From 4cced024b6b6b6f132ce99ca3a5d9296710bc6e0 Mon Sep 17 00:00:00 2001 From: nkempynck Date: Thu, 12 Dec 2024 10:25:02 +0100 Subject: [PATCH] notebook ruff update --- docs/tutorials/model_training_and_eval.ipynb | 6326 ++++++++---------- 1 file changed, 2855 insertions(+), 3471 deletions(-) diff --git a/docs/tutorials/model_training_and_eval.ipynb b/docs/tutorials/model_training_and_eval.ipynb index 7279de5..fc09a0a 100644 --- a/docs/tutorials/model_training_and_eval.ipynb +++ b/docs/tutorials/model_training_and_eval.ipynb @@ -1,3527 +1,2911 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Introduction to CREsted with Peak Regression\n", - "\n", - "In this introductory notebook, we will train a peak regression model on the mouse BICCN data and inspect the results to get a feel for the capabilities of the CREsted package. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Import Data\n", - "\n", - "For this tutorial, we will use the mouse BICCN dataset which is available in the {func}`~crested.get_dataset` function. \n", - "To train a CREsted peak regression model on your data, you need: \n", - "1. A consensus regions BED file containing all the regions of interest accross cell types.\n", - "2. A folder containing the bigwig files per cell type. Each file should be named according to the cell type: {cell type name}.bw.\n", - "3. A genome fasta file and optionally a chromosome sizes file.\n", - "\n", - "You could use a tool like SnapATAC2 to generate the consensus regions and bigwig files from your own data." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-12-11 17:44:19.486385: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" - ] - } - ], - "source": [ - "from pathlib import Path\n", - "import numpy as np\n", - "%matplotlib inline\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "from sklearn.metrics import pairwise\n", - "import anndata as ad\n", - "import keras\n", - "import crested" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Set the font type to ensure text is saved as whole words\n", - "matplotlib.rcParams[\"pdf.fonttype\"] = 42 # Use TrueType fonts instead of Type 3 fonts\n", - "matplotlib.rcParams[\"ps.fonttype\"] = 42 # For PostScript as well, if needed" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Download the tutorial data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "bigwigs_folder, regions_file = crested.get_dataset(\"mouse_cortex_bigwig\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Or if you have the data already available:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "bigwigs_folder = (\n", - " \"../../../../mouse/biccn/bigwigs/fragments_bws/\"\n", - ")\n", - "regions_file = (\n", - " \"../../../..//mouse/biccn/consensus_peaks_inputs.bed\"\n", - ")\n", - "chromsizes_file = \"../../../..//mouse/biccn/mm.chrom.sizes\"" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By loading our genome in the {class}`crested.Genome` class and setting it with {func}`~crested.register_genome`, the genome is automatically used in all functions throughout CREsted. If you don't provide the chromomsome sizes, they will be automatically calculated from the fasta.\n", - "```{note}\n", - "Any function or class that expects a genome object can still accept a genome object as explicit input even if one was already registered. In that case, the input will be used instead of the registered genome. \n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:44:25.061594+0100 INFO Genome mm10 registered.\n" - ] - } - ], - "source": [ - "# Set the genome\n", - "genome_dir = Path(\"../../../../mouse/biccn/\")\n", - "genome = crested.Genome(genome_dir / \"mm10.fa\", genome_dir / \"mm10.chrom.sizes\")\n", - "crested.register_genome(genome)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can use the {func}`~crested.import_bigwigs` function to import bigwigs per cell type and a consensus regions BED file into an {class}`anndata.AnnData` object,\n", - "with the imported cell types as the `AnnData.obs` and the consensus peak regions as the `AnnData.var`. \n", - "\n", - "Optionally, provide a chromsizes file to filter out regions that are not within the chromsizes. " - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:44:31.417744+0100 INFO Extracting values from 19 bigWig files...\n" - ] - }, - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 19 × 546993\n", - " obs: 'file_path'\n", - " var: 'chr', 'start', 'end'" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "adata = crested.import_bigwigs(\n", - " bigwigs_folder=bigwigs_folder,\n", - " regions_file=regions_file,\n", - " target_region_width=1000, # optionally, use a different width than the consensus regions file (500bp) for the .X values calculation\n", - " target=\"count\", # or \"max\", \"mean\", \"logcount\" --> what we will be predicting\n", - ")\n", - "adata" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To train a model, we always need to add a *split* column to our dataset, which we can do using {func}`crested.pp.train_val_test_split`. \n", - "This will add a column to the `AnnData.obs` with the split type for each region (train, val, or test)." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "split\n", - "train 440993\n", - "val 56064\n", - "test 49936\n", - "Name: count, dtype: int64\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", - "
chrstartendsplit
region
chr1:3093998-3096112chr130939983096112train
chr1:3094663-3096777chr130946633096777train
chr1:3111367-3113481chr131113673113481train
chr1:3112727-3114841chr131127273114841train
chr1:3118939-3121053chr131189393121053train
...............
chrX:169878506-169880620chrX169878506169880620train
chrX:169879374-169881488chrX169879374169881488train
chrX:169924670-169926784chrX169924670169926784train
chrX:169947743-169949857chrX169947743169949857train
chrX:169950171-169952285chrX169950171169952285train
\n", - "

546993 rows × 4 columns

\n", - "
" - ], - "text/plain": [ - " chr start end split\n", - "region \n", - "chr1:3093998-3096112 chr1 3093998 3096112 train\n", - "chr1:3094663-3096777 chr1 3094663 3096777 train\n", - "chr1:3111367-3113481 chr1 3111367 3113481 train\n", - "chr1:3112727-3114841 chr1 3112727 3114841 train\n", - "chr1:3118939-3121053 chr1 3118939 3121053 train\n", - "... ... ... ... ...\n", - "chrX:169878506-169880620 chrX 169878506 169880620 train\n", - "chrX:169879374-169881488 chrX 169879374 169881488 train\n", - "chrX:169924670-169926784 chrX 169924670 169926784 train\n", - "chrX:169947743-169949857 chrX 169947743 169949857 train\n", - "chrX:169950171-169952285 chrX 169950171 169952285 train\n", - "\n", - "[546993 rows x 4 columns]" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Choose the chromosomes for the validation and test sets\n", - "crested.pp.train_val_test_split(\n", - " adata, strategy=\"chr\", val_chroms=[\"chr8\", \"chr10\"], test_chroms=[\"chr9\", \"chr18\"]\n", - ")\n", - "\n", - "# Alternatively, We can split randomly on the regions\n", - "# crested.pp.train_val_test_split(\n", - "# adata, strategy=\"region\", val_size=0.1, test_size=0.1, random_state=42\n", - "# )\n", - "\n", - "print(adata.var[\"split\"].value_counts())\n", - "adata.var" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Preprocessing" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Region Width\n", - "\n", - "For this example we're interested in training on wider regions than our consensus regions file (500bp) to also include some sequence information from the tails of our peaks. \n", - "\n", - "We change it to 2114 bp regions since that is what the Chrombpnet architecture was originally trained on and that's what we'll be using. This is not fixed and can be adapted to what you prefer, as long as it is compatible with the model architecture. \n", - "\n", - "Wider regions will mean that you don't only include sequence information from the center of the peaks and could effectively increase your dataset size if the tails of the peak include meaningful information, but could also introduce noise if the tails are not informative. \n", - "Wider regions will also increase the computational cost of training the model. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "crested.pp.change_regions_width(\n", - " adata,\n", - " 2114,\n", - ") # change the adata width of the regions to 2114bp" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Peak Normalization\n", - "\n", - "Additionally, we can normalize our peak values based on the variability of the top peak heights per cell type using the {func}`crested.pp.normalize_peaks` function. \n", - "\n", - "This function applies a normalization scalar to each cell type, obtained by comparing per cell type the distribution of peak heights for the maximally accessible regions which are not specific to any cell type." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:45:01.808839+0100 INFO Filtering on top k Gini scores...\n", - "2024-12-11T17:45:05.246498+0100 INFO Added normalization weights to adata.obsm['weights']...\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", - "
chrstartendsplit
region
chr5:76656624-76658738chr57665662476658738train
chr13:30900787-30902901chr133090078730902901train
chr9:65586049-65588163chr96558604965588163test
chr9:65586556-65588670chr96558655665588670test
chr9:65587095-65589209chr96558709565589209test
...............
chr9:65459289-65461403chr96545928965461403test
chr9:65459852-65461966chr96545985265461966test
chr5:76587680-76589794chr57658768076589794train
chr9:65523082-65525196chr96552308265525196test
chr19:18337654-18339768chr191833765418339768train
\n", - "

48308 rows × 4 columns

\n", - "
" - ], - "text/plain": [ - " chr start end split\n", - "region \n", - "chr5:76656624-76658738 chr5 76656624 76658738 train\n", - "chr13:30900787-30902901 chr13 30900787 30902901 train\n", - "chr9:65586049-65588163 chr9 65586049 65588163 test\n", - "chr9:65586556-65588670 chr9 65586556 65588670 test\n", - "chr9:65587095-65589209 chr9 65587095 65589209 test\n", - "... ... ... ... ...\n", - "chr9:65459289-65461403 chr9 65459289 65461403 test\n", - "chr9:65459852-65461966 chr9 65459852 65461966 test\n", - "chr5:76587680-76589794 chr5 76587680 76589794 train\n", - "chr9:65523082-65525196 chr9 65523082 65525196 test\n", - "chr19:18337654-18339768 chr19 18337654 18339768 train\n", - "\n", - "[48308 rows x 4 columns]" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "crested.pp.normalize_peaks(\n", - " adata, top_k_percent=0.03\n", - ") # The top_k_percent parameters can be tuned based on potential bias towards cell types. If some weights are overcompensating too much, consider increasing the top_k_percent. Default is 0.01" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can visualize the normalization factor for each cell type using the {func}`crested.pl.bar.normalization_weights` function to inspect which cell type peaks were up/down weighted." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "crested.pl.bar.normalization_weights(\n", - " adata, title=\"Normalization Weights per Cell Type\", x_label_rotation=90\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There is no single best way to preprocess your data, so we recommend experimenting with different preprocessing steps to see what works best for your data. \n", - "Likewise there is no single best training approach, so we recommend experimenting with different training strategies." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# Save the final preprocessing results\n", - "adata.write_h5ad(\"mouse_cortex.h5ad\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Model Training\n", - "\n", - "The entire CREsted workflow is built around the {func}`crested.tl.Crested` class.\n", - "Everything that requires a model (training, evaluation, prediction) is done through this class. \n", - "This class has a couple of required arguments:\n", - "- `data`: the {class}`crested.tl.data.AnnDataModule` object containing all the data (anndata, genome) and dataloaders that specify how to load the data.\n", - "- `model`: the {class}`keras.Model` object containing the model architecture.\n", - "- `config`: the {class}`crested.tl.TaskConfig` object containing the optimizer, loss function, and metrics to use in training. \n", - "\n", - "Generally you wouldn't run these steps in a notebook, but rather in a script or a python file so you could run it on a cluster or in the background.\n", - "\n", - "### Data\n", - "\n", - "We'll start by initializing the {class}`crested.tl.data.AnnDataModule` object with our data. \n", - "This will tell our model how to load the data and what data to load during fitting/evaluation.\n", - "The main arguments to supply are the `adata` object, the `genome` file path, and the `batch_size`. \n", - "Other optional arguments are related to the training data loading (e.g. shuffling, whether to load the sequences into memory, ...).\n", - "\n", - "The genome file you need to provide yourself as this is not included in the crested package." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "# read in your preprocessed data\n", - "adata = ad.read_h5ad(\"mouse_cortex.h5ad\")" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "datamodule = crested.tl.data.AnnDataModule(\n", - " adata,\n", - " batch_size=256, # lower this if you encounter OOM errors\n", - " max_stochastic_shift=3, # optional augmentation\n", - " always_reverse_complement=True, # default True. Will double the effective size of the training dataset.\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Model definition \n", - "\n", - "Next, we'll define the model architecture. This is a standard Keras model definition, so you can provide your own model definition if you like. \n", - "Alternatively, there are a couple of ready-to-use models available in the `crested.tl.zoo` module. \n", - "Each of them require the width of the input sequences and the number of output classes (your `Anndata.obs`) as arguments." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-12-11 17:36:51.755884: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 903 MB memory: -> device: 0, name: NVIDIA H100 80GB HBM3, pci bus id: 0000:55:00.0, compute capability: 9.0\n" - ] - } - ], - "source": [ - "# Load chrombpnet architecture for a dataset with 2114bp regions and 19 cell types\n", - "model_architecture = crested.tl.zoo.chrombpnet(\n", - " seq_len=2114, num_classes=len(list(adata.obs_names))\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### TaskConfig\n", - "\n", - "The TaskConfig object specifies the optimizer, loss function, and metrics to use in training (we call this our 'task'). \n", - "Some default configurations are available for some common tasks such as 'topic_classification' and 'peak_regression',\n", - "which you can load using the {func}`crested.tl.default_configs` function. " - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TaskConfig(optimizer=, loss=, metrics=[, , , , , , ])\n" - ] - } - ], - "source": [ - "# Load the default configuration for training a peak regression model\n", - "config = crested.tl.default_configs(\n", - " \"peak_regression\"\n", - ") # or \"topic_classification\" for topic classification\n", - "print(config)\n", - "\n", - "# If you want to change some small parameters to an existing config, you can do it like this\n", - "# For example, the default learning rate is 0.001, but you can change it to 0.0001\n", - "# config.optimizer.learning_rate = 0.0001" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, you can create your own TaskConfig object and specify the optimizer, loss function, and metrics yourself if you want to do something completely custom." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TaskConfig(optimizer=, loss=, metrics=[, , , , , , ])\n" - ] - } - ], - "source": [ - "# Create your own configuration\n", - "# I recommend trying this for peak regression with a weighted cosine mse log loss function\n", - "import keras\n", - "\n", - "optimizer = keras.optimizers.Adam(learning_rate=1e-3)\n", - "loss = crested.tl.losses.CosineMSELogLoss(max_weight=100, multiplier=1)\n", - "metrics = [\n", - " keras.metrics.MeanAbsoluteError(),\n", - " keras.metrics.MeanSquaredError(),\n", - " keras.metrics.CosineSimilarity(axis=1),\n", - " crested.tl.metrics.PearsonCorrelation(),\n", - " crested.tl.metrics.ConcordanceCorrelationCoefficient(),\n", - " crested.tl.metrics.PearsonCorrelationLog(),\n", - " crested.tl.metrics.ZeroPenaltyMetric(),\n", - "]\n", - "\n", - "alternative_config = crested.tl.TaskConfig(optimizer, loss, metrics)\n", - "print(alternative_config)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Training\n", - "\n", - "Now we're ready to train our model.\n", - "We'll create a {class}`~crested.tl.Crested` object with the data, model, and config objects we just created. \n", - "Then, we can call the {meth}`~crested.tl.Crested.fit` method to train the model. \n", - "Read the documentation for more information on all available arguments to customize your training (e.g. augmentations, early stopping, checkpointing, ...). \n", - "\n", - "By default: \n", - "1. The model will continue training until the validation loss stops decreasing for 10 epochs with a maximum of 100 epochs. \n", - "2. Every best model is saved based on the validation loss.\n", - "3. The learning rate reduces by a factor of 0.25 if the validation loss stops decreasing for 5 epochs.\n", - "\n", - "```{note}\n", - "If you specify the same project_name and run_name as a previous run, then CREsted will assume that you want to continue training and will load the last available model checkpoint from the {project_name}/{run_name} folder and continue from that epoch.\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:37:08.000398+0100 WARNING Output directory mouse_biccn/basemodel/checkpoints already exists. Will continue training from epoch 18.\n" - ] - } - ], - "source": [ - "# setup the trainer\n", - "trainer = crested.tl.Crested(\n", - " data=datamodule,\n", - " model=model_architecture,\n", - " config=alternative_config,\n", - " project_name=\"mouse_biccn\", # change to your liking\n", - " run_name=\"basemodel\", # change to your liking\n", - " logger=\"wandb\", # or 'wandb', 'tensorboard'\n", - " seed=7,# For reproducibility\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Finishing last run (ID:t1jx172q) before initializing another..." - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(Label(value='0.016 MB of 0.016 MB uploaded\\r'), FloatProgress(value=1.0, max=1.0)))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View run basemodel at: https://wandb.ai/kemp/mouse_biccn/runs/t1jx172q
View project at: https://wandb.ai/kemp/mouse_biccn
Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Find logs at: ./wandb/run-20241209_201427-t1jx172q/logs" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Successfully finished last run (ID:t1jx172q). Initializing new run:
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Tracking run with wandb version 0.18.3" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Run data is saved locally in /data/projects/c04/cbd-saerts/nkemp/software/CREsted/docs/tutorials/wandb/run-20241209_201453-jciwxmaz" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Syncing run basemodel to Weights & Biases (docs)
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View project at https://wandb.ai/kemp/mouse_biccn" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View run at https://wandb.ai/kemp/mouse_biccn/runs/jciwxmaz" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-09T20:14:57.994147+0100 WARNING Model does not have an optimizer. Please compile the model before training.\n" - ] - }, - { - "data": { - "text/html": [ - "
Model: \"functional\"\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1mModel: \"functional\"\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
-          "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
-          "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
-          "│ sequence            │ (None, 2114, 4)   │          0 │ -                 │\n",
-          "│ (InputLayer)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ conv1d (Conv1D)     │ (None, 2114, 512) │     10,240 │ sequence[0][0]    │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ batch_normalization │ (None, 2114, 512) │      2,048 │ conv1d[0][0]      │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ activation          │ (None, 2114, 512) │          0 │ batch_normalizat… │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ dropout (Dropout)   │ (None, 2114, 512) │          0 │ activation[0][0]  │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1conv         │ (None, 2110, 512) │    786,432 │ dropout[0][0]     │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1bn           │ (None, 2110, 512) │      2,048 │ bpnet_1conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1activation   │ (None, 2110, 512) │          0 │ bpnet_1bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1crop         │ (None, 2110, 512) │          0 │ dropout[0][0]     │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add (Add)           │ (None, 2110, 512) │          0 │ bpnet_1activatio… │\n",
-          "│                     │                   │            │ bpnet_1crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1dropout      │ (None, 2110, 512) │          0 │ add[0][0]         │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2conv         │ (None, 2102, 512) │    786,432 │ bpnet_1dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2bn           │ (None, 2102, 512) │      2,048 │ bpnet_2conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2activation   │ (None, 2102, 512) │          0 │ bpnet_2bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2crop         │ (None, 2102, 512) │          0 │ bpnet_1dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_1 (Add)         │ (None, 2102, 512) │          0 │ bpnet_2activatio… │\n",
-          "│                     │                   │            │ bpnet_2crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2dropout      │ (None, 2102, 512) │          0 │ add_1[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3conv         │ (None, 2086, 512) │    786,432 │ bpnet_2dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3bn           │ (None, 2086, 512) │      2,048 │ bpnet_3conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3activation   │ (None, 2086, 512) │          0 │ bpnet_3bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3crop         │ (None, 2086, 512) │          0 │ bpnet_2dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_2 (Add)         │ (None, 2086, 512) │          0 │ bpnet_3activatio… │\n",
-          "│                     │                   │            │ bpnet_3crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3dropout      │ (None, 2086, 512) │          0 │ add_2[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4conv         │ (None, 2054, 512) │    786,432 │ bpnet_3dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4bn           │ (None, 2054, 512) │      2,048 │ bpnet_4conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4activation   │ (None, 2054, 512) │          0 │ bpnet_4bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4crop         │ (None, 2054, 512) │          0 │ bpnet_3dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_3 (Add)         │ (None, 2054, 512) │          0 │ bpnet_4activatio… │\n",
-          "│                     │                   │            │ bpnet_4crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4dropout      │ (None, 2054, 512) │          0 │ add_3[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5conv         │ (None, 1990, 512) │    786,432 │ bpnet_4dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5bn           │ (None, 1990, 512) │      2,048 │ bpnet_5conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5activation   │ (None, 1990, 512) │          0 │ bpnet_5bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5crop         │ (None, 1990, 512) │          0 │ bpnet_4dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_4 (Add)         │ (None, 1990, 512) │          0 │ bpnet_5activatio… │\n",
-          "│                     │                   │            │ bpnet_5crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5dropout      │ (None, 1990, 512) │          0 │ add_4[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6conv         │ (None, 1862, 512) │    786,432 │ bpnet_5dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6bn           │ (None, 1862, 512) │      2,048 │ bpnet_6conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6activation   │ (None, 1862, 512) │          0 │ bpnet_6bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6crop         │ (None, 1862, 512) │          0 │ bpnet_5dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_5 (Add)         │ (None, 1862, 512) │          0 │ bpnet_6activatio… │\n",
-          "│                     │                   │            │ bpnet_6crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6dropout      │ (None, 1862, 512) │          0 │ add_5[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7conv         │ (None, 1606, 512) │    786,432 │ bpnet_6dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7bn           │ (None, 1606, 512) │      2,048 │ bpnet_7conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7activation   │ (None, 1606, 512) │          0 │ bpnet_7bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7crop         │ (None, 1606, 512) │          0 │ bpnet_6dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_6 (Add)         │ (None, 1606, 512) │          0 │ bpnet_7activatio… │\n",
-          "│                     │                   │            │ bpnet_7crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7dropout      │ (None, 1606, 512) │          0 │ add_6[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8conv         │ (None, 1094, 512) │    786,432 │ bpnet_7dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8bn           │ (None, 1094, 512) │      2,048 │ bpnet_8conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8activation   │ (None, 1094, 512) │          0 │ bpnet_8bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8crop         │ (None, 1094, 512) │          0 │ bpnet_7dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_7 (Add)         │ (None, 1094, 512) │          0 │ bpnet_8activatio… │\n",
-          "│                     │                   │            │ bpnet_8crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8dropout      │ (None, 1094, 512) │          0 │ add_7[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ global_average_poo… │ (None, 512)       │          0 │ bpnet_8dropout[0… │\n",
-          "│ (GlobalAveragePool… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ dense_out (Dense)   │ (None, 19)        │      9,747 │ global_average_p… │\n",
-          "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
-          "
\n" - ], - "text/plain": [ - "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n", - "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", - "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n", - "│ sequence │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", - "│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ conv1d (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m10,240\u001b[0m │ sequence[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ batch_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ conv1d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_1conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1activatio… │\n", - "│ │ │ │ bpnet_1crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_1dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_2conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_1 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2activatio… │\n", - "│ │ │ │ bpnet_2crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_2dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_3conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_2 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3activatio… │\n", - "│ │ │ │ bpnet_3crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_3dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_4conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_3 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4activatio… │\n", - "│ │ │ │ bpnet_4crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_4dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_5conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_4 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5activatio… │\n", - "│ │ │ │ bpnet_5crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_5dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_6conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_5 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6activatio… │\n", - "│ │ │ │ bpnet_6crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_6dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_7conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_6 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7activatio… │\n", - "│ │ │ │ bpnet_7crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_7dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_8conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_7 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8activatio… │\n", - "│ │ │ │ bpnet_8crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ dense_out (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m19\u001b[0m) │ \u001b[38;5;34m9,747\u001b[0m │ global_average_p… │\n", - "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
 Total params: 6,329,875 (24.15 MB)\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m6,329,875\u001b[0m (24.15 MB)\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
 Trainable params: 6,320,659 (24.11 MB)\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m6,320,659\u001b[0m (24.11 MB)\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
 Non-trainable params: 9,216 (36.00 KB)\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m9,216\u001b[0m (36.00 KB)\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "None\n", - "2024-12-09T20:14:58.159088+0100 INFO Loading sequences into memory...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 440993/440993 [00:06<00:00, 70034.00it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-09T20:15:05.095428+0100 INFO Loading sequences into memory...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 56064/56064 [00:00<00:00, 95089.49it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/60\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "I0000 00:00:1733771708.634832 2947427 service.cc:145] XLA service 0x7fbd08003320 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", - "I0000 00:00:1733771708.634883 2947427 service.cc:153] StreamExecutor device (0): NVIDIA H100 80GB HBM3, Compute Capability 9.0\n", - "2024-12-09 20:15:08.767218: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n", - "2024-12-09 20:15:09.187427: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:465] Loaded cuDNN version 8907\n", - "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "I0000 00:00:1733771713.681530 2947615 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 8 bytes spill stores, 8 bytes spill loads\n", - "\n", - "I0000 00:00:1733771714.166440 2947611 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 8 bytes spill stores, 8 bytes spill loads\n", - "\n", - "I0000 00:00:1733771738.637313 2947427 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m3445/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 223ms/step - concordance_correlation_coefficient: 0.5750 - cosine_similarity: 0.8166 - loss: -0.3449 - mean_absolute_error: 3.2040 - mean_squared_error: 45.8918 - pearson_correlation: 0.6825 - pearson_correlation_log: 0.5407 - zero_penalty_metric: 1136.6290" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "I0000 00:00:1733772512.438943 2948508 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_5605', 64 bytes spill stores, 64 bytes spill loads\n", - "\n", - "I0000 00:00:1733772513.222603 2948506 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 24 bytes spill stores, 24 bytes spill loads\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m3446/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m833s\u001b[0m 232ms/step - concordance_correlation_coefficient: 0.5750 - cosine_similarity: 0.8166 - loss: -0.3449 - mean_absolute_error: 3.2039 - mean_squared_error: 45.8899 - pearson_correlation: 0.6825 - pearson_correlation_log: 0.5407 - zero_penalty_metric: 1136.6272 - val_concordance_correlation_coefficient: 0.4512 - val_cosine_similarity: 0.6731 - val_loss: 0.5619 - val_mean_absolute_error: 9.3106 - val_mean_squared_error: 198.5345 - val_pearson_correlation: 0.5837 - val_pearson_correlation_log: 0.4806 - val_zero_penalty_metric: 908.3172 - learning_rate: 0.0010\n", - "Epoch 2/60\n", - "\u001b[1m3446/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m783s\u001b[0m 227ms/step - concordance_correlation_coefficient: 0.6789 - cosine_similarity: 0.8460 - loss: -0.4591 - mean_absolute_error: 2.8753 - mean_squared_error: 36.1717 - pearson_correlation: 0.7676 - pearson_correlation_log: 0.6078 - zero_penalty_metric: 1115.6266 - val_concordance_correlation_coefficient: 0.6851 - val_cosine_similarity: 0.8106 - val_loss: -0.3190 - val_mean_absolute_error: 3.2301 - val_mean_squared_error: 40.4674 - val_pearson_correlation: 0.7418 - val_pearson_correlation_log: 0.5651 - val_zero_penalty_metric: 1070.3921 - learning_rate: 0.0010\n", - "Epoch 3/60\n", - "\u001b[1m3446/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m783s\u001b[0m 227ms/step - concordance_correlation_coefficient: 0.7293 - cosine_similarity: 0.8592 - loss: -0.4970 - mean_absolute_error: 2.7146 - mean_squared_error: 31.4138 - pearson_correlation: 0.8026 - pearson_correlation_log: 0.6242 - zero_penalty_metric: 1111.0103 - val_concordance_correlation_coefficient: 0.7375 - val_cosine_similarity: 0.8421 - val_loss: -0.3265 - val_mean_absolute_error: 3.3975 - val_mean_squared_error: 35.2583 - val_pearson_correlation: 0.7845 - val_pearson_correlation_log: 0.5985 - val_zero_penalty_metric: 1198.2017 - learning_rate: 0.0010\n", - "Epoch 4/60\n", - "\u001b[1m2191/3446\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m4:40\u001b[0m 223ms/step - concordance_correlation_coefficient: 0.7562 - cosine_similarity: 0.8663 - loss: -0.5173 - mean_absolute_error: 2.6118 - mean_squared_error: 28.6017 - pearson_correlation: 0.8187 - pearson_correlation_log: 0.6330 - zero_penalty_metric: 1106.6896" - ] - } - ], - "source": [ - "# train the model\n", - "trainer.fit(\n", - " epochs=60, \n", - " learning_rate_reduce_patience=3,\n", - " early_stopping_patience=6,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Finetuning on cell type-specific regions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Subsetting the consensuspeak set" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For peak regression models, we recommend to continue training the model trained on all consensuspeaks on a subset of cell type-specific regions.\n", - "Since we are interested in understanding the enhancer code uniquely identifying the cell types in the dataset, finetuning on specific regions will allow us to approach that.\n", - "We define specific regions as regions with a high Gini index, indicating that their peak distribution over all cell types will be skewed and specific for one or more cell types." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Read the documentation of the {func}`crested.pp.filter_regions_on_specificity` function for more information on how the filtering is done. " - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:37:26.341761+0100 INFO After specificity filtering, kept 91475 out of 546993 regions.\n" - ] - }, - { - "data": { - "text/plain": [ - "AnnData object with n_obs × n_vars = 19 × 91475\n", - " obs: 'file_path'\n", - " var: 'chr', 'start', 'end', 'split'\n", - " obsm: 'weights'" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "crested.pp.filter_regions_on_specificity(\n", - " adata, gini_std_threshold=1.0\n", - ") # All regions with a Gini index 1 std above the mean across all regions will be kept\n", - "adata" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "adata.write_h5ad(\"mouse_cortex_filtered.h5ad\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Loading the pretrained model on all consensuspeaks and finetuning with lower learning rate" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "datamodule = crested.tl.data.AnnDataModule(\n", - " adata,\n", - " batch_size=64, # Recommended to go for a smaller batch size than in the basemodel\n", - " max_stochastic_shift=3,\n", - " always_reverse_complement=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "# First load the pretrained model on all peaks\n", - "import keras\n", - "\n", - "model_architecture = keras.models.load_model(\n", - " \"mouse_biccn/basemodel/checkpoints/17.keras\", compile=False # Choose the basemodel with best validation loss/performance metrics\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TaskConfig(optimizer=, loss=, metrics=[, , , , , , ])\n" - ] - } - ], - "source": [ - "# Use the same config you used for the pretrained model. EXCEPT THE LEARNING RATE, make sure that is lower than it was on the epoch you select the model from.\n", - "import keras\n", + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Introduction to CREsted with Peak Regression\n", + "\n", + "In this introductory notebook, we will train a peak regression model on the mouse BICCN data and inspect the results to get a feel for the capabilities of the CREsted package. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Import Data\n", + "\n", + "For this tutorial, we will use the mouse BICCN dataset which is available in the {func}`~crested.get_dataset` function. \n", + "To train a CREsted peak regression model on your data, you need: \n", + "1. A consensus regions BED file containing all the regions of interest accross cell types.\n", + "2. A folder containing the bigwig files per cell type. Each file should be named according to the cell type: {cell type name}.bw.\n", + "3. A genome fasta file and optionally a chromosome sizes file.\n", + "\n", + "You could use a tool like SnapATAC2 to generate the consensus regions and bigwig files from your own data." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-12 10:18:14.700235: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2024-12-12 10:18:14.737296: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX512_FP16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2024-12-12 10:18:17.419613: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n" + ] + } + ], + "source": [ + "from pathlib import Path\n", + "import numpy as np\n", + "%matplotlib inline\n", + "import matplotlib\n", + "from sklearn.metrics import pairwise\n", + "import anndata as ad\n", + "import keras\n", + "import crested" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Set the font type to ensure text is saved as whole words\n", + "matplotlib.rcParams[\"pdf.fonttype\"] = 42 # Use TrueType fonts instead of Type 3 fonts\n", + "matplotlib.rcParams[\"ps.fonttype\"] = 42 # For PostScript as well, if needed" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Download the tutorial data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bigwigs_folder, regions_file = crested.get_dataset(\"mouse_cortex_bigwig\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Or if you have the data already available:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "bigwigs_folder = (\n", + " \"../../../../mouse/biccn/bigwigs/fragments_bws/\"\n", + ")\n", + "regions_file = (\n", + " \"../../../..//mouse/biccn/consensus_peaks_inputs.bed\"\n", + ")\n", + "chromsizes_file = \"../../../..//mouse/biccn/mm.chrom.sizes\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By loading our genome in the {class}`crested.Genome` class and setting it with {func}`~crested.register_genome`, the genome is automatically used in all functions throughout CREsted. If you don't provide the chromomsome sizes, they will be automatically calculated from the fasta.\n", + "```{note}\n", + "Any function or class that expects a genome object can still accept a genome object as explicit input even if one was already registered. In that case, the input will be used instead of the registered genome. \n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:18:24.298297+0100 INFO Genome mm10 registered.\n" + ] + } + ], + "source": [ + "# Set the genome\n", + "genome_dir = Path(\"../../../../mouse/biccn/\")\n", + "genome = crested.Genome(genome_dir / \"mm10.fa\", genome_dir / \"mm10.chrom.sizes\")\n", + "crested.register_genome(genome)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can use the {func}`~crested.import_bigwigs` function to import bigwigs per cell type and a consensus regions BED file into an {class}`anndata.AnnData` object,\n", + "with the imported cell types as the `AnnData.obs` and the consensus peak regions as the `AnnData.var`. \n", + "\n", + "Optionally, provide a chromsizes file to filter out regions that are not within the chromsizes. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:18:30.706855+0100 INFO Extracting values from 19 bigWig files...\n" + ] + }, + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 19 × 546993\n", + " obs: 'file_path'\n", + " var: 'chr', 'start', 'end'" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adata = crested.import_bigwigs(\n", + " bigwigs_folder=bigwigs_folder,\n", + " regions_file=regions_file,\n", + " target_region_width=1000, # optionally, use a different width than the consensus regions file (500bp) for the .X values calculation\n", + " target=\"count\", # or \"max\", \"mean\", \"logcount\" --> what we will be predicting\n", + ")\n", + "adata" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To train a model, we always need to add a *split* column to our dataset, which we can do using {func}`crested.pp.train_val_test_split`. \n", + "This will add a column to the `AnnData.obs` with the split type for each region (train, val, or test)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "split\n", + "train 440993\n", + "val 56064\n", + "test 49936\n", + "Name: count, dtype: int64\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", + "
chrstartendsplit
region
chr1:3093998-3096112chr130939983096112train
chr1:3094663-3096777chr130946633096777train
chr1:3111367-3113481chr131113673113481train
chr1:3112727-3114841chr131127273114841train
chr1:3118939-3121053chr131189393121053train
...............
chrX:169878506-169880620chrX169878506169880620train
chrX:169879374-169881488chrX169879374169881488train
chrX:169924670-169926784chrX169924670169926784train
chrX:169947743-169949857chrX169947743169949857train
chrX:169950171-169952285chrX169950171169952285train
\n", + "

546993 rows × 4 columns

\n", + "
" ], - "source": [ - "# setup the trainer\n", - "trainer = crested.tl.Crested(\n", - " data=datamodule,\n", - " model=model_architecture,\n", - " config=alternative_config,\n", - " project_name=\"mouse_biccn\", # change to your liking\n", - " run_name=\"finetuned_model\", # change to your liking\n", - " logger=\"wandb\", # or 'wandb', 'tensorboard'\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Tracking run with wandb version 0.18.3" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Run data is saved locally in /data/projects/c04/cbd-saerts/nkemp/software/CREsted/docs/tutorials/wandb/run-20241210_101708-24z6trqb" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Syncing run finetuned_model to Weights & Biases (docs)
" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View project at https://wandb.ai/kemp/mouse_biccn" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View run at https://wandb.ai/kemp/mouse_biccn/runs/24z6trqb" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-10T10:17:11.018810+0100 WARNING Model does not have an optimizer. Please compile the model before training.\n" - ] - }, - { - "data": { - "text/html": [ - "
Model: \"functional\"\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1mModel: \"functional\"\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
-          "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
-          "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
-          "│ sequence            │ (None, 2114, 4)   │          0 │ -                 │\n",
-          "│ (InputLayer)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ conv1d (Conv1D)     │ (None, 2114, 512) │     10,240 │ sequence[0][0]    │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ batch_normalization │ (None, 2114, 512) │      2,048 │ conv1d[0][0]      │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ activation          │ (None, 2114, 512) │          0 │ batch_normalizat… │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ dropout (Dropout)   │ (None, 2114, 512) │          0 │ activation[0][0]  │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1conv         │ (None, 2110, 512) │    786,432 │ dropout[0][0]     │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1bn           │ (None, 2110, 512) │      2,048 │ bpnet_1conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1activation   │ (None, 2110, 512) │          0 │ bpnet_1bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1crop         │ (None, 2110, 512) │          0 │ dropout[0][0]     │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add (Add)           │ (None, 2110, 512) │          0 │ bpnet_1activatio… │\n",
-          "│                     │                   │            │ bpnet_1crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_1dropout      │ (None, 2110, 512) │          0 │ add[0][0]         │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2conv         │ (None, 2102, 512) │    786,432 │ bpnet_1dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2bn           │ (None, 2102, 512) │      2,048 │ bpnet_2conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2activation   │ (None, 2102, 512) │          0 │ bpnet_2bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2crop         │ (None, 2102, 512) │          0 │ bpnet_1dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_1 (Add)         │ (None, 2102, 512) │          0 │ bpnet_2activatio… │\n",
-          "│                     │                   │            │ bpnet_2crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_2dropout      │ (None, 2102, 512) │          0 │ add_1[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3conv         │ (None, 2086, 512) │    786,432 │ bpnet_2dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3bn           │ (None, 2086, 512) │      2,048 │ bpnet_3conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3activation   │ (None, 2086, 512) │          0 │ bpnet_3bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3crop         │ (None, 2086, 512) │          0 │ bpnet_2dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_2 (Add)         │ (None, 2086, 512) │          0 │ bpnet_3activatio… │\n",
-          "│                     │                   │            │ bpnet_3crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_3dropout      │ (None, 2086, 512) │          0 │ add_2[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4conv         │ (None, 2054, 512) │    786,432 │ bpnet_3dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4bn           │ (None, 2054, 512) │      2,048 │ bpnet_4conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4activation   │ (None, 2054, 512) │          0 │ bpnet_4bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4crop         │ (None, 2054, 512) │          0 │ bpnet_3dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_3 (Add)         │ (None, 2054, 512) │          0 │ bpnet_4activatio… │\n",
-          "│                     │                   │            │ bpnet_4crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_4dropout      │ (None, 2054, 512) │          0 │ add_3[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5conv         │ (None, 1990, 512) │    786,432 │ bpnet_4dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5bn           │ (None, 1990, 512) │      2,048 │ bpnet_5conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5activation   │ (None, 1990, 512) │          0 │ bpnet_5bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5crop         │ (None, 1990, 512) │          0 │ bpnet_4dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_4 (Add)         │ (None, 1990, 512) │          0 │ bpnet_5activatio… │\n",
-          "│                     │                   │            │ bpnet_5crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_5dropout      │ (None, 1990, 512) │          0 │ add_4[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6conv         │ (None, 1862, 512) │    786,432 │ bpnet_5dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6bn           │ (None, 1862, 512) │      2,048 │ bpnet_6conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6activation   │ (None, 1862, 512) │          0 │ bpnet_6bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6crop         │ (None, 1862, 512) │          0 │ bpnet_5dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_5 (Add)         │ (None, 1862, 512) │          0 │ bpnet_6activatio… │\n",
-          "│                     │                   │            │ bpnet_6crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_6dropout      │ (None, 1862, 512) │          0 │ add_5[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7conv         │ (None, 1606, 512) │    786,432 │ bpnet_6dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7bn           │ (None, 1606, 512) │      2,048 │ bpnet_7conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7activation   │ (None, 1606, 512) │          0 │ bpnet_7bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7crop         │ (None, 1606, 512) │          0 │ bpnet_6dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_6 (Add)         │ (None, 1606, 512) │          0 │ bpnet_7activatio… │\n",
-          "│                     │                   │            │ bpnet_7crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_7dropout      │ (None, 1606, 512) │          0 │ add_6[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8conv         │ (None, 1094, 512) │    786,432 │ bpnet_7dropout[0… │\n",
-          "│ (Conv1D)            │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8bn           │ (None, 1094, 512) │      2,048 │ bpnet_8conv[0][0] │\n",
-          "│ (BatchNormalizatio… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8activation   │ (None, 1094, 512) │          0 │ bpnet_8bn[0][0]   │\n",
-          "│ (Activation)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8crop         │ (None, 1094, 512) │          0 │ bpnet_7dropout[0… │\n",
-          "│ (Cropping1D)        │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ add_7 (Add)         │ (None, 1094, 512) │          0 │ bpnet_8activatio… │\n",
-          "│                     │                   │            │ bpnet_8crop[0][0] │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ bpnet_8dropout      │ (None, 1094, 512) │          0 │ add_7[0][0]       │\n",
-          "│ (Dropout)           │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ global_average_poo… │ (None, 512)       │          0 │ bpnet_8dropout[0… │\n",
-          "│ (GlobalAveragePool… │                   │            │                   │\n",
-          "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
-          "│ dense_out (Dense)   │ (None, 19)        │      9,747 │ global_average_p… │\n",
-          "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
-          "
\n" - ], - "text/plain": [ - "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n", - "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", - "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n", - "│ sequence │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", - "│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ conv1d (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m10,240\u001b[0m │ sequence[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ batch_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ conv1d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_1conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1activatio… │\n", - "│ │ │ │ bpnet_1crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_1dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_1dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_2conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_1 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2activatio… │\n", - "│ │ │ │ bpnet_2crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_2dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_2dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_3conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_2 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3activatio… │\n", - "│ │ │ │ bpnet_3crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_3dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_3dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_4conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_3 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4activatio… │\n", - "│ │ │ │ bpnet_4crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_4dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_4dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_5conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_4 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5activatio… │\n", - "│ │ │ │ bpnet_5crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_5dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_5dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_6conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_5 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6activatio… │\n", - "│ │ │ │ bpnet_6crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_6dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_6dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_7conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_6 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7activatio… │\n", - "│ │ │ │ bpnet_7crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_7dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_7dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_8conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ add_7 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8activatio… │\n", - "│ │ │ │ bpnet_8crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ bpnet_8dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", - "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8dropout[\u001b[38;5;34m0\u001b[0m… │\n", - "│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n", - "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", - "│ dense_out (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m19\u001b[0m) │ \u001b[38;5;34m9,747\u001b[0m │ global_average_p… │\n", - "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
 Total params: 6,329,875 (24.15 MB)\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m6,329,875\u001b[0m (24.15 MB)\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
 Trainable params: 6,320,659 (24.11 MB)\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m6,320,659\u001b[0m (24.11 MB)\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
 Non-trainable params: 9,216 (36.00 KB)\n",
-          "
\n" - ], - "text/plain": [ - "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m9,216\u001b[0m (36.00 KB)\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "None\n", - "2024-12-10T10:17:11.156833+0100 INFO Loading sequences into memory...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 73326/73326 [00:01<00:00, 61591.72it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-10T10:17:12.455635+0100 INFO Loading sequences into memory...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 9951/9951 [00:00<00:00, 79698.90it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 1/60\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "I0000 00:00:1733822240.128540 3011475 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 8 bytes spill stores, 8 bytes spill loads\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m176s\u001b[0m 69ms/step - concordance_correlation_coefficient: 0.6492 - cosine_similarity: 0.8626 - loss: -0.5709 - mean_absolute_error: 1.7135 - mean_squared_error: 14.5480 - pearson_correlation: 0.7711 - pearson_correlation_log: 0.6164 - zero_penalty_metric: 679.6118 - val_concordance_correlation_coefficient: 0.7098 - val_cosine_similarity: 0.8698 - val_loss: -0.5925 - val_mean_absolute_error: 1.5899 - val_mean_squared_error: 12.9636 - val_pearson_correlation: 0.7636 - val_pearson_correlation_log: 0.6342 - val_zero_penalty_metric: 616.4589 - learning_rate: 1.0000e-04\n", - "Epoch 2/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m141s\u001b[0m 62ms/step - concordance_correlation_coefficient: 0.6865 - cosine_similarity: 0.8755 - loss: -0.6104 - mean_absolute_error: 1.6214 - mean_squared_error: 13.4049 - pearson_correlation: 0.7895 - pearson_correlation_log: 0.6363 - zero_penalty_metric: 662.4706 - val_concordance_correlation_coefficient: 0.7158 - val_cosine_similarity: 0.8705 - val_loss: -0.5989 - val_mean_absolute_error: 1.5736 - val_mean_squared_error: 12.6645 - val_pearson_correlation: 0.7703 - val_pearson_correlation_log: 0.6363 - val_zero_penalty_metric: 621.6379 - learning_rate: 1.0000e-04\n", - "Epoch 3/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7032 - cosine_similarity: 0.8803 - loss: -0.6233 - mean_absolute_error: 1.5923 - mean_squared_error: 12.9702 - pearson_correlation: 0.7994 - pearson_correlation_log: 0.6397 - zero_penalty_metric: 660.9808 - val_concordance_correlation_coefficient: 0.7213 - val_cosine_similarity: 0.8705 - val_loss: -0.5984 - val_mean_absolute_error: 1.5756 - val_mean_squared_error: 12.6137 - val_pearson_correlation: 0.7694 - val_pearson_correlation_log: 0.6345 - val_zero_penalty_metric: 621.8149 - learning_rate: 1.0000e-04\n", - "Epoch 4/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m141s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7163 - cosine_similarity: 0.8841 - loss: -0.6329 - mean_absolute_error: 1.5691 - mean_squared_error: 12.5336 - pearson_correlation: 0.8058 - pearson_correlation_log: 0.6412 - zero_penalty_metric: 662.6437 - val_concordance_correlation_coefficient: 0.7267 - val_cosine_similarity: 0.8709 - val_loss: -0.6010 - val_mean_absolute_error: 1.5746 - val_mean_squared_error: 12.6059 - val_pearson_correlation: 0.7667 - val_pearson_correlation_log: 0.6334 - val_zero_penalty_metric: 625.9355 - learning_rate: 1.0000e-04\n", - "Epoch 5/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7238 - cosine_similarity: 0.8875 - loss: -0.6413 - mean_absolute_error: 1.5547 - mean_squared_error: 12.2966 - pearson_correlation: 0.8110 - pearson_correlation_log: 0.6442 - zero_penalty_metric: 656.8362 - val_concordance_correlation_coefficient: 0.7304 - val_cosine_similarity: 0.8705 - val_loss: -0.5984 - val_mean_absolute_error: 1.5820 - val_mean_squared_error: 12.5903 - val_pearson_correlation: 0.7656 - val_pearson_correlation_log: 0.6319 - val_zero_penalty_metric: 622.9933 - learning_rate: 1.0000e-04\n", - "Epoch 6/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7311 - cosine_similarity: 0.8892 - loss: -0.6465 - mean_absolute_error: 1.5375 - mean_squared_error: 11.9651 - pearson_correlation: 0.8142 - pearson_correlation_log: 0.6448 - zero_penalty_metric: 658.1073 - val_concordance_correlation_coefficient: 0.7296 - val_cosine_similarity: 0.8688 - val_loss: -0.5970 - val_mean_absolute_error: 1.5875 - val_mean_squared_error: 12.7115 - val_pearson_correlation: 0.7623 - val_pearson_correlation_log: 0.6340 - val_zero_penalty_metric: 624.1168 - learning_rate: 1.0000e-04\n", - "Epoch 7/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7376 - cosine_similarity: 0.8920 - loss: -0.6535 - mean_absolute_error: 1.5197 - mean_squared_error: 11.6781 - pearson_correlation: 0.8189 - pearson_correlation_log: 0.6478 - zero_penalty_metric: 657.9582 - val_concordance_correlation_coefficient: 0.7349 - val_cosine_similarity: 0.8703 - val_loss: -0.5997 - val_mean_absolute_error: 1.5752 - val_mean_squared_error: 12.5457 - val_pearson_correlation: 0.7670 - val_pearson_correlation_log: 0.6346 - val_zero_penalty_metric: 619.5275 - learning_rate: 1.0000e-04\n", - "Epoch 8/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7485 - cosine_similarity: 0.8957 - loss: -0.6634 - mean_absolute_error: 1.4901 - mean_squared_error: 11.1780 - pearson_correlation: 0.8258 - pearson_correlation_log: 0.6493 - zero_penalty_metric: 659.4165 - val_concordance_correlation_coefficient: 0.7352 - val_cosine_similarity: 0.8688 - val_loss: -0.5963 - val_mean_absolute_error: 1.5830 - val_mean_squared_error: 12.6326 - val_pearson_correlation: 0.7646 - val_pearson_correlation_log: 0.6347 - val_zero_penalty_metric: 619.9189 - learning_rate: 2.5000e-05\n", - "Epoch 9/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m141s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7517 - cosine_similarity: 0.8973 - loss: -0.6668 - mean_absolute_error: 1.4906 - mean_squared_error: 11.2031 - pearson_correlation: 0.8278 - pearson_correlation_log: 0.6514 - zero_penalty_metric: 655.5306 - val_concordance_correlation_coefficient: 0.7441 - val_cosine_similarity: 0.8733 - val_loss: -0.6068 - val_mean_absolute_error: 1.5726 - val_mean_squared_error: 12.2949 - val_pearson_correlation: 0.7707 - val_pearson_correlation_log: 0.6343 - val_zero_penalty_metric: 626.1809 - learning_rate: 2.5000e-05\n", - "Epoch 10/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7566 - cosine_similarity: 0.8981 - loss: -0.6696 - mean_absolute_error: 1.4803 - mean_squared_error: 10.9990 - pearson_correlation: 0.8307 - pearson_correlation_log: 0.6519 - zero_penalty_metric: 655.5994 - val_concordance_correlation_coefficient: 0.7357 - val_cosine_similarity: 0.8723 - val_loss: -0.6027 - val_mean_absolute_error: 1.5754 - val_mean_squared_error: 12.4870 - val_pearson_correlation: 0.7684 - val_pearson_correlation_log: 0.6336 - val_zero_penalty_metric: 622.8438 - learning_rate: 2.5000e-05\n", - "Epoch 11/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7564 - cosine_similarity: 0.8989 - loss: -0.6715 - mean_absolute_error: 1.4755 - mean_squared_error: 10.9572 - pearson_correlation: 0.8307 - pearson_correlation_log: 0.6523 - zero_penalty_metric: 655.2635 - val_concordance_correlation_coefficient: 0.7370 - val_cosine_similarity: 0.8720 - val_loss: -0.6019 - val_mean_absolute_error: 1.5776 - val_mean_squared_error: 12.5521 - val_pearson_correlation: 0.7668 - val_pearson_correlation_log: 0.6346 - val_zero_penalty_metric: 621.5692 - learning_rate: 2.5000e-05\n", - "Epoch 12/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7618 - cosine_similarity: 0.8997 - loss: -0.6739 - mean_absolute_error: 1.4706 - mean_squared_error: 10.8551 - pearson_correlation: 0.8335 - pearson_correlation_log: 0.6540 - zero_penalty_metric: 654.6228 - val_concordance_correlation_coefficient: 0.7318 - val_cosine_similarity: 0.8675 - val_loss: -0.5925 - val_mean_absolute_error: 1.5881 - val_mean_squared_error: 12.8321 - val_pearson_correlation: 0.7612 - val_pearson_correlation_log: 0.6333 - val_zero_penalty_metric: 618.7125 - learning_rate: 2.5000e-05\n", - "Epoch 13/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7621 - cosine_similarity: 0.9009 - loss: -0.6771 - mean_absolute_error: 1.4630 - mean_squared_error: 10.7569 - pearson_correlation: 0.8349 - pearson_correlation_log: 0.6542 - zero_penalty_metric: 655.2331 - val_concordance_correlation_coefficient: 0.7396 - val_cosine_similarity: 0.8701 - val_loss: -0.5997 - val_mean_absolute_error: 1.5853 - val_mean_squared_error: 12.6147 - val_pearson_correlation: 0.7645 - val_pearson_correlation_log: 0.6369 - val_zero_penalty_metric: 623.4124 - learning_rate: 6.2500e-06\n", - "Epoch 14/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7648 - cosine_similarity: 0.9006 - loss: -0.6772 - mean_absolute_error: 1.4604 - mean_squared_error: 10.6995 - pearson_correlation: 0.8349 - pearson_correlation_log: 0.6545 - zero_penalty_metric: 655.4159 - val_concordance_correlation_coefficient: 0.7325 - val_cosine_similarity: 0.8689 - val_loss: -0.5958 - val_mean_absolute_error: 1.5845 - val_mean_squared_error: 12.7411 - val_pearson_correlation: 0.7629 - val_pearson_correlation_log: 0.6342 - val_zero_penalty_metric: 619.4679 - learning_rate: 6.2500e-06\n", - "Epoch 15/60\n", - "\u001b[1m2292/2292\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m140s\u001b[0m 61ms/step - concordance_correlation_coefficient: 0.7643 - cosine_similarity: 0.9009 - loss: -0.6779 - mean_absolute_error: 1.4528 - mean_squared_error: 10.5761 - pearson_correlation: 0.8356 - pearson_correlation_log: 0.6542 - zero_penalty_metric: 657.4274 - val_concordance_correlation_coefficient: 0.7334 - val_cosine_similarity: 0.8708 - val_loss: -0.5994 - val_mean_absolute_error: 1.5778 - val_mean_squared_error: 12.6469 - val_pearson_correlation: 0.7657 - val_pearson_correlation_log: 0.6343 - val_zero_penalty_metric: 620.2269 - learning_rate: 6.2500e-06\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(Label(value='0.032 MB of 0.032 MB uploaded\\r'), FloatProgress(value=1.0, max=1.0)))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "\n", - "

Run history:


batch/batch_step▁▂▂▂▂▂▃▃▃▃▃▄▄▄▄▄▅▅▅▅▅▅▅▅▆▆▆▆▆▆▆▆▇▇▇▇▇▇▇█
batch/concordance_correlation_coefficient▁▂▂▃▃▄▄▄▅▅▅▆▆▆▆▆▆▆▆▆▆▆▇▇▇▇█▇▇▇▇▇▇▇▇▇▇▇▇▇
batch/cosine_similarity▁▁▂▄▅▄▄▅▅▅▆▆▆▆▇▇▆▆▆▇▇▇▇▇▇███████████████
batch/learning_rate███████████████████▂▂▂▂▂▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁
batch/loss██▇▆▆▆▆▅▅▄▄▄▄▃▃▄▃▃▃▃▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁▁▁▁
batch/mean_absolute_error█▆▇▆▆▆▅▅▅▅▅▅▅▅▄▄▄▄▄▄▄▃▃▃▃▂▂▂▂▂▂▂▂▂▂▁▁▁▁▁
batch/mean_squared_error█▇▇▅▅▅▅▅▅█▄▄▃▃▃▃▃▂▂▂▃▂▂▂▂▂▂▁▂▁▂▁▁▁▁▁▁▁▁▁
batch/pearson_correlation▁▁▃▃▃▄▄▄▅▅▅▅▅▅▅▆▆▇▇▇▇▇▇▇▇▇▇█████████████
batch/pearson_correlation_log▁▁▄▄▄▄▄▅▅▅▅▅▆▅▆▆▆▇▇▆▇▇▇▇▇▇▇▇▇█▇▇████████
batch/zero_penalty_metric█▆▅▄▄▄▄▄▄▃▃▄▃▃▃▃▃▃▃▃▃▃▁▃▃▃▃▃▃▃▃▃▃▃▃▃▃▃▃▃
epoch/concordance_correlation_coefficient▁▁▃▃▄▄▅▅▅▅▆▆▆▆▇▇▇▇▇▇██████████
epoch/cosine_similarity▁▁▃▃▄▄▄▄▅▅▅▅▆▆▇▇▇▇▇▇██████████
epoch/epoch▁▁▁▁▂▂▃▃▃▃▃▃▄▄▅▅▅▅▅▅▆▆▇▇▇▇▇▇██
epoch/learning_rate████████████▃▃▃▃▃▃▃▃▃▃▁▁▁▁▁▁▁▁
epoch/loss██▆▆▅▅▅▅▄▄▄▄▃▃▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁
epoch/mean_absolute_error██▆▆▅▅▅▅▄▄▄▄▃▃▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁
epoch/mean_squared_error██▆▆▅▅▅▅▄▄▃▃▃▃▂▂▂▂▂▂▁▁▁▁▁▁▁▁▁▁
epoch/pearson_correlation▁▁▂▂▄▄▄▄▅▅▅▅▆▆▇▇▇▇▇▇▇▇████████
epoch/pearson_correlation_log▁▁▃▃▄▄▄▄▅▅▆▆▆▆▇▇▇▇▇▇▇▇████████
epoch/val_concordance_correlation_coefficient▁▁▂▂▃▃▄▄▅▅▅▅▆▆▆▆██▆▆▇▇▅▅▇▇▆▆▆▆
epoch/val_cosine_similarity▄▄▅▅▅▅▅▅▅▅▃▃▄▄▃▃██▇▇▆▆▁▁▄▄▃▃▅▅
epoch/val_loss██▅▅▅▅▄▄▅▅▆▆▅▅▆▆▁▁▃▃▃▃██▄▄▆▆▅▅
epoch/val_mean_absolute_error██▁▁▂▂▂▂▅▅▇▇▂▂▅▅▁▁▂▂▃▃▇▇▆▆▆▆▃▃
epoch/val_mean_squared_error██▅▅▄▄▄▄▄▄▅▅▄▄▅▅▁▁▃▃▄▄▇▇▄▄▆▆▅▅
epoch/val_pearson_correlation▃▃██▇▇▅▅▄▄▂▂▅▅▃▃██▆▆▅▅▁▁▃▃▂▂▄▄
epoch/val_pearson_correlation_log▄▄▇▇▅▅▃▃▁▁▄▄▅▅▅▅▄▄▃▃▅▅▃▃██▄▄▄▄
epoch/val_zero_penalty_metric▁▁▅▅▅▅██▆▆▇▇▃▃▃▃██▆▆▅▅▃▃▆▆▃▃▄▄
epoch/zero_penalty_metric██▅▅▅▅▄▄▄▄▃▃▃▃▂▂▂▂▂▂▂▂▁▁▁▁▁▁▁▁

Run summary:


batch/batch_step34490
batch/concordance_correlation_coefficient0.7639
batch/cosine_similarity0.90102
batch/learning_rate1e-05
batch/loss-0.67766
batch/mean_absolute_error1.46008
batch/mean_squared_error10.70015
batch/pearson_correlation0.83574
batch/pearson_correlation_log0.65461
batch/zero_penalty_metric654.60077
epoch/concordance_correlation_coefficient0.76389
epoch/cosine_similarity0.90102
epoch/epoch14
epoch/learning_rate0.0
epoch/loss-0.67766
epoch/mean_absolute_error1.4601
epoch/mean_squared_error10.70053
epoch/pearson_correlation0.83573
epoch/pearson_correlation_log0.65462
epoch/val_concordance_correlation_coefficient0.73343
epoch/val_cosine_similarity0.8708
epoch/val_loss-0.59938
epoch/val_mean_absolute_error1.57776
epoch/val_mean_squared_error12.64691
epoch/val_pearson_correlation0.76575
epoch/val_pearson_correlation_log0.63434
epoch/val_zero_penalty_metric620.22693
epoch/zero_penalty_metric654.39679

" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - " View run finetuned_model at: https://wandb.ai/kemp/mouse_biccn/runs/24z6trqb
View project at: https://wandb.ai/kemp/mouse_biccn
Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "Find logs at: ./wandb/run-20241210_101708-24z6trqb/logs" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "trainer.fit(\n", - " epochs=60, \n", - " learning_rate_reduce_patience=3,\n", - " early_stopping_patience=6,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Evaluate the model\n", + "text/plain": [ + " chr start end split\n", + "region \n", + "chr1:3093998-3096112 chr1 3093998 3096112 train\n", + "chr1:3094663-3096777 chr1 3094663 3096777 train\n", + "chr1:3111367-3113481 chr1 3111367 3113481 train\n", + "chr1:3112727-3114841 chr1 3112727 3114841 train\n", + "chr1:3118939-3121053 chr1 3118939 3121053 train\n", + "... ... ... ... ...\n", + "chrX:169878506-169880620 chrX 169878506 169880620 train\n", + "chrX:169879374-169881488 chrX 169879374 169881488 train\n", + "chrX:169924670-169926784 chrX 169924670 169926784 train\n", + "chrX:169947743-169949857 chrX 169947743 169949857 train\n", + "chrX:169950171-169952285 chrX 169950171 169952285 train\n", "\n", - "After training, we can evaluate the model on the test set using the {meth}`~crested.tl.Crested.test` method. \n", - "If we're still in the same session, we can simply continue using the same object. \n", - "If not, we can load the model from disk using the{func}`~crested.tl.Crested.load_model` method.\n", - "This means that we have to create a new {class}`~crested.tl.Crested` object first. \n", - "However, this time, since the taskconfig and architecture are saved in the .keras file, we only have to provide our datamodule." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "adata = ad.read_h5ad(\"mouse_cortex_filtered.h5ad\")\n", + "[546993 rows x 4 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Choose the chromosomes for the validation and test sets\n", + "crested.pp.train_val_test_split(\n", + " adata, strategy=\"chr\", val_chroms=[\"chr8\", \"chr10\"], test_chroms=[\"chr9\", \"chr18\"]\n", + ")\n", + "\n", + "# Alternatively, We can split randomly on the regions\n", + "# crested.pp.train_val_test_split(\n", + "# adata, strategy=\"region\", val_size=0.1, test_size=0.1, random_state=42\n", + "# )\n", + "\n", + "print(adata.var[\"split\"].value_counts())\n", + "adata.var" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preprocessing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Region Width\n", + "\n", + "For this example we're interested in training on wider regions than our consensus regions file (500bp) to also include some sequence information from the tails of our peaks. \n", + "\n", + "We change it to 2114 bp regions since that is what the Chrombpnet architecture was originally trained on and that's what we'll be using. This is not fixed and can be adapted to what you prefer, as long as it is compatible with the model architecture. \n", + "\n", + "Wider regions will mean that you don't only include sequence information from the center of the peaks and could effectively increase your dataset size if the tails of the peak include meaningful information, but could also introduce noise if the tails are not informative. \n", + "Wider regions will also increase the computational cost of training the model. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "crested.pp.change_regions_width(\n", + " adata,\n", + " 2114,\n", + ") # change the adata width of the regions to 2114bp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Peak Normalization\n", + "\n", + "Additionally, we can normalize our peak values based on the variability of the top peak heights per cell type using the {func}`crested.pp.normalize_peaks` function. \n", + "\n", + "This function applies a normalization scalar to each cell type, obtained by comparing per cell type the distribution of peak heights for the maximally accessible regions which are not specific to any cell type." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:19:01.511397+0100 INFO Filtering on top k Gini scores...\n", + "2024-12-12T10:19:05.058074+0100 INFO Added normalization weights to adata.obsm['weights']...\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", + "
chrstartendsplit
region
chr5:76656624-76658738chr57665662476658738train
chr13:30900787-30902901chr133090078730902901train
chr9:65586049-65588163chr96558604965588163test
chr9:65586556-65588670chr96558655665588670test
chr9:65587095-65589209chr96558709565589209test
...............
chr9:65459289-65461403chr96545928965461403test
chr9:65459852-65461966chr96545985265461966test
chr5:76587680-76589794chr57658768076589794train
chr9:65523082-65525196chr96552308265525196test
chr19:18337654-18339768chr191833765418339768train
\n", + "

48308 rows × 4 columns

\n", + "
" ], - "source": [ - "# evaluate the model on the test set\n", - "evaluator.test()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Predict\n", + "text/plain": [ + " chr start end split\n", + "region \n", + "chr5:76656624-76658738 chr5 76656624 76658738 train\n", + "chr13:30900787-30902901 chr13 30900787 30902901 train\n", + "chr9:65586049-65588163 chr9 65586049 65588163 test\n", + "chr9:65586556-65588670 chr9 65586556 65588670 test\n", + "chr9:65587095-65589209 chr9 65587095 65589209 test\n", + "... ... ... ... ...\n", + "chr9:65459289-65461403 chr9 65459289 65461403 test\n", + "chr9:65459852-65461966 chr9 65459852 65461966 test\n", + "chr5:76587680-76589794 chr5 76587680 76589794 train\n", + "chr9:65523082-65525196 chr9 65523082 65525196 test\n", + "chr19:18337654-18339768 chr19 18337654 18339768 train\n", "\n", - "After training, we can also use the {meth}`~crested.tl.Crested.predict` method to predict the labels for new data and add them as a layer to the `AnnData` object. \n", - "A common use case is to compare the predicted labels to the true labels for multiple trained models to see how well they compare. \n", - "\n", - "We can initiate a new Crested object (if you have different data) or use the existing one. \n", - "Here we continue with the existing one since we'll use the same data as we trained on." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m357/358\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 54ms/step" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", - "I0000 00:00:1733935541.676429 3276194 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_371', 64 bytes spill stores, 64 bytes spill loads\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m358/358\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 65ms/step\n", - "2024-12-11T17:45:45.007050+0100 INFO Adding predictions to anndata.layers[biccn_model].\n" - ] - } - ], - "source": [ - "# add predictions for model checkpoint to the adata\n", - "evaluator.predict(\n", - " adata, model_name=\"biccn_model\"\n", - ") # adds the predictions to the adata.layers[\"biccn_model\"]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Layers with keys: biccn_model" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } + "[48308 rows x 4 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crested.pp.normalize_peaks(\n", + " adata, top_k_percent=0.03\n", + ") # The top_k_percent parameters can be tuned based on potential bias towards cell types. If some weights are overcompensating too much, consider increasing the top_k_percent. Default is 0.01" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can visualize the normalization factor for each cell type using the {func}`crested.pl.bar.normalization_weights` function to inspect which cell type peaks were up/down weighted." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "crested.pl.bar.normalization_weights(\n", + " adata, title=\"Normalization Weights per Cell Type\", x_label_rotation=90\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is no single best way to preprocess your data, so we recommend experimenting with different preprocessing steps to see what works best for your data. \n", + "Likewise there is no single best training approach, so we recommend experimenting with different training strategies." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Save the final preprocessing results\n", + "adata.write_h5ad(\"mouse_cortex.h5ad\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Model Training\n", + "\n", + "The entire CREsted workflow is built around the {func}`crested.tl.Crested` class.\n", + "Everything that requires a model (training, evaluation, prediction) is done through this class. \n", + "This class has a couple of required arguments:\n", + "- `data`: the {class}`crested.tl.data.AnnDataModule` object containing all the data (anndata, genome) and dataloaders that specify how to load the data.\n", + "- `model`: the {class}`keras.Model` object containing the model architecture.\n", + "- `config`: the {class}`crested.tl.TaskConfig` object containing the optimizer, loss function, and metrics to use in training. \n", + "\n", + "Generally you wouldn't run these steps in a notebook, but rather in a script or a python file so you could run it on a cluster or in the background.\n", + "\n", + "### Data\n", + "\n", + "We'll start by initializing the {class}`crested.tl.data.AnnDataModule` object with our data. \n", + "This will tell our model how to load the data and what data to load during fitting/evaluation.\n", + "The main arguments to supply are the `adata` object, the `genome` file path, and the `batch_size`. \n", + "Other optional arguments are related to the training data loading (e.g. shuffling, whether to load the sequences into memory, ...).\n", + "\n", + "The genome file you need to provide yourself as this is not included in the crested package." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# read in your preprocessed data\n", + "adata = ad.read_h5ad(\"mouse_cortex.h5ad\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "datamodule = crested.tl.data.AnnDataModule(\n", + " adata,\n", + " batch_size=256, # lower this if you encounter OOM errors\n", + " max_stochastic_shift=3, # optional augmentation\n", + " always_reverse_complement=True, # default True. Will double the effective size of the training dataset.\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Model definition \n", + "\n", + "Next, we'll define the model architecture. This is a standard Keras model definition, so you can provide your own model definition if you like. \n", + "Alternatively, there are a couple of ready-to-use models available in the `crested.tl.zoo` module. \n", + "Each of them require the width of the input sequences and the number of output classes (your `Anndata.obs`) as arguments." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-12 10:19:07.644334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1928] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 78790 MB memory: -> device: 0, name: NVIDIA H100 80GB HBM3, pci bus id: 0000:e4:00.0, compute capability: 9.0\n" + ] + } + ], + "source": [ + "# Load chrombpnet architecture for a dataset with 2114bp regions and 19 cell types\n", + "model_architecture = crested.tl.zoo.chrombpnet(\n", + " seq_len=2114, num_classes=len(list(adata.obs_names))\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### TaskConfig\n", + "\n", + "The TaskConfig object specifies the optimizer, loss function, and metrics to use in training (we call this our 'task'). \n", + "Some default configurations are available for some common tasks such as 'topic_classification' and 'peak_regression',\n", + "which you can load using the {func}`crested.tl.default_configs` function. " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TaskConfig(optimizer=, loss=, metrics=[, , , , , , ])\n" + ] + } + ], + "source": [ + "# Load the default configuration for training a peak regression model\n", + "config = crested.tl.default_configs(\n", + " \"peak_regression\"\n", + ") # or \"topic_classification\" for topic classification\n", + "print(config)\n", + "\n", + "# If you want to change some small parameters to an existing config, you can do it like this\n", + "# For example, the default learning rate is 0.001, but you can change it to 0.0001\n", + "# config.optimizer.learning_rate = 0.0001" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, you can create your own TaskConfig object and specify the optimizer, loss function, and metrics yourself if you want to do something completely custom." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TaskConfig(optimizer=, loss=, metrics=[, , , , , , ])\n" + ] + } + ], + "source": [ + "# Create your own configuration\n", + "# I recommend trying this for peak regression with a weighted cosine mse log loss function\n", + "optimizer = keras.optimizers.Adam(learning_rate=1e-3)\n", + "loss = crested.tl.losses.CosineMSELogLoss(max_weight=100, multiplier=1)\n", + "metrics = [\n", + " keras.metrics.MeanAbsoluteError(),\n", + " keras.metrics.MeanSquaredError(),\n", + " keras.metrics.CosineSimilarity(axis=1),\n", + " crested.tl.metrics.PearsonCorrelation(),\n", + " crested.tl.metrics.ConcordanceCorrelationCoefficient(),\n", + " crested.tl.metrics.PearsonCorrelationLog(),\n", + " crested.tl.metrics.ZeroPenaltyMetric(),\n", + "]\n", + "\n", + "alternative_config = crested.tl.TaskConfig(optimizer, loss, metrics)\n", + "print(alternative_config)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Training\n", + "\n", + "Now we're ready to train our model.\n", + "We'll create a {class}`~crested.tl.Crested` object with the data, model, and config objects we just created. \n", + "Then, we can call the {meth}`~crested.tl.Crested.fit` method to train the model. \n", + "Read the documentation for more information on all available arguments to customize your training (e.g. augmentations, early stopping, checkpointing, ...). \n", + "\n", + "By default: \n", + "1. The model will continue training until the validation loss stops decreasing for 10 epochs with a maximum of 100 epochs. \n", + "2. Every best model is saved based on the validation loss.\n", + "3. The learning rate reduces by a factor of 0.25 if the validation loss stops decreasing for 5 epochs.\n", + "\n", + "```{note}\n", + "If you specify the same project_name and run_name as a previous run, then CREsted will assume that you want to continue training and will load the last available model checkpoint from the {project_name}/{run_name} folder and continue from that epoch.\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:19:08.451626+0100 WARNING Output directory mouse_biccn/basemodel/checkpoints already exists. Will continue training from epoch 18.\n" + ] + } + ], + "source": [ + "# setup the trainer\n", + "trainer = crested.tl.Crested(\n", + " data=datamodule,\n", + " model=model_architecture,\n", + " config=alternative_config,\n", + " project_name=\"mouse_biccn\", # change to your liking\n", + " run_name=\"basemodel\", # change to your liking\n", + " logger=\"wandb\", # or 'wandb', 'tensorboard'\n", + " seed=7,# For reproducibility\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "Finishing last run (ID:t1jx172q) before initializing another..." ], - "source": [ - "adata.layers" + "text/plain": [ + "" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you don't want to predict on the entire dataset, you can also predict on a given sequence or region using the {meth}`~crested.tl.Crested.predict_sequence` or {meth}`~crested.tl.Crested.predict_regions` methods." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Many of the plotting functions in the `crested.pl` module can be used to visualize these model predictions. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example predictions on test set regions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It is always interesting to see how the model performs on unseen test set regions. It is recommended to always look at a few examples to spot potential biases, or trends that you do not expect." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "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", - "
chrstartendsplit
region
chr18:3269690-3271804chr1832696903271804test
chr18:3350307-3352421chr1833503073352421test
chr18:3451398-3453512chr1834513983453512test
chr18:3463977-3466091chr1834639773466091test
chr18:3488308-3490422chr1834883083490422test
...............
chr9:124125533-124127647chr9124125533124127647test
chr9:124140961-124143075chr9124140961124143075test
chr9:124142793-124144907chr9124142793124144907test
chr9:124477280-124479394chr9124477280124479394test
chr9:124479548-124481662chr9124479548124481662test
\n", - "

8198 rows × 4 columns

\n", - "
" - ], - "text/plain": [ - " chr start end split\n", - "region \n", - "chr18:3269690-3271804 chr18 3269690 3271804 test\n", - "chr18:3350307-3352421 chr18 3350307 3352421 test\n", - "chr18:3451398-3453512 chr18 3451398 3453512 test\n", - "chr18:3463977-3466091 chr18 3463977 3466091 test\n", - "chr18:3488308-3490422 chr18 3488308 3490422 test\n", - "... ... ... ... ...\n", - "chr9:124125533-124127647 chr9 124125533 124127647 test\n", - "chr9:124140961-124143075 chr9 124140961 124143075 test\n", - "chr9:124142793-124144907 chr9 124142793 124144907 test\n", - "chr9:124477280-124479394 chr9 124477280 124479394 test\n", - "chr9:124479548-124481662 chr9 124479548 124481662 test\n", - "\n", - "[8198 rows x 4 columns]" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Define a dataframe with test set regions\n", - "test_df = adata.var[adata.var[\"split\"] == \"test\"]\n", - "test_df" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "chr18:3892771-3894885\n", - "2024-12-11T17:46:06.331163+0100 INFO Plotting bar plots for region: chr18:3892771-3894885, models: ['biccn_model']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plot predictions vs ground truth for a random region in the test set defined by index\n", - "%matplotlib inline\n", - "idx = 21\n", - "region = test_df.index[idx]\n", - "print(region)\n", - "crested.pl.bar.region_predictions(adata, region, title=\"Predictions vs Ground Truth\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "##### Example predictions on manually defined regions" + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(Label(value='0.016 MB of 0.016 MB uploaded\\r'), FloatProgress(value=1.0, max=1.0)))" ] }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 858ms/step\n" - ] - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run basemodel at: https://wandb.ai/kemp/mouse_biccn/runs/t1jx172q
View project at: https://wandb.ai/kemp/mouse_biccn
Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)" ], - "source": [ - "chrom = \"chr3\" #'chr18'\n", - "start = 72535878 - 807 # 61107770\n", - "end = 72536378 + 807 # 61109884\n", - "\n", - "sequence = genome.fetch(chrom, start, end).upper()\n", - "\n", - "prediction = evaluator.predict_sequence(sequence)" + "text/plain": [ + "" ] }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Find logs at: ./wandb/run-20241209_201427-t1jx172q/logs" ], - "source": [ - "crested.pl.bar.prediction(prediction, classes=list(adata.obs_names))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Prediction on gene locus" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also score a gene locus by using a sliding window over a predefined genomic range. We can compare those predictions then to the bigwig we did the predictions for, to see if the profile matches the CREsted predictions. " + "text/plain": [ + "" ] }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "chrom = \"chr4\"\n", - "start = 91209533\n", - "end = 91374781\n", - "\n", - "scores, coordinates, min_loc, max_loc, tss_position = evaluator.score_gene_locus(\n", - " chr_name=chrom,\n", - " gene_start=start,\n", - " gene_end=end,\n", - " class_name=\"Sst\",\n", - " strand=\"-\",\n", - " upstream=50000,\n", - " downstream=10000,\n", - " step_size=100,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:46:39.575356+0100 WARNING extract_bigwig_values_per_bp() is deprecated. Please use crested.utils.read_bigwig_region(bw_file, (chr, start, end)) instead.\n" - ] - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Successfully finished last run (ID:t1jx172q). Initializing new run:
" ], - "source": [ - "bigwig = \"../../../../mouse/biccn/bigwigs/bws/Sst.bw\"\n", - "bw_values, midpoints = crested.utils.extract_bigwig_values_per_bp(bigwig, coordinates)" + "text/plain": [ + "" ] }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Tracking run with wandb version 0.18.3" ], - "source": [ - "%matplotlib inline\n", - "crested.pl.hist.locus_scoring(\n", - " scores,\n", - " (min_loc, max_loc),\n", - " gene_start=start,\n", - " gene_end=end,\n", - " title=\"CREsted prediction around Elavl2 gene locus for Sst\",\n", - " bigwig_values=bw_values,\n", - " bigwig_midpoints=midpoints,\n", - ")" + "text/plain": [ + "" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Model performance on the entire test set" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After looking at specific instances, now we can look at the model performance on a larger scale." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we can check per cell type/class the correlation of predictions and peak heights over the peaks in the test set." - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Layers with keys: biccn_model" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Run data is saved locally in /data/projects/c04/cbd-saerts/nkemp/software/CREsted/docs/tutorials/wandb/run-20241209_201453-jciwxmaz" ], - "source": [ - "adata.layers" + "text/plain": [ + "" ] }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:46:47.502652+0100 INFO Plotting density scatter for class: L2_3IT, models: ['biccn_model'], split: test\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "Syncing run basemodel to Weights & Biases (docs)
" ], - "source": [ - "import matplotlib\n", - "\n", - "# Set the font type to ensure text is saved as whole words\n", - "matplotlib.rcParams[\"pdf.fonttype\"] = 42 # Use TrueType fonts instead of Type 3 fonts\n", - "matplotlib.rcParams[\"ps.fonttype\"] = 42 # For PostScript as well, if needed\n", - "\n", - "classn = \"L2_3IT\"\n", - "crested.pl.scatter.class_density(\n", - " adata,\n", - " class_name=classn,\n", - " model_names=[\"biccn_model\"],\n", - " split=\"test\",\n", - " log_transform=True,\n", - " width=5,\n", - " height=5,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To now check the correlations between all classes, we can plot a heatmap to assess the model performance." + "text/plain": [ + "" ] }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:46:49.339965+0100 INFO Plotting heatmap correlations for split: test, models: ['biccn_model']\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View project at https://wandb.ai/kemp/mouse_biccn" ], - "source": [ - "crested.pl.heatmap.correlations_predictions(\n", - " adata,\n", - " split=\"test\",\n", - " title=\"Correlations between Groundtruths and Predictions\",\n", - " x_label_rotation=90,\n", - " width=5,\n", - " height=5,\n", - " log_transform=True,\n", - " vmax=1,\n", - " vmin=-0.15,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It is also recommended to compare this heatmap to the self correlation plot of the peaks themselves. If peaks between cell types are correlated, then it is expected that predictions from non-matching classes for correlationg cell types will also be high." + "text/plain": [ + "" ] }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + " View run at https://wandb.ai/kemp/mouse_biccn/runs/jciwxmaz" ], - "source": [ - "crested.pl.heatmap.correlations_self(\n", - " adata,\n", - " title=\"Self Correlation Heatmap\",\n", - " x_label_rotation=90,\n", - " width=5,\n", - " height=5,\n", - " vmax=1,\n", - " vmin=-0.15,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sequence contribution scores\n", - "\n", - "We can calculate the contribution scores for a **sequence** of interest using the {meth}`~crested.tl.Crested.calculate_contribution_scores_sequence` method. \n", - "You always need to ensure that the sequence or region you provide is the same length as the model input (2114bp in our case). " + "text/plain": [ + "" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Contribution scores on manually defined sequences" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:46:53.373100+0100 INFO Calculating contribution scores for 2 class(es) and 1 region(s).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Region: 100%|██████████| 1/1 [00:04<00:00, 4.31s/it]\n" - ] - } + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-09T20:14:57.994147+0100 WARNING Model does not have an optimizer. Please compile the model before training.\n" + ] + }, + { + "data": { + "text/html": [ + "
Model: \"functional\"\n",
+       "
\n" ], - "source": [ - "# random sequence of length 2114bp as an example\n", - "sequence = \"A\" * 2114\n", - "\n", - "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_sequence(\n", - " sequence, class_names=[\"Astro\", \"Endo\"]\n", - ") # focus on two cell types of interest" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Contribution scores on manually defined genomic regions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, you can calculate contribution scores for **regions** of interest using the {meth}`~crested.tl.Crested.calculate_contribution_scores_regions` method. \n", - "These regions don't have to be in your original dataset, as long as they exist in the genome file that you provided to the `AnnDataModule` and they are the same length as the model input. " + "text/plain": [ + "\u001b[1mModel: \"functional\"\u001b[0m\n" ] }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:46:57.684775+0100 INFO Calculating contribution scores for 3 class(es) and 1 region(s).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Region: 100%|██████████| 1/1 [00:03<00:00, 3.78s/it]\n" - ] - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
+       "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
+       "│ sequence            │ (None, 2114, 4)   │          0 │ -                 │\n",
+       "│ (InputLayer)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ conv1d (Conv1D)     │ (None, 2114, 512) │     10,240 │ sequence[0][0]    │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ batch_normalization │ (None, 2114, 512) │      2,048 │ conv1d[0][0]      │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ activation          │ (None, 2114, 512) │          0 │ batch_normalizat… │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ dropout (Dropout)   │ (None, 2114, 512) │          0 │ activation[0][0]  │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_1conv         │ (None, 2110, 512) │    786,432 │ dropout[0][0]     │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_1bn           │ (None, 2110, 512) │      2,048 │ bpnet_1conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_1activation   │ (None, 2110, 512) │          0 │ bpnet_1bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_1crop         │ (None, 2110, 512) │          0 │ dropout[0][0]     │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add (Add)           │ (None, 2110, 512) │          0 │ bpnet_1activatio… │\n",
+       "│                     │                   │            │ bpnet_1crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_1dropout      │ (None, 2110, 512) │          0 │ add[0][0]         │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_2conv         │ (None, 2102, 512) │    786,432 │ bpnet_1dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_2bn           │ (None, 2102, 512) │      2,048 │ bpnet_2conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_2activation   │ (None, 2102, 512) │          0 │ bpnet_2bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_2crop         │ (None, 2102, 512) │          0 │ bpnet_1dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_1 (Add)         │ (None, 2102, 512) │          0 │ bpnet_2activatio… │\n",
+       "│                     │                   │            │ bpnet_2crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_2dropout      │ (None, 2102, 512) │          0 │ add_1[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_3conv         │ (None, 2086, 512) │    786,432 │ bpnet_2dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_3bn           │ (None, 2086, 512) │      2,048 │ bpnet_3conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_3activation   │ (None, 2086, 512) │          0 │ bpnet_3bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_3crop         │ (None, 2086, 512) │          0 │ bpnet_2dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_2 (Add)         │ (None, 2086, 512) │          0 │ bpnet_3activatio… │\n",
+       "│                     │                   │            │ bpnet_3crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_3dropout      │ (None, 2086, 512) │          0 │ add_2[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_4conv         │ (None, 2054, 512) │    786,432 │ bpnet_3dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_4bn           │ (None, 2054, 512) │      2,048 │ bpnet_4conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_4activation   │ (None, 2054, 512) │          0 │ bpnet_4bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_4crop         │ (None, 2054, 512) │          0 │ bpnet_3dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_3 (Add)         │ (None, 2054, 512) │          0 │ bpnet_4activatio… │\n",
+       "│                     │                   │            │ bpnet_4crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_4dropout      │ (None, 2054, 512) │          0 │ add_3[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_5conv         │ (None, 1990, 512) │    786,432 │ bpnet_4dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_5bn           │ (None, 1990, 512) │      2,048 │ bpnet_5conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_5activation   │ (None, 1990, 512) │          0 │ bpnet_5bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_5crop         │ (None, 1990, 512) │          0 │ bpnet_4dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_4 (Add)         │ (None, 1990, 512) │          0 │ bpnet_5activatio… │\n",
+       "│                     │                   │            │ bpnet_5crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_5dropout      │ (None, 1990, 512) │          0 │ add_4[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_6conv         │ (None, 1862, 512) │    786,432 │ bpnet_5dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_6bn           │ (None, 1862, 512) │      2,048 │ bpnet_6conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_6activation   │ (None, 1862, 512) │          0 │ bpnet_6bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_6crop         │ (None, 1862, 512) │          0 │ bpnet_5dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_5 (Add)         │ (None, 1862, 512) │          0 │ bpnet_6activatio… │\n",
+       "│                     │                   │            │ bpnet_6crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_6dropout      │ (None, 1862, 512) │          0 │ add_5[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_7conv         │ (None, 1606, 512) │    786,432 │ bpnet_6dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_7bn           │ (None, 1606, 512) │      2,048 │ bpnet_7conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_7activation   │ (None, 1606, 512) │          0 │ bpnet_7bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_7crop         │ (None, 1606, 512) │          0 │ bpnet_6dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_6 (Add)         │ (None, 1606, 512) │          0 │ bpnet_7activatio… │\n",
+       "│                     │                   │            │ bpnet_7crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_7dropout      │ (None, 1606, 512) │          0 │ add_6[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_8conv         │ (None, 1094, 512) │    786,432 │ bpnet_7dropout[0… │\n",
+       "│ (Conv1D)            │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_8bn           │ (None, 1094, 512) │      2,048 │ bpnet_8conv[0][0] │\n",
+       "│ (BatchNormalizatio… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_8activation   │ (None, 1094, 512) │          0 │ bpnet_8bn[0][0]   │\n",
+       "│ (Activation)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_8crop         │ (None, 1094, 512) │          0 │ bpnet_7dropout[0… │\n",
+       "│ (Cropping1D)        │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ add_7 (Add)         │ (None, 1094, 512) │          0 │ bpnet_8activatio… │\n",
+       "│                     │                   │            │ bpnet_8crop[0][0] │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ bpnet_8dropout      │ (None, 1094, 512) │          0 │ add_7[0][0]       │\n",
+       "│ (Dropout)           │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ global_average_poo… │ (None, 512)       │          0 │ bpnet_8dropout[0… │\n",
+       "│ (GlobalAveragePool… │                   │            │                   │\n",
+       "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
+       "│ dense_out (Dense)   │ (None, 19)        │      9,747 │ global_average_p… │\n",
+       "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
+       "
\n" ], - "source": [ - "# focus on two cell types of interest\n", - "regions_of_interest = [\n", - " \"chr18:61107770-61109884\"\n", - "] # FIRE enhancer region, should only have motifs in Micro_PVM\n", - "classes_of_interest = [\"Astro\", \"Micro_PVM\", \"L5ET\"]\n", - "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_regions(\n", - " region_idx=regions_of_interest, class_names=classes_of_interest\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Contribution scores for regions can be plotted using the {func}`crested.pl.patterns.contribution_scores` function. \n", - "This will generate a plot per class per region." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n", + "│ sequence │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m4\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", + "│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ conv1d (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m10,240\u001b[0m │ sequence[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ batch_normalization │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ conv1d[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ batch_normalizat… │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2114\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ activation[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_1conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_1bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_1conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_1activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_1crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dropout[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1activatio… │\n", + "│ │ │ │ bpnet_1crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_1dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2110\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_2conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_1dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_2bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_2conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_2activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_2crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_1dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_1 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2activatio… │\n", + "│ │ │ │ bpnet_2crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_2dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2102\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_1[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_3conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_2dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_3bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_3conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_3activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_3crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_2dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_2 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3activatio… │\n", + "│ │ │ │ bpnet_3crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_3dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2086\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_2[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_4conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_3dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_4bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_4conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_4activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_4crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_3dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_3 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4activatio… │\n", + "│ │ │ │ bpnet_4crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_4dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2054\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_3[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_5conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_4dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_5bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_5conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_5activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_5crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_4dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_4 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5activatio… │\n", + "│ │ │ │ bpnet_5crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_5dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1990\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_4[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_6conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_5dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_6bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_6conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_6activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_6crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_5dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_5 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6activatio… │\n", + "│ │ │ │ bpnet_6crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_6dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1862\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_5[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_7conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_6dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_7bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_7conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_7activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_7crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_6dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_6 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7activatio… │\n", + "│ │ │ │ bpnet_7crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_7dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1606\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_8conv │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m786,432\u001b[0m │ bpnet_7dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mConv1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_8bn │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m2,048\u001b[0m │ bpnet_8conv[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mBatchNormalizatio…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_8activation │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8bn[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mActivation\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_8crop │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_7dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mCropping1D\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ add_7 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8activatio… │\n", + "│ │ │ │ bpnet_8crop[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ bpnet_8dropout │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1094\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ add_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", + "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ bpnet_8dropout[\u001b[38;5;34m0\u001b[0m… │\n", + "│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n", + "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", + "│ dense_out (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m19\u001b[0m) │ \u001b[38;5;34m9,747\u001b[0m │ global_average_p… │\n", + "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
 Total params: 6,329,875 (24.15 MB)\n",
+       "
\n" ], - "source": [ - "%matplotlib inline\n", - "crested.pl.patterns.contribution_scores(\n", - " scores,\n", - " one_hot_encoded_sequences,\n", - " sequence_labels=regions_of_interest,\n", - " class_labels=classes_of_interest,\n", - " zoom_n_bases=500,\n", - " title=\"FIRE Enhancer Region\",\n", - ") # zoom in on the center 500bp" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Contribution scores on random test set regions" + "text/plain": [ + "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m6,329,875\u001b[0m (24.15 MB)\n" ] }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:47:08.761751+0100 INFO Calculating contribution scores for 2 class(es) and 1 region(s).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Region: 100%|██████████| 1/1 [00:02<00:00, 2.53s/it]\n" - ] - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
 Trainable params: 6,320,659 (24.11 MB)\n",
+       "
\n" ], - "source": [ - "# plot predictions vs ground truth for a random region in the test set defined by index\n", - "idx = 21\n", - "region = test_df.index[idx]\n", - "classes_of_interest = [\"L2_3IT\", \"Pvalb\"]\n", - "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_regions(\n", - " region_idx=region, class_names=classes_of_interest\n", - ")" + "text/plain": [ + "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m6,320,659\u001b[0m (24.11 MB)\n" ] }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
 Non-trainable params: 9,216 (36.00 KB)\n",
+       "
\n" ], - "source": [ - "%matplotlib inline\n", - "crested.pl.patterns.contribution_scores(\n", - " scores,\n", - " one_hot_encoded_sequences,\n", - " sequence_labels=[region],\n", - " class_labels=classes_of_interest,\n", - " zoom_n_bases=500,\n", - " title=\"Test set region\",\n", - ") # zoom in on the center 500bp" + "text/plain": [ + "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m9,216\u001b[0m (36.00 KB)\n" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Enhancer design [more updates soon]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load data and model" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "adata = ad.read_h5ad(\"mouse_cortex_filtered.h5ad\")\n", + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "None\n", + "2024-12-09T20:14:58.159088+0100 INFO Loading sequences into memory...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 440993/440993 [00:06<00:00, 70034.00it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-09T20:15:05.095428+0100 INFO Loading sequences into memory...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 56064/56064 [00:00<00:00, 95089.49it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/60\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1733771708.634832 2947427 service.cc:145] XLA service 0x7fbd08003320 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", + "I0000 00:00:1733771708.634883 2947427 service.cc:153] StreamExecutor device (0): NVIDIA H100 80GB HBM3, Compute Capability 9.0\n", + "2024-12-09 20:15:08.767218: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n", + "2024-12-09 20:15:09.187427: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:465] Loaded cuDNN version 8907\n", + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1733771713.681530 2947615 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 8 bytes spill stores, 8 bytes spill loads\n", + "\n", + "I0000 00:00:1733771714.166440 2947611 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 8 bytes spill stores, 8 bytes spill loads\n", + "\n", + "I0000 00:00:1733771738.637313 2947427 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m3445/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 223ms/step - concordance_correlation_coefficient: 0.5750 - cosine_similarity: 0.8166 - loss: -0.3449 - mean_absolute_error: 3.2040 - mean_squared_error: 45.8918 - pearson_correlation: 0.6825 - pearson_correlation_log: 0.5407 - zero_penalty_metric: 1136.6290" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "I0000 00:00:1733772512.438943 2948508 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_5605', 64 bytes spill stores, 64 bytes spill loads\n", + "\n", + "I0000 00:00:1733772513.222603 2948506 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_6666', 24 bytes spill stores, 24 bytes spill loads\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m3446/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m833s\u001b[0m 232ms/step - concordance_correlation_coefficient: 0.5750 - cosine_similarity: 0.8166 - loss: -0.3449 - mean_absolute_error: 3.2039 - mean_squared_error: 45.8899 - pearson_correlation: 0.6825 - pearson_correlation_log: 0.5407 - zero_penalty_metric: 1136.6272 - val_concordance_correlation_coefficient: 0.4512 - val_cosine_similarity: 0.6731 - val_loss: 0.5619 - val_mean_absolute_error: 9.3106 - val_mean_squared_error: 198.5345 - val_pearson_correlation: 0.5837 - val_pearson_correlation_log: 0.4806 - val_zero_penalty_metric: 908.3172 - learning_rate: 0.0010\n", + "Epoch 2/60\n", + "\u001b[1m3446/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m783s\u001b[0m 227ms/step - concordance_correlation_coefficient: 0.6789 - cosine_similarity: 0.8460 - loss: -0.4591 - mean_absolute_error: 2.8753 - mean_squared_error: 36.1717 - pearson_correlation: 0.7676 - pearson_correlation_log: 0.6078 - zero_penalty_metric: 1115.6266 - val_concordance_correlation_coefficient: 0.6851 - val_cosine_similarity: 0.8106 - val_loss: -0.3190 - val_mean_absolute_error: 3.2301 - val_mean_squared_error: 40.4674 - val_pearson_correlation: 0.7418 - val_pearson_correlation_log: 0.5651 - val_zero_penalty_metric: 1070.3921 - learning_rate: 0.0010\n", + "Epoch 3/60\n", + "\u001b[1m3446/3446\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m783s\u001b[0m 227ms/step - concordance_correlation_coefficient: 0.7293 - cosine_similarity: 0.8592 - loss: -0.4970 - mean_absolute_error: 2.7146 - mean_squared_error: 31.4138 - pearson_correlation: 0.8026 - pearson_correlation_log: 0.6242 - zero_penalty_metric: 1111.0103 - val_concordance_correlation_coefficient: 0.7375 - val_cosine_similarity: 0.8421 - val_loss: -0.3265 - val_mean_absolute_error: 3.3975 - val_mean_squared_error: 35.2583 - val_pearson_correlation: 0.7845 - val_pearson_correlation_log: 0.5985 - val_zero_penalty_metric: 1198.2017 - learning_rate: 0.0010\n", + "Epoch 4/60\n", + "\u001b[1m2191/3446\u001b[0m \u001b[32m━━━━━━━━━━━━\u001b[0m\u001b[37m━━━━━━━━\u001b[0m \u001b[1m4:40\u001b[0m 223ms/step - concordance_correlation_coefficient: 0.7562 - cosine_similarity: 0.8663 - loss: -0.5173 - mean_absolute_error: 2.6118 - mean_squared_error: 28.6017 - pearson_correlation: 0.8187 - pearson_correlation_log: 0.6330 - zero_penalty_metric: 1106.6896" + ] + } + ], + "source": [ + "# train the model\n", + "trainer.fit(\n", + " epochs=60,\n", + " learning_rate_reduce_patience=3,\n", + " early_stopping_patience=6,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Finetuning on cell type-specific regions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Subsetting the consensuspeak set" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For peak regression models, we recommend to continue training the model trained on all consensuspeaks on a subset of cell type-specific regions.\n", + "Since we are interested in understanding the enhancer code uniquely identifying the cell types in the dataset, finetuning on specific regions will allow us to approach that.\n", + "We define specific regions as regions with a high Gini index, indicating that their peak distribution over all cell types will be skewed and specific for one or more cell types." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Read the documentation of the {func}`crested.pp.filter_regions_on_specificity` function for more information on how the filtering is done. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:19:15.431415+0100 INFO After specificity filtering, kept 91475 out of 546993 regions.\n" + ] + }, + { + "data": { + "text/plain": [ + "AnnData object with n_obs × n_vars = 19 × 91475\n", + " obs: 'file_path'\n", + " var: 'chr', 'start', 'end', 'split'\n", + " obsm: 'weights'" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "crested.pp.filter_regions_on_specificity(\n", + " adata, gini_std_threshold=1.0\n", + ") # All regions with a Gini index 1 std above the mean across all regions will be kept\n", + "adata" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "adata.write_h5ad(\"mouse_cortex_filtered.h5ad\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Loading the pretrained model on all consensuspeaks and finetuning with lower learning rate" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "datamodule = crested.tl.data.AnnDataModule(\n", + " adata,\n", + " batch_size=64, # Recommended to go for a smaller batch size than in the basemodel\n", + " max_stochastic_shift=3,\n", + " always_reverse_complement=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# First load the pretrained model on all peaks\n", + "model_architecture = keras.models.load_model(\n", + " \"mouse_biccn/basemodel/checkpoints/17.keras\", compile=False # Choose the basemodel with best validation loss/performance metrics\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TaskConfig(optimizer=, loss=, metrics=[, , , , , , ])\n" + ] + } + ], + "source": [ + "# Use the same config you used for the pretrained model. EXCEPT THE LEARNING RATE, make sure that is lower than it was on the epoch you select the model from.\n", + "optimizer = keras.optimizers.Adam(learning_rate=1e-4) # Lower LR!\n", + "loss = crested.tl.losses.CosineMSELogLoss(max_weight=100, multiplier=1)\n", + "metrics = [\n", + " keras.metrics.MeanAbsoluteError(),\n", + " keras.metrics.MeanSquaredError(),\n", + " keras.metrics.CosineSimilarity(axis=1),\n", + " crested.tl.metrics.PearsonCorrelation(),\n", + " crested.tl.metrics.ConcordanceCorrelationCoefficient(),\n", + " crested.tl.metrics.PearsonCorrelationLog(),\n", + " crested.tl.metrics.ZeroPenaltyMetric(),\n", + "]\n", + "\n", + "alternative_config = crested.tl.TaskConfig(optimizer, loss, metrics)\n", + "print(alternative_config)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:19:16.196631+0100 WARNING Output directory mouse_biccn/finetuned_model/checkpoints already exists. Will continue training from epoch 9.\n" + ] + } + ], + "source": [ + "# setup the trainer\n", + "trainer = crested.tl.Crested(\n", + " data=datamodule,\n", + " model=model_architecture,\n", + " config=alternative_config,\n", + " project_name=\"mouse_biccn\", # change to your liking\n", + " run_name=\"finetuned_model\", # change to your liking\n", + " logger=\"wandb\", # or 'wandb', 'tensorboard'\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "trainer.fit(\n", + " epochs=60,\n", + " learning_rate_reduce_patience=3,\n", + " early_stopping_patience=6,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Evaluate the model\n", + "\n", + "After training, we can evaluate the model on the test set using the {meth}`~crested.tl.Crested.test` method. \n", + "If we're still in the same session, we can simply continue using the same object. \n", + "If not, we can load the model from disk using the{func}`~crested.tl.Crested.load_model` method.\n", + "This means that we have to create a new {class}`~crested.tl.Crested` object first. \n", + "However, this time, since the taskconfig and architecture are saved in the .keras file, we only have to provide our datamodule." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "adata = ad.read_h5ad(\"mouse_cortex_filtered.h5ad\")\n", + "\n", + "datamodule = crested.tl.data.AnnDataModule(\n", + " adata,\n", + " batch_size=256, # lower this if you encounter OOM errors\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# load an existing model\n", + "evaluator = crested.tl.Crested(data=datamodule)\n", + "\n", + "evaluator.load_model(\n", + " \"mouse_biccn/finetuned_model/checkpoints/02.keras\", # Load your model\n", + " compile=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you experimented with many different hyperparameters for your model, chances are that you will start overfitting on your validation dataset. \n", + "It's therefore always a good idea to evaluate your model on the test set after getting good results on your validation data to see how well it generalizes to unseen data." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1733995238.268813 3400934 service.cc:145] XLA service 0x7f4760013af0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:\n", + "I0000 00:00:1733995238.268847 3400934 service.cc:153] StreamExecutor device (0): NVIDIA H100 80GB HBM3, Compute Capability 9.0\n", + "2024-12-12 10:20:38.297640: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.\n", + "2024-12-12 10:20:38.441147: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:465] Loaded cuDNN version 8907\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m 3/33\u001b[0m \u001b[32m━\u001b[0m\u001b[37m━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m1s\u001b[0m 60ms/step - concordance_correlation_coefficient: 0.6685 - cosine_similarity: 0.8724 - loss: 0.5137 - mean_absolute_error: 1.6471 - mean_squared_error: 13.7273 - pearson_correlation: 0.7443 - pearson_correlation_log: 0.6123 - zero_penalty_metric: 2443.7920" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "I0000 00:00:1733995247.631424 3400934 device_compiler.h:188] Compiled cluster using XLA! This line is logged at most once for the lifetime of the process.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m33/33\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 116ms/step - concordance_correlation_coefficient: 0.7091 - cosine_similarity: 0.8744 - loss: 0.5054 - mean_absolute_error: 1.6253 - mean_squared_error: 13.6106 - pearson_correlation: 0.7706 - pearson_correlation_log: 0.6340 - zero_penalty_metric: 2470.7397\n", + "2024-12-12T10:20:51.416834+0100 INFO Test concordance_correlation_coefficient: 0.7221\n", + "2024-12-12T10:20:51.417376+0100 INFO Test cosine_similarity: 0.8707\n", + "2024-12-12T10:20:51.417635+0100 INFO Test loss: 0.5097\n", + "2024-12-12T10:20:51.417896+0100 INFO Test mean_absolute_error: 1.6882\n", + "2024-12-12T10:20:51.418280+0100 INFO Test mean_squared_error: 14.4946\n", + "2024-12-12T10:20:51.418600+0100 INFO Test pearson_correlation: 0.7813\n", + "2024-12-12T10:20:51.418892+0100 INFO Test pearson_correlation_log: 0.6345\n", + "2024-12-12T10:20:51.419171+0100 INFO Test zero_penalty_metric: 2302.9001\n" + ] + } + ], + "source": [ + "# evaluate the model on the test set\n", + "evaluator.test()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Predict\n", + "\n", + "After training, we can also use the {meth}`~crested.tl.Crested.predict` method to predict the labels for new data and add them as a layer to the `AnnData` object. \n", + "A common use case is to compare the predicted labels to the true labels for multiple trained models to see how well they compare. \n", + "\n", + "We can initiate a new Crested object (if you have different data) or use the existing one. \n", + "Here we continue with the existing one since we'll use the same data as we trained on." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m357/358\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m━\u001b[0m \u001b[1m0s\u001b[0m 54ms/step" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n", + "I0000 00:00:1733995272.947045 3401294 asm_compiler.cc:369] ptxas warning : Registers are spilled to local memory in function 'triton_gemm_dot_371', 64 bytes spill stores, 64 bytes spill loads\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m358/358\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m25s\u001b[0m 66ms/step\n", + "2024-12-12T10:21:16.424896+0100 INFO Adding predictions to anndata.layers[biccn_model].\n" + ] + } + ], + "source": [ + "# add predictions for model checkpoint to the adata\n", + "evaluator.predict(\n", + " adata, model_name=\"biccn_model\"\n", + ") # adds the predictions to the adata.layers[\"biccn_model\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Layers with keys: biccn_model" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adata.layers" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If you don't want to predict on the entire dataset, you can also predict on a given sequence or region using the {meth}`~crested.tl.Crested.predict_sequence` or {meth}`~crested.tl.Crested.predict_regions` methods." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Many of the plotting functions in the `crested.pl` module can be used to visualize these model predictions. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Example predictions on test set regions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It is always interesting to see how the model performs on unseen test set regions. It is recommended to always look at a few examples to spot potential biases, or trends that you do not expect." + ] + }, + { + "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", + "
chrstartendsplit
region
chr18:3269690-3271804chr1832696903271804test
chr18:3350307-3352421chr1833503073352421test
chr18:3451398-3453512chr1834513983453512test
chr18:3463977-3466091chr1834639773466091test
chr18:3488308-3490422chr1834883083490422test
...............
chr9:124125533-124127647chr9124125533124127647test
chr9:124140961-124143075chr9124140961124143075test
chr9:124142793-124144907chr9124142793124144907test
chr9:124477280-124479394chr9124477280124479394test
chr9:124479548-124481662chr9124479548124481662test
\n", + "

8198 rows × 4 columns

\n", + "
" ], - "source": [ - "import numpy as np\n", - "\n", - "from sklearn.metrics import pairwise\n", - "\n", - "\n", - "def L2_distance(\n", - " mutated_predictions: np.ndarray,\n", - " original_prediction: np.ndarray,\n", - " target: np.ndarray,\n", - " classes_of_interest: list[int],\n", - "):\n", - " \"\"\"Calculate the L2 distance between the mutated predictions and the target class\"\"\"\n", - " if len(original_prediction.shape) == 1:\n", - " original_prediction = original_prediction[None]\n", - " L2_sat_mut = pairwise.euclidean_distances(\n", - " mutated_predictions[:, classes_of_interest],\n", - " target[classes_of_interest].reshape(1, -1),\n", - " )\n", - " L2_baseline = pairwise.euclidean_distances(\n", - " original_prediction[:, classes_of_interest],\n", - " target[classes_of_interest].reshape(1, -1),\n", - " )\n", - " return np.argmax((L2_baseline - L2_sat_mut).squeeze())\n", + "text/plain": [ + " chr start end split\n", + "region \n", + "chr18:3269690-3271804 chr18 3269690 3271804 test\n", + "chr18:3350307-3352421 chr18 3350307 3352421 test\n", + "chr18:3451398-3453512 chr18 3451398 3453512 test\n", + "chr18:3463977-3466091 chr18 3463977 3466091 test\n", + "chr18:3488308-3490422 chr18 3488308 3490422 test\n", + "... ... ... ... ...\n", + "chr9:124125533-124127647 chr9 124125533 124127647 test\n", + "chr9:124140961-124143075 chr9 124140961 124143075 test\n", + "chr9:124142793-124144907 chr9 124142793 124144907 test\n", + "chr9:124477280-124479394 chr9 124477280 124479394 test\n", + "chr9:124479548-124481662 chr9 124479548 124481662 test\n", "\n", - "\n", - "L2_optimizer = crested.utils.EnhancerOptimizer(optimize_func=L2_distance)\n", - "\n", - "target_cell_type = \"L2_3IT\"\n", - "\n", - "classes_of_interest = [\n", - " i\n", - " for i, ct in enumerate(adata.obs_names)\n", - " if ct in [\"L2_3IT\", \"L5ET\", \"L5IT\", \"L6IT\"]\n", - "]\n", - "target = np.array([20 if x == target_cell_type else 0 for x in adata.obs_names])\n", - "intermediate, designed_sequences = evaluator.enhancer_design_in_silico_evolution(\n", - " target_class=None,\n", - " n_sequences=5,\n", - " n_mutations=30,\n", - " enhancer_optimizer=L2_optimizer,\n", - " target=target,\n", - " return_intermediate=True,\n", - " no_mutation_flanks=(807, 807),\n", - " classes_of_interest=classes_of_interest,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n" - ] - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "idx = 0\n", - "prediction = evaluator.predict_sequence(designed_sequences[idx])\n", - "crested.pl.bar.prediction(prediction, classes=list(adata.obs_names))" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2024-12-11T17:49:29.307757+0100 INFO Calculating contribution scores for 4 class(es) and 1 region(s).\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Region: 100%|██████████| 1/1 [00:05<00:00, 5.09s/it]\n" - ] - } - ], - "source": [ - "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_sequence(\n", - " designed_sequences[idx], class_names=[\"L2_3IT\", \"L5ET\", \"L5IT\", \"L6IT\"]\n", - ") # focus on two cell types of interest" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "crested.pl.patterns.contribution_scores(\n", - " scores,\n", - " one_hot_encoded_sequences,\n", - " sequence_labels=\"\",\n", - " class_labels=[\"L2_3IT\", \"L5ET\", \"L5IT\", \"L6IT\"],\n", - " zoom_n_bases=500,\n", - " title=\"\",\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "crested", - "language": "python", - "name": "crested" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } + "[8198 rows x 4 columns]" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Define a dataframe with test set regions\n", + "test_df = adata.var[adata.var[\"split\"] == \"test\"]\n", + "test_df" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "chr18:3892771-3894885\n", + "2024-12-12T10:21:16.459431+0100 INFO Plotting bar plots for region: chr18:3892771-3894885, models: ['biccn_model']\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot predictions vs ground truth for a random region in the test set defined by index\n", + "idx = 21\n", + "region = test_df.index[idx]\n", + "print(region)\n", + "crested.pl.bar.region_predictions(adata, region, title=\"Predictions vs Ground Truth\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Example predictions on manually defined regions" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 863ms/step\n" + ] + } + ], + "source": [ + "chrom = \"chr3\" #'chr18'\n", + "start = 72535878 - 807 # 61107770\n", + "end = 72536378 + 807 # 61109884\n", + "\n", + "sequence = genome.fetch(chrom, start, end).upper()\n", + "\n", + "prediction = evaluator.predict_sequence(sequence)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "crested.pl.bar.prediction(prediction, classes=list(adata.obs_names))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Prediction on gene locus" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also score a gene locus by using a sliding window over a predefined genomic range. We can compare those predictions then to the bigwig we did the predictions for, to see if the profile matches the CREsted predictions. " + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "chrom = \"chr4\"\n", + "start = 91209533\n", + "end = 91374781\n", + "\n", + "scores, coordinates, min_loc, max_loc, tss_position = evaluator.score_gene_locus(\n", + " chr_name=chrom,\n", + " gene_start=start,\n", + " gene_end=end,\n", + " class_name=\"Sst\",\n", + " strand=\"-\",\n", + " upstream=50000,\n", + " downstream=10000,\n", + " step_size=100,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:22.649225+0100 WARNING extract_bigwig_values_per_bp() is deprecated. Please use crested.utils.read_bigwig_region(bw_file, (chr, start, end)) instead.\n" + ] + } + ], + "source": [ + "bigwig = \"../../../../mouse/biccn/bigwigs/bws/Sst.bw\"\n", + "bw_values, midpoints = crested.utils.extract_bigwig_values_per_bp(bigwig, coordinates)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAC64AAAPeCAYAAAC256b2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3hT5fvH8c9Jd4ECMovsKfhliiiIArKk1MpSEGUpoqJfByIKyF4CDnDiQOpCcIG1RIWfgoKIggL6xY0gIKIIQtlNm/P7I03a0jRNmoSm7ft1Xb1onvOc59wtOW16nzv3MUzTNAUAAAAAAAAAAAAAAAAAAAAAQJBYijoAAAAAAAAAAAAAAAAAAAAAAEDJRuE6AAAAAAAAAAAAAAAAAAAAACCoKFwHAAAAAAAAAAAAAAAAAAAAAAQVhesAAAAAAAAAAAAAAAAAAAAAgKCicB0AAAAAAAAAAAAAAAAAAAAAEFQUrgMAAAAAAAAAAAAAAAAAAAAAgorCdQAAAAAAAAAAAAAAAAAAAABAUFG4DgAAAAAAAAAAAAAAAAAAAAAIKgrXAQAAAAAAAAAAAAAAAAAAAABBReE6AAAAAAAAgID49ttvNWLECNWrV0/R0dEqW7as2rRpo3nz5unw4cOueZ07d5ZhGK6P6OhoNWvWTDNnzlR6enquNXfv3p1r7tkfU6dO9SnG2bNna+XKlQH4anNzxpmcnBzwtYPh7O9dcnKyDMPQ7t27fVrHarXm+39Qt25dDR8+vNAxIrepU6fKMIwC5w0fPtzjOeN0Lp6z69atk2EYWrdunWvs3Xff1fXXX6+GDRsqJiZGdevW1Q033KBffvklaHGEipJwTixfvlwXXnihYmJiZBiGtm3bFtTj/fDDDxoyZIjq16+v6OhoVa5cWW3atNGdd96ptLQ0n9YK1s9/AAAAAAAAAN4LL+oAAAAAAAAAABR/L7zwgkaPHq0mTZro/vvvV7NmzWSz2bRlyxYtWrRIX3zxhVasWOGaX79+fb3++uuSpIMHD+rFF1/UpEmTtGfPHj3//PN51v/vf/+rwYMH5xmvWbOmT3HOnj1bAwYMUJ8+fXz7Aku43r1764svvlB8fLxP+1mtVj399NNui9dXrFihuLi4AEUIX8TExOiTTz4p6jDcmjt3rqpXr66JEyeqfv362rt3r2bPnq02bdpo06ZNuvDCC4s6ROTj4MGDGjJkiK666io988wzioqKUuPGjYN2vK1bt+qyyy5T06ZNNXnyZNWtW1f//POPtm/frmXLlmns2LE+/Yzh5z8AAAAAAABQ9ChcBwAAAAAAAOCXL774Qrfffru6d++ulStXKioqyrWte/fuuu+++/Thhx/m2icmJkaXXnqp63GvXr3UrFkzvfzyy3riiScUHR2da37t2rVzzS+tTp48qdjY2ICvW6VKFVWpUiWga7Zu3Tqg650LmZmZysjIyPUcLo4sFkvIni/vv/++qlatmmvsyiuvVN26dfX444/rxRdfLKLIUJCff/5ZNptNN954ozp16hSQNT39TFuwYIEsFovWrVuncuXKucYHDBigGTNmyDTNgMQAAAAAAAAA4NyxFHUAAAAAAAAAAIq32bNnyzAMPf/8824LfiMjI5WUlORxjfDwcLVq1Urp6ek6cuRIoeLYunWrEhMTVbVqVUVFRalGjRrq3bu39u3bJ0kyDEMnTpzQyy+/LMMwZBiGOnfu7Nr/wIEDuvXWW1WzZk1FRkaqXr16mjZtmjIyMnIdZ//+/bruuutUrlw5lS9fXgMHDtSBAwe8ijE5OVmGYWjNmjUaMWKEzjvvPJUpU0ZXX321fvvtt1xzO3furP/85z/67LPP1KFDB8XGxuqmm26SJKWlpWns2LGqV6+eIiMjdf755+uee+7RiRMncq2RlpamW265RZUqVVLZsmV11VVX6eeff843rt27d+ca//DDD9W1a1eVL19esbGxatq0qebMmSNJGj58uJ5++mnX99b54Vyjbt26Gj58eK719uzZoxtvvNH1f9S0aVM9+uijstvtrjm7d++WYRh65JFH9Nhjj6levXoqW7as2rdvr02bNhX4PT548KBGjx6tZs2aqWzZsqpataquvPJKrV+/Ptc853HmzZunmTNnql69eoqKitLatWslSSkpKWrfvr1iY2NVrlw5de/eXV988UWuNYYPH666devmiWHq1KkyDCPXmGEYuvPOO/Xqq6+qadOmio2NVcuWLZWamppn/1WrVqlVq1aKiopSvXr19MgjjxT4dQfCr7/+qhEjRqhRo0aKjY3V+eefr6uvvlrfffeda87BgwcVGRmpSZMm5dn/xx9/lGEYeuKJJ/I9xtlF65JUo0YN1axZU3v37i0wRtM0NXv2bNWpU0fR0dFq27at1qxZo86dO+c6nyXvzxNf/m9++eUXDR48ONdz2HkeFIY354QknTlzRtOnT1fTpk0VHR2tSpUqqUuXLtq4caOk7OdzcnJynmMYhpHrrggHDx7UqFGjVKtWLUVFRalKlSq67LLL9H//93/5xjl8+HB17NhRkjRw4MA8Pz+9OV+c58U333yjAQMGqGLFimrQoEG+xzx06JDi4uJUtmxZt9tznmP+/vwHAAAAAAAAcG7QcR0AAAAAAABAoWVmZuqTTz7RRRddpFq1avm11q5du1ShQgW3nb/tdnueAnLJUfAuSSdOnFD37t1Vr149Pf3006pWrZoOHDigtWvX6tixY5IcneGvvPJKdenSxVV0GxcXJ8lRtN6uXTtZLBZNnjxZDRo00BdffKGZM2dq9+7dWrJkiSTp1KlT6tatm/bv3685c+aocePGWrVqlQYOHOjT13rzzTere/fuWrp0qfbu3auHHnpInTt31rfffqsKFSq45v3555+68cYbNW7cOM2ePVsWi0UnT55Up06dtG/fPk2YMEEtWrTQjh07NHnyZH333Xf6v//7PxmGIdM01adPH23cuFGTJ0/WxRdfrM8//1y9evXyKsbFixfrlltuUadOnbRo0SJVrVpVP//8s/73v/9JkiZNmqQTJ07o7bffzlWgGh8f73a9gwcPqkOHDkpPT9eMGTNUt25dpaamauzYsdq5c6eeeeaZXPOffvppXXDBBVqwYIHreAkJCdq1a5fKly+fb9yHDx+WJE2ZMkXVq1fX8ePHtWLFCnXu3Fkff/xxnmLVJ554Qo0bN9YjjzyiuLg4NWrUSEuXLtUNN9ygHj166I033tCZM2c0b9481xrOAl5frVq1Sps3b9b06dNVtmxZzZs3T3379tVPP/2k+vXrS5I+/vhjXXPNNWrfvr2WLVumzMxMzZs3T3/99ZdPx3J3vlgsFlks+fez2b9/vypVqqSHH35YVapU0eHDh/Xyyy/rkksu0datW9WkSRNVqVJFiYmJevnllzVt2rRc6y1ZskSRkZG64YYbfIr1t99+0++//64+ffoUOHfixImaM2eORo0apX79+mnv3r0aOXKkbDabGjdu7Jrn7Xni5M3/zffff68OHTqodu3aevTRR1W9enV99NFHuuuuu/TPP/9oypQpPn3d3p4TGRkZ6tWrl9avX6977rlHV155pTIyMrRp0ybt2bNHHTp08Om4Q4YM0TfffKNZs2apcePGOnLkiL755hsdOnQo330mTZqkdu3a6Y477tDs2bPVpUsX189PX8+Xfv36adCgQbrtttvyvIkgp/bt22vVqlW64YYbdOutt6pdu3aKiYnJM8/fn/8AAAAAAAAAziETAAAAAAAAAArpwIEDpiRz0KBBXu/TqVMn88ILLzRtNptps9nMP//805w8ebIpyVy0aFGuubt27TIl5fuxfv160zRNc8uWLaYkc+XKlR6PXaZMGXPYsGF5xm+99VazbNmy5u+//55r/JFHHjElmTt27DBN0zSfffZZU5L53nvv5Zp3yy23mJLMJUuWeDz+kiVLTElm3759c41//vnnpiRz5syZub5PksyPP/4419w5c+aYFovF3Lx5c67xt99+25RkWq1W0zRN84MPPjAlmQsXLsw1b9asWaYkc8qUKXni2rVrl2mapnns2DEzLi7O7Nixo2m32/P9eu644w4zvzRznTp1cn2vH3zwQVOS+eWXX+aad/vtt5uGYZg//fSTaZrZ/+fNmzc3MzIyXPO++uorU5L5xhtv5BuPOxkZGabNZjO7du2a6/vuPE6DBg3M9PR013hmZqZZo0YNs3nz5mZmZqZr/NixY2bVqlXNDh06uMaGDRtm1qlTJ88xp0yZkuf7IsmsVq2amZaW5ho7cOCAabFYzDlz5rjGLrnkErNGjRrmqVOnXGNpaWnmeeedl+/3Oqdhw4ble7507do1z9fv6TmbkZFhpqenm40aNTLvvfde13hKSoopyVy9enWuuTVq1DD79+/vGlu7dq0pyVy7dm2+x7DZbGbnzp3NuLg4c8+ePR6/tsOHD5tRUVHmwIEDc41/8cUXpiSzU6dOrjFvzxPT9P7/pmfPnmbNmjXNo0eP5lrzzjvvNKOjo83Dhw97jL+w58Qrr7xiSjJfeOGFfNf29P959vletmxZ85577vEYqzvO/8+33nrLNebL+eI8LyZPnuzV8U6fPm326dPH9fwNCwszW7dubU6cONH8+++/XfP8/fkPAAAAAAAA4NzJv7UKAAAAAAAAAATJjh07FBERoYiICMXHx2v69OkaP368br31Vrfz7777bm3evDnPR6tWrSRJDRs2VMWKFfXAAw9o0aJF+v77732KJzU1VV26dFGNGjWUkZHh+nB2J//0008lSWvXrlW5cuWUlJSUa//Bgwf7dLyzO1J36NBBderU0dq1a3ONV6xYUVdeeWWeWP/zn/+oVatWuWLt2bOnDMPQunXrXLG6O5Y3sW7cuFFpaWkaPXp0rq7U/vjkk0/UrFkztWvXLtf48OHDZZqmPvnkk1zjvXv3VlhYmOtxixYtJEm///57gcdatGiR2rRpo+joaIWHhysiIkIff/yxfvjhhzxzk5KSFBER4Xr8008/af/+/RoyZEiubuJly5ZV//79tWnTJp08edK7L/osXbp0Ubly5VyPq1WrpqpVq7q+phMnTmjz5s3q16+foqOjXfPKlSunq6++2uvjxMTEuD1fzu5qf7aMjAzNnj1bzZo1U2RkpMLDwxUZGalffvkl1/euV69eql69uutOBJL00Ucfaf/+/brpppu8jtM0Td18881av369XnnllQLv2rBp0yadOXNG1113Xa7xSy+9VHXr1s015u154lTQ/83p06f18ccfq2/fvoqNjc21ZkJCgk6fPq1NmzZ5/bVL3p8TH3zwgaKjo3363nrSrl07JScna+bMmdq0aZNsNluh1yrM+dK/f3+v1o6KitKKFSv0/fff6/HHH9egQYN08OBBzZo1S02bNtVPP/0kyf+f/wAAAAAAAADOHQrXAQAAAAAAABRa5cqVFRsbq127dvm0X4MGDbR582Z99dVXeuutt9SyZUvNmTNHy5Ytczu/Zs2aatu2bZ6PsmXLSpLKly+vTz/9VK1atdKECRN04YUXqkaNGpoyZYpXRZl//fWX3n//fVcxvfPjwgsvlCT9888/kqRDhw6pWrVqefavXr26T1+/u/nVq1fXoUOHco3Fx8e7jfXbb7/NE2u5cuVkmmauWMPDw1WpUiWfYz148KAkx/c9UA4dOuT266lRo4Zre05nxx0VFSVJOnXqlMfjPPbYY7r99tt1ySWX6J133tGmTZu0efNmXXXVVW73PTsmZxz5xWq32/Xvv/96jCE/Z39NkuPrcsb177//ym635/v88JbFYnF7vjRu3NjjfmPGjNGkSZPUp08fvf/++/ryyy+1efNmtWzZMtf3Ljw8XEOGDNGKFSt05MgRSVJycrLi4+PVs2dPr2I0TVMjR47Ua6+9puTkZF1zzTUF7uP8v3F3Dp495u154lTQ/82hQ4eUkZGhJ598Ms+aCQkJkpRnTW++Hm/OiYMHD6pGjRq5CsP9sXz5cg0bNkwvvvii2rdvr/POO09Dhw7VgQMHfF6rMOeLu7meNG3aVPfcc49ee+017dmzR4899pgOHTqkSZMmSfL/5z8AAAAAAACAcye8qAMAAAAAAAAAUHyFhYWpa9eu+uCDD7Rv3z6vC52jo6PVtm1bSdLFF1+sLl266MILL9Q999yjxMREV0G6L5o3b65ly5bJNE19++23Sk5O1vTp0xUTE6MHH3zQ476VK1dWixYtNGvWLLfbnYWklSpV0ldffZVnu68Fn+7mHzhwQA0bNsw15q7beeXKlRUTE6OXXnrJ7dqVK1d2xZqRkaFDhw7lKsr1JtYqVapIkvbt21fgXG9VqlRJf/75Z57x/fv3S8qO21+vvfaaOnfurGeffTbX+LFjx9zOP/t77Pxe5RerxWJRxYoVJTmex2fOnMkzz9cCZqeKFSvKMIx8nx/B9tprr2no0KGaPXt2rvF//vlHFSpUyDU2YsQIzZ8/X8uWLdPAgQOVkpKie+65J1eX/Pw4i9aXLFmixYsX68Ybb/QqPuf/zV9//ZVn24EDB3J1Xff2PPFWxYoVFRYWpiFDhuiOO+5wO6devXo+rentOVGlShVt2LBBdrs93+J1Z4f+s5+PZ78hxLnuggULtGDBAu3Zs0cpKSl68MEH9ffff+vDDz/0+WuQvDtfnPy5i4NhGLr33ns1ffp0/e9//3ON+/PzHwAAAAAAAMC5Q8d1AAAAAAAAAH4ZP368TNPULbfcovT09DzbbTab3n//fY9rVKpUSQ8//LD++usvPfnkk37FYxiGWrZsqccff1wVKlTQN99849qWs4NyTomJifrf//6nBg0auO1U7Sxc79Kli44dO6aUlJRc+y9dutSnGF9//fVcjzdu3Kjff/9dnTt3LnDfxMRE7dy5U5UqVXIbq7N4t0uXLm6P5U2sHTp0UPny5bVo0SKZppnvPG+7oEtS165d9f333+f6/5CkV155RYZhuOL1l2EYrricvv32W33xxRde7d+kSROdf/75Wrp0aa6v/cSJE3rnnXfUvn17xcbGSpLq1q2rv//+O1chdXp6uj766KNCxV6mTBm1a9dO7777rk6fPu0aP3bsWIHnUCC4+96tWrVKf/zxR565TZs21SWXXKIlS5Zo6dKlOnPmjEaMGFHgMZw/K5YsWaLnnnvOq32cLrnkEkVFRWn58uW5xjdt2qTff/8915i354m3YmNj1aVLF23dulUtWrRwu6a7ru2eeHtO9OrVS6dPn1ZycnK+a1WrVk3R0dH69ttvc42/9957HmOoXbu27rzzTnXv3j1PHN7w5XzxlbtieMlREJ+Wlub6uZxTYX7+AwAAAAAAADh36LgOAAAAAAAAwC/t27fXs88+q9GjR+uiiy7S7bffrgsvvFA2m01bt27V888/r//85z+6+uqrPa4zdOhQPfbYY3rkkUd0xx13KC4uzrVtz5492rRpU559qlSpogYNGig1NVXPPPOM+vTpo/r168s0Tb377rs6cuSIunfv7prfvHlzrVu3Tu+//77i4+NVrlw5NWnSRNOnT9eaNWvUoUMH3XXXXWrSpIlOnz6t3bt3y2q1atGiRapZs6aGDh2qxx9/XEOHDtWsWbPUqFEjWa1WnwuVt2zZopEjR+raa6/V3r17NXHiRJ1//vkaPXp0gfvec889euedd3TFFVfo3nvvVYsWLWS327Vnzx6tXr1a9913ny655BL16NFDV1xxhcaNG6cTJ06obdu2+vzzz/Xqq68WeIyyZcvq0Ucf1ciRI9WtWzfdcsstqlatmn799Vdt375dTz31lOv7KUlz585Vr169FBYWphYtWigyMjLPmvfee69eeeUV9e7dW9OnT1edOnW0atUqPfPMM7r99tvVuHFjn76H+UlMTNSMGTM0ZcoUderUST/99JOmT5+uevXqKSMjo8D9LRaL5s2bpxtuuEGJiYm69dZbdebMGc2fP19HjhzRww8/7Jo7cOBATZ48WYMGDdL999+v06dP64knnlBmZmah458xY4auuuoqde/eXffdd58yMzM1d+5clSlTRocPH/ZqDbvd7vZ8kaTWrVvnKU53SkxMVHJysi644AK1aNFCX3/9tebPn5/vnRRuuukm3Xrrrdq/f786dOigJk2aFBjbXXfdpcWLF+umm25S8+bNc8UZFRWl1q1b57vveeedpzFjxmjOnDmqWLGi+vbtq3379mnatGmKj4/P1Y3c2/PEFwsXLlTHjh11+eWX6/bbb1fdunV17Ngx/frrr3r//ff1ySef+LSet+fE9ddfryVLlui2227TTz/9pC5dushut+vLL79U06ZNNWjQIBmGoRtvvFEvvfSSGjRooJYtW+qrr77K80aVo0ePqkuXLho8eLAuuOAClStXTps3b9aHH36ofv36+RS/5Nv54qtRo0bpyJEj6t+/v/7zn/8oLCxMP/74ox5//HFZLBY98MADkuT3z38AAAAAAAAA5w6F6wAAAAAAAAD8dsstt6hdu3Z6/PHHNXfuXB04cEARERFq3LixBg8erDvvvLPANSwWix5++GH17t1bCxYs0OTJk13bnnzySbed2G+44Qa99tpratSokSpUqKB58+Zp//79ioyMVJMmTZScnKxhw4a55i9cuFB33HGHBg0apJMnT6pTp05at26d4uPjtWXLFs2YMUPz58/Xvn37VK5cOdWrV09XXXWVKlasKMnRdfmTTz7R3XffrQcffFCGYahHjx5atmyZOnTo4PX3a/HixXr11Vc1aNAgnTlzRl26dNHChQt13nnnFbhvmTJltH79ej388MN6/vnntWvXLsXExKh27drq1q2bq5O0xWJRSkqKxowZo3nz5ik9PV2XXXaZrFarLrjgggKPc/PNN6tGjRqaO3euRo4cKdM0Vbdu3Vzfz8GDB+vzzz/XM888o+nTp8s0Te3atcttN+sqVapo48aNGj9+vMaPH6+0tDTVr19f8+bN05gxY7z+3hVk4sSJOnnypBYvXqx58+apWbNmWrRokVasWKF169Z5tcbgwYNVpkwZzZkzRwMHDlRYWJguvfRSrV27Ntf/c7169fTee+9pwoQJGjBggOLj4zVmzBgdPHhQ06ZNK1T83bt318qVK/XQQw9p4MCBql69ukaPHq1Tp055veapU6fUvn17t9t++eUXNWzY0O22hQsXKiIiQnPmzNHx48fVpk0bvfvuu3rooYfczh80aJDuuece7du3T1OmTPEqNmfn+JdeekkvvfRSrm116tTR7t27Pe4/a9YslSlTRosWLdKSJUt0wQUX6Nlnn9XEiRNVoUIF1zxvzxNfNGvWTN98841mzJihhx56SH///bcqVKigRo0aKSEhwef1vD0nwsPDZbVaNWfOHL3xxhtasGCBypUrp5YtW+qqq65yzXv00UclSfPmzdPx48d15ZVXKjU1NdfXGh0drUsuuUSvvvqqdu/eLZvNptq1a+uBBx7QuHHjfP4aJO/PF1/997//1fLly/XCCy/ojz/+0IkTJ1SlShW1b99er7zyii699FJJ8vvnPwAAAAAAAIBzxzA93ecVAAAAAAAAABAwycnJGjFihDZv3qy2bdsWdThAibBr1y5dcMEFmjJliiZMmFDU4QAAAAAAAAAA8kHHdQAAAAAAAAAAUCxs375db7zxhjp06KC4uDj99NNPmjdvnuLi4nTzzTcXdXgAAAAAAAAAAA8oXAcAAAAAAAAAAMVCmTJltGXLFi1evFhHjhxR+fLl1blzZ82aNUvVqlUr6vAAAAAAAAAAAB4YpmmaRR0EAAAAAAAAAAAAAAAAAAAAAKDkshR1AAAAAAAAAAAAAAAAAAAAAACAko3CdQAAAAAAAAAAAAAAAAAAAABAUFG4DgAAAAAAAAAAAAAAAAAAAAAIqvCiDuBcs9vt2r9/v8qVKyfDMIo6HAAAAAAAAAAAAAAAAAAAAAAolkzT1LFjx1SjRg1ZLJ57qpe6wvX9+/erVq1aRR0GAAAAAAAAAAAAAAAAAAAAAJQIe/fuVc2aNT3OKXWF6+XKlZPk+ObExcUVcTQIZTabTatXr1aPHj0UERFR1OHAV0ePSm+9JcXESFFRRR0NAAAllk3S6pgY9Th1SrxiAgAAcI/XTAAAAJ7xeglAyDhzRjp1Srr2Wql8+aKOBgByoZYJABCq0tLSVKtWLVeNtielrnDdMAxJUlxcHIXr8Mhmsyk2NlZxcXG82CuOTNNRtF6xolSmTFFHAwBAiWUzTcWapuLKlFFE1mttAAAA5MZrJgAAAM94vQQgZJw44fg3Ls7xAQAhhFomAECoM7z4m95yDuIAAAAAAAAAAAAAAAAAAAAAAJRiFK4DAAAAAAAAAAAAAAAAAAAAAIKKwnUAAAAAAAAAAAAAAAAAAAAAQFCFF3UAAAAAAAAAAAAAAAAAAAAAAPJnt9uVnp5e1GGgFIqIiFBYWFhA1qJwHQAAAAAAAAAAAAAAAAAAAAhR6enp2rVrl+x2e1GHglKqQoUKql69ugzD8GsdCtcBAAAAAAAAAAAAAAAAAACAEGSapv7880+FhYWpVq1aslgsRR0SShHTNHXy5En9/fffkqT4+Hi/1qNwHQAAAAAAAAAAAAAAAAAAAAhBGRkZOnnypGrUqKHY2NiiDgelUExMjCTp77//VtWqVRUWFlbotXjbBQAAAAAAAAAAAAAAAAAAABCCMjMzJUmRkZFFHAlKM+ebJmw2m1/rULgOAAAAAAAAAAAAAAAAAAAAhDDDMIo6BJRigXr+UbgOAAAAAAAAAAAAAAAAAAAAAAiqkCpc/+yzz3T11VerRo0aMgxDK1euzDPnhx9+UFJSksqXL69y5crp0ksv1Z49e859sAAAAAAAAAAAAAAAAAAAAACK1NSpU9WqVSvX4+HDh6tPnz5+rRmINZBXSBWunzhxQi1bttRTTz3ldvvOnTvVsWNHXXDBBVq3bp22b9+uSZMmKTo6+hxHCgAAAAAoCoePSkbSFTKSEmQk9ZaR1FthST2156+ijgwAAAAAAAAAAAAAQldmprRunfTGG45/MzODe7zhw4fLMAwZhqGIiAjVr19fY8eO1YkTJ4J7YEkLFy5UcnKyV3N3794twzC0bdu2Qq/hj7Vr16pLly4677zzFBsbq0aNGmnYsGHKyMgI+rGLQnhRB5BTr1691KtXr3y3T5w4UQkJCZo3b55rrH79+uciNAAAAABAEas0uJsOH4+WZOQatytSdW5JVLjFLttKa9EEBwAAAAAAAAAAAAAh6t13pbvvlvbtyx6rWVNauFDq1y94x73qqqu0ZMkS2Ww2rV+/XiNHjtSJEyf07LPP5plrs9kUERERkOOWL18+JNYoyI4dO9SrVy/dddddevLJJxUTE6NffvlFb7/9tux2e1COaZqmMjMzFR5eNCXkIVW47ondbteqVas0btw49ezZU1u3blW9evU0fvx4j634z5w5ozNnzrgep6WlSXI8wW02W7DDRjHmfH7wPCmmMjIkI6ugyTSLNhYAAEowW9bvWRu/bxFkkdf0luOmYUa+czLsFkX0SdDJFavOWVwAAHiD10wAAACe8XoJQEgxDMf1ZmoFAIQYapmA0stms8k0Tdnt9kIVM7/7rnTddUZWGV329dY//jA1YID05ptmUIrXTdNUZGSkqlatKkkaNGiQPvnkE61cuVJPP/20pk2bpvfee0933nmnZs+erd27d8tmsyktLU3jxo3Te++9p9OnT6tt27Z69NFH1bJlS9fac+fO1YIFC3Ty5Elde+21qlKliiS5vj8jRozQkSNHtGLFCtf4I488ohdffFF79+5VtWrVNGrUKE2YMEH16tWTJLVu3VqS1KlTJ33yySd51jhz5ozGjRun5cuXKy0tzRXXxRdfLElat26dunbtqtWrV2v8+PH6/vvv1apVKy1evFhNmjRx+z1avXq14uPj9fDDD7vG6tWrpx49euT6ej7//HM99NBD2rx5s6KionTxxRfrjTfeUMWKFb2Oy2q1atKkSfr222/1wQcfqHPnznrkkUf03HPP6c8//1Tjxo01ceJEDRgwwG2sdrtdpmnKZrMpLCws1zZffjcVm8L1v//+W8ePH9fDDz+smTNnau7cufrwww/Vr18/rV27Vp06dXK735w5czRt2rQ846tXr1ZsbGyww0YJsGbNmqIOAYUVH+/4lyQnAABBt0bidy6Cpk+fRDmK1j0xJJnKsFuU/JeprNwHAAAhhddMAAAAnvF6CUCRi4lxfGzYUNSRAEC+qGUCSp/w8HBVr15dx48fV3p6ukxTOnnSu30zM6W77orLU7QuSaZpyDBM3X231K5dms6qRXYrNja7n2xBbDabMjIyXA2nJSksLEzp6elKS0vTmTNn9Ouvv2rZsmVKTk6WxWJRWlqaevXqpYoVK2r58uWKi4tTcnKyunXrpi1btqhixYpasWKFpk6dqvnz56t9+/Zavny5nn32WdWpUydXc+ucx54yZYpeeeUVzZ49W5deeqkOHDigX375RWlpafr444/VtWtXrVy5UhdccIEiIyOVlpaWZ40HH3xQKSkpevrpp1WrVi098cQTuuqqq/TNN9+oYsWKOpn1nzJhwgRNmzZNlSpV0pgxYzR8+HB99NFHbr9HcXFx+vPPP/XBBx/osssuczvnu+++U/fu3XXDDTdo5syZCg8P1/r163XkyBGFhYV5Hdf999+vGTNmqG7duipfvrzGjRun1NRUzZ8/Xw0aNNDGjRs1dOhQlSlTxm0s6enpOnXqlD777DNlZGTk2nbS2yekJMM0Q/Mvf8MwtGLFClc39f379+v888/X9ddfr6VLl7rmJSUlqUyZMnrjjTfcruOu43qtWrX0zz//KC4uLqhfA4o3m82mNWvWqHv37gG7/QTOobQ06a23pAoVHL8tAQBAUNhMU2skdZcU4e1fp4APPv1O6v7Q1fLUaf1sZaPTdXj5h8ELCgAAH/GaCQAAwDNeLwEIGSdPSkeOSNdeK1FTAiDEUMsElF6nT5/W3r17VbduXUVHR+vECSkurqDGX8GRlmZXmTLezT27Y/lXX32lxMREXXnllVq2bJmmTZumOXPmaO/eva6O6Z988on69++vAwcOKCoqyrVW48aNNXbsWI0aNUodO3ZUixYt9Mwzz7i2d+jQQadPn9Y333yT59jHjh1TtWrV9MQTT2jkyJF54ty9e7caNGigr7/+Wq1atXIb/4kTJ1SpUiW99NJLGjx4sCTHz+X69evr7rvv1tixY3N1XO/ataskyWq16uqrr9aJEycUHR2d59iZmZm65ZZb9PLLL6t69eq65JJL1LVrVw0ZMsRV43zDDTdo7969+uyzz/Ls70tc7777rq655hrXflWrVtX//d//qX379q71brnlFp08eVKvv/56nmOdPn1au3fvVq1atfJ8LWlpaapcubKOHj1aYG12sem4XrlyZYWHh6tZs2a5xps2baoNHt7pGhUVlevJ6xQREcEvcHiF50oxFR6e3ZGDBCcAAMFlmoowDC4qIii6P5QgX4rWJenkmXCejwCA0MNrJgAAAM94vQQgVJim43ozdQIAQhS1TEDpk5mZKcMwZLFYsj6KLhZfjm8YhlatWqW4uDhlZGTIZrPpmmuu0VNPPSWLxSLDMFSnTh1Vq1bNtc/WrVt1/PhxVyG706lTp7Rr1y5ZLBb98MMPuu2222TJEUj79u21du1a15hhGK7v2U8//aQzZ86oe/fuufbJ+TVlf23Z23OusWvXLtlsNl1++eWuOVFRUWrXrp1+/PHHXPu2atXK9fn5558vSfrnn39Uu3Ztt8dOTk7WrFmz9Mknn2jTpk2aPXu25s2bp6+++krx8fHavn27rr32Wrex+xJXu3btXJ//+OOPOn36tHr27JlrvfT0dLVu3Trf75NhGG5/D/nye6nYFK5HRkbq4osv1k8//ZRr/Oeff1adOnWKKCoAAAAAQHD5frE6Niqj4EkAAAAAAAAAAAAAUAzFxkrHj3s397PPpISEgudZrdIVV3h3bF906dJFzz77rCIiIlSjRo08Bc5lzmrfbrfbFR8fr3Xr1uVZq0KFCr4dPEtMTEyh9svJzGqia5z1ZmvTNPOM5fwandvsdrvH9c8//3wNGTJEQ4YM0cyZM9W4cWMtWrRI06ZN8xi/L3Hl/F4741m1apWruN7JXbPwQCrC913kdfz4cW3btk3btm2T5HgnwLZt27Rnzx5J0v3336/ly5frhRde0K+//qqnnnpK77//vkaPHl2EUQMAAAAAgsf0ca6pHU9+FKxgAAAAAAAAAAAAAKBIGYZUpox3Hz16SDVrOvbJb61atRzzvFnP15tklSlTRg0bNlSdOnW86srdpk0bHThwQOHh4WrYsGGuj8qVK0uSmjZtqk2bNuXa7+zHOTVq1EgxMTH6+OOP3W6PjIyU5Ohsn5+GDRsqMjJSGzZscI3ZbDZt2bJFTZs2LfDr8kXFihUVHx+vEydOSJJatGiRb+yFjatZs2aKiorSnj178nyfa9WqFdCv52wh1XF9y5Yt6tKli+vxmDFjJEnDhg1TcnKy+vbtq0WLFmnOnDm666671KRJE73zzjvq2LFjUYUMAAAAAAiidbOs6jwxMeuRN1kQu2pXK3gWAAAAAAAAAAAAAJR0YWHSwoXSgAGOonMzR98wZxH6ggWOeaGgW7duat++vfr06aO5c+eqSZMm2r9/v6xWq/r06aO2bdvq7rvv1rBhw9S2bVt17NhRr7/+unbs2KH69eu7XTM6OloPPPCAxo0bp8jISF122WU6ePCgduzYoZtvvllVq1ZVTEyMPvzwQ9WsWVPR0dEqX758rjXKlCmj22+/Xffff7/OO+881a5dW/PmzdPJkyd18803F/rrfe6557Rt2zb17dtXDRo00OnTp/XKK69ox44devLJJyVJ48ePV/PmzTV69GjddtttioyM1Nq1a3XttdeqcuXKhYqrXLlyGjt2rO69917Z7XZ17NhRaWlp2rhxo8qWLathw4YV+msqSEgVrnfu3NnVtj4/N910k2666aZzFBEAAAAAoCh1ai5JdjluGGaq4OJ1i4ykBJkp1mCHBgAAAAAAAAAAAAAhr18/6e23pbvvlvbtyx6vWdNRtN6vX5GFlodhGLJarZo4caJuuukmHTx4UNWrV9cVV1yhatUcHcwGDhyonTt36oEHHtDp06fVv39/3X777froo/zvzD1p0iSFh4dr8uTJ2r9/v+Lj43XbbbdJksLDw/XEE09o+vTpmjx5si6//HKtW7cuzxoPP/yw7Ha7hgwZomPHjqlt27b66KOPVLFixUJ/ve3atdOGDRt02223af/+/SpbtqwuvPBCrVy5Up06dZIkNW7cWKtXr9aECRPUrl07xcTE6JJLLtH111/vV1wzZsxQ1apVNWfOHP3222+qUKGC2rRpowkTJhT66/GGYRZUKV7CpKWlqXz58jp69Kji4uKKOhyEMJvNJqvVqoSEBK9uUYEQc/SotHSpVLGi4x4lAAAgKGymKatpKsEwFOHrPcEAHxhJCXIUrxf0PHP8iZs6KVW9Lw52VAAAeIfXTAAAAJ7xeglAyDhxQvr3X2nwYOmsLpsAUNSoZQJKr9OnT2vXrl2qV6+eoqOjC71OZqa0fr30559SfLx0+eWh02kdoc/T89CX2uyQ6rgOAAAAAIA7Zoo1q3i9oMyJ4+J24gy6rgMAAAAAAAAAAACAU1iY1LlzUUeB0s5S1AEAAAAAAOAdXzqu0Z0NAAAAAAAAAAAAAIBQQuE6AAAAAKCYMIM0FwAAAAAAAAAAAAAABBuF6wAAAACAkPfCKudnBRWkm5JMpU6yBjcgAAAAAAAAAAAAAADgk/CiDgAAAAAAAE+MpAQ53ndtFDDTWdRuV++LgxsTAAAAAAAAAAAAAADwDR3XAQAAAAAhK7to3Vt2mSl0WwcAAAAAAAAAAAAAINTQcR0AAAAAEJJeWCVlF6176rZuSrIrdZKVTusAAAAAAAAAAAAAAIQoOq4DAAAAAELSqOcS5ChY91S0LtecxBkJevKd4McFAAAAAAAAAAAAAAB8R+E6AAAAACBEFVSwnpNFUpjuejlRRlJCsAICAAAAAAAAAAAAAACFFF7UAQAAAAAA4J5ZyP0sMpISZKZYAxoNAAAAAAAAAAAAAISMU6ek9PRzd7zISCkm5twdDyUShesAAAAAgJD0/K1WjXouMeuRt93XDTkK3i168h3pv/2DExsAAAAAAAAAAAAAFJlTp6T33pP+/ffcHbNiRemaa3wqXj9w4IDmzJmjVatWad++fSpfvrwaNWqkG2+8UUOHDlVsbGwQAy5Y586d1apVKy1YsKBI4yhNKFwHAAAAAISkW3pLo56zS7LIUYzuS/G6dNfLCfpvf7quAwAAAAAAAAAAAChh0tMdResxMVJ0dPCPd/q043jp6V4Xrv/222+67LLLVKFCBc2ePVvNmzdXRkaGfv75Z7300kuqUaOGkpKSghw4Qo2lqAMAAAAAACA/ZopVkr2Qe3tb6A4AAAAAAAAAAAAAxVB0tFSmTPA/ClEcP3r0aIWHh2vLli267rrr1LRpUzVv3lz9+/fXqlWrdPXVV7vmHj16VKNGjVLVqlUVFxenK6+8Utu3b3dtnzp1qlq1aqVXX31VdevWVfny5TVo0CAdO3bMNcc0Tc2bN0/169dXTEyMWrZsqbffftuvb+8777yjCy+8UFFRUapbt64effTRXNvPnDmjcePGqVatWoqKilKjRo20ePFiSVJycrIqVKiQa/7KlStlGNnXsbdv364uXbqoXLlyiouL00UXXaQtW7b4FXOoo3AdAAAAABDSzBSrnr81VVKmr3sGIxwAAAAAAAAAAAAAgAeHDh3S6tWrdccdd6hMmTJu5zgLuE3TVO/evXXgwAFZrVZ9/fXXatOmjbp27arDhw+75u/cuVMrV65UamqqUlNT9emnn+rhhx92bX/ooYe0ZMkSPfvss9qxY4fuvfde3Xjjjfr0008L9TV8/fXXuu666zRo0CB99913mjp1qiZNmqTk5GTXnKFDh2rZsmV64okn9MMPP2jRokUqW7as18e44YYbVLNmTW3evFlff/21HnzwQUVERBQq3uIivKgDAAAAAACgILf0lqa/k659/8QouyA9v47qju1PDLOei9AAAAAAAAAAAAAAADn8+uuvMk1TTZo0yTVeuXJlnT59WpJ0xx13aO7cuVq7dq2+++47/f3334qKipIkPfLII1q5cqXefvttjRo1SpJkt9uVnJyscuXKSZKGDBmijz/+WLNmzdKJEyf02GOP6ZNPPlH79u0lSfXr19eGDRv03HPPqVOnTj5/DY899pi6du2qSZMmSZIaN26s77//XvPnz9fw4cP1888/680339SaNWvUrVs31zF9sWfPHt1///264IILJEmNGjXyOc7ihsJ1AAAAAECxYLoaqNvluIGYqbzF66Zrzn/7n6PAAAAAAAAAAAAAAAB5OLuqO3311Vey2+264YYbdObMGUmOzubHjx9XpUqVcs09deqUdu7c6Xpct25dV9G6JMXHx+vvv/+WJH3//fc6ffq0unfvnmuN9PR0tW7dulCx//DDD7rmmmtyjV122WVasGCBMjMztW3bNoWFhRWqKN5pzJgxGjlypF599VV169ZN1157rRo0aFDo9YoDCtcBAAAAAMWCs3B964INan1PRzmK192xy0yh2zoAAAAAAAAAAAAAFIWGDRvKMAz9+OOPucadHcljYmJcY3a7XfHx8Vq3bl2edSpUqOD6PCIiItc2wzBkt9tda0jSqlWrdP755+ea5+zi7ivTNPMU3pvZ3dZyfQ3uWCyWXPMlyWaz5Xo8depUDR48WKtWrdIHH3ygKVOmaNmyZerbt2+hYi4O8rvKDwAAAABASLGbjqSAYUhmilWje6RKyswxI1NPDEulaB0AAAAAAAAAAAAAilClSpXUvXt3PfXUUzpx4oTHuW3atNGBAwcUHh6uhg0b5vqoXLmyV8dr1qyZoqKitGfPnjxr1KpVq1BfQ7NmzbRhw4ZcYxs3blTjxo0VFham5s2by26369NPP3W7f5UqVXTs2LFcX/+2bdvyzGvcuLHuvfderV69Wv369dOSJUsKFW9xQcd1AAAAAECx4HwzuiHHJ0/fKT1yy4eKvba3JOnY8o9U1vOb2gEAAAAAAAAAAAAA58Azzzyjyy67TG3bttXUqVPVokULWSwWbd68WT/++KMuuugiSVK3bt3Uvn179enTR3PnzlWTJk20f/9+Wa1W9enTR23bti3wWOXKldPYsWN17733ym63q2PHjkpLS9PGjRtVtmxZDRs2LN99Dx48mKegvHr16rrvvvt08cUXa8aMGRo4cKC++OILPfXUU3rmmWckSXXr1tWwYcN000036YknnlDLli31+++/6++//9Z1112nSy65RLGxsZowYYL++9//6quvvlJycrLrGKdOndL999+vAQMGqF69etq3b582b96s/v37+/7NLkYoXAcAAAAAFAtmjo7rTjk/d3ZkBwAAAAAAAAAAAIBS4fTpkD1OgwYNtHXrVs2ePVvjx4/Xvn37FBUVpWbNmmns2LEaPXq0JMkwDFmtVk2cOFE33XSTDh48qOrVq+uKK65QtWrVvD7ejBkzVLVqVc2ZM0e//fabKlSooDZt2mjChAke91u6dKmWLl2aa2zKlCmaOnWq3nzzTU2ePFkzZsxQfHy8pk+fruHDh7vmPfvss5owYYJGjx6tQ4cOqXbt2q7jnXfeeXrttdd0//336/nnn1e3bt00depUjRo1SpIUFhamQ4cOaejQofrrr79UuXJl9evXT9OmTfP6ay6ODNN09qwrHdLS0lS+fHkdPXpUcXFxRR0OQpjNZpPValVCQoIiIiKKOhz46uhRaelSqWJFqUyZoo4GAIASy2aaspqmEgxDEQZFwwiuqkN66ODRKP3vqbW6sPZxSVK6zVBU/0RJ0pE3PlD5MhlFGSIAAG7xmgkAAMAzXi8BCBknTkj//isNHiyVL1/U0QBALtQyAaXX6dOntWvXLtWrV0/R0dGOwVOnpPfec7x2OVcqVpSuuUaK4TbYpZHb52EWX2qz6bgOAAAAACgW7Pasjus5xiyWHNvpuA4AAAAAAAAAAACgNIiJcRSRp6efu2NGRlK0Dr9RuA4AAAAAKBactwvL2XjNUPZNxOz2cxsPAAAAAAAAAAAAABSZmBgKyVHsWAqeAgAAAABA0TOzatRzFq7n7Lhuio7rAAAAAAAAAAAAAACEKgrXAQAAAADFgrNw3WJkd1mf91r29io3dpeRlKD7nzvHgQEAAAAAAAAAAAAAgAKFF3UAAAAAAAB4w246Oqo7O64bSQnK/X5sx+ePrErUI6vsMlOs5zZAAAAAAAAAAAAAAACQLzquAwAAAACKBWfHdUOmm6L1s1my5gAAAAAAAAAAAABA8WeaZsGTgCCx2+0BWYeO6wAAAACAkDZpsTTzvQRJjlbrjW7rrOyidcPNHoYkU5JF9z8nzb/1XEQJAAAAAAAAAAAAAIEXEREhwzB08OBBValSRYbh7hopEBymaSo9PV0HDx6UxWJRZGSkX+tRuA4AAAAACFnZndVzJl/CvNlTkvTIqgTNv9UahMgAAAAAAAAAAAAAIPjCwsJUs2ZN7du3T7t37y7qcFBKxcbGqnbt2rJYPN0ZvWAUrgMAAAAAQlJ20bpfqwQiFAAAAAAAAAAAAAAoMmXLllWjRo1ks9mKOhSUQmFhYQoPDw9It38K1wEAAAAAIWfSYim7aN2fP35N/4MBAAAAAAAAAAAAgCIWFhamsDBv7k4NhC4K1wEAAAAAIWfmewkKRMH62N7WgMQDAAAAAAAAAAAAAAD84+891wEAAAAACIJAdFm3a/6tgYgFAAAAAAAAAAAAAAD4i8J1AAAAAEAIMgue4pFdZgrd1gEAAAAAAAAAAAAACBUUrgMAAAAAQs5D11jlKF73VMDu3J4pyZ41lqmxvVMpWgcAAAAAAABQaPc9KBlG7o/584s6KgAAAKD4o3AdAAAAABByZtwsZRejuyted445OqvXqXpakrRp/kbNvzX48QEAAAAAAAAomYzRo/TYorg84+PGOQrYAQAAABReSBWuf/bZZ7r66qtVo0YNGYahlStX5jv31ltvlWEYWrBgwTmLDwAAAABw7ji6pts9zLC7Oqs7rxeZnhq0AwAAAAAAAIAHxvXXqqBSGorXAQAAgMILqcL1EydOqGXLlnrqqac8zlu5cqW+/PJL1ahR4xxFBgAAAAAoCmaKVff1/jDHiF1Spqb2TXUVrUuSxeKoWDfFVSMAAAAAAAAAvrtvkZRdRuM5zzh/frCjAQAAAEqm8KIOIKdevXqpV69eHuf88ccfuvPOO/XRRx+pd+/e5ygyAAAAAEBRmXSj9Ogqx+en3v5A0ZF5u7A7LyPZPTVoBwAAAAAAAIB8PGZNUEEF607jxkn33x/ceAAAAICSKKQK1wtit9s1ZMgQ3X///brwwgu92ufMmTM6c+aM63FaWpokyWazyWazBSVOlAzO5wfPk2IqIyP7Hm2mWbSxAABQgtmyfs/a+H2LIEq3Zz+/MmS6fb4ZhvO5yPMRABB6eM0EAADgGa+XAIQGX+7maGr06AwtXBi0YAAgD2qZAAChypffTcWqcH3u3LkKDw/XXXfd5fU+c+bM0bRp0/KMr169WrGxsYEMDyXUmjVrijoEFFZ8vONfkpwAAATdGonfuQia4zmeWh+adkW4ea6dzLqmtNFu6ijPRQBAiOI1EwAAgGe8XgJQtHz5+WPo2Wct6tkzNWjRAEB+qGUCAISakydPej232BSuf/3111q4cKG++eYbGYb373IdP368xowZ43qclpamWrVqqUePHoqLiwtGqCghbDab1qxZo+7duysiIqKow4Gv0tKkt96SKlSQeJMKAABBYzNNrZHUXVKED6/TAV8cztHpKMFiKMLNU61sVsf1S2TRFTwXAQAhhtdMAAAAnvF6CUAouLvXKi384Gp533ndUEJCQjBDAoBcqGUCAISqtLQ0r+cWm8L19evX6++//1bt2rVdY5mZmbrvvvu0YMEC7d692+1+UVFRioqKyjMeERHBL3B4hedKMRUent2RgwQnAADBZZqKMAwuKiJownNcKIq0GAp381SzZI2FieciACBE8ZoJAADAM14vAShiCz/wtQjdoogIS1BiAQBPqGUCAIQaX34vFZvC9SFDhqhbt265xnr27KkhQ4ZoxIgRRRQVAAAAACDYzByF60Y+t+t1XtPmbuIAAAAAAAAAfDXgYUnyrQj9zjuDEgoAAABQooVU4frx48f166+/uh7v2rVL27Zt03nnnafatWurUqVKueZHRESoevXqatKkybkOFQAAAABQBPJrumYxHBXrFK4DAAAAAAAA8NU7GxMk+XbHh6eekp58MjjxAAAAACVVSN2zaMuWLWrdurVat24tSRozZoxat26tyZMnF3FkAAAAAICi4k0xurOg3W5yO3EAAAAAAAAAvipcXrFfvwCHAQAAAJRwIdVxvXPnzjJ9aI+3e/fu4AUDAAAAAAgJOf9MzK/junOYjusAAAAAAAAAfFe4xOKKFQEOAwAAACjhQqrjOgAAAAAAZ/OmcN1icUwyC9kZCQAAAAAAAEDp1b+DVY7idTpjAAAAAMFE4ToAAAAAIKQVVIz+xqfS9l1lJUk9p7STkZSggfPORWQAAAAAAAAASoK3H5Qke9YjitcBAACAYKFwHQAAAAAQ0pwd1w0j7wUjIylBgx9NlBSWNWKRFKY3NyTKSEo4VyECAAAAAAAAKObMFKuyi9e907dvcGIBAAAASioK1wEAAAAAIS27cD33uKMw3dOftRaK1wEAAAAAAAB4zXzjLV1SeY3X8999N4jBAAAAACUQhesAAAAAgJBmylGxbuS4Re8bn0rZf9IaefbJHrNo4LwgBgcAAAAAAACgREhPl2oPaawv/+nq1Xwz7w0iAQAAABSAwnUAAAAAQEhz13F98KMJchSnuytad3Jsf3MDXdcBAAAAAAAA5G/ckqaKGtBbezPaSArzOLdvX4rWAQAAgMKicB0AAAAAENLcFa57Llg/my9zAQAAAAAAAJQm45Y01fwVDeRNHnHOHOndd4MfEwAAAFBSUbgOAAAAAAhpZtYFI0NmrlFfVgAAAAAAAACAs6WnS/NX1M96VHDh+vjxjgYbVapIx48HNzYAAACgJKJwHQAAAAAQ0tx1XF96n1WOgnRPRemO7dd1tAYvOAAAAAAAAADF1jMf1JOjdMa3uzb+849UrpzUrl1QwgIAAABKLArXAQAAAADFQs7C9es7SZI965G74nXnmF3LxwU1LAAAAAAAAADF1M4/Y/3af/NmitcBAAAAX1C4DgAAAAAIaWY+TdXNFKuyi9fdsWfNAQAAAAAAAIC8GsSf9HuNzZul48cDEAwAAABQClC4DgAAAAAIac7CdXc36zVTrFp6X6qkTGUXsWfquo6pFK0DAAAAAAAA8Gh0r11y5BXz6Z7hpSFDAhIOAAAAUOJRuA4AAAAACGlmVsm6Ybi/eHR9J0cBe++2ByVJi//7nZaPO2fhAQAAAAAAACimIiOl+/v+lvWo8MXrO3cGJh4AAACgpKNwHQAAAAAQsoY9JjUY1VmSdPKMRUZSgpZ85H6us7Dd9K85EgAAAAAAAIBSZN6IH3R/353yp3C9QYPAxQMAAACUZBSuAwAAAABCkpGUoFfWJUoKyxqxSArTTU8nykhKyDvf0Zjd1aEdAAAAAAAAALwxb8QPOvP2Kkn7s0bsPu3/6qsBDwkAAAAokShcBwAAAACEHEdhuqc/WS15ited5ep0XAcAAAAAAADgq8hIaUr/w5Kk22+2yeJlRc3FF0tlywYxMAAAAKAECS/qAAAAAAAAyGnYY1J20bq77umGHLfttWjJR9KInlmjzo7rFK4DAAAAAAAAxU7PidLq7xKUo0WFvl1oVfN65y4GZ27RYpEyM6WwMMnuofn6xRdLX311bmIDAAAASgI6rgMAAAAAQsor65wXp9wVrTs5tt/0dHbXdcNwXFUyPe4HAAAAAAAAINQYSQla/V2ipDA5SlksksLU4u7EPHdeDCa76cgtWrJSjJmZ0m+/5Z1XubJ07BhF6wAAAICvKFwHAAAAAIQYXwrPjTyf0XEdAAAAAAAAKD4chemeylcs56x43Z6j47pTvXqOnOO8eY7Hw4ZJBw9KZcuek5AAAACAEoXCdQAAAABAiPGl8jx7rpFVuU7hOgAAAAAAAFA89JwoZZeuuGto4Ryz6LtdwY/Hbs/quO6mmsY5ZrcHPw4AAACgpKJwHQAAAAAQUoZ2tspRkO6pAt2x/aU7rK4RwzBdWwAAAAAAAACEvtXfJchRnO7pLoyO7S3vDl7X9a9/cXR+fzjlAknS48+Eq1ev3HMoXAcAAAD8F17UAQAAAAAAkNPLY6RX1tnleK+1qbwXrZyl6XaN6Jk96unSFgAAAAAAAIBQ5H1WzwxSBtBISpAjF5lz/TB9+KHjLo/OOzxSuA4AAAD4j47rAAAAAICQY6ZYJXm6AmTPmuNmX5MSdgAAAAAAAKB48OX+iYG/12J20bqHOUbufylcBwAAAAqPwnUAAAAAQEgyU6zq0fzzrEf2rI9MvXRHqtuideeFIzPw168AAAAAAAAABI03CT1TkkVvfBq4o379i5RdNuO5GUavXnRcBwAAAAKBwnUAAAAAQMiafIPj34bxJ2WmrJKZYtWInu7nGobjAhd16wAAAAAAAEDo86bbeY7ZkgwNfjQhYMdve1+Ca92CfPihtHCh4/O33nI00TAM6YsvAhYOAAAAUCpQuA4AAAAACFlm1kUjo+BrRzk6rnsxGQAAAAAAAECR+W6X5G2389wCmfvzba1ff8071qGDd7lLAAAAAA4UrgMAAAAAQpaZ1T7dq8L1s/YBAAAAAAAAEJpa3u19t/PcApn8C9xaFK8DAAAA3qFwHQAAAAAQslyF617MNQwz1z4AAAAAAAAAQpNZqIJ1U0vvswYshi2PWl3rBsIXXwRkGQAAAKBEo3AdAAAAABDynEXpnuc4/vX9ohcAAAAAAACAc8nwqVjcOdeu6zsFLoaLGjnWzH2MwuvQwe8lAAAAgBKPwnUAAAAAQMjypQjdOZOO6wAAAAAAAEBo277Q127ndpkpgeu27uRY017gPAAAAACBQeE6AAAAACBkOYvQDS/q110d1ylcBwAAAAAAAEJa83pSwd3OTUmZWnpfalCK1l1HSbFqy6OpkjKzRuySMnXVVUE7JAAAAFBqUbgOAAAAAAhZrsJ1L+YahmMydesAAAAAAABA6Cu427mjy/r1nYIfy0WNpAEd/pIkPTVwg8wjx/XBB1JCgvdrbNwYpOAAAACAEoTCdQAAAABAyMruuF5wObqzuN00vSlzBwAAAAAAAFDUzBSrvl2Yt9u5JJWL8VTUHoRYsv7NmV1ctcr7/du3D2Q0AAAAQMlE4ToAAAAAIOQZBdSif7dLemVtDUnSuOQLZCQlqOfEcxAYAAAAAAAAAL80r5ej2/mtO7Tz+XWSJPs5blDhbIhhOauJhunFLR69mQMAAACAwnUAAAAAQAgzVfDFKSMpQS3uTpQUljVikRSm1d8lykjy4V6+AAAAAAAAAIqEs0g9zGK6Csft9nNbuG533f0x7zbTlBLcpBo3bqRoHQAAAPAFhesAAAAAgJDlvOiT3yUqR2G6pz9tLRSvAwAAAAAAACHOWTRuMUxNe8Px+al0Q0ZSbxlJCZr7avBjyK/jutOqVZLV6vi8dWtH7rJ9++DHBQAAAJQkIVW4/tlnn+nqq69WjRo1ZBiGVq5c6dpms9n0wAMPqHnz5ipTpoxq1KihoUOHav/+/UUXMAAAAAAgqFyF624uFn23S8r+s9ZdabtzzKKeEwMfGwAAAAAAAAD/vPGpoznFyk3VJEm3PvMfJX/SNWurRc67Kz74VvDvruip47qTJSsdSZd1AAAAoHBCqnD9xIkTatmypZ566qk8206ePKlvvvlGkyZN0jfffKN3331XP//8s5KSkoogUgAAAADAueTuYlHLuxPkKE73dMtgx/bV39F1HQAAAAAAAAglRlKCBj+aKClM2eUrYR72CO7dFbPv/ph/VbqzcN1uD1oYAAAAQIkWXtQB5NSrVy/16tXL7bby5ctrzZo1ucaefPJJtWvXTnv27FHt2rXPRYgAAAAAgHPI9FCU7mlbXr7MBQAAAAAAABBMjgL0/Hot5nd3RVOSRXNflR4YEviYTNNxXIsl/8J1Z4MNOq4DAAAAhRNSHdd9dfToURmGoQoVKhR1KAAAAACAIMjucpSXp85HblYKRDgAAAAAAAAA/PTGp1J2uYqvzSkMPfhWcLqu2z3kIp3ouA4AAAD4J6Q6rvvi9OnTevDBBzV48GDFxcXlO+/MmTM6c+aM63FaWpokyWazyWazBT1OFF/O5wfPk2IqI4O3uwMAcA7Ysn7P2vh9iyBxPbcMM8/zbMuCVbronquzHuV3OcmxT/f/rJKNpykAoIjwmgkAAMAzXi8BpcvgR3vLvzskGkH5eeEsXLdbJFtGhuSmViAz05AULrvdlM2WEfAYAMATapkAAKHKl99NxbJw3WazadCgQbLb7XrmmWc8zp0zZ46mTZuWZ3z16tWKjY0NVogoQdasWVPUIaCw4uMd/5LkBAAg6NZI/M5FUHyd1bkoTZL17OdYXUmyy9GdyVTei13O+XbdMdOUlacoAKCI8ZoJAADAM14vAaWFP0XrkmTmzRUGwF92R1zfVigv64YNbuf873+VJHXUsWPHZbV+EvAYAMAb1DIBAELNyZMnvZ5b7ArXbTabrrvuOu3atUuffPKJx27rkjR+/HiNGTPG9TgtLU21atVSjx49CtwXpZvNZtOaNWvUvXt3RUREFHU48FVamvTWW1KFChJvUgEAIGhspqk1krpLijD8vdgA5GXJel5VMKQEN8+x9PdWKfKa3sq+tfDZ7Ep/b5X8vxgGAEDh8ZoJAADAM14vAaVNYYvOHfvNGrDKba6wsF7/WBrxRHYX+IULW+nAnrp6dXnempK4OMec2NiySkhICFgMAOANapkAAKEqLS3N67nFqnDdWbT+yy+/aO3atapUqVKB+0RFRSkqKirPeEREBL/A4RWeK8VUeHh2Rw4SnAAABJdpKsIwuKiIoAjLulhkGPlfuDZTrPpul9Ti7gQ5Li5ZJGWqR3OrPpolUbQOAAgJvGYCAADwjNdLQKmx9D6rBj+amPXI23M+++6KE4YG7ueEkZQgRz4x55phWr7iPC2PNPLcBGLOHMe/P/9sKDLSUUfw0kvSiBEBCwkACkQtEwAg1Pjyeym/lnRF4vjx49q2bZu2bdsmSdq1a5e2bdumPXv2KCMjQwMGDNCWLVv0+uuvKzMzUwcOHNCBAweUnp5etIEDAAAAAILC9V7EAuY1r+coYH+g/05J0r3X7M4qWgcAAAAAAAAQSq7vJEn2rEfuuq/n15HdLjPFGrA4sovWPcwxcn++Zk3eOTfdRC81AAAAwFshVbi+ZcsWtW7dWq1bt5YkjRkzRq1bt9bkyZO1b98+paSkaN++fWrVqpXi4+NdHxs3biziyAEAAAAAweC8RGUYvt0+2DS5UgQAAAAAAACEKkcBut3DjMwc2zP18LWpAS1af/VjKbtkxl0uMXvshhu8K0yneB0AAAAoWHhRB5BT586dZZ59n6UcPG0DAAAAAJQ8zgJ0by/6OKfx5yMAAAAAAAAQ2swUq974VBr8aIKkMDkK1U1d19Gq5eOkyH69ZcuQ9i35ROdXCuyxhy5MUMH3eXRYutT7dZcskUaMKFxMAAAAQGkQUh3XAQAAAABwx9tmRc4Cd+rWAQAAAAAAgNB3fSepWa2TkqS1szbJTHEUrUuSkZXls3tqzF5owWmPftNNQVkWAAAAKDEoXAcAAAAAhCxfO6dzO14AAAAAAACgeLFn5QAtRu5koCWrosUMSpE5rS8AAACAokDhOgAAAAAgZDkL1w3DtwtJvha8AwAAAAAAACgadtNRmH52Uwrnw2B0XH/lbqscxeskEgEAAIBzicJ1AAAAAEDIcnZT8raTurPA3TRpvQ4AAAAAAAAUB2a+HdfNXNsDaUhXSXJWxLs7QPbY0KHer/vSS34EBRRTffs6cvg5P1atKuqoAABAqKJwHQAAAAAQknpPkfrObiNJ+uLHCjKSEvTFD573oVwdAAAAAAAAKF7sdkdWz3JWBYuzmYU9SE0qzBSrsovX85ljSi+/7P2aI0b4FxNQnBw96jhPV67Muy0x0fuGNAAAoHShcB0AAAAAEHKMpARZtyZKCssasUgKU4cHEmUkJRS4fzC6MAEAAAAAAAAIPHtWLs84q/O5xQhex3UnM8WqV+5OlZTpjEZSpgb3S8t1XG9iICeJ0qRhQ6lChYLnUbwOAADORuE6AAAA4If5rzsKbI2k3lkfCbpvUVFHBRRvjsJ0T3+uWvItXncmwblGBAAAAAAAABQPpum+47qzcD1YHdedhnSVmtY6KUlaO2mdzGee1+svuYtTGjo07/hLL1G0jtKlYUNp507v569aFbxYAABA8UPhOgAAAFBIRlKCxi13doS2yNkR+jGrdx2hAeTVe4qU/aequwtSzjGLvvjBzVZXFybauAAAAAAAAAChbM4rjjz77r+jJUmXjO2gB553bHvyHenICcfdGJvc3llGUoLueCp4sdjtjnzi2V3fz/byy9KePY7Po6IcBesjRgQvLiDUHD3qW9G6JCUmBicWAABQPIUXdQAAAABAceRtR2gzxXquQgJKBOvWBLkvWM/Jsb3DA3nPMcrVAQAAAAAAgNCXnWPPmdEL07zURM1LtZ+1zZGLf2Z1op5ZbQ9K3t1Zrm54kWB0zrHbAx4GEPJ69y7qCAAAQHFHx3UAAADAR/Nfl7ztCH3fonMSElCC+FJ6nv9cbs0LAAAAAAAAhCZvGsN42haMO54684kWo+DEorNwnRwkSiPnHQd89eSTgY0DAAAUXxSuAwAAAD4at9zZEdpTga1j+2PWwCfQgZLNl6s9eee6LhoFJhgAAAAAAAAAATTnFcm7xjCem8bc8VRg43IWoXvTcd1iyb0PUJrUrl24/e66K7BxAACA4ovCdQAAAMAH/31a8u1ltC/dowEktLbKUXbu6aqPY/vGuXlvCWxkdUQyTc49AAAAAAAAINRMeNvbxjCethl6ZnVgm8Y484mGDx3X7faAhgAUC6tWFXUEAACguKNwHQAAAPDBUx85k+reouUK4ItV0yTJecXH3fnjHLOrfdO8WylXBwAAAAAAAEJZoDJ4gc0EOrOO3qzquusj6X+UQuXLSw0aFHUUAACgOKNwHQAAAPCJr0XrFl07N1ixACWTmWJVdvG6O/asOR7W4KIRAAAAAAAAEIIClbgLbALQmU80vLgEYMlRaUMeEqXRzp2F2+/++wMbBwAAKJ4oXAcAAAB84ksW2nHL0rc/D+wtS4HSwEyxqlHcd1mP7Fkfmdo4N9Vj0bqr21GwAwQAAAAAAADgs9kDrHJk7zxl8AraZmp0D8+NLXxlmo7EomEUnFnMWdxO4TpKG2/e3JGfRx4JXBwAAKD4onAdAAAA8MGdPb1Jqp8tsLcsBUqLewc7/u176V8yU1bJTLGqfVPP+3CbXgAAAAAAACB0jR8qZd9t0V0Sz/Rim11P3xnYuJwre5PNp3AdpdWGDUUdAQAAKAkoXAcAAAB88OQdUnZS3VtkroHCcF0s8uG9HwbnGwAAAAAAABDSHHdU9JRn97zN0x0ZC8tud3ZcL3guhesorS6/vKgjAAAAJQGF6wAAAICPspPqBWWkHZ3ZB1wW+CQ6UBr4cnve/PYFAAAAAAAAEHrMFKtmD0jNMWKXlKlxiakyU6x6YliqpExlF7FnanSP1KAUrUs5O64XnIu05Ki0oXAd8N7YsUUdAQAACAUUrgMAAACF0PfSnB1hPN+y9K0Hzk1MQEnjvOjjSwm6s9sRF4wAAAAAAACA0PbgkOzP/351jcwUq+aOcjz+b39HcXvr+sckSR9M2ayn7wxeLK5cpI8d1+2+3qAVKMUeeaSoIwAAAKGAwnUAAADAR0ZSglZsSpQU5hzJZ2ZwblkKlDbeXCwqzFwAAAAAAAAARSdn84n88nrOuzHag3yHRV8K12fMyP48Otqxz7RpwYkLCCXr1/u/xsCB/q8BAACKNwrXAQAAAB8YSQnK/2W0M8ueqQGXBe+WpUBp4U/TdBquAwAAAAAAAKEtZzG6kU9Gz3KO7rBoZjWoyS8OJ8OQHn007/jUqTTVQMnXsaP/a7z5pv9rAACA4o3CdQAAAMBL/WZL2S+h3WWgnWMWvf15b118dyVlZp6T0IASycy6cOXsquQN51wzyB2YAAAAAAAAAPgnZzG6JZ/qlVDquO5NYTrF6yjpgv0mEgAAUPJRuA4AAAB4acWmBDmK0wvKPBuSLNqyq4PC+ybq3Y3Vgx8cUAL5cnteJ+dUkucAAAAAAABAaMuZwyvyjusF5CInTfJ+rWnT/I8HCGWmKa1fX9RRAACA4orCdQAAAMBrhWuV0v/hthSvA4Xguljkwz50NAIAAAAAAACKh5xd1Iuq4/qslyUjKUF/HYmUJLV6sLvGv1k5z7yZM71fc+rUAAUHhLCOHaVevRyfjxzp/X7XXReceAAAQPFB4ToAAADgtcK0dHEk0wc/eqEyMwMbDVBaOC9O+YKG6wAAAAAAAEBoK+qO60ZSgh56J1FSmLLLZ8L08LoBMiqUDfwBgRLGbnf8e/nl3u+zfHlwYgEAAMUHhesAAACAl/peapWjHNbXDLmhM7ZYrf++UhCiAkousxB3OXAWuZtB6sAEAAAAAAAAIDBy5v/yu5OiczzQHdeNpAR5LpmxcHdHoADOwnWLxbs3lwTjDSgAAKD4CUjh+vr163XjjTeqffv2+uOPPyRJr776qjZs2BCI5QEAAICQ8O4EScrKwhWin/Ofh6MCGQ5Q4jmT2L5cIHJOJQEOAAAAAAAAhDZn0avkKHx1x+JqVBG44856Wcoul3GXfMweGz/e8e9DD3m//tSphYsLKG5yFq5LjvN06VL3c9u2FXcmBgAAkgJQuP7OO++oZ8+eiomJ0datW3XmzBlJ0rFjxzR79my/AwQAAABCiZliVXbxum/izzsT2GCAEs5VuO7DPgted/z7+qc1ZCT1lpGUoO92BTw0AAAAAAAAAH7KWYxuuGkWs2qztP77CpKka+e2kZGUoL6z/D/uQ+8kyJF19JR5dGx7+GHHoxkzvF9/ypTCRgYUL85zOOcbTwYPdj93yxYpPFx6993gxwUAAEKb34XrM2fO1KJFi/TCCy8oIiLCNd6hQwd98803/i4PAAAAhBwzxao28Vudj1Rw93VTUREndXmzQ0GODChZnGeWtx3XjaQE7UtvlvXIkvURphZ3J2bd+hcAAAAAAABAqLCb2Ym/s3OARlKCEmckSgrLGnHk+lZ+GYhcny+tMrJ50/WdO0GiNDm747o3ufz+/SleBwCgtPO7cP2nn37SFVdckWc8Li5OR44c8Xd5AAAAICTdM8iZfXN2X88vG+0YX3rfDoWF5TMFgEeGUfDVHsfFKk9/4looXgcAAAAAAABCxO1PShWu7+F6HDPgKj29wvF58HN9ha8uN03poYfyjk+dStE6So/Fix1F6uvWOR4PHChdfbX3+w8eLGVmBiU0AABQDPhduB4fH69ff/01z/iGDRtUv359f5cHAAAAQpKzi8RVbQ4pu3jdvXce3KJ+HQ4EPyighDFN7zof9ZwoZf95624f55hF3+3yPy4AAAAAAAAAhWckJWjRmpzd1CUpTHcuSTyraN1zrq/vrMIdf2Z/qwq+m6pj24MP5t0yY4ajSL1CBcfjH3+UpkwpXCxAcWMY0siRecdTU71f48wZaf36wMUEAACKF78L12+99Vbdfffd+vLLL2UYhvbv36/XX39dY8eO1ejRowMRIwAAABBynLcwtVhMmSlW7XgyVVKmsovY7Wpbb6MyVqRStA4UkrNDUUHl66u/S8ia5WmmY3vLu+m6DgAAAAAAABQVb7qpe5vrW/ll4XJ9E4dJnu+mmj02Z07+61iyvgw6raO0MLzrNeOVP/8M3FoAAKB4Cfd3gXHjxuno0aPq0qWLTp8+rSuuuEJRUVEaO3as7rzzzkDECAAAAISM4yekcte3lVRVkmTdUkWWpKu087kPZaZYNX1ZI01ZeoFuvWqPFo0+VLTBAsWc83pPwclw77Plpg9zAQAAAAAAAATO7U9KBXdT96UKvPC5PjPFWkARvV2mGZbPtqyjZx3e7vmmrECJsHhxYNeLjw/segAAoPjwq+N6ZmamPv30U9133336559/9NVXX2nTpk06ePCgZsyYEagYAQAAgJDQbkxHlbs+UVK8sm9hapGpCNW/NVFh1yTIkpWoNk2KYwF/Oc8jwyjoYpX3F7MMny58AQAAAAAAAAiURWu8vXOit/zL9ZkpVk3vl5pjxC4pUw92flvmkeMF7k/HdZQmI0cGbq2oKOnyywO3HgAAKF786rgeFhamnj176ocfftB5552ntm3bBiouAAAAIKS0G9NRm3+t4HGO3bRo8uuNsj4/B0EBpURBl6p6NLdq9XeJBcx2nJTbF1oDFRYAAAAAAAAAn/halO4519fnEv9zfeOHGJr8ruPzQ6+v1nmWI9K//3q1Lx3XgcJZulQK83xDAwAAUIL51XFdkpo3b67ffvstELEAAAAAIen4CeUoWs8vUe4YN7NeYtvtdFwH/OVtp6KPZkmObkiS+y5LzjG7mtfzOywAAAAAAAAAheJrxxfPub4VE/0MR7lzkIaPaX3DdQdW/+MASot33pH69SvqKAAAQFHyu3B91qxZGjt2rFJTU/Xnn38qLS0t1wcAAABQ3A1Z0FYF375UueaQqAb85zyPvLlgZKZYlV287o49aw4AAAAAAACAonBbd6scheeeEujO7ecm15czl28xfEvsWyx51wBKqhdf9H5uYmLesbZtpYwMitYBAEAACtevuuoqbd++XUlJSapZs6YqVqyoihUrqkKFCqpYsaJPa3322We6+uqrVaNGDRmGoZUrV+babpqmpk6dqho1aigmJkadO3fWjh07/P0SAAAAAI92Hoj1eR+7Scd1wF9m1htBDC8vGJkpVvVoniopM2vELilT3y5MpWgdAAAAAAAAKGLP/lfy9s6JZopVqZOcuT7nPpnqc0lgc305c/mF7bhu91RjD5QQN9/s/dz333e8oWPqVMfj22+XNm+WwsKCEhoAAChmwv1dYO3atYGIQ5J04sQJtWzZUiNGjFD//v3zbJ83b54ee+wxJScnq3Hjxpo5c6a6d++un376SeXKlQtYHAAAAEBODaqf1He/l/dpHzsdVgC/+dJx3emjWdLST7frhkfbqFvLQ1ozY1NwggMAAAAAAADgMzPFKiMpQfn3Wczupt77Ysf84Qta6eVPamne8J90f4C7Nefslm547ASfFx3XUdqYZsH5+lx3Mcg6R3hzBwAAyMnvwvVOnToFIg5JUq9evdSrVy+320zT1IIFCzRx4kT1y7pvzMsvv6xq1app6dKluvXWWwMWBwAAAJDTq/dsUbnrnfc19JSRM11zXl17vl5de74kU1sft6pVg+DGCJRkhb1/AdeLAAAAAAAAgNBjpljVd1Y5rfyys3J2YH9qhFV39M0733lHxmA0jDF1Vsd1H45Bx3WURqYpLV4sjRyZe3z4cGnJktxjFK4DAAB3/C5cl6QjR45o8eLF+uGHH2QYhpo1a6abbrpJ5cv71pXSk127dunAgQPq0aOHaywqKkqdOnXSxo0b8y1cP3PmjM6cOeN6nJaWJkmy2Wyy2WwBiw8lj/P5wfOkmMrIyM4U8BZ3AICfomKltg2PaMuvFeTIWrsroz379012t5jW9yZKsiv9vVVBi7Go2LJ+z9r4fYsgyMh6Wtll+vQcy1T2hSyemwCAUMBrJgAAAM94vQSUPpMGm1r5pVS1vE37XvnINW5z92Mgq3A9wx74nxPpOarhM2TKJjmuM2dkSB5qBRYvlvbuDZdk6OKL7ZJMDRtm1wsvBDQ8ICQNHSpNnx6uPXsMbdyYobZts36Pn3XKmKZFUpgyMuyy2TLPfaAlELVMAIBQ5cvvJr8L17ds2aKePXsqJiZG7dq1k2maeuyxxzRr1iytXr1abdq08fcQkqQDBw5IkqpVq5ZrvFq1avr999/z3W/OnDmaNm1anvHVq1crNjY2ILGhZFuzZk1Rh4DCio93/EuSEwAQAA898pnGjr1cv/5asZArWBR5TW+tXJka0LhCxRqJ37kImAMHpNtuS5AUJklavLq2lm+M1PPPb5Y3f8Ztzypc/8eUrDwvAQAhhNdMAAAAnvF6CSg9dmed6umGWWAOb1/Wvz/YA5/vO5WjcH21TEXFxEgxMdKGDfnu06dPohzNa5xNbhyNbF5+2aKXX7aX2OsAQE4nT3aXFKuNGz/X338fcTvnl18aSrpQe/bsldW67RxGV/JRywQACDUnT570eq7fhev33nuvkpKS9MILLyg83LFcRkaGRo4cqXvuuUefffaZv4fIxTByd7c0TTPPWE7jx4/XmDFjXI/T0tJUq1Yt9ejRQ3FxcQGNDSWLzWbTmjVr1L17d0VERBR1OPBVWpr01ltShQryqroJAAAvJDy6QcdPSOcN7iKpnLJvYZqp7JfW7l6bOu8valGN3wy1ahD8WM8Vm2lqjaTukiI8vC4HvBXdp7fsZs6LPpJk0fHjNTR4cJLaNjyijY+u97jG8axdK0lK4HkJAAgBvGYCAADwjNdLQOmzPSv/F2MUnMN73+IoLm8sI+D5vmM58pBXGVLMqVPSkSPStddKbmpKIiMtynnH1bws6tMnUenpdg9zgOIvOtpxXezyyzuodWv3c26/3XGufPxxLX38cS1Jpr76yq5Wrc5NjCURtUwAgFCVlpbm9dyAdFzPWbQuSeHh4Ro3bpzatm3r7/Iu1atXl+TovB7v7KIs6e+//87ThT2nqKgoRUVF5RmPiIjgFzi8wnOlmAoPz+7IQYITABBAFctKE649oNlvldPdV+/Wglt2yEhKkPuC9Zwc29uN6S0zxRr0OM8p01SEYXBREX4LuyYhq2g9f1t+raDL7rtcXz2Wf8ejcNdzkeclACCE8JoJAADAM14vAaVKmOk41w3DLPC8D8vabpiB/xkRbmTnIyMthiIy5bjOHB4unVUn8MILBa3mjC1Mt90WpsWLAxkpEFrsWe/NcNTU5N2e+1TNPs/atXPcaZUbrPiHWiYAQKjx5feS54oAL8TFxWnPnj15xvfu3aty5cr5u7xLvXr1VL169Vy3OklPT9enn36qDh06BOw4AAAAQEGcybjspJsviXIuvAHu7PpTOYrW8ztPHOObf62g4yfyX8swHBlvEt8AAAAAAABAaDLlLFwveK7Fme8LRhw5Fi0ollGjvF/3pZcKFw9QXHjqI+jNec371AAAKL38LlwfOHCgbr75Zi1fvlx79+7Vvn37tGzZMo0cOVLXX3+9T2sdP35c27Zt07Zt2yRJu3bt0rZt27Rnzx4ZhqF77rlHs2fP1ooVK/S///1Pw4cPV2xsrAYPHuzvlwEAAAB4zZnHdibLfUuXU0kLuNPszqvkKEz35u4FhoYsyP8OX+S7AQAAAAAAgNDmy82znXPs9sBn/nIVrpO/B7zmPHcsZ1WeXXWV92tklYcBAIBSJtzfBR555BEZhqGhQ4cqIyNDkqPl++23366HH37Yp7W2bNmiLl26uB6PGTNGkjRs2DAlJydr3LhxOnXqlEaPHq1///1Xl1xyiVavXh3Qzu4AAABAQZzJcWeyvGcLqz76NjFra36Jc0cGb+vj1uAGBxRTZ2xhPs3feSC2wDmmSQk7AAAAAAAAEIpchetezA1qx/UcEdABGvBe3rsTO3z0kfdrtG7NnVMBACiN/C5cj4yM1MKFCzVnzhzt3LlTpmmqYcOGio0tuIjgbJ07d5bp4RWJYRiaOnWqpk6d6kfEAAAAgH/O7rj+4UzJSLLLcUMjU3lT7c497GrV4JyECBQ7URGZOm3z/qZgDaqfzHebM1FOwhsAAAAAAAAITc7UnWF4TuLt+Ut62lpbkjR9WSNNX9ZIcdH/as/ijSofgB6HuTquF1C4/vzz0qhR3q17002FjwkoDny5awIAAEBO3lcF5OPo0aM6fPiwYmNj1bx5c7Vo0UKxsbE6fPiw0tLSAhEjAAAAEFLO7rguSWaKVZLd015ZcwC48/1TH8pxuaqganPHnFfv2ZLvDFfheoBiAwAAAAAAABBYzrslWjwUvUb0SVCdWxIlOe/WaJFkUdrpSqpwQ6IajuoSgDiyPzcKyCjecov36y5eXMiAgGKCwnUAAFBYfheuDxo0SMuWLcsz/uabb2rQoEH+Lg8AAACEnPw6wZgpVvVskSopM2vELilTWx9PpWgdKEC9eMliON/8kd8FIsf4xQ2PqGyZ/Ncq6AITAAAAAAAAgKJlz0oF5tdxPaJPgjLsnktadh4o43fxupnjDqreFOB6c5dH7gSJ0sD5PLecdZr27On9Glu3Bi4eAABQfPhduP7ll1+qS5e8fwh07txZX375pb/LAwAAACHHUyeYD2dKbz3gyLR1bPavzBSrWjU4l9EBxVfme9YcxevuXdzwiL56bINX6znPVQAAAAAAAAChxVkw7q5YfM9fylG0nl+OzzG+80AZHT3mRxw5O657mU40Ten55/OO33QTResoPbLffJJ7/MMPvV+jVauAhQMAAIoRvwvXz5w5o4yMjDzjNptNp06d8nd5AAAAIOTYC7j9oXOcolnAd5nvWfXbc2ffucCuymX/1LE3Ur0qWs8+B4MVJQAAAAAAAAB/OHN37rLoF/63Z9aWgnLsjjm9Z3YoVAy3PiFVHdLN9dhyTYKeTQ3zat9bbnF8DVdc4Xj85pvS4sWFCgMolkwP18q4MwEAAPDE78L1iy++WM+7eSvpokWLdNFFF/m7PAAAABAyNuyQjKQEPfF+XUnS7LfqK3Fq3nmWrFubknQDCqdevHTbVXslSVOv/0VmyiodXLpFZct4t7+3nZEAAAAAAAAAFI3sote8ifSTZ8J9WmvPwRifj28kJej5/0uUlLNQPUyjXx8gY/Qor9exZFXdcD0ApcWUKY4c/JEjjscXXOAYO5tpSj175h3fupXzBQCA0s63V/tuzJo1S926ddP27dvVtWtXSdLHH3+szZs3a/Xq1X4HCAAAAIQCIylBjvd95qyIDdOqbxJlJNllpliz5zq7PZ/LAIESxnn+uLtw5esaAAAAAAAAAEKLmZVrd9eEIjYqQ8dPR3q9Vu0qp3w6dna+Pz8WGRXKelVc64zfbvcpBKBYyq9pzPTpjo+zz5kPP3TcjWDgQMfdCT79NPgxAgCA0Od3x/XLLrtMX3zxhWrVqqU333xT77//vho2bKhvv/1Wl19+eSBiBAAAAIqUV0nspITs+aLjOuAv08y6cFWIfTkHAQAAAAAAgNCW3XE977YdT34kR1uKghJ8jjmrHtro9XFvfULKzve7yz46xyx69tmC13N2XKdwHSWdN3c6dTfH1eyJfD0AAMjid+G6JLVq1Uqvv/66duzYoS1btuill15So0aNArE0AAAAUKQ27JC8TWInTs0acXZYMQtTcgsgJ2+S4fntY3IOAgAAAAAAACGnz0zpivGXSpJ+/iNWRlKCPvw6e3vtalK4xVkJnl+1q2O8QfUTKl/O+2M//38JcuT1PeUOHdtHjy54PYpyURpMmVL4uc43d3COAAAAp0IXrtvtdmVkZOQa++uvvzRt2jSNGzdOGzZs8Ds4AAAAoKhdPt77JPaqbxxd10lUA/7z5/wpTLE7AAAAAAAAgOAzkhL03leJksKyRiySwtRrWmKuO5vaVlpzFK+716D6Cf36/FpfI/Bxvmd0XEdpMH164edyzQwAAJwtvLA73nzzzYqIiNDzzz8vSTp27JguvvhinT59WvHx8Xr88cf13nvvKSEhoYCVAAAAgFDmSxLbMddiOLJvdHsGCs+Zw/anCJ08OAAAAAAAABA6HIXpnvorWmQkJchMsUpyFK/v+Uuqc0tPOcpbLJLsiov+V3sWb/Sp03q2wGYNKcoFPHPdpZg3dwAAgCyF7rj++eefa8CAAa7Hr7zyijIyMvTLL79o+/btGjNmjObPnx+QIAEAAICi40u22THXlagOfDBAqeG80GMU4kwyXG8eCWREAAAAAAAAAAqrz0wpu0TFXbcK55hFH36dPVq7mmSmfKR5w3+UJA3t8oeOvlnYonVpVDerHNl7T8lDx/Znnil4PTquA545zxHy9QAAwKnQhet//PGHGjVq5Hr88ccfq3///ipfvrwkadiwYdqxY4f/EQIAAABFaP0c75PYvds4usDQYQXwn/OOBYXpuM69DgAAAAAAAIDQ8t5XCXJk7jxl7xzbe01LyLslq1mF3c87nT53lyQ5q8zdJfGdY3bdfrvntTZskD74wPH5iBGOXGZiol/hASFp8uTCz+WaGQAAOFuhC9ejo6N16tQp1+NNmzbp0ksvzbX9+PHj/kUHAAAAFLGOF0reJrFTpzo+c3aINv1MoAOlmavjuh+nEecgAAAAAAAAECp8ydXlnWsJYPGrmWJVdt7fHbvMI57rXQxDuvzyvOOrVvmX0wRC0bRphZ9L4ToAADhboQvXW7ZsqVdffVWStH79ev3111+68sorXdt37typGjVq+B8hAAAAUMS8SmKnWF2PXLcGJQkHFJrz9HF2UvKFKxEeuHAAAAAAAAAA+MWXbF3euYHO+ZkpVl3ddn3WI3vWR6aeueFtmc8873FfbwrTKV5HSeNN4bm7Oa5rZp4uswEAgFKl0IXrkyZN0oIFC9SgQQP17NlTw4cPV3x8vGv7ihUrdNlllwUkSAAAAKComSlWrZ+TKikza8SRxO7dJjVX0bqUs+P6OQ0RKFGc3dILc32HDi4AAAAAAABAaLmmnVWOsnNPSTvH9g+mWPNsCUbefcpgx7/nVzojM2WVzBSrbk/M9LjPhg3er5+Y6EdwQAgyTWncuLzjkyfnf26SrwcAAGcLL+yOXbp00ddff601a9aoevXquvbaa3Ntb9Wqldq1a+d3gAAAAECo6HihlNTuoFK+qq7n7/hOt/Tc43ZedhKOlipAYTmT2IXpTGTQax0AAAAAAAAIKSsfkowkuxz9FU3lbVnhzOnZddVFefd35gntAcy7FyYHefnl3s9dtcq3eIDiYMIEad48x+enT0tRUZ7nU7gOAADOVujCdUlq1qyZmjVr5nbbqFGj/FkaAAAACEnOvJqnRPbspY5/v/u9rIyk3pJMvXK3VUO6Bjs6oOTIPtcKn83mzSMAAAAAAABA6DBTrDKSEuQoXnfHnucOp04WS+A7rrtykIFbEijxcp6D3rzpg8J1AABwtvz+GgAAAADghqsDSz4dnY2kBK398dKsR5asjzANXZiYlZAH4A1n0XlhLhqRCAcAAAAAAABCk5liVevqW7Me2bM+MvXBlNR8i9al7DxhIJtVuHKQfjTPAEqbnHl3ixdVZ845dntw4gEAAMUPhesAAACAD5yJbHfJOM+dYiTJQvE64KXC3KbXqTD7AAAAAAAAADg3xlzv+Ldby0MyU1bJTLHqqos87xOMZhXOQlqLD/nE9eu9n9u7t2/xAMVBzgJ0b3Lxs2c7/t2+3THfMKTXXw9ObAAAoHigcB0AAADwgd1VTJs7O37DI1L2y2t3mTrnmEWvfhyc2ICSxHWbXj+K0OmTBAAAAAAAAIQeU85O597v48zJ2wPZcV2+d1zv2NH79VNTfY0ICH053zxS0DlsGNKnn+Ydv/FGGtAAAFCaUbgOAAAA+MB169Czxpd+lpA16inT5tg+dCFd14GCuDquF6L83LlPILsvAQAAAAAAAAgMM58GMZ5YgtBxvbB3ffQmBnKTKKm8LVz35ryieB0AgNIpYIXr6enp2rdvn/bs2ZPrAwAAAChJ8k9k+5JdIxMHFMT1JpFCnC6zXnP8++3ucjKSestIStAbbrq6AAAAAAAAADj3sptWeM+ZJwxkPXhh4si57/r1ecd796ZoHSWb3Z79eX75++uv936911/3Lx4AAFD8+F24/ssvv+jyyy9XTEyM6tSpo3r16qlevXqqW7eu6tWrF4gYAQAAgJDhzDfnTcb5kokmaw0UJP9zzTMjKUGf/nJp1iNL1keYBj+aKCOJux0AAAAAAAAARc2Z+7NYvM+VZ99lMXCNYUw5m2cULmffsaOjSP3OOx2PH3pISk0NVHRAaPLmTgXLlnm/3o03+hcPAAAofsL9XWD48OEKDw9Xamqq4uPjZXAfFwAAAJRgri7QZxWfD77CqqWfJWY9yu81sWOfV+62Bik6oOQozO2CHYXpnt6fbZGRlCAzhXMQAAAAAAAAKCp2u+93W3R1XA9gXxhvCnC9YbHkXg8oyQJ13gAAgNLL78L1bdu26euvv9YFF1wQiHgAAACAkJZfQu71sdLSz+xyFM2aylu87sxY2zWka1BDBEqE7DeJeGfgPCm7aN3dXoYc56FFb3wqXd/J3wgBAAAAAAAAFIYrz+7DPo8vdeyU8lVVGUm9JZlaN8uqTs39j8MSoMJ1u92/dYDiwHXeeOohAwAA4IHfLyOaNWumf/75JxCxAAAAACHPdQtTN12gHV2cPWWm7XR6BgqQ8qWjc/pbn1eXJP33+WbqN7vg/d7ckCDHpS5PV5kc2wc/mhCASAEAAAAAAAAUhilnx3XvWpQbSQn64d+WWY8sWR9h6jwxMesujIVjN32LI9/4slKSFK6jNHA+zz11XB80yPv1XnvNv3gAAEDx43fh+ty5czVu3DitW7dOhw4dUlpaWq4PAAAAoCQp6BamZopVg69IlZTp3ENSpl65O5WidaAARlKCrpmVKClM2X+uhmnFJm8uQPnSFol7mAIAAAAAAABFJb87m7rjyAt6Km2xFLp43Zc4PHF2njb9q38HigVvzps33vB+vRtu8C8eAABQ/IT7u0C3bt0kSV27ds01bpqmDMNQZmamu90AAACAYsmZd/aUkHt9rDRp0GdqOrqLKpbN0OGlH52T2IDizNsLUPm/AcSXq0JcQQIAAAAAAACKirPw1VJAwfjV06TsnKG7yYYcuT6LPv1O6tS8cHH42+bCWbhOx3WUBq7zt4BWqaZZ8JtCeLMHAAClk9+F62vXrg1EHAAAAECxkN1JwnM2zcgqjCXpBhQs5UvJ2wtQ/WZL707IO+O6jla9uSHRwxqSs2B96X3c/QAAAAAAAAAoKnbTeWdTzwn01K8TVHBZuWN754meml64Z8q7OAriLM6lcB0l3YgRUnKy4/PTpx3P/RdflG6+2f1805Suv15atiz3+Guv0WkdAIDSzO/C9U6dOgUiDgAAAKBYMJ0J9QLmORPVpt+9WoCS75pZ3l+AWrEpQVLeC1DLx0lvbrDLUQBvulnPefHJruv5MxYAAAAAAAAoMt53Ovclv+5bLv6aGVLK5naSpB17yspIStDqaVZ1b+zTMpKyO0/TyAYlWX7d00eOdHzk9/x/4w1p0iTpwgul886TDh0KXowAAKB4KODGLd45cuSIHn30UY0cOVK33HKLHn/8cR09ejQQSwMAAAAhYfEHkpGUoM92VJQkXTevtUY8nv98V+E6iWrAC4G5AOXoqOSprZHd565LAAAAAAAAAALLmTbPrxA270xfVi2YkZSglM2JksKyRiySwtRjSqKM66/14ZjS0aPSww87Pn/8ccfXFBYm7dnj0zJASCv4XPU8hzd3AACAnPwuXN+yZYsaNGigxx9/XIcPH9Y///yjxx57TA0aNNA333wTiBgBAACAImUkJWjks84ktvMldJiS1ybKSEpwu48l69aiJOEAbwTuApSZYtV1HVMlZWaN2CVlaul9qRStAwAAAAAAACHAdWdTw3OuL/Eiqxz5QE/zHNvXzfIu9+fI6XsqlbHIGD3Kq7UaNpQqVMg7brdLdepIERFeLQOEtBEjvJ+7eLH7cZo9AQCAnPwuXL/33nuVlJSk3bt3691339WKFSu0a9cuJSYm6p577glAiAAAAEDR8SqJ7aZ43ZmEs5u+3Z4UKI3em+j9Bai+lxZ8AWr5OOnbJ9ZLkqqUt8lMser6ToGIFAAAAAAAAEBhHT4qGUlX6M7nmkmS3tlYXeHX9NAfB93Pf3+KlH2HRXe5Q+eYXZ2aF3z8a2ZI2fl+d7l755hFa9Z4XqthQ2nnTs9zMjIoXkfxl5zs/dyRI92PU7gOAAByCkjH9QceeEDh4eGusfDwcI0bN05btmzxd3kAAACgyCz+QPI2iT3i8bO30HEd8FbSJZK3F6DeneDdmiTCAQAAAAAAgNBRfWg3VRqSKKm8HHc3lSSLMs0o1bw5UVH9erndz3EXRbvbbQ52r++0mLI5QY68vqeGM47tPa4tm++Mo0cLLlp3ysiQ9uzxbi5QUpGvBwAAOflduB4XF6c9bl5l7927V+XKlfN3eQAAAKDIjHzW+yR28trcXdezk3B0XAe8EcgLUFL2bYY5BwEAAAAAAICiVX1oN/11JNrjnPSMMI/F64kXpUrKzBqxS8rUulmpPuUMPef6vZ/bu7cPy0i68ELf5gMlDYXrAAAgJ78L1wcOHKibb75Zy5cv1969e7Vv3z4tW7ZMI0eO1PXXXx+IGAEAAIAiUvgktisJF7hggBLPTLHqvYl5L0D1vdTXC1C+nb0AAAAAAAAAguPwUeUoWs8va+cYT88I0x8H3c94f4r04dTNkqRW9Y7JTLGqU3Nfo/ElY5//XF87qJ886dt8IJQMH+793BdfdD9O4ToAAMjJ78L1Rx55RP369dPQoUNVt25d1alTR8OHD9eAAQM0d+7cQMSYS0ZGhh566CHVq1dPMTExql+/vqZPny673VNnPgAAAKAwCp/EJgkHFE7SJVKHC45Kkt558GuZKVa9O8H3dXjzCAAAAAAAAFD0Ok28QgXf2VSuOc3v6pH/DD9zfkkXW7P29rSCY/vqt47nO6N2bd+OGxvr23wglCxZ4v3cm292P841MwAAkJPfheuRkZFauHCh/v33X23btk1bt27V4cOH9fjjjysqKioQMeYyd+5cLVq0SE899ZR++OEHzZs3T/Pnz9eTTz4Z8GMBAACgdHvxdu+T2MO75O4GbWTtQxIO8J3ztDEC0DadcxAAAAAAAAAoOvv/jS54Ug7HTofnu83fvPt7kyTHXR4l93l/55hd3bvnv86qVb4dd8cO3+YDocabc87THArXAQBATn4XrjvFxsaqefPmatGihWKD+HbRL774Qtdcc4169+6tunXrasCAAerRo4e2bNkStGMCAACgdLq5l+RtEnvJvbm3ZHd+CUDlLVDKOJPXFqPwWWwS4QAAAAAAAEDRq1HxtE/zy0Vn5LstO+dX+Ly7mWJVdt7fHbvMZ573uEb58lKDBt4dLzzc9w7tQCgyTamHmxsivPhiwXl48vUAACCn/N+q6kG/fv2UnJysuLg49evXz+Pcd999t1CB5adjx45atGiRfv75ZzVu3Fjbt2/Xhg0btGDBgoAeBwAAAJAcSWwjKUH5v+fTnpXozo0kHFB4zgtP/nRcd3Vf4s0jAAAAAAAAQJH5dNZnqjQkMeuRp1ydI5/33ROr852R3TDGP2aKVS1urqnvDrZWzuY1q6dZ1b3xCenfgtf49VepYUNp587854SHSzabn8ECIWTiRGn1aqlJE+nHH73fj2tmAAAgp0IVrpcvX15G1quKuP9n777DpKjStwE/1TMDCCqsLop5TbuuihFxZXXBhNAz9ABGRESQIEEkiASJkkGQIJIkiaIucYaZBsGEYgJZAyv+XNOnuyrKygIKwoSu74/TNd0znc6p0N3V/dzXhU5Xn64601Pxrbfec/zxVT8nw5AhQ3DgwAFccMEFyMnJQWVlJSZMmIAOHTpEbX/06FEcPXq06vXBgwcBAOXl5SjnFQLFYawfXE9cqqKCVz9ERGSbsqJSLN0I9JyfDyAHIpCto1OLUiweAJRHOdRU6CLYretAeQYfi4zfLZN/R0q+QHB1qoRuet2qCLt9xfWTiIhSjedMRERERPHxfIkocx13PHBygyP4cX8diJTzaPklYtuvlVuJk36vR425A0AgmGQesCHu/lAHoNtsoNWVe1E86r2q6eWHIe4zV1QkzDr/9FPgwAGgYUMPxO/lARCAx6PjX/8K4MwzmbhOmaW8XININdNRXh57dISaKioAIA+6rvY5isRcJiIiSlcqxyZTietLly6t+nnZsmVmZmHaiy++iGeffRYrV67ERRddhA8//BD9+/fHqaeeis6dO0e0nzRpEsaOHRsxffPmzahbt24yukwut2XLllR3gcw65RTxfwY5iYjIBie3Ak5edwQ//lgPkydvwwUXiJIr/hiHmX1h1Z79WXAs2gLwmEu22R/8/07o8Jhcr76HccMbWbENEhGRO/CciYiIiCg+ni8RZaYFyzbjvvtaYv/+OjHb5OZW4u+rS2PG3AFgVzDmdzBgPe7+UfDje6FXn9cxx4h/27ZJz2v9emDLljMxd+7laNLkJ4wY8R7++U/gn/+01EWitLNr1+8B/BWHD/8Cv/816c/t3VsHwC2orAzA748cxZjUMZeJiIjSzeHDh6XbmkpcD3fDDTdg7dq1aNCgQbXpBw8eRNu2bfHqq69aXUQ1gwcPxtChQ3HXXXcBABo3boxvvvkGkyZNipq4PmzYMAwcOLBav8444wy0bNkSxx9/vK19o8xSXl6OLVu24Oabb0ZeXl6qu0OqDh4EVq0CGjQA+JAKERHZxDii/NWj4eoEow7t8Yj3dR3wJnGEomQr13VsAXAzgLwM/j0pucYF7xNd5TG//XwR3AZzMnwbJCIid+A5ExEREVF8PF8iynw/Ld+CfQeARvfeAqA2EKyenqOV44tFL+G0hkD0auwhxwZjfvVgPeb3U/D/J9eMQR4+DOzfD9x+O6CQU7J3r5jHSSedBK/Xa6lvROnqmGPEen7ccccpref/+Y/4v6Z5uH1YxFwmIiJKVwcPHpRuazlx/fXXX0dZWVnE9CNHjuDNN9+0OvsIhw8fhsfjqTYtJycHgUAgavvatWujdu3aEdPz8vJ4ACcpXFdcKjc3VJGDAU4iIrKJrotjSp6W+AZaLS30mYy/2abryNOy4PekJDK2NfPrlXEGr4PrJhERpQmeMxERERHFx/Mloox3cgPgkfb/xtS152Fg4deYfv/u4Dty232e0cyGuLumi7yTnGjxfl0X95sV8gSMprruQV6eJ35jIpcy0rVycjSlPJpatcT/dV3tcxQbc5mIiCjdqByXTCeuf/zxx1U/7969G3v27Kl6XVlZiU2bNuG0004zO/uY2rRpgwkTJuDMM8/ERRddhA8++AAzZsxA165dbV8WEREREVE4Y7BQmXg4768RmWfH84fcBomIiIiIiIiIiNKPldif8Rk9fjO1ftgwLyDUtxg1F4kygtntl9sHERERhTOduH7ZZZdB0zRomoYbbrgh4v1jjjkGc+bMsdS5aObMmYORI0eid+/e+Omnn3DqqaeiZ8+eGDVqlO3LIiIiIiIKFwrIJQ6Lj30u9LPmywegY/ytfjza2Zm+EWUSY3QDzcItqKqbWHbcxSIiIiIiIiIiIiJbhArEqAfu7Iz52T14t1GJmom5lMmM9dujOKgA4/VEREQUznTi+tdffw1d13HOOedg+/btaNiwYdV7tWrVwkknnYScnBxbOhnuuOOOw8yZMzFz5kzb501EREREFE8omTY+zecFEB61Ez+PWFOAEWsC0Iv9jvSPKFPYUnE9eAuMgXAiIiIiIiIiIqL0IRtnj8bOmJ8e7IGZBPponnhC/H/LllBcs6QEyM+3ZfZEacFqxXXG64mIiAiwkLh+1llnAQACfFyUiIiIiLJEqBJM7DaRSes1eaD5vExeJ4pDZltLJBQIt2uwXyIiIiIiIiIiIrLKSFz1eNQzWI0qz3bE/KoScC3PKXYcs6Cg+rKI3M5IETObuE5EREQExM+okTJp0iQsWbIkYvqSJUswZcoUq7MnIiIiIkobiSpJDFsEhE6xozUypnkwYbmtXSPKKKGbRtbv6PCeEBERERERERERUfoI2FBxPWBHxXULCfThZBJymbRLmSK03ah9bsyY0M+aJv5NmmRbt4iIiMhlLCeuL1iwABdccEHE9Isuugjz58+3OnsiIiIiorSRKJl28gYvRLg9XhRavD9ijdfm3hFljqrhgm2ouE5ERERERERERETpI1GBmHjsHGXRSgK9oV07+balpRYWRJQG8vNDowi8/77YHt95J/HnNA2Ilj42fDjj+ERERNkq1+oM9uzZg1NOOSViesOGDfHDDz9YnT0RERERUdrQkSiZViXCxmgcUSzGoyF2JK5zGF4iIiIiIiIiIqL0YSX2N/Y58f//91MdaL58ADoW9vSje76JflhIoDesXy/ftqCAsUpyr1jbSbNm4v+x1m3ZEQm4bRAREWUXyxXXzzjjDLz11lsR09966y2ceuqpVmdPRERERJQ2EgeyVSJrjMIRxZJodAMZxmcZ8CYiIiIiIiIiIkofoTi7WuBO83mx8cNrg688wX856LGgAJpPfYTTUAI9A4hE8cgmn9c0ZIj8MiZNkm9LRERE7mc5cb1bt27o378/li5dim+++QbffPMNlixZggEDBqB79+529JGIiIiIKC0kSqYd2sYPEe6OF+gW74+/1W9z74gyhzHUry0V1zm6ARERERERERERUdowYn8ehbCdSEyPl97iUU5etyMGSZTp8hVGM3jnneqvp06V/+zw4fJtiYiIyP1yrc7gkUcewb59+9C7d2+UlZUBAOrUqYMhQ4Zg2LBhljtIRERERJQuEgWyJ3UHJm8IQATQdSAiYdZIaA/g0c7O9JEoE1gZLthQlbjOgklERERERERERERpI6BYcf3+mUAoaT1awFCDiCh6sKgU6C6ZaBsqVGNe27bA+vVybUtKLCyIKEX8CjWYmjVjPJ6IiIjkWK64rmkapkyZgr179+Ldd9/FRx99hH379mHUqFF29I+IiIiIKG2EAuqx2+jFfgCBeHMJtiGiWHSJbY2IiIiIiIiIiIjcp6pAjGT7Ja96g63jfUK832NB4qrre/8HaL7r0f/pPwMAXnjzFNRqexP2/CzZoTDr1sm3ValcTURERESUySwnrhuOPfZYXHXVVbj44otRu3Ztu2ZLRERERJQ2QhXX45eM0Iv9GNqmBEAlQknslRh/awmT1onieOJFMezv//2nHgCgxfCr8dBT5ualBeu2s8ILERERERERERFR+lAvWqFS3SJ+2wZ3tcRJnQsAHAsgJzjVg/LAMTilSwHq3dZKYVmCTPyRMUrKRo88It924kTn+kFERETpJ9fMh9q3b49ly5bh+OOPR/v27eO2Xbt2ramOERERERGlGyO2LBMmn9QdmNTdj9rtvSirAL5d/CrOaOhk74jcTfN5IZ6tDt/CcjB7UwFmb1IfqcC48aVbGuyXiIiIiIiIiIiI7FQVZ09QICbyE9baNrirJQ4crhX304fLclGv8604NPNphWWKxPR27YD166tPLylhpXVyN68X8EuG5t9+u/rrKVOAqVPlPjtsmFq/iIiIyN1MVVyvX78+tGAWQP369eP+IyIiIiLKFOqVYJg8SyQjlLQeiyfYRmGexrbHakZEREREREREREQpt3WXiAMu2HQmAGD0yvPRZmziz3W9wQ+RkB4v0CfeX9gzeobt3v8hLGk9VqxeTD9clos9++sk7lgN69YBO3aIn888U8QlmbRObldaKt/2mmsip3FEAiIiIorGVMX1pUuXRv2ZiIiIiCiTWUpcZ+CNKKonXgRCSevRNi4N4saTBw89BczqLTdfLXgjS9f50AgRESXfnDVAv+VehI5tOm6+uQTevqnsFRERERERUWrEGm2xZGcBNF/80RYX9weWvBoIfl5HZAzRCL4H0D1GonjTwddH+VzUngIALpt0O/b0rpRoX50nGOYMBJQ/SpS2dD3xfbF498B0HRgyJLL6+sSJrLRORESUrUxVXCciIiIiykZG1XRNYWjSqlQlJq4TRTXwOSOpL17kW7w/e5N81fWRK8I+7cuH5vNiyorY7YmIiOyi+bzot7wAQA5E+NUDIAdbtvhQq5Dl9oiIiIiIKLvYMdqiSGyPlw0eP/l978Hacedf0/7Dau0NTFynTKXrwLnnRk5/+225+19Tpoh2ucHyqv/5D5PWiYiIspmpiuuXX345NMkyk//4xz/MLIKIiIiIKO2Yq7huVH12oENEGUGlIrpc28ibYeLnoasKMHRV/JtYREREVsRPyNBgJGTwWERERERERNlg6y5AdrTFNmOBDaNjz0sv9uP+mcCSV70QDwoHAOhY2NMfs9K6oeHxR3HoSJ50vxvUPSrdNtzYseL/338fuo8wezbw4IOmZkeUVvr3F+vyHXcAL75obh4cpdiaXbuASy7xAGhTNa1lS+Cll1LXJyIiIjNMVVxv27YtCgsLUVhYiFtuuQVffvklateujRYtWqBFixaoU6cOvvzyS9xyyy1295eIiIiIKOlGLxFJSAcP5wAA/tSrOUYvkftsVRBOKTmXKJuoRKgTt7WjghMREZEZc9YA8RMyDDwWERERERFRdmjxqPxoiyU7E18nLe4PfLf0FQCAx6NBL06ctA4A26e9BhFbTBRfFG0+HLYq8Uxr0DRg/frI6f36qRXDIUpXxkgCVtZnJq6bp2nAJZcA1Uf4AzZvFu/t2pXCzhERESkyVXF99OjQY67dunVDv379MG7cuIg2//73v631joiIiIgoxUJJsOGRuBw8tr4Aj61PXLmZQTii+GZ09GPgcwXBV7Ei3mID6tcq/vY2eAEgW8FpygpgSCfV3hIREcXWb7mRkBGP8b4H7SYA6x51uFNEREREREQp5cBoiyZi7g1/B9SvW4YDh2tBxAejLUvMsG6tCjRqcER+5pBL5NU03icgdzPWX4+pEqkC75mZI7OPEUnt/G6JiMgdLJxOCKtWrcK9994bMf2ee+7BmjVrrM6eiIiIiChl7KjcrAWD3QwUEUU34E5ADOsLRK94ZEwLYFbv+PN6vFS+gtPQVax0S0RE9qn+8JQMDevf47GIiIiIiIgynb2jLQKARzNi7mpln/e/sBn165bFbVO3VgUOLVfLc+nTR77tnDlKsyZKK6y4nhqqldQ5wgMREbmB5cT1Y445Btu2bYuYvm3bNtSpU8fq7ImIiIiIUmL0EiBx5WbRRrSNrioIp1RZhii7iJELAnFaJB7dQLC/ghMREZGM0MNTKngsIiIiIiKizPb6BD9EQnq8LFXxfsGVMvE/a0mZ+1/YjJ+WlwAwEtgDAALI8/yGH5aW4NDqTcrzfOop+bb9+inPnihtsOJ6alx6qfpnVJPdiYiIki3X6gz69++PXr16YefOnfjLX/4CAHj33XexZMkSjBo1ynIHiYiIiIhS4bH1MslHWlXbsV2jB9VD1V9s7BxRBtKL/XjiRWDgc14AORA3jXT0a+VPWGk9bC4qS1TtIhERURxmMid4LCIiIiIioszWvDEg4nweiGugmtdOodEWN4yWm2d44rquqyeyN/wdMKDw33ii6Fw80v4rTLnvU7UZEGUpVlxPDTPf1aWXhv5eRERE6chy4vrQoUNxzjnnYNasWVi5ciUA4M9//jOWLVuGO+64w3IHiYiIiIhSw57KzUYQLqA4bClRNhpwJzBqrY5ffwO+WPAazj3lsNLnH8734/HSguCrWNuciPJOvl2ughMREZEc9Yen2l7NYxEREREREWU+vdgPzedFaITTmmRHWxTCk2YDASAnx0SfgvF6TWP2LJEsVlxPvuefN/c5fr9ERJTuLJxOhNxxxx146623sG/fPuzbtw9vvfUWk9aJiIiIyOXsqdzMIByRGmNbMVO1ZVpPQFRwAqJvl6EKTkM6qc+fiIgoPh1y55DiILfrm+sd7Q0REREREVG60Iv9eH1CCYDK4JQAgEoUXFmilLQOhEY5BQDd1OhXYTFIU5+urrf0aJHA7Nk2LJAoRVhxPfnuvtvc56z8jYiIiJLBlsT1/fv34+mnn8bw4cOxb98+AMA//vEPfPfdd3bMnoiIiIgo6Ua19SNx8pF4X7SNzogNMQhHJCd008jcRiNudMUbA1OtghMREVEid04FQmFW+TuDX+6ph/N6MHmdiIiIiIiyQ/PGQOsr/wsAWNLvY+jFfmwYrT6f8IRMs3F342NWKkcb5s6Vb/vgg9aXR5RsX38ttruhQ8XrZcuAhg2BX39VnxcT15Pjo49S3QMiIqL4LJ+Gf/zxx/jjH/+IKVOmYNq0adi/fz8AYN26dRg2bJjV2RMRERERpcTYroBs5WbRNjpjqFHG4IjkhIbptTCPYj8ezg+v4AQAlZh8u3oFJyIiokT+vs0LkbCucvASbb/cUw8HfnGiV0REREREROknFPszHzEPL3hhNvk1ELDej3Ay/WCiLrlRTg5wzjmR0//7X+C444CmTdXmx8T15GjcONU9ICIiis9y4vrAgQNx33334fPPP0edOnWqprdu3RpvvPGG1dkTEREREaWMHZWbQ0E4jstHJMOIV1sdynJaT7ENGzefflj+CoZ0sjZPIiKi6MwetESye/74ZnZ2hoiIiIiIKG2FRls0r1rFdZNzsqMf0ebZu3fk9NmzmaRL7pSTAwTi3SIDsGOHWvI6E9fVrFxp7nNW768QERE5zXLi+o4dO9CzZ8+I6aeddhr27NljdfZERERERCmlF/sxpM3GsCkBAJUY1VaucrMRG2IQjkhO1U0jmwKrDNASEZHzrJ3ofbv3GJv6QURERERElN6MqyePhUyV8HhfoqTaRP2wO3Y4dy5QVhZ6vW8f8OCD9i6DKBm+/lp++9qxA/j1V7m2TFxX06GD+c8+/7x9/SAiIrKb5cT1OnXq4ODBgxHTP/vsMzRs2NDq7ImIiIiIUm7EPaGfD63aBL3Yj7Fd5T5rVHtmEI5ITqjakb0bDbdBIiJySrM//ANWktfPbPibfZ0hIiIiIiJKY4GAyFq1EvvzaKHPmq+4rkXMyy6PPx76+YQTRKLu4MG2L4bIURdeqNa+k+Rop0xcT5677051D4iIiGKznLheWFiIxx57DOXl5QAATdPw7bffYujQobj11lstd5CIiIiIKNXCA2gqAfV5RcCP+/MAAJc+9DdoPi96zra7d0SZxbjZZFvFdfDhESIics7atxvh7f/XxOSndQA6Ske8bWeXiIiIiIiI0pYdlc7DP2s25hewedRHg6YBw4dHTn/8cY4MSe5y9Kha+y+/lGvHxHU13G8QEVGmspy4/vjjj2Pv3r046aST8Ntvv6F58+Y477zzcNxxx2HChAl29JGIiIiIKKXCq7bIBok0nxe9FxcAyAlO8QDIwcKXC6D5vHZ3kShj6DbfNKoKhJusvkRERBRLZSVw6+SLg69UjzPigHduo0Oof5yt3SIiIiIiIkpbdsT+7EhcNyquazZWXJf5nZiESm5Ru7Za+3PPlWvHxHV5kyalugdERETOybU6g+OPPx7btm3Dq6++in/84x8IBAK44oorcNNNN9nRPyIiIiKilKtWcV0m+OzzIv4zoh5oPi/0Yr/VrhFlnKqbVxaGCw7HQDgRETnlzd0nAjjG9OfPbXQIXyx8zb4OERERERERpbmqhHELsb8JK0KfPe7OVgB0jCj0Y9z9Kv1AsB/2mDJFvu3gwcC0aTYtmMghu3cD55wj337FCrl2jNfLizZ6g4qVK+3pBxERkRMsJa5XVFSgTp06+PDDD3HDDTfghhtusKtfRERERERpo1rieoKA+rwiIJS0Hi3srUFU2PSg52xgQT9bukiUMYzK6LZVXA9uswyEExGR3X7Yp1h+DAAQwPF1/odvF7/NSutERERERJR1jBCd2dhfZNEY8fP4ogKMLwpIF4sx+uGJV39GwdCh8m0ff5yJ65T+zj5bbB+BQOK2V10FHHus3HyZuJ48HTqkugdERESxWToNz83NxVlnnYXKykq7+kNERERElHb0sAT0RAH13ou9EMnp8RqK9xe+7LWhd0SZxY7hgsNVBcJtq59EREQknHLCUeXP3H7tDzjwdyatExERERFRdrIS+5Md6VRGIGC98jtRpqusTPxwx1VXAdu3y81v7lxg717xc+PGYj/Qq5e1PhIREZE7WX5+dMSIERg2bBj27dtnR3+IiIiIiNJOtYrrCQPqKhF3JtIS1WQMF+zR7LlpxAouRETklOsu/BnAb0DCRAe9qs2qbadA8+VD83mx7ROHO0hERERERJRmzMb+xi4FEo90KtqMXBx7Pls+EAnwS14+HQDw6LN/ROE4pa4QZZXKSuCrryKn//73wC+/yCetaxrQt2/k9Pnz7Stik2kmTrT2eX6vRESUziwnrs+ePRtvvvkmTj31VPzpT3/CFVdcUe0fEREREZHbVUtcl0pMkp6zme4QZSy1h0TkMDZLREROyckB1gz9Z/BVrPO6mtM9wX85uG5YgXQ1QCIiIiIiokwQMFlxfcw6+ZFOxxdFv87SfF60HF0AIAehVJkcFO+wfm02ebJ824cftrQooqQ7+2yge3fx87hxIo6/dy9w7LFyn5fZ3plkHWnYsEQtEt9jnDLFlq4QERHZLtfqDAoLC6HxDIKIiIiIMpgeFgxPdOr71P1+9F5cYLSOOUcA6HGT33rniDKIE4nr0eZNRERkl/bN9mDN0Pdx6+QrIJIfVImh7PVinhcSEREREVHmMyquq8f+rI10KhLT49V1tHZtNmQIMHSoXNtp00wtgiilAgHxf9Vtd+5c+ba9egHz5qnNP9PperzvPPEfY+hQsX8iIiJKN5YT18eMGWNDN4iIiIiI0pdKMm2vQqD34gBEEFxHZODImFkAC/rZ1kWijKA2uoEcLTjsMBPXiYjIKeecvCf4k3EOGLybCx2Jh7IXbbZ9Alx7kaPdJCIiIiIiSjkjRqce+zM/0umWDwDZa7PCcUDRQMWuGUuNm2AaakPkRsa664n3/EcUffvKt50/n4nr0eg6MH48MHKkMcWIPxEREbmX6SPZ4cOH0adPH5x22mk46aSTcPfdd+O///2vnX0jIiIiIkoLqlWgRVWWQJwWAVbVJIpCZXQDWcZ8dKWqTERERHI0nxeXD6g51LwHoWQIuaHsrxtmbVh6IiIiIiIiNzBC7aqxvzHt/MFPx8v8Fu+PKKwee2852gvZa7PiHdauzXQdmDw5+nt33GFp1kQpZVRcV01cJ3sMHhz+ik/AEBGR+5k+pRg9ejSWLVuG/Px83HXXXdiyZQt69eplZ9+IiIiIiNKCmSooerEfT91fAqASoST2SvS4qYRJ60RRDJgH5LVrXfX6xI43Y/rz1udblbjOWC4REdlMZqh5hblZ7A0REREREVH6q6q4rngJNLoLUH10q4g5B/8fwLj7a76nsjDr12ZDh0af/ve/21esgyjZjMR1rsOpEQirldWrVwCJH+QRYj1IQ0RElGqmE9fXrl2LxYsXY+HChZg9ezZKS0uxfv16VFZW2tm/qL777jvcc889OPHEE1G3bl1cdtll2Llzp+PLJSIiIqLsZFRq1jS1zNdehSKBvcl5BwEAJSPfx4J+tnePyPU0nxczNxrVag05ePj5gmBSoIV5B4O3TFwnIiI7ffglkHioeRU8UBERERERUeZaVCpigO9+1gAA0G7iFbh/pto8zI90qnK9Ze3aTCapl4m/5EZGfF214vqTT8q3feABtXlni169gLp1Q6/nzfMg/r4wZMgQZ/pERERklenE9X//+9+47rrrql43bdoUubm5+P77723pWCz/+9//8Ne//hV5eXnYuHEjdu/ejenTp6NBgwaOLpeIiIiIspfZKjAGI+Gd6UhEkWSq1VpJXq+quM5KtkREZKPLB8gONQ/IDGX/5iSOyENERERERJlJ83nRY4FRtMKIA+ZgyavqRSv0Yj/GtIsc6XREYeyRTjeP9SNxdWLxvu8q89dmzyuMHnnnnaYXQ5QSRsVv1cT1Pn3k286bpzbvbKBpwPz5Naca+9L4yess5kNEROnMdOJ6ZWUlatWqVW1abm4uKioqLHcqnilTpuCMM87A0qVL0bRpU/zhD3/AjTfeiHPPPdfR5RIRERFR9qpKXDeZeu4J5iwFAkycJQo3YB4gV63Wg+kKN36qzcFIXGeQloiIbGVHRfXQUPbXXmSxO0RERERERGnIiaIVo7uIBPYTjxO5KZ88+QbG3R+7/c2XA6EEz/jXZkUjlbpSzd13y7f9+9/NL4comYqLRYz9uefE60GDgPbt1eYhE5tn/D5S4mJa8VP+OLoDERGlM9OJ67qu47777kP79u2r/h05cgQPPPBAtWl2Ky4uRpMmTXD77bfjpJNOwuWXX45FixbZvhwiIiIiIoNRqdlyxXUG3oiqmblRtlqthoefN1d13ewDJ0RERPGpHF/MDGVPRERERETkbotKAdmiFffPVJ+/ykin4rqL12ZEKjQNKCyMnL5unfr9Ml0HnnwycvoDD/DeWTS9eiVqIfcHYPI6ERGlq1yzH+zcuXPEtHvuucdSZ2R89dVXmDdvHgYOHIjhw4dj+/bt6NevH2rXro177703ov3Ro0dx9OjRqtcHDx4EAJSXl6O8vNzx/pJ7GesH1xOXqqhgeU0iIrJNWUAcSzQNKLdwXCnXrX0+HRm/T6b9XpQsKlFTzdJ6VhbQuZ4SEZFtts8oRdOBbYKvYh3PxHGnZeNSeHJ1bPqgAGI45wAAHa9OLMW1F4lzRCIiIqJsxxgTUebpsSAfieN/4v0lr3ox/6FSpfkbt4KPVsrtO8qKSrHlAyB/TD7Cr83aNCnFmpE1rs00TdxvVsoV8ATnK6MS5eXxEumJUqtWLQ9iP3hi3DMLoKxMfj3u0UP8u/rqXHzwgYbi4gq0aqWrbWZZYv58mf1Jov2r+Ds98EAF5syxo1dERETxqeTZmk5cX7p0qdmPWhIIBNCkSRNMnDgRAHD55Zfjk08+wbx586Imrk+aNAljx46NmL5582bUrVvX8f6S+23ZsiXVXSCzTjlF/J9BTiIismhvwKjcosNv4riyP1j55f0AkJehx6UtAI+5ZILKOmNu+6sIxm636sCXXEeJiMgu5wAiycEDcTyLfhMXCKD3OPHzNR+9i9Gj/4qzzvoFs2a9joMA/Dw0EREREVXDGBNRJlErWqEa+ysPxt3f1IF/y372MuDSS3/GRx+dhAED/oHmzb8DUOPa7JhjxL9t25T6M3AgMGOGL/gq/gPOf/1rCfws8E5pavt2AIi3LmsQ67IH111XgmHD1OZ/8GBzAA2wffsOBAI/WehpJmuTuElC4m+3YIEHrVuX2DA/InmvvgrMnl2A6vsQHZdcUoLHHktVr4jIaYcPH5ZuazpxPVVOOeUUXHjhhdWm/fnPf8aaNWuith82bBgGDhxY9frgwYM444wz0LJlSxx//PGO9pXcrby8HFu2bMHNN9+MvLy8VHeHVB08CKxaBTRoAPAhFSIisuhbTVSVyNEAr4lx9aYFi1JcDs3U59NZua5jC4CbAeRl2O9GznuwVSnmbJKrVjvlrlJT20+t4Eeug4Y/cx0lIiIblRWVolZhPkIVyGoKoKyoFMaoIR8HD0P19Mw7JyQiIiKyijEmokykVrRC9TqpTrD5X6HhUoXPztJF28s9Ma7NDh8G9u8Hbr8dUMgp8XqBGTPiPeBsCOC117zS801nw4YB06d7EPpddYwbF8CQIansFVnVtm343zQW8f577xXA61UbPWD8eFFJ/Morr4LXy4fVorPze9Hg9WbGPofcITRiQ+R+5OOPfWjbVm20BiJyj4MHD0q3dV3i+l//+ld89tln1ab961//wllnnRW1fe3atVG7du2I6Xl5eUxGJilcV1wqNzdUkYMBTiIisqDLE8Cy124AABwt11CrMB9P9/Lj/tby8zBSmXKgZeaNN11Hnpahvxs5anZvYM4muWq1j9xtbv0yPpWbqdsfERGllF7sx4dfApcP8CJ8qPlbLvFj03gg/NimBasBQucxiYiIiCgqxpiIMsrCnn70WFAQfBW/aEXXG/zK277RXDnuF0xcz9PiPCij6+J+s2KegK4nujWtAchBrVo5rh9cItbvOXJkDkaO5OAZ2SMHeXk5Sp/wBG+a5eTkqm5iWeOBB4D58+2amwd5ebGKLhDZK/HhOHOOg0QUSSXH1nVHpgEDBuDdd9/FxIkT8cUXX2DlypVYuHAh+vTpk+quEREREVGG0XxeLHutACIJCRCnzznoNq8Amk++OoFxkc4LcKJIerEfIskvlkCwjTlGkiA3PyIicspl5wLt/iKGtp7X65/Qi42k9eqMG7MBHpSIiIiIiCgLdM8HQnG/aBdCoaIVi/urz18Lfj6gqyW8G0v1eOy/ONu1S77tLbfYvvikkXlOgM8gUSy8Z5bYvHmJWuiQvevRu7fV3hDJUd3vt1YoEkdEmcd1ietXXXUV1q1bh+effx4XX3wxxo0bh5kzZ6Jjx46p7hoRERERZRCRmB7vdNkjnbxuJM6qBtCJsoVe7EfH5q8EXwWC/yrxeIcSS0nrc9cB/z0oBhq7uG9zaD4ves2x3F0iIqIIlQFxnufRYt805DkhERERERFlGyeLVhgPB6smvwaC129OXJldeql8282bHehAEqgkJjJ53Z2KiuTbtmunPn9jvQjE2zWQxL5N7gucO9dyV4gSmjBB/TObNtnfDyJyD9clrgNAQUEBdu3ahSNHjuDTTz9F9+7dU90lIiIiIsogXZ4AQqfK0SKrxjQPFm9MPD9WjyBKbFzwWeRjaunQi0uhF/sxqIP5+Wk+L/oujRwxYf4WtRETiIiI4nnuNXHMKd5+EgCg51MXo8O06G2ff16cDP7ru7rQfPnQfF6pc0kiIiIiIiI304v9WNizBEBlcIooWtH1BmtFK4wovWrc3WjvRFJ1pt8D6GAiXturl/39IGf5fPJt165Vnz/vmcnT9Wh/j0rcd18xysoSJ67zO6ZkGTHC3Of4gBNR9nJl4joRERERkZOWveaFCHvHu1oW73eblzgB1qi8yQARUWx6cHuzY4heO0dMICIiikXzeXHPE8ZDUsZxJwcvvBn5kFStwnzs2nVd8JUHxgNV3ebxgSoiIiIiIsp83fOB004sAwDsfGIb9GI/Fve3Nk9jVCvVaKLRPt6IWWZlegLeCy+of2b+fPv7Qc6TuZ9l9p6X2dESstWoUeL/p58uvrOysgDathXTdB2YPTvyM7178/sl9/jss1T3gIhSgYnrREREREQRVKLLidtWVY9wZPBRosxgV6WjuesA2RETes2xtiwiIspeKg9J8YEqIiIiIqLs0masuA4QIy2J0Za27kp1r1KvKv6nnGoenRFHDATUAopGeyeSzD/6SL5ty5b2L5/ITroOFBVFTm/XzlpSNCuuqwkEC6t7YoSWHnwQKCmpPu2pp8TficgNLroo1T0golRg4joRERERUQSVaFn8tls+AF756AQAQMfpl0HzeVE4zkLXiDJUQA/eMLJ446rvUvkRE+ZvYZIgERGpe+41QPYhqZN88m0Xb7Srh0RERERElCqaz4uSneEjM4nRllo8ytGWjMIudiWMmx3p1GjuROJ648bybTdvtn/5RHbz+YC//EX8XFQktre1a63NM/TQibX5ZItEieuaBhQURE5fvz7zR4GgzFBZmeoeEFEqMHGdiIiIiKiG+673Q4Sv40W8xftP9/LHbKH5vGg52rhJARg3KYp38CYFUU12VVy3e8QEIiKimu55Qv4hqb2Qb9ttHs8PiYiIiIjcLP5oSxqyfbQlI/5nJJxbZXakU7v7EWv+MtyWVHrXXeqfeeAB+/tByWUkTtu1vrLiupp4iesyfxO37WfIfXr2tPb5nJzEbYgo8zBxnYiIiIiohqUDAMAo9RAtcmZMC+D+1tHnEf8mBZDtNymIarIvcd2+EROIiIiic+ohKd5JJCIiIiJyK83XGiIenOjB1eyNCwcC9lVcX/oS8NWeOgCAZo80g+bzovMMyX7o9vUjlpYt5dvu2uVcP+z2/PPqn5k/3/5+UHJVPexhU4aZMR8mrifWti3QrJn4+auvxH5r0ybxurRUfj7t2tneNaIqCxda+/wnn9jTDyJyFyauExERERFFoRf7EUpejyYQbBNpywdA6FQ7WvTbmOZB4TizPSTKLEZlJKuVjp7sIj9iwgM3xx4xgYiIKDanHpLiHVsiIiIiIjeq3b41xKibiTKhjaR2DxZscLxbace44rGaMK75vOg6N3Kk02delxvpNFRAw7lrsM2b5dteeqlj3bCd2b9dYaG9/aDkilfx2wxWXJejaUBRUeR0ny8XbdsWoF07+T/I+vX29YvIbhdckOoeEFEqMHGdiIiIiCgGvdiPWy55K/gqEPxXiad7lcRMWgeAlqO9SFxZR7xfvCM7q+sQ1WRXxfU+7QDZERPmPWhtWURElJ2eHSD/kFRDyLd9uhcfqCIiIiIicpvv9gJlFTmJG1aj4YFF2RcXtiNh3MpIp/OKxOd3fF4fANBmXBP0nG26K7ZxS/Juq1bmP1tcbF8/KPmMxHU7RinYtAl47TXxc4cOYp5t21qfb6ZJ/F0bI3wQZYbVq1PdAyJKNiauExERERHFMaqj+P85jX6DXlwKvdiP+1sn+pRKsIiBJSIg7MaVHfOyMGICERFRIh2vB2QfkvqpWL5t4nNMIiIiIiJKN437tUTiIibRZF9cWNfF72z2N1/6EiA70mnnGTXe8XnRe7FRpd2YRw4WvixXpd1JdiQDJ8NLL6W6B5QqdlVc1zSgdZTYR1GRe7aDZEicyK/V+D9RavXoYX0et99ufR5E5C5MXCciIiIiisNcMq1KiRSXlFMhclhoqGB7tgm92I8nu5QAqEQoYbASD9wcf8QEIiIiGSoPSfGBKiIiIiKizPXLkVyTn8y+uHAo/mfu813nyo90+szroWR0K1XazWrZUr7tRx/Zumgi2xn3yawkrsts90xeF4qKZFqpPTDFqvbkpAULUt0DInIjJq4TEREREcWhBwM/Ksm0m8f6IcLw8T4j3vddxSQlIgAIBIxtzb559mknkgUvO/sXAMCmMTsw70H75k9ERNlNL/bj2QHGQ1KASE6vxF3XRT4kVVZUihYtisPa6gAq8XQvPlBFRERERORmx9WpMPEpHYAHjz5td2/SW1Xyq+nCFeojnc4rAmSrtPecbbJbUahUJ2/c2L7lpiufL9U9IDNmzRLx+o8/Fq9vvhl40ER8fdMm+bZMsHbGunWp7gFlOj37nscjIouYuE5EREREFIeZShI3Xw6EqmpGu1I3pgVQNNJ014gyivUbV7EZyfAMnBERkd06Xg/86bTfAABvTHoHerEfzw+O3rZ/f+A/y7cEX2kIFPlxf5QhsomIiIiIyD3+dygXiYuY1CQq5U4strfKd7oL6FYLV6iPdNp7sXyV9oUv2/v3yLRY5C23mP+sXAVpSieaJuIYNT35pPo23Foh9sF1xX6Zti+i9GS1KNWqVfb0g4jcg4nrRERERERxVAXTFT8nKmcG4rQIsLomUZjQ6Ab2z9sYMUFX3pKJiIgSCwRvAKoOe80bh0RERERE7rZpJxC/mnci2RWr0hWunaJZ0kd+pNN7Wxixd/Uq7cnmRDzUCSpVs2tq0MC2blASqMY3yF6FhTKtxL5u40axby0piWzRti1jT5QcduwPbrvN+jyIyF2YuE5EREREFEcomK4e3dGL/dg8tgRAJUJJ7JXwXVXCpHWiGqzeuIqHFdeJiMhJKqOGhLfhcYmIiIiIyN1aj5Wp5h1Pdl0UVMX/TP7eXW4BZEc6XT6w5jQZ9v49OnSQb/vcc7Yu2hFW4rYHDjB53S1mzZJv++CDzvUjm61fn6hFaF/XqpX4KT9f7GO7dxevx40D1q1zpn9E4Xw+6/NgjJQoOzFxnYiIiIgoDqvJtDdfLhLY77/53wCACff8C0UjbeocUQaxeuMqHmPzZfCLiIicYIzQI5W4HhaNNT5HRERERERuZSVhXcdwX3YVN7FjxEXVkU6ful++SnuPm+z9e7zwgnzbe+6xddG2s6PYyIEDwN691udDzurfX77tk0/Ktdu4UX6ectXGM1/iexkBlJVV3xd++y2waJH4eeRIsd0eeyywb58jXSQCAGzYYP6zq1bxvh1RNmPiOhERERFRHKFkWmuqKj5n2fCvRDJumwxcMeBaAMD3+2pD83mx+i375m+MmMD4FxEROSEQCCauS0Raw5PbmbhOREREROR2ZqJNoUq5E7rZ2Zf0NXIxoPm8+PU3cdF0Xs8WGLvU/Pz0Yj+W9Ikc6fTeFpEjnfYqBGSrtC/oZ75PmWz3bvvm1bSpffMi9zCqgstIXG08e+g6cOmlkdOLiyuwfn1JtWl5ecBZZ0W2PXQIOPFEoFEjhzpJZMHttwPTp6e6F0SUKkxcJyIiIiKKI1QFxlrKq8dIXGfmLFE1ms+LNW8XAMgJTvEAyMHtUwqg+bz2LKNq+2OCIBER2WfSM+I49v9+qgMAuPrhZhiyMMFnVoZOBuvc2hqaz4vRS5zsJREREREROWXjaJlq3jVlV3xK83kxvsiI/RnpKTkYs85a7K/LLSKB/YZLfgYAPP/wh1g+MHpb1SrtVF3jxvbNixXXs5fMvTHeP4tkVMD3esX3o+uRDwLk5QEVFfHn8+OPTF6n9PTww/aM6kFE7sPEdSIiIqIMd+skERzWfPnBf16seyfVvXKPqorrFi+ajcT3AANvRFXEzal4l6UeW5LXjc2XgW8iIrKL5vNi+OrI5IupJbGTL9q2LcCMkvD3xMNaj62372EtIiIiIiJKntZjE53Hx0tqtyfulc6SEfsz4vaJRrTSi/146n6jSjsgEtkr0eOmyCrtdrnrLvm2zz7rSBdsEYiX86+oYUP75kXOmDlTvm3fvmrz1nVg48bI6YWFjN3HYmx/sUb5+/bbxEnrhh9/BPbts6dfRIY2beyZD5PXibIPE9eJiIiIMtSvh0RgeO074Qk1Ijmm/SQmx8iqSly3OB8PKz4TVXPbZCB0SRptuzCmebD6LWvLMh4cYfCbiIjsYCb5olZhvvJniIiIiIgofc1dB8SPbSHOe6G4V6fpdvYqfYxcDMjG/sYuNb8clYIVvQqB3x8vMjz/+eRW6MV+LOhnftmJPP+8fNuOHZ3rh1WxEmbN2L7dvnmRMx56SL7tnDnq82/VSmyvXbqI15MmAevXq88nWyRKXL/oIrX5NW9urT9ENRUX2zev6Rl6TkRE0TFxnYiIiCgDNR14LY7rYCSsxwoKMzlGhh78/ozEV7NYcZ2oujVveyH2RYlu7Gm4fYo9lZf0LBuKmYiI7DfpGUA2+WLIQvHT6CXynxFtiYiIiIgo3fVdKhvbiveehme3ZmaMfnyRfOxvzDrz34HHo1awwqjM7klSmFCmX+lebGPXLvvmxYrr7pCM9bYqZp/m63+qVQYHiYiVuH74sNr8vv/eWn+IorFrO374YXvmQ0TuwMR1IiIiogzTdOC12PFFA8nWTF5PxLjYthrIDlV+YeIskaCyLVjbblQqLxEREcUzfLV88sXUEnGe/dh6+c+ItkRERERElP7sivNmarw4ObE/45MBybh71QirSfzaE8Ukk9kXMy680L55pfvvSiG6DsycGTm9b1974uxGIrZRUZyq27dPbC8PPCBer18P5OYC331XvV3dumrzPfVUW7pHFEHXgQsuSHUviMhNmLhORERElEF+PYSwpPVEEUAjecaDJ150tFuuZgS8rQZUVSu/EGU+lY3B6ogHwblw+yMiIsvMJF8k72EtIiIiIiJKFrsCTZkasEpO7E817hequJ68713m3kI2JXS/+mqqe0CyHnoolBj91VdiO5szx555M2YfW6NGwIknRk6vrAROPx049thQqt8nn6jNe+tWi50jiqNfP/H/9u3Fts3tm4jiYeI6ERERUQbpNLMJEldzrEnDwOdY2TGWUAUWexJnZSu/EGW6W5v5IW5Kxdu2xPurhvgtLcvYfnUmAxIRkWVmki+S97AWERERERElx5NdZGNb8d7TcU9za3GvdDWiUD72N6ad+e+gqmCMZPtkV1wfMkS+7aRJzvXDCru/qxtvtHd+5CyjIrrH5uwyY35MbK2uUSPgxx/jtykr8+C22/IBAGeeKSqxyzj5ZOCEEyx2kCiKPXvEsaJ3b/F67VqgTh1g716gf3/5+Tz+uCPdI6I0xcR1IiIiogzy5R7FMeGqMJkzFrsC2R5WjyCqZvVQADDGAY22YRjTArjtr9aWZWy+3P6IiMiqibfJJ188UiCSL0a1lf+MaEtEREREROmuTztALrYVP+61YpDNHUsT4+4HZGN/o7uYX44R9wsE5AL4ya64PnWqfNvhw53rh1kvcrTerGckrtv9AENVsadA/HbZZN++xEnrhoqKHHz3nfi5vDxx8vrJJ4vkYiK71asHnHJK5PSjR4GTTgKWLpWf16AMPSciouiYuE5ERESUQXZ9c6zJT2oYMM/WrmSEgjFAwbgmAICdXxwPzefFNsVh9wxGxecAE2eJqujFfoRuYEUTCLaxhsOOEhGRXYbdC8gmX0zpIX4a21X+M6ItERERERG5gUxsK957dsS90lkyYn9VFdcl437JrrjudnfdleoeUKoZ2wwrrjuveXPZlmLk7SuuCP1RysuBb76JbFmvHvDzz0xaJ2fUqwccPhy/zYEDQP36iefFfQFR9mHiOhEREVGGeOdTQJzembmy0zBzo9feDrmc5vOi9B8FAHKCUzwAcnDdsAJoPrXvas/PwBNFZwIApqw5F5ovH3XaXY+9/7O1y0SupBf70ewPO4KvAsF/lVg1pMS2m3eqQwYTERHFYyb5oqyoVPkzRERERESU3kSc2IPIEU11hM7xA4iMSmkAPMpxZjfSi/0Y4H0pbIqI/Y1pZ0/sr6riui5ZcT2Q3IrrFOmVV1LdA1JhVES3O3GdFdcjff+9Wvtffqm+3zvzTJH8O2uWeH3XXcCvvwInnGBTB4nC7NmTOGndcOAA8NNPQP/+ke89/jiT1omyFRPXiYiIiDJEsyFeGE/Zm8MSI4bQDYdY5G8q1LutFU7pUgAgr+qzgAdHK4/FSZ0L0OCultY6S5QBhnQU/7/6jwegF5dCL/bjtr/aN3/VIYOJiIgS0Yv9mHBrSdgUkXzxSEHs5Iv160vwaOEGAJUIJbFXYlRb+x7WIiIiIiKi5JCPIdsTZ3azER1DP5et9UMv9mN0F3vmrTrSotEsWRXXH3lEvu3Eic71I53ccEOqe0AqjMRyu7cZVlyPdOqpau2POy76l2d8t3wogJx02WVq7Zs2BZ54QmzzOcGacd9/DwwaZHvXiMglmLhORERElDGsRo0YHQKAgjFA6DQ52ndqTPNg2yfx51XvtlY4XJYbt82Bw7WYvE5Zz6iIpDlU6ciYL4PgRERkp0fuCZ0r/vzcZujFfkzpEf8zo7uKpPeT6pcDAHbNeRNjuzrZSyIiIiIistuQhYBsDFmmjXeUfX1LR+ExOTsrnb/zKVD0XkMAQM+nGkPzeZE/OnrbYYvEwwZHysT3/odu12PCctu6EtOUKfJthw1zrh9mvfCCfNvbbkvchvFZ9zH+Zqy47rytW2Vb6gB0/OMf0b88Jq5TMuzfr9Z+797Qz1xHiQhg4joRERFRBjEb8dMtfDbzlP5DpnK9eP+6YbGr4ez5GWFJ67HmJaYfOFwLe/+n3leiTFEV/Hag0tGmncCrH4uxMO+efjk0nxdtx9u/HCIiyj7hN1dUky88Hj1iHkRERERE5A5TS+RjyDJtNn6Y2VXX9bDvwK6qzZrPi2ZDCgAEy7bCAyAH/g8KIqrYaz4vJm8w2hopMjkYsSayrRNkkrXTNaH7zjvl265alfj3SFale7Ju0KDqf69GjYBp0+yZ93ffAbNni58nThTLqVcP2LfPnvm71QknACefLNc2N7cSp50W/T3ju129Wny3mqaSFE8kp0EDtfYNG4Z+ZuI6EQFMXCciIiLKGG9P8cNcEnqossttk+3tkzupRE5jt71swE1IfGMCVW2aDr5eYblEmcW4oWH3jQvN50XrsZE3sIq2J+emFBERZbbw5AvVymNGorsx6ggREREREbmJ3efxmX1dEJ6YZkf8T8T14l2EeapifyptnaTrwCOPRH/vgQccX7xpsn8vlfguk9fTn6YBM2ZETn/kEet/v9q1gdNPj5x++DBw4okiQT6b7dmTOHm9Vq0AVq8ujfqepgGffRY5vUULbntkrw8/VGu/fXvoZyauExHAxHUiIiKijHHNnwHA7BWeSJ5e8zYTOdUS/2O33X8oT2mpew/WVmpPlEmMxD/NxqGC0+WmFBERZa5qyReKD49W3aBh4joRERERkQvZXR47Tctt2yS8CrfVxMl3PgVCMb9oMwsV6jnJJ992wnJr/ZIxdWr06fPnp2dCqUp17UGDgO7d5dsvWKDeH0oOJx8+qF0bKCuL3+bHH5m8vmcP8PPPkdNzcoD//Af49dfo94L54AglU6NGQN26cm3r1w9VXH/iCeC338TPf/iDWCcfesiRLhJRmmPiOhEREVGGSJykKTUXO7riavlXyFSuF++/Ockfs0WDeuVKy214/FGl9kSZpKoij03z27QTkL0p1Xa8TQslIqKsE550brriOisLERERERG5ziMF8jFkmTatL4sdZ84EdhataDbEi8QjnYr390K+7Yg1zha4cGNCaawK8dHMmAE8/bR8+3SuMp/NBg2Sb6vyYAMAfPdd4qR1w48/Avv2qc0/05xwAjBggPh56FBxD6WiAjjttOjt27SRn/fWrdb7RwQAhw4lTl6vXx/Yv1/8rGnAwIGRbWbPTr9jIBE5j4nrRERERBlg6UtA/CRNWZld2UVGyRggVLk+2vdhTAvg2otiz+fDJ15G4hsTqGqzfdprKt0kyigBhaFkZbQeK39Tqmg7q64TEZE54UnnHoUEjMUbgW/3itF2rhp0LTSfF12esLt3RERERETklCk9ANkYskwb/2P29S0dGddOKtdNsakEEJ1qq2buXPm2vXo51g2ihGbMkG+r8mADADRurNa+eXO19pmoat8pkdlXUiI/3xYtTHWHKKpDh4AffoicXrs28NNP1ZPWE2HyOlF2YeI6ERERUQboOlcmSTMekTx9a7PMruwiSy/2I3RTIZpAsE1sjU4E6taqMOYYa0kAgPp1y9Dwd6q9JMocum5f1SUhPW5KERFRZtOhXnG9VmE+us0rAJBjfBJADpa9VhAcQYmIiIiIiNxAPoYcv83n8zI/Jh+quG7P3FLfVk3fvvJt5893rBtEKfXLL2rtv//emX64iUriOlEqNWoEPPig+HnECDFCwJEjQMOGYtoTCgU7HnrI/v4RUXri4Y2IiIgoI9hRZT2A1UPt6Etm0Iv9+GP9XcFXgeC/Srw5qSRh0rrh0OpNYcnr0dWvW4b9L2y21Fcit9ODuyGPbTnk6XFTioiIMlevOUD9u1pWva5zayvMXRf/M23bFiB+ONbD5HUiIiIiIhe567rwxPRQDHnibaEYsl7sx98u3IPIGJQGIAfn9yqAJ8OvA3QbR1t8e4ofiUc6Fe83hHzb8bdm/gMEqqZOlW87cCDQrZt8eyboZ5/jjlNrf+qpzvTDTZi4Tm4Sb30dOFB+PrNn29MfIkp/PLwRERERZQSriZcBHF3NwGxNA+4W/29/zY/Qi0uhF/tx7UVq8zi0ehN+WFoC4DeE38SonfMrflpewqR1IoTfvLIniXzjaPmbUoVNue8jIiI1ms+L+VvCq6YDQA76Lo1dNX3pRiAUio2WrWFM86CLQhUiIiIiIiJKDc3nxQtv1hxNSfwbvjp0XdB2fBO8sbtR3Hnp8GR08nogONqix4bY3zV/BkJx9mjzCxXq+alYvu2jnS13LeMMHizfdvp0YNEi+fY9e6r3h5ynklyq8mADAOzalbhNuK1b1dpnkq1bxYM+c+eK1489BrRpE/8zBQXy83/9ddNdI4qJD1oQkSruLoiIiMg1Hn1aBIM1X37YPy/un5nqnqXekj7ySZqxKrvUvq0Ajyz9s0M9dKeATcm0jU4E9OKXMafHJwCA2/+6B0fWvYaGv7PaQ6LMYO9wwUCrKwHZm1LrR9izTCIiyg4iMV29anrP+fkQ593xDnbi/WWvZW7CChERERFRJpC9LvjtN6Bou5G0HutaQEzX4cEX39nYyTRiZ8V1AMFq9oE4LQLVKt7LtnXKk0/Kt33gAef64RRdj/6zTHtKL9Ony7dVebABAE47DahVS67tyScDJ5ygNv9MoWlAixaR00tK4u9DN2yQX0bz5srdIkqIietEpIq7CyIiInIFzefFxGKjeokn7F8Olrwau7JhtuhyCyCXpBnftHXnMnk9jB6sBGNTPB0ejx6cr00zJMoQRkDLrm0NSI+bUkRElFl6zQFkq6bPXRfrPRl2HhGJiIiIiMhOHaYBstcFvgkXI/EDrKhqc2Hf1rb0Md1UJa7bOc9iP96eUgKgEqEYYCW8l5dExPz0Yj8euHlL8FUg+K8S42+NbOuEPn3k286b51w/VJl90EDXgW7dor83fLj5/lByOPnwwdGjiZPXTz4Z2LPH3PzdTmabi9eGD45QKsVLXJ8xQ34+/frZ0x8iSn+uTlyfNGkSNE1D//79U90VIiIiclDi6iUajAom3+1NUqfSUOIkTUP8yi7T1p2DsjK7euVudleCMWZjDI1KRILdFder5lvsx8bRkTewCpsm56YUERFllvlbvJCtmt53ac0Ha1XuDPIuIhERERFRunrhTfnrgpc/Pktp3uWVrk7fiKrzDODs7tcDAH4r06D5vFj6kj3zvubPIv43sPBrAMAj7b9G6djobUfcLf5eebmAXlwKvdiPRzvb0w8ZbksoffBB+bazZkVOe/rp6G0nTrQ/Bkz203Xgnnsip0+dan09PXoU+M9/IqfXrQv8/HP2Jq1v3Srftl272O/pOlBQEDn99dfTax9DmWPLFrFfX7RIvB4xAigsrN5mwAD5+UU7phBRZnLtlc+OHTuwcOFCXHLJJanuChERETnki+/Ck9ZlAsE5OP3+AtRun5lVSWSMaWckrxsJmqJyiPi/bGUXD57aeLZjfXQTI4ZjVEq3ynjKPMDgEFE1RsDUo9m/cbS6UtzAuu9GEQ2f3PkzrB9h+2KIiCgrmK+avuCBUoizy3jHOvH+fdfz4SoiIiIiovTlXNZtXo5MYRr30HxePPO6MZIuYIyi23WuvaPoGvH7eHH3qkqwDsQfZek68OSTkdMfeCD9Ekqj9TOWmnUmrVaNpvQwNvgQyLHHivVT14HBg+2Z92mnifkZCap33gkcOgSccII983ejFi3k25aWxk/127ABePll8fPFF4vvunlz830jikXTgJYtI6cXF0fu5932ABcROc+Vieu//vorOnbsiEWLFuF3v/tdqrtDREREDtB8XpzfywhoqkWwyipysjJ5XfN5MWad8Z0Zp3kehBL/5X35Q117O+dSgUCwCrRN8zOC4jorrhNVY/foBtEYs+b2R0RE5pmvmt6lNRB6uDTafIxpASxVqEJERERERETJpnpdkOgB1lC73U9uNN2rdJN4JF2PbcnrnmC4z4jnR2OMgupJcWiwTx9gY40/8/z5QNu2KemO7caNk2/76KPO9YOsq3rYw8GssqpiT5n1zE4SJN6R8bslp5l5SEnXgRkzItv168ekdaJslJvqDpjRp08f5Ofn46abbsL48ePjtj169CiOHj1a9frgwYMAgPLycpSXlzvaT3I3Y/3geuJSFRWhsyCe4RC5Tq3CfJhJthY0ADrKKnKCQc+qVEXsnFmKxhlaSDz0ncWi9l3+odEhlHP/iYrgV6Brui3fRyB4g6IigIz5fo3fI1N+H0qusjLgTx3PxndlFwIANv3j99B8Xux6shR/OsPeZenBB0cqdHu2ZyIiyj7dbyrFopfbBF/FOr8Wx5hZ95WiPOxwU67rWL++BG3bFiD2eXsAZUXVP0dEREQUS5uRwEsf5yM8/vnO46W48vxU9so8xpjcbd8BoNG9zQEcC2OdzNHK8cWil3Baw5R2zXa3X1uKVdvkrguW9y/F6revwobtjYLTorXXg3MK4KxT9Yy4HugyAwhd90T7ncV9HMCDpzfp6HyLteVVxf3ixN2PViXhSsYGNU3cb7Y5V6BWrejFhoqKdGhaAGVl6ZJlKqrjy6lEebno96hR8p+bOLESY8aky+9LNYk0qzxomo7y8gpHlhEIiPWloiKA8vJKR5bhHirbXPCcKc7+STzIk4vKSuf+fpS9tmwBQimn8c+FfL4KrFkTmtq3r/h35ZW52LVLg99fgZtu0u0+3BJRiqjk2boucf2FF17AP/7xD+zYsUOq/aRJkzDWGMMmzObNm1G3LiuJUmJbxBGX3OiUU8T/GeQkcpX4iRyyjAuk6hf4V/ZvAyCA9etLLM4/vSxbBsgFgfU4bQyi3ZmtvoKfu0/sDh5D9mg6/DYcT/4ZDKD/qMOW+aWTLQCPuaRk2bILsX79uai+zxc/N+5r//76u+D2938BLeO2PyIiSo78vsCilwMQx6toSSehqulntdWjnk+vX1+CTZuA+fMLgp/3AKhEixYl6N8fPAcnIiIiKaEYavXzkWsedn/8kzEm97nnnpb49dc6qLk+Vuq1cXa3NsjNrcTq1aWp6ZwDOj4MrNomd11Qv4WO+1tsx48Tr8L27afEmWsA69aXZMz1wHNbjeudeMT73Z/KR8OW1vZZXwfjfl/FiLtPnw68+eb1AIBDRzyoVZiPfv1KcMMNMWZ4zDHi37ZtlvpVU+L7Xx7UqoW02Ie3bAls3uwLvoqflHjPPSXw+41pbWK0jUaDP/RBSjPffXcsgBtRWVkOv9+Z0SB27/4DgEvxww974PfL5YBlqvHjgREj5La5K64Q+4h4uUyffHICgOvwyy+H4Pe/Yl9HiWAcz+SO8xs2eOD3Rx7Xfv21OYAGeO+97Sgr22t7H4koNQ4fPizdVtN191z5//vf/0aTJk2wefNmXHrppQCAFi1a4LLLLsPMmTOjfiZaxfUzzjgD//3vf3H88ccno9vkUuXl5diyZQtuvvlm5OXlpbo7pOrgQWDVKqBBA4APqRC5xrp3gDsnt4G5SuuydBiVDDOFqLau9hR+vMouA9t9icn37bahZ+73xPpzMWTpRbi7xb+xbMAHlud3WdczsPvnywEYVUR0bHqsFDdcannWKVOu69gC4GYAeTLjwhEBGLrsQsxYd27wVez9kZ37615zL8HizX/AmI6fYvgdn9syTyIiyk6xR4iKfa0R7Zyp9ahr8MpHDbFswE7c3eI7ZztNREREGaP6yIuxrqndF/9kjMmdEo+eKmI8tXIr8euazEpQVb0u+O03oNFdF+M3nAURzw/FiF8cWop21zjd4+SpVahSoCiAsiLzidq/HgJOuLsFgONhfKcaKvF/8zfi7FPMXb/h8GFg/37g9tsBm3JKNm0CfD756rSrV9uyWEtC1eGBeA9ohFeJF5+Rr9SePhXmqaZPPwUuvTQPJ56o44cfnKnYvWiRB3365MDnC2D16myvuC6/zR06dDRhLtPbb2to0SIX552nY/duVlwne9WqlQOl43xZ5PZ99dW5+OADDcXFFWjVyjWpq0SUwMGDB/H73/8eBw4cSJib7aqK6zt37sRPP/2EK6+8smpaZWUl3njjDTz55JM4evQocnKqnwTXrl0btWvXjphXXl4ek5FJCtcVl8rNDVXkYICTyDXunOyFs0nrBlFRQy/OlEC5yncWazhSYXC7LzG1y6eK88xcxiV3jmb9hpnm84bNMXQx32qUqITl6vVR15GnabypSFLKyoAZ684Jvoq1zoSGC/7qPxr+dIb15eYGNztN57pKRETW6MV+FI47HsU7miM82eTJLn70aQfEPL7VOGfK8Yi4hQceHpuIiIhISii+FO/cQYzq4sr4J2NMrlI93hmzFQAdZRU5+Om/Gk5rmISOJYle7Md1/Rth21dXIfy64NkBfnS8Hqi5nebVRTBpPTJGLAr6uDxGXI1KAppueptvOvBa7PiiAULftSc4Rw/+9ID4ThNWOI+1r9R1cb/ZpjwBny9xG+P3KC7Os2uxluh6vNvsWrBNDsIT1R97DBg1Sm7+w4fnIC9PNsmdks1IvdI0zbF8mdBsPcjLszoat/vJbnPl5eKLi5fLNHmy+P8XX2ioVUu0WbgQ6N7dzh4TyYi+fRv7GI8nNy2OeURkD5VzBlcd+W+88Ubs2rULH374YdW/Jk2aoGPHjvjwww8jktaJiIjIbZJxQ0KDcfPm+a1JWFxSqAWB/29uCYBKhILpAfyx0T9xdHVJMGmdDLou1kmPxVUz8U0cT7ANUeZ7auPZSHyTHTD21xc9aM+2YSzN2K6JiIisGH23OJ6c/vuj0ItLoRcbSevyjHPMShaYIyIiIglySetVrcF4Ezlp6y4gtD7KxXhOvz+z1sdWI4BtX10RNkXHB08YSeuRsilGfG8LP8R9i3j3LsT7S/qYS9YPJa3HE290ilCy+4pXTHUh4yV6nkCP8ucdOVJ+/hMmqPWHksv4+3oczCqbOVP8v7hYrG+aBrz6qnPLcwNdB15/PXJ6QUH0bS4aTROjPNTUowdrPpI9Nm+WbxvrwS1j3xJgXJQoa7kqcf24447DxRdfXO1fvXr1cOKJJ+Liiy9OdfeIiIjIsmQOA6Xh7umZEQQe004+CDyi0I8/nSGqwZxRJ5Sk/q89F6L2bV7s/NzhzrpMoGrwDvPrpu8xQDZA/upHphdD5Bpf/lBXqX1lwJ5IqhGQDXDEQSIisoFxU8XKUcqouB6w6VhHREREmeuzfwPqt3VF8vqE5fb3h6jFo2ZGT/WgdIcTvUk+zefFSx8XIFRp2gMgB5cPKIiafH7rJKMNkChGvO4dmzubAssHAuFV6CMZ0wLocov6/H89hLCk9XgjOiZ6sEK8f++szLhXZCeZ5NZYbWSSa2UTcCk1br8daNxY/PzTT+Jv/eKL9i5D04DduyOn33gjk6ubNxffAwCsXCm2lw0b5D5rZdslknXzzfJti4oipxUXA9u3i599PrFOtm9vT9+IyD1clbhOREREmeuJFwFxapLMaFVmVDAZ3QWQDQKPu1/8pPm8+PeRC4PTPTAC600GRQ+sZ5tvfwQ03y0YuvwCAMCyV05H/Tua4cAv6vPa8L5xEydxgPzGkfzuKfOde8phpfZGUp9VnuADKKy4TkREdjCOTh6Tx6l3PgVK3/89AOD+OZdA83mRP9qmzhEREVHGuaCPTHwpGg0j1jDeRE4wE1/RUDDO/eujmcrpa9+RjxG3n+T+7wgQxXNC9y2iCQTbqOs0swnM7RNjcT5euHGjfNvCQuf6IaOdwmhipaXRp+s68NhjkdOHD2fSerrTNGD16sjpd91lX8Izk6sTMwomqFS8v/9++baLFqn1h6gmsw8paVr049y6ddzuibKN6xPXX3/9dcw0xo8hIiIi1xr4nMrNl0TVxWWJqkN9nrRhVimmEgTOpiFJzchr68VZ3QsA1ELoe/Lg4JET0aBjAc7rEWOs15hUrrJ5RU6Zr3frryH2V4n242Jf/8kcczewajICXrwxQkREdjCqpHtMjMyj+bxoNiSyOqP/Az5ESkRERJFWvwVYu6XLeBPZa1EpYH69cvf62GoEIFs5/cMvo02X4e7vKJxe7MdNFxkl5APBf5VY0qfEdNI6AHy5R21Ex8ScDxi2aiXfdv16x7ph+/ILCmK/N3IksGxZ9WkTJwKdOpnpFSVDMhLKfT75tq++am1ZbmYmcX3JEvm2PXqo9YcoGl0HNm+OnO7zxU5aT4TJ60TZw/WJ60RERJQpVK5CdMglPcot96nNmZEcohf78UjBprApIgg8ojAUBG49EpANrO/83Kmepq+8tl5UBOKfIn+5p55i8rrKesqMWsp8tWoBg9t9FXwVa50PjRTxpzOsL/O7vcCTpWJG4/9+HjRfPurd+jfsO2B93kRElJ0CupG4rva5WoX54EOkREREpOL2KUbBD7MYbyJ79VhgZZ109/r40sfyldMvHxB+Xp+9MeJhd4n/X3Tmr9CLS6EX+9HlFmvzPLeR2oiOsYnCGc88ZE/hjIRLM1md1q00Dbjvvsjpzz7LxMR0dPvt8m1ffNH8cjZskG97443ml+NWixaJ7WPrVvH6jjvUKqkTJdvNNwPNm4uf//53cRwrKopsV1wsP8/27e3pGxGlNyauExFRyuSPFpXmNF9+8J8X73ya6l5R6qgFbkMVxu2qvJ4ZhnQI/S4V60QQeFxYQGPTR/KB9SaDsith5tsfEZa0Huv7EdO/3FMPB36Rm2+bJn4kHiVAvP/KuOQEyIlSbWqXTzG43ZeIv12YHy44XO32rXH6/QUAcoNTPAA8OFxeHyd2KkCje2+yvAwiIso+RuUrTaHi+v/9HyD7EGn+aPN9IyIiokxjNWndg56z7eoLEWAtad2DOWvs7Euymauc3v4a+Rjx2mGZFSPWYe6h33hW9H8fciPz6nHahQpndEpicqyuAxs3Rk4vLMy8pHU72lDyrF4t3/auu5zrRzbTtOiV0Jcs4fZC6U1mhIDCQvn5rVtnrT9E5A5MXCcioqT74juRsO7/wBga3QNjaPRmQzg0eraa0VE+cNuvlQjc2pe8rqHdBIuzSAP3zwRO7Hhz1evcdt7gsK3hsnNIUhkXPXgLEif1o6pN/vhmUvMtHgWI9RRIFCC/4VKpWRJlhKldPsXR1aUAfgxOCQ0X/H9zrQ0XbKjdvjXKKnLitvlxfx0mrxMRkZK244Frh14DAPjih7rQfF5s2pn4c0OHFkD2IVL/B7wuJiIiIoOV2Kc4t1j4Ms8tyE5m10mxPvZb7ub10Vzl9DXDANkYcbtrTHUsbYWS2ezLyj62HnDVefuDrxKP6BibPYUzVLVqBfznP9WnFRUB9eoB+/YlvTsR2raVb1tSEjlt+XL5z3fqJN+WKJPZ8bBH167yy1u4UL4tUSKhAh+p7QcRuQsT14mIKKk8Pi/O72UkrMeqMMeh0bPRwOcS/c1DQcZZvcOmxk1elw2Ealj/nrvXOc3nxZJXjW3LkIMeC2o+DJK9Q5ImcvhobuJGYb7de4x029B6GktqAuREqVarFjCmw34AwAOtvq0aLvhPZ1if93d7EZa0Hn8UhR/318G+A9aXSUREmU/zeVG0Pfy8WzyE3XqszEPYfIiUiIiIzJKpLBwPzy3IHiMXA+IcODvXx1sukS/A88ET1eO92RojDuj2V1wHgO0ztoUlr0fn0cR32vz87UZvYBTOeOYhewpnmFG7NnD66ZHTDx8GTjwRaNQo+X0Kp1LpNj8/ctp998l//tln5dtSZmjTRr7tK6841490smiRfNv774/93uLF8vPp3l2+LVEiMhXXiYhq4i6DiIiSxuPzQpc+9DB5PZsMmAeETkviRy8f7xAZSNSL/Zh4WwmASoQHHtWC5+4NlottJd62FdqeWl0qH1h/f3rmBcnjqVu7Qqn9mQ1/U2qvF/vRpomxngLGevrKuNQFyInSQSC4O7Kz6hIANO7XEiqjKDR/9G+2Lp+IiDKPynl3dHyIlIiIiNRMfx6QjZvGx3MLssf4Ii/k4i3xuHd93DQekK2cftm5Ud4t9qP9NZEx4rXDMjdGbCSua5r9f/ftM7bhl+dLAPyA6t+p+LduuPhOB90p+tD0jweqCmd0utH27kipXRsoK4vf5scfU5+8rkv8uWTakHvcdpt82xdeML+c4mL5tjfcYH45btKjh3zbJUviv89tl1JBr7rPF7tNUZH8/Nq1s9YfInIHJq4TEVFSfPEdwpLW5RLIAA+WvuRsvyg9zNwoE+wW7z/8fPREkGH3iqCvCDqWBoO8aonr5/W4XqF9erh/JhD/5pUxzYNFpcDGcYBsYP3K823qpEt8MuclyFWvEm1KR7ytvIziUcAbk94FAPzptMPQi/244VLl2RBlFN2hqku/HFEbReH7/9WxtwNERJRR2o4HZM+7N+2MPo/Jk0sg+xCp9/LMTFohIiIiNSIWaiVJWJxb9LiJ5xZkF6sJ6zpmd3b3+mi1cvqaYcBtf30jbIqG9pO8eOJFu3qYXqqS2RyqHXRsPQA4CaHrNQ+MkbEKJ4iRsXzjrwQAbP9XfWg+L3Z+7kxfEvnuu8RJ64YffwT27XO2P/EciDM6ZUkJE18z0apV8m3vvNPasphc7SxdB7p2jZy+cCG/V7LXvHmApgHvilvfKCwEevaM3tbnk5/v2rXW+0ZE6Y+J60RElBTn9zITYNfQdS6rrmcHtfVCVslImeriIV/uqYcDvyh0JQ0seVU+6b/HArE9ZeuQpImceTKQ64mX1B+afm6jQ6h/nLnleIKVZQIMDhEBCG0LdlddOq6O2igKp/7uiK3LJyKizFK0Xf68u/XY6NexF1wAyD5EWjrWXD+JiIgo09iT6bnwZcbZybrOMwA71sl+y92/PurFfjTK/Sz4KjQK7AdPJK6crvm8WP1Wi+CrUJL1wOcKMm4kYu8oIP+xJgCA9784HprPi+2fJfiQIpmRsYCcaj83GZSa77pxY7X2zZs7049EzjsPaNAg9vtt28b//LJl8su65x75tuS8ZCaU6zrQpk3k9FdeYXK1HRYvBn7+OfS6ogLo3j11/aHMo2lA796R0xcuFO9Fw4dWiCgcE9eJiMhx694BzB9yPBi71MbOUJpSuQKRb5t/FSACxjLBdJFkkj++mUJf0oG5pH+92I9Wl0YOSfr+9MwdklRG+Xp/WPJ6dOc2OoQvFr5mehnGMGmBgEMlZohcxqmK67tmb4bKKApbJ7yRoB0REWU3ex62LSsqBR8iJSIiInlWMzdCo8IUjrPaF8p2z7xuPMxpVmh9HLzAhg6lyO5vRLL0noo/Vk1rcva7qFjnx2Xnxv+sTJJ1piSvaz4vNn5YgJpJ41cPti9pvP1EY75A/JGxokn+d/2LYuGk7793ph/xnHce8OWX8dtUVAB5ebHf79xZfnkrVsi3peTQdaBZlFulL7xgf0JpcTHw+uvi5z//Wcz/hhvsXYYbLFwo3zZaJfVYPGGHm0D8W59ESmIlpsu00XWgqChyert2TFonyjZMXCciIse1n2QlmKlhzLrMCNJRIomSC8X7j3dQS+LwyFw5hfl27zFK7VPPfNL/xnHAxtE7AACXn/ML9GI/rjzfxq65VPl6P75ZVDOpP4Dj6/yM/c+VWEpaB1hxnagmI2CquLtO6LSGQK1cYzuOP4rCyQ2O4IT69i6fiIgyjX0P2+rFfrw9xTjfNO4cVsJ7eXY/REpERESRRCxUfkTJ6ETBjuIdjLOTVXYEb8T6+HipO9dHzefFRQ8aydhGqoUH73/dDLntCrD27UYxP/vQU4BckrUHT7xoU4dTJFkJ+uvelR0ZK9Y0D3Z+brkb0o5THMX11FOd6UcsBw4kTlo3VFQA334b+31W1XW3hx8W/2/WTPyddB24805nlhUq9uTM/N1ApRL64sXybZm4Tk6YN0++bc+e0af7fGK/0qmTeP3448Datdb7RkTuwsR1IiJKAqvBTFYlzmS3TQbiB2uB0I2ZAAZ1UJt/3doVSu3PbPib2gJSrOsNMjevxPsLe0YmwUx5QXzug6+Og+bLh+bzYsUrTvTUXc48GXig1b8BAGM6fA69uBQH/v426isGlqMxknMDOvdtREBo72U81GGno2s3hiWvR3dygyPY88zLti+biIgyS2FT+fPujaMTJ59f82eRwD643VcAgIfbfY3SsXb0lIiIiDLJw88nSuxUuZZmLIqssjN24771MXEyNnDr5CYxk9dnb5JNstYw8Dl3JvYDgHcUIJugv/0zq0uzOgKAhiaDkvdd79ql1n7rVmf6EUt+vlr7iy6K/76uA8uWRU6/5x4mrac7I8nZk4SMMiauC0487DFpUujnOnXE/cmRI9XmQVRT797ybRONJsDtnyi7MXGdiIiSwPpwpvfPtKMflI7WvC0frDXjkzkvQa4qkWjz1qcNTC0nVRb3B0JVGqP9jqGk/+41go6az4vXP/tL8JUHxlCd986yb6hONzMSyzWbk2kfWynm981PdaoeFliwwdZFELlKIGBsa87M/+jajfjP4hIARxHaXwZQN+8Afl5RwqR1IiKSsn4EIHve3epK+fl6PMHReALuS9whOb3miGsvce4f/s+LDtNS3TsiIkpnD84FEhf8UMEsQTIvfzQg1ke71iN3rY+7vwESb49i+t3TL0Jl1DoKKtuxe68PNn4of8/n6sFW70PYsR4l77s+7TSgVi25tiefDJxwgrP9qSleBfVoDh9O3KZzZ5Fs6w3+qRcvBlasUO8bJRcT11ND16Mn+nbtqp60rmnA5MmR08ePd+5eDJEqbv9E2Y2J60RE5CgxnKHVYKaGJa8yiTZzORusPfNkINcTL8Gk5rw92PaJ8mJSSi/2I5REE00g2CYkWUN1upkRBPLYGMDRfF6U/uO64KvQwwIPLOLDApR9dn4utolp684BAExf/we0dqjax2kNAb14M6Z3/RQA0LH59zi05g2cUN+Z5RERUWYyc94dz6+HgClrTgEAzCg6G5ovHx5fK3z9g7V+UvrQfF7M31IAIAeh8//QdcALb/I6gIiIYnvyJdnkT0BmVBjfVfLnKUQ1+T+QWR8NiddHt2ncT/b313C0vC7e3H1ilPdUfm/3fUchyUvQb/cXmZGxEknud330aOLk9ZNPBvbsSU5/wp15plr7unXl2+bkiP8zOdEdmLieOt27i30AAHz8sbhXuXix2jxkEtOZvE7pgNs/UXZj4joRETlKDGdovlp2CK+eMlHb8U2g9rc1F0AsX28kmCQOKgMarhvmvsQBvdiPlo3fCb4KBP9VYmHPkojkmY6PA7JDda54xYHOukQguLrZFbzhwwJEIZrPiyaDwpO4ACAHmz5yNnnLExxBwc23/oiIKLX0Yj8uOenD4KvQeffG0ZHn3fE0HXgtjutQAODY4BSRzKwjD+f0LEBOIc8L3S7x+b+B1wFERBSLalAq1tWumM/LH7Wy1BvKdvauj4AHd0610J0kM0bnlPXDvtoR0/q1kkmyFu/P6OjmB02Sl6C/djggd+8n1rJ1vD89+d/10aPAf/4T+/0XX0xeX8KVlqq1/0ShCBSTE90lmYnrjz0m/v/11+J+nKYBCxY4v9x0ZuX7HztWvu1IhwoJUWZ76in5tj16xH+fxwai7MbEdSIicphdCedMMcs0v/0GFG1vJNlaBBBXDbESQMzsYTjbjAU277o6bIqO1yf40T0/su3KN+SH6rx3VvYmUOjBmxFGoqsV3WcBsg8LLNhgeXFEaS2VD3EYD6IEAu7bzxMRUfp46E5xHCm46ifoxaXQi/1odaX855sOvBY7vmgQt01A9zB53cV6zQHin/+jxnsedJjmaJeIiMiVVGJSibM9Dpflot5tTF4ndeK8VDW+njj2/Pdt7jnfVY0Rn3LC0Yhps3oDoW012vyMaQEMuFNpcWml9WXyCfrvTbMjadxs0joABHDl+TZ0wYTTTov9XosWqamGXL8+cO65cm1zc+UrtG/fDhQViZ979hS/m9c9m39WqhqR2OGMMk0D/FF2Aw88kN0Vwa0kro8ZI992/Hj1+RP16iXfNt5DKF9/DSxaJH4eMUJs8w0bAr/+aq1/ROQeTFwnIiKH2ZFwrgPwoI3CE8KU/gYvvxjy1fg1AAHc9lcrS8zcYTg1nxclO43KxYAx7HyLR2NVLs7sJH672Flx/elX5B8WeGARI7aUuXZ+Dsg+xNHagWofxvbsrr08ERGlm0DVA47qn/31EMKS1mPNQAsux4Ovf1BfBqXe/C0qo8+Jdi+8yesAIiKqru8t8smfiW/5imPS4bJc7PnZlu5Rlvj6B3FeKifR+lqTe2LPu2bLbI8AoKN23mFcd2H0DU2M0hTvQZOA0khO6cj/GCCboN/0T3Ys0WykL7Xftcx9h1Qk7n7xReLk9dxcoLxcbn6aBlx9deT0jRuzOzE5XVVWAldcAXTsKF6//LL4O+3ebf+y0nUbSAfJrHhPZIYuceiN1yYnBzjnnMjp//0vcNxxQNOm5vtGRO7BwxwRURLMXScSSzVffsS/erf+DfsOpLqHzhgwDxCHGqvpYeImbslO3sTNJHP9Zyl+wlp0Iv8K+Rs9b05yT2DYXOXizE3it5OdFdf5sACR0GSQ/EMcmz6y/7hvbM8yQTUiIqJYQjcQ1Q8onWc2gVxCs2hzYV9WRXUnM+f0zo06Q0RE7jSnDxA/wTWU/KlyfnHZgJusd46yhjgfVStAI889AZoLzwLiJ2OHpq8c9AlycmI0gUhe79eqBEBl2DwDAALo39o99ybiSWaCfughH1mi7eB2X9uyfDPatJFvu3Wrc/2I5YsvgP37I6d7PMA336glrdvRhpJj7VrxUMIHH0S+d9FF9v6tuneXbxuvYnOmGTlSfM//+594fcEFwFgW9qM0pevAU09FTu/RI3HSeiDB6eKOHUxeJ8oGTFwnInKY5vOi71KjErIn4t/h8vo4sVMBGt2becHimRtVKozJyI7oxaad0R90yKSHHMTNeLW/Z16OSsA7UskYIHFgWbhumDuSBcQoBHKVi7fuCk29+2/ySfzPPJQZgXIz7Ky4zocFiAypfYjD2J4Dgew4pyAiImdYqbj+9Y/1lNofLY+T8UJpqe14wNx5jAYmrxMRUbjEBSsAIIDaeWqxpP2H8kz3ibKP6vlofe1XyMae77jWXbHnxMnYwJqh76N9sz0J5zV7k7F9G9u4GEV15sZYo6i6j17sx1l1jTLNgeC/Srw3rcTWSufiIR/1Sv/T1p2DsjLbuqGkpES+bYsWjnUjrvr1gQEDxM+PPCKSECsrgTPPlPv89u3yy/JmxirvamvXArfemridXcnrTz8t3/aBB+xZZrrTNGD8+MjpY8aofe9jxsi3HTFCvi1RNL16Ab/7nfj5//5PHCviPWzy9deJk9YNO3YAv/5qvY9ElL6YuE5E5KBQYDnx1cSP++tkYPK63UlhmZ/Mqfm8aD02+oMObnzIYcjCaEn48tuFIILYu5/caLk/912fKBgaSvRebH1xjhOjEMhVLm7xaCjy99zDgOxQnZ1utN5Pt7Kz4nq3G+UfFpjf3V03bIjUpPYhjqqK67bPmYiIssG+A4Dm+xt6zbsIALD2nZORW9gS3+2Vn8fZJx9SWmbtvEql9pR6RdvVH9SuzoPd39jVGyIicqv2E4H4BSsMHtTJkyx9G9Sgnlp7ym6q56PXNz0M2QIyf9/mvmxVvdiPT+YY1dIBIyG7ydlvo2JdiVTSurlRVN2p753i/52u/w56cSn0Yj+a/smJJalG+8RDo09tPNuJzrjetm0iUfaJJ8TrqVOBggK1eVx9tXzbjS64H5fJKivlktYNu3cnbkNq7BydYPRo+eWOGyffliiWyuApkUciA/XCC9Xm3amTen+IyD2YuE5E5BC5aihVrQGI5PVMqah922RA7UZtoqCSDi3D08xkE7rd8pCD5vNiakm0JPwcqN7E1xDAeadZ79Oy1+QTvbvNc0Ng2Hzl4mQO1ek2pTvE+vvs66cCAB5eegHaTbA2z0UPAbIPC/RUGCaUyG3eny7/EEerS+3fB7HiOhERmdXo3ptwYqcCAPUhrmkAwINKvTZOv78Atdu3lprP8v7vI/GxEAg9wLvJbJcpBRrc1RLWQu7ierRxPzdcjxJRuigrA8664+yoxSNefDPVvSOz1r0rH8c8cLgWVM4vPnziZXs6SVnhSLkHKuvXiv7v4+NZ8gVkbnnUag+T78KzgNv/+iMAYE6PT6AXl2LHrJ+RI1GcfvrzgOwoqgPmWe9rqhkxuByPs/f3Hu9gxBzVfPlDXfs743KaBlx3XeT00lL7qm1TenlT8XyxcWNn+pGtRo6Ubzt2rFw7XWJ3KNOGSIZRQV0mcf3oUbV5f/mlen+IyD2YuE5E5IAhC4FQArLsVbxoe2KnzLg5ueZtlQpjeo3/x2qVI50M4Ca3PKpSnd8dDzmoV1WPJ4CAbQnU5hO905O1ysV6sR93/61mdZhKPPOQvUN1uonm86JgXPgDFwCQg/XvWR+ilQ8LEAFXng/IPsSx0YFqH6y4TkREZjS69yb8uL9O3DZlFXLXq8fWA646b3/wVawjkpju0QI4+xT5flJq7f0fgomD1gV0N1yPElE6uHfGn1H7tgJ8e+RiRCsecdc06/EMShW1OGbdWhXBn+OfX9StVYFGJ1rpF2WTde8AcpX/xfp11Xn7cWw94NKH5B+82LzLuX3UhOXRR4Tt+Lj5eT6/Vcxz1VuNAAAPLrwQd06V//zDz8t/NzM3unf//cV3gOZrjSHLLwAALHvldJzR+WL89pszyxvUATAT8Tv3lMO290WGSvXy1193rBsR7Kz6TO7xww9q7QPxbnNJ6tZNvu38+daXl87Gj5dvO2aMfFtdj95+xAgmrZM9hg0Tx4RffxWvzzsPmJCgEFzt2mrLOPdcc30jIndg4joRkQOmllgZFtqDVz+yszfJ98jSP0PtECNzdSS+z7KKHKVh2NPZrq9FgHPzLiNJNjMeclAbbSARHa0vszOR11qid7opuFK+cvHrE6J/j889DPRu+UrwlVi37p3lxbhldvbUHZIxRKte7Ee3G8MfFgCASszvnr0PC1D2SeVDHKy4TkREqvYdQFjSeqzjh9r16vYZ28KS16PzaAFUFvH80E2aDr4eagUMYjMetiMiikfzebHi9XOReL9jPZ5BqaAWxzy0elNY8nosFTi0On1Gc3noqepJxbUKC9C2bQEGZUCV6UzRfpJMkjWC7wewfcY2AGL8XHnOxGg0nxcj1kQfEXblG+Ye6tF8Xtw9PbLoyd+3qcwv9d+N0zw+L87vVQAgF6HvyYP//O9s1L2zAG3HN3Foyar3fwLo3fprh/oS34YN8m2bN3euH+G2bZNvK5N4/9578vNrnXk1y1zlFMUH5mWqKieyaJF82549rS8vW40eDSxZUn3a+PFA586p6Q9lDk0DJk+OnD5iRPwHnHbvVlvOihVq7YnIXZi4TkRksw7TAKvDQt840r03EsrKgGnrzlH8lA754KeGxv1amupbOtF8XlzykGrCek0ebN1lY6dsEFr/7blZDwTgf8yG2QTdd718ovfTvdI/SWTDaEC2cnHzGEP3aT4vntp8s/EKRvB+1NrsqshVugOQHaK1XYKnxRNZ9BBw8IWXql4fXrUJPdtYmyelt/YTa1Z38qJYIXCfifRiP96fHjniQ6tLnX2I44mVYr9YvP2kqr9Fuh1LiYgovTR/9G9w4np1+4xt+OX5EgA/IPx4qKEcXy0oYdK6C+09qFg2KipxPRpg3joRJSBfOCIUz3jxTQc7RA44iMRJmOK4UfSoOG84tHoTflhqXGvX/KwGIDdt4n2az4vZm6InFc/Z1CZt+knmkqy1FBeQSTwirIiDaz4vdn+jOs9YZB8SyqziOjV5fF7oCY5PRdsbOZK8vmqIzP0fVL0/uN1XqGXPgEmmyFQ8TmZV5Ouuk29bWpq4TdOm8vPz8/I3pVT+9gCwy6Z4erptA5lI04CuXSOnP/MMR08g86yMznH22fIPv1x1FXDssfL9IiL3YeI6EZHNXnjTSrV1g3uvFJ7aeDbiBwRr0lGvTqJKMNX9ciRXtVtpxb6K5BpaPJpeAXx71n/ACC7e09zeaNXSAUD8RG9DAPe7pMKDlcrFyagw7hYF4+SHaF3/nvXvJPyiPKC7d59P8R34RWxn696teSM2B4UTsuvhkGiuPB/wNRVlaRf22QW92I+N45xbnubz4tP/XRp8FfpbtHiUfwsiIort+//VSdwojMr16rH1AL34fTw7UAy7dtOlPyNQvAlnK1Y7o/TQ8PijNsyFCaZElNjOzwG1whGi3V3TeN3jFk0HXgugQYJWoYIVvqtDU0/pkv7xvsQxyVBSMaWauSTrj2apJRDbSe3Bnhxc9GDiuNDzWwHZoid3To2/1Mc7yBfX6d/aXdm8X3yHsKT1+KNVFW1vhN9+s3f5t/0VkLv/Awxu9yWmdvnU3g6YoOvRq5e//npmJOwyMdkdcnKANWvk2194oX3L1nWgW7fI6fPnZ8+6MWKEfNsxY+TbWkkuJopl2DD5thNiFIKrrEycvH7VVcD27fLLIiJ3YuI6EZHt7DjD17BAYZi4dDJgserVqo6zTzqi9InjFBPd08mur4H4AU5V6XNF2WoEYM+pReimy4pBNsyu5twTJnoDbrsxohf7cd7x/wy+CsCoXPz6hNiVix99GpANto9bZl9f01dyh2id/Fwo4nbsHa2g+bzBvwllivN6XI8GHeONrMGbsACqqol6NGej0HxQh4iIzDr1d85frz7xgjgOvvzRiRydxcX+30/HQC5BKxEmmBJRfE0GmS0c4cG05+zuDdnt10PAji8aBF8l/jt/tSAU+yscB8jG+7Z8YLqLljz0lFh+9f7Ewmv1VFs7TD7Juv01oXWx8dmAbAKxnX/nnrPF/NRHhI3fh7unyxc9+fu2+L/LoA6A7CiqT/SKO6u0c2Hf1lAZrWrw8ott70P8+z86gEocXV2SFknrhg0bgFatqk9r0QJYtCgl3bGdrgPvRbm+bd06exKT3aB9e7nkdSf+ZosWAfv2hV6XlwM9e9q/nHQ1TqGYz+jRcu2WLpWfZ+fO8m2JJk+WbxvvoYzKSuCrryKn//73wC+/MGmdKFswcZ2IyHZ2XLFpeGCR+wKyotqP2k2THI+OrRPegHz1DR27Zm821b90cOlDMgFOFekT1XnpY7uqrQPxqoRbNXYpkLiij2gzcrEjXbDVd3sBzdcSXxy8qGpa3bxf8PMKP5o3jv25icXywfZRa923P1KXvCFaNZ8X44vCv1NR9XliMas+Z4rzelyPL/fUk2ydnTdhV7witoWSHScBALo92RgdH3dmWW3GArI37rfaNMwpERFlDqevVzWfFzu/vyL4iqOzuNWrHwFySXgq1xLp86A6EaWPFa8A5m/taXjkRR5b0l2nmU2gkvh5Yd9QtmPxDvl4X8vRqVkXZm+SjY8bbTz40wN/drxfFF37SYnWk1CS9ZoaFTjlCsiEYjKi6I81C182c48i1Ifd3yRqozK/2KyMoprOyivVjk+ff1/XkX7oxX6sGlICoBLhhX5ubSYK/dSq5chiTdM0YNOmyOk9eiS3GvKbCiM+5eerzbtpU5HwPHy4eP3QQ4Dffat4xmvfHqioAHKjDCT3ySfOPmhQbZTiRIeODGT36ARdu8q3feYZ+bZEdjr7bLFez5ghXnfoAOzdCxx7bGr7RUTJw8R1IiIbhSpO25O87jZq1X7ETf1P5vhxQn3g5AZHwqbHd/r97r3Botv6d9UBeLCo1MZZmiQ//GY8otrFPc1jVwm3w5h18jdwqicXp5/a7Vvj9PsLANRG6Pv34HB5fZzYqQCN7r0pzqeTW2E83ZWMlK8e1PZq8+snqz5nvgO/ICxpXf4m7KxVzvYrnWg+L+6dZVSjN7aHHKx8w5kEvZKd8vv9Fo9y+yMiourkrlfF9Fq5lTitofy8eW6YOW4cqZKEJyt9HlQnovRx7yyrhSMyP8bjdl/uUUvkPFqeE/YqveN9tX1NoB5D1vCv78/FI0uZvJ5sT7wIyFbH79cqXrxULj4miv6YV33EAVWiDxc9GKsP9hc9CSWv12zv3lEa83LUsk3PP/WwQz0Bbvur+I714tLgPz9WD3VscabJJKYnK3n92mvl25aUmFuGkZycjYnJbpGTAwwNbit9+4qkUl0HLlQdcF1RtieuA+J77tcvcvqYMRydgDLbk0+K/z//vDjmaRrwzjup7RMRJQcT14mIbBSqOG1HFMGNVyCqv3cAfzpD/LTnmZcBJBqCPVT5YtNOxUWlgee3AvbeEBDrWo8FqQ1giiokdiStiyoiKwZZ71N86X0DR1bt9q1RVpETt82P++vESV5PXoVxN8i/CpAdonXdo+aWMW4ZIFv1+dGnzS2DUq9BRzPnAhr6r3DfzSgzUpOglxn7fSIiSp09z7wclrweXa3cShxdu1F6nu0nArLnhsVRhlWndKOakJ74gdkXBrMEIRFFY/WaRcODc23pCDnk3EZqiZy18yrDXqVvvK/t+CYoQyOYXYenrTsHZWX29oniG/icfCEAUUk/1vtyrBb9CY04YIUHL0apOr1ykHzRkzuulTuHy8SHWHc/uREqo1VN6/xP5zuVxu6/X77tokXO9SOc3VWfw/32GzB+vPh5zpxQcuIXX5ibH9lv507xNzH+Tk8+CbRunZxlM3FdMEYlAMT3oOvA6NGp6w9RTUMVHgIz9iXxaBrw1VeR05s1S+6oI0SUGkxcJyKylV1nT6KStpsSF5dvAdR+/2hDHdaSmIcIhLYe666AHQDcPd2OwGk0qT1rb9zP6gMbOoCyJA59mb43cGR9txdhSeuxvncx/cf9dbDvQOS7w33ywfbH2mdHwoTTQ7SOWit/s2disfv2cQRs+wQwf4nlwaD5NnYmDVUf0j5+gl7Hx+1csvv3+0REqvYdADTf36D5vNB8+WH/vCjdkereudOeZ17GzytKABwNThFDzudoR/GfxSVKSesAsO5d+XPDwgk8N0x/KucQ8R6YDbW58zoL3SGijDRhOWBH4vqTL/G4ks7Wv3cSVBI/dz+5qWqK7yr5eN/mscmL9/32G1C0vZGFOYgK1E9tPNuuLpEUOwoByJ8jaRZiMg3uagl70h403DUtch/ZoTkgW/TkxUcSL2XdO4BsjOzWSYnnly7OOw3QEp7riumFTffgmGOS0q20tWSJfNsePZzrR01Px7g3nZ9vPmm9bVugbowBRc4/v3rSMqWGpgFNmkRO37QpOcmjTFwXjN/d47H2vavsX+691/xyKPtMUjgveTRBIbh0GnWEiFKDp4BERLayK9nJfYmL981RScrW0erSaIHxTK+I6lSfU5tkF9CtJKxX4qflJdCLN9vZpbjGtJO/gTOiMD0Tthv3awn5Yeg1NH/0bxHvTOgGyAbbR95nqpuupBf7UTKyBIBRrSoAoBJtry6x4eGKTN/H0XXDrDygpGGG3z3HfTNCQ9onTtBb+YZ930XBlfL7/dcnpOd+n4hIRaN7b8KJnQoA1AeQAxH+M/7loGBcgesq96WDVz8CTuzkBZAXnKKjTZNSVBRtxmkNzcyR54aZ5JVx8ucbbZokemAWcGOFTSJy3og1dhXF4HElXb3zKRA/mdUgjjceLYCzTwlNLRoJyMb7br7cfD9VDV5+MewYqfbLH2JkPZJDrBcCaNlY/hzpo1nmYjJ7/wccOFzL1Geji76e2ln0pP0k+RjZ2nfcdU4YKPaHJa9HV9h0D9aPeD9JPSIVmgZ06xb9vdJSc/Ns2xYoKorfRteZvJ5K6ZA8Only6OfjjhPLS5T0monCE9et6NJFvu3y5daWRdnHjtE58vPll/fOO/JtichdePpHRGQ7mUoostxxE2HcMkDtkKJj47jo01Xm4SZTVgBqf89KyFfW8WDkYpMds0gMm6m6nopEYN9VIhG44e/s71c8o7sYfQASVbgbpzBUYzL9ciRXqf33/6sTdbrTFcbdKv8q4JoLRJn69cPfh17sxzpbAmSZu48jYPFGwPrllTuO++alJkFvw2hA9sZ988a2LZaIKCUa3XsTftwf/dyvOibFqtB8Xtw4sgChBwEAIAcb3rfyEADPDTPJjSMTrQeh843zTwLinzeGKmxOe85qz4gos9h1naSh/USbZkW2ajZEdmRLDUAAlUWRcbt0jPfN9Z9ly3yetGk+JGdGR/mk836toq9TL00AZGPxjU0W1G86+HrY8WBESOx+Tr7d2L6M30nc67jjWtWiJ5n9EOuaYdG+pwBO/93XOPxiCZPW05QTycu//ZY4ad2g68AXX6jNn6zbuVO+bevWzvRB04DHHoucPnFi9lVbtitxHbAnuZgoFl2PPhrI+PFy65Vf4bSpWTP5tkTkLkxcJyKyibhZnWi3qnr2746rhVFrVav9RP+9CpvKB0I3jnZXMu3QVWoV6e+41gjsyVXUHl+UmqQTMWym/O9VO+8wKtaVQi/2BysApUbiGzhAOifzHFenQqn9qb87EvM9vdiP4T6jwnj1QHK3G921ndkpEBDrtZ1VPh5rL7+PG+7L3u/erbrNs6PynYbbp9jRm3SVugS9dLxxT0Rkt30HEJa0nqhyHwB4ULrD4U5lgMTX+uauG9r9Rf7csOhRHqPS2YINgFx1XKDbjf7gKDtyFTYfeTE9r0mJKFXsG+1z3bvcv6Qne5JZQ9fANdcZDcmOeW7/zFiuVaKAi5gfJcPA5+QfzJvVO04rh2Pxew/WNvW56MR6Fu3hQc3nxdBVNR9mFSNb/X2bat8z9yFWzedF+0nRvicN//nfmTjmmNT1Ld107SrfduFC5/oBAIsVimOpVHIePFitHxdeqNaerGvSRL7tpk32Lz8dqr2ni86dgTPPFD+XlYnfe+lSa/PUdWDJkujveXk5QBYZoyLUqSPWNV3PzpESiMg8Jq4TEdlg9zeA7E3KUMBYrpJ2p+nW+pYcaknr9zSPftN9/QhAtvpGqysVFpkW1L6jFx9R/YwI7K5L+lBJatGClYM+QU6OQ11RsPQlQLbCXecZzvdH1a7ZmyG/H9GxdcIbcVtNLDaSccIDyTl4+hUrFSTdLRD8aj2afTcGRt4HyFZ9nhBjOE5KZ/YM1776rczd5p55SD5B7+6/2Z+gpxf7UXCl8aAOYFTFen2CalUsIqL0dGIn2QqdqGpXMC5zjzt2ePUjIP61fui6wRelOlg8a4cDsueGvqvV5k3J9cAi+UT0p19RfdgxS+7QE1FCPWcD4phkX/K6rLnrRCKi5ssP/vOi1xybukE12JPM6tSDd2ZcPdiOB/0B41gq5kdOGzAPkL3n9XiH+DGVO6eGzyua0Dn181ululfNoSN2pjtEf3jQ7m1q7TD5GFn7a9wTs0qnfY8bqCSLd+/uXD8AoJvC/Yhly+Tbfv65Wj/Ky9Xak7uNizo6e3SZngyracAzz0RO79rVeuJ+rIdk/P7seSiA7NexI3BWcDCkI0fEurRiRWr7RETuw8R1IiIbNO6nMoRnDlQqaT+7Nb2DON1nAWqB5wBWDIr9rtsrYcdm5qaDymfEutV+UvISjUXVEbW/fftmexzqjZquc+UTC555Pf3WtdMaAom3E7H+nNzgCE6oH7sVg8nRBXSxbtgdtGHV50yW/OQBt+l0IyCboPfcw870YcNo4JVx7wEALjrzV+jFfjRv7MyyiIiSSW4EsGg8mLPG7t5kjhtHyl83bHhf/ZyZ54aZQjURPXMrbBKRcxa+rPKAmgwNTQdem7iVz4u+S8Mr54piB/O3FIQlsotkdjECBVnx9hT5ZFbv5dHPEUIPOQCJHrybV2Sun2rsjnNkbtwknczcKH8e/PDz8c+DRTVyuXndPV3tnDr0oKnMOZPq/RZhygpjGdWnR7b1YPACubm3uwaQjZGtGSY3z1QTRZXkvqdbJyWlS66gS6yWMm3S1fnnq7XPy3OmH5SeRo2SbztxonP9SDUnq86zoj05QdOAlSsjp997r/z6pFLx/+235dsSkbswcZ2IyAZGgqO8zKmupVYtTMdwX/yb7qJaj1z1jbnrJBebYn2eBOSCp+Kmw8P54jsa0864UaEiecO9iqoj8n/72/6aTgkX7t4GZROTTm5wBHueeTnm+4mHtA9tb+IhlexhBIPtrLheNe9iPx5rb1R9Nm5QBAAEYo5IQelt9BLAvsp3Gta+3ciG+aS7WPtW5xP0PMHdnvr5GxFRelpUChhDr6vT0G959j2kKM/56wa92I92f4kcEaToUY4I4h5qiegDvfJJiVPv5DpARAa10Rxl7PiiAX49FGeJVfGnWDEjD8KT2R9YlL0j99ml2ZBE318ombV0bPQWcg85iPd7L3b27yVGvbT72tvFGZyuYud5sHPn1HIPmpoRWs+GrpLfph4vld+mZB5iPfyie84F20+S/57WvsNjRbhEieluTiqdNk2t/e7dzvSDYnv/ffm2rVo5149s1bmzfNulS9Xm/Y7CKO35+Wrzpuxl18MQpaXyy7zmGvm2ROQuTFwnIrKBemJjJlXXUrtpMiHBcHPzt8gHt/oudUdw66nNKhX5A5jWU7wa3QVIXFU7lmQkr6v97VcNcawjJrh3G9y0E0g8TKvo81/+GDtpHTAzpH32CATEd+Jx6Gx51Frj5q+xAHGT99mtvMnrRo+tt/cm2d3TL0JlZeJ2bhP/oZvk7WuN8zZjOycicrseC1QeKI2G+8PYknPdsHY40O4vb4ZN0VA4wYtZq0zPkpJofnf5RPRuN/ox/QEgfoXNEPHAOBERYLZScPw2GjrNbBL93bhJ6/Fk58h9dhBJ3olifsK9LeIls6ZPwY7QqJcyEh1LjTYeLN9iqVskxc7zYCfPqVUf6pE7ZzO/DLVtKpS8Hm2ZOah7ZwHajo++n04/6bPvcZt0qIj89NPybe+7T77tMccAhYVybTUNOO88+XmTPa68Ur7txo3O9SNbPfOMfNuuXdXm3ayZfFu/e56TohTq2FG+7YoVidtk+qgjRJQYE9eJiGwQ0AHZwGrtvMNY0kf+pmY6V9/VfK1gf7WfTAxumf+dlj1otuq6UXm9+pC945YpziqGB+cay5GVXlcVKttg/BtBydd6rHyyedH2RDcK7rAAVgABAABJREFUM3F7s2bOGnFz9sOvjwMA3DL6quCoCfZJXDGfN3ndx87tQ8PR8rp4c/eJNs4z9SYsB2RHeBi2yNm+hCquO7scIqJkkB2JJ8FcpIe0zzavjJO/bmjTxPx1g+bzYt27zYOvQpVr+6/gQ41u0LMNED8RPVQdd9FD4qeZnRKtL6FzI3H9Telg006xvYbHWdqOT3WvKBsUjgNURnNU8eWeuhHTzCeth/ZdYpQ/UhFK8k4c83vm9XjnB+lUsEM1fixT+EXDfXN4fuS0/q3lz4Mf7xD/vOaOa+XntXKQ6jm16vqe6OHBaOdgzm1THonruaLtjVySvJ5O+x73GBtj9IxoRo50rh/33y/fVrXq8/r1iZPXNQ0ImK3jRZalKnn0scfk2w4fbv/yiUjNypXybe+9V66drgPeGKf2S5bIL4+I3Ml1ieuTJk3CVVddheOOOw4nnXQS2rZti88++yzV3SKiLPb8VkCuEoq4ols56BN0uQWQra717Nb0DMKKGxi5UKmYIqqQJW4nzy3BLfO/U+ebAfNV1yOH7B21ViQ++BSCAdE8+ZJatRwxFHr6kN8GA1g+0Pn+qLEz2TwTtzfzNJ8X/ZYXAMhBaL+eg6c225cwJCpCySXvdppuyyIpKezfPn7YV9v2eabSiDXyN+Anb3D23EcDK64TUWYwn1QWMSelIe2zyQ2XArIJycWjzC2DDzVmmljbYyBYUVPov0L+3Ehcf1OqaT4vWo8Nv14UcZai7eJ6cd+B1PaPMlvxDrXRHFXs+ubYaq87TAOsnV+IfopR/kiNPTG/HjfJJwk/db/TMVun4om8nnfazI2JtuHQefCgDvFbvviIaFf9c9EE0KF5nLfj9kXlQVO1c7DJt8tvUw/ny29TX3wH6AnvLYrpRdsb4bffpGedEmuHyX9P7a9Jr/tFqTRmjHzb8WnwwKTZ5OX164HDh4F69SLf+/xzJq2nWqKK/k5VPFZ5GGPCBGf6QESpF6vif9euzo844rTRo8XvUPNfly6p7hlRenBd4vrWrVvRp08fvPvuu9iyZQsqKirQsmVLHDp0KNVdI6Isdfd0tRsH7ZvtAQC8N02+upbX5A1wp5hLkNCDVcjie+Bm+eDWk13SN7g1cnGoCpfc4Vb8TrM7R/5OYl2xKyoghpjc8L64sbrnZxNz8F0PtVMIPTgUenoJDcMZTzomidiXbK46pH0mS1bCkKgIJXdzxOqDS3dOrVkNMFQV0O4q8gTIbUvyTjnhqKXepJ/0GeHBqLie+Y/jEJFbbPkg1jFbHLe3fBD5mfzRgD1J6waX3wVwUOLrhuoJySpEFUe5hxpnrTK1CEqC+NcSiap5Si1BrUNku/hxMBFnObFTARrde1NyO0ZZRHWfIVt5XQfgwTufhqa88KZKsYp4PHj0aRtmk1Xsifkt6AfIPnjXK0EFXCvGLgXURgpggY10cdtkQK5YE7BqiNx5sBOxeDGyQ6J+1nzQVP0cbEgn8fnq84u+jGk95ed+Yd/WkL+3qGHw8ovlZ54C7a4BZL+nNcOS0iVSkIzEwGOOAX79Fbj66urTzz8fWL3a+eVTdDJ/eyfXj1RVe08XslWpAfXq02+/Ld82VsVrIqeleh/kJE2LPbLEsmXu/b2I7OS6xPVNmzbhvvvuw0UXXYRLL70US5cuxbfffoudO3emumtElLXM3Wy8erB88uLGD9PnasF8VT+5q8p5DwKy1ej7Lk2f78WQP1p8R+OLwqtwyXxX4sGGB2+NfKfpnwDxnagP9xt/eTk4pUsB6t3WSvpT5/W4HkA9qA/zmn7ETbl4p0KhJBGRGJQeNo6WTzYvbBr/xoGZIe0z0Zw1gGzCkPWE7+QkqGg+L/6+rWY1wFBVQDuryGe7Lk8A8jfJZPbjOoBKXHehiSeL0lTP2UA6HTfGrRTz/2rPMVVJoYtKHV0kEVFMms+LlqNjHbPFcbvlaHHcHrYo9Dn/B3YllRnS85w9XYgHPgMInTsHAFSiTZMS00nrQPhIVonjAqJCN6UbkZQpdy0xbln4dCbnuYVKHOzH/XWYvE4OUdtneDTZsqXiGNNsiLfGNDtomFjMY5cs1STve1vEP/9w8sE7WWPWqRX8uae5fMyTnLXmbflz1NunyG3ngxcAsrH4KSukZhkc2UGunyHmzsGc2KbKK9XSND7/vq5S+9SSG4WI0sNohftfKm2j0TTgvfcip99+OxP4UmGF5P4WADp2dK4fuh49uXP48MxOWgeA5cvl26pWaL7mGvm2mzapzZuy0913y7d95pnEbTp3lp/f0qXybdOB7DFN04Bvv3W2L0TpzHWJ6zUdOCDG4DzhhBNS3BMiyl5mbza6r7rWvCLAbNL6K+Pkg1ETb5OvRj9koWJXbHLb5OhVEf0fGEknZv5msT8jV5HEnMNluVLJ6wd+Ab7cE2Ucv7h0zOyUnoFIcVNOLrAtEoPSQ6srgfjrQijZfP2IxPOLv26lx77Haf2Wy68LT222ui44n6CSuHo8IH4fD4e0t8Gy11Ruksk9mAV4kNsuffY7Vi18WSW5UsfQNs4dNzSfFxs/vDb4KpQU2mMBH+Yg+736UfTzxVptbzI16g1lHvlkSPHQ6eQNYl+VUyhzrFchqq3eOdXGWWYQzefFA4vCHy4AjGPIhvetHjvcFxeg6kRSpty54Ki1ofVFXCfLPtToQTsOi54SasUbRJsf99fhNRbZqsFdLaGS0Lx5rB+VRaqjN5pN6kzEg07TbZxdBlNN8l4+MPE8QzG/mn/TUEzIWWrnOSsGAYnjJrEeCCN72X+O+nip/DnT0FWy66Z6P+XOwSLfj31OoMNsMnZejtr9nvNPPay8jGQyNwoRjRkj33aExP0eM2JVg7XatqZMrqrrVirVvleudK4fADBypEhSP/108XrnTmBCllwHO1l1XvZzgQCQk2NuGZQ9nntOvm2nTonbyCS3G7p2lW+baqrHsrPOAvLynOkLUbrLTXUHrNB1HQMHDsS1116Liy+OPjzW0aNHcfTo0arXBw8eBACUl5ejvLw8Kf0kdzLWD64nLlVRETojcPBR3GkrgNCNg3hnIKIPt/21FOV69WlydJSnwSPFvRfnw9zN8gCuu0QP+93jG75aZjni/aklXozvntwyqbUK82EugT+R+H/nsqJS3DjsKry5u5GNyxbDBx8uy0W3WTrm9YvdsvW4ZiaWG0Dv2+T/9smlFthOh20QCF//4gmgrKjUxPcea18mbmaVFWVqSeLkrQuL+5bi/ifbJFiumH+Hv6n/De+eCsgO5WskwZ3YqQAeHMGRoi1qCwsyvo902UaST/UmWQCJK0yJBKUdX+i47FwrfUsXatXWH+vmzHEj8f4z0/d1lEzxzhfLA8fglC4FACpQVrQx2V2jNGHumkIkGQVs30eKPvx9mxfPDuY+MJydx47o50zuiwtQTeauJXrfBvRfEYB4ICLx/Ne/50W5zu0zWXZ9DVzZ3+x+GjixE88pyR57/wccOFwr+Cpx7BkIoMVlxvWU+jGmYAQgF+uWpeHZrV4sGcjtITH7Y1OpvwY2e54jd19g1FovhnbmumW3ocsuhGocR+4c1Yn4q/o6FjoHi7evC8Xm2k3Qsf49Z7alj+b4cWHvRHFiwPg9J967K03vswCzXgQSj0IkvtO+c3U80TtZPbNI08T9ZgdzBYYPB8aMMYprANEfjgCAAEaNCjjUlfCHtBMJoLy8UnkJd90FhFKT4t8XeeGFCtwaZXRqcoLzf3tVHk8uAA1lZRUoT9edngPKyoBbbtHw2mu5CD1ApWPRogA6d47cDcnmMv36K5B42wMAHYEA8K9/VeDss039CmSD7duBa6+ViUPoaNcugBdfTEavqisrA2rVMo5b0R/oKyuTPV6l3z7IqtjfTTw6KiqAvLwADh92ppAlUTKp5Nm6OnG9b9+++Pjjj7Ft27aYbSZNmoSxY8dGTN+8eTPq1nXTkFqUKlu2mEvicsJXXwEDBxYg2gnAzJkl+MMfUtCpdHbKKeL/Dt7YfXR1tL9HNBqAStwzWIc/2J2pU0vwyCO+sPdjEcGcWoX5WL++xEp3LXm62vDXssQvu2xZSdXvLUctiOlP4s37tm0L4MyAJTpGjEj8PQ2auB19jgB33dUYwNmw6yYSACx+pQ0WvxKIuZ6983+qo5vI/U6poxbYTuZ6Fsv69YBcUrIH3jk6+vZNPM+PP040z1BQ+ZrHdIwcKdlZV0neunDiTQCeTHRzBAACuHOgrrz9rH5L9rgUTkMAdSwfZ7YAmT9uY1RmqujL3YRtOjC1x347tG2rUm0dcGp/O2sWIH0DrVSHl8XXyYLQ+WKiSnK5KT/Hp9SQW0diUR/9Sv4zyb22SnclJYDssaPVLB394jwEHC78nKllyxJs3pwoLiDa3nNPOl9bZTMr1xLpG/vIZtb20QYPpu7SEaPWDpG07oNvhErF//r1y6r2FZddVoIPP5SPPfd/ScfmXWZiCon7xv2XDHtjU6J6odx5TPtFOrp1U1i8hNA1uFzBH5/POM/hsTGVysqAGevOkWwtvvtHHpE9R7V3HQ/dr5Jbx264oWY/5WJz1ZPW429L3dboaN8+wWzDnQqEClzE+j1Ep5s2/QGv1dHTtnD54JUyxw/x/tyX8nFzLxfEQY45RvyLk4dil/XrE917FPft/I4NUlmg0FaH30RH1q6VX0c6dPAwVpY0zv/tVR05chOAenjzzbfw44/7HV9eOvnb3xritdea4Q9/OIiZM1+vmh7va0+UyzRx4lUIHnASENvfxRcDq1al50jqmU41FrFunQe1aokHHKZOLcEf/+hk76q75BLg44+N0SlDIyb161eCG26Iv85Wl377ICvMx5PE+WRFhQfLlpXgpJPs7xtRMh0+LD9SlKbr7ryqf/DBB7F+/Xq88cYbODvOI1/RKq6fccYZ+O9//4vjjz8+GV0llyovL8eWLVtw8803Iy8NxuVI/GRW6Ok1AnDwILBqFdCgAeDgQyq1ClWSmAMoK6p+oV296kni4NrupzbgvNMUO2kT0VeVMaJEn+vXLcPe519ycFmVSatidfZdF+K7386F/TdwADO/h/2V30OVG2r2ZdsnwA3D2yguK3l/GzPe+RRoPlS2oknkd5IKTmwb6bq9JdPcNcCAZ+SqoPe8eQPmSDwQkEj87VcP+7+OKXeVYkAHq/OUYW5dL9d1bAFwM4C8LBzLU+5YLv6mCx7YgJ7zrZ07uEmD21vjcJmokCJHx5yuG9Cz0P6+cF9HySJ/fm9In/MMSo5HFwHTSlTPq62oBPd/5th97Ih1zhR/vxH7Go3Sw8ingSkb5K4lRrfbgEfvC03l+Un6sTfOwr8ZWfe7O1vj0BH5exO18yrwy+rQzXzV/Ywxuou9uC0k0n0msPw1+arLw3wbMPb++PNM9THG7PJT3e9sN7vobDy8pLHCJ+T/BkMWAE/45c6ZJty2AYM7xZ+flXVF9b6efFtz62TtwnzoMvd/03h9t3qvNC0dPgzs3w/cfjuQpJwSmQq2Thg7FpgwQa4a+qOPVmD0aPVl1KqlVlW3rCz9q+pmgueeA7p0kfvb33lnBVascL5PF1yQi6++0vDmmxW4+mpXprKZ9tJLGtq0ycXll+t4772KuG1lc5muuCIH//yn/Pm9pgVw9Ci3v2QzV6U7XPJyxew8VnXpAjz3nNw+aNGiCnTurNbXZKpTx4NAwI54UiVz/sj1Dh48iN///vc4cOBAwtxs11Vc13UdDz74INatW4fXX389btI6ANSuXRu1a9eOmJ6Xl5cWyciU/tJhXZHLAdMA5KBWrRzXFzudMwdRK5UVFhrVhiXk5oaqvjqaRKdWJaJmQl8f77eY65cZb0l87tIHvShbt1FhmXZS/x7r1y3D/hc2K3924m1+DF9tPGEZ/yT1kQJ/UhIlH1n6Z4eS1sXv8c0i9d9DL/ZD83lh303VUHWQEYs0TOkReueG4SoVc83/Tsn0twuBxBVNDB7UaZuPyqJUP8mrVnVI7vt3Yp7u0v82YMAz8daFUMLQ/Aet//47PwfiB2m1av8f8kIbDHkhAL049vpnz75A3KCuVZgfd1lR6eIYl4nrRzwFYwDZpHUggB5eDT3nWzt3cIs9PyOYtK5CR9+2Tv2+3NeR8+YVAer7Ygv7XnKlaSWqI1FYc8UpP+EfPzQKvkpcbbVghIaXJiShY67gwLEjyjlT9eu6aIzzQB6b0tHk7sCUDXLXEmO6VH+vZKQfBeMSxT6MeXjw55434IuFr9nQa4om/nZohgfL/Bq659s4S8o6DY8/qpS43qBeeY3jkep5qdpoWYmXIfZfhaM1+B9TmHWWWf6a7PmhBqASE7u5Id5nbvlD2pRKPxAGZGcBBSc9vOQixU/IrzszHgCe8MvF4h9dnY/h9ya6Prayjjt1E9XcthSIuB6INo90jxtkaLxT18X95iTkCcT/SpzNARg/HpiQMA6gBdsmI2fCg7w8J0a+ppruu08kjsYn/vYvvOD83375cuCrr8TP110n7i3ccw+SkjCfavn5oSrVH3ygoVatPLz9NnDNNfE/lyiX6bzzgH/+U74ftWtz+0s2ew6JyckVs/tY9eyz4gGaBEsFAHTrlr75nV9/DQRsyzXPwebNOchnLIlcTCXH1nVHnD59+uDZZ5/FypUrcdxxx2HPnj3Ys2cPfvvtt1R3jcgRZk5U3HK9H42mRU9aB4CiIvH+vn3J7VMsfZ4EQkG2eETF3IfzIwNKn3+vVg2+vDI1u+0O0wDVSts/LS8JJq2rG3YvED6sUDxTS7ymlqGirAyYtu5cB+YsfrdcTwBnnmxyDsV+iO/KrqsQcZNqakk+NF8+NJ8Xmg9QPWWw8jsl0y/PywR6xbof0D34+gdn+5OYWgA4dfN0n9C2FEv8xHEVTQYZNyRl96siqVHcwIi062vAvtN6saxFDhfwyR+N4P4lv8Y/L8YudXbZdir9h8zfsvr7t1zih3FuEJt4/4Mn0vVmVGKndFFdzwFn9zHc15Hzei82m5Acfz9PmaPj40DyQnHiWLJ1xvsQ5ziJ1k2xz968i+thSPKOHXqxH31vKYGodmuoxMxOJWmcnOKsFa/UPF/0BrehdBZrO4t+LZF/lXhPiLcOifl+uaceDvxioXsU0/NbgdDDZ3YFVjX0WMB9Klnz/346BomvH1HV5sMnXo4yXZZKwQpRTU/2/GLjh9wW4lN9wEBGqq+BzS1/XDcg8bHR+A486D5LuWMUgyi0oXYMzPGorTuzO8smo3uC99/iMb+OFz0qE5szPud8XMs7CoiftB76XrZ/ZmoRjpvRUT7e2a9Vdl7fxLN8uXzbTglGIzBDNq/ASjLkrbfKt121yvxySE0y/vayNE0k0tf07LPuzn2RoWmhpPVwzZpZ/91Vk/5377a2PFKjsv+XtX27/fMEgNat5dvu3CnfVmb/ku6FWy+80N75FRQkbkOUKVyXuD5v3jwcOHAALVq0wCmnnFL178UXX0x114hsZ+VE1I0n8LJ9PvFEIEd2BEAHPbVZNiFLAxDAtJ6R75x/6mHFpabmrOyFN9WqbY+/1Y+Gv7O2zJWD5IOYd061tqxEat9mJvlOTq4ngPL11gJ19ievA+IUwQMx3GYB1H53679TsnSa2QTy27GGC/u2cr5TcTzZRT4A/MDNcn+DV8bJB+o9WmYPTaUX+zG7c3jCUABAJXq3tDthyOy+JHpS4yUP2b2PcjbBQvN54f+gAGL/4qnxLwdj1hW4KHlT/ebypvGA7MNZlw9wy/dQnblqlTo2j3Xu2NH1Bvn958Ke7jiGUXoZtgiwFmJh8no2WPlGcqutX3XefhxbD4rLdGEwwSHzu8sfO7rdaP3YMacPMPXO8Plo6L/Ci0HzLc/adTSfF/fOqnm+mIOVb6TfeWL8857E1+jH1qmEyjVp/vhmSv0jOXdPd2r/zH0qmffqR0DiEb4AY19Tt1YFGp1Y/Z17W6gmZ8pW8pZJWg/ngSfN9t/pxf4k8/G3yp/HDG1j7zVwm7GASsGf6NfgckUCnn6F65VdQoU2ZIi/3Sdz1NadfsvlC0CI+2/RhR4IllvHxPYQ4rsaUHl4UHZbSpyYH514uEfue7l6cHqu8wOfS9Sv0ChEs3o73Rv3iZasG8uzz9q77MTVtkMWLza/nNWr5dvedpv55ZC8xFX2Q4YNc64fgFyOiBtzX2Q4/bsfeyxw1VXy7c8+2/yySJ3K/l/W1VfbP08A2LRJvm2TJmrzTpSYnu7b/5Ejqe4BkXu5LnFd1/Wo/+5zYo9OlEKTJlmfR7ofwMOp9jUQSIffz/rN/2md/wm5mweAMbTqunci32k7PrIS2SaFJxkTU6sq8Whn60sM3TRMHKz7+zbngnWi0ojdh0sdQCW+WVRiW4K3XuzH/801Em4DYf++Dk6zktSu9vfPv8I9CX9f7lEb9eBoeWqfmum7VD4APO9BuXnecKloX/3z0QX0XNS7LbXJ+0578FYgL1es8/9e8gr0Yj/m9rV7KWa2R2N/6MFDT4WmhioD2s2DkRYC0bHIJTS7KXnT3M3lu66TfzjruddU+5Ra84qAULVKFQHcfLn9/TEs7i+WIUT7u4X2n90VhuArHBdr9IDQOVmrEVZ6Tm4xeYMdCW9u2v+ROcm6iNXRoO5+bJ+xLbhUtWqrXAeFnm2A+CPyhI4dix6yvjzN58UjL4aX1BHJ2jP86Zes7aTQ+WKsapNiP7n7m+T2K5pO0wHZ6pjLt0Sfx+GjuUrL/HbvMUrtSZZT+2fNkesqyg43jlQrmnJodWQmwfKBgHxldHkrB30I1diGDg+++E7pI1nBniTvSCI+LxfvE9cy9inZqbbuRl6D86HL1FCP4/zpDCeXEbtt6IFguXUs2v2qOnnGvlHu4cHYQtcEDypUlI5chhNtk2PAPEDuQSvg8Q7uuXeULZYtk2/brZu1ZWVCVd1MMkIhZj15snP9SPWIA6mUr3Af4p0o+SGytm+XT15Pff5N9hg3zrl5O1HJ3UlufniluNiZ+c6Z48x8idKN6xLXibLF8OH2zKdPH3vm4yT3Vpa3XgnlmGOAwqZ7JOchAmTtJ4UCyXv/J27qFm2PrETWeqy4uT1koUI3oxDJVs4PhxgpPYJ1apVG4jGG0K1E/hWievOZJ9sw2zB/OkMksOvFpWH//lmjIrvTUZ8ASsY4vAgbndtIbdSD2nmViRs5ZPACQDYAPPl2tQDwT8tl2otlHi7LxZ6flWbvGoMXiH1qeYV4fUbXGzBFcRg9Ge9PN6pemaFh9qbQccDJyoDji+y9cVk9CUnmppBbkjflbi6/OSm0nYVGMkn8cNY9T7jhOwA++7f4G/denA/18wZdcj9kTeh4GEtAenQF4xyseEes0QNC52QvfVyQNgl25IxQtTc7uGn/RypajwSSl2QQwP9e2Fb16qNZstVWDR7s+tqJfrmL3AN38scOa8vKjv1C/KT1qlYAcnDRg6lP6H92q/w53X1zove1bu0KpWX++7+1ldpTYuKaT3X/LLs/FddVTNYlc+yKjdp//nHKCUfx3jSV2IYxkqHC+PJZwnqSd2zPPCT/0Ly4prGudvvWULs2ivZ721+BnmSofJdmz4Ht+tta3z+qF6iJv8ySkVauCdy9zs/cKH9O/PDzmX9NQ/HpOnBrjIc8HrfpWETuksoRB1LNr3DoaGZx8LXTT5dv61QiLlU3apRz877vPpFHpWlqldJTYeRI+bZjxzrXD7MKC52Zb79+zsyXKN0wcZ0oDdmZjP3UU4nbpNItt1ifRyqS19tNAFQqocQbInD9iPcl5hNO/MIN7mqJkzobyVKxKnvlYGpJQUTlzxfflF/aSx+rDRH57AC7Es/SJVhndQUT1dWX9CkJJpL7U5LYnThZz5al4L7r3VUxY0V/Y/uT25aPlKfu1OnxUvkA8NBVagHgpoOvl5h3aP6XDbhJaf5uoPm8eLw0PAEVAHIwdJX9CTFXng9Y2x49OPVeY5w1Jx8ssu8AK5eEFG356ZuklddWJpktVHXp2ovCp6fHw1l20XxeXNCn5vYjr37dMjT8ne3dikov9qPrDcYIJYZKLOxZIn3T9dg7Ep2D1ZQ+CXbkjFC1N7uk9/6PzNn0kdp1VfX9lAodfW+pvj9rfDYgf+4hzvcufSi7179HnwbkHhr1YNwya8ua9lyiZYWSygbNt7asdGbufDHV+0rr53SfzHkJqiPxbftEYbGUkLh+Vn/wUl4Ozu9VAA+P66TMrtionXFTHXXyDuO6C39G0z+pz7u8krckw8nFFcKpXXPcO0s+liiuaaz5bi9QVqGaDBy5DnXrVoLE+9pkFGjJHiteAVTud7W61Nw9AHGfTO5v27tl9GWIcz/r8VD7CtSIbahgnPltqPVl8t+LeGgo3WRWnDMVVKqe33OPY91ImjVrok9/+OFUF6wjylzr1sm3dSoRl4QtW5K7r2vd2p7ltVIYkP399+Xbjh8v33bMGPm2ROQOjBIRpRknTlLq1bN/nnbQNGDzZnvmtWiRPfORtf49tUooiYcIVEtcP+bWljhwuJZ0+5qVP++aJpc4JVdhLpyOjtcrNI9j5SD5YJ1TRMBWNQgaqPr3+2N/wC/Pi0S4LjY8pGFV9crrTghg6QCHZu2QY+sBV523P/hKpoqLB8XvOdunxH2wuy2w96Ba1b79h/KU2qe7VFS4PLpatfJpOA0/7G8Ezada2VqM+qCynM4z1HoWdS7Kx5LqfUh9QlKkb38EKgJyIyAAwP7nat5USpeHs6yz9vfVkespw/4XbDohlLS4P7D/+dAyj67ZKF21TvN5cehILZi/0ZZ+6zPZwalIswef/duhWVMKqF1XmD9XCGBOlJHXxLWA/Lz0LE8omFgsn+g1aq21/fojL8ova4Y/M48h5h9yBABPCkc1sX5Od+bJQK5H7cGS64Zl5nqQOmrXVB/PMhIq1ejwMHmdTJCLjbZpEjuRcVRbK6O+RXpu0CfICeYm9/Gq7oA1rHvHtq64WvW4giwnCxJYP/dr3K8l5O6ZGHS8PiFy3S0oAEIPXcb6nUPnAb7HFDpJUck95AAY97s2jjO3HHGfLNHfVnhqc+QxU/2cUY858sDuJzfB3vtL5rch/2OA3PcSCD40lG4yJ86ZKp07y7ddYfMIsSrVrp9+2vryZPIgmLyeHCrJokOHOtcPomzQoUOoAnrLlqnpg9V968aN8m2vvNLastxi1ixn5z94sLPzJ0oHTFwnSiONGjkz38OHgfPOc2beZtl90dmjh73zi+e8HtfD7koo7a9RG1r1SHmtqp/NSZwIKG78Oh08j61Dc0AlQH3Lo7YtukooYCtDJK2Lquri396V7+PYNHtwxLnkdT14I8x9ts/YBvGdyFUbL5yQqhvNzgWAGx5/VKl9g3rlSu3T2eAFgGyFyyk2BoVr1QIGt/sy+Mpc8rrqjZo7rvVjTDu1480zr1tb38WDHkY/nTtmJdtFD94ClVEK8sdXH8fxrutS/3CWHURCrXwCf3XiuFm+PrlJ64bJK0Pfbe1bvdB8XoxcHP8z5pLqqs0h+P9UJtiR3VqPBJxJXBf7j4seTJ99H5lnpiqg+rmCOG483iHeObnaA9PPb1VonnGSmeiV3RUKNV9LmD++in1l436p2Vfe01z+nG7Zg7G3zfL1qkmlHixWuGFIsfV5ElDdPzc+G4rXVaFl6PDgi+8UPkZpa8oKcXyvPsqlGOnSjhjlgg1A4mut0AhfxXGGmR/bVbSxTkezC95H+2Z7qqZM6/xPqF27amg/iee3gEpcwRA9yTvRZ5xpG93/lAtdBNC8cbz35R7s2/A+1ynrknc+unF0ovU4FDtpG5ZUWT0GJUtHpxujv3P2KYBHs3OEWmvbkNyIuekVH61O7pw4/vVqdtMlViGZNqpUqr3ff7+1ZQ1QKHw1fbq1ZVFijyqcs06a5Fw/sm3EgXBehV3622871w9ylqYBL7yQ6l4IVnK0ZD/rxLEqXfXvr9a+YUO19o8/rtaeyI2YuE6UJvbtA3780bn5f/klcOCA+ud8vtDTf8a/V1+11pddu6x9PpZkPIF94Bfgyz2qmciJz87WDJNrF2IlATB8HrEDXSJJRi14/sET9gadtKr/Jg5Qb97lRMBO7ealCC6mP3uT142AZCB4I8yt3JIsIhcAnny72rq4fdprEvMOzf/H/bIjPqS/x0vlK1yKIeTtM7XLp8GEtGRcxet48RFgdBcoLs+D/NHmlyoe9LBrm0mfmzOHj+Yqtf927zHVXj8/GFB5OGvSM0qLS5oL+qieK4QLpOy4qfm8mLyhddgUMSLN+KLYI9JYT1qvmhOYjJxZNn2k+qCj2j6/MpDeSaq95sRO2uowLdW9Sw9qCRZiHXl/utg/yp8rhBLXBnWI3aplY7UH2O6ens37qmQmemVvhcIGd7UEYGUkEyGgp2Zf+ezWRNtIaNvsfHOiuanFhLrNq7nfjdwPf/hl4jllghWvxDoWhb6L1W9F/6yo5ip/HH84X+yfxXWVarKbOA88v5dz+9Ztn9T8LrwoGOPY4rKW5vNi6KoCADmoPsqluK7YvEtcV+z62vwyHlgkH6uQ8XQvO6quB/DW1D3VphxzDFDYdE+M9rF48MSLFruSAVTjComTvCOJStNyscS7/2bt+nzTTkD1eH7xmb/GedctsVrz9h0ANN/fohzDvMHvMzkmLAdU74NY0Xqs/P6taHvomKl+vwpI1NfKIrtGpNBRMtLaNtRpOhD/ujEUJ1y+xdKibHXbZEDlQat416uUONnP7vvgYoQLOW++aX15M2fKt334YevLo/jSJQk1lSMOpFppqXzba66xtqx27eTbFhVZWxYBL74Yyq2yg64Dn39uz7zmzlX/jOzvYaZC+IgR8m3HjFGfv1MGDVL/zE8/2d8PIrdj4jpRmjjxROeX0aCBXLstW0InUhs2RL5/443WTrIuucT8ZxPx+ZybN4BgxVS1ZG75gFUqbkBHT15/8U1A/RARwGXn2tStILXh6e2N2CQ7YJts9iavpy750D7pnSxy51RAJQA8pJPa/Bv+Dqhft6zGfKIJBci3fKC2jPSV2hthU7t8iqOrS3FG7X8CqIRz65ce4+dENPg/MJdYMWsVYN/lhnHs9aB0h02ztCCgGK09s+FvMd6Ru1E3fHX6JQ6aO1cw6Bh/a+qS1uP3O/K8KFTt0M59gCf4HZKbJV6fahIP+ykuBVf1UvxIkmg+L+ZviZ209cKbBVWJF06OMtB9VryERS/+P3v3HR9Fnf9x/L0JSehFlKYoSBM4VAT1EDhQAQVpAlakKOohWOgeWCiKKIigqIiCoFjwpIlhUbhTsGAD8Y6fFRABPRAL0gkhmd8fY3qyOzM7s7ObvJ6Pxz4guzPz/ezulO/OfObz7RKiAmk02EuwCEjKVIsGOc9k9RXC9xPC98nfnqwwyygsnpJpXHfriV6TekV2TJt6jfW2RnSJ999dOX7ZJ+0/4tYNsYGoH1fNfYu1kWc+mRb+e7viPPtV10M/EtV8eNE35RUHf3/C3P/3f7yoY1HOZ3HVIwU/C/sjKhqa9vecv54f6jTZzf4NuVc9EvpY1+sh8/W2Y/N/Fola+XnO8TgWfkvFO2s3tAYkJersuyLZBt09VzGosxRZ1fWcGzfyW37vBpvLDmjEy8V332SV3fMKrRv/YbsNs9J0uJvmzWlejjBBMCcZ2QqzX7Nu8nthprEqoHJ9LrcxvT1PLSt6H1z6yov1yz57y5vzprm8qv26SqqkgsewRHWeaO4/7n7W7XdT0L1L7H13kd7k4HT/Zv+m7pwbgsNNFzlDV5wf2RLMGyKtnSccOCt29qFL1rt7o1VJZ+Xau5vJ63aSZtu2da9d+O/vfw8/TZbZs72LI4tfIw7Egmi996VLrU/bo0fk7ZVkgYB07bXuLe+ZZ8x/69eXxo2LfHm3325v+m+/tT7ttGnS8ePhp8vtgQesTzs+gkJrbnvsMb8jAIoHEteBGLBuXfTa+uCD0K8HAlKnTtaWFQhIffvaa//VV+1Nb9ebb0oJHu7ZPvy6is05rJ+wuvNyt6o72FUwef3aafYr5L47+RN3w5IUsHmC2s0LstE/YRt9xoqgHr1xg5yvd2byVfwnrUtX/tVKsoj+fD3hz4Tc6PnnB96fAP5j0WqZF7PCLcNsp9P42DlBHhn/b1pITpZ2vr7d4pCwTuS9wGw/wSJBiT3sf9/DFrpZbT1LQF0f8HfdW/GJZP6MsvIZmvuVlfcWNo6jvzdNfLEtdPLLq2H6p076Cibz2HGPjUoqbpk4XwqdYJZzc85983Kezal26KbAn58h4pXTYcrTFlvtc2QJaMNPZtLCocM2m/PIL/vsJG2ZiRdN7zDfw7SX3Ylhz29SoHsHBbp30dx/h0pYTNSqL8y2ze8s+uwmWNzepWCWf3Ky2XfvfVGqzAT2zFyPDD16XaqNPrm931ixOuqH1ybfLIXul+XcNHrfwMjaGt03d1uhk8qmD46srVhyweiL5V4SS/SPq6u+sP4b7cLR4WNLnSC5/1ug8GIFxUGgexc9+6+s/b/VG4NyPotqN1wc8YiKN14mOSsIYMYSquL0y+/m7asv/jD0sW7Zx11V9HE553jc9QHzmDjyGZshQ5LV/k+eOeR8G3T/XMX7U+z2Q7OWbf6GmxYiwalXK/vnGYZHIQkqVpk3kbhxXsHC3JbONUV2rHhqmbkMO6pXPqaTKhX9+luTVsrO+nrkeCnt+c1WCGFdN83c7m+fX/Q+OC2jvKoN6KpAd2sX1QLdu2jwc1aOX+YNMFNTo3ETmr3iPZHe5OBk/2aOnGK3z5j3huCidGke+XW58qVPRDS/KV5HGYjXuGPPp59an7ZL8eveI8qetXFj1JAh3sWRm2FICxYUfP6GG4pv0rokbd1a9Gvr17v73u0kLD/+uHvteuGFF3IKcRb2CPW5esntkTGkvDeaTJ7szjLtxNm0qb1lP/20vekl6+u5F5+vExddZH+erO3v4YftzXfVVfbbAuIJietADGjfPnpthboj2smB/pVX7M13/fX227DLMKSEKuVdX+4HX0p2T6zYOWH1+BDJm4RFK7IupJgXxOxWnEpJOqK2TVw+MyzpP4/bvaCSENEwvHlF+4StP0ZeuUcnlmUlwFj9nA1JGZp7m50Emdi2dJxkJ2nbTMiNpmidAHannfHPF5UQG3vDlJsJ3dYqXD58lffr+5bZTi4kh1LwAnNOgoV1mUaCtu+2Pr2ZCOHVTw1/z0z0mGxvaOJ6NQ6rUoXCXonOTRNFDT3dfHjo5Jfrpxd+cfTQYSdVpnO/D/9ueJqwzHqC2YNvmO/9nrmSd+tygmtJvIg++8OUm9XekpOl0Vdus9mambRQ4bquqjegjc153ZNVGbDaADuJglnM9zDmNXPfcmUEJ9lTel+umjd2lVTGYhxm22cNjX7lYScJFvVqHil6ef8wk4+MFStzPYK2hlu/uo2dxIzYHPUjGqwd69w7pkUjqSzW/LC3rMtLjPZx1f3faAMv9qKgQfFKXjdvXLKbPJwl57P45UA52T2OPzGg4PbufDS7witOZ1WRv2FG/r66tXMVVtqVEvVY0KzCfv5dVZWRYTP0EsqN9c4+a+cqbr7U2rGoTVPJ2o1S+YU/3i0Zm3vZVgQ0c1Xx2C85Yd6Q78Z5hfA2bpFC92lybuDufJ+zNm6fb/dm70ztefFfIae45BxzOuv7toDOHd7BRgxhlti9ixa9b/V3T0BScsjtvMv9Tvcjhe9Duk4IVYzAPAd7hYWKlLc8ntWGVZH3U1aNt1dApkb/DrrqEbsV/TP/vGk8vJUTs+ZxwnwfX8562+H8+ZflxbTeGTO/saK9/hRnF15ofdpVq7yLw0vDhlmf9tFHPQsDMWzAADPPo2tX8++5c6WFC/2NyUsJCVKDEDdZPfKIu+09+aT1ae1sr9EWCEgDB4aepkEDc7oZM6ISkiRvkqr//e+Cz7l1M8PlFgcssnvOYJvdSx+SnnvO+rSDBhX+/Ftvhb6ZIRCw105Rli6VPvrI/nyzZpn/3n23vfkWL7bfFhBPSFwHfDZnjrP5fvxR2lGwEJsl+TtNnTtH3pEKBMIPE+N25zoUw0jQ1j3uJq+3HWt/uEu7J6wevc6vqutSTgUm+xdhXhn5pRIT3Y+oWV3J+kUP8wT1OXdFftHj709kLc+q+D7hlphoXmzt07qwCo55HxVL/6Y/XjYT1s1hhouTWK4OEq0T1/YqcHabWPhFkknLi0qIzRqmvIt2/hxBmC4yE7pDXbjNqaZ5dz/v46l/qhRw9Samwi8wr3/EXtKaFFCT260Pu/xY0O5FS3vr3qwlNiZ3nb33tfXZdwt9ZUxX6zdNOFX1+g4hhp62cuE1ocA2XuE6Jwmrkt9J6yb7+/mHVnhRbT2njTGv5a2ifeXk/PvVLn9W40OssT9MeU61t6k3fi1nN6wG9P2+yr4kH1qvDBh2SZIStfwTsz+w/6D9OI6nl3IYQ/STN50kWAzp7NqduIV6bUxWW1bFSCmbKOo3XQo9QkeWBL2wxp02X3s/d5uFyUkquyqK51a88s5/JPfXLfO4Gj3u/0abP1zypqBB8UheL9cn68alSI5FAYfzG7qjdxGvRJC8nnsIbftV5CNhrhMbtl+kUld21fRXanjcXnwLdO8gZ0nr2UuQnW1w7HNS+ONQzrmK5+6yHom9kd7s/YazP5pogkp3b2lj+uLBPJ9hr2hMUecVrGg50voN3G/9x/5x4u5nJbvvp8cF1tapcqXtHRP/OJxka/rCfLXD3QRzyVzeqi8i2b/nLToU6H6FVn4eqhiBeQ42uKlr9nmFFUUMljv33/Z+r/yjW+TndC5vIVm7icaM6+c/Ssvu5zb6yu+VnGxnDufn3kolZOr06o5nz3ZDO+/PE7rp+HFp2rJ6Fqc243797uJRBKm4sHtN9/33I2/TTgLpyJGRt4f49OmnUmqq+f+bbzZzUIrjKAMJCeETkN94Q+rZMyrhxA27OU0jRniTUJ6fV21ccknhz7uRvP7229bitnu8qGe1e5DLrbdan/b55ws+FwiYOW9W2onku8rIkHoXcW4olKlTnbcJFHckrgM+G+xgmOfkZOnUU6XTT5dKlXLWbiAgffWV+e9bbzlbRn5nnRX6QP+Pf7jTjjUBNZjkdnl3e70YJyeszEp5flVdd8JQq7M2qNdFe7xrYYW9ix6GCxf3nv1X9E/YxoLX7y6sgmPex/5/rndc4Sf22UvgidbQ2pfdI1kbPtg8AfzKSOfrY/fz7SUzp24s6iJJuIthiTrjlq5K6hkbZ5vCX7iNbrJtpuPEh/yMP6sYFdSqsWwv/1i6tbMTZ1zbWHYvWub9N5yA7nzBz3XHnSSlR26Vwl+oy0lSu22WjWZlXhj9/ZD9i3sF27eb8F6YWEhaz4rD7rROEvTttGNW0c66+Lz8k/z71UR1faBrngvUVMaM3ObtBW8QMI+31jipoj1j0Nd5/u7T2ukNq9FPPnReYTTkUiUlqnJfM4F9noVqYe7EEe3Pz+sEC6fs9XvtHoPi3UvrrCd4DZzlzrp07TTrbS7+MDb60JG49D67N3VYFWs3GJv9gk+mWe8D3d/Tq4IG5v5vyoseLDoKyvW5XEeOOzwJ6orQ34nZz90Tdrq8EpTSJ6ef5/6x1qqARi1qGfc3NnjF/Fwi/V0l2emDPPym9WOCE8aKoN6fEq54RYaeGGBvpEX7o4kGlKYaJW7dM89nRLNgireFOqam2q+2vvxea1OeUjHNVixp6ZFtp4HuXdT0DjcSzM11etlHuX/DRCp30SGrx4useRLVY3JRo0/ZWxen3GJj8hCqlDsha/uxgMXpcsv882Zx6/q3d9r/ylT6cnfOdS0caS7PFP484QMLXGnWsZQ+dkaOCEjKVJ/W3sYE67ZvlzJtXopu49IAgFaTLaORaBrv5s9X2OrCy5YVnK9HD3vtPP20O/FaEQgUPvrAqlXFa53YutX6tvDGG9LRo97GEy8iWQe8XH+8Wna4dcStyuvh4v/yS3vLGzLEeSxOOPn8nX5nTnPzRo92Nl+WpUsjmx+IZSSuA3EmEJDScp2vS093vqymTSOPpzCFHeiHDrW/nE6dzA6X805XgpZ96k4ZcDORwt7JMacnrJaO9bPqul2ZWj/Vu6T1HNEeJtGfE7bw1+2X2UvaNitKe2/1Zqsngc0TwNe1c97WG/dJ0UwMOZGZEDPJ62YCYdbZ2pwLtQ9fZe9CrVvyVu2zu1/LmifzzypGhet5od2y94EiKzRlGTO/sXYeqSe7x8x6NQ6HnyyPBI12OGpNJB5/3WzbapLSlX+1su5YS0h4Zo31bcWbJFOnMrRhuj/bUX4TrrRevereHkH1fVSy9xlmaPf8VNm/CTH3BejC2st7gZrKmPb1fDBvovrZdxW8QWD15pxqdK+uC708N6pov3635PyGVe+Tr7f+JAW6d45CIp2ZwH7z7KISKf6cytX9WnSS16e9nNWWVfYTLJzKGfXDCnvHoOLB2wSv2GnTH7PfkLw7JR3QHU95tOhcEiwloeVUQ76gkfVlT7zJnMer5PVxi81jnVn1Pj7s+U25ktb9WP8Npd4Xvi9rrNgg+99duH5gNMV/VX63uZdwmr1ESQka+qSV6ews0742TcMVrwgWOcpAKM5GEy056555HsPejf49L4z0t7R359WvmybZfT+DO1p/P59Oe1fWz4sZkhK0ZpONcHJx7/dGTnX0XlNyJ8H7vY8v+Bso0P1yRfcmihwHj9nN+rH++7v3Rfa3mRdGSPZ/nxu64jwvznVZO094/1L/9psbt0j2j49+bwOx75Mw593d1KSJvelbu3jTgZ2q63fZGFWmpAkEpJtuCj9dr14F8zZWrLDX1m232ZveKSuJpMUled3uNhhp0muW2293Zzl+cOO7t7P/scqvpPXc061dG3l7mzcX/VojG+e0Ro9WlIqymCL5/J97zt70X3zhrJ1Fi6w9F8r114tiVii2SFwHfHSPjap+WQq7A9qtu+nc9O23ef92cjfu22/n/H/9eidRBNRrRi8nMxZw82x7ySmRnLC6spXkPFlRf86Tv2KOFyuJoRFdopOE1qmZlUQzKesEdbhko1AC3TvJrxO28NesoZLd6mhXPdbYo2hM9i+SuvELOVrrtBnricwE7bSbP+12JN27aPGHWReTpNwJov943b+LAPaG8M4vfHXrhcM2yN6xJqAek4v+POwNEZvF0NRrgn8Oe22vMtujK6P/3QxbaO9GkqXjwi3R/YSE2EpaN/sKLRr4HYdp/I1S6OpVOQlmDwySXnnPXv9vUq+galTVn/0jr/elVMa04vf95jbxxqf5E9VD3SCQqOunF51EPf1Vye6plKKqaEe2rpjxzn877IT2l9y9ixrc1lVSKUVvf5KT4FHYw5uK794mSY15zd4+xEmChVPmqB+xXMXab9G+cdqvNv0xZJ79yqx2+qtPvu3tsXHrT5KRfRwI/z6OvGZ/2zZcG4GpMOax7tL7Qt8wFEtq3minoqebcm4IvuJ8i3PYHDUwdmR9vgn6YpvfscSGdZulnP6Hu32Qp1cXve3Zv3k2ttY3+6OJ5qx7Wf2+5J4dtOc3T8LznXkew94xcJmDa0i5bZhu77y6nWPDovftv5/Zd1if+pQqUqWyxy1Oba5LncbbP7a5fx4l67dlrPWhc34Dletzuczfe9Z/rzxzi3u/VyqUPuHasvIytNjhyM85o95YK1YhZSp1grO2iubvzaxf7ch703/uUepy9w9ajrS77UuJCbF1vIpFF1xgb/qECLJ80uwNaKGdO523ld+IEdanfeIJ99p1Q/fuKrSq+ezZ0Y0jmtWFo+XTT61P2yU+fsaGZLcw5ZYt7rQ7y+aIisOHu9NupNxaf+3sf6yoX9/d5aWkSHv32s/9atcu0mKg0tlnF/2a1c9/9Ghp6lRn7T/7rPVps27aiXS9uPVWe9M3b+6snWuusfZcKGlp0vvvO2sfiHUkrgM+eughe9PffHPRrw0cGFEorjvrrJz/O+k0jBqV9+9WrZxGkqAZrzmdNzd7FwwiPWHlLFkx54RZ/oo5zhMfQ7WVqemDXV5sEd6eLJnvwUqiYEDXT3f2q7XytZ0kJVtoJ4uhpwf5X0EWbrKXwLN4bb0CJ3JLX3mxftkXeSSbt0t2u2oBFy5Y3tohmhfazW32jFv8O9MU/uYAfyt/2U9aMW9eslLdunw56fz6f9iMyPw8jhdy3bD8VVfI/kX9TI3ua/5vSCe7654fZ1vdvoDkbpJarCWtR7OvYFX4PpbZj7J/45Ch+waa/zPfs9t9r8JEp2p0vKp6fQdV7ed0mPeiP9tRr9pPziiqinbOuuL0htWAbnoq78XkWUvMV+5+tqgLzjnTRi9J3Pr7yX3zWN6HF/GY7d3l2ZDH9n5DOk2wcK7kJErbdUM76yN0LLjDnd+Di0bbSypbuj6eR92wt210a2m3j5igKte6NI59IZrc3lnWb2QMaPQLf3HUjrfJ61LuY12/6R414QKzcq6flzDC3xBcUDzvMwNqPtzdvuVts0L1Sbro8ntdbc417e+xn5RnXYJSenUo9BW7N88+2Dv2zks6G000px+YnllGNW/sGjfrij32joHmeZLImDeSh7qBO0tWbAn6dlf45Tr5zfxQH/vv549Fq+XluaLYOo8SDea2ljOSiVWG/t7NvSg2P5H1vbp9zHS+vJxRb6wsx0n/wAp/fqNNe9ncFprekf+m/5xR6poP75rvnIGdOA19OSv2jlex6MgR69MahrR1q7N27CY3nn66s3bi2dixBRPU33yz8GmHDDFf79vXu3h++iknDqcCAalyZddCctWFF1qfdtUq7+KIlqQke9M38Kkw0MyZ/rSbm9s3Xbi1vP37pW0u3fQ9eLC5Xz52TDrllMiWFUnyemGfzWs28qy2bw8/TVFuucX6tM8/7973aHU5Ttv78ktn8xXm4ovdWxYQS0hcB3zSr5/9eUINVzJ/vvNYvBIISDUcXkudNq3gc846WgGNeNn5BZftu7NOXka/0o2zi5SFnzDb8ZzVi+CWIiuyHW/Z+Q4S9MhCe0v/ZZ+0/4jdsYsM3dbD5iyIaVOvcZI4m/dEblpGeVUb0PXP6v3OnX2Xnapy5vb9n8cj3y7n3Jm1vGjyJ/HyqkfMtk1FVd81p3nNxzuZjRVB9W+fqoKjaeR9JAbS9OO8VBkrrJ+5+/SxD2S/GlqiUvp0zTPigHmS3O5PC+PPJC3TU7fLdizXOLx734nhs802rQu/HT15o70ktR4PFP7q1p+kQPfOip2LrX71FawxVgQ14crc25SUtR31bx90eOE673c4s1+0bgIieb0wge5d9Puh0opseyjqs7W3XoSroh3Z6BpS/ovJd75gVtCdmlrUBeecaaObJB6rAnriLfe3nzueMpdtXfSTHO0eg3o+6H1MseKldeHWiZwROgZ0dKfNa9qay8u7/MKY69X105vG5RCxY5+T7N78s+J+ye5vtD+OVNYFI7xJXk/PsNfn3fK/so7bik7yeqJeWhe71dfNyrl+HJec92cfvS5eq65nca9vGejeRc+sCdUnSdTb/+2anZgcyQiKbrKfkGu7BR0/UVo1+heWvG6v/3DPALdick/OaKKRyH++Lfe6kjeh/crJETYVJeb5C3vHQPM8SeRmDPpadm66anpH6H2As9/MmRrb38bkedjrB8x+w9qU016WSt7vHylnXfDv98qpp0jJpdzuzBoa1jmy81Dhf597e75rXHd7v9FueTzyNgPdu2jMa1Zu+s+9X7a7zWSqUW2HAZYwo0fbm75JE/ttrFhhf56VK+3PE88CAenhh+3P98or3lQ2T0qSTjvNnWXt329v+tWr3WkXeX31lb3pC8ubKQlSUrxZbq1akS8j0ptAHn00p0q626M2bNrkfN78+7Brr7U+7+LFztuVpLVrI5vfqQFhflNPjuD3ZqjjtJORU774wnEoQMwicR3wyUsvub/MSO6g88rPP9ufJ9TQX87eY8KfiQM25+reRWf+3W6VRkMDL3bvpJWxIqgts1MlnVDoi5WhT5idXl0qlWC1WkTIiEK24y17J6j/8bq9i2wXjL5Yfp+whf/Mys9ufK8BScmOL/Y6u0iaqWZ1HTVXiGiv2+aJ76wqsdGy+EMrNweYr187zd9EjhdGqMBoGvkfJ95YrVMd3I1/5V+dVUMzRxwwP5dRo7rKyUULM0krx8NX2YkloH9+EJ3vZen6Gpq5yl7lu9svC3+sHHqlZGdEkRWfFXy/Cd27qMFtXWVviGcvxXbSepYJy7L2s1n7WjMZ4sW1XeUkaf3Fu/K+37uukrxNNMstJ8E6dIVtM7Fj2UdRCMlH7iYa5Xy2v+/Xn5W57SVnWKmi7W5iopmEGBv7g3iRoNLdW7q6xCfftnfMGNEl+vtMu8egNz6NzaTW/K6bFrqyb7gE/C73S6FvbMzxyTR3v7eEQFab4b+TtPSyev+rqq62Hw0Pv2lv2zBHg3J2Q9hnWyvr0OGcv19dF3rd+MJypSx7cTSoZaNsYmGtrQjq/Snhb2KNLEk063hnfhaLP4woZJc5OZ5Fet4rsv7syOuk6PUDvWCuD1NedDb3us0525q1fnVWIlyirp/u/00U982TnN3Ear9gyM9/lNbvuZKHOt8nB+3Gpi2z3SyikqWw0XkStfyTnJsfPnCxop3bzPMX1o+B5vkRd2zbbe8mqozMouN0MkKkZOil4c7fT/fz7Z0rGjIv/H5k/0FpzGt+3RwVbwz9+wH3f6+kLV0ld0ery9SM2yJfirEiqPt7Ftb3ytDAi1M9Pd81+WbJzm+0uf+O7Jjp/YgD8XGOMJZs2WJv+vR0+230sFmMq149qVIl++0U5bHH3FuWF9xIPM9fqT0QkHr3dr6sEycij8mpji7drI+86te3vq716CGVKeNtPG5asaLwbSD3w0pBzp9+UqEjP7th926pZ0/n83/wgfN5W7Y0t+mRI50vI5xzz41s/qFDXQnDtvbt/Wn3xTDnPu51OPJXuLy2zZvtL7N5c2exALEsYBixmOrqnQMHDqhSpUrav3+/Klas6Hc4iGHp6ekKBoPq0qWLkuyO1xOGkx89kyZJ993n3fJjiZW9kv33aGj0lds09cavLU3t/IRNpowV3t163m96VvW33HEZmtQrqPsGhp8/qWcXnch0eiLK35NM10yV/vmBncTITP22cKVOsnhCxckQh6snpqojHcRix9z+E11YUk4lRqvbze/7par9nOx/MlzdNie/IN27xEkicqTcfR/h2Nvuvd2/+835ep91IdrOjT/mtvHNU6mFVtuJte9l6foa6v1wVkKj9WOQ1bjsvV9Dlcoe/3OobDNp3bCYXBcd8XFBKm9ic/7PzSjkuXCK3ndFd9hxq7Gb39Odlwf1+BCPQ4qydZul9vd4dfwyPzfr+0pDwzqn2rpw/vjr0rCF8TxUfdZn5KSCn9tx2G3b3f1XrB3LimL3GFS98jHtefFfIae6Z6700Iqik4CSEtK0c96/VMPFnOuvdujPyqBW1r38SXSGxnUP/pkkYrdPZK/vmm4YChqGugQCSirkpIb936TR7Tu7IZJtw1l/NUNDOgX19Gor+9acxNPBHYOafUfBKRZ/KF31SNesiMK0ba5nR15LjcpF5tlvSEPmuXUMjI0+nf1+lBl31xZBpW60+j0Vvgw33ru3/UArx7qsfZ3T9jO094WgTqlibeqc/X+k79nf9c/+vsb8nJNLZej4iawbCO3I2Zfba9vQi3elqt+lNpuLIn9+r+Y+zhu64rygUidEqekQ7O8P3O0fznyjrobP+4vl6RMTMnRieajfuM7X83CK6i/Z7bdKmfpyVlBNzjCfuXGGtODd3H3USH6vOPm9EW55WQncsfhb0Ls+Z7eJ+vOYHel7NvRY31QNv8aNqPwVrd+S0TlfFX+/V/I4fFjat0+6/np3M7dDuP126SmbhdjsZvrYvb7uRSaRnRh69ZKWRKngUbTyK1JTpa5dQ09z+unSzp3RiacoKSnSsWPRaevTT6ULL7Q2befOUjCOdy1ZrKxvPXpIy5cX/prTXKbp06VRoyxPrt69rVXSHjnS/o0pofYv0dgejxxxdlOA09iinZkZyWeYFWs0jxl+57gVFrvX37WT5ZesDF/EKzu52VRcB6LMyZAfkvWkdUlav95ZG6E8GKVhwVNTrU135532lz1tWT2Nmd847HSRVWn0tqewcGRhFXetJa1LUvryoHY8l1Utwk6s/l+0fG2MZK8CR4Kq9uuqxO6FDbub15pNkpObFEhaL54WjXZrWO+sCyAJeuc/4aeuen0HVe1nd5QHSTLUqZm726Y51LSbFW+scm9Icmvs7geLrzsvd7reZ1U8s78PLXqIWHsjbLixzsx5s+gKnPaT1iUv1639R5L1yz5p609yOQkg0nXc/76CFfPflkJX0rWf3LRhetHv2d1K2uFYjd1MqHniLbMyYe0Bf9HRo17GFT3t7/GyYp7dRCTDdrW3u64y15nv52T11+OFISlDu+enZv9W6dPayW+OSGMwq+Cl3uek7axqw5EfUwLd2yh+qqVGVhk2t873mcfSh1Zk9WfzV0Q1H+mZZVTzxpzKqGOfiyR+s82md+Ru02pl35xKrQ+tMCv8mtXW7Xx37u5vEgJ214UEbbRZkc9PfR+VItk23rjHSX81QU+vtvobK6fq8zNrCq/6fNUjVkZsytHjgj1Rq4x2Ww/J3dE7ov3bLF8EjpLWT8hYEdSb46Wc37NWPw/zWNa1hXuVVN3tB2Yd53If69JzPZf/kaH7e6ZqSKdIjseJqjbA3BbmvFn0VF3uz7//j3TfmLX+XaFKV1+k/QcjXJwN3SdJTs4JJ5fKUNrSVVo13tl+KqtKvd2CGrGctC5JmSuCCkT93FLu43yiVn5ursPbd0c5jNwROUoOdbd/OKTzdlnbH5mJ/xlFfG2vrpPsrqeSof8+7sZ+1W7fPlFN7+iafW5nwbv5+6hOC/tkVeF26zvKOZcS3fMHVpjf394XvDvPk/eYHYnMYpG0bvL+fHV0ktYN3dAuts8RxqJp0+zPs2yZ+3HEkqVLo9NO377RaUcKn7Qu+Z+0LkmVK0evrQsusD5tSUlal4pOWo+E3UrfVm4cCQScjaZQ1Ofw1lv2l+VEWXuDEkVkx47otZXFMJyPmlCunP15+vRx1lasyJ/H5zRp/frrrU/rJAn95ZftzwPEMiquA0XwouL61q1Sgwb251uwQBowwN48bt6RlnsvcdJJ5g3mXrGzR3JSdV0ylLZ4pZKTC59ixSdSj8lOKzwYur9nqibe5GBWH3SdIK38PHxyT0AZ2jbnLdWtGZWwQho9R3p0pd3vJ3wind2KRpK0e36qq1UCEVtCV+N1InR1kchOFntTuWThv6X+jzutUhcJQ41rbNBXz+6xNPWM16QRL4falxn6ZFpQFzQq+MpFd9TQRztahpjXnF+SFo1O1TVtLYUUt6J10SLcPvnVddL10+3s650nTOeMZOLm+zY09ZpUjbZ4snvNJqnTeHvHtjrVDumHvWUUWZX8/M9Jzj4H+6NL+Mm9UTWyWNsH51QbjLXKaVkMta2/R+89tsHvQByLbnV7KyI7Pt83T3rwDT9GP7HD3P92axnUivsLnyI6VeQLPw44297NZZ2eFNTO9IIjXV3bNqhXRxc99wUj2uizrZVl5xg2s1+q7rrKZpgueWuj1Hmi3fUsZ902q09brXReFGfH8aFPymIVbbuxyMby3K24blaOt9v/jp8qhnZ/dz/YO/XPG2qdLiMShfdv4mE0BXePh5HfmLjzZ+mMWy6TVKrINu7tEdQDg8y/cvYrdt9Dwc/b2mdhvscJVwY1/kYbzdkQ2XdixvePbkFNucV5DK+9L107LfI4bmgX1Hmn5f8N7vUoK4YqlTqsP5a+62EbTvvrhnq1StWSsTnPOK1Gbf8cVPzs/92rqBwJf2603rxdOvsuu8d2Q6+MTNV17dyNZcz8xpq2rJ6FWMxj4Ot3p6pP67yvOBuRwN7nXlR/6e9PSM/+y8/1yNCj127QyOvN85WRH2/Nz/nsU/boP/Py/g6fvqyGRs0Pd76y8OW5XQk+96h/Xhk0U3r+nUi+W0NLx6bqylYuBuWjOW9Kg5+zst8wv/NuLVOL/D1eGPNG68phlu2G+DlOFcmHiuuS1LOn9MYb9ubx6tr6lVd6kzgeC1Xf8/O70m8s2r1bqlEjum1a+R4CASnTj7pbLlm2zBxJwIpQIw5Ekstkd30fPVqaOrXg88ePm5X5I5V/G4/29mhnHzNvnnTzzfaWX6qUlJ5ubx43RevzjHRfvW6d1L69K6E4tmWLVL9+ZJ+Z3c/h8sult9/2tg0g2uzkZpO4DhTBi8T1aA8bE2kn5MUXpX793F9uUX78UTr1VOvT2x3KKEfRJ0ycXwSNjyqjxYH94dOlUN+P/eG0DZVNPqHDi6N0uy98E60L/pFexL66TeqfIxK4z34Cf1EJsU4qS4Xep/aeIi39yOpnZy5vUq+cESqWrq9hoZJ2fCXkusH7xE9rFy3sDwEtbZqRqnPrhZk0TxtevVf7F2bsH9uyEhvcvdll1hLpzhecVLeMn23EWT+iMOFviMxv+27pzL/HWnJ1bt5+l9Nelsa8ljvJydCILkFNHxzZcrf+JDW4LdY+V3eGKY+9ZPzc7K0vZuKiF++n6DiWfST1muL8puTC5zOyH/99PKhmdXNeOXRYqnCd3cQkfxJbc7O/X8zd33MrWTHnc/1yVlBNzih8qv0Hpcp9L5KZaOHntmG+/0+mpRZ6c2RRwiWuS062e/NzS0k8ol3Pv6tTqliPJ1qmvyqNetXu+yp82zCPpdG6udb8nm9ol6qFI7Peh519in/JOl78lj3yWtBS9fhrpkr//MBuUnNWNXHJ7T6uWaCiqBudDa1/JKhW4QdnjNi3u6SzhjqtIu/e+Se3Ei2jv//1tp+ak7QuRfo76KdfpNMG2U9UtnvOZMP0VLVwUCDHL+4XiHAi+r9dnd7I4FWM9uLJicPsg0XnXEGo/lL0bmDLL0MnlgWVmK/pSM/p9rhgj5bfW/jN4xkZ0gVDqurz3ReGXX7F0vu0c956JSZIFa5rKamaIv+cDJVKOK705d4mrWeJbGSC+DknZZXTbTUc+zdaO2VoXPdUTbaZ2BdzfEpcl7xL7H78cWnYMPeXa5fd99ejhzeVp7OQtF5Q2bLmJhBtVm/ciOfkdbe272gmrktSWpryXAfp319auND+coqyY4d0+unSU09Jt99uf/7ffpOqRlBw0Or+zslnFwsZmdHYz7nxPuN9f+xXXl9+WQn4gF9IXA+BxHVY5XbiutODzSef2BseKb8mTaSvv7Y3T/6OZ2HcPngmJ5vt2uUsjoInTTMypFJXOj3RGF8JW/HO7ZsL7C+vGFSKgGXuX/A3H6/fHVSf1u5UXvN6fbRTpW7qNcFCq0w7q8gkFfb+jh6Vyl4T2f66a4ugUjd2kFQ6zDLMOL6clVpkAlVx5F2ipKHr/5aqly3cdGYmDrh/cdedyrChGI6q89fo30E//2EhEyhXO073GwvuSNWAMMMDFl4Zc58KVmQy1KV5UCsnOgjFJ+5c6Db3DaOv3KapN9rsaMv6qDd5eV3JMov7x5ZeD0nLPi5qv5I7AdbQphnBGLkBJVLu9Rdj8z06X09y1n833pPbIys5a//hq4K6u1/sJSZZddJ1nbTvsAvlkVxT+Pd62sCL9dPv5RQ724L9785K4roU6W/enH3q9X8LWup3RcKsohvumObkGFb055vYo4syjWjuFw0l6JgylSw7FeN7X5Sqxf/wMq7QUnpfruPppeTe52RumwvuCBboS5oVhd3oYzvv497aIVVz7nTYbBR1vk966z/h+4FJCWnaOe9fnoz051/iZ6S8OQdi3gTp5IaYovdTKb066/iJRJvLs8P//oMTsdGvjd55fGc3o0n/fTw1z82R7sZkf+SQ+rderG17nPTBnK2nofpLk1+Q7l0S7arroUdIsvc9m32106rs0HfP/J+lG8KcMEfZcHqjn3/J4M62meJ5Xc5uQY/kUhlKW7oq5FTObrS2q5jdTBBHieuPPSYNH+7+cr3KIrJTcTrLkSPyZL8Z70mSXkhIMPMmou3oUTNh3qp4TcyMhcT1xYulqxyM/pgVS6xtN9WrS3v2SN9+K511lrNlTJok3Xdf6GnGjzensyOWsjG9/t7ceK/Nmkn/93+RL0eSnn9euukmd5ZlxdNPS7fd5mxer74bq/0DwG0krodA4jqscjNxfcYMacQIZ/O6sYUeOiRVqBB+uj59pNdft75ctw6gkdwV67Rjnfuk1rQlNTTmBbtDLxZcDqLDrAbrvHLis39P1S1X5Dxj9yRg9/NT9UaYHy4oXpxVRgsnq6JcbCetZ1n4b6n/40VXqQtVGVOSHlko/eN1J9utkV1F+4U10sBZbia6WV9GQiBDGW+UrP28+xeU7a2zTofTfml4qvpeXPir3l4kj+zCzJ7fpJo3ennxqJhdOIrA/Lelm56K9EK34Thp3anoJnk4P8aMf16atDz/8cJOAlvOTV63dgiGTECL/OYvI9f/3d3fvXFPqrpf6NLiFEtJPubjk2lBW1WmC+NOxdfw66nzZDS7sWT1LexVCHR7XXHCWWVYr5nf7+2XBXVSmaz9it/bQF6dzv1Zb0/61NY8VhPXzcRWN5Kycrbbb54KqlHtCBf3p5WfSV0f8PZGwBfvSlW/S4ueIvr7xazP0l6yn9/MPmYHScnyajQx/49RnJez66ll0u3zo5346ZacPlxAGdo25y3VrRnZEp0l8ht6fmiqbrws1HI7/7lc9z/nGYP+T8N6bHd9udHg/z5DisZ+Y8qL0rjFdrcz7+Oyt74bKpN8WEePl8ua20ZLzkeIDNdfiu7NN9a+k0+/lS4cHapvZC7nzsuDenyIJ4EW4HyUA3+Pq9b3EcX7+G93W5WkH+el6tRT3FqmU8Xse/Excb13b2npUnvzWMkniJXEdcl+LEOHSk8+6W8MJYVf2WO3325W27YqKUk6fty7eLwSC4nrTuKIVfmLY0byvsKt+/FabT3LypVS167hp3PKjfdatar0+++RL0cy44nmeh7J+7/uOmnRIvdiyS+W1kOUDCSuh0DiOqyy2tl76y2pc+e8z+Uessru3aG5uX33cK9e5l3M+c2cKd11l7NlunGwj3Qv5DyG+EocRY7ILnJkZl/cejZVevjN+BjqG/6LjYtrUrzue5x/flmlHfz87GMj8STa3Fvnna2zztovuJ/uPUVa+pHX22/k22W5PpfryHE3q2LmFp/7Da9EdrEuQ2mLg2FHJ/JCLCavF6zO72YCo5mYlJJ4RLuef1enVMl5JdKk9V6tUrVkrFvLy8+b/qK//RBv9iHzVkk3z7Y7+oAZj53q/OYoHk6SNrwWO78tvK8M61TWyYJYi0sa2mW7nhxsrwSQ1cR1yYvEEnM7fvS6oEZe53wp0dkXWds2ol812s7Nr7GzfWfxZjQxyZubF+zEQR/Xidg5vxGpnBt0RnQJavpge3NHcp7Cn/2U+V7TFq/05feIW+6ZKz20IpKbXd1g7j9OLAsq0cWvaN1mqf09We/N6s1OOfF4vT/r87C0ZL2dc+FOR8JwfhwM1196+V3phhnRuPnG2Xdifsa51++ckTejLV4rmIeO24xxy+yg6p8a3bii6Z3/SJfeZ3c9L3q7i85xPzbWH1f5mLguObv2HWoU95EjzcqrdsRS4nqnTtLbb7vX/muvSdde697yYoEb1bBvvll67jl34rHrssuk1avtzROPmW52vp9evaQlSwp/LdLE9VKl/Kms77bC1gEvktevvDIn/8uqgQOl+fOdx+IFrxK5R4yQpk+PfDluVVzP+h4jydVz0l4kvE6yP+006bvvvBm9BMiPxPUQSFyHVVY6e14ePHInv8c6L+9c9D4G58MQn1nlD2174QOnDSNC7lRptFMxLX6GnoZ3+j4qvfKenxfX4vsEsNNKZn/O7XI01pXEiutZIh9xILJ1NpKLbEePSmWvia8LM94kYMX3fsMLH30tXXS3s1EgHuubquHXeBGVNdFPXg/XWY/WMTDrhtOvJTWWF/skd/qW0vdzUiOu/FmUD76U2o512g8JdTwN9V0bGtY5qBkOh7mMFTnJ67GQoOf9uuJE9JOA45X5/R15LdX2iX47ievm7w4vkrIK294NPT80mF052BwtqaibSrze7xvaMD1VLRqEn3LAY9KLa2OxarShYZ1TY3K/+cAC6f6lxSVhWYrFGwTiiX/J607PxVpZbs6IOhumB4vclxw/LqX0qSupqYNYDK1/JFWtGoefctBM6fl33NxPRX/kp2jp+aD0xqd+nG8z9Oi1GzTy+j0RLymybSp6+zN7o486YWjUFama9ndnc1vpLzmvJm5V8TmP8tr70rXTwo2UY77fcKOeRZM5Wl7+fYKhLs2DWjnRr6iiy/62amjV+FRd3iL/ciItJmPtfMMztwT19242m4h1cZi4nmXSJOm+fCNH213e7bdLs2Y5jyGc5GQpPd3ePIYhTZkijRtnb76ePQsW9isu1aYlae1aqV27vM85fX9+Zo7ZrbgumSMTXHmlN/F4YcYMM8HXqlDfR6SJ699+K511lu3ZYsrgwdLs2YW/5mb+UmKilJkZ+XJiwc6d0hkhRlB3yq33+vvvZtV1pwq7yalnT+mNNyIKK6Tdu6UaNSJfzt13S1OnRr6ccNq2ld57z/t2ULKRuB4CieuwKlxnz8sfNDVrSv/7n3fL90JCgv0Oidt7n+j9yDR086Wpes5hlXq4J7oX2UpmxWWEF731MP4vmny1Q2p6R9Y4ZPFwZtA8UH05K1VNPPghH0+crefurLP2E+myEha8T6wyubdddp8kvbnBrcQG8/P/ZFpQFzRyYXHFjL0L3e5/15EoPhUyoy38PimpZ2edyHRSddpcRxICmVG/0SknwbSwdSKnCulLw4Na9J6UurHgxf9n/x7ULVdEKWAfbf1JanBbLGw/hi/rSjjdJkqpG+Opn+YXQz0u2KPl926wPaedxHUp2jcTxEoFbXuJe7F5TIz9cwf9pjfWS+vqKbY+N7us3+SAokV/GzIkZah5jU+1ac+FHred0w/KnYzZ/7HGWrjWyfrv7DeBmyOZNay1Td8+U/yS1ouSkSGdf1vVP9cVLxPaIzt3Yd5IFdkN/9e2TdWrox01b5u3/YvIzwNZ7S95t/+K//OvRel8n/TWfwr+HnzxrqD6XepXVChK3Zsv1g97y9ucK29fevzz0qTlds8zxuaN1r7wOXH9rrukJ56IbBnduknXXCPdcIP9eb3OINq6VWrgQ19+1Sqpc2fn8+f+XPr3lxYujDwmN2IpjN3EZL+zxpxWRvY7bjvs5rJ4mbjuJJ5YE+67dyN53eky7r9fmhijN9slJUknTri7TDe3wxo1pJ9/djeOlBTzBna3lS1rdhfcEs1tsrCb3AC3kLgeAonrsCpUZ++ttyL7URNOvG6V27dLZ54ZfrqbbpLmzfMmBu8P5sX3xGW8SuzRRZlGNC6yUckLRfP+Yq95cddYscqj5UeP91WR3MQ+Pzd767l7n91106RF78dmNU0v1g93LiKz7lphfZ2Ovc/TWoJ1tG7iiAfWv8OffpFOG2R/tAe/E5E3b5fOvivvkPSdmgX19mTfQopZ/ia6xt7+JLf46qdZ5WZlX0M1K+/R/160n7Qu2U9cH/uc9PCbJeVmAvOYlbZ4pZKT7c3pfJv2qupzfJw7OH5cqt+3rnalRTKSiR9i64bC4iCl1+U6fqKUvE4gTwyka8fc1Tr1lJxXolsIINKbc5wfw90Z2Yd1PsvOn6UzbrlMUtZ6696N31Y/Y/OGyM7K+V7j57sd+Yz0WNCrUV0ify92+kvu7kPM+Hc8F9Tp1V1YHBChX/ZJ1QbY/S1g6MkbUzX0yqx9pbPRT/0+vxEzfE5cl/xNKo1GroKTonh+SktTgd+rx49L9etLu3ZFNxY7n5uV9ShWvgcnlZEfe0waPtyTcFwXa4nrTmKKFQ89JI0dG346v95frGxTRXH7c4mFgqWjRknTprm7zFDcTlrP4uc2uWqVdPnl/rWP4sNObraX48EBxRZJ64WrW9eM3zDMu4zze/558zWvktal3J+fFx8kFwliUcYbQe14LlU5Qxd6wdCDvfneUTRzv5Ap9/c9ZsL6j/NSi0XSupT7s4oHBvv8XIwVQf2jW9b+NjPEI0OrJ6a69tmZVcdibZ3xrk9w86VBRbYvob9ilbEiqLZN9ij05x2bn2f68lX6cV6qpDQVvk1m6JlbUmWsWKk7L8/abuP4h0ZE7H2Hp55irhtdW1j53Mzj9PdzUn2/qNusrhm3sWLlnw+S1oviXb/Nitjbn+TmTT8td7JgtJjbvZSh1PsK21fajSfrPWQ6Tlp3YsotUs73UZz34eZ7G33l97aT1iUn27S57z4jOfd+3q3P19BjfWN3G88tOVna+fp2n/eJTsX2vjTepC19S7vne9FfNLe1my81+6Qn3sibtC5F85gckHkpzHlFbOkPx+tdZO8zNn+P+On06pKx4m0ZK1Zq4MX5z1E4XZfMdcRMhC7c8NlmonSg+xVqcFtXmYnzkSZNR/+7nT7YbNdd/qynxoqgNs3IvQ7Y+f6z+otmn/GK88zzWCStI1acUkWqVNZuadCAbp/fRYk9uuiMW7rKSdK6RNJ6LHn0UX/anTo1Ou1kxtop/xBGjy6YtC79+btqZ05+RNbj+++9iePhh+3nkhiGef9FYSZNiq3clOXL7c8zYoQ7bd94o5kwmv8xfrw7y4/V5Hqvv//bb/dmuVaS1iXpmWe8aT+UuXOj36Zdbn7vM2e6t6wsPXvanydU0rrk7nvevdubpHXJ331y587xezML4hcV14EiFHWXopc76kcflUaO9G75JUkgkCF3h7zkIkGsmzhfmrDMq4q88VExDf7zotJPcV33zOFpY7GKdm5s+1bYrR7qxN3PSlNTo7m+5K7Gl//5TF3bNujpMN6RVQ4tvvsNrxw9Kp1yzV90WKcr/5DZS8cGdWUrvyJz17KPpF5Tsipyl5Qq7JFvE2YfM/9w6uayuzQPamWMDvmJ8KJfed1Q//apesGlC2pe6jZRSt3oTnXYBXcEtfRjacVn0dr/hN/uX1gjDZwV/ZFknPaZ/B0lIBoMjb5ym6be+HVESwn9ORnZj9T7grrifKvz2RW/vx/iYz0z1Kf9Nr0+IrJ1BUXrPkl6c4N7+/8BHa3NsfIzqesDsdpPde83lv3tjN93du0/KFXuG8k6bB4rUhKPaNfz76pSOS9Hp8ipjBxtj78uDVvo1jkWd9fTSM4xXfWItPjDwn675Wfo/SlBtWnqOEwgagLdO0lKlr1jh2xMn3s+jjl5xEDFdcmfBLJoZg/FQ4Lc6NGRJfMPGCC9+GLRr3ftaq5mRSWXS9J//ys1a+Y8hnjSu7e0dKm9eYYMkZ56yt48K1ean71VV1whpabaayM3u+v6nXdKjz9e9OtuVVzP4sW2mHtf4uby7e6jor2fiacMTDc+G6/er53Y3B6Fwq22IuH38TGe1mPEHju52SSuA0UorLPn9cGhZG2N3pozY78Gj6ioWDz5Cu94c6HV0It3parfpS4uEsWaO+thydjveLXN/rn0iJdz2dmpeuvBSOMp/qKRuC5FK5nG3PYm9QrqfwelZ9bkvuBp6Mkbg1G7qExSA7wUH8lpkTJ0ZpU/tO2FD/wOBDHsuZXSrXO83h6y+ibxt492diwy1LDGV9r85PZCq5F5t/8xj4MjugT/rCQaXtE3LuVdbq9WQS2xWMkplEj6TGOfkx5+s7jtu83vLG1x0FGl9cLMWyXdPDt/wpqhK84LKnVC0fMl9eysE5mJivQ33NKxqXF9w1v0+tuy0Ub4/Qrc98AC6f6lVteHnFELTquyQ989838qU8Z527HXT3X3hhTr74/fd5Fw79ycIlxGqGX7+/2an1GkhX/cfx/ROscExBN3ttdQ/N8nxaQYSVxfvFi66qrothnNfIUuXaRVMTzYcLjkYXjDSRegR4+iK7ZnZEjnny9t2hRRWNneeEPq3t369CedZO5O7Ai3HbqduD52rFnR3w3ffCM1alTw+dNOk376KbJlO90/Ratb+f77Ups20WnLLZF8Nna3BbusxOZknXD6nqOdz5eUJJ04Ed02cyN/EU6RuB4CieuwKn9nj6T1OLN/vwKVy4vk0ZKHiteIBf0fa6yFa+vJeXWnkrPeuXfi3fzcHusb1Oc/Si+ti6RitVSSvoNIRfOiorcXagy1rb9H7z22waPl20dSA7wUe0lBbjG3h4OvBlW+nN+xIF78vl+q2u9vksqr8NE2IqkAG9/76PlvSzc9lTsRuLDPwXyPwzoHNeO28Mv8YpvUfLgblXWLrqIdi9zoM63ZJHUaH6tVia0y15feFwW1+B9+x5Ljp1+k0wY5OTYWr98PW3+SGtzm9nkVI/v/PS8MqnvLrP1KuDbie/9ZHHz6rXTh6FDViw09el1QI69zt93Y6acaevS6VNffX5MhbfT1j5VV9AgR5rmN4de4225JEzvrUX6xsW9b8YnUY3JWmdHYOXdG4jpQ0G2zpGfWeDkSZfyOGuSpGElcl6JbdXXRIumaKPdBYnl3T/6GP+66S3riCfvz5U9ef/ll6YYbXAurgBEjpOnTQ0/jVYKs24nrUnSqb+/fL1Wu7M2yQ/nlF6laNefzWxWv+4xYTuS+8srCb0p54gnpjjucL9fue/bru/3pJ/OmDz88+aQ0dKg/bSO+kbgeAonrsCp3Zy852Z3OXlFK1lYYJfv3S6+8osCQW+U8cTFTX84KqskZ7ocHb1HxGrHg+HEnwwmXvPXuqWXS7fOdXiiTsj6zLbODqn9q3lfmvCkNfo6q1V6L5kXFtzZKnSe6eaHGTKSpfdIOfTs7ssqAXgl9TDPX12+eCqpR7ejGheLBn2SO3Alsbiddsg+Hd66ZKv3zA/oVvadISz/KOyLJ0rFBx1Wmne+H4u+zdbvP1H2S9OaGcDcV+Cn3/j7nuVhPxmTUG1OX+6VVX0SyfZqP/z4eVLO6hU916LBU4bqWkqoV0oahmf2CuivK1SURO/xNOvb+hpTC1v+AMrRtzluqW9OTJkuk2Etej61jRs7nI9m/acub90HiOlA474p5GJp7W6oGdfZg0fEuhhLXpegld/uRs9Cvn/TSS9FvNxzyN/wVT92Ali2ljz+WEnPtpm+5RZo719nyHn1UGjky9DReJK5LkX3udrYZO+1s2iSde67tcAqoXNlMIfJKvO8zJk6UJkywPn28v1/J2qgmL75oHqf81r279OabBZ9/5hlp9Wpp6VJv2i0O3zOij8T1EEhch1VZnb2ePbvKyyHYStYWGEV/Jq6rShUFrrtKXHQseSK7MME6AHcNny3NXBVunTR0ZpU/tO2FD6IYWWxwdqHM3E47nxtUcFLoKX/ZJ1UbcLGkMgr3HbDt2xfti4rOL6zmFz/f9wtrpIGz8lc6NCyt/0A43iZz5E1azJ+M0/dR6ZX33KocHD/bNOLbrCXSnS9Yq0B+b4+gHhgU1fDi0shnpMeC9kYZGXhxUPOHex+bm7zuM23cIrUc6Uc1diPXI+eGhnhe/xn1JgeJ/PCTtVE/vMB6XJzETvK6IbOq8Sqf48jL3udjbhtdWwT15nhv4iFxHSjclBelcYvdrrrO8S6kGEtcl7xP5PUzZyHWdvnkb/hv+nRp1Ci/o/CHlfXPq8R1yf72+I9/SFOmeNOO29uiF8nrlSpJf/zh7jL91KSJ9PXXoadhHxmbvDqWfvmluV4AVpG4HgKJ67AqPT1dyckJ8uqk5pYtUv36ri8WWXIlrqtcOZW/upMOH0sWFx1Llo++li662+6Fe0N92m/T6yPC9MgBB8xheAsOs31y+Z+1/bkNKl/On7higZMLZU721ebQqoUNdW7o2rZBvTra9iJLPD8uKrpxc1KsV/sEoumk6zto36HSivx3T+5EdUNzbwtartq1ZpPUabzThEv68PBP1wnSys/zViB/f0pQbZr6GFScKqqvnMPefiXWRLPP1Odhacn6aCTqFd/9r5VRbwob9ak4em6ldOucUNtmFkNjugb1yK3RiAolUa+HpGUfe32DTvHdr5VkX+2Qmt7h32hTiYF07Zi7WqeeEsWmbQjfB5MkQxOuDGr8jd7GQuI6UDR3b8TheBdWDCauS9K330pnneX+cv3OGLrnHumhh/yNIYvfnwVylMSuwOuvS336hJ/Oy8R1SZo9WxoyJPQ0q1dLHTtG1s4jj5iJ7/ldfbX02muRLbsov/wiVavmzrL++COmDhGuOXRIqlAh73OBgLRtm1S3iFH1EBuWLZN69fJm2RwfYRWJ6yGQuA6rXnklXX37lpLbJzI7d5aCnAfwXr7EdSl/xd3CLzz+o1tQU26JZqCIlrwXtwrXsMZX2vzkdiUnRy8uADmeWibdPj/8hbJnbgnq792iFRXC8euiYlLPzjqRmSi71R9LSoIRYNfv+6Wq/f4mqbwKvxCat3p6QYZ6XhjUsnsij6X7JOnNDeFHKsl6vH53UH1aR94uAHjJjz7TjNekES8X1r+2k/BZ1P7f0MNXBXV3DAyX6xVGvQFi12vvS9dOc6saO/3KkiK61ddJCnWCxHUgNHf2Y+yfLInRxPXc+vWTXnopsmXEUhXVWNjtl6zMqdjnZQJmrLK6DnqduF4SRLrPYX+BWOfFcZX1HlaQuB4CieuwKhDIkJTo2vLGjZMmT3ZtcQinkMR1AADgPj8vKv70i3TaoE6Swt1sSIIRYEfB0SkMPXljUEOvjG4cDyyQ7l9a+CgZl58T1KoHohsPAEQilhKx7psnPfiGtQraTwwI6o7e0YgKAJzr+6j0yntOqrGTvFfSeJ+8bq5T0ahOXhzFUn8JiFWRjkRZqdRh/bH0XZejKobiIHE9y5w50uDB9ua57DLprbe8iScSdnf9Tz4pDR2a97mdO6UzzrC3nO+/p4pwrCpJ3YFvvpEaNbI2LYnr7nC6fpWsLEvEMzducsstlm54Q+wicT0EEtdhxbRp0pgxhpz86C9ZW1QMI3EdAICo4KIiAABAePSZACA61mySOo23dnPO9X8L6uVR0YgKscT95PWcqv2fTAvqAosJRyiI/hJgjf39mHlTzR8vB1WpgndxFStxlLie5ZdfpGrVQk8zZoz0yCPRicepe+6RHnqo6NcTE6UdO6RTLYyqeuON0oIFRb/epYu0cqXtEBFlJaVLYCfPiMR190yZYhYhtWLqVGn0aG/jAbzg5Ca3opATiXBIXA+BxHVY4bTze+KE+WMJMYDEdQAAooKLigAAAOHRZwIAIHZEnryek6zeq1VQS8a6FlqJRn8JsG76shoaNb+lrNyoxegiDsRh4jpQnBX3boHdrD0S1wFEItJ9asnKNIZddnKzE6IUExA3nO6glywhaR0AAAAAAAAAACCWGSuCWj0xVVKGpEyZiZ1h5/pz2gy9fneqjBUrZawgaR2AP0ZeuUcnlqWqeY31ytmX5X9kaEinVJLWAcS94pok+c03xfe9AYhdke53ivvNRIieUn4H4NTTTz+tadOmaffu3WratKlmzpyptm3b+h0W4oxbw2EsWSL16hX5cgAAAAAAAAAAAOCtjs2VnczZfZL05oYuKrpysaHO5wYVnBS18AAgrMRE6fNnf5NEYjqA4s8wvEuWHDJEeuqpnL8PHZIqVPCmrSwkrAPwU6T71MLm7d1bWrzY+TJR8sRl4vprr72mYcOG6emnn1br1q01Z84cde7cWV999ZVOP/10v8NDnHCrUztsGEnrAAAAAAAAAAAA8WjF/RKJnwAAALHNjeT1yy6T3nor9DTly+cklt9xh/Tkk5G1mR9J6wBigds3BC1ZYi6PfRysSvA7ACcee+wxDRo0SDfffLMaN26smTNnqnbt2po9e7bfoSFOuLnjnTHDvWUBAAAAAAAAAAAAAAAAyMswpBtusD/fmDHmvOGS1vObNcucb9Ei+23mN24cCZ0AYothSI0bu7tMr0bHQPETd4nrx48f18aNG9WpU6c8z3fq1Enr16/3KSrEkzlz3FvWzJnuLQsAAAAAAAAAAAAAAABA4RYuNJMt7TweeSSyNq+5JmdZl11mb95//9ucb/LkyGIAAC989ZX7y+zTx/1lovgp5XcAdv3666/KyMhQ9erV8zxfvXp17dmzp8D0aWlpSktLy/57//79kqTff/9d6enp3gaLmDR4cIKkxAiXYkjK1A03ZOq331wICu47eFA6dkzat086csTvaAAAKLbSJR0pU0a/HT2qJL+DAQAAiFH0mQAAAEKjvwQgZqSl5VxnPnHC72gAxJiXX7Y/j5t5Renp6Tpy5Ih+++03JSXRawIQuV9/lU4+OUFmDezIS6YvWZKh337LjHg5iD8HDx6UJBkWhhiJu8T1LIF84woYhlHgOUmaMmWKJk6cWOD5unXrehYbSo6TT/Y7AgAAAAAAAAAAAAAA4KoRI/yOAAAAIC6RU1myHTx4UJUqVQo5Tdwlrp988slKTEwsUF197969BaqwS9LYsWM1ItcPiszMTP3++++qWrVqoYnuQJYDBw6odu3a2rVrlypWrOh3OAAAADGJPhMAAEB49JkAAABCo78EAAAQHn0mAECsMgxDBw8eVK1atcJOG3eJ68nJyWrRooXWrFmjK6+8Mvv5NWvWqEePHgWmT0lJUUpKSp7nKleu7HWYKEYqVqxIZw8AACAM+kwAAADh0WcCAAAIjf4SAABAePSZAACxKFyl9Sxxl7guSSNGjFC/fv3UsmVLtWrVSs8++6x27typwYMH+x0aAAAAAAAAAAAAAAAAAAAAACCfuExcv+aaa/Tbb79p0qRJ2r17t/7yl78oGAzqjDPO8Ds0AAAAAAAAAAAAAAAAAAAAAEA+cZm4LklDhgzRkCFD/A4DxVhKSorGjx+vlJQUv0MBAACIWfSZAAAAwqPPBAAAEBr9JQAAgPDoMwEAioOAYRiG30EAAAAAAAAAAAAAAAAAAAAAAIqvBL8DAAAAAAAAAAAAAAAAAAAAAAAUbySuAwAAAAAAAAAAAAAAAAAAAAA8ReI6AAAAAAAAAAAAAAAAAAAAAMBTJK4DAAAAAAAAAAAAAAAAAAAAADxF4joAAAAAAAAAAAAAAAAAAAAAwFOl/A4AiAU//vijZs+erfXr12vPnj0KBAKqXr26LrroIg0ePFi1a9f2O0QAAICYsm/fPr3wwgvasmWLatasqQEDBtBnAgAAEOeZAAAA7OI8EwAAQOE4zwQAKI4ChmEYfgcB+OmDDz5Q586dVbt2bXXq1EnVq1eXYRjau3ev1qxZo127dmnVqlVq3bq136ECAAD4platWtq8ebOqVq2q7du366KLLpIkNWvWTF9//bUOHjyojz/+WGeddZbPkQIAAPiH80wAAADhcZ4JAAAgPM4zAQCKKxLXUeKdf/75atOmjWbMmFHo68OHD9cHH3ygzz77LMqRAQAAxI6EhATt2bNH1apV03XXXac9e/Zo5cqVKlu2rNLS0tSnTx+VLl1ar7/+ut+hAgAA+IbzTAAAAOFxngkAACA8zjMBAIorEtdR4pUpU0ZffPGFGjVqVOjr33zzjZo3b66jR49GOTIAAIDYkfuC4plnnqm5c+fqkksuyX79k08+UZ8+fbRr1y4fowQAAPAX55kAAADC4zwTAABAeJxnAgAUVwl+BwD4rWbNmlq/fn2Rr3/00UeqWbNmFCMCAACITYFAQJKUlpam6tWr53mtevXq+uWXX/wICwAAIGZwngkAAMAazjMBAACExnkmAEBxVcrvAAC/jRo1SoMHD9bGjRvVsWNHVa9eXYFAQHv27NGaNWs0d+5czZw50+8wAQAAfHfppZeqVKlSOnDggL777js1bdo0+7WdO3fq5JNP9jE6AAAA/3GeCQAAwBrOMwEAAITGeSYAQHFF4jpKvCFDhqhq1aqaMWOG5syZo4yMDElSYmKiWrRooRdffFFXX321z1ECAAD4a/z48Xn+Llu2bJ6/33zzTbVt2zaaIQEAAMQczjMBAACEx3kmAACA8DjPBAAorgKGYRh+BwHEivT0dP3666+SpJNPPllJSUk+RwQAAAAAAIB4xHkmAAAAAAAAuIHzTACA4oTEdQAAAAAAAAAAAAAAAAAAYtz27dtVu3ZtlSpVyu9QAABwJMHvAIBYsHv3br300ksKBoM6fvx4ntcOHz6sSZMm+RQZAABA7KDPBAAAEN6aNWs0fvx4vfPOO5Kk9957T507d9Yll1yi+fPn+xwdAABAbKDPBAAA4EyjRo20ZcsWv8MAAMAxKq6jxPvss8/UqVMnZWZmKj09XaeddpqWLVumpk2bSpJ+/vln1apVSxkZGT5HCgAA4B/6TAAAAOG99NJLuvHGG3X22Wfru+++06xZszR8+HD16dNHhmFo4cKFevnll9WnTx+/QwUAAPANfSYAAIDwevXqVejzb7zxhi655BJVqFBBkrR06dJohgUAQMSouI4Sb9y4cerVq5f27dunn3/+WR07dlS7du20adMmv0MDAACIGfSZAAAAwps+fbqmT5+ujRs3avny5RoyZIjuv/9+Pffcc5o7d66mTJmimTNn+h0mAACAr+gzAQAAhLd8+XL9/vvvqlSpUp6HJJUvXz7P3wAAxBMqrqPEO+mkk/Txxx+rYcOG2c9NnTpVDz/8sN5++22dfvrpVA8FAAAlHn0mAACA8MqXL6/Nmzerbt26kqTk5GRt2LBBZ599tiTp22+/VevWrfXrr7/6GSYAAICv6DMBAACEt2jRIo0ePVqTJk3SjTfemP18UlKS/vOf/6hJkyY+RgcAgHOl/A4AiAXHjh3L8/eYMWOUkJCgTp066fnnn/cpKgAAgNhCnwkAACC0pKQkHT9+PPvvlJQUlS9fPvvv5ORkHT161I/QAAAAYgZ9JgAAgPCuvfZatWrVSjfccINSU1M1d+5cValSxe+wAACIWILfAQB++8tf/qL169cXeH7UqFEaN26crrvuOh+iAgAAiC30mQAAAMKrX7++vvnmm+y/f/rpp+xKopK0bds2nXbaaX6EBgAAEDPoMwEAAFhzxhlnaN26dfrLX/6ic845R2+//bYCgYDfYQEAEBES11Hi9e/fXx9++GGhr2UNuXP66adHOSoAAIDYQp8JAAAgvHHjxuWpfFWxYsU8FxM3bNigq6++2o/QAAAAYgZ9JgAAAOsSEhI0ceJEvfrqq7rtttuUkZHhd0gAAEQkYBiG4XcQAAAAAAAAAAAAAAAAAACgcIcOHdK2bdvUuHFjJScn+x0OAACOkLgOAAAAAAAAAAAAAAAAAAAAAPBUgt8BALHu66+/1plnnul3GAAAADGNPhMAAEB49JkAAADCo88EAAAQHn0mAEC8InEdCOP48ePasWOH32EAAADENPpMAAAA4dFnAgAACI8+EwAAQHj0mQAA8aqU3wEAfhsxYkTI13/55ZcoRQIAABC76DMBAACER58JAAAgPPpMAAAA4dFnAgAUVwHDMAy/gwD8lJiYqHPPPVcVK1Ys9PVDhw7p888/V0ZGRpQjAwAAiB30mQAAAMKjzwQAABAefSYAAIDw6DMBAIorKq6jxGvQoIGGDx+uG264odDXv/jiC7Vo0SLKUQEAAMQW+kwAAADh0WcCAAAIjz4TAABAePSZAADFVYLfAQB+a9GihTZu3Fjk64FAQAxMAAAASjr6TAAAAOHRZwIAAAiPPhMAAEB49JkAAMVVwOAIhhJuz549SktL0xlnnOF3KAAAADGLPhMAAEB49JkAAADCo88EAAAQHn0mAEBxReI6AAAAAAAAAAAAAAAAAAAAAMBTCX4HAAAAAAAAAAAAAAAAAAAAAAAo3khcB8IYMGCALrnkEr/DAAAAiGn0mQAAAMKjzwQAABAefSYAAIDw6DMBAOJVKb8DAGLdqaeeqoQE7vEAAAAIhT4TAABAePSZAAAAwqPPBAAAEB59JgBAvAoYhmH4HQQAAAAAAAAAAAAAAAAAAAAAoPii4jogaffu3Zo9e7Y++OAD7d69W4mJiapbt6569uypgQMHKjEx0e8QAQAAfEefCQAAIDz6TAAAAOHRZwIAAAiPPhMAoDhivBCUeBs2bFDjxo315ptv6tixY/ruu+903nnnqVy5cho1apTatm2rgwcP+h0mAACAr+gzAQAAhEefCQAAIDz6TAAAAOHRZwIAFFckrqPEGzZsmIYPH65NmzZp/fr1euGFF/Tdd99p0aJF+v7773X06FHde++9focJAADgK/pMAAAA4dFnAgAACI8+EwAAQHj0mQAAxVXAMAzD7yAAP5UtW1b/93//pzPPPFOSlJmZqdKlS2vXrl2qXr261qxZo4EDB+qnn37yOVIAAAD/0GcCAAAIjz4TAABAePSZAAAAwqPPBAAorqi4jhKvWrVq2r17d/bfP//8s06cOKGKFStKkho0aKDff//dr/AAAABiAn0mAACA8OgzAQAAhEefCQAAIDz6TACA4orEdZR4PXv21ODBg/XWW2/p3XffVd++fdWuXTuVKVNGkvTtt9/q1FNP9TlKAAAAf9FnAgAACI8+EwAAQHj0mQAAAMKjzwQAKK5K+R0A4LcHH3xQu3fvVrdu3ZSRkaFWrVrppZdeyn49EAhoypQpPkYIAADgP/pMAAAA4dFnAgAACI8+EwAAQHj0mQAAxVXAMAzD7yCAWHDs2DGdOHFC5cuX9zsUAACAmEWfCQAAIDz6TAAAAOHRZwIAAAiPPhMAoLghcR0AAAAAAAAAAAAAAAAAAAAA4KkEvwMAAAAAAAAAAAAAAAAAAAAAABRvJK4DAAAAAAAAAAAAAAAAAAAAADxF4joAAAAAAAAAAAAAAAAAAAAAwFMkrgMAAAAAAAAAAAAAAAAAAABAMfTee++pW7duqlWrlgKBgJYvX25r/gkTJigQCBR4lCtXznYsJK4DAAAAAAAAAOCD9u3ba9iwYX6HUai1a9cqEAjojz/+CDldnTp1NHPmzKjEBAAAAAAAAACw7/DhwzrnnHP05JNPOpp/1KhR2r17d55HkyZNdNVVV9leFonrAAAAAAAAAIC4s2fPHt11112qX7++SpcurerVq6tNmzZ65plndOTIEb/Ds2Tp0qV64IEHHM/fvn377Mo2KSkpatiwoR566CFlZGREHNtFF12k3bt3q1KlSpKkBQsWqHLlygWm++yzz3TrrbdG3B4AAAAAAAAAwBudO3fWgw8+qF69ehX6+vHjxzVmzBideuqpKleunC688EKtXbs2+/Xy5curRo0a2Y+ff/5ZX331lQYNGmQ7llJO3wQAAAAAAAAAAH74/vvv1bp1a1WuXFkPPfSQmjVrphMnTui7777T888/r1q1aql79+5+hxnWSSedFPEybrnlFk2aNEnHjh1Tamqq7rzzTiUmJuruu++OaLnJycmqUaNG2OlOOeWUiNoBAAAAAAAAAPjrxhtv1A8//KBFixapVq1aWrZsmS6//HJt3rxZDRo0KDD93Llz1bBhQ7Vt29Z2W1RcBwAAAAAAAADElSFDhqhUqVLasGGDrr76ajVu3FjNmjVT7969tXLlSnXr1i172v379+vWW29VtWrVVLFiRV1yySX6z3/+k/36hAkTdO6552rhwoWqU6eOKlWqpGuvvVYHDx7MniYtLU133nmnqlWrptKlS6tNmzb67LPPsl9fu3atAoGA3n77bTVv3lxlypTRJZdcor1792rVqlVq3LixKlasqOuuuy5PNfj27dtr2LBhedoZM2aMateurZSUFDVo0EDz5s0L+VmULVtWNWrUUJ06dXT77bfr0ksv1fLlyyVJ+/btU//+/VWlShWVLVtWnTt31pYtW7Ln3bFjh7p166YqVaqoXLlyatq0qYLBYJ739Mcff2jt2rW68cYbtX///uwK7xMmTJAk1alTRzNnzsxe5s6dO9WjRw+VL19eFStW1NVXX62ff/7Z1ucNAAAAAAAAAIiObdu26dVXX9Xrr7+utm3bql69eho1apTatGmj+fPnF5g+LS1NL7/8sqNq6xKJ6wAAAAAAAACAOPLbb79p9erVGjp0qMqVK1foNIFAQJJkGIauuOIK7dmzR8FgUBs3btR5552nSy+9VL///nv29Nu2bdPy5cuVmpqq1NRUrVu3Tg8//HD262PGjNGSJUv0wgsv6PPPP1f9+vV12WWX5VmGZCZlP/nkk1q/fr127dqlq6++WjNnztQrr7yilStXas2aNZo1a1aR761///5atGiRnnjiCX399dd65plnVL58eVufT5kyZZSeni5JGjhwoDZs2KAVK1boo48+kmEY6tKlS/brQ4cOVVpamt577z1t3rxZjzzySKHtXXTRRZo5c6YqVqyo3bt3a/fu3Ro1alSB6QzDUM+ePfX7779r3bp1WrNmjbZt26Zrrrkmz3ThPm8AAAAAAAAAQHR8/vnnMgxDDRs2VPny5bMf69at07Zt2wpMv3TpUh08eFD9+/d31F6pSAMGAAAAAAAAACBatm7dKsMw1KhRozzPn3zyyTp27JgkMyH7kUce0bvvvqvNmzdr7969SklJkSQ9+uijWr58uRYvXqxbb71VkpSZmakFCxaoQoUKkqR+/frp3//+tyZPnqzDhw9r9uzZWrBggTp37ixJeu6557RmzRrNmzdPo0ePzo7hwQcfVOvWrSVJgwYN0tixY7Vt2zadeeaZkqQ+ffro3Xff1d13313gfX333Xf65z//qTVr1qhDhw6SlD2fFZmZmVq9erXefvttDRs2TFu2bNGKFSv04Ycf6qKLLpIkvfzyy6pdu7aWL1+uq666Sjt37lTv3r3VrFmzkO0lJyerUqVKCgQCqlGjRpEx/Otf/9J///tfbd++XbVr15YkLVy4UE2bNtVnn32m888/PzvWoj5vAAAAAAAAAED0ZGZmKjExURs3blRiYmKe1wordDJ37lx17do15LniUEhcBwAAAAAAAADEnayq6lk+/fRTZWZmqm/fvkpLS5Mkbdy4UYcOHVLVqlXzTHv06NE8lWLq1KmTnUQtSTVr1tTevXslmdXB09PTsxPSJSkpKUkXXHCBvv766zzLPfvss7P/X716dZUtWzZPMnj16tX16aefFvp+vvjiCyUmJqpdu3aW3n+Wp59+WnPnztXx48clmUng48eP17/+9S+VKlVKF154Yfa0VatWVaNGjbLjvvPOO3Xbbbdp9erV6tChg3r37p3nPdj19ddfq3bt2tlJ65LUpEkTVa5cWV9//XV24nqozxsAAAAAAAAAED3NmzdXRkaG9u7dq7Zt24acdvv27Xr33Xe1YsUKx+2RuA4AAAAAAAAAiBv169dXIBDQN998k+f5rATxMmXKZD+XmZmpmjVrau3atQWWU7ly5ez/JyUl5XktEAgoMzNTkmQYRvZzuRmGUeC53MsJBAIhl5tf7rjt6Nu3r+655x6lpKSoVq1a2RVxsuLOL3fcN998sy677DKtXLlSq1ev1pQpUzR9+nTdcccdjmIp7DMp7Hk7nwsAAAAAAAAAIDKHDh3S1q1bs//evn27vvjiC5100klq2LCh+vbtq/79+2v69Olq3ry5fv31V73zzjtq1qyZunTpkj3f888/r5o1a2aPTupEQkTvBAAAAAAAAACAKKpatao6duyoJ598UocPHw457Xnnnac9e/aoVKlSql+/fp7HySefbKm9+vXrKzk5WR988EH2c+np6dqwYYMaN24c0XvJrVmzZsrMzNS6detszVepUiXVr19ftWvXzjOMa5MmTXTixAl98skn2c/99ttv+u677/LEXbt2bQ0ePFhLly7VyJEj9dxzzxXaTnJysjIyMkLG0qRJE+3cuVO7du3Kfu6rr77S/v37Xf2sAAAAAAAAAADWbdiwQc2bN1fz5s0lSSNGjFDz5s11//33S5Lmz5+v/v37a+TIkWrUqJG6d++uTz75JM/ompmZmVqwYIEGDhyY51y0XVRcBwAAAAAAAADElaefflqtW7dWy5YtNWHCBJ199tlKSEjQZ599pm+++UYtWrSQJHXo0EGtWrVSz5499cgjj6hRo0b63//+p2AwqJ49e6ply5Zh2ypXrpxuu+02jR49WieddJJOP/10TZ06VUeOHNGgQYNce0916tTRgAEDdNNNN+mJJ57QOeecox07dmjv3r26+uqrbS+vQYMG6tGjh2655RbNmTNHFSpU0D/+8Q+deuqp6tGjhyRp2LBh6ty5sxo2bKh9+/bpnXfeKTLBvE6dOjp06JD+/e9/65xzzlHZsmVVtmzZPNN06NBBZ599tvr27auZM2fqxIkTGjJkiNq1a2fpswYAAAAAAAAAuK99+/ZFjtIpmaNkTpw4URMnTixymoSEhDxFS5yi4joAAAAAAAAAIK7Uq1dPmzZtUocOHTR27Fidc845atmypWbNmqVRo0bpgQcekCQFAgEFg0H97W9/00033aSGDRvq2muv1Q8//KDq1atbbu/hhx9W79691a9fP5133nnaunWr3n77bVWpUsXV9zV79mz16dNHQ4YM0VlnnaVbbrklbFX5UObPn68WLVqoa9euatWqlQzDUDAYVFJSkiQpIyNDQ4cOVePGjXX55ZerUaNGevrppwtd1kUXXaTBgwfrmmuu0SmnnKKpU6cWmCYQCGj58uWqUqWK/va3v6lDhw4688wz9dprrzl+DwAAAAAAAACA4iNghEqhBwAAAAAAAAAAAAAAAAAAAAAgQlRcBwAAAAAAAAAAAAAAAAAAAAB4isR1AAAAAAAAAAAAAAAAAAAAAICnSFwHAAAAAAAAAAAAAAAAAAAAAHiKxHUAAAAAAAAAAAAAAAAAAAAAgKdIXAcAAAAAAAAAAAAAAAAAAAAAeIrEdQAAAAAAAAAAAAAAAAAAAACAp0hcBwAAAAAAAAAAAAAAAAAAAAB4isR1AAAAAAAAAAAAAAAAAAAAAICnSFwHAAAAAAAAAAAAAAAAAAAAAHiKxHUAAAAAAAAAAAAAAAAAAAAAgKdIXAcAAAAAAAAAAAAAAAAAAAAAeIrEdQAAAAAAAAAAAAAAAAAAAACAp0hcBwAAAAAAAAAAAAAAAAAAAAB4isR1AAAAAAAAAAAAAAAAAAAAAICnSFwHAAAAAAAAAAAAAAAAAAAAAHiKxHUAAAAAAAAAAAAAAAAAAAAAgKdK+R1AtGVmZup///ufKlSooEAg4Hc4AAAAAAAAAAAAAAAAAAAAABCXDMPQwYMHVatWLSUkhK6pXuIS1//3v/+pdu3afocBAAAAAAAAAAAAAAAAAAAAAMXCrl27dNppp4WcpsQlrleoUEGS+eFUrFjR52gQy9LT07V69Wp16tRJSUlJfocDu/bvl15/XSpTRkpJ8TsaAACKrXRJq8uUUaejR0WPCQAAoHD0mQAAAMKjzwQgZqSlSUePSlddJVWq5Hc0AJAH+UwAgFh04MAB1a5dOztHO5QSl7geCAQkSRUrViRxHSGlp6erbNmyqlixIh29eGQYZtJ6lSpSuXJ+RwMAQLGVbhgqaxiqWK6ckv7sawMAACAv+kwAAADh0WcCEDMOHzb/rVjRfABADCGfCQAQywIWfs8nRCEOAAAAAAAAAAAAAAAAAAAAAEAJ5mvi+uzZs3X22WdnVz9v1aqVVq1aVeT0a9euVSAQKPD45ptvohg1AAAAAAAAAAAAAAAAAAAAAMCOUn42ftppp+nhhx9W/fr1JUkvvPCCevTooU2bNqlp06ZFzvftt9+qYq7hmE455RTPYwUAAAAAAAAAAAAAAAAAAAAAOONr4nq3bt3y/D158mTNnj1bH3/8ccjE9WrVqqly5coeRwcAAAAAAAAAAAAAAAAAAADEt4yMDKWnp/sdBuJUYmKiSpUqpUAgEPGyfE1czy0jI0Ovv/66Dh8+rFatWoWctnnz5jp27JiaNGmie++9VxdffHGUogQAAAAAAAAAAAAAAAAAAADiw6FDh/Tjjz/KMAy/Q0EcK1u2rGrWrKnk5OSIluN74vrmzZvVqlUrHTt2TOXLl9eyZcvUpEmTQqetWbOmnn32WbVo0UJpaWlauHChLr30Uq1du1Z/+9vfCp0nLS1NaWlp2X8fOHBAkpSens7dIwgpa/1gPYlTJ05IWXf3cMAFAMAz6X8eZ9M53gIAABSJPhMAAEB49JkAxJRAwLzmTL4AgBhDPhMAuzIyMrRr1y6VK1dOVatWdaViNkoWwzCUnp6uX375Rd9//73q1q2rhISEPNPYOS4FDJ9voTh+/Lh27typP/74Q0uWLNHcuXO1bt26IpPX8+vWrZsCgYBWrFhR6OsTJkzQxIkTCzz/yiuvqGzZshHFDgAAAAAAAAAAAAAAAAAAAMSiUqVKqUaNGjrttNOUkpLidziIY2lpafrxxx+1e/duZWRk5HntyJEjuv7667V//35VrFgx5HJ8T1zPr0OHDqpXr57mzJljafrJkyfrpZde0tdff13o64VVXK9du7Z+/fXXsB8OSrb09HStWbNGHTt2VFJSkt/hwK4DB6TXX5cqV5a4SQUAAM+kG4bWSOooKYk7swEAAApFnwkAACA8+kwAYsaRI9Iff0hXXSWRVwIgxpDPBMCuY8eOadeuXapTp45Kly7tdziIY8eOHdMPP/yg2rVrF1iXDhw4oJNPPtlS4nopL4N0wjCMPInm4WzatEk1a9Ys8vWUlJRC7xJJSkri4A1LWFfiVKlSUtZ9OZzcBADAW4ahpECAC4oAAACh0GcCAAAIjz4TgFhhGOY1Z3IFAMQo8pkAWJWRkaFAIKCEhAQlJCT4HQ7iWEJCggKBQKHHIDvHJF/XwnHjxun999/XDz/8oM2bN+uee+7R2rVr1bdvX0nS2LFj1b9//+zpZ86cqeXLl2vLli368ssvNXbsWC1ZskS33367X28BAAAAAAAAAAAAAAAAAAAAgEvat2+vYcOGhZymTp06mjlzpuexDBw4UD179vS8nXAmTJigc8891+8wIuZr4vrPP/+sfv36qVGjRrr00kv1ySef6K233lLHjh0lSbt379bOnTuzpz9+/LhGjRqls88+W23bttUHH3yglStXqlevXn69BQAAAAAAAAAAAAAAAAAAAABR9Nlnn+nWW2+1PP1f//pX3XbbbXmemz17tgKBgObNm5fn+UGDBumiiy6SJD3++ONasGCB4zinT5+uSpUq6ciRIwVeO3bsmCpXrqzHHnvM8fLjTSk/G8//ReeX/4seM2aMxowZ42FEAAAAAAAAAAAAAAAAAAAAAGLZKaecYmv6iy++WMuWLcvz3Nq1a1W7dm29++67GjRoUJ7nr732WklSpUqVIoqzf//+Gjt2rJYsWaJ+/frleW3JkiU6cuRIgeeLM18rrgMAAAAAAAAAAAAAAAAAAABAbidOnNDtt9+uypUrq2rVqrr33ntlGEb263Xq1NHMmTOz//7mm2/Upk0blS5dWk2aNNG//vUvBQIBLV++XJKZuP7tt99q9+7d2fOsW7dOY8eO1dq1a7Of27Vrl77//ntdfPHFkqSBAweqZ8+e2a8fPHhQffv2Vbly5VSzZk3NmDFD7du317Bhwwp9H6eccoq6deum559/vsBrzz//vLp3765TTjlFd999txo2bKiyZcvqzDPP1H333af09PQiP5/C2uzZs6cGDhyY/ffx48c1ZswYnXrqqSpXrpwuvPDCPO91x44d6tatm6pUqaJy5cqpadOmCgaDRbbpBl8rrgMAAAAAAAAAAAAAAAAAAADwnmEYOpJ+xJe2yyaVVSAQsDz9Cy+8oEGDBumTTz7Rhg0bdOutt+qMM87QLbfcUmDazMxM9ezZU6effro++eQTHTx4UCNHjswzTevWrZWUlKS1a9fquuuu01dffaWjR4/qpptu0t13360tW7aoQYMGevfdd5WcnKyLLrqo0LhGjBihDz/8UCtWrFD16tV1//336/PPP9e5555b5HsZNGiQunbtqu3bt6tu3bqSpB9++EHvvvuuVq5cKUmqUKGCFixYoFq1amnz5s265ZZbVKFCBY0ZM8byZ5bfjTfeqB9++EGLFi1SrVq1tGzZMl1++eXavHmzGjRooKFDh+r48eN67733VK5cOX311VcqX7684/asIHEdAAAAAAAAAAAAAAAA8MD/Dv5PX+z5Qp3rd7aVqAUAAOCFI+lHVH6Kt4nJRTk09pDKJZezPH3t2rU1Y8YMBQIBNWrUSJs3b9aMGTMKTVxfvXq1tm3bprVr16pGjRqSpMmTJ6tjx47Z05QrV07nn39+duL62rVr1aZNG6WkpKh169Zau3atGjRooLVr1+rCCy9U2bJlC7Rz8OBBvfDCC3rllVd06aWXSpLmz5+vWrVqhXwvl112mWrVqqUFCxZo4sSJeebr1KmTJOnee+/Nnr5OnToaOXKkXnvtNceJ69u2bdOrr76qH3/8MTu+UaNG6a233tL8+fP10EMPaefOnerdu7eaNWsmSTrzzDMdtWVHguctAAAAAAAAAAAAAAAAACVQ7Rm1dcUrV2jxV4v9DgUAACCu/PWvf81z41+rVq20ZcsWZWRkFJj222+/Ve3atbOT1iXpggsuKDDdxRdfrLVr10qS1q5dq/bt20uS2rVrl+f5Sy65pNCYvv/+e6Wnp+dZdqVKldSoUaOQ7yUxMVEDBgzQggULlJmZKcMw9MILL2jgwIFKTEyUJC1evFht2rRRjRo1VL58ed13333auXNnyOWG8vnnn8swDDVs2FDly5fPfqxbt07btm2TJN1555168MEH1bp1a40fP17//e9/HbdnFRXXAQAAAAAAAAAAAAAAAA9kGpmSpH99/y9d1fQqn6MBAAAlXdmksjo09pBvbXvFMAxLo9tcfPHFmjx5sn766SetW7dOo0aNkmQmrs+aNUs7d+7U9u3bdfHFFxfZjqQCbWU9H8pNN92kKVOm6J133pEk7dy5UzfeeKMk6eOPP9a1116riRMn6rLLLlOlSpW0aNEiTZ8+vcjlJSQkFGg3PT09+/+ZmZlKTEzUxo0bs5Pjs5Qvb1bdv/nmm3XZZZdp5cqVWr16taZMmaLp06frjjvuCPt+nCJxHQAAAAAAAAAAAAAAAAAAACjmAoGAyiWX8zsMSz7++OMCfzdo0KBAErYknXXWWdq5c6d+/vlnVa9eXZL02WefFZjuoosuUkpKip5++mkdPXpULVq0kCS1bNlS+/fv15w5c1S6dGn99a9/LTSmevXqKSkpSZ9++qlq164tSTpw4IC2bNmidu3ahXw/9erVU7t27TR//nwZhqH27durXr16kqQPP/xQZ5xxhu65557s6Xfs2BFyeaeccop2796d/XdGRob+7//+Lzvpvnnz5srIyNDevXvVtm3bIpdTu3ZtDR48WIMHD9bYsWP13HPPkbgOAAAAAAAAAAAAAAAAAAAAoGTYtWuXRowYob///e/6/PPPNWvWrCIrkHfs2FH16tXTgAEDNHXqVB08eDA7CTx3dfQyZcrowgsv1KxZs9S6devsJPikpCS1atVKs2bNyk5uL0yFChU0YMAAjR49WieddJKqVaum8ePHKyEhwVLF90GDBumWW26RJM2dOzf7+fr162vnzp1atGiRzj//fK1cuVLLli0LuaxLLrlEI0aM0MqVK1WvXj3NmDFDf/zxR/brDRs2VN++fdW/f39Nnz5dzZs316+//qp33nlHzZo1U5cuXTRs2DB17txZDRs21L59+/TOO++ocePGYd9HJBI8XToAAAAAAAAAAAAAAAAAAAAA2NC/f38dPXpUF1xwgYYOHao77rhDt956a6HTJiYmavny5Tp06JDOP/983Xzzzbr33nslSaVLl84z7cUXX6yDBw+qffv2eZ5v166dDh48mF2xvCiPPfaYWrVqpa5du6pDhw5q3bq1GjduXKCdwvTu3VspKSlKSUlRr169sp/v0aOHhg8frttvv13nnnuu1q9fr/vuuy/ksm666SYNGDBA/fv3V7t27VS3bt0Csc+fP1/9+/fXyJEj1ahRI3Xv3l2ffPJJdrX4jIwMDR06VI0bN9bll1+uRo0a6emnnw77PiIRMAzD8LSFGHPgwAFVqlRJ+/fvV8WKFf0OBzEsPT1dwWBQXbp0UVJSkt/hwK79+6VXXpGqVJHKxcfQJgAAxKN0w1DQMNQlEFCShbuHAQAASiL6TAAAAOHRZwIQMw4flvbtk66/XqpUKeLFBSaa+7Rbz7tVc7rNiXh5AEo28pkA2HXs2DFt375ddevWtZRYXZx8+OGHatOmjbZu3ap69ep51s7hw4d16qmnavr06Ro0aJBn7fgt1LpkJze7lJdBAgAAAAAAAAAAAAAAACXdnsN7/A4BAACgWFu2bJnKly+vBg0aaOvWrbrrrrvUunVr15PWN23apG+++UYXXHCB9u/fr0mTJkkyq6YjPBLXAQAAAAAAAAAAAAAAAA9VKV3F7xAAAACKtYMHD2rMmDHatWuXTj75ZHXo0EHTp0/3pK1HH31U3377rZKTk9WiRQu9//77Ovnkkz1pq7ghcR0AAAAAAAAAAAAAAAAAAABA3Orfv7/69+/veTvNmzfXxo0bPW+nuErwOwAAAAAAAAAAAAAAAAAAAAAAQPFG4joAAAAAAAAAAAAAAADgIUOG3yEAAAAAviNxHQAAAAAAAAAAAAAAAPCQYZC4DgAAAJC4DgAAAAAAAAAAAAAAAAAAAADwFInrAAAAAAAAAAAAAAAAgIcMUXEdAAAAIHEdAAAAAAAAAAAAAAAAAAAAAOCpUn4HAAAAAAAAAAAAAAAAABRnhkHFdQAAEEOOHpWOH49ee8nJUpky0WsPMYvEdQAAAAAAAAAAAAAAAMBDhkhcBwAAMeLoUemNN6R9+6LXZpUqUo8etpLX9+zZoylTpmjlypX68ccfValSJTVo0EA33HCD+vfvr7Jly3oYcHjt27fXueeeq5kzZ/oaR7whcR0AAAAAAAAAAAAAAABw2dH0o9n/zzQyfYwEAAAgl+PHzaT1MmWk0qW9b+/YMbO948ctJ65///33at26tSpXrqyHHnpIzZo104kTJ/Tdd9/p+eefV61atdS9e3ePA4cXEvwOAAAAAAAAAAAAAAAAAChutv6+Nfv/GZkZPkYCAABQiNKlpXLlvH84SI4fMmSISpUqpQ0bNujqq69W48aN1axZM/Xu3VsrV65Ut27dsqfdv3+/br31VlWrVk0VK1bUJZdcov/85z/Zr0+YMEHnnnuuFi5cqDp16qhSpUq69tprdfDgwexpDMPQ1KlTdeaZZ6pMmTI655xztHjx4og+3iVLlqhp06ZKSUlRnTp1NH369Dyvp6WlacyYMapdu7ZSUlLUoEEDzZs3T5K0YMECVa5cOc/0y5cvVyAQyP77P//5jy6++GJVqFBBFStWVIsWLbRhw4aIYo4GKq4DAAAAAAAAAAAAAAAALsudWGTI8DESAACA+PHbb79p9erVeuihh1SuXLlCp8nqZxmGoSuuuEInnXSSgsGgKlWqpDlz5ujSSy/Vd999p5NOOkmStG3bNi1fvlypqanat2+frr76aj388MOaPHmyJOnee+/V0qVLNXv2bDVo0EDvvfeebrjhBp1yyilq166d7fewceNGXX311ZowYYKuueYarV+/XkOGDFHVqlU1cOBASVL//v310Ucf6YknntA555yj7du369dff7XcRt++fdW8eXPNnj1biYmJ+uKLL5SUlGQ71mgjcR0AAAAAAAAAAAAAAABwWUA5ievv73jfx0gAAADix9atW2UYhho1apTn+ZNPPlnHjh2TJA0dOlSPPPKI3n33XW3evFl79+5VSkqKJOnRRx/V8uXLtXjxYt16662SpMzMTC1YsEAVKlSQJPXr10///ve/NXnyZB0+fFiPPfaY3nnnHbVq1UqSdOaZZ+qDDz7QnDlzHCWuP/bYY7r00kt13333SZIaNmyor776StOmTdPAgQP13Xff6Z///KfWrFmjDh06ZLdpx86dOzV69GidddZZkqQGDRrYjtMPJK4DAAAAAAAAAAAAAAAALstdcR0AAAD25O9Lffrpp8rMzFTfvn2VlpYmyaxsfujQIVWtWjXPtEePHtW2bduy/65Tp0520rok1axZU3v37pUkffXVVzp27Jg6duyYZxnHjx9X8+bNHcX+9ddfq0ePHnmea926tWbOnKmMjAx98cUXSkxMdJQUn2XEiBG6+eabtXDhQnXo0EFXXXWV6tWr53h50ULiOgAAAAAAAAAAAAAAAOAhktgBAACsqV+/vgKBgL755ps8z2dVJC9Tpkz2c5mZmapZs6bWrl1bYDmVK1fO/n9SUlKe1wKBgDIzM7OXIUkrV67Uqaeemme6rCrudhmGUaD/ZxhG9v9zv4fCJCQk5JlektLT0/P8PWHCBF1//fVauXKlVq1apfHjx2vRokW68sorHcUcLQl+BwAAAAAAAAAAAAAAAAAAAAAAVatWVceOHfXkk0/q8OHDIac977zztGfPHpUqVUr169fP8zj55JMttdekSROlpKRo586dBZZRu3ZtR++hSZMm+uCDD/I8t379ejVs2FCJiYlq1qyZMjMztW7dukLnP+WUU3Tw4ME87/+LL74oMF3Dhg01fPhwrV69Wr169dL8+fMdxRtNVFwHAAAAAAAAAAAAAAAAXJaUkFPZc8+hPT5GAgAAEF+efvpptW7dWi1bttSECRN09tlnKyEhQZ999pm++eYbtWjRQpLUoUMHtWrVSj179tQjjzyiRo0a6X//+5+CwaB69uypli1bhm2rQoUKGjVqlIYPH67MzEy1adNGBw4c0Pr161W+fHkNGDCgyHl/+eWXAgnlNWrU0MiRI3X++efrgQce0DXXXKOPPvpITz75pJ5++mlJUp06dTRgwADddNNNeuKJJ3TOOedox44d2rt3r66++mpdeOGFKlu2rMaNG6c77rhDn376qRYsWJDdxtGjRzV69Gj16dNHdevW1Y8//qjPPvtMvXv3tv9hRxmJ6wAAAAAAAAAAAAAAAIDLEhMS/Q4BAACgaMeOxWw79erV06ZNm/TQQw9p7Nix+vHHH5WSkqImTZpo1KhRGjJkiCQpEAgoGAzqnnvu0U033aRffvlFNWrU0N/+9jdVr17dcnsPPPCAqlWrpilTpuj7779X5cqVdd5552ncuHEh53vllVf0yiuv5Hlu/PjxmjBhgv75z3/q/vvv1wMPPKCaNWtq0qRJGjhwYPZ0s2fP1rhx4zRkyBD99ttvOv3007PbO+mkk/TSSy9p9OjRevbZZ9WhQwdNmDBBt956qyQpMTFRv/32m/r376+ff/5ZJ598snr16qWJEydafs9+CRiGYfgdRDQdOHBAlSpV0v79+1WxYkW/w0EMS09PVzAYVJcuXZSUlBR+BsSW/fulV16RqlSRypXzOxoAAIqtdMNQ0DDUJRBQUiDgdzgAAAAxiT4TAABAePSZAMSMw4elffuk66+XKlWKaFFbf9+qBrMaZP9tjC9RKToAPEA+EwC7jh07pu3bt6tu3boqXbq0+eTRo9Ibb5h9nmipUkXq0UMqUyZ6bcJVha5Lf7KTm03FdQAAAAAAAAAAAAAAAMBlJayWJAAAiBdlyphJ5MePR6/N5GSS1iGJxHUAAAAAAAAAAAAAAADAdZlGpt8hAAAAFK5MGRLJ4YsEvwMAAAAAAAAAAAAAAAAAihtDORXXG5/c2MdIAAAAgNhA4joAAAAAAAAAAAAAAADgstwV18smlfUxEgAAACA2kLgOAAAAAAAAAAAAAAAAuMwwciqud2/U3cdIAAAAgNhA4joAAAAAAAAAAAAAAADgstwV1xMDiT5GAgAASrrcN9QBTri1DpG4DgAAAAAAAAAAAAAAALjMkFHo/wEAAKIlMdG8ee748eM+R4J4d+TIEUlSUlJSRMsp5UYwAAAAAAAAAAAAAAAAAHLkrrgOAADgh1KlSqls2bL65ZdflJSUpIQE6l3DHsMwdOTIEe3du1eVK1fOvhnCKRLXAQAAAAAAAAAAAAAAAJcZhlHo/wEAAKIlEAioZs2a2r59u3bs2OF3OIhjlStXVo0aNSJeDonrAAAAAAAAAAAAAAAAgMuouA4AAGJBcnKyGjRooOPHj/sdCuJUUlJSxJXWs5C4DgAAAAAAAAAAAAAAALgsd+K6ISquAwAA/yQkJKh06dJ+hwEowe8AAAAAAAAAAAAAAAAAgOKGZHUAAAAgLxLXAQAAAAAAAAAAAAAAAJflqbhukMQOAAAAkLgOAAAAAAAAAAAAAAAAuIxkdQAAACAvEtcBAAAAAAAAAAAAAAAAl+WpuC6S2AEAAABfE9dnz56ts88+WxUrVlTFihXVqlUrrVq1KuQ869atU4sWLVS6dGmdeeaZeuaZZ6IULQAAAAAAAAAAAAAAAGBN7mR1qq8DAAAAPieun3baaXr44Ye1YcMGbdiwQZdccol69OihL7/8stDpt2/fri5duqht27batGmTxo0bpzvvvFNLliyJcuQAAAAAAAAAAAAAAABA0XJXXAcAAAAglfKz8W7duuX5e/LkyZo9e7Y+/vhjNW3atMD0zzzzjE4//XTNnDlTktS4cWNt2LBBjz76qHr37h2NkAEAAAAAAAAAAAAAAICwcldZz119HQAAACipfE1czy0jI0Ovv/66Dh8+rFatWhU6zUcffaROnTrlee6yyy7TvHnzlJ6erqSkpALzpKWlKS0tLfvvAwcOSJLS09OVnp7u4jtAcZO1frCexKkTJ6RAwPw/Q64BAOCZ9D+Ps+kcbwEAAIpEnwkAACA8+kwAYkogYF5zjjBf4Hj68ez/Z2RkkH8AIGLkMwEAYpGd45LvieubN29Wq1atdOzYMZUvX17Lli1TkyZNCp12z549ql69ep7nqlevrhMnTujXX39VzZo1C8wzZcoUTZw4scDzq1evVtmyZd15EyjW1qxZ43cIcCprn8AJTgAAPLdG4pgLAAAQBn0mAACA8OgzAfBdmTLm44MPIl7Ufw/+N/v/W7ZuUfBwMOJlAoBEPhMAILYcOXLE8rS+J643atRIX3zxhf744w8tWbJEAwYM0Lp164pMXg9kVVD+U9awSvmfzzJ27FiNGDEi++8DBw6odu3a6tSpkypWrOjSu0BxlJ6erjVr1qhjx46FVvNHjDtwQHr9dalyZYmbVAAA8Ey6YWiNpI6SkorokwMAAJR09JkAAADCo88EIGYcOSL98Yd01VVShHklWz/dKm0z//9V5lfq0qVL5PEBKNHIZwIAxKIDBw5Yntb3xPXk5GTVr19fktSyZUt99tlnevzxxzVnzpwC09aoUUN79uzJ89zevXtVqlQpVa1atdDlp6SkKCUlpcDzSUlJHLxhCetKnCpVKqcaByc3AQDwlmEoKRDggiIAAEAo9JkAAADCo88EIFYYhnnNOcJcgVH/GpX9/y9/+ZLcAwCuIZ8JABBL7ByTEjyMwxHDMJSWllboa61atSowzMnq1avVsmVLDsQAAAAAAAAAAAAAAAAAAAAAEKN8TVwfN26c3n//ff3www/avHmz7rnnHq1du1Z9+/aVJI0dO1b9+/fPnn7w4MHasWOHRowYoa+//lrPP/+85s2bp1GjRhXVBAAAAAAAAAAAAAAAAAAAAADAZ6X8bPznn39Wv379tHv3blWqVElnn3223nrrLXXs2FGStHv3bu3cuTN7+rp16yoYDGr48OF66qmnVKtWLT3xxBPq3bu3X28BAAAAAAAAAAAAAAAAAAAAABCGr4nr8+bNC/n6ggULCjzXrl07ff755x5FBAAAAAAAAAAAAAAAAAAAAABwW4LfAQAAAAAAAAAAAAAAAAAAAAAAijcS1wEAAAAAAAAAAAAAAACXnXXyWX6HAAAAAMQUEtcBAAAAAAAAAAAAAAAAlw09f2j2/7s06OJjJAAAAEBsIHEdAAAAAAAAAAAAAAAAcFmphFLZ/69SuoqPkQAAAACxgcR1AAAAAAAAAAAAAAAAxIRf0vdr34lDfofhCsMwsv9/7MQxHyMBAAAAYkOp8JMAAAAAAAAAAAAAAAAA3jqSmaZGX92msgkp2vWX5xUIBPwOyTVLvl7idwgAAACA70hcBwAAAAAAAAAAAAAAgO92pO3VvoxD2pdxSOnGCSUHkvwOCQAAAICLEvwOAAAAAAAAAAAAAAAAAEhOyKm/eMxI9zESdxgy/A4BAAAAiCkkrgMAAAAAAAAAAAAAAMB3yYFcieuZx32MBAAAAIAXSFwHAAAAAAAAAAAAAACA73LXJ9+fccS3OAAAAAB4g8R1AAAAAAAAAAAAAAAA+C7TyMz+/76MQz5G4g7DMMJPBAAAAJQgJK4DAAAAAAAAAAAAAADAd5m5aq7/lP6bj5EAAAAA8AKJ6wAAAAAAAAAAAAAAAPCdkStx/a5dz/kYCQAAAAAvkLgOAAAAAAAAAAAAAAAA32UaOYnru9J/9TESAAAAAF4gcR0AAAAAAAAAAAAAAAC+y1Rm9v/blm/iYyTuyF1BXpLSTqT5FAkAAAAQG0hcBwAAAAAAAAAAAAAAgO9yV1wfeNKlPkbijeMZx/0OAQAAAPAViesAAAAAAAAAAAAAAADwXe4K5QmB4pfS8tn/PvM7BAAAAMBXxa+XDwAAAAAAAAAAAAAAgLiTmStxPXcSe7wyjLzv4cu9X/oUCQAAABAbSFwHAAAAAAAAAAAAAACA7zKNTL9D8NSiLxf5HQIAAADgKxLXAQAAAAAAAAAAAAAA4Lv4r7Ee2vpd6/0OAQAAAPAViesAAAAAAAAAAAAAAADwXaZyKq4bRvynsRvFPhUfAAAAsIfEdQAAAAAAAAAAAAAAAPguk0RvAAAAoFgjcR0AAAAAAAAAAAAAAAC+yywGVdYBAAAAFI3EdQAAAAAAAAAAAAAAAPjOyFVx3SgG1dcNEvEBAACAPEhcBwAAAAAAAAAAAAAAAAAAAAB4isR1AAAAAAAAAAAAAAAA+K44VFkHAAAAUDQS1wEAAAAAAAAAAAAAABBTikMKO4n4AAAAQF4krgMAAAAAAAAAAAAAAMB3JHoDAAAAxRuJ6wAAAAAAAAAAAAAAAAAAAAAAT5G4DgAAAAAAAAAAAAAAAN8ZuQquU30dAAAAKH5IXAcAAAAAAAAAAAAAAIDviluyumEUr/cDAAAARIrEdQAAAAAAAAAAAAAAAPjujf2fZP+/uCWxAwAAACBxHQAAAAAAAAAAAAAAADFg1f6NfocAAAAAwEMkrgMAAAAAAAAAAAAAAMB3CYHilcZC1XgAAAAgr+LV4wcAAAAAAAAAAAAAAEBcyjAys/9vkPMNAAAAFDskrgMAAAAAAAAAAAAAAMB35RNL+x0CAAAAAA+RuA4AAAAAAAAAAAAAAADf3Vy1o98huMqgbDwAAACQB4nrAAAAAAAAAAAAAAAA8F3FxLLZ/zdE0jcAAABQ3JC4DgAAAAAAAAAAAAAAAN+Rqg4AAAAUbySuAwAAAAAAAAAAAAAAwHeGUbxS16kaDwAAAORF4joAAAAAAAAAAAAAAAB8lzvRm6RvAAAAoPghcR0AAAAAAAAAAAAAAAC+K67J6hWSK0iSzqt5ns+RAAAAAP4icR0AAAAAAAAAAAAAAAC+yyxmieuGYb6f5MRkSVJCgDQdAAAAlGz0iAEAAAAAAAAAAAAAAOC7rERvScUqhT0rYT33+wMAAABKIl8T16dMmaLzzz9fFSpUULVq1dSzZ099++23IedZu3atAoFAgcc333wTpagBAAAAAAAAAAAAAADgtuKa1p2VuJ5pZPocCQAAAOAvXxPX161bp6FDh+rjjz/WmjVrdOLECXXq1EmHDx8OO++3336r3bt3Zz8aNGgQhYgBAAAAAAAAAAAAAADgBUNGof+PV1nvIRAISCJxHQAAACjlZ+NvvfVWnr/nz5+vatWqaePGjfrb3/4Wct5q1aqpcuXKHkYHAAAAAAAAAAAAAACAaCkOyeqFyaq4XlzfHwAAAGCVrxXX89u/f78k6aSTTgo7bfPmzVWzZk1deumlevfdd70ODQAAAAAAAAAAAAAAAB4qrmndiYFESVRcBwAAAHytuJ6bYRgaMWKE2rRpo7/85S9FTlezZk09++yzatGihdLS0rRw4UJdeumlWrt2baFV2tPS0pSWlpb994EDByRJ6enpSk9Pd/+NoNjIWj9YT+LUiRPSn8OtySiupzcAAPBf+p/H2XSOtwAAAEWizwQAABAefSYAknQiV2L3CcPwb58QCJjXnCPMF8jIyDAXJ/PadWZmJjkIACJCPhMAIBbZOS7FTOL67bffrv/+97/64IMPQk7XqFEjNWrUKPvvVq1aadeuXXr00UcLTVyfMmWKJk6cWOD51atXq2zZspEHjmJvzZo1focAp2rWNP/lBCcAAJ5bI3HMBQAACIM+EwAAQHj0mYCS7YtcietfGoaCfuwPypQxH2HyV6z45udvJEnHjh2TJB04eEDBYDDi5QIA+UwAgFhy5MgRy9PGROL6HXfcoRUrVui9997TaaedZnv+v/71r3rppZcKfW3s2LEaMWJE9t8HDhxQ7dq11alTJ1WsWNFxzCj+0tPTtWbNGnXs2FFJSUl+hwO7DhyQXn9dqlxZ4iYVAAA8k24YWiOpo6SkrNFOAAAAkAd9JgAAgPDoMwGQpD25/t80EFAXP/YHR45If/whXXWVFGFeyZcffSntlsqXLa+9x/eqXPly6tKliztxAiiRyGcCAMSiAwcOWJ7W18R1wzB0xx13aNmyZVq7dq3q1q3raDmbNm1SzazKyvmkpKQoJSWlwPNJSUkcvGEJ60qcKlUqpxoHJzcBAPCW8f/s3XecHHX9x/H37O61lEvvBQKh9967CZAfTUARC2jsgggRUZQiNlBRUEGUriKIEJEWMQEJvaVBEkhCer0kl1yu396W+f2xO3Ozt+V2b8vs7r2ePng4Mzs7+7nN7t7ed97z+ZqqMAxOKAIAAKTCdyYAAICe8Z0J6PM8jre/Ry5eyGKakXPOWWYFvB6vJMnj8UQOK5P8AYCcIM8EACgmmfxOcjW4fsUVV+jRRx/V008/rYEDB6quLnLt7KBBg1RTUyMp0jF906ZN+utf/ypJuvPOO7X77rvrgAMOUGdnpx555BHNnDlTM2fOdO3nAAAAAAAAAAAAAAAAQHZMmW6XkFPWz+MxIsH1FTtWuFkOAAAA4DpXg+v33HOPJOnUU0+N2f7QQw/pi1/8oiRpy5YtWr9+vX1bZ2enrr32Wm3atEk1NTU64IAD9PzzzzOVEgAAAAAAAAAAAAAAQAkzyyu3busMdUqSJtROcLkSAAAAwF2uBtfNNP7iePjhh2PWr7vuOl133XV5qggAAAAAAAAAAAAAAABucHZcL6fu6wMqB0jq6rwOAAAA9FV8IwYAAAAAAAAAAAAAAIDrwmUUVpe6GjpagfWwGXazHAAAAMB1BNcBAAAAAAAAAAAAAADgupZQu9sl5IUhQ1J5dZEHEpm3eZ7+sugvbpcBAACKmM/tAgAAAAAAAAAAAAAAAIDWsN9eLqeQt2FEg+tm+fxMQCJH3XeUJGnCoAk6fdLpLlcDAACKER3XAQAAAAAAAAAAAAAA4Lr+niq3S8gpK3zvMTwx60C5W1a/zO0SAABAkSK4DgAAAAAAAAAAAAAAANd9f/Nf7OVyCnkbouM6+hbrYg0AAIDu+JYAAAAAAAAAAAAAAAAA5Akd19HXWBdrAAAAdEdwHQAAAAAAAAAAAAAAAMgxq8O6YURCvGEz7GY5QMH85q3fuF0CAAAoUgTXAQAAAAAAAAAAAAAA4LoLBh1rL5tl0Jzc6rDuNbyR9XL4oYA0fLzzY7dLAAAARYrgOgAAAAAAAAAAAAAAAFwVNsP6d+PbbpeRU1ZQ3WNE4jlWkB0oR52hTrdLAAAAJYDgOgAAAAAAAAAAAAAAAFy1Ldjodgk5FzbDkiSvh47rKH/vbHzH7RIAAEAJILgOAAAAAAAAAAAAAAAAV1khb0s5dCe3g+tGNLheBj8TAAAAkA2C6wAAAAAAAAAAAAAAAHBVuAxD3VZQ3WNE4jl0XEc5MwzD7RIAAEAJILgOAAAAAAAAAAAAAAAAV9UHm9wuIeesjus+jy9mHQAAAOirCK4DAAAAAAAAAAAAAADAVd/b9FDMulkGHditoLrX45VUHj8TkAwzCgAAgHQQXAcAAAAAAAAAAAAAAICr1nRudbuEnLOCvB7DE7MOlCPnhRnn7XOei5UAAIBiRnAdAAAAAAAAAAAAAAAAyDG747pBx3X0LaFwyO0SAABAkSK4DgAAAAAAAAAAAAAAAFd5ukVYyiHibQfXPdHgOh3X0UcEwgG3SwAAAEWK4DoAAAAAAAAAAAAAAABc5ZHhdgk5Z3VY9xiemHWgHFV4KuzlSm+li5UAAIBiRnAdAAAAyJGQGdKittV2BxUAAAAAAAAAAJAeK9xtKYeQt91x3aDjOsqfM6zer6Kfi5UAAIBiRnAdAAAAyJHvbLxPhy27Wj/c/De3SwEAAAAAAAAAoKSM9A1yu4Scs4LqXk8kuE7jG5Qz5+t76balLlYCAACKGcF1AAAAIEfu3j5LkvTLrTNdrgQAAAAAAAAAgNLyycHHul1CzsV1XC+DLvJAMiEzZC/vNWwvFysBAADFjOA6AAAAAAAAAAAAAAAAXOXtFmGxupWXMju4Hu24Xg4/E5BMs7/ZXg6EAi5WAgAAihnBdQAAAAAAAAAAAAAAALgqXIbdyK0O655oPIeO6yhnFd4KezkYDrpYCQAAKGYE1wEAAAAAAAAAAAAAAOCql5rfd7uEnKPjOvqSTz/xaXs5EKbjOgAASIzgOgAAAAAAAAAAAAAAAFz1TOO7MevlEPG2g+tGNLheFj8VkNj2tu32Mh3XAQBAMgTXAQAAAAAAAAAAAAAAgByzOqxbHdetIDtQ7l5d96rbJQAAgCKVcXD9hRde0Ouvv26v33333Tr00EP12c9+Vg0NDTktDgAAAAAAAAAAAAAAAChF3TuuAwAAAH1dxsH1733ve2pqapIkLV68WN/97nc1bdo0rV69WjNmzMh5gQAAAAAAAAAAAAAAAOhbTJlul5A1O7ju6QquW13YgXLC6xoAAKTLl+kd1qxZo/3331+SNHPmTJ1zzjn6xS9+oQULFmjatGk5LxAAAAAAAAAAAAAAAAAoNVb43mN4YrYZMtwqCciLcrjQBAAAFEbGHdcrKyvV1tYmSXrxxRc1depUSdLQoUPtTuwAAAAAAAAAAAAAAABAX2Z3XDfouI7y1v117XzNAwAAOGXccf3EE0/UjBkzdMIJJ+jdd9/V448/LklasWKFxo8fn/MCAQAAAAAAAAAAAAAA0LeUQwdnO7jucQTXy+DnArqzXuuW8bVkyAAAQGIZd1y/66675PP59OSTT+qee+7RuHHjJEn/+c9/dNZZZ+W8QAAAAAAAAAAAAAAAAKDUWCF1Z/fp7gFfoBx0vyCDCzQAAEAyGXdcnzhxop577rm47XfccUdOCgIAAAAAAAAAAAAAAEDfVg7B10Qd15dsW6LDxxzuVklAXnS/IIMLNAAAQDIZd1yXpFWrVumGG27QpZdeqm3btkmSXnjhBS1dujSnxQEAAAAAAAAAAAAAAKB8Bc2QtgYadGS/yW6XknOmGQnfe4yueM5bG95yqxwgb6zXuqUj2OFSJQAAoNhlHFx/5ZVXdNBBB+mdd97Rv/71L7W0tEiSPvjgA9188805LxAAAAAAAAAAAAAAAADl6YTl39foxZer0wy6XUrOWV2nncH15s5mt8oB8qb7DAn1bfUuVQIAAIpdxsH1H/zgB/rZz36mOXPmqLKy0t5+2mmn6a23uCoUAAAAAAAAAAAAAAAA6Xm3bYUk6YP2tTHbuzVwLklWcN36f0latXOVW+UAeeN8jUvSiH4jXKoEAAAUu4yD64sXL9YnP/nJuO0jRozQjh07clIUAAAAUGrea/3Y7RIAAAAAAAAAAEAR6d6FWooP+ALlwOx2pUnIDLlUCQAAKHYZB9cHDx6sLVu2xG1fuHChxo0bl5OiAAAAgFJz2do73C4BAAAAAAAAAAAUESuk7uw+PbzfcLfKAfKm+wUZoTDBdQAAkFjGwfXPfvaz+v73v6+6ujoZhqFwOKw33nhD1157rS677LJ81AgAAAAUvWX+jfbywTW7u1cIAAAAAAAAAAAlYpU/vnGiJVG38lJjhXk9hiduG1BO1jeuj1mn4zoAAEgm4+D6z3/+c02cOFHjxo1TS0uL9t9/f5188sk6/vjjdcMNN+SjRgAAAKCkGDLcLgEAAAAAAAAAgKJ3/PLr3C4hr0wzEr53BtcPHX2oS9UA+XPVC1fFrNNxHQAAJOPL9A4VFRX6+9//rp/85CdauHChwuGwDjvsMO211175qA8AAAAAAAAAAAAAAABlaFuw0e0S8srZcf3wMYdrwZYF6l/Z3+WqgNzb1bErZp2O6wAAIJmMg+uWPffcU3vuuWcuawEAAAAAAAAAAAAAAEAfUWVUyG8GYrbtWTVaq/x1Cst0qarcsYLrhmGoX0U/SXSiRt/A6xwAACSTcXB9+vTpKW9/8MEHe10MAAAAUA4MtwsAAAAAAAAAAKAE1Hr7aXu3rutnDDxEq/x1CkVD36XMjIbvPYZHXsMriU7UKE+mGXuhCa9zAACQTMbB9YaGhpj1QCCgJUuWaNeuXTr99NNzVhgAAAAAAAAAAAAAAADKV2OoNW6bT9GAt0o/uG53XJchryf6c9GJGmXIH/LHbQubYXkMjwvVAACAYpZxcP2pp56K2xYOh/Wtb31Le+yxR06KAgAAAEqZQc91AAAAAAAAAAB6NMQ7QFuDu2K2VZRRZ3IruE7HdZS7yUMna1n9sphtoXBIHi/BdQAAECsn3w48Ho+uueYa3XHHHRnd79Zbb9VRRx2lgQMHauTIkbrgggu0fPnyHu/3yiuv6IgjjlB1dbX22GMP/elPf+pt6QAAAAAAAAAAAAAAAHBBlacibpvPDniXfsd10zQlRYPrdFxHGfN54nuncpEGAABIJGeXta1atUrBYDCj+7zyyiu64oor9Pbbb2vOnDkKBoOaOnWqWlvjp4KyrFmzRtOmTdNJJ52khQsX6oc//KGuuuoqzZw5M9sfAQAAAMgJOq4DAAAAAAAAAJBayAxpfef2uO1eIxJlCan0g+tWx3XDMOi4jrKW6NwYF2kAAIBE4i9368GMGTNi1k3T1JYtW/T888/r8ssvz+hYL7zwQsz6Qw89pJEjR2r+/Pk6+eSTE97nT3/6kyZOnKg777xTkrTffvtp3rx5uv3223XRRRdl9PgAAABAPhgGwXUAAAAAAAAAAFL5xvp7Em73RnswlkXHddFxHX1XuAzewwAAIPcyDq4vXLgwZt3j8WjEiBH6zW9+o+nTp2dVTGNjoyRp6NChSfd56623NHXq1JhtZ555ph544AEFAgFVVMROI+X3++X3++31pqYmSVIgEFAgEMiqXpQ36/XB66REBYOSFRqMTr8GAEAhBfrI7x/r5+wrPy8AAEBv8J0JAACgZ3xnAvqe+3fMTnJLJLgeMMPufSYYRuScc5Z5gVAoElIPh8IyzMj5685gJzkElJ1wOD6k3tHZoWpPtQvVlDfyTACAYpTJ76WMg+svv/xypndJi2mamjFjhk488UQdeOCBSferq6vTqFGjYraNGjVKwWBQ9fX1GjNmTMxtt956q2655Za448yePVv9+vXLTfEoa3PmzHG7BPSW9XnAACcAoMAaTWlWH/v9M0fidy4AAEAP+M4EAADQM74zAX1Da6g16W3/aVshSfpj/fOaOv6rhSqpS01N5L/XX8/6UPU76iVJixYt0vaG7ZKkOfPnaHzd+KyPDRST7du2x217fNbjmlA9wYVq+gbyTACAYtLW1pb2vhkH1/Plyiuv1AcffKDX0/jib1hdlKPM6MBF9+2SdP3112vGjBn2elNTkyZMmKCpU6eqtrY2y6pRzgKBgObMmaMpU6bEdfJHCWhqkp54Qho8WOIiFQBAgdXK1LQE303LUcA0NUfSFEkVfeRnBgAAyBTfmQAAAHrGdyagb/l3y+Kkty1qXmQvuzLW3tYm7dolfepTUpa5ktv/drvUKh1x+BF67tXnJEnHH3y8ph0zLQeFAsVjxTsr9OZLb8Zs2zxss75+ytddqqh8kWcCABSjpqamtPdNK7h+2GGHJQyFJ7JgwYK0H9zy7W9/W88884xeffVVjR+f+qrS0aNHq66uLmbbtm3b5PP5NGzYsLj9q6qqVFVVFbe9oqKCX95IC6+VEuXzdXXjYHATAOCCPnVyzTRVYRh962cGAADIFN+ZAAAAesZ3JqDP+KhjfVr7ufZ5YJqRc85ZZgVMRc5ZV/oqddS4o/RR/UfyeDxkEFB2KnyR1/SlB16qx5Y8JkkKmkFe63lEngkAUEwy+Z2UVnD9ggsu6G0tKZmmqW9/+9t66qmnNHfuXE2aNKnH+xx33HF69tlnY7bNnj1bRx55JL+MAQAAUBQqPUUzsREAAAAAAAAAAEXn5i2PJtx+6ZCT9VjDqwWuJn/CZliSZBiGPIYnZhtQTsxoY0HrdS5J7YF2t8oBAABFLK1Ezc0335yXB7/iiiv06KOP6umnn9bAgQPtTuqDBg1STU2NJOn666/Xpk2b9Ne//lWS9I1vfEN33XWXZsyYoa9+9at666239MADD+ixxx7LS40AAABApqzBOQAAAAAAAAAAkJ72Q59UlVFRVsF1q+O6x/DII4LrKF/OizQs1usfAADAydPzLvlzzz33qLGxUaeeeqrGjBlj//f444/b+2zZskXr13dNETVp0iTNmjVLc+fO1aGHHqqf/vSn+v3vf6+LLrrIjR8BAAAAiAuqhxmIAwAAAAAAAAAgI9WeypjQazmwwrwew0PHdZQ150Ua9jYaPQEAgATS6rjuFAqFdMcdd+if//yn1q9fr87Ozpjbd+7cmfax0vmC8vDDD8dtO+WUU7RgwYK0HwcAAADIp+4dIwiuAwAAAAAAAADQO5WGT51m0O0ycsLuQi2D4DrK2vrGSFPS1Q2r7W10XAcAAIlk3HH9lltu0W9/+1t9+tOfVmNjo2bMmKELL7xQHo9HP/7xj/NQIgAAAFDc4oLrDDoDAAAAAAAAAJDU+IrhSW/71OATClhJflkNHT2Gx+4mzzkElKM/vPsHSdLr61+3t9FxHQAAJJJxcP3vf/+77rvvPl177bXy+Xy69NJLdf/99+umm27S22+/nY8aAQAAgKLWfdhtYfvqhPsBAAAAAAAAAADp+P77Jr3t4iGR4HqqcHupsDuuG10d1wnzoq+g4zoAAEgk4+B6XV2dDjroIEnSgAED1NjYKEk655xz9Pzzz+e2OgAAAKAE0B0FAAAAAAAAAID0eaLdx+11R3zFG10eUzGkoDXlgxXc9RgeO7jOOQX0FVykAQAAEsk4uD5+/Hht2bJFkjR58mTNnj1bkvTee++pqqoqt9UBAAAAJYBhNwAAAAAAAAAA0rd/9YSY9Z+M+ay9bHQLtZcyK6ROcB3l7vJDLpckXXrgpfa25s5mt8oBAABFLOPg+ic/+Um99NJLkqTvfOc7uvHGG7XXXnvpsssu0/Tp03NeIAAAAFDswmKQGQAAAAAAAACAdIW6hbf3rBrtUiX5ZYXUDRkE11HWBlUNkiTtMWQPe9tjSx5zqxwAAFDEfOnueOedd+qyyy7TbbfdZm+7+OKLNX78eL355puaPHmyzjvvvLwUCQAAABQzOq4DAAAAAAAAAJC+ULeGMBcOPs6lSvLLNCNnEDyGR4YineQJrqMcBcNBSZLX8LpcCQAAKHZpd1y/5ZZbNHbsWF1yySWaPXu2/eX62GOP1YwZMwitAwAAoM+yvhsDAAAAAAAAAICede+4XumpiNvHLIO2MVZI3WN47I7r5fBzAd2FzJAkyeshuA4AAFJLO7heV1enBx54QDt27NDZZ5+t3XbbTTfffLPWrFmTz/oAAACAohdWfHcUwuwAAAAAAAAAACTWveO6k1HAOvLNCq4bhmEH1+m4jnJkdVz3eXwuVwIAAIpd2sH1qqoqfe5zn9OLL76oVatW6Utf+pL++te/aq+99tInPvEJPfbYY/L7/fmsFQAAAChKiSLqATNY8DoAAAAAAAAAACgF3Tuulyuru7qz4zrBdZQju+O6Qcd1AACQWtrBdafdd99dt9xyi9asWaMXXnhBo0aN0le+8hWNHTs21/UBAAAARS/RIHOqbjEAAAAAAAAAAPRlfWUM3Tp/QHAd5S4UjgbXPQTXAQBAar0KrsccwOORYRgyTVPhMF+uAQAA0Pck6rieaBsAAAAAAAAAAH2daZq6c9szPe43r21lAaqJ9e9db+vYdTdqVXB7To63cmfkZzBkEFxHWaPjemG8svYVHffQcVrWusztUgAA6LVeBdfXrVunW265RZMmTdLUqVO1efNm3XfffdqyZUuu6wMAAACKXsAMul0CAAAAAAAAAAAlYXNgZ8z6vlXjY9Zbw35J0gHVEwtWk+WTq3+hdzpW6kvNf8vJ8cYMGCMpEuo1DEMSwXWUJ+t1Tcf1/Pri01/U/C3z9Yf1f3C7FAAAes2X7o4dHR2aOXOmHnzwQb3yyisaM2aMLr/8ck2fPl177LFHPmsEAAAAilo4QX9106TnOgAAAAAAAAAA3fnNgL08deBhmjX5ppjbh3oHSIp0KXfLjnBrTo83oHKA3XGd8wcoR6FwpOO69TpHfqzdtVaStMm/yd1CAADIQtrB9dGjR6ujo0PnnHOOnn32WZ155pnyePiyAQAAAPy3aUHcNjNBmB0AAAAAAAAAgL7OOYvpftXj5TViOzRbgXU3x9nDyk1XdOtnMGTYgV46rqMchcxIcN1reDVu4DhtaiZYDQAAEks7eX7TTTdp48aNevLJJ3X22WcTWgcAAACitgUb47YRXAcAAAAAAAAAIF5HuKvjumHEd1W3NpXDOLvVXd0wCK6jvFmva4/h0U9O+4kk6ZTdTnGzJAAAUKTS7rg+Y8aMfNYBAAAAlKxQgkHm0h9OBwAAAAAAAAAg97YFd6W8vavjunty9dh0XEdfEQpHO657vKrwVEiSqnxVbpYEAACKFG3TAQAAgCwlmjK0HDrBAAAAAAAAAACQS9sDjXq68Z2U+9jBddO9cfZwjsb4nR3XrZ+L4DrK0SvrXpEU6bhuzaTg5nsYAAAUr7Q7rgMAAABIbKh3YNw2BuMAAAAAAAAAAIh1zPJrtaZza8p9ujquuzfOnqvHtkLqHsNjd1yn8Q3KzaamTWryN0mSvIa3KN7DAACgeNFxHQAAAMjS/tUT4rYxFAcAAAAAAAAAQKyeQuuSopFXd8fZc/XYVnDXkGEH1+m4jnKzsWmjvWwYBh3XAQBASgTXAQAAgCwFFZIk7VM1zt5GFwkAAAAAAAAAAFILmqG4bXbo1cVx9m3h5pwcxwruGgbBdZSvfhX97GV/0M/sAgAAICVfpneYMWNGwu2GYai6ulqTJ0/W+eefr6FDh2ZdHAAAAFAKQtFB5gqj6+s1g3EAAAAAAAAAAKRm2P3V47cVepzd2R262ezIzTHpuI4+oMJbYS+HzbD9Hua1DgAAEsk4uL5w4UItWLBAoVBI++yzj0zT1Mcffyyv16t9991Xf/zjH/Xd735Xr7/+uvbff/981AwAAAAUlbu3z5IkLelYZ28jtg4AAAAAAAAAQGpjKobEbbOi7IUOrluzq+aSFdyl4zrKmfXaliLvW3vWBJOzZbl2wIgDtHT7UklSk79JwyqGuVwRAACZ8/S8S6zzzz9fn/jEJ7R582bNnz9fCxYs0KZNmzRlyhRdeuml2rRpk04++WRdc801+agXAAAAKDpPN74Tt43BOAAAAAAAAAAAUgslCHHbHdcLPMzeEe7M+TGtcwUew2OHeQmuo5y1BdpcmzWhL7A+RyTpf2v/52IlAAD0XsbB9V//+tf66U9/qtraWntbbW2tfvzjH+tXv/qV+vXrp5tuuknz58/PaaEAAABAKWEwDgAAAAAAAACA1HaEmuO2uRV6/bBjQ86Paf0Mhro6rnP+AOXG2cxpUNUg++KMV9e96lZJZcvZ3d65DABAKcn4N1hjY6O2bdsWt3379u1qamqSJA0ePFidnbm/EhUAAAAoFQw8AwAAAAAAAACQmj8ciNtmNRQu9Dj7t9b/KefHtAK9htEVXKfjOsqN87367Ipn9d7m91ysprxZF/YAAFDKMg6un3/++Zo+fbqeeuopbdy4UZs2bdJTTz2lL3/5y7rgggskSe+++6723nvvXNcKAAAAFJ3uA8xdnWAAAAAAAAAAAEAq4QSj6W6Ms7eGOrSgfVXOj5uo4zrBdZQbZ8d1f8jPazyP3t/6vr1MiB0AUKp8md7hz3/+s6655hp95jOfUTAYjBzE59Pll1+uO+64Q5K077776v77789tpQAAAEARer5xXsy6IUNm9H8AAAAAAAAAACC5zww5KW5bV3C9cOPs9++YnZfjWgFeOq6jnDnfq1P2mKLNzZvt9VA4JK/H60ZZAACgSGUcXB8wYIDuu+8+3XHHHVq9erVM09See+6pAQMG2PsceuihuawRAAAAKFoNoZaYdau3gbO7BAAAAAAAAAAAiHfqwIPittnB9QKOs2/s3JGX41o/g8fw2D8XwXWUG+d7dd/h+2pL8xZ73R/yq5+nnxtllb2QGXK7BAAAesXT2zsOGDBABx98sA455JCY0DoAAADQl4QUO8DsxhSmAAAAAAAAAACUC7tBjAuPaRnvGZyT41qdqA11dVyn8Q3KjbPj+t7D9pZhdL2jnl3+rBsl9QmhMMF1AEBpSqvj+oUXXqiHH35YtbW1uvDCC1Pu+69//SsnhQEAAACloCXUYS+f0H8/vdv2sWQWdgpToC9qDLXqnw2v68LBx2mYr9btcgAAAAAAAADkiBV6LeQ4uzNoK0lHVeyWk+NaIXXD6Aqu03Ed5cZ5McbkoZPt17okfVT/kRsl9QnBcNDtEgAA6JW0Oq4PGjTI/pI+aNCglP8BAAAAfclVG++1l4d4Bzg6wRBcB/LpS2t/p6+tv1sXrr7V7VIAAAAAAAAA5FDXzKYFDK5367n+lP/9nBzXCqk7O64TXEe5sV7ToweMjrvtt2/9ttDl9BkDKge4XQIAAL2SVsf1hx56KOEyAAAAgC6mTMeAOoB8eqrxbUnSqy1LXa4EAAAAAAAAQC51NYgp/GPmmhW+p+M6ypn9Oo++k5yv8ebOZldq6gtG9h/pdgkAAPRKWsF1STrxxBN1+umn67TTTtNxxx2n6urqfNYFAAAAlJzWsL8ruG4SXQcAAAAAAAAAIJk9q+K7M0tyZZy9e8f1XLF+Bo/hIbiOsmW9zg0j8j6aNHhSzO2hcEhej7fgdZU7PksAAKXKk+6O++yzjx599FGdccYZGjJkiE499VT95Cc/0WuvvaZAIJDPGgEAAICSYMjZCYbgOgAAAAAAAAAAydw+bnrC7V0zm5ZBcN3RidoK9RI2Rbnp3nH9S4d9KeZ2XvP5QRMtAECpSju4/sADD2jlypVav369/vznP2vPPffUX/7yF51yyikaPHiwpkyZoltvvTWftQIAAABFLSzTHngmuA4AAAAAAAAAQHL7Vo9PuN2NBjHW2H4uOUOlhmHYHdc5f4By073jerWvOub2X77xy4LX1BfwWQIAKFVpB9ct48eP12WXXaYHHnhAq1at0rp163TNNdfo3Xff1Q033JCPGgEAAICSMLpiiKMTDAAAAAAAAAAASGafqnEJt3c1iCmc7rF1b+ZxmjjOUKmhruA63adRbrp3XO/uxpdvLGQ5fQafJQCAUuXrzZ1WrVqluXPn2v/t2rVLxx13nE455ZRc1wcAAACUjLAZVmu4Q5J0f/1s/WLcZS5XBAAAAAAAAABAcUrW5byrQYx7LWJCCuujncu136Cje32MZB3XCZui3Fivdes1LkmV3kp1hjpj9snHzAZ9STAcjFl3fsYAAFBK0r5E9KGHHtJll12miRMn6vDDD9fMmTN14IEH6oknnlBDQ4Nmz56tH/3oR/msFQAAAChqIXUNNt+69UkXKwEAAAAAAAAAoHh9ZdjUpLfZwfUChjJrPJVx2740+4qsjukM3nsMD8F1lC3rNe0Mpv/z4n/G7NPc2VzQmsrRvM3zYtbdvLgHAIBspN1x/ctf/rImTpyoH/3oR5o+fboqKiryWRcAAABQ9Fb762LWQww2AwAAAAAAAACQ1GjfENUFG3TliP9Luo8VfS1kJNNQfCfo7e31WR0zpuN69H8SwXWUHytA7Xwfnb/v+bH70B08a7s6dsWs81kCAChVaXdcv/vuu3Xsscfqxz/+sUaOHKlzzz1Xv/nNbzRv3jy+XAAAAKBP+tK638WsE1wHAAAAAAAAACA5K+DqMeKD4ha743oBo+vhBLkXf6gzy2N2nTMwDMPuuE7GBuXGek0bKd7XdAfP3o62HTHrfJYAAEpV2sH1b37zm/rHP/6hLVu26I033tC0adP07rvv6pxzztGQIUP0f//3f7r99tvzWSsAAABQVF5tWRqzHhLBdQAAAAAAAAAAkgkn6MzcnRV+LWTQNdH4/qaWzVkd01m/IUMhMyRJemPDG1kdFyg2gXBAUur3NSHr7HV2u5iGjusAgFKVdnDdaf/999c3v/lNPf7441qwYIGuvPJKvf766/r+97+f6/oAAACAknHZ0NPcLgEAAAAAAAAAgKJlBS09qYLr0f8vZMw1UQC00luZ1TGD4aC97PV49df3/5rV8YBi1drZKkna0rIl6T50XM+eP+SPWec5BQCUKl+md9i6davmzp1r/7dixQpVVlbqmGOO0WmnEdQBAABA33TZ0NP06SEn6tK1zEIEAAAAAAAAAEAiVsd1j5G8z6LVtbmQHZq3B5vitnkNb1bHdIbhfR6ftrZuzep4QLFq6GiQJI0ZMCbpPnQHz96Gxg0x6wTXAQClKu3g+hVXXKGXX35Zy5cvl8/n01FHHaWLL75Yp512mo4//nhVV1fns04AAACgqH17xDkpB9oBAAAAAAAAAOjr7OB6yo7r0eB6AUOZIcWHavcZMjmrYzqDuh7DI58n496SQEmoa6mTJPWr6Jd0n0JeiFKuNjVvilnnYgAAQKlK+1vxggULdMEFF+i0007TCSecoH79kn/ZAAAAAPqaI/vvJUn61vBp+mP9LJ1Ze5jLFQEAAAAAAAAAUFys8Grq4HpEc7i9ABVF9PdUxW0bWTMiq2N2D65n28EdKFbVvkiz0wpvRcz25Vcu1z537SOJ7uC5MKJf7GdSKBxyqRIAALKTdkvIt956S7/4xS80ZcqUnIXWX331VZ177rkaO3asDMPQv//975T7z507V4ZhxP23bNmynNQDAAAAZOvAmomSpAGeGpcrAQAAAAAAAACguNgd11PMYLoj1FyocmyJIrWz1/8vq2M6g+uGDO02eLesjgcUK+uClEmDJ8Vs33vY3vbymxveLGhN5ShkxgbVNzdvdqkSAACyk/E8RM8880zC7YZhqLq6WpMnT9akSZMS7tNda2urDjnkEH3pS1/SRRddlHYNy5cvV21trb0+YkR2V7kCAAAAueKJXhvK9HwAAAAAAAAAAMQKKzJ2nrzfurSxc4e9bJqmDCPV3rnhS7/vY9qsMK8UCepfd/x1euSDR3L+OIDbrG7qqc6NvbPxHV2w7wUFqqg8de+w3r+yv0uVAACQnYyD6xdccIEMw4j5gi3J3mYYhk488UT9+9//1pAhQ1Ie6+yzz9bZZ5+daQkaOXKkBg8enPH9AAAAgHzzRAfQw0x5CAAAAAAAAABAjHA0a+JJERSv8VTay6ZMGSlj7rkRigbqB3n7qzHUam/f0rxFYwaO6dUxYzquG4YqvZGfa3D14N4XChShv33wN0nSU8ueSrpPIS5AKXfdO64Hw0GXKgEAIDsZB9fnzJmjH/3oR/r5z3+uo48+WpL07rvv6oYbbtCNN96oQYMG6etf/7quvfZaPfDAAzkvWJIOO+wwdXR0aP/999cNN9yg0047Lem+fr9ffr/fXm9qapIkBQIBBQKBvNSH8mC9PnidlKhgULL+8DEJDgIA8i8Q/X1jRgfQg2bY3lbOrJ+xL/ysKF68/gAAxY7vTAAAAD3jOxPQN1idmUNK/n4/ot/e9rLfDMtXgOB6IBoy93R7rDfXv6nz9j6vV8f0ByJZFY/hUSAQUDAYCZmapkkOAWXl3U3v2svJXtuhcIjXfZYCwdjnzx/wxz2ngVBAXo9XHiP3s0gAAJBKJr/nMw6uf+c739G9996r448/3t52xhlnqLq6Wl/72te0dOlS3XnnnZo+fXqmh+7RmDFjdO+99+qII46Q3+/X3/72N51xxhmaO3euTj755IT3ufXWW3XLLbfEbZ89e7b69euX8xpRfubMmeN2CeitMdEr3xngBADk2YTqCZoV/X2zxIwMam+VaW/rC+ZI/M6Fa/rSew0AUNr4zgQAANAzvjMB5S0UDa7PNQ0NS/Jeb3WEx58Ph1ThyX8Ac1W0k3GoWyf4efPmybcy42iNJGlH5w5JkmEamjVrljb7N0uKhHpmzZqVRbVA8Ur22l6zao1mtfG6z8aaDWti1u989U6NqeuaESIQDujLS7+soRVDdee+dxa4OgBAX9fW1pb2vhl/u161apVqa2vjttfW1mr16tWSpL322kv19fWZHrpH++yzj/bZZx97/bjjjtOGDRt0++23Jw2uX3/99ZoxY4a93tTUpAkTJmjq1KkJfw7AEggENGfOHE2ZMkUVFRVul4NMNTVJTzwhDR4scZEKACAPTMeA+l8mfFMnRmf6qI/+/3CZmtYHpj0MmKbmSJoiqaIP/LwoTn3hvQYAKG18ZwIAAOgZ35mAvsGMdjb/hMejMUne602OTsFnGlJ1AT4T/hMN1NcYHjU5th9y2CGatt+0Xh1zQ9MG6UPJ6/Vq2rRpWrlzpfSR5Kvwadq03h0TKEqLuhbjXtvR2z514qc0bR9e99l46rmnpB1d68vblsc83/M2z1PTB01qCjXxGQMAKLimpqaed4rKOLh+xBFH6Hvf+57++te/asSIEZKk7du367rrrtNRRx0lSfr44481fvz4TA/dK8cee6weeeSRpLdXVVWpqqoqbntFRQVhZKSF10qJ8vm6unEwuAkAyIOwuoLrB9dMtE+mVdgD6mbfOcFmRn7WPvPzoujw2gMAlAS+MwEAAPSM70xAWWsMtSqkSHC90vAkfa9XOYLrPqMw439mtC6PEdtxvSnQ1Ou8gNfrtY/pzB2YpkkGAWUjEArErHd/bR8/4Xi9ueFN+bw+XvdZMo34WSqcz6nP50u4HQCAQsjkd0/GwfUHHnhA559/vsaPH68JEybIMAytX79ee+yxh55++mlJUktLi2688cZMD90rCxcu1JgxY3reEQAAAMghZ3Dd45g61BOdwjTMdMYAAAAAAAAAANj+sO05e9kaS0/EGR4v1Fh70AxFHrtbXZ2hzl4fM2zGhuGN6LFNcf4A5ePJD59MebvXiFzAEYq+x9B7oTDPIQCgPGQcXN9nn3300Ucf6b///a9WrFgh0zS17777asqUKfJ4Il+2L7jggrSO1dLSopUrV9rra9as0aJFizR06FBNnDhR119/vTZt2qS//vWvkqQ777xTu+++uw444AB1dnbqkUce0cyZMzVz5sxMfwwAAAAgK9aAs6SYYWxrADqssAAUxgP1s/Xl4VPdLgMAAAAAAABACq3hDnu5e2dzJ2d4vFBj7aHomL+3W11vbXxLVx59Za+OGRdcZzYJlKFNzZtS3u71RIPrhK6zNm/zvJS3Oz9jTNPkMwcAULQyDq5LkV90Z511ls4666ysHnzevHk67bTT7PUZM2ZIki6//HI9/PDD2rJli9avX2/f3tnZqWuvvVabNm1STU2NDjjgAD3//POaNm1aVnUAAAAAmXL2Q3EOsNsd1+mYAhTMV9bfRXAdAAAAAAAAKHJPN75rL6fsuB4TXC/MWHsoGpD3Kja4/ujiR/X3C//eq2N2D65bTGZsRRn53pzvpbzdev3TcT17EwdN1PIdy9PaN2yG7W73AAAUm7SC67///e/1ta99TdXV1fr973+fct+rrroq7Qc/9dRTU34hf/jhh2PWr7vuOl133XVpHx8AAADIF2eXF+cgut1xnYFnAAAAAAAAAABsO4PN9nJFikClM+hdqLH2ea0rJUltYX/OjhnXcT16LsGk8Q36ECs87ZzJGL3TUwd1w3nRjxmWVwTXAQDFKa3g+h133KHPfe5zqq6u1h133JF0P8MwMgquAwAAAKXKOVieuOM6A3AAAAAAAAAAAFhG+AZpa3CXJMmXKrge03G9MGPty/wbJcmuLxfigus9hE6BUnfU2KPitnk9kfd6KEzH9WwFw8G09+VCAQBAMUsruL5mzZqEywAAAEBf5Rwsdw4128F1Oq4DAAAAAAAAAGDbq2qMlnSsk5Q6uB7bNbjwY+3Pj7tO/7fpV1kfxwqOGooNrJucP0CZuv7E6+O2WR3X2wJthS6n7Fjh/8NHH64FdQs0sXZi0n0JrgMAipmn512SM02TL9QAAADok5zfgj2Or9VW5xQ6rgMAAAAAAAAA0GVy1Rh72ZsiruLsTG6qsJmUvarGatqAw3JyrO1t2yVJLZ0tkroC7IX+mYB8OmTUIfby5KGT4263Xv8723cWrKZyZXVcX1C3QJK0vml90n35nAEAFLNeBdcfeOABHXjggaqurlZ1dbUOPPBA3X///bmuDQAAAChazk4FHscgut1xnQEhAAAAAAAAAABsJwzYz162msD0xG8G8lVOjNG+IZKk60ZdKEm6vt+ZWR/TagTpD/kldQXyaRCJcnLZIZfZyweNOiju9kZ/oyRpaM3QgtVUrhZsWZD2vnRcBwAUs4yD6zfeeKO+853v6Nxzz9UTTzyhJ554Queee66uueYa3XDDDfmoEQAAACg624NN9rJzmk+74zoDzwAAAAAAAAAA2KyGLyf036+HPbvsseRr+Sonxr7V4yVJtd5+kqR2R2B+W+u2Xh3zgYUPxKw7zyUA5cLn8UmSLjngkoS37zlkT0l0AM/W4q2L1R5sT7mPc7YKgusAgGLmy/QO99xzj+677z5deuml9rbzzjtPBx98sL797W/rZz/7WU4LBAAAAIrRko519rJH8R3XOwvUBQYAAAAAAAAAgFJgNXxxzmLak6BC+SonRij6ONYY/1uB1fZtK3as0Mj+IzM+5t8X/z3hdgK8KCem/b5O3DuVmQZy48XVL2a0P8F1AEAxy7jjeigU0pFHHhm3/YgjjlAwGMxJUQAAAECxu3D1rfays0tKXaBBkrSofU3BawIAAAAAAAAAoFiFFQlSejKPquSdHaqPjveP9tTm/DEI8KIcfbD1g5S3P/nhk5KkP877YyHKKVubmjf1uI/zfOXqhtUp9gQAwF0Z/zXw+c9/Xvfcc0/c9nvvvVef+9znclIUAAAAUEqcU+89sesNFysBAAAAAAAAAKA4dQ+HF5NQNFTvjXaN7m9U5fwxjCL8uYFsjRk4RpK0vnF9yv0+3P5hIcopW/0q+tnLVx55ZY/7P77k8XyWAwBAVnzp7DRjxgx72TAM3X///Zo9e7aOPfZYSdLbb7+tDRs26LLLLstPlQAAAECJYOAZAAAAAAAAAIB4P6/7pyRpXttKlyuJ9UHbGr3dulxSVzf4CsNr337SQyfJvDl3XdJN0XEd5SMYDkqSjhl3jMuVlLcl25bYyxMHTZQkjR84Pun+9W31ea8JAIDeSiu4vnDhwpj1I444QpK0atUqSdKIESM0YsQILV26NMflAQAAAKXluyMv0H+a5rtdBgAAAAAAAAAARWVxxzpJUnO43eVKYh2y7Dv2sic6w6ovGmDPxjXHXqM73r7DXrdmbzVNgusoH4FQQJLk86QVQUMvPbXsKXt5W9s2SV0XDVjCZtherqmoKUxhAAD0QlrfGl5++eV81wEAAACUjPawP+lt4yuHSZKGeAcUqhwAkn637Rl9Z+R5bpcBAAAAAAAAIMc+tfo27V01Tj8f94W8P1YoGvx0dlyXImFzK3ierslDJ0uSLt7/YknM2IryZIWnK7wVLlfSdwRDkee8rrUu5rOJ2RwAAKUi+0tEAQAAgD7mx1seS3qbLzqYHTBDhSoHgKSrN97vdgkAAAAAAAAA8uDJXW/qF1ufKMhj/aPhNUnSN2tOitm+eNvijI9ldT/2GLHRHMKlKCeBMB3XC+GU3U6xly87+DJ7eXvbdnvZ2XEdAIBiRnAdAAAAyNC2QGPS2yqMyMBckOA6AAAAAAAAAAC9cv/EK+O2mWb+A99+MxLCPdg3PnZ7MPlMrMl0D67bXZEL8HMAhWJ3XPfQcT2fztsnMuPs0eOO1oEjD7S3/3juj+3ljmBHocsCAKBXCK4DAAAAGdq7emzS23zRr9gBM1iocgAAAAAAAAAAKGrNobaM9q8PNsdtW9u5NVflJHVW7eEJt/emS3pccF1G7wsDihQd1wsjFI40zNp3+L4x2++Zd4+9fPd7d9vL3fcDAKCYEFwHAAAAMrRn1Zikt1kd10MK0zUFAAAAAAAAAABJ/gybvXiN+DhLSzj/3YSP65847Nmb8f7uwXX7WL0IwQPF6uFFD0uSKrx0XM+nUHSmZ6/hTbrPul3r7OXxteOT7gcAgNsIrgMAAAAZqkgxKNTfW20v7wq1FqIcAAAAAAAAAACKmhW6TNfBNbvHbeuIdnbOJ1+K8f9MWcF1q9O6YdBxHeVrwZYFbpdQ1pJdCON0yKhD7GWaawEAihnBdQAAACBD1UalvTx78i0xt/XzVNnLbWF/wWoCAAAAAAAAAKBYhaKhy3RNGXho3Lb2Aoy5e3MYo7GCo1bQ1AqwO28DSpnzdRzO8D2OzITCPXdcP2fvc+xl/j0AAMWM4DoAAACQoZAigz1H9pusKbWHxd1uBduDGXaQAQAAAAAAAACgHFnj6ulK1J18VWddrsqJsWfVaHs5nKTOYDiY8XG7d0im4zrKTZO/yV4+fsLxLlZS/tLpuG7KTLgMAECxIbgOAAAAZMgaHErWecWaSjTTgXgAAAAAAAAAAMpRLhq9bA805mWm068PP8teDifphO4M6KarLdAmKbbTuoVQKcqB833x1cO/mnCf2864TZI0vnZ8QWoqV6HoZ6jXEzkHefGoi+P2cXbAZ1YHAEAxI7gOAAAAZCis2Ok9u/NFt9NxHSis5lCb2yUAAAAAAAAASGBuy5Ksj/H9zX/R7ku+koNqYg3wVNvL3iTj/tMenZbxcX/y6k8kSQ8uelBSbICdUCnKQSAckCQNqBygKl9Vwn0OHnWwJGlU/1EFq6scde+4fsbQMyRJAysHxu0jcXEMAKC4EVwHAAAAMmQPDiXokiJ1dVwnuA4U1gr/ZrdLAAAAAAAAAJDAA/VzupYnfrvXx9kebMxFOTGsMX1J2qtqbM6PbzGMxOcUgFLVGeqUJFV4KpLuY73unaFqZC4UjnZcd3xeSVJHsMNedobVrX8bAACKEcF1AAAAIEPL/ZskJZ7eU5K8ouM64IbOcNDtEgAAAAAAAAAk8EbrR/bybpUjXawknhX2PH/QMQULl9MNGeUgEIp0XK/0Vibdx+oQzms+O907rlsC4YBaOlti9pGkLzz1Bb2z8Z3CFQgAQAYIrgMAAAAZqvX2kyR91LEh4e12x3XRPQIopIBJcB0AAAAAAABA73RvVjPr/CfydnzTJMSL0md3XPem6LguOq7nQijaLMvriZyDHOQbZN/2wsoXJMV/rlz936sLUxwAABkiuA4AAABk6K2WZZKkUJJguhVcbwq1FawmAFJLuKPnnQAAAAAAAADAIVmG/OxJU3L6OIXq5g4UyuJtiyWl13Gd4HrvLapbpN+89RtJkjd6DtLjiPxVeaskSR9s/SDmfm9vfLtAFQIAkBmC6wAAAECG/t7wiiRpV6g14e3rOrdJkrwGX7eBQhruq3W7BAAAAAAAAAA9OLr/Xmnt96cJ38pzJRGmIsn1XMbKewrpWo8JlLJdHbskSasbVifdx7pgg1kGeu/if15sL1sXAlR6ui4WGFc7TpL0s9d+VtjCAADoJZI0AAAAQI7tVTVWEoNwQKH091RLkjw5PbUEAAAAAAAAIB8Gevultd/XR5ylxkP+oUuGnJTXepZ0rIv+//qcHbMjGD87pOEYvyyX8wdn/PUMGbcY+mj7R26XAheEwiFJ0ucO+lzSfei4nr3mzmZ72euJdlw3PBpSPSSyLdqFHQCAUkFwHQAAAMgxX3SAKEzHFCAvup/UGeipkcR7DgAAAAAAACg3td5+8uY52nL39lmSpI/9m3N2zPq2env56mOultTVeVoqj47rK3as0P/W/E+SdOYjZ7pcDdwQMiPBdZ/Hl3QfguvZc1704nHM9lztizT1SfV5Ui4XyQAAygvBdQAAACDHrK7PYTEIB+RD9/dWXbBBknTZ2jvcKAcAAAAAAABAHnmN4oi2OMPoPXGGdG+feruk2PBpOWgPtNvLG5o2uFgJ3GJ1XE/V8dt63ZfDxRpucV704nyurec21UUB1sUFAAAUk+L4dg8AAACUETu4ThcDIC+SdVZf7t/EICwAAAAAAABQZtrD/ph1tzoIf/25r6e9rxUkHVA5QF5PfKi3HLog11TUuF0CXGa9zj0pLi6h43r2nM+vc9kKtKf6PAmEAvkrDACAXiK4DgAAAGTo+P77SpK+PeKchLfbg3B0jwDyItVFIUEGvwEAAAAAAICyEujWrMKz8Hy91bKs4HX866N/ae2utWntmyjQ6+yaXA7dpys8FTHruzp2uVMIXLF462I9svgRSUp4cYYlnXA1UnPO1uB8rq3Pl1SfJ4EwwXUAQPEhuA4AAABkaJW/TpI02Ns/4e2eNKbmA9B7qQZhQ+J9BwAAAAAAAJSTROOBx6+4zoVKpM/O/Gxa+yUMrjvCp+Wg+zmQTz3xKZcqgRum/G2KltVHLiDxGsmD63Rcz15HsMNebu1stZeNNM5HPvnhk/krDACAXiK4DgAAAGTICqwf1m+PhLfTcR3Ir1TvrWC37ksAAAAAAAAASluyWRYbgi1ZH7sj3Gkvf3bIKT3u/9bGt9I6bqLgutP6xvVpHaeYhbqNxb64+kW9u+ldOq/3EVtbt9rLqTquE1zPXv/KrkZald5Ke7klEPkMTPXcvrnhzfwVBgBALxFcBwAAADLUYUam1RtXMSzh7XbHdYLrQF6kGoQNMfgNAAAAAAAAlJVZTfMSbr9w9a1ZH/u6TQ/byy82L8r6eJaEHdeNro7r+929X84eyy2JxmmPuf8YXfLkJS5UAzclu0BD6uoKnmomVaTmvNDF+VzvbN8pSZqzak7S+3a/wAQAgGJAcB0AAADI0KbOHZKkaqMi4e2eNKbmA9B7dFwHAAAAAAAASsv+1RMkSUO9A3N2zLkti7M+xh+2P2cvbws2xt3+zGee6dVxEwbXZSTbvSQlOwcye9XsAlcCt3kNOq7n08j+I+3lDU0b4m6/b8F9Se/L8w4AKEYE1wEAAIAMbOysV1CRYGyVJ0lw3RqEo3sEkBcBM5j0tvpgUwErAQAAAAAAAJCOo/vtLUm6btSFLleSmXP3ObdX90sUXO/ONEv7HEJrZ6vbJaBIeD3Jg+vWTAMEqHsnbIa1rXWbvV7jq4nbxzmbQ3fbW7fnpS4AALJBcB0AAADIwOMNr9nLg7z9E+5Dx3Ugv1J1VZ+Tw+l8AQAAAAAAAOSGGW300pue47tVjky4PZfd23MtYcf1buFSs8Sb3wTDyRuMoG9Jp+N6qV+o4ZaOYEfMeqKQeqrZHC7a76Kc1wQAQLYIrgMAAAAZaA6128tDvAMS7uOxukeU+KAzUKzaw51JbwtxwQgAAAAAAABQdP6y83+SpEXtazK+73H990m4fXCS5jK5duVRV9rLFUlmYu0uYXC9V7H94vXupnfdLgFFotHfmPQ2e5Zixu57pTMUez6k0lsZt0+qjuupuuEDAOAWgusAAABABg7tt4e9XJVkgNoT/ZpNcB3IjxeaFtjLJ/bfP+a24wYkPokFAAAAAAAAwH2PNbya8X2SNbIIqzBB2JBjBshAOJBW5+hEwfXugdNAKJCjCt0RCJd2/cide+bdk/Q264KNUp9hwC3dPye+eeQ34/b56uFflSRV+6p7vD8AAMWA4DoAAACQgQGeyKDPgdW7Jd3HEx2Eo3sEkB8vNb9vL7+6960xt1UYvkKXAwAAAAAAACCPDu+3Z8LthZp9sftYfzAcTPs+MR3Xu3VF3ty8OQfVuYdzIH3PK2tf0SkPn6Kl25amfR86rmdnxY4V9vKMY2dot8Fd5yfP3ftcSdKIfiMkSR3Bjrj7c4EJAKAYEVwHAAAAMhCKdnCpMJJPrWcPwtE9AsiLJ3e9aS8bhqHTBx5sr4fT6HYEAAAAAAAAwB3H99834/t8fuip8iaIt+R6DH6Ub3DC7dMPmx6z3hlK3AHeKVFwXZKm7DHFXr7h5RsyrLC4EETue079y6l6dd2rOu8f58nnSa+JjHXBBq+X3vn8U5+3l7946BdjbrNmgLZmhZg8dHLc/dO50AYAgEIjuA4AAABk4KyVP5YkfezfknQfOq4DhfXfybfYJ64KNT0wAAAAAAAAgPRNHXiYJOnrw8/K+L57VI3WugMfiNue647rFww+NuH2o8cdrVVXrbLX0+lgnCy4/sylz9jL21u396bMopHqHIhJg5GytrphddrBdes9sLN9Zz5LKlvrdq2zlw8adVDMbV5PpMmW9V5M9L5bVr8sj9UBANA7BNcBAACAXmgJtye9zWN1j6DjOlAQPsOr3atGSirc9MAAAAAAAAAA0mc1nPClmM00lXGVw5IeM1fOHXRU0tsmDZ5kLzf7m3s8VrLgerWv2l4+ZNQhmZZYVFIG1zk/UvacIelxA8cl3a9/RX972R/057WmcnTI6OSfE9bnSygc6bie6D1p3QYAQDEhuA4AAADkmMfu/MzALFAovO8AAAAAAACA4hU0swuuOw301EjKvolF9+7E02qPTLqvEW1YI0nBcLDHYycLrktSpbdSkrT74N3TKbNoPbzoYUnS5KGT425L5zlCafOHukLo+43YL+l+w/p1XXTSGerMa03l6MJ9L5QknT7p9LjbvNHP05AZivn/mH082X/mAgCQawTXAQAAgBzzKNpxnc7PQMHwvgMAAAAAAACKV8CMBJl9OYipVHsiwe9sm1i83bo8Zt0ZTk/l2RXP9rhPquC6Fd79zgvfSevxitGiukVa1bBKknT4mMPjbp/18axClwQXLa9fnvS2Ck+FvcwFDZmzPkv2GrpX3G3W54u1T6LzI1wsAAAoRq4G11999VWde+65Gjt2rAzD0L///e8e7/PKK6/oiCOOUHV1tfbYYw/96U9/yn+hAAAAgOK7ryRjDxTR+RnIqc5wQDMb3tSkylGSpEuGnGTf5uV9BwAAAAAAABStYLQTcIXhy/pYe1eNlZR9x/Xl/k328h3jv5z2/eZvmd/jPqFw5OdNFFy390nQHblUrN211l6u9lXH3b546+ICVgO3DaoelPQ2Z8dvguuZs54z5wUAFuu5tT5vEgXXA+FAHqsDAKB3XA2ut7a26pBDDtFdd92V1v5r1qzRtGnTdNJJJ2nhwoX64Q9/qKuuukozZ87Mc6UAAACAFFZ6g+B25+c09weQnkcbXtXFa27Tms6tkqTdK0fat3mif95me7IKAAAAAAAAQO4Fo+Pl3hRB7nSNqxgmKfsmFtsCu+zlydEwfDqGVg/tcZ+GjgZJkj/oz7iuUuAMyPbz9Yu7vZRD+cjcEWOOSHqbx/DYF3AQXM+cFTz3eeIv+vEakeC69X60AuxOdFwHABQjV4PrZ599tn72s5/pwgsvTGv/P/3pT5o4caLuvPNO7bfffvrKV76i6dOn6/bbb89zpQAAAED6gVgruJ5mg3YAKdQFGtQcapMkbeysj7ltkLfrhIjH4IIRAAAAAAAAoFg1hloldY2fZ8MKv7eE27MKSA/xDbCXq434bsbJnLHHGT3uU+OrkSStb1wfd9tBIw+SJF173LVpP2axqa2qtZerfdX6w9l/iLk9UYAWpa3J35Rw+4X7XajfTP1NyvtawWqC65mznjtn53qLdUGA9TnovKDk/H3OlyS1B9rzXSIAABlzNbieqbfeektTp06N2XbmmWdq3rx5CgSY2gQAAAD5tSFQ3/NO6hooIkALZGd7oFFjFl+uoe9/TpLkN2P/7ptcNcZe9sp633HFCAAAAAAAAFBsVvq3SJJ2RQPs2TAc4Xffwk/2+jgVRlcH48He/j3uf+z4YyWlF8q2ArqHjzk87rajxx0tSRpSMyStOouRx9E5P2yGdeXRVyp4Y1couSPY4UZZyKPRt49OuP2e/7tHw/oNS+sYK3asyGVJfYIVRvckmK0iruN6NMD+4bc+1LS9pkmSFtYtLESZAABkJH4ekSJWV1enUaNGxWwbNWqUgsGg6uvrNWbMmLj7+P1++f1dUy81NUWuAAwEAoTdkZL1+uB1UqKCQSnadZN2twCAXHmhqWtw55+TfqBA0t8xkd9BATOcYp/yYP185f5zwh1vtkYGsYMKKWCaag3HTmnpNXz2a886WdUS6uT1CAAoOnxnAgAA6BnfmYC+4f32dbooy/f5QMdMjFLvPzdCjrsdVLNH7HEMI3LO2ZEX8CoSEu0IdPSYI+gIRILbHnni940+TCBYurmVcKircU8wFIz7OdJ5jlBa2oOJO3cPqRyS9r/1c8uf08kTTs5lWWUvEIw+t2aCHFP0s6Qz2KlAIGAH2MOhsBrbGyVJew/dm/ciAKAgMvl9U1LBdUkyjNhpo0wrpGAknk7q1ltv1S233BK3ffbs2erXr1+CewCx5syZ43YJ6C3rYhYGOAEAOfJq50572Rh4hGYl+R2zNRqgXWyGk+5TbuZI/M5Fzr3nmNZylmnqjm3/jrn9nXBQ3ujrbkH7KknSxWt+occPflxVnqqC1QkAQLr4zgQAANAzvjMB5W1JqD3rcfOtRuzYX2+PtyjanfiI2iP0goyuz56amsh/r78es3/jrkgQdN78eapeXZ3y2PMa5tn3mTVrVsxtmzZskiQtX7Fcs5pmxd23FCxpWWIvP7f0OU0NTY25/a55d+kTwU8Uuiy4oPvrO5U1a9ZktD+k1RtXS5LWrF6jWe2xz93mTZslSStWrNCs5lnq7Iw0/3nt1de0rW2bJKluex3POQCgINra2tLet6SC66NHj1ZdXV3Mtm3btsnn82nYsMTTzlx//fWaMWOGvd7U1KQJEyZo6tSpqq2tzWu9KG2BQEBz5szRlClTVFFR4XY5yFRTk/TEE9LgwRIXqQAAcmRuuGsmn/M8FUkvnnwsOl3ffpKmJdmnXARMU3MkTZFUUeY/KwrPdLymEr2XmluWaNqQE+K2D2j9SFNqD8trbQAAZILvTAAAAD3jOxPQN4w2A1mPm+/R7f69PV5dtF3xaHlij9HWJu3aJX3qU5IjV/KHR/+gJS1LdOAhB2ragdNSHnvXkl3SOmnU8FGaNi123xdeeEHaIe0xeQ9NOzn1cYpV7fpaaWVkeX3H+q6fcVHXPt1/bpSusBmO+be13H3W3Zp2eBr/ztH7Xjn1Sp2y2ym5LK3szf7vbKle2mvyXpp2SuS5tvJMu03cTaqXJu05SdNOnSZjqSGFpdNOPU1Dtg6R1kmDBg/ivQgAKIimpqa09y2p4Ppxxx2nZ599Nmbb7NmzdeSRRyYNFldVVamqKr7TXkVFBWFkpIXXSony+bquiGdwEwCQI6a6uj9XejxJ9/NFO64bMvvGSTYz8nP2iZ8VBeVzvKYSvb5qvTUJty9pX6Npgw7Pa20AAGSM70wAAAA94zsTysS3N/xZyzs26T+Tb5bX8LpdjutMR0f0kIJZv8c9kuZM/ommrLxJB1XvlsXxInVVGN74Y5hm5JyzIyvwxsY3JEmvb3hdlx92ecojG57I8Sp88XmDCl9k3TCMks0i+HyxcaNEP0ep/myI9+aGNxNu//yhn0/r33mPIXtodcNq9a/qz+siU9GPpgpvgs8Sb/SzxBP5LAlHZ7GtrqxWTWWNJCloBnnOAQAFkcnvm+RpmwJoaWnRokWLtGjRIkmRKWEWLVqk9evXS4p0S7/sssvs/b/xjW9o3bp1mjFjhj766CM9+OCDeuCBB3Tttde6UT4AAAD6mJAjuJ6KJ9pxPZzm/gB659NDTky43cfJQAAAAAAAALjoru3Pa07zIr3ZusztUoqCc6z8q8PO7PVxptUeGTnG8KnyRIPmYZmp7pKSNebvSTP43hHskCTdv/D+HvcNhoOSJJ8nvp+kdQ4hZIbSetxiZAVkJWny0MkuVoJCOOHB+JlPJanKG99INBEjmr42s3i/9lXWe8363HCyP0vCobh9rc8e67MIAIBi4mpwfd68eTrssMN02GGRKdxnzJihww47TDfddJMkacuWLXaIXZImTZqkWbNmae7cuTr00EP105/+VL///e910UUXuVI/AAAA+pb6YHpTG3mU/YA5gFjGgvPitk2sHJFwXwa/AQBuM01TV224V7dvfcrtUgAAAAAUmLO7+IWrb9VTu95ysZri4Bwr37d6fK+P8+yeN6jxkH9o7+px8irSvCJk9r6BjHVfbx6iM6mC61YX/nAWtbvNGbr/5L6fdLESuKnSW5nWfkb04hDn5yPSkzK4Hp0d2trHH/Lb+1Z4Il1v52+ZT3gdAFB04r8hF9Cpp56a8kvJww8/HLftlFNO0YIFC/JYFQAAAJDYPxveSGs/u9MLA3BAVnoaxK711CTcHijhTkUAgPLwfvsa/WH7c5Kka0dxAh8AAADoS15v/dBerg826cLVt8o8/BkXK3Kfc6w83e7miXgMj2q9/WKOk13H9cg4ojdBIDSVoTVDe9wnrY7r4dIdx3TW3uxvdrESFMIJE07QGxtiz5GNHjDaDqT3hI7rvZdWx3UzZM8IIUk1FTUxnz3Pr3he5+97fp4rBQAgfa52XAcAAABKSboDap7o12zn9KcAMtfTe64y2jGku4BJ9xAAgLtaw10nC//X/L4qF56vFa0rXKwIAAAAQKFsDzS6XULRCTnGyq0ZS7PVNfNp78fhrUB9uh3Xrz7maknS5w76XI/7bmraJClJx3VPaXdcr2+r1/UvXW+vJwrUorzsMWSPmPX3vvqe5n9tftr3p+N671mfE9bnhpM1e8PaXWsVCAXs7TW+2OD68h3L81wlAACZ4dsjAAAAkKb0g+t0XAdyocUR+stEsERP+AAAyofHMex6xsc3SpKu+/g6t8oBAAAAUEDDfLVul1B0nAFtT45iKnYDmSzG4a1Afbod1/tX9k/72O3BdknS9tbtcbdZQe9SDa7f9PJNmr+lK7Rcqj8H0tf9Aowjxx6psQPHpn1/Oq73nnVxTqILROrb6iVFPptCjplovR6vhvUbZq8n+hwCAMBNBNcBAAD6gPltK/XfpgVul9Fn2IPOdFwHslJhxHcQSeaj/f9oL28K7MhHOQAApM2T5lTZAAAAAMrPIG8/t0soOmFHWDXdkHhPrOOEshiHD5mZBdczCZxX+6olSSP7j0x6HGfQtJQ8tuSxmHWC6+Xtw+0f6rkVz9nrL132UsbHoON677y14S29tDryfCcKrg+uHixJ6l/RX6GwI7hueLX/iNzJORkAAQAASURBVP3t9YFVA/NbKAAAGSK4DgAA0AccuWyGzlr5Y63217ldSp/QNUUpA3BANlJ1Xzpj4CEx6/tWj7eXH9gxJ281AQCQjmS/wxa2rSpwJQAAAAAKLViiYeR8CsV0XM/Nhb5dM59mH1xPtwu8N9powxkQTXrs6D5jBoxJepxSDXwHw8GY9WQ/ByHl8nDAHw/Q9rZIx+7bp9yu0yednvEx6LieOdM0dfyDx2tD0wZJiYPrtVWRGT5C4VDMhTDWvlccdYWk+PcsAABuI7gOAADQh3zs3+x2CX2C1WEzmylKAUjDfIm7gPxw1Kf06O7fLXA1AACkL1m3vndalxe4EgAAAACFFhTB9e6cs5MmCl/2RtfMp70fh7fqykfHdSso6vXEzyppd1xPIwBfjNoCbTHryZ6PpduXanvr9kKUhAKp8lX16n50XM9c97B5os9O50Uw1ueJx/DYz3cmF9sAAFBIBNcBAADKnPMK+wCdXgrC6s4SzmKKUgCxnZicfj7uCxpZMbiwxQAAkIFkHQSv2vjnAlcCAAAAoNCCJdpFO586za4AZq46rnuj4/DJxhDTYd3Xm2Z0JpPgunVuxufxxd1mhdlLteN697qd50KGVA+xlw+65yCNvH1kwepC/i3dtrRX96PjeuZC3c7pJgqud13AE+66WMbouljG+qzpfiwAANxGcB0AAKDMNYa6Ol8M8ybuXozc6pqilAE4IBuhBBd//GW3q5Puf8WIaZKksRVD81USAABpSbdbHwAAAIDyEzCDPe/Ux3Q6OgfnruN6dBw+iwYyoQw7rmcSOLc6HDtDpBa743qZhEmdXbQfv/hxFytBvs1dN7dX96PjeubS6bjunL3B+jyxnmuJjusAgOLFGRQAAIAy90rLEnvZyE0jE/TA2eEAQO8l6pb0mSEnJd1/QsUISdLmwE4GwAEArlrj3+p2CQAAAABcsqlzh9slFB2/GZAkDfb2z9kxu2Y+7f04YG87rqcTOLdCpwk7rhul3XG9u+H9htvLJ0w8Ie72tze+XchykEN1LXUx64OqBvXqOHRcz9yN/7sxZj1RcN15Mc26XeskSZ2hzrjby+UiGQBA+SC4DgAAUOZu3/qUvZzNlJmQbhx9SVr72R3XGYADspKo47ovQYciy6ZA10nBRPcFAKBQ/tHwmtslAAAAAHBJpafC7RKKTkc4EqSsMnL33Fhd0rOZ+TTjjusZBM6toKgVHHWym9+UyTmb7x73XXs5UYf5216/rZDlIIeW1y+PWd/UvKlXx6HjeubufOfOmPXdBu0Wt491AU/IDOnRxY/G3W5dOEPHdQBAsSG4DgAAUOasLgYSQepsjakYIkm6cPBxKfezg+sMwAFZSXTiJtVUwgfWTLSXO5mSGQDgIiuUAQAAAKDvCSbobHvUshkyFpynO7c97UJF7vvy+j9IkjqinddzwRqH3xlq1sWrexeMXtwe6VCcacf1v33wN53997NThnBTdVzPpHN7sfv9Wb/XmIFj7PVEQf1yCej3Rc7u3VLq8flU6LievYNGHRS3zXq/bW7erHsX3Bt/e/RCEuvzCACAYkFwHQAAoA+h43p2rOC/82KAROxuKXR8BrKSadf0iwYfby8HCK4DAFw0pfZQt0sAAAAA4JJE41Lz2lZKkq7Z+EChyykK1s/fGGrN2TE9jnH6mbve7NUxJlWOkiSt7dyW1v7OUPYLK19QQ0dD0n2tUHqi4Lp1nHIIdHf/GRJ1XC+HgH5fFQjHXmzy/Gef79Vx6LievWpfddw263zkq+teTXgf67OG9yAAoNgQXAcAAOhDCK5nxxpQ8/QUXLc6rtM5AshKpp9ZQ70D7eVOOogAAFxUH2xKuH2wt3+BKwEAAABQaAECggXh7WXnZyerccaBNbultX+FpyJmvSPYkXRfq8NxoiB3XUudJGnmhzPTetxic8CIA+zl2qramNusgLLT2l1r810S8qR7x/UDRx7Yq+NYDaGeWvaUPvHXT2hz8+asaytn9W31cdtSBdedjhx7pL1sff6EwvxeAgAUF4LrAAAAZc459Wam3YsRK+OO63SOALLSPbju6eFPWMMw5FNkILaTjusAABfVevsl3N7RrVMZAAAAgPIT7CG4Tsfh3BjpG5z1MazxR1+aIfju3dPbA+3Jjx1O3nH9l2/8UpLkD/nTetxi4+zefMYeZ/S4/4DKAfksB3nUPbjeW9YFDX+e/2e9tOYlXfWfq3Jy3HL18pqX47b1r4hvhrCsflncto1NG+1lOq4DAIoVwXUAAIAyNz86BackrfRvcbGS0mdGg+ueBB1DnLo6rnOhAJCNnaHmmPVdhzza430qoh1EdiTpdAsAQCEku4Cxw+wkpAIAAACUuU2BHSlvbw0n79JdjuoCDXk5bn9vfPfhTFkXGXgV3xU9ke4h9GCKWR8fX/p45Nie9I5dSsLRwP/jFz+uiYMm9rh/IMRF3KXqkicvyclxujeEmvlRac42UCiBBI0PEn2WNHXGnweZfuj0rvsYBNcBAMWJ4DoAAEAZawi2xKxfseFPLlVSHqwAUk8d163b6bgOZMea5cAyMEn3Wqd2M9IBZkH76rzUBABAOoKKnBA8q/bwuNs+6thQ6HIAAAAAFFCVUZHy9s2BnQWqpDjcVvdkQR6nsxczXFmz1KbbcX3e5nkx6098+ETC/T7e8bG93OSPD5aeNPGkdEssSlY3+fG149Pav76tPp/lIE+2tmyNWc+mc76RoCFUa2drr49X7qz3WE8qPZVx25z/TtbFNqkusgEAwA0E1wEAAMpYSzj5NJXInN1xvYfgutWRfWOAwVggG1b39EzsXTVOUtf7FQAAN1jTzQ/xxp/UXdaxMW4bAAAAgPJR5UkdXA/0sc63SzvWF+RxevO82h3X0wyud+9uvL4x8c/W6G+0l3cfvHvc7X86p7SbDFkd1z1Jnre679bpov0uKmRJyAN/yB+zvuGa3l+In6ghFF3Ak0v3uanwxv++OXuvs+1lq0v7moY1uSkMAIAcIbgOAABQxvy96DCC5Kzuz4k6QzjtCkW6RBCbBbJjhf4ysW91JLgeMOkgAgBwjxV+qDR8cbd9fcMfC10OAAAAgALqaSbOvjZuNcxXay9/e8Q5eXucRb2YgdEaf/QpvQYa1d7qmPWJgyb2eJ8aX03ctsHVg+3lcC/GQN0WsgP/iZ+3UQNG6clPd3Xa39DEzGOlyOrWbXG+bjOV6LyaP+hPsCek+I7rJ048MeF+DR0NcducnznN/mZJXQF2AACKBcF1AACAMja3ZUnctiAdDHot3Y7r/YwqSdLQBB02AaQv2IuTNhXRgGBf61wFACgu1nTziYLr9cH4aeIBAAAAlA9rHPn4/vsmvL3D7CxkOa7bu2qsvfzrcV/K2+N87N+S8X3ea/tYUvod16t9scH1vYbu1eN9Jg+dHLetX0U/e7l7QLUU9NRxHeXB7OEinEzQcT0z1nNzxqQz9Ospv9aD5z2YcL/BVYPjtjm7sNdWRS4cyuaiAwAA8oFvkQAAAGUqZIb01fV3xW2/re7JBHsjHVannEQDbE5DfZHAepie60BWQsp84Loi2uWHi3QAAG6yO6574oPrAAAAAMpbOHoh637VEzTCNyju9od3/K/QJbnK6jD/nRHnqspT0cPemfE6Ii8/3fJ4xvdf07lVkvRO64q09u/eNbozlPgihOX1y+3loTVD4253drIOlODMuVbYnuB6eWsPtufsWIk6rgfDfWv2iUxY77FB1YN07fHXaq9hiS+S2W/4fimPM7BqoKTSnNkBAFDe+BYJAABQpppCiQeUHtrxUoErKR87Q5Ep9TwJBticPNGv2QwEAdmh4zoAZG9T5w51luBJ8FK3M9giKXa6+WEVwyRJZ9ce4UpNAAAAQKGZpqkXmxbZweW+IGiG9NjO1yRFGqBsDzbG7fPn+hcKXZarrDG+igQzUmXLZ3T9zbW6s67Xx5nXtjKt/QZVxV6I4A/5E+7nDOSOGTgm7vYKR4C/FMO71rkPr8ebcr8h1UMkSSP7j8x7Tci99kDXecal31qa1bESNYQqxdd+oVgd171G6vfYVw77ir56+Fdjtjk75VsXl5TizA4AgPJGcB0AAKBMLfdvTLjdpAt4rwTNkH619V+SpNYkg9EWK9hOx3UgO6FeBNetLkvvt6/JdTkAUHIWta3W+CVf0tHLr3W7lD7FNE39sX6WpNgLqY4edLQkqcrIbYdBAAAAoFidu+qnmrLyJlUuvNDtUgqmYuEntaRjnSTp/h2zXa6mOFgXLlT0EMDsDb+Zmwu196kel9Z+42pj9/v3sn8n3O+qF65KeZyYjuuh0rvY3Aqu99Rx/YaTb5AkbWvdVpI/Z1+3oWmDJGn3wbtr/xH7Z3UsOq5nxgqa93RxSIW3Qveee6/8N3Sdt3R+vljBdxptAQCKDXPVAgAAlKltgfhOLpLUkaOB3L6m2dHBfn1ge8p97Y7rBNeBrAQdYb/rRqV3gnNzYKckaVy0qy0A9GWP7JwriYt5Ci2ort9fmwM7dd2oC7Wpc6cG1UySJIXEyUIAAAD0Dc83zXO7BBQB628kXx6C6x55FE7xN1bQDKX1uDeN/kxajzf9sOn65vPftNcHVA5IuF+TvynlcbwerwwZMmWWZHg33W7Q21u7zqU0+Zs0rB9jtqVo7a61WR+DjuuZSfc9Zqn0VurqY65Wk79Juw3ezd5ud1xnhloAQJGh4zoAAECZWtaRuOP6cO/AAldSHpzT2b7dujzlvnbHdToYAFmxgn3fGH6Wfjnui2ndx+rc9MutM/NVFgCUpDX+3k+Zjszcs/0/9rLHMPTLcV/UQ7tfY1/c2JsZRQAAAACgVL3cvFhSfoLrqULrf9vxsgYs+rReaJyfdB9r9saRFYPSerxKb6XGDhxrrz++9HHt6tgVs48zrJ2K1RU5EC69ZkPpdlwfVN31vJbiz9nXWcHyY8cfm/WxEnVcv3f+vVkft1zd9e5dkqRX172a9n3uOOsOPXD+AzHbrPco5ysBAMWG4DoAAECZ6u+tTrh9cXSaUmQmkEE3Ak+0cwQd14HsBO2uIun/6UonLwDoYjq+i3xu7W9drKRv+c7G++xlZ0jd7nIlulwBAAAAfdmFg49zu4SCmlw1RpK0M9hc0Me9bN0d8psBnbPqpwlvD5thu3FGheFL+7gzPx3bMOMfS/4Rs76oblFax6nwVkgqza7ToXDk79qeguvTD5tuL3eGOvNaE3LPem1aF1lkY1vrtrhtd7x9R9bHLVdrdkVmT9zQtCGr43g9kQuGCK4DAIoNwXUAAJBTs5sW6pCPrtL8tpVul9LnWYHPzww5yeVKysOc5kVp72t102QgCMiOFfbzKffdmACgnL3R8qEO+egq/Xbb0/a2plCbixX1XZ2OWXvouA4AAIC+LJhBY5ByNSw6G+rQMpwVtTXUoWOXXavp634Xd9szje9KkgZ5+xe6LEldszp2t9K/xV6uzCC4fuz4Y/XQ+Q/Z6998/ptqD7Tb6098+IS9fN4+5yU9jhUGdt632IXNsM559Bw1d0YuQrBCscmM7D9SAyoHSCK4XopyGVz/3EGfy/oYyJzdRCHM72AAQHEhuA4AAHLqzJU364P2tZr68c1ul9Ln2YFPw6uJlSPs7ZcNPc2tkkralxIMuCfjMei4DuRCUJl3XHfrBBgAFJOTV/xQH7Svjdn26SEnulNMH3f50NPtZa8ROaFPcB0AAAB9UUuodMK5uXLXhK/HrO9RNVqSFDBLr8N2T15uWax32lbooR0vJb1I4Xfbn81rDefUHpXR/n+uf8FeziS4LknPrXguZv2RDx6xlxv9jfby90/4ftJjNPmbJJVWx/WNTRv1/MfP2+tGdPbZVCq9lZIIrpeiXAbX69vqE243Tc6j5ZMVXKfRFgCg2BBcBwAAebEzVNgpHxHPGhz2yauh3gH29rWd8dPxIbc8IrgO5MKS9vWSJG8Gf7qeP+jofJUDACXhpab3FU7QTW6Ub3Dhi4EuHnK8vWydLJzH7FTIo+nrfidjwXla1Lba7VIAAEAf94W1v41ZDybpel3Orhjxf7pyxP/Z66cNPEiS9MjOuS5VlD+d4YC9bCYZF2/O88ULzeF2maapi1ffJmNB8k7nltaw317ONLjePYTtDJ//c+k/JUm/OP0XOn7C8UpmWM0wScmfr2IUCAVi1qt8VT3eZ2f7TknS8vrleakJ+ZPL4HqygPq2Vs5Z5lNXEwU6rgMAigvBdQAAgDJldSr2GV59ffhZ9vZXW5a6VVLZGOK4ECARq8sIHQyA7Izw1UqSNgQSd2NJ5Mzaw+1lpqAG0Bd9McksMYnC7Mg/j2P4tSPUIUmaXDXGrXJQ5gJmUA/teEmSdNiyq90tBgAA9Hndw9nl2GU8Hc6O1A/ueFGSFCrDv8+cTVzmtSa+WPebI85KuD1XXmlZoldblmrmrjfT2n9i5XB72ZPBjI+S9JkDPxOz3r8yfhbIZTuWpTyGFfoupfMIgXBscD2T5+3Cf16Y63KQZ1Zw3Qo/Z6OhoyHh9m8+/82sj43k6LgOAChWBNcBAADKVDA6COEzPDHBdWSmKdSmH29+NGZb3UF/SXkfeyCohDqlAMWoItrpaL/qCWnf5+zaI+zlQgzGNgRbdOPmR/RhtDs8ALhtY5KLfYKcoHKFYXSFVIZUDJFUWt30UFoC3S7aqw82uVQJAADoSx7a8aL+2fB6j/u51WBgjb9OxoLz9FzjewV5vP2j41gzJ/0g7rYdwfKdqdY5Ft4QarGXdzi+k84YeUHOH/fQmkkx683h9Lu6/2jzI5KkE/vvn/HjTttrWsz6tbOvjdtnV8eulMewziOEwqXTfMPZWV7KPPCP0pLLjuuTh062l9df3TWW/t7mwnw291VeT+SiA4LrAIBiw7dIAACAMmWdCPAZ3pjADDLzvU0P6Za6f8Rsq/RUpLyPJ9pFh1ASkBu+DE6AOD/tlnTkP0z+i7on9LO6f+rz3aa/BoBi01e7GxaTCiPyHdLPvwXypHsY7JYtj7lUCQAA6CvqAg2avu73umTNrxRyfBcxzfhx0e4X2RXKHku/Jkk6d9VPC/J41kXDIyoGSYrtuH7x4OMLUoMbnN9Fnct3bHvGXq7xVOb8cau7HdOXZgTG+Rp9vfXDjB+3X0W/mPXtbdsVCAVijnvWnqkbCpViJ+RAqPcd1/cetneuy0GeWRdV5CK4furup0qSJg2epBH9R9jbO4IdWR8byZXiBTIAgL6B4DoAAChrpmlqZsObWu2vc7uUgnMG1yXpoOrd3CynZN1b/9+Y9a8Mm9rjfazgejjBCRoA6evNxR/OqZa3BXblsJpY7WG/Ht35iu7e/rwkaWH76rw9FgDkwtON79jLT+16S0va17lYTXmzZgz54tAzYrdHL35c0bGp4DWhb+h+gcpd259XW9jvUjUAAKAvaAh2ddZ2BtODig/INYfS74RdyqzvZD554267fvTFhS6nYPxmV6C5JdwVRHXOUlht5D647lFs057WBN9/TxlwoJ5rfC/m72Bnvb1R6a3U0JqhMds6gh2qa+k6F3XpQZemPIbXKL1OyN07rls/QyqnTzpdkvTJfT+Zl5qQP82dkVkichFcP2W3U/T4xY/ruc8+F/O6qfHVZH3scvbqF1/N6v6leIEMAKBvILgOAADK2r8b39bFa27TntGuKn2JHVyPDpCfUXuIm+WUpK2BhrhtB9fs3uP97IEgMRAE5IKh9GeN8Dr+zK3qYXaEbHx344P63NrfqN3szNtjAECm1nduT3rbqy1LNb9tpd5qWaYLV9+q0z7+UQEr61usoMq0QUckvD3MrDzIk0RdTH9VN9OFSgAAQF/h/G77YccGeznR95LfbX8mblu+NYfaCv6Y1s9ekSDQO9ATCWj281QVtKZCcI7JLWhbZS/Xers6k+ej4/oR/SbHrF+69va4fT7q2KBzV/1UU1febG/bFWrN+rF3tu+MWV9Ut0i/fOOX9nr3ruzdlWKgNBDOvOP6yP4jJUlrd63NR0nII+tCjFx0RTcMQ58+4NPaf8T+Ma+b9mDfuKgpU9aFMcP7Dc/qONZFAiGXZj0BACAZgusAAKCsvd263O0SXLO6c6skyRcdAPrysClullOSNgd2xm3zpTEQa3V5aXThxAhQTqwOoZl0Xh/sG2Ave/P4J+/fd76St2MDQG9tSBFcl6TF7eu0pCPSYa4+2FSIkvok68LR7gGKmmhIZZhvYMFrQt8QTHAi+vfbn3OhEgAA0Fc4v384u1kn+l7yj52vFaQmp6YCd3k3TVMbA/WSumZicqqOBrc7u3WtLgf9PdX2srMJxbiKYZKkQd7+9s+fS78Y+4WY9e6zEEnStmCjJGmLY7w/F8H17hZvW6xmf6RD9X7D91OlN/XPa4V3SylQ2r3jejrB9Wpfddr7orgMqR4iSWoN5Pb94nwtWBc2IFYoHPlc8Hp6ntUglVK8QAYA0DfwzRAAAJS1ygSDw33FzF1vSuoalB3gGDhO1Ekc8XYEm+O2+dKY+jIU7bS+tGN9D3sCSOWxhsg0mP/a9Xav7n/VxvtyWU4MuuUCKEbOoEAiXnnsDn+S1FLgEEdfYX0X7N5FsavLFScLkR/W335OmcxcAwAAkKmf1T1uLzvHShKFhydUjihITU5ros1dCuX5pnn2sseIfA/7X/MH9rYqIzI7YFAhmWZ5jS2FHLOPPrnrDXvZei18JU+NdQZ4a3TXhK9nfL+1/q7XxuSqMTmppdpXbc/Cevkhl/e4vxVILaVA6ZbmLTHr6YRqDxxxoCTp7Y29G+OFezpDkdlG9x22b06Paxhdf6d+uP3DnB67XFgXtPg82Z3nJrgOAChWBNcBAEDemKapplCbGkOtWuffptZQ9lPJZco5DeXWQENJda7IhnMA4v32tZJiO7wQqO5Za6hDO0MtcdvTCa5bXZ73qRqX87qAvmh+28pe3e/99jU5rqRLWAz0Aig+A701KW9vCLVosLe/vU7X9dwLm2F7ppDu3xut4Hqi7pNALnSEO+O2ZTJzDQAAQKaejDZPkaRJlaPs5UCC77yXDDmxIDU5vdW6rKCP95cdL9nLtZ7IuQlr1itJqnD8jZAo3F/KnOdeRvkG28vB6BhaRRrj6r11+dDTM76Ps+P6c3vemJM6Rg8YbXckT6e7eCkGSq3u6ZZMOq6PGjCqhz1RbALhgCSpwluR82MP7zdcknTU2KNyfuxyYH2WeLP87LQuLrE6uAMAUCwIrgMAgLz5X/MHGvT+ZzT4/Uu1+9KvaMD7n9bOBB2s88nj6C43ZvEXNXXlzQV9fLc4TwwcWD1RUmz3+XCZdXPJtfpgkwa8/2ldsuZXcbd50/gKPcw3UFJslxkA5YXPUQDFqKeOfd/ZeJ8+6thor/vNQL5L6nM+9m+2l7t/b/RE1/mOiHxJFBBzhoYAAADyyfldONHsTuk0BMk154xTUs9/M2XLGeRPFNSu9HSFPzvK7O8x58xSzr8132v9WFL24ctUBnhrdOmQk9Pad0HbKgXNkC5de7sk6YyBh2if6vE5qeP/Hv0/PfLBI5IyC66XUqDUCtNa0vk5B1cPlkTH9VJkdVyv9Fbm/NiPXfSYJMkf8uf82OXA+lyg4zoAoFwRXAcAAHlzS91jcduc02IWgnNadFNmwR/fLc5uLTWeyIBSpWNwo7PMurnk2vON7yW9rT1BF8PuvNaAMwNBQE78cmzPU+s61RiRz70vDD0tH+VIkjrMnj8LAMAtqS60u6f+P/ZyR7i8ghLF4MmGrqCKr9sJfOtkIR3XkS+JunaeNehwFyoBAAB9kTOo7QxlV0fHadwYKz24ZveY9aAK913cmyDQa41ZSYlnyyllzgt0nX9r7lk1WpK0NbArr4//WMOrae33q63/0jZHLdnM2Ljkm0uS3mZ1OU7FCvOXUqC0+6zG6VyQ8Pr61/NVDvIsn8H1Km+VJKkjWPjZukuB3XE9jc+SVOwLZBiLAgAUGYLrAAAgZ7p3K3mt5cO4fR7c8WKhypFpmvrupgfjtv+ybqbGLf6ilrSvS3Cv8uAMpvfzRAZ/Khwd1xtCLQWvqZSk6v4zoXJ4j/f3Kjr1nmPAefq63+nIZTPKbgpYoBCOG7BvRvt/Ojr19N92vpyXTloPO6Z9BoBi8U7rcu314TckxX7v685U1+fi5sDOvNfV1zjDGt2/U1on9Lm4EfmS6KKIChW+sykA96zzb5NnwfkyFpwnY8F56uQiNaCsfH7NbzTmg8v1UfsGt0tJKOz4W8P6zjvaN0RfGT4lenvhvwffue2ZmPWWUP4Cki80zo9ZTxToNQzDvtC43C5odf6ds8y/Ua9Hzw9ZP+f+1RNcqau7/p6qmL+Z+3uqe32sA0YeIPPmxGOP6XQif3/r+5KkqY9M7XUNhda9O3w6P2f/yv75Kgd59r81/5MkVThmi8iVal/kvbdixwoFQnxndQqbYXv8LtuO66V4gQwAoG8guA4AAHImnS7e/2ma3+M+udKepBvuDzb/RZsDO/Xzun8WrJZCc4ajre4mzm4u4yt6Dl/3ZakGq6vTGKDzGJFO/87g0kM7XtL8tpV6qen97AsE+gjrc6vW0y+j+33UsdFezkco80vrfpfzYwJAti5cfau9nGhKeoszTBByIThS7pwnArt3vvdE10MK5+XCKiCQIPzE+xzoW36//dmYi9RW+De7WA2AXPt7wyuqCzbo8YbX3C4loUR/a3gNT9f3YBdCc0/seiNmfUseL969ZM2vY9Y90dlgX9rrpzHbrQtcg2X2Pa37986LV98mqevnTNUsJhduGv2ZtPar8VTa4/eStK5zW9aPfckBl8RtSyfQXYqcXZuPG3+cDMdzmczR4462l+muXVomDIpccNIWaMv5sfcetre9vKphVc6PX8qcF4ikM6tBKtZnEcF1AECxKc9vywAAwBXtYb/bJcTo6Y/w+mBTgSopvI2BHfbycF+tpEg3l8lVY9wqqaSkGkSvNnqeEtEKKVldhB7Z8bJ9m7PzEIDkgmbIvgBpRPRzLF0nDtgvHyUBQFFzBlZTnSBf07nVcR9mgsk153e97t8pnf8ubnSbRPmrCzbEbePvD6BvaQ61x6yn02QCQOkp1sBzTHDd7Aore63QXBF8L0k0S2yuNIVjg53WhUSnDzxELYf8U+HDnpbU9XeCFQBuCLbo7JU/1qM7X8lbbYXQ/cKErcFdkro6rnvzHOQ+e9Dhae03zFursONCYl8OZii69Yxb47ZlGzYtJoFQQMYthoxbDH3hqS9Iks6YdIZen/56WvcfVjPMXuYi7tIye9VsSdIx44/J+bEHVQ+yl/+78r85P34pc14gkm3HdWssqvtsCQAAuI3gOgAAyJltwUa3S4jRUz3FMFCeLx+0r7WXLxp8nL1cGZ0CMyQGKFJJddHD7pUje7y/NQhvDdZ/Yd0d9m1mGb/ugFz6Z0PXiY+qDKcidev3UVuRXcAFoG9xdvduDLWmdZ9ym5q+GEyo7JrZqPsFBM7gQpBOV8gD6+89pzDBEKBP6f6O7wgnno0QQGkrpuDncEezAWfHbTusLI/debwYur2u9G8p2GPVertmEOzvrbY7U9sd16PPx0/q/qEXmhboc2t/U7Da8iHZTD/Wa8GX5+D6kvb1MevdZ8CyDPfVxlxI/Jvx07N+7ETB0nLquP7i6hfjtlX7qtP+GQ8ceaC9HAxzUV2pcP6uGT1gdF4f6+r/Xp3X45eaZn+zvVxTUZPVsbyeyO+cYvgdDACAU/l8WwYAAK5LNC25m/zhQMrbl7SvK1Al+dcZDshYcJ6+sPa3kqTfb3tWUiRkfXC/SfZ+XhenZS0l89uST0s4tnJY0tssqZ7nnl6XhfS3HS/rwlW/0B+2Ped2KUAc5zS96cx04DTKN9heHr/kS7kqyTbEOyDh9s4ien8DKE7XbnxQxoLztNa/teedM5So03JPiu37ezloCLZIkvp7quNu8ziGYjtNfmcg96yLs/evnqDPDDlJkrSofbWbJQEooDX+Ot2/Y3bMtp2hFpeqAZBrxRRWdzq+/772ckzH9Wgw2Gt4upp8FLhTfCjB3zuZNhX5Zd1MPVA/u+cdu1l9wL2qSHBRodQ1dvx4w2uSpBUdmzM+fjFK9nPY3fdz0Nk8le5j8aMqBifcz2t4YpoafXvEOVk/dm+D669/KdK4Y1T/UVnXkE+bmjfFbbPCsOkY1q/rnArB9dIRcIx17zt83xR7Itec75OcdVxnDBAAUGQIrgMAgJx5rOFVt0uI4e8hDOIpo69CV228T5L0yM65kqRF7WskSWsdwU8pvhM4EvtJ3T+yur8nxcmYnl6XhfStDX/SU41v66qN96ql23TigNtu3vKYvVyZ4eDsgztiuwAt7dZxKVvJTnKu69ye08cBUF784YB+s+3fkqT9P7wi58ffsyrz7lcBkxPGufb9zX+RJLWGO+Juc3Zcn7nrrYLVhL7Dek/vVTVW/4gGoV5tWepmSQAK6NxVP4vbVh9scqESAPng7BBdTDM6OmcSctZojT/HdFwvcN2JLtTNpIaVHZv1g81/0VfW35XxY09K8ffZzlCkk+6NW/4uKf+dyAul+0yEh9fsKUkKyuq4nt/g+sE1u8es71U1NuF+QTOk5xvn2etWJ/xsJAqWphPs7lfRL+193fSj//0obps3g3/PmNnHCK6XDH+w6z1d5a1ysZK+x3qfVHoza+iTiPX+o+M6AKDYlMdfQQDK3mOLH9NbGzipC/fVBRr0h23PaVeQbkWJvNnyUY/7jKvouVt1rlgDwMn0pitlMgvbVumhHS+60vnmw/b1+nP9C/Z6qmmgrSD76s7cd/ksV8/scYM+3v9PunLE/2nZ/n9M6z7OjuvBbidIhjmmz02kMdSqu7Y9p7pA7l6fyThfK7tCrXl/vL7o2V3vylhwnp5vfM/tUkqOM0yZbGrfZBq6dRXcEtiZk5os4SSf9cV0YQqA4tPo+F3bbib/vtZbFww6NuP7dP+egvxynqxf1+0CUyAXZjZExs7yHQoCUJyWduT2gl0A8Z5seENzmxe78tjORiTFFFx3jt/EdlyP/K0R6bjujbu9EBL9vZNJDc5ZK/LVqXZ+20o90/huXo6day80zteExdP1UfuGhLfPapoXs251PLf+HfL9HbX7xdzjK4bp7X1+HbffzmBzzsfee9txvcJbIal4w9zXzblO5z12nra1xv/9mknY3jAM+3OgWH9WxGsPdjU7qvIRXC8k632Sbbd1qeuzaFfHrqyPBQBALhFcB1D05m+er8/+67M6/sHj3S4F0LmrfqqrNt6rr62/2+1SilI6U30ayr57Rbrmt62K23Z27RF5eazDl12j6et+r+e7Dc4WwgEfXRmzvu+H37KXzxh4SMxtVjj5ig1/yn9hZeLcwUdrcvVY/WHC17VP9fi07uOc/vZ3256Jua2nrgZfXvcHfXvjvZr68U29KzgDzvfsjmDqCz3QO+etjnS8O2fVT12upG/5ZLfw5qbAjpwef1xl4ouwCK4DSGVZx8aY9RUd8VNtZ6M33QsTdSBEdnxKfvLeOePTSN+gQpSDPmR7oFGzmxdKyvyiPwDlyx/mbxQgV1b76/SpNb/UaR/Hdx4uBOf3/eKJrceGw0OJOq4bzo7rhQ2uJ+643rsa8vW305HLZuTluPlw9qpbtDFQr/0/ip9BbGugQZu7NY74T9N8SV1d+fMdXO8eFPcaHh3Tf5+4/ZrC7UnH9nqrt8F1636BUPH9vn5n4zv69Zu/1rMrnk14e0N7ZuF/62cluF463t3UdVFNOq9n5E4ug+vWBTISXdcBAMXF9W8Xf/zjHzVp0iRVV1friCOO0GuvvZZ037lz58owjLj/li1bVsCKARTayp0r3S4BsM1ri7wen9j1hsuVFKcT+u8nSernib/y/qHdviNJGuitKVg9LaGOuG2VRuwf+VM+vlGL2lbn7DGXtK/L2bF6y9m98fpRF7tYSemaVDlKkvT9URf16v5WUKQ+2KSXmj+Iua2nCzxm7npTkrS4I7+vpbAZjunOlM6FJ8hM99k57tj6tCuzMpSDTC96emzS92LWh3oHxu3TFGrTP3a+qod2vKh1/sy63g5LcDxJak8x4wUAdJqxJ2dzfVFNwMz85G9LOP77MrJzzcjzJElTBh4ad5tzCvq2sD/udiAbOxwzjpky9cDEb0uSxlYMdaukktAYatWLTYvy1kUVcNuvtv5LO7lQHciJDZ31rj5+8XZcdwTXHTXaYWV5u5p8FDgwl+hvpExqcD7P6cxWVevpJ0l6dPfvpv0Y3d1X/9+S/F6SrCmKaZqa2xKZpcBX4GhKsnfJEG9/7V45MqePlShc6k0jqF/hiQRKGzryP/tqphZvSz27RGsgsxlcrQ7tBNdLR0cwMmaUz4ZkF+53Yd6OXcqs3wO5CK4Pq+m6UMcfZCwKAFA8XA2uP/7447r66qv1ox/9SAsXLtRJJ52ks88+W+vXp57OcPny5dqyZYv931577VWgigG4wXliF0Bxs8I4VwyfpsNq9rC3Xz70dO1dNTa6T+E6R3TvailJzzfGdkR/sfl9Hbbs6pwFRwrZUT4due4c0ldYIa7D++2Z9bG6vyYKfYImme4nWwr53uwrhnzw2Zj1GZsesC9MQH5VeSpi1ruHRSXp+5se1qVrb9f0db/X7ku/ktHx1we2S4oPgjkvHAKA7rp/Fj216+2cHj9VB8CBnsQXjy5IMEMRslMTvYh3r+jfP8lcu+mhQpSDPqrDDNjfU0b7hrhcTXE7ZcUPNWXlTbp7+yy3SwHyYnVnnb6w9g63ywDKgjPE7EZjAmen8GJqjBBU198hzhqtJhmxHdcLW/fC9viGNZnU4Pw3T6fjuvUzJ+ryna6vrb9bf9/5Sq/vXyjt3c6neJN0Y36z9SN7uSHUknCfXOn+vvjbzpcT7heWaf97HlIzKSeP7exobMmk47pUXO9rSVrdkLrh026DdsvoeHRcLz2doUiTltMnnZ63x/jEpE/Yy7s6duXtcUqN9T5J5wKYnlT5uprN+UME1wEAxcPV4Ppvf/tbffnLX9ZXvvIV7bfffrrzzjs1YcIE3XPPPSnvN3LkSI0ePdr+z+vN77RSANxVbH+oA0jOGuyrMHx6ao8fav/qCTqu/766ffx0u9N5fQG7PA3zxXfEdQ6kO9UHm3LymJ4iu9hm3+rxMes/H/t5e7kUO7cUyghfrSSpNknIqyfWrANVRkVcILzQJ2iSCXbrsE7Xz8L4y47/uV1CSerNhYxP79E1dXeiDlsf+7f0up5qo1KSVOOpjNk+wFPd62MCfdk7rcvVHGpzu4y86/5Z9NckJ9F7qznUbi8/u+eN2nzQw5IiM8i8tc+vNX3YJ+LuM9I3KKc1QGoOR/4diu3vApSvjZ316gwHYsbPdgSb5Iue4E72NzAi3m9fI0l6tAQCYihNq/xb1Bku/IXiZ9YeZi/PapqXYk8A6YoNMRc+eBnbcb14NDr+lnPWaI09ew2Pax3XnV3ATx1wUMY1OMPq6XRct14XviyDhr/f/py9vD3QWJR/Lzd1q8njiJ0cWN0VaP5nQ9fsxVVGfLg7l8JJZhR9fNJ1kqT9qydE9jPNnP1bWRJ1RU4nuD64erC9bIWEi8Wo/qNS3p4orJ+K9RxxXqp0BEKR77CZ/ltnYnPzZnt5R1tuZyYsZVZwPRcd1yscTX6sLvoAABSD7H/L9VJnZ6fmz5+vH/zgBzHbp06dqjffTN2F8LDDDlNHR4f2339/3XDDDTrttNOS7uv3++X3d4VwmpoiobRAIKBAgK6SSM56ffA6cd+CLQvs5UcWPaJLDrik5zsFg5J1kpjgO/JkZsPbOm/wMW6XUVQ6ogFdr+HT2MoRWrTfXfZtnWYkINgYapU/HEpr0C5bnRkMgG3o3KExFcOzfsywKQWK5HNn6sDD4mqZVnuMfrT5EUmSb+En1XnY026UVvSsjqg1nppe/Xtar7ywTL3Y/H7MbX4zlPYx8/laau/W2eSMj2/s1evBqrFYXvfFLiyeq3Ts6HYxUW+es7MHHa2pAw/T7OaFagsH4o7xXuvHvXqM5lCbVvg3SZL2q56oVf46+7af1T2hi4ecnHGtQF/2lx0v6qvr/yBJZf+9pK3b797GUKs6wsGcdE+SpEcbIqHLX4y9XGfWHikp9jn908Rvy5BHD+yYbW8LmGF+L+XYHdsiz/nmQEPMc5voeb5r2yx9fcTZBasN5Wdh2yods3yGzht0jH485nP29r2qxsnqWRPI4O+PvmZrYJe9XOWp5HlCzj3b+I4uWv0LnTPoaP3LcWFtvl00+AQ9uvv3VLXoAnsbr2+UimIeZ3LW1G6GZJiFPc3ud4bCZRbNc/RRxwZ7udPx94VVr0cemWbkfF2wwH9/LG6PzPJ+7qBjdHS/vTW3ZXFGNVy8+jZ7+U/1/9UPRn8q5f5B+9/Ik/IxvPLY3dkTMWQoYJpqCLZoj6Vf1XBfrVbsf29RzVAdMo2Yn/HRhtfs5QmVw7WkY50k6ffbn7W3D/HV5vXfP2TGPz8B09QnB5+gzsOe1jUb79WHHRsUMMPqCEdG8H3ypq7JMCLnnHuRFwiFQj3mDLxm13hAc3uzPNWu9p20tQfadfV/r069k5lZjsK6uGFL4xbtOSj7mW6Rf+2dkQvzfYYvb5mZKm9XN/AFmxdo4sCJeXmcUrO9OTLjq9fwJn3uM8kzVXmr5A/5Vd9Sr2FVzNQNAMifTL4zuBZcr6+vVygU0qhRsVdqjho1SnV1dQnvM2bMGN1777064ogj5Pf79be//U1nnHGG5s6dq5NPThwOuPXWW3XLLbfEbZ89e7b69euX/Q+Csjdnzhy3S+jz1mxZYy/fPPtmDVwX30E5oTFjIv9fJIN3KD8ztjwi36Cj3S6jqKyKdpBaY3g1q9t7753ATnv52XAw5grvfFmToPONz/ApmGD7K+GA6nv5eeHsEPGhGY772fMpnKJDzNLObXG1bOo24U4hay0lDeFId5P3DK929eI52hEdJA+bpk4YfILe2NXVWeatUIeq0zxmvv59AuFATFdWy7NZhOfmSPzOTcN28b5Lxyr/tpj13j5nDdHZPhaYQQ3rdozhVaPV5JgyOt3X/4r2rhOyhwydog0hv95viVyg8mHHev59gQxZoXWp/D8f30vQbfWZcEBVntycmK7yVMkf9qu1anzS5/LokRfFBNdXm6Gyf94Lyfnd/LXWjxM+t98c/03dszEy2+S1mx/ShOFnFaw+lJ8/1Ufez880vqNTRn3a3r5Jht6L/u3XyPs8qWWOGXjG9D+A5wk5d1t95NzCc43vFvT1VW/49J9u23h9l46QGUrrb9N09ytVxTjOtNBxIerz4YD6G5Up9s69RscY9KoCj0GnUuOpUXt01qHl0e8dgXBAb4UiXV0b5dHH0SY26wtc98borJjLAw0aosh47boMvhttCzbayzdteUQHj7o46b5hM2x3/J4rjwaleIxKT5X9nCUyut8+mmWa+qh9vVrDHWrt7NDT4U5Vegr7mkvlfzI00PEz/qLuCXt5U5KZRvwDDs7vv390FlXLKUNOiXm8ddEx+48VViA6/t9keJLXVFMT+e/119N6+Ot2v06/Wvsre33Lh1s0a+2slPdxzpr0/H+f1+CKwWk9Vr5t69zW4z4frPlAs2al/vmc6tvrJUmvvfWampbkZgZk5NfC7QslSTu37czo3zoTk0OT7eXb59yuylXF8znnpoVNked+Y/PGHp/7dPJM/lCk2et/X/6vVvVblX2BAAAk0daW/mxRrgXXLd2vDDZNM+nVwvvss4/22Wcfe/24447Thg0bdPvttycNrl9//fWaMWOGvd7U1KQJEyZo6tSpqq2tTXgfQIpcATJnzhxNmTJFFRX5D1ciuQt+cYG9vLp9taZNm9bznZqapCeekAYPlrhIBTly/qqfxKyv71ivaUXU4aIYXNv6oSTpQMMX99yYjhMpZxuGKgvw3P0zQah7z8rRWu7fGLd906439b2BB2b8GB+0r9VpK7pmkPnrlr/qtuFTNNyX/+8ZYTOsEYs/l/T2WsMT9++wyhN7QovXcLxFbau1IxCZkvAUw6dDe/EcbfZE7mPK1Ohut/1u/e90ZsVQfaL20B6Ps2/nVu1R1f0I2Xlk58uavu7OhLd9dckXtWC/32lsRfodFwKmqTmSpkiq4PXUo5HifZeO9xxdpy4ZcnKvn7OHDZ/ek9Svsy7uGDd0m5Xjqg+/psX73a0B3pqUxxzhOM7pvv66ea+fqHLh+fY2/n2B3iv398+zrUvjtp1qBjXEqM762G1hv/zhyEmob/TfW6OSPJctFYP0dcf6eJll/7wXUlO4a9bH7YHtMc+t9Z3phsEn2MH1Chk8/8jKlx0XyC7d8YK9PFohHRN9aW32b+Z1lkQ/sytUtbFlsaYZn3WxGpSjC5res5fPVvz5sHzZPcG4HJ8DpWFR22qd8fEPdcPoz+iaURck3e/vO+fqm+vv1pN7XK+ptYcXrsACKNZxpunr7tQjO1+2148Jt2uib0BBa1hndtrLDe2riud97RhfmSRTBwXqtefSr9jbRhge7R+9oG5Mgf/+uL0pMqPzWf330dhoeH5smjXsDDbHbUt1P2dH/LMNnwan2DdVaF2SWqPnnqav+YW97VQzoMFGVYp75VdTKDaAcpICGuv4GQ11BbCPrx6nD1o+iNl/t8qROteT/2jKbWO/qB9sfliSdE6/PWP+zV6OvgaGhlp0+7rbJUmjEvzOtLW1Sbt2SZ/6lJRGrmSapmnTM5v09yV/lyRdctYlGjVgVA/3kqqWRDohH3jcgTp45ME97l8I353z3R73OWC3A9I7Z29ZFPm/m1fdLP/1/qKaQQCJ/ePpf0ibpAnjJmT2b52pxZH/GzJ8SH4fp0SYpqkLbr1AknTC+BOSPieZ5Jn227ifPqr/SOZEU9OO5jkGAORPU1P6Fyi6FlwfPny4vF5vXHf1bdu2xXVhT+XYY4/VI488kvT2qqoqVVXF/xFXUVFBGBlp4bVSfNL69/D5urpx8IcvcuQ/TfPjthXT4Hkx2KtqrFb6t6g53Bb33JzQv+viM59hFOS5CykyaH5W7eGa17ZSD+/2HfX3VOvi1bdpxqjz9aPNXd8h/lj/vO6e+PVkh0rqOxv+pOZuA83P7HpLXx+R/86JO0KtcY/t9FHHhrjnuad1SFdv/LO93N9T0avnqCp6oYYpM6Yjv+WJXa/q7EGHJbzvnlWjtcof+Y78w80Pa+Ye12f8+Kn8aPNfk962M9Ss3297Wr8Z/+XMDmqaqijQ+7qUTKwcofWd22O2nT3ocJ6nNJjqet/8Yuzne/2cre6MdNEc5auNO0a425TMmwI79F7bck2tTfzetAx0TF9qKMznKpCly4eerr/s/J+kyCBVOZ+4HOiND6i3hFs10khzVrEUNjq6oY2tGCRPkudxsLdGpw88WP9rjoQIzASfY+i9gCNMJCX4nWCaqnGENVrCHTz/yMqOUFeg6sEdXV3WdgSbtKhtpb3O6yyxkGM2tiHe/jxPyKtO068BntQXyeZKdXQs46bRn9FP6v4hic+BUnHlhnvUHG7X9zc/pOtGfzLpfl9ad4ck6bxVP1Xo8H8XqLoCKsJxJmdoXZKaQy2qMEYWtAa/4yLJPSpHFc3zE3SMrxgy9Uq3wPKyjo06f7A1c61Z0LpHVgySFLnQt8KwZrpKr4buP4eU+rO01fG3wEBvVVY/58TK4aowDO10fNcLK+jqv/mKjg0x6/6wP6aekCO43y9BZ/jHdr+2IPV/bfhUO7i+KVAf85i+6GvA+X5OdA4lhmlGzjmnmRVY09g1i/jAmoFpndO2OiG3BFqKJpPwh/f+0OM+Ty1/So9WPNqr43eqUwMqCnvxDzI3pGaIJKnB31CQ1+ZnDvpM0bwH3OQPdv2+P2X3U3p8TtLJM21q3iQpMhszzzEAIJ8y+T2Tm7mIe6GyslJHHHFE3LQlc+bM0fHHH5/2cRYuXKgxY8bkujwAANLSEkrdGaOvCURP+u5XPT7utkpHQCOYIMjbk/pgk4wF58lYcF7a97Ee57xBR2vbQX/T/w06SqcOPEjbD35EPxz9aX168IkZ19HdG60fxW0LKb7Tez7cVjcz4/uYWU7Feff253XssmsTdpwpFz7H7ACVRu+u8/Soq+N6otf7i03vJ73vtkDXFLRL2tf36vGT+UXdP7UlsDPlPmEVxzTDpW7i4ulxoXVJWuPf6kI1pScYPdm1b9X4rGYdOLrf3pKkjgRTFAcTzMpx5sqbNW3lLSmP2ez43T/EywkWpO83W5/SMcuu1RstH2r/D6/Q1Rvuc7ukouCcpcZvJp5OvBzMbHhTd257Jm57ot8VibzVskz7f3iFHt7xUsLbl3V0zSjkMZIP9xmGoRcn/1SfGXKSJOmBHT1PJ4z0hRL8bunO+V1zQsXwfJaDPmz3ypF8r0/D++1r7eWObheeANnyd/sbpDdjYb1ljWWcGp1Z8IDqiQV7bGTHzPCzuzhiy9n52rq7ZCw4T3/b8XLPOxeRQAHf05bFjt9bbjx+Ms7Pt5AZVmc4GHN7XbBBnmgkoVDj5hZrPOj4AfvKa6SuYUPndvv8w65gi7wZxCi+sPa3mrLyJnu9ysguFPiXnf/TOStjZwBuCXdkdcxsmKap41dcF7PNbwZ03caHdNbKmxUyQzHPq/NvHkn6+djP67gB+xak1iEpZkLwJPjUPLr/3jl9/ANGHGAvV/nS65B/0MiDJEUCpaXEl0UH/Vkfz8phJciXl9ZExqCm7jE1r49z6u6nSpL6VfTL6+MUu8ueukyf/9fn7YtZJOmGk2/IybE/f9DnJUkdQfd+lwAA0J1rwXVJmjFjhu6//349+OCD+uijj3TNNddo/fr1+sY3viFJuv7663XZZZfZ+995553697//rY8//lhLly7V9ddfr5kzZ+rKK69060cAAPQR7Y5uJk4fOAaL0RUCrEgQ9h3g6eowudbRETJdX1nX1eEhUQfrRKwgvc/wxnTvtJZnjDrf3nZ4zZ4Z1+S227c9FbN+0oD9Y9aP6Rc/6DqhckRWj3nlhj/rnbYVuq3uyayOU8w8jq/Iw3w9TwGaiOEYBO80g3G3bwjUJ73vATVdJ5QzPWHZE+csA8mkE7hCz5L9Gw/y9u3B13RZn98V3U50ZaoqegIlURg2pMS/SxLNsOLUHu4KNe1TPS7mtkxOaqLvuXbTQ3q3bYVOXPEDfdSxQb/b/qzbJRWFGkcntq2BXe4VkmcXr7kt4fbmNC+E/cHmv+ijjg360rrfJbz9a+vvTrsWwzD0j4bX0t4f6UsnlOgMcZTzDANw17dGTNMnBh7idhlFzzkDTzlfPAV3NIZaY9aDBQxrXjIk0qjB+p1TyNA8smNkGEUvdAg4H+7bMVuSdFm0i3ypCCQY78u327f929XHTyRshmPGL0MKq58nPqxrBYbDBR53tH6/VxkV9phvOEljl+9tethe/kfDa2mPSdUHm/TIzrma55jtJhff859vmheznqgpQ6Gs6YxvxOEPB/TrbU/pv00L9b/mD2JeB93Hxx6ofzHvNSZSH2yKWbcu8nY297FmI8uVRn9XU5oqb3rB9Qpv5EKHQKi0vo+eMOGEjPa/6uir7OXX17+e63KQB+MGRsa+24P5beJmXQRRau+BXGr2N+tvH/xNf1/8d61p6Jq5Id0LYHpiHccZigcAwG2unlW/5JJLdOedd+onP/mJDj30UL366quaNWuWdtttN0nSli1btH59V5fJzs5OXXvttTr44IN10kkn6fXXX9fzzz+vCy+80K0fAUCeJeoM/Os3fu1CJejrkg0KbuhMHj7ti+ygeIKvGF7Dq8He/jH7ZWJ+2yp7+Zdb0+s0vqBttaTEQXpJOqb/PrpmZCS8vqB9lX6z9amE+/XGR+0bdOmaX+vDHHfMTuXVvWMDUV8bfmbcPlWeCi3aN3HgKRO/3vaULlt7hx7Z8bI+7tisi1ffpleal2R93GLQFGqzlxOdaEmHx0gdXE/FefLkY//mpPut9tfp06t/qddbPsy8wBQeStLJFelLNbNBWKZM09SMjQ/o82t+o9YQHS4S+cP25yRJzeHsBsWrjUgg9oWmBXG3Jeq4ng7rpOeeVaNVE/2MeHC3yImXqbWH9eqYKH/JPheynQmlHDgvmAomuaCk1KX6d073Z97smDGl2fFdxeKcQj5TZ358c8EDJOXKGR4b5RuccB9niCPdjvtAMpOr4mci/c+eN+vAmt00wjfIhYryJ2SG9M31f9R99f/N2TGdHbFfy/HfVeib/rLjJRkLztPfd87VX3b+L+a2QobHrVmrfIqELpf7N/XqOGEzrFNX/FDGgvP0buuKnNXXk4Vtq/Tp1b8s6JhasVjrCIemM3462jckn+XkVUe4U19am/0YpVvcaGjjDOE+tevtgj9+Is6Zn6TI8/JW67K4/Xrqdp4vLzVHZr2sNirs8do5zYvi9gubYT3uuLi3LexPOJa0o1sQWirc5/tHHRsK8jjddYQ7te+H34rbXhfcZS93b4TSfRYwb4pZwfKpewMR6wKKdsdMO6057mRf4enqtp/uBQwLtkRea2t3rc1pLfk2tGZoRvvfedaduvKoSEPKl9eW1iwbfZUVcj5w5IF5fRzrfVNqsw7kknNcznp/+Dy+lLMqZqLaF2ku98s3fqnOELONAQCKg+vt4L71rW9p7dq18vv9mj9/vk4++WT7tocfflhz586116+77jqtXLlS7e3t2rlzp1577TVNmzbNhaoBFMrbG+MH36578boEewL5lWzK6Hamko5hDdImC4oPigbXMw3ySrEB4nS6RkvSpKqRkqSGYEvSfcZUdJ3guXbTQxnXlczUlTfrHw2v6eQV1+fsmKl8ffhZcduSPc//z955xzlRvGH8SXK933GFckeHozcp+lNs2AsWLKiIDRXBAiIqggVRehG7IgioiAhSRanSBaQd5SjH9d57Tfv9kcxmdnZ2s8nlCprv58OHbMlmL9mdnXnneZ+3jVcL4TVbuloJVnT1Q9FfeDJ1ESZnfo91JYdknUSvNMIpl3UPJ4NCYsd1x4Jt7MRkrr6Yu987WT/g15KDeCR5ruMnqEBFPYXCbpSdegxmI5LqcrAobyN+Kt6LvyrONOKZXTlsKj0KwLkKHTRKk0/OVhcgwnVakOhlfe41F8czN82Py7XZ3PVud1fxJH9zKnfvSo5WyQu91P7NdP/6o5w1ku19fTs4dE79fTsKr7eXn0RcdbLC3m7UQl/Pb7ccwd3H7bLuxpXQ41lCpGcIAAgjkn9LRZg/y07g64I/HaowYY8a93PYjYt52loZZVTKQrxJOfcCDT9WoKtF+loTeOnPTKmVuuXa42x1KvZWWEwK7kmcUc8zVM8LaV/g15KDeDHty0b7zObCAD9bRcjDlRft7p9j4MeMrgS+yv8Dy4uuXPOEl9K/avTPpO/p5pL0e8flD0TLYboAfFXwh2Q/e27nDUGRwZbc2847UoiDh+oCJPuyYnYzzNyknwW5GyTrUjhu5PZ4IvQG7voHgq+Wfc/DyXMc/hxXsLfiLPcZlm+wOYuzwvThwYNFy29GNa4JYaQ1gXN48BDRelcJQJUwmJx/3o/bKk0QaAqKq9U9W4qqi+zvRKHRaNDCzzI3FeIT4uhpuWkCagyW2Lra6gHOQhzX63P/XOnQov3Pj34OwLXfBz1nueXSFpcd140bN27cuKkP/46otRs3bv61FNfwB8dVeqnDnJvmRbmxCu9nrcJxqjzilUyNSSxQtwVaTcL2j7PX4JTV4fu/ChHeeMiU0Uy1ChALDY45Qn6atxmXnHCHIr9Ta0955wcvRmSfrVcfbDvMcY8hx8jQW9z4C+vhfqmEkRE5LYx+TrIPPdlFE6D1EV47Ipijy33S/FOVAEBaevNKJUBn+X5ejrgbOpUlYVm0VBDopEy7QE8qEzLrCnGyWrx/rczkNpnApK/ZMmMVPshahTNN4Pp0qioJUzJXIEdGaP9fgriFA8CuLjNwotsijAq7EQDwQ9EefJ7/u7C97j/sItIYEAf0f6oSsLPslGibs45YZ6pTAQD5VJtHniXOJGb9m/ir/DQW5W50u4hzkBMFu92WxaJ+Vz1Dfi0+gHezfkS2vggfZq/GRcYFsLFhExe6eUcLQvS3MpejRCHJkkBXNMqsK5RsJ32PceHqDB5Wtp8oWv63V5I6XnUZM3PWNPhzl06KejniHlXvydOX4IOsVUittSVrnahKhNfJB/GXi8vWu/l38ULq51yXcCJUJ+NyI0z/imdzYm2O8LqKM5Zyhos14jiDu/pE07Cx5DDm567/V1ynSjR0gl41FbsM0PkCACqpe+WL/K34rmC7Y8ekDDtogWJDc8waTz5Q2fwrIXxXsB1hcY8jT1/ikuP18IkRXq8s/He70WbqpX1aALgv8UPcf+p+ZPzL+6fOkOVA3Lqh+bbgT2hODEe6Xvw7ycWPibC5MZ3qv6YE9Ff5dcYg/y4AgKS6HEzN/EEUFyoxVIreu6P8FFdkP5tTCXZL6TGHz41U7mNZ2/FtLOLE+ZsSNXELLSM5GezfVbT8XItbXXpO9rjY4yv8E7tAUhmRjtk3FDe1v6nBP6MhmbF3BsLmiufTVo9YLbyeNnSa8Lp9SHuHj9/Qzt1uXEeVvkqoBkDcuhsKT53Fcf3b499i0d+L/vXjAh60SD2x2FKB/MHurkv6GR47XHhdUWc/DunGjRs3btw0Bm7huhs3bpo1/p7+3PXrz69v5DNx4yif5G3Chzmr8UiSa52Am4oyo9iBmDhGkEmn2TlrMS37R/S/MKGxT61ZQZxePO2IfSc76Gz+WsYSyTo1gQsiHFE6H9pdGwBan3la9Xldc5FfAYLngulqvmHKo9OO9ASe+x4g/j4ccfwyyU08/Mu6lOS+7uPb3ulj0O4tQUxJUsLxqkTJuns5DmZyrvi8325h7gZMz1mNkcnz1J6qy3giZR5m567DO1krG/2zmxsbS48Ir9t7RaG/XyehfHdqXR4+ydskbG/sEslXGu28Iuv1frptvPXye6JtSt+9kmjp/exVAICE2ixhnadbuA4AuDlhGl7PXIptnHLa/3XknNF+LNrTuCfSDKHdp5+xupTWB6PZiEeS5+KjnDVofeZpvJ+9Cr3iX6n3cevDkymLRMt3BV+FYYF9AFgqS3yRv9XuMVpQfdZQD6lDYLHRMunU0uq0bA+2DyxXFeDfwsALr2Nq1o+i5LKGgIyHIj2CZZN5WaZkrcT0nNWiMc9VFyZCbzbg5oRpCu90818mrS4fSwr5AlRy7dHXoOlf0Ock7RwAfF+4s0E+w9nERjf14/6kmZic+T32VZxr6lNpUP5s4D4yMd3QQSvc/+28IoTt8/PW4/m0zx0SWLP3RJGDRhT/BZ5P+xzFxgrZGKGj0Elw38m08/9WtNDCZDbhj7LjAICO55qXeLc54qpELmeQq4hQw4lj9vXtIJyrt9azQc+LkK8vFaq2+lirUNAGNjNzfxUliWqZqkjbyk5yq/DyhPkfOzEX4KX1lCQdX+XXGVqNFhMi73P4eA1JuZFfnbPMaDMY430vZM7gk+gxjV51KsQjAAOtiQqic+I4rqtN/lZLv5b9XHq8xsRoMuK9PeL4abvgdni016PC8hN9nhBe/y/mfw5/hpfOcj/+l521rxRe2WqLpUX61y9Gb4/SGkuC5D9Z/+D17a/jQNqBBv285gjvnmgf3N5lx28T1EZ4Te5DN27cuHHjpqn5d6mM3Lhx86/i13O/YsK2CdxtKSUpjXouzYFP8jaiV/zLDeLoXWvS46Gk2dhTfsYlxysxVOA9q6grqS7Hzt5XBuwkLwlyjk3/Enn6Emy1BtT/6xDHFHsijXM1afW+3tSUQyX78AKShBEhjgfXAMdckl11b9GoqWYQQ01Q0ug0OsEFxRGRpZxjDuuscyVTbqzC5tKjAGxCVGegQ/G+WksQaHX7yVja1hbs400usW7rAL/c7ImqRJHLUqXRUrJxl3XCJb4mXfW5bus8XbQc4xmu+r0AcKDiHBakLBBEvN8X7kKpsVJ2/9k5a/FGxrIGL5PeUFSbavF53hZ8lb9VUo2DB7nH5P5eo9vVUZHVHd6o1/vZqhp00pPSd++oaIl8jlyFhf8Cp6tsjuIJtdlIrM3GT0V73FUF7PBfTXYwmo14LvVT7C6PE0QEgEXELcdf5acRV8V3rqfhuZmq6Tc2JGwfanzE3aLENDVjplgf2wTTID/xBLzRbBS+u2v8u6k6p5ZMgqPSd38lU2KowPLCXcJyXAM7PJLnhyNVe5ZZBbh04hvN86mfS6qGuHGjNB700Igd1wHA8C/oc9ZRE/lKf/+JqkTsLT+r6ph0IiIAGP4FAv8rmcvM79FcMZlNWFt8EOmMA609UXdDV2kkFfV8tLa+VQ/ftpL9SMxDDWy/ihYpuhHjqhg4m2DNG0/l623u90P8ukq2XynkGkpEyyaYrrgEoo0lh5FQ41zbZTKb8GvxAZy1VnVzBhIPbE6wCbEdvKKwv+ssdPCKAgCcdyBmWR/ohFUiQGdjvbQgW8Nx4ibVLu8LHiJa76qY5rzoZ7C07StI6fkdvm07Hr90mKy4/4vhd7jkc+1RZCjHL0X7UW2qhclswobSw9z96O+PF+e+3PMbLG/3GsZFuFYYXh94juszWj/B2dN5hkQPwdqH1+LkiydVv+fpfk8Lr6v11fj13K9IL22ce4WmxiBtU/Y9sw8AcHTMUWwcuRHdwrsh4ZUErLx/JUb1GeXwZ3hoLfehW7jePNEb9Xj1j1fx+6XfsezUMmF9z8ieDfq5bYPFfdb0ssa//psa3j3hyqSf6KBo4XVZ7b+jerYbN27cuLnycQvX3bhx0yw5kX0Cj6x9BKdyTnG3J5fYFyz8mzhRlYiJGUtxriatQRy9B1+chHUlh3BTwlSXHO++pI9dcpzmBCsqooXsUWdG45+qhMY+pWbHSco9Wo0QU+31Rk/G0KgpsUzOQ0lIT0/oOQLreK7ETQlTUWxwbem1jDp+OV1vjTrXGiKydKRUdUOXtW4OfJj9i/DaXuUAJejyqEQk0sozFM+G3ypMKqoRPQPA/NwNknVXXZgoWp5jLVOrlKQh58LU3Scau7rYnN5beASqOi/CzQnvYH/JftG6x5MXcPdNrM3GlKyVWJC3AauL9nP3ae7My12PVzK+xbj0rzHN6tykBHH8/jz/d+52t+O6FCPV1nTxbl2vY7HC9aNVl4TXShPijoqWSHtBxCL/RfpeeE14na0vwj2XZ2BUykJBkPlfRq5yBvDfdXZ9NvVTLCvciWEJ76qa9E+ry8fNCdPQj7rO5LgSvtMgnR/+qjgjWrYH/Xexpdo3lNgEz2qOxWN7mfpJ9SuJqVk/ipz8GzphTBh/2Am5Dgvsq/qY3xVul1QNceNmdMonstvI+FcnGpM0/7bRHrTjeqmCePaqCxNxY8I7yNEX2z1mYq1YaPpv+J6uNOjE0kwqObs5s6HkMB5OnoNHmUpnEzK+U3xfVgP/fcTlmI0LRTPJ6WPSPkeJyhgVe0/U/IfHOzwaQjTM9lWWFu6Q7PNy+jfCa7nqiFcCvP5nc73G5Cp/3p80E3dc/sCpY24rO4lHkudi6KW3nT4vniN4U3OhNkN4vaPzh0jqtQSBOr9GdYdPqc3FjJxfJOtZ53A69sPGj2hejrhbtJxV55r23E/rjWfDb0U770g8H347Onm34u73cMi1AOoXq3aE2y+/j5Ep8/BO1g9YVbQX+yviuftVU7Htx1OkseD23lF4qsWwepnDuJoDFecl68IcjIWrYUSPEQ45r/eJ7GN775oReGTtI3j8t8ddfl72qDNK2xQiKB7UZhCGxw4HAHQO64wn+z4pqjqrFpLk7RauN0+m7p6Kz45+hnt+vqdRP7d9SHvRsiNmAP8Wdifvlqxz5h5TYliHYQAsOhw3bty4ceOmOeAWrrtx46ZZci5PuTQsz/3gSqLcWIUTVYmyAU+WT/M2i5ZNLp5sP+1i1zm2tK+SWOdKgRbsbun0LqpUCk7/SxyjHM8CdD7cfVp6hHLXK1Fg4Gd+q3FwFRwP7XR5fm5vc/Sd1vIR4bXJbMKxygSuwPjT/M2SdUqk1OUiripZ9X1vD3rS/s/OHwivea4hPMh344gTrqvE9wWGMiTXNs9qDPPz1guvPeB8cIx2QrA5b1quQxKsrzSJJzjNZjNa6KSBcjXl0slkDC06Z4WArAPUinYT8Gn0C4jxisBNAX1wQ0Av6/nW/xmztewYd/2xSls7caUm/LxvrSgCAF8V/GF3/7bWygdyAnWTi9qEfxP0NVjfyS32/UTAdK46DWUmecETT0hbbqzCscoEBGh9AQCPhV4vbOvt21547ap2nj2fU1VJDXJsV8CeV4xXuDBZvSBvw7+iL1gf2PaeRm82Iq4qWfE7Sq/LR/YVIuSSw2Q24VRVkpCYsrLoL2GbPdf5KlMt1hSrLxFM95EagiJDOQ5UxNdrTMYKDkJ1AXbfc64mTXh9qTYLxyoThHsvntpmr/IRzd4uM4XXwTp/1e+7kviyYKtoeVXxXhyxOic6S3x1GjJlkkjVVHwCgI9b853pKozVqGAENQRXxwHcND45+mIcrbyEgxXx9a5IUmHiXyeAbRwjclxXqDxRbarFmeqUZtvPIER6BAuvO3q15O5D3yc7yk6hUCaeQAjS+YqWm7NwPbOuEBtKDjf738lR6HFSoNZXYc/mw+bSfwAAf1deQKGhDLvL41Bn0uMHqn8DAP5acWzsliD1SUvOQJJovbVi4Tqvb1Su0IbQFDHvLWmgfpbRbMSpqiQUGspwQEYg2RzJYxzD60OdSY+4qmRJ7GApJxF4TYmtb3wlV3Fr5xUpWfd35QXRMpuw2VSw1VhpnHXbJ334EoWqhTS8GHl1E81RqH0W0e1Rqcn2dzZ0vzaumm98VWQUV8YgY/ViQ4XitdbBOwobOr4jLFcojPEBYHH082pPVRa6ImZPa/WMxuqnkHmeL/O3YnfFaWF9D58YTGv5CEaGDgUAnK2xVQug4x5fxIxtlPN0hv0q4uxNQWmtzbzpj8uWePOBtAO4UHBB7i0NQq2x4RNMaMf1rPIsZJRl2HmHm8Zk3qF5knXP9nu2wT/Xx0Pcb9Zp/3vC9QNp0tinq/Uw/l6W2F98/pXT33bjxo0bN/9u3MJ1N27cNEuMdgIwR7PUlzRtjjyUNAdXXZiIP8vsZ7Qm1mZjRZE4y1ZOyOsMahyo6sudTrqONCfqrJM/PX3a4u7gQfC3Oui6sUG7CcsJZq4N6O7wceXcaxOYsqM8yGSPPQHPyLDrMTrsJgBi0c6ywp0YdHESXkn/VvIetuypPQZcmIh+F17DjvJTDr1PDlr0e3vQAOH11f6xAOwnCRDhwkpmYlWJRXkbHTlFWSJOj0LHcy80SvvjCPHVaaJldrLXEegEAvJdExf2A5WWoBDrRPN35QUUWidQ5rd5Br91nALA4p5ET54kylx7aXX5CNLaXFYnMm5vrEvt6BY345VIi3OGRqPB9FYWF5eGnAQZmWILfNIle69UeG5R9OSdj8Z+RQe347oUWjTuiACTB+s2WGs24EJNBnqdf9nOOUjvgweTZmHQxUmCUKyvbwfu5zTEbzo6ZRH6X5iABXkbXH5sV/AR42Q2Lv1r4fXl2my8lrGksU+pWaHkKP5ryUH0u/CayDWRpsJYjbZnn0PrM09f0aLVqVk/oP+FCXg1XXot2KvoMuTCG5ic+b2wbG+seE/iDMXt9eXGS+9g6KW3HU5ipGHd/Ow9e/+pTBDK1APAD0V/YdDFSVhpHSfSE1lqkxgB4PrAXkICpKvK3V8JXH1xMlJr85x676WaTPQ8/zJ6xI/nfmdqKj4BQIhMokD3+PGIOP0kd9usnLUOnq2b5oTZbEbf869iyMU3cN2ltzE5c7nTx7LXDmqtSbQeGnWO68MS3kWf86/it5K/nT6nxoB+XsgJ8en4wejURQg/zU8Sse0vvo9Z4XFzIvrsM3ggaSa+kKnkdKVCX5vmK8Q5mjZr6Hd+AoYlvIu3slZI9mvpGSJabugqdoJwnelnxHq3keyrVuz8aPJc0fK0rJ+cPDtlXstYgv4XJiD89Kh6uU83NoWGcvs7qeTh5Dnod+E1fMtUeGT7G1lM8tyJ6kRcqfhx4uuse3m7s881i6Si9LoCxe3O9KXpv581m+ARwXmmrS857PDnuoJVxXtV7UfHSgKo5KR8A7/Cqqt4iqq4RMMmDD+b+ikAy3f7SoY0/k8I0fnjvpCr0cozDID49+ZVXrjKr5PD58wyq81o4TVJSmzsRBU2yXxYYF/MaD0KvtYKtptKpfO0gVpfjIu4q1HOzxl6+bZr6lPgcrGQn1zd/YvuKKhSbn9cSWEVP0HblRDheo2hBm0WtkHMohjUGFxfwcSN4+iN/LnYKUOnNPhn+3mKqweS6+S/RICX1NRC72IzmMGtBwMA9qftb/TEGDdu3Lhx44aHW7juxo2bZoHRZES13ub00iZQGlD/6u6vhNfRQdEwm82orKtERV0FKuoquCXMmiNmsxnbyy1lMNVMiJ2okgafyxRKIjsK7c4H1N8llPf+vyrO1OuYTUWFsRo1pjqUGitRZy1bR9wRJ0c92JSn1qioLXtLO/fLOZw7M6EjV/JUjeiZ/G72HA9F76Emuufm/gYA+K5wOxJqskTO6846gbETUM4i5wb+acwLuCNoAFZ1mKTqOJ/kbVL9mfbcZBxFzv2mqWDdXG8K7O30sUTCdesEm1ajLCSjy9QbzSZEUI6CF2psziOHKvgBpcTabIR42ERQX+TbHEZZccu57p9L3k+ELUXGcpcmSMkRxnGXvxJhn3v0pM6uLjbxpNzfa0949F8kQ2+bJKlvGeReVlcqQrGhAhdr5J18iPiTNzG+szxOtEzvwwrD5Nxyy4xV3Coe9lhdvB+A7bnUnDCajXiPqkTA45uCPxvpbPjk6IubVPSt5ChOnNS/K9zO3U4LJBpa7NSQzM5dB8Dmfj00oIewTck1GBC7uAH2HdpdUU3KaDai2lTLvZfPWM9nV9lpyTY5SGl3AJja8hH4ar1Fbuf2hC5yjvP0s57gaPIMaWftfa/OYjKbVI8nGpPUujwUGcqRUVfg0Bg4odYiKiozVSFfXyppW0jVEHsVn+QqimToC2THP9Oyf1R9nk2JyWxyaczi34IRJuRRIq36JL9UcpInacgVrYU64Tpxt11auAMlhgokNdPqWHQ7xbablriN3q6wkIVt5ycwyb/NESVhHQDk6UtQ3gj3oKsqsjUHQaoj5OtL0dPHNsbI0FuuuX3l5ySVAPL1lnE1id+QGBWN2WxGnr7EJedGKviwybtnmL4U4Pz33lA1UHl9misBeuwKOB9XrzTWcAWgAJDPxGdOycTSzGbzFff8VRuvPVaVwDUOYCGxrGx9keyY3FkOVp4XXi9r96pkO69NrDTWqL4mnHVtLzNWNUk7yotN0G0jgRZwt/K0may4Mumj0FAmqWBWKuNiT6pNstgbQ7XwCALAHzvxnNrrWz0QAB4NHYpRYTfi65hxQlKsUgWdhsKLeqaQZAv2OUPjir+9IZnVerT9nZoApZhVVrn9xJb6UlxtmWurNojbzq/v/pq3e70gguScClu7Rz7fTdNSqee3nZ1C65+MY4/7Yu8TLf8Xheu3dLxFsi46KNqln9EywDZe2ZW0y6XHduPGjRs3bpzBLVx348ZNs+DaZdcieHYwSmssk3i8cmRjB47FyvtXArAI3Z/47QkEzApA4KxABM4KRJ+v+lwRLoS0m+LRqkt2999QckSyzpX+Q8MS3hUtl5nqF+B+Me2Ler2/uXCiKhGBcY/C99RDiDo9Wpg8IIG3Qf5dmvL0Go1fiw8gIO4RzM9d79D75CYTWMd1NcH7r/L/4K6fkrXS7nsv1FrEifaEIwCwpvggAGBq1o+CkJQIUwCga/xY+J56SJgMUFtWmaW+7sEEuUB1L992+KPzB7gpsI+q4zgibiKuLq2t7jLOQJdqZycVmhvBMk6YatBoaOG6OgET7Q7YzitS5MZKlzF9Pk0qOgcsDrNyiQis2LGHr3QyiVybeYZSRJwehbk56xTPFwCKHJhoIuJM4b3GcpxxgbiwMeH1M66+OFm0TP+OA6gJOjn3QLfjuphbE95F9/hxwrKa9lsJHdPmjk3/UlYQANjug3IVk9zdfGyBY7pt/6v8DELiHsOH2atF+6fV5aPl6dHofO5Fp8TrAOCjMDnYVHicfKCpT0GRFYW70OrMU9CdvL/JzqE+guBESsBwpQm7lNhfYStJu8/BUt2uLpPLY/CFN+B36mEExj2KZQU7uPuodYU9UBGPX0ss/cznW9yGj1pbnBKvD+yFNyIt94/BzjiWFe8TSNtD91kdhQgRGkq4PjzxI7Q5+0yjJMU5wgNJs9Di9BOIOfssusS/qPp9tMthm7PP4MaEd0Tb063CFXtCLFeNCZojDyfPQeTpJxUTxf6LuLKqgb1xFEmi1Wg0Ql+qVEbMSAu7TlenIPT04+h07gW8kMofczQldDtFt5sJNVmIOj0a3qdGIDb+JdXHM5qNV0xfXK3wcX7uekSdGY2guJHIrGs4x8ypmT8g7PTjWFWkznFXCfr50Nwd1w9XXkDkmSfxUvpXkm1ajUZSUYXEWEn8hpeA9EbmMkSdGY2FuRvqfX43WJ9JF2szReuvD+gp2dfg5LXfEG6/zo6NmprvC3figaSZonXOtPWFhjIExD0iu52NpWwvOynZp9akx+Mp8xFxehTOV6c7fA5NhdrxzTUX34T/qYcVxegzslcj4vQodD83Dq3PPI3AuEdFMcj6srf8rPC6h0+MZDtbWTejrgCRZ57EE0y1RUKNqU5UqYx1mrfHjQEWs42Zub+KYiiNBS9Z+OWIuyXr6JgM7TDvqrFtcm0Owk+Pgs+pEaqelRqOqcjpKnEyyB1UZVMW0s4rJdMBjpnoyOGh0eGH9q/jxYg7BLMEe+NGV0E704dbRfuALTlBSbheZHRdUkJD0MNXev82B1i3aZqGNm375PAnCJsbhsWHF0s+68WB6sfKaiGC5Io6W8JPXqVzFdHcuBajid8289pOVxMTHIM7Ot8hLBs4CZ//ds7kSk0Ao/yjXPoZseGxwmud9t8bl3Ljxo0bN1cObuG6GzdumgVHMo9Ab9Jjd7Kl1LlcWTAyoDWYDPj57M+ibRcLL6K8tnkHRQCbyyAAXO0Xq7CnBQ9OkKshJ3Jy6+nys0TGLfJKY2bOr8LrWrNemPRJqbMFUNjSkv9GRqUsBABMzvzeoffJuaawk1FqBDIrqcoEg/264sGQawBAMiHII8QqPPanyjjLQTsbyk3qA6j35G93H9dkyPfz7eCS44wPV1+6k0wq1EdIGl9jm0CLYspmNzU31sNhnYXvuK78vdH3x30hQ0QTwvR3TgujadiEEfoaUTN5yv6uvFLnLJdrs+3uQ/g0T+oquaTgynpmVHKqDrBJaPTvSE/kFBv5joSNXea3ucO6mtu7b5whTiZhIkwXKNwratzc/KlJV/r+eSNzGYww4X3GhfxcdRqqzXXI1Bciw0E3UILc/e9GnqdlSoQ3JvVxSqfFFq4UPTY1vhovp9/bGML1E9W2qlfPpX3G3UftiIyuoJXKuPGRsZ6931bOPbOzdysAQBvPFsI6R/uIxDWwoa6v38uOodRYid9KDjXI8Z2FFlQkOuAuzbbDdBIGYBOpnLcj2o6mfrN/G7+V/I1asx6rivY19ak0K1iBVifvljJ72sdef4BuE4gwW656Fl3ZKZNyDm6OsR29jEjsWFWCU32kEo4b66Lo55w7uQZGrhIDCx27WVVcf1G5HDNzLTEzNYYC9thGiXCbt2wdGJ74sew2LbTQw/Fn6cK8jQCAGTm/OH1e9uD1u5wVjTaE26+jlRKaC8+mfipZ50y//4/S4w7tv5JTwTVHX4zVxftRZzZgZdFuh8+hqXD0+1Lqs5EqYMTEBAC2lP7j3IlxoJ+LPpx7iq6qAgDLC3ehylSLn4v5/aGz1fzEVDlYUbY35UTrSGyuISExezkG+dmMgPQuaksWUQYeSn2BqS3lk0M+ylkjWqYF9izE1Ijuh/hy9i8x8F2LnUVwXG+kZHZ6/rGjl000SfqKPlrnx/NNTUuPUNHyQyH/a6IzEfPxzfJ9DL2xYWOBE7dNBABM2j5J9FmvX/16g3xe7yjpHExuZW6DfJYbx+BVhn2yz5NNcCYNf903R7w9pM8TntFjfaBjqsHewQp7unHjxo0bN42DW7juxo2bZsWDax6EZroGD//6MHc7Ea7vSuaXL3J1B76hOaLCcZ0XjJYTv7mCK9XlxtWwyQG7y08DAK7ztzmGz25jKStIu07Qr/8NyAnLz1Wnof3ZMfhSppSvXAZ+X0ZIY+I4PJnNZmhODIfmxHCJM+ORbvMxziq0ZgO1J6oS0f7sGPxMOX4RF5IQB52zlQRR9RX1fFuwTbS8pvgA2p8dg2OVCcK6EkOF8B2wExNVplr0Pf+qUBp4cydx1QS1jA23uBdkG9SXYSQTlEquMbvK4mS3AcA/1N/5SrpyifPGhv7dX4+8T2FPx45F7iOe4L+aEseSku/DAvvCR+slmhAmky+OlGM/VZ0s3ENFKt7Hc/48VHGes6cNRyZEZ+dKHdw/y9+CyzUNV+7UbDZjRNIsdDr7AnL1xXgjYxm6nxuHEifL2iu1iQQiCvLWeKpyIzG5UJ7xRsYyaE4Mx+QMx5KNmivvtnzUJcdhRZzHqy5z9xtMVVOhE9gAvpCdTr6h7x+2lDuhjppE7RI/Frl6de0v3TdT4wTfmLi6/LqrSanlT3ydr04XnrOdz72A9mfHSJyBS42V6BE/Hu9k1l+Qdb5Gnesh+8w/X50uEt7/WxIXBl54HdUqBXg8nHVxVutWq5atZccw4PwERefj1UX78FrGEmGZToIFbG3H4vzNeD1jKfcYZrMZhyovcLddrMlEqbESs3LXAgBGhg6VVJqwB0kGZc9NLW9mfK/q2drcE7U0J4ZjQ8lhoW34Iv937n7xnPv54+w1eCRpDgZfmITXMr4DALT1ilD8PDoxixVP1AfdifuhOTHcoao2vxUfQvuzY3Ck8mK9Pz+NSs5whdPkv4mguJGi5cTaHIeqBj6ZshA948ej3FilKFAL1vmL+qAxnuEAgMeT53P3d1Qw2ZTsqbC53dJiR3utu1z7T/r2WmhxV9BAAECILgCvpS9B7/hXmlU/J4EZM7U7+xziGIdYlupGiO+l1eXjz3peQ9VmWz/bUdOExiClNld4NngqPGOPVl1SlQi1mBJZrqYSfGpNetx46R1oTgzH25n2k8gBcexIc2K47H6+HIGhGvFjHaeP46zbLzlH3vg/XZ/PeceViTMVbLy0jlXV4vWp6Filpwqjj+bC39Y+7i8d3lS1f61Zj/7nX0Of+FdUJZurMT1xBh/Ob8beU/Rzij7XYQnToDkxHIMuTnLoM1kRvouHNrI8kbwAQy++rarNCND5ipYfD71BtEz3f+k4Wn2g27e9FWe57aF5wCah6hUgFth38IqSVCB+IPhq0fLh2HnCa3JN5eltiQq86liurujS2MJ1E3WB0b8bqcLakPOTDY1Go4F5wCbh368d327qUwIAtA5sjVUPruJua2jHdYLRbBQ+q09UHyy4nV8xor74efpJ4hbNUaRsNptx2w+3YfjP0jm6fys8x/UXrnqh0T7fx8NmQJZW6prnxJXE5B2Wyr6j+tieWbUG1+peaCd7pUoPbty4cePGTWPhnkFw48ZNk6M0UdcywOJANeW6KQBswnU5XN2Bb2g6eDlX4umbgj9d8vk8kUXNv0QQU1/iqvkTgOtLDwuviSs3LTQI0v43BnrTs39Gal0exlMlTW8J7Cu8vjGgF/d9rHiBN9mSQwmpF+VutL3X2m0hx2DLGj+aPBepdXl4nCrBSiZuHJ20UQoCE5FpsIwYng1us7CuPOS8H0yaJaxbXmRLzsk1lIj2P1udKirHqjRxqgRx/GzlgFCGfC9Pht0k6z5zy2VlIT09cfNPVYLCno2PkRKK88rbOgItXCcJGlqrgGRlu4nCtjMch6VdVsfpgX6dhXWkbf6jzDFRAEkUSFUhRuOJi+5O/FDxPV/IJK9EWwUyaiCC/Yag1qzHbyV/I6kuBzvL47AgbwMu1Gbgx6I9Th1PbhJ6eratCgwRGbMC02XtXuW+15VCvgV5GwAA8/PWu+yYTQnPBdMZFkQ/q7h9UuT9ACCayFxTckC0D29SlZRIBiwTeeS+l7tO2PUfZP/M3Y/lYk2m8FqpZHVTwArnRoXd2DQnIsNPRWKnUTLuICJfwCIcTK3Lw6yctaJ9lxbswPmadNG+zsIm4gHAIyHXSdYVMiW1P2eEs7VXqOM669gklzyilr+dFNeWuqhNoTlZnYRNpUdkt28qPSpavlSbKVqm+wGL8jaCh1Kp9bZe4VhTbGuvVhfvVzxfHsQhUMlZUIl5eetxoTYDP9h5tl4J07wPJM0UXr+c/g13H57D5rTsH/FryUH8U5WAfKvbppq+FyFHZSKpPTE8YOt39jnP73fwGJE8G6l1ebhPwUlYLS+mfSG8/rclddcHufEl7XBujx+L9iC+Jh3byk4qvs+DCfen6y1OxheZ9odA97fqUw2jMaAdP+nv1F5il1w7SsamXhoPoQKGwWzEp/mbcbYmFb+V/F3fU3YZSXXiZLy0uny8zamQRbfldF+1IbkzcXq93t/Ht71rTqSBoJ/lRLDnKPTYfoI1wQkAHkuxJZToNDrstSZnzOEkffP4LH+Lqv2ebjFMsk6N+PFSrU1k/lGrUarfx0LHn8emfyXZXnmFGdEo4YzZhaPX1ZMtbpSsK6JEpBEeV557Jt2fVeJ0dQpOVSfjTE0qTsvE7mnCPALre2oCo8NuEl7zBPFK98ZvxbbKQ8Qcx1GGJ30kvA7U+jqVJOEMq4r34kBlPI5WKhsw9fPtIOlHKI2/xqR97pLzo58hd1z+QNV73m9pSyasMetxnX8P0fbuvjGiZXpeIcHaLtIx1ByOKcF1AT0k6+qDB5rOcZ3+zOHBgwFIjXlo7gka1HAn9i/HU8dPZNIrJMu7GvJZXrqGHRewf2tj/o1qyanIwY6kHdh8aTNKa0vtv+FfAC1qJtjTZbiSiVfb5s1CfEIa7XObG1subcE9Xe+Bj4cPHu7JN3p0loGtBwqvm+N958aNGzdu/nu4hetu3LhpcpTE5usfXY+aqTWYOcwygazTKgs0qw3Nxw1JDfacFz7Ps01ADPDtJLz+vpDvOO8odKnhdl6RAKRlLV3FTZemIqOepV/z9aW46/J0rG+EyUMvDT9IRAcqO3lZEitoV42kuhxoTgxHj/jxeDrlk0bJxN9cchTDEqY57T4pBy+ppNakh+bEcPxaclBYZzabMTXzB+y0im3Hht8hcVgR3s9MKPMmgmnBLz25fraHJaBNHEbO11jcUhfkWgSaFUZx6XOT2SR8nqPibjLRxBNb1Jr10JsNssH3dR2nIKv3ctljJ9XxHbjS9QV4I2MZJqQvQS0VIGID0omMSJAErh2lv29HABaxkdrrlIihwjwCUNSH7wACAEWGcsHhhj1/tSXOG4JCQxluS3hPJDImpNflY1iCRXQf7RmODt4t6/VZGo1GMpGltXa9n2xxkyA8OlRpcTTnJRL5ar3xTpQlMLW/Ih4A8GneZofOwwgTzlen44aEd+zuy0u8cWQiLKXXMmyxVgCgnajtocaVzlEqjNW4+/KH8D31kLDutXSb462SM9fe8rO4PeF9iashAMzN/Y37HjrBhHxnrHvqMy1uQTHnvmnuDrTOsrxwl9AOpNepc9DbUXZStNzXRSKWmwP7orqfvPh4fvSzqOm3DldRghIW3uQg64xHnk/084F8BxMzvpOUQVdTCQEQt/stmpkIkP2bFkc/L7vvvZdnoMxYJbvd1STV5mBa9o+ideUmy1iBJ4xgHcOOVyW67FyIk2An75ao6bcO1f3W4u2WIyT70UKXDSWH8WWBODkoywGBY3Oi0CAvvLZHMucZcaAyXnb/04z77I/tbaWtSUWM+sDrM+0pP8vZ04I9YUFn71aSdZdrsoS248v8rbjuorwD3NqSQ/V21CX93SpTbb3E/ZV2vl9HnKVdBf2Zqb2WorTvanwe82K9jrmscGd9T0vC7UH9Ve3nr/VR3D47p36JNmzCrDPQiSUH7VTu+S8hV9nuo5w1qt5PtyUrCndjVMpC2X2VnO55bRhtXsBWw3g65RNV56eWSRlLZatL/Fy0F/dc/lCxHaLjCT8X7xP667x+O42cIJK4SXtqdEI/rsJkiytm6OsXwyLccGmKbEU1e7yX9RM0J4ZjdMoiybbMOmm/gK4254y4zWw24+mUT/Bg4kyu2zYAzMhe7fBxlciqKxIt/+RkkrGrydeX4taEd0WVU445mXz3orXiHQ3bLrD3Lrlm3s0S92dp5Ma1q9tPFi3fGXSVZJ9BFyfhlyJpwltibbZwzfY+/woAixD6Kj9LXJpcV1WmWtyf+DG+zN+KBxJn4ruC7bLnSQvsSaI+jb3kk6boQyhxqSYTnc+J3UdJvDjqzGgcqjiPdcWHcNfl6Uiry8e9l2dgbo58MkISp78brPPH753eE5afSlmEKVYn/nCdpe/2WOj1CNBa4q+PJs8V9vXTeomqWapxJm9qPDU67OoyQ7Tu0ShpBTY6keTFtC/tHtfkwrg86bc/1+JWbsVCts09V2NLfn8ydRFX3Mw7vhoye38vaTN493N9oROQr730Fp5PlYrNN3R8B7m9V+KfbgslVQcfCZUmaxOUkjy+L9wpXL/2BPP2kkVpt3RCH78OONntEwBAtr5ImBcjRHoEI7+Pre2lK2he7R8LAHg4eY6wjleJwtmkYDlIgh1tqtSQlFP9oeetSQZtvSIQ4hFg971z2zzdUKf1r0dOIHw617mEF2c4l3cOAHAs61iDfk6NQRw/aCxXeUeg9QiZZfwkYFez6eIm3P7j7UgvVVe5EQBWnVmF2364zSXnyBpPAI0rXL++3fXw97SMZ8ZsHoMzuWca7bObE146L2wauQklb5Ug3E+9QZQa/L38cX276wEAqSVSUy03bty4ceOmsXEL1924cdPkFFUXyW7z0nnB28MW5EkqTlI8VmWd6130GhJ7k0i0C+2bUQ+6/PPpSZJcfQkAoNJYf0EHjz0VZySOg44yJWsl/ig7LnKmbiju4kzqAMDbUTaRkVIp1/M16VhRtLtRHKWHJ32E3eWnMU1hMssZznOE8O9l/yRZl6kvxMzcX4VlpcAscX8mPJX6iWQfOsTdhQraE1GNBxOYf8NaSppNBNlOCSDViLtph23i5l7HcRioMell3XFej7wPGo0GkR7Big5HcpPVC/I2YHH+ZlGZUzaQz1ZFcNZxnS5rK1dhQI41xQfhrfXEEL+u3O20Qyw7KclOzjaE+6kcvxQfwI7yU1yXY9pp11UCBdbpn55UIm0tmaSXayvIBG4LncUlqoyaONApdOUjrdefwWzEhznqhAXenDbNkcogrT1bwNua9CMncuDh6skcwFIeeGuZOMDOOhnLcWPCO9hefhIjk6WTW59QZd1psqkJSCJc532fIR4BuJ+pyuDq8sHNhWdSFwuvSVKIPW67/L5o2ZUOYj5aZacg3u9FY4C4zzbIr4tkH9bhlOaTvE2Sv2e/gviW5gXKvbYpk394sH3ZAK2P7DN3S9k/WJC7oRHOysJiTqIPEQt08W4t2aZlfr9VxXsl+zgLSTpNrM2Bt9YTPlovxHCck+nvk3Z+JjREok9jkFCrLChkKaaSOnjjB6WqGWuo5EoAuC3QJgi2J3ogKIkKTZw2m00woGGTO9QwI+cX4fX49K9xoVZ9cuqIkP85/HnBOlvi2nQXixFpTE3guU4npER6BCNI54dDFRfqdUzWNb8+3BTQGwDwSsQ9qvaXEz8TpmStrPc51ZdhgX2E143lCHklIFfZTsmtUvR+6rffUvaP4r5KZgS8cY7SdbWiaLeKs1NHoaEMC/M2YlHeRpRwkvceT1mA38uO4UOFdogVt36ab3nWB+ikSR10QvyWUr7wRuS4bu2/kIRhwDVVA+pMeuyrOCcss4noSpjNZuGZQAvIhO2c99DiO2f60sl1uVhRtBvrSw/LjlHfy5ZPYncGNmlGKTGjMdleflIwaHAU1nW4u0+0aLnAUIbDTAWZIC3fAEIpwUWunyERwTNiUgJdsZDwW8nfomsWAMqN1YJQl4xfv8j/HRtLj2B8+tfYUHpYEDbymGyN28lhT7geX6NevNUYTMlaKemX07G7ay+9hYeSZ+OPsuPocPZ5bCn7B29xKiTQx2MpNVaKfoeVRX9hdu461Jn0Qswy3CMIQVbjkBRKvKs3G0WVGr/O/8OxP7AJGBk6VGIiU2msxEvhd4nWnaeuhdPVKagwKpsYOeOALwcRJ3trPLkJ5Wxl0BaM27tScgcgdri2R4DWF88wlRRGpkhjWPVla6m46uN3hba/gcQd/bU+iPQM4Yr5lZLpRoYOld32bOqnwushF99QPEd2HM9SKpM8H6qzCbDZuJyXxkPUjmupNpQ3J+DK60yOSI8Q4TVPWOpKeOYqgKXaC4GuJsoS4+VakeV/CU+Z2KTSHHp9YQXkb+58s8E+Swm9sfk5PxtNtnvtYqFzlf8c5b7V92F74nZ8tO8j+ztbeeK3J7AjaQfmHJxjf2c70H8zoTGF6wBQqbfNF07dPbVRP7u5MLLnSGg0GpE+xpXkVliqeTX2b+vGjRs3btzwcAvX3bhx0+QouaTLDdTleHTto9BM1zS48/obGcugOTGcO9nmCEoTueyxhwX1rddn8aixBqG8NZ64xuoWQYLimXWF0JwYjvlWN2s1rC7aJ1o+GiueAImnnEYc5eX0r7G0cIewnMtxKYmrSkbHs89jbNqX9XbjYYPLhA9aPSa8ViMYZl3ms+oK8Vr6ElxwkTv6PsrhcW2JrexombEKr6UvEbYvK9iB1zOWyopJSwwVmJC+BMcp9yh6MiDG0xJwTK7Nlbz3pTRxmV9eoJqgRqBJuw/Twl8yiccTxHmcuB/5zAQ9XSZXzW/1abTNLYkEnMtM0uB2tr5IJGhf1X4SknsuwfkeX2Jem2cAWEo8n+v+OU51W4zzPaQOQDzRE82WUpsYgQ2ws2J6pe9bCfp9jjp1Esfcg7FzsLnTu/iHuddptxv22CerxQlIcsHwhkDJ9TG5Tnpt1xf2t9FS4olRYTcCsExsZdQV4LnUz4Rt9HV/jX83AMCRqkuiY/zY/nUk9vwWKT2/E0p20xDB+ayctUhXWe3Ch1Np4sGQa2T3/zjbNoE+utVo0bmfqUkV3JE0J4aLXPlWtZ8kOk5cdbLELZDXJjnCX+XKbhzrVFTuOFGdiD+YSTo5iCgzW18kTKrJuT792vEtHOo6V3BXtfe8MpiNmJzxPebJuL3L0RgVP9TCilbNZjM+yv7FbjnwpnCjn29tx+8LHiJaT/fZDnSdjf1dZ0vea689psX8gOV6UQOddMEKXJTQmw2YlLEUX+XLi2oJZrMZ72X9hA0l6ty7zGYzPshahV+Kxa5unhoPxSSAP8tOqDp+fSDVYYiYjWZ9yWG8lPalqFoOQSsj6AEaxuUx3CNIlBAJWMQXmhPDMVbGPdCVjoGNSarKqgs8iEPktf7dVe3PigYiPIPRyjMMgEXQ813BdmhODMcXVJIdC6+fZjabUWmswcvp36g9dTyWPA8bGEe8WwP7Kb5ncsb3WFn0l+z2vr4dcIBpf2gn2PdaSp0p7UH3O5TGa6SdmJb1I/cZo4H8PQQAJY2YrEig+6EkgYn9fTd0tF+VpqH4s/MHuNTja9wdPAhFfVYJzyDC8W5ih+XkulyXt0euTiIlCfGA88l5RysvQXNiODqcHYNLNY3jbNfQ8Nx0lTCZTZiW9SPGp32NtzNXOFQxoq9vB9lto1IWYj8jSP3bgb5FfaArzWg0GizM3YDlnGqChyrlk0toUTkAbC87BUDaZzzRbREq+60RnrPkb/40bzOeSVksiMfJeN9T4yH04+iqcCT2YDab8WH2aqxwovohW9GFFTYqYW+MyuvP/E19f+PTv1b9WQT677/owP2Xr3e+euMHnGSFqZk/NPl4Ru1YkMe6jlMwo9UTwvI1/t0QRYkO60x6iRg7XSGBXu67yJIZT/DGJYV9fpJUBzTBJIlNH6uUjsHvCBogHJPsv7NMnahfze+YUssfOxPhaHMTrsdXi8+nrO9qtLb2N1nofsezqYslhjGXajK5v2NX7zbc4xUaywXRqodGJzFMAICX0r8SJdq5oqJKQ9PLtx3qmASGNj5tMD/6OZzrbkuKYN3jq0112F0eB82J4dzjbmOqutUHMs7w1Oi4BgysmJhNYKk01WCJQsJaYm0Orr34pirndI1Gg8dDb8Dw4MFqTt1pPsnnmzcAtkS5TgoVK3kJVGQ8tLp4v2heg+BoX9eeaJwX6wSAQKpaLBub9tR4iOYS6Pust087ybEaI1nzNqpC09riQwp71h8144MnW9yE3V2kwto/O38gW4nXjX1YEWmwtyVB5OP9H7vEtG1d/DqM2TRG5OZdWNU8KvulljY/52cDNQ/X2P3SpBJlEz8eySXJmHNgDjTTNYIwWQ3r4tfhzR1vwmAyNLnjOsvmS45VH76SOZFti5lPvEY+OcgVDG5j6T9cKKifsYMbN27cuHHjCtzCdTdu3DQ5nx35THabl04c4PPxUC6NnVBkcQMav1vZiaG+LMjbAAAYcMGxwQM7uOWVESS8zbitBMo479QHIoSqNesF9x0S2I4+a5k0t+eKQ/NYynzRcivPUNGyGtdrOb5gRFdPcsok97vwGpLrcvFNwZ/4XcZRSy3lHMeWAK0vtJRTiBdncoBlXp5Y+P9o8jx8mr8ZV1+cLPMOx7ghQSy0OFGVCABYkLsBn+ZvxsPJc2A0G/Fc2mdYlLdRVjD2Rub3WJy/GQMvvC6sG0dNchIXp/5+HSXvZR3fIhWcxmnXSznoCRV6gp5MkvEm4HiiCLpEthpHZ41GI7itGMxG0WTI9FaPC68TarNE53BdQA+0945CN59o0fUR4RmMvn4d0I1x1gLsizF3lJ8SfR4N60TFm6RSQwU1WeaIqw9gq0ig0+hwT/AgDPQXOw/voSYe2AkC1gnHlY7K9lByz6UnGa/z7+GSz2Md0WnhepDV3bTOrMeUrJWiScXnWtwivCbvII7r5Pfv4BWFdt6RaOcdiftCxAJbwHbNH626JCpPrATPkVru2sisK8S0bFuVhxZeLQDIt4u0K18fjpjmoWSxCG9y5nJJm+QIZ6qVg91Hq/iuu0UGsSv7XYnThdd5lBBLjvey7LsPemh0uCagG9p4Wr4ze6Kuw5UXMT9vPd7MXK5YWprtY6xXIc5vKHgTh/QE/ZGqi3g3+ydROXMejeHOy4phybODnXgky3182+PagB5ccXaUZ0jDnCSFv1a5L0yzvewkFuZtxLj0r+269G4tO4YZOb9wXb557Kk4g+k5q7GYEYdrNBpUKojrXJW4p4Sc6BuwuBl+XfAndxt7D9FtuDOu2WoYYk0cJdyTOAMA8I3MObLO/1cKT3DcPFk6U1V26Oo6RESgJMSk4fWx2lvdZ2vNesENVEmAzhujHa26hNm5a2WvHxa92YDVxVLRCZsQdl2AuM8xP085afiNyPtxbUAPvBH5AHd7S2b85SidvFrJbjtXk4YZOb/g45w1kkREwH5/sjH7fATSbwqgxtJ0X2WAbyfcF3K15H2E4nokqj9L9efk8NJ6oouPpQJEqEeAkNhI4AmBeEJfQNqG0S6SSiwt2GF/Jweg20tnf3OSBJhSl4f/XWwaxz9Xc+MlxxIkfi89ho9z1uDLgq2Yk7sO79txuH6/5UjEWkWOj4VeL7vfvopzGJEk7nf72qlK4yro5Lvk2lxMylwmSeoDgIw6vniG15chVcTYa62/Xyf4ar2FCjnBOn8UGyrwWsYSLC/ahW/yLW05EcvmG0q5rrDkuXus6jLez16Fpznnaw+2Aowj4rYfFBKZeLBiv3JTtcPJH3QM0JHEM94zTy0VHDf5mbm/Sly/G5uf6lF9p5dvW4wJvw2AxSxEq9FidpunhO16s1HkXGsPuT6gI0YGYR6BQjIfDTtu5Lmzm2EWPou089vL1QmCD1XKGwgQeNeAn9YbIR6WZ9lJa6yzuRBtjX8QAnV+skkENN8X7hIZVQDAPBnDmBYegbg7eKBk/YmqRKGvqoNWtq9CJyW1pyoxNCfovou3xhPtmYp/2bXZ8NR4oIdvW3TztsRWWeF6rVmvWOFNqTKSoxiohAH+dnEbzN63wTp/UTU1Ai1wP1R5QdY5nY2najQavB55v93zrg88d/FcfbHIUIitOErH43mVzugYPTuvAUgNT5QqmgJArZ3+Julrs9DC9Gqz+Lry0niI4u30XMcdQQOE1ySGyMYLBstUKK0PdAyqIdz1abIVYo80N1GVlgj9faVzR27UU2dkKtXW2hIDtybUvz176NeHsPTkUsw6YKtofSrnVL2P6woq6upnEtcQ0CLuhjC0UMLXQ50eoKSmRHhdXluOt3e9DQBouUA+qYjloV8fwrxD87D54mau47rOSeMsZ/mvuoBf9a2tCnyoT/1ie/Yg95tO27i/rRs3bty4ccPDLVx348ZNk3MuX34iwlMnFgWpHaytvbwJn1X9hUyVTpZq+K5gO/qffw1DL74trHPUobfaLA48yAnnALFL0s/t34C31hOLop8T1mlODMfgC5MwO2et09neRFimhRYPBFsm7HeWx2GbE26YvIE7EeU1BLSwl8eywp31Oj5vgo4tc6hGMMw6ox6otDiEqXW2y9eXYkHueqTKuA+xkIApcXfMM5SKHMvknLXjqpOln005mOcYimE2m9GL4yrC8lLEXbLbHgy5Br93ek+43gDxREWRoRyf5m0RlsmEjhZaQRSuZmLu0aS5IlcdL5XVG8ix68wG0WTIlJYPCa8z9IUiUV6MV4SqY9PEVadgXu5vWKCiogFd7rfWpBe5agLq3OR59PCNEV7LCfIqjTWYm7MOL6R+LnIJfCH8dsm+tEMk7Q5cyUwq/VEmdi1zVNBSZ9Lji/zfHZ64ZIW0bLtJT6aMDJMvV+sIrPiBXia/29f50kSbRdFjhNdECKvVaFBgKMNlqzsgPWHRy1d8X57u/qnoPqEdTnv6tEV6r2Xc8+VdSwWGMu6+7MTytSHXyh6D9zl09QpA2lbS5YdfTf/W7jFZlJ6vSvCSlkilin+qEkTrHwm5TrLvAcYFUgkiirWXyEK3N7zzI7BujucpgfD56nQsyt0oVEtwhlNVSXg2dTE2lBzG8arLGHLhDczNWcfd9zzjQAdYSgp/krcRRYZypFFVAOSuMaBhHdfHht+Bn9pPwuoO4kQy8mz/veyYqGpKvvU8ixREjFs6vYsbA3qrPocbAno5csoA+M/rAkMZBpyfgCUF2/BdwXbsLDuFGy+9I4igAYvYK0dfjM/ztkiq+uyvOIfP8rewh1XkaGWC7DbaTZKlzFSFs3YSS+rL8iLH3VABYH3pYVGp+fERdwuv61v6m7iyTW35iGj9vcGDHDpOY5QgByyTc98VbHco0cBoNuKb/D+xu1yd+yZLB0aoQiDjLW+tpyDWvjPoKu6+gC3hpa9vB6T1WgrAdk2qdY7liQqTanPwUc4azt582Ao5i6Kfw+ZO7+J5q4iNMDx4MNY74Pj9WJhFkMrri90ffDUinUygCdJaEuoGcJJUCfQzhAgh6XaykEn+AsRjnsOVFzE7Zy1SOBWcWJy5Bnnssl6PdP+EFkVt6jQNAJBqvVZYCplnlFrBabRnOBa0edahcwWAKCbxgPwuND8U7eG+t4aJNWjtOOAT1ApT7PFb8SFoTgwX9cGcabO+zv9DtEyPK65k2FjQFzFjFfdPqhM7tH8r49D6S4c38VvHKXir5QgcjJ2DjR2nYlLU/YrHzjeUioSq9q4UVz17aAHfdI7DNkEuEZYenz8ZdhMAIMCa0LeZEYIS2lrH6hpAGEcBtjEqSbhp6xUhSpoi6M1GbCw5jMEXbRWjHHVVZZP8HHn/dhVOwbSghjeuV1vBKqEmS1LhaW+F1AlXjnJOtbr6UmJsfgImOegqOp4aD8R4RaClZygOdp2DY90WAgCeCrtZ2CffUCpcf2qMSth+BaGnT1vu+lgZt24eaXX5WFKwDRetz1wPzpRhT5+2wrNUbzZIno8EVlQMSCs33hU0EGazGd8VbMePhX+hxlSH2bmWcWUPnxg8FXYzvo4ZhyOx83GjdbwUV52i+u9pDEhlPAB4NNSx+BHdFgHywn4tNBga0FOy/p7EGSg0Wr5/D40Wdwbz+8WL8jYKr0ksalPJEawqcj4hw9XQVQYCdb7o6N1S5OBcQ8VCsg2W/gpbwSfmrOP9rTx9Cb7M3+pw1Rm99TkmF/dihepsmyxXVSmhpzShljx7E2uz0fHs8/gyf6vg3v8hZa5yPecaaWi+KdiGx5Jt5kWsu3Zar6W4zr8HZrUeza2axfZZq63txsGKeCwv3IUPsn4WbX+mxTAAlsqMn+VtkVSuU0rQeiTkOm7CDgB4UUYrBcw4xlPjAY1Gg7hui3E4dh7CqMq8I8NsCYIkqY789k+E3oCV7SZiXce3cSUjlyzFVu0AgOSeS7Ct83Sc6f4ZDnWd6/R41I2FSr18uzRq/SisjFspu12JUzmnRKLYr47ZKiinl/GrmjzX/znu+oaiscXRaqBF3I0hXKfnqzqHdVbc96fTP6H7F92RWGSbI9ubWr9n/OyDs5FWKjVAamwh+YFnbBVam9t1sSNxh0uSSOwR7KOctFVfYoIsc8P/1SQBN27cuHHTvHA/jdy4cdPkVOnlJzcCvMQuYR1D1WXsl9eV49W6X7EXqVgbMq1e50cg7nw0PNcIJeZzRKoXazIQy3FkpgOx/wuwBPl6+7QX7fNPVQL+qUpAD58YDOc47tqDOBh28W4lCuLdcfkD0X7Z+iLZIB+BFZLfFTRQ4tLDOkWrpUJBqEdgnYqIcNtZiOt3hEewIOBm3XbVSQHqx+TM77GiaDe2l53Cti7TRduU3JloAcL1l6YIr3nOSQCgUfHXnK5OUSUyVnI312g0uCt4IEJ1AVhv/Y1OV6egr5/FRXNUykKRsJm4jdOTAmqE62tKbMENtW6DgG2SLak2B2FWh2sPiEvvfpK3CbExlknAfirdP1nuSfxQKKlqjzczl2Ny1IMA+O6gPGc4NdAOjil1ubgBUgHlF/m/462sFQCA5UW7oYUWJpi4v/GNgTaxJn3PXqy1CY54LnmOCiFWFO3Gy+nfIMojBDl91AdrX88QC5KMMImqQNACAkfbdjlYx3X6PiOlro0wiQTH4R5BIudzcu0ZzEYsyrVNPCpd171928veJ6s7TEY0k4RDYN2bAGniAYFuC3w0XvCwnmeoh/37LUjnh3PV8i7wh6lkGwD4LH8LRoXdiMH+6h2L2MlMtfCeU5tL/8GI0P/hgSSbG83ydq+hp09boa0hv3WZA4INcu/ac1ynJzuVnqOssIVOenkoeTbia9KRbyjFzDajVZ8jTf8LEwBYXOIIR6su4dXIeyVu/X0vvCZ5/ysZ32JXeRwu1mSK2q0Hk2ZiX9fZkv0B5ZLT9WVM+G24yk86CUA/b8amfYktnd8DALyX/RMAIIOaXGeJ9YnGxMjh2FNxRvGzR4XdiB+L9qhq/3gTI3FVycJzEwAiTo8CAK57G6HObMDEjO+wung/EmqzsTjmeWEb3U8ALElk9MQsj7etzwYeQ/y7YlPpUdntvc+/AvMA+ZLjTcnivM2Y2soiLqev0/o6rhdYhZdsuXhHJ2AayvmdZWnhDrxoda5X+1vtKj+NsemW9xj7bxBVoQn3CFJMUgHEbt3FxkoEWiuTFFvb82pTreCardQXJAkvdwcNFJILSVWVFUW7Vf0tvIn6iRl8YTPBZDaJ/ma2bQ/Q+uIeTqKCVqPF/QqO3yzkmgnWSQXNL0Xcqfo4LDcH9sGG0sOK1xj9DNpdfhojw64XnLEBS5+e5XsqmXhXeZzwb0eXGZJ9xe/bJYy/69NekOuY7mv18rWJ/NpYHVPbyiSinqtJQ2fKpVFtgtojodcKLrH1QaPRINozXPTskXvGsH0ftYJvnljXGUYkS5/ljiaoFhjK8FL6V/Z3/BcQZmeMygob5bjGP1Zo63y13qrjQg8mzRLuLXtOpTNzfsX7TNKpM9BCDKV4Dc95GbC1QVpo8XDItfih6C8YzCaUGau4iX2ATQRfZzaI3MvJtVljPWY3n2jUmKT9bL3ZgPuZajS1Jj08dOqf36yQ117fn+YQMy7ikV5XgPbeloScOs5YYXTKJ3gs7Aa7x3kiZYEkUXdvxVmYzWZJHClA6yv5nWplhNX2UIr3OeIm3hgc7DoH1156i7ttastHBPH1D+1s1TlJPBewtOnku9tadlyIyb4ccTdm5a5V/Owacx38Ia28RH7z51vchpVFfwn3SRCnn0C4I2iAqBrjz8X7hQQH84BN3PopnX1aie6nWxPe4x77l+L9eIapODLfWrWUoIGlAhd5zq8q3idsC9D6Ynn7CcIyMRBhKxE2NXSCNW3MoYY0vTiWS8dcdNAKbcRBBad6MibXaXSq3NRfTPsSj4Rch/uSPgZgGa91oqodNRV0jNPbKiKmHZzbU/MgjorMlbg78UMcq7qMv8pP41cHBMZk/C7vuM6v2kY4XyMVh17r313oj9JsLzuJu4MHofO5FwEA46mqqN19bEYkcnH+hoSuAsNzQw/U+WF/LD/GA0BkNAMAvxQfwNMthuHGS1O54zByv32UswYL8jbgQEU8fuloq8hDV25leTZcvgISHfvJZeZ8yLY+ftK4P52oX2qsQmu0EMZQYR6BeLLFTbKfeaXAS5bygI47P9jeO0roh7ipP9FB4nni69pehwNplthznbEOT214CoNaD0L3CGlSiBL9v5GvghyXwzcfCPNVng+uLyE+ISK38Fojfw6iKaETRI2NEI9bdtJmNhToJR+XrairwKj1lljwwCXS6iyOUFBlizUczTyKEWtGSPbx9/KXrGtIaB2Ir6frK9E7S52xDrf9aDGjKHqzCKG+DeuK3pAEeQcBaPxKAm7cuHHjxg0Pt+O6Gzdumhy2/BlNhJ94Avm6ttcJmaBqWFdxFNOzf0alscb+zk7wJFPK2x4bSqSTc93ix+EMZ5K/OyVmJ8GyWB++Y86EjO/wV/lprC0+qCgGNJvN+Dr/D7yX9RO2lZ3ABaug1FPjIZRY5lFisB8cph0Mg3X++KG9ZaJmZ+cZgkhHruRznUmPP0uPyzrBsi6yPDJlju0sRFwzIfJeYR07+U+Ezc4yLetHu+63RGCzvfwkDGYjdpSdFIL1tMMhYVbuWlSbatFC5tweTZ6Lz/O2iAakZrNZMkEJSB2aztakStyyWTZ1VJcoMoQSoB6psjgt5+iLZY9PC2V47k9KqLl+CGRSQQON4PjCCjIBm9s1b3JbDWpF6wTye9Eu1AR7JVPlGOIXK7zO0ZfgIEeIQ09m6s0Gwd2H950M8O0kvKYn42n3zRyOo2NqXT62l50UvvvU2jycUHBTJy6/ShMTPNgqDGxQhhZq3RrYz6Fjy8EmFdCCf54rKQBJmWe6HDcRhHX0aomOjKB3cbRFhLqi3QTR+1h8NPJtPW/CS87he285331PzeRnS89QxbLzl2ukQp1jVZdhMpuwt/ysbClsQn0Cbrzkio9yfoHZbBaJjB8PuwED/bsIiQU3WRM36PLgf3R6X/GzyPVh7+/5u8ImWOGdH4F18gyzCuaKDRVCooS9aiUFhjIcqIh3qJKL2uQT4nr7dcGf8NfaRBf7K+KhNxtEn/lDu4mY3+YZbml0V0G3WTT0vfN7ma0aQmJtDm93Cbz2kaWPb3sA0lLigMXtclPJEcHpnyf6UxLPy6E3G7G6eD8A4NP8zTCYjTCYjdhZdkqyrz1RgNw1e7DrHADArNbOJUe4glonn8uEI5RTcBHVTr+b/SM2lxxVfb3HVSXjco1FYGM0GwVXuIH+yo5J9viz1PGqSM6wh2rj2cm5w5UXkFKbi93lccJ1CoidqWcxFaGIM+4QpmQ6/bylXbD3UZ8fZBWrh+j8hf4XK9o+UnkRWXWFqDBWC20N/QxWGufw4Lnh2ut31DBiQbZihL0E3s2d3rV7XnTiA8/J7mZOqXa1kPGmkhMwXbmJPP/o5x5PTH+oQiq63KnClX9PuXICEI3JbML2spNCNZ5vC/7EoQp5sddDIddicfTzOBw7T/VnEGhRy5Soh3B30EDMbv2UZL/7gh1PKpdjY6epospGcsi58dqDTaBxpB9VYChDWNzjIvduGkfH6Pb6RFcy5NlP6GetbhDAcVquM+llhdg0S9q+7FT1LxqT2cQV0l2m3F9XFKpL+rGHXDJFEtPHyjOUcpOdSD/YR+spcn5OVBD5k8pruYYS0f1Lnuekz+Oj8RT68zS8inWOGDLw+tRsfO2fygScrpL+3mrFMbSgl5d8JOeaysKLCQGWxNwaUx12ldme+7zkgnxDqdC3lOtL1pjq8G7Wj6K/VymxramE60WGcqwtPihZ76HRYWfnGXgn6mHJtgCdL8aF34Wr/WPxSKi0Mhehi3W8vLfirOC+rGb8IBd72mhNFvXQ6ETXZphC8tSSti+LlllX/p8pITnh4ZBrBXfiLH0RTlYncY/NS/Bi27MMfaHI3ZiOA7LxOzJmu1ybLcTo1JKrL5b0B2pNemwrO6HKIEUJEvPSQouHQ6916L10ol9mXSFSqYRzttKnPTyglZ0rYKHjkHl6x2KSDcVmKtnZm4pVnez2Cea0fga3MZWKaOSqc7DEeEq/02PWa36dTP9FDtJ+y1VgZZM42WoDND+2fx0ftx6FZe1e5W5Xmi9Q+tu3l510OiZmNBuxMHcDNCeG45v8P1W95x2qQqmznK9JR56+RPZ5ReKnC6xJMLRZjdlsxpFKccVFej5DqSqkVqMVTCjY71SrkNhJJxqQxFHS1jhbFdVVlBmrMC3rR4n5kqPw4lBq+xNu6se1Mddi0e2LcGvHW7Fr9C5sfmyzZJ8v/vnCpWLTi4UXuetZUzlXs/XxrXjr2rfwRO8nAACFVa6d33UFFXW2fom97/xY1jEkFfP7R2r57YKt+pHSWKCo2n6l+Qe6PaDqM1NKUkTLxPU/yt8Wo2sV0LjJbhH+EXjxqhcb9TPVsDPJNr+o5jdwBFcfzx7kOUdXFXDjxo0bN26aCrdw3Y0bN01OywB5N01WRKfRaHDg2QMye/P5IPtnBMQ94tS5EeRKoO4qP+3QceQC+33OS4OUJ6ps+5LgrdxkRnJdLm5OmIaHk+eg1/mXZSeJNpcexUvpX2FGzi+44/IHggPd2ZpUkYiMRY1TGl2KPKv3csGpc1hQX7zXaiQA4G8Zt6hP87fgzsTpXDdpAFhasIO7nhZW8Jxo7InClSBl6Tt5yQ/K2WAk7Xiiho9z1iA4bqTq/ZcV7sBtl9/HWOvvlqWXDmZ3l5/Gw0lzFB1XXsn4VpREsa/iHHc/NhA/KmUhlhbyfwvCvSGDFbcT6ADwi2lfwmg24sZL76h6r5eD4iNHGGh13zWYjYLQk+doTibNe/g69ps7C3GubekhzeJXctJSQqPR4N5gy+/1dtYKXHfpbRxlgv1y14Yvpy3SaDS4zr+HZP1Cqjxxh3PPS7bffvl93H75fSwp2AYAaH9uDK66MFG2ooDJAYc6mkhG4M863ZH25LWIe13mWMReO/RESG/fdtz3sOdFizJOVFsEWS9H3C1536uR98I8YBNGt7CUH5cTnvnr5Nt6Hjw3xEs1mXgl41th2RmH+hCd1Kkj2Spa4Tn6T8pYhp+K9uLGhHcw6OLrisemncYBqcMxgSckyec8709VJ+Pz/N9F60j7SNz0eCKRO2RKdts+3/L/3gp+EgAAZNUVYmbur8KykrCDFdSSJI8xaZ8J6+I5wiSarufGYuilt+0mKdFcVCjLLEc2k8TybtZPIjHTAyHXYFLUAw1WDnRoQA/Z+5x99rFlqO0RoNCfIrSytuXsb2Yym9D/wgTcl/Qxvi6wTBTzkkd4SUD2YB04fyrag+8Ld+LWy3y3RCVekemvEUfJHpSbcWPDq24EQHjeOQL9DPwifyuGJ32kSryXry/FgAsTMfDiJADAcqpKgRpHRCW2lP1T70loNZypThVeT836UXj9d8UFXHPxTXQ49zyGJbwrciGnxWXTsn/EqmJbiWIyBujmE42OXpax3+iwm0TJNLRQ6cnURYKgiLSvrTzD0MrTcu/QSTzHqy7j6ouT0ebsM7jz8nScq7Ek8dJjE54wNEgr339SIxhl2c/0mdjnuVxSKaEvI2rlMYYR7zweKnbQrY/Aj06Uk4N+vtaa9ZKJW17f49cSqfBPDT9R14+9ZKo/yo7j9svvY8CFiVheuAsvpn2Jay+9hXSqL0n3wTQaDV6NvBdD/GNFxyGJFUMDegh9WjbBiLhg3xrYDzPbjMaWzu/hrZYjJH0XOUGTMwzw64RJUeJJ5zoZZ2hnYMe06ZzkaDkiTo9CsbECD1JVaWiUEhV51JjlE/SudOhKTy10gQi0tku8pMRP8jZhvwp3f7ZNcAa2Yg+BTkZNrpMX3jnCm5nL+Z917gXJum7nXpKsI/1HHbTCPaY3GzHgwkTRfoOpJCn6+iZjKcAW4yL9ZZ1Gy630wxMdyiX28vipaI9k3S2XbYlKGXUFGHxxEvpeeA3lTPyKHg8/yzhY09xOVUx0tMoB4UglX7AEAF/l/4EX077ALZffxVtZK0TnWdRnFSZHWtqn41WJWFG4C7defg/j077mHuux5Pn4KGeNqDrTMUo0zVYA0zZKnUMpV1+cjIeT50jWa6DBsKC+mBzFFwJ90XYs/o6dpxhPIH3S3eWnhb6PBlLjCBbSv6E5UZUoiM43lh4RVQ/xkRkDA0C0V7hsNZPU2jxRFRxCgM5XlSCTNQzgcaEmQzYh+3/+3UTLLT1tMbD3slaxuyvS+swzuPbSW6KEyAV563HH5Q9k2yO1kD7Q65H3KQpcaUgi5+HKi7hojTnfflmc7M5LllFCp9EKY0t70ElC83J/U9izaaDvm35+HTEx6n6hsh+PGwOkyUY8ophkz5MKRhn2SKyzfIdy4kU2hvqXQiW2Hj4xeKflI+gqk3ig1J7zYrKE2y+/L3E0V8uGkiOYlGlx+x2b/iXiFcyRCGp/B5pu3mJH6Y0lR3BTwlTZ/ZcX7ZKNEf9edkySUPZY2PXCa6WqsIBtfmK9k5V7R6bMQ3pdvvBb+9r5vIam5enR+DhnDaLO1M9MgIwr7H1/blyPRqPBhKsnYPuT23Fzh5sR4hOCdY+sE+3zxT9fYFfSLpkjSKkxyJu6GUwG/JViSaR7/wbxM6mhHdevibkGs2+ZjfYh7QEA8QXqqps1JrT7uJJwPbUkFYOWDMLgJY7HHmlyK2xjj4/3fyy7nxqRv9rEg8VHFnPX08L3pqju8Wz/ZwGIkweakuNZx3H3KtucXGG1axMtRq9vXBMYndbSr3c7rrtx48aNm+aAW7juxo2TGEyGemfPurFwWyfHJttigmLQLtgm+PP18MWZlyzBoYYYTJvNZq5TOiAuDeiKz6GhS30TgZ+SUy7NwYrzEvF6qbESr2fKl7i/hpkcoCHBKrPZjPjqNJQaK5HCTOAF6myCEDao1dpaRpBX+tJsNmNy5vcAICrdTMOWlSXQEx08txElgZ89iMiVd84EVpBwviYd6zq8jeGUOCqYI850FpJosLp4P2pMdbJlY38vO8Z1PKQhrqsAJMFfks3vrPjBGRJrc3CxVp340ZX3HQs9AU4EniQB4qNWo4T9yAS30mQgzcGucxQnm+1BxFC3BvUTrZ/f5pl6BZG9mWt4a+kx0TKvBCggH4jP1DsfsHkj83uRW55c9QjWwVQtL4TfLnscs9mMMzUWkZ4rXd10TFebbjPeirIFPllRPQ0RuRjMJsFdn51448GWuQWA2wL7y/6mjsC6In4WM1a0vLGjZcJpTIvbcKjrXNG2XzpYyvm247hDEkEcr92tMdfhDesEmj3n63ymooGHRodHQ4dyj8ki5wRJl24nfwNgE8Nk6AuQUONY+XLigldmFb+k1uYJIum0unyUGitxiSmJrnR9suK6aOv3+BvlIlbFuNQZzUbsKT8jCFCIeIIWrpvNZmQpOKY686xNYQRQX+RvxWFKMONogoVaTnb7BE+HDcNP7SfJ7sN+x2l1+bhUkylUWbE3MTvYvyteCr8TAHBLYF/cGSRNYCD3YZa+CBXGapjNZhyoiEepsQqVJsuEEkmgS6qTXu9sImMbT/m+CoEVo16uzcY8GZG3vXaQLW8PAOPC7xItz2hlcUyaw3EidpZCQ5ldp0XaJR+wPKdfCL8dr0fep+ozqk21QsIqr63lVbthuVSbCRNMKDVWwmA2YkPJEWFbVzuiJDWkcxz3SwwV2FUWhxKrW3GdSY9clQkOmXWFknFIqIet/zond53QvrFJLV8WbBVes4k/o1IWIrE2G2XGKsF1OdQjAKs7TMZTYTfjo9ajRPvTjouAzeGc9Ec9NTphLBRHuRmuLLSNHw5U2iY66eSx0Zxy7QYYkVqbh0JDmUQ8VeaECyebUMq6Y90XouzA3cIjSHH746E3YGpLscPrzNZPOnCGypDn2dGqS7Ku1/R468+yEyhnHHdZgQ1PXE0wm82oNNZIHLn1ZoOQyEYoMJThWGUCjlUmSJ5jBrNRJHok40pAfJ2soZ7dcnzTdjyeCL0B38SMF9pBWoxvNpuRbbD8zqwj7JHY+aJEPkcqPqmlB5UkTb6HIkM58vQl+LvigsMicXKcw4xg1ZnEDTkcEaIXGspESTNqqTXpGyWhx1nMZrOlopRVNB3jGY6DsXOEShAGGCXthaMOsM7yV/lpbCw9Yn/HRqCIqUbF65OTPlK5qZp7jwLAdf498G3b8cIyLXymEyeLjOU4VZUkjKXN4I/tA3TSxCd7iaA0dNyFZkvpPygzVomcrouZGB5d6eNDa7+KBy0yJs9MDfV3t1ORNLdbwZQj11AiOIN/krdJlMQU6hEgfIdGmLAozyKGppOPaOik6ApjNZJqc1BhsompQnX+eDPqQWHZ2bF/fUmo5Y/ryPgtxCNAIrxUy9PWRHOaWrMBqzq8ofi+09UpOF51GeXGKmwoOYwKYzWWUcYSWfoi3B98tbDsrMAosU6+goGaWIkGGkm/8rHQ60XLvlovWeH6jNbia50Wy8/Ps41dKo01Qr9XDmJ6sJ1KlCQJmV8V/IHU2jze2xQhY2PBcZ36no93W6QYA46g+noHKuLxV/lpSUICK9y3h4dGp8qxHxDPMzgr0nUWg9mIE1WJkgQdR/gsWpzk1M+vg2h5UuT9eL7Fbfit4xTRejbZiG6XHa22SOY3DE4aatD09e2guJ30qwOZBNyOXi1xfUAv0To2vpGuz0eRoVx1lYIyYxUu1mRIEnGTqLhNB68oLG37iuS9ziRrft/+VXSmEuSqTLV2n63HKvlVQTZRY+0nw27CmBa3YXLUg3i/5Ui8FH4nBvp1UTwuMYuiY6hDA6SmLHKk1eWLnotPhUnb+IaCZ7LAVmJkKTZUyCYB0JBqYtGcigVuGh9vnXQeZmfSTtVOyQVV8nGskpoS4fUjPcXmb/QcfENC+g2ucvUuri5GRllGvY9TVF0kciNXSgCIz7fEogqrC1Fey59bUMPDPaRVfXgYVFRb4yUi8pC7jvq36o+pQ6fi67v5CakNTQtf+7HuxqCougjHso4hoUj8HHKoWq1Rj0Pph1BrkH8ub0vcJryefuN0x0/UQUjiVkMJ181mMw6lH2o2iQdu3Lhx46Z54xauu3HjJM9sfAadPu2EH+J+aOpTuaIxmU147c/X7O9IodFoMOcWm/NN7hu56BXZC+b3zfjmHr4DZH2YlvUjxqR9LlpHgjauLJF3hppYrzPpRaJhMohQG4y+O/FDxJ57SRAL1Jn0CIl7TFHs563gYk2CpQvyNqDn+ZcREvcYOpx7XlQ696TVIZ5XFp2UOuW58M3M+VWyjoUN0hIKqclN3kBcbiJEDSQIreScqmUmgtp6ReDB0P9hY6dp+LPzBwCADvV01pTD99RD+CSP75AEOPa3s4IC8r0qubv09mkn69DkDLHxUkc1OTxUuhkRwuw4XNKQSbHdFacxJWslAAiJCFdTrozLiyyuFuw1IMf/ArpjqUz5VzXEVafgck2WKLljkF8Xifuio3gzyTB7ZRzW1XKVXyfZbazQaFbr0ZLtnc/ZSgA+njKfe5yd5XFOnRsrhDFRbcZXBX8IgjlXlnVlrw8vrW1CJ9IzRJgMkSv7TZ+P3mwQ7utoFSJVnqP73DZP230fj1+KxIILIvInEJdlwvCQITAP2IQl7V7GNQHiiVdSNp03oXvC6nw1O2edZBsgLm0tV1kEsAiYaHr6tsXtQf0l+z2QNFO0XG6swqPJcyX7AbYJobZeEaLS72SSLrE2B13jx3LfKwep8JBUl4MjlRfR/twYtD7zNLaVnUC7s8+h27lxkvcotctsspEap06Pkw/gpoSpCIobiV1ltnuLiKYB4NnUT9Hm7DOyx7gzUT6Yek/QIO569twqTNW4N3EGAOVEjvrSz68jvm//GmI4iRMENhHuzczliI1/CUVWAdXdwQMVP8NDo8OXbV+CecAm7OgyA1s7v4/ZjHib3Ne5hhIExj2K6y9NwdBLbyPs9OPCPl8V/IHz1em4+uJkAIC/1gd3BVk+m70O1LQJhYwgbG3xIVlRDkmUk4PXZvVh3KKntXoU5gGb8GbLEZJ9AccD4yWGCnQ4+zz+d1FZfEr3EWr6rUN1/7X4pu141dVJdpbHIfz0KOTrSyViTkCdk+nIZNvz6/P8LSLhkCtcijaWSEWGoacfxy2X30Xo6cdRa9LjnsQZaHPmGVy2k1DzbcGfiD77jEiADkgTYbrGj8Xu8jjsknkGVxprMD5dOpnV+dyLCI4bKYjtY73bYJB/FyxvP0FyH7L9NZLARvrknhoPod+SUJuFHWUncawyAZ/mS0tnA2LX1k7erTAp8n7R9ipTLdqfG4Pw06MQc/ZZ5u+3jFmGBvTA2PA7uMe/N3gwzAM24ZEQyzPhz9ITou2s2M6e+55cdRDCj+1fR5Sn2FGznXek7DjJUcjzbHXxfoSdflzSbwOA56kxcaa+ED3ix4u2b2USG74t2AY5Psj+Gf0uvIaYs88irsomlH4oaTY6Mu7Lnc+9iEEXJ2HQxUkYckEs7Lvh0hR8kP2zsEwnU12iKoLcxukHsPT164AfO0xCd98YoS2hx/tvZS7HF/mWe6WFh/h67eXbDpd62u4BXlK1o7DJhvPb2K5TE8woM1ahxeknEHVmNP536U2Ri7Na/E89jD/LxNfufUkfK7ovO8pH2b/Y3afEUIHw06PwRMoCh49/2+X3EHP2WZHDfnPiy4KtaH9ujLD8Y/vXEesTLRJJsw7F/o3kbnlzwjShwsuIkP81ymfK0e7sGLv7kLHqNf7dbGMkMP3f2NnoS4kZ6eo9lZRAelvZSfS/MAHfFW63HjOWG2/7rmC75H6+K3G6yMFZCTahjnBv4gwEx43E/dR4hI2XpVhFtb182qGNVwsMsiO+A4BT1vbUT+uN1e0tfcjUOvviXNbpHIAgIN9XLo4RsBUjiTv/8arLIhEu29djBauBcY+i07kX8FGOrY2I8AjGHGrMuqbEsYqbrkCuchkgbtvP9/wSTzCVT9TQwbulpOJle69IDPDrJCQB3BTQWxJvm5z5PQZeeB1BcSPxQNJMBMY9KjyTCCNCrnH4fFgmpH9Xr/ebYZZUnSHJhM+3sBjXlBgrsa1c6gg9t83Tkv6h3PM0/PQohJ5+XKjQo8THOWsAiMe4gKXaHz0GVsOkzGVoc/YZLLW227RZwQC/Tijp+zMyen3PfS+dSDwm7XPcnDBNsk9/v44OnY8WWklcj4e3xhPPUZXYNI1czWBUykJcdWEiep9/1WmB1MuR94iWWeH3/Ohn8W27l/EAcx/QJilJtTmYS7nNk/kKtZBxMK9Ch6PYc+qvMxtgMpskiaI/tJ8omcO5N1gcd8nVl1j6iKftu7cazEZ0jx+HbvHjsJgZV9HmIrcF9cczHEMWR2P0AHC1fzck9PwGe7pYnoG8xGzWpGVE8mzusZZYn+MAMDJ0KJa0exl+Wm980PpxfNn2JbsJN8RkhiS6vB55H/Z15X+WHCTePMC3E7r4OF6R0llan3lalPBrT0RZZapFx3PPo93Z5/B3Bb8qMoHE5y6pNBly07AQZ2SauYfmYuwWdXHofzL/4a5PKUkROYq3DRZXTwz1VVfRo750CrPMJ9Ua1SXbKFGlr0KnTzshZlEMTuc6Vi2dpqKuAi3mimOtL255UWZvMUGzg5x+1u1J3aNqP73CXJKjyAnyPbQe+Ojmj/DiQHV/t6sJ9rHND9QZm6YyW52xDi3mtsCgJYPw2LrHRNvY5HMlBi0ZhGuXXQufj+W1BnQyQs+Ino6frIOQfogjf4cjTN09FdcuuxaBs9TPzbtx48aNm/8ubuG6GzdOYDab8eNpi0PHp0c/beKzaXjUZO/KYTabFQdpZbViZ77He9sEO7xMcgI9WPeghID3xapzUwQswrZak14I6pjNZq7Yd2auVFjdzxocVZrQ4DHGGqTnuVEkUo6atLMSeQ/gmBNwrqFEcD7MY9xnWew50BGRzqEKscP3Z/lbhNdEEMT7LNrFmr0etspM5NHQIkEaWrhosv6OtNMdWypSLTWmOmHyQ+k7Z91Lv4qxia/J5IoagVNDZDWzE2EstDMNK/Ikgg82OE4zu43UQdURR5L6wE6q2ptwWdl+gupjk9+bFqs902IYAH5yR4aCC7Er6erdGsuLdovWucIZnP2b2AkHk4MuQnLJNSazSSQmaePZQrG0LSB2g6KhnYUdSdBgHYlpQRmdOPSgC0UbbLIQcU8nkLaxzGSbxN/XdZb4PdbfudxULTjeqEliYtsnwCLgVstEyp34NPX9APbbFzVMafmQZB25lzeocP9KV3A9ph2GrvLrjE+jX8DdQQPR20cs5o+rShEts06lbHIFAOTppW7uPEZyHN5ZaOenF9K+EF7/YHUPzjEUS/oZStc8uy9PzNySKiPOBibHUaJTevKbJOooQfel6GfKOy35TjFKAk01E+8NyTVUkhIgTXq5J5gvxleCToi5J2iQxL2Tdommod3gPDQ6W9+C6ZvzBKYsbJJaG68WGODLTzYirtpywWvijEn3uVi3aZoJkcMBiCtflJuqUW2qVd0HOlB5HuWmapyqTuZOyJLj9PCxtXP0M07L9BVejrgbT4TeIHKmpJGraqOmX5dBTbxPzFiqmNQFAOs6vG33mLTTmYlJ1mS/w0JDGXaUn4IRJkHwVW2q5bpfkySFl9O/EY5VbarFAI5o5rO839GbSVAALAmyakRxAETO2AAwvZVt7Pd125dEFS1KrQI30qZ4anToQT3HvivYISsIBMSO64DtOuTBVo4g7akHdLJJfbOtzwhyb7HJEaxoyx5sUkN/3464PsAyWfVKxD0NXpr5pkBxNYkcFY797H1PtwkA8LFCgvKHOatxuTYbZphxpMrW797EOO8D4n7SecaN8VClvOiimnpm2kscYCHP91qTXrjH5lFOr9vKpII7AJjW8hHcFzwENwf2cejzaP7q8jGu9o/FH53Epdrpyks1pjocq+I7T5L+FM/1Vi07GSGfkTOOV4LuR76b/RMMZqmrOI2Sy2aERzDMZrOoDas16YXlfRXnUGc2iCrMNCVsIuGkjGWiZZLISleXOc+IKXv4xoiW6cpB01s9jmv8u2FTR6ngUY59XWfhav9YzGsjn4jIE4e+HHE3Z8+GoUIh9kAgz/JSY6Vwj9aY9EJVKl6FsxiVTqF6s1GU+EueGREewdxnv71kapPZBLPZLBn/KVFHJSoDtucYSTT8POZFDPTrrFhFhlSeqjTViO4rpQoYANCVI7Qj4+W2CgmfgLgfGk45StOJAgBEjrQ09Jh5bUdxn+j7QvlxSJ01pqu3ijtdgclskrgzA8DY8DvwVNjNElH1nDZP41r/7lilUM2JB/vdkGt7TYc3McivCxZEP8t7myLvtnwU1wX0wIMh14hc65WYEiUdk9NJ6v/z74Yhfl3xXduXAVgcl9kkY+I8Twu42XuGVDHsRd1jvHgFbzzBa5vMZrPQ/2LbT3ofltVF+6TrZKoiyLEobyMAWzya7W8CNlduFnvjiBCdP16j+qukbVsc/bxsvDVQ54tQayUAJerMBtEYXKlf3BCQGGtqXR7KjFXCfNFN1mpmbB9SDUoJV7NajxbMEkjVToPZiDXF4mSYapn4Cm++p9pUK1x3JGaxKPo5DA3ogd87vSfZX6kPxsb9AEvFsjuDrsJD1r+r1FgpqeAzLLAvBnDGloHMOORI5SUAynF9QomxUnYsT4vHx7S4FRqNRpIMXJ/KGIP95ROyvDQeeCeKH0/q59uBO4/nzHXExsGdST4lZko5BnUVz1wJ/ay3N/7MqCsQYu0XazNl5zWdHT+4aTiGtuXHmL87qS7ZrLSWPze8+eJm7Eu1PRvZOTZ7CTaugugAlNyo1ZJWmobiGsu9GJfjnPkRAKSWOFYJjDVVo8XgSk7tLFH+UcJrWvfAUh/NBmDp85L+c7WB/6zwVDC6awyCvG3jiiq98xVb6kN+pXxyvNqKBwAQl+vYtXhNTP2TUe3R0I7rsw7Y+jru54qbpqLOWIdqfbX7GnTj5grALVx348YJfD+2iU2OZdkX3V7JZJVnodWCVhi5dqTD7zWbzbhxxY3o81Uf6I38SZJLhZdEy5/eYUsEUCqHRA+aaBG7p07dYKrLuRfhc2oEfE6NwKCLk2A2mzEsYRoCTz0qcpYdkSQNJAIQgoSOBudI8OvtqBHo6t1GtI2eHD5kdT1ooQvEknYvi/YzD9gE84BNIpG0HH9Zy/0SF1s5HpYRhhP3zGSqNCQNCYQCNke9G5lylYAtCJhQm4WQuMdEkwVeKgRqhxjxEBHv6CkHvB3W0q8JtVno6GVxPnk1fYndY7MsyF0P31MPCcFdD41OEPqxQjsd8xilHbmJIJUOIMp1jnUn70e+XhpAcmbQSALzcoIrwtSsHwXxwKpi8eRNjqEYz6V+KhHx0NzFcZx11JHEEegJZ1q446PxgmnARsX33u2AyJCIC4lQ97kWt+K+EIuojSemdNQN6Sqrw7KjfFXwh2SdK5zB2XLoO8vjhEoKtSa9ohCRh5zgVHfyfnSLt7lHZ/T+3mlx6tEqW7vje+ohrCs+pOp9rAifLJvMJsFpcFrLRzBIYeLEUejf21PjIRGdmZg24ZPoMRgaIHZUoBOdiDBQzXfHtvu3BPZ1KNmhi3crPB1mSdqYmfuryMnM0WcfLZYmhHlI3Rb+qUqQTDwl9OCXo5QTcP9Zehx3XP4AgMXR/Fi3hRjk3wWRniE43eMzmAdsQnx3i0g8x1AsqhzCCp56+IhFQwDwcOi1omW5+5B2RZWDdmulxQt0osCjyfNE7xmRPFtW+EUm/0Oo58D5arEQLMdQjJHJ87CqaC88ToorNtBOSr+XHcPivE3YISPMY9GevA9msxnXXnoLIXE2B5IYr3Bu+W2l8sVKFWAag0CdH8wDNuFBq1MbPVl8X/AQdPOJdviY9L33ddtxql3lV1AJS6XGSlEFBkKVqVYQmHweI3XBGeLXFYD0+t5VHocT1fL9w+8KtiM47jH8WSp2UL5ckyUIR2lBWwinigJhUfQYmAdsEpV3D4l7DH6nHobu5P12E0FTa/MExy8AIpErAPxUtAchcY/hrczl+Mbann/QSuyEQ4tjHg0dis9iXsSPHSZhfad3YB6wCes7viPaX64PxhPZ2IO4Qb8acS93+4OhYtEFm2RjOefrhHtpds5a0TY2UZNeXlW0DyOT58Hv1MPwPjUCRyvFYy8ag9kI3cn74XfqYYmDJ2BJKiLfL433qRHoef5lyXoebCWjx0KvF1539W6DR0KvwwPWZILRqYuwKHcjtlsdOT01HuhKiRHWlBwQOW2zsN9LK0/ps4iG/s1/KtoLAPir4ozE7Q8AivqsEkT011mFRN9Rbn+AcjKHHLTA8UT3T7C36yyYB2zCpzEvyL7HVZPJbBKHMyKUS7WZIgGjUnUUGkfmD4wwqZ5wmJZtMRtwRkROXMifS/sMupP3S8Ru7WSqas1oPQobOk2t1+9yY2Bv/B07T+QaDYifJW3OPoNhCXyHdZJEYYZZIqJ2hmpTLTxOPgDdyfuxghKRTspYKtnXAzqYB2zCwujnROs9Tz4Aj5MPyPbb2T5qqM4mwss3lKJr/Fh4nxqBkcnzcKAiHmGnH0eL06Nwylr1DVBXaaahOVp5CaFxj2NMqs3Vlm2L6L79jFZPALAIIenfiohG3m1pqV6yusNkIQ70XquROBQ7F/eGDFZ9XkMDelquKU7yEeFybbZE5D02/E7htSsm+kjfmlSQsQf7LCa/8fDgwUKfKFNfKIi1ecloGo3GrvAasIjdPDUewvf8VNjNACyVkQi00FNJ2FZr0qN7/Hi0OvOUqGrD1JaPKJ5D9/hx8D31EL7I/x2Arc9BnjOD/bvin24LJd8fXbFknzXZamToUARRiZLep0bI/obnqtPwICf2SUTG9pLT6D4gHUNKYxKNM+0k/d8RNEB1ovW56jR4W2O6XicfxMALr9fbLfCzvC0IO/2EpOLEqW6L8VXbcVjOMURo49UCB2Ln4LEwx5zXbwnsK1omYsO7gwfhaLcF6G8n6ZFHX98O0Gq0WNdxisi1XokH7Ti03xc8BIe7zcdz4RZDFY1Gg72M4PZ8zy9hHrAJlf1syWp0e9bmzNNCUpqf1lu4XvaUn1F1jjzjly2lNufYP5lqL4Sx6eIKUmazmRsPcUSkyhuznKKqxhDkkg3tOVMf6DpHlAhJEqpfjbwX+7rOljiMA5aqhxFUwgjLBusYxwwzCo22ClyL8jbiW06/viEoN1aJ2pG3slbg0eS50J28H39VWK4DduymBm+tp2wS8tstH8LfXS3V9PRmIwoMZfA8+YBQWZOwqngvrr8kTpg5WnkJIXGP4WUqsX9JwTYEnHoUu63zLD7WmNwEqzt3Z2vlCRo2cZyGjfsBloplWzu/L1QKmZr1I8JPjxK2T235CHZ2mSFrZEELTunk3v12KmuyZjY0G0qOIMBa3YkkSMyPfhaG/rZkTmdNgwBLYqlcNRGj2cStJAkAZgAPJ8+B7ylx8o2aJA4W9rdgn11qIEngVzMmCI0BHfu1lxyTTSUmT836ASFxj+EA0382m83QnuQnyJH5NjeNj7+XP8zv8/txJTUldt8vJ5y+UCBOAmfHsI1VncPbwxJz2ZVs3zhFicKqQnT/wlYVdvSG0fj6GH9ewR57UvZw1/ME45eLLuPuVeKEX/Kdv/bHa/Cf6Y9PDn+i6nPp36pfy36y+xG9Ra9I6Vw8gZgvstQZ69Dry1646turUGuoxZ+X+f0BRwT3DQFdOcsRkbgr+ezoZ7Lb1I49PjsifwwC6+ZOJzA0FOT7bQjhenKxuH+s/dAtR3TT+Mw9OBfeH3nDb6YfRq5zXOPmxo2bxsX9pHDjxgnoklUxQVJR07+JtfFrUVBVgF/O2S/vzFJrrMW+1H04l38O8fn8ScS00jTRcpivzZUkKkC+c359u+sRHRSNYR2GSTJ/WwdK3RXYEo6XqVKHx6suQ2824K+KMzDAKBL2yLl2dfS2nBs9CaUGsr+nRgcj894vC2wCkUy9ZUKHDiqzqHHXJIKJbAXHvNFhNwmvt3W2JQuMDb8DSbViwTrr8Eg78xFnpUDGRRQQTzSUm6rxWMp8YZl1XeZNptFuNb93es9Wup0aHP5BTVZEe1lcZp1xumCdAT2gxdJ2ryBE5y+ZqGJLitJiHPJ30ZOISs4XPGGyGldPQrDOH9NbPa4oEGEdesjv+zfjVGg0m0Tlyom7EmEt5Qz6dYxFjOwKB2YlfpGpCnAkdh53PYGcn1oyGZFRkcF2D4ZxAuCOikGOM06jaonyCBEJDcI9gvCliuQVe/AEoh9mrwZgS3xxBLUCJUB677OQyRHJ+xix/W6V58m2LESQRYtSWYf0+uJBdbV51wpp6wk8gXdLzxBV61gu1Nqcxzygw6iwG+2+h0YLregYdHllOglgRbsJdo+1KPo5+Gm98WWMuITpqxH3ItozXJi4b+ERKJk0aefNF4bJTY7dmWh7jslVG+lI9QkeTp4jvKbvdwC4PWiA5L3sb8abPO7v21HVb0QnIFxPTZbRrlhFnH6AXFIReSbSE49EeEfzS/F+jE5ZZPf8JmR8h5+ZxCYlSo2V+LvygmiC1lvjKXGytwfrat9U8Bwy32/lXJDruoAeCNL6YaBfZ7T0DLEroCWwQiFeNZeLlMsgz3Wu2Nou2+tTrG4/WRB2dfJuiefTPkelqQaTM5eL9jtKOfzSouMRodLPZpFLnrEn8D1SJRZbH2cSc0alLES5qVpU9p39/fpQz9CZrZ+UfAYrvC+Tcaerq8fEvBo3WQBIqsvF3DZPI5B6DpphFpI02f4kKzaopX7rczVp+IVyklQSLmTb+R3knsuOwI4T2ntHordPO3Tzjhba5hrqO3490yaMHeTXxaH+ZjIzjtFpdLgjaABXAMV+7pYymyDqNU7CAX29/CUjvFqct1l4/XbUCO4+LI6OLQFgc6dpCNMF4sf2rzv8XhpWoO/IOITmDyrZ5QmVfQ/WncwejrrZ3xl0lUP786DHrwDwkVVw3Byhx6T1ERMRjlba2v2nUxcLrxfmSZOH7V3DY9L4k7bs9XaNfzeRiJrEb34p3o+DFedRZapFhalaNI5lK2s0Bd8WbEOlqQZLC3fI7kOPCeh4Ch2zEao+uCBRmeZq/1jZpIvjVYn4teNbCNMFYmnbVwAA4VSSpTPtE4vBOv4aFXaDqiQ+1imW9J+KjZUSIwgACNDxnxFqXM/ZcTGdPEF4lDJ8kHuWAMC+irO4VJspqqQIWJJq1UAEcOS+YBNlhwb0QA+fGPT37SjaD7DFZYqNFRgTfpvofXLxxTcyl3HXE2Hmyeok7naCXBuey8Tj7D1XzlWnSdY9ScUraTaUiCt0naxOQq6+RPH49ng141uUGivxRMpCYd1Av87o5UDVMrV08BLHu28L7M/dj43FKXFLUF/7OzEoJZ4CkFxDANCROvcgrU1kTV+ndHUoup9/lV8nwe2XvT8AaWI/IB67k3jJ3oqzwroyjkM+YDNXIdSa9dxkxCgV43YC7xqj+4z2oCuq8iDf4ZzWTyHSI1iSDP99u1fRgooxA0BPn7aS9opOjOjnK2+2QSovNTTnasT39pnqVPxaclC0ztn+ilKVSFLhpM5sECW6sbCJb4vyNqLSVCNK5F1euEv0WawRAz3GIQIwOq5xsKst7sQmTLP8IlMFwJ5LvlxsbnyasmhT6bvfWnZM+LvpfpZOo8M9QYPQ17cDtyKXI/jIGBeUm6plE0H1ZgPWlUiTIdn7Qw1dGZd2NZWBAf79TCfVNBZambgzb+xOx+qy9EWoNNVIEsHZvgI9r7W5k/pqP24aBtr0jXA27yxnTzG0k3mEny2hs2dkT3QMtTwnekf2liReDWrjeMVJZyDz+f6eyv0Se/A0DC/97tz8WVE1Pz6WWyE1eJu2W3pvkO/806OfwmQ2Yf6h+ZJ9eNBicSVXdb01Dqjkyi5HWmkazhecx6mcUziZI29Yk1DEr/DWWNDPgPomqDrLnINzZLepFdO/+uerdvdZfXa1aLkxqh00pOP6lF1TXH5MN24c5a2dbwmv15xb04Rn4saNGzW4hetu3DiIZrp48JZelu6Q89D3J7/HNUuvQU4FXxxnMBlw5093YuquqfU6T0JCYQIGfjsQP53+yan3n861CQLZgdLzm57HwG8Hyv4ttMt6v2/6YdCSQaLSSpV1lXj4V3HJP7Ul0EN9Q5E6IRU7ntwhec/lV2zC0K+jLE5fibU5uOr8RGhODMfNl6TfbQXldLqm5AAqjNXQnJAGBPd3nQ1T/42CcMigolM/J2cdbro0FdWmWiGA5KHRSUThNJOsE0cvUQ5XLB0ZMT4PEnzkiWWN/Tegpt86rGg/UVh3W1B/mPpvhKH/enzVdhzusbpqP5v6KTQnhmNj6RHRMf6xTmJXmWqFQDTPWZU3UVhn0uPmS1NFgnOAPyFK/o4V7SbgruCBwiShnOslcRylExTUkFKbKynD6aHR4a7ggSjqswqPMM707ACSnrwMs04c0AHgFIXfnOfyc16hZDrNIL8uKOrzE95rNRIPh1wru9+KdhNEZTY/y9+CXvHSibDbLovL0j/HTFbR4rQXI+6Asf8GlPd1PLmFx9nun8M8YBP0lHsLAFwT0E20bB6wCcb+G9DHTyoaNfXfKPx7MeIOhz7/5oDeomXaeSWc42IkV5ZYDe28IlHX/zeY+vMd4/v4tkdSz28BWCb1Hkm2uAXdFNAbeb1/UO1GpoQPx7mbOPcS5yMA+KPT++jHEeiy0I6WC+w4TvMEvzQ8gZ/ebJA4NX9ZsBWaE8OhOTFc5ArOwgZhMvSFGJf2lcjByNVOInSbwLt+WBH0tQHdJfvoNDrs7vKRaB3vWEpU9f8VT7UY5tB7tBqN6PvYTjlvE0efcI8gjG5xs91jjQy7HmV9V+OliLtE6xfHPI+0XksFgfgX+Vtx62VxiWVPjQf371UjhiZOiSysMGVn2SkMvPC6UL6a3o+9P//nL26LIjyDkdxTXN3jeLdFIlcQOTQaDa71t/zm31MOpil2XA3ltv9jFRTTvVI5oaxa0R99XvbgJWD5aD1ly5oDwBKOGOPxsOs5ezY+rEhoW+fpTrkfApZKPYV9f8LR2AXQaXTQaXQi0bdayOT7pMxl+CBrFQBgT7llkqqrdxu05Ajin2phEfykKdwzl3t+g0fDhgqT3XQSD50o8UPhX3giZQEAywRphGew0G9U42aq1WhFE6uEHIUES0CaoPRy+je4JeFd1Cm4w+mYPhq5n039N3L70G08W4iWv863Xc/V/dbi49aWZ8URBcdyAPg8b4vstus5zno8OnpFYXLUgyjpa5tEVur3s8ms3ePlk/aUzt9ev1mt8F4J9vf31HggrvunONfjc6Ft5rl/+mi80MWnteqxIiAWohO2dnofeb1Xcva2VPKYm7NOMgZk+1uPhFwnOg+5KgylRlsp41ltnlJ1zv0VxEVyDA3oiYI+P6oWicvBfrdswp29ygiEs9Z+5MycNYILfU8f5T7rS+lf4emUTwCIE5blUHsuhDeiHrC/k4PwnDKbC3SCR9/zr0FzYjimZv4g2S+O4xJLSKyztQesKFVzYjjuvTyDfYsEXoW4EmMlEqm2Znd5HHrEj8f72atE+90a1BepvZaii7fUlIBOIBpHuaH+WnIQniceaNISwPS1qfSMIlwb0ENIys2sKxTGNDvLLdX47LnzOkqgzk8YX7L4ar0wxD8WBX1+xLPhtwIQi57YZCC11Jn0uDXhXUzKWCp8P+29opDdewXy+/BdAAlsYhapuNTPtwP8dT64iRm7t5cR5aupVMaOi9nxh6fGA1f7d8OzLW4BAJyhKiSxlDNj0qfCboax/wbVFXcAYFPJEaEdZmNFXlpPnO3+OTZ0ssQ2K0zVgpiDCHpvDewnVOMj9IgfjxKDON4F8MW4AGRdfQnDrOJYOeF6Qo3lXt9cchTeJx/EfUkfKx6P/rzB1opBPxT9hfezVkn2JRU1aHhJy1/mb8VV5yci2U6C+kfZtngWSRz21ngKfXdXMzJsqPDa0H+9bLL2c+G3YYCvuvEH+3urIYBjPELDq5LmRY2laXdjrUYrxH7lYpn9/Trh0dCh3G0AX4TsrfXEp9aqTTmGYmhODMeCvA3C9vl56zHkwht4NGmu0P5/ky91Dl2Yt0GItdO8n71KlTEM4Ji4uhWnP9PPr6OiuQZJVnqz5Qjk9F6JLj7iZ2B/v07I7/OjqMpWgM4XWo1WGJOZ+m8UmRY44kAdX50mPIeUqjT9WnwAPePHY2fZKVXHZec/eA7f7VSMJXkoja9I21lhqpbEmVjyqHawhGPIwY6h2P4JLe695uKb0JwYjvbnxgjr/hfQXRiL3h/Cd4knyMVe7cUBn2xxE35qP0my3l6S+A9FfyluJ/cH2xZu7vwuTnb7pN5JdmwlUEKMZ7ik0i0hntPGfBEz1qGxIqG9tziRSG2FvemcKgE884uGZlXxXuE1PU9WYarGc6likTOvcuWu8jhR37mQMcrY0/VjmPpvhLH/BqHimJum45Uhr0jW/Z3ON14DgJyKHGimazBh2wQAwNP9nkbuG7m4v9v9ACz3dVKxJbFn3KBxonmAR3s+6pQo2hliW1iqFVTqK1Fea+mHnco5hX5f98OqM9J+IMuelD3QTNdg/Nbx9T6Xpzc8jRuX34j39vCfG+vOrxMtV9RVcAXzqaWpIi1JZnmm3XFqakkqNl60zUPIVbEHbIaAnlpP4ffkcd2y61BWK76v6USGcb9b+iWhPtJ4cpW+SrKuMdFoNML8O9GmFFYV4pql1+CTw5/g4V8fRsyiGNVu9q7GWTH9poubRMvT90yX7OPM88xRyHfbEEkBek5fryEE8lci0/dMx60/3Io6o3xlHjf153z++aY+BTdu3DiIW7juxo0LYEtqKfHspmdxOOMw3vuLP/DZmbQTf17+EzMPzHTJuX2470Mczz6OUetH2d+ZQwtfm4gjpSRFeF1jqMF3J7/D8ezjko42ge14Hcs6hr9SbMGwf7L4LgSdwywuRLd3ul3x3LQaLbcD7+3hDS+dJeh1l7/NteZEtUVoR4sxCRco8akHdLLuFn1920Oj0QhBOTWT5m9nrcCeijP4vnCXEEDy1HhIJ4CtgQE6gMubqCWoEb8Qx0XeBIZWo+W6LWs0GiEYyQvW0nSwBvfosoSdOOUxeROFO8pPcX+LOk4meY31OyETWeT7l3O7pv9eRyaun+M4wJHPUjNYpPchTrp0UHBPhbwDAm+S1Z44ilBoKBcGmrzflNDCIwi3Bdnuic/yt0icb1jutpah5gnNCHL3ojMQpxUPjQ6zW1tEPouYUvP05/LQaDTCP0epMosnrFpQE3WBHLeSJAcduonwDbA46XpqPCTnSaogTG/1OFozQjrA4p7mqu+bNxFJoEWOZgAfWp0lX4/klwwFxJPeV8k4yt0XPASAfXcvXsKLPcEELa5mYStGLC/cJRHavhiu/NxxFHoCh+fKx06QyokZWBGXo5PnSo6ALDcH9oGvxgvDgwfjzagHhfXvZNkETyutE1tyzt885M5Zo9HYTYowcgJbap6//f3sCwCvD+iJWy+/h+NVl0WuzqRUtUajEX1/vO+yBXMfOXJ/KomJ5ZAT+UZ5hAAAuvnYHCjJc5ytVOAs1/p3FyWo0MzIlgbq/bU+OFOdKnu86ziidnvPpcaC/a3lxFBq8dDoRNfGRIW2VI7MOtuk8/QcixsLccnO47gWfhb9gtCW8srYE8qsAlvSF6VdbunqGKNTbU79RFhC9xvVwBPhsdUOWHjB7V3lcSL3d+nnSM9JqW/AOr3R7YGHRieIkO0J9F/J4AsC5c6J8AE18X3OOhGv1WjRy8dSHn148GDZ96oV2wDK4pUTjJN9Q8BLTKEnowB+YptS/1aOpznJSxqNhlsdCrD02d/KWiFZ35FxRaUTngHgibAbhNf02OQOJ4QLH7a29LUcbR8aYlKLdcalRWiscObFcFuiKBn3Tc2yiQrHMYlrPFYU7QbAf+azOCpcbwgccWhtbOgklOQ6S995Zu6vkv3oNp30zwmtPGx9T15ip5zD7APBNjGWnLsy7co/OWM5ztekSxKU9pWfg0ajQUJtluT95G/iYYDR6QpXroD+ruSq91UaxW22v9UlfBtVJYf8hmqcwh1Fq9FyhZNz2zwNgIlpUG3vxIyl7FtUsaP8FHaWx2Fh3kYhcVKn0UKr0coKysnfzSYgkWVyXmwFPJ5QFJD26WiXaEIs1X8GpFUobrc6YhMBoFIbwD4nAnQ+0Gq0ivE9llXF+4R7iGdyoNFoRGPHBOs1Q6oPVlr7BnTyQb6hVOIsDFgqHPDo4aNcYXRK1EMAbAJ2ljetVXt+KPpLVRWP2a1HC6+PUv2wD3NW83aXwH7vADA+/WucqE4UVeXhwbpzA+DGalzFQL8uACzuwPb60SSWrcQ3bR2rNEhQEsLeTsUOWV61VqOZZ203CMSIhFRH4lXkU0okkXMkt9euH626hDUlB4Sqm5/kSecp6H4Jy2/FUudmHjzRp1zS4WdWsf2TYTdBBy2GWJMx+vq1lz0+nYQsd+1pNBrhmU1XlCJjMo1GI4hnu3q3cUhUPCfXJsZTqhzybOpniK9JV+3YzvbbeAkA3hxTDR4kPjyvzTMALAmvnhoPbrK8I3Gw8VQiHC8Zp5dvO9FyBHPv0M/Lo1X8WL7aODXvu4jlVBnhwfu97QnlWcdtOXiVbVzRRgbIVNR6qsXN8OdUSZAjo67Aqc/3Zq6T91qqq7IX4SmN377b8lGnzqE+0Amr7DzZssKdolhBjUxSZbre9t2xSWCdvFtJxutumpb3rhfrClhRMs2iv8XVNvtE9rHEua1tlsFkgK+Hpa8Y4Rch+p1pZ/aGJsQnRHhNHMCn7Z6GuNw4PPGb/UpnH+z5QHG7knM5TWlNKVbErcDe1L2y+7AO5b+c5Zt5fX70c8m64hpl0453/3pXtMwT/xJI//F8wXm8frV89b2D6Qex+PBi0bpaajxK/p7immIsul18vTw/4HnF820MyN9J3M2/Pf4tDmccxsRtE7E2fi0yyjLwzfFvmuTc1F5XLPetFsf7Ptj7gWiZaFsaGp3W8t02hKC8Q4g0rksnTPyX+WDvB9iZtBPr4tfZ39mN07yx4w3JuqY0uXDjxo193KMNN24coLiaP7BwZuC+5MQS7no6i1XOyVyO0ppSaKZroJmugfdH3th4YaOQeQvID6IIxdXFeGrDU9idvFtYR3e+D6QdEF7TYv1X/3gVb2x/Q/TQzyzLRPg88SQSAMTn2yZJ9qfyxeHx4+JR9GYRWgVKBdBq0Gq0KBqbjPLwhYjxbCEEi5WgnSUNMGJV8T7JPiV9f0agzjLBpSRc15sN0JwYjt7x4gz48elf49diSylMXqD+7qCBMJlNeD7NNqhVmuQP8whEcR9xxvk/sQtEyx/nrEF8dRp2lJ8SrU/vxS8FzPKAneCm3myEwWzE/Yk25ySeIIYXLH4ulV8mPCDuEUlpxUPWEuDEBcvTTuIAHfR0pJQ8O2EO2C/P/XLE3dz1RGRvhAkGsxF6s0H4be8LHoLj3RbhjUib+9/o1E9wmhGVkb/vrqCBsiW9AaA3FUBnnUroicpArS9uCOyl+PewLI6xBChY59KGgg7Qv9VyBHJ6r8AEJ8R9zjLEL1a0TAs0tRotKvquweHYecI6OXcxOd5p+YjwuhPHPXWgX2csbzcBub1X4v6Qq+Gt9cTjoTeI9hkvc805w0Mh/+Ouj69Ow2oqgafaVIt7QwYjq/dySbliGtopjDfRPSLkf1jb8W0AQAQj0n6BEY0bYJQETlYU7oYST6QsxIOJM3HjpXcwI3s1pmf/jDk5liDAZ/liF1xWoBfr3QbXO3h/2INu63mCg7usiSEAUNZ3tci9jEbp/nc1f3b+ABm9v0eUZ6jdCS5XcUtQP2HikWZvF0sSH93WEycrnviBdrY80W0RHuC49hLIZNS+inOSbVOiHhJNVnlQQybe70i3s1s6vSvZrsRdwQPt78Rwf9JMtD87BumM6H2J1dl2aEBP4dpamGdxaqk212FpW6kzD2Cp2mGPTR2n4Wz3z7Gn60z80el9pPZaim2dxY4gbDUEwNJuDvHvyj3mxR5foZtPNHJ6r0BcN1sQXY1osTFgn/+8Nrs+DPLv4nBCwTAmaUBvNuBHq8PWKxH3SPZ/OfIeoQ9GxDx9OKW8iXgg1JpQRE9ctvOKRKvTT3ErETkDr0+4qfSoZJ3ZbMbEjO+gOTFcuLZJcgbhokLVEzl3NjnknN4AQAObmHpj6RHZQGe2HTc7JfEE3ebQbpMnui9CYZ+fEOMVIWprXkj9HDn6YjyZslBw5lXDtwXbBCfF4FPiSfk3Mr+X7P9Xl4+RK+NQrsR8Tpue3HMJYlU42A3y74KEHuKS9mrccmlWtZ+EO4Kv4m6TE4i1OSs9ZwAI8QjA2g5vC8svMJWIaCEi7bJLknBuC5QXfrHcEzwIWb2X261a0xgMufgGNCeGY3/FOSzK3Yg+523ljb+MGSu8fijkf/gyZqzg7vlPpVRcNi7iLmT3XqHqWpIb39HieLl9Unp+Z/f4auG1qTT2nIgbg2XtXuUKmW6REZGynKYco9d1fFu0bX+lrX8Ubyeh7Fz3z5HU81sc67YQ6zraSkLLiXQ/z/9deC0nQo9UEAWvscZU5GiqqSij2YjlRbZKNXHVyVz3shqmv0SeKdM54tz6upjK8WLEHaLqFhm9vufGnujPv1CTgfUlf+PhpNmSxMuDFfEYnviRxH33t+JDuCfR5s6faq0aRI4rJ8wnovFKo1iIvKfcYnxA4kILmQR3ufuSTZpL7fUdTncXu5DGMIlpGo1G1Nat7/QOAMt4HZBPzACkSZgkxsETuclRY6rDy+kWEYZc/4H+e0cmz4PZbEatNYZLHGMLGVd7nqP1PzKJgF192ogEcSzDgixtjdz9WmayxLd/LRHfszcE8MfcD4byYxMscv2woZfexvi0r7nii68L/lR0E6T7vgRH+x6OEKTzQ0nfn5HRW9r3cpSV7SbiBeoZ6QgeGh0q+q7hVlD8LPpFzjssfBI9Brm9V+JhpiolMWE4U5MCgG9MIlflbrBfV/TlVFQE+Emaz7W4VbLut5K/sab4AC7U2q+MSJvBKDmpp9flY1TyAvxTmYCnUj+RbJeLm48I/R9yeq/AinYTkNn7e+ztOgsAcLV/N9G5kyoOgDRhRo5or3AU9vkJx7ot5G5v6RmKwj4/4WyPz0SxDAJJOgGAwRcmQXNiOGLOPCsYFAAQJbn8WXocz6QsFpKdSRWmpDr781bVplrheyNJQ7xEdbX9qgmR9yGn9wqhmk4H75bI7PU9dnaWVoLhxW5Gh92EnZ1nSKp8HqaMY7ZxDDHiqsXxel7sjvd5zsB+Fy+E34445pklB8/g50I9KoXS8ITrrmBWm9Hc9RMih4uSyj6NfgHrOrzN3RdQV7WJBz02/KjVKNwpM4Zk8dR4iMxpAMs4trEh46IjlRcxPPEjyXbaIItUxmKhxwQXazIBWBKbSvuuVt0uuWk8pt80HfHj4gWx8s7knaioq8CT65/EnANzRPtmlIvv/wlXTwAAwUn9YuFFVBssbfoN7W8QJaO8NEhaPauh0Gl1aB/SHoBNj0DrGuQEr3MPzsX0PdMVheaAxVBPDUO+GyK77apWlrZh+anlQl+0Wl+NMZvHcPf/6cxPknUJhfLmGwDw52VxxRglYTQxDbyl4y0Y2m4o8t6Qr9763p73EDI7RNCe8HQn3cO7Y8LVExA/Lh41U2uQ90Ye+rZUF1doSIi4mvTjeeJ/R4wlXQkR07uaojeVY8uuguiaGkK4fqnQ0q/qG2W7hhKLG94spblD39M1BmnStRvXcTZPaiKp/VCLYSuHIblY3tzJjRs3TYdbuO7GjQNsucQv/U46z66A7qysjV/r0Huf3vi08LrOWIf7f7lfVOJp5Dplx4Apu6ZgZdxKDFs5jHs+z2y0Tea/sd2WrVZrrMWCvxeIOgLT90rLG7HIldvy1Hki1FdamsoR/D39BfHyEP9Y2f3IRNnfleLBDStgvj2ov8jFm7yPN2lOSpKerUmViMrIBJ2XxkNwViSulnoYcK4mTVSi0V7QM4QRifPczr8v3CUJsKp1iGNFvCx1ZgNWFe1FoVHZKZN1IgGAXMoZlA0u3psoDjhHW12niUiYfP96mYkneoJJzpVdLc5OFtPi+RJjJX4qsgVQtNBggF8niUPj82lfiI5B/r4QnT8mRsoLxkZSpXbZ8qpkQgFwzgmFCLnetwqqxoXbd0xUy7X+3SXrWAfwKE91bcEMFW7gahjgZyvD7KnxkDhQ+et8MMQ/VnAVe9GJCUJS0pyX9JBnKLW4p1H3KOuyynPVdRY5B1PWUY+4C7XyDFO8joiLFAAE66ROdt19ooV7ig1+84Tu7AQizy2SpsZch/Wlh7G34izey16FD7J/xttZK7jOWAcrxeXC7nZCQGwPseO6tC0ZZW0DunlHC4lRPNS6T9EQt1a6TLQaPDUeik78DQUvicLLGkifHGVL8iFu4rzJZfq5whPn0nRgygHT+Gq9RNe52HGd7+Ks9nNZunCe22pIrcvD06mLudtWFO7GVVRbRpCbkM/QFzLnJBWaxXiFo6dvW3hodPDSeqKtVwS6qyyhTPNS+J2iYwKWdr6PXwcMtrYfz1CT900J+1s7WulADTyxvyP7H6w4L0xEBsm0IeTvIP2BUJ00wbCjl0WUzxMM7Kk4I7gX0jjr4s/rV53nTKafqk6SuCWyyYg5VJUPFnsicha57w+wCGzoxAU5oeVaO26NSgIojUaDJ61inwlUn49uk99paROZLCncjusvTcGPRXvwUvpXip8rBxGUKdHBK0pWkNbOKxIftnocgDRRYHiwdMKvjZe0iozs5zJtNN0OD+RUdOnAuKJ3tuNqK+cOKwfdR2HHW/TfTif9kaokjiTRAvb7Wg0Jz9n/+ktT8HqmrV/YxrOF6D7u49te5JysZc6dVKto6RmqKEYGLFVIDDLfF50UQPZhnRXbeUfimRbDROtI++YoSlUOmhK6LXog+Gpu/1nu8lFyF9JpdHjN6qALAF5U35PXRtO08WqBDt4tcZVfZ9G121Gmr0WLntmqNQSl77+S46pMEyRTVaGh+aX4gGh5du46oQIeTU+ftqJlpVhKQwnXAVt/62r/WFXt80C/zngwaRbWlhzCxzlrRNteSvsKm0uP4rGU+aL1I5Jnc49FxolstRMCeT7lM66fpA0hVzKvsiCPLKZPEKDzRW/f9ngkxCK6fVAm2XWoVdjayjNM+C1IfETOtRQAigwVomU6CflZlf3cciqOs7XsuMKeFuKqk5FSlyskRhBxv5fW024lhEJO5RuSPO/oWJImxjOcWymK1xdlkaveBiiLML8s2IpT1vgnWx1MTqAvR0Pef4Dl+lUj1rUXg7tGIeatBn+dDwI47WZLhWc2G7MikERZkvDAu95OViWJlsn9924reafiEZxYAa9Cz5riA3g0ea7scWjoxHmla/Lx5AX4qXgvBl+chGOU8zsZM/MqiBGiPEOh0WgQ5Rkqir2NCbcI14O0fkL/X66qmRxhHoGKSbFkO3sdD/DtJIp9kfsig0neCKISZu9MnI7lRbskbb8avsq3VTlUGns4MrZk48QRnsFcITnPyXtYYF8MC+or+V7YBHECiSUqVSElqKksoQZ6rgCwxFDUVp9i+xiA/UpFdLyRPFd591xDCZjlqqUEan1FbWR7r0hcXc/2To5o69zcPcGDHHpfC5181YqGgjwTSN+C/L6jUz4RtVEEOmGSHk/R/FNpez6SZ2eA1kcxRuKmaeke0V3QJGg1Wmy5tAU/nv4Rb+96WyTyZoWRZKxGhOsr42yJ5cHewSKDvuggx2O+9YG4ruuNlj5260BbTOdgujRxuUpfhbd2voUP9n6ASH9lwx81zsb5lfm4WHhRdvuQNrYYV1yuxTxiW6K0Yo8SchXoCb6e4v4Y+S54kN/Wz9Nyn0b4R+D9G94HAEwYMkGyf2ltKVaftSRKZ5RJ+9LkON0jusPbwxsR/o3nuK8E67juyXkekuvZ1RRVK8eVlZJi64O/l7oxbn1pSOF6epmlYiNtTrn54maXf86Vxj+ZtjaArjThxvXIXde7k3djwrYJjXsybty4UYVbuO7GjQP8doFfWjS/Mp+73h60uzqhvNY2YfDD6R+w7fI2zD4wW1X25oYLGyTrNl7cqPp8kkts4uaZ+2fCYDLgz8Q/ufvuSt4lWXcs6xim75mOkpoS7EnZI/s5JrMJcw+qCyS7gkH+XbC/q3TCrIt3a0E0xbpe0Sxs8xx+6fCmaB0JcB6pugT/Uw8jtdaW0Uy7krQ9K3aAIpOsdwcPwttRD2F3l48wvbVF8GEwmySTsGpEC7R4I9QjAPHdv8DFHl8J61l3o0Nd56oulynndnOHtezo+Zp0ruMMCyuwZ+FNCO2vOIfxaV9jcd4mQSBEXLCIMOLl9G9QZqySlI2lj6e2lLzcRD7PnUb0PhlPNzponlibjWcogSGZmOnn11Hk8EmXEz1VlYRp2RZ3LE+NDuMi7sK2ztPxeydbwsfw4ME42HUOHqWE65OjHlQ8XwB4OORau/sQyGTy5KgHsLPzDMyL5rtROsO2ztPR0kM84eBsIPzNqAexq8sMfMS4nThKT9+2OBI7H6vaT8Lp7p/KTiRu6jQN+7rOEglq1bK507vY33W2UF6Zppu3NCj4cOi1WNFugrDc3U7JbkeQE0RvL7c5DD3X4lZ0ZUqny9HDty1OdFuE7N4r4KX1FLkoA2LhmUajERy5AHDd3GbnrBPuzfoEUZ6REfgSfunwJmbU89rhYc9xfWTo9TjYdQ4Od5sn2UbjjIBtTpunsLfLTHwn47KtlpPdPhFek4DcPUGWyRyeS7qztPeOwqaO0zCXKjdOkpSmtnwEn8e8iH1dZ6G9VZyYUVeAn4v2YlzaV/ij1CLmoCdF7YmMlUQY3RhBNj3B6iVzz6T1Woq4boslbo32kHN07axC0L67/DReS7dU8CmiBCdlpiq80/JhSan1Np58UdJVvmKR+4Ue0pLfvLYwxisCJ7t9gj87f8A9Lm/9wujnsDj6eZzqthi+THu/s8uH2N91tmpBT0PjSGnxxoJNwvmz7ASKrIK3+zlCYUDax2JFYme7fy4IT9Q63XlAh4K+UvcgNdDtYlvr/cImEgHSEtU6aCUJb2tLpJNXhBoF50QeSmIADTRCYgXAr9QASCt5sMg5yxKWtH0Ze7vMFLWDNGwfL6E2S/F4znI4dh7+6PQ+/oldIKqkQjjVbTH2dZ2FA11n462oEdjR+UOU9P0ZWzq9i7ejRqCy36/o4tMa+6zOkgRH7imdRicShBdTIsBDsXOFsQgA3B98tURwZM8l9ZcOk/Frh7fwe6f3cKM1oVCJ7r4xOBw7D4e6zhWS+WznajvPs9U2F7u9FWet5yfv2tXcWN/xHbv7vNPyYdFvSdoNIiTZYXVcJn38pe3E/ZDc3iuxqv0kbp+/3dnnUGqstHxO1MOi5widzEBEi/TYmVQU+zT6BezrOgvx3b/A4ujncTBW7DqnlluC+mFf11n4Omac6Hprao53W4QV7SbgTPfPZMfY48LvQk7vFZL1dAIbb5J1VpvRQt+crn7Cc2gmtPOKlBUPx/pEY1PHaXi2xS14NeJeLGxjiY1Um+uEfj1bVeiZFsPwd+xc3Bmkzu2SR4UdYXtDMS3rR8m6PCrBakund3Gq22K0V0ieZGlI4ezdQQOxt8tMbOo4TXG/a/y7AbAk4xNYkf4Zq4NngaEMmhPD0eXci3hWYfxF+qQ6jQ7nun+O0WE34ft2r+H9liNxqcfXQvL4B9k/I19v6Q+YzWbBsb2rVTCq9vu5l0mEIO/7tt14bOj4jmxVol6+7XAkdr6o4hrpR31XuF02hrS+5G8AlqSnLZ3exUsRtsTNxdHPKzrGEmgzjcEqqiMBwLGqyzhcedF6nrY+3bJ2tooZ49K/xpjUz7CrzFathbgmf9DqMVT0XYO9XWYK75GrAMIm65LxIQA8bx2DmCF+fhPaeElFiuxvtLHjVNGy0WzE7Jy1mJ+7Hn/YEfIT8wpWNH+uml89Qu53bEjHdUeYF/0MvogZi40dpyKx57d4O2oEsnovx9nun+NI7Hx09lFO1nMWpcR6OYiY22T9Tuuo505aL0sSHJ2U8W3b8VjW7lXs7zobd1PV6FgeDJUml1ztHyt5PrN99BPdFqEfI3C/yq8zDsfOw2D/rgixPr8mZS4TCTdpDlTGS9a19gzDni4fY3/X2ar6kdJz74ajsQtwuec3uCGgFw52nYM1zLyDq6BFiBEewfiz8wf4H8dEhOUIFZ8msElAADAr51dRTH53eRwmZ3wvJKnJJfyyqDXYcQSemJ2X8ADIGxCMS/8KmhPDFftC9rg9SH31JcCS4PRt2/H4pu04HImdj35+HVW/l7evSWbe4uX0r6E5MVzoH34ZMxYnuy3C8W6L8HOHNzCrtdgJ3V8nX4GjPsiJo720nqKYdU/ftmjtQCK0IxyKnYPDsfNk58HkoGMITzDVUhuKT2LGYG+XmVjSdjwASx9sacF2XKrN5O5PqteYzWYszueLBj/MWY1SYyV+LT6AKVkWIbOadsJN0zK0rWU+8FD6IZEBHhE0l9aU4rfzNj3DbZ1sMWIiei+ttfSz74u9D546T2g1WiS+mogL4y8gyLtxEzPIeZOK7cezbf29KbumoKBKnGBVWmOLGeZVSt3GDz93GH2iLElJeoWEUwJPzE1DC/lf/eNVrDqziusEPzxW3nyM1XhsubQFk7ZNQlJxEnc7Ef/y+Pq4pUqhD9U2T7luCvY8tQdThk7hvod8Dm+OzUvX9BXleLCO6+V10oRbg8nQIA7KlXW28W+38G6S7Wod17WcSuYGkwFzD85F18/4VWobA3JeDeEcT66xsVeNxd1dLOZtJOHjv0pFXQX+t8yWGNhYCQr/VZTa9E0XN8luc+PGTdPhFq67ceMAu5N3i5Zb+FqCJadyTql6f2aZOIDw3l9Sx/GSmhLh9dHMo7jjpzswZdcUlz1I6RJbLPRAa+ruqdiVtAspJSmqj/3spmfxwd4PMGv/LLQJ4osc9UY9jmQcwVs735Js6xEh71JSX64L6CFxX0uozRKcvstkHAfuDLoKE6Puk0zGhlGTxFWmWkzKXCYsrykRT+LxCNb5wVvriZsC+wgOIHqzQdG1SQ7iRkZEn919Y9DVp41QrpRM7gGWkrzXBEgHWUqQiUqax0Kvd/g8lSgzVkkcXsenfY0vC7ZiQoat5HtLjxAAwD/WoHhyXS5+LtonctSJ9W4jElPIubKz8NxEAfsirn6+lqAwz6GHCG6uvjhZtJ6eYGXLyl6ylmQcmTxPKIfrodHBU+OB24L6i8oqB+v88b+A7iJRqxoXFjk3E3ayELBdV15aTwwL6utShxWLe7lrBudeWk/cHNhXIoR0hsH+XfFY2A0S8SqNn9YbQwN6OuXA66/zwXUBPURBC1IumSeM0Wq0GN3iZmGZJ253FqXS3wRHhSP9/TqhpdUBqY9fB8R6254HpZTgARAHwiM9pKXTP8xZjS2llkx0nrBRLbQDKo9HQq9rEPcg2kWS5yip0Wjwv4Duqt0CAfnS2iyeGg9cH9hLtTOTHHTbTER4BljaVV41jfpwb8hgkTCTPKO1Gi3GR9yNoQE9UW1tF3MNJXg8ZQG+KvgDo1IsJbJn5aqvVOOh0aG3TzvuNqXvmK2kQojxikAfBye5AEvbxQq1fTReeCtqhGjdrYH9uO//NH8z8vQleIGq2PFIyHXw0Xrh5kDxJDqvKgsA/C+gmyAgfjnibm5ANUzGha6fX0cMYITvBOJSSbs6+Wi98GrkvdwJwUCdn6RtbErkXGAbCjWVFdjEpWWFO4XXEZ6WNvR+q6smqWLAim5Y59yevjZXthCVbdHHrUc53WaSiVPA5rrLu+NIiWqCESZJZYxT1cmCoI1FbeIiDS1Op9FoNBZnSetzamnBDu5+xUapOIvGngDKW+uJ6wN7yQq8G9r5k2CGGXcEX4WBMqXO+/p1wNCAnoj2CoeX1hO3BPVDgM4XdwcPwqw2TwnXBj2GYBMV1UA7ldNJxp4aD3wVYytbPSLkGpyoFicN2Ou/t/AIwkOh1+Ku4IH4q+vHku1EgEe7WQ/xj+WOo+jflRaGkGs9gtO/aa5oNVpuBRSaPr7t0UJnax/J3xdmXUcEaSS5N5xxIoz0DMFjYTfYHaO9GnkPbg8aILSNvSgHSZKQSMbOLT1CEW1NSA/Q+WJoQE90943Bq5H3Cn1SZxga0BMvRtyBFe0mqO5/NTTBOn+MbnGzkEBRZpLGMbr6tOFWrcqlRNTfF0qNCHy13rjfOjalxYZKMQqe4zvNvSGDsbTdq1gc8zzGRdhcg0uNlqTAWubYHbyicLV/N2F8e52/4zGiTSVHHX5PfTlWmcAV560rsVXiuCtoILf/w4oqaey5y9cHjUaD6wN7Cf0HOYjLP53YzD5j2VjI5dps7jVGoBN6e/i2xYr2E/F0i2H4oPXj6OLTGm09Lf3SvyrO4ImUBQDEQm61iXaEVjLtQLDOH/eFXK1otDDYv6vQTwbE98NRjrDTbDYLLvpvRD2Au4MHiZ7rATpfPBhqa2eXt3vN7vkHKlQRoKvvPULFxehxWohHgDCmLzCUYWnhDtx22eLIWEf9PU+HDYO/zkc0hpQTKp6uThEtXx9o6fcH6/yFvmWGvkBSUeCpsJu5AlG2ygL7N++viMeUrJWYnPm9KP7KgyTezMwRV2uTiyfUt0pjQ+On9ca4iLswPGQIOnq3xKw2T6GVZxh6+rbFYBfF01wFHd+2/G9pK4J1/kKCNy1Q/5+/JRZyXUAPxWR9XvKnj9YTf5adUDyf/n6dkM847y+Kfk6ozErGVil1eXiRqYCpRJa+CK29Wtg9byUG+XdBhGewEBNq4eLYCo/5bZ4RPlNNLBAAcqkEELr/R3gn6wcMvPC6sHzn5emYn7ceb2daEug+z/9d2MZz8SY0lLMzayBBty10n5dcq5eYMSjvWTa15SPcz+K5nQOOx3B1Gh2eD78dL4Tf4dQ9zvadeE7wJYYKfJG/VXyePtHo4N0SA/w6wVPjgccZ53dtA/aFSQLs02HiuTs65iAXnyGGQD18nTd5ifGKUKzYLAddpbUjVRWpISGxXvoeHpP2uez+52osc8EkqU6OBbkbRP0Ipb6Hm+ZBoLftnlh33uYoXmu0xM1/OiM2mxjdx5aM4sG0jTe0s93vHUM7Ija8YaobKHGhwFIR/fXtr6OirkIkVD+aeRSj14uTaWhhO8vA1gMxJHoI7o+9H4Cycznh7wzpPXJrx1uF153CbLHv/Wn78cRvT6CiThoDvCaaX8kJkAro7/35Xiw8vBDv/vUuANh1jifkVebhUqFlHEI7o3t7eOOG9jfIOjl/vN8S+2Kd+AHAU1e/+aOGgripE3E17zsHgI6fqk/yUgv5noK9gxHlL00+V+u4TnRENN8e/xZv7XwLCUXixMmYINcZltmDzGs3hOM6+e7CfMPQNtjSP7LnYP9v551dYqMQ3n3oxo0bN/9lmocqwI2bK4Cy2jKU1VqCnWOvGosL4y8IWbZqxd20KB0ANl+SZrmTDFIWpYEY4ZGe/MAZDZ2JzMIOaN7Z/Y6k07rs5DLkVeYpZuDOPTQXRzP5k4UGkwHFNVKB8IybZmD36N2cd7iOuRxnWDIZc6TSMtDr6i0W3L8nU6qUFbasKzmEOpNedSefDi6RSazjVYm4OcHmdvV3rDpX+reiRmBp21dwrrs4SMUTQK3taN/ZiYXnKC7nUPJey5Gyxznd/VPZbbUmvcRRibh20RBnDdrp5EBlPBJrc4Tl3zpOETk0ZumL8FX+Vqwv+Rs/FP6FMiO/NCktfNrYcSr+7PwBtneebndS9Mmwm/BVzEvY2WWGZJtRxpGlmhLfsEF0Inq6SDll0IIYTxVu8nSgN6nnt+jr2wHHui0U1smFmld3mCwRqzg6Kewo9MTFLs53+F/hcs9vsLTtK3glku++DFjahPUd30H3egTjWby1ntjR+UM8EHw11+Hp7agRuNfBUqksP7S3TWKFMRNddwXbRPERHsHY2HGqSIwG2Bya4qpszgnnun+OH9pNxNHYBfU6t4bmw1ZPYFbr0fiw1eP4JmZ8vY71V5eP0d+3I7J6L3fNyamEFissL7Q8p4lQwceBcs6OsK/rLPze6T2um1KYdbKKnkAsMpbjFFNyXA1y4lCjwrO8s499J3RHmdPmaXwSPQYJPb62OC53nSlJnFndYbLMu4F3s38SCaO+bWe51mjH6TuDrhIJlAHL/b04+nm8EnEPDsfOw5K2L2OO1ek5xloqGQA2dHyHWwqeICd4IuW+G1sA7ipejri7UT9vDyWeXRQtrtijgQaJPb/FyNChGBd+l1DKOp9yJScJMF+2HYtPosfg05gXAEjFzv5aH/za4S308mmHM90/E20L0vkpuh0SdPVILuA5vtWZDZI+Da8f+1yLWyXrOp57gfs5ahMXaVZ1mIRPo8XHowVhL4bfAQDQyghUkqj+KI/GEp4Tngq72f5OHCqNUtcoZ/DQ6PBZ9AsY7NcV+xn39frS3jsKb0Y9iJGhQ/Fo2FDJ9miZChNy0MlBc1o/hdUdJmNJ25exu8tHdt+r0+gEUQURu5Qbq4T+/mCZBIDmitJ1+l3bl3Gtf3dc7R+LZe1exWfRL+DR0OsAQJSMeqIqEbmGEgB8t0vAfnJJpDVheW/Xmfim7Tg8FGqrGHW5Nhuf5G2knIUbdpI10jMEGzq+g/dajsRVfp1F46qmhtcakT7ExMj7ROvp5Jpd5Ta3q8mRtgpSpO09VHkBKwt3o8xYhaWF/GQdAMLvrwY6mZK4e7JOtuzYc0E03+1ZiRSV7q6uYnPJUUzOXM7dRtx/e/u0kxU3vqFQwcuZpB9X05qT9E4S7AGLUNte4haLI0mKO8pPAQB2Wv8HAB8VyX40rhyz0K7AqdYEvEJDGb4r2I70unxRZQPahZzlYo+vsLzda3gy7CZs6zxdWE/3wQlyjuAA8En0GO56YrBAYONOJphQYqgQJb9EyzjZXujxJYb4dcXP7d+QPY9x4Xfhs+gXsKvLDDxDJeWuKtorvF7Y5jnMa/MMng4bJhGwShN5xb8xXVmLZlH0c4LgkWAwG1FhrMbPxftE678v3CVxYQcssVgCHetcHP089zP/rbjC8ZtcZxtKj2BmzhrExr8kWg8AH7Z+HE+E3oD5bZ6RjE/l4LWfapJ+AWm/hjZMoOPDJ6vF8YS0unw8lbKIe0y2Wkhz50DX2fgq5iXRuEZNOzo18wcUU+YTJPlKy5lS3lp6DIm12YJIekf5Kcn9RleSBICEHl9jRMj/sKnjtAardnaWmSuhYxNkvAzYxL1KVVtWtpuIL2LG4k2ZSqdbOr2LO4IGYErUQ5hGidsbOq7Osqzdq6JKAHHVyZJEwWqm8vCSti/jeqvxAKEtU03QGeMWtfzY/nUsafsyvmk7Dr90eBMnulnuPR+tF3Z2noFtnafLGn7s6zoLK9pNwE0BfRrs/OSg3fSrmep4DY3cmG1Gqyewqv0kYflybTbMZjM+zPlF8XgbSg6Llq/y4xtUuGk+tAvmm7Gczj2NNefWYPxW2zzEnZ3vxKO9bPPcRAxMGDOA359sKnIqpLE1tgJ8nVH+nusZYWnPiIbhy2Nforiab1pmMpuwNn4tzufbEhwPPXsIc26ZgxX3r8Dvj/+OfU/vwwPdpGO28wXipMgNj25A36i+kv2Iez19zrSJ4LGsYwCAlgGWBBji7u3rwU8goTUeb/xP2j/30nlh55M7JesJdKID/Z7mCHn2vLfnPcw7OE+Ve74zbLu8DQfTxFU9ibDY28MbT/R+QvIetULs/CrLmHHi1ROFdctPLRftM2HIBMy8eSa2PL7FkdOuF2RMnlisXD3UUUxmk5BY4ePhg16RFiO+1FKp3uO/xMF08fUVl/PfdqBXori6GGvj1zaouD+hkF9ty40bN02HW7juxo1K5h+aL7z+eNjHiA2PFUpNbb28Ve5tImoZEUB5rbSskdyDmAxelFBT0kepY19YXShaPpEtdS55btNzGL1+tOLAEACq9HxxsN6kl/yN3cK7Ydr10xAVoL5ksjOEewSJJjRoYU6G3pLBzTpN9pERaGs0GnzGCFu+KdgmmgBWgg4uEUeaSlONIBLv49seV3Ocznl4aT3xbPitaOctDpwXM87GAN8dxR79faXZynKuCyNC5DPKe8uU3QQsAVN7Yly58qtriw+Jltt4tYBGoxEceV7PWIpx6V/jwaRZGJ26CFOzfuAe51S1RRQb6RGM4SFDcHvQANyqopynt9YTYyPuxABOQE/OgY6egGZLrfIc7WiRFx3M31TKTxChhcYdvFviVPfFuMqvs+icefhpvfFBq8eF5btUiNfqC+2Icj3lJv9fo6N3SzwbfquiWOhq/26CC6IruSWoH37r9A4eDr1OUmHhragRsoIjtcR42SbfvZjAKBElkW3DQ4ZgbMSdoraatJGvZHwrrOvh2xajWtyEQf5dJM7U9tAx3d+GFIREe4Xj7ZYP4d1WI+udcHBjYG+c6P5JvZxD68sPRX+h0lgjtFsNJcIcGtATdwXz2x+5dvXWy9IqNvaQO3+lMtDRHDFJfQn3CMJrkcPR2ac1xoTfhsH+XeFPOUu19gxDmEcgrpUp1fttwTbRMpnQa0Vd26yLIQDMavMUXo28FwE6X7TyDMOY8NsE8eWj1KT2fSranenUs4NABAbEFfZKI8wjEB9y/i5XQvpYnb1boZOXLSlibPidovZ4VuvR6OjdEl5aT3zRdiz+6Py+6Di+lCCrlWcYXoscLltd5a6gq/BQ6LU40+Mz7m8zXoVg35kKQQS6igPt0Mo6gNUwk+n9fTtyhW4VlODKW+MpCCliffjVn5To5N0Kr0TeIxJjPEj1bYkrrpzgNl1fwF1PKHJQ2MeDV+FHjhmtpRMragh2oePhy5H34Ei3+ejs09r+zg4yp83T+LnDZHhqPCQCIrUukoSbA21Ch2fDb4W/zgdjwm/julbzICLOvyrOAAAW5m0UtjWGg6YriWNcdGmeC79NqEDwTItb8HLkPUK1I/o7v+qCbUIuQOa3IPfWdf49uE6q5BkyxD8WL4TfIXlmT8xYirHpXwIAJx3G9QwPGYLprR/HsW4LReOqpkYp2e5OppLTcWvVMgDY+P/27jq8qeuNA/g3SV1Sd1coRUqx4e7urhsMm8CQwQTZsG0MflPYGDJgsDEYY4wNirv7cCi0QLECpbSlmt8fITe5kSYtbVPK9/M8PE9y783NSUiTc895z/s+PiTc1qwkoJnxdOCN+eh+bU6+z1/Q7JKq4MUcRS4e5+h+J8ql4u+fIK2gKVNcyrxd4McU1pmM6+hw7VPsfP63r011va6vqpZKcD4BkH5W+n/LS5K+ayUFFELSBlVFpqKkXUUDUI63qWiOR83yVWZfzO97vygz+Wpmb1dVE3s78UcMTfgGPeM/xzONwLX8fk8jbfww0K0ppBIpWmiMO7WQV9X5jtE31qSi73fKVeaoE+irLyHF7Ltrkfw8G7UUUoNBieVs/HGw/BeiIGPthAf2MhuM9myHanbhkMvshO/17x+oA87HeHWEh6UTrKSW+D30fVFguHYfTzuI1VBly3c9O6KvizgrcA5y8dV93UQxADDkhm5CjU7X1ItHNf9/GzvqH4Msq9q+YMICQD3ecz8nBR/cXiFs18xq72Yhx4qQ9/BePot2TOEos4WDVP1dYGjMuI1WBUHNZAqqYGWVixqVqWpcGIufH+7Qe84XTe5Q0uo6VMBwj9aisb2cfMY8VGbeXYOVD3cK91XVsvQtGGx7dTrC/3tTuP84J03n7027gkO4jS9+D30f7Z11xyqKSoTWNYhmv9TH0lUIzl7+/P96z/MFZ/r0d2uMkR5tDP6mBFt74Z/wqZjpN0BULVVewpmrI2x8sSNyhhD8DQArtD7L2ou833BvUayB6caEWfvgDfcWsJJaoodLPVTV+N1rKq8i+p3UVsM+AgPcmhS6+sGL0Pyt8s4n2UNx0ExioOlDn57o7dpQCKpflrwdx9Kv4FRGvN7jVbQTSPkVcCE4lTxXW/3XCc2XN0fP39VB6uNqj8OmvptEweqac/vv1HpHlL29NJi0bZLONhsL8W+IZuC3tkqeyj6BZjC262f636+Nlzai+5ru+OaIcqFTv8r9UDugNibUnQAfRx+0iWiD+kH19WYkn3tAnFCpY/mOQpC6JlXGac3M7zefqPscqngJVYLERkGNACiTAOqjOt7T3hPudvrnKZqGNsWp4bqxCpk5mdiboNuvNvRc5qZq1+/nfseErROw4rS6f6n6f35R1x5dQ6uVrVBvST1RRvdbqerEchFuugkpPtz+oc42bRnZ6jHrBkHqKvZHbh8RHTep/iRMqj9JiDkqCar3Nv5R/r8PBbU9Xp2gUm4tFz6j99LuFenzvGy0Y6o+2f3qJvEzpvXK1ui+prtOlvrCCnYO1tmm+TtJRKUDA9eJTKTKIB7sHCxcFFb1Vg4A5HeRpEl7BWaLsBY6x2iWwNJkJbMSymUZogpKH1F9BMbVFq+0VZUY0hdwnpOXg1/P/qo3kF6fzVc3Gz9IS3Xf6sJzaXbWy7uXx8ouKw09rMjdylIH53/g3UMn+KOHS10hM9k7Hu1FJQm1DXNvKbr/yZ1fcS2z4Nm9GjhEi7KcAboTtoXxTCvTg6eFU6EG8Wb5icuwbQz7CKHW3pjp2x9NHcUryCvrKX2taXXweEz16Y0dETPQWM+kwsFynxt87FitjHEqmoFNA1wbCwF7quCGOI3MXICyTOmlZ7fwMEf8eVdN5GUWYZlgfRmAbCRWoowc2hmG1jzei2VapUjra5T51Pw/NFQ6vLNzbUzx7oW/w/QHco5wb62zTZWNo7xGoJdmJrXiEmsbhk98+mJp0DslnomUdNW0Ew/CvGjQOgBRoLV2xQNrqSV+CnwLU7x7IdZWPTEx23egcDvE2ktvZjSVD717YLBbU4P7VZo4VsaK4LE6gc/5ZbImXXPuqrNyxBj5zi8O/Vwb6d3+QKMEuHbWfkMsDQauiwM7NDNNtdaa+C4umoFoceHTAQALA0dhhHtrnIv6Vm8gOiAuo95SHouGDhVR2TYYb7gr+5yqLGf5VUEBgKk+vTHeszMOlfsi3+NUxnp2xDjPzkJGak39XRvhQ+8e2KKRTfJlMc6rMyZ6dcXeyNnFcv4/wz7AWM+O2BI+DR6WTvguYDh+CnwLNlIr/B4yEbXsItHVuQ7e1qrGoZ391NCCNEA3gNvYYp+mjuJBcn2LHrUXIRWEhUZgkub374nnVROe5mbgSNploXR5Q4eKGOvZEX+GKSvzGCrBDgBLg97Bv+FTMNazI97U6qcXhObiFc2+nGpiWl82d4VCgcfPA9iGu7fCF36DdRa5FoX8KjKtDRFXVgrQCvhcGvQOpnj3wvpQ8cDvnsjZ+D3kfVSxDcFs34GoXgozhP8QmH/Vki/9xFmZC3rNM9CtCd50b4X/+Q8VlXwvjF2pZ3EmQznxH2zlWaQBkyVBe1GtyiSvbvk+Tt91T6xtGPyt9E+kfuE3GG97tMeioNE6/18/B43R+xhDUvQs2H5VaFb4muLdC5vC1AubGjtWFmUF1ezd2GqMc2gG3dTWyly8JfWEznNqjgGYmvFWRbUw6Fj6FSErPwDM8O2HUR5t0F0jsz6gDMrt5KRcQPeFVgU9zQoZDRyihcWFRTGWYqp/n+gme9Cnt2sDg/vqOlTQW7muuWNMqVjYbaiPocosfjy9aDO06XM7Kxlezxc8u8kcRcHaoz3aYqxnR53fNk2qijX2UhvhgR8YAABlZElEQVSd38qC0gyeUy2IVi2+O5B2AUc1FogUJIPwxrCP8KZ7K3zs00unD/O2Z/sCtVFfltR2egJtlyVvx+XMJAD5L9xVqWgThC7OtWEvtcEPgaPzPTYHxhOrDHdvhfe9umJnxEydfRKJBJ/rqZqpqdzzipnaCwdzFHlCVU1AmRhE5Z8nx5Cr1Y9LeT5GMd2nj2gx6Mu28OxF2Umt8YXfYFhLLLEjYobxB+hh6DNfzrrgC0rzM9dvCHwsXXGj4iIAymo51lrXJ6rr3Y991N+v8/xfN1gtDADuZD8Wbt8zEBQKADN8+xem2aVKfn0nzUoOmgvdLj1TLgwz5bc/B7n454m6evCnPv0K08wisTbkfcildlgS9I5OcLYqGB8Avrr3F2beWaP3HDN8C9b+ho4VMcGrC950byWqilqSNCtvbEw5irvZj3A8/SoUCoVovH9fpOFFiqrPQn7zNSWtNFU+AoA/QifjbY/2eqvDFaf7GmOg+tS3V2acPvPsBm5lJxs8TjUW72Eh/m6saqebyIpKFycbw79nmjQzratU8lLPy2pXYTeXPYP3CLd/P/e7zv6mIeLv0isPr4judyrfSbjdsbxyHlk72PzaI91qrdpZtq1lhuMBTPGavzj5ywf1P0Dj4MYAxMn+NGNFElIScPjWYSGDu6+jctFVdl623spLQiZwI22t7FVZJ7jbUJZwQ4kIzU2VrduQNhFtAAADqgzI9zh9HmY8xNl7Z3HuvroK3P00db9Alfk/5VmK3vdaOxGkPqrM4wBQzUc5p6Rd8QBQLkIoaZFuyqqJqpihrNwsLD+1HKfvnn6h8yalJomeQ/V5drI27TurrPKwE4/RZ+dlC4tVrj26hqUnlwrJAcxNoVDgzN0zosU2JenQLeX1h+ZClRfxcYOPMb6OOAbgxJ0TBitxEJF5MHCdyAS5eblCsPaEOurSmTHeMQCAyw9NKyky8u+Rovtx13RLLn935Du9j/3r0l+I+jYKJ5J0Jw5VVJ2Imn418XkL8YCSnaWd6BhN1X6ohl5re+HUXcPZwttGGM++mJ92Ee2E5z955yQAoGVYS5wfdR6xPoazTxU1zQkNT0snnYnZ6nYR+NL/dShiN2B+QP5lYa2kllipUXrvfk6KKAP2Wx7t9D1M73k+8xdPyDR0fPEJSu3gzIGuTQp1HieZPWpoBLOqsvBM8u6OKRoTAKacv6drfUzx6Y1GjpWwPVJ3IqSWfTksCXpH72ObyXXLrGnTLLMty6f8dPlzI1HvknjCUjXx2lCrNOaLSNMT+L0ieKwom1RlrUz0397fhEE3/ifaVtVAhq06BrLySyQSTPXtYzBjcbC1urrBJz59oYjdgN6uyixVmoP4hjLHFSWJRIIPfXpioAmBx1T8tEvDGgrsLSztqhaAMrPpVN8+oqClho4VhcnNMxk3EHvBcACTg8zW6KQ2APwbPhV9XRvBT6MEuiJ2Q5F835Z1zR1jhNufaJSX1Z7YKAmeWlmMtMveA8AAN9N+7zQXy2hOMmkHPPV0rifcLqksTppBQlHPf8+jbQPxXeAIRNkG4M+wD4XtmjQXE0gkEuyMnIlTUV8Jr3WAWxMoYjfkWwUFUGZD+8x/MGraR5rUXgeZLT73HyxamKUik8jwiW8/k6qYlDa2UmvM9huIug4VjB9cCAFWHpjr/zpCnmesHeHRBkPclZ9FXys3HCz/BX4PfV8UYAjolhvXriShyVcrU1Z+wRqAsl+quUDjQRXdBab+L5B9q57Ge+lt4SxkyZx193c8zc1A9PnRqHnxPVzWyJg71/91IQjb0KINAAi29kRzeVXM9X8dji8QLKzZN9NcxKr6O9KXcf23R+qMRRO8uuA9r84Y7dlOtJhE34RTQZWz8df7vQcoq1WoFtrUtNP92x3o1hRTffugo/NrCHv+matpF4l6DhXQ1aUOTkb9DxO9C1bFpDhpBo+1z+f/HVBm6VPJL7OxIT6WrlgQOLLAwYH6NLo8GWsfKytCvevZ4YXPV9IMBTK9Y+S90Zd9c6pPb4PHB1t74X8BQ1HOxl/0N/Vn6Afo79bYxNYqGarG8ioI1/jsT/Xtg9ZO6u9vC4kMc/wGCfenJa0Wbmsu/tb8TjGWbTPGNgQLA9XjWvkt9NdH9bydrs0Usvv7W7pjsncPfBMwHK4Wuoul/gibDEXsBrzn1Rn9XdWfjQiN174rcha+9FcuYFFd1xe3/zISMOHWUp3t+ioIaH5H6TPNV7fCy5aI6aViYbeh68HM54kz3ru1WLTdw8JJ70J5FX0JDLRpZ0/3OzsYGc8/O3+HixfnO8hsMdf/dTSTxxg8n4elE74NHI6nMb+hi0sdg8eZwlJiIVSM2JiizJSneX2gWQWqINcNbZ1qYEHgSARaeehUvivoAih9Vdrq2ev2Ze/kPEL7q8pMb6Zc10kkEqwNnYSnMb/BxSL/CjDa2a/19V2spJaY5TfQ4PX4ICNjRG89X9ipnRX2YU6qMDY7yLUp5mgsigeA2XfUC7EVCoXwnfGmeyvEvOKBeu95dcazqmvRqJDZ5m0MBDT3cW2od3thzPYdiLFenQAoK2QpYjdggndXJGapx/tTq/wqXO96W7pAEbsBitgNeNdAQhQVU38/XrZFiQWlWYFLMwvzL492YWfqGTwqRBUp7eQ/JamLSx2kxKzW+51S3tpfuP3OzR91FixM8e4FRewGTPbuUaDntJRYYI7fICwIHAlfq8JfO78IiUSCcc8TJa1POQjvMwNR7cIYbHpyFL3j1fOGdRz0V/YDgHc8O0ARuwG1tObPzKmaXbhojNLcOjm/hv8FDIWzkd/FomZsTKaORkWlL+6uF+3T/F1UVWnTzuBekEpvVLpFe+jOdUa5q//uw11LRzWxeoH18EbVN0Tb7CztMLK68trzjwt/CBXn07LS8PFO8TXBm9XUVT/8HJVzStpZ2sO+CtNJHPjffXGlDX1BxaZQBaXKpOJrp0+bfCqc8+Ctg8L2q4/Ei39rLaol3FYF+gLQWXAJAGfuKeds9WWB13Z6xGnh/QCAsVvG6j0u1rvkYjQKok8lw5VQ/eX+wmfZ275gleAAoMGSBqj0fSW0X6Ue69JMHjn4T+V8Y6BToBBfU1AxC2OE26pFIqUlu32Ak3IcLTsvG+nZ6WixvAUGrB+AKguq4Ojto4U+b2auMiaiQ7kOkEgkcLByEG1/VXk76H5GQ/4XgsSURIR9FYbBfw5Gu19Miykqbl8f/hqVF1TGwPUDjR9cjO6n3zd+kB63ntwS3fd19MVnzXUTATX5uXAxU0RUPBi4TmSCJ5nqFeyqFZwA4OOonHyyt9QNxNNH+6InT5GnE8CgXR5V24rTK3DryS3R41SrYVUrIy31TBqrLmIeP3ss2v4s55lJKyi1L4LCXcMxusZoNAkx7Ydd9ficvBy42CqzI91NK3h28qIUauUNz+dZm1QKmmFau1Sh5rRUriIP3wYMR3W7cFH5eUPBxprB4YYG+wtCe2KgINmetK0KGYe28urYo5VxVDMj7AcFHMQFgKFuygywmtl82sqr6wxAjvfsLAraOlTuC7SV6wZla2bh7O5cV2e/igIKnH+WKNqW+fyC0UZipe8hhRJjqw4g7O3SAP1cG6GTcy3RMX1dGqKHRlCkPlE2/qL7uyJmop28BlYE6x9oMMUvwe+hs9NrRoNQ6NWinVFPX+BFYXwXMBzt5DUw2K2ZyY+59TzjZ6YiG0ka2T93R84y6fHak+Wq78AFASPRTl4D2yJYjs1Ui4Le0ru9NEzY1rHXnWQzNYhKMxDHUiLDl36vo5dLfVHQFwC859UJ7eQ1sCZk4os1tgAq2gRhmHtLTPfpYzDo5XO/QXhNawLRUKbcktLeqSZ6uzQQZUGlomet1afTrt6iKcBSf7bj/Mz2HYDGDpWEBZqbtbLlFzTDrqHHagfk3c15LMp6B6gzsasYWpjYx6Wh3mDtwlgVrKxcZSmxQF2NiXzVd4Z2xvWHOamioI5gK/UCwd9C1Yuec03IZmqKX0MmoLpdOMpb++Mtj3aobV8eb3u0h4elE1YEj0Vzxxh8E6CctFNVQVgc9LboHIsD30YLx6qiANT8rA5WZib5NmB4kbwGU/wSovx/CLP2FlVv0Ufz+/yuRrbMkmKob+Kqp2LBy0Qz0NDLyP+BTCLTqcblY+QxKgqNXOD6sgKr6KsAAUCodvAq+ti7F1rJY03KIn1TYxG/5mJSUxeqtpFXx28hExFq5Y3X3Zqjv2vjF1o0cPp54HpBgt+/8BuMDk418VfYR2ghr4oBro0xz/91AOrfF0NVyQy5nZUsutYw1YVnN/Vu3xj+EXq61BdtM+U93hD6IWJtw/CafTmh2k5poB1ErpKWl4nUXN3MfHKZbb5/k8bGPAH936k3spSlxV+kD1JUVONgrhaOuJWVXOSV6nwtXdH5eaUBQ1X0NA3RusbW93mLtPHV2aZJO2DtRWkHAP8SPM7AkYbpW5ipGiu0klgIWYy1A2IvZqonqhOy76OBVmC8aiF2am46rmaqMwJaSy0x1rMjOju9JkpSQqYzlDyjbxEErq8IHosuzrUx2kN/Yh3NCqgOMttCPccDIxmMyzLV2N80nz75Lpqad+/PQp1f3wLH0kDzWk1bZ6fX8N7zRRIvq2w9VWX/TjmKkxnxZmhN0ZGgZBJKlGba112AOKmUv8Y40L6088Lt2b4DMdqzHbo618HPQWMM9qu0kyVQ6dQgyHBVJxVbS93fRGsL9fXXi2YYL0pPssS/w+nZ6aKM8WnZaUjPTse9tHs6j9XMVKx6fe0idYNAj9w6IrrvbiceM03NMlyVfufAnZBAgmDnYJ19v3T9xeDjVPEb/nJ/g8doUmVUB9RBzunZ6XiS+QT30u4JyQmT041n/AaABe0WCLdXn1UvZtdcwKD5mShNOpTroPc7P8wlDJ82+VTYV5hM1dqLFgDg+uPrSM9OFyWAvPzwMip6VkTfSn3RrUI3NApuBACoG2A4/gDQTSLpaO2ICXUmoKp3VWGhg7udO75roz+ZZXELc1Eny3uQ/gC7buwS7u+8vtPg4xQKBTKyMwzuV+1TfbeoFpCoMtgnpyeb/NktSyp46E+K9Nelv4Tb/1z5J99zZGRniL4fVAxVTHiQ/gBpWQUfL/14h3IMYtXZVQV+bFG78fhGgTO/a1bk6Fe5H5qHKZNEzW46G/0r90ezUOX4ydWHxV89sDRRKBSv5N8evTwKH8VI9ApRlU+yklkhyDlI2O5opZw4NXWlYPbzjERzms3BxK0TcefpHYz4e4Rw4bDkxBKj5/ry4Jf48uCXeKvmW/iq9VeYsXsGPtzxITb12YRt8dsA6AbIh7uGCx33Dqs74P74+3C3c0daVhocZpm2et5KJh6s+KnDT8KF8fgt4/HFgS/yfbyqTdvit2GAXFm2qbZ/bZOeuyjVti+PA2nKVbMSiQQVbMUTrQoULBOidin5v5+oV6JezLyFbwOHY6RHG/ydcgTbU5ULBPaV013ZBygH8o+kK7P3GyrHXBA2UisoYjdAclyZ6c/1BTI/hFn7YGO47oSZVOOiMcLIRJg+PwSNxg9B4hLDHpZO2BKR/0RtTftIbAz/GO8k/oiv7qs79pqToNN9+2Dpw235nudcRgIqPA/2OvN84rwo3nuVPq4N8NtjZQZOVfCNNiupJX4NnYDfju/Vux/Qndxt4FhRZ/KtoHq7NhSyrGsLtfLGtaw78DRDNmUyL+2FG0WVXXqERxuM8Ghj/EANLeQxWPf4AP59chyAcnI6s+o6vcfqm9S+lnVH7/4ga0/8Ff5Rgdryqgu08sDioLcx5MZX5m4KACDYyhPXnwevKMvVWwu/vwX53tKckLWSWGKMl/4MbF6WLiX+mZFIJFgYOCrfY9o61UBbpxqwPdFNyGDqKC3cJH1RsZDIDP7eUdGRSWSwgAw5UAZQ55fVWSKRoJZdJA6lXzJ4jLbKdiGiyjgt5FURH/0jQv5TViN6kb6S5gSohUQm+p3RF3DcXCuDqpOeyh2K2A2Fbo8+FWwD9Z5TtQBKMzv0PynH0O7qJ8h7HpQ+2qOt6DV1di76651Ozq/pzaYKKLOua/ajFwSOxAI9wekF7Uv2dK2Pnq71jR9YhDo5v2by/63m97n2gp6SUN8hGj8HjcGAG/NE28vZ+Bl4xMthbegkIRuvKWb7DkCNi+pgPy+tKimGqK49gPyDWmvYRwj9Qk3GMvKXZUHWnvgnfKrJx6fnZcJOai1a6Ka9wN1ZZi8KPJZL7ZASs1p0jKFFjQWxK/UsAN3FWPnxtHTGn2EfCveXBaurMql+X46mX9F5nCE1L7wnjMFM9emNKflUCdC26+lZnW2DXJuipTwWLRyr4tdH6nL3hiplaGrvXBPtnUvfZzncQLZ4/7P6K141d4zJN5BbewxNn1i7MChiN8Dn9EDcyRGXby4Ngev1HCrgz5RD+Ck5Dj8l61bSfFESiQTrwiabfHwbeXUsTt4q3Nf3eTNWTUEzCURRaOEYI4y9xtiGoGshMt3rW6yob6xQNfZZ7+JE7Es7j6lJ6gl2TwsnncUxCiiwPHmHzm+2tcQSNlKrAr33JOZj6aqz7Wr0D3Az4e/emL6ujdDXtZHB/f5WbriisRChUM9xfS5esy+HAKuCL/x9mUVa++Fi9Peibd8HjMCIxO91jlVVM/CzdMPZqK/hctpwJlRNpeG7W59KtsHo6FQLf6YcEm1v4BBdJr4L9FWR+P5B/kFRL4MSKoRYqkkkknyvlW01xl1U851t5dWFCmu/hyoXve59eq4YW0nFbdegXVh3fh26/lawynmaweqlKWC5qndV/Pbfb8J9N1s31AtUJ/xafmo5Rv8zGqNrjNZ5rOY4guq2vkDxNr+0wdKOSzEwZiBO3z2NZaeWifaXczM8ntQwuCHypijH/ubun4txccrx729afyMEQgJAsHMwrj++LtxXZVr+5cwvWNlFWdUyM8fw9ZJmpvjrj69j7bm1+HCH+hpYlf27fTnTEpIZqnjfPrI9zj9QLmxJziidwYy+jr74p+8/aLWylbAtcUyi8H/761nlgtTV/63G5y0+13sOfQwFb47cNBIjN40UfQ5ivGMgk8qwossKAMA3h7/Bzus7RZnx9Tl195RwW7VAYk7zOZiDOSa3szhpjl1rB6qPjxuPm09uYn6r+TqP6/RrJ2y4uAE3x9yEn1x3zHPugbkA1N8tmt831X6ohuNJyjG9v3r/pXdxSVn104mfAADDYofhh+M/CNtHbRLP/ykUCr1z8k8ynyD8q3DIpDJceesK7K2U8yNbrm5ByxUtMb3RdHzUUD1/ue78OnT7rRvk1nJcfusyPOw9TGrnzSc3kZKpXtRuqD0lJfh/wajoWRGnhp8yKQkCAOH7t4ZvDSzvvFzYPrGeMilZYkoiAucH6l0EUJa9t+U9zDs4D9+2+RYja5iWyIioJDHjOpEJ0rKVk3aqjOYqqguInLwck8r7qI6p4avOIrbw2ELh9qFb6kGyD+p/kO+5fjmjXMGrumAZ/vdwodSQp70nAOCHdj/A19EX/2v1PySlqgdv/7unXEm6P3G/znnDXMLwXZvvdCY1tLO4V/ZSZxDvEtVFbxv7VOqDMJcw7By4U1jVF+kWKayO05cZvrjN9RuCECsvIZOi9uRMMz3ZCozRzuqrsi1VfWHSQl4Vte3LY7h7K73HAspMCQGW7vCzdCvSkocfevdAZdtgDC2Gspx1HKJQz74C3nieOb2kddOY/Pqf/1DRPj9LNzRzrAKHfIL4vr6/UbitKktemGxrhrSWV0Mtu0iMKmDALqDMjBlrG4b3PDsVWXtM9VPQWwi18tbJzklln6kZF0uCKojm8rPbAIAsPZmCVJxk9kJWOpWErPvYHD4NoVbeiDOyGIaMK00TjYsC1cFSfV0bIlEjg2hBqot4aAS5l6bPfkEt1wja+jXEcMYwKltUQeuA8c/94qC3EWHti5+DxuR7XH4CrNzR0KEiyln7vVBgsIXGEIRMIkU/jQCU/WkXdI6f5iMOhhjk1hRRNgGoY18eYdbe2BQ2pdBtKSiL5wOk2VD/Hh1JvywErQP6K/eM9eyI6nbh6FIMQeykFGrtjbr2UfCwcEJHrepGJUV7QUesbRgq2QYZOLr02hI+DWHW3tge8SlayqviNftyJl/LaFd/8DNSwl7lt9AJCLf2MZo1PE+hf5H5m8VwnVuWaH6PXn+ekTbCWj3JqlklDAA2hokX6z3J05+9qTA0M0OrfseKauG47/OASVOCxFVUQesARMGuptD3PJ/69gOgu/jXWNBwaab9PaZvARkAeFk4o7y1P6b59IGzTJ00oZpdOMZ6dsRnfoMQbOWJD7y7m/zcf4RNEt33tXRFuI3+QPqSZMp1QwvHqkaPKSqGqtEURFFnFX6ksfjlRlbhSnw7Sm3RoQALk2ra61be+ci7p+5xdpEYnbhQZzuzyxa9lvKqCNGoRFScCrOAe1fETIRZe4u2/fpoD5Ky1QtmbCVWmOnbH4sClUFymtVSy4rZfgN0thmr0pAHBZxk9mgnN1wpR6WHcz1YPf+tjwufLvQzS4tuzroLazobWCT8smnkkP9CZUNVVUo7Zlw3zs/STai+ZyuxgpPMHt1cdLMD6xvrXRr0TrG3j4qOKohZn+mN9M+HVPaqjBjvGES6RZoluZwhKc/UwZKe9p7Y0HsDpBKpkFRv9D/K3+Jvjnyj89hGwY1Q3bc6hsQMEW3/tduvOsceuHkAAHD09lGdfaZys1OPdTQMFicH+7377whzCcPaHmsBABsvbYQ2QwGT5dzKibLMxz+KFwWtA+rsyvfTTOtj+zjov35SJVoEgIM3D5p0LnNoEqKuJlHVu6ooYFy1MCfURXehVn5upKirZmouFFC5mHxRuD2vpXixqyquRfP90+dysnqs4ZvWup/Z0mTGnhlCok6V/x36n95jN1xULpr6+dTPevc72Sjn21RZ5QOd1OOEqqB1APhk96tVDVv1fjhaO4oW5GgzlNz0cvJl3E+/jztP7yD+sbpyzpsblRVXP94pTjx5+NZhKKBASmYKzt03fZHaqTunRPdNTdxanM7eO4vUTMPVMLSpxuM0FxBpUi2qyM7LLlS1hpfVvIPK77JZe02raE9U0phxnV55p++eRuuVrZGenY5F7RehawXx6uQbKTdQZYEymDlALs7OrdmhTUpNQoCTcn+eIg8tV7SEVCLFv33/FX4kVQHbqo6bSnZuNixllsLFypxmczCh7gR82uRTxF2NQ4sVukHByRnJ+GK/Ost5QkqCcDvERTnxOLTaUAytpgzmfbPam5i9bzYA5QVeXH/d885sMhOT6isnhkbUGAHJNGW7N/beqFMSRhUkDwC1A/Rf3K7ovEJ47XfTlBOkz3KeCQsAtLO4l4TaDuVxreKPwn1VZp4XsSNyBqxPdMk3qNJSYoH9BjKtq1S0DUJCpcUv1BZ9PvHth0+eT6AWNQuJDHvKzS6Wc5uivkO0wf8/qUSKuAjlxU+Pa3Ow5vE+nWMWPPgXu5/+h8aOlfDt/U0AgLr2UTrHFZaV1BIHy+dfjUCbp4UT7lZWrgIdrFXyuaQ0cqyEqxV/MH4glTmambAOGPnOKm7H05WlulRByYZKQgPirHSqKhNRNgFoIa/Kz3IR0S4X3d05/3KIxampvIrou7+efQWcfl4141a26RlC3nRvieUPdwAoWJBTadPNpS4ULkWbcZpKv4+8e+KTO8oJGGOf3wq2gbgUvSDfY4yRSWTYGTnzhc4BKPtuwjkhRUt5rFARafytJaJj9fXx3C3kOFfh2xduR2GoFghczVRX9HiWp7WwWU8A5lz/14u3YQQLiQx7y5k3a5Fm1uhr0T8gRCsQ6mXRXF4VV6LVfacD5UzPWmWrkdW2gUO0ydlwqtmF43K0bhChtlyNRSJFXWmhLPvYpxeWJm9DfNZd3Mi6j/I2/ricqVwYeqr8/+AgEwf71XWoIKrcVsmm6BZg/BT0NlxkDph7bz0Opikng4tqcaQqQ26WIgepuelwlBkO4niQ8wSR/w3X2X4v+zG8zqgD+Hq61MfqkPE6xykUCsy9tx4A8KlPP3zg0+MFW1962Uqt8WvIBPSMV14bbgr7GHUvTdQ57k5l9cR1rEaG16PlvxRuj/fSn/TCkNfsy8NWYoWM55WFTkV9VaBFqsXFWBsOlvsctUqw+keQlTh72jMDQRQrgsei33Xl/0du1fWQnegk7NMXuPkiNINeCxJ8rkkikeDPsA9R4dwonH+WaPT4D7y7Y969P4X7/pbuQoVFO6m1UAlgb5ruxH3FIvyeI6WKNkH4N3xaiT1fYRZwNHCsiCvRPwi/dwDw5+NDwkIoDwsn3KusztL3urt5krYUN30VomJtw0T3mzlWwVaNBD3ve3WFRCLBX+Efid4/bdr9tWbyGFE/szTo59YY/dwao/WVqUJln3c99Vfje9kEW+e/cGRDWP6Js0or7UoapEsikZg0z6hdtZLXWC+fEGf1ImR7S3shCZ9iiuHK4vZW9jjx5olib1tBhbuGC7fvjrsr3LaxsNFJKqjNxsIGR4Ye0dneI7oHekT3EGIdAGDpyaX498q/uPnkJgCgd8XeQvyDKju6MTHeMcLtKHfxfHI132q48ra6CphmLEXUt1E48eYJnL6rrM7eq2IvrOqqu4C6TkAd7E/cn29G4PyCXzVJJBLUDaiLfYni+XHNgM3qvtVNOpc5WMosDX6e6wfWx+f7P8fuG7sxfONwLGinf+y799reuPnkJnYM3AELqYUQqxPsHIz4d+LR9pe22HR5k87jXGxc0Ci4kWibKq5l/YX1SM9ON7h4ZOs1ZUWsTuU7iRYjlEbJ6clIzco/MFihUIiqO0zePhmbr27G9oHbRWN/qs92z2jla5ZJ9S/6PnzrMA7dPISKnhVRd3FdPMx4iG0DtiHCzfRFomv+W4MJWydgTfc1Jf4ZTkxJRIOlDWBnaYeDrx+Eo7Vjvscfua38fupQrgO+aKGMGWm9sjX+vfKv6Ljy35THxdEXheBqVbyZ6vMEAB/t+Aj7E/fjXto90WMjvo7A7kG74ePoI6rqMGffHJ0FNoZoV6HYEb8DrSNam/TYF9VkWRPsuL5DuH9+1HlUWVAFWblZmLxtMr5ta9p80NSdUwFA529XRbMKQFZult7FK9rSs9NR56c6uJR8CRPrTsSURqYnUlLFIXrae2L/kP2wtSy6itkLjy7Exzs/xg/tfkDH8srrlx3xO9BrbS+MqD4CUxtN1XnMzSc38STzCeTWL14VjagoMeM6vfLirsbhduptPH72GH9c+ENn/+6E3cLthxniTMyaHdKz99RlgpNSk7D12lZsubpFCNgG1BnXLaWWaBmmzgp2+aFy5aXqIkTzR7KSVyWDPx6rz67Wu13zR1fl9Vh1wMTZe2cxe69usHH/Kv1F9+sE1IGjlSMaBjdE/cD8S8Ov7qpui4XUAg2DGoqyTKle07OcZ8JKVHMErhcXfdkVd0dy1VppMcm7G6wkFjoD7wBw7lmiELQOmG/w87uA4ZBCiu8DRpjl+YkAcdCVh9bgdUlTBdSo5FdyXpMqq+R3AbrBKFR4sbahsNX4rXuskUXP3Oo6FG7BUZRNAFxkDpBCihr2ZS9zGpVtmgHSL9PCi3BrdaafTIXymuBG1j2d48xVzSc/qgyrrjL1YPQzhTg47FHu0xJtE5UelW2DYSe1RpCVp8mZxsuy4siEONNXOV4xpowEE5Wk+CzluFR6XqZokV9oPgssZvr2hwxSzNKTifVF1LEvL7qfUMhszNrkUvX4XHzm3XyOBObf26D3+3pp8jbR/V8f7UG2ngQFmlnoY+10xxjKmpbyqrCX2qCBQzSibAJEv4P6dHCqBUuJBRobqE5YEKqgdQBwMZDtvaTlKHLz3V9Fq4pBcdPsWwFAY0f973s7pxpwt5CjtbyazsKios66q1qEDrx4VYUv/YZABik+8xuU73EuGpn+AXFm/IUB+ZfC7q9RAYhezNzn/1/6sngXp3n+bwAAJnuZXtVB5YfAUcJtVwtHXH9+bXI/J8XQQ156vVyU8zzaVVdU5BqLv4KsPNFaXk20X/Na1NDfZnW7cL3bS6seLsoAwMJU431ZaL82ffNZL4OJXl1hKbHA2x7tzd2Ul56vlau5m0AvKMg5CP5yf/jL/bGq6yrIJDLMaWbeRf2F1TayLeTWcjQPbS7a/iTzicHHSCBBh3KGF1Dpk5mbiRspN5D7vE+vGQCuiuEwpoJHBXjaeyLKPcrogv3ZzdSxGBceXMB/9/4TMrYbygisGU9hiL44EEO0YzGWdVomClz/oP7LuZBJM5Zm4TH9yRCyc7Ox+uxq7E3YKwRVq2JUVNnT9QWtA8CjZ490tlX1UVfWUp1PHwupcqz+UYbuOUqbKA/duTXNBReAMnBXO4Zq141dOHP3jGib6rPmYuti9HnHxY3D6bunceruKSQ+ScTO6zsL1O4ev/fA9cfX0fP3kl8YsDdhL64/vo5z98/hxJ38FwIpFArh86DKvA4AJ5LUj6sboEwSdiPlhihD+p2nd0RB64By0YR20DoAXHl4BYuOLwIg/u7Qd6whGTkZovvGXltR0gxa93X0RaBTIOwtlWNAexL2mHwe1d+3p72n3v2asX1pWabNcZ+9dxan7p5CRk6GTqJXY1RxiCfvnBTFEhaF4X8Px720exgfp0648emeT3Ev7R6m7VIvIldoVTD947xuPCSRub08M9xExWRc3Djh9sozK3H23lmEuYZhWftlOPf0HCb/NVnYr10SRSKRoIZvDRy5fUTYN3bzWPx3/z/hGJ+5ygmEKl5VhCB2C6kF/un7D+Sz5Xia9RTR30WLVkNrXnB4O3jj9tjbSM1KRaOljUQlio4lHdP7mlQr8TRprlYGxGV+hsYOxf9a/U9nldfuQbuRk5cDawtrvFn9TdxNu4spO/WvIutZsSeahTaDq60rUjJTdMoKqV7ToVuHcOjWIQDKlbJlhbXUEhoJ4PBtwHBRRkkyr6p2YXhUZRWuZ95F9PnR+R7bXB5TMo3SMsKjDQa4NoG97OUs00llQ47GF5mPZekavDZ18uhjn14Y79VZlPWTXly4jS/uVv4Z8lO9AADBVvov/M2hj2tD9L0+t8CPc7VwxM1KS5CRlymqNkD0MtDMUGsp0Z+9pDTys1IH9OY+nyRp5lgFPz9UD05uj/gUjYog2K2oqRZ0PcxNxYVnN1Hexl+U2RMAqttxEcyrKsTaG3cr/QxLiQWsXjBIryxIzHpQ5OesaR+J9Jg17OMVQit5LP59chxxqSdRxTYYgHLRk3a2dU2TvLvjbY/2RX592sWlDqCubIw+rqZlfjJGIpEgxMoL8Vl3cT3rHirbGQ4e3pWqniyKsglAWt4zJGTdx8Tby3SOfZiTikxFDgbf+B+Sc5RZyE5lqF9AK3lsvu3SDqZ9GTnJ7PGg8gpYSSwglUhxs9Ji9I7/An+mKMf2kiuvFB3vYuGAJ1VWF8nCumArTyGIVFZK+jsZWtVWHlX+BXKZHe5kP4KrhSNspCUbCKhdXSDSxk/vcU4yeyRWXKzz/9LEsbLJFTJMpV2t60W0cqqGlCqrjX4XSSVSJFT8CYFnlYlbsjUWGPRza4zOzrXhcEq3OkJCxZ8QoJW1ngpvrFcnvOneqsTHNus5VCh0H2Goe0s8y8vG2zd/wD9PjuG/Z8qqthMKWCXiZbIqZDy+DRgOVwv9C5GkEimyq/6Bm1kP4GflBkuJBd67pc7erHktOt6rCybcWqpzjiVB7xR5u4vTYLdmaO9UE65l4Hdbn9EebTHdpy9cT/cRtr3owiJzqWkfiUeVf2Hm9SJgKbFARZsgnH12w9xNoUKysbDBlbeU2b2tLazxZNITgxmgSztvB28kvZekk/22RVgLbLm6Re9j7o+/b1KArD5tI9piccfF8LT3xKhNykVsuXn5L1BVsZJZIXFMIqQSqSiBnz7amaDrLq4rZOBWBatqU8VT9Fmn/s6eVG8SZu1VJ8vTFwdiiGYshoXUAgOqDMDhW4eFbRU9K5p8rtJE+z04cusIavjVEG37dPenwu1qP1RDFa8qOHVXWUVGFUw8JGYIFp80XqUCUGbbD3YOxvXH15GYkojX/F/TOWZfwj78cFxZYaZLVOntT46sPhLfHf0OexP2AgACnQIxqsYoTNw6EW0jlNWvR28ajb0Je4X3TFujZY1wf/x93E+7D98v1VW3vOzVVV9mNJmBD7brLo7Ym7AX1x5dE+4P2zgMdpZ26Fu5b4Fex7VH11D7p9qY22Iu6gTUwSe7PsGuG7uwtNNS+Mv9C3Qufa48vIKIr8Xj/ZFukcJtzezm+qRlpwmLYjTb0ySkiRAEvWvQLshny5GenY52q9ohyj0KUxtNhZN1wZLLfbzzY6z+b7Uo+P1Y0jHsur7LpKzrqtfiYOWAp1lPhfuz9szC+ovrEeUehV/O/ILsvGxEuEYIiVkBYEnHJRgUMyjf88/ZOwerzq5C/cD6+LrN1waPu/r2VdhY2ODvPn+jzuI6OHPvDI7dPoZqvtUMPgYANl7aKFTTePe1d/Ueo/l9WHdxXfzS9RfE+uQ/rqe5EOBi8kVU/6G6EKN3c8xN+Mn1j8E8zXoqikPUjjMsKqrFCQqFAtvjtwvbDyQeQO2A2jh486Do+EnbJmFgzMBiaQtRYTHjOr3ytDOBnbp7CuvOr8Ph24cRlxwn2tcmoo3O4x2slINZz3Ke4UH6A8w7OE/vRZRmp85SZgmJRIJg52BhmypoHdANMre3soe3gzdmNVVelNQJyL+Eq3bQuEqn8p30bq8TUEdvaRKZVCbq+Peu2BsSSERlsDS52blBIpHA2cZZp/xPmKtuFipTyq+8LCK0Mhy9bFlFXgV2UmuTBmSDzBiMyaB1Mjd/jQyhtmbOvNNPK+tZORvTBxkY0FQ8HGV2Qhl17f+fl5Wd1JpB6/RSirBWDwabs+9SUJqBTAFW7gCA8lrf7xVsAoxO/JiDZiWS1Q936z3G+iXKfk9Fz0Fm+9IGgBS14voTZh+vcJ7kKjOEp+SmIfN5BnG5zHhAQ3Fdnw52ayrcTinCKj73c5TZ+IxVv9ibpp7Ec5bZ62Qf0nQlMwnrHx/E9tTTOJURLwpaB2Dw96q5YwwAYJDGa32Z2UithOBmW6k12jgpJww9LJzgpOezpHn8i5jopSxH3tMl/yqQJam2fTnhdlt5dThbOEAqkcLXyq3Eg9YLSvP/pdLz67o28vwnfwtD82+8gk3AC5/P1O8ib0t14NLNbPECKkPnYJWUomeusc0X6SNUslX+PUghFRbXmntMrLgZClpXsZDIEGztBUs91zfa15+qTPejPdrCw8IJthIr0fjiy8LdQl7kC3nMzd9Sec093L015DJbIUmJBWQItHx5F+3Yy2xK5ZjBy2isl7KaVTfn/OecqfSytrAW5vFf1qB1FTtLO53v4QruFQwe72bnZtL39of1P9TZVtW7qpCRV5VdunlYc53jDLGSWQmBz8b0jFZnhM7MzcTac2sBGI6RiHDVTYqhmRkeAMJcTK/8lZiSKNxWBdA2Dm4MQJk9/mXlZivuayw/vVznmG+PfCu6rx2rAwDDqg0r0POqsjQbCkJdcnKJcLucWzm9x5QGmnFJgPKzoYp5yszNxJ2nd/DtkW8NBq0DwONnj3HyzklRxmcAcLRW9zO1M/5r0gxcB8TJRvOjnUX84M2DWHJiCRQKBT7e+TG2xW/DspO6iQkK49vD3+psu5R8SbidX2UEQBn4rmJvpa4iNzhmMADl4haZVIaq3sps/rdTb2Nb/DYM+XMIUjILXgFKM2hd5fP9n5v0WNVn2sXGRXR/8vbJOHzrMJadWiZkNNcMWgeAwX8ONnr+GXtm4NTdU/jmyDe4n6a/+uLwasOF70bNgPBBfw4yen7Nv3cfBx+Dx6kyuV9Mvoh3/33X6Hm1FydoJpb98fiPBh+nXUXA2CKHwlJV0NCu4vH+tvcBQKdaQtLTJFHVDaLSgLOq9Mrb0n8L7C3tUWex+MJ8+u7p2PVoFwCgQ7kOeKvmW3pXv6p+PGftnZXvhUJNv5rCClbVxcyyTstQ7QfxBEGYSxiahuqf2OpUvhPOjjgLGwsbhH+tPzD669ZfG8xkvrbHWsimiwPKB8cMxsAqpq2qinCLwKW3LolK2ZhKOxgfAHpV7FXg85RW/4RPxeG0S7CVWsFZ5oBo20BzN4n00MwIo2m270BUsg1CtE2g0YF7orLMQWaLmxWXwEpiYfYJgKVB72DFw53C/Vg70wfjqPgcLv8FErMeGMzkZ27OMnvjBxGVAe2dauJY+XlwktnB/3kA+MvifuUVyMrLFjKETvDqgsm3lZMLIVZe8LIsXLak4mYttUR/18ZY/nAHpt1ZjdMZ13WO0V4UTURUGvRzbYT9aRdwJP0ynuYpS/8aujYuCQsDR2FJ8jYAQKYiu8jOW9ehPDY/OYFBN/6HR7lPcS4jEUPcm2HRgzg8zXuGXi714WkhzliVnpeJBg7RWPl8/E9bliIH8+9tAADYS22Qlpf/pKTKH6GTcTLjGmraRxo/+CU01K0lqtiGIMTKq1gzob/p3goNHKJL1bVHA8eKOFJuLm5mJ6OFvKrxB5Sggiwu3h05Cxcyb6KmXdF/Rl+zL4/dkbOQmZeNJo6Vi/z8hugLsM3PzYpLylyQKhVOVbtQAEAe8nArOxlA6VowUxqsCh6H3te/AAA0dBBnZp3m2wednF9DjF0IPvLuiUxFNpwtymbm8pfN+Qrf4m7OY4Q9T7p0ovw8nM64jnBrH3hYFiyLJ5VNg1ybIsY2RCehAFFp8Vnzz9CpfCe42rqi8gJ1vzJtsukLoKc1noZeFXuh4vfq368pjdTV5RPeTcD99PsIdQktmkZrWdppKQbFDEKPNT2QmpUqBAwbClz/osUXSHqahDXn1gjb7CztcOe9O/j1v19Rw7eG3kzfhtQLrIfzD84DAMa+NhaAMhP48WHHEeJiuFJZaaeZHBIAvj78Ndxs3fBxw48xetNofHf0u3wfrxrDreVfC9sHbIeVzAqPnj3CsL+GIelpksHHxfrEYvPVzVhycgn6Ve6ns18VyDygygC0CGtRwFdVctpFtsOyU+rg7gl1JgjZ/n8/9zuS05V9YlX2bUPGx43XCdDVvMbSrmRw8s2TiFkYA0CZIVzTk8wnBp/nRNIJfHnwS8R6x2Jr/Fad/YtOLMKlh+qA8g93fAgLqQUycjLQNKQp5h2ch4cZD9EouBGmNJwizH9n5mRi0rZJSHmWgo8afqTzufrzorjaqrYOqzvgz15/okO5Djr7bjy+gR5rlFW/3O3cRe9L87DmuDDqAoKclQtoV3RZgZD/qf8eLz+8jPpLlNcjzjbO2DdkH6K/ixb2T2s0DZW9KqPzr53zbR8gDq6PuxqH1WdXY2K9iYh0i8TR20fx9eGv0adiH+y+oUzU42TjhMQniZizbw4eP3us95zWMmudxRt7buxB/SDD11Ca7dB+rK+jL26n3saAKgOEbX6O6nGgs/fOot+6fmgQ1ABjN49FrE8sVnZZifMPzmPn9Z34pPEnSM9WJu34ssWXokUCOm23sBa+h/ck7MG8A/Nw9dFV3E+/D3tLe3zY4EPR78HdtLsGzzVt1zQEOQVhcFXdwP0TSSdE95stb4bRNUZjRtMZkFu/WDK18/fPC7dTs1Ix5M8hOvNSu2/shmSaelsFjwrCwoas3KwCJZjddX0XGi1rBEBZpSJXkYv3672P8u7lC/8iiDQwcJ1eec1Cm+ndvitBPWk1vNpwg8f5OiqzHZ6+expfHPjC4PMMiRkiBK6rVqq52rrqHPdG7BsGzyGRSBDtGS388OpTw7eGwX1SiRStw1vjnyv/CNt6V+xdoOBEfQHohVWYAPjSSi6zQzN5jLmbQUYYCmjs49qApYGJnvOzKh1ZkUpLKXgSs5Val6rAERVVMOkkr27mbgpRiZBIJC/tgh53rSoHMokMgVYeSMi6j/e8OpmnUSZ6zb4clj/cAQD4I+Wgzv7S8htKZC5VbENwKiMevVwamLsppEEVzOkotUViljILcUqu4XGlkmhPgKU7ErMfoLqdbja5Qp9XY5h7zM2fAAA/JqsrIh5Iu4BIjYolAHDuWSJeszecBS0lNx3xWcpJqhArL5x9dsOkttjLbFDX4eXNXmeMRCJBrXzet6J8ngqlMDFEdfsIVEfRfXZfVDlrP1zMvIVOTqYHsDhbOOA1i+KbZKzvEG38oGLQRl4dm54c1ft3PditqbBoRi61g6+l7rg8vZocpbqVaL1L6WJac6lhr/zOc5E56MwlWUhkwn5PS+eSbhrlw0FmCweZ+vPtZemC5vxskwaJRIKqL+nYEr0aLGWWaBjcEAAQ6hKKa4+uYVjssAJll5dKpIj2FPdNNbOlO1o7ijJEFzUbCxu0Cm+FFmEtsPb8WmG7oYzAljJL9K/cXxS47uPgAy8HL7xd6+0CP78qizYAhLkq/94lEgmq+pSuRbgFpe8zMHXXVMR4xxgMWq8fWB97EvYAEGdfbxzSWLj9ccOPMeLvEToZ3VVUmfpVQb7aVBmpa/jWMHtysPxoB2iXdy8vysK847py/DvUJRSRbpH4/dzvQnCxJu2gdW3+cvXCqDCXMFTxrgI3WzckZyTrHOtoZfjv8JPdn+CPC39gxekVBo/R/j9RZZyetmuasG3XjV3oGtUVlbwqAQDirsVh3sF5AAAPew/MbjZbdI6s3CyDz6fScXVHKKboVvJbeGyhkJk8xjtGZ385d/U1qyreTJ/Hzx6jgkcFtIlog02XNwFQJl31sveCBBIooPvcLcNaYvPVzQAgSnjacXVHZORk4OGzh/ij5x8Y+fdIHLl9BD+f+lk4JtYnFmfvnRVegz5zms3B9N3T8TDjobDtox0fYeegnXqPVygUwt8GAGTnipNYqDLzy6TquADN2wCw8sxKrDyzEsDzgPOD84T/uyj3KCGjuep7zhBfR19Ru8duGSva72rrii9aqGP+VIs4DHlz45voX6W/ThWOhJQEnWO/OfINavjVEAXoF8aXB74U3des9GBI6/DWQuB6Zk5mgQLXVUHrALD45GIAyt+2Be0WmHwOovwwcJ3IBPmtiJzVdBZ+OqGcEDt997Sw/dPGn+LDHcryUx3KdcCwasPgYe8BT3tPONkosxlo/iD0q9wPLUJboFsF4wFXdpZ2sJRaCj/w9QPro1fFXvCX+6OmX818H/tD+x+w6swqnL53Gh3LdTSY3b04yCQy5CqUKyv3D9mf72o3ouLgILPF/sjPkKXIwdCEb3A5U3mBxaB1IqKX23z/N9DBqSbaORlewEdEpdfhcl9gf9oFdHDK/1rG3Ia4NcOoRN0Bub/DPkaWIgf17MtukCKRKbZHfIqdqWf4e1zKBFspJ1ZPZsTjepaypLKPmYOWtkZ8gmPpV9DVuY7xg03UyikWG58cMbg/Ies+ErLE5Yh7ONdFR6daWPjgXwBArG0YZvj2wyd3fsX+tAt448bXwrHve3dFv+vqyaHzFfLP4EZUUv4O/xin0uPRydn0wPWyanHQW9iQchit5LE6+74NGA4fC1fYSa3R1ql6qQ4koZIllUjhY+mKpGxlAEOwlSdcmDFcJMzaB9sjPoWXhbO5m0JERK+of/v+i903dqNrha6Fenyvir2w+uzqIm6V6eoG1BUC14fGDtWbrVulTUQb/NrtV9x9ehfhruGiANeCahfZTgju7FOpT6HPU9pIJBKcePMEklKT0OaXNsJ2fUHr0xpNg6utKwZUGQCn2flXHBkaOxQ+Dj6o5V9L7/7xdcZj+enlBqtuqgKdLaXmq3Jnimo+1UT3m4c1h0KhGwC9pvsa+Dr6old0L7QMb4ktV7dgz409OHjrILpFdcP5B+eFOClAN/i8R3QPZOZm4szdMxhVcxQAICcvR2+bNDNbx12Nw6Fbh5CnyENuXi5O3jmpc/zcFnPx3ZHvcPXRVZNfNwBceHABf136CwHyAKw6u0rYrhnnBQB5ijzcSr0FAIh0i8TbNd/GlJ1T8HattyGVSPHRjo/0nn/Nf2tw8s5JzNo7CwDgZe+Fnzr8pPdYFSuZFXpG98Sv//2qs69dZDsAwOIOizFjzwzU9KspBMJvHbAV/937D3fT7mLL1S04cls5JvZG7BvwdfTFkpNLcCn5EmbtmYUq3lWQkaOswrj+wnpM2TFFOF7TgrYLRIHs2n7r9hs6lOuAZqHNsPP6TszcOxO3U29j141dmL13NtKy0rDuwjq0Cmsl/N15O3iLzqG9IOD64+sAoFMR7cSbJzB913S42rqKPmcAhO81AJixZwYuJl8EYLiahcraHmvx96W/sS9xn2gxkYrmohYAOHDzQL7ny87LxomkEyjvXh6Lji/C42eP4Wrriu3XtwMAgpyCcCNFnQRj4PqBuPLwCv6+/Dd+bP8jYn3EYxd7buzB1mtbIZFI0D6yPar5iv9Wjycdx6ITiwy2Z8xrY5Cena6z6CDaQ72Aa9XZVehcvjMmbJ2A7NxsRLpFol1kO1T3rY5t17aJFoEY+ntdeGwhfBx8kKfIg1QiRZeoLsKCEKKCMnvg+nfffYfPP/8cSUlJiI6Oxvz581G/vuESErt27cLYsWPx33//wdfXFxMmTMDw4cNLsMX0KvCX++Pmk5sAADdbN50VXZo87D3gbOOMx88e48KDCwCAL5p/gffqvCcErk9vNB0SiQRdorqIHqvZeXu/7vs6K37z0yq8Ff669BcAYHDMYL0lSAy9tvF1x5v8PEWpf5X+WHpyKUJdQlE7oLZZ2kBU20GZUep1t+Z4//YyeFiwLCZRadXRqRb+TDmEbkUY0EJlk6uFI7q51DV3M4iokLwsXdDZufRfH9hIrdDMsQq2pooHMBs4RIsy2RG9qlwtHNHFhf220sZHI6vwqofKyYcgMy/ejrTxK/IqPuWt/Y0fpKW5PAYR1upMd+94tkcrp2qYkqScvEzOTQWgLCMeaqWeaPvafxjK2xT8+YiKQ5i1D8Ks9WdsfNV4WbpgqHtLvftspdaY4de/hFtEL4vKtkFC4HpTxypmbk3p1NixsrmbQEREr7AItwhEuBW+6lG7iHZmDVyPdIsUbo+tPRbWFtYGj5VJZegR3aNInjfEOUS47WRdtubDY7xjEOUeJdq25eoW0f1BMYPwccOPhfs1fGvgyO0jqOKlv78nk8rQsXxHg8/p46i87srOy0ZuXq5ODJEqIFeVQbq0kkgkQgb6OgF1lAHDEqBJSBNsj1cG3DYPbS58blULRrpEdRHFO+25sUcUUKz9ubWUWWJI1SGibR72HkjJTBHudy7fGX9c+AOAMru4jYUNWqwwnFQUUC4wGFt7LFxtXTH4T9NipFQmb5+MKw+v6GxPy04T3dcM3o3rH4dAp0Ah+B4AFh1fJApIBpRZtnv8Ln4PpjaaikAn45XkBlYZqDdwvXV4awCAl4MXvmr9lWhfk5AmaBLSBADQsVxH1FykTAoU4hyCbhW6YcnJJbj26Bomb5+sc97pu6frbYetpS2Gxg7Fj8d/BAB0jeqK+MfxOJ50HHJrObpHdwcARHtGI9ozGg2CGqDyAuV1wqRtk4TzqLJ7X354Gd+2+Vb0HJrZ1x+kPxBuay98iPGOwbqe63Ag8YBO4LomVdA6YLyae6RbJCJrR2JM7TGQTNNdgJKeLa5Qqfpsai4smNFkBj7Y/oFwzPi48ehcvrNO9nZA+f/y1WHx/9snuz8BAFT7oZpOtv5Ov3YSMsKvPrsaF0ZfEO3vvqZ7vq9vYt2J8HLwwuWHl4W/ZUD53eVi44JHzx5hxN8jsPb8Wmy9tlXYv+rsKpwdcRYdVnfQeQ8MmbprqnB705VNOPTGIZMeR6TNrIHrv/76K95991189913qFu3LhYuXIjWrVvj3LlzCAzU/fKOj49HmzZtMHToUKxYsQL79u3DyJEj4eHhga5dC7e6kkglrn8cPtv3GV6v+jr85H6ov0S5gEJfqRptNXxrIO5anHBftZJrU59NSEhJQBVv/Z1feyt7rOq6CsnpyQUKWgeUmd7DXMLgZOMkdBBKu5lNZsLXwbfQq6GJitIojzbIUmSjuTzG3E0hIgO+DhiGqnahGOLWzNxNISIiAgB8HfAmfnywGT6WrkjIuo/a9uUYtE5EpVoFmwDh9vEMZSaqqrah5mpOsWnkWBFuMkch2FzlI++e+OSOePKvj0tDxNqFor9rY0glUgx2a4qLz26ht2sDAICdVBxEYCOxRC37SHzuNxhPctPRz7VRsb4WIiIqWRVsArH5yQkAgLWkdGfIJCIiooLrXak37qXdQ50A8yy2bxHWAjOazICTtRPKu5cvsecNcQnBsk7L4GLjUiYrDllbWOP37r/j0K1DyMzJRK4iFyfunMD+xP1wsnbCF82/EB2/rNMyLDm5JN+M9/nRzOacmpWKPTf24GnWU/jL/RHpFolNlzcBKP2B6wCwqMMiLDmxBINiBgnb5raYi6oLqwKAEDybn7qBdfFZs89w6NYh+Dj4YEbTGUYfs7TjUny+/3NcSr6EdpHt8FbNt4Tg4C1XtyAjO0N0vKe9J7pX6I6LyRcR4RoBO0s7jKqhDCDvVbEX9iXsw5HbR3D98XU0DG6IDRc35Pv88Y/i9W5/mPEQq86sQqRbJJxtnLH2nDobt77A8wXtFqD1SmVQ+aozq+Bm5wYHK92qTaZWOmgV3gqzm87GtvhtiHSLxJWHV1DZqzKGVRtm0uOr+1bHly2+hEQiQaxPLLLzsjGjyQxsvbYVO67vEB2rev8AYOu1rULgtyor96R6kyC3liM3LxfDqg1DVm4Wlp5cqpOkFQAqelaEpdRSFIyu6UH6AyH5q8pfF//CmbtnAEDIag/AYHWJWv618EXzL3Du/jksPrkY0R7R+O/+f8L+juU64s+LfwIAgp2D9Z5DnykNp2DarmkAgGahzbD12lY8yniEVWdW4UH6A7jZuQnVFUbVGIWO5ToiJy9HiM1be34tjicdx42UG0KGdW0jaoxAeffyOH33NBYc063ku/bcWsikMmRkZyBXkSv6u0tIScCqM8rEGg5WDqjiXQXXHl0T9r9b612kZ6fjh+M/CNu8HLwAAAvbLUTE1+rFXk1CmmBFlxVo+0tbABAFrQPApeRLWHlmpRC0PrL6SL0VLLSFuoTi2qNrOHzrMFadWYVa/rUQ6lL2xpypeEkU+mp+lJBatWohNjYW33//vbAtKioKnTp1wqxZs3SOnzhxIjZs2IDz588L24YPH45Tp07hwIH8SzSoPHnyBE5OTkhJSYFcLn/xF0FllmqFVR3/Otj3+r58j/1s32eYuHWicH9hu4UmdyKomKSkAL/8Ari4APb25m4NERFRmZWtUGCTQoE2Egksy+DgJxEREVFRMGefKfrcKJx7lijcXxE8Fn3LYPD1rtSzaHRZnUnKTeaIB1VWosmlD7DjqXJSLMzaG1eifzB0CgDAhJtL8Pm9P0TbFLH5T34SEdHL6+fk7Rh4Yz4AYLRHW3wd8KZ5G/SK4zgTEZUaaWnAo0dAnz6AU9nKVk1EBZeTlwPLT5SLHN+r/R7mHpgr7LOztBOCPtf2WKs3yLeoZWdnY9OmTWjTpg0sLYtm8aVsugx5ijz0rtgbv3T9pUjOaUzgvEAkPknUu69ZaDPE9Y/Tu0+f6j9Ux7GkYzrb6wXWw96EvUYfL4EECqhDKLtV6IY13dfoHHfj8Q0E/y9YtK11eGv8c+Uf0TbtjNolbc1/a0RZ4G+PvS1UDlBRxcXNazkP7772boGfY+rOqUIAuLYmIU1wIPEAMnIy9O5XiXCNwKW3Lpn8nKo2L++8HJFukai1qBYAIHlCMlxtXfN7qODig4so/61yIdHcFnPx3pb3DB77cMJDuNi6iLYdvnVYeF5DUt5PgdxaLmpzUTk9/DQqeVVCx9UdseHiBsT6xOLYMPVnX/P5VJ/DoPlBSEhJyPe8jlaOeDLpiejxjlaOSM1KxZCYIfBx9MGMPcpFKqNrjMY3R74RjlvcYTEGVy1YFQQqmwoSm222jOtZWVk4duwY3n//fdH2Fi1aYP/+/Xofc+DAAbRoIS4L0rJlS/z000/Izs4ush9jIgD4uePP+GrHV5jTdI7RYzVXVwJATb+axdUsIiIiIiIiIiIik0336YtZd3/HsXRlOeTyNv5mblHxqONQHm+4tcCiZGV58N2RysQok7y7weqeBXIVeXjdrbnR8wz3aI2rWXew7rFpiVKIiOjl1sBBXQ1XCqkZW0JEREREpZWFVB1et/vGbtE+VdB6Rc+KaB5qfNyhtPqr919YenIppjeeXmLPObPpTPT/o79wP9w1HFceXkHLsJYYX2d8gc71Q/sf8Nm+z9A1qivWXViHhxkP0alcJwQ7B2P+ofnIzcvFufvnEO4aDltLWwyNHYpNlzchISUBB24eEP4fAWUW9DGvjdH7PIFOgZhYdyKO3j6K8w/O43bqbZy7fw4AYCm1RJ9KfTA4xvwBvK3CW6Ff5X5ISk1Cbf/aOkHrAPB799+x8fJGDI0dWqjnGFBlAM7cO4OcvBwMiRmC1f+thp+jH+YemItbT24JQetVvKrAw94D2rmVJRIJ3qj6RoGec2WXldiXsA+9K/YGAIyoPgLeDt4mB60DQKRbJMa+NhbZedkYVWMU/rv3H26k3MC2+G3CMU1DmqJhUEOdoHUAqOZTDSOqj8ClZGXAvZONE4bFDsOCYwuQmpmKJiFNhKB1APit229YeWYlelfsjV5re4nO5evoiyj3KABA24i2eJL5BHsS9gAArj26hvjH4koBE+pMQEXPigCAL1t8CUcrR4yrM050zHdtvsPa82vRvUJ3YZu7nbsocH1Y7DBRxvYo9yi8U+sdAMCCtguw5twadKvQDWEuYVhycgmmNpqKzNxMnLt/DhZSC7xf733YWtrieNJxAND7+SIyxmwZ12/fvg0/Pz/s27cPdeqoS/LMnDkTy5Ytw8WLF3UeExkZiUGDBmHyZHXmnP3796Nu3bq4ffs2fHx0/wgyMzORmZkp3E9JSUFgYCDi4+Ph6OhYxK+KypLs7Gzs2LEDjRs3NrooYtmpZXgvTr0C69roa5DbMKO/WaWmAn/8AdjYANbWxo8nIiKiQskGsMPWFo0zMsBlpERERET6mbvPdPjZFbRJVAZynw2dC2+Zsxla8XJxv/w6AKCTYw0s8h5u5tYQEVFxyVHkwvuKsoLuXM8BGOjU0MwterWZu89ERCTIzASePQM6dwYYV0JEAKovqo7rj68b3H/kjSMIcQ4pkbYUJJ6ptAv7Jgwpz1IAAAvbLkTXqK4l3obGPzfGmXvKan0yqQx3xtyBxITqPx/s+AALjy0U7ncp3wU/tMu/0l9ZF3ctDr3X9RbuF+T9NLfai2vj8sPLAIAH4x4U2/P8+t+vGPXPKADAm9XexIzGM/Qe982RbzB111Th/olhJxAgDyjUc35/7Ht8tOMjAOrXNmPPDMw7NA+AMli9W1S3Qp2bSFNqaipCQkLw+PFjOBmpWmT2wPX9+/ejdu3awvYZM2Zg+fLluHDhgs5jIiMjMXjwYEyaNEnYtm/fPtSrVw9JSUnw9vbWeczUqVMxbZr+shRERERERERERERERERERERERERERERE9GISExPh759/5VeLfPcWI3d3d8hkMty5c0e0/d69e/Dy8tL7GG9vb73HW1hYwM3NTe9jJk2ahLFjxwr38/Ly8PDhQ7i5ub0Uq3nIfJ48eYKAgAAkJiZCLmf2dCIiIiJ92GciIiIiMo59JiIiIiLj2GciIiIiMo59JiIiKo0UCgVSU1Ph6+tr9FizBa5bWVmhWrVqiIuLQ+fOnYXtcXFx6Nixo97H1K5dG3/99Zdo25YtW1C9enWDpU+sra1hbW0t2ubs7PxijadXilwuZ0ePiIiIyAj2mYiIiIiMY5+JiIiIyDj2mYiIiIiMY5+JiIhKGycnJ5OOkxZzO/I1duxYLFq0CIsXL8b58+cxZswYJCQkYPjw4QCU2dIHDBggHD98+HDcuHEDY8eOxfnz57F48WL89NNPGDdunLleAhEREREREREREREREREREREREREREREZYbaM6wDQs2dPJCcnY/r06UhKSkLFihWxadMmBAUFAQCSkpKQkJAgHB8SEoJNmzZhzJgx+Pbbb+Hr64uvvvoKXbt2NddLICIiIiIiIiIiIiIiIiIiIiIiIiIiIiIjzBq4DgAjR47EyJEj9e5bunSpzraGDRvi+PHjxdwqIsDa2hpTpkyBtbW1uZtCREREVGqxz0RERERkHPtMRERERMaxz0RERERkHPtMRET0spMoFAqFuRtBRERERERERERERERERERERERERERERGWX1NwNICIiIiIiIiIiIiIiIiIiIiIiIiIiIqKyjYHrRERERERERERERERERERERERERERERFSsGLhORERERERERERERERERERERERERERERMWKgetEREREREREREREREREREREREREREREVKwYuE5ERERERERERERERERERERERERERERExcrC3A0gKg1u3ryJ77//Hvv378edO3cgkUjg5eWFOnXqYPjw4QgICDB3E4mIiIhKnUePHmHZsmW4fPkyfHx8MHDgQPabiIiIiMCxJiIiIqKC4jgTERERkX4cZyIiorJGolAoFOZuBJE57d27F61bt0ZAQABatGgBLy8vKBQK3Lt3D3FxcUhMTMQ///yDunXrmrupRERERGbl6+uLM2fOwM3NDfHx8ahTpw4AoFKlSjh//jxSU1Nx8OBBlC9f3swtJSIiIjIfjjURERERGcdxJiIiIiLjOM5ERERlEQPX6ZVXo0YN1KtXD/PmzdO7f8yYMdi7dy+OHDlSwi0jIiIiKl2kUinu3LkDT09P9O7dG3fu3MHff/8NOzs7ZGZmolu3brCxscGaNWvM3VQiIiIis+FYExEREZFxHGciIiIiMo7jTEREVBYxcJ1eeba2tjh58iTKlSund/+FCxdQtWpVZGRklHDLiIiIiEoXzQnF0NBQLFq0CE2aNBH2Hzp0CN26dUNiYqIZW0lERERkXhxrIiIiIjKO40xERERExnGciYiIyiKpuRtAZG4+Pj7Yv3+/wf0HDhyAj49PCbaIiIiIqPSSSCQAgMzMTHh5eYn2eXl54f79++ZoFhEREVGpwbEmIiIiItNwnImIiIgofxxnIiKissjC3A0gMrdx48Zh+PDhOHbsGJo3bw4vLy9IJBLcuXMHcXFxWLRoEebPn2/uZhIRERGVCk2bNoWFhQWePHmCS5cuITo6WtiXkJAAd3d3M7aOiIiIyPw41kRERERkGo4zEREREeWP40xERFQWMXCdXnkjR46Em5sb5s2bh4ULFyI3NxcAIJPJUK1aNfz888/o0aOHmVtJREREZH5TpkwR3bezsxPd/+uvv1C/fv2SbBIRERFRqcOxJiIiIiLjOM5EREREZBzHmYiIqCySKBQKhbkbQVRaZGdn48GDBwAAd3d3WFpamrlFRERERERERET0suJYExERERERERERFQWOMxERUVnBwHUiIiIiIiIiIiIiIiIiIiIiIiKil0B8fDwCAgJgYWFh7qYQEREVmNTcDSAqDZKSkrBixQps2rQJWVlZon1paWmYPn26mVpGREREVLqw30RERERkXFxcHKZMmYLt27cDAHbv3o3WrVujSZMmWLJkiZlbR0RERFQ6sM9EREREVDjlypXD5cuXzd0MIiKiQmHGdXrlHTlyBC1atEBeXh6ys7Ph7++PP/74A9HR0QCAu3fvwtfXF7m5uWZuKREREZF5sd9EREREZNyKFSswePBgVK5cGZcuXcLXX3+NMWPGoFu3blAoFFi+fDlWrlyJbt26mbupRERERGbDPhMRERGRcV26dNG7/c8//0STJk3g6OgIAFi3bl1JNouIiOiFMOM6vfImT56MLl264NGjR7h79y6aN2+Ohg0b4sSJE+ZuGhEREVGpwn4TERERkXFz587F3LlzcezYMaxfvx4jR47Exx9/jB9//BGLFi3CrFmzMH/+fHM3k4iIiMis2GciIiIiMm79+vV4+PAhnJycRP8AwMHBQXSfiIjoZcGM6/TKc3V1xcGDBxEZGSls++yzzzB79mxs3rwZgYGBzBxKREREBPabiIiIiEzh4OCAM2fOICQkBABgZWWFo0ePonLlygCAixcvom7dunjw4IE5m0lERERkVuwzERERERm3evVqjB8/HtOnT8fgwYOF7ZaWljh16hQqVKhgxtYREREVjoW5G0BUGjx79kx0f8KECZBKpWjRogUWL15splYRERERlT7sNxERERHlz9LSEllZWcJ9a2trODg4CPetrKyQkZFhjqYRERERlRrsMxEREREZ16tXL9SuXRv9+vXDxo0bsWjRIri4uJi7WURERC9Eau4GEJlbxYoVsX//fp3t48aNw+TJk9G7d28ztIqIiIio9GG/iYiIiMi48PBwXLhwQbh/69YtIZMoAFy9ehX+/v7maBoRERFRqcE+ExEREZFpgoKCsGvXLlSsWBFVqlTB5s2bIZFIzN0sIiKiQmPgOr3yBgwYgH379undpyq3ExgYWMKtIiIiIip92G8iIiIiMm7y5MmizFdyuVw0mXj06FH06NHDHE0jIiIiKjXYZyIiIiIynVQqxbRp07Bq1SqMGDECubm55m4SERFRoUkUCoXC3I0gIiIiIiIiIiIiIiIiIiIiIiIiIsOePn2Kq1evIioqClZWVuZuDhERUYExcJ2IiIiIiIiIiIiIiIiIiIiIiIiIiIiIipXU3A0gKu3Onz+P0NBQczeDiIiIqNRjv4mIiIjIOPaZiIiIiIxjn4mIiIjIOPaZiIjoZcTAdSIjsrKycOPGDXM3g4iIiKjUY7+JiIiIyDj2mYiIiIiMY5+JiIiIyDj2mYiI6GVkYe4GEJnb2LFj891///79EmoJERERUenGfhMRERGRcewzERERERnHPhMRERGRcewzERFRWSRRKBQKczeCyJxkMhliYmIgl8v17n/69CmOHz+O3NzcEm4ZERERUenCfhMRERGRcewzERERERnHPhMRERGRcewzERFRWcSM6/TKi4iIwJgxY9CvXz+9+0+ePIlq1aqVcKuIiIiISh/2m4iIiIiMY5+JiIiIyDj2mYiIiIiMY5+JiIjKIqm5G0BkbtWqVcOxY8cM7pdIJGBhAiIiIiL2m4iIiIhMwT4TERERkXHsMxEREREZxz4TERGVRRIFf73oFXfnzh1kZmYiKCjI3E0hIiIiKtXYbyIiIiIyjn0mIiIiIuPYZyIiIiIyjn0mIiIqixi4TkRERERERERERERERERERERERERERETFSmruBhARERERERERERERERERERERERERERFR2cbAdSIjBg4ciCZNmpi7GURERESlHvtNRERERMaxz0RERERkHPtMRERERMaxz0RERC8jC3M3gKi08/Pzg1TKNR5ERERExrDfRERERGQc+0xERERExrHPRERERGQc+0xERPQykigUCoW5G0FEREREREREREREREREREREREREREREZRczrhMBSEpKwvfff4+9e/ciKSkJMpkMISEh6NSpEwYNGgSZTGbuJhIRERGVCuw3ERERERnHPhMRERGRcewzERERERnHPhMREZU1rBVCr7yjR48iKioKf/31F549e4ZLly4hNjYW9vb2GDduHOrXr4/U1FRzN5OIiIjI7NhvIiIiIjKOfSYiIiIi49hnIiIiIjKOfSYiIiqLGLhOr7x3330XY8aMwYkTJ7B//34sW7YMly5dwurVq3Ht2jVkZGTgww8/NHcziYiIiMyO/SYiIiIi49hnIiIiIjKOfSYiIiIi49hnIiKiskiiUCgU5m4EkTnZ2dnh7NmzCA0NBQDk5eXBxsYGiYmJ8PLyQlxcHAYNGoRbt26ZuaVERERE5sV+ExEREZFx7DMRERERGcc+ExEREZFx7DMREVFZxIzr9Mrz9PREUlKScP/u3bvIycmBXC4HAERERODhw4fmah4RERFRqcF+ExEREZFx7DMRERERGcc+ExEREZFx7DMREVFZxMB1euV16tQJw4cPx7///osdO3agb9++aNiwIWxtbQEAFy9ehJ+fn5lbSURERGR+7DcRERERGcc+ExEREZFx7DMRERERGcc+ExERlUUW5m4Akbl9+umnSEpKQvv27ZGbm4vatWtjxYoVwn6JRIJZs2aZsYVEREREpQP7TURERETGsc9EREREZBz7TERERETGsc9ERERlkUShUCjM3Qii0uDZs2fIycmBg4ODuZtCREREVKqx30RERERkHPtMRERERMaxz0RERERkHPtMRERUljBwnYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKldTcDSAiIiIiIiIiIiIiIiIiIiIiIiIiIiKiso2B60RERERERERERERERERERERERERERERUrBi4TkRERERERERERERERERERERERERERETFioHrRERERERERERERERERERERERERERERFSsGLhORERERERERERERGQGjRo1wrvvvmvuZui1c+dOSCQSPH78ON/jgoODMX/+/BJpExEREREREREREREV3O7du9G+fXv4+vpCIpFg/fr1BXr81KlTIZFIdP7Z29sXuC0MXCciIiIiIiIiIiKil86dO3fwzjvvIDw8HDY2NvDy8kK9evWwYMECpKenm7t5Jlm3bh0++eSTQj++UaNGwgSBtbU1IiMjMXPmTOTm5r5w2+rUqYOkpCQ4OTkBAJYuXQpnZ2ed444cOYJhw4a98PMRERERERERERERUfFIS0tDlSpV8M033xTq8ePGjUNSUpLoX4UKFdC9e/cCn8uiUC0gIiIiIiIiIiIiIjKTa9euoW7dunB2dsbMmTNRqVIl5OTk4NKlS1i8eDF8fX3RoUMHczfTKFdX1xc+x9ChQzF9+nQ8e/YMGzduxNtvvw2ZTIaJEye+0HmtrKzg7e1t9DgPD48Xeh4iIiIiIiIiIiIiKl6tW7dG69atDe7PysrChx9+iJUrV+Lx48eoWLEi5syZg0aNGgEAHBwc4ODgIBx/6tQpnDt3DgsWLChwW5hxnYiIiIiIiIiIiIheKiNHjoSFhQWOHj2KHj16ICoqCpUqVULXrl3x999/o3379sKxKSkpGDZsGDw9PSGXy9GkSROcOnVK2D916lTExMRg+fLlCA4OhpOTE3r16oXU1FThmMzMTLz99tvw9PSEjY0N6tWrhyNHjgj7d+7cCYlEgs2bN6Nq1aqwtbVFkyZNcO/ePfzzzz+IioqCXC5H7969RdngGzVqhHfffVf0PBMmTEBAQACsra0RERGBn376Kd/3ws7ODt7e3ggODsbo0aPRtGlToczro0ePMGDAALi4uMDOzg6tW7fG5cuXhcfeuHED7du3h4uLC+zt7REdHY1NmzaJXtPjx4+xc+dODB48GCkpKUKG96lTpwIAgoODMX/+fOGcCQkJ6NixIxwcHCCXy9GjRw/cvXu3QO83EREREREREREREZWcwYMHY9++fVi9ejVOnz6N7t27o1WrVqLxZE2LFi1CZGQk6tevX+DnYuA6EREREREREREREb00kpOTsWXLFowaNQr29vZ6j5FIJAAAhUKBtm3b4s6dO9i0aROOHTuG2NhYNG3aFA8fPhSOv3r1KtavX4+NGzdi48aN2LVrF2bPni3snzBhAtauXYtly5bh+PHjCA8PR8uWLUXnAJRB2d988w3279+PxMRE9OjRA/Pnz8cvv/yCv//+G3Fxcfj6668NvrYBAwZg9erV+Oqrr3D+/HksWLBAlMXGFLa2tsjOzgYADBo0CEePHsWGDRtw4MABKBQKtGnTRtg/atQoZGZmYvfu3Thz5gzmzJmj9/nq1KmD+fPnQy6XC2Vgx40bp3OcQqFAp06d8PDhQ+zatQtxcXG4evUqevbsKTrO2PtNRERERERERERERCXj6tWrWLVqFdasWYP69esjLCwM48aNQ7169bBkyRKd4zMzM7Fy5Uq8/vrrhXo+ixdtMBERERERERERERFRSbly5QoUCgXKlSsn2u7u7o5nz54BUAZkz5kzBzt27MCZM2dw7949WFtbAwC++OILrF+/Hr///juGDRsGAMjLy8PSpUvh6OgIAOjfvz+2bduGGTNmIC0tDd9//z2WLl0qlFL98ccfERcXh59++gnjx48X2vDpp5+ibt26AIDXX38dkyZNwtWrVxEaGgoA6NatG3bs2IGJEyfqvK5Lly7ht99+Q1xcHJo1awYAwuNMkZeXhy1btmDz5s149913cfnyZWzYsAH79u1DnTp1AAArV65EQEAA1q9fj+7duyMhIQFdu3ZFpUqV8n0+KysrODk5QSKRwNvb22Abtm7ditOnTyM+Ph4BAQEAgOXLlyM6OhpHjhxBjRo1hLYaer+JiIiIiIiIiIiIqOQcP34cCoUCkZGRou2ZmZlwc3PTOX7dunVITU3FgAEDCvV8DFwnIiIiIiIiIiIiopeOKqu6yuHDh5GXl4e+ffsiMzMTAHDs2DE8ffpUZ3A9IyMDV69eFe4HBwcLQdQA4OPjg3v37gFQZpvJzs4WAtIBwNLSEjVr1sT58+dF561cubJw28vLC3Z2dqJgcC8vLxw+fFjv6zl58iRkMhkaNmxo0utX+e6777Bo0SJkZWUBUAaBT5kyBVu3boWFhQVq1aolHOvm5oZy5coJ7X777bcxYsQIbNmyBc2aNUPXrl1Fr6Ggzp8/j4CAACFoHQAqVKgAZ2dnnD9/Xghcz+/9JiIiIiIiIiIiIqKSk5eXB5lMhmPHjkEmk4n26avQuWjRIrRr1y7fJCf5YeA6EREREREREREREb00wsPDIZFIcOHCBdF2VYC4ra2tsC0vLw8+Pj7YuXOnznmcnZ2F25aWlqJ9EokEeXl5AACFQiFs06RQKHS2aZ5HIpHke15tmu0uiL59++KDDz6AtbU1fH19hYkFVbu1abb7jTfeQMuWLfH3339jy5YtmDVrFubOnYu33nqrUG3R957o216Q94WIiIiIiIiIiIiIik/VqlWRm5uLe/fuoX79+vkeGx8fjx07dmDDhg2Ffj5poR9JRERERERERERERFTC3Nzc0Lx5c3zzzTdIS0vL99jY2FjcuXMHFhYWCA8PF/1zd3c36fnCw8NhZWWFvXv3Ctuys7Nx9OhRREVFvdBr0VSpUiXk5eVh165dBXqck5MTwsPDERAQIMqGU6FCBeTk5ODQoUPCtuTkZFy6dEnU7oCAAAwfPhzr1q3De++9hx9//FHv81hZWSE3NzfftlSoUAEJCQlITEwUtp07dw4pKSlF+l4RERERERERERERkemePn2KkydP4uTJkwCUAegnT55EQkICIiMj0bdvXwwYMADr1q1DfHw8jhw5gjlz5mDTpk2i8yxevBg+Pj5o3bp1odvCwHUiIiIiIiIiIiIieql89913yMnJQfXq1fHrr7/i/PnzuHjxIlasWIELFy4IAdzNmjVD7dq10alTJ2zevBnXr1/H/v378eGHH+Lo0aMmPZe9vT1GjBiB8ePH499//8W5c+cwdOhQpKen4/XXXy+y1xQcHIyBAwdiyJAhWL9+PeLj47Fz50789ttvhTpfREQEOnbsiKFDh2Lv3r04deoU+vXrBz8/P3Ts2BEA8O6772Lz5s2Ij4/H8ePHsX37doMB5sHBwXj69Cm2bduGBw8eID09XeeYZs2aoXLlyujbty+OHz+Ow4cPY8CAAWjYsCGqV69eqNdBRERERERERERERC/m6NGjqFq1KqpWrQoAGDt2LKpWrYqPP/4YALBkyRIMGDAA7733HsqVK4cOHTrg0KFDCAgIEM6Rl5eHpUuXYtCgQaIkKgVl8WIvhYiIiIiIiIiIiIioZIWFheHEiROYOXMmJk2ahJs3b8La2hoVKlTAuHHjMHLkSACARCLBpk2b8MEHH2DIkCG4f/8+vL290aBBA3h5eZn8fLNnz0ZeXh769++P1NRUVK9eHZs3b4aLi0uRvq7vv/8ekydPxsiRI5GcnIzAwEBMnjy50OdbsmQJ3nnnHbRr1w5ZWVlo0KABNm3aBEtLSwBAbm4uRo0ahZs3b0Iul6NVq1aYN2+e3nPVqVMHw4cPR8+ePZGcnIwpU6Zg6tSpomMkEgnWr1+Pt956Cw0aNIBUKkWrVq3w9ddfF/o1EBEREREREREREdGLadSoERQKhcH9lpaWmDZtGqZNm2bwGKlUKqq2WVgSRX4tISIiIiIiIiIiIiIiIiIiIiIiIiIiIiJ6QVJzN4CIiIiIiIiIiIiIiIiIiIiIiIiIiIiIyjYGrhMRERERERERERERERERERERERERERFRsWLgOhEREREREREREREREREREREREREREREVKwauExEREREREREREREREREREREREREREVGxYuA6ERERERERERERERERERERERERERERERUrBq4TERERERERERERERERERERERERERERUbFi4DoRERERERERERERERERERERERERERERFSsGrhMRERERERERERERERERERERERERERFRsWLgOhEREREREREREREREREREREREREREREVKwauExEREREREREREREREREREREREREREVGxYuA6ERERERERERERERERERERERERERERERUrBq4TERERERERERERERERERERERERERERUbH6P9fE2TELbafrAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "crested.pl.hist.locus_scoring(\n", + " scores,\n", + " (min_loc, max_loc),\n", + " gene_start=start,\n", + " gene_end=end,\n", + " title=\"CREsted prediction around Elavl2 gene locus for Sst\",\n", + " bigwig_values=bw_values,\n", + " bigwig_midpoints=midpoints,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Model performance on the entire test set" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After looking at specific instances, now we can look at the model performance on a larger scale." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we can check per cell type/class the correlation of predictions and peak heights over the peaks in the test set." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Layers with keys: biccn_model" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adata.layers" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:23.275696+0100 INFO Plotting density scatter for class: L2_3IT, models: ['biccn_model'], split: test\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "classn = \"L2_3IT\"\n", + "crested.pl.scatter.class_density(\n", + " adata,\n", + " class_name=classn,\n", + " model_names=[\"biccn_model\"],\n", + " split=\"test\",\n", + " log_transform=True,\n", + " width=5,\n", + " height=5,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To now check the correlations between all classes, we can plot a heatmap to assess the model performance." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:23.381532+0100 INFO Plotting heatmap correlations for split: test, models: ['biccn_model']\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "crested.pl.heatmap.correlations_predictions(\n", + " adata,\n", + " split=\"test\",\n", + " title=\"Correlations between Groundtruths and Predictions\",\n", + " x_label_rotation=90,\n", + " width=5,\n", + " height=5,\n", + " log_transform=True,\n", + " vmax=1,\n", + " vmin=-0.15,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It is also recommended to compare this heatmap to the self correlation plot of the peaks themselves. If peaks between cell types are correlated, then it is expected that predictions from non-matching classes for correlationg cell types will also be high." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "crested.pl.heatmap.correlations_self(\n", + " adata,\n", + " title=\"Self Correlation Heatmap\",\n", + " x_label_rotation=90,\n", + " width=5,\n", + " height=5,\n", + " vmax=1,\n", + " vmin=-0.15,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sequence contribution scores\n", + "\n", + "We can calculate the contribution scores for a **sequence** of interest using the {meth}`~crested.tl.Crested.calculate_contribution_scores_sequence` method. \n", + "You always need to ensure that the sequence or region you provide is the same length as the model input (2114bp in our case). " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Contribution scores on manually defined sequences" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:24.012136+0100 INFO Calculating contribution scores for 2 class(es) and 1 region(s).\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Region: 100%|██████████| 1/1 [00:04<00:00, 4.36s/it]\n" + ] + } + ], + "source": [ + "# random sequence of length 2114bp as an example\n", + "sequence = \"A\" * 2114\n", + "\n", + "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_sequence(\n", + " sequence, class_names=[\"Astro\", \"Endo\"]\n", + ") # focus on two cell types of interest" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Contribution scores on manually defined genomic regions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Alternatively, you can calculate contribution scores for **regions** of interest using the {meth}`~crested.tl.Crested.calculate_contribution_scores_regions` method. \n", + "These regions don't have to be in your original dataset, as long as they exist in the genome file that you provided to the `AnnDataModule` and they are the same length as the model input. " + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:28.374958+0100 INFO Calculating contribution scores for 3 class(es) and 1 region(s).\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Region: 100%|██████████| 1/1 [00:03<00:00, 3.82s/it]\n" + ] + } + ], + "source": [ + "# focus on two cell types of interest\n", + "regions_of_interest = [\n", + " \"chr18:61107770-61109884\"\n", + "] # FIRE enhancer region, should only have motifs in Micro_PVM\n", + "classes_of_interest = [\"Astro\", \"Micro_PVM\", \"L5ET\"]\n", + "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_regions(\n", + " region_idx=regions_of_interest, class_names=classes_of_interest\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Contribution scores for regions can be plotted using the {func}`crested.pl.patterns.contribution_scores` function. \n", + "This will generate a plot per class per region." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAE34AAAJQCAYAAAB/DnItAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3wUdf7H8ffM9mwqARJ6QECKoDTFCnoiNlRsYEfQu/NnPct5ljuxHnqiqGc5KxwKooLInV0BBRRUFDvSiwQSIGVTtu/8/phkSUyAEBNR7vV8PPZB9jvf+c5n+nfKfjAsy7IEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGg25t4OAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD2dSR+AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIBmRuI3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGhmJH4DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgGZG4jcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAaGYkfgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAZkbiNwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABoZiR+AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIBmRuI3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGhmJH4DAAAAAAAAAAAAAAAAAOzS5MmTZRiGxowZs7dDwS+I9Q4AAAAAAAAAAAAAAAAATYvEbwAAAAAAAAAAAAAAAAD2SXl5eTIMY5efSZMmJeuvW7cuWb5u3bpabY0ZM6bOuC6XSzk5OTrhhBP08ssv7zSO6uRZu/vk5eU1eN7mz5/foDYNw9jDpYZfQn3bhGmaysrK0qGHHqr7779foVBob4cJAAAAAAAAAAAAAAAAAGhizr0dAAAAAAAAAAAAAAAAAAA0p27duql169b1DmvXrt0etdW6dWt169ZNkhQOh7Vq1Sq99dZbeuutt3TppZfqySef3Om4Ho9HAwcO3OnwNm3a7FEs1Q4//PBGjYe9r+Y2EY/HtWHDBi1evFiLFy/W9OnTNX/+fKWlpe21+DIyMrT//vs3etsEAAAAAAAAAAAAAAAAANRG4jcAAAAAAAAAAAAAAAAA+7Sbb75ZY8aMaZK2TjjhBE2ePDn5PR6P67777tPNN9+sp556SmeddZaGDRtW77i5ublauHBhk8RRU3O0iV9GfdvE22+/rTPOOEOff/65JkyYoLvvvnsvRSeNHDlSI0eO3GvTBwAAAAAAAAAAAAAAAIB9jbm3AwAAAAAAAAAAAAAAAACA3yqHw6GbbrpJRxxxhCRp1qxZezki/NYNHz5cf/rTnySxPQEAAAAAAAAAAAAAAADAvobEbwAAAAAAAAAAAAAAAADwMw0aNEiStG7dur0byG5MnjxZhmFozJgxCofDGj9+vLp27Sqv16sOHTro2muvVUVFxS7b2JPx4vG4XnvtNY0dO1a9e/dWRkaGUlJS1LNnT/35z3/Wtm3b6p3G0KFDZRiG5s+fr+XLl+uss85Sy5Yt5fP5NGDAAL300ku7jPHdd9/V6aefrrZt28rj8aht27Y6+uij9eijjyocDtepv3z5co0dO1Z5eXnyeDzKzs7WSSedpLlz59bbfl5engzD0Lp16zRv3jydcMIJatmyZTLmn2t321NRUZFuueUWHXDAAfL7/UpLS9PgwYP11FNPKZFI1DtOJBLRPffco/33319er1ft2rXTH//4R23dulXjx4+XYRgaP358rXFqbi/1+fbbb3XBBReoffv2crvdysnJ0RlnnKHFixfXW3/MmDEyDEOTJ09Wfn6+xo4dqzZt2sjr9ap379569NFHG7R8AAAAAAAAAAAAAAAAAOC3isRvAAAAAAAAAAAAAAAAAPAzVVZWSpJSUlL2ciQNE41Gddxxx+mOO+6Q1+tVXl6e8vPz9eCDD2rkyJFNNt7mzZt12mmnacqUKSouLlbXrl3VqVMnrVu3Tv/4xz80aNAgFRQU7HR6S5cu1aBBg/T2228rLy9PaWlp+vzzzzVq1Cg9//zz9Y5zxRVX6LjjjtOrr76qSCSivn37yu1268MPP9QVV1yhzZs316r/0ksv6cADD9Rzzz2noqIi9erVS263W2+88YaOPfZYPfLIIzuNb/r06Tr22GO1ZMkSdenSRe3bt99p3T2xq+3p22+/Vd++fXXPPfdo5cqVysvLU05Ojj755BP9/ve/16hRo2RZVq1xYrGYTjnlFN1yyy1asWKF8vLy1Lp1az3zzDM6+OCDVVRUtMcxzpkzRwMGDNDzzz+viooKHXjggbIsS7NmzdLhhx+up556aqfjrl+/XgMGDND06dPVtm1bZWdn67vvvtMVV1yhu+++e49jAQAAAAAAAAAAAAAAAIDfChK/AQAAAAAAAAAAAAAAAMDPEIlENHfuXEnSQQcdtHeDaaCXX35Z27Zt0/Lly/XNN99o+fLlWrRokdLT0/Xuu+/qrbfeapLx0tLSNHnyZG3dulX5+flaunSpvv/+e23evFlXXHGF1q1bp7/85S87jfOmm27SmDFjVFhYqM8++0wFBQW68cYbJUk33nij4vF4rfoPPfSQHn30UaWkpGjq1KkqLCzUp59+qnXr1mnr1q2aOHGi/H5/sv5XX32lCy+8UKZp6sknn1RJSYm++OILbd68WXPmzFFaWpr+9Kc/6csvv6w3vr/+9a+67bbbVFhYqE8++UQbNmzQoYce2qB1sCtvvvmmpLrbU0VFhU499VRt2rRJV111lbZu3apvv/1Wq1at0jfffKPevXvrlVde0WOPPVZrvEmTJuntt99WixYttGjRIi1fvlxffPGF1qxZo6ysLD3xxBN7FF9+fr4uuOAChcNhXX311SooKNCnn36qLVu26O6771YikdDll1+ur776qt7x7777bh1xxBHavHmzli5dqk2bNiVjvuuuu1RSUrJH8QAAAAAAAAAAAAAAAADAbwWJ3wAAAAAAAAAAAAAAAADs0y6++GIZhlHnM3To0J/Vbjgc1pdffqmzzjpLK1euVIsWLfT73/9+p/XXr19fbxzVn2uuuaZRceyqzdNOO63ecWKxmKZMmaLu3bsnywYPHqxLLrlE0o7EYz93vIyMDF100UVq0aJFrfLMzEw98sgj6tChg1566SXFYrF6p9erVy899NBD8nq9yXm98847lZubq/z8/FqJxYLBoO68805J0hNPPKHzzz9fprnjFbkWLVro2muvVatWrZJlt99+u8LhsO69915deumlteqPGDFCd999t+LxuB5++OF64zvxxBP1t7/9TU6nMxmfx+Opt+7uxONxrV27VrfccoumTp0q0zT15z//uVadZ599VqtXr9bIkSP10EMPKT09vdaymjZtmgzD0AMPPJAsTyQSmjRpkiTp4Ycf1mGHHZYcVr38E4nEHsX62GOPKRAI6KCDDtKkSZPkdrslSaZp6uabb9aJJ56oaDSq+++/v97xs7OzNXnyZGVmZibLLrvsMvXv31+hUEjz5s3bo3gAAAAAAAAAAAAAAAAA4LfCubcDAAAAAAAAAAAAAAAAAIDm1K1bN7Vu3bpOeZ8+ffa4rSlTpmjKlCl1ygcPHqzHH39cOTk5Ox3X4/Fo4MCBOx3epUuXPY5Hkg4//PCdDuvVq1e95QcddFC9sQwaNEiStGbNmiYdb+7cufrPf/6jFStWqKysLJlorLS0VJWVlVq5cqV69uxZZ7yxY8fWSsYmSS6XSwceeKC2bNmiNWvWqF+/fpKkRYsWafv27Wrbtq3OO++8euOoKRKJ6I033pDD4dCYMWPqrXPKKafoyiuv1AcffFDv8AsvvHC309mV6mSAP9WxY0f94x//0PDhw2uVz5o1S5KSifZ+qm/fvsrLy9OaNWv0448/qn379vruu++0adMm+f1+nXXWWXXG6dq1q4488kjNnz+/wXG/8847kqQrrrii3uFXX3213njjjWS9nzrnnHPk9/vrlA8aNEiff/75TrcjAAAAAAAAAAAAAAAAAPitI/EbAAAAAAAAAAAAAAAAgH3azTffvNPEXnuqdevW6tatmySpuLhYK1euVDQa1X777Vdv4rKacnNztXDhwiaJo6bGtLnffvvVW16dIK+8vLxJxotEIho1apRmz569y3iKiop+9vS+//57SdLBBx9cJ1lcfVasWKFQKCS3260TTzyx3jqWZUmSNm3aVO/w3a3z3amZDDAYDGrlypUqKytTy5YtNXjw4Dr1v/76a0nS3/72N91zzz31trlt27ZkzO3bt9fKlSslST169JDb7a53nL59++5R4rcVK1ZI2nliwd69e0uSCgoKFAgElJ6eXmt4Y7c/AAAAAAAAAAAAAAAAAPitI/EbAAAAAAAAAAAAAAAAADTQCSecoMmTJye/b9y4UWeeeaZeeOEFeb1ePf3003svuD3g9/vrLa9OmFad8OznjjdhwgTNnj1bubm5uu+++3TUUUcpNzdXHo9HknTEEUdo0aJFikajP3t6gUBAkpSZmVnvOD9VWloqyU5Ot2jRol3WDYVCexRfQ/00GWB5ebmuvfZaPfXUUzrxxBP12Wefyev11ol56dKlu207GAxKkioqKiRJaWlpO627q2H1qU7MVp2o7adycnKSf5eVldVJ/NbY7Q8AAAAAAAAAAAAAAAAAfut2/9+aAgAAAAAAAAAAAAAAAADq1aFDB82cOVN+v1/PPPNMrSRekF544QVJ0uTJk3XBBReoU6dOyaRvkp04r6lUJy8rKSlpUP3U1FRJUrt27WRZ1m4/v4TU1FQ9/vjj6t+/v7799lvdf//99ca8cuXK3cY7dOhQSTuSrFUna6tPWVnZHscpSYWFhfUOLygoSP69p0nlAAAAAAAAAAAAAAAAAGBfRuI3AAAAAAAAAAAAAAAAAPgZ2rdvryuvvFKSdOutt+7laH5d1q1bJ0k67LDD6gzbvn27Nm3a1GTT6t27tyTp008/VSKR2G39bt26yeVyafPmzSoqKmqyOH4uh8Ohe+65R5J0//33q7S0NDmsV69ekqRvvvmmwe11795dkrR8+XJFo9F663z99dd7FGN1m9999129w7/99ltJUk5OjtLT0/eobQAAAAAAAAAAAAAAAADYl5H4DQAAAAAAAAAAAAAAAAB+pmuuuUZer1cffPCBFi1atLfD+dXw+XySpIKCgjrDJk6cqHg83mTTOvzww9WyZUtt2rRJ06dP3239lJQUDR8+XIlEQg8//HCTxdEUhg8frn79+qm0tFT//Oc/k+Wnn366JOnhhx+WZVkNaqtnz55q166dysvL9corr9QZvmbNGi1YsGCP45NUK7aaqpdndT0AAAAAAAAAAAAAAAAAgI3EbwAAAAAAAAAAAAAAAADwM+Xk5Oiiiy6SJN1zzz17OZpfjyOOOEKSdN1116m8vFySZFmW/v3vf+v++++X1+ttsml5vV799a9/lST94Q9/0PTp02slRysuLtaDDz6orVu3JsvuvPNOeTwe3XXXXZowYYKCwWCtNjdv3qyHHnpITzzxRJPF2VB//vOfJUmTJk1SZWWlJHu+unTponnz5um8887T5s2ba41TXl6ul156Sddee22yzDRNXXPNNZKkq666SosXL04O+/HHH3X22WfLMIw9iu2yyy5Tenq6li1bpj/96U+KRCKSpEQiofvuu0+vv/66XC6Xrrvuuj2ebwAAAAAAAAAAAAAAAADYl5H4DQAAAAAAAAAAAAAAAACawPXXXy/TNPXGG29o2bJldYZv2bJFRxxxxC4/1cnR9sTu2ly1alUTzF3j3H777fJ4PJozZ47atWungQMHqn379rrooos0evRoHXLIIU06vSuvvFKXXXaZKioqdO6556p169Y6+OCD1blzZ7Vq1UrXXnutKioqkvUPOuggTZ8+XR6PRzfddJNatGihfv366ZBDDlHHjh3Vtm1bXXPNNVq3bl2TxtkQZ511ljp37qxt27bpySeflCSlpqbq9ddfV+fOnTV9+nS1b99evXr10uDBg7X//vsrMzNTo0aN0kcffVSrrWuuuUbHHXectm3bpkMPPVQ9e/ZU//791blzZ23fvl1//OMfJUkOh6NBsbVt21ZTp06V2+3WpEmTlJubq4MPPlht2rTRjTfeKNM09c9//lN9+/Zt2oUCAAAAAAAAAAAAAAAAAL9xJH4DAAAAAAAAAAAAAAAAgCbQtWtXnX766ZKke+65p87wcDisRYsW7fITi8X2eLq7a7MxyeSayoABA/Thhx9q2LBhSiQSWr58uVq3bq2HH35YU6ZMafLpGYahxx57TK+//rpOPvlkGYahL7/8UtFoVEOGDNFjjz2mtm3b1hpn5MiR+u6773T11VcrLy9PP/zwg7777julpKRo5MiRmjJliv7yl780eay743A4dN1110mSJk6cqEgkIknq0aOHvvzyS02YMEGDBg3Spk2btGzZMkUiEQ0ZMkT333+/XnzxxVptOZ1O/ec//9Fdd92lbt26ac2aNdqyZYsuuugiLVmyRB6PR5KUlpbW4PhOOeUULV26VOedd568Xq+WLVsmy7I0cuRILVy4UL///e+baEkAAAAAAAAAAAAAAAAAwL7DsCzL2ttBAAAAAAAAAAAAAAAAAACAvWPEiBH673//q1dffVWnnXba3g4HAAAAAAAAAAAAAAAAAPZZJH4DAAAAAAAAAAAAAAAAAOB/1I8//qiuXbsqFovpxx9/VG5u7t4OCQAAAAAAAAAAAAAAAAD2WebeDgAAAAAAAAAAAAAAAAAAADSvu+66SytXrqxV9sMPP+jUU09VOBzWqaeeStI3AAAAAAAAAAAAAAAAAGhmhmVZ1t4OAgAAAAAAAAAAAAAAAAAANJ+8vDytX79eLVu2VF5enkpLS5OJ4Lp06aIPP/xQ7dq128tRAgAAAAAAAAAAAAAAAMC+jcRvAAAAAAAAAAAAAAAAAADs45555hm9/PLL+uabb7R9+3aZpqnOnTvrtNNO03XXXaesrKy9HSIAAAAAAAAAAAAAAAAA7PNI/AYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzczc2wEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwL6OxG8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0MxI/AYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzYzEbwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQzEj8BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADNjMRvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANDMSPwGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAM2MxG8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0MxI/AYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzYzEbwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQzEj8BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADNjMRvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANDMSPwGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAM2MxG8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0MxI/AYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAzYzEbwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQzEj8BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADNjMRvAAAAAAAAAAAAAAAAANAA48ePl2EYmj9//t4OBQAAAAAAAAAAAAAAAAAA/AaR+A0AAAAAAAAAAAAAAAAA9pL//Oc/uvLKK3X44YfL7/fLMAyNHz9+l+Pk5+fr6quvVq9eveT3+5WTk6MjjjhCU6dOVTwe3+MY1q5dq0svvVSdOnWSx+NRTk6Ojj76aL388su16lVWVmrixIk699xz1aNHD5mmKcMwtG7duiadv3A4rDvuuEPdu3eX1+tVmzZtdMkll2jLli116lYn49vVZ9y4ccn669at2219h8NRaxpDhw7d7ThTp06tE9unn36qE088UVlZWfL7/Tr44IM1bdq0Xc77rhQWFuraa69Vt27d5PV6lZ2drUMPPVSPP/54nbqPPPKILr74YvXt21dOp3O3CQs//PBDXX/99Tr66KOVkZEhwzA0ZsyYXcaTSCT0z3/+U3379pXP51OrVq109tlna+XKlbus379/f6WkpCg9PV1DhgzRnDlzdjqNlStX6uKLL1a3bt3k8/nUrl07DRs2bKfjBINBPfDAA+rfv7+ysrKUmZmpAw88UHfffbdKS0t3OT+S9PLLLyfX6Ysvvrjb+gAAAAAAAAAAAAAAAACwp5x7OwAAAAAAAAAAAAAAAAAA+F81ceJEffDBB0pPT1fbtm21atWqXdZfs2aNDjnkEG3fvl3Dhw/XiBEjFAgENHv2bF144YWaO3eunnvuuQZP/91339Vpp50mSRoxYoS6dOmi4uJiffXVV3rvvfd01llnJesWFhbq+uuvlyR16tRJWVlZKioqatL5SyQSOvXUU/X222/rkEMO0emnn67Vq1frueee07vvvqslS5YoNzc3WX/o0KE7bevpp5/Wpk2bNHz48GRZZmambrvttnrrf/bZZ3r99ddr1ZekMWPG1DudaDSqv//97zJNU7/73e9qDZs/f76GDx8ut9ut0aNHKyMjQ7NmzdJ5552ndevW6eabb97lcvipZcuW6bjjjlNxcbFOOukknXnmmSovL9f333+v//znP7rssstq1b/qqqskSW3atFGrVq3qTZpX07PPPqspU6YoJSVFHTt2VCAQ2G1Mf/zjH/XUU0+pV69euvLKK1VQUKAZM2bonXfe0UcffaRevXol61qWpbPPPlszZ87Ufvvtp3HjxikcDuu1117TqaeeqkceeURXXHFFrfaXLFmio48+WtFoVKeccorOOOMMFRYWatasWTr11FM1fvz4WusyGo3q6KOP1pIlS3TQQQfpoosukmEYmjdvnm699VZNnz5dn3zyiVJSUuqdn8LCQv3f//2f/H6/Kioqdjv/AAAAAAAAAAAAAAAAANAYhmVZ1t4OAgAAAAAAAAAAAAAAAAB+7caPH6/bb79d8+bN22XCsT2xYMEC5ebmqmvXrpoxY4bOOecc3XbbbRo/fny99f/v//5Pjz/+uB566KFkci9JKikp0UEHHaT169dr3bp16tSp026nvXHjRh1wwAHKycnRe++9p44dO9YaHovF5HTu+L9Fy8vL9fHHH2vAgAFq0aKFjj/+eL399ttau3at8vLymmT+nnvuOY0dO1ajR4/WtGnTZBhGrfILL7xQU6ZM2e28FRQUqH379srIyFB+fr7cbvduxxkxYoT++9//aubMmTr99NN3W3/mzJk688wzNWLECM2ZMydZHovF1KNHD/3444/6+OOP1a9fP0lSWVmZDj30UP3www/67rvv1K1bt91Oo3q8Aw44QMFgUO+995769u1ba/hP15Mkvf766xowYIByc3P1xz/+Uf/61792ud1+9tln8vl86tGjhz799FMdeuihuuiiizR58uR668+bN0/HHHOMjjzySL377rvyeDySpPfff1/Dhg3TkUceqQ8++CBZ/5VXXtFZZ52lww8/XO+++658Pp8kadu2bRo4cKC2bNmi5cuX19qOTjzxRL355pt67bXXdMoppyTLN2zYoD59+igajaq4uDg57ZdeekmjRo3S6aefrpkzZ9aKd+TIkZo9e7amTJmiCy+8sN55OuOMM7R06VKdeeaZmjhxoqZPn67Ro0fXWxcAAAAAAAAAAAAAAAAAGsvc2wEAAAAAAAAAAAAAAAAAwK/BggULNHLkSOXk5Mjj8ahDhw46/fTTtXDhwjp1X3rpJfXv318+n09t2rTRVVddpWAwWKvO/PnzZRiGxo8fr48//ljDhw9XZmZmMpmZJB155JHq1q1brbJdWbNmjSQ7KVZNmZmZOvzwwyVJW7dubVBb99xzjwKBgJ544ok6Sd8k1UkmlpqaqmHDhqlFixYNal/a8/l76qmnJEkTJkyoNc7FF1+snj17asaMGSorK9ttO5MnT1YsFtMFF1zQoKRv+fn5evPNN9W6dWuNGDGiQbE+/fTTkqRx48bVKp87d65Wr16tc889N5n0TZLS0tL017/+VbFYTM8991yDpiFJjz32mDZs2KAJEybUSfom1V1PknTSSScpNze3wdMYOHCgevfuLYfD0aD61evprrvuSiZek6Tf/e53Gj58uD788EOtWLEiWT579mxJ0s0335xM+iZJLVu21J/+9CeFw+E6y2TNmjUyDEPHH398rfKOHTsmE+HV3Baq940TTjihTrzV+0thYWG98zNt2jTNmjVLTz75pFJTU3c7/wAAAAAAAAAAAAAAAADQWCR+AwAAAAAAAAAAAAAAAPA/79FHH9WQIUP0zjvvaNiwYbruuut0zDHH6Msvv9Qrr7xSp+7YsWPVs2dPXXbZZcrKytIjjzyiSy65pN62P/roIw0ZMkSS9Pvf/16jRo1qdJy9e/eWJL311lu1ygOBgBYtWqScnBz16tWr1rC8vDwZhqF169YlyyzL0ksvvaTs7Gwdc8wxWrp0qR544AHdf//9eu+995RIJBodY2OFQiEtWbJE+++/vzp16lRn+HHHHadwOKzFixfvtq1nn31Wkna6Tn5q8uTJisfjuvDCC+VyuXZb/8cff9Q777yj3NxcnXTSSbWGzZ8/PxnvT1WXffDBBw2KS5JmzJghwzB0xhln6IcfftAjjzyi++67T3PmzFEkEmlwO01p/vz58vv9yWSDNQ0fPlxS7XksKCiQJHXu3LlO/eqyuXPn1irv3bu3LMvSO++8U6t848aN+uabb9SnTx+1bNmyVn2p7r4hSW+++aYMw9DQoUPrDNuyZYuuvPJKjR07tt51BgAAAAAAAAAAAAAAAABNqe5/9QkAAAAAAAAAAAAAAAAA/0O+/vprXX311WrTpo0WLVqkvLy85DDLsrR58+Za9d99910tXbpU+++/vyTp7rvv1kEHHaTp06frH//4h9q2bVun/jPPPKOxY8f+7FhvuOEGzZkzR1dffbXefPNN9enTR4FAQK+99ppcLpdmzpyplJSU3bazdu1aFRUVadCgQbrsssv0xBNP1Brer18/zZkzR+3bt//ZMTfU6tWrlUgk1K1bt3qHV5evXLlSw4YN22k7CxYs0IoVKzR48OBkMrBdsSwrmShu3LhxDYr1ueeeUyKR0JgxY+R01n4Nb+XKlbXirSkrK0stW7ZM1tmdSCSir776Sq1atdI///lP/e1vf6uVlK9Lly6aPXu2+vTp06D2mkJFRYU2b96sAw44QA6Ho87wmuupWqtWrSTZ213Pnj1r1V+7dq0kacWKFbXK77zzTi1cuFCnn366Tj31VHXt2lVbt27VrFmz1KlTJ7300ku16p988skaMWKEZs6cqQEDBiSTLc6fP1+rVq3SY489poEDB9aJ9w9/+IO8Xq8mTpy4p4sCAAAAAAAAAAAAAAAAAPaYubcDAAAAAAAAAAAAAAAAAIC96YknnlA8Htddd91VK+mbJBmGUSeR29VXX51M+iZJPp9P55xzjizL0tKlS+u0369fvyZJ+iZJubm5+vjjj3XsscfqjTfe0L333qvHH39cRUVFuuiii9SvX78647z//vv6/vvv1a5du2RZYWGhJOnzzz/X888/r+eee05FRUVau3atLr30Un3xxRc688wzmyTmhiotLZUkZWRk1Ds8PT29Vr2deeaZZyRJl1xySYOm+8EHH2j16tU64ogj1KNHj93WtyxLzz33nKT6E8U1ZD52Nw/VioqKFI/HtX37dt1+++267777VFBQoB9//FF//etftXbtWo0YMUKhUKhB7TWFxqynE044QZI0YcKEWrFu375dkyZNkiSVlJTUaqdXr15avHix+vbtq1deeUUTJkxIrtuLL764TmI9wzD06quv6vrrr9cXX3yhBx98UA8++KC++OILnXbaaTr++OPrxPrvf/9bc+bM0eOPP67MzMyGLwQAAAAAAAAAAAAAAAAAaCTn7qsAAAAAAAAAAAAAAAAAwL7rk08+kSQdd9xxDarfv3//OmXt27eXVDd5lSQdfPDBjQ/uJ1avXq2TTz5Zqamp+vDDD9WvXz+VlJRo2rRpuuWWW/TWW29p4cKFcrlcyXH222+/Ou0kEglJUjwe15133qkxY8ZIkrKysvTkk0/qq6++0pIlS7Rw4UIdccQRTRZ/cwsEAnr55ZeVmpqqUaNGNWic6mRi9SVxq8/cuXO1du1aDRkyRF27dm10rNVmz56tZcuW1SobOnSohg4dWms9XXHFFbruuuuSde644w6tWLFCM2bM0CuvvKLzzz//Z8fSXM455xw999xzmjdvnvr06aPjjz9e0WhUs2fPVk5OjiTJ4XDUGuezzz7Tqaeeqt69e2vp0qXq0aOHCgoK9Nhjj+naa6/VggULNGvWrGT9YDCo0aNHa8mSJZo2bZqGDRsmwzD0/vvv66qrrtKbb76pxYsXJ/eH/Px8XXPNNRo9erROOeWUX25hAAAAAAAAAAAAAAAAAPifRuI3AAAAAAAAAAAAAAAAAP/TSkpKZBiG2rRp06D6GRkZdcqcTvtVrHg8XmdYdWKrpnDxxRdr/fr1WrNmjXJzcyVJqamp+vOf/6yioiLde++9ev7553XxxRfvsp2a81Bf0qsRI0ZoyZIl+uyzz36xxG/VMZWWltY7PBAI1KpXn+nTp6uyslLjxo1TamrqbqdZUlKimTNnKj09XWeffXaD4nz66aclSZdcckm9wxsyHzXnYfbs2ZoyZUqdekOHDm3QepoxY4Y+++yzXyzxW2PWk9Pp1JtvvqkJEyZo2rRpevLJJ5WRkaGRI0fq+uuvV/fu3dWqVatk/Wg0qlGjRskwDM2ePVspKSmSpM6dO+sf//iHNm7cqBkzZmjevHk6+uijJUl///vfNWfOHL322mu1ltVZZ52ltLQ0nXDCCbrjjjuSy/r//u//5HA49MgjjzTh0gEAAAAAAAAAAAAAAACAXTP3dgAAAAAAAAAAAAAAAAAAsDdlZmbKsixt3ry5Wdo3DKNJ2ikrK9OCBQvUs2fPZNK3mo455hhJ0tKlS3fbVteuXeVwOCTZ8/9T1WXBYLDxAe+h/fbbT6ZpauXKlfUOry7v1q3bTtt45plnJO08KdtPTZs2TcFgUOecc04yudiuFBcX69VXX1VmZqbOOOOMeutUx1fffBQXF2vbtm215mHy5MmyLKvWZ/z48ZIkv9+vdu3aSfr1rCe/3682bdpo7dq19SY63Nl68ng8uu222/TDDz8oHA6rsLBQ//rXv7Rp0yZJ0sCBA5N1ly9frjVr1uiQQw6pd73Ut62//vrrkpRMBFfT0UcfLcMwatVftmyZtm3bplatWskwjOTn9ttvlySdc845MgxDkyZNatByAQAAAAAAAAAAAAAAAICGIPEbAAAAAAAAAAAAAAAAgP9pBx98sCTpnXfe2cuR7FokEpEkbdu2rd7hW7dulWQn2Nodj8ejww47TJL03Xff1RleXZaXl9eYUBvF6/Xq4IMP1g8//KD169fXGf7OO+/I4/HokEMOqXf8r7/+Wp9++ql69+6twYMHN2iae5oo7vnnn1c4HNZ5550nn89Xb50hQ4Yk4/2p6rLqOg1RneTs17KeJDv+iooKLVq0qM6wt99+O1mnIV544QVJ0ujRo5Nl1dt69Tb9U/Vt67saZ9u2bbIsq1b90aNHa9y4cXU+/fr1k2Qnixs3bpwOOOCABs0HAAAAAAAAAAAAAAAAADQEid8AAAAAAAAAAAAAAAAA/E/74x//KIfDoVtvvbVOwjHLsrR58+a9FFlt2dnZ2n///bVhwwY9/fTTtYYFAgHdd999kuyEVTWtXr1ay5cvVzQarVV+2WWXSZLGjx+vcDicLF++fLkmT56stLQ0HX/88c0xKzv1+9//XpL0l7/8RZZlJcufe+45ff/99xo1apTS09PrHbc6idu4ceMaNK1ly5bp888/V9++fTVw4MAGjdOQafzud79Tly5dNG3aNC1btixZXlZWpjvvvFNOp1Njxoxp0PQke/uUpAkTJqikpCRZvmXLFj300EMyTVNnnHFGg9trCtXr6dZbb00mXJOk999/X2+//baOOuoode/evdY4gUCgTjuvvPKKnn32WQ0aNEinn356svyAAw5QRkaGFi1aVCeBXn5+vh577DFJ0tChQ5Plhx9+uCTp9ttvVzweT5YnEgn97W9/k1R735gwYYKefvrpOp9TTjklOY9PP/20jj322IYvGAAAAAAAAAAAAAAAAADYDefeDgAAAAAAAAAAAAAAAAAA9qY+ffpo0qRJuuqqq9S7d2+ddtpp6tSpk7Zs2aIPP/xQJ510kiZNmtQs0549e7Zmz54tSVq7dm2ybN26dZKkI444Qpdcckmy/qRJkzRixAhdeumlmj59uvr376+SkhL95z//UUFBgU4++WSddNJJtabxu9/9TuvXr9fatWuVl5eXLB89erRmzZqlV155RQceeKCGDx+u0tJSzZw5U6FQSP/+97+VlZVVq63rr79e27ZtkyR9/fXXybLU1FRJdsK2Hj16NHr+LrzwQs2YMUMvvvii1q5dq6FDh2rNmjWaOXOmOnTooHvvvbfe5RiJRPT888/L7Xbrggsu2OUyr1adxK3m9Hdl6dKl+vLLL9W/f3/169dvp/WcTqeefvppDR8+XEceeaTOOeccpaena9asWVq7dq3uuuuuOknRduWwww7TtddeqwceeEB9+/bViBEjFI1G9dprr6mwsFD33HNPnfYmTJig5cuXS5I+/vjjZNnkyZOT83zEEUck6y9cuDCZTHDr1q3JsuoEdT169NBf/vKXZP2jjz5al1xyiZ5++mn169dPJ510kgoKCjRjxgylp6fr8ccfrzMfhxxyiDp06KCePXvK6/Xqk08+0fz589WlSxe9/PLLcjgcyboej0cTJ07UJZdcohNOOEEnnXSSevbsqYKCAr366qsKBAK6/PLL1adPn+Q4t9xyi+bMmaN///vfWrp0qY455hgZhqF58+bp66+/Vl5enm688cYGL3cAAAAAAAAAAAAAAAAAaA4kfgMAAAAAAAAAAAAAAADwP++KK67QAQccoIkTJ+rNN99UeXm5WrdurUMOOURnn312s0132bJlmjJlSq2yL7/8Ul9++WXye83EZMcff7wWL16s++67TwsWLNCHH34oj8ejXr166aabbtLll18uwzAaNG3DMDR9+nQddthheuaZZ/Svf/1LHo9Hhx12mG6++WYNGTKkzjivvPKK1q9fX6ts5syZyb/HjBlTK/Hbns6fw+HQa6+9pnvvvVdTp07Vgw8+qKysLI0ZM0Z33XWXcnNz652X2bNna/v27Tr77LPVsmXL3c57KBTSCy+8II/Ho/PPP3+39aU9SxR39NFHa+HChbrtttv00ksvKRKJqHfv3rrzzjt13nnnNWh6NU2cOFF9+vTRo48+qsmTJ8swDPXr109PPPGERo4cWaf+W2+9pQ8++KBW2dtvv538e+jQobUSv61atarOelq9erVWr14tSRoyZEitxG+S9K9//Ut9+/bVv/71Lz388MNKTU3ViBEjdPfdd9eb2G7UqFGaNWuWFi9erGg0qs6dO+vWW2/VDTfcoPT09Dr1x40bp7y8PE2aNEmLFy/WG2+8Ib/frwMPPFCXXHKJLrzwwlr1O3TooM8//1z33HOP3nzzTf3rX/+SYRjq1KmTrr32Wt18883Kzs7e2SIGAAAAAAAAAAAAAAAAgF+EYVmWtbeDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIB9mbm3AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAfR2J3wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgmZH4DQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACaGYnfAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKCZkfgNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJqZc28H0FwSiYTy8/OVlpYmwzD2djgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9jGWZamsrExt27aVaZq7rLvPJn7Lz89Xhw4d9nYYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZxGzduVPv27XdZZ59N/JaWlibJXgjp6el7ORoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+5pAIKAOHTokc5/tyj6b+M0wDElSeno6id8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANJvq3Ge7Yv4CcQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADA/zQSvwEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAMyPxGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0MxK/AQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAzI/EbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQzEr8BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQDMj8RsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANDMSvwEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAMyPxGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0MxK/AQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAzI/EbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQzEr/tQ/r06SPDMOTz+RQIBJqs3fHjx2v8+PFN1h4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwv8awLMva20E0h0AgoIyMDJWWlio9PX1vh9Psli1bpn79+iW/P/PMMxo7dmyTtG0YhiRpH91UAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgEbZk5xn5i8UE5rZ1KlTJUmZmZm1vgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADY+0j8tg+Ix+OaPn26JOmf//ynHA6HPvjgA23YsGEvRwYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAIvHbPuG9997T5s2blZubq9GjR+uYY46RZVl64YUX6q1fUVGhO+64Q3379pXf75fX61WHDh00dOhQTZgwQdFoVJI0fvx4GYaRHM8wjFqfdevWSZImT54swzA0ZswYVVRU6Oabb1b37t3l9Xo1dOjQ5PiWZen555/XkCFDlJmZKZ/Ppx49eujGG29UUVFRsy0fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYG8j8ds+4N///rckadSoUXI4HDrvvPMkSVOnTq1TNxaL6dhjj9Vtt92mb7/9Vh06dFCfPn2USCS0YMEC3XTTTaqoqJAkdezYUYcffnhy3MMPP7zWx+v11mo7GAzqqKOO0oQJE+R0OtWrVy95PB5JdtK3888/XxdccIE+/PBDZWdnq1evXlq7dq3uu+8+9e/fX2vWrGmW5QMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADsbYZlWdbeDqKmuXPn6vnnn9dHH32kjRs3KjMzUwMHDtTf/vY3DRgwoMHtBAIBZWRkqLS0VOnp6c0Y8d5VXl6unJwcVVZW6pNPPtGgQYNUVlamnJwcBYNBffbZZ7WW28yZM3XmmWfqwAMP1H//+1+1b98+OWzr1q2aNm2aLr30UqWkpCTLDcOQZCdvq8/kyZN18cUXy+FwaL/99tPs2bPVs2dPSVIoFJLX69U///lPXXnllUpLS9PMmTM1bNgwSdKWLVt05plnatGiRTrkkEO0ePHiJl9GAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQHPYk5xn5i8UU4M9/vjjWrduna6++mq98cYbeuihh1RYWKjBgwdr7ty5ezu8X52ZM2eqsrJSXbt21aBBgyRJaWlpOvnkkyVJU6dOrVV/5cqVkqSxY8fWSvomSa1atdLVV19dK+nbnojH45o+fXoy6Zskeb1eWZal++67T5J0xx13JJO+SVJubq5mzJght9utJUuWsI4BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwT/rVJX579NFHNXfuXF122WUaMmSIzjzzTL377rvKzs7WPffcs7fD+9WpTux27rnn1io/77zzJEnTp09XLBZLlnfo0EGS9Prrr6uysrJJY+ndu7f69+9fp/z777/Xxo0b5fV6demll9YZ3q5dO51xxhmSpHfeeadJYwIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB+DX51id9at25dpyw1NVW9evXSxo0b90JEv16bNm3SvHnzJNVN/HbCCScoKytLhYWFtZKpnXbaacrLy9M777yjtm3bavTo0Xr00Uf17bff/ux4evbsWW/5ihUrJEkdO3aU3++vt07v3r1r1QUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD2Jb+6xG/1KS0t1eeff55MDlafcDisQCBQ67Ove+GFF5RIJNS/f3/tv//+tYa53W6dddZZkqSpU6cmy/1+vxYsWKCLL75YiURCM2bM0BVXXKEDDjhAvXv31n//+99Gx7OzpG7l5eWS6k/qVy0nJ0eSVFZW1ujpAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAL9Wv4nEb5dffrkqKip0yy237LTO3//+d2VkZCQ/HTp0+AUj3DuqE7p9/vnnMgyjzufJJ5+UJL322mu1EuG1b99ezz77rIqKirR48WJNmDBBAwcO1HfffafTTjtNS5YsadI4U1NTJUmFhYU7rVNQUCBJSktLa9JpAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAL8Gv/rEb3/961/1wgsv6MEHH9SAAQN2Wu+mm25SaWlp8rNx48ZfMMpf3hdffKFvvvlGhmEoJydnpx+3261gMKiZM2fWacPpdOqQQw7RjTfeqE8//VSjR49WPB7Xs88+26Sxdu/eXZK0YcMGlZeX11vn22+/rVUXAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2Jc0S+K3cDisWCz2s9u5/fbbddddd+nuu+/WFVdcscu6Ho9H6enptT77sqlTp0qSjjrqKG3ZsmWnn+uuu65W/V0ZPHiwJCk/P79Wuc/nkyQFg8FGxdqzZ0917NhRoVBITz/9dJ3h+fn5ycR0w4cPb9Q0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgF+zRid+W7hwoe644w6VlJQky7Zv364TTjhBqampSk9P1y233NLowG6//XaNHz9e48eP180339zodvZF8Xhc06dPlyRdcMEFu6x7/vnnS5Lmz5+vjRs36sEHH9SkSZNUUFBQq96GDRuSSdn69+9fa1iXLl0kSR988EGj4jUMQzfccIMk6bbbbtP777+fHFZQUKDRo0crEolo8ODBOvrooxs1DQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAODXrNGJ3yZOnKgpU6YoMzMzWXbdddfp7bffVpcuXZSZmakJEybolVde2eO277zzTo0fP1633nqrbrvttsaGuM969913tWXLFnm9Xp155pm7rNurVy/169dPlmXphRde0Pr16/WnP/1Jubm56ty5sw455BD17NlTXbp00TfffKMDDjhA1157ba02Ro0aJUk6+eST1b9/fw0dOlRDhw7Vli1bGhzz5ZdfrnPPPVeBQEDHHnusunXrpgEDBqhjx45asGCBOnbsqBdeeGHPFwYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwG+Bs7IjLli3TkCFDkt8rKyv10ksv6bjjjtNbb72lsrIy9e3bV4899thuk5PVNHHiRP3tb3/T8ccfr5NOOkmLFy+uNXzw4MGNDXmfMXXqVEnSiBEjlJGRsdv6559/vr744gtNnTpVM2fOVFZWlubOnavVq1dr2bJlysrK0qBBg3Teeedp3Lhx8vl8tcb/y1/+ong8rhdffFHfffedwuGwJCkUCjU4ZsMw9Pzzz+v444/XU089pS+//FIbN25Up06ddNppp+nGG29Udnb2HiwFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4LfDsCzLasyIfr9f11xzje6++25J0vvvv69hw4Zp+vTpGjVqlCTpyiuv1MyZM5Wfn9/gdocOHaoPPvhgp8MbGm4gEFBGRoZKS0uVnp7e4OkDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQEPsSc4zZ2Mn4vV6VVZWlvz+wQcfyDAMDRkyJFmWmpqq4uLiPWp3/vz5jQ0JAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH6VGp34rWvXrnrrrbcUDodlmqZmzJihXr16KTc3N1lnw4YNat26dZMECgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC/VWZjR7z00ku1atUqdevWTT179tSqVas0ZsyYWnWWLFmiXr16/dwYAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOA3rdGJ38aNG6cbbrhBlZWVKikp0R/+8Addc801yeHz5s3TmjVr9Lvf/a4p4gQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACA3yzDsiyrORqORCIKBoPy+/1yOp3NMYldCgQCysjIUGlpqdLT03/x6QMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADYt+1JzrNmy8jmdrvldrubq3kAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+M0wf24Dr776qs4++2z17dtXXbt2TZYvX75c9913nzZt2vRzJwEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv2nOxo6YSCR0zjnn6JVXXpEk+Xw+BYPB5PCsrCzdcsstisfjuummm35+pAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwG2U2dsQHH3xQL7/8sv7whz+ouLhY119/fa3hOTk5OvLII/X666//7CABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4Les0YnfJk+erIEDB+qxxx5Tenq6DMOoU6dr165au3btzwoQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH7rGp34bdWqVTrqqKN2WSc7O1vbt29v7CQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYJ/Q6MRvPp9PgUBgl3XWr1+vzMzMxk4CAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPYJjU781q9fP7399tsKh8P1Di8qKtJbb72lwYMHNzo4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANgXNDrx21VXXaWNGzfqzDPP1KZNm2oNW716tUaOHKnS0lJdddVVPztIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPgtczZ2xFNPPVV/+ctfNGHCBHXs2FF+v1+S1Lp1a23fvl2WZemvf/2rjjnmmCYLFgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB+i8yfM/I999yjt99+WyeffLJSUlLkcDiUSCR0/PHH680339Ttt9/eVHECAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwG+Ws7EjbtiwQW63W8OGDdOwYcOaMiYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2KeYjR2xc+fOuuWWW5oyFgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADYJzU68VuLFi3UokWLpowFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZJjU78duSRR2rx4sVNGQsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7JManfjt73//u7755hvdfvvtisViTRkTAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOxTDMuyrMaMOHbsWK1cuVIfffSRcnNzdeCBByonJ0eGYdSegGHomWeeaZJg90QgEFBGRoZKS0uVnp7+i08fAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwL5tT3KeNTrxm2maDapnGIbi8XhjJvGzkPgNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQHPak5xnzsZOZO3atY0dFQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD+pzQ68VunTp2aMg4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2GeZezsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANjX/ezEb9OmTdNxxx2n1q1by+PxqFWrVjruuOM0bdq0pogPAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH7zDMuyrMaMmEgkNGrUKM2aNUuWZcnn86l169YqLCxUMBiUYRg67bTT9PLLL8s0f3Z+uT0WCASUkZGh0tJSpaen/+LTBwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALBv25OcZ43OyPbII49o5syZOuqoo/Txxx+roqJCa9euVUVFhRYvXqwhQ4Zo9uzZeuSRRxo7CQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADYJxiWZVmNGbFfv34KhUL6+uuv5XQ66wyPxWLq27ev3G63li1b9nPj3GN7kv0OAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPbUnuQ8Mxs7kR9++EEjRoyoN+mbJDmdTp188slasWJFYycBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPuERid+c7vdqqio2GWdiooKud3uxk4CAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPYJjU781q9fP7300kvKz8+vd/jmzZv10ksvqX///o0ODgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD2BY1O/Hbddddp+/btGjhwoCZOnKjPPvtMGzdu1Geffab7779fAwYMUFFRka699tqmjBcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAfnMMy7Ksxo780EMP6YYbblA8Hq9VblmWnE6n7r33Xv3pT3/62UE2RiAQUEZGhkpLS5Wenr5XYgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACw79qTnGc/K/GbJK1du1bPP/+8li1bpkAgoPT0dPXr10/nnnuuunTp8nOa/llI/AYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgOf2iid9+rUj8BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKA57UnOM/MXigkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/mc1OvHbAw88oJYtWyo/P7/e4fn5+WrVqpUefvjhRgcHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPuCRid+e/nll9W3b1+1bdu23uFt27bVQQcdpBdffLHRwQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAvqDRid9WrFihAw44YJd1evfurZUrVzZ2EgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwT2h04rfKykr5/f5d1vF6vSovL9/jtsvLy3XNNdeobdu28nq9Ouigg/Tiiy82NlQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2KucjR2xU6dO+uijj3ZZ5+OPP1b79u33uO3TTz9dn376qSZMmKDu3btr2rRpOuecc5RIJHTuuec2NmQAAAAAAAAAaDJlZdKyZdLWrVIgIEWjUkqKlJsrHXSQlJ29tyMEAAAAAAAAAAAAAAAAAAAAAAAAAAC/Jo1O/HbyySfrwQcf1LPPPquxY8fWGf70009r4cKFuvrqq/eo3TfeeEPvvvtuMtmbJB199NFav369brjhBo0aNUoOh6OxYQMAAAAAAAD4XxUNSIEfpEiJFK+UrITk8EmeFlLa/pI7Q8uXS4sWSd9+K23bJvl8ktMpGYYUj0vHHit16SJddpn0ySfSfvtJF1wgdesmZWVJ5eV2eSQinXDC3p5hAAAAAAAAAAAAAAAAAAAAAAAAAADwa2JYlmU1ZsStW7eqX79+2rx5s4YMGaJhw4apXbt22rRpk9555x19+OGHatu2rT7//HO1atWqwe1eeumlevHFF1VcXCync0deuunTp+vcc8/VokWLdNhhh+22nUAgoIyMDJWWlio9Pb0xs4hfsXBY2rRJKiiQKivtH9LG45LLJfn99g9tc3Iky5LKyqStW6VQyK5nWTvqtW0reb17e24A7IssS4rF7OOOYUgej0TeUgD4DUtEpUTE/tcwJdMjmW77IC+7r7lli50cprrfKUlut5SaKvXoQb/zF5OIS+FtUjxorzNJMl2SI0XytFBF0KX33pO++UbavFlq317KzJRM064ai0m9e9vXFP/9r/T99/Y1RdeuUlqafT6vPs8feaR00EH2eJZlafm25YpbcUlStxbd5HF6fvHZR9OyLKmkRAoGpWjUvu50OqWUFHu7qb5tEY/b9cLh2tedKSlSRgb9wF+EZUmRYim0WYpVSPGwJEsynJLTL6V0sBN74X/X9k+kTy6VSr6SuoyT2p0ieVpK8ZCdAC60Rco4QH9/arBuvtke5cYbpZtusvfjavG4FAhIRx1ln0skaflyaf/9dz35Gd/M0E3v36QOGR20umi1zjngHN39u7vldrjtCkVfSJvfkirWSN42kreVvf3KkKy45M6U8s5r6qUCAACAfUUiavd1K9bb10amWzKqLkathN33bXu8tmyxkxxv2GAnLG7d2r5+NQz7sioalS6+WHJ7jN1P07KqbpKUScEtdr86UXVRbLqqrsXa2/9WicQjisTt+zUeh0cuh6s5lgYAAAAAAAAAAAAAAAAAAAAA/OL2JOeZc5dDd6FVq1aaN2+ezj//fM2fP1/z58+XYRiqziN38MEH6/nnn9+jpG+S9M0336hnz561kr5JUt++fZPD60v8Fg6HFQ6Hk98DgcCezlLTsayqxBAhKRGTlKgaYNov2Dt8UvWPOvdAJB5RwrLbcpkuOcwdvxz/9FPpu++koiKpe3epVSv7JX3T3PHOfceOUna2FEvE9MmmT/R1wdfqmNFRG0o3qEfLHjq0w6E7fmza1GKVUrTUTr5gWfZyqEqSIcuSPNn2j1tXPSFVbpL2v8b+IUC0VAp8b/9AIR6WOpyp6x84Xo88Yv+Y/h//kM4+W8rKsuc3GrV/fGsY0kUXSbNn20kann5aGjTIrudw2OOWltqJG/bJBByWJcmSZCSXs2VJH30krVxpz3uPHlKLFvZyq5ZISG3aSA89JH39tZ3M4sIL7e3J6dyxPcXj0mGH2UkMGhZPouqH90H7x8pVyTCS+4QrXXL6mnAB7DnLslQWKUt+T3WnyjTMPWxDKi6Wtm+3ExKapuTz2avAqPH7mC5dGthg0VJp89tSqEBqPdT+0Xc8LAU3Va3jhJR9sJTRu8Ex/hj4UZOXTdaCDQt0SvdT9PGPH8vj8Ghc/3E6tP2hMowG/JBnb7MS9rYUD1dtT1XHWMOo+iFRmmQ24PRmWdKyP0uF8+1tsMs4yZ0lla2UgpulyDZJhsLdxuv+x9rqu+/sRB5nnSW1bFl3n+jYUbr+evuH/2lp0lVX2fuT12uHVp0EqE8f6dVXpfXr7WPSIYfYCYGqk4FUJwkZOHBHqNsqt6kyWilJ8jq9apXSqs66Kigv0JJNS+QyXQrFQkp1p+rQDocq1Z3685c5di9SLH15s1T6nb1Pthlu/5it6HP7R2+xSnv76ni2tOpxqXy1lD1YyupvH/+2f2L3GayYlNJRpdkXadkyO8GpwyF16FD7eGJZdjLBbdukN96wk6H27i317Wsfm6vrJRL29rq7JBS/BcXF0ldf2clcnU47eWv1MpHsZeL378ExtuQbqfQb+/yU1s0+dlgxuw8n2ceXrP5S6ddS2Qr7e1o3yeGXEmG7rpWQZEgtB9vHn90oKJDuv19ascLe70eOtI8Dpln7ePK7weulH2dLlRulzL6SP89O+lGxrmqalpTaWco80I4tXCQ5UyRXRlUfy7TrWJbkayu57UwlNY8T4XhYae40DW4/WH73jh9eWpalrwu/1iebPlGOP0eFFYXKSc3R0LyhjT6eWJa9LVZ/JHt+nc7a58cmsW2xlP9f+9yZO1zytrbPGRXrq5ZdQso+VKpYa/c9Y+VS+9Ptvmh4a1U9y17f7UdKq5+U8l+3k7z1utFenhXrpIoNUvkaKV6pSK97NWxkFy1caO9/06fb+2Jqqj2f4bC9/W7dKt1xh91nd7mkSy6x90+HY8d+nUhIxxxjDy8OFuv9te+rKFik1v7W2ly2WYd3PFx9Wvf5bZyv94aNs6RlN9oJc/o9aO+bVkIq+tRet8HNUuujdMdTf9B999mjTJwoXX65fUytlkjY5+0LLpBmzbLLZs+Wjj++dr1o1P5YlqU5P8zR+A/Gq7CiUJcPulwvfvOiSkIluuXIW3Rxv4vlliXlv2FvN640Kb2HnYguUlR1PLHs/bjVUZJJhrBGaeh+8dPc9zVPJDVMmCA99ZT9Q/gbbrDXf3Wit2jULs/JkSZNkubMsRM/PvCA1L+/lJ5u7//V16ddu4TVdsu1dr/A31HqcJbd/yz9Rgpvl6Il9vbQ+1ZZrgxVVOxIcJ5I1A7T5bKnW/09FrM/1cdYw7CnXX0/YNs2+xhUWWlvvx5P7Vn2eqV27fZ0Yf8KFX4oLRplJ+7qc4fUcZTk9UmFH0iV66Wy1fayb3uytHGmFMy3+2u+tvZ5vWyV3Y4Vk7IP0ZebBuuTT+xjd16e/am57BIJOzmC0ymtXm0n/UtL23GNXX1ctywpN9cuxw6WZd/HWrvWvmfTpcuO/avmObFbN7t/12SC+XY/XJIyDrD7WaZT+vFVae0U+xq85eHaf/+Fys62r+2//Vb65BNpv/3s83wkYvfpTNPe/8eOtY8HF14ojRtnJwn1+6WKCmndOvt7/8HluvLNKzV52WTlZebpvD7n6dXlr+r+j+/XvHXzNP2M6eqW3kaaf7wULrSPEQfdb/fh8t+QSr+1/5Wk9J72fYLy1XbftPp6ovTbquuJuN2v6XROVZ9w11atkt57T8rPt48tvXvXvp6wLLtP07NnE66H34Ka93Zr3neQYW8zjpSG3XfAr0d4u1TwvlT5o+RrZ58TTI9dLstex742UtaBezvSX7+d9J0aWm/aNGnBAvtYeuKJUqdO9jm2OglzImEfc3Nz7T5MRYV9TVV9H+6n51hfA24pB4PSkiX2sS4et887qam179laln0dty8IBu0+TGWlPb9e747lW73s3G5pxgz7XJyWZiczTU+vfX/SNO1ltXixvb58Pvt79Xmimtdrn++2bbP7RKGQvU6r+0TV7aWm2uea/1XVy96ydvTZ8b8hHAsrWnW/0e1wN99z2HhI+u/+UuUGKXeYdPgM+3504QL7XkTRp1I8qE0VfdT9oHaqrLSfJ8+dW/eaMBqtSnJe8xhec8evWf7jbOnTy+xrsQEPSznHSg6vtPUj+/5MxUapRX9p/6u1sXSjHvj4AU3+crLO7HmmikPFWrBhga4YdIUuP/hytfC10Ny59jG7sFAaMMB+7lLzWqz6Wcw+cR27NyWiVf9hQnTH/WYZVe8xeGol6vs1Coft+zDl5fY1WkpK7XvNlmU/267znszOtumGsqyq55OhGs8Haiw7p19ypiQTKIZC9r+JxI7jv8Nhb9NNeq37P676/CrVfSb/i4uHpMByKVRoJ990t7CfHdV8ZuNpaT/zb2LhsN13DoVqb3OWZW93WVkN6zv/JtR8V0CJGu8KOOxnaa60HfdErETVsS6uHfuradervq63rKrng5Gf7NemZLjsd7ushBQN7Dh2VtexJ2zv//yHEwAAAM2q+j/nq3kN0GzvHgH7iEg8om8Lv1VFtEKGDHmdXh3Q+gD+E0sAAAAAAPCLqr6n99P3J/bovl7xMinwg/3bj9T9JGdq1XPeGjk8MvtLRZ/YvxmUKaXtZ+fziId2PAs23VJWf1mGQxUV9vuW4fDuf7cDYId4vPZ7UTV/L+x22+8LAwD2jGFZu/uFzu599tln+uSTT1RSUqLMzEwdfPDBGlgzY80e6N69u7p06aK33nqrVvnmzZvVtm1b3XPPPbrpppvqjDd+/HjdfvvtdcovPutIuV1OVUZdiicMOcyETMOSx5GQJWlbpU9BxRVxRRQzY5IkZ9ypqDMqwzLkirvkjrnlSDgUdUQVdUYVM2MyLEPOhFNRR1SmZcoZd8odcyvbE9OBOVuV4Q0rvyxVBeUpiluG0twRpXmiSnHFVBLyaFVRhrJ9IXmccZVHXArHHDIMSy4zIbfDjjEQdqsw4lC5r1wVngoljIRSIimKmTFFnBG54i6lhlLlD/tVXtpZZWUdFI2myufbJo+nRIZRldxChizLkNdXqEhGvralb5OZMOUP++WNehV2hlXhrVDMjCm7PFsZlXZykISRSC5HQ4YsWcm/DcuQodo91jn/+U/y71NGjEj+3TKlUn1ztsvvimpdSboKK3wyDSnDG1a6JyK3I66SkEcrt2eqW3aJWvuDchiWikMexRJ27O3Ty2UYltYUZ+ibgtYKBPJUWZmrcDhDTmdIDkfVS52SJFNpaRvk821Vael+CgazFY2myu0uk2lGq5aLoUTCVGbWD/KkbFXMEVPciEuG5Eg4FDfjkiU5LIeccaccliG/Ky6XI6F4QoomHEpYktO0ZMiSaVhKWIYSlqH9WpQqwxNRWcSlkpBHCctQqjsqjyMutyOuQNit74oyVO4tV7m3XDEzJm/UK9MyFXQHZSZMpYZTlRpKVZppKd0TkcuRUEXEpWjClCFLLocllxmXYUhlYbda+SvVKaNMXmdcPwb8CsZccplxeZxxZXnDsmTo28IWWr25jyoq2ioaTVFKSoHc7rIa24kpyzLk929WJJKhQKCjIpF0ORxheTwBGcaOl2Ety1Rm1neKe8sUcocUdezYX8KusMyEKU/MI2/Eq1buhA7KLVSaO6pNZX4VlPsVS5jK8IaV6o4oxRVTecSt77a2kN8VlcNMKBxzKG7ZL+M6DEtOM2EnzorZvzxLc0fkNBOqjNa/TAJht8pipiLOiGKOmCzDkjPuVNyMy5IlR8IhV9wlZ9ypsCussqr5MC1TKeEUBd3B5HpJC6UpNepRz5Ylyk4JKRo3VVjhUyTukN8dldsRl98VUzhu6tMNeSrY2j+53DIyVldtm7UPs35/gRJGQgkjIUuWvS9ZkmVYyf3LtExleCLqnl2iFr6QSkNuBcL2w3anmVCHjDK5zITWlaRr6dYsBd1BhV1hxc243FG34mZccTMuZ9wpX8QnT9SjspQyFaYXyh1zKzWUmtyHI86IAr6A0oJpyiltLY9hyGla9u8XLEP2S8v2PJiGJFmKxh2ytPurVqeZUIYnLLcjrmjCVDjmVMKSXI6EHIYlh2kpGje1PeRW2BVWyBVS3GHHbViGos6ozIQpb9QrT9SjjqlB9WpVJJ8rplVFGSoJeWQalvyuqLJ8YbnMhH4MpGpFIEWVnkqF3CHFzbi8Ea+ijqjiZlyuuMs+/kW8yvZG1LVFiVr4wgrGnCqPuJSwDJlGQp0yyhSKOfVpfmutK+ymsrKOikTS5HRWyuMJSIrLMKr3CYcyMn5QJJKlsrKOCoczZJpxud2Bqn3MZlmmsrO/UmlpVwWDrRWPu+TzbZPTGUzWsyxDphlXatZylfnKFPDZiUz9Yb8My1CFt0KWYSktmKb0YLriZlzbU7er0lOplHCKUkOpSpgJlXvLFXQFlVmZqayKLDkTzjrbYl0NO66bhqXu2cXK9oUUS5jaWulVNO5QiisqjzMhnzOqSNyhrwtbKpYwd9teNOpTINBZkUi6TDMmr3ebHI5I9VKTZC+T9tnr1LVFqdLcERVWpKgs4pJpWPI5Y0p1R+UwLeWXpWptSVpyH5MhGVbVOazqb9MyZVqmYoZ9Po05Y0ooIVfcZR8nDPs44Y655Y47tX92iXJS7cR7W8r9Cscc8rli8jjiSnVHFUuY+qogW638QXXMKJPfFVVxyKtQzCHLMpTqjignNahQzKH5a9upU2aZ2qRVymkmtL3Sq2jCVMIy1DIlqBa+sAJht974vo9KSrorHM6U0xlSSsrmqmViyTAsWZYp04zI7S5TaWlXhUItZFmGfL7qZVeVkEyG3O6AfGkbksfEhFE1r0ZcCTORnFdnzFV1XKi539e/zUSdEYVdYUUcEVmGJXfMrYgzkjwXeKNe+RJOtUsvV6o7qmjcVCDsVtwy5HHY51O3I6Fo3NSmgF8t/SF5nTGFY04Fq44THkdCDjMhp5lQOObUum3tVVLSXZFIhlyucqWkFMg0I1X7ob3vOBxh+f0Fu9nObXmZAXXMCMjrjGtTIFWVUad8rphSXDF1zChTwjK0bEu2PA5LbdPKZRjS5rIUhWJOpbqj8rujap9erkjcocUbc+R1xZXuiSieMFQa9igaN+V12vPqccQUS5haU5ypopIuqqhoq0gkVW53QG53RdX6ql7WDrXP/Vw9WhapZUpIoZhD2yu9SlimPM64WqVUKs0TVVHQoxXbs9Q9u0Rp7ojWFKerPOKWy5FQC19I2b6gXI6E8stS9fHWjDrHibgZV7m3XGFXWBmVGcoqz1LEFdHW9K2Km3H5w375wj7FHDFVeCoUcoeUVZ6lrIosxcyYgp6gIs6IEkYi2Z+UJHfMLV/EJ1ckRUXbD1AwmKN43KW0tI1yucplVvW3LcuhRMIpv3+TgsHWikTsOzoeT4kcjuofzez44Yw3pUARV0Qhp31cdyQcMi1TUWc0uQ17oh5luuLqnl2sFr6QKqJ2X8yy7ONWx4xyuRxxrS9J1/rSNHVrUaIsX1hlYZcCYbcsGbIsqVt2iRKWoe+3tlBhRYq6ZRcr2xdW3DIUCLuVsA8n6lh1nvh8cyv9WNJSpaX7KRTKVjTqr+pjxWqcJ0y1bPmVIpHUqvNJhhyOSI3zRHU9Q1mtvlBJ+lYV+4uVEkmRP+SXI+FQ0BNUuadczoRTrQKt1MZwaL8WJcrwRLQ96K3qJ1hKqdqOXWZCWyt9+iY/T+Xl7RWN+uVyBeXxFMsw7PVQ/cMvpzMoSQqFshWPe+VyVcjprKyqt+PHS05nudpkFCvdE0ler8QSppxmQg4jIZ8rroRlKL/MJ4chuR0JJSwplnAobtn9OrPqY8lQOOZQa39Q/qrjREXUpVjCPk44TSvZf9hQmqafnqPqYxoJdckKqG1ahfyuqEqr4ktYhlqlBGUaljaVpWrZllYKBluqrKyjgsFWisU8cjhqH08yMlYrK2ulKipyVV7eXsFgS8XjbplmLFlPspTd8itVtvtCJSkl8of8Sg3tuDsZdoVV4i9RSjhFHYrbqndL+3xiWdKW8pSq/mRMae6IclIrFYmben9NR1VGXarZ/6rLkgzL7ksalt2HtKqSPRuW/Syi6lwXN+MqSi1SwBeQN+pVatCOr9xXrpArpPRgulqUt6jqJ+xQfc6ueb6WpN6ttqttWrkkQ6uKMhSOO5Tqtq9z26RWKJYw9HVhS20p99dp66ftmUZC+2cXq4UvrGjC1LZKn6Jxs05/4suClkpYu+9PNLV43K3S0s4KBlsrGk2Vy1UmhyNcYztxyO//UV5vUXL/j8VS5HaXVm0niWS9jIxVymu5QV2yAkr32Of6YMylhCV5nXG1Tauo6ifkac3GQxUOt5BhxJWZubLGNZu9bSYSLrndARUV9VYw2FKmGVVa2ga5XBU16pmyLFNOZ1BFRT0Vjfrl8RQrLW1j1XG4etsyZJoR+XxFyev9+lRfN8RiHsViPiUSTjkckTr7g91eVAlnSGFnWFFHVJZhyRV3KeawjzuOuEOemEeumFvxuFeJhEOSWRVXvEZ79jSNGuf6XTEktUsrV8eMcmV6w6qIOhWN2/t/hte+77Ct0qevC1pq/5Z2PzYYc6g4aF+zG4bUIb1MHmdcPwZStXB1bwUC+ykcTpfLVSmvd7tMs/r8JEmm3O4ShcNZqqhop2g0RWlpG5PH/5r1PJ4iDeywTjn+oKIJQxtL0xSJO5TlCynNHVVOaqViCUMfb8xV9+xSZXrDKg27tbY4Q7GEqUxvWD5XVBmeiGIJU8u2tNT+LUuU7QsqGHNqa0WKolX1qj+VUafeWd1JnTNL1S69QimuqEpDnmS/M9sXlM8VV0G5Tyu2Z2n/lsXK9Ia1tcKnQNgt07DPJ23TKuRyJLSuJE0LVvZTWVmeIpF0eb3b5PUWJc/r1dunx1OqAR1WqW1ahSxJa4rTFYk7lFbVd2qbVq5YwtTn+a317YaBqqzMUTzuVWrqphrb8I5zos+3RdFopqLRFFmWQ253oFb/T1Xnbq+3uEHbiSR5HDF1yQqofXp51fHGTkwfiTtUFnbpx0CqftjeQomEQ+Xl7VRW1kmRSLricY8SCZdMMyqXq1yZmauUkbFGliVVVuaqtHQ/RSLpVfuIq+peSrGyWnyrknZfqtxbrozKDGWXZydjqXRXakvmFjnjTnXa2klew1TXFiVqk1qhNE9E8YSpuGUkz51lYbc+3dRaHTLK1SatQk7T0tYKnyJxU4YhZXrDau0PKhxz6L8/9FBpaWeFw+kyjIR8vu0yzXDynphkyDDicrnKVVLSTaFQCxmGJZ+vUE5nqNZ6dTqDcjpDKitrX3U8LJfXW1K1T+zgdFbK6y1Oft/Z8dp+cO9WIuGsuq6pPmbWSK4myagqtwxrxz1Jy7DPdVV/GzLkMuPqklWmdE9EwahDpWGP4gnD7g85EvI44grFHFq+PUsJI5G8N1R9/yVhJpLXiY6EQ7n+oHq33q40d0RrSzJUFPTIkJTqjijdE5HHGdfmMr8KKlLUwheW00yoLOxSNOGQWXVv1+OMyZC0rdKr4spMxWIeWZZTphmWacZrnEvsOXY4orX2p50tO4eRUO/WRWqZElQkbmpLuV/RuKlUtx1XqjumcMyhz/JbJ++r7aq9Fr6g+uVuld8d1fqSdBVU2EkqMr0RpXki8lTdx/yysIWijqh97WzY15CSFDfjMhOmXHFX8hoz7Aor4ooobsTliXmS96cccYe8Ua/cMbdMNey8HgplKhbzybKcVceIaNULFDuOAQ5nuWLukEKukGKO2I77k86wTMuUK2Zfn6aZlnq1svv15RGntgd9iifsc0SWN6R0T0RlEbfeW9NRTSkYbKFQqKViMa9crnK5XJU1ronseXC5KuRyVe62LcuSwuEWisW8siyHnM7KqnvdO66dLEtyucsV8lSo3FuevE73xDwKuoNyJBzyRrzyh/wyw+kqr7rXZRgJeb1FVddiO/ZFw4grJWVrky+TQKCLwuFMGUasxvmker8wlZKyWeXleQoGWykedysra3nVtVPN+xSGPJ6SZP/IvidQ3Z9ILjVVPwcoLu6pUChbhpGQ37+56hqo9vkkLW1D1fHeWZWYq/qFoKrjTtX2Z1mGotE0JRIuGUZMDkdYplnz/p9kmvFax1Np533s+ur8tJ5lqeqeYwvF4x55vVvldIbqnP9croC2beurSCRDhmEpK+sHORzBn+ThM6r6sF2S52Kvd1vVdljjPzGSvaxKSrorFMqSwxFVSsqW5P1u+3rSkMMRkWWZKinpqljMfu6QkrJZpln9PMHmdNrPcMLhTMXjHjmdlVXzEK8xB4aczlDyGnWXy0SWyr3lKkotsp+dhVPkD/tV4alQpadSZsJUi/IWSgunNWgZN9bO1mtFRU5V/yDDvjfn25q8t1d9n8DlCsiVurnWvX1v1L6PXX3/rvrevgwpZsZqPeNIVG131c8onZap7JSQfM6YLCn5XNTliMthSC5HXPGEoS3lqQpH7G1YkhyOUK172NUMI6ZIJEPxuFdSQi5XMHk/IXm+NhJyuSoatEyMqu2mej+qPS37X8uSWvsr1coflNO0tL3Sq0jcIacZl8thPwewJK0vSZXHmZDfZcdTEXXWuD9h30+wZKiwwqegkVDYGU5ek7jiLkUdUcmy//bEPHIkHLJkJe8nS3X7HWbVuTXqiNrryEzITJgyLENxRzy5HlxxlxJGIvkMMG7ElRJJkSVLQXdQzoTTfrYb8sthOZLX9j+dZvW6re957M54nTF1zy5Ra3+lPI64KqKu5LPMVHdEFRGXFv+Yq0AoVSUl+ykUalX1LCNSY5+1p9W+/byqsl0zZKlTZkDt0iqU4Q2rPOJOXou18IVkGpY2l/u1YLtf+S3yZSZMZVVkJe9jJIyEitKKZCZMtS9qr3igfdWzggw5HMGq80TNfqcpj7dQXt92WVX3RqqXVXW/0ZAhM2FKlqnysjyFQplKJNzyerfJ6Qzrp89Ffb7CqnmtuZytOn8bhpTQjnsxtdaZJZmy11csmlJ1/vclrx929PWMqvNEVG5PQJasWnHXWraWIVOmgsEWVX0Aj9zu6nt2NdeX3Z+Qq8x+j8ERk6Wq56IOex1W3z/1ylT/NoVq7a9UecSldSXpyfvdKa6oMr32/e0vC1qqQ3qZMr0RBWMOFQW9iidM+aued3uccQWjDn2xqbOKi7tX3ceIyu8vkMMRUs1zrGlG5U/foJAzZPcTq55dSvb+5Ew45Yl65Il5lFBCYVdYYVdYCSMhd9ytuFH1vLO6XtSjom19VFnZRrGYV5mZq35yj9WersddogPbblJuaoUsGcovs5/tpLhi8jhjSvdEFI07tHRzS1XGnPWvV+3Y//2uiAa23aYMT1iFFT5tKktVJO5QpjcsvyuqVHdUwZhTC9f00PbtfRQOZ8jlKlN6+obkM0D7RWZHVd9rm+Jxb/J79X2RWtuAkajq39h2dQ4LhzMVqTq2u1wVVdd/lmr27RyOSkUi2VX1nPJ4SmWa1c+dqrZ2S1XlO2L5uefOSCS16v50qkwzKo+nuEY/tmZ/wqHS0i6KRNKqzp3ba+w79rnD7S5XLOZTINBJ0WiavN5ttZ4p2OcXU15vkTyekt3GVr0Pxo14cp2bllnr2GJaZvI5fvWzx/quJ82EqRbeiHq3KlK6J6LN5SkqDtr/A2Erf1BZVfd3SkJefbC+rWKOmKKmfe+s+hyTMBMyEvZ7SK64S5FwerL/53CEqq4BEjuit4yq6/UOKivLUyzmUXr6Ovl8W6uWcfUL9E65XGVVz6N2t17t61qzankkLKPqnQBLpqHkW0PhuKm4mUi+Z1N97I2bcRmWYb+PkXApFk5TINBFkUi6DCP2kz6RzTRjSvFvsZevmVBCCXuZVB13TdnL17RMdckMqHt2iZxmQquKMlQWcctpJpTiiqmFLySnaWl1UbpS3TF1zAjIaVpaV5Ku8ohLHmdcXmdM2b6QDEP6cktLdcwoU9u0CsUSptaVpCkYc8rvisnrjCnDG5ZlGfpyS7b65BQpyxdSScijtcXpCscdyvTa77qkuSOyZLfXJStQdT50qSTkVSxR+12h8ohb329rvgRxu9pfO2UE1NpfKYdpJd93qX5mm+qO6v/Zu+8wS6oCffzv7dyTmcAMA0POQUAUUUkqSQUVAypBMa3rqquuWUDAFVRcddFVv4b9iSugIiAGFMkoKJJzHOLA5Nw53t8f1XESM8P09ITPZ55+um7VqbrndvfcU6fqnPd2l5OH52/Rc39i1aoqurPN6KaMqmlPZ3dlz72iUmqrulJT2Z3qiq50dFfmyUVjsjr3dlZXa+sWaW6eko6O+lRVtfRcKxx4v6s0YCxHYVV9rP574kn/3+TAc4DiGmXvPYLu7srU1g6+Ptl7nOK9bflz6qHW3V3Zc429MkV/uHvAtZPe19aduur21FR2p5RyOnvGu1WUklLPdcckaemo6ruetOqRpKW0tW3Rc82mou+aTTL4vL64Vt6/14ttT7q7K3v67L1tZ1eSwa+3VOpOKooxEb3jIqq6q/rOuSu6i3P2yu7K4v2/57rVivpYlV2VqSxXpKrn55QU74m99+9Kfa+3nI6uqr6+bu/11P7z6/7fRVV1QzqrOop77D1tSO941IpyzzW2zuq+tqjvPHHAPcCBY8o6KjuyaNSiNNQ1pL69PqNbi3EyDXUNaatuy7jmcRnXOC5V5f57gKv7e1hf5bq6atLcPDkdHSNSKnX3je0ceF5XKnX1XAOqzLLjWAZfAypnXU6+Kqc4R+is7OwbR9Q79jCl9F0XreiuSGdl5/L9zp6xx1VdxXlsZXdluiq7+sau9f7+e69pVnVXDfr99/3d9p4nlLoHjXcaUdWZ8fXFeLymjuriPkGK8XjVFV2pKCUN7TWZ31ZZXHeoWfmYwvqO+qJNqOhORSnp7K5IV+/7RAa8T3RWpbWiM801zWmvbk855dR21qatqi2llPrGitR2Dg4TerF/J5Wl7tRVdaaqopzO7op0dhe/6Mqecbulnjp3l0t9Y09bO6vS1V1KRam4J11dWfyNtHRUZ1HjxLS2jl9mXERx/lu0JxWpqmpKdfULX59KyhlX1566qs6Uy0lrZ1U6u0uprix+blUVxXiJBc116eyqTbnn91m8Xw++1pkUE6Pa2yeks7Ou75pL/7WY/uesrW1Id/rHxRVD4kqDzml7+zXtle3pqCquNVV1FX2f3msave874+vaM66uLVUVxRiQjq6eaywV5dRVFWNGZjfWpbF7wHjc9N8D7u2D1nTVpLKrMu1V7WmpKcYUJUltZ21aq1v7rlXXt9enurO6/55NRfFe13uOnXIxbruyuzKdbWOzcOEeaW0dn4qKzowa9dygcZa97UJt7dIsXbptOjpGp7KyLXV1CwaMPez5W6psS7mcNDVt0zeup6Zm8aDrmL39jpraxemq6BrUhvS+L/f+P6wsV2SrUc0ZU1uMl1rSVpvO7opUVxTjXeqrO9NdLuWZxWOzcMk26egYk+7uip57bG2D2rBifP/8dFW2973vlMqlVJYrB81XqO6qzsjK7kwe1ZT6qs40dVSnuaN4ny/OOYvfW2N7dRraajK+Z45CQ1tN2roqeu5jlVNd2ZVSiveJOUsm9/yf6L1m2zyoT1iMKWoddB9jVedYxX3VYhxA0SYOvHde/L1XVTWnq6otHVUdfWP1q7qrlntPrCwXf4u94/N7ryn2ts29rXJnd8WgayzL6r3GUlnqTk1lV897XalvnEBSTmXPMTu6K9KS7r6xcoOu2VZ0p7qzf+xx37yKZU8pB/y/TMqZMrI1I2va012uSGN7dd/fSTF+sitd3RWZsWRsFi8promVy6Wev+Hev5P+eSCTxj2bHbdYkrF17X1jyrvLpb773jWV3VnaVpNHFo/KopGLsrR+aWo6azK6dXRSLsYKtVW1ZUzLmIxrGpet6orxj/VVnZnXPCItHZV947VG1RR99+eWjs6S1prUVhV/N+1dlYPaierK4ppHS2d13zWm3sdd3aW+32HvGLJ5TSOzcPFOaWvbIt3dVT39xOJ+RzEutjjnGjFidlJR/Nx7r7/1vdcNGBdVWSqnvqorVRXdPW1Yqe98t3ecWkd3RZo7i3GGvW1xVXdVcU14wHtiTWdNOtrH9Jzb1fT0xVsGXDss941RHdhOrEwp5ew+cVHfWLFZjb3Xp4rf1+iescf3z5mQ7cYtzYQRbWnvmaPQ0TNHoa6qK/VVnWnrqsx9c8ZnRHVXT/tSkbbOipRT6rsuXiqV09VdkYb2wR8+srJr9r33dnvvT1R3VqdcKqezsrPv3m5tR23KXXV95+IVFR2DrtcU/yeT4rpWKeVyVd8Y+P7z9QE/k9LAcUGrPk8o951/D/wPlgGPS0mpOy01LWmuae4bR1rVVZXW6tZUdlemvr0+I9pHpLrnXn6plHSXi2MPPpcsfmOtbaN7xn/VpaqqLVVVTQPeE4vnrKxsTXfdoiwZsSRNdU2p6qrK6JbRaatu67sfO7Z5bEa1jsrYnjF1SdLcUZXucv95QnXPecKi1rq0prvvbzMprud2VnSmlJ5rLJ3VqSpX9YwH6/1ZDuz39dZv+XPilf3+qyu6MrKmI1UV3Wnvquwb619Z6i7mR/XM2xlZ3ZFpYxtSX9WVuU31ae2sSmVFMQ5jZE1HSkmeXTI6S9sGvk8U/xcre/pTlT3tdktn9WrNKUjSd1144HW6QecJXZVJd1VPf70mSbnnfXP5+xoVFZ1pbx+drq7alErdPfcnB59jFedeg/9fr+xn19FRn87OkenurkpFRXvPuNPe94lSz3O291yzXI3X2lU14P/O4Haz9/peMa5m+bote7zu7oqe/np1z8+kdz5Br/57dcU9wJqUSl0951f973W9fezVGcewrFWdJxTnw71/A919r3Gw7nRV9szvqOhMSsX8zs7Kzr5zhprOmpWOd132eWsquzJ5ZHNG1nSkuaOYV1ouJ7VVRR+omKdXlZmNI/vPT3vG45ZS6u+LdVekslxZnEtVrOx8onjOju6KtLbX9VwnqExFRecy753F76FU6kxHTTEuvK2muC9S316f1upinEFtZ21GthZzPgfeQ1rV31NVRXffNdxyudT319Q7B6ynNc0WPf3Jts7KtHVVFmNNKst97XZrZ2XmLJmU5uZi7mExDm7JMmMFi3PsmrqFfddieufg9M6T67uP3V212vc7V+f3miSD7zf3t0kr+1zoVR2vrqozE0e0pK6qK80dVT3zFks983u7+s6x5zbX9p1PdFd0p7Krsu/eQe8YpZqumkwa0ZLJI1tSU9mVhS11aeuq7DkX7e5rF2YsGZV5DZN63seqU1XVNGjMTv8Hu7SmvX2LdHQU7zs1NQ0DrrH3/YZTVdWUxsZtes4nK/rmY/XfP6vouwe0dOkOaWsb2zOmcF5fuf42pjsjR87u+T/bf41x2TFbxbeuvjlJvb/zFV3bT7Lc9Y4Vze9and9/cX+6IWNr29JdLmVhS206uytTV1WMFayv6kxHd0UeWzA2zZUdaa1Z8Ziy3usYdSkVYwIru9PeVZH2rsqUU9xjrygV/yc6uooxiSuq3/Lv6zU9Y7uqUip1rGCcdTGmaHXGCiblTB7ZktG1Rf924LyN3jGK3eViPlZH9wt/6Hw5xTXRzorOQfe4BvbLKrsrU+4YmZaWSenoGNEzL7JhuWvAxTW7JS/4nEkyorojo2uKazbNPWM7SinmkxbXrZOlbUV/YlxdWyoryn3jnat65pMV42BKeX7pqDR1VvT9zfX+DQ3sM1R0V6Qypb7rSeX0Xjvq78dUVhTn9g1ttenoGJOurqLtLMYTLHs+UU51dUtff3Pg/PqB9/lLPc85uqaYB97cUZWu7uLDoaoqir5TkjT1zFutr+5IZalcXMcqF0cprmMVfcDG9qqMr2/LFnVtqeiZZ9/eVZHqiuJ8bWRNR7q6S3lu6aiMry/GP3aXS33XJ3rvAdVWdqWzu5Snl4xOQ2Vbmuuai+t5KxpT2DYyNV2r15+oqijGqxbz/Sr6zvOqKoqfb2970tRR1X8tfplrLKWUeq7FV6atdUJaW7dIV1dtqqsb++6L9n/YVUXPtbz+38WKlHr6z+3to9LdXdvTh2tdZhxbcd5WXBfsP9aKxm30Wm4e+IDyfdfs28f0zdsv5ootXuY+VtF2bj/x+Uwb05D66s7MaRyZ5o6qvt/VqJr2lErJU4uKsRzFOXe551y61DcXu7qnn1r8Xbzw//+1tbL3p87Omp772HU9Y9F7r2MOPJ/sSmdnfRYv3mXQPNDivL27p39TmerqpowYsTrzQMvZbcLiTB3dmIpSMX+4pbMqo2raM7K6M9PGNqSjqyK3Pz85W9S3ZvKolnSXk1kNo9LWVczTH1XTkSmjmtLRXZlrpu+QJ2a86gXn7YwcOSvdFf33CdIzPqi7NPg65sqyNpZvJ6oHjBXpSjHvcPA9xlKpazXHipQzuqYjdVVFf6GlozLd5YpUlLpTWVH8P01KWdxam47uUt/f8ArfOwe0wy80br+rc0QaGqYtM/Z44BiA4vdfP2JOOiv6zxN7x170tkFV3VWp6qrKpBGt2Xp0Y+qqOou8l86qVJbKqa3qysjqov15vmFUZi0Z3zemvBjr1pFlx88WfbHVG2ezot/XsuXKvf8GPE8ppXSnZ9xIz3tAZSk9/YTiOmZXz7lq/32Wov/Q1lmbrq6annte3T1zCgaPdyqVutNV1ZLGusY01zanq6IYe9hRUeTbVHf258qs3nj8ct8czaJNLKW3FSvqWHwvzlmL95ju8oruixb/t5taR2f+/H3T0jKhJ0PjqVRVDZzLVplyuTJbbvFUJo5oSe2gc+z0jCfov45dLifbjVuaUTUdmds0Ik3t1X33JkZWF+NeZjaMTHtXRSaNaElNZXcWthRjSit7zolG9P2djExXd2XfPI62rsqee0XF6+rNzFjaVpf5C3fpmSdamxEj5vSMjR14XbyUESNnJtWtKz13quyuLPo65VIxBqiqI12lrv7sgsrOlLp7coq6alZ6vrvs3+a4utZMGdWcuqrOoj/RWdl3fbXoT5Qzp2lEFrbUL3esFf3+J49s6buPsbStJh3dFampLM6x6qq60l1OZiwZnaVNk3vmQlWmpqZ3vOPA+T2l5fIyVqazsyatrZPS2Vnfc32hYZl+cfG3XlO7eLXui3d11qazc8SAPvbg//+9104GXotZuXLfWNckxXtkV0VqKosxynVVnenqLuWZJWNWq43t6qpKS8uW6ewckSSDxrEMHCtQV7dw0H6r+v1P65nrtqClPi0dVSmViv/HI6o7U1Eqfv/PL9liwDXbzr45Wf194p5rtBXF2ISV3e+qLBdz9Jcf0738+VbvedmaWlXfrrLn/nR3z3X9pP+9M0nPe+rq/d8ZUd3Rc6+43Hcu3jsXrxhTXvwfqCylbx5hW2fv+Jly333lpBiTPq6uva8f0j8evzsVPf37ru5S5jWP6Hm/XPlr7ejoyFVXXZUlS5ZkzHKfZDzYOgl+69XZ2Zn7778/SbL33nunuvqFB4Qta9ddd81OO+2UP//5z4PW9wa/fe1rX8sXvvCF5fZra2tLW1tb3+OlS5dm2rRpq/VDgOHU0dWRtq6esJTKmtRU1rzAHgAAAKuvpaMld866M22dRb+jtqo2B2x1QOqr619gz2W0L0maZySdDcUn31SO6Llq03OTplxOxuy6eldy1t2lCNjwNTyeND6ddLcmdVslVT3hiKVSUu5OSpXJmN2S7o6kbX7S2VSsr6gZUK6cVNYW+86+Lml5LqmdlIzcoSjXvqAoW+5OaicWx7j388nSx5Jd/jWZdGhSqkoW/DNpm5u0zE4mHJhMfWMy769J67xki32Lfbs7k47FPf9Pu5Ox++Tp+dvngQeS+fOTiROTKVOKT+MpBqIVk1G23DKZMm5u0vhU0tmY1Izrea0DBuOWy8nYPdbnTx9Yle6OpKMh6WpJ36fZ9c1IqUhqxidVI4a5kgCr9vTip/P4gsdTV1WX1s7W7Dph12w3brvhrhYAAAAMuYa2htw5686Uy+V0dndmVM2oHDD1AOMPAQBgiHWXu/Pc0ufS2V1M5pxQPyFj68YOc60AAACATUVXd1e6ykVAUXVFdUrr8lOQABhyS5cuzdixY9d98NtTTz2VG264IQcffHB23XXXQdv++Mc/5gMf+EDmz5+fJNliiy3ygx/8ICeccMIaVf6Vr3xlurq6cttttw1a/+CDD2bvvffOj370o/zLv/zLCx5nTX4IAAAAALBJ6u5MulqT7p5PU6qoLoIbK6pecFcAAAAAAAAAAAAAAAAAAF7YmmSeVazJgX/yk5/kQx/6UGprawetnz59ek444YTMmzcv2267bXbfffcsWrQoJ510Uu6+++41qvw+++yThx9+OJ2dnYPW33///UmSvffee42OBwAAAACbrYqqpHpUUjs+qZ2QVI8R+gYAAAAAAAAAAAAAAAAAMEzWKPjt5ptvzr777pvttttu0Przzz8/ra2t+ehHP5qnnnoqDz74YH7zm9+kq6sr//M//7NGFTr++OPT2NiYyy67bND6n//855k6dWpe8YpXrNHxAAAAAAAAAAAAAAAAAAAAAAAAAIZb1ZoUfuqpp3L44Ycvt/6qq65KTU1Nzj333L51b33rW3PIIYfkb3/72xpV6PWvf32OPPLIfOQjH8nSpUuz884755e//GWuuuqqXHjhhamsrFyj4wEAAAAAAAAAAAAAAAAAAAAAAAAMtzUKfps/f36mTZs2aN3ixYvzxBNP5JBDDsno0aMHbdtvv/1yxx13rHGlLr/88px22mn58pe/nIULF2b33XfPL3/5y7zrXe9a42MBAAAAAAAAAAAAAAAAAAAAAAAADLc1Cn6rqqrK4sWLB627++67kyQve9nLlis/atSotarUqFGjcv755+f8889fq/0BAAAAAAAAAAAAAAAAAAAAAAAANiQVa1J41113zXXXXTdo3dVXX51SqZRXvepVy5WfOXNmttpqqxdXQwAAAAAAAAAAAAAAAAAAAAAAAICN3BoFv73tbW/L448/ng9/+MO57777cvnll+eHP/xhRo0alWOOOWa58rfcckt23nnndVZZAAAAAAAAAAAAAAAAAAAAAAAAgI3RGgW/fepTn8o+++yTn/zkJ9l///3zjne8I0uXLs2Xv/zljBw5clDZO+64I9OnT8+RRx65TisMAAAAAAAAAAAAAAAAAAAAAAAAsLGpWpPC9fX1ueWWW/Kd73wnt956a8aPH593vOMdedOb3rRc2bvuuitvfvObV7gNAAAAAAAAAAAAAAAAAAAAAAAAYHNSKpfL5eGuxFBYunRpxo4dmyVLlmTMmDHDXR0AAAAAAAAAAAAAAAAAAAAAAABgE7MmmWcV66lOAAAAAAAAAAAAAAAAAAAAAAAAAJstwW8AAAAAAAAAAAAAAAAAAAAAAAAAQ0zwGwAAAAAAAAAAAAAAAAAAAAAAAMAQE/wGAAAAAAAAAAAAAAAAAAAAAAAAMMQEvwEAAAAAAAAAAAAAAAAAAAAAAAAMMcFvAAAAAAAAAAAAAAAAAAAAAAAAAENM8BsAAAAAAAAAAAAAAAAAAAAAAADAEBP8BgAAAAAAAAAAAAAAAAAAAAAAADDEBL8BAAAAAAAAAAAAAAAAAAAAAAAADDHBbwAAAAAAAAAAAAAAAAAAAAAAAABDTPAbAAAAAAAAAAAAAAAAAAAAAAAAwBAT/AYAAAAAAAAAAAAAAAAAAAAAAAAwxAS/AQAAAAAAAAAAAAAAAAAAAAAAAAwxwW8AAAAAAAAAAAAAAAAAAAAAAAAAQ0zwGwAAAAAAAAAAAAAAAAAAAAAAAMAQE/wGAAAAAAAAAAAAAAAAAAAAAAAAMMQEvwEAAAAAAAAAAAAAAAAAAAAAAAAMMcFvAAAAAAAAAAAAAAAAAAAAAAAAAENM8BsAAAAAAAAAAAAAAAAAAAAAAADAEKsa7goMlXK5nCRZunTpMNcEAAAAAAAAAAAAAAAAAAAAAAAA2BT1Zp31Zp+tyiYb/NbQ0JAkmTZt2jDXBAAAAAAAAAAAAAAAAAAAAAAAANiUNTQ0ZOzYsassUyqvTjzcRqi7uzszZ87M6NGjUyqVkhSJeNOmTcuMGTMyZsyYYa4hALAi2msA2DhoswFgw6e9BoCNgzYbADZ82msA2DhoswFgw6e9BoCNgzYbADYO2mwA2LCUy+U0NDRk6tSpqaioWGXZqvVUp/WuoqIi22yzzQq3jRkzxkkLAGzgtNcAsHHQZgPAhk97DQAbB202AGz4tNcAsHHQZgPAhk97DQAbB202AGwctNkAsOEYO3bsapVbdSwcAAAAAAAAAAAAAAAAAAAAAAAAAC+a4DcAAAAAAAAAAAAAAAAAAAAAAACAIbZZBb/V1tbmzDPPTG1t7XBXBQBYCe01AGwctNkAsOHTXgPAxkGbDQAbPu01AGwctNkAsOHTXgPAxkGbDQAbB202AGy8SuVyuTzclQAAAAAAAAAAAAAAAAAAAAAAAADYlFUMdwUAAAAAAAAAAAAAAAAAAAAAAAAANnWC3wAAAAAAAAAAAAAAAAAAAAAAAACGmOA3AAAAAAAAAAAAAAAAAAAAAAAAgCG2yQe/NTY25pOf/GSmTp2aurq67LfffvnVr3413NUCgM3WjTfemFKptMKvW2+9dVDZu+66K0cccURGjRqVcePG5a1vfWuefPLJYao5AGy6Ghoa8rnPfS5HHXVUJk2alFKplLPOOmuFZdekff7e976X3XffPbW1tdlhhx1y9tlnp6OjYwhfCQBsula3vT711FNX2OfefffdV3hc7TUArDvXX3993v/+92f33XfPyJEjs/XWW+fNb35z7rzzzuXK6l8DwPBZ3TZbHxsAhs8999yTN77xjdl2221TX1+f8ePH55WvfGUuvPDC5crqYwPA8FndNlsfGwA2LD/96U9TKpUyatSo5bbpZwPAhmNlbbZ+NgBsGqqGuwJD7a1vfWtuv/32fP3rX8+uu+6aiy++OO9+97vT3d2dE088cbirBwCbrXPPPTevec1rBq3be++9+5YfeeSRHH744dlvv/1yySWXpLW1NV/+8pdzyCGH5J577smkSZPWd5UBYJO1YMGC/PjHP86+++6bt7zlLfnpT3+6wnJr0j6fc845OeOMM/KFL3whRx11VG6//facfvrpef755/PjH/94fb00ANhkrG57nST19fW5/vrrl1u3LO01AKxbP/zhD7NgwYJ84hOfyJ577pl58+blW9/6Vg466KD85S9/yWtf+9ok+tcAMNxWt81O9LEBYLgsXrw406ZNy7vf/e5svfXWaWpqykUXXZRTTjklTz/9dE4//fQk+tgAMNxWt81O9LEBYEPx/PPP5zOf+UymTp2aJUuWDNqmnw0AG45VtdmJfjYAbApK5XK5PNyVGCp/+tOf8sY3vrEv7K3XUUcdlQcffDDPPvtsKisrh7GGALD5ufHGG/Oa17wmv/nNb/L2t799peVOOOGE3HDDDXniiScyZsyYJMkzzzyTXXbZJZ/61KfyjW98Y31VGQA2eb2XBkqlUubPn59JkyblzDPPzFlnnTWo3Oq2zwsWLMg222yT97znPfnRj37Ut/+5556b008/PQ888ED23HPP9fPiAGATsbrt9amnnppLL700jY2Nqzye9hoA1r25c+dmyy23HLSusbExO++8c/bee+9ce+21SfSvAWC4rW6brY8NABuegw46KDNnzsyzzz6bRB8bADZUy7bZ+tgAsOE47rjjUiqVMn78+OXaZ/1sANhwrKrN1s8GgE1DxXBXYCj99re/zahRo/KOd7xj0Pr3ve99mTlzZv75z38OU80AgFXp7OzMH//4x7ztbW/ru1GQJNttt11e85rX5Le//e0w1g4ANj2lUimlUmmVZdakfb7qqqvS2tqa973vfYOO8b73vS/lcjlXXHHFOq0/AGwOVqe9XhPaawBY95YNkEmSUaNGZc8998yMGTOS6F8DwIZgddrsNaHNBoD1Z+LEiamqqkqijw0AG7KBbfaa0GYDwNC68MILc9NNN+UHP/jBctv0swFgw7GqNntNaLMBYMO2SQe/PfDAA9ljjz2Wu1nwkpe8pG87ADA8PvrRj6aqqipjxozJ0UcfnZtvvrlv2xNPPJGWlpa+Nnugl7zkJZk+fXpaW1vXZ3UBYLO3Ju1zb397n332GVRuq622ysSJE/XHAWCItbS0ZMqUKamsrMw222yTj33sY1m4cOGgMtprAFg/lixZkrvuuit77bVXEv1rANhQLdtm99LHBoDh1d3dnc7OzsybNy8/+MEP8pe//CWf//znk+hjA8CGZFVtdi99bAAYXnPnzs0nP/nJfP3rX88222yz3Hb9bADYMLxQm91LPxsANn5r/vEpG5EFCxZkxx13XG79+PHj+7YDAOvX2LFj84lPfCKHH354JkyYkOnTp+eb3/xmDj/88Fx55ZU5+uij+9ro3jZ7oPHjx6dcLmfRokXZaqut1nf1AWCztSbt84IFC1JbW5uRI0eusKz+OAAMnX333Tf77rtv9t577yTJTTfdlO985zu57rrrcvvtt2fUqFFJor0GgPXkox/9aJqamnLaaacl0b8GgA3Vsm12oo8NABuCf/u3f8uPfvSjJElNTU2++93v5sMf/nASfWwA2JCsqs1O9LEBYEPwb//2b9ltt93ykY98ZIXb9bMBYMPwQm12op8NAJuKTTr4LUlKpdJabQMAhsb++++f/fffv+/xIYcckuOPPz777LNPPve5z+Xoo4/u26YdB4ANz+q2z9pxABgen/rUpwY9PvLII7P//vvn7W9/e37yk58M2q69BoChdcYZZ+Siiy7K9773vRxwwAGDtulfA8CGY2Vttj42AAy/L33pS/ngBz+YuXPn5g9/+EM+9rGPpampKZ/5zGf6yuhjA8Dwe6E2Wx8bAIbXZZddlj/84Q+5++67X7A91c8GgOGzum22fjYAbBoqhrsCQ2nChAkrTJlduHBhkhUnzwMA69+4ceNy7LHH5r777ktLS0smTJiQJCttx0ulUsaNG7eeawkAm7c1aZ8nTJiQ1tbWNDc3r7Cs/jgArF/HH398Ro4cmVtvvbVvnfYaAIbW2Wefna9+9as555xz8rGPfaxvvf41AGxYVtZmr4w+NgCsX9tuu21e9rKX5Q1veEN++MMf5l/+5V/yxS9+MfPmzdPHBoANyKra7JXRxwaA9aOxsTEf/ehH8/GPfzxTp07N4sWLs3jx4rS3tydJFi9enKamJv1sABhmq9tmr4x+NgBsfDbp4Ld99tknDz/8cDo7Owetv//++5Mke++993BUCwBYgXK5nKRIiN9pp51SX1/f12YPdP/992fnnXdOXV3d+q4iAGzW1qR93mefffrWDzR79uzMnz9ffxwAhkG5XE5FRf8tAe01AAyds88+O2eddVbOOuusfOlLXxq0Tf8aADYcq2qzV0UfGwCGz4EHHpjOzs48+eST+tgAsAEb2Gavij42AAy9+fPnZ86cOfnWt76VLbbYou/rl7/8ZZqamrLFFlvkpJNO0s8GgGG2um32quhnA8DGZZMOfjv++OPT2NiYyy67bND6n//855k6dWpe8YpXDFPNAICBFi1alD/+8Y/Zb7/9UldXl6qqqhx33HG5/PLL09DQ0Ffu2WefzQ033JC3vvWtw1hbANg8rUn7fMwxx6Suri4XXHDBoGNccMEFKZVKectb3rKeag0AJMmll16a5ubmHHTQQX3rtNcAMDT+8z//M2eddVZOP/30nHnmmctt178GgA3DC7XZK6OPDQDD64YbbkhFRUV23HFHfWwA2IANbLNXRh8bANaPKVOm5IYbblju6+ijj05dXV1uuOGGfPWrX9XPBoBhtrpt9sroZwPAxqdquCswlF7/+tfnyCOPzEc+8pEsXbo0O++8c375y1/mqquuyoUXXpjKysrhriIAbHZOPPHEbLvttnnZy16WiRMn5vHHH8+3vvWtzJkzZ9DFg7PPPjsvf/nLc+yxx+YLX/hCWltb8+UvfzkTJ07Mpz/96eF7AQCwifrzn/+cpqamvhv1Dz30UC699NIkyRve8IaMGDFitdvn8ePH5/TTT88ZZ5yR8ePH56ijjsrtt9+es846Kx/84Aez5557DstrBICN3Qu11/PmzcuJJ56Yd73rXdl5551TKpVy00035b//+7+z11575YMf/GDfsbTXALDufetb38qXv/zlHHPMMXnjG9+YW2+9ddD23kF1+tcAMLxWp81+5pln9LEBYBj9y7/8S8aMGZMDDzwwkydPzvz58/Ob3/wmv/71r/PZz342kyZNSqKPDQDDbXXabH1sABhedXV1Ofzww5dbf8EFF6SysnLQNv1sABg+q9tm62cDwKajVC6Xy8NdiaHU2NiY0047LZdcckkWLlyY3XffPV/84hfzrne9a7irBgCbpa9//ev59a9/naeeeiqNjY0ZP358Dj744Hzxi1/My1/+8kFl77zzznz+85/PP/7xj1RVVeW1r31t/uu//is77bTTMNUeADZd22+/fZ555pkVbnvqqaey/fbbJ1mz9vm73/1uvv/97+fpp5/OlClT8r73vS+nnXZaqqurh/KlAMAm64Xa67Fjx+YDH/hA7r777syZMyddXV3Zbrvtcvzxx+dLX/pSxo4du9x+2msAWHcOP/zw3HTTTSvdPvDWvP41AAyf1WmzFy1apI8NAMPoZz/7WX72s5/l4YcfzuLFizNq1Kjsu++++eAHP5iTTz55UFl9bAAYPqvTZutjA8CG6dRTT82ll16axsbGQev1swFgw7Jsm62fDQCbjk0++A0AAAAAAAAAAAAAAAAAAAAAAABguFUMdwUAAAAAAAAAAAAAAAAAAAAAAAAANnWC3wAAAAAAAAAAAAAAAAAAAAAAAACGmOA3AAAAAAAAAAAAAAAAAAAAAAAAgCEm+A0AAAAAAAAAAAAAAAAAAAAAAABgiAl+AwAAAAAAAAAAAAAAAAAAAAAAABhigt8AAAAAAAAAAAAAAAAAAAAAAAAAhpjgNwAAAAAAAAAAAAAAAAAAAAAAAIAhJvgNAAAAAAAAAAAAAAAAAAAAAAAAYIgJfgMAAAAAAAAAAGCz9fTTT6dUKuXUU09do/1KpVIOP/zwIakTAAAAAAAAAAAAmybBbwAAAAAAAAAAAAyb3uC1gV81NTWZNm1aTjzxxNx3333DUq/DDz88pVJpWJ4bAAAAAAAAAACATVPVcFcAAAAAAAAAAAAAdtppp5x88slJksbGxtx666355S9/mcsvvzzXX399XvWqVw3J82699dZ5+OGHM3bs2DXa7+GHH86IESOGpE4AAAAAAAAAAABsmgS/AQAAAAAAAAAAMOx23nnnnHXWWYPWnX766TnnnHNy2mmn5YYbbhiS562urs7uu+++xvutzT4AAAAAAAAAAABs3iqGuwIAAAAAAAAAAACwIh//+MeTJLfffnuSpLOzM9/5zney7777pr6+PmPHjs1rXvOaXHnllcvt293dnZ/+9Kc58MADM378+IwYMSLbb7993vKWt+Svf/1rX7mnn346pVIpp556at+6UqmUm266qW+592vZMocffvhyz7tgwYJ86lOfyg477JDa2tpsueWWeec735mHHnpoubKnnnpqSqVSnn766fzgBz/IHnvskbq6umy33XY5++yz093dvTY/NgAAAAAAAAAAADZQVcNdAQAAAAAAAAAAAFiRUqnUt1wul/POd74zl19+eXbdddd89KMfTVNTUy655JIce+yxOf/88/Pv//7vfeW/+MUv5rzzzstOO+2UE088MaNHj87zzz+fv/3tb7n++utz6KGHrvR5zzzzzFxwwQV55plncuaZZ/at32+//VZZ3wULFuSggw7K9OnTc/jhh+dd73pXnn766Vx66aW58sorc8011+SVr3zlcvt99rOfzY033phjjz02Rx11VK644oqcddZZaW9vzznnnLMGPzEAAAAAAAAAAAA2ZILfAAAAAAAAAAAA2CB997vfTZK8/OUvz4UXXpjLL788hx12WK6++urU1NQkSU477bQccMAB+cxnPpPjjjsuO+ywQ5Lkpz/9abbeeuvcd999GTFiRN8xy+VyFi1atMrnPeuss3LjjTfmmWeeyVlnnbXa9f3c5z6X6dOn54tf/GLOPffcvvWnnnpqjjnmmLz3ve/NI488koqKikH73Xnnnbnvvvuy1VZbJUnOOOOM7LLLLvne976XM888s++1AgAAAAAAAAAAsHGreOEiAAAAAAAAAAAAMLSmT5+es846K2eddVY+85nP5OCDD84555yTurq6nHvuubnggguSJOedd96gILRtttkmn/rUp9LR0ZGLLrpo0DFrampSVTX481FLpVLGjx+/zuvf3t6eX/7yl5kwYUJOP/30QduOPvroHH300Xn88cfz97//fbl9zzjjjL7QtySZOHFi3vzmN6ehoSGPPvroOq8rAAAAAAAAAAAAw0PwGwAAAAAAAAAAAMPuiSeeyNlnn52zzz473/3ud/PMM8/kxBNPzG233ZZXvvKVufvuu1NfX58DDzxwuX0PP/zwJMk999zTt+6EE07IU089lb333jtnnHFGrr322jQ1NQ1Z/R955JG0tLTkwAMPzIgRI1arjr1e+tKXLrdum222SZIsXrx4XVYTAAAAAAAAAACAYST4DQAAAAAAAAAAgGF39NFHp1wup1wup729PTNmzMhFF12UffbZJ0mydOnSTJ48eYX7TpkyJUmyZMmSvnXf/e53c95556W6ujpf/epXc+SRR2bixIl573vfm/nz56/z+i9dujRJ1qiOvcaOHbvcuqqqqiRJV1fXuqoiAAAAAAAAAAAAw0zwGwAAAAAAAAAAABu8MWPGZM6cOSvc1rt+zJgxfeuqq6vz2c9+Ng8++GCef/75XHzxxTnkkEPyf//3fznppJOGpH4D67I6dQQAAAAAAAAAAGDzIvgNAAAAAAAAAACADd7++++flpaW3Hbbbcttu+mmm5Ik++233wr3nTp1at797nfnqquuyi677JJrr702LS0tq3y+ysrKJElXV9dq1W/33XdPXV1dbr/99jQ3N69xHQEAAAAAAAAAANj0CX4DAAAAAAAAAABgg/fe9743SfLFL34xHR0dfeuff/75fPvb305VVVVOOumkJElbW1uuv/76lMvlQcdoampKQ0NDqqur+4LdVmb8+PFJkueee2616ldTU5N3v/vdmT9/fr72ta8N2nbttdfmz3/+c3beeee8+tWvXq3jAQAAAAAAAAAAsOmpGu4KAAAAAAAAAAAAwAs55ZRTcvnll+d3v/tdXvKSl+TYY49NU1NTLrnkkixYsCDf+ta3suOOOyZJWlpa8rrXvS477rhjXvGKV2TbbbdNY2Nj/vjHP2b27Nn5/Oc/n5qamlU+32tf+9pceumlecc73pE3vOENqauryz777JM3vvGNK93nG9/4Rm666aZ89atfzd///ve84hWvyNNPP51LL700I0aMyM9+9rNUVPi8VgAAAAAAAAAAgM2V4DcAAAAAAAAAAAA2eKVSKZdeemnOP//8/PznP8/3vve91NTU5KUvfWn+4z/+I29605v6yo4cOTLf+MY3ct111+Vvf/tb5s6dmy222CK77757vvGNb+Sd73znCz7fhz70oTz99NP51a9+lXPOOSednZ1573vfu8rgt0mTJuWf//xn/vM//zO/+93v8re//S1jx47Nm9/85px55pnZe++918nPAgAAAAAAAAAAgI1TqVwul4e7EgAAAAAAAAAAAAAAAAAAAAAAAACbsorhrgAAAAAAAAAAAAAAAAAAAAAAAADApk7wGwAAAAAAAAAAAAAAAAAAAAAAAMAQE/wGAAAAAAAAAAAAAAAAAAAAAAAAMMQEvwEAAAAAAAAAAAAAAAAAAAAAAAAMMcFvAAAAAAAAAAAAAAAAAAAAAAAAAENM8BsAAAAAAAAAAAAAAAAAAAAAAADAEBP8BgAAAAAAAAAAAAAAAAAAAAAAADDEBL8BAAAAAAAAAAAAAAAAAAAAAAAADDHBbwAAAAAAAAAAAAAAAAAAAAAAAABDTPAbAAAAAAAAAAAAAAAAAAAAAAAAwBAT/AYAAAAAAAAAAAAAAAAAAAAAAAAwxAS/AQAAAAAAAAAAAAAAAAAAAAAAAAwxwW8AAAAAAAAAAAAAAAAAAAAAAAAAQ0zwGwAAAAAAAAAAAAAAAAAAAAAAAMAQE/wGAAAAAAAAAAAAAAAAAAAAAAAAMMQEvwEAAAAAAAAAAAAAAAAAAAAAAAAMsarhrsBQ6e7uzsyZMzN69OiUSqXhrg4AAAAAAAAAAAAAAAAAAAAAAACwiSmXy2loaMjUqVNTUVGxyrKbbPDbzJkzM23atOGuBgAAAAAAAAAAAAAAAAAAAAAAALCJmzFjRrbZZptVltlkg99Gjx6dpPghjBkzZphrAwAAAAAAAAAAAAAAAAAAAAAAAGxqli5dmmnTpvVln63KJhv8ViqVkiRjxowR/AYAAAAAAAAAAAAAAAAAAAAAAAAMmd7ss1WpWA/1AAAAAAAAAAAAAAAAAAAAAAAAANisCX4DAAAAAAAAAAAAAAAAAAAAAAAAGGKC3wAAAAAAAAAAAAAAAAAAAAAAAACGmOA3AAAAAAAAAAAAAAAAAAAAAAAAgCEm+A0AAAAAAAAAAAAAAAAAAAAAAABgiAl+AwAAAAAAAAAAAAAAAAAAAAAAABhigt8AAAAAAAAAAAAAAAAAAAAAAAAAhpjgNwAAAAAAAAAAAAAAAAAAAAAAAIAhJvgNAAAAAAAAAAAAAAAAAAAAAAAAYIgJfgMAAAAAAAAAAAAAAAAAAAAAAAAYYoLfyOGHH55SqZQbb7xxuKsCAAAAAAAAAAAAAAAAAAAAAAAAmyTBbxux7bffPqVSKaVSKZ/+9KdXWfb888/vK1sqldZTDYfHwJ9L71d9fX122mmnvP/978+DDz7YV/bHP/5xSqVSpk2blu7u7hc89l133ZVSqZSqqqrMnj07SXLBBRf0PU9NTU0WLFiw0v07Ozuz5ZZb9pU/66yzXvTrBQAAAAAAAAAAAAAAAAAAAAAAYMMn+G0TcfHFF6erq2ul2y+88MKVbtt2222z2267ZcSIEUNRtWGzyy675NWvfnVe/epXZ6eddspzzz2Xn/3sZznggAPyhz/8IUlywgknpLa2Ns8991xuuummFzxm78/xiCOOyJQpU5bb3tHRkV//+tcr3f8vf/lL5s2bt5avCAAAAAAAAAAAAAAAAAAAAAAAgI2V4LdNwG677ZbZs2fn2muvXeH2Rx99NHfccUd22223FW7/v//7vzzyyCM58MADh7Ka692XvvSl3Hzzzbn55pvzwAMP5Nlnn80RRxyRtra2vO9970tjY2PGjRuX4447Lsmqw/GSpKurK7/61a+SJKeccspy23fZZZeUSqX84he/WOkxeret7HcBAAAAAAAblVJp9b4AAAAAAAAAAAAAAAAAwW+bgpNPPjnJyoPLesPGVhRWtjmZPHlyfvGLX6S2tjYLFizINddck6T/53LZZZelra1tpftfd911mTVrVkaNGpXjjz9+ue3bbrttDj300Nx6662ZPn36ctsbGhry+9//PjvssENe/epXr6NXBQAAAAAAAAAAAAAAAAAAAAAAwMZA8Nsm4LDDDsu0adPy29/+Nk1NTYO2lcvlXHTRRamvr89b3/rWFe5/+OGHp1Qq5cYbb1zh9ttvvz0nn3xytt1229TW1mby5Ml51atelfPOOy9LlizpK3fBBRekVCrl1FNPTVNTU770pS9l1113TV1dXQ4//PBBdbrwwgtz2GGHZdy4camvr8/uu++ez3/+81m4cOGL/nmsypQpU7LLLrskSR5//PEkyetf//pMnDgxS5YsyR/+8IeV7tsbrPfWt741I0aMWGGZVYXwXXrppWlpaclJJ52UUqn0ol4HAAAAAAAAAAAAAAAAAAAAAAAAGxfBb5uAUqmUk046KU1NTfntb387aNvNN9+cp59+Om95y1syevToNT72eeedl1e84hW56KKLsmTJkuyzzz4ZPXp07rjjjnz+85/P3Xffvdw+LS0tOfTQQ/P1r389VVVV2XPPPVNbW5ukCH07+eSTc8opp+Svf/1rJkyYkD333DNPPfVUzjvvvLz0pS/Nk08+uXY/iNVULpcHPa6urs473/nOJCsObEuS5ubmvp/tKaecstJjv+Md70hdXV0uuuii5bb1Hrs3HA4AAAAAAAAAAAAAAAAAAAAAAIDNxwYX/Hb99dfn/e9/f3bfffeMHDkyW2+9dd785jfnzjvvHO6qbdB6w8h+8YtfDFrf+3hVYWUr87vf/S6f//znU1FRkW9961uZP39+7rjjjkyfPj2LFy/Oj3/840yePHm5/S677LI0NjbmwQcfzEMPPZS77rorv/vd75Ik3//+93PxxRdn9OjRufrqq/PEE0/kzjvvzDPPPJNXv/rVeeaZZ3LiiSeucV1X1+zZszN9+vQkyc4779y3/j3veU+S5M9//nMWLVq03H5XXHFFGhsbM3Xq1Lz2ta9d6fHHjh2b4447LtOnT88//vGPvvXPPfdcbrzxxhx44IHZbbfd1tXLAQAAAAAAAAAAAAAAAAAAAAAAYCOxwQW//fCHP8zTTz+dT3ziE/nTn/6U888/P3Pnzs1BBx2U66+/frirt8Hac889s//+++e6667LrFmzkiRtbW35zW9+ky233DJHHnnkGh/zS1/6UpLkzDPPzH/8x3+kurq6b9uIESPyoQ99KHvsscdy+3V1deWXv/zloG11dXUpl8s577zzkiRf+cpXBtVpypQp+fWvf52ampr885//HJLf9dy5c3PKKaekra0tW2yxxaDnP/DAA7Prrrumvb09l1xyyXL7XnjhhUmSk046KRUVq/5vc/LJJycZHMJ30UUXpbu7u28bAAAAAAAAAAAAAAAAAAAAAAAAm5cNLvjt+9//fq6//vp85CMfyWGHHZa3v/3tueaaazJhwoSce+65w129Ddopp5zSF7qWJH/84x+zePHivPvd705VVdUaHWv69Ol56KGHUlNTk09+8pNrtO9ee+2Vl770pcutf/jhhzNjxozU1dXlQx/60HLbt95667ztbW9Lklx99dVr9Jwrcu655+bggw/OwQcfnL333jvTpk3Ltddem+rq6vzkJz/J6NGjB5U/5ZRTkvSHvPWaO3durrnmmkFlVuX1r399Jk6cmEsuuSQdHR19x6yqqsq73vWuF/26AAAAAAAAAAAAAAAAAAAAAAAA2PhscMFvW2655XLrRo0alT333DMzZswYhhptPN797nensrIyv/jFL5Kk7/vJJ5+8xsd6+OGHkyR77rnncgFpL2SPPfZY4frHHnssSbLttttm5MiRKyyz1157DSr7Yjz++OO55ZZbcsstt+Txxx/PlClTcvLJJ+e2227rC5gb6OSTT06pVMott9ySZ555pm/9r371q3R2dmbffffNPvvs84LPW11dnRNOOCELFizIn/70p9xzzz154IEHcvTRR2fSpEkv+nUBAAAAAAAAAAAAAAAAAAAAAACw8dnggt9WZMmSJbnrrrv6QsFWpK2tLUuXLh30tbmZMmVKjjjiiNxzzz3561//mj//+c/Zfffd87KXvWyNj9X78xs3btwa77uyULfGxsYkKw736zV58uQkSUNDwxo/77J+9rOfpVwup1wup62tLc8880x+8YtfZL/99lth+e233z4HH3xwyuVyLrroor71F154YZLklFNOWe3n7i174YUXrtX+AAAAAAAAAAAAAAAAAAAAAAAAbFo2iuC3j370o2lqasppp5220jJf+9rXMnbs2L6vadOmrccabjh6w8VOOeWUtLe3r3XY2OjRo5MkixcvXldVy6hRo5Ikc+fOXWmZOXPmDHr+9a3359Ub/PbYY4/l9ttvT0VFRU488cTVPs5BBx2UXXbZJX/4wx9y4YUXZsyYMXnTm940JHUGAAAAAAAAAAAAAAAAAAAAAABgw7fBB7+dccYZueiii/Kd73wnBxxwwErLffGLX8ySJUv6vmbMmLEea7nhOP744zNq1Kg8++yzKZVKOemkk9bqOHvttVeS5KGHHkpDQ8M6qduuu+6aJHn22WfT2Ni4wjIPPvjgoLLr2wknnJC6uro89NBDufvuu3PhhRcmSY444ohstdVWa3Ssk046KW1tbZkzZ07e9ra3pb6+fiiqDAAAAAAAAAAAAAAAAAAAAAAAwEZgSILf2tra0tnZ+aKPc/bZZ+erX/1qzjnnnHzsYx9bZdna2tqMGTNm0NfmaMSIEfn0pz+d173udfnwhz+c7bbbbq2Os9NOO2XvvfdOe3t7vvvd766Tuu2xxx7Zdttt09ramp/+9KfLbZ85c2Yuu+yyJMnRRx+9Tp5zTY0dOzbHHXdckuTCCy/MxRdfnCQ55ZRT1vhYp5xySl73utflda97XT70oQ+t03oCAAAAAAAAAAAAAAAAAAAAAACwcVnr4Lebb745X/nKV7J48eK+dQsWLMjrX//6jBo1KmPGjMlpp5221hU7++yzc9ZZZ+Wss87Kl770pbU+zuborLPOyrXXXpsf/vCHL+o4X/3qV/uO993vfjcdHR1925qbm/PTn/40Dz/88Gofr1Qq5bOf/WyS5Mwzz8x1113Xt23OnDl517velfb29hx00EF5zWte86Lq/mL0hrz94Ac/yBNPPJGRI0fm+OOPX+Pj7Ljjjrn22mtz7bXX5pWvfOW6riYAAAAAAAy/cnnw1wutBwAAAAAAAAAAAAAAgM3YWge/fetb38rPf/7zjBs3rm/dpz/96fzlL3/JjjvumHHjxuXrX/96Lr300jU+9n/+53/mrLPOyumnn54zzzxzbavIi/TmN785X/va19LV1ZVPfOITmTRpUl7+8pdn1113zbhx4/KhD30oc+bMWaNjfvSjH82JJ56YpUuX5ogjjsguu+ySAw44INtuu23+9re/Zdttt81FF100RK9o9RxzzDGZOHFiWltbkyRvfetbM3LkyGGtEwAAAAAArFel0up9AQAAAAAAAAAAAAAAAKttrYPf7rnnnhxyyCF9j5ubm3PJJZfkqKOOyqOPPppHH3002267bX7wgx+s0XG/9a1v5ctf/nKOOeaYvPGNb8ytt9466Iv16wtf+EL+/ve/54QTTsiIESNy7733ZunSpXn5y1+eb37zm3npS1+6RscrlUq58MIL83//93855JBDMnfu3Dz44IPZbrvt8tnPfjZ33XVXdtxxxyF6Naunuro673rXu/oen3zyycNYGwAAAAAAAAAAAAAAAAAAAAAAADYFpXK5XF6bHUeOHJlPfvKTOeecc5Ik1113XY488sj88pe/zDvf+c4kycc//vFcdtllmTlz5mof9/DDD89NN9200u2rW92lS5dm7NixWbJkScaMGbPazw8AAAAAALDZK5VWr9yy921691u7208AAAAAAAAAAAAAAACw0VmTzLOqtX2Surq6NDQ09D2+6aabUiqVcthhh/WtGzVqVBYtWrRGx73xxhvXtkoAAAAAAAAAAAAAAAAAAAAAAAAAG6S1Dn7beeedc9VVV6WtrS0VFRX59a9/nT333DNTpkzpK/Pss89myy23XCcVBQAAAAAAAAAAAAAAAAAAAAAAANhYrXXw24c+9KH8y7/8S3bZZZfU1NTkqaeeynnnnTeozD//+c/sueeeL7qSbJ7uvvvufPzjH1/t8t/73vey//77D2GNAAAAAAAAAAAAAAAAAAAAAAAAYO2sdfDbBz7wgTz++OP53//93zQ3N+fDH/5wPvnJT/Ztv+GGG/Lkk0/mX//1X9dFPdkMLVmyJLfccssalYfN3VXTr8odM+9Ikrx///dn6uipw1wjAAAAAAAAAAAAAAAAAAAAAAAgSUrlcrk8FAdub29PS0tLRo4cmaqqtc6XW2tLly7N2LFjs2TJkowZM2a9Pz/AcHjPb9+TX9z3iyTJNadckyN2PGKYawQAAAAAbJRKpdUrt+xtpt79hub2EwAAAAAAAAAAAAAAAGxw1iTzbMgS2WpqalJTUzNUhwdgBeY3z1/hMgAAAAAAAAAAAAAAAAAAAAAAMLwqXuwBfvvb3+aEE07IS17ykuy888596x955JGcd955ef7551/sUwCwmlY3+G1e07zMWDIjM5bMSHe5e31UDQAAAADYmJTLg79eaP0aampKfvKT5Gc/Sxoa1kF9Aei34LbkqQuT5ufWbv9S6YW/AAAAAAAAAAAAAABYK1Vru2N3d3fe/e5359JLL02S1NfXp6WlpW/7FltskdNOOy1dXV354he/+OJrCsALWt3gt7dd8rb87dm/JUlmfXpWpoyaMuR1AwAAAABIkmeeSV75ymTWrOLx2WcnN9yQ7LDD8NYLYJNw72nJQ+cWy5X1yYH/m2z/7uGtEwAAAAAAAAAAAAAAfSrWdsfvfOc7+c1vfpMPf/jDWbRoUT7zmc8M2j558uQccsghufLKK190JQFYPasb/Da3ae4KlwEAAAAAhlJXV/Le9/aHviVFENxxxyVtbcNXL4BNwryb+0PfkqSrJbn15GL9BuCbt3wz478xPuO/MT5XPHLFcFcHAAAAAAAAAAAAAGBYrHXw2wUXXJCXvexl+cEPfpAxY8akVCotV2bnnXfOU0899aIqCMDqae9qT0N7Q9/jVQW/zWue17/cNG+l5VapVHrhLwAAAACAAX74w+Smm5Zf/+CDya9+tf7rA7DJKHcnt31oxevv/szy64fBs0uezaLWRVnUuijPLX1uuKsDAAAAAAAAAAAAADAs1jr4bfr06Tn00ENXWWbChAlZsGDB2j4FAGtgQfPg99uVBb91dHVkYcvCvsdzm+YOab0AAAAAAJKkXE6+//2Vb29uXn91AdjkzLslWfrIird1LFm/dVmJOU1z+pbdnwIAAAAAAAAAAAAANldVa7tjfX19li5dusoyzzzzTMaNG7e2TwHAGlg26G1lwW8LWgYHxM1rnjdkdQIAAAAA1r+u7q48PP/hJMnomtHZbtx2w1yjwm23JY+sJJMIgBfp2V8N33OXy8n0HyVP/jSp3iLZ9ePJNm9artjAsDfBbwAAAAAAAAAAAADA5mqtg9/233///OUvf0lbW1tqa2uX275w4cJcddVVOfTQQ19UBQHo0TovmXllUj81mfy6pKJy0OZlg96WDXjrtexEGhNrAAAAAGDT8nzD89nnh/skSQ7e9uD87X1/G+YaFf70p+GuAcAmbPa1w/fcj38/ufPj/Y/nXJvs+7Vkzy8MKib4DQAAAAAAAAAAAAAgqVjbHf/93/89M2bMyNvf/vY8//zzg7Y98cQTOf7447NkyZL8+7//+4uuJMBmb86Nye+3T/75vuTGo5O/HJA0Pj2oSG/wW2Wpsu9xuVxe7lCC3wAAAABg0za7cfYKl4fbX/86+PHWWydHHJFUrfXHFAGQJGlbkDQ81v+4VJlMfGVSNXron3vRfcndn15+/b1fTOYODh6d0zRnhcsAAAAAAAAAAAAAAJuTtZ5K8+Y3vzlf+MIX8vWvfz3bbrttRo4cmSTZcssts2DBgpTL5Zxxxhl57Wtfu84qC7BZapmV/P1dSVdz/7rF9yY3HpUcdXtSMzZJf/DbDlvskOkLp6e1szXNHc0ZWTNy0OHmNc0b/Lh58GMAAAAAYOM2q2HWCpeHU3t7cuut/Y/HjEluuSXZbrvkxhuTo44atqoBbPwW3Db48b5fS/b4bNL8fHLDEWt+vIEfLFQqrXh9r4fPS7rbV3ychkeTLQ9JknR0dWRhy8K+TT6YCAAAAAAAAAAAAADYXFW8mJ3PPffc/OUvf8mxxx6bESNGpLKyMt3d3TnmmGPy5z//OWefffa6qifA5uveLyWtc5Zf3/B4Mv+Wvoe9wW+7jN9luXUDLTuRxsQaAAAAANi0zGrsD3tr6mhKQ1vDMNam8NxzSWtr/+NvfrMIfUuSww9PzjprOGoFsIlofLJ/ecKBye6fLpZHbJ0cfGlSUbvC3ZYsSW66KXn22bV83vbFyYxLV6vosves3J8CAAAAAAAAAAAAADZXVWu747PPPpuampoceeSROfLII9dlnQDo1bYwefZXq1W0d8LM1qO3Tn1VfVo6WzK/eX62G7fdoHLzmuclScbVjcvi1sVrP7GmXO5fLpVWvB4AAAAAWO9mN85e7vHo2tHDVJvCjBn9y7W1ybvfPXj7Jz+Z/PnP67VKAJuOlpn9y9u/JykN+Py3sXslO394uV1++MPks59NmpqKx+95T7FuxIg1eN451yXdbatVdNn7UUvblqa1szV1VXVr8IQAAAAAAAAAAAAAABu/ihcusmI77LBDTjvttHVZFwCW9fzvk67W1So6v6UIfpswYkLG148v1vWEwQ3UO7Fm94m7J0nmNc1bFzUFAAAAADYQsxpmDX7cOGslJdef557rX37FK5LRy+TQjRiRvPnN67dOAJuMlgHv85Nfu/z2HT8w6OFFFyX/9m/9oW9J8n//l5xwQtLdvQbPO+fGwY+3fnOyx+eSmi2WL9o0J0kyccTEvnVr/eFEAAAAAAAAAAAAAAAbsbUOfhs/fnzGjx+/LusCwLLmXDf48fiXJ5Nft8KivSFv4+vHZ8KICYPWDbRs8NuStiVp62xb8fN3LE0e+npyx0eTJ/6/pLNlbV4FAAAAALAeLRv0tmwQ3HCYMaN/+eUvX3GZqqr1UxeATU7LzOJ7ZX0yetflt1fW9C3OmpV84APLF0mSK68cHAb3ghb8o395q2OSgy9L9vtGcvSdSd3kQUV7709NGzMto2pGDVoHAAAAAAAAAAAAALA5WespNIccckhuvfXWdVkXAJY196/9y1OOTg77Y1JRlTz/h+Rvbx1UdEHzgiTJhPoJGV9fBHOuKPhtXvO8JMkeE/foWze/eX62HrP14IKt85KbXp8svLN/3SP/VdRh1I4v5lUBAAAAAENoueC3xuEPfnvuuf7lnXYavnoAbJJ6g99GTEsqKldZ9L/+K2lbyecBrbHGp/uXX/bD/ucetUPyyguTpv7tvSFvk0ZOyqLWRWlsb8ycxjnrqCIAAAAAAAAAAAAAABuPirXd8Wtf+1oeeOCBnH322ens7FyXdQIgSbrak+YZxXJFdfLKXxShb0my9XHJft8cVLw35G18/fhMqJ8waN1AvRNrdtxix1T1HK93XZ/OluS6QweHviXJ0oeTv5/4Yl4VAAAAADDEZjfOTpJMGzNt0OPhNGNG//KUKcNXD4BNUm/wW93kVRbr6kp+8Yt19JydzUl78aFEGf+yZNT2g7dPOaL4UKMevfeiJo6YmEkjJg1aBwAAAAAAAAAAAACwOala2x2/8Y1vZO+9985XvvKV/PjHP86+++6byZMnp1QqDSpXKpXyv//7vy+6ogCbnZbnkpSL5SlHJXWTBm/f9eP9wXDpD3mbMGJCxtePH7RuoHlN85Ikk0ZMysQREzO7cfbyE2ue/N9k6SMrrlfHkjV/LQBsEO6bc18enf9okuTQ7Q7N5FGrnggKAADAxqe73N0X9PaSyS/JjKUzMqtx1krLl8vJP/6RPP10suuuyQEHJMvc6lknnnuuf1nwG8A61NXWH8BWt+Uqi95ySzJvXv/jrbZKfvKTpLk5OeOM5NFH1+B5mwe8sU86eMVlRk7rW5zTNKcoOmJSFrcuTiL4DQDYjKxuR7tcHtp6AAAAAAAAAAAAG4S1Dn674IIL+pZnzZqVWbNWPGlI8BvAWmp6tn950qHLb6+oTEZtnyRp6WhJU0dTkmR8/fj+4LeWwcFvbZ1tWdJWBLdNHDGxL/htXvO8QeXy+PfXzWsAYIPy7X98Oz+/9+dJkoveelFO3OfEYa4RAAAA69qC5gXp7O5MUgS/Xfn4lZnVsOJ7OIsWJe9/f3LFFf3rDj00ufjiZOut1229Fi3qXxb8BrAOdSztX65b9Qc93HzzgKJ1ydVXJ3vvXTx+zWuSgw5ag+cd8OFEGb3bCxbvDXmbNGJSFrUuGrQOANhMCUMDAAAAAAAAAAA2U2sd/PbUU0+ty3oAsKymZ/qXx+6xyqILWhb0LU+on5AJ9ROK9c0LBpUbGPDWG/yWLDOxZukjxVevcS9Jdv5wsvDO5KkL1vBFALAheXLRkytcBgAAYNMxq7EIeasoVWTPSXsOWjfQzJnJwQcny97u+etfk7e+NfnnP9dtvTo6+pcnTVq3xwbYrHUPeIOtmbDKoo8/3r984on9oW9JMnFi8rOfrX7+yqDgt/qtXrB4X/DbyP7gtzlNc1bzyQAANhPC8AAAAAAAAAAAYLOw1sFv22233bqsBwDLan62f7l+61UWnd88v295fP34jK8fv9z6JJnXNG9QuRUGv839a//ymN2T116f1PZMFNrm+OS+09bkVQCwAXli0RMrXAbYbJgwBQBsBmY3zk5SfPDD1NFTB60b6NOfXj70rdfCheu+Xu3t/cu1tev++ACbre4Bb7CVA95gb/twsuC2/sevuiiPP75n38Pjj1/+UIccsgbP2/xc//JqBL/NaSxC3iaOmJhFLUXw26D7UwAAAAAAAAAAAAAAm4m1Dn4DYIg1z+hfrp+6yqK9AW8jq0emtqo2E0ZMGLS+V+8EmnF141JdWZ2J9UXw28BAuDQ83r+81xn9oW9JsvWxSaliTV8JAOtD49PJojuTirpk0quTmnGDNrd0tGRmw8y+x08sFPwGAACwKZrVMCtJMnnk5Gw5csskxXXC9q721FTWJEmmT09+9av1W6+BwW9V7k4BrDvljv7l0oA32MYnksX39D/uasnjA24BHXTQi3zezob+5Re4j1Uul/vuUU0aMUnwGwAAAAAAAAAAAACwWXvR6T0XX3xxjjrqqGy55Zapra3NpEmTctRRR+Xiiy9eF/UD2Hx1NhXfS5VJ3ZarLNob8NYb+Da+fnzf+nK53FduXnMR8DZpxKQkycQRRfDb3OYBE2t6g99KVUXQ27KmvmHNXgcAQ6u7K3noG8mVuyU3vz3567HJb6ck956WdPdP+nxq8VODdnti0cqD3y558JKc89dzcs5fz8ni1sVDVXMAAACGwKzGnuC3UZMzeeTkvvVzGuf0LV9wweB9PvnJZMGC5K67kte9bmjq1dVVfC+Vii8A1pFyV//yKj68Z+nSisztuR00cmQyYcJKi66e7gGJntXjiu8dDcnMq/q/5v8zSdLQ3pC2rrYkyaSRkzJpZHGfak7TnKxMe3vy2GPJ/fcPDg8FADYh5fLgrxdavzHbnF4rAAAAAAAAAADwgqpeuMiKdXd3553vfGcuv/zylMvl1NfXZ+rUqZk7d26uvfbaXHfddbnsssvym9/8JhUVLzpfDmDz0zthpmpU/0SdhunJM7/qLzN2r2Ta8X3Bb72BbxPqi9k6Hd0daWhvyJjaMUmSuU3FjJ7ewLfe7/Oa5vUfszf4bfTOSfWYdf6yAFjHbvtA8tTPB6/rbkseOjfZYr9k23ckSZ5YWAS9jawemaaOpsxsmJmWjpbUV9cvd8j//Ot/5oG5DyRJXjXtVXnNDq8Z0pcAsKFbvDi5996ktTXZd99kypThrhEAwMrNaugJfhs5ORNGTEhlqTJd5a7MapyVaWOnJUluuaW//Hvfm3znO8Xy+PHJn/+cfOpT675e1dXF93I56e5O3DoCWEdKA275DwyBW8aTz9T2LW+33ToI4RwY/FbR8ybf+FRy0+v71086NDnipr77U0nx4UQLWxYmKe5PdZe7UzEgsK5cTn7/+yKU9Omni3VjxhSPTzstqal5kfUGADZq8+YlZ5yR/OEPSWNj8pKXJB//ePKOd2wiIePLhr/1viihcAAAAAAAAAAAsElZ62k13/ve93LZZZfl0EMPzT/+8Y80NTXlqaeeSlNTU2699dYcdthhueKKK/K9731vXdYXYPPRO2GmYsAMlobHk/vP6P+a8ZskyYLmBUn6A996A+CS9IXCJSsPfuubcFPuThqLYKCM3H6dvhwAhsDs65cPfRukfwLAE4uK9/cDtz4wVRXFZNCnFj+13B4dXR15dP6jfY97A+AANgnl8uCvF1jf0ZGcf36y447J4YcnxxyTTJ2avPvdydy5yx8eAGBDMLtpdpJkyqgpqShVZNLIScX6xmJ9uZzcd19/+c9+dvD+1dXJt7+97us1MKino2PdHx9gszXwPlL3yt9gGxor+5a33XYdPO/A5yqt+vPm5jTOSZJUlCqyRf0WmTSiaJu6yl1Z1LKor1y5nHzkI8lb3tIf+pYkS5cmX/lK8v3vr4N6AwAbrd//Ptl11+RHP0pmzizOEW6+OXnnO5Pzzhvu2gEAAAAAAAAAAKy+tQ5+u+CCC7LbbrvlmmuuySte8YpB2w488MBcffXV2W233fKzn/3sRVcSYLNU7iy+l174rbo33K038G1lwW/zmuYlWUXwW/vCpLutWB6m4LdH5j+Sb/39W/nW37+Vf8z4x7DUAWCj8dh/9y9Xj0v2/3byip8lU49drugTC4vgt53H75xtx247aN1Ajy98PB0DJm0+OO/BdVplgI1FZ2dy3HHJJz+ZLOqfg55yOfnVr4qJZQAAG6JZDbOSJJNHTh70vXf9zJnJwoVF2W22Sfbaa/ljDAxpW1cGHrOhYfX3u/fe5OKLk0suSZ55Zt3XC2CjV1Hdv9zZvNJira2lvuUxY9bB8w4Ke+teZdHe+1AT6icMCiVNkjlNc/qWL7lk1f3tzs61qikAsAmYPj058cRk8eIVb585c71WZ7BS6YW/AAAAAAAAAAAABlj1R2+vwqOPPpqPfexjqapa8SGqqqpy7LHH5n/+53/WunIAm7WKnpmQ3S88i2V+SxHudt+c+/KRP34kSVJKKeWUBwW/zW0uJtYsG/zW1NGU5o7mjOhq7T9o3eT+5QV3JO0L+h9POCipGbvGL2l1XPLgJTnzxjOTJCftc1JeOe2VQ/I8ABu97s5k9jXFcuWI5OjbktG7FI93PDV58oKkVNlX/MnFTyZJth+3fbYft32eXPRknli0fPDbg3MHB70JfgM2V9/7XvKXvwx3LQAA1tysxp7gt1GT+7/P6V9/3339ZffYY/3Vq7a2f3nOnGTixFWXv/PO5PTTk6uuGrz++OOTH//4hfcH2CSsTkhI64D7N23z+pfH7lU8Xly88be193/Q0DoJ+KwYcJDu9sEBdMvoDX7rDXwbWzs2VRVV6ezuzNymudlz0p7p7k6+/OX+fUaMSM46K9lzz+Tvf0/++7/XQZ0BgPVndc5jyuXVPtyZZyZNTf2P3/CG5KCDknvuSa64Yo1rBwAAAAAAAAAAMKzWOvitpqYmTQNHU61AU1NTatbJqHGAzVBf8Fv7CxbtDXd7dMGjeXTBoyvcliTzmooJP88seSYX339x30Sb3m3bVQ4Imaus61++94vJnGv7Hx91ezLhZav7StbInbPuXOEyAMtoeDTpDezc8X39oW+9djx1UHjoEwuLkLcdxu2Q7cdunyR5ctGTyx32gbkPJEm2G7tdnlnyTB6Y+0DK5XJKPoke2Ix0dCTnntv/eP/9k5/8JNlrr+SOO5LPfW7F+z39dPLII8XyPvskW2895FUFWGeefjq57rpk6dJkm22S1742mTBhuGsFrI1ZDT3BbyMnD/reu/7JAV3BXXddf/WaMiV5/PFiefbs4txqZW65JXnd65K2tuW3/fa3ycc+VrxPAZCkZlxSqkrKnUlb/32fHHB+svDu5C8vTZKUSv3BKmuQsbJyA4PfOhqSqpErLdoX/DZiUk9dSpk4YmJmN87u2/bII8ljjxXlq6qSv/41OeCA4vEb35icdFJy113roN4AwEanpSX5zW/6H3/zm8mnP92fLXfLLcm11654XwAAAAAAAAAAgA3RWge/7b///rnkkkty2mmnZerUqcttnzVrVi655JK89KUvfVEVBNhs9U6Y6WxIutqSytqVFh0Y7raqbb2TZy558JJc8uAlg8rNbZqb7UaPHViBNa/zOnDnzP6wt0fnP5qGtoaMrh09LHUB2CAsvDNZdE+ScjJ6t2TiQUlFdbJwwCzHKUeseN+K4nS/q7srTy1+Kkmy/bjts/247ZMkTyx6YrldHpz3YJLkLbu/Jef/8/wsbl2cWY2zMnX08uf8AJuqu+9O5vecRo8fn1xzTX/40cEHJzfemNxzT3/5W28tguL+8IfBx3nta4vAuB13XB+1Blg7Tz6ZfPGLyaWXJt3d/etrapKvfjX57GeHr27Ammtsb0xTR/GhPZNHDQ5+m900O0nS3Nxffn0G1U6b1r88e/bKy7W2Ju95T3/oW0VF8pa3JGPHJjfdNDi4DoAkpYqkbnLS8nzSOnelxepq+9Pe2l/4M4deWFV9/3LrnKR+SlI3Kdnjc8nzf0yWPtS3eU7TnCTJ32f8PVt+c8skyYKWBUn67139/e/9h3v72/tD33rtuWeyxx7roN4AwEbn9tuLD2xJihDxgaFvSfLqVycHHjg8dUsyOFV3YMXWSdouAAAAAAAAAACwKVrr4LdPf/rTedOb3pSXvexl+fSnP53DDjsskydPzpw5c3LjjTfm29/+dhYuXJj/+I//WJf1BdgwdLUn3a1J1ahiQs1QqJnQv9w6Oxm5XTL5tclbZiU3vy2Z3z8DZk2D31ZkXvO8ZNyW/SvKHWtX7xdhduPsPN/wfJJkTO2YLG1bmntm35NDtjtkvdcFYNgtuC25+zPJvL8NXl+7ZXLQBcnie/vXjd17lYea2TAz7V3FbM5BwW8LVx78dtA2B+XXD/46sxtn58G5Dwp+AzYrfxvw1vue9/SHvvWqqemfRHbllcnxx/dPOhvo+uuTO+4Q/AZsuGbOTA49NHn++eW3tbcn114r+A2G3MAJ4SuzBhPFZzXM6lv+f3f8v4ytHZt/Pv/PQdtaWvrL19Wt9qFftIHBbzNnrrzclVf2h7uNHVucU/V+xlBXV3L++Ull5dDVE2CDsrohIvVTXzj4ra4/5XfBgnVQt/oB6aGts5Psm9Rvlez3jaRl5qDgt977Ux3dHcX9qAHmNPaEwg0IfjvyyBU/5eo0mwDABmJF5zFrGYR2yy39y29604rPCaqr1+rQAAAAAAAAAAAAw2Ktg9+OPfbYfOc738lnP/vZfO5znxu0rVwup6qqKv/1X/+VY4899kVXEmB9uPbJa9PU3pRSqZTjdj0upWVHinZ3JE9flEz/f8mCYrJkqkYlkw5JdvtEstXR67ZCI7ftX26ZWQS/VdYm9VOSitq+TeVyeZXBbwuai9k7zR3NaepoWmm5uU1zk4oD+le0L1n7uq9MuZx0LE3KXUnNFsuNxr1z5p1Jku3GbpfdJu6Wq5+4OnfMvEPwG7D5WfJgcv1rk84VvG+3zU0W3pm0L+pZUUpG7lAsti8utvWqnZhssW+eWFQEvNVV1WXKqCl9wW9PLX4qXd1dqawoZsy3dbbl8QWPJ0n2mLhHdp+4e2Y3zs4Dcx/IkTutZLYlwIZgdWd+r+aksoHBb6961crLLVyYvPe9/aFve+2V/Md/JBMnJnfemfzwh6tXLdax7q6kvSfFoHbi0IV1wybgU5/qD32bMiX58peTV7+6CGT6v/9bR4EgwHo1q7E/+O1Hd/5ohdsGhqZ1d2e92Wab/uX77195uWuu6V8+/fT+0LekqPt//MdaZwUAbLrqtyq+Nz+bdLYkVfXLFdlibFff8jPPrIPnHDEg0bNl9iqLruqDiXq33XNP/7r9938xFQMANjV33NG/PLCPCAAAAAAAAAAAsLFa6+C3JPnEJz6RN73pTbnwwgtzzz33ZOnSpRkzZkz233//nHjiidlxxx3XVT0B1trB/9/BuXfOvUmSa065Jgdtc9ByZRa1LMoxFx6TrnIx6eX+j9yfvbfcu79Ad2fyt7ckM/80eMfOxmTWn5Pu9nUf/DZiQPBb8/MrLdbc0ZzWztaVbp/fUoTCzWuat8qnm9c0L6keM+DAz/Yv7316MuWI5N4vrLrOK63kzOTx7ydP/1/S/FyxrmpUsuVhyV6nJRNfmSS5c1YRVrTvlH2z24Qi+K13HbBqjY3Jn/+c3Htv0tpahDa86lXJQQclFbJONj53f6Y/9G2nDyZ7fimpm5IsuT95/AdFwFFnc7G9si7pCW7L4vuTG47oP87WxyWH/j5PLCyC37Ybu11KpVJf8Ft7V3tmNszMtLHFJM1HFzyarnJXSill1wm7ZvcJu+fGp2/Mg/MeXGE1WztbU+6ZbV9fvfxkUoCN1cAJ8Pvuu/Jyv/99fyjSy16W3HxzUtuT0fymNyWf+EQyb9Wn4axLjU8mj56fPHNx0tYTjl05ouh37HN2MuHlw1s/2MA0NCRXXFEs19Qk11+f7LFH8fglL0mOOSZ57LFhqx6wlmY1zFrpttmNs9Nd7s6IEf0XChob10etCtMG5APdeuuKy8yYkVx7bf/j445bcbnVzf0F2GzUTy2+l7uSxfclE1+xXJEdt29LqVSEZ86YUYR/vqhrxyMGJHo2PbnKonOa5qx029zmIvht6dL+ddtt9yLqBawfq3NCNiCtt6Ulufrq5Pbbk6amZNKk5MADk8MOS6qrh7CewBorl8v52s1fS2d3Z+qq6vLZV312+Q9OXM8WLepf3nnn4avHhurJJ5PLLksefrj4oJpttkkOPTQ58sik6kWNDgUAAAAAAAAAAIbKix7as8MOO+SMM85YF3UBWOdmNszMLTNu6Xv8h0f/sMLgt6ufuLov9C1J/vT4nwYHvz3+/f7Qt/EvT/Y6PRm3dxFi9txvk8Yn1n3lRw4Iflt0d7Lt21dYbH7z/FUepnf7vOZVJ07MbZqbVNUn9VsnLc8PDn7b8rCkaszaBb81PJ5ce0jS2jOpp1SVVI1MOpYkM69MxuyxXPDbfpP3y24Tdxu0Dlix1tbkc59LfvrTYtLMsv7t35Lvf3/914sXoWNpMrtnlvvUNyQv/3H/BKoJBxZfnU3JbR8u1pW7X/CQTy4qJl72Br5NHT011RXV6ejuyBOLnugLfntw7oN95eqr67P7xN2TJA/MfWC5Y7Z0tGTL/9oyje1FSsDTn3g6241b8YzMpUuTW24pwpHq6pJddkn23juprHzhHwfAahkwiTRJ//vmsutX08AAlPHjV17u97/vX/7Sl/pD3wbuu6r9WYcW3ZNc95qkY3HxuKK26He0LyzCuie+sj/4rXlm8uyvkueuKPp0pcpk1A5Fv2enf0nqJg3Ti4DV1NmcPPubZMZvilCP7vYiJHjCy5Md39/Xx34hV1+dtLcXy8ce2x/6NtCuu67DegMrNvB8ZeBE+rU8j5ndOHul2zq7O7OwZWHGjJnYt+6pp9bqadbKNgPygR5/PHn00WS33frXPfhgEUL5RM+l1nHjvA8BrLb6rfqXZ/9lhcFvdXXlTJuWPPtscR74/PODQznX2IgBOy+4bZVF5zbNXem2OY3F/aPWAZ9xtGz/Gth4dXYmZ5+d/Pd/rzh0+E1vSn73u/VeLWAV7px1Z067/rS+x8fuemz2nLTnMNYoaW7uX66rG756bGjmzElOPTW56qrlt33968lppyVf/ep6rxYAAAAAAAAAALAafKYjsEn742N/TJLUVdWltbM1f3jsDznndecsV+5P04tQt61Hb53nG57PlY9fmc+9+nP9BZ7+RfG9fmry2uuT6lHF41E7JlseWky6XgszlszoC6bbdcKueelWL+3fOGJA8Nuc65IsX+8kWdCyYJXP0Rv8tqpJNUkyt7ln++idi+C3hunFBNMX+8nNt/9bEfpWqkj2PS/Z+UNJ9ZikbX4y47JignqPO2bekSTZb0p/8Nuj8x9NQ1tDRteOfnH1gPWp3J20Lyr+vmu2SCqHbvT5Kackl15aLG+zTfK+9yU77VQM8v7Tn1Y8iYYN3OxrknJnsbztu1f8Plw1MqkaUSx3tyWdLUV450o8saiYNX/D0zdky29umSTp6O4oti18Iodvf3iS5MF5RfBbb+Bb7/eH5j2Ucrmc0oC6XP3E1X2hb0ly+cOX51Ov/NSg57399iII6cYbi8ldA02eXEzqnzBhpdUGGDYDgym7ulZe7qabiu+lUnL44UNaJV7IbR8sQt8qapIDvpdsf0rRNrYtKAKyKntSA2Zdk9z8tqSzoXhcOaLYp3F60QaP2jnZ7p3D9jLgBbXMTm44IllSnLelojapnZAsfThZfG8RIryawW9//3v/svcw2PiUy0VoT1XV4HOXWY2zVrnfrIZZ2WOP/uC3Rx8dqhoub9lwoTPPTH75y+JcqqurCK9/4xv7t0+a9OIvTQJsNuqn9i9P/3Gy678nNeOWK7bLLkXwW5L89a/JSScN3l4uF18VFavxnNVjk6pRSWdjMvempKMhqV7+Xk5HV0cWtixc6WF671+NGNG/rqUlGTlyNeoADJ/VDDD+9KeT7363WJ40qbiPtffexQfFXHPNij/UCBheVzxyxaDHv334t8Me/FY/4DZoW9vw1OH554vraYsWJTU1yfbbJy9/+fCds3R2Jkcfndx7b/H4gAOSD36w6HvPmJH89rervr8BAAAAAAAAAAAMr7UOfvv2t7+dc889N/fdd1+mTp263PaZM2dm3333zRlnnJF///d/f1GVBFhbf3jsD0mST7ziE/mvv/9X7p97f55Z/Ey2G7ddX5nucnf+/PifkyRfec1X8oHffyC3PHtLFrcuzri6cUnTjGThnUXhaW/rD30bqGrE8utWw7l/Ozf/787/lyTZe8u9c9+/3tcfqlO3ZRFA0N2eLPhnsuD2ZMLLlztGb7Bbklzxziv69r/p6Zvy7Vu/vVzwWymlTBjRn7LT2N6Y1s7WzGuaV6wYtXMxQadtXjGRfNzea/XakiTNz/eE1iXZ6UPJHp/u31Y7Mdn5w30PZzfOzsyGmUmK4LdpY6f1BfbdPfvuHLrdoWtVhSseuSJPLCwCj07Y64RMGzvtBfaAF2H+P5LH/qcIDWmb179+1I7Jzv+a7PHZdfp0997bH/q2yy7Jbbcl48b1b//c55LZs9fpU7I+NEzvX55wYPG9szl56oL+9dXjkvqtB+zzaLLFfsn4lyXHPpbc9uFk7g19m3uD39q72jOvecDfZpInFz3Zt/zA3AeSJJNHTc5Ti55KfXUxi6KhvSEzls7ItmP7Q0kvfbj449txix3z5KInc+nDlw4KfrvxxmKyQXt7EULwgQ8kBx1UTIS4//7k178evokZAC9k9IB56rNmFWGVy+ruLiZ4JcnYsckWW6zGgTsak3k3J0sfSrpai0DkUTsXIU01Y9dJ3TdLSx7u77Pt9qlk53/p31Y7IdnlX4vlzubk7+8sQt9GbJMc+NNk8hFJRWURpjXjsqR+yvqvP/RqmZM8+dOiP7H4/uJ9omaLZMxuxfWIXf4tuesTRV+9VJG89L+THd5XXKfoai/68o3TlzvsrFnJQw8lzc3FRNSddkq23TZZvLi/zDbbrLdXCRu/1U0iWybwYl1YsCD50Y+S669P/vGP4v91kmy9dfKqVyU//OFqBL81zspBe+/T9/ihh5KOjqS6ep1XdzmTJhXvN889Vzz+9a+LfuLrX5985StFANGb3tRfftkAcQBWYeyAezktzye3fyTZ/5vJMxcPKrbLLsl1PbdtfvWr5YPfLrggefvbB/eLV6pUKj7EaOlDSVdL8vB5yUv+c7liA+9jrUjv/auB/erHH08mTlzJDsDQWp3z3dU81505M/nBD4rlLbdM7r47GTi86JOfLD7ICNiw/PaR3yZJjt312PzxsT/mikevyGmHnjasdRo74PL5U08l++67/p77N78pgssffnj5bbW1yZNPDn5vW1/++Mf+0LfDDy/CNKsGjAT9139NlixZ//UCAAAAAAAAAABWz1oHv/3mN7/JS17ykhWGviXJ1KlTs99+++VXv/qV4DdgWDR3NOfaJ69Nkrxzr3fm5mdvzi0zbskfHvtDPnbgx/rK3THzjsxrnpf6qvqctM9J+drNX8v0hdNz9RNX54S9Tkian+k/6BYv7V++61NFsFmvA3+c1IxLR0dyyy3J7bcXAz+bm5O6umJS9UEHJW94Q1G8qb0pF91/UZJkVM2oPDD3gfzz+X/moG0OKgqUKpKxeyWL7i4e3/z25Iibk5STpv6Qnt4JM+PqxuXNu7+5b31lqTLfvvXbWdC8IN3l7r5gtz0n7ZkH/u2BvnJf/etXc8YNZ/RNrMnonftf0xM/Tg747mr/zJcz+5qivkmyzVuL7+Vy0vxsf5lSZTJim9w5swhqGF0zOtuMKWac7zVpr9w5687cOfPOtQp+W9y6OCdffnKaOpqSJM8seSbfff2LeD2wKs/8Kvn7iUnKyejdkl0/ntRPTdoXFeGN82/tL7vo3uS5y5N5f09ankvK3UWgw+jdkh1PTSa/pq9oS0sxYPupp4qQrFGjku22S17ykuT/+//6D/mxjw0Ofes1RXbJxqerpX+5oqb43tGQ3PHR/vWjd0v2O6//8ZIHi+C3qvpk9C7LhZQODHdbVm8oXJI8OO/BJMkF91yQC+65YFC5B+Y+0Bf81tbZlt8/+vskyfnHnJ83/fJN+fuMv+f5pc9n6zFbp1xOPv/5IvQtSa68sgiBG+jcc1dapfWrY2kRrNLZWPy866Yko3ZKKmuG7CnL5WLC20MPJY2NRRje1KnJ7rsn9fVD9rTAGthzz+SOO4rlu+5K9ttv+TKlUlJRkXR1rUYoSWdLcvenkyd+kpQ7i3PgusnFe0/H0mKC/hvuX9cvY/Mx++r+5W2OL753dw3uy5Wqi1Dq9p60vgP+J9lqQONUPyXZdUBbC+vbgjuSG48q/karRifT3lqEaHQ2FMGGT/5/ybS3J88VE2+z/XuKPkevyppkqyOTHJmk6Ed8/evJL35R9CWW9fKXJy8dcImj97wNNmmL7k2euyKZ//ciEKdcTmrHJ2N2T3Y4NZn06uGu4Srde29y5JHJvHnFechb3pIccEBx3XH69ORPf0rmz09mNRTBb5NGTMqUUf0XBR6Z/0g6ujsyq2FWxuyU7LBD8f6wdGly9dXJG984+PmefDLZccd1+xpKpeTQQ5OLB2QQfepTxVevuroiPLyrK3n++aS1tVjH8GlpSW69tbje/cQT/dendtwxOeyw4u8Q2ABssX//hwklybO/Kr6Wsdtu/ctXXplcfnny1p7bN/fck3ziE0Xw22obf0AR/JYkD361+NCfuik994cKc5r6U51u/cCtmTRyUpLk9udvz7sue1ca2hvS0tGSl72sPrfdVpS7++7kla984af/y/S/ZGnb0iTJcbsdl7qqFTca3d3JjBlFu1dVVVw3X60A9xV4evHTfR8otdP4nXLUTkctV2b+/OSGG4oPa3n66eK9c8yYIoT5mGNW77XBsBkY6jYwBG4tgo1/8Yv+62annrriYKQVfeBCV1cRVt7RUYQ9bVTXzduXJPP+WtwbbJmdpFy8N47eLdnqmGTEMKRDwRp4bMFjeWjeQ8V4k6O+nSsfuzJ3zLwjM5bMGPwhe+2LkplXFX3s5meS7s6kZlzxQSdbH9v/4VbryEtfmvzud8XyXXcVfeL14Wc/S97//mJ5xx2TM85IXvayIvDtkUeS3/52SHLfV8vPf96//IlPDA596zUwMA8AAAAAAAAAANiwrHXw22OPPZaTlv0I8GXstddeueiii9b2KQBelOuevC6tna3ZcuSW2XfKvjl6p6NXGPx25WNXJkkO2/6w1FbV5sgdj8z0hdPzp8f/VAS/DdTV2r8866pk6SP9jw/4bm64oRi0/uyzxaDKo44qJlF2dxeT437842T27KL4JQ9ekob2hhyw1QE5eNuDc/4//3/27js8qjJ74Ph3Wia9V0gg9CodpIkKKthQsddd17WsvdfV3bWXtfeuP3tZUVFEBESk9yK9hkB6r1Pv/f1xZjIJJBAQBPV8noeHycydO3fu3PKW8573Wd5Y+kYo8RtA6rGhxG912+Hrdrt9z2Dit8SIxCbPJ0UmySabfipdlQ2J3ZIjk5ssF/y7IfFbfJ/Qixueh7gjoNPfoaqZ6Yv3xlMRehweiNo3PPB1dqPn0+GMfBbnSWaNak81YQ82TbazJH/Jvn828PqS16n11tI3rS8rClfw1rK3uP/Y+4kPj9+v9SnVIr8blt0KmBLEPubn3ZNGGYGRLasfgZV3y+O00dDhLxCWCO4SKFsMBdMg7ViWL5fEWdOnywCXjAz553LJ4OuBA5sGag8a1LpNNXeJPLc0HrSjDg+ORj+sKx+is8Fqg9ie4CoAT5m8ltA/tFzu/yC7+bJ5hauCsvqyFj8umPit3lvP5rLNLS63umg1J3WR7KXTtkyjyl1FenQ6J3U5iWFZw5ibO5cv1n7BdUdex9q1NAzS7NNn96RvAA5Hix918JmmJGtc+6gkfbNY5T5lsUJ9PlgdcNJa2fcHUFUVPPigDHYrKJBBIW3bSuKoHTukvFBcLINAlVKH1qhR8H//J49nzAgN7GrMYpHBqrm5ksRx2zbIzm5hhctvg00vy3Vm0MvQ8VKwOeV6VJsjA0HV/vNWhh6Hp8r/njKY1Cn0fExXSBkpjy1WGWgLksw756PQctEdJeGWUr8l04Sl18uA2Yi2MHaxJCNszFMJxbPB8MrfbU4Kvbb+WfDVhVbX/XbGj7cxTXLhc8UVcM010j7h9Ury2XnzJPlE0IoVcO65e9/UkhLIyYHSUkl0HxMjiak7dpQyjVKHrV8egFX3yeO00dD+AknA7ioK1MV/aH3it11HdAfr1QdxpLdpwj/+IfUFkCRv48Y1XcbvlzpFwQxpfLxl2C3cMfKOhtf7vdKPFYUrKKiR1/v0CSWG/Oc/YcSIUEL5DRvg8svhp58O/Hc5+uimid92ZbXCkUfC3LmSlHLJEtm2353WtrccqgwBSKLjL76ABQvk2Covl8TkbdtKQqLHHpPf6oYb5PofEQFjxkgZuLoaPvpIkhz8/PMh+wpqTwyflC18NWCLlIQzVtuh3ip1MNmc0l64l/rlcceFHpsmnH8+3H471NbCq69KGW+fpB4N294L/b30xt0Waeh/AgZkDMBhk4ZBl8/VZJnhw9vz0kvy96RJcPXVu3+czxdKarK8YDnjPgjdEJ8d9yzXHxmakM4w4P33JWHLkiVy7bLbpV2yvl6uZ3PnSnl2X9wx7Q4+Xf0pIJMZbb1ha0OfHMBTT8E990hbfnIynHiilJdra2HmTEmwF0xco9Qf3eZGXQ5768fKzYXnnoNZs2DlSjmHgtLT4a674LCfc3LL27DkBkniHtUekoZBWBxUb5T2J1c+9LrnUG+l+rVME0y/TO7xB+xn/Wqd3KRGthtJl6QuDGk7hAU7F/DV+q9CcTY7voJ5F4eO9fSxUt70VkDhDKjdCsPea/lD9sPIkaHHkyfDf/6z++43jAPbPlVfL/d0kLrSrFlSXwrq0gVOPfXAfd6+2rYt9Lh//xYXa8rwSdu5pyIwIVYK2KMOwtYppZRSSimllFJKKaWUUkoppZRSSiml9ma/E7/V1dURFbXnwJ/w8HBqamr2ed01NTX885//5NNPP6WsrIzu3btz5513ct555+3v5iql/oQmbZgEwNhOY7FarIzrPI77Zt7HzG0zqXZXE+OMAWDypskA9E3ry7aKbfRO7Q3Ad5u+wzANrFHZoZVWbww97vc4FP0E654EoLDQyllnQVkZpKbCnDnQuXPTbaqvDz1+fenrAFzS9xJGZI3g2QXP8vEvH/P02Kcbto3042H9U3v8nsHEb0kRSU2eb/x3SV0JxXUyMjQlKqXJcimR8ndxXTGmaWJJPVYGgvkDo3sWXQFLrgPDzT4LSwg9rt8JCX0BiwywrdkqAb8Be0ru1uQ105TfoXg2uItk8BoW+ayo9pLAISwen+Hj+YXPA/DQ6Id4av5TzNg6gzeXvsktw2/Z9++i1J6ULZJjHCSRWzDp26ZXA8doQPoJsOpeedztRhjw9O7rMk1yc2UgdFWVJHv79FMZ5BwMXvd4YO1aSSAVVF6++6p2Veuppc8rfdhSvgWA+0bdx3+O/c++fVd18CU3SgBaPAeSh8lgiZNXS4LBwH2HyExwpoC7GHZMlERm7QPl5UYDxxsnc7uk7yU4rDKwMqcyh2lbpjW8vrZkLSYtDzhfXby64fHnaz8H4NSup2K1WBnfdTxzc+fy+drPue7I6yhrlGeu3e45Sw+93M9g3gXyuNc90P02GXwFksixdCGExR/QjzQMOOMMSSBlscCTT8JVV0FkpLzu88GiRRAefkA/Vim1n446KvT400/h1luhX7/Qczk5kjRp3Dh4XYr1fPedJGTZjaccNr8mj7P/Al2uksf1BaHE0klHgt+ze+JY1Tq71juiO0gSz/TjoWq9JNEGGZDZIFCwqt0mifmC2pyiid/Ub692G5TMk8cdLgklfdv5DbgKQ8tZGxcUGpXbVj8s9eOASRtvZdo0Sewyfjy88krTgbAjR8q/JUvg3kD1ZPJkeOih5scrm6YkAXnrLUkSFB8vA/bj4yXx5fr1cMop8Oyz+7sDlDrIylfAqn/J4x63Q7/Hdl/mECbfao2NG6XsAVIm2TXpG4DNJv/ya/IBSItOa/J6WnQaFIZeP/nkUNKZ5cvlunDddVLOeeklSGnahHjAnHGGJKP0+Vpe5rjjJBEPwBtv7J74zeORNpPk5N3fe9g4BAkCW8s0JbHfm2/K32edJb99VpYkENy2DZYtg6VL4ZJL5LkjjpDJCXY9LnbtAtyxQ/5VVkpbeGSkJGrp3DlU/1UHkbsE1j0NO7+CyjUQ2RbCkqStv74A2pwMIz7a+3rU71fb8XtN/Narl5yTmzbJ3x5P03bmfZZ+3F4XCSZ+iw+Pb0j6BqH+qeAyI0aEMrBNmSLJKSc0qp5NnixJS6+5Rv6+70dJ6np2z7P5bM1nPPTzQ1zW/zKiwiSG4aabJIkUwKWXStKoTp0kIUxZmfTj7SXcYTcrC1fy6epPiXXGMrrDaL5c9yVPzH2CR497FIBp0+CWQBfUqFHSVrDr9c+9H91tSv1eNT7+99SPtWEDDB4c6hd74w0YPRqSkuS5VavkenVYq1wDCy+X9qfOV8HAF5omXTVNScj6J+P1SjlyxgxpPygvlzKk0ynlxGOOkUTDhzVPJWx5E3ZOksny/PVgi5Df2h4D2RdBn/tDy9cXQv0OaRc2vJJUKyIDorIPfPvvQahffLn+S4CGyaBO6nISC3Yu4Mt1X0riN3cJzP+rJH1rcwocNRGsu4QfBicuOICOPFLqvH6/tGm9+65Myhi0apWUFe64o8VV7LPVqyFfqtCMHNk06dvhIDo69LikZA/JbP1u2Pgy5H4qZcWwZIhoAxhQtwPskXDq1t1/R6WUOlwYXomdKZwh/YCeMjANmVQxMksmSYzreai3UimllFJKKaWUUkoppZRSSimllNpn+x2x0759e+YGR960YN68eWRmZu7zuidMmMCiRYt49NFH6dq1Kx9++CHnn38+hmFwwQUX7O8mqz+YykoJsisrk8BQr1cCh5OToXdvCQJevx5mz5YZoYMBpCAJNTIy4IoroFu3Q/s91MFhmAbfbPgGgPdWvsf7K99vSGbj8XuYunkqZ/Y8k4KaAhbnLQbgsTmP8dic0MDPotoiluQtYXDbwZA4EMqWwLb/gyP+A45oaHsqYGlIwDP5e2dDopsJE3ZP+gYQESH/ry5azbwd87BarJzW7TRSolLoltSN9aXr+eiXj7hi4BWyYPpxEnBZn9fid21I/BbZNPFbYkRik2WCA2uSI5qOiEyOlL9dPhc1nhpJOpd5BuR80GiH7ucolPTjkYQKJmz/HNqcJMHMo6fDLw/AqvsaFt1T4rf1JeslWZ+vHGaNh4oVkDAAsi+GpKESgOougbKlEH8EhMXzvzX/I7cql+z4bMZ1Hke9r54ZW2fw3MLnuGHoDdg1aFUdUI2mDjeN0OOt78kAAE/g4mBxhBKOZJ0ZWN6EH4aH3uOI5eUfvqeqSv689damM5iDzCjet68M9P5c8m/x+ecyaHtP/jnjn2wp38JZPc9ixtYZPDz7Yc7seSZ90vrs29dV+237dnjvPZg/XwYyJSfLvcFqlUHvFgtM/2GIDMr1lMKG56HT5aGkZI1ZLNDuXNj4gvw993zY8rbMzp4/pWGxzeWS2C3SEck7p72DJTDYfP6O+UzbMo1yVznl9eWsLpLEbrHOWG4eenPD++ftmMf3m7/nl6JfAPD6vXy1TrIDLM1fynmfn0dhrSQk+TnnZwpqCujUKb1h8MWiRVJOc4TGdB56ax+X/2O6QJ/AyNayJVAwPbSMxQIpI6E2F0rmyrnsrQJfrSQTcsRJ8r0uzWV52t2cOTKwCWTA2s03N33dbodhw37l92qBxyPl4WXLoLAQqqtlgGl4uAzaHzFCBsz88IMMwFqyRAbTxcXJ72aacnxefz2ceurB2UalDjdduki98pdf5Bp21FGSHKlXL0l69PTTMpD7tNNCid/+8x9JUtKlS2g9P/4IUWYpQ4ID3aIajbyaewEU/Rj6e9wySOh30L/bH1JGo+w32z+T63dYPBw7FZbdBuv+K6/F9wPelfJa2SJIGQHxfeGERbDsZij+uclqi4rk+llSItdOj0fu20lJ0L//YZrc9HfG55PyUVWVtNmYpgxYTEuTwb9W697X8YfQOCmhtVGhacNzkvTcH8gif8z3NNSxS+ZDu3Pk+dHTJBFwILHVhg2h7G19+zafzA1gwABo0wby8mDFCnjsMbj99tB+z8+Hjz+Wx8Gyy5VXwvPP7162a5zoXqnDTtFMGpIlZp0l//vdMGN0aBlnMoz66oB/dGUlLFwo95PSUrmfeL2SZCY1VZIm9up14D7P4/c0tBWmRe2S+C3wdzDx23nnybkdbDNfvVqSUwcdrMRvKSlSr5g4seVlTjoJ7g/kTXjnHblW3XOP3IcXLpRy2P33S91K7btvvgklfTv9dEl03PheMWQInHOO7Gd/4BZ15ZXNHxPR0eByye/z+eeQmytl4n79pE5ZXy/JBDt3hn/9C3buhJ9/lmSDxcVyTvj9Uj9NS4Nzz4Ujh7Zw42qsUYKLsvoynp3/rEziYrFy49AbSYhI2MOb/6D8LphxPFQsh7gj4JT10u4RZPhCCZHVH1e7s2HlPc2/ZrFCWCIWiyQtDyYn+9Wi2kPqMYH7bXOfa2non2qc6A2kH8uCBROTotoiBnWBoUOl7RTgzDMloUuPHpIA9csv4fFAs978HfOZtGES8eHxvDH+Dcpd5UzbMo0XFr7AHSPvYNu2UNK3Ll3kutf4WpeYuH/tXP+aKWXuawdfy4V9LuTLdV/y/MLnuWnoTaRFp/FRo9yKV1zRfNJLp3PfP1ep36tx40JJwj/7TM6L5tx1Fw39Yq+9JuXkoORkOPbYffzglirCjR3ohFk7Jobq912vl6RvnkpY3KgPITwDBjx5YD+3kbIyqKiA2lppcwnGzyQmtm6X7A+v30tBTQEA4fbwJpPQFRdLYrc1a2QbHnhAfsvkZKkX5eZK0uBDzlcvSWR8NVKmsjrAER9IjGXC9FFQsVLaEY+eDAn9QzvUVQT1gcxgG16AjS9C9SbIOAFie0rSN2+VJP1PHr7/CaJ/o0TSBTUFzMuVrOMvLXqJ91a+R6WrEoCZ22ZSXl9OQuls8FbIGzr8JZQsbO6F8l2DjvqyafLDXykqSu7dX34pf196qbS/Dx0q7VrvvCP1lgMpJib0uKTkwK77QDjxRImJA7nGDhzYwoJLroPNr0vf5rHTIfXopsdUbQ5YDtxvpZRSB1R9Icw4BqrWQeJgmWQzthvYwiXJatX6pvcfpZRSTSzNX9oQ89c9uTtD2g45xFuklFJKKaX2VUGBxC2vWydxSME4n5gYGRt7/vkSc/H997BggYylrasLTSAJEnfz3HOH2XgOpZRSSimllFJKAb8i8dspp5zC008/zVtvvcXf/va33V5/4403mD17Njfs49SskydP5ocffmhI9gZw7LHHkpOTw2233ca5556LzabBRn9m06bJDO2//CLJMS68ELKzZdBXXZ00ZAF89BG8+qo8fvhhuPFGyMqSpBp1dbBtmww8Ouz53VCzRQLtgoGmAPYICTZNOlKSkKkmluYvbRjECDQkfQuatGESZ/Y8kymbQolxbI0CGf2BoOxvN34rid+yL5GEMO4S+HEM9LoXYrpKArKA7t18DY9XrpQBay1drt5Y+gYgCeqyn81u8trrS18PJX6z2qHLtbDy7uZX1O5cSnZKgrbGid4A4sPjGwbMNEn8Ftl84jeA4rpiSfzW846mid8as9ghrJUD5yLbSPK3gqmw7V0JvOp8FThiwVvdsFh+dT551ZLcbvals+mb3heAWk8tGU9mYGKyrGAZo7Y/I/vcHgPHzwWbU2ZP3/6ZrMgeJedLXC+env80AD7Dx/iPx+P1S7KN7ZXbmbh2Imf3Ort130Gp1kgaLAPcanNgy1vQ6e8SZHj8bMidCLMnyHKxjbKNli6WpCQAna+EvG8h93MISyQ9PbTYngY8nH++JGYoK5NZzXv2lEHaMTEyoOOnnyS52D/+AfNy5/HsgmdJikjilZNf4X9r/8eV31zJ3776G/P/Pr8hGWJwoEVurnQKuVxgGNIZFBcHffpAfPyB3X1/FuvWwfDhkoy2Z0/pXMvObrpMXR0yCKLjpZKkpm47fNcbOv8DwhKh8Memb+h2I2x5I1Q+KJi62+duKd8CQIf4Dg1J34J/N15mdbEkfuuT1od/HfOvhte+WPsF32/+nrUlazFMgx+3/Ui5qxyQpJ2NE3eamExcO5F/DP4H558P778vicZuvx0eeUSOI5AxBAsWSIKDxoMmfjOOePnfVyOzQ1sdMgCrZjNsex/8ddD7PtjxNax7QhLx9f+vJAgKS5SEQe4SqNnU6o9MbHSbLi7eczlhn3mrA+XEetm5Nqfca+0xfD/VwkUXyYCUY46RQb3du8sAGbdbEr0AXHstvPSSPH78cfk7mLAW5JpSW7uP2+Wrh9ot4CqWbTO8UraxR8mAqcYD0JU6zFgskgApmFS1pgbuuGP35U44QZJaLF8u17tevWRgekqKBFrMmwefftyeIdEdpZyaNwl63S3XnWHvQ9lC+PmM3/Kr/THFdJGE0KXzYeNLEN0ROv5Nrje+UL2DDhfBijvA8Mhgt1GTILItJA1qUsf56ScpU61bJ4kx//53SVYSFSXJS/LyYONG+fvdd+X3z82VZeLj5fpumpIo7swzd0/iq+CDD+CZZ6TuPGqUJIhJS5M2m6oqSQZ3xRXQseOh3tLfSHQniO8jg4hzPobut0lbz7FTJcHbD4HssBFtJEF8wQ9yrGecKH/HHyGJ0AOOPcbEYpHj8Jtv4O67Q+WwxiwWuPNOSe4KMtD+44+lvW3nTkkKO2qU1BGCLr64+QCwxuWG372q9dIGVLNJ2uVs4TL41TQCyZfPg5hOh3or1b6Ia5RZrWyJ1OEtNqm77/gKdn4FERm7v+9XDqx/8UUpf7vdcMklcPnlcl2LiJCydW5u6+sEXRolwlm+XM7P449vuoxhwI6Kwoa/06PTm7zekPitWtpMY2IkEddtt+3X1/tV7rtPrk+Nry8gu7x/f7n/nnYafBXIxffww/DEE3L9qav77bf398jlkvKpyyXHoMUix15CggQCB8XHt5wEpGvX0ONVq1r+rBtukAQtAG+8AZdd1vxyTz4p7QOGIQkZbrpJyk9Op5SxduyQskCTc67xxjVzLtZ6ajn5w5OZv2M+f+v3N95a/hbTtk5j6kVTiQqLanmjfwN+v3ynrVulfONyyTEfFgaxsTIp0a7tQr9K1TpJ+gbQ4eJQnXvOedKGHnTMZElkr34T60rWNfR9tI9rT6fEg1yGiOkiE/vsaCa7ZuerIVraA6+8Uq6rBQXNr2afkwN1u7HlxG9drqFwvUzA1DgZEIDNaiMpMomSuhIKawuxWODRRyUpUPCUf+ed5ld774/3AjAiawSzcmYxuM1gpm2ZxmNzHuOqQVfhdMZht0ubVn29/P9rBzIsyVvCl+u+BCAzNpO1xWvpkdyDtSVreWzOYzw19il69gwtv2yZ9GPvzdzcuRTWyD28Z0pPuiXrrGXqj+OEE6Qsu3GjxHnceadMeJScLGWCBQskKWzjcvGuZcT9sg/lCXnabOhLt1qsu12vgiauncgHq6QPPdIRySNjHqFtbFt5MSrU50L1eojrIe3h8X0h7xtJ7B7Tbb8Sv9XVScJcl0uuZ2FhUp6PjZXJdx54QP5PSpLEWJmZUsaqrZV2rJNO2o/kea1Q761nwqcTmLJpCtnx2eys2smnZ3/K6d1PByRx/JpAMeT22+Hqq5u+v00bKfs35vK5qPdKdvlIRyROe6NsmaYpbScVKyWRmumTSbcsNkm6Z4uQeh6m1PUqVoK7WOp71jDAIu8xvND/Cdj8Bqx/DupyZKKluN7giJGEue5imRwvJZD0DSShX+IAeTz7HHA1upF2vkraGwGGfwztzwXDD9sDGfUTB0r7wmHu6/VfN8TW5FTmNHnNb/r5duO3XNSuX+jJyl+AQIL1YCLYnA8DLx74JHX33w+TJ0u7K8D//Z/8O1i6doWjj5b24pUrJdn1WWc1Xaa2VuoxhyKx62WXyT5xu+Gpp2Sikr/8RdqtXS6pd9fUwF+jAsdhylGQdow8XvMYbG208/o8CFnaV6H+YA5Q0syl+Uu5a/pdGKaBYRrcOuxWTuxy4m7LFdcW8+3GbwGJQTyr51lEOH5nDefeaklo6q+X+6DFJvfXsESISN/7+/dVayqfS2+TNg+AoyZKv15dHqx5KLSMpwKSh8pj05TJOX21oTgaW7gkv3TEHrxsuEopdRiavX02Y98fS2pUKk6bk20V25h0/iSO73T83t+slFKHCaPRZOxWy59l9killBJer8RQvvOOtEH+618SS5OeLv0qlZWwZYvE+U2YIOOG2rSR5UeNCrVZ+nyweXNoMtjiYnlfSYn0o7rdsr7oaEkk1+IEE0oppZRSSimllDoo9jvx2x133MHHH3/M5Zdfzvvvv8/xxx9P27Zt2blzJ1OnTmXWrFm0adOGu+66a5/WO3HiRKKjozn77KYJeS699FIuuOACFixYwPDhw1u/wsq1UFcriRDskYGAPxMwZaB16qh92j51EHnKoXCmDIa32iGirQRfWqyAKcGVKSP4179S+UUmn+KZZ2BIM5NPGQYE8xHa7RJ416FRnG1kJE0C7w9b656CVf+SINUhb0owqK9WAktdRVDxS2DwqVUSk9TvkMDhiAxJzmWxyKBUwwftzmbNeiezZ8tgo+hoCfpzOkONdz6fJKTJaGac4+/NNxu+AWBQm0H8+JdQkpxPV3/KZV9fxuSNk/Eb/oaAq7/0/QvvnP5Ow3L/mfkf/v3Tv5m8cTL/Pubf0OVqKPge8iZD6UKYdepunznsSC/XXScBzHPnSgB1cKC6YUhA+5w58MTTLv5vpQRQXtTnIrJiswDwG37+O++/LM5bzPKC5fRL7ycr7nGbJIQqmdP0A3v9EzJPo6ROpklPikhq8rLNaiM+PJ5yVzkldSUU1xUDuw+saZz4rai2iI4JHWXQ+OBXYdFVNAnItdjgyLf3bYDz4Jdh2lFQnwcr7pR/VocEVAcEkwbZrXYGtRnUEMAdHRZN58TObCzbyJK8JYxKGSUDlnzVkD8F2p4qyXiSh0kgdfUG6PR35pspLNi5AIfVwcAMaXV2WB0MyBjA0vylPD3/6cMi8ZtpygBAn0/+t1pl4JF9P+7O+dX5vL70dbx+Ly6fi/bx7flb/78R6Yg88BsO4PeEkvn4akPXa4tFgtidSZDQ9+B89m/JNGDdk3K8mQZkjAVninxnwxMaRNDlHzDgGZh9FpQvg297yACBiAwobnTuJg+F9hdIwPuKO2VAQNpoGYReNKthsauukoQL8+bJvc405V7Wpo0Eaa9bBzk5ktT000/hjDNkwMftt8O990rSjOJi6Yi55BK49HIXl319GSYmftPPce8d19AZviR/CU/OfZLbR9zBFVfAhx/KZzz3nCR8SE6WY7K+PtS5cygSv9XWyozl69dLJ1W7dpKILjgYyDAksdZRR/3229ZaLpf8AymLNJeAtiFhxhH/lkFApfOhbgesvKfpgtYw+T+mEwx8Hhb9QwarNFnGAe3OZ/PKGQBkx2c3eTk1KpVwezgun4vN5ZsbZvfskdyjyXLdk7sDUOetY1vFNj5f8zkAx3U8jgePfbBhuVeXvMrby9/m87Wf84/B/+Dxx2HpUhnU88wzckz37y8Dkn75RToQd+48RInf+j4SuDflw6zx0P1WSbjS807Y8aUkfjNNyP1Ulo/tDtkXyj7d9oEkW8n5CABzyDtMWXc+P/8sZazu3eX4DAujIeGKzycD3O68UwavrlwJ48dLkpXOneU43rZNBo7cdpscH3tVPBdW3SeJK9qfL4M17FGSLNDvkmDm5BF89tnJlJTIWy65BE45pelqgoPMH3449FyXLrsnb7HbZRAZO7+R8pCnFBKHQHiqlA+CA6sA2o6X62HhD7JdPe6UgcWVa6CuELyVso3db5JtVuowddJJ8OCDkpjEMHZ/PTpaym6ffw6jR0uiKq9XrneNmRaHlBN+niDn7NSh0OEvMjAhOGjwD8psNJjG8isGUnj8Ht5a9hZzc+eSEZ1BaX0pl/W/jGFZw0ILHfkGTD9WBmUuvVH+WexN74/OZBjwLCy+WspsX7eDhIFyDStf1rDY00+Hksrfe28oAeCuevUKDV5dt06Sd6i9Ky2FSy+V8yU1VQYgHoqBkYcVi0WuEzNPlHrt5F5S9ojM2v06MeBZmH60HOszT5AyTEQbSVYWMHCgyV13yf192TIYPFgSGHboIPt99WpYsQL+9z+45hp5/Oab8t4VK+RfY//8pwzE9/kkidWzz8o6rVa5PubkSBm9X7+Dupd+G6sfCSTft8CYmZA8QuptOwPZp/xu+U008dvvS9qYUBKcZTdD/U5IPVoG9RfOOGgf+/HHEhwJUs8f1ui2lZAgyRhay2KRRM0nnCB187FjJWhz0CBJ7LhpE3z7LTzxQSjxQFp0WpN1BP8uqAktc8MN0mYZTNrV2OjRrd++fdWvHzz0kLRjNHb77ZLgDuCtt2Qbgtckr7dpEpDWJs2rrpbvt2iRtC2MHBkKgg1ex0xTElv+3pWXw3XXwYzAYX3bbVJHjYmRY6igQJIHnn66JP748UdJYtu2rSQmysyU/bF1KyxZIveOTz+V9b36qiRXOPdcaZ+qr4e1ayWBYY9GzQhLl8q6dk04WlcnCfCD5eqzzoLevUOvR0Y2TTTXGm6fmwmfTmD+jvmc0vUULuxzIQW1BUzeOJmzPjuLr877ijBb2D7vx33SwiDyF1+Ef/9bztfrroOLLpJ+F6dTjuOystD1obW8fi8vLXqJV5a8woisEczNncu4zuO47+j7iA+Pl/bF5BHSj7D5dbnOJQ6W9vzCGTBLGgS8bg9ffydlhNJSOUbS0kLnRLDN+txzf/3u+aPKq87joVkPkV+TT0J4AjXeGu4ccSf9M/o3LOMzfDw460EenPUg5x9xPrWeWr7d+C0Pj36Ym4bd1DA4yTRNvl7/NQ/MeoBOiZ3YVrGN9nHteey4x+iQ0KGlTdizgc9BwbSmSbATB0l7WEBUFEyaJNeC4IzwQXfdJfXdfZJ5mkygtG2XzCvdboJ2Z1O0bDKw+8REwecaT1509NGhRJE+326Lk5gIM7fNZNqWaditdpYXLOeqb66S7+WIotxVzlPznuI/x/6Hhx+W9ezYIXX8W2+VYz4sTJ6bOxfOOaf1/aL3zbwPkP64x+Y8BoQmnnp58cvcOvxWrruuDf/7n7TtP/mkJH6cMEHuPXV1kkizvFzaCWs9tdz8/c28tvQ1bhl2C2tL1jJ9y3SeOP4Jrh1y7a+qR/+eGabBwp0LqfXILBTt4trRJSk0gURhISxcKL+hxyP3sYiIUFus3w99+0L79ofqGxy+PB4p+xUVSR0uPFzathpf/4cOPbBt9larlCfGjpXPfewxOTcyMuRcqKmBMWMkeeyMGXJvuvxyWfbYYyWRWVWV9CkYhkxusmSJ/P7V1XJuRUQ0/Q49ekCnfaiyba/czlXfXMXP23/moiMu4u3lb3N699N57sTnSI1KBeR6/eCsB7lv5n2c0f0Mbh9xO2d8cgbTtkzjy/O+ZEjbIdIvuPEluRcvuAxqtkofdttToHzpXrZid598ImWKX36RhPknnSTtKGFhUp6oqJC+iIsvlvIbyEQUWVn7/FH7pdpdzfiPxzNz20xuG34bFx5xIeM/Hs9Zn57Fe2e8x/lHnM8ZZ0g7W02N9D+edJKUAYOXN59P2lQ7dpR9/N7K97jp+5s4IvUIXD4XOZU5vHDiC0zoMUGuifMulsnrwtPh2B8gridUroaSuXIAeCvl7/mXyEQ/ycPg2GkSK5Y/VdpmDbf09RTOlFgI0y+TLw0OzIyz6TVpJ6wMBCW1ORVie0DVWtj0CqQMlz6jwS/J5F+LAhP69f53KAaicrX0l4PE6uz8GnZ8AeFpkHXmb/MD7adggtO/9vsr9466t+H5e3+8lw9XfcjEdRO5qM9FEj+z8SVY/aAkB0ofC0lDJN7rIDriCHj9dUliG+xzbexA92FbLPDCC5J4vaAAzj5b6qmDBknZfv16qeesWHFo7jtpaTLBxkUXyf645hq4+WYpLxUXyzl2553AuVfD2sekXpDzibSRdL8ZulwDnwcu+t6K3/4LQOsTMO1j4i7TNNlcvhmXTw6UjOgMkiKTdltuwY4FvLviXRLCEyiqLWJku5Fc2OdCmTTPNKFwusR7eCvkWhCWIP0JIPEj9ihoIwnADEOudzU1cp32+eTrORxyr0pK0nxT+8s05RzculXKCn6/1FmC8Y7BWJEBA/Zj5XtJEPvlui+58IsL6ZjQkc/O/oxrJ1/LKR+dwjNjn2lSZp+5bSYXfnEhEfYI7hhxB7dOv5XH5z7OJ2d9Qs+UfQ9SNUyDqZunklORg8ViISYshtO6nxaKAfPWyP2vdqvcayIy5D4UjI02/XJdbm2ytuV3Sn3OGgY975Gk4p5ScBVKMjhXIfS6B5xJ+A0/7698n49++YhuSd1YV7qOCd0n8Lf+f8Nh28ds261J1lswA9Y/Kefcljehx+0QFi99rav+DfnfSXtIdAe51lWtk2StCf0Bi7QF++rk+2ROgORdss6qQy6vOo/1JdLH5bA5OLLtkQ3Hkscj9eu1a+X8b9tW2tYbx4pFRkp5Obh8ZWUoYXIwHjMsTGK0Dkl8klKHyMKdCznpg5Pw+D08NPohnDYnF028iNM+Po3vLvyOo7OPPtSbqBpzl8iYJ3cRYA3E01lC40DCEmVCw4Ngbu5c7v3xXmLCYqj11hJhj+CRMY/QK1Um1iovl8T927dL+2abNnLtDZbF/H6Jldm8Gb77TmIge/WS+MPw8KZtAEcddYAnxFEHn2lK8v36nTLWy+psNEYpUO5MHiYTGx5gO6t2cv2U65myaQrju43nf2v+x9WDr+aBYx8gxhmDaUqs1urV0pYYFSX1Antg84zAvH4nnhj6KvX1oYli/H55PSxM3tvcZIpKKbVfcidKHbtuB2SMk/g/0yd1U9MA0wsd/86qTWnMnCn32Ph4uUeGhzcd39mpk8Qng7QFXntt0zbQjAzp+1yxQtYTfG7o0KbxmHa73K8XL5axBGvXwogRkkiuRw+5Dpqm9MeUlx/8XaSUasQITFhk+gJjMu2B8ZnamKyUUkodbB6P9O36fPLPNKXsHBHRtC9SKaV+C/ud+C0lJYUff/yRiy66iJkzZzJz5kwsFkvDoN4hQ4bw/vvvk5LS/Ey4Lfnll1/o0aMH9l2y3vTp06fh9eYSv7ndbtyNRklUVVXJgznnQEKKJBuwJUtwX20OFP8M1jBMRwLr/Q6+3/Q9C3YuwG/6GZA+gAU7FxDjjGFk1kjGdh5Lu7h2Tzh+DQABAABJREFU+/Q91H7ImwIbnoO6XEl0ZQuXxDrly6FohgSstD+PSZPu5ZlnQsH4PXqEArqDjfETJkiH/0svSaKtY4+VYNG0NGkIq62V5e68Ezr2y2VWziwW5y3G7XfTN60vKwpXEG4PZ2DGQEa1H0VWbFvZFtMvATJWB2ANDCAPBppYJPnPgaxYJw+HNifJPsifIondLHYJRNn0ugSlYoAjXvaRrw7i+0mnSt12CT7d9iHYnBg+D2+99TdmzJDOjeuvD3VU2GxSQPH5JPhs0iSZ6aG+XgbyJidLIFqwE8Tlgj59dk8IcjiZtGESACd1PonosFBn0ildZXBTcV0xc3PnMnXzVABO6HRCk/ef0OkE/v3Tv1mUt4jCmkIZGHnUl5LkZcMLULYYMCU4N/UY6HwlhKfx7LPSQfTRRzKY8OyzQ7FIbdpIp+XEtRMpqy8jPjyeN059o8ks1csLlzN181TeWPoGL5z0gjxptcOIj2HB3yTRTFQ29LoXOkl2w5I6yeaya+I3gKTIJMpd5RTXFjcMmtl1YE1iRGLD4+AyAHS+Qo7ppTdJEGPyMBkYlDJyr/u/ieiOMHapBEJvfVuuwYZXGrDTRkOnK1iy+gcAeqb0bDprN9AvvZ8kfstfAkPfg6gs2P6pJGtYfLX8BhardHzH9oD4vjw9/2kAzul1Du9PeL9hXTurdtL+mfbM2zGPBTsWcGTmgQvmMgw5j/x++c2DAyV2lZMjA1vnzpXO73POkSDgyEh5X3VgLNYll7Tuc7dXbufxOY/zwaoPGJgxkAuPuJDiumLeW/keD856kJuG3sTVg68mxnkAI5e8NTDvQgmOj+0uAXNh8RLEXrtNBi9YbHDkW5JcY2+r80pAgN8v16OwMNl3jcdNBjtXD6QaTw0rC1eyqnAVZfVldEvuRl51Hm6fm65JXemX3o/M6HQs3koZKGAJXPtt4XIcV6+H3M9lVtiUEZB5OoxdDBtflsDCtTLwC3sUJB0J6SeAPQaG/h+kHwe5/5PzovFyiQMhfSxhYTBzpgy+/fZb6bB55hlZzGqVgbjBwZdjxsigj3fegc8+k8fbt0uCpqOPlgEfD/z0AGtL1jIscxjvnfFeQ/Dp1vKtnPD+Cfxr5r84vfvpnHBCN4qKpDN81iwJhktMlH0fvMeefHIrB8J5a6TTquIXSQyVNERmz63PkwCA+jywRUlQuXXvRdL582Uw0IYNMotQhw5yHwoLk/Ovrq71v/2h0q+fDEh74w35PsHBR0mBy3dtrdxj58xBjofRM2DrO5IItmYTYJFzLutMOe+COv1dEr8uuAwqV4E9GjJOhCP+BXG92PzT6wB0iG86WNRisZAdn826knVsLtvM6uLVwO6J3zondsZmseE3/awoWMHEdRMBuKD3BU2uox6/h7eXv83MbTMpri0mIyOFxYvh7bclocvMmRLcY7HI73fllXLd/Ne/ZKAWhI6vYGej2y3LnHOOrL+8vpxyVzlOmxO71U6Np4ZYZyyJEYkyW7a3Ro4v0yfXJUsgsNj0SsJKzMA5ORhOXA7rn5UEez8eT0OZzpkKacfJed3pclj/lNQdJveWQdSOOEn8aLFDZCZeawo//CDnTHm5dKDa7XJdt9nkN/UHxvc88ogMCHnvPfnOJ50UGvSenCzHyG23tfKAcsTIuRWeJkmu3cUyoLdmqySMrdsOVet4+eWT6dsXpk+H//xHEh60by8NUG63nDtHHSWD715/XZa77jpJdJSVJd+jvl6Wu+wyk4v6LICyhXKdTxomZYWqNRJ8tv0T2S5HPKQdK9vlq4HiWZIs1F0mgdbbP5EEoW3HS3Kbmi0QngKxPeX3cReDt0ru7bYIaH9eIBm0Ur+9e+6BU0+VweEzZ0q55YgjpD4VTDbeqZMEkb39tiSB3rhRnu/ZU+7DJ58MRJ0KYxfJYLjC6bD0BlnI6pSkM6mjIHIfsr8cxraUb2Hi2on8sOUHyurLGN1hNIvyFuH1exnZbiQTekzgiKSBvPaahXnzZJDquHEyUDUyUu4TPp/cF48d42Xi1nd5YNYDxDnjOLnLyQzIGMCnaz7l9E9OZ2DGQP5zzH8Y3HawXKPHLZWy2NZ3JejQ9EFUe7mud5ZEAHS5CuJ7S51655dQtgiwyICQ1GOh85V88IEkwZ01C66+WgJSMzNl+4LXzhNOkAG4zz0Hy5fDeedJ/TktTe5jwWvnmWdKgpm98nukDFm9ScpM8UfIPd1TFrgmFktnftaZUh79HUtKksDgl1+WhCP9+8s9MNj2UFMj989775UEqX8aacdK+WTDC9IGtCaQmMMWLgOU0kbLdSIsHsYth00vQc7H0tZZs1mSorc5SQaaWx089JAMSn3/fal/3nijrM5qlbJAMBms1SplgIsvlvL2999L+SspScoqd90l5daVK2VdU6ZIu0dNjZQnXC4ZeH7bbbskftvLgLnWcPlc5FXnsbNqJ17DS3JkMsW1xYTbw2kb25Y2MW0IM9xy7tRslXJRbA8Z0O0qlHPHUybnUvvzWveh7c+TsnfZYlj9sATQO+KlTXDLWzIRQ/YFkHXGfn0ndWCZpkluVS4Ldy5kddFqrBYrHRM6srp4NfHh8fRL78fgNoNJiEiAEZ/Clrcl+dv6Z2VwOsjxkTi4YZDugfTtt1I2+PlnqcNnZzdtx66rk/afM1s57r9/fwm+fPllSYrxzTeSwBGkHjVsGLgc+Q3Lp0Q27ZtJi5LEb/k1oWUcDknoNWqUnMf5+bKdt9wi98CD6eabJWj0qafkWnTLLZJwNygxUYJO339f6lIbNkgda/BguaaNauWcPpWVkqh1zZpQwH5YWKgtLhjc/0cQESH9INu2SWKx3Fz5rsHEb3V1oZmav/9e2pG++ELan/7731AistRUKb9cdpks98EH0mcwfbqUeSF0Pzn/fEkQ2rWrrGvGDHk+M1M+1+0O9dl8+aUkL/npJylLt20r/4L1zvp6SRp3/vl7/65+w8/FEy9m6uapnNXzLI7rcBwbSzcyvut4Ih2RfL7mcy6ZeAkfTPgAm7WVWQIb+5X3sSOPlHrAsmUSZB0b2zTxW22t1CvaZFezNH8pS/OXUlxXTK+UXuRV51HtqaZ7cncGtxlM58TOfL/5e276/ibqvfWc2PlERrYbSVpUGt9u/Jb3Vr7HQ6Mf4rL+l2E7ZookfdsxURLKGm5px/DVymRLcb0pKIlj4kRJ0hcTI/d5pzPU31NfH2rHUE1VuCp4fM7jPLfgOQZkDODMHmeSEJHAZ2s+46i3j+K07qfxwLEPNByfKwtXcnHfi+mX1g+ASEckd02/i283fsu7p79LpbuSG6fcyOK8xYztPJaTu5xMaV0pX67/kh4v9uCWYbdw11F3NenjapXITOlTWniF9CdmnSVJhncZeDVokNyrbr1V+rPatJHz+aqr9nMHDXoeDJf030S0kQkWulwLhPqedr03BZ9bx7om/VM33SRJom68UeriPp/cB2+7Dc45x2TUO/8E4JZht/DocY82vO/7Td8z7oNxPD3/aa478jpuuy2ZoUPl2rVkiZSBg9f8uDg5D08/Xc6H0lK5tmVnh9r1QNrufD7Ybsxj8sbJOKwOll+1nMzYUB1+3Pvj+H7z9zzy8yM8f9LzzJwJ//d/MHmy/Htdmmex2aRd9G9/g2X5y7jgiwvIr87nH4P+QWZsJm1i2hATFsON39/IlM1TePu0txuSTrWG3/BT76vH6/fitDvx+D3YLDYiHBGSvOQAKy2V/vj8fKkbdOsm15XgvvN6ZZ926bLn9QTlVefx9rK3eX/V+8Q6Yzmn5znkVOYwbcs0UqNSuWLgFUzoMYEXXwzn228l8dcNN0h5JjJS2mQ9HrnGqt15PHLszZ8v9bh77pF7QDBpmscjZYX9rL7tUb9+kvTwnXekv2vxYimnREZKIrerrpJzb80aeOUVaY+5+24pz4D8th06SHnxlVekLXvHDuljCLZh2+1yzNXXt367DNPglcWvcMe0O+ic2JkbjryBdnHtiHXG8s3Gb+jxYg+eGfsME3pM4NKvLuWzNZ9xZo8z6ZHcg+82fsdf+v6Fr9Z/xai3R/Hm+De5sM+FMHoabHwF8r6BVffKPRikfzBpCLQ9rdXbl5go5bK0NClTFQUuk05n6FjPypJkvs88I9fy0aNlf6enS9k3WMa66CKJmTlQKlwVnPjBiczfMZ+rBl5FfHg83278lisHXskHqz7gwi8upN5Xz9/6/43ly+U6PH269Fs6HJKsw+uV7zFmDPzr6a1c9e1V/LTtJ07rfhqjs0djmAbTt07nvP+dxyldT+GFE1+gbddrpX+m8hep08X1lL5GwwNrH5f+RnskDH4NNr4ofRfz/wqxXeU3MNyw5mGZ5CtxCIz+MdBeOw1mHAcxnWV9ngooWyoTd9ij4Lifpc0xbxJMHRbI5BQr7Q6RWdK+mzwMxvwMW96QmJKtb0v5yxYp/SMRbWWCsIPpV5Zhq9xVTN86HYBzep4jEwYGnNXjLD5c9SFTNk2h3ltPxMAXJMnO9k9h85uy/0H6dOL7yGsHqV/nkkukPnjLLVKWcbulb+6661pfjjFNuQ5VVEjZNzU1FDsVfN0w5LneveX69Oqr8MMP0s4WTLadmSntZ4di0rSgM8+UMk0wVmDTJrk3JybKOTdhAtD3YWlf3P6J9E0s+Gugv9Mr8Rwx3SC6dQ2xLpe0RaxdK/t+xIhQUkqQcpPLJZOOhjlbET+367HaQnLtdetk/+fmSj3yiCOk3GG3y2/l9Ur5Li4zj/dXvs9naz7DMA3O6H4Gm8s3M3/HfLond+cvff/CSV1OYln+Mv7z039Ymr+UUe1HMbrDaBbsWMATc5/gwZ8f5N5R93JBzwnYt38iid8C9SlsERIPU7lW4rccMZT3/Z6b/92VadPknnr11XJMxsbKttfUSCK+iy+Wa6Dad1OmwP33S3vH0KFSpomIkP1pGPt2/28t0zR5Yu4T3DntTga3Hczo7NG8v/J9hrQdgsPm4Pop17OuZB1Pjn2SR35+hAdmPcDIdiMZ3WE0Ve4qrhh4Bd9u/JZBrw3i+ROf52/9/0a5q5wt5VvYXrmdMFsYiRGJ7KjaQUJ4Ah0SOtAurh1ev5d3V7zLcwueI9wezvhu42kb05aXFr/EbT/cxiV9L+GawdfQtmKuTGJZuw163CH9jYYrEGc7S2KcMk+XCQdbI7YbxHSXZDPVG6U93FspcT0bnoewBMyUo/i23sFd0++i1lPLCZ1O4Kj2R2Fi8tT8p3hy3pM8POZhzuxx5oFNYp0+Wu6xW9+GLe9I264zWb5zfZ4kqUsZIfEH4RngLpV+gfp8wJC+g5wPG2J/J/58JB9/LP25Q4dK3TguLnQ9CbbZ9O174L7CH8WW8i18ue5Lpm+dTll9Gce0P4ZFeYswTIOR7UZyRvcz6JvWlzUla/h6/dfM3j4bn+FjaOZQft7+M7HOWI5ufzTju40nOz6bKZum8NqS11hbspahmUM5su2RfLL6EwprCpnQYwJ/H/B3yjd35vHH5V7crRtccIGUc53Opuf/zJlynVixQtoPzjtPysoREXJvqqiQ+8bxxx/KPaiCTNMkpzKnSd9Op8RO/FL0C/Hh8fRP78/gtoObxDXvid/ws7FsI8sLlpNTkUN6dDphtjByKnNoE9OGfun96JHcY9+TU/6OLctfxtj3x2KYBg+NfqghxvzBYx/kgVkPcMpHpzD1oqkMc9TC1vegLgfanCIxE3639LNWrZVJPbMvlElGDC9gBiartQJG0zKbzdmqOkB9vUyaGoxNPeMM6dcIJjkJ1nfPPtsk17WWWTmzWFW4iqiwKLLjs1mWv4zUqFSGZg5lZLuR0gd4ANXUhNrIg7Gpu97WbLZWlutMQ5IvV62T/RbfR+LqvFUS4+gqCMXfLbla6roJAyUW1B4l5c7qzZKc3B4FQ96U2FBXoSR9jcyS+6GnTOLzvNVSV009qul2tFDGzqnI4c7pd/Llui85vuPxnNbtNNx+NxPXTWTAawO4rP9l/OeY//D+Oyl89JHEJP/1r6F4d7tdrrHB9qRly6SdNTdX6lE2W2g5t7uFvrgW6rG1tdKGtH69vG/4cKl3BPd7sN4x4igfi/IW8N2m71hesJy0qDQyYzOZv3M+WbFZHNfxOE7odEKrryeHSp23jtzKXHKrcvEZPlKjUimoKSDcHk5WbBZZcVmE2w9wnJC3RvoPDK8kFrSGAaa0sRjeUKLrnA9gw4vgLYde90lslrdCyoxFsyQu11Ug/RIl8yU5fPIwKa/5agPxrFtkfZlnQHR2aBta+P39hp8XF73IP2f8ky5JXbhl2C1kx2eTHpXONxu/4fM1n/PCSS/Q2346t98uMXtpaVIXC5YTIBS3u3KlTNY0b57U4y+5RI7jiAh5vapKrj9nnXVgd/HhrLxc6tlVVdK2H4xhaDy5hs0m592BYprSVzxnjiT2HjUqlOTKZpPPDI5RS29l/upW8dXK8eqrlWPdmSTXXl+tHK9+l8SMHMLJH71+L7XeWrx+LxGOCNw+NxaLhShHFGG2sNbXr/xuiR/z10tbqDNJxj36auXc9rvk7+iOe1/Xn427FMpXSD04Mkvi2bHKNcxbJfsuPIXq8HZM2TSFSRsmsaF0AwMzBuLyuVhbspZeKb04rftpjOkwhghftbQx+2oBi9yv3dUSj7b1XbDYMe2xfPLJdXz/PeTlwT/+0fz4zpQU6VN56SXpA+jXT+KSk5PlHhscG/vMM9L/88YbEpfZo4e0TyUmyuU2WMZ57z2ZuD4uTq4B334r52JUVGg8jtMp7Z0ffCBxOikpMs4gIUE+0zSlLS4qqpVxsYc7b41cJ/y1cv9yJEhfg68O/HXy+zti/jDnjsfvoaSuhJK6EqwWK5GOSMrry4l1xpIcmUx8eDxut4XSUvmdw8KknbPx+D6Qx61Omup3yXXINKXegAUwpXzQsMIwKPlZ+mYMj/SphSUEyhM1Mi7GNKSfLbLNAdsfhiFl1eB4nuDY6d1YvSzKW8TMbTNZX7qe7LhsIh2RrC5eTXZ8NqPaj2J41nAiXXlQMk/K6PF95ZgyDbm+uIvkWh3XG8qXyERErnzIvljGiPnqpK2rZI5cy3vdJ2Ww4tlSPks7VsY5eStkvFTVBtnYTlfIfvW75dh1xMm9zvBIDL3hlX3uTIH9iZ86zPgNP2X1ZRTXFVPnrSMxIpFKVyU2q42UyBQZM204mDRJ6hP19RLDlZISqt8Fyx0DBoDTaeL2u6nx1GDBQpgtjHpfPU6bk6iwKOxWO37Dz9qStczfMZ8NpRtIjUolPjyetcVraRvbliFthzAgY0Bo0o4DpW6nHEsgk2LZwkPldV+1nFORmdI32hqtKVO01Gezy2uVlXKPqKmR+0HjydogNBlDbGyoju1wyH1k1/HCVqv2nexVS33ApikTxFStkzaZuCPknuWrlX+uAsACaaPx2KMpqi2isKYQj99DYkQipfWlhNvDSY9OJzUqtSGuyDANPH4PfsOP1WLFMA0cNgcOq+NPOYFlpauSnMocdlTtwGF1EB8eT35NPvHh8bSLa0dmbGarY7JqaqSt2ueT+2gwsVjjc8JmA7vDz46qHWyt2EppXSkZMRnUemqp9daSGZtJdnw2SRFJWFqTlczvg00vy/3EYpPx7eEpMh7CXSLlIGsY9Lo7kIzULdcbR5wcV36XPG965f3h6Qc2h0rBDBlfX71BxpjGdJU+qvod0h/rq4b250vcRe7nMqaqzcly/fPVBSZT+EW2sfMVrYrJ8HhkfMy330rs21VXSV00WOapq5MJn087zaTIXMuPW39kecFynHYn3ZK6sShvEUkRSQzLGsYx2cfsU2xfq5m7lJV2ZbEe2N/hAAvea4NJ+Zu7/lssYLMbFNYUsq1iGwU1BQ0TuZXWlZIenS7tQdHplJZaKCyU3y4hQeozNpusI3hvdzggMqoV+8Twyzjx6k1SR47rLe0CwTHQriLZv+nHSVtrUAvX4uAk6hUVsg3BvimbLRR3Yhitn5gY0wi1zVmsgTb34GcHPtdiw+uz4vHIum220MTfjTfPZgOf6SanMoet5Vup9lSTGZtJcW0xhmnQLq4dHRM6EmWP4/nnpa+tsFDG0HbqFPoewfGd48aF8iDsaZ/s5gCMK/uzsJjmr99DixcvZuHChVRUVBAfH8+QIUMYNGj/ZpXp2rUrHTt2ZMqUKU2ez8/Pp02bNjz88MPcddddu73v3//+N//5z392e37cuHE4HHZsFhOb1cBmAcMEr2HFMK2YmPis0pNgN+xYCB08BgZ+q4xusJgW8hLz2Jq6lTBfGMnVycTUx1AQX0B5VDnxdfF0KOpAR9PJsMwC0qLryK+OoqAmEsO0kBDhJtbpIdzuY2dVNPk1URyTvYP06FrWFCdRXBuBzWqSEO4iJaoeh9VgeUEK7/ir2JK2hYSaBIZsHtKwbS6Hi5+7/4xpMRm6cShV686kqGgg9fUppKQsIyoqH5vNg8ViyPXdtBGXsJ5lA76gJryG7ju706E4lPxjZ8JOVrZfSbgnnCM3HMmcHnPw2XwM2jyIlOpQEP7G9I1sSt9EXF0cwzYMa7K/vp40qeHx+FNPbXjcIb6Sc3ptpH18FQt3prO+JB6fYSUjpo6M6Friw91sLIvni7WNg8hM7FYDh9XEMMFnWPGbLRdC/H47punAanVjtTZ/M5MLpAPTtAb2jdnk97cZNqyEPqPx7283bDisYLUYWADDtDSke7NawGaR+dyTIuo5q+cmsuJqWFGQzKayOPymlZ4pZWTG1pASWU9edRQPzetHWXQZZdFluBwuIjwR2Awb1eHVhPvCSahJIKkmCYe/aa3FajEIsxlyDPttmDR3EwrtO78JPsOGYe6+XPC4MAwHYMFi8WK1+na5flowDDumacU0rYHXDKxWP4bNxeb0zWxN3UpSdRLJ1ck4/A6qw6spiivCxKTnzp6kVqUSH+7mmOwdDMgoIiWynqgwL16/FZ9hpbguglWFyXyyuivt4qo4uv1OeqeWEh8uo8x8hhWLxaSkLoK5uRlM2ZRNfLiLsZ220yOljHZx1YTbfXj9NspdTrZXxvD9pnYsL41r9ncF8Fq9sj9NK4bFCPzGTc//PR0bwd/CajHxGXtu9DBNK36/A6vVhzVwPPktfgyLgQULdqNpoX5PrwHYrQY+o+m2+Kw+TEysphWbaWv2NYtpwbSYe90nzb0GJjaLucdzcF/YrX5M09Jkffu/T0ycNj9+09Lktwh+b5tpw2q2fn81xzCsbN06ntLSnni9MaSkLCUiogSrNZj40YJp2khNXYjN5sEMrNNiMbBYdr/FWiy+JgVU07RjGFbABphYLD6sVh9eu4e8hDzyEvOwmBZSqlKwmlaKYovwW/1klGfQtrwtNsO219/falo5rn0eo9rvJMbpZW5uBkW1EUQ6fMQ5PXRKrMBqMfl0dVc2lcU3vL+l6/quv4HNItcdq8Vs+C2au+60tL6m+8HSsO+CBfigAW3yGNc5h9SoeqZvyaKkLgKn3UfHhCo6J1YQYfexOC+NVzdlsKHNBioiK0ipSiG1KhWvzUtRXBFl0WW0K2lHx8KOWAPlgF333Z7Of0vgGmu3ynf1+BsXnJsK7pM9LQMmYTa5V3uNPS0HhiHX7OD9vSWmacUw7FitntBsea24TjT3WvAaBhasVi9Wqx8Tk8rISgrjCqmMrMRiWkisSaQsugzTYhJXF0daZRpxdXEN11WrRfaZLXBOmIDPsOA3rMQ4PQzLLCA9upaSugh2VkfhM6wkRriIcviIdHgpqYvgp5zM3bbNMGyYph3wY7P5mt0vweNu12O4T1ox/dJLiHJ4WVeSQKU7jAi7n+gwL2nRkkXux62ZRIV5aRtTg9UCO6qicPnsRDh8hNv9xDrdGKaVJXkp1HkdDM0sYFhWPtnxVcSEeXDaDeq9NkrrI8ipiOGd5T2o9TbNYCid5E4sFgObzdvi72q3+jFMa7PnVtPlDHyGhcbHUmt//+A9cW/Xzobldjk/9nbvlO8ahtXqb7gn7vp6qNxhC1S+5ZqIxWiy7uCxZWJiWI1G13xLoNxvYrVIOTK4L4Klt13vGQBWi4nD6m+oI7TEajEJs/nxGdbd7seNv0eojEWgDNB8FgHTtDTaJ76G7+S1efHavPitfiymBZtpw2fzYTEsOPwOHH7Hbr9lsJxoNqrrtCR4PbFaPS2WnSFYxra3eN3Z9Zro9VtbLJ86Ast5DUtg31mavG63mlgtUl+TZ6TM7TMsu32Xlu4nGdE1nNx1Gx3iq9hRFc32yhhMIM7poV96MbFOD0vyU3ljaW/8fgd5eUdRUtKHysqOuFyJgBW7vZaoqHyys78jI2MePl8YO3ceQ2lpbyorO+F2xwEWwsKqiI7eQecun7Fm6FtUR1TTNa8rnYpCASDFMcUs7rQYu9/O8etHcm2/DXRKqKCgJooft2VS6XLSNraGxAgXmbE1mCa8MG84v6w/m4qKTlgsJqmpS3A6K7FY/IABWDFNC0ntp7Gi/QrKo8vJLMskyhUFgMfuYWfiTgD6butLTUQNazLXEOmOZNTaUU3OnVk9ZlHnrKPnjp60L2nf7D7e9doZYfdxXMft9E4tJS26jtK6cDx+ORaz46soqYvgo1+6sqY4abd1Nbc+m8XgqPZ5HNm2gMzYGmKdnoZ7Z/Da+frSXnj89lat72AL1otaOqeDjMA1prlrXZDNYmCzGoH91/S8cbvj2LHjWEpLe1JV1RGfLxKr1UtERBEJCevp2fMtDMNJXt5ISkr6UF3dDq9XOu0sFhObzUVCwga6dv2IkpI+1NenYLfXER29A7vd1VBGNU0Ldns9ltRfWNt2LZWRlaRVpJFUk4RhMSiJLaEotoj0inS65XUj3BeOy5VIXt4IiooG4HIl4/HEYhh27PY6oqLy6dz5M+LTlsp33MN9onH9q/H1X8rEELy3mxZfo3r5Lm02FgO/RV5zGLv3+DmsUk/Y0/UwWBbzGXu/xxqGPXDtbE27g63JNTYjupbjO22nS2IFJlBYE4nftBBu99M9uZzSunBeWXwEuVWSrFnKkQZWi1xrTSwN10SnzeCUrlvomVKG229jXUki9V4bceEeOsRX0TGhkrL6cO6aPoJIh5ej2+/kyMwCUiLriXVKW0i1O4zC2kiW5KUyaUNHuieXMbJdHt2TywP1a7nPRTh8VLic/JzThk+WjGHHjmOprm5PWFgVcXGb5fgJ3B9M00pc3BYSE9YxNLOAwW0L6ZRQKesL3DMN00JBTeRu9Y7gvvP7wwBLQ5uNYVipqWmH2x2HadoIDy/BZnPv0m5hJTKyoEndqzXXiV4ppZx/xHraxVXj9tnYVBbPD1vasTS/acdLVVU7Nm+eQGlpb/x+J5GRhWRkzCU7ezJ2u6thuYqKTmzadBbl5d0wDDsxMdvJyppOZuZMfuw9HbfDTa/cXrQrDU0sURdWx089fwJg5LqRxLiaJuve03WiMbvVAFrfPmGzefdSnwDDCGtSn9jz+jzN1n33JDf3GIqKBlFfn0Ji4loiI/NDbXWBslRyyjIcUYVAM212gfPfgqVR2XD38oRhgomUPVxWLxsyNrAjaQcpVSmkVKVgM2yURZdRFFdElCuKHjt7EFcf12Rbg+U/0wRPo7Y4q8XEZjGks8iwBFoHRHB/GKaFvPyh5OcPo7a2DXFxW4iJ2Y7NFpjIIdCekJi4lujonQ2fubdjuE9aMSPb5dE1qYLkyHosQK3XQWFNJBvL4vloVVe8jY6Hva0vIdzFcR1zGZ6VR0pUPV6/lcLaSFYVJjNjaxZTE7awI2kHqZWpDNw6sMl753WZR0VUBR0LO+K1eclNzt1tOZfdxU89f8KwGgzbMIz4uvhWbZvLlUhu7mgqKjpTX59KRERxw3VH2izD6Nb9XZwxsu9auk80PU6Cgr+rZa918QNtb2XsfRGqYxkN5ZPGbdq73h+btnfbd9kngWUM+17LOgeaGbhX721/GIY90GYUWs40LRQWDqKoaCCVlZ3xeGICdWw/NpubqKh8Bgx4CoejttF7gmUPB2Dsdl10u+PYufNoiov7UVXVAb/fid1eS0xMLm3azCYrawamaaGg4EiKi/sHjtGUwO9aT1RUPllZM8jKmnEA9xGUlPSlpiYTrzeS2NjtOBxVgbJG8HpiITZ2O3Z709HOhmHFMGSwxp7uAXurs++6vr0dw8Hlfm29syV76tvb02uHSqicaG/SF9NSm03j72A1rBjW/WuLsVoMHIHyRPP19d3PCWkDNPB4Yigt7U19fRJWqz9Qn6gneMxJe6GP2NhtTdbXUn0SoHdqCcOz8umWVE5UmC9Q55e2nOK6CL7b2J4FOzMAkxFZ+QzPyqd7chnhdj91Xjs7qqJZXpDCjK2ZVHuc2CwGR2fvZHhWPp0SKgizGVS5w8ipjGFxXhrf5yUxtfssAIavH97kPh/sF3X4HIxYN4J53ebhtrvpndubSHcoKHJz+mZKY0rpUNSBLvldWtWPgQmmpYW2OIuv4TUz0E+5r222rRdsH9t7347fb8dmOzDX/33ux2q0T5r7rlIXtzRcm/Z03O+9fVLa4uQ+4dvtNWlvlvK3aVoC5WFTyh+2ekzr/vXtSVucvcl1uLVttjtzxrFjx9G4XIlkZMwjPn4DDket9NUaVvz+cKKidxIZnddQ9rGYFiyB2qSJ2bB/raaVxHA3x3XMpVdqKUkRLirdYfgMK+F2HxF2PwU1kTy3oC/x4R6Oyd5Bz5QyosO8VHsceP1WYpxerBaTHVXRPDVvQGDfNe7jsTbad3JPcTtr2Jq6lbyEPOLr4kmvSMfEpDC+kIrICtqWt6VDUQfsfvs+nxO793f7sFq9WCwmR6SW0iamBrA0tO1HhXkDbfsevH4rc/OSmZf1C8WxxWSWZhLtCiVILI4tpjSmlI6FHeme35UxHXPpn15MYoSLrRWx1Hoc+E0LHeKryIytIa86igdnHcmOHUdTWtqHmppMwsNLCA8vxWr1Y7EYGIaN8PByOnX6MlCOGUJR0QAqKrpQX5+Madob2ifbtZtK27azG7Znb+V6ny+CHTuOobS0F5WVnfB4pI7pdFYSE5NDt24fEROT28wxb6elWIGDRc7FYH2ypWWCx5WtxXpn6Pe3A9ZGv38rt6OV5YnG9+I9xRTt3j4l9Q5jlz6Jekc9m9M2k5+QT2JNImmVaVhMC4XxhZRGl5JRkUGngk5EeJvOwie/mSPQf9Ly7xWs14fiYlruO4NdjyeTmDBvw3Z7/Db8pgVbsJ/PamKYFsrcdvyB9e5W72hUF2vumii/v7Oh3xFC9wKLacFuNn3Pnu4TtkC/yN76bIPL+Yw91wElzsbAu4c+oOD6bFZjDzE7wmH1Y7GYe23b+a0kR9ZzQqccegXilxw26ccsqpX2hK/Wd6DAJb/nvpWxpQ/IYmEv/eIHnmlaAm2xzZdj9nbtNAxrQ79k6P4fvN40X4dqbd3pUJHvZN9j254lcH3atT+xurotbncifn8Y4eGlgf6EYJ1T3hkeXtrQpx26LlkaxZT5A/c9/0G7pwTLbMFyovQp+7Favfht3n3rF9+H8qQFE4fNCMRPtdwvGvwN5LgKxQAZVj8lMSUUxBdQ56wjyh1FhDuC0phS7IadpOok0irS8Nv8LOq0CJ/NR6eCTk367bekbsGwGgzYOoDS6FI2p28mrjaO4RtDkyj7LD5+6vUTHruHflv7kVEZiiJvbR/bb7Wc3+9g+/YTKCvricuVSGzsNsLDywJxVSamacVuryc7+7uG98j93xq4/9toXI89kFpb77AYFkyrXDf2VE6wGbYW2+Ua1ycspmU/4udajrN1OVwUxhZSGlOKx+4hoTYBl8OFK8xFpDuS1MpUkquTdzlfGseeho711u6T36ItJswm+7I19/89xc/K+RqqB8o1zIfVajQ5blsy4bSTOLfXRroll1PtDmNpfgp1XjudEytJj66jR0oZdV47D/w0hC1Fndmx4xgqKztRX59MRERxQ1ktGL8xaNBj7Nw5ipKSPtTWZhAVlU9ERHHgmmoGyndukvq+ycJOC7GaVnrl9sIWKGuaFpM1mWvw2D0M2DqACHcE69uspzy6nNTKVFKqUvDb/BTFFlESU0JmWSadCzoTZdgJs0lctDfQVmMh0O8cuC+6/FY8rbx2tti32+ic2GMZew/lyaaxYru37coyu8ZjGg2xuzt3jmT79hNwuRJJTV1KSsoy7Pa6UL+OYcPprMKb9gub0jZRE17TUGavCa+hOLYYl8NFh6IOZJVm0T2hitEddjTESpTUheM3LUQ5fAzIKKLC5eSFhX1ZmTOInTuPorpa+gmjo3cG7tVynzUMB517vs2WrJVsT95OSlUKSdVJ2A071eHVFMYXYjEt9MrtRS8zklO7baFjQiU7qqLZWh6HYVpIjqxvqOuvKU7k+83tOaHTdtrG1LCiMJmCmiicNj/p0bX0Sy/Baffzc04b/jv1L+Tnj6CuLp34+PXExm5rKAME61wxMduJjd3esI/3FANaXd0elysBw3ASHl7cKD4h1JPmDC/CdLj2+vvH2vwMyCghJbKecpeTotpIfIaV+HA3kQ4f4XYf5fVO5ualtnjtbFyfiLEbxIe7CbP5qfGE4fVLbLrDajRcV6rcTnZaXWxJ20JZdBkJtQlklGdQG15LcUwxrjAX2UXZZJZlUh9W3zCGBCCpOonKyEq8di8x9TGkVaaRWJPI0LaFDM/KIzWqni3lcQ1tMUkRLga1KaTKHcajswdRWh9BWVl38vOHU1nZkdratoH+Dh/h4WXExm6jf/9nsFkMju2wg37pxXROrCQmzIMJVLnDyK+OYllBCl9tbC/7pJk6VsP9pMlrjftZJT7Bb0iMtxGoE9qsjcdPBBI1AA6rjJ/w+q20ja3huI65dEqopM5rp7A2Er8hcRH90ospdzl5eVEfcipjm5yvoTK5tMNZrV5Mi79V986UMB+ndttK58QKyuudbC6Pw+u3Eev00Cu1lNSoetaXxPPU/P54bV58Nh+GxWiIuzasBlbTit1vlzEbgetMqI3LbPiuQbKNobpAa8pEwX24awyI7OfGsZ5mozFPEre/a7kzWC61BNp/g1GRofW1LtZ/T/XtvbfF2RrqYi21xUg/UTD2uOX4yb0Jlv2aq3eYVi+Gtfl7RuPjJMoCSZEunDbpa3AHYt3k/Jc47xqPg9ySToGyaQJOZzlRUQXYbIHJhpE6kNNZgT1uO+VR5VSHVzec8y6HC7/NT7gnnPjaeGLrYzmrxxaObFuAYVr4KactZfXhJIS7iQt30yG+ChN4d0V3dtRJprI9xUXgjaC8rCcuVxKmaSEqKq9RnY2G7YuL29bqfRs8523WQJxG4Pngz7lrnG0wRsJuNRriMHaNVQ4en1aLSTCKwh8oo7amrwL23Ke9p9d2LSc0V09ovpzgx2LxMembvZf/AI4aeQslJX1xuRKJisoPxLuEYpmCcUxRUQV7XZdpQk1NFm53QqAuXoLdLvEkjceaSF28deeQ2aTc23wsj8VCoJ4f3GdSrm7cL/Jrztu9b2NzsYKBa6tFrinBPjSgyTioYL0p+LiVnxgYwyD7NXhsmoFt8ZsWPKaFurA66sLq8Nl8OPwOLKYFj92D3bAT4Y4g0hNJWoSbrNgaIhw+imojqffasFtNwu1+osK8WDDJrYphZ0USPl8EoTGOu5ZbLVhtbrB5mtQHQ1vctG+nNeM2G3/XxnGHoeh5uVc4rAadAmWISncYlS4nJhAVKF85bAYVLidLt/UhP38EtbUZOJ3lxMdvxmarb1K2CwurxNpmMWsy11DnrCO1MpWkmiR8Vh/FscUN9Y4u+V0I84fGT/za9gTDsFFW1h2XKwXDsBMVlY/dXttQvgY5F2Njc/YpBsEaGBPV0j3WjdFyO3aL/X7ymzise66ftmZ8Z+Nl/YH9ued+lmC/qNHi/Tr0uWFIzO7u6wtdX4PjSs1AW5wPn81DRVRFQzk40hWJ3+bHbXcT7g0nri6OuLo4PHYPRXFFlEeV47F7iK+Np95Zj8fmIdodTUpVCok1iU3awVr6/a0Wk96pJaRF1eEzrOTXROH22YgO8+K0+4kO8+D121iwM5VKu5ua8Bo8dg8W04LT56Q+rB6bYSPCE0G0KzpwbO79OrG32Mwgvz8Mny8Cw2hcVtq1POlr9XU9yuHBafcDFtw+OX6sFjlGHYHxxVXusFbdZ3etv+9axm5cNmz8u8t51fRcklj1lsc+Ndb43JJycOi1YH2i8dic4PK7lif8hlV+C6sfj82D3yZj2+yGHZ/VRzBGMMwXRphppUN8FfHhbjyB8cY+w0qE3UeYzU+43Y/Hb2VtcRJ+I9iWSzPt2oFyYKPrdUv1zsbXhuauJ4YZHBvTtHwfrCvYJNQEXzNjbYJjdoK//a51tsavWyw02cfWwH2/3oDNqVslT0FtAslVyTh9TqoiqiiKk9mneuzsQWpV0xjqlmKAOiZUcmLnbWTFVbO6KImd1dFYMEmOdJEWXYfT5md5QQpf7kxic9pmimKLSKxJJL0iHa/dS2FcIVURVbQraUd2cTa+6ja4XCn4fOGEhVXicNQFxs8E659W7I5KrM6ahutt42uGaTGbjRXd09h4LF6MwHG06/i5YFkkeE1vqa2qcR27viqbgoKh1NWlERZWSVzclkCcefD8sRIWVknnNr/QJqaWcLuP4toIXD47NqtBuN1PpEPOqx1V0ZTVRzQps4dqjcLYw33ltxBsqw/W64N9SaE4G18grsXeUEa1WIxm7kdmq+vYQ9oWMLJdXkP7V1l9OM7AfhvTIZcaTxivL+2F37BwbIcdtI+rprA2krL6cLx+K3HhbvqmlVDucvLIzKOZt/JiKis7AiYZGfMJC6toEo9pGHZS286mMD6fnYk78dq8JNYmEuWKoiC+ALfdTWpVKpmlmUR5olq137zeCNzuePx+JzabJxAT7Q/sMzlm5XnXXtfVmDVQV2tcBvSbYJhWvAb4m4y7bH5Mv9WQWLaGv01rQwxcsDxuNaxg2PF6ozEMBxaLGSjvBn/D0JFqtdfhcrhwO9wNZWwAr82L3bDj9DoJ94aTEVlPdnwVkQ4fBTVR1HnlnIiw+4lxegDYVhFLXlVsQ5tNsM1815rsrvHFv9ae+j4a7zuHYQv0IRpNxi9ZA9toDYw18Pgb93EG46aDbQ40fAfs7mbb9vYWF7c3u95PDNMSKOcExvTvcj8JthVIf4H8XedxUleXjs8XBZg4nVVYLN6Gcz943Y6JLCEu3I3TZlDvswViKwiMQZX7Xr3PRpXb2bB9ck80G/K1BO+bxi713OA2Bu+dfiN0fw2z+XEE2gKC/R3yfYO/B7h89ibrDPUV2QO/gdSH99Q+2bjNxmpY8dg9uMJc+Kw+aWs07HjsHqyGteFYb20MaLDtxWIJtqcEfwP5HmAGykWt+/133SfBNs9gbhzDlH3i9TmbxJCFzqXgvdjS6pispnGYu5axQgWVxmWsXcunu9axgrEhwfjEpsnQzCZjs1un+fpz8Nq5a5vX3uza59j0nmgE2hj3rnFbvN9s2lYT7LPzmxY8PkfgHmwJfH8ZUxZiAYsfo4X4iT3m12qIxwj9flI/PbD98cHfwILZJG9T8JpD4PnWtilG2H1EOCS21e2z4zNC57/DJtte7XbQJqaW1Kg6rBaTotpIPH4bTrsfh9VPjNOL37CwriQeu9XEaZfxRq5AXSwYO2e3GhimhfJ6J3uKGwPwer1MmTKFyspKYoOzB7bggCR+C/L5fKxatQqA3r1749iPVLtdu3alU6dOfPfdd02eDyZ+e+SRR7jzzjt3e5/b7cbtdjf8XVVVRVZWVqt2wr4wTINJ6yexqmgV0WHRePwezu55Nh0SOhywz2is3lvPES8fwebyzThtzoZZ3UvrSwG4bsh1PHfic0yeLLMbbtsmGfw7d26aEdLvh8GDYbM5jePfOx6bxdZk5he3343P8PHxmR9zbu9zeXLuk9z6w61E2COIcYYGnpbXl+M1vMy+dDYj2o1ourF7y7jo90iG8mDGcACLTbLBOuLBFrb7e35vfPVQ8L1kkrXYZOYPa7g8xgTTD9GdIK7Hod7SA2Z9yXpumXoLq4tXc0z2MXyz4RtuPPJGbhl+ixxjtdvh+4GSOTfzdOjzsMwSafhg+W2w4TnJTD/wBZg5To6NXvdCtxtlpiBXASz4m8x61XY89HtMZlH2VkDKSOh2U2jm2VknQ90O6H4b9H/8EO4V9Ufi88Gzz8LPP8vM8iecIFl3w8JCMxv5fJLFNi5u7+vbH+tK1lFcWwxAQkQCvVN7/7oV+j1geuWahEUyE1vD2G3GvcMtk667FAqmQe1WmYkoMku23WIF05B/iQMhQqZ6mr19Ns8ueJa0qDQKawtpE92G20fcTtvYtof4i/yx1HpqA03wFqLCWtdQ9ZtqYcbCA27OuTKrvTMFBj4vM6qEJUL+9zDrFFnmlI0Q07rZ0pVSe9DS/SlvCqy6FypWQc87IelIKYdXrpGZjzxlkDqKEuepjBghs8xERMD118Po0ZJ1vrJSZnmMi5Pnjj4acnJkBtLLL5cZROPjobgYFi6U2coi+37LKR+dQoQ9gszYUJLK4rpiKlwVPDT6Ie4+6u5Ar1l+YKbVWhoHtmKxQFgSVWYnXnsNliyRGaSOPlpmpAxm3jcMqdudd57UTZ+Y8wT3zbyP8d3GMyhjEPf+eC+ndT+NV095lcSIRDx+D91f6M7Wiq10TOhIWKDO5fF72FK+hY4JHVl7zdqG53fbx7teO6cOg9L5MhvMmJngDFzniufA6gdkmSPfgo6X7v33Mvzw4/FQ9KPUkQa9JLOx26Ng++cw52xZ7oyiwAx6e1nfH8QPP8gMolVVctydd57M0Ge1yszzkyfD9OkyG/nWrTLrwyuvSBk1OHtaZaXMGDF075OVNDFp/STun3U/2fHZlNaVYrPaeHj0wwxuOxiQ8vC4cTKDSa9ecN99MHCgzGxSXg6rVsmMTSNG7OWD/mx8dfBlhsz+mHU2jPhEjuOt/yez3RZMleWGfQDJR+59fVXrYcGlULoAsv8C2RfILG7FP8sMO54KCIuX83DKAKjdBomDoc+DEH+EzHaz5DrY9h7E94Met8K8i2TdQ96Q2eP8tVCxEpbdCmWLod05PLXgE555RmZnvvVWOPlkmQHN6ZSZ/crLZYbI7lVXwubXICwJhn8IaWOkPcBVAFP6yecMfQ86XHSg93TI3q4Ti6+DjS80/97OV8HglwG48UapCzbn8svhtdfkunzFFfDmm80v9/TTsLbTlby29DXGdxvPV+d91fDaK4tf4R/f/oPs+Gy23rC1FV/sj8E04eGH5Xq2Y0foOhcXJ7P5uFxQXS3XuczMva9vX60qXMVd0++i0l1J+7j2rClew10j7+LsXmcf+A9DjqHPPoNNm+Dcc+W6mZAgM/p4PDK7z5FHQrdujd60p2N45T9h9UNSxul2E2SMk1l6876DlXfLMmcUQnhq69ZXuhBmnhiaGdAWIfVsb5X8nTiY15L/zpXfXEmbmDbsvDmUoM5v+Il9NJY6bx1fnPMFw7KG0fX5rlR7qmkbE6p31/vqKasv4+yeZ/Pp2Z82/fwWtq2sTPZJSYncW5YvlzKRUo35/XDGGTBpkpxTDz8MF10UmgG8qgpWrJDzLrKVE1tOnQrnnCPlKZD3dukiM3ItXiyzJi9cKGWvn36SQ/iCC+CUU+QYramRMpFpwj33HJzvrdRhr6X65PrnYOkNYLHD0Hcg6yyZIbtup7Sd1eZI306fB2H2GZA3Wd4X1R5ie0i5uliSuDHkdWh3jtQpSxfKc5GZ0lfkKpCZTAHG/MTgr25hcd5ibht+G9cOubZhc67/7nq+Wv8Vl/a7lLdOe4t5ufMY/X+jcflcXNb/MtrHtee9le+xsWwjJ3c5ma/P/xrrru3nSv1GDEPuTVVVUob0++U5u136qlJTW3mvcxVLvaw+DzInwNB3wRENuROlTrn+aVnumO9h9gRpv+p2M/R7VMqIW96Ggh8g5yOwOuHcfQs0Laot4o2lb1DnrcM0TaLDorl84OUy6/Yh5DN8XDnpSt5a/hYTekzg/mPu5/z/nc/q4tU8PfZprj/yetjxJfx8hrxh+MfQ/lx5vOYxiX/wlIE9msem/pdgKMu998L99zf/mR6PtLH8+KP8feaZUs9OTZX60PLl8pved1/rvsO6dTBmDOTlyYzAl10GQ4ZATAzk58PcuVL3Gjduf/eSOhi2V27nuQXP4fK5sFqs2K12rj/yerLjsw/+h//B21hVM4rnSDyOr0b60ztcKn3t7iJYeLksc9REielRSh10PsNHtbsagDBb2G5xFtsqtnHSByexoXQDL538EimRKVz4xYUkRCTw7QXf0i+9H5WuSjo914nS+lK6JHbBZpXA6zpvHdsrtzOozSAW/n0hlsbX/AM96/avXG7iRCmjeDzSN/bqq9LP0FhtLUQdhmEov0eGaWCYgURb1t2Ts6r9YJpSPyqdD4YXEgdBWEKj1/1gj2FlyTiGD5fjedAg6Q+Oj999dZ98IucEwMUXw7vv0uIAmolrJ3L2Z2djsVh4dMyjRDgiuO2H26jz1vH6qa/z9wF/b1h2Vs4snpj7BKmRqZS5yogJi+HeUffSJanLgdsXvyPV1VBYKH2bHo/0w0sSUXm9XTvpgwdYkreE91e+T2JEIoW1hfRP78/FfS+W+ApvNUxMBb8Lsi+BYe/Km7Z/CpWroWoDAGscD9N7aAdME/r3l3Zm6x6amJYXLOeGKTeQU5HDiHYj+HbDt9wx4g5uHnYzTrtT2sJW/RsqlkPb00MxFtUbZVs8FRJX7UyWPtvqDZA+VmIyTL/UX01D4rTbnsrsX45g4kTYsgU6dYIjjpD6aHCf+HwSG9D7V4ar/h5tr9zOx798jN1qp8ZTQ4/kHpzR44xmr6E1nhr8hh+LxUJMWEzo/usqhm+6Srx7h0th8CsyVmL7ZxLr7quV36Xrddx6TyJPPilvO+00qdtnZ8vvsG0bzJoFjz/qg+nHQMkciMiQWPvEQWCPlv7DnA8gpgucsuE32kuN+OrhiySJz2p/vsQKAOR8AuVLoXSR/D3gKUjod+A+t+gnWHwtVP4CPe+GjLFyTpTMD5wTZTJGocPFB+4zldpXfnfgfPfJOW+xSV+JLRzsrezEVEqpw9znaz7n0dmP0iOlBzkVOSRGJPLwmIfpmdLzUG+aUkqpRrZXbufu6XezJH8Jo9qNYuqWqVw96GquP/J6aXfY1QEaj5dTkcOby97EarFS66mlTUwbLhtwGbHOA5f3Qf0JLLgMcj6WWLI+D8n4zJqtUJcD3hoZr9DxUvh+gLTXdrkaBr0o7932AVStherNAHh7Pcb/prRj2TKJx+nTR+JOG4/b8vng9NPlOZDjOKcyB4AIewQD2wzUWDKllFJK7VFVVRVxcXEHPvHb1q1b+fHHHxk5ciRdu3Zt8to333zDZZddRklJCQAJCQm89NJLnHPOOfu08cOGDcPv97Nw4cImz69evZrevXvz6quvcsUVV+x1PfuyEw53M7fNZPS7o0mNSmX9teuZkzuHkz88mfZx7Vl99ep9TrJy3ufn8cnqT/h7/7/z3xP+y6OzH+XROY8ypsMYpl0yDQCv38sRLx/B+tL1PHDsA5zT6xzunn43/1v7P87vfT4fnvnh7ivW4FDVnNUPw8rAKLeT1kjSO3epDMgJiuoAjljY+o4kcDq7VjqzKtfCqn+FlksaLAGpO7+SZDqn54HNCcVzZdB6zkcSXK+J35Taf61LuXzwt0Op35PK1TA5EOHW9xFJOAXw06lQtkgaDwFOXi9JYZVS+25f7k+mCa4iGcBkBAagWp2SNNSZzGWX23jrLXn67bfhr39tfnXjx0sSCYCvv5Ykry0Z/e5oftz2IxN6TOCqgVfxw5YfeGLuE2TGZrLh2g1EOCJa9TX3x+qi1awoXAFASmQKx3c6vsnrH676kAu/uJDosGg+mPABABd+cSE1nho+OvMjzut93u4rbamTbs55sP0TGRA24hNJruetkn+mP5RgyhG9+7p2XV/xbJh2lDwe/Ap0vlIe/zgWajZJ0BvAiSslwdyfQG0tdO8uiZBiYiSpSPfuTZcxTXjpJbg2kK/gllvgv//9bbavd29YvVoeb9okgd+qldY9DeuelEDOzldJILMjVoI63aUSbNz95n1bp+GFulzwVErwtOkPJNaPhog2sOFFSYYJUgaJ7SrJJ2eeBPU7pHwS3w8SB8CWt+S9E0rAESOdoNs+CH1WXC/IkgHu1dVyjFZXS4Iun08SDcTGykCI+Glxck1ocwocHbiI5nwsCZyDOv0dkvcxM+G+2FP71PZPJWFvkD1avnsw6VXyCDh+Ni+8ANddF1osNVWSUG3dKt//0kvhrbckyVDjxD4OhyQwKy2Vj37kEThigiQIBXBYQ5Nk+E0/hmk0TOrwZ2WaMrDG7ZbHTmcokeUfjd8v543LJd81LEwGLQaDAhq0dAxXb4Zvu8qAnB53Qr9H5Pl1T0HJXMj9n/zd2sRvpgnfdIaaLTIpx5FvyqQLVjvM/ytsfRcSB7Oq35v0eaUPAN9e8C3x4fGABAGd/7/zAci7OY+MmAwe+fkR7p5xN92Tu/PxmR+zoXQD53x+DuH2cNZes3b3BAYtbJvPJ/e6N96QRe69VxJtpabKeVZZKYNchg6VRFzqz2nJEhkoCZJ4dvbsX7e+2lro0EGSPEdHS13gmGNCr5umJGGZMgXuDuRZvOsuuRcopRppqT457SipB0a1h/Hb5LniObDt/dAy6SeAqxAW/0P+7vOwtLMF1/lR4P8hr0P1Jlj7mPzduE5ZtQG+DWRUHfMTj2+czx3T7mhxcydfMJkTu5woq1/1ERd8cQH90/tz6/BbueiLizgi7Qjm/G1Ow8RcSv2u1e2Ayb2kztbxMhjymvTLlswLJf4F6aOdcZzUWfs8DL3ukucLpgcmFELel37cb/8dDqIHfnqAJ+Y+QVJkElXuKt449Q3O6HFGaIGCaZL4rnqj1LvDEgKTvyF19KQheFJP48UXYcYM2LxZ2lIyM2XyiWBgcHq61IGC5Yk77oBHH/112z5yJMyZI49nzpTJJJTaI43t+fP5rh9UrJB2vrFLJM6mfIX0cc67UJbRxG9KHVbK68s567OzWFm4EqfNSVp0Gl+e+yVZcVkNyzwz/xlu+v4m0qPTeePUN6jx1HDRxIvwGT6mXzKd0R1GN13pYZb4DWTih0WLpOxUXBya6NhikfbUjAy45JKWV63U70FhIYwdK5NUtGkDL7wAo0aFEh2Wl0vf6+DBcj5Mny4TghmGTE5rt8tgQ59P+hRuv13e9+bSN/n7pL9zVLujSIxI5Kv1X/HImEe4c+TuE6urg6RsifSlVKySfpnI9pI4HQKJ/6Kg9718/TV8+CGsWSN9Gr16SX+i1RrqN3roIYkR2CeGT/qfDbf0Hdmcgb5Px97fq3477jKZELFqnTx2JkrCJ5C2l4g2zC+6lGHD5KlRo2TimWZteVsmUgc4ZipkHC/HwLJbJNFZxYpDl/gNYOe3sOllScKW0F8mlXTEyLHqKZN2lH6/shGkJb56iZ/wVkmsmGkG4idiILJd0zgmpZRSSimllFJK/T6Zhkx2WJ8v4ycMD2CVpNphiTJeomS+xKNVrpbE+RGZ0l5msUhsR1gS9Lz9UH8TpZRSSv0JHLTEb3fffTePPfYYW7ZsoX379g3Pb9q0iT59+uByuWjfvj2RkZGsW7cOq9XKwoUL6d+/f6s3/oorruCjjz6ivLwcuz00K9LHH3/M+eefz5w5cxg+fPhe1/NHSvwGcOWkK3lt6WtcPuBypm+dzpbyLUy9aOpug/pbI686j+4vdMflczHtkmmc/OHJePweVl61km7J3RqWm7xxMid/eDLZ8dlMvmAyfV/pi8PmYP2168mMzZSFNEGQ2puqDTB1sHSmZl8EfR+DyDah1+vypIJluGDaKHAXQ9vToOt1MsucLVwGpFetg/gjYNFVUDQTItrC6TtkHZVroHB6aJ0JAyFl79cJpZRS6oDwVsuAubpcSBsDR38j96/GDJ8kUFBKHXLHHSfB0iDJIUaMaH65Nm0gP18eV1ZKUqOWLMlbwuDXBxMXHseW67cw+v9Gs7xgOW+f9jZ/7ffXA7r9+8o0TQa9Poil+Ut549Q3MDG5fNLlDGoziIV/XxiaabixlgbqmyYUzoDin6UjxHBLQKrFBpgQngYDn5fBv7uua9f1eSphSj9JFpd6DIz8TGadbsxV1DRxzR/c99/DuHHy+LTT4Msvm1+urEySkKxaJQMCnnhC3peaKgMAdu6EdevgxBMP7PY1Pnd+/LFpIhTVSvWFULtVyg7++kCgcSxEZkJUuwP7Wds+gHkXyeORX0jiNsMvnZ1B1jDpyJx3oQxej+4os29HtpOEmZ5SmQW+w18gaUgrP/dDWPh3uT50uRbanCznsWlIJ2vFylDSgINlT4PNvusr2wBwxAPQ43aZVX32OZD7GSSPwD96Nqmpcq4B3HwzPPigDDgDSQQ0f74Mzk9Ph/p6ef6vf5XzMTlZzsOHHoL27eGGW1wkP55Mrbe22c2ddvE0xnQcc+C+v/p9ak0ba/F8+CGQNHHg89A1kAV0w/PgKg4t1/MOGUzU3LobnxMFM+DHMbuvD2DhFbD5dUgcjHHCfOIfjafaU93sZrWPa8+2G7cB4Pa56f5id7ZVbOPbC77l3RXv8unqT7lr5F08PKaZ7Fh7GRxaUSGJttatg6oqScxlmjL4KT1d7pd/gKZ/tZ+8XikDzZghSSOfew4uuECStoEMhFy9Grp2DV3D9+SVV+AfgVxT110n62vOeefBJ5/I46++koTRSqlGWqpPli6CWadKYrfM06H9hVIOtlil7le5BrIvhJ9OgYrlENsDTl4j7y2eDaWLYdlN8vfgV2XCIXeJJIs79vvmlxvzE1scmXR6TrJW90/vT6wzlvyafDaUbiA+PJ6iW4tw2EKDYe//6X4em/MYFiwkRybz86U/N0msoNTvXuVq2PCCtO34aiGmW2AArltmQI7tDoNfksSMm1+XBMNYIbqDDB7318lyGeMOft3uD8TnCyUwgaYTTkybBmN+RZXQNCURhGFImaeu7tdvr1LqD8bwwSeB8k7Hv0nid4CV/4TcL0LLDXwB0kfv/n6l1GHL4/fQ/YXubK3YyqTzJ7GqcBV3z7ibcZ3H8d2F3+3+hgOR0K21saIaU6pUE4Yhk34tXixJ3qqrpexutUobd9u2khzaat37uhp7ZfErzMqZBUi7x20jbjsIW68OBndgHjyn89Buhzo8/PCDTIAEMinl11+3sOD6Z2HpjfL4hIUymbrfBZvfCC0TliDtrIea4ZMJO/0uiUmwx0i/vFJKKaWUUkoppZRSSiml1J/AQUv8NmrUKGpqali6dGmT56+77jpefPFFrrnmGp5//nkAvvjiC8466ywuvfRS3nzzzVZv/HfffcdJJ53Exx9/zLnnntvw/IknnsjKlSvZvn07Npttr+v5oyV+q3JX0fPFnuys3gnAX/v9lbdPe3u/1/fUvKe4ZeotOG1O3H43d4+8m4fGPLTbcid/eDKTN04mLSqNwtpC7j/mfu49+t79/lz1J1WzBba8BfnfQ+12wJTZ5Uw/OOLhiH9Du3Nk8Hv+FCj6SQaEe8rl/WFxMvC8yzUySP3HMTJovONl0PNOGZxuscp7SuZDyog/VYIIpZRSh4HK1bD8DiiYJjNFJI8AZ5IkdanZArZIOK6l6TiVUr+ladMkYNI0YfhweO896Ngx9HpNDeTlwTPPwMsvy3NPPQU33bT7uhqPW7jwiwv5cNWHDMscxrwd8+iT1odlVy7DatnH6OyDYNqWaRz/3vFkx2cDsK1iG9Mvmc7oDi0M4mppoP7+2NPgkNocWPs47PxGyvmx3SUI1VcrCeHanAzD/u/Xb8PvxOLFMpM7wLBhMHduy8t6PDB5siQ6Wb1aZoKvqoKwMEkAN3iwJKA6kHJzZWDy8uWSUOWSS2DgQJmNvLwcVq6URIqNmnLUobb0Ztj4ojzOPB3i+0hAtacUKn6BtqdAx0vldU8llC6QpBveSsAER5wk40ga0jSJ1N54yiVJZOlimbnbWyXB3M5kSfDe9ZoD/U2baum64yqCiWnyuO2pMKpRxPz8v8LWdyF5BD+Hz2bUKHl60CBYtGj3jzBNSc44YYL8PXy4JBPddSxbRQXEx8MZn5zBl+u+5Poh1/PY8Y8xbcs0Tv3oVOLD4ym+rRi7JghWrWGaMO0oKJkDkVkw4lNIHhp63VMO1ZtkkEdjLZ0TK++F1Q/K41M2QUwnqbtM6R+YCc8LiYNh7EKO+7/jmL51Os05r/d5fHTmRw1/f77mc87+7Gzax7Vne+V20qPT2XDdBqLDond/c2sHmyrVAq8XPv0UpkyR63V5uRxWjsAEjdnZcr1OTNz7uu65Bx4O5Cd8+WW46qrml5s0KZTsbexYWX/4LrnfXa7dn1PqT2NP9Um/R5JIlcyVpG2eCunbCUuEqPbQ4WL4MhN81ZB5BhwVSESy7DZY99/Qevo/Cctukcc9bod+j8njWafBzkZlvDE/QeooBrw6gGUFy3jhxBe4Zsg1XPXNVby65FUu6XsJ757+7gHfBUr9rvgDk3NZw/c8+Nbvlom8bJFg3XushtqzF1+EawN5ly+/HF577detb8wYaSMCKReNHfvr1qeU+gOaOlTa/qI7w7ilkvRTKfWH8OGqD7nwiwvpk9aHHVU7qHBVsOzKZfRJ67P7wgci8ZtSSimlDorTTgslfLv9dmkvaN9ebss5OTBrFlx6UTV8d4TE2sT3hYHPQuIQsEdIn3z5Cpn8LfnIQ/tllFJKKaWUUkoppZRSSiml/uQOWuK3rKwsjjnmGN57770mz3fp0oXc3FyKi4uJiQkFhx199NHk5+ezYcOGffoCJ5xwAosXL+axxx6jc+fOfPTRR7z++uu8//77XHhh62Yh+qMlfgMorSul0l0JQJuYNoTb93/kkM/w8ejsR/H4PVgtVm4fcTuRjsjdlttQuoErv7kS0zSJccbw2dmf/arPVQoIBYW1ZnbP5pTMg3VPyeCg+jyw2AALYMgg8mO+l5nnlVJKqd+atwaq1oG7WGattEdBRBuI6SZBVkqpw8LkyXD//ZIcwjQlWDIpCSorYetWuPFG+Ne/JIHVd9/Je0aMkMQ+8fFQUgILFsBFF8E//iGvb6vYRvcXuuP2y9TMUy6cwtjOh88oy7Hvj2Xq5qkAjOs8ju8u/C70YmvL5fszuKO1g0O8NZKMylcr187wdEkW/Sdz8slyfIIcg3fcARGB24fPBz/9BEcfDfZDmCNqxQo5L3Jz5Vxwu+W86NhRzplu3Q7dtqlmeKskCXvNVimfmD5JsBiVDenHQ0TGod7CA6+l6872z2DOOfJ45OeQdWbotUaJ3+6cPpvHArlDHnoI7r67+Y+56ip49VV5/MorcOWVLW/SO8vf4dKvLqVnSk9WX72am7+/mafnP71bwiyl9spdBivvluPZUyaJcpzJkiCnvgCyJsjx3VhL50TjJDpnlkNYPNTtgNlnhZaJ6wVHvsm9M+7lwZ8fJCM6gwuPkPb515e+TqW7kmfGPsMNQ29o8pFnfnomvxT9AsB9o+7jwj4ttOnrIFJ1GPnwQwh2P110kSSIbsmTT8K//y1Jo5OS4LjjIC0Nqqvhl1+gUyf4SC/v6s/q1yYSn9QFajZB4kAYu1ie89VLUtLGJqbIBEEdLoWhb8lz1ZtCEwoBxPYARzQP//ww98y4h+M7Hs/3F31P1tNZ7KzeyaTzJ3FK11P2bzuVUupXMAy4+GIpfwAceSSccoqUJyorpe0lJUUmo2iNLVvg+OPlf6cTLrgAhgyB2FjIz5fJBS69VD5DKfUnVbYMZp4gyXejO0H2xZJ41/BA1XoonQ/HzznUW6mU2g+maTLo9UEszZeJnPeY4FoTvymllFKHLb8f3n0XPvtMJuMrKAi9FhEBRxwhcUrUF8Lax6BgKlStlTZSq0MmdApPg36PQ4dLDtXXUEoppZRSSimllFJKKaWUUhzExG8RERHcdNNNPPzwww3PVVRUkJiYyFFHHcVPP/3UZPkbbriBN954g9ra2n36AjU1Ndxzzz18+umnlJWV0b17d+666y7OO++8Vq/jj5j4TSnVDHcpeKul49qZsufZ6JVSSimllGqkrg5WroS8PEmqFRsLXbpIooagZctk5twlS6CoSAZmJiVBz56SGKJjx9Cyla5KfIYPi8VCYkTib/+F9qDKXUVxbTEAKVEpxDoPYj25NYnkdKBIs8rL4Zpr4OOPZRdFRkJ2NlitkpSwtlb+Re6et10pFdTSoLSV/4TVD8njUzZATBdJDjJzHLiKJHFW8gjOeGk2X34pi02fDqNHN/8xAwfCUhlLx6pV0Lt3y5tUUldC2n/TMEyDnBtzGPf+ONaWrOWjMz/ivN6tb+9UqonqzVCbIwkdHTEQ2R4i2+y+XEvnxKZXYdFV8vjYHyD9uBY/avLGyZz84ckkhCdQdkcZLp+LmEdi8Bk+Fvx9AUPaDtm/76CDSNVhxOeD7t1h82ZJsvvMM5LUM5hwt7RUkvBOmCB/V1VJEpXFi2H7dvB4IC5O6gfHHy/1BaX+FA50IvHVD8PKe+Tx8I+g/S5lpdociMyCWadB3jfgiIOTVkNk26bL+d0NycQ3lm6k6wtdCbOF8d2F3zHm/8YQ64yl+LZiwrRPSSl1CC1eDFOmyOQU27eD1yvliS5dJHnbCSe0fl1utwwO//lnaccsLZXnU1JkcPgdd0DXrgfneyilfifcZZDzARTPhopfwF8nk7BEtoPkYdD73kO9hUqp/VRWX0ZZfRkAGdEZRIVFNb/gntritG9PKaWUOqxUV0tsiNMpE/E1e6v21clEUaYJzkQp3yullFJKKaWUUkoppZRSSqlDbl9yntn3ZcV2u52Kioomzy1btgyAQYMG7bZ8dHT0vqy+yfueffZZnn322f16v1LqT8SZJP+UUkoppZTaR5GRMHTonpfp31/+tUZceNyv36iDJNYZe3CTvakDIiEBPvwQnntOEoksXSoBvU4ntG8Pw4Zp0jel9pu3KvQ4PF3+N9xQs7nJYo3nr9hTu2rjJtLMzD1/dHJkMsMyhzEndw6vLH6FtSVrcVgdnNj5xNZtu1LNiekk/5rT0kDNxs+7SmHJDXIerHkMUkY1nVDBVw+uAojuwNBMKTCVu8rZVLaJkroSfIaPcHs4/dNbWVBS6jBnt8NXX8GZZ8L69XDttXDXXZKEt74etmyRpCnBxG+xsTBunPxT6k/tQA/873IN5HwMlatg7vmSqDS+D5h+KF8OpfPg7Fro9U8o+AG8lTClH3S5GmK6ga8GSuZD+RI4cYWsMqkLfdL6sLJwJdd/dz0Ap3Y9VZO+KaUOuUGD5N+B4HTCRRfJP6WUapYzEbpeJ/+UUn8oiRGJLU9I1Zp2Qk3oppRSSh12YmLk3x7ZI+WfUkoppZRSSimllFJKKaWU+t3ap8RvXbt2Zfr06U2emzp1KhaLheHDh++2fF5eHhkZGb9uC5VSSimllFJKKfX7oQNEfrXkZBg/Xv4ppQ4Ua+ihxSb/26IgZWTo+fg+NJ7HorJyD2trtLrWXPbGdxvPnNw5PD3/aQBGtR91WCcMVX8CzkTodhOsfRQKp8G3XSHzTAiLg6oNkD8Zev8bul1PYkQiXZO6sqF0A4vzFlNcWwzAgIwBOGyOQ/s9lDqAevWCVatg5kyYOhVWrJCEoJmZcNpp8k8pdZCFxcEJ82D9M7BjIhT9BEUz5bWIDGh/AVgckHwkjJ4BK+6Akrnwy/1N15M2usmfZ/U4i5WFK1ldvBqAs3ueffC/i1JKKaWUUkr9XmjfnlJKKaWUUkoppZRSSimllFJKKaXUb26fEr+deeaZ/POf/+TKK6/kmmuuYdOmTbz88stER0czbty43ZafM2cOnTt3PmAbq5RSSimllFJKKaWUUvvMmRh6XLsN4npCdDYc93OTxbp3Dz2ePx/GjGl+dUlJsGmTPN68GQYN2vPHn9btNO6Ydgcun6vhb6UOmtYO1Oz7MDiTYMOzUJsD658KvWaLhKh2DX8OyxzGhtINLNq5iJL6kobn9pnFsvfndaCpOoQcDjj+ePmnlDpE7FHQ6x7556sFbzXYo8ER3XS5lOFSlnMVQelC8NeBIx7iekFk2yaLnt3rbO6beR8AMWExjO089jf6MkoppZRSSil1CGk7m1JKKaWUUkoppZRSSimllFJKKaXUYWufEr/ddNNNfPLJJ7z++uu88cYbAJimyRNPPEFUVFSTZRcvXsymTZu48sorD9zWKqWUUkoppZRSSiml1L5KHBx6XDJfEr8146ST4JFH5PEXX8Ddd++ep8o0YcQIWLBA/v75570nfuuW3I2j2x/N9srtAIzvNn5/voVSB5bFAj1uhe63QMk8qNkiz0W1h8RBYAtvWHRo5lDeXfEui/IWUVL3KxK/KaWUUvvCHiX/9iQ8FdqessdFuid3J+/mPExMwmxhhNvD97i8UkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKXUwWUxz36b1q6mp4emnn2b+/PkkJiZy9tlnM3787gMVX3vtNb777jsef/xxunTpcsA2uLWqqqqIi4ujsrKS2NjY3/zzlVJKKaWUUkoppZRSv4FdM7M1x1MN/0sA0wfJw+C42WCxhl43vFCXiz+iI2lpUFoqT193nSSCi4qShG9ffgmLFsExx8DYsbJM9+6wfDk4naHVmSZs2wYdOhyYr6jUobaiYAX9Xu1HhD0Ct9+NYRrsvHknbWLaHOpNU0oppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkqpQ25fcp7tc+K33wtN/KaUUkoppZRSSiml1J9AaxK/mSZMHw1FP8rfbcfDEQ9AeAoUz4HVD0HnK6HLVbz8Mlx9deitSUnQpYskcisogEsvhZdegszMUIK4o4+G//4XOnWCFSvgoYdgzBi4884D/m2VOiT8hp/4x+Kp8dQAkBWbxfabth/irVJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKqcPDvuQ8s/9G26SUUkoppZRSSimllFIHXmvntejzAEwfBaYBO7+Wf834xz9gyxZ48klZdWlpKMEbgMMB4eGS6O3SS+W5n36CwYObrmfMmP34LkodpmxWG0PaDmHG1hkADMsadoi3SCmllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimlfp+sh3oDlFJKKaWUUkoppZRS6qBLGQGDXwd79O6vWawQkdHw5xNPwJo1cNll0KkTpKfD8OGS7O3pp2WZv/4VHnsMIiKa/7i0tAP/FZQ6lEZkjcBmsWGz2BieOfxQb45SSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSv0uWUzTNA/1RhwMVVVVxMXFUVlZSWxs7KHeHKWUUkoppZRSSiml1OHAVQzr/gtlS8Fqh/h+0OFiiOu5X6srKoJnn4X588Hjgd694S9/gaFDD+xmK6WUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUurwtC85zzTxm1JKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJK7Yd9yXlm/Y22SSmllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSiml/rQ08ZtSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSh1kmvhNKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaUOMk38ppRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSB5kmflNKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKqYNME78ppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppdRBponflFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFLqINPEb0oppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkopdZBp4jellFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllDrINPGbUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkodZJr4TSmllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimlDjJN/KaUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUgeZJn5TSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSqmDTBO/KaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaXUQWY/1BtwsJimCUBVVdUh3hKllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSiml1B9RMNdZMPfZnvxhE79VV1cDkJWVdYi3RCmllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSimllFJKKaWUUkoppZRSSin1R1ZdXU1cXNwel7GYrUkP9ztkGAZ5eXnExMRgsVgAyYiXlZVFbm4usbGxh3gLlVJKKdUcvV8rpZRSvw96z1ZKKaUOf3q/VkoppX4f9J6tlFJKHf70fq2UUkr9Pug9WymllDr86f1aKaWU+n3Qe7ZSSin1+6D3bKWUUurwYpom1dXVtGnTBqvVusdl7b/RNv3mrFYrmZmZzb4WGxurhRb1/+zdd3hUVeLG8XfSG0lIIKGH3qsUsVIUUMEVu2LDsvqzr20VBAEV265iL6u7ImtBRJS1gIVmoUiV3pMQCCQkpPdk5vfHyeTOkB4SEsL38zx5uHPvmXvPhMncufec8x4AQAPH+RoAgFMD52wAABo+ztcAAJwaOGcDANDwcb4GAODUwDkbAICGj/M1AACnBs7ZAACcGjhnAwDQcISEhFSpXMWxcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAE0bwGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADUsdMq+M3X11fTpk2Tr69vfVcFAACUg/M1AACnBs7ZAAA0fJyvAQA4NXDOBgCg4eN8DQDAqYFzNgAADR/nawAATg2cswEAODVwzgYA4NRlczgcjvquBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0Zh71XQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAaOwIfgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAOkbwGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADUMYLfAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKCONfrgt8zMTP3tb39Tq1at5Ofnp/79+2vu3Ln1XS0AAE5by5cvl81mK/Nn9erVbmU3bNigCy+8UEFBQQoNDdUVV1yh/fv311PNAQBovDIyMvT3v/9do0ePVvPmzWWz2TR9+vQyy1bn/PzGG2+oe/fu8vX1VYcOHTRjxgwVFBTU4SsBAKDxqur5euLEiWVec3fv3r3M/XK+BgCg9ixdulS33XabunfvrsDAQLVu3VqXXXaZ1q9fX6os19cAANSfqp6zucYGAKD+bNq0SWPHjlW7du3k7++vsLAwnXXWWfr4449LleUaGwCA+lPVczbX2AAANCwffPCBbDabgoKCSm3jOhsAgIajvHM219kAADQOXvVdgbp2xRVXaO3atXrhhRfUtWtXffrpp7r++utlt9s1YcKE+q4eAACnreeee04jRoxwW9e7d++S5Z07d2r48OHq37+/5s2bp9zcXD311FM677zztGnTJjVv3vxkVxkAgEYrOTlZ//rXv9SvXz+NHz9eH3zwQZnlqnN+njlzpqZOnaonnnhCo0eP1tq1azVlyhQdOnRI//rXv07WSwMAoNGo6vlakvz9/bV06dJS647H+RoAgNr1zjvvKDk5WQ8++KB69uypo0eP6uWXX9bQoUP1ww8/aOTIkZK4vgYAoL5V9ZwtcY0NAEB9SU1NVdu2bXX99derdevWysrK0ieffKKbbrpJMTExmjJliiSusQEAqG9VPWdLXGMDANBQHDp0SI8++qhatWqltLQ0t21cZwMA0HBUdM6WuM4GAKAxsDkcDkd9V6KufP/99xo7dmxJ2JvT6NGjtW3bNh04cECenp71WEMAAE4/y5cv14gRI/TFF1/oqquuKrfcNddco2XLlmnfvn0KDg6WJMXGxqpLly566KGH9OKLL56sKgMA0Og5bw3YbDYlJSWpefPmmjZtmqZPn+5Wrqrn5+TkZLVp00Y333yz3nvvvZLnP/fcc5oyZYq2bt2qnj17npwXBwBAI1HV8/XEiRM1f/58ZWZmVrg/ztcAANS+xMRERUREuK3LzMxU586d1bt3b/3888+SuL4GAKC+VfWczTU2AAANz9ChQxUfH68DBw5I4hobAICG6vhzNtfYAAA0HJdeeqlsNpvCwsJKnZ+5zgYAoOGo6JzNdTYAAI2DR31XoC599dVXCgoK0tVXX+22/tZbb1V8fLzWrFlTTzUDAAAVKSws1Lfffqsrr7yypKFAkqKiojRixAh99dVX9Vg7AAAaH5vNJpvNVmGZ6pyfFy9erNzcXN16661u+7j11lvlcDj09ddf12r9AQA4HVTlfF0dnK8BAKh9xwfISFJQUJB69uypuLg4SVxfAwDQEFTlnF0dnLMBADh5mjVrJi8vL0lcYwMA0JC5nrOrg3M2AAB16+OPP9aKFSv09ttvl9rGdTYAAA1HRefs6uCcDQBAw9aog9+2bt2qHj16lGos6Nu3b8l2AABQP+699155eXkpODhYY8aM0W+//Vaybd++fcrJySk5Z7vq27ev9u7dq9zc3JNZXQAATnvVOT87r7f79OnjVq5ly5Zq1qwZ1+MAANSxnJwctWjRQp6enmrTpo3uu+8+HTt2zK0M52sAAE6OtLQ0bdiwQb169ZLE9TUAAA3V8edsJ66xAQCoX3a7XYWFhTp69Kjefvtt/fDDD3r88cclcY0NAEBDUtE524lrbAAA6ldiYqL+9re/6YUXXlCbNm1Kbec6GwCAhqGyc7YT19kAAJz6qj99yikkOTlZHTt2LLU+LCysZDsAADi5QkJC9OCDD2r48OEKDw/X3r179Y9//EPDhw/Xd999pzFjxpSco53nbFdhYWFyOBxKSUlRy5YtT3b1AQA4bVXn/JycnCxfX18FBgaWWZbrcQAA6k6/fv3Ur18/9e7dW5K0YsUKzZo1S0uWLNHatWsVFBQkSZyvAQA4Se69915lZWXpySeflMT1NQAADdXx52yJa2wAABqCe+65R++9954kycfHR6+//rruuusuSVxjAwDQkFR0zpa4xgYAoCG455571K1bN919991lbuc6GwCAhqGyc7bEdTYAAI1Fow5+kySbzVajbQAAoG4MGDBAAwYMKHl83nnn6fLLL1efPn3097//XWPGjCnZxnkcAICGp6rnZ87jAADUj4ceesjt8ahRozRgwABdddVVev/99922c74GAKBuTZ06VZ988oneeOMNDRw40G0b19cAADQc5Z2zucYGAKD+TZ48WXfccYcSExP1zTff6L777lNWVpYeffTRkjJcYwMAUP8qO2dzjQ0AQP368ssv9c0332jjxo2Vnk+5zgYAoP5U9ZzNdTYAAI2DR31XoC6Fh4eXmTJ77NgxSWUnzwMAgJMvNDRU48aN0+bNm5WTk6Pw8HBJKvc8brPZFBoaepJrCQDA6a065+fw8HDl5uYqOzu7zLJcjwMAcHJdfvnlCgwM1OrVq0vWcb4GAKBuzZgxQ88++6xmzpyp++67r2Q919cAADQs5Z2zy8M1NgAAJ1e7du00aNAgXXLJJXrnnXd05513atKkSTp69CjX2AAANCAVnbPLwzU2AAAnR2Zmpu69917df//9atWqlVJTU5Wamqr8/HxJUmpqqrKysrjOBgCgnlX1nF0errMBADj1NOrgtz59+mjHjh0qLCx0W79lyxZJUu/eveujWgAAoAwOh0OSSYjv1KmT/P39S87ZrrZs2aLOnTvLz8/vZFcRAIDTWnXOz3369ClZ7+rIkSNKSkriehwAgHrgcDjk4WE1CXC+BgCg7syYMUPTp0/X9OnTNXnyZLdtXF8DANBwVHTOrgjX2AAA1J8hQ4aosLBQ+/fv5xobAIAGzPWcXRGusQEAqHtJSUlKSEjQyy+/rKZNm5b8fPbZZ8rKylLTpk11ww03cJ0NAEA9q+o5uyJcZwMAcGpp1MFvl19+uTIzM/Xll1+6rf/oo4/UqlUrnXnmmfVUMwAA4ColJUXffvut+vfvLz8/P3l5eenSSy/VggULlJGRUVLuwIEDWrZsma644op6rC0AAKen6pyfL7roIvn5+Wn27Nlu+5g9e7ZsNpvGjx9/kmoNAAAkaf78+crOztbQoUNL1nG+BgCgbjzzzDOaPn26pkyZomnTppXazvU1AAANQ2Xn7PJwjQ0AQP1atmyZPDw81LFjR66xAQBowFzP2eXhGhsAgJOjRYsWWrZsWamfMWPGyM/PT8uWLdOzzz7LdTYAAPWsqufs8nCdDQDAqcervitQly6++GKNGjVKd999t9LT09W5c2d99tlnWrx4sT7++GN5enrWdxUBADjtTJgwQe3atdOgQYPUrFkz7dmzRy+//LISEhLcbh7MmDFDgwcP1rhx4/TEE08oNzdXTz31lJo1a6ZHHnmk/l4AAACN1KJFi5SVlVXSUL99+3bNnz9fknTJJZcoICCgyufnsLAwTZkyRVOnTlVYWJhGjx6ttWvXavr06brjjjvUs2fPenmNAACc6io7Xx89elQTJkzQddddp86dO8tms2nFihV69dVX1atXL91xxx0l++J8DQBA7Xv55Zf11FNP6aKLLtLYsWO1evVqt+3OTnVcXwMAUL+qcs6OjY3lGhsAgHp05513Kjg4WEOGDFFkZKSSkpL0xRdf6PPPP9djjz2m5s2bS+IaGwCA+laVczbX2AAA1C8/Pz8NHz681PrZs2fL09PTbRvX2QAA1J+qnrO5zgYAoPGwORwOR31Xoi5lZmbqySef1Lx583Ts2DF1795dkyZN0nXXXVffVQMA4LT0wgsv6PPPP1d0dLQyMzMVFhamc889V5MmTdLgwYPdyq5fv16PP/64Vq1aJS8vL40cOVL//Oc/1alTp3qqPQAAjVf79u0VGxtb5rbo6Gi1b99eUvXOz6+//rreeustxcTEqEWLFrr11lv15JNPytvbuy5fCgAAjVZl5+uQkBDdfvvt2rhxoxISElRUVKSoqChdfvnlmjx5skJCQko9j/M1AAC1Z/jw4VqxYkW5212b5rm+BgCg/lTlnJ2SksI1NgAA9ejDDz/Uhx9+qB07dig1NVVBQUHq16+f7rjjDt14441uZbnGBgCg/lTlnM01NgAADdPEiRM1f/58ZWZmuq3nOhsAgIbl+HM219kAADQejT74DQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADqm0d9VwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGjuC3wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgjhH8BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB1jOA3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKhjBL8BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQB0j+A0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6hjBbwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQxwh+AwAAAAAAAAAAAAAAAACctmJiYmSz2TRx4sRqPc9ms2n48OF1UicAAAAAAAAAAAAAAAAAQONE8BsAAAAAAAAAAAAAAAAAoN44g9dcf3x8fNS2bVtNmDBBmzdvrpd6DR8+XDabrV6ODQAAAAAAAAAAAAAAAABonLzquwIAAAAAAAAAAAAAAAAAAHTq1Ek33nijJCkzM1OrV6/WZ599pgULFmjp0qU6++yz6+S4rVu31o4dOxQSElKt5+3YsUMBAQF1UicAAAAAAAAAAAAAAAAAQONE8BsAAAAAAAAAAAAAAAAAoN517txZ06dPd1s3ZcoUzZw5U08++aSWLVtWJ8f19vZW9+7dq/28mjwHAAAAAAAAAAAAAAAAAHB686jvCgAAAAAAAAAAAAAAAAAAUJb7779fkrR27VpJUmFhoWbNmqV+/frJ399fISEhGjFihL777rtSz7Xb7frggw80ZMgQhYWFKSAgQO3bt9f48eP1yy+/lJSLiYmRzWbTxIkTS9bZbDatWLGiZNn5c3yZ4cOHlzpucnKyHnroIXXo0EG+vr6KiIjQtddeq+3bt5cqO3HiRNlsNsXExOjtt99Wjx495Ofnp6ioKM2YMUN2u70mvzYAAAAAAAAAAAAAAAAAQAPlVd8VAAAAAAAAAAAAAAAAAACgLDabrWTZ4XDo2muv1YIFC9S1a1fde++9ysrK0rx58zRu3Di99tpreuCBB0rKT5o0SS+99JI6deqkCRMmqEmTJjp06JB+/fVXLV26VOeff365x502bZpmz56t2NhYTZs2rWR9//79K6xvcnKyhg4dqr1792r48OG67rrrFBMTo/nz5+u7777TTz/9pLPOOqvU8x577DEtX75c48aN0+jRo/X1119r+vTpys/P18yZM6vxGwMAAAAAAAAAAAAAAAAANGQEvwEAAAAAAAAAAAAAAAAAGqTXX39dkjR48GB9/PHHWrBggYYNG6Yff/xRPj4+kqQnn3xSAwcO1KOPPqpLL71UHTp0kCR98MEHat26tTZv3qyAgICSfTocDqWkpFR43OnTp2v58uWKjY3V9OnTq1zfv//979q7d68mTZqk5557rmT9xIkTddFFF+mWW27Rzp075eHh4fa89evXa/PmzWrZsqUkaerUqerSpYveeOMNTZs2reS1AgAAAAAAAAAAAAAAAABObR6VFwEAAAAAAAAAAAAAAAAAoG7t3btX06dP1/Tp0/Xoo4/q3HPP1cyZM+Xn56fnnntOs2fPliS99NJLbkFobdq00UMPPaSCggJ98sknbvv08fGRl5f7/Kg2m01hYWG1Xv/8/Hx99tlnCg8P15QpU9y2jRkzRmPGjNGePXu0cuXKUs+dOnVqSeibJDVr1kyXXXaZMjIytGvXrlqvKwAAAAAAAAAAAAAAAACgfhD8BgAAAAAAAAAAAAAAAACod/v27dOMGTM0Y8YMvf7664qNjdWECRP0xx9/6KyzztLGjRvl7++vIUOGlHru8OHDJUmbNm0qWXfNNdcoOjpavXv31tSpU/Xzzz8rKyurzuq/c+dO5eTkaMiQIQoICKhSHZ3OOOOMUuvatGkjSUpNTa3NagIAAAAAAAAAAAAAAAAA6hHBbwAAAAAAAAAAAAAAAACAejdmzBg5HA45HA7l5+crLi5On3zyifr06SNJSk9PV2RkZJnPbdGihSQpLS2tZN3rr7+ul156Sd7e3nr22Wc1atQoNWvWTLfccouSkpJqvf7p6emSVK06OoWEhJRa5+XlJUkqKiqqrSoCAAAAAAAAAAAAAAAAAOoZwW8AAAAAAAAAAAAAAAAAgAYvODhYCQkJZW5zrg8ODi5Z5+3trccee0zbtm3ToUOH9Omnn+q8887TnDlzdMMNN9RJ/VzrUpU6AgAAAAAAAAAAAAAAAABOLwS/AQAAAAAAAAAAAAAAAAAavAEDBignJ0d//PFHqW0rVqyQJPXv37/M57Zq1UrXX3+9Fi9erC5duujnn39WTk5Ohcfz9PSUJBUVFVWpft27d5efn5/Wrl2r7OzsatcRAAAAAAAAAAAAAAAAAND4EfwGAAAAAAAAAAAAAAAAAGjwbrnlFknSpEmTVFBQULL+0KFDeuWVV+Tl5aUbbrhBkpSXl6elS5fK4XC47SMrK0sZGRny9vYuCXYrT1hYmCTp4MGDVaqfj4+Prr/+eiUlJen555932/bzzz9r0aJF6ty5s84555wq7Q8AAAAAAAAAAAAAAAAA0Ph41XcFAAAAAAAAAAAAAAAAAACozE033aQFCxZo4cKF6tu3r8aNG6esrCzNmzdPycnJevnll9WxY0dJUk5Oji644AJ17NhRZ555ptq1a6fMzEx9++23OnLkiB5//HH5+PhUeLyRI0dq/vz5uvrqq3XJJZfIz89Pffr00dixY8t9zosvvqgVK1bo2Wef1cqVK3XmmWcqJiZG8+fPV0BAgD788EN5eDBfKwAAAAAAAAAAAAAAAACcrgh+AwAAAAAAAAAAAAAAAAA0eDabTfPnz9drr72mjz76SG+88YZ8fHx0xhln6OGHH9Zf/vKXkrKBgYF68cUXtWTJEv36669KTExU06ZN1b17d7344ou69tprKz3eX//6V8XExGju3LmaOXOmCgsLdcstt1QY/Na8eXOtWbNGzzzzjBYuXKhff/1VISEhuuyyyzRt2jT17t27Vn4XAAAAAAAAAAAAAAAAAIBTk83hcDjquxIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0Jh51HcFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKCxI/gNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOoYwW8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUMcIfgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAOkbwGwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADUMYLfAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKCOEfwGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHWM4DcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAqGMEvwEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAHSP4DQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADqGMFvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFDHCH4DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgDpG8BsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1DGC3wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgjhH8BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB1jOA3AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKhjXvVdgbpit9sVHx+vJk2ayGaz1Xd1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQyDodDGRkZatWqlTw8PCos22iD3+Lj49W2bdv6rgYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACARi4uLk5t2rSpsEyjDX5r0qSJJPNLCA4OrufaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGhs0tPT1bZt25Lss4o02uA3m80mSQoODib4DQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAECdcWafVcTjJNQDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAE5rBL8BAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQB0j+A0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6hjBbwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQxwh+AwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIA6RvAbAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANQxgt8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoI4R/AYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAdYzgNwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACoYwS/AQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAdI/gNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOoYwW+nsPbt28tms2n27NmVlp09e7ZsNluFP4sXLy71vOnTp1f6PJvNpuHDh0uSJk6cWKXyx//ExMTU7i8HAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAaEC86rsCOLkiIiLUpUuXMrc1bdq03OcFBwerT58+5W53buvatavOOeecUtvXrVunvLw8denSRREREaW2+/n5VVZ1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4JRF8Ntp5uKLL9bs2bOr/bwBAwZo+fLllZabPHmyJk+eXGp9+/btFRsbq8mTJ2vixInVPj4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABwKvOo7woAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQGNH8BsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA1DGv+q4ATq4///xTEyZM0JEjRxQcHKwBAwboxhtvVKdOneq7agAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAECj5VHfFTje0qVLddttt6l79+4KDAxU69atddlll2n9+vX1XbVGYdOmTfrss8+0bNkyLVy4UNOnT1e3bt00c+bM+q4aAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0Gg1uOC3d955RzExMXrwwQf1/fff67XXXlNiYqKGDh2qpUuX1nf1TlmhoaG6//779fvvvyshIUG5ubnauHGjbrrpJhUVFWnKlCl68803y33+ihUrZLPZyv159dVXT96LAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAE4xXvVdgeO99dZbioiIcFt30UUXqXPnznruuec0cuTIeqrZqW38+PEaP36827r+/ftrzpw5Cg8P16uvvqopU6bolltuUZMmTUo9Pzg4WH369Cl3/61bt67tKgMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACNRoMLfjs+9E2SgoKC1LNnT8XFxdVDjRq/GTNm6J133lFaWpqWLl2qyy67rFSZAQMGaPny5Se/cgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAj4FHfFaiKtLQ0bdiwQb169Sq3TF5entLT091+UDXBwcElv9u9e/fWc20AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAxueUCH679957lZWVpSeffLLcMs8//7xCQkJKftq2bXsSa3jq8/b2liQVFhbWc00AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAxqfBB79NnTpVn3zyiWbNmqWBAweWW27SpElKS0sr+YmLizuJtTy1FRUVadeuXZKkNm3a1HNtAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgMbHqy52mpeXJ09PT3l5ndjuZ8yYoWeffVYzZ87UfffdV2FZX19f+fr6ntDxTlf//ve/lZqaKk9PTw0fPry+qwMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0Oh41feJvv/2mp59+WqmpqSXrkpOTdfHFFysoKEjBwcF68skna1yxGTNmaPr06Zo+fbomT55c4/1ASk9P1/XXX68//vjDbX1RUZHef/99Pfjgg5Kk22+/Xa1bt66PKgIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACNmldNn/jyyy9r8+bNeuqpp0rWPfLII/rhhx/UpUsXZWRk6IUXXtCAAQN01VVXVWvfzzzzjKZPn64pU6Zo2rRpNa3iaeP+++/Xo48+Wu72r7/+WnPnztXcuXMVGhqqDh06yMvLS3v27CkJ7rv44ov12muvlbuPjRs36txzzy13e5MmTbRo0aIavwYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgMatx8NumTZs0bNiwksfZ2dmaN2+eRo8ercWLFysjI0N9+/bV22+/Xa3gt5dffllPPfWULrroIo0dO1arV6922z506NCaVrnRyszMVGZmZrnbfX199dJLL2nlypXaunWr9u3bp5ycHIWHh2vs2LG6+eabdfXVV8tms5W7j/T0dP3+++/lbg8JCTmh1wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA0ZjUOfktMTFTr1q1LHq9atUq5ubm69dZbJUlNmjTRuHHj9OWXX1Zrv998840kafHixVq8eHGp7Q6Ho6ZVbnRiYmKqXHbw4ME1Osb06dM1ffr0Gj3XVXXqCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQ2NQ5+8/PzU0ZGRsnjFStWyGazadiwYSXrgoKClJKSUq39Ll++vKZVAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIAGqcbBb507d9bixYuVl5cnDw8Pff755+rZs6datGhRUubAgQOKiIiolYoCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwKnKo6ZP/Otf/6q9e/eqS5cu6tGjh/bu3auJEye6lVmzZo169ux5onUEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgFNajYPfbr/9dj322GPKzs5Wamqq7rrrLv3tb38r2b5s2TLt379fF1xwQW3UEwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABOWTaHw+Goix3n5+crJydHgYGB8vLyqotDVCg9PV0hISFKS0tTcHDwST8+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgMatOplndZbI5uPjIx8fn7raPQAAAAAAAIrl5Um+vvVdCwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAV8TjRHXz11Ve65ppr1LdvX3Xu3Llk/c6dO/XSSy/p0KFDJ3oIAAAAAACA00p+vvTqq9KIEdKDD0rJyWWX27BBGjxY8vOThg6Vdu48qdUEAAAAAAAAAAAAAAAAAAAAAAAAAAAAUA1eNX2i3W7X9ddfr/nz50uS/P39lZOTU7K9adOmevLJJ1VUVKRJkyadeE0BAAAAAABOE//3f9KHH5rl5culH3+UfvtNCg+3yqSkSH/5i+TM3F+zRrrgAmndOqlly5NeZQAAAAAAAAAAAAAAAAAAAAAAAAAAAACV8KjpE2fNmqUvvvhCd911l1JSUvToo4+6bY+MjNR5552n77777oQrCQAAAAAAcLpYuNAKfXPauVO6/373dQ88YIW+OcXHSw8+WLf1A1A+h6O+awAAAAAAAAAAAAAAAAAAAAAAAAAAABqyGge/zZ49W4MGDdLbb7+t4OBg2Wy2UmU6d+6s6OjoE6ogAAAAAADA6aKwULr77rK3ffaZlJ1tlrdtkz7+uOxyK1fWTd0AlM3hkF5+WWrRQmreXJoyxfwtAwAAAAAAAAAAAAAAAAAAAAAAAAAAHK/GwW979+7V+eefX2GZ8PBwJScn1/QQAAAAAAAAp5Uff5QOH6683H//W/d1ARq15D+kNbdLGx6R0nef0K7eflt69FEpIUFKTpZmzpTuuquW6gkAAAAAAAAAAAAAAAAAAAAAAAAAABqVGge/+fv7Kz09vcIysbGxCg0NrekhAAAAAAAATitVCXRzOKS5c+u+LkCjlbBM+nGotP8/0q5XpEV9pUPf1WhXf/4pPfxw6fX/+Y+0cOEJ1hNoYF5Z9Yr8nvWT37N++mjTR/VdHQAAAAAAAAAAGqUtW6Tx46V27aRrr5ViY+u7RgAAAAAAAAAAAACA2lbj4LcBAwbohx9+UF5eXpnbjx07psWLF2vo0KE1rhwAAAAAAMDpwuGQliypvNyBA3TuB2osP0VafbMkh7XOnietvFbK2FOq+Jw5Us+eUkSEdOedUlqa+/ZnnpHy88s+1I4dtVdtoCE4lH5IeUV5yivKU3xGfH1XBwAAAAAAAACARufQIenCC80EQ3Fx0rx50tln0z4MAAAAAAAAAAAAAI1NjYPfHnjgAcXFxemqq67SoUOH3Lbt27dPl19+udLS0vTAAw+ccCUBAAAAAAAau927paNH3dfdcot02WXu6377zf1xRIT0ySfS449LNlvd1tFp/35p2jTpqacIt8IpZucrUvbB0usLs6Qj7smLc+eav8EdO8zf5vvvSyNHStnZZntCghl0A5wuErISylwGAAAAAAAAAAAnrrBQuvpqKTHRfX18vHTHHfVTJwAAAAAAAAAAAABA3fCq6RMvu+wyPfHEE3rhhRfUrl07BQYGSpIiIiKUnJwsh8OhqVOnauTIkbVWWQAAAAAAgMZq5Ur3x3fcYYKmJOn556XJk83yH3+4l/vgA+nSS6UJE6TISOnll+u2nkuXSmPGmIEHzrp9+KF04411e1zghDnsUvRHVSq6fbt0222l12/YIM2caX4WLrT+DoBGwV4k2TzKTRE9knmkzGUAAAAAAAAAAFA5u136/nsz0Ve3btL110t+ftb2b76RVq0q+7l7956cOgIAAAAAAAAAAAAATg6PE3nyc889px9++EHjxo1TQECAPD09ZbfbddFFF2nRokWaMWNGbdUTAAAAAACgUdu/31oOC5NeecV6/Pjj0llnmeUDB6z1o0aZ0DenBx+Uzjij7uq4Z4901VXuYVeFhdKtt0qrV9fdcYFakfyHlB1XpaIvvijl5JS97fBh8+/Spe7r/fykrl1PoH5AfSnMkVbfJn3hL30ZKq1/QCrMKlWM4DcAAAAAAAAAAGrGbjdBb5deatqhbrtNGjxYOnTIKvP22/VXPwAAAAAAAAAAAADAyeVV0yceOHBAPj4+GjVqlEaNGlWbdQIAAAAAADjtHDxoLf/lL1KTJtZjDw9p2rTS5S6/3H0fHh7SpEl1V8dHH5VSUkqvLyyUVq6Uhg6tu2MDJyzxF/fHNk/J018qzHRbnZQkzZ1b8a4cDmn5cuuxl5e0YoU0ZIi0aJE0fnyt1Bioew6H9McdUuyn5rG9QNr9hglKHLlM8vIvKUrwGwAAAAAAAAAANTN5sjRvnvu6rVtNm9KaNVJqqrRkSX3UDAAAAAAAAAAAAABQHzxq+sQOHTroySefrM26AAAAAAAAnLZcA91GjCi9ffRoyc/Pvdw555Qud9ZZtV83SdqzR/rmm7rZN3BSJP1mLXsFSRdvka5MkfrMcCu2aJGUn1/xrlJSpIQE6/H06Sb0TZIuvlh6/vnaqTJQ56LnWKFvrpLXSNGzSx4WFBUoOSe55HFCVkLp5wAAAAAAAAAAcDpyOKSUzVL891JO6YlTdu6UXnyx7KeuWycVFUlLl5rdOAUGSn/7m8Tc7AAAAAAAAAAAAADQONU4+C0sLExhYWG1WRcAAAAAAIDTlmug28CBpbfbbKbTvzNsysdH6tnz5NRNkubOdR9sAJxy0ndZywPfkEJ6SB5eUu+npM53lWxavNj9aWPGSPPnSzfdZK07cMBa9vCQ7rjD/Tn33y917FiLdQfqgsMh7Xy5/O32gpLFxKxEt02puanKLcytq5oBAAAAAAAAAHBqcDikjQ9Li/tJK8ZKC9tKfz4p2YtKirxcwa14pxUr3B9/+KE0a5b0ww/SpEm1XGcAAAAAAAAAAAAAQL3zqukTzzvvPK1evbo26wIAAAAAAHBacjikuDjrcYcOZZc7fNgKX2vZUvKq8Z2d6vv+e/fHF18sDRsmzZkjbd9+8uoB1IjDIWUXpyt6h0hR17tv7/eilLBEkvT779bqXr2kL76QmjSRrrxSCg+X0tLc/14HDJAiI9135+1tyrv6bvd3SsgyyY0397tZXh4n8Q8YKMux9VLalioVPZJ5RJLk6+mrvKI8SVJCZoKiQqOqd0ybrfIypIwCAAAAAAAAAE4FDoe0/j5pz9su6wql7c9JRdnSGbNUUGDamiqzd6+1PH68dPXVZtlmk555Rtq/v1ZrDgAAAAAAAAAAAACoZx41feLzzz+vrVu3asaMGSosLKzNOgEAAAAAAJxW0tOlrCyzHBQkBQSUXe7gQWu5RYu6r5dTdra0Zo31+Pzzpa+/lh5/XFq3Tho69OTVBaiRglQzwEaSmp8nefq6b/cJkdqMV0GBe6jb00+b0DenF16QOnWSDhyw1g0ZUvYhPT3dHz/y4yO6/X+36/b/3a5D6Ydq/FKAWnPkR/fHQR2lyJGSzbN00eLgt1ZNWinYN9htHQAAAAAAAAAAp6XEFe6hb64SlksyEw6lpVmrmzeX5s2T3nvPTPTlFBNjLU+Y4L4rT0/p2WdrpcYAAAAAAAAAAAAAgAbCq6ZPfPHFF9W7d289/fTT+te//qV+/fopMjJSNpvNrZzNZtO///3vE64oAAAAAABAY1XVQLdDLllRkZG1W4eFOxdq4a6FkqR7Bt+jQa0GlWyLjjYT1ju9/bbk42OW/f2luXOl77+v3foAVXbc/cgypWy2lsMGlrMfD8XFSXa7eejrK11yiXsRX1/pwQelZ56x1nXoUPnhHQ6HYtNiSx7HpsUqKjSq8icCdSlhqbUc2le64BcTgpi8Vlo+xq2oM+QtMihSnh6eSs9LJ/gNAAAAAAAAAHB62/nPSov89pu17O0t/e9/1qRaI0dKZ55p2mFjrWYknX9+6f107uz++GD6QW04vEGS1Duitzo27Vjd2gMAAAAAAAAAAAAA6lGNg99mz55dsnz48GEdPny4zHIEvwEAAAAAABTLjpd2vyblHJFC+0gdJ0q+zZSaahWpKNAtI6Nq5Wri293f6sNNH0qS+rfo7xb8tn+/Va53b6lXL/fnRkVJN95Yu/UBalW2S7piQLtyi8XEWMtDhkh+fqXLBAVJBw5Yj1u2rPzwiVmJyi3MLXkcmxorkfuGulKVMESHQ8rYYz0+6xMT+iZJ4YOlc+ZL6dtKNjtD3iICI+Rh89DeY3uVkJVQm7UGAAAAAAAAAODUUZAuHfnRfZ13qFSQ6rZq715r+corrdA3yYS5/fOf0tGjUk6OWdeiRdXagedvn6+HfnhIkjT53MmaecHM6r8GAAAAAAAAAAAAAEC9qXHwW3R0dG3WAwAAAAAA4JTlcEhz50o//WTydsaOlcaPlzw8XAolrZZ+u0LKcQnP3/6CdM485eePLFnVvHn5x8nPt5abNat6/VJSpHnzpCNHTHDbpZdKPj7uZfanWulu+1P2u29zeThsWNnHaNKk6vUBTjrX4Df/FuUWcw1+69at/N3FxVnLrVpVfviY1JgKHwMnnb1Ayin+uwjtJ4X2dt/eYqQU0rPkoTPkLSIgQp42T0lWGBwAAAAAAAAAAKedI0vMvXanwe9Kne+S0ndKKyeYBmRJ+/ZZRa68svRubrlFWrfOetymTdUO79qe69rOCwAAAAAAAAAAAAA4NdQ4+C0qKqo26wEAAAAAAHBKSkmR7rpL+uILa91//iONGiXNny8FB0vK2CstGS7Z89yfnJ8sbXhA+Z5bS1b5+5d/LNfgt+OD28rzyy/SjTe6B1V16yYtWCD1tDJ9FJ1ihfxHp7oH/rsGv1UUhgU0WLkugYt+5Qe/uc510bp1+bvLzLSWW7as/PCxabEVPgZOuuyDksNuliPKSfR0CUl0hrxFBEbI0+MEgt+KB7pJMkmpZa0vR0GB5Ol5XKgqAAAAAAAAAAD1IW2Ltdz5/0zomyQFd5dG/CytNY9dg9/OPbf0bjw8pFiXZqOqTDgkHRf8lkLwGwAAAAAAAAAAAACcahgiBQAAAAAAUEOFhdLo0e6hb04//SQtXlz8YPOU0qFvLlwD3by9yz9eVcs5LVwoDR/uHvomSbt2SQ88YD0uKCrQgbQDJY+PHxzgGvxW1VnmgQalMMdariD47YD1Z1Bh8Jvr32LTppUfPjaV4Dc0MFkx1nJw5YmersFvEYERbuvq2urV0oABkp+fFBQkXXut+3kJAAAAAAAAAICTLsMl0a3z/7lv8w2TBr6h7GzpcPHcRH5+UmRk2bs6dsxarqh9yhXBbwDkcFRpciUAAAAAAAAAAAA0TCcc/Pbpp59q9OjRioiIkK+vr5o3b67Ro0fr008/rY36AQAAAABQZ/LypPXrpRUrpOTk8ssdPCjNny/NnSvFxJy06uEU8P770rp1lRTKS5YOLrAee/pLzc+X/Kye/YWFLps9y99VUZG17FHJXZ2sLOnuu8vv52u3W8tx6XEqclg735+yXw6XJ7oGx7VtW/FxgZPO2aH9+De763q7a2pikPk396i09RnrZ/9sZWdbxaoa/ObjU3kVY1JjJElRIVFuj4F64xr85l95oqcz5C0yKLIk+C0hK6EuauZmxgzpnHOkTZvMeSsnR5o3Txo40D2oEQAAAAAAAACAkyqzOPjNt5kU2rf0dv8WbpOYtGsn2Wxl7yrPZf6w5s0rP7TdYVd0anTJ46TsJKXnpVeh0gAauu3bpQkTpKFDpUsvlT7+2L2fiCQpN1H67WrpiyDpiwBp6QXSkZ/rpb4AAAAAAAAAAACoOa+aPtFut+vaa6/VggUL5HA45O/vr1atWikxMVE///yzlixZoi+//FJffPGFPCobiQwAAAAAwEn2ww/SvfdK+4r7Y3t6SjffLM2aJYWEmHX5+dLLL0tPPy3l5lrPvekm6c03peBga92d39ypg+kHJUlfX/e1fDyrkASEU5rDIb32mvu6ceOk9u2lb76RYmOLV8Z/J9kLzLJvhDT8eylsoFSUJ219Wjq0UN7e1j5cQ+CO5xowVVE5SfrsM2sGeUlq2lQaNkzaudP8uIpOMQMDgn2DlZ6XruyCbB3NPloS7pOTY5Vt1ari4wINkmvwm634Dy4vUdrylLW+2TnKy5tY8tB5LiiLa/Cb699veWLTzAfC2W3PVmxarA6kHZDdYZeHjfumqAOuIYiuo8hc12+baS0HVD34LSIwouR961xXVxYulKZPL3tbaqqUlGQGygEAAAAAAAAAcNI5g9+adCk30e3oUWu5osm1XIPf/PwqP/SRzCPKLTQdGLw9vFVgL1B0SrT6tehX+ZMBNEgOh5kQ6bnnpIICa/2330offigtWVK8Imm19MtfpDyXD5iEpeZn6Bypw00ntd4AAAAAAAAAAACouRqPLHzjjTf05Zdf6vzzz9eqVauUlZWl6OhoZWVlafXq1Ro2bJi+/vprvfHGG7VZXwAAAAAATtjTT0sXXWSFvklmhtwPP7QCRoqKTIjX5MnuoW+S9N//SnPmWI8Ligo0e9NsLdq7SIv2LtLu5N11/hpQ/7ZskXbtsh6/+KL0v/9Jb7xh1l97bfGG1C1Wof4vmNA3SfL0lfrNlHpOcgt0c+3EezzXgKmKyklm5menLl2kdeukr74yM0S/8YbkmtO/P8VMN987oreCfYPd1knugw2Cgio+LlAiK05KWiNlHajvmkgOl6REj/LnwnB9r/tUkN/p+vfjmqVVHmfw2zltz5Ek5Rfl13loFlChIpcvN34tKiyaXZCtjPwMSSb4zRkKeiTziBxV+QOoAbtdeuIJ93UhIVJ4eJ0cDgAAAAAAAACAqivMknKL23kCosot5trPICKi/N1Vd8IhZztumH+YOod1dlsH4NT0+usm+K2sfiBLlxYvFOVKq250D31zlRVdZ/UDAAAAAABoEA7/IC0ZIX3bVVoyUtr1mlSYXd+1AgAAqLEaB7/Nnj1b3bp1008//aQzzzzTbduQIUP0448/qlu3bvrwww9PuJIAAAAAANSWVauscLeyFBWZf999V/rpp6rtc++xvSqwW70vtyZurXkFccrYuNFaHjBAeuwxazJ3X18TDjhggKT0HWalh6/U7prSO2p/g1vAVHYF7U6u5bKyyi9nt0sbNliP33lH6tjRLNts0n33uf8dRKeaDsBRIVFqH9rerEuxOgVXNQwLkCRlx0srJ0j/ayf9NFT6X5T0fV/p0Df1VyebS9ibvbDcYoWu+XAV3Dl1/TtwHYxTFofDoZjUGElS38i+CvAOkCTFpsZW/ESgLhW5fLB7+Zt/M/ZJX4ZbP0svlCQlZCaUFHUNfssuyFZmfmadVO+XX6SdO63Hd90lJSRIR49K338vRUbWyWEBAAAAAAAAAKc7m63yn7xkq3xg+cFvrm2sfn4VH9KpKvOtOEPe2oe2V1RolNs6AKeeY8ekKVPc14WHS4GBxxWMnStlusxwGdhBihgheTF7HwAAAAAAaOTshdLKG6XlF0mJy6WMPVLiMmnD36QfBtd37QAAAGqsxsFvu3bt0qWXXiovL68yt3t5eWncuHHavXt3jSsHAAAAAEBte/ppq7O0zSY98ID0+efS449LQcV9IQsKpBdesJ4TEmKC4JYulZ56SgoIcN/n8UFv2xK31eErQEPhGvx2ww3uHfIlEwzVpYuktO1mRUhPyev4nrlWWafExPKP6etrLScklF8uOlrKyDDL7dpJI0eWLnPuudaycyBAVEiUokIYHIATkBkjLeojxX7mvj5ti/TLX+qlSpIkD5c/MkcZ06QXc/1bLCw/H86tXG5uxYdOyU0pCcdqG9JWbYPbSpJi0wh+Qz2yuyQW2rydK6X8Y9ZPQbok6UjmEUmSh81D4f7hJcFvrttq28qV1vK555oAU19fc669+GJp2TIpOLhODg0AAAAAAAAAQMXsrrNmhVnLB+ZLu98o+cnPyijZVE53e0nubcCVTTgkubfttg9p77bueD/t+0nTlk3TtGXTtOPojsp3DuCkmz1byiyea8nLS3rzTTMZUkqK9MEHLgFwMR9bT+p0hzR2h3TBUumyOKn9jSe72gAAAAAAACfPjhel2E/K3pa5t/S67IPmPu3WZ6T9H0k5ddPfGQAA4ERV0IxcMR8fH2VlZVVYJisrSz6uoyABAAAAAKhHmZnSjz9aj+fMkW4s7vt4zTXSrbdKCxdKmzdLBw+a9T4+0m+/Sb17m8cjRkhXXSVtc8l2Oz74betR98cl7EWmseHg11JBhhTUXmo1zvx4eNbKa8TJs2mTtXzGGeUUKsyWsmLMcpMu5e6rWTNr+UgFbUoRVtZOhcFvrqF0gwaVDqU7XnRqtCQzK7wzoMq5TnIfbFBQUPGM9DjNrbvbBEY1NK7BbwUZknfZiVGu7/W8vDKLlCqXkCC1aVN+2dhUE/Bmk02tm7RW25C22pW8SzGpMVWoOFCGwmxp95tS/LdSYaYU2EFqc5kUdb3k4V358yXJ5jonjL3Cos5wt2YBzeTp4akw/zB52Dxkd9iVkJWgLuHln99qat06a/mee0qfx3r0qPVDAgAAAAAAAABQNUUuswJ5ujQa7XpVSvq95KG34zJJTSRVPOGQa7tTdnblh3eGvLUPbV8yWcv+1LKD395a+5YW7looSfLz8lOP5txgBxqaX36xlh99VLr3XrPs7S3dfrvUubPMDJfH1psNAW2lgW9JnsVt4D6h0tA5UvrOk1ltAAAAAACAkyM/TdrxkvW4SRcp6gYpL1GK/VwqtCbgkL1A2jxV2v2a+31cm5fUa7LUZ8bJqzcAAEAVeFRepGwDBgzQvHnzFB8fX+b2w4cPa968eTqj3JHPAAAAAACcXOvWSfbibJP+/aUbbnDf3q2b6US5erW17rrrrNA3pz59pGuvtR47g97ObH2meZxYRvBb+i5pUW9p9S3Swa+khJ+lfR9Iv46XVk04sReGerF9u7VcbgBNfookh1kO7Fjuvlq3tpYTEkyf3bK4hktVFBC31eUtWJVwnJJZ4UOjFBUa5bZOch9s4JxpGjXgcEgZe6TkP6SsA+X/R9e2gkwpdYuUulUqzKm746Rtkw4vNsue/tKgt6Rr8qTx8VLfZyXPekwM9PK3lnOLUxN9wqRuf5OCrT8S1/f60aPl7841rPHw4YoP7Qx4a9mkpbw9vdU2uK0kKxAOqJakNdI3HaU/H5eO/iqlbJQOLjDfL1beUPnznTxc3uz2ggqLOoPfnIPHPGweah7Q3G1bbVu/3lo+++zKyydmJarfu/3U791+uuLzK+qkTgAAAAAAAAAASJIcrhOqlD8Dl5+f1RZY0YRDrpNuVdbuJLkHv7UPbe+27nhr49eWLK87vK7MMgDqj8MhrVljPb7nntJlhg2TlBUrFaSaFW2vskLfnGw2KYRgRwAAAAAA0Agd+UkqSDfLkRdIF22S+kwzYxXG7ZZaX2qV3fA3aceL7qFvkuQolOIWnKwaAwAAVJlXTZ/4yCOP6C9/+YsGDRqkRx55RMOGDVNkZKQSEhK0fPlyvfLKKzp27Jgefvjh2qwvAAAAAAA1tmqVtXzxxabf4/E8PNyD3y68sOx9uT7XGfR2effLtebQGu07tk/ZBdkK8A4wBYpypRXjpMy9Ze8sp+xQdTRsGcUTA/n5SZGR5RRybTDyCbWWV0+Ukq3eu4HnLlDTpj2UkiLl5Jh9BweX3t3xAXHlSUuzljt1Kr+cJGXkZSgpO0mSFBUSpYw888JcBwf4u2RmxcdLLVtWvE8cx+GQYudKO16QUjdb6wPbS90fkbreVzfHzUmQdv5D2vueVFic2OfhLbUaK/V7QQruZpW1F0kJS6TMfSYQKrS3FDZIslVj3oiE5dZyv+elLsW90v1bSr2elFqMPuGXVGP+raxlZ/Cbf0vpjFnm7zF9hySpaVOr2KFD5e+uXTtrubIBOLFpJuDNGfjWLqSd23qgyvLTpF8vs97DkpmBzlFolp2DParCdTBIfqrkG15uUWe4W0Zehp779TlJUpGjyG1bbUpPlw4cMMtBQe5/b+VZGbdSmxPM5+vWxK3KyMtQE98mtV43AA3Tu+veVV5hnvy8/HTXoLvquzoAAAAAAAA4lblO3OTaKcB1ffpOa7mCyVV8faznVDThkGvba0XtU04lk3qFRJVM2hKTGqMie5E8PTxLysVnxCs+w+qLsPbQWgFoWOLirEn/WrWS2rYtp2DKRms5tF+d16vG8pKkPW+bgdT5KZJfpBRxvtTpTim4a33XDgAAAAAAnIpcxt1owD8lrwDrsW+YdPbnZjllk7kv4dT6L1KLUVLWASn2k3J3n5srHTtm+iyXNYYHAACgLtU4+G3cuHGaNWuWHnvsMf3973932+ZwOOTl5aV//vOfGjdu3AlXEgAAAACAKnE4pMQV0v5/Sxl7TBhKcHdzw77VWK1fb3Vy7ldBP8iNLv0lKyonSbmFudp7zAS6XdzlYk1bPk15RXnacXSHBrYaaArt/48V+hbcXTrjdan52VJWjLT3fSn1zxq8WNQnu9008EgmFK2sEEFTMN9a9vC2lrMOHDcgIE9t2kgpKebhnj3SwIGld9e0qTleTo4ZHHDsmBQWVrpcdra1HBRU8WuJTo0uWY4KjVJGvgl+i0uPU0FRgbw9vdWmjfRn8ds0Lq7suqECW56Stj1ben1WjLT9+boJfstNlH4+xwS5ubIXSAe/lpqfZwW/RX8sbZ0mZe53LxsYJZ3/rQmBq4rk4tRMm4fU8bbS28MHV+sl1Cp/l9TE3PJTEzt0sJYPHix/d64d7uMrye6MTS0OfgsxT3IGwMWkxlT8ROB4e9623r/hQ6RB70pN+0vZcSbgsTrfJ7xceibkxEtNOpmBF2d9Iu37QEpcVrI5IcscMzYtVk8ufdJtN3UR/OYaXtqhQwXnWBe/H/i9ZNnusGv1wdUa1WlUrdcNQMNzIO2A7v7u7pLHY7uOVZvgNvVYIwAAAAAAADR6Hr7WcmF6ucWahReWLDsnPClLVJS1XFm7U3ZBtg5nmlmJ2oe2Lwl+yy/KV3xGfEl7lCSti18nSYoMjFRCVoLi0uOUkJmgyKDyZjUDcLLtdOk20rdvBQWzXT5EQnrUWX1OyOEfpV8vl4pcOqxkH5COrZViP5PGVyHZEgAAAADQ6GQXZCu7wFwrBvsGy8d14mKgKpzBb77Nyg7Ed06GEfu5ta7/P6Uej1iP+0w3fa2LORzSokXSv/4lffutVGTmw1bXrtLEidLjj0seHrX6KgAAAMp0Ql85HnzwQe3atUvTp0/X+PHjNXLkSI0fP15PP/20du7cqYceeqi26gkAAAAAQMUK0qVlF0pLR0gxH5ub+0m/mxC4Xy+TDswtCdWSpC5dyt+Va+BIp04VH3Zn0k7ZHXZ52jzVLbybuoabGWq3Jm61CsUvMv96+EjDFkktR0legVJIL2ngq9LQOdV7rTh1eLg0TFYw27sktXHJp1i3rvT2ggLToFRZuaws9wnnK+OcEb55QHMFeAcoKsSMLLA77DqQZjoPd+xola8oDKumkpKkbdukvXvN62xUjm2Uts00y55+UreHTJjamf+RWo2TVIVEo5rY9LgV+hbcQxr8nnTuAqnXVMm/lVUu+r/S6pus0DcPX8mzeBasrFgTTldVzkbVJt0k7yYn/BJqVYDLH052+SNr2re3lit6r7drZy1v21bxoWPSYsxzgs2TnANuYtNi5ajOHytw5Afzr1eQ+RwJG2BS0QLbSf1mms+Vqgp0GUWWUzzIwjtYaj9BatLZ/bAVhLslZJYfpFhTruGlAQHll3O18uBKSZK/l78k6fe43ysqDqARWRa9zO3x8pjl9VMRAAAAAAAAnD68XSZXyXZpUOrxmNTDmky9Y3ur4TMurvw2XNfgtwMHKm7rdZ1YKCo0SpFBkSWDZZ3tvk7O4Lfzo85X+9D2busANAyZmdZy69bll1OhSwOabzPzb36K9H1f62fFpXVSxyrJOSz9fo0V+hbaV+r6gBR1veQTLol2cQAAAABo8Gy2yn9q4Pb/3a7m/2iu5v9orvfWvVf5E3D6qOp7LnWL+Te0X8Xvw6MrzL9+kVK3B923eQVI3U3uicMhPfCANHastHChFfomSbt3S5MnS3l5tfQaAQAAKuF1ojvo0KGDpk6dWht1AQAAAACg5tbdJyUsNcsB7aQON5twtZSN0sGFksNR5SCRrCxr2d+/4sM6A946Nu0oXy9fdW/WXVsSt2jb0eIkIHuhlFjcgBAxQgpqX3ongW1Lr0OD5uEh+flJubkmoMbhKKcNydPPWs5PKaOAxTXQ7aefpLvuct/+2WfSVVeZcnv2WOVGj3Yv969/ub+/Xd/PZYlOiZZkBgZIUkRghPy8/JRbmKvo1Gh1CuvkFvy2a1fF+6uq/HzpnXfM61qzxlrv5yddfLH0739LTZvWzrHq1YG5KunEfM48qbVLZ+uOt0rJdTC4oihPOjDPLIf0kkb/YRorJant5VLPx6XMaKkoX9rwN7Pe018a+KbU/kbJw1tK2yrtnKVqBdPlFIdDhfS01qXtOG728T5SQCuddP4uveSPbSi3WIcO1vKmTeXvzjX4beXKsj8DjhyRWrSQYlNjJUlJOUn6asdXik0zj7MLspWUnaTmgc2r+ipwOivMkZJWmeWWYyS/Mt43fhFV319ge2s5u+JEz4qC345klb+tprxcWi1cO1OUJ7cwt2Sg2o19b9T7G97XyriVtV6vhuTwYfMdICFB8vU1Mwyee64UFFTfNQNOvuWxyyVJvp6+yivK07LoZbqx741Wgap0OCSIFQAAAAAA4LSRmyv9+KP09demzbWwUGrbVho2TLr+eiksrAo78QmTvJpIhRlSlks7WJvLzL36HS9JkoKC7IqMNPdys7Olo0eliDJu5TdpYo577JiUnm7aY7t3dy/jbItyhruF+IYo1C9UktQupJ32Htur/Sn7Naz9sJLnrI1fK0ka0GKACu2FikmN0br4dRrbdWxVf10A6pjrIGJv7woK2vOtZVtxY5qjSErb4lImt1brVi3Rc6SC4lk2ez8l9Z5u3Z8vzDaTdtalrANS3JfW5HiBUVLz86TwM2scTAAAAAAAOHFF9iL9uO/HkseL9y3W/WfeX481winH4ZAK081ygMu4q/0fSgkuk8Z2ukNKNvdD1ewcyaP8CJVPP5XefNMs+/pKDz4oXXGFVFAgrVghvf56Lb8GAACACpxw8BsAAAAAAPUuL0mK/cQsNztbGrnEPXAr57CUnyIfH2tVQYHK5efnXs7Xt/yyzuC3Hs17mH+b9XBbr8y9psO3JDUbWqWXg4YlLk6KjTWd/lu0kLp0kTw9pZAQMzAgL0+Kjy9n9mWfMJngLIeU6TLD+uC3paQ10pqJJatcg98WLZIOHbL2mZMjPfusCX5zPc6nn0pTp0rBxZPKx8RI774rXXutVSYmpuLX5xwcEJcWp6u/uLrMba7Bb7/8UvZ+MjOrHjiTnS1ddJH066/msc0m9etnAvV27JC++kp64YVGEvwW/735N6ize+ibU/ig2j9m4i/WTNpd7rVC35y8AqXQ3tKRJVL+MbOuz9NSp9usMqF9pKH/kexVSF1ych7Ty+WNsPcdafcb1uOh/5U63KiTzqepCbcryjFhnEX5kqdPqWLt21vLO3aYv+1Wx+XUbdvmHvx26JC0fr00yOW/MjZW+vJL6eGHVRL0NufPOZrz5xy3fcWmxRL8hqpJ32EN6Ag/88T3FxhlLadsrLBohcFvZWy7+JOLtWT/EknSnMvn6Lre11WvaoHW8rFjlZdfH79e+UX5auLTRDf3u1nvb3hfqw+uVpG9SJ4entU6dkO3fr2ZZXBlGbl2AQHS9u1SVFTpbUBjtizadN66tf+tenf9u1oWs6ySZwAAAAAAAOB0tWaNaW89eNx8KKtXS198Ydo7H3+8Cjuy2aSgTlLqJikrpsKinTqZ4DfJ3NsdP959u3NOgvbtrXviP/5YOvht0SLpkkus9lubzaaHf3hYkpSVb2YCc24z+3WUTJoyoOUAFdgL9NXOr0rC4FCLMqOlY2tNuJV3iBTSQ2rSzS1sqqBA+v130z6enGz6pHTpIo0c6T4xFRqxgnQzaZo9V/JuKjXpInn5u01GmVtRbpunS8Giegx4K0/8t+Zf3wip11T3sDWvAKlrHQ3qL8iQ1twmxc0ve/sZr0ndHqibY6NRio6W5s6Vvv3WBLHm5Zm+YkOGSPfdJ511Vn3XEAAAAGgg8pKkg19Lh76Vcg5JNk/TL7XZOVL7GyTfcElmYoJjOcfk4+mj/KJ8LYteptzCXPl5+VW8f5weXCdsdb2X4LreXig57GbZw6Xvf9JqKea/1uPwoZKj0CyH9rXWJ/5i3q9OkSP13nuhJQ8/+sh97M2550p33y23sWcAAAB1qcbBb6+88oqee+45bd68Wa2OH/0oKT4+Xv369dPUqVP1wAM0lgAAAAAA6tDB/1k383s+4R76Jkn+LSX/lmrSxFp16JDUp0/Zu2vSRDp82CzHxUmdO5d/6JLgt+LAt+7NurutV36aSz1cEruWjpLStlqPR/8hBbrMQIN6lZUlvfii6eC/c6f7tpAQ6e23pV69rE76O3eWE/zm5S8FdTChb86ZhSUpuLtUkOlWtGtXazk7W7rtNmnxYqmoSLr3XjPjvOTeyT8+XnroIenf/5ZSUqQJE0zde/a0yuzYUfFrjU6NliQlZCVo/nb3zrDRKWaba/Db5s3m9brW48AB6fvvpf/7v4qP5fTyy1bo27nnSh9/bAXV5OSYQDvX4J9TVmGO9Xcecb7L+izTCOnkFVjhrFLVduwPa9l5XIfdDDZwsnlYoXSS1PbKsvdVndAkDx8TrGavIFmzvthsUkAbKWOPVJAqHZhXZgBd8+YmPCm7+Fc1Z470xBPW9n37pLfekl55xezS2a48aZL0ww8mvNBul+66Sxo+XMrIy9CxnPKTq2JTYzWoVR2E/6HxKUi3lv1aWsuLB5r3tdOl+yS/KoQJ+jaTPANMYGPCEvOZVMbnkMPhqFbwW2JWon7c96Psxd/LPtv6WbWD38LCTIeJ/HzTsT4nR26DXo63Ms6koA1qNUgDWw6Ul4eXMvIztCVxi/q36F+tYzdkGzZI559vPp9sNunyy6WLLzafO1u2SJ9/XsmAoDI4HCbMctky6c8/zb6DgqRu3aTRo8v/rgw0FNEp0YpNi5VNNj12zmN6d/27ik6NVmxqrKJCi79cVqVz2Clka+JW5RTkSJIGthooD5tHPdcIAAAAAADg1JCUJI0ZI6UVN9/ff79pj42MNBP6LFhQ9UmuJElNioPfMvdKuYmSX0SZxTp1sibzWLCgdPDbZ59JV19tgt82bDDrPvjAtLs6BxcmJkozZrgHv6XmpmrW6llu+9qfagW/xabFKinbDGgc0GKACopM+93a+LVyOByyud4rQ80c+k768wn3fh9O4WdKo1fL4ZDefNNM5paWVrqYZP5/mzNPVOOVuELa+qx0dIV7O7qHt9ThVoWEvFeyKjq6gv14B1vL2Qek4K6Sh6/U4VYTPFjW+/BkKcqXkoo/6CJH1G7fh8qsuVWK+9Ist7lCaj/BBOtl7pHiFjTMvgtosD75RLr9dhP2JpnAt06dzOf0p5+aySsJfgMAAECjVlY/q7L6WB1ZIv12lemPLZmxO15NpOQ1pn+2b7gJf5O0eO9iSdKlXS/VqoOrFJ8Rr19if9HoTqPr8IWgUfHwMvdR7AVmnEJ57HnWspfLQJQt06TE5SUPD/bZpl9/DZVkrvuuvrr0rsLCTqzKAAAA1VHjVpUvvvhCffv2LTP0TZJatWql/v37a+7cuQS/AQAAAABqriodjv+421qOGG7+zU+Tkl3Cj3zD1aPHGfruO/Pwzz+liy4qe3c9e0q7d1vlKgp+23Z0myQzAH/G8hmKS4+TJMWlxyktN00hrgPx7S5pHHlJUq5LWIqjqIIXeGJe+O0FzflzjiTpln636PFzqzJN+ekrJ8cEqzg71p91lpn5vUULEwj400+mw23//tLSpabMunXSBReUs8PgHib4LW2bCfzyKjvR7Jxz3B//+KM0eLCUnm6FvkkmKM3Vf/5j6hoba8LfWreWBgywtm/YYNpcy/tTcp35vdS24sEBHTq4h1zdd5+ZVd7b23R4nDBBuuKKcnfjprBQ+te/rMeffCK1a2c99vc3HSkbBbegphbW8qqbpINfWY9HLjUdoOvkuJHm36wD0jcu08WH9jeziEumsT2oeFvqVmnnK1a58MFSF+sz1uEw77X4eBNKGBZmOrr6+cnMYF+UI2XHWc8P6S21usQ9ZK6+BPe0ArLW32tem18L87dZzGYzgUcbN5rHM2ZIF14oDRpkBgRddZX5+/Lzk/r1kzZtMuV+/ll6+GETxPTGGyYEbvhwM6imIjGpMbX+MtFIlfd9ojBLKsxwKVjFICObTQpsL6Vvl3ITpNhPpQ43lyqWnpeuvKK80s8vlpCZ4DZA7IttX8jusKtn857afnS7Fu1ZpJScFDX1b1q1eskMZOvb15xbHQ5p+3Zp4MDyy/8e97sk6czWZ8rf21/9Ivtp/eH1Whm3ssEEvxUVmdDUhASz3KyZCXytTsjp009boZT/+pd0xx3u259/vno5VjEx0g03WAMOfXykNm3Mef399833X9fvH0BDtCxmmSSpd0RvdWzaUb2a99K2o9u0LGaZJvafWL2d1eZA1zoKlTuccVgD3hugwuIA4R9u/IFOkAAAAAAAAE55SSZgKWm1lH9MsnmZCeKaDpBajNIHHwSUBG899JCZ5MepZUtp6NBq3tYJdJk568AXUtd7yyzm2tdg3jzTntS/v3kcG2vqcvXVpo/CggVm/ZYt0iOPmDYnZ/tUYqLZVmHbrsu2dfHrzGsLaqnIoEgNaGkakBOzEnUw/aDahjAp3Qk5/IP0y6WSHFKTrlK3h6QmnaXCTNNPpTgE6623JOcwig4dpGefNX0AfHykrVtN8B8ZfI1Y/PfmfeKwSwFtpU53mPa5gjTp6EopY7f69LOKb95cQd+OEJfZ/9K2Sy0ulLybSEP/I238+8kLfivMNu2Tnn6SV5CpbEGaNVlnoEufhLV3S4cXW4/P+kRqfnbt1SUz2gp963SHNOR9l40jpc53SRW0c+I0kxktHV4kHf3dBLbaPEx/mtB+UtT1OpDUShMnmj5NoaHSf/8rjRtnPX3PHmnv3vqqPAAAAFA7jmYd1Zt/vClJigiM0L1Dyr6fVaGCTCv0LaCdNPQjM0m5zUPKT5EOfSMFRpUUX7R3kSTpwo4XKsA7QP/d/F8t3rvYrc9TUZH09ddm7MTKlWa8ht1uJmzo10/6+9+lM844kVeO+pKVZf5PV60yfVbz802odrduZixXReO03PiEm7FXmS4XZm2vMvdbtkw1jz18rG355U/avn2Xb8nyueeayZdRj+yFUuxcc82evFrKTzX/lwFtpLBBUp+nqzYhOgAAp7AaB7/t3r1bN9xwQ4VlevXqpU8++aSmhwAAAAAAoOyZg45fv3pi8XYPK1Qrfae03GUQfIsxGjrU6lDoDLkoy9ChpvFIkn7/XbryyrLLZeRllIT2fLfnO3235zu37duObtPZoZHWihyXoLeWo82MvEd/Kb8itSArP0sv/f6SUnJTJEkvrXxJ9595vwK8A+r0uFVSmGNef/JaKTvWzMLjHWw6ukYMk8IqSHmpQ++/b4W+3Xqr9O9/u7/1HnnENDrNm2et++9/pccec2/4yc6W9u+Xegf3kOK/M7MIHZgvdbylzOO2bStFRZkO/k7r15cuN3iwCVwrcJmY2Bk+5dS5sxQQYOqwd6+0enXpWWc3bZL69XMoOrX8aaOdgwMCA81x/yjOUlyyxAwwGD5c+ugjE5BY1eC3ffukgwfN8hlnuIe+NTqeVsNgRQ2Itc7D9bipkm+zsss5AycdRVYP8px4KfpDq0xRltTlbm3dagYiLF0qHT3qvhsvLzM45v7e/aQjR6TUP639db7ThEnN86/Vl1gjzc+VDi00ywXp0nfdrRnAXFxwgRX8lpsrjRljwiB/+80MrnEGK44Y4f6399pr5sdVbGrFwW+VBcPhNFGVET0pW6zlnMPWcpvxZgBR4rLqH7fpABP8Jklr75J8wkxHnOQ1JUWOZFrfXX6Z+IvaBLeRZAJv/zL3LyqwFyglN0Vh/mZ6u7nb5kqS7hl0j2b/OVvr4tfpq51f6bYBt1WraoMGmeA3Sfrf/0oHvzkcJqDM19ehlXHmS92Q1kNK/l1/eL1+j/td9wy+p1rHrZKqjsByOLR6tfTMM9Ivv0iZmWa18xzu4WG+c9xWhV9NYqL5PUgmiHbixNJl/PyqVi3JdJQaN07ats28nJdeMqGuzn0cPWqF2wInXVX+xoqvBZ3Bb+e1O0+SdG67c2se/FaV6856HoH5/ob3VWgvVBOfJsrIz9Cbf7xZcfCbvbA4eDrAfOcBgOoqzDH3a3ITzaBenxAzeNcvst4/E6utKNdcB3oGmHuHp1r9AQAAAFRs2/PS1hmmPdYv0kxM5OkrJf0ubX1aGrlE8+ZZkzCVd1+2WpcKwV2t5a3TTQhTcLdS7U6uk3/l5Uljx0offGAm9Jo82Qp0GzXKtMU5vfmm9N13puktJ0dq396sr2rw29pDayVJzQKa6asdX8khh/y8/JRbmKu18WsJfjtRW5+R5JD8W0mj10g+oda2NuMlh0O5udLMmWaVl5dpK2jTxioWFWXeD9WWd8y8t49tkPKOSrJJvuEmgK7FhZJfhAnhOrxYSlgmpWwoHjDpJflGmACxrvebwZOoOw6H9OeT5v8iMEq66E9zb8Wp6/1SUZ6aeZqJ1vbtM58LW7dKffqUsb9Ql4S4pFVStwfq/CWUSPlT2vWqdPRXKXOftd47RGraXzr7M2tdYaa1nJsoZcVYj4tcJreqDXELrOVOfzX/OuzmvriTzUOSr3Ca2/a8CQJwFElBHaXwM01wYXactO1Zya+5Xn/rZhWaeXc0ebJ76JskdelifmqsMMcEY3j6m78d7k8CAACgHry+5nU9+6t1A+r8qPPVJ7Ksi9AKxH5qvttK0pB/SZHDrW0+Td0mIE7KTiq5R3Vhxwvl7+VfEvz2yhgzK0NamnTxxSYYTDL30q64woSDJSSY+ymrV58awW8bNpjwuvXrpQMHTD/R4GCpY0czHqlG94FOYR9+aMbdpKSYe2ODB5v+r4cPS59+asalzJlTxZ2FDTTjcVI3m2t/m4fUcpQUPsQKfvMONusddvd+1j2fMGOTts6QJOXmWQN+Aqo4pKqgqEDJOcmSJH8vf4X4hVTyjMYtNdX0Md6wwYxVysuT/P3NuKDzzqvGe70wR1p2gbnXZfOS2l4phfY1fR0z90lHfjLB/gS/AQBqk8MhZR+U8hJNcLGnv2nvC2gneXjWS5VqHPyWnZ2twMDACsv4+fkpMzOzwjIAAABAo5F71AQn5B0rHljrL/m1lIK7S75h9V07oHHzDjX/Ouym46B/CzO4vekZ5oZvgZm6e+hQ6ynffSft2mVmi3EqKDCBVq7lPvrIdOhq5pKbdOyYCboK6LK9wmptTdyqs9sMNaFLeUmmE6RT/xelwz+5h9MV7/vnn02DT3KyuSnu5WUaOXr1kv76V6vsoj2LNGezae3oG9FXk86bVKoOH/35kVJyU3R+1PlyOBz69cCvmvPnHP3foP+rsO41VtWghsM/SqtuMjdJAjtILcdIAS2lwgzTAfnor9J5X9VNHSvh2oD08MNlvyQfH/cGxG3bpClTTGd8Dw8pI0O69loTzNJ7cF+r4KbHpNA+UtgZJlDrOBddJL33XsX1CwiQhg0z75PyeHqameKdAYd33y0tXmzeR5I0d65pTJs9/4hyC8vvXBudYoXCXXKJFfwmmQAaZwhNWTYe3qicwhxJJoTHy8Pchsp1OVyTJuU/v1HwDjZBSvnH3DtA93naNEyturFujhvU0VrO3G9ml/eLlEYskXa/Jh0q/o/zKw6mLMo2Nyt9w6TAdlK3v5mZsbPjJJmZxYcMMY1yrVqZ98+FF0phYeYza906855TszOlIz+YwfRJK6Xm56g2FRSYBn5PT9MQ7lnd+6nNzyu97rjBN5IJevvnP63Hx45ZYaCuRo2SZs2q+JDOcNAgnyCN7DCyZP22xG3al7KP4DcYVQkbsheaz5SCdCnRJTS2/wvSwf/VLPitxSgptnjilqJc6ZdLSxVxDX47o+UZCvQxbQKeLg0aRzKPKMw/THFpcfrtwG+SpPHdxys9L13r4tdp7ta5NQp+c3r9dTMIL6p4EkiHQ3rqKenyy6UmUXt1NNukUb625jV9uOlD7Usxn7e/H/i9Wsesbb/9Zs7XdrsJZH3tNfM4MFBKT5fWrDHLVREfb70dunc33w1PxFdfme8ukglyffRR9+3Nm5vvMUC9qMpnoiSHw6Fl0eazr0VQC206skktg1pKkpZFL5PD4ZCttgfNHFeHkvodv74O5Bfl691170qS3r/0fd301U36dve32p+yXx2bFn/3K8qXYuZIB+ZJx9ab76Ae3mYgk2+E+f456M06ryuARiB9p7Rlhrl2tOdKQZ3MvbeCNHNt2+VeaeBrle6mXtmLzGdi7Gcm2Lgg3QS+2fNNR50Wo6Rz59ds3w6H2Z893wwQ9WoAQedAbSpIN/dnU7eae9pF2ebvx7+VCdWPGFbfNQQAVFU1wtWBU9rhH6XNk81yj8elvs+4h+DnJko2T6WkWKva1EbeVeSF1nJekrRkmBR5gZS43K3YeeeZNtGMDPM4Pt60ux5v6FApKMiaRESSoo+bv8vhcFQY/JaYlajM/EwF+QRp3WEzu8qWxC26Yp77DF7r4tfpih5VnNULpTmD1ySp9WVW6NuRn81AkWIbD/xFR46Y/mIjRtTS+277iyZosCjXDHgNG2SuTTP3S3HzpfxkqeMdph/K0d9M21L7m00fBQ9fKeeQlLzaXN8HtJHDYfrN/PSTFBdn2kVzc01bbFSU9Je/SD161EK9T0eZ+6TUTWa5/Y1W6Fvir6Zt3ilypIYODdK+4u4EL7wgffKJ+67eeUe6++4Q0w8gc7906GspK9YEytW1hOXm/WQvkFqMlga+bu4VOexS5l4TLujVxPwUZrgHvXW51wzA/vOJuqlbXpK1HFD8u8iOk/7X3lof2k+6eFPdHB+nhqQ11veEbg9J/f/hPnjPXiAVZpZMSiaZviCVyS/K1/DZw3Ug7YAk6aVRL2lCnwlWAYddivnE/CT9bkIRvYLM8WweUrOzpZEVdPwCAAAAallmfqbeWvuWJGlc13H6dve3emnlS/rv5f+t3o6SXQYTOPtlZ+yTtj9nrQ/pLXV/SD/t+0kOOdQupJ06Ne0kPy8zM+2OpB2KTY1VVGiUnnnGCn2bNk2aPr30IZ0hzQ1VUZF0003SZ8W56MOHS1dfLUVGSllZJuR96dLTK/ht1Spr8o0+faTvv3e/N1ZUZMLxqix8iAl+K8wy94NbXVS6jKefFNrfTIJw5AfTb8TD04xT8gkrCX6LaGa9ofburdrhn17xdEloYpvgNtp5786S/tSnm3feMX2Os7PN/+n48VLr1macx+7dZgyG63s9Kz9LaXlmPF+wb7CCfIKsjXveNKFvkjTsexPm58rhMH0fXdjtpg92aqoVrti8uRnDhZPn6FHTD/3YMTO+x8fHfOZ1717OfXCHXZKNIHwA9aswW9rxohT9Xykr2vSt929l+oFmx5o+suMPVrqbulDj4UFRUVFa6Rw9XI5Vq1apTQ1aKTMzMzVlyhTNmzdPx44dU/fu3fXEE0/ouuuuq2l1AQAAgLpz9HcT5JO02nRsijjf3BQsyjGdmWye0vkL67uWDVpSkrlhmp5uOrF6eZkZWtq3l9oyyTCqIuJ8E2YkmVk9OtxkOq5etF767SoTYCRzQ7lrV3NDuajIhGzNmSOddZa0caO5Ad2vn/T881an6mPHpAsukGbPNiFxK1ZIDzwgPfig5B+ytcJqbUvcZjprRQw3nWyP/iqlbJaa9i2z/DPPSE8/bRqnRo40DT7Oy+q4OBO65Qx+S8tN0+3/u11HMo8oIjBCc7fO1dltz9aw9tbAO7vDrldXvypJunvQ3SXBb7NWz9KdA++Uh82j6jdOqzrwoypBDXnHpJUTTKfjVpdI5y00s0u77cdetePVgexsazmsgtzOHj2kvn1NKJZk3je//GI6QP/4o/lsmzhRUutxZnCBvcDMuP3zOVJILymtdHDgzTdXHvwmmcbBioLfJOm666zgtz//lAYONIMIdu40YTQjRrjP+n7s78cU7BssSVp1cJXO+/A8JeckKz0vXcG+wbr22rIbU8uyZP8SXfhfa7DDMyOe0ZTzp0gyM/l4eZn3+Z9/Svn55kZ/o2TzMJ2fD8yVEpZKWXFSYFsptLcZaF5XWrgESkZ/JLUcbQaitxgpHfzSpdwoae87ZjnuS6nzX01g7RmzzODe4uC3xx83oW+S+Sx07eQaHm6C0iRJ8S6pmRv+Jg37zswoX0MJCdK771ozQgUHm89xDw/z2ezhIa1dW40AwfDBZgaO7IpbiocNM5+9Byu5XztqlAnCi48vv4wz2G1gy4FaeJ31ffDF317UE0ueKAmGAyrl4SU1P1+K/1ZKWCKl7ZBCTnCkTcuLzAxpjvJ7xTiD3wK8A9w6KTQPaO5Wpmfznvp82+eSpKFthqp1cGtd0eMKTV46WUuilyghM0GRQZFVrtqYMda5IjXVBME984wJP/34YzMA6fLLpd/jrHC3FbEr3PYRmxarQ+mH1Dq4dZWPWyVVDH56dKjpYCCZDj2uYXbBwVUbMODU3GWyupgYc6gTafvevdtaHjKk5vsB6tPeY3t1KOOQJOmp5U/pqeVPlWyLS49TdGq0FYjWCHy14ysdzjysjk076upeV2vBzgWat22e3ln7jv4x+h/mg2HlddLBrySfcGnwu+Zz3ruJuQ7J2Os+4K6+ZMdLKeuLJ01Il+QheYdIAW2kZkNNB7zqsBeYwbQF6SaUxsPHzB7s30bybKwXGTjdbNsmLVpkZrBOSDD3Tz09zXel1q1NYP15ZWRcl8nhkNK2mgG5GXvMLNyF2eb61C/CDDZscYG0dKSZ/bj5+dLZn0oBLt+nCrPdZ0auBxkZ5vexdq2595KWZr43Bgeba7RrrpE6Jf+ftO8DM+h48DtSm/EmuMphN58baRXf0yslZZO05x0p4WczAUxQRzNQsyDd/B673i/1eEyS+Q64c6cUG2v+v7KyJF9fM6lEt27mnrdk7k3u2mWuKdPTzcB6f3/z3a97d/dJKICTZvdb0saHTYe2qBtMyJtvmOlAn7nPBFkQ/AY0SIWF5hyZn2+C5gMDXe4dOOxS6hYpdbM5bxVkmntNPk1NQEaLC+lk31hVMVy9ygiSQ0O114TlyzNA6vus+YzLjDb9BpyCu6l162GKiTEPd+wwfQROSFB7KaSPlLbFPM5NkGI/LVXMx8fcz3adfKwsPj6mffeDD8ovk5CVUDLx1vJblqtPZB+zPjNBPd/uKclM7NUropfWxa8rdz9r49daD/JTzYQzKRtNGFVBunWeCIwyIWLcZ3Fnz7eWXdt8d71m2nGKOYI3STIdDqo68PDTLZ/qhd9ekCRFBkVq4XULFeAdYDYe/skK0Or/T6nHI2XUrVDa/rwJfZOkkUtNQFwZ4uLMwMwNG0x76223mXbS4GBzrb1zp7RpE8FvNVaUYy17BVvLmx4zIfVOY3fqwgu7lYS9ffqp5O1tBrtnZEhvv236kNx9t6Tmw0zwW1GutGS4NPhfpv+B83OounKOSEd+NPXJS5Ly00wfB59QKaCt1P0RadOj5j5sky7SsG9N35eCdPOdsulA82Ozmb4HBxeY/eUmmntNLUaaz8rjgt+Kiszn8Natph0wPd3sIjTU9CcZMaKKfUh8XW6eZB+Q/CPNuaDdddKxdSaYDohxCbHoNcUM+s85LEW7nJgD28vf35oVKy2t8t2+uvpVrTq4SgNaDNDGIxv1yI+PaGyXsQrxKw553PiotGuWOU8Mektqe7XkHWS+L+ccNufdE+BwmPuJXl7mMwMAAACozPvr31dKborOa3ee3hn7jhbtWaTPtnymZ0c8q6jQagSLu475cE6+nZ9sJmWz55k2iZYXSd0f0qK9iyRJuYW5uvzzyyVJXh5eKrQXavHexbpr0F361OV22gMPlH3IE50ot6699ZYV+nb33eZxY292ycmR1q8vu19Ez57Sq69aZWfMKB0E5ekpdehQjQOGu45ReEAK+lYK7irpuDFHEeeb4Lecw9KBz6X2E3S8QQOy1by5Ca5avVo6ckRq0aL8Q8ekxugfK/8hPy8/ndvuXP28/2e99PtLmjFiRjVeQOOwcqV0773mmnToUDPGw/+4ITGuzUSF9kKN/ni0VsaZQU2DWg3SyttWytuz+EL24Ffm38D2Vuhb0iopxuWDIXKk8iMv17vvSgsXmjoEB5v+N4GB5hr+wAHp5ZeZ8PpkWLBAevZZM/6yVSvTFz4y0vSVOnjQfCasXCkpea25J5OwzJwjvIJM305HkSQPqf9LUuvTKA0TQMOw7l4perbptz7iZylypPWlzV4kpR83ztdeZMYBF6SbNh9PX9NH37dZrX/Zq/HX3XHjxmnWrFn6z3/+o9ucsbsuPvjgA/3222968MEHq73vK664QmvXrtULL7ygrl276tNPP9X1118vu92uCRNKf8kCcIqxF0mym4Glrh9qmTHS0V/M4PKCVEkOU0YOk5DZ8bbiizEAABqQ3KPSinHm3NX2aumcuaYDVFasVJRnlSvKpyPkcRwOc2Pt3Xelffuk0aNNB8LwcLPtzz/NDZ+KOrWi7tjtpqOdl1cl16ENZdaFlmPMAPGiXDMTS+QIM3C8DI89ZoWnxcRI55/vvr1fP3MD+N57pRdfNOs2b5bOOKP0vrYd3SZJGhY1TJ9f9XnJ+md+eUZvrX1LW48WDyJt/RcT/CZJKy6S+jxrOtcmWWElS1f46anirILRo6XFiyv+tU5eMlmHMw/r9gG3a2yXsbpi3hW669u79Of//SlfL19J0ne7v9OeY3sU7BusAS0GyCGHgn2DtTt5txbtWaSxXcdWObykVqVtMTdvJanN5VYD4LIx7mEEo1aZgYUn2fnnm06mkvTVV+a9UBabTXroIenWW611v/9uftz4NJXaXmUaNCXzPj22vsx9nnWW1Lu36eB6PE9Pq0P4FVeYwd3JyaXL+Zr/ft18swlqO3bMPI6PL/2ZGp1qpokP9QtVU/+mJetdQzKiU6LVr0U/de9uZt/57rsyq14iLTdNty40v5Qvrv5Cd317l2asmKGxXcZqQMsBatrU1H/ePNOJ9513TJCiq4wM81oDizOGtiZu1dytcyVJgd6Bevish0ve5w1e63Em+M1RJK26QRrygbm2tefW3TEDWklNB5iOorGfmZneu9xjbjIWuRy3xSgzs7s9z3x2hg+RmvYr3mh9BiQkWE9p1aqC40ZeYD57sw+ajtTf95JajKlRyEhSkvl7iI42jcA//SSdeab752JamgmBqjKbh5lN3XVWOVdNzD0Hb2/pnnukyZMr3p2Xl3THHSawszzO4Ld2Ie3c1rcNMcm2samxVat7I1JUZD4n160zA0ZyckzHfS8v8/3D11f629+kzp3ru6YNUJvLigcMOaRlF0p9npGa9rcG71SXf6Q5D8d9UfZ2D5+S4LfIQPfQNn9vfzXxaaKM/IySMs7P6Y2HN6r5P6ykMrvDrvnb5+veIeWcUMvQpo10/fXSf4v74SclFQ9oOY6zM4BNNnm6zMxeaC8s2X51r6urfNzadPSotVxRp5CqaN3aXCutWGG+v37/fenZHx0O6/t7ZXr1spZ//92EHwOnmmUxyyreHr2sUQW/vbn2TUnSkNZDtDR6qXo0M6Mt/73x35oxYoYCsvZbHaG6PyK1K/7s2/W6lHPI2lH4EMk3XAUF0v79ptNTdrb58fQ0AzwjI8u+/j0hKZulVTeaa8HIC00Ak39r8/0sL0k6vNiEKPm1kOK/MZMrZOySPAPNd1ibpxm0avOUhrxnJmHY+rSUvFoKGyyFnyn5hJgyuQlSYYZ0ljWYa/am2Xroh4fkYfOQl4eXvrzmS53b7txS1SwoKlBiVqIkyc/LT+EB4bX8iyjb9qPbdSzHXLh1b9ZdzQJIe4Lxj39If/+7Wb7jDtNxrksX8/ean2/uqfpVNS/RXmhC+OO+MAN3+zxjwrG9Q8x1YnacVJAmxX9vBbv1fNwKfVt5o+Qo7rRt85bO/ljR0eb+1ebN0qFDpmOlt7e5ni8slDp1Usm9rtry8cfS//2f6TR8ySXmHl+nTqYjaXq6+Z3kpyeY0DdJ6nS71P4Gs7z3fSl9p7Wz4J5m8HFl0rZJP51jAiY7/5804BUTru7ksEsFacrONvc3Pv/chKffcIM0eLAUEmJ+H5s2meugO++U7rvPfKez2Uy5Xr3MZ3BGhukcuXmzuS6tjoIC87mekWGus4qKzO8lPNx8n2QAKCqVvtt0knfYpZ6TpX4zzfqE5eb+kXOGjKLcaoW1pqSYe61HjpjvHLm55v0YHCx17GjuxwOovqwsadYsM6BiyxYz6VGXLuaeena2aRe47DLpttELpT/uNJ1RO9xiQt6adDN/63mJZsKSyJHmuzZOOXaHXdOXT9feYybUZHj74bpz4J11d8DaDpKrovR0ac0a03aWmGje/4WF5j5YaKhpOzj+XhlON2U0qmdGm/DmjF2mI36HWzVx4rCSdtxXXjFtlce3x2dlWe2TVdLlHmldGTevj/Poo5UHv0mmXbqiPjKuk3r1jexb0r4b6hcqH08f5Rfla3/Kfvl6+So9L12SdGnXS+VT3F8pIStBvx34Tevi18nhcMgW+6n0xx1mkG63h809G7/i9oDcBHMN5SiqvOKnkKQkE8KdkmLOmfn55tq6aVMzKLVlS1PO7rDrk82fKDM/U5J0cZeL1T60vdnoFyEFdTahUglLTZ9oD0/TDpy21bThSBrQJ0sREeaza9myygeR7kzaqTu/MRP4Xdb9Mn28+WPd//39+vdl/zYFXMMMo643/2bFmn5rTiG9rcAxryCpafGNvvjF0u8u7SXtrtVtUz7Qhg3m4f/+Jw0fXr3f5UnlcJhrEUeRuV/oUfcXuXuP7VVGXoYkqXNYZzXxLXs2sgNpB1RQZO6ZtA9tb7VXBXU2E8fmH5MSl5nAeJtNOutjM2nkGmv8zfXXS08+aU049tFH5qeUzndJ0R+a5awYafnoMgpV0cGF0u/XmCDDHo9Lnf5afM/W09yzzdhVfJzi9uzADtbvfdvz0o4XrH0Nesf0izi4wOxvza0mlC6gtdtniMMhvfxPaeZM01dk/HhzDu/Vy9zvSk42kxgOHlzxJI0l2l5hgukkEwIaPljyay6d85m07j5pD8Fvp7KcHDOZ1YED5vyck2P+hJztGGefbfWhWrRnkf6363+SpIjACE0dNlVezr5orp8XzuDOgjTT7p62w/RfazFKV155rRYvNps//NC0zZYnLi1OT694Wp42T3165aea+etMfbz5Y01fPl2zLpplJs/YNcsUjrpe6ljcsSx6jnvgW1DHKk/2tnKlmahx/Xrz/bh7d/Nd2Pm7ys83n+UAUNsKC80E2s7vzt7ept3DddKB9Lx03bDgBh1MN7OsXtH9Ck0dNrVO65WcLG3fbvrQZGWZ+tlsZsLvyEjp4otpF2mIolOiS66xOjbt6DYJaV35fs/3emedmRw5yCdIb1785knrB1DrHA5z/e7hZfpaoGIF6WaMcu4RM8GRPd+0d/mEmr7Cp9kY5fyifL2y+hVJ0v1D7lerJq10Zc8rNW/bPL2y6hW9dvFrVd9Zi9HS3uJZ7g9+LXW8xfRHuiZb+vVKc20oc2/lh30/SJISsxK1cNdCt90s2rtIdw26S6Gh0uHiLgrJyVW8HmxgVq+2lkePrmAMkMNhJupJWiml75AKM83fs3MMvU+41P1hybeePqeqMCYsPc2hO+4wY2x8fEyfjSFDpKgo02fh8GHTduU6CYJzAuUTEjnSTFKRFWsmOlzc3/QZO36MQtsrpV2vmuXVt0jH1ppJDxOXlxTx8pKuvtqE7dvtZszNJ59YEzRnZpqxjo8/bu4bPvrjo8orytPj5zyuv57xV3V/q7teWvmSbhtwW/VCExuBZcusJqFLLikd+ia5v41e/O1FrYxbqUu7Xip/b3/N2zZPT694Ws+MfMYUcE6WUJBu2i5tHsUTUh4090ILsyRPX9026fKSSRPefde871zfY85w9HqfwKgwpzgcKMu8Hk9/c97xqvvvPCfDr7+avx273dw3Wby4nH5rR5ZIy8eY+4K9p0s9HnX/HRRkmPFLOHkK0s0Yr8Is87u3eZlJpf0i3SbXSE52v8aSzDVW8+ZmbI8nXQrqXn6aGW+avt3cwyzMMuu9AiXf5mZ8sv8JDkxpKBwOM4lM+o7iCYyzzDovf/OdKLRv9ccUOxym/3hBpmkrs3ma351PU/OZFD3blGtzuZkgWTKTpLqOx+rxmOlfs+MfZtKcpmeY8ZnewebvJ+eImeBj0Fu18VsoUePgt8cff1xz587VX//6V3388ccaNWqUWrdurUOHDunHH3/UL7/8olatWmnSpEnV2u/333+vn376qSTsTZJGjBih2NhYPfbYY7r22mvlyafCSbM+fr2+2mkGinh5eOmvZ/xVrYNbV/KsRq4wx/zB2/PNH7jNy3z58g42X8QOfmUaZPOOSsHdzSziNi9JdtOhPnyIFDm8vl/FyZOfKm1/UUr6TZKHef0+TU0jmr3A/B4jhpsZyP64Q5JDGjrHDGSVTUrfJcluOpEUpJkv7Ud+NDde8lNMo7CHj/ngdRSZ33H7G0zDLQAAJ0NhhjlHSVJQJ6sRZfdbUvIq60v/uD1SE9IrXH35pQngkkwHNteZWlCJggwpdq4Z4FyYaQYpegUUfydymEGYLUZLYVUbqb1pk5lVZvNmc/N9yBDTYOLjY26+FxSY2VTP77xY2v8fKXOfCRkJaGsawCTJYcI11LtuG+vL5RUodX9U2vasqd83nUwYnIePe+dXmZCujz82wRkVefJJMxvFnj3ll9maaNK5+kb2VWSQFYhyRssz3LYraoK0+w3TcJBzWPrj9lL78vWxbiDn5lYc3LEqblVJQ/QZLc9Qob1QbYPbalfyLj3/2/OaPny6JJU00KXnpav7W93d9vHK6ldM8Ft9CO1nbjjlHZXiFkgdJpqG6DNmSYd/kDY+bMrVUyfySZNMJ9rcXNNgU1BgblBHRprO2D/9ZDquXHONaej56CNp+fJKdtrnGdO46Tqrs5NPeEkHeptN+s9/TOBV0XEv/6GHrBvjQUGm0eLqMrJsnnzS/BsSIr32mnTTTeVXyzk4oKSTerEWQS3cBgf0a2FGYP7zn6aj7fGz23p4mIE1kvTg4gcVlx6nMZ3GqEezHrrr/9k77/CoyuyPf6an994LndB774jKomDvYsG1rq666trXtuqqP7uuba2IDRVQQHrvhBYghBTSezJJZjL998eZySQkQFBUlPt5nnlyM3Pnzq3ve97znvM9g27imXXPcPW3V7P1xq34aH247z4JOGxuFoGnFStgxgzZTmam9Anr10uy2tbirUz7dBoGjYEbB97IP1f8k5X5K5l/yfzfJPDjF5N0CRx4QYI3K9fCoh6SDGDpQLXvRDhtkP8plC2T4NOQfjIZ5EnKc9rEuRk/Hfr9WyZMcMkztedh8V9Yqrzb0wVAr/tF9M1c7J4EdVd8bxVseuutIjIAkrT/4YdyD7bsllOc/JGReuj3HGx0F26wVEHBpyd/nEBOjoi+gSRZHC36BnKPnzQ974W8D9sKoAD4xsKA51v+veMOSdbftav9JqZN8y7fd5/YNPv2tV0nMBAuvRTmL8sHIDEosc3nnv/rLfXUNdcR4hPyMw7mj4fHpli/XuyMr76SSk+tJ/3q609iUsjlgtpMqFgtk/eGcBGu8DwTLrskssZNO95W/jikXgPZr0HdLjCXdGhPnDQZj0hQ+9H9k0oD/Z+lfLeofUb5R7X7anRANA01DZQ3lnOo+hDbS0XUNC4wDpX7gVWhotJUyef7Pj8p4TcQoZMff5QkrGOxvlCy9J6d/Cz3jrq35f2zPjmLpYeXsr5w/e8m/Hb77dJ3gwhJvvVWW7FKu10SyyI76cZ86CGZNHc6pf+/9VYJVNVoxI7/8EMJPuneXdZ3upw0WWWyT6PW4Kfz/vhf/iKiTjt2wLffStv+979LcoDLJe3vypVw/Sm4xRRODQ6HJPLn5Yk9CtKOqtXuIaBLEvojziCtKI/w27ldz+X+0fe3vP/vdf9m0aFFrMxfyfUD/xw3cWZZJuuOiH/p872ftwhtAtQ21zJ3z1yu732ezEfZG6But9wUKhX4xsn8S7YEaFYE38zN94SzYIEks/7jHzBggLeqal2d3Gv9+kkS0fr1EsgRFCRJrx5xeIdD7J12tcGOJSS+/VYRffNLhAlLZb3yVeJj8FC1AQ6/I8mygd1h/I8QkCrzRJ4gPXujiNKsOkvml1KvheHuRMe8T6DhgEz0G8Kk2FBACvP3z+f676+nR0QPPjz/Q6Z9Mo3pn01n1bWr6B/Tv+XnK5oqmDVvFttKttEvph87SnfwxjlvcOOgG3/eheskr25+lTuX3Mn4lPHsKd+Dr86XRZcvIiMq41f9XYU/Bq+84l1+6imIamWS6fXQs3M5gULdbq/gb7c7JPgaYOstEhTrsQf7PuWdd61YDXHnyPuJF0DJIsh9D9QGvvvuEy66SGz888+H995rb9cYjd7lA1UHuOjLi6hrrsPpchLpF8mXF31J1/CuJ3EQYmM1NUkz8vnn0ha1ZuBAwBEMBbHig6vb7U3A94uX4NC9bvXupAs7J/xWs11E30BEELS+Ehfw0wixy01FoA/jmczqFoGGf/9bxosdcemlIjAB4nucOfOkTkE7/vtfeO01Eda64AKYPFl8WDqdCLlv2iTJ+1qtiM3l5Mh1S0sT4W2NRmxMu138XFHtTf/TBpdLxP2ys0Vs0GKRQGKN2y3udMLo0V6bWOEkUaloEU1p7ZetXCdzESXuahDnl4gf5QTs2iW2wo4d0KePzAf16CE+JYdDRKmKixXht9+EpkIo/l6EG9R6r5iDSu291t1PvrCrwu/LZZfBggWy/MMP4iPokK+vE7GRmKmtbOePROzVQ+XaMyuW7WSwVEHTETmHjmbxwas0Mi/rEw0hfdi0SeaNDh+Wfiklpe2Y3WIRv4sn2Xj+/vlsLNoIQJAhiNuH3k6wz8k7ux1OBzcsuIH/Zf6PO4fdyaGaQ9y08CaMFiP3jPwFKv+nQtCtE4k1ToeLDRtkzik/X+w6z7hTrZa+IiBA5gGuuUaSC2bNgkcflbkjHx9Zp6qq/ZzVqaTYWMyHuz7E4ZT28oJeF9ArslfbY3E5eWHDC7y57U1iA2OpaKrgiQlPcGnGpb/ejp0pOG3iJ6jeIkm6vgnuuAhPPK5NEv66/FUSSh0m2P0w9P0XxEyEs3fC0hFiywCXXw7PPSfz/199JfMV11wj9nNBgdjnkycf25bvkNRr4NDrIvZ1NDFTxMeB2EO33Sa2+9H06eOdF+nfX/zKL73Ufr2ZM71zu0GGoDZzS2qVmqTgJHJqcsitzW1JpA/xCeG7S79r8dkfqj5Et9e6Uddcx+Haw3TZdb+0b5GjYcBzsrG8T+DIXG8xKZ9oSPyFA5fTgC+/FF9Yfr7MS191FSQlSdttscj46cgRaYusDivXfnstc/fO5ebBN/NV1lc8seYJFl+5mL7RfcWO6vF32HYL1GVKwYPeD0rcmNpbFNTX18l998Hdd4tIxvjx8PTTEpOj14ug5aefyn3pF2Tm4i8vpsnWxDt/eYdLel/C9pLtvJ/5PuNTxnNVv6skCeWAez6z6Bvodptcn2Hvw76noPg7mQ/ucpMs2xuh8GsZ/0aNhXP2itBX9RZwNLeJR7Faj3PyTiJh0m4XobvKSjmvFnf+nl4vPsb0dFk+IbYGyHoGyt0FQCJGyrGq9VJgzWGG8BG/yhygy+Xi5c0vc/fSuxmbPJbtJdtJDE5k4WULSQ1NbVnP6XLy0IqHeGbdM0xImcDqgtVM6zKNuRfMJcgQJP6DrrdIHFPpYthxl9jd/qmSyNQKgwHeeacTQqYRwyDpUik81xGak6iaduBF8bH6xkF/t4hb6RJ531YnY4Xky0W0KvtVsRmrNss+9H0S+j4BXxjcBUOB5Cvku/V7xdZckCbHai5p+cld+wJaYgWHDJEk8V9EQKokaBXNF1+zwyznRxvQ7hx7OFR9iPImqXwXFxjXpoCMyyX+8awsKBLdGoKC5BHw+MUHDJBnWOHXo6pK4lMWLpR5jIcegkGDZB5TpRLb78gRr6n6VdZXXPb1ZWREZXBu13P515p/sbdyL3MvmCvCp11uguxX5F7dcRcM/a/k+ExeC+subvGZXnklPPOMFM358ENpF2+4QfqKigqx+dVqePhhuHvp3TTZmugT1YcVeStICJRJlle3vMrsAbPpG5Uhom6NufJMeIpG+yZIYuAut7ERc1anhN/WrpU+xOmEiRNl/sZTFFRBQeE3xJgtc661u8Q/GtRTCmS05LJZRUjVL56mJmmrSktFnNFikWdYp5Oxbp8+p7cvPjsbnnhCRNjVaolFSEmRmBerVXy78fHSdjZZmzj3s3NZd2Qdb537Fj/k/MAjqx5BrVLz4Fh3IOspFOCorhZb/scfpfDNU0/B8OES865SydzUkSOnSGBGodNUm6ppsIpocrhveDvR5NY29pikMWwr2UZ6WDoLLlvQrqDuCXE6RAShqUB8di5Hq6IWapn7i5QicIuyFzHri1mkhaZx78h7mbNgDgeqDrDsqmVe8TeHVfIOTEUyhnI0Ay7Je9UGiLi2f2JHe/Lr4nJJwfn8j8U/GT5EbAmNLy0+EY2vCKkotMVSLeP00sUQMQK63wnBvcQedFqguVLuocCunWuf/iTM3TO3RaDz4q8ubvPZuzvf5ZFxj3ReFDF+hvhAGg/D9ttlDBkzWYo7topR31m6s6X44mPjHmsRZ86vy+fdne+yPG85VoeVBx/Uc+WV8p3rr5c8n6RWTUNRkcQI/FpzwHm1eWwu3gxIkchzu56LTnNy6qEXXwxz58ry229LnPnRYkgWCxiy/gEH/iNaBKO+gqgxIsbTlC/tmblE2rZTLfzW2b64E8VfnntI/Gwg/bCnmOHRbN8ucfgul+S29OvXtiC41SqxkJ2+rmot9P+Pt7CBwwyVa9qvFzla4lsKv5YY8oP/5xWCa8WDD4qP2DPeS0qCMWMklmLrVrnn/vEPKT779f6vZZ8dVj7b8xmpIakcqjnEvT/dyxcXfdHJA5C8mZUrJVemqEjswdBQ8Q2rVPLbvXpJXP3pyrnnwmOPiQ/wq6/E5x0a2nYdm03s3m0l23hs9WMYNAbuG3UfOo2OhdkLeXrd05zd9WxGJo6E7ndA2RK573feK8XpYibJa2GPlsIEa9d6t+/JOWqNSuUWofs9ChiZiiDzfvGd+SdB7DkiyqTSyZxFc4X4ZqPG/nr78BtRWuq1sxMSjlOstGypNw4h/XrJ92zMhY1XgemIaINEjJQ40j8RLpcLp9tXqlKpUP9coV5rLTTkSJ/gMLsLGajFPtUFQeQo+evhWPe6ywX7nxWxVnuT+KqDe4uN63JIvKC1hubkv/HAA5LDV18vRU89ecUajcQU790rc2meIgQKvxJ5H0lRP6cVBr0KSRfL9WqulNhwc7HkEf4ZhN+qNolAa0O2+FISzofABLk37U1yrPqQzgu/lfwgQm3G/RA7TcTadO4YDLtRfLI975PxXf1eqNkmmkVaPxlrqfWw1V1gL3oSbPur7EuPe73zp4ffBVOx+H1Bxh2n0Gb72cJvkZGRrFy5kiuvvJJVq1axatUqVCoVLneDMHToUD755BMiO5u15Gb+/PkEBARw0VGZy7Nnz+byyy9n8+bNjBw58ufu9h8Sl8vF9tLtLMxeSGxALNXmagL0AVzY60LiAuN+ld802Uw8uvJRXtz0IiMTR3L70Nu5b9l9vLTpJZ6b/Bw3Drrx53c4f0RMRbDpWqjdIcEYqddIYn7lGulAmyvE8IieDBvcATvDP4KUK8WRkvu+JLTU75fE6TMpWK50CRx4Tpwjwz+G5EvFSZLzX6jdIomqVZvknKo0MpiyN4qSpkotFfGynpGg/PgZIhqX96E0tucekM7JmA1V6yXg2G4S0TdP5XYFBQUFhd8fp90tmOoEXIDKXWVGJ8lWf3QC0mQgtfNu6fMslW6HzBgJ4Gqt9qzQhkmT5LV8uUzAvvQSjB0rE7EgDtTcXEmEUziKgs9g619leeJKiBonjs4jX4ht1ZQvNmwnhd/+9S9vMN28eRIw3LrSmdMJlmYnrPibDKgjRkH/Z0XVv3SpJD/mu4V9IkbIxM3vQcZjYkseel3aneIF3s9UWnkuEcfT/Plw//2SGNma2Fi45BJZDgyU+/P22+G7tgWG6NULzjoLnv5eArh7RrQNwvL8X9FUQUVThYiljPkWNl/bTogOlRpSr2XUoBBee01Ex9asEZGjWbMkQMLlEuf+zp0w70sbcxbOwYWLiakTWwQARiWN4qusr3hm3TNcmnEpZpuZVfmrUKvUzL9kPoF6mUhvsDYwc95MVuStILMss02i+3Gxm8FUKJNz4K644RkXOmUng3t3bmJIHwIj57onVn+EhV3lvtGHyxihzfn57auuJCfLtb/uOqn2fdddXuEWD/9y5wir1bBokSTtvP1223UuvliEVQAITIdJq2HNDElM8BDYHUZ/2SZZcsgQmRB5uJWO4pQp8OSTbbd/4YWSkNu6OvxNN4m4oYcrrxSRuhtukIAbD3FxErD4VpkoayUHt602pFapSQxK5HDtYfLq8lre79FDkpPPOccrTKdWSxDyqFHw3YHv+HDXh4T6hOJ0OblriZy4tNA09lbs5ZGVj/DclOcYOBCWLpUJ2kOHRASudeVZtVraodX5q5k+dzqN1kZmdJ+B2W6mS1gXfsr9ibM+OYuFly88/QWz1FoYu1DE0CpWAy4RN/cQPkyC1LfeLAJWgd3E0agLcjsTm8RhqA8VG2PLDfL/gBeg29/Enjr0JtTvE3HJ0iUi/BY7FYZ9IDaKtUa246n2oTZAktv3lvGIBM4felV8GDXbvfum8YPoiVw3UhJxn31Wkl6WL5eAqfBwua+2b5d774kngJTLwFoFux7w/h4AKpm4STi/U6dt+HBJfHj8cWkTZ8yQBPb4eLk/ystF6Ojhh+Ue7zT6EEl+WHWW9z2faBi/tI3T1d9f+oohQyRgzMNjj8mz7cHPT/rOYcNkkhckWeHzzyXgraBOKqAfHaDU+v+CugJCYkJO4iD+uKjV0teCtCHFxXItY2PlmW9slP4uOrqtuOAxqc2EJW57p9+/oec/pN/I+8gdRJ0ltlHctBYf67s73kWj0pAYnMj20u1c2vtSZnSfcXKBGi6XBKjY6sQXpda5A8hUgEvGPgFpvPO+gZUroaRE+vSUFJnkVKvFvnI6xaZISjr+z3lPoA7GLoBNV7epPgfI76fPAV1I548DICQDhvwXNrVSCdX4Sj8dOYqyxveAjoXfovyjyKnJoayxrEWEqH9Mf3be5BWO3F2+m35v9WPdkXUcqT9yUsF60dEiUjF7dttJe4Brr4XYtBqyFmQBMCxhWJvPh8YNbRF++9kcS7yok9x+u9zfL70EH38s9sKQIRLkUFUlbeeDD0rCV2eYPFnapZtvlnvqP/+RV2s0Gkk0mr9/Po+vfhxfnS/ndj2X17e+zqTUSTw89mF6RvZErZZkieuuk4prTzwhr4gICagxGiXI5kwSfistlXNx5Ii07X36SDvkCRBxuSQwZGDnhlinFKtV2orDh2WMsn49ZGS0NZNttt9+v35PXC4XK/Mk4W9G9xmMThrd8tlfuv2lRfjN5XK1JLX+kXlti2QEn93lbJ6Z9EzL+5/u+ZTnNzzPq1te5boB16Ea8Qlsvk6S/kwFIuygD5NxspvyCg0bNsg9ExcnCUJ9+nhFx+126Z8XLhQhJxC/zKuvtq+IflLNY89/SL9tKoSd90iysE+UJMiu+Yv4MHxixBYuXyF9bN0eCVpwWuUY1l0o2xrytswpHX5HgoTyPpaJ95C+8mBsdEeDxkxlWUUOl34tjqUw3zCe3/A8CUEJ7C7fzdSPp7LuunV0C+9GZlkmM+bOoNBYyNX9rmZ4/HCKjEXMWTiH3eW7efGsF1tsBbPNzLoj66htrpWkMWBs8ljCfNsGGLhcLkobSzHZRCwqQB9ATIA34MLhdPD3JX/nlS2vEOYbxrT0aXQP786b295k1Puj+Oqir5iSfhpH8v1JcDoleaWoCBoaZIwTGCjtv0ol97knobMzzUlTk4hCl5fLcxYdLf1Ka6HOgADo2kmts//9D664QrZ31lliB3TrJuMVo1HG0336yHj8hIT2lyTHnLclyEWtF+HvrjeLbbn9DlkvIBUGvyljyf3PQdVG8QXqQyT4zk1srJyvsjJpN/buhb59JRnWbpdxVHm5JGV+nfU11353Lc32Zv41/l84XU4eW/0Yg98ZzEfnf8R5Pc7r3AlBfC9z5kig2cyZ4u9IT5fzXF8vomZ9+/rQf+Q8GYeXr5AxQ9x0aXes7VVBzDYzi3MWs79qP6khqeTV5TEqcRSjk0ajUWskyblkkfheN13rTg7IgH7PShXIvA8BsVu//VbOxRtvyPkZPFiC3qxWsTfq6kQAf+1asemefFI+691bzp3ZLOdTpRIRihaOEaTncomtuWeP2ILXXCNJoK2rKjc0yHZ79ZLrEhEhglxxR4WaHB3H/Vvjcsl+ms3y/DidXh1TrVaendmzvaJ58+bJOKu1UIHTeQKxgl/AztKdvLrlVWqbaxkeP5wfcn5getfpXD/w+nZ9wGnPsYI+A7tKNdIdd0nwZ1O++KIC0sFScdI/U1gIBw7Icmqq+E66dPHa2M3NMg+k8CvjcsHKSRK0GzEKJi6ThNSK1eJPLFsm64UPFwGHPxO/VTD/78Rll4mf1mQS/7yPj9gYfn7SlhYVyXv9+vwLdt4l13zvk5IoETZE+rIl7iIgsWeRnT2eQ4ekr4qIEP9F6zGAwyHJN0eLrnaKP+K1sJvhp+ESrxZzFgx8QURRqrdIUqnxANibyAt6irFjI7DZJGlp1ar2Ae9Op5yC0oZSbvvxNr7Z/w1X9LmCiakT+fuSv/PWtrd4e/rb7Yo1WewWLA5Ry9Fr9PhovdkTDqeD2d/N5uPdHxOgD8BsNxPhF4EKFff+dC92p72NSPpvTicSa35Y6J1Du+giET0+WgjI5ZLEIc/XPHa6Z5OeZdEu7eT4v5NJP06Xk7e2vcX9y+4nyj+KJyc+yUubXuKJNU/wwOgH+OeYf2LQGqg2VXPNt9ew6NAixqeM57Yht/HIqke47OvLWJ2/mpemvdTm2tWYa1qSHTUqDamhqS0Jj39Kfunzn/u+Ny5i0ip3XEStFBar2yXB9ZZqSQbr92/Y8yjs/zfkfSAiDCptm7lnPz8pRnXddZLMt3p1+2JxxxTSPBZaX5i4HFZMlL7VQ9w54mdvdX1feklExxYu9K7WpYvEIrROVHv2WfEfr2mVtzh9usztPrvJW9TraL9XSkhKi/BbQb3MT/WP6d9mvfSwdAL1gTRYG9hWso0u/Z+HzdeLIP/OeyQpLbS/zB0sHSpzh+65PafLyeaizWws2kh8YDxFxiJ6RfZiYupEDFqv+szBqoO8uuVVsiqzOLvL2Xyf/T2jEkdx65BbSQz+HZLl3WzfLucfJGlp7Ni2YhuesVOjtZELvriApYeXkhqSSpR/FONTxvNl1peM/WAsCy5bwJjkMSI4aC6GrH+LP+5oIS6VBjS+3HWX9KOPPSaxBxdc0H7fnnkG7lx8J3sq9pAUnMSb297kzW1v4qvzRafWcfOimxkSP4QesWdBn8dFSGz77TJODR0gc7ruJEgA0mZLrHrOm5IMmz1GktxVWpk/c/P++9IGr18vY+zLLxcfeFCQ+B3275dx7dWdaDstFkn8XLNGxqQffeS1HdRqsf9ra2W9Tgm/Va4V/4XLLuOUdHdxhuzXRGylZovE3nRW+M3WKPFOlmp5LnXBcj48DiCcENAFm9rAHT/ewVvb3yLaP5rzup9HWkga72e+z7B3h/Htpd8yMnEkjdZGrpp/Fd8e+JYeET24uPfF+Ov9WZi9kBHvjeD7S78nPSxd5uItleKPyX65pUBHC2pdi1jgOedIzMQtt3hFxzyn/J7WWg5D/ys2fd7/2m4rfJi0O52l3zOw9jxJINxwhcT3+8ZBv6dh7SzxA0WOFZG3piMiJvjTCIgcI/4jh8Ur+gYiajXuB8mjqNogft3W92XoQDKGRPPXv4p/Z8cOOa5zzxU/k0Yj82cHD8p4Pyio/S53yLAPZD+Kv4OCufJqjb/MTRYbi3lo5UN8uvtTbh1yKzanjf9u/y+z+8/m8QmPExMQw403SnEDkL+zZ7c3MRQRmV+fmhq5PxwOKTQxfLj4Zz1th90ufi2VCj7d/SlXf3s1TpeTnhE9abA0EOUfxTf7v2HWvFl8dfFX+AT1gGEfwvbbpK0u/UGK7Gp8odYTH6PCx8drJ6xYIaINc4+6nW6/HX46/BNfZn1JkCGIYfHD2Fkqc+MTUyeyIm8Ft/5wK2uuXYNq5Dyv2ObifhB/nsyDWGs4Wbp3l75r0ybxPc6dKz5hT5xtVZXMI560HeO0SxK6y+F9nlVqaR81fp2P7y76FirXi90QNQZ0oTLPYzPKdl0OiVHSh5zkDp5+7N8vIhCeOJfERBl7e9oKh0PimjoTA2K1SgG5rVslVub66+Xe1uu93ZPdLjaLklj922Fz2LA5ZfJdq9a2zAUCIsB7+F2J6Rv+P/GbGveLTXLkS7nvNT5c95/7+egjuR8++EDiPkNDxZdttYrvpdMFMeHUxs+ay2V+1VQoBbv8EsUesTe52wGJd/ruux588ol85d575V5tXaDV6RR70WwzM+PzGaw7so5o/2jWF65Hp9ahVql5aOVD+Op8+fuIv59SAQ6TSeaCQGzNHj2knfTMi1it3tgshV+fkoYSnlzzJB/t+oibB99MSWMJi7IXcc/Ie/jbsL8RaAjE5rBx+4+38/b2t4kJiGFWTxFi+yDzA4a+M5TvLv2uXdzXMe8Ta70UXm4ug8SLYPBrUoS8bJnc1w0HxRYN6sWigo3M+mIWVoeVlJAUNhRuIDkkmcyyTCZ/PFnE3+q3SRyCvREGvixFnrV+IhhmKpR5ktodIvTdCaxWmRupqZF7NTDQ26572vawMG/85HFxmGScbjoCsWdD/+ckhrjoe7FhPHZv1FgIP3XKxLW1IjJbVCRtVVqazE0fHT/Vp88p+8mfhd1pp7ShtOX/mIAYb/yntc7rDwrsDhGjwS9Ocpkr10K+NHCuC+qpbQyivFz6YpVKfEetr5dafRKiVE1HpPhAcwX4p7jjkdVIjoX7Fdy78+IVncFpkz7ImCX2W2h/KRpprZHPXA7Q+uOMmcJzG0Sw4pbBt7SJRfnX6n+xs2wnr215jUfHP9q531VrpZjjuovkXO+4s/06+nAW5ywGoG903zbbrm+u5/3M92m0NrKhcAOXXz6e8nLxnaxdK/ddly7yvJSXS07Za691/lp4ClA1NIg/QqXyCmt55p9TUsCGiWfWPsPzG55nbPJYZvaYySOrHiHSL5JXz36VSWmTOveDSIzVCy/IMSxeLHbipEnie/LEkSQnw7yH3ZMsLgfY6qUPttWLv2b77RKX3OsBGZufSk5hXzxnjsTCZmaKXz8gQMYrISEyz19aKm3JBReIiNCdd8pYv1s3iSmJjhY7Ys8eGf+3zoM5IUkXgvUtaR9bxcOh0kgBxHh37MmwDyRntZ2/Tg1p10NgV+JCxY917bUy1mpuFp+xh4gIcGLnb4v/BsD0btOxO+1UmiqZ1mUapZmlfJn1JavzVzMuZVyndv+f//QW/HjlFRFNO9rUO6lL0pgr2gr2RsmF0PrLMXo2pFJJu3AK6d9fClncfrvkcaSkiNBhfLxc/0OHpCDEmo1NXPHNFdiddgbGD+TBFdKX9o3uy6aiTVz5zZXs+usuAmPPFh/Vnsfg4ItSjDLQHVTV6Db6UPPFF5LnV1AgxQDnzBE70N9fYoUOHoQRI46Ks+ksnXgmmqxN1JhlPK9Ra4gNiPX63SvWSCEVl1OOJfFC6cdz/itjhbpMKF+BccgK9u2TGAmnU56F1naryyU2d1pah7twWnDRReKzefFFuQ/q6sS3FxMjbW9RkfgnXv3PfVLQo2YrrDpHBMcCu8g8zt7HJJbr6IL1vxSXC/Y+LnPiGl+x6wxhEidhLvMK0fW6XzRITiF2p53P9nzGU2ufIik4ib5Rfflw14dc3e9q7h15L7GBnTH+3Ox+CPY9Lf7fCT9BSD8R+qreKuNPc6lotHQmJ8tplVzfpnzx6aZeC/7J4sep3gQHxVdd2zyABQvGUlEhgn4zZ8o8gccX53LJfevnx++S33lGYTPKdVOpJWfbECnv1WyBrGelXUy5Etvgjykpkf7WZJJrYzB4bR2XS/qx01lwnoZDIiIMMg8ROVbazrwP5b6t2wVRE2Dyys5tb9V0iYH1T4Ve/5S+pHqTaDscfFnOq18CjPxMfLb1e2FRT0g4T+ZFmiu92zKES6xp8Xfyihguz2LoILHdPLZv8mWnVPhN5XL98qdn27ZtbNmyhbq6OkJCQhg6dCiDBw/+WdsaMWIEDoeDLVu2tHl/3759ZGRk8PbbbzNnzpx237NYLFg8ZaEAo9FIYmIi9VlzCQoOkQkmtUEaN5tRJvw1ehwRY/k2fz21zbUMjhtMQlBCyzayq7PJqswiISiBs9LPotnejMlmwuqwolap0Wv0NNubUavU+Gh98NP5ocMBdXvFgaDWyUOl0gFOSVqwNYgBFdRNRMDsRgjoArpAuWEsVdKBOG0QkEa+Npp5e+dR1lhGv5h+9IzoidluZm/FXvZW7GVM0hjO63EeAfoA6uqkQywulsGApyKEp0rWsGHQpM9le8l2NGoNCUEJRPpFUmOuodBYSLO9mYGxA0kKSuKlTS9xuPYwk9Mmt0n+3layjV3luxiXPI4r+155cgkzTrs4O8ylMoAGcd77JcggWhcgN7vxgDhH7E0yKahSSSerC4ag7i0qiKWlEiRaUyPHa7eL4yA8XAKpoqPlJxwOGUSUlUkDZreL0zQtDXr0cLG5dD0Hqg6QEpLSJoGxoqmC/Lp8ekT0YFTCSFQ1m6Fmh9xDfsmyvyqNHE/jYXHe9vqnXOfKdV6jUusv94CtVgyDgHQcKVdT11xHXXMdzfZmfLQ+qFVqTDYTBq2BEJ8QQnxCvEE9LpckxJiL5R5R69z3US9xPHgwFUtDY62T86fWiVPHc461vjidooR96JAMkEwm2byfn0yODRniDdJzOMTgzcqSga5WK+c1IwPCoywsOrSIWnMtA2IHEGzwenEPVh+kpKGE/jH9GRw3GBrzJMm2IVsMCo2PnBN7g+xjYHdIuVwcG1UbJJnHWgeOJkAtTjNDlDiiIkfL+a3fK+feECGT3iq1GB8aP4iZzA67LztKdxATENNGhKPB2sD2ku0E+wQzvdt0VuatpLihmF6Rvege7h39FxmL2FqylTDfMM7rfp4E9dubZN/MpbLvTrsciz5UGvWQPqBSU1Ul57esTM6vxSLGd0CAGLBRPbNZU7AGX60vl/e5vM1ztCx3Gfl1+XQP7y7BIR5cTihfJVXotQHSQQSmA/DN/m+oMdcwKHYQA2IHtHnsvsr6irrmOobFD2N76XbsTjsTUyceVaHMxfs738eFi6npU9sm4FqqpaOzm8WgCx8Kmp9ZIsppF4G+pgK5rr5xIkajD2FbyTYyyzKJ8o9iRvcZbb62On81h2oOkRaaxsTUifKmwyqOyuZyuVdUGukc/VMhsBsLc36UdjO6H0Pih3h3weXk410fY3PamJw2mZSQFO9x1u4ScQJbo7Q5nrbaT/qFwkIJ/KmokIG83S7XVaORNnbiRLfhijwvmZmSPFFXJ89OVBT07CmOGw/l5eK4qa2V59FgkGesVy+oUu9hc/FmQnxCuLDXhW3OyYKDCyhvKqd/TH8arY3k1OSQHprOhNS2I9PP935Oo7WRUYmj6BnZU/og4wF3JZImeR5VWmmn9GEQ2u/kjQxbo4hRmI7IfaoLFgdlcG8J5DhJioulba+tlfNoMMhz07On27nddETaXE9bqNYDaulPVVoI6MIPVUWUNJSQEZXB8IThbbY/b+88GqwNjEwcyb6KfdRb6hkWP4w+0V6vs9Vh5eNdH+PCxfRu0yUZz1It585cKsaj0+au4BIoA73QgdJWtWykHipWSt8eNlSqxnSERxBUpZaAQ09y4lHU1Igzqb5e7pGRIzsObGlqkvVqa2Vw1aOHvP911tctts7R4j6e+2Rk4kh6RfaiulrsidJSrz0BYk8EBsLw4S58gxupNlfTaG3E5XIRZAjCaDGiUqkI0AcQ7htOgFqFqugbafv1ERA2wF29o1Ke2+ZyCflqLYEAAIo7SURBVH5MmQ1Od5+v1nvbdI+T2eVw92chHDkifVhNjTfJx+PccDrFufGzErDr90vAtsMkz4NfkrTp2lYKIuZyWccjmqLxlSSxgHTv9bU1yGRofZbcMw6TtNm+cRI8Fz2ppQ11OKR/3b9fzrPBIO1Dv36trq2pSPbNVitiErjkd/Wh8pwFdZdOvDFXzrOt3u30UMn9qA+HwK4sKd1PobGQnhE9GZXUNgPwy31fUm+pZ3jCcA5WHaS2uZYhcUPoF9OvZR2bw8bHuz/G6XJydpezWZW/CrPdzLjkcXQN92YoljeWsyB7AWqVmsv7XE5dlQ85OXK9NBpx4mpbxcs5HBIcqNfLBOyWLZJk2dDgtTtCQyVpb+KsfJblLsOgMXBZn8vaBD4vzllMkbHI+8w3HZFzYql0C3Do5J6yGeX+CuwqAaqtqVwHjfngFy9JLx21XzajOJas9dJHhA/psM1saJCq5BUVcgypqZLceHSFRZdL1isokHt39Gg53uxqsRMMGoNU623F7vLdbCneQqhPKBf0ukDapapN0i6qtHJ/qPXSn6k0ENIXU/gF1NXJRKJOJ/by0QEDnvczMyUwKDdX+jrPuiqV9Htnnw1DBlpkwqs+S2xTjZ+cZ1zucxPpVpP3l/1rrpT90vrLPjnM7uffT0STTQXQVAgum7syr/tEWWsksFDjK5VZW7eNnZloMJdK4ndTvmwjJAPizpXn9ig2bZLAyYYGcUJfemnHAkI//CDVVWw2aYdnzgSX2soti24B4M7hd5IR5b236pvruXupqHg8MPoBCej0ULZcxM4cFrkn42e06SusVgms3bZN7InaWrlOHjshcfgW/rv9v/jp/Hhh6gtthGre3Pom20u3MyJhBIGGQJYeXkrXsK7cN/q+Nsfz73X/Jqcmh7PSz+Ki3he1PdhjiZwUfSdtoUojIm1ad1Umay0YD8r1iz2rbSXSE10vRzNUbhBnirlY2n1dsIz7wobIRENr0fHOTjR1VqjlBOt5qvkuXSrPq80mtsmQITIZd3SFksWLJdEKxIE9fnwHG20qlAkJa50E3ibOlHFFByxbJvdn374yqdQ6kdWD0ylVkzZskECvWbM69qUWF0sgUVmZjOkuv1z6nBc3vkhWZRbjU8ZzZd8r23zn2XXPcqjmEFPSpnBJxiVtPjt4UBLQnU5JQu/bV8YWD614iPKmci7qdRFndfEKa+XV5vHU2qdQq9Q8O/lZQn1DW87x9u0yAVhWJu1ljx5y/gIj63h4xcOY7WbuGHYHXcK6tGzv872fs6FwAwNjB3LLkFvaHqy5TNp2rR9EjW9rp7WmPkvG2voQcRLq2qtMORzyLObkyPWPihJ7I6ZVgYzKSrHra2pk8t/hkLFBVJS0K22qGFWuk8ALR5NU3/Mk2Xk+q8sUmyIgXewIlVrGynWZYnv2vFdskYrV3jG2NsA7xnbZxfbo2uqc2BrF+WncL/1ESF+I/0v7fsxUIuuZCmWbof2l7dR7x/v19VLJc8sWsRftdplY79lTgtTaBKR47nVLpdgu8TPEfmlFSYnYQ3V1cu5cLrE54+LkPBsM8v6GDSJ8WVsr66rV4v9JT5f7r40ISWfbiZrtIg7mlySCdMcIMK2slMTJqiqpXjruGHOzJSXw5ptyTq69VgIMnC4nNy24CRcubh1ya5sxu81h4+ZFNwNH9SHWOmlrm8vkWuuCZB+DM8R+bk39PhnLupwyZg8b3H4dpI9btUru0fBw6cfCOogdsdlkPFFWJs/00cE5LpfYsIWFci3MZrHJ4+OlXWkd4HciDh+Wib8DB2Q83NAg7/v5SX93xRUQEFFHRVMFRosRl8tFiE8INeYatGotwT7BRPtHS3XQpgKZNG3MlYASbaD8tdbK/e8TRX3KdXy651MyyzIZEjeELmFd0Kg1lDaUsqV4C746X67tf620Mzaje+xc7BVeVGsBlfhwA9Kl/6tcK7ZNzFnin7I3yvuehJnwIRysGsqGDfK8BAVJcK9e77XHHI4OhN86cw+7XDL2KF0q486g7vKM+XcQPdzZZ6JyPRyZBz6xIqbj9jm+tuU1MssyGZk4kusGXNfmK69sfoXd5bsZnTSassYycmpymJo+lYt7e9URXS4Xdy25i0ZrI9f0u6atv6uT++Z0ygTx9u1yj8yYIQH+B6sO8vyG5wF4edrL+Ou9RtzW4q28vf1ttGotb5z7BmqH2W3DlrjF+rRi0zhtsuwT3VLttd3+/UJ7orZWbE5PALjDIc9i794wdapMrJ3MOXE4pC1eskTGHXq9BMWcdRbEJ5t5d8e77CrfxcjEkYT7etv63eW7KTQWclnGZYxPGd/ikzxyROzcXbtkfBoYKG3YpEm/XgCByyVjj+JisXdtNm/AQq9e0q67XGJ/ZWdL/9PUJO/5+0s7MXiw124vKBDbxGj0BuIFBUn7NGiQ95kzmeQ4KyulTdTrpe/q21fO67Jlcj70etkPj99BpZL70NdXnlfPPnn6+6MnS/3929oKp4Lqammj8/PlnoqJ8bYnnqD/887zzotUVoodW1cn50WtFpskNVXuvda3Wl2d158UHCznNiGh/T5UVUlwndEovzNiRPu23+GQ9v3QIRnXeOZrPO2cx8daWSn77OPTtk3MyDjqvjvGM1FrruXen+4F4KGxD3n9vHjtToD/TP1PW5Hgkx1PdHa946yTlyfj7Koqb2BvcrL0s/trd7K9dDvR/tH0je7b8p1GayObijbhr/dnerfpPLDsAcx2M9cPuJ4RiSNa1itrLOOhFQ8B8OTEJ8WP6bRJUHPdLhl/203Sf/kliX0XMZJmq5ZNm6QfPnLEO4fhud8jI0WU8sgRGZvm58uzFREh10utlusVFNRWdPqE58TWIHNANdvc/bTbp+uZx4qeAEE9pFph1UYJyrY1SH+r1slY0TdWJtQDUmXuqXKtBADY6mV8qfERX7d/MqaoKfxz3X9otDZyy5BbGBjrdRwuOLiA7w5+R1JwEjcPvpkn1zyJyWbixkE3EhvgNWq/3v81eyv2MjF1IjO6z2B57nJW5a8iISiBAbED8Nf5s61kG4dqDtE/pj/TukzDV+vLpqJNbC3ZilatpU9UHxwuB3sr9gIwLH4YQ+OHsiJvBQuyF5Aems7sAbNRIeeutrmW/9v0f6hQ8eDYB9vMXXcKU7HYiZZqcDaL78YnWuwFt+C4zSZtmefamkxyXQMDvc/3SSdDOO1ik5mLxD8QkC6Jx2oNPx3+iYL6gvZzX8DC7IWUNZbRN7ovQ+MlIN1ul/baI5Jls0mbnJAgz866MvEH9o7s3ea6ljSUsDxvOX46Py7oeQEGrYHmZmmTCgrkWM3umDF/f7mnMzJkPFpUJO358OEdC78ldKtkQfb3aNQaLux1IQF67/ixtX8ypHE4K1bQEgjVq5f0H60fjYAAcIVls7ZgLUGGIKlg68bqsLK6YDUqVPyl+18I8w3DZhO/3caNst36enluPX3djBlQrt9AVmUWScFJbeb5qk3V7K/aT0JQAlPSpsh8Z1OhzF805Miz6LSIj8cnWq5b/AzxY9vNkgRpPCDtidPm9k2nim80tD9Wq9g4u3ZJv+65n/R68QdnZEDPCZm8tuU1ggxB3DjwxhY/ls0hybWN1saWMX9xQzHljeUtwiUmmwmzzUyQIYi4wDhiAmLQqDU0N8tYfcsWaV/r6+W+CQyUczJzpgSX4nTI+Llmm7tNbJTxrl8ChPTFHj6c1YWbWJi9kEj/SPpE9SE2MJacmhz2VuxFhYpZPWd5hRKaCiQos+mIxAy4HKANEr9ySF+InoDTKeOmzZulHTUavXMA4eFim/zlL7RcV8/42mj0+mQjI2XsOab143I8URKnXIO9e2Ws1dQkPiStVj4zGEQcKD5e+vycHBnDBgXJZxqNrGe3i3DcSdZ2PC61tWKn1dZKvx8d7bWdPPj4iG2wdKlczy5dxD7zPIsul9gVQUFiA61bJ21YWZk8xwEBXnvCZpO4mL59W+3Ecc6d0WKkylRFg6UBFy6CDcHUNdehUWsI1AcS6R+JVq3l872fs+7IOgbGDiQtNA2dWkeDtYEdpTuoa67jyr5XtrRhuFwyrjcVip/b5RLfil8iBPVkZ+VBtpduJ9w3nJk9Z7bZn+8Pfk9FUwUDYgYwKG5Qm/O4fbvXFxMaKuJOPXt62+uGBrkPqqpk2W6Xti429qi5pxOcE0DGwqVL3PNdldLH6gLFlxWSAVHjcarUOF1OnC4nKlSoVKqWZbVKLe0N8nxu2iT+n7Iyab888w5arbQTsy42c7j2MIdrDksxiuBEnC4nRcYiVKhID0snPTQdg61W2iRbnTtwPVB8Ik6r+MlUaomj8PinG3PFb22tc9sTerfdkSj9Yuu4B4+PxWkVn1lwhtgbrXG5pD0xHgScsg8h/cE3uu16DYegwT2f7XKIz8k/2Z1UfvLz56cEu0nmuIwH5b40RMhY2OWOZdOHYYmfyad5G3C6nN45cjfFxmJ+zPkRjUrDVf2uQqvSyHE25Ulf4mh2+0/0cq/ow361iuVmsyQRlJfLvW6xeNvOPn28YyLguPf6zp3yTJnN0u542pLWY7uYGNm23S72RF6e/KbJJOsFBMiYcMSI9iLJvxWNjdIX79wpbannnHjGq2edJWM8if1ZI+2TrV76RLVe7ne/ZBxRZ/H9sngOHZLjGzHCW8Hb0xY7HDJe27NHxnZWq5y7oCBvO+xySZ+SkXHUfMYvTCLyiBjU1UnbFhnZdu7VMxbXBdayv2o/h2sO02htJCUkhXpLPUaLkQi/CHpE9KBLWBcsdgvFDcVUm6qxOCxE+UdRa67F6XIS7BNMfGC8iKg15UHFWpnP1IVIG6LSyvkzHpDnu8tN1DVHsWaN7GN5ubTTer23+IPdDlfNqeaFzf+m3lLPrJ6z2oxVl+QsodBYyOV9Lmd4wnAyyzLZWbqTeks9qSGpGLQGDlYdxE/nR9/ovgyMHcjGoo18lfUV8YHxPDj2wZYCvk3WJh5e+TAmm6nd3OWvNib+BesVFsq4My+v43FnQICIH9TXi920d6/YxI2Ncm49MVvDh4soVoe/+zP2zeVy8UHmB2wo3MCAmAFtfPu5tbmsyl9Fj4ge3DToJl7c+CKFxkKmd5tOj4geLettKNzAhsIN9I/pz40Db2RX+S7WHVlHo7WRtNA0koOT2V66nRpzDb0jezMqaRQGjYEF2QvQqDSc3fXsNoJxy3OXU22u9sY4NVdK/9fsjjVWaaQvdFjFvg/swk6The2l24nyj2Jcsndyw2QztSRdntfjPMJ8QqSPMB2Rdl1t8IqV2RpBF4gzdBCfHlqGxWFhUuokUkO9/aSnn9CqtVze5/K2wgi/9D7x2FY126Tf0QbK/L9K4y6y5JL4niS3T9pSLWOAqk3S3ml8wDdexqdRY9rMyR45IsLNnjnApCSxw0eMOGqutbPH0FwhIhCWapn/iz27w0lbmw2+/lrs2u7dZU6pI1FNqxU++UTa+OHDJY5Bo4GPdn3EmoI1ZERlcOfwO9t8570d77GxaCMDYgZgcVjIqsxiXPK4drEnT6x+goL6AqZ3m875Pc4XH03FWolhs9a643q9/YQrejKZDdXMPzAfp8tJ78jedI/oTpGxiD3le6gx1/CX7n9hRMIIFh1axI+HfqRnZE+6h3fHoDVgtknMe0F9AbN6zmJiykSKGorIqcmh2lSNXqMnwi+CQmMhPlofEoIS6BLWBb0jrCWO0BO73DoRzumUPtjfX/xvRqP03RER3sR6z2XzjEcKCsS29mzX05aArDNtGuwzvMPm4s0MiRvCpRmXtpy3gvoCXtn8Cr5aXx6f8LhXANpSLWLhNTvEF6MPl/syelKbBDKzWYQG16wR/7SPj/SlkyeDb0wBT6x5ArVKzTOTniHcz+vb/2T3J6zKX0WfqD78bfjfvPdb5VqZ7/QImRkiJBY7crR3vshU5L62O7xxU74xYu9Gjm6ZLz5yRPzjHoECs1l8v57EzfRW4S7Heyby82Vet7BQzm18vFyj1n7sKVMdHG7e0uLHiA6IRqPSYHFYKKgroMHawIiEERKTZioSf6LxoDdezyNMotJAQBpHwify0+GfMGgNzOo5q6UNcrlcfH/we2qbaxmRMILemiaxh2z1ED1R+nZHk8QXNeSIPRs+lC9q6lh6eCk9InpwRZ8rWo6toqmC17e+jl6j5+GxD/Nl1pct82dT06e2rJddnc1nez4j3DecR8c/ip/OHatgKoGSBTL2cNrkeoX0lfvkqKT/hgZ4912xLaKipCBgr160p3iBxB9pfMS3GjMFVGo2FG5oyX+Z1qWtMN7y3OXk1eXRLbwbY5PHStxS1Uao3iz3kq3eHY8dJrkSUeMkjhrkOlSulTwZh9kdZ5koceDhw71jLJdLYh+KF4jd5Jcg5zx8WMv9U14uY8U9e+TZNRrlo5AQiaG84iob26vWklebR3pYOqE+oahUKuxOO3m1eTTZmhidNLpNLDwNh6HwS/HbqHXiw4oaB6H9OVybyyubXwFgWpdpLWNWu9POj4ekD/vb8L8R75/Cxo0yhi0qkv3x+CdA7JN+/aRd7swzgcvpzYux1HjnJ10OwCV+pchRMo5yWKTPMxeLX9xpk3veEO4ex/YQf5TxgLQBKq07H0Mt59lpk7FYzKQObpb2rClYQ3Z1NikhKUxOm9zms28PfEuVqYqBsQNb/K9Wq/gdysvFNrNapf2Nj5exmMfvUFzsjQFpapK2wN/fG2vTWUE/q1X8a1lZ0kaZzW3FGiIi4KLrC3l6/ROoUPHQ2Ifa5AG9tuU19lftZ3LaZG9bbmuUe7hynZxLlU7ia0L7tYsZKigQv/HBgzLGio4WIYPJk+GVbc9zsPpg220jczt3L7kbh8vBvSPvpXtEd7kHqjZIbJylUtpirb/YJyF9cEWMptBUxb6KfZhsJqIDokkKTiKvNo+KpgpCfELoHdWbuMA4XC45t9u3i/3S0CB2sSc2NylJCod0CmM2lCyUNjBiuNxj4M5lK5V2NjhDnqEGT95Bo9yzKvdFaC6XfiU4Q2yHqo3ShgT1lLGT3SQx1BVrJG4r6ZJOFTGub67ny6wvAbio10UE+3gnI/Nq81ietxydWsfV/a5GpVLhcsmY/fBhOSdNTXJOQkOlH/PEvdTWSv/fOr9Hq/XOUXdWvGb7dhmbVFTI95KSvP5OlerkhN9Anqtt28RHER7uLZrYupjgmDGdE36rr5f9q6sTv0B6uleUzjPfrVZLTJbd7tWBOJYA2akWzfKIMVRWik0cFtZW5M7phK7dHKyumE9dcx0jEka0iRU8UHWArSVbCfcN5/we53cul9FuhqZciW3WBUr/r1K782is8tIF0WSIZVf5LjLLMqlrriMtNA21Sk1OTQ5BhiD6Rfejf0x/AvUBYlfV7BDfo8bgznvQSD+qC4LoCdTpRrFundyXtbVyzj1FgkDO/5Ahks/ocDlwOB24cKFRaXC6RRg9Pla16qgLcax+x2mTOQxbg+yXLkjaOYdZ5oGcVulXNH5QtkSea/9U8Hc//02F7nNVK7G73W6noEDuz0OHvPar535xOsXnZE77gqWHl9ItvBv3jry35brUmmt5cMWDWB1W7h99f5treSr8CXa77Nu+feJT8MSTeHwKUVEiRnJ0fG+HOJpljO2ZV/WMG502OW8uJ2j92WssZ1PRJkJ8Qrig5wUtx2p32pm3dx5mu7ntePnonDe13j1n20PmldzU1Ulb4BEo8vhD4uIk9rR1PHvrHAWdTp7zgQPb+ybLysTWqquTMVKXLmLDtPbX1dSILVZdLc+nwSBtUEaG+N6am+WZLSkRW81m897DOp3Envgn7+fNbW+iU+uYkDqhZb7b4rDw0+GfCPUN5Y5hd7AqfxXLcpfRK7JXm76zvLGcN7a+gUFr4NFxjxLp32qC6nj3SWM+VK6RHAFtgNtnp5H7vykP9KHUJFzOw+v+g8Vh4R+j/tHmHvxo10esO7KOATEDuHXwX0VEoXanXCvfOLffQSvbtxlFpCT9hrb7cAy/04YN8qqtlevXpYucr9are9r7TmE3efM2msu8eRsuh/TNhkhIuaJN4fFjnTubw8amok1kV2eTHJJMtH80GrWGJmsT+XX52Jw2xiSNQdWQyLJlYg8HB0uM0S8Sfms4JPtvb5T2xVP8z2GWthMklqW5Qmxh1DIXpfYRG8PeJMeu0uIK6UuOqYFNRZvIq8sj3DecjKgMsiqzqDRVkhScxPCE4XQL74ba0eyOyd4t23bZpF10C6HhG0eZ//V8PV9Hebn0tWPGeNvr1sJvhmjJZfLR+nBJ70va5G14bOfBcYPpb1DLvWmpklheT0ypqUjOgcsuY/HYae5r6vZt6UPkHgaJg9EYxJflGy9jSHOJe67ObYu5nGJbagMkX7F2uwi/oZJcTk9+h6VSfkfjR17MBTy15S0Anp/yfEsMP0gu8+d7PyfCL4JnJj3Tto89kY/V5ZK+sXiBW0/BR+bXIsdA6ABe3vwKeyr2MCZpDNf0v6bNVx9Z+QglDSXM7DGzpShKU5OMA9avl7bM4RBbvF8/scUxGClvLKe2uRabw0aEXwS1zbUABBmCiAmIIUATxiefiE3vckkMZHS097qC9CPRiY28vv0lCuoLOCv9LCL8vEGcG4s2kluby4W9LmRc8riWey41JJWYgBjUKjU15hpya3Px0/kxOml0SxvW2CjHsH27jGU889xpaZJ73KMH0mdXbZTrYzNKH6TSyDX1iRZfQUirCe/Oajj8hr59Tzz55s1yro+Oixg82Ouzt1jkfGzcKL4jq1Weue7dJfegda51p/etqRBy3b7YgDTJOTt6bhegajMUfSNtSUAXEXfpYL09e+Cbb+S+CwyU/T/3XMhp2MWrW15Fp9a1K/Ly8a6PWV2wuq3P7gS4XOLv3bVLzptaLefi6JjyyZOPuxnvxormi59A4yP5KFp/GdNZqqT90PhA6tWU4i++WHM1AfoA4gPjKTQWYrKZiPKPoktYF8J8wzhcc5g9FXsobyxHr9ETGxjL4ZrD+On8SAtNIyMqg+gAmYy1WGSOcscOGaM2N0sbmpQkPvaGqKV8se8Lov2jeXLiky1ti8vl4vHVj1NkLGrz/GOpkVimqo1um9bXmxsRMQLUWpxOmSdet078E7W1YqN44vNnzJC4zBZ+4b1uc9jYXb6bTUWbqDHXkBScRGJwIjtLd2Kymegd1ZvhCcOJC4xzP9eb5Ho4TO4caZ305RpfCO7NXuOFrF4ttlxKisR7tI6f8Qi/HXZ1HGfndDn5dPenWByWdhoRJ8RuknvCM7532tzxE8HeYr2Va6Qf0vpLnqPGV54xe4PYs9oAEXVXa2loED/37t1yHerrZXwXFSXxOued5z6g+n1yXc2lbiF8lYzL/BOlDwsb5I47KJA4EG2gO0dV5c6N1UpsR3Bv2WfjQbH3bA3SN6q1sr+GSPFPmEvED9NcIfePPtSdp24VITptAKRe3ZLTZDRK7FZNjRwDeP0JiV2MfHNA/BMX9LqgzdxuZlkm20q2Ee4bzoTUCby59U3y6vIYlzyOIENQy/XaWLSRRmsjNwy8oV1O/zH7WLtJND2MB+Va+ca586M14pdVa0UMK2Zi+211tD2nzavbYiqU99TuIH2XU/Jsky7Bpotj61Zp2/PyvLE9ntizoCC49dbOxR41NsqcbmWlbCM+3ivU7bGxdDpo8t/bMsY6WkPDo40yPGE4iYYMKivFP+jnJ7apx0fowde341zgY+J0iP3UmCf3uMMiNpg+VGyw4F7ue/H4NDWJn6ikRPYnNdW7f57TolKJTd1pmgqhurWdYJVnQa2Vez1yFCv3jmbLFhnzDRsmv9u64I7TCRERLlz+5ewu301ubS4mm4muYV0pbijG5rARExBD3+i+LXlVNTXemEKP7wxkXB0SIvmqJ3WOO4OpWNp9o/tYXS73/WmXaxE6QAptteZYz47LKQKJdbvkuqrU7vlutx/IEC75kSEZ8t3qLTLWai73+mzdMaVEjJK8POMBGVM05YtvyWlx++wjpI1JvKCtBkUHGI1GgoODqa+vJ+gEzvFTIvzmwW63s2fPHgAyMjLQ/Yyopm7dupGWlsbixYvbvF9aWkpcXBxPP/00DzzwQLvvPfbYYzz++OPt3r/50hH4+6hpsumwOjQt11ClAqcLqkx+2DQ2cqJzyIvKw8/qR2J1InmReTjUDrqUdSGlMgWN6xjezKOI8DMxIKaSUF8LebVBVJvFkIv2NwMuVCqoaPKjyBhAlL8Jf50ds11Ds12Ly6XC6d4/tQpqm/VYHdpj/1grtm+/l5KSkYCKQYOeIywsC72+AZXKgdOpx2oNQKu1oNM14cJFo08jJoMJvU2PVWfF1+JLYHNgi5Pl5/D9ggUtyzM85RgBjcrJnEF7GZdSjN2pYt2ROMoa/bE51ExMLaRreD37K0PZWBTLlX0PoAKeXDOEw7XB+Ovs9ImuYlxyMWG+zWwsiuWZH+aQlXUtzc2RxMRsJD5+Db6+lajVVpxOA83Nofj6VuHrW0lW1mzKyobicPgSFpZFQEARGo0FqzWQhoZkunb9gtjYTdT51lESVoJJbyKyIZLKwEr8rH7E18QTbA7u4Gh/O2b2yGF6tzwi/ZspbfCjtNEfp0tFRlQ1PloHX2els7Mskr8O3kNcYBNrCuLZXR6B0aJHo3Jxz8gd6DRO3tnem+e/f4i8vOnY7QGkpX1LZGQmBkMdKpUdh8MXszmMkJBDaDQWDhy4muLisTgcvvj4VOLvX4pK5aC5OZzGxngmTvwrhoBiisOKyY/KByCsMYyS0BIiGyJJqUghrCns+Af3K1PjX0N+VD6VgZXE1cZR61+LU+0kpSKFhJoEtE4tDpWDvKg8cmJy0Dq0pFakUhhRiElvIrUilS7lXQhAxd+GZzIioYyC+kC+PZBOSYM/EX5mekXWMKN7HgAzPrye1Rv/idGYRlBQHt27f0JgYBFardkdtOCHxRJCaPhetnbZSkVwBSFNIfhaxGKxa+xUBVXha/Vl1IFR+Nil/ZiUeoRLMg4RE2Bqc3y5tUH8L7Mn7/gVUBZaRmJVIv0L+rd87sLFDwN+wKl2MvjwYLJjszH6Gele3J1uZd1a1ms0NLIyYyUA4/eOJ9ASiE7t4PI+Bzm7az5+OkfLug0WHYsOpfDlvq7YnN528VjPP4BW7eCqvgeYkl5IgN7W5jOHE7YUx3DvznTW91iPyqliyp4pGOwSAODEyfI+y2nWN9M/rz/p9bH8dfBeRiaW4HSp2VocRUWTHy7grPQjhPpaWJyTxKMHY9jSdQt6m57kKu9ozaQ3URxeTJApiDEHxpAc2MTNQ3bTM6KG0kZ/MssiqW82EKC3cl4Pua4PLxvNS/Pm0tSUgF5fx7Bh/yIw8AgajVX20anGZgtEp2uivj6dAweupLq6F2q1nYiI3fj4iCOyuTmcurouTJlyPcXFY8jJuYCGhhR8fcuJiNiNwVCPy6XGbI7Aag1i6MgH2dR1EzWBNYQ2huJnkQCQZn0z1YHVBDcFMyJ7BM36Ztb0XANAYlViSztu09ooDivGv9mfsfvHctvALKakHaHG7MOb2/pypD6QxKAGuoXXcXHvbNQqF29v78PinJROXdcIPxN/HbyXQbHlgIqC+kCMFj3hvs0kBjdisauZs2AStc0+ndpefv40cnNn0NSUQEDAESIi9qDXG3E6tZjNETgcBu658DauH7iPIIOV17f0JasyHK3aSWqokdSQeiL8mtlVHsF/613sSd6Dr8WXYYeGea+/wcSWrltQO9VM3DuRiuAKdifvxq9Z+n4PDb4NlISVENoYyrhDI3h47Fb6x1RyoCqUj3f1pLTRjz5R1fSIqOXcbvkA/OOnURyokjave3gt94zcTnSAuWWb64/E8ta2PtRb5N6ODWjkugFZDIkvR92q6y1t8OPzvd1YmS/7YzJFcvDgFZSUjMLp9EYuq9UWunT5mu7dP295r6amJzt33onJ5HXax8RspH//V9jdbQ0lYSXE1cQxKM+bKGJT21jcfzGoYMTBERxe/jIVFYMAF0OHPkVIyEH0+iZUKidOpxarNRCNphmdzntsvxXV1b3JybkAkymK4OA84uLWotWKfSUvFVqtiZCQ3Dbf89x3R99zAOd0zePi3ocI87Vgc6iobfZBo3IS7if/v7qlP6UN/swZtIf0sHoOVYeQWRZJo1VHkMHKRb1zAHhs1VB2lEa3235HWCyBHDhwDcXFY3A4fNFqTfj4VAFgNkfidGq546pJ3DNyBwlBTSzOSWJ1fjyNVj29ImsYlVRC3+hqioz+vL+zN7cN3UWYr4VPd3cnsywSh0tFt/BazumaT1JwI5uLovnrvlgyUzMxWA0MPTy0ZV/MejPb0rehdqqZsHcC1YHVZKZm4mvxJanKG3XQ6NtIcVgxIU0hjD4wmrKQMralbcNgNxDSFILKpcKlctHg24DJYKJXYS+SS3qSmzuTpia5H+Pi1qHTNaJSOVuul8ulJiQkB7Xa3qlzdzD2INlx2RhsBuJr4tE4NZSFlNHg20B0XTQD8wYyNbmU6wfsw09n49Ut/dlXEYZeI+1EWmg9kX5mdpZFsixXji/Ex8KtQ3YxLKG85XfqmvV8srsHSw9L/+Hpx87qcgQ/nXdf7U4Vm4tieG9nL6pMftTVpbF//7VUV/fG5Wo7DtJoTIwZcw+BgUUAVFb2Y//+q6mv9wrnqdUWUlMXktT/TVb2WQ7A+H3jCWz2RvhuSd9CeUg5yZXJ9D3Sl9MVrdrB1f0OkBTcQGWTLxuLYjHbNCQENRJosBFssGB1aPjxUDID4yqJ8DNT0eRHYX0ANqea+MAm1CoZOzVZtWzv5POloKCgANAlrI5Hxm0mxEfs9QaLjnd29GZVvtfe06icXN7nILN65qBxByM02zV8ldWFL/d1xYUKq9WfAweupqRkNDbb0dkWTnr2/Ah//1Kysq7FZIolImIn8fFr8fWtQq224nD4YDaHExycR0hIzm909H8cCgqmcOjQJZjNUURHbyE6eisGQw1qtQObzR+TKYb4+FX4+VX+3rv6mxHhZ+a6AfsYGl+OChe5tcHUWwyE+TbTJawem0PN7T+Oo6QhgF6R1czun0X3iLo222i2a1hTEM/rW/riQoXFEsjBg1dSVDQOh8MrgKhS2UhOXkKfPv9tea+pKZodO+6hrs4rzhcdvYX+/V9Co7Gxb991lJaOwmoNIDIyk+DgXHS6Jux2X0ymaAIDC+ja9euW7x5v/Hc6c07XPG4YuA+1ysXjq4axrzIMH62DPlHVDIgVu2V/ZRjz9nU78cYUThu6htXy9KQNGLRO5u7pxtf7u2BzqBkcV058UBOJQQ1YHBr+u72zEWlnLscbY3dmPbvdwIEDV1JSMgaLJYzAwHyCgvLRas3YbP4YjSmkpi7Eag0kN/c8bLYgkpN/cPuxa1GrHdjtPpjNkYSH76GkZCy5uedhsQQTH7+WiIhMDIZ6wInNFoDJFEtq6kKam0M5cOAqKioG4nQaCAzMx9e3ElBhMkVhNkdwzjmXtj+QU0hnzt2paDuLi8eQnX0pjY2JBAUdJjp6Gz4+NYALqzWYhoZE+vV7Ha3WTGNjLAcOXE15+RCczrYCFFFRWxk27AkAGhtjOXjwCsrKRuB0ese7arWV9PRv6NHjM6zWAPbvv4aSklHY7e3FdNPSvkWjsXD48Pk4nQa6d/+UhIQV6HRNqFR2XC4NdrsfKpUDH5+6n3XspxuHD59HQcFZNDUlYDDUEBp6sKXvbGxMIDx8D336/JeqgCpyo3OpDqwmsSqROv86mZ+oTCW5Mhm943cSB1H4w9E3uorrB+wjNdRIVmUo+yrCabTqiA4wcU7XAgBuWTCVBWvvo6RkNGq1nfT0bwgNzUanawBc2O0BmEyRJCSsbuOzO177pMLFRb0PMb1bXss4zIPRouPrrC48W+/kYNxBgkxBjNvvFRtw4mRJvyXYtXYG5g4koqw3e/bMoaJiIKAmOnoLgYGFaDTN2O2+NDXFERm5g9jkZWTHZpMblYvBbqBraVeKwouoDaglui6ajMIM9KZQdu26ndLSEWg0Nnr0+JiQkGz0evFRSn8STljY/k77uyuCKtiVvItmXTOJ1YkENAeQE5ODXWOnS1kXupV2Q+3qfCZUrX8th2IOURlUSVJVEma9uWU5vTwdP+sxRMyPQY1/DUcijlDvV09sXSyVgZXo7XqSqpKIMkb9ojgABQWFznFx72ymd8vDT2dnW0kUhfWBWB1qhiWU0y28jiP1Ady0eDQbum/A6Gck3BiOziH2lSdWINAcyKiDo9A5dJSVDePgwcswGtMAJ35+Feh0DW5bN4ouXeYTHb2ZvXvnUF+fRkBAMfHxa/DzK0ejsWC3+2I2RxEWtpeIiH2/78npJDaNDafKndzoVKNrZX+mhdaTEmJEr3GQXxeEyabFoHHgr7cDLtQqOFQdTN/oaq4bsI8QHws/5SaxvzKMBqsOX62D+0ZvB+CFDQNYXZDA+JQiLu9zsF0sBkCx0Z/HVg2jvMmf83sc5rzuhwn3s7Rb71B1MPcvG8WwhDIuy8gmMbiRvNogcmuDaLZr6RlZQ1qokcomH67/fkqb7/7SMVZH63Rme8diT+Ie8qPyCW0MJbzBKzZSFVRFnX8d6WXpTKpP5ulJ6wn3s/D9wVS+PZBGXbOBYfHldAuvpX+MzHvetWQsTpe37/mlx9rYGMfu3bdSU9MLH58qEhOXExBQhFbbjMNhwGwOx9e3iri4DZ06VrM5DIslFIfDB622Ca3W7I4PdQIqZO65kf37r6GoaAIAXbp8TVjYAXQ6o9ue8MNsjiImZrN73rrtMZzoeE/l9f+zcCYdq4LCsajzq2Nfwj5qAmuIr47H3+JPTkwOPjYfehb3JK42jnO75nHjoL24XPDkmqHsKI0i0GClR0QtPSJqCfVp5lBNCIsOpVAcWsyB+ANYtVa6lHXB6GekNLSUqPooehb1JKg5iHtGbmd0Uglljf68tHEARcYAogNMRPmbGBRbgb/expf7urKeJnak7UBv1xPSFILGqcGpclLnX0ezrpl+Bf1Iqu6kwoWCgsIZj1lnpiqoCqvGSkBzAEY/I4HmQCIaItA6O5c74aEsuIy9iXsx682kVKags+s4HHMYjVNDr6JeJFYnnlF+kZKQEranb0fr0DJ119SWHBgXLpb2XYpVZ6V/Xn8SaxJPsKXfnwafBsqDy3HhIsASQK1/LSFNIUQaI9uMF09HNConL5+9mqTgRvZWhPHChoFUm33pFl5LTEATfaKqMWgdzNvbjVk9cxifUkxFky8LslMpNgagVTvpG13FzJ4SD3v3klH8dfBe4oMaWVsQz4q8BMx2LT0jagn3MxMX2ES1yYf3dma02Y9j2di1frWs67EOtUtNRmEGKvf4za6xsy9hH2qXmgn7JkBdEnv23ExVVV80GitxcesICCh2+2x9MJliCAvLwm73Jzv7Upqbw4mLW0N09BZ8fGpQq23uHJUIQkMPtMRPKrTHqrFi0Vk84bX4Wn1Puj081ZyVns/U9CP46+18ndWFSpMv/jobsYFNxAc2otc4WXI4md3lESfe2FEcb+y8setGqoKqiKuJI9LoFQEqDC+kJrCGtPI0eh7pS1bWbAoLJ+J0GkhIWO4eszcAKqzWIMzmSKKjN7Nr1x0YjWkEB+eQnj7ffQ+bcbnU2GxB2O0GoqIyf+5p+kXHeiqRAhrB2Gz+OJ06NBorarUnd8d9Y+HE17fmZ23/l/qn8vLOpa6uKzabP/Hxq/HxqUGlcrjjytW4XCoCAopw+lWRlZDVkvOTUplCblQujT6NJFUn0aOoBwaHodO/q6BwqnDhIjcqlwPxB1C5VKSVp+HQOMiLzEPr1NK7sDeJNYkYNHauG5DF2ORi9BoneyvCqDL5ola5GJtcgk7j5P2dvXhn7Syysq7DaEwmODiXuLh17txYG3a7HyZTNNHRWwkJyaG+PoX9+6+lqqpPuxwFna6RMWPuwt+/nJKSERw6dIl7ToGj1jMydapsIzv7UurquqHRWAgP34PBUOfOZYvEYgmha9evyMy8A6dTT0LCcnr1+hCDoa5lWw6HFofDF72+4dc+7Qq/AmadmarAKhxqB75WXxp9GwluCia0KbTT+fMd8Ut9u2qVC3+dFYPWgVoFdqe6jQ4AuKgxty+K/FtREF7AvsR9uFQuUipS0Dl15EblYtfY6VralW6l3To97pyUeoRBcRVo1U6W5yZhtOgI8bEQ7tdMiI8FjcrF8rxE/tItj4GxFZhsOj7f25Uasw/RAWbCfc2kh9WjUzt5f2dvyptOLq5A4edh1pmpDqwGF+gcOpr1zYQ0hRBkDjqjfA4Kvz2n0tZ14cKm8eb36xw65f49DTH6GFnXYx0ulYuYOm+xNqvWSlVQFWENYYzIHoEab4za8fRdbh+2i7HJxZQ2+DNvX1eZA/I3kxZazyUZhwD4+5Ix5NSE/PoHdxTjUwo5v0cuoT4W5u3rSmF9IAatg4SgRslB1VtZlR9PbKCJS3pn43Cp+DCzJ4dqQgjU24gPauTa/vvx0Tr4X2ZPvtnf5cQ/iuSp799/DXV1XfHxqSY6egu+vlWoVHas1iAaGpLo3ft9ylM2sC9pHz5WH8IbwtE4NaLvEFCNxqlh+KHhv7sGzemIzeZPfX0qVmswarUVPz/RABLfBIAatdqOj18pe5L2cCTyCL4WX+JrRSC7OLQYs8FMUmUSfY70aXOvd5bjtZ2XZRzkvB6HsTo0fHsgnfy6IFwuiA9qZM4gia2676dR7K8K69T2/ug4HDo2bfoXNTU90ekaGTDgRYKC8t3x/S4cDj0WSzC+vlVotd6YqZONiznRen9WbDYbixcvPvXCb3l5eaxcuZLRo0fTrVvb5LaFCxdy/fXXU1UlAVyhoaG88cYbXHzxxSe18926dSM9PZ0ff/yxzfse4bdnnnmG+++/v933LBYLFov3ZjEajSQmJnbqJHioaKpgTcEaXC4XGrWGqelT21TrPp3JzoYFC+SvSiVqxx5FSJdLVGsnTHArQv/W7HsGdv9Tls/ZK8qqpmLYcRfUbBWVw4gRMOoLyP9EqujqQ0UhVqP3KpE7bZAwk4tnJ/KliKQybx5cdFF70WqbTarvbdwo/69Zc1RF7D8KOe/A1jmyPOJTSLlcqj7YG2D5BKjfA11vgdLFUjEkfDhMdR904XxRbLZUAS7sKTcz7IIZ7Ngh6ppLlsCoUW0rtFitcu6mTRPVY61WqgZefHHbc1xTI6qonap+cRrgcrlwuQ2CdhVP3BgtRpbkLMHhcqBCxfiU8S3q0zTmw5LBUt0p/QYY+LJUHir5USoTAdhNlBou5x8P+PDTT3Lubr1VVJcDA+U5NBqlCu2cOVI5c+rHU1lfuJ53/vIOA2IGMPZ/YwkyBLFu9jrSw9wl8nLehq1/9e6oIRJwua8rkHwZT9l789DKh+gX3Y/Mv2a2rLqvYh8Zb8oEbsGdBTy15in+u+O/zOg+g+8u/a5lvc/2fMYV31xBiE8INf+oEfXsdRdB4VfHPqlTt0L4YO//x1ME3ng15H8s6qhpN4iCuiECDv4fFHwqitAzSxn030HsKN2BTq1rUx3A6rAS4RdB0V1FGDLvhkOvS2XR6YdE2bk+C47Mg8PvSXWH9Btg6Dvc+P2NvLvzXbqHd+e+UfdRUF/A46sfR6/Rs/XGrfSN6gMLUkUNOnIMTFwh6q2F34gC68GXZAfGfEuh6zzWrBEldasVEhK81ZQ8lQgHD5Z2xmiUyikbNohC9dEsWQJnny3fO+cc+O67oyodt6LB0sCkjyaxrWQbH838iGBDMDPnzaRHRA9WX7u6pbLjuzve5cYFNxLhF8HcC+ZS0lDC7O9mo1Pr2HTDJlGDLvwGDr0hbUXcOaI4rA2S+8neINV5etzbtsr4MSsC2WHJEKjLlMpc4xd7q0SWLoVVZ8nyjALv+8fZ3rx5UpUU4PLLpd05bjECe5NU1XGYpW/AreKr9QefWKxA+ivpFBk7DhCYM3AOb//lbQAmfzSZ5XnLGRg7kMszLudw7WHe3PYmPlofMm/KlIprWc9CwVxRyE65AgLSRZXXaRclcZcdut0uG69YAysnu/frKPxT4Zx9sp3FA9zVSDpAHwYXVFNYKGrLpaUdrzZ8uLef+/RTuPpqUWI+mhtvhCE3vcOchXOIC4zjwK0HWj5blruMWV/MwlfrS+19tRQfMbB4sSgzOxxSYaZ1dSabTaoGtKniebpzLAXn3P/B5tmynPEY9LxX2naALwPkPuv/H8h6Rtr/uOkwzj3IyHkHypdL2wMwblF75egOcDikasHWrfLcv/kmXHONt8qSwyHVlUZ12wDrLpCKJz3/AclXSAXYhmypPtZcLu2owwxbrheV+gEvQOxZcm82Fch91lwGQb1whA8j480MDlQd6HC/bh58M2+c+wYAf5n7FxZmL6RfdD9m959NXl0eL29+GYPGwI6bdtArUsqHvrXtLW5edDOjEkex7OplXPvttczbN4+7R9zNf6b+pzNX5mcxd89crvv+OvpF9yMjKoP3dr7H3SPu5rkpz7Xt46217naiWVTNQSoRaP2kOqHGIOftx75ii3bE4NfFzjq6T9SHSbvpec5HfMLm8iuYMEGU4w0GuOUW6RMCAsQ+/+oreP556Ss++wyuvPLYxSLq6mDaVyPYVCTtd2KQN8huyeElWB1W1s5ey+ik0T/7PCooKCj8aancAKumSj9+NAP/D7q7qykdb7zT9VYsfV5j0CCpCAlS/eeKK6SKYkUFrFghtv5nn0lVQ5AKnWknUTTnTKaqSs6fyyXntPgYZvEZhdMBPw2Hmm1S1XPCcvCLE3ulaqN3jHX2HqkCtWyM18aJGCH2Tc0OaHSLDF5soa5Bz/Dh3nv0aFJSpBoPSJWZKVNkPHs0F14ofo0PPpD/P/xQxh4npLNVsk43HFapWFW/T2xK33hvdV5cMv6LmgABKb/3niqcLDajuwJmqbvKl67VdXVCSB95/hSOz4mqeJ5gvcsvh7lzZfn992H27PZfNZlkfqOoSNqf3bulzTqavXu91WMHDZJqzh1RWSlVdEtKpP9ZskT+b011tVSa/FXp7Ln7BWRmSjVnl0v8Rhs2HNvHduCA+Cjq6uT/4GCpKt7YKNvx95c++9AhWa+62vtdf38Z/zqdMHIkrFwJAwZIpTeAa6+VviI+Xqr5rVsnPtUHHhA/anm52FTNzfK+wyGVxnx95Vr/6tfiN+Cll+Dvf5flW26BV1/1Vj/2YLO1rbxdY67BYpd5zgi/iDYVghUUToilBr5Pdvuwr4YRH8r7B1+R+Y5CmVjdn7KXEWf3pr5eKiIvWSKVjVvjdLa/X49r2+24S+Z7wF1Fd5bYTwVzpcJm5Fh29H6JQf8dhAoV7814D4NWEnKO1B/hgeUPoFVrqbq3ir9MDWbtWtnUxo3Slh2PrMos3tj6BmqVmmZ7MzO6z2B6NykZbDTCJZfIMYaEwMsvi789PFyOr7FRxiIZGeLD6yz1zfXc+9O9bC/dTpR/FCabiRemvsDguMEn/vIxKKwvpN4i842xAbEtcz8KCgp/MPI/hY1XyvLYBRA/HWyNsPdfUo23ZisEdofpByhrLGPEeyMoMhax+IrF6DV6Jn88mWj/aDZev5H4oHiWLJG4DRB77JNP2vqe6uul4vjEiWLrgthvfwZb6hfzVYjEccSdC+MWynv5n0LZcukrAbrfIdWsN1wm/0eOhe53gn+K+Gc8cTpTt0DZMm/MU/xfIO06qapcOB/2/1ven7gCVk4BlwP6PA4Zj0ifWfi1vI58Dj7RMLOs7b7+wjHWqcZkMzHg7QFkV2dzce+LOafLOXx38DvmH5hPn6g+bL1xKwaNHkoWQsVasFRKvIA+ROJBXC45BwGpMm/5c47hGOuddRYsXSrLK1fC+PG/+HBPSHExDB0qz1hqqtgVXbu2Xcdmk7n0NvbTyVaPP02u/2nBmXSsCgon4PuD37O/cj8qlYow3zCu6ntVy1gKkH7MeFDiQsDr73S5i/FFjgNfGfBZ7BY+3/s5RosRFy76RPVhQuqEtj9oa5Q4Jku1VCt32qVt1xhAGwCh/QF4b8d73LDgBoYnDGfJlUuYNW8Wy/OW8+LUF7lrxF2//olRUFBQOAZN1iaeXvs0h2sPo9foCfEJ4eGxDxPpH3niL//JsDqsxL0QR7W5moyoDPx0EhNpsVvYVb6LQH0gZfeUtbyv8CvidEDDAWgqlLlntdY9P4mMnfThYAiDJYOkD+/7NPR+QD4/+LJ8x0Ov+0HjTtywmyVuwGmV76m0oPWVPvvoPInj2NjXfXcdH2R+QIhPCGelyxhu/oH5WB1WHhv3GI+Of5Thw2HzZlk/M1P8ykfjckFiooyhdDrIz5dYEIU/KU6H/FX/DGGY4yYHuHG5OFB1gL5v9sXmtDEhZQLxQfHsq9jHzrKdxAbEcvC2gyz8JpDLL5evXHutN6blaJYsgcsukznLc86BJ5+UuWg/P5kPqa2VedCj0iNPLX/U+Jmfwyk81tX5q/l498f4aH2w2C1cN+A6RiSO6Pi3jsWf/Xwr/C4crDrIbT/ehtVhxWwzEx8Uz2tnv0Z8kIgUsGUOHH4HdEGSdxfUTXISjQdgw6Vgq8fV5ykChv0Tk0n6TqPx2PmZ27ZJfqzJJH7Ia6+VHAU/P4n7mDdP4lg3bYKbbpLvxMfDvfdKbIxaLfE1c+fCs8+KX9VqlfiQn36SWJHWeOaK9+6VeJ2SEonnCAvz+kCdToiMFJ+tgsKZRHZ1NlfNv4rShlJCfEIw2818eP6HjEwc+ev/uMMi+UsuG+D22WmO0XAoKCj8uTiTxhMKLczfP58LvriA2MBYVly9gi3FW7j626tJCk5i243b2vs8j3Wf2Bph2Wio2yX5D4Nfh6DuULdb5oMcJmiugKSLQRf42xzcsfDoyHjyddU66e8Adt4jeg/6CBj6NoQNkbxqU5HkB5iLIfbsTuV3lJVJbrzJBElJsH+/2NbH4q1tb3HLolsYmzyWZyc/y9mfno1Ba2DZVcvoHdX7lx+3Av/Z8B/uW3Yf07tNR4WKBdkLeH7K8/x9xN9//kaP+UwY4ds4yTlMuRJGfCzv58+FhlaJV2nXi37Jibb3J+G77+D77yE3V2JiunWTHHmNRsZ/NpvkVLbRTDneOVF8Ni0YjUaCg4NPvfDbP//5T5599llyc3NJTk5ueT8nJ4e+ffvS3NxMcnIyfn5+HDhwALVazZYtWxgwYECnd37EiBE4HA62bNnS5v19+/aRkZHB22+/zZw5c064nZM5CQq/MkXfwtpZgAuGvAXpc6QDtnoqhbgD/3xjO7U5lwuWLZOk1P37pcEICREBFZUKLBaYOVME4RoapGGprpZkpD8cKyZB+QoJGj3fnQld+I04Aj2kXw/Rk2HbX6ExT0SJoieLIAyIQFhjDvS6Hzv+rFsnE2+HDklD6+MjjkKnU87fpEkwXXIiGDZMnH8KyHksXiQGbnOFO3BVA6jEaRLcB7p6BdoaG0WsyWyWBDaNRu7ByEhvsHVdcx3j/jeOrMosQnxCsDvtrLl2DX2i3RmLdjPMj5LgY0MkDP8I4tzR3cvGQuVaSL6MJVHXMO3TaejUOl4/5/WWfdhZtpM3t71JpF8kFfdW8P7O97n+++sJ8QlhZo+ZLetllmWys2wnU9OnsuTKJVCyGFafLR/6REPGoyIqWLEKdroNpc4KvzXkwKLu8sx3vxMGvuT9bO8TsOeRFuG3D3Z+wHXfX4deo+fRcY+iQsVrW1+jpKGEB0Y/wNOTnoZN10HeB6Dxg/OOgCEcTCVQ06rP8E+B0P40Whvp+2Zf8uryWHrlUl7c9CKLcxbzzKRnuH/0/bJP3yVIwm/0RJjwk0x41+4GU6F3e2GDWwLhjsfixSLoBtIGffNNx+t98AFcd50s//WvIvx0PGrMNYz/33gOVB1Ap9ERFxjHmmvXEBvYts284psr+GzPZ9w78l42F29mTcEa3jjnDW4ecnP7jTptYDdJorNKLUJI2pNoJKu3wdIhstxaQOPH/vKMeOik8Nt778ENN8hyZ85JZ3h186vcsfgOekT0YPnVy8mvy2f0+6PRqDVk35ZNamgqAPl1+fR5sw82h409N+/h1h9u5afcn3h28rP8Y9Q/2m7U5RKhN7s7YEKlBV0A6IK9wRI/9IH6vcfesVmVsPsRyHEfZPREER3zjYOspyH3/Rbht/PPF4MZZNLlP/8Rwc7KSvj6a1i+XERfy8tlErq+vuOfvPpqeOSlw3R59diK5ZNSJ7Hs6mUnOq1/Lhb1BmMWhPSHs3fKe/mfQd5HUL5MbJP+L0LeeyIOEDZIkjZ0QWAuB7tbFcPlAr8Er2jccVi4EDyi1BdcIGJgx8Rplwk+436xmexN0m5pfEAXIgIfgeniwDful4BeW73cn7hEAM4QLokqvtHM3TOXy7+5nLTQNA7ceoCcmhwy3sxAp9Zx+I7DLZONJQ0l9H6jN43WRnbetJN7lt7DksNLvG1nKx5e8TBPrn2SbuHdyK7O5sq+V/LR+R+1Ee/8NdhZupOtJVsBSAhK4JyuJxbd65DM+2H/s8f+POMROX8rJ8v/YYNh6LsQ2k+Cqr52q7aP+IRJ11/BihXy76JFEiByNC6XJLZ37So2Koj9OmmS2GTr14sdW1cHHx98jdt/vL3D3UoOTibvb3m/+nlWUFBQ+EOyZKgk0XZEYDeYfhBKl8CqacfeRtx03ti3gFtvlX9vvBH++9+OVy0rgxdfFEGCggLo21dEon19ZSKgoUECbaZO/UVH9afku+8kmDIzU8R6zjkHYmMlSKiuTgTJbrtNhIjPCIwHYZFbcKrPE5DxkCyvPleE3zxM2QDb/wZlS0VMY8IyiHJXOsj9EDZfK8sXW7jldn3L2Co9XURop06V87tgAXz8sdgfDoeIBO3e3fGuTZ0q1+EN0Qnm9ddFwEZBQeEM5RcmpcfFeQXua2ogNLTjr9fWwpdfwo4dIk4fHS2+VY8f22KBe+6B7dtFYGvPHhEgmzxZ1lWrZRuHD4tP5Wa3e+x4/fqvzm+QvF5TA6NHy7xJRAR8/rkUBGotQFBcLOdoxgzw1F+66SZ44QXvHEpdnfjr7r5bxqye8e7kyWL79OkDTU0yybtokQgz3e4ewt58s7fPOJOZMkXmsUCE70aN+n33R+EMwNYAC7tKwYi46TBmviQRNhyWYBUPQT0or/Zl4UKx/woKpL04OkjjlVfkvRaONQdkLpd5FpcdYqbAuB/kdwE2XiUFvyLH4pq0ioSXEihpKOlw98clj2PVtavaCIR+9BFcdVX7dV2uzsWFeKiqkqSH/HyZuzOb5X0/P5mzmzbt+MFbCgoKCp2mtfDbmO8gYYbMyVas9a6j9YeIYYAkh4x6fxQOpwONWoPT5WTd7HX0jOwJSCLXmjXytc2bRXyqI775Rsbp5eViu11zjQhU+fmJbyo/X+y3gQN/peM+HSn9CTLvlTnbhPOlCJw+VObZLFXQeBgGvwE/ZMhcYXAGTNshgcNOG9RmwlL3CZ+4GtadL/NCMWfBhMXe3znyBay/RJYHvgw73HPmk9aIv8bpgJ13e9fXBUHff7Xd19NQ+Gtz0WZGvT+KcL9wVl6zkjEfjKHR2siWG7bQL6aDDP/O8guPNTtbiiyuXy+Ji7Nnyxx5QID078XFIjRwwQU/fxc7wmiUJPHduyXI1c9P/L9qtdhOTqf4OUNCOjiGDo6jDafh9f/dOZOOVUHhD8x/NvyHe3+6l2j/aMqbynlozEM8MfGJ33u3FBQUFBRacfsPt/Pa1tfQa/QkB0vOT6GxkGZ7M7P7z+b9897/nfdQoQ3lqyD3A6jdLnH7vvES/+myS6xycG8RfusMnXWeulxUNFXQ/bXuGC1Gtt24jSJjETM+n0FqSCpZt2bho/XhX/+CRx+Vr9x9txT5aS0639Ag8TEA77wj+T15eRIjGRTknduzWiUGZNiwTp8VhTOc+366j+c2PMeFvS7k8ws+p+9bfcmqzOKTmZ9wRd8rcDjg4Yel2FhVlYi7jRwp96fLJbH2hYUicmSxwM6dMldQXi7znFarxO8GBUGvXt78KQUFBYVfzKJektsROhCmbZf3Sn6Egs+96yRdxGerp3PXXZJbMG2atGNJSeJ7rK+X/nTUKImNWbJEvvbVV+39ny6X+DC7dZNt+fpKnE1HIqyvveaN7bj3XnjuuVN/+AoKCgoKCgqnAEUwRwF4bNVjPL76caZ3m86W4i00WhtZf916+sf0b7/y8eannQ7JsarbJboJdrM7F14lwmqB3SC1gyC90w1LFdTukngPe6MIv6GWOBxDJCTO8grFHYeGBokrz82VOf7168UvcDSti+e+v/N9Xtj4AmqVGl+tLx/P/JjuEd1P5dGd8azOX83+qv0A9IzoybiUcb9sg8d7Jur2wqE35LlQ6yAgXXL2PeKDumAY/KrSFneEck5Oml9N+G3s2LE0NjayY8eONu/ffvvtvP7669x66628+uqrAHzzzTdceOGFzJ49m/fee6/TOz9nzhzmzp1LbW0tWq225f3PP/+cyy67jPXr1zNy5IlVsBXht9OM0qWQ/zFUrBEhFb9EmZCyG0WgpO8TkHhqo++++07UI5uapBLBHXdAz56SvFRdLclgw4dLB33asudRqQCtUksl4bBBx1+/qRDq94C1DuwNblGiYBGkCR/avopTBxiN0KOHJOCFhMCuXeI8VPh1qG+u50j9EQAi/CLainkVfQdrz5flwW+2EZZj+USoWAnJl1HV/xUinz92VbppXabx4xU/klWZRe83jq0g/MjYR3h8wuOw+XoRnwK578LdAl81O2GJOyK8s8Jvh96Cbe7MyslrIXI0OKzwRSsD2i381mxvJvGlRKpMVSy/ejldwrqQ+nIqKlTk/S2PxOBEubc3XgGli8EnVpSkA1LlXm+uEHGmXvdDmOzn2oK1jP9wPAH6AIwWIyMTR7J29lrUnmehehtsuRHqMkX8Ke5sMETJZLmpCBoPwbhFxzxnrXG5xNk+b54Y9HfdBZdeKsHFKhUUFcmE9pw58tkbb4DdDrNmiaM+Kkr+LyyUoOTnn/du22K30GAVlaAAfQA+2vZVGRqtjQx8eyCHag4BcFGvi/jioi86te8nTXMlLEiTAVLyFTDyE3nfYQWc3vWOrh5xHGP5scckmay2VhIZJk2ShDO7HY4ckbbp7bdPYhftzaS+nEpZYxkrrl7Btwe+5ZUtr3Bt/2v54Ly2Zb1e3/I6t/14G0nBSRypP8LQ+KFsuG4DmpOtRla+ElZM9P4fNQGixkLJIqkMDzCzAn7sIwl4Aelw7n4ZHABkPQu77gd9GLUTq4mOliS70FAJZI+IOOoYm0W889FH4V+tcgQSEmDECJmkzskR4bcPP4SU/0uhoL6gw11/auJT/HPMP0/ueP/oLOgqwqjhQ2GquyRh9RaoaqV4GjVWAmn2PQUlP0jV+vBhIq7qtIkavMMMZ+/q+DeOYtUqSbgGEdDwTML9FjhdTvq82Yesyiw+m/UZy3KX8X7m+9w+9HZeOfuVNut+mPkh1353LXGBcZQ0lBz3mVieuxyrw4pKpWJS6iR0Gt1vdUi/DIcFvo31VsVMuhh6PyQie2tmSEJsxiPiFDr0BqCS5zXI7ZSxm+FLyQit7PYlUYMvBCAlRSZaj8UTT8Ajj8hyYiL88ANkZMj/ZWUiDDp3Lli0FcS/GI/daWf7nO30jOjJrC9msThnsVcMVUFBQUGhLVUb4afj+Is8wm+rz5V+HSRYtu9T4uDf9QA05UPcdCY8toBVq2SVrVth8OBjbbQtLpf4IOx2SQDU63/JAZ0ZWCxi69bXyySKywWBgRJ4lJraVqjmT43dLKLppkKIGg8TlnrHCa1prpQKMy67FFYY6h4kuZwiYLx5NgC2mRai4/TU1sp9uG9fexE9k0nu0+++g/PPb/tZWJiMzVwusVsXLpRxxxdfiIjSsGEwYIAEwJpMMvE1eDA8/vgpPzMKCgqnG78wKf2TT8RP4XKJP+xf/xLhVINB+tC9e6Uf6GgS/Xg0N0v7ZDSKqI9KJW1UfLwE7ffrJ/1MWhps2CDCZ61pPUF/yjiJxJpTSUODtNerV4swgcMh/iOtVpZDQkTEs0cPOe74eBEDaTUd14JHOMHlkr750KH24khOp/QjCxbI/2vXivjcmc6SJSJs63SKr/Ptt0WUwkNNjQRd9+jx++2jwp+Qur2w+yEoXy7FiyJGSZERp1XsTJcdJi7/eds+lm//4CtekZspGyFiOFjrZcyV8wZUrpPCCpNXc+P3N/LuzncJ8w1jcJwMslbnr8bisPD8lOe5Z+Q9WCwiMLlggVSvT02Vud2AAGnfDh+W5MC/tpouU1BQUDit2PcUZL8mcw2x0yColxSRstZBQ7ZUGG41559Tk0N2dTYAXcK60C28W8tnF1zgLTT2/ffewkId4XRK4urOnZLoajSK7efvL0L7Eyd2nOT1p8dmbFs4Sa2V4kp+CRI78527Om/P+6D/v2V55VQo+8m7jcFvwDa3Av7QdyDdXc1sYTdozJX4J4DzS2DlFIlXCO4D/Z+TmAVdkFx/4wH5/cijjOVjjbF+p/GEh0dWPsITa54gQB9Ao7WxwwJRvxonGHeazTLWKS8X+8BikWTGqCiZczt6vPe7oAi/dZ7f+V5XUFD4+eTU5GB32lGr1G1sGAUFBQWF04PtJdsZ/M5gDBoD5feUY9AaiHo+igZrA6uvXc3Y5LG/9y4qnAin3Vtk41fEU2R7QsoEyhrL2F+1n+8u/Y4Z3We0rLNhgxQT2rRJxLS0WhF0A4lHuPtuKTikoHAqabQ20vP1nhQZi5jdfzYfZH7QUkTmaIqKZP6goUHmirVamRNNThYRQgUFBYXflNz/SQyfSi2xqek3gsGtmmozQs12CBsCugBcLjh4UIrn1tRIO+ZwyNxoXBz07u2Nn0lOlhyFjtxpS5fCWWfJ8gUXiEBcRzQ0iEimJzbnhRfgvPOkWJbLJXlbe/cqYpgKCgoKCgoKCqcDLpeL+5bdR16dJKpe0ecKzu9xfscrd3Z+WgGAkhL4v/+T4s579ojdnZgo/q6qKomdXrKkff6NwmnOLxEl+418sQpnHiejeXZSd2BeXh7jx49v9/7ixYvR6/U8/bRXgGDWrFmMGTOGtWvXtlv/eMycOZN33nmHr7/+mksuuaTl/Q8//JC4uDiGKWVe/pjETpWXB1sj4ARtQKfEyH4O550nTqelSyXJ6euvxRHmSW5KSxNhodOaXg9CQw4cmQc/jRJRqsDukvxrKoaaLTD0XUmkAPBPlNcvICgIvvwSLr9czl+/fnDRRVL9Qa+XiZENGyRJLyXllx/imU6wTzB9fPp0/GFpq2rRyZfJX+NBEWVrPNzyUYRfRItgVUcMjpUEmp4RPQk2BFNvqe9wveEJ7vvIE8gcMcIr+vZz6WjAoNJAv39739cGAOCj9eGGATfw7/X/5p0d79A9vDtOl5NZPWeJ6BtIstK4RWCpgcq1Ip5lrQFU4BsHkaMgqGfLpsckj+Gbi7+h0FgIwPRu072ibyDidWfvFNHE2u1gqRZnutZPgq7TrjupQ/38c6mAsmiRCESsWAF1daDRSKBxjx5w003w8ssi/rNqlSTgZ2dLEpPBIIHIHmEoDwatAYP2+GrTAfoA9ty8B4vDAoC/zr/T+37S+ERKkPuWG6DgUxHDip8uonn2RglctzfBkDc6vcnHHhMxpJ07ZfKitlbOncEgggJ9jvGYHHMXtT7cPeJu7v3pXh5b/Rg7SnegUWn45+j24ma3DLmFgvoCqkxVANwz8p6TF30DKP7eu5x+Awx5W/q4kH6wbpa8X7db7lsQoQaPmIPLCXgHDd9/L6JvIBMnR4u+gSTtgrTHHsaOhfnzRajB6ZRKZQcPymcTUifwv8z/MTJxJHcOuxOz3cw1314DwMTUiZxxdLsNdtwJ1Vsh579yzcKHygskUTKwqwjBDH5N3rMZRSjM1iDvGyKlXeok48dLMvS334p9ctdd0mYkJ0sbkp8Py5fDjTee0iMFQK1S8+i4R7nkq0t4dNWjFNQX4KP14YHRD7Rb95r+11BoLKS8Ue7VW4bccsxnYlLa6W5MHYPaTK/oW9y5MGqe9zNdkFxr8PbF4UO8om9lK0TR3U2zxXtuAgOP/7PLlnmXX3nFK/oGEBMjSa0qFQSro5icNpnFOYtZlL2ILmFdWJG3AhBHnYKCgoJCBxz50rus1kP/50Vod8/DULtT3nfaoVzaU/ShcNZW8HWLbxfMFeE3RLjNg+HERV9aUKkk6Eah8xgMJ2/r/ynR+oo9svFKqFgFC7t7hckdZkkOtzdC97+LYAfI+NfD/FiwVLT8u3Klilq3qTNmTMeTTh7hng9a6WL7+8Nnn0lQdkkJ3HKLJNPqdPD00/IqLhbfUG2tfObvL6JBSrCsgoJCZ7jySmn3582T8dH550uRFpB2KS0Nnnnm5IXffHxk4v1YfPst3HmnTNCnp0vAa1KSuCvz88UfVdCxVv7P53cKnggMhOuvl9ex+Phj8RuBiJN1JPoG4mPyHMb557cXfQMRzGtt/3iu55nOWWfJPMp770kyVI8e4q8LDZWEk8ZGePBBeKC9W0ZB4ecTkgFjv5WCFU35Mo9ib5ICLT5R4J986n+zIdu7HOxuiJsKYOPl7VY9t9u5vLvzXbRqLYuvWEyNuYao/0QBMncDMj544AF5Wa3SptTViaBLYKDYnR6/uIKCgsJpSe8Hodc/RfzLdETaYpdd5q+TLvK2lW66hHWhS1jHkaLPPw8rV8r4+7rr4MknJb4lPFzaxsxMGa9Pny42Wa9eJ29H/+nRBR073sFc6l122rzLXW+D+FbZ6j6tVcRUbdez1Xn/14dLUb0j86B4AWT+A6xVUohIFwz+SdD11mMHmh79/u8cjP3IuEdICUnB4XSgVWu5pv81v+v+tMbXV4oSnHZ05toqQfbtUc6JgsIflmPZMAoKCgoKpweD4gbRJ6oPeyr2MP/AfAL1gTRYG0gPTWdM0pjfe/cUOsNvlGh4y5BbeHfnu6zMXwnAOV3PaSP6BiIQM/I4dRgVFH4NAvQBvDD1BS756hI+yPwArVrLa+e81uG6CQnyUlBQUDgtSLsW/JIg/2MpPr/nUXfOkEpyiwK7wfgfgQBUKoklOFbBuOxWU7GxsZ3TMTjeOoGBsGWL5L398IPMQ9x/vwjC6XSSyzZ2rCL8pqCgoKCgoKBwOqBSqXhuynPHW+HE7ytzsR0SFwfPuU+t3Q719fICifENDf399k3hF/BL7ndF9E3hNOCk7sKqqioSE9uKStXV1XH48GHGjBlD4FFKB/3792fbtm0ntUNnn302U6ZM4eabb8ZoNNKlSxfmzp3L4sWL+eSTT9BofoYQi8Lph+63yYQOC4NLL5XXHxKNHkZ+CgNfgpIfwVwEzZXgtIoYTcIMCOl7yn921CiperNmDezYAVlZsHmzJIBFR8M115wmVXL/7DSXyV9dEOiDZbkxF/a3N9YHxw3mSP0RUkJSGBYvUa5f7PsCFy4GxQ0CxNAfEj+EZbnLuKbfNdwy5BYOVR/iyvlXAjAsYZjcXyYRSSN0kPcHNl4F5ctP/hhipojQm8sBRz6HqDGg1kCv+zpc/eYhN/P8hueZv38+Yb5hANw+9Pb2KxrCIOG8Tu3CeT06sd4pEE30MGqUvE5EUJAk05/KKmedEYg7ZaReBVHjofg7qN4iQhtOG+gCJYEsxl0y5iQGkGo1DBokr1PBzYNv5tn1z7KmYA0Al/e5nK7h7dUITjgI7iy1u+Sv2iBV3DsSNjUe8C6HuBUuXC74vK19c6DVascLmKipgdxcWdZo4KOPpO8DOZ8PPCCJHwATUybyv8z/UdFUwUW9L2JlngRqBOoDGRw3uJMH+Sei623QXAEHX4StN8GeRyAgTa5H42ERNJxVKQJvHnRB8voFfPEFvPoqfPopvP66qMOr3beK0ymiqr+G8BvARb0u4smoJ9lTsQeAO4fdSWxgbIfrPjT2oV9nJ04XalqNUbr97djrmYrkr3+K972ib+DQ6y3/xseYSE8X22nvXvmbnt5+U2azVL0ESVA999z267Qe6lzR5woW5yzmy6wvSQ1Nxeqw0i+6H72jjqNmoKCgoHAmU7nOuzz8Q0h2OwIqVnmF34z7wdEsy2nXe0XfjmLaNFjn3tzcuYowmcJvRMQImJ4DVRugerMIRjeXilh61Dj53FziXV8f7l32TxLxODf7D3rHIqNHH/9nN270Lr/yineMGhcH33wDrx0VNxsfLy8FBQWFn0u/fvJqVUfoV2fiRNi9Gw4dknavslJ8KjqdjM3+2b5OwJ8ao9G7fDw/f16ed3nwcVxHc+aIzQRShGDSpPZiuPX1EBx88vv6R2bYMK8ghUfAymSSYOrIyM4FZSso/CzUOplDPEGBglPzW618px7RHP9EGPqO930fGXdNSZuCQWOgoqmCzLJMsquzcbqcpIem0yOifTaDXi8JDLEdD9sUFBQUTl9UKhHjDMk48brHIS1N5hz+7/9EAO6OO8Sm8BAXB48//st29YzGNxbCBst8UdF86PO4xDEltJq8d7lERFUXIiJvhV9BulthufsdHWxUD2mz5XUs/iCB1Vq1lusGdL5I3i/iDyKGd0JO9/1TUFBQUFBQUFA447im3zXc89M9zN07l0C9OAuv7nc1KsU5rdAKjVrDsquWUdYoOQsthdoVFE4DLu59McPih+HChV6jJy4w7vfeJQUFBYXOETNRXh7sTaDSts1L6QSJiRJnUV8vMS/HirsYORIiIqCqSgrTlZcfOxbE1xdmz5aXgoKCgoKCgoLCHxhlfvqUoNVKAcbw8BOvq6CgoPBrclLCb1qtlrq6ujbv7dwpybODO8j6CDg6s6OTfPPNNzz44IM88sgj1NTU0KNHD+bOnculf1j1LgWFX4hPFKT9thV0tVpJiJs48cTrKvxKqDzqL63EowJSofud3v/d4myDYgfxzf5vSApO4vMLP+dI/RHm7ZsH0EbQaVj8MJblLqPSVMnQ+KEcqBJ1qa5hXUVoreGwd9utRRDMZW2rXneWgDRIvQZy34dDb4LNCIkXSGVscwmULQe/BOgt2ZVJwUnM6D6D+QfmU9pYSkZUBuNTxp/87yr8NvgnQrfbjr/O7ziA9Nf78/XFX3Oo+hAAU9Kn/Lo/WLdb/kaOBv0xZL3tTd5ln2Nn1jY3e5f9/I79k9u3e5fHj4fk5Pbr9O8vfyemSoOeU5NDWWMZa4+sBWBM8hi0Z6IitVoD/Z6S9qd6iwjC2JskWdEvAcIGgiHilP+sTgd//7u8LBZJOm9qAoNBKs5FnPqfbEGlUrHq2lXUNdcBEBtwBmdN1rR6eCKGHWdFd6Bb6yTW0P6QMKvlX3VAEg8+CNddJ03eX/4CL78sIiu+viLO+PXXkJrqTcoaOFDuheNxfo/z8dP5sadiD89veB4QMTgFBQUFhWPQcFD+BnTxir4djUcADkRI6xjcfrsItJaWSiUXsxmuuELErioqYMUKESG49dZTuP8KCiAJrZGj5NUR1Vu8y8YDEO9Wkj1ra5vVmp/1Lh9vPFFWJvc0QEgIXHll28/VakksV1BQUPiz0LWrvM50WvseCgqOvV5rt566g/oGHsaPh9tuE7HQjRtFDH3mTPFz1NTAhg3Qqxe8//4v3vU/LB4BKwWFPx2Ro6WwBkDJD5B6pfjG029ot6q/3p/xKeNZcngJSw8vJbtaStSf27WD6ggKCgoKCkDbKsM2m9hWdruM4f39f9dd+3PQ5wlYMx2a8mDJIOh6q8Q32BuheivU7YKJy6DH36WAVOliWHM+pN8oc4mWaqhcC9YaGPTy7300Cn8E/iwidwoKCgoKCgoKCn8Irux7Jfcvv5/lucvRqrWoUHFNv982F0Hhj0GkfySR/pG/924oKHRIckgHgfEKCgoKfzS0P8+h7+sLf/2rFOAzmeCmm+Ctt2SOwMP69dClCzz2mMRtNDVJgbr775c8Io0G9uyBzz+HBQskZ0VBQUFBQUFBQUFBQUFBQeH04qRUPrp168by5cvbvLd06VJUKhUjR45st35JSQmxPyOTISAggJdffpmXX1YC4xQUFM5gAtLlr60OGnIgsAsE9YCBL7Vb1SPutqtsV5u/0f7RJAQltKw3PGE4ANtLtrf563kftd67UZfdu5x6ddvEc9+TqJg05C0Rkct5B/I/kZcHlRr6Pdtm9WcmPcO0LtMA6B/Tv/O/o6DQAWOTxzI2eeyv/0OmErBWy3JQT+/71loRPPSg9fUu2xvlr0oFY771vq/WE77f++/xEnB37PAuDxp0/F2MD4qnW3g3squzWVOwpkX4bWLKGa7wqfWH6Any+o0xGCAj47f9zTDfMBH6PNPxiAP5JYIuSJbzP4Osf0NzuXc9v0RozPEKO4Ikrh6VvDp7tiRcPfww7N8PU6fKo63RSBIWwKuvetdP7ERhzAB9AOd1P4+5e+eyu3w3apWay/pc9jMOVkFBQeEMwFzmtblipx17vbo93uXgXvK3qRAOvyMiWm6CgmDdOgmaWbYM/u//5NWa++47JXuuoHByhA0G33gwF0PBpyIMr9a0XcdpIyzMqzB75MixN5eZ6V0eOVJEaRQUFBQU/vxMnSo+CYsFFi2SwN+OhEMSvG5ldu9u/3lrXn0VzjsP5s4Vkdy335b3fX2hTx/5TQUFhT8h8dPBEAWWCtj1D/CL9/pZ7SYo+laKW8VMBkTkbcnhJSw5vIScmhwApneb/jvtvIKCgsIfC50Ooo9dU0rh5xA3DcYvhb2PQdUG2PG3Vh+qIOE8Wez9kMRRHHgBir+TV2tSrv6t9vjPyZkkcnYmHauCgoKCgoKCgsLvTnRANGd3OZsF2QtwOBxMSJmgCCgpKCgoKCgoKPzBeOgh2LpV4jDmzYMffpD8k4AAyVkoKoJdu6SIcWgo/OtfcPAg3Hxz2+0EBx+7LoWCgoKCgoKCgoKCgoKCgsLvy0kJv11wwQU89NBD3HTTTdx6663k5OTw5ptvEhAQwLRp7RNr169fT5cuXU7ZziooKCicUcTPgP3uEt55H0LfJ9p+7nKBwwRafwbFiuJTvaWevNo8MssyARgU11YJyiPwVt5UTmF9IdtKtwEwLH6YrOATBWoDOC1Qm+n9YupVP/841Dro+yT0+RfUbIfGw+Bygk8MhPYHQ1sBou4R3eke0f3n/56Cwu+Buci7HNTDu7xkqIhGeQhoZRdVb4YotyidJ3HAzaRJIiAFsHixd/losrK8y716nXg3J6ZMJLs6mxV5K9hYuFHeSz3Dhd8UzkxsDfK3tZCppQrq97RdL+4cyH5FhN8aDkFg17afu1wts6B33w033gjLl8PKlVBRAVotpKTA+PFgtXq/plZ3bjev7nc1Sw8vBaQPby3mqqCgoKDQCo+gJ7S1xY7GWit/VWrwT5Fl0xHY90S7VdPSYOlSqKyEn36Cw4fBZoPISBg8WKoiKij85qjUkDYb9j0JtTth9dnQ414ISANToSQeW+sZP/79lq8sXXrsze3a5V3ucZxHR0FB4QzmWFGfR7+vJK//oQgNhZkzpaJzTQ1cfDG88gqku+uQ7N0rVaL//ncZ6wLMnw///rcIjhyLyZPlBSKCbrGAn58SPKyg8IelM32AywXDP4R1s8BcCismgk+0FNswFYLTBkPfaVl9erfp3LH4DlYXrMbpchKgD2Bcyrhf+UAUFBQUFBSOQ8xEeVnroG4X2M2gDxEfoz5E1lGpoNd90PNeqN4C9VngtIIhAkL6QJAS26BwilHG4goKCgoKCgoKCqeIJyc+yZS0KQCMTBz5O++NgoKCgoKCgoLCyRIQIMWL58+H77+XPIUdOyRHIT0dLrwQkpJk3csvl1dBAWzcCPX14OMDXbtKzKtSFFZBQUFBQUFBQUFBQUFB4fTkpITf7rrrLubNm8c777zDu+++C4DL5eL555/H39+/zbrbtm0jJyeHm2666dTtrYKCgsKZRMQI8E+FpjzIehrsJki7VoTZqjfDodch4xGIO4dwv3BSQlLIr8snsyyTzPJMgBZBuJZN+kWQFppGbm0um4s3twjEeQTh0BggcgyUL4OK1fKbWr9TczwqNYQPkZeCwp8Nu8m7rA899nphg0AfBtYaODIPetwtz0ZrbI0MHx5AQoJU4NmwAT75BK68stUqNliwABoavO+lpJx4NyemTuSt7W/xye5PaLI1EeYbRv+Y/p05QgWFPxdOtwqb+jgZ6wCJF4rwGy5YOxMGvw5R48BhgbJlkPUUTNnQsnpQkCTPz5zZflMbN3qXy8s7t5vTukyj6h9VnVtZQUFB4Uym4ZB3OSBV/trNkPOWiE97cJjlr9qnvQ12DCIjJRhGQeG0offDULsDSn6Asp/k1Zqki+naFfr1E2G3Q4fgjTfgllvarrZoEZSVef/vruQoKygo/BKUpPQ/HC+9BFu2QG6uVIT+8UdITobGRqiqgvBweO01EbvdvBny8uDqq+HFFyE2Vi7lmjXw9dciGnc0Wq28FBQUzgDipsG0HZDzXyj8EkxFgAr8EiF6gvjS3KSGptIzoif7q/YDMCVtCnqNkmGgoKCgoHAaoA9p02d1iEoNEcPlpaCgoKCgoKCgoKCg8Aegb3Rf+kb3/b13Q0FBQUFBQUFB4RegUsGsWfLqDMnJ8lJQUFBQUFBQUFBQUFBQUPhjcFJpF76+vqxfv56XXnqJTZs2ERYWxkUXXcSMGTParbtjxw7OO++8Dj9TUFBQUOgEKjWM+BhWnQX2Jjj4oryOwaDYQS3Cb7vKdgEwOG5wu/WGJwwntzaXj3d/jMlmwlfr23ZiP3aaCL9Za2DrTSJyowuSz2oz4dAbMPS/p/JIFRT++Dht3mX1ccwrlRripkP+RyJCsv4S6PuUCJTUZ0HO26DxQTXwRe67D26/Xb521VXw4YcwejRUVIjoW3w8hIR4N+3re+LdnJA6ARUqmmxNAIxPGY/qWMnZCgp/ZjTuB8bR7H0vaiwMeMn7vyd5J+VKyP8E6vfB8vHyXacFXM6T+smePUGtBqcTtm2Tv+rOaQ4pKCgoKJwIa7132d8dsWJvhJ1/b7ueym2nueze99QG8Evw/m+I/HX2UUHhVKHRw9gFULoEcj+Amm1im/jGQ+RoSL8BgHvv9YpH33qrVP2cOhXq6mDhQjAa5X8P4eG//aEoKCj8AeisUJviW/jDERMDW7fC88/Dp59CYSHk58tnQUFe4dvXX4cxY8Bshs8/h2++kQDhqiqorYWRI3+3Q1BQUPi1ORmxzqAeMPBFeTnt4gc/htj2dQOuY+7euQBc3kdR2VZQUFBQUFBQaIcimq6goKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKBwRnBSwm8AAQEBPPzwwydcb86cOcyZM+dn7ZSCgoKCgpvIUTB1Kxx4AQo+A4dZ3teHQ+JMCB3UsurguMF8vf9r1h5ZS25tLiBicEczLH4Yn+35jEXZiwAYGDsQnUbnXSH9etj/HFgqROim5AcI7Q/mEjAekAQeBQWFtmh8vMsOi3e5+9/AUt1qPX/o+wT/396dB2lZnXnj/z5N0zQ7NqAIuIKKBARccBk1aBSM4poYFZMREyfzi5rFCS4oSPNGjJoQJ/jGTByrNFMajSHElDrRhLDEmYyG1yVumAkqaHAEQZBFCCL9+6OHbloWm8jD0918PlV39bnPOfd9rocq6+Lqti/y5kPJumXJG1Nrr00d+LUkyeWXJ6+9lnzvf/s9Tp9ee23Uu3dSvsnf5NZv0r9ka7q165aBewzMc4ueS5KcuO+Jjfl00PJUdKn9uurV+rndBtdeH3bkXUmHvrWNT/+6uD4XF1olvU5v9JFduiRDhiRPPVXbaOU//7P2l+cB2AE2bNLIs7zD1veVt/vf/euS91clrTskXQ9PznyjuPHBjlYoS3p+uvbaigsvTObOTSZNqr3/cD2x777JunX19xUVxQkVgKarqir59reTG2+szRnLltXWrgcdVP89p8MOS2bNSsaMSR5/vDZ3/PnP9e8YNKgUkQNN2rb+YZQkY44ZkzHHjNlJwQAAAAAAAAAAAAAANE3b3fgNgJ2s88HJkXcmh//fZM1btQ2m2vbYbNvGJm+z5s9KTWrSo0OP9OrUa7N9R/U+KknyQc0HDe7rVHRJjn8wmT0yWfdO7bVoRv16WZsd8rGgRdm0wch7f6kfH3j5FvbunZwwPfl/lyZLn2y41qoy2W1I3e3kycmXvpT8y78kv/518u67SY8eyYkn1jaGu+aa+keXL29cqDefdHNeWPxCkuTsg89u3EPQ0nQ5JFk8qzbHvfdm0q7n1veWlScDJyT9r0kW/y5ZtzSpqEqqDkvadN2uY088sbbxW5J84xvJb35T+4v2Se0vz48dm0yYkHTq9Dd9KoBd14b368eFbXyrq93e9eMVLyVdhxYvJmgCbrghOf/85Pbbk4ceSt55J+nWLTn++Np64q676vf+9a9bfw/AR6qpKXUEfAyFQtK//9bXhw5Nfve72uZwM2bUNjPfY4/kk59M+vTZeXECAAAAAAAAAAAAAAC0FBq/ATQXrSqTDvtudfmwnrWN32pS+4uWGxvBfdjgHoPTplWb/PWD2t/qPrLXkZtv6nZ0csaCZN6Pkr9MS95/N2nbK9njU0mfL328zwEtUccDkhSS1CQr5n70/qpDk+FPJIsfT5Y+UduspOMBSY+Ta5svbqJ//2TKlC2/pscmPSBffjk59dSPPvqUvqfklL6nfPRGaMmqDq8fL/ptst8XNt9TsyEplNXft2qT7Hnyxzr2S19Kbr01Wb8+efrp5KCDkosuSt5/v7YZy2uvJddf/7GOANg1lVXUjzc2gSsrTzoeVD/fYb8GDXaz/DmN39glDBhQ2/jt9ts3X7v//vrx0qU7LyYAmqeDD669AAAAAAAAAAAAAAAA+Hg0fgNoIaraVmW/LvvlteWvJUkO73n4FvdVtKrIGQedkecXP58kOXqvo7f8wtYdkoO/WXttSaHw0fM1NY2KHZq91h2SDvsnq15Jlj3T+Od2P672+hsN2aR3yUsv/c2vgV1P1SbNUV+8Iel1RlLRufZ+wwfJH8cmff/hf5s67jgHHVTb2G1jc7clS5LJk3foEQC7plaV9eP3V9R+rdgtGflyw31rF9ePF9yX9Lmk4foH65I1C2ubxMEuoGfP+vHLL299HwAAAAAAAAAAAAAAAACw45SVOgAAdpzDetY3sjlsz8O2uu+Bcx/I3MvmZu5lc9O7U++dERq0fF0G1X5994Vk6ZzN1//nNzv8yEMPrR9Pn77lXov6L8IWdDo46dC3drzyv5NfHZL8aUoy9zvJY4cmL3+naEePH5/cemvSrdvma6eemrRrV7SjAVquit3qx6tf2/q+yt2TdnvVjhfNSF66qf4vS+8tTGafmiz9Q/HihCZm0KD6scZvAAAAAAAAAAAAAAAAALBzFGpqWmY7kBUrVqRz5855991306lTp1KHA7BT/HX9X7Pug3VJkvYV7VNWKGJ/z0Lho/e0zBQDW/bit5Pnrq0ddzwoOf7BpFO/ZN2y5I9jk9ULkmG/2qFHrl+fdOyYrF1be3/PPcmFF9avL1uW3HFHcvXVO/RYaBnm/Wsy58tbXx/530nHA4p2/MqVtf/Nzp+fdOmSnHRScsQRRTsOoGV7+z+T6cfWjod8L+l3xdb3/vHa5KVv1993HpBUdEmWPplseD855v5kn/OKGi40FYsXJ3vsUTvu1ClZtCiprCxtTAAAAAAAAAAAAAAAAADQHG1Pz7MidgQCYGdrU94mHdt0TMc2HYvb9C2pber2URfsSvYdlWz8727ln5JHhySP9E8e7JnM+1FRjiwvT44/vv7+i19MfvCD2kZS06YlQ4cmL71UlKOh+etzSdLrzC2vFVolZcXtetKxY/KVryQ335yMHavpG8DH0umg+vG7L25774FfTyp222T/C8nb/1Hb9A12MbvvnvToUTtesSK5++6G6+vXJ9/97k4PCwAAAAAAAAAAAAAAAABaNI3fAAB2hPb7JPtcWH//wdpkxdzar0V06aX143XrkssvT/bbL/nMZ5J584p6NDRvhUJy3C+Sw3+QlHfYOJl0Pz751Kyk/V4lDA6A7dKmW1LRtXb8P/+ebFi/+Z7lL9R+bbtHctS/Ja07b76nVduk/b5FCxOaomOOqR9fcUXy05/Wjl99NRk5MvnNb0oTFwAAAAAAAAAAAAAAAAC0VBq/AQDsKId+L+kyeMtrHfoU5cgzzkhOOKEor4aWr1BIDrg0+cw7yemvJZ9Zlpw0O+l+bKkjA2B7depX+3XN/yQvf6/h2vMTkr/8ov6+18jk088nvc6sbRrXbq9kv4uSU55Juh2582KGJuCLX6wfr12bnH9+0q5d0qdP8thjpYsLAAAAAAAAAAAAAAAAAFqq8lIHAADQYrTplgx/Mvnj2GTevyQfvFfbhOTAryV9/7+iHFkoJPfck1xwQfK7322+9slPFuVYaFnKWicd9i11FAB8HLt/Mlnyn7XjP16drFmYdBmUvP5A8tZjycD/03B/+72S4x/c6WFCU/PpTyeHHpo8/XT93Jo1pYsHAAAAAAAAAAAAAAAAAFo6jd8AAHakVhXJoZOTId9NNqxLWrUp+pE9eyYzZya33prcdVfyzju1zRuuuSY59tiiHw8AUHr7nJ+8dGP9/X9PKV0s0IyUlSV33pmcdFJtHfFhu+2282MCAAAAAAAAAAAAAAAAgJasrNQBAAC0SIXCTmn6tlFZWfLNbyYvvJC8+Wby8MOavgEAu5AuA5Mew0sdBTRLQ4Ykf/xjctxxDefPPTe5447SxAQAAAAAAAAAAAAAAAAALVV5qQMAAAAAgI/t0H9OZpyYrH1r87VOB+30cKA56d07mTkzefLJZNGiZODApG/fUkcFAAAAAAAAAAAAAAAAAC2Pxm8AAAAANH+dD06GP5nMPi1594XauTbdaxvC7f25koYGzUGrVskxx5Q6CgAAAAAAAAAAAAAAAABo2TR+AwAAAKBlaL93MmJOsuzZpGZDUnV40qqi1FEBAAAAAAAAAAAAAAAAAEASjd8AAAAAaElaVSbdjip1FAAAAAAAAAAAAAAAAAAAsJmyUgcAAAAAAAAAAAAAAAAAAAAAAAAA0NJp/AYAAAAAAAAAAAAAAAAAAAAAAABQZBq/AQAAAAAAAAAAAAAAAAAAAAAAABSZxm8AAAAAAAAAAAAAAAAAAAAAAAAARVZe6gCKpaamJkmyYsWKEkcCAAAAAAAAAAAAAAAAAAAAAAAAtEQbe51t7H22LS228dvKlSuTJHvttVeJIwEAAAAAAAAAAAAAAAAAAAAAAABaspUrV6Zz587b3FOoaUx7uGZow4YNefPNN9OxY8cUCoUktR3x9tprr7zxxhvp1KlTiSMEALZEvgaA5kHOBoCmT74GgOZBzgaApk++BoDmQc4GgKZPvgaA5kHOBoDmQc4GgKalpqYmK1euTM+ePVNWVrbNveU7KaadrqysLL17997iWqdOnfylBQCaOPkaAJoHORsAmj75GgCaBzkbAJo++RoAmgc5GwCaPvkaAJoHORsAmgc5GwCajs6dOzdq37bbwgEAAAAAAAAAAAAAAAAAAAAAAADwsWn8BgAAAAAAAAAAAAAAAAAAAAAAAFBku1TjtzZt2mTChAlp06ZNqUMBALZCvgaA5kHOBoCmT74GgOZBzgaApk++BoDmQc4GgKZPvgaA5kHOBoDmQc4GgOarUFNTU1PqIAAAAAAAAAAAAAAAAAAAAAAAAABasrJSBwAAAAAAAAAAAAAAAAAAAAAAAADQ0mn8BgAAAAAAAAAAAAAAAAAAAAAAAFBkGr8BAAAAAAAAAAAAAAAAAAAAAAAAFFmLb/y2atWqfOMb30jPnj1TWVmZwYMH5/777y91WACwy5o1a1YKhcIWryeeeKLB3qeffjonnXRSOnTokC5duuScc87Jq6++WqLIAaDlWrlyZa666qoMHz483bt3T6FQSHV19Rb3bk9+vu2229KvX7+0adMm++23XyZOnJj333+/iJ8EAFquxubr0aNHb7Hm7tev3xbfK18DwI4zY8aMfPGLX0y/fv3Svn379OrVK2eeeWaeeuqpzfaqrwGgdBqbs9XYAFA6zz77bE477bTsvffeadu2baqqqnL00Ufnnnvu2WyvGhsASqexOVuNDQBNy5133plCoZAOHTpstqbOBoCmY2s5W50NAC1DeakDKLZzzjknc+bMyU033ZQDDzwwP/nJT3LBBRdkw4YNGTVqVKnDA4Bd1o033pgTTjihwdyAAQPqxi+//HKGDRuWwYMH54EHHsjatWtz/fXX57jjjsuzzz6b7t277+yQAaDFWrp0ae64444MGjQoZ511Vu68884t7tue/Dxp0qSMHz8+11xzTYYPH545c+Zk3LhxWbhwYe64446d9dEAoMVobL5OkrZt22bGjBmbzX2YfA0AO9YPf/jDLF26NF//+tfTv3//vP3225k8eXKOOuqoPPbYYznxxBOTqK8BoNQam7MTNTYAlMry5cuz11575YILLkivXr2yevXq3HvvvfnCF76Q+fPnZ9y4cUnU2ABQao3N2YkaGwCaioULF2bMmDHp2bNn3n333QZr6mwAaDq2lbMTdTYAtASFmpqamlIHUSz//u//ntNOO62u2dtGw4cPz4svvpjXX389rVq1KmGEALDrmTVrVk444YT87Gc/y2c/+9mt7vvc5z6XmTNn5pVXXkmnTp2SJAsWLMgBBxyQK664IjfffPPOChkAWryN3xooFApZsmRJunfvngkTJqS6urrBvsbm56VLl6Z37975+7//+/zoRz+qe/7GG2/MuHHj8sILL6R///4758MBQAvR2Hw9evToTJ06NatWrdrm++RrANjxFi9enN13373B3KpVq9K3b98MGDAg06dPT6K+BoBSa2zOVmMDQNNz1FFH5c0338zrr7+eRI0NAE3Vh3O2GhsAmo7TTz89hUIhVVVVm+VndTYANB3bytnqbABoGcpKHUAx/eIXv0iHDh1y7rnnNpi/+OKL8+abb+bJJ58sUWQAwLasX78+Dz/8cD7zmc/U/aAgSfbZZ5+ccMIJ+cUvflHC6ACg5SkUCikUCtvcsz35+dFHH83atWtz8cUXN3jHxRdfnJqamjz44IM7NH4A2BU0Jl9vD/kaAHa8DzeQSZIOHTqkf//+eeONN5KorwGgKWhMzt4ecjYA7DzdunVLeXl5EjU2ADRlm+bs7SFnA0Bx3XPPPZk9e3Zuv/32zdbU2QDQdGwrZ28PORsAmrYW3fjthRdeyMEHH7zZDwsOOeSQunUAoDQuu+yylJeXp1OnThkxYkT+4z/+o27tlVdeyZo1a+py9qYOOeSQzJs3L2vXrt2Z4QLALm978vPGenvgwIEN9u25557p1q2behwAimzNmjXp0aNHWrVqld69e+fyyy/PO++802CPfA0AO8e7776bp59+Op/4xCeSqK8BoKn6cM7eSI0NAKW1YcOGrF+/Pm+//XZuv/32PPbYY7n66quTqLEBoCnZVs7eSI0NAKW1ePHifOMb38hNN92U3r17b7auzgaApuGjcvZG6mwAaP62/59PaUaWLl2a/ffff7P5qqqqunUAYOfq3Llzvv71r2fYsGHp2rVr5s2bl+985zsZNmxYHnnkkYwYMaIuR2/M2ZuqqqpKTU1Nli1blj333HNnhw8Au6ztyc9Lly5NmzZt0r59+y3uVY8DQPEMGjQogwYNyoABA5Iks2fPzq233prf/va3mTNnTjp06JAk8jUA7CSXXXZZVq9eneuuuy6J+hoAmqoP5+xEjQ0ATcGll16aH/3oR0mSioqKTJkyJf/4j/+YRI0NAE3JtnJ2osYGgKbg0ksvzUEHHZSvfOUrW1xXZwNA0/BROTtRZwNAS9GiG78lSaFQ+JvWAIDiGDJkSIYMGVJ3f9xxx+Xss8/OwIEDc9VVV2XEiBF1a/I4ADQ9jc3P8jgAlMYVV1zR4P7kk0/OkCFD8tnPfjb/+q//2mBdvgaA4ho/fnzuvffe3HbbbTnssMMarKmvAaDp2FrOVmMDQOlde+21ueSSS7J48eI89NBDufzyy7N69eqMGTOmbo8aGwBK76NythobAErr5z//eR566KE888wzH5lP1dkAUDqNzdnqbABoGcpKHUAxde3adYtdZt95550kW+48DwDsfF26dMnIkSPz3HPPZc2aNenatWuSbDWPFwqFdOnSZSdHCQC7tu3Jz127ds3atWvz3nvvbXGvehwAdq6zzz477du3zxNPPFE3J18DQHFNnDgxN9xwQyZNmpTLL7+8bl59DQBNy9Zy9taosQFg59p7771z+OGH59RTT80Pf/jDfPnLX87YsWPz9ttvq7EBoAnZVs7eGjU2AOwcq1atymWXXZavfvWr6dmzZ5YvX57ly5dn3bp1SZLly5dn9erV6mwAKLHG5uytUWcDQPPTohu/DRw4MHPnzs369esbzD///PNJkgEDBpQiLABgC2pqapLUdojv06dP2rZtW5ezN/X888+nb9++qays3NkhAsAubXvy88CBA+vmN/XWW29lyZIl6nEAKIGampqUldX/SEC+BoDimThxYqqrq1NdXZ1rr722wZr6GgCajm3l7G1RYwNA6QwdOjTr16/Pq6++qsYGgCZs05y9LWpsACi+JUuWZNGiRZk8eXJ22223uuu+++7L6tWrs9tuu+XCCy9UZwNAiTU2Z2+LOhsAmpcW3fjt7LPPzqpVq/Lzn/+8wfyPf/zj9OzZM0ceeWSJIgMANrVs2bI8/PDDGTx4cCorK1NeXp7TTz8906ZNy8qVK+v2vf7665k5c2bOOeecEkYLALum7cnPp5xySiorK3P33Xc3eMfdd9+dQqGQs846aydFDQAkydSpU/Pee+/lqKOOqpuTrwGgOL71rW+luro648aNy4QJEzZbV18DQNPwUTl7a9TYAFBaM2fOTFlZWfbff381NgA0YZvm7K1RYwPAztGjR4/MnDlzs2vEiBGprKzMzJkzc8MNN6izAaDEGpuzt0adDQDNT3mpAyimT3/60zn55JPzla98JStWrEjfvn1z33335dFHH80999yTVq1alTpEANjljBo1KnvvvXcOP/zwdOvWLX/+858zefLkLFq0qME3DyZOnJgjjjgiI0eOzDXXXJO1a9fm+uuvT7du3fLNb36zdB8AAFqoX/3qV1m9enXdD+pfeumlTJ06NUly6qmnpl27do3Oz1VVVRk3blzGjx+fqqqqDB8+PHPmzEl1dXUuueSS9O/fvySfEQCau4/K12+//XZGjRqV888/P3379k2hUMjs2bPzz//8z/nEJz6RSy65pO5d8jUA7HiTJ0/O9ddfn1NOOSWnnXZannjiiQbrG/+nOvU1AJRWY3L2ggUL1NgAUEJf/vKX06lTpwwdOjR77LFHlixZkp/97Gf56U9/miuvvDLdu3dPosYGgFJrTM5WYwNAaVVWVmbYsGGbzd99991p1apVgzV1NgCUTmNztjobAFqOQk1NTU2pgyimVatW5brrrssDDzyQd955J/369cvYsWNz/vnnlzo0ANgl3XTTTfnpT3+a1157LatWrUpVVVWOPfbYjB07NkcccUSDvU899VSuvvrq/Nd//VfKy8tz4okn5rvf/W769OlTougBoOXad999s2DBgi2uvfbaa9l3332TbF9+njJlSn7wgx9k/vz56dGjRy6++OJcd911ad26dTE/CgC0WB+Vrzt37pwvfelLeeaZZ7Jo0aJ88MEH2WeffXL22Wfn2muvTefOnTd7Tr4GgB1n2LBhmT179lbXN/3RvPoaAEqnMTl72bJlamwAKKG77rord911V+bOnZvly5enQ4cOGTRoUC655JJ8/vOfb7BXjQ0ApdOYnK3GBoCmafTo0Zk6dWpWrVrVYF6dDQBNy4dztjobAFqOFt/4DQAAAAAAAAAAAAAAAAAAAAAAAKDUykodAAAAAAAAAAAAAAAAAAAAAAAAAEBLp/EbAAAAAAAAAAAAAAAAAAAAAAAAQJFp/AYAAAAAAAAAAAAAAAAAAAAAAABQZBq/AQAAAAAAAAAAAAAAAAAAAAAAABSZxm8AAAAAAAAAAAAAAAAAAAAAAAAARabxGwAAAAAAAAAAAAAAAAAAAAAAAECRafwGAAAAAAAAAAAAAAAAAAAAAAAAUGQavwEAAAAAAAAAAAAAAAAAAAAAAAAUmcZvAAAAAAAAAAAA7LLmz5+fQqGQ0aNHb9dzhUIhw4YNK0pMAAAAAAAAAAAAtEwavwEAAAAAAAAAAFAyGxuvbXpVVFRkr732yqhRo/Lcc8+VJK5hw4alUCiU5GwAAAAAAAAAAABapvJSBwAAAAAAAAAAAAB9+vTJ5z//+STJqlWr8sQTT+S+++7LtGnTMmPGjBxzzDFFObdXr16ZO3duOnfuvF3PzZ07N+3atStKTAAAAAAAAAAAALRMGr8BAAAAAAAAAABQcn379k11dXWDuXHjxmXSpEm57rrrMnPmzKKc27p16/Tr12+7n/tbngEAAAAAAAAAAGDXVlbqAAAAAAAAAAAAAGBLvvrVryZJ5syZkyRZv359br311gwaNCht27ZN586dc8IJJ+SRRx7Z7NkNGzbkzjvvzNChQ1NVVZV27dpl3333zVlnnZXf/e53dfvmz5+fQqGQ0aNH180VCoXMnj27brzx+vCeYcOGbXbu0qVLc8UVV2S//fZLmzZtsvvuu+e8887LSy+9tNne0aNHp1AoZP78+bn99ttz8MEHp7KyMvvss08mTpyYDRs2/C1/bAAAAAAAAAAAADRR5aUOAAAAAAAAAAAAALakUCjUjWtqanLeeedl2rRpOfDAA3PZZZdl9erVeeCBBzJy5Mh8//vfz9e+9rW6/WPHjs0tt9ySPn36ZNSoUenYsWMWLlyYxx9/PDNmzMjxxx+/1XMnTJiQu+++OwsWLMiECRPq5gcPHrzNeJcuXZqjjjoq8+bNy7Bhw3L++edn/vz5mTp1ah555JH85je/ydFHH73Zc1deeWVmzZqVkSNHZvjw4XnwwQdTXV2ddevWZdKkSdvxJwYAAAAAAAAAAEBTpvEbAAAAAAAAAAAATdKUKVOSJEcccUTuueeeTJs2LZ/85Cfz61//OhUVFUmS6667LocddljGjBmT008/Pfvtt1+S5M4770yvXr3y3HPPpV27dnXvrKmpybJly7Z5bnV1dWbNmpUFCxakurq60fFeddVVmTdvXsaOHZsbb7yxbn706NE55ZRTctFFF+Xll19OWVlZg+eeeuqpPPfcc9lzzz2TJOPHj88BBxyQ2267LRMmTKj7rAAAAAAAAAAAADRvZR+9BQAAAAAAAAAAAIpr3rx5qa6uTnV1dcaMGZNjjz02kyZNSmVlZW688cbcfffdSZJbbrmlQSO03r1754orrsj777+fe++9t8E7KyoqUl7e8N9HLRQKqaqq2uHxr1u3Lvfdd1+6du2acePGNVgbMWJERowYkT//+c/5/e9/v9mz48ePr2v6liTdunXLmWeemZUrV+ZPf/rTDo8VAAAAAAAAAACA0tD4DQAAAAAAAAAAgJJ75ZVXMnHixEycODFTpkzJggULMmrUqPzhD3/I0UcfnWeeeSZt27bN0KFDN3t22LBhSZJnn322bu5zn/tcXnvttQwYMCDjx4/P9OnTs3r16qLF//LLL2fNmjUZOnRo2rVr16gYNzr00EM3m+vdu3eSZPny5TsyTAAAAAAAAAAAAEpI4zcAAAAAAAAAAABKbsSIEampqUlNTU3WrVuXN954I/fee28GDhyYJFmxYkX22GOPLT7bo0ePJMm7775bNzdlypTccsstad26dW644YacfPLJ6datWy666KIsWbJkh8e/YsWKJNmuGDfq3LnzZnPl5eVJkg8++GBHhQgAAAAAAAAAAECJafwGAAAAAAAAAABAk9epU6csWrRoi2sb5zt16lQ317p161x55ZV58cUXs3DhwvzkJz/Jcccdl3/7t3/LhRdeWJT4No2lMTECAAAAAAAAAACwa9H4DQAAAAAAAAAAgCZvyJAhWbNmTf7whz9stjZ79uwkyeDBg7f4bM+ePXPBBRfk0UcfzQEHHJDp06dnzZo12zyvVatWSZIPPvigUfH169cvlZWVmTNnTt57773tjhEAAAAAAAAAAICWT+M3AAAAAAAAAAAAmryLLrooSTJ27Ni8//77dfMLFy7M9773vZSXl+fCCy9Mkvz1r3/NjBkzUlNT0+Adq1evzsqVK9O6deu6xm5bU1VVlST5y1/+0qj4KioqcsEFF2TJkiX59re/3WBt+vTp+dWvfpW+ffvm7/7u7xr1PgAAAAAAAAAAAFqe8lIHAAAAAAAAAAAAAB/lC1/4QqZNm5Zf/vKXOeSQQzJy5MisXr06DzzwQJYuXZrJkydn//33T5KsWbMmn/rUp7L//vvnyCOPzN57751Vq1bl4YcfzltvvZWrr746FRUV2zzvxBNPzNSpU3Puuefm1FNPTWVlZQYOHJjTTjttq8/cfPPNmT17dm644Yb8/ve/z5FHHpn58+dn6tSpadeuXe66666Ulfn3WgEAAAAAAAAAAHZVGr8BAAAAAAAAAADQ5BUKhUydOjXf//738+Mf/zi33XZbKioqcuihh+af/umfcsYZZ9Ttbd++fW6++eb89re/zeOPP57Fixdnt912S79+/XLzzTfnvPPO+8jz/uEf/iHz58/P/fffn0mTJmX9+vW56KKLttn4rXv37nnyySfzrW99K7/85S/z+OOPp3PnzjnzzDMzYcKEDBgwYIf8WQAAAAAAAAAAANA8FWpqampKHQQAAAAAAAAAAAAAAAAAAAAAAABAS1ZW6gAAAAAAAAAAAAAAAAAAAAAAAAAAWjqN3wAAAAAAAAAAAAAAAAAAAAAAAACKTOM3AAAAAAAAAAAAAAAAAAAAAAAAgCLT+A0AAAAAAAAAAAAAAAAAAAAAAACgyDR+AwAAAAAAAAAAAAAAAAAAAAAAACgyjd8AAAAAAAAAAAAAAAAAAAAAAAAAikzjNwAAAAAAAAAAAAAAAAAAAAAAAIAi0/gNAAAAAAAAAAAAAAAAAAAAAAAAoMg0fgMAAAAAAAAAAAAAAAAAAAAAAAAoMo3fAAAAAAAAAAAAAAAAAAAAAAAAAIpM4zcAAAAAAAAAAAAAAAAAAAAAAACAItP4DQAAAAAAAAAAAAAAAAAAAAAAAKDI/n9gz8dpxnKTOQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "crested.pl.patterns.contribution_scores(\n", + " scores,\n", + " one_hot_encoded_sequences,\n", + " sequence_labels=regions_of_interest,\n", + " class_labels=classes_of_interest,\n", + " zoom_n_bases=500,\n", + " title=\"FIRE Enhancer Region\",\n", + ") # zoom in on the center 500bp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Contribution scores on random test set regions" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:39.277930+0100 INFO Calculating contribution scores for 2 class(es) and 1 region(s).\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Region: 100%|██████████| 1/1 [00:02<00:00, 2.57s/it]\n" + ] + } + ], + "source": [ + "# plot predictions vs ground truth for a random region in the test set defined by index\n", + "idx = 21\n", + "region = test_df.index[idx]\n", + "classes_of_interest = [\"L2_3IT\", \"Pvalb\"]\n", + "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_regions(\n", + " region_idx=region, class_names=classes_of_interest\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "crested.pl.patterns.contribution_scores(\n", + " scores,\n", + " one_hot_encoded_sequences,\n", + " sequence_labels=[region],\n", + " class_labels=classes_of_interest,\n", + " zoom_n_bases=500,\n", + " title=\"Test set region\",\n", + ") # zoom in on the center 500bp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Enhancer design [more updates soon]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Load data and model" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "adata = ad.read_h5ad(\"mouse_cortex_filtered.h5ad\")\n", + "\n", + "datamodule = crested.tl.data.AnnDataModule(\n", + " adata,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "# load an existing model\n", + "evaluator = crested.tl.Crested(data=datamodule)\n", + "\n", + "evaluator.load_model(\n", + " \"mouse_biccn/finetuned_model/checkpoints/02.keras\", # Load your model\n", + " compile=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sequence evolution" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can create synthetic enhancers for a specified class using in silico evolution with the {meth}`~crested.tl.Crested.enhancer_design_in_silico_evolution` method." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:21:46.923792+0100 INFO Loading sequences into memory...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 91475/91475 [00:01<00:00, 80153.08it/s]\n", + "100%|██████████| 10/10 [00:24<00:00, 2.47s/it]\n" + ] + } + ], + "source": [ + "designed_sequences = evaluator.enhancer_design_in_silico_evolution(\n", + " target_class=\"L5ET\", n_sequences=5, n_mutations=10, target_len=500\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 267ms/step\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "prediction = evaluator.predict_sequence(designed_sequences[1])\n", + "crested.pl.bar.prediction(prediction, classes=list(adata.obs_names))" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:22:52.478705+0100 INFO Calculating contribution scores for 1 class(es) and 1 region(s).\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Region: 100%|██████████| 1/1 [00:01<00:00, 1.29s/it]\n" + ] + } + ], + "source": [ + "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_sequence(\n", + " designed_sequences[0], class_names=[\"L5ET\"]\n", + ") # focus on two cell types of interest" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "crested.pl.patterns.contribution_scores(\n", + " scores,\n", + " one_hot_encoded_sequences,\n", + " sequence_labels=\"\",\n", + " class_labels=[\"L5ET\"],\n", + " zoom_n_bases=500,\n", + " title=\"synth L5ET\",\n", + ") # zoom in on the center 500bp" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Motif embedding" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "designed_sequences = evaluator.enhancer_design_motif_implementation(\n", + " patterns={\n", + " \"SOX10\": \"AACAATGGCCCCATTGT\",\n", + " \"CREB5\": \"ATGACATCA\",\n", + " },\n", + " target_class=\"Oligo\",\n", + " n_sequences=5,\n", + " target_len=500,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "prediction = evaluator.predict_sequence(designed_sequences[0])\n", + "crested.pl.bar.prediction(prediction, classes=list(adata.obs_names))" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:23:01.302410+0100 INFO Calculating contribution scores for 1 class(es) and 1 region(s).\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Region: 100%|██████████| 1/1 [00:01<00:00, 1.30s/it]\n" + ] + } + ], + "source": [ + "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_sequence(\n", + " designed_sequences[0], class_names=[\"Oligo\"]\n", + ") # focus on two cell types of interest" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAE40AAADICAYAAADi38CwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAC2Y0lEQVR4nOzdd3wUZeLH8e/sbrLpCSEhEHqRKmABVFDUs+Gdvdc71LOdnnrnnXp6Kvby07NfsZwNVLCcp4JgRUH6gdJUWmghJKQnm2Tr/P54srtZkkASgkH9vF+vvDI788zMM7uzM8+071q2bdsCAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOyTHB1dAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABA8wiNAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIB9GKFxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAPIzQOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZhhMYBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwD6M0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2IcRGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+zBC4wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgH0ZoHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADswwiNAwAAAAAAAAAAAAAAAAD8aE2aNEmWZWnSpEkdXZVGjjrqKFmWpdmzZ8f035frDAAAAAAAAAAAAAAAAADYNxEaBwAAAAAAAAAAAAAAAADYJ5WXl2vSpEl6/PHHO6wOVVVVevjhhzVu3DhlZ2fL7XYrNzdXJ510kl599VWFQqEOqxsAAAAAAAAAAAAAAAAA4OeD0DgAAAAAAAAAAAAAAAAAwD6pvLxcd911V4eFxn3xxRcaMGCAbr75Zs2fP1+dOnXSiBEjFAwGNX36dP3617/W6NGjlZ+f36rpZmVladCgQcrKytpLNQcAAAAAAAAAAAAAAAAA/NQQGgcAAAAAAAAAAAAAAAAAwE7mzZunCRMmqKioSGeffbby8vK0Zs0aLV68WNu3b9esWbPUr18/LV26VIcffrhKS0tbPO1rr71W3333na699tq9uAQAAAAAAAAAAAAAAAAAgJ8SQuMAAAAAAAAAAAAAAAAAAGigrq5OF154oerq6vTrX/9aU6dOVe/evSPDLcvS8ccfrzlz5qh79+7auHEjAXAAAAAAAAAAAAAAAAAAgL2K0DgAAAAAAAAAAAAAAAAA+JnbtGmTrrzySvXr109ut1upqanq16+fTj/9dL3xxhuRcrfccossy9Lvf//7Zqe1ZMkSWZalbt26KRgMSpJmz54ty7J01FFHKRQK6YknntD++++vhIQE5eTk6LLLLtOOHTtipjNx4kT17ds3Uj/LsmL+mlJRUaEbbrhBvXr1ktvt1oABA3TPPfcoEAi06v2YPHmyNm7cqKysLD311FPNzi83N1f/93//J0maOnWq1q5d26LpT5o0SZZladKkSU0OnzZtmg499FAlJycrKytLp5xyipYtWxbzPjZl1apVuvjii9WjRw/Fx8crJydHZ555phYsWNCiegEAAAAAAAAAAAAAAAAA9l2ExgEAAAAAAAAAAAAAAADAz9jGjRs1atQoPfvssyosLNSgQYM0YMAAVVRU6N1339WDDz4YKXvppZdKkl5//XX5fL4mp/fyyy9Lki666CI5nc5Gwy+++GLdcMMN8vl8GjBggEpLS/Xvf/9bRx99tLxeb6TcwIEDNWrUKEmS2+3WuHHjYv52VlFRocMOO0zPPPOMOnfurNzcXK1fv1533HGHrr766la9J9OmTZMkXXjhhUpLS9tl2bPPPltZWVkKhUJ66623WjWfptxzzz0699xztXDhQmVkZKhv376aPXu2xo4dq3nz5jU73nvvvaeDDz5YkydPlsfj0ciRI2Xbtt555x2NGzdOzz333B7XDQAAAAAAAAAAAAAAAADQcQiNAwAAAAAAAAAAAAAAAICfsUcffVTFxcX6zW9+o8LCQi1fvlzLli1TSUmJvv32W/3ud7+LlB04cKDGjRunkpISTZ8+vdG0/H6/Xn/9dUnSxIkTGw2fN2+eZs+erYULF2rNmjVauXKlVq1apR49emjVqlV68cUXI2VvvfVWvfnmm5Kkrl27au7cuTF/O3vmmWeUnZ2tTZs2admyZcrLy9N7770np9Op559/Xt99912L3g/btjV//nxJ0pFHHrnb8i6XS4cddpgkRcZrq0WLFmnSpEmyLEv/+Mc/tHXrVi1evFjbt2/X2WefrUmTJjU53rZt23TxxRfL6/Xq+uuvV2FhYWS8++67T6FQSNdcc42WL1++R/UDAAAAAAAAAAAAAAAAAHQcQuMAAAAAAAAAAAAAAAAA4Gds7dq1kqQ//vGPSklJiRk2ePBgXXHFFTH9Lr30UknSyy+/3GhaH3zwgUpKSjRq1CgNGzas0XC/36+nnnpKY8aMifQbOHCgbrrpJknShx9+2OblcLlcmjJlinJzcyP9Tj75ZJ166qmtmnZlZaWqq6slSf3792/ROOFyW7dubU2VG3nssccUCoV02WWX6aqrrpJlWZKkpKQkvfDCC+rdu3eT4/39739XZWWlDjjgAD3++OOKj4+XJDkcDt1666365S9/Kb/fr0ceeWSP6gcAAAAAAAAAAAAAAAAA6DiExgEAAAAAAAAAAAAAAADAz1jPnj0lSW+99ZZs295t+XPOOUcpKSmaMWOGduzYETMsHCQ3ceLEJsft1KmTzjjjjEb9R48eLUnasGFDa6oeY8KECerRo8ceT7uqqirSnZyc3KJxwuUajtsWn3zyiSTpkksuaTQsLi5OF110UZPjffTRR5Kka6+9tsnh119/fUw5AAAAAAAAAAAAAAAAAMCPD6FxAAAAAAAAAAAAAAAAAPAzds011yguLk733HOP+vbtq6uuukpTpkzRtm3bmiyfkpKis88+W36/X6+//nqkf3FxsWbMmKH4+Hidf/75TY7bv3//Jvt36dJFklRdXd3m5Wivaaempka6PR5Pi8YJl2s4bmuVlZWpuLhYkjRixIgmyzTXf82aNZKkoUOHNjl82LBhkqTCwkJVVla2uY4AAAAAAAAAAAAAAAAAgI5DaBwAAAAAAAAAAAAAAAAA/IwdcMAB+vLLL3X88ccrPz9f//rXv3TRRRepR48eOuGEE/Ttt982GufSSy+VJL388suRfq+99pr8fr9OOeUUZWZmNjmv5OTkJvs7HOZWNtu227wc7TXttLQ0paSkSJLWr1/fonHC5bp3796i8k0JB89ZlhWZ/86aC6ULB+KFA/J2lpOTE+muqqpqcx0BAAAAAAAAAAAAAAAAAB2H0DgAAAAAAAAAAAAAAAAA+Jk79NBDNWvWLJWVlWnmzJm6+eab1aNHD3300Uc67rjjVF5eHlP+8MMP18CBA7V06VKtXLlSUjRAbuLEiT9w7duXZVk67LDDJElffPHFbssHAgHNnz9fkiLjtUU49M627UiA3M6aC3wLh8wVFRU1ObywsDDS3VzwHAAAAAAAAAAAAAAAAABg30ZoHAAAAAAAAAAAAAAAAABAkgkfO+GEE/Tggw/qu+++U//+/ZWfn68PP/ywUdlLLrlEkvTSSy9p5cqVWrp0qbp27aoJEya0W30sy2q3abXG2WefLUmaMmWKKisrd1n2rbfeUnFxsSzLiozXFp06dVJWVpYkafny5U2WWbFiRZP9Bw4cKElavXp1k8NXrVolScrJyVFaWlqb6wgAAAAAAAAAAAAAAAAA6DiExgEAAAAAAAAAAAAAAAAAGklKStLw4cMlSdu2bWs0/De/+Y2cTqemTJmi559/XpJ00UUXyel0tlsdEhMTJUm1tbXtNs2WuPjii9W7d28VFxfr97//fbPltm3bpj/96U+SpHPOOUf77bffHs33uOOOk2SC+HYWCAQ0ZcqUJsc74YQTJElPP/10k8OffPLJmHIAAAAAAAAAAAAAAAAAgB8fQuMAAAAAAAAAAAAAAAAA4Gfs6quv1tSpU1VTUxPT/8svv9Snn34qSTrooIMajdetWzdNmDBB27dv1zPPPCNJmjhxYrvWLTs7W6mpqSoqKtK3337brtPelYSEBE2ePFlut1uvvPKKzjnnHG3atCky3LZtffzxxxo/frzy8/PVq1evyHuwJ2644QZZlqXnn39ezz33XKR/bW2tLr/8cuXl5TU53tVXX620tDR9/fXX+sMf/iCfzydJCoVCevjhhzV9+nTFxcXpxhtv3OM6AgAAAAAAAAAAAAAAAAA6BqFxAAAAAAAAAAAAAAAAAPAzNn/+fJ133nlKT0/X0KFDdcghh6hPnz468sgjVVVVpYsuukhHH310k+NeeumlkqRAIKBRo0Zp2LBh7Vo3y7J09tlnSzLBdaNHj9ZRRx2lo446ql3n05TDDz9cH374obKzs/Xmm2+qb9++GjhwoEaPHq2uXbvq+OOP1/r163XAAQdo7ty56ty58x7Pc8yYMZo0aZJCoZCuuOIK9ejRQ2PGjFHXrl31+uuva9KkSZIkp9MZM15ubq5effVVxcfH6/HHH1fXrl01ZswYdevWTTfffLMcDoeefvppjRgxYo/rCAAAAAAAAAAAAAAAAADoGITGAQAAAAAAAAAAAAAAAMDP2GOPPabrr79eI0aMUHFxsb7++mtJ0gknnKD33ntPr7zySrPjnnzyycrKypIkTZw4ca/U74knntD111+vrl276ptvvtEXX3yhL774Yq/Ma2dHH3201q1bpwceeECHHnqoSkpK9M0338iyLJ144ol66aWXtGTJEvXs2bPd5nnHHXdo6tSpGjNmjEpLS7Vu3Todfvjhmjt3rkaOHClJSk1NbTTeKaecov/973+68MILlZCQoK+//lq2bev000/X3LlzdcUVV7RbHQEAAAAAAAAAAAAAAAAAPzzLtm27oysBAAAAAAAAAAAAAAAAAPjxKS8vV9euXWXbtgoKCpSZmdnRVfpJe/TRR/WnP/1J119/vR5//PGOrg4AAAAAAAAAAAAAAAAA4Afk6OgKAAAAAAAAAAAAAAAAAAB+nKZMmSKv16tTTz2VwLi9LBgM6pVXXpEkjRs3roNrAwAAAAAAAAAAAAAAAAD4oREaBwAAAAAAAAAAAAAAAABotdLSUj388MOSpN/97ncdXJufjhdeeEFz5syJ6VdaWqqJEydq+fLlys3N1cknn9xBtQMAAAAAAAAAAAAAAAAAdBRXR1cAAAAAAAAAAAAAAAAAAPDj8eCDD2r69OlauXKlysvLdfzxx+uoo47q6Gr9ZMyZM0e//e1vlZKSov79+8u2bX377bfy+/1KSkrSq6++qoSEhI6uJgAAAAAAAAAAAAAAAADgB0ZoHAAAAAAAAAAAAAAAAACgxb777jvNnTtXnTt31sUXX6zHHnuso6v0k/Kb3/xGfr9fCxYs0Pr16+Xz+ZSbm6tjjjlGN910kwYNGtTRVQQAAAAAAAAAAAAAAAAAdADLtm27oysBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGiao6MrAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABoHqFxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAPIzQOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZhhMYBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwD6M0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2IcRGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+zBC4wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgH0ZoHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADswwiNAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIB9GKFxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAPIzQOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZhhMYBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwD6M0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2IcRGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+zBC4wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgH0ZoHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADswwiNAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIB9GKFxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAPIzQOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZhhMYBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwD6M0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2IcRGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+zBC4wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABgH+bq6Arsq0KhkLZt26bU1FRZltXR1QEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwE2PbtqqqqpSbmyuHw9FsOULjmrFt2zb17Nmzo6sBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4Cduy5Yt6tGjR7PDCY1rRmpqqiTzBqalpXVwbQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD81FRWVqpnz56R7LPmEBrXDMuyJElpaWmExgEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADYa8LZZ81x/ED1AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC0AaFxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAPIzQOAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPZhhMYBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAwD6M0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2IcRGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA+zBC49BmL730kizL0sSJE2P6b9y4UZZlqU+fPh1SLwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOCnhNA4SJLef/99nXvuuerVq5cSEhKUmZmpgw8+WLfffrsKCws7unoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADAzxahcT9zFRUVmjBhgk455RRNmzZNdXV1Gj58uLKzs7Vs2TLde++92m+//TRt2rQWTzMuLk6DBg1S//7992LNAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgJ8HQuN+xnw+n4477jjNmjVLffr00YwZM1RYWKjFixfr+++/16ZNm3TeeeepqqpK559/vt5+++0WTbd79+767rvv9Omnn+7lJQCwr6sL1KkuUCdvwNvRVQEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA4Edrr4TGeb1eBQKBvTFptKM777xTixcvVrdu3TRnzhydeOKJsiwrMrxnz556/fXXdckllygUCum3v/2tCgsLO7DGAH5MAqGAEu9LVOJ9iRr777EdXR0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH602hwaN3fuXN19990qLy+P9CspKdGJJ56olJQUpaWl6bbbbmuPOmIvKC8v19NPPy1JeuSRR9SjR49myz7xxBPKysqKGWdXNm7cKMuy1KdPnyaHr1+/Xueff76ys7OVlJSkAw44QP/85z8lSX369JFlWdq4cWOj8Twej+69916NGDFCycnJSktL0yGHHKJnnnmGkEJgH1ReVx7pLqst67iKAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwI9fm0LhHH31UL7/8sjIyMiL9brzxRs2aNUv9+vVTRkaGHnzwQb311lvtUU+0sxkzZqi6ulpZWVk6++yzd1k2NTVVF154oSRp2rRpezTf5cuXa9SoUXrjjTfk8Xg0dOhQlZeX6+qrr9b111/f7Hg7duzQYYcdpttvv12rVq3SgAED1KNHDy1atEjXXnutfvnLX6qurm6P6gagfTUMjWvYDQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWqfNoXFff/21jjjiiMjrmpoaTZs2Tccff7y+//57ff/99+rVq5f+/ve/t0tF0b7mzZsnSRo7dqzi4uJ2W378+PGSpDVr1qikpKRN8wyFQrroootUXl6uE088Ufn5+VqyZIk2btyot956S//617+0bdu2Jse9+uqrtWLFCg0bNkxr1qzRN998o9WrV2vx4sXKycnRxx9/rDvvvLNN9QKwdzQMiqvwVihkhzquMgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA/Ii1OTSuqKhI3bt3j7yeP3++6urqdMkll0iSUlNTddJJJ+m7777b81qi3eXn50uS+vfv36LyDcuFx22tjz/+WCtWrFDnzp31+uuvq1OnTpFhZ555pm655Rb5/f5G461du1bvvPOOJOnVV1+NqcuoUaP01FNPSZKeeeYZVVVVtaluANpfWW1ZpDtkh1Tl5fsJAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEBbtDk0LiEhISag64svvpBlWTryyCMj/VJSUlRWVtbU6Ohg4c8uOTm5ReUblmtrMNvHH38sSTrjjDOUnp7eaHg4cLCp8Wzb1uGHH64DDzyw0fAzzzxTPXr0kMfj0VdffdWmugFof+V15bt83a4sq2V/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8CLU5NG7AgAGaOXOmvF6v/H6/pk6dqqFDh6pr166RMps3b1aXLl3apaJoX6mpqZIkj8fTovINy4XHba21a9dKkkaMGNHk8N69eystLa1R/zVr1kiShg4d2uR4DodDgwcPjikLoOP9oKFxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8hLU5NO7yyy/XunXrtN9++2nIkCFat26dJk6cGFNm4cKFzQZ9oWN1795dkrR+/foWlW9YLjxua4WD53YVOtfUsOrqaknaZQBhTk6OJKmqqqpNdQN+1ixr939tsHNIXFldWTtUFgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAn582h8Zddtll+vOf/6yamhqVl5fryiuv1A033BAZ/vnnn2vDhg065phj2qOeaGdjx46VJM2bN0+BQGC35b/88ktJ0n777afOnTu3aZ7JycmSoiFwTWkq9C0lJUWSVFRU1Ox4hYWFknYdSAfgh7VzSNzOIXIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKBlXG0d0bIsPfTQQ3rooYeaHD5u3DiVlZVFgsKwb/nlL3+p5ORkFRcX680339T555/fbNmqqipNmTJFknTuuee2eZ4DBw6UJC1fvrzJ4Zs3b1ZlZWWz461evbrJ8UKhkL777ruYsgA63s4hcYTGAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADQNo69NeH4+Hilp6fL5WpzLh32ooyMDF1zzTWSpBtvvFFbt25ttuz111+v4uJipaenR8Zpi+OOO06S9M4776iqqqrR8JdeeqnJ8Y4//nhZlqW5c+dq2bJljYa/88472rp1q5KTkzVu3Lg21w9AKwVqpZp8ybabHLxzSFxZbVmzk8rLk045RUpJkSZMkDZubMd6AgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwI7fHoXH/+c9/dM4552jEiBEaMGBApP93332nhx9+WPn5+Xs6C+wld999tw466CAVFBRo/PjxmjlzpuwG4U9bt27VBRdcoBdffFGWZenZZ59V165d2zy/Y489ViNGjFBxcbEuuOAClZeXR4a9++67euCBBxQXF9dovAEDBuiMM86QJP3617/Whg0bIsOWLl2q6667TpJ07bXXKjU1tc31A9AKBbOk9/tK/+0hzTxQqljdqEhZXWxI3M4hcmE+n3TaadL770sejzRrlnTMMVJJyV6oNwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP0JtDo0LhUI699xzddZZZ+ntt9/Whg0blJeXFxneqVMn3XbbbXrllVdaNd3PPvtMl156qQYPHqzk5GR1795dp556qv73v//tdtyXXnpJlmU1+bd9+/ZWL+NPndvt1qeffqpjjz1WeXl5OvHEE5WTk6PRo0dr8ODB6tWrl15//XWlpKRoypQpOuecc/Zofg6HQ6+++qoyMjL0wQcfqHv37ho9erT69u2r008/XZdffrlyc3MlSU6nM2bcf/zjHxo+fLhWrlypgQMH6oADDtCwYcN08MEHq6CgQMcee6wmTZq0R/UD0ELeYmnehVJdoXld/o302TFSTWxIaDgkLikuKeb1zu6/X1q+PLbfhg3STTe1Z6WbNnOmdMQR0iGHSK++uvfnBwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAW7Q5NO6xxx7Tm2++qSuvvFJlZWX605/+FDM8JydHRxxxhKZPn96q6f7jH//Qxo0bdf3112vGjBl64oknVFRUpEMPPVSfffZZi6bx4osvav78+TF/nTt3blU9fi4yMjL08ccf691339VZZ50lt9ut5cuXa/v27Ro5cqRuvfVWrV27Vueff367zG/EiBFasmSJzjvvPCUmJmrlypVKTU3V008/rSeffFIej0eSlJqaGjNedna25s+fr7vvvltDhgzRmjVrtGnTJo0ePVpPPfWUZsyYoYSEhHapI4DdWPZnyVcS269uu7T0hphe4ZC43um9JUlldWWNJlVUJN13X9OzeffdPaznbnz6qXTiidLcudKiRdKvfy09+mjjcgu3LtT0NdM1fc10BUPBvVspAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACaYNm2bbdlxOHDhysxMVGLFi2SJN111126++67FQxGA3WuuOIKTZ8+Xfn5+S2eblFRkbp06RLTr7q6WgMGDND++++vTz75pNlxX3rpJV1yySVavHixRo0a1colilVZWan09HRVVFQoLS1tj6aFlikpKVFWVpYyMjJUVtY4XArAXmJZuy8T3lXUFkr/zZXsUOMyKf2kk9dHXnZ9pKsKPYU6of8JmrV+lk4eeLLeO/+9mFGeflr6/e+bnmVmplRS0vSw3QovUzO7uLIyafhwaefdk9MpLV4sHXhgtN+Y58Zo8bbFkqSCGwvUNaVrGysFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAECslmaeOdo6g3Xr1mn8+PG7LNO5c2eVtDLxZ+fAOElKSUnR0KFDtWXLllZNCz8uL774oiRp7NixHVwTAM3a+k7TgXFNKK8rlyT1Su8V87qh119vr4q1zkMPNQ6Mk6RgUJoxI7ZfkaeoyW4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAH4obQ6NS0xMVGVl5S7LbNq0SRkZGW2dRURFRYWWLl2qYcOGtaj8SSedJKfTqczMTJ1xxhlauXLlbsfxer2qrKyM+UP7W7FihZ599llVV1dH+tm2rcmTJ+v222+XJF111VUdVT3g58m2o3+765//XosmWReokzfolRQNjSurK4sp4/FICxe2vdptFQhIr7zSsrK2bavQUxh5XVhduIvSAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADsHW0OjTvwwAM1a9Yseb3eJoeXlpZq5syZOvTQQ9tcubBrrrlGHo9Ht9122y7Lde3aVbfddpuef/55ff7557rnnnu0ePFiHXroofrmm292Oe4DDzyg9PT0yF/Pnj33uN5orKSkRFdeeaUyMjLUv39/jRkzRtnZ2br44otVV1enK6+8UieffHJHVxNAU2xbKmlZyltZbTQgrnd6b0lSeV15TJlFi6RgMPrasqQLLpBGjdrjmu7S7NlSQUHLylb7qlUXqIu8LvIU7Z1KAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwC20Ojbvuuuu0ZcsWnXXWWcrPz48Ztn79ep1++umqqKjQddddt0cVvP322zVlyhQ99thjOvjgg3dZdsKECbr33nt10kknafz48brmmms0Z84cWZalO+64Y5fj/uUvf1FFRUXkb8uWLXtUbzRt6NChuummmzR8+HBVVFRo2bJlsm1bxxxzjN544w3985//7OgqAmhO9TrJFw2DU9pg6Yj/Svtd06how4C4Xum9GvWTpPnzY8f5wx+kKVOkBQtMeNze8vnnLS+7c0gcoXEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgI7gauuIp556qm655RY9+OCD6tWrl5KTkyVJXbp0UUlJiWzb1u23365f/OIXba7cXXfdpXvvvVf33Xefrr322jZNo0+fPjr88MO1YMGCXZZzu91yu91tmgdarkuXLnrooYf00EMPdXRVALRW2dfRbsspHTZZyjxY6nGK5EqWtrwVGRwOiEt0JSorKUuSVO2rlj/oV5wzTpK0fn10cj17Svfea7qdTunvf5fGjt07i/Hll7GvTztNOuMM6emnpUWLYocRGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2Bc49mTk+++/X7NmzdJJJ52kpKQkOZ1OhUIhTZgwQR9++KHuuuuuNk/7rrvu0qRJkzRp0iTdeuute1JN2bYth2OPFhUAULst2t3rPBMYFzb8Hil1YORlODQuPSFd6Qnpkf4V3opId35+dPSzzpISE6Ov09OlP/yh3WoeEQxKixdHXw8cKE2eLF18sfTFF9KIEbHlCY0DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOwLXG0dcfPmzYqPj9dxxx2n4447rj3rpHvuuUeTJk3SX//6V9155517NK28vDx99dVXOvbYY9updgDwM1VbEO3ufnLsMGe8NOyvkZdldWWSpHR3utLd0dC48rpyZSVlSYoNjfvFLxrP7qKL9rzKOysqkrze6OuHH5aSk013QoL0/PPSRx9Fhxd6CmPHryE0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADww2tzaFzfvn01ceJEvfDCC+1ZHz366KO64447NGHCBP3qV7/SggULYoYfeuihkqTLLrtML7/8stavX6/evXtLko499liNHz9eI0aMUFpamlasWKGHH35YlmXpnnvuadd6AsDPTsPQuM5jGg/PHhfpLK8rlySlJ6QrJT5FDsuhkB1SWW1ZpEzD0LiDDmo8uYSEPa1wY1u2RLuTkqQTTogdPnq05HRGXxd5TEicJUu2bBVWx4bIAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwQ2hzaFxmZqYyMzPbsy6SpPfff1+SNHPmTM2cObPRcNu2JUnBYFDBYDDyWpKGDx+uqVOn6pFHHlFtba26dOmiX/ziF7r99ts1cODAdq8rAPys1G03/10pUnKfXRYNh8ZlJGTIsiylu9NVVlcW6V9bK5XV58clJ0vduu2dKu9s69Zo9+jRTQfTNQywC4fG9e3UVxvKNkReAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADwQ2pzaNwRRxyhBQsWtGddJEmzZ89uUbmXXnpJL730Uky/xx57rN3rAwCoV1tg/id2kyxrl0XLak0iXLo73fxPiA2Ny8+Pls3J2e3k2k3D0LgDDth9+XBI3JCsIZHQONu2Zf1QFQYAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQJKjrSM+8MADWrlype666y4FAoH2rBMAYF9UVx8a5+6y26LhcLhIaFz9/7I6Eya3c2jcD2XLlmh3z567L1/oKZRkQuMkqTZQK4/fszeqBgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAs1xtHfGhhx7S/vvvr7vvvlvPPvusRo4cqZycHFmWFVPOsiy98MILe1xRAEAHCvklb7HpTsjebfFyb7kkKT0hPeZ/OEyuqChatsvuM+jazdat0e6WhNUVeUxFh2YPjemXEp/S3lUDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKBZbQ6Ne+mllyLdBQUFKigoaLIcoXEA8BMQqIl2u3cfGldWWyZJSnenx/wPh8Z5vdGyLQlvay/5+dHurl13Xz4cGtcrvZeS4pJU469RYXWh+nXqt5dqCAAt8832b3T19KslSScNPEm3HnFrB9cIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAe1ObQ+Py8vLasx4AgH2Z7Y92x2futng4HC49IT3mfzhMzt9gcmlp7VPFlvB4ot27C40LhAIqqSmRJGUlZSk7KVubKjZFguQAoCOtKFqh+VvnS5KS45MJjQMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPiJa3NoXO/evduzHgCAfVnQF+12xEe7F1wqFX0efX34W1LmwZHQuIyEDPPfbf6Xe01/X4PJudq8J2q9hvPt1GnXZUtqSmTLliRlJ2crKymL0DgA+4wNZRsi3etL13dgTQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPBD+AGjegAAP1q2P9rtiIt2ewslz8bo66BXklRWVyZJSnenm/8J5n84TM7fYHIdFRoXH998OUkq9BRGurOSspSdnC1JhMYB2OtKS6XHHpPWrJG6dJEuuEA67LDYMg1D4zZXbJY/6FecM04AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD4aXLs6QRee+01HX/88erSpYvcbreys7N1/PHH67XXXmuP+gEA9gV2KNpt7XrXYdt2JBwuHBYXDo8L9+8oDUPj4naTrRQOh0tzpyneGa+spKyY/gCwN7z3njRsmHTvvdK0adLTT0tjx0rXXivZdrTc+rL1ke6gHdTmis0dUFsAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD8UFxtHTEUCuncc8/VO++8I9u2lZiYqNzcXBUVFemTTz7Rp59+qrfffltvvvmmHI49zqYDAHQkq8Huwg7usmi1r1qh+pC59aXr5XK4IkFrZbVlkqT4+Gh5v799q9pewnXOTsqO+V9UQ2gcgLa58/M7VRuoVWp8qm4/8vZGwz/7TDr11KbHfeYZ6fHHJVf95nhD2YaY4RvKNqh/Zv9G49X6a1VWZ7a96e50Jccn79EyAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoGO0Oc3tqaee0ttvv63x48dr/vz58ng8ysvLk8fj0YIFC3TkkUfq3Xff1VNPPdWe9QUAdARHXLQ7FNhl0fK68kj3b9//rY548Qg9Mv+RmGFxDSb3Q4bGtSasLhIal2zC4rKSsiRJhdWFe6VuAH7aSmtLdfeXd+v/5v2f7ph9hzw+T8zwYFC66qqWTavWX6ttVdskSb3Te0tqHCIX9s8l/1T3v3VX97911/1z7m/7AgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKBDtTk07qWXXtKgQYP08ccf65BDDokZNmbMGH300UcaNGiQXnzxxT2uJACggzUMjQvW7rJoWV1Zs8PCoXENw9sqKvakYq3TcL4+367LhkPjwmFx2UnZMf0BoDVWFa2Keb16x+qY19OnS2vXRl+PHSt99pn0/vvS8cfHTiuvPE+S5LScOrzX4ZKk9WXrm5zvyqKV0e4dK5ssAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgH1fm0Pjvv/+e5188slyuVxNDne5XDrppJO0Zs2aNlcOALCPcDRIW/MWx/ZvOEzRYLimeINe1fprlZAQ7VdY2E51bIGGoXFlzWfbSZIKq03FwmFx2cmExgFou1U7Vu3y9cyZ0e6xY6XZs6Wjj5ZOOkn68EPp97+PDt9QtkGS1COthwZkDojpt7MVRSui3YUrmiwDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAfV+bQ+Pi4+Pl8Xh2Wcbj8Sg+Pn6XZQAAPwKuZMkRZ7q9O6L9j/iPNGFZTNFdhcaFh3ftGn1d9ANmsCUnR7u3b9912aIaU7FwaFxWUpYkqbimWMFQcK/UD8BP18qilbt8vWRJtPv226W4uOhrh0N6/HHJ6TSv15eulyT1yeijPhl9JDUdGheyQzHhdHnlearyVrV9IQDgx8iyWvYHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPu4NofGHXjggZo2bZq2bdvW5PCCggJNmzZNBx10UJsrBwBoH69884p++95v9dv3fqsVhStaPwHLISXkmG5v8S6LltWW7XJ4eV25unePvi4sbFkV3vv+PQ3/x3AN/8dwPTj3wZaNtJOG891taJzHhMb5gj4tL1yu4hqz3LZsldSWtGn+AH6+wiFxgzoPinktST6f9M03ptvlkn7xi8bjOxzRTKNwQFzD0Lj1Zetl23bMOBvKNqjGXyOH5VBqfKokafWO1e21SAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPgBtTk07sYbb1RJSYlGjRqlRx99VEuWLNGWLVu0ZMkSPfLIIzr44INVWlqqP/7xj+1ZXwBAGzyz+Bm9sOwFvbDsBU1fO71tE0noZv57d+yyWHld+S6Hl9WVKTc3+rqwUNop56hJH6//WCuLVmpl0Uq9v+b93Y/QhJ49o90tDY17fOHjGvnPkTp96umRYYXVLUy6AwBJtm1HQuJOH2y2Jat2rIoMX7XKBMdJ0uDBUnz8rqe3vmy9pNjQuEpvpUprS2PKhefZv1N/7d9lf0nSiqI2BIfihxP0Suv/Lc27QJpzuvS/66T896VQsKNrBgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOpirrSOedNJJeuyxx/TnP/9ZN910U8ww27blcrn0yCOP6KSTTtrjSgIA2q7WX6ulBUsjr+dtmde2CSV2Nf9r8qVQQHI0vQvZXWhceV254uOl7Gxpxw6prk7auFHq23fXs5+3NVrvJduWyBvwyu1yt2IBpB49ot1btuy6bDg0rrXDAGBnRZ4ildSWSJJOH3K6HvzqQW2t3KryunJlJGSosEEO5eDBu5/ehrINkkxoXI+0HnJaTgXtoDaUbVDnpM6RcisKTUDckOwhyk7K1vyt8yP9sA/a/pk0/wKpbqdg0jVPSb3Olca90TH1AtqTZe2+TEvShFtj5+mF69De8wEAAAAAAAAAAAAAAAAAAAAAAAAAAACAvazNoXGSdP311+uUU07R5MmT9fXXX6uyslJpaWk68MADdcEFF6hfv37tVU8AQBst3rZYgVBAlizZsjVvyzzZti2rJaEdDSXUh8aFvFLVWil9SJPFyurKdjmZcKhc9+4mNE6S/ve/xqFxFRVSerrp9vg8+mb7N5KkeGe8fEGflm1fpkN7HNqqRejZM9r99dfNl6v2VavGX9Ps8EhoXEcEnwD40VlZtFKSlJGQoVG5o5QUl6Qaf41WFa3SuF7j5PFEy4a3e80J2SHlledJMqFxLodLPdJ6aFPFJq0vW6/R3UdHyq4oMgFxQ7OGKispy9Rlx8p2XDK0m+o8ac4pUqB+ZXBnS2mDJc9GqWaL5Nv1vhUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPz07VFonCT17dtXt99+e3vUBQCwF3y1+StJ0nH9j9PneZ+rpLZE35d8r8FZg1s3ocRu0e4dc5sNjQuHwjWnrNYE33TvHg1u+/hj6ayzYsv961/STTeZ7sXbFitoB5WdlK2Duh2kWetnad6Wea0OjevRI9q9ZIlUWyslJsaWWbRIytqvaJfTiYTGAUALrNqxSpI0JGuIHJZDg7MGa2nBUq3aYULjGmZL7i6LsqCqQHWBOkkmNC78f1PFJm0o2xBTNhxWNzR7qDondZYkrShc0Q5LhBZrabjod49EA+OG3CINv1NyJphhO+ZK22a0bnrAXmbbzayOVWulvFelghmSt1SKS5MyhkvdT5V6nrHX6uMNeGMCOvtn9t9r8wIAAAAAAAAAAAAAAAAAAAAAAAAAAACAjrLHoXEAgA7mq5C8RZLlkhJzJac7ZvC8rfMkSeN7jVdZbZkWb1useVvmtT40LqFrtHvLW9KAy5ssFg6NO7L3kbpw+IWR/vfPvV8byzdGhnfvHh3n7bel+++XOptMI23dKv3jH9HQuHlbzDKM7j5aB3c7OBIa98fD/tiqRWgYGldTI82aJZ12WrTf/PnSZ59Jx+S2MDSuuaSnZgJ7vF5pzhzzV1oqJSVJgwZJxx0n9ezZqkXBT9icTXN05rQzJUkju47Uxxd/3ME1wp4KBxmFt7vh0Lhw/+TkaNnq6l1Pq2EwXH5lvoo8RUqMM+mX60vXR4Z5A16tKVkjSRqSPURZSVmSpB01O1RYXaiclJw9W6ifu/YMb7Ntadt0050+XBp5f3T6liV1OcL8AR3ou++kyZOl996T1qyR/H6pa1fp0EOlG2+Uxo6VtO5f0pJrJDsYO3L5N9LGydLZ1a1uO0lSXp40e7ZUUiIlJEgDBkjjxkmpqdEy7695X2e/ebYkqXd6b+VdnyerJd9TAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPgRaXNo3N/+9jfdf//9Wr58uXJzcxsN37Ztm0aOHKnbb79d11133R5VEgCwk1BQWv+sCeAoni+pPmjDckqZo6TRz0qdRihkhyKBa4f0OEQF1QVavG2xvtr8lS498NLWzTO5T7R7+0fSlrelnmdK/sqYYmV1ZWZ+3Q/R5QdHg+XeWPVGTGjcoEHRcUpKpOuuk6ZMMYFJF18sVTaY7Pyt8yVJY3LH6ODcgyP9bNtuVSBITo7kdpvwNkn685+lY4+VUlJMiNzll0vnn98gFK4Zuxu+M9uWHntMmjRJqqpqPNyyJI9HSkxs1WTxE/XGyje0o2aHJOmTDZ8oryxPfTv17eBaYU+s2rFKkjQka0jM/3D/zMxo2bVrdz2t9WXRYLjDXzw8ZtiG8mig3LfF3ypYH9w0OGuwkuKSlBSXpBp/jVYWrTShcS3dfrY0/AyNtSQgq3KN5NlkunN/uevPpQ2BW8Ceeukl6YorTFCcZIJ/u3eXtm2T3nlH6tNHGjvkG2nx1ZJsKXU/acR9UpejpGCtVDxPWvfPVs93+nQTILx6deNhCQnSxo2mbSdJb61+KzJsU8UmLdm2RKO7j271PAEAAAAAAAAAAAAAAAAAAAAAAAAAAABgX+Zo64hvvvmmRowY0WRgnCTl5ubqgAMO0BtvvNHmygEAmmDb0vwLpSW/MyEcmQdLg/8sDb9L6n2+VL1e8pjgoDUla1RaWypJGpU7SmO6j5Ekzds6r/XzzTw49vWiy6VFV0pfnR3TOxwKl5GQEdM/3Z0uKRoqN3Zs7ORee00aPVrabz9p9uyGi2tHgu/GdB+j0bkmAGRb1TZtrtjcqkVwOKQxY6Kv162TzjtPeuEF6YgjpFUmv0mF1YWmvOVQt5Rukb+kuCQz3FPYqvk+9ph0440mMK53b+nFF6UVK0wIyuuvSyec0KrJ4ScsEArorW9N8E2v9F6SpDdXv9mRVcIesm1bK4tWSpIqvBX6cO2HqvKa9Mhw//33N9snyWwXgsHmp7ehbEOLhq0oXCFJ6prSVcU1xdpcsVm903ubYUUrwpWL/YtWuun+iGru/WnL+1ZXEO1OHxbt/t/10txzon87hbQCP4SNG6XLLjOBcenp0syZ0pYt0sKF5v+KFdIxx0ja8IIiIcZHzpB6nS0lZEvJvaTe50m/+FxyJrV4vu++K518stkmpqaa4N2ZM6XPP5eefFI64AApEDBla/21+mDNB5IUaes2DJEDAAAAAAAAAAAAAAAAAAAAAAAAAAAAgJ8KV1tHXLNmjS688MJdlhk2bJimTJnS1lkAAJpSPF/aPNV0D7xeOugxybKiw4M+KeiRJH21+StJ0uCswcpIyIgEaXxX/J1KakrUOalzy+eb0EVK6iXV1Ae1+cqk9c82KhYOjUtPSI/pH34dHn7ggZLbLXm90TJLljSebcPgu9HdRysrKUu90ntpc8VmzdsyT70zerd8GSSNHy/NmRN9PX26+WuoyFMkSRqZM1JLr1wa6X/X7Ls06YtJkeEtUVsrPfig6Y6Pl776SurePTp8yBATXIefvlVFq3T0y0dLkpLjk7XsymWNwhW/2PiFijxF6pLcRXeMv0O/ff+3mrpqqm4ad5Mp0PC7visEfe0ztlZuVaXXhH3dN+e+mGFFniLt8OxQdnK2hg0z4Uu1tdKiRdJhhzU9vV2Fxm2p2CJvwCu3yx0JpNtevV19n+gbUy4cKId9hB1q0B2Idhd8KFWtjb4e9YwU98NVC5Ckp56SQvWr6F//2jjodv/9zZ/eM6Ft6nyIlDrAdPurpIAnWjguTXLtPjguFJJuvTW6K5s9WzrooOjwo46Srr02+nrmupny+D3qm9FXt4y7RWdMO0Nvrn5TDx77oKyW7jcB/GDy86X586Vly6TiYvNdz8oyx0Unnmi694b3v39fV02/SpLUv1N/zZ44Ww6rzb+lAQAAAAAAAAAAAAAAAAAAAAAAAAAA0CHa/HRkTU2NkpOTd1kmISFB1dXVbZ0FAKApG1+Jdg+/04RIBWpMsEzVWqlmkxSskyR9tcWExjkshx6c+6De+fYdWTLhGfO2zGv9vLMP322RstoySWoUhpXhNq/DoXFut3Tkkbuf5fyt8015p1sPzHlAN866sdGw1vjFL3ZfJhwKl5UUm1gQft2a0Lh586QdO0z3CSfEBsbh5+W+OfdpR80O1fhrtLF8o55e9HSjMlNXmUDIUwaeolMHnyqH5dDSgqVaV7rOFLDt2L+w5vrjB/Htjm+1tGCplhYsVSAUiBm2aseqXY4bHj5qVLTf//1f44/xySelQEBaX7a+2WnZsrWpYpMkaUVR88FwK3es3GWdYMxaN0vPLHpGzyx6RmtK1uy9Gbmzo901W6Pdvc6Vuh6/9+YLtMCCBdHuE0/cRUFfifmfmBvtt+o+6d1u0b+Nr7ZonitWSN9+a7rHjIkNjAuzrGiO6lvfviVJOmXQKTq+//FKcCUorzxPy7Yva9H8APwwqqulCy+UevaUzj5b+s9/JJ9PSkyU8vKku+6S/vvfvTNv27Y16YtJ2la1TeV15ZqzeY7++91emhnwM/XV5q/0+ILH9fiCx7Vg64LdjwAAAAAAAAAAAAAAAAAAAAAAAAAAaBNXW0fs3bu35s3bdeDQ/Pnz1aNHj1ZPu7q6Wn/96181bdo0lZaWavDgwbrlllt03nnn7XbcoqIi3XTTTfrggw9UU1OjkSNH6t5779UxxxzT6noAPzu2LXmLJX+5FPBIjjgpPlNyd5Eczr0225ISaf16qaLCPEgeHy917iz17y9lZ+9+/J8db6n570yQ4jJMd/F86fNjo2V6nikd/lYkGG71jtX6y6d/iZnMvC3zdPKgk1s37x6nS5tea3ZwIBRQla9KkpTuTo8Zlp5gXpfVlUX6XXCB9NFHu55leBm8Qa/+tuBvTQ5rjSOPNMFt+fnNlymqMaFw2cmxK2D4dWtC47zeaHdKSsvriZ+WNSVrNHXVVCW4EvTm2W/ql6/9Uo8teEzXH3K9Ut2pkiR/0K93vn1HknT6kNOVlZSl8b3Ha/bG2Zq6cqpuG39bRy4CmrEof5EOe+EwheyQJOmhYx/STeNuigxfWbTrgLaVRSt1VJ+jdPTR0osvmn7/+Y/0m99IDz5o9otPPSU9/bT0u99JG8o2SJKuHnW1xvYcK8kEoVz63qUKhALaULZBAzsP3GVo3KqiVQrZITmsNudH/+StK12nU984VUE7qEAooNG5ozX/svly7o32UPpQ09byFknbpkv73276j7hH2vpfaftudpTAXuRqcMbA59tFQXeW5K+UarZE+6UNkbqfIuW/16p51tREuzMzd122LlCn979/X5J06qBTlRyfrGP7HasP1nygt1a/pYO6NZE4B/yY+atNSLivXArWmmNCd7aU3Nt0t6dwMuPuNEi69Qf9CtpBSVK8Mz6mrXHjjdJr9YeSDz0k/fnPsbOw7d1sZ/bAjLUztLRgqXqn99bt42/Xb9//re758h6dNvg0WS1dzp+pggLpq69MsF95ueTxSAkJUpcu0ujR0hFHdHQNsS8orS3VGdPOUHFNsWzbVrfUbvr2mm+V5k4zBdqwPQEAAAAAAAAAAAAAAAAAAAAAAAAANK3NoXEnnXSSHnvsMf373//WpZde2mj4888/r7lz5+r6669v9bTPOOMMLV68WA8++KAGDhyo1157Teeff75CoZAuuOCCZsfzer065phjVF5erieeeEJdunTRM888owkTJuiTTz7RkUce2eq6SCbIKi/PhHaEH2BPSZFycqQ+fSTn3svSQhtUV0vffSeVlpqHWf1+KTHRBA4MHmzCyDqSzycVFZl1qbbWBDGkppr1ye1u3XRWrZJWrJB27DDL7fWah3czM6XDDpMOPriFE6v4Vlo5SSr8XIpLl7IPN2FxdlCqKzQhJr/4tC2L2yzblh59VHr2WWntWmn8eOnww03dg0GpsFAqK5P+/e92nW3HqtkqlS0z76m/Sgr5zYP98ZlS5kEmNKYl0gab/8E6qWqNlDZISh8mHTZZWv2QVGGCgoprivV9yffNTuarLV+1fhlyT5RcySZUcGdxGap050ZeZiRkxAwOh8iV15VH+p1+uvT730tVVY0nF36meFfBcF9v/1oen0fJ8cktXgSnU/r1r6UHHmi+TDgULjtpp9C4+tcev6fF8z3oIBOE6PNJH39svqet+a7jp+H+OfcrZIc0ceREnbjfiTqy95H6YtMX+vviv+vmw2+WJH2W95lKaksi5R+Z94jWl66XJE1dtZdC40J+aeNrUuFnUvlyE/rjSpQslxkW8kuH/FtKyt39tH6GvAGvLv3vpQrZIT0x4Qnd9tltuuPzO3TqoFM1KGuQpGho3JG9j9QNh94QGfeReY/oqy1fRYafc44JTyksNMNffdX8NVTlrYpsn84Zdo6O6nNUZNids+9UXnme1peuV3ldubZWbpUk/fWIv6pXei9JJrTz5k9ulsfvUV5Znvpn9m/vt+QnwbZtXfXBVfIGvfq/4/5PH6z5IPJ9/f0hv2//GVoOqdsEaeMrUslCKe9Vqc9FLQ/XaDS9lodybNggffqp9PXX0vbtZtS4ODPY6ZR++UsT8NoqgRrJs0kKVJtAI8slxaVKCV2lBNKAf2yOO0768kvT/eab0oEHNlMw92RpzRNS2VKpfKWUsb/U7zfm7w2nVB+s2RJDhpjj7epqae5c87+54N2P1n8UCSy+/P3L5XQ4tcOzw9R39Zu67xf3tS4QqmSJCWosWyYFayRn/T7RDpr/+//VtLuBH1r++9Kqe6XSpVL2EVLmKCk+3RwT1uRLTrc0+h/tO8+dw5vC36VmQp0Kqgp0yPOHaGvlVtmydeaQMzXt7GmR4Lg33oiW/f3vG++uLKttx0lvr35b1828TpIJqvvPuf/RAV0PaLAYtu758h5J0h8O/YMuHnmx7px9p5ZtX6bpa6frpIEntX6mPwNlZdJ555mQ95QU6dprpUMPlTp1Mse2W7aYc1INQ+Omr5mudaXrJEljuo/RYT0P66Daoz2V1pZqY/lGSVLnxM7qndG7UZlbPrlFRZ4iXTP6GtUF6vTCshf018/+qidPfNIUaOX2BAAAAAAAAAAAAAAAAAAAAAAAAADQvDaHxt1888164403dPnll2vy5Mk67rjj1L17d+Xn5+ujjz7Sl19+qdzcXP3lL39p1XRnzJihjz/+OBIUJ0lHH320Nm3apD//+c8699xz5Wwmpe2FF17QypUrNW/ePB122GGRcUeOHKmbbrpJCxcubPVy7r+/tG2b9JvfSOPGSVlZJkBh0yZpzhzpsstMP3S8Dz+UbrpJWrlSOvJI6cILpd69TYhaba20bp0JIxs/vhUTtW3JVyJ5S8zD2CG/ZDklV5Lk7mzCdVqgulq6+27pgw+kggLprLOkESNMWJxtm4dxy8tNmZb473/NuldSIp14onTDDdKAAVJysgmk2r69/rnLlgQkBP3Sp0eZYLiux0lHfig5nFLRF1LVWkn7m3KeTVJy4wdD2+rf/zbhOJJ09dXS3//efNk1a6T586UNG6S6OhP8F94MBIPmcz73XLPcy5eb72dlpSnjdJq3wbKkMWOk0aPbbRFarna7NPdMqXie1OUoadANUudDTAhFsNYM95W2fHoDrpBW32/CKxZeJo17Q0rqIfW50ATN1IfGzd8yX5KU4ErQ57/5PPKw/sKtC3XdzOu0eNti+YI+xTvjWz5vV7I07K/SN01s20fer3LbEXmZnpAeMzj8umFoXFqa9PDDZh3Y2eWXm7Krd6yWJE05Y4pG5IyQJPmCPo1+brSCdlBLti3RkX1aFwp6883SlCnS5s07LZ5LOvlk6fW5JrWpUWhccvR1kadIfeP77nZeXbuafchzz0nFxSYY6umnpZ49zfDCQumVV6TrrjMhCV6vtHWrCb6sqzMP5DudUlKS2d/069eqRcU+YEPZBk1ePlmS9H3J97ronYsiATePzn9U1465VsnxyZq6ampknJ1DHVcUrdC3O77VkOwhrZq3N+DV3V/crbzyPNmyNSRriP5y+F8U56xPhVp4mbTxVbM/O26elLqfCbisMmEPsoMmNAdNum/OfVq1Y5VO6H+Crhl9jfxBv/708Z906XuX6suJX8rpcGrVjlWSpKP6HKXTBp8WGXdR/iJ9teWryHC324SpXnRR8/PLK8+LdPfNiN3+9Mnoo7zyPG0o2xAJopOkG8feGAnxDIaCuuPzO+QNerWyaGXrQ+NCfslbXN8m8kmyTPhpXJoJnZWk8hVS9Vqzb7MDpt2k+vZIYlep55mtm2cHmLx8sj7N+1Q903rq3GHnakTOCH2x6Qvd+tmtOn3I6eqR1qP9ZzroBmnTZBOsteDX0tq/S2lDpNIlrZ9WC0M5nntOuvJK0/vSS6UnnpB6NFi02lrTRm2xvFdMeG3NZqnvRKnTgSbQyA5JFWVm2zKihY3dvWhR/iKtKVkjScpNzdUv+v6izdMK2SFNXzM9sk0fnTta+3Xer13qua+46irpwQdNGPf//Z+UnS1NnGhCgyorpZkzzbBLTrtUWvuU+bznnC6NuMcEUfvKWx0Ik5Fh1s1HHzXHUeecI/3jH6bNL5n5vvGGOaZ6a/VbkfHWl62Pmc660nVaXrhcI7uObNmM1zwl/e86SZZ0+FtS95PN9q66ftsbaCLlGGgPdsgEi9ftkEINzjs4E03AeMhrvld2UBpys3TAg2a8ja9J3h3R8xK+CrPdlbS0YKlmrZslSUqMS9TlB13eqqDt1qrx1+iUN07RlsoteuW0VzRj3Qy9sfIN3frprXrwWFPfMWOkTz4x5WfPNucydmd79XaF6kMnu6V0axQCOXfzXF34zoXKSsrSP0/6p85+82z9csovteC3CyKhuR9v+FgL8835wC82faH/FfxPiXGJkqR7vrxHv9rvV60Ll/yZuO8+ExgnSfffb4L+duWfS/6pq6dfraP6HKWCqgLd8ukt+u95/9Xx/Y/f+5VF67Rkfa/fd68vXa/jJx+v4ppi9UzrqfVl6zXtrGk6edDJkaJzNs3Rc0ufU3Jcsq4edbUCoYCmrJiipxc9rYtHXKzR3Vt5Is62zTFHXWH9cYc3uk2MSzfnJlv6na0tkApmmR9cCPnM9tKqvxwS8kvJfaQ+5zdZhUBAcjj4sRgAAAAAAAAAAAAAAAAAAAAAAAAA+542h8ZlZ2fr888/10UXXaTZs2dr9uzZsixLdv1DZWPGjNHkyZOVnZ29mynF+s9//qOUlBSdffbZMf0vueQSXXDBBVq4cKHGjh3b7LiDBg2KBMZJksvl0kUXXaRbb71V+fn56t69e6vqs2WLCeh5+GETVLWzVj7/jp34/VJRkXnwv7bWvJ/hgC/JBAb0rc9EWVe6Ts/97zk5LIcCoYDinfG64uAr1DvDpAc8+6wJjJNMiNpppzWeX4s/r2CdNO9CaftHUsYIacifpcQeUvly89BioEoKeqX9b5fiM3Y7uU8+MSELknTmmSYgLS6uhXVpwldfmcA4yQTkHXNM7EOMvXqZhxtjFrjhA5UN+9u2lHmwVPChCQkqWypljjIPp7tSpHn1D08e8W67hsYdeqgJndixQ/riC7NMhxxiQrsksz5s2GDeuxtuMP1uvtk8rLzzA5uhkPSXv5hAC8kETFx+uQkkC/P5zDQ7RPU6qWSR6e52otT9FPN5fH2zCYMpmi053NKEr6V1/5QqVpuglYz9JUdcffBOyIQEZB4k5RwtjXlOWnylVPyV9F5fKaW/Ce6pWBWZbTh06qBuB+nQHodG+vfN6KvrZl6nukCdlhUs0yE9Dmnd8gz6o7ThJanq+2i/vhOlAVeprGBppFe6OzY0LhxaVF5XrpAdioTYXXGF9Oab0mefRcsecoh0xx3Sl1sXypYtp+XUaYNPU1JcUqTMsOxhWlG0QvO2zGt1aFx6uglqO/ro2K/Do4+aQMeiWUWSYkPiJCkrKRoUWeQpUt9Ouw+Nk6S//c0ERn7wgfTee+avSxfzAPL27abM2LHmQfyvvzbdt91mvstJSaaO1dUmxLS9Q+OKi6VvvjH1CAZNyF1CgllFbdt8v/r1M3VB2zww5wEF7aCGdxkeCfo6IOcA7fDs0JbKLXr2f8/qmjHX6D/f/UeS9NKpL+mUQadExj/u1eP0v4L/adqqabrzqDtbPN8NZRt09ptna0XhCj39y6dV46/Rnz76k2atn6WpZ001wVdx9RvKcBhYygDJXyFVb5CW3Sj5y6X975CG39Vu78dPxdfbv9YDcx+Qw3Jo8bbF6vJIF0mS2+nWvC3z9MziZ3TtmGu1qshsl4dmD40Zf3DWYEnSyqKVsm1blmXpggvMd/G220yAZEPHHy9trNggSXJaTnVPi23T9snoI8mEJq0oNOGhuam5kW2vJDkdTg3KGqTlhcu1omiFTh18assWdsWdJpTUDkjDbjf7nLrtkidPCnhMuO7gG01AasVKqcuR0iEvmXZD4WdS9XoTHFWySOp0sJTSp2XzbQHbNm3JzZtNAK9tSykp0baCbZtAvgMPbNn0imuK9ceP/ijJBIKN/bc57shMzFRpbal+/+Hv9Z9z/9Nu9Y/IPFAa/ay0+CrzPpcsMH9hid0kp7tdZxl+vyTT5s7MjB2ekGACjlvEtqXlt5vAuOwjpAMfMfXd+l+pZJ60+U1TrvMhUvdftdMSmH3jjBnS99+b78zQoSbMLBwaHAyaNvcxx0gen0d/+fQvembxM/r9mN8rJzlHl/z3Ep019Cw9deJTMfv4llhXuk6XvXeZlhUs06PHP6rpa6frsvcu071H36sbDr1BTke0wVrprdSSbUsiwUdDsoY0+g7vq7KyTPvl3HPNd+2Pf5RuvNGEVVdXmzJ//KOkS0ZIo/9l1uHqddFjiIaslp9+uOce871+800TDt6nj9Stm/k+b95s2ifHTvDqve/fkyS9ceYbOnNoNJRy/IvjNX/rfL21+q2Wh8YFffX1tCRXqgmo8ZWatvraZ0zgTK9zpHFTdzkZQDKbxe3bTVu7osKsVvHx0Ta2bUu9ewWVs/5CKf99KW2QtP8ks++sWmeCNgNVkr9SGni9lDbUhIPv+FKq/E5KHSSlDjSBSF//ycy0+ykKulL00FcP6c7Zd+rkgSfr0gMv1RXvX6G/L/67Jp8xWWO6j2n3ZQ3ZIV38n4u1ZNsSZSVlaWH+QiW4EiRJD331kAZkDtBvD/qtnnvOtGfWrpXOOMME5Y4ZY47bd+yQFi82Ad5nnSWtLVmrP8z6g77a8pWuGX2N/r3s3+rXqZ+eOvEpHdjN7NS/3fGtTnn9FHmDXo3IGaG5m+dqWPYw/a/gf5oweYK+uvQrZSRk6O4vTGDp4b0Oj7SLjuh1hAqrC7Uof5E+Wv+RThhwQru/Lz92F1xgwv7LyqTnn5eGDzfncRISzDZ4+3ZzfDpqlPT3xX/XNTOuUXJcss4Zeo7K68p122e36ZTXT9F/z/tvzPtbUFWg6Wuny2E5VOuvVf/M/jqu33Ex+82fpebO2UnmRxzKl5vjtfjO5hjOCr9fIbN/zR7X8nm15FyhpG+2f6MTJp+gQk+h7j36XvXP7K+rPrhKp089XS+c8oJ+c8Bv5Av6dOUHV0qSUt2pOnGKSYNMd6erMFCoKz64QosvXyyXo4VtgMVXS5tek9xdpJEPSCn9zHauen39cUexNPQWKdmcoKioq9DywuWyZeq+f5f9lZlY36it3ih9MKBB4Ob/meXNe9VM01cq+UqU5z9N9z2UqKVLzXHEaadJOTlmXZfMuWuHQzrnTJ/5HGo21wfQZUuOBht2hczxdNKPo40HAAD2XaGQOfdRUGDO37ndUmKiaZNI5nxXTo7UP3uNtGOuuW6d3KtBQK4lqf6aYpejpdb8cBQAAAAAAAAAAAAAAAAAAACAH4U2h8ZJ0n777aeFCxdqyZIlWrRokcrLy5WRkaExY8Zo1KhRbZrmypUrNWTIELlcsVUbMWJEZHhzoXErV67UEUcc0ah/eNxVq1Y1Gxrn9XrlbZDOUVlZKUl66CFpzRrpwgulHj3MTdlOp7lhu65OuvdeE/wTsauH/FrBtqXSUsnjMWFXwaCZb2KiCXVITm7ZdNaskfLyTChbbq4JUXC5otUMhcyN5RkZ0fmWlEg1NdGwErfbBCylpdnaVLFJdYE6ZSVlKdGVGJlPpbdSFd4KpbnTlJua26K6rV5tgpQ2bZJ69zYPDefkRIcHg6YurswtemrRU/o071ON6zlOx/Q9RkE7qE83fKrTp56ukwaepN+N/p2mTeuqd9+VFi6UnntOeu01E3IQvone75cmTLB1wFEb9eWmL/X19q9V4a3Qwd0O1rrSdaoL1Klfp346ss+ROqjrgXL1uUhKyJa8pVLlGvM/5DN/hZ9KcZ1MSEoLQuNOO808AD1jhvTttyY4rnfv6EPjwaDpfvBBWyE7pJAdki07EqoVskOyZMlhOeSwHHroIUsnnCB9+aW0YIF5sLpLl2jgmt8vjR8vXXZZCz4Iy5LGvydt+0Da/qn0zS0mPMhR/xBBzjFScm8FUwZoXfH3smWrd3pvJcZFP/8af402V2yWJUv7dd4vUu9dGTbMBHy89540f740aZJZ7xwO8xcXJx18sHT77SbEZMECs87cfLNZ1nAYiN9vwqyuu84ESXzzjTRvnlnnO3WKfYhi+HDpmPGV5sF7O2hC8RxxUihgXgfrzETdWSaAbTe8Aa/yyvMkSQMyB8Q8BFvrr9Wmik2SpIFZY+WYsFTa+h+peJ405zTzoK8zXopLN+9xSj8TruJKluJSJMshyTJhcf5KqfxrqSbfhHDkHC31u0TKHi9teVMqmCV5d0gOl9TjNClrnNTrbG3/6DYN6jxIJw44Mabe2cnZOqrPUSqoKtDa0rWtD41zxktHzZS+/rN50Lb3edJ+v5MsS/6QX4M6D5KkmKAiSeqW0i0yrNZfq+R4syFzOKS33zbhIJ9/Lh1+uOlOTDShV4M6D9J+nfeLCYyTpF/t9yv5gj7lV+W3rv71jjxS+vhjE0To80nXXmsCUUJ2SFlJWcpMzIyEMIVlJWVFlyHQ8hTClJTouv7BB+a7W15ulvGYY6QTTjBhdddcY7ZhpaVmm7FlS/R7HQyah5YPP1yqqjJ/Pp/5LoS36+FnlePjzXY9EDDbecsy73N429/w/4wZJpyxsFA6tT4/Krz7ijz73AY1NSZgwOutD7GUqVdystk2N9xd+nymbFWVWZasLPOexbBDJnTKX24qFZda/xCUQwVVBarwVig1PrVRCE94WJo7Tf6gX7WBWnVO7NwoEHBT+SbVBmqVlZSlKm+VvEGvuiR3iT5wLsm2ba0pWSNbtnqm9Yysw7tSWluqhfkLNajzID138nMx37fXV7yuu764S++teU+ju49WTnKOclNzdcaQM5TqjiY1TTxgoqp91fq68Ovdzi9sWcEyXT39arkcLj154pNyWA6lxKfoyROf1L+X/VvnvXWenj35WQ09+Ekp91cm2GvFnZIss/2znFKnkVJCNylrnNaUrFHIDql7aveYuknS9/X7hh5pPZQSv/MH11h4nyFJgzoPktVgZfD4PNpSuaXJYe3J5zPfQY/H7EfcbvOdSU+XVDhbKvxE8pVJnQ81YQBBj+SrMCFpsmT3PEsPf/Ww+nfqr8sPulw3jr0xMu35W+brkv9eope/eVlH9zlavdJNoMHwLsNj6jAyZ2Rke1JSW6KspCxZlglj+tWvTHDmmjWmbXTBBSZYZfKKCg3qPEi5qbmNghcO6naQ5m2ZJ8msd4M6D2py+350n6PlDXhVXlfe8jes6/GSv8oEJNRtN+uH7TehSvnvmf1p9TppzLPSlndMqMO6f0oJXc2+KeAx+0B3Z7NPayC8PaupMa9TUsw2ILztC4XMZ1VdbT6rQCDaTkhONiFWTz5pHqQMtyebWm08HrNt9fvNtjc1NdpGCJd3OKR/LfmXOid21kkDT9KLp74YGb+0tlTHvnKsvt3xreZvma/Deh7WeCZ7qv9l5r3+/jFpxxzTHkvpL3WbIPU+37QP2tGf/2z2hZ98Ii1bZtqTmZmx7cnjjpOuvLIFE7Ms6YQlJuSj9H8mQDCpV317MiQl5kqJ3RRK6KK19duMXum9Yvbt4bZTw/Zkba1p09XUmP1gMFif5+Uy31u/X1q+3LQp09NNaFxYOIxakvLK8nTth9cqvzJf9//ifqUnmGDbh499WFNXTdWZ087UExOe0AFdDzAjhIM0g3Wm27JMwK8rWYrL0MwNH+vWT29Vl+QuuvcX9ypoB3VC/xM0vMtwPb/sea3csVKPHveoNlVs0rRV07Rs+zL179RfEwZM0IKtC/TEwifUNbmrzhl2jsb2HBvZ7vXv1F9xzmiy9K7amvJXmu1UyCe50sw+sanAHX+VVFdkvrcJOVKDY7iWOuoosz2aMcO0Z9asMfv3rl2lww6TJk6sL9j/t6Zdm/eKtH2WqWN8JyljpNTjdCnnFy2eZ2KiNG2atGiRNH26NHu2OTZ0u03I1LHHSlsDS9U1pau6p3XXL/f7Zcz7c9GIi1RaW6rlRctbvqBDbpQ6j5IKPpK+/5v5cyVLVpyU1ENKH2YCoFtobclaBe2guqV0i6xzYZF9Z2oPbaveppAdatS2qAvUaWP5Rlmy1Cu9V+TYol+nfopv8MB3RV2FCqoL5HK4NCBzQMuXt53Ztvm+VlWZ9SMYNP2cTtMGzMqSttQ03WZoto0VrDPH4cFac7zmiDOfSXwn091Q0GcelA95zXB3g9T/UFDyl5n9Uchf39OSZJsH6l1J2hG0VFJboqS4pMi+O2xb1TZVeiuV7k5Xt9RuLXo/XnxRmjnThMaddpp00EHRYZZl9m/BkFPqd6lpa9RtN6Fw3iKzrJZlQuzjMqRApXT8ArOPLZotLf6d2Q874k3ZbhOklH6qtJ364wdXau7mubpp7E3qltpNG8s36tYjbtWneZ/q0v9eqtvH365z9z9XktmnlpWZfWQgYD4zh8N8XqmpjcNEm/PC0he0qmiVTht8mh4+9uFI++2qg6/SFR9coScWPqHDehymYX2GaeVK6f33TWj8smXmON+2zY80DBkiDRoc0stfv6q/LfibBmcN1r1H36v0hHTdeeSdWpi/UBe+c6GuPPhK/Wbkb/SHWX9Ql+Quevi4hzW2pzlP+OuRv9brK17Xm6vf1C2f3KKrRl2l4ppiDc0eqrfOfks5KdGTTv069dPk5ZM1ddXUxqFx4R1IGw+G8srymjye2OWwyPrukRwJZrve1DbbDplzAyGflNDFHBe1QpW3SvlV+XJYDg3sPDBm2A7Pjsj34KCDemndOnP8OmeOdN99pk0WCpn1JDPTHMcWpc/Qkwuf1NF9jtZfx/9Vzvowsw8u+EC3f367bv7kZnVL7aY4R5xe/PpFLdi6QCNzRupXA3+lDWUb9PI3L+vR+Y/q1yN+rTOHnhltG0T2xbX1+2JXg+9/fPTHHML7aMtpgnftoDnHYznN+RZ/hfnuS9HjHNlm3GCNeZ0SDYOvqDDbMp/PfC+czuh50VpHocrqypQcl6ye6T1j3ruG24mMhAxtq9omW7bS3emRQDx/0K/yunIlxiU22Z5vkh2SNk6WSpeaZe9xqjlfVLVWqs03P0QQfl+Se5tjlpDPvEfh6YcC9cvqkpJ6Nt1e2Mm60nW68oMr1SW5i/52wt8iPwow+YzJemrRU3rwqwfVKbFT5EcBju9/vGZcMCNmWSdMmaD8yny9vfrtyHZnt3pfYD6nmi3mRxH85fXn75KkLW9Lcemyq9Zrcfl2vbnqTa3asUr7Ze6nY/odoy83fRk5Rjtr6Fka2+MwOY/8UNo2Xar8Vvr6pmiQSm2++dEMdxdl9gxqxAjzedfVRb/+gcBO50TKv5HW/cvUrecZJtguWGtCsyu/N3XNGCENu61Fi1paW6oiT5ESXAkx4cWBUECF1YVyOpzqnd5bcaFa06YKBcxn7Ygz74kdNOu3HAol5GhtRf5uz9n2yeijjeUbJZnQcbcrGkpdUlOiHTU7lOBKMOfCAjVm+sE6856Fgwptv1kvnQkm2DoUNMseqDbfVTsoyTLrqSPebKPiO5n6+8slf3V0GrLMeupwm+9ra453GtYv5JfZpztMXR3xZt9a314KBEw7sq7OtFEsy5xfS0uT3MnR9taAzAExAZbhz8jtdCszMbPZ9tb26u0qrytv8pxUc/Ir81Xlq1JGQoa6pnSNGba+dL38Ib+6pnRVSU1JpHvn86ytPRfTUnYT+76GPxbVsN9OPcITaJ+KNDO9Km+VCj2FclpOpbpT5XK4FLJDqvXXqtpXrU6JnZSVmKUN5RsUCAWUm5qrNHf0l2WqfdXaWrlVTsupAZkDZNuWysvNMafPF7020TDot3NXj7ZWbZHDcmhA5oCYax+F1WbfkBKfYn6coTWCdeb6Ushbvx5bZv11JZk2oDNeCtTWr+u1Zj9n3pzodyw+05SX2X813IdJ0WuK2dl79iNGu1NRET23ExdnrsuErzm2p43lGyPXJxtuO0N2SGtL1saea/DXBzCHvPVtg/AJ8frtREIXFddVqKTGtH2S4pJkWZZCdkgen0feoFfZSdlKT0jX1sqtqvXXqlNip5j9d5W3SnWBOuWk5CjDnWbOXQc8kmzJmVg/T8tss0I+yZmoNVtzNXOmOe+flSXtv7/50RiHI7rOZWZKI1uYfa5QUFKo/oXDzFuq386q/qJBg4vCu2DbtrZVbYtsnxoed3p8HtX4a5SVlKVOiZ1UUFWgal+10txpkf1JyA6p0lupYCiobqndlOBKUEFVgWr8NUpPSJe7/scQAqGAKrwVclrOSLl9VTAUVF55ngKhgHqk9Yg5j7XDs6PV33+fL/a6TkJC9PxkmNMpffqpNHWquWZzxBHmmlBDkY+zZKFU9LlZv5J7S3KY87eezZEfq7KDfi0tPEkbNphtRL9+sfcKRELNe8f+EFfzb4pP8mww7U5norlGbjlNezPkN9s2Z4KUPnS3k5LMelcXqJM36FUgFJDL4ZIlc63R5XDJ7XQrwZXQ8usEgVrT5gh6TT0c4RA9y4QGW07TTmhpu8NfXb8t2UUbO7mX2S77q6PtEztoylnO+nMZSaqSW/lV+ZF9UMNl2lKxRR6/R5mJmXJazth2WQMbyjbIF/TFtA2qq812OHwtzrbN5xsfb461k2Ivre4R27ZVUF0QOfZpeB6zxl+jWn+tspOzGx0HN8cb8GpzxWbZstUluYssRd+T4priyHevJdfiIhpu/8P7TMl8Zg6X5M7S9rqqSPut4Tk7b8Abee97pfdSQVWBqnxVSnenx3z/a/w1rb4vRkGf5Cup/44k1R+fhvcR9W0Bh1vBhJ6Re4Mcjuj9EA05HOaHFD/6SNq61dzDNHhwdH8Svveke3dpyIAqs2+yQ6bNYLnq18+Q+Z5I0ePshu11NbioHArU7ztzWhRCGQwFtblis3xBn7KSsmLWk/K68sj+JHzsXOuvVUZCRqRcyA6poq5Ctmx1T+2ueEdipL0WCpltZ/hHgxpeF3cl1mhb1TZZspSekB5ZnwKhQOyxuBT7HY2wI/tP24qXP2DFtKka/vBleL6WZc79heuWkmLaQg2v2UtSerqtKn+FymrL5LAcSo5PltvpVqW3UnWBOiXFJSkzMVNuS6Y9EfLVb8PqbyYK+U0/25ZciSqt7qSNG833PynJtB0atvVs2/TvlBlUjb9GdYE6BUIBJbgS5A/5FbJDinfGK9GVqARXgrxBr6q8VfL4PQqGgkqJT1FtoFa2bcvtcivNnaYkV5LK6sqUX5Wv0tpSheyQspOyVVxTLIflUKfETuqe2l2Z7nRZvuLo/sCVZNanYG39vVZe8zq5d4vaJzFCfnNNxF8pyZLi0809N5a1y/O34TZkdlK2OidFzxmHQmbfWF5urjWlpETvQ2ooEDDb2YoKM05ammlf71z96uro9SzJnF/t3FmqC5ljEEuWBmUNihmn0lupbVXb5LSc2q/zftH+lWZ+Dc9PJSSY81Mt/rGn9mTbUvF8c/1XtgnNdyWb83OBGnMOzxEvdT2u/rxFQJIjuh+2g4p+x+qPe3wlZtzwMZCs6HkFOyA54mQndFXQDioYCkbun7NkKVj/HXZaTjkdzsb3p7X0+LSZcgVVBVpasFRrStao2letIdlDtKVii7xBr7qndtdB3Q7SfpmDtOIbl7ZsMefX+/Qx64bTGW3bh0LmR3JbtC+2Q9HrF5Yzer+eHYi+d5arxW2YYCgob9ArX9CnkB1SXP31FH/IL4flkNvpltvljvxob/g+RafljLlf0eVwyWE5Yu5PSkgw50sbbhdt21y393ii28SkpOg15/B7IknJ7ho5CmdJno3mxzFS9zPbi7od5vySv1xypSnU62wV15aqvK5cyXHJSopLksNyqC5QpypfleIcccpJyZE/6Fd+Vb5cDpf6ZvSNWR/yyvMibafSbRlatsxst7OyzP4z/KMR4W12ZqbUM/a07x4J2SGtL12voB1sdP6mvK5c26u3K94Zr36d6n85tMn2pMN8r5xJ8sWla3PFZoXskLokd4mci5dM2ym8rDtfk2xO+Fx4eBsYPj5puH2LizOfZ/i6X1yc+VzDxzHhz9XlkuQIyBvwRtapeGe8/PXX5FwOlxJcCXLIpbKy6A9LJyc33d4J3y/W8N618P+G/Vq6K2l4nq/hj8Patq0NZRvkD/mbvJ67LwmEAtpcsVn+oF/Zydkxn39ZXZm8Aa9yUnJkyVJBdYHiHHHqn9k/ZhqbKzarxl/T5D1ze8rj86i4plhBO6jkuGQlxyfLG/DK4/fIH/Src1JncwzjLTXHUnKYa2CWM7r9D/nNOp+QE23H74LXa36Uyu+PXtts2E4M/7css7+vqzPrcFJS43JOp5Tk9kmhOrPNdcSZOkqKhLKr/nrUTyCYPRAKqLS2VBV1FUqKS4psn6p8Var11yo9IV2dEzurrtapqqrofXXhHyGWYtvi7hb+/mX4uDUUim03h6cnxT7bsCu2bSsQCkTatw7LIafllD/klyVLLodLLodLzqBHqs4z7Zb4Tub+NllmPQxfX3B3Nvdud5TwvQwNr59Yzvp7lJJMvS1H/XFlafTaqewG5ZIld2bkng2PJ/b9Dt9nlZRk7vMJBMz3orbW7N/Dxzfhv5QUKa2TV4WeQnkDXqW505QYlyjbtuXxe1Ttq1ZqfKrZH7Xwh8FCocbb9Z3tfJ6s2WnVn4csqy1TbaBWTsupxLhEVXor5XK4lOZOU6eETjHXy3YlEIi+X+F7Endu6zgcktMVkjcQbWOFr0+E7JCcDmekjdWebDv6eYZ/ODd8HSM8PHzdqyXfnUAg2q5zOMz0Gh4Dhe8zT3B56p+Z8Zr7Q53x9Y1cX/36FzLX9lrw/IxtR+/5DIWibYmGyxA+nxWwfarx10TeY7fTLW/QK4flULwzXklxSTHnrX9IDb83O5+fCLd33W7JlVCn4ppi1QXqlBKfopT4FPmDflX7qlUXqFNmYqY6JXaSw19pzmPJrr83zWW2AaGA2WbJYe61dCTFXMcKH3M0XD9zuoa0zbNZ3oBXmYmZMe9RpbdSHr8n8kxEeV25ymrLFOeMU0p8iuIccar0Vqo2UKuU+JRG47eH8DXaQKBxezK8DOH+uxUKmOv8tQVm+5fU3fz3V5r9uL/KHF9kjeuQfbY34FVxTbFqA7VKjktWqjtVgVBA1b7qyHWmzMTMFj1nZSZYbI6dLYfZh1nO+v2XL9qmSsyNLr9Vf1+d5YhemwrVSXIomNhXpWWOyD0RyclNv+ctPe9g23bk+FFS5Fxc+HX4GN4X9KnSW6lqX7X8IX/kO+EL+uR2uZXuTldKfKrKyxyR65wpKdHtXcNjgJTkkOJrlpvP33JFP//w/UOBatOO6zymRffIeuts5eeb7aLDYa6dhM+xNTz/l51tx5yfCLfFd3t+ojn+KnPsFwrUPzPmanQPiBKyzTHzDywYCqraV61Kb6V8QZ/inHFyOVyq8dcozmG2G6nuVMX7y6XylaYNk9jDnKez7frj+ipzPiO5l5Q2uEXzrfHXqLC6ULZspcSnKMGVoGAoKI/fXJ/MTMxU58TO7ftMiR0ybatArfmgnYnmuxN+pjBYZ9an5N4tm16w/ntp159Pt1yKnNMJnxtzJKjCkxg5Fk9La9zGlsx6WB0oi9xT1PB8gj/kV0VdhZLjk5WbmqtN5ZvkDXqVk5yjTomdIuXC9xTHO+PVN6Nvi967kB1SWW2ZSmtLI/N1OVzy+D3y+Dxyu9zKSspq92u74XsNwucnmjrv5Hab/a/PZ/7Hx8duIxoenwRt87yYL+iLnOP2BryyLCtyXjzOkvkRV3+F2Y7EZ5jPLHweO+g1z3amDmxRI8sX9KnIU6TC6kLV+GuU6k6VJUsVXnPM1SW5i3KSc+T27TDPJgeqzD18rhSzzgQ80edrUgfErnfNPKNu27YqvZUq9BSqrLZMgVBAWUlZKqsrk23bSk9IV05yjjITMmTVbjPztJxm2+KIM8sY8pv2nuUy82zpvYx2sMFDGg23feH7FqyWTasVyuvKVVhdqARXQsyzbOH7MZPiktQ9rXuLt8W+oE+1/trIuat4Z7y8gWi7MzEuUS5Z9dvr+vfI6ZbkiL1H1RGnUHyGymrLVFZXJrfTrZT4FDkdzsg1oNT4VGUmZirO4Yq9jyNyXTR8j4e5980fsCLXCl2uxufOLMv0q6qKPl+VnBx9Pj1cxrbN/UJxofpz8ZZV305wRp+hDvkkyyE7PltFtSUqrytXSnyKEuMSI+fiq33V8gf9yknJUaIjTUVFpm3ncpl9587nWCQpMb6u/t5fr1nnws9nh9c5Oyg5kxSKz1CtvzZyHSveGa+QHVIgFFCcMy5yHauqyopsJ8Lnp53O6FfCtqUEt62EuLr642rbrOfhe4XtUP25dktyJEp2w/u0XOZzVai+nDmIDihFW/Mdqq42k+vUybzHDZfVtqPthPA50YbtBEuWnA5n/T0Qsevmnu7Swvd6JsUlxdxT6A/6VVxTrHhnvLneXW3u7clIyIjcAyyZfW/4unjv9N4t3sfW+mtV46+JnH+Jd8arNlAbubcjOT5ZniqXvvvOPLsXF2ee9W+4vwu3/3v12vW8Gi5TaW2pqn3VkW2AP+iXx+9RIBRQp4ROSk9Ib3lbrKWCvvr7Yusv/IWfWwlfx7LipMTu9WXC94qF71GX2acEvZIjXl5XTxUXm2Oj8HnMnfM9HA4pObH+exl+viXyptVvd2VLjniV+6pVWF0ot8utTgnR/X/QDmqHZ4finHHqld6rhfeo2+b5m2CNWab4dDPvkN8sZ7BWkqWQu4u2VhdE2mYNjxurvFWRewAaXovdlUDAHOf6/eb7HBfX+LyQwyEFHTXKrzTPPDRc123ZKq0tVZwjTj3SesTck7ArpbWl2uHZocS4xJh7QMLHLRkJGcpJzmlx22l79XZVeauU6k6N3Bdny1aVtypy329yXLK2VW2L3D8Xfu/C90VIUm5qbovPYwVDQdUF6uQL+hS0gzHbzvB30e1ya3uBQ4WF5jxGZmbs9ZjwdcxOnRrn1Ni23fTy+6sj+43INjZ8HGOHzP7ElaoKb4VKa0vltJxKiU+R22Xui6j110bvi2jh+TN/0K+yujJV1FXIF/QpOT5Ztm2rxl8jt8utjIQMZSRkqLLcpR07zLImJ5s2ZcPzXeHrUSkp5n0P3wvd8L5oy7JkhY9sg7XRe44c8fXHCbakUP19qA7JlayaQJ2qfdWRNkSCK0E1/ppId/j+5vB6kuZOi7Slg3ZQld5K2batbqnd5G5w/se2m74vJi5OciZ4tLVyq1wOV8z9s7ZsFXmKIs8eltWVRe6Lanhfky/oM/fMW+aZgvY8BxQMBbWxfKMCoYC6pnRt9IxC+J7UTgmdYurQcFu1tXLrXruOpYAn+pyNM7F+u16/bfWVKXxPoc/hVq2/NvIdczvd8gV9ktTg/KRblZWmTRQKRXOndm66JyXacljBSPsici9WeJsuW5KlQP2yewNec96wwT6toq7CZDqkdW+Ur7KnijxFKq0tVUp8Ssw21hf0aYdnh+Kd8eqd0TvyuWQmZsa0J6p91W1qT7SrQE30Pqu4FLMvC1/XC/oUPo9d7U2NnBdPTGzmuDPeljs+2KDN7tzp85Ia7aN3JRQ0z4cGa6PXcSLngOvvA5NDdmI3efweVXmrIufL4hxx8vg95h6zuGTZoZY9m2HZTT0F0kaBQEArVqyQJO2///6Ka8NTCAMHDlS/fv00c+bMmP4FBQXKzc3V/fffr7/85S9NjhsfH69LL71U//znP2P6z58/X2PHjtVrr72m888/v8lxJ02apLvuuqtR/wkTJrRpOXb23vvvt6jcmNH3avXqS1RTk6OcnIXq3/9dxcdXyOEIyrYtBYMJsqyQUlO3NDn9U04+udV1s22HVq/+jQoLR8vrzVD//v9VaupGxcV5ZFkhBYPx8vvT1LnzCsUnlKg6oVqVSZUKOoJK8iapOqFabr9b6bXpSvImxdzQu/Oyt6V+2HcUpRVpea/lsi1bORU5yvBkqCylTEVpRXKGnBqxeYSyqrJixvkpfP7NLYMtW18N+kplKWXqW9RXXSqiCZJbOm/Rtsxt6lbaTaPy2haiCTTF681QVVUvBQIJiourUlJSUf0+ItoGcTiCio+v2mt1aO47EQzGa/Hiv6i0dIgcjoD23/9ZpadvkNNpTlqEQnHy+1OUmrpRtbU5yss7ScXFw1VTk6P09A1yu8sjy+jzpemYY67Ukb236ph+WzSoc5k2V6SqoDpZ/qBDQ7JLlZNco+WFWZq4Okcre61UojdRx6w8JmY/9Nmwz+RJ8GjolqGqTqjW5uzNyinP0Zj1YyJlQgpp1gGzFHAGdPCGg5Vam6pven+jqsQqZVVmqUtlF9XG16ogo0C18bUakj9EfXb0iZnPT2FbtyvzBs5TSWqJ+hX207CtwyL9yxPLNWfoHMmWjl1xrBL90ZMUzb0nXpdXH4/4WLZla9x345TpiT5AtLbrWn3X/Tul1qTqqG+PiqlDS9/j5tpE1dXdtGbN+SorGyTLstW16wIlJhbJ6fQqFHLJ50tXcvJ2de/+ZQvfFbRVfv54bd58nCor+yg1dbMyM1fXb7NCCgSSVFfXWX36fKBvv52o4uIDlJBQogED3lJq6ha5XCawMxBIVF1dhnJz57d4vqGQQ7btkm2bg2fLCu1cQk5n4P/bu+/wqMr0/+OfMz2TRholdAiI9KKAHSygFF0LKuh+hUXdn2JZd20oCuyKi7qsrn4Vdf2uuoq4iNgFG4hlRVFEQIrSeyB9JpnJtPP745BAIIFEAym8X1xcV3LOc87cczJz7vOccj+HLohalZOYoxVtVihij6hpYVOl+lMrHE/22NpDKfmttXHjhfL52sowomre/GvFxeXIZrNOtJimXZFInNLSVskwaq07qwuyNuvSruuV7C7VE9/00vaiBHmdEbVvUqTezfcqwRXWku3N9cba2ivMFTWi+rDXh4rYIzppw0lqUbD/gaataVv1Q7sf5A67dd6K89QptVC/6bJBvZvvVTRm05bCRAXCDrVM8qtFQrF2+eN10/uDZTdiGnnCJp3RZoc6pBTKXvZspCnt8sXri62ZmrWy4g0Zv6Y/ebyratttaLZBq1utVlJJktrk7L+y5YvzaUvGFjUpbqJT152qQm+hVrZZqaAzqIyiDGUUZSg3MVd7kvbIGXWq+7buyvBlKDspW6tbrS7/7qT507QjZYfyEvKUUpyirtu7KimYVGlslcVXnfdQ3XY7d56m7dsHKxBIU9Om3yslZe2+8wlRmaZN0ahbXu8eren5pnan7FbrnNbqvq17+fLZydla1mGZXGGXhq4epBv7rFW/FntUEHRrwfq2yimJU8fUQrVrUqQz2+5UzJRufn+Q8gIeXXjCRp3ZdodaJhUrHDVUEnYq3hVWKGrX+rxkPfpVH53WZqeaeELaXJCozQVJisRsyvAGlOgOKckdUm6JR4uzU/R1p6/li/OpZV5LOSPWeaCoLartadvlCXs08KeBig9VvDLSEL87Pl9rrV49Vvn5XeT1Zqtt2wXyenfLbi+VadoUicQrFnOoRYsldR1qg7Ws3TLtSNtxyPmAsC2sD3t9qJgtpoE/DVSH0iSN6rZeJ2VmK90b1E+5TeQrdcllj+rklnuUW+LWY0v66IfsDKXGBXVZ1591autdSo3bP+jFLp9XX+9orldXdVZJeP/5y8Odx9jYdKPWZa5TXChOmfmZ8oQ82pWyS3kJeUrzp6nH1h7yhmr3okL1mBrbe41Obb1L4ahNb69rr+xir9ok+9U6yaehWVslSX9e3F/f7mx2hHVJdiOmjPiAPI6oghG7ikMOmTLkcUSsshGGFInZtHFXN/3ww83y+1srOXm9unSZJbc7XzabdWNINOpSLOaUs+kP+rLLlwrZQ+qwp4NsMSvBmoapjc02yh6z67R1pykxmChTpoLOoEqdpXJGnIrZYooZMcWF4uSK1v7NyTYjpvZNiuR1RhSIOJQX8CgSM5TgCstumHLaY4rEDG0rTJSpOrggcxw7XJ4IOoIq8hapxF0ib9CrsCOsqC2qpECSEgOJspt2JbtL5XVafZTisEPRmCG7zZTN2P+XLAi6tTtpj1a0tYrlNitspqSSJBV5i5SdnC1J6rmlp5oVNZPP49O2tG3albJL7rBbaf407WqyS86oU61yW6llXkul2qUu6fnyOsPK9scrN+BRzJSaeErlssfkskflDzkVjtp1dvttSvaEtCI7TduLEhUzDaXGBdUsvkTxrrA25ierNGLXoHbbleAK66vtLbTL55XDFlNKXKlaJ/nlcUT07c5mmvZ/R+7bXThypM5uv01ZqQUqjdj1/e6myg+4leQuVaI7rFZJfpmmtODnzvr8m9uUm9tNpmlXp05zlJCwc19/0lQ06lQolKSmTZcrN3Wzfsr8SQFXwDrG8qVpS8YW+Tw+ZeZnqvOuznKH3dqavlXrMtfJEXWoZV5LxYXjtDVtq4q8RWqT08ZqF6l4M0NVf/+gM6iVrVdqT/IepfpT1SK/hcL2sHam7pTf41fW7ix12t1JO1J2aHm75YovjVfLvP0F6YrdxdqRtkNpvjQN+HmA7Kb9kNes6nPXGJgyVeooVcgRkjPqVMQekS1mkyfsKd8WpY5S7UzZqV0pu8qPs3MSc+SKuNSioIUy8zLlLE1UdvZJCoWayDBiSklZJ4fDuolr/4Vgm+Li9ig3KUcbm25Ufny+0n3pSgokaVvaNpky1S6nndrktJEzWvE6YlV//7Pbb9PY3qsV7wzruWXdtWpPmhy2mFon+9UtI1epcUEt29VUu/xedW+aK7th6vvdGcoLeBTniCjeFVbLxGLZbaaW7miqxcvGa/v2s1RamqK2bRcoJeUnOZ1FstmiikbdCoWSlJKyVl7v3kNiqyy+yt7Dwe1MU9q8ebh27jxNPl87JSVtVHLyBjmdJTJNm0Ihq1/So8cz1domVb3uwe0CzoDWZa7TzpSdSi5JVpucNir0Fmp3k92ymTZ12dFFmQWZOqvtdrVt4lNpxK4fstNVVOpSsjukeFdYzROKZZqGPtvSUr6QS1EjqoAroKgtKlfEVf658oQ9su07f1SW14vdViFad8StgCsgd9it+NJ4OWIOxTnCapZQIrc9qoKgW4GIQ4YkrzNs3VwgU4GIU3mBuimQVp1r1GXbu9RRqmJ3sWJGTO6wW0FXUM6IU/Gl8XLG9n/OQ/aQgq6gJMkRdSjkCMkVcckT8sh2wA2vIXtIQWdQNtMmwzQUsUfkCXvkirgOuZ5cH4VtYeUl5Ck3MVcxI6aEYIIKvYWKL41Xmj9NycXJFd4v6la6t0RJ7rBM0zpGisRsctmjctpj5Y+s7S2JUyR25AeabUZM7Zr4FOcIKxBxKD/gUdQ0FO8My2EzZbeZisQMFYccuqzrBrVJ9mlDfrJWZKerOORUyyS/UuOCyvAGlB9069VVJ6ggrkC7UncpOylb3pBX7ohbefF5Si22jgfSi9JlyFBuQq52puxUbmKukkuSZRqmiuKKlFGUocz8TKUUp2jnjjO1efMwlZQ0V0bGMqWn/yCXyyebLapYzK5o1COvd5cWf/bEEd/rhSNH1mg/EbKHVOIusfYTEbeCTms/4Q155YjV7CGQqBGV3+NXsadYzohTNtOmoDMob6lXicHEStdXVZ44IS1PHVKKZDNMrclJkT/kUpwjIq8zrNS40n3TU5VTEqcSZ4l8Xp+CzqDig/EKuAKymTYlBZIUH4yXTbby/b8vzqeILaK4UJwCroAcUYcSg4nl18Oqs+1+c+EIxTvDctqjisZsCsdsFQY9MSSFYzaFotV72L629WuRrWYJJQpF7VqXk6JgxK4EV1geR0SpcaWKmdLy3Rn6zxsLjriuC0eOVEwxFbuL5Y/zS5LcYbdK3CXyhDxKDCZWOG4udZQq4LS2vz1mV8gRkjvsVlzYeiAlFEpUIJCuaNQtp7NYLpdv3znHA6+LR+R0BhRTTEFXUEFnUO6IW1FbtLwvfvCxel2J2CKKHXBtyhF1NLo84rJH5Nq3343EjPLzEGV3JsZMQ+GD9sNVHXcaMnVRl406rfVOtU72a21OivYWxykSs6lf5h6lxQX1+dZMTVvWWUuzlqrYXazM/Ex5S63zWoXeQmUnZyujKEP9NvWTLRSvjRsv0p49fVVQkKX4+F1KSNghu71UkUicAoF0tW//npo2/VYbNlysnJye8vnaKilpk7zebNlsYYXDCQoE0tWt23MKhxO0ZcsFKizsIK83W2lpq+R2F0oyy693duz6L/2375sqdZWqx5YeFa6Lr2m5RnuS96jt3rZq/cOlWrny/8nna6OUlJ+UlTX3oPNTHsViDqWmrq102/3SY+zq/B2A0tIkRSJexWJ2OZ3FstnC+3JY2TVaQ3Z7UDZbtNZfO2bEVOoolWmYspk2RQ2r73Zg36TEVaKcxBzlJ+QrLhQnW8wmv8evlOIUpfnSlFBauwOzHexw351SR6l2Ndml7CbZCtvDSvWnKjcxV56QR80LmqtZYTOlO0xd3u1ntU7yaUthkpbvTldxyKUWiX6lxpWqaXyJikpdemVlF0WNqHwen3xxPjliDjmiDpW4ShRfGq+kQFKNzj1b9yG7ZJp2maYhmy2m/Q/37iv0YIvJZmv490+YMstzQl5CnhIDiTINU36PX+m+dOt8auDQggxV7Ttrcuxcm2KKqdhTLL/HL1vMJmfUqRJXibwhrxKCCXJFXdbDcgl52pG6Q3uS9igpkCRH1KHcxFyl+dLUKq+V0ovSDzn+qK3rnRFbRBF7RIZpyDRM2WP2Q86Z1aZYzK5YzC7TtO+7b6TiPUDWviqmSCRB0ahDNltMdntpebv9z3RE5XCEjlqc9ZUpUyF7qPw5dcM05Iw6G8T5mvrg155jddhiuqn/DxrYard2+bx6a11HZfu9ahpfoqbxAXVJz5PdZuq5ZV11Zfef1S0jT5sKkvTF1kzlBTxqmehXs4QStUn2yR9y6sFF52jL1nMVCKTL5fIpPX1F+bMnkhSLWffLORwBZWefrFAoSR5PrlJSfpLDUaKyfb9p2mSzxeT1WteXwrawQo6QbKZN5r77s9xhd4XrEsDxoLQ0ScFgqmIxt5xOv5zOYknRCs8H2mxhORzWOfOoEVXYES7PiUbMkCu6/5x4vDOkOKf1/QxG7IrGDNkMU7YDjrOLSj3au7ePSkubyDTtatLkZzkc/oPulTTkdufLsEWsczEev0yZ8oQ9KnGXyB12H3IuRjr0/AT7/9oVNaIK261CGqZhyjCNCtdEqns8GeeIyO2wPifhqE0x09D+fpgkGQpEHPI6w3LZrSK3oX3tDmwZM406O++IQ3mdYXmdEdkMU4GwXVHTJkNl339JMlUcdu37ex9fwvawQvaQ7DG7YraYbDGbXBFXjc+fVuc7dslFw5UaF5Tbbt1TFow4FDO17ztnyJCpUNQmX6j2C8LGYs7yvrj1HEPF77XNFpXNFlHEFlGJq0QhR0iesEehfX2W+NL48v16xBZRbkKucpJyFHQG1aS4iQq9hXJFXMrwZSjNl1bj6zamTIUcIcWMmGymTTEjJlfEddSO/6JRpyIRj0zTIcOIHnDeyYrG2ibhRnF+Ar9OZN/xTvl3Yl9/Nr40Xp5w3Q9UZ8osP8Yqy/lH8xgrHI5TJBIn03TsOzdb9h0xy6+f2e2hGp2zjdgiCjqDitlickQcCjvC1v0zB9wDYhV9tu97HqvsiOPA92jKbg+X/3zgPY5S2R7PkFX34vjLdbWp1FEqn8engCsgb6lXIWdIpkwlBhMrXO/2e/wq8Bao1FmqhGCCit3FcsQcSi5OVlIgSTbZ6ux8Z02YMhWxR/YXKTZtNc5xUnWPE4apV7McJbrDKgy6tMOXoEjMUBNPSC57VB5HROF9z6k0jQ/I44jIH3KqOOyUaRpKcFk52zCkUNSunJL9z9ma5oFFIw+owalYjYoJhuwh+T1+BVwBxYXiFLaHFbNZ9zSV/f1rwij7vh7ybJ71fY2Z1ucp4ArI7/bLNPb1O10lckfc5eenj4aYEVOJq0RBV1DusFtRI6qIPSJvqbf8noKaiNgiCrgCCtvDcofd5ee9fun9/WF7WAFXQKZMOaNOlTpK5Yq4FBeOK7/3ULL+ZmX3pRx4X4Qn7GmU/fGILaKoES1/b43xvogDmQcc01f29wzbwuX3WdpjduvzF3HLHXZbg6uG4xQMpikadcluL5XL5ZdhVMzhhhGV0xlQxBaRz+Oz7sEJexQzYgo7wooPxishmCC7aS+/LpabmKuiuCIllyRb98gaUaX705XmS5M74q71/X/UiKrQW6hCrzVQZFwoTv44v+JK49SkpIniS+NlyFCpo1S5CbnKS8iTM+qUK+IqjzPNn6aEYEKVdYp+aT5q4ilVvNMajMUfcikSM+SwmXLYYuXXva17A+vmc2rKVKmzVCWuEtljdtljdpU6S+UJeazr30fp+xNwBuSL8yngDCi+NF5BZ1CGDCUGEpUQTJBNNsUUky/Op/z4fIUcISUEE+T3+OWMOpVSnKKkkoZzPFFXjPLnEvbfX2Ga+4+Ny5j7/llTy0tZKhwOa8GCBSosLFTSYUaGrlHRuE2bNmnRokU6/fTT1blz5wrz3n33XY0fP145OTmSpJSUFD311FO6/PLLq7t6SVbRuI4dO2r+/PkVppcVjfvrX/+qu+++u9JlXS6Xxo8fr5kzZ1aYXlY0bvbs2bryyisrXba0tFSlpfsfuiwqKlLr1q2PuAGPhuxsaeNGayS0UMiqYnrgqMBNm0r9+tXuaz7zjPTuu9LmzdLgwVJWllUt0eGwXjMcli66SMqs5mDJaLxKwiWavGiyXvzhRZ3d/mwt3LRQ1/W9TveddV/lo0ZUMbJBg3KY9/Bz7s/q/UxvlYRLNKjdILVv0l6r9qzS0p1L1TyhuVbdsKraVbKBBuMw34loVFq/3spl+flWHikbGaxsVLgWLaQzz7RGhunSRVq40Jp28HrsO+ZIX15hTTh9rtT6Uqsy+eoHpeyFUu7XUuIJyjvnv2oxo4VC0ZDG9xlfXtm4OFSsp797Wg6bQ9tv265lu5Zp2CvDFOeI05tXvlledXnN3jW6ZcEt8jg82nvHXiW4EhQzY3r868d136L7dEabM/T1jq/Vv2V/PTPiGbVJrmRIg8awrzuMl354Sf/z5v8oLS5Nl554afn0FXtWaMn2Jbog6wK9f9X7FRc6zDYZNmuY5q+fryEdh+jc9ueWT3/u++f0U+5Pmn7OdN11+l3VXl+l7Q5qc/PN0v/+r/Xzk09KN95Y9Spw9GzYIHXubFVS79pVWrny8COFlo2C6vNZo0lEItafuGwE4PT0qpdF/RWKhvTQFw/pX8v/pdNan6Yvt32pa3pdo4mnT6z1UVdrJBqUcpdKxZusUQQ8zfZVhi9LYlGp6ZnWSMO1aOybY/XiDy/q1Nan6uIuF5dPn71qtpbtWqY/DPiDHj31BumDvlZcnW6S+v3DimvLq9KuD6VNz1sLjTalzy6SdrxtVaLvfLPU7GxrhNe1j0jb35QSO0kjfqoYRBX7Tvw617x5jf79w7/Vu3lv3X/m/fpsy2d67OvH1DKxpZZet1QtEq0DoJgZ0zPfPqN/Lf+XejTtoRXZKzS6+2jdMuCWCiPfRGIRPf3t05q/fr7aJrfVDt8O/b7f7zWs07DKA/iVufMXt6vCupx16j6zuyKxym/geHLYk7qx3++lH/8s7VogyZAyh1uj6sVC1nc04rdGHutwnfTJ6VLet1JCljTwBSn9VCvGTf+WllxjrfTy0mqPHlsYLNTI2SP15bYv9c+R/1RqXKqumHuFumZ01fyr5qt5QvNDF2rg3x3TtEauKsuxZaM1VXckalTu/Z/f1/BXhiveGa8Hz3mwfPrqvav1zHfPqEVCC23/43bZPjrV6tMkd5PO/dwaKX7PZ1Led9L3f7QWOnW2lDZQ+ugUKbhbkmHlooSOkn+jtOdTq93Q76TUvvuDOML3f1vhNt264Fat3rtaJ6SfoLU5a/XA4Ac0qtuo2t8gNbH+n9L2edYojc3PkzwtZI3MFN43aoth5bZqjlpfXbt2SWvWSHv2WH3R5OT952LLRgo/5xxpRfYKnfXCWSoOFevVy16Vx+HRZXMuk91m18e//VgDWg2o1biAmigqLdLtH96uF5a/oAtPuFBvr3tbv+vzOz1y3iMVRlmVrGOKbL/1wI/D5lCzhCMXYmxoXntNWrxY2rlT6t7dGp2ybLRh07Ty3mWX7R8t/e11b+urbV8pzhmnmBnTNb2uUfuU9hXW6Sv1acZXM7Qud52auJsoHAvrztPuVOe0zpVEoCMeJ7y59k396cM/qX2T9tpWtE3NE5rr6eFP68SME8vbPLbkMd32wW06Ie0E/eey/+i11a9p2ufT1LdFXy26ZpGS3Addu2rk56fq2sb8jVqXs06S5HV6dXqb02WvKicd7u8f9kuBHVJprnWMq5jKR5Gzx0lNelijitVQ2bW8SMR6WYfDGhHtcOddqoz7MJ6eaeqGG6yfb7lF+sc/arjug7dJdQ889y23as8qPfnNk4pzxikvkKcBLQfo2r7XVnvUUABozA4sRAYADUZV/Zgf/yqtuMf6+fwfpJSeUvE2afU0afcnkn+91HSwdM5C+Up9uvqNq/XOunf08HkP6+fcn/Xssmd128Db9Mh5j8hus+vCC6Wy+1Tfeku68MJDQ4nFpG7dpLVrrT7kd99ZfcqDbd4sdehghdu5s7RuXdVv79VVr2r069YAt13Su8hld2m3f7f2FO9Rs/hmWnvTWiW5mmjlSmnVKus+i6Qka9T3shGpy0aoHjq0im13lM/tAwAaHtM0y6/J2m328nvkANRDkYB1H4QZkWIR6z4lu0tyJEj2g+7JN03rumnZOeVq3gsBAAAAAAAAAACAhqWoqEjJycm1WzTunnvu0UMPPaSNGzeqbdu25dPXr1+vnj17KhgMqm3btvJ6vVq7dq1sNpu++eYb9enTp9qBn3LKKYpGo/rmm28qTP/xxx/VvXt3PfPMM7r++usrXbZFixY644wzNGfOnArT33vvPY0YMUIffPCBhgwZUq04qrsBG7OyTwY3FuNXaQwPqh3hPfzvN/+rm+ffrFNbn6oPr/5QvZ7upQ35G/Tu6Hc1vPPwYxgocIz8yu/1Z59JZ51l/XzuudKHH1aRa3bOlz4bYRUHOOkpqdMN1o0xhav3t7HZpeRuumzOZXp9zeuVvt6IziP0zuh3FIqGlPFIhopKiyptN7LzSL09+u0avx9JjWNfdxiBcEAtZrRQYWmhbIatvEpx1LSqls8dNVeXdr204kKH2SazVszS1W9cXelrGTK0+Q+bDy3OVwuFbz76SPr6a+vGfbvdKsRrt+9/YLxfP2n06KpXjdrxxRfSCy9IP/xg/d6jh/Xwg81mFUwOBqXp0ykIh+PHhxs+1NCXD37SZ79vrv1GJzuKpYWDrQknPytlXWf9vPFFKba/+LkSO+9v1+8JqfNNVu7M+0766QlpyyyKxh1DpZFSDX5xsL7a/pUePvdhzfhqhopKi/T5uM/VL7OWK8H/GsfwwbIb3r1BT3/3tC458RI9O+JZvbrqVd00/yZ1TuusH2/8UQ7bQaM+maZVSMMMS4bDKqJhGNLOBdLiC6w2p8yS2o2xfv6gv1S8WSrda/1eg6JxkhSMBDXurXH6due3sht2dUztqFcueUXJnuTKF+C7g0pEYhG1mNFCOSU5lc6/dcCteuz8x6S320nFW6SM06WzP7X6NnnLrAdey6SdIq2cbBUHNezSoA+k5udY8/KWSR/s25fUsGgcfrn/bvuvznvpPGV4MxTnjNOm/E16b8x7OqfDOXUdGiDJKkZrmqYMw+BBwLpWS8cJkxZO0rTPp+ncDufqsy2fqV2Tdvpi3BfKiM+o+DqHQy5ALSoqkm69VXr9devjd911Ut++UpMmVuG6nBypoEC67Y81KwYHAACA40h1+jHb3pS+uNQa0KfvY1LH6yWbSwoXWPPDRdbgOvHW/YumaeqJb57QloItkqT+Lfvriu5XlK9u5EhrMFVJevtt6/eDxWJSr15W8Tan07quXNUtjx98ID39tLR8uTUAwRlnSBkZ1rXnwkJroNjp06VmzaShLw/Vhxs+1F8G/0V3n363es7sqTU5a/TyxS/rqp5XVWuTVYqicQAAAAAAAAAAAAAAAECjc1SKxp155pny+/1atmxZhek333yznnzySU2YMEFPPPGEJGnevHm67LLLNG7cOP3f//1ftQO//vrrNXv2bOXn58vh2P+w8KuvvqrRo0fryy+/1KmnnlrpskOGDNG2bdu0Zs2aCtOnT5+uiRMnaseOHcrMzKxWHBSNA36FxvCgWg3eg2maGvLyEH288WP1bNZTK7JXaHyf8XruwueOcpDAMVTL3+sXX5T+8hdpwwbrRusLLpCaN7fm7d4trVxp3ayt3Z9Im/4t5XxhzfS2lhzxUtgvRUukrBukjr/Tuz+9q5GzRyrZnaxVN66SzbCp19O9lFOSU6Gg2ZjXx2j2qtnKTMzU6W1OlyS9vvp1Rc2o/nXhvzSuz7iabJX9joOiDDe+d6NmfjtTV/e8Wi9d/JLe//l9DX9luDK8Gdrxxx1y2p0VFzjMNikOFavZ35qpOFysv57zV/Vr0U/PL39es1fN1pltz9TisYsPDaCq9VW3um0j/bs0FhFrgGM5HIdvBzRG0VhULf/eUtnF2brj1Dt0dvuz9fa6tzXz25nqlNpJP928r8DbmkekHx+08l+bK6SUPpIzSYoUS8WbpLhMa0ThFfda7Yevk5I6S8G90htN978gReOOqWx/tkbOHqnC0kJJ0p8H/bnCg2r1wjF8sCzbn62sJ7IUCAf0w//7QZfMuUQ/5f6k1y9/XZeceEn1V1T4ozS/p1VcuNt9Us8/W9NLdlgPEZaJb1P58r8Uxx2oprICif1a9NNdp90lX8in8W+PlyQtGb9EA1oNsIphL/uDtGexlNBBan6e5M6wPsOBXVLRGmnQAmlexr59/5XSabOtF9jxnpT7lfTjNOt3isYdU19v/1rf7/5ektS9affyviWA49xRPE546YeXVBAskCRd1OWiQwvtA3XANK1zu1u2SH6/FAhY53WaNJHatZOysuo6QgAAADR4BSul7W9JuUukUIFVNM7mss6f2d1S14lSxmnVWlVJifT3v0sLFkjffSd16iSdcIIUHy/5fNLWrdJNN1nF5B57TFq4UFq2TOrc2Tq+9Xis4sjZ2dI//iGdeeb+dUci1jFxcbHVNUxIsAbMKrM+b716zOwhu2HXzf1v1vQvp+uc9ufo4//5uBY31gE4jw0AAAAAAAAAAAAAAAA0WEelaFzr1q01aNAgvfTSSxWmd+rUSdu2bdPevXuVmJhYPv2ss87Srl279NNPPx28qirNnz9fw4YN06uvvqorrtj/IPUFF1ygFStWaOvWrbLb7ZUuO3PmTN14441asmSJBgwYIEmKRCLq3bu3EhIStGTJkmrHQdE4ADWxvWi7/vjBH2XKlNvu1szhM5XoTjzygsBxbts2q0BcQYFUVGSNvJ2eLnXsKPXsWckC0eC+m8DjrJHD94nEImr9aGvt9u/W/Kvmy+PwaPCLg5Ual6pdf9oll90lSZq7eq5GvTZKrZJaadtt27Rm7xp1faqr7IZd2bdnK82b9sveyHFQlOG7nd/ppH+epHhnvLJvz9Z171yn2atm648D/6gZQ2ccusARtklZAb8/DPiDHj3/UfV9pq++3/29nh7+tH5/0u9rvD4AaMhunX+rHv/mcY3pMUazLpmlYbOGaf76+Zpy1hRNHjR5f8NYVMr/TvJvlEL5Vl50xEue5lYRuT2LpSW/tdqe+bbUcqS1z4z496/DsFnLHIiicce3Y1g0TpKmfDpFUxdPVZvkNtpauFWntj5VX/7uy5qvaPXD0oqJVjxtr5SaDpbcqVK4yCrG5UiQekw+8nqAo+CzLZ/prBfOUrI7WXvu2KN5a+Zp9Ouj1TGlo9bfsr5i40iJ9ZkN5VmfX7tbcqVZheQixdK7+yqu9HxA6ravMOjCc6TshfvXQdE4AAAAAAAAoFqiUevehIICKRSyirw1a1b54FbFxVJhobVMcnLFYnA18efFf9bkT63z1W67WytuWKHOaZ1/+ZsAAAAAAAAAAAAAAAAA0ChVt+ZZJbc7VS0nJ0etW7euMK2goEAbNmzQGWecUaFgnCT17t1b3377bU1eQhdccIHOO+883XDDDSoqKlJWVpZmz56tBQsW6OWXXy4vGDd+/Hi9+OKL2rBhg9q2bStJ+t3vfqcnn3xSo0aN0vTp09W0aVM99dRTWrdunT7++CiNzgkAkloltdKcUXPqOgygwWnd2vpfbXZPpZMdNoeu6nGVZnw1Q7NXzZZnX7vR3UeXF4yTpAuyLpDH4dH2ou1avnu5Pt5oHR+c2fbMX14w7jjRL7OfejXrpR+yf9BLK17SW+vekiSN7zv+F63vqh5Xafaq2Zq7Zq4m9J+g73d/L6fNqVHdRtVm2ADQIFzV8yo9/s3jemfdO8r2Z+uTTZ9Iksb0GFOxoc0upfW3/lem7RXSqqmSf7307QTJcEjNzpGciVLYJ+X8VzKcUvOzj/I7Qr12YDGpw00/SoWmbj/1ds35cY7yg/lqntBcD5/78C9bUdc7pXZXS9tekwpWSjvelqIlkjNJ8raVMk6r3cCBGjijzRlqldRK24u266MNH+n1Na9Lkq7sfuWhjR1eKe2kylcU3LP/59K8/T/3+18pXLj/96QutRA1AAAAAAAA0PjZ7VJKivX/SOLjrf+/1t2n361hnYZJkhJdiRSMAwAAAAAAAAAAAAAAAPCr1KhonMPhUEFBQYVp33//vSTppJMOfbgxISHhFwU1b9483Xvvvbr//vuVl5enLl26aPbs2bryyv0PVkajUUWjUZkHPMTsdrv1ySef6M4779TNN9+skpIS9e7dW/Pnz9dZZ531i2IBAAANwzW9rtGMr2bojTVvlBeKG9t7bIU28a54Dek4RG+ve1vvrHunvCjPJSdeUvMXrE7BlaNUbKWujO8zXrcsuEV3fnSnSsIlGthqoLpmdP1F6xqaNVTp3nRtL9qu2z+8XZJ0QacLlBqXur/RcbiNARyf+rfsr6zULK3PW68J709QKBrSyZknq1Nap5qtyOaUBn8kLf1/UvZH0uJhkgzJES9F/FabXtMpGne8q27uPErF5RJcCVo9YXWNlqmSN1M64dbaWRdQiwzD0JXdrtTfvvqbXl75sub/PF+SVdS6RjxNpfRTpJyvpG1zpJ5/tvbpySfub2OaVX9fAQAAAAAAANQ5l92lkzKrGDgCAAAAAAAAAAAAAAAAAGrIMM3qP93br18/+f1+rVu3rnzaxIkT9fDDD2vOnDm69NJLK7QfN26cPv/8c61fv772Ij5GioqKlJycrMLCQiUlJdV1OAAAoBr6PdtPy3YtkyR1y+imVTeuOqTNi8tf1Ni3xqprRlf9lPuTorGott22TS2TWtbsxapTmKGRFTTLD+Qr8++ZCkaCkqR/jvynru17beWNq1HYbcJ7E/TUt0+V//6fy/6jy7tdXvk6qtLItjGA49fkRZP158/+XP77Y0Mf060Df0UxrFC+tPcLqWS7JFNyN5Wa9JCSTji0bdn+ln0qDlTdIlR8boBKLdu1TP2e7Vf+e4+mPbTihhU1X9G2N6Qv9hW5TjpROvEOKbGzFC6S9n4u5X0rDf6w4jIUWQYAAAAAAAAAAAAAAAAAAAAAAAAAoEGpbs0zR01Weumll2rSpEn6/e9/rwkTJmj9+vWaOXOmEhISdP755x/S/ssvv1RWVlbNowcAAPgFJp4+UbNWzpIkjeo6qtI2I08YKYfNodV7V0uS+rfsX/OCcdJxWXwhJS5Fc0fNVXZxtiRVLPD2C1zV86ryonGJrkSN7DyyYoPjcBsDOH6N6TGmvGic3bDriu5X/LoVulKkliOP3A6oCnkY+FX6tuirE9JO0Lpca/CNMT3G/LIVtb5Y6v9/0vLbpaI10te/qzg/pe+vjBQAAAAAAAAAAAAAAAAAAAAAAAAAADQUhmlW/yngQCCggQMHauXKlTIMQ5JkmqYeeeQR/elPf6rQ9ttvv1X//v0rndcQVLfqHgAAaHjO/fe5+mTTJ5Kk6edM112n31XHETVC+44VJR226My6nHUyZSrOEae2Tdoeg8AAoP5akb1C0VhUbodbXTO6HrsXLttnUyQMAGrVsl3LtLlgsyTprLZnKc2b9stXFgtL2Yuk3CVSpERypUopvaSmZ0l2T8W21TwWBwAAAAAAAAAAAAAAAAAAAAAAAAAA9UN1a57VqGicJPn9fj366KNasmSJUlNTNWrUKF144YWHtHv22Wc1f/58Pfzww+rUqVPN30Edo2gcAACN19bCrdrp2ylJOjH9RCV7kus4okbiwOIUVaFoBQDUPxSNA4DGhaJxAAAAAAAAAAAAAAAAAAAAAAAAAAA0KEetaNzxgqJxAAAANUTROABoGKqzv5bYZwNAQ8KxOAAAAAAAAAAAAAAAAAAAAAAAAAAADVZ1a545jmFMAAAAaMwoQgEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAcFRSNAwAAAAAAAICGjALOAAAAAAAAAAAAAAAAAAAAAAAAAAA0ehSNAwAAAADgeEJhIQAAAAAAAAAAAAAAAAAAAAAAAAAAAABocGx1HQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoGoUjQMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAesxR1wHUV6ZpSpKKiorqOBIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAjVFZrbOy2mdVoWhcFXw+nySpdevWdRwJAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgMbM5/MpOTm5yvmGeaSycsepWCymnTt3KjExUYZhqKioSK1bt9a2bduUlJRU1+EBAIAqkLMBAGgYyNkAANR/5GsAABoGcjYAAPUf+RoAgIaBnA0AQP1HvgYAoGEgZwMAUP+RrwEAqH9M05TP51NmZqZsNluV7RzHMKYGxWazqVWrVodMT0pK4oAHAIAGgJwNAEDDQM4GAKD+I18DANAwkLMBAKj/yNcAADQM5GwAAOo/8jUAAA0DORsAgPqPfA0AQP2SnJx8xDZVl5MDAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANQ5isYBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQD1G0bhqcrvdmjx5stxud12HAgAADoOcDQBAw0DOBgCg/iNfAwDQMJCzAQCo/8jXAAA0DORsAADqP/I1AAANAzkbAID6j3wNAEDDZZimadZ1EAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAytnqOgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQNUoGgcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA9RhF4wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgHqNo3BH4/X794Q9/UGZmpjwej3r37q1XX321rsMCAOC49emnn8owjEr/L1mypELbZcuW6dxzz1VCQoKaNGmiSy65RBs3bqyjyAEAaLx8Pp/uvPNODRkyRBkZGTIMQ1OmTKm0bU3y8xNPPKEuXbrI7Xarffv2mjp1qsLh8FF8JwAANF7Vzddjx46ttM/dpUuXStdLvgYAoPYsXLhQv/vd79SlSxfFx8erZcuWuuiii/Tdd98d0pb+NQAAdae6OZs+NgAAdWf58uUaPny42rRpo7i4OKWmpuqUU07Ryy+/fEhb+tgAANSd6uZs+tgAANQvzz33nAzDUEJCwiHz6GcDAFA/VJWv6WMDANA4OOo6gPrukksu0dKlSzV9+nR17txZr7zyikaPHq1YLKYxY8bUdXgAABy3HnzwQQ0ePLjCtO7du5f/vHbtWg0aNEi9e/fWnDlzFAwGdf/99+uMM87Q8uXLlZGRcaxDBgCg0crNzdWzzz6rXr166Te/+Y2ee+65StvVJD9PmzZN9913n+6++24NGTJES5cu1aRJk7Rjxw49++yzx+qtAQDQaFQ3X0tSXFycFi5ceMi0g5GvAQCoXTNnzlRubq5uvfVWde3aVXv37tWMGTM0cOBAffDBBzr77LMl0b8GAKCuVTdnS/SxAQCoKwUFBWrdurVGjx6tli1bqri4WLNmzdJvf/tbbd68WZMmTZJEHxsAgLpW3Zwt0ccGAKC+2LFjh26//XZlZmaqsLCwwjz62QAA1A+Hy9cSfWwAABoDwzRNs66DqK/ef/99DR8+vLxQXJkhQ4boxx9/1NatW2W32+swQgAAjj+ffvqpBg8erNdee02XXXZZle0uv/xyLVq0SBs2bFBSUpIkacuWLerUqZNuu+02PfTQQ8cqZAAAGr2yUwuGYSgnJ0cZGRmaPHmypkyZUqFddfNzbm6uWrVqpf/5n//RM888U778gw8+qEmTJmnVqlXq2rXrsXlzAAA0EtXN12PHjtXcuXPl9/sPuz7yNQAAtW/Pnj1q2rRphWl+v19ZWVnq3r27Pv74Y0n0rwEAqGvVzdn0sQEAqH8GDhyonTt3auvWrZLoYwMAUF8dnLPpYwMAUH+MHDlShmEoNTX1kPxMPxsAgPrhcPmaPjYAAI2Dra4DqM/eeOMNJSQkaNSoURWmjxs3Tjt37tTXX39dR5EBAIDDiUQievfdd3XppZeWX2SQpLZt22rw4MF644036jA6AAAaH8MwZBjGYdvUJD8vWLBAwWBQ48aNq7COcePGyTRNvfnmm7UaPwAAx4Pq5OuaIF8DAFD7Di4+I0kJCQnq2rWrtm3bJon+NQAA9UF1cnZNkLMBADh20tPT5XA4JNHHBgCgPjswZ9cEORsAgKPr5Zdf1uLFi/XUU08dMo9+NgAA9cPh8nVNkK8BAKjfKBp3GKtWrdKJJ554yIWGnj17ls8HAAB1Y8KECXI4HEpKStLQoUP1xRdflM/bsGGDAoFAec4+UM+ePbV+/XoFg8FjGS4AAMe9muTnsv52jx49KrRr0aKF0tPT6Y8DAHCUBQIBNW/eXHa7Xa1atdJNN92kvLy8Cm3I1wAAHBuFhYVatmyZunXrJon+NQAA9dXBObsMfWwAAOpWLBZTJBLR3r179dRTT+mDDz7QXXfdJYk+NgAA9cnhcnYZ+tgAANStPXv26A9/+IOmT5+uVq1aHTKffjYAAHXvSPm6DH1sAAAavpoPu3Icyc3NVYcOHQ6ZnpqaWj4fAAAcW8nJybr11ls1aNAgpaWlaf369XrkkUc0aNAgvffeexo6dGh5ji7L2QdKTU2VaZrKz89XixYtjnX4AAAct2qSn3Nzc+V2uxUfH19pW/rjAAAcPb169VKvXr3UvXt3SdLixYv16KOP6pNPPtHSpUuVkJAgSeRrAACOkQkTJqi4uFj33nuvJPrXAADUVwfnbIk+NgAA9cGNN96oZ555RpLkcrn0+OOP6/e//70k+tgAANQnh8vZEn1sAADqgxtvvFEnnHCCbrjhhkrn088GAKDuHSlfS/SxAQBoLCgadwSGYfyieQAA4Ojo06eP+vTpU/77GWecoYsvvlg9evTQnXfeqaFDh5bPI48DAFD/VDc/k8cBAKgbt912W4XfzzvvPPXp00eXXXaZ/vnPf1aYT74GAODouu+++zRr1iw98cQT6tevX4V59K8BAKg/qsrZ9LEBAKh799xzj6699lrt2bNH77zzjm666SYVFxfr9ttvL29DHxsAgLp3pJxNHxsAgLr1+uuv65133tH3339/xHxKPxsAgLpR3XxNHxsAgMbBVtcB1GdpaWmVVrjNy8uTVHnFewAAcOw1adJEI0aM0IoVKxQIBJSWliZJVeZxwzDUpEmTYxwlAADHt5rk57S0NAWDQZWUlFTalv44AADH1sUXX6z4+HgtWbKkfBr5GgCAo2vq1Kl64IEHNG3aNN10003l0+lfAwBQv1SVs6tCHxsAgGOrTZs2OumkkzRs2DDNnDlT119/vSZOnKi9e/fSxwYAoB45XM6uCn1sAACODb/frwkTJujmm29WZmamCgoKVFBQoFAoJEkqKChQcXEx/WwAAOpQdfN1VehjAwDQ8FA07jB69OihNWvWKBKJVJi+cuVKSVL37t3rIiwAAFAJ0zQlWdXpO3bsqLi4uPKcfaCVK1cqKytLHo/nWIcIAMBxrSb5uUePHuXTD7R7927l5OTQHwcAoA6Ypimbbf8lBfI1AABHz9SpUzVlyhRNmTJF99xzT4V59K8BAKg/DpezD4c+NgAAdad///6KRCLauHEjfWwAAOqxA3P24dDHBgDg6MvJyVF2drZmzJihlJSU8v+zZ89WcXGxUlJSdNVVV9HPBgCgDlU3Xx8OfWwAABoWisYdxsUXXyy/36/XX3+9wvQXX3xRmZmZGjBgQB1FBgAADpSfn693331XvXv3lsfjkcPh0MiRIzVv3jz5fL7ydlu3btWiRYt0ySWX1GG0AAAcn2qSn88//3x5PB698MILFdbxwgsvyDAM/eY3vzlGUQMAAEmaO3euSkpKNHDgwPJp5GsAAI6Ov/zlL5oyZYomTZqkyZMnHzKf/jUAAPXDkXJ2VehjAwBQtxYtWiSbzaYOHTrQxwYAoB47MGdXhT42AADHRvPmzbVo0aJD/g8dOlQej0eLFi3SAw88QD8bAIA6VN18XRX62AAANDyOug6gPrvgggt03nnn6YYbblBRUZGysrI0e/ZsLViwQC+//LLsdntdhwgAwHFnzJgxatOmjU466SSlp6fr559/1owZM5SdnV3h5MPUqVN18skna8SIEbr77rsVDAZ1//33Kz09XX/605/q7g0AANBIzZ8/X8XFxeUX+VevXq25c+dKkoYNGyav11vt/JyamqpJkybpvvvuU2pqqoYMGaKlS5dqypQpuvbaa9W1a9c6eY8AADR0R8rXe/fu1ZgxY3TllVcqKytLhmFo8eLFeuyxx9StWzdde+215esiXwMAUPtmzJih+++/X+eff76GDx+uJUuWVJhfdlMe/WsAAOpWdXL2li1b6GMDAFCHrr/+eiUlJal///5q1qyZcnJy9Nprr+k///mP7rjjDmVkZEiijw0AQF2rTs6mjw0AQN3yeDwaNGjQIdNfeOEF2e32CvPoZwMAUDeqm6/pYwMA0HgYpmmadR1Efeb3+3Xvvfdqzpw5ysvLU5cuXTRx4kRdeeWVdR0aAADHpenTp+s///mPNm3aJL/fr9TUVJ1++umaOHGiTj755Aptv/vuO91111366quv5HA4dPbZZ+tvf/ubOnbsWEfRAwDQeLVr105btmypdN6mTZvUrl07STXLz48//riefPJJbd68Wc2bN9e4ceN07733yul0Hs23AgBAo3WkfJ2cnKzx48fr+++/V3Z2tqLRqNq2bauLL75Y99xzj5KTkw9ZjnwNAEDtGTRokBYvXlzl/AMv7dO/BgCg7lQnZ+fn59PHBgCgDj3//PN6/vnntWbNGhUUFCghIUG9evXStddeq6uvvrpCW/rYAADUnerkbPrYAADUT2PHjtXcuXPl9/srTKefDQBA/XFwvqaPDQBA40HROAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACox2x1HQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoGoUjQMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAeoyicQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABQj1E0DgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADqMYrGAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEA9RtE4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKjHKBoHAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPUYReMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoB6jaBwAAAAAAAAAAAAAAAAAAL/Q5s2bZRiGxo4dW6PlDMPQoEGDjkpMAAAAAAAAAAAAAAAAAIDGh6JxAAAAAAAAAAAAAAAAAIAGq6xo24H/XS6XWrdurTFjxmjFihV1EtegQYNkGEadvDYAAAAAAAAAAAAAAAAAoPFx1HUAAAAAAAAAAAAAAAAAAAD8Wh07dtTVV18tSfL7/VqyZIlmz56tefPmaeHChTr11FOPyuu2bNlSa9asUXJyco2WW7Nmjbxe71GJCQAAAAAAAAAAAAAAAADQ+FA0DgAAAAAAAAAAAAAAAADQ4GVlZWnKlCkVpk2aNEnTpk3Tvffeq0WLFh2V13U6nerSpUuNl/slywAAAAAAAAAAAAAAAAAAjl+2ug4AAAAAAAAAAAAAAAAAAICj4eabb5YkLV26VJIUiUT06KOPqlevXoqLi1NycrIGDx6s995775BlY7GYnnvuOfXv31+pqanyer1q166dfvOb3+izzz4rb7d582YZhqGxY8eWTzMMQ4sXLy7/uez/wW0GDRp0yOvm5ubqtttuU/v27eV2u9W0aVNdccUVWr169SFtx44dK8MwtHnzZj311FM68cQT5fF41LZtW02dOlWxWOyXbDYAAAAAAAAAAAAAAAAAQD3kqOsAAAAAAAAAAAAAAAAAAAA4GgzDKP/ZNE1dccUVmjdvnjp37qwJEyaouLhYc+bM0YgRI/SPf/xDt9xyS3n7iRMn6uGHH1bHjh01ZswYJSYmaseOHfr888+1cOFCnXnmmVW+7uTJk/XCCy9oy5Ytmjx5cvn03r17Hzbe3NxcDRw4UOvXr9egQYN05ZVXavPmzZo7d67ee+89ffTRRzrllFMOWe6OO+7Qp59+qhEjRmjIkCF68803NWXKFIVCIU2bNq0GWwwAAAAAAAAAAAAAAAAAUF9RNA4AAAAAAAAAAAAAAAAA0Cg9/vjjkqSTTz5ZL7/8subNm6ezzjpLH374oVwulyTp3nvvVb9+/XT77bdr5MiRat++vSTpueeeU8uWLbVixQp5vd7ydZqmqfz8/MO+7pQpU/Tpp59qy5YtmjJlSrXjvfPOO7V+/XpNnDhRDz74YPn0sWPH6vzzz9c111yjtWvXymazVVjuu+++04oVK9SiRQtJ0n333adOnTrpiSee0OTJk8vfKwAAAAAAAAAAAAAAAACg4bIduQkAAAAAAAAAAAAAAAAAAPXb+vXrNWXKFE2ZMkW33367Tj/9dE2bNk0ej0cPPvigXnjhBUnSww8/XKGIWqtWrXTbbbcpHA5r1qxZFdbpcrnkcFQcm9UwDKWmptZ6/KFQSLNnz1ZaWpomTZpUYd7QoUM1dOhQ/fzzz/rvf/97yLL33XdfecE4SUpPT9dFF10kn8+ndevW1XqsAAAAAAAAAAAAAAAAAIBjj6JxAAAAAAAAAAAAAAAAAIAGb8OGDZo6daqmTp2qxx9/XFu2bNGYMWP0zTff6JRTTtH333+vuLg49e/f/5BlBw0aJElavnx5+bTLL79cmzZtUvfu3XXffffp448/VnFx8VGLf+3atQoEAurfv7+8Xm+1YizTt2/fQ6a1atVKklRQUFCbYQIAAAAAAAAAAAAAAAAA6ghF4wAAAAAAAAAAAAAAAAAADd7QoUNlmqZM01QoFNK2bds0a9Ys9ejRQ5JUVFSkZs2aVbps8+bNJUmFhYXl0x5//HE9/PDDcjqdeuCBB3TeeecpPT1d11xzjXJycmo9/qKiIkmqUYxlkpOTD5nmcDgkSdFotLZCBAAAAAAAAAAAAAAAAADUIYrGAQAAAAAAAAAAAAAAAAAavaSkJGVnZ1c6r2x6UlJS+TSn06k77rhDP/74o3bs2KFXXnlFZ5xxhv7973/rqquuOirxHRhLdWIEAAAAAAAAAAAAAAAAABw/KBoHAAAAAAAAAAAAAAAAAGj0+vTpo0AgoG+++eaQeYsXL5Yk9e7du9JlMzMzNXr0aC1YsECdOnXSxx9/rEAgcNjXs9vtkqRoNFqt+Lp06SKPx6OlS5eqpKSkxjECAAAAAAAAAAAAAAAAABo3isYBAAAAAAAAAAAAAAAAABq9a665RpI0ceJEhcPh8uk7duzQ3//+dzkcDl111VWSpNLSUi1cuFCmaVZYR3FxsXw+n5xOZ3lRuKqkpqZKkrZv316t+Fwul0aPHq2cnBz99a9/rTDv448/1vz585WVlaXTTjutWusDAAAAAAAAAAAAAAAAADQujroOAAAAAAAAAAAAAAAAAACAo+23v/2t5s2bp7feeks9e/bUiBEjVFxcrDlz5ig3N1czZsxQhw4dJEmBQEDnnHOOOnTooAEDBqhNmzby+/169913tXv3bt11111yuVyHfb2zzz5bc+fO1ahRozRs2DB5PB716NFDw4cPr3KZhx56SIsXL9YDDzyg//73vxowYIA2b96suXPnyuv16vnnn5fNxlixAAAAAAAAAAAAAAAAAHA8omgcAAAAAAAAAAAAAAAAAKDRMwxDc+fO1T/+8Q+9+OKLeuKJJ+RyudS3b1/98Y9/1IUXXljeNj4+Xg899JA++eQTff7559qzZ49SUlLUpUsXPfTQQ7riiiuO+HrXXXedNm/erFdffVXTpk1TJBLRNddcc9iicRkZGfr666/1l7/8RW+99ZY+//xzJScn66KLLtLkyZPVvXv3WtkWAAAAAAAAAAAAAAAAAICGxzBN06zrIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlbPVdQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgKpRNA4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6jGKxgEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAPUbROAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACoxygaBwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD1GEXjAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKAeo2gcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANRjFI0DAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgHqMonEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUI9RNA4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA6jGKxgEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAPUbROAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACox/4/R+M7013JBmYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "crested.pl.patterns.contribution_scores(\n", + " scores,\n", + " one_hot_encoded_sequences,\n", + " sequence_labels=\"\",\n", + " class_labels=[\"Oligo\"],\n", + " zoom_n_bases=500,\n", + " title=\"synth Oligo\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### L2 optimizer" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 30/30 [01:01<00:00, 2.04s/it]\n" + ] + } + ], + "source": [ + "def L2_distance(\n", + " mutated_predictions: np.ndarray,\n", + " original_prediction: np.ndarray,\n", + " target: np.ndarray,\n", + " classes_of_interest: list[int],\n", + "):\n", + " \"\"\"Calculate the L2 distance between the mutated predictions and the target class\"\"\"\n", + " if len(original_prediction.shape) == 1:\n", + " original_prediction = original_prediction[None]\n", + " L2_sat_mut = pairwise.euclidean_distances(\n", + " mutated_predictions[:, classes_of_interest],\n", + " target[classes_of_interest].reshape(1, -1),\n", + " )\n", + " L2_baseline = pairwise.euclidean_distances(\n", + " original_prediction[:, classes_of_interest],\n", + " target[classes_of_interest].reshape(1, -1),\n", + " )\n", + " return np.argmax((L2_baseline - L2_sat_mut).squeeze())\n", + "\n", + "\n", + "L2_optimizer = crested.utils.EnhancerOptimizer(optimize_func=L2_distance)\n", + "\n", + "target_cell_type = \"L2_3IT\"\n", + "\n", + "classes_of_interest = [\n", + " i\n", + " for i, ct in enumerate(adata.obs_names)\n", + " if ct in [\"L2_3IT\", \"L5ET\", \"L5IT\", \"L6IT\"]\n", + "]\n", + "target = np.array([20 if x == target_cell_type else 0 for x in adata.obs_names])\n", + "intermediate, designed_sequences = evaluator.enhancer_design_in_silico_evolution(\n", + " target_class=None,\n", + " n_sequences=5,\n", + " n_mutations=30,\n", + " enhancer_optimizer=L2_optimizer,\n", + " target=target,\n", + " return_intermediate=True,\n", + " no_mutation_flanks=(807, 807),\n", + " classes_of_interest=classes_of_interest,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 50ms/step\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "idx = 0\n", + "prediction = evaluator.predict_sequence(designed_sequences[idx])\n", + "crested.pl.bar.prediction(prediction, classes=list(adata.obs_names))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-12-12T10:24:07.129049+0100 INFO Calculating contribution scores for 4 class(es) and 1 region(s).\n" + ] }, - "nbformat": 4, - "nbformat_minor": 4 - } - \ No newline at end of file + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Region: 100%|██████████| 1/1 [00:05<00:00, 5.20s/it]\n" + ] + } + ], + "source": [ + "scores, one_hot_encoded_sequences = evaluator.calculate_contribution_scores_sequence(\n", + " designed_sequences[idx], class_names=[\"L2_3IT\", \"L5ET\", \"L5IT\", \"L6IT\"]\n", + ") # focus on two cell types of interest" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "crested.pl.patterns.contribution_scores(\n", + " scores,\n", + " one_hot_encoded_sequences,\n", + " sequence_labels=\"\",\n", + " class_labels=[\"L2_3IT\", \"L5ET\", \"L5IT\", \"L6IT\"],\n", + " zoom_n_bases=500,\n", + " title=\"\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "crested", + "language": "python", + "name": "crested" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}