combined_dataset_engineering.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import omegaconf\n",
    "from shell.utils.experiment_utils import *\n",
    "from shell.fleet.utils.fleet_utils import *\n",
    "from shell.utils.metric import *\n",
    "import matplotlib.pyplot as plt\n",
    "from shell.fleet.network import TopologyGenerator\n",
    "from sklearn.manifold import TSNE\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from shell.fleet.fleet import Agent, Fleet\n",
    "from shell.fleet.data.data_utilize import *\n",
    "from shell.fleet.data.recv import *\n",
    "\n",
    "from sklearn.manifold import TSNE\n",
    "from torchvision.utils import make_grid\n",
    "from shell.fleet.data.data_utilize import *\n",
    "import logging\n",
    "from sklearn.metrics import f1_score\n",
    "import os\n",
    "from shell.fleet.data.recv_utils import *\n",
    "from tqdm import tqdm\n",
    "import argparse\n",
    "from functools import partial\n",
    "from torchvision.utils import make_grid\n",
    "from shell.utils.oodloss import OODSeparationLoss\n",
    "from pythresh.thresholds.dsn import DSN\n",
    "from pythresh.thresholds.aucp import AUCP\n",
    "from pythresh.thresholds.boot import BOOT\n",
    "from pythresh.thresholds.zscore import ZSCORE\n",
    "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score\n",
    "from collections import defaultdict\n",
    "\n",
    "from shell.fleet.network import *\n",
    "logging.basicConfig(level=logging.INFO)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# modmod\n",
    "# experiment_folder = \"combined_data_experiment_results\"\n",
    "# experiment_name = \"leep_jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True\"\n",
    "# dataset = \"combined\"\n",
    "# algo = \"modular\"\n",
    "\n",
    "# topology\n",
    "# experiment_folder = \"new_topology_experiment_results\"\n",
    "# experiment_name = os.path.join(\"modmod\", \"topology_server_edge_drop_0.0\")\n",
    "# dataset = \"cifar100\"\n",
    "# algo = \"modular\"\n",
    "\n",
    "experiment_folder = \"experiment_results\"\n",
    "experiment_name = \"jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True\"\n",
    "dataset = \"cifar100\"\n",
    "algo = \"modular\"\n",
    "\n",
    "\n",
    "use_contrastive = False\n",
    "num_trains_per_class = 64 if dataset != \"cifar100\" else 256\n",
    "seed = 0\n",
    "num_tasks = 10\n",
    "parallel = False\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def modify_cfg(net_cfg, agent_cfg, train_cfg, fleet_additional_cfg, cfg):\n",
    "    # cfg.sharing_strategy[\"sync_base\"] = False\n",
    "\n",
    "\n",
    "    cfg.sharing_strategy = DictConfig({\n",
    "        \"name\": \"modmod\",\n",
    "        \"num_coms_per_round\": 2,\n",
    "        \"module_selection\": \"gt_most_similar\",\n",
    "        \"pre_or_post_comm\": \"pre\",\n",
    "        \"ranker\": \"label\",\n",
    "        \"module_select\": \"tryout\",\n",
    "        \"num_shared_module\": 1,\n",
    "        \"num_tryout_epochs\": 10,\n",
    "        \"max_num_modules_tryout\": 1,\n",
    "        \"sync_base\":True,\n",
    "    })\n",
    "    return net_cfg, agent_cfg, train_cfg, fleet_additional_cfg, cfg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 0, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 0\n"
     ]
    },
    {
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      "INFO:root:task 8 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n"
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      "INFO:root:task 9 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n"
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      "INFO:root:task 18 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
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      "INFO:root:task 9 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n"
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      "INFO:root:task 19 :(1280, 3, 32, 32) (455, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 6 30 52 18 83 48  1 71 97 53  5 31 72 49 11 40 59 27 14 75 63 41 93 74\n",
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      "INFO:root:task 8 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n"
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      "INFO:root:task 13 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
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      "INFO:root:task 17 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [31  6 72  5 12 20 71 70 26 66 52 42  2 47 56 86 21 33 76 16 80 98 97 79\n",
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      " 37  4  3 63 67 65 59 62 54 36 61 94 89 75 74 30 78 46 85 22 17 81 57 44\n",
      " 45 82 38  1]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n"
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      " 45 82 38  1]\n"
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      "INFO:root:task 10 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (446, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 6 82 28 87 50 48  2  1 85 73 62 18 67 45 79 71 44 70  7 35 33 22  3 84\n",
      " 14 58 24 91 83 72 59 90 41 51 43 25 29 92 63 56 46 47 26  0 39 17 34 97\n",
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      "INFO:root:task 0 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n"
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      "INFO:root:task 13 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [66 65 15 81 88 34 41  4 33 29 76 82 38 94 85 57 86 11 95 78 77 67 53 75\n",
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      "INFO:root:task 0 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (539, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n"
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     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
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     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
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      " 14 28 56 22 85 81 26 79 66 54 92 52 43 97 87 10 80  4 33 46 29 88 84 41\n",
      " 31 38 13 42]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (533, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n"
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      " 31 38 13 42]\n"
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 0\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420000\n",
      "Setting seed 0\n",
      "Setting seed 1000\n",
      "Setting seed 2000\n",
      "Setting seed 3000\n",
      "Setting seed 4000\n",
      "Setting seed 5000\n",
      "Setting seed 6000\n",
      "Setting seed 7000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    }
   ],
   "source": [
    "save_dir = get_save_dir(experiment_folder, experiment_name,\n",
    "                        dataset, algo, num_trains_per_class, use_contrastive, seed)\n",
    "\n",
    "fleet = setup_fleet(save_dir, task_id=None, parallel=False, modify_cfg=modify_cfg)\n",
    "fleet.change_save_dir('combined_dataset_engineering_experiment_results')\n",
    "set_color(fleet)\n",
    "communication = get_communication(fleet)\n",
    "edge_widths = set_weight(fleet, communication)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.        , 0.11111111, 0.25992063, 0.18055556, 0.11111111,\n",
       "        0.25      , 0.25      , 0.25      ],\n",
       "       [0.18055556, 0.        , 0.15740741, 0.25      , 0.25      ,\n",
       "        0.        , 0.18055556, 0.25      ],\n",
       "       [0.26322751, 0.18055556, 0.        , 0.18055556, 0.11111111,\n",
       "        0.25      , 0.25      , 0.        ],\n",
       "       [0.11111111, 0.18055556, 0.18055556, 0.        , 0.25      ,\n",
       "        0.25      , 0.18055556, 0.        ],\n",
       "       [0.25      , 0.18055556, 0.11111111, 0.25      , 0.        ,\n",
       "        0.11111111, 0.25      , 0.18055556],\n",
       "       [0.18055556, 0.18055556, 0.11111111, 0.25      , 0.15740741,\n",
       "        0.        , 0.18055556, 0.25      ],\n",
       "       [0.15740741, 0.11111111, 0.18055556, 0.15740741, 0.18055556,\n",
       "        0.25      , 0.        , 0.2037037 ],\n",
       "       [0.18055556, 0.19444444, 0.        , 0.11111111, 0.25      ,\n",
       "        0.        , 0.2037037 , 0.        ]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "communication"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.26322751, 0.18055556, 0.        , 0.18055556, 0.11111111,\n",
       "       0.25      , 0.25      , 0.        ])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "communication[2, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>12</th>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>18</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    task_id  source_task_id  task_sim  module_id  neighbor_id\n",
       "0         5               4  0.111111          4            4\n",
       "1         6               4  0.111111          4            0\n",
       "2         7               4  0.111111          4            4\n",
       "3         8               5  0.250000          5            6\n",
       "4         9               4  0.111111          4            3\n",
       "5        10               4  0.111111          4            1\n",
       "6        11               5  0.250000          5            1\n",
       "7        12              11  0.428571         11            0\n",
       "8        13              11  0.250000         11            6\n",
       "9        14               4  0.250000          4            5\n",
       "10       15               6  0.250000          6            6\n",
       "11       16               9  0.250000          9            0\n",
       "12       17              15  0.250000         14            5\n",
       "13       18              15  0.250000         15            6\n",
       "14       19              18  0.250000         18            3"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agent = fleet.agents[2]\n",
    "agent.modmod_record.df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "TopologyGenerator.plot_graph(fleet.graph, node_color_attr='dataset',\n",
    "                            edge_color='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7Sun6+/vR3Nxs2ACDgoKwaNEiu9/89fT19WFwcBBJSUmTlmT29vbit99+w969e2c8V2A2dHd3IyMjY9bvj4yMxO3bt81okWNCxACB4CAExPljQDDE2PqB8cy4cXt7e9Ha2mrY7ENCQhxq89cjlUrR2tqKsLCwCVUCem7cuAGJRIIvv/zSKr+fkZERkyc7Otrf0VIQMUAgOAghyYEYahJCx0BFAceZA78oy4/zBcbvNDs6xlsu0zSN8PBwh9z89eh0OtTX18PDw2NKEaCfK7Bq1SqkpqZazbbnz58T9z5LIGKAQHAQQlODUFsqePeB5oYCghMDweFaJvu+s7MTnZ2dhseRkZFYtGiRRdayNdrb2zE6Oor09PQpywFfvHiBmpoafPDBB1ZtiUzTtKE801SCg4MxMDBglbCGvULEAIHgIMQujIazuxPUY1bO6qeB9PVJZjtde3s7uru7DY+jo6NJWdobCIVC9PT0TFoqqOf1uQLHjh2zsoXjXoH58+eb5Vzz5s1DRUUFNm3aZJbzOSJEDBAIDoKzqxPS1iWhtlRg1fkEzu7OSFw6+Yb0LmiaRmtrK/r6+gx3kDExMWTznwKVSgU+n4/AwMApQwLAeBvfP/74AwcOHICfn5/1DHyNkZERs60dEhKCgYEBs5zLUSFigEBwIDI3p1o3VEABWVtSpz1znqZpNDc3Y3Bw0FDnHx8fTzb/aSAQCEDT9KSlgnr0cwW4XC4+//xzK1v4N3p6ehAeHs7Y+oSJEDFAIDgQvuHemHcgB89/qLL8YhTgHeyJvL1ZUx5C0zQaGxshFAoNzyUkJCApyXxhBXunp6cHQqEQycnJcHNzm/K44eFh/PjjjygsLJwydGAt6urqZjyHgGBZiBggEByMObsy0fKoA8PtYsuGC2hAFNuHYbHQMPWOpmkIBAIMDw8DGC8LS0pKQkpKiuXssFNGR0fR1taG8PDwt4YEAODBgwdob2/HZ599xvgMBbVabZEJjpGRkeju7kZkZKTZz+0IkBHGBIIDMtguxOX//Qa0Sp3FBMHC9/KQtS0Vf/7zn+Hu7o68vDxQFIWUlBQEBgZaZE1HQF8q6Onpifj4+Lceq1QqcfbsWeTn5yMvL89KFr6d8vJyLFiw4K1ejNkgEolQXl6O7du3m/W8jgLxDBAIDsbo6Ch6xF3Y8Y8bUfL/ugmVTG12QRC61B9j4RI8f/4cH374ITo6OvD8+XMcPXrUquVr9kZraytkMhkyMjLeOSipvr4e9+/fx5EjRyw6V2CmKJVKswsBYHyGhFgsNvt5HQUiBggEB0IoFGJgYAC5ubkAgB3/34248Y/3IOocAUzVAxRAcYD8I9nIL8o1esnf3x9JSUn49ttvsWbNGiQnJ5u4mGMxNDSE3t5exMXFvdMbQNM0fv75ZwQGBuLTTz+1koXTo6GhgfztWYr9zOAkEAhvpbe3FyKRyGgojF+kD3b935uRvy8bFIcCNYthQtQ/X0VCUoKw739tmyAE9Hh6euKzzz5DU1MTLl26BBKhfDdKpRLV1dVQqVTIzs6Gt7f3W4/v7e3FV199hZUrV2Lt2rVWsnL6tLe3Iy4uzqJrkM/V7CA5AwSCA9DR0QGKohAdHT3lMaIOMWqvCCC40wKtSjs+6XCqq4NeM9DjnQ2zClORsCR22l0G29racOXKFRw+fBi+vr4z+lkcAX2iJYfDmXZy5c2bNyEWi7F7925Wtl6WSqWorq62aJloeXk5oqOj3+k9IUyEiAECwc5pamqCl5cXwsLC3nmsWq1G1Ysq3P7hHrw1fvBQeUM5rDISBW4+rghODoRHuBtGPUTYemjLrOzSaDQoLi5GVlYW5s2bN6tz2CPd3d0QCoVITU2Fq6vrO4+XyWQ4e/YsVqxYYdIoYEtz69YtrF69+p25DqYwOjqKGzduYNeuXRZbw14hOQMEgh1TX1+PsLAwBAQETPq6SqVCbW0tFAoFAMDZ2RmZuZngNfEQERGBNWvWQKvWQqPUQKel4eTCNRpFfObMmVnb5uTkhPfffx+PHj1CcXExDhw4wHjZG5NIJBK0t7cjIiICOTk503pPRUUFqqqqrD5XYKbQNA2dTmdRIQAA3t7ekEqlFl3DXiFigECwQ2iaRlVVFZKSkuDl5WV4XqlUora2FkqlEgDg4uKCrKwso+zu7u5uUBRlcLVynbngOk++SXM4HGi1WpM28cWLFyMtLQ1/+ctfUFRU5HB14lqtFjweD15eXu/sF/D6e86dO4eEhAR88MEHFrbQdF69eoW5c+cybQbhLRAxQCDYGTqdDhUVFcjJyQFN03jx4gXUajWAv23+b3M/P3z4EMHBwdOKuxYUFODJkydYsmSJSTYHBATgyy+/xG+//QY/Pz9WJr9ZgpaWFoyNjU2rVFBPa2srrl27hgMHDsDf39/CFpoHoVBoNTFAUZRVvBD2BhEDBIIdMTIyggsXLiApKQkvX76Eq6srcnJyZuRCVqlUcHZ2nlYSWlJSEh49emSyGADGL+K7d+9GXV0dvv76axw9etQi9ehsYHBwEL29vYiPj39nhYAemqZRUlICiqLw+eefszJJcDIGBgYQHBxstfWSk5PR1NREulrOECIGCAQbRi6Xo7a2FlqtFjKZDIODgzh48OCs48dKpRLOzs7vPvANzDWXHgAyMzORkJCAM2fOYOnSpcjIyDDLedmAQqFAQ0MDgoODp50XAIx31zt37hy2bNli8dI8c1NVVWVVT8+cOXNQUlJCxMAMIWKAQLAhpFIp6urqoNVqAQAeHh6YO3cuJBIJent7Tb7oPnjwAGlpaTNysWZlZaG+vh6ZmZkmrf067u7u+OSTT3Dz5k3U19dj165dNnMnPBmvlwrORAQA43+TtrY2VswVmClarRYcDseqfzt3d3eMjY1ZbT17gYgBAoHFjI6Ooq6uDjqdDhRFwcPDA/n5+UaDXvr7+yGRSMyyGff29oLD4WDFihXTfk9eXh6Ki4vNKgb0rFu3Dt3d3fjqq69w8ODBKasi2ExXVxdEIhFSU1Nn5LFRKpUoLi5GXl4eDh8+bEELLcfjx4+xaNEips0gTAMiBggEFjEyMgIejweapkHTNLy9vTF//vwp7wg7Ozuh0+nM1uJVv+5MPAMURVm061tkZCQ+//xz/Pjjj0hMTLSZzWVkZAQdHR2IjIxEVFTUjN7L4/FQXl6Ow4cPw9PT00IWWh65XM7IXAQulwuNRmOR6Yj2Cmk6RCAwiFgsNmz+AODr64v09PRpbcbNzc3w8PBAeHi4WWxpbm5GX18flEolVq9ePaP33r17F0lJSW/tcGgOnj9/jrq6Ohw+fJi1F3qtVov6+nr4+PggNjZ2Ru+laRq//PILAgICbL6iorm5GTRNIykpyeprV1RUwNXVFVlZWVZf21YhYoBAsCLDw8MQCASGzd/Pz2/GMXoA4PP5CAoKQlBQkNls+/HHH7Fp0yY0NDRgwYIFM3qvRqPBzz//jIMHD5rNnqkYGRlBcXExCgsLZ7zZWprm5mYolUqkp6fPOE7e19eHX3/9Fbt3755Wt0i2c/PmTaxbt46RtVUqFX777TccOHCAkfVtEXZKawLBThgaGkJDQ4PhcUBAAAoKCkxKqKqurkZcXBx8fHzMYaIBjUaDmpoaLFy4cMbvdXJygkajMas9U+Hr64svvvgCly9fBo/Hw8aNG62y7tsYGBhAf38/EhISZuXWv3XrFkQiEb788kubTpTUMzY2xmhZqIuLC1QqFWPr2yJEDBAIZmRgYABNTU2GC3pgYCAWLVpklgs8TdOoqKiY0DHQHOhju2q1etZlif7+/hgeHrZKkh9FUdi+fTsaGhpw4sQJHDlyhJHY+tjYGJqamhAcHDzt7oGvI5PJUFxcjOXLl9t8WOB1Hj9+jOXLlzNtBmEGEDFAIJhAf38/mpubDY9DQkLMtvm/jlqtRmVlJebOnWuR8rJ79+5hxYoVqK6unvU5Vq9ejWvXrmH37t1mtOztpKSkIDY2FsXFxZg3bx5ycycfn2xuaJoGj8eDs7PzrEQAALx8+RKVlZV4//33pzWQyJbQarWM53Q4OztDpVKxemYDmyBigECYAT09PWhrazM8DgsLs8jm/zpyuRx8Ph/z5s2z2DpDQ0Pw9vaeVcMhPZ6enozUd7u6uuLDDz9EWVkZzp8/j3379ln079HZ2QmxWIy0tLRZ/b70cwXi4+NtYq7ATKmqqppxLwVLkJ2djdraWjITYZoQMUAgvIWuri50dHQYHkdERFh0HvubiMVidHZ2WvSCpk9mrKqqwpw5c0w6l5ubG8bGxuDu7m4Gy2bGypUr0d/fj6+++gp79+5FSEiIWc+v/1tERUXNumqira0NV69etam5AjNlYGDAah6at5Geno7z588TMTBNiBggEF6jo6MDXV1dhtr5yMhIq27+rzMwMACRSDRrN/R04fF4yMzMhFgsnnaf/KlYtWoV7ty5gy1btpjJupkRGhqKL774Aj/99BMiIyPNErfWaDTg8Xjw9fU16W9RUlICmqZtaq7ATBEKhaxpDOXk5GTo1El4N0QMEByatrY29Pb2Gu6OY2JiGNv8X6e7uxsqlQqpqakWX+vly5c4ePAgysrKTD5XUFAQhoeHTTfKBDgcDg4cOIBXr17hm2++wZEjR2YdN25qaoJKpUJWVtasN3CxWIxz585h06ZN05oEacu8fPnSrhIhHQkiBggOA03TaG1tRV9fH4DxjPTY2FjWdbRrbW2Fi4uL1TYOvRAy190qh8NhRfe3vLw8JCcn45tvvsG6detm1Pymv78fAwMDSExMNKmD3qNHj9Dc3IxPPvmE8d+HpdG3zGaT14PJsJWtQZoOEewWmqbR1NSEwcFBw3MJCQmsbugiEAgQEBBgtZGvIyMjuHfvHuLj4xEaGmqWOHtbWxs6OjpYVVp25coV6HQ6bN269a3HyWQyNDc3IzQ0FKGhobNeT6VSobi4GLm5ucjPz5/1eWyJR48eITs72+RQkzkRCAQQiUQoKChg2hTWY99SleBQ0DSNhoYGCIVCAON3uomJiWbr229pampqEB0dDT8/P6utqS8pfPHihdlyE+Li4lBeXs4qMbBlyxa0trbi+PHjOHz48ISGTTRNo76+Hq6uriZnwvP5fNy7dw+HDh2Cl5eXSeeyJaRSKauEAAAkJyfjhx9+IGJgGhAxQLBZaJoGn8+HSCQCML75JycnWyXObk5omsarV6+QlpZm9aEuEokEvr6+Zj+vPgGTTS7j+Ph4fPzxxyguLkZOTo7hjr2jowMjIyNIT083yZVP0zR+/fVX+Pr64tNPPzWX2TZBe3s761pDA+MhK51Ox7QZNgERAwSbQafTgc/nY2RkxLDRpKamIj09nWnTZo1Wq8XLly+Rl5dn9ZiyPsZriUhhbm6uWUoVzY2zszOOHTuGBw8e4OTJkygoKEBsbCxiYmJMOm9/fz9++eUX7Nq1y2yDo2yJhoYGxuYQEMwDEQME1qLT6VBfXw+JRAJgXOWnpqYiIyODYcvMw9jYGOrr6y3aTOhtvHr1Cnl5eWhtbTV7smJ2djbOnj3LOjEAjHdz9PHxQUFBAe7fv4+QkBCTQjO3b9/G0NAQvvjiixkPnLIHlEolq7v8eXl5QSqVOlTIZjYQMUBgDfrRr6Ojo4as5PT0dIu4sZlGIpGgra2N0eQyHo+HQ4cO4c6dOzMeWfwu2BQeeJ2GhgZoNBpkZ2eDoijk5OTg119/RUBAANasWTOjc8nlcpw9exbLli2b8XvtiUePHmHp0qVMmzElc+fOxcuXL1mVw8JGiBggMIZGo0FdXR3kcjlomgaHw0FmZibrkpDMzdDQEAYHBxlv2fp6TN8Sm3d8fLxFvA6zobe3F4ODg0hOTjYqM6MoCnv27EFtbS1OnTqFI0eOTGsI1KtXr/Dy5Uu7nCswUzQajUltrC0NGxNa2QgRAwSrodFoUFtbC7lcDgDgcrnIzMx0KPddT08PFAoF43kOg4ODCAoKsugaixcvxvnz5xkVA/pSwbCwsLeKr6ysLCQkJOD777/H8uXLp/z7aLVa/Pjjj4iNjcWHH35oKbNthrq6OtaH7djqpWIbRAwQLIZarUZtba1heI2TkxOysrKsnjHPFtra2sDlcpGQkMC0KSgvL8emTZvQ399v9h7+erhcLmPtYPWlgu7u7tP2wHh4eODTTz/FjRs3wOPxUFRUZLSRtLe3o7S0FAcOHGBNy12m6enpQWZmJtNmEMwAEQMEs6FSqVBTUwOlUglgPHM7KyuLdP8C0NjYCB8fH5Ma2ZgTuVwODw8PPHnyBCtXrrTYOkFBQRgcHLRaEyVgfNMeHR1Fenr6rMY9r1+/Hp2dnTh+/DgOHjwIf39/lJaWQqvV4osvviB3mv/MyMjIhH4NbMXPzw8ikchuh0OZAyIGCLNGqVSitrYWKpUKwN82/+nEXB2Juro6REREsOZCpNFoDJukPlfDUqxatQqlpaXYs2ePxdbQIxQK0d3djdjYWJNr3qOjo/HZZ5/h1KlTaGpqwhdffMEKjw6bePbsmc3MIZg3bx4qKipsxl4mIGKAMG0UCgVqamqgVqsBjM+Rz8rKcvgEqqmgaRqVlZVISUmBp6cn0+YYePr0qdU6srm7uxvCRJZCpVKBz+cjICDArEmZT58+hYeHB4qKinD//n3ExMTY/XyB6WLueRaWJiIiArdu3WLaDFZDPtmEKRkbG0NNTQ00Gg2A8aEfubm5rK4pZgs6nQ4VFRWs/H21tLRgyZIlGB0dtUrlhoeHh8XqvBsaGqDT6QylguZAP1cgJycHR48eBQBkZmbi5MmT2Lp1q8kNiuyBZ8+eYf78+UybMW1sRbQwCREDBAMymQy1tbWGpC93d3fk5eWxumyIjSiVStTU1CA/P5/VTWgqKyuxcOFCi6+zZs0a3L17951DgmZCb28vhoaGkJycbNawlEAgwN27d3H48GEj8eLn54cvvvgCFy9eRH19PTZu3Gi2NW0RiURi1RkaBMtDxIADI5VKUVdXB51OB5qm4eHhgfz8fOIKNYHR0VG0tLRg3rx5TJsyKd3d3YiMjAQwXu1hDa+Fv78/xGKxWc41OjqKtrY2hIWFmW2wEvC3uQI+Pj747LPPJj2GoigUFRVBIBDgxIkTOHr0qENWxnR3dyMiIoJpM2ZMcHAwBgYGLFY9Y+vY/VWf1tGQCeVQKzQATcPJzQleQZ6gOI7nNpJIJKivrzcM7vDy8sK8efNmlXFNmIhQKER/fz9yc3OZNmVKHjx4gKKiIquvy+VyoVarZ+1l0rem9vT0NKsIAICBgQH8/PPP2Llz57Q2udTUVMTFxeHMmTMoKCgwuz1sp76+3ibnEOiTCDdt2sS0KazELsWAsE2Exnut6OcPYah5GBqlxuh1rgsXQQkBCE0NQtKKOAQnBjJkqWUZGRlBfX29odOct7c35s+fTzZ/C9DX1wepVMr6BiwqlQouLi5QKpVWDf8sX74c9+/fn1Xb47a2NsPv1txhl9nOFXB1dcXHH3+Mu3fv4ueff8aePXscIi6tVqtt1nMYEhKCgYEBps1gLbb5V50EmqbR+qgD1Zd56OcPgeJQoHWTT2PTqrTo5w9ioHEI1Zd4CEoMQM62dCQtj7Npj4FIJAKfzzdk+vr6+mLhwoWsjlvbAx0dHQCApKQkhi15O0ql0lD5Ye2JglFRUbh79+6M3jM0NITe3l7ExsYiLi7OrPbo5wosWbLEpLkCq1atQl9fH7766ivs37/f4l0dmebRo0dYvHgx02YQLIBdiAGZUI6yf3qCrlc90IvzqYTA69Da8WOELcO486eH4N1oxMq/WwyfUNtojzs8PAw+n2947O/vTzZ/K9PU1ARPT0+bGFv74MEDw0AZqVTKyAyI1+chTIVSqYRAIEBgYKBFXPCVlZV48eIF3nvvPbMkH4aFheGLL77A+fPnER0djWXLlpnBSnaiUqlsupSYpulpfQYdEYq2xDBzK9L6pBN3/vQQWpV2WgLgbVAcChwnDlZ8WYDklcwPV3mTwcFBNDY2Gh4HBAQgNTWVfLAZgsfjISQkBIGBthFmKi4uxuHDhwHAIpMK30V9fT3kcvmUyZU0TUMgEICiKKSkpJj9c63Vag0btqWG1rx8+RKVlZU4cuSI3VXhCAQCuLm5mdzQiUlu3bqF9PR0QxIt4W/YtGdAcKcZZf/zMWAmOUPraGhVWtz500MoZSpkbUk1z4lnycDAAJqamgyPg4KCsGjRIrL5s4CqqiokJCTY5IRFnU7HyGcoPT0dZ8+enVQMdHd3QygUIjU11SJ3nh0dHSgpKcH+/fstKt7mzp2L5ORknD59Ghs2bLCrroUdHR02mTj4Ovn5+bh//z4RA5Ngs2Kg5XGHWYXAmzz8+jlcPJyRssp6X+a+vj60tLQAGC9jCg4OJps/y9DpdHj58iWys7Ntyl3a3Nxs2Jjq6uoYGS5DUdSEz7JEIkFbWxsiIiIsNtL5ypUrUKvVVpsr4O3tjc8//xylpaWor69HYWGhxde0NFKplFVdNGeLv78/RCIR02awEpsUA9IhGe7++ZHFhICee189QWhqEHwjLDOMo7u7G+3t7aAoCjRNIywsjGz+LEatVqOyspL1zYQm4+nTp9i3bx+A8XATU+VwSUlJaGxsREJCAurr6+Hl5WUxETAyMoIffvgBGzZsQGJiokXWeBuFhYVobm7G8ePHceTIEZv0Iul58uSJ1cNKBOtic2KApmnc+6cn0KosPxqV1tK4++dH2P6PG8xSZdDZ2YnOzk7D44iICJKZayPIZDI0NDRg3rx5NinWtFotK0pKFy5ciD//+c/YsGEDMjMzLSaqHj9+jIaGBnzyySeMlsIlJibi448/RnFxMXJzczF37lzGbJktNE1Dp9PZnAB+GySJcCI2JwZaHnagq7LXKmvROhr9giHwbzUhfX3yjN/f3t6O7u5uw+OoqCiy+dsgIpEIPT09yMvLY9qUWSGTyQyd8pjMFx4cHERfXx+8vLwsFqbQzxXIzs7Ge++9Z5E1ZoqzszOOHTuG+/fv44cffsCBAwdsamN9+fIl8vPzmTbDbMTHx6OtrQ3x8exLEmcSmxMD1Zfq39pDwOxQQPUlHtLWJb1VSdI0jba2NvT2/k2oxMbGks3fxunv78fIyAgjMXZzce/ePaxcuRIA0NraavWLoEKhQENDA4KCgpCdnY3e3l709fUhLCzMrOsIBALcuXMHhw8fZqVLftmyZRgcHMTx48exe/dus//8lmJ4eNiuxEBeXh5u3LhBxMAb2JQYELaKMNAgtO6iNCDukqCPN4jwjL/1tKZpGi0tLUYdreLi4sjmb0d0dnZCq9UiJSWFaVNMQigUGjLo29rasGrVKqusS9M0+Hw+OByOUV7AihUrcOHCBezfv99s6/z222/w8vLC559/bpZzWorg4GB8+eWX+OWXXxAUFMT6OHx/f7/d9fL39vaGVCpl2gzWYVNioKGsBRSXMjQLshYUl0LDnRZInUcwODhoSPhLSEjAokWLrGoLwTo0NzfD3d0d0dHRTJtiEpOFBawRK9WXCqalpU0YhuTq6gqVSmWWdQYHB/HTTz+hqKjIZsrFKIrC3r17UVNTg9OnT+PIkSOsrUypqqrC+vXrmTaDYAVsSgz08watLgSA8UTC1pftyNiXiOTkmecOEGwLPp+PoKAgu2gtW19fj6ysLKutNzIygo6ODkRGRr61SsDb2xsSiQQ+PrOv1Ll79y76+vpmPFeALWRnZyMxMRF//etfsXLlSqSmMtvX5E00Gg0rkk4tAUVRdpcUaSo285vQaXUYamWuPlQl0sDfN4Cx9QnWobq6GhEREXYhBADg1atXhhkElnT5arVa1NTUQCwWIzs7GwEBb/+urFmzBnfu3JnVWmNjY/j6668RFBRkc8l4b+Lh4YFPP/0Ura2tuHDhAqMJnm/y+PFjuw17pqSkGHVzJdiQGJAOyqxSTjgVtI6GuGuEsfUJloWmabx48QLJyckm3a2yjddLqOrr6y0yVbG5uRl8Ph9ZWVnTblXr4+MDiUQy47Wqqqrwww8/4OjRo3Y1Onjjxo3Iz8/H8ePHIRaLmTYHwHjip7u7O9NmWITc3FxUVlYybQarsBkxoFZo3n2QhXlzFDLBPtBoNHjx4gXmzJljVxe/kZER+Pr6Gh7TNG3Wu+iBgQFUV1cjNDQUmZmZM85FcHZ2hlKpnNaxOp0OP/zwA8RiMT766COzDBhiGzExMfj0009x+fJlPHv2jFFbXu9YaY+4u7tDoVAwbQarsBkxYOlug9MyQce0BQRzI5fLUV1djXnz5tnsnPapKCsrM5QUmpOxsTHU1NRAp9MhJycHXl6zm/K5cuVKlJeXv/O4zs5OHD9+HBs2bMCKFStmtZat4OTkhKNHj0Kn0+HMmTPQapnxhra0tDDStZHAHDZz9XNyY95UJzf7TKZxVPTJbrbYFW46vJ6gJ5FITK6915cKOjk5mcVFHx4ejlu3br31mKtXr0KpVOLLL790qI5xBQUFSE1NxYkTJ7B9+3ZERUVZbW25XG6Xnpc34XK50Gg0dncTMFtsxjPgHeIJjjOD5lKATzj7GpkQZoe+G549xZ1f581M6aqqKuTm5s76fJ2dnaitrUVSUpJZK2r0Wd1vIpFIcPz4caSkpKCoqMihhIAef39/fPHFF3j27Blu3LhhtXXtOXHwddLT08Hn85k2gzXYjBjgcDkIjPVjbH0nHw7O//IjfvnlF1RVVYHH40EgEJC4kw3S3d2N0dFR1pVymZOXL18aeTzUavWEev/pIBaLUVNTAy8vL2RnZ8PZ2dmcZmLBggUT4uNPnjzBhQsX8PHHHyMpKcms69kaFEVh586diI6OxsmTJzE2NmbR9WiaZs0cC0uTnZ2Nmpoaps1gDTblHwlJDcZQq8j6TYc4FBLy47DqvcWQSCSoqamBSqUyjLMNDw83ai1qLzXq9khrayucnZ3tOjkKAHg8Hg4fPjzr92s0GvB4PPj6+lrUe5KSkoKzZ8+ioKAAarUaxcXFyMzMZM1cAbaQnp6O+Ph4nD17FosWLbJY74iqqipDKaq94+LiYrbmV/aATYmB5BVxqLsisPq6tI5G0vI4AOMlUUuWLPnbazSNxsZGdHd3G2qE29vbER4ebnQn5ubmhpiYGJuuibZ1BAIB/P397a696mRQFGVwrSuVyhl5BZqamqBSqZCVlWU193xDQwNu377N2rkCbMDNzQ0ff/wxbt++jfr6euzZs8fsf5/BwUGHEQMEY2xKDISkBME/xg+iTrFVqwu8QjwRlRs+6WsURSElJcWof/3o6Ciqq6uhVCoNrYujoqLQ0NBg1FSEoijExsbaVTkbW6mtrUVUVBT8/PyYNsXiDA4OGnmmKisrp3WB7+/vx8DAABITEw1TDi0NTdPo7e3F3bt3WT9XgC2sWbMGPT09+Oqrr3DgwAHD3AlTGRoaemezKHvD2dkZKpVqViE0e8OmxABFUcjZnoZ7//TEquvKgsWo59VPe3Kdt7f3BO9Bc3OzkffA09MT2dnZ6O/vn5B3EBgYiODgYPP9AA4MTdN49eoV0tLSrLbBMc29e/ewZcsWw2OZTPbW8j+5XI7m5maEhIRYNaFSP1dg//79uHfvntXWtQciIiLwxRdf4Mcff0RcXJzR9Wa2vHz5EuvWrTODdbZDdnY2amtr7baiaCbYlBgAgJRVCeDdaMJgo9DiY4wpDgW/aF/s+n9vxtNnT3Dq1CmsWrVqxklNFEUhKSnJ6H0ymQyVlZVQKBRGg49iY2MhFAqNslxpmoarqyvi4uJImGEGaLVavHz5EnPmzDF74hubmW7nOJqmUV9fD1dXV6tXVZSVlaG3t9dm5wqwAQ6Hg0OHDuHFixf49ttvceTIkVl/zvXVJ45WtZGeno7z588TMQAbFAMcLger/m4xfvl/lFpcDADA6r9fDK4TB4sXL8aiRYtQVlaGsrIyrF+/HjExMbM+r6enp1H5Dk3TaG1tRVlZmcF74OHhgdzcXEO3rMbGRkMZlv5LGxMT4zB3vDNBoVCgrq4O8+bNc6gL3JvDZbRa7aSbbUdHB8RiMTIyMqxaZz02NmZIgnu9IVJERAS6u7ttZvIgm5g3bx5SUlJw6tQpbNq0CfHx8TM+x5MnT1BQUGAB69iNk5MTY42d2AZFs2kyxgzg32zCvf9l2XDBog/zkbMtfcLzNE3j5s2b6OjowJYtWxAePnk+ganI5XJUVVVhbGzM4D2Ii4tDfHy8oT67s7NzQrlRQECAQyTJTYVEIkFra6tJdfW2yoMHDxAZGWnYEKqrqxEeHm4IO4lEInR2diI6Ohr+/v5Wta26uhpPnjzBkSNHJngu1Go1fvnlFxw8eNCqNtkbJSUl4HK52Lx584zed/PmTYcLEej5/vvvSfUKbNAzoCdtXRKUUhWe/PWlRc4/d1/2pEIAGL8rX79+PXQ6Ha5evYqBgQFs27bN7OWEHh4eWLRokeExTdNob2838h64u7sjJycHnp6ehuP0YYbXdZ6Liwvi4uLsvn5YKBRiYGDAIYUAMF46uXTpUsPjoaEh5OTkQK1Wg8fjwd/f/62jhS2BTqfD+fPnERERgU8++WTSY5ydnaHRkNkfprJ161Y0NTXh+PHjOHr06LRaRbe1tZnk5bR13NzcMDY25vCJ3DYrBgAgtygDLp7OuH/iGUDD5LABxRl3Jxe8Pxc52ycXAq/D4XBQWFgIjUaDkpISjIyMYMeOHRbLWKcoCnFxcYiLizM8NzY2hurqashkMsNzMTExSE1NNXKPKxQKNDU12XWYobe3F3K5HOnp7/7bORKNjY3QaDTIzs62esikq6sLFy9exP79+98plv38/CAWix2i4sOSJCUlISYmBsXFxZg7d+47K0kaGxsd1isAAHPmzEFVVZVDhklex2bDBK8j6hDjzp8eYahl2KTzuAW5YMt/WIughNmV16hUKly6dAkKhQJFRUWzHuBiCjRNo6OjAy0tLQbPgKurK3JzcyfYQ9M0Ojs7IZfLjZ739/dHaGio1Ww2B+3t7aAoyqHvcLq6utDY2IhVq1YBGBdHpaWlOHz4MCN3PdeuXcPY2Ni02wlLpVLcuHEDO3futIJ1jkF5eTm6u7uxb9++SXNHFAoFnj17huXLlzNgHTvQT8Q8cuQI06Ywik17BvT4x/ih6L9vRP0fjai+xMNovxQUh3qnp0B/jGeQB3K2peFx7wMExPnN2g4XFxfs2bMHCoUCFy5cAAAUFRVZdeiHvnfB63PlFQoFqqurIZVKDc9FRUUhOTl50s1zeHjYUM2gFxRsDjM0NjbCx8fH5gSMuXnw4AF27twJmUyG5uZmKBQKrFu3zupCQCKRoLi4GOvWrZvRHAMvLy+jzyjBdJYvX46BgQEcP34ce/bsmfAdefz4sVFYyRHhcDiTzsdwNOxCDADjVQZZW1KRuTkF3dV9aCxrRR9vEJLe0UmP9w71QmhaEJJXxCM6LwIUh0L4YDAuXLiAXbt2mWSLm5sbDhw4AKlUil9//RUuLi7YsWMHY40t3NzcsGDBAqPnOjs7jXIPXFxckJubC29vbwQEBExoPqJUKg1hhtfv8qKjo43yFaxNXV0dwsPDHa5ZymSoVCo0NDQY8kju3LmD+fPnW9WGp0+fgsfj4eOPP55VmZubmxsUCoVDTM2zFiEhIfjyyy/x888/IzQ01KiKQ6PROFTZLWFq7CJM8DbUY2qIukZw/coNrF69Gs5uTvCL8oGLx+Qb808//YR169aZdXMRi8W4dOkSvL29sW3bNlaOzFQqlaiursbo6N/EU0REBFJSUqasA58qzODn52c0q8ES0DSNyspKJCcnMxKOYRsNDQ24fPky/tW/+lcG782dO3ewevVqq6yvVqvxww8/ID09HQsXLpz1eQYHB1FRUYGNGzea0TqCnqqqKjx//hxHjhxBY2MjAgICEBERwbRZjPPbb79h/fr1Dt0K2+7FgJ4ff/wRBw4ceOdxGo0G3333HT7++GOz2zA0NISSkhIEBQVhy5YtrG+20t3dbdRC2dnZGbm5ufDx8Xnr+0QiEfr6+oyeM2eYQafToaKiArm5uQ7fRnR4eBjd3d1oaWnB/PnzjS7s1hIDjY2NuHnzJg4fPvzOz8Z0OHPmDI4ePWoGywiTIZPJcPbsWbi4uOCDDz5g2hxW0Nrais7OTofOnWDfLaoFUKvV074bd3JyQmZmpsnz3ycjKCgIx44dQ29vL7777jtERUVh/fr1rG2KExkZadQERqVSoaamBiMjIwDG8xPCwsKQmppqJGz8/f0n1LCrVCq0tLRMaPARFRU1ozt7lUqFqqoq5Ofns15MWRKVSgU+n4+AgABkZ2ejsrLSSAj09fVZPIeCpmlcuHABbm5u+OKLL8x2Xg6H4zBjdJnA09MT+/fvx1//+ldcunQJ27ZtY+01yFrExcXh/v37RAzYO+/qzf4mixcvxsmTJ5GTk2ORL0l4eDg+/PBDdHR04JtvvkFiYiJWrlzJ+i+ki4sL8vPzjZ7r7e1FeXk5aJoGTdNwdnZGdnb2hPIwFxeXCclkNE2jq6sLXV1dRs/7+voiLCxswu9DKpWiqanJ4boKvklDQwO0Wq1RqeCbvw8ej4cVK1ZYzIahoSH89NNP2L59O6Kiosx67sWLF5PENgvz/Plz/N3f/R06Ojpw/PhxHD58GL6+vkybxRj6pm6OjEOIAalUOuO48tatW1FSUoJt27ZZyKrxGv+PPvoITU1N+Oabb5Cenm6WgSPWJDw83KgDo1qtRk1NDcRiMYDxL1lISAjS09Mn3MlTFIXo6OgJ5xSLxUazGYBxQefs7OzQ41V7e3sxODiIlJQUowS7pqYmJCYmGh1L07TFPCdlZWXo6enB559/bpE1EhIS8PDhQyIGLIR+09NXHn366acoLi5GZmam1RNOCeyBiIEpiIiIwOjoKCQSiVnioG9DP8Sorq4Op06dQl5eHubNm2fRNS2Fs7PzhKEffX19KC8vN5TvODk5ITs7e8p2uH5+fkaehb6+Puh0Ori4uEwQCTMNM9giUqkUra2tCAsLm7R74LNnz7Bv3z6L26GfK7Bw4UKjjHRLoPc0ObIHyFI8e/bMqLrIyckJ77//Ph4/foyzZ8/i4MGDDhmi8fPzg0gksnqbbrbgEAmEL168gK+v74xqnoHxuOzZs2fx4YcfWsiyyXn16hUqKiqwcOFCq0+TswZqtRq1tbUQiUSG54KDg5GRkTHhItTR0QGapo36JuihaRrd3d1Gtek0TcPX1xfh4eE2v5HodDrU19fDw8MDCQkJUx5XXFyMw4cPGx5LJBIIBAKz3uXV1NTgyZMnVmtg9OrVK4NoJJiXt80hGB4exrlz51BUVORwQ6O6u7vB4/Gwdu1apk1hBIcQA2VlZUhNTZ3VQKGysjKEhoYy0uL2yZMnqK2txbJly5Cammr19a3JwMAA6uvrDd4DLpcLT09PREZGzvjvJhaL0dvba/Scs7Mz4uLiWFnWORltbW2QSqVIT09/612aTCbD9evXjbr23b9/HwsXLjRLpYV+rkB4eLihs6E1oGkaxcXFDt8Vztx0dXVBIpEgIyNjymNomsbvv/8OX19fh9oYaZrGmTNnHHZokW1cGU1kNmECPStXrsSJEyeQlpZm9TvNgoICFBQUoLy8HOXl5Vi7du2sxpPaAiEhIUaTFmtqajA8PAwejwcejwcACAwMRGZm5js39DfDDMC4N6K1tdWomoGmaURFRbGqtlgoFKKnpwexsbFGMyj00DQN6YAMg01CDDYPQ/CqAb6efvij/i5cPF0QlOCPkREpkE8BJmqB7u5uXLhwAfv27TNMPbQWtu7VYSs8Hu+dcwgoisKuXbtQX1+Pr7/+etIpk/aIo3/mHMIzcP78eezZs2fWcbD29nbU19dj06ZNZrZs+tA0jdu3b6OtrQ2bNm2yaxdeVVUV4uPjJ+RqDA0Noa6uzrChczgcZGZmznqjmirM4OPjg4iICKteHJRKJQQCAQIDAyf926qVGjTda0VtqQDD7WIAAMWlQGv/9vWlOBRA06Dp8dcSl8Yic3MqQlODZvyzXLt2DXK5HDt37mTsIllWVob4+PhJQ0SEmaNSqfDo0aMZ5Xvo80SWLl36Vm+CveDI44wdQgycO3fO5DnpZ86cwe7duxmf8EfTNK5du4a+vj4UFhYa3U3bOjRNo6KiAllZWdNqR6vValFXV4ehoSHDcwEBAcjKyjIpHDAyMoKenh7DY4qiwOVyERcXZ/bWrTRNo6GhAQCQkpIyYeOlaRq8G0148l0F1GMagAIwzW+sfvZGSHIgVv7dYvhHv7t0bHR0FGfPnsXatWuRkpIy0x/HrGg0Gvz8888mf3cJ49y7dw8FBQVwdXWd8Xtv3boFsViMXbt22fUd9NWrVzFv3jy7uq5OFyIGpolCocBPP/3EGtWo1WpRWlqK4eFh7Nixw+YzYNVqNSorKzF37lyTMpmFQiHq6uqg0WgAjHsPMjIyTP5yq9VqtLe3G84LjG/UkZGRs6426enpgVAoREpKyqQX6NFBGcr+xyP01PTP2m5gXBRQFDD/0Bzk7EgHhzt5OeCzZ89QV1eHw4cPs6Zf/dmzZ0negJl4W+LgdNCHjQ4ePGi3s0AGBgbw4sULbN68mWlTrA4RAzPgxo0bSExMnFDTzSRqtRqXL1+GTCZDUVERq+Lf00Uul4PP5yMvL8/sdx1arRb19fUYHBw0POfn54fs7GyTNzyaptHT02OY56D/Knl7eyMyMnLKn0UikaCtrQ0REREICgqa9JihlmGU/sdbUMnV75y+ORPiFkZj7f9zKbjOfxNcGo0GxcXFSE1NxaJFi8y2ljm4cuUKCgoKEBgYyLQpNg2fz4eHh4fJI761Wi1+/PFHJCQkYPHixWayjl04aqiAiIEZQNM0Tp48ic8++8wMVpkXpVKJCxcuQKvVoqioiPFwxnQRi8Xo6upCVlaW1dYUiUSoqakx3OVTFIX09HSzDVeSSCTo7u42PNaHGWJiYtDQ0AAvL6+3JoIK20S49H/cgEapMasQGDcGiMmPxIZ/vwIcLgdNTU24ceMGDh06xMoOdHK5HFeuXMGePXuYNsWmuXHjBtavX2+28z1//tzgRbKVCp3p4qhiwL7+ilNgrrtNiqKwZs0a3L59G2vWrDHLOc2Fq6sr9u/fD7lcjgsXLsDJyQk7duyYVXzQWgwMDEAkEllVCADjsxNe70Gu0+nA4/FQX19veM7X1xfZ2dmzKs/z8fGZEDpoaGjA7du3ERcXB6VSCT6fD5qmERERYbQJK6VKXPlPty0jBACABjoquvH4u5foD+iAq6urWecKmBsPDw+MjY0xbYZNMzo6anaP4fz585GSkoKTJ09iy5Ytk1a+2DKO2PDKIcSAOUlOTsaDBw+gVCpZudF6eHjg0KFDkEgk+Omnn+Dh4YEdO3awTr13dXVBo9Gwon+CviohMzPT8JxYLMbTp0+hVqsBjAvB1NTUGY97HRwcRG9vL+Lj4yck5NE0jd7eXqNkRf5PrRgbUUw7SXBW0EBNCQ+L/n4Oclexv6mPh4cH5HK5zXi72MbTp08tMr3S19cXX3zxBS5fvgwej8dotZU5iYyMRE9Pj11XbE2GQ4QJpju+eLrIZDJcuHDBqOsbWxkeHsalS5cQEBCAwsJCVrQZbWlpgaurq0192XQ6HQQCgVEzIx8fH+Tk5EzqPVAoFGhoaEBQUNC0BUTbsy5c/y9l5jL5rVAcCp6BHtj71VY4u7JLKL6JUCjE48ePUVhYyLQpNgdN07h165ZJiYPTobGxEbdu3cLRo0fh6elp0bUsjUgkwv379y06l4aNsPsqwFI8PT3h5+eHzs7OSQftsImAgAAcO3YM/f39+P777xEWFoZNmzYx5gITCAQICAiwehMbU+FwOEhPTzfqRCmRSPDs2TOoVCoA496DpKQkSKVScDicSecITAVN03hWXDmj0kFToHU0pIMyNN5tQcZGZksI30VgYCCGh4eZNsMmqaiomDBp1BIkJycjNjYWZ86cwfz5880+/t2a+Pv7G7VKdxQcdyC8iWzZsgVXrlxh2oxpExoaig8++AA5OTn45ptvcOvWLauP7KyurkZYWJjNCYGp8PHxwdKlS7F69WqsXr0aSUlJePXqFTo6OtDd3Y07d+7g2bNnUCqV7zzXQMMQRO1iqwgBAxRQWyqwidGtTk5ORmWdhOkxPDxstTJAFxcXfPTRRxCLxTh//rxNfK4If4N4BmYJRVFYtmwZ7t+/j2XLljFtzrSJiorCRx99hJaWFnzzzTdITU21uP00TePly5fIyMiwy7amIyMjaG9vR2Rk5ATX4ujoKF68eGEkCJKSkhAdHW3knam72jCho6DFoQFR5wj6+UMIS2e3QFu6dCkePHhg8WmJ9kRfX5/ZKmRmwooVK9Df34+vvvoKe/futdkGPo6WREjEgAlkZmbim2++QUFBAWuatEyXhIQEJCQkgM/n4/Tp08jOzsbChQvNvo5Go8GrV6+Ql5fHuiRGU9H3MPD29p4yJODt7Y0lS5YYHtM0jaamJty9e9fwnKenJzpf9lhXCPwzFIdCd1Uv68VATEwMysrKmDbDpqipqbF4rsBUhIaG4osvvsBPP/2EiIgIrFixghE7Zkt8fDza2trsdhbMZNjX1ZkBdu/ejV9//dWsCYrWJC0tDWlpaaiqqsKpU6cwf/58zJkzxyznHhsbQ319PebNm2d3CrulpQVjY2PIzMwEhzP9aBtFUUhOTjYapz3YOYRKSaMlzHwnNE2j5VU7PHL/JmY9PT0neC7YgqPdrc0WjUbDeLIwh8PBgQMHUFlZiW+++QZHjhwxyyRNa5CXl4cbN24QMUCYPr6+vnB3d2fMJWcucnNzkZubi+fPn+P06dNYvHixSYNJ9K5zayQvWZOBgQH09/cjPj5+1pMw30TerzDLeWYFDYz1Ko0SI2UyGQQCgdFhHA4HcXFxjF7M8/LyUFlZiby8PMZssBUeP37Mmm6Sc+bMQVJSEr799lusXbsWSUlJTJv0Try9vY0GmDkCdp9AqNVqZ3TnNhu2bduGS5cuWXQNazF//nx89NFHGB4exqlTp9Dc3Dzjc+hr62eSTc92xsbGUF1dDa1Wi+zsbLMJAQCQDzPbVGdMojBK9vL09DR4jPT/EhMT0dXVBT6fb/jH4/GsmuWflZWF2tpaq61ny4yNjbEqP8fLywufffYZBAIBLl++zLQ5hEmwe8+AXC63eN0rh8PB/Pnz8fTpU4vE3Zlg6dKlWLJkCe7evYs7d+5g48aN0yqj7OnpgUKhQFpamhWstDw0TYPP58PJycli4kan0VmtpHBS6PFSQ4o7tfudy+UiISFhwvN9fX3g8XhGz+l74JvbnU9RFMlQnwaNjY2svfvesmULWltbcfz4cRw+fHjWQ76sAUVR0Ol0Fr+ZZAt233Sot7cXAoHAKlnIX3/9NT788EPGY3XmhqZpXL9+Hd3d3diyZcuU4ZC2tjZwuVzW916YLl1dXRCJREhLS7NogijvRiPKv3pqsfO/Ewr45MIhs23eMpkMXV1dRhs3h8NBbGysyV07Hzx4gPDwcFYNC2Mbpk4ntAZqtRrFxcXIzs7GvHnzmDZnUp48eQJ/f39WdEm1BnbvGZBKpWZ16b6NXbt24cKFC9i9e7dV1rMWFEVh48aN0Ol0uHLlCgYHB7F9+3ajSXINDQ3w9fVFaGgog5aaB7FYjM7OTkRGRiIqKsri63n4M+vOdfZwgkqlMlt7bU9PzwkXUK1Wi/b2dkODJmBcZIaGhs6oDn7RokU4f/48EQNTIJPJWBUemApnZ2ccO3YMDx8+RHFxMQ4ePMi6O/Dc3FxcvnyZiAF7YXR01GpiIDAwEDRNQygU2uXIVQ6Hg61bt0Kj0eDy5csYHR3Fjh07DBunv78/0yaahEajAY/HMwwpshZBCQzOhqcAr0h3lJaWGnohUBQFiqIQFxeH9PR0s0wznCrM0N/fP6MwA5fLhU6nM9kee+XJkyc21YthyZIlSEtLw/Hjx7Fz584Zz/6wJO7u7lAoGEzutTJ2LwakUqlVm17s3LkT3377LT7++GOrrWltnJycsHPnTiiVSvzpT39CUFCQzZZW6mluboZSqURWVpbVS9c8Az3g5uMKheTdnQrNDUVRSMiPx7xdxvkQWq0WbW1tePDgASQSiZHLPzQ0FGlpaYiIiDD5dxUaGjrBmySXy9HQ0GC0JkVRiI2NhZubG4KCgjAwMGCzzWwsBU3T0Gq1NhemDAwMxJdffolff/0VAQEBrJsI6yg4hBiwlmcAGL9zyc7ONjTasVe0Wi2qq6vxb/7Nv4FGo8GFCxdAURSKiorg5ubGtHnTpr+/H/39/UhMTGR0wEpUXjiaH7RbvfEQraMRmTMxB4TL5SIxMXGCO56maQwMDIDP56O8vNzwHDCeMZ6WloaEhASTGkx5eHhMGmbo6OiAUqlEeHg4iouLsWnTJoSEhNilF2422HLZJUVR2LNnD+rq6nDq1CkcOXKEFdcRLpcLjUZjdw3TJsPuf0JriwEAKCgowMmTJ5Gbm8u6OJg5UCqVqK6uRn5+PjgcDpydnXHw4EFIpVL88ssvcHNzw44dO1jdlVEul6O5uRnBwcGsKIHM3JSKpntt1l2UAvwifWbUfZCiqEnv5oHx7xqfz8fvv/8OrVZrEAlOTk5ISkpCamrqrAUXl8s1agBTU1OD9PR0DAwMGMIMei+Fm5sbYmJi7PK79zaGhoZsVgzoyczMREJCAs6cOYNly5YZ9b9ggvT0dPD5fGRlZTFqhzWw+2oCc48vni59fX148uQJduzYYfW1Lcno6Ciam5vf2qVQLBbj4sWL8PX1xbZt21jltqRpGjweDy4uLqwpv6qoqMCrV5XgPvKEalhj1RLDpZ8tQOYmy04tVKvVaG5uhkAggEwmMyoRjIqKQnp6+oyHV/3+++9Yt24dvL29J7wml8vR2dk5ZZjBHhkaGkJHRwfmzp3LtClm48aNG5BKpSgqKmKs66RKpcJvv/1m82HQ6WD3ngGmCAsLw9jYGEZGRsySgMUGhEIhBgYG3tmu2M/PD++//z4GBwfx/fffIyQkBJs3b2b8Tq2jowMjIyNIT09n3O1H0zRu375tuIB/9NGHaM3qxI3/es8q61McCh4B7khZNTGpz9w4Ozsbmhe9Dk3T6O7uRmVlJQYHB8ft+meh4Ofnh/T0dMTGxk76uVm9ejXu3LmD7du3T3htsjCDTqdDe3s7lEqlkUgIDg5GUFCQOX5MRnn16hXWrl3LtBlmZf369ejq6sLx48dx8OBBRhKUXVxcjCpg7BkiBizI7t27cebMGXz44YdMm2Iyvb29kMlkM3LbBQcH44MPPkBvby++++47REdHY926dVZX+SKRCJ2dnYiOjkZMTIxV134TtVqN0tJSiEQirFmzxugCHl8QjcRlsWh52AFaZ1n3AK2jsfrvF8PZjblLAEVRiIqKmrR8UyQSgc/n4+nTp4bqAYqi4OrqiuTkZKSkpGBkZGTaa3E4nEn7zA8ODhpVM+jXmEqEsBF9l1V7nNkQFRWFzz77DOfOnUNycjIKCgqYNsluIWECC1NeXo7AwEBkZmYyZoOptLe3g6IokzfS9vZ23Lx5E0lJSVixYoXFL15qtRo8Hg9+fn6Mi4DR0VFcvnwZOp0OW7ZsmbK2XiFR4qcvL0MpVVlOEFBA5qYULP10gWXOb0EUCgUaGhrQ2NiIsrIyzJ8/H05OTobZCWlpafDz8zNpjbGxMXR0dEwIM8TExLCyhv/hw4eYM2cOowmw1uDp06fg8/k4dOiQVT17586dw+7du21myNJsIWLACpw4cQKffvqpTSr3pqYmeHl5mXUIU0NDA+7du4esrCyLDVNpbGyEWq1Geno6o7/33t5e/PHHH/D09MS2bdumFbMeahnGpX93A1qV1vyCgAKi8yKw4T+sBNfJNu58p6K7uxs8Hg9r1641NDXi8XgTPAYhISFIT083qRRSp9Oho6MDY2PGcySCgoJmnO9gbm7cuIH169czaoO1EIvF+OGHH7B161arCfyamhqo1Wq7yseYDCIGrEBHRwdqa2uxefNmRu2YKfX19QgNDbVY6VZtbS2ePHmCvLw8s0037Ovrw8DAAJKSkuDh4WGWc84GPp+Phw8fIjw8HBs2bJhxEuVgkxCl/+ctqORqsyYUukRxsP+/7YS7p30k0p05cwZHjx6d8nWapg2hgO7ubqPX9AOZEhMTZ32nOTg4iKGhISORYc0wQ2trKzQajdFIbHuHpmlcvHgR7u7u2Lhxo8XX02g0OH/+PA4fPmzxtZiE5AxYgZiYGNy7dw8ymcxmXHmVlZVITEycNFvbXGRlZSErKwsVFRU4ffo0CgoKZl3CI5PJ0NzcjNDQUEZLBR8/fgwej4fU1FR88MEHs74TDU4KxK4/bcFP//4idEOm2URxxm2YdyAHWdtTUXqllNEMbXPyrmEyFEUhJCRk0gZFUqkUAoEAv//+OzQajeF5JycnJCYmIi0t7Z3f1+Dg4AmeAYVCgcbGxglDlWJiYswuUJuamlg/h8Dc6PuZCAQCnDhxAkePHrWo8HdycoJWq7XY+dkC8QxYCaVSiR9//BHvv/8+06a8FZ1Oh4qKCuTk5JitV/10efz4MWpra7FixQqkpEyv3I2madTV1cHNzY2xUkGdTofr16+jt7cXixYtMltttFQqxfXr15HmnoUn37+CRqGZ0XRDikOB1tEITPDH6r9fgoBYPwDjpXe3b9/G1q1bzWInk/D5fIyOjmL+/PlmO6darUZLSwv4fD5kMpnRa5GRkYZSyJmIqanCDIGBgbPupKhQKPDs2TMsX758Vu+3B5RKJc6ePYsFCxZY9Cbg+++/x3vvvWex87MBIgasyK1btxAbG8tal55KpUJVVZWhmRAT0DSN8vJyNDQ0YN26dYiLi5vy2Pb2dkgkEsZKBRUKBUpKSiCTybB+/Xqz91W/cuUKFi1ahICAAKjkajSVt+L5r1VQDI63LeZwKehe61io9wDQOhoUh0LC4hhkbk5FWMbEjUsoFOLly5d2cVf5rlCBudCXQvL5fAwMDBi95ufnh7S0NMTFxc3ouyMUCg1llXpcXFymdZ47d+5g+fLljJfJsoG7d+9iYGAAe/futYjH66effsK2bdtYmUBqLsinyIqsXbsWf/nLX5CUlMQ6F61UKkVjYyPmzZvHqG0URWHFihVYvnw5bt26hdu3b2PTpk1GG+3w8DC6uroQExOD2NhYq9soEolQWlpqGNxkqZnsIpHIUHXg4uGMjI0paFLxsWLeBgw2DWOwWQhJ7yjUCg04XAquXq4IjPdHUGIAghMD4eo1dfZzYGAg0tLS8PDhQyxZssQi9tsb0ymFfPbsGWiaNoQIXF1dkZKSguTk5EmTRwMDAyfk5CgUCjQ1NU0YyPRmmMFR2uROh1WrVqGvrw9fffUV9u3bZ/akzjlz5qCqqsquSxuJZ8DKNDc3o6WlhVV3ZCKRCD09Pawsf9TpdLh27Rr6+/uxceNGDA0Nwd/fH9HR0Va3paOjA7du3YKfnx8KCwstWmpE0zSKi4tx5MgRo+dLSkrM6t4XCASQy+U23caWzXPn9fkDDQ0NhqmQwHjfg9jYWKSnp0+rFFKn06GzsxNyuRzAeEWO/me2h7Hh5kKn0+H8+fOIjo7GsmXLzHre4uJiq3igmILISiuTmJiI+/fvQ6FQsKI1an9/P0ZGRlgpBIDxi+aWLVvA4/Hw22+/wdPTEzt37rSqDdXV1Xjx4gWio6Nx7Ngxq3hOamtrJ4xR5vP5E7r4mUpqaipevXoFgUDAys10OixYsADnzp1jpf1ubm7Izs6e8LfUD1569OgRxGKx4Xmapg2lkJGRkYbPml486Onq6sLy5csxPDwMPp9vdG4XFxfExsayqg24teBwODh48CBevnyJb7/9FkeOHDHLjBQOhzMhIdTeIGKAAfbu3Ytffvllwl2ftens7IRWq512sh4T9Pb2YmhoCElJSfiX//JfQq1W49KlS5DL5SgqKrJYtQNN07h37x5aWlqQk5ODDz74wCLrTEVVVRUOHTpk9FxjY6NFkv7y8vLw6NEjQ5dGW4PD4UxwqbMd/eClN7si6ksh+Xw+7t+/b7QBeXh4IC0tDQEBAQZvQkBAwIQGVkqlEs3NzYbfif4cMTExNlPNZCpz585FcnIyTp8+jfXr10+YvjlTaJqGTga0PGyHqGsEGoUWoABnNycExPohKDEAnoEerAv/zgS7FgNsVXIeHh4IDAxEe3s7IzFvYDxc4e7uztqLv1QqRUtLC8LDw43uqpydnbF7924oFApcvHgROp0ORUVFZkvs0Wg0uHr1KoaGhrBixQqsXLnSLOedKTRNW/XCsnjxYty6dcvw2bQ1wsPD0dvbi/DwcKZNMYnplEIWFxcjPT0djY2NAMZL3xISEpCWlgYvLy9DnsLr0DSNjo4OdHR0GK3l5+dn1oZibMLb2xuff/45SktLwePxUFhYOONziDpHUH+tAQ1lLVDJuLh5/T4oLjX+3aTHf6/6xmBuPq5IXZuIjI0p8Am17qRcc2DXOQMymQy3bt2adJgJ09A0jZMnT+Kzzz6z+to8Ho+1A1p0Oh3q6+vh4eGBhIR3D9GRyWS4cOECnJ2dUVRUNOs4vkwmQ0lJCZRKJTZv3sxoVzmRSIQHDx4YeQFaW1shlUonuJvNTUlJCdasWcNow6bZoFKp8Pvvv2P//v1Mm2JRdDodbt++bZRz9LZSyIiICKSnpyMkJGRScTk8PDyhMsLZ2RlxcXF2FWZoaWnBH3/8gSNHjkzLmyjqGsGDk8/QU91vKNGdDvpjY+dHYskn8+EdYjuiwK7FQH9/P2pra7FmzRqmTZkUHo+HgYEBrFixwmprVlVVIT4+3mIZ8KbQ1tYGqVSK9PT0GV+IRkZGcPHiRXh5eWH79u3TzrIeHBzE1atX4erqim3btrFiE7x48SLWrFljdNEqKSlBYWGhxb0FNE3j999/n9HvkC2cPXuW8dCbpXny5AkyMjKm9f2laRo9PT2G68zr+Pr6GqZCvvldUyqVaG9vnxBmiI6OhpeX7Wxub6JWq1FcXIzc3NwpWwvrtDpUX+LheXGV0V3/TKE4FLjOHCz6cB7S17OvemwybOvbPkOkUimrP7zp6el49OgRFi1aZPEhGDRNo6KiAllZWaxIXHwdoVCInp4exMbGvrWvwNvw9fXFe++9B6FQiLNnzyIwMBCFhYVT1mo3NTWhvLwcwcHBVh988i6kUumkdy/WuKBQFIVt27bh8uXLNtel0Nvb265Ghk/G6OjotIU8RVGIjIxEZGTkhNfEYrGhFPL1fAsXFxekpKQgJSXF6DpB0zQ6OzvR2dlpdB59mMEWPifOzs44duwY7t+/jx9++AEHDhwwuj6oFRrc+K/30FXZa/JatI6GRqnF/eNP0VPdh1V/vxhcZ3Z7WuzaM1BVVQUnJyfWZsoDgEQiQWlpKQ4ePGixNTQaDV69eoW5c+eyyvWnUqnA5/MRGBg46QXLFPr6+nDlyhVERERg48aNhovV8+fPUVNTg6SkJCxbtox1FzGdTocff/zRKHmwt7cX3d3dmDdvntXskEqluHfvHrZs2WK1NU1FIpHg9u3bKCoqYtoUi9DZ2WnwnFkKfY+DhoYGKBQKw/MURRlKIf39/Q3Pi0Qi9Pf3G53DFsIMQ0NDOH/+PHbt2oXw8HColRpc/U+30S8YsshwsNh5kVj/71aAw2XvcDC7FgMPHz5kxQz7d3Hp0iUsWLDAIslPcrkcfD4feXl5rNr4BAIBaJpGamqqRe3q7OzEH3/8AZFIhMDAQMyfP5/R2QXv4tmzZ/D19TUqkystLcWWLVus/vcbHBxETU0NVq9ebdV1TcGeQwU3b95krD+JTqdDe3s7+Hw+RCKR4XmaphEcHIz09HRERUWBoiioVCq0t7dDq9UaJXGzLcxA0zR++eUXBAYGQvOUi/Zn3ZZLOqeA9PXJWP7FQsuc3wywxzdqAdgeJtCzbds2fP311/j000/Nel6xWIzOzk5Wjd7s6emBUChESkqKxWcfqFQqPH/+HE5OTli0aBH4fD4kEolF1zQVgUAw6XQ0JoRccHAwEhMT8eTJE5vpvObi4gKlUmn1uRqWRqVSmaVefrZwOJxJSyEBGKZC3r9/3+h5Dw8PpKamIikpCU5OTujq6kJnZ6fRZ9nHxwfh4eGMfL4pisLevXtx+8w9tD3tfPcbTIEGeNcbEVcQjZi55m1bbi6IGGABFEVh4cKFePz4MRYtWmSWcw4MDEAkElk8+3y6jI6Ooq2tbUKpoCWQSCQoKSkBTdPYsmWLwa25bNky8Hg8nD59Grm5uWYdbmMuKIoyujAKhcIJdeTWJDY2FnK5HFVVVcjNzWXMjumyYsUKlJWVYcOGDUybYlYePXqExYsXM23GpEw2uREYr9ARCAS4cOGC0VRILpdrKIXUarUQCARG73NyckJcXJxV8nhkQjnar5qeIzAdKAoo+5+PsO+rbXD1tGyO2GywazGgUqksnphnLubMmYNTp05hwYIFJsfaurq6oFKpWNGRTV8q6OnpaXER0NPTgxs3bsDLywu7d++e9O4wPT0d6enpqKysNPy+2bLJ9ff3T7ioPnnyxCoz299Geno6Kioq0NjYyNohW3rCwsJw48YNps0wO2q12mauZXo8PT0xd+7cCZ5JjUaDlpYW3L17F1Kp1Oi1iIgIJCQkoKWlZcLY4KioKLM3GXv1Wx00SuuMJ6ZpQDGiRG0JH/n72ReqtGsxYGvs2rULv/32G/bu3Tvrc7S2tsLZ2XlaNfqWprW1FTKZDBkZGRadglhfX48nT54gIiICR48endZac+bMwZw5c/Ds2TOcPn0aS5cuNXur35lSXl4+oTGKTqdjRSJWfn4+Hjx4AA8PD7Mne5obfUdCpiZvmhsej8f4Z9OcODk5GSoWXoemafT29oLH401ISvT29jbMJXndY2BKmEE9pobgVpP5EwbfAq2jUXetAXl7sliXTEjEAIsICAgAh8PB4ODgrJreCAQC+Pv7z3o+urkYGhpCT0/PlDFGc0DTNB49egSBQID09PRZtwtesGABFixYgAcPHuD06dNYvXo1Y0JKqVQadVKUSCSs6gexdOlS3LhxAx4eHkYZ5Wxj4cKFePLkCWvd6jOlq6uLVYPNLAVFUYiIiJh0FLi+FLK2ttaoFFKj0cDHxwdxcXGGUsjphhka77VazSvwOmNiBdqedSFhEbsS24kYYBlFRUX45ptv8Mknn8zofTU1NYiOjp7WBDRLoVAo0NDQgKCgIItl7Gu1Wvzxxx/o7+/H4sWLzTYzYOnSpViyZAnu3LmDO3fuYOPGjZOOqrUUarV6ggfg0aNHrMvkX79+PS5fvox169axdrZ7cnIyHj9+bBdiQCKRWGz+hi3h5+eHgoKCCYmsSqXSMBVSXwqp0WhQUlKCkJAQJCQkGK6JkZGRRuK67VkXQAGwcj0dxaXQ8bybiAHC2+FyuZgzZw4qKiqQn5//zuNpmsbLly+Rnp7OWPc8mqYhEAhAUZTFRMDY2BhKSkogl8uxYcMGi5RhUhSFNWvWgKZp/PHHH7h+/ToKCwutMiJ2ss1Lo9GwMk5cWFiIixcvYvv27awIYUyFtec7WIKnT5+ytoMqG3B1dUVWVhaysrKMntfpdOjo6ACPx0Nraytomsbt27cxNjaGgIAAxMfHo5fXb3UhAAC0lka/YMj6C78DIgZYyIIFC3Dy5Enk5eW9Ne6p1WpRUVGBvLw8xsqOuru7IRQKkZaWZpGNa3h4GKWlpXBycsLWrVutcpdEURQ2bdoErVaLK1euQCgUYvv27RbN6u/o6MDy5csNj+VyOWvvvDkcDgoLC3Hp0iXWdinMzMwEj8dDRkYG06bMGpqmQdO03eQ+WBMOh4O4uLhJO5oODQ2h+nkNNHLrhwj0jHSPQKPUwMmVPVsw+ZSxlB07duDSpUtTvq5QKFBZWYn58+czIgRGRkZQXV0NNzc35OTkmF0ItLW14dtvv0V5eTkOHDiAgwcPWt1dyuVysW3bNhw5cgR3797F999/b7E+BW82O2FzKRkwXs+/du1aXLt2jWlTJmXu3LmoqKhg2gyTePHiBSvLX22doKAgZMRlvftAC0LTgGx4jFEb3oQ9soRgRGhoKJRKJcRi8YQ8AIlEgtbW1mmFEcyNVqtFfX09vL29LRISqKysxMuXLxEbG4tjx46x4q7TyckJu3btglKpxMWLF6FWq1FUVGS22fAdHR0TRkmPjY2x1jOgx8fHB/n5+SgrK2Ns1PNUUBTF2hHm00UsFrM6UdOW0aqZ8wro0Sg17z7IihAxwGJ2796Nv/71r/joo48Mzw0NDWFwcJCR2viWlhbI5XJkZmaa1XVJ0zTKysrQ2tqK3NxcsyUFmhtXV1fs27cPcrkcFy5cAJfLRVFRkcnd7h49eoRdu3YZHttSf4zQ0FDI5XI8e/YMCxYsYNocI6KiotDZ2TlBaNkCvb29CAsLY9oMu4XiMn+TwXFil2OeiAEW4+TkhLS0NNTU1CA7Oxs9PT0YGxuz6KCSyRgcHERvby8SEhLM2tFRo9HgypUrGB4exsqVK7Fq1SqznduSeHh44NChQxgdHcXPP/8MNzc37NixY9bhGrVabfTehw8fsjpE8Cbx8fGQy+Wora2dkMjFJMuWLcOvv/6KAwcOMG3KjKmpqcH69euZNsOuoGkaQ0NDEAqFkAsV736DhXHzZlfLbLsWA7buJgTGS95OnDgBLy8vODk5ITEx0WprKxQKNDY2mr1UUCqVoqSkBGq1Gps3b0ZQUJDZzm1NvL29ceTIEYhEIvzwww/w8/PD1q1bZ5Rhr1AoJngWphphzGYyMzPx4sULNDc3W/Uz+jacnZ2hVquZNmPGqNVqVo3UthVomoZQKMTQ0NSZ+sHBwUhNTQWdTKPif9ZDp9ZNeawlcfdzg7svu0bJk0+cDZCZmYn79+/j6NGjVlmPpmnw+XxwuVyzthDu7+/HtWvX4O7uju3btzNWCmlu/P398f7772NwcBDff/89QkNDsWnTpmmFUu7fv29URaDRaGx2I5g3bx7u3bsHDw8Pi5R+zgZ/f3+IRCKbir3bS48Ec0PTNEQiEQYGBia8ps8tCgwMnNYkVIpLITDOH4ONQovY+ta1KSAkhX03QLZ51XEg6urqkJmZifb2dqsMXurs7IRIJEJ6errZqhQaGxtx//59hISE4MiRI6yuTTeF4OBgfPDBB+ju7sZ3332HmJgYrF279q0Xpv7+fqPuck+fPsXChewdc/ouVqxYgWvXrsHDwwO+vr5Mm4PVq1fjjz/+MMrJYDtKpdLQTc+RoGkaYrHYsNlP5tmd7mY/HSKyQzHUPGzVdsR6wjOZ7RI7GXYrBmw9REDTNCorK5GcnAwvLy/s2bMH586dw7Fjxyyy3sjICNrb2xEVFWW2hKunT5+irq4OycnJrKkMsAaRkZH48MMP0dbWhm+++QYpKSlGd/9vQyQSMTql0Bxs3LgRly5dwqZNmxgfJezp6Qm5XM6oDTOhsbERSUlJTJthMcRiMfr6+qZ83d/fHykpKVa5VqSvS0LV7/UWX2cCHAopq5ifHfMmdisG3uzzbkvodDpUVFQgNzfXkFXu6uqK2NhYCAQCs04j1JcK+vj4mCUvQKfT4ebNm+ju7saCBQtYWxlgDeLi4vDRRx9BIBDg9OnTyMrKMmqn+uYUwNd7rtsyFEVh69atuHjxIoqKihhvmuPq6moTpZrA+HAvW04clEgk6O3tnfRmjKIo+Pr6IiUlhfHPBAD4hHuDDtAAw1xQsM6NCsWhkLg0lnX5AgBA0bZ+Cz0FQ0NDePXqlc0N+FAqlaiurkZ+fv6kX5i//OUv+Oyzz8yinJubm6FUKpGenm7y+ZRKJUpLSyGRSLBu3Tqr9vW3FWpqavD06VPDWNdz585h3759hrDJs2fPEBMTYzclZQqFAn/88Qe2b9/OqFdocHAQz58/x+bNmxmzYTrIZDK8evUKS5cuZdqUKRkdHUVPT8+UnlcfHx+EhYWxYrOfCpqmceLECTQ0NGDrou1o/KHLamtTFLDz/96MoAT2ef/s1jNgjfi6uRkdHUVzc/Nbu45t3LgRN27cwIYNG2a9zsDAAPr7+5GQkGBy45yRkRGUlJQAALZu3cqKODFbyc7ORnZ2NioqKnDq1CkIhUKj/In+/n7W1eqbgpubG1atWmXy59VUgoODIRRaP1Fspjx+/Jjx8lqpVIqenp4pvVTe3t5ITk5m9WY/Fa+LgIMHD+Lzzz8HAHAHnkBwu9nyuQMUMGd3FiuFAEDEAGsYHh5Gb28v5syZ89bj4uPjUV5ePiu3p1wuR1NTE0JCQkyuEujq6sLNmzfh4+ODPXv2MB4btiXy8/ORmpqKf/qnf8KpU6ewcuVKu40T+/r6IicnB+Xl5dPOm7AEHA6H1ZUa+jkElk6ulclk6OnpgVY7eQc+Ly8vJCYm2lWS7+si4NChQwYRoGfRB3PRUdGNMbHCYoKA4lDwjfBG/j7zVWeZG7sNEzx58gShoaGIj49n2pR30tfXh9HRUaP48dsYGxvDL7/8Mu1SQ5qmwePx4OzsPO01pqK2thbPnz9HZGQk1q5da5N3CGygtLQUixcvhr+/P+7du4e7d+9i48aNWLRoEdOmWYTm5maIRCLMmzePkfVbW1vR2dnJqCB5G69evUJ0dLTJPTfkcjm6u7un3Ow9PDwQERHBWlFkTmiaxl/+8hc0Njbi0KFDb/3sDbUM49K/uwGtSmt2QUBxKLh6uWDHf9sI33D29g+x20+EVCplTfOTt9HR0QGapme0Sbu7uyMkJAStra3vFDudnZ0Qi8VIT0+f9QWApmk8ePAAjY2NyMzMtFhFgyMhFosNVQMrV67E6OgoRkdHcfr0aWzZsoU1dfrmIjExETU1Naivr2dkkmB8fPyEng5sYmhoCHl5ee88bmxsDN3d3dBoJu9r7+7ujvj4eIfY7KdCLwKamppw4MABfPHFF+98T1BCALb+X2tR+n/ehkapMZsgoDgU3LxdsfW/rGO1EADsXAywPUzQ1NQET0/PWV34N2zYgJMnT+Kzzz6b9HWRSISuri6TSgW1Wi2uXbuGgYEBLF26FMuWLZvVeQjGTJVpvX79euh0Oly9ehUDAwPYtm2bzXZnnIzs7Gw8ffoUbW1tk46WtTT64UVsK3EdGBgw/J0VCgW6u7un7Jzo5uaG2NhYxkaWsxmdTocTJ06gsbERBw8enJYIeJ2QlCAU/feNuP3fH0DYKjKLTaGpQVj9r5fAO4TdexFgx2GCH3/8Efv372fdF19PfX09QkNDERgYOOtzCAQCdHd3Y/Xq1YbnNBoN6uvr4efnh5iYmFmdd2xsDJcvX4ZCocDGjRsRGho6axsJE6murgZN04ZhU/puj697hzQaDUpKSjAyMoIdO3ZMmFxpy5SVlSE9Pd3qn6uqqioAYGTIlx6lUomuri6jzV4/i4KiKLi6uiIyMtJmBlWxgTdFgKljn3VaHSp/r8eLc+Oflxl7CSiA68RBwbF8ZG5KAcVh5x70JnbrGQDAWiFQVVWFhIQEk/vPp6am4uHDh4Ypd42NjVCpVMjOzp7Vzy4UCnHlyhW4uLigsLCQ9Z4VW6W6uhqHDh0yPG5sbMTWrVuNjnFyckJRURFUKhUuXboEhUKBoqIiu/ibrFy5ElevXsWyZcusOoMhJycHZ8+etagYUKlU6OrqgkqlmvR1V1dXREdHGzZ7rVaL7u5uqw8fswdM9QRMBYfLwdw9WUhZGQ/ejSbUXWuAclQ5vqnTNN68fdZv9rSOhkeAO7K2pCJ1bSI8/Njf1+J17FoMsA2dToeXL18iKyvLbO1G9+zZg1OnTmHZsmVISkqaVb//1tZW3L17F4GBgThw4ABxQVqYmbiqXVxcsGfPHigUCly4cAE0TWPnzp02365206ZNuHjxIrZs2WK1u2Bz3Byo1Wp0dXVBqVRO+rqLiwsiIyOnXV3z+PFju00atRSWEgFv4hXsifmHcjF3bxZ6avox2CTEYJMQwjYxNAoNQAHO7k4Iig9AcFIggpMDEZ4ZAg7XNpOqiRiwEmq1GpWVlZg7d67ZynZkMhlaW1vh7e2NwMDAGQuBly9forKyEvHx8Q7VLphJ3hyaM934uZubGw4cOACpVIpff/0VLi4u2LFjh826kymKwrZt26zepTAuLu6tv3O1Wo3u7m4oFJOPuHV2dkZkZKTZxNjY2JjdDOyyNNYSAW/CdeYiem4EoudGWGU9prDrnAG2zDGXyWQQCATIy8szy4ZL0zTq6+vh6uqKpKQk0DSNr7/+Gp9++um03nvnzh20t7dj7ty57+xrQDAvFy5cwLp16wzu/tLSUmzZsmXGn4uRkRFcvHgR3t7e2LZtm81mj4+NjeHmzZvYtm2bVdZTKBQ4efLklE2QnJycEBkZaZXWxS0tLdBqtSaX+9o75s4JIEyObV5BbAiRSITu7m7MnTvXLOdrb2/HyMgIMjIyDBsARVFYtGgRHj58iCVLlkz6PrVajStXrkAkEmHVqlVYs2aNWewhzIzJqlxmIxB9fX3x3nvvYWhoCGfPnkVQUBC2bNlic30f3N3dsXTpUty8edMsrcP1MfiphhNxuVx4eHggLS3N5LVMpampyabnEFganU6HkydPGjoGWssT4KjYrRhgg8Ojv78fYrEYWVlZJp9reHgYXV1diImJQWxs7ITXc3JycPr0aSxcuNDoLnF0dBQlJSXQarXYvHmzSdULBNPQ6XRGm3Vvb6/JcwiCgoJw7Ngx9Pb24rvvvkNUVBTWr19vUyGfgIAAZGRk4MGDB+/sy6/VatHT0wOZTGZ4Tv9dpygKXC4XERERb62kaWxsxNDQEKNlm2NjYzaf92Ep3vQEvNkxkGAZ7DZMcO7cORw8eJCx9Ts7O6HRaEzugKhWq8Hj8eDv7//OfgFisRjXr1/Hvn370NfXh+vXr8PDwwOFhYU2MbHN3nn27Bn8/PyQkpICYPYhgrfR0dGBGzduICEhAatWrbIpUdDY2IiRkRGEh4djdHR0wuv6dr0REREmVVWMjY2htLQUe/bsMcVck7hz5w6WL19us+EdS6AXAfpmQSQcYF3IJ9ECNDc3w83NzWQh0NDQAK1WO+1SQT8/PwwMDODPf/4zUlJScPjwYbvqMW7rCAQCHD582PDYEg1wYmJi8NFHH6GpqQmnT59GRkbGlKEjJtDpdOjr64NEIpn09e7ubgCwaNtid3d3jI2NWez800Gr1RIh8M8wlRhIMIZ8Gs0Mn89HYGAggoODZ32O3t5eDA4OIjk5edp39E+ePAGPx8OcOXNQX1/P+nGtjop+8xcKhRYN2SQlJSEpKQn19fU4ffo05syZY5W5ADqdDv39/RgZGZn0dYqiEBYWhoiIyTOz09LS8PjxY3R0dMy6adZ08PDwgEwmM3lq52yorq42eVCYPaDPCWhsbJx222CC5SBiwIxUV1cjNjZ21mN8pVIpWltbERoaipycnHcer9PpcOPGDfT09KCgoMAwM8Dd3R3Pnz8nbjYW0d/fb9Rx7+nTp1YZ65uRkYGMjAy8evUKp06dwsKFC6f12ZoKmqYxMDCA4eHhSb0aFEUhNDTUpNkKixYtwp07d+Dh4WGxuP6aNWtw586dCc2erEFfX59JfwNbR6vV4uTJk4ZwAMkJYAd2KwasGSulaRoVFRXIzMycVWxep9Ohvr4eHh4e07pjUCqVKCkpgVQqxfr167Fx40aj1+fNm4eTJ0+atacBwTTKy8uNNh6dTmfVv01eXh7y8vLw5MkTnDp1CsuXL0dqauqE42iaxuDgIIRC4ZTfodDQUKSlpVn0O7Z69WqUlpZi1apVFrl79/f3h1gsNvt538Xw8LBRnwlHQqvV4uuvvyaeAJZit2LAWmg0Grx8+RJz586dVQywra0No6OjyMjIeOfmIBKJUFpaCg6Hg61bt8LHx2fKY3fu3ImLFy9i165dM7aJYH6USqUhe1wikVi1De/rLFy4EImJifjjjz/w008/YfHixYiKijLKyA8JCbH4Zj8dtmzZgosXL6KwsNAiXTG5XC7UarVVO25WVFRg7dq1VluPDRBPgG1AxIAJjI2Nob6+HvPnz5/xhVMoFKK7uxuxsbHv7EDX2dmJW7duwdfXF/v27ZtW17ng4GBoNBoMDw8bRuUSmEGtVhsJvcePH2PVqlUWWYumaQwPD2NwcHDKY4KCggyJjLdv38aDBw+wadMmREZGWsSm2UJRFLZu3YrLly+jqKjI7OJk2bJlePDggcX+Fm+i0+lAURTjIstaaLVanDhxAs3Nzdi/fz/xBLAcuxQDKpXK4mp/ZGQE7e3tyM/Pn9H7VCqVIcnwXXHDmpoaPH/+HNHR0Xj//fdnfBHZtWsXvvvuO3z88cczeh/BvDx69Mgoo18/WGo20DQNkUiEgYGBKY8JDAxEamrqtD4va9euBU3TuHbtGq5fv47CwkKEhITMyjZL4OTkhI0bN+LKlSsoLCw067mjo6NRVlZm1nO+jadPn2LhwoVWW48p3gwHfPnll0ybRJgGdikGZDKZRae76WOqM00CEggEoGn6raWCNE3j/v37aG5uRlZWFj744INZ2+nk5ITMzExUVVUxOrbV0ens7MSKFSsAAHK5/J15JSKRCP39/ROe17vyZ7LZTweKorB582ZotVqUlpZieHgYO3bsYE1s28PDAwUFBbh165ZFXOyWKPGcjNHRUcbCQ9aAhANsG7sUA5O1fDUX3d3dUCqVM2pn2tPTA6FQiOTk5Cm7jmk0Gly7dg1DQ0NYtmwZli9fbhZ7Fy9ejBMnTiAnJ8dh3JNs4/W+Xg8fPkR2djYEAgF0Oh2Aicmufn5+Zt3spwuXy8X27duhVqtx6dIlyOVyFBUVsWIDCwoKQkpKCh49eoTFixeb7bxz587Fy5cvZ+zhmykdHR3vbBpmq+hFQHNzM/bt20fCATaKXXYg5PF4UCqVZh/C09raCicnp2l/qUdHR9Ha2orw8PAp+w7I5XJcvnwZKpUKmzZtMqk/wVT09PTgxYsXVhsG4+hIJBL09vaCpml0d3eju7vbkFdy9+5d7NixA6GhoayfI6BUKnHhwgVotVoUFRWxYrqeQCDA2NiY2b7bNE3j7NmzOHr0qFnONxU3btywuzkEb3oCSCmzbWO3ngFzuzgFAgH8/PyMasWnQl8q6OnpOWUoYXBwENeuXYOLiwu2bt1q0eYnERERGB0dhUQieWsFAmF6jI6Ooqenx5AQpkevq319fZGcnAwOh4PKykocOHAAzs7OUKlUaG9vN6kG35q4urpi//79kMvluHDhArhcLoqKiuDq6sqYTampqXj16hUaGhoMbZ1NwRoJfUqlktHfmbl53RNAEgPtB7sVA+Z0ydXU1CAqKmpaAqO1tRUymQwZGRmT3vk1Nzfj3r17CA4OxsGDB63WknTPnj0oLi42KQfBUZBKpYbN/vWSOz1eXl5ISkqaVp+A10vXzO3ithYeHh44dOgQJBIJfvrpJ3h4eGDHjh2MtdPNy8vDw4cP4eHhgaioKJPPl5iYiKamJiQlJZnBuok8fvzYJv/ub6LRaPD111+TcICdYrdiwBw5AzRN49WrV0hNTX3nnfvQ0BB6enoQHx8/6UyCFy9eoKamBgkJCTh27JjV48EuLi5ISEgAj8dDenq6VddmGzKZDN3d3YaY/euRMoqi4OnpicTERJObAikUCqMcEalUyor4+2zx8fHB0aNHMTw8jLNnzyIgIACFhYWMNLZasmQJbt26BQ8PD5NLZxcuXIgff/zRYmLAlOoRNvC6CCCeAPvF7sSATquDdFRqcnxTq9WioqICeXl5by1TVCqV4PP5CAoKmhASoGkat2/fRmdnJ/Lz8w3tgpli5cqVOHHiBCsaylgSuVyOrq4uaLXaSd34np6eSEhIsPidbXl5uSERVKPRsD5HYLoEBATg2LFjGBgYwPfff4/w8HBs3LjR6p+ptWvXoqSkBGvXrjVpKieXyzUIQ3NTV1eHjIwMi5zb0hAR4FjYdAKhUqpE6+NODDQOYUAghKhrBDrNP2docyj4RvggNC0IIUmBiF8UA3e/6c0PVygUqK2tRX5+/ltLAAUCASiKQkpKitFxKpUKV65cgVgsxpo1ayw6cGWmtLe3o66uzqYHGY2NjaG7uxsajWbCXT0wPpshIiLCqp3lJuPs2bM4cuQIgPEqgvT0dLtsANXV1YU//vgDcXFxWLNmjVVFgU6nw8WLF7Ft2zaTxN3169cxZ86caeUEzQRbTBx8MxywYMECpk0iWAGbFAPCVhFqSvlovNcKnVoHDpeCTjv5j0FxKdA6GhSHQuKSWGQVpiI0deqM/dHRUbS0tLy1Lr+7uxtCoRCpqalGiUESiQQlJSWgaRpbtmxhTZ32m5w5cwa7d+9mRXb4ZCgUCnR1dUGj0Riee/1j6u7ujsjISMY3+7dB0zSKi4sNYqCkpISRoTjWpLW1Fbdu3UJqaqrZSmOng1qtRmlpKXbs2DFrIaJUKnHx4kXs27fPbHaNjIyAz+fbTKOhNz0BpDrAsbApMaBWavD8bCVqSvjjm/wUAmAq9O9JXZuIRR/kw9XTOI4nFArR398/pVtPIpGgra0NERERRtPUent7cf36dXh5eaGwsHDKXgJsQaFQ4KeffsJ7773HyPpKpRJdXV1QqVQAMMGV7+rqiqioKJuOszY0NEAsFmPBggXQ6XS4evWq2TvosRU+n48HDx4gOzvbahuhVCpFeXm5SR6vM2fOmLXE8NatW1b3lMwGjUaDkydPoqWlhYgAB8ZmxMBgkxA3/1s5pAMymGoxxaHg5uuKtf/bMkRkjbsFe3t7IZPJJk0i0mq1qK+vh5eXl1FyIJ/Px+PHjxEWFoYNGzbYVEz4xo0bSExMRGJiotnPrVKpjDb7N135Li4uiIyMtKtyqzf54YcfcODAAXA4HENL6bCwMKbNsirV1dV4+vQp5s2bh7y8PIuvNzAwgLq6ulnPGrhw4QLWrl1rliRPmqZx69YtrFu3zuRzWQoSDiC8jk2IgZ7aflz9z3eg0+hA68xjLkUB4FBY/78vBxU2Xi8+WWy/paUFcrncUCpI0zQeP34MgUCAtLQ0LFq0yCz2WBuapnHy5El89tlnM36vWq1GV1cXFArFpAl6+s2e7R4SS/J6vkBpaanDeAUm4/nz56iqqsLixYstnkzX1taG/v7+WXkkRkZGUFZWhu3bt5tsx7Nnz5CSkgI/Pz+Tz2VuNBoNTp06haamJuzdu9dmwhgEy8L6aoKBhqFxIaDWmuwReB2aBqCjceMf76HgX+YhZ3Wm0euDg4Po7e1FfHw8vL29Da7e/v5+LFq0iPHKAFOhKApr1qyZtN+7RqNBV1cXxsbGjI4Hxjd8Z2dnREZGmpTBbc+8XtpqA1rb4syfPx/z58/HgwcPcOrUKaxevdoiHikAiIuLw9jYGGpqapCdnT2j9/r6+mJkZMQsdojFYtYJgddFwL59+8jsAIIRrBYDSpkKf/xD2bhHwBLXVBqgAVScqkVSXgI8/N2hUCjQ0NCA4OBg5OTkQKFQ4JdffoFcLsf69ettpnvc29BoNOju7oZWq8WzZ88QHBxsiM9TFAUnJydERESwNsGQ7ZSVlWHlypUAxl3lMx1oZa8sXboUS5Yswd27d3H37l2sX7/eIpU26enpqKiomFUjIRcXF5P7AvT09CAiImLW7zc3arUap06dMoQDiAggTAarwwT3/ukxBHdazBYamAqKQyE6PwKxO0PB5XKRmpoKkUiE0tJScLlcbN261aaaxWi1WnR3d0MmkwEwvqsHxuuqIyMj4enpCZlMhgsXLhjm2xNMp7i42PD7dIQqgtlA0zSuX7+Orq4uFBYWWiSf4v79+0hMTJzRxtzb24va2lqTYv03b95kRa6AWq3G6dOnSTiAMC1Y6xnoqe0H/1azVdaidTQ6nncjcXksXGO5+O677+Dv74/9+/ezsnxNq9Wit7cXo6OjRs/rN30Oh4OIiIhp3XV5enrC398fnZ2ddjtVzZqwWFuzCoqisHHjRuh0Oly5cgWDg4PYvn07AgMDzbbGsmXLcP36dXh4eEzbZR8eHo5bt27Nek21Ws1Ym+bXbSCeAMJMYa1n4Nr/dRedL3ss7hUwQAGUrw6JRyOxevVqRsuBdDqd0Wb/5p+Iy+UiPDzcbN4Kmqbx9ddf49NPPzXL+RyZqqoqUBSFnJwco6ZUhLej0WhQUlICiUSCHTt2wNfX1yznpWkaly9fxoYNG6ad0Hr27FkcOnRoVtVB9+7dw8KFCxlJntWLgJaWFuzdu5dUBxBmBCvFwGi/FOc+ucjI2rv+tBlBCZbtEqfT6dDX12eUrERRlGHT53A4CAsLM9sFcTrU1dVheHgYy5Yts9qa9khxcTEOHToEiqIcvopgNqhUKly8eBFKpRI7d+40yzRPfZfC7du3T2uOgkAggFgsnpVbnYmOg3oR0Nrait27d5NwAGFWsDJM0HC3BRSHsp5X4J+huBT4t5qx9BPTxABN0+jv74dIJJq4xj+PTA0NDWVVklFmZiZOnz6NgoICVoZGbAWaplnfZIbNuLi4YO/evRgbG8OFCxdAURSKiopMutPmcDjYsmULSkpKsH379nf+fVJTU3H27NkZb6oCgcCqXqDXwwF79+4lswMIJsFKMdDHG2Ak9kprafTVDbz7OJrGwMAAhoeHJyTnAeMbflhYmM1NB9yzZw9+/fVXHDhwgGlTbJLh4WHD7IG2tjbExsYybJHt4u7ujoMHD0IqleKXX36Bq6srioqKZi1UXV1dsXr1avzxxx/YtGnTO4+fzfWno6PDKomDKpUKp0+fRmtrK/bs2UNEAMEssE4M0DSNgUbheM0fAwx3iqFRaTAsHsbQ0JDRXYTelU9RFEJCQuxu+p+vry/c3d3R19fncN3yzMG9e/cMm0FNTQ0JEZgBLy8vHDlyBGKxGOfOnYOPjw+2bds2q7HJPj4+yMvLw71797BixYq3HpuWlgY+n4+0tLRpnVsqlZolpPE29CKgpaWFiACC2WGdGJAPj0ElUzO2Pq2lUfmwGvE5sUhPT7erzX46bNu2DadOnSLJhLPg9WZDABzus2NJ/Pz88N5772FoaAhnzpxBcHAwNm/ePOMkv7CwMMjlcjx//vytPfjnzpmLs3/6ESNPxzDQOIShlmGoxzSgdTS4zhx4h3ohNDUYQYkBiFsQhSdVT7B69WpTf8xJISKAYA1Yl0Ao6hDj539ZyqgNW/9hHSIyzTvK1JZ4+fIl1Go1SUSaAVqtFufPn8ehQ4fQ29uL7u5uzJs3j2mz7Jbe3l5cvXoV0dHRWLdu3YyFV11dHYDxXJnXkQnlqL/eiPprDVBIlNOaiAoAHrEuWHVsGSJzw8wmAlUqFb755hs0Nzdjz5495PtIsCisEwPCNhF+/bsrjNqQ80kKYuZEwsvLC15eXrNySdo6X3/9NT788EOH/Nlnw9OnTxEQEIDk5GSUlpbO6q6VMHPa29tx8+ZNJCUlYcWKFTPaiJ8/f46goCDEx8eD1tGov96Ix99WzGoGij7hOWZeJJZ/uRCeAbPv3qkXAS0tLaQ6gGA1WCcGRnpHcf6zS4zakPFhPGg/LUZHRyGTyaDT6Yxef/NXNtmwHk9PT3h7e0/45+npaRObhFAoxJ07d7Bnzx6mTbEJyGAiZmlsbERZWRkyMzOxePHiab/v3r17iA2LQ/UZAXpr3508/C4oDgUnVy5W/MtFSFwyswTS1xMDd+3ahYKCApPtIRCmC+tyBryCPMbdb1O45qzB/JXz4OYz+/G6Op0OcrkcUqkUo6OjGB0dRV9f36TiYjIh8eZrFEXB09MTXl5ek4oLS8Sm9Z3ghEKhWbvC2TtCodBQUUCwHsnJyUhOTkZtbS1Onz6NvLw85Ofnv/N9c9Py8dO/vgyd3DzXG1pHQ63Q4NZ/u4+xj8eQVfjuBMTXPQG7du0iOQEERmCdZwAAfv37KxC2TqzRtwaege44/O0uRtaeCp1OB5lMZhAWo6OjBqEhl8tB0/S0vBV6OByOkbB4/f89PDwM79Vqtfj222/x8ccfW/6HtGH6+vpQU1ODdevW4erVq9iwYQMJrzDMy5cv8fLlSxQUFCArK2vSY2TDclz8t9chE8ot1tNk+ZcLkb4+edLXlEolvvnmG9IsiMAKWOcZAIDQ1CAMd4it7h2gOBRCUoKsuuZ04HA4hs3aHGi1WiNxIRaL0dnZidHRUaOxxTRNo7e3F//1v/5XxMXFGZ6fbPDRZF4LLy8vuLu7231WfXl5ObZt2wZgXLgRIcA8c+fOxdy5c/H48WOcOnUKK1asMGoIROto3P7vDywqBADg/vGnCEoMQHDi37xrr4sA4gkgsAVWioH4RTGo/6PR6uvSOhoJi+2/UQyXy4WPjw98fHymdfzJkyexb9++KXMdNBoNpFKpwVshFArR1tY2QVwAxm2X30QvGqYSF97e3nB1dWWduFAqlXBzc4NEIrGp6ZaOwKJFi1BQUIDy8nKUl5dj7dq1iIuLQ/31RvROo8GYyVAU7vzpEXb/aTM0Og2+/fZbEg4gsBJWhgloHY0fP7uE0X6pVdd19XLBkb/uAteZ3Nm9Tl9fH548eYIdO3ZYZT21Wm2Ub/F6WEShUEz6nreJDGdn5wnhkNfFham2/vbbb9i/fz/++OMPrF69Gi4uLiadk2AZaJrGrVu30CZoB8o8oFPr3v0mc0ABukQFWjgCkhhIYC2s9AxQHArZW9Pw6JsXVutESHEoZGxKIUJgEsLCwjA2NoaRkRGrDE9ydnaGv78//P39zXI+lUo1IZmzsbERo6OjUKlU7/RWvP4aTdNwdXU1iAk+n4+UlBQIhULI5XIiBFgMRVFYt24dng9U4qWm1noL04Bzlwf+sfgfyfWFwFpYKQYAIGNjMuquCiDpk1p+YBEFOHs6Yc7ODMuuY8Ps3r0bZ86cwYcffsi0KTPGxcUFAQEBZsvyVyqVBm/F3bt3kZqaigcPHqCqqgpKpdJw3NtEhh6apuHm5jZpSMTLy4sMjTIzWrV2PARpZX+oVqFDy6MOJK+It+7CBMI0YWWYQM9AwxAu/Ns/rPLFzf04FUJqAGvWrGFkFrktUF5ejsDAwAld2xyZ4uJiHD58GLdu3cKSJUvg7u4+o/fTNG0QF2+GREZHR6HRaGZsk7u7+5QJnU5OrNX/VqHtaSeu/8M9q69LcSiEpQdj2z9Yd7wxgTBdWH1lCEkJwrwDOXhxrtqi62RuSUVB4XxotVrcvn0bYWFhyMnJseiatsjy5ctx4sQJZGRksC6Jjwna29sRExMDAFAoFDMWAsC498DNzQ1ubm4IDg422SaapqFQKIzEhT6ZUyqVQqvVzvicHh4ek5ah2mJ3zj7+4FtbDFsKWkdjoGEIOq0OHC77m44RHA9WiwEAmLs3G2NiBequNljk/InLYrH4w/HmJFwuF+vXr0dbWxtKS0uxatUqi08iszU2b96Mq1evYsuWLUybwjiPHj3Cnj17oFKpWOPOpygK7u7ucHd3R0hIiMnno2kacrncyGMxODhoePxmd86pzqG3DZjYnVMvMLy8vCzenXOgUWh1IaBHq9ZhpFsC/xg/RtYnEN4G68UARVFY8sl8OLs7o/K3OlAUYHJggwJAA+nrk7D0swUTlHpcXBxiY2Nx9+5d+Pn5Ye7cuSYuaD/ExMTg3r17kMlkDi+UNBoNnJycUFZWNqMWuLaEvvuluf7W+u6cr3supurOCUwUEm++RlHUlGWoHh4eE8SFsHnYLD/HbBlqFRExQGAlrBcDwPiFYOHRPERkh6LsfzzG2Ihi1kmFFIeCi4czlv+LAiQsinnrmqtXr0Z3dzdKSkqwfPlyq2TS2wJ79+7Fjz/+iPfff59pUxhjbGzMkFsyOjpK+gtME333Sy8vL4SHh5t8vje7c0okEnR3dxvEhV4wAOPiQSW3UjnhZFCAUqpibn0C4S3YhBjQE50XgX3Ht+LFj9XgXW+ERqk13OW/EwrgOHGQsioBC47MgbvP9JIEIyMjERERgfLycri6upIaYQCurq6IiopCY2MjkpMnb7Vq75SXl2PFihXQarU2Fze3J2bSnZOmaXz90w9WsGpyKMDylVEEwiyxKTEAAC4eLlj84TzMP5iLxnutENxqxlCrCDrN5Iqf4lIIiPVDyqoEpK5OgKvXzJvMUBSFFStWYGBgAKWlpSgoKEBQEPvaFluTtWvX4i9/+QuSkpIcMplwYGAAISEhePjwIRGINgJFUeA4caa8VlgamgacXIlwJLATmxMDepzdnZGxMQUZG1Og0+og6hyBqEMMtUIDWkfD2c0Z/jG+8I/2NVujj5CQEBQWFuLRo0fg8/lYsmSJQ26EetavX4+bN29i/XrHKpd6vRpXJBKRKYU2hHeoF0a6JYyt7xNGwkkEdmKzYuB1OFwOAuP8ERhnno5172Lx4sUQiUQoLS3F/PnzERYWZpV12UZiYiLu378PhULhUL0ZGhoakJaWBp1O59Bi0BYJTQ2CpG+UsRHpQYlEOBLYCSl4nSX+/v7YunUrOjs7UVZW9s5Oc/bK3r178csvvzBthlV58eIF8vPzUVFRgfz8fKbNIcyA4KRAxuL2XsGecPUk7aoJ7ISIAROZP38+8vPzceXKFXR2djJtjtXx8PBAUFAQ2tvbmTbFauh0OnA4HPT39zusV8hWiV0Qxci6FIdC4lL7n4hKsF2IGDAD3t7eKCwsxNDQEG7evDmtRiz2xMaNG3Ht2jWmzbAK+jJCmqYd1htky3gHeyIyL2w8td+K0DoaGRsds/KGYBsQMWBG8vLysHTpUly9ehUtLS1Mm2M19NUWZWVlTJticcrKyrBixQpUV1eTltU2hlwux7lz5yDyHrDqoCKKQyEqL4IkDxJYDREDZsbd3R2FhYUYGxvD9evXZzVoxhZJT09Hc3MzVCr7bqoiFovh7++Pzs5OxMYSt68toBcBFy9exI4dO3D4Xx1A9NwIUBwruQcoYPEHpIspgd0QMWAhMjMzsWrVKty8eRMCgYBpc6zCnj178OuvvzJthsV4vZsdgf3IZDL88MMPuHTpEnbs2IGDBw/Cw8Nj3JP1LwrAdbFOzf/8g7mkBTGB9bB6hLG9IBAI0NzcjLVr18LFxb6ziS9duoQFCxaYpdUs26isrASXy4WLiwsoikJKSgrTJhEmQSaT4eLFi+BwONi+fTs8PDwmPa6pvA23/38PLGYHxaEQkhKEbf+wjkwqJLAeIgashEajwe3btxEVFYXMzEymzbEYNE3j66+/xqeffsq0KWbn7NmzOHz4MK5cuYLCwkKmzSG8wesiYMeOHdMaKV1Twsej0y/MbgvFoeAf44tt/2U9XL3s+waAYB/YRdMhW8DJyQkbNmxAS0sLrly5gtWrV0/rYmVrUBSFhQsX4vHjx1i0aBHT5pgViqJImICFvC4Cdu7cOaPvVfbWNHCdOXhw4hlAUWbrQRCSEoRN/3EVEQIEm4F4BhhAp9Phzp07CAoKwpw5c5g2xyJ8/fXX+OCDD+DkZB96UygU4unTp8jIyIBEIiGVBCxALwK4XC62b99ukrgebBTizp8fQtwtmXWlAcWhAGo8RyC3KIOEBgg2BREDDNLZ2YnKykqsXLnS7kbgDg8P49atW9i7dy/TppiF33//HRs2bMCdO3dQWFhIPAQMIpVKcfHiRTg5OZksAl5Hq9ai8rc6VF/mQyVTgaLGhwu9C4oz7lGIygvHog/yEUCSBQk2iH3cttko0dHRiIqKwr179+Dp6Yn58+czbZLZCAgIAIfDweDgIIKDg5k2x2Tkcjk8PT1JqIBBXhcBu3fvNvs8DK4zF/n7c5C7MxMtj9rBu96EgcYh6NT/3ESMAihQRs2mvII9kbg0Fhkbk0kfAYJNQzwDLKGvrw/Pnz/H0qVL4e9vnYFLlkar1eKbb77BJ598wrQpJqHVavHTTz9h1apV6O7uxrx585g2yaHQiwBnZ2ds377dqkOxdFodxF0SDLUOQyVTQ6fVwcmFC98IHwQlBJCcAILdQMQAi6BpGg8fPgSHw8HixYuZNscsPHv2DFwu16YH+jx58gRBQUEQCATYtGkTOBwSC7YGr3sCduzY4VCTMQkEa0OuaiyCoigsXboUKSkpKCkpwcDAANMmmcyCBQvw4sULm57X0NjYiKSkJNA0TYSAFRgdHUVxcTGuXLmC3bt3Y//+/UQIEAgWhuQMsJCgoCBs3boVT58+BZ/Px7Jly2w6Tr1jxw5cvHgRO3fuZNqUWSMUChEQQGbRW5LR0VFcunQJzs7OFskJIBAIU0PEAItZuHAhRkZGUFpairlz5yIyMpJpk2ZFaGgoVCoVxGIx/Pz8mDZnRvT29iI8PBxPnz7Fhg0bmDbHLhkdHcXFixfh4uJCRACBwBAkZ8BGqKiogFgsxurVq23SS6DRaPDXv/4VH330EdOmzIiff/4Z27dvx40bN7B161amzbErJBIJLl26BBcXF+zYsQOurq5Mm0QgOCzEM2Aj5OfnQyaT4cqVK8jOzra5iXlOTk5IT09HTU0NsrOzmTZn2iiVSiiVSvj4+DBtit2gFwGurq7Yu3cvEQEEAgsgngEbpLq6Gn19fVizZg24XOtMXjMXJ06cwKeffmoT3g21Wo3ffvsN/v7+WLVqld0PmbI0r4uA7du3ExFAILAIIgZsFIVCgTt37iAlJQVJSUlMmzNturq68OrVK5twuZeVlSExMRFVVVVkMJEJEBFAILAfUidlo7i5uWHz5s1Qq9W4du0a1Go10yZNi6ioKIyMjEAqlTJtyjvp7OxEUFAQSWibJRKJBGfOnMH169exd+9eEhIgEFgM8QzYAWq1Grdv30ZsbCzS09OZNuedKJVKnDt3DseOHWPalLdSXFyMsLAwLFmyxC4nTFqKkZERXLp0Ce7u7ti2bRsRAASCDUDEgB3R1NQEgUCANWvWsP5u9s6dO4iMjETq/7+9e31q6k7jAP49oYkQLgGRiyBErinVhQo69cIiEFcRK9S1nbXWatdh9N1u95U7s7P/wL7YnX2zvahbHJnZnb5wRrnPFCgWydQLtMUL4AVZ5GLCJRJsAEnOvrA4OmV1gZxLcr6flyb5PQ9OJvnmOb9zjsWidCsLun//PgYGBuB0Ov3ikIYaPB8CysvLuceCyI/wbIIAkp6ejpSUFDQ3NyMuLk7Vt9ktLi7GJ598gszMTFVuJrTZbCgvL8fFixeVbkX1ng8BBw4cYAgg8kOcDASo/v5+dHV1oaioCKGhoUq3s6C+vj709PSgpKRE6VZ+pqqqCmvWrEFeXl7A3V7aV+ZDgNFoRFlZGUMAkR/jZCBAmc1mJCcno6WlBSaTSZU3CkpJSUFrayvcbreqjsm73W4EBwdjamqKQWABTqcTFy5cQGhoKCcBRAGCkwENGBwcREdHBwoKCmAymZRu5wVutxtffvkljhw5onQrzzQ2NiI7OxudnZ0oLS1Vuh3VmA8BnAQQBR5OBjQgMTERCQkJ+Oabb2AwGLB582alW3omJCQE8fHx6OvrQ0pKitLtAAAcDgfu3bunqv8nJTmdTpw/fx5hYWF4//33odfrlW6JiHyM1xnQCEEQUFBQgNTUVFRXV2N0dFTplp7ZuXMnGhsblW4DACCKIkRRxMTEhObvUuh0OnHmzBk0NTXh4MGD2L9/P4MAUYDiYQKNam9vh8fjQX5+vip28/f09GBwcBDFxcWK9tHd3Y3JyUnY7XbNXnVwYmICFy5cQFhYGMrKyhgAiDSAhwk0auvWrZiYmEBtbS3y8vKwevVqRfuxWCxoa2vDzMyMohepuXbtGtLT07Fx40bFelDK8yHg4MGDDAFEGsLJAOHKlSuYmppCYWGholMCl8uF8+fP49ChQ4r1cPbsWURFRWlqKjAfAsLDw7F3716GACIN4mSAsGnTJrhcLtTU1CAnJwfJycmK9BEeHg6TyYTBwUEkJibKXn9yclJTpxKOj4+juroa4eHhnAQQaRwnA/SC7777Dg6HA1arFTqd/PtLRVHE559/juPHj8teu7q6GlFRUUhKSoLZbJa9vlyeDwGcBBARwDBAC3C73WhubkZWVhZSU1Nlr//DDz/A5XJh27ZtstYN9EME8yEgIiICe/fuxWuvcTBIRE/x1EL6mZCQEOzZswdutxsNDQ2Ym5uTtX52djZu3rwpa11RFFVxVoUUxsbGUFlZidbWVnzwwQfYt28fgwARvYCTAXqp2dlZfPXVV0hLS5P1DoNOpxMNDQ04cOCALPU6Ozvx4MEDWCwWZGZmylJTamNjY6iurobJZOIkgIheip8O9FIGgwGlpaXo7e1FXV0dduzYIctlaCMjI2EwGGC32xEbGyt5vevXr8NkMgVEEHg+BBw6dIghgIheiZ8S9H/JzMxEamoqmpqakJiYiPXr10te85133sGpU6dw7NgxyWsJgqDIhklfGh0dRU1NDSIjIxkCiGhReJiAFu3evXu4efMmrFar5HcbvHr1KkRRxKZNmySrMf9LOjc3F9nZ2ZLVkcrzIeDtt99mCCCiRWMYoCXxer1obm5GdHQ0NmzYIGmtzz77DBUVFQgKCpJk/XPnzsHr9WL//v1+tYlwdHT02emQDAFEtBwMA7QsAwMD+P7777F9+3bJLtjjcDjQ2tqKd999V5L1q6qqnv2q9gecBBCRr/FThJYlKSkJa9asQWtrK0JDQyUZ58fExMDj8WB8fNzndxL0eDyYnJyU9UyJpXI4HKipqcHKlSvx4YcfSjYpISLt4WSAfGZkZASXL19Gfn6+z7+05+bmUFlZiYqKCp+ua7PZ0NXVhYqKCtVuIHQ4HKitrcXKlSuxZ88ehgAi8jmGAfIpURRx6dIl6HQ6bN261adr22w2GI1G5OTk+GzNqqqqZ+fhq838JCA6OpohgIgkpc6fQuS3BEFAfn4+LBYLampqYLfbfbb2li1bYLPZ4Mv86nK5EB0d7bP1fMFut+OLL76AzWbD4cOHUVZWxiBARJLiZIAk9e2332J6ehoFBQU+2ak/NDSEK1euoLy83CdrVVZW4sSJE6r4srXb7aitreUkgIhkxw2EJKm33noLjx49Qm1tLTZs2LDsWxMnJCRgamoKk5OTiIiIWNZabW1tyMrKUvxLdz4ErFq1CocPH1a8HyLSHk4GSDYdHR1wOp0oKipa1pRgdnYWVVVVOHr06LL6OXnyJDIyMlBYWLisdZbq+RBQWlrKEEBEiuFkgGSTm5uLx48fo66uDuvWrcPatWuXtI7BYEBqaipu3bqFrKysJa0xOzuLvr4+HDlyZEmvX46HDx+itrYWMTExnAQQkSpwMkCK6OrqwvDwMKxW65K/DD/99FMcP358SVOGlpYW9Pf346OPPlpS7aV4+PAh6urqOAkgItVhGCDFzMzMoLm5GRkZGUhPT1/06/v7+3Hjxg2UlpYu+Pjj8R/xaMiFuZk5CIIAvVGPlcmRMBj1OH36NMxmM3bs2LHcP+OVRkZGUFdXh9jYWJSWlqr2egZEpF0MA6S47u5u3L9/H1arFXq9flGvPXPmDN577z0YjUZ4nnhw79J/cLftPh72jmL60cyCr4mID8OgewD7f1+OtblJkt2PYGRkBPX19YiNjcXu3bsZAohItRgGSBWePHmCpqYmmM3mRe0DmJ6exr/O/htvBOfgZv1tzD6eBQQAr3hXixAhQIApIRxv/nodLNY0CDrfhAJOAojI3zAMkKrcuXMHvb29KC4uRnBw8CufP9A5hMa/fA2P2/vKALCgn4JDfFYMij7eioj4pd9siZMAIvJXDAOkOh6PBy0tLYiNjUV2dvaCzxG9Itr/eQ3Xq7shCMBy38WCToAuSEDRx9uQlm9e1GuHh4dRX1+PuLg4hgAi8ksMA6Ra/f396OrqQlFREUJDQ5/9u+gV0fL3dtz+uk+SuoW/2wKLNe2Vz5sPAfHx8SgpKWEIICK/xTBAqiaKIlpaWmAymZCXlwcAuHTyCq7X9EhXVAB2/nE7UjYnLfgwQwARBRqGAfILQ0ND6OjoQFp4Ji7+9bLk9QxGPX7zjzIYo0Je6KGhoYEhgIgCDsMA+Y1p1zSqjp1b+mbBRRB0ApLzErDrT4UYHh5mCCCigMYwQH6j/fRVXK/pgeiV7y0btPkJEt+Mx65duxgCiChg8d4E5BeeTM/hVuMdWYMABGD1TDJ277bKV5OISAH8qUN+4c7FPszNzMlbVAQedA5jcsQlb10iIpkxDJBfuN3a9/QCQTITdALutvXLX5iISEYMA6R6oleE4/a45JsG/xfHnTFlChMRyYRhgFRvcsQl/yGCn4heEfaeUUVqExHJhWGAVG9i4JGi9R+PuxULI0REcmAYINWbm/Eo3YIqeiAikgrDAKmfAhsHf0YNPRARSYRhgFTPEKJXugXog3lJDiIKXAwDpHpR5khF64fHhSFIH6RoD0REUmIYINULW2WEIVSZ6YCgExBnWaVIbSIiuTAMkOoJgoA4SwwEnfwH7kVRRGwmwwARBTaGAfILFmuavPcl+IkgCEj7pVn2ukREcmIYIL+wdnMSgiNWyFpTCBKQui0ZxsgQWesSEcmNYYD8QtBrOvxi7+uynuInesSnNYmIAhzDAPmNnH1vwLQ6XJa9A4JOQFZJBuIsMZLXIiJSGsMA+Y0gfRCK/7ANoijt3gFBJ8AYFYzNR3IlrUNEpBYMA+RXYjNXYctv86QrIAC6IAG/OlEAg1H5ix0REcmBYYD8TnZ5FjYezPb5uoLwdG9CyZ+LeHiAiDRFEKWeuRJJ5EZdD9pPXYMoiss+7VDQCQg2rcDOP25H/OsMAkSkLQwD5NcmHjxCy9/a4bgz9vRMg0W+mwWdANErwrIjDVuO5mFFqEGSPomI1IxhgPye1+PF7a/70FXdjbG+CQhBAkTPS97WwtOLCYmiCPOmNcguz0LC+jj5GiYiUhmGAQoo9tujuNvWD3vvGEbvjmNuZu6Fx4NNKxCbsQpxr8cgszAFYTGhCnVKRKQeDAMUsESviB8n3Jib9UCnE6AP0ct+FUMiIn/AMEBERKRxPLWQiIhI4xgGiIiINI5hgIiISOMYBoiIiDSOYYCIiEjjGAaIiIg0jmGAiIhI4xgGiIiINI5hgIiISOMYBoiIiDSOYYCIiEjjGAaIiIg0jmGAiIhI4xgGiIiINI5hgIiISOMYBoiIiDSOYYCIiEjjGAaIiIg0jmGAiIhI4xgGiIiINI5hgIiISOMYBoiIiDSOYYCIiEjjGAaIiIg07r/OYrO9lPkO7AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "TopologyGenerator.plot_graph(fleet.graph, node_color_attr='dataset',\n",
    "                            edge_color='black',\n",
    "                            edge_widths=edge_widths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 0, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [97 66 33 19 34  3 12  2 13 92 80  5 27 60 36 11  9 25 31 87 58 44 94 95\n",
      " 64 61 62 86 79 98 93 51 22 59 26 37 83 73 78  1 30 55 85 47 41 20 63 43\n",
      " 90 88 21 40 15 75  4  0 52 23 35 53 84 69 16 10 71 81  6 91 56 76 38 50\n",
      " 57 74 49 18 24 39 48 99  8 65 89 67 54 32 42 14 68 45 96 77 46 28 72 17\n",
      " 29 82  7 70]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [97 66 33 19 34  3 12  2 13 92 80  5 27 60 36 11  9 25 31 87 58 44 94 95\n",
      " 64 61 62 86 79 98 93 51 22 59 26 37 83 73 78  1 30 55 85 47 41 20 63 43\n",
      " 90 88 21 40 15 75  4  0 52 23 35 53 84 69 16 10 71 81  6 91 56 76 38 50\n",
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      " 29 82  7 70]\n"
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      "INFO:root:task 13 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [13 55 29 67 64 47 58 19 30 38 15 16 34 35 73 96 25 89 63  5 44 21 28 60\n",
      " 80 86 36 95 83 40  2 24 37 61 62 57 53 79 27 82 65  4 22 45 78 33 32  9\n",
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      " 77 52 87 31  6  1 84 43 85 42 12 94 26 88 17 49 75 92  8 97 66 50  0 23\n",
      " 20 81 14  3]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (455, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n"
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      " 80 86 36 95 83 40  2 24 37 61 62 57 53 79 27 82 65  4 22 45 78 33 32  9\n",
      " 90 56 46 48  7 59 41 93 98 69 51 74 68 72 71 39 54 18 91 76 70 11 10 99\n",
      " 77 52 87 31  6  1 84 43 85 42 12 94 26 88 17 49 75 92  8 97 66 50  0 23\n",
      " 20 81 14  3]\n"
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      "INFO:root:task 12 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [11 37 44 67 45 66 96  1 88  4  2 84 22 50 29 28 41 82 25  5  9 77 13 17\n",
      " 48 76 93 81 73 91 14 94 24 32 75 19 71 10 55 63 58 33 83 18 21  6 26 52\n",
      " 68  3 78 57 80 15 59 99 86 95 92 30  0  8 53 49 35 31 16 61 60 47 98 40\n",
      " 46 34 97 56 12 74 51 43 27 70 20 90 64 36 72 65 62 42 69  7 89 38 39 79\n",
      " 85 23 87 54]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "text": [
      "labels: [11 37 44 67 45 66 96  1 88  4  2 84 22 50 29 28 41 82 25  5  9 77 13 17\n",
      " 48 76 93 81 73 91 14 94 24 32 75 19 71 10 55 63 58 33 83 18 21  6 26 52\n",
      " 68  3 78 57 80 15 59 99 86 95 92 30  0  8 53 49 35 31 16 61 60 47 98 40\n",
      " 46 34 97 56 12 74 51 43 27 70 20 90 64 36 72 65 62 42 69  7 89 38 39 79\n",
      " 85 23 87 54]\n"
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      "INFO:root:task 10 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (460, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [63  2 24 65 38 56 94 61 75 55 25 96 86 32 11 64 30 67 80 27 41 52 20  0\n",
      " 97 50 40 43 36 17 33 34 53 29 44 16 84 15 90 62 18 51 79 88 95 49 35 76\n",
      " 59 31  8 14 68  9 71  6 73  5 66 28 72  1 13 93 60 12 78 26 98  4 46 39\n",
      "  3 48 37 69 70 87 83 91 42 47 45 81 92 19 74 89 22 10 82 23 77 85 99 58\n",
      " 21 54  7 57]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "output_type": "stream",
     "text": [
      "labels: [63  2 24 65 38 56 94 61 75 55 25 96 86 32 11 64 30 67 80 27 41 52 20  0\n",
      " 97 50 40 43 36 17 33 34 53 29 44 16 84 15 90 62 18 51 79 88 95 49 35 76\n",
      " 59 31  8 14 68  9 71  6 73  5 66 28 72  1 13 93 60 12 78 26 98  4 46 39\n",
      "  3 48 37 69 70 87 83 91 42 47 45 81 92 19 74 89 22 10 82 23 77 85 99 58\n",
      " 21 54  7 57]\n"
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     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (555, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (455, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 6 30 52 18 83 48  1 71 97 53  5 31 72 49 11 40 59 27 14 75 63 41 93 74\n",
      " 44  7 77 87 33 51 28 43 24 69 54 42 19 17 68  8  3 73 46 22  4 92 76 89\n",
      " 78 56 61 91 50 67 45  0 36 99 79 64 96 21 29 32 98 70 88 57 39 47 12 81\n",
      " 10  2 25 37 60 20 16 86  9 62 55 58 94 23 13 35 90 80 34 84 15 95 82 85\n",
      " 65 26 38 66]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (550, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n"
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     "output_type": "stream",
     "text": [
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      " 44  7 77 87 33 51 28 43 24 69 54 42 19 17 68  8  3 73 46 22  4 92 76 89\n",
      " 78 56 61 91 50 67 45  0 36 99 79 64 96 21 29 32 98 70 88 57 39 47 12 81\n",
      " 10  2 25 37 60 20 16 86  9 62 55 58 94 23 13 35 90 80 34 84 15 95 82 85\n",
      " 65 26 38 66]\n"
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     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [31  6 72  5 12 20 71 70 26 66 52 42  2 47 56 86 21 33 76 16 80 98 97 79\n",
      " 10 84 55  8 23 83 77 68 93 25 27 90 24 43 91 40 96 28  7 49 35 15 48 50\n",
      " 18 53  0 92 58 34 95 32  9 64 11 60 73 14 39 19 51 88 99 29 13 87 41 69\n",
      " 37  4  3 63 67 65 59 62 54 36 61 94 89 75 74 30 78 46 85 22 17 81 57 44\n",
      " 45 82 38  1]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "text": [
      "labels: [31  6 72  5 12 20 71 70 26 66 52 42  2 47 56 86 21 33 76 16 80 98 97 79\n",
      " 10 84 55  8 23 83 77 68 93 25 27 90 24 43 91 40 96 28  7 49 35 15 48 50\n",
      " 18 53  0 92 58 34 95 32  9 64 11 60 73 14 39 19 51 88 99 29 13 87 41 69\n",
      " 37  4  3 63 67 65 59 62 54 36 61 94 89 75 74 30 78 46 85 22 17 81 57 44\n",
      " 45 82 38  1]\n"
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     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (446, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 6 82 28 87 50 48  2  1 85 73 62 18 67 45 79 71 44 70  7 35 33 22  3 84\n",
      " 14 58 24 91 83 72 59 90 41 51 43 25 29 92 63 56 46 47 26  0 39 17 34 97\n",
      " 30 53 36 64 81 93 57 20 55 60 31 12 11 54  4 94 49 68 78 38 98 10 19 66\n",
      " 96 37  9 69 76 13 89  8 74 23 15  5 52 61 95 65 32 21 42 40 27 16 99 77\n",
      " 75 88 80 86]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "output_type": "stream",
     "text": [
      "labels: [ 6 82 28 87 50 48  2  1 85 73 62 18 67 45 79 71 44 70  7 35 33 22  3 84\n",
      " 14 58 24 91 83 72 59 90 41 51 43 25 29 92 63 56 46 47 26  0 39 17 34 97\n",
      " 30 53 36 64 81 93 57 20 55 60 31 12 11 54  4 94 49 68 78 38 98 10 19 66\n",
      " 96 37  9 69 76 13 89  8 74 23 15  5 52 61 95 65 32 21 42 40 27 16 99 77\n",
      " 75 88 80 86]\n"
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     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [66 65 15 81 88 34 41  4 33 29 76 82 38 94 85 57 86 11 95 78 77 67 53 75\n",
      " 27 99 91 21 32  6 60 96 44 46 70 68 74 63 72 35 56  2 62 31 13  1 42  9\n",
      " 80 58 83 25 97 17 73 16 37 71 54 52 93 48 19 47 98  7 45 14 23 18 40 64\n",
      " 69  5 87 59 61 22 43 10 26 90 89  8 79 55 49 24 20 92 50  3  0 51 30 36\n",
      " 28 39 84 12]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (539, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "output_type": "stream",
     "text": [
      "labels: [66 65 15 81 88 34 41  4 33 29 76 82 38 94 85 57 86 11 95 78 77 67 53 75\n",
      " 27 99 91 21 32  6 60 96 44 46 70 68 74 63 72 35 56  2 62 31 13  1 42  9\n",
      " 80 58 83 25 97 17 73 16 37 71 54 52 93 48 19 47 98  7 45 14 23 18 40 64\n",
      " 69  5 87 59 61 22 43 10 26 90 89  8 79 55 49 24 20 92 50  3  0 51 30 36\n",
      " 28 39 84 12]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [ 7  8 19 18 48 59 36 34 75 30 93 86 53  6  9 77 95 89 39 55 71 32 61 12\n",
      " 50 99 74 96 24 69 49 57 47 78  1 62 73  0 37 40 70 65 27  5 83 98 91 51\n",
      " 15 72 64 60 20 23 82 45 44 63 68 17 25 11 76 16  3 58 67  2 90 21 35 94\n",
      " 14 28 56 22 85 81 26 79 66 54 92 52 43 97 87 10 80  4 33 46 29 88 84 41\n",
      " 31 38 13 42]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (533, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [ 7  8 19 18 48 59 36 34 75 30 93 86 53  6  9 77 95 89 39 55 71 32 61 12\n",
      " 50 99 74 96 24 69 49 57 47 78  1 62 73  0 37 40 70 65 27  5 83 98 91 51\n",
      " 15 72 64 60 20 23 82 45 44 63 68 17 25 11 76 16  3 58 67  2 90 21 35 94\n",
      " 14 28 56 22 85 81 26 79 66 54 92 52 43 97 87 10 80  4 33 46 29 88 84 41\n",
      " 31 38 13 42]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 0\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7000\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420000\n",
      "Setting seed 0\n",
      "Setting seed 1000\n",
      "Setting seed 2000\n",
      "Setting seed 3000\n",
      "Setting seed 4000\n",
      "Setting seed 5000\n",
      "Setting seed 6000\n",
      "Setting seed 7000\n",
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 1, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [68 60 90 97 15 26 40 87 73  0  2 21 92 76 64 35 83 28 46 45 71 70 55  3\n",
      "  8 47 74 94 86 31 11 34 32 96 69 22 82 95 18 52 13 33 16 84 53 75 57 36\n",
      " 30 12  5 93  9 51 72 56 78 65 88 24 44  4 27 37 48 62 14 50 43 42 29 63\n",
      " 81 91 67 23 39 85 10 41 25 59 38 80 54 17 20  6 79 98  7 61 19 58 89 66\n",
      " 49  1 99 77]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (446, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (531, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [68 60 90 97 15 26 40 87 73  0  2 21 92 76 64 35 83 28 46 45 71 70 55  3\n",
      "  8 47 74 94 86 31 11 34 32 96 69 22 82 95 18 52 13 33 16 84 53 75 57 36\n",
      " 30 12  5 93  9 51 72 56 78 65 88 24 44  4 27 37 48 62 14 50 43 42 29 63\n",
      " 81 91 67 23 39 85 10 41 25 59 38 80 54 17 20  6 79 98  7 61 19 58 89 66\n",
      " 49  1 99 77]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (543, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (461, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [63 93 97 51 96 92 82  6 32 20 70 54 17 84 77 62 86 75  1 31 45 27 25 33\n",
      " 76 11 56 13 36 87 37 24 28 65 44 48 81 42 12 74 40 16 55 72 88 90 43 66\n",
      " 47  9 99 19 67  8 50 38 39 69 73 52 18 60 22  3 15 57 68 91 71 85  4 61\n",
      " 94 26 23 83 10 30 46 53 29 79  5 58  7 21 59 98 64 14 80 89 35 95 78  2\n",
      "  0 41 49 34]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [63 93 97 51 96 92 82  6 32 20 70 54 17 84 77 62 86 75  1 31 45 27 25 33\n",
      " 76 11 56 13 36 87 37 24 28 65 44 48 81 42 12 74 40 16 55 72 88 90 43 66\n",
      " 47  9 99 19 67  8 50 38 39 69 73 52 18 60 22  3 15 57 68 91 71 85  4 61\n",
      " 94 26 23 83 10 30 46 53 29 79  5 58  7 21 59 98 64 14 80 89 35 95 78  2\n",
      "  0 41 49 34]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [13  0 10 22  2 93 80  5  7 99 94 76 54 12 83  9 39  8 87 98 32 46 61 69\n",
      " 70 92 71 29 27 75 21 17 85  1 74 97 43 91 51 59 14 20 63  6 41 25 81 65\n",
      " 53 57 67 35 31 45 64 44 68 30 84 73 86 26 95 37 48 56 15 78 38 19 90 58\n",
      " 34 77 89 88 36 42 23 52 33  3 62 55 40 60 50 72 24 16 82 28 18 49 47 66\n",
      " 96 79 11  4]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [13  0 10 22  2 93 80  5  7 99 94 76 54 12 83  9 39  8 87 98 32 46 61 69\n",
      " 70 92 71 29 27 75 21 17 85  1 74 97 43 91 51 59 14 20 63  6 41 25 81 65\n",
      " 53 57 67 35 31 45 64 44 68 30 84 73 86 26 95 37 48 56 15 78 38 19 90 58\n",
      " 34 77 89 88 36 42 23 52 33  3 62 55 40 60 50 72 24 16 82 28 18 49 47 66\n",
      " 96 79 11  4]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 5 81 60 19 41 97 98 51 26 84 80 17 82  2 44 83 75  8 45 93  9  0 94 52\n",
      " 10 99 16 24 11 27 34 65 30 12 92 56 42 55 87 88  7 33 32 91 29 40 20 86\n",
      " 96 48 31 71 79 72 46 61 36  4 18 43  1 28 53 54 25 78 90 74 37 38 95 69\n",
      " 14 58 23 62 64 76 68 13 22 63 47  6 21 35  3 89 77 39 67 70 66 15 73 85\n",
      " 50 59 57 49]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (462, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [ 5 81 60 19 41 97 98 51 26 84 80 17 82  2 44 83 75  8 45 93  9  0 94 52\n",
      " 10 99 16 24 11 27 34 65 30 12 92 56 42 55 87 88  7 33 32 91 29 40 20 86\n",
      " 96 48 31 71 79 72 46 61 36  4 18 43  1 28 53 54 25 78 90 74 37 38 95 69\n",
      " 14 58 23 62 64 76 68 13 22 63 47  6 21 35  3 89 77 39 67 70 66 15 73 85\n",
      " 50 59 57 49]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (459, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [49 43 99 84 92 28 29 19 40 13 58  7 72 11 15 33 35 78 16 62 26 18  5 47\n",
      " 83 54 12 45 38 24 67 77 95  8 50 57 41 79 36 31 85 81 14 21 34 90 76 32\n",
      " 61 66 56 69 25 89 23 48  4  6 37 75 65 59 39 86 93 53 17 55 97 60 64  1\n",
      " 98 80 10 44 52 51 27 87 46 68 91  3 73 30  0 74 82  2 96 88  9 70 63 22\n",
      " 94 42 20 71]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (457, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [49 43 99 84 92 28 29 19 40 13 58  7 72 11 15 33 35 78 16 62 26 18  5 47\n",
      " 83 54 12 45 38 24 67 77 95  8 50 57 41 79 36 31 85 81 14 21 34 90 76 32\n",
      " 61 66 56 69 25 89 23 48  4  6 37 75 65 59 39 86 93 53 17 55 97 60 64  1\n",
      " 98 80 10 44 52 51 27 87 46 68 91  3 73 30  0 74 82  2 96 88  9 70 63 22\n",
      " 94 42 20 71]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (449, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 6 29 16 26 78 10 11 53 87 36 33 52 12 19 69 35 27 71 90 23 13 32  1 57\n",
      " 73 63 83 28 61 39 95 31 34 79 30 21 44 43 86  8 77 67 49 89 24 72  4 15\n",
      " 94 74 62 37 88 40 59 85  2 92 93 96 98  7 60 55 41 54 22 68  5 64 14  3\n",
      " 25 42 50 56 82 47 84 17  9 99  0 81 97 58 20 66 48 18 76 45 80 70 51 65\n",
      " 38 91 75 46]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [ 6 29 16 26 78 10 11 53 87 36 33 52 12 19 69 35 27 71 90 23 13 32  1 57\n",
      " 73 63 83 28 61 39 95 31 34 79 30 21 44 43 86  8 77 67 49 89 24 72  4 15\n",
      " 94 74 62 37 88 40 59 85  2 92 93 96 98  7 60 55 41 54 22 68  5 64 14  3\n",
      " 25 42 50 56 82 47 84 17  9 99  0 81 97 58 20 66 48 18 76 45 80 70 51 65\n",
      " 38 91 75 46]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [19 71 11 32  9 85 67 24  1 17 58 34 82 15 77 74 10 43 23 64 93 26 92 79\n",
      " 39 56 97 25 70 52 54 45 36 28 27  4 60  5 16 63 42 30 38 84 55 94 72  3\n",
      " 35 69 48 80 46 73 81 22 14 33 91 90 83 40  2 68 49 75 53  8 44 47 86 62\n",
      " 65 13 12 95 88 37 57 98 59 18  6 78 50 61 66  0 29 76  7 20 87 89 41 21\n",
      " 31 99 51 96]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (534, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [19 71 11 32  9 85 67 24  1 17 58 34 82 15 77 74 10 43 23 64 93 26 92 79\n",
      " 39 56 97 25 70 52 54 45 36 28 27  4 60  5 16 63 42 30 38 84 55 94 72  3\n",
      " 35 69 48 80 46 73 81 22 14 33 91 90 83 40  2 68 49 75 53  8 44 47 86 62\n",
      " 65 13 12 95 88 37 57 98 59 18  6 78 50 61 66  0 29 76  7 20 87 89 41 21\n",
      " 31 99 51 96]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (550, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [61 99 26 84 59 52 12 76 78 34 39 89 25 64  9 60 24  7  4 73 75 98 86 41\n",
      " 57 90 37 92  2 20 21 15 94 40 38 96 47 11 87 80 51 55 19 33  3 35 44 74\n",
      " 10 50 83 97 82 30  1 29 63 18 53 91  5 17 45 56 32 79 70 69 13 22 48 88\n",
      "  8 95 54 62 36  0 28 58 71 43 23 77 27 93 49 85 31 67 14 16 66 68 42  6\n",
      " 65 46 81 72]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [61 99 26 84 59 52 12 76 78 34 39 89 25 64  9 60 24  7  4 73 75 98 86 41\n",
      " 57 90 37 92  2 20 21 15 94 40 38 96 47 11 87 80 51 55 19 33  3 35 44 74\n",
      " 10 50 83 97 82 30  1 29 63 18 53 91  5 17 45 56 32 79 70 69 13 22 48 88\n",
      "  8 95 54 62 36  0 28 58 71 43 23 77 27 93 49 85 31 67 14 16 66 68 42  6\n",
      " 65 46 81 72]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (538, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [16 70 14 17 77 57 30 29  3 34 27 79 32 33 83 72 63 65 76 73 52 95 61 26\n",
      " 44 20 98 13  5 81 38  7 42 99 23 45  4 75 59  9 58 80 84 64 24 92 25 48\n",
      " 60 15 37 90 88 86 50 49  2 54 71 56 22 18 53  0 10 47  6 12  8 93 51 89\n",
      " 35 41 94 36 91 28 43 66 39  1 62 82 55 97 87 78 19 40 74 21 31 85 68 69\n",
      " 11 46 96 67]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [16 70 14 17 77 57 30 29  3 34 27 79 32 33 83 72 63 65 76 73 52 95 61 26\n",
      " 44 20 98 13  5 81 38  7 42 99 23 45  4 75 59  9 58 80 84 64 24 92 25 48\n",
      " 60 15 37 90 88 86 50 49  2 54 71 56 22 18 53  0 10 47  6 12  8 93 51 89\n",
      " 35 41 94 36 91 28 43 66 39  1 62 82 55 97 87 78 19 40 74 21 31 85 68 69\n",
      " 11 46 96 67]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (540, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 1\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7001\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420001\n",
      "Setting seed 1\n",
      "Setting seed 1001\n",
      "Setting seed 2001\n",
      "Setting seed 3001\n",
      "Setting seed 4001\n",
      "Setting seed 5001\n",
      "Setting seed 6001\n",
      "Setting seed 7001\n",
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 2, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [72 45 38 48 97 37  0 73 36 20 51 58 61 21 95 64 25 43 53 23 39 91 24 57\n",
      "  9 15 33 11 88 62 59 77 18 12 19 32  6  5 87 63 60  1 42 81  2 79 41 31\n",
      "  4  7 30 68 22 76 16 65 28 69 47 71 49 54 29 55 80 14 34 74 94 85 98 84\n",
      " 89 44  3 75 96 46 10 13 50 56 40 83 17 67 99 35 86  8 52 90 70 66 27 82\n",
      " 26 93 92 78]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (465, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [72 45 38 48 97 37  0 73 36 20 51 58 61 21 95 64 25 43 53 23 39 91 24 57\n",
      "  9 15 33 11 88 62 59 77 18 12 19 32  6  5 87 63 60  1 42 81  2 79 41 31\n",
      "  4  7 30 68 22 76 16 65 28 69 47 71 49 54 29 55 80 14 34 74 94 85 98 84\n",
      " 89 44  3 75 96 46 10 13 50 56 40 83 17 67 99 35 86  8 52 90 70 66 27 82\n",
      " 26 93 92 78]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [90  0 72 54 87 26 45 56 98 63  7  9 95 36 52 73 30  3  6 16 49 24 34 35\n",
      " 59 46 51 71 23 74 21 86 70 25 37 40 10 22 44 18 19 29 32 93 77 11 69 66\n",
      " 88  2 76 99 17 75 68 14 47 97  5 31 80 60 57 65 67 38 81 85  8 39 79 64\n",
      " 62 61 89  4 13 12 84 42 15 48 20 27 41 43 28 96 50 91 53 94 33 55 82 83\n",
      "  1 58 78 92]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (531, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [90  0 72 54 87 26 45 56 98 63  7  9 95 36 52 73 30  3  6 16 49 24 34 35\n",
      " 59 46 51 71 23 74 21 86 70 25 37 40 10 22 44 18 19 29 32 93 77 11 69 66\n",
      " 88  2 76 99 17 75 68 14 47 97  5 31 80 60 57 65 67 38 81 85  8 39 79 64\n",
      " 62 61 89  4 13 12 84 42 15 48 20 27 41 43 28 96 50 91 53 94 33 55 82 83\n",
      "  1 58 78 92]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (461, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (531, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [32 45 93 34 69 92 84 55  5 18 61 89 74 81 87 41 52 53 22 75 10 36 96 16\n",
      " 15 58  2 40 83  4 60  1 73 91 39 90 54 66 71 42 99 14 67 23 79 37 85 38\n",
      " 33 29 63 35  0  8 68 17 62 31 76  6 24 65 27 77 28 72 78 30  7 94 48 59\n",
      "  9 82  3 86 12 50 97 70 26 47 51 20 44 88 25 95 49 21 80 98 56 64 43 13\n",
      " 57 19 11 46]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (449, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [32 45 93 34 69 92 84 55  5 18 61 89 74 81 87 41 52 53 22 75 10 36 96 16\n",
      " 15 58  2 40 83  4 60  1 73 91 39 90 54 66 71 42 99 14 67 23 79 37 85 38\n",
      " 33 29 63 35  0  8 68 17 62 31 76  6 24 65 27 77 28 72 78 30  7 94 48 59\n",
      "  9 82  3 86 12 50 97 70 26 47 51 20 44 88 25 95 49 21 80 98 56 64 43 13\n",
      " 57 19 11 46]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (545, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (458, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [79 12 44 60 49 68 84 33 18 39 16 36 10 83 69 65 63 85 71 93 37 76 55 59\n",
      "  2 21 42 81 41 74 98 31  1 52 91 64 43 51  5 22 34 15 61 94 54 50 89 72\n",
      " 13 75 67  6 88 11  8 87 58 53 82 92 80 90 78 26  9 40 97 73 48  7 77 35\n",
      " 23 57 14 32 46 24 19 38 27 96 20 47  3 25  4 56 29 62  0 45 99 28 66 17\n",
      " 86 95 70 30]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (540, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (546, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (531, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [79 12 44 60 49 68 84 33 18 39 16 36 10 83 69 65 63 85 71 93 37 76 55 59\n",
      "  2 21 42 81 41 74 98 31  1 52 91 64 43 51  5 22 34 15 61 94 54 50 89 72\n",
      " 13 75 67  6 88 11  8 87 58 53 82 92 80 90 78 26  9 40 97 73 48  7 77 35\n",
      " 23 57 14 32 46 24 19 38 27 96 20 47  3 25  4 56 29 62  0 45 99 28 66 17\n",
      " 86 95 70 30]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [38 48 52 84 26 14 96  8 83 12 33 63 89 87 78 66 28  0  1 22 95 30  6 71\n",
      " 42 13 79 62 10 80 50  2 47 73 40 41 43 18 19 68 67 91  4 23 32 55 57 64\n",
      " 82 54 74 53 39 31 97 88 58 46 16 27 37 20 59  9 92  7 99 90 11 93 34 17\n",
      " 77  5 65 45 44 60 29 49 86 35 21 81 56 51 85  3 76 75 69 72 61 15 24 25\n",
      " 94 98 36 70]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (462, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [38 48 52 84 26 14 96  8 83 12 33 63 89 87 78 66 28  0  1 22 95 30  6 71\n",
      " 42 13 79 62 10 80 50  2 47 73 40 41 43 18 19 68 67 91  4 23 32 55 57 64\n",
      " 82 54 74 53 39 31 97 88 58 46 16 27 37 20 59  9 92  7 99 90 11 93 34 17\n",
      " 77  5 65 45 44 60 29 49 86 35 21 81 56 51 85  3 76 75 69 72 61 15 24 25\n",
      " 94 98 36 70]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (461, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [68 10 70 13 93 42 26 61 16 80  1 38 67 86 90 54 28 25 31 97 46 19 65 15\n",
      " 75 55 71 92 98 27 52 72 51 33 73 47 34 35 43 32 84 77 37  3 49 11  7 17\n",
      " 85 23 21 40 57 44 62 94 20 66 58  9 59 48 29 81 45 83  4 91 76 18 79  0\n",
      " 82 14 41 24 88 89 60 99 69 53  6 12 22 64 74 30 96 63 50 39 95 87  8 56\n",
      " 78 36  5  2]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [68 10 70 13 93 42 26 61 16 80  1 38 67 86 90 54 28 25 31 97 46 19 65 15\n",
      " 75 55 71 92 98 27 52 72 51 33 73 47 34 35 43 32 84 77 37  3 49 11  7 17\n",
      " 85 23 21 40 57 44 62 94 20 66 58  9 59 48 29 81 45 83  4 91 76 18 79  0\n",
      " 82 14 41 24 88 89 60 99 69 53  6 12 22 64 74 30 96 63 50 39 95 87  8 56\n",
      " 78 36  5  2]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [92 61 95 22 25 20  3 13 71 48 59 42 85  6 12 90 65 49  5 41 52 64 83 43\n",
      " 77  2 70 81 40 19 55 53 37 86 50 29 24 21 47 96 38  0 67 94 18 54 79 14\n",
      " 51 73 62  9 45 76 10 82 91 34  4 63 74 97 28 56 98 35 72 30 84 46 93 75\n",
      " 33 36  7  1 17 15 99 39 60 78 31 87 11 69 68 44 26 16 66 27 80 57 58 32\n",
      " 23  8 89 88]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [92 61 95 22 25 20  3 13 71 48 59 42 85  6 12 90 65 49  5 41 52 64 83 43\n",
      " 77  2 70 81 40 19 55 53 37 86 50 29 24 21 47 96 38  0 67 94 18 54 79 14\n",
      " 51 73 62  9 45 76 10 82 91 34  4 63 74 97 28 56 98 35 72 30 84 46 93 75\n",
      " 33 36  7  1 17 15 99 39 60 78 31 87 11 69 68 44 26 16 66 27 80 57 58 32\n",
      " 23  8 89 88]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (459, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (536, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [90 52 66  6  8 35 63 30 29 25 91  1 39 76 14 67 12 85 80 48  9 11 61 69\n",
      " 75 64 74 83 96 50 99 59 54 45 23 47 72 10 15 56 46 36 62 93 89 79 81 32\n",
      " 77 88 60 37  2 73 21 71 18 97 40 68 86 42 87 95 38 55 19 57 98 49  3 27\n",
      " 26 34  4 53  7 70 24 13 20 16 33  5 82 41 17 43 84 31 65 94 51 28 44  0\n",
      " 78 58 92 22]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (461, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (544, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [90 52 66  6  8 35 63 30 29 25 91  1 39 76 14 67 12 85 80 48  9 11 61 69\n",
      " 75 64 74 83 96 50 99 59 54 45 23 47 72 10 15 56 46 36 62 93 89 79 81 32\n",
      " 77 88 60 37  2 73 21 71 18 97 40 68 86 42 87 95 38 55 19 57 98 49  3 27\n",
      " 26 34  4 53  7 70 24 13 20 16 33  5 82 41 17 43 84 31 65 94 51 28 44  0\n",
      " 78 58 92 22]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (450, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [77 14 15 61 40 29  6  8 86 73 47 17 35 42 65 51 26 49 87  2 78  0 71 89\n",
      "  9 85 57 20 96 79 84 46 91 28 68 88 45  1 60 31 72 75 21 25 97 56 18 99\n",
      " 66 53 43 44 82 52  4 74 63 38 39 58 54  3 76 10 19 70 41 11 24 16 64  7\n",
      " 34 23 81 27 98 94 32 33 59 13 69 83 12 62 90 93 30 95 22 67 36 80  5 50\n",
      " 92 55 37 48]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (548, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [77 14 15 61 40 29  6  8 86 73 47 17 35 42 65 51 26 49 87  2 78  0 71 89\n",
      "  9 85 57 20 96 79 84 46 91 28 68 88 45  1 60 31 72 75 21 25 97 56 18 99\n",
      " 66 53 43 44 82 52  4 74 63 38 39 58 54  3 76 10 19 70 41 11 24 16 64  7\n",
      " 34 23 81 27 98 94 32 33 59 13 69 83 12 62 90 93 30 95 22 67 36 80  5 50\n",
      " 92 55 37 48]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (551, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 2\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7002\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420002\n",
      "Setting seed 2\n",
      "Setting seed 1002\n",
      "Setting seed 2002\n",
      "Setting seed 3002\n",
      "Setting seed 4002\n",
      "Setting seed 5002\n",
      "Setting seed 6002\n",
      "Setting seed 7002\n",
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 3, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [21 62 58  5 71 11 42 15 53 36 30 99 75 48 82 93 40 38  1 91 41  3 16 64\n",
      " 61 14 90 28 35 88 95 80  4 10  9 85 45 66  0 17 27 67 12 37 50 18 86 39\n",
      " 54 68 22 43 46 69 31 19 52 76 59  6 25 73 72 32 24 60  2 96 84 98 97 56\n",
      " 81 49 63 83 74 65 77 55 51 92 26 23 44 87  8 20 89 13 29 70 33 47 78 57\n",
      " 79 94 34  7]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (460, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [21 62 58  5 71 11 42 15 53 36 30 99 75 48 82 93 40 38  1 91 41  3 16 64\n",
      " 61 14 90 28 35 88 95 80  4 10  9 85 45 66  0 17 27 67 12 37 50 18 86 39\n",
      " 54 68 22 43 46 69 31 19 52 76 59  6 25 73 72 32 24 60  2 96 84 98 97 56\n",
      " 81 49 63 83 74 65 77 55 51 92 26 23 44 87  8 20 89 13 29 70 33 47 78 57\n",
      " 79 94 34  7]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [41 42 21 46 76 39 57 84 65 75  0 11  1 94 83  9  3 64 89 34 95 38 93 27\n",
      "  8 92 22 52 91 61 23 48 30 80 60 79 13 69 37 72 33 51  7 68 25 12 58 36\n",
      " 85 40  5 82 32  4 20 16 62 90 86 74 63 71  6  2 28 15 81 35 66 50 73 70\n",
      " 97 45 53 78 49 99 26 77 55 88 43 98 10 87 67 24 44 19 14 18 17 54 59 31\n",
      " 47 56 96 29]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [41 42 21 46 76 39 57 84 65 75  0 11  1 94 83  9  3 64 89 34 95 38 93 27\n",
      "  8 92 22 52 91 61 23 48 30 80 60 79 13 69 37 72 33 51  7 68 25 12 58 36\n",
      " 85 40  5 82 32  4 20 16 62 90 86 74 63 71  6  2 28 15 81 35 66 50 73 70\n",
      " 97 45 53 78 49 99 26 77 55 88 43 98 10 87 67 24 44 19 14 18 17 54 59 31\n",
      " 47 56 96 29]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (553, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [86 40  6 87 33 69 16 50 66 54 20 62  2 93 64 46 65  5 39 58 77 15 85 18\n",
      " 31 48 97  1 73 67 51 96 36 21 52 43 60 14  9 98 75 41 63 89 72 34 26 88\n",
      " 84 38 13 10 22 32 92 76 99 29 70  3  4 24 56 55 83 19 68 47 57 25 30  0\n",
      " 28 37 95 27 23 53 80 45 74 79 12 81 82 35 11 78 49 71 61 90 94  7 44 42\n",
      " 17 59  8 91]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [86 40  6 87 33 69 16 50 66 54 20 62  2 93 64 46 65  5 39 58 77 15 85 18\n",
      " 31 48 97  1 73 67 51 96 36 21 52 43 60 14  9 98 75 41 63 89 72 34 26 88\n",
      " 84 38 13 10 22 32 92 76 99 29 70  3  4 24 56 55 83 19 68 47 57 25 30  0\n",
      " 28 37 95 27 23 53 80 45 74 79 12 81 82 35 11 78 49 71 61 90 94  7 44 42\n",
      " 17 59  8 91]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [85 51 44 99 16 21 52 42 43 35 91 23 89 46 59 33 58 94  5 86  8 10 39 74\n",
      " 28  7  3 45  2  1 53 64 54 56 41 71 92 25 20  6 17 90 60 61 79 47 95 29\n",
      " 37 80 96 27 66 24 34 87 81 63  4 83 49 31 68 76 30 69 55 84 73 13 50 14\n",
      " 19 26 97 15  0 78 38 77 88 48 72 18 32 82 98  9 57 11 70 40 75 67 62 22\n",
      " 93 65 36 12]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [85 51 44 99 16 21 52 42 43 35 91 23 89 46 59 33 58 94  5 86  8 10 39 74\n",
      " 28  7  3 45  2  1 53 64 54 56 41 71 92 25 20  6 17 90 60 61 79 47 95 29\n",
      " 37 80 96 27 66 24 34 87 81 63  4 83 49 31 68 76 30 69 55 84 73 13 50 14\n",
      " 19 26 97 15  0 78 38 77 88 48 72 18 32 82 98  9 57 11 70 40 75 67 62 22\n",
      " 93 65 36 12]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [29 69 65 71 94 91 92 55 44 32 28 35 22 47  2 79 63 74 57  7 39 25 31 19\n",
      " 15 30 66 14  0 10  3 50 12 34 93 54 78 87 70 23 90 11  4 73 46 89 36  9\n",
      "  1 84  5 27 20 95 52 86 85 42 17 77 64 33 48 38 43 41 49 18 40 83 76 98\n",
      " 96 51 56 45 75 99 67 60 59 21 58  8 62 97 82 24 26 80 88 13 72 16 81  6\n",
      " 68 37 53 61]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (541, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (534, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [29 69 65 71 94 91 92 55 44 32 28 35 22 47  2 79 63 74 57  7 39 25 31 19\n",
      " 15 30 66 14  0 10  3 50 12 34 93 54 78 87 70 23 90 11  4 73 46 89 36  9\n",
      "  1 84  5 27 20 95 52 86 85 42 17 77 64 33 48 38 43 41 49 18 40 83 76 98\n",
      " 96 51 56 45 75 99 67 60 59 21 58  8 62 97 82 24 26 80 88 13 72 16 81  6\n",
      " 68 37 53 61]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (533, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [21 27 59 90 47 51 60 56 98 15 41 24 43 70 68 20 79 16 38 26 86 69 93 40\n",
      " 58 82 97 87 28 83 71  7 35 64  4 85 81 77  8 54 74  5 29  0 66 53 12 49\n",
      " 10 99 50  3 89 80 95 55 96  6 48 75 18 57 32 92 62 11 94  1 44 88 61 78\n",
      " 14 37 13 46 63 30 45 67 52 22 65 25  2 33 34 31 72 42  9 39 76 84 17 73\n",
      " 19 91 36 23]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (462, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [21 27 59 90 47 51 60 56 98 15 41 24 43 70 68 20 79 16 38 26 86 69 93 40\n",
      " 58 82 97 87 28 83 71  7 35 64  4 85 81 77  8 54 74  5 29  0 66 53 12 49\n",
      " 10 99 50  3 89 80 95 55 96  6 48 75 18 57 32 92 62 11 94  1 44 88 61 78\n",
      " 14 37 13 46 63 30 45 67 52 22 65 25  2 33 34 31 72 42  9 39 76 84 17 73\n",
      " 19 91 36 23]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (540, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (543, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (538, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [37 42 93 65 96 98 97 24 74  8 82 39 94 81 27 48 14 47 92 88 18 19 78 11\n",
      "  6 30 85 70 95 28 22 54 56 67 90 12 66 38  4 31 13  2 16 52 45 43 63 34\n",
      " 76 75 51 89 57 91 49 40 60 25 86 17  7 33 80 68 83 50 79 64 36 32 73 44\n",
      "  9 55 77 35 23 72 15 59 26  5 46  3 41 61 87 99 69  1 29 58 53 62  0 84\n",
      " 21 10 71 20]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (540, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [37 42 93 65 96 98 97 24 74  8 82 39 94 81 27 48 14 47 92 88 18 19 78 11\n",
      "  6 30 85 70 95 28 22 54 56 67 90 12 66 38  4 31 13  2 16 52 45 43 63 34\n",
      " 76 75 51 89 57 91 49 40 60 25 86 17  7 33 80 68 83 50 79 64 36 32 73 44\n",
      "  9 55 77 35 23 72 15 59 26  5 46  3 41 61 87 99 69  1 29 58 53 62  0 84\n",
      " 21 10 71 20]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (539, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [11  0 95 49 88 87 16 63  9 70 92 45 64 46 12  6 56 94 28 68 43 47 85 48\n",
      " 32 21 52 27 17 83 54 65 10 74 80 67  8  3 24 22 84 72 91 30 51 61 53 20\n",
      " 79 41 29 34 93  1 57 59 31 36 66 18 19 77 96 37 15 38 82 39 71 69 89  7\n",
      " 81 50 62 42 25 40 60 55  5 26  4 90 58 35 33 97 75 73 99 44 86 76 23  2\n",
      " 98 14 13 78]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [11  0 95 49 88 87 16 63  9 70 92 45 64 46 12  6 56 94 28 68 43 47 85 48\n",
      " 32 21 52 27 17 83 54 65 10 74 80 67  8  3 24 22 84 72 91 30 51 61 53 20\n",
      " 79 41 29 34 93  1 57 59 31 36 66 18 19 77 96 37 15 38 82 39 71 69 89  7\n",
      " 81 50 62 42 25 40 60 55  5 26  4 90 58 35 33 97 75 73 99 44 86 76 23  2\n",
      " 98 14 13 78]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [87 60 21 11 45 77 57  4 39 93 75 62 84 72 26  5 53  1 68 49 19 94 43 15\n",
      " 29  2 56 16 22 91  0 97 65 12 30 59 96 95 44 80 32 47  8 61 34 42 31 92\n",
      " 27 18 33 24 83 90 76 25 82 74 13 85 63 73 37 35 48 10 66  7 51 23 52 89\n",
      " 79 54  9  6 17 58 28 67 46 86 14 98 69 40 71 20 78 36 81 38 99 41  3 70\n",
      " 64 50 55 88]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [87 60 21 11 45 77 57  4 39 93 75 62 84 72 26  5 53  1 68 49 19 94 43 15\n",
      " 29  2 56 16 22 91  0 97 65 12 30 59 96 95 44 80 32 47  8 61 34 42 31 92\n",
      " 27 18 33 24 83 90 76 25 82 74 13 85 63 73 37 35 48 10 66  7 51 23 52 89\n",
      " 79 54  9  6 17 58 28 67 46 86 14 98 69 40 71 20 78 36 81 38 99 41  3 70\n",
      " 64 50 55 88]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 3\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7003\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420003\n",
      "Setting seed 3\n",
      "Setting seed 1003\n",
      "Setting seed 2003\n",
      "Setting seed 3003\n",
      "Setting seed 4003\n",
      "Setting seed 5003\n",
      "Setting seed 6003\n",
      "Setting seed 7003\n",
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 4, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [71 35 24 49 45 96 69 94 20 78 10 44 40 37 58 86 82  5 92 81 12 88 52 97\n",
      " 21  2 57 70 77 19 53  8 72 34 99 61 39 98 91  6 68  0 22 89 11 47 50 54\n",
      " 80 28 42 36 13 48 27 38 66 17  9 46  3 85 83 51 95 41 63 67 65 60  4 76\n",
      " 23 25 29  1 14 87 74 31 30 90 84 62 33 64 56 55  7 43 15 73 18 32 16 79\n",
      " 26 59 75 93]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (452, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [71 35 24 49 45 96 69 94 20 78 10 44 40 37 58 86 82  5 92 81 12 88 52 97\n",
      " 21  2 57 70 77 19 53  8 72 34 99 61 39 98 91  6 68  0 22 89 11 47 50 54\n",
      " 80 28 42 36 13 48 27 38 66 17  9 46  3 85 83 51 95 41 63 67 65 60  4 76\n",
      " 23 25 29  1 14 87 74 31 30 90 84 62 33 64 56 55  7 43 15 73 18 32 16 79\n",
      " 26 59 75 93]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [65 85 42 56 37 38 50 62 70  3 14 76 90 35 46 83 16 88 94 82 34 27 98  9\n",
      " 26 84 69 59 31 79 45 75 77 40 68 60  7 87 97 19 58 28  0 41 10 32 51 72\n",
      " 71 96 91 86 52 20 18 99 39 81 55 92 43 13 36 63  5 12 74 25  8 93 49 24\n",
      " 95  1  6 22 80 30 73 64 54 57 61 53 29 47 44 23 21 11  2 17 15  4 89 33\n",
      " 66 67 78 48]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (531, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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      " 71 96 91 86 52 20 18 99 39 81 55 92 43 13 36 63  5 12 74 25  8 93 49 24\n",
      " 95  1  6 22 80 30 73 64 54 57 61 53 29 47 44 23 21 11  2 17 15  4 89 33\n",
      " 66 67 78 48]\n"
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      "INFO:root:task 11 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (452, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [23 81 18 78 21 30 69 66 17 26 79  6 46 92 19 85 10 95 80 49 99 64 16 76\n",
      " 22 48 25 93 53 37 24 97 61 44 87 90  2 12 55 82 51 59 88 42 96 89 40 63\n",
      " 71 15 36 68  7 32 54  4 41 73  1 38 34 83  8 62 47 20 39 52 86  9 29 27\n",
      " 11 84 74 57 94 56 13 60 72 14 65 91  0 77 75 43 70  3 45 28 98 58 35 50\n",
      " 67 33  5 31]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (465, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n"
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     "text": [
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      " 71 15 36 68  7 32 54  4 41 73  1 38 34 83  8 62 47 20 39 52 86  9 29 27\n",
      " 11 84 74 57 94 56 13 60 72 14 65 91  0 77 75 43 70  3 45 28 98 58 35 50\n",
      " 67 33  5 31]\n"
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      "INFO:root:task 11 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (462, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [82 13 49 50 86 72 73 61 39 70 16  6 35 31 12 81 11 17 25  8 28 65 26 30\n",
      " 36 19 40 63  5 97 34 21 74 57 10 89 68 78 56 60 93 92 87 51  1 96 20 62\n",
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      " 24 54 42 22  2  0 77 79 94 75 55 33 88 38 32 58 99 37 45 91 84 29 64 90\n",
      " 71 14 41 98]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n"
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      " 76 95 80 52 69 18  3 47  4 46 83 44  9 67 43 53 15 23 66  7 27 48 85 59\n",
      " 24 54 42 22  2  0 77 79 94 75 55 33 88 38 32 58 99 37 45 91 84 29 64 90\n",
      " 71 14 41 98]\n"
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      "INFO:root:task 11 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [92 57 48 44 66 89 26 54 24 38 40 80 20 77 94 16 58  1 25 83 70 39 59 34\n",
      " 64 32 10 47 37 51 67 15 86 78 95 76 33  9 46  6 72 63 71 61 82 14 68 56\n",
      " 18 43 52 41 42  3 85 53 55 28 65 90 98 35 50 88 84 75  8 11 31 93 91 69\n",
      " 36 79  2 97 74  7 27 30  4 60 62 13 81 17 49 29 21  5  0 99 22 73 45 12\n",
      " 87 19 23 96]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n"
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      " 64 32 10 47 37 51 67 15 86 78 95 76 33  9 46  6 72 63 71 61 82 14 68 56\n",
      " 18 43 52 41 42  3 85 53 55 28 65 90 98 35 50 88 84 75  8 11 31 93 91 69\n",
      " 36 79  2 97 74  7 27 30  4 60 62 13 81 17 49 29 21  5  0 99 22 73 45 12\n",
      " 87 19 23 96]\n"
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      "INFO:root:task 10 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [49 74 87 20  4 40 90 38 28 62 19 89 25 65 17 91 14 36 97 83 42 68 71 16\n",
      "  6 44 37 63 66 92 54 95 45 22 15 77 24 53 56 67 69 11 29 70 13  8 59 47\n",
      " 52 26 94 30 57 39 75 88  1 32 31 12  9  7 21 86 10 96 82  2 50 85 72 27\n",
      " 48 84 73 93  0 34 99 33 35 98 23 81 43 46 60 78 58  5 41 76 51 61 64  3\n",
      " 80 18 79 55]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (545, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n"
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      "  6 44 37 63 66 92 54 95 45 22 15 77 24 53 56 67 69 11 29 70 13  8 59 47\n",
      " 52 26 94 30 57 39 75 88  1 32 31 12  9  7 21 86 10 96 82  2 50 85 72 27\n",
      " 48 84 73 93  0 34 99 33 35 98 23 81 43 46 60 78 58  5 41 76 51 61 64  3\n",
      " 80 18 79 55]\n"
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      "INFO:root:task 10 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [50 27 88 73 14 24 12  0 51  4 30 28 89 96 32  8 10 75 17 99 58 69 18 16\n",
      " 38 11 22 80 43 83  1  3  6 46 68 15 25 19 87 85 97 33 53  9 60 98 56 36\n",
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      " 48 57 78 71 94 90 84 29 79 54 91 31 45  5 20 35 26 41 65 34 63 82 70 44\n",
      " 64 40 67 47]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n"
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      " 48 57 78 71 94 90 84 29 79 54 91 31 45  5 20 35 26 41 65 34 63 82 70 44\n",
      " 64 40 67 47]\n"
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      "INFO:root:task 11 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 1 29 14 20 98 40 90 21 35  9 57 73 67 10 52 74 58 89  8  5 63 19 13 80\n",
      " 51 39 49 18 66 65 85  0 50 33 27 36 34 96 92  7 23 12 54 82  6 26 99  4\n",
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      " 55 59 94 41 31 71 56 47 16 61 44 77 68 15 53  3 43 69 78 75 42 79 76 64\n",
      " 86 24 38 45]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (465, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n"
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     "text": [
      "labels: [ 1 29 14 20 98 40 90 21 35  9 57 73 67 10 52 74 58 89  8  5 63 19 13 80\n",
      " 51 39 49 18 66 65 85  0 50 33 27 36 34 96 92  7 23 12 54 82  6 26 99  4\n",
      " 83 88 37 28  2 95 87 91 48 17 72 32 62 84 60 97 30 81 46 93 25 22 70 11\n",
      " 55 59 94 41 31 71 56 47 16 61 44 77 68 15 53  3 43 69 78 75 42 79 76 64\n",
      " 86 24 38 45]\n"
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     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
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     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [26 54 45  0  1 88 85 51 97 87 37 58 65 28 64  3  9 69 10 55 57 12 63 60\n",
      " 70 94 25 13 23 11 72 52 49 66 48 14 79 40 90  4 38 61 19 22 35 50 32 29\n",
      " 73 93  7 21 68 77  5 27 71 74  8 30 75 44 56 99 47 78 89 41 36 43  2 46\n",
      "  6 92 76 39 34 15 86 53 59 24 20 91 42 16 80 98 81 96 18 83 31 62 67 33\n",
      " 17 95 82 84]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [26 54 45  0  1 88 85 51 97 87 37 58 65 28 64  3  9 69 10 55 57 12 63 60\n",
      " 70 94 25 13 23 11 72 52 49 66 48 14 79 40 90  4 38 61 19 22 35 50 32 29\n",
      " 73 93  7 21 68 77  5 27 71 74  8 30 75 44 56 99 47 78 89 41 36 43  2 46\n",
      "  6 92 76 39 34 15 86 53 59 24 20 91 42 16 80 98 81 96 18 83 31 62 67 33\n",
      " 17 95 82 84]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 4\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7004\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420004\n",
      "Setting seed 4\n",
      "Setting seed 1004\n",
      "Setting seed 2004\n",
      "Setting seed 3004\n",
      "Setting seed 4004\n",
      "Setting seed 5004\n",
      "Setting seed 6004\n",
      "Setting seed 7004\n",
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 5, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [91 41 59 38 93 50 20 97 60 18 40 29 86  8 35 55 54 47 25 98 23 95 46 52\n",
      " 21 65 76 77 32 43 36 37 56 92 64 80 33 34 17 49 44 30 13  3 16 12 96 69\n",
      " 90  1 83 51 57 67 74 48 31 87 62 14 82 72 89 39  2 10 61 88 99 24 27 68\n",
      " 45 26 71 58 66 15 75  0 81  4 11 78  9 84 28 70 79 22 53 42  7 63 19 94\n",
      " 73  6  5 85]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [91 41 59 38 93 50 20 97 60 18 40 29 86  8 35 55 54 47 25 98 23 95 46 52\n",
      " 21 65 76 77 32 43 36 37 56 92 64 80 33 34 17 49 44 30 13  3 16 12 96 69\n",
      " 90  1 83 51 57 67 74 48 31 87 62 14 82 72 89 39  2 10 61 88 99 24 27 68\n",
      " 45 26 71 58 66 15 75  0 81  4 11 78  9 84 28 70 79 22 53 42  7 63 19 94\n",
      " 73  6  5 85]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [91 50 27 13 76 40 86 46 51  2 37 20 90 15 23  4 24 54 22 97 36 60 16 61\n",
      " 74 57 77 82 33 32 79 30 85 26 43 98 55 62 89 63 94 58 41 68 81 52 95 72\n",
      " 64 25 17 59  0 75  9 71 88  7 99 73  8 84 21  1  6 28 56 14 65 70 45 49\n",
      " 96 93 53 42 10 83 12 47 66 34 48 19 87 78 29 44  5 31 39 35 11 92  3 18\n",
      " 69 38 80 67]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [91 50 27 13 76 40 86 46 51  2 37 20 90 15 23  4 24 54 22 97 36 60 16 61\n",
      " 74 57 77 82 33 32 79 30 85 26 43 98 55 62 89 63 94 58 41 68 81 52 95 72\n",
      " 64 25 17 59  0 75  9 71 88  7 99 73  8 84 21  1  6 28 56 14 65 70 45 49\n",
      " 96 93 53 42 10 83 12 47 66 34 48 19 87 78 29 44  5 31 39 35 11 92  3 18\n",
      " 69 38 80 67]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [36 48 25 43 96 29 47 40 59 87 95 27 64 52 77  1  2 54  3 12 32 51 85 21\n",
      "  8 34 58 53  7 35  9 26 14 18 90 70 28 81 78 65  5  4 75 80 22 50 46 16\n",
      " 97 62 24 86 73 17 44 72 82 11 94  0 56 41 67 98 55 19 84 33 38 42 57 68\n",
      " 23 76 31 83 99 88 45 92 39 93 74 10 91 61 69 66 71 79 63 20 49 30 15  6\n",
      " 13 89 60 37]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [36 48 25 43 96 29 47 40 59 87 95 27 64 52 77  1  2 54  3 12 32 51 85 21\n",
      "  8 34 58 53  7 35  9 26 14 18 90 70 28 81 78 65  5  4 75 80 22 50 46 16\n",
      " 97 62 24 86 73 17 44 72 82 11 94  0 56 41 67 98 55 19 84 33 38 42 57 68\n",
      " 23 76 31 83 99 88 45 92 39 93 74 10 91 61 69 66 71 79 63 20 49 30 15  6\n",
      " 13 89 60 37]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [83 53  6 51 20 68 47 74 81 60 57 61 80 23 97 32 90 24 95 35  7 50 28 84\n",
      " 38 40  1 21 56 66 73 96 72 85 30 41 19 86 13 31  4 62 98 37 79 17 29 69\n",
      " 59 22 46 87  3  2 49 54 11 14 78  8 48 18 82 16 15 42 64 34 89 44 45 94\n",
      " 39 65  9 27 71 91 55 99 43 52 77 76 36 63 10 33 25 67 70  5 75 93 92 26\n",
      " 12 58  0 88]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [83 53  6 51 20 68 47 74 81 60 57 61 80 23 97 32 90 24 95 35  7 50 28 84\n",
      " 38 40  1 21 56 66 73 96 72 85 30 41 19 86 13 31  4 62 98 37 79 17 29 69\n",
      " 59 22 46 87  3  2 49 54 11 14 78  8 48 18 82 16 15 42 64 34 89 44 45 94\n",
      " 39 65  9 27 71 91 55 99 43 52 77 76 36 63 10 33 25 67 70  5 75 93 92 26\n",
      " 12 58  0 88]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (544, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [24 62 26 13 34 43 58  0 55 57 25 82 17 27 22 63 28 61 59 19 69 77 96 21\n",
      " 30 31 15  3 74 60 76 11 88 92 54 79 39 45 33 42 83  7 99 32 66 93 49 47\n",
      " 44 97  9 65 71 73 20 90 91 95 50 48 12 80  8 72 23 70 78 64 85 40 89  5\n",
      " 46 68 84 75 14  1 29 16 37 94 51 41 98 10 87 56 38 52 81  6 53 67  2 35\n",
      " 86 36  4 18]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [24 62 26 13 34 43 58  0 55 57 25 82 17 27 22 63 28 61 59 19 69 77 96 21\n",
      " 30 31 15  3 74 60 76 11 88 92 54 79 39 45 33 42 83  7 99 32 66 93 49 47\n",
      " 44 97  9 65 71 73 20 90 91 95 50 48 12 80  8 72 23 70 78 64 85 40 89  5\n",
      " 46 68 84 75 14  1 29 16 37 94 51 41 98 10 87 56 38 52 81  6 53 67  2 35\n",
      " 86 36  4 18]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (465, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [16 22 60 31 97 21 55 89 42 26  3 48 10  1 19 74 77 59 30 38 82 39  7 90\n",
      " 52 92 62 23 36 45 95 66  4 58 12 14 63 78 43 84 81 46 57 64  2 91 76 18\n",
      " 70 69 20  0 96 49 80  8 33 40 61 41 37 98  6 24 28 50 47  9 71 73 44 17\n",
      " 93 67 88 79 32 35 85 72 34 87 99 25 65 29 75 13 51 54 15 27 56 83 94 53\n",
      "  5 11 68 86]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (537, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [16 22 60 31 97 21 55 89 42 26  3 48 10  1 19 74 77 59 30 38 82 39  7 90\n",
      " 52 92 62 23 36 45 95 66  4 58 12 14 63 78 43 84 81 46 57 64  2 91 76 18\n",
      " 70 69 20  0 96 49 80  8 33 40 61 41 37 98  6 24 28 50 47  9 71 73 44 17\n",
      " 93 67 88 79 32 35 85 72 34 87 99 25 65 29 75 13 51 54 15 27 56 83 94 53\n",
      "  5 11 68 86]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [97 59 37  1 20 90 14 65 30 35 58  9 64 94 73 42 56 10 49 86 89 39 11 72\n",
      " 24 70 81 26 29 62 51 27 96 79 71 13 63 80 69 92  8 45 68 28 41 76 60  2\n",
      " 55 75 93 17 98 21  5 83 91 18 25 82 43  3 85 38 32 12 84 77 31 36 48  7\n",
      " 22 15 78 16 33 50 19 61 46 52 66  0 88 95 99  4 47 67 87 34 23 74 40 54\n",
      " 44 53  6 57]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [97 59 37  1 20 90 14 65 30 35 58  9 64 94 73 42 56 10 49 86 89 39 11 72\n",
      " 24 70 81 26 29 62 51 27 96 79 71 13 63 80 69 92  8 45 68 28 41 76 60  2\n",
      " 55 75 93 17 98 21  5 83 91 18 25 82 43  3 85 38 32 12 84 77 31 36 48  7\n",
      " 22 15 78 16 33 50 19 61 46 52 66  0 88 95 99  4 47 67 87 34 23 74 40 54\n",
      " 44 53  6 57]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (553, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (538, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (550, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (455, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [18 76 42 80 45 90 31 29 81 20 38 72 33 54 68 62 59 22 87 71  0 58 65 79\n",
      " 48 67 15 60 40 13 27  9  4 77 96 37 69 39 35 92 66 70  6 49 63 85 56 97\n",
      " 82 98 28 30 10  2 55 88  3 95 74 43 47 89 12  1 50 84 64 23 32 78 75 44\n",
      " 36 26  7 19 53 52 91 11  5 93 83 14 41 25 86 16 21 94 46 17  8 99 57 61\n",
      " 24 73 51 34]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (553, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (454, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [18 76 42 80 45 90 31 29 81 20 38 72 33 54 68 62 59 22 87 71  0 58 65 79\n",
      " 48 67 15 60 40 13 27  9  4 77 96 37 69 39 35 92 66 70  6 49 63 85 56 97\n",
      " 82 98 28 30 10  2 55 88  3 95 74 43 47 89 12  1 50 84 64 23 32 78 75 44\n",
      " 36 26  7 19 53 52 91 11  5 93 83 14 41 25 86 16 21 94 46 17  8 99 57 61\n",
      " 24 73 51 34]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (549, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [40 56  8 77 16 17 81 32 85 29 51 55 95 90 78 44 36 21 53 92 10 69 31 24\n",
      " 42 87 65 23 48 22 11 18 28 71 80 59 62  5 82  0 33 86 38 72 67  6 54 39\n",
      " 61 96 45 49 20 15 37 47 97 50 99 13 52 88 34 66 26 60 41  9  7 12 73 58\n",
      " 84 70 75 57 46 64 30 91 98 94 68  3 27 79 83 19 74 25 35 14 63 43  4  1\n",
      "  2 76 93 89]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (548, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (455, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (464, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [40 56  8 77 16 17 81 32 85 29 51 55 95 90 78 44 36 21 53 92 10 69 31 24\n",
      " 42 87 65 23 48 22 11 18 28 71 80 59 62  5 82  0 33 86 38 72 67  6 54 39\n",
      " 61 96 45 49 20 15 37 47 97 50 99 13 52 88 34 66 26 60 41  9  7 12 73 58\n",
      " 84 70 75 57 46 64 30 91 98 94 68  3 27 79 83 19 74 25 35 14 63 43  4  1\n",
      "  2 76 93 89]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (534, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (555, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 5\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7005\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420005\n",
      "Setting seed 5\n",
      "Setting seed 1005\n",
      "Setting seed 2005\n",
      "Setting seed 3005\n",
      "Setting seed 4005\n",
      "Setting seed 5005\n",
      "Setting seed 6005\n",
      "Setting seed 7005\n",
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 6, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 6\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [56 84 86 72 54 39 95 98 25  0 65  2 60 74 58 94 17 71 77 45 26 83 24 63\n",
      " 46 27  1 21 50 13 92 12 80 19 90 55 34 52 96 38 64  6 59 47 16 15 42 88\n",
      " 73  9  8 93 97 35 78 89 68 99 70 66 69 23 10 14 28 33 81 57 11 82 85 18\n",
      " 53 37 32 91 36 48 62 29 31 51 22 79  5 49 41 61 75  4 40 87  7 44 30 76\n",
      "  3 43 20 67]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [56 84 86 72 54 39 95 98 25  0 65  2 60 74 58 94 17 71 77 45 26 83 24 63\n",
      " 46 27  1 21 50 13 92 12 80 19 90 55 34 52 96 38 64  6 59 47 16 15 42 88\n",
      " 73  9  8 93 97 35 78 89 68 99 70 66 69 23 10 14 28 33 81 57 11 82 85 18\n",
      " 53 37 32 91 36 48 62 29 31 51 22 79  5 49 41 61 75  4 40 87  7 44 30 76\n",
      "  3 43 20 67]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (534, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (540, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [73 58 11 80 87 39 55 46 50 95  8 91 81 32 62 76 41 68 25 74 90 14  1 82\n",
      " 47 30 16 89 88 36 44 54 83 72 13 98 18 31 93 75 70 78 63 56 24 10 26 19\n",
      "  7 38 37 33 49 29  2 23 86  3 34 96 97  4 52 22 84  6 51 57 35 85  9 27\n",
      " 40 66 15 45 67 48 99 65 60 21 53 69 12  5 59 92 28 94 20 71 77 64 43 61\n",
      " 79  0 17 42]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [73 58 11 80 87 39 55 46 50 95  8 91 81 32 62 76 41 68 25 74 90 14  1 82\n",
      " 47 30 16 89 88 36 44 54 83 72 13 98 18 31 93 75 70 78 63 56 24 10 26 19\n",
      "  7 38 37 33 49 29  2 23 86  3 34 96 97  4 52 22 84  6 51 57 35 85  9 27\n",
      " 40 66 15 45 67 48 99 65 60 21 53 69 12  5 59 92 28 94 20 71 77 64 43 61\n",
      " 79  0 17 42]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (555, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [18 23 45  7  2 54 74 79 77 37 98 22  1 39 27 43 12 87 33 34 55 66  4 65\n",
      " 62 32 14  5 52 15 57 60  6 94 48 44 67 82 17 31 19 10 93 13 83 64 21 50\n",
      " 90 47 95 58 29  3 51 20 91 59 24 36 97 86  8 63 26 61 73 70 56 68 99 38\n",
      " 30 40 35 85 84 53 11 88 78  0 49 46 28 92 25 72 96  9 16 89 80 75 81 42\n",
      " 41 71 69 76]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (534, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [18 23 45  7  2 54 74 79 77 37 98 22  1 39 27 43 12 87 33 34 55 66  4 65\n",
      " 62 32 14  5 52 15 57 60  6 94 48 44 67 82 17 31 19 10 93 13 83 64 21 50\n",
      " 90 47 95 58 29  3 51 20 91 59 24 36 97 86  8 63 26 61 73 70 56 68 99 38\n",
      " 30 40 35 85 84 53 11 88 78  0 49 46 28 92 25 72 96  9 16 89 80 75 81 42\n",
      " 41 71 69 76]\n"
     ]
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 11 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [43  6 34 91 77 22 50 14 82 76 88 87 83 78 42 41 54 94 65 51  3 45  2 89\n",
      "  8 29 21 92 31 72 95 52  9 32 56 66 19 37 49 25 74 55 68 99 73 33 30 90\n",
      " 27 64 67 57 16 61 96 20 13  0 80 86 53 12 63 23 18 17 62  4  5 26 81 70\n",
      " 79 11 97 10 93 60 46 44 71 38 15  1 58 75  7 47 85 59 48 84 35 28 39 98\n",
      " 40 24 36 69]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [43  6 34 91 77 22 50 14 82 76 88 87 83 78 42 41 54 94 65 51  3 45  2 89\n",
      "  8 29 21 92 31 72 95 52  9 32 56 66 19 37 49 25 74 55 68 99 73 33 30 90\n",
      " 27 64 67 57 16 61 96 20 13  0 80 86 53 12 63 23 18 17 62  4  5 26 81 70\n",
      " 79 11 97 10 93 60 46 44 71 38 15  1 58 75  7 47 85 59 48 84 35 28 39 98\n",
      " 40 24 36 69]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (517, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (465, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [77 96 99  2 87 90 92 27 60 38 80 79 84 64 85 10 97 29 68 45 36 98  4 24\n",
      " 41 63 73 83 61 78 93 18 54 65 44 50 26 23 86 20 67 53 15 13 17 37 76 28\n",
      " 88  1 71 69 47 11 62 12 59 40 66 55 14 21 91 30 22 39 16 43  8 52 81 70\n",
      " 51  6  5  7 33 46 89 74 72 56 58 48 31 35  0 32 34 75 42  9 49 94 95 57\n",
      " 25 19 82  3]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [77 96 99  2 87 90 92 27 60 38 80 79 84 64 85 10 97 29 68 45 36 98  4 24\n",
      " 41 63 73 83 61 78 93 18 54 65 44 50 26 23 86 20 67 53 15 13 17 37 76 28\n",
      " 88  1 71 69 47 11 62 12 59 40 66 55 14 21 91 30 22 39 16 43  8 52 81 70\n",
      " 51  6  5  7 33 46 89 74 72 56 58 48 31 35  0 32 34 75 42  9 49 94 95 57\n",
      " 25 19 82  3]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (468, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (533, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [81 97 55 53  7 40 37 98 50 32 66 30 13 77 65 92 72 43 71 87 93 49 60 36\n",
      " 75 21 73 58 70 88  5 35 61  2 15 68  3 63  4 47 22  8 69 31  0 90 45 86\n",
      " 59 74 48 54 25 89 83 20 17 62 41 33 51 64 12 99 10 57 56 79  9 23 85 76\n",
      " 18 84 28 26 82 91 39 29 44  1 67 38 94 11 16 78 46 95 34 19 42  6 24 80\n",
      " 27 52 96 14]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (552, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [81 97 55 53  7 40 37 98 50 32 66 30 13 77 65 92 72 43 71 87 93 49 60 36\n",
      " 75 21 73 58 70 88  5 35 61  2 15 68  3 63  4 47 22  8 69 31  0 90 45 86\n",
      " 59 74 48 54 25 89 83 20 17 62 41 33 51 64 12 99 10 57 56 79  9 23 85 76\n",
      " 18 84 28 26 82 91 39 29 44  1 67 38 94 11 16 78 46 95 34 19 42  6 24 80\n",
      " 27 52 96 14]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [75 72  3 14 36 39 97  9 82 35 81 43 38 57 31 32 53 84 46 51 86 42 12 74\n",
      " 24 65 47 92 98 27 28 56  1 67 89 34 50 87 95 49 71 83 60 91 73 79 55 22\n",
      " 33 41 29 99 58 11 77 25 16 85 37  8 80 76 26 10 69 64 17 52  5 23 78  7\n",
      "  0  4 45 54 61 93 66 48 30 88 68 96 90  6 13 63 94 20 70 44 21 62 19 40\n",
      " 15 18 59  2]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (512, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (464, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [75 72  3 14 36 39 97  9 82 35 81 43 38 57 31 32 53 84 46 51 86 42 12 74\n",
      " 24 65 47 92 98 27 28 56  1 67 89 34 50 87 95 49 71 83 60 91 73 79 55 22\n",
      " 33 41 29 99 58 11 77 25 16 85 37  8 80 76 26 10 69 64 17 52  5 23 78  7\n",
      "  0  4 45 54 61 93 66 48 30 88 68 96 90  6 13 63 94 20 70 44 21 62 19 40\n",
      " 15 18 59  2]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 1 39  5 73 40 81 34 68 85 58 28 91 32 93 13  8 72 94 15 77 29  6 65  9\n",
      " 86 43 55 10 56 57 47 18 11 52 71 45 48 61 36 80 19 50 54 22 31 97 41 24\n",
      " 87 46  0 92 53 84 38 60 82 59 33 95 88 83 30 69 44 64 14 26 20 90 96 89\n",
      " 67  2 25 51 99 76 66 78 74 37 79  3 12 21 70 75 27 63 17 49  7 62  4 23\n",
      " 98 42 35 16]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (531, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (466, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (554, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (497, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [ 1 39  5 73 40 81 34 68 85 58 28 91 32 93 13  8 72 94 15 77 29  6 65  9\n",
      " 86 43 55 10 56 57 47 18 11 52 71 45 48 61 36 80 19 50 54 22 31 97 41 24\n",
      " 87 46  0 92 53 84 38 60 82 59 33 95 88 83 30 69 44 64 14 26 20 90 96 89\n",
      " 67  2 25 51 99 76 66 78 74 37 79  3 12 21 70 75 27 63 17 49  7 62  4 23\n",
      " 98 42 35 16]\n"
     ]
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (475, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (500, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [34 27 83 67 43 42 65 12 38 75  8 13 15 25 22  5 79 84 45 35 92 10 70 62\n",
      " 78 80 23 11 93 57 72 81 52 87 20 96 32 77 46 86 73 44 53 66 98 71 37  4\n",
      " 17  1 21 14 47 51 64 91 48 88 69 99 85 94 33 97 30 41 56  3 19 40 74  6\n",
      " 28 49  9 36 16  0 82  7 31 63 95 68 50 58 54 55 90 76 39 26  2 61 18 24\n",
      " 60 29 59 89]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (527, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [34 27 83 67 43 42 65 12 38 75  8 13 15 25 22  5 79 84 45 35 92 10 70 62\n",
      " 78 80 23 11 93 57 72 81 52 87 20 96 32 77 46 86 73 44 53 66 98 71 37  4\n",
      " 17  1 21 14 47 51 64 91 48 88 69 99 85 94 33 97 30 41 56  3 19 40 74  6\n",
      " 28 49  9 36 16  0 82  7 31 63 95 68 50 58 54 55 90 76 39 26  2 61 18 24\n",
      " 60 29 59 89]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 10 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 12 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (462, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 6\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7006\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420006\n",
      "Setting seed 6\n",
      "Setting seed 1006\n",
      "Setting seed 2006\n",
      "Setting seed 3006\n",
      "Setting seed 4006\n",
      "Setting seed 5006\n",
      "Setting seed 6006\n",
      "Setting seed 7006\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'train': {'component_update_freq': 100, 'num_epochs': 100, 'init_component_update_freq': 100, 'init_num_epochs': 100, 'save_freq': 10}, 'dataset': {'dataset_name': 'cifar100', 'num_tasks': 20, 'num_classes_per_task': 5, 'with_replacement': False, 'num_trains_per_class': 256, 'num_vals_per_class': -1, 'remap_labels': True}, 'net': {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True}, 'sharing_strategy': {'name': 'modmod', 'num_coms_per_round': 2, 'module_selection': 'gt_most_similar', 'pre_or_post_comm': 'pre', 'opt_with_random': False, 'comm_freq': 100, 'sync_base': True, 'freeze_candidate_module': False, 'transfer_decoder': True, 'transfer_structure': True}, 'seed': 7, 'algo': 'modular', 'job_name': 'cifar100_modular_numtrain_256', 'num_agents': 8, 'root_save_dir': 'experiment_results/jorge_setting_lowest_task_id_wins_modmod_test_sync_base_True_opt_with_random_False_frozen_False_transfer_decoder_True_transfer_structure_True_no_sparse_basis_True', 'parallel': True, 'num_init_tasks': 4, 'overwrite': False, 'agent': {'save_dir': '${root_save_dir}/${job_name}/${dataset.dataset_name}/${algo}/seed_${seed}', 'batch_size': 64, 'memory_size': 32, 'improvement_threshold': 0.05, 'use_contrastive': False, 'use_ood_separation_loss': False, 'lambda_ood': 2.0, 'delta_ood': 1.0}}\n",
      "Setting seed 7\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [31 21 46 90  6 70 85 18 67 86 89 11 74 13 51 55 43 32 99 63 19  0 59 79\n",
      " 53 25 57 64 26 24 73 49 97 27 50 30 72 62 29 61 42 93 52 36 28 47 95 56\n",
      " 66 16 48  7 96 69 41 88 75 81 83 94 35 15 20 39 40 54  4 45 82 98  8 76\n",
      " 33 65 10 23  9 34 14 68 17 84 92  2 78 77 38 91 87  3 22 37 44 60 58 12\n",
      "  5  1 80 71]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (457, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [31 21 46 90  6 70 85 18 67 86 89 11 74 13 51 55 43 32 99 63 19  0 59 79\n",
      " 53 25 57 64 26 24 73 49 97 27 50 30 72 62 29 61 42 93 52 36 28 47 95 56\n",
      " 66 16 48  7 96 69 41 88 75 81 83 94 35 15 20 39 40 54  4 45 82 98  8 76\n",
      " 33 65 10 23  9 34 14 68 17 84 92  2 78 77 38 91 87  3 22 37 44 60 58 12\n",
      "  5  1 80 71]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (479, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (480, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (532, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [68 73 11 98 34 14 63 17 90  9 31 96 41 81 85 35 25 84  0 97 58 88 50 89\n",
      " 69  5 26 19 87  4 24 16 93 86 66 13 80 40 32  6 48  8 55 43 39 91  1 37\n",
      " 72 74 47 12 70 56 99  3 76 82 33 15 27 95 46 18 64 71 75 52 53 21 20 10\n",
      " 61 92 54 67 23 83 60 62 78 49 51 79  7 57 36 94 44 29 45 22 38 30 77 28\n",
      " 42  2 59 65]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (535, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (441, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [68 73 11 98 34 14 63 17 90  9 31 96 41 81 85 35 25 84  0 97 58 88 50 89\n",
      " 69  5 26 19 87  4 24 16 93 86 66 13 80 40 32  6 48  8 55 43 39 91  1 37\n",
      " 72 74 47 12 70 56 99  3 76 82 33 15 27 95 46 18 64 71 75 52 53 21 20 10\n",
      " 61 92 54 67 23 83 60 62 78 49 51 79  7 57 36 94 44 29 45 22 38 30 77 28\n",
      " 42  2 59 65]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (474, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [12 16 62 27 52 44 63 84 33 72 71  5 81 43 61  8 49 36 91 66 96 87 76 89\n",
      " 83 55 77 37 45 18 82 21 98 42 97  0 94 99 24  7 22 64 26 92 40  3 56 29\n",
      " 58 48 95 23 20 90  1 93  2 28 47 86 25 31 59 53 51 39 15 17 60 14 75 38\n",
      " 65 80 88 67  4 19 50  9 74 57 73 70 46 35 11 13 10 34 85  6 54 79 69 30\n",
      " 41 78 68 32]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (473, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (471, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (525, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [12 16 62 27 52 44 63 84 33 72 71  5 81 43 61  8 49 36 91 66 96 87 76 89\n",
      " 83 55 77 37 45 18 82 21 98 42 97  0 94 99 24  7 22 64 26 92 40  3 56 29\n",
      " 58 48 95 23 20 90  1 93  2 28 47 86 25 31 59 53 51 39 15 17 60 14 75 38\n",
      " 65 80 88 67  4 19 50  9 74 57 73 70 46 35 11 13 10 34 85  6 54 79 69 30\n",
      " 41 78 68 32]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (511, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (477, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (536, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [72 84 58 69 14 86 27 53 75 19 73 97 74 76 62 24 99 28  2 95 36 31 81 78\n",
      " 33 50 51 79  7 18 15 23  1 88 38 70 71 77  8 87 68 39 59 55 64  3 67 32\n",
      " 91 49 12  6 10 83 48 96 35 63  9 61 46 57 25 89 21 17 29 34 40 56 41  5\n",
      " 44 45  0 47 13 52 92 54 65 85 26 11 94 30 42 16 80 37 98 22 93 43 66 20\n",
      "  4 82 90 60]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (514, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (489, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [72 84 58 69 14 86 27 53 75 19 73 97 74 76 62 24 99 28  2 95 36 31 81 78\n",
      " 33 50 51 79  7 18 15 23  1 88 38 70 71 77  8 87 68 39 59 55 64  3 67 32\n",
      " 91 49 12  6 10 83 48 96 35 63  9 61 46 57 25 89 21 17 29 34 40 56 41  5\n",
      " 44 45  0 47 13 52 92 54 65 85 26 11 94 30 42 16 80 37 98 22 93 43 66 20\n",
      "  4 82 90 60]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [ 8 79 53 87 24 83 51 27 47 71 75 36  7 19 32 93 73 85 29  0 26 52 49 64\n",
      " 48 90 54 89  3 69 43 97  1 65  6 10 74 50 40 34 33 22 45 25 59 20 38  2\n",
      " 13 63 72 23 15 17 81 84  5 41 92 67 18 68 96 37 42 46 28 62 86 31 99 88\n",
      " 80  4 70 56 14 98 95 61 39  9 77 12 82 76 16 58 78 30 21 94 57 91 60 66\n",
      " 44 11 35 55]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (533, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (548, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (493, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (484, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (461, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [ 8 79 53 87 24 83 51 27 47 71 75 36  7 19 32 93 73 85 29  0 26 52 49 64\n",
      " 48 90 54 89  3 69 43 97  1 65  6 10 74 50 40 34 33 22 45 25 59 20 38  2\n",
      " 13 63 72 23 15 17 81 84  5 41 92 67 18 68 96 37 42 46 28 62 86 31 99 88\n",
      " 80  4 70 56 14 98 95 61 39  9 77 12 82 76 16 58 78 30 21 94 57 91 60 66\n",
      " 44 11 35 55]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (530, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (470, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (523, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (529, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [50 39 99 51 34 49 72 32 54 12 28 29  4  3 82 91 26  5 47 14 31 84 24  8\n",
      " 73 16 45 11 44 19 87 76 33 59 69  0 67 71 46 23 18 25 57 86 55 37 52 89\n",
      " 95 85  1 83 60 63 38 58 93 35 64 92 15 79 97 21 77 75 20 81 53 98 48 27\n",
      " 62 94 88  6 13 96 70  9 17 68  7 66 80 22 40 61 56 42 78 41 10 43 74 30\n",
      " 90 65 36  2]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (509, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (460, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (469, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (522, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (499, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [50 39 99 51 34 49 72 32 54 12 28 29  4  3 82 91 26  5 47 14 31 84 24  8\n",
      " 73 16 45 11 44 19 87 76 33 59 69  0 67 71 46 23 18 25 57 86 55 37 52 89\n",
      " 95 85  1 83 60 63 38 58 93 35 64 92 15 79 97 21 77 75 20 81 53 98 48 27\n",
      " 62 94 88  6 13 96 70  9 17 68  7 66 80 22 40 61 56 42 78 41 10 43 74 30\n",
      " 90 65 36  2]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (534, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (505, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (472, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [48 46 74 79 61 35  6 94 75 96 16  7 66 13 68 10 72 78 71 90 59  3 88 17\n",
      " 85 27 29 62 63 52 91 41 53 14 34 15  2 56 42 67 18 86 28 93 26 80 57 51\n",
      " 76 82 81 92 37 12 45 70 44 84 60 39 50 64 47 65 95  0 77 38 55 49 83 31\n",
      "  9  1  5 58 30 43 98 19 87 32 54 69 23 97 21 99 89  8 33 20 11  4 25 73\n",
      " 36 24 22 40]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (476, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (515, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (478, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (507, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (492, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (491, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [48 46 74 79 61 35  6 94 75 96 16  7 66 13 68 10 72 78 71 90 59  3 88 17\n",
      " 85 27 29 62 63 52 91 41 53 14 34 15  2 56 42 67 18 86 28 93 26 80 57 51\n",
      " 76 82 81 92 37 12 45 70 44 84 60 39 50 64 47 65 95  0 77 38 55 49 83 31\n",
      "  9  1  5 58 30 43 98 19 87 32 54 69 23 97 21 99 89  8 33 20 11  4 25 73\n",
      " 36 24 22 40]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (503, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (485, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (502, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (496, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Class sequence: [94 66 53 81 12 14 64 89 44 21  7  5  8 72 74 61 98 26 56  3 36 88  2 87\n",
      " 24 34 50 97 17 92 38 84 45 19 54 96  1 65 22 35 48 83 69 32 41 59 16 91\n",
      " 29 57 52 30 99 31 93 39 85 78 67 20 73 80 79 95 28 46 70 76 43 63 11 55\n",
      " 37 13 71 10 40 18 51 75  4 60  0 68 25 82 15 23 77 58 47 86 42  9 49 27\n",
      " 90 33 62  6]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (516, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (481, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (513, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (498, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (463, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (518, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [94 66 53 81 12 14 64 89 44 21  7  5  8 72 74 61 98 26 56  3 36 88  2 87\n",
      " 24 34 50 97 17 92 38 84 45 19 54 96  1 65 22 35 48 83 69 32 41 59 16 91\n",
      " 29 57 52 30 99 31 93 39 85 78 67 20 73 80 79 95 28 46 70 76 43 63 11 55\n",
      " 37 13 71 10 40 18 51 75  4 60  0 68 25 82 15 23 77 58 47 86 42  9 49 27\n",
      " 90 33 62  6]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (519, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (487, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (528, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (494, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (506, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (482, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (467, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "i_size 32\n",
      "num_classes 5\n",
      "net_cfg {'name': 'cnn', 'depth': 4, 'channels': 50, 'conv_kernel': 3, 'maxpool_kernel': 2, 'padding': 1, 'dropout': 0.5, 'no_sparse_basis': True, 'i_size': 32, 'num_classes': 5, 'num_tasks': 20, 'num_init_tasks': 4, 'use_contrastive': False}\n",
      "<class 'shell.learners.er_dynamic.CompositionalDynamicER'>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:Class sequence: [57 18  8 87 14 79  1 80 86 20  2 78 77 17 52 62  4 85 26 25 46 99 24 27\n",
      " 71 67 37 30  3 28 53 31 94 68 70 63 75 42 58 56 88 72 96 48  9 81 84  5\n",
      " 91 74 16 41 51 89 22 73 32 40 12 21 34 15 55 50 35 33 93 38 76  6 43  0\n",
      " 61 64 90 59 54 82 23 97 10 69 60 11 44 29 49 47  7 45 92 19 39 83 66 98\n",
      " 36 95 65 13]\n",
      "INFO:root:task 0 :(1280, 3, 32, 32) (490, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 1 :(1280, 3, 32, 32) (488, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 2 :(1280, 3, 32, 32) (526, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 3 :(1280, 3, 32, 32) (508, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 4 :(1280, 3, 32, 32) (454, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 5 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 6 :(1280, 3, 32, 32) (462, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 7 :(1280, 3, 32, 32) (549, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 8 :(1280, 3, 32, 32) (533, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 9 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 10 :(1280, 3, 32, 32) (510, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 11 :(1280, 3, 32, 32) (483, 3, 32, 32) (500, 3, 32, 32)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "labels: [57 18  8 87 14 79  1 80 86 20  2 78 77 17 52 62  4 85 26 25 46 99 24 27\n",
      " 71 67 37 30  3 28 53 31 94 68 70 63 75 42 58 56 88 72 96 48  9 81 84  5\n",
      " 91 74 16 41 51 89 22 73 32 40 12 21 34 15 55 50 35 33 93 38 76  6 43  0\n",
      " 61 64 90 59 54 82 23 97 10 69 60 11 44 29 49 47  7 45 92 19 39 83 66 98\n",
      " 36 95 65 13]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:root:task 12 :(1280, 3, 32, 32) (495, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 13 :(1280, 3, 32, 32) (501, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 14 :(1280, 3, 32, 32) (465, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 15 :(1280, 3, 32, 32) (520, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 16 :(1280, 3, 32, 32) (521, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 17 :(1280, 3, 32, 32) (524, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 18 :(1280, 3, 32, 32) (504, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:task 19 :(1280, 3, 32, 32) (486, 3, 32, 32) (500, 3, 32, 32)\n",
      "INFO:root:Agent: node_id: 69420, seed: 69420007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 0, seed: 7\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 1, seed: 1007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 2, seed: 2007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 3, seed: 3007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 4, seed: 4007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 5, seed: 5007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 6, seed: 6007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Agent: node_id: 7, seed: 7007\n",
      "INFO:root:TRYOUT SELECTION\n",
      "INFO:root:Created fleet with 8 agents\n",
      "INFO:root:Adding neighbors...\n",
      "INFO:root:Fleet initialized\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setting seed 69420007\n",
      "Setting seed 7\n",
      "Setting seed 1007\n",
      "Setting seed 2007\n",
      "Setting seed 3007\n",
      "Setting seed 4007\n",
      "Setting seed 5007\n",
      "Setting seed 6007\n",
      "Setting seed 7007\n"
     ]
    }
   ],
   "source": [
    "seeds = range(8)\n",
    "in_clus_ls, out_clus_ls = [], []\n",
    "for seed in seeds:\n",
    "    save_dir = get_save_dir(experiment_folder, experiment_name,\n",
    "                            dataset, algo, num_trains_per_class, use_contrastive, seed)\n",
    "\n",
    "\n",
    "    fleet = setup_fleet(save_dir, parallel=False, modify_cfg=modify_cfg)\n",
    "    fleet.load_records()\n",
    "    fleet.change_save_dir('combined_dataset_engineering_experiment_results')\n",
    "    set_color(fleet)\n",
    "    communication = get_communication(fleet,multiplier=1)\n",
    "    in_clus, out_clus = compute_cluster_communications(fleet, communication)\n",
    "    in_clus_ls.append(in_clus)\n",
    "    out_clus_ls.append(out_clus)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.17666997354497346, 0.204595379818594, 0.18434075018896445, 0.18167162698412692, 0.18110473356009066, 0.1833073507180649, 0.18712797619047614, 0.2043237433862434]\n",
      "[0, 0, 0, 0, 0, 0, 0, 0]\n"
     ]
    }
   ],
   "source": [
    "print(in_clus_ls)\n",
    "print(out_clus_ls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(in_clus_ls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "means [0.18789269179894175, 0.0]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_7244/4114540729.py:1: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
      "  plt.style.use('seaborn-whitegrid')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('seaborn-whitegrid')\n",
    "# Calculate means and standard deviations\n",
    "in_clus_mean = np.mean(in_clus_ls)\n",
    "out_clus_mean = np.mean(out_clus_ls)\n",
    "in_clus_std = np.std(in_clus_ls)\n",
    "out_clus_std = np.std(out_clus_ls)\n",
    "\n",
    "# Plotting\n",
    "labels = ['In-Cluster', 'Out-Cluster']\n",
    "means = [in_clus_mean, out_clus_mean]\n",
    "print('means', means)\n",
    "stds = [in_clus_std, out_clus_std]\n",
    "\n",
    "x = np.arange(len(labels))  # the label locations\n",
    "width = 0.35  # the width of the bars\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "rects1 = ax.bar(x, means, width, yerr=stds, label='Mean Communication', capsize=5,\n",
    "                color=['#1f77b4', '#ff7f0e'])\n",
    "ax.grid(True, which='major', linestyle='--', alpha=0.5)\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('Communication')\n",
    "ax.set_title('Average Communication by Cluster Type')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels)\n",
    "# ax.legend()\n",
    "\n",
    "# ax.bar_label(rects1, padding=3)\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "shell",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}