SmVAE_train.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:22:35.237989Z",
     "start_time": "2020-05-22T19:22:35.220076Z"
    }
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:22:38.209183Z",
     "start_time": "2020-05-22T19:22:36.167423Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit WARNING: [15:22:37] Enabling RDKit 2019.09.3 jupyter extensions\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Restored variables from data/scscore_1024uint8_model.ckpt-10654.as_numpy.json.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beangoben/anaconda3/lib/python3.7/site-packages/tqdm/std.py:658: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version\n",
      "  from pandas import Panel\n"
     ]
    }
   ],
   "source": [
    "import vaemof\n",
    "from vaemof import experiments\n",
    "from vaemof import utils\n",
    "from vaemof.vocabs import SELFIESVocab, MOFVocab, PropVocab\n",
    "from vaemof import modules\n",
    "from vaemof import training\n",
    "from vaemof.model import VAEMOF\n",
    "from vaemof import configs\n",
    "from vaemof.utils import header_str\n",
    "vaemof.experiments.plot_settings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:22:41.899271Z",
     "start_time": "2020-05-22T19:22:41.814491Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rdkit : 2019.09.3\n",
      "torch : 1.4.0\n",
      "cuda? True\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/beangoben/anaconda3/lib/python3.7/site-packages/tqdm/std.py:658: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version\n",
      "  from pandas import Panel\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import random\n",
    "from tqdm.auto import tqdm\n",
    "import numpy as np\n",
    "import torch\n",
    "import rdkit\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import sklearn\n",
    "from sklearn.decomposition import PCA\n",
    "from itertools import product\n",
    "from more_itertools import chunked\n",
    "from collections import OrderedDict\n",
    "\n",
    "print(f'rdkit : {rdkit.__version__}')\n",
    "print(f'torch : {torch.__version__}')\n",
    "print(f'cuda? {torch.cuda.is_available()}')\n",
    "tqdm.pandas()\n",
    "utils.disable_rdkit_log()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hparams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:22:46.853900Z",
     "start_time": "2020-05-22T19:22:46.826966Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===================================== full =====================================\n",
      "==================================== config ====================================\n",
      "== train == :\n",
      "        train_device:                cuda\n",
      "          train_seed:                  42\n",
      "    train_batch_size:                1536\n",
      "        train_epochs:                 120\n",
      "            train_lr:        0.0005705023\n",
      "     train_clip_grad:                  20\n",
      "== vae == :\n",
      "      vae_latent_dim:                 288\n",
      "           vae_y_dec:                True\n",
      "     vae_selfies_dec:                True\n",
      "         vae_mof_enc:                True\n",
      "         vae_mof_dec:                True\n",
      "vae_duplicate_smiles:                True\n",
      "== mof == :\n",
      "        mof_encoding:                cats\n",
      "   mof_weighted_loss:                True\n",
      "         mof_w_start:                 0.0\n",
      "           mof_w_end:                 0.1\n",
      "           mof_start:                   0\n",
      "    mof_const_length:                  10\n",
      "== y == :\n",
      "            y_labels:['lcd', 'pld', 'density', 'agsa', 'co2n2_co2_mol_kg', 'co2n2_n2_mol_kg', 'co2ch4_co2_mol_kg', 'co2ch4_ch4_mol_kg']\n",
      "           y_weights:[1, 1, 1, 1, 1, 1, 1, 1]\n",
      "           y_w_start:                 0.0\n",
      "             y_w_end:                 0.1\n",
      "             y_start:                   0\n",
      "      y_const_length:                  10\n",
      "== files == :\n",
      "          files_data:data/MOF_gen_train.csv.gz\n",
      "          files_prop:data/MOF_properties_train.csv\n",
      "       files_results:       results/test/\n",
      "        files_config:         config.json\n",
      "           files_log:             log.csv\n",
      "== kl == :\n",
      "     kl_cycle_length:                  15\n",
      "   kl_cycle_constant:                   3\n",
      "     kl_weight_start:               1e-05\n",
      "       kl_weight_end:         0.002794217\n",
      "== enc == :\n",
      "      enc_hidden_dim:                 768\n",
      "        enc_n_layers:                   1\n",
      "         enc_dropout:                0.24\n",
      "== dec == :\n",
      "      dec_hidden_dim:                 704\n",
      "        dec_n_layers:                   1\n",
      "         dec_dropout:                0.24\n",
      "== scaler == :\n",
      "         scaler_type:            standard\n"
     ]
    }
   ],
   "source": [
    "preset = 'full'\n",
    "WORK_DIR = 'results/best/'\n",
    "hparams = configs.get_model_config(WORK_DIR, preset, rand=False)\n",
    "print(utils.header_str(preset))\n",
    "hparams['train_device'] = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "\n",
    "testing = configs.testing_config(hparams)\n",
    "configs.print_config(hparams)\n",
    "utils.set_seed(hparams['train_seed'])\n",
    "device = torch.device(hparams['train_device'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load MOF data\n",
    "\n",
    "Assemble smiles formula: [organic core][metal_node][topology][branch_smiles]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:25:23.887873Z",
     "start_time": "2020-05-22T19:25:21.633753Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================================== Real run ===================================\n",
      "df shape: (2049964, 8)\n",
      "df columns: ['branch_smiles', 'id2mof', 'metal_node', 'mof_index', 'organic_core', 'randomized', 'topology', 'train/test']\n",
      "Found 713 unique mofs\n"
     ]
    },
    {
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       "      <th></th>\n",
       "      <th>branch_smiles</th>\n",
       "      <th>id2mof</th>\n",
       "      <th>metal_node</th>\n",
       "      <th>mof_index</th>\n",
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       "      <th>0</th>\n",
       "      <td>CC(c1cc(O)cc(O)c1)(C(Sc1cc(O)cc(O)c1)c1cc(O)cc...</td>\n",
       "      <td>0</td>\n",
       "      <td>sym_7_mc_4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>acs</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Oc1ccc(-c2cc(/C=C/c3c(-c4ccc(O)cc4)cc([Lr])c(-...</td>\n",
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       "      <td>10.0</td>\n",
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       "      <td>acs</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>O=S(=O)(O)Cc1nn([Lr])c(CS(=O)(=O)O)c1-c1c(CS(=...</td>\n",
       "      <td>0</td>\n",
       "      <td>sym_7_mc_4</td>\n",
       "      <td>18.0</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>acs</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[Lr]c1ccc(-c2c(-c3ccccc3)cc([Lr])c(-c3ccccc3)c...</td>\n",
       "      <td>0</td>\n",
       "      <td>sym_7_mc_4</td>\n",
       "      <td>23.0</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>acs</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[Lr]c1ccc(N2C=C(c3ccncc3)N(c3c(-c4ccncc4)cc([L...</td>\n",
       "      <td>0</td>\n",
       "      <td>sym_7_mc_4</td>\n",
       "      <td>29.0</td>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>acs</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                                       branch_smiles  id2mof  metal_node  \\\n",
       "0  CC(c1cc(O)cc(O)c1)(C(Sc1cc(O)cc(O)c1)c1cc(O)cc...       0  sym_7_mc_4   \n",
       "1  Oc1ccc(-c2cc(/C=C/c3c(-c4ccc(O)cc4)cc([Lr])c(-...       0  sym_7_mc_4   \n",
       "2  O=S(=O)(O)Cc1nn([Lr])c(CS(=O)(=O)O)c1-c1c(CS(=...       0  sym_7_mc_4   \n",
       "3  [Lr]c1ccc(-c2c(-c3ccccc3)cc([Lr])c(-c3ccccc3)c...       0  sym_7_mc_4   \n",
       "4  [Lr]c1ccc(N2C=C(c3ccncc3)N(c3c(-c4ccncc4)cc([L...       0  sym_7_mc_4   \n",
       "\n",
       "   mof_index organic_core  randomized topology  train/test  \n",
       "0        4.0         None       False      acs           1  \n",
       "1       10.0         None       False      acs           1  \n",
       "2       18.0         None       False      acs           1  \n",
       "3       23.0         None       False      acs           1  \n",
       "4       29.0         None       False      acs           1  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smiles_column = 'branch_smiles'\n",
    "testtrain_column = 'train/test'\n",
    "df = experiments.get_generator_df(csv_file=hparams['files_data'],\n",
    "                                  smiles_column=smiles_column,\n",
    "                                  use_duplicates=hparams['vae_duplicate_smiles'],\n",
    "                                  testing=testing)\n",
    "ids2mofs, mof2ids, mof_columns = experiments.get_mofdict(\n",
    "    df, hparams['mof_encoding'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load property data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:26:15.187842Z",
     "start_time": "2020-05-22T19:25:37.332978Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=================================== Real run ===================================\n",
      "Restored variables from data/scscore_1024uint8_model.ckpt-10654.as_numpy.json.gz\n"
     ]
    },
    {
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Removed 2923 datapoints due to mask.\n",
      "Removed 1819 datapoints due non-valid mof (mof2ids).\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>organic_core</th>\n",
       "      <th>metal_node</th>\n",
       "      <th>topology</th>\n",
       "      <th>branch_smiles</th>\n",
       "      <th>lcd</th>\n",
       "      <th>pld</th>\n",
       "      <th>density</th>\n",
       "      <th>agsa</th>\n",
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       "      <th>co2n2_n2_mol_kg</th>\n",
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       "      <td>True</td>\n",
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       "      <td>None</td>\n",
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       "      <td>acs</td>\n",
       "      <td>O=C(c1cc(O)c(cc1O)[Lr])OOC(=O)c1cc(O)c(cc1O)[Lr]</td>\n",
       "      <td>17.01677</td>\n",
       "      <td>15.91720</td>\n",
       "      <td>0.320703</td>\n",
       "      <td>5078.290</td>\n",
       "      <td>0.161247</td>\n",
       "      <td>0.200035</td>\n",
       "      <td>0.645542</td>\n",
       "      <td>1.933800</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>2.668208</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>sym_7_mc_4</td>\n",
       "      <td>acs</td>\n",
       "      <td>Oc1c(cc(c(c1O)[Lr])O)c1nnc(nn1)c1ccc(c(c1)O)[Lr]</td>\n",
       "      <td>19.50569</td>\n",
       "      <td>17.17410</td>\n",
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       "      <td>True</td>\n",
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       "      <td>1</td>\n",
       "      <td>3.688210</td>\n",
       "      <td>0</td>\n",
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       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>sym_7_mc_4</td>\n",
       "      <td>acs</td>\n",
       "      <td>[Lr]C12C=CC(C=C1)(C=C2)[Lr]</td>\n",
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       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>1</td>\n",
       "      <td>1.831772</td>\n",
       "      <td>0</td>\n",
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      ],
      "text/plain": [
       "  organic_core  metal_node topology  \\\n",
       "0         None  sym_7_mc_4      acs   \n",
       "1         None  sym_7_mc_4      acs   \n",
       "2         None  sym_7_mc_4      acs   \n",
       "3         None  sym_7_mc_4      acs   \n",
       "4         None  sym_7_mc_4      acs   \n",
       "\n",
       "                                       branch_smiles       lcd       pld  \\\n",
       "0  COc1c(/C=C/c2ccc([Lr])cc2)cc(OC)c(/C=C/c3ccc([...  24.87798  19.29733   \n",
       "1         CSC1=C2CCC(=C(C(=C2SC)[Lr])SC)C(=C1[Lr])SC   7.78281   5.18969   \n",
       "2   O=C(c1cc(O)c(cc1O)[Lr])OOC(=O)c1cc(O)c(cc1O)[Lr]  17.01677  15.91720   \n",
       "3   Oc1c(cc(c(c1O)[Lr])O)c1nnc(nn1)c1ccc(c(c1)O)[Lr]  19.50569  17.17410   \n",
       "4                        [Lr]C12C=CC(C=C1)(C=C2)[Lr]   9.58653   8.21739   \n",
       "\n",
       "    density      agsa  co2n2_co2_mol_kg  co2n2_n2_mol_kg  co2ch4_co2_mol_kg  \\\n",
       "0  0.164554  7044.060          0.144618         0.349278           0.581987   \n",
       "1  1.119280   874.575          0.146916         0.080829           0.528460   \n",
       "2  0.320703  5078.290          0.161247         0.200035           0.645542   \n",
       "3  0.291374  4810.800          0.123371         0.206453           0.476879   \n",
       "4  0.799733  2526.910          0.187598         0.182757           0.662801   \n",
       "\n",
       "   co2ch4_ch4_mol_kg  selfies_safe  mask  train/test   scscore  id2mof  \n",
       "0           2.931209          True  True           1  3.384814       0  \n",
       "1           1.487603          True  True           0  3.176298       0  \n",
       "2           1.933800          True  True           1  2.668208       0  \n",
       "3           1.906831          True  True           1  3.688210       0  \n",
       "4           2.751822          True  True           1  1.831772       0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_df = experiments.get_prop_df(csv_file=hparams['files_prop'],\n",
    "                                  targets=hparams['y_labels'],\n",
    "                                  mof2ids=mof2ids,\n",
    "                                  testing=testing,\n",
    "                                  smiles_column=smiles_column,\n",
    "                                  compute_scscore=True)\n",
    "prop_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-09-26T22:30:17.885911Z",
     "start_time": "2019-09-26T22:30:17.854869Z"
    }
   },
   "source": [
    "## Train/test splits and hparams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:26:29.608263Z",
     "start_time": "2020-05-22T19:26:29.286578Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train sizes: 1894967 and   37015\n",
      "Test  sizes:  154997 and    4132\n"
     ]
    }
   ],
   "source": [
    "train_index = np.array(df[df[testtrain_column] == 1].index.tolist())\n",
    "test_index = np.array(df[df[testtrain_column] == 0].index.tolist())\n",
    "prop_train_index = np.array(\n",
    "    prop_df[prop_df[testtrain_column] == 1].index.tolist())\n",
    "prop_test_index = np.array(\n",
    "    prop_df[prop_df[testtrain_column] == 0].index.tolist())\n",
    "print(f'Train sizes: {len(train_index):7d} and {len(prop_train_index):7d}')\n",
    "print(f'Test  sizes: {len(test_index):7d} and {len(prop_test_index):7d}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Vocabulary and preprocessors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:28:37.969693Z",
     "start_time": "2020-05-22T19:26:33.614023Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5111aae42b754a4887067de0e731dc36",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=2091111.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Alphabet size is 73\n",
      "Max seq length is 109 with 5 extra padding\n",
      "Used columns =['metal_node', 'organic_core', 'topology'] with frequency weighting=True\n",
      "metal_node   has 15 classes\n",
      "organic_core has 52 classes\n",
      "topology     has 41 classes\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(<vaemof.vocabs.SELFIESVocab at 0x7f88f522c7d0>,\n",
       " <vaemof.vocabs.MOFVocab at 0x7f89c854d310>,\n",
       " <vaemof.vocabs.PropVocab at 0x7f89caedbad0>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smiles_list = df[smiles_column].tolist()+prop_df[smiles_column].tolist()\n",
    "vocab = SELFIESVocab.from_data(smiles_list)\n",
    "vocab_mof = MOFVocab.from_data(df.append(\n",
    "    prop_df, sort=False), mof_columns, weighting=hparams['mof_weighted_loss'])\n",
    "vocab_y = PropVocab.from_data(\n",
    "    prop_df, hparams['y_labels'], hparams['y_weights'], hparams['scaler_type'])\n",
    "vocab, vocab_mof, vocab_y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Instanciate Model\n",
    "\n",
    "## Careful! (it saves and will overwrite any model previously saved)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:28:40.706761Z",
     "start_time": "2020-05-22T19:28:37.970861Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h1>VAEMOF</h1>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Module</th>\n",
       "      <th>Extra</th>\n",
       "      <th>submodule</th>\n",
       "      <th>trainable</th>\n",
       "      <th>n_params</th>\n",
       "      <th>trainable_params</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>z_mu</td>\n",
       "      <td>Linear</td>\n",
       "      <td>in_features=576, out_features=288, bias=True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>166176</td>\n",
       "      <td>166176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>z_logvar</td>\n",
       "      <td>Linear</td>\n",
       "      <td>in_features=576, out_features=288, bias=True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>166176</td>\n",
       "      <td>166176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>enc_x</td>\n",
       "      <td>CharEncoder</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2388096</td>\n",
       "      <td>2388096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>dec_x</td>\n",
       "      <td>CharDecoder</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2510792</td>\n",
       "      <td>2510792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>enc_mof</td>\n",
       "      <td>MOFEncoder</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>280800</td>\n",
       "      <td>280800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>dec_mof</td>\n",
       "      <td>MOFDecoder</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>114552</td>\n",
       "      <td>114444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>dec_y</td>\n",
       "      <td>PropDecoder</td>\n",
       "      <td></td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>2320</td>\n",
       "      <td>2312</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Name       Module                                         Extra  \\\n",
       "0      z_mu       Linear  in_features=576, out_features=288, bias=True   \n",
       "1  z_logvar       Linear  in_features=576, out_features=288, bias=True   \n",
       "2     enc_x  CharEncoder                                                 \n",
       "3     dec_x  CharDecoder                                                 \n",
       "4   enc_mof   MOFEncoder                                                 \n",
       "5   dec_mof   MOFDecoder                                                 \n",
       "6     dec_y  PropDecoder                                                 \n",
       "\n",
       "   submodule  trainable  n_params  trainable_params  \n",
       "0      False       True    166176            166176  \n",
       "1      False       True    166176            166176  \n",
       "2      False       True   2388096           2388096  \n",
       "3      False       True   2510792           2510792  \n",
       "4      False       True    280800            280800  \n",
       "5      False       True    114552            114444  \n",
       "6      False       True      2320              2312  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Trainable params: 5623612 out of 5623728 total (100.00%)\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    utils.clear_torch(model)\n",
    "except:\n",
    "    utils.clear_torch(model=None)\n",
    "\n",
    "model = VAEMOF(hparams, vocab, vocab_mof, vocab_y).to(device)\n",
    "model.save()\n",
    "modules.model_summary(model, include_children=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-16T03:37:06.457591Z",
     "start_time": "2020-02-16T03:37:06.438876Z"
    }
   },
   "source": [
    "## Prepare train/test "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-22T19:31:00.323555Z",
     "start_time": "2020-05-22T19:28:40.708199Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c77ddb6cd91f4b27ad4d90dc0b4a80e6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='SMILES', max=19.0, style=ProgressStyle(description_width=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1a34a714c68b4c3a956a7fd8c7a71d44",
       "version_major": 2,
       "version_minor": 0
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      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='MOF', max=190.0, style=ProgressStyle(description_width='i…"
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "697e54cbb21042aa915f4a8d81b8d9a0",
       "version_major": 2,
       "version_minor": 0
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       "HBox(children=(FloatProgress(value=0.0, description='MOF', max=16.0, style=ProgressStyle(description_width='in…"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "train_mof = model.df_to_tuples(df.loc[train_index], smiles_column)\n",
    "test_mof = model.df_to_tuples(df.loc[test_index], smiles_column)\n",
    "prop_train = model.df_to_tuples(prop_df.loc[prop_train_index], smiles_column)\n",
    "prop_test = model.df_to_tuples(prop_df.loc[prop_test_index], smiles_column)\n",
    "train_data = train_mof + prop_train\n",
    "test_data = test_mof + prop_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-25T00:23:21.803963Z",
     "start_time": "2020-05-22T20:05:55.030636Z"
    },
    "scrolled": false
   },
   "outputs": [
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     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "trainer = training.Trainer(hparams)\n",
    "trainer.train(model, train_data, test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-25T03:03:13.459689Z",
     "start_time": "2020-05-25T03:03:00.818265Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==================================== config ====================================\n",
      "== train == :\n",
      "        train_device:                cuda\n",
      "          train_seed:                  42\n",
      "    train_batch_size:                1536\n",
      "        train_epochs:                 120\n",
      "            train_lr:0.0005705023000000001\n",
      "     train_clip_grad:                  20\n",
      "== vae == :\n",
      "      vae_latent_dim:                 288\n",
      "           vae_y_dec:                True\n",
      "     vae_selfies_dec:                True\n",
      "         vae_mof_enc:                True\n",
      "         vae_mof_dec:                True\n",
      "vae_duplicate_smiles:                True\n",
      "== mof == :\n",
      "        mof_encoding:                cats\n",
      "   mof_weighted_loss:                True\n",
      "         mof_w_start:                 0.0\n",
      "           mof_w_end:                 0.1\n",
      "           mof_start:                   0\n",
      "    mof_const_length:                  10\n",
      "== y == :\n",
      "            y_labels:['lcd', 'pld', 'density', 'agsa', 'co2n2_co2_mol_kg', 'co2n2_n2_mol_kg', 'co2ch4_co2_mol_kg', 'co2ch4_ch4_mol_kg']\n",
      "           y_weights:[1, 1, 1, 1, 1, 1, 1, 1]\n",
      "           y_w_start:                 0.0\n",
      "             y_w_end:                 0.1\n",
      "             y_start:                   0\n",
      "      y_const_length:                  10\n",
      "== files == :\n",
      "          files_data:data/MOF_gen_train.csv.gz\n",
      "          files_prop:data/MOF_properties_train.csv\n",
      "       files_results:       results/test/\n",
      "        files_config:         config.json\n",
      "           files_log:             log.csv\n",
      "== kl == :\n",
      "     kl_cycle_length:                  15\n",
      "   kl_cycle_constant:                   3\n",
      "     kl_weight_start:               1e-05\n",
      "       kl_weight_end:0.0027942170000000003\n",
      "== enc == :\n",
      "      enc_hidden_dim:                 768\n",
      "        enc_n_layers:                   1\n",
      "         enc_dropout:                0.24\n",
      "== dec == :\n",
      "      dec_hidden_dim:                 704\n",
      "        dec_n_layers:                   1\n",
      "         dec_dropout:                0.24\n",
      "== scaler == :\n",
      "         scaler_type:            standard\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "61062edfaa9c480ab57679ef9ad5046a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, description='MOF', max=16.0, style=ProgressStyle(description_width='in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(154997, 4132)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hparams_file = os.path.join(WORK_DIR,'config.json')\n",
    "hparams = configs.AttributeDict.from_jsonfile(hparams_file)\n",
    "configs.print_config(hparams)\n",
    "model = VAEMOF.load(hparams)\n",
    "test_mof = model.df_to_tuples(df.loc[test_index], smiles_column)\n",
    "prop_test = model.df_to_tuples(prop_df.loc[prop_test_index], smiles_column)\n",
    "len(test_mof), len(prop_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-25T03:03:13.493631Z",
     "start_time": "2020-05-25T03:03:13.460777Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(120, 42)\n",
      "Index(['epoch', 'test_kl', 'test_x', 'test_mof', 'test_y', 'test_loss',\n",
      "       'lcd-r2', 'lcd-MAE', 'pld-r2', 'pld-MAE', 'density-r2', 'density-MAE',\n",
      "       'agsa-r2', 'agsa-MAE', 'co2n2_co2_mol_kg-r2', 'co2n2_co2_mol_kg-MAE',\n",
      "       'co2n2_n2_mol_kg-r2', 'co2n2_n2_mol_kg-MAE', 'co2ch4_co2_mol_kg-r2',\n",
      "       'co2ch4_co2_mol_kg-MAE', 'co2ch4_ch4_mol_kg-r2',\n",
      "       'co2ch4_ch4_mol_kg-MAE', 'lr', 'λ_x', 'λ_kl', 'λ_y', 'λ_mof',\n",
      "       'train_kl', 'train_x', 'train_mof', 'train_y', 'train_loss', 'mof_acc',\n",
      "       'mean_r2', 'train_kl_ratio', 'train_x_ratio', 'train_mof_ratio',\n",
      "       'train_y_ratio', 'test_kl_ratio', 'test_x_ratio', 'test_mof_ratio',\n",
      "       'test_y_ratio'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>epoch</th>\n",
       "      <th>test_kl</th>\n",
       "      <th>test_x</th>\n",
       "      <th>test_mof</th>\n",
       "      <th>test_y</th>\n",
       "      <th>test_loss</th>\n",
       "      <th>lcd-r2</th>\n",
       "      <th>lcd-MAE</th>\n",
       "      <th>pld-r2</th>\n",
       "      <th>pld-MAE</th>\n",
       "      <th>...</th>\n",
       "      <th>mof_acc</th>\n",
       "      <th>mean_r2</th>\n",
       "      <th>train_kl_ratio</th>\n",
       "      <th>train_x_ratio</th>\n",
       "      <th>train_mof_ratio</th>\n",
       "      <th>train_y_ratio</th>\n",
       "      <th>test_kl_ratio</th>\n",
       "      <th>test_x_ratio</th>\n",
       "      <th>test_mof_ratio</th>\n",
       "      <th>test_y_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>745.308038</td>\n",
       "      <td>0.233533</td>\n",
       "      <td>13.844149</td>\n",
       "      <td>0.319639</td>\n",
       "      <td>0.240986</td>\n",
       "      <td>0.961102</td>\n",
       "      <td>139.310165</td>\n",
       "      <td>0.692340</td>\n",
       "      <td>288.659576</td>\n",
       "      <td>...</td>\n",
       "      <td>13.210456</td>\n",
       "      <td>0.764378</td>\n",
       "      <td>0.025241</td>\n",
       "      <td>0.974759</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030927</td>\n",
       "      <td>0.969073</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>262.612716</td>\n",
       "      <td>0.107256</td>\n",
       "      <td>2.582864</td>\n",
       "      <td>0.146864</td>\n",
       "      <td>0.161108</td>\n",
       "      <td>0.998493</td>\n",
       "      <td>29.862459</td>\n",
       "      <td>0.985298</td>\n",
       "      <td>63.956322</td>\n",
       "      <td>...</td>\n",
       "      <td>66.798007</td>\n",
       "      <td>0.979493</td>\n",
       "      <td>0.266913</td>\n",
       "      <td>0.702866</td>\n",
       "      <td>0.014297</td>\n",
       "      <td>0.015924</td>\n",
       "      <td>0.318859</td>\n",
       "      <td>0.665738</td>\n",
       "      <td>0.014574</td>\n",
       "      <td>0.000829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>157.688753</td>\n",
       "      <td>0.069386</td>\n",
       "      <td>0.752682</td>\n",
       "      <td>0.134388</td>\n",
       "      <td>0.131115</td>\n",
       "      <td>0.994220</td>\n",
       "      <td>54.791012</td>\n",
       "      <td>0.999904</td>\n",
       "      <td>5.885027</td>\n",
       "      <td>...</td>\n",
       "      <td>89.545379</td>\n",
       "      <td>0.965307</td>\n",
       "      <td>0.399742</td>\n",
       "      <td>0.548922</td>\n",
       "      <td>0.014963</td>\n",
       "      <td>0.036373</td>\n",
       "      <td>0.458496</td>\n",
       "      <td>0.529203</td>\n",
       "      <td>0.010438</td>\n",
       "      <td>0.001864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>114.916460</td>\n",
       "      <td>0.051231</td>\n",
       "      <td>0.467255</td>\n",
       "      <td>0.130795</td>\n",
       "      <td>0.118002</td>\n",
       "      <td>0.993977</td>\n",
       "      <td>55.395493</td>\n",
       "      <td>0.967481</td>\n",
       "      <td>94.383797</td>\n",
       "      <td>...</td>\n",
       "      <td>93.286788</td>\n",
       "      <td>0.957317</td>\n",
       "      <td>0.495839</td>\n",
       "      <td>0.433063</td>\n",
       "      <td>0.010313</td>\n",
       "      <td>0.060785</td>\n",
       "      <td>0.552021</td>\n",
       "      <td>0.434157</td>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.003023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>101.953758</td>\n",
       "      <td>0.052679</td>\n",
       "      <td>0.358073</td>\n",
       "      <td>0.126724</td>\n",
       "      <td>0.131158</td>\n",
       "      <td>0.999636</td>\n",
       "      <td>15.394979</td>\n",
       "      <td>0.999429</td>\n",
       "      <td>13.422359</td>\n",
       "      <td>...</td>\n",
       "      <td>94.805263</td>\n",
       "      <td>0.957383</td>\n",
       "      <td>0.516972</td>\n",
       "      <td>0.398447</td>\n",
       "      <td>0.009593</td>\n",
       "      <td>0.074988</td>\n",
       "      <td>0.584912</td>\n",
       "      <td>0.401647</td>\n",
       "      <td>0.009928</td>\n",
       "      <td>0.003513</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   epoch     test_kl    test_x   test_mof    test_y  test_loss    lcd-r2  \\\n",
       "0      0  745.308038  0.233533  13.844149  0.319639   0.240986  0.961102   \n",
       "1      1  262.612716  0.107256   2.582864  0.146864   0.161108  0.998493   \n",
       "2      2  157.688753  0.069386   0.752682  0.134388   0.131115  0.994220   \n",
       "3      3  114.916460  0.051231   0.467255  0.130795   0.118002  0.993977   \n",
       "4      4  101.953758  0.052679   0.358073  0.126724   0.131158  0.999636   \n",
       "\n",
       "      lcd-MAE    pld-r2     pld-MAE  ...    mof_acc   mean_r2  train_kl_ratio  \\\n",
       "0  139.310165  0.692340  288.659576  ...  13.210456  0.764378        0.025241   \n",
       "1   29.862459  0.985298   63.956322  ...  66.798007  0.979493        0.266913   \n",
       "2   54.791012  0.999904    5.885027  ...  89.545379  0.965307        0.399742   \n",
       "3   55.395493  0.967481   94.383797  ...  93.286788  0.957317        0.495839   \n",
       "4   15.394979  0.999429   13.422359  ...  94.805263  0.957383        0.516972   \n",
       "\n",
       "   train_x_ratio  train_mof_ratio  train_y_ratio  test_kl_ratio  test_x_ratio  \\\n",
       "0       0.974759         0.000000       0.000000       0.030927      0.969073   \n",
       "1       0.702866         0.014297       0.015924       0.318859      0.665738   \n",
       "2       0.548922         0.014963       0.036373       0.458496      0.529203   \n",
       "3       0.433063         0.010313       0.060785       0.552021      0.434157   \n",
       "4       0.398447         0.009593       0.074988       0.584912      0.401647   \n",
       "\n",
       "   test_mof_ratio  test_y_ratio  \n",
       "0        0.000000      0.000000  \n",
       "1        0.014574      0.000829  \n",
       "2        0.010438      0.001864  \n",
       "3        0.010799      0.003023  \n",
       "4        0.009928      0.003513  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "log_df = pd.read_csv(configs.at_results_dir(hparams,'files_log'))\n",
    "print(log_df.shape)\n",
    "print(log_df.columns)\n",
    "log_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-05-25T03:03:17.885551Z",
     "start_time": "2020-05-25T03:03:13.494715Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>epoch</th>\n",
       "      <th>test_kl</th>\n",
       "      <th>test_x</th>\n",
       "      <th>test_mof</th>\n",
       "      <th>test_y</th>\n",
       "      <th>test_loss</th>\n",
       "      <th>lcd-r2</th>\n",
       "      <th>lcd-MAE</th>\n",
       "      <th>pld-r2</th>\n",
       "      <th>pld-MAE</th>\n",
       "      <th>...</th>\n",
       "      <th>mof_acc</th>\n",
       "      <th>mean_r2</th>\n",
       "      <th>train_kl_ratio</th>\n",
       "      <th>train_x_ratio</th>\n",
       "      <th>train_mof_ratio</th>\n",
       "      <th>train_y_ratio</th>\n",
       "      <th>test_kl_ratio</th>\n",
       "      <th>test_x_ratio</th>\n",
       "      <th>test_mof_ratio</th>\n",
       "      <th>test_y_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>745.308038</td>\n",
       "      <td>0.233533</td>\n",
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       "      <td>0.319639</td>\n",
       "      <td>0.240986</td>\n",
       "      <td>0.961102</td>\n",
       "      <td>139.310165</td>\n",
       "      <td>0.692340</td>\n",
       "      <td>288.659576</td>\n",
       "      <td>...</td>\n",
       "      <td>13.210456</td>\n",
       "      <td>0.764378</td>\n",
       "      <td>0.025241</td>\n",
       "      <td>0.974759</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030927</td>\n",
       "      <td>0.969073</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>262.612716</td>\n",
       "      <td>0.107256</td>\n",
       "      <td>2.582864</td>\n",
       "      <td>0.146864</td>\n",
       "      <td>0.161108</td>\n",
       "      <td>0.998493</td>\n",
       "      <td>29.862459</td>\n",
       "      <td>0.985298</td>\n",
       "      <td>63.956322</td>\n",
       "      <td>...</td>\n",
       "      <td>66.798007</td>\n",
       "      <td>0.979493</td>\n",
       "      <td>0.266913</td>\n",
       "      <td>0.702866</td>\n",
       "      <td>0.014297</td>\n",
       "      <td>0.015924</td>\n",
       "      <td>0.318859</td>\n",
       "      <td>0.665738</td>\n",
       "      <td>0.014574</td>\n",
       "      <td>0.000829</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   epoch     test_kl    test_x   test_mof    test_y  test_loss    lcd-r2  \\\n",
       "0      0  745.308038  0.233533  13.844149  0.319639   0.240986  0.961102   \n",
       "1      1  262.612716  0.107256   2.582864  0.146864   0.161108  0.998493   \n",
       "\n",
       "      lcd-MAE    pld-r2     pld-MAE  ...    mof_acc   mean_r2  train_kl_ratio  \\\n",
       "0  139.310165  0.692340  288.659576  ...  13.210456  0.764378        0.025241   \n",
       "1   29.862459  0.985298   63.956322  ...  66.798007  0.979493        0.266913   \n",
       "\n",
       "   train_x_ratio  train_mof_ratio  train_y_ratio  test_kl_ratio  test_x_ratio  \\\n",
       "0       0.974759         0.000000       0.000000       0.030927      0.969073   \n",
       "1       0.702866         0.014297       0.015924       0.318859      0.665738   \n",
       "\n",
       "   test_mof_ratio  test_y_ratio  \n",
       "0        0.000000      0.000000  \n",
       "1        0.014574      0.000829  \n",
       "\n",
       "[2 rows x 42 columns]"
      ]
     },
     "metadata": {},
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    },
    {
     "data": {
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LPBYD87sThs2c858Afwz8hGqZ0pHA94HXdScMZZxNwEll/g+U9zOnvL/DRpswSJIkSZNB6ysN2jK80iBJkqSJMCZXGiRJkiQ9PZk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqdGIkoaImBoR50TE6oh4JCLWRMSFETF9pANHxOyI+ExE3BsRGyJiRUScFhHbNcRML+OtKeOvLvOZOlZzjohlEZENr7f3iJsTEZ+KiLsi4tGI+FlEXBQRu4/0s5EkSZImk8jMdg0jdgK+CxwB3A7cABxYXncAR2XmupZ97Q9cAzwL+D5wJ3AssAfwFWBhZm7qipkBXAfMAW4BVgDzgOcC1wPzM3PD5s45IpYBpwDfBO4dYvr/mJnf6Yo5HPgPoB9YWeZ2ADAXuBt4cWauafPZdIuIgb6+vr6BgYHRhEuSJEmt9Pf3Mzg4OJiZ/d11U0bQz5lUJ9+XAm/IzMcBIuIC4FRgCfDGln19iipheHdmLin9TAO+BSwA3gp8sivmfKqE4YLMXFRipgCXAAuBM8ocx2rO52Xm5cO9kYh4BvBPVAnDOcCZmZkREcAHy7z+AXjFcH1JkiRJk1GrKw0RsQNwHzAVmJWZa2t1OwJrgOnA3pk51F/n630dBVwLLM/MQ7rqDgVuAlZk5oG143sCdwG/APbNzEdrdTPL+OuBGZn52ObMuXal4aUtk4b5wOXAbcABmfnrWt12VFcd9gcOzcwfDNffEP17pUGSJEnjrulKQ9s9DUcDfcAV9ZNvgHICf1np64QWfZ1Yyi90V2TmzVTLiA6IiDm1qhNK/5fVE4YSsxb4Xpnf0eM05yaHlvKKesJQxvl1mRtUV1AkSZKkrU7bpOHgUt7Uo75z/KBx6muiYupeGxEfjYilEfHeiJjbo93OpfxVj/pfds1HkiRJ2qq03dMwq5R39ajvHN93nPqaqJi6U7t+XhwRFwGLOnsjivtK+Zwe/TxnmHpJkiRpUmubNEwr5foe9Q93tRvrviYqBuBmqjs7fZsqsdiDagnTh4B3ABuBd9Xad5YfnRgRu2dmJ4mg3G61sxxryM8mIobbrNA3TL0kSZI0rtouT4pS9to1HT2Oj1VfExVDZn4kMz+emasyc0Nm3pGZS6luCbsRODUiZtXarwS+TLVM6RsRcVRETCsbvr8O7FiabkKSJEnaCrVNGh4s5c496jsPV3tonPqaqJieMvMWqmdIbAcc31X9NuAqqk3R15axrwWeB5xV2gx5RSEz+5tewGCb+UmSJEnjpe3ypM6DyfbpUb93KX/Wsq9DS18/bNnXaMYfyzl3rCrlnvWDmfnLiDgG+B3gOGBX4CfA5/hNgvHjEYwjSZIkTRptk4blpTykR/1hpfxRy74WlL6+1rKv0Yw/lnPu2K2UD3dXZPXAi6+W1xMiopM0XD6CcSRJkqRJYyQPd1sHPBPYJzPXddWtAZ5d6u4Zpq8XU200vjkzD+uqOxj4AbAyM19QO75XGWMd1cPdNtbqdi91j1A93G3jWM+5xOxIdaVhFnBMZl7ZImYf4NYyt1mZ2WtTdlMfPtxNkiRJ426zH+5WTsSXAjsASyOifoViMbA7cHH95Dsizo2IlRHxzq6+rqVa739oRCyqtd8ZuLD8uKQr5m7gEmBmGa8TM6U2rwvrycQo5zw3It5UEgRqx2cAn6dKGJZT7V+gK27nrmOzgH+j2jtx2mgSBkmSJGkyaHWlASAipgJXAIcDq4EbgAOAFwE/BY7sut3oMuAU4OzMPKurr7nA1VTLfa4r8cdQ7RX4KrAgMzd1xcwsbWdTLSlaAcwD9gNuBI7tPjEfxZyPA74D3F/argP2KvG7UN2C9fjMvK1rnL8B/rTM426q5OYlVHdOOi8z39/zgx2GVxokSZI0ETb7SgNAOSGfD5xX4hYC04GPAfPqJ98t+lpJtafgc8Ac4DVUdwk6HTipO2EoMWupkoSLyrgLyzwWA/OH+kv+KOZ8G3A+1ZKiFwGvL2OuAs4GDupOGIpvAt8Fng+cXGK/Bbx8cxIGSZIkaTJofaVBW4ZXGiRJkjQRxuRKgyRJkqSnJ5MGSZIkSY1MGiRJkiQ1MmmQJEmS1MikQZIkSVIjkwZJkiRJjUwaJEmSJDUyaZAkSZLUyKRBkiRJUiOTBkmSJEmNTBokSZIkNTJpkCRJktTIpEGSJElSI5MGSZIkSY1MGiRJkiQ1MmmQJEmS1MikQZIkSVIjkwZJkiRJjUwaJEmSJDUyaZAkSZLUyKRBkiRJUiOTBkmSJEmNTBokSZIkNTJpkCRJktTIpEGSJElSI5MGSZIkSY1MGiRJkiQ1MmmQJEmS1MikQZIkSVIjkwZJkiRJjUwaJEmSJDUyaZAkSZLUyKRBkiRJUiOTBkmSJEmNTBokSZIkNRpR0hARUyPinIhYHRGPRMSaiLgwIqaPdOCImB0Rn4mIeyNiQ0SsiIjTImK7hpjpZbw1ZfzVZT5Tx2rOEbEsIrLh9faG9/PxiLgjIjZGxIMRcX1E/EVEbD/Sz0eSJEmaLCIz2zWM2An4LnAEcDtwA3Bged0BHJWZ61r2tT9wDfAs4PvAncCxwB7AV4CFmbmpK2YGcB0wB7gFWAHMA54LXA/Mz8wNmzvniFgGnAJ8E7h3iOn/Y2Z+pyvmQOB7wG7AKmA5sAtwDDAV+BZwQvd7aiMiBvr6+voGBgZGGipJkiS11t/fz+Dg4GBm9nfXTRlBP2dSnXxfCrwhMx8HiIgLgFOBJcAbW/b1KaqE4d2ZuaT0M43q5HoB8Fbgk10x51MlDBdk5qISMwW4BFgInFHmOFZzPi8zL2/5fj5MlTAsBt6fJROLiL2Aq4BXACcD/9qyP0mSJGnSaHWlISJ2AO6j+qv5rMxcW6vbEVgDTAf2zsyh/jpf7+so4FpgeWYe0lV3KHATsCIzD6wd3xO4C/gFsG9mPlqrm1nGXw/MyMzHNmfOtSsNL22bNETEQ2WcXTPzoa6604FzgQ9n5mlt+uuK90qDJEmSxl3TlYa2exqOBvqAK+on3wDlBP6y0tcJLfo6sZRf6K7IzJuplhEdEBFzalUnlP4vqycMJWYt1dKgvjLP8ZjzcB4dvgm/GoNxJEmSpAnXNmk4uJQ39ajvHD9onPqaqJi610bERyNiaUS8NyLm9mgH8B9AAGdGRHQOluVJf0qVVFzcEC9JkiRNWm33NMwq5V096jvH9x2nviYqpu7Urp8XR8RFwKLO3oia91AlKe+jSjZ+QLUR+liqzdQnZuYdPcaRJEmSJrW2ScO0Uq7vUf9wV7ux7muiYgBuprqz07epEos9qJYwfQh4B7AReFc9IDPXRMSxwBeplkU9v1RtoroKsaLHHIiI4TYr9A1TL0mSJI2rtsuTOktueu2ajh7Hx6qviYohMz+SmR/PzFWZuSEz78jMpVRXDTYCp0bErCd1FHE41W1W+4CXAbtS3enpHOCPgCsj4tk95iFJkiRNam2ThgdLuXOP+s7D1R7qUb+5fU1UTE+ZeQvVMyS2A47vHC93abqEajnSCZn5ncx8MDPvzMwPABdSPUviPT367W96AYNt5idJkiSNl7ZJw5pS7tOjfu9S/myc+pqomOGsKuWetWMvpkoKrsnMnw8R03k2w/wRjCNJkiRNGm2ThuWlPKRH/WGl/NE49TVRMcPZrZQP1451ko8HesR0rhTs1qNekiRJmtTaJg1XUp0Uz4+IGfWKsjzn1VSbfr/eoq+vlfJ13RURcTCwH7AyM2+vVX2j9L+gjFeP2R04pszvynGac+eBcJ1nTNRv49p5MNyhEbHdEKFHlvKnbcaRJEmSJptWSUNmbgSWAjsASyOiftelxcDuwMWZeU/nYEScGxErI+KdXX1dS/VE6EMjYlGt/c5U6/8BlnTF3E21b2BmGa8TM6U2rwvLPDdnznMj4k0lQaB2fAbwearbuC4HrqpVXwOso9r4/MGIeEYt7gXA/y4/XookSZK0FYrMXjcX6moYMRW4AjgcWA3cABwAvIjqr+hHZuZ9tfbLgFOAszPzrK6+5gJXUy3Zua7EH0O1V+CrwILM3NQVM7O0nU21pGgFMI/qysSNwLGZub4rZqRzPg74DnB/absO2KvE70J1C9bjM/O2rnFOpkoqplA90fpmYDrw21RJy38Av5OZj/X4eHuKiIG+vr6+gYHh7swqSZIkjV5/fz+Dg4OD5WY8T9J2eRLlhHw+cF6JW0h1YvwxYF795LtFXyup9hR8juov9K+hWvt/OnBSd8JQYtZSJQkXlXEXlnksBuZ3JwyjnPNtwPnArVSJxevLmKuAs4GDuhOGMs4XqTZEXww8s7yfeVRXJd5FdVelEScMkiRJ0mTQ+kqDtgyvNEiSJGkijMmVBkmSJElPTyYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJajSipCEipkbEORGxOiIeiYg1EXFhREwf6cARMTsiPhMR90bEhohYERGnRcR2DTHTy3hryviry3ymjtWcI2JZRGTD6+1DxDS177w+NdLPSJIkSZoMprRtGBE7AZcDRwC3A18GDgTeAZwQEUdl5rqWfe0PXAM8C/g+cCdwLLAYeElELMzMTV0xM4DrgDnALcDVwDzg/cDLI2J+Zm4Ywzl/E7h3iOO3DnHsHxve7uuAnYErG9pIkiRJk1brpAE4k+rk+1LgDZn5OEBEXACcCiwB3tiyr09RJQzvzswlpZ9pwLeABcBbgU92xZxPlTBckJmLSswU4BJgIXBGmeNYzfm8zLy8zZvJzDcPdTwingP8IfAI8IU2fUmSJEmTTWTm8I0idgDuA6YCszJzba1uR2ANMB3YOzOH+ut8va+jgGuB5Zl5SFfdocBNwIrMPLB2fE/gLuAXwL6Z+WitbmYZfz0wIzMf25w5R8Qy4BTgpW2Thob3egbwIeBfM/N/jLKPgb6+vr6BgYHNmYokSZLUqL+/n8HBwcHM7O+ua3ul4WigD/jP+sk3QGY+GhGXUV0dOAH49DB9nVjKp/zlPTNvjojbgQMiYk5m3lGqTqDaf3FZPWEoMWsj4nvAy8o8vzMOcx6t3y/lP41T/+Pq7Mt+zIq7H9jS05AkSXraOWCvXfmrVx84fMMJ0jZpOLiUN/Wov4nqBPygMerruaWvTtLQJuZlJaaTNGzunF8bEScD25V5XJaZK3u0fYpy1eQA4FfA19vGTSYr7n6A6+741ZaehiRJkrawtknDrFLe1aO+c3zfcepromLqTu36eXFEXAQs6uyNGMYflPKSzpKprc0Be+26pacgSZL0tDTZzsPaJg3TSrm+R/3DXe3Guq+JigG4merOTt+mSiz2oFrC9CGquy5tBN7Vo08AIuIZwO+WHxuXJkXEcJsV+oapHzeT6ZKYJEmStpy2z2mIUvbaNR09jo9VXxMVQ2Z+JDM/npmrMnNDZt6RmUupbgm7ETg1ImYNFVtzHLA31a1krx6mrSRJkjSptU0aHizlzj3qOw9Xe2ic+pqomJ4y8xbgK1R7HI4fpnlnadLncpjbU2Vmf9MLGGwzP0mSJGm8tE0a1pRynx71e5fyZ+PU10TFDGdVKTQbcaQAAB8SSURBVPfs1aDczvXk8uNWedckSZIkqa5t0rC8lIf0qD+slD8ap74mKmY4u5Xy4YY2r6Lah3DjSO62JEmSJE1WbZOGK4EHgPkRMaNeUR6i9mpgE+1uLfq1Ur6uuyIiDgb2A1Zm5u21qm+U/heU8eoxuwPHlPldOU5z7lxB6DxjotdtXOE3S5O8yiBJkqRtQqukITM3AkuBHYClEVG/69JiYHfg4sy8p3MwIs6NiJUR8c6uvq6leiL0oRGxqNZ+Z+DC8uOSrpi7gUuAmWW8TsyU2rwuLPPcnDnPjYg3lQSB2vEZwOepbuO6HLhqqM8pIvqB3wF+XdpLkiRJW70YZp/ubxpGTAWuAA4HVgM3UD287EXAT4EjM/O+WvtlwCnA2Zl5Vldfc6nuKrQbcF2JP4Zqr8BXgQWZuakrZmZpO5tqSdEKYB7VlYkbgWMzc31XzEjnfBzVw+HuL23XAXuV+F2obsF6fGbe1uMz+iPg74FvZeYrh/4kRyYiBvr6+voGBoa7M6skSZI0ev39/QwODg6Wm/E8SdvlSZQT8vnAeSVuITAd+Bgwr37y3aKvlVR7Cj4HzAFeQ3WXoNOBk7oThhKzlipJuKiMu7DMYzEwvzthGOWcbwPOB26lSixeX8ZcBZwNHNQrYShcmiRJkqRtTusrDdoyvNIgSZKkiTAmVxokSZIkPT2ZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKnRiJKGiJgaEedExOqIeCQi1kTEhRExfaQDR8TsiPhMRNwbERsiYkVEnBYR2zXETC/jrSnjry7zmTpWc46IZRGRDa+3DzPWByLihxHxcEQMlv/+SERsP7JPSJIkSZocIjPbNYzYCfgucARwO3ADcGB53QEclZnrWva1P3AN8Czg+8CdwLHAHsBXgIWZuakrZgZwHTAHuAVYAcwDngtcD8zPzA2bO+eIWAacAnwTuHeI6f9jZn5niPe0D/Bt4PnAz8r7eiYwF3gesEtmPjTcZzNEvwN9fX19AwMDIw2VJEmSWuvv72dwcHAwM/u766aMoJ8zqU6+LwXekJmPA0TEBcCpwBLgjS37+hRVwvDuzFxS+pkGfAtYALwV+GRXzPlUCcMFmbmoxEwBLgEWAmeUOY7VnM/LzMvbvJkyj8uoEobTgQ/Xk56IOBR4pE1fkiRJ0mTT6kpDROwA3AdMBWZl5tpa3Y7AGmA6sHdmDvXX+XpfRwHXAssz85CuukOBm4AVmXlg7fiewF3AL4B9M/PRWt3MMv56YEZmPrY5c65daXjpCJKGtwMXAZ/JzFPaxLTllQZJkiRNhKYrDW33NBwN9AFX1E++AcoJ/GWlrxNa9HViKb/QXZGZN1MtIzogIubUqk4o/V9WTxhKzFrge2V+R4/TnIfzx6X8v2PQlyRJkjSptE0aDi7lTT3qO8cPGqe+Jiqm7rUR8dGIWBoR742IuUM1iohdgUOBX2bm8oh4aUR8OCIuioh3R8TePfqXJEmStgpt9zTMKuVdPeo7x/cdp74mKqbu1K6fF0fERcCizt6I4gVAAKsi4tPAm7viPhQRb8vMf+kxjiRJkjSptb3SMK2U63vUP9zVbqz7mqgYgJuBtwP7U+2HeC7w58AA8A7gw13tdyvlPKq9EB+iSkT2BE4Dtgf+MSIOYQgRMdD0olpiJUmSJG0xbZOGKGWvXdPR4/hY9TVRMWTmRzLz45m5KjM3ZOYdmbmU6pawG4FTI2JWLaTzXIkpwKcz8wOZuSYz783MD1Pd9Wl74L095iFJkiRNam2ThgdLuXOP+s7D1do8h2A0fU1UTE+ZeQvVMyS2A44fYhyAZUOEfqqU83v029/0AgbbzE+SJEkaL22ThjWl3KdHfWez78/Gqa+JihnOqlLuWTtWj79ziJjOsd1HMI4kSZI0abRNGpaXcsh1+cBhpfzROPU1UTHD6exfeLh27KdU+x3q9XXPGiJGkiRJ2mq0TRquBB4A5kfEjHpFeYjaq4FNwNdb9PW1Ur6uuyIiDgb2A1Zm5u21qm+U/heU8eoxuwPHlPldOU5z7jwQrvOMiSdu45rV0/E67+m4IUI7y5JubjOOJEmSNNm0ShoycyOwFNgBWBoR9Vu1LqZaenNxZt7TORgR50bEyoh4Z1df11I9EfrQiFhUa78zcGH5cUlXzN3AJcDMMl4nZkptXheWeW7OnOdGxJtKgkDt+Azg81S3cV0OXNX1Ef0t1Ybr90fEAbW4OcAHy49/jyRJkrQViuoP5S0aRkwFrgAOB1YDNwAHAC+iWqJzZGbeV2u/jOoWpGdn5lldfc0FrqZaznNdiT+Gaq/AV4EFmbmpK2ZmaTubaknRCqrbnO4H3Agcm5nru2JGOufjgO8A95e264C9SvwuVM92OD4zbxvi8zmD6narG6iSiseBl5S4z2TmKUN+sMOIiIG+vr6+gYGB4RtLkiRJo9Tf38/g4OBguRnPk7RdnkQ5IZ8PnFfiFgLTgY8B8+on3y36Wkm1p+BzwBzgNVR3CTodOKk7YSgxa6mShIvKuAvLPBYD87sThlHO+TaqW6TeSpVYvL6MuQo4GzhoqIShjPXXwGupEpgXU92i9VbgT3jqA98kSZKkrUbrKw3aMrzSIEmSpIkwJlcaJEmSJD09mTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSpkUmDJEmSpEYmDZIkSZIamTRIkiRJamTSIEmSJKmRSYMkSZKkRiYNkiRJkhqZNEiSJElqZNIgSZIkqZFJgyRJkqRGJg2SJEmSGpk0SJIkSWpk0iBJkiSp0YiShoiYGhHnRMTqiHgkItZExIURMX2kA0fE7Ij4TETcGxEbImJFRJwWEds1xEwv460p468u85k6VnOOiGURkQ2vtw8Rc9YwMeeN9PORJEmSJospbRtGxE7A5cARwO3Al4EDgXcAJ0TEUZm5rmVf+wPXAM8Cvg/cCRwLLAZeEhELM3NTV8wM4DpgDnALcDUwD3g/8PKImJ+ZG8Zwzt8E7h3i+K0Nb+0q4CdDHL+xIUaSJEma1FonDcCZVCfflwJvyMzHASLiAuBUYAnwxpZ9fYoqYXh3Zi4p/UwDvgUsAN4KfLIr5nyqhOGCzFxUYqYAlwALgTPKHMdqzudl5uUt30/HJzNz2QhjJEmSpEmt1fKkiNgB+HPgMeAdnZPv4r3AOuD3ImKPFn0dBbwEWN5JGAAy86EyBsC7umL2BH4XuA84rRbzOPBnZV7vjIjtx2POkiRJ0tNZ2z0NRwN9wBWZubZekZmPApeVvk5o0deJpfxCd0Vm3ky1jOiAiJhTqzqh9H9ZGa8esxb4Xpnf0eM0Z0mSJOlpq23ScHApb+pR3zl+0Dj1NVExda+NiI9GxNKIeG9EzO3Rru5lEbEkIj4WEWdGxOEtYiRJkqRJre2ehlmlvKtHfef4vuPU10TF1J3a9fPiiLgIWNS11KnuTV0/fzAivgi8uSy/kiRJkrY6ba80TCvl+h71D3e1G+u+JioG4Gbg7cD+wFTguVR7Iwao7rr04SH6+gnwHqo7M02jSlj+APg5cDLw2R5zICIGml5US6wkSZKkLabtlYYoZQ5TP159TVQMmfmRrkN3AEsj4gqqW6eeGhH/NzPX1GL+qSvmYeCfI+I7wI+AkyLiv2XmNT3mIkmSJE1aba80PFjKnXvUdx6u1mYJzmj6mqiYnjLzFuArwHbA8S1j7gE+XX58ZY82/U0vYLDNWJIkSdJ4aZs0dP6qvk+P+r1L+bNx6muiYoazqpR7jnOMJEmSNGm0TRqWl/KQHvWHlfJH49TXRMUMZ7dSPtzYavNjJEmSpEmjbdJwJfAAMD8iZtQrykPUXg1sAr7eoq+vlfJ13RURcTCwH7AyM2+vVX2j9L+gjFeP2R04pszvynGaMxGxI795xkSv27h2xwTV06pbx0iSJEmTTaukITM3AkuBHag2Bdc3UC8GdgcuLmv4AYiIcyNiZUS8s6uva4FrgUMjYlGt/c7AheXHJV0xdwOXADPLeJ2YKbV5XVjmuTlznhsRbyoJArXjM4DPU90VaTlwVb0uIv48InbpipkGXAQcBdwLXIokSZK0FYrMXjcX6moYMRW4AjgcWA3cABwAvAj4KXBkZt5Xa78MOAU4OzPP6uprLnA11dKd60r8MVTr/r8KLMjMTV0xM0vb2VRLilYA86iuTNwIHJuZ67tiRjrn44DvAPeXtuuAvUr8LlTPdjg+M2+rxTyH6g5LDwHXA/cAM6iWP02nulXrqzLziURjJCJioK+vr29gYGA04ZIkSVIr/f39DA4ODpab8TxJ2+VJlBPy+cB5JW4h1Unxx4B59ZPvFn2tpDqp/hwwB3gN1V2CTgdO6k4YSsxaqiThojLuwjKPxcD87oRhlHO+DTgfuJUqsXh9GXMVcDZwUD1hKH5Z5nAj1bMdTgZeQnV14W+BF442YZAkSZImg9ZXGrRleKVBkiRJE2FMrjRIkiRJenoyaZAkSZLUyKRBkiRJUiOTBkmSJEmNTBokSZIkNTJpkCRJktTIpEGSJElSI5MGSZIkSY1MGiRJkiQ1MmmQJEmS1MikQZIkSVIjkwZJkiRJjUwaJEmSJDUyaZAkSZLUyKRBkiRJUiOTBkmSJEmNTBokSZIkNTJpkCRJktTIpEGSJElSI5MGSZIkSY1MGiRJkiQ1MmmQJEmS1MikQZIkSVIjkwZJkiRJjUwaJEmSJDUyaZAkSZLUyKRBkiRJUiOTBkmSJEmNTBokSZIkNTJpkCRJktTIpEGSJElSI5MGSZIkSY1MGiRJkiQ1MmmQJEmS1MikQZIkSVKjESUNETE1Is6JiNUR8UhErImICyNi+kgHjojZEfGZiLg3IjZExIqIOC0itmuImV7GW1PGX13mM3Ws5hwRyyIiG15vb/n+vlGLeXabGEmSJGkymtK2YUTsBFwOHAHcDnwZOBB4B3BCRByVmeta9rU/cA3wLOD7wJ3AscBi4CURsTAzN3XFzACuA+YAtwBXA/OA9wMvj4j5mblhDOf8TeDeIY7f2uL9/T7wSiCBGK69JEmSNJm1ThqAM6lOvi8F3pCZjwNExAXAqcAS4I0t+/oUVcLw7sxcUvqZBnwLWAC8FfhkV8z5VAnDBZm5qMRMAS4BFgJnlDmO1ZzPy8zLW76fJ0TEbqXffwf2B2aPtA9JkiRpMonMHL5RxA7AfcBUYFZmrq3V7QisAaYDe2fmUH+dr/d1FHAtsDwzD+mqOxS4CViRmQfWju8J3AX8Atg3Mx+t1c0s468HZmTmY5sz54hYBpwCvHSUScM/AH8AvIgqcZhd5vWLkfZV+hvo6+vrGxgYGE24JEmS1Ep/fz+Dg4ODmdnfXdd2T8PRQB9wRf3kG6CcwF9W+jqhRV8nlvIL3RWZeTPVMqIDImJOreqE0v9l9YShxKwFvlfmd/Q4zbmViJgPvIXqKsWqsepXkiRJ2pLaJg0Hl/KmHvWd4weNU18TFVP32oj4aEQsjYj3RsTcHu2AJ65efBxYDZzb1FaSJEnamrTd0zCrlHf1qO8c33ec+pqomLpTu35eHBEXAYs6eyO6/E/gt4BXdF8NkSRJkrZmbZOGaaVc36P+4a52Y93XRMUA3Ex1Z6dvUyUWe1AtYfoQ1V2XNgLvqgeUqxCnAxdn5r/3GG9IETHcZoW+kfQnSZIkjbW2y5M6tw3ttWt6JLcVHU1fExVDZn4kMz+emasyc0Nm3pGZS6luCbsRODUiZj3RSUQAnwAeoSuZkCRJkrYFbZOGB0u5c4/6zsPVHhqnviYqpqfMvAX4CrAdcHyt6m3AMcCZmXlPm766+u1vegGDI+1TkiRJGkttlyetKeU+Per3LuXPWvZ1aOnrhy37Gs34Yznnjs4dkfasHXtVKf9HRJzc1X6PUn45Ih6jSiyuHMF4kiRJ0hbXNmlYXspDetQfVsoftexrQenray37Gs34Yznnjt1K+fAQdUcPcazjt0v57BGM1bHr4OAg/f1PuV2uJEmSNGYGBwcBdh2qbiQPd1sHPBPYJzPXddWtoToh3me4JToR8WKqjcY3Z+ZhXXUHAz8AVmbmC2rH9ypjrKN6uNvGWt3upe4RqoeobRzrOZeYHamuNMwCjmlzxSAi7mTzH+72ONUysgdGE7+ZOpuwXSI1ufi9TE5+L5OX383k5PcyOfm9TE4T9b3sCmzKzKdcWGh1pSEzN0bEUqo7BC2NiN+r3XZ0MbA78C/1k++IOBdYCPxdZv5dra9rI+Ja4MURsSgzP1La7wxcWJot6Rr/7oi4BPjdMt67SswUYCmwA/C39WRilHOeCxwBXNL11OkZVJudZ1Fdwbiqzec2Fob60iZK585OQz0VUFuO38vk5PcyefndTE5+L5OT38vkNBm+l1ZXGgAiYipwBXA41QPMbgAOAF4E/BQ4MjPvq7VfBpwCnJ2ZZ3X1NRe4mmq5z3Ul/hiqvQJfBRZk5qaumJml7WyqJUUrgHnAfsCNwLGZub4rZqRzPg74DnB/absO2KvE70J1C9bjM/O2lp/ZnWzmlYYtaTL8guqp/F4mJ7+XycvvZnLye5mc/F4mp8nwvbS9exLlhHw+cF6JWwhMBz4GzKuffLfoayXVnoLPAXOA11BdbjkdOKk7YSgxa6mShIvKuAvLPBYD87sThlHO+TbgfOBWqsTi9WXMVcDZwEFtEwZJkiRpW9H6SoOefiZDVqun8nuZnPxeJi+/m8nJ72Vy8nuZnCbD99L6SoMkSZKkpyeTBkmSJEmNTBokSZIkNTJpkCRJktTIjdCSJEmSGnmlQZIkSVIjkwZJkiRJjUwaJEmSJDUyadCTRMTUiDgnIlZHxCMRsSYiLoyI6Vt6btuy8rkvjIhPR8SPIuLBiHgoIm6MiPdExA494qZExHsjYkVEbIiIeyPisxExe6Lfw9NFRPSXzzkj4paGdm+LiJsiYn1E/CIivhQRB03kXJ8uImLfiLgoIu4o/26ti4grI+LPh2jrv3ETICKOjoh/i4i1EfFYRPwyIr4VEQt6tPd7GSMRcXhEnB4Rl0bEz8u/VQ8NEzOq/y/x37n2RvK9RMT2EfHKiFhaPt/7y2d8S0R8MCJ2HWascfle3AitJ0TETsB3gSOA24EbgAPL6w7gqMxct+VmuO2KiD8C/r78+GNgBbAr8NvALsB1wMsz86FazDOALwELgHuA7wHPAY4EfgW8ODNXTdBbeNqIiE8AfwQE8OPMfOEQbT4KvBMYAP4TeDZwLPAo1fd41cTNeNsWES8DvgxMA34ArKT6vA8C1mTmvFpb/42bABHxRuAzVP8buQ64E9iH6t+zAD6QmR+qtfd7GUMR8W/Aa7oOP5yZ03q0H9X/l/jv3MiM5HuJiJcD/15+XA0sB7YH/hvV57waOCYz7xkidvy+l8z05YvMBPhrIIEvAlNqxy8ox/9pS89xW30BfwgsBZ7fdXxP4Kby+S/uqvvjcvxqYFrt+LvL8Su39Pva1l7A0cAm4BPlM75liDb/vdTdBsysHT+5HL8D2H5Lv5dt4QXMBh4EHgBe0VW3HXBY1zH/jRv/72RH4H7g18CruurmAxuBx4A9/V7G7Tt4H3A28CpgZvkMH2poP+L/L/HfufH9XoCXAf8MHNp1vA/4Rom9eKK/ly3+IfqaHC9gB6qsdGP9F63U7QjcV/5PYI8tPden24vqLwsJ3NF1/L/K8UOHiFle6o7Y0vPfVl7lfyMryue+f0PS8PVSd9IQdV/+/9u7/1C/6jqO48/XvMkwJO+YUWmli8r1w6mJRkVbFGGbKf5i1Brc7LcFFhj9YIFF9MNgC6tVEMRwYFLM8lJiKa6x0JposSwjtKwZZeZaYdv80bs/3p+znX37nu+9+3bPOXHv6wFfPtzz+Zzt3PO+3885n3M+P0reZX3/PvPhA3yrnM+3zzJ+ruPaj8nZJSa7GvKrG57VjktnMZmp0XDU1xLXc+3HZcR+zy77HgCO7TIuHtNgldeQLdgdEfGXekZEHASmyTEwb+rh2Ba6X5T0OdUGScuA04D7I+KeIft8p6Tnt3xsC8lHgeXAFeQNzn8p3SxeB+wHvj+kiOMyRyQtAS4GHgGum8UuruO6cXCW5R4tqePSo3GuJa7n+hXZJemvZKP60JifLuLiRoNVVpT07ob8arsHOHVvWUnrF1THq0OSXgR8HLguIm4fUfQ0siL/ZUQ8MSTfcZk7ryb7+P4YWCRpnaQvSbpW0pSk4wbK+zvTjfuAPcBZko64OZG0kux28WtgV9nsuPRrnPPveq5Hkk4AJslufntrWa3HZWLcHW3eeW5J9zTkV9uf18Gx2JGuLOl0bZvj1a2vk09vrpqhnOPSnZeU9G/AncCZA/mfkrQmInaXnx2bDkTEE5KmyIG105LuBB4ETiIbejuB9RHxVNnFcenXOOffMevX+8n79x9ExIHa9tbj4jcNVqlG7/+rIf+xgXLWAUmrgXcA+4DP1LIcr45IuhxYBXwsIh6eobjj0p3Jkl4OvABYDywhx5tsJS+g07U3Do5NRyLiNuD1wEPAK4G1ZDekfcAtwJ9qxR2Xfo1z/h2znkg6E9hAvmXYMJDdelzcaLCKSto0B68atltLJC0nb34EvCciHqpnl9TxapGkE4EvAD8jZ0yacZeSei7r9h1T0gngAxGxNSL2RsRvI2I92f3l+cC6Us7fmY6UNw0/IadbPZ28STkd2A58msN9q8Fx6ds459/1XA8kPQvYBiwGNgwZg9J6XNxosMo/S/r0hvzqad3IBWJsbkg6mZxlZJJ8wn3DQBHHqxubyEGa742If8+i/ExxqbY7Lv+76lw/Tk5NOOibJV05UN7fmRZJejG55sxucpaW3RHxWOkmdilwD3CBpPPKLo5Lv8Y5/67nOlYWc7uZXD/jaxFxzZBircfFYxqs8seSntyQf1JJ/9DBsSxokpYCPyT7HW6MiM8NKeZ4deN88lXvJumIB26LS3qqpO21so5Ld6pzuKfWP77u9yV9Zkkdm26sJe8ttg02tCPiKUk3kuNPVpIPRhyXfo1z/h2zDpVZkaaBM4Bvk2Mahmk9Lm40WKWa1vOMhvyzSrq7Id/mgKTjyacJy4EtNA+8dby6czyHn1YPOq6WN0HOHPM48FJJTxsyg4XjMneq78BkQ/6Sklb9eP2d6UZ1Y/KPhvx9Ja3i5rj0a5zz73quI5ImyIbCa4FbgbeNeOvdelzcPckqO8lKfmXpx32IpGOBN5Mr4d7cw7EtCJIWAzeRiyPdBLwzyoosgyLiAeA3wAslrRhS5JKSDpur2WYpIk6ICA1+gFNLkXtr2/8eEfuB28nGxOoh/6TjMnd+Ts4GMilp2BSCVWOu6vfrOq4bfy7p2Q3555T0wZI6Lj0a51rieq4bytfbW4A15PigiyJi6BpB0E1c3GgwAMof4mZydc7NpXVb+Tz5iv+GsqiIzTFJxwDXk7P0bAfWRsSTM+y2qaRfkXSoD6OkD5JPje6IiJ/O/dHaDKq4XCOp6hqDpIuAC8mbpRv7OLD5pDSoN5YfvyzpGVWepDcAU+RTty2lvOu4blRTQ68bsk7DxcBbyIGa3wXH5f/EONcS13PtuxZ4K/ArcgX12YxFaDUuaniQaQtQmZpwB/AK4H7gLnIu9JeTf2jnzGLKSRuDpCuBL5Yft3F4QNMRImKqts8i8o3EGnIKw53kbDHnkgu+vCoi7mvvqBcuSacAvyPfNLxsSP5m4H1kHG4jV+1cRd7EvjEidnR1rPNZucGcBs4DHgbuAJaS03wuAt4dEd+olXcd1wFJG4EPlR/vIr8ry8jzDvDJiLi6Vt5xmUOS1gCfqG06l3xbs6u27YqIuLuUH+ta4nru6BxNXCRdSGlYk2McmxrNV0XEIwP/T3txiQh//Dn0IUfXfxZ4ADhIzrP9VWBp38c2nz/A1eTTt5GfIftNAB8hV1g9QK4avRU4pe/faT5/yBksglx5s6nMu8iuMfuBR4HvASv6Pvb59infgQ8D95ZzvZccYLuqobzruG7icinwI3LxvSdLegtwgePS+rmfmsX1ZNXAPmNdS1zPtROXWZaNpvi0FRe/aTAzMzMzs5E8psHMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEZyo8HMzMzMzEb6D8NWVkpShjRrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Vl112GT//+c/3Or5hw4YwRNW5ujRJN8bMAu5osTvVGPNxyONrrLWhixfdC5wIfAcYb4xZAowCDgeKgB91YchhMyw/k+0repBhSvCWbSE61sISERER6X5lZWVA6yUqb775JtXV0d9jpKvH9fOAo0Juja8Zum+PQidrbS0wA/hV8NyzgFzgCeBIa+2OzgjMWjuz5Y0wdo05ND+D7cEOL57dba3lJCIiIiLDhg0D4KWXXqKiormDdnFxMTfccEO4wupUXTqSbq2dDcw+gOfVALcEb3FhWH4mHwc7vLiqteqoiIiISFtmzJjB5MmT+fjjjzn00EM5+uij8Xg8vPfee0yZMoX09HSWLVsW7jAPSmRVyHcjY8y8ljfCWJNekJ1CuctJ0lM8OyEQCFcoIiIiIhHNGMPcuXP50Y9+REZGBm+88QZffvklN954I2+88UbTqqTRzHRk1mssaWPi6PTs7Gz3vlr5dKWnH/kZl1c/6Tz4yVrIyAtLHCIiInLgioqKABg4cGCYI5FwaO+ff05ODhUVFRXBVe/3ElHdXbpTJLVgbJTSs39TVbyt3IJRki4iIiISl+K23CUSZec3f+Mq37FpH2eKiIiISCyL25H0SOuTDtCn3yBY7NzfuXUjPdpad1VEREREYppG0iPIwIGDCFhnGaPqncVhjkZEREREwiVuR9IjsSY9LyeDUpNFLyrwlW8NVxgiIiIiEmYaSY8gxhgqE3oB4K5Rr3QRERGReKUkPcJ40/IByPDsJF7bY4qIiIjEOyXpEcZk9QUgj1K2VtSHORoRERERCYe4rUmPxO4uAKm5A2Az9DTVzNu6i345A8IdkoiIiIh0M42kR5iefQqb7m8t3hDGSEREREQkXOJ2JD0Su7sAZPRqTtJ3bysKYyQiIiIiEi4aSY80WQVNd2tKN4cxEBEREREJFyXpkSazOUm3FVsJBNThRURERCTeKEmPNKk98LuSAOgZKGVzWV2YAxIRERE5MMaYDt1mzpwZ7pAjRtzWpEdqdxeMoSGtD+7qYvqY3Xy1vYrC3LRwRyUiIiLSYZdccsle+xYuXMi6deuYNm0aQ4cO3ePYiBEjuiWuXr16UV9fT3V1dbe83oGI2yQ9kiXkFEB1MfmmjE93VHHCqPxwhyQiIiLSYbNnz95r36WXXsq6deu4/PLLufTSS7s9pmgRt0l6pHZ3AUjI7gebIZ8yvtpWFe5wRERERKSbqSY9EgVXHe1jditJFxERkbj13nvvccYZZ5CXl0dycjKDBw/mJz/5CWVlZXudW15ezp133sno0aPJysoiKyuLQw89lAsvvJAPP/wQgNdffx1jDKWlpdTU1OxRD3/66ad399vbp7gdSY9owQ4vKaaBHbu24w9Y3C4T5qBEREREus8DDzzArbfeSlJSEhMnTqSgoIBly5bx61//mtdff50PPviA3NxcALxeL8cccwwrVqxg0KBBnHDCCbjdboqLi/nHP/7BgAEDmDp1KgMGDOCSSy7hhRdewO/3c+GFFza93rhx48L1VlulJD0SZfZputvTX8qGXTUM7R3+Oa0iIiIi3eGdd97htttuY/jw4cyZM4fhw4cDEAgEuPXWW3nwwQf52c9+xjPPPAPA22+/zYoVK7jooov461//ijHNg5u7du1i69atAIwdO5bZs2fz+uuvU19f32rNfKRQuUskCpa7gFPysqqkMozBiIiIiHSvBx54AGstf/3rX5sSdACXy8Uvf/lLhg0bxnPPPUdNTQ0AO3fuBGDGjBl7JOjgdHIZM2ZM9wXfSTSSHolCFjTKN2Ws2lrJN8b23ccTREREJKq8eTNsWxHuKNqnz+Fw6q+67eXq6+tZsGABBQUFTJo0aa/jbrebKVOm8NVXX7F8+XKmTp3KhAkTALj33nvJzs7m1FNPJSMjuqsQlKRHopByl3zK+Fwj6SIiIrFl2wooWhjuKCLS1q1baWhooKSkZK9R8ZYaR9DHjRvHPffcw913380555yD2+1mwoQJnHTSSVx22WUMGTKkO0LvVHGbpEfsYkYAiamQ2gPqyuhjdvOiknQREZHY0ufwcEfQft0cayAQACA3N3e/HVf69evXdP+OO+7goosu4pVXXuGdd95h4cKFLF68mIceeohnn32Wc889t0vj7mxxm6RHvMy+UFdGviljZ5WHHVX19M5MCXdUIiIi0hm6sXwk2hQUFOB2u8nKyurwxM5BgwZx4403cuONN+L1enn66ae57rrruOqqqzj77LNxuaJnOmb0RNrJrLUzW96AyFkbNljykm+cPqCrS9QvXURERGJfeno6U6dOZcOGDXz++ecHfJ2kpCSuueYahg4dSnl5OVu2bGk6lpiYiN/v74xwu0zcJukRL8uZPNonmKSv2qqSFxEREYkPt99+O8YYzj33XJYsWbLX8eLiYp544ommx2+//Tbz5s3DWrvHeatWraK4uJiUlJSmnuoAffv2pb6+nk2bNnXdmzhIKneJVJlON5depoIEfKxWXbqIiIjEiZNOOomHH36Yn/70p0yaNIlx48YxZMgQampqKCoqYvXq1fTt25errroKgMWLF3PHHXeQn5/PEUccQU5ODtu3b2f+/Pk0NDTwy1/+krS0tKbrz5o1i6VLlzJt2jSOPvpoUlNTGTt2LNdff3243vJelKRHquz+ALiw9DWlrCrJCXNAIiIiIt3npptuYvr06Tz66KPMnz+fL774guzsbPr3788Pf/hDzjnnnKZzv/Od71BTU8P777/P0qVL2b17N/n5+ZxwwgnccMMNnHzyyXtc+9Zbb6WqqoqXX36Zl156CZ/Px6xZsyIqSTctfy0Qz4wx5dnZ2dnl5eXhDgU2LIC/ODOav+v9OQvtWFbefQqpSe4wByYiIiL7UlRUBMDAgQPDHImEQ3v//HNycqioqKiw1rY6Equa9EiV29zPc6DZTsDCmu2aPCoiIiISD5SkR6qMPpCQCsAgsw3Q5FERERGReKEkPVK5XNBzMACD3TsANHlUREREJE4oSY9kPQcBcGjCdgBWKUkXERERiQtx293FGDOvld0Z3R3HPgVH0vMD23HjZ3VJJYGAxeUyYQ5MRERERLqSRtIjWXDyaIL1UWBKqfX6KdpdG+agRERERKSrxe1IurV2Zst9xphyILv7o2lDcCQdnMmjm21vVpdUMqhXehiDEhEREZGuppH0SLZHkh6sS1eHFxERkYhmjCEQCIQ7DAkTv9+PMQdfmqwkPZJl9oWEFADGpJUCmjwqIiIS6VJTU6mvr8fr9YY7FOlmXq8Xj8dDamrqQV9LSXokc7mgh9PhZXjSTkAj6SIiIpEuJ8dZQHLTpk3U1dWh1d1jn7WWuro6Nm3aBDT/DByMuK1Jjxo9B8PO1fS3JQBsq6xnd42XnulJYQ5MREREWpOYmEhhYSFbtmxh48aNuN1ukpKSOqUEQiKPtRav14vf78ftdlNYWEhiYuJBX1dJeqTLderSs+u34CJAABerSyqZNrRXmAMTERGRtqSnpzN48GBqamqoqanB5/NpRD1GuVwuMjIySE9PJz09nYSEzkmvlaRHuuDkUVeggb6mlM02j1VblaSLiIhEuoSEBLKzs8nOjpzGcRI9VJMe6XoOabo7JlWTR0VERETigZL0SBfShnFSdjmgyaMiIiIisU5JeqTL6gfuZABGJjsdXtburKa+wR/OqERERESkCylJj3QuF/R02jAWsg0Af8Dy9fbqcEYlIiIiIl0o6pN0Y8xpxphlxhiPMWajMebGcMfU6YIlLz09m5t2rVZduoiIiEjMiuok3RhzJDAHeAsYB9wF3G+MuSqccXW6YJKeVFlEarAfjyaPioiIiMSuLkvSjTFHGGNuNsa8bIzZYoyxxpj91mgYY9KMMfcbY9YZY+qNMZuMMY8ZY3JbOf1GYLG19mZr7Wpr7Wzgd8DPO/nthFcwSTd+L1PyPIBG0kVERERiWVeOpN8BPACcBfRtzxOMManAPOCW4K45QAVwDbDYGJPX4inTcEbRQ70FHGKM6X9gYUegkA4vk4MdXlaXVGpRBBEREZEY1ZVJ+kfAPcAZQJ92Pud2YCLwMjDcWnuutXY0zuj4IOC3Lc4vgOBsymbbQo7FhpAkfXSwV3plvY8t5XXhikhEREREulCXJenW2gettXdaa1+31m7f3/nGmCTgWqABuMZa6ws5/FNgJ3C+Maa9CX/sDDNn9wd3EgCDTPN3ktUlVeGKSERERES6UCRNHJ0OZAPzWyb11loP8BpOvKeGHCph71H6/OC25Qh79HK5occhAPRq2NK0W3XpIiIiIrEpkpL0scHt0jaON+4fE7LvA+DkFuedAhRZazcTS4IlL4nlG+nfIxVQki4iIiISqxLCHUCIAcFtW8l14/7CkH2/BT40xvwSeBaYBFwP/Li1CxhjyvcTQ3b7Qg2DnkOcbdkGRg3IYHNZndowioiIiMSoSBpJzwhua9s4XtPiPKy1i4EzgdOB5cC9wG3W2ie6KsiwCa46iq+eI3PrASgqraXa49vHk0REREQkGkXSSLoJbtua8Gla22mtfQN4oz0vYK3N2WcAzkh7ZI6m5w5pujsurRRwJpKu2VbJEQN7hikoEREREekKkZSkN7YqSW/jeFpwu98FkdrDGDOvld0ZreyLDCFtGIe4dwBOG/hVJVVK0kVERERiTCSVu2wKbttahKhfcFvcDbFEnqz+4EoEoGf9ZjKSne9Xq7aqLl1EREQk1kTSSPry4HZcG8cnBLcrOuPFrLUzW+6L6HIXd4LThrH0a0zZekb0OZUlRWXq8CIiIiISgyIpSV8IVAIzjDF51tqdjQeCCx2dAQSANzvjxaKu3AWckpfSr2H3ekb2zWJJURlrtlXhD1jcrlZL9kVEREQkCkVMuYu11gs8jjMj8nFjTOgXiAeB3sCL1tqScMQXERrr0ndvYFSB832irsFPUWnNPp4kIiIiItGmy0bSjTGzgDta7E41xnwc8vgaa23o4kX3AicC3wHGG2OWAKOAw4Ei4EedFV/UlbtAc4cXXx1jMpvnz64qqWRwXmT/EkBERERE2q8rR9LzgKNCbo2vF7ovK/QJ1tpaYAbwq+C5ZwG5wBPAkdbaHV0Yb+QraC7XP7RsPo0VLqpLFxEREYktXTaSbq2dDcw+gOfVALcEb10mKmvS+x/pTB4t20jSFy9ySK+7Wb+zhtUlVft9qoiIiIhEj4ipSZd2MAbGnu/cL1nGcT1LAY2ki4iIiMSauE3SrbUzW97opIWSutSYc5vunhp4H4CSinrKarzhikhEREREOlncJulRq+cgKJwCwOhdb+EiAGg0XURERCSWKEmPRmPPAyC5bjtTXSsBp8OLiIiIiMSGuE3SjTHzWt6I9ImjjUadCe5kAM5LWgigyaMiIiIiMSRuk/SolpoDI04D4ASziHTqNJIuIiIiEkO6rAVjpIvKxYxCjT0fVr5CivVwimsxr+6YgdcXIClB37tEREREop0yumg15DhIzwPgW+4FNPgtX21XyYuIiIhILFCSHq3ciXD42QBMca2iL7t4cv76MAclIiIiIp0hbpP0qJ442ijY5cVlLGe6P+C15Vv5tGh3mIMSERERkYMVt0l6TOgzBnqPAuDbCQsAyz2vrSIQsOGNS0REREQOStwm6VG74mgoY5pG04eYrUx3fcHyzRX8e9mWMAcmIiIiIgcjbpP0mDHmPEhMA+DBpGdIo56H3lpDrdcX5sBERERE5EApSY92mflw/J0A9GMHP014kW2V9Tz5viaRioiIiEQrJemxYNKVMGAyAJckzOVI8yVPzl/H1vK6MAcmIiIiIgcibpP0mOju0sjlgm8+BgkpuLA8lPgUtqGeh976MtyRiYiIiMgBiNskPeb0GgrH3gbAYNc2bkz4B/9etpU/Ldygbi8iIiIiUcZYqwSukTGmPDs7O7u8vDzcoRyYgB+eORG2fIrfGr7tvZtldihTh+Ty8Nlj6ZeTGu4IRURERATIycmhoqKiwlqb09pxJekhoj5JB9ixGp48Bvxetpp8lvgGk00NPVy1DMrwkZGajBlyHIw8Awong8vdvutWboXVr8Ogo6H3yK59DyIiIiIxTkl6B8REkg4w/2F47779nuZN7knlwJOwI04na+SxJKe2UpJfUwoLfzOLpUEAACAASURBVAOLnwZfPRgXTLwcjr0VUnt0QfAiIiIisU9JegfETJLub4B/XgZFH0JyFpWks6rczS5fKr1MBRPNl7jNnn/u9TaRT81hfJ46kY05U0jK7sNJlf/gqO0vkuSv3eslAqm5mON/gZlwcftH40VEREQEUJLeITGTpLdid42Xe19fxdyV20j2lnG8eymnuBYz3bWCZLP3wkcN1k2i8Tc9/iQwgr/6TuJC9ztMda9q2r/aDGFNylj6JlTRy1SQEygnzV9BQ8ERJM56kJTcwm55fyIiIiLRREl6B8Rykh6qzuuntMbDrmov5WWlJGyYR07JAvqXfkBOw449zl0WGMyvfeewIHA4YADLaa5PuC3xb/Qzpft8nXKbzsOJV7Mh/0QO6ZXOkLwMhudnMqxPBnkZyZjtK2HrUigrgvIiZ1u20XnyoSfBqG/A4JmQkNwFn4KIiIhI+ChJ74B4SdLbZC3sXAPr3oXStTDkeDxDT6HK46eyroHyugbKaryU1niprKxg+No/ceS2F3AHGthtstnuz2KnzcJNgGPdy5su+w/fMdzt+y7VpJFJLd9wf8iFif9jFBv2H1NyFgw7JTjRdQpk5HXhByAiIiLSPZSktyG4eFFL07Ozs91xm6QfiMafH2MIBCy7ajxsKauj4Ys5HL70F6T6KgDYTG8+8Q/nVNci0oxnj0v4raGEXDbbPCqS+9I3uZ5RtYtxB7x7v15OIfQ7EvofCf0nQr8jVBMvIiIiUUdJehuUpHeDyq3w76th/by9DpUl5vNm4gk8WzWBtQ15NJCwx/F06jjWtYxvJC5mhmsZyba+9ddI7w2HnQmjvw39Jzmrr4qIiIhEOCXpHRD35S5dIRCAT56Ad+4C64cRs2DCd2HwseBy4w9YNuyqYXVJJatKKlm5tZLPN5dTXtvQdIkUPIx3rWW8WcsE91qOcK+jh23lzyirHxx2Fky9HjL7dN97FBEREekgJekdoCS9C9XuBmPa1Vs9ELCs31XNko1lLN5YxqdFu9lYGtoG0tKPXUx3f8E5KYuYEFiBsYHmwzmF8L23Iatv578PERERkU6gJL0DlKRHrp1VHj4tchL2JUVlfLGlgga/87ObZyq4a+haTrELcW/+xHlC3ki47D+Q1jOMUYuIiIi0Tkl6ByhJjx71DX6eWbiBR9/9Gq/PGUXvl53CS4X/ot/Xf3NO6nckfHcOJLeykqqIiIhIGO0vSdcsO4lKKYlurj12KG/ecDSTDnFGy7dU1DN9xaksyTzOOWnLEnjxQvB59nElERERkcijJF2i2pC8DF64cjL3nTmajOQELC7O23kp8+0454T18+Bfl0PAv8/riIiIiEQSJekS9Vwuw0WTB/LfG49h1pgCfCRwpecGFgeGOSesfhX7zt3hDVJERESkA5SkS8woyE7lsQsm8PwVkxmY34vve3/KmkB/AKoX/y3M0YmIiIi0n5J0iTlThuTyxg+nc+MZE1nkGgOAq6E6zFGJiIiItJ+SdIlJCW4Xl04bxKCC3gCkWA+ok5GIiIhEiYT9nxKbjDHzWtmtXn2xJjEVALexWF89JvhYREREJJJpJF1iW1J609362powBiIiIiLSfnE7km6tndlynzGmHMju/mikq7iS0pru19dUkprdK4zRiIiIiLSPRtIlprmSQ0bS6zR5VERERKKDknSJae7k5pF0r5J0ERERiRJK0iWmJaQ0zwX21qkmXURERKKDknSJaYkh5S4NdVVhjERERESk/ZSkS0xLTG0eSW+o10i6iIiIRAcl6RLTkkOSdL9HSbqIiIhEByXpEtOS0kKSdK+SdBEREYkOStIlpqWmZTbdD3hqwxiJiIiISPspSZeYlprenKRbr5J0ERERiQ5RnaQbY44xxswxxhQZY6wx5vZwxySRJTkpGZ8N/pg3KEkXERGR6BDVSTqQAawCfgZsC3MsEoGMy0Udyc4DJekiIiISJdqdpBtjjjDG3GyMedkYsyU4cr3fJRyNMWnGmPuNMeuMMfXGmE3GmMeMMbkHFzpYa/9jrb3FWvsi4DnY60ls8hgnSXf56sIciYiIiEj7JHTg3DuAb3bk4saYVGAeMBFYD8wBDgOuAU41xhxlrd3ZkWuKdJTHJINVki4iIiLRoyNJ+kfAcmBx8Nae8pLbcRL0l4FzrbU+AGPM/wOuB34LXNR4sjEmA6eEZV+qrbX7HcEXaeQ1qWDBrSRdREREokS7k3Rr7YOhj40x+zzfGJMEXAs0ANc0JuhBPwXOA843xvzEWtuY8P8EuHM/oTwI3NzeuEW8rmQIQIJfSbqIiIhEh66cODodyAbmW2u3hx6w1nqA14Kvf2rIoV8BPfZzu6sLY5YY1OBOBSAhUB/mSERERETapyuT9LHB7dI2jjfuH9O4w1pbb60t389NmZZ0iN+VAkCikvQDV14MS/4MlSXhjkRERCQudKQmvaMGBLeb2zjeuL/wQF8gWMM+NPgwCehjjBmHU7e+tpXzy/dzyewDjUUily/BGUlPUpLecQ118MH/g4W/AV89pPaAM/8Aw0/d/3NFRETkgHXlSHrjBNC2mlPXtDjvQBwJfBa8FeDUwH8GPH0Q15QYY4NJerJ+CdN+1sKX/4HHjoJ59zsJOkBdGTx/Hrx1K/i84Y1RREQkhnXlSHrjzFK7n+MHzFo7ryPXsdbm7Ot4cKRdo+kxJpCQBkCKVSv9din5HN67F76e27wv/3AYcza8/zB4q+Djx6D4Q/jOn6Dn4PDFKiIiEqO6MkmvCm7T2zieFtyGpZ2iMWZeK7sPZlRfIpRNdEbSU/Bgrd1vZ6K4VL0TVvwDlv0dtq9o3p+SDcfdAUdcBu4EGHkG/OMyKFkGWz+DJ2fAWU/AiFnhi11ERCQGdWWSvim47d/G8X7BbXEXxiACic73wWTjo97rJSU5OcwBdYPtK6FmJ/Qd7yTaranYDBsWwOpXnVHzQGiXVAPjL4QT7ob0Xs27ew6G7/8X3rnLGU33VMKLF8PZf4ZRHVrrTERERPahK5P05cHtuDaOTwhuV7RxvEtZa2e23Kdyl9hkktKa7tfV1sR2kh4IwPyHYd4DOJVmBnoNg/4Tof+RzheWjQtg40Io27D383sMgnEXwthzIceZ011V38CKLRUUldYytHcGh/fLJuWU++GQ6fDPy5x69X9+D875q0bURUREOklXJukLgUpghjEmz1q7s/FAcKGjM4AA8GYXxtAmlbvED1dSc8VVfW0V9OgZxmi6UE0pvHwFrHs3ZKeFXWuc27LnWn9echYcdhaMu4BAv0l8vbOGxV/uZvmm5SzbVM7andXYkJklSW4Xo/tlccTAQzhp8mMc+dE1GL8HXroEzn0Ohp/SpW9TREQkHnRZkm6t9RpjHsdZHfRxY8z5IauOPgj0Bp631qrxsnQpV3LzSLqntmofZ0axzUucJLky2Nk091CYeTPsXAObF8OWT53SFHBG0wsnwyFHYw85mrUJQ/l4YwUfLSjl4/Xvsrtm311bvP4AS4vLWVpczh9JZabrBp5K+g1JgQZ8L1zE0imPM3rmt0hL6soxABERkdjW7v9FjTGzgDta7E41xnwc8vgaa23o4kX3AicC3wHGG2OWAKOAw4Ei4EcHFHUnULlL/HAnN/+CxFsXlnnKXScQgMV/hLdvg0CDs++ws+Abv4PkzD3P2/UV1dWVfObtz9LNNXy2toxl/yujvPbDVi+dlZLA2AE5jBuQw5j+OQzqlc6abVUsKdrNp0VlrNxaiT9gmRcYx1XeH/FE4m9JooGxH1zD/Su3c/ePr++GD0BERCQ2dWSoKw84qsU+V4t9WaEHrbW1xpgZwO3AucBZwC7gCeAOa+2uDkcs0kGJKc0j6d66mn2cGWXWvQf//QVsC07rcCXCyb+ESVdCsINNIGBZsaWCd1dv57+rd7K6pBLY2erlemUkcdTgXKYMzmXy4FyG5KXv1QlnaO8MZo0pAKDW6+PzzRV8saWCVVv78cuiJG6veZBk08D3yx/F2uvUSUdEROQAtTtJt9bOBmZ39AWstTXALcFbxFBNevxISGn+Y22oj8CRdG8NrJoDhVOg56D9n1+yHP57J6z/X/O+rP5w9mwYMBGvL8AHa3cyd9U23l29gx1VrfeHH9QrnfEDchhfmMPkwbkM7Z3RoaQ6LSmBycGE3jGOz57ZwvhNf6HQ7KTO4yU1JYYn6YqIiHQhFY1KzEtKbZ446quPsJH0QMBZwXPDfEhIgZm3wJTrnJ7kLe36Gt5/CFa81LwvKQOm3YBv0tV8vNnDa//8nLdWbqOirmGvp4/ul8Wxw3szYWAPxvXPoUd6Uqe/HV9ac7vG2ppKUlPyOv01RERE4kHcJumqSY8fySnNtdk+T4SNpH/6JydBB6eV4Tt3wsqX4Ru/h4Ixzv5tX8CCX8PKV2hawNeVgH/CpXxSeAX/Wd/AW7/+mF3Ve074TEpwMXVILieMzOf4kb0pyE7t8rdjkpo/a091BeQqSRcRETkQcZukS/xISmsudwl4a8MYSQtlRTD3F879rH5O15XSr51ylqdmwuSrYfd6WPOfpqdYDJv7nswfEy7gX4uSqVm4bo9LJroNM4blccbYvhw/Mp+M5O79K+4OKS2K2U46IiIi3UBJusS8lNAk3RMh5S7WwqvXQ0Mwnm/+HgqnOgsRffB/zuqfH/2++XTj4tPM47mj9CRWr29crNcPOIn5lCG9OH1MASeP6kN2WmI3v5lm7pDfWnhrK8IWh4iISLSL2yRdE0fjR2pac+JovXVhjCTEp7Nhw/vO/QmXwJDjnPvH3wGjvgmvXgclywm4EpmXegJ37T6J4rr8pqdnpyZy7PA8ThiVzzHD8shKCV9iHiohtfmzbqjTSLqIiMiBitskXeKHK6m5BaNpiICR9PJimHu7cz+rP5x03x6H/fmH88bEZ1n47hzeL+3B9lpnhVSXgVMPL+DCowqZdEhPEtyu7o58vxLTmruwRmQnHRERkSgRt0m6Jo7GEZeLOpJIxQsNYR5JtxZe/SF4gwnsNx6FFCex9fkDzFm2lcf+t5b1u2qAIQCkJbk5d+IAvjdtEAN6prVx4ciQFDKS7q+rDGMkIiIi0S1uk3SJLx6SScWLqyHME0eX/qW5v/n4i2HoCfj8AV7+bAuP/W8tRaXN8fXKSOL70wdzwVGFZKdGRjnL/iSnN4+k20jrpCMiIhJFlKRLXPCYFLBVuPz14Qti+0p482bnflY/OPmXLC0u47ZXvgiuBOronZnMVTOGcP6kQlKT3GEK9sCkpuc03Q8oSd9b7W5Y/RrU7HTu15Y6N78XRsyC8RdBUvr+r9OovhI+eRIKxsKwk7oubhER6XZxm6Rr4mh88bqSwQ9uX5hG0usr4cWLwVcHGKpP/R33v1nM84uKscHW532yUrh65hDOnTiAlMToSs4bpaY3l7s0lfSIo2wjPHMyVG9r/fiG92Her+CoH8CkKyGt576v562Fv58DxR9BYjr8bD0kpnR62CIiEh5xm6RLfPG6UsEPCYEwjKRbC3Ouhd1OT/NVI67nu/8KsKu6GHAWHbp25lB+MGNw1CbnjZKSEqm1yaQZD0ZJerPqHfDsWXsm6InpkJbrJOO1u6GiGOp2w7wH4INHseMvwky/EbIK9r6ezwMvXuQk6OC08vRUKUkXEYkhcZuka+JofPG5nOQlIRzlLh//AVa/CsDylImcuWwSFmd10OlDe3HvmaMZ1KsDJQ4Rrs6kkIYn/PX/kaK+Ap77trMwFcCU6+C42yExZAXYgB9Wv0rD/N+SuH05NNRiFj1F9aJn+Uf2ZWw45DyG5GdzaO8MhualkPfW1Zh17+75Og01gFZ4FRGJFXGbpEt88bmdhCipu0fSiz/G/vcODLDV9uKS8suxuOiVkcwdp4/kG2P7Yozp3pi6WC2p5FKBu0Ej6TTUw/MXwLbPncfjLnJabob8mW8uq2Xuyu38Z0U+nxb/jClmJVe5X+MY9woyqOOyisf57LO53Nrwfb60A3go4SnOTpgPQL0rnZRAsK1ouDsXiYhIp1KSLnEh4HZG0hNtNybp1TvxvXgJCQEfHpvAVd4bKCeTc48cwK2njQzryqBdyeNKhUAY6/8jhd8H//o+FC10Hg+fBWc8it/CsuLdvLt6B++u3sGa7aGLPhk+tKMpyprIVf3Wc1rxI+Q2lDDetZbXkm5jqT2USa41AKwMDOQp7yweTXrceTlPDdFdLCUiIqGUpEtc8Cc4/cVTuitJ3/YFu//2fXrWODXI9/ouZnfOaJ771himH9qre2IIk/pgkp7oj+MkvWILvH0LfPk6ALZwKkuOfISX56zm7ZXb2F3j3espA3qmctroAk47vIAx/bMx5jjwXgDv/wr74e9JwM8k4yToO5IKeSjzAczOL5ueX1NdRdZeVxURkWilJF3igg3W/yZbT9e+kM8D8x/Bv+DX9LR+AP7tn0rCpMt5+5QRpCfH/l+5BpfzhSguk/TqHbDgN7DkT+B3fta2pw3j4u3X8NUzn+11+tgBORw/ojfHj+zNqIKsvUufktLgxHswh58Dr90AW5ZAdiG9v/cmf8nuzzv/NfCBc6qntmqv64uISPSK/YyhDWrBGF9sopM4puKhwR8g0e3q/BfZtAjmXAe71uAGfNbFs65vcvilD3DmkFY6dMQob0IaeCE5ECc10v4GqNwCn852epaHTJh9xz+em3dfyS6cn7cEl+GYYXmcfFg+x47oTe/MdnZj6TMavj8Xtn4GeSMg2fmnKiG1ecJxg6em096S4HRl+nouZPeH/MPCHY2IxKG4TdIlvpjgSHoqXqo8PrLTkg78YmvehHXvgbem+eapwm76BIPT9HxlYCD3J17HXVeez6H5mfu5YGzxu50vRDGZpJeuc1aN3b4SqrZDVQnU7trrtIX+w/iN72yW2mEAjC/M4azx/Zh1eAG5GckH9touN/Q/co9dSSnNSbqvThN12+XTv8D/7oejb3R60rflvftgwSPO/VHfhOPugF6Hdk+MIiLEcZKuFozxxSQ5iaPLWOrqag48SS8rghcuhGApyx6vAXhsIo/6vsW/077Fs1dOZ0he/P1yxpfoJI4pNkaS9EDA+VK26En4+r8Q/CLWmiWBYfzadzYfBQ5jaO8MfjSmgDPH9eOQLmqxmZjS/AXQV6+R9P1a+w68/iOwAXjrZuhzOAycuvd5m5fAwt80P141B1a/DuMugJk3O6PrIiJdLG6TdIkvJmSp9fraKsjtcWAXWvtOc4Ke2ReSM7BJ6RRXwpKKdB73fZO6rCH8/YrJXZaYRbpAsLQojTqnZCCaWkz6vM7oeOVWp4SlbAMse75pIapGRQmDWOvJYbvtwXbbgx3k8FWgP7t6jOOMsf24c2wBw/Mzu7y9Zkpa85dAv8pd9q10Hfzze06CDs72X1fA1QshNeTfg4Y6eOUq57g7CYaf5iTp1g+fPQufvwRH3wQzfx6e9yEicUNJusQFd3JzwuypPYiygHXvOdv0PPjxSnC5eOr9dTzwptNlo3+PVF68YjIDeqYdTLhRzSY6o7sJBJyJtJG+CmbpOlj6V/jiX1Cxqc3TGtypvMYM/lB7HF/XN4+k9stJ5fSxBdx1eF9G92tl8mcXSk0PSdK9cThRt73qK+D585wtOOUrq+ZA5WZ4/cfwnT83f5l87z4o/dq5P/MWpyxm+0pn/5r/OBOC590PE77b+mqwIiKdREm6xIXQJN1bd4Ajjn4fbHAWkWHwseBy8dryrU0Jep+sFF78wRT65aTu4yJxIOS3Fv76KtyRmKQ31MHq15zkfOOCfZ5anV7IX3wn8mTFZCpx3lt+VjKnj+nL6WMKGDcgJ2wLUqUmJ1FvE0kxDVivRtJbFfA7I+a7vnIeH32TU1/+/Hnw1Vuw8hW29z6a+eknUVi9nEkfPYYB6HckTP2h85z8w+D85+GTp+DNnzr76sqUpItIl1KSLnEhMaV5ZNtbf4Aj6Vs+BU+lc3/IcSzasJubXloOQGZyArO/N1EJOmCSQ0uLKknPjLCl6jctgr+fC3W799w/YDIMnglZffFl9GH+tiQe/7SWJTsszowDJzm//rhDOefIASQldEGHoA5KS3RTSzIpNGA1kt66d++Br9927g87FY69nbLaBhYfegeT1y8iy7ebjPduYba3nscSH8W4LPU2kYt3fBfz9GIKe6YxoEca/XukMtrbk+GN123Q5y0iXUtJusSFhJTmsoAD7oKx/n9NdzdkT+SKvy7B6w+Q4DI8cfERjOijpWQATHLzZMb6mnIiqjI/EHD6jTcm6Gm5MPZ8p3QhbzhV9Q28sGgTf5q7gZKKxiTMkJuexNUzh3DR5IGkJEbOup5pyW52kQxUY5Q0NvPWwqZPnBaKHzsrstpeI3hn5H08N3sJ87/eibUw3fUDnkt6gHTj4eWkO0k2DQA87DuHxZ5eULWbRRuav8xNdm3gheCc84CnmvB/TRMRwGmBu3UZZPaBzALI6uvc7zGoqWVtNIrbJF190uNLUmpIku45wCQ9WI/u6zWSi18qpqLO+Q/9wW+PYdrQ2F5FtCPcIf8gNkTaAjtfvw07Vjn3p1wHx98JCUlU1Tfw+zdX8/ePi6ny+JpO75WRxGXTBnHp1EMiciGqJLeLepyWjsYXI910DlTpOlj2d9i40PmtV6Ch6VCdO4sLyq/jsxfX7PGUJe6xvJl1NqdW/qMpQS/NnUD2iB/yrbJ6Nu6qYVNZHTurnIWpam1z+8ydu8vIH9IN7yuela6DV6+H5Cw4729OG1KRljYscAZfWpOQCpe9Af2O6N6YOknk/a8j0gWS00Jb1R3AiGNdudOWDXitZgSby5yE6KYTh/HtI9SOLVRCavNn7ampDGMkLVgL84N9r5OzYcbPICGJj9eXctNLy9lS3pzkDs5L58qjB3Pm+H4RNXLekjEGTzBJd8XzSPqKfzoLibXyRWVF4BDu9FzKZ7Yn4JSmfXN8X04bXcARh/QgmePhma+gZDkkppF74TP8sOfgPa5R3+Bnc1kdH32cAEudfV71pe9aWz6Fv50NtaXO45Ll0G9CeGOSyPTRY20f89XBR4/Dd57pvng6Udwm6eqTHl+SQ1ZmDBxI7e7GBU2tF1+ucKpSz5s4gOuOG9op8cWShNTmsh9ffQSNpG9cAFucL1pMugJPQga/+c9qnlqwHhtsfX7EwB5cPWMIx43ojcsVHa0jva4UsODy14c7lO7n98G7d8OH/69pV0nKUN6tH8Z873AWBUZQjvOlcUJhDudNKuT0MQWkJYX+1+eG81+Ahf8HI2ZBiwQdICXRzdDeGZQN6NOUpDcc6NwW2b+178CL34WGkMnQngj6t0Qix6618NWbzv0jLoVTH4KqbU4r3fkPOz9LX77udHZKib70Lm6TdIkvKSEj6YED6ScdLHXxkMiiwAgG9Urnnm+ODltXj0iWmBaSpNdF0H+sC37tbBNS+WrQRfzw9x/w5TYnvuQEF7fNGsnFkwdG3Z+p15UCfkjwx0C5S0f66tfudvqeB+eKVJsMrvVcy/v1Y5tO6ZGWyKXj+nH+pEKG99nHyr9ZfeG0h/b7kskhLS99StK7xvIXYc41EPDtuT+ef1MkbQvOOQFg8jWQkAw9Bjq3ydc4SbqvHla+4iTxUUZJusSFhJCOI/ZA/rEPJumf+EfgIYnbThsZEd09IlFSaugXoghJZDZ/CuvnAbA8/0zOfuZLvH5nUZsx/bP5zTnjGNo7OqekNMRKkl6xBZ49E4wLZv0aDpne9rnbVmBfuBBTXgTAl4EB/KDhxxTZPrgMHDMsj3OOHMDxI3uTnNB55Uqp6c0/23G/eFTNLue3U4OPhdScDj3V6wuwpGg32amJjMpPx9TuckY/v54L//ulc5I72Vkw6t17gk+K889b9la725mHAjD0RMgbvufxwTOdRQertjrnKUkXiVAhvbs73AVj93oo2wjAgsDhTB/ai+NH9u7E4GJLSnrzSHogUspdgqPoDSRw1bqpeAngMnDdsUO5/vhDSXRH7xcuvzsVGiAxEOXlLu/e3dzLfPbpMP3HcOyt4E5sPqeujNr/PkDKZ8/gss5I6xv+Sfy04SoSUjK4fuohXHBUIQXZXdMKNS0tg4A1uIyNnC+g4eDzwp9OcRZ9SusFJ94NYy8A177/Hvn8AV7+bAuL5r7A2fX/JM9sI2AqcRPY88TkbKcvfY+BStKlbUv+1DwPZcq1ex93uWHsubDwt063p11roVd0lagqSZf44E7Eh5sE/M5CNh1g175H4y/gP7Bj+M3pI6OuJKI7paWl47MuEkwA6w1/IuPZsoLkNW8A8C/fdErI5dDeGTz4nTFMKOyxn2dHPl+Ck5AmBTxhjuQglCyHz18M2WFh4W+cUpZvP0N5cgFr3/w9w1f/jsyAMxnZbw2P+M7lHynf5vrjh3DR5EIyUxJbv34nSU9OoJZkMqjHeuK4/GLRU82rstbugjnXwpI/w2kPtzq50x+wvP75Vp6f+wGXVT3JI+4ltNW/chu9uMF3C6tmV5Pq+4hFwSzF76khcqdwS7fzeWHRH537vQ9zRs1bM/YCJ0kHWP48HH9Hd0TXaZSkS9yoJ4UManD5Ovaf667lb5EH7LTZjD9ymvqh70dqcgI1pJBNLYS5JOCz4jJ2/fU2TsRJ6v4Y+AY/PP5Qrj12SKeWQYRTwO0k6ck2SkfSrYW5wf84XQlwzrPwv/th+wrY+hn1v59KaaAnR5qtTU/5ODCSJ1KuYOZJx7FgYiGpSf+fvfMOc6O83vb9qkvb116Xda8YG1dMNWBTDKGGFiABQkshkB6SkPzSSUggyRdCCOkQEkJCQif0ZkJvtsHGNsa9r9dre7v6+/3xjqTZ9a63WLPalc59XUKjmZH2oJGlZ86c85y+OZYhn4d6S6TnpS99ygFp9zo4+cdQNGjffZrr4EWrfr9slJno2rjNNGX/6QQzc+Dgs2gqGsGS+hLe2tzMs8s2s2D3vdzpeYigOwpA1FPMs5An4gAAIABJREFUpiEnsKKpmMV7AmxPlLFTl/O+HksULxAnjC+tUnbW1SHzXXvJxtfg6f8z/uFHXG1KybqTaEomjcvOB4+b/ed/09R89wfefwCadpjlo67t/P+narKZHrz1bXj3X3D8/3V5xac/ISJdKBgiyk+xbsbVAz/pWDRCcOsrALzGTL568kFdPEMIed3stES6iuUuk/7Qkq385v5neNr9P1Dwiv9Yfvu5j+XdSZb2WiKdSM8aL/sLa56D9S+a5blXwZTTWFl0GJvvu56T6+8joMNMsAT6Vobw8rgvM3H+RdwxurLPHXh8HhetluVlXjYyLr0HXvixWa7fDJc+BO52MuHFmyBSb5ZP+zmMPRZe+gW8epvxpl98Fyy+i2JgnlaMp5KPoxnuzQyFSky/EN/JNzCxZCgTgYXRBK+u3cVLH+5iYiSOz+PC63axuzlKbJUbr0oQD0u5S4/RGt76Mzx5faYRd9V/YdgMMydi2jng8bV9TjxiZg2sesyI88btmW2egLGu7S7NdabMZPc6GH2UucqSje8nreG128xy0RCYfv7+95/1CSPSG7bAhv91nnXvh4hIFwqGlAuGuwci/elnHuN0zI9xybSTGVTcT7II/RiP20ULRjjmwrs7mdT88pkPeH3R4/zG+1fcyvgrzrviRtx5JtABtDcEYOp64xHwBnIcUQ9IJuCZ75llXwlrDr6GX979Dk8s3wGcyzGuSfzc+wfK3RF2zryWkad+lQt9ztSbd5ewMu9vT6/I9Xv2bjZiLsWGl+DZ78MpP8msq11tRB/AuPkw+SOgFOtmXsfdW2Zz3NpfssD9bnp3l9KMoC79ODl4Cq4z/h/usfPa/Omgz82JBw/lxIOHtlm/fGs9Lav8lNFS2D0AvSHWCv/9KrxrNVa6vKZGOx6GHe/Bg5+BZ38Aow4zTcBNO6F5p7Eq7Iw3/gBHf7Hz75iY5aKy6TXY9Drsajs8jKopRjDPuNBMA+0tG16CHcvM8uGf7jq7f8i58OS3IBExJ6LjF/T+b/cxItKFgiHtgtHNBrv6lhib33os/XjeyV2crQtpUkLGE+vb7FdLNM6P/vE0R637DV/3v5rZMPVs3MOn92ksfYWyRDpgsrsDSaS/+y/Y+T4AT1ZcxOf++H7as97tUlTPOZX4gmsIVgQZ43a23ry7RJXlS59PIj2ZNLaHEWv4WOlIk3V87TYYPgtmfMysf+a71rwIBaf8hK31YW599kPuW7yFRNLDHXyT4Yk9nDS0mSMrGpka3M0IXYMvshsmLsR1+KfbNgJ3QcjnpiVVOpevjaNL/gGbXoVjv9ahR3+naA2rnzKZ8WCFEcBVU2DwJAjvhXsvMb0eYBxOLvibef23/2J6CpprTZnSioc7fn2XF8YdZ2YHJGLw5DdN/8G7/4S5V+y7fzJh3Jk2vdZ5zLWrzEn5sz+EiSfB3Cth0sk9Lz9JDS/yBMxrdEWwAqacZk4gVjwCp/0CAgMjYSMiXSgY4i4jXrzdtKp7aOlWDk8uBRc0lE2htFwqIrtLRAVBgzvRR0ImmaRmyxqevucWvt/6n3Tda9IdwDXvi8YpJF/xZUR6ItKMO1SZw2B6QKwV/fwNKKBGV/DljUejAZeCc2aP5AsnTGTs4KKuXqXPibqC5mS/B1fk+j1v/RnW/88sz74UjrsO/rgAWvfAI18wdb0tu2H1kwDsnPgxbn4pySNLF6WtTJWCs2ZW8+WTFjAuS8ct5PPQrP2gyM/yoobt8MjnQSdhxaNw9u1w8Bn7f04yCaseNYN6Utnk9ri8pvQIYPTRbD359zy/Bdzbmhk78krGTvs0wzb9F9fiu8wxLhoCxVXmvqjKOKBMPCkz/CcRMyds9ZvN/ZzL9hXWS+7OCHRvkcnQjz4KRh8J5aONOF76D+PgpBPw4VPmNvggOPoLMOOC/WfEI42w6nFYfp+x6gSYeREUDd7/+5Vi1sVGpMdbzYnJnEsz2+q3mpOPSQth+MzOXyMHFKxIV0ot6mD1wDRKFrpF3BOECHi76YLx5NsruUStBaBk6slOhpZ3hN0hiIMv7lD2a9eHsOIhqP0Adq0mWbuaofFWLgVSVjzRgz6K7yM3GBu3PMZlE+nh1iaKBoBhjdaaDx66mSlWvesv4h8jjJ8Tpgzh26cd3K896+NuI9IHvOVlirq1mZKjstFwyo0my3j+HXD3eUbU/OsSYp4gXqCFAKcvn08tW9IvsXDqUL528uSs93uE/G5qrR4AlY+Z9PcfMAIdTJ3/vRebWvGTfrDvFYd41IjLl35hMtIpPEEjyO3DnyyB/t6Ii/he08dZetvyff60zzOYMZXfpTToRYc1yVbQOzVJDaVBDwdv2MrU6kamVZcxvqoI75Gfg6e+DXVr2L3kIbYPP5FwLEFJwEu5q5Wq535kvnpLR8Dn32pjewzAMV+GeV8yjahL/wHv/QeijaYk5pHPw/M3wBGfheo55qQgETW3aDOsecZcNYjb/s15Q3CksV2MxBPUNkbwul0MKfF37L42/ngoHgpNNabkZcYFpuZ+yd1mDopOmpOQM3/drUPXVxSsSBcKj4TbZNL9uusM2Ic1jRxWcx9ur7n2riae4Ghs+UbMZYSjN5nlbGOqEeqp/zP1hRb2nM72wESqLrgF3/hjs/u3+ykuf0bQRpob6X+557bUNUX4yX0v84P1vwNlBhEtG3QqfztjOsdNrsp1eF0St9x0sv7ZzgXJBDx4dcZr+uzbM2UAE04geeIPcD37PajfREoy3h47k1oq8LgUJx48hKvnT2C2Q1amIa8pdwFQ+VRelGLZfea+aIgRoJEGk6ne8pY5SWrda4awrXsBNr7a9mpCsMKI1MM/bQTx7vW0bHufD5a9xbZN63iwaSrPrj0U6PjkJhpP8uHOzuv8X1mT6SXweVyMKRrL/TpEqWph3cM/5fxoJuv9bc8/+Ixnl1luuoBVf17KmEFFjK4MMXZwiKGlAWobI2yqa2HzHi+bdl9Ao+dEzvc+z9mRh6mI7zLiOeWJvx8aVQnvFB3H06EzePvu7exs3MDellh6e3nIy9ThpRxs3cYOClmiXTNi7EcZtvyPsOlVYjdPxhvd2/a1Ny2jpJ813xesSNdaL2i/Tim1Fyjr+2iEviDpMcLRp7vOpD/12mKu9jwKQGTwNPzjjnM0tnwj5glBFPzJLP6wtuw2l95X/Te9Klk8nHfDQ3g3PJQ1egQTps7l8osuQrV3pMhjvP5MJj3S2r+b615YtZOv3/ceXw7fTqnHCMNth13Pf09bgGeADJRKpH3p8yCT/sotsOVNs3zkNTDOnNg2ReLc/84W7nptBl9JHMmZ7tcB2KoH8VLVRXxv7gQ+Oqva8UZ6j9tFxMqk96Thf0BQtxa2LTbLh15mGir/fZlp6tz8BvzqEEDv+7yiKlMeMvcqsE7QV2xr4O+vR3h4aZCW6Dwg05g7oaqI06YP5yOHDKPE72Xj7mY21LWwcZe5D8cSKAUupXApUEqxoz7MhzsbiSXM34/Gk3xYD3d7TuIazyPMda1mjlrNYj2Z8WobV7hNGdSbyYO4JzwXNu1l8aa9+4TeFsX7nMiNzOdM16t8xvMYU1ybO9yzSQd4OjmXRxJH8UpyOrHW1Pf7vt93e1tivLq2jlfX1u2zbZKayDPWRzYl0Ot1iIcT8/hPYj5jyo/mtn4k0KGARbpQeGjrxzVIhERS4+7Evi2R1Ex47xeElBHz/jNuNl3xQrdJWCdEgWxlGze+Bvd/yjSzAZSOpOXM33HRUy7e22XcCC6YO5LLzp2B6mNbvlzjCWRy59F+KtJbonF+8thK/vHGJqap9XzC9zwAsbELOOGMi/tV5qordOqzPRB96ZNJY0W36r+mvjc1kGjQJDjxe2zb28odL6/n3rc20xgx5RPf4DOMctUxXa0jfvJNPDzvpD4NOeIy39uefMukL78/s3zI+aap86pnjMPOO3fSRqCXjTKOJOMXwEGngS+E1pqn39/BH/+3jnc27mnz0qMqg5w3ZySnTx/OpKElbbaNHhTi2EldhxeNJ1mzs4kV2xt4f1s99S0xIt5Pk1j2BG4d43fjXmbl/Is5+Pmr8NYk0ChWzPw2H0uOYtPuFjbWtbCjYd9/I4OLfYyqDDG8LMCe5hhb97byyN75PBA9lmlqAyEixJWHytJihpSXMKyihJbgMPZEXQRa4xwWjlHfGsNjlbaYW4AhpX5aowlWbm9g5Y4GVu9oSvdLpPhQj+ShxNGc6XqNV5KH8J/EfJ5OziWCsaGsTnZwUpRjRKQLBUPKqi5IhNZYgmJ/xx//d19/hlOTpolq07CFjB57TJ/FmC8kPCbDEyBiLqkfyEnOK7caK7hU7eaUM2g59RYu++eHvLfF/DidNbOan547o899s/sDnmCm3CWWKy/phm2w5ln48BnYtsQMtLH8lN/esJtv3Pce63Y1A5of+/6GS2m0y4P39J8PKIEOoK0egADhgeNLH4/CCz8xzXFNNW23eUNsmv//+PWDq3l46VbiNqEyqjLIZUcdzLg5L+F2RRgTLO/jwCHmCkISPPlQXpRC60ypy9BDYMgUs+wNwJm3wPj5sPppGDnXCPPK8enPWTKpeWrZdm59fg0rtzekX1IpOHHKEC45cgzHTao64O9Cn8fF1OpSplaXcv6hIzMb3BfCkrsZuu05hu6+D2rMb6WacymXn3V2m9cIxxJs2t1CTUOYISUBRlYEKergdzeR1NQ0hNle30pZ0MfoyhA+z4FdWYslkqytbWJHfThdo27++zdeReP3uLnC4+KzbuPJ73UrxycW9wYR6ULBoHyZTPreaLxjkZ5MUvk/00QV0V4qzv5ZX4aYNyTttoDR5t7bXa142Ni+Abj9cMpPiM+5ks/97R3e2mAE+sKpQ/nlBTM7vTKS7/htIj0e7qNMeiJu6mZXP2nEeU27xrQXfkKru5gf1x7LP97YlF79taFLmF1vvJPVkZ8zriEDjIwvvR44vvT/u9mUttgZeThbhx3PrTumc+89jUBjetOR4yu56pjxnDBliO3fVW786eOeIETB101XrgFBzfKMh3hHg3imnWNuNhJJzZPLd/Cb5z9k1Y7MsSoLevnEEaP5xOGjGVUZav9K2efoL5pmSzQ89S2zzl8KJ3xvn10DXjeTh5YwuV02vz1ul6K6PEh1efY+Y163iynDSgf88DoR6ULBoKxuc59K0NoahpJ9f1xbF/+TseGVALw46AJOHjaxT2PMF7TP5s7RW5G+ZwM8/AWzHCiHy/8Lw6Zz02MreHF1LQDHThrMbZ+YjXeA1DM7gc8u0iMOlgS07oW1z8EHTxq3hdY9++4TrEBrjQrvxf/st9kZ/QowF7/HxTeOr+bKxV82+xUPheN6MLmwH+GyuVbEwk14+7tI37kSXv6VWa6cAEd/gciEk/nFq/X86aX16d2UglMPGcZnj5vAzFF9nzHvjLjb6iXKp0x6KosOcMh5ne6mteb9bQ08vHQrj7y7jZqGTD9VecjLp44Zx2VHj+3bDHDVQWaIlWXHCcD8bxoLRyHriEgXCoa2VnXNQLsfokgT+pkfALBTlxM84bq+Cy7faCPSe5HdjUfhvisz48fPvh2GTeehJVvTwmLKsBJ+f8mh+D2F3S8QCGWyVI5NZfzfL2DRT9vavAGgoHq28ReeuJCdpVP5w70P87WtXyakItzqvY0bh/6cqy74GGPfudFMNARYeMOAGSbSHuXPiPTW5ka8Jd30ac4FySQ8+iVz3JQLzr+D1e4JfOlvS9OlEj63i/MOHcGnjx3P+Kr+Z32ZbtQlZq7gDPSmcK1h+QNmedQRxkO8HdvrW7n/nS08tHQba9o5sFSEvHzq2PFcdvTYTks2HefoL2RE+qCJcPhnchNHATDAP+2C0H1cth/XcEsHYuaVXxOKGBHxO8/FfGfquL4KLe9QfnsJRmPPv2ie/5Hx0wU44mqYcjrLttTzzfvfA0wW6U+fnNthfWOhEQhl3utk1IFMergeXrw5I9B9xTDheJh8qhHnxUMA2FjXzCV/eIPNu8tY7/oCf/L9kqCK8qPmH6N2V8MbvzfPH3Wk8SgeoHjsIr2lgX59qvHOncYpBNBHfI671pfx0ydeJhI3/R0zRpZxy4Wz+qU4T5H02kxFY83gHuAGbJvfhHqrBOyQtqUu63c18/tFa3lgyZa0s0qKw8dV8tFZ1Zw9a0Tuv/fGzIMZF5kra2f9Bjy+3MaTx8gvnFAw2H9cY+1dMOq3knzlVlzAu8nx+A67uGBrnLNBW+/u+p590ax+Gl79jVkePhMW/ohdTRE++/e3icSTuF2K335iTt/UXw4AQsEgMe3GqxJoJ0T6ykcznvSn/9JMpGw3GXDFtgY+eceb7Goy+4UOOZ3WUYMpfu56VHMt3GONlUfBaTcPjGbLTnAH2vrS91satsOzPwAgUlTNNZtO5rl1KwAz1fWaBRP50kmT+n+pWJv+lpbMFMyBynKr1EW5YJpptFyxrYHbF63h8WXbsRuMTBlWwtmzR3DWzOqs1msfMErBuX/IdRQFgYh0oWDw2H5co63tflw/fBpXwthF3Ri7mBvm7nsJUug+rmCmBCPa0oMBOw3b4MHPmmVfMZx/J1G8XHP3G2yrN8fn26cdzLyJ/bjEoI8J+Tw048NLqzOj09/7t7kvqoI5l+9TbvDm+t1cdddbNIZNpv3zx0/kaydPRqk50Lo1c8IFMPfKfjd2u6d4bZaX/dmXPvbYN/BGTEnLZ/dczKI64/wzojzIry6cxeHjKnMZXvexT6504vPdlyTiZjQ9oMfN59UdLv700pss+qC2zW4nTx3KNcdPZFY/6g0QcoOIdKFgsP+4tm+w03u3oICkVkSGz+2yG13YP96AXaQ37GdPG1rD/Z+G1t3m8Zm/hkET+PHDy3lzg1l37pwRXDlvbJajHdi4XYpWApTSisq2iGnYDuuNxRqHnLePQH9uZQ3X/GNxunziO6cfzKeOHZ/Z4aQfwd7NsOIhCA2CE76T3fhygM92Ahprf7LfD6hvifHQv//MZRseAeC/iSNZlJyNz+PivDkj+dZpUyjth1ZznaHsIr03/S25YtcaUyo2fAa4rfd7/YvQbAT5LTtm8Os/v5He3e1SnDWzms8tmCC/P0KaAS/SlVJfB84FpmBsMJcBN2itn85pYEK/w7cfq7q67esYDOyknLMPHdPHkeUfHpuQiYe7KWS2LoaNL5vl2ZfC9PN5b8te/vbaRsDUz954zvS0562QIaJMTajK9lTG5feTHqoyvW0d+cNLt/LVf7+bHgx283kzOM/upwzgcsF5f4aDzzQNpqEBkr3dD76QXaT3L9G4ZU8LV9/xP/7Q8HNQ0KBD/KX4s3z7qCmcf+goKosGXu2wvZcoGWmmnxfnGFY9DvdeAjphynVGHUF89Dy2LXuR0UBEe7hz9yEABLwuzj90JJ85dgKjB0kJn9CWAS/SgROAO4C3gFbgM8BjSqljtdav5zQyoV/h349VXXS3GUe8XQ/i1OnD+zSufMQXyrTTJbor0jdnskoc93UAfvXMagC8bsVtH59DwFvYTi6dEVFB0ODKtkhfZpW6VI6HEXPSq59dUZMW6H6Pi99+Yg4nTR3a8Wu4vR17QQ9Q7G46cafcdHrB8q31XPHXt/h8658Z4TEj0Xcc8W3u/8g5A3rIl70HIBpuop8bXsKmN+C+K4xAB1Ois+4FPOteIFVEuSg5C19xJdcdPYaLjxhDxQA8eRL6hh6JdKXUocBC4HDgCKAaaNZa77c1XCkVAr4DXAiMAGqBR4Dvaa3rehF3Gq31qe1WfU0pdRpwDiAiXUjjL8p8THW7H1d/83YAdqrBzCpp2xQn9By/zXGk2yJ9y5vmvngolI9myaY9vGDVan5s7ijJMu2HmMsPCXBnU6TXrobt75rl6Rekmz3fWFfHtfcsTgv0v15xOEdNGJS9v9vPCbT5bPePGukXV9dyzd3vMD2+jMt8zwCgRx/F5I9ca7pEBzCeNo26Df1bpNeuhn9eCPEwKDd1h1/He8vfY0zjEsa7dqR3Cx1xOa985PiCt48VuqanmfTvAh/tyROUUkFgEXAYsA54GJgGXAOcqpQ6Qmtd2/kr9AyllAsoAnZl6zWF/MBrv2xqd8HQmpKYsV5sDg6TcoosEAoEaNU+giqK7u4UzC1vm/uRh4FS/OrZDwHj43zt8TJUan/EXAFIgDebUxlTWXRIWyYu31rPp+5q67JTSAIdIFScuUrkmC99D/j325v51gPL8CdbudlvOW54gqiP/taUGw1wvDaR3t/Ki9rQsB3uPjc95OuRMdfzlZcOIZGcCVzKhEAD3z1kD8dMG8uxB5+W21iFAUNPRfprwLuY0pK3gB373x0wGfTDgAeAC7XWcQCl1K3AF4BfAZekdlZKFQNdmbY2aa07+9f6f0AJ8I9uxCYUEPYGpDZWdS11+HQUgERxdV+HlZeEfG6aCRAkaiaOdkXDdqg3JUeMPIx3Nu7mf9ZU0YsOH8WI/mQ/1g+JuUx+0ZOMdLFnN9E64+pSPQcGTWD9rmYuv/NNGiPGxeUXH5vReYlLHhO0lbvoHLuN/PaFNfz8KTNe/lu+exmtrHzXST+AQRNyFlc28drKFGPdPeF3kpr3zb+PijHgtz4L4Xr4x/np77A7/Rfzw1XTAI1LwccPH81XF05mULFcpRV6Ro9Eutb6JvvjrjKOSikfcC0QA65JCXSLrwMXAR9XSl2ntU4J/uuA73cRyk3A9R38vaut9Wdprbd18RpCoWH3241lMo7xPZvT/xA8FaP6NqY8Jehz06wDDFYNZgBJV6RKXQBGHc6vnrGy6B4X1yyQLHpXJDwhiGRxdPrmN2GvadhlxgVsr2/lkj+/wa4mczL7/TOncs7skft5gfzF5XanrxJ16wQ0W4QbYN0LMPIwdMlwbnryA37/4loATgqu5lL9lNlv9NF5NQGyV/0tTvHCT+HFn2UehwZBxViINMEuc7J0T/IkflhvMuVzRpdzw9mHMK16gHu7CznD6cbRY4Ay4DmtdY19g9Y6opR6FLgSOBW409r0M+CWLl433H6FUuprwA+BM7TWLxxo4EIe4slUM6p4JgO2Z/t6qqzlUJU4u2SDkM9DnVU96uqObdqWt8y9y8Pb0TG8vGYpAJ84fDTDyvp1FWq/IOE275FPZymTnip1US52jzudS//yJlv3mhOAL54wkSvmFfY03rAyV4mybnnZEVqbgVJPfAMat6PdPt4sP41Htx4PVDG2JMnvAndAI+AJwkdvy4sylxTBNj0AfXhS1J6Xf9VWoAO01JmbxVOJuXwndjkupfjiiZP4/PET8fT3YVFCv8ZpkZ6aWrG4k+2LMSJ9RmqF1jpMByJ8fyilbgC+BJyqtX6pF3EKhYDLRRg/ASK4bJn0+pqMSK8cVtjiI1sEvW5SPgyu7mTSN1sifegh/PIFc8nY73FxzYL8uGTvNNpjyoH8ukdfnR2TiKUHrsTGzOfSezeyZqc50br0yDF8ZeHkA/8bA5yICoBuyL6bTnvqt8DjX4cPHk+vUokoR9Q9xCL/ozzlOZ7jJ5TjXWWNmT/pB3lT5pIi5PfRov2EVCR3PQBv/CE9vZXioXDi96FxO8k9G6nd9AHRuo28lxjNV2PXMLy8iFsumsVhYwe+3aiQe5wW6anagS2dbE+t7/V4R6XUrzG2ix8HPlRKDbM2tWqt69vtu7eLl5NrUnlORPkJ6AjuRCYDFqkzojCq3VSPkkx6NnC7FGFlhKM73oVIj0dh2xIAdpRO57V3TWbqkiPHMKRUsujdQVulXAGykElf+3w6O/i73XN4f6cZRnXu7BH88Kxp0lgNRKxGXXfcoUx6MmGE4fM/TpeL6WAF/wl+jMG1b3KCeyleleCMxLOwynpOnpW5pCjyu2nBT4hI216ivuKdu8xVDDDlLZ98BF11EM+sqOHmtz9In8ACnD59ODeeM52y0MAZFiX0b5wW6anrVJ39y2put19v+KJ1/2C79XcBlx/A6wp5SNQVhEQDrrgt41i/FYAaKqkuE5u/bJES6Z5EFz+sNcsgYcTlv2uMR33A6+Lq+fmVEXQUr3mvfcTN6HH3AXy1Ww2jEeXnDzunAvCRacO4+fwZA9pvO5uk3HTc2XTTsfP41+Htv6Qf6hkX8rX6C3jggwiwgHMrd/KzqqfwrXnC7JCHZS4pgj43rdoPCnR3rsplk/f+DY9+ySwHyuDSB3mrZQg/+/1rvLNxT3q34WUBvvGRgzh71gg5iRWyitMiPfVp1V1s7zVa626/hta6fH/brUy7ZNPzmJSftCeREem+FtNjvMdTxSgRIVkj6g5BAnxdZRtTpS7AfyyR/smjxlIlfvXdx+ZcFA034Sva71dd5zTvQq96DAU8FZ9DM0HmT67i1o/PltpaGzGXOSnyJrJQXtSexh2w+C6zXDEWzriFX6wZzgNvmibRw8dV8sPLTsYXuAJ2LDOlSRMX5l2ZS4oin4fd6f6WPhTpa1+AB68GNPiK0Rffzy3Lg/z6udfSu5QFvVx7/AQ+edRYGbQmOILTIj3Vil3UyfZU2rLPC82UUos6WH0gGX1hABB3ByEGXpsLRmnE8kj3D+vsaUIviKVEeleOI1bTaLOngs3hIQBcfvRYh6PLL5QvcwWotbmx9yL9td+irDrrexIncvi4Sn5/yaH4PCLQ7SQ8wey66dhZ/DdIWkZo5/2Fh3cN57cvmEbq8VVF/OmTcykJWOUUw6abWx4T9LppxZywK6d7AOy8couZGuoJEr/oX3znTT//esu4Tvk9Lq6YN47PzZ8gpS2Cozgt0i3jYzrz6hph3W9yOA5BACyRDviSJgOmE3EGJXeBgkSJeKRnk5jbCEd/ssU4VHR2GdiyX1ysJwKKOaPLqRZf9B7htmXSwy1Nvbsc2LqHxBt/xA28nZxM6/AjufuyuQR9kiFsT8L6bKe+R7L3wnF42zI6Gz6TpckJfP0+Mzi7LOjlL5cdRlmwsERD5EffAAAgAElEQVShy6VMoy4O9gC0p2U3rDceFPGZl3D1SwGeXWnkzMiKIHddeTgTqiSnJziP0yLdminNrE62z7Hulzkcxz5orRe0XyflLvlPIiXSLReMuprNDFZJANwVhen77BQJjxEyHhKQiIKng/KVxhrYa87RXw2by/WnTR/eZzHmCy5/JpMe6e1Uxjf+iDtmnvvbxNncdvGhmYyt0Iak1QMQyIabjp3VT0CjKb+rn/ZJPvP3d4japruOG9zZRen8JuIKgO5Dkb7qMZNFB36wdgLP7jBXW6dVl3LnFYcxpEQa2oW+welrmC8DDcB8pVSVfYM16OhMIAk84XAcggDYreoiaK2p3bIuva1IPNKzSsJrExSdWadtydSjL9FmaJGI9J7jsY1Oj7b2YuBLpJHk678DYFlyLKGDP8KoSmmi7pS0m04YrTtrueoFb/0ZAO0v5VNLxrKz0TRUf++MqRwzaXD2/s4AI5ruAeijcpeVjwCwR5Vxzw6TvJk3cRD/+syRItCFPsXRTLrWOqqUuh0zBfR2pdTHbVNHbwKGAP/UWm93Mo6OkJr0wiSVAQupCOFYkr01G9LbyoeNz1FU+Ym2i/RoExQN2ncnq9Qljot3k+OZLaUuvcIXsDWOtvaiue7tO3CFjVvFbfFzuPo4+bewP1Kf7SDmeyQrJUG71sC6RQC8EFzIW1uNQP/EEaP55FGFnUBI9bd4s11e1BHhevTaF1DAE7FDSeLio7Oq+fn5M6U3Q+hzeiTSlVKnA99ttzqolHrd9vgarbV9eNENwELgfGC2UuptYCowHdgIfLnHUQtCb0lnwKK0RONE6jamNw0dJcIkq/hs57ydTR21nF1WJUfTSoDTDpEsem/wBDPvdTzcw3KXWCvJV2/DBXyQHMnukScxe3RFdgPMM1LlRT6VoLallaAvC/mdt+9IL/645igAjhhXKd70WI26UfA70ajbjuiKx/ElYwA8kTycy44aw/fPnCb2o0JO6GkmvQo4ot06V7t1pfaNWusWpdR84DvAhcA5wC7g98B3tda7ehhDVpCa9MJEWSI9RIS6aCLtkR7Bh7+kan9PFXpKG5HeQXY3EUsPMVqSNKUup04Xh53e4LeVu8QiPcykL/47rmZTc/vb+Ee56riJ2QwtL3HZGnVbWxqg/ABFerQFlt4NwMuJaazT1UyoKuIPlx6KV6wvSXpsvUT7a0I/QBJJzfvP/p3ZwF5dxKBDThKBLuSUHv3r11r/VWuturgt6uB5zVrrb2mtx2ut/VrrEVrrz+VKoAuFS8qqLqQitEbj+JpNpdVud5VjX/yFirIJR91RTXrNcrAs1RYnJzFzVDkjK6QOujf4Q5n3OhnugUiPR9Gv3ALA+uRQlpefwMKpQ7MdXt7htn22W5t70QPQnuX3Q9gMyL47sZCqEj9/veJwykO+A3/tPCDhMSdFbpIQd6bkRWvNjx94k4ObTQneu0VHc9MFc0SgCznFaXeXfovUpBcmLr8tA9baTEm0BoCmgGRws43Lby/BaGAfn5DNbZtGPyFZ9F4TsIv0noxOf/efqAZzNel3ibO4/NiJuEWUdInb1gMQaTlwkd78yh8oAnboCl71HMY9lx8mjbt2vLb3ItqSnrCbTW57fg01i/9LwGdKXQ477XL8HrEfFXKLXEcTCgq7VV3dnj0MsS7mxMUjPet4ApnKt2hHQsZydqnTJWzQwzhV6tF7TbAo814nuzuVMZmAl38FwFY9iOe8x3P+oWJD2h28tkz6gYr0LctfpqjOuBD/K3ECt158OIeMkKrLNtiGdRE7wKmjWkPTzjarHlyyhV8+s5rT3CaLnvQVE5qy8MD+jiBkgYLNpEtNemHisWXSN2/bwQLMJWZP+ahchZS32JsZY60N+2zXW95EYerRZ4wsl8zhARAI2jON3Wyu2/wG7FkPwB/jZ3DRcRMI+Qr2J6FH+IIl6eVYb9x0LJJJzcqHf8lIIK5djD/lWhYcNCQLEeYXqqv+lp7w3y/DO3+FQy+H0/8fOxpjfO+h9/ET5QS36ZFxHXRqx3MdBKGPkW9koaCwZ8Aat63CpYzHcahqdK5Cyls8oUx2N95+wE5TLWrPBgCWJCeJN/oBolxuWrSfkIp0P9O46jEAElrxJPN49KixzgWYZ9h7AGI9ddOx8crrr7Ag+iIoWFM5n7OOPTQb4eUdypZcSUSa6XURSiIG7/3HLL/zV4i18oPGq2iMxFnoeo8QxvaSg886kHAFIWsUrEiXmvTCxGOrJWXXmvRi+fBxOYgmvwkEikhohVtpkuF2JQHbMi6tS/REfialLgdMRPkJEUHFu5FJ15r4ikfxAG/rgzh21hSGlMqQlu4SsGXSE70U6TqZpOSF/8OrEiRQjD7nB1mKLv/w+O3lRQ30+prbjmVtT2Lfu5czEht4lmv59ODlZvSiNwQTTzqQcAUhaxSsSBcKE5+tBKOidQOplEzR4MIeFuIERX4PzQQppYVEpJ1Ir12VWR46jdGDpNTlQAkrP2hwxboh0neuwFNvZgQ8nTiUS46Uz39PCBRnrhIlOpum2wWrFv2TWbGlACwbdh6zRs/KSmz5iDvYtgeg198WmzIjXRKVE3DvXssZ7jcocieYG1ltNkxa2LYGXhBySME2jmqtF7S/Ab2/bikMCAK2L/vx2Abdlo7IQTT5TdDnphmTndXtso0Nm98HTNPoMTOn9Hls+UhUmffa1Z3R6VapC8DyknnMHCmtOD3BF+ilm06KWCuDXvkhAHt1MWPO/0m2QstL7GWK0falcz1h02vmvmQ4Px72G5YmzQC743kbV8Tqm5FSF6EfUbAiXShMfLZa0gmubQC0uoogUNrZU4ReEvJ5aNFW81W7Zq9YzQcArNXVHC+Nclkh5jIi3dMNkR59/1EAViZHMXvmoQU/0bLH2DKtuqfDo4AdT9zMkISxf315zOeoGCz2o/vDaysvirf20k1Ha9MsDdRVzubOxXu5JPptPvBNy+zj9sPkUw4kVEHIKiLShYJC2fx2h6i9ADT7ZXiLE4R8bpowfsYqast+aU1R4zoA1iSrGTuoqKOnCz0kI9K7GPZSvwXfzvcAeDo5lzNmSD9Aj/HaPrOxHmbS926icsltAKzUY5hz9pezGFh+4reL9J4M67KzZz00mROje7Yby924t5jgFQ/B2GPNPtPPB39JZ68gCH1OwdakS+NogeLbVxDGi8Uj3QmCPjct2irBsDdrNdcSiJtLyzW+0QR9MjAkG8Td1uj0ZBeZ9FWPpxeXFx/DF6vlKlKPcXuI4sFHHNVDkd706PUU6ygAL4y7jmsq5WenK/xFmfeotz0A9nr0JxuNUcBXTprM6OFD4JMPw473YMjUA4pTELKNZNKFwqKDSXXuChng4gRFPg9NVk26K24TMrtWpxcbisf3dVh5S8Jj3mtvMrLf/cLLHwHMAKPJs+ZJqUsviagOPttdse5FiteafoCHE0dzyunnOhFa3hEKhIhpczKf7K3lpVWP3qQDrNKjmVZdylXHWK5eLjdUzxZvdKHfUbCZdBlmVKB49+3aD4qziyMEvC5aLJHuidsy6bUfpBeTgyb1dVh5S9JjPtt+vZ9yl9Y9+La8CsAziUM5Y6Y0TPeWqCsAiSbc3bG8BNCa2OPX4wWatZ/XJnyJj1ZJFr07hPweWvHjpQXdy2FGetPr6eFpSeXmxnOm43FLnlLo38gnVCgs3F5i7c5Ni2SQkSMopYi4zJULTyKTbUxaIr1V+whWiT99ttAe81779X4y6R8+g0snAFhWcgxThkn9bW+JdfDZ3i/1W/DuWgHAnxOnc/FJRzkVWt4R8rlpwWS5dU97AACa61DWFby3kwdx0WGjmTmqPJshCoIjiEgXCo6UVV0KVSblLk4RdZnsrs8mZKI7jEhfp4czslKaRrOFtq4SBYmQTOoO92l+72EA6nWIUbMWSqnLARCzegC8XTXqWoQ3ZwZ4NVQfw3Sxvew2RX4PzVZ/i+pFJj2y/tX08krfNL5xykFZi00QnEREulBwRF3t6g5LRaQ7RcxtlWAkWyGZBEDtytgvjqqUoSFZwxLpIRUhHIvvuz0WxrfuOQCeS87htFmj+jK6vCOREuldNepabH7fNC4mtWLevAVOhZWX+D0uWq1Meo96ACzeffVJAOLaxUknnU5FkS+r8QmCU4hIFwqO1GXqNKXi7uIUcY9NhMeaIdKEv8UMkVqTHMHIin0beYXeoWze3S0tHTTXrX8xLSiXFR/D5KFS6nIgJNLlRd3LpEetTPoGhnP01LFOhZWXKKV616gLrKttwrPF+KOv947nvKMkiy4MHAq2cVQsGAuXuDsAMbMc9lYQkBHQjhH3FkFKw0SboTEz5XWtrmZEuYj0bOGyfY4jLU1QUdFme8PShygFItpL1azT+ji6/ENbJ6ABHSGeSO63CTEaT1LVbK4g1ZVMYbxXbEd7SsQVBA2e7jbqAlprfvLwEn6nzFyG8oOOw+2SEi9h4CCZdKHgSPlJA8SLZZCLkyTtQ18iTVCbsV/cHRpLQMRK1nD7M+91a0u7qYzJBJ4PzSX/l5OHcPLsCX0ZWl6STPUAqAjN0cR+933n/ZUMYQ8AoTGzHY8tH+nJRN0UT71fQ8PaN/Epc3yqps53JDZBcIqCzaSLBWPhkvRkRLqrXOpynUR7bRenok1pj/SEViQrxCM9m7gDGZEebW3XXFeznFBsNwDLiudx4hC5aHigKGswWogwzZE4ZUFvp/t+sPQVUl4uY6fP64Po8o+YOwSJtk3o+0Nrzc+eWMlprozlK6OPdCg6QXAGyaQLBYc3kCkLCAwSke4o9gmv0SawmkY36yEMrRQLtGzisWXSY61tM+k7N32YXh4+5Yg+iymfyYj0CC3RDhp1LZJJTevGjLNL0WjJpPeGVA+At5s9AKtrmthQ18LclEivGAslwxyKThCcQUS6UHAMGzwovewqF2cXJ1F+u0hvRtcasbhGVzOqUurRs4k3kMmOt8+k796xIb08ZbI0zmUDt9+qSVcxmlqjne63ZPMexsXWANAUHAGhyj6JL9+Ip52iuifSF32wE0WSuS6rxG60+NILAw8R6ULB4bY3ior9oqMoX2nmQete2L0WME2jIyukYTeb+EKZE6J4pK27S3TvNrNeuxg+XD7z2cDlz5wUhdv3ANh46v0apqkNAHhHznI6rLwl1QPgJwrJ/fcAACz6oJbJagulyiqPkVIXYQAiIl0oPOwlGGUyFt1JPMGMkNE1y1FJY6uzRov9YrbxBzOWivFwu7rdBuOqU0s5g0vl5CgbeINdi3StNa8u/5BRrloA/KOk1KXXeG2f2y4GGjWGY7y9cTeHtalHl0y6MPAQkS4UHl6bOCwVke4krkBGOCa3Zupy1yYlk55tAjbRmGiXSfe17gBgt3swLrGgywqeNo26HfjSAx/UNFK6d2VmxXDJpPca+xXQ2P6bR19ZU0csoTk0VeoSrIBBkxwMThCcoWDdXcQnvYApsYYX+UqgRCwYncReJ+3avjS9vJZqqssDuQgpb/GHMidEOtpWxBRFTCa32VfVpzHlM/YrF52J9KeW13CIWp9ZMXym02HlLz67U9T+M+kvrt6JlzhHu1aYFaOOBJfkJIWBR8GKdKGAmXkRNO0wX9weGQ/tJMFAgLD2ElAxVNQImVpdRrBkMH6PeKRnE18wk9ltL9IrErsAiIbE3SJb+EL28qJORPr7O7jatcE8KBkOxUP6ILL8xOWzuxc10ZnhpdaaRR/Ucrn7SYYq403PpIXOBygIDlCwIl180guYQCmc+L1cR1EQBH1umgkQSI14JdU0KvXoWcfbcTlApHkvxVgDYMSCLmv4beVF8fC+md3Nu1tYsb2Bab4NZoVk0Q8Il+2qXKSlsVORvrqmiVh9DV/0P2hWDJ4Mcz7pfICC4ABy/UcQBMco8rtp1m3LWtYkqxlVKfXoWcftJZbKu9hEeu22jellb4X0YGQLl81eNBHZV6Q/9f4Oimlhgss07YpIPzA8bUR6Q6f7LfpgJ1/33EuJsk5MT/kpuDsfNCUI/RkR6YIgOEbQ66GZtiJdMunOEcYPgCueGZ2+tyYj0osGy/CurOG1lRd1INKffr+Gg9WmzIphM/oiqrzF7qYTbe3c8nLTslf4mPtFAPTkU2DSSY7HJghOISJdEATHCPncNNNWkIv9onNElSXSYxmR3rxrc3q5fOiYPo8pb7G5jeh2jYx7mqO8vXE3h7ikaTRbeG1OUbFOegCawjHO3fkbXEoTVx7UyTf2VXiC4Agi0gVBcIyQz02L9rdZtyY5glFiv+gIEZc5+XEnMiI9tmdrermqWkR61uikBwBg1Y5GkhqmuayrGMFKKJMhUgeCL2TrAejETWfdC39N2y5uPegyGDyxT2ITBKcQkS4IgmOE/B6abJn0Zu1nO5Xike4QcZc5IfIkMyJdNxqP9CaC+IvKcxJXXmJzG1HtRPqaWiMip6XsF4fPBCX+9AdCwGZ52VEPANFmxiy+CYBduowhp3+3r0ITBMcQkS4IgmOEvG5abDXpa3U1LqUYLh7pjhBzmxMiTyKcXudvMSJ9j3twTmLKW9w+EtZPqCveVqSv3dmEnyiTlHUVQ0pdDphgUSaTnozsm0nXL/0/ymJmHsBDgz5FsKSiz2ITBKcQkS4IgmMEfW6abeUua3U1w8uCeN3y1eMECUuk+5MZkV4UtQYZ+WWQUVZRimiqvMjWqAuwtraJKWoTHpU0K0SkHzChgJ9WbeZatO8BINaKfu02AN5LjsM1++K+Dk8QHEF+KQVBcAy/x0WLrdxlTXIEI6Rp1DESHvPeenUEgGRSU2kNMooFxSM928Rc5oqQJ9FOpO9s4pDUECMQkZ4FQj43LZZ70T4iffd6XHFzYvrX+CksmDK0r8MTBEcQkS4IgmMopYi5M/XnYr/oLElLpAe0ESy1DS1UsRcAXTo8Z3HlK6nyIq9NpDdH4myrD2fq0f2lUDEuF+HlFSGfhxZr5oJqL9L3ZmxGwyVjGTe4CEHIBwp24qhSalEHq4s7WCcIwgEQdYfAuuq/RldzujSNOob2mPc2QIR4IknNji0MtUoufOXVuQwtL0mVF3mTYbTWKKVYV2sEZDqTPmwGuCQfdqD4PC5aLYtR1a4HIFa3Pj2BdOykg1HSpCvkCfLNIQiCoyzzz6ZRB1manMA6yaQ7i9e8t0EitMQS7N2RGaZTXCWDjLJNwjopChImHDMnQ2tqG/ES5yBl+dNLqUvWCCurB6Cdm07TjrVmu/YyafyEPo9LEJyiYDPpWusF7dcppfYCZX0fjSDkLzsD4zhsz+2E8QFK7BedxJcSjVF2RxM019kHGY3NUVD5i7ZOikIqQnM0TtDnZu3OZsap7fhV3Ow0bHoOI8wvoioAuu0cAIDYLlNatEVXMXqQXBAX8gfJpAuC4ChFPrc1rt5cgh5VKZl0p3BZIt2rEjS3tBC3DTKSTHr20V5T+xwkQnPEiPK1tU2MU9szO1VNzkVoeUm0k0ZdT4M5Gd2sqxhdKUkAIX8QkS4IgqMEfe70stulGFYqHulO4fJnsojhliZU4zYA4+ddNCRXYeUtyjopChGhOZIAYM3OJibYRXqllF9ki5hVXuRN2MpdtKaoZQsA29VQBhf7chGaIDiCiHRBEBwlZBPpw8sCeMQj3THc/kwWMdrahLd1JwCN7gpwF2x1o2Moa+poSEVoicaJJ5JsqGvOZNKLqiAoU16zRdxq1PXZ5gDQugd/0oj2ptAIaRoV8gr5tRQEwVFCvow4HCX16I7iCWSs5yKtTRRbg4yafDLIyAlc/ky5S1MkzqbdLcQSmnEuM+WVQZNyGF3+kbTsXP3aJtL3bEgvxkulpEvIL0SkC4LgKPZyF3F2cRavrdxlb309g5N1AMSKZJCRE7gtkR4iQkskzlrLfjGdSR8kpS7ZJOG1LEZ1GLQGQO/JeKS7B4kfvZBfiEgXBMFRitqIdMmkO4k3mBHp22vrGKZ2mwclMsjICTwB8367lKa1tZk1O5soo4lBqtHsMGhiDqPLP7Ql0t0kIW6m6jbXrE1vLx4qJ0VCfiEiXRAERwnayl0kk+4svmCm3GVv3Q7KlKnV9VWMzFVIeY39pCja0sja2ibG25tGRaRnF5/tJN/ySm/duQ6ABh1i2FC5YiTkFyLSBUFwFHvj6CixR3OUgE00uvesTy8XV4lIdwKf7f2OhU0mvY394mCpSc8mypd5v3XEXK1IWjXpYr8o5CMi0gVBcJSyoDe9LD+izuIPlaSXK8OZQUYlg0fnIpy8x2PrAYi2mkx6umlUuaBibG4Cy1NSbjpg3IsAfI0pj/QhUk4n5B0DWqQrpS5VSr2jlNqjlGpVSq1USn1NiQeTIPQbPjJtGCdMGcIXTpjIsDLxSHcSl60cYKzakVlfVp2LcPIeu2is27OHxnA8k0kvHw0ef44iy09SjboA4ZZGSCYpCZv3u847rE2TuiDkAwPdOHcncAPwARABjgV+B8SBX+cwLkEQLCqKfNxx+WG5DqMwsInGcS5b2UWpNI46gu2kaPOOOqCc8amTI6lHzzruQObKRaS5EZp24NExAFqLpKRLyD+6nUlXSh2qlLpeKfWAUmqrUkorpZq68byQUupGpdRapVRYKbVZKfVbpdSgAwsdtNZPaa0f0lqv1Fqv01rfBTwFLDjQ1xYEQRhweDONudWWs0tEBcFfmquI8htv5qSoubkBRdJmvygiPdt4A5lyrli4CWz2i7psTC5CEgRH6Ukm/bvAR3vy4kqpILAIOAxYBzwMTAOuAU5VSh2hta7tyWvu528p6+/MA36cjdcUBEEYUHgCJFG40OlVzf4q/FIB6Ay2THqICMPYQ1BFzQoR6VmnjZtOawPRulZ8qW1V4pEu5B89EemvAe8Cb1m3HfvfHYDvYITzA8CFWus4gFLqVuALwK+AS1I7K6WKgeIOXsdOk9Y6ncFXSpUBWwEf5srAD7XWt3bz/0kQBCF/UIoIfoJkJjLGQ0NzGFCe47WJdBVuW2IkIj3r2N104uFmmlrqqLQelw0Tj3Qh/+i2SNda32R/3FVvplLKB1wLxIBrUgLd4uvARcDHlVLXaa1Tgv864PtdhHITcL3tcSMwCwgBRwM/VUpt01r/pYvXEQRByDuirgDBpG1seqk0jTqGrQcgSEQ80h0mUJQp20qEm4jUG4/0Wl3GiCEHXEErCP0OJxtHjwHKgOe01jX2DVrriFLqUeBK4FTgTmvTz4BbunjdsP2B1joJrLEevqeUqgB+AohIFwSh4Ii6ApDMPPZVjshdMPmOt225yxC11zzwBKFU3vds4y/K1KQnI02ovZsA8UgX8hcnRfpM635xJ9sXY0T6jNQKrXWYdiK8F7gA8b0SBKEgibna2lwWDR6Vo0gKAG8w3QMQVBFb0+gEcA1oh+N+SVEwRFy78KgkyWgLweYtAGxlCLNK5GdfyD+cFOmpX4YtnWxPre/1lA2l1A+BlzBNqV7gOOCbZDLz7fff28VLlvU2FkEQhP5Awh1s89hbLhldx1CKuCuAL9lKiAjj0vaLUh/tBEG/hxYClNKCK1xPSXQnAA2BalwuaY4W8g8nRXqqw6Olk+3N7fbrDaXA74ERmAz8OuBb1jpBEISCI95OpFMiHulOEncH8SVbKaOZUcqIRqlHd4aQ180u/JTSQknTOlxWXVe0WK4WCfmJkyI9dVqru9jea7TWXwG+0oP9y/e33cq0SzZdEIQBS9LTbqqriHRHibuDEIODXJtxK+vnTkS6I3jcLlqtatZBzWvS61Xl2BxFJAjO4mTRXKN1X9TJ9lSXR5cDkQRBEITuoW3NjBoFJcNyGE3+k/SYKxdT1ObMShHpjhFW5v0OxTPVq8Eh43MVjiA4ipOZ9NQ3VmezelOFkpscjKFTlFKLOlh9IKU3giAIOUd7MuUuYV8lQbc3h9HkP0nrpMivYpmVItIdI6oCba7PJ7SiYrgMMhLyEycz6e9a97M62T7Hul/mYAyCIAiFhW0KZqxIsuiO421n/ReshFBlx/sKB0zU3bacazuDGDVYqlSF/MTJTPrLQAMwXylVpbWuTW2wBh2diXHzfcLBGDpFa72g/TqpSRcEYaDj8WcqDF2lUo/uNL5gSdsVkkV3lJir7UnR5uQQpotHupCnOCbStdZRpdTtmOmgtyulPm6bOnoTMAT4p9Z6e6cv4iBS7iIIQj4yauhgWG2WxSPdeYpLStuuEJHuKHFPEKKZxzs9Qyn2O5lvFITc0e1PtlLqdOC77VYHlVKv2x5fo7W2Dy+6AVgInA/MVkq9DUwFpgMbgS/3KmpBEAShQ+yZdFVancNICoT25S7ike4oCU/b97s5KHMAhPylJ6efVcAR7da52q1rk1LQWrcopeYD3wEuBM4BdmF8zL+rtd7V44izhJS7CIKQl/hshlpiv+g8vnYGZoMn5SaOAiHZTqTHS3s9D1EQ+j3dFula678Cf+3pH9BaN2MGDH2rp88VBEEQeojXNsxIatKdZ59MupS7OIlu9357Bomzi5C/FGwhl9SkC4KQl4QGZ5bLx+YsjILB106kV4pnt5Nob9srF8XDpLxIyF8KVqQLgiDkJRNOgLlXQmk1DJasruPYRWPZqLZXMoSso2zlRRHtpWq4lLsI+UvBinSpSRcEIS/x+OCMX+U6isLBnkmXUhfHUf7M+71FD2bUoM6GmgvCwMfJYUaCIAiCkN/YM+ki0h3H7c9UpW5hCMPL5MqFkL8UbCZdatIFQRCEA0Yy6X2KXaTv8Q3H7VI5jEYQnEUy6YIgCILQW/w252HpAXAcbzAj0luLRuYwEkFwnoLNpEtNuiAIgnDAjD4SJp0CLg+Mm5/raPIeV/GQ9HK8Qk6KhPymYEW6IAiCIBwwbi9c/O9cR1EwuAZP4ObYBVSqRpJjTsh1OILgKCLSBUEQBEEYEAwu9nN74mwA/jy0PMfRCIKziEgXBEEQBGFAMHZwEd/4yEHsbopy/JQhXXoxLGsAAAtSSURBVD9BEAYwBSvSxd1FEARBEAYe1yyQWnShMBB3F0EQBEEQBEHoZxRsJl3cXQRBEARBEIT+imTSBUEQBEEQBKGfISJdEARBEARBEPoZItIFQRAEQRAEoZ9RsDXp4u4iCIIgCIIg9Fckky4IgiAIgiAI/YyCzaSLu4sgCIIgCILQX5FMuiAIgiAIgiD0M0SkC4IgCIIgCEI/Q0S6IAiCIAiCIPQzlNY61zH0G5RSSUCVlUlZuiAIgiAIguAc9fX1AFpr3WHSXES6DaVUHHN1oSEHfz51ZlCfg78tdI4cl/6JHJf+ixyb/okcl/6JHJf+S18cm1IgqbXu0MhFRHo/wXKWQWtdnutYhAxyXPonclz6L3Js+idyXPonclz6L/3h2EhNuiAIgiAIgiD0M0SkC4IgCIIgCEI/Q0S6IAiCIAiCIPQzRKQLgiAIgiAIQj9DRLogCIIgCIIg9DNEpAuCIAiCIAhCP0NEuiAIgiAIgiD0M8QnXRAEQRAEQRD6GZJJFwRBEARBEIR+hoh0QRAEQRAEQehniEgXBEEQBEEQhH6GiPQco5QKKaVuVEqtVUqFlVKblVK/VUoNynVs+Yr1np+jlLpTKbVMKdWolGpSSr2jlLpOKeXr5HkepdTXlVIrlFKtSqkdSqm/K6XG9PX/Q6GglCq33metlFq+n/2uUkotVkq1KKV2KaUeVErN6MtYCwWl1Gil1O+UUuut76xapdTLSqlrO9hXvt/6AKXUMUqph5RSNUqpmFKqTin1tFLqrE72l+OSJZRShyqlrldKPaCU2mp9VzV18Zxe/ZbI91z36clxUUp5lVKnKKVut97fPdZ7vFwpdYNSqrSLv+XccdFayy1HNyAIvAloYC1wL7DcerwOqMp1jPl4Az5lvcfaer//DTwJNFjrXgeK2z3HBTxsbd9mHas3rMd1wKRc/3/l4w34I5BMHatO9vmNtX0PcB+wyHpOKzAv1/8P+XQDTgAarfd7CfBP4BmgBni73b7y/dY3x+QS27+R14F/AS/b1n1Hjouj7/9Dtt+T1K1pP/v36rdEvuecOy7ASbZ91gD3A48AtbZ1w3NxXHL+RhbyDfiJdXDvBzy29bda6+/OdYz5eAM+Cdze/ssQGA4stt77m9pt+7S1/lVsAh74qrX+5Vz/f+XbDTjG+rL7I52IdGChtW01MNS2/jxr/XrAm+v/l3y4AWMwAr0BOLndNjcwp906+X5z/pj4LXGQAM5ot20+EAVidoEhxyXrx+CbwA+BM4Ch+xOD1v49/i2R7zlnjwsm+XAPMLvd+jJMAk8D9+biuOT8jSzUG+AD9lpfokPbbfMDO60v3mG5jrWQbsBRqX9c7davtNbP7uA571rbDst1/Plys/59rLDe98n7EelPWNvO7mBbKlv1sVz//+TDDZOh1cAV3Tx+8v3m/DGZax2TtzrZnhIYp8lx6bNj0pVI7/FviXzPOX9c9vO84dZzw4Cvr4+L1KTnjmMwZ2n/01rX2DdorSPAo5jLYqfmILZC5l3rvjq1Qik1HpgCrNVaL+ngOfdZ92c4HFshcT1wMHANRlDsg1IqCByPuaz4WAe7yHHJEkqpSuBcYBfw9248Rb7f+oZIN/fbbd3Lcckhvfktke+53KK13o4pe/ED6Z6NvjouItJzx0zrfnEn21PrpSmkbxlv3dt/wORY9SFKqcnAt4G/a61f2M+uUzBfnMu11rEOtstxyR7zAC/wIuBSSl2slPqNUupWpdTlSqlQu/3l30zfsArYAsxRSrURA0qp+ZjL+CuBt6zVclxyS2/ef/meyyFKqXKgAlM2tse2qU+Oi+dAniwcEKOs+y2dbE+tH90HsQgZvmTdP2pbJ8eqb/kDJjtxXRf7yXHpO6Za93WY5sTZ7bb/SCl1utZ6mfVYjk0foLWOKaUuBx4EHlVKvQ5sBEZgTqxeBi7VWiesp8hxyS29ef/lmOWWazFa+XGtddi2vk+Oi2TSc0exdd/SyfbmdvsJDqOUOg24CqgHbrRtkmPVRyilrgQWAN/SWu/sYnc5Ln1HhXV/JTABuBSoxPQL3I35wXrUllGXY9NHaK2fA04EtgJHAhdiylrqgacwDiIp5Ljklt68/3LMcoRSajbwHUwW/TvtNvfJcRGRnjuUda+72C70AUqpgzFiQwGf1VpvtW+27uVYOYhSqgr4OcYe7o/deYp139lxEbKH27r3AJ/XWt+ttf7/7d1fiBZVGMfx7yNbLInUikiQ4HoRIZVKikIX7V5ESWuGJXRRgRf9v6mg6CowCIwu3CCooCCECEJYCy8sK4xlq4sigkVIIjUr6iLoH7El5tPFc6adHd7ZP+/ue+bl3d8HhoNnzrzOzsN75sx5z5zzq7t/4+73EcMp1gP3pHL6zmSSetI/Iabx20Q0CjYRU8E9x/TYWFBcmtbO9Vc91wAzuxIYA/qJaUyr7xBkiYsa6c35M6Ura/YXPVKzLoogi2dm64hZEAaIHty3K0UUqzxGiZfaHnb3i/MoP1dcinzFZfGKa32emKqs6o2UDlXK6zvTQWZ2DfAaMEnMIjHp7n+lYUd7ibnsd5vZznSI4tKsdq6/6rnM0uJFx4BB4FV3f6FFsSxx0Zj05nyf0nU1+69K6bkM57Jsmdka4Dgxbuyguz/fophilccu4qfDUbMZHUr9Kd1gZh+Xyiou+RTX8IfS+Oaysyldm1LFJo+7ifv4WPXB1t3/NbMjxPsDQ0RHhOLSrHauv2KWUZq15SiwBThMjElvJUtc1EhvTjHV35aa/TekdLJmvyySma0inpY3Aoeof1FRscpnFdO9sVWXlfb1ETNbnAeuNbNLWrxhr7gsneI7MFCzf3VKi3GY+s7kUTQE/qjZ/3tKi7gpLs1q5/qrnsvEzPqIhvlNwIfAvbP8qpslLhru0pwJomIdSmNx/2dmlwK3E6stHmvg3HqemfUTy/5uS+n9nlYgqHL308Ap4Goz29yiyF0pbTVXqsyTu1/h7lbdgA2pyMlS/m/uPgWcIBrvt7X4SMVl6XxFzFYwYGatphQrHp6KcZuq3/L4OaXbavZvT+l3KVVcGtTOvUT1XB4WP98eAkaI9zv2uHvLNTogY1yaXgVqOW/AAeKlg8PMXJ55NOW/1fQ59uJGvAR3JF3jE0D/PI55KJWfAFaW8h9P+Z82/Xf16kaMC6xbcfTWtO8UsLaUv4dobJylskqctrbj8ES61uPA5aX8m4kepX+A9aV81W+dj0mx4ugFYFdl353E6qEXgY2KS7aYzLXi6ILvJarnssTlpVTmJLB6np/Z8bhY+kBpQJqubBzYCnwLfEHMR3w90fOx3eeehk4WyMweA15M/xxj+gWQGdx9X+mYFUSP+wgxpdkEMZvFDmKBgxvd/evOnfXyZWaDwBmiJ/26FvtfBh4h4vARsSrcMNFwvMXdx3Oday9LPwUfBXYSy8d/Bqwhpv1bATzo7q+Xyqt+y8DMDhIPUBDX+AyxKNvWlPesu+8vlVdclpCZjQDPlLJ2EA20z0t5j7r7l6l8W/cS1XMLs5C4mNkdwDsp7zjwU83HPunuv1T+n87Gpemnm+W+EW8AHwBOEz1RPwKvAGuaPrde3YD9xNPvrFuL4/qAp4kV/P4mViV9Exhs+m/q5Y1ZetJLZR4ghlpMEUugvwtsbvrce21L34GniN6mqXRjeg8Yrimv+i1PXPYCHxCLTV1I6fvAbsWl49d+3zzuJ8OVY9q6l6ie60xc5lnW6+LTybioJ11EREREpMvoxVERERERkS6jRrqIiIiISJdRI11EREREpMuokS4iIiIi0mXUSBcRERER6TJqpIuIiIiIdBk10kVEREREuowa6SIiIiIiXUaNdBERERGRLqNGuoiIiIhIl/kPZlNBFAR2jO0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "COMPONENTS = training.COMPONENTS\n",
    "epochs = log_df['epoch'].values\n",
    "\n",
    "display(log_df.head(2))\n",
    "plt.plot(epochs, log_df['lr'])\n",
    "plt.title('Learning Rate')\n",
    "plt.show()\n",
    "\n",
    "plt.plot(epochs, log_df['mof_acc'])\n",
    "plt.title('Valid MOFs on validation set')\n",
    "plt.ylim([0,100])\n",
    "plt.show()\n",
    "\n",
    "plt.plot(epochs, log_df['mean_r2'],c='g',label='valid')\n",
    "plt.ylabel('mean r^2')\n",
    "plt.show()\n",
    "\n",
    "results=[]\n",
    "for label in hparams['y_labels']:\n",
    "    metric = f'{label}-r2'\n",
    "    results.extend([{'epoch':epoch,'r2':value,\"prop\":label} for epoch, value in log_df[['epoch',metric]].values ]  )\n",
    "prop_df = pd.DataFrame(results)\n",
    "sns.lineplot(x='epoch',y='r2', data=prop_df)\n",
    "plt.show()\n",
    "\n",
    "for label in COMPONENTS:\n",
    "    plt.plot(epochs, log_df[f'λ_{label}'], label =label)\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "for label in COMPONENTS:\n",
    "    plt.plot(epochs, log_df[f'train_{label}'], label='Train')\n",
    "    plt.plot(epochs, log_df[f'test_{label}'], label='Test')\n",
    "    plt.title(f'Loss {label}')\n",
    "    plt.yscale(\"log\")\n",
    "    plt.legend()\n",
    "    plt.show()\n",
    "\n",
    "for prefix in ['train','test']:\n",
    "    for label in COMPONENTS:\n",
    "        plt.plot(epochs, log_df[f'{prefix}_{label}_ratio'], label=label) \n",
    "    plt.title(f'Loss Ratios ({prefix})')\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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