Alternative Performance.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "097659d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ['KMP_DUPLICATE_LIB_OK']='True'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d7bf2328",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pickle\n",
    "#import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import torch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f5828dc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "save_dir='model_storage/'\n",
    "compare = ['MLP', 'GCN', 'GAT', 'SAGE', 'HeteroGNN', 'HGT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "df46d3b9",
   "metadata": {},
   "outputs": [
    {
     "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>ATT_loss</th>\n",
       "      <th>VAL_loss</th>\n",
       "      <th>ATT_acc</th>\n",
       "      <th>VAL_k_acc</th>\n",
       "      <th>VAL_k_jac</th>\n",
       "      <th>VAL_1_acc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.202157</td>\n",
       "      <td>2.321530</td>\n",
       "      <td>17.479675</td>\n",
       "      <td>58.128079</td>\n",
       "      <td>21.223318</td>\n",
       "      <td>24.137931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.215696</td>\n",
       "      <td>2.316698</td>\n",
       "      <td>15.650407</td>\n",
       "      <td>59.605911</td>\n",
       "      <td>23.850575</td>\n",
       "      <td>18.719212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.207688</td>\n",
       "      <td>2.320378</td>\n",
       "      <td>16.869919</td>\n",
       "      <td>58.620690</td>\n",
       "      <td>20.525452</td>\n",
       "      <td>16.256158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2.197887</td>\n",
       "      <td>2.317570</td>\n",
       "      <td>17.886179</td>\n",
       "      <td>60.098522</td>\n",
       "      <td>23.399016</td>\n",
       "      <td>23.152709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2.198714</td>\n",
       "      <td>2.320824</td>\n",
       "      <td>17.479675</td>\n",
       "      <td>58.128079</td>\n",
       "      <td>21.962234</td>\n",
       "      <td>19.704433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>2.182323</td>\n",
       "      <td>2.321458</td>\n",
       "      <td>19.715447</td>\n",
       "      <td>55.665025</td>\n",
       "      <td>21.305419</td>\n",
       "      <td>19.211823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>2.196054</td>\n",
       "      <td>2.319687</td>\n",
       "      <td>18.089431</td>\n",
       "      <td>53.694581</td>\n",
       "      <td>21.921183</td>\n",
       "      <td>14.778325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1337</th>\n",
       "      <td>2.223071</td>\n",
       "      <td>2.326894</td>\n",
       "      <td>14.430894</td>\n",
       "      <td>53.694581</td>\n",
       "      <td>20.320198</td>\n",
       "      <td>18.226601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>2.200048</td>\n",
       "      <td>2.315002</td>\n",
       "      <td>17.479675</td>\n",
       "      <td>58.128079</td>\n",
       "      <td>23.275863</td>\n",
       "      <td>19.704433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4399</th>\n",
       "      <td>2.178300</td>\n",
       "      <td>2.326259</td>\n",
       "      <td>20.528455</td>\n",
       "      <td>55.665025</td>\n",
       "      <td>21.444993</td>\n",
       "      <td>13.793103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ATT_loss  VAL_loss    ATT_acc  VAL_k_acc  VAL_k_jac  VAL_1_acc\n",
       "0     2.202157  2.321530  17.479675  58.128079  21.223318  24.137931\n",
       "1     2.215696  2.316698  15.650407  59.605911  23.850575  18.719212\n",
       "2     2.207688  2.320378  16.869919  58.620690  20.525452  16.256158\n",
       "42    2.197887  2.317570  17.886179  60.098522  23.399016  23.152709\n",
       "100   2.198714  2.320824  17.479675  58.128079  21.962234  19.704433\n",
       "233   2.182323  2.321458  19.715447  55.665025  21.305419  19.211823\n",
       "1024  2.196054  2.319687  18.089431  53.694581  21.921183  14.778325\n",
       "1337  2.223071  2.326894  14.430894  53.694581  20.320198  18.226601\n",
       "2333  2.200048  2.315002  17.479675  58.128079  23.275863  19.704433\n",
       "4399  2.178300  2.326259  20.528455  55.665025  21.444993  13.793103"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rand = pd.read_csv(save_dir+'Random/val_metrics.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "rand['VAL_k_jac'] = rand['VAL_k_jac']*100\n",
    "rand"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "429c7005",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = {}\n",
    "choice = ['vis', 'tex']\n",
    "for c in choice:\n",
    "    mask[c] = {}\n",
    "    for model in compare:\n",
    "        now_dir = save_dir + model + '/'\n",
    "        temp_df = pd.read_csv(now_dir + c + '_masked_val_metrics.csv', sep='\\t', index_col=0)\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        mask[c][model] = ((np.array(temp_df)).mean(axis=0).round(2),(np.array(temp_df)).std(axis=0).round(4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "134dc33b",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    metrics[model] = {}\n",
    "    if model == 'GCN':\n",
    "        temp_df = pd.read_csv(now_dir+'knn_val_metrics.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "    else:\n",
    "        temp_df = pd.read_csv(now_dir+'val_metrics.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "    temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "    metrics[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "85a8d0d7",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics_o = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    metrics_o[model] = {}\n",
    "    temp_df = pd.read_csv(now_dir+'val_metrics.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "    temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "    metrics_o[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5e95b17c",
   "metadata": {},
   "outputs": [],
   "source": [
    "metrics_k = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    metrics_k[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'knn_val_metrics.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        metrics_k[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1c4b8199",
   "metadata": {},
   "outputs": [],
   "source": [
    "SOC = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    SOC[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'SOC_val_metrics_transfer.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        SOC[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e7ea1256",
   "metadata": {},
   "outputs": [],
   "source": [
    "SPA = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    SPA[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'SPA_val_metrics_transfer.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        SPA[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d39a1ff7",
   "metadata": {},
   "outputs": [],
   "source": [
    "TEM = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    TEM[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'TEM_val_metrics_transfer.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        TEM[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8d389d1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "nSOC = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    nSOC[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'NO_SOC_val_metrics_transfer.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        nSOC[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a648f6fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "nSPA = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    nSPA[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'NO_SPA_val_metrics_transfer.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        nSPA[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "84bd05d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "nTEM = {}\n",
    "for model in compare:\n",
    "    now_dir = save_dir + model + '/'\n",
    "    nTEM[model] = {}\n",
    "    try:\n",
    "        temp_df = pd.read_csv(now_dir+'NO_TEM_val_metrics_transfer.csv', sep='\\t', index_col='Unnamed: 0')\n",
    "        temp_df['VAL_k_jac'] = temp_df['VAL_k_jac']*100\n",
    "        nTEM[model] = (((np.array(temp_df)).mean(axis=0).round(2)), \n",
    "                         ((np.array(temp_df)).std(axis=0).round(2)))\n",
    "    except:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2ca4ea7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'vis': {'MLP': (array([ 2.23,  1.65, 14.23, 99.51, 75.45, 80.79]),\n",
       "   array([0., 0., 0., 0., 0., 0.])),\n",
       "  'GCN': (array([ 1.02,  1.64, 87.6 , 99.01, 73.4 , 77.34]),\n",
       "   array([0., 0., 0., 0., 0., 0.])),\n",
       "  'GAT': (array([ 2.07,  1.63, 20.75, 99.51, 76.15, 79.85]),\n",
       "   array([6.000e-04, 1.000e-04, 5.178e-01, 0.000e+00, 3.602e-01, 1.478e-01])),\n",
       "  'SAGE': (array([  2.27,   1.63,  22.34, 100.  ,  77.79,  79.26]),\n",
       "   array([1.700e-03, 2.000e-04, 2.122e-01, 0.000e+00, 4.777e-01, 4.092e-01])),\n",
       "  'HeteroGNN': (array([ 2.15,  1.68, 15.18, 96.4 , 65.76, 69.11]),\n",
       "   array([2.600e-03, 6.000e-04, 4.070e-01, 3.847e-01, 6.459e-01, 5.849e-01])),\n",
       "  'HGT': (array([ 2.15,  1.67, 17.28, 99.01, 70.69, 77.34]),\n",
       "   array([0., 0., 0., 0., 0., 0.]))},\n",
       " 'tex': {'MLP': (array([ 0.79,  2.05, 99.19, 60.1 ,  1.23, 23.15]),\n",
       "   array([0., 0., 0., 0., 0., 0.])),\n",
       "  'GCN': (array([ 0.85,  1.81, 91.46, 67.49,  8.46, 22.66]),\n",
       "   array([0., 0., 0., 0., 0., 0.])),\n",
       "  'GAT': (array([ 0.81,  1.95, 98.56, 70.34,  0.25, 22.66]),\n",
       "   array([1.000e-04, 4.000e-04, 1.095e-01, 5.745e-01, 0.000e+00, 4.406e-01])),\n",
       "  'SAGE': (array([ 0.79,  1.8 , 96.08, 70.3 ,  7.71, 19.7 ]),\n",
       "   array([4.000e-04, 4.000e-04, 2.413e-01, 5.849e-01, 3.876e-01, 9.347e-01])),\n",
       "  'HeteroGNN': (array([ 0.83,  1.94, 96.1 , 67.09,  9.31, 17.64]),\n",
       "   array([6.000e-04, 1.000e-03, 2.189e-01, 9.295e-01, 4.092e-01, 6.535e-01])),\n",
       "  'HGT': (array([ 0.87,  1.97, 96.75, 59.61,  4.43, 21.67]),\n",
       "   array([0., 0., 0., 0., 0., 0.]))}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e69196e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'MLP': (array([ 0.79,  1.63, 98.98, 99.51, 75.78, 80.79]),\n",
       "  array([0., 0., 0., 0., 0., 0.])),\n",
       " 'GCN': (array([ 1.39,  1.67, 67.58, 97.78, 65.52, 73.65]),\n",
       "  array([0.01, 0.  , 0.62, 0.59, 1.06, 1.02])),\n",
       " 'GAT': (array([ 0.8 ,  1.62, 98.07, 99.51, 76.32, 80.39]),\n",
       "  array([0.  , 0.  , 0.1 , 0.  , 0.21, 0.43])),\n",
       " 'SAGE': (array([ 0.79,  1.63, 95.71, 99.95, 77.17, 80.69]),\n",
       "  array([0.  , 0.  , 0.21, 0.15, 0.38, 0.72])),\n",
       " 'HeteroGNN': (array([ 0.81,  1.62, 96.63, 99.11, 77.33, 84.73]),\n",
       "  array([0.  , 0.  , 0.24, 0.2 , 0.6 , 1.14])),\n",
       " 'HGT': (array([ 0.84,  1.63, 96.95, 98.03, 73.81, 79.31]),\n",
       "  array([0., 0., 0., 0., 0., 0.]))}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics_o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e0ca5540",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'MLP': {},\n",
       " 'GCN': (array([ 0.85,  1.64, 91.87, 99.51, 69.21, 74.38]),\n",
       "  array([0., 0., 0., 0., 0., 0.])),\n",
       " 'GAT': (array([ 0.82,  1.62, 97.15, 99.51, 74.79, 80.3 ]),\n",
       "  array([0., 0., 0., 0., 0., 0.])),\n",
       " 'SAGE': (array([  0.84,   1.65,  91.46, 100.  ,  74.22,  77.34]),\n",
       "  array([0., 0., 0., 0., 0., 0.])),\n",
       " 'HeteroGNN': {},\n",
       " 'HGT': {}}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics_k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "19586674",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'MLP': {},\n",
       " 'GCN': (array([ 4.01,  2.32, 45.37, 71.43, 37.15, 46.01]),\n",
       "  array([0.01, 0.02, 0.64, 1.28, 0.68, 1.06])),\n",
       " 'GAT': (array([ 0.8 ,  1.63, 97.97, 99.01, 76.26, 79.95]),\n",
       "  array([0.  , 0.  , 0.  , 0.  , 0.29, 0.23])),\n",
       " 'SAGE': (array([ 0.81,  1.63, 94.9 , 98.52, 76.06, 79.26]),\n",
       "  array([0.  , 0.  , 0.17, 0.  , 0.36, 0.46])),\n",
       " 'HeteroGNN': (array([ 1.46,  1.69, 62.34, 95.67, 66.72, 71.77]),\n",
       "  array([0.  , 0.  , 0.26, 0.37, 0.33, 0.38])),\n",
       " 'HGT': (array([ 0.84,  1.63, 96.95, 98.03, 73.48, 79.8 ]),\n",
       "  array([0., 0., 0., 0., 0., 0.]))}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SOC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "49af09a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[98.98, 91.87, 98.07, 95.71, 96.63, 96.95],\n",
       "       [99.51, 99.51, 99.51, 99.95, 99.11, 98.03],\n",
       "       [75.78, 69.21, 76.32, 77.17, 77.33, 73.81],\n",
       "       [80.79, 74.38, 80.39, 80.69, 84.73, 79.31]])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "o_mean = np.vstack(pd.DataFrame(metrics).iloc[0].apply(lambda x: np.array(x[2:]))).T\n",
    "o_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d65323f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.  , 0.  , 0.1 , 0.21, 0.24, 0.  ],\n",
       "       [0.  , 0.  , 0.  , 0.15, 0.2 , 0.  ],\n",
       "       [0.  , 0.  , 0.21, 0.38, 0.6 , 0.  ],\n",
       "       [0.  , 0.  , 0.43, 0.72, 1.14, 0.  ]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "o_std = np.vstack(pd.DataFrame(metrics).iloc[1].apply(lambda x: x[2:])).T\n",
    "o_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e8821da3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 14.23,  87.6 ,  20.75,  22.34,  15.18,  17.28],\n",
       "       [ 99.51,  99.01,  99.51, 100.  ,  96.4 ,  99.01],\n",
       "       [ 75.45,  73.4 ,  76.15,  77.79,  65.76,  70.69],\n",
       "       [ 80.79,  77.34,  79.85,  79.26,  69.11,  77.34]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v_mean = np.vstack(pd.DataFrame(mask['vis']).iloc[0].apply(lambda x: x[2:])).T\n",
    "v_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8e123df6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.    , 0.    , 0.5178, 0.2122, 0.407 , 0.    ],\n",
       "       [0.    , 0.    , 0.    , 0.    , 0.3847, 0.    ],\n",
       "       [0.    , 0.    , 0.3602, 0.4777, 0.6459, 0.    ],\n",
       "       [0.    , 0.    , 0.1478, 0.4092, 0.5849, 0.    ]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "v_std = np.vstack(pd.DataFrame(mask['vis']).iloc[1].apply(lambda x: x[2:])).T\n",
    "v_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "21dcc90a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[99.19, 91.46, 98.56, 96.08, 96.1 , 96.75],\n",
       "       [60.1 , 67.49, 70.34, 70.3 , 67.09, 59.61],\n",
       "       [ 1.23,  8.46,  0.25,  7.71,  9.31,  4.43],\n",
       "       [23.15, 22.66, 22.66, 19.7 , 17.64, 21.67]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_mean = np.vstack(pd.DataFrame(mask['tex']).iloc[0].apply(lambda x: x[2:])).T\n",
    "t_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "edbcd0ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.    , 0.    , 0.1095, 0.2413, 0.2189, 0.    ],\n",
       "       [0.    , 0.    , 0.5745, 0.5849, 0.9295, 0.    ],\n",
       "       [0.    , 0.    , 0.    , 0.3876, 0.4092, 0.    ],\n",
       "       [0.    , 0.    , 0.4406, 0.9347, 0.6535, 0.    ]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_std = np.vstack(pd.DataFrame(mask['tex']).iloc[1].apply(lambda x: x[2:])).T\n",
    "t_std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "05941c0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([17.56097561, 57.14285714, 21.92282502, 18.76847291])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rand_v = np.array(rand)[:,2:].mean(axis=0)\n",
    "rand_v"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4fdc4e44",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_names = ['MLP', 'GCN-kNN', 'GAT', 'GSA', 'HGSA', 'HGT']\n",
    "metric_names = ['HA Top-1 Accuracy', 'OUV Top-3 Accuracy', 'OUV Order-3 Jaccard Index', 'OUV Top-1 Accuracy']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "3c87a8ee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2592x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=2, ncols=2, figsize = (36,20), constrained_layout=True,\n",
    "                       sharex=False, sharey=False)\n",
    "for j in range(len(metric_names)):\n",
    "    metric_name = metric_names[j]\n",
    "    x = np.arange(len(compare))\n",
    "    width = 0.35\n",
    "    rects1 = axs[int(j/2), j%2].bar(x - width*2/3, o_mean[j], width*3/5, label='Original',alpha=0.8)\n",
    "    axs[int(j/2), j%2].errorbar(x - width*2/3, o_mean[j], yerr=o_std[j],fmt='o', capsize=12, color='k')\n",
    "    rects2 = axs[int(j/2), j%2].bar(x, v_mean[j], width*3/5, label='Visual Masked',alpha=0.8)\n",
    "    axs[int(j/2), j%2].errorbar(x, v_mean[j], yerr=v_std[j],fmt='o', capsize=12, color='k')\n",
    "    rects3 = axs[int(j/2), j%2].bar(x + width*2/3, t_mean[j], width*3/5, label='Textual Masked',alpha=0.8)\n",
    "    axs[int(j/2), j%2].errorbar(x + width*2/3, t_mean[j], yerr=t_std[j],fmt='o', capsize=12, color='k')\n",
    "    \n",
    "    axs[int(j/2), j%2].hlines(rand_v[j],- width ,len(compare)-1+ width, color='k',linestyles='dashed')\n",
    "        \n",
    "    axs[int(j/2), j%2].set_yticks(np.arange(0,101, 10), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_yticklabels(np.arange(0,101, 10), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_ylabel('Scores',size=40)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_xticks(x, model_names, size=45)\n",
    "    axs[int(j/2), j%2].set_title(metric_name+'\\n', size=45)\n",
    "    \n",
    "    \n",
    "    if j==2:\n",
    "        axs[int(j/2), j%2].legend(fontsize=35,frameon=False, ncol=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "3c3c304a",
   "metadata": {},
   "outputs": [],
   "source": [
    "dics = [metrics_o, metrics_k, SOC, SPA, TEM]\n",
    "dic_names = ['Original', 'kNN Links', 'SOC Links', 'SPA Links', 'TEM Links']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7e171bd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "comp = {}\n",
    "for model in compare[1:4]:\n",
    "    comp[model] = {}\n",
    "    for d in range(len(dics)):\n",
    "        comp[model][dic_names[d]] = dics[d][model][0][2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "78eb41d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "comp_n = {}\n",
    "for i in dic_names:\n",
    "    comp_n[i] = np.vstack((pd.DataFrame(comp).loc[i])).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4254f362",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'GCN': {'Original': array([67.58, 97.78, 65.52, 73.65]),\n",
       "  'kNN Links': array([91.87, 99.51, 69.21, 74.38]),\n",
       "  'SOC Links': array([45.37, 71.43, 37.15, 46.01]),\n",
       "  'SPA Links': array([49.15, 90.39, 45.1 , 57.83]),\n",
       "  'TEM Links': array([41.52, 70.59, 27.25, 35.27])},\n",
       " 'GAT': {'Original': array([98.07, 99.51, 76.32, 80.39]),\n",
       "  'kNN Links': array([97.15, 99.51, 74.79, 80.3 ]),\n",
       "  'SOC Links': array([97.97, 99.01, 76.26, 79.95]),\n",
       "  'SPA Links': array([97.95, 99.51, 74.45, 81.08]),\n",
       "  'TEM Links': array([97.97, 99.51, 75.27, 79.8 ])},\n",
       " 'SAGE': {'Original': array([95.71, 99.95, 77.17, 80.69]),\n",
       "  'kNN Links': array([ 91.46, 100.  ,  74.22,  77.34]),\n",
       "  'SOC Links': array([94.9 , 98.52, 76.06, 79.26]),\n",
       "  'SPA Links': array([95.49, 99.51, 73.17, 78.28]),\n",
       "  'TEM Links': array([95.02, 99.01, 74.98, 79.06])}}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8eeb75a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([67.58, 98.07, 95.71])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comp_n['Original'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a399ea6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_names = ['MLP', 'GCN', 'GAT', 'GSA', 'HGSA', 'HGT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a7fcef35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.00991174, 0.00111954, 0.04151692])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abs((comp_n['kNN Links'][j]-comp_n['Original'][j])/comp_n['Original'][j])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "362783b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2592x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=2, ncols=2, figsize = (36,20), constrained_layout=True,\n",
    "                       sharex=False, sharey=False)\n",
    "for j in range(len(metric_names)):\n",
    "    metric_name = metric_names[j]\n",
    "    x = np.arange(len(comp))\n",
    "    rects1 = axs[int(j/2), j%2].bar(x - width*4/5, comp_n['Original'][j], width*3/8, label='Original',alpha=0.8)\n",
    "    rects2 = axs[int(j/2), j%2].bar(x - width*2/5, comp_n['kNN Links'][j], width*3/8, label='kNN Links',alpha=0.8)\n",
    "    rects3 = axs[int(j/2), j%2].bar(x, comp_n['SOC Links'][j], width*3/8, label='SOC Links',alpha=0.8)\n",
    "    rects4 = axs[int(j/2), j%2].bar(x + width*2/5, comp_n['SPA Links'][j], width*3/8, label='SPA Links',alpha=0.8)\n",
    "    rects5 = axs[int(j/2), j%2].bar(x + width*4/5, comp_n['TEM Links'][j], width*3/8, label='TEM Links',alpha=0.8)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_yticks(np.arange(0,101, 10), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_yticklabels(np.arange(0,101, 10), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_ylabel('Scores',size=40)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_xticks(x, model_names[1:4], size=45)\n",
    "    axs[int(j/2), j%2].set_title(metric_name+'\\n', size=45)\n",
    "    \n",
    "    if j==2:\n",
    "        axs[int(j/2), j%2].legend(fontsize=35,frameon=False, ncol=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "0a26035b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hIiIOBsplCRZSJA5uDozPzKnAeIodoGeU+o4FfhQRb+zD9LtRJJtBEaT5OrBxZc4pFIGEPYC/le6bAvxuuCeGDoDyTtNzywm3mfkCxSl6Pd3XiBMpSnxUWwicBrwNWDozl6y8lsYBa1O8b84Aei3hGxFLUJTa2Lr01HMUpzVuQ/G6WTozJ1Psdn4dRVmVP1GUMhrq9uXVr/0c4DiK98Pila/bEsDr6RqkrfYwcArFyZkbAuMyc2JmLpeZS1CcOLkvRVntamv2Mm6NiNieIrm1/B68FjikMt64zFy2Mu8UihI6x1PsKO9O+fWwQUR098eI7tb2JmpP75zHMPtDjCRJkiSNAhtQxJqqXdPmOa6t0zakN7xm5nMUCTHVDqqUj23UjNL14xSxkWGhUhHkd8BapaduoTgZcmpmTsrMJSkSfo6giIdU2wo4s48Jg2fw6ubb6yjiV5MrMafxFCeyHUORJFntAxQnLg45ETE5Ir5K1xMB/69c0raf1/FGYJ1Sc7141OnUJq6tQRFXamauacAf6ZpoehdFQul6VGJuldfSUsAbKMoYN/SzKCLeDfyQricmXkJxMuIqlTmWrbx2VqCIh3+L4uTI4eAXvLoB/jIqFagyc6nMXIriRMUZwGPd3P8y8Ffg/1GcTLlcZnbEDJemiHduQREHfbJ071cjYptGFll5r/+C4m8J1eYB36H4u8+SlXVPofiebUBRheVsuklSrZTf/kGp+chG1tTLPadlZnebuiVJQ1h3p6dIkiQ142Bqdyw+TPHLc43MfCEizqG2VMoHgJ/07/Lar1JSt3xi2TPAWzOzJoibmS8D/wT+GRG/oUjU7AgkjwF+HhEb1TlxsicdyWbPAG/JzBtKc84HLoyIP1CUrj226unVga/R9aQ00Zlwu2OpuV7CbUf7+6uu3xAR0zLz7gbnOoiu34c7gb0z845y/8pO6PsrH7+JiIkUyY09nZJwEkXCbLXzgBmV4H15joXATZWPUyNiVeC9jXw+g6gjqe52YNfMfKT6ycp78IbKR9mVFF+PP/V0UmBmPkoRdDs7It4JnEURCAR4e0Rsn5mX97TIiFieIjmxOvj6MkWy8Y/rzV/5Hv2t8vH5iNiZOruoM3NuRPwUOLqq+Ui6Jin3pBzw+1VmzmrifkmSJElS/6tXdvOGdk6QmfdGxBxqN9c1Uu5zsP2U4hTADqsAu9BAkmFETKY4qavaGZU4yXDxNYpNl9VOBT5ciY10yszHgR9GxJkUsYpdq57eFfgYRXJSMzrilacAR5W/dpl5H3BCRJxFETtes+rpL0XEBZU+A6byfX9fqXkJipK5r6M4VbP6RLlFwLGZ+aWBWWGn8qboK+rFHzPzvoj4J8Vm+ep7GypHXdnofC5FKeXOYSliy1+q936olIW/vPLxlYiYDqzfwxzrU2zMrjYHODAzz693T2Y+BfwZ+HNEfBJ4B/BUI5/TIOqIV/6/zPxm+clKzK1ezPkliq/3KZX3aV2ZuYAiEfi6iPgO8EvgrZWnx1Jsdt6lgXUeA7y91HYlsF9m/qfcOTNfAe6ofJxRqSzz4XK/ilOBz/Hq30LeWPk7SL2S0F1ExAbUxulfoUhslSQNQ56gKEnS8LdGRGRfPygSnfqsssOuXC7ljMovqvXMLF1vX9mVOdz8N8Xu0A6LgLeXkxPLMvMCilPSqr2GriWyG5EUiWw39DBfZuZxdD0F7dCIKJeXUGEGtQm3j9B9EO9vdN21O6ORSSJiceDLpeZ7ge3qJSfWk5lzM/PEzCzvku2YY2O6BjDPBvapl5zYzRz/qRdEG4KeB3YpJyf2JjNPz8w/NlPGODPPpSjtU+0jDdz6P3Tdfb5fZp7a6PyZeUnl50g9J1G7S37vSnnvXkXESnT9Q8zJjdwrSZIkSRpQ9eI5/ZGo80wD8w41l9D1RMAZDd77HrqWNh02VQUqv9cfVmq+APhQOTmxWmXD9N4UG1WrfToiyid1NuLPwBE9JXZm5v0UiVTVJbmXpIi3DrQVKE55q/74NvBZihPlOl4TC4BzgC0z84sDucCIWArYr9Q8s4dbys/tU0nEbMQh1FbXADg6M7/QaLJuZl6TmT/vocvxwMSq6wXAzt0lJ9YZ/5XMPDcz/9lI/0H2jWbjqpn5bGYe11NyYp17nqN4H99T1fyWSjJotyqbqT9dar4S2KlecmI3c8/KzOO7ee5JupZjbubQhPJm6j9Vfn5IkoYhExQlSVKrdqRr2ZDuTpuD+gldfSmLO2gq5ZHLaz4pM69q5P7MPJMiWFfto30onfKzJgIxn6S2/OtYupYVHvWaTbitJJWVy6m8PyIa+f/sgynKBncOB7yvzSfWfYbaZMtHgUN7SCAezo5vNHDWJj8Fnqi67rFcTmU38eGl5pMz87x2LSgz76EowdNhLPDBBm//ILUnO16TmVe3a22SJEmSpLaZVKft+TptrSqPWW/eIaUS7yjHJd8REUvX618yo3R9VWbe3paFDYwjgMWrrudRJAr2uiEyM+fRNWaxIs1X1FhIcXJiI3PeBZQTtw6qJOMNRX+j2PR7yyDMvR+1CX3z6Zr0Ve031FZbmUAD38uIGEuxubbaHzLzuw2us1eVhLl9Ss3HjNAY1FMUlY0GRKWi0ndKzb2V9z6a2kotL1LEp+fX794n3ytdN/Q+r1QOen+p2c3UkjSMmaAoSZJaVU7U+1clwFRXJUB1Rqm50YSuoeKN1J6eCNBsoOY7peu16aH0RTdOarRjZj5D18DVXk3ONxq8mdryMtBzwm2951ejsfIZ5Z3PF2Xmvxu4ryERMY6i3Em17zV6cuIw8zI97xxvu8ofPaq/X8tHxNo93LIbtT83FtL1BM12KAf9DouIMT3dUHm+fMqCAT9JkiRJGpoWr9M2tx/meaF03ZfT9AbDzNL1EvSSnFWp7rJdqXnYnJ5Y8bbS9W+b2ciZmVcC5c3X5TF7c1Fl82SjfkhRsrXDJGrLuQ4lbwXOBO6LiHI53P5Wjr//LjO7TUqunIp5Ti9j1LMVsHqpre7JeC3Yh9r8hFk0EeMeZs6oJP8OpCtL19v00r8cnz4jMx9o33Kgknxa/bNlMnBgA7ceWOnb4X5qN2ZLkoaZsYO9AEmS1LJZFCUn+mpZoE9lKSonCb6r1NxbMhcUgcJjqq5XBXYF/tSXdQyC7UvXN2TmvU2OcRHFTvTqHdzbA43uzH6sDztLz6P2NLVNI2LCIARKhrJysO6qzLyzpxsy896I+CfwhtI45VMyO1XKO5dfR+XE3VZtRe3u6v6YY6i4qZKE2xaVHePrUiSrTqp81PvdafnS9erAfd0M++bS9aXNlqNu0J+Bu4FpletVKZKRz+3hnj0pEms7zAJ+2Q9rkyRJkiS1bkGdtvLv/+1QHvOlfpij7Spxmr9TbDDuMAM4pYfbZpSu5zGMfi+OiCWBzUrNZ/dhqF8DW1ddl5M2e9NUlYjMfCQirgOmVzVvA/y+yXn7rJJQWVPVplIOeQVgC4rY9968WnViNeD3EfHxzPxOf68vItYBdig1Nxp/r04C2yYi1s/MO3q4pxy7uicz/9XAXM0oz3FOZr5Yt+fw97d2DhYRywEbUvw9ZxLFyZjlikzLlq7LCafV463Kq/HDDv0VO/4etT9bjqBIUO5JuRT0KSO0KpAkjRomKEqSNPzNyczefpnrVkSsSR8TFIH3UFsC4CXgV73d1ENC13BJUNykdH1NswNk5iuVAFx1UGbTJoa4rtk569wzjiKocW0fxhpxKsHHcomRRgJ+UAT9ql/Pe0fElMx8tpv+61P73gG4vMG5GrVF6frBAS6BPJBubnWAyvf/QIqfa9tQ/0SK3kzp4bny96Pd32+gOKU2Ik6i9pTWI+k5QfHI0vVME5clSZIkacgqn2wItRtg22WZBuYdqn5KbYLiNhGxXr1NqJWqLgeVms/t6YS6IWgDuv7Nt+l4ZZ17VouIqZk5q8H7+xqvrE5QfF0fxmirzJwNzAbuAX4VERsBZ1Ebu/12RNyVmX/o5+XMKF0/Bvylgfv+CjxEbYLaB4BP9XDPQMSuBiQ+NkS0I165DUWZ43cAq/RhiGZilQvo28+NRvyGoqT7ipXrTSNi+8ys+/2PiO2o/VnwEvCTflqbJGmAmKAoSZJaUT5t7vweErLKTqc2oesdvSR0DSXlnYjdnZjWm3upTVAsj9uTB5udLDMfi4gF1CZedZkzIg6g2IXZ6Lh9TpAdYuol3Da6W/43FGW+O+4fD+xP92VyyyfvLWx3+Yw6czRTYme4aen0xIh4H/AtXg2S9VVP75uB/H78lCLxvKOk9M4RsW5m3lXuWClj9ZaqpgR+0I9rkyRJkiS15tE6bcv1wzzlmFG9eYeq31Cc2LVUVdvBwP/W6bsz8JpS23Ar71z+Xi3o4ybVehVilqWotNCIpuOVde6pF6tcj64n7/XkmsxsW6JVZt4aEW+mKJ+7btVTJ0XEOpm5qF1zVaskz76/1PzzRuarbGA9g9rKSwdFxP/2cH+/xq4qFUvKCXPGK+uIiBUo4srl6lXNaiZW+XBm9stJuZm5ICJ+BHyuqvlIuk9QLW+m/k1mPt0fa5MkDRwTFCVJUp9ExLp0LfPR6GlzUJQMOZHahK73ASe1vrp+Vw6kzO7jOOWd2FObuLevc86mNmhdbxflCcAaTYw5UhIUywm3FzSaMJuZsyPiXOCA0njdJSiWg639sSu/PMdz/TDHUNHnUxwi4v8BX2/TOhbr4bkB+35UXo8/49VgXgCHA5+o0/0IasvB/KVS3kiSJEmSNDTVSyLbjJ5Pzm9KRKxN18SWevN2KJfdbPXvj+PqtDWcBJaZcyPiN9TGeg6KiGPqlAidUbp+iOL0ueGkv2KV0P/xyvKc9WKV29LcZsrjaPNJcJk5KyI+Avy5qnlNYHf6ryT1W+iaPNtM/H0mtQmKKwO7ARd207+/Y1f1XkvtnmPIyMw+xSsrpZf/Sm0ybF8NiVhlxQ+Bz/Dqfx/2jYijM/Op6k4RsTywb+ne7mLskqRhpKf/KEmSJPWknMwF8PuIyEY+KIJP5RK39caU+l1lJ/a2peZ9G309V17TB5Tunx4RGw/MZ6C+qJQL+Vqp+WXgbODDFKe8rkVRKmuJzIzqD5oLCg+075euZ0TEhOqGyvWMUj8DfpIkSZI0tN1OUYqz2pZtnmN6nbbre+hfTkxbqm6vxtU79avZzZ3lUxBXo7aCABExGXhnqd/pdZIYJShKKz9WatupH+erFyu/pYlY5d0Njqmh5Sd0TU68F/gysDdF6ePlgYnAmFKscq2BXGgzMvNRiphrh8WBQ+p0PYTiMIsO12fmlf25NknSwDBBUZIkNS0ixtC1vEQ7bBERm/TDuO1WPlVvch/HWbp03Wi5lFbmLN83HEpqD4T/6qdxuwv6lUt8lF8L7VCeY5l+mKNdBuv3ki9Re3rgLcD6mblvZp6cmZdn5gOZObubEifN/MFlQL8fmXk7cHFV0xSKsuPV9qf2ZIKH6L9d/5IkSZKkNsjMBcC/Ss3blzeltWiXOm2X9dC/HF9qNc5R7/7nmhkgM/9B1wStGaXr9wDVX7ekOHVuuOmvWCX0f7yyPOeQjVVmZtI1UbdfEsIiYgpFMlq77RkRXcpoV/R37Krea6ndc7TLoMQqI2JH4K2l5v8BpmXm/2bmeZl5U2Y+nZkv1kmmHrKxyorvla4/VCllDnSWNf9QqU8zp6dKkoYwExQlSVJfvBVYpZ/GHg67OMu/vPc1ELV2L+P2pJkSzABExMoUOxN7nDMz1yyfFNfTR7PrGGoqCbcH9dPwB0ZEvbJGT5Wux0bEmm2euzzHOm0ev0O5xNKYPoyxTBvW0ZRKuZAdqppeAfbJzPuaGGaFJvoO1PejWvkUxSN6uf5RZjZcMkuSJEmSNGguKF1PpmtJzD6JiCUpEveq3ZSZD/dwW/l33tUjYokWllGvtGl5jkbMLF3vXTk1scOM0vN/bzIuMFSU43uLR0RfYrflWGW9sXvSdLyyzj31YpUzm4lVZuaxfVhHo8oneZYrBLXL/kAr76HuLE7XKjAd+jV2lZkL6ZqA2l/xsZrEvUr8txnLtG8pTdmndP3zzPx6JTm2Ea3EKl8TEePr9myTzLyc2iTfNSnKpHd4W6Wtw/PAmf25JknSwKn3x1JJkqTelJMIrwV+3MextgAOrbo+MCI+lZkv93G8gXATsEfVdb2yNz2q7AbcvM64jSrf25d7FgK39WGckWY3YOWq6wQ+DtQ7Ma83AXybV8tQrAC8HTiv1O92YC5FKY4ObwAe6MOc3bmmdL1GRKyWmY+0cQ6AOaXremWYulXZtd3UPW2yMbUbtv6VmfVK39RVCWy+von5rin1f0MT9/bVBRSvqTUr19MjYsvMvDoitqL2Z9cC+v5zXJIkSZI0sM4EvkLtJsEjI+LnTSSydOf9dP09fWYv95RjEItR/N5dbm/UpqXrOcCdfRjnZ8DxvPr7/wSK5MtTI2IasF2pf7ks9HBxO0Wcr/rvvtOB85scpxzj/E9mNnOC4uY0/z0vxytvbPL+gVY+fbAvibONKMffLwLO7eNYu1JbyvwDwHfr9Lum1K8/YlfXUHtC6xvon1NL51B7OuckmjuFdc12LqYJrytd/6zJ+7dsom/5vbp45f5/Njlns75PUca6w5HAhVWPq52emS/283okSQPEBEVJktSUSjLRXqXmkzPztD6OtxzFbuWO/y9ZniKh63d9XOJAuKJ0vVlErJWZ9zcxxi503Yl5eRP3r9yRaNTEPe8oXd+UmfOauH+kKgf8/pmZJ/Z1sIjYldoSLB+glKCYmS9HxOUUAcIOBwI/7+u8dVxN1yTIAyn+gNFOz5Wu6+2278mO7VlG08o7ih9s8v6daK5syt+AD1Zdv6mfEkY7ZeYrEXEy8LWq5iMpXpPl0xPPycwn+mstkiRJkqT2yczHIuIXFL/nd9gGOIQWNp9Vqg2cUGp+ltpkknrKsTIo4lBNJyhGRAB7lpqvqlPKtFeZ+UhE/IXakqkzgFPpenriC8Bvm51jKMjMFyPiBmoTDPeh+QTFd5eum4lVQvE9/1GjnSNiNbomKF7V5JwDprJZtbze//TDPBvTNVn0q5n51z6OdyW1iYebRcRmmXlDqevfStevjYhtMrNcUr4Vf6M2QXGfiPhoPyShPUdtguLawHVN3P/mtq6mca3GK8t/t+lWZj4aEXdRe2LtgfR/guJZFLHKjmTf3SKio0JVuby15Z0laQSxxLMkSWrW+6gtE7wAOKevg2Xm08BfSs1Dvczz36k9NS6Ao5oc42Ol6/uAO5oco7yjsFuVxNJykLFcDmjUqXxdykHvX7Q4bPn+t0dEvfIavy5d71o51a4tKqeQlndWfyQilq7XvwW3l663abJsSsOv4zYrn9K6TJP3f7rJ/n+k9ufGWOAzTY7RFz8BqhOR3xMRr6Vrua6TB2AtkiRJkqT2+T9gfqntaxHRp5KplWofPwSmlp76UmbO7uneyua760vNB/WxXOhuwGtKbc0m2lUrn4q4XUSsBxxUav91Zs5tYZ7BdmHpet+IWLluzzoiYmuKJNeexuzNrk2+/g6n9m/VLwCXNjnnQNoDWK7UdnE/zFOOjT9GC1+XzLyRrvG7evH3f9O1usvn+jpvN86mtvzyFODDbZ4Dun6+DZ8GGRE7UJwAOxj6HK+srLt8KmxvyvHpgyKiL6XaG5aZ86lNpF8M+BBdfx78NTOb/XuJJGkIM0FRkiQ1qxy8+GNmPtfimOWErrdFxIotjtlvMnMOXUtPfDQiGiq7HBHvBXYvNZ/YhxI8B0fE9g32/Tq1u0YXUuwWH+0OoDbhdiHwmxbHvIAioNphLLUnGnQ4A6g+PS+AsyKi/IeAVnyFomR1h1WAn1T+6NAuN1AkKndYntpd2d2KiAMoTiIcDOWTC3eIiGUauTEijqLJdVd+TpZ3/R4REeWTTduqUorprKqmCRSv0QlVbTdn5j/6cx2SJEmSpPbKzPuAz5eapwB/jYg1mxmrcmrhjyhO3at2LfCdBocp91sDOKbJdSxZZ5znaa308u8oToGsdhpdkyCHa3nnDj+kNj4zEfheIzdGxBKV+6s9DvyyyTWMBb5feT31Nue6wH+Xmn9eibv2iz4mzHbcuwLw7VLz07Q5oTIi6sURf92XE0RLyvH3AyKiOiZKZi6itgoHFHH6j7Y4d/Ucd9H1pNLjI6KZ0sSN+Hfp+pBG4qERMQE4qc1raUY5XlneWF9XZUP6zD7MdyJQfXrlksAvKj8T+tMPgEVV14cA/1Xq42ZqSRphTFCUJEkNi4jXAa8vNbd62hwUgcLqHd/dJXQNJd+kaxLaHyNi055uioi30TVY8DBFYLRZAfyu8n3pac7P0zWx9KeZ2fYSJMNQ+etyceVUzz6rlM0+r9TcZVdyZi6g6yl8rwWuqOzk71VETIyIj3ZzQiOZeStdSzu9Czi7iWS8VSOiHDCunuMlup7G+e2IWL2XcfdlcJNkr6O2PPVSwA97O/2xkpzY1xLgX6fY9d45HPCbiDi00QEiYqeIaCg4WaX8B4kNSteWS5EkSZKk4ekbFHG1aq8BroqI9zUyQESsDfyZIkGk2tPAvpm5sMG1/BK4s9R2TER8usHEoOUpqqysW3rqG5n5Qp1bGlKJW5Tjl+VTxu7OzP4ua9qvMvNxupZXfldEfK+nWEdELEVRHWez0lNfqcSumvVW4ORe5lyT4jVXnQQ1j+L13J/+HBGfb3ZzcGVT+qXAWqWnjqlUMGmnt9O1zG874u/lMepVlYEiRn1Lqe07EfG5RiumRMQWlU3J3fk8tXH18cAljca7ImKxiNg7Ino6FbG8AX1TilNnexp3GYrTWjdpZB39pFzG+xO9VdyJiFUpXp9rNztZJQ5+Qql5W4rvxyqNjBERUyOiqZM2M/NBauPJy1F7Oul/6BpflyQNcyYoSpKkZpSTrObShjLBlZ2xv+9lriGl8kt0uazzCsDVEfGNiHhdR/A1IsZGxHYRMZOiNEr1bt1FwAF9CLR27AJdDvh3RHw1Ijbs2KEcEUtExNsi4q/AcaV7HwH+X5Pz9UlETIqIw7v7ACaVbpneQ/+92ry2zegafG1HwK/eOBtHxPRyp8w8k67JYesBt0TEjyNit4jo/BpFYc2I2C8iTqf4Xp5Isbu1Ox+lSMartjdwX0R8ISK2qt4xXXm9bhIRH4yIPwD3Ax/p+dPlu6Xr1Sj+GHJYRHQGlyoJlbtHxPkUgcIJwD3Ak72M33aVP7CUEyTfA1weEXtGxMSOxoiYUvma/5Mi2W8xiqTqq5qc82lgP2rLtYwDTo2IqyPivyJi9eqTBiJi6YjYMSKOi4jbgEuALZqc90aguxMS51Cc5ilJkiRJGmYq1TjeR9cysysAZ0bEVRHxsYhYp+P0uEpsYbmIeHslVnULsEvp/meBt2bmA02sZQHF77zzSk99GbghIj5UWUfn3yYr8avtI+IrwL10TRz8W+X+VvV2OuLMNswxFPwPXUvbHgVcExH7R3HKGgARsWJEHAbcStdKLxfRNdbTiI44yeEU8cp9KwmQHXOuFRGfBW4C1izde0xm3tuHOZuxDEWc9PGI+ENEHFV5/VVXnelIgFsnIt4XEecBV9N1s+ef6Z+Nt+WY+H2Z2VT8qZ7MvAe4ppe5OhJ696E4ubRDAF8Abqt8zaaV3scTK7HvT0XE1ZV5yj9Tque4k64J0ZOA8yPiL5XXak11pcrPrF0j4hvAfcC5QLflxDPzFrom+30+In5ViYVWr3/diPgkRYL1WyrNl3c3dj/7GbXJm0sCl0XE8RExraOx8hp9XUR8EbiDV2Pcl/Zhzi/TtZz7dsDdEfHtiHhTFCdLVs+9XkQcGBG/oTh84Qt9mLenE15PbSI5XpI0TETzlQQlSdJgqgQOD65qejAz12xhvDUpEpCqfSAzZ5b6jQMepXYn21mZ2dNuyGbWsQ9wdql5q8y8uh3jNzD/pcCbqpouy8wdG7jveLovV7MImE1RWrnexpCFwOGZ+ZMG5plJ7ff9OIqdruUkyZcpghhTuhnqOWCXzCwHpPpFN6+vvmroe9KoiDiRInmvw3xgxcyc3Yaxx1GUwqnekX1yZn64m74/pGsZi2ovVta3NFBvt/JaPf3RICJWpth12lO5lOcpAo6TKv9W6/XnTET8CPhgN093lOcpJ6TOAt5IEQRbo6q9t89nJqX3Q2Ye29P6uhlnGYqg6WvrPJ0U75fFKcoilZ+bQVHmuXodXX52djPvO4Az64zbYVFl7onUnibQoenPNyL2A35d56kfZOaRzYwlSZIkSRpaKsmHJ9E16afsOYrfNcf10OdOYO/MvKOPa3kbxcbNyd10eYUiBlHv9+1qVwLvyMyn+rKOOuu6Gdi4m/WskZnl0qqDKiJ2pEjQrPbmzLy0l/umUSTPlU/76zCHIrbU3WbXq4G39VZhpJuY37rAv6iNh0Hx/V6C2k3b1c4AZrShjHGPIuIGoLtKNAsp4rhjKaps9HTIz0UUr835PfTpy/pWoDg5bmxV85cy87NtGv8TFFWBOiwCXpOZj9Xpux1FEmDdqi0U75vnKL6v9V5Lp2fmjF7WczhFktrYbrq8TPE9mUTx86Ksxzhc5b1wQzfr6/h+T64z/ykUr+PqxOYeP59674fM7LXUeTdjHUX3yXvzKeLEy9D1NXoD8H6KBOAODf3tKIoN8r+ia7JytRcovm6T68zdp883Im4BNio1L6T4mfxos+NJkoY2T1CUJEmN2pPa5ERo32lzAH+gCApUG9KnKAJk5ueAQ+m6diiCfVOo//9cjwN7NpKc2IOjKRLbqo2j++TEh4FdByo5cSirnBhYTq69sB3JiQCV8i6/LTXv33FaQblvZh4CfIz6ryMoAmlTqZ+cCEVQsKf1PEaRCHgqRfCxnqUpAkz1gkmNBIg/QtfPucMkuiYnPkARWL+1gbH7RWY+B+wG3F3n6aB4L5X/WDIfODgzf9bCvOdR7ES+qZsuYygSkOslJ0Jj34+ycymC3GUn92EsSZIkSdIQkpkvZeahVCom9NB1GbpPTpwPfA3YvK/JiZW1/AHYmq6ntXVYjPq/b3dYCHwf2LFdyYkV3Z2i+JehlpzYisy8m6JEazm5scMkuk9O/AXF173H5MRe5t4VKCe8LU33yYknMwDJiQ0YSxF7q5t8VTGHYrPz7u1OTqw4kK7Jcu2Mv/+K2pjSGOCgeh0z8wqKjc5/72asxSi+Xt29lnr9fmbmDyleL91tbh9HER+rl5zY6xyV1+PbqR9v7fh+l7/e3wQGdSNvZn6f4nCCeqdMLUGx7vJr9DKKUyvndLmjsTnnAHsAXwJe6qbbUtRPjKSbtTbi+3XazjM5UZJGJhMUJUlSo8rJgs9S7MZti0pQ59xS8/4R0V2CzpBRSTJ8LUUAo14CULV7KE5cXCcz/9TivIsy8wiK5NGekg6fBr4ObDhQJ1IOA3tSBLiq/bLNc5QDiFMo/lBQV2Z+l2J3+wkUr5Pe3EdRbmfTzHyot86ZOT8zD6PYlToT6C3I/wpwLfC/dC2xVG/8lyhKJH+AoixTd54DvlpZd3cJegOmUuJmC+ArFGvrznyKMisbZWbLJZErn/tmFF+zy6gt+1zPHIpTMPelCBY2O99C4C+l5n9USt5IkiRJkkaAyoa49YD9gT/SfaJJtduB/6OoZvCpzHyxDeu4IzO3pNgU+HsaS5p5gCLOsU5mfqRSMrqdfk79371ntnmeQZeZT2TmThQJR5fSc8xhHsX3aNvMfF+r3//MvJbipMrvUVuqtqYbRQndN2fmhwcwOfHtwGEUG2x7i+F2WEhxmt5RFKe6fa8f11uOv9/azrhNZv4H+Ecvc1b3fygz3wS8FfgTXcu3l82niD19AOhSRaabOf5G8TPrQxSnd/b2tX2GIua6G8XJm72NfynFqZk/B3r6mfJPYKfM/H9DIFmWSuWUt9D1+1V2G8XhCTv1NbG4as5XKqd1rkPx/m0kcfs2ihLR9arTNOKPddrcTC1JI5QlniVJktosIjamSAJbnmLX7XPAk8B1mdnTLvaexpxJLyVtI2Jtih3qq1Hs/nyCIlHs8kpykoaRSmmQzSleR8vyasnwBygClL0mJfYyflAE6NarzLEMRSDxWYoEyZszc1YL429AsdN6eYrdvbOAW4ErKydMDjmVkzW3pHj/TqU4RXEWRXmrqzKzt0BsK3MvBWwDrEpxWu0SFIH8x4E7gNta+bpVTu/8D7WJuftnZrsTcyVJkiRJQ0Tld8HNKErvrkBx2tnLFLGq+4EbMvOJAVjHmMo61qH4fXuZyjqepdhYe+1IOsVwqKmUb90eWIUiTrOIYuPqQxRxmqZPA2ykpG3l9bcdsAHFxt0XKGIT/xoK3++IWInivbEGRbxkIq/G356jqLhxU2VT7qhX+X5uA7yG4nU0keJ7+hRwF0UssaWTJSNiCsUJoCtRxMfGUiQ4P0qRTH1HXxMII2IiRYWZNSlejy9TvAeuyMyHW1l3f4qIVXn1/TuJosTzQxR/a+hpk3g75t6AIuF4OYqf3QsoSrbfR/H9bum/HxHx/ygOVuhwR2Zu0MqYkqShywRFSZKkYaCRBEVJ6k5EHEjtzvIngNcM1WRRSZIkSZI0dDWSoChJ3alsnr8TmFbV/LFKlSFJ0ghkiWdJkiRJGvk+Vro+xeRESZIkSZIkSYPgbdQmJ84BZg7OUiRJA8EERUmSJEkawSJiT2B6VdMC4ORBWo4kSZIkSZKkUSoiFgOOLTX/NDNnD8JyJEkDxARFSZIkSRqhImJ1uiYj/iQznxiM9UiSJEmSJEka1T5P7Wbql4BvDtJaJEkDZOxgL0CSJEmS1LqIWAXYq3K5FLA+8D5gQlW3F4AvDPDSJEmSJEmSJI0yEbEXsArFwVmrALsBW5S6fS8zHxrotUmSBpYJipIkSZI0MqwL/KCXPkdn5uMDsRhJkiRJkiRJo9ongDf18PxdwP8N0FokSYPIBEVJkiRJGvkSOD4zfzLYC5EkSZIkSZI06t0H7J6ZLw72QiRJ/c8ERUmSJEkamV4CHgX+AfwgM/81yOuRJEmSJEmSNDq9AswGbgXOBX6YmXMHd0mSpIESmTnYa5AkSZIkSZIkSZIkSZIkSSPMYoO9AEmSJEmSJEmSJEmSJEmSNPKYoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbWeCoiRJkiRJkiRJkiRJkiRJajsTFCVJkiRJkiRJkiRJkiRJUtuZoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbWeCoiRJkiRJkiRJkiRJkiRJajsTFCVJkiRJkiRJkiRJkiRJUtuZoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbWeCoiRJkiRJkiRJkiRJkiRJajsTFCVJkiRJkiRJkiRJkiRJUtuZoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbWeCoiRJkiRJkiRJkiRJkiRJajsTFCVJkiRJkiRJkiRJkiRJUtuZoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKTYqIKRHxeERk1cfMBu7LPnz8cAA+JUmSJEmSJEkDzDijJEmSJEmSRgMTFJv3LWDFwV6EJEmSJEmSpGHNOKMkSZIkSZJGvLGDvYDhJCJ2Bma0Yai/A/Ma6HdrG+aSJEmSJEmSNIQYZ5QkSZIkSdJoYYJigyJiAnBK5fIp4DFg0z4Od3BmPtCOdUmSJEmSJEkaPowzSpIkSZIkaTSxxHPjvgC8tvL4E8Czg7gWSZIkSZIkScOTcUZJkiRJkiSNGiYoNiAiNgc+Xrm8ODN/PpjrkSRJkiRJkjT8GGeUJEmSJEnSaGOCYi8iYizwY2AMMB84YnBXJEmSJEmSJGm4Mc4oSZIkSZKk0cgExd79N/D6yuMTMvOewVyMJEmSJEmSpGHJOKMkSZIkSZJGHRMUexAR6wD/V7m8HfjaIC5HkiRJkiRJ0jBknFGSJEmSJEmj1djBXsAQdwowAUjgQ5m5oE3jfi0iNgReA4wHZgEPAP8AfpGZN7RpHkmSJEmSJEmDzzijJEmSJEmSRiVPUOxGRBwC7FS5PC0z/9HG4fcDNgImUwQOVwa2Bf4HuD4iLoiIldo4nyRJkiRJkqRBYJxRkiRJkiRJo5knKNYRESsCX69cPkUR0GunWcA9wBxgErAusEzV83sAN0TETpl5W5vnliRJkiRJkjQAjDNKkiRJkiRptDNBsb7vA1Mqjz+RmbPaMOZtwI+BCzLznuonImIx4E3A8cD2leYVgd9HxOaZ+VxPA0fEYcBhABMnTtxi/fXXb8NyJUmSJEmSNNJde+21T2fm8oO9jhHMOKMkSZIkSZJGvJ7ijJGZA72eIS0i9gLOq1xenJm7dNPvUopgH8DpmTmjDXOPAX4E/FdV81cz89ONjjF9+vS85pprWl2KJEmSJEmSRoGIuDYzpw/2OkYi44ySJEmSJEkaLXqKMy420IsZyiJiMnBy5XI+cMRAzp+Zi4APAbdUNR8ZEeMGch2SJEmSJEmS+s44oyRJkiRJklQwQbHWV4FVK49PKJdIGQiZuRD4ZlXTJGDbgV6HJEmSJEmSpD4zzihJkiRJkiRhgmKniNiQYlcxwO3A1wZxOX8rXa87KKuQJEmSJEmS1BTjjJIkSZIkSdKrxg72AoaQFYCoPN4AeCkieuhe4+CIOLjq+p2Z+bsW1vJY6Xq5FsYatubPn8/tt9/OAw88wKOPPsqcOXNYtGgRSy+9NCuvvDKbbbYZr33tawd7mW13yy23cP311/PUU0+xaNEiVl55ZaZNm8ZWW21FE69JSZIkSZIkDQ7jjJIkSZIkSVKFCYpD05Kl63mDsopB8MADD/DlL3+Zyy+/nDvuuINFixb12H+dddbhkEMO4WMf+xgTJkzodfwdd9yRyy67rOl1TZw4kRdeeKHp+xo1b948Tj75ZL71rW/x6KOP1u2z2mqrcdhhh/GpT32KxRdfvN/WIkmSJEmSpBFj1MYZJUmSJEmSNDSYoPiql4Fnmui/NK9+/V4CqrPXXmpxLRuWrp9ocbxh44477uBHP/pRw/3vuecePvOZz3DKKadw9tlns/nmm/fj6vrHvffey957780tt9zSY79HHnmEz3/+8/zmN7/hvPPOY6211hqgFUqSJEmSJKkJxhklSZIkSZKkChMUKzLzcpoocRIRlwJvqlz+MjNntHE5+5euL2/j2MPGlClT2HrrrVl//fVZc801mTx5MgsXLuSJJ57g3//+N3/+859ZsGABUJy8+OY3v5krrriCjTbaqKHxJ02axAorrNBQ34kTJ/b58+jJo48+yg477MBjj71abWe55ZZj3333ZZNNNmHcuHHcc889nHPOOdxzzz0A3Hzzzbz1rW/liiuuYLnlrMojSZIkSZI0lBhnlCRJkiRJkl5lguIQExFbAodVNV2bmQ8P1noG2korrcTxxx/PnnvuyaabbkpEdNv3kUceYcaMGVxyySUAzJ49m0MPPZQrr7yyobn22WcfZs6c2Y5l99kBBxxQk5y4zz77cNppp7H00kvX9DvhhBP4whe+wPHHHw/A3XffzaGHHsrvfve7gVyuJEmSJEmShonRHmeUJEmSJEnS0LDYYC9gpIuIpSPi7IiY3kDftwJ/ABavaj6m3xY3BG222WYcc8wxvO51r+sxORFgtdVW48ILL2T99dfvbPvXv/7FTTfd1N/LbIuLLrqISy+9tPN622235de//nWX5ESAsWPH8oUvfIGPfvSjnW3nnXcel1122UAsVZIkSZIkSYPMOKMkSZIkSZKGIxMU+18A+wBXR8QdEXFiRPxXROwWEdtX/v14pZTLn6gt//LNzPzTYCx6uBg/fjyHH354TdtVV101SKtpzumnn15z/Y1vfIMxY8b0eM/xxx/PpEmTOq+/9rWv9cvaJEmSJEmSNOQYZ5QkSZIkSdKwY4nngbVe5aM3i4AvAsf173JGhvXWq/2SPvXUU4O0kub89a9/7Xy86qqrst122/V6z+TJk9l999359a9/DcDFF1/Mc889xzLLLNNfy5QkSZIkSdLQY5xRkiRJkiRJw4InKPa/ecBPgfsb6DsfOBPYMjOPzczs15WNEHPmzKm5XnbZZQdpJY2bP38+jz/+eOf16173uobvre67YMEC/vjHP7Z1bZIkSZIkSRqSjDNKkiRJkiRp2PEExT7KzB0b7PcS8F8AEbEcsAmwBkWJlQnAi8CzwO3AdZX+asKFF15Yc/3GN75xkFbSuFmzZtVcT5kypeF7y31vuOEG9t9//7asS5IkSZIkSQPLOKMkSZIkSZJGMhMUB1BmPg38bbDXMZKcc845nHHGGZ3Xe+65JxtssEFD91577bXstddeXH/99Tz99NMstthiTJ06lXXWWYcddtiBd73rXU2dbNiMCRMm1FzPmzev4XvLfW+99da2rEmSJEmSJEnDg3FGSZIkSZIkDRcmKGpYefnll3n66ae57rrrOOOMM/j1r39NR4Wa9dZbj1NPPbXhsW655RZuueWWmrYXX3yRRx55hEsvvZTjjz+eXXfdlR/84Aesvfbabf08lllmGcaNG8fLL78MwH333dfwvffee2/N9T333NPWtUmSJEmSJEmSJEmSJElSOyw22AuQevLb3/6WiOj8WHzxxVlllVXYY489+NWvfkVmMnbsWA455BCuvPJKVlxxxabGHzduHCuuuCKrr746kyZN6vL8RRddxOabb86f//zndn1KAEQEm2++eef1zTffzOOPP97rfZnJxRdfXNM2e/bstq5NkiRJkiRJkiRJkiRJktrBBEUNayuuuCKnnXYap556KlOmTOm1f0Swww478O1vf5ubb76ZuXPn8vjjj/Pggw8ye/Zs7r33Xr71rW+x6qqrdt7z/PPP8653vYvrrruurWvfbbfdOh8vWrSIb37zm73ec84553DXXXfVtL3wwgttXZckSZIkSZIkSZIkSZIktUN0lMfVyDB9+vS85pprBnsZbfOnP/2Jo446qvP6xRdf5JlnnmHBggU1/dZbbz1+8IMf8OY3v7nH8Z588klWWGGFXud97rnneN/73scf//jHzrbXv/71XHvttUREk59FfU888QRrrrkm8+fPB2CxxRbj17/+Ne9617vq9r/55pvZaaedePrpp2vax4wZw8KFC9uyJkmSJEmSNLpExLWZOX2w16GhZ6TFGSVJkiRJktR/eoozeoKihrTddtuNe+65p/Pj0UcfZe7cuVxzzTUcddRRjBs3DoA777yTt7zlLZx55pk9jtdIciLAMsssw9lnn80mm2zS2Xb99ddz/vnn9/2TKVlxxRX50pe+1Hn9yiuv8O53v7uzXPWcOXOYN28et956K5///OfZdtttefrppxk3bhxLLLFE5331SlNLkiRJkiRJkiRJkiRJ0mAzQVHDztixY9liiy343ve+xxVXXMHUqVOBIsHv0EMP5Y477mjLPBMmTODLX/5yTdt5553XlrE7fPzjH+fII4/svH7llVc47bTT2G677Zg8eTJLLrkkG2+8Mccffzxz584F4NRTT2XixImd9zRS2lqSJEmSJEmSJEmSJEmSBpoJihrWpk+fzmmnndZ5PX/+/JpTCVu166671pxQeMUVV7Rt7A4nnXQSp556KiuuuGKP/VZaaSXOP/98Dj74YObMmdPZvtxyy7V9TZIkSZIkSZIkSZIkSZLUqrGDvQCpVe94xztYY401ePDBBwG48MILyUwiouWxx40bx9prr82NN94IwBNPPNHymPUceuihHHDAAfzud7/j4osv5q677mLWrFkstdRSrLnmmuyxxx7ss88+TJw4kSeffJIFCxZ03rv55pv3y5okSZIkSZIkSZIkSZIkqRUmKGpE2GyzzToTFGfNmsWsWbNYdtll2zL2hAkTOh/PmzevLWN2N8/+++/P/vvv32O/jmTJDltvvXW/rUmSJEmSJEmSJEmSJEmS+soSzxoRxo8fX3O9aNGito1dfWriUCinfMkll3Q+Xmyxxdhpp50GcTWSJEmSJEmSJEmSJEmSVJ8JihoR7r///s7HY8eObVsi4SOPPFIz9lprrdWWcftq0aJFnHXWWZ3Xb33rW1ljjTUGcUWSJEmSJEmSJEmSJEmSVJ8Jihr27r//fq699trO680335zFFmvPS/vEE0+sud51113bMm5fffe73+Xhhx/uvP7IRz4yiKuRJEmSJEmSJEmSJEmSpO6ZoKghY8GCBSxYsKDpew477DBeeeWVzrb99tuvbt958+Y1NfZFF13Ed77znc7rxRdfnAMOOKDHe4499lgiovNj5syZTc3Zk3/84x987nOf67x+5zvfye6779628SVJkiRJkiRJkiRJkiSpnUxQ1JDx6KOPss466/Cd73yHxx9/vNf+N998MzvvvDMXX3xxZ9taa63Fhz/84br9N954Y4499tiaks31vPTSS3zzm99kzz33ZOHChZ3tRx11FGuvvXaDn01jrrjiCn7yk58wZ86cbvssXLiQ733ve+y+++7MnTsXgBVWWIGTTz65rWuRJEmSJEmSJEmSJEmSpHYaO9gLkKo9/PDDfPzjH+e///u/2WKLLXj961/POuuswzLLLMO4ceOYPXs29957L5dffnlNWWeAqVOn8tvf/pYJEybUHfuZZ57huOOO47jjjmPTTTdliy22YL311mOZZZZh/PjxzJo1i5tuuok//vGPPPnkkzX3vvWtb+UrX/lK2z/fhx56iEMPPZQjjzySN7zhDUyfPp011liDCRMm8Mwzz3DHHXdw4YUX1iRsrrjiilxyySWstNJKbV+PJEmSJEmSJEmSJEmSJLWLCYoakl555RWuvvpqrr766ob6b7nllvz0pz9lo402aqj/TTfdxE033dRrv4jgwx/+MF/72tcYN25cQ2P3xYIFC/jrX//KX//61x77bb311px++umst956/bYWSZIkSZIkSZIkSZIkSWoHSzxryFhppZU48cQTedvb3sYyyyzTa/8xY8awyy67cNZZZ/Gvf/2r1+TEj33sY2yzzTaMHz++17EnTpzIQQcdxFVXXcX3vve9bk9lbNWGG27IHnvsweTJk7vtExFsueWW/PjHP+bKK680OVGSJEmSJEmSJEmSJEnSsBCZOdhrUBtNnz49r7nmmsFeRssyk3vuuYe77rqLhx56iNmzZ7Nw4UKWWmoplllmGdZbbz023XRTllxyyabHXrhwIbfffjv33nsv//nPf5gzZw4LFy5k8uTJTJ06lY022ohNN92UMWPG9MNnVt+iRYu4/vrrueOOO3j88ceZP38+yy67LCuttBJbbrklq6222oCtRZIkSZIkjR4RcW1mTh/sdWjoGSlxRkmSJEmSJPW/nuKMlnjWkBQRTJs2jWnTprV97LFjx7LJJpuwySabtH3svhozZgzTp09n+nT/HiBJkiRJkiRJkiRJkiRpZLDEsyRJkiRJkiRJkiRJkiRJajsTFCVJkiRJkiRJkiRJkiRJUtuZoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbTd2sBcg9ebYY48d7CUMCX4dJEmSJEmSJEmSJEmSJA0nnqAoSZIkSZIkSZIkSZIkSZLazgRFSZIkSZIkSZIkSZIkSZLUdiYoSpIkSZIkSZIkSZIkSZKktjNBUZIkSZIkSZIkSZIkSZIktZ0JipIkSZIkSZIkSZIkSZIkqe1MUJQkSZIkSZIkSZIkSZIkSW1ngqIkSZIkSZIkSZIkSZIkSWo7ExQlSZIkSZIkSZIkSZIkSVLbmaAoSZIkSZIkSZIkSZIkSZLazgRFSZIkSZIkSZIkSZIkSZLUdiYoSpIkSZIkSZIkSZIkSZKktjNBUZIkSZIkSZIkSZIkSZIktd3Ydg8YEasD04A1gOWBJYFxwIvAHOBh4EHg1syc3+75JUmSJEmSJA1/xhklSZIkSZKk4a/lBMWIWBfYHdgF2ApYtsFbF0XE7cDfgT8Dl2TmvFbXI0mSJEmSJGn4Mc4oSZIkSZIkjTx9SlCMiOWBg4EDgU2qnyp1zXq3V829CbAxcCTwYkScB/wsMy/qy7okSZIkSZIkDR/GGSVJkiRJkqSRrakExYjYBPgE8F5g8Y5m6gcIO57rScd9AUwE9gf2j4i7gO8Cp2XmS82ssVURsTiwJbAN8DpgPWB1YBmKr9fzFOVjrgZ+A1ycmd19/t3NsSEwA9gVWI2iPM1/gBuAM4HzM/OVlj8ZSZIkSZIkaQgyzmicUZIkSZIkSaNDQwmKEbEBcBywD0WQryNY2BEYDGAOcEvl40GKQNhzwDxgITCBIkC2MrAKRUBuE2Ct6qkq/64LfB84JiJOAE7NzJf78gn2wUnAoT08v2zlYzPgg8C1EXFIZt7Y28ARMQb4PPBZYEzp6XUqH/sCf4+IgzLzoeaXL0mSJEmSJA1NxhlrGGeUJEmSJEnSiNdjgmJETAG+SBEgG0PtTuWFwKXAhcBlwE3N7vCtmuONwE7AOyh2EXfMszLwPeDoiPh4Zl7Y7Ph9UN6NPQe4D3i2ak3TgMUq11sA/4iI3TLzil7GPgn4UNX1y8CtwFxgfYqAJBRfj8siYuvMfLJPn4UkSZIkSZI0RBhnBIwzSpIkSZIkaRRarJfn7wEOp0hk7AioXUURSFwxM9+amd/NzBv7EjQEyMxnM/O8zPxYZq5JUfbkBxS7oqnMuw5wfkQc1Zc5mjQXOBc4BJiWmZMzc7PMfHPlY32K4OGXgEWVeyYBZ0XExO4GjYj/ojZoeB6wVma+PjPfQLHb+6MUAVmANYFft/HzkiRJkiRJkgaLcUbjjJIkSZIkSRqFektQnEIRuFsI/Bx4XWZum5k/yczn+mNBmXltZn6YIjh3OHBX1dNT+2PO0vwfy8x9MvO0zLynmz5PZuZnK+vrsAawX73+ETEBOL6q6VLgXZn5n6oxF2Tm90pjviki9urjpyJJkiRJkiQNFcYZ6/cxzihJkiRJkqQRrbcExUXAT4DXZub7M/PmAVgTAJn5Umb+CNgA2B+4d6DmblRm/pjadb25m64HU+xcBkjgiMxcVK9jZv6EYvd4h0+3uk5JkiRJkiRpkBln7IFxRkmSJEmSJI1UvSUobpyZH8zMhwdkNXVk4VcUAcSfD9Y6enBd1eOVuumzT9XjyzLzjl7GPKXq8TYRsUq3PSVJkiRJkqShzzhj74wzSpIkSZIkacTpMUExM+8cqIX0JjMXZeZ9g72OOsZWPZ5dfjIiJgI7VjX9qYEx/1g9BPD2Pq1MkiRJkiRJGgKMMzbEOKMkSZIkSZJGnN5OUFQPImIcsG1V0xV1um0IjKu6vrK3cTPzceCBqqbX9WV9kiRJkiRJkoY+44ySJEmSJEkaqUxQbM0JvFpu5Wng9Dp9Nihd39vg2NX9ymNIkiRJkiRJGjmMM0qSJEmSJGlEGtt7F3WIiLHA8sDWwJHALpWn5gH7Z+asOretWfV4IfBYg9M91M0YkiRJkiRJkoYx44ySJEmSJEkaLQY8QTEiAlgaWAJ4PjPnDfQamhER84Hx3TydwEXAf2fmrd30mVz1eE5mvtLg1LOrHk/qZY2HAYcBrL766g0OL0mSJEmSJA1fxhmNM0qSJEmSJGnoG5ASzxGxWkR8ISKuptgF/AzwH+CFiHgsIs6JiL0rQcXh5FLg+8BtPfSZWPV4fhNjVwdUl+qpY2b+KDOnZ+b05ZdfvokpJEmSJEmSpOHDOGMn44ySJEmSJEkaFvr9BMWI+G/gCxQ7mQHKwcEVgXdUPq6OiAMz857+XlcTLgIWrzweD6wErEuR3Pnmyse/IuK9mflgnfvHVT1e2MS81X0X77aXJEmSJEmSNAoYZzTOKEmSJEmSpOGnXxMUI+LLwP90XPbUtfLvVsBlEfGGzLy/P9fWqMzcq9wWEcsCHwQ+BywJbAP8PSK2zMwnS91frHq8BI2r7vtCE/dJkiRJkiRJI4pxRsA4oyRJkiRJkoahfivxHBHbUxs0vBDYB3gNxQ7hJYA1gfcAf630S2Bl4If9ta52yMxnMvMrwBt5Nai3OvDNOt2rg34TmphmyW7GkCRJkiRJkkYN44ydjDNKkiRJkiRp2Om3BEXgw7y6Y/kjmblnZv4uM/+TmS9n5oLMfCgzf5OZbwH+r6r/WyJiWj+urS0y81rgS1VN742IqaVuT1c9Xioilmpw+JWqHj/Tl/VJkiRJkiRJI4BxxoJxRkmSJEmSJA07/ZmguAPFTuUrMvOk3jpn5vHAHVVNb+yvhbXZr6sejwWml56/s3S9eoPjvqbq8R3d9pIkSZIkSZJGNuOMBeOMkiRJkiRJGnZ6TFCMiKMi4kN9HHv5yr/XN3HPDVWPl+vjvAPt4dJ1ed23la43623AiBgHbFzVdHvzy5IkSZIkSZKGBuOMDTHOKEmSJEmSpBGntxMUlwVOjohrImLbJsd+vvLva3rsVau67+wm5xssS5eun6u+yMz7qQ0uvqGBMbcAJlRd/71PK5MkSZIkSZKGBuOMvTPOKEmSJEmSpBGnkRLPAbwe+GdE/CwiVmpw7Osr9+4eEVv0OknEW4DtqppubHCewbZD6freOn3Or3q8X0Qs3suYB1Q9noWBQ0mSJEmSJA1/xhl7ZpxRkiRJkiRJI05vCYpnAH+iCAAGRUDrzoj4ZESMbeBegHHAJRHx0YhYptwpIpaPiP8Fzqs0JXBvZl7R4OcwaCoBwGOqmu7NzDvrdJ1Z9Xg5oNtyNhGxGnBwVdPPM3NhK+uUJEmSJEmSBplxxh4YZ5QkSZIkSdJI1WOCYmbel5lvA95BsWM3gEnAV4CbI2K3Hu49E7ik6p5vA09FxJ0R8Y+I+GdE3AM8BhxPUWokgEXAkS1/Zn0QEftExPERsUIDfVcBLqDY9d3hy/X6ZuY1wLlVTV+KiO3rjDkZ+AXF1wvgReBLDS5fkiRJkiRJGpKMM/bY1zijJEmSJEmSRqzedicDkJkXRMSfgU8CnwYmAusCF0bE74GPZ+Z9dW7dG/gN0BFgHAOsU/noEBS7mQFeAA7NzIub/DzaZTLFTuXPRMQ/gMuBW4CngXkUAb21KcqtvIMi2Nnhd8BpPYx9NEVpmRWBpSh2e/8YuAiYC7wOOApYq+qej2fmE61+UpIkSZIkSdJQYJzROKMkSZIkSZJGl4YSFAEycwFwQkTMBL4JvLvy1B7ArhHxTeCEzJxXdc9c4G0R8V7gI8A2FIHCsucpdvR+NTMf6ssn0mZjgB0rH71J4MfAhzMzu+2U+VBE7AVcSFF+ZTzw4cpHvTG/mJk/am7ZkiRJkiRJ0tBmnLFbxhklSZIkSZI04vRY4rmezPxPZr6XIqh2M0UgcDzwGeDOiHhPnXt+mZnbA1Mr9+0HHAjsBWwMLJuZHx4CQcN/AN8F7myg70sUu7bfmJmHZebLvd2Qmf8GNgF+BSzopttNwO6Z+fnGlixJkiRJkiQNP8YZOxlnlCRJkiRJ0ojV8AmKZZn594h4PXAE8AVgCrAqcFZEHA58NDNvLt3zPPD3FtbbrzLzXuBjABExFdiUotTKcsDiFKVhngVuB27KzPl9mONx4L2V8XcEVqMo4fIocH1m3tL6ZyJJkiRJkiQND8YZjTNKkiRJkiRp5OpzgiJAZr4CnBQRvwS+BBxCcSrjG4HrIuKHwOcy87lWFzrQMnMWcGnlo7/GP6c/xpYkSZIkSZKGE+OMLY9vnFGSJEmSJElDUtMlnuvJzGcy80PAlsCVFOVYxgBHAndHxGHtmEeSJEmSJEnSyGWcUZIkSZIkSRpZ2pKg2CEzr8/M7YH3A49RBBCXBX4QEddExLbtnE+SJEmSJEnSyGOcUZIkSZIkSRoZ2pqg2CEzfw6sC3wdWEARQHw98M+I+FlErNQf80qSJEmSJEkaOYwzSpIkSZIkScNbvyQoAmTm3Mz8FLAp8CeK4GEABwB3RsQnI2Jsf80vSZIkSZIkafgzzihJkiRJkiQNX00lKEbEphHxzYi4MiIej4j5EfF8RNwbEWdHxAcjYmL1PZl5V2a+DXgHcC9F8HAS8BXg5ojYrV2fjCRJkiRJkqShzzijJEmSJEmSNDo0lKAYEVMi4pfA9cDRwFbACsDiFEHANYG9gR8CD0TE/uUxMvMCYCPgGGAuRQBxXeDCiDgvItZu8XORJEmSJEmSNIQZZ5QkSZIkSZJGl14TFCNiKnApsB+vlk+JcreqtmWBn0fER8tjZeaCzPwSsD7w66r79gBujYgvRsSEvn0qkiRJkiRJkoYq44ySJEmSJEnS6NPICYonAptUXd8P/D9gV2BDit3KewI/AF4CkiIY+I2I2KjegJn5n8x8L7AjcHOl/3jgM8CdEfGevnwykiRJkiRJkoYs44ySJEmSJEnSKNNjgmJErAK8jyIYCPB9YFpmfiszL87MOzLz9sy8MDM/DGwOPFHpPwb4WE/jZ+bfgdcDHwGepQggrgacFRGfaOHzkiRJkiRJkjREGGeUJEmSJEmSRqfeTlDcmVdLqjwIHJ2Zr3TXOTPvAD5bdc/OvS0gM1/JzJOAacCPgI7xl+rtXkmSJEmSJEnDgnFGSZIkSZIkaRTqLUFxlarHV/UUNKxyeeXfAFZudCGZOSszDwe2BK5s9D5JkiRJkiRJQ55xRkmSJEmSJGkUGtvL83OrHk9tcMzqfvOaWw5k5vXAGyplXyRJkiRJkiQNf8YZJUmSJEmSpFGotxMUb6/8G8CbImL9BsY8vPJvVt3ftMx8tK/3SpIkSZIkSRpSjDNKkiRJkiRJo1BvCYqXAY9TBAEXB/4aEXvW6xgRy0XEKcBBVc2/assqJUmSJEmSJA1nxhklSZIkSZKkUajHEs+ZuTAiPgGcRRE8XAn4XUQ8AVwHPEMRUFwbeD0wpur224Af9MeiJUmSJEmSJA0fxhklSZIkSZKk0anHBEWAzPxlRKwEfJ1XA4MrAbuXukbV49uAt2bmwrasUpIkSZIkSdKwZpxRkiRJkiRJGn16K/EMQGZ+B9gG+APFDmcoAoXVHwCPAp8DNs/MR9u6UkmSJEmSJEnDmnFGSZIkSZIkaXTp9QTFDpl5LbBHRCwLbEVRbmVp4CXgKeBG4ObMfKU/FipJkiRJkiRp+DPOKEmSJEmSJI0eDScodsjMZ4A/9sNaJEmSJEmSJI0SxhklSZIkSZKkka+hEs+SJEmSJEmSJEmSJEmSJEnNMEFRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbddjgmJEXB0ROw3UYnpYx9IR8ZWI+ORgr0WSJEmSJElSc4wzSpIkSZIkSaNTbycobgH8JSL+GhG7DsSCqkXEchFxPHAf8ElgwkCvQZIkSZIkSVLLjDNKkiRJkiRJo9DYBvu9CXhTRNwKnAKcmZnP9deiImI74FDgPcASQADZX/NJkiRJkiRJGhDGGSVJkiRJkqRRpLcTFPcH/kMRuAtgI+C7wKMRcW5EvD8iVmh1ERGxWERsExFfjog7gX8AB1PsZO4IGp5JEbSUJEmSJEmSNLwYZ5QkSZIkSZJGoR5PUMzMX0XEBcCngKOBSZWnlgD2qnxQCfZdDtwE3Ao8CDyamfPKY0bEisCqwLrAxsB0YFtgqY4upVv+AXw6M69s8nOTJEmSJEmSNAQYZ5QkSZIkSZJGp15LPGfmi8D/RcSJwCeBDwHL8OqO4wDWB9Yr3xsRLwPzgYUUwcaOMipdunZMV9V2GXBCZl7c4OciSZIkSZIkaYgyzihJkiRJkiSNPr2VeO6UmbMy8zPAasBHgBvpPgjY8bE4MBmYCixZma/6+bIXgNOAzTPzzQYNJUmSJEmSpJHFOKMkSZIkSZI0evR6gmJZZafzScBJEbEh8G5gN4oSKuWExyxdl4OFATwJXARcAFyQmfObXZMkSZIkSZKk4cU4oyRJkiRJkjTyNZ2gWC0zbwOOBY6NiKUpgoebA9OANYDlgImVeV4E5gAPAw8ANwPXZOadraxBkiRJkiRJ0vBmnFGSJEmSJEkamVpKUKyWmc8Dl1Q+JEmSJEmSJKlpxhklSZIkSZKkkaNcKkWSJEmSJEmSJEmSJEmSJKllJihKkiRJkiRJkiRJkiRJkqS2M0FRkiRJkiRJkiRJkiRJkiS1nQmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbWeCoiRJkiRJkiRJkiRJkiRJajsTFCVJkiRJkiRJkiRJkiRJUtuZoChJkiRJkiRJkiRJkiRJktrOBEVJkiRJkiRJkiRJkiRJktR2JihKkiRJkiRJkiRJkiRJkqS2M0GxGxGxfETsHhGfj4jzI+KxiMiqjxlNjvdA6f5GPv7UT5+eJEmSJEmSpAFgnFGSJEmSJEmj2djBXsBQExErAf8C1hjstUiSJEmSJEkanowzSpIkSZIkSSYo1rME/R80vBqY1UC/a/p5HZIkSZIkSZL6h3FGSZIkSZIkjXomKPbsKeBaigDe1cB5bRr3fzLz0jaNJUmSJEmSJGloM84oSZIkSZKkUckExa5mAfsBV2fmg9VPRMTgrEiSJEmSJEnScGOcUZIkSZIkSaOeCYolmTkb+O1gr0OSJEmSJEnS8GWcUZIkSZIkSYLFBnsBkiRJkiRJkiRJkiRJkiRp5OmXExQjYjVgN2B7YE1gKrAUQGa+tk7/xarW8kpmLuyPdUmSJEmSJEkaPowzSpIkSZIkScNbWxMUI2Id4ATgncCY6qcq/2Y3t74H+Hnl8fMRsUpmzm/n2iRJkiRJkiQND8YZJUmSJEmSpJGhbSWeI+IA4DpgX15NfIzKR3cBww6/Bv5T6bs08K52rWuI+u+IuC4ino2IBRHxRERcExHfiYgdBntxkiRJkiRJ0mAxztgU44ySJEmSJEka0tqSoBgR7wV+RqW8Skcz8CBwA6/ubK4rMxcBZ1U1vbMd6xrC9gBeDywDjANWALYAPgb8PSIuj4h1B295kiRJkiRJ0sAzztg044ySJEmSJEka0lpOUIyINYCfVi4TeAX4BrBGZq4F7NPgUOd2DAm8OSJ6DDYOc7OBa4FLgH8BT5ae3w64JiLe1MhgEXFYZWf0NU899VR7VypJkiRJkiQNAOOMfWKcUZIkSZIkSUNaO05QPAEYTxHwWwDslpn/k5kPV57vrexKh2uAlyqPlwGmtWFtQ8kDwOeATTNz6cycnplvycxtM3NFYEvggqr+k4BzI2Kt3gbOzB9Vxpu+/PLL98viJUmSJEmSpH5mnLExD2CcUZIkSZIkScNESwmKEbEExc7lrHz8b2Ze0pexKuVXbqtq2qCVtQ01mbljZn4xM2/u5vlrMnMv4Liq5inAlwdkgZIkSZIkSdIgMc7YOOOMkiRJkiRJGk5aPUFxB2AJil3NLwDfb3G8R6ser9LiWMNSZh4L/Kmq6d0RsfIgLUeSJEmSJEkaCMYZ28w4oyRJkiRJkoaCVhMU16j8m8BVmflyi+M9X/V4cotjDWdfrXocwC6DtRBJkiRJkiRpABhn7B/GGSVJkiRJkjSoWk1QXK7q8RMtjgUwrurxK20Yb7i6HKgOwq47WAuRJEmSJEmSBoBxxv5hnFGSJEmSJEmDqtUExReqHi/V4lgAK1Q9fqYN4w1LlR3iT1c1LdddX0mSJEmSJGkEMM7YD4wzSpIkSZIkabC1mqD4ZNXjlnbfRsRiwOZVTY+1Mt4IsGTV43mDtgpJkiRJkiSp/xln7D/GGSVJkiRJkjRoWk1QvKHybwDrR8QaLYy1CzCp8vgV4IoWxhrWImJVYOmqpnaUtZEkSZIkSZKGqhsq/xpnbCPjjJIkSZIkSRpsLSUoZuZdwP1VTZ/tyziVXc2f7xgWuDYzn29lbcPce0vXlw/KKiRJkiRJkqQBYJyx3xhnlCRJkiRJ0qBq9QRFgB9X/g3gkIiY0YcxvglsW3X93VYXNVxFxFrA/1Y1PQ5cOUjLkSRJkiRJkgaKccY2Ms4oSZIkSZKkoaAdCYrfBh6j2JEcwE8i4nsRsXxvN0bEBhFxPvDRyv0J3A78og3rGjIi4uyIeHNERC/9pgOXAFOrmo/LzIX9ukBJkiRJkiRp8Bln7IVxRkmSJEmSJA03Y1sdIDPnR8R+wMXAeIrg4ZHAYRHxT+DB6v4R8WVgOWBrYKOO5sq/c4D9MjNbXVcrIuJU4KBeup0aET+s075eZj5YatsZ2Ad4OCL+AFwPPETx+S4JrAPsDrydV78WAL8BTmn+M5AkSZIkSZKGF+OMXRhnlCRJkiRJ0rDXcoIiQGZeERHvAc4EJlaaxwE7lroG8D9Vj6HYzQwwmyJoeHs71tSicRRB0J6Mpf7Xr6fdy68BPtTgGk4BPjbYQVRJkiRJkiRpoBhnrGGcUZIkSZIkScNeO0o8A5CZFwBbAP+ma/Asqz6q26j0vQ7YOjP/0q71DDGnAXdQ+/nXsxA4H9gxMw/PzJf6fWWSJEmSJEnSEGKcsUfGGSVJkiRJkjSstOUExQ6ZeTewbUS8GTicYmfz8t10nwtcBpxSCToOGZk5A5jRxvE+AXwiIpYGNgXWBFYAJgAvAc8BdwNXZ+bcds0rSZIkSZIkDUfGGbsdzzijJEmSJEmShpW2Jih2yMy/AX8DiIhpwGrAVIqSJrOAJ4FbMnNhf8w/VGXm88A/Kh+SJEmSJEmSemCcsT7jjJIkSZIkSRou+iVBsVplt/Pd/T2PJEmSJEmSpJHLOKMkSZIkSZI0/Cw22AuQJEmSJEmSJEmSJEmSJEkjjwmKkiRJkiRJkiRJkiRJkiSp7UxQlCRJkiRJkiRJkiRJkiRJbddygmJE7BQRsyofj0fE8n0YY4XKvbMi4pmI2L7VdUmSJEmSJEkaPowzSpIkSZIkSSNPO05Q/BCwDLA0cGFmPtXsAJn5JPDHyjjLAIe1YV2SJEmSJEmShg/jjJIkSZIkSdII01KCYkSMAd5a1XRGC8Od3jEssEdERAtjSZIkSZIkSRomjDNKkiRJkiRJI1OrJyi+DphcefwicFkLY/29MgYUu5s3aWEsSZIkSZIkScOHcUZJkiRJkiRpBGo1QXHDyr8J3JiZ2deBMvMV4IY6Y0uSJEmSJEka2YwzSpIkSZIkSSPQ2BbvX6Hq8WMtjlUeY6U2jCdJkiRJkiRp6DPOKHXjlVde4Y477uCGG27gySef5IUXXmCppZZiueWWY7PNNmODDTZgzJgxg71MSZIkSZKkulpNUBxf9XhBi2OVx1iyDeNJkiRJkiRJGvqMM2rQZSb33nsv1157Ldddd13nx6xZszr7HHzwwcycOXNA1jN37ly+/vWv8+Mf/5j//Oc/3fZbaaWVmDFjBp/+9KdZeumlB2RtkiRJkiRJjWo1QXFW1ePlWxyrPMbzbRhPkiRJkiRJ0tBnnFGD6gMf+ADnnnsuzz8/NF4uN9xwA+94xzt46KGHeu37+OOP85WvfIXTTz+dc889l6233noAVihJkiRJktSYVhMUn6r8G8DmERGZmX0ZKCIC2LzO2JIkSZIkSZJGNuOMGlTXX3/9kElOvP/++9l5551rTm6cNGkS73znO9l8881Zeumlef7557n22ms555xzmDt3LgCPPfYYu+66K//+979Zb731Bmv5kiRJkiRJNVpNULy66vEUYBfgoj6OtQswter6hj6OI0mSJEmSJGl4Mc6oIWPMmDGsv/76bLHFFqy++up88YtfHND5jz766JrkxJ122olf/vKXLL9818NFv/GNb/Dud7+byy67DIDZs2fzsY99jD/96U8Dtl5JkiRJkqSeLNbKzZn5MHAXkBS7m78SEeOaHadyz5ermh7MzLtaWZskSZIkSZKk4cE4owbbfvvtx0knncSVV17JnDlzuOWWWzj99NM55JBDBnQdTz75JL///e87r1deeWXOO++8usmJACussAIXXHABK620UmfbRRddxGOPPdbva5UkSZIkSWpESwmKFT+iCBom8DrgrIgY3+jNEbE48HPg9ZWmBE5tw7okSZIkSZIkDR/GGTVoPvvZz3LkkUeyzTbbMGHChEFbx/XXX88rr7zSeX3ggQey1FJL9XjPpEmTOOCAAzqvM5Mbb7yx39YoSZIkSZLUjHYkKJ4MdGzHDGAf4NqIeHtvN1b6XAPsSxEwBHgC+E4b1iVJkiRJkiRp+DDOqFHvmWeeqbleZ511Grpv2rRpNdfVJaIlSZIkSZIG09hWB8jM+RHxHuBiYBxF8HBD4PyIeBy4ArgdeI4iOLgMsAGwPbASr+6KDuAl4D2ZOa/VdUmSJEmSJEkaPowzSjBlypSa67lz5zZ0X7nfCius0LY1SZIac88993Ddddfx6KOPsnDhQlZddVU23nhjNtlkk8FemkYBX39S73yfSNLgaTlBESAz/xkRBwEzgSUqzQGsTLHTuZ7ouL3yeB4wIzP/0Y41SZIkSZIkSRpejDNqtNtqq60YO3YsCxcuBOCSSy7h4x//eK/3XXLJJZ2PJ0yYwNZbb91va5Qk1frDH/7Asccey9VXX133+Q033JBPfepTvP/97x/glWk08PXXOpPWRr6h8j55/PHHue6667juuuu49tprue6663jooYc6n19jjTV44IEH+nUNkjRY2pKgCJCZv4mIO4GfAxt3NPd0C0XAMICbgAMz85Z2rUeSJEmSJEnS8GOcUaPZsssuywEHHMDpp58OFH9MvfDCC3n727uvdH7++efzhz/8ofP6iCOOYNKkSf2+Vkka7TKTj3zkI5x00kk99rvttts4+OCDOe+88zjrrLMYP378AK1QI5mvv9YNlaQ19Z+h8j45+eSTOeGEE3j00UfbOq4kDSeLtXOwzLwpMzcF3glcCMzh1eBg+WMO8Htgr8zczKChJEmSJEmSJDDOqNHtm9/8JtOmTQOKP6rus88+HHPMMTz44IM1/R544AE+85nPsO+++3a27bDDDnzxi18c0PVK0mj1mc98pibpZfz48Rx44IF85zvf4fvf/z6HHXYYSy21VOfz55xzDh/4wAfI7GnfhdQYX399l5kcddRRvP3tb+82ORFeTVp717vexUsvvTSAK1S7DJX3yV133WVyoqRRL/rzf0IiYjFgA2AlYNlK8yzgceC2zHyl3yYfpaZPn57XXHPNYC+jrY499tjBXsKQ4NdBkiRJkiS1W0Rcm5nTB3sdvTHOOPBGYpyxLx544AHWWmutzuuDDz6YmTNn9vu8TzzxBIcddhjnn39+TfvUqVOZPHkyzz//PM8++2xn+xJLLMGHP/xhjj/+eCZMmNDv65Ok0e7iiy9ml1126bx+7Wtfyx/+8AfWXXfdmn5PPPEEe+yxB9X/Tf3xj3/MIYccMmBr1cjj6681n/70p/nqV7/aeT1+/Hj2228/pk+fztixY7nppps466yzeOGFFzr77L///px55plExGAsWX0wlN4nRx99NCeeeGLn9RprrMHmm2/O5ptvzoknnsjTTz/d2W6JZ0nDWU9xxn5NUNTAG4mBQxPzCn4dJEmSJElSuw2XBEUNvJEYZ+yLwUpQ7HDppZdy5JFHcvvtt3fbZ6ONNuKUU05h++23H7B1SdJolplMnz6d6667DiiSm66//no22GCDuv2feOIJNtpoI5555hkAVlttNe6++26WWGKJAVuzRg5ff60ZSklr6j9D7X3yy1/+kgcffJDNN9+cLbbYgqlTp3Y+t+aaa3aelG6CoqThrqc4Y1tLPEuSJEmSJEmSpNbMmTOHo48+mre97W09JicC3Hrrreywww7svffePPLIIwO0QkkavS677LLOpBeAI444otukF4AVV1yRz33uc53XjzzyCL/61a/6dY0auXz99V1m8qlPfarzevz48VxwwQVdkhOh+Lr9/ve/Z9lll+1sO/bYY5k/f/6ArFWtGWrvk/e+97186lOfYpdddqlJTpSk0cQERUmSJEmSJEmShoiHH36YLbbYghNPPJF58+ax2GKL8f73v5+LL76Yp59+mpdffpmnn36aiy++mIMOOoiIIDM577zz2HzzzbnlllsG+1OQpBHt7LPPrrn+0Ic+1Os973//+xk/fny3Y0iN8vXXd0MtaU39x/eJJA09JihKkiRJkiRJkjQELFiwgL322ou7774bgMUXX5wLL7yQ008/nZ133plll12WsWPHsuyyy7Lzzjvzs5/9jAsvvJDFF18cgKeeeoq9996buXPnDuanIUkj2u9///vOx2ussQbrr79+r/dMmTKFrbbaqvP6L3/5Cy+99FK/rE8jm6+/vjNpbfTwfSJJQ48JipIkSZIkSZIkDQEzZ87khhtu6Lz+4he/yG677dbjPbvvvjvHH3985/W9997Lqaee2l9LlKRRbfbs2TzwwAOd19ttt13D926//fadj+fPn89dd93VzqVpFPD11xqT1kYH3yeSNDS1NUExIpaOiMMj4hcRcVtEPBURL0XEoiY/FrZzXZIkSZIkSZKGD+OMGq1+8YtfdD5efPHFOeKIIxq678gjj2TcuHGd17/97W/bvjZJEtx2220119OmTWv43nXWWafm+vbbb2/LmjR6+PrrO5PWRg/fJ5I0NI1txyARsRjwaeCzwBIdze0YW5IkSZIkSdLoYJxRo92NN97Y+Xj99ddnqaWWaui+pZZaivXXX5+bb74ZgFtvvbVf1idJo919991Xc7366qs3fO8aa6zR41hSb3z99V27k9Y22WSTtqxL7ef7RJKGppYTFCtBw18A+/JqsDArHwYPJUmSJEmSJPXKOKMEL7zwQufjRpMT6/V/8cUX27YmSdKrZs+eXXM9derUhu+dMmVKj2NJvfH113cmrY0evk8kaWhqxwmKHwX2qzzuCBYGcC9wB/A88HIb5pEkSZIkSZI0chln1Kg3ZcoUnnzySQAef/zxpu597LHHOh8vu+yybV2XJKlQnUgOMGHChIbvXXLJJWuu58yZ05Y1afTw9dd3Jq2NHr5PJGloailBMSLGAMdQGzD8BXBcZt7V+vIkSZIkSZIkjXTGGaXCtGnTOhMU77vvPu6+++6GShDeeeedPPDAA53X6623Xn8tUZJGtXnz5tVcL7744g3fO378+B7Hknrj66/vTFobPXyfSNLQtFiL928LdGwvSODEzDzAoKEkSZIkSZKkJhhn1Ig1Y8YMIqLz49JLL+227+67715z/elPf7rX8TOTT37ykz2OI0lqj3JS04IFCxq+96WXXupxLKk3vv76zqS10cP3iSQNTa0mKG5Q+TeAOcBnWhxPkiRJkiRJ0uhjnFECDjvsMCZNmtR5fc4553DIIYd0OfWnw+zZsznooIO44IILOtumTJnCBz/4wX5fqySNRksttVTNdTOJSuW+1T/vpUb4+us7k9ZGD98nkjQ0tVTiGVi28m8CV2Tm/BbHkyRJkiRJkjT6GGfUoLrqqqs44IADurQvXLiw5vqcc87hn//8Z5d+W2+9NWeeeWbL61h++eX57ne/ywc+8IHOttNOO41zzz2Xd77znWy22WZMmjSJ2bNnc/3113Puuefy/PPPd/aNCE4++WSmTJnS8lokSV1Nnjy55vrZZ59t+N5yXxNf1Cxff31n0tro4ftEkoamVhMUn+nmsSRJkiRJkiQ1yjijBtW8efO49957e+03Z84c5syZ06V9tdVWa9taZsyYwYIFCzj66KM7/yD+7LPPctppp/V438SJEznppJN473vf27a1SJJqrb322jXXDz74YMP3lvuWx5J64+uv70xaGz18n0jS0NRqieeHqh5PbXEsSZIkSZIkSaOTcUapymGHHcaNN97YpeRzPZMnT+bwww/npptu4uCDDx6gFUrS6LThhhvWXN99990N33vPPff0OJbUG19/fWfS2ujh+0SShqZWT1D8OzAbmAxs0fpyJEmSJEmSJI1Cxhk1qHbccUcys1/GnjlzJjNnzmz6vmnTpnHKKafw/e9/n5tvvpmbb76ZWbNmMXfuXCZOnMjUqVPZZJNN2HTTTRk7ttVQv6T/z959x0dVrH8c/w5JgNBCB6mhCYLSRERRAVGw0CwIXhURKRZUwIaiF7zqj6uiYEMQFLBcBUVUQEVUQEGkK4iK1NBrwBBIIGV+fyRZdkPKJns2u5t83q/XvnLmZGbOkwV2lyfPnAG8Ua5cOUVHR2vHjh2SpJ9//tnrscuWLXMdlyxZUueee67T4aGQ4+9f/lG0VnTw7wQAgpNPd1C01iZI+iC9WcUY08P3kAAAAAAAAAAUJeQZgexFRESodevWuvPOOzV8+HA99dRTGj58uO688061bt2a4kQAKGDdunVzHcfExGjTpk25jjl27JhWrFjhal999dUqUaKEX+JD4cbfv/zJKFrLQNFa4ca/EwAIPr5u8SxJT0jaJslIetUYU9WBOQEAAAAAAAAULeQZAQBA0Lvxxhs92pMmTcp1zIwZM3Tq1Kls5wC8xd+//KNorejg3wkABB+fCxSttccl9ZK0W1JdST8ZY9r6Oi8AAAAAAACAooM8IwAACAUdO3ZUy5YtXe233npLf/75Z7b9Dx48qOeee87VrlGjhvr06eP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\n",
      "text/plain": [
       "<Figure size 2592x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=2, ncols=2, figsize = (36,20), constrained_layout=True,\n",
    "                       sharex=False, sharey=False)\n",
    "for j in range(len(metric_names)):\n",
    "    metric_name = metric_names[j]\n",
    "    x = np.arange(len(comp))\n",
    "    rects2 = axs[int(j/2), j%2].bar(x - width*4.5/5, 100*((comp_n['kNN Links'][j]-comp_n['Original'][j])/comp_n['Original'][j]).round(3), \n",
    "                                    width*4/8, label='kNN Links',alpha=0.5, color='k')\n",
    "    rects3 = axs[int(j/2), j%2].bar(x - width*1.5/5, 100*((comp_n['SOC Links'][j]-comp_n['Original'][j])/comp_n['Original'][j]).round(3), width*4/8, label='SOC Links',alpha=0.8)\n",
    "    rects4 = axs[int(j/2), j%2].bar(x + width*1.5/5, 100*((comp_n['SPA Links'][j]-comp_n['Original'][j])/comp_n['Original'][j]).round(3), width*4/8, label='SPA Links',alpha=0.8)\n",
    "    rects5 = axs[int(j/2), j%2].bar(x + width*4.5/5, 100*((comp_n['TEM Links'][j]-comp_n['Original'][j])/comp_n['Original'][j]).round(3), width*4/8, label='TEM Links',alpha=0.8)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_yticks(np.arange(-75,56, 15).round(2), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_yticklabels(np.arange(-75,56, 15).round(2), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_ylabel('Relative Difference (%)',size=40)\n",
    "    \n",
    "    axs[int(j/2), j%2].bar_label(rects2, size=38, padding=1)\n",
    "    axs[int(j/2), j%2].bar_label(rects3, size=38, padding=1)\n",
    "    axs[int(j/2), j%2].bar_label(rects4, size=38, padding=1)\n",
    "    axs[int(j/2), j%2].bar_label(rects5, size=38)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_xticks(x, model_names[1:4], size=45)\n",
    "    axs[int(j/2), j%2].set_title(metric_name+'\\n', size=45)\n",
    "    \n",
    "    if j==3:\n",
    "        axs[int(j/2), j%2].legend(fontsize=40,frameon=False, ncol=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "158bdcdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "ndics = [metrics_o, SOC, SPA, TEM, nSOC, nSPA, nTEM]\n",
    "ndic_names = ['Original', 'SOC Links', 'SPA Links', 'TEM Links', 'NO SOC Links', 'NO SPA Links', 'NO TEM Links']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3b1d5540",
   "metadata": {},
   "outputs": [],
   "source": [
    "ncomp = {}\n",
    "for model in compare[4:]:\n",
    "    ncomp[model] = {}\n",
    "    for d in range(len(ndics)):\n",
    "        ncomp[model][ndic_names[d]] = ndics[d][model][0][2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "acd4ba37",
   "metadata": {},
   "outputs": [],
   "source": [
    "ncomp_n = {}\n",
    "for i in ndic_names:\n",
    "    ncomp_n[i] = np.vstack((pd.DataFrame(ncomp).loc[i])).T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "d40287d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'HeteroGNN': {'Original': array([96.63, 99.11, 77.33, 84.73]),\n",
       "  'SOC Links': array([62.34, 95.67, 66.72, 71.77]),\n",
       "  'SPA Links': array([64.13, 82.02, 47.  , 45.37]),\n",
       "  'TEM Links': array([84.39, 88.67, 55.3 , 54.04]),\n",
       "  'NO SOC Links': array([91.06, 85.52, 49.55, 49.7 ]),\n",
       "  'NO SPA Links': array([90.26, 98.87, 68.6 , 74.58]),\n",
       "  'NO TEM Links': array([72.28, 93.35, 64.49, 73.45])},\n",
       " 'HGT': {'Original': array([96.95, 98.03, 73.81, 79.31]),\n",
       "  'SOC Links': array([96.95, 98.03, 73.48, 79.8 ]),\n",
       "  'SPA Links': array([96.95, 98.03, 73.58, 79.36]),\n",
       "  'TEM Links': array([96.95, 98.03, 73.48, 79.31]),\n",
       "  'NO SOC Links': array([96.95, 98.03, 73.74, 79.31]),\n",
       "  'NO SPA Links': array([96.95, 98.03, 73.73, 79.31]),\n",
       "  'NO TEM Links': array([96.95, 98.03, 73.48, 79.31])}}"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ncomp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "82c0ac5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2592x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(nrows=2, ncols=2, figsize = (36,20), constrained_layout=True,\n",
    "                       sharex=False, sharey=False)\n",
    "for j in range(len(metric_names)):\n",
    "    metric_name = metric_names[j]\n",
    "    x = np.arange(len(ncomp))\n",
    "    rects1 = axs[int(j/2), j%2].bar(x - width*7.2/7, 100*((ncomp_n['SOC Links'][j]-ncomp_n['Original'][j])/ncomp_n['Original'][j]).round(3), width*4/11, label='SOC Links',alpha=0.8)\n",
    "    rects2 = axs[int(j/2), j%2].bar(x - width*4.3/7, 100*((ncomp_n['SPA Links'][j]-ncomp_n['Original'][j])/ncomp_n['Original'][j]).round(3), width*4/11, label='SPA Links',alpha=0.8)\n",
    "    rects3 = axs[int(j/2), j%2].bar(x - width*1.42/7, 100*((ncomp_n['TEM Links'][j]-ncomp_n['Original'][j])/ncomp_n['Original'][j]).round(3), width*4/11, label='TEM Links',alpha=0.8)\n",
    "    rects4 = axs[int(j/2), j%2].bar(x + width*1.42/7, 100*((ncomp_n['NO SOC Links'][j]-ncomp_n['Original'][j])/ncomp_n['Original'][j]).round(3), width*4/11, label='NO SOC Links',alpha=0.8)\n",
    "    rects5 = axs[int(j/2), j%2].bar(x + width*4.3/7, 100*((ncomp_n['NO SPA Links'][j]-ncomp_n['Original'][j])/ncomp_n['Original'][j]).round(3), width*4/11, label='NO SPA Links',alpha=0.8)\n",
    "    rects6 = axs[int(j/2), j%2].bar(x + width*7.2/7, 100*((ncomp_n['NO TEM Links'][j]-ncomp_n['Original'][j])/ncomp_n['Original'][j]).round(3), width*4/11, label='NO TEM Links',alpha=0.8)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_yticks(np.arange(-65,15, 15).round(2), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_yticklabels(np.arange(-65,15, 15).round(2), fontsize=35)\n",
    "    axs[int(j/2), j%2].set_ylabel('Relative Difference (%)',size=40)\n",
    "    \n",
    "    axs[int(j/2), j%2].bar_label(rects1, size=38,padding=20)\n",
    "    axs[int(j/2), j%2].bar_label(rects2, size=38,padding=10)\n",
    "    axs[int(j/2), j%2].bar_label(rects3, size=38,padding=5)\n",
    "    axs[int(j/2), j%2].bar_label(rects4, size=38,padding=10)\n",
    "    axs[int(j/2), j%2].bar_label(rects5, size=38,padding=5)\n",
    "    axs[int(j/2), j%2].bar_label(rects6, size=38,padding=10)\n",
    "    \n",
    "    axs[int(j/2), j%2].set_xticks(x, model_names[4:], size=45)\n",
    "    axs[int(j/2), j%2].set_title(metric_name+'\\n', size=45)\n",
    "    \n",
    "    if j==3:\n",
    "        axs[int(j/2), j%2].legend(fontsize=40,frameon=False, ncol=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7331ea1c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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