example/classification/s3_output_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Single Label (binary, multi-class)\n",
    "2. Multi Label (multi-label)\n",
    "3. Single Label Background (binary, multi-class)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "ROOT = \"/home/james/Desktop/mygithub/COSMOduleS\"\n",
    "\n",
    "import os\n",
    "os.chdir(ROOT)\n",
    "\n",
    "from cosmodules.classification import ClassificationAnalysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Single Label (binary, multi-class)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "UFuncTypeError",
     "evalue": "Cannot cast ufunc 'divide' output from dtype('float64') to dtype('int64') with casting rule 'same_kind'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mUFuncTypeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mClassificationAnalysis\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43mant_path\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mROOT\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m/example/classification/prediction/single_label.json\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43msave_folder\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mROOT\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m/example/classification/output/metrics/single_label\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m      4\u001b[0m \u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Desktop/mygithub/COSMOduleS/cosmodules/classification/output_analysis.py:17\u001b[0m, in \u001b[0;36mClassificationAnalysis.__init__\u001b[0;34m(self, ant_path, save_folder, pipeline_cfg_path)\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\n\u001b[1;32m     12\u001b[0m         \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m     13\u001b[0m         ant_path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m     14\u001b[0m         save_folder: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m     15\u001b[0m         pipeline_cfg_path: Optional[\u001b[38;5;28mstr\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m     16\u001b[0m     ):\n\u001b[0;32m---> 17\u001b[0m     \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__init__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mant_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msave_folder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpipeline_cfg_path\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Desktop/mygithub/COSMOduleS/cosmodules/utils/analysis/base_analysis.py:39\u001b[0m, in \u001b[0;36mBaseAnalysis.__init__\u001b[0;34m(self, ant_path, save_folder, pipeline_cfg_path)\u001b[0m\n\u001b[1;32m     30\u001b[0m metrics_pipeline_cls \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(pipelines, pipeline_cfg[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmetrics_pipeline\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[1;32m     31\u001b[0m metrics_pipeline \u001b[38;5;241m=\u001b[39m metrics_pipeline_cls(\n\u001b[1;32m     32\u001b[0m     num_classes \u001b[38;5;241m=\u001b[39m num_classes,\n\u001b[1;32m     33\u001b[0m     labels \u001b[38;5;241m=\u001b[39m labels,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     37\u001b[0m     start_idx \u001b[38;5;241m=\u001b[39m start_idx\n\u001b[1;32m     38\u001b[0m )\n\u001b[0;32m---> 39\u001b[0m metrics \u001b[38;5;241m=\u001b[39m \u001b[43mmetrics_pipeline\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     41\u001b[0m \u001b[38;5;66;03m# plotting pipeline\u001b[39;00m\n\u001b[1;32m     42\u001b[0m plotting_pipeline_cls \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(pipelines, pipeline_cfg[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplotting_pipeline\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n",
      "File \u001b[0;32m~/Desktop/mygithub/COSMOduleS/cosmodules/utils/pipelines/metrics_pipelines.py:45\u001b[0m, in \u001b[0;36mBaseMetricsPipeline.run\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrun\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Dict:\n\u001b[1;32m     43\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m func_dict \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunc_dicts:\n\u001b[1;32m     44\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmetrics[func_dict[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlog_name\u001b[39m\u001b[38;5;124m\"\u001b[39m]] \u001b[38;5;241m=\u001b[39m \\\n\u001b[0;32m---> 45\u001b[0m             \u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc_dict\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunc_name\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mfunc_dict\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfunc_args\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     46\u001b[0m     os\u001b[38;5;241m.\u001b[39mmakedirs(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mdirname(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msave_path), exist_ok\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m     47\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msave_path, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n",
      "File \u001b[0;32m~/Desktop/mygithub/COSMOduleS/cosmodules/utils/pipelines/metrics_pipelines.py:201\u001b[0m, in \u001b[0;36mCommonMetricsPipeline.get_confusion_axis_norm\u001b[0;34m(self, confusion_key, axis)\u001b[0m\n\u001b[1;32m    199\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(confusion_axis_norm)):\n\u001b[1;32m    200\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m axis \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 201\u001b[0m         \u001b[43mconfusion_axis_norm\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis_sum\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1e-10\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    202\u001b[0m     \u001b[38;5;28;01melif\u001b[39;00m axis \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m    203\u001b[0m         confusion_axis_norm[i, :] \u001b[38;5;241m/\u001b[39m\u001b[38;5;241m=\u001b[39m (axis_sum[i] \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1e-10\u001b[39m)\n",
      "\u001b[0;31mUFuncTypeError\u001b[0m: Cannot cast ufunc 'divide' output from dtype('float64') to dtype('int64') with casting rule 'same_kind'"
     ]
    }
   ],
   "source": [
    "ClassificationAnalysis(\n",
    "    ant_path = f\"{ROOT}/example/classification/prediction/single_label.json\",\n",
    "    save_folder = f\"{ROOT}/example/classification/output/metrics/single_label\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Multi Label (multi-label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABNoAAAGvCAYAAACNXLifAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABFZklEQVR4nO3dd5hU9aE+8HcX2AVkAUEUKdKL3UTE3EhRQRN711ijVzFcY01s2DFRb0xivxo1xpKYaxSDGpOoIUaDmNii2BURy7UXpKgUYX5/+GPjukjRsywDn8/z8DzOOec78z2z63ln3zlzpqJUKpUCAAAAAHwllY09AQAAAABYESjaAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNpgOfbrX/86/fv3T7NmzdK2bdvC7/+MM85IRUVF4fcLsKJ56aWXUlFRkWuuuaaxp7LMHHbYYdlqq60aexqLtPnmm2fzzTdfqjHXXHNNKioq8tJLLzXInJLk6aefTtOmTfPkk0822GMA8KkHH3wwVVVVefnllxt7Kl/o83m1sNcVJ554YjbddNNlPzkKp2iD5dSzzz6bAw88ML169cqVV16ZK664orGnBMBKYsqUKfnlL3+Zk046qbGnUpbWWWedbLfddjnttNMaeyoAK7yTTz45e++9d7p169bYU/lKjj766EycODG33XZbY0+Fr0jRBsupe+65J/Pnz8+FF16YAw88MHvuuWfhj3HKKafk448/Lvx+AShvF154YXr06JEtttiisaeySHfddVfuuuuupRqz//775+OPP27wP8hGjhyZsWPHZvLkyQ36OAArs8ceeyzjxo3LyJEjG3sqX1nHjh2z00475Wc/+1ljT4WvSNEGy6m33347SRrkI6MLNG3aNM2bN2+w+wegYXz00UcNdt9z587N9ddfX/gbPA0x56qqqlRVVS3VmCZNmqR58+YNfumE4cOHZ9VVV821117boI8DlLcPP/ywsafQoBp6/66++uqstdZa+cY3vrHI7UqlUlmcYLDnnnvmvvvuy4svvtjYU+ErULTBEnrttddy8MEHp1OnTqmurk6PHj3yX//1X5kzZ06S5MUXX8wee+yRdu3apWXLlvnGN76RP/7xj3Xu45577klFRUVuvPHGnHXWWenSpUuaN2+eYcOG5YUXXqjdrnv37jn99NOTJB06dEhFRUXOOOOMJKnz35/VvXv3HHjggbW3586dm9GjR6dPnz5p3rx52rdvn0GDBuUvf/lL7TYLu0bbJ598kh/96Efp1atXqqur071795x00kmZPXt2vcfbfvvtc99992XgwIFp3rx5evbsmeuuu26pn1uAhrK4Y3eyZMfvJbXg+l8TJkzID37wg3To0CGrrLJKdtlll7zzzjv1tr/00kuz7rrrprq6Op06dcr3v//9fPDBB3W22XzzzbPeeuvlkUceyZAhQ9KyZcucdNJJtdd3+dnPfpb/+Z//Sc+ePdOyZctsvfXWefXVV1MqlfKjH/0oXbp0SYsWLbLTTjvl/fffX+w+3HfffXn33XczfPjwOssXZNjvfve7nHTSSenYsWNWWWWV7Ljjjnn11VeXaM5JMnv27Jx++unp3bt3qqur07Vr1xx//PH1ciZJfvOb32TgwIFp2bJlVl111QwZMqTOGWwLu0bbxRdfnHXXXbd2zIABA/Lb3/623s/o89doW5qfxdNPP50tttgiLVu2TOfOnXPuuefWm3uzZs2y+eab59Zbb/3C5xpYuSx47f30009nn332yaqrrppBgwYlWbLX4D/4wQ/Svn37lEql2mVHHHFEKioqctFFF9Uue+utt1JRUZHLLrtskfOpqKjI4YcfnltuuSXrrbdeqqurs+666+aOO+6ot+2jjz6abbbZJq1bt06rVq0ybNiw/POf/6yzzYLj67333pvDDjssq6++erp06ZLk38fPxx9/PEOHDk3Lli3Tu3fvjBkzJkly7733ZtNNN02LFi3Sr1+/jBs3bome01tuuSVbbrllvb9pFvytcuedd2bAgAFp0aJFLr/88iTJBx98kKOPPjpdu3ZNdXV1evfunZ/85CeZP39+nftY8Omi9ddfP82bN0+HDh3y7W9/Ow8//HDtNldffXW23HLLrL766qmurs4666yz2Od9URZkr+wob00bewJQDl5//fUMHDgwH3zwQQ499ND0798/r732WsaMGZOPPvooU6dOzTe/+c189NFHOfLII9O+fftce+212XHHHTNmzJjssssude7vv//7v1NZWZljjz0206ZNy7nnnpt99903DzzwQJLkggsuyHXXXZexY8fmsssuS6tWrbLBBhss1ZzPOOOMnHPOOTnkkEMycODATJ8+PQ8//HD+9a9/LfLi1occckiuvfba7L777vnhD3+YBx54IOecc06eeeaZjB07ts62L7zwQnbfffccfPDB+e53v5tf/epXOfDAA7Pxxhtn3XXXXar5AhRtccfuqqqqvPXWW0t1/F5SRxxxRFZdddWcfvrpeemll3LBBRfk8MMPz+9+97vabc4444yMHj06w4cPz3/913/lueeey2WXXZaHHnooEyZMSLNmzWq3fe+997LNNtvkO9/5Tvbbb7+sscYateuuv/76zJkzJ0cccUTef//9nHvuudlzzz2z5ZZb5p577skJJ5yQF154IRdffHGOPfbY/OpXv1rk3O+///5UVFTka1/72kLXn3XWWamoqMgJJ5yQt99+OxdccEGGDx+exx57LC1atFjknOfPn58dd9wx9913Xw499NCsvfbaeeKJJ3L++efn+eefzy233FI7fvTo0TnjjDPyzW9+M2eeeWaqqqrywAMP5O67787WW2+90LldeeWVOfLII7P77rvnqKOOyqxZs/L444/ngQceyD777POF+7w0P4upU6fm29/+dnbdddfsueeeGTNmTE444YSsv/762Wabberc78Ybb5xbb70106dPT+vWrRf5vAMrjz322CN9+vTJ2WefXVuaLclr8MGDB+f888/PU089lfXWWy9JMn78+FRWVmb8+PE58sgja5clyZAhQxY7l/vuuy+///3vc9hhh6WmpiYXXXRRdtttt7zyyitp3759kuSpp57K4MGD07p16xx//PFp1qxZLr/88my++ea1BdlnHXbYYenQoUNOO+20Ome0TZ06Ndtvv32+853vZI899shll12W73znO7n++utz9NFHZ+TIkdlnn33y05/+NLvvvnteffXV1NTUfOHcX3vttbzyyiv5+te/vtD1zz33XPbee+9873vfy4gRI9KvX7989NFHGTp0aF577bV873vfy1prrZX7778/o0aNyhtvvJELLrigdvzBBx+ca665Jttss00OOeSQfPLJJxk/fnz++c9/ZsCAAUmSyy67LOuuu2523HHHNG3aNH/4wx9y2GGHZf78+fn+97+/2Of/89q0aZNevXplwoQJOeaYY5Z6PMuJErBYBxxwQKmysrL00EMP1Vs3f/780tFHH11KUho/fnzt8hkzZpR69OhR6t69e2nevHmlUqlU+tvf/lZKUlp77bVLs2fPrt32wgsvLCUpPfHEE7XLTj/99FKS0jvvvFPn8ZKUTj/99Hrz6NatW+m73/1u7e0NN9ywtN122y1yvxY8xgKPPfZYKUnpkEMOqbPdscceW0pSuvvuu+s8XpLS3//+99plb7/9dqm6urr0wx/+cJGPC7AsLO7YXSqVlvj4PWXKlFKS0tVXX73Ix7z66qtLSUrDhw+vfYxSqVQ65phjSk2aNCl98MEHpVLp0+NlVVVVaeutt659jFKpVLrkkktKSUq/+tWvapcNHTq0lKT0i1/8os5jLZhThw4dau+3VCqVRo0aVUpS2nDDDUtz586tXb733nuXqqqqSrNmzVrkPuy3336l9u3b11u+IMM6d+5cmj59eu3yG2+8sZSkdOGFFy52zr/+9a9LlZWVdZ7vUqlU+sUvflFKUpowYUKpVCqVJk2aVKqsrCztsssudZ6fUqlU53kdOnRoaejQobW3d9ppp9K66667yP1b8DOaMmVKqVT6cj+L6667rnbZ7NmzSx07dizttttu9R7rt7/9bSlJ6YEHHljknICVw4LX3nvvvXed5Uv6Gvztt98uJSldeumlpVKpVPrggw9KlZWVpT322KO0xhpr1I478sgjS+3atatzvFyYJKWqqqrSCy+8ULts4sSJpSSliy++uHbZzjvvXKqqqipNnjy5dtnrr79eqqmpKQ0ZMqR22YLj66BBg0qffPJJncdacPz87W9/W7vs2WefLSUpVVZWlv75z3/WLr/zzjuXKHPHjRtXSlL6wx/+UG/dgr9V7rjjjjrLf/SjH5VWWWWV0vPPP19n+Yknnlhq0qRJ6ZVXXimVSqXS3XffXUpSOvLII+vd92ef148++qje+m9961ulnj171ln2+bxa1OuKrbfeurT22mvX32HKho+OwmLMnz8/t9xyS3bYYYfady4+q6KiIn/6058ycODA2lO/k6RVq1Y59NBD89JLL+Xpp5+uM+aggw6qc02ZwYMHJ0mhn8Vv27ZtnnrqqUyaNGmJx/zpT39K8ulp6Z/1wx/+MEnqfZRqnXXWqZ178unHXPv16+eaAkCjW5Jjd5KlPn4vqUMPPbTOx1gGDx6cefPm5eWXX06SjBs3LnPmzMnRRx+dysp/vxwbMWJEWrduXe94W11dnYMOOmihj7XHHnukTZs2tbcXnFmw3377pWnTpnWWz5kzJ6+99toi5/7ee+9l1VVX/cL1BxxwQJ0zDHbfffesueaatRmyqDnfdNNNWXvttdO/f/+8++67tf+23HLLJMnf/va3JJ9+FGj+/Pk57bTT6jw/SRZ5bbW2bdvm//7v//LQQw8tch8/a2l/Fq1atcp+++1Xe7uqqioDBw5caPYteB7ffffdJZ4PsOL7/IX7l/Q1eIcOHdK/f//8/e9/T5JMmDAhTZo0yXHHHZe33nqr9nX/+PHjM2jQoCW6FuXw4cPTq1ev2tsbbLBBWrduXXtMmzdvXu66667svPPO6dmzZ+12a665ZvbZZ5/cd999mT59ep37HDFiRJo0aVLvsVq1apXvfOc7tbf79euXtm3bZu21165zVtyC/17c3xTvvfdeknxhZvXo0SPf+ta36iy76aabMnjw4Ky66qp1cmj48OGZN29e7XN78803p6KiovZyPp/12ef1s2dyT5s2Le+++26GDh2aF198MdOmTVvk/L/IgrlRvhRtsBjvvPNOpk+fXnt69sK8/PLL6devX73la6+9du36z1prrbXq3F4QDlOnTv2q06115pln5oMPPkjfvn2z/vrr57jjjsvjjz++yDEvv/xyKisr07t37zrLO3bsmLZt2y52P5JP96XI/QD4Mpbk2J0s/fF7SS3uOL/gfj//2FVVVenZs2e9x+3cufMXXvT/84+1oHTr2rXrQpcvyTG69Jnr/3xenz596tyuqKhI7969613zbGFznjRpUp566ql06NChzr++ffsm+fcXAU2ePDmVlZVZZ511FjvXzzrhhBPSqlWrDBw4MH369Mn3v//9TJgwYZFjlvZn0aVLl3p/vH5R9i14Hhv6ixeA8tKjR486t5fmNfjgwYNrPxo6fvz4DBgwIAMGDEi7du0yfvz4TJ8+PRMnTqzzZviiLO71/DvvvJOPPvroC7Ny/vz59a7T+fn9W2Bhx882bdp8pbxKvjizFjaPSZMm5Y477qiXQwuujfbZHOrUqVPatWu3yMeeMGFChg8fnlVWWSVt27ZNhw4daq9J+mWLtlKpJDfKnGu0QSNY2Ds8yaL/sFmcefPm1bk9ZMiQTJ48Obfeemvuuuuu/PKXv8z555+fX/ziFznkkEMWeV9LemBviP0AWBEUfXz87DvmS/pYX3YO7du3L+QNk4XNef78+Vl//fVz3nnnLXTM5//YWlprr712nnvuudx+++254447cvPNN+fSSy/NaaedltGjR3+l+15gaZ7XBc/jaqutVshjAyuGLzqmL8lr8EGDBuXKK6/Miy++mPHjx2fw4MGpqKjIoEGDMn78+HTq1Cnz589f4qKtIV7Pf9H+NUReJV9cyH1RDm211VY5/vjjFzpmwRs/S2Ly5MkZNmxY+vfvn/POOy9du3ZNVVVV/vSnP+X888+v9+UKS2rq1Klyo8wp2mAxOnTokNatW+fJJ5/8wm26deuW5557rt7yZ599tnZ9UVZdddV634I2Z86cvPHGG/W2bdeuXQ466KAcdNBBmTlzZoYMGZIzzjjjC4u2bt26Zf78+Zk0aVLt2RzJp99c9MEHHxS6HwANaUmO3cmyPX5//nGTTy/U/NmP4syZMydTpkyp942fy1L//v1z/fXXZ9q0aXU+krrA5y9JUCqV8sILLyzRl/b06tUrEydOzLBhwxb5B2WvXr0yf/78PP3009loo42Wav6rrLJK9tprr+y1116ZM2dOdt1115x11lkZNWpUmjdvXm/7hvxZTJkyJZWVlUv1hxuw8lma1+ALCrS//OUveeihh3LiiScm+fRN9ssuuyydOnXKKqusko033riQuXXo0CEtW7b8wqysrKz8ym+SfFn9+/dP8umxdkn16tUrM2fOXOyxvVevXrnzzjvz/vvvf+FZbX/4wx8ye/bs3HbbbXXODFxwGYQva8qUKdlwww2/0n3QuHx0FBajsrIyO++8c/7whz/U+SrnBUqlUrbddts8+OCD+cc//lG7/MMPP8wVV1yR7t27L/VHXxalV69etdcOWOCKK66od0bbgmsWLNCqVav07t27zleEf962226bJHW+bSdJ7ZkH22233ZedNsAytSTH7iTL9Pj9WcOHD09VVVUuuuiiOu/YX3XVVZk2bVqjHm//4z/+I6VSKY888shC11933XWZMWNG7e0xY8bkjTfeqPeNmwuz55575rXXXsuVV15Zb93HH39c++10O++8cyorK3PmmWfWOyNgUWc4fD77qqqqss4666RUKmXu3LkLHdOQP4tHHnkk66677kILS4AFluY1eI8ePdK5c+ecf/75mTt3bjbbbLMknxZwkydPzpgxY/KNb3yjzjU6v4omTZpk6623zq233lrnEgFvvfVWfvvb32bQoEGN9q3KnTt3TteuXRea819kzz33zD/+8Y/ceeed9dZ98MEH+eSTT5Iku+22W0ql0kLPhl6QFQvOxPtsdkybNi1XX331Uu3HZ02bNi2TJ0/ON7/5zS99HzQ+Z7TBEjj77LNz1113ZejQoTn00EOz9tpr54033shNN92U++67LyeeeGL+93//N9tss02OPPLItGvXLtdee22mTJmSm2++ud6FnL+KQw45JCNHjsxuu+2WrbbaKhMnTsydd95Z7/TiddZZJ5tvvnk23njjtGvXLg8//HDGjBmTww8//Avve8MNN8x3v/vdXHHFFfnggw8ydOjQPPjgg7n22muz8847Z4sttihsPwAa2uKO3W3btl2mx+/P6tChQ0aNGpXRo0fn29/+dnbcccc899xzufTSS7PJJpvUudj+sjZo0KC0b98+48aNq/2Sgs9q165dBg0alIMOOihvvfVWLrjggvTu3TsjRoxY7H3vv//+ufHGGzNy5Mj87W9/y2abbZZ58+bl2WefzY033pg777wzAwYMSO/evXPyySfnRz/6UQYPHpxdd9011dXVeeihh9KpU6ecc845C73/rbfeOh07dsxmm22WNdZYI88880wuueSSbLfddnW+wOGzGupnMXfu3Nx777057LDDvtR4YOWxtK/BBw8enBtuuCHrr79+7TVAv/71r2eVVVbJ888/n3322afQ+f34xz/OX/7ylwwaNCiHHXZYmjZtmssvvzyzZ8/OueeeW+hjLa2ddtopY8eOXeLrmh133HG57bbbsv322+fAAw/MxhtvnA8//DBPPPFExowZk5deeimrrbZatthii+y///656KKLMmnSpHz729/O/PnzM378+GyxxRY5/PDDs/XWW6eqqio77LBDvve972XmzJm58sors/rqqy/000ZLYty4cSmVStlpp52+1HiWD4o2WAKdO3fOAw88kFNPPTXXX399pk+fns6dO2ebbbZJy5Yt07Zt29x///054YQTcvHFF2fWrFnZYIMN8oc//KHwsxJGjBiRKVOm5Kqrrsodd9yRwYMH5y9/+UuGDRtWZ7sjjzwyt912W+66667Mnj073bp1y49//OMcd9xxi7z/X/7yl+nZs2euueaajB07Nh07dsyoUaMW+o07AMuzxR27k2SNNdZYZsfvzzvjjDPSoUOHXHLJJTnmmGPSrl27HHrooTn77LPTrFmzBn3sRamqqsq+++6bm266KWeffXa99SeddFIef/zxnHPOOZkxY0aGDRuWSy+9tPY5XZTKysrccsstOf/883Pddddl7NixadmyZXr27JmjjjqqzkcszzzzzPTo0SMXX3xxTj755LRs2TIbbLBB9t9//y+8/+9973u5/vrrc95552XmzJnp0qVLjjzyyJxyyimLnFdD/Cz++te/5v333893v/vdLzUeWLkszWvwBUXbZ78xu2nTpvmP//iPjBs3bomvz7ak1l133YwfPz6jRo3KOeeck/nz52fTTTfNb37zmzrfFtoY/vM//zOXXHJJJkyYUOf5+CItW7bMvffem7PPPjs33XRTrrvuurRu3Tp9+/bN6NGj65yBfPXVV2eDDTbIVVddleOOOy5t2rTJgAEDas8269evX8aMGZNTTjklxx57bDp27Jj/+q//SocOHfKf//mfX2p/brrppgwaNKjON8FSfipKrloOAMBnvPjii+nfv3/+/Oc/176Rc88992SLLbbITTfdlN13372RZ7j823nnnVNRUZGxY8c29lQAVmjDhg1Lp06d8utf/7qxp/KVvPnmm+nRo0duuOEGZ7SVOddoAwCgjp49e+bggw/Of//3fzf2VMrSM888k9tvvz0/+tGPGnsqACu8s88+O7/73e/y8ssvN/ZUvpILLrgg66+/vpJtBeCMNgAAFssZbQAAi+eMNgAAAAAogDPaAAAAAKAAzmgDAAAAgAIo2gAAAACgAE0bewLLo/nz5+f1119PTU1NKioqGns6AGWtVCplxowZ6dSpUyorvb+TyBmAosmauuQMQLGWJmcUbQvx+uuvp2vXro09DYAVyquvvpouXbo09jSWC3IGoGHImk/JGYCGsSQ5o2hbiJqamiRJ1TrfTUWTqkaeDSzaK/f8rLGnAIs0Y/r09O7RtfbYipyhvMgZyoGsqUvOUE7kDOVgaXJG0bYQC06vrmhSJZhY7rVu3bqxpwBLxEdX/k3OUE7kDOVE1nxKzlBO5AzlZElyxgUMAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKICiDQAAAAAKoGjjK1mlRVVOGbltbr3ksLx2z0/y8aOXZL8dNl3i8W1atcglp+ydV+4+J+/e//PcccWR2ah/lwacMSur2bNn5+RRJ6THWp2yak2LDP7mpvnruL8s0djXXnst++69Zzqu1jart2udPXbdKVNefLGBZwwkcobyIWegPMkZyomsKQ+KNr6S9m1b5eTvbZv+PTvmiedfW6qxFRUVGXvxyOy1zYD84oa/5+QLbk2HdjW588qj0mutDg00Y1ZWIw4+MBddcF6+s/e++dl5F6ZJkybZeYdtM+G++xY5bubMmfn2Vlvkvr/fm+NOPCmnnDY6jz32aLYaNjTvvffeMpo9rLzkDOVCzkB5kjOUE1lTHpo29gQWZ/PNN89GG22UCy64oLGnwkK8+e70dB8+Km+9NyNfX2etTLj++CUeu+vwjfIfG/XKPsf9MmPHPZYkufkv/8rjt5yWU0dulwNPuqZhJs1K56EHH8xNv7shZ//kpznmB8cmSfbd/4BsvNF6OXnU8bln/P1fOPbyX1yaFyZNyvj7H8yATTZJknzr29tk443Wy4Xn/zxn/vjsZbIPNCxZs/ySM5QDOcPiyJnll5yhXMia8uGMNr6SOXM/yVvvzfhSY3cZ/rW8+e703PLXibXL3p06Mzff9a9sv/n6qWq23PfAlImxvx+TJk2a5OBDDq1d1rx58xx40MF54J//yKuvvvrFY28ek40HbFIbSEnSr3//bLHlsNw85sYGnTcgZygPcgbKl5yhXMia8qFoo9Fs2L9LHnv21ZRKpTrLH37q5azSojp9uq3eSDNjRTPxsUfTp2/ftG7dus7yAZsMTJI8PvGxhY6bP39+nnzi8Wy88YB66wZsMjAvTp6cGTO+3AszoOHJGZYVOQMrJznDsiRrysdyVbR9+OGHOeCAA9KqVausueaa+fnPf15n/dSpU3PAAQdk1VVXTcuWLbPNNttk0qRJdba58sor07Vr17Rs2TK77LJLzjvvvLRt23YZ7gVLquNqbfLmu9PqLV+wbM0ObZb1lFhBvfnmG+nYcc16yxcse+P11xc67v3338/s2bPTcc2lH8vyS9asPOQMy4qc4bPkzMpDzrAsyZrysVwVbccdd1zuvffe3Hrrrbnrrrtyzz335F//+lft+gMPPDAPP/xwbrvttvzjH/9IqVTKtttum7lz5yZJJkyYkJEjR+aoo47KY489lq222ipnnXXWYh939uzZmT59ep1/NLwW1c0ye84n9ZbPmv1J7Xoowscff5zq6up6y5s3b167/ovGJUnVlxjL8qsxskbONA45w7IiZ/gsObPykDMsS7KmfCw3HxqfOXNmrrrqqvzmN7/JsGHDkiTXXnttunT59KuRJ02alNtuuy0TJkzIN7/5zSTJ9ddfn65du+aWW27JHnvskYsvvjjbbLNNjj320wsD9u3bN/fff39uv/32RT72Oeeck9GjRzfg3rEwH8+em+qq+r+Czaub1q6HIrRo0SKzZ8+ut3zWrFm1679oXJLM+RJjWT41VtbImcYhZ1hW5AwLyJmVi5xhWZI15WO5OaNt8uTJmTNnTjbddNPaZe3atUu/fv2SJM8880yaNm1aZ3379u3Tr1+/PPPMM0mS5557LgMHDqxzv5+/vTCjRo3KtGnTav8t6iKCFOfNd6el42r1T6desOyNd+qfhg1fRseOa+bNN9+ot3zBsjU7dVrouHbt2qW6ujpvvrH0Y1k+NVbWyJnGIWdYVuQMC8iZlYucYVmSNeVjuSnaGlN1dXVat25d5x8N7/Hn/i8b9e+aioqKOss3Wa97Pvx4dia9/HYjzYwVzQYbbpRJzz9f72MUDz34QO36hamsrMy6662fRx55uN66hx58ID169kxNTU3h82XFI2cah5xhWZEzNDY50zjkDMuSrCkfy03R1qtXrzRr1iwPPPBA7bKpU6fm+eefT5Ksvfba+eSTT+qsf++99/Lcc89lnXXWSZL069cvDz30UJ37/fxtGkfH1Vqnb/c10rTpv3/lxo57LB1Xa52dh21Yu6x921Wy61Zfy5/+/mTmzK1/vQP4MnbZdffMmzcvV/3yitpls2fPznXXXp1NBm6arl27JkleeeWVPPfss3XH7rZ7Hnn4oTzy8L+D6fnnnss9f7s7u+62x7LZAQoja1ZccobGJGdYQM6suOQMjU3WlI/l5hptrVq1ysEHH5zjjjsu7du3z+qrr56TTz45lZWfHsj69OmTnXbaKSNGjMjll1+empqanHjiiencuXN22mmnJMkRRxyRIUOG5LzzzssOO+yQu+++O3/+85/rvcNAsUbuNSRtalrUfqvOdkPXT+c12iZJLrvh3kyfOStnHrFj9t/xG+m37Wl55Y33kyS/H/doDn98Si4/Y7/079kx7039MIfuOThNKivyo8v+2Fi7wwpo4KabZtfd98hpJ4/KO2+/nV69euc3v742L7/0Un5xxVW12x1y0AEZ//d78/Hcf39F+/dGHparr7oyu+60XY76wbFp1rRZLrrwvKy+xho56pgfNsbu8BXImvIkZ1jeyRkWkDPlSc5QDmRN+VhuirYk+elPf5qZM2dmhx12SE1NTX74wx9m2rR/f6796quvzlFHHZXtt98+c+bMyZAhQ/KnP/0pzZp9+m0um222WX7xi19k9OjROeWUU/Ktb30rxxxzTC655JLG2qWVwtEHDEu3Tu1rb+88bKPsPGyjJMn//vGhTJ85a6Hj5s8vZefDL83Zx+ySw76zeVo0b5ZHnnolh57+G6dZU7irrr4uo9c6Nf97/a8zderUrLf+Bvn9rbdn0OAhixxXU1OTO8fdk+OPPSY/OfvHmT9/foYM3Tzn/uz8dOjQYRnNniLJmvIjZygHcoYF5Ez5kTOUC1lTHipKpVJp8ZuVrxEjRuTZZ5/N+PHjl3jM9OnT06ZNm1SvPyIVTaoacHbw1U19yIsulm/Tp0/PGu3bZNq0aSvsNWOWNmvkDOVEzlAOVvSskTOsyOQM5WBpcma5OqOtCD/72c+y1VZbZZVVVsmf//znXHvttbn00ksbe1oArEBkDQANSc4AlK8Vrmh78MEHc+6552bGjBnp2bNnLrroohxyyCGNPS0AViCyBoCGJGcAytcKV7TdeOONjT0FAFZwsgaAhiRnAMpX5eI3AQAAAAAWR9EGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAGWqmg788wz8+STTzbUXABYyckZABqSnAGgoS1V0XbGGWfk8ccfb6i5ALCSkzMANCQ5A0BD89FRAAAAACiAog0AAAAACtB0aQc8++yz+fvf/77E2w8ZMmRpHwKAlZicAaAhyRkAGlJFqVQqLenGlZWVqaioWKJtS6VSKioqMm/evC89ucYyffr0tGnTJtXrj0hFk6rGng4s0tSHLmnsKcAiTZ8+PWu0b5Np06aldevWi9xWzsDyR85QDpY0a+QMLH/kDOVgaf6mWeoz2o488sgMGjToS08OABZFzgDQkOQMAA1pqYu2TTbZJLvttltDzAUA5AwADUrOANCQfBkCAAAAABRgqc9oW5m8cs/PFvvZW2hsq25yeGNPARapNG9OY09huSVnKAdyhnIgaxZOzlAO5AzlYGlyZqmKtqFDh2bevHl57bXX0rlz5yTJrFmzcumll9bbtkuXLtlzzz2X5u4BWMnJGQAakpwBoKEtVdF20UUX5Wtf+1ouuOCCHH74p63zhx9+mGOPPTYVFRX57BeYNmnSJGuvvXbWX3/9YmcMwApLzgDQkOQMAA1tqa7Rdvnll6dbt2457LDD6q37zW9+kylTpmTKlCmZPHlyOnXqlMsvv7ywiQKw4pMzADQkOQNAQ1uqM9r+9re/Zdddd01lZf1+bo011ki3bt1qb++zzz657bbbvvoMAVhpyBkAGpKcAaChLdUZbS+99FL69+9fZ1nTpk2z4YYbpqamps7yHj165OWXX/7qMwRgpSFnAGhIcgaAhrbU3zo6f/78OrfbtGmTRx99tN52n7/GAQAsCTkDQEOSMwA0pKU6o61Lly6ZOHHiEm07ceLEdOnS5UtNCoCVk5wBoCHJGQAa2lIVbVtttVWuv/76vP3224vc7u23387111+frbba6itNDoCVi5wBoCHJGQAa2lIVbccee2zmzp2bYcOG5eGHH17oNg8//HCGDx+euXPn5oc//GEhkwRg5SBnAGhIcgaAhrZU12jr3r17brjhhuy9997ZdNNN07t376y33npp1apVZs6cmSeffDIvvPBCWrRokd/+9rfp0aNHQ80bgBWQnAGgIckZABraUn8Zwvbbb5+JEyfmJz/5Sf74xz9m7NixtevWXHPNHHzwwTn++OPTu3fvQicKwMpBzgDQkOQMAA1pqYu2JOnZs2cuv/zyJMmMGTMyffr01NTUpHXr1oVODoCVk5wBoCHJGQAaypcq2j6rpqYmNTU1RcwFAOqRMwA0JDkDQJGW6ssQAAAAAICFU7QBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0cZXMnv27Jw86oT0WKtTVq1pkcHf3DR/HfeXJRr72muvZd+990zH1dpm9Xats8euO2XKiy828IxZGQ3euE8+fvSShf4buH73xY7v1KFNfvOT/8wbfz83b43/aW48/9B079y+4ScOyBnKxiotqnLKyG1z6yWH5bV7fpKPH70k++2w6RKPb9OqRS45Ze+8cvc5eff+n+eOK47MRv27NOCMgQVkDeVAzpSPpo09AcrbiIMPzNibx+TwI49O79598uvrrsnOO2ybO/7yt2w2aNAXjps5c2a+vdUWmT5tWo478aQ0a9osF190frYaNjQPPPxY2rdXYlC8//nt3/LwU6/UWTb51XcWOWaVFlW548qj0rpV8/z0qrsy95N5OWLfLfKXXx6dTb/z33l/2ocNOWVY6ckZykX7tq1y8ve2zStvvJ8nnn8tQzfpu8RjKyoqMvbikVm/b5ecf+24vPfBhzl0z8G588qj8s19z83kVxadVcBXI2soB3KmfCja+NIeevDB3PS7G3L2T36aY35wbJJk3/0PyMYbrZeTRx2fe8bf/4VjL//FpXlh0qSMv//BDNhkkyTJt769TTbeaL1ceP7Pc+aPz14m+8DKZcKjkzN23GNLNeZ7ew5Jn26rZ9C+5+aRpz8t6e6c8HQeuemkHLX/ljn9kj80wEyBRM5QXt58d3q6Dx+Vt96bka+vs1YmXH/8Eo/ddfhG+Y+NemWf435Zm1M3/+VfefyW03LqyO1y4EnXNMykAVlD2ZAz5WOF/ujoGWeckY022qixp7HCGvv7MWnSpEkOPuTQ2mXNmzfPgQcdnAf++Y+8+uqrXzz25jHZeMAmtYGUJP36988WWw7LzWNubNB5s3Jr1bI6TZos+aFvl+Eb5eEnX6ot2ZLk+Zfeyt8efD67bfX1hpgiZUTONCw5QzmZM/eTvPXejC81dpfhX8ub707PLX+dWLvs3akzc/Nd/8r2m6+fqmbeG19ZyZmGJ2soF3KmfKzQRRsNa+Jjj6ZP375p3bp1neUDNhmYJHl84mMLHTd//vw8+cTj2XjjAfXWDdhkYF6cPDkzZny5AwgsyuVn7Jd3Jvw8H/zz/NxxxZH5+jprLXL7ioqKrNenc52SbYGHn3opvdbqkFYtqxtqurDSkzOsLDbs3yWPPftqSqVSneUPP/VyVmlRnT7dVm+kmcGKT9awMpAzy9ZyX7TNnz8/5557bnr37p3q6uqstdZaOeuss5IkJ5xwQvr27ZuWLVumZ8+eOfXUUzN37twkyTXXXJPRo0dn4sSJqaioSEVFRa655ppG3JMVz5tvvpGOHdest3zBsjdef32h495///3Mnj07Hddc+rHwZcz95JOMHfdojv3pmOx+9OUZfentWbd3p4y76uhs2O+LLwDark3LNK9uljffnV5v3ZvvfLpszQ5tGmzeLBtyZvklZ1hZdFytTd58d1q95QuWyZryJmeWb7KGlYGcWbaW+/MDR40alSuvvDLnn39+Bg0alDfeeCPPPvtskqSmpibXXHNNOnXqlCeeeCIjRoxITU1Njj/++Oy111558sknc8cdd2TcuHFJkjZtFv7LM3v27MyePbv29vTp9f+opr6PP/441dX1z+Zp3rx57fovGpckVV9iLHwZ/5w4Jf+ceFXt7T/e+0R+P+7RPPS7k3LmETtmp8MvXei4FtXNkiRz5nxSb92sOXPrbEP5kjPLLznDyqJFdbPMXljWzP6kdj3lS84s32QNKwM5s2wt10XbjBkzcuGFF+aSSy7Jd7/73SRJr169Muj/f/PLKaecUrtt9+7dc+yxx+aGG27I8ccfnxYtWqRVq1Zp2rRpOnbsuMjHOeecczJ69OiG25EVVIsWLeoE+gKzZs2qXf9F45JkzpcYC0V58dV3c/u9j2enLTdMZWVF5s8v1dvm49mflmlVVfUPlc2rmtXZhvIkZ5ZvcoaVxcez56Z6YVlT3bR2PeVJziz/ZA0rAzmzbC3XHx195plnMnv27AwbNmyh63/3u99ls802S8eOHdOqVauccsopeeWV+tdSWpxRo0Zl2rRptf8WdcFL/q1jxzXz5ptv1Fu+YNmanTotdFy7du1SXV2dN99Y+rFQpP97c2qqq5pllRYLv87a+9M+yqzZc9Nxtdb11nXs8OmyN96pfwo25UPOLN/kDCuLN9+dlo6r1T9TacEyWVO+5MzyT9awMpAzy9ZyXbQt6h2Af/zjH9l3332z7bbb5vbbb8+jjz6ak08+OXPmzFnqx6murk7r1q3r/GPxNthwo0x6/vl6p6Y/9OADtesXprKyMuuut34eeeTheuseevCB9OjZMzU1NYXPFz6vR5fV8vGsOZn5Uf13IpOkVCrlqRdez8YL+dKETdbrnhdffecLx1Ie5MzyTc6wsnj8uf/LRv27pqKios7yTdbrng8/np1JL7/dSDPjq5Izyz9Zw8pAzixby3XR1qdPn7Ro0SJ//etf6627//77061bt5x88skZMGBA+vTpk5dffrnONlVVVZk3b96ymu5KZ5ddd8+8efNy1S+vqF02e/bsXHft1dlk4Kbp2rVrkuSVV17Jc///OhS1Y3fbPY88/FAeefjfwfT8c8/lnr/dnV1322PZ7AArjdVWbVVv2fp9O2e7oetn3D+frf32na4dV03f7mvU2W7suEczYL3udb6htE+31bP5Jn3z+3GPNuzEaXByZvkmZ1gRdVytdfp2XyNNm/77ZfjYcY+l42qts/OwDWuXtW+7Snbd6mv509+fzJy59a+rQ3mQM8s/WcOKRs40vuX6Gm3NmzfPCSeckOOPPz5VVVXZbLPN8s477+Spp55Knz598sorr+SGG27IJptskj/+8Y8ZO3ZsnfHdu3fPlClT8thjj6VLly6pqalZ6IUu+XIGbrppdt19j5x28qi88/bb6dWrd37z62vz8ksv5RdX/PvC84ccdEDG//3efDz339fA+t7Iw3L1VVdm1522y1E/ODbNmjbLRReel9XXWCNHHfPDxtgdVmC//u+D8vHsufnnxCl55/0ZWbtnx/znbpvlo1lzcupFt9Zu98sfHZAhA/qkxdcOr112+Y3jc9Aum+X3F43Mhdf9NXM/mZcj99syb78/Ixf++u7G2B0KJGeWb3KGcjNyryFpU9Oi9tvbthu6fjqv0TZJctkN92b6zFk584gds/+O30i/bU/LK2+8nyT5/bhHc/jjU3L5Gfulf8+OeW/qhzl0z8FpUlmRH132x8baHQogZ5Z/soZyImfKw3JdtCXJqaeemqZNm+a0007L66+/njXXXDMjR47MwQcfnGOOOSaHH354Zs+ene222y6nnnpqzjjjjNqxu+22W37/+99niy22yAcffJCrr746Bx54YKPty4roqquvy+i1Ts3/Xv/rTJ06Neutv0F+f+vtGTR4yCLH1dTU5M5x9+T4Y4/JT87+cebPn58hQzfPuT87Px06dFhGs2dl8Yd7Hs93ttkkR+63ZVqv0jzvfjAzt/51Ys664k958dV3Fzl25kez860RF+bcY3fNCYd8O5WVFfn7w5Ny/M9vzrtTZy6jPaAhyZnlm5yhnBx9wLB069S+9vbOwzbKzsM2SpL87x8fyvSZsxY6bv78UnY+/NKcfcwuOew7m6dF82Z55KlXcujpv/FxnhWAnFn+yRrKhZwpDxWlBZ+Zotb06dPTpk2bvPXeNNc3YLm36iaHL34jaESleXMy+4krM22aY+oCcoZyImcoB7KmLjlDOZEzlIOlyZnl+hptAAAAAFAuFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULQBAAAAQAEUbQAAAABQAEUbAAAAABRA0QYAAAAABVC0AQAAAEABFG0AAAAAUABFGwAAAAAUQNEGAAAAAAVQtAEAAABAARRtAAAAAFCApo09geVRqVRKksyYPr2RZwKLV5o3p7GnAIu04Hd0wbEVOUN5kTOUA1lTl5yhnMgZysHS5IyibSFmzJiRJOndo2sjzwRgxTFjxoy0adOmsaexXJAzAA1D1nxKzgA0jCXJmYqSt33qmT9/fl5//fXU1NSkoqKisaezQpg+fXq6du2aV199Na1bt27s6cAX8rtavFKplBkzZqRTp06prHTFgkTONAT/71Iu/K42DFlTl5xpGP7/pVz4XS3e0uSMM9oWorKyMl26dGnsaayQWrdu7X90yoLf1WI5u6AuOdNw/L9LufC7WjxZ829ypmH5/5dy4Xe1WEuaM97uAQAAAIACKNoAAAAAoACKNpaJ6urqnH766amurm7sqcAi+V2F8uT/XcqF31UoX/7/pVz4XW1cvgwBAAAAAArgjDYAAAAAKICiDQAAAAAKoGgDAAAAgAIo2ijc5ptvnqOPPrqxpwHACkrOANCQ5AzwVSjaAJbQGWeckY022qixpwHACkrOANCQ5MyyoWgDAAAAgAIo2vhKPvzwwxxwwAFp1apV1lxzzfz85z+vs37q1Kk54IADsuqqq6Zly5bZZpttMmnSpDrbXHnllenatWtatmyZXXbZJeedd17atm27DPeClcn8+fNz7rnnpnfv3qmurs5aa62Vs846K0lywgknpG/fvmnZsmV69uyZU089NXPnzk2SXHPNNRk9enQmTpyYioqKVFRU5JprrmnEPYGVg5yh3MgZKC9yhnIjZ5Z/TRt7ApS34447Lvfee29uvfXWrL766jnppJPyr3/9q/Z01AMPPDCTJk3KbbfdltatW+eEE07Itttum6effjrNmjXLhAkTMnLkyPzkJz/JjjvumHHjxuXUU09t3J1ihTZq1KhceeWVOf/88zNo0KC88cYbefbZZ5MkNTU1ueaaa9KpU6c88cQTGTFiRGpqanL88cdnr732ypNPPpk77rgj48aNS5K0adOmMXcFVgpyhnIjZ6C8yBnKjZwpAyX4kmbMmFGqqqoq3XjjjbXL3nvvvVKLFi1KRx11VOn5558vJSlNmDChdv27775batGiRe2Yvfbaq7TddtvVud9999231KZNm2WyD6xcpk+fXqquri5deeWVS7T9T3/609LGG29ce/v0008vbbjhhg00O+Dz5AzlRs5AeZEzlBs5Ux58dJQvbfLkyZkzZ0423XTT2mXt2rVLv379kiTPPPNMmjZtWmd9+/bt069fvzzzzDNJkueeey4DBw6sc7+fvw1FeeaZZzJ79uwMGzZsoet/97vfZbPNNkvHjh3TqlWrnHLKKXnllVeW8SyBBeQM5UbOQHmRM5QbOVMeFG3ASqNFixZfuO4f//hH9t1332y77ba5/fbb8+ijj+bkk0/OnDlzluEMAShncgaAhiRnyoOijS+tV69eadasWR544IHaZVOnTs3zzz+fJFl77bXzySef1Fn/3nvv5bnnnss666yTJOnXr18eeuihOvf7+dtQlD59+qRFixb561//Wm/d/fffn27duuXkk0/OgAED0qdPn7z88st1tqmqqsq8efOW1XRhpSdnKDdyBsqLnKHcyJny4MsQ+NJatWqVgw8+OMcdd1zat2+f1VdfPSeffHIqKz/tb/v06ZOddtopI0aMyOWXX56ampqceOKJ6dy5c3baaackyRFHHJEhQ4bkvPPOyw477JC77747f/7zn1NRUdGYu8YKqnnz5jnhhBNy/PHHp6qqKptttlneeeedPPXUU+nTp09eeeWV3HDDDdlkk03yxz/+MWPHjq0zvnv37pkyZUoee+yxdOnSJTU1Namurm6kvYEVn5yh3MgZKC9yhnIjZ8pEY18kjvI2Y8aM0n777Vdq2bJlaY011iide+65paFDh5aOOuqoUqlUKr3//vul/fffv9SmTZtSixYtSt/61rdKzz//fJ37uOKKK0qdO3cutWjRorTzzjuXfvzjH5c6duzYCHvDymDevHmlH//4x6Vu3bqVmjVrVlprrbVKZ599dqlUKpWOO+64Uvv27UutWrUq7bXXXqXzzz+/zoVsZ82aVdptt91Kbdu2LSUpXX311Y2zE7ASkTOUGzkD5UXOUG7kzPKvolQqlRq564M6RowYkWeffTbjx49v7KkAsAKSMwA0JDkDKzcfHaXR/exnP8tWW22VVVZZJX/+859z7bXX5tJLL23saQGwgpAzADQkOQN8ljPaaHR77rln7rnnnsyYMSM9e/bMEUcckZEjRzb2tABYQcgZABqSnAE+S9EGAAAAAAWobOwJAAAAAMCKQNEGAAAAAAVQtAEAAABAARRtAAAAAFAARRsAAAAAFEDRBgAAAAAFULTBcuqaa65JRUVF7b/mzZunb9++Ofzww/PWW28lSe65554621RXV2eNNdbI5ptvnrPPPjvvvPNOI+8FAMsrOQNAQ5IzrKyaNvYEgEU788wz06NHj8yaNSv33XdfLrvssvzpT3/Kk08+WbvNkUcemU022STz5s3LO++8k/vvvz+nn356zjvvvNx4443ZcsstG3EPAFieyRkAGpKcYWWjaIPl3DbbbJMBAwYkSQ455JC0b98+5513Xm699dasueaaSZLBgwdn9913rzNu4sSJ2XrrrbPbbrvl6aefrt0WAD5LzgDQkOQMKxsfHYUys+DdnClTpixyuw033DAXXHBBPvjgg1xyySXLYmoArADkDAANSc6wolO0QZmZPHlykqR9+/aL3Xb33XdPixYtctdddzX0tABYQcgZABqSnGFF56OjsJybNm1a3n333cyaNSsTJkzImWeemRYtWmT77bfPpEmTFjm2WbNm6du3b22YAcDnyRkAGpKcYWWjaIPl3PDhw+vc7tatW66//vp07tx5scGUJK1atcqMGTMaanoAlDk5A0BDkjOsbBRtsJz7n//5n/Tt2zdNmzbNGmuskX79+qWycsk/9T1z5szU1NQ04AwBKGdyBoCGJGdY2SjaYDk3cODA2m/pWVpz587N888/n/XWW6/gWQGwopAzADQkOcPKxpchwApszJgx+fjjj/Otb32rsacCwApIzgDQkOQM5UjRBiuoiRMn5uijj86qq66a73//+409HQBWMHIGgIYkZyhXPjoKK4Dx48dn1qxZmTdvXt57771MmDAht912W9q0aZOxY8emY8eOjT1FAMqYnAGgIckZViSKNlgBXHTRRUk+/frrtm3bZu21187o0aMzYsSIdOjQoZFnB0C5kzMANCQ5w4qkolQqlRp7EgAAAABQ7lyjDQAAAAAKoGgDAAAAgAIo2gAAAACgAIo2AAAAACiAog0AAAAACqBoAwAAAIACKNoAAAAAoACKNgAAAAAogKINAAAAAAqgaAMAAACAAijaAAAAAKAAijYAAAAAKMD/A6Jxy/WN1pM5AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<cosmodules.classification.output_analysis.ClassificationAnalysis at 0x7f703ef15e80>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ClassificationAnalysis(\n",
    "    ant_path = f\"{ROOT}/example/classification/prediction/multi_label.json\",\n",
    "    save_folder = f\"{ROOT}/example/classification/output/metrics/multi_label\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Single Label Background (binary, multi-class)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgQAAAGRCAYAAAAaQav7AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAABO00lEQVR4nO3deViU5eI+8PudFYZFVBIUUcxMLXdcInPL3Y7VT4+VWqKlZYpHo00tF9q0Tc1zLE+er5mVRyuXOic3QslIUlPppLmUeya4Isg6M+/z+wNmZJwZmIEX5x24P9fllbzbPDwNzs2zSkIIASIiIqrVNL4uABEREfkeAwERERExEBAREREDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwERDXWF198gd69e6Nu3boICgpC+/bt8dZbb8FsNiv+WnPnzoUkSZg7d67izyaim4OBgKgGmjZtGh566CH88MMP6Nq1KwYNGoTTp0/jxRdfxL333ouCggJfF5GIVIaBgKiG2bBhA9577z0EBwdj165d2LJlC9auXYvffvsNbdu2RVpaGmbNmuXrYhKRyjAQENUwb7zxBgBg+vTp6NSpk/14eHg43n//fQDAP/7xD1y9etUn5SMidWIgIKpBzp49iz179gAARo0a5XT+nnvuQXR0NIqKirBx40avnl1QUIC5c+eiRYsWMBqNaNiwIeLj43H69OkK7129ejX69u2LevXqwWg0omnTpnj88cdx9OhRt/ecOnUKY8eORWRkJAICAtCiRQvMmTMHhYWF6N27NyRJQmpqqlffAxG5x0BAVIPs378fAFCvXj00a9bM5TWdO3d2uNYT+fn5uPfee5GUlIRz585hwIAB6NGjB7Zs2YJOnTrhxIkTLu8TQiA+Ph4jR47Ejh070LFjRwwbNgwBAQH46KOP0LFjR2zevNnpvl9//RWdO3fGxx9/DK1WiwceeAAtW7bEu+++i/79+1fLwEii2k7n6wIQkXJsH8xNmjRxe010dLTDtZ6YM2cOfvzxR7Rq1QopKSlo1KgRgJKgMGrUKKxcudLlff/85z+xcuVKhIeHIzk5GR06dABQEhSSkpKQlJSEkSNH4ujRo7jlllvs9z322GO4ePEiHnnkEaxYsQJGoxFASQtI3759ceTIEY/LTkSeYQsBUQ2Sm5sLAAgKCnJ7TXBwMAAgJyfHo2cWFBTgn//8JwBg4cKF9jAAACaTCUuXLkVAQIDLe9955x0AwOzZs+1hAAAkScKcOXPQrl07ZGdnY9myZfZz33//Pfbt24fg4GAsWbLEHgYAICoqCu+++65H5SYi7zAQEFG59u3bh9zcXISHh2PQoEFO5yMjIzFgwACn43/88QeOHTsGAIiPj3c6L0kSxo0bBwDYvn27/fh3330HABg0aBDq1avndN99992HsLCwSn0vROQeuwyIapCQkBAAQF5enttrrl27BgAIDQ0FAPzrX/9CWlqa03XTp09Hq1at8McffwAAYmJi3D7T1XiFs2fPAgDq169vf60bNW/e3OFaAB69XtOmTZGdne32PBF5j4GAqAaxfYieOXPG7TW2c7Zr09LS8PHHHztdN3bsWLRq1UrxMnpKkqRKnSOiymGXAVEN0rFjRwDApUuX3A4a/OmnnwDAvkbBihUrIIRw+tO7d28AJf32AHDy5Em3r+vqnO2+S5cuuR2vcPz4cYdrPX29U6dOuT1HRJXDQEBUgzRu3BhdunQBAKxatcrpfFpaGs6cOQOj0YghQ4Z49MzY2FgEBwfj4sWL2Lp1q9P5rKwsl8cbN25s7xJYsWKF03khhP14nz597Md79uwJANi8eTOuXLnidN+mTZtcHieiqmEgIKphZs6cCQCYP38+9u3bZz9+6dIlTJo0CQCQkJCAOnXqePS8wMBAPPnkkwCAZ555BufOnbOfKygowNNPP+12b4TnnnsOAPDqq6/i559/th8XQuC1115DRkYGwsLCMGHCBPu5nj17on379sjNzcWUKVNQXFxsP/fnn3/i2Wef9ajcROQdSQghfF0IIlLW1KlTsXjxYuj1evTt2xdBQUFISUlBdnY2unfvjuTkZAQGBnr8vLy8PNx7773YvXs3goOD0adPHwQEBOD777+H2WzGfffdh5UrV2LOnDkOOx7aFib65JNPoNPp0KtXLzRo0AD79u3DkSNHEBgYiLVr12Lw4MEOr3fgwAH06tULly9fRlRUFLp37478/Hxs374dHTp0gCzLSE9Pxw8//IC7775bqWojqtXYQkBUA7333ntYs2YN4uLisHPnTmzcuBGNGzfG/PnzsW3bNq/CAFCyrsH27dsxa9YsREREYMuWLdixYwf69u2Ln376ye2qiJIkYeXKlVi1ahXuuece7N27F19++SXy8/MxduxY7N+/3ykMAECbNm2wd+9ePPbYYzCbzdiwYQMOHTqEqVOnIjk5GVlZWQBK9mcgImWwhYCI/MqJEydw2223ISQkBJcvX4ZGw99riJTAnyQiUp28vDwcPHjQ6fipU6cwevRoyLKM+Ph4hgEiBbGFgIhU5+TJk2jWrBmaN2+O22+/HaGhoTh9+jT27duHoqIitG/fHjt27HC74BEReY+BgIhU59q1a0hKSsK2bdtw+vRpZGdnw2QyoWXLlhg+fDimTJkCk8nk62IS1SgMBERERMQxBERERMRAQERERPCTzY1kWcaff/6JkJAQbmpCRETkBSEEcnNz0ahRo3Jn5vhFIPjzzz8RHR3t62IQERH5rTNnzqBx48Zuz/tFILDt8X7mzBnFphmZzWZs3boVAwYMgF6vV+SZtRnrU3msU2WxPpXHOlVeddRpTk4OoqOj7Z+l7vhFILB1E4SGhioaCEwmE0JDQ/lGVgDrU3msU2WxPpXHOlVeddZpRV3uHFRIREREDARERETEQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERIRKBIIdO3Zg6NChaNSoESRJwoYNGyq8JzU1FZ06dYLRaMRtt92GFStWVKKoREREVF28DgR5eXlo3749lixZ4tH1J06cwH333Yc+ffogIyMD06ZNw/jx47FlyxavC0tERETVw+uVCgcPHozBgwd7fP3SpUvRrFkzvPvuuwCA1q1bIy0tDQsXLsTAgQO9fXlF/HH+JP77w4fIysrCuf/ugkaj3IZJ9et1R1Ddjoo9z19YLFb8fEmC9mAWdDqtr4tTI7BOlcX6VJ4/1ektIUZ0alKXG+SVo9qXLk5PT0e/fv0cjg0cOBDTpk1ze09RURGKiorsX+fk5AAoWdLRbDZXuUy//v4jluT8BwgEkFPlxzmoc2kDzh19DVYYlH2wX9Bi+dGffV2IGoZ1qizWp/L8p04/fbwzujWr5+tilMv2GafEZ92Nz6xItQeCzMxMREREOByLiIhATk4OCgoKEBgY6HTPvHnzkJSU5HR869atMJlMVS7TuezTuL1Q+ZT4m1HGVa0GLUMvokA0VPz5RETkvcx8oMAqYdOOXbh0SPi6OB5JTk5W7Fn5+fkeXafKzY1mzJiBxMRE+9e2nZoGDBig0OZGQzDGnIDk5GT0799fsQ0k7v2kA7K1Et555Da0iL5HkWf6C7PZrHh91nasU2WxPpXnL3U6/pN9+O7oRbRp2w5DOkX5ujjlqo46tbWyV6TaA0FkZCSysrIcjmVlZSE0NNRl6wAAGI1GGI1Gp+N6vV7xN52SzwwTAtkA8oovq/qHozpVx/+j2o51qizWp/LUXqd6ben4Bkmj6nKWpWSdevqcal+HIC4uDikpKQ7HkpOTERcXV90vfdOFiZLqzM6/4OOSEBGRja504LhF9o/uAl/xOhBcu3YNGRkZyMjIAFAyrTAjIwOnT58GUNLcP2bMGPv1EydOxPHjx/HCCy/g8OHDeP/99/H555/jmWeeUeY7UJEwqaTB5UrBJR+XhIiIbLTakkBgtco+Lom6eR0IfvrpJ3Ts2BEdO5ZMrUtMTETHjh0xe/ZsAMC5c+fs4QAAmjVrhm+++QbJyclo37493n33XfzrX//y2ZTD6mQLBFeLsn1bECIismMLgWe8HkPQu3dvCOG+Ul2tQti7d2/s37/f25fyO2EaI4AiZDMQEBGphrY0EFgZCMrFvQwUVEcbAADILs71cUmIiMhGK7GFwBMMBAqqqytZIyHbfM3HJSEiIhudli0EnmAgUFCYPggAkG3J83FJiIjIhl0GnmEgUFAdfQgAINtS6OOSEBGRjU5T8lHHQFA+BgIF1TXWAQBky0UVXElERDeLlrMMPMJAoKA6xjAAQK4wwypbfVsYIiICcH3aoVXmOgTlYSBQUJ3Akl20BICcYoW3USQiokphC4FnGAgUpDeEIKR0JawrRVd8XBoiIgLKthAwEJSHgUBJhiDUKe0quFp01ceFISIiANCwhcAjDARKMgQjrLSPKrsw27dlISIiANdbCGQGgnIxECjJYEJYaZcBly8mIlIHbem0Q7YQlI+BQEmGoOstBAwERESqwDEEnmEgUJI+CGHWkjEEDAREROrAWQaeYSBQElsIiIhU5/peBlyHoDwMBEoyBF0fQ1Bw2ceFISIioEwLgZUtBOVhIFCSIQh17LMMGAiIiNTAtv0xxxCUj4FASVo96oqSKs3mwkRERKrAMQSeYSBQWJjGAADILuLSxUREamAbQyALBoLyMBAorI7OBAC4as6F4JuPiMjn7OsQcAxBuRgIFBZWGgisQkauOdfHpSEiIq5D4BkGAoUFGIIQWDqw8Goh9zMgIvK162MIOO2wPAwESjMEX59pwLUIiIh8ji0EnmEgUJrehLrcz4CISDU4y8AzDARKK7MFMgMBEZHvadlC4BEGAqVxx0MiIlVhIPAMA4HSDMHcz4CISEV0pdMOGQjKx0CgtLL7GRRm+7YsRETEMQQeYiBQmt6EMI4hICJSDc4y8AwDgdIMwfYWgqtFXIeAiMjXuA6BZxgIlGYw2ccQXOEGR0REPmfby4AtBOVjIFBa2TEE7DIgIvI5HccQeISBQGmGYPsYgqtFV7nBERGRj2kkthB4goFAafrr6xAUWYtQYCnwcYGIiGo3Tjv0DAOB0gxBMAkBXWnLAAcWEhH5llbLLgNPMBAozRAECUDd0jcexxEQEfkWpx16hoFAaYYgAEAda8k4As40ICLyrbJLF3Ncl3sMBEorDQRh1usDC4mIyHdsLQQAWwnKw0CgNH1JIKjL/QyIiFRBWyYQcByBewwEStMZAI3e3mXA/QyIiHxLyxYCjzAQVIcyqxWyhYCIyLccAgHHELjFQFAdyuxnwEBARORbtnUIAMBqZSBwh4GgOuivtxBwUCERkW+VaSDgGIJyMBBUB0OQfZYBpx0SEfmWJElci8ADDATVwRDMFgIiIhXhFsgVYyCoDgYTxxAQEakIWwgqVqlAsGTJEsTExCAgIADdunXD7t27y71+0aJFaNmyJQIDAxEdHY1nnnkGhYWFlSqwXzAE2VsI8sx5MFvNPi4QEVHtpuUWyBXyOhCsWbMGiYmJmDNnDvbt24f27dtj4MCBOH/+vMvrV61ahenTp2POnDk4dOgQ/u///g9r1qzBzJkzq1x41dIHIUSWoUHJG5CtBEREvmULBDIDgVs6b29YsGABJkyYgHHjxgEAli5dim+++QbLly/H9OnTna7fuXMnunfvjlGjRgEAYmJiMHLkSOzatauKRVcxQxA0AOpo9LgiF2Prqa2IMEX4ulTVymK14GDxQRjPGKHTev22IhdYp8pifSrPYrXgkvWSr4vhEW3p1EO2ELjn1U9FcXEx9u7dixkzZtiPaTQa9OvXD+np6S7vufvuu/Hpp59i9+7d6Nq1K44fP46NGzfisccec/s6RUVFKCoqsn+dk5MDADCbzTCblWl+tz1HqeeVpdEFQgugrqTHFRRj/u75ir+GWv37+3/7ugg1DutUWaxPZRlhxIMFDyIEIb4uSrm0pe3hRcXKfY5Uh+r4bPL0WV4FgosXL8JqtSIiwvG33YiICBw+fNjlPaNGjcLFixdxzz33QAgBi8WCiRMnlttlMG/ePCQlJTkd37p1K0wmkzdFrlBycrKizwOA2zP/QGsAf801YU1IOASYSImo5jljPYMiFOHrb79GXW1dXxenXOYiLQAJO75Pwyl1ZxcAyn425efne3Rdtbebpaam4o033sD777+Pbt264ffff8fUqVPx6quvYtasWS7vmTFjBhITE+1f5+TkIDo6GgMGDEBoaKgi5TKbzUhOTkb//v2h1+sVeaaNZvcZ4NyXGF2/CR75f8sUfbZaVWd91lasU2WxPpXXd21fXCm6gk5xndA6vLWvi1Oud498j8tFBegWdzc6NQnzdXHcqo73qa2VvSJeBYLw8HBotVpkZWU5HM/KykJkZKTLe2bNmoXHHnsM48ePBwC0bdsWeXl5ePLJJ/HSSy9Bo3Ee12g0GmE0Gp2O6/V6xX+Qq+OZCCiJnxpLATS17B+eaqnPWo51qizWp3JMOhOuFF1BsShWfZ3qbH0Gkkb1ZQWUfZ96+hyvZhkYDAbExsYiJSXFfkyWZaSkpCAuLs7lPfn5+U4f+lqtFgAgauomE4aSLZBRnOfbchARVSOTvqQLN9/iWZO0L3Edgop53WWQmJiI+Ph4dO7cGV27dsWiRYuQl5dnn3UwZswYREVFYd68eQCAoUOHYsGCBejYsaO9y2DWrFkYOnSoPRjUOIbgkv8yEBBRDRakL/nlJ9+s/kCgkUoDQU39RVQBXgeChx9+GBcuXMDs2bORmZmJDh06YPPmzfaBhqdPn3ZoEXj55ZchSRJefvllnD17FrfccguGDh2K119/XbnvQm0MpQMfGQiIqAYz6Ur+rcuzqP/fOp2WCxNVpFKDChMSEpCQkODyXGpqquML6HSYM2cO5syZU5mX8k+2LgM/SM1ERJXlTy0EtnUIuP2xe9zLoDrobWMIrvm2HERE1civWgi4dHGFGAiqAwcVElEtYB9U6BctBBxUWBEGgupgCwTWYoAbGxFRDRWkK/m3Ls+s/l9+dNz+uEIMBNXBFggAthIQUY1layEosBT4uCQVYwtBxRgIqoPWAGhKx2v6QVMaEVFlcAxBzcJAUB0kqczAQvX/oBARVYY/jiHg9sfuMRBUFwNnGhBRzeZPYwi0bCGoEANBdbEvTqT+5ExEVBn+tXRx6ToEDARuMRBUF049JKIaji0ENQsDQXWx7WfgBz8oRESV4V8tBLZZBpx26A4DQXXRcz8DIqrZyi5drPbda9lCUDEGgurCLgMiquFs0w4twgKzrO5F2GybG3EvA/cYCKoLAwER1XCBukD739U+joDbH1eMgaC6MBAQUQ2n0+ighx6A+gOBjisVVoiBoLpwC2QiqgUMkgGA+gOBbftjjiFwj4GgunALZCKqBYySEYD6ZxrYxxAwELjFQFBd2GVARLWALRCov4WgdJYBBxW6xUBQXbhSIRHVAgb4R5cB1yGoGANBdbEtTMQuAyKqwexdBiofL8V1CCrGQFBdbAsTqfyHhIioKmyDClU/hsC22yGnHbrFQFBdOIaAiGoBfxlDoOEYggoxEFQXe5eBun9IiIiqwl8CAdchqBgDQXUxcC8DIqr5/GVQIdchqBgDQXVhlwER1QL+MqiQLQQVYyCoLraFiaxFgNXi27IQEVUTf+kyuD7LgNMO3WEgqC62FgIAUPkPChFRZdmXLrao+985thBUjIGguuiMgKQt+Tu7DYiohvKXLgOuQ1AxBoLqIkllxhGo+weFiKiyjPCPQMC9DCrGQFCdDNzgiIhqNn/pMtBIDAQV0fm6ADWabbXCZX0ASD4tSnXTARgqBKSMmv193kysU2WxPpWnAxAXeiuW1lP/oEIdpx1WiIGgOsXcA1w+BoiaP6pVKv0D/qwphnWqLNan8iQAUdeOA/WikG/OhxACkqTOwKXloMIKMRBUp6HvAfe+XCsCgdlsRsq2beh7773Q6/W+Lk6NwDpVFutTeeLvsQgqbRmwCiuKrEUI0AX4uFSu6TiosEIMBNVJkoDgBr4uxc1hNqNIHwaERAL8x1YZrFNlsT6VZwiGqcwYqTxznmoDgVbL7Y8rwkGFRERUOQYTNAACNaU7Hqp4poGOmxtViIGAiIgqp3RF1iBt6WqFKp5poOX2xxViICAiokoRpVOrTZqSLhg1zzTQShxDUBEGAiIiqpzSFgKTVDIcTdVdBlyYqEIMBEREVDmlLQRBpYFA3V0GpesQcAyBWwwERERUOYaSxddMpR8lqm4h4DoEFWIgICKiShG2QYWlK7GqegwB1yGoEAMBERFVjq2FoPQzVs2B4HoLAdchcIeBgIiIKsfWQlD6W7eauwzYQlAxBgIiIqoc26DC0t+61d1CUPJxJzMQuMVAQERElSJKd3Q1yVYA6p5lUJoH2EJQDgYCIiKqHNvCRFYzAHV3GdhaCDjLwL1KBYIlS5YgJiYGAQEB6NatG3bv3l3u9dnZ2Zg8eTIaNmwIo9GI22+/HRs3bqxUgYmISCVKWwiCLOoPBGXHEAguX+yS17sdrlmzBomJiVi6dCm6deuGRYsWYeDAgThy5AgaNHDe2a+4uBj9+/dHgwYN8OWXXyIqKgqnTp1CWFiYEuUnIiJfMQQDAIIsRYBe7WMIJPvfZQFopXIurqW8DgQLFizAhAkTMG7cOADA0qVL8c0332D58uWYPn260/XLly/H5cuXsXPnTvse5DExMVUrNRER+Z5tUKG5GAhU9xgCbZkEYJFlaDVaH5ZGnbwKBMXFxdi7dy9mzJhhP6bRaNCvXz+kp6e7vOfrr79GXFwcJk+ejK+++gq33HILRo0ahRdffBFarev/IUVFRSgqKrJ/nZOTAwAwm80wm83eFNkt23OUel5tx/pUHutUWaxP5VkkA3QAgorzAZiQV5yn2voVVov974VFxdAIr38fvimq433q6bO8qpGLFy/CarUiIiLC4XhERAQOHz7s8p7jx49j27ZtGD16NDZu3Ijff/8dkyZNgtlsxpw5c1zeM2/ePCQlJTkd37p1K0wmkzdFrlBycrKiz6vtWJ/KY50qi/WpnMCiCxgAILDwGgATrhZcVe34MIsM2D7yNm/eigB15gE7Jd+n+fmeje2o9iqRZRkNGjTAhx9+CK1Wi9jYWJw9exZvv/2220AwY8YMJCYm2r/OyclBdHQ0BgwYgNDQUEXKZTabkZycjP79+9u7MqjyWJ/KY50qi/WpPPPVc8CvQIhcXPK1ZMbgwYMhSerroLdYZTy761sAwL39+iPMpM73QHW8T22t7BXxKhCEh4dDq9UiKyvL4XhWVhYiIyNd3tOwYUPo9XqH7oHWrVsjMzMTxcXFMBgMTvcYjUYYjUan43q9XvEf5Op4Zm3G+lQe61RZrE8FmcIAXF+pUBYyLJIFJr2yLblK0OmuzyyQtFrVvweUfJ96+hyvph0aDAbExsYiJSXFfkyWZaSkpCAuLs7lPd27d8fvv/8Oucz60UePHkXDhg1dhgEiIvITugAISAgoM40v36LOqYeSJNmnHnItAte8XocgMTERy5Ytw8cff4xDhw7h6aefRl5enn3WwZgxYxwGHT799NO4fPkypk6diqNHj+Kbb77BG2+8gcmTJyv3XRAR0c0nSbBojNAAMGkDAPjPWgTkzOsxBA8//DAuXLiA2bNnIzMzEx06dMDmzZvtAw1Pnz4NjeZ6zoiOjsaWLVvwzDPPoF27doiKisLUqVPx4osvKvddEBGRT1g1AdDLhQjSBSDfWqj6tQiKAVitDASuVGpQYUJCAhISElyeS01NdToWFxeHH3/8sTIvRUREKmbRGgELEKQx4gLUvTjR9RYCboHsCvcyICKiSrNoSgaAmzQlA9fUOoYAuL5aocyli11iICAiokqzakrGDgSVBgJ1txCUfORxDIFrDARERFRpthaCIKlkarm6A0HJfy0cQ+ASAwEREVWatXR2gQnqDwTcArl8DARERFRpFk3JejK2pYjUPIaA0w7Lx0BARESVZh9DUPoZq+Z1CHRcmKhcDARERFRplhsCgZq7DDjtsHwMBEREVGn2aYdWKwD/CARsIXCNgYCIiCrNqi2dZSCXBAJVdxloGQjKw0BARESVZp92aLEAAPIsKm4hkBgIysNAQERElWYfVGgtBuAfXQacZeAaAwEREVWafQyBpSQQqLrLgOsQlIuBgIiIKs1q6zIwFwJQdyBgC0H5GAiIiKjSLLaVCosLAKh7DMH1QYWcdugKAwEREVWafVBhcUnLQL45H0KluwnaWwi4l4FLDARERFRptkGFpqKSlgEBgQJLgS+L5Ba3Py4fAwEREVWarYUg0FwAjVTykaLWmQYcQ1A+BgIiIqo028JEEgCTLhCA+gMBZxm4xkBARESVZpUMECj5oDVpSwOBSgcWakunHXIMgWs6XxeAiIj8mCQBBhNQnIcgXcl4grQ/0nDu2jkfF8xReGA4SicZsIXADQYCIiKqGn0QUJyHkNIpiP/I+IePC+RaF+NMAKEcQ+AGAwEREVWNIQjIA56IHoiVAXUgC3XN8z+WfQw5xTkowkUAoVyHwA0GAiIiqhp9EADg3jq34d7YiT4ujLNp26ch5XQKhGQGAFiZB1zioEIiIqoSYSgJBChW57LFBq0BACChZEdGthC4xkBARERVYzCV/LdYnbMLjKVTI2WpJBBwDIFrDARERFQ1pV0GUOn6AwZNSQuBgK3LgIHAFQYCIiKqGpW3ENi6DGxjCNhC4BoDARERVYmwtRCoNBDYugyEfQwBA4ErDARERFQ1BnUHAnsLAWwtBBxU6AoDARERVY3eP7oMZI4hKBcDARERVY2thcCszmmH9lkG7DIoFwMBERFVjcpbCK4HAg4qLA8DARERVYlQ+RgCvUYPALAKdhmUh4GAiIiqxhBc8l+VBoLrLQTFANhC4A4DARERVY2/dBmI0jEEVgYCVxgIiIioagwqX6mwdJaBlS0E5WIgICKiKhEqbyGwBQKLfQwB1yFwhYGAiIiqRuW7Hdq6DKyiuPS/viyNejEQEBFR1ZTtMlDhb9/2LgPB7Y/Lw0BARERVY+syAFS5OJGthcAil44hYBOBSwwERERUNfpAAFLJ31UYCGzbH1tsXQYcVOgSAwEREVWNpCkz9fCab8viwo2DCjnLwDUGAiIiqjoVDyy8vg6BFYCVLQRuMBAQEVHVqXj5YlsLAQBAsrKFwA0GAiIiqjp7IFBvlwEAQGOGzEDgUqUCwZIlSxATE4OAgAB069YNu3fv9ui+1atXQ5IkPPjgg5V5WSIiUisVb4Gs0+iglbQAAEmywsJphy55HQjWrFmDxMREzJkzB/v27UP79u0xcOBAnD9/vtz7Tp48ieeeew49evSodGGJiEil/GS1QkhmjiFww+tAsGDBAkyYMAHjxo3DHXfcgaVLl8JkMmH58uVu77FarRg9ejSSkpJw6623VqnARESkQioeQwBcDwSSZOEYAjd03lxcXFyMvXv3YsaMGfZjGo0G/fr1Q3p6utv7XnnlFTRo0ABPPPEEvv/++wpfp6ioCEVFRfavc3JyAABmsxlms9mbIrtle45Sz6vtWJ/KY50qi/WpvLJ1qtWboAFgLcyBrMI6tq1FAI0FFqus2vdBdbxPPX2WV4Hg4sWLsFqtiIiIcDgeERGBw4cPu7wnLS0N//d//4eMjAyPX2fevHlISkpyOr5161aYTCYXd1RecnKyos+r7VifymOdKov1qbzk5GS0O3cRzQD8dvBnHLm80ddFcmIpKlm2GJIF+QWF2LhRfWUsS8n3aX6+Z+M6vAoE3srNzcVjjz2GZcuWITw83OP7ZsyYgcTERPvXOTk5iI6OxoABAxAaGqpI2cxmM5KTk9G/f3/o9XpFnlmbsT6VxzpVFutTeWXr1LhjF3BxG1rENELzvkN8XTQny79ZjitXr0CSLNDqDRgypI+vi+RSdbxPba3sFfEqEISHh0Or1SIrK8vheFZWFiIjI52uP3bsGE6ePImhQ4faj8mlozt1Oh2OHDmC5s2bO91nNBphNBqdjuv1esV/kKvjmbUZ61N5rFNlsT6Vp9froTWGAAC0lgJoVVi/tsWJIFlgtQrVvweUfJ96+hyvBhUaDAbExsYiJSXFfkyWZaSkpCAuLs7p+latWuGXX35BRkaG/c/999+PPn36ICMjA9HR0d68PBERqZWKVyoEHAcVckyha153GSQmJiI+Ph6dO3dG165dsWjRIuTl5WHcuHEAgDFjxiAqKgrz5s1DQEAA2rRp43B/WFgYADgdJyIiP6bihYmAMi0EGgvXIXDD60Dw8MMP48KFC5g9ezYyMzPRoUMHbN682T7Q8PTp09BouAAiEVGtouKFiQCuQ+CJSg0qTEhIQEJCgstzqamp5d67YsWKyrwkERGpmdrXIdBwHYKK8Fd5IiKqOpWvVFh2UKEQ4H4GLjAQEBFR1RmCS/6r0kBgH1SoKVmPgK0EzhgIiIio6tTeZWAfQ1ASCDiOwBkDARERVZ2htMtApYMKy3YZAIBVMBDciIGAiIiqrmyXgQqn9ZVdhwAArFYGghsxEBARUdXZBhVCAJYCnxbFlbLrEADgWgQuMBAQEVHV6ctsPKfC1QqvtxCU7PzHMQTOGAiIiKjqNBpAr97VCm3rEGg0VgCcZeAKAwERESlDxQMLbV0GtmmHbCFwxkBARETKUPHUQ1uXgYbrELhVqaWLiYiInNi6DFJeAYIb+LYsNzBoS4LA9XUIOKjwRgwERESkjNBGwPmDwMnvfV0SJ0ZTIBBxC6TSMQRW5gEnDARERKSMoe8BRzYCstXXJXG0/xMYcn4HcH2WAacdOmMgICIiZdSJArpO8HUpnP25D8arv5X8nUsXu8VBhUREVLPpTTDYliqWOKjQHQYCIiKq2QxBToGALQTOGAiIiKhmMwTDWPr5L2wtBNzLwAkDARER1WwGE4z2FgIuXewOAwEREdVshiDoSwOBALc/doeBgIiIajZ9UJkWAisAmQsTucBAQERENZuhTCAAAMnCMQQuMBAQEVHNVqbLAAAgWTiGwAUGAiIiqtkMQdAB0Nh6DTQWrkPgAgMBERHVbIYgSACMuL4WAVsInDEQEBFRzaY3AYB9cSJJYguBKzVuLwOr1Qqz2VzhdWazGTqdDoWFhbBaVbYRhx9SY33q9XpotVpfF4OIfM0QXPIfWZT8GiyZITMQOKkxgUAIgczMTFy9ehXCg/mlQghERkbizJkzkCTpJpSwZlNjfUqShDp16iAyMlI1ZSIiHzA4thBAsrKFwIUaEwiuXr2K7Oxs3HLLLQgKCqrwA0CWZVy7dg3BwcHQaNhzUlVqq08hBPLy8nDhwgUEBgYiLCzM10UiIl8p7TKwTT2UNGauQ+BCjQgEQgicP38eoaGhCA8P9+geWZZRXFyMgIAAVXyA+Ts11mdgYCCKiopw/vx51KlTh60ERLWVRgvoyy5fzDEErqjjX+4qslqtsFqtCA0N9XVRSGVCQ0Pt7w8iqsX0JvtaBBJnGbhUIwKBxVKyNrVOVyMaPEhBtveE7T1CRLVU2dUK2ULgUo0IBDZsEqYb8T1BRAAAQ9D1QYUathC4UqMCARERkUtlWggk7mXgEgMBERHVfGVbCCQLtz92gYGAvCZJEubOnevVPWPHjkVMTEy1lIeIqEL6IIeVCjnt0BkDARER1XxlBxVqzBxU6AKH5ZPXCgoKvJ7RsWzZMshM5ETkKwYTDLYMIFlg5RgCJwwENVjZxYKUVJnn6fV6RctAROQVQzA3N6oAuwz8wNy5cyFJEg4fPoyHHnoIoaGhqF+/PqZOnYrCwkL7dZIkISEhAZ999hnuvPNOGI1GbN68GQBw9uxZPP7444iIiIDRaMSdd96J5cuXO71WYWEh5s6di9tvvx0BAQFo2LAhhg0bhmPHjjm8TtkxBLm5uXjmmWfQrl07BAYGokGDBujfvz/27dtnv8bVGIK8vDw8++yziI6OhtFoRMuWLfHOO+847UVh+742bNiANm3a2Mtv+96IiCp0wzoEnHborEa3EAghUGB2vUKdLMsoKLZCV2y5aUvtBuq1VZoX/9BDDyEmJgbz5s3Djz/+iMWLF+PKlStYuXKl/Zpt27bh888/R0JCAsLDwxETE4OsrCzcdddd9g/WW265BZs2bcITTzyBnJwcTJs2DUDJio9/+ctfkJKSgkceeQRTp05Fbm4ukpOTceDAATRv3txluSZOnIgvv/wSEyZMQPv27XHlyhWkpaXh0KFD6NSpk8t7hBC4//77sX37djzxxBPo0KEDtmzZgueffx5nz57FwoULHa5PS0vDunXrMGnSJISEhGDx4sUYPnw4Tp8+jfr161e6Tomolii7dLGGLQSu1OhAUGC24o7ZW3xdDLtfXxkIk6HyVd6sWTN89dVXAIDJkycjNDQU77//Pp577jm0a9cOAHDkyBH88ssvuOOOO+z3jR8/HlarFb/88ov9w3PixIkYOXIk5s6di6eeegqBgYFYuXIlUlJSsGDBAjzzzDP2+6dPn17uDpLffPMNxo8fj9deew2hoaHQaDR44YUXyv1evv76a2zbtg2vvfYaXnrpJfv3NGLECLz33ntISEhwCCCHDh3Cr7/+aj/Wp08ftG/fHv/+97+RkJDgTTUSUW1kCHJYupjbHztjl4EfmTx5ssPXU6ZMAQBs3LjRfqxXr14OYUAIgbVr12Lo0KEQQuDixYv2PwMHDsTVq1ftTftr165FeHi4/bllldeyERYWht27d+PcuXMefy8bN26EVqvF3/72N4fjzz77LIQQ2LRpk8Pxfv36OQSEdu3aITQ0FMePH/f4NYmoFuPSxRWq0S0EgXotfn1loMtzsiwjNycXIaEhN7XLoCpatGjh8HXz5s2h0Whw8uRJ+7FmzZo5XHPhwgVkZ2fjww8/xIcffujyuefPnwcAHDt2DC1btvR6BsFbb72F+Ph4tGnTBrGxsRgyZAjGjBmDW2+91e09p06dQqNGjRASEuJwvHXr1vbzZTVp0sTpGXXr1sWVK1e8KisR1VI3rFTIdQic1ehAIEmS2yZ6WZZhMWhhMuhUs12vt1z91h4YGOjwtW2q36OPPor4+HiXz7F1N1TWQw89hO7du+Pf//43vv/+e7z99tt48803sW7dOgwePLhKz7bRal2HqfK6MoiI7G7Yy4AtBM5qdCCoaX777TeHFoDff/8dsiyXuwLgLbfcgpCQEFitVvTr16/c5zdv3hy7du2C2Wz2eppgw4YNMX78eCQmJuLixYvo1KkTXn/9dbeBoGnTpvj222+Rm5vr0Epw+PBh+3kiIsXob1i6mIHASaV+NV6yZAliYmIQEBCAbt26Yffu3W6vXbZsGXr06IG6deuibt266NevX7nXk3tLlixx+Prvf/87AJT7W7hWq8Xw4cOxdu1aHDhwwOn8hQsX7H8fPnw4Ll68iH/84x9O17n7TdxqteLq1asOxxo0aIBGjRqhqKjIbbmGDBkCq9Xq9FoLFy6EJEmKtSwQEQFw3tyIgcCJ1y0Ea9asQWJiIpYuXYpu3bph0aJFGDhwII4cOYIGDRo4XZ+amoqRI0fi7rvvRkBAAN58800MGDAABw8eRFRUlCLfRG1x4sQJ3H///Rg0aBDS09Px6aefYtSoUWjfvn25982fPx/bt29Ht27dMGHCBNxxxx24fPky9u3bh2+//RaXL18GAIwZMwYrV65EYmIidu/ejR49eiAvLw/ffvstJk2ahAceeMDp2bm5uWjcuDGGDx+Oli1bon79+ti2bRv27NmDd999122Zhg4dij59+uCll17CyZMn0b59e2zduhVfffUVpk2b5naKIxFRpThsbmRmC4ELXgeCBQsWYMKECRg3bhwAYOnSpfjmm2+wfPlyTJ8+3en6zz77zOHrf/3rX1i7di1SUlIwZsyYSha7dlqzZg1mz56N6dOnQ6fTISEhAW+//XaF90VERGD37t145ZVXsG7dOrz//vuoX78+7rzzTrz55pv267RaLTZu3IjXX38dq1atwtq1a1G/fn3cc889aNu2rctnm0wmTJo0CVu3bsX69eshyzJuu+02vP/++3j66afdlkmj0eDrr7/G7NmzsWbNGnz00UeIiYnB22+/jWeffdb7yiEiKk/ZFgINuwxc8SoQFBcXY+/evZgxY4b9mEajQb9+/ZCenu7RM/Lz82E2m1GvXj231xQVFTk0N+fk5AAAzGYzzGaz0/VmsxlCCMiy7PF6+bYmcNt9amYra/369bFmzRqn87byW61Wh6/LCg8Px+LFi7F48WK39wOA0WjEK6+8gldeecWj19HpdJg/fz7mzZtnHw9gG+xY9rm2VRHLHjOZTHjnnXfwzjvvOH2/Zbso3H1ftimH5f3/k2UZQgiYzWa3AxPVyvZed/WeJ++xPpXnV3UqGex7GUiSBWarVZXlro469fRZXgWCixcvwmq1IiIiwuF4RESEfTBYRV588UU0atSo3AFu8+bNQ1JSktPxrVu3wmQyOR3X6XSIjIzEtWvXUFxc7FE5bHJzc7263hds4Sg3NxcGg8HHpSmf2uqzuLgYBQUF2LFjBywWi6+LUynJycm+LkKNwvpUnl/UqZBxh30MgRnnz190WMNFbZSs0/z8fI+uu6mzDObPn4/Vq1cjNTW13A1yZsyYgcTERPvXOTk5iI6OxoABAxAaGup0fWFhIc6cOYPg4GCPN94RQjj9RqtWRqMRABASEuLy+1cDtdZnYWEhAgMD0bNnT8U3eapuZrMZycnJ6N+/PzeHUgDrU3n+Vqd/Hi79hUqyIKxuPQwZ0tW3BXKhOurU1speEa8CQXh4OLRaLbKyshyOZ2VlITIystx733nnHcyfPx/ffvtthfPejUaj/UOwLL1e77KCrFYrJEmCRqPxeE0BWzOz7T41s33AevP93WxqrU+NRgNJkty+d/yBP5ddjVifyvOXOjXqStdpkSywCnXvwqpknXr6HK/+5TYYDIiNjUVKSor9mCzLSElJQVxcnNv73nrrLbz66qvYvHkzOnfu7M1LEkp2OxRCIDw83NdFISLyWwZ9aZezRoZFdr3xXW3mdZdBYmIi4uPj0blzZ3Tt2hWLFi1CXl6efdbBmDFjEBUVhXnz5gEA3nzzTcyePRurVq1CTEwMMjMzAQDBwcEIDg5W8FshIiJyz6gPApAHADBb1Teg0Ne8DgQPP/wwLly4gNmzZyMzMxMdOnTA5s2b7QMNT58+7dBk/MEHH6C4uBh//etfHZ4zZ84czJ07t2qlJyIi8lBJC0FJILAKBoIbVWpQYUJCgtstZ1NTUx2+LrvxDhERka/oDEGQxHkISYKFgcCJekZ/ERERVSPJEGxfnMgqvJuiXhswEBARUe1QZvliCwOBEwYCIiKqHcosX2yVGQhuxEBARES1gz7IvnyxFf65cml1YiAgr6xYsQKSJDkMFu3duzfuvfde3xWKiMgTZboMOIbAGQMBERHVDgZTmUGFnGVwIwYCIiKqHQzB9hYCwS4DJwwEfiovL8/XRSAi8i9luwzAFoIbMRD4gblz50KSJPz6668YNWoU6tati3vuuQcA8OmnnyI2NhaBgYGoV68eHnnkEZw5c8bpGbt27cKQIUNQt25dBAUFoV27dnjvvffs5//3v/9h7NixuPXWWxEQEIDIyEg8/vjjuHTp0k37PomIqpX+epeBzC4DJzd1+2OqmhEjRqBFixZ44403IITA66+/jlmzZuGhhx7C+PHjceHCBfz9739Hz549sX//foSFhQEo2Vf7L3/5Cxo2bIipU6ciMjIShw4dwn//+19MnTrVfs3x48cxbtw4REZG4uDBg/jwww9x8OBB/Pjjj6ra0piIqFLKdBnI4KDCG9XsQCAEYM53fU6WS84Va4GbtV2v3gRU4YO1ffv2WLVqFQDg1KlTaN68OV577TXMnDnTfs2wYcPQsWNHvP/++5g5cyasViueeuopNGzYEBkZGfaQAACi9AcDACZNmoRnn33W4fXuuusujBw5EmlpaejRo0ely01EpAoG0/UxBJIFsiyg0fCXHZuaHQjM+cAbjVye0gAIu6mFATDzT8AQVOnbJ06caP/7unXrIMsyHnroIVy8eNF+PDIyEi1atMD27dsxc+ZM7N+/HydOnMDChQsdwgAAh9/6AwMD7X8vLCzEtWvXcNdddwEA9u3bx0BARP6vzMJEkCywCgENGAhsanYgqGGaNWtm//tvv/0GIQRatGjh8lq9Xg8AOHbsGACgTZs25T778uXLSEpKwurVq3H+/HmHc1evXq1KsYmI1KFMl4GkscAqC+i1Pi6TitTsQKA3lfxW7oIsy8jJzUVoSIjDds3VXp4qKPtbvCzLkCQJmzZtglbr/I4ODg726tkPPfQQdu7cieeffx4dOnRAcHAwZFnGoEGDIMtylcpNRKQKehOMtp5SyQyrLMq9vLap2YFAktw30csyoLeWnL9ZgUBBzZs3hxACzZo1w+23317udQBw4MAB9OvXz+U1V65cQUpKCpKSkjB79mz78d9++03ZQhMR+VKZaYc6qRgWBgIH/vdJSABKBg9qtVokJSU5DA4ESgYL2qYLdurUCc2aNcOiRYuQnZ3tdB0AewvDjc9ZtGhR9RSeiMgXHAJBEVsIblCzWwhqMNsMgxkzZuDkyZN48MEHERISghMnTmD9+vV48skn8dxzz0Gj0eCDDz7A0KFD0aFDB4wbNw4NGzbE4cOHcfDgQWzZsgWhoaHo2bMn3nrrLZjNZkRFRWHr1q04ceKEr79NIiLlaLQwSiW/AOk0RbCwO9QBA4Efmz59Om6//XYsXLgQSUlJAIDo6GgMGDAA999/v/26gQMHYvv27UhKSsK7774LWZbRvHlzTJgwwX7NqlWrMGXKFCxZsgRCCAwYMACbNm1Co0auZ2kQEfkjg7ZkwLWWYwicMBD4gblz52Lu3Lkuzw0bNgzDhg2r8Bndu3fH1q1b3Z6PiorCunXrnI7f2I0wduxYjB071uFYampqySDNnJwKy0FE5EsGjREAoJWKYbEyEJTFMQRERFRrGLUGAIBGU8wWghswEBARUa1h0JW0EEiSmbMMbsBAQEREtYZRFwAAkCQLZMFAUBYDARER1RoGXekCbxoLxxDcgIGAiIhqDXsgkKwcQ3ADBgIiIqo1jKVLyAvJynUIbsBAQEREtYZRX7KcvcwWAicMBEREVGvo7YFA5iyDGzAQEBFRrWE0lOwEa5VkthDcgIGAiIhqDaMhBABglQQDwQ0YCIiIqNbQG0sCgUUDWKwcVFgWA4Gf2LNnD+6++24EBQVBkiRkZGT4ukhERH7HWBoIAKDQWuzDkqgPA4EfMJvNGDFiBC5fvoyFCxfik08+QUREBKZPn44+ffogJCQEkiQhNTXV10UlIlI1ozHM/vciS6HvCqJC3O3QDxw7dgynTp3CsmXLMH78eAAlOwy++eabaNGiBdq2bYv09HQfl5KISP10xlBIQkBIElsIbsAWAj9w/vx5AEBYWJj9WGxsLC5duoSjR48iMTHRRyUjIvIvkiEIhtI9DIqsRT4ujbowEKjc2LFj0atXLwDAiBEjIEkSevfujZCQENSrV8/HpSMi8jOGYBhKJxcUWdhCUBa7DFTuqaeeQlRUFN544w387W9/Q5cuXRAREeHrYhER+SeDCUYhkAuOIbhRjQ4EQggUWApcnpNlGQWWAujMOmg0N6ehJFAXCEmSvLonLi4ORUVFeOONN9CjRw/89a9/rabSERHVAoYgGEu7DCyWfB8XRl1qdCAosBSg26puvi6G3a5Ru2Aq3ViDiIh8QB8EvS0QmHN9XBh14RgCIiKqPbQ6GEr/KjMQOKjRLQSBukDsGrXL5TlZlpGbm4uQkJCb2mVARES+pRclXbdWyzUfl0RdanQgkCTJbRO9LMuw6Cww6U03LRAQEZHv6Usbx2Vrno9Loi78JCQiolpFK0o++qwWBoKyanQLQU332muvAQAOHjwIAPjkk0+QlpYGAHj55Zd9Vi4iIjXTQwvACtnKWQZlMRD4sVmzZjl8vXz5cvvfGQiIiFzTlgYCq5XrEJTFQOAHevfuDSGc9+12dYyIiMqnlXQAiiHLrtepqa0qNYZgyZIliImJQUBAALp164bdu3eXe/0XX3yBVq1aISAgAG3btsXGjRsrVVgiIqKq0kl6AIBVZgtBWV4HgjVr1iAxMRFz5szBvn370L59ewwcONC+Ac+Ndu7ciZEjR+KJJ57A/v378eCDD+LBBx/EgQMHqlx4IiIib2lREghkwc2NyvK6y2DBggWYMGECxo0bBwBYunQpvvnmGyxfvhzTp093uv69997DoEGD8PzzzwMAXn31VSQnJ+Mf//gHli5dWsXiExEReUenKVma6Lz5T3z41Us+Lo0jWRYouCwBGHLTX9urQFBcXIy9e/dixowZ9mMajQb9+vVDenq6y3vS09OdtucdOHAgNmzY4PZ1ioqKUFR0Pbnl5OQAAMxmM8xms9P1ZrMZQgjIsgxZlj36Xmz977b7qGrUWp+yLEMIAbPZDK1W6+vieMX2Xnf1nifvsT6V5691qpMCAAD7AwqwP/trH5fGWdeiIJjNygUVT///eBUILl68CKvV6rTbXkREBA4fPuzynszMTJfXZ2Zmun2defPmISkpyen41q1bYTI5LzSk0+kQGRmJa9euobjYu+0sc3O5dKWS1FafxcXFKCgowI4dO2CxWHxdnEpJTk72dRFqFNan8vytTqO1d6Nt/mkUaay+LopLoSJM0TrNz/dseqUqZxnMmDHDoVUhJycH0dHRGDBgAEJDQ52uLywsxJkzZxAcHIyAgACPXkMIYV+62NsdCMmZWuuzsLAQgYGB6Nmzp8fvDbUwm81ITk5G//79odfrfV0cv8f6VJ7/1ukQjEdixZf5QHXUqa2VvSJeBYLw8HBotVpkZWU5HM/KykJkZKTLeyIjI726HgCMRiOMRqPTcb1e77KCrFYrJEmCJEkeL0Nsa9b25h5yT631aXtfuHvv+AN/LrsasT6VxzpVnpJ16ulzvPqX22AwIDY2FikpKfZjsiwjJSUFcXFxLu+Ji4tzuB4oaV5yd31l2L5ZT5tFqPawvSf4jxURUfm87jJITExEfHw8OnfujK5du2LRokXIy8uzzzoYM2YMoqKiMG/ePADA1KlT0atXL7z77ru47777sHr1avz000/48MMPFfsmtFotwsLC7FMfTSZThc3WsiyjuLgYhYWFqvqN1l+prT6FEMjPz8f58+cRFhbmdwMKiYhuNq8DwcMPP4wLFy5g9uzZyMzMRIcOHbB582b7wMHTp087fCDcfffdWLVqFV5++WXMnDkTLVq0wIYNG9CmTRvlvgvA3gXhbj2EGwkhUFBQgMDAQFX1efsrtdZnWFhYud1TRERUolKDChMSEpCQkODyXGpqqtOxESNGYMSIEZV5KY9JkoSGDRuiQYMGHk2xMJvN2LFjB3r27MnmZAWosT71ej1bBoiIPKTKWQZVodVqPfoQ0Gq1sFgsCAgIUM0HmD9jfRIR+Tffd/YSERGRzzEQEBEREQMBERERMRAQERERGAiIiIgIfjLLwLaTnqfrMXvCbDYjPz8fOTk5HBWvANan8linymJ9Ko91qrzqqFPbZ6fts9QdvwgEth30oqOjfVwSIiIi/5Sbm4s6deq4PS+JiiKDCsiyjD///FPRnfRsOyieOXPG5Q6K5B3Wp/JYp8pifSqPdaq86qhT2260jRo1Kndpeb9oIdBoNGjcuHG1PDs0NJRvZAWxPpXHOlUW61N5rFPlKV2n5bUM2HBQIRERETEQEBERUS0OBEajEXPmzIHRaPR1UWoE1qfyWKfKYn0qj3WqPF/WqV8MKiQiIqLqVWtbCIiIiOg6BgIiIiJiICAiIiIGAiIiIkItDQRLlixBTEwMAgIC0K1bN+zevdvXRfIb8+bNQ5cuXRASEoIGDRrgwQcfxJEjRxyuKSwsxOTJk1G/fn0EBwdj+PDhyMrK8lGJ/cv8+fMhSRKmTZtmP8b69N7Zs2fx6KOPon79+ggMDETbtm3x008/2c8LITB79mw0bNgQgYGB6NevH3777Tcflli9rFYrZs2ahWbNmiEwMBDNmzfHq6++6rAuPuuzfDt27MDQoUPRqFEjSJKEDRs2OJz3pP4uX76M0aNHIzQ0FGFhYXjiiSdw7do1ZQsqapnVq1cLg8Egli9fLg4ePCgmTJggwsLCRFZWlq+L5hcGDhwoPvroI3HgwAGRkZEhhgwZIpo0aSKuXbtmv2bixIkiOjpapKSkiJ9++kncdddd4u677/Zhqf3D7t27RUxMjGjXrp2YOnWq/Tjr0zuXL18WTZs2FWPHjhW7du0Sx48fF1u2bBG///67/Zr58+eLOnXqiA0bNoiff/5Z3H///aJZs2aioKDAhyVXp9dff13Ur19f/Pe//xUnTpwQX3zxhQgODhbvvfee/RrWZ/k2btwoXnrpJbFu3ToBQKxfv97hvCf1N2jQING+fXvx448/iu+//17cdtttYuTIkYqWs9YFgq5du4rJkyfbv7ZaraJRo0Zi3rx5PiyV/zp//rwAIL777jshhBDZ2dlCr9eLL774wn7NoUOHBACRnp7uq2KqXm5urmjRooVITk4WvXr1sgcC1qf3XnzxRXHPPfe4PS/LsoiMjBRvv/22/Vh2drYwGo3i3//+980ool+57777xOOPP+5wbNiwYWL06NFCCNant24MBJ7U36+//ioAiD179tiv2bRpk5AkSZw9e1axstWqLoPi4mLs3bsX/fr1sx/TaDTo168f0tPTfVgy/3X16lUAQL169QAAe/fuhdlsdqjjVq1aoUmTJqzjckyePBn33XefQ70BrM/K+Prrr9G5c2eMGDECDRo0QMeOHbFs2TL7+RMnTiAzM9OhTuvUqYNu3bqxTl24++67kZKSgqNHjwIAfv75Z6SlpWHw4MEAWJ9V5Un9paenIywsDJ07d7Zf069fP2g0GuzatUuxsvjF5kZKuXjxIqxWKyIiIhyOR0RE4PDhwz4qlf+SZRnTpk1D9+7d0aZNGwBAZmYmDAYDwsLCHK6NiIhAZmamD0qpfqtXr8a+ffuwZ88ep3OsT+8dP34cH3zwARITEzFz5kzs2bMHf/vb32AwGBAfH2+vN1f/DrBOnU2fPh05OTlo1aoVtFotrFYrXn/9dYwePRoAWJ9V5En9ZWZmokGDBg7ndTod6tWrp2gd16pAQMqaPHkyDhw4gLS0NF8XxW+dOXMGU6dORXJyMgICAnxdnBpBlmV07twZb7zxBgCgY8eOOHDgAJYuXYr4+Hgfl87/fP755/jss8+watUq3HnnncjIyMC0adPQqFEj1mcNU6u6DMLDw6HVap1GaGdlZSEyMtJHpfJPCQkJ+O9//4vt27c7bE0dGRmJ4uJiZGdnO1zPOnZt7969OH/+PDp16gSdTgedTofvvvsOixcvhk6nQ0REBOvTSw0bNsQdd9zhcKx169Y4ffo0ANjrjf8OeOb555/H9OnT8cgjj6Bt27Z47LHH8Mwzz2DevHkAWJ9V5Un9RUZG4vz58w7nLRYLLl++rGgd16pAYDAYEBsbi5SUFPsxWZaRkpKCuLg4H5bMfwghkJCQgPXr12Pbtm1o1qyZw/nY2Fjo9XqHOj5y5AhOnz7NOnahb9+++OWXX5CRkWH/07lzZ4wePdr+d9and7p37+40Ffbo0aNo2rQpAKBZs2aIjIx0qNOcnBzs2rWLdepCfn4+NBrHjwqtVgtZlgGwPqvKk/qLi4tDdnY29u7da79m27ZtkGUZ3bp1U64wig1P9BOrV68WRqNRrFixQvz666/iySefFGFhYSIzM9PXRfMLTz/9tKhTp45ITU0V586ds//Jz8+3XzNx4kTRpEkTsW3bNvHTTz+JuLg4ERcX58NS+5eyswyEYH16a/fu3UKn04nXX39d/Pbbb+Kzzz4TJpNJfPrpp/Zr5s+fL8LCwsRXX30l/ve//4kHHniA0+TciI+PF1FRUfZph+vWrRPh4eHihRdesF/D+ixfbm6u2L9/v9i/f78AIBYsWCD2798vTp06JYTwrP4GDRokOnbsKHbt2iXS0tJEixYtOO1QCX//+99FkyZNhMFgEF27dhU//vijr4vkNwC4/PPRRx/ZrykoKBCTJk0SdevWFSaTSfy///f/xLlz53xXaD9zYyBgfXrvP//5j2jTpo0wGo2iVatW4sMPP3Q4L8uymDVrloiIiBBGo1H07dtXHDlyxEelVbecnBwxdepU0aRJExEQECBuvfVW8dJLL4mioiL7NazP8m3fvt3lv5vx8fFCCM/q79KlS2LkyJEiODhYhIaGinHjxonc3FxFy8ntj4mIiKh2jSEgIiIi1xgIiIiIiIGAiIiIGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQECkWqmpqZAkCb179/Z1USrl5MmTkCQJMTExN+X1qlJfkiRBkiTlC0XkRxgIiHwoJiYGkiTh5MmTvi4KEdVyDARERETEQEBEREQMBEQ+sWLFCkiShFOnTgEo2RPd1o8tSRJSU1MdrjebzXjzzTdx5513IjAwEPXr18ewYcNw6NAhp2eX7bu3Wq1YsGABOnbsiODgYKd+8qNHj+Kpp55C8+bNERAQgDp16qBnz5749NNPXZb76tWrePnll9G2bVsEBQXBaDSiUaNG6N69O2bPng2z2ezyPiEEPvzwQ8TGxiIoKAh16tTBgAEDkJ6e7raO/vjjD0yZMgUtWrSwl6179+745z//CavVWl71upSeno7BgwcjLCwMwcHB6Ny5M5YvX+71c4hqKp2vC0BUG912222Ij4/Hl19+iby8PAwfPhzBwcH285GRkcjMzARQEgaGDBmCnTt3omfPnmjdujV2796N9evXY/v27di/f7/LgXtCCAwbNgybN29Gjx490Lp1axw8eNB+/osvvsCYMWNQWFiIVq1aYciQIbh69Sp27dqFxx57DNu2bXP4wMzPz8c999yDAwcO4JZbbkHfvn0RFBSEzMxMHD58GDt37kRiYiLCwsKcyjJu3DisWrUKPXr0wF/+8hdkZGQgOTkZO3bswHfffYdu3bo5XL9nzx4MGjQIly9fRpMmTfDggw/i6tWrSE1Nxc6dO7F+/Xp8/fXXMBgMHtX3F198gZEjR8JqtaJNmzZo27Ytzpw5g/HjxzvUCVGtpuhmykTklaZNmwoA4sSJE07nyu6h3rFjR3Hu3Dn7uYKCAjFw4EABQDz55JMO9504ccJ+X+PGjV3uS/+///1PGI1GERAQINauXetw7uTJk6Jt27YCgPj444/txz/++GMBQAwePFgUFxc73GO1WkVqaqooKipyWY6mTZs6lMNisYjHH39cABADBgxweFZhYaG9XiZOnOjwWseOHRMxMTECgJg5c6bL+urVq5fD8XPnzomQkBABQCxYsMDh3LfffisCAgLs5SSqzfgTQORDngQCSZJERkaG0/kff/xRABC33nqrw/GyH8QrV650+boPP/ywACDeeecdl+d3794tAIjY2Fj7sbfeesvlh6o7Zcvx9ddfO50/d+6cACCMRqPDh/4nn3wiAIhGjRqJwsJCp/u+/PJLAUCEhISIgoIC+3F3geC1114TAMRdd93lspxTp05lICASQnAMAZHKNWnSBO3bt3c63rp1awDA2bNn3d47fPhwp2OyLGPTpk0AgIcfftjlfZ07d0ZwcDD279+PwsJCAECXLl0AAG+99RZWrlyJy5cve1R+nU6HQYMGOR2PjIxE3bp1UVRUhEuXLtmP28ZPPPLIIzAajU73DRs2DHXr1kVubi727t1b4evbnjd69GiX5+Pj4z34LohqPgYCIpVr0qSJy+OhoaEAgKKiIpfnGzRoAJPJ5HT80qVLyMnJAQBER0c7DGa0/dFoNLh27RpkWbZ/WPfu3Rsvvvgizp8/j/j4eISHh6Nly5Z4/PHH8dVXX0GWZZflaNiwIfR6fbnfgy10ANcDTrNmzVzeI0mS/Vx5Ycjmjz/+KPd57o4T1TYcVEikchpN5XJ7YGCgy+NlP7g9+e247G/p8+fPx8SJE/Gf//wHaWlp+OGHH/DRRx/ho48+QpcuXbB9+3YEBQUpUn4iurkYCIhqmfDwcAQGBqKgoADvvPMOwsPDvbo/JiYGU6ZMwZQpUwCUzAh49NFHsWfPHrz11ltISkqqUvmioqIAAMePH3d7zYkTJxyureh5hw8fdrsaJFeJJCrB6E7kQ7ZpcxaL5aa9plarRf/+/QEAn3/+eZWf16VLF0yaNAkAkJGRUeXn2fYiWLNmjUNXgs369etx5coVhISEIDY2tsLn9erVCwDw2WefuTy/cuXKyheWqAZhICDyocaNGwPATZ8LP2fOHBgMBjz//PP4+OOPXfb/HzhwAOvWrbN/vX79euzYscPpWrPZjM2bNwMAmjZtWuWyjRgxAk2aNMGff/6JxMREh7B04sQJPPvsswCAKVOmICAgoMLnPfHEEwgODkZ6ejoWL17scC41NRVLly6tcpmJagIGAiIfss0CePTRRzF8+HCMHz8e48ePx5EjR6r1dTt16mRfjXDs2LFo2rQpBg4ciEcffRRDhgxBdHQ02rZt69CC8N1336FXr16IiIjAgAED8Oijj+KBBx5A48aNsXnzZkRFReGFF16octmMRiO+/PJL1KtXDx988AFuu+02PPLII7jvvvtwxx134MSJExg4cCDmzJnj0fMaNWqEZcuWQavVYurUqWjXrh1GjRqFXr164d5778XEiROrXGaimoBjCIh86Omnn0Zubi4+/fRTbNy40d5E/uijj1b7a48YMQJdunTB4sWLkZycjB9++AFWqxURERG47bbbkJCQgL/+9a/268eOHYvAwECkpaXh119/xXfffYc6deqgSZMmmDZtGp588knUr19fkbJ16dIFGRkZePPNN7Fp0yasX78eRqMRHTt2xJgxYzB+/HjodJ7/8/XII4+gcePGeO2115Ceno5jx46hZcuWWLp0KZ588kksXLhQkXIT+TNJCCF8XQgiIiLyLXYZEBEREQMBERERMRAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAjA/wdOozCkY93jywAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<cosmodules.classification.output_analysis.ClassificationAnalysis at 0x7f703ed31b80>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ClassificationAnalysis(\n",
    "    ant_path = f\"{ROOT}/example/classification/prediction/single_label_background.json\",\n",
    "    save_folder = f\"{ROOT}/example/classification/output/metrics/single_label_background\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cosmos",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}