{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5b2b5551",
   "metadata": {},
   "source": [
    "# BPNet Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8fd2f614",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:44:42.238178Z",
     "start_time": "2026-03-30T22:44:42.222454Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-04-20 21:58:57.251063: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import h5py\n",
    "import glob\n",
    "import shutil\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from tensorflow.keras.models import load_model\n",
    "# Need to import to avoid an error\n",
    "from bpnet.model.arch import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "16edb2a9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:44:44.291499Z",
     "start_time": "2026-03-30T22:44:44.280321Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1456feec",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:44:46.317376Z",
     "start_time": "2026-03-30T22:44:46.307068Z"
    }
   },
   "outputs": [],
   "source": [
    "def explore_h5(filename):\n",
    "    def print_structure(name, obj):\n",
    "        if isinstance(obj, h5py.Group):\n",
    "            print(f\"[Group] {name}\")\n",
    "        elif isinstance(obj, h5py.Dataset):\n",
    "            print(f\"[Dataset] {name}, shape={obj.shape}, dtype={obj.dtype}\")\n",
    "\n",
    "    with h5py.File(filename, \"r\") as f:\n",
    "        f.visititems(print_structure)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c5a7fc1",
   "metadata": {},
   "source": [
    "## Predicted vs actual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "26e0a3c9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:31.177429Z",
     "start_time": "2026-03-30T22:46:31.170410Z"
    }
   },
   "outputs": [],
   "source": [
    "model = 'Reh_RUNX1_B'\n",
    "mean_predictions_h5_file = f'/users/shouvikm/BPNet/fusion_deconvolution_V3/predictions/{model}_native/with_bias/mean_predictions.h5'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "284b717f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:31.544091Z",
     "start_time": "2026-03-30T22:46:31.421445Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Dataset] coords_chrom, shape=(5811,), dtype=object\n",
      "[Dataset] coords_end, shape=(5811,), dtype=int64\n",
      "[Dataset] coords_start, shape=(5811,), dtype=int64\n",
      "[Dataset] pred_logcounts, shape=(5811, 2), dtype=float32\n",
      "[Dataset] pred_prof, shape=(5811, 1000, 2), dtype=float32\n"
     ]
    }
   ],
   "source": [
    "explore_h5(mean_predictions_h5_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "86209900",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:33.495108Z",
     "start_time": "2026-03-30T22:46:33.322371Z"
    }
   },
   "outputs": [],
   "source": [
    "with h5py.File(mean_predictions_h5_file, \"r\") as f:\n",
    "    coords_chrom = f['coords_chrom'][:]\n",
    "    coords_start = f['coords_start'][:]\n",
    "    coords_end = f['coords_end'][:]\n",
    "    pred_logcounts = f[\"pred_logcounts\"][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a649ad04",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:35.907027Z",
     "start_time": "2026-03-30T22:46:35.898449Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[b'chr10' b'chr10' b'chr10' ... b'chrX' b'chrX' b'chrX']\n",
      "[100185526 100346055 100346648 ...  73943741  74614155  78103543]\n",
      "[100186526 100347055 100347648 ...  73944741  74615155  78104543]\n"
     ]
    }
   ],
   "source": [
    "print(coords_chrom)\n",
    "print(coords_start)\n",
    "print(coords_end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "97d76919",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:46.887423Z",
     "start_time": "2026-03-30T22:46:46.825528Z"
    }
   },
   "outputs": [],
   "source": [
    "# Reorder coords as true_logcounts regions may not be in the same order as mean h5 file\n",
    "fold_0_predictions_h5_file = f'/users/shouvikm/BPNet/fusion_deconvolution_V3/predictions/{model}_native/with_bias/fold_0/model_split000_predictions.h5'\n",
    "with h5py.File(fold_0_predictions_h5_file, \"r\") as f:\n",
    "    coords_chrom = f['coords/coords_chrom'][:]\n",
    "    coords_start = f['coords/coords_start'][:]\n",
    "    coords_end = f['coords/coords_end'][:]\n",
    "    true_logcounts = f[\"predictions/true_logcounts\"][:]\n",
    "    order = np.argsort([str(coords_chrom[i])+\"_\"+str(coords_start[i])+\"_\"+str(coords_end[i]) for i in range(coords_chrom.shape[0])])\n",
    "    coords_chrom = coords_chrom[order]\n",
    "    coords_start = coords_start[order]\n",
    "    coords_end = coords_end[order]\n",
    "    true_logcounts = true_logcounts[order]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a3de8add",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:48.055542Z",
     "start_time": "2026-03-30T22:46:48.047054Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['chr10' 'chr10' 'chr10' ... 'chrX' 'chrX' 'chrX']\n",
      "[100185526 100346055 100346648 ...  73943741  74614155  78103543]\n",
      "[100186526 100347055 100347648 ...  73944741  74615155  78104543]\n"
     ]
    }
   ],
   "source": [
    "print(coords_chrom)\n",
    "print(coords_start)\n",
    "print(coords_end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aa40f4ab",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:48.584265Z",
     "start_time": "2026-03-30T22:46:48.573992Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[3.0758173, 3.0986013],\n",
       "       [2.9510422, 2.8322914],\n",
       "       [3.5219083, 3.546542 ],\n",
       "       ...,\n",
       "       [2.6807911, 2.73443  ],\n",
       "       [2.8347926, 2.8786557],\n",
       "       [3.5201283, 3.4914854]], dtype=float32)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_logcounts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f32b8bad",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:49.481059Z",
     "start_time": "2026-03-30T22:46:49.470572Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[3.07615042, 3.08908558],\n",
       "       [2.8826263 , 2.77096438],\n",
       "       [3.54872489, 3.59262753],\n",
       "       ...,\n",
       "       [2.63288045, 2.65915251],\n",
       "       [2.91204095, 2.96423197],\n",
       "       [3.42021728, 3.38885784]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "true_logcounts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "106f0f57",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:50.061596Z",
     "start_time": "2026-03-30T22:46:50.050253Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9432958570438789\n"
     ]
    }
   ],
   "source": [
    "corr_plus = np.corrcoef(pred_logcounts[:, 0], true_logcounts[:, 0])\n",
    "corr_minus = np.corrcoef(pred_logcounts[:, 1], true_logcounts[:, 1])\n",
    "corr_avg = (corr_plus[0, 1] + corr_minus[0, 1])/2\n",
    "print(corr_avg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "49ed1ffe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:46:52.295884Z",
     "start_time": "2026-03-30T22:46:52.025545Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Actual log counts')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3HI888gi//OUvB52h9r7P1atX92vP7Gy97777sm1nnHEGX/3qV/nOd77DZz7zmazrZOvWrTQ0NGTD/DIuoOLiYlauXDnie+zp6ckeGwqFWL9+PevXr+eLX/widrt90OPOPfdcdF3ngw8+yBG0e++9l/PPP58LL7yQf/qnf8Lr9fL+++9TVFTEzTffzOWXX87ZZ5/N5z73Oe69915KS0v57//+b1pbW7nzzjtHbHdfxvJdWbJkCS6Xi1tvvZV//dd/paWlhe9+97tMnjw5p9+cOXNQVZUHHniAZcuWkZeXN6Cw3XTTTfzkJz/h8ssv5wc/+AE2m40f/vCHmEwmbr/99lHf04wZM6iqqhrSr19RUcEXvvAFvvWtb6EoCpMnT+aee+7B4/Hwj//4j9l+v/3tb7n55pt57bXXst+PF198kbq6OubOnUt3dze///3v2bBhQ87GvNmzZ/d7Ynj00Udpbm7u95lGIhF2797Nd7/73VHf6zHnOC8kn3IMtdnls5/9rJGXl2f09PQYhmEYW7ZsMdasWWN4PB7DbrcbNTU1xpe//GWjqanJMIzBIzK+9rWvGVVVVSO2aaCNSoaRjiyZOnWqsXLlypz2xx9/3Fi8eLFht9sNu91uLFq0KGcTV4be0Tu9Wb58uQFko3c2btxoSJJkPPzww/36BoNBY9KkScZnPvOZbFsmiqXvT187h7vn3sfa7XZj7ty5xn333WckEolhj583b55x55139mt/6623jNWrVxsOh8Nwu93GkiVLjFdffTX7vs/nMz7/+c8bBQUFhtVqNZYuXWq8/vrr/Wwb6PcxVOTIWL4rL774ojF37lzDZrMZ8+fPN9avX9/v2qlUyvinf/ono7S01JAkKfsZD/Q9bmhoMK6++mrD7XYbDofDuOiii4wPP/wwp89A34k//elPBmDU19fn9BvJ7zMejxvf/OY3jZKSEsNutxsXXnihsWvXrpw+v/71r/tFlr388svGGWecYTgcDsPj8RhXXnllTuTRYAz2O/jjH/9oOJ1OIxgMDnuO441kGEOsWAkEggH57//+bx544AFqa2uHfboRnPysXbsWt9s9YJ6piYYQfYFgDMRiMWbMmMGDDz7Yz7crOLWor69n7ty57Ny5k+nTpx9vc4ZF+PRPcoZKxyBJ0jGLijmWHIt7ttvtPProo8Mm9hKc/LS0tPCLX/zihBB8EDP9k56hXA9VVVX9ojVOBk7FexYIRoqY6Z/kDLUjc7x22040TsV7FghGipjpCwQCwSmE2JwlEAgEpxCnnHtH13UOHjyI2+0WoXYCgeCkwDAMQqEQkyZNGrbexCkn+gcPHhwwe6FAIBCc6DQ1NQ2bO+mUE3232w2kP5yh8qsIBALBRKXFH2VfZ4R8KcKbL/+Fzs5OfvKTn2T1bShOOdHPuHTy8vKE6AsEghOSvLw8pNhunnnmBVKpVDYv1Uhc1mIhVyAQCE4gDMNg06ZNPPnkk6RSKaZNm8YNN9ww4uNPuZm+QCAQnKgYhsGf//xntm/fDqTTsl922WWEw+ERn0OIvkAgEJwgSJJEQUEBkiRx6aWXcvbZZ4/6HEL0BQKBYIJjGEbWX798+XJqamooKysb07mET18gEAgmMHV1dfzmN7/J1uSVJGnMgg9C9AUCgWDC8t577/HYY4/R2NiYU9XrSBDuHYFAIJhgaJrGSy+9xNatW4F06dDzzjtvXM4tRF8gEAgmEPF4nKeeeor9+/cDcOGFF7Js2bJxSxsjRF8gEAgmCN3d3Tz22GN0dXVhNpu5+uqr+xVnP1KE6AsEAsEEQVEUEokEeXl5XH/99Ue0YDsYQvQFAoFgghDSzcxcdhmzKosoKys5KtcQ0TsCgUBwnNB1nVdeeYVPPvkEgNr2MHuCCi0j32A7asRMXyAQCI4DyWSSZ555hj179mA2m5kyZQo1pS6A7L9HAyH6AoFAcIwJBAI8/vjjtLe3oygKV1xxBS6XCxdQ4XUc1WsL0RcIBIJjSHNzM0888QSRSASn08l11103bOGT8WTC+PTvvfdeJEni9ttvH7TPo48+iiRJOT82m+3YGSkQCARHwEcffcSjjz5KJBKhtLSUL37xi8dU8GGCzPS3bNnCQw89xPz584ftm5eXx549e7KvRZ1bgUBwotDS0oKmacycOZOrr74aq9V6zG047qIfDof57Gc/yy9/+Ut+8IMfDNv/SJMNCQQCwfHioosuoqSkhDPOOGPYAuajocUfHXHf4+7eufXWW7n88su58MILR9Q/HA5TVVVFZWUlV155JR9//PGQ/ROJBMFgMOdHIBAIjgWhUIj169ejaRoAsixz1llnjavgA+zrjIy473Gd6T/xxBO8//77bNmyZUT9Z82axSOPPML8+fMJBAL86Ec/YtmyZXz88ceD+sXWrVvHXXfdNZ5mCwQCwbC0trbyxBNPEAwGkWWZSy+99Khda3qxc8R9JcMwjKNmyRA0NTWxaNEiXnnllawvf9WqVZx55pncf//9IzpHKpVizpw5XH/99Xz/+98fsE8ikSCRSGRfB4NBKisrCQQCojC6QCA4KuzevZtnnnmGVCpFUVER119/PQUFBUftesFgEI/HMyJdO24z/W3bttHR0cGCBQuybZqmsXHjRn7605+SSCRQFGXIc5jNZs466yzq6uoG7WO1Wo/LYolAIDj1MAyDt956i9deew2AadOmsXbt2gkVZXjcRP+CCy5g586dOW033XQTs2fP5l/+5V+GFXxIDxI7d+5kzZo1R8tMgUAgGBGqqvKXv/ylX9Hy8fbfHynHTfTdbjenn356TpvT6aSwsDDbfsMNNzB58mTWrVsHwN13382SJUuYMWMGPT093HfffTQ2NvKFL3zhmNsvEAgEvQkGg+zateuIipaPlGZ/lNr2MDWlrlHv4D3uIZtDceDAgZxR0u/388UvfpG2tja8Xi8LFy7k7bff5rTTTjuOVgoEAgEUFBSwdu1aDMNgxowZR/Vate1htjX6gdGnbThuC7nHi9EseAgEAsFQ1NXVoSgKU6dOPabX7TvTPyEWcgUCgeBE5r333uOll17CarXypS99Ca/Xe8yuXeF1jDkxmxB9gUAgGAW6rvPiiy9mi5bPnj0bt9t9nK0aOUL0BQKBYIQc7aLlxwIh+gKBQDACuru7efzxx/H5fEetaPmxQIi+QCAQjIB33nkHn893VIuWHwuE6AsEAsEIuPjiizEMgxUrVpxQPvy+TKytYgKBQDBB0HWd7du3k4lqN5lMXH755Se04IOY6QsEAkE/ehct7+zs5KKLLjreJo0bQvQFAoGgF32Llp+ovvvBEKIvEAgEhzjeRcuPBUL0BQKBgHTR8meffRZN0ygtLeX666/H4/Ecb7PGHSH6AoHglCcUCvHcc88d96LlxwIh+gKB4KhzJKmAjwVut5urrrqKlpYWLrzwwgmXA388EaIvEAiOGhmx94UTNHZFgdGnAj5ahEIhotEopaWlAMydO5e5c+ceZ6uOPifvcCYQCI47h/O+Gyys8lJT6jreJgHQ1tbGww8/zO9//3uCweDxNueYImb6AoHgqJER+Ynk1ulbtFzTtHG/xkR2ZwnRFwgER40jyfs+3hiGwdtvv82rr74KjG/R8r4ifySVrY42QvQFAsFJz9EuWt5X5Hs/4Uw0hOgLBIKTnjfeeIPt27cftaLlfUV+Ij3h9EWIvkAgOOlZvnw5jY2NrFix4qgULZ/IIt8XIfoCgeCEYLSLo+3t7ZSUlCBJElarlZtuuumEqnB1tBAhmwKB4IQg4zevbQ8P2/e9997joYceYvPmzdk2IfhpxExfIBCcEIxkcbRv0fLOzk4MwxCC3wsh+gKB4IRgOL9536LlF1xwAeeee64Q/D4I0RcIBCc8J0vR8mOBEH2BQHBCk0gkeOSRR4hEIuTl5XHddddRXl5+vM2asAjRFwgEJzRWq5WVK1eyfft2rrvuuhO+hu3RRoi+QCA44dB1nWg0isuVXtRdvHgxCxYsQFGU42zZxEeEbAoEghOKZDLJH/7wB379618Ti8Wy7ULwR4aY6QsEghOGvkXLDx48yPTp04+3WScUQvQFAsExZaxph/sWLb/22muprKw8ipaenAjRFwgEx5SxpB3+6KOPeO6551BVlZKSEq6//nry8/OPopUnL0L0BQLBMWW0aYe3b9/Oc889B3DSFy0/FgjRFwgEx5TRZqSsqakhPz+fOXPmnPRFy48FE+bTu/fee5Ekidtvv33Ifk899RSzZ8/GZrMxb9481q9ff2wMFAgEx4xkMpn9v9Pp5B//8R+5+OKLheCPAxPiE9yyZQsPPfQQ8+fPH7Lf22+/zfXXX88//MM/8MEHH3DVVVdx1VVX8dFHHx0jSwUCwdGmra2Nn/3sZ9kqV8C4lDQUpDnuoh8Oh/nsZz/LL3/5S7xe75B9H3jgAS699FK+9a1vMWfOHL7//e+zYMECfvrTnw56TCKRIBgM5vwIBIKJye7du3nkkUcIBoO888476Lp+vE066Tjuon/rrbdy+eWXc+GFFw7bd/Pmzf36XXLJJTk5s/uybt06PB5P9keEeAkEEw/DMHjrrbd48sknSaVSTJs2jRtvvFG4c44Cx3Uh94knnuD9999ny5YtI+rf1tZGaWlpTltpaSltbW2DHnPHHXfwjW98I/s6GAwK4RcIjgEjjcfXNI0XXnghp2j5pZdeKnbYHiWOm+g3NTXxta99jVdeeeWo+uusVqsI7xIIjhG9hX4k8fiapvG73/2OxsbGERUtH+vGLsFhjpvob9u2jY6ODhYsWJBt0zSNjRs38tOf/pREItFvpC8rK6O9vT2nrb29nbKysmNis0AgGJreQj+SeHxFUaiurqatrY1rrrlm2KLlY9nYJcjluIn+BRdcwM6dO3PabrrpJmbPns2//Mu/DPhot3TpUl577bWcsM5XXnmFpUuXHm1zBQLBCOgt9EPF4+u6nvXXr1y5krPOOguPxzOq8wvGxnETfbfbzemnn57T5nQ6KSwszLbfcMMNTJ48mXXr1gHwta99jZUrV/LjH/+Yyy+/nCeeeIKtW7fyi1/84pjbLxAI+jOSjVfvvfceH374ITfeeCNmsxlJkkYk+CM9v2BoJvTS+IEDB2htbc2+XrZsGY899hi/+MUvOOOMM3j66ad59tln+w0eAoFg4qHrOuvXr+fFF1+kpaUlJw5/otHsj7JhdwfN/ujxNmXckQzDMI63EceSYDCIx+MhEAiQl5d3vM0RCE5atjZ0s6nOx/IZRZxe5uDpp59m3759wMQvWr5hdwfbGv0srPKyenbJ8TZnWEajayL3jkAgOCpsqvOxqdaHFgvx7l/eOaGKlp/MawdC9AUCwagYadjk8hlFqCEfiY9fJZyID1i0PHMut81EKK5OmFDMk3ntQIi+QCAYFSMNm1xUXcCM/NP4Zd1bFE+aNGDR8sy5TIqEqhnDnvNocSrF/wvRFwgEo2I414dhGFlffdiwMGfFFZw+rbyf4Pc+R++Z/vHgVIr/F6IvEAhGRcb1kYlw6T07TiaT/OlPf+LMM89k1qxZ1LaH2d0j4exKUF08+LmONyezD78vQvQFAsGY6Ds77l20vLGxkbU3fglfOE5VoWNcxfRouGImyuBzLBCiLxAIBqV32OWi6oIcwe09O25paeGJJ54gHA5jszuYtewStjYFaeyKsbDKO66Ceiq5Yo4GQvQFgpOQ0cyGe/cFco7LhF1CemG2t+Cunl1ChdfRr2h59dkX87FPpcomsbDKO+4uk1PJFXM0EKIvEJyEjGY23LsvkHPc8hlFBGMpHGaFZn80R3ANw+D5v77KB+++DRwuWt4Z1bA5+w84Qw0uo+FUcsUcDYToCwQnGc3+6LC+9L5uGl84ji+cYGqRM2d2vqi6gFBcZVujn9r2cHZ23+yP8vqeThraDg0Qs87g2s98GlmWqbAOPNAMNbgIjh1C9AWCk4za9vCwvvS+bpoil41tjX6KXNZ+aQfcNhMmRcJtM+Ucv2FPB3HHDJRKD1r5dA4G4oPO7Cu8jgHdMsJFc+wRoi8QnGQM5/NOi3GIaDKF22Ya9skgFFdRNYNQXKWtrY133nkH89TF7GkPklJ1TLKbUHOQmtK8HNHv62Lq65Y52Wf44+XOGm+E6AsEJxnD+bxr28N82BxAktKCHooP/WSQES1LuJVHnvkLqVQKa7dGT6QIu1lh8bQCqouc/QaMU33BdaK6s4ToCwSnGDWlLlbOKgaMEblaJufbafzkA1599VUA8ksrmHbGQlpru1FkmUXVBQNmohxu8DnZUx9MVHeWEH2B4ARnLOJZ5LLm9B+qhm3vouXeKbPZa57OJEPhW5fMznFfjJaTPd5+OHfW8Rr0hOgLBCc4mUXVHc09XLOwIhtdM5igjERsm/1RPjnQyf73XqX9YDOSJHHJJZfQKJdRW9sFGDmiNhYBG2gmfLLP/ntzvAY9IfoCwQnCYIJYU+piR3MP3ZEkte1hKryOQQVlsEXb3uduC8T53TsNmFNh8jvasVgsrL7000TtxUyzmSh22/vN7sciYAO5f0722X9vjteahxB9geAEYTBBrPA6uGZhRY6rZaAwy8w5+i7aNvujPL2tmQPdUaYUOAjGUuzvjDCt2MWi1WtQFRtNmpPGRj9VhXZAwheOs3R6UfYcIxGwkcziT6XF3+O1yUyIvkBwgjAaQQzFVbojSTbV+bKv++bLgbQQP7Kpnl1tQVxWBX9jI3a3l7I8GxX5DkIWB41dMaoKDRZWefGFE7yxpxNJgiKXDTgcijhcWcG+g9ZgBVRO9hn+8UaIvkBwgjCUIPYVVLfNRCCWJJJQ2VTnyxYoyeyohXQytYfe2Mf+zjAuq8wCDhI9uJe4YqE7bzG7dKjutUM3I9Rp0pE/o3HH9B1wJkoBlVMNIfoCwXFkOJfHUO8PlvGy2R9lU52PnkiKuKZxVmU+kw/tiO19zPqdrexo6sGhaCyQG4h2twPQZpuCKlmoLnKydHohAJv3dQE+lk4vYu2iyn52juTpo++gNVEKqBwNJvKC9BGLvqZp7Ny5k6qqKrxe73jYJBCcMgw1U8742rsjyX7v932v9wx+w+4OuiNJArEUPdEk+30RZpfn8V+v7uVgIE5pno1PzZ+E3azgURIs0nZBKAqyQp3jNAxPOQtL81gzr5wKr4MNuztyXDp9o4OGc+sMJoATxZVzNAR6Ii9Ij1r0b7/9dubNm8c//MM/oGkaK1eu5O2338bhcPDCCy+watWqo2CmQHByMpSfvrY9THckSYHTMmC0zGDvuW0mCpwWSj1WmvwRtjZ00x6M81adj5SqU55vI57SMEd9LEl9iMlIIVnsnLb8MjwJKw6zwu72EL97pyFrW+/NXAMNRkMVOJ/IAghHx76JvCA9atF/+umn+dznPgfA888/T319Pbt37+Z3v/sd/+///T/eeuutcTdSIDhZGWq2m85+mQCMAd/L/Js5/sWdrbz0cWt6ATah0h5IoOnQ3BND1XVsZhlFhriqs6W+m4Xsx2ukSFo8xKecQ2FxKdfMLqHZH+XjvwbY3xlhU52P2y+cydpFaWHfvM/HrtYQPbEUUwocI/LPT2QBhKNj30R5ihmIUYu+z+ejrKwMgPXr17N27VpmzpzJzTffzAMPPDDuBgoEpyoVXgdFrvCh7JdhIONbN5halBao13d38MbeTmaWutnbEeSj5iBdJUkKXRY8djOnT84DJFxWE6dPygcMrGaF3a0hGuOzKLB4USbNptKdXvzN1Lz9+yXV2YpZGWrbw2zc6yOSVJlfkZ/dCAZD++cnsgDCxLdvvBm16JeWlvLJJ59QXl7OSy+9xIMPPghANBpFUZRxN1AgOFkZyJc8UDpiXziRzXf/4s5WuiIJ3DYzVpNMayBOY1eEj1oCVHgdTPba8djM9ERSdIYSeBwmbCaFPJuZIoeMr2E3884+m/kV+byxp5P8wkmYTTKzSt1sqvPRHUniCycocllzRB3Swr5iZhEgZRd4exdGP5WE80Rm1KJ/00038ZnPfIby8nIkSeLCCy8E4N1332X27NnjbqBAcLIykC+5b2bG2vYwYByKlbdTXeSkK5KgK5wW/tI8G7GkhmEYdIbj1JS4sFoUajtDdIUS1Pt0dENndqEJp7oLZyxA08cK7qlnUJKXfhoIxlX2tIdo6o6i6jr+SJLGrnRoZlsgnlMjd+2iKVnbNuzu6Gf/RI5aEaQZteh/73vf4/TTT6epqYm1a9ditVoBUBSFf/3Xfx13AwWCk43ei559a8j29i9nBoCqQgdVhXYafFHCcZXlM4rx2E14nRamFrkIxVW2NnTzZl0nqgahWJJJHjslbhv1vghypIt5kX2gJ5HMVlLOEl79pB1N12lyxZhZ6sZhNuGxm1F1A6/TQk2pm5pSF09va86pkdubgXzhg23AEoPAxGHUov/b3/6Wa6+9Niv2Ga6//nqeeOKJcTNMIDhZyQjjwipvNtyxb8x9bXuYFn+UPW1BDMOgusjJlkNROGdOyWf17GrqfWE27O4gllKZVuQiz2bmo4MBwGBWWR6fPaeKV97aiiuxB0XXMTnz6SheiBU3bnuS1kCUve0hAGaV5TGn3A1IZKJ0MjVygRzf/lDhmr1LL2b6jWdkzFBRQoKRMSb3zqWXXkpJSe4vOxQKcdNNN3HDDTeMm3ECwcnIcDNkSBfcaPJHqPdFCMRSeOxmil0W/JEkzV1R1u88SGNXlJ0tPSRVgwKHBU036IkmkWWJuvYgz6x/mYp4AwBdSgGNltMJdiSZWZbAZTMxy5bHfl8Yi0mmqtDB0umFWTuKXOnEbYuqC/rN8IcS8vTi8+HSi+MdGSN28R45oxZ9wzCQJKlfe3NzMx6PZ1yMEghOJvq6ODI/zf4oT209gD+SAuiX+bIsz0o0qTKzJI9ALMXe9jCGASndoN4Xoak7hqpDNKkSjKm4bDJumxlJMjCpEcpTjSBBLWXUSdOI+5PohkFTVxyH1cS0IgfVRU5MskyRK/3k7gsnqCrsn0WzN8MJed9w0vEU5ZN5F++xYsSif9ZZZyFJEpIkccEFF2AyHT5U0zTq6+u59NJLj4qRAsGJzEAz43Sis/1sa+zBwKCqwMmKmUU5IZm+SJJyT3q2/WZtByldp8LrYGapm837umjtiaIjoWqgA4mUTmmBHQOIp0zUMgtNTbFbLcSk6WAYKJKEx2Gi0usAJBRZpvJQvH06A2eUqkIHm/f5AImpRc5+bpThhPxoRvKIKKEjZ8Sif9VVVwGwfft2LrnkElyuwyOsxWKhurqav/3bvx13AwWCicRoFiYHW7DN7Gjd3RbCMAxml+Uxo8TFlno/H7b0ICFR4bWTZzdnBTme0mjyR5lZksfq2SWE4yqtPVHCSQ390PWKlBgzPTbqIyZ0TeYgRYQNlXhSRZJ07BYFA4Mmf4xKrxObRcEkp8shwuFZtC8cZ+NeH4YBLT2xE86NcjQWj0+mBekRi/53v/tdAKqrq7n22mux2WxHfPEHH3yQBx98kIaGBgDmzp3Ld77zHS677LIB+z/66KPcdNNNOW1Wq5V4PH7EtggEwzFULpyB6Ltgm3HnZHa0zi7LoyzPCki0BWM09aSjc2IplaSmMbs0j9r2IP/1ai3FbgtN3THq2iME4ylcNoWzqrzsaOqhO6oyRfazQq5HP2gmZj6D9qhONAUyYDVJWM0KUwocdEeTJFWdzlCclK6TSBns64jw8sdtLK72smb+pF4uk9yZ/onC0UirMNFTSYyGUfv0b7zxRgCSySQdHR3oup7z/pQpUwY6bEAqKiq49957qampwTAMfvOb33DllVfywQcfMHfu3AGPycvLY8+ePdnXA60vCARHg6Hy3QzEQKmEN+710RVJUOy2smZeOfW+CL96cz/hpEpNsZtyj40GX4RIQmNve4iDgRhJVcdlNSFJoBmwcW8n4XgKl81MntVERbKJBaYWJAl6ZAfRlEE0vUyAxSRx+mQPeXYL50wtoMkfZVujH18kQUtPHE03KHSa0XUIxFLUlKafJHrH459ojPficbra2PBrHScKoxb92tpabr75Zt5+++2c9swCr6ZpIz7XFVdckfP6hz/8IQ8++CDvvPPOoKIvSVI2DYRAcCwZKN9NX9L5adJ++aXTi7K+ckgvPtrNCrIEiizzfmM3Wxq6CcRSaIZBStcJJVRShkEikSKa1FBVnZQOPTEVm0nCblHoisQJJwxC8STLzAeYak7H0dfpJTRYphNTdUBDAkrcVgwMZpe5qCxwsH5nK+2BGF6nlTK3FR2JxdVezIpMWZ71pBC18fb7Z9Y6elcbO5EZteh//vOfx2Qy8cILL2R35Y4Hmqbx1FNPEYlEWLp06aD9wuEwVVVV6LrOggULuOeeewYdIAASiQSJRCL7OhgMjou9glOP4cQkU4VqW2N3NhqmpSeedQf5wgkauiIoisSUAgd1HWE+bAmi6zoFTiut/hid4SSxlEpKBxkds5KJnAcDg0hCJaGBlRTnm/ZRJofRDdiWquSgdTIOZCZ5LBjEMAwDfyRJIKYiIfPKrnbaAnEMwyDfYWLlzBLqOsMsm17EZfPKB72nk8WXPVYmesK40TJq0d++fTvbtm0bt5QLO3fuZOnSpcTjcVwuF3/605847bTTBuw7a9YsHnnkEebPn08gEOBHP/oRy5Yt4+OPP6aiomLAY9atW8ddd901LrYKBH3pPbMHiQZfBIBCp4VdraFsjL0vHMcfSeG2magqdHLNwgrWf9jKm7U+Yimd5u4oCVVHMw7n1NQB49ALCUiqh99baG6hTAmTMmTeSE6nWffgNaC62MXUIieu1iAt/hi6buC0moirGu3BBBgGNrOJcELjw+YA/miKLQ1d2MxKNgyydzjkyeTLHisnW8SQZBhG/7ytQ7B48WJ+8pOfsHz58nExIJlMcuDAAQKBAE8//TQPP/wwb7zxxqDC35tUKsWcOXO4/vrr+f73vz9gn4Fm+pWVlQQCAfLy8sblHgSnLht2d/DHbc1IEtlkZJkBYPP+LjRdR5YkPmoOcHpFHlWFrmwem2Z/lMffPcAz7zfRHU6SOrQ81nuVzASoA1zXgsoKSz3vpyoIYEc3wGmRKfPYMSkSGGlXqNUsUZZnJxBNsd8XQpZkgrEUZpPM6lkleJ0WwnEVm0WhwGlB1YzsxqdMxNGpPtM/EQgGg3g8nhHp2qhF///+7//4t3/7N+655x7mzZuH2WzOef9IhfTCCy9k+vTpPPTQQyPqv3btWkwmE48//viI+o/mwxEIhqOvDx/IhmlmslZ+2OSnsTtKeZ6dacUu5lfkEYipvFffTTCe4mBPlEhCRx/6UpTJQdr0TKqEw5gl0A1QZDCbJLxOG2dU5JFUDQ76ozQHoiiSjEWR0SWIxFQUWeKaRZWcV1PMhj0dFDgtLJ9RlJ3p1/vCZLJpCrGf+IxG10bt3slk1bzgggty2seykDsQuq7nzMyHIlOqcc2aNUd0TYFgMIbL9VLhdbB20eHXT209wMa9PlbMLOKahRXUtoeZWeJiS2M3eVYzBwNxXv6knV0HA0RSg8+3bCaJuJp+X8LgbHMTp5k6eCdZyS6tFLsZYocidFK9/EEei4ll0wpZPLWAnS0BPmz2E4nrmE0G+XYzJW4bJpPMJI+dNfPKKfOkQ6/73lcormZTKQjRP7kYtehv2LBh3C5+xx13cNlllzFlyhRCoRCPPfYYr7/+On/9618BuOGGG5g8eTLr1q0D4O6772bJkiXMmDGDnp4e7rvvPhobG/nCF74wbjYJBL0XLwfL9TL4AqeEYYA/kmTzvi4afGFiKY2/X1INwP2v7mV3a5DoEIIPkDwk+GZUVln2U6GkAxAUST90lcOuH5n0LN+iyJxZ6eUziyup94WZN9lDezDGO/t8lHkcTCtyYjHL/P2S6px8Opn76Z0b/2RbvBQcZtSiv3LlynG7eEdHBzfccAOtra14PB7mz5/PX//6Vy666CIADhw4gCzL2f5+v58vfvGLtLW14fV6WbhwIW+//faI/P8CwUjpvXiZFv4QdR1hZpS4+pUHhNwFzqlFTlp6YoDEG3s62d7sJxhN8fLHbdjMCt2RJOHkcI6ctF/fLcW50FJHvhwnZci8mZxKo+5NL+pqoCjpjofGIioK0ika1u9sRdUNVs8qYUaxm3pfhLOrCyh0WznQHWVTnY8yT26Bc184kc2h3zs/kODkY9Siv3HjxiHfX7FixYjP9atf/WrI919//fWc1z/5yU/4yU9+MuLzCwRjwW0zYVIk3DYTFV4H0ZTGfl+ESV77gHVfe/v1/ZEU7+7vQpHhjAovtR1BDvrjBBOjc3uWyiHOt+zDJqlEDDMbkjUEcGIzGeTZzMRTOqqezqdjGKDr0BVO8OwHzcRVjSXTCqkpdfHizlZCMZVmfwyzScIkSXRHktS2p7No1raH2bCnA5MsMafcLWb2pwCjFv1Vq1b1a+sdq3+kPn2B4HhT7wuzryPM5Hwbi6oLBswp35va9jBv7OkkllKRJWjwhQnGVbojSZwWhdHuZLGT5GLLXkySQafu4LXEDGJYkDCwSGk3TiCWyoZzWkwSJkUikkwRioFy6P3a9jBWk4zNrKR3lUYSLK72cl5NSbYerttmosBpoTuSpMhlE7P7UwB5+C65+P3+nJ+Ojg5eeuklFi9ezMsvv3w0bBQIjjHSIUFNy3WZx8YZFfnZRc/MJqzfbW5g874u4imNhKqhGwbRhIbTasYwdA72xOkMJ5FG+VcWw8K2VAX1qpcXE7OIYQHSgaApDVqDCRIaqHraDZTSDXTdwKooTC12saDKi6bD/a/soTuSxGqWCSVUPHYTa+ZNYvXskuxCbSiucs3CClbPKhGz/FOEUc/0B8qZf9FFF2GxWPjGN77Btm3bxsUwgeB4sXR6YU4BkL4FTp7e1syOA366o0le39NBRzDBPl8Yt1XBLMuYFJkpBU78kRTBWOrwjqohMKFhlTQiRlrgP9FK+EQrQerznKADkpEejuwWKb3gq4OugN2iML3ERXWhk/U7DxJJqMwqy6PS6yCeDDGzNC+7gHs0c94LJjajFv3BKC0tzUmEJhCcqPQVwb51a7sjSexWE6lQnPfquwhEUyR1CMdS6d2vqXS6Y10z0AyGjb93SkkusNSiYPBCYjYpTICERU6Luw5oOkhSeodu5nxJNR0m7XGl/4y7I0neqvMRiCUpy7fjsiqsnl1CU3cUr8NMWZ6VZn9ULNSe4oxa9D/88MOc14Zh0Nrayr333suZZ545XnYJBMeEkeaW8YUT+MJxEimdQCzJ1CInbYE4ncEImWCcpA423SCmjny/Y5EU5gLrPhxSiphhwiUl8RvpP0tVB4dFQtUNHFYTVrMMhkFnKIVBeiCwmQ2W1xRT3xkhGAuCYTC10EWh28qsUjd72kN0R5JM8jpo7onz9LZmrllYcUwFX+TvmViMWvTPPPNMJEmi70beJUuW8Mgjj4ybYQLBsSATvbKjuScrhn1FKrNQK0kQT6VTHpskaA/F6Ru2EEuOPJBhqtLNcnM9JsmgW7fzanIGEcOafV8nvdPWYTERTapEE+Cymih0mumOpJAlcFrNJFM6U4ud+CNJbBaF7miSSEqj3hfGdKgy1vIZRdkdwpnInWOFyN8zsRi16NfX1+e8lmWZ4uLicSmqIji1GG6367GgptTFjuaefmGMvUWqptTFylnFgMGHzQF2NPsJRFNkojAV6XCs/DB7rg5hcKaplbPMBwE4oHl4IzkNFaVfz3RufDWb0Sea1DDJEiYFLLKMLEns84XJs5mxWtJ5dZr9MaqLHNlSiNcsTCcjdJgVgnI6FHUwxmtW3vs8YqPXxGLUol9VVXU07BCcggy22/VYUuF1ZNMl9C66nYnTz+CPJKnrCNMZjqPqoPaa0Gsj9+YAcEYvwf8oVcpWtQJjmMBOA8izytgtCkkNbJKM12HFYzczvdjFjBIngZhKgy+M02pOl1RMqGRWkWvbw+xsCWAY6RQLfTm8SStOY1cs+9mMld4D5+rZJWKGP4EY00LuG2+8wY9+9CN27doFwGmnnca3vvUtzjvvvHE1TnBy01tkj1VJvoFmsplFzUwqAl84nQN/U126OMkftjTx+t52YkkdTdeJp4xhF2eHYq9azAyliw/VMmq14kH7ZWb3ACYJppW4uGB2Ka/tbsfrsOJ1WpjSayZf2x6mushJY1cUm1nBZlYO5c9J328mC+hAn3NGpKsKHTn1fMeKmN1PXEYt+v/7v//LTTfdxNVXX81tt90GwFtvvcUFF1zAo48+yt/93d+Nu5GCk5PjEUHSN/xy/YettAVjrJk3KRu7Hoglebe+iwKHhXpfmI+aAwSiKinNQGb4aJyBsJEiTjojbQwzf0rMRR9mm4wBFDhMlLhtyDJcMLuUus4wmg7FLiuTvHaWzyiiwutgw+6OQ6Jt7yfamQFuqBKII6kKNhpEdNDEZdSplefMmcOXvvQlvv71r+e0/+d//ie//OUvs7P/iYpIrXziMZ7RH73PtXlfFw+8tpdwXOXi00q57cKZ1LaH+Z8Ndexs6cFulpmc78AfTXEwEB9JuP2AVMo9rLTs5+1UFfu1wiH7WhXonbEhz6ZgM8vUFLuZVe5mT2sISZaY5LFjsyjMm5xHkct2KB1yhL4pnkXEzKnBaHRt1Dty9+/f36+2LcCnP/3pfou8AsF4kJmdZ2rNjoaMy6bZH80R/LZAnJc/biOR0g9Fokm0BeK8uLOV1p4oum6ki5N3hGgNjlXwDU43tXGBpQ6zpDNV6Wa4nVpOqwmvXcEsQ75dwWVRCMRSBBMqZXl2vE4rM0vd2aInIGV31ha5rDR2xahtDx/RZzYYvT9LwYnLqN07lZWVvPbaa8yYMSOn/dVXX6WysnLcDBMIMozWPzxQamRfOE5LT5ym7igeu5mm7ij7OsN47CbKPG7mV3h4aGMdm2p9qKqBxSSRUA3UMTrvZXSWmhuZaeoCYJdazLupSvoWQOlLNKmR77Cg6ga6nk6xIEsysaRKIJaiJM/KtCInvkiS5TOKKPPYsruH2wLx7AJ07zz548VgoZdbG7rZVOfLVgQTTGxGLfrf/OY3ue2229i+fTvLli0D0j79Rx99lAceeGDcDRScevR154zUP5w5rrY9yIfNQVbOKmbp9LQ7xRdOcKA7SktPlIMBiURKw6RIWEwyyZTOh80B9rSGiKeM9FxcNZB7r6SOAispzrfso0xJFy1/L1XJLq2E4QQfQNUNokmVREpHUWBusQddMlBVg011PqxK+uHcYUkvfi+qPvzZ1LaHUTWjX/t40OyP4gsnqCq09xtINtX52FSbXvQWoj/xGbXo33LLLZSVlfHjH/+YP/zhD0Daz//kk09y5ZVXjruBglOPsW7myRwXTaqkE78aOZE5u1qDtAYkKvMdgEFTT4xwXOVgIEowniIYT6EcSnWQMhiT4JvQ+JR1N3lygqQh83pyOi16/3xVAyEd+oknNQyg0GXlm5fMosxjY/2HrWys7UA3oCzPRk1p/zTIRzNiprY9TGNXlIVV3n6/k+GykAomFmMK2fybv/kb/uZv/ma8bREIgJGLV98ngppSF75wAn8kQVmeDZDY2tBNvS+CP5KkPRinJ5KiMh9mlLhp8cdo6Y7SE1OR5QSKBKPIoDAgKgr1mpdpdPNqsoYewz5o374PEhLgtpsxyxKyJHHlGRW9EqS5ae6JUeC0sGZ+eU6Iae+Q19WzS47sBgZhqN/JouoCMcM/gRi16G/ZsgVd1znnnHNy2t99910URWHRokXjZpzg1GSk7py+4ZeZRctgPO26CXZF2VLfzQcH/JgUGQODznCct/enSOkaB/xpwddJFyHpv2Vp5ChoaId21L6vTuYjtYzkMH9eBulIivQyMlhNYDfJBOMpSvNsWQFPu1bizJvsySlUfiw3t4kQzJOHUUfv3HrrrTQ1NfVrb2lp4dZbbx0XowSCkVBT6srGpB8eAAyqCu04zApVhXYiiRSBeAqTIlHksmCRFZKqzp62EL5w4og2WUG6aPk55gNcat2Lkj2bNKzgw2HBVyQozbNyxRmTKXBZSWrpyKFNdT5e3NnKfX/dzQs7WtlU10lbIA4cHgiqCtN5dcZjQ5Xg1GDUM/1PPvmEBQsW9Gs/66yz+OSTT8bFKIFgMAZa5AVoC8SJJlP4IybAYMPeTlyWdBRLdaGTYpeVmKpRnmejrjPE3tbkEc3soX/R8klykCY9f8THG4BZBkWWKHRbuGzeJFbP1njm/WYsSrqs4Usft7K/M0JC1eiOpncJL6ouOORjj7GwyitcK4JRMWrRt1qttLe3M23atJz21tZWTKZxS88vEAzI5n1dvLGn81BkzuENSKG4SmcoSUcwicOisLc9SCKls7i6kGUziugKx/mwOUpTd5Rg4kjn9wMXLR+N4MMht44ExXlWzq4uzM7UbWYl66ePpzT2tIcoclqyYZog0hwIxs6oVfriiy/mjjvu4LnnnstW0erp6eHOO+/koosuGncDBYIMmQicWCqdSGzzPh8b9/qYNznvUB4aO7GUjt0sYzebiMQTvLe/i5aeKLGkRlsgPua4+970LVr+WmIGXYZzRMdmInQUOV1b2sDAZTWzZl55TjqF3m6r5TOKCMVVVvVKXCZ87IKxMmrR/9GPfsSKFSuoqqrirLPOAmD79u2Ulpbyu9/9btwNFAgOZ4BMoOoGVYVpgfVH0sXB6zrCxFI6xW4Lqg6doSQ1xW6C0SSRhE5zdzQnSdoYw+8BqJL9rLTsR+lTtHw4TBKH8t8ruG1mJnvtdIYSBGIqhm5Q74uwqLqgX5WuDXs6CMSSeOzpawihFxwpoxb9yZMn8+GHH/L73/+eHTt2YLfbuemmm7j++usxm81Hw0bBKc7hDJB25k32sKs1wM6WIPMm5/G3CyuobQ/xYXOAsjw70ZTGex3dtPqjuO1mTIqGqhnovcqdHElUZrdhJ4XCAdXNm6nqbMTOUMiAwyojI2FSZEyyTFI1mFLoRJEkogmVXa3BnFKGmc1QJllCkWUKnBbhyhGMC2NywjudTr70pS+Nty0CQZbBinDUtodRdShwWlg6vSgbn19T6sZtM/F+o59QPEVXJJkuL4hEMHGkS7aZoEoIGTaeT8whbFgYboetVUnn0gFQZBmnRSGUUIkmVSZ57djNMtGEjiTDwZ4YT29rZvmMIup9EbbUd9MVSXLO1ALOqyk+osRpolyhoDdi5VUwIelbhANg8z4f/kiKeZPzsoKfYWtDFxv2dBKOp+iOpIgmNeIJjeQR2uGUkpxvqeP91OTsztpwr5KGgyGR3tlrGJBnNxFKaKQ0HYsiM9lrZ0VNMa/uaqepO0q+w0JKNzjQHWVTnY+69jBN/ghWRcHrtBzxhitRrlDQGyH6gglJ3+iU2vYwG/f6MAz42z6FvWvbw6zf2UZLTwyzLKHqOjocseD3Llq+xHyAZxKnD1vhKoMEWEwykixT4rZjNSfxh5MkNB2bWWZBlZdALIXFJOGxm7GaTUw5VMvWYVZwWBRmlLiyuYNGw0A7lUFE+gjSCNEXTGjaAnFq28PEUxrFbgt2s0JtewhfOM7UIhf1vjANvggWk4TNLKHrBrqRW7d2LFQr3Zx3qGi5X7fzSnLGiAUf0oVWNN2gxGlmdrmbSq+DHU09fNwawNA5lBStAEmSqCq0U+SyZUU6FFcJxlVqSt1jmpn3ndmLSB9Bb4ToCyYkvZOndQQTlORZcVjMmBSJD5sDSBK09MTZ2dzDge4oiiThsJhpCyaO8MoGZ5haWXCohm2T5uH1QYqW90YG7OZ0QGZM1dENSGkG7ZEELT0x8mxmkprGeTXFzK/w5KRCnlrkYlF1QU4unSPZYStm9oKhEKIvmJAcduuE6Awlspkl4ymNYCxFWZ6NhKpR3xnBbJKZX5HP23WdR3RNCYPzzPVMN3UDIy9anj72UO572cBukjEMA5MiUexM7wje2x7ko5YgDqspW7awdyrkzOtMjP6R+PHFzF4wFKMWfa/XiyT1/yOQJAmbzcaMGTP4/Oc/z0033TQuBgpOLXr7o1fPLqGm1IXXacEfSeILJ2jwRfioJYDdrLD1QDdd0SSleVbmV3h4dVfbEV3bAFRkdEPi7dSUIYuW9yWdTkHGYpKYNzkfXySBLMlUFabFd35FPg6riUvnlmfvs29+ejFDFxwLRi363/nOd/jhD3/IZZddxtlnnw3Ae++9x0svvcStt95KfX09t9xyC6qq8sUvfnHcDRac3Azkjy5yhdm4t5NIUqUtEKPFH6OpO4LbaqbQYaHAbuFHf91NT1wb5uzDIbE5NYW9ajG+Ee6wzSAr6YVbl81MQtfx2i2kNINALMXethBnTcnnqjMrsoLeO52E2GUrOJaMWvQ3bdrED37wA7785S/ntD/00EO8/PLL/PGPf2T+/Pn813/9lxB9wZAMFD/utpmyJf8yuG2m9CJuXKHFHyOW1IgkNbrDSUrybDR2R8cs+JVyDzNMXbyenIaBhIE8YsG3yJA8tM03mgKTomNWAB0cdhOLqwto8kdpD8aJJLQ+YZNGttCLQHAsGbXo//Wvf+Xf//3f+7VfcMEFfPOb3wRgzZo1/Ou//uuRWyc4qRkofjwUV1G1dFqCdGROlHfru+iJpJhV5ibPZkJRJFIpAxVo7omP8eoGp5vaWWRqRpJgttJ5qKTh8DgtkFRB76XXJsDrsFDqsaNIEh2hBIFYikRKw2FRqC5y5izOLp1elI3YEQiOJaPOp19QUMDzzz/fr/3555+noCCd4jUSieB2u4c914MPPsj8+fPJy8sjLy+PpUuX8uKLLw55zFNPPcXs2bOx2WzMmzeP9evXj/YWBBOE3vnw+7aBwca9Pp7b0cKHzT0c8Ed4p76LFn8MVTOwKIfz0Y92riyjc665kcXmtODvVovZrY281J/LZsFlNSHL6Xw6MukNWJUFDlbPLGGSx0Y0obK3PYQvkgQkYik154mmwutg9aEEapmonWZ/dJR3IhCMnlHP9L/97W9zyy23sGHDhqxPf8uWLaxfv56f//znALzyyiusXLly2HNVVFRw7733UlNTg2EY/OY3v+HKK6/kgw8+YO7cuf36v/3221x//fWsW7eOT33qUzz22GNcddVVvP/++5x++umjvRXBMWQgV85gPmxfOMGHTQH2tofoDifQdTDJEE9phGMpUvrYk6ZZUVltqaP8UNHyLalKPhmiaLkMWM3pdMcp1SDfbuaMSi/7fRE6gjHsFgVNB4sioxnQFoxhNStUFzlYObMYq1lhV2sAVU8/2Qx0v2LHrOBYIhmGMeq/nbfeeouf/vSn7NmzB4BZs2bx1a9+lWXLlh2xQQUFBdx33338wz/8Q7/3rr32WiKRCC+88EK2bcmSJZx55pnZAWc4gsEgHo+HQCBAXl7eEdsrGBm9UwYPFI7Y7I+yeV8Xu1qDNHRFaPZHaemOEUulneYOS7pubFLVGet6bZ4U5yJL7aiLlltkCYtJwjAMqovdXHnGJOo6wofeNdjRHECRJQqcZgw9HZ9f6rFx9YIKVs8uGTb3jciNIzhSRqNrY4rTP/fcczn33HPHZNxgaJrGU089RSQSYenSpQP22bx5M9/4xjdy2i655BKeffbZQc+bSCRIJA5v2AkGg+Nir2B0pIuWx/GFE9lskr3FrrY9zBt7OumOJnBaTJwztZDm/BjbD3QTjGvEkukY+NQR5MNX0LFLKUK6Zdii5b1J6QbJZHpudNAfZfP+LmRJ4tLTS3FZzTT6o6RUHatJodCZTsQ2o8Q5qsLuR6uguUDQlzGJvqZpPPvss+zatQuAuXPn8ulPfxpFGT7NbF927tzJ0qVLicfjuFwu/vSnP3HaaacN2LetrY3S0tKcttLSUtraBo/PXrduHXfdddeo7RKML+nQS1u2ji1IWbcHpAeF+RUetjR00RmKs68jTEWBnQKHhXAsRgrQjrAAit9w8GpyBn7dToKh04BnFrt0DruRZCCe0qntCDEpzw5INHVHiCc1KvIdrJqdjutv7IpRU5qXHdie3tZMdySZ/RwyCLeO4HgwatGvq6tjzZo1tLS0MGvWLCAtrJWVlfzlL39h+vTpozrfrFmz2L59O4FAgKeffpobb7yRN954Y1DhHy133HFHztNBMBiksrJyXM4tGB2Zma8vnOCNPZ3EUipVhU584Tgt/iiv7WnHpig0+2P4Iin2dx3ZwqaEwSJzMw2al049fe02fWQuvb7ji0WW8NhNIKXz+hS7rbisJl7+uI1ANMXCKhtrF02h2R+lyBXOSRTXHUkOmA9fbMYSHA9GLfq33XYb06dP55133slG63R1dfG5z32O2267jb/85S+jOp/FYmHGjBkALFy4kC1btvDAAw/w0EMP9etbVlZGe3t7Tlt7eztlZWWDnt9qtWK1Dp8KVzD+ZNwXmXqvGTfG1oZudrUGKcvLAyQ27vXR5I/Q4Iui6wbR5JFussotWj5N6eKP8XnD5s8xyfQrp2gCvE4zBU4LbruZaEIjEE/RGU6wpz2E227mjCn5rJmX3mnbd3G6t7D3nc2LzViC48GoRf+NN97IEXyAwsJC7r333nHx8+u6nuOD783SpUt57bXXuP3227Ntr7zyyqBrAILjS8Z9YVIk1EMpLyu8Dup9Yfa0BtnZrJNQdQLRJIYBiZRGTD3yzUouKcFFltps0fJ3klXDCj6A3kfwFQlcVoWzpxVSmmdjT2uQMCpTixysqClhQZU3O5gNJt5C2AUTjVGLvtVqJRQK9WsPh8NYLMPXCu3NHXfcwWWXXcaUKVMIhUI89thjvP766/z1r38F4IYbbmDy5MmsW7cOgK997WusXLmSH//4x1x++eU88cQTbN26lV/84hejvQ3BUWKgile9Z/ppJDrCCdqDcZKqlt7oNE7XH23R8t6hn71tsCpQ4LSS0HT2d0YozbOR77QQTqqsqCnmSyun59wvCL+84MRg1KL/qU99ii996Uv86le/ysbpv/vuu3z5y1/m05/+9KjO1dHRwQ033EBraysej4f58+fz17/+lYsuugiAAwcOIMuH948tW7aMxx57jH/7t3/jzjvvpKamhmeffVbE6E8g+la8qvA62NrQzY7mHuIp7VD1qyQXn1bKJ61BtuzvJj5Okj9D8bHM3DiqouUmCVJ9Hi6cZpnZ5XksmVZILKXRHozT4ItQ5LIypcCJ13n4nGIxVnCiMeo4/Z6eHm688Uaef/75bCF0VVX59Kc/zaOPPorHM3zc8/FExOkfXQaKOb/7+Y/4y842NE3HaTFhtyosm15EStP547ZmokcSh5nFYLVlP9WKn3rVO+Ki5ZCOytFJz/ploKrIwbwKD3+/pJpF1QU8tfUAG/f6mDc5j5rSvJx7EzH2gonAaHRtTJuzAGpra9m9ezcAc+bMyS7GTnSE6B8dBhK/rQ3d/HpTPTua/bQHEqgGOMwSXpcVqyLTGY4TjI+XYwdMaMxQutitFTNc0fIMFhlsFhkMCYtJpjTPxqR8O267mSkFDq5ZWAGQc28D3asQf8Hx5KhvzgKoqamhpqZmrIcLThIyYucLx2nsigGH3Ryb6ny8sbeDaFI/FJkPZR47UwocbGvsJpI8MsF3kGSmqZPt6iRAQkVh9wiTpkF6Vj+j1EVPNIXLZuKGJdVYzQoNvgg7mnto74kxOT8dipkR+6e2NrGrNYiqH16YBuHmEZw4jEj0++6CHYr//M//HLMxghOPjNhVFTr6JU9bPqOIF3a00NgVRdfT+eZL8qz4Y8m0F/8IAnWKpAgXWOtwSClUZD5Sy0d9jkKXiSkFTtz2JJPzHUw+JNYb93YSiqWwmhVA6jWwHd5fMK8iv1+iuN7/CgQTlRGJ/gcffDCikw1UUUtw8pIWwxDRpMrUIieLqgty3qv3hblkbjk7mv0c6I4SS2jsbg2hGZBM6ow1Gr9v0fJ6rWD4g3ohSzA538bpkzzMKs9j+Ywi3m/s5sWdByl225hS4MBuVphR4mTp9MJeA5udlbOKAYOl04tyZvQiNFNwojAi0d+wYcPRtkNwAlLbHmZnS4BIUmVTnQ8gG5q5eZ+PRzY1EEuqnDezmEkeO2/W+uiOJMYs9mMtWt4Xu0nmM4sqKfPYyPj+P24NsuNADyVuG8tqirBZlOwC81AbrASCEw1RGF0wKvrG4a+YWcSu1hDdkSQ/+786drcHWTKtEK/DQiieIqnp1PvCNHXH6AyOXfAVdM41N4y6aLlJAkmClJ7ebOW2yhS4bGgGFLlsbNjTwaa6TnoiKfIdFhZP9bJ8RhGb6nwc6I7yyKZ65pS7+83sBYITFSH6gmHpmw0zs2BZU+qiyGVjzTwXobjKfX/dTXckyY4mP2dOKaC6yInHbqahM0Jjd+yIbPBKUaoV/6iKlkuAokjomoHDLDMp386VZ07CH03iMCvp0oyyRGcogdOqML8on0XVhSyqLqDMY+Ppbc182NxDZyhBkcsmRF9wUiBEXzAsfYUe0rtsM9kjV88qYfXsEj5q6eH5Dw+yoNJLVyRJTyxJOK6yz9d/B/do8RkuNqWqiRrmESdNs8iQZzPhsChUFjiZVuzi9Mn5AGxr9FPviwAGdrOJxVUF1JS6s/dX4U2Ha07OtwPGqNIki8FBMJERoi8YlN4J0zKROZkFyw27O/plj7SaFPJtFnQDuiIJ6tpDqCqoY7x+pdxDyLBm897v1wpHdbwBOMwK50wtZEaJC5DwheNMLUqXZPSF46g6zKvwZPPo9L33pdMLRyTiImRTcKIgRF+Qw0CunKpCB0UuK22BeHYQ8IXjVOTb8DrT7Zv3+fjj+000+CLs90XQMUioY43KPFy0PGxYeD4xZ9j891ZFwmUzEYimyORsUw0IxlVAIhjX6AjGaOiKcuGcUr60cjpbG7pp6YmzfEYRobiaI9qjFXERsik4URiR6P/5z38e8QlHm39HMLEYyJXjC8dzsmVGkyoNXRGSqoZupEMg23riNPmjJDRIHCoYMhZkdJaaDzDTlI4GatE8JIeJzrEoYLdIJFIakgSKAWYTGDqYlHT59Dybie1NcdqDcdqCcQDqfWH2dYSZnG9j6fSi7D03+6P4wnGqCh0jFnERsik4URiR6F911VUjOpkkSWjakedCFxw/evvse0fpFLnCtPijbGnsJs9qpiucoCOYIKnpGIZBOK6h6Yfz2IyFgYqWN5vKMYY4o1VKL9iG4zqKBFaTRJHLRoHTQkcoQbnHjmrAx60BXFYTZx7Kfd/sj7KrNUQkmX4S6C3aG3Z30NgVY2GVVwi54KRjRKKv9000LjjpqfdFaOyK4gsnKHJZqSl18fS2Jt6u8zG73E2J24YvmCCp6hiGjqYbIIFZhsQYxn2PFONCS12/ouWSpg85kCQMUHQwDLCZZSwmmVBCJa7q2M0yZ08twGySaeqOMrXcxTULK7JrEqpuML8in6XTc9cKhKtGcDIjfPqCHHrvPs0sdm7Y08GO5h4OdEeIJFQafBHOqPQSTKQIJfTDOekNGOuD3gJzC3lyol/RcoPh1wUMA8wKzCxxoRqwryOMbjJwWU3sbQ9x9YIKzjiUNiEzc+/9RLP+w1bagjHWzJvEouoC4aoRnNSMSfQjkQhvvPEGBw4cIJnM9d/edttt42KYYHjGO0ywty87M/v1hROYZOiOJJlS4KS1J04kobGt0U8okZ5/H3mtK3grWY1qbmJLqoL4EIu2CqAooMgSKdVAPST4hW4rl86bxJaGbhq6opTn2yhwWqltD7GloZvvXDE35zy9o5Be/aQdfyxJnt2Sk0piIERopuBEZ9Si/8EHH7BmzRqi0SiRSISCggJ8Ph8Oh4OSkhIh+seQ8Q4TrG0P5/iyM3nk8x1mgvEUkzw2zIqMP5IicoR1bCUMpsg9NOpeAJKYeDM1dchjzDK4rCYsZhmJdIgoGBS7bVx8WhkLqrwEYiliKY0zKvIBg6SqU5Y3eI3kmlIXF55WSlswxvIZRcPaLUIzBSc6oxb9r3/961xxxRX8/Oc/x+Px8M4772A2m/nc5z7H1772taNho2AQxtv3nA7TDPHizoPUtocIxFI0dkfY1aqS0gy8TjPBWAqdtEtlrPQuWv52cgp7RpgOOaVDQtUoz7eR77BQke9g8dSC7FPJI5vq2dUaxGU1EUqozJucx6LqwiE/nwqvI1v6cCQIf7/gRGfUor99+3YeeughZFlGURQSiQTTpk3jP/7jP7jxxhu5+uqrj4adggE4Gr7nLQ1d7GgOsLs9RKHTQrM/ilmWkCWZ5u4osZR+RO6c3kXLVUMmbgwdf9+XlGaQVA2sJpmuSAJ/JElte5ja9hCb93XRFYlT6XUyd7Inmy+n2R9lw+6OcXHJCH+/4ERn1KJvNpuzdWtLSko4cOAAc+bMwePx0NTUNO4GCo6c3jtrM1kw+wpXsz/K09uaaeiKkUipFDqspDSdZErHajOTSGl0x3L31o42PHMkRcv7nlMCKr02okmNlGagyNAZSpBIaRS4rNR1hAnGVaJJFbMiUei0ckZlfjZKB4RLRiDozahF/6yzzmLLli3U1NSwcuVKvvOd7+Dz+fjd734nCpRPUGrbw2zY00EglsRjP1zUe/O+LsBgapErm1XSaZFx2SyYFFhQVcC+jhDBeIr4AFWurCaJmDqyeX/vouU+3cGrgxQtz9SqzVTaKnFZWDy1kMoCBx8297CvI0xcVbFbFYxDzxx5NgXDMJhdlseMEhdr5pfniLtwyQgEhxm16N9zzz2EQukEWj/84Q+54YYbuOWWW6ipqeGRRx4ZdwNPZcYrUqSm1MWO5h7CCTWbK6e2PcwbezqRJNjVGqKhK0J1oZN/XDmDZ95vJpJU8UeTKLJELJkOy7SZ07tcM3H4IxV8jxRjubkBSYJ6zcubycGLlmfDP0mnQpZkCUWS6AonaAvEwIACh5VpxS4CsRRN/igum4nOUALDAK/TQm17OHu+zOe3evbIyygKBCczoxb9RYsWZf9fUlLCSy+9NK4GCQ4zXm6JTMbIvgPI/AoPbcEYdrOC02KiLM+GzaxQ5rGxYXc74bhKidtKTzRFUtXRtPQC7mjdOgHDzla1AjMaHxyqZzsSFBnyHWYiCZVN+/zoGpTlW7FbTARiSXzhJFaTTFmelTnlbjJDRuYzA4RbRyDog9icNYEZT7fEQAuQ0ZRGIKYSjmvYzTJ1HWF2t4fY3xlKF0BRDWaWuXFYFOJJfVTZMh0kkSSDiJEOl/xILRvRcXZzOv5elmFBlZerF1Sypb4LyUgL/j+umMGe9hDv1XdhNcksrCpgzfxJ2Xtr9kcpcoUHrF8rEAjGIPpTp04dshbu/v37j8ggwWHGM1Kk72JubXuIjXs6aA3EMQwDr9OK12mmJ5qkI5ggoemYZB2nRcFuMaGTGvG1MkXLE4aJFxKzR1zO0GmW05uuJA2X3cTqWSWsXVTJ1CInk7yObBz9loZuzqrMp7rImU2U1js6p2/tWoFAcJhRi/7tt9+e8zqVSvHBBx/w0ksv8a1vfWu87BKMExmx94UTNHZFiSZT7G4L0RNNEoyrhBMqsgQzXGZmlrp57ZMOuqMpdAPiKZXGriglbuuIK1/1LlqeMExY0IYU/XQOzHQZQ5fVjKJIODUT+XYzgZjK/a/uZVapmzMq8ntVswqwvKaItYumAGnBF24cgWBkjFr0B9uA9bOf/YytW7cesUGC8SMThtkdSTJvch4Lq7z8eUcLO5p6sJgU5k7Kw1NhBgPOqMynssDBxr2dKBz22Td1Ryl09Y+y6U//ouVvJKeRGmLB1mNXUHUdk6xw1hQvJgVcFjNmRWZGiZO6jjAfNPXwcaGDWWUegOxsv/fuWRGdIxCMHHm8TnTZZZfxxz/+cbxOJxgjmY1Izf4om/f52Nncg0mGpdOLWD27hM5QAl0Hm0lmRU0xd6yZwxmVHl7d1c6G3e2U5NkpzbfhOLRnKpLSOeCPD7j0mmlT0Flhrs8K/kdqKa8lZwwo+A6zjMsiU5Zn4dK55RQ6beiGzkF/jKbuGNubevBFEtSU5mE1K4TjKi6bmapCO75wgs5Qot85K7wOVs8uEbN8gWAEjNtC7tNPP01BwdDJqgRHn0xM/o7mHhxm5VC6hMOSfUZFPu2BOBVeB+/s76KuI8zBQIyWnhiGYWBS0sVIUn1WbTNx80afNoBzzAeYbupGNyQ2p6awd5Ci5Xk2ExVeG8FYimjKYHdbELtFIRiTCcZTqIZBntVEkdOKL5wgkdJx2Ux4HWaKXDa2Nfpp8kdo8aeLoAyXHE0gEPRnTJuzei/kGoZBW1sbnZ2d/M///M+4GicYPZmY/O5IksmT85hfmU/3oVQFANVFDtYuqqSuI8y7+31sa+ymwGFF1w3qOsLEUirxQcJ0BovK356aRIkc4Z1U5aBFy01SOkT0s+dU8YctTWxt7KIzlODMSi/Ti120B+PohsGMYjcAL33UyuwyN5fPn8TyGUWUeWwAzJ2Ux5720IiSowkEgv6MWvSvvPLKHNGXZZni4mJWrVrF7Nmzx9U4wdAMtHmrb0w+wOZ9PnzhBL5wnJ0tQQKxJIosowMJ1UA1dBRFIhLVSI4wLtMtxQkZaSGOYuHZxGn0jb+3KDDZY6elJ4YkgcduxmZWcFhldAOC8RQFLgtmRaYnkmRWuZs55R5e+qiNUEylusjF2kWV2fNl7vGyeeVH9sEJBKcwoxb9733ve0fBDMFY6Lt5q/cgsHp2SfY1SGze30UonsRrt6DIMq09MQLRFDazxIxiN/lOM2/v6yQYU4mlhtppmy5avtDUzBupaTRoGReL1N/9o0FPPIksg6bCu/u72NMaxG41YTOn/f1tgTiabpDSDeaUew5lzEw7k/pWtBIIBEfOqEVfURRaW1spKcnd1t7V1UVJSYmokXsM6Ru10ncQ2LzPx8a9PuZN9qDpOm2BBF67hXy7iY17QoQSGhKwo9lPvsOS9uMbBlYTJAaY8fctWl4qh7Oi31fwZSAF+KOHvw/d0RSBWAqTkk6lcGall6XTC9nvi1CWZ2Pp9EIqvI5sKOZAZBaoM4OCWLwVCEbHqEXfGCSReiKRwGIZSWifYKQMl3un70ak3oNAsz/Klno/tR0h7GaFS+eWs6c9hMOs8G59F7IkoQAa0B1VCUZVMvI80G94oKLln/TKg9/7GJMEVrNEJGkgA7IEmgFOq4xJkokkNMKJFDVlbiZ7HbQFE9SUukck4LXtYTbu9WEYUOSyCtEXCEbJiEX/v/7rvwCQJImHH34Yl+twTLSmaWzcuFH49MeZ3pE4vVMFQ/8Boe/rDbs78EUS6IZBU0+UPe0hrllYAUBdRwin1YTLZsIXjhNP6VhNCpIE0bjWL91C36LlbySn0azn5/SRgEn5Nmwmmc5wEhkDq5IeRsyKhIFEpdfJudMLeWtfF6Vua84C7Uhj7GtKXayYWQRIIi5fIBgDIxb9n/zkJ0B6pv/zn/8cRTkcg22xWKiurubnP//5qC6+bt06nnnmGXbv3o3dbmfZsmX8+7//O7NmzRr0mEcffZSbbropp81qtRKPx0d17RMBty2dWCySUKltD+eIfl9XTt/XNaUuLju9nAZfhL3tIfa0BvmvV2tx2RRSuoGBgVVRyLOaMYwUum4wd1IeTf4YnaEE2qGpu40Ul1t3Y5W0fkXLe2MAmqZT4nXQGoij6TpWs4IiScgyRJMakXgKzYDzZ5eysMqbDbkczWx9OPePQCAYmhGLfn19PQCrV6/mmWeewev1HvHF33jjDW699VYWL16MqqrceeedXHzxxXzyySc4nc5Bj8vLy2PPnj3Z10PlAjqRCcVVPHZLNh1yb9w2EyZFwm1L/wr7+vcrvA6WToeWnhiKLNEaiKc3aplk8u0WUppBOJ7e6BRP6aR02NkSoCTPhiKDrqV35cYws1ctokSO8H/J6UMWLW8LJUGKYBgGugEWRcbgkEvQMAgnVVKahkkxE09p41bNSiAQjJxR+/Q3bNgwbhfvm5b50UcfpaSkhG3btrFixYpBj5MkibKykWVtPJHpLeR9hTEUV+mOJFm/8yD1vghLpxfm5Ixv9kezNWMVWSKuatgsJqYWOVg5s4Tndx6kri1MNJnOswPp/PihuIrLqhCKJkge+npsUyuQMNBHsIE7GEsiyWBTFMyKRE80RUozMCsSXns6PFPVDPa0h1APPU4M5rZqC8TZVOdj+YwisRFLIBgnRi36f/u3f8vZZ5/Nv/zLv+S0/8d//AdbtmzhqaeeGrMxgUAAYNidveFwmKqqKnRdZ8GCBdxzzz3MnTt3wL6JRIJE4vDW/WAwOGb7jjV9F2p7C2LG9dMZStARTPZb1KxtD/NeQxct/hizy9wUOixIssTi6nQYpFmWMSSIq7mLsOFojFXW/ZgsOi8lZ6IjI5H2yY8ETTNwWE0UONMCH4ypgIHTamZBlZeyPDtep5mpRS5CcRW3zZQz4+/tptrR3MOm2nSkkBB9gWB8GLXob9y4ccBY/csuu4wf//jHYzZE13Vuv/12zj333CHLLs6aNYtHHnmE+fPnEwgE+NGPfsSyZcv4+OOPqaio6Nd/3bp13HXXXWO262gw1opYvQURQJFlZAkcFiXr5snQ4o/S3BUhrukossTM0jze3ufjD1ub6IkmiaZUdMPICr4EOKUEF1pq8R4qWl4gRQngosBtpTucQNP7F0+RALMCKS0dpilJoOk6wbiKVZEoz7eR77AwpywPs0nm/QN+rGaZqUXpvQS9M2QC+MJxqgod2YENELtvBYJxZNSiHw6HBwzNNJvNRzSLvvXWW/noo4/YtGnTkP2WLl3K0qVLs6+XLVvGnDlzeOihh/j+97/fr/8dd9zBN77xjezrYDBIZWVlv37HkrFWxOrrt59S4CAQTRJNaoR65U5o9kd5+v0m4irkOSx89pxqwokUm/d10eQPk1Bz985KQJkcYtUARctNEljl9GKsRZHSfv5Dm7cUKV1JK6mBRU6vMyTUdJXbGSVOXFYTJlmmPN8OGPTEUrQFYvREVQqdB1lUXZBzT7XtYRq7Yiys8mY/l0xKZYFAMD6MWvTnzZvHk08+yXe+852c9ieeeILTTjttTEZ85Stf4YUXXmDjxo0DztaHwmw2c9ZZZ1FXVzfg+1arFavVOia7hmOsM/bxSAWcSbcwOd9G3/DF2vYwiiRT4DJzwaxSmrqj1HWEsJulbJoFA7I5MKcpPpYOUrRckSXaQ/F0XVwTVHrtxBIaoUSKlA6xVHrurxlgt5gwm9KiX+l1snp2CS993Mr2Jj+aDgur8pla7OKdfV2k+vjzMwVeFlZ5B91sJhAIjpxRi/63v/1trr76avbt28f5558PwGuvvcbjjz8+an++YRh89atf5U9/+hOvv/46U6dOHa05aJrGzp07WbNmzaiPPVLGKkqjqYjVe2AZ+Hp998KmB5Przp7Ch009bDvQzSu72lBkmUTq8O5YswR2q8JsuZ25RgOQLlq+KVmdU/TEYZGRZRlTSsNhUXBYTHSEEqQ0HSQJ66GuipyuemUzm/FHk3x8MEBC0zDJMoUuC5oOc8o97GoN4LKZSPSK3snc18Iqb85itMiTLxCMP6MW/SuuuIJnn32We+65h6effhq73c78+fN59dVXWbly5ajOdeutt/LYY4/x3HPP4Xa7aWtrA8Dj8WC3p2PBb7jhBiZPnsy6desAuPvuu1myZAkzZsygp6eH++67j8bGRr7whS+M9laOmPEUpYGeGjIROI1dES49vSxbGjCz4/bpbc182NSD02oCJIpch8shTi1y8os39rGvM4JJhjy7GbtZxiRDSgezSUIGWvQ8ZqCwSy1hhzoJi0lCMUjP7IFYUqeqyE6x20I0oVLvi6JqOrIkM6XAgdUis7iqAM2A+s4w25t6iKs6wXiKREpnarmL5TOmEIqr1JS6mFrkJM9uwWGWswPYYJ/jeJaLFAgEacaUT//yyy/n8ssv79f+0UcfDbkI25cHH3wQgFWrVuW0//rXv+bzn/88AAcOHECWD4cK+v1+vvjFL9LW1obX62XhwoW8/fbbY3YtHQkjFaWRuIE27+vijT2drJxVzNpFh10eDb4I4YRK3wyWte1hdrcGaQvGmVro5MPmHva0hSh2WZEkiZI8K+GEmo6TBxKqRrnHTk80hZ5USWkysgytCQvPcDpJzFjNkEjlLtbGNYOm7gjtgRiSJBFN6YcKlxu09ESZ5HUQiKnMKHGxpaE7W34xz2ZmdnledhdwKB5mZ3Mgmxa5zGPL+UyEuAsEx4YjLqISCoV4/PHHefjhh9m2bduoEq4NlsenN6+//nrO65/85CfZ3cEnCiNzAxnEUiq7WgM0+wsP76qdVw4YLJ1emHOemlIXmm7gC6VTLbQEZHoiKQwDwgmVA90RCpzpjVQSEEmmQDLIM0Jcat3H26kqenQvOhDHjEmCPLuVEEkSKYPev8VYykDVNPIcJqy6gYx0KPJH4qA/RlcowZbGLsJxDcMAWZaoLnRkU0fc99JuXtnVhsdmwSAdy39eTYnYmCUQHAfGLPobN27k4Ycf5plnnmHSpElcffXV/OxnPxtP204Kmv1RfOEEVYX2Id1AU4tcyDLsbguxeV8Xaxc5DqUc6C+KGbFcXO2lI5TAbVNwWc1UFTrJs5n568etRBIaJlnC67DgtpuJdWukfE2cr+zDJBnMN7XySjKPzBOEakAgkqCiIH29tkCMpJoelC0mmanFLqwmibqOMLJukO+wYDFJdEWSqLqBroFJBqfVhKJIlHrsWUHf0eynxR/DVqxw/pxSHGZFLNAKBMeJUYl+W1sbjz76KL/61a8IBoN85jOfIZFI8Oyzzx4X98pEYSj3TToMMZoThjgQobiKpkMkoeXM9oe6xoKqAqIpnVmlbmxmhRZ/lMfebSSR0tF1A8WkUOy20R2OU5U6wFl9iparfVxGcQ26IylmlbkIJzSiyRTxQ+GZRU4rYKAoMqqm0hNNUuy2UOl1Mq3YSVLTONAVY3qJhUkeB2V5Vpr9UQA8NgvFbivn1RRz+4Uzc+5FIBAcW0Ys+ldccQUbN27k8ssv5/777+fSSy9FUZRRJ1k7GRnKfTPcYm9GAN02E5edXs6u1gCqzqAJ1nzhBEWutGBmUjFkMmj+bMNedrWlyyK6LDKSBBgppsd2Mdmc3tn6kVrK1lQFeTYT0aRGqpcDXwYi8RT7OsKE4ipxNb15K6UZbG/2p5OnAQYGcRX8sRQXnlbOzcunsrM5wEsft7K4qgBfJElzTzxborHQbeWqsoqsf1/48AWC48eIRf/FF1/ktttu45ZbbqGmpuZo2nTCMZSwDyVwmQic7kiS1bNKWLuokmZ/4YCz4MxrXzieFX9/JElrIEpHMM4jm+rxhZLZ4E3V0LHoBpN9H+E1QuhIvJOcwh6tGAWIqzp2s4yW0NFJfxGcNhm31UwwkRZ8RUpvwDKZZGwmmYRmIEngtFpQZJUil41MuKjNrFDpdeKLJOmOJPsliRP+e4FgYjBi0d+0aRO/+tWvWLhwIXPmzOHv//7vue66646mbScMI5m5DuSeqW0P09QdRdX1bMqB3u/1fp25RrM/SpErfKjebQBNB4dNprErQqHLSiCWIhJXcZjNlOZZSEScqFqMT6yn0ZCwoJAuapJQDXTdOPQ0AJIMbquZZTOKqT+UjlmWDApdVmRZYkGlN+u/bwvESGlmJOC1TzrY2x7i0rnlmBSJWaVuwokUmbUCMasXCCYWIxb9JUuWsGTJEu6//36efPJJHnnkEb7xjW+g6zqvvPIKlZWVuN3uo2nrCc1ALqCaUheVBQ66I8mcNAqHXTlxily2foXPAXzhBFMKHMRSGourC2jqjrKjqYc8m5lQPIHZbGJBpZe97TY+6QpSH4aUnkI+5MZPu2lAN9L/t5plFFnm44M9dEdSaLpGVDUwKSoFTgv13REm5zswSRCOq7QGY6iaQU80QWckDkicWenFZlawmRWe//AgL3/cxsxSF9VFTpZOLxLiLxBMAIbPldsHp9PJzTffzKZNm9i5cyff/OY3uffeeykpKeHTn/700bDxpKCm1JWTYgAOp1JYPask29472gcktjX6s7P+DOnat53EUioOi4lwQiWa0mj2R0m17qay50MCkSSfHAyiyCb8molwPAUcFnsJUHWycfwOi4IsS+xtD9MaTBBJGukEa7rBlAIHBXYLmq7T3BOnMxzHbTVnF6dtJgWPzZy9v5pSF6FYih1NPazf2crGvb5+9yAQCI4PRxSnP2vWLP7jP/6DdevW8fzzz/PII4+Ml10nHYO5Ofq29472qSl1UeSyDrBWIOGLJGgLxHFZFbY3+XFZZObp+zCrjQAkfE18GCphQVU+JllOz+glUBQJTcuNwy9wmrlkbhndkRRdkThqXMdmBiQJu1UmllKZ5HEwv8LDG3s7KHBaOLMyn5uXTxs0530mnLQi38aKmUUiUkcgmCAc8eYsAEVRuOqqq7jqqqvG43SnNH0Lpww0UCydXsjLH7exo70nveHKZLBEqsUc6wIk2t0zafO7sRpgURRKPFYC8RQWk0ye3Uw4nqI9GCeupmPr507KIxhX0XQDj81MLJnArCg4LAqRuMbHLcFDefGhI5RkVqmbxdWFPL2tmeUzirj9wpk59jX7o3idFj63pIql0wuFW0cgmECMi+gLxo+M0G9t6Obpbc3ZGPy+fv2ZpW52tQUpUhLMjX+EWYuBbEKrPptgwoUjEiKuqrT2xJg72UNKN5g/yYNmQErV2bC7nZZAAgn4+GCAaFLHZkqnQTaZZBxmE809URIpDUWSKXSlM5X2RJMcDMT4/buNNHdHCcaS/QqcDJQiWSAQTAyE6E9QNtX52FTro94XptKbrhfcW0A9djNerYfT47swoxHFSmPeGUyxldDV1YOqpz33Dms6o2VXKElDd4RIQmNvW5hA7FB4pw6hmEpSh0RKRzMi5DsshBMpJAPsFgVFkmkPxqjIt1PsttLQFUWWDKwmhbK8/kXSRXZMgWDiIkT/GDCWvPuzSt3U+8IsriogmtR4s7YDt82UnVV7nWZUyYSEQcTkYYdlNiYpfe58hwV/JEk8prK3LcTO5h5Suo5JBpfNRDSZQtMPF0GBdBEUA4glDaKJOIoEsiKxuLKAhKbT3B1jT3sIr8NCZyhBZYGDK8+czNQiV78C5+OZiE4gEIwvQvTHkcFEbCx59zObnSZ7HbxZ28lruzpo8keBGYeKl5spLC7lo675xM1ufBEVl5GuR5tIaXSGkukqV+Fk9pxN/hinledRWeDgQFeEhAoaYDbA4zBTlm+jO5ykI5RAM0DXDOo7I6yaVUKV18mMknSIaSZT5qLqgn7lDkcj4qJIikBw7BGiP44MJmJjcXfklhEMYTXL+INR/vTHp1AmzcHkKkQzDAxXAf5AgmhCQ5IMmnpi1HeF6ZvrVAGSqk5HMEFxnhWLSQE0NB3MioQsS8wp8xBJqry7vwtFBkOSSOo6H7YEWD27hDXzy6nwOphX4aG2PUyzP9qv3OFoRFy4gQSCY48Q/XHkSIuB9M7Dkyk6UuF1sGZ+OU4pTt3mlyEeRKsPkppzEW09MXQDit1WFAkC0RQNnREmeRwktQgYBinNwKRIaIfy6CQ1jURKx223IGPQEY5jkM5/v98XotUfR9MNyvPtnFnhJaHqRBIqHzb3MDnfztpFjj65/9P1hgcqdzjY/fWOTBIzfIHg2CJEfxw5UhHLzJRNikR3JMmO5h6uWViBFuzk4LvrIR5FstiheglmkymdWbMnRjih4rKa0DCIpzTsFpmzqwvxheP4wkkiCRVd1jFLEiARiCeRAV8kTjwFZskgnFDxx1JEk+kiKOG4Sk8sxYqZxexqDdDYFeNwWcZD6Rsw+uUP6l3ucLD7y3xWAoHg2CNEfwz0TQ08XouRmfO5bSbW72xlZ3MPznATbTvfRtd1ikpKkaefS2dCYnF1ISDxp/ebCcVVil0WFlYV0NwdpbYjgtUUpcLrwG0zEU9p2Ewy+Q4LPbEUkaROStU5FHqPZqQra+U7zJS5beQ7zZxR4cFjt7Clvpu6zhCFTgtTi9L2LZ1elE0PUdseHjDB2lD3J9w5AsHxQ4j+GOg9YwXGbfba+0lhf2eYyP7tHGysA6CoYhpFp5/Lm3U9SBKEEynmlLupr8yntiNMucfB1GIHPdEUXZEEqqYQT+k4zAqKJOGwmyhwWPBHE+g6JA+n+sGkQJnHxlfPn3moNKPB0ulFbN7XxZ62IF3RJJoO9b5wv5j8mlIXvnCCvsXZh7s/gUBwfBCiPwYGmrGOZfY6WDH09R8epK49TIESJwFYK+bSXjiLEsXMylnFZLLnNHZFWTN/Ei09sXSN3NYQumFgVmRSmoamG0R1HSSJlGagKBJumxlNB1lKkdLBbU0nSHNYFJq6o3id5kOunC52tQZwWU247aZDC7/pbG29B73Vs0socqVfF7nC4ybqIpxTIDg6CNEfA31nrGMVpb4+7ox/fMPudgLRFDOLT2Oyp4IOaylTXFaWTi9kZ3OA37/biFmRWDqtEJfVRG17iGAsRWmeDUOC1p4YKU1H03Um5zuIJTU0zSCualQXuXBbTbhtZlw2hcXVhbz0cSs7DgR49ZN21i6uZGGVl9r2EI1dUSZ77cwoceN1Wlg6vRDoP+ilZ/txfOEEzf7ouIi08P8LBEcHIfrHmN4z2N4+/A27O/i4tp4DdXuoKJpDidtGKKlyQCpgXkGvIuN/3c37jX4M0pE5dks3O5oCaJqOqhmcO6OIpKpT74vgdViZXuIkpes0dEUIxlQWVxdyXk1xToRQsdtKofMgdrMJMLIuG7vZhMtmJhhXqSl1D7r5qsLroMhlOzTbt46LSAv/v0BwdBCifwzoLfS9Z7AZQav3Rdi3dzeJunfwGDrlVeWsWX0um/d1kfGvZ4R0cVUB7zd2E0vqtPXEMTBwmBUihkFrIEZnKM7Fp5WypcGP225mTrmHOeUeGnyRbO59gA27O9jS0M3i6gIWVRdw8/Jp1LaH2bCng5aeOMtnFFHkstLij7KlsZu5k/KGvMfxFmnh/xcIjg5C9I8BAwl9ZgDY2tCN07+XRO0HABSUT+HCZYuo8DpYuyhX9Jr9UT5sDuC0mJk/2YXTamJPexAAm0VB0w0iCZWdLUEWV3upKc3Lzugz2S4zO2j3dgSzYaEHuqOsmFnE1CIXrT0xattDh2LyK7n/1b3s74zw0setzKvwDCrEQqQFghMDIfrHgMHSJauqyvY3t9B5cD8A55xzDhdffDGyfLi2TeYpIZ7SeOb9Zna2BEipOpUFdm5aPJV6X4QGX4TOUIIZJU5A4p39XbQFE1QWaDy7vZlESmd2eR7XLKzI2lKWZwU6UDWDSFLFH0myq/Uge9tDxFIqDb500ZPlM4qo94VRZLlfsXaBQHDiIUT/GDDQLDgcDvPan58ieLAZJImahSu49NJV/Y7N7H5NaCq7DgaJpzTcNhNJ1WBTnY9rFlZQ5LKyrdGfndl/3BogEEvx0set7O+MoMiQ1PTs7D0z47cqJnRdZV5FPl6nlXfru4klVZAkYocqcYXiKn+/pDrr/++NiLARCE48hOgfYzJC6Up109LSgsVqY9bSizh7/uxBjkjvfp1ZkkcsqdPgi+BxmIlrGk3dh0U3Ez1T2x4iFFcpclooy3dQ6LRgN5s40B3FH0myYXc6W6cvnGB+Rd6hqJyi7LVml+URS6msmTcp65ZaWOUdcKetiLARCE48hOgfQ/qmLLj66qspLy+nsLBw0P4gZf3tsZRGLKGiGeC1W1AkiTdrO7OLrYosk0hp7G0L0WRWmFeZzxXzJ+G2mdhU5wMMtjX6iSZVOoKJnNw5AGsXTRng+mm31ECzehFhIxCceAjRP0YYhsHrb75Nd8xBQWHRIfEsodkfzclH3zfSJ1MvNxRXUXWDikIHiiyTbzfT1B1lR3MPm+o6UTWwmSUiCRVfOI7dbELT9ex5VM3Am2+lptRKbXuQzlAiO/MfzD2TcUv1Hqwy7b3fFwgEJw5C9I8Bmqbxl7/8hX0ffIDTlceVq27KimVuxkpHNmxyR3MPy2cUsbDKi9tm4v3GbkyyxKVzy7GZFXzhOK09MQwMvHYLyNAVStAdTmI3m6kosKOqBus/bKWywIFJkZha5GRRdQFum4loSgcGTyHRd/AZaX4dgUAwsRGif5SJxWL84Q9/oKGhAUmSWHnuUqpLPNn3/ZEkHaE4/kOzaLfNRGsgSl3H4bDJDbs7eKe+m9aeOHvbQ6yoKWZBlZdZ5XHsVhNTChwsn1HEH7Y08c5+Hy6bmSKnlfcP+GnuibF6dgmqZhCKpxPuhOLqoZm/mZpS94BCPliYqZjZCwQnNkL0jyI+n4/HH3+c7u5uLBYLf/u3f8vMmTNz+nidFkrcNrxOC5AW5HBCoyucyA4ENaUuipwWPmrpoSOUIJnS8TotTM634zAr2WMXTy3AH01woDtGeyhOvsPMrFI3y2cU5UTf1JS62NrQzcsft3P1gooBZ/m+cIKqQnu/MFOBQHBiI0T/KLF//36eeuop4vE4Ho+Hv/u7v6OkpH8EzNLphRS5rNlUDG6biTlleTR0RbJiXuF1sHhqIU3+GIoMK2pKAIPGrhgmRaK5JcCmuk48dgszS/PoDCfQNFg8rZA188pzCrJkztfcE2V7Uw/BRKrfpqveawlC7AWCkwsh+kcBwzDYtGkT8XicyspKrr32WpxO54B9M6LaO6rn5uVTc/L1A9lkZ/5IkiZ/lI21EYrdVpIpjUBcxW01UVBkIaVqBCIpbBYTZXk21u88yO62ELPL3Ny8fBptgTjrdx5EliQm59vw2i1s3tdFketwZI6IyhEITl7k4bscPdatW8fixYtxu92UlJRw1VVXsWfPnmGPe+qpp5g9ezY2m4158+axfv36Y2DtyJEkiWuuuYZly5Zxww03DCr4GXovlLptpmzpwUwdWsgkNbPybn0Xz25v5p39XbxZ28HHB4N0hRNYzDKzSt3saE7P3gtdZrxOC41dMTqDCRq7YtS2h1m/s5UXP2pjX0eYzy6p5trFU8iEcm7e52PD7g4gnTJZzPIFgpOP4zrTf+ONN7j11ltZvHgxqqpy5513cvHFF/PJJ58MKpRvv/02119/PevWreNTn/oUjz32GFdddRXvv/8+p59++jG+g8PE43F27drFWWedBYDD4eCiiy4a0bEDFRc3KRKqli5M0jsuvqrQyYfNPSRUHavJRE2pG4tJJhzX2NLQhW5AocvKipqSQ08HBv5ICq/TfOj8QUrcVmaV5mXz8TT7oxS5wvjCiTFtthI7cwWCEwfJMIzhSx4dIzo7OykpKeGNN95gxYoVA/a59tpriUQivPDCC9m2JUuWcOaZZ/Lzn/982GsEg0E8Hg+BQIC8vKEzR44Uv9/P448/TmdnJ1dccQULFiwY9pjBiqA3+6Ns3ufDH0kRiKWymTFtZiU7OPz45T1sbehmUXUB37x4Fus/bOXVT9pZPLWA6iInfTNzbm3oZlOdj+Uziijz2LICvbM5wEsft3Lp3HIum1c+oE0wfDnITBK3wXbuCgSCo8todG1C+fQDgQAABQUFg/bZvHkz3/jGN3LaLrnkEp599tkB+ycSCRKJRPZ1MBg8ckN7ceDAAZ588kmi0Shut5uysrIB+/WdDQ82o8/kpt/ZEmRPe5BoQqMrksBjt2QLpeuGQTylczAQoy0Qpy0Yw20347GbKXJZ+wn0pjofm2p9ANx+4czse/f9dTfv7e8mmtCyg8rq2SVZEc8w3OxfrAEIBCcOE0b0dV3n9ttv59xzzx3STdPW1kZpaWlOW2lpKW1tbQP2X7duHXfddde42pphx44dPP/882iaRnl5Odddd92go2zfPDW9C6j0TWZWU+piR3MPBXYLZXkyl84tZ097iO5Iks37fOTZzOkyh4rCpjofqg7zKjx4nZbsxq5M0RVIZ8rs/W9mAFpclR5cK/IdA9o20nKQIqRTIDhxmDCif+utt/LRRx+xadOmcT3vHXfckfNkEAwGqaysHOKI4TEMg9dee4233noLgDlz5vA3f/M3mM3mQY/pK6SDCWVGkJfPKGJyvg1/JEU4kUKRYE97EMNI++jL8h3kO9Nx+L1dPy09sezgUOSyUVPqYtGhQikZeidS+9zS6pynkIFsE4IuEJw8TAjR/8pXvsILL7zAxo0bqaioGLJvWVkZ7e3tOW3t7e2DulWsVitWq3XcbAVoamrKCv55553H6tWrkSRpyGNGOhvevM/Hxr0+Vswsoshl48WP2gjHVZKqTnswTp7VxMVzy9nVGkDVwWZWcvzo1yysYPM+H7taQ6h6MHvt3ox0ABIIBCcfx1X0DcPgq1/9Kn/60594/fXXmTp16rDHLF26lNdee43bb7892/bKK6+wdOnScbdvsKiUKVOmcMEFF5CXl8f8+fPH7Vqb93Xx+u4OmnpiNPjs+CMpQjEVfzSJJIGGQXWhk7WLKtna4GRTnQ+3LfdXmFkT6Il1o+l6v/czfYTICwSnJsdV9G+99VYee+wxnnvuOdxud9Yv7/F4sNvtANxwww1MnjyZdevWAfC1r32NlStX8uMf/5jLL7+cJ554gq1bt/KLX/xi3O3r7YeXYz24XK6sz3758uXjeq3N+7p4aksToXgKt91MLKXT2BUgqelomo4/lkI3DDrC6UXpel+YfR1hHGa5X6SN25bOx9MdSRKKqyKkUiAQZDmuov/ggw8CsGrVqpz2X//613z+858H0tExvcsHLlu2jMcee4x/+7d/484776SmpoZnn332qMToZ4TUFGzh139cT1FRETfddBMWi2XcrwUGbruJYreVUo+NxdUFhBPpMoZ1HWG2N/lJ6Xp28RUkDAPaggmae9KLt5Pz7dn0CdcsrBiwGLsQfYHg1Oa4u3eG4/XXX+/XtnbtWtauXXsULMplcr6d/Tu38n8bNgDgdrtHZPNYmFrkYl5FPg6zQjCuEk6oFLms2fQLj2yqp6ErgtWsAOm0DP5IgrqOCADdJJmcb2NhlXfQJGkipFIgEEyIhdyJiKqq/PnPf2bnzp3AwEXLx5NQXKU7kuRgUsNlM+GPJGnsiuILxyly2SjLs9EZSgBG1l3TFkyw3xdhfoWH82qKhy2GIhAIBEL0ByAcDvPkk0/S3NyMLMusWbOGhQsXHtVrum0mArEkvmACr9PKnPI8akrd2dQIVYUOVswsAiQ27/OxsyVIPKkxv8LDmnnlOSGZAoFAMBhC9Afg+eefp7m5GZvNxmc+85kRRRWNhoHSHYTiKoosI8ngsCjZKlfpvDjWbJ3b7kiSeZM9FDgtdJPkvJriUQm+WNQVCE5thOgPwJo1a0gkElxxxRWDFi2HgQW0b9tAfQZKwVBT6mJKgYOeaJJYSstWucpQ74tkM3Fm/Px90y+PhL7lGQUCwamFEH3SC8oHDx5k8uTJQDpkNBM9NBQDRcX0bRuoz2ApGCbn20ipbjpDSbY2dFHbHqQtmPj/7d19UFTX+Qfw7yKwLAILyIsgLxpXCRgwiUaDpIPEJMQmDEz608HYiNXa1qCiNkbtTGuaTAfT2qm2mTE6qaDWNpNoIS1iIyaCgWiC0FUkuCMEVOyKURFYkGVhn98fdG/ZZV9x2Rf3+czsJPfec++es8d59nDO2XMwqCUkTwlCRkLEqM1QxlBaDP+OzGXW2WOMOZDHB/2hoSGUl5ejvr4eS5cuRWJiotX3mlujxth/R7b6DVejPH35Fq7euQ8f7wnoGxhCbdvwF0WgnzeSY4L1Vs18EKnTw4TlGRhjnsejg77hpuU9PT023T+yda87NrZuje7YcPXKkd0+I1v/U4Il6Owd/hFWyERfuwV8w/wwxjyPxwb9O3fuoKyszOym5daw9odPhpuNG95nGIxv3LuPZ2RhPCuHMWZXHhv0Dx06BGC4/37ZsmWjlmu2lqm15HVr6eg2NDnbcgcnLikxddJEpE4PM3vf4XNt+Pa74R9dcdBnjNmTxwb9/v5+yGQy5ObmWtzD1hxT3SVXOlSoUnyH+5pB3LjXD38fL6j6B9F2pxdXOlRCn76ua0j3/7dVanh7eeGR8InC+vc6I8cEbnb1C7th8RcDY8xaHhv0Z82ahdzcXHh7j89HMCMyAOkJ4WhSduFu7wCmTAnCkrkxAER6i6MZ7lAVP0mCl1Oijc6jH5n+Qvs9YTcsDvqMMWt5bNDPysoat4APDP8FsGSuP9o7Jxmdtw8A/ZohXO/sxazoICTHSAHA7I+mRnYJ6ZZMNvxrgDHGzPHYoG9p0xN7Mez+0bXWb6vUqG7+DpeVwzOGkmOkFjcVH/msmBB/buEzxmw2PquHeaD2zj6cvnwL7Z19ZtMF+nnDe4IInb0D8PbyQvBEH6g1Whyta8f5trtWPYMxxsbKY1v69mZq6qbhMgy61TS7vUR4+pFQTAuLE9bUqW6+LSzLwHPpGWPjgYO+nZiagmn4ZTAjMgAX2u/h2t0+3LjXj9TpYcKGJ4bLMjDGmL1x0LcTU1M3jW1C/n9zYnC0rh13eweE6ZvcsmeMOQIHfStZsySxsTSmvgymBEswJZjXwGGMORYP5FpJ100z8sdUY0mjS3f1Th/CAvy4hc8Ycyhu6VvJVJ89oL8pim6PWkvPuq3qx22VWpipY+3GJrwJCmPsQXDQt5K51Sl1Lfw58SEW59rr3LjXj7u9AwgLEAOAVYu2jXwva9IyxpghDvp2YO6vAGOudKiEXbCMrcVvz/dijLGROOjbga1r1Ou6dwCR2fttGRhmjDFrcNB/QIZLKFvbJw+I/juYK7bYbQRwVw5jzD446D8g3RLKIhGE2TjmBlt1gTx+ksTioC935TDG7I2D/gPSLaEMkNElkw2D/shAbqn1zl05jDF746D/gHRLKI9kroXOgZwx5kwc9McBB3bGmKviX+SOgbXLKDPGmKvhlv4Y8Kwaxpi74qA/BjyrhjHmrjjoj4Gj+ux5nR3GmL1x0Hdh3I3EGLM3pw7knjlzBllZWYiOjoZIJEJpaanZ9JWVlRCJRKNeN2/edEyGHWxGZIBVq3Yyxpi1nNrS7+3txezZs7Fq1Sq88sorVt+nUCgQFBQkHEdEWLeypbvhqZ+MMXtzatBfvHgxFi9ebPN9ERERCA4Otn+GxhH3zzPGXIFbztN//PHHERUVheeffx41NTVm06rVanR3d+u97MXa+frtnX04WteO04pbFnfVYoyx8eRWQT8qKgrvv/8+jh07hmPHjiE2NhYLFy5EfX29yXsKCwshlUqFV2xsrN3yY8v2iMbWz2eMMUcTERE5OxMAIBKJUFJSgpycHJvuS09PR1xcHA4fPmz0ulqthlqtFo67u7sRGxuLrq4uvXEBa43spgGs2+bQVNcOd/kwxuyhu7sbUqnUqrjm9lM2582bh+rqapPXxWIxxGKx3d5v5DTKjEcjrArWpgZkeUomY8zR3D7oy+VyREVFOez97PFrXFs3UmeMMXtxatBXqVRobm4WjltbWyGXyxEaGoq4uDhs374dN27cwKFDhwAAu3fvxrRp0zBr1iz09/fjgw8+wOeff46TJ086LM+2TKM01X0zlo3UGWPMHpwa9M+fP4+MjAzhePPmzQCAvLw8FBcXQ6lU4tq1a8L1gYEB/PznP8eNGzfg7++PlJQUnDp1Su8ZrsRU9w2v3cMYcxaXGch1FFsGPB4UD9QyxhzBowZyXZk9uoIYY8yeOOi7iJFdQbpj/gJgjNkbB30XMbKfn6dyMsbGCwd9G41XN4yxriAe6GWM2RsHfRs5ohXOq2syxsYLB30b8XRLxpg746BvQntnH8623AFASJ0eJrS8uRXOGHNnHPRNuNKhQpXiO4hEQFiAHwd6xthDgYO+CTMiA5CeEA6AuCuHMfbQ4KBvQkyIP5bMHZ/WPf8QizHmLG61icrD4mzLHRyra//vmAFjjDkOB32nIIhEw/9ljDFH8rjuHd36coprHUiIc04eHgv3hQRSTA/3teuevYwxz6SLI9asn+lxQb+npwcAMC95ppNzwhhj9tXT0wOpVGo2jcctrazVavGf//wHgYGBEA33sTww3b67169fH/flmh2Fy+T6HrbyAFymsSIi9PT0IDo6Gl5e5nvtPa6l7+XlhZiYmHF5dlBQ0EPzD1WHy+T6HrbyAFymsbDUwtfhgVzGGPMgHPQZY8yDcNC3A7FYjB07dkAsFjs7K3bDZXJ9D1t5AC6TI3jcQC5jjHkybukzxpgH4aDPGGMehIM+Y4x5EA76jDHmQTjoW1BYWIinnnoKgYGBiIiIQE5ODhQKhcX7Pv74Yzz66KPw8/NDcnIyysvLHZBb64ylTMXFxRCJRHovPz8/B+XYsr179yIlJUX4AUxqaipOnDhh9h5XriPA9jK5eh0Z2rlzJ0QiETZu3Gg2navX00jWlMnZ9cRB34Kqqirk5+fj3LlzqKiogEajwQsvvIDe3l6T93z55ZdYtmwZVq9ejX//+9/IyclBTk4OLl265MCcmzaWMgHDvyhUKpXC6+rVqw7KsWUxMTHYuXMn6urqcP78eTz77LPIzs5GY2Oj0fSuXkeA7WUCXLuORqqtrcW+ffuQkpJiNp071JOOtWUCnFxPxGxy69YtAkBVVVUm0yxdupReeuklvXPz58+nn/70p+OdvTGxpkxFRUUklUodlyk7CAkJoQ8++MDoNXerIx1zZXKXOurp6aEZM2ZQRUUFpaenU0FBgcm07lJPtpTJ2fXELX0bdXV1AQBCQ0NNpjl79iyee+45vXOZmZk4e/bsuOZtrKwpEwCoVCrEx8cjNjbWYovTmYaGhvDhhx+it7cXqampRtO4Wx1ZUybAPeooPz8fL7300qjP3xh3qSdbygQ4t548bsG1B6HVarFx40akpaXhscceM5nu5s2biIyM1DsXGRmJmzdvjncWbWZtmRISEnDgwAGkpKSgq6sLu3btwoIFC9DY2DhuC9jZqqGhAampqejv70dAQABKSkqQlJRkNK271JEtZXKHOvrwww9RX1+P2tpaq9K7Qz3ZWiZn1xMHfRvk5+fj0qVLqK6udnZW7MbaMqWmpuq1MBcsWIDExETs27cP77zzznhn0yoJCQmQy+Xo6urC0aNHkZeXh6qqKpNB0h3YUiZXr6Pr16+joKAAFRUVLj3AbIuxlMnZ9cRB30rr1q1DWVkZzpw5Y/HbePLkyejo6NA719HRgcmTJ49nFm1mS5kM+fj44IknnkBzc/M45c52vr6+kMlkAIA5c+agtrYWe/bswb59+0aldZc6sqVMhlytjurq6nDr1i08+eSTwrmhoSGcOXMG7733HtRqNSZMmKB3j6vX01jKZMjR9cR9+hYQEdatW4eSkhJ8/vnnmDZtmsV7UlNT8dlnn+mdq6ioMNsX60hjKZOhoaEhNDQ0ICoqahxyaB9arRZqtdroNVevI1PMlcmQq9XRokWL0NDQALlcLrzmzp2L5cuXQy6XGw2Orl5PYymTIYfXk9OGkN3E2rVrSSqVUmVlJSmVSuHV19cnpHnttddo27ZtwnFNTQ15e3vTrl27qKmpiXbs2EE+Pj7U0NDgjCKMMpYy/frXv6ZPP/2UWlpaqK6ujnJzc8nPz48aGxudUYRRtm3bRlVVVdTa2koXL16kbdu2kUgkopMnTxKR+9URke1lcvU6MsZwpos71pMhS2Vydj1x0LcAgNFXUVGRkCY9PZ3y8vL07vvoo49o5syZ5OvrS7NmzaLjx487NuNmjKVMGzdupLi4OPL19aXIyEj6/ve/T/X19Y7PvAmrVq2i+Ph48vX1pfDwcFq0aJEQHIncr46IbC+Tq9eRMYYB0h3ryZClMjm7nnhpZcYY8yDcp88YYx6Egz5jjHkQDvqMMeZBOOgzxpgH4aDPGGMehIM+Y4x5EA76jDHmQTjoM8aYB+Ggz9zOypUrkZOTIxwvXLjQ4pZ746GyshIikQj37t0zmUYkEqG0tNRheWLMEg76zC5Wrlwp7PepWxny7bffxuDg4Li/99///nerl6S1JlCzsXHWly+zDS+tzOzmxRdfRFFREdRqNcrLy5Gfnw8fHx9s3759VNqBgQH4+vra5X0t7fjFGPsfbukzuxGLxZg8eTLi4+Oxdu1aPPfcc/jHP/4B4H9dMr/5zW8QHR2NhIQEAMObUCxduhTBwcEIDQ1FdnY22trahGcODQ1h8+bNCA4OxqRJk/Dmm2/CcLkowxamWq3G1q1bERsbC7FYDJlMhj//+c9oa2tDRkYGACAkJAQikQgrV64EMLxkcWFhIaZNmwaJRILZs2fj6NGjeu9TXl6OmTNnQiKRICMjQy+f1mpoaMCzzz4LiUSCSZMm4Sc/+QlUKpVwfXBwEBs2bBDKu3XrVuTl5el1ZxlTU1ODhQsXwt/fHyEhIcjMzERnZ6fweWzYsAERERHw8/PDM888o7fLU3FxMYKDg/WeV1paCpFIJBy/9dZbePzxx3H48GFMnToVUqkUubm56OnpATBcv1VVVdizZ4/wF19bWxs6OzuxfPlyhIeHQyKRYMaMGSgqKrL5c2P2w0GfjRuJRIKBgQHh+LPPPoNCoUBFRQXKysqg0WiQmZmJwMBAfPHFF6ipqUFAQABefPFF4b7f//73KC4uxoEDB1BdXY27d++ipKTE7PuuWLECf/vb3/DHP/4RTU1N2LdvHwICAhAbG4tjx44BABQKBZRKJfbs2QMAKCwsxKFDh/D++++jsbERmzZtwg9/+ENUVVUBGP5yeuWVV5CVlQW5XI4f//jH2LZtm02fR29vLzIzMxESEoLa2lp8/PHHOHXqFNatWyekeffdd3HkyBEUFRWhpqYG3d3dFscE5HI5Fi1ahKSkJJw9exbV1dXIysrC0NAQAODNN9/EsWPHcPDgQdTX10MmkyEzMxN37961Kf8tLS0oLS1FWVkZysrKUFVVhZ07dwIA9uzZg9TUVKxZswZKpRJKpRKxsbH45S9/iW+++QYnTpxAU1MT9u7di7CwMJvel9mZw9bzZA+1vLw8ys7OJiIirVZLFRUVJBaL6Y033hCuR0ZGklqtFu45fPgwJSQkkFarFc6p1WqSSCT06aefEhFRVFQU/fa3vxWuazQaiomJEd6LSH8pW4VCQQCooqLCaD5Pnz5NAKizs1M419/fT/7+/vTll1/qpV29ejUtW7aMiIi2b99OSUlJete3bt066lmGAFBJSQkREe3fv59CQkJIpVIJ148fP05eXl508+ZNIiKKjIyk3/3ud8L1wcFBiouL0yuvoWXLllFaWprRayqVinx8fOjIkSPCuYGBAYqOjhY+16KiIpJKpXr3lZSU0MjwsGPHDvL396fu7m7h3JYtW2j+/PnCseGSwkREWVlZ9KMf/chk3pnjcZ8+s5uysjIEBARAo9FAq9Xi1VdfxVtvvSVcT05O1uvHv3DhApqbmxEYGKj3nP7+frS0tKCrqwtKpRLz588Xrnl7e2Pu3Lmjunh0dLsVpaenW53v5uZm9PX14fnnn9c7PzAwgCeeeAIA0NTUpJcPADbv3tTU1ITZs2dj4sSJwrm0tDRotVooFAr4+fmho6MD8+bNE65PmDABc+bMgVarNflcuVyOJUuWGL3W0tICjUaDtLQ04ZyPjw/mzZuHpqYmm/I/depUvbqKiorCrVu3zN6zdu1a/OAHP0B9fT1eeOEF5OTkYMGCBTa9L7MvDvrMbjIyMrB37174+voiOjoa3t76/7xGBjsAUKlUmDNnDo4cOTLqWeHh4WPKg0QisfkeXZ/68ePHMWXKFL1rYrF4TPlwpLGUeSQvL69RX6IajWZUOh8fH71jkUhk9ssIABYvXoyrV6+ivLwcFRUVWLRoEfLz87Fr164HyjMbO+7TZ3YzceJEyGQyxMXFjQr4xjz55JO4cuUKIiIiIJPJ9F5SqRRSqRRRUVH46quvhHsGBwdRV1dn8pnJycnQarVCX7wh3V8auv5uAEhKSoJYLMa1a9dG5SM2NhYAkJiYiK+//lrvWefOnbNYxpESExNx4cIF9Pb2Cudqamrg5eWFhIQESKVSREZG6g2yDg0Nob6+3uxzU1JSRu0jqzN9+nT4+vqipqZGOKfRaFBbW4ukpCQAw1+wPT09evmSy+U2lQ0Y/mxHfq464eHhyMvLw1/+8hfs3r0b+/fvt/nZzH446DOnWb58OcLCwpCdnY0vvvgCra2tqKysxIYNG9De3g4AKCgowM6dO1FaWorLly/j9ddfNzvHfurUqcjLy8OqVatQWloqPPOjjz4CAMTHx0MkEqGsrAzfffcdVCoVAgMD8cYbb2DTpk04ePAgWlpaUF9fjz/96U84ePAgAOBnP/sZrly5gi1btkChUOCvf/0riouLbS6vn58f8vLycOnSJZw+fRrr16/Ha6+9hsjISADA+vXrUVhYiE8++QQKhQIFBQXo7OzUm0ljaPv27aitrcXrr7+Oixcv4vLly9i7dy9u376NiRMnYu3atdiyZQv+9a9/4ZtvvsGaNWvQ19eH1atXAwDmz58Pf39//OIXv0BLS8uYyqb77L/66iu0tbXh9u3b0Gq1+NWvfoVPPvkEzc3NaGxsRFlZGRITE21+NrMjZw8qsIfDyIFcW64rlUpasWIFhYWFkVgspkceeYTWrFlDXV1dRDQ8cFtQUEBBQUEUHBxMmzdvphUrVpgcyCUiun//Pm3atImioqLI19eXZDIZHThwQLj+9ttv0+TJk0kkEgl7l2q1Wtq9ezclJCSQj48PhYeHU2ZmJlVVVQn3/fOf/ySZTEZisZi+973v0YEDB2wayCUiunjxImVkZJCfnx+FhobSmjVrqKenR7iu0Who3bp1FBQURCEhIbR161ZasmQJ5ebmmnwPIqLKykpasGABicViCg4OpszMTCFf9+/fp/Xr1wufcVpaGn399dd695eUlJBMJiOJREIvv/wy7d+/f9RA7uzZs/Xu+cMf/kDx8fHCsUKhoKeffpokEgkBoNbWVnrnnXcoMTGRJBIJhYaGUnZ2Nn377bdmy8LGF++Ry5gL02q1SExMxNKlS63+1TFj5vBALmMu5OrVqzh58iTS09OhVqvx3nvvobW1Fa+++qqzs8YeEtynz5gL8fLyQnFxMZ566imkpaWhoaEBp06d4n5wZjfcvcMYYx6EW/qMMeZBOOgzxpgH4aDPGGMehIM+Y4x5EA76jDHmQTjoM8aYB+GgzxhjHoSDPmOMeZD/ByT2qscOJbpjAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4, 4))\n",
    "ax.scatter(pred_logcounts[:, 0], true_logcounts[:, 0], s=1, color='tab:blue', alpha=0.3)\n",
    "ax.scatter(pred_logcounts[:, 1], true_logcounts[:, 1], s=1, color='tab:blue', alpha=0.3)\n",
    "ax.axline((0, 0), slope=1, linestyle='--', color='gray')\n",
    "ax.set_xlim([pred_logcounts.min(), pred_logcounts.max()])\n",
    "ax.set_ylim([true_logcounts.min(), true_logcounts.max()])\n",
    "ax.set_title(f'{model} (correlation: {corr_avg:.2f})', fontsize=11)\n",
    "ax.set_xlabel('Predicted log counts')\n",
    "ax.set_ylabel('Actual log counts')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6214e1ec",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-01-18T04:13:12.760763Z",
     "start_time": "2026-01-18T04:13:12.752629Z"
    }
   },
   "source": [
    "Before fusion bias correction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "80936226",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:47:16.441075Z",
     "start_time": "2026-03-30T22:47:15.073475Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mRowYgby8PNx888149913sX79+goNe2fOnMH8+fMxevRoDB8+HI8++ii+++47XHjhhZg2bRoGDRqEmTNngjGGjz76yDzvxIkTeO+997BhwwbMmzcP8+fPx6FDhzBkyBB4vd6Y7s+Y1BQUFOAf//gHfvzxRzzxxBMxtRGNxx9/HDt37qyUHn366adx+PBhtG/fHn/+85/jcn2CqCyVfb/9+9//Nsevxqdjx45h9fr27RtWb+DAgVWSTdd1qKqK4uJizJkzB0uWLMHjjz8el0W0hx9+GE6nE//+978rrPvMM8+goKAAkiTh6aefrva1y+O6667DCy+8gCuvvBIDBgzAvHnzsGXLFqxcuRK33XYbhgwZgjlz5uDCCy8Mk+XkyZNYvnw5Ro4ciZEjR+LTTz/F4cOH8d5779WozETDhHRD49YNf/3rX8FxXFiM9rqIWNsCNHRcLhcsFov5XRAEfPzxx2ZHd7vd+Pbbb/GPf/wjaHWgQ4cOaNWqFTZu3BiUaMTwMjLo0qUL1q5dG5NMhlHNIDMzExs3boTVao2pnWhMmzYNF198MZYsWRKU2TSUHTt24OuvvzYzQEcyZMSLSy65BK+++ioAoLS0FJ999hkefPBBpKamYuLEiTV2XaJhURf7czQMQ35gxlKD9u3b48ILL8SCBQuQm5uLpKQkXHnllWEJVADg/vvvx+jRo7F8+XJ8+eWXWLNmDSZPnowlS5Zg7dq1NbZdp6JnXV3uuusuPP/883j++eeDMsWH4vV6MXv2bHAch++++w6KogTJRRDx5sYbb0S3bt0wffp0fPLJJxHrzJkzB6+88gp+++03M8swAOzZswcdOnSI2nbz5s3RtWtX87tRN3BSkZqaiszMTBw+fNgsMyYPy5cvR1ZWFgC/vurSpQvmz5+P2267rdL317dv36Dvjz76KEaPHl3p88vjwgsvxDXXXINnnnnG3IIUjbffftvMCHngwAG0bds2LjIQREXE8n4bNWoUHn744aCy0N0DgD85YagHy08//VSlyWhof7z55pvx17/+NeZ2ItG8eXPcfvvtePnllyvMKm/00cLCQmzbtg39+/ePiwyRCA3tsmrVKnTv3h0dOnQIWjgdNGhQWFKnbt26oX379ub3du3a4fzzz8cPP/yAO++8s8ZkJhoepBsat26YNWsW3nnnHbz33nv1YpcEeSTWMHa7HRs3bsQPP/yAuXPnIjs7GxMmTMDx48cB+GOQaZqGKVOmhK0WHDp0KGggDyAsI6gkSTF7A1xyySXYuHEjvvvuO7z00ksoKirCmDFjgrYCiaLfxhzNRRpA1Mn0RRddhCFDhuCZZ56J6pXIGMPdd9+N9u3b44033sC7776L77//Pqb7iIWUlBT07t0bvXv3xuWXX46XXnoJQ4cOxV/+8pcKPScJwqAu9udoGJ52zZo1i3jc2N48f/58jBo1qtzVxGbNmuFPf/oT5s2bhyNHjmDSpEn48ssvTSNHixYtUFRUhNLS0ojnG7FdYnkpVvSsDQRBiLpFQ9O0qHoqISEBDz74IP7zn/+EtRnIs88+iyNHjuCjjz7Cnj178Morr1T6HgiiKnAch8ceewyffvopfv7557Djy5Ytw4QJE3DxxRdj0aJF+P7777Fs2TIAqFB/RNI50coD20pLS0PXrl1NIyIAdOzYES1btsSvv/4ay+1h9uzZ2LhxIz799FNccskleOGFF7By5cqgOqIoVqlfA/7FzO3btwd5VIbyxRdfYN68eXjnnXfQokUL8kgkzimVfb8Bfg9kY/xqfLp16xZWr3PnzmH1qrrw9sILL2Djxo1YvXo1rr/+eixcuBBvv/12UJ3q9NFHHnkERUVFYW0GsmvXLrz00kuYPn06+vXrh7vvvjsuMaSjEajbAOD06dPYvHlz2FjumWeeCRvLZWZmRmyvvLEFQUSCdEPj1Q0rVqzAn/70J0ybNq3eODmRIbGG4XkevXv3xsUXX4yxY8di2bJlKCoqMuMBpqammpOGjRs3hn0ef/zxuMtkGNX+8Ic/4C9/+QtmzJiB7777DosXLzbrZGRkAIi8LdII/hmpcxj8/e9/x9atW7F8+fKIx9977z18/fXXePPNN3H33Xejb9++uPvuu+MWs6EydO7cGadPn46YBIMgIlEX+3M0Pv/8cwBAv379Ih4fPXo0du7cic8//xxjxoypdLsWiwVTpkwBAOzcuRMAkJeXBwD49NNPI57zySefgOO4mEIJVPSsDTIyMiLqqdLSUjidznL11L333ouEhAS8+OKLEY/v3r0bL774Iv72t7/huuuuw4MPPoinn366zga9JhoOo0aNQseOHSNu2Vm8eDF69uyJt99+G9dccw369OmDtLS0GpUn0IsxlFgXP4xJzTXXXIMVK1YgOzsbDz30UNCiXrR+DfjHIOX16759+2LQoEFRtzvJsox77rkHV155JW6//Xa88cYbWLFiBZYsWRLTfRBEVans+622OO+889C7d28MHDgQS5YsQa9evfD4448HeT9Xp4+2bt0aEydOxEsvvRRVf9x1110477zz8Ne//hVvvvkmdu7ciddff716N1YOobs3mjRpgh49ekQcy4U6PkSaR5w8eTJiojqCKA/SDY1TN3z//fcYMWIEJk6cWGf+rysDGRLPMb1798aYMWMwa9YsnDhxAg6HA3/4wx+wc+fOsNWC3r17Izc3t8Zl+vOf/4w2bdpgxowZZln79u2RnZ2Njz/+OKz+Rx99hOzsbLRr1y5qm/369cMVV1wRcSBfUFCAhx9+GBMnTsRll10GjuPw5ptvYvv27RVma4onv/zyCywWC5KTk8/ZNYmGRV3sz4DfA/Dpp59Gly5dcMUVV0Ss07JlSzzwwAO45ZZbohobz5w5E3GVz4jDZng7jhw5Es2bN8czzzwDt9sdVvf999/H8OHDzViJVSH0WRvk5eXh008/DZPT8EYqz3iZlJSEBx54AG+//XbEl/1dd92FNm3a4JFHHgHgXyBJT0/H5MmTq3wfBFEZeJ7HY489ho8//hjbtm0LOubxeExPQoN58+bVqDzDhg3Dr7/+GtT3du3ahSNHjlQrbmhiYiKeeuop7NixI8iDMC8vD9u2bcP+/fuD6h84cABbt27FZZddVm6706ZNw+bNmyOGa5gxYwYOHjxoxmG66qqrcNNNN+GBBx6oMMg7QdQE0d5vdQFBEPDiiy/i9OnTmDlzplmel5eHoqIifPXVV0H1S0pKzESK5TF16lScOnUK77zzTtix9957D19++SXefPNNSJKE7t274/7778eTTz4Zc6zlqjJw4EDs27cPzZs3jzieC+SXX37B3r17ze979+7F1q1b0adPn3MiK9FwId0QTEPUDTt27MDQoUNxxRVX4K233jon9xAvyJBYC0ybNg2qquK1114D4M8K+umnn2L06NFYtmwZ1q9fj7lz52LixIlYv359jctjsVjwt7/9DVu3bjW3F/E8j6eeegqzZs3CHXfcgU8++QSffPIJ7rjjDvz3v//F9OnTI8ZeC2TatGn46aefUFxcHFRuxHN46aWXzLLzzz8ff/7zn/H3v/89KN35pk2b8OGHH2LFihUA/Bb7Dz/80MwSW1mKiorw/fff4/vvv8fq1asxZcoUfPbZZ7j11ltht9tjaosgAqnt/mz8tjds2IBPP/0Ujz32GHr16gWe5/HBBx+UG8PwlVdewZw5c6IeX7t2rekV9fnnn2Pt2rV4+eWXceedd6J169a48cYbAfi3YixYsAAHDhzAJZdcgnnz5uGrr77Cv/71L1x22WVo1apVuXEIK0voswaAv/3tbzh8+DCuvPJKLFq0CGvWrMGzzz6LO++8E2PHjkWnTp3KbXPy5MmQJCksu/Xs2bOxfv16c7AC+LdD//Of/8THH38cFLvu4MGD+PDDD/Hhhx/C7Xbj999/N78TRFW55ZZbcN5552HdunVB5YMGDcKPP/6Ip59+GmvWrMGDDz6IL774okZlueOOO9CsWTMMGzYMH3/8MRYvXowbbrgBbdu2xc0331yttidOnIg2bdrghRdeMMvGjx+Pdu3aYcCAAXj33Xexdu1avPvuu8jLy0Pbtm0xfvz4ctu89NJLkZeXFxZzds+ePXj++efxyCOPBMWSfO2111BUVIQnn3zSLHO73WY/PnjwIEpKSszvp06dqtY9E0Qokd5vgN97xRi/Bn6ihRKpCQYOHGjGGlcUBYA/xvOll16K4cOH45///CfWrl2LuXPn4pJLLoEgCBUuuLVp0wZjx44N66OGs8GECRMwYMAAs/zJJ59EamoqHnjggaD6Rp/csWMHNE0L6rPVYcKECejYsSMGDBiAmTNnYv369fjoo4/wxBNPYOrUqUF1s7KycO2112Lx4sVYvHgxhg0bhhYtWuDWW2816+zYsSNoXLB9+/ag+Q1BRIN0g5+GqBvy8/MxZMgQ2O12TJkyBZs2bTL/H3fs2FEtOc8JjKgxnnjiCeZwOCIeGzt2LEtOTmZFRUWMMcY2btzIrrnmGpaSksLsdjtr3749u+uuu9jhw4cZY4zt37+fAWCLFy8Oauf+++9nOTk5lZYpLy+PDR06NKzc5/OxNm3asLy8vKDyBQsWsIsuuojZ7XZmt9tZ79692fz588POz8nJYffee29Y+SWXXMIAsCeeeIIxxthXX33FOI5j7777bljdkpIS1rx5czZq1CizbOLEiQxA2CdUzoruOfBcu93Ounbtyl566SUmy3Kl2yEaN3W1Pxu/a57nWVpaGuvbty+bPn06O336dFh9AOyll16K2t6yZcsYALZ//37GGGOHDh1if/3rX9kFF1zA0tLSmN1uZx06dGCTJ09mx44dCzt/586dbMyYMSwzM5NJksRyc3PZgw8+yAoKCip9T4zF9qwZ8z/vq6++mqWkpDCLxcLatWvHnnzySebz+YLOnThxIuvatWtYm48//niQXikoKGAZGRls3LhxEWW49tprWW5uLnO73YwxxmbNmhVRT9Erlqgs0X7z7777LgMQpBdUVWUPPfQQy8jIYElJSWzEiBHs+++/D9Mpoe/lSL//devWMQBs48aNQeWR3un79u1j1157LXM4HOZ1DZ1WGaJdizHG3nnnHQaArVu3ziw7fvw4u+2221izZs2YKIqsWbNmbNKkSez48eNB5xr979SpU0Hla9asCeuHV155JWvXrh3zeDxhMrz88stMFEW2bds2xthZPR3pEygnQcRCLO+3nJycqL/Br7/+mjFWfr8q71gkoo1NGGNs9erVDACbNWuWWVZSUsIeeOAB1rp1ayaKIktPT2cjR45ke/bsqZQcu3fvZoIgBI07brvtNtakSROWn58fJsOSJUsYAPbZZ5+ZZdGeT6Cc5VHeMyouLmZTpkxhrVu3ZhaLhWVnZ7NrrrmGffLJJ2YdY1713//+l+Xm5jKr1couu+wytmPHjqC2nnjiiYhyxjLmIxo2pBvO0lh0g3GN6to6aguOMco0QRAEQRAEQRAEQRCVZcCAAUhMTAzapUAQBNEYdANtbSYIgiAIgiAIgiAIgiAIokLE2haAiB/lpT7nOA6CIJxDac4NjfGeicZBQ/1ta5qG8hzhRZFeSwRR39B1HbquRz0uCEKFcZUJgqg5GGPQNC3qcZ7ny42pXB9pjPdMELHSGPtJY7znmoCeUAPCYrFE/bRt27a2xasRGuM9E42DhvrbvvLKK8u9twMHDtS2iARBxMj06dPL7dfvv/9+bYtIEI2a999/v9w+On369NoWMe6ci3tev359g966SDR8SDeQbqgqFCOxAbFp06aox6xWK7p3734OpTk3NMZ7JhoHDfW3vXv37nIzyvXo0cPMkkwQRP3g2LFjOHbsWNTjbdq0QXp6+jmUiCCIQAoKCrB///6ox5s3b47mzZufQ4lqnsZ4zwQRK42xnzTGe64JyJBIEARBEARBEARBEARBEESF0NZmgiAIgiAIgiAIgiAIgiAqhAyJjYT169eD47hyt0tG4qOPPsK///3vsPJbb70V3bp1i5d4Vaa4uBi33347mjRpgqSkJIwYMQLHjx+v8DyO46J+As9/+umnMWjQIKSmplbp+RFEXYd0Q3R++uknCIKAxMTEsGM+nw8PP/wwmjVrBofDgUGDBmH37t3xEp8gah3SDdGJphvee++9qGOLq666Kp63QRC1BumGYG699daIfX7lypVB9Y4ePYrRo0cjJSUFSUlJuO6668rdXkkQ9Q3SDcE0dN1A6TGJcvnoo4+wadMm3HPPPUHl06ZNg8vlqiWpzjJ69Gj8+uuveOutt2Cz2fDYY4/h6quvxqZNm8rN/rphw4awsgkTJsDhcCA7O9sse/vtt9G2bVsMHDgQS5YsqZF7IIj6SEPVDQaMMdx3333IyMiA0+kMOz558mQsXLgQr7zyClq0aIFnn30WV155JX799VekpKTUxC0RRL2gMeuGoUOHho0vfvvtN0yYMAFXX311XO+DIOobDVk3nHfeeZg3b15QWefOnc1/a5qGq6++Gi6XCzNnzoTVasVTTz2FK664Atu3b4+4YEkQjQXSDfVTN5AhsR4gyzIsFktYGnJN06DrOiwWyzmXqS5kjd2wYQM+//xzfP755xg8eDAAoGPHjujcuTOWLl2KUaNGRT23b9++Qd8PHDiA3377DS+++GJQ+aFDh8DzPNavX0+GRKLOQbohMtXRDQazZs3C6dOncdttt+Gf//xn0LEjR47g3Xffxb///W/cdtttAICLLroIrVu3xttvv42//vWv8b8pgogB0g2RqWndkJGRgYyMjKCylStXQhAEjB49On43QhBVhHRDZKqrG+x2e9jcIpDFixdj+/bt2Lp1K3r06AHAP25o27Yt3nnnHUyZMiV+N0MQVYB0Q2RIN0SHtjbHmU8//RT9+/dHQkIC0tLSMGDAAGzevNk8fvDgQYwYMQIpKSlwOBwYMmQItm/fHtRGbm4u7rvvPrz44ovIycmB3W7HmTNnMGDAAAwbNgzvv/8+OnbsCKvViq1bt5rX7dOnD+x2OzIyMnD33XdXaMF/+eWXcdFFFyElJQWZmZkYNmwY9uzZYx6/9dZb8f777+PXX381XXFvvfVW81ioq/H27dsxZMgQOBwOpKSkYMSIETh06FBQHY7j8OKLL+LJJ59EVlYWmjZtikmTJlVptWHFihVITU3FoEGDzLKOHTuiZ8+e+Oyzz2Jqa/78+eA4DmPGjAkqD1WmBFFVSDfUH91QVFSERx99FK+++mrEDNKrVq2CrusYOXKkWdakSRMMHjw4Zt1DEKQbGo5uiMSCBQtwxRVXoFmzZjHLSzRuSDfUH91QEZs3b0azZs1MQwEAtGjRAt26dcP//ve/ardPNC5IN5BuqAuQR2Ic+eCDDzBmzBhcf/31mD9/PiRJwrfffoujR4+iV69eKC0txYABA8DzvOka++yzz+Kyyy7Dtm3b0KpVK7OtJUuWoH379nj99dchCAIcDgcAYNOmTThw4ACmT5+OtLQ0tGrVCh9++CFGjx6NSZMm4amnnsLx48fx6KOPorCwEAsXLowq75EjR3DfffchJycHJSUleOutt9CvXz/s2bMHTZo0wbRp03Dq1Cns2rXLdMkNXWk3OHz4MC677DK0bdsWc+fOhdfrxWOPPYa8vDxs27YNSUlJZt033ngDl156Kd5//33s2bMHDz/8MLKysvD888+bdTiOw8SJE/Hee+9FlX/Xrl3o2LEjOI4LKu/cuTN27doV/T8qAgsWLMBll12Gli1bxnQeQVQG0g31Szc8/vjjuPDCCzFs2LCIcV527dqFzMxMpKWlhbX/n//8p8L2CcKAdEPD0g2hbNq0CXv27MHUqVMrrEsQgZBuqF+6Ye/evUhJSYHH40H37t0xbdo03HDDDeZxr9cLq9Uadp7VasXOnTsrbJ8gDEg3kG6oMzAiLui6zlq2bMmGDBkStc7rr7/OOI5jO3bsMMsKCgqYw+FgDz74oFmWk5PD0tPTmdPpDDo/Ly+PWSwWdujQoaDr5uTksDFjxgTVXbFiBeM4jv3yyy+MMcbWrVvHALCNGzdGlE1VVeZ2u1liYiJ7++23zfKJEyeyrl27htUPLZ8yZQpzOBysoKDALNu5cyfjOI7985//NMsAsIsvvjisrbZt2waVCYLAbrvttoiyGgwcODDi87733ntZ+/btyz03kK1btzIAQfcdSkXPjyCiQbqhfumGzZs3M5vNxnbu3MkYY+yJJ55gDocjqM4f//hH1rFjx7BzX3rpJWaxWMptnyAMSDc0PN0QypQpU5jNZmPFxcXl1iOIQEg31C/d8Nprr7E33niDrVu3ji1btowNHjyYAWCLFy826/zrX/9igiCwo0ePmmWlpaUsJSWFSZJUbvsEYUC6gXRDXYL2bcaJ3bt348iRI2a8rEh8/fXX6NatW1CAzSZNmmDQoEH45ptvguoOGDDAXBUIpEePHkErCXv27MHBgwcxatQoqKpqfvLy8sDzfLkr5t9//z0GDRqE9PR0iKKIhIQEOJ3OIHfjyvL111/jiiuuQJMmTcyyTp064fzzzw+7t0DXYADo0qULjhw5ElSmquo58+yZN28eLBYLRowYcU6uRzQuSDfUH93AGMO9996Le+65B506daqRaxCEAemGhq0bdF3HwoULMXToUCQnJ9eIXETDhHRD/dENAHD//ffj3nvvxYABA3DDDTdgxYoV6NOnD/7+97+bdW655RYkJSVh0qRJ2LdvH44cOYI//vGPcDqdYZ5OBBEN0g2kG+oSZEiMEwUFBQCA5s2bR61TWFiIrKyssPKsrCycOXMmrCwSoeWnT58GANx4442wWCzmJyEhAZqm4fDhwxHbOXToEAYPHgxN0/D222/j22+/xcaNG5GZmQmv1xv9RuNwb6mpqUHfJUmCLMsxXzMtLQ3FxcURZQlUMOXBGMPChQtx9dVXV/ocgogF0g31Rzd88MEH2LlzJyZPnoyioiIUFRWZ9xz473joHoIg3dDwdEMg69atw/HjxzF27NiY5SQaN6Qb6o9uiATP87jpppuwc+dOeDweAH5DzsKFC/HLL7+gbdu2aNWqFY4fP46JEyciOzs7ZnmJxgnpBtINdQmKkRgn0tPTAQDHjh2LWqdJkybYvXt3WPnJkyfDfojRLNCh5cZ5b7zxBvr06RNWP5qiWblyJZxOJ5YuXWp2NFVVwzphZWnSpAny8/PDyk+ePIkOHTpUqc2K6NSpE9asWQPGWNBz2bVrF7p3716pNr755hscOnQoLFszQcQL0g31Rzfs2rULhYWFyM3NDTuWlpaGRx55BM8//zw6deqEkydPorCwMChO4q5du8iTkag0pBsanm4IZP78+UhNTcU111wTN/mJxgHphvqjG2JhyJAhOHToEPbs2QObzYY2bdpg6NCh5WZ0JYhASDeQbqhLkEdinOjYsSNatmyJWbNmRa1zySWXYPv27UGdu7CwEGvWrMEll1xSpet26tQJLVu2xL59+9C7d++wT7SO7fF4wHFcUCr3RYsWQVXVoHqSJFVqxeCSSy7BF198gcLCQrNs9+7d2LZtW5XvrSKuvvpqFBYW4osvvjDL9uzZg82bN1d64D5//nwkJibiuuuuqxEZCYJ0Q/3RDbfeeivWrVsX9Jk4cSJsNhvWrVuHP/3pTwCAwYMHg+d5LFmyxDy3sLAQq1atIqMBUWlINzQ83WAgyzKWLl2K4cOHRwyiThDlQbqh/uiGSOi6jsWLF6Nr166w2+1BxwRBQOfOndGmTRvs2rULa9aswR133BGXeyAaPqQbSDfUKWovPGPDY+HChYzjODZ8+HD20UcfsRUrVrC///3v7H//+x9jjLGSkhKWm5vL2rZtyxYsWMCWLVvGevfuzVJTU4MCmubk5LB77703rP28vDw2dOjQsPJFixYxURTZnXfeyZYvX86++OIL9t///pfddNNNbPfu3Yyx8OCn27ZtYzzPs5EjR7I1a9aw119/nbVu3ZqlpqYGXfuVV15hgiCw+fPns40bN7L9+/czxsKDnx46dIilpqay3r17s2XLlrEFCxawtm3bstzcXFZSUmLWA8BeeumlIPlfffVVFvpTrEzwU8YYGzJkCGvVqhVbtGgRW758OevevTs7//zzmaIoZp2nnnqKCYLADhw4EHSuoiisadOmbNy4cVHbX79+PVu8eDF78sknGQD2wgsvsMWLF1PSFSImSDfUL90QSLSECnfeeSdLTU1l//3vf9nnn3/O8vLyWIsWLVhRUVGFshGEAemGhqcbGGNs6dKlDABbs2ZNhfIQRCRIN9QP3XDgwAGWl5fH3nrrLbZmzRq2ePFidsUVVzCO49jSpUuD2v/rX//Kli5dyr744gv2yiuvsCZNmrA//vGPFcpFEIGQbiDdUFcgQ2KcWb58OevTpw+z2WwsNTWVXXHFFWzz5s3m8QMHDrDhw4ezpKQklpCQwAYNGsS2bdsW1EasHZsxxlatWsXy8vKYw+FgDoeDde3alT300EPmpDZSFqXZs2ez8847j9lsNta3b1/2448/hl27uLiY3XzzzSw9PZ0BYBMnTmSMRc6utHXrVjZo0CCWkJDAkpKS2PDhw8MG4ZXt2IHXKo+ioiJ22223sdTUVJaYmMiGDx8elPWIMf9gH4CplAw++eQTBoB99tlnUdvPy8tjAMI+lZGNIAIh3VB/dENonUjGAq/Xyx566CGWmZnJ7HY7GzhwoJnNlSBigXRDw9INjDE2YsQIlp2dzTRNq1AegogG6Ya6rxsKCgrYddddx1q2bMkkSWKJiYlswIABbOXKlWHt33LLLSwrK4tJksQ6duzIXn75ZaaqaoVyEUQopBtIN9QFOMYYi6uLI0EQBEEQBEEQBEEQBEEQDQ6KkUgQBEEQBEEQBEEQBEEQRIWQIZEgCIIgCIIgCIIgCIIgiAohQyJBEARBEARBEARBEARBEBVChkSCIAiCIAiCIAiCIAiCICqEDIkEQRAEQRAEQRAEQRAEQVSIWNsCVAdd13Hs2DEkJSWB47jaFocgahTGGEpLS9G8eXPwPK0BlAfpBqIxQbqh8pBuIBoTpBsqD+kGojFBuqHykG4gGhOx6IZ6bUg8duwYWrVqVdtiEMQ55fDhw2jZsmVti1GnId1ANEZIN1QM6QaiMUK6oWJINxCNEdINFUO6gWiMVEY31GtDYlJSEgD/jSYnJ9eyNAQRGyecXhR6fUizSWiWaCu3rltRsf/EafTr1tH83RPRId1AhOJWVJTIKpKtIhIs9frVF0ZJSQlatWpFuqESkG4g6jux6DLSDZWHdANRXzlw4AAWLVoETdPQu3dvDBw4sELPuZNnzqBDmzakGyoB6QaiPrN161Z89tlnAIAePXrg6quvLtfTMBbdUK9nU4aSTE5Opo5N1DtEewKSZBUplZgMuJxe8PYEACC3+kpAuoEIJRlAs9oWooYh3VAxpBuI+k5VdBnphooh3UDURxRFwapVq2CxWHD++edj+PDhMfV30g0VQ7qBqK8cOnQIa9euhc1mQ+/evXHNNddUus9Xpl69NiQSRH0mwVJ5z6gUq4g0m1TDEhEEQRAEQRAEUR+wWCwYMWIEvv/+e9x4441kGCQIwqRVq1bo3bs3RFHE4MGD464fyJBIEPWABItY4fZngiAIgiAIgiAaD7m5ucjNza1tMQiCqAMwxsAYA8/z4DgO11xzDYCa8T6mNE0EQRAEQRAEQRAEUcdRFAUffvgh8vPza1sUgiDqEIwxfPHFF/jggw+gaRoAvwGxpjyVyZBIELWAW1Fx3OmFW1GD/k0QBEEQBEEQBBGKrutYunQpfv31VyxYsMA0FhAE0bhhjGHlypX49ttvsWfPHvz+++81fk3a2kwQtUCxrOKMx2d+N/7d0LLJEgRBEARBEARRPRhjWLFiBXbt2gVBEHDDDTdAEITaFosgiFqGMYZPPvkEP//8MwBg6NCh6NChQ41fl6wWBFGDuBUVxSGZmd2KCp+qwWERkGI92wUD/00QRMVE6l8EQRCNHUM3ym65tkUhCCJOfPPNN9i0aRMAYPjw4cjJyalliQiCqG10XcfHH3+Mbdu2geM4XHfddejZs+c5uTbNvAiiBgn0PDQMHcWyCqeioYldMsvICEIQsROpfxEEQTR2DN3oIkMiQTQItmzZgrVr1wIArrrqKnTp0qWWJSIIorbRNA1Lly7Fjh07wHEchg8fjm7dup2z69PMiyBqEMPLMJLnIXkgEkT1oL5EEERDpyqe14ZOdGjWmhSNIIhzwIEDB7B8+XIAQL9+/dCnT59aloggiLpAQUEBfvvtN/A8j5EjR6JTp07n9Po0+yKIGiTBQlsuCaKmoP5FEERDpyqe14ZuLNF9FVcmCKJO06xZM+Tk5CA5ORkDBw6sbXEIgqgjZGZm4pZbboGiKGjfvv05vz7NwAiiBgn0JACAUy4ZRV4FDABgIyMIQRAEQRBRIc/rypGbm4uDBw+Gld9zzz34v//7v1qQiCDig81mw9ixY8FxHDiOq7A+xY8miIaLLMsoLi5GZmYmAP+7r7bga+3KBFHHcSsqjju9cCtqldswPAmKZf9L/YRLhlNVIQk8JJ6rdvsEQRAEQTRcEiwishNp4bEiNm7ciOPHj5uf1atXAwBGjhxZy5IRROy4XC789NNP5ndRFCudoTlw7kEQRMPB6/Vi7ty5eO+995Cfn1/b4pBHIkFEIx6JHEI9CdJsFnhUDVkOK3w6o0QRBEEQBEEQ1SQjIyPo+/PPP4+2bdsiLy+vliQiiKrh8/kwf/58HDt2DB6PB5dccklM55MXM0E0PNxuN+bOnYvjx4/DZrNBVWt/oYA0DEFEIV4vYp+qIV/VkCSJ8KoaimUVHDxokWRHE7tEL3qCOIdE2/JDW4EIgiAaBj6fD3PnzsWDDz4YdSuoLMuQ5bNZrUtKSs6VeAQRFU3TsHjxYhw7dgwJCQno3LlzzG1Q/GiCaFg4nU7MmTMH+fn5SEhIwIQJE5CVlRW1/rma05CWIYgoVOVFHNpxje3Mqq6DA+BSNegag8Bx8OkM2Yk2cws1GTAIovpU9PKM5mkcDw9kgiAIovb56KOPUFRUhFtvvTVqnRkzZuCpp546d0IRRAUwxvDJJ59g7969EEURY8aMQXp6em2LRRBELVJSUoLZs2ejoKAAiYmJmDBhQpgHfijnak5DMRIJIkbKi50YGJfEraiQVQ1pNgsSLSJUBogch3SHhJZJNtMTkWKZEER0Khur1Kh3yiWX259SrGJET+Bo5dWRiSAIgjj3/Oc//8HVV1+N5s2bR60zdepUFBcXm5/Dhw+fQwkJIpx169Zhy5Yt4DgOI0eORMuWLWtbpAaBpmmYNm0a2rRpA7vdjrZt2+Lpp58GY6y2RSOIcikuLsasWbNQUFCAlJQUTJo0qUIjIhDbnKY6kNsFQZRRWTfg8qz8Es9B1XUUuGUcK/XAq+lomWhDy2Q7TrlkMACZDmvQeRTLhCCiU9lVNaOewyJEfHkG9u/sRFvY+bF4IJP3Yu1y9OhRPPLII1ixYgXcbjfatWuHWbNmoXfv3rUtGkEQtczBgwexZs0aLF26tNx6VqsVVqv1HElFEOWzceNGfP311wCAYcOGoUOHDrUsUcPhhRdewJtvvon3338fXbt2xaZNmzBp0iSkpKRg8uTJtS0eQUTFbrcjOTkZHMdhwoQJSE1NrdR55yq8Ac2ACKKMyhoHQg1/gQYKn87gVXV4VA0a829hZmXtZTgQ0UuKYpkQRHQqa2gPrBfLluaalImIP4WFhejfvz8uv/xyrFixAhkZGfjtt9+QlpZW26IRBFEHmDVrFjIzMzF06NDaFoVoIJyLeGOGd1xeXh4uuOCCGrlGY+W7777D9ddfb+qE3NxcLFiwAD/++GMtS0YQ5SNJEm655Rb4fD4kJSXVtjhh0CyIIMqIZBwIHTxEGkwEGigknoNN4OGwCJAEHpLAI9NhDatHhkOCqByVNbRXVC+exj8y/tceL7zwAlq1aoVZs2aZZW3atKlFiQiCqCvouo5Zs2Zh4sSJEEXS0UR8OBfj94svvhgtW7ZEdnZ2jbTfmOnXrx9mzpyJPXv2oEOHDti6dSu++eYbvPLKKxHrUyImojY5ceIEfv/9d/Tv3x9A3faep7csQZQRyThQLKs46fTilAtItlogazqKvAqyHFbkpgYbJlKs/uQqosCjiV0K2z5JXkwEUXuQ8a9hsHz5cgwZMgQjR47El19+iRYtWuCee+7BHXfcEbE+TQgIovGwZs0aHDp0CLfddltti0I0IGpq/H7mzBnY7XbY7XYAKDemJ1F1Hn30UZSUlKBTp04QBAGapuHZZ5/F2LFjI9anRExEbXH06FHMnTsXXq8XDocDPXv2rG2RyoWSrRBEOaRYRfAckO+WsfeMEyddMjTGwJUdNzwUJZ4z/yZaBMiqFpaIIcHij81GxgyCoIQlRNXYt28f3nzzTbRv3x6ff/457r77bkyePBnvv/9+xPozZsxASkqK+WnVqtU5lphozJCeO7cMHjwYjDGKL0fElZoYv5eWlmL27NmYNWsWLXDVMIsWLcK8efMwf/58/Pzzz3j//ffxj3/8I+q4gRIxEbXBwYMHMXv2bHi9XrRq1QqdOnWqbZEqhCwaBFFGoFHQpzNz+7JVFKBpDBoYJCYg1WpBoiTiuNMLn6rBqWjgAPh0HRLPI8EiwKVoKJZVMhoSRBRoqz9RFXRdR+/evfHcc88BAHr16oVffvkFb731FiZOnBhWf+rUqXjwwQfN7yUlJWRMJKpNPJKzEQTROPF6vZg3bx6Ki4vRpEkT2oZfwzz88MN49NFHcfPNNwMAunfvjoMHD2LGjBkRxw11eSsp0TDZt28fFi5cCEVRkJubizFjxkCSpNoWq0JIcxFEGcY2ZreigYGhRZIduakibAKPJJsFVoFHul1CpsMalCE20SLAq+ngdMCn6VGzxhIEcZbArULnIpA50TDIzs5Gly5dgso6d+6MJUuWRKxPEwKiJqhqcjaCIBo3qqpi0aJFOHnyJBwOB8aNG4eEhITaFqtB43a7wfPBmzAFQYCu67UkEUGc5bfffsMHH3wATdPQrl07jBo1ChaLpbbFqhQ0siEaFdG8DgH/QD/f6a/Dczy4svoMQItEGxIlf1Zmj6JBVjUkWgQkSiJOumS4FQ0WgUOazYIMh5WMIQRRAYExC487veS1Q1SK/v37Y/fu3UFle/bsQU5OTi1JRNRlamqRorIGQorNShCEAWMMH3/8Mfbv3w9JkjB27FikpaXVtlgNnmuvvRbPPvssWrduja5du2Lz5s145ZVXKJYqUesUFxebRsSOHTtixIgR9cpDuf5IShBxwPAi4ACwkPIUq4hUmwVORUOS5DcS/lbgLNuizKNYVqAzQBJ4MABN7BJ8OoNP06EzBsY4sLK2ADKIEERlIa+diinPIOJ2u2tJqnPPlClT0K9fPzz33HMYNWoUfvzxR8ycORMzZ86sbdGIOkig56DxPR5GReN8et8TBFFZVq9ejV9++QU8z2PUqFGUofkc8a9//QvTpk3DPffcg/z8fDRv3hx33nkn/v73v9e2aEQjJyUlBYMGDcKRI0dwww03QBAEAOFj/rq6c6vWJTl69CgeeeQRrFixAm63G+3atcOsWbPQu3fv2haNaICkWEXIqganT4XOmJkk5WiJB4cZQ1O7hDSbBSlWv6dhsaxA1nSougarRUSa1YIsh9X0ZvRjMz0cfapGnlUEESO16bUTr5dzTb/ko22l/OGHH/D555/H/Xp1lYsuugjLli3D1KlTMX36dLRp0wavvfZa1OyLROMmcJEi3vEKi2UVJ11eFHp45KYm0DufIIioeDwe7NixAwBw3XXXoW3btrUsUeMhKSkJr732Gl577bXaFoUgAACapplGwz59+uDiiy8Gx3Hm8dDxSl2Nt1yrkhQWFqJ///64/PLLsWLFCmRkZOC3334jN2+ixvAnT1Fx0iUDgGkQPMwYin0KPKqGFKsFxbIKn64jxWqBwHPwahqSJQtaJtvDOnDg9wK3DJeiQeL9yqCuriAQBOEnXi/nmn7JR/La3LJlC1auXAmv1xv369Vlhg0bhmHDhtW2GEQ9INIiRbw8n1OsIgo9PHyaTsnVCKIeci7H6Ha7Hbfffjv27t2L888/v0avRRBE3cStqPju+x/x26/bcOvEibDb7QAQZEQEwsf8dXXnVq1K88ILL6BVq1aYNWuWWdamTZuo9WVZhizL5veSkpIalY9oeLgVFT5VQ6rNApvAQ9d17D3jBACIHCByPCSBN70OJZ7DSZcMBkDVWcT2AgchPp2BwW+gBOJnXFBVFfv376/y+QRBRCZeL+eafsmHGkR27tyJ5cuXAwB58BNEJYi353OCRURuagLyXTJ8qga3EmxMpIVEgqjbnAsvH5/PZ2ZfTUpKQq9evWrkOgRB1H2++uZb/PDVegDAtm3b0KdPn4j1QscrdTXeMl9xlZpj+fLl6N27N0aOHInMzEz06tUL77zzTtT6M2bMQEpKivlp1arVOZSWaAgUyyqcioZkqz8pytFSL447ZRS4Zcgag83i36KUnmBFdqINPp2hwOvDKaeMQo+CUy4Zx51eFLj9f/NdMs54fMgvK5d4DokWAXLZpCLFKlY7g7OmaVi8eDEWLlwYxydBENXDrag47vTCraj1+joJFhHZiba4xEyLRzuVYd++fViyZAkYY+jZsycGDhxY49ckiPpKTeoQ/y4HAU5FM8cHxnUMI4URR5EgiLpFPMbo5XHixAm8/vrr2L59e420TxBE/YAxhi+//NI0Ivbt1x8XX3xx7QoVB2rVkLhv3z68+eabaN++PT7//HPcfffdmDx5Mt5///2I9adOnYri4mLzc/jw4XMsMVHfCRw0FMsqNDBIAiBZeHDgIJZtSTYmAxLPwatoUBjgVlV4NR0nnV78XujCSZcXHPxJVzgAZzw+vxejKMClaOZWp+oaF4qLi3HkyJF6lcUpGs8//zw4jsMDDzwQtc57770HjuOCPjab7dwJSVSKWCbJ0SbylZngV3UyXpm2A+sUuGXsOFWCArcctX5dwK2oKNU5WCQJXbp0wbXXXhu2JYIgGiPR+nxNGfSM60k8hyZ2CV5Nx6FiN/LLQqfUtJGCIIjqUZMLgEVFRZg3bx7cbjd+/vlnMBa+q4kgiIaLMUZw+RSsXbsW69evBwBcfvnlGDJoYIMYu9fq6EbXdfTu3RvPPfccAKBXr1745Zdf8NZbb2HixIlh9a1WK6xW67kWk2hAhLoGp0gWiDwHjvnjE9hEAadcMpyKZtZJtIoAVNhFAU6fP/mKrnMAdCQmiUhPsPqNjmVbmMy24zR5aNKkCSZNmoTDhw/jmWeeiUubtcHGjRvx9ttvo0ePHhXWTU5Oxu7du83vDUHZNjRi2cobbftQZbYVVXXL8CmXjBMuGWk2C5KslqDMZ/kuGcYvyujrhR4f8suMiOkJ1XvP1OSWxmJZhZiSjuvHjEe77AzwfK2uBxJEnaFYVnHS6cUpF5BstSBJEs0QJZEMelXpp4HnGMlWJN6/k6FU9sdZ9mk6gLq7FYkgiJrF4/Fg3rx5cDqdyMjIwOjRo2kcSxD1nFjHDMWy30nhu3Vf45effwIADB48GH/4wx9qWtRzRq2OcLKzs9GlS5egss6dO2PJkiW1JBHRGHArKg6XeOD0qbAKPCSOB+MASeCh6gwlmgqPosGrqCj0+mATRbRKsuO4ywOXW4Mk8OA5Bo4TzFiIkWIZVAfGGIqLi5GamgoAaNq0qRljpT7idDoxduxYvPPOO5UyhnIch2bNmp0DyYiqEsskOZoxsDJGwqpOxo21f4+iQQnop/7Jv99gmOWwmgYGI0FSlqP6i1WhBtJ4GBYLCgrg9XqRlpkFAEhJTWgQXsoEES+M5CeFsgKPqsOtaGDw7xrITgz3aq9KfLTAc0KTrUgCD7soQBLIuE8QjRVFUbBgwQKcPn0aycnJGDduHO2qIYgGQKxjhhSrCI/bhYO/7QEAXHPNNbjoootqVMZzTa3OQvr37x/kdQQAe/bsQU5OTi1JRDRU3IqKU2VJUzgYW5c1JFgENE+0waNq0BmDReCR7/JnXlZVBh8AWVMg8IBbYeA5BpsoQBR4OESxxrYsffPNN/j6668xevRotG3btkaucS659957MXToUAwcOLBShkSn04mcnBzouo4LLrgAzz33HLp27Rq1PiViqttEMwZW12Mn0EAHIMhYl+mwwioKkHjOzM4O+F/sWQ4rOAAZDqt5/QSLGOaJWF77oceDPJ1DDKTVDeheXFyM2bNnw+v1Yty4cRQfmCAiYCQ/cZS96w2PRKMfhvbXWL2d3YoKWdWQaBHMNnJTE87qCKs/XiJtZSaIxomu61i6dCkOHz4Mm82GsWPHIjk5ubbFIggiDsQ6ZkiwiDgvMx0TJ07E0aNHK7Ujr75Rq6OdKVOmoF+/fnjuuecwatQo/Pjjj5g5cyZmzpxZm2IRDZBiWcUJlwxVZ7CKHGwiD5vAI80uwSrwOOXxQdF0pNksYODAcxwkEVBUBpHnYBME2EUNCRYLmtglSAKPzAAjRDz54YcfsHbtWgDAqVOn6r0hceHChfj555+xcePGStXv2LEj/vvf/6JHjx4oLi7GP/7xD/Tr1w+//vorWrZsGfGcGTNm4Kmnnoqn2EQ9INBAByDIWFee8TI3NTbvI3/yJGPL4tl4StEMhGEhFKqR0dnlcmHOnDkoKSlBeno6mjRpEnMbBNFYSLCIyInSv0P7a2UWMkK3MrsUDU3s/t0Bx51epFjFIG9H2spMEI2X7du3Y9euXRAEATfffDMyMzNrWySCIOJEZZ0fNE3D8ePHzTlreno60tPTa1q8WqFWRzwXXXQRli1bhqlTp2L69Olo06YNXnvtNYwdO7Y2xWrQ1GTsrrpMilVEM4cVRbKCYq8KHQxtUhKQk+qAW1Fx2uODV9UgcBxyku1gAAo8PqguGRaeQ4Lk9zQQeQ6KzpBkFWrk+W3ZsgUrV64EAOTl5aFv375xv8a55PDhw7j//vuxevXqSm/t+MMf/hAUP6Jfv37o3Lkz3n77bTz99NMRz5k6dSoefPBB83tJSQl5bTUCJJ4DV/bXbhEAVC82aTSPJZ+qwafrkAQ+YhzUiq5ZVc9Lr9eLuXPnoqCgACkpKRg/fjwcDkfM7RAEcbafSjyHg0UuMACZZaEMoo2LAhcTOACOMm/E6noZEwRxbjkX858ePXrg1KlTaN68Oe2uI4hGiKqq+PDDD7F3717cfPPNaNeuXW2LVKPU+uhn2LBhGDZsWG2L0WhoTIPf0EFDTqqIDEXFbwVOOBXVjKGWYBGRJIko9fkzOkplW5OSJBEWnoNVFGATeDh1f3zEJGvNbF3auXMnli9fDgDo06cP8vLy4n6Nc81PP/2E/Px8XHDBBWaZpmn46quv8MYbb0CWZQiCUG4bFosFvXr1wt69e6PWoURMtYPRxwK3D8drq3Jl2in1qSj1qUiwCKYhsaptAdE9ltyKauqF8jwP44nP58P8+fNx4sQJOBwOjB8/HikpKTVyLYJoDBj99bjTixNlcVKtol9vhI6LAnVbE7sEn6rBWeaNGMnbmCCIus25mP9wHIeBAwfWSNsEQdRtFEXBBx98gN9//x2iKDaKTO3V1qSapmH79u3IyclBWlpaPGQiapDqbLGrb0QaNCRYRLRMtuOkS0aSdPYZSAIPC8+jRFag6gyADdmJNjNmWmBW5orio1WF33//HR9++CEYY+jZsyeGDBlSpzK8VbWfX3nlldi+fXtQ2aRJk9CpUyc88sgjFRoRA699zTXXxCw3UbMYfYwDggzz1W2vsu1wAX+Nc32qBkn0xzJzlWVkjtRWpP4bTT+e6+yrqqpi0aJFZpyl8ePHN6htETRuIGoTY4cCAyJ6GANn9YmRqMUYA0g8F3FLcyCNdedHPCDdQFSWWPtZTc1/9u7diy1btuCGG26gBGg1COkGoi7j8/mwYMECHDhwABaLBWPGjEGbNm1qW6waJ+bUcg888AD+85//APB36ry8PFxwwQVo1aoV1q9fH2/5iDiTYPEPfhvD4DbFKiLRIpTFN/N7G7oVf8ZWV9lfo9zwPuQ5Lmz7IgBzm2OxrJrnGBONYlmttqxbt26Fruvo0qULrr322lo3IsarnyclJaFbt25BH4fDgfT0dHTr1g0AMGHCBEydOtU8Z/r06Vi1ahX27duHn3/+GePGjcPBgwfxxz/+Ma73SFSfFKuIJnYpKPtxPNpLsfq9AP1JkaL3rwyHFa1TEpDhsJrnMsA0boo8h1MuLwrcfu8jt6LiQJELB4tcyHfJOOPx4ZRLNq9TFf1YGTljbcvlU8DzPCwWC24afTN0R0pc2q8taNxAnEvK65OG8SHDYUVuqsNcJAjt94G6CDg7dvLpzHzvR7tOPMcGDR3SDURVibWf1cT859ixY1i0aBF+/fVXbNiwIW7tEqQbiPqD1+vFnDlzcODAAUiShHHjxiGrZau4zQ3qMjEbEj/88EOcf/75AID//e9/2L9/P3bt2oUpU6bgsccei7uABFFVEiwiJFGAS9HMgUaxrMKn62AM8Om6We7TGSSBR7LVghSriANFbtP4YBA6aAmdaFSHG264AYMHD8bw4cPB8zF3y7hzLvv5oUOHcPz4cfN7YWEh7rjjDnTu3BnXXHMNSkpK8N1336FLly5xvS5RfYyBeXqCNS4D9MCBfkWThFBvBOPcJEkEByBREuFVNJxwyThS4gHg78MnXTJOuGRwQJDhsaqT/khyVtW4aLTl1jmMHj0at912GxxNs+q9UYLGDcS5pDzdYRwLXECIRKjRwejTxlbnwDiJodeJ59igoUO6gagqtd3Pzpw5g/nz50NRFJx33nno169frcjRUCHdQNQHZFnG7NmzceTIEdhsNkyYMAGtW7cOGh/E0+GgrhGz9j19+jSaNWsGAPjss88wcuRIdOjQAbfddhtef/31uAtIELESaGAI3cqQYhUhqxb4RB0ATG9F/3GbaUQ84ZLh9KmwW4So2x6ru93R6XTC4XCA4zjwPB+UYKS2qcl+HrqSGPr91VdfxauvvlqtaxC1Szy29lW0DSk0Y7NxvVKfikLZn4WdMQYOgMBzZltZDis4+L0ZjfiH+S4ZvjJdYJRVVv5Icla0RTtS+4wxnD60H+mtcpFiFSEIApo1a2YOPOqzUYLGDcS5JFKfDI15KKtapcMo+D2Z3fDpOrIctrAtzYYHdejCBlExpBuIqlKb/czlcmHu3LlwuVxo1qwZRo0aValQPUTlId1A1AckSUJGRgaKi4sxfvx48zcbOA5pyPkpYnZ9ysrKwo4dO6BpGlauXIlBgwYBANxuNylRok4QuAoQuiU5weLPvqzoDKrOTG/FQO+DLIcViRYBHIcgT4NI25urSlFREWbOnIn//e9/0HW9urccd6ifE9XhlEvGviIX9p5xVqmvhE7KI63mBXojBPZ5DoCiMTgVFRzHIdlqQaJ01vifm+pATtmWRqPMKgpwhnguV9YLsDLbIkOJ1P6XX36JpYsXYcvX68ISutT3cBSkT4hQqrJCX9lzIvUZM4aqzpCdaENmWTgGI+ZheW0Wyyp8mg6JDw57Es2Duq54H+Tn5+Pjjz+uVRkqgnQDURtUp48aidAKCwuRmpqKsWPHUrK/GoB0A1GXMXSIR9Vw/fXX44477jCNiEDw+KC2vadrkpjvaNKkSRg1ahSys7ODslP98MMP6NSpU9wFJOJDYwr+HeqNELoSIPEcuLLjPB8eD9FIsHLSJUPig2MVxmNVobS0FLNnz0ZpaSkOHz4MWZZht9ur1FZNQf2cqAqGd1+BR4asaACDaagPrFORLgrtZ9ESJwWe71M1yKqGJElEm5QEMPhjnxrZpMsjkudy4N9YZI8kW0XX27BhA7788ksAQNOmTcuVtT5C+oQIpSrv0ljOCe2r0XYUHHd6cbTEg8OMoW2aw3z/BxK4YyHadaN5Hxhyn+ux1/HjxzFnzhwUFhaes2tWBdINRG1QnbH8Rx99hGPHjsFut2PcuHFITEystjyNaY5WWUg3EHWVoqIirPvmO7S/qB8AGxISbUhNTY1avyHvUoj5rp588kl069YNhw8fxsiRI81VGEEQ8Oijj8ZdQCI+NBS32sq8bEM7rGE4NIyCPp2BAeB5PmrWRaOOTw9O3R44WajKi9/j8WDu3LkoLCxESmoqhgwfBSZaKnXuuYT6OVEVjBiEsqbDJvJomhC+AlcZXVRZw56BPx7q2XatohBTvwzVGYHfA/t5vPRoYPs/bNqEVatWAQAuv/xyXHzxxVVut65C+oQIpSoZVGM5J7SvRhrIuxXVDG/iVjVYS3ikJ1iD+rzRVlUWD2rLqHj48GHMmzcPsiwjOzu7xq4TD0g3ELVhRCsv/EFFcvTt2xdHjx7FyJEjkZ6eHhd5GsocLZ6QbiDqIgUFBZg9ezZKSkrACwLOG3hlbYtUq8SsrWbPno3Ro0eHuXGPGTMGCxcujJtgRHypyqC9LlKVl22oUbAy3kblGQyN6x53enHS5UWhh0duakKF8hQ5XZg/bx5O5ecjMTERV980GrJoDfPYqgtQPyeqghGDsERWoDMgyWqJOLkO/BuJaIa9wIQHhqehUe5TNYg857+2rACIz3bgU2XJWdJsFkgCj0SLEDc9+uuvv+Lzzz4DAPTofTEuvfTSuLRb1yB9QoRi9E1je39l+mplVvVDYyGWt+h3yiXjpEsGz3HgGAevppt1A41/sY45KmNUjDUWa2XZv38/FixYAEVR0Lp1awwbNgz3339/XNquCUg3ELVhRIvURysrR+vWrfHnP/8Zohg/WRvKHC2ekG4gKkPgOz9wXlATnDp1CrNnz4bT6UTTpk1xef8/1Ln5+7km5hiJkyZNQnFxcVh5aWkpJk2aFBehiPjTEOJsAbFlaYuUZRGI/ixCYytWlD02xSpC4nn4ND3sWCiKomDRokU4deI4rDY7xo8fj1ZZTetszATq50Q0yostZMQgbNckEVmJtoi/7Wj9L1q7geVGXzzpkoP65OESD/YXu1FaZsAMjWVWnXhIhk+yR9HgUjRIohBRj8Z6jb1792Lp0qVgjKFT9x4YPGggOI6r+MQI1HYstoogfUJEIpZYpLG2acRCLO8dbvRtm0WA1cJD1XXTsGe8m0N3NMRKeXGS4n3/e/fuDcoiWx9it5FuIGoyflgs7+Xy5NiyZQtOnDhhfo+nERFoOHO0eEK6gagMgfOCky4vDhS5a2RMfOLECbz33ntwOp3IzMzExIkTkZycHPfr1Ddi1liMsYiTnSNHjiAlJSUuQhE1T32Nx1GRR0KB2+9hkOWwotSnmv/OTXUAiJzEIVqGZ4PQ8sBzclMTgrZARePo0aM4efQIRIuE60aOQmZmpnk/dRHq50Q0KrNqX5V4INHaDSw3+pleNuE3JveyqsGn6dBEAQkCj6yyjMyR2jC+V1b3ZTqssIoCJJ5DqU8Nyu5cGfmj4Xa7wRhD165dMfyG68HzMa/rmZTE0RBTE5A+ISIRqxdOZcYtKVbRjJda4Jbh05m5mCjxHA4Uucys7UmSCLeiIcUqwiWJ8CgaJJ4L0l+nXDJKfSocFiFi/MRYCNWLKVbRr7ui6JRYsdls4HkeHTp0wMiRIyGKIrxeb7XarGlINzQeovXfeMUPi9R+LO/laHLs2rULy5cvh8ViwZ133okmTZpUW1aiYkg3EJXBGD9IPIeTLtl07onn/Pro0aOYO3cuvF4vsrOzMW7cOCQkJMSt/fpMpZ9yr169wHEcOI7DlVdeGbQao2ka9u/fj6uuuqpGhCTiT0ONx3HSJSPfLQMAHBZ/Vq/A11C+66yhMdMBHChyw6frAGxRVwNDt1XKqt8zCUCFK4jGwCazRUsMvn44SlUASU3iMmmoCaifEwbRBv2BL+3jTm/cFiMMA0CJrMCnasgoMwYGGgZg9a/aH3d6zXAFbkWFTRSQ5bDCXpaR3SiPtEhQ3vZCINzIGDi58OkMZzw+SBEGKbEaRXr06IHU1FS0aNGiWkZEAEiug17NAOkTonxiNSBUdhHDiJfqVjQwAE3skqk3Trr84wNJFOBTNZT6VIg8B1VnUHSG/cUuHC31oEWSHXaLgCKvAlnTUCQrSCwzTEbTeVVZoHUrGny6HtXTORZatmyJ2267DU2bNq3zWU1JN9RfquqIUNPzjkjtV3fL8KFDh7BkyRIwxtCtWzekpaXFR1giKqQbiFgIHEfYLYLpZBA4P6mO85TP58OCBQvg9XrRqlUr3HLLLbDZIudXaIxU+mnecMMNAPzu3UOGDAnKUiVJEnJzc3HTTTfFXUCiZqhP8TgC4x+U+lTTmyCSMshyWM2/dosAqcyTyPBC8Gk6AL9xsVhW4dN0SEJ45uZIGIOURIsQtP0hmoJijOFkUSnc8A/o27Vrh98LXXCpap2MiwhQPyfOEm3Qb7y0jzu9UScF5b20y/MKZvDHHrWUGdYk0V8uiUJQ2IFAY6axGJDlsJmGwlCDoZFUKTR2WuB9+pMuaGU6IvICQXl6szJGkdOnT8NqtSIpKQmAP9aSW1FR7KmeQbYu6hKA9AkRXyo7bgnUD07f2YQqRgxXrqxOvupfEPSUGRx1xuCUVSg6g1fVkemwggGwCQIY/AuVxnboSH0uVkPJKZeMQq+CJKnqcVc3b96MrKwsNG/eHACQlZVVpXbONaQb6i9VNQjW9LwjUvvV8XY8deoUFixYAFVV0aFDBwwdOjTm8CP1dfdXbUK6gYhGRf0p2vykOosYkiTh+uuvxw8//IBRo0ZBkqTq30gDotJP84knngAA5ObmYvTo0WSNrefEayvBucBQAByAUp9/C1+01fv0BKu5ImEHwrwQ0mwWJEkiEiURdosAwFbpF3zgICXatkmjnDGG1atXY8eOHbh6xGiklG2BlkQ+LH5bXYL6OWFQ0aC/vOPlvbRDjxnJTJqVTfAtAo8ki3/iHrqlOTDOqTFYCFwMiKTXjJVJn6rBqWimd1JgDFWHRUCJrEDWdTjEs4bKSImWqqo3i4qKMHv2bIiiiAkTJiA1NbXCZ1XfIX1CxJNY+5/dIqDUp+JoqRfFsoL2TRKRm+ow+3WSJJphC5w+FV5Nh4XnUCT7IOs6SmQFqWVjBmOLtOGRGIlYDSUMgMhzSI6QlKoyfP/99/j8889ht9tx11131at4TTWlG44ePYpHHnkEK1asgNvtRrt27TBr1iz07t07Lu3XB2raeFVVg2BNzzvi2X5paSnmzZsHr9eLFi1aYMSIEVXaOdCQ3+81BY0biGhUtj+F6qiq6CxVVU1v2Pbt26Ndu3ZVjmPekIlZq02cOBGA39UzPz8fuq4HHW/dunV8JCOIMsytjZqOVJsFtgo8CEMVTaAXAgOg6Bp8OkN6jIOOaIOUSArq66+/xoYNGwAA8plTSGiZXXak8obL2oT6OVHRoLy84+W9tEOPMQAq03HKLSPZakGLRBsyyzyL810yfAFbmkOReA5SWUxEAOZWBuCs9+FJlwyfriPVaonoidjELsEqCtBlBQ7RryuM5AfxmgQ4nU7MmTMHpaWlaNq0KSRJiphdtqFC+oSoSUINJ4FexiWyAq+mgVNgejQH9n1jUcGIrcRzHCRRAMc46AywiuGxEQvcMg4UuZHlsJYbN7Eig44Rf7Uqff+rr77CunXrAPi3AhpezvWNeOqGwsJC9O/fH5dffjlWrFiBjIwM/Pbbb41uO2pNG6/qkyNCVfB6vZg3bx6Ki4uRnp6OW265BRaLpUpt1afdX3UNGjcQgbgV/+6CREvF78xQHVWezor0nt65cyc+//xzTJgwwYyJSkbEyMSs2X777Tfcdttt+O6774LKjaComqbFTTiifhGvVdDAdjyKhiMlHqiMQeA4ZCXagryJAq8VODFPtAjmdqYEi4jc1HAPo3gRqqB++OEHc4A/ZMgQ9OjRI2K9ugz1c6I6lPdbDz2WJImwcDzcqgaNAc3KDHkpVr+3ULSYhIA/ZqERK9EZ4NlobIU2whlIAo/MkHAI4QP8s1ujo3lClkc0/efxeDBnzhycOXMGqampGD9+PBISEsytF4YxoyFD+oSoCpUdU4TGPvapGhwWARwAHUBTu4RUqyWqd0KxrMKn6+A4wKvq8Pg02EQharbmwFjMhiHRrahBMZcrs52qKmMCxhjWrl2Lb775BgAwYMAAXHbZZfV2khNP3fDCCy+gVatWmDVrllnWpk2buMlaXyDjVfXgOA6JiYlwOp0YO3ZstZIq1Kdxf12Dxg1EIMWyClfZrqLqxj0MbTfwPb19+3YsW7YMjDH8+OOPVY7H2VjCGsR8Z7feeitEUcQnn3yC7Ozsejt4IeJPvFZBA9vJd3pxtNQDSRTQPNFmblMMTHhiKJTfzjjhUjS0SLSFxVQzqMpLPRZlsGXLFqxcuRIAkJeXh759+8al3XMN9XMi3gQa+gMTFvh0BkngYRV42C0CTrllyJqOFkl20zOxMlsJjXhnXk2HrOlQdR1N7RJ4no/YxyKtWIa2HVinov5q6C2fqpmxHUWmY968ecjPz0diYiLGjx9vbj9sTJM90idEVajsmML4Nfk03W/MK9u9wACkWS1hMZVD+7VP1ZBq9XscOX0e/+KEpsOp+j0V7ZbgUCqBsZgDZQ0Ms2C06wjwnqjuO58xhpUrV+LHH38EAAwaNAj9+vWLuZ26RDx1w/LlyzFkyBCMHDkSX375JVq0aIF77rkHd9xxR8T6sixDlmXze0lJSZWvXZcwft+RFtyJirFarRgzZgyKi4sbnTdrXYLGDUQgkRYAQxMn5rvkcvMoGERLxrh582YsX74cANCzZ08MHjy4yvI2lrAGMd/Zli1b8NNPP6FTp041IQ9RQ9S00SrSoLmqBHbqUlmATRSRYhORWxZnMFLCk2JZhdOn+bMrehW0TBZj2i5Y3vOprDLYsWOHqYD69u2LvLy8cq9Tl5UM9XMiGrEkUgkkMNZpYMICfx896w14yiND0Rk4RDb8R4pb6Fb8W5GblU3sj5R6oeg6bKKAZGtscY2iTcIq6q+GrpFVDWc8PqiqinXLl+Lo0aOw2+0YP368uUUi8DqVfX71GdInRFWorLE9o6zfF3kVeFQNPOePeeiPgyhALEvKFGkrshGjNa3M8GgTeThEAWqZlvJpetiCpN0iIM0ulcVZDpTVZsoamATKOLe67/yNGzeaRsRrrrkGF110Ucxt1DXiqRv27duHN998Ew8++CD+9re/YePGjZg8eTIkSTK3SQYyY8YMPPXUU9W+bl2lqr+3hvoeqoj9+/cjNzcXHMdBEISg9zVx7qFxAxFI6Jg5kmHRyIcQLY+CQWgyxgSLiB9//BErVqwAAJzf6wJcdPlAeDUdCVWIjRpJvoZKzHfXpUsXnD59uiZkIWqQmjZaFcuqmciguu0HKouWyXYklW1JClUggZN9iefQIsnmT5ig6TjpkpGbmlApbyK3omLvGSeKZBWpVhHtmiSa9xS6WhF4TmB7uq7j66+/BmMMvXr1wuDBgyOunlV12+S5hvo5EY1YEqkEEphJNVrCghSriBaJdnNF0SDQm9GIZRaYWdnY2phgEaAzBsYYdB1w+lSoOguSx62oOFWWfTV0u3N5hv6K+mugAbJYViEoHpSUlECSJIwdOxaZmZlh16js86vvEzvSJ0RVqOwOggSLCElUwaD4YxwKPDSdQdF1lCqA0+dGkazihMuL8zNTgoyJXk2HR9UgyIDGAFnToWkaBJ5Hs0QbJIGHLyBMChC5nwYe86lakHeiQXXf+b169cLOnTtx/vnno2fPnlVqo64RT92g6zp69+6N5557DoD/ef3yyy946623IhoSp06digcffND8XlJSglatWsVFlrpAVX9vdXmRu6bYsGEDVq1ahYsuughXX301eb/VAWjcQJRHJMOikQ+hIp0Xqhu/++47rF69GgDQp08f9Oifh0KvAo7jqqwDG0tYg5jv8IUXXsBf//pXPPfcc+jevXtYANr6lDWuMVHTRquaar+igKmBQdONbIyGJ0CgF0FFxo9SnwavqqGU48xECyddXhR6eOSmJoTFMAttj+d5jB8/Hj/88APy8vKiDkICn1NdVjLUz4loVJRIRVY1lMoKZFUzs53qZf0xkkdQ6MqgEc80Uh0OMGOZBU7uOQCqznDa7YUODnZBgFXkwABYeA4lsgKfqiHDYUW+S8bvRS5wZW6RualnjX9GZudI9xlLsGZ/PRsmTZqEM2fOoEWLFhHvN5qxNfTZ1veJHekTojwK3GdjHJaXvKQ8DI9AY6FC4jmk+CzgAJT6VBR6Fbh8/pjLgdewCTzsooBkqwWSwONwiRsuRYcoMFgFvyfCiTIvh5zUs/3Tp2pmHGYAQfrDYRGQlRieWK0q73xN08DzPDiOg8ViwYQJExqUkSOeuiE7OxtdunQJKuvcuTOWLFkSsb7VaoXVWrXfW32gqmPMqo7n6+uC1y+//IJVq1YB8P/eGlL/qs/QuKHhUZM6IsEiItMBcw5fUV3j+qqq4tdffwUAXHLJJbjiiivgUTVwHFcnHX3qGjE/oYEDBwIArrzyyqByCn5at6nqgCJaXLN4tV9dIk32jS3Q5XkChMZHaJlkg1fTzYzQHkWDT9Wh8OHbmgLbseHs7z0hIQGXX355ufLWZeNhINTPiWiU9xtOsIiwiv7tBarOYCnLquzTdJQqKpw+1Yw3ZhgPUqyRwxBEimFiGCRFnoNT0cwkLImSCAvPAUwExzMkSyK8mg5fmbeRV/Vn+5NEAT5Nh6rp4HnOjK1mGOocASETAhchPIpWrv4zzmeMofj0KWRn+7O0OxwOOByOoLrlTdKiPdu67L1cGUifEOURKXlJIJWdfPhUDTLOehoHJkKRNR2FHv/W5z0FpZDL9IOmM/hU/79bJtvh03TImgeSwCFRElHq809KWIgchtwcYMZkNvSHMV6qLoqiYNGiRcjOzsYVV1wBoOFljoynbujfvz92794dVLZnzx7k5ORUX9AGRnl9qqrj1Pq44LV//3589NFHAICLL74Y/fv3r12BCBMaNzQ84qUjoumvqrQviiLGjRuHHTt24MILLzTPrS86rLaJ+SkZ2WiJxkG0uGaxUNMrEJUZBEXzZAT8XlA5AV5QbsVvCOE4wCGKZoKXQPkTLCJcRYX4z/vvY8CAAejdu3dc76u2oX5OVJUUq4hmDiuKZMVvgNP8SU8AQGcMB4rcyE1NMI0HSllihHxVQ6bjrH75vdCFYyUepNgt6JGZguxEG447vfBpOtwqg4XjzIyqpT4Vis5gtXBQNeCkW0aiRQRjDKrub58DUCorKPGp5lbljJBkLtEGJdH0X+BCSxO7hG0bvsEPG77Dtddei169ekV8PlUZoNT3QQ3pEyKQ0DFBlsMKRdPL9IMrLORAZSYH+S4ZB4rdsPB8mXEveMzR1C5B5Dm4FA3HnF7IqgpF9ydq4QBoYEhPsKJlsh2qzuDTdJz2+OD0KRB4DklScLgDQx+YyZ00HUllHpVGRvby5K0IWZaxcOFCHDhwAAcOHECvXr0aZOKHeOqGKVOmoF+/fnjuuecwatQo/Pjjj5g5cyZmzpwZt2s0FCrqU1UZt9e3Ba8TJ07ggw8+gKZp6NKlC4YMGdLgDPX1GRo3NDzipSOi6a/Kts8Yw4EDB9CmTRsAgN1uN42IRGzE/D8ZKYEE0XCpTFyziqjKCkEs2Zcq01axrELXdZxwyWCMITvRZnoehQ6YimUVPl2HwxKc4CVQ/qKiIsyZMwculwubN29Gr169IAhCeWLUK6ifE4FUZVJhEwVwAHQG8DyHTIcVxbICn6bjcIkHHlVDoiTAbhFwwiVD1XW4FQ25qQkAgNNuLzwaA7yK6RWcYhVR6OFR4vFBZwypPgvSE/wxUUSeg8TzKPH6t1WnWEUkSRJ8uo7ksoys+4tc8KgaMuwSWiTZzS0Qgd6Hgd8j6b9IcRSb2CXs2/oTvv/uWwD+rRI1/XzrE6RPiEBC36npCVb4dIZDxW64FA3WkEDp0SYHgf2GAyAJPBwWAaU+FScKXZAEHl2bJsGnMxTKCjRdBw+/brLwHDyKBrtFhMADFp4PCsHg0xlOubwo8CiQBB5On2qGSjDCNlhFAT5VK9NfzMzwXN3Jktfrxbx583DkyBFIkoRbbrmlQRoRgfjqhosuugjLli3D1KlTMX36dLRp0wavvfYaxo4dG7drNBQq+o1WZdx+rha84vG+LCoqwrx58yDLMnJycnDjjTeCr2JSBaJmoHFDwyPaWDuQyvTvaPqrMjqIMYZPP/0UP/30E66++mpcfPHFMd8HcZaYNfBXX31V7vHLLrusysIQdY94DAwCO3yogijPPTla9qXKbrcObOuMxweXT8Vpjw9gDAkWEV0y/PE1Qr0HArMvRprMlJaWYvbs2SgtLUVGRgbGjh3boIyIAPVzIphYJhXFsmoaBhMlEXaLgBJZgc6ANJsFkijgWKkbBR4FWWUeQFaBR5FXgU/Xccolw6VokHgRKVYVGQm2IK/g3NQEKLoOp08ztxsy+NuWNR1WgYOFt6CJVQLPc3Dg7MTeYRHAGJBstcCnM/OegLIsqyFJXCLpv0B9YWZo3bEda9asAeDfhlOZbKr1JYN7PCB9QgQSaRJgeDIzwOzvge/40DjFQLBeynBYIWs6PIqGAo8PJT4NgIbt+SXITrLBq2golhUIHAe7JCDRIiJBFOBUNAiMgw6Gg8UeqLqOFKsF7dMToesSnD4VyVZ/RmeXooEDoOj+LXVWUUCiJKIZgCJZMWMzG7KWN1mKhsvlwty5c3HixAnYbDaMGzcuKMZqQyPeumHYsGEYNmxYdURqFFQ0tq/L3oXxeF8eOXIELpcLGRkZGD16NESx7t1nY4fGDQ2TivpveccDx82RxgQVoes6li9fjq1btwJAWNxNInZi1pwDBgwIKwt0BaeYBUQogQOWUKNdee7JgdmX3IqKwyUeyKoGmyhA0Vmlt1sbA6FUqwiB58AYQ1ZARtjykiqEGT7dbsyZMweFhYVIS0vD+PHjkZCQUO1nVNegfk4EEsukwtza7FXAAGg6gw6/t5DhXVwqKyj1aWa8xJxUERllfU0uy3iaZrcgNzUFCRYxSG9kJ9rQvklikBHOmOC7FQ0KY7CLAryaDqYhKJN84HmB8hpeyKFZVit6FgkWEft278KqFZ8B8MfouuSSSyr1TOtLBvd4QPqEqAhDDwBnxwmh7/jQ93Fgv/Eomj/0ga6DYzDPLZVV8JwMr6rBozIkSRysPI9iWUGpT4WsAwKAZCsPgIOqMxT7FBwocsNhESAJAkp9ChRNB89xaJoggef9mZzPeHxItAiQRAEtyxJLGTJVZetoaWkp5syZg1OnTsHhcGD8+PHIysqquYdeByDdUPeo6x7y8XhfduvWDZIkISsrC3a7PV6iEXGEdEPDpKL+W97x6iwiaJqGZcuW4ddffwXHcbjxxhvRvXv3iHXrug6sS8T8dAoLC4O+K4qCzZs3Y9q0aXj22WfjJhjRMAncKmh4HERKtOBPmnK27LjTa8ZHy0qwIjPRFnW7IQDTY9HYjpQkifCBR25KAnw6g93i9yB0KypOuWT/ZKUCpSXoGubNm4dTp04hKSkJ48ePR1JSUvwfUh2A+jkBRF79q+gFG2oYDNwuaNRvmWxHktUScaBgbBmUeM5MdFJSti1R13XTMzF0NVLiOWiMwaf5s6amWEWcdvtQ4JYhqxoyHcFJHAK3WEg8h7Qyr6NI9x54n4Hn7du7F8uWLQMAXHjhhWFBwcsj1CDZkAcrpE+IQCqaDKRYRZTICpw+FYmSWCnj3EmXXJatmUerJDuOOD0o9ar+iWfZ3JMDoGg6Sn0qNB3QERAjkXFIs4lIkixlyZV0iBoHl6LCqWjgmIIUm4RUnYHpGpw+FRpj8Gr+xE9N7FKQjvSpZ/VQZZ/BoUOHzPHFhAkT0LRp02o85foB6Ya6R133kK/q+1LXdciybBoOO3ToEG/RiDhCuqFhUp6zjnHco2g4UORGVlncYYPKLiKEtquqKj788EPs3r0bPM9jxIgR6Ny5c9Tz67oOrEvE/HRSUlLCygYNGgRJkvDggw/ip59+iotgRMMiNAPrgSI3fLqOLIctzCAQSbEYhgNZ1dAiyR6W2THQYwmA6c1gZFx0l00M3D4NDAwtkuzITRXNbZiAf5sSgKDYjIFK65dtW3Hs2DHY7XaMHz++wcYsAqifE34ivUwjlUUy5Bt99rjTCwaYWUzLDWfg9EISeGQ5rDhS4oFTUWEVeDgVDRaBh8irYV7Ixt9TLtnvOaT7EyAcLfXCq2rQATPuGoCIHtEOi+DXEZpuxmeLNpBwK6q5DXr/vv3QdR3du3fH0KFDYwrU3tCNh4GQPiECKW8yYCzuFXhkeFW/dzGAiAuPgX3USNgi8BxUxpBmk6DrDB5Vg6L7vZ95nsHlY/BqGiw8kJVghcBzUDTdn2zFbkWmw4p9hS6UyCp0nUFnDNAZeJ6DVeTA4Ddaunx+I6VN9BsMjcRPhlyGcTGWGE9du3aFoijIyclp0OOLQEg31D0aooc8YwwrVqzA/v37MW7cOKSmpta2SEQFkG5o+EQbZxvJGFVdDwphVtlxc2C7NoHHwoUL8fvvv0MQBNxw0wiktsqFW1FjjsFIhBO3J5SVlYXdu3fHqzmigRHYqQHAp4VvI3QHbG10KVrQuRLPwSrwsAm86U0YSOgWJ2NLtMPi3+LIAXCrDG5FBc/xhoNCUFwmY4vjSZcMlTG4yhI/GIbOCy64AF6vF23atEFGRka8H1G9gPp54yGaV03oCzbQsOZTLSiSFbgUDS3KsqGH1jd0gaxqsIpnjY8+VYPKdLhkFYqmo9inwKvqYAzQGENSmb4ollV4fCp2nCpBilUEz/M47ZZx3OmFzvwhD864Nfh0wCEJaJFoC9I1PlWDrGoocMvm/RkZWkUepkEg1Hs6NBmTJPAYPGggWjXPRvZ57eFRtYixXGlrRHRInzROok0GDF1S6FXg0xgEzt8P810yTrpkZDmsZUmb/AuEobrFIvAo9CrwKCp8mg6B56EzwCXr4CSgdbIDh0rcKPHpKFvXQOem/l0FgaESTrl98CgqkqwWMMaB5wCe4+D2aXAKKlJtFoi8/xy3qoHnOHOhJJJc5T2DU6dOQbfbkZiYCADo2bNn9R5uA4F0Q+3REBe5vvnmG2zatAkAcPz4cTIk1mNIN9Q9qjrejfauNMKPCTwXZGiMdJ1ozkfGX57nkZOTg0OHDuHmm2+GPbN5jcVgbIzE/KbYtm1b0HfGGI4fP47nn3+eBkBERNyK3ziYGGSQsJn/PljkglfTIasaZF2HleeRXLbt8ZRLxgmXDJvIw6vq0AIMfKFKxYx1pvqTMPA8j5xkm+mtKPEc7BYRSZKAjDIlFRiXySDLYUVJWXbZQo8PEgeIogiO49C/f/9z+ORqD+rnRDSvmtBJRrGswq1o0BmDV/MnQVF03UyEEppcKdB4d8zphcMiINVq8Xsd8jw0HbBbBCiMQdNViDwHiyDCKvA4WuoFxwNOH+BWNRTLPvAcD5/mNzhyYNAZB1nzx2VMYjC3UBsyS6KKky4vjpV6wTiGpnYrvKoGn6ZB0TkUeHxBCR5C47oyjxNNrTY0cfiTsrRo3wlnPD7wgmo+j8aQQCUWSJ8QlcEw0idJAhgE8z3OlSU38Wm6uZsBsAUlNfGpGtyKBq4sQKIKgDEdQtneZZ35ky11Tk/CviIXVMbAccDhEg+0sv5+yiXjjMcHRdMg8pyZwKnAo0HTdLgUBh0+dExPQqtkO065ZHg1HbaQRdHKGmKOHz+OuXPnIjExEbfeemujjNVGuoGoabZs2YK1a9cCAK666qpytzQSdQfSDfWHqo53I70r3YoKn86Qm5pgtl1eeJNIZaHtXnrppejevTtSU1PhVoIXIuNxH42ZmJ9Sz549wXH+hBWB9O3bF//973/jJhhR/wn1MAw1SOS7ZJSUJV1QdB0WgQfHAB/8WRITLCIYZMiaf5KfZpPKYqD5Y66Fbj+UVQ0nXTJSbZag7U8pVhE+VYNX45BitZgJH6Jlf85N9R8r8ir4Ye0qlBYXY/To0bBarRHvsyFC/bx+UNVVwMqs6kXzyAslxSoiX+Dg9Pk9f1sk2cABSJTEoEk/4M+M7CrbruzTdHhVDaqmAwxlXj7+Pp1ulyAJPDSdIdVmQbLVgnyXF06fBpuFQ7JkAc8DLp8Gj+pDE5uEZEks0w0KNMag6wDPI2xQkGIVUejhUaIrUBlQ4JHBg4MAQOA4lPgUFHoVZDmsyC3zqPSp/jiNx0+dxpolHyArKxNjRo822zP+BnpbckC5MdIaE6RPiMrg7ytnFxlPlY0ROMDcOeBWlCAP48DwBJLAwa0CHDhwDFB1QCsLkShrOvaccULkODBwyLBL0HSG46VeyKqOIqsIlTEUevxJotLt/oWEI6UeiLwAntMBxmATeEg8Zy5CuhUV+S4Zp1wyMhzhYRCi6ecjR45g7ty5kGUZqampYX2jsUC6oeZpzN7xv/32G5YvXw4A6NevH/r06VPLEhGVhXRD/SGeW4ED5/XZibawRKyyqpUtHKphSdcM3G43vvjiCwwePNicu1fGC7misCuNVY+WR8xPYv/+/UHfeZ5HRkYGbDZyASWCMZRBokUIS6hyyiXjQLEbYIAkcmhql5AkiZA1HYVexdx6nCSJ0HQdXhVItjI0tUs4WuqFruthno6nVL/Xgk3gg1ySEywiJNHvXSVZhbBVjEjZn+2igG82rMW2LVvAcRyOHDmCtm3b1vQjqzPUVD9//vnnMXXqVNx///147bXXotZbvHgxpk2bhgMHDqB9+/Z44YUXcM0111Tr2g2Rqq6eVWZVz/iEeuSFkmARkWq1wKvqsAo8clIdAGAmR5ICtiT7dL/nYKmiAczfnxkDGAdIZbHQjHiKmQ4rrKJgvrQlnoOF5yHyHBSdIUEUUSpr0HUGm8gjw2HDoWI37BYBqXYJloAMq6HeQn6PZgElsgK5zJsx0WaBQxQh8lyQDjL0x4H8Anz/yRJ4XU4UF9ugqiokSYq4oupTtQpjpDUmaNzQeKjOYNuov6/QhRKfgiTJAndZmJPWKQlIsYpBOgEIDkFQ7FWgahpUHTBCFmplL3eFAYrsb8vCAxaBg0dR4VX9W6ATRB6FXp+ZgEXkeRwt9Zj3IvKcPzs8x6HUp5qJ3Dj44zkBfh0WeM/GjopmDisyHGc9Kw4fPIglixZBUXxo3bo1xowZ02j7AumGmqeuetnU9MT86NGjWLx4MRhj6N69OwYOHBj3axA1R7x1w9GjR/HII49gxYoVcLvdaNeuHWbNmoXevXvHQ9xGTbzCIZSXqMzQFxzgn8/LwbuAjOs7nU7MmTMH+fn58Hg8GDVqVFA75enD8u6jrurR2ibmJ5GTk1MTchANkNCspAZuRUWRrIAHB3AMjHFIlETkpDrgLotLZMYz0xlEXoDAa7CLghmTqFhWwfN8kKdjhsM/kI+kfEplBaoWnPU1cAJieCQafPXVV9iwYQMA4Nprr21URkSgZvr5xo0b8fbbb6NHjx7l1vvuu+8wZswYzJgxA8OGDcP8+fNxww034Oeff0a3bt3iLld9pqqrgJHOi9ZWZa6R4bCafS/Q0zfVZjENchLPQeJ5ZCRJUHUGBiDTYfVnZyt24WipB9kOq7noEPpCT0/wZ28zkjF4NR1i2ZZFp09DiyQODouAEpkh22FFml1CvkuGT1FQIiuwCbzpjZxgEZHp8BsBjBiqksAjSRJx2uODXeSRKJ29tqT5sGXVcnhLS5CQnILrR41GQkJC2HMw2nYrKuDyZ4suL6BzY4HGDfWXWCf7RtKkQg9vhiCJhWJZxTGnF7KmQ9MZkq0W6DrDsVIPSmQRTe2SP0laqRenPT60SLIhzS75vZ+ZjmSbP+uyqvPQmA6nTzcNfrpxEX/+FMgaA2MAD+C0xweB4+EQGThwcCsqCj0+aDqg6TpykhPAwZ+UjQPMJG1ZDiuyHFYzLnMgLOCvMQk5vH8fVn28DJqmIrtVDsaOvQWSJMX0jBoSpBtqnmjv8AL32dijoQkMzwU1OTFnjGHlypVQFAXnnXcerr/++piSoRG1Tzx1Q2FhIfr374/LL78cK1asQEZGBn777bdGk9Qq3kQKWxRpnBAtEWO0OuUlKgvcfWDME4yyUlmBqjM4dB8++fADnD59GomJibj88svDZI/nvImoYrKVL7/8Ev/4xz+wc+dOAECXLl3w8MMP49JLL42rcET9pKJgpadcMoplFaIAJEv+SUGJrJgT7sCtlj5VQ5bDak7y/Zkb+SBDoGG8MLItwxqufAq9ivlvY3BvnG+3CEgPUFjff/891q9fDwAYMmQIevXqFb+HU4+IZz93Op0YO3Ys3nnnHTzzzDPl1n399ddx1VVX4eGHHwYAPP3001i9ejXeeOMNvPXWW7HfCBFGpFW3aCtx5a3QBRoNAcCj+MMLlMgKeM5vSFR0Zq4cGmEJAmOflMgKCjwKNJ1B1xm6ZSYDOJultdSnmlnUDVkMD2O3qsHHgDNef1xDf9ID/zVUneFAsRuqrpfFRxPLDAoySn3+60qCgASLPxZbklWAT2co8vq3Rp90ybBbBAi6hg8/WIiiggLYHYnIu+4mSAmJYfcfmllOEv0DHCMMQ2PfFkHjhvpJrJN9I3SAT9eR75LNhEoVnWv0D13XkSyJUHQdaTYJHMehRPHhjEcFDy/O2C0QeR5n3D7IOoPLp6JFsh1FsgKHRQDPcSjyKGDMr28YAAFAgiTAo/q9FUWBL0ugwsB4wKfrUHRAgA6RB3SOQfP5DYD+7dQaTnt8cEiiGb8Z8C9C+DS/J7ahnwIJ9KoGgEP7f8eqj5ZC13VktMrFldfd0KiNiAakG2qWaO9wIzMq4B8Hn+v3U01OzDmOw+jRo/HFF1/gqquugiCEJ2kk6j7x0g0vvPACWrVqhVmzZpllbdq0iausDZVIY9fQcUG0cYI/gal/YTHBIpiJVEPrGOeWpxOiOScBQL7Ti+MFZ/DLquVwlRQjOTkZEydORJMmTSq8l8rSEJNQxQM+1hPmzp2LgQMHIiEhAZMnT8bkyZNht9tx5ZVXYv78+TUhI1HPMJSCkVkxECP2oKppYIxDkiQizWaBXnaeUee404tTLhlORUOS1YLcVAd8OkOJz789UtWZGRuhWPYbEQ8Vu7HnjBNHSjxl2R9dOFjkgsRzaFbmNZAV4PEUSc7Nmzfj888/BwD0v/Qy9O3b95w8s7pGvPv5vffei6FDh1Zqa8mGDRvC6g0ZMsT0EI2ELMsoKSkJ+jQGyutrBkZ/MgIMV5fA9ozrHynxYF+RE7sLnHCpKmRNR6miwlO2smgY/iWBNw19gfEEbaIAm8CB4/2xUw8UuXHS6cXJsmytR0q9OFDkNu9B4jlwAJIlC6w8kGTxxzFMsYrITLCCh397pKozf+ZWXYfLp+BQsRu7CpxlmVtV6IwF6YQUq18fgTG4FBUFTg8WLlyIE8ePQ7LZMOTGEWiVlREWn+1kWZKGwP+HFKsYFNKhMv9XDZV46pMnn3wSHMcFfTp16lRDkhOhv+OKMEIHZDlsZdt+g/tuIJF0yQmXF66yDOjZiTY0sUtIlCwAGHw64FJ0eFUdis6gM0ADw+FSNwrcPhR5FJx2y3AqOlyqDrls1dDCAy0TbejYJBHZDglNEyTYBB6iICDdbkWLRBsSLTw0AB4dUDSA44BkiUd2ooSsRBuSJREunz9jfLGsIsNhRbLVgkKvghNli6Oh92TcgzEB6diqBRITE9Gxc2dcf9MIZKc44vOfVI+hOUXtkeWwIjPBPy6ujfdTYP+IF4Hx9BITE3H99dc3qvjmDYl46obly5ejd+/eGDlyJDIzM9GrVy+88847Ues31jlFJCLphtBxQbRxQopVhMT7Y6JzQNQ6gTuRoumESMeMskTNi20rP4KrpBhpaWmYNGmSaUSMNM5ojOPwmiJm7f3ss8/ixRdfxJQpU8yyyZMn45VXXsHTTz+NW265pdJtPfnkk3jqqaeCyjp27Ihdu3bFKhZRhyhvRaFYVuFjOmyiiKYJEjIcViSWeTEZXk1GXKG0sqQpuq7jp+OFUHQdus6glWWHNdo74/HBwnNQGYOqM3gUrWwVRIaqMyRJAmyi3+uI86lhngNGMgkbU7F69WoAQPvzL0CXixqnERGIbz9fuHAhfv75Z2zcuLFS9U+cOIGsrKygsqysLJw4cSLqOTNmzAjTJY2Byqzox3v7UKTVw1JZQaGsgAdDqmhFc4cNxbIatmUqNzUhaJsD4O9/GQ5mevX5VA0+3R9bMcthNWMZGgbIBIsIX9nW6OZJNuSmOSAHxCTskpGMH4+egUv1Z3/NTrThQLEbiqZD8fkHDw6L32DYMtketqUryWqBW9Ug8Tw0VwmOHTsGSZIw9KZRaNe6RVjgZ+MeQsMjhK5eNuZtEfHUJwDQtWtXrFmzxvwuio3vmZ4rqrIKH7jF36VocKkqDhS5w7IwRtIlR0s1eBUNpzV/DNWcVAcknsNptxdulcFh4WHhebgEDikWAclWC46UeKAwoNSnQhJ58AAEHrAIfqOgyoCTbhndMpJR6lNxxuuPjQzmr5fhsKLUp6FE8Y8rdAAWAE3sVrRPT/Rvty71oEhWoDEdyZoEn6qBAf6FB8AM/l6evk1NTcXtt9+OxMRE8HzM6/gNknjrBqLyGOFCAJSbyTSe1KRnvqZpWLx4MTp37ozzzz//nFyTqDniqRv27duHN998Ew8++CD+9re/YePGjZg8eTIkScLEiRPD6teHOcW5+l0bC/fGHB0IHxcEvvMDkzMaC4vlyRnt3EhECsfAGMOaTz6Gx1mK9PR0TJgwAcnJyeY5lfV4JKpGzE9y3759uPbaa8PKr7vuOvztb3+LWQCaEDQ8Ik08jpa4cbTUi6Z2CQ5RhJtpUHX/yqFhFCj1qabXoUfVkKAJkFQNx50enPGo4MCQarcgURBhE/yDcEMZyKqGZMkC3cLQMtkOu0VAlsPqzwqtaDjjVaAzHTznPy8nNTyZRBO7hAkTJmDz1m04v9+lSC2bIDRG4tXPDx8+jPvvvx+rV6+u0eDpU6dOxYMPPmh+LykpQatWrWrsenWFykzyIw0CyiNS7JNTLtm//VcSgxIcGddPsYqwCjzksuQqaXYJLZITgtqTeA4FHh88igaJ9xvwAsMYmAZGqz/pkkfR4C3LfsxxHHjGzHuQeA5e1a8nEkUBpzw+WAQOmqZj1+liiJwAh4WHTRTgsAhonmhDoddnZmzNSbGb8hW4ZRwt9YDn/LFakyQRWQ5b2f0l49Zbb4XP5wuL11PeIC7wmWUGbMmOFhemoU9u4j1uEEURzZo1i4doRDWo6DecYBGR5bDi90IVrrK6PlULSEDinwgEnl8iiygS/R4MpWWGf5/OYBNFaEwBwCHRIkJnKIuXqEDX/duXbaI/0zsHf0xECy+A5xg8Ph2yquHnE0XwlXkqcgAsnN8D+rRThlc/KzcPIMEioGmCZE5CGGMQOZgxE894NBT7VDRPtCHJasEZjw9SwCKJ8feHH35AUlISunTpAgBBExwi/rqhsVPV98q52rZXU3ERGWP45JNPsHv3buzbtw9t27ZFYmJijV6TqFniqRt0XUfv3r3x3HPPAQB69eqFX375BW+99VZEQ2J9mFOcq9+1MUf36azCupFkqig8kjFWdvpUnPb40DzRhg7pSRHrB4ZjMAyJHMfhhhtuwMqVK3HTTTeZ/d4gdEs06YD4EvPTbNWqFb744gu0a9cuqHzNmjVV6mSxTAhkWYYsy+b3xuxqXJtUZaByqMSN0x7/an6HJkn4vdCFYp+CA0Vuc2uhT9Vw0uVFqaxC1/1xiU65vVB0BpvAged5iBwPa0AiBI+iodDjQ4rV7+HIwR/rxUimIGv+LVApkgivqvkztIbIlihygOFWndgMV9MENW79/KeffkJ+fj4uuOACs0zTNHz11Vd44403IMtyWOyaZs2a4eTJk0FlJ0+eLFdPWK1W2r6CyH0zlkEAEDwQAIADRW4UyQoEjkOxrMDp05AkCchwWIOul+Gw4kCRG8WyjGJZQYrVgsyALVMcgGNODzw+HSrTg2IyGXUML5+TLi9ciga3qoKBg9OnwsLz8Ko6vGXJlgrcCmTdn3BFZYDEA/kqoALgoCNJ4nDG44NHUWEVeVh4ATr8YRGOl3krJ0oifi904ZTbB11nSLSKyEyQkC5oSEhs4vfSSEpDhjU8xmF5g7hiWTWTMVhDMrlGes4NfWAT73HDb7/9hubNm8Nms+EPf/gDZsyYgdatW0esS+OGmiNUV0QaF/h0BknkzdjG+ao/RhJDcMZ4469alpFdZyo0naHALSPf5YUk8PCqPEp9KlRdh1vRccIpI3CDEmMMXo1BA6DogO7TYBV5iCLgVhkYmJn8iQHwMYDXzsZCBAAJ/niKiVYRis7A6f4Mks0cVpx0ySiUfXAqGmRFhUfTcdotI90uRUwS9fXXX2Pt2rVmttGMjIxKP9vGstAQb93Q2Knr75Wa8ghat24dtmzZAo7jMGLEiCBjAnkh1U/iqRuys7PNxRyDzp07Y8mSJRHr14c5RU3/rgPjFoc6I0R7P0WTKTSeuPFXVjVz96BPVSHrDJ6yMUIkssoWH7McViiKAovF7/CTlZWFCRMmREyoRMbDmiXmJ/vQQw9h8uTJ2LJlC/r16wcA+Pbbb/Hee+/h9ddfj1mAWCYE9cHVuCFjKAJZ1SIGTC3vPA4cRPhX84+WesDxgKBz8Gk6fDpDdqLN3Aal6gyKpsHp0/0eTjyHpg4rvKoOd5mhwTCKBK5OpNkl0yvAmOgXlSVZaZ5k9U9iyhKyGPGLjh8/joULF+Kmm25CQpTfXWMkXv38yiuvxPbt24PKJk2ahE6dOuGRRx6JGAD7D3/4A7744gs88MADZtnq1avxhz/8oWo304iINIkITUoUKTlIIEZ9XdfxS34JNMbgsAhIsVrg03QUehWUKgjzLpJEAT5dB2NASVmCI1nTYRN4OCwCLDyHwyUMOgBFY6asBW4ZhR4FFoGDyHM46ZRR4lMhAEiULCj2KvAoOjzQ4dP9bkOSwIPnGaABFp5DoiSAAweP6u/vDICmc9CZjhJZA69osPAcfCqDAsDiUVAsK0i1WuBSNOg6g3+MpGPr99/g4I7tGD9uHITUpjjp9OKU66yxoVQWoJY9O4dFgE/VUOCWg7Y2+1TN3PIYmrk58P8glthz9Zl4jhv69OmD9957Dx07dsTx48fx1FNP4dJLL8Uvv/yCpKTwVWwaN9QcgbolmgHDX8dm6ppMB4ISkPjjG3sgCkBOcgKa2CWkWkUcKfXijKzg9EkZiu7f5twiyY6CsgyNfsNgMF6VgYd/azIPQBI4JFoEFAW4G9pFDqrGzPiJIufv10rZd0HkYLXw4AAcd3og8jxaJifAbhEg8hysAg+Ag66L8GkKfBqD06ciJ/VsvEPGGFat+QLff/ctAODSSy9F06ZNY3q2dd0gFC/iPado7NR1o1no4kE8ftubNm3C119/DQAYNmwYOnToEHbNhtyHGirx1A39+/fH7t27g8r27NlTr7PG1/TvOr8sRrk/njAf5IwQ+n4KTbIauk050KHAn/TQ/zexbJGuSFbg4QAHx6Flkj2iPG7Fv2sxNzUBp48fw3uLF2PEiBHm/yFlZa8dYv4F3n333WjWrBlefvllLFq0CIDfqv/BBx/g+uuvj6mtWCcE9cHVuCFjZF/igaDMhaEEZlDOcFiR75KhMSDFboGqM5z2KEi3W9AyxR40+TZiKai6jtMevyHDLopoYregZZLdv/W5bOukYRQReQ5JkgCB58Im5hLPQeABVWMokRX/9ktR8Cs/lwxX8Ql88sECeDxufPPNNxSLJ4B49fOkpCR069YtqMzhcCA9Pd0snzBhAlq0aIEZM2YAAO6//37k5eXh5ZdfxtChQ7Fw4UJs2rQJM2fOjNPdNVwiTSICBxvGNn7jJW4cD8Sov+NUCZyKfxtz+yaJ5mBBEvyT7FDvIsNgIPEcjpZ6UKpokFX/wkATuz8zqd0iguM0pAX00/2FLhTJCmwij+xEG0Seg8BxSLFa0DbNga0ni0xZbQKPFkk2v4dPgoSjpV7wHIcWyXYzRpmsM6SVeUOW+lQUuGUw+A0AHtU/edEBcCjzUOKAxDKj4OmdW/Hb5k0AgPz8fHTKaoZCD49CWQGYPx6aR9XMLPDG4oVL0YKMGka8RgBBmZuBswOwJnYpYlb7hkg8xw1XX321+e8ePXqgT58+yMnJwaJFi3D77beH1adxQ3Qq8nqraPt+eR4JgcfPLuLJyHBYTcMj4J9QeDUNTAVOe3zIdNiQZvf3badPBXRAEnmoOoMk+LcueyIYEQFAFDhYRR7esgRO/n/79zFLvH/RgYGDIHCQVB3ggeaJNjAAR0u8UAHYeB4tEu0okRUUySosPIOu69h7xol8lwyB59AiyY4E0a8/jJjNxqTJLgr4/PPP8cMPPwAALux/GQYMGBDz/01dNwjFi3jqhoZMZT1U64PRLJKRvKoeuLt27cJnn30GAMjLywva/ULUb+KpG6ZMmYJ+/frhueeew6hRo/Djjz9i5syZjXpeUVGfM8xydouApJA5f+j7yTA6ZjmsyE0NX1gMjSce+relJEZ1bjAwbBC7fzuC71Ysh6IoWPvVNxh9c4s6r/MaMlV68jfeeCNuvPHGal881glBfXA1bsikWEUUeni4FBVuJbrrsZHoBPAbGEpk/6S7qd0Kj6LBqaqwiQKcPtU/GQgZKCdbLWZyFJvAQ+Q5HCnxQChzq/aoGpLKlI6iM9hFER5Fw0ndr8T88Rb8hkxNB7xl2480/WyG1tMFBfhs8UJ4PW40b94cN910U/wfWD0nXv28Ig4dOhQUeL5fv36YP38+Hn/8cfztb39D+/bt8dFHH4UZJIlwKppEBL7MS32qaXyLdI5N4MFBByAg3yUj0+FvP0nyb0UQywYJaTaLOeDITrSVGe6ADLuEdLsEp8/vxWwpM/ZzIg+mMxwociPFKiLJKkJjOtJsEhIlEekJEhIlAS3KViWTJAvcig6BA9qlOYJiLzoVzR9XxS3DKvBonmSHxhhaJvnjpB4u8ZR5OOvQdIZECw/GAJtFQKJFgA4gWRIh8hzO7N2Jjd9+BQDo1Kc/EnPaA/AniHEExDv0KBosvD8RjN0imM8zNNlKoHdioFdiYzEQhFJT+iQ1NRUdOnTA3r17Ix6ncUN0KvJ6q2j7fuCxUN0Tuu35qNMDt6LhmNODJMmCYp+KJItQti3YAg4c7GULfaWyAgaGRIuAVKsFPp2h0OuDR9XglDUYow8RMLc2+7O4iwDHQWU6NE0H4/2LHkYiV1lj/liHPGCVeHAMUDQdbkXzeyQzQNF1JEl+w6fHp0EROOw5UwoOPFTGwBjgVTW0SLJD5Dl4yuK4GnEUv1i/Aj///DMAoHO/PHTrfVGV/m/qg0EoXpyrsUZ9piF5qEZ6B1bl/goKCrBkyRIwxnDBBRcgLy8v/sIStUq8dMNFF12EZcuWYerUqZg+fTratGmD1157DWPHjo2DlPWTivpchsPqj1euaki3SxGTqxgYcwBf2aKa4dhjJDM1PBVDCcxRUNHCeopVxI5dB/Hdyv9B1zS0zG2DC668Kmihnjj3xPzkN27cCF3X0adPn6DyH374AYIgoHfv3lUWpqIJAVG7GB6Dv51xokhWcMolIyc1/Cek6/4tyQIHFHh8UDQdXJn/QMtkO5w+FUWyggKPDwLHmTHEjpa4sbfQBUng0cQu+Sf+dhEnXTJOOGXo8G8/1BlQ5FXQLs2BRIvgj4OoAT5dx5ESD057feAY0CLZjiyHFU6fikKPgtNuHxIsAtIFHR989CG8LheaZmRg7NixNNEMoSb7+fr168v9DgAjR47EyJEjq3wNwk/oimPgy9+ns6BQAKGU+lR4FB2y5jO9f6yiinynF4WyAqdPhUMSoWo6Tri8OFjsRhO7hEKvD06fjlSbAJHjcLjUU+ZFbIFX0+HTdJws2wp8tJQh1WZBq+QEyJqOzSeLoKg6shJt8OkMTpcMlTEkSWLZdmbeDM58wiX7E6jwPHiOQWMAxwCB5/wZmnWGYlmBwHNQVR2y7k+ukGwTwXMcvJoGWWP4f/b+PMiy867vx1/P85zlLn17mZ5VM5oZ7bYsZMu7ZOPdjm3ZApP8cIyIgUpwQbliCoqqlFMVwAlg6hsqBIoq4kpBkYIACSHEBnnBGFteZRvbMpZkyZKtkTT7TE933+1sz/L74znn9u3by3TP9GhG0/ddJU337XPPPfec83zO83w+78/7HSvBDx77Hg/f7x3bD97+Elo3vICn2n3OJhk76zEHJuvLhKNHnS7roWI2XKmjCBAFegUrcbvhUsaTbrfL97//ff7Vv/pXF3uY2w7nS2pPxcGKRPha7x299yuTJ2v9WIyVpJ0UnNNex7BK7hfW0s40zXLfoRSc7eekxrK3WePwdIOvHjtHqh3WGtwQnXq4nBkBC1lBNmSa0tcFDs9AHoYEOrnXfeoWfiElBu9xPLnoWdIGL8OQGMdE4NhRi2hnBXNJQS3wEgfOQawkrVjxg0ce4pvf/CZCCO5641u48QU/xO7meG6xHi5lbLiasN5YvFzYSmOXCymw7dixg7vuuouTJ09y9913j1sbrzJsdWx4xzvewTve8Y6tPMTnNM435hphgLaO+bQglHIw760wqpEeBV7qZzgxWCUKq/2NvnczEj9PPfE4X/7Ex7DWcuPNN/POH30X89mVFRO3I+T5N1mO97///TzzzDMrXj927Bjvf//7L+pgqgXBvn37Lmo/Y1waVANfCkFa6h88tdAbLKYrnOilLCQF55KCdqZJtGcwnup5d9SFtCC3lmbprJzkmq8dO8d3z3VZTL0Ta6YNp4ds3ltxQC2UTNdCaoFPAhzrpKSlZptvbZZY59DGoUsR192lRbyUYHFkScKf/MmfsLiwwMzMDO/9V/+KRqNxmc7olYtLOc7HePZQVRyrNsJhTMXBug/weqiohQHTccieZjxg3dRDxe5GzP5WjR31iHqoSLV3WD3eTb2hkbMUFp7pJHRzQ24se5ox10zU2NOIubZVJ5K+vOBKB9UT3dTrolpYzHLP8AEiKRGSgaRBZWSykBYY44iU8I7txpFq7/bczn3sMdZRU4papLx2moBMWwprmYhCdjdiOsef4eHP/z0AB57/Q9z2ijvZPRFTU4p25r/TaudvtfO72vkePc/rXZOrFVsZT375l3+Z+++/nyNHjvDlL3+Zd73rXSileM973rNVh7tt0Ag9S2CtCXgjDIgCRa8wK+7X0fcO39f9QnO0kzCf+gJerzBMRiETUUisBI1A0gwDpuOA3Dh6heFckjGfFrRzXcqW+LHzxLnuoAMikIJmsDRtHW5vzmFZEhF8onE0icjQdlWSUeC1EyskhWU6DlFDeYnMONp5TqIt/cJrwM5nBVJ45sa+iRrXPf8FXHfrbbziTW9j3823rmm0NMYSxnONjWG9sXi5sJXPsvPFotUghOD1r3897373u5d1tYxxdWAcGy4tqjEHfv49upYHb2qyuxEPTE6GUY3/071sWUJxVGKsKigOf8bAYLH0SFjvGAAeeugh/vIv/xJrLS94wQu4510/Rq80SruSYuJ2xKZnOI888siqGhR33HEHjzzyyKb29cu//Mu8853v5NChQxw/fpxf/dVfHS8IrmBUA98555lB2i/oo6HJcr9qexaghGcH5Vrg03iOU/0cbSy1QHDzjhaZtjx0poMBYuW3j6Vkth4RlO2Ds42YF5UOrxVN+niZkKwWEtY5hBBIKagHXkcpM3YQ3Pa36gjgO1/5PGfOnKHVavHe9753VS3OMbZ2nI9x+bBexXGUFTDKLjgwWSdWEge0ooBOrnHOkRSWA5P1QXVyKg7IjeVMPyNSSyYKxjliKakHmpqSPHymjSq1Dfe2asSB5FgnZWepJThbjwjLYsCueoQFbOngZq2PDUlhBkYmubYsaEuuLTtqEddM1mlnmtwYAiFJTIEt2UL76zVOypR6oAhLnbVrJnwi9Bufehic48BNz+Nlr30DU3HIrrKF+WgnoR4orLU8cqY9iEcAc/2M450+DjFwszufRuX5rsnViq2MJ0ePHuU973kPc3Nz7Nq1i1e/+tU88MADm3LEHWPjWM2saT2Tpqk44Ewv41zi25N3NSJacUimDbVQEgdLOqeRFBxZ7BFJiRQ+BlnnjU8C6/jBQo9+YQmloBEqGqGiV+iBocowzudJL9bZxuCZiAJvvpJog7aWeight+jyvZWiixDeUCUQgqYSxOX4n66FvPltd68qdTDG6hjPNTaO9Z4do9rkz0YC+3I8y9I05f777+cNb3jDwLF1nES8OjGODc8OqrV9pg2CJRmfqvumXq6/+4X2MmIlwWdYvqdiHQ4XA/qFlznLrV+LD+uyj8aOUSmU4XmGc47vfve7OOd44QtfyD333MOpvicbTIRqTULEhTKmx9gcNn1m4zjm1KlTXH/99cteP3HiBEGwud2NFwSXF5sdZMMVhqpNUcAynbXFrHRoFhAFilao6EuYCDxz6VgnIbeO3AgWM82ZfjbQOGoGgW9bEgJtvVNsJ/d/7eaa1Fi6uWYx9UwjC2TGcHCyMdBMjKQglJJ+YWiEavDdDpct2Pvf/GZsUXDnnXcyPT295ef0asFWjvMxth6rLRrWcmTeiIlCv9A8PtelqzX7J+qD8bKYFXRyM9ACU8IvpjPjl/G59UYE7bygsA6HoRXV6OSak92U6VrIrnrMd892Bi6pi1nByV5GrASZthztpp45GAgOTzVKQ6acdqZJC01hfdLgbC/jVBwQKUWiNfOZX9UXhUX2Up6/awolBMe6mm5WUJTf9Wg341yS0YgCZsqk5bFOwtF2Qj1UvOWed/HZL36Z629/MYGUzKcFvcJweLrBTTsmWMw0p3spc33fzl0PfeHkVC9jLimIhtzsNqJrtp20zypsZTz5i7/4i608tDHOg9XMmqrX19rOkZWOyeFAFqAqMubWIqVnFx9Z6GOBVqS8O7v2iTyAnvEJxUgJ9rdqKCE42kno66V0oMC31azWvjwKV24rWN4SXaF6v3HQL2w5h5FIJRDGIZxvu26GvqV5IgqYDASf+dhf881mg3/+z//54Bz0C00+ZkhsCOO5xsax3rNjWJs82iAT9mIX2s/2s0xrzf/6X/+LI0eOsLCwwLvf/e4V24yTB1cPxrHh0mOun3G6m1IPFQI4WcaQYTb9YqY51U2ZTySF9V2AhbXsbtaYigMSKegVZlBQr3C657sMJiLffThqrrpWgX348w5PN2iEAT/2Yz/G4cOHeelLX4oQYtn268XEq0VX9krGps/sW97yFj74wQ/y0Y9+lKmpKQAWFhb49//+3/PmN795U/saLwguL843yNbTV5ttxPQLzZGFPn3tl+xR4JMYsZK08aKrSgp2RjGZNjRDxfXTTdq5pp1pTvUzAiAWoMq2RSEE9dAbrZzqZWjrWQKLWUFmHIGAWiCZaUSkhWcjdfMl98epZszh6cYgobKYaXpZQeE8W6ARBtxzzz2X/uQ+x7GV43yMrcdqi4ZqPK/nyDz8/uGxv5hpuoWmKMdbtU2nMBTWYqwfz5NRQKwEQvrx6YBeOZ61dSjpx247L0iNYyEpSLWlKA9IAcY6OllBIoVnEQvItSU3nqHogG6hyQqDsX7RL4DcQW69O3InX54KqFzkIyk408/IlSMwDlOei9SA1Hbw3Xr9Pq5RZzHzCcldt74QhGBPM15WQYWynTtQTEQWIRloHe5pxhTGUg/VmHl0HozjyXMDqy3CR92XwRcTjyz0EMDEkNsiwJleRm4s+1v1gT7giW7qtRKNHRT4FjNNr9AUxmLdUouxEICQGG1xgDGOZxYScpZ0DCs4fEwB39p8Ppwv2QhLSUbnoBUGtPMCFUhEqcNqASegmyR8/lN/w5kTxwnCkO8fPcHEjtnBdzuX5OTaDOZFw+donOhYwjg2rMSFJMOm4mAgQbLR59FzaaHtnOOjH/0oR44cIYoiXvOa16y63XPpO42xPsax4dLjaDvhVD9jT8NrgYN/ro4aB84nksW8QBvLRKQGxmgVHAwK6lX8yo0lkGJQBKwH68+VM204ow0TpSb60aeepBHcQFwyGF/2siXjso0UMbZj98/lwKbP7m//9m/zmte8hkOHDnHHHXcA8OCDD7Jnzx7+5E/+ZMsPcIxLh/MNso04OrYzTWYMuba0s4IokByYqCOF1y/Z36pzqpdxJslJteWGmSZRoFhIcxZTjZIwESuMcXRyQyv2AaSba5JCUxhHapYSEYWDphTM1CLOuZx+agYaLUmheXqxz56JGgcmfZLgZLvP1/7+EzQmJnjjm98ynlhsEONxfmVjeNFQtfsPu6QNL1pHmYrWWs7280ECrF949+adjZiakuwqF/+RFNSURAmBBArnSIzlUKtOPQoG+5uOA6QUGOuYqYXsbsaEUpAUHXJjkQhmawG1QGGc86wk452PG5FiIgxKrURHJCXnspwdcYiLQ9pZgS7bqa3Dr+AdNAJJUlgKYCIQBELw+FyXVhRQCyRCCKajgLNJTj/3UgvCeQMZlXb55kf/F9fc9Dzqr3gVibZEUjAZeZZhTfk2qSTXzGcFzjn2TjcHMaU6r7ONeIX4dHW+z/QyUmMH53O7x51xPLnyURUGc2sBr1m0mHnH9V7Z01u1LZ3opoNCRqswy1qGK0bDwanG0rbdlMWswFjYqySNMCApixR9bbHWIYE48JzBpDAESiCco7BLhRGJTxwOJw03kkDcCEbbpS3Qzgos0AwlcaBo5wW5tvT7fb71uY/TO3cWFUbc9Pq304+bLLYTnnGOnfUIAb6LojAr2qrHiY4ljGPDSlxIMmy482YYG5Uj2AzW6n64lPj0pz/NQw89hJSSH//xH19TS3+cPLh6MI4Nlxb9QqOdIxASVRJvqsLgMCqj1YdOt0ksTEpJrCSR8uuETq6ZGCqoV/FrIlTsbcYc6yQsZtp7GSg5iFPDsWkx0xzrJhTGcd1UgxMPfZOvfP5+Tr7ghfzQq14L1DcdY7Zj98/lwKbP8P79+/mnf/on/uf//J98+9vfpl6v8zM/8zO85z3vGehVjPHcwPkG2VoP5OFJhBSgnRch7xYOCkuqe0zGITvigHppqLKYeRfGI4t9tHVYV7YkWehnBu0886AeSdpZwdmkIMnL18vPjYAwEDgnONvPKIxFAbVAkWpDaiyJthhSYuW11r79hX/g5JNPIKQkf8VLobX/kpzLqw3jcX5lY3jRULUbVi5poxhlKvZyTbcwTBg7SI6d6efk1lBXijNJxmQU0s01x9ueIVgLBH3t5QSE6/O6w7vpF5pumTALpaCwlpPdlPm0YLoWEilFt7D0dcHh6QlO91I6uUY4gXaQGoMQgpmaJNOGOPBSBoupoSs0SkofA1ha4LcLi8TSihVKQmGhqx1JO/U6qwKEBCUk2loK4xBe5oxcWzonTvO9T/8NWdLn5NNHmHneC0GFNCLlTR60oREommUSciHzrcudXA+kE3zRwgwWUElhONZJiAPFtVUBo5eRaEM9UGu2mQ1PoqrrdLWylMbx5NnFhTCaKgbBsKnRqW6KFEuM3wrDhYyJKGAuyTndTdnZiNjbjJcxGqbigNNd0MbhhMU4x7F2n2OdlEyXCcRQkluBc9Avx3yAoxUGLOaaqpu5ikOXAqNsxZIYCRb6uSbVvt15odvl8c/eR7o4TxDXuPn1dzOzezfaekf6pJR9aEYBNSWJYrWqZuI40eExjg0rsZXJsPWSkhe60N5M98NW4Ctf+Qpf+cpXALjnnnu44YYbVt1u3NZ8dWEcG7YGa42LxUxjcUxEikhJTnVTPwcIJJkOiYPl75mqhdQCiRSCk72MmVo46OCZjsNBF89w58KpXoaQgpoSKKWWdRUMM/cBYilx1vCNL3+B73z9q/61RoP4PEzGizkHY1w8LuhsNptN3ve+9231sYxxhWGtSUY1+HfUI/a3ahzrpBhrSYsC7aBXWLqF1yWLleTQdJMdSc6JbkphLAaHRNCKFcZZMu1wzjuq5tpSCEcoBXJg8OCNWHbUY4x1patTgBSSMBBkxpBoi3BQDyWtKCDRhm9+8X6eevRhhBC880ffxeH94yTiZjAe588NnG/RMfxQrxiExzopQiwlr55xjnamWbBepqAbGZzzJgMCkEIgyiVDtXAYTphFSlJUGqaZd16vKUlNwlQckWnjXZQdTMaKJPc/47y7+sleRqQkrUjhnCUx4PBMp9XSBlNxyLx1pNYv2ocbnetKohEIAa04wDrHfFKQpAk/+IePk/U6xBOT3Pbmd1Bv1DHWMR2H7G3Gg/MhpWQ69uzGOFADx+pq4TS8gJpP8sHxVwmXvc14wEjcCOMbrn6W0jiebD3WWyCc6i3XGDofopItsGeIQTufSHJrl+klzfUzTvWywTiphwrdc5xNczLjuw5GGQ1CgJACZ4VPOvYyurkhDqAZhNSUxFrDQq4HYzkzoI1mWGmwd4mSiGtBOEFhyjhoLTLt8thn7iPvLFJrNHntPf+c3bt2cTbJyY0jDvyCrBYoJkK1Jht5I1Iy2wnj2LAcF8OkGb2PLgVDb3ROcSmT4g899BB/93d/B8Ab3/hGXvjCF6657bit+erDODZcPJYn7JbMVKy19HM/f4+URFtH4SyRlOTGcqqXsbcZc2g6KDsQC5yDeugFRZKyGyFSS9vP1EJa5Tx4MdPk1jIVhdw8M7GiUyrTholSymwhKwil4Aff+irfffAbALz2DW/kljteuuYzcTPPzI3Ehu38DL4YjM/UGGsOnrVeHxVFbUYB2lgsoISgnWl62qKNZ0uBbxMsjKUZKKyFxBQY4wgDxUTok4HOQTvTCOH3Y51jMg7Aec20M/0MZ313Y6QsB6caLGYFi5lPfjQixWzp9vqtB77M49/+JgBvvfsd3PFDtz07J3OMMZ5lDAv8P7XQW+a4ttYYrgWKU70MW2oBTkYB7awAJZBCUA8UdRVibIYUlWMqZEZzaLJBv9DM9TM6eYEt3UsbgcI6h8InJGpKUp+os7MRMZ8WNMKAUAqmayFFmew/NNVgrp+TFZZACELhJzRRANpajAGlIJKKTBu0hYk4oBUF7IhDnuokFNqQazdwVs2tQ+JAlA6vAurC8Oj9nyBrLxA3mtx197toTk0iEaVjvJ9E7WnGzCU57TxlMgq5cccE4HXfmqEauFcPM7ciKdDWIoUg0wbigEPTzcG5Xu26wOoJ4DFLaYzNYK3JcaVp1Cvblc+XTBx2Vxw2Dqr0hofvy1O9jNP9jG7un/0Ae5ox3VwjhRhop1b7WMy8E/NsPaSTaXqFwVoLAoyBBV0QKIlzdllBwLIxTcNLBQ1k1g4SmQJIux2Kfpe42eK1P/LP2bFjB51Ce+ZiKcPSChVCiA0bXlQYJ0HG2AqM3kdb1d63mmb6s4GZmRkajQa33XYbr3rVq9bddtzWPMYYK1GNh0ybgSRJHHgnZuPK9bZ1LGQ5k1HI4ekGR9sJvUJzsucG5oqF8VIkxln2TdSXmZw+udCjVxQoAYt5wTOLsLMeEZXGasNJxBPdlLyUTKnkmI61+zz8pfs58b2HAXjb297Gy1/+8nW/12aemRuJDeNn8IVhfKbGWHPwnO555sF0LSRWcplDLHiR1vk0R0nJvmZMrVAspAVxILHOUhg43ctp5wU4KKyjnWtSbcis1zqy2pAJzz6o4Nk+filSOO8EVTm3SgAHgfTHUwu86GtuLFnZKvmDb3+T733D06JvePmrmT58Eye66bjKMMZVjYohCEuOa2uN7dz6EbaY6UG7c7VoD0rntUBJ9rXq9IZafqdqXh9xMdOcTXKSgYCZQTtHIwwGybaFXFMvJyu90kW9+hvAdTMT7Juo8cR8DwOk2jCfFeSlY3sgJX1nkEIgpUApiROOwloW0oKDUw2eN9visbkOfe2PP3eQl+2SSns2k9Gap+7/OP35swRxjZe9/UfZObuDTq5JdOkKD/QKQ6swnO5n9HNNNzK0Yt8+0y0nPLMN7zzXKwytWA0WVLONeNBiXpmxrHddqusxvN04No2xWaw1Oa6SgJXm4eg9OYrRtubh/Yy+b0+poToVBxTWkWvDVDPmtt2Ty3TTKkOWynTNOUcgPVO4GQWExg4WKLVAUFMRZ/pLrN+KDR3gGceXI6koy8+v5h6Te67htje+ndrkNP2wRtpNiZRkOg5RkSjnP2pFK/hGME6CjLEWNsOUmYoDcm3ItKFfLB/3F8O4uVyL7P379/O+972PVquFEKN2S8sx1kQbY4yVGCYbVM/XSApvhloPiaTku2c7FM4/cxuh9yqQQtDJNOeSAodjMgppBAqBoF8YWtFSYvBMLwMhCGLBYu6ZiN6A0bP6g1J7HHz3TTNUNEPlYxXw8Jc+x4nvPQLAa96ylESsNMdHC/GwuWfm2Jzl0mF8tsZYc/BUj+xMG84mGYXxyb1D0wFnehlPLfbJStdSnKOTF7Qzz0yMJSDBWLx2Iv5my40lL1cEBpB2/QWCNQ4ryvbK8pgCCdpZHp/vkmnLZBywu1mjVxgW5+d46CtfAODaF72Mvbfcxtl+Tr8wDAvIj5OKY1wMriQK/LBm6Wr6ZNW/a7mvziU5FkpHZklaLu6tc0xEAXUlOZvk7KxH1KOl9+6sR2jrnZBbUej1wcqJCjhCIVACakqiSwOUQApmaiFn+zn/dHKeMxN1r5kKWOe37eWabq6JpGQyCmiGisw6tLE469A4zvQyFtMc58A4R00JcuMTiE5APfCTlm5h6Z86RvfMSVQYcsdb7mHXzp2DY2qGirBsyzbOlYUKRyh9e2IkxaCNY7VzOoypOCDThnxkAVe1Oo864Y0xxsVivcnxWozC1eD/XttQPBs2GaqS5/QyokAtSyKe6mXMp/mg6NfNDUI46koRKOHZfhakgGYY0NNLxYxqySGAOBAY50jN6jIHF4NQLDnCj0ICmYV0/iwIyeTMDkIpmD14mMJa4lLKIFaSQArOJjkztZADk5sXhYdxEmSM5Rg1ItioVEEjDIgCvWZR60KTgc/mIntxcZFer8c111zjP7N07B1jjDEuHI0w4FCprf7YXIejnYSpOKSbFwND04nIF89bUcBMLWQhLegVXnLEZQVTcUhmfP9PYS2p9gVBg0A5R19bYuUJPo1Q0SsM9VAN2p3nk5xerqmXa43cWmbikAOHDnPqice443Vv4hUvffHgmNcqxFffZyufmeNn8IVhfMbGWHPw7GrGRIHCWks3N8gBT9BP6GOlCKXAITjTywbGKF5TDZpBwFy2pHCkgboURM6R2aX9zNZDekVBX/vfVbmPAkqmkhtopSnh2Yi5sXRziwPamaERamqBZGbPLt7xIz/KsRMnuPaFL/fBz7FMQH5MXR7jYnEp76PNmnAMa5aOttRWCcZK32QhLWiGCimEZy4gOZcWnOtn7J6I2duq8/Rin6QUP55txOTa66Bot7TaboSBT8BpS2Ghn2eEAeQGFjJDKME4iJUoE3WOhTTD4qgpxdnUx4UnFpPBPnMHJ3r5IJmQW0tqLJ1ckxm3VHAo2cv5kF6awKEEaOfHe268y7MFJvYf4tpXvoGwOUE0vQMLdApNt9DUlCQsjZkceMa0sT5Baf1nd8vXcm3YtXR6V6ARBsTlAi4aWsANT97GGONSYrX2w41oC6223XrFkuHY0gwVC1lB3s8Gz9pIeW3FQHrmgsNhnVcXzbVGaIHDIYWPE75Q6cdryFJx0eLNlC4VijV2HeDnG9250zz5uY8jleKGN94D09NkxjIZBRyYrFMPPeP6qcX+IIY2wtYlO94xtg+G5xiVVEFuzs8urrYf/ne11zdbDH22FtlJkvCnf/qnLC4u8hM/8RMcPnz4kn/mGGNsB1Rj3lrLM4t9eoXFWMdkFDBbC5gpDRtPdFM6WcFipktPAgiEL651y99jBam29HLNTC2kESoW05xO7pONe5o1AumlkpplMR4YmBhqZ2kEnvm4qxnzupfdwc3XHeaanTMrWIfjQvyVjfFVuUqxkUnCepRhWJo4nOimNCJFJEN2N+MBPfrgVJ3cWJ5e7GMRBML5Fma8OYN13lV5WPeoW1hqSzEFKeCaiRqPnSsGScqgZDLCSraic16noVfmJ0OWWjl61kEMz7v1VvbdcDPnkpzpUA0cn1ajRI8xxoXgUlbnN2vCsdaxjDormtKYpF22D1caZ4UxIAQCMXBjzY1n3EzFAafLpGJSGIoh/bRMGwrHQEMssBDK0iShZBpr46gHikwXpNp6t+ah9opRDI93h1/oV0zoYchVtq2c4DX4xKMukGGEA6YP3+j37xyR9Ayi+bQgKzSd3BBKyUwtZFcrQltHZgwTYYCAFQ7M612TcWvEGJcTGy1wjG7XLzSne9ky+ZL19jVcvBD41v9cV6Znjuumm+xp1jjdSznby8mdX4g0IoXBIZyXJRF493MpBFI4jJ9C+ELEZRRIjAJYOHGcJ+//FFYX1Kb2EMZ1rHU+MeocYc8XIM4mOcbYQQzdLK4kdvtzHb/2a7/Ghz70oWWv3XLLLTz66KOX6YguHMPPks2wi2HtpN/w6wM2MUsx4HLfh0VR8Od//uecPXuWyclJduzYAYzHyBhjbBbV+r4y/ZuIAk71Mnpa088NqXEIIJSCWqDYUfdz3xPd1OsYO0cn9Qaq9VAwGYVMlK3MqbGkhWEhycvkokAIQb/wD+1Ea+azoizGGxKtKQxkxhBJ/9ws8oJHHvg8b3jdawdj+sZ9u1Z8j3Eh/srHpq/OzMzMqjoVQghqtRo33ngjP/3TP83P/MzPbMkBjnFhWG8RUD2U89ItFVZShoe3zbRhJg4HC4wT3XSgGZYZS2EtQsBsPWY+yRAOjHUUtgxUJevA4hcJyVBmMXfwyJkO+dBn5pY1p+O1UJAN0QjiUGDmT/O1L3yWm1/7VtTM1LLJ1ujEY1grYqybuDbG43x9XMrq/EZMOKqFf6VrNlwIGGYLVULGnlXnq4NziUFbw2QUM1WPmI4D5pKcOFAkhSEOvJZhN/efEUpBKwqoKcmZJOd0L2WunzFbj+gXhoUsBwuTtYh+odHGEgUCYx21MKCXe41Ez1aCehDgrEUphbGWRBuchTDwy/C01Dh0lEUJGBQkqtzCdKyIlGI+yXH4gsRUHNKKAo51+jz5ja/SOfkMz3vD3TQnJki1b8EW+DbJqTBgRy1ECq/fkhjDVOwrsrrUj9xdasEBdHKNcW7Q6rxaC/NwMoY1GB/bdUE0jidbh/XuoY0msiPpx1pU6qEebSccWez7dv5yLrDeviIp0MbSycoCYOm+npbP9qOdhF3NmHqgiANJUViMA2MsE2GIFP57pLpkGpfyBK783bCyWPBs4tQzz/DUF/8OZwxTe/dz2xvehlXeKE6V524+y7HWkRtLMwxoldISmx3j271LYqtjwwte8AL+/u//fvB7EDw3z+laGrqLZZfPavP6ak6QG880OjBZZ7ax+j05Or4v931oreX//t//yzPPPEOtVuPee+9lcnLyiji2MS4PxvOGC0fVElwVwWtZMZAXiZXChhYlAvZOxLTikCfOdVnIioEmsCq1xEIhCKUkt950ZbYeQa452U2xzq/vFzODsw6Dn6s7JzjdzUi17xp01pFog3EwESpCZ/n2Zz7O/IljdObO8L73va9MRG7P+fFzHZu+Ur/yK7/Cb/zGbyxz1Pna177GJz/5Sd7//vfz5JNP8vM///NorfnZn/3ZLT/gMTaG9RYB1UO5Gap1KcP90vFxMS9QCCaiYNkCw1rLXJKhpATnWMgKijIJqJQgKVuSYuF1jrpDCcDhRUK+/GPX1UEKpcAEYLQjUgLVXeBLH/8oRZ5z7tEHue3Nb91QxXY8MVkf43F++bAREw6vmbQ0SRguBAyzhfZNeF3Q3Dq6haFfeKc0nF+wV3+XUnIuyQeOqwIGpiitKMDhq5CLWUG/sGibMtuIOTTdpJWECPAmJbp0OdUOpbyb8ZkkH1QqlaM0XfFxZ0c94pnFPse7Gc469jRi+trQSTVF+V0FUAslvWIprdDJDa1Y0IwD8pK6NFOPmKlH/ONXv8yZx/4JgHMnjxNdfxOuZE46a5lLcpQQKCnZUY+YT3IWcz+BkVIOiiTV+Tw0HQzYG7l1zK7RwlxdE2BN5uJ2jTvjeLJ1WOseGpVEWK9QVpktVQ7NifYMhED6JGH13io+jH6GTxpauoWhFSliJVkYenBr5wYu0I0woHA5ufYFxUYoSQpDTy9JpeQObJlEtIC9TBnEADh39AhPf/nvcdYyec1BXv6WtxNFEQtZTqEt0zXFRBRwNsmZjgJm6wolBUlhOJvknC2LG1Db0Bjf7izmrY4NQRCwd+/eS33YlwXnYwlXc4LC+AV8qCSzjXjV943OM7biPrzQRIBzjk984hM8+uijKKX4l//yX7J79+4tPbYxnnsYzxsuDP3CE4VmaiHThNSUn9+3s5xAClpRyM5GjVhJYiWJpCDTBl11AgowGqJA+HHsIMkLerlhPsl8UdBCJGGqFjGf+tii8EX9pDRUrZBog3a+02BfTfGZj/0/5k+eIIwi3vrWtw6SxRcyPx4nHy8/Nn3Wv/jFL/Lrv/7r/NzP/dyy1z/ykY/wd3/3d/zVX/0Vt99+O7/3e783HtiXAaOGCqtVL9di643idCmW7p0VvXh6qg0/WOhhLRTWUpQVCQv0C7uUHBzSNcosZHZlejBgqS1yGJUe4ihCAbO1mLkkwwiHbs/z7U9/jCLPmdxzDQdf8ipa0VI79nptG8NmE2Nm4kqMx/nW4VI86IZbkEedVofv7e/NdUhKd7VUaxJtiAPBRBixZ4g9Y0vTlKk4QEo50D5r5/49E1HAznrEYlqQ65yakj6ZUBhO9VK0NvSMH9P1Uh/ROcdEGKKkAJeTae/qPNfPONbNCAE34/VZzoiMwsLZfoaUwhsslImFQHo5g2FIvAmUw2uxKulf+9wXv8wzD34dgGtfcifX3/y8UvBZI/BmL6qcNFn85wlgJg7Z04xXGKsMn9NhFuIoo2v4mlSvd3LNRKiWxZjRBdF2mQSN48nW4XxSBhXWm5CP3r8HWnVCKX1MsY5zSU6mDXGwdG/O9TO+P99DlOxfJSkZyZ6pGyo5iCPT5Xh6cqFHv9BY61mGmXEspAWU7pDDz/nV5gLPNhZPHOWpL30anGPy2uu49pVvYC6zhIVnXzggUL6o2isM0/WI3c3Yt5CVRRrnYKa2cdfm7S7wvtWx4fHHH+eaa66hVqtx55138uEPf5iDBw+uum2WZWRZNvi93W5f3Je5xFht7A93IFRzgoqROOywPvq+UZzvPtzIs+pCC2Vf/OIX+cd//EcAfuzHfoxDhw5t6tjGuDoxnjesxEa0i3NtBgXxqhh4NsnJjX8Ga1uQaIMUgkakONFNyYyjGQj2NmvMpTlJYRAIWqEvlEXKdzZpBxJBIL0js3aOQApyHNp6+THhlshCChASlIUp5fj83/wVZ0+eIIxj3vyj/4Jodg9z/Wxg0rajHm2qYLDRmLNd5tqXA/L8myzHpz71Kd70pjeteP2Nb3wjn/rUpwB4+9vfzg9+8IOLP7oxNo1qUC1metnPw2iEnmkw3OI718840U0HwqrgDQsy4zXFpuIAJQVPt/ucTTRzmfYMIWvJrB04plbL6vPJo1s2tnCQIz8HSrKrWSPvtXno7/+WPE1p7dzNda9+C13DgBE0FQfLAtLouajOQbVoGj1H2x3jcb51WGscXgy8ZlKTm2dbHJ5urmAwVvf28W7KqX7G2SSnk/uFrhKSg1ONZUyFxUz7FmEp2TdRG7ANlfAJMWMds40YJQVSCizQKwyn+hm93NAtHVUN0IgC34ZsIZB+0R0HCqUEQkBa5gQL/OTGAqIsRqTWtzYPt7NY67USh1OJhYNEOzLtsDimahHfffg7fO+r3rH90Atfyite8Upu3tniwFSDXc0aN+9scf2OCYQQLOaaTq6ZS3J6hWF3+Z2HY+Po+Y4DRbcwfqI2wugaviaHppvk1tErDFGglsWY0f1finvjSsQ4nlw8qmc1sOL53S/0smfe6PNvFKP372wj5tZdk8w24sF7BQzuzX6h+f58j3auS6dGQz/3z31tzODBHweCiVK0/WySs5AWJNoO2AkWL9BucUTSLzLUKsd3uVDbuZv6zE6mD9/EwTvfiFSKwkFqfHFECKgpxe5mzMGpBrubMad7GSd7GfVQsX+ixv5W7bzOumMsYStjwyte8Qr++I//mE9+8pP8wR/8AU8++SQ//MM/TKfTWXX7D3/4w0xNTQ3+u/baay/uy1xiDD8/5voZj5xp80w7GbDlqznB9TNNdpcJhNGYcaEYflYNx51hnC/urAZrLUePHgXgrW99K7feeusFH+MYVxfG84aVWG/OWP2t6vYZHoetKKAeSAIBWEdaGPraer3EsiMhUmqwdvfS5L6Yn2jLjnrE3okaoZSloaqgrx293DAVh9SVXGbG2ggE10xEHJisMRlGRCbnHz/+15w4cYJ6vcE7f/w97N67b9AJVcWwteLUxcac7TLXvhzY9FNlx44d/M3f/A2/+Iu/uOz1v/mbvxkI4/Z6PVqtsXPd5cBG9NWGMWzI0C8MzzjHDTNNZhsxkZJI4U0MjHW0swJtfUKvkjkMlCQpvEZiM5Ro50i0W6FttJa5wnm/T6TIrMEYCEPPJJpbbPPYZ+6jSPo0pnfw2ne+CxdGCMSgArvRto1xy8TqGI/zrcNaTomw3JH5fBWzzVbUolLbMNG2dDF2CAFhyTisjinXpmQde5Zf9aA+2k44lxYYYzndy0j0OSajoGybsCykOaGU1ENBqB2Jhek48O3JucYJyLSlV6QUxuGsQyKIWJIzMMaijfWsRbtUjMiGGIj1UGKBrLCDdueASlNRsKcR89T3H+efPv8ZAHbfchvXvfBlnOvnHJnv0QgVO5sxncy/e7oWMkPov2/J3jjbzwZ/d0CtdJKrFmynetmqE5bVmCGrMQ+r6zHKft4u8WccTy4eq1XefTtjynwiOTzdWNaKvJ4L8/nuu7xsXZ4I1aCzwbsvSkIp6WmDdl4LtR54w6ZQCibjkNm6Z0V9/1yXZJUW5aqN2bD2nOBy6SOqMOK619+NDEKEEF7vCa8X5WOOwpTu9dW5FpQ600pyaHodW/cxVsVWxoa3ve1tg59vv/12XvGKV3Do0CH+9//+3/zrf/2vV2z/wQ9+kF/6pV8a/N5ut6/4ZGKFU72M0/2MHbWQXc3asrE8arQGy+NB9Uzb04yZbcRsBMMxYy0W0IUwB6WUvPvd7+bRRx9dkUQcs4i2N8bzBj9Wj7YT6qHiwGT9vNrFAp80HB7Xx9p9ziYZjVAhS8+CQAqs83qJzUghZUE/L3hmUSNkKVEmBJ3y2e+A+TSnnfvVfxVXEmOZLQv/w12GFtjbrJEbvwZ4/IEvMH/2LBMTE7z3ve9l165d9AuNG9J6X2s+PWr+BsvXTmMJkcuLTZ/R//Af/gM///M/z2c/+9mBZsHXv/51Pv7xj/Pf/tt/A+DTn/40r33ta7f2SMfYEDairzaMKvBMxd5coVNojrYTurkmN5Z9EzW6pVmCwFFYSy2QJKWYQqF9EtE5BhpmVTCpFgICaIWS7lDr80bRy81gX1nuyIqUJ77wD+S9DrXWJG9+179gZrLFRBSQWzdoTdwoxi0Tq2M8zrcOazklwvL2w/NR9DfbNpRbRy1QGOtYyLwJCkJQWDtgIjXCgCjQdAuDAAprBhW7492Ufq4RQqC1ZyEcnvbf5VSRUaSWRhTQiiJEBH1t2N3wBi71fkY/13TyAmPBCd/ukBhDFEqc9uYLmXXe3a1shRD4IsVwJ7PXcA2ZM779GXx8mQgU9UDRihTfeeCL4Bw7rruZgy++k8w5srSgAIrc0Iy8PiTAwamlhMuJbsrTi306+XKl1vqQ6US1YAO4ddfksuu61vUZraquJrdQ/bsd4s84nlw81ioSzieS3NgB43WtxXd1f/qWZbXm4vxML+PJxT6hFOxsxBxZ6DMVB+yfrJNpw0JaYI1lMgpphIrCWPqFdzl//k4/Ph4/18WuUz48Hyfg2UwinvnugwDsev6LAJ9MrKCEj0mTccjuZkw3LwYmVIdLJ8ldzZioPJ/jxMfmcSljw/T0NDfffDNPPPHEqn+P45g43lgi7UpDVTRfLRk4LG/SzfWgQFjdk8PPtI0mEld7Vl3MorzdbtNqtRBCIKVclYm4XTWFx/AYzxv8WD3Vz4iUpBWHg7nrMLOueuYMdxpUrs2ZsTy92KdXWELpNQwdAmsht5Z2niNFVBYP/bM3sBAqnyQ0haURQDdXdMvOpWFIoJcXpMahhNdNLCxMRiFzScZiSUA6+LJXIW3B/+9H7mF2dhbwY1qQMZ8W7C3j2ZGF3qCzsVvO2UfN3y4kLmyXufblgHDObZoo9qUvfYnf//3f57HHHgPglltu4d/+23/LXXfdteUHuB7a7TZTU1MsLi4O3L3G2ByqxW3l7nqqlxFIwXzq2TkHpxpk2nCql5XaYpbc+EW5K3WORtsOLzWKpM+xr93Pi1/zBhqtSYT0OmnDdO7KPXXYaXrUgOK5hmf7fr9SxvmF4HLHhrUWlJthJI6yBjbLWKxcHOeTnG6hiZXXOmlFAdY6TnRTpmshB6ca5NZhreVsP6ceKmbrESe6KfNJATjaufZagrUIC3SyYuDKHoeC6SjCOEeoJDNxyFOLfdq58fqGtpycAJES5GbJVEEAIUsMRVFup6RvaZbSC8b3CjswgbFATUIzDNBYAiHJej2OPPwtDr/olYSBAgFZYeiX5k874oBISXpFQTMMMUBa+DZN6WCmETNdC8mNZSHTOGe5frrJ/snGMkbiqKPzhTJKR997sbjc9/tGcKXEk+fCudoMRu+7tZ516+knDePIQo9j3YSJIEAIOJcW7G7EHJ5ucKY0Y6pc3R1greNYJ0EIr6taOZyHUjKfFAMW8TCGJVAuF/vQOcfph77B6Ye/CcANb/oRGjv3DP4eABORohEqdtQjDkzWOdPLONpNaYWKG3dMrBi7V+I847lwv1+q2NDtdjl48CC/9mu/xgc+8IHzbv9snquNJp03oom23j5OdFNO9VIiKQct9xfCSNxKnDt3jj/8wz/kec97HnfffTdSrq6yNU7MX1ps59iwWVyuczXKSBx9xgOc6qZESlJTkpO9jMlyvnu8m6KNJdOln4EUWOur9s4uPXcV/ueq01AAzUBQWEdhIZbQjEO6WUFqGTD1ffeOYP9EjfmswAFZobFCUlOCTj/FqZBQQhhI9jVrA/kU8HPgdlawkBbsacbEgeLpxT7A4PfNxr1xzNgabOZ+v6Cz/KpXvYpXvepVF3RwY1xabGQQDYszZ9oM2pcaoadDz/W9qYoQglx7owbwmolxXZIay/FOQlosuTwNU5q3AqOLC+eWdNPCeoPrX/s2skCQZQWRgHpTESpJrg1nysSndl6nbE8zJteGZvk9x9gYxuP8wrHR1p/1/jbKGjhfRW30M72un9fzi5Ti2iEm3v1PnWExNyTasLdVZ99EjRPdlNRYUmNpxSGzjRghBL1cI3KNwbc2BEqipCAtE4I6d4TS0AjUQE8xKc1Mhp3bNOCMG0xWwE9E8pHfAZqlU3QjUJzqZoNYUCUZAZI8p3ASiyUMY15012txeIc4YMBedECv0ORWkmpHonPMUPFDAjPAzbMtTnTTUpTaM7z2l+d+thFzoptysuMnOfEqrsznuz5rMVO3y2RnHE+2BlWBYLhQthEZj2q7fqGhly2TMajmA7l1tKKA66cnmIoDksIQlCYsi5lnLodDBcd+uY++tuTWcjbxacN6IJmMFe28oBga8AFLxYDq5cuVRDz54AOcfew7AOx94cuXJRHBxytddjn0teHxc13qgaKmJJ3ccLSd0IrDbSlVsNXYqtjwy7/8y7zzne/k0KFDHD9+nF/91V9FKcV73vOeLTjKrcVipjnVXZIluBADk+pvuTZEwerz/tVYy9Uz7XKg1+vxp3/6p/T7fY4fP05RFGuyQscsojG2+7xhtuFNAIcZiANJonJ9HilJbi3dXNMtNJmxKMFANigMBMI6QgGp80nEIPCty4EQGOfICi99pJ1PFE7VQl90SHJEWfoLpCDGm6soIcmNITeOM/2MHfWIhTRHSC8Jsnhujof//m/Ze/vL2XX9zZjcctz26RSaqSikGarBfKIVBV7DMVQDw8JqbrMa1osLYxbzs48LOsvGGP7f//t/fPe73wXgBS94Affccw9KXUmy2dsTaw2i4QTjqH5KVdV4aqE3YP2oUlC1WxoGxIGiVxhiVbIJnA84Br+w90Fr677H8OLCGsPTX/o0UwdvYObwTYO/Z9oRSIcNfJANpSBRkumad4xsZwW9QvPYuRznBAdaFyc2vd0wHucXjs248671t+HWpdWwmhP5sLNw9dreZoxjSaMvkoKpKKCbaXILD51ewNpJZkpW8kKas5h4ZmIolyYQzUDRCLwDsi7ZiODjQa9sne4Wli6aQJVJA+E10So4zl908GPbUlhLkutl28aBQFtH1lnku5/5Ww686JXsPHwDzvmknnXeSS5UcnB8Eq/zqo2lMpMPhj6r4kLM9TPaWUFNSSbKCc3wuc60YaYWLtNyqSZzlevcRtmJ2zHhMI4nm8dq95HXRfQFhqr9fnTbUTbccPGwan/qFUsyBsPzgVAKEm3oZJ4BsacZL9MIPdbucy4tmIxDrHUsZl6+oHJilvhFSKLtijnBlSBz7pzj+D9+kXPf9/fhvhffxc6bbyOEFezJvrYsJAUORyf3LpfNyMfFpDAU1q1wtx7PMTaPrYoNR48e5T3veQ9zc3Ps2rWLV7/61TzwwAPs2rXrUhz2RWGQ4LNLCb5hDI/ZqmNoWGPXaxX7AnlqLCdLhmHVcl/Bm4A1lrHhRz9jM+yd1TofNrqPPM/5sz/7M+bn55menubee+/dUGv5mGW0fbFd5w3D4/9UqSMIS2vYXmHIrSUO1GB8W2uJlaRwjk5WeJ3CRkxmLPNpji4lhRwQI9hRi6gFilPdFKkcgRA0pMQ6y1w/56zLsWVSoBkqpIQAWRooCk73DAZoF5ZOkaKEj2tx2uEfP/0xdJoy99h3mD50I0JKjIZYW3JlB0z/TBsKa8itYzYMVsSvzZCjNqL/PMbWY9Nn+oknnuDtb387x44d45ZbbgG889m1117Lfffdxw033LDlBznGxrHWIBpOMI7qp3SygtPdlK42BEIwUwsx1qKtrzxYa+kVxlOky6DWL8yA1ePsygn4VsFZy9EHPkvn+NP0Tp9geu8BZK0+oFUbC4U2SAGZhloguXayPmgFPbLQ986wzl6Q2ct2xXicXxxGF5QbYRWM/u18rIG1GIjnkpyoXJg0woBD08tZcAJvGhAFkqywdArHsU7K/skGhXUkxnGqn7Gz4SuDfW1ACHY1YmbqEY/Ndcjt0ngy+ERdVlIAc8AZiEO//2GlNIs3ZeoUy3lIwwxkg3eJG61LSAAhyPtdHv3MfRT9Hie/+21mD16HRpJ5mzmUdRjrtVUr9pMuCx/Dx6wkiLL1uV+ymDulJuT+ycayc7+YeZ3Y0ZbFqDzf/cIsE7U/X1V0uyUcxvHkwrDafTQVB4Oq/XCh4shCf8ViY3Q/1VicKCfxo2ZAedmmfLqXUVOSWElO9TIW84JuHnLb7kmOOkgLS2EyKtNyCdQiNdAU1MaykBVXROJwGM5ajn7tfhaOPA7A/pe/hh3XPw9YPoepzpMF5jK91IrtHKG2zDQ9SyRSnul1qpextxkPYu0YG8dWxoa/+Iu/uFSHueVYK8FXLYozbZY9c0ZZ7IuZZj4tPIvIWrRbKu4N72e9BPfp3lKL8+gCfi2MxqSNMoCMMfzlX/4lx48fp16vc++99zIxMXFBnznG9sB2njcMP7Nzu9yMZDHzHgZCeIPEpOwuFMBNs35MPX6uS68wREpirEMKgSznvBbQFpLCkGpLoi3WgQocxlgy45Y/u53fVilBri3WFUwRePFz3GA9bh2k82f54ic/SpFlNHbs5Ife9A76pXRBKOHGmeZAImgqDqAkN62W+BvMa+zq85rRcwUX704/xuax6bP9gQ98gBtuuIEHHnhg4Jo0NzfHT/7kT/KBD3yA++67b8sPcowLRzWZsNYv6G1Z/aySiAtZMUgSCiFQgSjbAy2JNtRLtt98WlBYi3GObl6QDy3KL1WCzjnHsa9/gcVnfoCQkue95i1EjTrGekHXRuhZVRZBZizCCeJALDOSODzdoBmqZbpmY5wf43G+tdiI01rlpLwWVmMgVvvcCHuhkxVoY2lFQaln4l2SA+FZSMfafdLSVKmmJKd7qdcQFF5XZT4tmIoDrpmocS4t6Be6ZOX4GFC5MUsgDHxisZqMDLN9usXKZsaKCT2ccIyFZzSm5eYKyJM+j37mb8n7XWqtKW5+3duwSP89Sl3Fah/B0L4rJmNaus6r8u9BIFDKJ0BqSqJqIfNJzrF2H2stUvrJ22rXaJgR0irNnkav81R8+fWorgSM48mFYbW40Vilar+Y6RWLDVid1TTMnB3eZ7X98Y4jkp55t5AVGOcI8A7nZ3oZXa3Ltl//3hBoxAGz9RDn4Fg3ITPmiizcdU4e9UlEIbj2la9n+tCNq27XCHzwqQzkHP57RqFgth4xXQvpFoZWvMSKGf2+YxbVxrCdY8NqCb5qUTyc7B88v60dPIMqRuPZJEcby1QtxMGgG2Ejybfc+Hl+blY+k9fCas+44X9Xg3OOv/3bv+WJJ54gCAJ+4id+gp07d17wZ46xPbCdYsNa8/vqmR1JMegg8N1HIe2s4Gw/53QvIzVmUNg7NN3kQKvOsU7CuTQn146pOCRSMc8s9jHWGx3mqUayVDTra1hrRV843wUIYIxDlZ1Jw+idOcnD938Cqwumdu/lRW9+BzsnJzjZT+lnlqk4ZKYeDWLTYqbXTfxVCdNIyRVrmmGM48PlxabP+v33379sUAPMzs7yW7/1W9tax+BKwVrVwmqRXg3M3FiKMghMRApKvQLj/IJ6bzOmnWucc6XJgKVTMFggrO3HuDVwznHiW19h/snHQAiue9Ub2XvokHeNEhAryWQc0IoU2jpy42hG3iRidNE1ZglsHuNxvrVYj4E27LS2HlZjII5q7p2PvQAQGksn12SFI5CU+iqeldgtNAhBaizdUgM1wCEkLKY5i7WQW3dNDvZ/tp+xkHrTBSegJoAy8VglDisn5gqrfcvR1xxenDlWkjT1k6c0z3jys/eRdRaJGhO88u530ZMRaVlYaEYB/VxTOMhtKbmAP544UAjjddyq4wmEYLIWDRiJqbHMlCYzee4rtM0oWHZMw9eo0ozbUY9WJAiHr82Rhf6mHTKvNozjyYUlljbCXB203cfhCl2hKmasZrxyopt6g6Ukx1qHxeGcTxBOxt6RuZ1rmqX50nxakBlLli+NZoE3RKoFPsHWK8xgYXIlYvKag+x94SuIWpNMHbhuze2UELTikFbomE9yhIDZRkQzDDDWYUpph0gKpoZE4YcxZlFtDOPYsBzDi+KqCHhkoc+pXuo1OwM10Ezb04wprKWb+26iSq6gSkRU0hvDjs3DiJSkHnhm7Uaxms7z+e7vEydO8O1vfxshBP/iX/wLDhw4sOHP2+hnjHH1YTvFhvXm97A0x8+1X4PPJTm93CCEK41PBRJYSAt2FV4bvZMb5hOvCe6coxmrQWEeyq6+DR7fMs8CoF84qjKaBNqnjnHk85/CGU1r9z5e+tZ3Mt1sECnJRBhgjG+1Pl22aWtjV5AnVk+m1pZJsq2mBzuOD5cXmz7zcRzT6XRWvN7tdomiaEsOaowLx1pVwuGqxqlehraOViSplZOIVhTw9GKfhbQgiQKkFMz1MzLjmE98+0QrCgiUxFg4lxQXLJK+kSTk6Ye+wdz3HgLgwMtfS3P/dcwnmp2NCCkFvazgXJqzr1kjVJJMG/a36tt2ob7V2M7j/NlmkkRSYKylnRXrfuZaVbcqkRCW7Q39Qi8b908t9GjnmqAUNW6GauC+GgnBdByiJOTatz8oKXClILMElILC+AnH0XbC0XaPRJftwSxNRArn/6tJx/D8QAJxUFU7V8ewi+vS97KkJSPIas2Rz3+SZH6OIK5z/eveThLEFNov6BWQa0tesaRKTZdWFNAt/CKrXVgU0IoVSvh0R6/Q7Kz5mDKf5rSzgkagiKRkZz1CO8exTp+aUkxEAdZaHjnTZk8zXnaO16qUwvm1LrcDtms8WU2bGDaWWNqoy/dw2/16lfrVjqWXa86lOUXJNJACJmsBtUDRzgocglppLKSE11IcXogooB4oLKI8Do25wrKIVhc4a1GRH3+7nv/C876nW1i6RcZEKDzTy/m2rTP9lNxAX2sm42ig6wQM2CJj45XNYbvGhrUwvCjuF5rHz3VZzLyJmS3bEb1Oajp4ToXSj+uKQV/tp5LeWE2DEXyXzmpJ8K3GNddcw3ve8x663e6gRXWMMc6H7RQbzve8qF7PShmeXuElvepKkWjDznqIFIJeoXnkbBttoSgliAwwn2na2daJjVj8nECVXgm90ydwRjOx9wCHXv0WzuXQswmhkljrSmMXz4I+k+QUxjKVhwMZsmE5B1jbwDDTZlygu8Kw8TJUiXe84x28733v46tf/SrOOZxzPPDAA/zcz/0c99xzz6U4xjE2gUYYLKMKV7/PNuLBv4enG+yfrHPjjglacViKtjoW8oLF3PB0u8/T7T7nMkNPW+YyzdlUc7SbcqKT0L5I7aPzrTO6J49y+uFvAl4Ifea6mwEv1N5Oc0Ip6GtLN7c80+5zvJNwJsl5crHHUwu9gRNlhYp9Mfr6GGtjK8f5H/zBH3D77bczOTnJ5OQkd955J5/4xCfW3P6P//iPEUIs+69Wq625/VZjmHb/bCC3jkRbFtJi3c8cHdsVqkSCtm4ZI2HfRI3cOk72MuaS3BcP4hApJZm13mhECiaiAG2hU2hKzwT6Qz+bMologK62dPVS8nC1amZuWebU6gAl5OBhI1hKHLZCyUQoCfBJjOEHkmXJnOHcDx6lf/YUMow4/Lq3E05O09feAboqTCTafycLCCnY3axxzWSDnY2YvjYU5fHubtb44UM7iQNFqr1LdSNQLKYF50rW5lQtpB4FaOs4lxScTXLiUubhdNmqPHyO17tfZhsxt+6a3NZFju06bxiOJZVZyUYX7cPvrX4+08sGzzLPVOrRyQqa4erJgKqqv5hpjrYTnl7sc6Y0TpkIPbOpGQY0I0UgQUpJIwxohgFSeNH1U72MY52Uc2nBQlqM7F9y/UyTAxM19jRjnAMQK47jcsHkOU9+7uM8+bmPY4r8/G8oUcWRduE4mxS0s4KFJCfRFpxlIgqXtZ1WjLHhGLBWvB5jObZrbNgIFjNNNzdY59g7UePaqToHJuul3MaSE7PDj92KdVzFiPPFnEt9jzq3NNu/6aabuOOOOy7J54xxdWI7xYbzjcXq77ubMTO1kMk4YGc9ojDWmxMaS7PU7V1ICk52MxZTTSC87JDgEpidOa97GAB7bnsJB17+Gm5+zT9DBQEaSLSjXxhqgWJ3M6ZRdvjIsvthLsk5stDjTC8bdE6uFa+Gv/9m5lFjXHps+kr83u/9Hj/1Uz/FnXfeSRiGAGitueeee/jd3/3dLT/AMTaH87GphjWThrUTk1zTS41PHji3KqugsAzaoS8lmnv2s/N5L0SFETtvvm3Z37SFU72Uwi0dE4UhDCSdTHv9xCEnSxi3GF0ItnKcHzhwgN/6rd/ipptuwjnH//gf/4Mf+ZEf4Vvf+hYveMELVn3P5OQkjz322OB3IZ69xemlZJKsNj6n4oCZWkhSmFV1EofHbCf3wv/DLYyVfl9NSTqlllLVsqhK8ySRQjvPOTLvEAJiKZERSCE41c9oBorJOCTJNYk2GLvkaDx8RAErJyNV8s+O/MvQ73mZ5IPlhYRkyIxltZhTmbDM3vQCdNKntf8g9ZnZFfsvStOUiiGZGsfxTkKqDa7UfCyMpRYqgpJtHUoxON/WOWYbEc5Bo9wm14Zaqc3i8DFSScGO0hW+QnWfDLMVt3PScDVsl3nDejqmm22/WS0ODVfjc204stgnUpLrppvr6gyd6qalIZAbjL9eYTDWMV0LOdvPkAKiQLC3GVMLFItZTjvTaOtblyOlSI32hiolC6FTWB4726EZBUjhWb3GXnrpk41AZylHPvdxkvmzyDAi73ZWxI7VUB37cDzJSjV5AUzHih21cLD90XbC8U5CHEiubdVXOGSPNRLXx3aJDReCqThgf6uGACaigE6umUtyolyypxkPuoyq+2yun/H9+R5CQN6IB/dxUs73t/JePN9a4+mnn+a+++7j3e9+97LW1Ev1eWNcfRjHBo/RZ0qkpO+yyTSLWYGx0M01UaCYikO0tfSKzBsXWqgrQU0KcmtJN9rLzPmf4/MnjzKzey8qCFBWsOfG5+HKiX61dtAWAinY36pzquyEqgcBSlhSbQf64VVy8Hxje9zGfOVh01djenqaj370ozz++OM8+uijADz/+c/nxhtXF60e49nF+ZJmo5qJ1b9nkxwkKAu1MKAwFoUbsJJWSyBcKggh2PeiVyyrZlIea6B88qOuHGGgMMYH1ck4oLCWYCg5UGGziaHxhGVrx/k73/nOZb//xm/8Bn/wB3/AAw88sGYiUQjB3r17N3/gW4BL+aBabXw2woBWHFJYt6pO4vCY7eR+FA4nyyuNxdT4B3NashsXsoJISW6ZbXnJgsKR5DlKCRqh4ppmnaMdb4wggZ2NmEwbCrfENLR4AxVYmhiMTi4UpUOzsVQ+KqPJxGzka1X7WC+mBM6hhCND+vvhhS8Hlhu3VDDl8UXSO7mDb0+05AP9p9lGTCsKKKzjVC8jt45ASfql5szBqSbg2zeNdXStd8FDCArjE7PNKGBXs7YsUVjdL4+caW97LcS1sF3mDefTOdoMVtMiG342ndaGUMo12YgVpuKAMz3QzjEdB7SioGyXLJiKQpzzWkraAcIgpddM9a1Rfh+xkrTKzxDC0cm8nrIDesbRS0ZH5OVFkfR58nP3kS3Oo+Ia173u7RtKIsJyEznL8lgnyv+fTXJSbZmuhcwlmXeZd34xVzGUh+Pkdp1HbATbJTZcqEZqZax0optyqpfRLwxCwHVTDQ5NN5dtf2ShTzvXKFzp6GoJpKRVmC2/F0dj3fD36y3M8+d//uekacoXvvAFfuRHfmTLP2+Mqx/bJTZUGI0R1e+5NnQLM3imOOdYzAp0WX1X0kuPhdI/m2pKsbsRcaLvx0tiHFI48k0kEWH9JOK5HzzGsa/dz9y+a7nptW8hCBSJXnpPZYAIglBJ5pKc0/2MnfWIPRO1geFrZYQ6HtPPXVzwlbvpppu46aabtvJYxtgCeDcnQ76GwPIwe6YSWTfOkWlvdxpJr7GgLTQiSV5YCnfpk4jt408z/4NHufaVb0AG1YJlKSHYVN4wQSmBK8XOM22JAslk7PXLzvZzUq3p5HrVhf5GMZ6wLGGrx7kxhr/8y7+k1+tx5513rrldt9vl0KFDWGt58YtfzG/+5m+umXQEyLKMLMsGv7fb7S075q3EWknttbTMwLOQJkqWXF9rBD5ZPlylDMqHcuVQfraXUWifWD/ZSUi0IZQQKYXAkRvDYpoTK4UE9jRiaqHiHIBbKhwMayDC8iTi8M/GWuwGRVMVKxONo3DOcfRbXyHrdbn2rjci1ZI76mqxSAGRWkoiAtQDwUQYkJSC891UsxgUCOkQTjAZh7SiwBcohgoQFbszNdZrRArBZOSZIcMaVKMYayGeH1f7vOFi2MzruXsPx4R9EzX6hWcm72/VCKXgyEJ/2ftGFySTcUiiLZNxSF5KIFgH07WQQAqOthOfSERwtp8RK0moBLHyTujaOXq5xjhLoS3D9Y6aZJlu4uVG3uvy5OfuI+8sEtQaXPf6u6lNzVzQvqqvJfGsTADrLAtJQe4sScnyrIeSSPrYO6pLPW7B2hiu9tiw2XnlXD/jaCehHqhBO/OeZszZJCfTdkRPeGm8d/OAXmFoZwXNMKAWyBX6iVuB0Vg30F3tdvjbv/ifpGnK/v37edvb3rah/Z0v0TrWHN2+uNpjQ4XRGHG6l3GsZLvvrMeEUjCX5JxLcvra0ApDJuKAxbRgPtMs5AXd3BMDRpu4elu4iJ97/BGOf+OLAITNCQIVkGq3LCZZYDIKiQNv3lrFrXZecP2M76CoTKPGeG5jQxH5l37plza8w//yX/7LBR/MGBvHWg/dRhggyDjZy8iMpRWHq7obneimpNrSKzSFNmRltkAKhzZ+sZ4WPrl4qVuUuqeP8/SXPo0zhrPfe4jdt75oxTaJcUSBoxEEtDPtGRRAYYyfLCnJRKToFV7MdT3zg/Nhu05YLuU4/853vsOdd95JmqZMTEzw13/919x6662rbnvLLbfwR3/0R9x+++0sLi7y27/929x11108/PDDa7r9ffjDH+ZDH/rQpo7pcmCtpPZqDswVKiMFqBJlnrmYDzmyGuvo5Jp6mUjoas8wEoXhjHVo6wikpBkFpNqQZRpjNfVQ+RhR7j8pM3GVkPIwKdixxE6EpbbjAq+juJFcgsRrqqyVeKhJr7F48uFvcqY0W+qdOkbrmoPLjmO1/dbDgHPp0qRkunRkzrQZfF6u/Q8KR6gMOxvxICFasUErdqcD2rnGOMdsHLF/srHud5ttjFuah7Ed5w0Xw0A81cvWZLSOLjCGHcPny0o/MJiYj4qWV6YKlTzCznrk26Ok4FgnJVCS0FrAL1Sk8K39CIEQjiS3yMibMOVmqbjQCATXTNR4YiG5oO+81ci7bX7wD39L0e8SNia47vV3E7emNr2fEB8HJFALJbP1CINjrl+QFpZAAc6R4PWfDk7Wl821tnsB8nzYjrFhM/PKfqH5/nyP+bQgDiStOGTfRI3D034sn+5ldHPNt08ucGCyPmDB7qhH3LZ7ku+e7bCYaZSUBFIOkoijhkAXg9H7fCoOyLOM+/7P/2FxcZEdO3bwEz/xExs2xTjdWyqkVCzM9T5vjKsT2zE2VBiNEYJSTqycl88lOWeSnKzw83uLozCWrra+h5jSePASHuPZx/6JE996AIDZm2/j2jvuhLJ7cRTGWTqF5Zl2QjMKmIwVxsJDp9vsb9U829JYYKwl/FzGhq7ct771rQ3t7NnUMbtcuFxtr6Ofu1p1s9omLYNOO9fMpwV7mzETkVnGdqhYTAKBEwKBQ0m/r07u+cnFpc4gAv250zz1+U/hjKF1zUF2Pe/2VbezwGJmSArfUqVKgdeZWlR+vwAHTMchDla1id/otduuE5ZLOc5vueUWHnzwQRYXF/k//+f/8FM/9VPcf//9qyYT77zzzmVsxbvuuovnP//5fOQjH+E//af/tOr+P/jBDy6bgLTbba699tpNH+dW4kJiRb/wbQzD7Yq59uwCgWcQVbp9zyz2OZcVKECVjszGeRfjmTiksJbp2OvKLGQF2vp2iLpSgxZHC7Szgu+f69IMFbGUuMAnHRNtfBygNEzBL6yrSUpldFIlFGFtTRXJUqtgZv3YrZIRw9unFs4+9h1OPfQNwJstta45SIQvbqyVrAwUhEIsO5ZurmkEkjiQCG0x1u8jAMJQUlOSY+0EcNTDAOccoZJMhApjHSd7KSCIlBhci36hB47X43aM9TGeN6yOteLCKKN1eLtRxnIVI6rn+EzsdTurecFEqNhRj7DW8u1TCyjh40OGL0w0Q0UcKM70Utq5xjlHHHr3+DS3hIGXKrDOFxMM3i3Wlj/HwssZ4ODpxWTZuLuccM7hrCGamOS617+DqDlxQfupYpPEa9MJIQiFoB4qCCQ76hGpNvS1YSoOOTBZH8wxLqaIuV2wHWPDRuaV1ZjvZAWptjRCyUwtop0V5NowEQXMJTmnelnpwOqFOw+06hhraWeFjwlCEAeeSV8luM+XqLtYRALuv++jnDl9mmazyU/+5E/SaKxffBuGGPl3jO2J7RgbKozGiF3lXCAzlpO9jPkkQwlBpCRGW9qZXsE8VFwiYxXg9MPf5NR3/tEf2/NfxJ7bX4YRYkWuIBbQjPyR9DNNrq2XLJuoc7qMXYnu0QwDGqtIs4zlxZ5b2NAV+uxnP3upj+M5g8vV9jr6uatVN4cXEQenGnSygvm0IDWWU/M9uqVAQj1UHOskLGQFoRRMqoBE+WVAUmqkPRtIF85x5P5PYHVBc/c1HHzVmxByfSPxtBRyj4SgESl2NCKiQNHNvXPtROhbICfKFs9RFse4ZXltXMpxHkXRQNfkJS95CV//+tf53d/9XT7ykY+c971hGHLHHXfwxBNPrLlNHMfE8ZXFBruQ+22YaTQwUwk0J3uecXRwqsG+iRonuilnSp2uUyJjZyOmHqiBhuINOyaWOTjm1jHXzwZj+4d2T7FvosYjZ9qc7KYY/KI4UnKJyWcsRjgCB7Y0WJASwqEiQ+lBMEBNCZIR15RKW3HYbEUImImXMwjB666c+NZXANjzQy9l5823+QSmZN3WaW2gcMurov3S7TJUkh2NkFQb2rlG4gsOqfau9A7QtsA4Rz3wsXM+yemWjK6p0um6uj7VtYhHTJ3GWI7xvGF1rBUXRhmtw9tVY3lYL2lHPSK33hWx0gGtZBAqM6ZHzrQ5Vd6vU3HI3mZMM1S0swKbFgMnTCUl1jky49uTityPi0pu2OHHfDW+MgeBdfT05bZUWY64NcV1r38HKooJ6xtPYlSo9Fer75njC7KTZaJ2Ol7SdAJWLHbGc4yNYRwbVkd1/2hriQNvqBIHiqcX+wC0CsPpfkY71Wj8/aqEGCQXYyVJC8NiViAEg1b7qlMJlhJ1W71Y/+xnP8uTTz5JFEXce++9zMxsTk5gVzMuzSLG42Y7YzvEhlH5orXGYSMMODTtOwiPthOM83PsfRNe3zwplsuMwKVjI55++FuDJOLu217K7hfcMUjmupIc4NuZFZO1EIcjLSy1SNIKvSzD7qbXKX9srktmDaEUHJ5urPje4+focwvjK7RJXK6217U01IYHWSQF2lrOJd59WQD1QHqDBAkTkWJPM+ZoO+FEN8NYiwsk9SjEOkgKPRBvFfib41JJqGedNk9+7j5MnlGf3c2hH34LUq19TmtlfrFyk42Vb7N6ZrFPpBR7JrzrU9XSVTlADQfr7dqyfCXCWrtM03A9GGP4zne+w9vf/vZLfFRbi7Xut9XGb8V0S41lomQaVcyWSApqSlIvK3dz/YzT3ZTpOKQIHXubMYVzzCe5T9DVomWfORUH7G36Ft52VtAIA451+pzsJMwl+cBQoWctvcJyDp9s8/qAgGBgwFK5I6+GCAilIDXLtVIkK6ujhWNFEnHxmR9w7OufB2DnLbez69Y7gNJI5Tx0JyUhloKw3D6SYB30CkvNWpx19HJDAdRCgZKCeqCYjB3WOOqhYiJUaBydrPAt2EJQCxRKCjol0yPThplaSKTkurF4FOMK6xjDmqbV82m9bauk4KgGWbNkG1avn+7CfJbTLzSm1D1czDRJYQikYEc9pKYUrShgIgq80ZBxNEJFoj3LUAnnCwX4sVo992Wpm2ysWzHur5QkYn/uNCbPaO3zDPQL1UOEUldq6GspKDUh/Yu9wpBbSxwo9k3U1ozfl3qOMY4nz12s9fyvYkMzVORGMFVq+B7vpuTGUFOKfqGZigL6udcxR3jG7GJaYB0E0s8T5rMCZx0LacFkHNIIg2WJun6hObLQJ7db11Z41113cfToUV7zmtewb9++Tb9/u3YCjbH9cKaXcbST0ooUk3G4TIZkOBZ0ck0312TGMF0LqRtJoCSZtUghUMp3DOg15sfnc13eDCb27ufMow+y+wUvZtfzXjh4PcSvySsWfzc3ZMazp+tBwGw94vC0L+pVcW9/q8bJXsZ0LVxXD3V4HTSODVcuxldmk7gSHnZrZetz60i19W5O1hFIPxmZjEMOtBqDwXnqbEqmLVJ4zbDT2id0jJdEJBbQCNWAwbjVcM7x9Bf/Dp0m1KZ2cPg1b0WF6+uopJayhRMCSuMVCYsZWGOoKTkQoR+epI3qR17ua7cd8cEPfpC3ve1tHDx4kE6nw5/92Z/xuc99jk996lMAvPe972X//v18+MMfBuA//sf/yCtf+UpuvPFGFhYW+M//+T/z1FNP8W/+zb+5nF9j01jrfltt/A4z3Q5ONQaaRxUC5XWSGmHAkYU+81nB7kbMrbsmAXjkTJt2romU5GAcrrjvD00HRIHyYui55lxSoI0lt6u3JFZupcItN1uBtScmcSgHBQxYcnjeSBQxec7Rr30enGPm+uex90WvWNa6cr6ChnE+/sWhJFKSRqA43s2wQN+AdmZQqS2MN2sCuHWnP3+Vy2pWykH44otPOBrrmE99THXAjnq0jO25kcrpuMI6RnUPDN8/623bG2EmDxcmGqEvKBxZ7NHODUoIRClqmmnDuTLxlxtLIwgGVf8T3dS/FioOTzd49GwHYy2qdGp2wEQISeHHrZcicFu2GNlq9E6f4MjnP4lzluvf8E4as7svan/50Bet5BhyB8c6CamxZNoyEa1MFI7G79EE0VYvhMbx5LmLtZ7/VWyIA0WvMLRixdkk55nFPkIIisCRG0us5GA8BgKsdRTOsbMRcniqST1UxMpLE0RKkuSarx07x/5WbaDze2TB6y+udi9fKJrNJj/90z99VbacjjHGViIzpT9BqcU9HYeDpFlFhhH4AmE79e3LBycbPG9ni8VMM9fP0M4hhCcZ2LJIPoqtTCQ2Zndz89vfvYzpX5Ne+qdbLK0iNL5DqOkYtC2P6jafj3087OUwfs5d+RhfmecIqolGpv1AHK56D1fDZ2rhgHlUteNMRAHdXHM0K0i0ITd+kREov0jOyhgQ4RfshYP5S5REBK9tsf/lr+H4N77EoR/+ZwTx+ouqCgYIBUTK60KFUjAT+58noiUzGeCCRaXHlf6tx+nTp3nve9/LiRMnmJqa4vbbb+dTn/oUb37zmwF4+umnB62jAPPz8/zsz/4sJ0+eZGZmhpe85CV8+ctfXtOc5bmG1ZiKFWvQrfL66M+ruQPvacYU1lJf5+FcvT4dB8TKtzK2c/+AV1LSL8wgcajwGif1UOEczCf5oJ05kr6tt5175rMEJkLJgVYd7Rxn+hkSQaAkzvmkXafQ5GWcCfAtk9Z5prSwYKKI57/+bZz+/mPsecmrEUKUjGpRuipLurkZJCWHq6A16dtCd9UjOoWmHiiaoaKwlk5a0IgC6oHiXJJhnNeTmizj5PC5iqSgEaqBi3MVB6oEYisKVriwbpTlPGZDj7HRe6BfeI00be3ASRyWJteVDt/pbsqpboZ10Crjh5QSa+3g3p1LcuazgmYv49B0JYlSw1rrGUnGeqMVKSnQhBImo4jpWHCsm62QLriS0DlxlKe+6PWVm7uvIZ68cCbiahgusOTG0c00SgoKaznTy5iIzCAerBW/L1XCbxxPnrsYvXarsY9zbehkBad6GQ5BJAWRlBTGkwUEEEuohQEne166ZKYWDhhMlbRBv9B89egcncKinWX/ZIN+oWlnBQifwLiYpPfDDz9MlmW8+MUvBpbr1o3n0mOMsToiJWmGAQJHbu0gwTafFkgBkyUbuTCWPHAE0uugzyc5Z5OchVSTFJ4MZK03Hh3VKRZcnG6xs5YT3/oK04dvGhToRuVCtHUUdnWjlcwYOrlGW99+XX2vzRiSjZ9zzw2Mr85zBMMTjG4pll4ly0ar4dq6gb7XrmbMmV7Gk4t9tLXI0jwgrIcI/OS4gmGl5tmlQmN2Nze8+Uc3Xb1MDUSBQAnPd5qMg2WOq7B88l79vtHJzLjSv/X4wz/8w3X//rnPfW7Z77/zO7/D7/zO71zCI7p4XMwkefghOryfQ9PNFduNaqk8tdDjXJKTaLOstTaSgt3NGpEUnO5lCLJli4mj7YROyViskoidXNMIFNNxyM5GhLaOY52U+SRHCpDCJwMjIejkZeYPUEqQakMzlOyqRzSigIW04AeLPfLSvTmEQUt0+SPNQFAY55nQJRPSGV9VlUC0Yw8Hd+wZ6CFaPNsiDlQpNK/KCq7DOZ+ArAcSJT3LOQ4kSoZkxlJYx/NmW3RzTSfX9ArNbLPGvqFky9l+zuleRmEth6YazE40lmnU7S//net7kfpWFAxE64fP70au/5gNvf2wGjt+9B5YLY6c6WUc76ZESg60z/Y044EjczUHUFLQir3BUiNUA2fWx+e6LOYFhfEtud204KhjkAwH7/54NikQOEIpyLRGCIF1jjO9fMU8IBSe9VsVDi63sUr72BGe/tLf46ylte9aDr7qzchga8bXsKarxLO+hAQpBbGS9HPDk3mfmTgkKLUp903UOLSKgcVUHJBpQ64N/UJvWQwYx5PnLkYLAsNyPNU1dWQ8vdgnK9nDkVK08xzhPANJCF9cK0qN1DiQWOv4wUIX42AxK7hxx4RfIwhBIKCulGckl3IGM3E4MHOAzc19+4Xmu49/n0/89V9jjGFycnKggX0h+7tQjJOVYzwXsbvUPo2k4Gg7YT7NsS4kN75lOQ681j8CdjUijHW0s4Lj7T7dwi75GDg/La+e18PP5otZxztreeaBf2Dx6R+w8PT3ueUd/3LVrsFRyaIIqIWS1HjDRm0duXWEQnhJsk3qil8sMWiMZwdXzFX5rd/6LT74wQ/yC7/wC/zX//pfL/fhXHGoJh9z/czr9JilKsZoNTySgm6uMc7x+FyXwrlS70zg8BpqDjjVTZFSEDm/MIeNtSFeCKzWPPOVf2D3C+6gvmMXcOGuW8I6IiWRwldpaqVeWYXhKsaZXsbJXsbeZrzqRH8U4wrIGBvBVk2Sz7ef0aT4yV7GXD/DAIFMkVIO2nIdfgFcGa5E5UN7MdMc76b0S820SEn6uaawsCg0cenQ6oDT/dxPRBykmaanDThHOpw5KBOKqbVom1HPNZ1UL2utKMp9VHAMaaqV/6TtBZ7+0qe59pWvpz6zcyk5MfRZ2kJasqOTVVjSua5MonJkGd8SbagHin7hK6KLWUFWWJQSWOtoRgG9XLOQFWTaiz4GMh20fY3iVC/jdN8Xambq0cC8IhqbrYyxDjYSI55pJ5zopuybqHHLbAvwwyOUvkX/VDelry2FtUzFIadKXaFKD1gIMXBgrlqIFjNNO9f0ckMtkBigm2lOyYx+OXfIjEE4C0KQaEtuIJBuwBoehXZLw/lyJxEXnv4+z3zlH8A5Jg9cx7V3vgGp1Jbtv5JnCIDZRuRNp6xlRy1kphby/YU+2vhE7kSoyNZJEjbCgDjw90GUbV0icYznPqq56Uw5nqs551w/40TXt9JrC6k2pNqSGABHagyNQKKt9prhAtCWTOcDp/Xj3ZRaoDgwWee66eZAbuRUL0U4mKmFg0JYhfU0nc/0smWs/BMnTvLJj/5fjDHceuutXH/99Su+31bOpddKGI4L/2M8FzFcCOrmmtRY0rIAPhH59ewjZzuc7GaEEqJAYozDDBkdwpIE0fDvFwtrDM98+TO0jx1BSMn+l776vNJjFUIlmIhCQmPY04hp5xocTNfDZfqsY3LP1YUNXZWPfexjG97hPffcs+mD+PrXv85HPvIRbr/99k2/d7uh0jGKlaQV+4rGYqaXTQoaYUA9VKWWWk5W+IWIAFLjyEyfUEq6hU8eBPjKwqViIlpjeOqLf0f35FGS+bPcfPe7NzXxr7TWqiDZKywizdHWEUrJ/lZtWcViOEi70qluo99tO1f6L/U4v5qwVZPkSPrW3eEWRlhiwcny5/kkJ1KS3FimaxHalUyFcjGbGkthLPNpQaL9w/sp54ikIMk12hrqpbZSWvix4vAJgqKw9IuMiVDSCCS9snVKADg3qHRWicpI+gSfBhLjSMxoXXJ9CCDrdTjy2fsokh4nvvUA17/hHRd0/qooYq0/T9X3yrShMJbpWujPoc2IlC86zCUZzsJkFKBiQWoM9VAtSwb0C80z7YRMGyIpB0YrnaxguhauKF6cb3K0HZkT2zmerNauuBoyXSb29FKSvGIr5NrwVO71keqBGjipn0sydtYjpppxyY5lMA+IpGAqDugWBbYsuMWBJBCylBPwsibagVIS4QTWleZsIw/JYX2lK6W9uXf6xCCJOH3oRg684nWIIVmMi0GwRLoeyCYI4WiGim7uGdqVBEfFAqmKuqNMi+HxPi5OrsR2jg0VqjEVlfreFU71MpLCUVOSDId1jnDoFrdAYZdSBkHJJM6toyi1xI11JNrQCAMOTweDZKAo79uoZDwNGxmsp+lcdTz1C0Ov0+ZzH/0rdJ5z4NqDvOtd71omTVNhK+fSayUTxmPr6sN2iQ3VHL+mJK0owJYyQJXcgMDhrPNty8ZhrMUMuSPD1j+XrdY89aVP0z3xDEIqDr76zUxec3Dd9wyzILXz3EghBOeyHFGWMCaiYNDts1ndw/EYv/KxoSvzoz/6oxvamRACYzbHaet2u9x777389//+3/n1X//1Tb13O2JUcP2phd6Acber6R+4Sa451U+JlWJXPebpvE9fLwmmaw0FdjD4L5UzM5QU6a/8A92TRxEq4Nq7Ns8eGG2z0sBCZkqdGEuiDUW5AhgNTNWibByEzo9LOc6vNmzVJLkqDAy35sMSC04AvVwvtdkpr0U4U484l+Tk1hEFim5h6BeGdq7JS+f1wnmNpW6uyQ00Q0FmLJnx42kZyRDoFpbpWkAUSJLCkBm/MHH45GHVxnegVedMP2Mu3VwCsYJL+zxZJhHjyWkO3vXGFdtU7YVr3WUKX/3E+SqtcZCMsCaN0+yoRzSjgPmsQEpJaqw3kXKOXc0mt+6aHExsFocYQ4uZHhhTTMchSkoWc01uHQenGivMMjbDLN0uicTtHE9WM0tZDftbdQIpl+mdDrc+Vsn7qgXRj2fDsU7CrmbNC7KnBcc6Cdo6puKQA5N1jHMsZjmNQBGVScj5NKdbGHbWI1qlM2y/MF7CAIcKoOGg0Je2sHgxaOzcw9SB61BRxDUv/eEtNXaIJISBwllHUlgMkGvHnubSnGsqDgb6q7mxqJLhvZr5SjXeh92dx/DYzrGhwnB7Y5XQSwrDuSTHOjvQHJ5P/YJcCkO/8PN2bb3mmBBe1kOXzq0O/8yMBeysL7GITvd80mKmFtIqdco2+kwa7ngKTcGn7/t/9Htddu3axU+8518SbJGkwHpYK5mwnQv/Vyu2S2yo5viNQNGMAlplsq26xw9PNQmEHDxjnln0LuuBZE2TxIuBKQqe+sKn6J0+jlCKwz/8z5jYe+C875MCYgW5hszCXD9HKS8/Zp1Dle3b9dCv+3Ptpdk2uiYfj/ErHxu6OtZu9S27hPe///3cfffdvOlNbzpvIjHLMrIsG/zebrcv2XFdqRjVDHCAtpaF1KcDu4XhbD+jnWtiZdjXqrN3oka20MeU1UglltOjLxWccxz7+udpH30SISWHfvgtNHfu3fR+qlrn8F2ohNdt2tGI2FmPBvpQoxgHoY3jUo7zMVbHWhPkKrFQU5JzJfs2UpJAioFe2uj7puMAJQWJ9pnCeqjY01yamOysR/S1X6iEUpJoQ6YNZXcwOxsRsw0ve5Dkmk5uCKSvMjbDgEhJjHPsacbUlKSbdwYMCIEvSFRhReDHKI6BEHQoQOicRz//CfJum7DZ4obX3U2tVvdxSZYJRAGTcYR1jl5R+CqsFGRla0coYUctIgqk/1zrSLWhKDVgPYNDMhEHg/NYGdE0Q4WUAoEb/G0t85t9EzUybZite/3IygVztThzvqrpdqyqbud4Mnq9K/bBVBwMnlWN0C8cZhvxQC+t2r5qJdxddhpU75+MArS1tDNNJ++xsxFhnGMh9VImCNhta9QCxUIm6Raa0DpybUiNN1M608uYqFUGRDlpWXjQhdc2nawFF1wkuFRwpUOlkJJr73wDCLHl7rB9AxhDyFIidS7TZMbgEGTGcD3gcN6UynoGya7WymTxaoYa242RvB62c2yoMOxMeqqbcroLfe3vE0ojtOlaSG4daaEHhgW2NEQL8MW0rHAULBXfBBAFPlE4U1Q66gXGOeIR9iOc/5nUCAMOTQcYY/gf/+N/sXBujlarxb333ku9Xt/09x7Vfd7IuBjP47cPno3YcDmk1EafAcPzz2pOkBSGIwt9puKAwrrBPB+Acuxn7tIU+c488k16p48jg5DDr3krzd37NvQ+7UAN5XNzB4FxaBzW+Xl9t4pr+BzFaIF1/Hx8buOyXrG/+Iu/4Jvf/CZf//rXN7T9hz/8YT70oQ9d4qO6/Bg2UKhcAdfSBdndjL3ukfVtyjvqEXUlOdZNCZXAWstEFHBoukGvFGi31nGs6xOyqwmnr5a42yycc5z41leYf/J7IATX3vVGWhuobqwGC+xuhKSFoV1Yz8wCaqGiprzI/OjkaIwxnk2s9yBc72+jE+ThbQ9PNzjTy9jZiNldTjpOlwxD8JW9o1mBwyccJ6KAnfWITq5JjaEVBSwOsZX6hWY6Djk41aCdFrTzgnqoMDis8axIbz7i2yiun26yt1Xja8fmOdJOqQm4fqbJo3MdzvWLAZM5FN6ARRhHNiSDqIRvaegXXo/R5AWPfe7j9M/NEdTq3Py6txM1msgygWgsZPjx3u/7+NYKJVN17zrvnPMFBCnp5AUtQkLlmye0sQRSsLdZYz4r6Bea+STndC+lFYVcM1FjPstp55odcUhqlqJbUhjfOl62l1ftotdO1jc8qTnfQme8ELr6sJlxXbEPurmmGS1JkFRYTQsVlsTJT/UyTvRSAiEIpCS3Fil8m3KmLcY5AilohAG5NtSURAnIjKOdZoPCoWcOWExSkCgzSCJWKOCKSiI65zj90DfIe10OvOK1g2TipcRoh0aqHRaHNpbvL/RJcoNSAm0tuXUsZnpgzFRh9PpvR0byGKtjdH4flYyjs0lWmqt4KQIhoZ0V6LLYV41UiR/HE2FIJy9wAqTzrzdCwWw9RkpBOyt48OSiN2JxvmVyVzNeFrfON28e3rYeKG688UbOnDnDT/7kTzI1NbXh7zocI0dj3XhcjPFs4nJJqVX3fa4NUeDHxK27JukXmtO9jDPasJAWnE1zTvUcuaEsjnujL1t2LV0qDtDuF7yErLPIrue/aODSvBFIfDJxUMgojdkkEEpBPVLsrMcrCvXDsWH8fHxu44KuWK/X4/777+fpp58mz/Nlf/vABz6woX0888wz/MIv/AKf/vSnqdU2lgT64Ac/yC/90i8Nfm+321x77bUbP/DnCKpBNaxRtJouSKWLVA3EsNTx0s4xGQU4AWf7Oamx1JREW8t8aujrpUX0asnCragHzf/gMea+9xAAB17+WqYOXHdx++sXSAk15TXhtHMEeM24UX25MbYGWzHOtwvWexBu5iG5XkIBGBh9tEojkaTUVqsHavDaYlagjaUbmbKlUQ/GdKItmXXM9TNSizdTqaCt11fCTwie6STUo4BzZSUxdf61XmGXxYisElscQWYhG3KFP/HQP9KfO42KYq573d3I1hTaf+ya6BSW1OQUQ6IwxZDBSih9ArJiEBU2KUWrh44j8WyMXu4dLHu5HsTV2UY8NlN5lvBciyfnq5JvZlwPsw+0dSsMOobdfSei5eZp1fu7ucY6z1LYFUREpdSAkNCMFDviEIPjaDdFQenaDFKB1J7NBP5fbb2maijBmvWf+ZWG8rMN5xwnH/wqZx/7JwCmD91Aa9+zO9+LpTepC5RgphaSaktuLXUp2VGLaOf6vIwu2J6M5M3guRYbLgaLmeZUKZsRKcmeiRp7mjELaY4Vkpl6SCsMONlPsRaUUoTWULilcSqlZCH1xbyagsko9ExZBIV17G/GPJX3OZcWRNLrqRvnBkznyqhxM/ORRhjwmte8hpe85CU0m80Nf9fRGDk8FpLCrKoRDWOW0hgeWxkbLqWU2vnu1+q+z7ThVC9lPvGSJqd6GfNZTiCklx4wwWBubymTNKVW4lbDFDkyCBFCIIOAQ69+y6b3UcUkA0xGkppSLGYFzVDRiv0zs6bkMg8HWK6VOH4+Prex6av2rW99i7e//e30+316vR47duzg7NmzNBoNdu/eveGB/Y1vfIPTp0/z4he/ePCaMYbPf/7z/P7v/z5ZlqFGtPTiOCaO49FdXXUYThRWjMRhDLdEDCccFzM9CEAS3w6opHdkVVJQCyRn+pdSEXEJ04duZPHok0xec5CZ626+6P0VABYkjolmgBRe36mwlk6uB0KuY2wNtmqcX+0YZhfsqEdYa3nkTJs9zXhwT672kByddIzuZyoOmE9yEm3QzjJXaqlk2muaGeeYqYVEuWAhLwb7b4YKYx1zOkcbQyR9DBVUTGPnEwhKkFpHgJ8AOLyuUhxIz1hyPhHxnVMLg2OWlMmJCzxXu297KXm3w65bX0RteseG31es8YEWBnINA/1XYwemEbL8rxFJlBA0Q19ccQ4yo0kKxSNn2n6bUkd1qmyHzo2lkxVk2gycKkev1XiBs3E8V+LJZqrkm5n8Vi3MAE8t9DhVsl4PTS9Nrit3XwcD7bSqHWi24eUMRu+7uX7G6Z6gFQUIIZjv515HSUgKaz2DVwladZ/ATLSlFkqMsWTG0QgkzpmBK3vVoTCcPGxE0jOaVykWXCo45zj+jS9x7olHANh3x52XNIkYsMSinq1H9Avt9ehKiYgbphtMRN5JM5CCSCks0IyCVY0mRjFmJK+N50ps2Cr4fkkGDQAAnypJREFUZ7scyJVUsaYRBgTS4hw81e6zmBlqyj+TTcnyAc/4yQs7YM4Gwju8C+HNULq5YTHT7GzEJMYSSUlh/cK9HQYcaNXWdRsfNQr6/mPfZf/zbhn8faNJxOq7Dv8LyzVgT/UycmNXaETDmMU7xtbHhksppXa++3X4vl/MCk71Uo53EpSUTMaetTcReQkhJQXGWXLjZTTyS/DoLZIeT372PiYPHGbv7S/fkn12cksYS66drDMRBpzsZRhnyYxdZuwEK/0exmP8uYtN94j84i/+Iu985zuZn5+nXq/zwAMP8NRTT/GSl7yE3/7t397wft74xjfyne98hwcffHDw30tf+lLuvfdeHnzwwRVJxO2ERuhbDpbpI5SotJT6hX/QV0kHY+0guXDNRI2pWghC0Nd64GAqBx5Klx4yCDj8mrcye9MLtnS/FsiMYc9EjZ2NiEDKZ+07bSds1Ti/2jFoV7COfRPePfx0qWdWoRrPq7W6VYmC0f00Qr+46OeapLCcTXLOJp5d3NfeWKUVh8SBojDeoVFKyaHpJoEUWCApHN3SsGEp0QZ9bSiMWyFrIAS04pBGHBCHksRYukPJg0YoBwmHjcI5/34B1MKQG1/7FqZ2brxtYnBs+Dbn4QeWwy+uhiu1mV1qswCv9zYZheiSyVUPvDtzbuFcWnC61JOtEgLe5bJJKw6ZT71Zzaletuq1WsyunBbQKx3PlXgyfG2Hn6/Dz90Kq43r1TD63tR4g7Dh9npg8HkCONVL+f58j1PddHCfjX5etRDPrKVfGDLjCwDC+bEs8eOjmzvm04JUG5yzpd6ao7COdmZWjOlKp1Ti9U+TwpI+m0lEazn61fsHScT9L3sNO2/5oUv6mRpfUJECGqFCSUmBP39TccCukjlSGMdULeDgVJ09zXhwf2wUq91H2x3PldhwoRi95v4Z02D/ZJ3D0w0AOlnhtYGjgNxYdBkbpBBI5PJi2tBQbCh/z2bW0gwDbpxpMtsICaRgth5x685Jbt3ZYjoOqAWKVqTY1YyJAkWvMKs+w4Zj4PcefojP/O3H+Ms/+58UxeZJCOvFyMVMk9v1dYc3O77GuLqwlbGhklL78Ic/vKHtP/zhDzM1NTX473zdjxu9XxthwHQcem1vYymsZbYec2i6SW4dvcIXr3fUYyIpBsXyrUTe6/CDz/wNWXuBhScfR2fpRe2vmm87oJ1raoHibJLTLww1pYiUXDFn3uj8aYwrH5u+gg8++CAf+chHkFKilCLLMq6//nr+v//v/+Onfuqn+LEf+7EN7afVanHbbbcte63ZbDI7O7vi9e2K1Socq7kBHlnocS4tcKUpwg0zTeqh4kwv48mFPpkxxNYHrMoFUrLSufVisfDUE2TtBXbf9hKvZXQRYujDTCnwjooS38K5p+Fb4Wfr0cCBboytxVaN86sdoxX3qoVx2IV1I+9brXK/pxmTaO/CPFuPaIaKOPDsuonIswUiKQZGItV797dqZMYSSkEjUJzuZygpCaUgkP69hbEs5AWRVFjrk5P7mjUmayG58RXEXq7pFpq0sDQixe5GzNl+xnzpmB6Wpk0WlskwgE9A4BzHv/Vlwlqdm+94GXGosA4CIVjMcpLCIaXXUdElI8EOtSnXlWcPaguTJVPwRD9DW0uAoHCWUEpwsJgb6gE0goBASlLr2Zi7Gv68VYkhXWpSJcawI46wLBe7Hr4+VXvpMCNxrWs1xvq4VPFkq0XT16qSD7fhwMYMAoa3HX6O15SkHihqankdt/q8yljFu68vSXf0Cz1oTQyl4KnFPn1tMcYghMQ6680YAPCtUK7UViscaOOIhGc3WLf60qSaDwwThMyzl0PEWcszX/kHFp/5AQjBgVe8jpnDN13SzwzLfzX+e88lGVJIb2YR+HnGsDj+MNt8sxizrFbiap9rjMqVLGaaJNec7GXUA4mUgsWswDqIlCAtHEGg2BF4ZvK5dHkCT5WurQCFKaUKtNcInimNwU72MmLlC4vAYD1QDeXhODfKsK/+du7oU3zsYx8D4PDhw4RhyEaxEda+/5zamtuMWUpjbFVs2EoptX6hmdzk9xgdD7uaMZ1cczbJqAUBYencXnUkzfUzzvQyMuO23J056yzy5Gfvo+h3CZstrn/9OwjiC/cYUIwQEvDJRCkEk/FSPmLYYGmMqwubvqphGA5aOXbv3s3TTz/N85//fKampnjmmWe2/ACvFlxIO9xU7IXTh1sQqoForeWfTi0QB4ok1ySFwTpHbi3fn4cbZppEgSJQApNBN9PLEocCn6jbKrSPP80zD3wWnKM2tYOpg9df1P4qp1eAViTZ1YipB76ykRvL04t99jbjwURpjK3FeJxvDKOT3eEWxmEMty53cj3QRyIOVuynSiTsaca8ZN+OgRizto6bdkws+7ykMIRSMluPAHhsrkOmDbfubDHbiJkrGXepNhyabDJVCzmy2KebabSxWOkTZVIIzqU5xjlCJTnW7pMY2F0P2duscaafcbKbkmlLKCqdNR9PQiAOJVlJmwgUpAZOfecfOf29hwGo7z1IfcdOImD/ZI1WFNItcgLg4GRjUL1s1QKEFCS5LiUZvEtqv9A81dYEQjIVh9QCSSQl57KcuvIsi7l+Tq/QtKKQQ63G4Dw7oBkqZsqEwETkzSsiJTmXFXRyTTNUtLOCmpLsKp1yD00Hy5I3w9cqKQyPz3Wph4rZerSqKdYYS7gU8eRSiKavtXgdXnhvNhk0mniuGEFrSR3k1hEFni8cKUleGiUdWeh7zWOtKYwbMHIDAaHyP6eF9eYLxiERFLhB8sABcajI8q188m8tkvmztI8d8e7Md73xorWVN4Ja6GNJO9do5xmjwlnvjGvBWjdoy7p1l19CXqi8wbgIsRJX+1xj+JqfLhnunSynW/iugMnYO7HnxpKW0huFhUD6MT3sYquAKJCkZSbR4OVGpJSc6ed0cu0lOcpnZ/Usa4QBUbDENKxICFVcyY0FaoNtF86c5qP/969wznH77bfzpje9aVPfebUYOTpmxonCMc6HrYoNWyml1s40e1f5jPPppFe6iIenGzTCgNlGzLkkZyHNSbUBB8a50pndkVyCCl66OM+Tn70PnfaJWlNc//q7CRsTF7SvmvR5BO2WFxtDJVD4ucZw0W081q9ebPrK3nHHHXz961/npptu4rWvfS2/8iu/wtmzZ/mTP/mTi2YSfu5zn7uo91/JuJBK9OjDf/jB+9DpNvNpQSgFCAaujThHvzAcK7UXQilxsKJ9aSsba7qnjvP0lz4NzjF16EYmr734yX+lb1YPJbvqMTvrEYuZZjHLKIxFW8dCWrBrFY2XMS4el3Kcb0cMGyhVOqb1QA1cWYcxbP4x24jLScjqBiCjRiEnShH3QMqBkcjZpMDijVJSY307pKkSDIZ+bnDCTwj6hSFQkn6ZaziVFPS08Xphwwc5NHEogGKo96owcObRb3PqkW8BcM1LXk19x04Acjy7Ky+TkIldbuCS6BxZMh1XwILA0i8y4tBLGqTGoigIlaRb+KRhnhZo58iM9czJkgEWDTngnu57jbpeYTDWEQdeZ2p4u+q6jTroVuf9VN8nI7VdStaMY9Hq2Op4cilF01fDaovejSaDRt87/Hu1uM61oVsaIFRMHWvtoPhQtQEK4bUKKx3DaiIvrUWWeqjaeRdXpVayBXJtlrGHR5nElxuN2d1ce+cbkUrRuubgs/KZmbHefKY8EelQnjW18HQ7IVSSVqS4sSzkVAvD013P9nKwrAgBqycbx8mTlbja5xrD1zw3CYk2hEoRao2SgkgJtPOyHFW3UGVCZgu9bIAKoJvbZb9b553ba8oxnxT0C4OSgszYwboBVk9ir9ZefO7cOf7sz/6Moii4/vrrueeeezbdXbTWZ51vDTTWHx5jGFsVGyoptWH8zM/8DM973vP4d//u321KSm1yjef+ekWiShc1HxqTkRTkxpJoR6b1gNwjKE2+2FqyTzI/x5Ofuw+TpcRTM1z3+rsJa40L3l9qIRqZqweUGq7W0c8KtLXUw7Fp4dWOTV/d3/zN36TT6QDwG7/xG7z3ve/l53/+57npppv4oz/6oy0/wKsFm6lEj4odj75vMdNeTyVWhEqSFQ5CiKWkbwzWWeJAIfAOUUHZzhSL0mF1C9GfO81TX/gUzhha+w9x7Sted1EtzRWqdslISlJjOdvPB0YJkVIE0uEEyyZKY2wdxuN8azFsoNQI1YCRuFo8GG2PrgxABCvjx/C29VCxb6JGps2y188lvuJ5bavOVC0k0YZupsmN11Vsla3OhbVMxSGhkhwdYiRO1ULO9DOMdWTaJ+sqRqJmJSPx3JPf5eSDXwVg3+0vZ/amWwfHG+ElGXJjOdHLiSVc26ovMRKj5YxE/znOL7CkF5ZvrcJIDJVkrp+TaM9I3DdRo5P7hVqoJLWhc12dm1rJSDTW0QzViu2qcz/qoFvtozB2BSNxjNWx1fHkUoqmnw9bmQyqFtfNUA0MECglCx5b6JNpR2EtO+uR1z5EEEjfslwPfRK7MA6kpBH6PxSFIwcwjroCM+TKnI0UFANK06It+TYXBlPkmCwlmvBsv6ktKERuFLHAsz61XaEZC34x53CkxpAlBjnfQwpBrXxPqg3zmW89Xa0IMW5jPj+2y1yjX2g6eYF1jt2NmENTDQTeFPF7c11CUSYRAkluLcb4+W4gITB+jA4TACIJsZIkhSW30MkLJiPffjwRKSaigNNlu+RsI16nGLLUXtzr9fjTP/1Ter0ee/fu5cd//McvSK9+vcLLes/J8ZgZYxhbFRu2UkptrftyOO6D7xY61kmIA8W1k15T92g74ehin8fnOigpBx0zleRYJHwirhYodGG2VFYkXTyHyVJqM7Nc97q7L6qducJwEjEGZCCxztHNClJtyaOAXeus0ceFg6sDm75yL33pSwc/7969m09+8pNbekBXKi72ht/M4mNUB7F6LSmMb3uSgl2NeKBllpuCVhD4n7VPIp7opPQKTWZ9hTMSsLMZMZ/m9LeIjpgunOPI/Z/A6oLmnv0cvOuNiA04GG4UBugVGuMczZIiHUlBN9ekxq5Y9I+xdbhaxvmF6Jlc6OesFx+GHdty62hFAZ3ct83uai6fnIy2R3tx9oBj7T4PnlxgMg5pBIqTvZTJOOT6mSZJYXjiXJc4UOxv1enmmqcW+7TLokMtUBzvZRzvphjrJRCEFNRLJ+iZesS+iRpnk5xnFvvkBhoBtAfaTYquKXyrFZ7xVEEDOwLFRBhw9InHOPLVLwCw5/kvZP8LXkSgBIV1aOsnSU+1UyxeKH4qDjnaTRAIlITT/RxVVWNLfTcpYCIOmCmNKDJjEUIgpeCaiTqnuilH2ynXtGJetn9mwOKSZaxYSHOs80zQiSigFfl9TcUB1++YWNZ2XrlHDr9WtaFupIV9jNWxlfGkEk3/+te/vqHtP/zhD/OhD33ogj5rKya6azm0jxYKFzPNqW5KvzAU1jKfaIryfgylpKs1nUz753koUVJinCUOfeLg0GSDM72MpEgHjq5Rqf3Z15pCW5KRTJnl8jISdZZy5P5PoNM+17/xHqJm61n77AAfW1OtMQ5asSLNzaDYGgjYWY+YjANSY8iNYz7JSYxlIlQ0ooA48CzmipEYlVpXaxWBLxRX84LraplrjGL0mi1mmlQ7ZKlxfHi6OWgtroWKZhSgSukTJQVt4xMJ1nc9rhinCtBDiYjcQGEtzUh6PeMkp1MavHRzvULvd7X24m63S57nTE9Pc++99w5aO7fi/tvIGmitMXM13/9jrI3nWmwYXrvPJzknuhlC+IR/HChSYzndyyicH7+l/DGWpSJWAHRzw+atjdbHzOGbkEoxsWc/Krr4uWuIL3Kk5Tx9Ig6IAgEIeoUBAbVAjAsH2wDjK7dBPJs3/KgQ8pGFPu1S9yRWksk4pBkq5tOCRBuUEBhj6OSawkKRm2WVdYtnJB7r5qt+3oXAFDlPfu7jmDyjPrubQ69+C1Jt/XlJLdjSkbKaROTW0S0MUTymTI+xPtbSM9lqbDQ+jLY4w8p25bVwrJMylxZ0C0OsvKZXtzDMNmLmk5yTpe6fsY5OrpnrZ4N2qQqC5cmDbu6POTUWKYR3MS6ZhbosOPz/2XvzcLuqMs//s+cz3jHJzZwQAoGgkRkCKKACRqTwp62tBQSrbbvbohzKp6otfFpLq9pCq7q6tau7onYhWAioIIOiQCEaJkEikyCDTCEDyb3JzR3OuMf1+2MPOefcc+6Ue3OHrM/z5Mk95+yz99r77PXutd71vt+3UnVHROs0FpHsrbgEpQIvPnw/AF1rj2fhhtOxBdg1FV9rI6LLPthld0Q0lN8YFiTArXpJlVsvCGUc4lTkPSWHAHizYLO0rf76DtsuVTdcTSk4Hu2WQdn161KRa3+T2sla43vS1sw8Uyma3kizyWorra++UpgaX5vK2orGfewarvBmscrSXIpju/N13x+oqJS80Fmoa2HUb9n1sL2wSEtFA9sPddFylk7e0hmsutiez5uFKvurYX9SCSOW0obOkOPQqkjwTEYiutUy23/1c6pDB9CsFL5jw2F0JHqEDhaP0C5mDR0RgO2G6d8ZU8MXAQcqLotzFnnLoL9s41cc2iwjWdisdczUFuWZyoqUcsI1caa6ENNEafzN2i2d5fkUAlgURcXHqcXtlsHqjgx7C1WGqw4VL0j6ZitnfyWolyaIo/cdx0dQxQvCDAhXCHYXq2iKMuLZ10hPTw8f//jHCYKAXO6gdtrhuv9aORvl/S+ZaqZDSq127h4EAb0agJpkE/VkrTAq2QmwtHCx23eDZIzuifDfVFHq24PZ1p6kMLevOLTaBXDQ5riAEtmgOGbZCyBjKORNCz8QLG9LN5X6AJKFelmZfe4z4V/vqKOOGjV19bXXXjukBs1WDnV1eSIrarUP01jzzPYDnEh0ueR6VCJ9lXYzXC0vRfpgphqmQ0x1CnMjmmHSs+E0+l9+jqPO3YQ2gYpuEyWIBNDjNGYpWD79zJd+3krPZKoZ7z3ZmOLcLF25FcvyKbwgGBGRGFdv9oIwGnlBVOHZUJUkIlFTopwJIQ5GJCphlWM/COhMm/RkLTRVwfPLlN0ASw+rKOdMI4ruc7EjfbY47jiehC9KGyiZbpwz3k7/nt2sOuWcMGpQoS4isbbScxyRWPJ8lGh4UnSCphGJ+YaIRFNTsbRQ1xAh6Cs5LM1bI65v1tAouR6BCKMx4ojEZlWYa50CMc3ek0ycqbInUyma3kizyWoraZHdxQquH+pw5qM+OHp10oP/Vzw/0kYKXQW10a9ZQ8MNwmd9Rtdw/TCSaMjxWN2eoTttsXO4QtHxqboBKT10fLkCBu2DVVlVwufmQMWZ9rHAZHDLRV7/1c+wC0PoqQxHnX8xqfbOw98ODi6uFGyXDstAiYpJpQ2dgaTarsWSXCqMdFaURER+T7FaJ6I/XWOT+TzmmY6xxnQUYpoojb9ZXMCrFlNVMFWVnmy4GPjyQIGKd3ByrkX3YqwpHBPrp9V2bVUBVVXQAdcXuL6PrmqUHY+MqbEgbY149gEIIRgYGKCrqwuAzs6R/bDd0rE9H6em8ON4GGveM9550Xy+/yWtmWvzkNq5+5Dt0Zm26hbyF2UtbD/A9nxyhs7OQgXfB1UN5XuKU+hFLLy5gzceuQ8z18aad14yJanMUL94Ufv8LLpe9JnB0nwmybKI7UVj9foDFYecEcqBSOY2E7bKn/3sZ+teu67LU089xT333MNf/uVfTlW7Zh2Hqos02RW18AFuoKtKWBRAU+kt2wQCMlF6jS9AVwWaqdBhGgzaLrY9/bEGXWvW0bn6mClNZ4bwpvSIKtSpYRphT/agk6Di+gxUnMhZIAcW08F86eeH6/4Yj32orQDcnq1PjW1Mr21MgwxTdVVOXNyRHGdxPkVfyeal/QUOVBwCIUgbod6hGTnZcpYeTkhUhZyhc8B28HxBm6ZT8gIcP4xu3FOosH2oHK4sKpHge2RC+qsueTN0enqE/VNTQFMhpSgEQtBbCRMx8qvWkVl5LJ4SugZ1oOoJdBW6UwYV38OPqlUCDFTD1OmUrmLpKm9dmKXs+fSVbBzhowTh0MT2fUqOx4q2NEXXZ+dQmaoXsLItzRnLu5NK1xXXT6pjKkR6jJEcRO0EyrFHhmilDY1uQ6+rmt2dsZLfIP6dW/22MvWqNVNlT6ZSNL2RZpPVVlpfOV2nKMKiSWXPr6vGOBpl10NTFNK6iqooyX3TW6rieAGmrqIrCmXHRxFhWpBCqPNZcDzaTJ01HRl2F6oMVl2GndBJHjsZNMBQw6qvrhh/2rKlhtEEhyNC0SkO89qvfoZbKmBkchx1/sVY+fbDcOTmxNeo4gbkzCAqgKHSlTIIgtD2VFw/kaUQkEggNIroT2UUYi3zuUjLVI81DnchplY0+80anxMFx0syi4Zsl4p3sC+rhM/FnKnTF0XdQzQu1pQRVV2dAHzHx9IUFBS8QOALH0vXWJi2WJi1Rjyjyq7HL375S5797Tbe9b5L2bD+uJbSLFZU+NGcgC75WPOe8c6L5vP9L2nNXJuH1I3jPZ8OKwywKbo+lGwGqy5Fz2NZLp04FAXhIrsbjLHzCTC0azs7f/0LRBBgZvOo+tT1ncZsJJVI31FTEULgi4Bh26VguwxUXXqyFqs7mgcA2Z4vI43nARP+5T7zmc80ff///t//y29/+9tDbtB8oXHAMNkVtfgBXnJ9FuXCVUs/AEMLO/G+sk3FCyuPGqpCf2DjTUPZeADfsXnzyV+z+MQzklDpqXYitplqmIooIKUp9ORT9GRTiVYkwK7hCr3lsHqz1CmbHmQ/n3paVQCOP2uWStvq/fg7vSWb/rKdVGUveW5UFTKc3HqBACHQNRVLcyk5Hj7hZMSJI/7wmzsQaszIkHNwC48o/cIPBZz3PP0YK848H91Khbou0Qqy4KAYsx/Avmq96otXc1DHDVDdgEBUsP2AYjKqincgsH0ndL54fpJ+vatQYcPijhHVq+Mq1/kolatZ2nLjNY5fN6uaPdZgR6Zejc5U2ZOpFE1vZLyT1Yyhs7wtTW/Jpt3S2V9xGKi6aMOVJEK4dhGgtiIzRJXCowrpfdF9qhB2G1NVcYMAPwBNFbSZBgowYLsUbIc+VWVh2mRB2mTYcVCDKDpJhN9P6yqmqlF23cSR6IW12KBVNXRGFmGZLuzCEK/98i68Sgkz18ZR5198WHURazHV0AbG5EwNRVHxAg8hPLJGmuWL29k+WMaJKmg3izJb3ZFJJo+xPqK0AeNnqscaM1mIaTTKrsfLB4oUHZ9l+RSLsoTOQ9dj2BYoQmAoYSSxS/T89AMGo+e/Bslinu2L5JmmAVkzHId7vkBVFSxVBVQyhsbCzEEnYuMz6tHHt/HUY48CsPfAIKtGcRJOZg4z1ndkpKFkNGb7PKSZDmrteL0rbWKqoaRAWEXdpeoHYZah5ydpzHH2zVQwuONVdj76SxCC9hVrWH7m+aiHsMDairAQWfjP0sPAAVQFBAxWXVJ6aJMcP0iei7Xz+Ea9aMncZcp+vU2bNnH11Vdz3XXXTdUu5zSND+3xTlJqo5YWRfpLtal3gRAEBJQcQSBCTcR4iqIoAuGFk4pmFQgPhcBz2f7gPZT39+KUCqx55yVTUp25ETcIcBLfgcBU1cgQHzQ4aUML9dGMwx8SfaRHHsl+PnlaVQCG1um1o6XdxporpqrURSR2pIywEqkfUPWDphGJlqZS8gK8KCKx6HjYgUgiEn0/8QfiCsibGn4QUPREEpHolofZvvVnuJUye578NSs2vhODg1VgFcKCBUFUebLNDCMSq5E3w9TCz2ojEpfl0k0jElVVIW8aLMunKLo+nh9GJC7Pp4GR1avjKte5KJWr1fVr9n+zqtm1/7f6bcfaRjKSuWpP4sg0VVXpsAyqXjgxOBBFqtVOKrKGVqcDtDhKbzK1UDup6IaRC3FRn4rrY0RFUtxA0F8JHeimpuEEPvsrDkXHQ0WjzVJQENi+IBACTwRU3QAvODjIj1OPmIZxwUTRTAvdstAMk6POvxgjnZmxtiiAFWlOAgw6YeShqoID7C87LGvLJI7C2gIVtcTv1eojHoljg6lmMrbhcBZimihDdhgQ4AahJtqQ7eH4AShh5fV4gS92KAgYURwppjY60QdsL2BhxkJVFTRC+Q9DU1mctVCjxf7GZ9SLL77II/ffB8AxJ5/OsW/ZMOrzazJRgWN9R0YaSibDbBk3xM94x/Mx9YPyJE70fI/TewVhxF6YWeCzY7hMu2lgaSplN1zI14G0qVJ2AiZbD3XgtZfYte1BEIKO1cew/PRzpzzYJybeqwB8XxAogryl05NNYWpqUlBy2HYpuz4wMlpf9v/5wZT9grfeemuisSGZ/MSyr2SzfaiMEXV+KzJOBdult1TF9gJsLxgRWRCuPyoIRaApCo4vpmzCEPg+bzx8H+X9vaiGydKTz55SJ2JttFClxoJqisKg7eIGAR2WkUR1LG9LJ7pUh5sjPfJI9vNDw9Q1TFWpS5WtTYcoOKHOCJY+qtO6v2yzfaiEQGFJ1qIrbUYV3EPnoRsVTzmqPZyovzJQoq9UAgV6simyukbFr7IgY9GZMthfcUIdRUg0BVOamkx8LE2j4gpyRqirqLpVHvrlz3ErZdLtnaw59axEs2lhxsTxfQZtH0WETseMrlFwXDRVIWtqFBwf34eOtMGw7ULkcHxlsIhCKFmQU3VKrocQoc7ioozFgapLX7GKoiis6shwdGeW/rLNywMlqp5P1fPJmTqmprIwcgQWSjY7SzYl12VVW5Y1Xbm669k4mGlWNXu0vn6kLy4cClNhT6ZDNH0s6p7vlp7062aLAI33Ra1OWtn1MBvunYyhJ/ffnqhIwoJIw3RXoULJ9WkzdTpSCnoU7WD5AcOOh+2CaHg0C0JHvqWpOIGg2iJjoTFqdzrQrRRHnXdx+HcqPc1Ha40CLMyEmrB7SzZ2dE1sAVlVQUVJFirHO9mRiwlTy0Rtw3QWYpoK2i2dZblUUjQsCAKEAE3RgNDZMFEHQhxEYAfwZtEmZ6hkDJ2i66GrYeE1U1eBVF3a/c6dO/nxj3+MEIINJ57IGeedR0fKkM8vyZxgJuchZdejVKxiqkqkdaghCLNcuiId74Gqy+KaQmy2FxbwMqJgoJIjsD0HEHhx5gCEryfZroHtL7Pr8QcA6Dr6OJae+vZpCfaJUdSaRUrA0FR6smEBuRgnEAS2mzhVJfOTCf+yJ510Ut3NKYRg79697Nu3j3/+53+e0sbNZSbiaa91JAzbLkKE0YWOH1ByfTw/oLdsU47S+TK6gipCA0RYkBRDDVc8PCFQFUF1isSORBCw89H7Ke7dharrrD53E+nO7qnZ+RioClQ9HyHCogxZQ8PxfGgIkT6cHCmTBdnPp57xpC/XVnIGWjqte0s2vUUbFIUgio6KizjUpjMbWrgg0Veyk8WHQFQPVn12fMquz6Adph0rkFQ51gh1W8Kv+UmEU6FY4NVf/pRqYRgjm2fVee/FNcL+GAB95YN6Tg7hl5w4NTqIcqIBGxJtxYoToBJE3xOUXCeJtgiIIjWitOe4sJQvQkfoQMVhX8kO00Udj4ypk9Y1rOga9pZs+oo2PrCzUGFN18FqlFPBkb64MB7mmz1pfL630hWD8P6ouD5FJ3QW1BY8aDVO6C/b7CpU0BSFzpRBzgxTqAu2hxsEYIYptQA7hytUPR9DUVBMFSEgEAJTU6k4flLFWVEhr2mIIFooMFRKbtjndELNUxRw/Kl1KJb27cUeGqBr7fHAzDoQ200VS9Ow/dBWdhgGx3Rm6S3aDFRdTB0sVWVBxmJ5W5qy6/HaQIlh22NVe5plba0jKGV0xeSYKtswnYWYpoK42EocuTpQcRi0XTQF0oaK7QbEpQgm49QPCx4ECDyMSOfzQMXBDwSpKLOnt2RjVovcdvPNeJ7Hsccey6WXXJJELU4HcqFNMllm47hh2PZwg4Pj+GxUNDFrhBkFfZFmT7UmpVcBdhWraEDO0Cg6PkEgUNXw2esSyo8YqoaKN6kgoOzCJRiZHG3LV7PkpI1T7kRsN8N2x9GThqaS1jQMTSEfFTGMF++T71g6kJJ9f54z4V/20ksvrbtBVVVl4cKFnHfeeRx33HFT2ri5ykQfnLWOhIDIMClhUZGOlIGtKqR0DdsL8ERYka07Y2FoCiXXp+J4uELgeD65lInvB0w+OPogQgh2Pf4gw7u2o6gqq865kOyCnkPe74jjtHjfF4KetEmbZbAoa7GvZCcac43V7w4XR8pkQfbzqWc86cvNKjk3c1r3ZC0qnpdEJHqBqItI1CCpLgqhg7IQRf7FEYl7y1XaTIPOlIGlq+OISPRwXJsXH7qHytAAZjrDce96H/m2PJ4fUI0WNRbURCTqAEpo0yqej6Yq6GqY3mFwMCLR0FUMVcX2/SQi0VCVuojE5bk0Jc+nr1gFRWFRVIDJVBWGHY+qF0ZqxRGJtanKClByXVbkp96JcaQsLhwK88GeTOS5Hm9rez4l169bJChHup1QH5EcRDp8PVmL3pLN3qKNQLAgYzJou/SXnTCtX8CQXaa/4hyUJfBDN7+uRgsLikJaVVE1ge2FciGOHZDSBYau0pU2cP2AQrQ46REWW5lqint3sf2hexG+j57O0LZs1dQfZJwoQMkJKEQLFioBJcfnqM4Ma7tz2J7P9qEythdQcNykYNPuQpWKFwBiVEciSKfJZJgq2zCdhZgOhWZ66Y7ns2PITTQ6dT8YUcRgMgSEac6GpZM3NQaqDo6A3rJNyfPDRbWnHqNSqbBs2TI++MEPTqkTsdn9P96FNtl3JI3MxnFDm6UjLDMZxzuez4DtYkb9KG/qlKNnfm+xSl8xfPYPVsJxrqYcjDzORvuAcNG9vzr5ebuZzbH2og+gmdaUOxEtFRzfjzIfwwwHTYEAwZJcmtUdWcquFz0z7TpJIcn8Z8LW+stf/vI0NGN+MdEHZ62ugq5qpHUN2/NxfMG+ioOCYHHWosPUeW2ogiug4nl0ptP4gWAg0ldxgHLZaXm8idL33BMMbv8DKAorz3o3ucXLp2zf4yFr6uSMsAKroSp12jGS6UX284kxnkFw/H48QW2WvtxYPKjVvrozoRbgruEKe0pVUppGzgyLQEAYpVR0PPYUq5iaSmfKIGNo7C/Z7BgsY+gKhqriaQFvDFUYqjp0ZywWpM0wBVlR8QkdgLavoGsKXak0D9xzP8P7+zCsFCde+EfobW24foAdHIwc7C87aBqkNHB9aDd1hALdaTORKmg3w8WSjKHRnjKo+j4VJ8DzwwrPZddDVaArZWJooYOxFDkKuxbk6Y/s667hCgJYkrXImXpd1FfsnNlfttFUhQ2LOloWZ2pVqbnZ79n42ZGyuHAozEV70kpIHZr3y9rt421zkT5i/IxvjEiEg+OFkuNR9sLqwIqiYGkKnoCC7WHpGm2psCK7F8mWDFQjGQTCgT0C3EBE+oiCVCDwahwUKS2s/lx2ffYM29OulTi8+w12PPILROCTW7KCXM+yaT7i6DSmjqqALwIGqg77yg4pXaXd1Nnn2eyvhIWpVrRnabd0BC5tUQXO0WyDjE6eOFNlG6azENOhEC+AL85aLMyG90iokarhBWHGzaEs+8eR+xA6yw0tlEJYkksRBIIDdriAdqDqgBCcsPEdrF7YxWmnnYZpmod+gjU0u//Hu9Am+46kkdk4bsgYOm01GXFlN9Q+dfwgkSyKNRG9QDBgOwzZLg5hhl+bqaNEC3huIJjsjF0IQd9zT5Dq6KJ9xRoglA6ZDuJibArQZqho0blpipKMQeLij9C8yKHs0/OXCf+ymqaxZ88eFi1aVPd+f38/ixYtwvenKKd2DjPRB2dX2sTStSRyQQBtlhEO+EtV/ECQ1nV0TUUnHHToispg1aW/PH0Tgs416xjc8SqLTjiZtuWrp+ko4U2Y0hWKUQkrBehI6axf0MarAyX2R4OLtyxqw4oE6SXTi+znE2O8g+Dah+1Y6cvjOeabxSplx8PQVNosI0nn3VOsUnZ99CjFCYikEsK0YNsVKPhhkYjIMdFbDCvADzseBKBpCoiDIvADmkv3CacwdOAAK09/B3a6jUqDWGtcl7mmSC37bY9oV4mtKkdTn7IbVpiOnZECovTnSLPMqyaf65pK2Qqr2Map2PG5pXWNvOuPiPoqOR77y2EKeFrXWjoSJ1KpWU54Js5ctCeNv/NYz/Xa7eOoo1gPrT1rtbz34v11RA7Iihfex11RNP5AxaHgeqQ1HU1VUKKKrRldoeKJUPRchNWZa+UPgyAgqHmtqQquL+oqFU8XtZUj25avZsXGd01L5cjJogKWHko/aKpKxfPAh7yh4QmBH4CjhNd5SS7F4lyKRVF092j9X0YnT5y5aBsmQtwFq36QVAD3ggBNVVjdkaHi+uwu2kkF5rhQ2XgXzHUlKmoGiCB8zg7bHp0pn558mmMX5LFUhbbI8d2Tteg+77ypP1Ga3/9SY1QyWeaCbYj7VG/JxlQPauvG93GmpOF4AZ4dRvRlTY22aNHb9kNbMNGzEEKw9+nH2P/SsyiqSrpzAWaubWpPrIa4SFvWUGlPGRyouuEzVFPRVSUMWFCVcRU5lMw/JvzrCtH88Wbb9pSvbs1VRntw1q5mN3twBkGoq1D1fLK6hqmoGGbYQaueTzalo4iwY/ZV7ETDLBUJn1ansIy8mc1zzHv+3bRNAFSgM2XQnTbCaMyKg48gZxqsbEtTdEKtl7ypJcZ5prQRjzRkP58Y4x0Ex5WWx5O+PJ5jLs2lGHbcJCIx3s+SXIqi42FpauJss/2A/SU7dN5FEYmdlkHZC+oiEnvLVTRFrasAqWsKOV0nZ2qs+OBHEYqC4/nYvo/niyQi0Yjapmlh/3b9sJ1CCVOlB20XQahDpiih9qmhqUlEYsFx0VUFRVFGRCSaWjgA01WFlK5GUVtqaP80lZypj4j66rB0VAWUmjTvZkykUrOc8EycuWhPGn/n2lS92tcQPtdj4fV4+5LrM1B10FUVU9eS7VtFtJZdDzcIqy8bKYNl+TTdGYu9pSr9FY+hikfa1MgZ4b0uhMATHr4vcEV9NWYT0DWVwD34rusH+KI+gmk6GHj9D6HouxB0rFrL8jPOm7bKkZMlTgHtyZisaM+wv+KEgviKEqVjCXqyVpg67vp0pcN7NJ4w1VbhrkVGJ0+c6bQNM1GIqZHYAd1fcSi5Ph2WTptpUHYDio6LF5AstKU0cCJnYMpQKDZWVWxAAVwBiggX4zVNwfYDBqsOJddLtMt+/8B9mIbOJZdcMqkU7/GmHR/K/S/7jqSRuTJucCKdcicQ1IrnZAydRVkoOh6a6mJpCrqi0hPNY3/fN4SqQlZXKTnjcygKIXjziUc48MrzACw+8cxpdSJaCnRnTHRVYUkuRV/JRgVSkQTb7kIVRYGsEeo2yz585DHuX/x//+//DYQTsn/5l38hlzsoWB8LGs8VraOZJF7Ntj0fS9cIgoBXDhSxdI0VbWn2lWz6yw6eCCMOHCFQfYWhqksh0gvTFIW+ss1w7SQhmJrJwYFXX0CzUrQvPwpgWqMIwiIxCgcqLtVoZcnxBYrjsr+iUY1Em7rTFoLw2kkjNb3Ifj42zQbVtYPg0QbdGUNndcfI91rtH0jkD5xA1OmodWcsju3OU3Y99pXCiIaBisP+shNqJXo+ga7hC4GlqgxWHXRN5Zi2NMvb0lRcnxf2F6j6HsvyaSp+wI5ChYyuEYgw0qnNNHj0wV/Rs2wFC449lpVWhteHKgxXbExVpT1lhtqHnk/e1DF0lTbToDtt0l9x2DVcoeB6mJGWm6EpZDSNhRmLANhfstlve6S00Gm4oj2T6BwWHY+qH5DSVJaYqSRtOaVrtFnh4gOEk6lhx2PncAUhBGs6sxBdi56sxalLu5LrGotfN17zxkrNoyEnPONnLtuTxt+57HpJRBGk6j4bssP0pq60ScYICyo4QUDO0OlIGXVOp1YRbX0lm9cGiyBUju7MkDY09hSrVKLoWhdYaGoc05mjv+IwUHVoM6OqkH5A2fVDpwJg6CqlqL/E2EHoRIxdetPhTKwM7GfXb7YC0LnmOJades6scyLGeMC+isPCrIUfacyqikJHKowEjWUizMj+bh8s4/gBPbmUXNCcAuaybWhG2Q2fQbbnJ4sABz/zKTk+AQJL18KiYbZLAOE8IFoIKEWd0gRKYzgRgaQAGoDtCXpyJtkgYF85lBDxA4fnHn2I3c//HlVVOe2001i2bOISA4c7Cl/qJR7ZzHbb0Ez3FEhkTXpLVQYqKqs7MsnYwNLUZKHa8Xxypk7OMnDLNoaiktYDyh6jZhiKIGD3tgcZeP0PACw77R10HT1110ElLHKqKQfTmXVVCTWChSCluxywXRw/oDNtkNZDPchACJxobiL765HHuH/x//W//hcQesO/9a1v1a1qmabJ6tWr+da3vjX1LZxnxAbH8fxEF2kwKo/eZhkIQNUU9ECQ0nUKZYcAwRvDJUxNJwgCPFXBC+rNzVRMCgbfeIXd2x4CRWHtBe8n3bVwCvbaGlUNJ0Ag8AOBEIIg0nlK6xqaojBse0lYtRRunX6mo59v2bKFLVu2sH37dgBOOOEEvvSlL7Fp06aW37nlllv44he/yPbt2znmmGP4+te/znvf+96Jn9A0MNag+lAH3bXfB+oqPcc6akAyURmyvaQIUZz2a3tR9JHiYelqVGwktBm+EOSjlMn+ihvqq3oV/Cg1soCXVG1+9tlH2PHsU7z23DMY7ZvJ5PLsj6oyV4OAStFO0pkrnouhQtH08QJBX9lmMKrWbEf2yg4EZTd0EBqayoEouqvqw/6Kw7DjUbaMJE254vlN05bjz2IcP6ASpW1bhSo5U69LVZ7o7yLTl6eG+TRuGLI9HD+oK+QT0xi9OFq1wlYRrWEfV1AIkoWzAxWHhRkLxy/jCYVMlJ7fW7KpeAEZXSNr6pQcD18IlLggm3cwusFUwIm8DapCUr09lkmZStKdC1i4/iQCz52WypETIR43xMQ2VCfUlPSDUEVhd6GKqYfVrqtBgK4o5C2jbpEodgw3++0lk2M+2QYI++ueYhXbC6h6QZJFs32wTNn16UjptFkGRcdj51AZT4Qpya7vj3AeTEY3zSMs6mCoCijhs3zPC79j9/PPAGHhisk4EWHiUfiH6giUz98jm9luGxqdhY2LjgMVNdFMbLd0FmetJFNm13CFouexMG1hqAqBojDsRv12lHxCEQTsfOxXDO14FRSFFWecT8fqtVN6XhqhTYrW6CMJEI2y6+EJsGyXDstgSCjkzXCxbV/JThb85bPxyGTcv/rrr78OwPnnn89tt91GZ2fntDVqPlObxmTaHh2WTkpXD2r/RR1RAQarbqiJFAjaLZOutMmw7WIHAapl0FusUp0ivaPh3W+w87FfAdB19PGkOhdMzY6boBJGW+qqSlfKwA0C3CCsehUIaEuFRSPi6I9hxyMbpSpKppfp6OfLly/na1/7GscccwxCCL73ve9x6aWX8tRTT3HCCSeM2P7Xv/41H/3oR7nmmmt43/vex0033cT73/9+nnzyyRkVTY8Za1B9qKmvzb4fRyTGOmq1abq1AxVDDdN944jElK5h6iqWqrKvYgNhim9c7fhAxaHqeyxKp6j4ARXPTyIS33j2SXY8+yQAJ779fFb3LMCI2jFcdTBVlbaUQcXzsZtEJIYVZCtUPB8zapOhKaRrIhJVQV1EYtbUk4jErKElA5TGtOVMVJwqxvYDhqouQgiW5VOkIq3Ixus03t9Fpi9PDXN53NA86iCFqSp16c2N2431ulmk45DtkTN1VuTTDDuhw9JQQyHzxVEE3O5CJRnU92Qtyp6H7YmkWnnJ9UJBd0IHmgJkDIWulMlA1UVVFALAc3x8mkc+GISLkoYSaiqW/bGfuUIIRBAk2Qs9bz0VYEaciPFEyDLUsJK8H443TA3yppHIQHSkDMpRQTsg1KE2NEw/oOB69Jft5PfqL9u8WaggEKzIp6VjY4qYy7ahGe2WzpJcijcLFYYcl53DlSRy3tAU2iyDvKmzczgsmGgoRKmC1Slrg+P6YKqYKgxvf5UdTz4GwFvOPIf2lUdTdicXMTTRKPxDdQTK5++RzWy2DW8MlrCyCoogcRbW3uOZKMU3ziSKs4UWZUPt7SHHpeIGBEEVgYIQAkWMrYs68PofGNrxKoqqsmLjO5MCK1OJy0EnYloLJYMAOlMmAsHibApNVehOmyzKWmQMHVP3KLo+pqXJZ+MRiiJaiRDMAYaHh2lvb2doaIi2tunTCJhqxppoxOweLvPqYBlNAVNVcQNBV8rACYKwWrPtUrDD1cz4RzQIJwi1VdzG+oGLvW+y/YG7EYEfahqdef6UTgJSan3qdVoL05U1VUEljFIyVIXFWQtVPbiqsWs4dEIsSJvJ+0eyoZqr93szurq6+Id/+Ac+/vGPj/js3//7f0+pVOKuu+5K3jvzzDM58cQTx70KOZ+u1Uzw29/+lp/97GcAvPvd7+bss8+e4RZJRkPe7+NntGvVrPJyV1QBNWZPsVr3/kRfN7KnWKU3qq6eNbQkujilqVT9gI6UEeqLVl2EAp2WgalrvDFYYl/ZIW1oLM2l6CvbHKjWxxhqQFc6zHQYrrpJZOJYNEbztUIIwd5nHqfS38fqczeh6rPr+WyokNbCsRNCYOgqaV0PJVWqDl4g0NVwUVNXlSQLQlfguAV5VnVkeX7fMLsKFUxNZV13vmVa82xNx5S2YfxMxbX6Xe9gUqV5bVeOIdujYLtR0UBB2Q2oOD5pUyNjqAxU3ER2IF4EmCwaYGoKXv9envq3nyKCgGM3nMhRp52DoiisbM8clrT82doXJPVI2zB+4mt1/wuvk823sThrYUYBQM0WBuMxxI6hMgAr2zO0Wzov9xfZV7bxBWQMlawR6n7nDJ2XB4qUoqKjjc/gWBsxv3QlbUtXTss5xtInmgppQwcCKp5gQdrkLYvakuCeeAxiqkoiORQ7FmXfnx9MxDZM+Ff+4Ac/yOmnn87nP//5uvf//u//nm3btnHLLbdMdJdHHI2rdc1W78qux/6ygxcEVP2APi8Uc91fdjD0sPqi12RS4Da8HmveUO7v442H7kUEPm3LVoXC6FMcSeAHoXGKHYkVHyqej66qlFyPQIgoosJH4ON4kSZUIFiUlXpEM8F09XPf97nlllsolUps3Lix6TaPPvoon/vc5+reu+iii7jjjjta7te2bWzbTl4PDw9Pqn3TRfxwra1iFvf1/rJNb8lOdA9bfbdWMzH++7WBEgMVl860wZrOLBlDZ/dwmdcGyxiawop8Gi8SgjZUhdcHy5Rcj86UScbQ8APBgky9o/7RJ57i3yIn4tEnnsrC4zbQX7bprzhUXJ8FGZOS61PxfCxVZdjxSGkqJc/D88H2Q624Ve2Zusptpqqwc6jM/opDd9pkZXuGguO1rPIWD0r6SnYSfWhpKgtHGbC0upZycDOzzJVxQ2Pl5dr/Y5qlMTtRVG7ZPdg3zZpqhrXFOZpFOg5UVJwgQPMV0lGGgkJY6bXoeOysOrheQFfGZK8XUHK8MOpQhFIFvggH+14QUHCC5LnvEzoQ21LGuJ2IMH4n4ptPPsKBl0PR98KenbSvOGr8BzkMBAF4SkAlGnxUnQDwyKctRCAIAvARWBoYqoqmhGnPCoLBqsvCKPrTC4KDWSMtkOmYk2Ou2IbxsiyfRldDPbQ4ks/2wuelCASWrmKmDAwtLEYWd9apkCfyAdt2eH7rvYggoHvVGo4/8+10pEcWeJtOpI6wZCqYjbZhYcaiLWvVjUNrtbcbxxCLsxZVP8DxfLB0junOgQIHKi6qqpAzdbxA0J4yWJJN8cZQBVNTOKYrR3+xzO6iA5qGoigsO/WcKTkHjTDIqMb8AOGzz9I1fD8gQNBpmWSNMMunr2QzUHXJmWFm0IGKE0X9B4mtA/kcPBKZ8K/84IMP8uUvf3nE+5s2beIf//Efp6JN857mekr1D/kh26PoeigoqIqCiLq7DzTzIMZy5hNZzXRKBbY/cDeB55LtWcaKs941LcLoLqHhijGV0CGQiSpcDkeV694shikeaV1jcdZqWRlRMv1MdT9/9tln2bhxI9VqlVwux+2338769eubbrt37156enrq3uvp6WHv3r0t93/NNdfwla98ZcLtOlzED9faCOH4Idtbskfo+TX7bkzt33uKVUpuQNX36c6ED/PdhSoHqi6qABUlOZ4C7K+EAu9O0SZlhBWPbT8gGxVtGOjr5b6f/RSARcesp3P9ybxZrCaah44fhIUdPB/HD8KqkVG0j08YeawAjl8lpYcDjvicFWBPyabiCxy/iqVrie5hPioo0Xh9Qi0aO9FDTOtaUgG32YCl1bWUg5uZZa6MG2qfxa0mw43vx+k9ByoOQ7bHklwq0dVrFonYeC/WpkI5Xqgv2maFBVrylsGw7bK/ZIeZBiJMZa76AV0pgzZTpxoVWlnZnkFVFHYMl3E8kegfqkoYLVByXMrj9FbohP0w3txSwK4ZdowQfT/17bPOiQhRMQpRb4N8P3TQqqqKJgLSus6yfIq8ZSQRFnH0Z/x7jqcQk0zHnBxzxTaMl+6MRdrQGLK9JJV4UdZi2HYpuD7tpo4fCDRVwfUDHN/Dd8WU6ZWmUyZnX3gxrz77FMefexELsymWtWWmaO8SyeFjNtqGVR1Z2tqyyet9JTuJQF7VoY8YQ6zqODgWIMo20BSFvBXK+FQ8n4FqGAK0v+rgEkr+aMLn2V/cRVUzWXL6+VM6N49DhfQazWQAVQmlkYSmkjFUTE1FUwUF22NPqQKodFgpFkZp2gXbpRrNA2Lkc/DIY8K/dLFYbFp23TCMWRcFNFup1UmMVzJqJxplN+ygmqqQVhRURUNRXIIAFBVsL4BIqNkJQufhZNIhjEyO9pVHUx3oZ9U5F6JqU9vxNcKJiAKkdIWMruMFPhkjnPwsylis6colVWdtP4ykSNVEHUlmhqnu5+vWrePpp59maGiIW2+9lSuvvJIHHnigpTNxolx99dV1UYzDw8OsWLFiSvY9FdRGKcURdzGxjl+tnl+z79Z+J/57SS6VRCTG7y3Lp7AjXaZl+VRdRKLjB6NGJKaWLOH4t26gULE58bx3ESgKbaaeaB5OJCKxJ2uNiEh0PD+JSAxXMbWWEYnxefZkrbqIxNEWYFpdSzm4mVnmyrihlX7hWJGsZqRnGBcEK7setueTM7QkMjGuuN5u6eQMLYlgrN1vztSTlKF423ZLx/UDhh2XxZkUZc9n2HZZ0ZamM22yr2RTcDzeGCpTtF08T5AxVTSgHBVYOlB20FUVpWbQH48ZrKgYSzyfMAFdg5Su4/g+lq6honCgGhZmUoKAHY/9kqEdr4GisPyM8+hcfQwwPQVcxkqzNgGUsHCKF702dQUvECzIWLSZOr1lm5yhUfJ8LE2jzdTxRYClmXSnzbrxRnfGYmHN797qHhhL+1IyPuaKbZgIzRYL1nbl2DVcobdoU3RdQMFQFXzCFMeOlMGbBfuQ+k8YdWiw4S3HcewxazlQcVBnadV0iWQs5oJtEA3/N3sOxONO2/OThfG0rpG3Qj1xI4pgdjyfiuuTxeOeH/+QvXv2oJsW3aVhsvmOOhkzDcgZKo4QVBqCi+K5dyMaYGmQMXVMTWOw6uDWfNfUVRZlrVDb1fN5faicBAzYviBvkjwr42yKvGXUjavlc/DIY8K/9lvf+lZ++MMf8qUvfanu/R/84AdT5hQ4UugrHUzDW91x8KfYV7LZWajg+T5GVKnZ9QMUBWynxkAcorqloigsPeVshO9Pi7ZR3E4BlDyBE4RRUgXHQVFgr1pFjZwbpqayvC0NkAjZg0xJnCmmup+bpsnatWGFsVNOOYVt27bxzW9+k29/+9sjtl28eDG9vb117/X29rJ48eKW+7csC8saO2pkphjt4dqdaZ7S3Oq7tX+/ZVH7iO2XtWVaRiCMJzLh373/UoQQIyYg44nKGYvGfYy1zzBaq/l1a3ZNW11LObiZWebquKExGriVPIETOesLjocTCGzPp+SGjsRdhQqlKIcxLu7RmTbpLVYpuz492bAKs+MH9OTCYi6vDpTwhaDdMljdkaE7YzFY9Xh5oEBaNwB4fajMa4MlOlOhY39v0U4cbqoXsLojS2+xwqATsKd88Bwahw12wxsO4PhQ9sPncNHzkolJ4HvseOQXFN7c0VT0faqdiDD2IqkDdSflAEoU8VV2PZblwwiK3pKNqigM2C6O72OoGl4gyEXR2PGiLlA35kiiSai3vTLKeWqYq7ZhNFotXPWWquyLdEzjXAFVARRwgoDJuvwCz2P3tgfpOeFknPQCKq5PwXbxgiBZ3JgK5HhccjiZC7ZhUdYaU/YCwPF8io6HpiosSJvkTD3pR/GYNW1oqJ7D/XfcxvCB/ZipNOf90Qfwsu24gSAQAkNRMXWV7nS4CPaH/gJVz0UHDE3B8UWy+CYIizq1mTptlp4UYXP8AM8PMDUN3/dQlDBle2HWqtM6tKMCjHHAwLJ8asRcRNoByYTvgC9+8Yt84AMf4NVXX+Wd73wnAPfffz8333zznNMymWmUhv9jBKAIgaZoyYp42Q2mREPFq1bY9+Iz9Lz1NNRId0E5TALpbnBQyDWlqbRZRt3qjBVVWh1LP1Iy/Ux3Pw+CoE7TsJaNGzdy//3389nPfjZ577777mupqTgXaDYAb6V92Oo+b6X/11+22TVcIW1odKdNnEAQBAH7Kw5BIFCjgYsXCPorDrbvs7LG2fjG7jd59PFtnPGO8+lpy1BxfXYXKihRNKKuKuwvO2iqQj56vbdkU3R8nMBHFdCVNjE0laLrY6gKq9vDffeWwuqnbiBw/GCExuG+kl2XGmFq4YpoxfWTc43TxMZzncaa6ExmIiQnT4fObBw3lF2PseTlax0CreQJym6YkpyNomsPVJyk4nKocejjBkFYNExRkns61kXsLdmhE0EJIxb22S5F10dToOR5vLB/OCyWYjtUA6h4LllDpVwNxwQHKh4pQ03kQwLCZ+2OoTJ6VNDsUMcO8ffdUpHy/l4UVWPlORdMm+j7oWIHQCAoez5vDFXwg4AhJ3QCewICVSHQQufNqwOlMPXbPXiVektVBioqqzsyIzQv66t4yyjnQ2U22oZDpXaCHT8/HM9PIoQhHPcHgSBQwfYERTeYVGaRCAJ2PvZLhndtp9zfx+IPXkZvFKUM4SLHVCHH45LDyVywDeNxpg3ZHntLNqWoTxo1VY9jyq7Hm/0D/OL2H1EYOICZznD8u9+H2dENvs+w7WNpCmlTQ1GhGmX3DFTdcDyihI7Iqu/VLeh5ItIBjqSGhm2H/RUXEYSaiJqm0JUyWdOZrbMVGUPn2O580rbaMbhEUsuE74pLLrmEO+64g7/7u7/j1ltvJZ1Os2HDBn7xi19w7rnnTkcb5x1xAYGi46GrCsOOxxuDpWSCvShrUXA8+sthcQNL00jpPrYn0NSweIkCqBroalR4paYqcqvqb75j8/rWn1Md7Md3HJaf/o5xVXWeDJZ60HHYnTYouT6+CCJnhMGxXTkgrMycNTRMTcX2fPKmXqeNKAfrM8NU9vOrr76aTZs2sXLlSgqFAjfddBNbt27l3nvvBWDz5s0sW7aMa665BoDPfOYznHvuufzjP/4jF198MT/4wQ/47W9/y3e+850pP8/DRbMBeCvtw1aDklb6f70lm96yjampSRpzyfEYtF08P0DXVGwvlA3oL9v4gKZUWdaW4cCBA/zo5pspl4q4is673/0uBipOUjm2bBkowKAdari0R6/3VxyqUXRVmPZQTY6jqQrpaFGgr2wnVd3iBYNajcO9NfqHQLKgMFBxknPtTJvjvk5jTXQmMxGSk6dDZzaOG4Ztj9YxziHNJgmN6fehnrGfPLfMyGngBj4pTWVZPoUCI+Q6Yl3EeH9xFKOlayzOqonzcm8p1Cg1dQ3h+eRNg8U5i9cGipT98PltqSqdOYMFaZOdhQrDtkfVF6QVhZSmUIr6qkEUWRj9ragggpFF2lqlE1ttHaw+770ErkOuZ9l4L/VhJ26/pUCbpbO3WEUQ/p55Syeta2QNjd2FKooa2rDaccdARcXxg6aal3DwvpD24NCZjbZhPIsMtduOtkgYPz+yhsaCjIFTsPFEeI/akRDpZMfhYcGjXzO8azuKqrLy9Hdge2G0UWfKoOL5UxqRKMfjksPJbLQNzRhrsTkuurJfhSHbp+iF29duu2tfPz/54c2UhodIZ3NsvPj/w8/kEULgBmEAjqWrKEr4zO63XcpOJSmiljZUejJWFEl48PmtUSMRFI0zNMXFNFW6UyYV3ycQgj8cKBCgsDyXYlVDFlBsw4ZtFz8QLQtDSo5MJvU0uPjii7n44otHvP/cc8/xlre85ZAbNZ+Io24EkI90wGp1Eg5u5ydhxEEg2FuqJpUG1egfNZqICqAH4PkjRZqbRR8Ensv2B++hOtiPbqVZeNwGYGqdiLE+kqmEDk4nCNvWV3GxVPBFqLPQbil0Zyz2FEPnQ1c61MA4UHGSEPE4vVkO1meOqernfX19bN68mT179tDe3s6GDRu49957ueCCCwDYsWNHXRrtWWedxU033cR/+2//jS984Qscc8wx3HHHHXPatoymc9jsvWa00v/ryVq4flAXkdhh6Vi6OiIi0VAVbN9nWT7F8PAwN9xwA+VSkc7uBZxx5hmhI0RV8IKgLiLR0tS6iERNVUaNSKxtY2NEYu15xxXtaiMS4zbE55Y2tHFfp7EmOpOZCMnJ09Qw28YNbRP8PVs9ixrF1QH2eT56dA8vivpCOA6wk0iExv31l23Krs+CtEna0ELdYC/0FKoKdKcMsmYaxw+ouD5Lc2n6yjaGqrIkn2J5W5qK63PADp1dXhBgqKFDTI2d/mo4bgijEAwGbBc3EKHOYORUNDWFvGVQcFyqnsCzq1SKw3QsWEQgINO1MGlzSgVdVSl5wZhjiSiDEzg4yVGBdJSO1ejMrCWuMhmPdWodLyktXFyNReNzhsLCtBUumABF18NQQ+H4ozrCSOx44nd0ZzZZ6Kj9/WInb22fb9TBlEwds802tFpkaOYwGGuRsDaiNURhsOpiez5e1BFqC6JNZEy+74WnOfBKWDV9xZnvpG3RUip+mHlwXK4tfO5OYUSiHI9LDjezzTY0Y6zF5rjoysKslfgDRownq2Wq5RLtHR1cuXkzVi6fLDTGz6h8jZb4Hw4UKLkKliLoSBms687jBIIlkQyapihU/YA2U2d5W/qgDIvn4wYiKg6Tpex6bB8ss7/sENZqHknc1n2lsJAjTI3UkWR+cMhPhEKhwM0338y//Mu/8MQTT+D7U5GAO3+Io24gdBYKIGdodQUE4gIjg7ZLb8nG84MwNSciAFI6WKrGkFMTvWOE0YjCHz11KfB93njo3yjv70U1TFaf/16sto6pPtVkchAI0BUVS/Wxw7ow2MHBm82OHKitHCkyAmj2cSj9/Nprrx31861bt45470Mf+hAf+tCHJtrMWUuzAXiz92od6HAwejl2wqU0lVcHSlQ9P0lNrtUF7C/bDFQc2i2dRdlUMuHpL9vsLlQAUFB4Y/8Aj991G0ODg7S1d/COP/ogVUVnb6HKAduh5PiIaERxdGeWzrRJX1QQqbfkMlh1yBg6K3Jp9pWd0AFi6izSNXYXK/zhQJFju3Ks7sgk7a8doJRdj53DFWzPpztyctY6FNOGRsbQ2FOs4gciGQiV3dYqbKOtCtd+VlvYSjIzzIZxw6E8W5oV2oiJIxQVYMBzGbRdFKDo+gghKLs+qzsyI9L7ByoOZS/A8XycQIQFjdxwAmFoKk4gsALBvrJDIbYTpoYeFRYBeH2wxN6CDQqoavhMdvyDKZNOlCVgEPa3qicORh5Gf7i+wC47eIRSKK9v/RlOscCa8y8m3b2o7jpUAyAYX0KmYKSTJIAksrkZsWOl8e4QHIw6rPoHF1sDoOwKHEuQ0lV6izZlL8DUoDttoaoqZdfjlQNFCq7P8lwKU9eSitvx79jMNsc6mFPpmJGMZDbYhsZFhtr05GKUAh/fH2MtEsbbbR8sU3Z9vCDA9nycYKTjcCJ31sDrf6D3d9sAWHryWSxYtSbUWxTQkTLqHJi1KflSqkMyV5kNtqEZ411sjh2KcR+M3wM4ds1RXH7ZZXR1ddHW1pZIptgcdCCmDQ0i6aGUprEkF2bzWZrK/ooT1lKAUEZFPbhoX3ushVkLs0HTMWNoLM5ZibRQs3ZnjHCBX48Kw0gkMZN+ijz44IP8y7/8C7fddhtLly7lAx/4AP/3//7fqWzbvKAx6sZs0AiLVxz2V8I05jbLwFIVhm2PkusRRNUUs7qBoSn4QmD7AZ0pk5SuMlh1QfgEAlCoc0BCpJ/y6P0Ue3ej6jpHnbuJTEf3lEUiWmpUDTYQKEEUkaiBT0BK1+jUNap+WKm53dQTwVZoXkSittrlTEUAyYHWQWQ/P3y0imyo1RGtRumP0LxwSpz+XHQ8subBSXFvyWZvtEjhug5/uP8uygMHsDJZTnrPpQwKDadkY2kuJcfDiRYAnCBgQeSkjNtRqHq4hFptFc+n5Ib6bq4QofOk6qGp0F6yw6ISNdHXcWozhMUNHD+gGkUz1aY+x8cbtt3EkdKdsUZdZJjsZ5P5XSSTY77Yk9HuidoJfG/JZiBawc+ZGoiwT8VOq9r0/mqUjXCA0GGlCkHG0NFUhY6UQZupkzN1yp7PYDQx8AOfnG4mabiKouABQoDmQ97UyGgafZWwDYYKWUMjrWsIZWQKc63jzi2XeP1Xd2EXhtBTaRRt5L3fqjrkRGjmYKz9LKa2rSphNKQTHIxSbLd0inboeB2oOuRNA1UBXYGMHqZ2xQuVhUi3sjYyZKzxhoxMnl5mk21o9fzIGlpdCny87ViLhEO2Fzr0haDk+bg1mUXjobGfFnt3s+vxBwBYeNzbWHrcW7B0NbyfTYN1C/JJGxpT8uXzTDLXmE22oRkTjdSN++CBfftYkDHp6ekBYPXq1XXb7C3ZeCLAUMKU5j5Vpex5DFbDoi2r2zN4gWB3oUrF9VBVFVWBqh9GO+dMjXbLSOYMzTIhhmyPkhtqPMd1CloxVmFIyZHJhJ4ie/fu5frrr+faa69leHiYD3/4w9i2zR133DFrKijNNuIViPhhnre0EekPCqGWmOMHLM+nWb+wjT3FKi/1F0LBZAEFxwVFQVcVsmY4uSg4HiXPTzQTmy3s7/7tw4l+yqpzLiKzoKducD5WKoVGOIhplnZkquEEH0AQpjEHhOKunitQFJ+cqXP+ikVNvt2c2Kh1pc0ZG+Qc6QMt2c9nhlaRDXH0sqWp+IFgf8VJnPGNxCuF7ZZetyLZk7Xwourvj/7sbsoH9mOl0px36b9jxeJFFF0/cuDrdRGJ3Rmzbh+OHzCoH4xIXJA22Vd2UBVYkLUwFAVVqSSrluma6Os48jre35JcakREYu3nPVmLrKElmiytrtFo1288n42FdCAcGvPRnjTeE60iFNOGRqZkJxqJcLBYUPz9zpSBqApUAeiwKGOFWQiaStUPRvTlhWkTxwso2A6r2rJJReIgCDA1lbyp4vmhe872fdpNgy5Lp+J5eD4M2D6mqrIga+H7goLt4geQNVU6UqHjf3BoiNd/9TOcUgEzk2X1+e8j39ZOxtBw/QA3EAgxclzQ6Fi0Ik3nuIJk41gjHn9oNK/4rBKOMzpTJqauogIl10cgWJi22F9xKDgebZbOcZEw/K5CJZF06E4ZDNgOlqYlTpt2S2d5PoWAujTzsZBpnVPPXLENzSIMW9FoC+LIIk1VcJwAzwswVEirCoGAQIgwsrcGk7BfxP3LUOuDBFId3WS6F2Fl86w+6XQMVcFQVXKmRqdlsn2wnOiYtdIbl88zyWxmrtiGydBu6ezr3cvdP/4RmqryJ3/yJ3R3d4/YZnHWYrDq4ogAEUDR8/B9SOkKmqpR8eLModAJIIKAQFWw/bDCc8mFDssYsfjReBwIU56P5HmvZPKM+2655JJLePDBB7n44ov5xje+wXve8x40TeNb3/rWdLZvztI4mGg28bC9UE+s5Hj4QViyfdh22T1cxg0E7aaOFwT4vog0hASKH1Z30/CSoiqmGqYTG0pY4CQesAugY9Vahna+xoozziO3+KA4ugEoColQayt8WkcciAAsU6PN1Ci6PmXHw4vOQzfAVDQMVWH7YKmupHx8XWors8arHLNhkDMb2jBTyH4+c7SKbFjdIHy8ZpR9tFoxrH2/813ncccdd/DRj36UJUuWjNi21f4b2xFzXOP3o0JKY31vXTTxb0Wz7402mZ/sZ2MhHQiTZz7Yk9rMgVifKNYsoiZ16EDFwfF8TL3eoRjfx80cDEO2h6mpKCgEShix2542WZJLsadYpRKl3DpBwL5SGGlYcHwqnkfWNAkgacveUpX+iksggshBARU/oOzYKDUOPYDeiosnBAPV0H2nqeECYNbUKezay2u/+hlupYSZa+Oo8y/GzObxROzEA0tTKHn1gweDkY7F2vFIM+L3WwkWBITp0weqDqvaM6HTxfOxvYB9FQ8V0BSwvYCC47Eoa7Eom6Jgu+yrOJTxCFAYtB2GHQ87WpCJ9aYa08saf/OxHEcye2HyzCXbMN5nQKw3VnZ9BqJFtN5I2sPxA4aqLnZUaMUPBIqqJDqJtTgNrxszjXQrxVHnXQyKgi0Uqp7ADDzSukbR9RIds7Shjbg/5fNMMtuZS7ZhMuzetYu7fnQzruOwfPlystnsiG0SXcWa8UfB8VCAXI1WYiEq2uoLQd7QKbgeQSDwEbSZxogibzGNcj9l18OUlZklk2Dcd8zdd9/Npz/9aT75yU9yzDHHTGeb5gWNUW21D++y6/Fyf5Gi55HSVPaXXWwvTA90fAc3CDA1jZQeCoQPOV4yQI8H3rUOPj8InYm1lZtjcj1LOe6Sj6KZ9c4Ft3Znk8QFiraLoUJnysAXAjwfX0BKVclGaRT7Kg6OH3Bsd77uutRWZo2dHLNhkDMb2jBTyH4+/1mzZg2f/vSn0fUj8x6XHD7mgz2pzRyIFETCTAHAiiqQx4Nve5RV/cYxQfy6VjPZbChGBA0p0oqg4vnYvgA8HD/UEu1Km+wuhNEJIgBFVUkrIBRw/YAgqvroRmMEFSg7XuJYNAShzlL/AV7+5U9xqxWstg7WnH8xejqc5MSVnn0RjjVqsxl0xpeePFmcIFxkFYqCJ0RY7TZqk6mAooSFUOJrGkdfqyh0pDQsVQmL2bl+kmoea1bHv0ct481KONKzFw6F+WAbGh3JfSWb/WUHX/gIDHpLoZSBGekb7y/bIA469M1IxmA8eNUKhT076TzqWADU6PkdR/QaikLVCzBUhUxN0UJ5f0rmGvPBNrRi+/bt/Ojmm/BclyXLV3D55ZdhWQfn582yG+K+2yxIINZTXpSxWJJL8cZgideHyhiqQj5vtOz3o/koJJKJMO675uGHH+baa6/llFNO4fjjj+eKK67gIx/5yHS2bU4zWlRbKMbu4QYCS1PQFNA1sFQVRVExogq2aV2j5HioqoIejKzOHCMIxaEHKuEW/S//nuyiJaTauwBGOBGnEi+KkAAFQ1VIpww0VQXC1CchwhDrijuywEptZVbJ7ED286mlMZrpUCNXxhMBU1spflHWIq1r3PuLX7Dk6HV0dHXXabT2RWmXOVOnGEXsmJqKoSoM2V6SnhwXTIGDxaEWZq0kqjhOv6w4HvsrTpKW2WbqBFAXdRwXfrF0jRU11eSm4tzH+n7tdZlNg6b5Gtk0l+xJq9+g1qEXRwFkDS3KBggj7uPU5YqqMGS79JdtHM+viwYYK8WwWbRi/DptaGSjezeI5A3aTJ2S57GnWKU7bbIka5HRNVKaSsENo5OyhsaeUpWqG6CrCqloYbLi+ugqCEUgAmizDExdoRqkaFuwCLtc4oQLLsayMlQDH9eDjBGOTTwRVoNWVZW0rpLVNQ5UnVAv1QltRABkDQXPF1QaoqkMQmdmwMEiKaoCeuToRIQRirUOlrQWirwXHQ9VgUxU6bkzZbAoZ6EAVT/A9gOEELh+QLupo6oKOUOniEfeMliQNkdUwDwUKYQjOXvhUJlLtqEVtZNxCJ3drggwVI2sEcqSxFFE+ypOstCvEDr/dFVBUxVKzcISa/Bdl+0P3kPlwD48u8rC4zbUfw5oergvVVXI6hqqqspK45I5yXywDc145ZVX+OEPf4jneSxbtZoPffjDdU5EmPjiVOMzKNQUV8jp+qjPJfnskkwV476DzjzzTM4880y+8Y1v8MMf/pDvfve7fO5znyMIAu677z5WrFhBPj96qtp0UXY92mbkyK2Jvfv9ZbtOryTWS1mQsUhpKrqqUHZ8Kl6AoinkTY2K76MrKr3FKrqqkjFCbbSKG+ATDrhzhsag7RMACyydnmwKL6jwyu+f5c0nHkEzLY7Z9CGMdFiQIR64BNSLNuuEqUFBE72j+PPaqomxZpEafSela7SnDBZnrUTHqXYiFAQB+8sOaUOj7Hp1qx4ZQ0+uSe1kbD5NpOcas7mfz0Uao5ng0CIDxjPIqK0Ub2oqDz/6S37z6KNYTz3N2z90BWYURRUXcgHIuz4Fx0sKnihAOSqQ0lgwBQ4WTYmjiuPiLvvLdijsLAQooVMl1lHtrinasrdkY2oqbVbrFdPJnPtY34+vSxxJNluYr5Ejc8metPoNmq3Ux/fynmI16UNxkaCqF0RFiPykrzXbT+3rsQoixGlOMWui7+zttym7PrYfsK47z/qFbXX7G7I9/AA8IfD8UIfU8QNcIQj8MJXZ9gMqvk/FB88POOrsd6OIgK58LozA9BS6UqFNGLTDUYIGWKrC0nw6vHaOh+25KOpBncSqF1aKM9TQaacAw04oyaJxMDoyABCQN3Q6dY3+sh06FCNUQFMVyp5PyfMhAMtQ6UmbrGzPJGngO4bKAIntyugaWV1jf8Wh7PksyqjjFouXuonTz1yyDa2onYwP2WGE74K0SYd1MKXQCUQ0BghlfwwlLIJg6Sq2J1AUsHSFkuM3zSoSQcCOX/+CyoF9aKZF29KVQNgvFGq2FwqdKSOMbo4c5ENR8SFZaVwyl5gPtqGR7du384Mf/ADf9zn22GP50Ic+1DQraLzO/8bU5JhFWQsrikge7dkkn12SqUIRQkz6CfPSSy9x7bXXcsMNNzA4OMgFF1zAT37yk6ls36gMDw/T3t7OS7t7OXbp+At6HE6e3zdMX9lmUcZKiqgcqDh01eggPbVngGoQDgyyhoobCBACXxxcsSy7QZ0DMKUSihwKwYKMhQBeefF5Xnn4fgAWHn8ii992+qhtU6J/WlQSrtaRGFeJU6PX8bFTUYGVqhs2OG/qrOvO1xmyRhrPudnn8SQgnhhIRhLf70NDQ7S1HT7X+Uz388kwU9eqkZmOSHz16W08/EBY3fGsd1/EsSe8VUYkMv8iEmfL/T4eZtqetLpWk/kNavtQXExlX8mm4Hj4QrA8nx7huCq7HruGK1Rcn+VtadKGlrxekDGTSKJae9FMX7GvFDrwC46HqSmsbs8mfXWg4lDxfbosEzsI0BQFQ1MpOx4Hqg4iWgRUFYXXX3udwb07WXvqmaGAu+OjKmDoKpYWuivcwMdQVSw9TBMuuT6275PSwoVExw/YX7HxfYGiguuFi42KBppQWJi1EEKwu2Cjq6EjHxE6Nu0gLC7RlTHDtGXPpxB5EuMxSkZXsDSNsufj+AJdhaW5FIuyFntLNq4fkDN18qaOHwh2FysoKCzKWuiKkhSoWtaWaWqTgXH99nMxcljahvFzKNeq8d7YPVzmjaEKaV2lK22iqwo7C1VKroelhrJFVT9AEWEkoydGFjZUheDNbQ+y77WXUDWdDRf9EdkFi1AVBVVR0FAoex6aomDpGms6Mixry7Rsk0RSi7QN4+dQr5Vt29xwww20t7fzgQ98AE1rXiF5rPnyRLeTSCbDRO73Q3Ikxvi+z09/+lO++93vzkjH3rO/n8XdXYftuLU0e1CPVlCkcTIL8PTeIfrLDpYeDgYCIdAVNRkg+EGAG4QRgHF6swlkTA010kN58/VXeeaXd4MQdB2znqUnn42itF7RiKMG1OjvxmjEeACf1hQyhk7J9RAITF2lzTAIEAQCutMm3WkTJxAEQTDC+aAQOkPj95tFAzROxuSApzkz/dCfqX4+GWb6Ws0GHn/8ce6++24ALrzwQjZu3DjDLZJMF3Pxfp/pccN0XqvRBvl7ilVe6i/g+AHL82k602aykJY3dQSM+F6zBcj4NVD3946hMkNR5GCHZZA19eR7z+8bZlehgqmpLMpYvPDSS/z+V/ciAp+Vp7+D5evWU3KDRAvSVEHXVGwvQFMVVrdn6EybvNRfoFD1UNRwESKjawzaLn4QRj4GhI7EULZFZXk+TdHxeLMYPufbUzqLMhbbB0s4QbiAamgqjh/g+QFOcDCCO86mSBkqrh8ki65LcxY5U2f7UBmEYHVHNlmsbby+za5dHCXeeA3n2+RN2obxM1XXqux6bHtzgKGqh6Wr0YKZRm/JDosy+SIaG4fB+3aLWdje321j3/NPgaJw9NsvpG3pKjQVDDUsGOT4AaqikNEVFFVNAhYkkvEgbcP4mYprZds2hmGgqmrLbWShL8lsYCL3+5TcfZqm8f73v5/3v//9E/reli1b2LJlC9u3bwfghBNO4Etf+hKbNm2a0H5mshM1S4eqfW9JLlXnPMsYOqbuJWlHS3IpOlIGThAkA9usoUfpxFqUhhQONgwt1ByCsKpbXlVI6Rq7d7zBs7+6F4SgY/UxLD35bDRFIWOooTB8bZ5QRDxuaUx1hoPRiApgGRpru3PJJKSvbJM19brBSjy4LjneiHRIODg5apVe0awyrWT2Mdl+Pp+Ziod5q31MdN+127/8/O8TJ+K5557L2049jT3F6qiRkWMtiowWATmeqMtWCyy1iw610ZITjR48nAMrOYg7dOayPRnr969NT2pW9XlpLkXF9ZP7vzNlUHH9JLK33dLrvlewXbwgSNKd4v0HQcBA1Y2iDAVLcil6shZZQ2Ow6lL2PNKGVpeCOWhrtJkGva+9zO9/eQ9CBLQvW8XCo47BdsNxSEYL9Y9VRSEIAtKGCkrobAuEYEEUYRVrEepRJWQ3Sp2ueD6KgLxpUPE8dgyXMFQ1ScUsVD0MRUkKRWQNnTZLx/Z9yk5AwQkdoXFRl7aUTnfaZDgaW1mawrJ8ipSuhbp0vkiu2bDtoisKWlTgwvF8sg3XIL6GjRqJUhNxdjCXbQOQVGPPWRoZPRzHZ6OiSmXXwwt8DBUsXSelKQxUXaoNA/H+V54PnYjAilPfTnbpqnDxPwA1CmYKtUUVOlImlq5JvXHJvGcu2YYnnniCSqXCOeecAzBCD7EZUlZDMteY0btw+fLlfO1rX+OYY45BCMH3vvc9Lr30Up566ilOOOGEmWzauGkcWMYaiIaqYHt+KLpeM1jdV7Kxo0GFqSrsKVaTzzw/oK9sUxGQNjQ0BXKGTgUPdDBVFd/3cIgqJgrBgb5envvlzxGBz4IVR7H6zHOxUcJBiqaCgLQa1Ameq0De1Kg6Pi6MSJn2g3BwLwBFhJOVP/QXGLZd8mYo4Bq3u7ZiZUekyRIPZlK6SlrXktSiDjn4lswzpkLbrtU+JrrvePtd21/n7jvvBOCMM87g3HPPZW8UCTGaVuNYiyJjVX8bSweyVcX22kWHWv3GieoZHk6dwfmqaSgZn5N4rN/fCUSyeOY09I+utMnytjRDdujkyxg6ecvADUTiRByyQ4fYYNVNZALi/cb/O0HA7kKVoutR9QIC4ZCPNA9tP6Dq+1Q9QUYPF/f+0F/gzWIVNwgovPEqj90fLj4uXL2WdW8/n4KrJAuIQgkLpjnRwqWihP8POC4HKi4pXSVj6miqGlWwVgiEwBN+qMkYhMorugaeI7ADqHJQnsUFeituIp1ScFyyhoalafT7LrqqUvFCTWiF0EFpaipZU6PkhWOjkuuT0jXShoYThJIKJddnT7GKEJAxNKp+gPDDa95KqzJmvNEfcyUSUTIzxHOAJbkUeVOnvxIWIvKDMJV/VVuGqh/Qbul4gWDY8UKpgCCMBNYJIxXxQmf6iredytJjjqMcdR7dUKJiRwp5Sydr6BiR0zxtNE+XlEgkh5fHHnuMe++9Fwh9HatXr570vuTCtWQ2M6N35CWXXFL3+qtf/SpbtmzhsccemzOOxMZBaViR2Q8Hv4FP2fXrqg/Gk+OV7ZlEhLkrbbJ+YRvP7xvG8YNwsqCEkw5LU8hZBhAOqFXNR4kG9xUvQKRzZLsWomka73jv+9hbdnHdg9GNKJA2dYTjJSueGiR6QntLNnGgYN4IdVviYgk+YEfpyn1lO0kVUlW1Zdn4ZdF57okKxeQtg4FI7HzI9pLPJZL5wFREqLTax0T3HW+3ZNUKli9fTnd3NxdddBGKoowahTPa8cbThvHsu3FftRXb01GkhtKwzeJsqP060fM/HNFCMjJp/jIeJ/FYv3+zz2v7R+MxGos2HKg4+EH4wE4bGh0po64vtFs6AxUVVwkdEm2WQlsU+b+nWKXs+mhKWLxtWT7FkO3xZrHKsO2x/+Xn2fnbhwFYddx6TjjnfIquwFQ93CCKctLAECqaruAjCESY7KwHPlUBJS/ACRxMTUVFIFDw/ABPhIVRVAV0BXKmQUrT6K84ZA2dgutSdCPnJGEhltjxWHQ9lMghqdfIsgig6ga8WayyNJfCVBVKbng+XiAoOj5VLzxfINJyVFmQNketzDwR5MKBZDyEhQPLOEFAp2XQW7IZiCJkbc+h6PqkogrkuwplUBR8r36h3wNEAAuOexuZBYtZsnQJg87BDSquINB8QKCrKpoajdmhrrhTbZukdJBEcvh46KGH+OUvfwnA2WefzapVqw5pf/L5I5nNzJo70vd9brnlFkqlUkstL9u2sW07eT08PHy4mjduGifVpqpQcMIVypyphylMno+pKsnqYRyZqBIVV1EUcobGsO1hez5+PIhXFbKGhhDhgD8IBKZpcMpFl4Tpgn444I6jCrK6hqqCihJWZba9MG3JDEXX2yydnK5SdsP8IUtTIwF2cHxByfExdAWVMPrRjKIlmk2SGlMRWzkNxoNcfZHMFaYivWC0CJmJ7Lt2+yuuuAJN0xKd1PHsq9k2k/3eWNvFFdtjGqUNGqvUjofDmeoh00rmL+NxErf6/VtFro3lkKzdXyVaiOxOm0mEYq3UQJwN0JO16C1Rp7/cV7JZkDaxzSAqlAL7Kw55Qw/TgAcG2PnEIwAc/7aTeOcFF3Kg6qKqHkvzKWzXp7dsk9N1fEKtZlUFDQXbD3BUFRwXX0C7aWBooX3RFIWi66ESFoeDsCibEv3fmTYxNZW0rhL4VaoBtJlhunFfycbQFSxNxVRVbN8jaxhkjYBB2yVnGKRNlVQkTt+VNtEUhQBBSlNZkDFJOSp5M0x/LjheUhgqbWh011y7Vg6VscYccuFAMh6G7PDeM7WDGoZ5Q6PNMjBUhd2FKtUoUymMNxSktHAi5gF2YRg9lcIyTVQVzEU92H69JJClhn1+2HYjrUUxYiGusU2NEf8SiWTqEUKwdetWHnzwQSCUFTr33HNHrVcwHuTzRzKbmfG78tlnn2Xjxo1Uq1VyuRy3334769evb7rtNddcw1e+8pXD3MKJ0WyCEUcemrqWpDA5gaA72rZWY5BI28cX4ApBxfGT/eiaSodlMDw8xP433qD7mPUovmBZR5bOtMlzfUNJ0ZRwvRJSuh5GMjoehqaQMTQUwrQg1fXpyadDHUXHo+KF0ZPdaYtdhQoB4Ikw9cINBKamoKpq03NsTEVckku1dBqMhVx9kUgmRm9vLzt27OC0004DwDCMGW6RRDI3ORQn8XifXaMdI06LVlV1RBpt7f6BOu3hITtMkezOWElRkbjoiG2FWQptnZ0cd847KQ0OsPLUs+grO1FqMrRZBjurLm6UbikAz3eTcUfVDyg7HoqiYGoKlq4m2RYCUBSFtK4hgIrn43k+Fc8PC6gEAj3SdXQD0FRQVYWi64cRWF6Ab0LVDwvLlT2fRRmLtpRZVyQlLkpjaiplz6fqB3SmTbxAkLcMujMWTiASx0mtLMJoDpWxfje5cCBpRa0TOpzop5IJv6WHEkbFaAx9dGeW/RUHsKm4Hildo80K058Hhgu8/qu7MCyL9e/cRCbfhq4q+IEgEB5OAIYCCzIW3WmTTstgf8VhcTaVVGquXWiI79d40aGVo1EikRw6Qgjuu+8+Hn30UQDe/e53c/bZZ0/JvuXzRzKbmfE7c926dTz99NMMDQ1x6623cuWVV/LAAw80dSZeffXVfO5zn0teDw8Ps2LFisPZ3EkxWspg7d8dlo4V6ZxkDQ1LVwkCQYBAiSIS04HLQ/f/nOLQAGlVsPKkk5P0wCW5FGrZxg8C2kyDZfkUqqpiqmGUQNHxyJt6olm4IG2SNsOIwYyhJSupeVPHF4LBqkNnyqQzZZDSVSxdazkQmUwq4kSul0Qy1czVyNfGdvf393PDDTdQKpXQdZ2TTjppxPbjLVzSWBBl13CFtKGxvC096UIwrSKBGvcxmQIrEslsotWzayL9pVXEf1x4JWdo2J5PPqrGXFtkxK8pyNJu6SzNpSi7Hnk1QDNTOH7Akre9LSykpqnkTD3Mcoi2r6RNKp5Pp2XgijArASUsruJGYwLPF2jRoiSAH4gk+nFB2mTIdin4AZam4YkwMrLd0moWMT2ECLVRDUVhb7lKWtPC12qY2lz1fGzPT84vPp84oyNv6InOXLNiKs3GIqM5VOSYQzJZGosrxu/FUcl7itW6RfaUFqbeL85lgbDK+kCpymsP3INbLqJpGlVfwa16GAoYukoQhDIAuqowaIfO/s6UgampDNkenW64GPByf5Gi67Esn06i/GUxQ4lk+nnjjTcSJ+KmTZs4/fTTZ7hFEsnhYcafLqZpsnbtWgBOOeUUtm3bxje/+U2+/e1vj9jWsqymVY/Krsd0Fa4fq5IpMOYEoXZFPF61HLK95PPa7y9ryyT7X55PU3A8Bith1EBWDbjvrtsoDg2Qb2tj6Zq1DFRc9pcOAGEKUZtpoCiQ0jXcQLAoHR7bLQYMVh0GKw6LcinesqgtOTaEA5xYGHr7UBlLU1nRlkk0hpbl0yOqLjdWo2ylvzLaJKrZZ3L1RXI4mKuRr7XtdsulxInY09PD8ccf33T78RYuaSyI0lu2w8UFy5h0IZhWkUCN+5hMgRWJZDbR6tk1kf7SKuI/1lM2dS2sXBxF/kOoizhYDfMR4ud0xtA5pivHPffcw0OvvMLHPvYx8h35EcerzRZImzoLMhZdaRMgiQBMmzprIqdIbeEYBVC0sEhL1tRJmzr7K04UVRlmOJiawsr2TMsiJWu6ciPOddjxGHI8FufTdeOCOKOjtj1F2xlRTKWZLMJoDhU55pBMlkYndDP901rHdp8XZhlVXJ8B26Vku7zx8L9RHexHT6U5fdOlKOksJdfH0FRUQI2KJ+YsA8cPyJlaJG1g40Q65gBFL4x8PLRESolEMlFWr17NBRdcQCqV4uSTT57p5kgkh41ZN3IKgqBOB3E8DNsei6epPWNVMgXGNUFo9Z1m36+tglpwwr/LVYftD/6c4r4+stksZ7/vA/QFJq5bo9LsB5RcG02JnIqWgaWHUQN7ilUKUREWv1hlQTR5aJwU9JVtyq6Priq0W0ZSLKZZRdbJVGsdT6VYieRwMFejUOL2Gp7NDd+/gaGhIbq6urj88stJpUZO1icSLdyober6AWljZCTyRK5dq0igxn1MZVSzRDIWZdej1JAGOF0cqq1pt3Rsz6dgh87CbEOfrO1jQRDwTO8gqhA8+9Avefn55wD4w6uvcfwJJzBkewSR8yHWV2xsp6mGWQtCCHRNIQgC9hSrmKoSOjNj7eeaLIaiE2o6t5k6Fc8PIyd9QVu0eNoYcQzUtaXd0nEDge2F1Zi7UsaI7wWBYF+pSl+pShAEpHQtOefGlM5DjTifqxHrksNLoxM6jpK1Iy3ExkX2RdlwPF31A9qCgBd++yClvjfRdIOz3nspyxYtwPYD8n5APooY3l92Eu1RX1dZnk/TnQkzkfpKdmIXFqQtUprKwnHqkUskksnj+z6u6ybj7rPOOmuGWySRHH5mdHR09dVXs2nTJlauXEmhUOCmm25i69atScn08dI2jZPO8VYybZaG1KhT4kQTAdsPEEIQBAFuIMgZoY7K9sESCiRaQu2WTiAEgyWPHY/8G8V9vRiWxYYL34efypF2vbDcYeTpS+sKWcPAC8IBSEeUFlRxfdJ6mLqsq2F1x/jYhqqEGkp+gB8IENBm6nSkjEQsPZ4oNFY/bCwsM5EKluP5TCKZTuZqFErG0FF9j+/d+AP6+/tpa2tj8+bN5HK5ltuPt3DJaAVRWm03nn02iwRq3MdkCqxIJJNl2PZwg8OziHWotiZj6Fj6wcjele2ZEX0n7mPP7xtmT6HMK4/8iv7tr4CicNo7L2Tp2nXJwl3J8ShHkVG1fTxuZxzhWPUD0orGkB1qJsZ6hRBGPpZcn7ylJdqE8cLigkzo1EwZJNGCjSmeQF1bipEuY8ULxyvdGWvE9xSgYPsECuwuVFnRnkFA0r74HODQFynlIufcY8uWLWzZsoXt27cDcMIJJ/ClL32JTZs2HbY2ZAwdU48CAKKF+Pj92s+Lrs9L235N32svo6gqG99zCT2LlzBQdZM+kLeMULJIVdkxVE7er406brQLrSJ/JRLJ1OH7PrfeeivDw8NcccUVTRfxJZIjgRkdHfX19bF582b27NlDe3s7GzZs4N577+WCCy6Y0H6mc5DXbALQbAJcS7MBaDx42Fuyk8FA7eC8ViA8b+qJ2LoCvPTw/Qzv3Y2mG7zlXRdjp9vxqg4ZUycfaROldY2V7aHgcpwCVavXYmgqCzJWsu/42HHhlVgUHWBRNs36hW1JGlM8URjPtRnvNZzoPiQSSYjv+9x8883s3buXTCbD5s2baW9vn+lmSSRzijZLR1jmnFnEGi1it3bxcoGl8dAj99O//TUUVeWi9/0RK49ZV/edDktnf9lBVxXKrlcXxddXsnH8gI6UQSehDpuhKkn0YBz517gIaKoKfnCwsEpt1emy6yVahkXX581ChcXZMIW6I5J6SWkqvWUbhEgiLstuGOUY68EZqoIbBFRcnwU1+onNFjOnIgr0UL4vOfwsX76cr33taxxzzDEIIfje977HpZdeylNPPcUJJ5xw2NphqgqeHxAIgaoqiW5pTLulUy2X2fXySwCcct4FrD16DTlTR1cVNBt0RaEvigI2VYW0rpI1NHKRrvkbgyUEYKgKqUhb3VSVEZG5EokkLNZ622238eKLL5JOpznrrLP4+te/zrp16ya8L9d1ueWWW3j55ZfRNI29e/eyevXqqW90AzJKXjIbmdE78dprr53Jw08btYPb2oe6qSqkosFA3tTxA8Heko3jhVooWjQgCITAFyIaPGh0LlnO0Js7edcf/X/0LFvBjkIFx/cxFIW2lIHnB1R8P0n18YOAPYUKbxYq5EydBWmTjpSB7fm0WzqqqibpRCrgBwHtpo6uqUnUYtn1Rh1IS4MmkcwMmqaxbt06+vr6uOKKK+ju7q77PO6brdIXx6JR+7Q29TB2DMTFUQ63DZB2RzJVZAydtjkUvTNaxG68eOm5Lg/87E72bn8NTdP48Ic/zLHHHjtiPxAuVB6oOAzZXl0UX7Popj3F6ojIvyW5VF0fdAJBxQuShdLaqtN7ilWKro+qKFQ9n2E/IK1rrF8YajUvi7axCxWcQKAqShKNWHL9uoXRuN1pU5/WRUq5yDn3uOSSS+pef/WrX2XLli089thjh9WR6ASCqh+MiCCMyRg6Ry3q4v1/fAW/e/ElFqw5FlM/GNnrBiKK1PUwSiqdaRNNVesqmO+tCTzQIx3jOCo4PoZEIgl54IEHuOqqqzjttNPwPI8vfOELXHjhhTz//PNks9lx78dxHO644w5ef/11dF3nIx/5yGFxIoKMkpfMTuSdOA3UpgfVdnonEOg1g4Hn9w1TdD2Kbpg+nNY1VD3UHoKDg5EV6zew/rjjOeWopUCorbKrUMEVggUZi4GKw5ATTrBVVaXiBQzZLl4gKDgebZZBm2VwIBDJ4D6eGAw7Hk4g6IgG9XGbh2xvxEShFmnQJJKZ46yzzuJtb3tb0wHQWOmLY9GofVqbepg1D0ZYz4QNkHZHIhlJvNinezaDg4MYhsFHPvIR1qxZM+Z3xlPZeDwyJnHEZNUPSGlqy+/rqkLF8+lp0HGLq0xX3IOfjVdaRiJpxPd9brnlFkqlEhs3bmy6jW3bdZrsw8PDEz5OKymjnqyVaIjW3quu62IYBgDLFnZhZE7G8QMcz69bwI8jddstvWlF9s6UQcX16xb4YmTfkEjqueeee+peX3/99SxatIgnnniCd7zjHSO2b2UbfvSjH7Fv3z5M0+SP//iPWbVq1fQ2vAb57JPMRuTdOI00KyZQ+39P1sL1AzRVwdTUsCpbJK784rPPsPZtb00G1D3Zg3Wp4+/FRRDiwUVPNhRfXpy1yBhaVN1NH3UQHg9WRhu4j+fcJBLJ9CGE4NFHH+Xkk09OtFharaK26tvjpdFpUDuhqZ2wzIQNkHZHMt8ZLeq29jOAvpKNAizMWlHEXorNmzczNDTEihUrxtx/rZ5a/P6imsIQMeOJzosjJvvLNr0lm5zrN41cjhc1+ss2v+sdxNI1FkTyLsvbwirN/WWbZ/YOkja05L2JtGWs6yiZvzz77LNs3LiRarVKLpfj9ttvZ/369U23veaaa/jKV75ySMdrJWXUTBd47969fP/73+fiiy/m+OOPT7aLF/DNhgX8OFJ3sFoF6iuyxxXMayN/a9sgkUhaMzQ0BEBXV1fTz1vZhp07d9LR0cFll13G8uXLp7WNjcgoeclsRN6Rk2Q8g9S405ddjzcGS9jR6iTRJKA7E6Yc1qYi9pZsXnn6tzz164f4w++e5v2XbaYna1FwPIqOd7AamwKOH/DaQAk/GoDH+4Iw3SGeEDRra23b3EBQrImCHGvgXZv6OGR7yf4kEsnUI4Tg3/7t33jsscf4/e9/z8c//nFUVW25fe1gY9kkjtdssNJsPzMxqJEDKcl8Z7So29rPAHpLNk6lwpuv97PxpA0AtLW10dbWRita7X+qon17SzZ95TCSoztjtdxvb8lmb8nG1FT8QNQVpegt2fSWw8/yliGLpUjGzbp163j66acZGhri1ltv5corr+SBBx5o6ky8+uqr+dznPpe8Hh4ebumAb0at9udoi1tl12PXvn5+cvONlEolHn/8cVYevZZhxw8roNsuXhRxGDviY0mSxijh2vF3V3ruaLxKJLOFIAj47Gc/y9lnn81b3vKWptu0sg3pdJrNmzezZMmSw9VciWRWI59Ak2Qig9Qhu77IiqVrTQfwJcfjleee4eXHHgJg4ZpjGXYDCq6dpDubusZAxUl0jOL0Q0NTk0F7bWXEsVIQazWR8k0qzI127vGxx3MNJBLJ5HjwwQd57LHHADjttNNGdSJKJJJD43BEso12jNGibhs/ywuXf/v5bQwPDtCRMjj++OPHPF4rDedmx23VzrLrsa9kJ2nMOTOUbolTlzstY8wsh56shRcEWLqGoSjsrzikNTVpk+tbSdbFZJDRy0cmpmmydu1aAE455RS2bdvGN7/5Tb797W+P2NayLCxrYhH7tQzZYfXluDJ5K3oHC9x1648oFYssXLiQD3/4www6fjKOrpUzGqg4dY74xujGOHqxVjdUIpGMn6uuuornnnuOhx9+uOU2rWzDZZddJp2IEkkNcoQ1SSYySI21g+wmeim1+9j32ku8/NiDABx/yumcffZZqKqKqSpkDC1ZkTSjyoWaEqY0+4GoG7Q3VnYca2ISr3bGk4HxpjWPppckkUgOnccee4ytW7cC8J73vIcTTzxxRtvTSKOjYSqdMJPdl0xplBwKhyOSbbRjjLeAyODgIL+47YcMDQzQ1tbGokWLxnW8OHWyUcO52XFHi16sXRyNFyHjxcVFuVSSwtzqfOKMDIDn9w1T9nz2VxyyfkBX2uRtiztans94kNHLEgijj2q1zqaS8cwDXNflvjtvozBwgFw+z+WXX046nUZE2UO1uqGmqtTIGVlNn6+255OrqWoun3USyfj5sz/7M+666y4efPDBSaUmL1y4cBpaJZHMXY74J0+8si6gThtorAf0RAapraot1h5jaNd2Hrz3bgDWvOVtnPX2dyRORCcQdW2r1Rka7VyAZHW/ceWy9tirO8ZfsSo+vhy0SCTTy9NPP829994LwHnnnccZZ5wxwy0aSaOjYSqdMJPdl0xpnN9s2bKFLVu2sH37dgBOOOEEvvSlL7Fp06Yp2f/hiGQb7RjjcQ709/fzr//6rwwPD9PZ2cnmzZvp6OiY0PHGc56ttokXLPsrDrbvk9JUNFVpWmilsQp8s/OqXQhtLBwhkYyXq6++mk2bNrFy5UoKhQI33XQTW7duTZ6jU81YY+EgCLjtttvYs3sXhmXxng98KJEdqP1uXKnZCQRLapzwjc7+IdtLqpg3WwyQSCTNEULwqU99ittvv52tW7dy1FFHzXSTJJJ5wRH/5GmWChy/f7iiEnbveIN7brsVIQQ9R69j0Yln8mbRJmvqE0ofbjwXYFxaS3IAIplOrrnmGm677TZefPFF0uk0Z511Fl//+tdZt25dy+9cf/31/Mmf/Ende5ZlUY1Ex+c7L774Ij/5yU8AOPPMM5tWlZsNjFVQair3Pd3fk8wNli9fzte+9jWOOeYYhBB873vf49JLL+Wpp57ihBNOOOT9H46FstGOMdazua+vjxtuuIFisciCBQu44oorRtVEbHW88RZQabWQuqpDp+T6DDseVT+g0zQpuj6m1Vy6ZbSxTG10okQyWfr6+ti8eTN79uyhvb2dDRs2cO+993LBBRdM+7GbLQA888wzvPjii6iaxjveeynZji7KrjeqnEEzGYLx/i+RSJpz1VVXcdNNN3HnnXeSz+fZu3cvAO3t7aTT6RlunUQydzninz7NUoHh8EYl+F0dZLNZepYs4aR3bcINBN1psy4icSIp1K3Opdmx5QBEMt088MADXHXVVZx22ml4nscXvvAFLrzwQp5//vmWlYchLBrw0ksvJa+VKJX/SKC7u5tcLsfatWu58MILZ+25NzoaptIJM9l9yYjp+c0ll1xS9/qrX/0qW7Zs4bHHHpsSR+JMM9qzeXh4mOuvv55KpUJPTw9XXHHFqDZ0uqlNw0wb4eJlK+kWKYUimW6uvfbaGTt2swWAE088kdd2vUluYQ9dS5ZRcn2G7JGOxNpnVm2UYW0F58btmr2WSCTN2bJlCxBm99Ry3XXX8bGPfezwN0gimScc8U+gVmnHk3lAN1uRrH0PqPs8OUYuxcc//nEymQy6PvKYu4fLPL13kDbLYE1ntmX6dbNzaRRIb2yfrLosmW7uueeeutfXX389ixYt4oknnhg10k5RFBYvXjzdzZuVLFy4kE984hNks9lZ60SUSGYa3/e55ZZbKJVKbNy4sek2tm3XaaQNDw8fruZNitHGHvl8nre+9a3s3r2byy677LBEUpRdj76SjQIsrJFYgZGRhOORgSm7HnuK1VFTnSWSuUazBQBFUdj0notGpPZPdD8SieTQEEKMvZFEIpkw8kk1hTRbkax9Dw6mGleGhxgcHOToo48GGDU1aXehSn/Vpej6SRW3VsebSPtkerNkJhgaGgKgq6tr1O2KxSKrVq0iCAJOPvlk/u7v/q5lxNFccxY0Y+/evVQqlUS7JZ/Pz3CLJJLZybPPPsvGjRupVqvkcjluv/121q9f33Tba665hq985SuHuYXTg6IovOc978HzPAzDOCzHHLI9eiPJFFPXDnmsMJ5UZ4lkrhE7zF955RWee+45LrnkEjRNm3BQgowylEgkEslcQZ3pBswn2i2drrQ5Iq04fi/+W6mW+Nd//VduuukmXnnllTH3uyyfojtlsDSXarnvybRvot+XSA6VIAj47Gc/y9lnn81b3vKWltutW7eO7373u9x55518//vfJwgCzjrrLHbt2tV0+2uuuYb29vbk34oVK6brFKaMODKn7Hr09/dzww03cOONN/L666/PdNNaUttmiWSmWLduHU8//TS/+c1v+OQnP8mVV17J888/33Tbq6++mqGhoeTfzp07D3NrD42XX36ZH/7wh3he2OcURTlsTkQIxwk9WYvFWWtSY4VGmxGPO3qylhx/SOYVb775Jj/60Y945plneOyxx2a6ORKJRCKRTCtyBDcK46me2Cy9OB44174XE9hVrrv5JoaHh+nu7mbJkiVN9wUH06CXtWVY1pahv2yzfbCc6BGN1bZGRtNXGc+5SiSHylVXXcVzzz3Hww8/POp2GzdurEtVPOusszj++OP59re/zd/+7d+O2P7qq6/mc5/7XPJ6eHh41jsT48ic4vAwd/3wRsrlMosXL66zCbMNGcUsmQ2YpsnatWsBOOWUU9i2bRvf/OY3+fa3vz1iW8uysKy5Wcjj+eef58c//jFBEPCb3/yGs88++7C3IWPorG4i/zJeGm2GjLiSzEcOHDjATTfdhOu6rFmzhjPPPHOmmySRSCQSybQiR3OjMJ5J81jpzLXfq1QqfP/73+fAgQO0t7ezefPmOqH0VmnQ8T56SzZ95TDFqDNtTumEXjoIJNPNn/3Zn3HXXXfx4IMPsnz58gl91zAMTjrppJYRvHPRWdBu6ZRLJX724x8yPDzMggULuPzyy0mlUjPdtJZI/SbJbCQIgjppg/nA7373O+644w6EEJxwwglz1jEhbYZkvlMqlbjxxhsplUosXryYD3/4w2iaNtPNkkgkEolkWpEju1EYzwC42TbN3nMch5tuuone3l5yuRybN28eoYs42r5gfBUSJ4sc7EumCyEEn/rUp7j99tvZunVrogE4EXzf59lnn+W9733vNLRwZlA8l/tuv4WBaGFhpiuwjgcZTSSZaa6++mo2bdrEypUrKRQK3HTTTWzdupV77713pps2ZTzxxBPcddddQFj59ZJLLkFVQyWa2Z490CxLYza2UyKZCuKx/YEDB+jo6OCyyy6bc4uaEolEIpFMBjm6G4XxDICbbdP4nud5/OAHP2DXrl2kUikuv/zypoUmmqUe1zKeComTRQ72JdPFVVddxU033cSdd95JPp9n7969ALS3tydVRzdv3syyZcu45pprAPibv/kbzjzzTNauXcvg4CD/8A//wBtvvMF//I//ccbOYyqpXVjIZrNNFxYkEslI+vr62Lx5M3v27KG9vZ0NGzZw7733csEFF8x006aERx99lH/7t38D4LTTTmPTpk11ldtne/bAbG+fRDKV3H777bz55puk02kuv/xycrncTDdJIpFIJJLDghzlTSGtIgVUVaWtrQ3TNLn88svp6ek55H0e6rYSyeFiy5YtAJx33nl171933XV87GMfA2DHjh1JxA3AwMAAn/jEJ9i7dy+dnZ2ccsop/PrXv25ZmXWuoWkaHR0d7N+/nyuuuGLMCtYSiSTk2muvnekmTBvFYpGtW7cCoS7su9/97jonIsz+7IHZ3j6JZCo5/fTT2bVrF//+3/97uru7Z7o5EolEIpEcNhQhhJjpRkyW4eFh2tvbGRoamhXRPHuKVQ5UHLrSJkty9TpnQgj6+/tZsGDBlO3zULaVzD1m2/0+m5kL1yoIAgYHB6UTUXLIzIX7fbYw26/Vjh07eOONNzjnnHNGOBElkoky2+/32cRkr5Xruoe1krpEMhVI2zB+5LWSHElM5H5XR/1UMiHaLZ2utEm7pSOE4He/+x1BEACgKMqEnYiN+5zKbSUSyeFFCMEzzzyT2ARVVaUTUSI5whFCMDAwkLxeuXIlb3/726UTUSKZpTzzzDP09fUlr6UTUSKRSCRHItKROIVkDJ0luRQZQ+f+++/n9ttv57bbbuNQgj5r9zmV20okksOHEIJ77rmHO+64g5/85Ccz3RyJRDILCIKAn/70p3znO9+ht7d3ppsjkUjG4MUXX+TOO+/kuuuuY3BwcKabI5FIJBLJjCEdidPAQw89xCOPPAJA19LlVDy/7vOy67GnWKXsehPa72S/J5FIZpatW7fy+OOPA7BmzZoZbo1EIplpgiDgjjvu4KmnnsK27boIJ4lEMvvYsWMHP/7xjxFCsH79etrb22e6SRKJRCKRzBgydG2Kefzxx/nlL38JwBnvOI+eY9YzZHt1UYKTrWooqyFKJHOPX//61zz44IMAvPe972XDhg0z3CKJRDKTeJ7Hj3/8Y1588UVUVeUDH/gAJ5xwwkw3SyKRtGDfvn3cfPPNeJ7Hsccey8UXXyzlByQSiURyRCO9UVPIM888w9133w3A29/+ds485+ykinItk61qKKshSiRziyeffJL77rsPgHe+852cdtppM9wiiUQyk7iuy49+9CNeeeUVNE3jwx/+MMcee+xMN0sikbSgUChw4403Uq1WWbZsGR/84AdRVZnQJZFIJJIjG+mRmiJeeOEF7rzzTgBOP/10zj//fBRFaRo5mDH0SUUUTvZ7Eonk8PP73/+en/70pwCcddZZnHPOOTPcIolEMpM4jsPNN9/M9u3bMQyDj3zkI1LqQCKZxVSrVW688UaGhobo6urij//4jzFNc6abJZFIJBLJjDOnvVJxEZPh4eEZbkk42HBdl/Xr13PWWWdRKBQO6/HLrsew7dFmSWfjfCW+zw+leM+RwmywDbFNeOtb38rpp59+2G3CfEHatrGRtmH8zKRtcF2XSqVCEARceumlLFiwYFaMX2YDsp9PD9I2jJ9mtqFarQKgaRp/9Ed/hOd54+6z8p6WzGakbRg/0zFukPZBMluZiG1QxBy2ILt27WLFihUz3QyJ5LDy6quvyiiWMZC2QXIksnPnTpYvXz7TzZjVSNsgORKRtmFspG2QHIlI2zA20jZIjkTGYxvmtCMxCALefPNN8vn8lIoeDw8Ps2LFCnbu3ElbW9uU7fdIRF7LqWNoaIiVK1cyMDBAR0fHTDdnVjMZ2yDv1YPIa1HPbL8eQggKhQJLly6V2l1jMF3jhsPBbL8PJ8t8PS+Y+XOTtmH8zGXbMBlm+t6cjRxJ10TahvET2wYhBCtXrpw398d8ut/n07nAzJ7PRGzDnI6lVVV1WldR2tra5sXNOBuQ13LqkA/8sTkU2yDv1YPIa1HPbL4e7e3tM92EOcF0jxsOB7P5PjwU5ut5wcyem7QN42M+2IbJMJ/73WQ5Uq6JtA3jI7YNccrnfLs/5tP5zKdzgZk7n/HaBumRkEgkEolEIpFIJBKJRCKRSCRjIh2JEolEIpFIJBKJRCKRSCQSiWRMpCOxCZZl8dd//ddYljXTTZnzyGs5dchrOb3I63sQeS3qkddDMhuYr/fhfD0vmN/nJpnbyHtzJPKaSEZjvt0f8+l85tO5wNw5nzldbEUikUgkEolEIpFIJBKJRCKRHB5kRKJEIpFIJBKJRCKRSCQSiUQiGRPpSJRIJBKJRCKRSCQSiUQikUgkYyIdiRKJRCKRSCQSiUQikUgkEolkTKQjUSKRSCQSiUQikUgkEolEIpGMiXQk1nDNNddw2mmnkc/nWbRoEe9///t56aWXZrpZc56vfe1rKIrCZz/72Zluypxk9+7dXH755XR3d5NOp3nrW9/Kb3/725lu1rxA9vl6tmzZwoYNG2hra6OtrY2NGzdy9913z3SzZgXSjklmiiOlX86XPvblL38ZRVHq/h133HEz3SyJpCnzpd8dKnKsLWnGfJ8nzIf+P1/6ru/7fPGLX+Soo44inU5z9NFH87d/+7fM5rrI0pFYwwMPPMBVV13FY489xn333Yfrulx44YWUSqWZbtqcZdu2bXz7299mw4YNM92UOcnAwABnn302hmFw99138/zzz/OP//iPdHZ2znTT5gWyz9ezfPlyvva1r/HEE0/w29/+lne+851ceuml/P73v5/pps0o0o5JZpIjoV/Otz52wgknsGfPnuTfww8/PNNNkkhGMN/63WSRY21JK+bzPGE+9P/51He//vWvs2XLFv7P//k/vPDCC3z961/n7//+7/mnf/qnmW5aSxQxm92cM8y+fftYtGgRDzzwAO94xztmujlzjmKxyMknn8w///M/89//+3/nxBNP5Bvf+MZMN2tO8Vd/9Vc88sgjPPTQQzPdlCMC2edH0tXVxT/8wz/w8Y9/fKabMiNIOyaZjcynfjnf+tiXv/xl7rjjDp5++umZbopE0pL51u8OBTnWloyX+TJPmC/9fz713fe973309PRw7bXXJu998IMfJJ1O8/3vf38GW9YaGZE4CkNDQ0A4YJdMnKuuuoqLL76Yd7/73TPdlDnLT37yE0499VQ+9KEPsWjRIk466ST+3//7fzPdrHmL7PMH8X2fH/zgB5RKJTZu3DjTzZkxpB2TzCbmY7+cj33s5ZdfZunSpaxZs4bLLruMHTt2zHSTJJI65mO/myxyrC0ZL/NlnjBf+v986rtnnXUW999/P3/4wx8AeOaZZ3j44YfZtGnTDLesNfpMN2C2EgQBn/3sZzn77LN5y1veMtPNmXP84Ac/4Mknn2Tbtm0z3ZQ5zWuvvcaWLVv43Oc+xxe+8AW2bdvGpz/9aUzT5Morr5zp5s0rZJ8PefbZZ9m4cSPVapVcLsftt9/O+vXrZ7pZM4K0Y5LZwnztl/Oxj51xxhlcf/31rFu3jj179vCVr3yFt7/97Tz33HPk8/mZbp5EMi/73aEgx9qS8TBf5gnzqf/Pp777V3/1VwwPD3PcccehaRq+7/PVr36Vyy67bKab1hLpSGzBVVddxXPPPSd1bSbBzp07+cxnPsN9991HKpWa6ebMaYIg4NRTT+Xv/u7vADjppJN47rnn+Na3vjXnDORsR/b5kHXr1vH0008zNDTErbfeypVXXskDDzwwL5wWE0HaMclsYj72y/nax2qjBzZs2MAZZ5zBqlWr+NGPfjQvUtElc5v52u8OBTnWloyH+TBPmG/9fz713R/96EfceOON3HTTTZxwwgk8/fTTfPazn2Xp0qWz91yEZARXXXWVWL58uXjttddmuilzkttvv10AQtO05B8gFEURmqYJz/NmuolzhpUrV4qPf/zjde/98z//s1i6dOkMtWh+Ivt8a971rneJ//Sf/tNMN+OwI+2YZDYzH/rlkdTHTj31VPFXf/VXM90MieSI6nfjRY61JWMxX+YJ863/z6e+u3z5cvF//s//qXvvb//2b8W6detmqEVjIyMSaxBC8KlPfYrbb7+drVu3ctRRR810k+Yk73rXu3j22Wfr3vuTP/kTjjvuOD7/+c+jadoMtWzucfbZZ/PSSy/VvfeHP/yBVatWzVCL5heyz49NEATYtj3TzTjsSDsmmc3Mh355pPSxYrHIq6++yhVXXDHTTZFIjph+NxHkWFvSivk2T5hv/X8+9d1yuYyq1pcv0TSNIAhmqEVjIx2JNVx11VXcdNNN3HnnneTzefbu3QtAe3s76XR6hls3d8jn8yO0I7LZLN3d3XNaU2Im+PM//3POOuss/u7v/o4Pf/jDPP7443znO9/hO9/5zkw3bV4g+3w9V199NZs2bWLlypUUCgVuuukmtm7dyr333jvTTTvsSDsmmS3M1345X/vYX/zFX3DJJZewatUq3nzzTf76r/8aTdP46Ec/OtNNk0jmbb87FORYW9KK+TZPmG/9fz713UsuuYSvfvWrrFy5khNOOIGnnnqK//k//yf/4T/8h5luWkukI7GGLVu2AHDeeefVvX/dddfxsY997PA3SHLEc9ppp3H77bdz9dVX8zd/8zccddRRfOMb35jVwqtzCdnn6+nr62Pz5s3s2bOH9vZ2NmzYwL333ssFF1ww002TSI5YZL+cW+zatYuPfvSj9Pf3s3DhQs455xwee+wxFi5cONNNk0gkTZBjbUkr5DxhdjOf+u4//dM/8cUvfpE//dM/pa+vj6VLl/Kf//N/5ktf+tJMN60lihBCzHQjJBKJRCKRSCQSiUQikUgkEsnsRh17E4lEIpFIJBKJRCKRSCQSiURypCMdiRKJRCKRSCQSiUQikUgkEolkTKQjUSKRSCQSiUQikUgkEolEIpGMiXQkSiQSiUQikUgkEolEIpFIJJIxkY5EiUQikUgkEolEIpFIJBKJRDIm0pEokUgkEolEIpFIJBKJRCKRSMZEOhIlEolEIpFIJBKJRCKRSCQSyZhIR6JEIpFIJBKJRCKRSCQSiUQiGRPpSJxFfOxjH+P9739/8vq8887js5/97GFvx9atW1EUhcHBwZbbKIrCHXfccdjaJJEcyUjbIJFImiFtg0QiaYa0DRKJpBnSNkimCulIHIOPfexjKIqCoiiYpsnatWv5m7/5GzzPm/Zj33bbbfzt3/7tuLYdT2eUTI6ZMrCS2Y20DRJpGyTNkLZBIm2DpBnSNkikbZA0Q9oGyVy0DfpMN2Au8J73vIfrrrsO27b5+c9/zlVXXYVhGFx99dUjtnUcB9M0p+S4XV1dU7IfiUQyPUjbIJFImiFtg0QiaYa0DRKJpBnSNkjmGjIicRxYlsXixYtZtWoVn/zkJ3n3u9/NT37yE+BgePBXv/pVli5dyrp16wDYuXMnH/7wh+no6KCrq4tLL72U7du3J/v0fZ/Pfe5zdHR00N3dzX/9r/8VIUTdcRs907Zt8/nPf54VK1ZgWRZr167l2muvZfv27Zx//vkAdHZ2oigKH/vYxwAIgoBrrrmGo446inQ6zdve9jZuvfXWuuP8/Oc/59hjjyWdTnP++efXtXO8PPvss7zzne8knU7T3d3Nf/pP/4lisZh87nken/70p5Pz/fznP8+VV15ZF1rdjEceeYTzzjuPTCZDZ2cnF110EQMDA8n1+PSnP82iRYtIpVKcc845bNu2Lfnu9ddfT0dHR93+7rjjDhRFSV5/+ctf5sQTT+SGG25g9erVtLe385GPfIRCoQCEv+8DDzzAN7/5zWSlaPv27QwMDHDZZZexcOFC0uk0xxxzDNddd92Er5tkbiNtw9hI2yBtw5GItA1jI22DtA1HItI2jI20DdI2HIlI2zA20jbMLtsgHYmTIJ1O4zhO8vr+++/npZde4r777uOuu+7CdV0uuugi8vk8Dz30EI888gi5XI73vOc9yff+8R//keuvv57vfve7PPzwwxw4cIDbb7991ONu3ryZm2++mf/9v/83L7zwAt/+9rfJ5XKsWLGCH//4xwC89NJL7Nmzh29+85sAXHPNNfzrv/4r3/rWt/j973/Pn//5n3P55ZfzwAMPAKEB+sAHPsAll1zC008/zX/8j/+Rv/qrv5rQ9SiVSlx00UV0dnaybds2brnlFn7xi1/wZ3/2Z8k2X//617nxxhu57rrreOSRRxgeHh5T8+Dpp5/mXe96F+vXr+fRRx/l4Ycf5pJLLsH3fQD+63/9r/z4xz/me9/7Hk8++SRr167loosu4sCBAxNq/6uvvsodd9zBXXfdxV133cUDDzzA1772NQC++c1vsnHjRj7xiU+wZ88e9uzZw4oVK/jiF7/I888/z913380LL7zAli1bWLBgwYSOK5l/SNtQj7QN0jZIQqRtqEfaBmkbJCHSNtQjbYO0DZIQaRvqkbZhFtoGIRmVK6+8Ulx66aVCCCGCIBD33XefsCxL/MVf/EXyeU9Pj7BtO/nODTfcINatWyeCIEjes21bpNNpce+99wohhFiyZIn4+7//++Rz13XF8uXLk2MJIcS5554rPvOZzwghhHjppZcEIO67776m7fzVr34lADEwMJC8V61WRSaTEb/+9a/rtv34xz8uPvrRjwohhLj66qvF+vXr6z7//Oc/P2JfjQDi9ttvF0II8Z3vfEd0dnaKYrGYfP6zn/1MqKoq9u7dK4QQoqenR/zDP/xD8rnneWLlypV159vIRz/6UXH22Wc3/axYLArDMMSNN96YvOc4jli6dGlyXa+77jrR3t5e973bb79d1N72f/3Xfy0ymYwYHh5O3vvLv/xLccYZZySva3+HmEsuuUT8yZ/8Scu2S+Y/0jY0R9oGaRuOdKRtaI60DdI2HOlI29AcaRukbTjSkbahOdI2zG7bIDUSx8Fdd91FLpfDdV2CIOCP//iP+fKXv5x8/ta3vrVOp+CZZ57hlVdeIZ/P1+2nWq3y6quvMjQ0xJ49ezjjjDOSz3Rd59RTTx0Rbhzz9NNPo2ka55577rjb/corr1Aul7ngggvq3ncch5NOOgmAF154oa4dABs3bhz3MeJ9vO1tbyObzSbvnX322QRBwEsvvUQqlaK3t5fTTz89+VzTNE455RSCIGi536effpoPfehDTT979dVXcV2Xs88+O3nPMAxOP/10XnjhhQm1f/Xq1XW/1ZIlS+jr6xv1O5/85Cf54Ac/yJNPPsmFF17I+9//fs4666wJHVcy95G2YXSkbZC24UhF2obRkbZB2oYjFWkbRkfaBmkbjlSkbRgdaRtmn22QjsRxcP7557NlyxZM02Tp0qXoev1lq72hAYrFIqeccgo33njjiH0tXLhwUm1Ip9MT/k6sGfCzn/2MZcuW1X1mWdak2nE4mcw516Kq6ghD6bruiO0Mw6h7rSjKqAYHYNOmTbzxxhv8/Oc/57777uNd73oXV111Ff/jf/yPQ2qzZG4hbcPMIG2DZLYjbcPMIG2DZLYjbcPMIG2DZLYjbcPMIG3D5JEaieMgm82ydu1aVq5cOaJTN+Pkk0/m5ZdfZtGiRaxdu7buX3t7O+3t7SxZsoTf/OY3yXc8z+OJJ55ouc+3vvWtBEGQaA00Eq9QxPn8AOvXr8eyLHbs2DGiHStWrADg+OOP5/HHH6/b12OPPTbmOdZy/PHH88wzz1AqlZL3HnnkEVRVZd26dbS3t9PT01MnTOr7Pk8++eSo+92wYQP3339/08+OPvpoTNPkkUceSd5zXZdt27axfv16IDSihUKhrl1PP/30hM4Nwmtbe11jFi5cyJVXXsn3v/99vvGNb/Cd73xnwvuWzG2kbRgdaRukbThSkbZhdKRtkLbhSEXahtGRtkHahiMVaRtGR9qG2WcbpCNxGrjssstYsGABl156KQ899BCvv/46W7du5dOf/jS7du0C4DOf+Qxf+9rXuOOOO3jxxRf50z/9UwYHB1vuc/Xq1Vx55ZX8h//wH7jjjjuSff7oRz8CYNWqVSiKwl133cW+ffsoFovk83n+4i/+gj//8z/ne9/7Hq+++ipPPvkk//RP/8T3vvc9AP7Lf/kvvPzyy/zlX/4lL730EjfddBPXX3/9hM83lUpx5ZVX8txzz/GrX/2KT33qU1xxxRX09PQA8KlPfYprrrmGO++8k5deeonPfOYzDAwM1FU0auTqq69m27Zt/Omf/im/+93vePHFF9myZQv79+8nm83yyU9+kr/8y7/knnvu4fnnn+cTn/gE5XKZj3/84wCcccYZZDIZvvCFL/Dqq69O6tzia/+b3/yG7du3s3//foIg4Etf+hJ33nknr7zyCr///e+56667OP744ye8b8mRhbQN0jZIJM2QtkHaBomkGdI2SNsgkTRD2gZpG2acmRJnnCvUip9O5PM9e/aIzZs3iwULFgjLssSaNWvEJz7xCTE0NCSECMVOP/OZz4i2tjbR0dEhPve5z4nNmze3FD8VQohKpSL+/M//XCxZskSYpinWrl0rvvvd7yaf/83f/I1YvHixUBRFXHnllUKIULD1G9/4hli3bp0wDEMsXLhQXHTRReKBBx5IvvfTn/5UrF27VliWJd7+9reL7373uxMSPxVCiN/97nfi/PPPF6lUSnR1dYlPfOITolAoJJ+7riv+7M/+TLS1tYnOzk7x+c9/XnzoQx8SH/nIR1oeQwghtm7dKs466yxhWf9/e3eIqzoQBmB0HuamjrABDKYKRUJSgcSQ4BDsgVV0ARgUih3gCSvAojA0rIJgmOtIyJ33qm4hj3NcRZNpxSf+dKZfsd1ux/F4/FjX9XqNi8Xi8Y6LooiHw+Hp/u12G3u9XsyyLE4mk7her38cftrv95/uWS6XsdvtPq5Pp1McDocxy7IYQohVVcWyLGOe5zHLstjpdOJ0Oo3n8/mfz8L/RRvStEEbPp02pGmDNnw6bUjTBm34dNqQpg3v3YY/Mf7ltE34Rff7PeR5HmazWSjL8tXLAd6ENgAp2gCkaAOQog2/y89WaMTlcgm73S6MRqNwu93CarUKVVWF+Xz+6qUBL6QNQIo2ACnaAKRoQ7OckUgjWq1W2Gw2YTAYhKIowvF4DPv9/r32+QON0wYgRRuAFG0AUrShWbY2AwAAAAC1fJEIAAAAANQySAQAAAAAahkkAgAAAAC1DBIBAAAAgFoGiQAAAABALYNEAAAAAKCWQSIAAAAAUMsgEQAAAACo9Q3k9vMyEXELyQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1600x250 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = ['Reh_RUNX1_B', 'Reh_DMSO_RUNX1', 'Nalm6_RUNX1', 'REH_RUNX1_rep1', 'REH_RUNX1_rep2']\n",
    "\n",
    "num_peaks = []\n",
    "correlations_before_bias_correction = []\n",
    "fig, axs = plt.subplots(1, 5, figsize=(16, 2.5))\n",
    "for i, model in enumerate(models):\n",
    "    mean_predictions_h5_file = f'/users/shouvikm/BPNet/predictions/{model}/mean_predictions.h5'\n",
    "    with h5py.File(mean_predictions_h5_file, \"r\") as f:\n",
    "        pred_logcounts = f[\"pred_logcounts\"][:]\n",
    "    # Reorder coords as true_logcounts regions may not be in the same order as mean h5 file\n",
    "    fold_0_predictions_h5_file = f'/users/shouvikm/BPNet/predictions/{model}/fold_0/model_split000_predictions.h5'\n",
    "    with h5py.File(fold_0_predictions_h5_file, \"r\") as f:\n",
    "        coords_chrom = f['coords/coords_chrom'][:]\n",
    "        coords_start = f['coords/coords_start'][:]\n",
    "        coords_end = f['coords/coords_end'][:]\n",
    "        true_logcounts = f[\"predictions/true_logcounts\"][:]\n",
    "        order = np.argsort([str(coords_chrom[i])+\"_\"+str(coords_start[i])+\"_\"+str(coords_end[i]) \n",
    "                            for i in range(coords_chrom.shape[0])])\n",
    "        true_logcounts = true_logcounts[order]\n",
    "    corr_plus = np.corrcoef(pred_logcounts[:, 0], true_logcounts[:, 0])\n",
    "    corr_minus = np.corrcoef(pred_logcounts[:, 1], true_logcounts[:, 1])\n",
    "    corr_avg = (corr_plus[0, 1] + corr_minus[0, 1])/2\n",
    "    correlations_before_bias_correction.append(corr_avg)\n",
    "    ax = axs[i]\n",
    "    ax.scatter(pred_logcounts[:, 0], true_logcounts[:, 0], s=1, color='lightblue', alpha=0.3)\n",
    "    ax.scatter(pred_logcounts[:, 1], true_logcounts[:, 1], s=1, color='lightblue', alpha=0.3)\n",
    "    ax.axline((0, 0), slope=1, linestyle='--', color='gray')\n",
    "    ax.set_xlim([pred_logcounts.min(), pred_logcounts.max()])\n",
    "    ax.set_ylim([true_logcounts.min(), true_logcounts.max()])\n",
    "    ax.set_title(f'{model} \\n correlation: {corr_avg:.2f}', fontsize=11)\n",
    "    ax.set_xlabel('Predicted log counts')\n",
    "    ax.set_ylabel('Actual log counts')\n",
    "        \n",
    "    peak_file = glob.glob(f'/users/shouvikm/data/Cell_Lines_Ped_Leukemia/Reh/*/{model}/idr_peaks/peaks_inliers.bed')[0]\n",
    "    peaks = pd.read_csv(peak_file, sep='\\t')\n",
    "    num_peaks.append(peaks.shape[0])\n",
    "\n",
    "# plt.suptitle('Predicted vs actual log counts for Reh ChIP-seq BPNet models')\n",
    "plt.subplots_adjust(hspace=0.6, wspace=0.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3b2eaf9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-01-18T04:13:12.760763Z",
     "start_time": "2026-01-18T04:13:12.752629Z"
    }
   },
   "source": [
    "After fusion bias correction (V1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1b27c55a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:47:20.768217Z",
     "start_time": "2026-03-30T22:47:19.661577Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rFp599ln89ttvGDp0KJYsWYLJkyfjo48+AmMMX331lf2+K1euYM2aNTh48CDWr1+PDRs2oLCwEFOnToXBYAiof7ZFTXV1Nd544w0cOnQIS5cuDagNb7zwwgs4d+6cX3p0+fLlKCoqQnp6Oh5++OGgPJ8g/MXf99t//vMf+/zV9te7d2+3eiNHjnSrN2nSpCbJZrVaYTabUVtbi88++wxbt27FCy+8EJRNtKeffhparRb/+c9/Gq378ssvo7q6GkKhEMuXL2/2s31x4403YuXKlZg4cSLGjRuH9evX4/jx4/j++++xePFiTJ06FZ999hmGDh3qJkt5eTl27NiBOXPmYM6cOfj2229RVFSENWvWtKjMROeEdEPX1g1///vfweFw3GK0t0f4bS1AZ0en00EgENg/83g8bN++3T7Q9Xo9fv31V7zxxhtOuwO9evVCYmIisrOznRKN2LyMbPTr1w979uwJSCabUc1GTEwMsrOzIRKJAmrHG0uWLMHw4cOxdetWp8ymrpw9exY///yzPQO0J0NGsBgzZgzeeustAIBGo8F3332HJ554AnK5HIsWLWqx5xKdi/Y4nr1hM+Q7Ziy1kZ6ejqFDh2Ljxo1ISUmBTCbDxIkT3RKoAMCjjz6KefPmYceOHdi/fz92796NRx55BFu3bsWePXta7LhOY991c7n//vvx2muv4bXXXnPKFO+KwWDAp59+Cg6Hg99++w319fVOchFEsLnlllswYMAALFu2DN98843HOp999hnefPNN5OTk2LMMA8DFixfRq1cvr23Hx8ejf//+9s+2uo6LCrlcjpiYGBQVFdnLbIuHHTt2IDY2FkCDvurXrx82bNiAxYsX+92/kSNHOn1+9tlnMW/ePL/v98XQoUMxbdo0vPzyy/YjSN748MMP7Rkh8/PzkZaWFhQZCKIxAnm/zZ07F08//bRTmevpAaAhOaGrB8uRI0eatBh1HY+33XYb/v73vwfcjifi4+Nxzz334F//+lejWeVtY1SpVOLkyZMYPXp0UGTwhGtolx9++AEDBw5Er169nDZOJ0+e7JbUacCAAUhPT7d/7tmzJwYNGoQ//vgD9913X4vJTHQ+SDd0bd2wevVqfPzxx1izZk2HOCVBHoktjFgsRnZ2Nv744w+sW7cOcXFxuPPOO1FWVgagIQaZxWLB448/7rZbUFhY6DSRB+CWEVQoFAbsDTBmzBhkZ2fjt99+w6pVq6BSqTB//nyno0B8foON2ZuLNACvi+lhw4Zh6tSpePnll716JTLG8MADDyA9PR3vvfcePvnkE/z+++8B9SMQwsPDkZmZiczMTIwfPx6rVq3C9OnT8dRTTzXqOUkQNtrjePaGzdOuW7duHq/bjjdv2LABc+fO9bmb2K1bN/z1r3/F+vXrUVxcjLvvvhv79++3Gzm6d+8OlUoFjUbj8X5bbJdAXoqNfdc2eDye1yMaFovFq56SSCR44okn8N///tetTUdeeeUVFBcX46uvvsLFixfx5ptv+t0HgmgKHA4Hzz//PL799lscPXrU7fq2bdtw5513Yvjw4fj888/x+++/Y9u2bQDQqP7wpHO8lTu2FRERgf79+9uNiADQu3dvJCQk4MyZM4F0D59++imys7Px7bffYsyYMVi5ciW+//57pzp8Pr9J4xpo2Mw8deqUk0elKz/99BPWr1+Pjz/+GN27dyePRKJV8ff9BjR4INvmr7a/AQMGuNXr27evW72mbrytXLkS2dnZ+PHHH3HTTTdh06ZN+PDDD53qNGeMPvPMM1CpVG5tOnL+/HmsWrUKy5Ytw6hRo/DAAw8EJYa0Nxx1GwBUVVXh2LFjbnO5l19+2W0uFxMT47E9X3MLgvAE6Yauqxt27tyJv/71r1iyZEmHcXIiQ2ILw+VykZmZieHDh2PhwoXYtm0bVCqVPR6gXC63Lxqys7Pd/l544YWgy2Qzql177bV46qmnsGLFCvz222/YsmWLvY5CoQDg+VikLfinp8Fh45///CdOnDiBHTt2eLy+Zs0a/Pzzz3j//ffxwAMPYOTIkXjggQeCFrPBH/r27YuqqiqPSTAIwhPtcTx7Y9euXQCAUaNGebw+b948nDt3Drt27cL8+fP9blcgEODxxx8HAJw7dw4AkJWVBQD49ttvPd7zzTffgMPhBBRKoLHv2oZCofCopzQaDbRarU899dBDD0EikeD111/3eP3ChQt4/fXX8Y9//AM33ngjnnjiCSxfvrzdBr0mOg9z585F7969PR7Z2bJlCzIyMvDhhx9i2rRpGDFiBCIiIlpUHkcvRlcC3fywLWqmTZuGnTt3Ii4uDk8++aTTpp63cQ00zEF8jeuRI0di8uTJXo87GY1GPPjgg5g4cSLuuecevPfee9i5cye2bt0aUD8Ioqn4+35rK3r06IHMzExMmjQJW7duxeDBg/HCCy84eT83Z4wmJSVh0aJFWLVqlVf9cf/996NHjx74+9//jvfffx/nzp3DO++807yO+cD19EZkZCSuueYaj3M5V8cHT+uI8vJyj4nqCMIXpBu6pm74/fffMXv2bCxatKjd/Fv7AxkSW5nMzEzMnz8fq1evxpUrVyCVSnHttdfi3LlzbrsFmZmZSElJaXGZHn74YaSmpmLFihX2svT0dMTFxWH79u1u9b/66ivExcWhZ8+eXtscNWoUJkyY4HEiX11djaeffhqLFi3C2LFjweFw8P777+PUqVONZmsKJqdPn4ZAIEBYWFirPZPoXLTH8Qw0eAAuX74c/fr1w4QJEzzWSUhIwGOPPYYFCxZ4NTbW1NR43OWzxWGzeTvOmTMH8fHxePnll6HX693qrl27FrNmzbLHSmwKrt+1jaysLHz77bductq8kXwZL2UyGR577DF8+OGHHl/2999/P1JTU/HMM88AaNggiYqKwiOPPNLkfhCEP3C5XDz//PPYvn07Tp486XStrq7O7kloY/369S0qz4wZM3DmzBmnsXf+/HkUFxc3K25oaGgoXnrpJZw9e9bJgzArKwsnT55EXl6eU/38/HycOHECY8eO9dnukiVLcOzYMY/hGlasWIGCggJ7HKbrr78et956Kx577LFGg7wTREvg7f3WHuDxeHj99ddRVVWFjz76yF6elZUFlUqFAwcOONVXq9X2RIq+eO6551BZWYmPP/7Y7dqaNWuwf/9+vP/++xAKhRg4cCAeffRRvPjiiwHHWm4qkyZNwuXLlxEfH+9xPufI6dOncenSJfvnS5cu4cSJExgxYkSryEp0Xkg3ONMZdcPZs2cxffp0TJgwAR988EGr9CFYkCGxDViyZAnMZjPefvttAA1ZQb/99lvMmzcP27Ztw759+7Bu3TosWrQI+/bta3F5BAIB/vGPf+DEiRP240VcLhcvvfQSVq9ejXvvvRfffPMNvvnmG9x777343//+h2XLlnmMvebIkiVLcOTIEdTW1jqV2+I5rFq1yl42aNAgPPzww/jnP//plO788OHD+OKLL7Bz504ADRb7L774wp4l1l9UKhV+//13/P777/jxxx/x+OOP47vvvsNdd90FsVgcUFsE4Uhbj2fbb/vgwYP49ttv8fzzz2Pw4MHgcrnYvHmzzxiGb775Jj777DOv1/fs2WP3itq1axf27NmDf/3rX7jvvvuQlJSEW265BUDDUYyNGzciPz8fY8aMwfr163HgwAH8+9//xtixY5GYmOgzDqG/uH7XAPCPf/wDRUVFmDhxIj7//HPs3r0br7zyCu677z4sXLgQffr08dnmI488AqFQ6Jbd+tNPP8W+ffvskxWg4Tj0u+++i+3btzvFrisoKMAXX3yBL774Anq9Hrm5ufbPBNFUFixYgB49emDv3r1O5ZMnT8ahQ4ewfPly7N69G0888QR++umnFpXl3nvvRbdu3TBjxgxs374dW7Zswc0334y0tDTcdtttzWp70aJFSE1NxcqVK+1ld9xxB3r27Ilx48bhk08+wZ49e/DJJ58gKysLaWlpuOOOO3y2ed111yErK8st5uzFixfx2muv4ZlnnnGKJfn2229DpVLhxRdftJfp9Xr7OC4oKIBarbZ/rqysbFafCcIVT+83oMF7xTZ/dfzzFkqkJZg0aZI91nh9fT2AhhjP1113HWbNmoV3330Xe/bswbp16zBmzBjweLxGN9xSU1OxcOFCtzFqcza48847MW7cOHv5iy++CLlcjscee8ypvm1Mnj17FhaLxWnMNoc777wTvXv3xrhx4/DRRx9h3759+Oqrr7B06VI899xzTnVjY2Mxc+ZMbNmyBVu2bMGMGTPQvXt33HXXXfY6Z8+edZoXnDp1yml9QxDeIN3QQGfUDRUVFZg6dSrEYjEef/xxHD582P7vePbs2WbJ2SowosVYunQpk0qlHq8tXLiQhYWFMZVKxRhjLDs7m02bNo2Fh4czsVjM0tPT2f3338+KiooYY4zl5eUxAGzLli1O7Tz66KMsOTnZb5mysrLY9OnT3cpNJhNLTU1lWVlZTuUbN25kw4YNY2KxmInFYpaZmck2bNjgdn9ycjJ76KGH3MrHjBnDALClS5cyxhg7cOAA43A47JNPPnGrq1arWXx8PJs7d669bNGiRQyA25+rnI312fFesVjM+vfvz1atWsWMRqPf7RBdm/Y6nm2/ay6XyyIiItjIkSPZsmXLWFVVlVt9AGzVqlVe29u2bRsDwPLy8hhjjBUWFrK///3vbMiQISwiIoKJxWLWq1cv9sgjj7DS0lK3+8+dO8fmz5/PYmJimFAoZCkpKeyJJ55g1dXVfveJscC+a8Yavu8bbriBhYeHM4FAwHr27MlefPFFZjKZnO5dtGgR69+/v1ubL7zwgpNeqa6uZgqFgt1+++0eZZg5cyZLSUlher2eMcbY6tWrPeopesUS/uLtN//JJ58wAE56wWw2syeffJIpFAomk8nY7Nmz2e+//+6mU1zfy55+/3v37mUAWHZ2tlO5p3f65cuX2cyZM5lUKrU/16bT/MHbsxhj7OOPP2YA2N69e+1lZWVlbPHixaxbt26Mz+ezbt26sbvvvpuVlZU53Wsbf5WVlU7lu3fvdhuHEydOZD179mR1dXVuMvzrX/9ifD6fnTx5kjH2p5729OcoJ0EEQiDvt+TkZK+/wZ9//pkx5ntc+brmCW9zE8YY+/HHHxkAtnr1anuZWq1mjz32GEtKSmJ8Pp9FRUWxOXPmsIsXL/olx4ULFxiPx3OadyxevJhFRkayiooKNxm2bt3KALDvvvvOXubt+3GU0xe+vqPa2lr2+OOPs6SkJCYQCFhcXBybNm0a++abb+x1bOuq//3vfywlJYWJRCI2duxYdvbsWae2li5d6lHOQOZ8ROeGdMOfdBXdYHtGc20dbQWHMco0QRAEQRAEQRAEQRD+Mm7cOISGhjqdUiAIgugKuoGONhMEQRAEQRAEQRAEQRAE0Sj8thaACB6+Up9zOBzweLxWlKZ16Ip9JroGnfW3bbFY4MsRns+n1xJBdDSsViusVqvX6zwer9G4ygRBtByMMVgsFq/XuVyuz5jKHZGu2GeCCJSuOE66Yp9bAvqGOhECgcDrX1paWluL1yJ0xT4TXYPO+tueOHGiz77l5+e3tYgEQQTIsmXLfI7rtWvXtrWIBNGlWbt2rc8xumzZsrYWMei0Rp/37dvXqY8uEp0f0g2kG5oKxUjsRBw+fNjrNZFIhIEDB7aiNK1DV+wz0TXorL/tCxcu+Mwod80119izJBME0TEoLS1FaWmp1+upqamIiopqRYkIgnCkuroaeXl5Xq/Hx8cjPj6+FSVqebpinwkiULriOOmKfW4JyJBIEARBEARBEARBEARBEESj0NFmgiAIgiAIgiAIgiAIgiAahQyJXYR9+/aBw+H4PC7pia+++gr/+c9/3MrvuusuDBgwIFjiNZna2lrcc889iIyMhEwmw+zZs1FWVtbofRwOx+uf4/3Lly/H5MmTIZfLm/T9EUR7h3SDM3fddZdHvfD999/b66xZs8ar/rj++utbslsE0WqQbnDHYDDgn//8J1JTUyESiZCUlISnn37aqU5KSopH3WAwGFqiOwTR6pBucMZiseD1119Hnz59IJFI0KNHDzz99NPQarVO9TzphW7durVUdwii1SHd4AxjDK+//rp9zjBgwABs3rzZqU5ZWRn+/ve/IyMjAzKZDAkJCViwYAEKCgpaqjtBg9JjEj756quvcPjwYTz44INO5UuWLIFOp2sjqf5k3rx5OHPmDD744AOEhITg+eefxw033IDDhw/7zP568OBBt7I777wTUqkUcXFx9rIPP/wQaWlpmDRpErZu3doifSCIjkhn1Q0A0KNHD6xfv96prG/fvvb/nz59upsOycnJwZ133okbbrgheJ0giA5IZ9UNVqsVN910Ey5fvoylS5ciNTUVBQUFuHDhglvd2bNn48knn3QqE4lEQe8LQXQkOqtueOWVV7B8+XIsX74cI0aMwOnTp/GPf/wDpaWlbnOJhx9+GAsWLLB/ppjQBNF5dcOqVavw/PPP44UXXsC1116LHTt2YP78+ZBIJJg5cyYA4MiRI/jyyy+xePFijBw5ElVVVVi+fDmGDx+O06dPQ6FQtFY3A4YMiR0Ao9EIgUDglobcYrHAarVCIBC0ukztIWvswYMHsWvXLuzatQtTpkwBAPTu3Rt9+/bFl19+iblz53q9d+TIkU6f8/PzkZOTg9dff92pvLCwEFwuF/v27SNDItHuIN3gmeboBgAQi8VuOsIRhULh9mL//vvvwePxMG/evOZ3gCCaCekGzzRHN6xevRp//PEHzp0757Th6InY2FifOoQg2grSDZ5pjm7YsGEDFi5ciGeffRYAMH78eFRVVWHlypVYu3atk6EhKSmJdAPRLiHd4Jmm6gaTyYSXX34ZjzzyCJYuXQoAmDJlCgoKCvDCCy/YDYljxozB+fPnnfTEqFGjkJSUhE8//dRtU7I9QUebg8y3336L0aNHQyKRICIiAuPGjcOxY8fs1wsKCjB79myEh4dDKpVi6tSpOHXqlFMbKSkp+Nvf/obXX38dycnJEIvFqKmpwbhx4zBjxgysXbsWvXv3hkgkwokTJ+zPHTFiBMRiMRQKBR544IFGLfj/+te/MGzYMISHhyMmJgYzZszAxYsX7dfvuusurF27FmfOnLG74N911132a66uxqdOncLUqVMhlUoRHh6O2bNno7Cw0KkOh8PB66+/jhdffBGxsbGIjo7G3Xff3aTdhp07d0Iul2Py5Mn2st69eyMjIwPfffddQG1t2LABHA4H8+fPdyp3VaYE0VRIN3RM3eAvGzduxIQJE+iYEhEwpBs6hm74+OOPMWfOnEaNiAQRLEg3dAzdUF9fj/DwcKey8PBwWK3WgOUgCH8g3dD+dUNubi40Go3d+Ghj6tSpOHnypF1muVzu5tWYkJAAhUKB0tLSgOVtTcgjMYhs3rwZ8+fPx0033YQNGzZAKBTi119/RUlJCQYPHgyNRoNx48aBy+XaXWNfeeUVjB07FidPnkRiYqK9ra1btyI9PR3vvPMOeDwepFIpAODw4cPIz8/HsmXLEBERgcTERHzxxReYN28e7r77brz00ksoKyvDs88+C6VSiU2bNnmVt7i4GH/729+QnJwMtVqNDz74AKNGjcLFixcRGRmJJUuWoLKyEufPn7e75ntzry0qKsLYsWORlpaGdevWwWAw4Pnnn0dWVhZOnjwJmUxmr/vee+/huuuuw9q1a3Hx4kU8/fTTiI2NxWuvvWavw+FwsGjRIqxZs8ar/OfPn0fv3r3B4XCcyvv27Yvz5897/4fywMaNGzF27FgkJCQEdB9B+APpho6lGy5duoTw8HDU1dVh4MCBWLJkCW6++Wav9Q8fPoyLFy/iueeea7RtgnCEdEPH0A319fU4evQoZsyYgTvvvBNbt24Fl8vFDTfcgHfffddtA2H9+vX4+OOPIRAIMHbsWKxcuRIDBw702j5BuEK6oWPoBgD4y1/+glWrVuGmm27C8OHDcfbsWfz73//G/fff72YgWLFiBZ577jm7cWfVqlVISkry2T5BOEK6oWPoBltcZNewJrbP586d8zr2L168iIqKCqewSu0SRgQFq9XKEhIS2NSpU73WeeeddxiHw2Fnz561l1VXVzOpVMqeeOIJe1lycjKLiopiWq3W6f6srCwmEAhYYWGh03OTk5PZ/Pnzneru3LmTcTgcdvr0acYYY3v37mUAWHZ2tkfZzGYz0+v1LDQ0lH344Yf28kWLFrH+/fu71Xctf/zxx5lUKmXV1dX2snPnzjEOh8PeffddexkANnz4cLe20tLSnMp4PB5bvHixR1ltTJo0yeP3/dBDD7H09HSf9zpy4sQJBsCp36409v0RhDdIN3Qs3fD222+z9957j+3du5dt27aNTZkyhQFgW7Zs8XrP448/zkJCQlhtba3PtgnCEdINHUc3lJWVMQAsNDSUTZs2je3atYutW7eOxcfHs2uvvdap7sMPP8zWrVvHDhw4wNasWcPS09NZWFgYy83N9SkbQdgg3dBxdIONpUuXMg6HwwAwAOz2229nFovFqc6dd97JPv/8c7Z//372f//3f6xbt24sMTGR1dTUNNo+QTBGuqEj6Yba2lrG4XDYypUrncoXL17MALANGzZ4vM9qtbKpU6ey+Ph4t3+b9gad2wwSFy5cQHFxMRYvXuy1zs8//4wBAwY4WZcjIyMxefJk/PLLL051x40bZ98VcOSaa65x2km4ePEiCgoKMHfuXJjNZvtfVlYWuFyuz6xJv//+OyZPnoyoqCjw+XxIJBJotVond2N/+fnnnzFhwgRERkbay/r06YNBgwa59c3RNRgA+vXrh+LiYqcys9mM//73vwHL0RTWr18PgUCA2bNnt8rziK4F6YaOpRseffRRPPTQQxg3bhxuvvlm7Ny5EyNGjMA///lPj/WtVis2bdqE6dOnIywsrMXkIjofpBs6jm6wHVGUyWT48ssvMWXKFCxcuBBr167FwYMHsWfPHnvdd999FwsXLsR1112HRYsWYf/+/QCAN954o0VkIzofpBs6jm4AGjyf3nnnHbz11lvYv38//vOf/2Dnzp14+OGHneqtXbsWc+bMwdixY/Hggw9i165dKC0txccff9xishGdC9INHUc3hIWF4fbbb8fKlSuxc+dOKJVKfPrpp9i4cSMAuHk42njxxRfx008/4dNPP/X4b9OeIENikKiurgYAxMfHe62jVCoRGxvrVh4bG4uamhq3Mk+4lldVVQEAbrnlFggEAvufRCKBxWJBUVGRx3YKCwsxZcoUWCwWfPjhh/j111+RnZ2NmJgYuytuIATSN7lc7vRZKBTCaDQG/MyIiAjU1tZ6lMVRwfiCMYZNmzbhhhtu8PsegggE0g0dUzfY4HK5uPXWW3Hu3DnU1dW5Xd+7dy/KysqwcOHCgOUkujakGzqObpDL5eBwOBg1apTTMaVx48aBx+PhzJkzXu+Ni4vDmDFjcOTIkYDlJbompBs6jm6orq7GU089hWXLluHRRx/F2LFj8cADD+Cdd97Bf/7zH5/GkmuuuQa9e/cm3UD4DemGjqMbAOCtt97C0KFDMW3aNERGRuLJJ5/E8uXLAcBjvOWPP/4Yy5Ytw4cffoiJEycGLGtrQzESg0RUVBQA+AyKGRkZiQsXLriVl5eXu/0QvVmpXctt97333nsYMWKEW31viub777+HVqvFl19+aR9oZrPZbRD6S2RkJCoqKtzKy8vL0atXrya12Rh9+vTB7t27wRhz+l7Onz/vdyyiX375BYWFhW7ZmgkiWJBu6Ji6wV82bNgAuVyOadOmBbVdovNDuqHj6AaJRIKUlBSv15uyICIIb5Bu6Di6ITc3F0ajERkZGU7lgwcPtl9vKZmJrgfpho6jG4CGf68ffvgBpaWlqKmpQXp6Onbs2AGhUIghQ4Y41d22bRseeOABLFu2zKfHaXuCPBKDRO/evZGQkIDVq1d7rTNmzBicOnXKaXArlUrs3r0bY8aMadJz+/Tpg4SEBFy+fBmZmZluf94Gdl1dHTgcjlMq988//xxms9mpnlAo9GuCPGbMGPz0009QKpX2sgsXLuDkyZNN7ltj3HDDDVAqlfjpp5/sZRcvXsSxY8f8XtRv2LABoaGhuPHGG1tERoIg3dAxdYMNq9WKLVu2oH///hCLxU7XjEYjvvzyS8yaNcstmDJBNAbpho6lG2bMmIFff/3VqW979uyBxWLB0KFDvd5XWlqKX375BcOGDWt+B4guAemGjqMbkpOTAQBHjx51Krd5GfragDh+/DguXLhAuoHwG9INHUc3OBIfH48BAwaAz+fj/fffx7x585wSw+zbtw/z58/HvffeiyVLlgS9Dy1GWwZo7Gxs2rSJcTgcNmvWLPbVV1+xnTt3sn/+85/s66+/ZowxplarWUpKCktLS2MbN25k27ZtY5mZmUwulzsFNE1OTmYPPfSQW/tZWVls+vTpbuWff/454/P57L777mM7duxgP/30E/vf//7Hbr31VnbhwgXGmHvw05MnTzIul8vmzJnDdu/ezd555x2WlJTE5HK507PffPNNxuPx2IYNG1h2djbLy8tjjLkHPy0sLGRyuZxlZmaybdu2sY0bN7K0tDSWkpLC1Gq1vR4AtmrVKif533rrLeb6U/Qn+CljjE2dOpUlJiayzz//nO3YsYMNHDiQDRo0iNXX19vrvPTSS4zH47H8/Hyne+vr61l0dDS7/fbbvba/b98+tmXLFvbiiy8yAGzlypVsy5YtlHSFCAjSDR1DN+Tn57OsrCz2wQcfsN27d7MtW7awCRMmMA6Hw7788ku3Z3z55ZcMANu9e3ej8hCEJ0g3dAzd4CjvlClT2LfffsvWrFnDunXrxsaMGcOsVitjjLENGzawBQsWsHXr1rE9e/awTz75hKWlpbGIiAh2+fLlRmUjCBukGzqObrj55puZTCZjb7zxBtuzZw/797//zSIjI9mkSZPsdVatWsXuv/9+tmnTJrZnzx727rvvstjYWJaSksKUSmWjshGEDdINHUc3rFu3jn388cds7969bP369Wzs2LEsMTGRlZaW2uucPXuWhYeHswEDBrBff/2VHTx40P536dKlRmVrS8iQGGR27NjBRowYwUJCQphcLmcTJkxgx44ds1/Pz89ns2bNYjKZjEkkEjZ58mR28uRJpzYCHdiMMfbDDz+wrKwsJpVKmVQqZf3792dPPvkkU6lUjDHPWZQ+/fRT1qNHDxYSEsJGjhzJDh065Pbs2tpadtttt7GoqCgGgC1atIgx5jm70okTJ9jkyZOZRCJhMpmMzZo1y8145+/AdnyWL1QqFVu8eDGTy+UsNDSUzZo1i5WUlDjVWbp0KQNgV0o2vvnmGwaAfffdd17bz8rKsmdgc/zzRzaCcIR0Q/vXDdXV1ezGG29kCQkJTCgUstDQUDZu3Dj2/fffe3zG7NmzWVxcnFtmRoIIBNIN7V832Dh27BjLyspiISEhLDIyki1evNjJCHDw4EE2btw4Fh0dzfh8PouOjmZz585l58+fb1QugnCFdEPH0A21tbXsqaeeYmlpaSwkJISlpqayhx9+2Ckb844dO9jIkSNZREQE4/P5LC4uji1evNjJoEAQ/kK6oWPohs8++4z16dOHiUQiFhUVxe644w5WVFTkdN/q1as92ho6gr2BwxhjQXJuJAiCIAiCIAiCIAiCIAiik0IxEgmCIAiCIAiCIAiCIAiCaBQyJBIEQRAEQRAEQRAEQRAE0ShkSCQIgiAIgiAIgiAIgiAIolHIkEgQBEEQBEEQBEEQBEEQRKOQIZEgCIIgCIIgCIIgCIIgiEbht7UAzcFqtaK0tBQymQwcDqetxSGIFoUxBo1Gg/j4eHC5tAfgC9INRFeCdIP/kG4guhKkG/yHdAPRlSDd4D+kG4iuRCC6oUMbEktLS5GYmNjWYhBEq1JUVISEhIS2FqNdQ7qB6IqQbmgc0g1EV4R0Q+OQbiC6IqQbGod0A9EV8Uc3dGhDokwmA9DQ0bCwsDaWhiA8czi3EhdLVOjVXY7MNEXA91eo9Cis1gEmPSaOvMb+uye8Q7qB6CzU19dj8+bNKCoqgkwmw+233w65XA7gT90QIbRiyIBepBv8gHQDAfw5dpKipIiRS9panBZDrVYjMTGRdIMfkG4gOgpqtRqfffYZ1Go1unfvjvnz50MgEATURm5ROc0b/IR0A9GVCEQ3dGhDos29OCwsjAY20W7pn8pHaKgMyYpQhIUFvmA5X25AkcqMxKuLHXKrbxzSDURnwGq1YsuWLaisrER4eDjuvvtuxMbG2q+HhYWhZ1LDogIg3eAPpBsI4M+x01Ug3dA4pBuIjkBdXR127NgBk8mE7t27Y/HixZBIAl9bpF11sCPd0DikG4iuRCC6oUMbEgmiIxArlyC2GR4PyYpQAECkyBoskQiC6AAUFRXhwoUL4PF4uO2225yMiARBEARBdC2qq6tRW1uL0NBQ3H777U0yIhIEQQQDMiQSRDvHZoi0eR0RBNE1SE5Oxty5c8EYQ0pKSluLQxAEQRBEG5KQkIC77roLXC7XHuaEIAiiLSBDIkEQBEG0IywWC3g8HgCgT58+bSwNQRAEQRBtBWMMWq3WHrMsLi6ujSUiCIIAKN87QbQDylV6HMqpQLlK7/EzQRBdg/Pnz+ODDz6ASqVqa1EIgiAIgmhjDhw4gPfffx9FRUVtLQpBEJ0UxhjMZnNA95AhkSDaAQWVWpwrVqKgUuvxM0EQnZ/CwkJs3boVVVVVyM7ObmtxCIIgCIJoQ44ePYp9+/ahrq4OV65caWtxCILohFgsFuzYsQNbtmyB1ep/TgY62kwQDpwprMHRvCoMSY1G/6TIVnuuLaGKt/8SBNG5OZdbiC83r4fZbEbv3r0xceLEthaJIIgg0FbzCoIgOjYXLlzAN998AwC47rrrMGzYsDaWiCCIzobJZMKWLVtw6dIlcDgcDBw40O97yZBIEA4czavCsctVANCqE37XzM7NzfRMEETHoba2Fju+/BzmehPk0d1w6623gsulAwME0Rloq3kFQRAdl6KiInzxxRdgjCEjIwPjx49va5EIguhk6HQ6bNy4ESUlJeDz+Zg9e3ZAMVjJkEgQDgxJjXb6L0EQREtSV1eHdevWwaDXQRoWgZtvnQ2BQNDWYhFEp6JcpUdBpRbJitBW36SjeQVBEIFQWVmJjRs3wmw2o1evXpg5cyY4HE5bi0UQRCdCqVRi3bp1qKmpgVgsxoIFC5CQkAC1Wu13G2RIJAgHosNC0DtejuiwkLYWhSCILsDOnTtRVVUFmUyGexYvQnh4eFuLRBCdDlvcYQCtbkjsnxRJnogEQfjNgQMHUFdXh4SEBMyePZtOKBAEEVTKysqwfv166HQ6hIeH4/bbb0d0dOCbnWRIJAgHvC02fHkz+Ovp0JYeEQRBtE+mTJkCrVaL66+/noyIBNFCUNzhzk9KSgoKCgrcyh988EH83//9XxtIRBBN48Ybb4RUKsXYsWP9PqFAawyCIPzFarXCZDIhNjYWCxcuhEwma1I7ZEgkCAdsiwypiI9DORX2F7IvbwbXa95e5m3pEUEQRPskNDQUd955Z1uLQRCdGoo73PnJzs6GxWKxfz59+jQmT56MOXPmtKFUBOEfVqvV7nkoEAhw/fXXB3Q/rTEIgvCX7t2744477oBCoUBISNNPYZIhkSAcsC02DuVUOL2QfXkzuF7zZliUivjomxBBHhEE0cXZt28f5HI5MjIy2loUgiCIToFCoXD6/NprryEtLQ1ZWVltJBFB+IfVasUXX3yBqKgoTJgwoUnxEMnrmiAIX/zxxx9ISEhA9+7dAQCJiYnNbpMMiQThgCej35nCGhzNq8KQ1GiPu3yung6uL/Pj+VU4kluFoWnRyEiJRkGl1n4fQXRWuuoxm8b6nZ2djf379wMAunXrhm7durW2iARBEJ0ak8mEdevW4YknnvBqlDEajTAajfbPgQSYJ4hgwRjDzp07ce7cOfB4PAwcOBAxMTEBt0Ne1wRBeIIxhh9//BEHDx6ERCLBnIV3oULHgrI+I0Mi0WXwx7Bh8ybsmxCB4ekNL/Iv/8jD0dxKaA31fgVMd3yZl6v0yCvXwGAyQ6Ovxw8niqHRm+z1CKKz0pmO2QRiFPXV77Nnz+K7774DAGRlZZERkSAIogX46quvoFKpcNddd3mts2LFCrz00kutJxRBeODnn3/G4cOHAQC33HJLk4yIBEEQnrBYLNi+fTtOnToFABg1ahTKtVacL1EBaP76jNJAEV0G2wLf5hHoiWRFqNvx42hZCMKkQkTLQlCu0uNQTgXOFNbgUE4FylX6Rp9pYQzp8XLIJAKo60yQSYR09IBocWy/1cZ+oy2Fp7HUUSmo1CI7twI/nChu9Pv01u/8/Hx8+eWXAIChQ4f6ddyurf8NCYIgOiL//e9/ccMNNyA+Pt5rneeeew61tbX2v6KiolaUkCCAo0ePYu/evQCA66+/Hv37929jiTonFosFS5YsQWpqKsRiMdLS0rB8+XIwxtpaNIJoMYxGIzZs2IBTp06By+Xi5ptvxujRo5ESIwva+ow8Eokugz/xQzwdDeiXEIFqjQEAw/H8Kly6okaFqg519Wb0iAnDLSNSvVr0XZ8ZIQ3pckc9ibahrT0CW/uYTUsepU5WhOJCqQoavQkFlVqf7Xvqd3l5OTZt2gSLxYI+ffpg2rRpfsVAaut/w/ZKSUkJnnnmGezcuRN6vR49e/bE6tWrkZmZ2daiEQTRxhQUFGD37t32jRtviEQiiESiVpKKIJy5cOECvvnmGwDAmDFjMGLEiDaWqPOycuVKvP/++1i7di369++Pw4cP4+6770Z4eDgeeeSRthaPIIKOVqvFhg0bUFZWBoFAgLlz56Jnz54Agrs+I0Mi0WlxNSwEOnBs96t0RtRoG/4y0xQIEwtRWKGBSmdEqUDn07Dg+kwyBhCtRVcLvN2SRrdYuQRTBiXY9Ukg6HQ6rFu3DkajEUlJSbj11lvtmRkbo6v9G/qDUqnE6NGjMX78eOzcuRMKhQI5OTmIiIhoa9EIgmgHrF69GjExMZg+fXpbi0J0QoKxaanVarF161YwxpCRkYEJEyYEWUrCkd9++w033XSTXSekpKRg48aNOHToUBtLRhAtw/79+1FWVgaJRIKFCxf69M5vDmRIJDotzTUs2O7vFiFGZpoCDAyDUqIAACECLoqqdEiMDrUv8h2TsvgTS5EgWpKuFni7pY1uTf0+JRIJhgwZgvPnz+O2224Dn+//a7er/Rv6w8qVK5GYmIjVq1fby1JTU9tQIoIg2gtWqxWrV6/GokWLAtK1BOEvwdi0DA0NxcyZM3H27FnMmDGjSVmaCf8ZNWoUPvroI1y8eBG9evXCiRMn8Msvv+DNN9/0WJ8SMREdnSlTpsBgMGD8+PGIjGw5mwS9ZYlOS3MNC56yL5/Ir8aglCgkK8KgN1qQrJAhVi5BuUqPrw/no6RGBwBkSCSIVqa9Gt04HA7Gjx+PMWPGQCAQtLU4HZ4dO3Zg6tSpmDNnDvbv34/u3bvjwQcfxL333uuxPi0ICKLrsHv3bhQWFmLx4sVtLQrRSQnWpuXAgQMxYMAAMiK2As8++yzUajX69OkDHo8Hi8WCV155BQsXLvRYnxIxER2R8vJyxMTEgMPhQCAQ4NZbb23xZ1KyFaJNaclkArFyCYanxzTZuOB4f0GlFntOleCLg7n49kgBCio1qNYYUFCpth9z4PG46B4pxZDU6CD3hCCaByXtaF0sFgsOHDiA+vp6exkZEYPD5cuX8f777yM9PR27du3CAw88gEceeQRr1671WH/FihUIDw+3/yUmJrayxAThG9LPwWPKlClgjKFXr15tLQrRSWnq2sJgMODLL7+ERqOxl5ERsXX4/PPPsX79emzYsAFHjx7F2rVr8cYbb3idN1AiJqKjceLECXz00UfYv39/qz6XPBKJNqW1kwkEEtukXKXHifxqMDAkRIZCLOCj1KTD4UuV4PO4YGAw1FuQrAhDsiIUWf3iKZEK0S6hpB2tB2MM33zzDY4fP478/HzccccdtFgIIlarFZmZmXj11VcBAIMHD8bp06fxwQcfYNGiRW71n3vuOTzxxBP2z2q1moyJRLvClhX+QqkKUwYlkI4miE6G2WzGpk2bUFBQAKVSicWLF9O8oBV5+umn8eyzz+K2224D0OANWlBQgBUrVnicN1AiJqKjwBjDr7/+ip9++gkAUFNTA8ZYq+kXMiQSbUprJxPwx6BiMyBeLlejtEaHECEfEdIQzBmVhi2/XUJRjQ4MDOlxcvRPinBK5kIQbUFjBnJK2tF67NmzB8ePHweHw8GIESNosRBk4uLi0K9fP6eyvn37YuvWrR7r04KAaO8EkhWeIIiOhdVqxbZt21BQUACRSITp06fTvKCV0ev1bknueDwerFZrG0lEEM3HarVi165d9qRBo0aNwqRJk1pVv5AhkWhTgmGAC8TLMFkRCqXOgMJKDQoq1QiTCJGREu10X0GlFodzK1GrN4LDAeQCEaQiPvonRaK4phus58sRFyHG2L7xKKnR4Xh+lVsbBNGaNGYgJ0N36/DHH3/gl19+AQDMmDEDvXv3bmOJOh+jR4/GhQsXnMouXryI5OTkNpKIIJqHr6zwwcgQSxBE28AYw/fff4+zZ8+Cx+Nh3rx56NatW1uL1eWYOXMmXnnlFSQlJaF///44duwY3nzzTYqlSnRYzGYztm3bhrNnzwIApk6dipEjR7a6HGRIJDo8gRzbjJVLECENwZHcKlRrDJCGCHC5XI202HAMSolCrFyCZEUo0uPCcLpQCbXeiJIaHUpqdIgOCwEAjOnTDd0jpTiaV4WcUpXdY5Em+URbQR6HgdESi/MzZ87g+++/BwCMHz8eQ4YMCUq7hDOPP/44Ro0ahVdffRVz587FoUOH8NFHH+Gjjz5qa9EIokn40ke+5jdkZCSI9s0vv/yC7OxsAMAtt9yC1NTUNpaoa/Lvf/8bS5YswYMPPoiKigrEx8fjvvvuwz//+c+2Fo0g3ChX6XE8vwoccOy2CUcYY9i4cSMuX74MLpeLW265BQMGDGgTWdvckFhSUoJnnnkGO3fuhF6vR8+ePbF69WpkZma2tWhEByFQI0qyIhSZaQrU6o2o0hhQVqNHWY0el8vViJaFgIGhSmOA2WJFrd6EcIkIDAwFlVpcUdahb0IEdEYz1HUmxEdKkRorIwMO0aaQx6F3PC22gx0zMi8vD9u2bQMADBs2DNddd53XZxPNY9iwYdi2bRuee+45LFu2DKmpqXj77be9Zl8kiPaOL30kFfHB5XIgFblP1yn2LUG0X06ePIk9e/YAAK6//nr079+/jSXqushkMrz99tt4++2321oUgmiUgkotjuRWAQDkUpHb+53D4WDgwIEoKSnBvHnz2nSDok0NiUqlEqNHj8b48eOxc+dOKBQK5OTkICIioi3FIjoY3owoZwprcDSvCkNSo9E/KdKp/pSMhvo2q39euQalSh1yymoBNEzejWYLBHweYuViZKT8mYnZ0WjoaCBwTM5CR50Jon3gabEdbA9OoVAIkUiElJQUXH/99fb4JLTQbxlmzJiBGTNmtLUYBBEUfOkjndEMq5VBZzQHdB9BEI3Tkpt9ycnJUCgU6NWrF0aMGBHUtgmC6LzYTkZWa4xOm4iOSVQyMjKQnp4OqVTaVmICaGND4sqVK5GYmIjVq1fby3xZVY1GI4xGo/2zWq1uUfmIjs3RvCocyilHSbUWQMOEXCriQ2c0OyVIyUiJhlpfj2pNHdjVASuXijCsZwxUehOGpP5pFHScaHg6gnQ4txIA6KgzQbQTPC22g+3B2b17d/zlL3+BTCZzCuhNC32CIBrD0VPa8XO5Sg+lzoC4CIlHHUKe6ATRPFpysy88PBz33HMPhEJhUNslCKJz0xBmLQx6o9K+iVhUVIRdu3bhtttuQ2how3ygrY2IQBsbEnfs2IGpU6dizpw52L9/P7p3744HH3wQ9957r8f6K1aswEsvvdTKUhKtSTB3B4ekRiO3rBZKnRE/nyuDhTFo9CbIJA0vdcfJe05ZLa6o6mCst0Ak4EEs5CNWLsHMYSluclWpDTiaV4UUhQx1JjMYGBIiG5K49IoLh0wiIMMBQQSJ5uoEX4vt5rSt0+lQW1uL+Ph4APDoSU8LfYIgvOGofzwZNAoqtbh0RY0wMRkiCKIlCPZmX1VVFSorK9G3b18AgEgkCkq7BEF0LRx104ULF/DFF1/AbDZj7969mDlzZhtL9yfcxqu0HJcvX8b777+P9PR07Nq1Cw888AAeeeQRrF271mP95557DrW1tfa/oqKiVpaYaGlsk2nbznxTKVfpoTOakaSQwWxhEPJ5CBMLwedyESYWuh1PHpoWjZSYMMhDRUiNCUN6XDhUOiPKVXo3uY7mVeHY5Sr8er4Mh3MrcSS3Cj+fK8Ov58tRqamjY80+eO2118DhcPDYY495rbNmzRpwOBynv5CQkNYTsgNTrtLjUE6F/Xfb1DrtiebqBF/9LajU4vClCvxwotjjdW/3mkwmbNiwAWvWrMHly5ebJNOu44X44XhRh/l3IIiuQLD1o6/2TuRXY/fJYpzIr0ayIhR9EyLc5iZhYiE0elOT9R9jrMmyE0RnJ1YuwfD0mKDM2TUaDdatW4fPP/8cZ86cCYJ0BEG40tHWME3FppuKc89h8+bNMJvNSE9Px9SpU9taNCfa1CPRarUiMzMTr776KgBg8ODBOH36ND744AMsWrTIrb5IJKLdnU5OsHYHbcYHo9mCKFkIEqKkGJQShYJKLaQi/tVYhlV2o9/UjCRkpETbsyQxMJQp9fYgp44Bz4ekNsRLdPRIVOtNOFNUA6XWgLTYansMRuJPsrOz8eGHH+Kaa65ptG5YWBguXLhg/2yLCUH4xp8Mn0qdAVeUdR7rBItgeBbb2pCK+G4L7ECe3VgiA3WdCXqTGQWVWr8yplosFnz++ecoLS2FWCxGWFhYwH1rLJAyQRBtQ7CPOjq2Z/ts000MDUY+Bubkveyow6YMSrD/vydssZlr9Q1hf8IkQvu85sTZHOza+V2z+0AQhG8MBgPWr1+P2tpaREZGIiUlpa1FIohOSVeJPc4Yw/79+7F//34ADTERZ86c6RQ+qT0kdGxTQ2JcXBz69evnVNa3b19s3bq1jSQi2prmHAU8U1iDA+fKEC0LQb+ECEhFfFRr6tBNLkat3ogDZ0sRJhFCpePgcG4lDCYzLpdr0CNWZp94R0hDcK5Y6WQ4LFfpcTSvCuVKPQ4YytAjVoYhqdHQGc3oFR+OWLkE5So9qjVGlCp19sUB8SdarRYLFy7Exx9/jJdffrnR+hwOB926dWsFyToXvgzxtpdvXIQkIMNcUwjGi97WRt+ECAxPj2nysxtLZBAmFkImEXq87novYww7duxAbm4uBAIBFixYgOjoaLf7GsPmBc0BJyj/DhWdfGeWIFqLYB91dGzPVTdlpEQjQhri9izHeo15S9liM1drDACAKFkIIqQhMOuU+OarL6DVUCxxgmhJzGYzNm3ahPLycoSGhuL2229vF7HLCKIz0hVij1utVnz77bc4evQoAGDs2LEYN26cm1NNezCqtqkhcfTo0U5eRwBw8eJFJCcnt5FEREfBkxX+aF4VjuZWIkwqRLJChsIqLY5crkJSdChkYiGqNQZEyUIwNC0amWkKnC6sxtmiGuRXqHGmsAYSkQD9EyPRNyECSp0BOqUZxTUNR5nLVXqYrVaUKnVQao2oqDXAam0wGNqMn7eMSPXpOdCVeeihhzB9+nRMmjTJL0OiVqtFcnIyrFYrhgwZgldffRX9+/f3Wp8SMTXgyxDv+PJt6RdOc170f3rYmLwmGQjk2f58J1IRHwWVWlSpDW7JmBzv3b17N06ePAkOh4PJ025EaZ0QApU+4O/T5gUdLAqrdUFriyC6Ms2Na+o6N/HUXmO6yVWH+fI6SFaEIjNN4eSRmKwIRd75kzDXmxChiGtyXwiC8I3VasW2bdtQUFAAoVCIhQsXeoyXTBBEcOgKsceNRiMKCgoAANOmTcOwYcM81msPRtU2NSQ+/vjjGDVqFF599VXMnTsXhw4dwkcffYSPPvqoLcUiOgCerPBDUqOhNdQjWtaww//zOdaQYKWuHtFhYvRPjET3qAYvAADILVdDIuSDy+HgdGENGABpiABTBiXYMyUCgEZvQqxcgiGp0Sip0blN2G14y7zY1dm0aROOHj2K7Oxsv+r37t0b//vf/3DNNdegtrYWb7zxBkaNGoUzZ84gISHB4z2UiKlxWvPl25xnOWY/n3RNQpOMdP7eY6t7KKcChy9VQF1nsic2cG3j4MGD+O233wAAN954I0zSmDbfCbSRFEXeDwTRHvDlIeBNNzVmfGyszSkZEvc2Ro6EVCpFXFwcnnny0WB3kyC6PIwxfP/99zh79iy4XC5uu+02OklDEESzEYvFuP3221FeXo7evXt7rdcejKptakgcNmwYtm3bhueeew7Lli1Damoq3n77bSxcuLBJ7bWHs+JE6+DJCt8/KRL9kyLtn6/PSEK92QqlzghjvQUDkiLtRyQP5VTAyhgGJEc11NEaEREqwpDUaBRUapFbpoZMIkSKQgaZRIghqdH29g/lVOBcsRLJihC/Yqp1ZYqKivDoo4/ixx9/9DthyrXXXotrr73W/nnUqFHo27cvPvzwQyxfvtzjPc899xyeeOIJ+2e1Wo3ExMTmCU+0CTYPGwbWortsju+LZEUoLpSqoDeZPR5zZozZdwcnTpyIjIwMe6Bnf2Rs6XdTDOkagmgSwR6bjmFRGntuQ6xmBg44KFM26BN/PBQ9UVCpxcmLBaivj7O3MXDgwC7rnU8Q3gjmmOfxeACAW265BampqcEQjyCILogtifCAAQMAAHK5HHK5vG2F8oM2NSQCwIwZMzBjxoygtEVGnK6DJyu86+Sgf1IkosNC7AlUpCI+DuVU2A0HQMOk/8C5MsSEizGmbxz6J0WiXKXHhVIV1HUm5FdqYLUy6Ixm+3N8Terbg5txe+LIkSOoqKjAkCFD7GUWiwUHDhzAe++9B6PRaJ+IeUMgEGDw4MG4dOmS1zqUiKl1aI3Nmli5BINS/vTs9fTcYMjhGodsSGo0juZVYUhqtMdnzJ07F2fPnrUfsQ9kJ5DeTQTRPgn22NQZzW5zBm/PtXlep8eF+zQ++qNrwnhGVJ7eC3OxHEN73On3xh1BdDWCNeY5HA6mTJmCa665BnFxFEKAIIimUV5ejvXr10Or1UIoFKJXr15tLZLfNNuQaLFYcOrUKSQnJ7d5XAgy4nRtPE0OHGOR7TpeiCO5VRiaFo2pGUn2I41WxpAeL8eglCh7W7HhYsSEh0AiFCC/UuM0wfc1qW8PbsYtQVPH+cSJE3Hq1Cmnsrvvvht9+vTBM88806gR0fHZ06ZNC1huIrgEawLemCHQ9TmNfQ6kbRuu7wtXA0BBpRanckvAWDxi5RJwuVz7TmGg0LvJmfY0byC6Ni2ZXKWxejbPaw440Cv1jRofAc/6rbq6Gl9v3QyToQ5miwyMddyEb6QbiJbGnzHqax5RWlqKmJgY8Pl8cDgcMiK2EqQbiM5Ifn4+Nm3aBKPRCIVCgdjY2LYWKSACNiQ+9thjGDhwIO655x5YLBZkZWXht99+g0QiwTfffINx48a1gJj+0VmNOIR3XDM1+8pGy0FDtiONvt7umSgV8REmFtq9kIAGA0KZUo++CQ0vKn+8CzobwRrnMpnMzfgilUoRFRVlL7/zzjvRvXt3rFixAgCwbNkyjBw5Ej179oRKpcKqVatQUFCAv/zlL0HtIxE4wVp0N2aQdH1OY/91nPS7tm27JhXxnRKp2KhSG+zXbfqjXKVHWUUFyo//AJmuF5KiJ6OoWu+3B6TjsUVbRviu/G5qz/MGomvjb9zCprTnqw1bbENbPblU5JdePZFfjcO5lchMU2BKhgQ1NTVYu3Yt9HodBNJwZIydDrFY7Le8bQ3pBqK18ed97G2OUlxcjE8//RQJCQmYN28enYRpQUg3EJ0BX/OAs2fP4ssvv4TFYkFSUhJuu+22DvX+BppgSPziiy9w++23AwC+/vpr5OXl4fz58/jss8/w/PPP49dffw26kAThDddMzbYYiJ4YlBIFuVQEpc5gnyAA7oZCqYgPvakehZUa9G3EONlZac1xXlhYCC6Xa/+sVCpx77334sqVK4iIiMDQoUPx22+/oV+/fkF7JuEf/mQg9VbXF40ZJF2f09hnx0m/a4wy2zUul+OUad21vG9ChF1//HwyH6d/+R5mowHKqgocyy3H8cJauzdzYzgeW4yQusdS7WrQvIHoaATD+9rfNgJJ1MbA7P9VqVT49NNPodFoEBEZhcHjZiAiLNS+UdoR9A7pBqI94mmOUlVVhQ0bNqC+vh48Hg98fptHB+vUkG4gOgO2eYBKZ4Rc+uca6dChQ9i5cycAoE+fPpg1axYEAkEbSxs4AWvBqqoqe1aq7777DnPmzEGvXr2wePFivPPOO0EXkCBcOVNYY49l5pqp2Rc240O5So+Cq4PZhqNn09G8KpQp66DUmpDkwTjZFZL6tOQ437dvn8/Pb731Ft56661mPYNoHrbfuFJnwKUralwoVWHKIN8ZlANZeAfbQ89x0l9QqXXaHHCMh1pco4VKZ0S5Su9UbvNUBICiChX+2PMNzAYdpKFh6D5oHM6VaWAwme1eza646oTGEsZ0BR3iCM0biObQFuMlGN7XgbRh059KnQER0hCvfc1IiUaENARRIVasXbsWtbW1iIqKwl133YXQ0FB7MjigQc9WXE0K1V4h3UC0R1znKBqNBuvWrUNdXR3i4+MxZ84cv0LzEE2HdAPRGbC9/x2dmOpUFXYjYmZmJm644QYnh5qORMCGxNjYWJw9exZxcXH4/vvv8f777wMA9Ho9KVWixSlX6fH14XyU1OgAAHdk9XLK1OzrPlfPKhuunk0avQlxEWKkxYZ7XAB0hcQJNM67NrbfeFyEBGFiITR6EwoqtX7HHGzNhb+3Z9nkcRzvOqMZ54qVkEtFGJ4e43YE0WKxYPu2rdDVVkMoCkH6iMnYe74afB4HA5KinOKoOuKqExyPLfpTv7ND+oRoDt529P0hGEeUm/qcQNqw6SuVzuhTN9jKTl8qhNFkQmRkJBYtWoTQUM9hHwqrdX73oS0g3UC0BYHoBYPBgPXr16O2thaRkZFYsGABhEJhK0nadSHdQHQGbPpFpTOiW4QYyYpQxIQrMGzYMISGhuK6664Dh+PZSaEjELAh8e6778bcuXMRFxcHDoeDSZMmAQD++OMP9OnTJ+gC+sPh3Er0T+V3iQVZV8X20lfpjODxuOgeKcWQ1Gi/7/3hRDHUdSYAvhfujpNwb/W6QuKE9jjOidbD9Tdum3A3FvPLVubqFRNMXGXwZMTzNXaVOgNUOiPOFNbYPRELKrU4W1SDQ/uzUX2lGFweHzNumYPSOj6kIj3iIiU+PTID1QldQYc4QvqEaA6edvT9jWvYWkb7gkotsnMr/PLe9oRNb50prEF5bZ3XDM7A1TiJBXr0H3k9xl2TBJlM5taOjaQoaeCdaUVINxBtgb96wWw2Y/PmzSgvL4dUKsXtt98OqdT3mOpqJw5aCtINRGehoFKLkio1esfL7Trhhhtu6NAGRBsBGxJffPFFDBgwAEVFRZgzZ4490CyPx8Ozzz4bdAH94WKJCqGhMlLYHRhfL15HQ2DPbmHI6hcf0Ava5mUYJhH6ffy5uXWag6fvoq6uDr8fPtZiz3SlPY5zovXw5rXrr4GwJQ1lrgv2QJ4VK5cgQhqCc8VKlNfW2WMmJitCoaoqx8HSPIDDQe/hE1Fax4dGX4/RfbvZE6b4atefBAue6ncFSJ8QzcFXWBLAeaOxTKm33wP4r4uau/hPVoTiQqnKL+9t12c6hlfQGc3Q6E04mleF6DDn+Ko6nQ7V1dWw5WQOkYUjPDzc5zNi2rmeId1AtAaewo/YNhXLVXqv47W6uhplZWUQCoVYuHChX9mCu9qJg5aCdAPRWYiRcvHbuQM4XyzBiN63g8fjdQojItAEQ+Knn37qMVPV/PnzsWnTpqAJFgi9usu7jGdHZ8XXi9fREOhrQd/YEcdAFwhttavo+F0AwB9n8nDu9x+hqipvNRna4zgngkNzftfJilCodEYodQafk++WxHXB7nhEGWi8f66xEaUiPgoqtRjUNw3ykFkorVJBrIjHkdwqAMCkawLzLmrKIqKzezCQPiFaEtuY6xYhdkuO5q/RvrmL/1h5g9eybRwHIrfeZIZSa0RmmgKDUqJwoVQFdd2fBslylR7ZF4px+pedMOk1COkxAr1SeyAjxb9TGe0Z0g1Ea+Dp5IJtU1EuFXnf9IuNxd133w29Xo+4uDi/ntXVThy0FKQbiPZGY3N1T9eVSiW+3roRtTU1MNWJoVQqER3d8d/dNgKO7Hj33XejtrbWrVyj0eDuu+8OilCBkpmm6JSLr65EsiLUY3bkcpUeKp0RaXFhfid7sGU+tBErl7gZG/zBW3stjeN3cfzsJRzbuwMGbS2EIa33G2+P45wIDs35XcfKJZBLRbiirPN5f2PPKFfpcSinAuUeEgG4XnP9bFuwZ/aM8RrD9PClCvxwothj+zZ9EB0WAgAortLYZU1O7YH4lF5IiAzF0LRoZKYpPOokb7IDzuO3sbqOMreFrmktSJ8QwcDbOLGNuYyU6Ca96x3baM7iP9C5hu2Z0bIGXcTA7PptWFqMXYfsPJyLw3u/gVGrghk85NXUo67e0inmvaQbiJbE9g6Wivhu49vXmNfr/3xnx8bGIjU11e9nNnXNQThDuoFoL9j0yPH8Kp9zddc5SllZGf773/+ipqYG4eHhWLx4cacyIgJN8EhkjHl0xywuLm70iEVr0dm9OzoTjkd7AKBKbXCLf3aioBoWixUSocAvT6Ng7QK21a6ibbf09OnTyN6zA7BYwJfKMXrcZCx78Z+tIkNHGOdE02ju79rT/Z6ODfl6RmMeyI7XPNX15mVUrtJDqTOAy+U4efR4qvfDiWJUlxbCWHoaw8dPt8dKPFesRN+ECEzNSApYdlfZGjsK7qj/mmvEaM+QPiECxdOxX296xTEeoo1A54DBDDfQWKgW18RvDX2T2Q2Hx/OroNHXQ6kzwFxvQsnxveAYNeAJQ9BtwHjEC/2PEd3eId1ABANP+sJx/tA3IQLD02Oc7vE25o8fP45du3bhtttuQ3Jycmt1gXCBdAPRXnBMQOlrru44R8nNzcXnn38Ok8mE2NhYLFy40CmecWfBb0Pi4MGDweFwwOFwMHHiRPD5f95qsViQl5eH66+/vkWEDBSKT9FxsP1bcbkcWK3M/l8A9gl2tdqA/Eo1anUmJFw91ujJOzHYccfaIo6ZbTIkgBnf7fgaFosFMQkpCEnOhJUnaryBZtKRxnlnpaU3Qpr7u/Z0v6vOrVIbcKFUBanozyRYjv3yZWh0zf6s1BkQFyFxq3umsAZH86owJDXanrn9eH4VjuRWIT0uDMmKMJ+GzOrKK1Bf+gPMakbdlRzEDkl3k8ETUhEfXC7HZzIET33xJoe3RU5ngPQJ0VRc5wYAfHr5uIYECeYc0NFIUVKjAwPzGWbFVR866r4T+dU4nFuJzDSFx8zux/Or8MOJYpjqLegWJoSg9DDMOiV4AhFunXMbIqMVKKjU2j2qOyqkGwhPNHX+40lf+LOp6UpOTg527NgBxhguXbpEhsQ2gHQD0d7wFiLNm77KzbmAn77/BlarFampqZg7dy5CQjr2O9sbfhsSb775ZgANOzVTp05FaOifSlkoFCIlJQW33npr0AVsChSfom0JZCLQ4AWkxsVSFcRCAdLjwqHSm+yL9Fi5BDHhISiq1kIawkeYWAiN3oQT+dWQSzuf16njZCiqzyhIzEoMGT4GxwpqIBXyWvz5HWmcd1Z8LULb02/dcXHtauw7mleFY5cbYgzajHyO/XI0CHjy0HH06LuirEPfhAi3vh/Nq8IfF8tRUq21JyXgoGH3Olwi8mmYC+eboMs5CGY1I1wRj4wR1wHwnDTF1cNBZzTDamXQGc2NfkeNGW07+7uK9AnRVFxjmTY2RjyNpWCNK8f3clFVg9djhDTE69j2lPXepvsYGAz1ZlwuV9vjzBZUanHgbCnMFitiwsWQiPiICxOBW5wNTW0VwBOAkzQCGiaGppNslJNuIDzRVEcQb/oikI3TkpISbNmyBYwxXHPNNZgwYYLHeu11TtZZIN1AtAc8rU1c8XaCKl4iBJ/PR3p6Om6++WYnY3hnw++eLV26FACQkpKCefPmtWvLalfLiNneCGQiECuXwFBvRX6lFmFiIRThYqjrnDMWTs1IgiJcgiGp0YgOC0FBpRZKnaFZk+n2OBGoq6uD2KpF34SIhslQvNx+3NJqZdCZLC0uQ0ca550VX4vQ9vJbBf6MRaiuMyFMLERmzz+Ng7ZjdykKGQ7lVPj0QrT1T6Uzum0O+DK0DUmNRkm1Fnwe136EeVBKFORSkb2+p3Gu0Wjw/Y6tMJsM4ISEQxc9CMU1dYiPcj5y4No/oGkeDr7o7O8q0idEUwl0bLjWD2aiI0cjRWy4GAzM6/j31J6jzkhWhCKvXIO8cjXWHchBUnQoOAA0dSZUa4yQS0UY06cbmJWhUh8Oo1aF3tdOhVQe1SJG0raipXRDSUkJnnnmGezcuRN6vR49e/bE6tWrkZmZGZT2iabh75y7qe/X5r5Lq6ursWHDBtTX1yMtLQ033nij16yq7XVO1lmgeQPRHvBnnLvqK8f/Dk67F1FRUZ0mO7M3AjaRLlq0CABgMplQUVEBq9XqdD0pyXNcKaLrEOhEYEhqNLQGE0L4fIQIuNAZOPaMrLFyCfonRdq9mgAHLy2p/9kRXWlvE4Gamhps2LABOp0O99xzD6KjI93qRIqsHu5sGWictx2uE+L26rWWfDXMgN5khkwidJLPNmYdYwR6O5b4p8FUg8O5lRiaFm2PT+hrcdA/KdK+sWA7Bu24UClX6bHtjzyU1ugwpm8cBqUAl0qqcWzf11CpVAgLl6NbxkTUGj0fU05WhOLo5UoodUYI+TwodQacKaxx8k4k/IP0CeGNtt7U82cuYNND5Sq90/j3JLutPaXOAA44YGCQCAXIr9RAKuKjf1IkUmNlyLlSi7wKNUqVOkSFhmBgUhTq6i0YkhoNndGMc8VK9M4cjxum8p2CszeWuKmjEUzdoFQqMXr0aIwfPx47d+6EQqFATk4OIiIigiozETj+zrnbYnNNo9Fg3bp10Ov1iI+Px9y5c8HjeT8B1F7nZJ0NmjcQbYm3cW6LY8wBB4NSojA8PQYWiwXbt2/HkCFDMDw98WrNrrFGCNiQmJOTg8WLF+O3335zKrcFRbVYWt5rimjfuB4PPJFf7TWmULlKj5IaHXrEhkGjr8fFstpG45u5PiMQgpncwFOMtqZQWFiITZs2oa6uDuHh4W4vS1tf1Wp1k58RKDTO2w9t6bXma5EfK2/ILtrcBEi2/ql0RgCwH0/2B0+JTWyejUqdAaVKHXRGMxgYCiq1+P2XfdBWVUIqlWL6zbPxR4EOFmbyekyZARAKeBCL+LiirENFrcEp/hLhH6RPCG8EuqnnacPAUwgCfwnEKODpGFN2boVT3GZbOyqdEYdzKwEAxnozSpV6FFRocDSvCikKGaYMSoBGXw8GIFwixKCUKESFCnH06FEkpfe3yxTtIx6t7XNH3tgIpm5YuXIlEhMTsXr1antZINl2iZajPRvffv75Z6hUKkRGRmLBggUQCoU+63f2kwTtBZo3EG2J6zi3zTVUOiN+PX8FOkPD2mJc31hs3rwZeXl5uHTpEh555BEIBII2lLx1CdiQeNddd4HP5+Obb75BXFxcp3fZJJpHQaXWPpn2FFPIdt1gMoPDARgDwq56N9kyMAbzhd3c5AaOi5ifz5XhyOVK6Az16J8U2STPilOnTmH79u2wWCyIj4/H/PnzneKBOD73TF5lwPI2FRrnXQtvv11Pi3x/4obYCGTC3T1SivLaOoiFfPtx6Mbu9ZTAxRb2IC5CgtF9utl3DQHANGoszmdbMP2GqSjS8qDRm+z6xrVfBZVaMCtDrzg5UhQy5FdqkKKQQSTgQSryX0aC9AnhnUANDN5iErkmWWgNWW1e2Y4nKBy9F4GGmIil1XpoDWZoDfX22LFTBiXg57NlqNLUoV9CBKJlImzevBk5OTkYXl2NG264oVEZPBkyAWe9KOa2yFcRNIKpG3bs2IGpU6dizpw52L9/P7p3744HH3wQ9957r8f6RqMRRqPR/rk1N2u7Go4eu46f2wNTpkwBYwyjRo2CVCpta3GIq9C8gWhrHN+lfyZzDEd8hBSlNTrUKNX4vw+/hkZZBYFAgJtvvrlLGRGBJhgSjx8/jiNHjqBPnz4tIU+TqFDpcb7cQIu6dkiyIhSZaQqvMYVs13PLa6EzmBErlyAjJbpFjh7bMsDakkPYAp37e68tNuMVZR0AIEomQphYiChZQzblQGRmjOHAgQPYt28fAKBPnz4YPeF6nC3TI1nB9WhwvViiCqC3zaM9jnOi5fD22/W0yG/sd95UT11bEpP8So3fBgHbi93xOLQt8cuglChUqQ04mleFKrUB/ZMiEStPxpiBdwEAuFcX+rb3xqGcCqdFebIiFCqdEQwMdaYG2UQCHoanxzgd2aZ3TuOQPiG8Eah3j7eYRP4kZfF1FNkmi6/6nuIwOnplu97XPVKKkhodQsUCTM1IhLHegjNFNUhRyHA8vwrbs/OhN5qhN5hw+mAOcnJywOXxoOVHeZ2fuMpwoVSFcqUeP5wothsTHfvUJ7Z9xxcLpm64fPky3n//fTzxxBP4xz/+gezsbDzyyCMQCoX2Y5KOrFixAi+99FKzn0v4R3vyprV5tQEAn8/H9OnTW10Gwjc0byDaGkedpdHXo1pjQK+4cNwyIhVnc4vxx56vYdRrIQwRY9EdtyM+Pr6NJW59AjYk9uvXD1VVVS0hS5MprNahSNVwNI0Wde2LWLkEUzJ8eyxNyZCgXBXlNqlQ6gxQ6YxOE+rGjkq74rgQKKjU4oqyDnqTGRfLasEBx6dsjtiUSVyEBN0ixFDpjOiXEIlkRRiM9RZ8tv8iUhQyv49LHz161G5EvPbaazF58mRkX6r0uqBJVoRCq5X7JWswaI/jvLPT0rHCfLXvzSvIk2u/zVDnzSvPU8ZmVxmkIj5KanRO49j2bGO9xR5PzFdfTuRX40xhTYM389Xj0LYxbsvy/MOJYpw5fhjqUjn6J03z2rdylR4qnRE8zp/xWYenx0AubRj33SLETmPb9b9tHeetvUP6hAgWnjyb/B1znoyGvjwiA4mfaKNc1WDUK1fpYbZYoTeaESLkY9I1CQCAGq0RIgEPdSYzAAYwK9SXsnFeewUcLhecxGE4VQUYHAyDrjjq0ZjwEOgM9VDXmezfiU1HN/Sp8ezybUkwdYPVakVmZiZeffVVAMDgwYNx+vRpfPDBBx4Nic899xyeeOIJ+2e1Wo3ExES3ekRwcPWmbavNOMYYdu3aBQ6HgylTppCnWzuF5g1EW+Oos5Q6A6JkIZBJBKjX1uDwnu0w6vWQhIbhplvndkkjItAEQ+LKlSvx97//Ha+++ioGDhzo5sIZFhYWNOH8JSlKitBQbruMvUH4h6ed/ghpCM4VKyGXipwWD76OSrviOFlxTOqg1DZ4GnnD1TDgaQIkl4owPD0Gn+2/aDec3JHVy6/+Dho0CKdPn8aAAQMwdOhQJ/k8/Y5j5RKI0xR+tR0M2uM47+wEc2Lty/PGU3Zkf44d2RbI6joThqXF2BMCuNZvSJ5UjxABz82rxvEYYlFVw7Ns49j2dyinoiFL+dW4ha4x0KQiPo7mVSGnVAVwOEiPl9uPLjuOoXKVHuUFFyFW5aBKBRQXXwNBaKTHeGoFlVqUKfVIjZUhQhri1dvJhqu+am/Jm9obpE+IYNKU8ea4CeL4jvVmiPR2gsFbjEZHXaLRm2C2WMHjcREXKUWPWJlbxuUGj+ck5B37BYbqK2DgIDz9WvTt0wuXyzV2w6DtGY7B3V2Pc/eIDbNnq3fdTGnvx3WDqRvi4uLQr18/p7K+ffti69atHuuLRCKIRKLAhSaahKexFsi6LVgbdr/99hv++OMPAA2/D0ra0T6heQPRUvjSJd7CN2WkRNvXB7/t3QW9Xo+4uDgsXLiwS4dECNiQOGnSJADAxIkTncrbMvhpjFyCnqRQWg3HQQa03PEET4a1xo5K+2rDphAaJvEyr/c7GkwAOBk5bDh6Sw5JbcioaPuvN9RqNWQyGTgcDvh8Pu68806nndD2FMC5PY7zzk5TgpEHEtvQMYagp7havhbnZwpr8PXhfNRbrEiJCXMbk470T4qEzmhGdm6F03E7x7pSER+x4WKP49j1e3BcNKvrTNDoTeBfXaBHy0QIkwjt34VtsZ2sCMW3+7OhzTsCDoDwxL5ISEiwH0m2LcBtRlXH5EuuGxo246Yvw0V7DiTfHiB9QgRCYwYDW9iBQEKUuBrYGnumLWxCZKgIOqMZBVKt27Fhx3q28ApSER8yiRCJ0aFQ6U1IUcigN9XjRH41BqVE2Y19yYpQhFSfh6G6CAAHvKRMdE9KRUZKtD28i21D5IcTxcgpVSFE2DBlZ2CIi5Cge6TULcFMldoALtdzJvr2SDB1w+jRo3HhwgWnsosXLyI5Obn5ghLNorEwAf4QjA27EydOYPfu3QAaYiOSEbH9QvMGoqXwpUu8XXPUWTNnzoRMJsPYsWPtyZm66smkgGcae/fubQk5iA6Ea5yTlvLE8XaEyd/jyI73NFbmiM2jwJaEwVObEdIQHL5UgfLaOkwZlNCoJ2JBQQE2b96MwYMHY/LkyQDg8ThFe1FENM5bn2BOrD0ZtmztnymswcHzV1BYoUFsuNg+nnwZw47mVaG4WocomQix4WKv8tp+v8Z6CzR6E/RGM07kVzt5QNrucUxQZGvP0+/fdqRAo6+HzsBBvdkKg8mMZIUM4RIhypR6FEgb2rBlUlPXVKDo5M/gADBIumHwgGF4f9dphPD5iI+SICEyFCU1OuSW18LKgGFpMV6TL/lznLs9bQK0R0ifEIHQWJInACivrYNGb0KENMR+jy/vAsfNAn+eaQuXEHV1s6KwUgOlzoCEyFD0TYiw64LSaj2qNQ36Cfgz1qtKb4K6zoRfz5ehXKWHzmiGWm9CkkJmf07Pnj1x7MRJVIX2RpQ4Gnqj2R5WwdaPQzkVUNeZEBcpQVpsOBiY3SDqKQat7fneMtG3N4KpGx5//HGMGjUKr776KubOnYtDhw7ho48+wkcffRS0ZxBNw9tcJZA5b3M37C5duoQdO3YAaAgpdO211zapHaJ1oHkD0VL40iWerjHGcPHiRfTq1cvuDGQzdNvoqieTAjYkZmVltYQcRAfCm6dgcwjEsyrQ9qrUBhw4V4YQPg/do6QYlBLlsy1XL0ZvdS6UqpyOH3nj5MmT2LFjBywWC86cv4R+g0ege7RnD9oT+dU4nFuJzDRFQAbTYEPjvGNgM7K5xhL1ZdjSGc2wADAz5nS83zVmoON4TFHIUFKtRWy4BGVKvVO4ARs2r0U+ryFZEI/HhcViRa3ehDJlgzHOdizAmxekt/FeUWuARm+CIjwEKp0RWl09cspqMTQt2sk4EB8hRemVclz44wBgtUAcGYdZM2/B8QIlDuVUQMDjYva1aXavSa3BDIvF6ua94xiLFYB94a4zmnH4krs3J+Eb0idEIDSW5AkA1HV/bvb5413QNyECw9NjUK7Se9wMcH3moJQoMDC7QfFiWS2AhlAMjgmXanQGALDrCqmIDy6XY8/0rr+qZ2q0RpwvUeG6fnH2elpEQ37NVBQUacHVmgCo0SO2YW5g00G1ehPSu4Xb5y3lqoaNE29zro7mHR1M3TBs2DBs27YNzz33HJYtW4bU1FS8/fbbWLhwYdCeQTQNb79Lf+f4zd1kLykpweeffw6r1YqBAwfaN/SJ9gvNG4iWwrbe8TQfcHViUoSF4Pvvv0d2djZGjx7tZkC00dHevcEiYEPigQMHfF4fO3Zsk4UhOgae4hn6g2usM8eji0qdAZeuqN0W6E0dmI6TkwulKhzNrQSHA6TEhHk0gvjqn7c6nrI1OsIYw/79+7F///6GexJ7QJQ0BCVKg1dDom0x4it+Y2tA47xjYPOOdY0l6ohrfK1kRSiu6xNnT3TiCVeDtkjAQ1yEFN0ixE4xBB2f8fXhfORVaNBNLkZkqAjaunrIQgQIlwiRrJBBpTM2mujAk2G0oFJrNxqESYQIEwsRLhWhR6zMLeHStIw4rFuzE/UmIyKiY3D/vXdBqTcjpLQWsXIxGOOgVm/CoZwKSEV8dJNLoNGb3Lx3HGOxZqYpnIyVvjYQ2otHcXuD9AkB+D8+PL2DbQY6qYiP6LAGL0RvxkBHHMMpHMqpgFJnwBVlnf26p1hINiNeXnlDBnlFuBgRoSKI+Dz7cWqbrrpUpoJSa4C2rkGH2DwC60xmhAi4kIUIEBEqgkpvhLG+Hj/t3Y/ohDTsKdKi3myF3mgBA0Olpg5VOgNiiyS4rl+ckw4amhbtNbmMp3mVN+/q9kiwdcOMGTMwY8aM5ohEtADe5tX+zvGb4+1jMpmwceNG1NfXIy0tDTfddBMlWOkA0LyBaGm8nX6whTezWMzY/8MvOHfuHAAgNNS7nuqqJ5MCNiSOGzfOrcxRIVPMgq6Np4WCrcw2gbfFJ7Nhy4YcJhbaM6b641nl65mOkxOpiN+Q/OGqR6Kv2IiBGAF8yWY2m/H111/j5MmTAIBRo0ZhYOYoFFbpfE6YHIO5tiU0zjsOjU3ECyq1OJLbkAzIliCoMW9XV4N2Y166BZVa8HlcpMbI0LNbOC6W1YKBITZC4uRJY0sIYMPTpoSrYdS1f65ejY4kxkQgNC4NVUWXENZrNIRCIQoKVNAbLRg/oDsipCF2g2bfhAivmwGOsVhdPZh9bSB01aMNjUH6hACaNz5KanQoqtIiNlyM/kmRPkMLOHoUZ6REO3kQxkVI7BsDJ/Kr8cu5MoRLRRiQFGHfmLAZ8Qz1ZqTHyREuEUJvNIPL5eCKss7uEVhRa0BepQYqnRG55Q1JTaQiPupMZhy6VI5ylQESIQ88LtAtXAJO5QXkqPJx4ewplEdlot4McLlc8DgcSEUC8HkchPB59o0Omw7S6OtxJLcKmWkKDEpxNn66Jl5pynfblpBu6Lq01rFmoVCIG264AX/88QfmzJkDHo/XJHmJ1oV0A9HSuG402k44aPQmSAXAqV92oqykGDweDzfffDMGDBjQxhK3PwI2JCqVSqfP9fX1OHbsGJYsWYJXXnklaIIRHRNPCwVbmW0C7+qRqNI1ZFAekhqN4hqt2zFNG4Ecf3ZcWMTKJfZYQmcKa/DDiWIMSY12iy/k2o635zU2+WGMYdOmTcjNzQWHw8H06dMxdOhQlKv0jfanvexo0DhvHYLhwebrSDLQ8KIcmhZtT0LiD64GbV/xEJMVDRlIx/aLt9cPkwidPB5tL2jb0cJdxwvtHpIAnDxqjPUWcLkclKv0eH/XaShkYlzXL87t2IEnKmrrEN/zGphkibByhdh1vNAe08z2nTgaND15IdnknpKR6LGvvsZoVz3a0BikTwigeeMjEG99R28+W1Z4W4IWW4KnWLkEDFXQmcyo0RlhrLfY6zsa8RIiQ3G2WAm9yYwBiZHQm+qh0hlRUKnGxTIVYGXgcrgwW6wAGjwSS2t0KKrWgsflwmKxQCTgIQkl0KvyG/oQ2QMpMXJcLFOhWluH+IhQJMfI0E0uQWy42D5f8tR313mK40LIcV7VUSDd0HUJZGOhuXPj/v37o1+/fuSJ2IEg3UAEG29rrrPFNcgpUyM9LhzhEiES5TzkH9mDmuoqCIVC3HbbbUhNTW1DydsvARsSw8PD3comT54MoVCIJ554AkeOHAmKYETHxFf8RG/GErm0YTIRIQ3xeUwzkMQSrkYBW/2jeVU4lFOOkmotosNC3NpxzATpy+X5ikqPblePN7vKyeFwMHjwYJSUlGDOnDno0aOHR/kbCyjflgZFGuetQ7A92FzjiHkaA/7gLX6I4+/T8VmOyQEAOHk8umY8dvSQBBqSJqjrTAgTC2G1MnC5HGj0JpzIr0K1xoDI0BAkKWT259uOaYuFfORXajA4ORLFOacQ1r0XSlUGXCyrRWSoGFdUelxR6e0xzVz7Zn/+1T6pdEY344On77W5YRG6IqRPui7+GuEbe/f5463veMzXZgh03AyRS7XIzq1ARa0BUwYl2Dc6NPp6yCQCqPUmHMmtQnpcOJIVMiQrQnE8vwq/55SDx+UgNESA2HAxypR6FFdrUa7Uo2e8HMZ6C6QhApwprEGyIhRyqQilSj0EPC44XA641TnQ6wsBAKXCFAgEsZjcJw6lNXootQ1GTC6HgxABD90jpZBLRVDqDPjpVAlUWiNG9uqGSdckeJxXdXSdQ7qh69KSG29msxm7du3CmDFj7L8xMiJ2LEg3EMHG2zq8ztQQmuRiqQo1mjpEVx6CqU6D0NBQLFy4EN26dWtLsds1ARsSvREbG4sLFy4EqzmiE+FronumsAZHLlciWhbicZLsiDeDoTcvxV/OlUGpM+JyuQazRqQiVi7BkNRolFRrweNxnY5Q29qxZUR0DGbuGvBdozfBYrHa46TZyhMiQhB/NfZh//790aNHD4jFYq/yNxZQvj0uDmicB5dgT6Qd2/tzDJicxoC/OMYJafDkqcLlcg2Y1TmpgLHe4jF5gSeZGsaZGiECLpKiZVeP7TXEP7QlJ0hRyHC6qBoGoxl8LgcSIQ+FlRp7n2xGSGO9GYWVGlw8+gv46iKwkFPg9bgWKl09usnFToaEcpUeP58tQ6WmDmP7xiM6LMRuZC2p1uNMcQ1SFDJEhooQJRO5/XuQp2HLQPqk8+PvOy0Y7z5bG90ixPYkKY4kKxqSpNlCqAxPj0FGSrR9DnEivxoAUKUxQH81bioHHEiFfJgsFuSU1SJEwEPfhAhUawxgAGLlYoSGCHHschWO5lXhjqxeGJAUiZIaHfhcDsTqPHCuGhG5sf1QWRsKS6UWB86WIiO1wZBpsTJcKFGiVme0GzCVOgO4HA7qLVaodEZ7H7xt8nQ2SDd0flrKCM4Yw/bt23H69Gnk5+fjgQceAJfLDfpziLaBdAPRFMpVeqh0RkhEfPvJR0eP/pIaHfaeLkaNzoSE7n0RprqMhQsXQi6X2+9vD44+7Y2ADYm2mG82GGMoKyvDa6+9hoyMjGDJRXRQAl0MHM2rwpnCGiRESTH2ajZDm1egqxeVp0nH8fwqJw8C2/EeqYgPuVSE4mot8ivUdqNh/6RIRIeFuMU4cz1+7agoHIOcezpGdDy/CtmHj4GvvIQH77sXYWENxkRHI6In+T31p70YLGictw7BmEj78viJj5SiUm3A2aIa9IiVYWpGksd7HX/PtvtP5Fcjp1SFuEgpGBiO5Fahrt6M+AgJzhTWIL9SjVCxEACg0ZucEiV5k+lQTgVyytQw1JuhqLegb2QEgIbFut5UD6uVQSTgIS02HJfK1DBbGcpr63CyoBoyiQAccJAeFw6A4UJpLUL1heAbisAA1MkSECsSgsf9Mzv7ifxqHM9vMDwevFgOdZ0JoSFC9I6X270PjfUWqHUmVIvqkBobjmRFmF1WR/lp4tB0SJ90Xfx9p3mrZ9MlhZUaXCyrtSeA8tWGL+/imPAQxIaL7XVt737l1ezL6XEN4z9cIrLHWE6Pl8NstqJMpUe4RAipiA8GoG/3CIztG29vO0Uhw6GcCnSPlGJKRgIKLp5FWV4OAEAt64H4+F6IRS0qNXrkV2hgNFuQkRqNgko1qtRGcDgNcwvbvKZXnBz9EyMRIuA6eZo7xpwGfIdiae+QbiCCCWMMu3btwunTp8HlcnH99deTEbGDQrqBCCYFlVqUKfXgcjmoLKtFeW0dpgxKsJ9YUusNiJKJES4RYUpmCvp0n+IUT7W9O/q0FQEbEjMyMsDhcMCYc5yakSNH4n//+1/QBCM6Jo0tGhwNF8U1DVkLo2Qh4F/1EATgdQHgCZvXQZXGgEqHI5KZPWMg5HFRZzJDyOP5TPDgKrfjNdfsta73MsZQfP4YLCXHYQGQnZ2NiRMn+vNV2TlTWIOjeVX2uI3tQUHROO8YOHoNAu4LyltGNMT0KK3RefTQ8RWon4EBHA5wNU4Y8Od423W8CFeUekhD+IiPkEBdZ4LeZMbx/CpESENQUKlGTpnabdFvS2JyuVxtz5as0dfj4MVypCpk4PG5KKjUoF9CBKZmJOJ0YTXKa+sQHykFBxxcKquFTCKE2WyFquQSog0Nnj4hCQPRv+8gcACo60w4fKkSe0+XglkZwqUipMeFIT5SikijCGIBD8b6hrhlHAADkyKhigtHikIGkYDndmy7PYzHjg7pk65LY0Z4x/efp2zDtrFYrTGgWmtAcbXOqyeeo7ceAKejzTZdqdGbkNnzz1AMjsbHMqUeelM9ypR6yCUiMDCo9SYcvVwBg8mC4T1j0T1Siq8P56O4WocRvWLRPykS5So9QgRc/HSyGKFiAcb2i0dGSjRO5cph4klQJ44FNyoNw3vG4PqMRHx9OB9XavXQGcwwmi0IFQuh1BlRW1ePA+fKoJA1ZKVOuLoh0hDOoR4FlWocvVwJq5WhZ1y4Uzb5jqqzSDd0HtqDMfvgwYP4448/AAA33XQT0tLS2kQOovmQbiCCie1daay34KeTRci5ooLOUI9bRqSi6NJZ/P7Lrxg+/kb0To5t9HQV8ScBGxLz8vKcPnO5XCgUCoSEhARNKKLj0tiiwbbTHhEqhFJruurhJEWPWJl9cGamKVCrN3lNugL8OWGxxROSivg4mlcFvckMmUSIZEUovj2Sj3orA5fb+I69N7lr9UZUawyo1RvdrpnNZmzfvh3FF04DAAZnjsCECROc5PNnQnU0rwrHLjd4TbkmgGkrWmqcv/baa3juuefw6KOP4u233/Zab8uWLViyZAny8/ORnp6OlStXYtq0ac16dmfEdtQ+7Opv3lbmGLvwlhGpXrMM+wrUn5ESjYpag93gZ/NmLFfpodabcOBsKYwWK4qqtAgTCyGTCMEBxyneiGtihFi5BFMynMfikcsVUNeZUKmpg0jAh1LbcLxvSkYiBqVEOclui6dYUZyHUNV5AECPfoMxZfIke78rautwtkQJi4WhT7zcnmgmWmYBN5wDndGM/EqNPblCrFyCmcNSPH6/NGEIDjRvILxhe/9pDSY3r2jgzzFYWKmBod4Ck9li9yD0lsE9Vi6xZze2UVCpxRWVHhaLFVIR3yne6qCUKHtsw8JKDS6VqaHUGqHSGcHhNGRqNpmtKKjUgM/not5iRUKU1O6BWFipwY8nilGrNyFcIsSI9FgUVGqRW2VCpaAfYkJl6CGX4ExRDVJjZRjdJw7ZlyrAwBAmFiD3Si0MJgv0RiNEfC6iZSGICBVCrTfheH4VrijrwOVycLqwGmWqOnSPECOrf7zTfKGjLnJIN3Qegm3MDtQwefLkSfz4448AgClTpuCaa65ptgxE2xFs3VBSUoJnnnkGO3fuhF6vR8+ePbF69WpkZmYGQ1yiHeGqOxydmC6UqlBXb4HOYEZpjRa7f9qLS6cPN9xYW4RYueekKnQyyTMBGxKTk5NbQg6iE+DPS9/m0aSQidEjNswp5prt3ikZifYEDZ6SrtjqnitWom9ChN2LwfHIcqxcgsy0GOiMZvSKl+NQToXd4wDwP7lJmESIKFkIwiRCp3KdTofNmzejqKgIXC4X06dPx5AhQ9zkc3yWN4ZcjZNk+297oCXGeXZ2Nj788MNGJ3e//fYb5s+fjxUrVmDGjBnYsGEDbr75Zhw9ehQDBgwIulwdDddsyYCzJ63rgtKfl190WAj6yxuOLH/5x2WE8PmIj2qIKeopE2iSQobJgxJxpqgG/RMjIRRwodabUFKtg8FsxoDEKLt3ny/5Y+USjO0bj9CQhhiJdSazkxeRI7YYpz8dOgVu6XEAQFxKLwwePho/nChGikKGuAgJLFYr+lkjwBhD96uelI4bDrbQB7HhYtTq/0yu5C3sgKvBgSYSgUPzhq6Dt3eqt3Lbe08s4PlMPpasCEWSQ/gSlc7o8x1bUKnF4UsVOHK5Ej1iZZAIBajW1EGlrcfZ4hoAwHdHCyHi86DWm+yhE/omRICB4UKJCjVaI4xmC6JkIQgVCxAlE+Ho5QpYLQyTBiUiv1KDcpUemjoTBHwuOAyAqhDbdl3BwGsyEBrCh0ogQEx4CKo1BpzIr0JehQYpMaEoUTbEUCxT6qHUmsCYFYpwMVJiwhAuESKnrBZKrQmZaQr0TYiAVMRHbpkKpnoztAYzimu0TobXjrrIId3QebDF9vTkBNAUb8VA5tGXL1/G9u3bAQDXXnstrr322ib2gmgvBFM3KJVKjB49GuPHj8fOnTuhUCiQk5ODiIiIoD2DaDscE6wmRIbiaF6V/aQWAHz5x2WUKesQFyFGpdoAg9GMAYkREFSdxaWLFwEAY8eOxXXXXddWXeiwNCnZyv79+/HGG2/g3LlzAIB+/frh6aefpn+ALo4/L/1BKVH2BX1JjQ4hfB5qdEacKVQiRMCz3+tqDHGdhDh6UrkeczqeXwWNvh6Vmjr0iAmDpq4eu08WI93lKJA/MnvKFKlUKvHZZ59BqVRCJBJh7ty59szMNgLxDuifFNluPBEdCeY412q1WLhwIT7++GO8/PLLPuu+8847uP766/H0008DAJYvX44ff/wR7733Hj744IPAO9LJ8JUtGXAPxu8p/qFjpmJH4/qBc2X45fwVCHlcpMfJATSEGLDheJQ6TCxEmFiIkhodAKBUqYfOUI8oWQhEAp7HY4qu8tviltp+/za5bP+/7kAO8ivUGJKqQHyUBHnlGuRWaCFjPNQLwmGJHYBfzl/BxdJaAEDveDnKlHoM6xmDy+VqHM2rxPlSPgYkRTllWC9X6aEzmlGrN+JIboOR0NVT0jFGqi3Bi7eNDaJxaN7QNfD2TvVWbhv/jmPP0z2uuq5cpYdc6p4YydaOsd4CdZ0JNTojlFojIkKFqFAZoDfVo6hKh0p1HZQ6E2QhAlRq6nCxrEGHNLQZhpwyNeotVuiNZvC5XMjEfFTUGnBFqYeAz8OZohqEiYUwW6xXY8VywKkthsKUB5iAY2el0PNCUWcy40yxCrAyWMBQZ6xHCJ8PPoeDOpMZshAhIkKFCBcLoQhv2GDtHilFrd6EKo0B3SOlDvODnvj5XBmiZCK797fr99kRId3QOYiVSxAhDbE7AQB/Ogg0xVsxkHm0QqGAQqFATEwMJk+e3MQeEO2NYOmGlStXIjExEatXr7aXpaZ69jwjOh4FlVoczq2EwWSGRMQHn8tFbITEnkTtRF41jGYLUhUyCHlcWKwWGPOzoawuAQBMmzYNw4YNa+NedEwCNiSuW7cOd999N2bNmoVHHnkEAPDrr79i4sSJWLNmDRYsWBB0IYn2jaPLsM1Q52330WbkOJRTgcO5lajWGgAGSEP4SI+Te/Wi8jYJKa7ROgUcL6jU4tdzV3BFpUdEqAipMWHQGetRqzeiSmPA2H5xHo9NeVqMuHoh2foUFyaAQCCAXC7HggULoFAo3L6TjuodYCPY4/yhhx7C9OnTMWnSpEYNiQcPHsQTTzzhVDZ16lR89dVXXu8xGo0wGv88fq5WqwOSryPh7+TaNmb0JjOUWqNTvELH7KaOxvVoWQgipSJ0k0swNC0aar0JR3Kr0E0ugYDPhdlsxfkSJTgcDnrHy8HhclCq1AEMiIuUQCGLhEwicJLNNaGLsd4CLpcDqcj99VNQqUV2bgUulKoQEx6CvIqGI4b5lWrkVWpQodJDWSdAMb8vwBFAX6zC4FQFBveItns2cbkc1OpNyKtQQ2uoR6hIYM/SahvHtlhpXG6Dh7TtCLYnPZOsCLUfj/b32GB7iBXVngimPnnxxRfx0ksvOZX17t0b58+fD6rMhGca+21700+N6a1Ak495qu+60cHjccHjACECHkL4fCjCQ8CBGLiaLT5EwEOKQgaLmaG0Rgchn4tylR4iAQ/pceHoFReOPy6V40KJEtVaA6QiPjgcDqQiAfonRqJKbUBRtQbpcXKE6MrA0TUkVinnxqDGJASHY0a9haHeUg8RjwuZRAixSACtsR4WxiDk8SATC3B9nySIBDwodQbkXGkIAh8THgK90Qzd1ezRts2PW0akIvaq93h5bZ2bHu1ouofWFJ0LxzHr+D5tytH7QObRMpkMd911FwQCATgc93jQRMcjmLphx44dmDp1KubMmYP9+/eje/fuePDBB3Hvvfd6rN+V1hSdAVv89dzyWugM5oYwSledB2r1ZTCZLQgR8BAfJUFGUhh2fXMQenUVeDwebr31VvTt27etu9BhCdiQ+Morr+D111/H448/bi975JFH8Oabb2L58uW0IOiCeDpmbDuaDHjefbQN+pJqHUquGiJCBFxUqQ1OXgmejnCWq/QNbso1egxMjnQyhEhFfJjMFpjqreBwGgwjVitDhFQEZmX2ZBC2SXaV2oALpaqGo44uhktXLyT7pCghAgsWLACfz4dUKu1wE3d/COY437RpE44ePYrs7Gy/6l+5cgWxsbFOZbGxsbhy5YrXe1asWOGmSzor/k6u/xxDGii1Rqd4hd6SC43tF4dkhcxe/sPxInsbmrp6yMR8mBmD0WRGmUqPoWnR6BEr83ns1zWhi+2/tgWyq8wXSlXQ6E2IDRdjXL94VGrq0Ds2FKdzC6HkcxEdFgJ+uARhUiE4aEhIMCUjEUCD3rFaGcIlQqTEyCDi8zAwOcreJ5s86rqGuJKuR7c9LXZi5RK3bNeN0VETH7QUwdQnANC/f3/s3r3b/pnPb9LhCqIJePpt+8ocb6M5m2ve5gWusY8dY8YOSY3G0bwqaOrqodQbIRHxMWFgd6j1JmTnVsJotiBcIoQ8VIS8Sg1KarRgDBDyueibEGmfzxzOrQBjHEiEfKQoZCip0SNMImgw5hXVoLBKh1BTJcxFx8ABoA2JRynrDlZvRaiIC0W4GCI+F5GhIYiPkEBjMKNaXQdtXT1MZgssVobTRTWYNSIVyYpQXC7XIKdUBbEgClIRH0cu/+lVfvhSwyaLvW9X49c29u/Tngm2biDaFm8bAq7hQoIxZ9ZqtTh1/hJ44fGdav5NNBBM3XD58mW8//77eOKJJ/CPf/wD2dnZeOSRRyAUCrFo0SK3+l1pTdHSBHON7MtJaUqGBGcKpfj5XBlCBH9mag+XCJEQFYq4SCkyUqIRJuLgZz6DRSDE9JtuRWRcgtcEbkTjBDz7vnz5MmbOnOlWfuONN+If//hHwALQgqD1ac6g9nSvp8V3Y0eTbYP+UE4FylR6VGsNOFWoRO4VNWQO8QgdjzUBDZNkpc6AMmUddEYzwiUi+7VylR5H86oaFgMCbsNuv0TgM66St0Qnjl5ISdFSfL3zB1TrzIjrOQDJilCEh/85IbJ5N9naDMb33NYEa5wXFRXh0UcfxY8//tiiwdOfe+45Jy9GtVqNxMTEFntesGjKb8Txniq1wSnjt+v14ekxVw3xMrexKBXxcSK/GrX6MoRLhHZDoKMctlAExnoL8is1SFHIcEWlw8XSWtQZ65F9qRK94+V2T19v+qGgUoMLpUpwwEF8hBQysQBKnQFnCmvsMQuLa7TggIMhqdEoqdGhuFoLo9mC0ekxOLL/W2hKSzEmczzksQlIiAy11x+UEgWgIfvrL+fKwMDQIzYMPWLDkBYbDmO9Bd8dKUCSIhTThyYjWREKlc6IWr0JJTU6+/0/HC8CA0NGSnSj/xZN9crqqgR73sDn89GtW7dgiEYEiKfftj/GRX+wZXC2xUvNLa+FlQFcDqDUmjA0rcHr+EhuFdLjwhEuEdrr2GRqGNtG/JFTgTKlDkIeF+o6E/7IKYfZbIXJYsWVGh0sjCFM3LAZkaIIRUmNFgaTBQIe1x6T8FBOBbpHhaKitg7RshDojBZwOICQx8XP58rA4XCQEqKFuegkAKBelgCLvBe6GS2o0hkh4HMxIj0WPWJluHRFDaPJgohQIRIiI3GmqAYXS1XIq1DDZLEiLTYMcqkI0TLR1Y0fIPdKLYprdAgNEWLKoARcKFVBXWeyx39yTLLl69+nPRNs3UC0Ho2NcW+bB8EwdhuNRqxfvx5XrlxBVK/hQObQDjfPJnwTTN1gtVqRmZmJV199FQAwePBgnD59Gh988IFHQ2JHXVO0R4K5ueVrriEV8XHgXCnOFikREdoQoiRWLkH3SCnS4+UYkvrn3H7QddNwsbgKJqG8w22+tTcCttolJibip59+Qs+ePZ3Kd+/e3aRBFsiCgFyNg0NzBo3rvY0dYXa9T6kzgAOOPbth90gpMtMUKK7WobBSA42hHkCDZ2F0WIPhydEL4VyxElIRH3ERYljMIThdWIMLJSrwr2Y6VNeZkBobhj58HgxmCxIiQ50MhLaMs7Zd/hSFDCXVWqQoZE79tHkh2TIznz7dkJk5MaWHW7+8Teg7snIK1jg/cuQIKioqnBLRWCwWHDhwAO+99x6MRiN4PJ7TPd26dUN5eblTWXl5uU89IRKJIBKJ/JarvWDLYj40Ldqj15u3mH2239WFUpWTIdzRW3d0326YmpHkdSxyuRwUVWmvxvzi2o1ojp4/3x0pRH6lGpOuScQdWb1QrtI3ZDw2W1Fe22DMV+oasizbvHb3ny2Ftq4e0bIQCPhcXNc3DlWaOpwrUUHI44LD4YDPD0X5lTocu1wFHo8Li8UKvckCMIa4SAk44OB4fhVqtUaUn/4FHG05+AIhzl2pQxJfh5JqHY7lVSFc2mBIGNs3Ht8fL8Rv569AIuKDA8BQb8XQtGgczq3EsfxKnC9VQiYWIFkRhlq9Cb/nlEMi4ttjOR3OrQTQEBOysfHa2Nju6KENgk2w5w05OTmIj49HSEgIrr32WqxYsQJJSZ69RmneEFz8PYLsOEZsn70ZHGx67sjlCuSUqlFSrYWVAQaTGenxcogFPJQq9ThTqATAYDCZUaUx4FRBNZR6I/pdNfwVVGobxvbFCtRoDagzWRAmFoDP5UJjqMeJgmroTfXQ1JkgEgpQV2/B2aIaRIeJERchRZXaAJ3RjIJKTUPCkyu1MJmtkEtDkFehQb3VijCxEFUaI04VVoNfr8cA6xkAAAvrDn14Hyj1RkRIhZBZrBDx+egRK0NGSjQqag3IUapgqOdjaA8JhqfH4NUvjkCpM4HPaQivYAs3kZmmwOVyNerNVkSFhti9K6YMSnAKE+Hp++xouifYuoFoPZo6x22usdtisWDz5s24cuUKQsQS9O/ds8MYzgn/CaZuiIuLQ79+/ZzK+vbti61bt3qs31HXFO2R5ox3b/kRHB0jHMOZ5FdooDPUo1u4xJ70qaRGh4KCfEBZgP5JDfFToyPlKKw120ODeAu3RDROwN/ak08+iUceeQTHjx/HqFGjADTELFizZg3eeeedgAUIZEFArsbBoTmD2vVe20RCpTNCLm3cQ6ewUoODF8thslgQJ2/IpDooJQrltXUIDRHAfHWirjOa0d9lQmxrQ6kzoKK2ITh6hboOHDCEhggxJE2BYWkxTrFZXI/9xMolqNQYcDS3CgAHQ3soEBchhUjgbMwC3DMz9xs2FgN6/vnbLFfpodIZ0bNbGBIiQ+1JInx5anYUgjXOJ06ciFOnTjmV3X333ejTpw+eeeYZNyMi0JBx76effsJjjz1mL/vxxx87ZRY+Djio1Rnx2/lyJ6O37eWp1BmcYoACDUZ220tvSGo0tIZ6hAh49qxlZ4tUAJg9Q7ortvtTFDKIBTxo6oywWhtkOXC2DD+fLUNKTCiSomX46XQx9EYzjOYGj8QQAQ8avQlxEWKkKGRQ6oyIlIqg0hnx89kynCmqQVmNDiU1epgtZkhChFDpjIgNl0AmEkAi4kMmFqCgUo0ajQkMVoSLhZCKhRDyGCrUemgM9RDwuTAa66GoywXHUgEulwdOYiZOl5tRqCmDLESIK6o6lFRrkVumRp3Rgiq1AVYGWK1AZa0BAn5DJmkhnwMRjwcel4OLpbU4VVCDerMFfE6Dd6RtfGamKVCrNzWacRIACirVqDOZaeLhJ8GcN4wYMQJr1qxB7969UVZWhpdeegnXXXcdTp8+DZlM5laf5g0tj814daawBj+cKMaQ1GivsdI8bUDaritkYoT2cM7gnpHS4IVYV2/B6YJq6E0WpMSEIoTPg8ligbHegvNFKoTw+agzmVFUpYHeUA9FmBiaunpYrFZYGYMiVAyZRIDqsjqYLUAIY6g3W6Gsq0ddvQWpMWFQ84y4oqrDnlPFiP1/9v48SLLzLPOGf2fPfamqrK2rq6tXqdXaLMkSkmx5GBsbG9uM58MwxphlGAgIJpiA4R8TMzAwL5iIgYmBmAgPvN/Mx7y8+DNm8PJ64MPCxpa8ybKWltR7dde+576ck2d/vj9OZnZVdVWru1UtqVt5RShalXny5MnM89zP/dzPdV9XNkEmobNUajJfauL5IaocbVgKBF4gaIsYy4ySVn3c5DF0CTRFJhnTScV0skmdpuXx9JkVPD8klzTYP5Tsfe4fe+wIX3t5iclCiomBFPlkjKSh8sJsiZbtMZSN03Z8XpmvkEnovY2h2wl7vabo4/XDG5HjCiH44he/yOzsLJqm8Ymf+jjj4+Ov2/v38fphL2PD448/zvnz57c8duHChb5r/OuA17K5tT132IkYsVnOZKNuYTk+SBE5QCBYmr2IP/sMMwieP7SPID5EzXS2SCztJrfUx6vjuldBv/zLv8zo6Ch/9Ed/xOc+9zkgqur/1V/9FT/6oz96Xee63gVBn2q8N3gtg3q7zknNdBjNx3u76V1sZx/0TFYurLNUaZFLGBwby5I0VJ58aSlauOcTV2iW7fTe6zWLjbqNLEvoqkwmrjOaTzCUjl1RyNyptXooHSOT1HvHV037iuJBqVTiM5/5DNVqlVgsxo//+I9f4fA1X2yxWrU4PpHHdPwrdmZvNWbAZuzVOE+n09x9991bHksmkwwODvYe/+mf/mn27dvHpz71KQD+zb/5N7zrXe/ij/7oj/iRH/kRPvvZz/Lcc8/xZ3/2Z3v06d48uG9qkBdmiixVTF6YLfUKid3JcyyfuMJp3HT83qT38NHh3r03X2whEORTOuP5ZK9ldzu6rzc0hclCmvVGm0w8am3+/PdmKZs2YkMQN1QK6ThBMiQd03lxpsTR8SwPHRneMs66eqirVZONuo2hKiQMBRHKZBIGiiIzPpjgcXWMRtvtGZ/4QchAOsaJyUjD8IWZImt1i3xcYzSfJFy/QDrYQADvef8H8RMjuC8voSoSotPKWGs7yJKEAAbSMe47MEg6oSFENP6yCYN8MsaJ/XkCIK5HLvGqLHH3ga1Ozl2pha7j5E4szi6mVxu977KPV8de5g3vf//7e/9/77338sgjj3DgwAE+97nP8fM///NXHN/PG14/bJYK+cS7ju3KXNy+OOi2JAsE75zaKpPQZQlOFdJcWq2DBElDY7Vmoasqvt9mrtakatoc25enZrm4QcRaHEgZFBttLNenkInz9iPDWI7PSs0kHdPQVJm26wMCy/FxgzAyVEFittggqWt4QYiuqsT1SCdxMBXj2L4soRBcXGlQUvZz+I5Rskmd5YqFF4SkDY0QwUAyxoXVOqtVE8cLGM0neEfh8uezXI+RfIJKy+GF2VKPcdi0XEZyCYazMb59bh3T8XfdGLrVsZexoY+bg2vtPLpWXA+TcfN7D2fjPPnkk5w6dQpZlvmJn/iJfhHxNsZexoZf+7Vf47HHHuP3f//3+fEf/3GeffZZ/uzP/uy2XFfcTrjaZsV6zaJq2gxno03CoUyMuycH2KjbLJdN0nGNtZmzLL3yDBJgDOxjw4uxUb7SaHK39+jj1XFDdIqPfOQjfOQjH3nNb369C4I+1fjNhc2FtAOFFPPJ1hXsg+5x3QSk2LRxvADL8Wl7AcsVk/WqhR+GPdfV8yu1qEhpuTxwcIihTKznoLxvIInp+DxwcIjhbIyZ9SYiFKQTOpbj95xZd2vnhCsNJfLJWK94APDCqfOc/NZXcB2HXC7Hxz/+cYaGhq74/N3FT9W0SegasizheAHPTm9ctfXoVsFejfNXw8LCArJ8WRj3scce4zOf+Qz/7t/9O37zN3+To0eP8sUvfvGKguTtgJFcgg89NNXTOexiNzOU7c9tLuZ3TYkkpC3GKrA1Ge9qFj4/U+Tu/QMcGc30FqlPHB9DAgbTBndNDDCUjrNQaqGrMgPpGE8cH2MoE+PpMyssllpMDqU5PpHn+ESegZQBVNg/lGKynWYoHWM0l+DUYoWVsoVAoEgSJ/YPoKsKlutv0Vd0vICa6XBi/wDV5QukzTkAlLG7yQxPcmJygGPjWV6aKyMQuF7I10+tACHHxrJb2h5OzpVYKVucWqgwOZTingODnFqsEFMVcskYVdMhpilbTBw2v76rj7bT48sVk9FcAtcP+ozE68DNiie5XI5jx45x8eLFHZ/v5w2vH7oxrPvvdr3WLrpz53yxSc10elqsZ5eqzCdbW1iKsiwxt9FgsdSikIlz9+QguYTOatWikI4hREjd8vBDaNkuIGE6DlUzJK47JA0NQ5VRJIlnp9dZr1t4ToCthSRiGtmE3ulIEOSSBgeH04QCzixWKDbbGGr0nO0G2K4PZhF3vkSQOU4uaXBoJM3h0QwLJZNyo42qypiuT6UVbVCmYzpCCAIhyCWMLTHqyZeWUCWJfMpgvRq1aE0V0qQ77IqhTIyG5VJuOuwbSL7Ov+brh9cr1+jjxrDXMj3Xw2Tc/N6XzpzkmWeeAeBHf/RHOXz48Gu+lj7e3Nir2PD2t7+dL3zhC3zyk5/kd3/3dzl48CD/5b/8Fz7+8Y/vwVX2cbNwtc2K+WLUkbRRtwgFNCyXbMIgrinUREi6NcPcbJQXxkcOk5y8D0XROD6R2nFTpI8bw3Wvgr7//e8ThiGPPPLIlse/973voSgKDz300A1fzKstCPp447CbiUK3kHa5QBHp9/SKi9sSkIcOF6i2bGK6yvRqjZimMJJPsNYxSmnZHtMrdWQZbDfg4mqdbEJndqNJQlfIpwzSCZ0joxnyyRhPHE9hOj7rNYvTixUGUsaOpgnbCzPbWYvdz1EzHS7OL+M6DhMTE/yLf/EvdnVmLjVsXpgp4vkhmiqTTujMFZtbnGm7uNVMV27mOP/GN75x1b8BPvrRj/LRj370ht/jzYzt99KJyYEtOp5wJfN3u1FR97knTy7y3KUiDx0u9B7LJVs8fWaFF2dKnNg/QM1yiWkylhP0jAi+dWYN2w9oOx6uH6IqMrlkZFy0ub360lqdU4sVErrKjz16mKFMjP/76Wm+f3EdEcJyxQKitsO4ppCJ6yyWWmTiOgc6uqNzGw2WyyYxXSGuqz1zlTAU2F7Q+8xrNYvlqslSqUWmdgkDKOoTrNVSVL92lmPjOXRVZm6jSS5psFFvM19qoCkKNcvlQ2+f6l337HqTb55ZxfZ8xJ2jTBbSVFuRTt5AymClYlK3XBZLTZYrFj9wbJiPPnbkMnO6w0zcLNnw8NHhyByqoympyFKfkXiNuJnxpNVqcenSJT7xiU+81svs4zVieyz75plVvnthnUePjfBjj0WL/m48EwimV+u9YwWCsXyit0FyeqHChdUa+/JJ5otN1mttFFnmgYNDfPm5OdbqERshCCFuKMRUhbiqsmxbWLYXGbAIopZkRaJuNbEcHy8UyICmykwMpFistGjZHp4XoGsKuqKQiGkkDI2a6VJzHPwQBJATDcbFRWRCPFulLo2zVJapWS5N26PV9sgnDcb3J6i2bEpNB9PxCUJBGAoEglLD5m+fn+e56SK+iDQQZSTOr9Q4t1JlvpBBliWGszGGMjFKzchc7kxHquVWyiOuBTczNvSxN3g1VtCr5bdXy2Gu571fmY/yjR/6oR/i3nvvvZGP0scthL2ODR/84Af54Ac/uJeX2McbiAOFFM/PbLBeb6MqMuWmw3yxhe16THoz+JVFAHJT93DHvQ8ykIrfdvPnmwHyqx+yFb/yK7/C4uLiFY8vLy/zK7/yK6/pYroLgrGxsdd0nj4irNcsnp3eYL1mveZznZwr8dWXlzg5F7UtdbWQ6pbDWrXd211/7uJGr+Xywkqdv3t+noYVMQ/+13cusVRpsb+QJq6rOG5AqWkzVUgTBCFz6w3ajs/R8QxvOzhETFdoWC7TKzVM20WSJRRF7jgtSj0NxIePDlOzXDbqNqcXKzx3qcjzl0o9zUKICjMPHx3e1RgBIifIpXKL3MQx3v7ED/EzP/MzJJMRC6BbEN18zhdmSyyVTeptF1WOruuBg0Mcn8j3/u0WU5+7uNFr4b4VcDPH+VsdO91LN3p8l3m4mYF4oJDCD0KWyiZPdQqK5abD8Yk8AsEzFzaomg7puAZILJVN/CDc0SxIlWUGkwb5lIFAMF9sMbfRIAwj1uKjx0YoNiPTlGKzTTqhoypRUb27uRDXFCRJQpOVqGVwo8FK1cQPQxptt/e5Sk2bStOh2LCZ149Qyx6nqE0QElJq2Dw/U2Sh2MJ0fGY3GtQsh2RMZ2o4vYXNOV9sRecPAiLlR4kDhRQPHS7w4OEhBtNGz7AJJBrtiPGzGQcKqd73tfm77z6+eXz38erYy3jyG7/xGzz11FPMzc3xne98h4985CMoisLHPvaxvbrcPvYI86Umy5UWz18q9ua+7nx4eqFKKEJimsJy2eT5S6VeHHvypSWeny2yUGoxW2ySiRvEdIV9A8moi6Fm4XkBthtEmkhtj7YfIABJAlmRScU14oaKpsiEQmA5Hn4o0BTQVRnXiwyjVisWlUZU9FuqmHzr3CrfOrtK1XRw/QCvV0RsckeniOjHh7BSUwQCio025aaNKsmEIqRpe1RbDooS6d+22i7pWJSzzKw3+dN/OM3/fm6O+XIT0/FpOR7nVmpUWg7VlsNKuUXbi1qZ54stVisWpu1RatrXNW/cKujnGm9+XC1/vpZ85npznt3e+z3veQ8/+7M/e1vqZfdxJfqxoY/d6hjdGkRMVSlk4hwczqCrMovFJu3KMn5lEUmSeOgd7+bRx97B2w4Wdo1hfbw2XDcj8cyZM1scWLt429vexpkzZ67rXL/xG7/Bhz70IQ4cOMDKygq//du/3V8Q7CH2sh2h2/rY/berhXRsPMvBkTQz65FT0kgu0WsL/LsX5pleqzOcjjNXamHZHqqikIopBAIUSWK1alJp2iyWWkgSHB7J8uChqAWqbrrIclToWK6YTOSTPHxspLd4zyWN3nt1XZdzCZ3lislg2th1kb/dOGFmtcaFk99FJCZxfB1FlhmaOIKqXh4eO2kpdosXU4U0hqbsuNPR1XCQZalXNLkVAtlejvM+tuJ62nq2ty5vx8RAitn1Jg3L5fRCpcf2SxoasiRxdCxLwtB44OAQJyYHOL1QYSClIwTcNTHA0bEscUMh8AWf/94Md+8f7JkcTAykeOLEOElD5cxSlZn1Jnfv13jXXeMUm22eOB5pE730rTK265GJ6xQycYazsZ5Bwnyxxbvv3c/hYrM3NrsM3n0DSWqW25MDODpkYB4cpG665FIGo7kDnFqooMgSQSBYr7fJJnVG8gliqkKrs7h+6HCB5YrJUqXF/VORycPjd45SSMdYqVp4ftD7bIamkNA1Sk2bQjrOyP4EhWxkHLO5lXmzHmtXsuFamBd97Iy9jCdLS0t87GMfo1wuUygUeMc73sEzzzxDoVDYq8vt4xrwauNhvWYhIaFrKsVGm89/b4Ynjo8zX2ywUW/T9nz8QODGQhqWQwA0LS/acKtaHBzOMJr1SRgqR8eyPamTpUoLWZHJJnVqLZcgFORTBndNDjCaS7BcMVGkKE/JJXTGB5LMbTSpmx4CCAJQdWg7HhsNC0EIcsRcDAS4vofjhwwkDUbGc8ys1TGCJneE0yiEtJQcg4cfZp8VUDXLkcGTECiKRLYTA5OGFrVCez6m4+OHYKiRUZUfRkYtQRgZRyR0lVxSJ2GomLaHJEs9jdtSw2Z8INmTmthNP/pWRj/XuLWRNCKTo/li41XNFm/k3i2VSuRyuV4+3jfHeOugHxv6eGmuzHOXihwdy3CgkMHxIuPHjbrF7EaTdEylkElguR6zGw1URWJ4/yHSeQklOUhh8tgWWZU+9h7XXUg0DIP19XUOHTq05fHV1dUthZdrQX9BcHOxk0365sT/WhYC3ef3DSRZr7d7Oj2btZBMx8dsV3o6h13zB1WR0GSZQISoskQuoRMKEELC8wJank86oeP6ITXLQddUknH1CvHTz39vlvWahaLKWwLCSC6xpbXzE+86xrPTG1RaDpmEfoWLchebC6yObfHtf/jfOM0yQ2Mt3vnIj7JcNa8wX9mupbhbS+p2zBdbrFXbHBrJkEvuXtx8s2Evx/lbDa82rq6nrWe+2OKl+TKttkvT8jg+kWep0urphb4wW2KlYlJpOSyUWqxULBKGwuxGE5nIlOSO8RwQmaLMF5us1WwqrTa1szam7bJSsbi4VgdJYn4jYsn4Qch9U0N85JHIYOjSWp3ZYpO66fBz//TOXvz4//zjOabX60gCXpwtcWg4w0NHojH6+e/NcGGlRkxTeeDQEGcXq7y8WGY8n0QCXporEdNUziyWqdUaDFVfIJkfZfTgg2RSMQxVodZycPwARZapmS7fObfKUCbOw0dGmN2oM7MeMZ7GBpLENZWVssV63eLxO8d45NgoX315iVOLVSzH45W5MndPDiLJcHGtwUrV4kOFdC9unF2qUjVt8snYFlOI7u/YPab7G/Zx7djLePLZz352Ly/tLYO9LoS/2kblfLFFTFMY7xT3Xp6rICFRaTmEwHA23tuYDEPBSD5BOqGxvtbuGa+9MFtivWaxVGlxeCTLUCbW0Q30eH5mg5rlYrsBgymZn3riGE++tIQfhnhBiBuEgI3jh9hegK5J2J4gBFRZIgyh0nSQiNqcA3GZ1a2rMqP5BK22x6DmMO5GRcSGlGZWOUJt3USRZQqZOEIS+J5grWahyjIHChozG3UqrcgIykdQM21SMY10QieuKmRiKsWmTVLXmBpJIyHh+g1Mx0OWJQ6NpHs6kXFd5UAhc0WucbtsbPRzjVsT3fuvZjpUWtF/BwqZ15zzbD53TvP40l9/hqGhIT72sY8Ri8X28iP08SZHPzb0IRDYns/zMyVeXqjgeyGlls1oNo4MbNRtqqaLb5tousGJ/aO88/gYS5VCrxupj5uL6x6J733ve/nkJz/Jl770JbLZLAC1Wo3f/M3f5Id+6Ieu61z9BcHNxdUMR7pJ6nMXNzi/UtviXrrT8RAl+0uVVm9X/BPvOgbQc1xutN3eczXTody0Gcq6KLJMPmnw+J1jzBWbzG40KHYYCTFdIQwFQRASiyscHsluKd6t1ywMVSYd11ipmPz1dy5xV8cl+UAhdUVrZzdoLBSbfPvsGmMDSf75Iwe3FE4dL0CWJYJ2g+9/7X/jNOsYRowfee8/ZerAICtVi+cuFYHIybWLzVqKm4uMV8PVTDPezNjLcf5Ww14ygQ8UUgRByEKpRcuODIoWS1GBfL3eptF2GR9IcnAkzemFKo22S9uRkYB80mAwbfQMC8JQYHUcSj1fEIQ+F1cbrDcsnI5xSDqmYzo+jheyUjF7xXhFkUnHNFRZ7rFq54stVEVmqmPwkjDUXktztyWv2LAJAoHrh1RbNnXLRZYkYppCzXTRNY+0BtnKSVThYtbLjBoyjbZLywbHD7Bcn6F0HEUBxwspNW3mig1KDQcvCGm7AeP5JIdG0nz33BrTa5Gj8s/90zt56HCBUsNirujiBZEpU1xTWK1YjOWTV2y21ExnS8zb7iy7+dg+rh39ePLG42px6fRCpWf49GqbY13sZky0/fmYrkYGJ0FAuWkT1xWOjmXIJHTWqm1G81FB8fxKjTMLZY6NR9IBT59d5dR8hbbrEdc1Xp4t851zaxwdz/KNU8uUmw5hGCJLYHk+T59Zod5yUGWZpKHRaLs0LI+G5aEpMjFdxfY8APwgjGJgp3aohCES9AQiGpbH2aUKQoQcd86hEtAgxYx2jJihAbBcbiIrUaxte2F0Hjnk/GoNP4iKl9mEjueHtN1oc0ZXZGKGSiEX59i+PPmkge0HUT7kBGQTBoWM0dN4tVyvpxt5Pb/nrYR+bLh1sLl43b3/RvNxHjpcQCD2bG6cL7Y4NbNK+dQ/YlkWnuchSbena3kfu6MfG/qYGEiR0FWaloVpRyz+puXStj2yqRgJQ8UITOL1kwRakrFsZF7ZaLu8/XC/lfn1wHUXEv/wD/+QJ554ggMHDvC2t70NgJMnTzIyMsJf/MVf7PkF9rE32N4ieS0ttzstnE8vVHjy5BKPHhvhnXeN9ZKK99430TNamS+2qFsONcvlYCGDQFC3PCzX4733TfD5780ys1bH9QJWqpH+D500Pq6rW1yPa6bD3EaTjXobv2piuT6lZptqy+XBw0O9FkoJidMLlR5bq9H2WKtZ2H7AybkS+WSMqmmzVm0jyxJmeZWvfes7BL5LPJlh8MQ7MeUMAHUrKoLWLeeKXX9BiecvRTqR908NvSoj4Hp3Yt8s6I/zG8deC5N/6KEp9JMLgMRUIc1wNtZjJG5mJy6XrU6xT2LfYJLxfJJW26dq2miKgheE5JMGDxwscGa5gml53DWZZ9JOYTsBYwNJMnGNsYEEZ5errFQs/u75eTIJnYOFNHeO53juUpFnL6yzUGwiENxzYIBSw+bbZ1cJQtFzQl4oNjE0BU2WqLYcwrLgvqlBBtIx3nZwCF2VubBSw7ZdlOXvIwkbT9Kp5e9luWajKgrVlsNkIY0Q8NDhAo4XcG6liiSkiO2sRgWDQtpgKG2Q0DWCUJCJaZzYP8BILsF770+wbyDJV04uAqLnhDq5ybV9u6P1duZw9/9v1bH8ZkA/nrzxuFpc6kqVANdcSNxuTNR9DLYXHJqkYjqpmIrjBUiSxIFChgOFFCcp0bS8js5qkWbbw/EDTi9VaLsBFTPaiJA7xkam6zO9VqfU0TSNaRKaFhXzFksmy1WTpu1GJkudqqAmSyiKFG0gSqBIEITgbzW2R5boFRZDwHRDFAkuSIfZJ1aYVQ6hygqaqmJ7AW4IhOGWcwQhVFsuMV1GkyQMVWE4k2C9buJ6gqoZFTfddIzBfXGqpsNiuUkYQKFjrrJWbXN6scJq1cLQlC1GWtf6e95K6MeGWwebyQcPHBzqbQLcNzV43XPj1XKhsazOt89/C6vVIJ/P85M/+ZMYhrGXH6WPWwD92PDWxnrHhNULQrIJnUzCYLHcpO0GeEGI44cczngY6yeRRUDge5xZ2CCbTpPpkBr6uPm47kLivn37ePnll/nLv/xLXnrpJeLxOD/3cz/Hxz72MTRNuxnX2MceYL7YYrVqcXwi30v+X63ldvvCeSSX4FtnV1irWZxbrtL2Ahptd0s74Mm5qNAWhiGm7XFvZ1Hy3QvrrJQt8skWQ+kYcV2j2XZx/RBDVUkYKhNDKU4tVlipmihAIZfgyGiGsYFkxD4QIcOZOPMbLRw/4NRCpWOlILFatVivt5lerVOsW/hBiBASo532qbNLVcJQsF63GKHMxqlnECLEyAxhFu5jeq6FK69wYnKATEJnMB3rtUdvXiQ1LY9y06ZpeVc8d7u0GkF/nL8WbB83O+3id4/b6Z7ZfsyJyYGeXIChKbzzrrHeeZ8+u8KFlRqOEyKkyy7ItheZrdQth1BATJdx3IBcMsbRsSzlhk3L9litmHz0sSOYjs/phQpffXmJIBRULQfL9ik2LTJxHdcP0FWFUwtl/DAklzTIxA0ODqd59uI6VdNDlaDt+lxYqXFuuYbtRa7Qfgg1y2N2vcnUcIr1Wpv33b+f/YMpnvzbLyLsGj4KF5SjtOsBxXYlYhk5AYYms28wyUvzJRK6RjZusFI1WSq3MG0fLwiZ3WhiuSEgsN2AQjaO4wX80f9zEgmJtx8ZJmGorFQirdUTkwO7MrW3izHf6uP4zYJ+PHn9sNs8dLVC+GapkuvFTgWtzQWHuKaQS+nEVAUQxDSZpBGlnht1m1PzZcotGyGia6yYLnXTZSwX58hohuWyST5poMmRs/xGow1EToGuJwgR+IHD85c2ODqeYzyfZKVqEgYeIZCIaziej6Eq6KqMrso0LBeZiIGoymBoKoYEnhctTkIhQJIIBFhykmmORk3YQUij7aApMroC7mXTeaRN/xmqShAEVJo2YSDIxHXaakDD9EAKCUNB1bI7zPCQsVyCqeEMI9k4S2UTxwtI6iq+ECyVTf7iqQtXsEV3+j1vxRykHxtuHRwopDi/Uut1H22X+7ke7MaoDYKAb3zlyzSqJRKJBB//+MdJpXaWZ+rj9kY/Nrx2vFnHzG7XtX29tF6zqFsuo9kEk0MplsotQBAKSDgbxNZmkRBYSpb4wYd5x91Tu3oW9HFzcEMiA8lkkl/8xV/c62vp4yZie7J/oy23+4dSLFcs4oZK03LJJC47KMMmUxZJwvNDzi1XkSQJ14/YBd+/tNExgcgQ02QkSSYRU4mrCtmEzkKxSdV0yMZ15E4rwxPHx0jFNJqWy0K5GWmnJHXqpstzl4o8eDhyUE0aKi3bZanUpG656KqC6LC1ckmD52c2WCo1cEovggg5csdxDt3/Ds4tN2j5FQrpOMAWlmPSULe4s6YTGsmYykKphYAtbUe3S6tRF/1xvjfYfF9sH3873TM7Lcx3W6yvVtsUGzauF5CK6RwZzeL6AfW2i90ptIGECMAPo0KjQGBoCm03oO0FvDBbIgwFc8UG5ZaNHwhUWcLQZFKGxkAyhip3l910dE4jOYHZYgOnU7yUpGjMtGwXy/ERIiQT16hZHooMluNzcraMrikMZWIYxdOI5joCmXPyEUwRJ6HKDCQNAgFtz8IPBcWGTc2MNh0kCYJAoCoyg+kYxYaFH0Cr7RCPaeSTBj9wbJhis80LsyUQ4Hbao03H3+JufbXvto+9Rz+evD64kXmoq/fbdUjcia3bPXfSUFmumAgE908N9QpaXRfFqUIay41MQ9ZrVqQT6AUs1dq4QVSka7sBMV1lo27hBYJm28MPo3ihKwqSiNiBUbySiOkq+VSMBw8PsVy2ePLkAjXL641mL4BSy6U9V6KQTRCEUZzyOgxBXZOAACGg2faRZYhrCiECxw9p2D5xPfrbEG3uEJe4yBQtKdVjKQL4ARCE+HLIUDZO0/KwHB9di9iHbdcnCMByXEIBmiLTsF1qlmA4Fyeb1DAdH8vz8e2wY7QS49i+XM9IJgwijUcvDJkspCnW2yyVzd7vtNe//ZsB/dhwa6BrMvjCbImkoTKUiTQLb2Tu3GneFULwpS99iZmZGTRN4yd/8icZHBzsPX+r3t993Dj6seG14c06Zna6rvWaxZMvLdFou0Akm1JqtinV7WhNoiusVi1CYB9rTAZLAFTlAeTx+/npd955zR0Vfewd+mqlbxHsxC68kaBy18QAthducSouNWzW620cL6BuuRiaQs10aNourh+gqQq6pjCQjLFet1AUmXsPDPCO4+MsFJs8+dIithcQ0xRkWSKha8R0FUNVWKu2WS5bzBcbJHSV9Woby/UZTMe458AgXdWU7sJnKBPDUFW+f3GDtuczt9Hg668sU2q2QZIIQ5nG4L2cyHnc9wOP8eJcmSNjWU5MDmxxZu2yHLtsza5W3P1TQ2zUbaZXIsbVe+6duGoBaK+wXrM4PVvc8/P2cfOxWUtsu9lRzXRIGCo10+m5Lh8opHqmQus1i5NzpS3tQ93HmpbHPZMDFNIxTi1WcL2ATELn/qkhnjq9jO8LhtJxYrqC4/lYTsBYLsGxsRxt1yeua9wxnmOqkGau2OShw8NkEgbrNRPLDcgnDQ4NZyjW25xfqZLQNfYPJqm1PQrpOJNDSeqWR1xV8UMBhKzXbaomaKpEJh4jCARCksjENQZSBqs1C0WSmZ5dQF08BYA1dDdBK0YhpvHQkRHGOnqrs+sNTMfn0HAG0/GZKzbJJTVAYjyfIBXTObNUpdSwiOsamYTGjzw4xTvvGuMvn76AisRIPs7jd45FhY3OpsJ2Pbd+y3IftxM2z0PXy0bYSUd5u2aoLEssllrYns/MeoPDI1numxrstUcvl1ukEzqKJCFLErPFBr4foqkKkgRV0+XiWp1kTMPQFPYNJqhbLjXTxg8FgymDmuWwVrNYqwlkSUKWBElDp9SwScc1QrHTlgC03ZCFYoto+ySCAGQk/AAcP2pFDkMYzRrEdIWL683OawNiwuaEuICOxwGxxCXlTuzwyvfxQmiYUX4jyyACgS3CHkMx6PwrEeIHUcszwL94xxGWyxbfPb9K1Yz0bX/4bZPcNzXI02dWePrMKkJAOqZHhc1QsH8oSSEbvya2aH9TpI+bDdPxCUOB6ficuIG5c3NM2u6mWqvVmJ6eRpZlfvzHf5x9+/Zteb5/f/fRx/XhjRwzV8s/tl/X6YUKX35uDjcIOTgcuTP/X984z8x6g1BAw3ZZq7dxvYDxYIXxcBmAqj5OPXWI/QkD0/Ff3w/YB9AvJL7lsBPDYKdBvttxyxWTxVKLkWy812J5cq7E9Gqdi6s1bC8yVZAlmXRM58BwinzSoGo6VE0Hzw+xXT/SCfJCnj6zShCEBKGgaXvkEwZJQ2V2PTJk+cF7xnl+phQtPDS15yi7XGnx3fNr3D05yIXVOsvlyDBiKB2jVG9Tsxyy8Yih9MrsCq1qCSc2hKHJVEOZE0eO8ORLSzw/W+TBgwV+/cP3AfT0nkbz8R4Tcb7Y4vuXLuvCDGdjxLVB0gntisXazbKZny+2uLBcuynn7uPmYjctsa7cgCxLWJ3W/DAUvech+t27mpzd9qHNj73n3gkOFNK8slCmYjq8Ml8mlzSoWi5Vy8HQFJKGylrVihiDskTNcqm2XJq2i6YqGFq0YB3JJfjQ26f4i6cu8PSZFSzHR1VlLq7XWa1ZqIrMcCaOrsjULIdBx0CWJXIpg/fcO8HnvnORmunghxDXZVRFpm65eL7A90PScR1NiVg7M3WJZOIulNCh1E4QEmLoKrlUlAxoqkLc0IgbGg8fG+H8So31eptswmAsn+wVM0Ih0FSFetslbqgYmgLAYqmFLwQD6VgvTgF95+U+bntsLoxf7/2+3VBsp0VI0lAZycaZWW+wUjGptlxySYMHDg5h2h66KrNSidzTR3JxckmDXMLg7sk8rhfy3KUiCUNFU+SIsWe5Hc3TKBYdHc+yWrVotr1Om7BEsWGzFrZptp2IrbxpwWCokNBULC/A9a8sMMpEzMBkXKPStHE64ojFZpsjo1kMVcbxQwzhcEKcR8fDJM4l+TADmRillo27bX2iShHT2QtBkyMZlkbb7RUqu+8b0xTcMOh9b/dPDfG++xNIwHcvrHHP5CDvvX8/AOeX6yyWo26Ld9+zP/o+OxtLu7V+bf9N+5sifdworqXVcCSXIGmoyLLUkye4XlyNIZXP5/mX//JfsrGxwZEjR654bf/+7qOP68MbOWZ2Yx3utF7+5tlVzq/UGM0miGkKX/jeDBfXGr353HQCZMlDIKhKOYZZoxrbz8Hj93NvUqdmuiwUmz1/hX5r8+uHfiHxLYTttGFg1wl9JyYCXHZHFoheQGhYLtWWjeX4vXbkoazBvsEkTxwfZ6nS4sXZEn4QkkvqtOyAVxbKlOptFkotNFUmk9Bp2T625+P4kfaiGwSUmw7pmNYzkSi3fMIQLDfk4nodkPCDkOmVGvW2Sz5lYFoeDdsjZai862iGb858AxHarKtxTClDSMcN1vFwvejfLhwvYGa9ThiKXovzfLFBsdam0rRZLrfIxHUeOjLcKzJ2TVx2+h73CgcKKVqt3E059+2MjZpFJpO56e9ztcVd97nNbfJds6OxfGQGYjr+lglw82uOjmUpNe1e4p40VGKaQtV0ePLkAuMDKe6dHGRmI2L51Fo2+YTOQNIgG9eptV1GcwnKTZszixU8L+BgIc1StUW95URsX0Ph2Qvr/O3z8xwbzzJVSFFuuqyUTUaycYIwcl7OJXQmh9IoqkQmrvP8pQ3qpsv55SqOF5CKaWiKhNppUZYA1w9JxTT8IEQWAkWSCIF4fgSQMFo2mZjOSDbBatnEcj0ePDzM8OEhJCKThI16m8GUwXA2TtJQEQjGcgkMTUZXUjQsDyTBfLHBgUKKx+8co+0GDGcTPYf10wsVnp8pMpSO7bo7u16zeGmuvKVts48+blVcLxthJJcgl4w2zjbqNu+9b2JLst8dD9026C5buhv3lismz10q0nI8WrZHytb4wbv3EddV5opNYppMKq71xqTreJxbrdEwbQIhMV9sRQzqIKCzp4IkdRiFQlAxHfwA/HCzJqFM2wuQJQlpm3iBLEUtzk072oBMaAqOH1UF/UBg2h7puIbcbHCXOI+Bhy3FOcsxdCOG5QYgoqJgt0SoSjAxlML3A4oNGyGJnk6009FYVIB0UieX0KhbHooskU/FePrMKqWmzcx6HT+IdKSfPLkYXbUUFR7Hsgnee9/ErsWcN2urWh+3Nna7r755ZpXvXljn0WMj/Nhjh7cwEm8EO8Ukx3F6ZiqFQoFCoXCjH6OPPvp4k2A3SaadiouW45OKRdJhT59dYa1ibd0UFIK266MqEu0wzhn9Xu4+MMZPPXGU+WKLr768xIXVOm0vuIKQ0cfNRb+Q+BbCfLHV0zXs6hx1XZy3YzedtgOFVM9YpRsQxvIJTuwf4MxiFdOJkuaBVIyErrFUaXF6oUrNdEgZGsmYRsv20RWZQFzWWxvLJ3E75i2rVZNQCBRZxvNDSs02mc7rugsIXQFVlglEgO0FmLaHFwgalosfhEjAoNzi2X/4ApLvIhtJJoYH0eMZLNdnYiBFpekQ0xQg0nIC+Pa5VRZKJi3b72ktTK82IvH1AFq2s6Xd+exSlaSh0nb9XhHjZgSvkVyC+OF+cnW9WCibHJmM/v9miQ53KfmKIvOuu8av0Bbr3ifHJ/K9RfmTJxd5/lKJhw4XdtT0+MrJBZ6/VOLBw0Mc6OhkPX12laVK1GJfs1xmNxoEgWC9bvPw0WHujg3xzIU1VqsWcT1iDZ2cK1NqtjFUGTcIsFyB6UTvW2k6kfbIokwQCoqNNn4QcnGtjghD6m2PS+t1UjENRZaiY5o2o/kkuZjB9y5ssFRuYblBb8JX5WgsK7JE1XTRFJls0qBhOmysrnMgmOeieoRATTCci+N5IZYToCdkWrbHueUqfhhycq5ENhExMKstB9vzKWTiLFVaeH5IOqET0xQ0Rebx46OslC2efGmRmY0mzbaH64dkEhptz+8VO759bo1y0+aRYyO7/v7zxRbPXYokBPLJ2I7HvVnFq/voA668P6/3Hu0aKjQtl/li66rdCu+7f7L3N1zeaDw2liOmRgU+gLlikxdnSkwMJlgqtlipmVSaDo8cG8Z2fRwfJAS28Dm1UO61AkPUrpyOa4RBiB8IuqS/bszxg5CQjoOzKvUYh4Iot+gWEy0vxPIun1gImC+ZaMLlbnEeAxdHinFGOoaHhhyEOF7EOtwMX0ClaWPoCqm4TtvxsJwQ27UYzsVR5SjWZuM6KUOlbrkgIo3Y755fY6HYjEzmdIVi02b93CqW4zNVSHPneI4DhSs3vq6ms9tHH3uB3e6rYrNNo+1SbEab5a+Vkbg9Jl26dIm/+Zu/4aMf/SgHDx68wavvo48+3mzYKf/YHmfWaxaf/94s6zWLqeEMICg1bKxNbQCacLlTXGI+mKAl0iQMlZFsivfcOwFA1bQ5OpYhmzB6xIz+/Pj6oV9IfAshaaikE3qvZWa1ajGWT/QWATtRjzfriHWfq5o2NdNh30CSsXwCgWDfQJLVqokkCapWVAy0HI+zS1Uqpo3leHhBSNrSSegqfiCI6yqZhIauyNwzOUCz7fHcxSLNtkcQCjw/ZKPeZq0amS7ENAVVjvTXVFnFCwPqlofvh7hhgNoxdXE8wT65RGx9HhdBemCEev4elps+ab/NwZEMNculYbl4QchSxeTpM6vYXoDnh0wOJblncpADhRQXVuq4XsDUcJp0XGN6tcGhkcyW4Fg1bV6eLzO9WiebMHjv/f3iwpsFk4PJ3v/fLCbHC7Mllism+waSO5qo7CgqvonZuxN6pkUdts/5lRoXVmtUWw4PHS4wlo/TbLsYmkwhE6dpuazX23hBSFyNwvrMepOqaeN4IX4Yoityx6FUoWX7uJ1jbd+n1nIIOrt4kZt6dGVhGNISLqqqkI3r6KrM7EZksGK7AaoioQDdKd8PoWW7TA1nqJsuCMHB4Qyrq2skahdRCNjPBhTu4QeOjrBWtaiYNnFdIwxDNE2hbfp4IbTrNuWmja4qJGLRZyo1bXw/xPYjc5mkoSIhMV9sYEXVCBaKLZarJjFN4eGjI0hIPHepiO35TAwmr6o1dqCQ4qHDBQRi10Skzwjq482M13p/juQiRtxmaZPtGyNdqY/33jfByblSb9NjYiDFRt3mgYND7BtM8PylEgJBLqEjy+D5AscPCEKB7Qe8NFOi7fiRjqEUFfc6wxhNjrQIQ8APA5DB30aCkiWI6ZFxlOuFKMrW5yUgZag4QZQX9F7HZYbhfrFCDJc2Bqc5hkvkBmr7O8dmiBiOjueTiOkkYxqWF7Vcl+ttMgmDe6cGOTySodn2AIma5VAzXUzbww9FFE8TOroigwSSiJjbTdtnttjsbX50mdHbzfH6cWdn/If/8B/4nd/5nS2P3XHHHZw7d+4NuqI3F26kLf6J4+OkYnpv3nytjMTNWFlZ4XOf+xyu63Ly5MkrCon9Tbs++rh1sdv47cqn3D81xEtzZV6eK9FoeyxXTRwvoNX2e/NzTNjcJS4Qw+WQmOcVcYJ8SufEgUEMTWG+2GKt2t5C1Ojj9cV1FxLz+TySJF3xuCRJxGIxjhw5ws/+7M/ycz/3c3tygX3sHTYnAN3EtGraVyw6Ni8M3nd/ROfqBoSqafP8pRK263N0PMdINs5atc3seoOVqoUmR+ymctOmbrm0XR/PC2i7IZYTctGvkU8YjOaTTA4lcd2ApuNyaqGC7fo0bRdVkZFlCS8IWKmauH5IEISM55PEdZW2G1C3bDwfyoEdCa+LSEtJl2XGmGfMXwPAGJqklj+O4wtiqkwQhsgSTBXSXFyt91oxF0pN6pbHWD7OP3/kUO+7ePKlJcotm5iu8MjREQ4UMr3vrntM1bTJJQ2Qdi8M3Wq4Xcb58KbJ62YxOboJ9gMHL7fCXm3ht16zkJB6C++dXFLjusr+oRT7BqJCqO+HeF7ISDpa5E4MpKibLif2D2BoCnXLJaZHi9Ncp6V4pWJi+0kapkuj7RDXtcjMyFBod9r5dU0inYiTNDQUSaLleJi2hyZHLMN0PGo5HsnHefjICJbr8Y1XVlgstUgYKu++d4JSw+bCco2G7aLKMkldxXZ94rrKPZMDpFWf+ksvoBDgaBlqySOkQ/j+xXXqloehyPhhiBASuioxkDKothwERK7wksRwJo4bRK6uqiKTjeuAhKxIxHWVBw8PU2m5HB3LMjWchkswmDYYzsZ63+G1tCuP5BKvuhHQZwRdP26XeHIr4Frvz2vVRIPLxcmqadOwXJY6+qTD2diWTY/NGsoTAylOL1R47mKRctNhvW6xUW+TjutMFdKAxGK5SUikc5hPxtio273rUBQJLxTIUhT/nODKz6AqMndN5Dm/Uqfe9q4oNAqiot9Os7IqRezCWWkSIWBJGseV9CuOk7hc5OxdmwypuI7tBTQ6FyYTOU3XLIflssmhkQyrNYsHDheQgOdnisQ0mWP7cgymDdpOwFLZZGIwyWQhje+H1E2HXEJjZr3JStUkrqnkkzEePjp82xZS9jo2nDhxgq9+9au9v1W1z5fo4no2GdZrFt88s0qx2ebu/YOYjs/phUpPkiVpqFcYl21+7asVACuVCp/5zGdwXZeDBw/yoQ996DVdbx+3H/p5w62LrpRa04qk1DbXF548uYSqSMyuNyk1bKoth5btXcH+T4kWx8VFNHzaGJyTjhAzNA4WMrz98PCrdlb28frgumfY3/qt3+L3fu/3eP/738/DDz8MwLPPPsvf//3f8yu/8ivMzs7yy7/8y/i+zy/8wi/s+QX3cePYqbixXrOYT7a26LI1LJe25zOz3uw5ydZMh4urdSRZ6mm2Ndouw9kYY/kES+UmqiQxkDY4PJZB7xgtVFoOlZaN5Qa4gcAPQpq2x3AY0nYDKqZNIKIFQanp0HYDcgkdQ1NYq1tRy7IfEgiB5fg8escIpxYqVE2HEIEbRNm9JkWB6kjSxJyJioj66J3II8fwWg7DuQT5pMFazcJQVb728iKrVQtdVnjgYIF0XOPl+XJvUdTFAweHuLRap2o6LFVaOxZW16pt7p4c6LU83w64Hcf5zWJynJgcuKI9+Wrv1TVZOT6Rx3T8HV1SZVnqFf3NYotTSxUapksuqbNatVitmp1Fd6VnPqLIMoVsnDAUyLLExFCK4xN5AP7q2xdZq1kkDRXXD6i2HLwwxGx75FMGU8MZZAleWaxg+wGaImOoCrqqcM/UIJ9417He9f/Nd2ewvRA/dEkYGj90XyHSLqsJJKBhe5RbDsmYxr1hmjPf+QpK6NKW4syqxzBbLkXTQwhBCCiyhNJNFiXQZJmYoUYsJVlCCNhotHvO7rlkjABoWlGxca7Y5I7xHA8eLvQ+78GRDLIssVZtk0/GeoYGe4E+I+j6cTvGkzcKr7ZIv9b7c7dF+nZ95K5D/Gg+joTE9GqDasvB8QNOLVR5+Mhwb9OjK71QtxwurTd4ZaFCy/JwRYAIBPGYRk6GVEyLtIpdnyCkx3ZWFeh0Q/cYhKGg54a8HaoEK1WT1iadY4iKf9263+Yioi5HfwdBgC9kkCRCSWZWmkLZTFPchG6LtNIpPAogE9M4PJrllfky3UuTJcgkdVqWy0a9zf/6zsWIYe36yBIkdJUDhTQHR9LcPzVEqWHzwmwJ3w9ZLLU4Npblgw9NUTVtLq02GM8nOTSSviH37VsJex0bVFVldHT0Zl/2LYnr2QSbL7b47oV1Gm2Xuun28owwFDvmLttfu9Nz3fu4kJD48t/8fzFNk9HRUX7iJ35ix4Jvf9PurY1+3nDrYr7YYq1mEQQhSUPtjf2m5UXrkCDk9GIF2w1w/WCLnAlAXtQ4JmZQCGmR4Kx0lHgizqPHRnjf/ZOcmBzg2emN3lrqdpsXbyVcdyHxW9/6Fv/H//F/8Eu/9EtbHv/TP/1TnnzySf7mb/6Ge++9lz/5kz/pD+w3ELu1J+/WztDdPVirWciShOcFzK03gCgBHs3HSSf0jpagIKaqVE2HlbJF1XRYrViR86GqcGAocpFttF0sJ+i4v0Yaa5qiIpA4s1zF8yMmYUyXiakKhUyclu0RhCGtdogIBZoqE0ejYbmsVS1emIlMWyRp62IhELDRsJkYGCY5fJBSkGRw4hgtxyMMBXXTQSISMz+1UObiWh3XF8Q0marpkI5rSBK0bK+nC7Ves1iumGiKzFrN5dRCtcdoemmuzHOXihwby/YMNG6nQNYf5zeGzSYpm5m/m8di9zHHCzi1WKaQjm95bHa9TtxQURWZhWJk0DKciVFt2hiagixLnNg/wL5Bl6lCGkNTcLyAp86ssFazGM0luO/AYEeftMJG3WKjHk3okiSRNBRKjTZhEKLq0XUqEjx25xhBKDi7FGmd5pMGd+zLM1VI89ffuchiyURTJNodTcQwgCdPLiBL8ANHR1goNQl8waWNOs22R0aXWXjxHxGuiSfpVPP3kZI1FCdAUyPmsu0GhCLEcUN0XSIbNzB0lZiuoEgyEI3doUycUqPNcDZBIRvDCwQiDBlMxZkqpKmZzhW7kt3f4GrMid1+v9ttPL/R6MeTvcOrLdKv9d7dbZHe/TtpqDz50hKnFsr4geC990+wbyDJpfU6IkyxVDGZ22gCAscLGcnGuX8qMkg6tVBherWG7QY4nk9AZJhSSMc5OpZjeqVOw3Z7BcKK6VK3XCQJEoZM2wl7NT2JqADohlzBLLS8ELPSvuKz7dYX4IagCY97xAWqZFlgH0gSAvB3KCJ2ERIVNCVAV2GykCKmKuRSBqJp4/qCdEJnLJdgORS0bJdAgO6FLJWj4uod4zkOjWSYXqv32r/vGM8xX2xCDdIJjYePDrNes3o61Dfqvn0rYa9jw/T0NOPj48RiMR599FE+9alPMTk5ueOxjuPgOE7v70aj8do+zJsc17rJ0JUwunv/ALbvc/f+qI1we14DOxf5NseQzXPvfLHF6bkNaueeplGtksvl+PjHP94zWrnR6+3j9kQ/b7h1caCQYjSXoNF2e4SIs0tVRvNx3nF8jG+eXaHStBFEsh6bp99hUeKwmEMCqmQ4Lx0mlTCYGEhy9+Rgj7jR32h4c0C+3hd85Stf4T3vec8Vj7/73e/mK1/5CgAf+MAHmJmZee1X18cNo7vY6OofXsvxTcslCEJqloPpBPhCMJSOcXwiT0LXaNkesgSrFYtTixWWqyYvzBY5OVtktWbSaLssllucX64xu9FkqWxSrLdpOT5tJ+wwjMD1fGxP0CETEoSCM8tVkjGVkUzklBiKkHQ8SswznSKfGwourjVYqbaQBKQMhbFcjJxiI4kA0/F5bnaDeu4OvNQY9bZD1XSQ5WgR8OzFdZ4+u8JSqRUVMQHHC1kqm7w8X0YIthR6usYLa3WLUAhqlnOFqPz2Vub1msWz0xs985ZbFf1xfmPojrsXZku98bd9LI7kEjx8dJi5YpPplQZtL+gly3PFJssVi0trDVYqFhdW65iO39EOC1mumIShYCSX4BPvOsY77xrj4aPDGJrCQrHJUrnFQrFJzXKptlxOLVZ4ZTFi8HadVFu2T9sNIx1Cx8d0PIpNm3feNcYP3bcfpOi9LMfnncfHMDSFZy5s8PxMke9d3KBmRQuvACg1HF6cLfHRxw7zbz98P//knn2k4lE7cqo1g2jX8FFZTp4gnUkjy5Fr61A2TsJQMQwFLxT4gOsLdE0hFdMYySZ426EhJElCVmQCIcgmY2STOoPpOEIIQGZyOCqkrlatnjlK9/s9MTnAw0eHe8yJa4mF1xs3+7g29OPJ3uFAIdXbvNqM6713u+Nks/7xs9MbAL1x07RcYpqKokTFwa+cXGRuo4mQIJfUSegKbcdnsdTk719c5OkzqwgENdNBiEhjFVlClkCSodlh6zVtF7PtbZk9AxEV84JwKzFQEP29U3HweoVEVOFzXFwgSZthymj4r/6iDqKNSJnBVIyYpnBpvY4iydxzYIjDoxnG80kycQ1NlYnpKroqcXA4xRPHx3n46DCP3zkGgOMGTK/UePrsKmeXqkjA/qEUEwOXJVO2tzLv9pvfDtjL2PDII4/w53/+5/z93/89n/70p5mdneWd73wnzWZzx+M/9alPkc1me//t3793zPVbFV1SwStzFVRV5p8/cqiXZwxlYr3jurly1Kq4uCXn7d7D2+feA4UUemOORqVIIpHgp37qp0ilbr97uo+9QT9vuHXR1Vp+++HhnlFrwlCYXW9St1yKjairsdJyt7Y0C0FWNJCADQY5Jx1BSAqZuI6uRvNuN9bsNFf28frjuhmJAwMDfPnLX+bXfu3Xtjz+5S9/mYGBqEpsmibpdHpvrrCPa8ZmRsL1Vuo37yAuV0yWyiauH3DXRJ4TkwN8+iunefbCOvlUjH2DCYYzceqWS7llo6sqsiRhewE108X1ayiShKEpBIrA8QKQOjpDoUBTZGw/QJFgLBen5fg0LJfzy5EDchgKZF1BliRmN5ooikxMl3G8EBGCLMloWqTFtk9vo/pnqUsZzopD+D5UWy6GrmC7IdWWQzKm4rguDcuLipeaYDwfp2w6He0jwfhAksG0QSahb/lOjo1lO+2UOhODl7/X+6eGyCdjV2hM3i6aLv1xHuHVWD7bn988jrZrkdZMpzcBzhdb5BI6w9kYU4U06zWLp8+ssLDR5MBwCk2RWa9ZCBGNn+FsnMmhJPvyKcJQ8PxMkfWaxfRqjbYbkIlrjOTiyIAXhHzvwhr7h9IMJA0UGXIJgzAMsbzIIGU4a9B2I9MDywlotj3+x9fOMbtex1AVBlMGU8NpHC+g7fqc2D9AEAQsVy1ShoqvCGzPR1IgbWh888wqpxbL+H6IgoSmyvjJwwSiTTV+AF3PUjddKi0bQ1NJx3UsN9JsHUrHaFouEhAEAkWWCMOQesshn9IZSBmoikSt4948s95gfCBB3XKZLzbIJfQdXdM3s0MThsrzM0UcL8DQlF1/z/4O581BP57sHXZj6ezkhrhT7Dq9UOGF2RIPHBzaIsmwfe7aHMtemC0xvVKjajo4XtRlkE8ZjOeTWI5P3fJYrpi0HZ9337uPsYEEhqpgOh5BCMf2ZZkvNqmYDs5KQD5pUPKuZBICuNuFkuAK7aQbgSJ87hIXSNHGReW0dAxP0q7ptTLRJqjjh5FpilPD6mzwNNoOMV1FlSWqrcgkLpvQ0VSZQibBvsEk900NMl9sMbPeAASm6xNTFY5P5KmaNmbVv6p5xe3MzNrL2PD+97+/9//33nsvjzzyCAcOHOBzn/scP//zP3/F8Z/85Cf59V//9d7fjUbjLVtM3CzX02i7+GFIo73VuX277MGTLy0xvVojpqnkksaOc+/mAvhILsG/+Gfv5+90wQMPPMDg4ODr/0H7uGXQzxtuHWzPKzbnH89Ob/DUmRViukqx0UYREl4QEgQ7bAZKEheZok6aIkOIjuxRw4o00Fu2z5MvLfHe+yZu2znxVsN1FxL//b//9/zyL/8yX//613uaBd///vf5u7/7O/7bf/tvAPzDP/wD73rXu/b2SvvYgt0E0Te7KV6Lg9Hm83TbasxOYe/CqtVpc4ySXk2VabsejhcynE3QsD1SMY2JwRQNy+HiWp1i06Xe9sgnNRK6hi+F5NMGMlFhsWY5qLKE6gZomoyhqZRbNn4gsFwfLwwJwpBGy+1xBQxVIpPQMdQQ2wsIghDXg7y3jFadQ0Kg4aMQoirRLe14AfmETj5lUGk6VEybjiktmqrwjuPjrFRMzq9UGUrH+MgjBy8zOpKt3veZTmgMdliZm7/PnTQm4fYpRPTHeYRXKwxvf363BV8+GePsUjUy5YGeDuJYPtlzHnvmwgaNtssTd40DcHGtgSQ5zBWbKLLMXfsHCUPR00e8tFZntWrhekFP53BqROP5mSLlVrS4HUjFyCVj/NijE5xfqfH3Ly5QD0Lu2T9AsWFzZrFKSBQHnrmwRtV00DWFe/YPMJZPMldsEoaCuycHOLNUwfYCsgmd+6YGeGWhgusFNGyPb59b5dJ6o6cw6vkhpqIiDz+AIUu4lkux2cZ2Q9wgRK5HMgIIGB9Icsd4jlcWKjRsF0WRCISgaroMpmPsH0qxWGrhBoJyxUIIiOsKrh9SKrZQZZlQQKXlcKCQuWLRc3wij+0FTK/UqZsOY/nkrr/n7bxgfyPRjyc3H9vv3d1i1wuzJV6cKQFsKSRunrs2LwqGMjGGszFi2gASEs22R8V0GEga2H5AKATZhIbj+jRsh5NzJTw/RJYldFVBVWSOjGZZrVi4gQu2h+v7vbbmSMDg8oJCUyPn5r2EIgLuEtOksPBQOSPdQVuKX/sJpMutz20vxPEut2I12j4JXaFuurTdEFWWyMR1HC/g/EoNOwi26Cd/74JLtWmzXGnxgQcnIyfsTTlEF28VmYWbGRtyuRzHjh3j4sWLOz5vGMaubbVvNXTjxVg+wZHRDA3LJZvYqvu9OUZ0u5giLc/MluM2z73dvFkIgSRJKIqyo7FKH31sRz9vuHXwwmyJ711YZ7ncYigT25J/PHVmhfMrNUQgENJl87KuvrAkQkYossZwJDUiyWxQiDbwOsceHM7woYemeGG2dMUGRx9vLK67kPgLv/AL3HXXXfzX//pf+fznPw/AHXfcwVNPPcVjjz0GwL/9t/92b6+yjyuw0yLhQCHF+ZUaTevaB9lmN8Yuw+7iWoONWrRgLzbbmI7PvsEkP/boYc6v1Cg32hGb6vAQDcul1HQotWwapts7r++HtEKXIIzaFWUlKiSqskzLcvEF4IVc2rjcchIGEZtqO3xf0DAjN2c/ELi+4CDzjIl1ABpagXl1ilgokTBUFktN4obG5ECKhmVRbLRx/RAJUGUIwjByRDSUSI/NUDg5V2K5HDlEJw11S1J1tZai7Yu326UQ0R/nEV6tMHy1508vVHj67AqFdJzjE/kr7iPHC5grNkkaarRYz8SotZxIv1AIRrNxkCQWNpqMDSRoWD6zG02alovjB9w5kcN2A4r1Npbr4/oRU0iRJHwJ1iom1aYDHUMCRFS8k4DFYpNkXCMZU2jZAZIULVxVRSKfSLB/KEWj7dI0PdbqFkulFvsGkqxWTYJA8NJ8OXIujWlkYhqX1uoUGzZHjCq6pmBJgwSdTYG2E+J4ATFFQYtFbX/ZhI4fhCQNjbsnBnCDiB0ZdBg/6biOrsikYyq1lk2j7aArMm3XR5Fl9g+lSBkaF1Zr7B9Koasy5aZD0oimtPWaRc10SBhK5KreYX+e2D+whW3Vx+uDfjx5fdHVOBvLX3mvb3aZ34zuvPXSXJnvnFtjrWaxXG7xtkNDrFXbjOUT5JIGNdOh3LI5vVQhG9eZGslwx3iOLz83h2n7PV3hfMpg/2CKUIhIA6lje+yG4LqXeQj5lI4AKq0of/D2uIgoi4DjYpo0Jh4Kp6VjWNdTRCRyaZbDyGxFU0CE0eJGAAqgqyqO7xASMReH0jHW6hayBGbb45tnV0gakzx8dJgXZoq0bI/Ti1WePrPKRx87fE2bVLcrbmZsaLVaXLp0iU984hN7dr23G7oFa8cLkGWJfQNJzixVeWZ6gx84OvKq+e1Ohe7tedF3v/tdqtUqP/zDP4wsX7eiVh9vUfTzhlsHDxwcYrncwvNDnnxpiQcODnF8Ik/SUJkaSjO7XqfVdSvbBEX43CkukqWFgce8NBE9DiRjUT6fTRq8+759vY3PF2ZLvVy/jzceN/RLPP744zz++ON7fS19XAd2KmB0NQm6u9jXep6qaXNqoULd8rhnMt9rU54aznD3/gHmik0cL2Cp0mKl3KLl+CxVTB48VGClbHFmsUKr7SJkCTkUHedFge107RcDJMD1A1RJRlMVJAK2GS3uigAIA4EXBOhywJ1ilgFqACxK4yz7YxgKDGXitGwXxxcI4UZOtx3dx5imkIyp2F6A54cslVq8/egw+/IJbCfg2+fWMW2PwXTEHFsoNWm7AQlD4b6pwds6kd8N/XH+6oXhqz3/wmyJF2ZKZOI6k4X0FYzWZ6c3es7MJ3IJBGD7AWeXqqRiUeGr2LBZq1koikSxYbNYbvaKaZWWg6ErOH6A7QesVExM18f2AvwwpGK6KIqHCAWSLCFCgd8xLFiuWgyH8UiDUAbLjQr4SigwNIVQRBIBcxuRQ+t6vc09kwOM5pJcWK3h+wJDkylkNZqOx2rVIhtUSDkzUcHeOE5DzeL4IY4b4AUhmhoVF9JxnWbbRVFkckmDE5MD/OMrS9ieT9sLUYOQ9brFcCaB6fg9LRUJaNoemhIxELMpA1WJrvVAIYPlVHvtgV1nbFmWsKrtHvuzq6nSx+uPfjy5edjOXpsvtlirtntuhpuf3+wyv9PrnrtUpO35pOIaiiKzUrZYr1us1SLJk1xCp2F5lFs21aaNriqcWazgByFIkI1rFLIJjo3niGkK3zm/xqX1Bum4Tt1yI4kSLpul1U2XmK4Q12TcznN7iSxN0rTwUTgjHcOSLsfr7UbN3b9lQFUgCKLCoCxLIAn25ZIEQUi55WAASBL5VIz7DgySjuvRhg1Qt1x0RaHhulRMh4rp4PkhQ5kY+waSSEg4XsBCaWftPrh9uhuuBXsVG37jN36DD33oQxw4cICVlRV++7d/G0VR+NjHPrYHV3l7YKcx3+2QCEPRMWkrU27alJr2rue5Wu6z+blXXnmFJ598EoCDBw9y/Pjxvf9Qfdy26OcNbx5cjSV/YnKAoUyMv3x6mmcvrlMzHVRFjnTYbS9anxfNLa/Rhctd4gIJbHwUqlIGgMGUxrGxHLV2ZL5610Se+6eijU/T8Xvrpj7eHLihQmIQBHzxi1/k7NmzAJw4cYIPf/jDKIqypxfXx+64Hubb5sEPWx1kR3IJ8skYdTNyVpKQkABDUzg0ksZyPRZLLS56PgslkyAMiesq3zq7yoszRdwgpGl5CAS+L9AUCVWNmIObXZUFUDWjyqEmS6jK9hT+6ui2Ph3yZ8hRJ0RiQT3IShgtiGxXULdcckmNtuOTiGmRBpwIGUgb6KqKF4booUBXFXJJg3RcQ9dUbNdnbCDBUDpPNmFwaqHM9y8Wo/P6wZZ2ybcS3qrjfK9ayh44OESx3qZqOjz50gILxSYjuQRzxSYPHBzaslBcr1kMZxMcGQ0YH0gwt9FkrWbhB4LRbIKUodEyfAaTBhUk2q7HWs0iaWikYhp+KEjFtMjxXAgkEe3mBX6IFQqkUKAo0eJdkyGuq9Qtj7brE4SgKx2TgxAWSk10RaZpewShIKFHhijTq3ViqkI6piHLEsOZGH4gSOgqg3KLKX8WCagbY5hyhpShkYxpiHhIuWnjB6ApEnFdpW37IEBXZJ6f2SCfMsglDSQcQiGI6wqqDEtlk5bj0bZ9xgcSJA0VVZaZ32hycCTd05hMGuoWncSkoSLLUs/Veie3yT5eX7xV48nrge3aZfPFBm3X7+3a78Zu2/540lAxNJmRbIK3Hxmm7fp8+9wqlZaD7QZs1NusdTYEHD/A8UO+dW4FN4iclSVZpm46FJuRhMBTp1e4tN5ACNAVCV2Vcbk8nwsill/LCdBlqdfqtJeoSjkuMkWbGKaUvOJ5WaIne9LNSELAjaSdQYDnRQc0214UV0NBIAkIodRs8+JsiXccH+PuyTzPXFjH0GRMx49avCVIGBrrNYtvnlnl4lodVZHQNJUDQ7tre90u3Q3Xgr2KDUtLS3zsYx+jXC5TKBR4xzvewTPPPEOhULgZl33LoWuksl6zesSDzZqqpxcrhKEgFdO5czzHE8fHes+9NFdGILh/auia78uZmRm++MUvApERTpAY5i+eunCFPmsffeyGN1vesFGzyGQyb8h7v9HYKY/YHBsmBlLULZeW5TG9WqNpefhCEAYRsWEz4qLNXeICBh4uGmeko71NvkzcwPIC9g+mmBxKkd3mXbD53z7eeFx3IfHixYt84AMfYHl5mTvuuAOInM/279/P3/7t33L48OE9v8g+rg3dJKFpRQN2s1bYcxcj7cSRbJyX58r4YciHHppiKBNjodgklzS498AgApjdaCIhaFheT/NsKB2j2oqcX1fLLZwQaqZDEF5u7wkBJxC4QYAgurl22jPwQoEX3hjvYEEaIy4sLkqHqIdbk/CYppCOGVjxgEPDaRqWS9mUSRgaVdMhCAWDqRj5lI6mKoDEQ4cL1C23o/sWMQ+Xyi0EgpimMJ5PbglYbxXdorfyON+rlrITkwOYjs9ffeciMxsW1ZZLIRNjox7t8n/iXcd65392egNFlviRBw8AcGG1znLZRNcUJgaTNGyPtuOTTOiUTQc/iDQBHTfA0BUUWaJlezh+iBtE7QOGplD3gt6CPewsjBVFxg9CzE4REcAPQFUlAl/QbPtcXK/3dgEMTcFyfBptl7geiap3dRxfnClRLq5zwJ1GRlAiz0V3HMMQUeFeVZBlhaBhY/s+9bZHzNBoOFF7drll4/ghw9kYg6kYZtvDC0MsN0DCpdpysP0AIQTFpk1C12h7PvOlJqpyWWPSdHwqLaenkwgQdtiVfQbiG4+3cjx5PbBdu2x6tQHQ27U/UEhRMx2qpt0rImx/3XrN4oXZEnXLw3F9vvryIpbjs1K1yCcNZFkiCEOQFGwv6jKQJPA61T83BDmMtANLTYcnTy5Ss9zeZqITCJxg91Khe4M5wU6QRIhCgN8xUylKQzseF8JVrZ8FkZt0Fy3bI6bJKDK0ux0VQchy1eK7F9b4sUcP8/969DLj8O9emKfRdgmFQFZk5ktNqqbD/qEUDx0e5p13jfXOvVtucbvnHHsZGz772c/erMu8LdDVNfSDsCeB1I0ByxWT5YrJRt0iHTd4z70TvWJfl6kMkd7ztdyHq6urfPaznyUMQw4fvYP3ve99/N9PT++oz9pHHzvhzZg3LJRNjky+7m/7psBORbzNsWFmvYHt+Yzm44DEasXECwWOG26hDaVFkzvFRTQCLGKclY7iSJFWbVyTqZoukgTvvmffFn35q+nQ9/HG4boLib/6q7/K4cOHeeaZZ3quSeVymZ/6qZ/iV3/1V/nbv/3bPb/IPiK8WkI5X2zRaLtkEjpJQ+XZ6Y2eg/PzM0UurNaIaTJ+GLJUMXn67CqpmMap+TK+EJyYzCMh4Qchrh/wykKF8XyCo2NZLqzUcIMQy/HxRNT6o0g7Fwq7eff1EI8NVSIIRKSduA2K8Amk6FZtSSlOcg9C2qqzEtMj9pHt+Shy1JqdSRjEYyr5pIFWVsgmNMYHUxiqwlrNotX2sL2AuKawWrV6gWrfYJJj43nG8nH++SMHr0nA/nbDW3Wcd7X1RvPx3uL6WhdxOx2bNFT25ZPkkzrj+WiBmU3qPHBwiG+eWeXb51Y5sX+AUsPm/GqVpuUymk9wcCiNCGEwbZBPGTx3sYjr+8R0jVzCQBIRq3ByOI0iwUbdJhCCWsshFJAyZDRZRpEkZERU2O8wb1RFZjAdw62aBJsX753/VyTQZBnHDwhD0fsXQJVl0jGdXEKn1LCRfJOB2isoBNRJMycfJGFEjJ2kES3iLdtDkcBQFTIxjYGkgS7LzBYbNNoebhCQjWvEDYWRXAJFklAUiUwiYltWTYem5ZI0tMjlORUjndCotGzqlsuhkQzHxrM8dLiAQGxJcpKGyldOLiAhbZEouN0X5282vFXjyeuF7cn19rEwkkuQS142E+seu/l1Xzm5wKn5MrIs4QUB8ystHNcnEGCoMpmEwXA2zkguge36rNYiPWFFlqi0ooJhd7EgS9C03avV6G4aJBFyh7hEDIfT3HHNzszXAj8QBAI0VQWCjvZjFG8nC2n2DSR7QvMHCimWKi2enS4ynI3xwKFhFkstDE3h8TtHed/9W1ej18oavd3Qjw2vH7rxwPECTi2WI1OlmSJhKIjpSmSIaDo0bZ+5YpN3MtZ73faYcrU5tFKp8Jd/+Zd4nkcsO8zhB96FJEm76rP20cdOeDPGhsnBK1ntbxVsNhndXF84Npal2GwT+FFnYBCEFJtt2u6VGYAifI6Li6gENEhyTjqK31nf6woMZWI9o6duOzP0GYhvZlx3IfGpp57aMqgBBgcH+YM/+IO+jsFNxqsllNtZCd1jHz46zKGRNNWWQyah95yPYprCfLFJox21Jjctj3feNUbdclgsRVoGYSgoNW0urtVpewFxTcVVAxIxjSAUOB26ciqhUbd2Fj3UlYi1sNOiQpFAVSSEEKRiKi3H77kjAoyIIgfEEqe4o0d7jsd00nGNqmXjuVGRxFBVis02TocesVhuEYaCXNLgwUMFfvDuCWqmw2rVImmoaGqKYr3NzEaDwZTB43eO9b6/+6eGyCdj1yQifbPwRhc63qrjvKut19UWe3Z645oXcTuNT9PxGUzHeMdElJCfXary4KFhTkwO8Aeff4FXFiqUmjZCwFrNotJ0aNge+4dS3JfQOT6R5x9fWWKj0Y6SfS1yaN5fSDOYjvGeeyM35ka7xGK5idcZO3FDo9VpTVaUqGU5gMh9NIiMDyT5svhASMQoAhASWK6PH4RRu3Pn88kStF0fSYaa5bJSbpBYfxFVeJjEOScdRtc6bX9CYDoeQgiqHX0wTZHxw8i5MZvUCdaiY2xPZlkxScd1xgeSPZdmgLcdynFyroQbhJ3z0dko0ZjZaIIgWvDcNcZ779/6+3R/v+cvRQyI7kbBbr9VHzcPb9V48lpxvSy19ZrFybkSEtIVLYjdOWu34rqEhB8KkrpKIROPdI7dSKO0abnkkjEeOFhgodSkaroYitzRKwq3yJjkEhqKLFFubW1lej0giZBjYoYB6gRIxLDxeG2FxM2fLZvUSOgqB4ZS5FMxdEXGDQIsN6BpuTx9dpXDIxlWqxYAd+8fpG66PH7nGG3X5xXTYXwgyf1TQ1ucsU9MDmz5fbqLtM3GULfrQqofG14fbI4Z88UW1ZbLarWKH4SMZOOcmBxkNJtAk2UK2fiWYt9ILsF777+stQq7z6FBEPCZz3wG0zQZHCrwtn/yQQ6NZgG26LP20cer4c0YG4bfQvnibnnG5rF/oJCi2LSZ22ji+QFrVYu2t7tsWSCpXOIAQ6LCtHSQULrcoj6aS/LYHaOcWqrw4OHClg3PPt68uO5ComEYNJtXCkS3Wi10Xd/hFX3sFV4tody8W7DdsXF7cezE5ACnFyqcWqhgOT6hCPn6K0t8+ftz5FI6hq6iqwq+HxAIgSLLjOd0Dg1nKTZtqi2b+WITGcgkNI6N53j+UnFLG1AXXXfDnSAEOB0aouIHW544IJbYR+TMPCaVaWTytB2fuKHgB0GvwhHTZRK6Ssv2sFyfhK6Sjeu0nMjJ9qW5Coslk3zSYN9gEoFgY7UNQNpQsd2AuuXwzTOrFJttnjg+vms75OtFq36jCx1v1XG+fYzttrjb7bXb2weThorl+swXm9zVcTD71tlVTi9UsF0fENRNF9eP7tWErlJqtPG8gJWqybfOrJKKq8hAMq5jKFER7q59A6TiGl8/tcwrC2Usx4v0uIhMAjwvxHT8LeNRVyKmYTqhUzdd2u7WAgBEi2ZDlckmjYiZ7AXYng+ShExkOrCw0WBhvYGiyIwaoyTbK5zhKLKiMpiO0bA8ZBH0RJaThkpCU3G7Ls6uj+X4+GGIoUoYiozl+LhByMFCmgcODhHXFM4t17iwUiOhKdy1L89q1WKh1ECVJR44NISuKoDYkd3QTYCShsqDh4eQkLbEzdt9cf5mw1s1nrxWbJ8Huvd1zXSYXqvz/EyRQyPp3s79ky8tRVqmmoJA9Ob87rkcL+AfX1miajpkE0avuN7NBeKGSi6hc3QsSyEb58xCmZWqRduDuY0Gcxt1LDcyRJGJ4sX2ZuWa5fGGqFcJwVExyyA1QiTOSUdoSrtrEF7zaTv/ShB1TQSCXCrG/qEk06sNhBCcX6nRtn3KLZu245FLGvzDS4uUmzaaKjO9WmN6tU615XBwOMN8scULM0UurNQxbY/litnTn7tS7/L2Zk73Y8Prg+59VTMdBIKjYxlimsL0ao1yywEEI/kE8ZjK2w9H+e92PcPtBYTN/3ahKArvec97+NrXvsZP//QnSKdf+xjs462Jfmx4fXAtBcOdNiW7mxKrFZNivU3T9nYuIgqBht/rDihLA5TJR9ooHRwqpPnAg5MYmsL4YGILG7GPNzeuu5D4wQ9+kF/8xV/kv//3/87DDz8MwPe+9z1+6Zd+iQ9/+MN7foF9XMa1FrHmiy0urjXIxKNAu1OQOL1Q4cvPzbFaNWm2XZCh3HQIBGw0bDJxFUmSaLs+qqIQ0xQcz2e9bnNoON3RLotSbNP2WKtYOxYRAa6yObFFN6HdETSXRdBbEAAsSOMsiTFoOEAkzL4ZthuipmVajodlBwR+iK7IGJpMs+0xs97g/GqIIsHbj4zww/fvZ3a9Sc1yKGQT2F5AuekwvVqn0XZJxfRdd01vVHT6evFGFzr2cpx/+tOf5tOf/jRzc3NAJJb8W7/1W7z//e/f8fg///M/5+d+7ue2PGYYBra9u4PgXmH7GOv+fS3MxJ3aB03Hp9pyqLYcDhTStL2As8vVnvao64eYdhs/CJFkiZrpYLk+G4121CIQCvSmDFLkHqqqkUtx9/780rOzFJtO7xo0GWK6SqPtXWFl5AYRo8bQFNY6Oo3dgkD3WEHUvqwrMoOpGM22i+koSFLUDtV2/E3jOSCIjzAwtA+14aKpMkqH5RgKaLvROFXlkHxKw2r5NIIQpWZRNR2czjgNgJbpoKrRGO5qS353ep21msVoNsGH3n6Q//dXz+D6UG7ahAJ+/cP37fo7dhOg4xP5K1oId/qd+7i56OcNN4bt80D3vh7Nx8nEdaZXalRbDvlkDICm5TKWj3N4JGIAbS5InV2qslqNnJcH0zGOjmVYKDapmjanFyodgzGBV0hTrLepWQ7pWCSl0LRd2m6wJaYIgMjMGImtc/nNME25KjpFxCGqnSLiYepSdk9O3d1sEUDD9lEVmbmNBhJgewGrFZNWO9J0atoe06t1hrOJqIvD9RlKx1gotlirWWiKjO0HnF2qMpg2eNuhIWKavEV/brfOkts1XvVjw+uD7n1VNe2eo/sTd43zhe/NslIxySYMnpga7K0Vnnxp6Qo9w80bq1crcN95550cO3YMWZaveK6PPq4V/djw+uBaCoa7IWmoZJMGLdunajpXHiAEh8U8Oeq8wnFcqVMA3lREjGsyP/nEUeaKTZqWy0NHhm/b+e52xHUXEv/kT/6En/mZn+HRRx9F06Lqsu/7fPjDH+aP//iP9/wC+9gd21tjoOO8tlDh/FKVdMfpKK4pXFit89DhAvdNwcm5Et89t8ZavY3tRsyg0I+cUttOZM7Q9nx0VSEE/CCg5l1uOa5tCxZeCAuVrbbuNwpNuBwXF0lhESJxUZqiJA1e9TUhULdcpA7zsft32w1QFYmBVKzHgprdaGA6UXI/vVrnYCHD+GCCpuXh+QGlps1UYfcd1BsRnb4RvNGFjr0c5xMTE/zBH/wBR48eRQjB//yf/5Mf/dEf5cUXX+TEiRM7viaTyXD+/Pne39KmSee14EZaxndi+O52zs0MxK5+yEOHC5xfrvHZb11EkSWmCimycYN622EkG4kSN22HmuWRS2gIJCpNm6ShEgZRAdHxA7JxnY16m2rL5v/6xjkqTYeW42Jo4HmXF/Jtx9/RD10BAl/gSD66EhUWYWsBQJchYajRItnxaNk+nucTIPC8kCAQjLPOBkPIioqmyEiyihAOrhdpqGYSeseMwUOVJBJGpLtkez65pEEqpqJIEm27RRCG6MjoqkxMj973KycXSOgaA0kdEcJUIUXVtDk+kaduuYzlEkwV0jx5cnHHgv6Xvz/H//P9OQxd4dDIle56m9s/N7d23uj90cero583XB82M2o3Y3tiP5KNU7dcaqbDvoEkDx0Z7t27pxcqXFpvcGqhQjqukTRURrIJgo4eGkSmTnXLoWm6uH6A5wes19uokkSpabMqBIPpGKl4gtWq1ese6BXXOpuHMU2+ajvTTYUQHBFzFKgQInFeOkxNyu3d6Tf9v65EGrMijEqLeodNrSoyhqIQIqiZDlOFDA8cKmC7PsfGc4zmEpxerDCYNhjNJZkrNrlrImrzXK9ZZBNGT39up7n/dmZO92PDzcP2+azLaj5JqbeJsG8gSc10iOtqpNW8UsPxAmKawtHx7BUtzsAVpo5CCL7+9a/zwAMPkMvlAPasiNifk9+66MeG1we7FQy74+3kXImG5SIhIYBS06ZUb2O5Po4XsFo1aTk+wTaTA1kEPakRAaRpUeZKko6hqXz73CqqIm+R8+jj1sB1FxJzuRxf+tKXmJ6e5ty5cwAcP36cI0eO7PnF9XF1vDBbumLHcL7Y4vnZIuWmjReETK/UyCWjgqJARM9fKtF2A0azCTZoU245KLLExEAKPxQslVsEIsT1QzIxDV1VWKu1e+/r36T1giEc7hbnMXDxUDknHb5qa9LmYogQgkxSJxCCQjpGsaM7JyGRT+nsM5KEgWCykGK+2GCxZJKMqYwPJsgnY6xV2+RSMTIJA0PbvTFrJ9Hp2xF7Oc4/9KEPbfn7937v9/j0pz/NM888s2shUZIkRkdHr//CXwU3wvCYL7Z6O/i7mRxtZv5sZiA+fHSY996f4IWZIjMbdTRF5sNTB7ljPNdjzD18dJhnpzf46stLAFRaNrYbYGgKibjKRqMNAuptl5btI4BLa81eATCuyXQ90XZby6typJPYtF1UT8bfhTKkKDKBED1ZANsN8IOIchQKenIDQ1SYVk7gBSHllo0fCvxQELZdxozoO0rENMZyUQGi3vZ7DB6QCYSP6Di+CjdaiMuyxEbD5vlLJfYPpZAkmaFMjFwqGp9DmTgfeOAAxyfyAHzz7CpwZUH/qTMrrFRNNEXeIhi/+ffaSTdx+2/ZX7TsHfp5w/Whex/KstQzOtrJsfC9919mS+eSBg8fHe4Joc8XG5xZrFAzHXLJGHftz5PQVZptl1cWWsyuNxjNJWiYHm4QOax7YYjrhYwNJWk5PlXTZbnaJqbJPWMmWer5MvXgB29QERHQ8MnQRAAXpENU97CIuB1+AA3LIZ80iGkqdcuLmOJCwtAVhAA/DKlZNg8eGiad0HotWoamkDRUXpgt0bTcnqN2V39uJ7zRG4qvB/qx4eZhN2kECYkLq3UgGs8bdZu5YpNTi2Wend4grqkMZWI8fnz0iu6czaaO3Rz4a1/7Gt/+9rd56aWX+Nf/+l/3ij5dvJZiYH9OfuuiHxtuHnbaZNgJ88UW3z63zlrVxNAU2q5PveONIAT4IrzClRlAFT7HxTRpTAIkpqVDVKT8lmMODadwvYDxwSSqHBUR33vfRH+c32K47kJiF0ePHuXo0aN7eS19XAU7sWi2O6Ct1yxOLVSiIoQiE9ejyTyXjKGpMhMDKYYyMR48PETDcjvtvDVECDFD4T33TfDsxXXmSyFeACqRaUKz7faChMLNa1ty0LGIESBzVjqCI8V2PVaLuj17MDSZ+w8M4QVh5OZqe3hhgKEqUcIuYDibIB3XmF5tYLs+R8dz3D81RKlhI8uR67OhKVctEF4t6b8dsdfjPAgC/vqv/xrTNHn00Ud3Pa7VanHgwAHCMOSBBx7g93//93ctOgI4joPjXGbKNhqNHY+71pbxzZPs5tfs5swsy1KPPZRPRfqC3+xoIabjGjJSxMYzNHIJnVMLFS6s1AjDqCDteAGuFzBZSGG7Po4fMJSOYegKsgSSJJM0NEzDw/WiNv2g02/n+SHqpsHQ3RTstixrcnSsBJHuqQjRVHB2sFWXJIm249NyAmRAU4iuX4a0dVmz1Izvw5AVam0fVYaErkYFeCliQOcSOvW2S7Ptkk3otGwXxxMYmoIfBozmEmzULcJQkDA0snGdfYMJLCfgwmqNpWKLmBElFgvFBiCRSeioiozjBViux1guQaXTltllZJmOz9sODmHZPoMZg6lCmmenN0gaKqbj937PnXQTr+f+6OPG0M8brg2bWwhNx99Ro7Ubixwv2BJ/nj6zwtNn1tCUiJ1sewH1tktMVRjNx3lpTuD5Iev1Nuu1Num4Riqmk03oERtRlig2HFQ5CiqCyHQNAYYqEYTiikLiG0VGBPAkjVPcQRKL6raFyl5BJtqM6W6ihkJQbTkMpWO4fkClaRPTFB4+NsJiqUW15fDUmRV0VUHqxP5uYbhbhEkaao9VPTGQ6sWnt+oiqh8b9hY7dVJslkZIx1QurjaYGkkznI0xVUiz3mm/d4JIY7lpeVfEnc1z5EguwTPPPMO3v/1tAH7wB38QTdOuyJNeSzGwPyf30Y8Ne4+X5sp86+wq4wNJPvLIwatqv4/l4zTbDoaqUjNdmnZEDNAUiRCBpkq9bgWISEHHxTQJbDyUHfWKM4bCvVNDiFBwZCxLLmm8pee/WxnXVEj89V//9Ws+4X/+z//5hi+mj92xnUUDkSPs5ur9fLHFi7NFWrbHcCbO+ECHwZCNc3G13muDzidjSEjMb7RIGBp+KMgldZ6/VGSt2qZjfIwPtGyv9zcQabUJdmydvGEIEeklSBIXOIyE6NnB7wY/jIqauhwVThptFzcIGc7GubBSw/F8JCHhByFm28ds+6zX2yQ2mS/sG0j2hOvDMCpy7Gay8lbAzRznr7zyCo8++ii2bZNKpfjCF77AXXfdteOxd9xxB//jf/wP7r33Xur1On/4h3/IY489xunTp5mYmNjxNZ/61Kf4nd/5nVe9juvRGd3set59zU5aiZFzqegxTBK6ymrV5NJaA0mCdFwHCQZTMQbTMWqWy+mlCmtVCy8MOTE5wFzHPV1TFdZqFkEoaDoegRB4gUCRItdiVZbxCAkEkQtyEOKF0UJ3/1Cy57YOl8dod5EvAV4YtSeLbYWALuxNOmghUQFS12T2qXUSzUUAFuV95EamWOkwGvwQDF3hffdPcnK2RKPtMjaQpGa5VEyHgaSB1GmKaNkecU1FV326AmtCCA6OZNg/lOKbZ1YoNdpIUlQ4lGU5ki0A0gmdwVSMuWKTMBSoqozjhZxaqrBas1ivR87WxyfyfPyJY1t+r83MroePDu+om3g990cfr45+3nDj2H4f7hR3trMWlysmpuOzWDKptGziukIipkbFfV1l32CSXNJgbCCBoUnMbjQxbR9dU0hKgkqHZeD4AZbr426a+A1NwXZ9QiGQN1ESt5s1vW4QggRtLCn6LlzJwMW4aW8XEmnPOr4ftYA221iOx5GxHJOFNK4fkjRUjo5Fm5PfPLtKudnG8cMt3QubNzQ2y6Rs1O0tzNPbHf3YcPOxuZMC6G2oHe+Yvv3DS0tsNNoISZBLGJxarPDE8TEyCZ26FW0ALpdN/uo7F/mBoyN89LHDwNbYdOrUKb7yla8A8O53v5v777+f9Zp1RevzaykG9ufktxb6seH1gSBas6xUzS1O7ElDZanSoml5NNseth9w9/5BUjGdpuVSbLR7msFOzxjhchYQF21OiAvoeDjonJGO0pbiV7y/G4QYqsLdkwP9AuItjmsqJL744ovXdLK90jG7HfFadT6Shko+pVNIx3cV4T5QSDE1nAYk7j84yN2Tg72J+9J6nVMLZc4sVgiFIBPTadouuqZwKJ0GKTrGC0I0CTq+J1uLiLCrocoNQQimxCIyghkmQZIIpGvzexREhc6BuI7lePih4OXZIpqqIhDEdRWQMFSFO8ZznF+pUms5zG80GUwbZBI6S5Uo0RrNxzk+ke99V6/lt7qV9Vxu5ji/4447OHnyJPV6nf/1v/4XP/MzP8NTTz21YzHx0Ucf3cJWfOyxxzh+/Dh/+qd/yn/8j/9xx/N/8pOf3JKANBoN9u/ff93X2cVuie9Ojx8opFgoNnnypQUcNyCmK2TjBiP5OJYdMFVIISGxXDVJxzTimkI6plKUIB3TOLVQYbVqosrwjVNLFBtt/BBsJyAT00hoCm4QQtfUQETsGBGKHkNGAMVGG7nTwmwoEooCliswVEB0XBGE6LETN6PLXuwyGL3OOfIpg7hXJV47A8AKwyyKUeobTcSmamTb8Xn+0jq6omCoCpWWE+0PhIIwFEhS5Cad1FXajkc6rjGSS+D4AVNDaWKaQr3lMJxLoKsKCV0hmzTQZBlNkcknDNwgQAiB74eMDyaYGEhRbzkslVooaSn6XhPaFb9N1bRpWC7ZhLHluVt5rN4K6OcNu2P7vfdq9+L2uLNes6iZDqP5eI/NVjVtzi5V2T+UJGFExa5yw6GQjvPg4QL3TQ1yYaVOEITsy6dYLJmEQtB2PapNSMY0DFXGdiOtxFCR6WogtBx/Ewvx8rh/o4qIU2KJUTaY5iBlaWdjtL1GGIbIkowXhARCMJJJcHQsS6vtkU/qxA0Vxwv41tlVZjcaPHCwwL7BJILLGxjbcWwsS7HZZqqQxnI9aqbDes267eNRPzbsPTbHEKAXHzavF45P5JlerfG/n5tDCAlDlYmpCjXTxemM9UMjae6ayGM6PqcWKjRMl1LzSqO72dlZvvCFLwDw8MMP8/jjjwM7tz73i4F9XCv6seH1wf1TQ53tfbElRliux8W1Bq4X4HgBQkAqpjFVSPPVlxdpuzu0Mm2Ci4aHiofKWenoZXOV7ccFkZ7wW5m8c7vgmgqJX//612/2ddz2uF5q//aFhen4JHSNyUJ6R1el7nl/6oljvRbozYsUkKiZLpbjoykSlhMxgtqOhyzB2w4OYagqyxWTVtu76SuESIR1loGOM/MGg7TYebdSlS63awIYGgRBRGTUVRk3kHGdgHLLQZY9YppCTI+cpo+N57j3wGCnSCq4sFqj3LIZzSW458AAckcbcrNZzZMvLdFoX95NvR7cynouN3Oc67re0zV58MEH+f73v88f//Ef86d/+qev+lpN03jb297GxYsXdz3GMAwMY+8YKbslvjs9PpJLRG7MSzVcPyCfNJgalkkZGpYdkEtFLfozG01Mx8N0fFq2TyAixu/ppShZlyRYq7V7xcGm4xNre2ha1J7fwsP3Q0LRKfBLojdMBWC5l3nCsixFuoOSTxhC3FDw/JB25+Sbh7dEJA3QNUvwQrh7f57BdAzsGvbFs0gIigwwJ+0HSaJh+3Q6H5GInNTnii2GM9HOY9V0cP0ANxSUmjZ+GKLKMm4Qaa/SaHPXxADvuTdimH715SWWqyaDqRgf/idTW3Qj03GdscEki6UW5ZaNJEmcmIyMCr783Bz1tkux2WY0n7giPo7kLmugHij09RBfT/Tzht2x/d7brrO6vai4Pe7MF1usVi2OT+R7c9fphQobdZuYppKMRbv96zWbmuUwX2qRnisxu95ko25TU52oIBZC2w0Bj3zKwPEC6paL7YVbYsT2VuY3DEIwKZYZ70gsKK+TP7Qi8yR84AAA0o9JREFUQdsLURQJ1w2RZcinonbwZy6sR3E/ZfDtc6vMd9jlth+ZS33/0gYbdfsK7aeRXBSvTMfH0BQMTelpXd7u8agfG/Ye22NINz5svpeShsr/78UFqqaHKoOeiVNuOWQTeqSbuFzl7GKVgZRBIRcnlzQ4PJrh7v1bi/Vra2t89rOfJQxDTpw4wQ//8A+zUW/3GE1vPzzc36Dr44bQjw03F5trC++9/0qyxemFCpbtEdcVJgYzLJZafOXFBUpN55rKAoGkcoajhMgE2zoLNTnSYRdCkIrp7B9K7tGn6uONxA1rJL5VcaMsluul9m9PCjbvLnZRNW0Wik0EgkxC77mXSkh889wqz15cZygdx1AV5tYbKJLEUDpqr4wbKvmkQc10WCw1mV6pc3Q8h6bIrDesm7py2O7MPC0dpCVd+b0YSsSiCgVIweXih9epc0YFEAXHD0kakUucBBwopFHkqE1TliSWyi3iukI2qTOUMogZKmMD0fe0WGoxko333BOffGmJ9arFyC4Ova+Gvp7LtSEMwy2ahldDEAS88sorfOADH7ip17R9R3+3cb7dLX29ZhHTFI5P5LHdAAnRY/2WZZunTq8wMZBkYjCBpigslVr4fkBCV0kZGitVk5WKSbhNMkCRIAhDBBKyHBEKgV5bweZZvdtiqCsSiKhd2Gx33JsFmJ3C5U4QRO+z5TMuVtE1yEgOUyi0SHJRmookCDrQlEgXRQYUJRJtT+gqh8eyrNctVssWLcfD8X0kCVIxFVWVcZsOthvQdjzWaxbTq3VCIRjOxJlZb/B//sNppldrDGVijOUSVE0H3w8ZzSUIwxAhBPPFBgcKKR6/MzJSObF/YFe3t+thl/bRx+uB7ffe5n+vpcC9k25r1bRptF1emivRbHuM5hJkEzpnlyqsVFo8f7GIrHS1UmWEiMatAhwZzZHQVU4vVa6IBW8m7BcrTLAGwIw0yYZU2PP30BQi7dnO19DdyIxpErqi4EoBuqJQajp85/wa1VbkfDueT7LRaBPXFXJJg7v3D5I0VJqWS9v2mS+2LrvmdjZ79w0kt3RDwLXHoz6juo/N2Nw+/+z0BudXqj0N5i7OLFUwFIW4JjOUiWN7AbYf4IUCTZaRpUjaQJHh8FiWkWwcRZauMCBMpVIMDAwQi8X4Z//snyFJ0hbWY59l1Ecfbzx2miN2yy+6m5XzxQZBKHC8kPmNJstVE9u7ej1gVKwjIViVIoNMbwcW4lBa5x3Hx1mpmuQTBicm8z0jsj5ubfQLideJG2WxbB7E1/La7QuL7buLXc3EcqflYDAdo2F5kbB6y2G9atF2Ay4pDWKagml7hEAGHSRBXFOYGEyybzBBsW4xW2yw0bBJxpQrLNz3EglhcVxMY+B1qM9HdiwiAniBIJuIDGMs28PpCp13nhfAYsnE0GR0VUGVJSzXRwjBA4eGmV5tEDcUXpwts1azGErHKeTi+L7g7v2DWK7XOY+4XESsRUXEG3WO6rdwXIlPfvKTvP/972dycpJms8lnPvMZvvGNb/S0dX76p3+affv28alPfQqA3/3d3+UHfuAHOHLkCLVajf/0n/4T8/Pz/Kt/9a9u6nVuL97vNs63u6XPF1tYjs9774t297768hLlpo0sSdQtl/W6he35vO/+SRZLLeZLTUzXJ6mrNG2PjXp7C+NW5nKxsNn2kGQJP4BACnd1TBdEhTyBiAxJ/HCL1uGrbSW624g9AnA8KGLQUu7EDVWEJG85JgwFEpH5koKE64VYrs8jR0c4v1JjvdomFALP75gzSBJ+ELk7u3akWXp6scKl9QaZuE4hE2O9ZuEGIU+dXuHxO8dQVRnbC1itWewfSiHLMuWWzfRqgwOFDO+8a4x33rXVlXk7rodd2kcfrwXXWtzZfu/tdC9erQ1/8/Fd/cSxfIJMXCcb1/G8ANvzkSUJ14/M0/zA6e0DGJqCqsjEFBVZhkxco1hv02pHTGNdBdd/g1qXd8GEWGE/kVP7rLSfNenmFCu2y7l0Y7PrCUQY4AUC3/dZKLVoWA5+R5/y4aMjJGMa035IrGM+ZTo+6YROJq5v2aDarHe9uehyPfGoz6juYzO6MeHZ6Q1OLVVYq1mYTmTcJoikUKr/f/b+PEiy8zzvRH9nzz2z9rWrq5dq9AKiQQAEF4iEtXA3LVkezg2HbXp0I/yH70QMPYpwKDgxVtgxY0vjCF/ZDtuSbNEah30lTVAjc2RbFklJJkGRBAmgARBoNHqttWvLfTn78t0/TmZ21trV3dVAL/lEkI3K9eQ553u/93u/530e08XyfIZySU5PD3Bjo0GpHm/oO6GPLEnoqsKR4QyzI1neXi535ZR6kclk+B/+h/8BIQSqGi8j+xtzffTxYKEzR1RNh4F0oms2WDWdXWU0NmoWy6UWXhCxWbdx/Z1uzFvQ7hDobO41ydKSdrIMZeDM9CCfODPBzYqJQHSJT308/OgXEu8Q9zJZ3i7x275YKDUcvvnmCrMj2V13rZ89MUzT8nl7ucyPF0u8dr2IocmMF9IYWqwzVmy6NC2fiIgghGrLZb1ucmqiQNPx+PFShUbLxY/inchy69biQZEgqSu03MNpHyqIOk+I6yhEWCS4JM3hSnu3o0ZA1fJ36Ln1QpFjNpXlRl0GwbsrVRK6QiGdIKGqjBUSBGFEUle4fLOGH0aMDaT4xJkJNusO04MZ3lwoc3W1xsRg+q6KiH12wN7Y3NzkS1/6Emtra+TzeZ566im+8Y1v8MlPfhKApaUlZPlWkaparfK3/tbfYn19nYGBAZ599lm+//3v72nOcljYS/9wO7a7pW9/X2dcdvT6fnhlk7mJPM8cG2Ysn+yy7Appg1xSI5tUeXuxgh/GC9ChdIIQgSQEubQBQmB5AYosUzNdmraHJEnomkIUCSzHZ2IwTRBGjBVSKIpEqWZTajpYXkg2qSMRxWxJWUJEIMmx4Yoiy+jttjrHC9EViZZlo4UWUWIAQ5MZyuawnYD1uo0iSaiyTCapcmQ4y2KxSTqhkU6ohKHgA21d1rSh0nJ8mqbHUjnePHlisgDA5dVafJ6Oj3ByIk8+HWu/jhVStByfStPlhTPjzE0USBsqo/lEl70zlk92heD7C5Y+HjQctLhzO43E7e99Y6HEa9dLPHtieIdRUMc1fmowzfnZIRaLLd5eqnBxucJoPsF4IUXNcsklNFQ1Nk2RZImRXJLlUpOm5XPpZo25iRyZqhobrTxgRcQpscaMWAVgQZpmTRo7tM+WifVb42LLrcJhJ+/onAdNA0NVEH5IFAqEiJgaylBuOtRNj4vLFX7hp05349X2eaRznWumy9xEvhvD3qsulz4eDxwdyfDk9CCaLJFN6sxvNmhYHoV0LF0QCYkwigjCiM26hR9G5HQVVVbjToq0zpMzQ7y9XOZHV4vMDKf5+NkJPM/jxo0bnD59GmCLlExvl0Y//+2jjwcDndygafmsV20gjg+bdYf1tkHhp85Pc2W1zvfeXWMsn6JmegRRhB/sX0SURMQJscgoZQAWpUla7D72h3IGUwNxgfH6RoPVqomExKee7seKRwH9QuId4m5YLJ1EseOYtlfit3334LUbm1xdbQDwN148teM4OguKl//dBnXLJxIQCpm0oZI0EjRsF6ds4QchCUMFEeEGILyIuuVTbjqUGrfaS2031kWSibUMZFnCPqQiYgyBTESNLJelEzv0E/Z+107IxEVEVZZBAjeIuol/BCxuNqmlPVY1hY/MjfGp8zMsFZv86Y9XcIOI4WyClUqL5VKLhCZ3xaSPj2XvKhHqswP2xle/+tV9n//2t7+95e9f+7Vf49d+7dfu4xHtXvjdjSW02/s6bukQs4E6u3ydMS4h0bB9lkotjgyn+eLHTvD2coU/e/smdculWHPwgpBTUwWurFax3ZDxgTQpXcELQm5WLCw3QFag2HTQVJl8ymA4Z5DSVRhMs14x8YUgo6t85NQYddOl6QQsbDZRFAlVkhjIJHhmLMtyqUUQRmhqSCTA8QIcLx4vihG3QzdMl7F8iqQuM+tcQvFrDM98jNTQFFXTYaVsQs3CCwW5nM5AJsH1jQZpXSWMBJWGQz5toGsy/7+XrmK5Pk9MFbo7kJdvVlmtxhsY/68XTnJxuRLrQy5XePLIEOs1k5feWSWhqTx3MoehKlRNh6MjwwznEry5UGal0uruYl5cqvDNN1e2tJd3zn/HFbU/Dvt4r7FXcWe7bMJ2Hd7dCoW99/TFtiHTzXKqG3M6hakL8yXWaxYvXVrj+FiWp2eHubhUodiw2ahbKLJMOqEhtY2Lqn6IiCIG0zphGBfOSk2Xmlkkpat7sp7fNwiBIeI8ZVGaYrXdPnUYkIGELmF7AkWim/9EgK5KjOeTbDactgmdgiJLpA21K5uSNjSmBtJcXat15RWmBzNcmC9RajgM52J93FLDaRd4y1xcrvKRU6NdfardHLkPgj6j+vHE7QrPY4UUU0Np5jcbcYt+ENKwfRqOjyZLDGUMZkeyXJgv0rQDDBVcL8SPQk6O5fmZ80eYGkzz1lIFEDheyPxGnT959c+4du0an/nMZ/jwhz+85Vheu1Hk6modoKvZ2kcffby/MN2Ahu1hOhLHxrIcHYlJM28vlXHcAIl47fq9d9d47UaJbELliakBPC9kv8ZEWYQ8Ia4zQAMBXJdm2ZR2b1PWVYma6fLDaxuoqsxaxYw7Bx+orco+7gUPTCHxV3/1V/nKV77Cl7/8Zf7pP/2n7/fh3BX2muAPqh3S67Z2aaXKSDZJ5rjeZT7thQ8eG2albBKEIYOZJIWMwZMzA6yWLUr12OjgyFAGN4iY32iABIoi0XLCWIetswMfy6shy6DIEn4oDlXKvCYVuMgpmmR2tEneKaL2/ylK3JY1pMbsrFxKxw0iRnJGbEwB5FM6z8/F4s+5lN6lVb+5EO+klJsukYC5ycJdazb02QEPF+628LtX+3Pnv2U51t1c2GxgugE3KyYjuQTX1xvYXtxmZLkBAii1HLwgZgZEAlRFIowEYWchH4AXhOCGVE2fjbqFEBCGt9i3ElCzPRBgecGWIoBM7OTstU0VdoPvhLSceJTf2GzyBPMookKIzDvrFn55HdMNqLTcrmzqet1hs+4QASXc7sJ7o27TcnxML8DzQ6pmbNqwXGrxzkpcOCw3HTbqFtc34vOR1FVqpkuxEeu9IsFSySCb1BnKJhhIxwvxV68XARhIJxgrpHZtL++c/6h9oP1Fdh/vNfYq7myPG03LQ5GlbnuR1N4Gk3r4953i4kBGp2bFMhxLxQaVpkMmqcXax8UGqiIThIKlYpMrq1W+8foyq1WLpu0RRbHkgaJIaIqMIst4QUgYCZZKLUzn1gwfRNBw9ndkfF8gSdzgKBUK1KTCoX50ROxsD1sN3RQJQGIol+TERIEfXV3HjyIiX5BN6KgJGS+IqLQc3DDeqL24XOH4WG5LbHpistCNSw3b4/JKjYbjUW7e2sC9k9yh3/nweGO7GSBs1XK+uFThpUur3CxbXFuv4fghCU0hjMBx/bh7wNB4faFE3fQRxMbstSA2XUwaKp96+ghf+/41FjabnBjP8dyJEebf/B7Xrl1DVVWmpqa2fPellSrD2QSZ49pt1yq9v6N/H/fRx+Fi+7g6OpLh8mqNpuUhEeuY3iybrFUsbD/ADwRPTBbIGBoSgmrL5eUra905cTdowueMuEoGixCZK9JxqvvMy2EgkORYP73TldVZg/fxaOBAhcQ//MM/PPAH/qW/9Jfu+CBeeeUVfvM3f5Onnnrqjt/7IGGv4sRBE8XOImSjZlFIG3tOstuDxdxEgaeOtqhbLo4bcmOjTqluU8gYBEJgOgFNJ2AkZ5BJajheyPW1RrcA0EGnUBBEEByC2YosQo6LJZalCVwpLgg0pNw9fy50BOMlMgmNXEqn3HRo2T66pvDzHzlGw/J49XoJWYKG5XW1IM7P3tKpPD87RCFtbGExAVsYHwfBo5IU3e9x/iBhN7OCXg2rzj3h+mFXJ+jjZyc4OpJhqdjktRubPHlkiImBFFUzbo+PIsGbC2UURWIsn8L1A+q2j2l7FDIG41qSpu1zs2LiBgEJTUFTZFw/JIwiot4i4jYYKoRBhJC2+J20dRSDrvlQLyJizcQwai+MBbtuDMhAJATHxApDVIiQWNLncHyDyPfQZAlVgt7cImp/X8ZQkKS4AJoyVFwvwHNDhCRwPJ/LqzVatksUgSbLtByftYrFeD6FG4QEYayzmNIVcimdUAhOjOU4MZ4nm9JIGyrvrFRIaAq6IvPdS2tcXKoggLnJ/I728rQRO89XTWeH/ksf7y0ep3hyOxwdyVAzXRaLTSTgxEQ8D65V47m+Mxf15gidouJINsnxsRw3NpqYjk8QRqxWTdarcVvizHCWfEqjYXuUGzblpksgQJVj1n5nKk8ZGoNZHdMJaNk+th/s4AR0Yogsxe97PzkDeVGnQTbedJQkahTu+rMU4ri5L8uCW/lQJOKYNDmQ4p3lKm4QkUloTA6kcANBFEXYfkix4TCUTaAgcbNicmG+xOxIlpvlFrMj2e71dP2QP/3xMqEQzA5n+PiZW7qud8IsfFQ6H/qx4e6wWGzRtDxy7bb47ffDhfkSP7q6iePFuYsXRMhSPJglWSapq5SaDk3b77JvZRnUiHi+1TV+/RtvU2m4OH7AcDaJWr7KlUsXkSSJL37xi0xPT3ePpzeP6ut79nEY6MeGu8f2cTVWiPX+O2Zsl1aqOEGIoki4Vsh6w+T7767hhYKUobHh2Lf1WR2gTgbrth4HEMcXSYaEpvKBmSHOzQz2GcuPIA5USPy5n/u5A32YJEmE4Z1x2FqtFn/tr/01/s2/+Tf87//7/35H733QsFfBsDdRPIgz7PbEcnuhqsNUmJvIkUvp3CybiEjgBxEt16fp+KyVTSRZwvFDggjSlossgeUENOzYeOV+djDpwuN025k5JSx+zNmtFZB7QNZQ8MIISZZI6SoiiospQQTVVtwW3rA8VismXhAXaGZGssDWlrLn50a7hVuzXVy8mwTnUUmK7uc4f9Cwm1lBB73MtrWq2TUDmRnJ8vzcKLYfcnW1QSahdxknA+kEG3WLpXKThKZwdnqQdEJlfrOJH0VkUjonxwusVU2KDQc/iDULDU1BliRCYgZwB7lkHJotN4jdnKO4wL/bHC+2/duLjttarIfIjkKlKsefO8kGE2wAcE2apRJkkSMfIWKH114GZO/3DWYT3c+XJNhsxALNqiyx2XCoWT6eH+JH8cHbfoAfRkwMpkgKlXLLYbPhxCxpWUJGYnIow3/3sRPda3N1LZZ38IKQ6+sNJAlmR3P8zFPT3aSk93qabsCllSqL6dZDPR4fdjxO8eR2GCukKKRbXWbtzzw1HRcC0nvrIvYWF3t1FDvFdRGB6froqkQkIJfUqbZcJElCQZA2NGw/IAwEIhA0HY+66ZBO6EwOplmtWri+t+U7ZeLNhlCALoP3PrU5j4oiJ8UiZQpc5sQ95w4hkFBkgn36tmUZdFnCCeKmKz+MeO1GiXqb8T0zlGF8IMXbS1XyaQ0JiZLj0HJ8PvfMURaKTZ45NozpBkwMxDrVvQYYkYCErvDR0+N3vZh6VDof+rHh7rBX4a6zIZrUFNIJDdsNSBsahhYRhhFNP5YtajnxnK4pEgk9NgNSFIknjwzyzIlhXnpnjcqSy9npAT5xdpKstcL3Xv4eAF/4whc4dWqnxNLdzLGPyn3cx+GjHxvuHtud210/5OJyhaGswdnpwXidUrNYzCexvYCG5fPWUgVdU7C98LZFRIBNaRiVgAoFnDZBaDtkQFNBU1TShsLEYJqpoZ0mLH08GjhQITGK7l82+T/+j/8jn//85/mZn/mZ2xYSXdfFdW+1hDQajft2XHeDg0yqB3WG3es9Y4UUEhJ10+XP31kjYagEocALIlqOhyzJ5JM6lhIgSRICgRIJNFluOzAJdE3C8cWWosBhoteZ2UPlhnT00IqIAJqmoCoKrh/rP2QTGuOFBKYbMjMcGz3kUwaaIuEFgqSudHdve3dzO+g9v3eT4DwqSdH9HOcPMna7fh1G4vGxXNcMpPN8r9lKRwPr6EiGF05PYHsBI9kkc1N5UrpGGEW0nICPPTHOWCHF8bEcuqpQNV0SWszCq1serhdSbjpUTJfBjM7UQAZVkVmuxO5H2YTGWt1CkWKDlFLDRgCZhIbp+oShwNBVVFmi2vKQgMGcQUpTaDg+g6kE6aTKZs2i6QboisxQNhGbtpir5OsrAKzrR/G0Mc4MpfHa9J3hrMFazaZp+yR1GSEENctjopDmuROxVIMThOSSGm8vVbBdH1lWGM8nUVSZIIyomg5JVaVuewxlEt1zVbe8bhxq2T5OEGxpjzo6kuG5EyMIBCldI582SKgKU0PpPcfbozIeH3Y8rvFkL3QM0iRinb3dNhEvLlX4xhvLgOBDJ8cwNKX7eMfMYDiXoNx0KTZsLNen0nLajugRrh9haBKRkLBcv7sBEAF2uyromh4V02M39C7L3q8i4ogocUIsAuCiH9rnOrcRf9zeiWG5IS3XbusoKqzVLG5WzfYCNjbSsvyAqumyXrO6ZlJV02FiINWNPxs1i6rp8NTRIbIpbUtL1512Mzwquoj92HB32O/6v7lQ5spanWxCpdqS8cN4E932w26e33ACkppENqUT+LHkSVJX+MkPTDE1mObC9SJBGPHEZIHTOZv/+9vfBeDU+Q8zeeyJAx3jQe7pR+U+7uPw8V7EhkdBSm039G5cXVqpbiFCHB3J8fzcKP/+O1cw3QDHCwhFvGno38YLISeamCS7vga30ykWgBAS+ZTGL/zUGQxN6efjjzDeV43E3/u93+PChQu88sorB3r9r/zKr/AP/sE/uM9HdX9xUGfYDi4uVbhwo8hQ1ujuOgoECV2lZnkoisBQJWRZxg8UBjIGg9kEiiTRsFxaTlxsG84n0WSZTEJlYbOB68dCq7om4fvi0NiJA6LGKXHjwM7MB4EMqLKE107yKy2PtCGTT+v4gcCLBMOZBLrqY3uxLt352SEalkexafOJM5MALBWbSDI7nOU6zlZpQ72rBKefFD0aKDUcblZMBIKjI8Oca1/Tj5+d6CbHQJeev1GzeGOhRNPyqZoOKV3j5EShu9h/c6HMcydHmR7M8M5KlT98ZZ4wFMyOZSk2bDYtlyurNYIo4nPPHCWX1PnWm8tMDabbOkZFapZHsl1MGEwbbNQtUrpEytBoOT5hJOIWSAksJ9ZRk4gLApbrc3Z6gNWKSaXp0LAlglCgKQrphIoQgs26zYQTs6TWpTFuMkJKltAUhZbjMjuapdSw0VSZ8UKS1aqJococGcrg+BEvX91gNJcgiATX1xpIkuDoSJYjI1kalkeparNRt7G9kImBFJMDaZbLLf7jD2/wk09OIQFLpRYzwxmenxtlpdLiP7+6yG9+8x0+eX6aL3xodouz28fPxi2BnXMvIXF+dmhfRvfd4FGRK+jjwUGvQdpeBhsX5kv86PomYRDRsDxGCim+e2mVa2sNmo5Hy/F59vgIq9VYsLzl+ARRvPgSSKgyaIqC4wcHYhc8aBgWZU6KBSRgjREWpCOHugl5UMiArsk4bSZXGEbUTBdFlknpKm4Yoqkys8MZbC+k1HRig6w2k31iINWdLxaLLdar9q4a2ds3lvsxp487wWKxxavXNrm8WsMPQtaqJklNYSyfpG55OG3ZFL+nFcEPBA3LQ5FlJCCpKSR1lZcurRIJeGp2iI+fneDdN+N12dFTT1LRp/jmmyt86vz0beWWHpUOnT4eTTwqUmodbDcaTBux7vj4QJLBjIHjhcyMZHD9kP/vH77JYqnJRs3G9g+WIHTm5CZpLnGK6AD+BkldJpvQ+fiZyW7O3seji7sqJJqmyXe+8x2WlpbwvK072//T//Q/HegzlpeX+fKXv8y3vvUtEond6bHb8ZWvfIVf/MVf7P7daDQ4cuTIwQ/8AcBBnGF7cWG+xJXVOh88Hu9if/PNFZqWx9GRDEldIQwFNzabWJ5PNqHh+gGKJKEpEht1G8cLsLwwdm9EwtBUZEWOdwwA94DB5CAYFxscE8uxAcQdOjPfDkEktmgYmW5EFHlkkhqW7bPs+MiyRDapcX2jztRgmpmRbDeI/cEP57m4XCFtqGQSJYZziS2ul03Lw3QfQKH59xGHMc4fBvQadSyX4sVfx9Rj+2vg1phdLLZ47XqJcjPWyZIl2KzH7t9PTBa6bYybdYc3FkpcX6sjgOVKi5bj4wW3TFC+c3GVXEpnvthkrWZhaArFtqN6y4mNS6Koc//fuha2vzuzCOIxErc3RDs2Cmo9TMCGmGVEylFkEAJwA5+6WUGWYbNuE0QRQsS6YZ3iRLHpItqt1ht1iyCM8NubmubNatw2GYQ4fthlNjbtelwAabvFybKEELBes7hZMbH9kOVSi9fnizh+yHfeWeULH5rd85q9dj02NCikjUNfsPQXQ4ePxyWeHAS7bShu1CyCICJraPhqRBgJijWLlYpJqeEgSxLlhk3aUHnh9Dj5lM6b8yUajocmy+i6iiJLqIqMrsp4QYDlRodqmHY/MSQqzIl5JGCdYealmfe8iKi0tSENXSaX0AlDByHA0BUUWSab0BjNJ8kmNQbSCaqWx+xYjk+cmegu4kw3oGo6vHI9LvA8c2yYM9MDuzp5dxZ8j3sBph8bbmH7JtZum1q9xYNsSmdhs0GxbuMHAtv1MD2fSIh4LaCqqIEH7fk6EvHCL5PQMFQZWZZ55doGNcsniAQnxvLx95z/EC3SHD06y+uLFRq2x2Kxtesx3WtXz0HPRR+PHw4zNjxKUmoddMae5QVUWy6GpuD6Ic+dGMHQFGw/4O2lCj+4vMFG3ca9DTO/CyGYZINZEXcreegH6mCUgWxS55Pnj/Cp89O3fX0fDz/uuMrz+uuv87nPfQ7LsjBNk8HBQUqlEqlUitHR0QMP7Ndee43NzU2eeeaZ7mNhGPLSSy/xL/7Fv8B1XRRF2fIewzAwjHtjtz1s6LT5FVI6v/7HF6nbLkeGsth+gOUGHBvNsVhqYrshthvQcjQkWUaXZTbrNl4Y4gedFmaBuU/h4V4giYgRUUECNhjmhjRzz87MHewV9hw/IghdVEUmiiJURUFCwnSCbnHw8mqN0XyCtYqJhERSU2latxKixWKLhr2z3flxx2GN84cBHSOEuuVxaiKPQFA1HS4uVViptGhaPg3bww1CXD/sao+8cm2TzbpFzfKQZUgbGhXT4U/eXOaHVzZ4YjLPqakCpYaD7QQMpA0cP0QidlCVkbC9EF0FVZKpmy4gcP0AVZbQFfA6VYC2xuH2ro/thknb4Qc7i4gQO68JVAIpdm8pMrTleYlOq1+EIkEuoSLJ8q2WSHHre0UE4/kU5ZZDGAnG8inCKGbwyFJsFKMqseRCEIEqx+3RmYTK0eEcKV3FjyIKKZ3RE8MoUmxc8OLZyX2vWadNdLcF+u0WYvth+wK/j3vH4xRP9kNvAWA7Fost1moWgxmDUAi8UEAQocsKKUMjjASXV2v8xx/e4Pm5MT7z9AyD6QR/fmkNJInRvMFGzUGW4ehknrWqjeO3ENHWGKEpMJaLx+tumwzvBwZFlVPiRjt/GDp0OZTtMNRYX9nyArygbfhkKCQNFc+PyCbUrgB9PqUhSTI108HQFE6M58gldZZKsXHO8bFsl6HeubY1U0KW6G5QbmciQvt6Vy3OTA/sas73uKAfG7Zie0F5r03MSytVUoZKsW6zVjFp2D6GqpA0FMqtAMeLkGS6G34QF8oTukLGUEknVExHxPrFSLxwegzPtjg7FRtBvblQ5s2SjJa3u4YNvdrul1aq1EyXQjq+5zvF8sPs0Hmci+t9HH5seJSk1DrorF/eXqrgeAFRJNio2/zo2gYpXaNYd6i1HHwRERyUKyMEs2KFybZu+ipjLEjT+87JugKFdAJVlpgeSu/o/Ovj0cUdFxL/5//5f+YLX/gCv/Ebv0E+n+fll19G0zT++l//63z5y18+8Of89E//NG+99daWx37hF36B06dP80u/9Es7ioiPE7ZTlZ85Nsx/enWB65sNNFkil/QoNR0qTZu67RKGAkRcSEtoMseGsyyWm3hBdKsQcZ8hJJl3OckQVdYZObRFwGBKx/J8/EiQ1BTCSKDJEsgSfhAnSqos4wYCNwjxw5B0QiWhybRkifWahen4PHV0iKbtUzVdRvKJLbumVdPpOmT2EeOwxvnDgI4RQmdRB7F26WbdYbnUotyMWYZD2QQLxeYWE5aa6eKHEUEYkdLjlgLbi6iYLtNDaT799Ay/+gcXqNseaUPFiyKabQZRhEBRIJsyqDte7MjaLvpHkY+qyEhh3FoXdCjE2yDvUlzsxW4upZrw+IB4lyYZrjGLkOIWJ4lbBYfesBEKyKUNLC/Y8lj3O6KIQsbgxSeneP1GidF8gteuF/GjuNA5mDP4zNMz3Cy3eGupQjapdd2mz80Moqoyr98oUbM8/saLp7rtn/uht010Ow6yENsPey3w+7h7PE7xZD/0sp+jSLBYbOD4EbMjWWwvYKKQwvMDZEVmJJcAJEp1m5EoQdMOuFlp8dZSlZtlk+F8kvWqRdPxSeoKhqrgBgF+EHFkMMNGvdXVSOyFpspkkioNW8bby8HpPUaIQoRMmQGuS7P3nD/st8EiQ1vWRWl3ZoRkEyrTQxmWSk3CKKJh+7hBSC6l89EnJnhjvkgQCkpNm826zXyxSbHmMFZIMD24tbjSubYnxvI7nLh7sZ259bhKpPRjw1Zsvy86hYKq6bBRsxgr3NLffO1GkUs3q3h+iO3F0j6ynMDQFCzv1g6CoYCsyCQ1BU1VOD6WpWb6BKFgdjTLp58+wuyQwb/9t/8Pm++k+Kt/9a8iuvQDsePe7Hx/xwl2t7b9+3Eu+ni8cJix4VGSUuvdHC81HC7cKOIHEZODaUoNB9PxuLhkYboBsgQgIQkOtMqVRMRJscAIFQAWpOnbaiJCbH7jBSG+BF4Q7ejw67OLH13ccSHxjTfe4Dd/8zeRZRlFUXBdl+PHj/OP//E/5m/+zb/Jz//8zx/oc7LZLE8++eSWx9LpNENDQzsef9ywPSGVZQlVljk+mkNTZEpNh5rpYroh11YbIMVtgr4f4DcjXrm+ScP2Y0ZDG4oUL/4P02BFFx4D1NiQ4gTClzTWuftkQmlXMzrtnooEqYRCEEVEQUjK0EgbGpIkSOgKjhdRbLdVykgICTRFZjiboFh3kGRQJInVqsmxsSy2H7JSNhnJJ7uBbKyQYiCd4NJK9b60SD6sOKxx/rBgL8OV0XyCpuUjEORSOtODmS0mLE3Tp2q5TA2kSSU05jfqbDYc0obGC6fjtvrOv0eGM2zUbKotB0NXCcKISsvh3JFBTMen0nJp2T4122MklyBtaCwUm4hIoMoxc7Bhe1hOgK7KDGYTZAyVlhu026QjTMcnldBincSoXRwUEWlDw48ipMhnqnmNBB6KbDGWVnEimUxCI5PSqbUcTDckockEkcD2AgpJnY+eGscLQ/7kxytEkSCT0KhbcXE0l9J58ewkx8diJsPsSBZJkvjxQol8yuDkRJ5njg0z23ZOPzKcoWn7Xd3XDjur12TlMK/lnS5G+ouXw8f9iicPumh6r0nKuZnBLa6Kphvw55dWuXSzxrWBFGP5FJt1G9sP0SPB4maTqaEMqYRG3XT5wMwguaTKQqlJzfaomG5XI9HxQ/SyheOFWG7Ij65t7rqJABBFghsbzS35wfuNupTjLU5jkTyUTchOL8T2YqJErN+kKwqVZtvwKqmhyRIbNQvTCQhCga7KpBMaH54bI5fUSBgqs6M5hrI6aUNjs+5guh6Or2O6QddQZWIgxdRgGtMNbrtgelwLh9vxuOUat8Nu8keCUlfK4+nZ4S7RYDibYLyQYqnYRJbijYFKy4klDuS4qyB2UFXQNYUgiGjaLi3LY3IogyJLKLJEPinzu7/7u1QqFUzb40/fXOL41CgD6URXm723CND530bN6jrPvxfnoo/HC4cVGx41KbXezfHLqzXmN5skVBlZlnhnuUrDdrdtIh58rj8hFhmhQoTENWmWkjR0+zcBYSRw/RCQkOWdnUJ9dvGjizsuJGqahizHadro6ChLS0ucOXOGfD7P8vLyoR/go4r92u86LLm4pdKn3LSZHY31/t5cKPOfXl3AD0LCMEKWQFcVQhHhtVsR19s6bb1IagotLzy0ImJamJwW1zDwCVEOHGz2Q9hmXXV0iiIB5YZLGMW/zXIDpgdT3TYvITzSCQ23XUQhiNC12LHZ8SMatkfSULvtpL1uu73oFw524nEb51sS455xeW5msPuajZrFmwtlBIKnZ4cZzBh899Iaw/kE2aSOBPzE2YmuK+d/eW2RP3ptkUJGp+UEvPTOGpoic2QojabKaIpGGMY6hl4QkdRkbD9CV+M24POzw1huwPxmg5SmkEno6NkkP/H8OCslk1dvbFJq2kSRwFDVdnu/TBAINFVCVyUaloeqyPhhiAgjJu13SQoLH43KwFM8fXSSKzdr6KqCRNxOKUSE5UQMZA2Oj+VYrZj8+aU1hnIGT0wVSKgKmiKzUbdIGxqj+RQ/Xijz48USp9rOpflUXHxUVJnpwTQvXVojoSo8c3yEqcE076xUWC6Z/JfXlsglNUbzia4D9sWlCt+9tMZQ1uATZyd3vS776UYdHclsYUfc6WKkv3g5fNyPePIwiKZfmC/x+o24AHBuZnDLvbVRs/jmmyEN28cPm+hqrGcUhIJy02K9arFaMTk1OcDCZoNKy+WJqQJrNYua6aEAdDYHI8FG3SQI4+LZfkYrziHqIt8LcqKBj4YtJQGwpMMbc3t1cAnA8yMcP2q7VQaYbkBEnHdIEiQ0GVmSMFSZiUKKtarFwkaDwbTB9FCalUqLjbqJ50dt5kdsiNdyfMYKKc7PDnWNujrYPnf048stPG65xp2gM6c1LR/HC7ix0aRp+by5VMYPQoSAjbpNqeEQCdBUiZZ7q4IgQ2zE5oax1jECv+1O3rQ9JgfTVFsO//fv/z61zZtoRoJw+kO8tWoxNnyrJX8vc6h7nSv7LKU+9sNhxYZHTUqtUyNYKjbxg5DBtEHNdLl0s0rZdG//AfvgpjROTjS5Ls1Sl3K3fb3a3vfLpXQ0WUJWZJ49PrJjPPfX2Y8u7riQ+MEPfpBXXnmFubk5XnzxRX75l3+ZUqnEv//3//6emYTf/va37+n97wUOa+J7Y6HE995dZ3IgzV/+8LEt1frn5+KdwPWqzWKxyWrVJGVo7SQVbmw0KDYcJCluOSykDDbrFo4f7FkoDMThKSFtd2ZucriBIRRxQi8J4rbR9o+y3YClssmzx0copHWay1WOjea6DpayJKFIMDWY5vzs0Jb28N0KQx30Cwc7cT/H+YOM/XbNFoutroHKQDrB5dUar90oIgHZlA4ibn8eSMcFsZevxOLGuirjBxG2H6HKsTmJripIErQcH9vbOTYbtkfN8nh3pYofQcMOoOGiyvCdixFV040fa8MLe5fO2/QMgpCWE3BK3CBNgwCZd6Q5zGpE0VnHbJuf9JqpAJgVm82G0zVL2WhYqLKMpsaJne0FqIpMptiMdyJF7Kg+kktwfaOB7QUkNZXr63Xqpockwexojo26zRvzJdZrViwWn9S7522skOLCfInXbhTJJXWOjuR2bU/eTzdqt2vXx/uLw44nD4to+l6bVxBrkK3XLIIgpBlEeEHET31gCgmJ715apdryyKUNWo5Pw/KotFwalofrh7he1G0vSOoyqizTdPae/x805ESDM+IaETJvcRpHOhhL5DCwvY7alXMQIAtQtPixmuXx7s0axbqN6QY4foQbRozn49ji+iHFusOF+SIDaYOUsVV/uReducPxAjbrzp7ut48jHtdc4yB4YyFmIs5N5JmbLLBes1ivmtRMl6bp0XA8nB5DJXcbDVlT466mQIAXCFQZMoaKrkqM5JIQRcgbb1Gz1lFVlb/4s3+Fddegbu3eSn3YRYD+nN3Hfjis2PAwSakdtMZwY6PJa9c2cYOQkVyShKFQau4kER0Esoi6bsy2lOR1njywx4Ghq0wNpjg2muPIcIZ8Suf87E5iUX+d/ejijguJ/+gf/SOazSYA//Af/kO+9KUv8bf/9t9mbm6Of/tv/+2hH+CDhsOa+DqmIKsVs1vwkmWp2+aXNlRsLyASEQlNQVcVfnR1k6MjGc4dGeT7l9dRFQlNjdsd/ShiMKPhh4KWE+xgJBwKC0EIJthk9j45M2/7qli/qH3YMiDJYDpxm6kXRKiKRKXlIksSR4bSGGrM2jLdgGFo79j4ZFNafxfkDvG4jvP9EuajIxmeOzGCQHRbck3HR1flLiOx9177yKkxrq7WKWR0mnZAsWFvYyTGhkirVWsHI/HYaJbzs8PIkrSFkRgBP3HmFiPRC8ItjERJlpAlGU2NW5YalocqS8xESxS8KgKJeW2OSM4wW0hyemrgFiNRFmzUHTw/QEQwkI1b/VcrJookM5Qz0DVlV0Ziw/JAEpyaLDBeSFNIGwRB1GUkrlRMEqrC1FCaqcE0CU1muWRSSBvkktqW8/bMsWFM51br827XZbfr1N/xfHBx2PHkYRFNPzczuGPzqrNQqFsug5kEAykd0w2JhKBh+ZydHuDYaI5qy8Pxgm5rYhRE5FI6SSMuzrt+SCDA9SNkXXpoiohZ0eSMuIZCRIMsLvp78r2GIuGFou0YH0s/9JpQyDLIksRgLomKjEDEG5qyxORAGkNTSBsqz5wYZiSf5PX5UjtW53hyZnBLS/N2dOaO6xv1Le630GdlPa65Btz+2t/S7haM5ZMU6zaOHzKeSxH4ES03QFUFIhQoUpwv99YSE7qKoSo4fkAuqZNPaRwby5M2VBaLLeybF0lb6yBJfPGLX+TUqZM8xS0G4mK6taWV+bDRn7P72A+HFRseJim129UY4k6GFa6sVqmaHkEUEUYwkk2gyHcuC5IRLZ4Q17nGsS4D8U6MUnVV4oPHhvn8s0cfy/mrj7soJD733HPd/x4dHeWP//iPD/WAHnQcdOK7XSve+dkh6pZLueni+iEXbhRZrZqM5hOcmxnEdANWqyY10+PskQGmh9Ld4PL2chmAlK7hBwLL9YlCQRTB6akB5jcaFJv3Rm/eASE4JpaZYBOAdYaZPyRn5v10Gw1NQpdlJEUmDEOyKQPHC+NCR9pAUXw8X+Zzz8xyajLfPceLxRavXS9RbjqkDbXPArhDPA7jvHdMAru2xfZirJDiU0/fGsuuH1JqOiyXmqQNlWdPjFLacLhZtpCAqukyNZimZrkMZgw+/fQRbC+gbnk0bY/Vihmzi/yQpuPj+gp6u63u3bbuiSJLJHWV8UKKxVKTMIj4z68t0jS9LrPGUMALQxRZYjyfYjCXQBKCQsZgvJDi9XcXyazF7mvm0FkKxhi5KMIPBb4f8aG5UX68WKLa8pgbz1MzXYYyCVRFRkiCF89OAXB9s4HlBIyPphASUI83MYIw4smjQ0QCzk4PUmm5vD5fotJ0mBxMkVAVhrMJ8imdpK7ye9+7Rrlhc/7YMG4QsF71KTYlUrrW3VQ5Ppajbnm8uVDm/OzBdjP3es3jvlB/EHCY8eRhEU3fHl86ra0A19caOH5IPqVxdDjLUqnFj65tcLNsslRqslqxKLccbC8gk9AYLSRpWH5X9mBqME3L8tls2AQCWm64wzDpQURGtDgrrqIQUSXHu9KJQ8khtkOVthZU4mKsjCRFCCQGszqm7dNyQjIJlbGBFK4bkk3pfPSJMc5OD3Bppcr3L6/jeAHnjw6hqBIj2SQfPxtr3p6bGaBpxRuV52eHunneGwslJKTuY9A7dwxtuSegz8p6HHKNvXC7a39+dohC2mCp2OTPL63Rcny8MCKb1MildAoZHYTE5dUaQRR1uwc6qFs+hhZ3BiQ1hemhLJoi89qNItVak5P2TQBOnH+BU6dOdd/3XhX4bjev9+fuxxuPY2zYbez1ai2bbkDD9jA0lULGQBYCVZGpWi5Vy7+j7+rtLpwSa9TJHlijWJFiwlPa0NFUpT8+H2McPpXsEcdBd+beXCjz6vUiz50Y4VNP72zFGyukyKV0rq41uLhcYbVitlsMY9HvmulSaLdLjmSTCAQpQ2Gp2GS1bKHIEk/ODmN6AWtVi3LTomH7/Oha8b787jzNbhFxQZpmlbFDc2beq4iY1GQmB9JIMjRsn0CKtR4btkdSUzg6kiOfjpkchqbsuDbPnhimafkUm/YOFsBB0U9kHl30jkngwIu5zvvWqiZvzpdouQGKBK12a2FnVJhe3DLs+iG6psTsQQHllkPT8qiaLrYX4Lf7khw/Ahtg5yZAse7cKhC4W1uX4z9jgdH5zVgKAQnSCY20rrJW80lIc6Rx2KwlQWoQRfHwrVkuA2mD5bKJEFBuOkiyxFKp1W1hXiq2ANis24RCsNmwQEDNdBHEBkfllksmETOLbpZbLBVbRIC13sD24gX6UCaBLMFbi2X8MKLh+CT1mHmd1FXqpsfEQBpZlmK37JbDUCaxqwnSnSy+H/eF+qOEB100vXe+6L3vaqbLN95YJm2o/MSZCbIpnfW1Oqbj4/oRhiajSBJN22V+o4mqyOQTGnKbZbRZt/GDiLrpgtQgn9IZzBg0HZ+mG7MWDU1GkojdWnugdjSH78svPjgywuwWEeNuhpP3VETcz5lZkSEMb+UWshzrR8uyFLO2QoEQsSh8JCJsN6Bp+zhBQMv2Md2AUtOh1HTwgpCLKxUURebDc3GMWyy2mB7McKFeYnPN7soydDYwgW7c2s2oohd9Vtb9wYNuxAS3v/ad+6VqOt0CQhTBetVGkuATZye4uFTF3kf/3PUFYRA7Om80bAbSBuWmjRdI3Myc54PjEp988aO7fu/7jf7c3cf9wsMgpQZxTvGfXl1gpWzScnxOjOWIIkGp7mC7PrIigR/eMXloVJQ4IRZi0gM5LksnDrym1xU4OpJjtJBEV+RDM0rs4+HEHRcSjx07hrTPzXbjxo17OqBHBR3mQeff3RIGCQnHC7DcuD3GCQJcP+S3/+xdVFnm6GiGkXyEIE4cOgvstZqF44c0HQ9FkambLrIcG67cL9SlHItMYZOgIg3ct+/pQAIMTaHl+AznEoxkVeqWSzah4bgBXhCyVrOYKKTYqFts1Kxu63cnCfr00zPATmbIneBxTWQeh3G+X3vsQd53fCxHEIktjMSm7beNS6BiOhiKQs1ySRkaHzo5uoOR2LA8VqsWTcfHUGNGYlJTsf0AQ1VQZAnHD5noYSSqmrKDkYgUtzJPFNJdRmI+rTExkOG16yXqVhJNlpkzZMIQojYjcW48z3A+QarNSDw6kt3BSJwaiH9vh5F4fDSLkGB+o0EYRaR0tctI7Lgzz282u4zEp2dHyCS1LiPRdIMuIzESgjAQKKrEk0eGuu2DY/kkdcsjn9L3bBW80+vVX6i/fzisePKgiqZ3GANJTcF0Y73S3vuuajqkExoTA8muflBCU1gqNRlsa6qmDBXbj3D8gJNDeTbqgrrjY7s+9hYLRkGx4dB0PPwg1l1VJAnPj7arowIPRhExJSzOiiuohNTJ8K50sqvJdLfQVHD3cFVxQ7pSERC71waRQEKgyFBruchtHWZFUUkaKi3bo2Z6fOfSKvPFBmlDQ5VlZE3C0BXG8ylmR7J8880VGrZHLqnH//bEKNcP8fyQmbZpHtw+h3hQijbvF+5HrvEwGDHB7td+t83r6cEMcxN5bmw0WCo1227tId97d52m5aHIcc4syRJ+IHaMdwFEQuCHEeWGRYhELqXzEx+Y5nPPzhzoGPZ6/H5utvfn7scbj8M6ZDt20wNXFZnpoTTD2QRrVYtLS1XWaiYAItqhir4/hGCaNWbEKgCbDHFdOnpHm3oJTeHZ4yOcmxnsk2z6uPNC4t/5O39ny9++7/P666/zx3/8x/zdv/t3D+u4Hno8PTvMQDrRnQB3SximBtNIksRyyWSzYaMrCutVi3LLZTiToNx0Y6FkXeXKWg1VkRnNJZCIHYzfXt5/J/JekRYWHhq+pAFwU5q4T9+0O4IoIq/HRgwrZZNICIIIGo7PQNpgMGNQMV026w5QodKKd2Rul/jcCR7XROZxGOd7OTXDzvumUygopHRqlsfsSJb1moWEYDSfotxw+P0f3CCKItIJnaePDnH++BApXeOVaxtUWg7ffGOZjbpFteUymE0QRYIwDLH9AFUGO/Bp2JBPhsxNDlAzXZZKTbIpDT+M4jbnpEbD8hDAzFCaufE8P14q0bA8MgkD0/Up3rQZVGyi1mXe0OcwSeEHIYamMKGm+egTYzRsjzAQ1NuFzKeOjnB1rcblm1WOj+X5yOmxrrvoRs3ij15bYq3comZ71C2XF05P8Et/+YNbzs0zx4a7enAdmYFesyOIxeOPjWaZGkzzE6cnODcz2G0HtL2AU5P5rilS5xqUGs6O63Mni++DvrbPPr5/OKx48qCKpnfcmecmczx7fHTHfNGbD5QaDhfmS/hBhOtHVE2H+c0mpheSMVSOjeYYy6e4vl7H9nyiPWb4KIwI2p4r+9msvN9FRAAXHYsEIHFJmiOS7v067VVE7MAL4yJr0HMCYga1FDMSkRAIXC8gCCKGskmcaotK0yGhqowXIIwiXC9Ezyc5MZ7H9gKalocsx90Ro/ncFhfmhWKThu1vafV6XHOIg+Kwc42HxYhpN2zULP7ghzdYq1i8cGa8uxluugGhELheiCzJOIGPH0ZcW6sjSRJhBLIE0S5FRABVgXzKQDgNjjrvsqKf4Pzx0/zCT5/e9Tj2Kn6/1yZnj3uR/XHH47AO2Y7t84XrhwRhxEDG4O2lCpIEN6tNggg0ee+Ovl0hBMfFEuPEnYsrjLMkTR28nZmOd4FE1XT6uXIfwF0UEr/85S/v+vi//Jf/kldfffWeD+hhxW7tK51FeC9TrhemG2D7QVyQkCVyCY0jQxnGCykqTYe67fLE5ABV0+Haeh1FjvXThBCISGCFt1KG/XQG7wYd7QSLBBd54lAS/4Oi81s0RWEsn2StalI1HXRFJpVQkKQEU4NpkrrKUDZBylBJqAoTA6kdyfpiscUr1ze5vFq7K43ExzWReZzG+UGS406hQJYhiuL23WLTYWmziR/GBYHOaHRaLq/c2CQQIm7lXapgOrF2SYch03BaceK/y6Ct2QFvL5W7r3UbHpWGt2OBsFQ2qVm33Js3G7FjW1LYjIh30QgpODcpyscB8N2Q+c0GXhBvPthe0HVbXmq7w/shvLVUJpvSt7Tr/eDKOitVG4CWY/HylXWenBnccm6AbiGxc/5kOXaN7OC16yUWNhsI4tbrczODu7YD7vUZ93MsPq7s4/cChxVPHhTR9O3zfa87c2cMdAwLAJ6fG+3eU998c4XXb5TIJjUiBA0rwnJDhBBMDmc4NZnnrcUKrh+hSAqqLMgmVFK6iheEFBsOglsFMgF7xpIHBaGk8g6nYg3H9yiXUGWQZYnAu3ViDFUikzRQJRgpJGmYPi3X48hQhk+cm+Rr37/GzYpF3XL44PEhlksmFd9jodjE9kKOjWY4NzOIhMRa1WJmJLtl8ymhyZyazHfvh/7mxO1x2LnGw2LEtBsWiy0WNptUWy7NHr2zoyMZLq/WyCS19sajRLHRkTuJ7+/e8a/JW41XhjJJxlKg1d9FxeeoUuRT53+m+/rt9+lexe++yVkf7yUep3VIB735L8SbUysVkws3ijheCNKtTTQ/uiWldFDIxPn/vDTDurS7Hvxu0JWYGR1EAkWWqFn+XcmF9fHo4dA0Ej/72c/yla98hd/+7d8+rI98qHAnO3gdHB3JkE9qLEYRCVVjrJDC0BUu36yxVjNJqCpPzQxTblu6R1HEwmaDuuURbFs1HNoaYpszc4B6x4HqXqDJYGgqmiqRSWgslkwaVuzMXEgbHB/NoakKsyNZLM9HQiKX0liv2rtqqXUSsPW201XfcOXe8CiO84Mkx52F4XZG4mBax/Ejyg2HtZq1KyNRV2UqLTfWP92FkVh3fBACL4rwfcgn1R2MxLFc3MKvKzINy8PxIyYHtzIS8+kEmnCZaFxFI8SWM2wax0kJ5RYjcWAnI1FIMDmQ5upajRvrdY6P5Xn2xPCWc/DRU+OE4So126OQMvjIqfEd56ZXJ6Xz3HZG4rMnhhkvJPGCqPv6oyMZnj0xjIS06zXY/hn3C/0F0XuPhzWebJ/Xd3NnPjqSoWa6VE2HjZrVfd/sSBaA2ZEsC8UmG1WLhKawUmmxWjZjxlwQMZQzOGpkMN0AVZEYL6TQFIU/vrC0o5VJV8C5DUPvvUZS2ORpdhcr7+VmJIChxoVXVb4llWJoCk3bYySX5JNPHeH6RoPVqsnEYIqFYpMPnxrjv76+hO2GVFsuP3FmgpcurZI2NASCmul1maWF9C1X+Y6TZsP2+NCJ0R0bKrAz/+sXGffH3cSGh8WICW5d/7Sh8s5KhXIzNmeTJYlIwFKp2Y0bf/TaUrcrCSTqtrsv0zhpqPhBSOALNBmGMzKpjdcQwifSM4yde4GRfLL7+t003A/ahv+4brb38f7hYc0bdsP2jp7OXNK0PGqmy2rZpFSzsdwAf5dBf0drf0niOrNsMkyj7dB8ECQ1iTPTg2STOuOFFF4QMpQ1+rlyH8AhFhJ///d/n8HBwdu/8CHBnSZ5d7KD1+v6urDZwvFDCpkEuZSG7QaUmw5+CEIE3NhsUKrbhEGEG0bU7fu4WhCCY2KJiTbteZ0Rbkgzh2aqcjtIgKpKjOYSzE0WWC43WataSBLkUjrnZ4eZHsqwVrWwvYDNukPDjp1mz0wP7BrUxgopPnV+uhuYOzso/ST+7vCojXOI75FSw+Gbb65sYRQBlBpO14XzU+enKTUcXrq0ytW1GrmkzqnJArmUzvRghh9e3WCp2OKnn5pmMGPw0qU1EqrCzHCWI8NZJODt5VgXFQSWF2CoMildJQgFUhAxmFOYGclybCxLNjnEO0sVLq5UWC61yKV0skkNQ1UQksRILkHSiB2R3SBCinzGWxfRhYekp/nkZ/4yby43WK/aWH7s3JjQZBY2G/ih4Np6HVWR+ORTR9BVhXRC48OnxvnQyVEsz+e776y1DQhCckmNuckCR4YzRCIuqP7Wn1xirWqRNBTyKYPVSouvff8aP/3UEQYzBpdXa8yOZLG9gItLFSqmy2DaYHooQ1JX+cYby3z9Rzc4NTnAJ85OHKokwd3eB/1Y8N7iMOLJ+yGafpCi81ghRSEdL9AX0zG74NJKlTPTA/yNF2OH1FO1WxIAX/v+Nd5drXGzbDI9lOHszBCj+USXxVs1PaYG0hiGQrDNcOlBKyImhMM5cQUdnwiJTWnkvn2X1u63CiLIpzRalk8kQTqpMaTGHQtPzgziBRGvXi/i+CHDWQNB3NlxaqKA6fi8vVRlNJ/giYkCddvjhdMTnJrMc25mkLShcrNiIhC7mqYsFls0ra16ibD/fdJnQO+PO40ND7oR03b0Mu7fmC/RsOPCQRQJHD9gudTiP7x0hWLD4dpqHTeMGEzpOEGI4+9fPmj0rBNEGKKvXUD4LfRkmvGnfxorUrewifa7T/u5ch8PGh6ldcj2jp7FYouGHctnvL1U4Y2FIk032CLRcSfQhceE2GSx3cIsJJkGd1BE1GU+8/QMHz8zgekGVE2H9arN0ZFcPx70AdxFIfGDH/zgFvFTIQTr6+sUi0X+1b/6V4d6cO8ndkvy9ptQ9xNNThtql6bcaRXsuL5WTTfWPglC3r1ZYzibIJvUcLwQQ1UwndhBMGjrA94vKCLklLjOAHHb4eIhOzMfFGlD5+RkgU8/fYSv/um7mHaApslMD2Ww3YCVskk2qXJjo0HT8RkvpDg/O7TjGrl+yEKx2S0Mfer89BbDlX4Svz8el3HewW6TeSfJXy7FY7eQjotjF26UkIBsMnbwHMom2Kw7vHxlg4rpktAVpoYyXLheRJLar2v361/fqGN7Ebs5MwM03YC647NRt8mmdK6v1XvaoWN3VtpOrhs1i4WkRrnpIqKII+IKBrGu6bwyhz5f462lCvW2u3JcqJfRZBk/jLqf+52Lq2RTOkubza3u0k2Hpu0hRBwGTDfgxkaDTEJHlmFxs4npBiiyREJTur8xoatMDWV4/UaJm+UWkYCFzQamG5A2VGZHc3HL93IFzwupmLHJy0GZ3H08fHhY48lec/5Bi857sZ17P7fj8PzsiVHcINZClSWJH7y7xuxIjvFCCiEiaqZHw/Z4YrLA/GaDluWDFI/NMIJQ9GgYcbhSJ3cCQ7icE5fR8TFJUqFwT5+nSrdaNCH+jYoMuqaQTel88qlpVsotXp8vk1BlhkcNqqaH54ccGUzzqadnMDQF1w+xXJ+q6ZJQVW6WLUbzSbIpDS+lUzNdzh0ZRNdkVssWby+XGcwYPD8XMyqHcwneWCjx5kKZ87Pxsbz0zhqlpsOTRwZ57uToHd0naUNFliXSxqHt5z+UOKzY8KAaMe2FXsZ9QpO5shq7uPthxEg2iR9GvHRxDS+MiETsUm4H4Z4dQtv1QAEkEXFK3ED3m6BoHPngT/HBJ2Z2MPz3u0+3z8X9wmIf7xUe1rzhTvDMsWFMxyehyWzULNKGSi6pEwQR7yxXURQZXZGQZYF3hxuGSWFzVlzBwCcSEsvS1B0fX0pXmd9oMJxNMDOSZXows8X/oY8+7jiD+dmf/dktA1uWZUZGRvgLf+EvcPr07sK9DyN2WwDc6eK283rLC6i2XJ47McKnnr6lP3J8LEfN8ijVbQTQtH2mBtLMjuYwdIWEqnJsLEfT9okigdrWZ7sf9cQTYoEBGoTIXJWOvSfOzBAnR53fo0gwmksiASuVFhARIVDl2JH2raUymiLzzPERokgw3mYb7laAWKuabROWuDC0PVHqtzHuj8dlnHewvT23N8kfzSe6bbdpQ6XleBiqQi6pIxBdRqIfhCwVW7xweoLBjEHL8UmoCtmk1i3kZZMaN9brsUuoEzMS/TAiCAV+EJE2OozEHNmkTs7QuLhSQQi6jETHDbqMxLF8kuvrdYKNS+T9FiEKK6kznD8xw8dOj6Or8g5GYkJXtjASXzw3ia4qDKQNUrraZSQ2LX8LI3G51NrCSPxxuryFkagpErYbdH8/0GUkThRSXUbi1FCsb6qrCrbnc2pyJ5u4Pz4fLTys8eRO5/xOm9LsSLbrQF41HWqmy/nZIZ6fG93SBgtQM11evV5kMGOgqTKmE1BtxQZsxabD+dlh1ms2taZLy/URQuAFsf6qocr4UUTYLrSFxC7u7h3ZOB4eDOHypLiMgY9FgnekUwRts7a7xjYB6JDYqdJzQ0zX5rXrmwQh1C2ParvgIklxYbVllwGoWR6ZhBYbt7XN7UZySX76qWk21m0uLVcpNW3ShsapqTw/uLKOH0ZkEvqWNuVeLVeAl69u0DDjz+6wTA9aaDHdgCgSXZfvxxWHFRseVCOmvdCbk56bGeTff+cKL72zSkJTGMuneHOhiNNTGYyAlu0j9tgh2I1oMEaRAnUiZOyRp1lqwCk36BbHe7HXfbt9Ln4vNvn6xco+4OHNGw6C3nv8meMjcedCm3DUsD02axaREDheiNOjwX5QZEWTM+IaKiEWCTak4du/qQeKBLmkjqrIWF5AsWljugFnpgd2jR99PL6440Li3//7f/8+HMaDh9126PZrU95twrs18TZZ2Gzwx68v8srVTU5N5Tk7PUjVdHju+AjFps0Pr25gOj5X1+vMjmZJaApJXSFjaGiK3BVOvl/8wEVpmqRwuCbNYkrp+/QtO9EbHA1dpdy0qVoO85sNTk3kySV1hnJJMoZG0/ax3ABdVXhyD9v53iJth5G4G/ptjPvjUR/n23VJOovFC/O3WIm9SX4vOq6sV1brfO/dNV44PcFwLsH0UAYJibeXK0wPpskktG4h7crNGq8vFDHdkOFsAlmCVE5lqdRkOJcibWi4nk/d8Vkqt9hsOIzmEjw1O8QzJ0b4xhvLrNcsqi2HbEpnZijbZeL6oWApnMMuOdiZGcIoww+urLO42eS5uRGenBni4nKFP7+0BsBILsn4QJLpwTRJTeXtpTKTAxmePznK1GAa0w0YzBis0OL6ep23l6uA4MMnx/iZp6YBeOmdVYayCZ46OsRKpdUtrGZTGqcm8wCM5ZNYns/Ts8NMDab5xhvLVEyHkxN5DE3h008fYaXSQtolqvXH56OFhzWebJ/ze+d7oCt70BmLHWbzzXKLiYH0DkZzpyNhYaNBqWEjQoEbhtQtFyEiWnaA5focHc4SRgJJllivWayUW7he1C2QQWyuEHo7PZ3fryKiLjzOicsYeNgYXJRO4d9rEZHdCySi59+LK/Uttcao5wWRgHdXqjhBSEJVcEeyVFo2QQSm41NI6dwst1ivxXIpV9fqTAykUCSJoXxqh+7rdi3Xj8yNUWo6W8xVeovE+8Ww/mZJjMOKDQ+KEdNBsH3dsFGz8IOIbEInnVBYLDYxdxnI4R3SjDcZZdTwSY9MIeuDjBd2GhJ2sFeB8P3YhO93JPQBD2/ecBD03uNHRzJUTYelYhMB1FoONysWLceneRe6JYOiyilxAxlBgzTvSnME0sHLPRIwWkjw1MwwG3WLY6O5bmvz4z5f9bETd1xIVBSFtbU1Rke3VqTL5TKjo6OE4fuUxb4H2G1xu9+E13n90ZEM19frvLFQYrlsUjFdHD/qLjCeOzHC0maLatPF9UNcPySpqwSRwAkCsikNRYEgoMts6uBe2pcM4eJK8c66Kxm8ydn73sosE7O8kASWF6IrMpEAVYnZFa4fIYcS2QScmirw6adnuu6Xc5N5qi2X6aH0njsivdfo40zc19/yKONRH+e7OQ3v9th29I737727xltLFSAW8n/1ejF2JBZwfb3edXeOBLyzUqHYiNuZq6aHrkp47X69VrGFrkh4PasECdioW1heiCTB/Gaju6A2PYe66WF5ASO5BG8tV6i1XILwONQlOm3T88UmgYiYHbV5fb5Iq70wsYrxwrkbSyRYLps02y3VUSS6BZDX54tdvaWXr23w/Kmx+L+vbNKwPa6t16lbXrfVeyibYCAd61O9ej3WWh1IJ7i8WuO1G0WQwA+iPYssfTyaeFjjyW5aeK9c3+Tyaq2rXwi37t9OQamzgVC3POYmcuRTxpYFeBgJNhsODadISteomA6KLCMDKUNldCDJYDbBy1c3uFk2cb22P2tvi6/UbmF+ANyaZRFyTlwm0S0iPoEv6Yfy2Yq0s4Cy/Sdv/1uW4OhQhlAIyi0HSQJZic1WCukkVdNmMGPw6vVNHD9iLJdgs+HgeD7fvriKAJ45MdIVv+8UfT799MyWv7/4sRNbvncvrcTd0N8sifGwxoZ7QW8eAbGTe6xdHLJcdjAdH02VIYwIo61tyxJQSGsMZ5NcX2/sz1SSJOaVo+RtA8130VR5z3vuoAXC9+K+7RfZ+4BHOzb03uNjhRQSEt95ZxXHC/GCENsLiYRAV2W8O9A1GxObHBdLSECFAlek40SSfKD3SkAuoSErMJhO8qGToxia0mcG97Ev7riQKPbIWl3XRdcPJ3F8EHFQ2v9uGCuk+MJzs2iqjOOGnJrKM15IU6xb2F5I3fL42OlxABRFwvZCbqzVUTWFxc0GiiRhqCpuEGukZQyFUIBAYO/CSLgthGCSDWbETS5zgqpUiB+/xyKiTCx8vhcjQiJOiGRZIogEmiKRTWqEESAiCmmDhK5wbCzHE5MFzs8OAbfOreuHvL1coW55bNSsXQNbvyXicPCoj/PdnIZ3e2w7esf7C6fjQvULpyc4OpLhuRMjTBRSOEHI9GC66+5sewG5hLaDkajI0q6MxFhzUO0yEhOaiuOFrLddoTuMxBm1Qkpuoh8bZ3GzScP2SOoKDdun5fhMFtI8NzfSNjdRdjASHS8kqak4QcDkQIYnpgpdRmKnpVuR2MJI7DJxTo12XSa3MxI7r3nuxEjXnCBtqBTrNgLB8yfHum2fvW3jfTy6eBDjyWbN4t0NZ8+5Yre55OhIhsurNTaqFqbjbykSbtQsTDfoym386Ooma1WLlKGyUbcpNZzu52iqhKrITA2madgethugyDKjuQSFjMHCZpNK06VuugTtQgKwxbUxbLfx9sqDvF+IJIV1RpgQm1yUTuEdUhER2mnJAZKcXi1FCUglVD4wM8SF+SKKDK4fMZAyODVR4GbVxHR8GpaHLMvk0gabTYf1uo2mKORTGuWm070HejeL99s83r447OP2uJ+x4f0wYtoPvbrpHYPANxZKXF2rU0gbGJpCZaWKH8TsY0OV4381lWrLQ0BbnkQlm9y5fJOAIVEhJ5rckGaIJAnXD2nJAUeyaZ45NnzPuq/vBR6kY+nj/cODmDccFjr3+EbN4kdXN6lbMYu9brmEkSBtaBwfz+H4ISvlFqWGe9tpUBces2IZCVhnmBvS0QOv6xWJWH9dEqR0jbrl8r131/iFnzrdH4t97IsDFxL/+T//5wBIksRv/dZvkcncWvh1BI0fds2C/bBYbPHqtZiJsF2X73boLDD++idOdT+rajo4fkSl5fLWUhkJiUjELoJX1+q4QbRrRS4CGvfQuySJiGNimfG2M3NONG8VEu8REfu3VQnAi8Cz/e5jju8iExdVZMVjOJ+jkDa2GKh0/v2DH85zcbnCYNrYYc7QQb8l4t7wuIzzTjtzZxI/OpLZ9bHtJj4dYfxSw8HQFL7w3CwrlRbffWcNgWByKMX0YIabFZPVSovvv7vG7GiW42M5PjtwlPWqxY3NJqoC+aTBC6cnODM9wNd+cI2LpSaFlMHYQJKkrjI5kOadpSqXVqsYqsLTs8P85Q8fYziX4L98+0csv/lDAMqFD1CKsggBXhDyiXOTfPDYSHdR+0evLbFZt/j8s0f58NxYt1D43966yavzmyhIhFGcwGiKQs1yODUxwMmJPLl0bDZQt1y8MKLUcBjOJTg6kmO8EPKHr8yzWrWYG89zdCRLsWkzPRify089vVWY/Rf/0vkt5xLoijYfxNCqj4cPD3I8WSqbLNditu1B55Kxti5vp3316Eiuy47vMOc7r+uMv9duFLm6WgduGTnFiwJBNqGDJDGQ9smlNGZGcgRByOsLJcJIkEnqaIqMokDd9PC9rSXD97uA2Is1aZwNRoikw9Wi24+MkdRkVFnG0GRsP0AJImRZJggjVsomH5gZ4m+8+AQXbhT54dUNrm3UyaZ1ZCnOt/xQEPkBuqqjqwoJTWF2JMtAxiAUYksb+/Z/04a6Y57oF0AOjgc5NtwL9pvDOjFlYiCFQLBYbLBUMik3HNYqJrbnU2l63XEtAWlDpt4uIgLYfoRdtVmr2ju+OysanBTzyAhMUmwwEssihSEj2QTDucR7miP35/M+7gaPU2x4c6HMq9eLnJrI88yxEb5/eY2G5XdbnJfLJkEgDkQY8iSdqxwnhc0KEwcuInb4ilEErhcymkuRNBRURe7m6v1x3MdeOHAh8dd+7deAeIfgN37jN7YIF+u6zuzsLL/xG79x+Ef4gKDLRGhr4HSKibeblLdr5gB8551Vyk2HTEJldiRLuelQbDpUmk67Ven+9CopIuCUuNF1Zl6QjrDGey+a2gltnV8ZOzBKnBzLoSoyP7q6QUKT+eLHTnYDb9WMEy0JiXxap2o6XFyqdDUbehkjvf/2cWe4H+P813/91/n1X/91FhYWADh37hy//Mu/zGc/+9k93/O1r32Nv/f3/h4LCwvMzc3xf/wf/wef+9zn7vwH3Qa7jd/9HpNlqdv629sCXG7Gxj4dB+dOW3DLCSg1na7xz0bdom55iEiQNFQqpovth7wxX8b2IxpOLGqsqTKLxSabdbvtruxjeSWOjmYZ1WyWfvxdJKCqjHC5roN0K75899IaCe1WaP/BlXU2GzblpoumKt3jfvnaRrfdeqNuk2wXSf0wotx02ahbXF9vYHsBbhCiqwoj+SRPTBa6hkaXVqr4EZhOidWqiYAdBgW3O5e3O/d9PLx4kPOGmaE0mYy851yx11zSKSb2Fpl2e32nqJQ2VDIJbYuRUy6lUbNcblZMbC9AU2VURWlLmwRISCR0hY89McaJsTzffXcNy6mhKxFCQFLXYnkQO4jNRw775BwAqgg4KpZZkI4QtvWXDruIuB80GY6N5RjLJ0knNL7/7hqyJDMznMV2fVpugBOEPD83StpQWauaOH7MCD8xluP6Rp1XrhZpOB6qKjHevlZ/8bnZrpN2J7fYjbm1vXDcx53hQY4N94KDMFYXiw1evrKJF8TtizcrZmy6tq1oLoCWe7DtgpSwOC2uIyMoU2CDON6EAlpuyNvL1V0L47fDvRQD+/N5H3eDxyk21C2XtaqFEIK1qsVmwwYkWo7PZsO57WfKIkTHx5FiSaGKNECFOzNLFUA+pZNNqIQi7oB48exkd0O0P4772A8HLiTOz88D8JM/+ZP8wR/8AQMD742r74OCXiZC0/JYLLa2sA72EzDerpkThlEsrpyJmT2yEvfuRGFEy/UZSOttBhAgtrIODtjlswOGcDkjrpLCIUTminT80JiIe36nEh+732YpqjKkExonxnJMDaT53uV1LNdHUSTyKYMTEwVMx2ex1KLcjAscvTu4P3Fmgs6+zHrVZrPu7ChE9BkB94b7Mc6np6f51V/9Vebm5hBC8O/+3b/jZ3/2Z3n99dc5d+7cjtd///vf56/+1b/Kr/zKr/AX/+Jf5Hd+53f4uZ/7OS5cuHDooum7jd/9HksbapfR19sC3LT8LQ7OY/kkigwLm80uI1FC2sFIfGKqwJnpAa6v17i4VN3BSFwqNruMxLmJAicHZL7zR3+MJCKU3BjjRz+EvdmiaXsIEWuDffzMRLdtCuCjp8a5slZlbqLAM8eGu8ddb7ldRuJQLkkuqe1gJObTBkEYUbdcUnpcDBnOxQnL8bEc5aazhZHoBMEOg4Lbncvbnfs+Hl48yHnDaCHFyVxuz+d7W4+++cYyAsHTs/G9vd0oofN3x5X5G28sdU1Yes2cNmoWL72zShQJxvJJxgopFjYaDGQNckmDQtrAdDzKORddkckldd5equB6AUlNwQvCdpxRGc2nqJse+ZRO0/Fp2V7c6RDEeUJSk/ADgX8fqoyKCDgrrpDBQhMB70pz3ecO0mrdy5NQ2n/IMnHOQ5yYphMqXhQSBIJMQiUIQVYk8kkNkJgaShOGgpWySSFj8MITE6iqzLkjg/zZj1f48WKZV69u8mtewM2KydxEnpShcXZ6gOFcgrrlMpxNYGjxeyIhSKixy3bnWu6HtKEiy1KXpd7HneFBjg33gt45rDc2lBoOL11aZSSbBCTSCZWpVIqFzRYRgii6NXZ0BYIw/u+DjCdDuJwVV1EJqZPhinQcJAkZSOoynheRb8uO3GmOfC9FhP583sfd4FGNDbvNGbmUjq7JrNcs1msWni9QlVsyHftBFT5nxDUMPN7idNfz4KBQZdAUmZFsgr/0/DEMTeF7765RabnULI8vfGh2y+v747iP3XDHGdB/+2//7X4cxwOJjZrFGwslGpZHPhW32z5zbJgL86VuIOhl0vT+3cFumjlfeG6W4Ic34sHacjg1VWBmKMP33l1nOJcgm9BZKrcIwpBQCIp1myASZA0dP4xounE71n4JRq9ekCZ8PiAuoRPgoXFJOnkozswyt8xfVCU+GK/9nYMpjY+dngAJfnhlnWrTI6WrfOL0BF984QSlhsNGw2K5ZJJP6RwdyXYLEJYbUGrYfO371zg7Pdgtimxpf0zHbaY3KyZV09lTM7GPu8NhjvMvfOELW/7+h//wH/Lrv/7rvPzyy7sWEv/ZP/tnfOYzn+Hv/t2/C8D/9r/9b3zrW9/iX/yLf3Hou5C7JdUHfayD3YxZ4tbeIwc+jnMzz9/2NY1Gg69+9au4rsP09DRf+tKX0LTbu6L+wk/v3gKyl6FMLz5+dnfDoq6h0R7P977uTs5lfyPg0cTDnDcsFlsxI7A97w6kE/tq5i0WWztMWHo/6+Urm6zXLMYLKVw/jBlDTsBoLoWmyjSdAK9tuvbnl9bZrNsIEeEHEZ3O5tWKTdMJiCKBqkh8+ukj/OfXFnHiDmoEYN2PCiJxEfFcu4joobIoTW95/qDt1p2j6y6YemRRAqDe41ZZswIKaY0gFDRsn1MTeRqWz/X1Gm4g0FWJgXNTjA2k+NMfL/PjpTKmF2H5FuWWQ4SgYXmcb+dvCU3m5SubWI5PKqkRiVgXSpYl1qs2b1KmkN6fhWW68fk33Tt31ezjFh7m2AA7ndx7Nxl6WauXV2tcuFFCliQG0gaj+QSffnqGSsvlt//sEjXLByIiAX5bDFWCLcz93aCKgDPiKjo+JknelU4iyzKhiDsbZVlmIKfz4rmpu5pb76UY2J/P+7gXPOyxYTt2mzOenh2mYXksl1okdJX1qomuymzWbLx9JtNecpCPgoaPy8ELiaoE4/kk6YTOx89OoGsyf35prbux1ksI6I/jPvbDHRcS/8pf+Ss8//zz/NIv/dKWx//xP/7HvPLKK3zta187tIN7v9FZEJSbDkPZBIV0PEijKG5F6LBp3lgo8dr1Es+eGObTT89s+YzeAdibcAznkly6WcMPBRMDaV66tMpSsQVSvEPgh1G7SicRRgI/hIrlbfns/RL23t0MH5UKA2RpcUmaOzQh9M73C24xCTqQFZmq5bJesag2PQLA9gLymfgcvnRplZtlE8cPyAqNkXyS4VyCsUKKC/MlXnqnStXcqkHVQe85Nd2ASytV3qC0Q2/tXvE467vcr3EehiFf+9rXME2Tj370o7u+5gc/+AG/+Iu/uOWxT3/603z961/f83Nd18V13e7fjUZj19ftdk33u84bNYvvvrNGsWnziTOTO4pvF5cq/HGbffTpduHwu5fWGMoanJ0exHQDXD9kodjkmWPDVFouf/LjZWQkbD9gIGPQdHzCUPCxJ8YxNGUL8+nNhXLcCh2GLLzyX7GbDZREFnP4PL/1Z1eQJbi4VGVuIs9PfWCq+30XlyvdY1iptJCQmBpMc2mlylKpxUDaYHIotYVh1cuyvFkxWSmb3NioU2w4pA2Nv/zhY5yazN/1mLi4VOHCfIlnjg1vOY8bNav7O/MpfYs+ah+PBh7mvOHoSIaBlEGt5dK0/O6Y2U07b6NmUTNd5iby5FN6V0evd2x95NQoV27WQYKMoTGUNdoFMo8PHB1iNJ9gvJCkZnrc2GjgRyEiYguNTwC26xOEcGWtweW1i+/JuVBEyFlxlQwWPirvSE9gS8k7/pw7LXEKoGrG2soS8NZSGVmSCSKBIkNKV5GAl69uUGk6qLKMRIQigSLLREFAJqHiegFXqxaFtE46oaIpMpomk1BjpsjsSBZDU6iazg4WVq9Obuda9jK/+7g7PMyxAXY6MO+mk9oxHGs5cTfTRs3CDyNuVkxuls02C1Eil0ywXrO25O/BPkVEhOAJcY0UDi46l6Q5QklFl0EWcRFSRuLEaJaz0wNbYtFB5/B+EaGP9wsPe2zYjt2K8nGcyLHZcJgopDg+liUMBN95ZxXP2X2TKiUszrY3D1x03pHm7mgeViRQFYmkoTI+kCKfimsCphuApPHM8ZEDEQ366APuopD40ksv8ff//t/f8fhnP/tZ/sk/+SeHcUwPDI6OZHj2xHCXkdg7+HsTTamd4UvsL2zam3AMZQ0GMwazoxmKTZuq6RFEEWEIbqdEJ8WtivIetoWKFOuf7AohkBAISQZJ4gYzyETvmYZRGMYMgHLLRVIgKUucmhzgmWPDLBZbrFUsDE1hLJ9iOJ+gYd9qF3/m2DCm4zOUNW6bpHeer5nuoWs4PM66EIc9zt966y0++tGP4jgOmUyG//gf/yNnz57d9bXr6+uMjY1teWxsbIz19fU9P/9XfuVX+Af/4B/c9jgOqonY+/ofXNmgYXtbtP86uDBf4sJ8CQSM5OOJ/LUbRXJJHcePiCLBWtXsaiTeLLe4uFIlCGK3dV2V8YMIpFibcDATtw0PpON/X71epNxyQEAhMw2Ow0r6LK2FGkmthe0H1C2PiulQyBjd77u+0egew3IpZktv1G3emC+xXrNIGyqzo7nu92zXf1wutVjYbLBZt3H8CE2V+N67axiactdj4sJ8iddvxEyt3vO4WGx1f+dQJrGDxdXHw4+HOW8YK6Q4NzOA44dkU9qemnlA16n5zPQAz8+NdhlJnbF1ZnqAL37sJD+6usmf/HiFhuPzwukJNuo2TcvD0JQuy/dHVzeJhECWJDbqNl4QoMngBBGyBKoix0zF98hxRRYhZ8RVspj4KFyUTmHdRRERdkq0dLobBKAQM6n2au2SgISuMTmQBiIiJJ6YLPCJMxO8s1Kl1HQIg4gfL5UJBTQsF0mWaTkBKUPD8SNmhrP8xEi2W1Spmg7rVRtDU7rt6YvprRqY27VdO9e4j3vDwxwbYH/5jt7YEMeRQS4uVfjupTXqpsd/eXWRYsvGtAOyKY2ErhLeyXiWJG4yTkIs8U4PScALYTyXIG1o+FHEcDbJzYrJWtXaVZu4jz4eRDzssWE7tucOvZtTsgRXVmtoqkxCU2jtwXTPiQanxXVUQkySByYHbZlzpdjIZqKQ5meemt4SuwSivznWxx3hjguJrVZrV9t1TdP2ZAE9bOhlKPUyDHsZNUdHhruJpuuHyBIkdXXH+4HuDuT3Lq+RTegcH4t1mcYLSRwvNjE4OpJFkaBueciSjB+GhFGsuabKEpYb4Hjx9wjo/ku4pSMI6DgzL5HA4xInu8XEiHsvIva2UyuAJMfaRqokExIhCUgndJ4+OsxwPkFSU/GjiGOjWaotlxsbDQxN4dhojonBNE8eGcTyfCSk7vnarim13RmxF706VoX07QuPd4LHWd/lsMf5E088wRtvvEG9Xuf3f//3+Zt/82/yne98Z89i4p3iK1/5yhYWY6PR4MiRna3FB9VE7H3uo6fGKDbtLVT/Dp45Nsxm3UJC6j7fKYJ3GInHx3JdRuLsSBbbC27LSOwcy3MnRqhbHhKQTU2jyx/i8lqTIIhQVHkLI7Gjf3h8LHY+7xzDaD7RZSQmNWULI7H3N/cybcbyScYLqS2MxBdOT9zTmOicn+3n8ehIpvs78z1asn08OngY8ob9mMlPzw53Ge8ddPKBDovt6Ehmi/7nN95Yomn5jA8kmR7MdFlAF5cq/PmlNYSImBhIU7c8EppMIp/g7aUy33pzGYDJgTRPHR3iw3NjfPONJVbKJhKCqhXroQ5mDEZzKa6s1Wi5cRaQSSggBG4QoSlxfHD9uNh4EK21/XBSLJCjRYDCO9IpAjUFIaR0mTCK2L7u0WTw4z0SlJ7CoNR+rtO2pckwmktSs10cN9ZyyyR1Ki0HWZLIpXSGMgYtN6DYsOPPk+GJqTxDmUSbLT6xI28YH0ixVGoRBBFVy2VqIM1QNsHxsdwO1vPFpQqbdWeLZM1eMjW7abv2cfd4GGLDQbEXe287m/Uvf/gYv/1n77LZiIvXelbBUBUGMwnMgfg+d28jktZxWm1IBV4nh6LI3QGuAOODKaotl4bt8fK1DVIJlSdnhvr3bx8PDR6l2LAbOptTZ6YHODGW553lKhISLTugQ0RWZeg0KOZFgzPiKjKCOhnelU52jc5UCaK2p0LaiKOD2WPUlNRkBrMJHC8kiARjhQQ/9+FjWzb1P/V0f2OhjzvHHRcSP/CBD/B//V//F7/8y7+85fHf+73fO7SiwPuNvRhKvYyaT52/pQu0UGyyWXdYKDb5OBPd99dMt8s0uLHZYKHYJJvQ8IOQUsul1LBp2j6FtMHJ8RxuEOsgKbLADwWRgGrL28pFvE1PkCICnhA3KLSdmXO0qLO3oPydonchEgKaJJHWVCw/xA3ioJdP6UQIbD9kaijNatXkh1c2sbzYwfb4aI6G7eEHEf/P+jzjhRSfaDtEbcdBWYH3o/3icW7pOOxxrus6J0+eBODZZ5/llVde4Z/9s3/Gb/7mb+547fj4OBsbG1se29jYYHx8fM/PNwwDw7i9PsjdaPb9dx87sefn9S5eex/bjo9zS0vwdrqCHQghyNorfOKZD5JIJLqP/+RTt39v73f0Hs9e7Qrbf/9+bQ13OyZ2O1edz+snMI82Hoa8Ya+5pqOV3LvZdXGpwm//t3dp2j43yy0mBmLN4efnRhkrpPjmG8t8840VVFniyaNDTA/G7ys1HL72/etcWqmiawp+IKhbHuWWg6HKlJoOlhchEW80np4qMJpPUrM86paL2SOatFa1kSUJTZWhXUhsOSEJVcIPY4ZzL+6VuLgsTZISNtek2Vhjub2Dae0h5CREXGSUJBkkQeDEbxCwRfvJj2CtZnePr+X4NB2/y7RsOgHZpEZCk/GCEKet/fifX10gZWioioTV/v03KyZ1ywMES6UWdcvnhdNjPD07zL/51iUuzJf44PFhBKJrhjNWSB1I7/BxzgfuJx6G2LAftrc27yad8s03V2jYHrmkTtPyeO3GZixrkEtg2j5uENGwPDZqFoosYWgqmhzR2q4Z1MaE2KBKvuvUqsqxMVMQCkzH59h4jtOTA9zYqGM5AUEoWCw2+fyzR/v3cB8PDR722LAdu8ljTAykWCw2aNoBx0ZzaIoc1w2ceM5P6xqTQ2katochJQnKq7iSQTF9imwAfhQhhCCX0IiQqJmxtEdSV0kbAk2RCSPB08eGEUJQbXkUMjqfeXqm377cx6HgjguJf+/v/T1+/ud/nuvXr/NTP/VTAPzpn/4pv/u7v/vQ6RXshb1YN72Mmt7kYTvTpvO+qunEyUNK58Wzk6Svb6KrCg3bQ2pr9wgBXhAyO5LDCyLWqhaZhIbt+mzU7TtqW9rNmbkuHV4RcTt0OaZHq5qM0WZBKLJEIWV0E5uEJnN1rU5SVxjMGrx4dpKa5XWLik3bZzgb7bk7+jizAt9P3O9xHkXRFk3DXnz0ox/lT//0T/k7f+fvdB/71re+taem4mFgO4t4N13E7YyljZrFH722xEKxwanJAk3b36GN+PZyBUNVkAAnCPnEmQmGcwkWi63u8w3Lw3IDfuapaT5+doKLSxVeurSGc/MSjeWLfOf7r/D0T/4sHzw+AtzSM3xnpcpSqclgOkEmqQIS+ZROUldZKDaZHcmyXrNYKjU5OpztFhe36xF2PrPz2/fTK4xdZ9e4vFolpWt8+ukjW85Pp+DSed9+QvR9PD54GPKGXsZZLwt+N/OUC/MlWo5PNhkzdTuMxA4EgnRCRUaiYXtcmC8RRQLL81muxGPfj0Lmiw2CUNBsF7/a9TAEsVzHazeKpBMakdiplRYKWC5bXWZSB85B7B7vAraU5A3OxX3HB0AgIPAiDlLC7H1FJLa2NQvg6mqdwWwCr+cJLwTP8tEViYXNBhfmSyyXWiyXWjQdD1WRCENo2R4Xl6q8uVimaftE14sU63a3aPipp1P9PON9xMMQG3ZDb1FgfCBJzXS7LfKwVTqlaXnIskS95fLmYommEzCQ0tFUharp4ocRUdQ7DnYvIAKMi02OiWWmWOMNniSQVBQlLii4YQAyWK6PqsokjVh/vG55NGyPNxZKO3Tc++jjQcWDGBtevV7k3DH1rnLY3eQxCmkjlvZpOqiKRLXlIssSJ8fzXNuoUzddbqzXyaUN7EjQTJ9DSCpJQ0VRIsyGQxgJgtBDliSiCOp2QNMOODczwIfnRrm61kAIePdmDT+MODU1vee6po8+7hR3XEj8whe+wNe//nX+0T/6R/z+7/8+yWSSp556ij/5kz/hxRdfvB/H+J5jLyfm7a0zS8Umf35pjZnhTJeh2GlnyqY0PD9is2YhQsFoPsH/5zNP8qOrm/zhK/MYmspzJ0aY32jEbU+Oj+uHjOQTFFI6LVujbrlIQYSIoGPAKLNFc72bbmREi9PiGjoBLhrv3qUz8+5qjLegAaItbj6SSyLLEgNpHUWR2KjZzI5mOT6WI58ySOoqby+XOXdkgOmhTLe40GkJmxhIsVxq8cLpiV2NLzrXoB/g3nsc5jj/yle+wmc/+1lmZmZoNpv8zu/8Dt/+9rf5xje+AcCXvvQlpqam+JVf+RUAvvzlL/Piiy/yT/7JP+Hzn/88v/d7v8err77Kv/7X//rQf2cH21kFu+ki7ubO+oMr61RMl7WqFTOAt2kjXl9vdNfdQkAmofHEZIFLK9Xu8zXTRUiQ1GN9tAvzJS6//SYDrasA1PQxLsyXGczGemSdROSNhbbeoa6STeogwVAmgSzBZt3hZrlFsemwXrNYrVjMjGQBdugRdj6zg/30CheLLV6+usFSsYmuKozkk1vOz/aCy35C9H08PngY8oYO46zXabVjmPDsieEtjMTezcPddvU7rdC9zAPTDVgqNknqKtm0jkS8EZfQZJSMga7KNC2fmh2bisjtCqHvRwxmExwdzvDOchnLjRjI6DRtDz/cOl/fbv6+E0giYk7MsyENU5fy7QcPVkTc8VnErVXWHjujWvu3ZpJ6V+IliG79lnza4CefnOT7765TatlEkSAM4w8eL6R48ewkZ6YHGMsnadgeLccjpWo4hKxWTfwwQldlFFkik9SYGEyxVrUR3NKK68ek9wcPYmw4SLGgty2x4+SeNmLTnk6LPGwlFnzzjRVKTRfXCwnCiLFcPF9LEOuWif3H75CocEwsAbAujRJIKqoEhqaiyjKJpIHth6QSGrMjWUbzCW5sNJnfbBCG4rY67n308SDhQYwNV27WyGSy9+SA3isvUGo4DGQMxgspFotNwsiJ5TyyBgubguPhPJ6SQkmeJJPUGUgbXFuts9mwiCIAgabEU7MSK5sQhaCpEISC5ZJJ/CoYyBgkNWWLvNBiscWr1za5vFrjU+en+/NgH3eMOy4kAnz+85/n85///I7H3377bZ588sl7Pqj3E51C1mKxydW1OnMTeY72iHL3snZeu1FkodjkxmaDXEpno27z9lKZastlIGNguyGrNZMwLPP2SpXVssWf/HiFUstFlcDxQxCCNxZLVFseEaDJEoosEYTRrmLju6XhA6LGKXEdBXFH4qu7Yb8kJpdUmRrK8OzxEX54dYO1iomqyFiujyxLsTvtZpOG7aPJcZvWZsPmxGiu21KxUbO4MF+iaXlkUzoTA2kM7ZZ2Y7/w8ODgsMb55uYmX/rSl1hbWyOfz/PUU0/xjW98g09+8pMALC0tIcu3eDUf+9jH+J3f+R3+1//1f+V/+V/+F+bm5vj6179+X2PLdkbKbrqIu7m0fvTU+J6MxONjOfJpYwsj8Zljwwzn4nakzvMdRuILp2PG4Jhc7xYRh49/gNETT+0we0obKglNuSNG4nbdxe16hLd7vvOaj8yNMZDWSenajvOzveCynyZlH48XHpa8Yfs9O1ZI7WDx7NWm38FehamjIxlyKZ265bJes7l8swpIvHB8mLmJAj+6tsFr14vUTY/hbBIvjLDcACEEz58cJZNQeWuxwlAu1muc32ziB1Gsp5zUcIOIlu3vaVQCW81MlPYGRqc1uJNfSCLiCXGDQWoURIO31fMIOS6SBGG4RQ8xYygkdYVQQEpTMHSFStPF8n3CIM4pZoezTI+keWuxzORgGscNuFm1SGgqhiYTCRjK6IzkUvhhxEKpSeBHuEGIJMHR4TReEPGTH5hiudTiyHDskA1SlxV9canCRt3mAzODFFI6544M4vghS6UWM8MZEprCxeUKL5ye2OI+D3uzMvpsjfcGD1psOEix4OhIpstCnB7McGZ6gKrpYFaDLS3yvTreDctDCMFisYXnB5RNl6SuoSkhSPHC3w+jXfURc6LJnJhHAtYZYZUJJGIGryJJDGUTbTkDibSudo2bNmoWby6UEYhuB0IffTwseNBiw6mpwl3nsLvlBYvFFild5cx0zB7s+DAsblbZfPsyalSGqMLJY88QKEnOTA+gKTLFd2xUWWZ6JM3Tx4YBgRdEZJMay6WYKd10Ao4Mpzk6ktvTrf3oSIbLq7Uthqd99HEnuKtCYi+azSa/+7u/y2/91m/x2muvEYZ7U/IfBnQKWZYXJwKlpoPlBlucziDesay2PBJt4xBB3J6U1FRIQ0JT8fwQEQkiIXD9gMViA9ON2QaSBJbnt01Uop4CnkCSIaEoXQH128FFByQq5LgiHb9nZ+ZeB8VehEFEFEVtgwmbhukRighDVQCJquviBYIwipMh0/Hxwoia5XYD1GKx1W337phD3M74ol94eP9xL+P8q1/96r7Pf/vb397x2Be/+EW++MUv3ulh7oqDLhJ7n9tNF7H3NZ33fu7Zme4ioZOsQ1vWwPI4MZZjajDNSqXF1Zt1/sNLVzg1UeBzz8aFiatrdaqmy2DK4JVrm1yfn2f59T8D4MyTT/GJn/oU//XCMq9dL/H6fIlcSmd6MM2PF8uUmy7HR7NMDqWYHsy09cFc6paHH4S8dHEVJwgZSBucmR4A4vh2fnaIUsPhwnyJUsOh0nL5L68tkklovHhukoblUWranG2/52vfv0a56XLuyCCGpvCJsxN8sX1+OmZIaUNlpdLa0ta81/nbzUCpv2B/vPAg5w23M0zolTbY657droXk+mHXcCmpq/y3t2+yVjGpWi6qLOMFsenYasWi5QQEAipNB4FEyw1wvIBvvbmM5YZUTZdqy8XQFGwvJCKes2uRhxveno8YQndyD9vSKls2KIVgTswzSI0IicvScaywrfi+DRJgeSGWGyKAhgyaIuP4cU6jApoqsdmyKbUcHD+kYfloikwQCWzPRwiFIGoXNL2AK2s1nHbupKoymiKzXDFZr9uxWcpojrmJAn/tE6e2HMtLl1a5cKPE5ECK42N5xgqpHa7KX/jQ7Jbr3IlFby9VuLhS4SNzY1tiW0fbrvP63a5tP2YdLh6E2HCQYsFYIUUhHa8XBtIJnp8b3WHa04tSw6HUdJGk2DwxAmQvZKxgYDrg+mFb8mDnd6WExWlxDRlBmQI3pBlURUIGgigempt1G8cPSRkKkiRxcalCzXQ5PzvEp57eaTzXRx8PGx6E2PDciRFyubuL97vlDL1r3o6zu2mafOe//AmqUwZZwRz6AO9uujw1Gxu6pY0j2F5AuelwbDRHNqmRT+ndtcZILsnUYHrL/LRRszCLLUoNZ8e651Pnp7dsrPXRx53grguJL730Er/1W7/FH/zBHzA5OcnP//zP8y//5b88zGN7X7Cdetz770qlRc10mRpM89yJEeYm8t3B+8OrG2zWbeYm8zRsnyCM0FSZTEIjoSvkkwYb9Vj/EHxShobvR6R1jXwCGraPH0QkdZVQROSSOpmEwPZCCmmNhu3TNH2SCZWZ4bho0LB8IsCSUrzFaSySIMXNC2lDQZElGnbQLQhKgKHG7VR2u1faUCGhadheXODUFYVzM4O0nIClYoNmu5g5mNYQAobSMZvqyZkBdEVitWpRSBmsVlroqsKRoTTnjw1zdbUOCNwgZG6i0HWrfO3GJmO5JB8/O7FvsaH377tBvzBxOHgUxvleJgoHNfI5yGcuFlu8er0IxG3Fy6UW5abDUDbBRt1mudTinZUKLcen3HS6bKaXr6yz2bDRFJmM5HDUehspCkkOTTHz5EdZKpn84Mo6G3UbXZEppA2ur9dZLDZx/JDNhkXD8bd8JxI0LS/WXgoi0olYJ6nTUg1webXWNY66WW5x6WYVXZVRFYliw+m2dT8xWeDlK5s0bI+a6XZNJXrlHzqt1sulWAqitx16t3N80Mf6ePTwMMeT3cb8Xvfsdi2ktarJZt0Bbo23KIxQFZl0QmMoayARt0SO5AxqpsfcRB43ECwWG8gSKEpsrCKJuADo9hQABYAkoSuCMIqfPyi2SC+2i4jDVImQuCafpE5+z/eK+C1dBBEE0a1KSAAEgcALAtR225XpxvmPLAkURWEkn0KRJNIpjWLdJggFMgJd18in4xbNfEqn3HRRZInsHs7uI9kkuaTO7EiOM9MDB1oUda7TYrFJw/QoNZ0tzzWteNOz97O2X1vox6zDwIMUGw5aLNi+8b2fac+F+RIXrhdZr1vdcasqMglVoRI4eGGELMtoxEX4oP2ijva5SkidDFek4yBJCAHplMZoPkk+qXN9o4EawkA6lkl4e6XCWs3aIU/SRx8PGx6k2HAv2J4zxHroq4xkk90YUqlU+A//4T9QrVZJJJNsZM7xbgW0eoWpoVvr2ZmRLA3b462lMu+sVFEViXRCxXRCChmdLzw7y9GRTFeibb95qy/t0ce94I4Kievr6/yf/+f/yVe/+lUajQb//X//3+O6Ll//+tcfSgel3bDfgDLdgEsrVQppY8sO34+ubnJxuUrD9kjoCpGAcssBAUPZBD/z1DSXV2u8uVTGDeKd+6bjEYSCjKRybmaEd1YqlJsuDSdAlsDzbQoZg3xa5/hYjtduFAkAxwt46kiedPENLokhmlKse2ZJt45ZkUFuJxpyD5FAAE4AqixQJJAlEEhYbZakAJIJlbnJQixaXm4C8etsL269uFk1u8LxMdMioti0Wa1ZeEGs5TQ3UYgXAz2CsmOFFN98c4Wrqw0yx/X7HrT6hYm7x6M2zvcS0r8Xgf3dWnefOzGCQDA9mGE0n6BheeRTBlODaUbzCXIJjZtVk1MTt9gOHzk1zpW1GoMpAykw8eZ18rkRnv0Ln+PYWGyU9NFT41xerTGQMXZlJM5N5ZkezDCWT1K3XECiaXusVawuI7G3pTre0YxD/zPHhpkdyVIzPTKJ2Dhio2Z127qHcwk+cmp0CyNxN7Zw2lAZzSe2tDXvdY4P+lgfjwYelXiyV7v+bvds2lCxvICEqjA1lGYwY2B7Rfwg4shwhuvrDWRZYmIghesFrNdig4afODNBUld55domVdPB9jwGMwnmxvOM5JOsVk0ySZVKw8X2fGRZJhJtHeVQIMuxs7EsyWiqjOn4pHSNgYzOaCFFEERculnFbtOe0rqMIsv4UUgYRBwNFhihgkBiSZ+jRZ60LOF4UVePWQGGcgaqLKGpCnXLw/EDklrc+lwzPSRAU2PnSMv1CULBYCaBJEsYqsLxsSyzo1lSusqnnz7SNaC6ulbjzy+t4XoxK/NDJ0f54LGRfTWTO5uGY4UUU4NpquYtRthuzOdeI62Opt1zJ0aoTeT3lLLY3grWucbbOyr6uDM87LFh+3phv5jwzLFhLq/WaNoeshQiSxCEEUvlJkLEG/2qIpHPJLC8kFbbuTxExkMnRGEl8QRZWcOPwm6OH0Xw/NwYo/kk19YaPH9qlJFccos8SX9jvY+HDQ97bNgN2+PDhfkSF26UyCV1ZkayhFaN3/md38E0TQqFAk/9xGf5wzeLGGqDlBFvOMKtTa6kpkDaQJLj+kSt5aOpEpMD6W4RsbMO7s9bfdwvHLiQ+IUvfIGXXnqJz3/+8/zTf/pP+cxnPoOiKPzGb/zG/Ty+9xXbJ9/tQaC3xaWz2J4aTHN1rc5Au4AA8NqNIrmkhqEpCAGKLKFKEpIUuxxfvlmhYblEIhYdj9oi45btkzN0Wq6PrsQacnLocuUHf4QR2czR4HWeREjxc5ocF/10TcH1A/xwd03FMAJdkVBkCIVAVmQUScIPQnRZ5q3FEg3TR5UldCXeNVVlGVmWcf2QH17d4PREgdF8El1V0BWZhKYQhoIXTk/sGbCeOTZMy4mD30bN2rMd7DCSnX5h4u7wKI7zvTYH7mUXbjfm7KeevvX3dv20czODfPrpnZ/z//7p01v+bjSeQtM0kslk97Ff2PYa2Nqit9d37nXcnX97X99xdN4NX/zYyX0/r9eMar/n7/SxPh5+PEzx5Hbzz15s+ZfeWaXcdPl4jyN7rd1+DLfGhaEpLGw2SBkqg1kDyw24WTapmA43axanJwd49sQwC2195rWqSRBGqKrM5GAKq+hz/f/f3p1Hx1XdCR7/vtpXlfbNWrxvwjZgMNhm7bA5xG3S6RBWG5JmehKzhZM0MedkJcQw3TMJ03OOGroBO2ATCMSYEIgDaWy2AMbGxvsuyZZkraXa93rzR7mKklRaLVnb73MOx1TVq1e3SvV+dd999/5+TR5ybAYsJh3eUIRINJZYeeCPdKnzGkuUNQZcwQiReBRvKEJchXD0y15BIBwnfqaXUKS2UkAbKnBImUp7NItMSU5igEmvxajX0X7mPSooBCNRojGVmJpYal3oMOOwGthT60QlMVNbp1WIxlR8gQgVRXZ8gQivfXKCmZMcXDG3FIBPDjdz0u1F0WjYcawlVa06+Vt+uMHFX3afShW62V3TxmfHWjDpNRys7yAci1PgsDCrNJvtxzonkU8UyGrqNOM6HldTy6BrW7zsq2tP9Vu6Lo3O9D0QgzMWYkN6ypLzJ+f3+XfvWqjxnS9O8d9fnKK8wE5lvp26Fg/BaIw8mwmnN5ga0E/nO5MmICmq6NnHTLTEiIQVNCSWRSuoqMRx+SMY9tZzwdQCQlEnn59o5e6rZ3eb7CAX1sVYMRZiw2B0/e1InhMnZySeOnYAn89HcXEx133t6+yo9ZBvN2E168m1JvKvQ+aVk6favbj9YRQU7BZ9p+0ypW8SYqj0eyDxrbfe4v777+e73/0uM2bMGM42jQrJ/Dge/5f5cboeiOlV266YW3qmSIubI40dhCIxSnOtNLv8nGj2oFUUGp2+VNVC3ZlZg55AhI606oSRtLVK0UicYy0ejrckZgamKjOricrMh5TpqUHE9OeG+sgboUIil9KZzRTiqVpubd4A7f4QoXBiZ3qdBkWBSDyOXgGXP4orkMgNObUwi3A0hvFMtdkcq6lTwNpX186hho7U7ABfKMq0IgeNzi9nEKTrbRbhQAcZJWgOzkQ7zkdaJBLh9OnTlJcnOv1ZWVkj3CIhhs5YiieDmcVe2+JNLf23plVkL84xp2YoJzvzC6flc7zJgy8YwazX4Q9FE7mYVci3JbaHRFqCbKuecNSMTquQa0ss1z3Y4ERVE7MOK/JsRGOJJdPBuNqtXHPX6s2BsIpBl6gar9NoaHEHu+VAbiKfLDy0K9m0Kzmp+/UauuVta2j3YzXrUVWV2JkCEfH4lxcuNRro8IUJhhMrLGJqIi90PJbIIusNRmh1BXAHwsTiKu2+EJUFWVQW2JhcaEtdWC1wJJYrp8+uSF8mXlWRm8pLCwo5ViMmgy41m/pQQwce/5dJ5BMFsoo6zbgGOu1fliyfG2MhNtS2ePngQCO+MznTuxZdSkrvn6bHkW37Gqh3BmhyBTjU0EHgzPFekW8jGInij4S77UsFUFWycdNxplp6XNESJ5H7vFM6gzP/Or0hsi0G4qqK0xtm54nWThf25MK6GEvGQmwYCl2LthUtXIhOp2P27NnsrnNxuNFFuz8EKnQoCjtPtKZ+swDys0xUdbmQn7xoUGv1smhGofyGiWHX74HEDz74gGeeeYaFCxcyZ84c7rzzTm655ZbhbNuISi8K0tOPb/qPc7LzEAgnEqv7w1FqWzzYzXrsZj0dvhDpJVV0GoVcm4lAJEogHCV4Jmdh1xMAztzOV9uZrp5Ag4pfsXBYMz1RmTnTlMMMNPS8qRawmPSEYzHsZv2Z5RIRUFXsZj2luRZ0Gg3ZFmNiFkQsxtJZJXT4w/jCUbLMBhSUbidhO0+0pvKwpZ9g9ZS/qLfOjixVPjcm2nHeVVOHn101rXj8EewWfadZCOkzkE+1e3vcZldNa6eiI5nuA9hT08obm/9A2NXEtcu+xrQZs7oVc9hd04bLHzqzpNmWKmiSTKTc1OFn38l2yvNtxFWYXGBPLT/uazC+63tN7j/T+8r0/Eyf3VDMKJZlWOPHWIknTR1+nL4gJTmWTr8/fX0XKwtsqdUIiRQBISzGxAl/+vFf2+KlLNeGcmYekcWg59OjzWRbg5j0OmaWOlKJ0gsdZswGHRUFMa6YU0JVRS5NHX4m5Vk51NDBoXonx5vcFDvMxFUVfyhKrt1AIBilyR3AqNcxtyyHDm+QU20+FEUhy2LAqNMQjsWZV56LqqjsqWsnEIwkiqJotIRjUWrj09DrIEvR4gtGsRh1OKwG2r1B/GcuLipAcY6FWSXZtHoCOH1h4qpKizuATqOg1WqwGfWYDToWTMnDG4xyusNH4EzRGU8wQrHDjEajwekJkm0zEovFeO6/D/DVCyu5/YqZXDanc6Gav+w+xeQCO3PKcphalJUqXANQlmuj2RUk22KgwGFOzVQEuiWRL8q28I9LpqX+JvnQbdahLP06N0ZzbGju8JOVlah0qigKWo2Ckrrc3l2mJYSVBTaurCrlT5/VgKKg0SjoNRqMBi16reZMkcIMVJVpai1FtFLLJOqVxGoB3ZlK60mJnOdKIs+qUce+k+3kO8yEIzEmF9g77VIurIuxZDTHhqGkqio7d+5kzpw5WCyJ43PBggXAl+mSXP5EqpAWTyB1UQzo8XxYLhqIc63fA4mXXnopl156Kb/5zW946aWXePbZZ3nooYeIx+O8/fbblJeXY7fb+97RKJfsYIYiMZyeECdbvEwusGesLtrqDrLzeAu1LW7mluUypywnMYgYigAKM0oc1Lf7mFuWQ4srSCgSx6BN5DWyGfUYDRpUBfKsRoLROIFwFP2ZJcyeYJhgKI6iqpRrmymJngRAl1VEk2YqYU8Eo16LQ6/FG4xgN+nxhsIEE+kOU10eFcix6CkvsHGqxYsrkFiyHFdVIvHEIOLMSQ5iqopOoyEaU5lSZOdkq49wNMrCqYVML3Gw/WgTTl9iJuL8yjymFmXxyZEmGtu9hMOxVCc/PR9LsjOT7PBrNAplubaMSyD7c8KW/q8YHhPlOO9JbYuXHcdaU4VScqymHguL9LTNjmOJwfNkkvNM96mqyttb3iLc0YiqaPBEND0WcEm+TrKgCkCTK0A8rrKnro1Gp5/jTW5sJgP1bd5uBVHS31vX/ae/165FYtLfV6bnZ/rshmKwXy4ajB9jJZ7Utng57Qyk8vmm39/bd7Eo25Ja+v/pkWaONyVyH/qdAWqt3k5FWdJzBkOiSqvZoKc834Y/FEvlHtZoFBo7/ACpog3J1AlNrgBNHYnqrB3+EBaDDpNeS0m2leNN7kRaFFXFpNdSmG2lMNtKeb6tU7EnjeLin66ZSzyuUrd/O1o1RkfWTOKKFqKJgg85ViMGvRZfMILbn5htGYqGiMUTfYsZJQ6umjeJlz48CkrivagkCrdoScw4zM0yccGUAhbNKOTTI82888Upaprd2M0GinOs7K1rJxCNkaMotHoT1ea37W9g+cWTO33Wz287nLogeeeViUrNl/NlKoZkgYsOf7hboYueBlAy/V1lsOXcGs2xoa7Nx/SKxHerMDsxK3bB5Lwet+9pCeHtV8zkmvll7Kpp5W8HT3O0yQ3AaZcfrUbTaR/JSQTlagNFtCbSG5GYfZRnMxBXwazX0uELEY6p2Iw6SnMTx7fFqMMTjJBl0pOVY8Wo72GQUogxYDTHhqGiqipbtmzhk08+YdeuXdx1111otdpO58Lp6QnS70/KdD6cjD9NHf5uOYKFGA4DrtpstVr59re/zbe//W0OHTrEM888w+OPP86PfvQjrr32Wl5//fXhaOc5k97pr2v10O4L8eHBxlQOsfQO6KGGjjP5Dw1UFmSlOsx5dnPqZGFPXTuQyF0YjEQJRGKYDQruYJiAK4qiKPgMWlDPLB8+c8VSq9FgMCSujudHwhCFZm0REeMsWpx+oirEwzHicZVYXEXRKBQ5rNS2+oBEhyTZTYmpKvMr82l0+tFqFYrPBJUGpw+zIXH13ReKoiiJqooGfWI5cyiayM9U0+Jhx/FWfMEIeq2Gdl+IYCTGvpNOTrb6aHIFqSi0pzr5yanVc8pyOt3XUzW7rp/rUOezEwM33o/znlQW2Fg4LT81K6+3wiI9bbNwWn6noiOZ7nv33XfxnD4OQMX8yzl/7oxur/PlFckvZyQmC5okZyTm2ow9zkjM9N66/pv+XpP7z/S+Mj2/r/0Pllw0GH9GezypLLDh9AXp8IU65e8dyHexp9zAyX0fru+god1PPK6yaEZharYBqDgsRswGHTUtHrItBrw2AwV2M1ajji276lKFmyYX2Dl/Sh51rT4UVUWr0eAORjjS6EKrSVRtzLOaOO300eYNYdBp6fAGCUXjxOIqekXB5Q/z7Nv7sPtOUBxvAsBsrKBeNRKOxInHEgOBnkAYVU30JYyqllyLEU8wgqJRiasqv//oGCea3ICK1aRP5E3UaTDqtei0WjQofHCggSONHRxucGE16KjIt2Ex6rl4eiFWk54jjR1UledyqtVLo9NPZYG9W/7k5IXI5L/peevKcm3UtrgJhKMZi0Elt+96kTJZZCWZdkWMnNEYGyryEhfjeiq401XX/mnyO9fU4WfHsWbMRj16nZY5k7IpzbFhN+tpdPpR1TjtvlCqcEp2tJHyeCMAJ5RKPJocjDqFPLuJXJuJ0lwLe2rb8YYilGSbUVHQazXk2U1MLcpK9Qvkt1OMB6MxNgyFaDTKa6+9xr59+wCYM2cOWm1i8L+nc+GecjT3RC7Ii3NFUVW160raAYvFYvzxj3/k2WefPacHttvtxuFw4HK5hiy3WPryxf/eU8+RRhfXLihLFTdIn7H43r4G2rxBsiwGQpEY2RYD+jPFR7S6xOy7+nYfBp0GfzDK3pPthCIxcmxG2n0hQqEYUTVOttmIRqvgC0YIRmKY9BpQFLz+MHq9ljklWZw+eYLGuIMihwWnL4Q3FEMBDFowG/XMLHGgKArbj7YQB4w6iEQTy5kr8qysvGoWfzt4mr0n23BYjbR6goTCMQociSSvRxtdZFsNGPVaSnOsKCicavcyqzSH/CwT7+5twBeKUJBlZsHkPIqzLXx6tAmnN0SuzcT155dTVZHbqZx9+uBr+slVT8siB5LUeiIaju/7QIzUcT4YI/1Z9ebTTz/lrbfeAuBrX/saCxcuHOEWibFuNH/fezLa+g3pF8AyFdk4G58eaealD49y2uWnONvCt5ZMT114TL4mkHHm4jtfnErNEr5mfhmLZhTy/LbDvLe/gUA4ijcYIRqNYzbqyLYYcVgN1LZ48IeiKIDZoAMlUWRFIfFvWbyeSWpiwKLBMBlbyQzqWj14AlG0msTMwjNpAtEARr2GacUOFAUanX6sRh3NrkCqWIRZr8F2Ji2K1ajDbjHg8YdRScy08oWilORYmFeR1+3zTX4G6e+7t88/ObsRSM22BFKfTabtu/5dh/NvPdpIbOi/5Gf1151HqZpSMuB+aPL8oMMXotHpZ8fxZupavChKIn3QZbNL+O71Vfxxew0b3z9MJKpiNeno8IWwRtqZqR5DAeqUUk4ppan9KiQqpZv1Wtz+MFqtBrNeSygax2rUMbkwq8fvvxA9kdjQf0P1WQWDQV566SVqamrQaDTcdNNNzJs3L/W4pAgSo8FAvu9DcjlWq9Vy0003cdNNNw3oedXV1VRXV1NTUwNAVVUVP/nJT1i2bNlQNGtQ0kf9faEoWRZDxqsCz287TE2rhyyzAW8wQk2LB4XE0kWHxUA8Di5fmJIcKxqNgjsYwGrSU1FgR6OAJxghqoujUbUoGrCZ9fhCEULRGJpogMJ4C+3xEmLAaXeIZiWHSCxOqzeIXqNBoyQ6+uEYFFsMTC/JZk9dGzqdghpX0SiaVDVGRUlUjLxq3iSiqsr+k+14/GF0Og02kx6NkshrpCga5pbnpZZXuYMRGjv86HQa8rNM5PPlicynR5rJt5u5fE5pp87LzhOtHGlwY5ua+Nz622EvyraQbfWmksRK4Bt9Bnucj0ZdlwkM9ge3vz/Wye2iHfW8fWYQ8aqrrqJs2pxOyw+SeQuTM5CSy6l6GmTP9PoD6UB0HcBvdQfZeaK1U56x9IsrvV0MOBekczR+jLZ4cjYzYXv6XiaP58P1LlRVZWphFvMr87Aadfz+o2McanBiMehTM+M0GoXJBXYC4ShOX5Cy3MSs4WQ1RqcvyPv7G6lr9qBRFHRKIu+aVq9g0mvxhyPE1TihaCJNit2sJxiJoapqYjDDoKM0XkdRLDGIeFJbTsQ6iXkFdgodJo42uEEBVyBMOBJFr9ViMeow67VYjFq0GoU8u5HibAsuf5hQJI7FoGVqcRaV+XY6AmFQoTTXii8Yod7pRVFBp9FQaDcTi6t8cKCRfXXtTMqzsmByXmp2YNfZ1E0dft7f30iLJ8AVc0pT8Sg5Uzs5I7HIYe5U1Kbr3yJ9pmgy1sqs59FtpGPD4foObDb7gH9jkrOAkrnA3YEw3kAEvU6DUacj355YqrxtfwMufwT1TJ2kLLxMVY+jAO26QhrjiYvw6TnTPf4wqkmPVqPBatAzpdCOyagjx2pkUp5FvstiQhjp2HA2PB4PGzZsoKmpCYPBwLe+9S2mTp3aaZuhWn0nq/jEuTKi6zrKysp4/PHHmTFjBqqqsn79elasWMHnn39OVVXVSDbtTGc0sWTGatR165xeOCWfFlcAFSjONqPXaojF4xRnWynKNnOy1ZtaanOooYOG9sSS4+JsMwVZZjp8IQIhHTE1To7VSJHDQiwWRxt0URk6hFaNYLSZaNSUEIrEMOm1KCoUZJkxG3WcdgYIhCPoFAVvMMLm7cexGfXYjTo0Z5IvNzr9RGMqLn+Ed/eewmLQ09DuIxZX0Shg1OmYUmBnwZR8sq1G8uxGwtE4u+vauGBKPjNLHLR4AkwusGPWa2nxBFInPD11xLsuQ+ppu3117d0GLKRzL86V9Gn/0HPi4oHsp7fnJreL1h8BYOHChVxxxRVsP9rSa97CbKsRgM+OtQD0K2/hQJY0JPMwJvd9qKEjlY8seVyOpmqmslxDDJez6Xj39L3cVdPKX3afot2TqJJc6DAztyyHnSda+fRIM+2+IMUOC/XtPppciWTqgXCUpjMVjXOsJspybbx25AT17V50Oi3t3kS+5Ug0hkZJ5DvW6zT4QxGCkTjRM1XV9Jo4GhS8gWiq0FpeqJYitT7RZqWMRoowBSIcb3aRZzMzuzwxC/LgKSeKxcDkwixMeg0H6ztodScqJQcjMdq9Ttz+CIoCOp0GnVah1RvkZIuH4hwrk/IsNLuCtLgDOH0hApEox5s91LR4aHb7UVWF6SVZZFuNOH2J3KyFDlNqFUPyM/3b4SbcgTA2kyEVj1L5Is/0ydILWGX6WyT/S17UBKSapejVzEnZA+qHflkYLUxJjiX1nbQadWRbjbS6A+ytbef4aRfv729EA1hNOhQUNBqYZIyiCau0k029bgoFJj2KVqEk20y7N4zLF0LRJFKazC3LxW7W4w5E6PAFyTInCqMBkhNNiFFs06ZNNDU1YbVauf322ykpKen0uFwoF2PRiA4kLl++vNPtxx57jOrqaj7++OMRH0isbfFypDGRGNkXiuLr0jmtqsjFF4py4JSTGSXZzCjJ7rREKRpTU4GgpsVDU4cfg16LXqelKNtClsVIJB5Ep2owG/U4bEaMNc1MDu5Dg0pWTj5XX3kZL3xUS7M7gF6jwWLSY7cYKLCb8IeiOCx6AE62+ogDgVCI8nwrdosBVMiyRHF6Q7gDYfbUtmMx6hKd+lA0kRg9HsdhM3L53JJUB/7xP+yk0ekn3+7l7+aV4QtFMeq1VBTYU7kUk59BpkDXrZx9D9ulV3ROP0GQ4CnOhUyD1oMZwO7v4Hfy8Yrzb6Spbhbz5s1DUZRuz0/mLUzOSEzen5yB05+8hQPN65a+7+SFguSFgPT9jIZqpnKxQYxGPX0vFRSsBh25xQ7C0Tg6jYadJ1rx+MNMKbQzGRuV+XZUVNyBMFkWAyoqHn/i/ysLbPxl9yl21bYSisQw6rWocVBRMel12M16inIsmHVaOvxhjp3ugGiceBxsFgOF2WbavUHCcTCpQcrUBgDqtZOoV4vRK6DXaWl1hzjZ5sOg07JwagEXTivApNMyKS9RFCUci1NsS/w2O1s8BMJRNArodRp0Gg0nmr0Ew1GisXhidQMK7kCYklwL2VYjRxpcBKNRtBoNqprIGW0+M/uwwxdKfVZdP9PFM4to8QQ6xaOkngZve/pbSOwQ/XXRtAKysvrfF02/IHfN/LJOq5pOd/j5+PBp/KEY3mCYhnYftW1eQuE4KqBV4JAuB6MyDRcO4uEYnnAMvQasBj2haAxXIIJWAy6/ntI8CzlWEy99eJSGdh8H6zvIshjIthrlIpsQo9iNN97I5s2b+frXv05OTk63x+VCuRiLRk2m6Vgsxu9//3t8Ph+LFy/OuE0oFCIUCqVuu93uYWtPeoEEq1HH/lNO/OEooUgsddWva8JujUbh8xMt7DrRht2kw2LUMrcsl0tnFJFrNaICJr0Wq1HHjJIsTK1a9FoN4WiUthN7sLTuBSBuLSRr9uU0+eLMq8jlRLMHbyCMOxghGIzQGI0RicVxWPQYdFpCkRi+UBir0YDDYgTURFEXvY6AIYoGDTajjuJcCzaTDk8ggssfxm420OENsmVXXWrJ5NLZJQTCMWxGPbUtbqxGXWqJVbIqc7r+LHvMdJWl68xFIc6lgSYu7u9+MvH5fBRkmVPbFecs6LUd159f0W0f152f+TUyvf5ABuSTs3vSb3etqj6aBvhHU1uESEqfDdzqDqZ+CxdMziPb+uUFga6/lcn7QpEYwXCUUDjG5AI7BQ4TbZ4Qre4gF07Jp67ZQ5s3MSOwyZVYGWAzGZhXkcv0EgfbjzajonL1eWVEYnH0Wk3iX50GXzDKaZcPhzkbD+dhjgfQmcrJD4Qocpgx6hN9iFNtUVRVRa9VOK88l5oWD6FIjEA4gs2kp90TwB2MkGc1Ys2zotVqWDKrmNpmD/tOtWPOMRMIx6gqy8Vs0KFVEsug25UQ/nCEbKuB8ycXABCMRrliTilF2RYm5QZpcgWYlGvt9pn+45Jpqdtd01F0+EJYjLpUgZzkZ1lZYMuYRkVihxguXS/Ipd8fi8XRKAoGrYYChwWNRkM0GkejRlFRMBr1RKIqfuXLgYXkkuZAOILHHyauglFRyLYZU0XbLp1ZyM7jLcRVpdPrykC5EKOHx+NJVZjOy8vj7rvvRlGUjNvKMSzGohEfSNyzZw+LFy8mGAxis9nYtGkTc+fOzbjt2rVr+fnPf35O2pV+Qv/pkWaONLqAxOzC5PI+oFMl4nhcZcexFho7/Jj0WrJtJioLsvjmmc5wcmlN4iQiC38ohkKcmi+2o3acBECTNxW3dSr7G9zk2cNcM7+MS2YW81/v7CcYidHsSZxMoIJBq0Gn1TJrUk4q6XibJ4gnEMYXjqKoYNLrUBSIkfj/KZMdNDp9HGtyowA1LV48wWhqyeTlc0sw6rW888Up3I0RyvNt+JyJxzN1zvuz7DHTVZauMxeFGI/8fj/PPfccRUVFfP3rX0enG/GQK4QYBpl+C7suoe3625heaKSh3Y87EKbAYQZIVDo26bnzyplUVeSmCraEozHCkRgAjR1+mlx+9pxsBxVuuKCCO6+cmSpIUu/04QkE0Gg05GWZybXl0OYJEg2EsRj1aDQaQhEVbzBKOBYnHI1T0+LFF4rS7Aqi0YDrzHLrNncIFdBpNSyaWZzKe/z8tsOYDXoumJrPrNLEyoyaFg/t3hDt3hA1zW7afSFiqkpVRW63foQvFO3Uj+rr801qdPrRaBT8Tn8qBYTM5hDnStf0PD1d7JtWnIVBp6U838bcshxOtXtxHNASOPohCir12rlEdDrivghREoUSLQY9ep2GinwbHb4w7b4QS2cXc8GUgtQF+W8umc4Vc0u7XaSvbUkUH5JjQIiR9fnnn/Pmm2/yrW99i+nTpwP0OIgIcrFLjE0jflY7a9Ysdu3ahcvl4pVXXmHVqlVs27Yt42DimjVreOihh1K33W435eXlw97G9NmJk3Kt3Zb3pf+/TqvwyeFmJuVaOX9qXp9LDsOedmpc9YDCBYuvxFg4JZVY3W7Rp7ZdPLOYw40d5FiMhGMxFEWhNMeKzazHYTEwKddKocOE2x/GE4jQ4Quj12kIR+MYtRp0Ok0qZ+PUoiwcVgNGnZYss6HT6/Tn/Xb9bKD3ZY9ylUWMVn3lJOlPzpKetgmHw2zcuJG2tjai0Sh1Te20+hl0YZR9de28f6CRPLuRK+YmKjoOpNBLekGXTLOIe9pO8rUI0bumDj8dvhDFOWbKcm34QtFOxT16KpCU/vtp0mto84Q6zdJP/v++unY+ONCI2ahj9qRsjHodDosBnVZDllmPyxcmGo/T7PKzr66dygIbM0scHD10Eof/MLGyRVw0pxSjXovLH8ITiBKOxpiUa6XDH0ajwN66dvyhCHqdQnm+jWyrEbcvjF6rIdtioK7Fw2mXH7Nex6k2D7G4SocvxOQCe6qt+VkmOnwhXP4QJdkWgtEYefYC9tU5mVHiOKv+QabtMvU7pJ8hhltTh58/flbDqbZE7vP0i+Lpx/eumlb21LaTbTUAKvXtPuZX5HLok7/ijHuJosXn8xPTW4mfmYYYikIsHsGg01DX6sVq0jN7Ug6TC+10+ELUtrjJshhScabrIKIMpgsxslRV5f333+fdd98F4PDhw6mBRCHGmxEfSDQYDKkDbOHChWzfvp0nn3ySp556qtu2RqMRo9E4rO3p6ST7+vMrOj2W/NfpC9LhC7Fgch6LZhRSWWAjP8uExx8BoNUdTG3733vqOXDKSWWBjUKHhXZfCINOQ6RwHjFFS07ZTGaWOlLbf3qkmb8d3MuM0mx0Og1fvbASfziCxx/BHQjT4PSitsOsSdlMyrWioJBlMTC3LJf6dl+qquH+U05aPUFybUbys0zUtni5Yk5pt+VVySVZVqOOHKup12XK6Z9Pb9WYQa6yiNGrr453fzrmmbZJpmqor6/HbDZzxx13cNwZP6vCKDtPtLLjeAtZZgOVBVlA/2bgdH2NnmYR97Rdf9omxERW2+Kl0elnTllOalAhvbhHT8VA0mcsdp2hn35754lWDtQ7yTIb+NbS6SyaUZjaf1yF2WU5NDp91Lf52XmilTuvnInGU0+obhcAf1cJV148uc/38fy2w3x+vJW4ChdOLeCdL05hNxu4el4ZAC99eJTTZ/oA7d4wpzv8XDO/jDuvnJnaR7Y18VnodBosGoU5ZTn883U957zub/+gP+koJE6Jc6G2xYtOq6Esz9otPU/68a2g4AtF6fCFqW/3k2szcmrv33CerkNVNHhyF1BqzAbA7Q/h9CVm/WpUMOp1GHVaphRmUVWRg4LCZ8daUoXYml3BbquA5KK9ECMrHo/z5ptvsmPHDgAuv/xyrr766hFulRDDZ8QHEruKx+Od8iCea70t1e36mEajcLI1sYwg22rMWHU1+WOv0Sh8crQJpzeEr6OZWosZV8yIAniDifyJWQcbMeq1qdf42+HTOL0hGpx+bCYD9W1e4iqp5ctObwgUcPrCBCPxVFuaXcFO/7+rphW3L4zNpE8tPUp/f0C399XXMuXRUMFViLPVV8e7Px3zrtuoqsof//hHjh49ik6n47bbbiM/P5+Yzt9tXwPp+F84JR9fMEKe3TigGTiZCrpA99k8ff0rxHjS3OEnKytrSPaVLBri9AVp6vBTlG3ps+hH8mJhppyJXe8z67VMzrejKlDb4sF6JjdgcY4Zi0HPvpPtKIDdrCPbYmDDG+9ydMd7ABRNns2s+Rd1uwhoNeo41e5FQWHB5DwATPrE4EgkGmNvXTsmvRa9TsP7Bxox6DTk2AzkWo3odBqaOvzEVZWmDj/VW/ZSYDdz+dySQRVn6pr/MFEBN0SWxZDK3yzEaFFZYOOKuaUZL7ZbjTr84Si1LR7mluVw/fnlHGrooKHNh8V9nJMnD6AoCjMvvoq8kslMyrXyyZEm6lq8OKwGjjS4sJl1VOTZ0ek0XD6nhKqK3FQe0FNtXkLRRC5V45mCRUly0V6IkROJRPjDH/7AwYMHAVi2bBmLFi0a4VYJMbxGdCBxzZo1LFu2jIqKCjweDxs3bmTr1q1s2bJlQPsZihOCZEc2FImh0ShkWwx0+MOpQipAqrjK5AJ7ambgjBIHoKYSfieXBXv8EewWfadlTh3eECeOHMThPogmbkSbcyFhdGSZ9aBCVXkuoUiM400urAY9ZoMOvz5Kns1EZaGdqvJc/OEIDW1+6tu9OCwGYnGVKQV2zHotxdkWwtEYGgU8gTA2U+KkwqLX4SZEhy+E1ahjTlkOoUiMmjMnJPlZptT7S7a1r2XKgz1JkE6OGE366nj3p2PedZu//vWv7N69G0VR+OY3v0lZWVmP+xpIxz9TXtHBzuTpaTZPf7YTYjyoa/MxvXtdo0EpyraQbU1cZKu1elPHTm/HWXp+xJ4u6iX5QlEqCu2cbPVypNFFMBIjHleZU5Yo0NDuDaUuXp6qOUrz/g8BsJdMw1S+gLpWX7d9d70QCuAPxShwmBP5lr1B8mwmwtEYx067URSYXJjFNQvKONTQwdHTLhRFYd/Jdo41uckyG6gosHfLC9kfXfMfps+8SuZvFqIv1dXVVFdXU1NTA0BVVRU/+clPWLZs2ZC+Tm+/jb5QFKc3hNMborLAznXnl9PkClB/dD9uZ2KA4atf/SpxRwUHTjlpcgXYd9KJOxDGG4oQiceJxcFhM3bKHZosjJaMG0a9ts/VQEKIcyMcDrNhwwbq6urQarX8wz/8Q4/1HoQYT0Z0ILG5uZmVK1fS2NiIw+Fg/vz5bNmyhWuvvXZA+xmKE4KuM+06/OFuCcCTScGNei1GvZbTzkCqI3/glJNsq5FFMwozVl1VVZXWE3tod+0HoKCwmA6NkWAgxpRiOyU5VoqyLYkrl04/yXSsKhCOxblwakGq0/DpkWY0GoXKtBMCXyiKXqdBe+bkoNUTJBxNDIb6w1H8ZwYOfaFoallU8v1VDbDK69mcJMgJgRjPnE4nn3zyCQDLly9n5syZfTxDCDESKvKsfW80AP2ZwZs+K7BrTsVMuf+sRh317b7UzMMWVwAVtdtspIumFXCqzYe7uY6WIx8DoGZNonDWxagoZ6ovR1P7qWnxMLnAjkmvpa7VS22Lh+JsS+pCqUmvwdSqpTzfSnG2Fb1OSzAUpSTbgtMXZHKBHe/UfArsiWr0DquBArt50LOXu352F00rSM1ITN+nXJQUvSkrK+Pxxx9nxowZqKrK+vXrWbFiBZ9//jlVVT0vrz9b6YVXMlVwnl+WxYkPa1CBOecv4qKLLkrlVa1v85FjMyZm+moV9FoNpTkWItEYoWgMq1HXLa9qMqVS12rlckwIkdnatWtTswXNZjNLlizhiSeeYNasWUOyf71eT25uLk1NTdx6661UVlYOyX7HEvl9nphGdCDxmWeeGZL9DMUJQfIHPzlTb3KBndMdPnYeb8Fq1FFVkZuakZg+i6+ywEarO4hGk+ispydXT3YuFlTksPPD/6b2WOJq5JTZC5h83sW07T+NXhemPN9GU0eAv+yqQ6/TYjfpsRp1FDosuPwhFEVhb10bTl+Q8yfnp9qRnDWZPKlInnwki6kU2M3MKcshEo2j12qYVZpNZYEt1YGxnDmZSS7FGi6yRFKMFYP5Iez0nJwc7rzzTurr67ngggt6fE76iUcyb+lAC7701tb0x1rdwU7VJYUQUDjEv3n9ucjW9YJlek7F9P0kfXqkOZV7ESB4plpz19lI151v4ZNDp/nvXX9BVVVsRZOpN0znVJuPkhwrNS2eTjMYkxdEKwvsHGl0dZrlmLg/C38oRmVBFotmFHZKuZK4gGriu9efl3r9y+eWDOln11MFXLkoKXqzfPnyTrcfe+wxqqur+fjjj4d1IHHniVY+P94KwJ1Xzuz2/V0wrZgdF17LkYP7CDqmAl/OYv7sWAsaRaG8wMbJVi92s4Fsmyk1W9gXiuLrklc1x2pKTV4AqVYuRF+2bdvG6tWrufjii4lGozzyyCNcd9117N+/H6v17McQFEVh+fLlXH755eTmTsx+tvw+T0yjLkfiYAzFCUH6cqNkZzoYiXO4wYXVpKeqIjc1I7HrLL7aFi/xuJrqrCf3t/NEK7uONNLw+TsEXS2oKOhLz0MtnENtqw9Fo5BlMRJXob7dx+kOP1ajDrvZgNmo55KZRQC888Up9p10crojQI41MYCZPmsy0xKH9I69LxRFeybpefI9Njr9aDQKfqc/ld9xuMgSSTFWDOaHsLbFy/6TbannVFRUUFHR+xTp9BOPZN7Snl6zpzb11tb0xw41dKReSwYShRg5A00N0vUi3MJp+SgoGZ83uSiLy65bQcfJg0yeu5Bdte3dLjJmyq2anD2VaWZkX3lVzzW5KCn6K1nwzOfzsXjx4ozbhEKhTjnZ3W73oF4rWXCla+GVeDxOy5mCizMqSggrRswGbac8qsljelKuFZNeS6snMeO3yGFGRe00KzlT/uLkRIb0NExCiM7+/Oc/d7q9bt06CgsL2bFjB1dccUW37fsTG2pra/n888/5+7//ezQaDRqNZsIOIoL8Pk9U8svTRfqBkPxhTnYO+pM8Pb2TfeGUfFoOfYrH1YJOryd/zlLmzpqZ6tgnOwpluTZMeg0nW31kW41kmfXYLfo+l/kM9mRktJwUCDHaDOaH0Kr6aN39F6zlK/r9nPQTj/TZzQNpU29t7S2OCSHOXtcZwf2ZzdzTRbWentt1++vPr0ht2+oO4gtFKbAoTJlUAIDRZGbRkssBmBWJ9zqLubeZysklk321u6/PJfka6UuxM7UnvS9ytjlrxcS2Z88eFi9eTDAYxGazsWnTph5zla1du5af//znZ/2amfIXu1wufvvb3zJl3iW0qQ7mlOVw4dSCRB7Vli/zqKanQvKFovhDUYx6bWoyQPqs5OR3vyjDRIb0NExCiN65XC6AHgf++ooNBw4c4NVXXyUWi1FQUMDSpUuHpZ1jifw+T0wykNiLrp2DomwLre4gf9l9KmPHuOuJQH6WiVnnX8KBsJ9p8y9BZ3bwpx216LQaphVlMSnPyvmTk4OUWVwxtzT13H117fxl9ykunJLPdeeXd2tbegd9d00bKq2dqhvuq2vnvQON5NtNXDG3pNOMxd4OdslxICaygf4QOp1O3nr9VXw+H3t2fEzVjMn9el6m2DLQNvXW1vTHirItMhNRiCHWdUbw2SzrGchz05dH+9pP07r/fZbdcAOxrPJOBUv6msXc20zloXovydeob/NSkmPtsT3pxWWk3yHOxqxZs9i1axcul4tXXnmFVatWsW3btoyDiWvWrOGhhx5K3Xa73ZSXd+9v9yZTnzkQCLD+t8/jbG/Ht+NvTLvkq+yra6fdF6Ii35aq2N61n53p4mB6SqVMZBaQEAMTj8d58MEHWbp0Keedd17GbXqLDdu3b+fNN98EEvFGKjOLiUwGErvoqwOdXJLYtWOc/ryYv4PS0lJqW7zsPumhzXYe4ZYY7d4GjjS6UIBml5/JhVk95jhJX/qYaRAgvR3J4o7p1Q13nmhl57EWsqwGKgvsA1qmKTkOhOibz+fjhRdewOfzUVRUxE033TTSTRJCDJG+Lqr1NNN/MCf0A3lucpumxnpO7H0PNR5jz74D3LB8Nh2+EE5fkLJcG3PKcrrtLzko0dTh54vaNto8AfyhSLdBja6DFwO5wJhpNnTX4jBdt5XVEWKoGAwGpk+fDsDChQvZvn07Tz75JE899VS3bY1GI0aj8axer2ufORKJ8OKLL+JsbwOdiVjpRQRjKntPteP2hSl0mPGFohn72ZkuDqanVMpEZgEJMTCrV69m7969fPDBBz1u01Ns2LZtGzt37gTgwgsv5MYbb0Sj0QxbW4UY7WQgsYu+OvTJ5YFdO8aVBTZUVaXl+Be89fGH3HDDDUyeNY+F0/Jx+8M4LEZCkRg6jabTjMRM+YjSX6en5Yjp7QiEo50qxCUf9wYj5NtNA+qcy9VNIfoWDofZuHEj7e3tZGdnc/vtt2Mymc7Ja6ef1MPAKzae7fOFmAj6uqjW9QT+bE7oB/LcomwLYU8bf3n/LdR4DMVWwKxFf0dxjpW6Vh8HTjnJsZq65U2GLwcl9p1sp6bJTSQe50ijC5Ne1+l9dh28GMgFxoHMhpZBEDHc4vF4p1xn/dHc4ScrK6tf26b3mePxOK+++ionT57EYDQyZ8kyIjoLoFBVlksoGuuUzqSnmYnp+pqRmCSriYTo27333ssbb7zBe++9R1lZ2YCf/9FHH2Eymbjqqqu44oorUBRlGFopxNgxoQcSM/3w9tWxrarITVVZtRp17Kppxe0Po8bjtBz6lNZTxwDweDyp/Cfpr7NoRmGPuZDS5WeZKHSY2H+qnfp2Hwsm53XaJlNOlq7PXzi1YMCdiuT7b+rw99nBEWIiisVivPzyyzQ0NGCxWLjjjjuw2+3n7PXTT+ph4BUbz/b5Qoyk6upqqqurqampAaCqqoqf/OQnLFu2bEhfZ7RcVOvaT6mvr2fDhg3EohGy8kuYfem1TC3O7tTWvvKtTi3KIhpX8QUjnFeRS1wlNVCxr66dHcdbOl2EzLTfweSIFGI4rVmzhmXLllFRUYHH42Hjxo1s3bqVLVu2DGg/dW0+pvdeLy0l2WdWVZU33niDQ4cOodVque3WW6msrOTTI80cOOXkvIrcbimGko8lb2fS14zEJFlNJETPVFXlvvvuY9OmTWzdupUpU6YMaj/J6swXXnjhELdQiLFpQg8kDvaHNz2vz8lWL+0dbswtu9GFOlAUhRtvvJGFCxdmfB3o34l7bYuXHcdaafMEybObBlxZ+Ww7FdIpEUNl7dq1/OEPf+DgwYOYzWaWLFnCE088waxZs3p8zrp167j77rs73Wc0GgkGg8Pd3D69//77HDt2DL1ez2233UZeXt45ff1MJ/VnO+t4pAdLhOivsrIyHn/8cWbMmIGqqqxfv54VK1bw+eefU1VVNWSvM1pmy6X/FscDLl544QVCoRCVlZXcdtttGAyG1LZ9tTn98fRiDgdOOVMDFTtPtHKkwYVtqr7XC6xDmSNSiKHQ3NzMypUraWxsxOFwMH/+fLZs2cK11147oP1U5Fkz3t/TYHlTh5+/bf+c3Tt3oigK3/jGN6isrAS6/96m76Ovgf+mDj9OX5CSHMuAiyoKIb60evVqNm7cyObNm7Hb7Zw+fRoAh8OB2Wzu936+8Y1vyCCiEGkm9EDiYH940/P62LUhDhzfSTjkQavTc8PXVrBwQVXG7Qdy4l5ZYOu0LHqwbRxsp0I6JWKobNu2jdWrV3PxxRcTjUZ55JFHuO6669i/fz9Wa+YOO0BWVhaHDh1K3R4tSwgWL15MQ0MDixYtYtKkSef89TMtqTyXzxdiJC1fvrzT7ccee4zq6mo+/vjjIR1IHC3Sf4sPffEZwWCQ8vLyboOIQ7F/6DutSk/Pkz6DGGnPPPPMkOynsIffxJ4Gy2tbvHRoc6mYUcW8mZOZM2dO6rGuv7fp+1g0o7DPCQWnnYFOFZt7MloufAgxGlVXVwNw1VVXdbr/ueee46677ur3fmbMmDGErRJi7BsXA4mfHWuhaopuWH9Ek1cR05OCO0wa3nzpz4T9fhwOB7fddhuFhd3zEvV14t7TEuvksujdNW3sqmlNVXju6Ypo+v3przmYJUfSKRFD5c9//nOn2+vWraOwsJAdO3ZwxRVX9Pg8RVEoLi4e7uYNmNFo5NZbbx01A5tCTFSxWIzf//73+Hw+Fi9enHGbUCjUKUea2+0+V80bEum/xYWXX47NZqOqqmpAg4j76trZeaKVC6fkd0uJ0vW3vq+0Kf1pZ1ey7FmMBz0Nlqfuv/CrAypGNNjXE0IMjKqqI90EIcalcTGQeLi+A5ut/5WJkwayFCd9OXP8TJnkRTMKueyyy9i7dy+33norNtvgfux7a0dti5fPjrUAiarMkHlpdF/7kCVHYrRwuVwA5Ob2frLq9XqprKwkHo9z4YUX8qtf/arHGUfDPVjwxRdf4HK5uOyyy1AURQYRhRhBe/bsYfHixQSDQWw2G5s2bWLu3LkZt127di0///nPz3ELh47T6cRms6HX61EUZVDLqnaeaOXz460AgxokzGQw/af+bCvEaNV1sLyuro4vvviCZcuWDctFermgL4QQYjQbFwOJMydlD+qK3WCuDFoMWjo8vtTtSy+9lEWLFqHVagf8+v1pR2WBjYumFXSrytzjFdEe9tHTY0KcS/F4nAcffJClS5dy3nnn9bjdrFmzePbZZ5k/fz4ul4t/+7d/Y8mSJezbty9jpbXhGCxIzqLR+Ft46/XNxONx9GY7GkepzKwRYgTNmjWLXbt24XK5eOWVV1i1ahXbtm3LOJi4Zs0aHnroodRtt9tNeXn5uWzuoLW1tbFu3ToKCgq45ZZbBr2Uub/LlQeiP/nd+psLToixprm5mRdffJFgMIjD4eDyyy8f6SYJIYQQ59S4GEi8aFoBWVkDP6lPDgTUtng73e5p2zybgT/+8Y80NjZy0be/DSSWX7Z6Qp2WPVuNOurbfaionD85v88lxj1ddUxuPynXmkqE3tO2vb0XuaopRovVq1ezd+9ePvjgg163W7x4caelikuWLGHOnDk89dRTPProo922H47BgtoWL7sOHKN5z7vE43HOO+88lKwSmVkjxAgzGAxMnz4dgIULF7J9+3aefPJJnnrqqW7bGo1GjEbjuW7iWXM6nfz2t7/F6/VisViIRqODHkgc7HLl3vTVrxhILjghxhKXy8WGDRtS+UovvfTSkW6SEEIIcc6Ni4HEs9HfJTd+v5+XXnqJuro6FEXh5MmTqaSrXZc9J6s5Q2I5cvog30AGITItp+5vx1067WK0uffee3njjTd47733Ms4q7I1er+eCCy7g6NGjGR8fjsGCbH2Etv3vEYtGmDJlCitWrKDNG0ZRFJlZI8QoEo/HO6U2GOs6OjpYv349breb/Px8Vq5cicUytn7TZRaiGI8CgQAbNmxIHZu33norer1+pJslhBBCnHMTfiCxP53dtrY2Nm7cSHt7O0ajkZtvvpmpU6d220f6jMQih7nH5cj97Vh33W9/Kj0PZP9CnAuqqnLfffexadMmtm7dypQpUwa8j1gsxp49e/jqV786DC3szuv18ufXXyUcClJcXMy3vvUtdDodRdnDW9RJCNG7NWvWsGzZMioqKvB4PGzcuJGtW7eyZcuWkW5ajwZSbMTtdrN+/XpcLhd5eXmsXLmy1+r2g32d4SYrIcR4E4lE+N3vfkdLSwt2u5077rgDs9k80s0SQgghRsSEH0jsc3lObS0vvfQSgUCgx8rMmfaRaRnRQDvWw729EOfC6tWr2bhxI5s3b8Zut3P69GkAHA5HqhO+cuVKJk2axNq1awH4xS9+waWXXsr06dPp6OjgX//1X6mtreWf/umfhr29sViMjRs34nQ6ycnJ4fbbbx+TSyOFGI+am5tZuXIljY2NOBwO5s+fz5YtW7j22mtHumk96u9qAY/Hw/r16+no6CAnJ4eVK1dit9uH/HWEEAO3efNm6urqMBqN3HHHHTgcjpFukhBCCDFiJuRAYn+v2n+y8wu2/GkzajzOpEmTuOWWWwZdmXmo2iTEWFNdXQ3AVVdd1en+5557jrvuugtIVD/UaDSpx5xOJ/fccw+nT58mJyeHhQsX8tFHH/VYmXUoabVaLrzwQrZt28Ydd9wxbMe8EGLgnnnmmZFuwoD1d7WA1+vF7/eTnZ3NqlWryMrKGpbXEUIM3AUXXMCJEye4+eabu00oEEIIISaaCTmQ2N+r9iGtHY3OSEFRCavuvGVY86DITAIxXqmq2uc2W7du7XT717/+Nb/+9a+HqUV9u+iii5g3b57MRBRCnLX+rhYoKSlh1apVmEymQc12klUJQgyfadOm8cADDwy66JEQQggxnkzIgcTertqrqoqiKADMqiyCr/4jMyuKhj2ZsswkEGLkqKrK9u3bOe+881JFDWQQUQgx3Px+Py6Xi5KSEgCKi4tHuEVCiKQvvviC0tJS8vPzAWQQUQghhDhD0/cm409RtoVFMwq7Xbn3+/2sW7eOPXv2pLa7YsFUinP6l+h8ONokhBh+H330EW+99Rbr1q0jGo2OdHOEEBNAIBDg+eefZ926dZw8eXKkmyOESHPw4EFee+01nn32WVwu10g3RwghhBhVJuSMxExaW1tTBRba2tqYPXs2er0+lbswvXLyuR7sk/yJQgyf3bt388477wCJHEg6nYRFIcTwCgaDvPDCC5w+fRqr1YrJZBrpJgkhzqirq+PVV19FVVVmz5494HylQgghxHgnZ8xATU0NL730EsFgkOzsbG677bbUUuZk7kKNRiEeT+R6O9eDeZI/UYjhceTIETZv3gzA4sWLWbx48Qi3SAgx3oVCITZs2EBDQwNms5mVK1dSUFAw0s0SQgAtLS288sorRKNRZs6cyde+9rVUyiMhhBBCJEz4gcTdu3fz+uuvE4/HKSsr45ZbbsFq/XIpczJnYfqMxHNN8icKMfTq6+v5/e9/j6qqzJs3j2uvvXakmySEGOfC4TAbN27k1KlTmEwmVq5cKRVghRhFXn75ZcLhMGVlZfzjP/4jGs2EzAIlhBBC9GrCDiSqqsq7777L+++/D0BVVRUrVqzoVlRlNFRBHA1tEGI8aWtrY+PGjUQiEaZNm8aKFStkxoEQYlhFIhFefPFF6urqMBqN3HnnnVJcRYhRxu12M2nSJG699dZhL7QohBBCjFVjeiBRVRNLjd1u96Ce7/F4CAaDLF68mCuvvJJAIEAgEOhx++YOP3VtPiryrBTKwJ44x5Lf8+T3XvSsr9jg8XiIx+Pk5ORwww034PP5zmXzzimJW+OfxIb+O9t+w9mIRqOEw2Hi8TgrVqzAZrONSDsGSmLI2CWxof+Sn5FOp+Pv//7viUajfR6fcmyIsUpiQ/+NZL+hPyQOiaE0kNigqGM4gpw6dYry8vKRboYQ59TJkycpKysb6WaMahIbxEQksaFvEhvERCSxoW8SG8REJLGhbxIbxETUn9gwpgcS4/E4DQ0N2O32Mb8s0e12U15ezsmTJ8dFdbjx9H5Gy3tRVRWPx0Npaank7OnDeIoNSaPleziS5DPI/BlIbOi/sRobxtN3X97LuSOxof/Gamzor9H+XR0JE/kzkdjQfz3FhvH8/ZH3Nnad7fsbSGwY00ubNRrNuLuKkpWVNa6+1OPp/YyG9+JwOEb09ceK8RgbkkbD93CkyWfQ/TOQ2NA/Yz02jKfvvryXc0NiQ/+M9djQX6P5uzpSJupnIrGhf/qKDeP5+yPvbew6m/fX39gglyCEEEIIIYQQQgghhBB9koFEIYQQQgghhBBCCCFEn2QgcZQwGo389Kc/xWg0jnRThsR4ej/j6b2IsUu+h/IZgHwGE9V4+rvLexHi3JPvanfymYizMZ6/P/Lexq5z+f7GdLEVIYQQQgghhBBCCCHEuSEzEoUQQgghhBBCCCGEEH2SgUQhhBBCCCGEEEIIIUSfZCBRCCGEEEIIIYQQQgjRJxlIFEIIIYQQQgghhBBC9EkGEkdYdXU18+fPJysri6ysLBYvXsxbb7010s0aEo8//jiKovDggw+OdFMG5Wc/+xmKonT6b/bs2SPdLDHBjOcYMVhjPbYMhsSjiWm8Hv9j+RiWY1GMVWP5uBtq9fX13HHHHeTl5WE2m5k3bx6fffbZSDdLjHJr167l4osvxm63U1hYyE033cShQ4dGulnDYjzGi/F63MdiMX784x8zZcoUzGYz06ZN49FHH2W4ayrrhnXvok9lZWU8/vjjzJgxA1VVWb9+PStWrODzzz+nqqpqpJs3aNu3b+epp55i/vz5I92Us1JVVcU777yTuq3TySEjzq3xGiMGa7zElsGQeDTxjMfjfzwcw3IsirFmPBx3Q8XpdLJ06VKuvvpq3nrrLQoKCjhy5Ag5OTkj3TQxym3bto3Vq1dz8cUXE41GeeSRR7juuuvYv38/Vqt1pJs3ZMZjvBjPx/0TTzxBdXU169evp6qqis8++4y7774bh8PB/fffP2yvKz2fEbZ8+fJOtx977DGqq6v5+OOPx+xJgtfr5fbbb+c///M/+eUvfznSzTkrOp2O4uLikW6GmMDGY4wYrPEUWwZD4tHEM96O//FyDMuxKMaS8XLcDZUnnniC8vJynnvuudR9U6ZMGcEWibHiz3/+c6fb69ato7CwkB07dnDFFVeMUKuG1niNF+P5uP/oo49YsWIFN954IwCTJ0/mxRdf5NNPPx3W15WlzaNILBbjd7/7HT6fj8WLF490cwZt9erV3HjjjVxzzTUj3ZSzduTIEUpLS5k6dSq33347dXV1I90kMYGNlxgxWOMptgyGxKOJbTwc/+PlGJZjUYwl4+W4Gyqvv/46F110Ed/85jcpLCzkggsu4D//8z9HulliDHK5XADk5uaOcEuGzniNF+P5uF+yZAl//etfOXz4MAC7d+/mgw8+YNmyZcP6ujIjcRTYs2cPixcvJhgMYrPZ2LRpE3Pnzh3pZg3K7373O3bu3Mn27dtHuiln7ZJLLmHdunXMmjWLxsZGfv7zn3P55Zezd+9e7Hb7SDdPTCDjKUYM1niKLYMh8WjiGi/H/3g5huVYFGPJeDnuhtLx48eprq7moYce4pFHHmH79u3cf//9GAwGVq1aNdLNE2NEPB7nwQcfZOnSpZx33nkj3ZwhMZ7jxXg+7n/0ox/hdruZPXs2Wq2WWCzGY489xu233z6srysDiaPArFmz2LVrFy6Xi1deeYVVq1axbdu2MXeicPLkSR544AHefvttTCbTSDfnrKWP4s+fP59LLrmEyspKXn75Zb7zne+MYMvERDNeYsRgjbfYMhgSjyau8XD8j6djWI5FMVaMp+NuKMXjcS666CJ+9atfAXDBBRewd+9e/uM//mPMDyiIc2f16tXs3buXDz74YKSbMiTGe7wYz8f9yy+/zIYNG9i4cSNVVVXs2rWLBx98kNLS0mF9b4o63OVcxIBdc801TJs2jaeeemqkmzIgr732Gl//+tfRarWp+2KxGIqioNFoCIVCnR4biy6++GKuueYa1q5dO9JNERPYWI0RgzURYstgSDyamMbi8T/ej2E5FsVoNN6Pu8GqrKzk2muv5b/+679S91VXV/PLX/6S+vr6EWyZGCvuvfdeNm/ezHvvvTdu8uyN93gxno/78vJyfvSjH7F69erUfb/85S954YUXOHjw4LC9rsxIHIXi8TihUGikmzFgX/nKV9izZ0+n++6++25mz57Nww8/PKaDDySSzx47dow777xzpJsiJrixGiMGa7zHlsGQeDRxjcXjfzwfw3IsitFqPB93Z2Pp0qUcOnSo032HDx+msrJyhFokxgpVVbnvvvvYtGkTW7duHTeDiDD+48V4Pu79fj8aTefSJ1qtlng8PqyvKwOJI2zNmjUsW7aMiooKPB4PGzduZOvWrWzZsmWkmzZgdru9W44Iq9VKXl7emMwd8YMf/IDly5dTWVlJQ0MDP/3pT9Fqtdx6660j3TQxgYynGDFY4y22DIbEo4lpvBz/4+kYlmNRjBXj6bgbSt///vdZsmQJv/rVr7j55pv59NNPefrpp3n66adHumlilFu9ejUbN25k8+bN2O12Tp8+DYDD4cBsNo9w687OeI8X4/m4X758OY899hgVFRVUVVXx+eef83/+z//h29/+9rC+rgwkjrDm5mZWrlxJY2MjDoeD+fPns2XLFq699tqRbtqEd+rUKW699Vba2tooKCjgsssu4+OPP6agoGCkmyYmEIkRAiQeTVRy/I8+ciwKMbZdfPHFbNq0iTVr1vCLX/yCKVOm8Jvf/GbYCxOIsa+6uhqAq666qtP9zz33HHfddde5b5Dot/F83P/7v/87P/7xj/ne975Hc3MzpaWl/PM//zM/+clPhvV1JUeiEEIIIYQQQgghhBCiT5q+NxFCCCGEEEIIIYQQQkx0MpAohBBCCCGEEEIIIYTokwwkCiGEEEIIIYQQQggh+iQDiUIIIYQQQgghhBBCiD7JQKIQQgghhBBCCCGEEKJPMpAohBBCCCGEEEIIIYTokwwkCiGEEEIIIYQQQggh+iQDiUIIIYQQQgghhBBCiD7JQOIoctddd3HTTTelbl911VU8+OCD57wdW7duRVEUOjo6etxGURRee+21c9YmISYyiQ1CiEwkNgghMpHYIITIRGKDGCoykNiHu+66C0VRUBQFg8HA9OnT+cUvfkE0Gh321/7DH/7Ao48+2q9t+3MwisEZqQArRjeJDUJig8hEYoOQ2CAykdggJDaITCQ2iLEYG3Qj3YCx4IYbbuC5554jFArx5ptvsnr1avR6PWvWrOm2bTgcxmAwDMnr5ubmDsl+hBDDQ2KDECITiQ1CiEwkNgghMpHYIMYamZHYD0ajkeLiYiorK/nud7/LNddcw+uvvw58OT34scceo7S0lFmzZgFw8uRJbr75ZrKzs8nNzWXFihXU1NSk9hmLxXjooYfIzs4mLy+Pf/mXf0FV1U6v23VkOhQK8fDDD1NeXo7RaGT69Ok888wz1NTUcPXVVwOQk5ODoijcddddAMTjcdauXcuUKVMwm80sWLCAV155pdPrvPnmm8ycOROz2czVV1/dqZ39tWfPHv7u7/4Os9lMXl4e/+N//A+8Xm/q8Wg0yv333596vw8//DCrVq3qNLU6kw8//JCrrroKi8VCTk4O119/PU6nM/V53H///RQWFmIymbjsssvYvn176rnr1q0jOzu70/5ee+01FEVJ3f7Zz37G+eefz/PPP8/kyZNxOBzccssteDweIPH33bZtG08++WTqSlFNTQ1Op5Pbb7+dgoICzGYzM2bM4Lnnnhvw5ybGNokNfZPYILFhIpLY0DeJDRIbJiKJDX2T2CCxYSKS2NA3iQ2jKzbIQOIgmM1mwuFw6vZf//pXDh06xNtvv80bb7xBJBLh+uuvx2638/777/Phhx9is9m44YYbUs/73//7f7Nu3TqeffZZPvjgA9rb29m0aVOvr7ty5UpefPFF/u///b8cOHCAp556CpvNRnl5Oa+++ioAhw4dorGxkSeffBKAtWvX8tvf/pb/+I//YN++fXz/+9/njjvuYNu2bUAiAP3DP/wDy5cvZ9euXfzTP/0TP/rRjwb0efh8Pq6//npycnLYvn07v//973nnnXe49957U9s88cQTbNiwgeeee44PP/wQt9vdZ86DXbt28ZWvfIW5c+fyt7/9jQ8++IDly5cTi8UA+Jd/+RdeffVV1q9fz86dO5k+fTrXX3897e3tA2r/sWPHeO2113jjjTd444032LZtG48//jgATz75JIsXL+aee+6hsbGRxsZGysvL+fGPf8z+/ft56623OHDgANXV1eTn5w/odcX4I7GhM4kNEhtEgsSGziQ2SGwQCRIbOpPYILFBJEhs6ExiwyiMDaro1apVq9QVK1aoqqqq8Xhcffvtt1Wj0aj+4Ac/SD1eVFSkhkKh1HOef/55ddasWWo8Hk/dFwqFVLPZrG7ZskVVVVUtKSlR/9f/+l+pxyORiFpWVpZ6LVVV1SuvvFJ94IEHVFVV1UOHDqmA+vbbb2ds57vvvqsCqtPpTN0XDAZVi8WifvTRR522/c53vqPeeuutqqqq6po1a9S5c+d2evzhhx/utq+uAHXTpk2qqqrq008/rebk5Kherzf1+J/+9CdVo9Gop0+fVlVVVYuKitR//dd/TT0ejUbVioqKTu+3q1tvvVVdunRpxse8Xq+q1+vVDRs2pO4Lh8NqaWlp6nN97rnnVIfD0el5mzZtUtO/9j/96U9Vi8Wiut3u1H0//OEP1UsuuSR1O/3vkLR8+XL17rvv7rHtYvyT2JCZxAaJDROdxIbMJDZIbJjoJDZkJrFBYsNEJ7EhM4kNozs2SI7EfnjjjTew2WxEIhHi8Ti33XYbP/vZz1KPz5s3r1Oegt27d3P06FHsdnun/QSDQY4dO4bL5aKxsZFLLrkk9ZhOp+Oiiy7qNt04adeuXWi1Wq688sp+t/vo0aP4/X6uvfbaTveHw2EuuOACAA4cONCpHQCLFy/u92sk97FgwQKsVmvqvqVLlxKPxzl06BAmk4mmpiYWLVqUelyr1bJw4ULi8XiP+921axff/OY3Mz527NgxIpEIS5cuTd2n1+tZtGgRBw4cGFD7J0+e3OlvVVJSQnNzc6/P+e53v8s3vvENdu7cyXXXXcdNN93EkiVLBvS6YuyT2NA7iQ0SGyYqiQ29k9ggsWGiktjQO4kNEhsmKokNvZPYMPpigwwk9sPVV19NdXU1BoOB0tJSdLrOH1v6FxrA6/WycOFCNmzY0G1fBQUFg2qD2Wwe8HOSOQP+9Kc/MWnSpE6PGY3GQbXjXBrMe06n0Wi6BcpIJNJtO71e3+m2oii9BhyAZcuWUVtby5tvvsnbb7/NV77yFVavXs2//du/nVWbxdgisWFkSGwQo53EhpEhsUGMdhIbRobEBjHaSWwYGRIbBk9yJPaD1Wpl+vTpVFRUdDuoM7nwwgs5cuQIhYWFTJ8+vdN/DocDh8NBSUkJn3zySeo50WiUHTt29LjPefPmEY/HU7kGukpeoUiu5weYO3cuRqORurq6bu0oLy8HYM6cOXz66aed9vXxxx/3+R7TzZkzh927d+Pz+VL3ffjhh2g0GmbNmoXD4aCoqKhTYtJYLMbOnTt73e/8+fP561//mvGxadOmYTAY+PDDD1P3RSIRtm/fzty5c4FEEPV4PJ3atWvXrgG9N0h8tumfa1JBQQGrVq3ihRde4De/+Q1PP/30gPctxjaJDb2T2CCxYaKS2NA7iQ0SGyYqiQ29k9ggsWGiktjQO4kNoy82yEDiMLj99tvJz89nxYoVvP/++5w4cYKtW7dy//33c+rUKQAeeOABHn/8cV577TUOHjzI9773PTo6Onrc5+TJk1m1ahXf/va3ee2111L7fPnllwGorKxEURTeeOMNWlpa8Hq92O12fvCDH/D973+f9evXc+zYMXbu3Mm///u/s379egD+5//8nxw5coQf/vCHHDp0iI0bN7Ju3boBv1+TycSqVavYu3cv7777Lvfddx933nknRUVFANx3332sXbuWzZs3c+jQIR544AGcTmenikZdrVmzhu3bt/O9732PL774goMHD1JdXU1raytWq5Xvfve7/PCHP+TPf/4z+/fv55577sHv9/Od73wHgEsuuQSLxcIjjzzCsWPHBvXekp/9J598Qk1NDa2trcTjcX7yk5+wefNmjh49yr59+3jjjTeYM2fOgPctJhaJDRIbhMhEYoPEBiEykdggsUGITCQ2SGwYcSOVnHGsSE9+OpDHGxsb1ZUrV6r5+fmq0WhUp06dqt5zzz2qy+VSVTWR7PSBBx5Qs7Ky1OzsbPWhhx5SV65c2WPyU1VV1UAgoH7/+99XS0pKVIPBoE6fPl199tlnU4//4he/UIuLi1VFUdRVq1apqppI2Pqb3/xGnTVrlqrX69WCggL1+uuvV7dt25Z63h//+Ed1+vTpqtFoVC+//HL12WefHVDyU1VV1S+++EK9+uqrVZPJpObm5qr33HOP6vF4Uo9HIhH13nvvVbOystScnBz14YcfVr/5zW+qt9xyS4+voaqqunXrVnXJkiWq0WhUs7Oz1euvvz7VrkAgoN53332pz3jp0qXqp59+2un5mzZtUqdPn66azWb1a1/7mvr00093S366YMGCTs/59a9/rVZWVqZuHzp0SL300ktVs9msAuqJEyfURx99VJ0zZ45qNpvV3NxcdcWKFerx48d7fS9ifJHYkJnEBokNE53EhswkNkhsmOgkNmQmsUFiw0QnsSEziQ2jOzYoqtpDtk0hhlE8HmfOnDncfPPNPProoyPdHCHEKCGxQQiRicQGIUQmEhuEEJlIbBheUmxFnBO1tbX85S9/4corryQUCvH//t//48SJE9x2220j3TQhxAiS2CCEyERigxAiE4kNQohMJDacW5IjUZwTGo2GdevWcfHFF7N06VL27NnDO++8M7rW+QshzjmJDUKITCQ2CCEykdgghMhEYsO5JUubhRBCCCGEEEIIIYQQfZIZiUIIIYQQQgghhBBCiD7JQKIQQgghhBBCCCGEEKJPMpAohBBCCCGEEEIIIYTokwwkCiGEEEIIIYQQQggh+iQDiUIIIYQQQgghhBBCiD7JQKIQQgghhBBCCCGEEKJPMpAohBBCCCGEEEIIIYTokwwkCiGEEEIIIYQQQggh+vT/ATirx6VEE+lGAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1600x250 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = ['Reh_RUNX1_B', 'Reh_DMSO_RUNX1', 'Nalm6_RUNX1', 'REH_RUNX1_rep1', 'REH_RUNX1_rep2']\n",
    "\n",
    "num_peaks = []\n",
    "correlations_after_bias_correction_V1 = []\n",
    "fig, axs = plt.subplots(1, 5, figsize=(16, 2.5))\n",
    "for i, model in enumerate(models):\n",
    "    mean_predictions_h5_file = f'/users/shouvikm/BPNet/fusion_deconvolution_V1/predictions/{model}/mean_predictions.h5'\n",
    "    with h5py.File(mean_predictions_h5_file, \"r\") as f:\n",
    "        pred_logcounts = f[\"pred_logcounts\"][:]\n",
    "    # Reorder coords as true_logcounts regions may not be in the same order as mean h5 file\n",
    "    fold_0_predictions_h5_file = f'/users/shouvikm/BPNet/fusion_deconvolution_V1/predictions/{model}/fold_0/model_split000_predictions.h5'\n",
    "    with h5py.File(fold_0_predictions_h5_file, \"r\") as f:\n",
    "        coords_chrom = f['coords/coords_chrom'][:]\n",
    "        coords_start = f['coords/coords_start'][:]\n",
    "        coords_end = f['coords/coords_end'][:]\n",
    "        true_logcounts = f[\"predictions/true_logcounts\"][:]\n",
    "        order = np.argsort([str(coords_chrom[i])+\"_\"+str(coords_start[i])+\"_\"+str(coords_end[i]) \n",
    "                            for i in range(coords_chrom.shape[0])])\n",
    "        true_logcounts = true_logcounts[order]\n",
    "    corr_plus = np.corrcoef(pred_logcounts[:, 0], true_logcounts[:, 0])\n",
    "    corr_minus = np.corrcoef(pred_logcounts[:, 1], true_logcounts[:, 1])\n",
    "    corr_avg = (corr_plus[0, 1] + corr_minus[0, 1])/2\n",
    "    correlations_after_bias_correction_V1.append(corr_avg)\n",
    "    ax = axs[i]\n",
    "    ax.scatter(pred_logcounts[:, 0], true_logcounts[:, 0], s=1, color='steelblue', alpha=0.3)\n",
    "    ax.scatter(pred_logcounts[:, 1], true_logcounts[:, 1], s=1, color='steelblue', alpha=0.3)\n",
    "    ax.axline((0, 0), slope=1, linestyle='--', color='gray')\n",
    "    ax.set_xlim([pred_logcounts.min(), pred_logcounts.max()])\n",
    "    ax.set_ylim([true_logcounts.min(), true_logcounts.max()])\n",
    "    ax.set_title(f'{model} \\n correlation: {corr_avg:.2f}', fontsize=11)\n",
    "    ax.set_xlabel('Predicted log counts')\n",
    "    ax.set_ylabel('Actual log counts')\n",
    "        \n",
    "    peak_file = glob.glob(f'/users/shouvikm/data/Cell_Lines_Ped_Leukemia/Reh/*/{model}/idr_peaks/peaks_inliers.bed')[0]\n",
    "    peaks = pd.read_csv(peak_file, sep='\\t')\n",
    "    num_peaks.append(peaks.shape[0])\n",
    "\n",
    "# plt.suptitle('Predicted vs actual log counts for Reh ChIP-seq BPNet models')\n",
    "plt.subplots_adjust(hspace=0.6, wspace=0.4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45a93806",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-01-18T04:13:12.760763Z",
     "start_time": "2026-01-18T04:13:12.752629Z"
    }
   },
   "source": [
    "After fusion bias correction (V3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fd3d7ee0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:54:54.572668Z",
     "start_time": "2026-03-30T22:54:53.001295Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x250 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "models = ['Reh_RUNX1_B', 'Reh_DMSO_RUNX1', 'Nalm6_RUNX1', 'REH_RUNX1_rep1', 'REH_RUNX1_rep2']\n",
    "\n",
    "num_peaks = []\n",
    "correlations_after_bias_correction_V3 = []\n",
    "fig, axs = plt.subplots(1, 5, figsize=(16, 2.5))\n",
    "for i, model in enumerate(models):\n",
    "    mean_predictions_h5_file = f'/users/shouvikm/BPNet/fusion_deconvolution_V3/predictions/{model}_native/with_bias/mean_predictions.h5'\n",
    "    with h5py.File(mean_predictions_h5_file, \"r\") as f:\n",
    "        pred_logcounts = f[\"pred_logcounts\"][:]\n",
    "    # Reorder coords as true_logcounts regions may not be in the same order as mean h5 file\n",
    "    fold_0_predictions_h5_file = f'/users/shouvikm/BPNet/fusion_deconvolution_V3/predictions/{model}_native/with_bias/fold_0/model_split000_predictions.h5'\n",
    "    with h5py.File(fold_0_predictions_h5_file, \"r\") as f:\n",
    "        coords_chrom = f['coords/coords_chrom'][:]\n",
    "        coords_start = f['coords/coords_start'][:]\n",
    "        coords_end = f['coords/coords_end'][:]\n",
    "        true_logcounts = f[\"predictions/true_logcounts\"][:]\n",
    "        order = np.argsort([str(coords_chrom[i])+\"_\"+str(coords_start[i])+\"_\"+str(coords_end[i]) \n",
    "                            for i in range(coords_chrom.shape[0])])\n",
    "        true_logcounts = true_logcounts[order]\n",
    "    corr_plus = np.corrcoef(pred_logcounts[:, 0], true_logcounts[:, 0])\n",
    "    corr_minus = np.corrcoef(pred_logcounts[:, 1], true_logcounts[:, 1])\n",
    "    corr_avg = (corr_plus[0, 1] + corr_minus[0, 1])/2\n",
    "    correlations_after_bias_correction_V3.append(corr_avg)\n",
    "    ax = axs[i]\n",
    "    ax.scatter(pred_logcounts[:, 0], true_logcounts[:, 0], s=1, color='navy', alpha=0.3)\n",
    "    ax.scatter(pred_logcounts[:, 1], true_logcounts[:, 1], s=1, color='navy', alpha=0.3)\n",
    "    ax.axline((0, 0), slope=1, linestyle='--', color='gray')\n",
    "    ax.set_xlim([pred_logcounts.min(), pred_logcounts.max()])\n",
    "    ax.set_ylim([true_logcounts.min(), true_logcounts.max()])\n",
    "    ax.set_title(f'{model} \\n correlation: {corr_avg:.2f}', fontsize=11)\n",
    "    ax.set_xlabel('Predicted log counts')\n",
    "    ax.set_ylabel('Actual log counts')\n",
    "        \n",
    "    peak_file = glob.glob(f'/users/shouvikm/data/Cell_Lines_Ped_Leukemia/Reh/*/{model}/idr_peaks/peaks_inliers.bed')[0]\n",
    "    peaks = pd.read_csv(peak_file, sep='\\t')\n",
    "    num_peaks.append(peaks.shape[0])\n",
    "\n",
    "# plt.suptitle('Predicted vs actual log counts for Reh ChIP-seq BPNet models')\n",
    "plt.subplots_adjust(hspace=0.6, wspace=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "c8f94149",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-30T22:56:00.015907Z",
     "start_time": "2026-03-30T22:55:59.616095Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f9c5fb79610>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x550 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlations_before_after_bias_correction = {\n",
    "    'Before deconvolution': correlations_before_bias_correction,\n",
    "    'After deconvolution (V1)': correlations_after_bias_correction_V1,\n",
    "    'After deconvolution (V3)': correlations_after_bias_correction_V3\n",
    "}\n",
    "\n",
    "x = np.arange(len(models))  # the label locations\n",
    "width = 0.25  # the width of the bars\n",
    "multiplier = 0\n",
    "\n",
    "fig, ax = plt.subplots(layout='constrained', figsize=(6, 5.5), dpi=100)\n",
    "colors = ['lightblue', 'steelblue', 'navy']\n",
    "for label, correlations in correlations_before_after_bias_correction.items():\n",
    "    offset = width * multiplier\n",
    "    rects = ax.bar(x + offset, correlations, width, label=label, \n",
    "                   color=colors[multiplier])\n",
    "    multiplier += 1\n",
    "    \n",
    "ax.set_ylabel('Correlation')\n",
    "ax.set_title('Model performance before/after fusion deconvolution', \n",
    "             fontsize=12)\n",
    "ax.set_xticks(x + width, models, rotation=90)\n",
    "ax.legend(loc='upper center', bbox_to_anchor=(0.2, -0.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8f7238ae",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-02-04T22:48:15.179842Z",
     "start_time": "2026-02-04T22:48:15.173346Z"
    }
   },
   "outputs": [],
   "source": [
    "correlations_before_after_bias_correction = {\n",
    "    'Before bias correction': correlations_before_bias_correction,\n",
    "    'After bias correction': correlations_after_bias_correction\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b5b1f9a6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-02-04T22:51:54.585485Z",
     "start_time": "2026-02-04T22:51:54.577743Z"
    }
   },
   "outputs": [],
   "source": [
    "models_relabeled = {\n",
    "    'RUNX1 1': 'Reh_DMSO_RUNX1',\n",
    "    'RUNX1 2': 'Reh_RUNX1_B',\n",
    "    'RUNX1 3': 'REH_RUNX1_rep2',\n",
    "    'RUNX1 4': 'REH_RUNX1_rep1',\n",
    "    'RUNX1 5': 'Nalm6_RUNX1'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4037250c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-02-04T22:55:18.960796Z",
     "start_time": "2026-02-04T22:55:18.695582Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Correlation (predicted vs actual counts)')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 450x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3, 4), dpi=150)\n",
    "for model_new_label, model_old_label in models_relabeled.items():\n",
    "    model_index = models.index(model_old_label)\n",
    "    plt.plot(['Before', 'After'], \n",
    "             [correlations_before_after_bias_correction['Before bias correction'][model_index], \n",
    "              correlations_before_after_bias_correction['After bias correction'][model_index]], \n",
    "             marker='o', markersize=4, label=model_new_label)\n",
    "plt.ylim([0, 1])\n",
    "plt.legend(title='Native RUNX1 model', loc='lower right', fontsize=8, title_fontsize=8)\n",
    "plt.title('Model performance \\nbefore/after deconvolution', fontsize=10)\n",
    "plt.ylabel('Correlation (predicted vs actual counts)', fontsize=9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "742b5fc5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-01-18T22:23:12.378255Z",
     "start_time": "2026-01-18T22:23:12.247997Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4, 4))\n",
    "plt.scatter(num_peaks, correlations_after_bias_correction)\n",
    "plt.ylabel('Pearson correlation')\n",
    "plt.xlabel('Number of peaks')\n",
    "for i, model in enumerate(models):\n",
    "    plt.annotate(model, (num_peaks[i], correlations_after_bias_correction[i]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73340c4e",
   "metadata": {},
   "source": [
    "## Learned motifs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "68ecba7a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-23T23:12:32.542669Z",
     "start_time": "2026-03-23T23:12:32.534210Z"
    }
   },
   "outputs": [],
   "source": [
    "def path_to_image_html(path):\n",
    "    \"\"\"\n",
    "    Converts a file path or URL to an HTML image tag for display in a DataFrame.\n",
    "    \"\"\"\n",
    "    return f'<img src=\"{path}\" width=\"150\">'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d9bcde4b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-23T23:12:41.659391Z",
     "start_time": "2026-03-23T23:12:39.726102Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_54175_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >Nalm6_RUNX1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_54175_row0_col0\" class=\"data row0 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_0.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_54175_row1_col0\" class=\"data row1 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_1.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_54175_row2_col0\" class=\"data row2 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_2.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_54175_row3_col0\" class=\"data row3 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_3.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_54175_row4_col0\" class=\"data row4 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_4.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_54175_row5_col0\" class=\"data row5 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_5.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_54175_row6_col0\" class=\"data row6 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_6.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_54175_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_54175_row7_col0\" class=\"data row7 col0\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_7.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f9c60f4fcd0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = 'Nalm6_RUNX1'\n",
    "\n",
    "modisco_path = f'modisco/{model}_native/counts/trimmed_logos/*.cwm.fwd.png'\n",
    "num_motifs = len(glob.glob(modisco_path))\n",
    "num_motifs_to_show = max(5, num_motifs)\n",
    "\n",
    "motif_df = pd.DataFrame()\n",
    "motif_image_paths = []\n",
    "for i in range(num_motifs_to_show):\n",
    "    motif_image_path = f'modisco/{model}_native/counts/trimmed_logos/pos_patterns.pattern_{i}.cwm.fwd.png'\n",
    "    motif_image_paths.append(motif_image_path)\n",
    "\n",
    "motif_df[model] = motif_image_paths\n",
    "motif_df = motif_df.style.format(path_to_image_html)\n",
    "motif_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "6c8e77de",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-23T23:16:47.367524Z",
     "start_time": "2026-03-23T23:16:47.355791Z"
    }
   },
   "outputs": [],
   "source": [
    "def plot_motifs_table(models):\n",
    "    motif_df = pd.DataFrame(index=range(5), columns=models)\n",
    "    motif_df = motif_df.fillna('')\n",
    "    for model in models:\n",
    "        modisco_path = f'modisco/{model}_native/counts/trimmed_logos/*.cwm.fwd.png'\n",
    "        num_motifs = len(glob.glob(modisco_path))\n",
    "        num_motifs_to_show = min(5, num_motifs)   # show at most top 5 motifs\n",
    "        motif_image_paths = []\n",
    "        for i in range(num_motifs_to_show):\n",
    "            motif_image_path = f'modisco/{model}_native/counts/trimmed_logos/pos_patterns.pattern_{i}.cwm.fwd.png'\n",
    "            motif_df[model].iloc[i] = motif_image_path\n",
    "\n",
    "    motif_df = motif_df.style.format(path_to_image_html)\n",
    "    return motif_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "29d74c2f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-03-23T23:16:47.971030Z",
     "start_time": "2026-03-23T23:16:47.923401Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "</style>\n",
       "<table id=\"T_b5b77_\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >Reh_DMSO_RUNX1</th>\n",
       "      <th class=\"col_heading level0 col1\" >Reh_RUNX1_B</th>\n",
       "      <th class=\"col_heading level0 col2\" >REH_RUNX1_rep1</th>\n",
       "      <th class=\"col_heading level0 col3\" >REH_RUNX1_rep2</th>\n",
       "      <th class=\"col_heading level0 col4\" >Nalm6_RUNX1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_b5b77_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_b5b77_row0_col0\" class=\"data row0 col0\" ><img src=\"modisco/Reh_DMSO_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_0.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row0_col1\" class=\"data row0 col1\" ><img src=\"modisco/Reh_RUNX1_B_native/counts/trimmed_logos/pos_patterns.pattern_0.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row0_col2\" class=\"data row0 col2\" ><img src=\"modisco/REH_RUNX1_rep1_native/counts/trimmed_logos/pos_patterns.pattern_0.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row0_col3\" class=\"data row0 col3\" ><img src=\"modisco/REH_RUNX1_rep2_native/counts/trimmed_logos/pos_patterns.pattern_0.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row0_col4\" class=\"data row0 col4\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_0.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b5b77_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_b5b77_row1_col0\" class=\"data row1 col0\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row1_col1\" class=\"data row1 col1\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row1_col2\" class=\"data row1 col2\" ><img src=\"modisco/REH_RUNX1_rep1_native/counts/trimmed_logos/pos_patterns.pattern_1.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row1_col3\" class=\"data row1 col3\" ><img src=\"modisco/REH_RUNX1_rep2_native/counts/trimmed_logos/pos_patterns.pattern_1.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row1_col4\" class=\"data row1 col4\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_1.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b5b77_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_b5b77_row2_col0\" class=\"data row2 col0\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row2_col1\" class=\"data row2 col1\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row2_col2\" class=\"data row2 col2\" ><img src=\"modisco/REH_RUNX1_rep1_native/counts/trimmed_logos/pos_patterns.pattern_2.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row2_col3\" class=\"data row2 col3\" ><img src=\"modisco/REH_RUNX1_rep2_native/counts/trimmed_logos/pos_patterns.pattern_2.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row2_col4\" class=\"data row2 col4\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_2.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b5b77_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_b5b77_row3_col0\" class=\"data row3 col0\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row3_col1\" class=\"data row3 col1\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row3_col2\" class=\"data row3 col2\" ><img src=\"modisco/REH_RUNX1_rep1_native/counts/trimmed_logos/pos_patterns.pattern_3.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row3_col3\" class=\"data row3 col3\" ><img src=\"modisco/REH_RUNX1_rep2_native/counts/trimmed_logos/pos_patterns.pattern_3.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row3_col4\" class=\"data row3 col4\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_3.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b5b77_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_b5b77_row4_col0\" class=\"data row4 col0\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row4_col1\" class=\"data row4 col1\" ><img src=\"\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row4_col2\" class=\"data row4 col2\" ><img src=\"modisco/REH_RUNX1_rep1_native/counts/trimmed_logos/pos_patterns.pattern_4.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row4_col3\" class=\"data row4 col3\" ><img src=\"modisco/REH_RUNX1_rep2_native/counts/trimmed_logos/pos_patterns.pattern_4.cwm.fwd.png\" width=\"150\"></td>\n",
       "      <td id=\"T_b5b77_row4_col4\" class=\"data row4 col4\" ><img src=\"modisco/Nalm6_RUNX1_native/counts/trimmed_logos/pos_patterns.pattern_4.cwm.fwd.png\" width=\"150\"></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f9c61aecc90>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "native_runx1_models = ['Reh_DMSO_RUNX1', 'Reh_RUNX1_B', 'REH_RUNX1_rep1', 'REH_RUNX1_rep2',\n",
    "                       'Nalm6_RUNX1']\n",
    "plot_motifs_table(native_runx1_models)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d98013c2",
   "metadata": {},
   "source": [
    "## Model parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d8f7e0fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"custom_model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "sequence (InputLayer)           [(None, 2114, 4)]    0                                            \n",
      "__________________________________________________________________________________________________\n",
      "main_conv_0 (Conv1D)            (None, 2094, 64)     5440        sequence[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "main_conv_0_relu (ReLU)         (None, 2094, 64)     0           main_conv_0[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_1 (Conv1D)        (None, 2090, 64)     12352       main_conv_0_relu[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "main_conv_0_cr (Cropping1D)     (None, 2090, 64)     0           main_conv_0[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "main_add_1 (Add)                (None, 2090, 64)     0           main_dil_conv_1[0][0]            \n",
      "                                                                 main_conv_0_cr[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "main_add_1_relu (ReLU)          (None, 2090, 64)     0           main_add_1[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_2 (Conv1D)        (None, 2082, 64)     12352       main_add_1_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_1_cr (Cropping1D)      (None, 2082, 64)     0           main_add_1[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_2 (Add)                (None, 2082, 64)     0           main_dil_conv_2[0][0]            \n",
      "                                                                 main_add_1_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_2_relu (ReLU)          (None, 2082, 64)     0           main_add_2[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_3 (Conv1D)        (None, 2066, 64)     12352       main_add_2_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_2_cr (Cropping1D)      (None, 2066, 64)     0           main_add_2[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_3 (Add)                (None, 2066, 64)     0           main_dil_conv_3[0][0]            \n",
      "                                                                 main_add_2_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_3_relu (ReLU)          (None, 2066, 64)     0           main_add_3[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_4 (Conv1D)        (None, 2034, 64)     12352       main_add_3_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_3_cr (Cropping1D)      (None, 2034, 64)     0           main_add_3[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_4 (Add)                (None, 2034, 64)     0           main_dil_conv_4[0][0]            \n",
      "                                                                 main_add_3_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_4_relu (ReLU)          (None, 2034, 64)     0           main_add_4[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_5 (Conv1D)        (None, 1970, 64)     12352       main_add_4_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_4_cr (Cropping1D)      (None, 1970, 64)     0           main_add_4[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_5 (Add)                (None, 1970, 64)     0           main_dil_conv_5[0][0]            \n",
      "                                                                 main_add_4_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_5_relu (ReLU)          (None, 1970, 64)     0           main_add_5[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_6 (Conv1D)        (None, 1842, 64)     12352       main_add_5_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_5_cr (Cropping1D)      (None, 1842, 64)     0           main_add_5[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_6 (Add)                (None, 1842, 64)     0           main_dil_conv_6[0][0]            \n",
      "                                                                 main_add_5_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_6_relu (ReLU)          (None, 1842, 64)     0           main_add_6[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_7 (Conv1D)        (None, 1586, 64)     12352       main_add_6_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_6_cr (Cropping1D)      (None, 1586, 64)     0           main_add_6[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_7 (Add)                (None, 1586, 64)     0           main_dil_conv_7[0][0]            \n",
      "                                                                 main_add_6_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_7_relu (ReLU)          (None, 1586, 64)     0           main_add_7[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_dil_conv_8 (Conv1D)        (None, 1074, 64)     12352       main_add_7_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_add_7_cr (Cropping1D)      (None, 1074, 64)     0           main_add_7[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_add_8 (Add)                (None, 1074, 64)     0           main_dil_conv_8[0][0]            \n",
      "                                                                 main_add_7_cr[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "main_add_8_relu (ReLU)          (None, 1074, 64)     0           main_add_8[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "main_profile_head (Conv1D)      (None, 1000, 2)      9602        main_add_8_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "main_global_avg_pooling (Global (None, 64)           0           main_add_8_relu[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "counts_bias_input_0 (InputLayer [(None, 2)]          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "main_profile_head_cropped (Crop (None, 1000, 2)      0           main_profile_head[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "profile_bias_input_0 (InputLaye [(None, 1000, 2)]    0                                            \n",
      "__________________________________________________________________________________________________\n",
      "main_counts_head (Dense)        (None, 1)            65          main_global_avg_pooling[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "main_logsumexp_counts_bias_0 (L (None, 1)            0           counts_bias_input_0[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "main_concat_with_prof_bias_0 (C (None, 1000, 4)      0           main_profile_head_cropped[0][0]  \n",
      "                                                                 profile_bias_input_0[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "main_concat_with_counts_bias_0  (None, 2)            0           main_counts_head[0][0]           \n",
      "                                                                 main_logsumexp_counts_bias_0[0][0\n",
      "__________________________________________________________________________________________________\n",
      "profile_predictions (Conv1D)    (None, 1000, 2)      10          main_concat_with_prof_bias_0[0][0\n",
      "__________________________________________________________________________________________________\n",
      "logcounts_predictions (Dense)   (None, 1)            3           main_concat_with_counts_bias_0[0]\n",
      "==================================================================================================\n",
      "Total params: 113,936\n",
      "Trainable params: 113,936\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = 'Reh_RUNX1_B'\n",
    "fold = 0\n",
    "model_file = f\"models/{model}_native/fold_{fold}/model_split000\"\n",
    "bpnet = load_model(model_file)\n",
    "bpnet.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2446bd8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "logcounts_predictions layer config:\n",
      "{'name': 'logcounts_predictions', 'trainable': True, 'dtype': 'float32', 'units': 1, 'activation': 'linear', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}\n",
      "\n",
      "logcounts_predictions layer weights:\n",
      "(2, 1)\n",
      "[[-0.14670818]\n",
      " [ 0.92385316]]\n",
      "(1,)\n",
      "[0.0313548]\n"
     ]
    }
   ],
   "source": [
    "logcounts_layer = bpnet.get_layer('logcounts_predictions')\n",
    "print(\"logcounts_predictions layer config:\")\n",
    "print(logcounts_layer.get_config())\n",
    "print(\"\\nlogcounts_predictions layer weights:\")\n",
    "for w in logcounts_layer.get_weights():\n",
    "    print(w.shape)\n",
    "    print(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b9078e3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "profile_predictions layer config:\n",
      "{'name': 'profile_predictions', 'trainable': True, 'dtype': 'float32', 'filters': 2, 'kernel_size': (1,), 'strides': (1,), 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': (1,), 'groups': 1, 'activation': 'linear', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}\n",
      "\n",
      "profile_predictions layer weights:\n",
      "(1, 4, 2)\n",
      "[[[-0.6591786   0.61459714]\n",
      "  [ 0.01507794  0.38592035]\n",
      "  [ 0.37311947  0.869633  ]\n",
      "  [-0.36324635  0.648293  ]]]\n",
      "(2,)\n",
      "[ 0.00311118 -0.00311062]\n"
     ]
    }
   ],
   "source": [
    "profile_layer = bpnet.get_layer('profile_predictions')\n",
    "print(\"profile_predictions layer config:\")\n",
    "print(profile_layer.get_config())\n",
    "print(\"\\nprofile_predictions layer weights:\")\n",
    "for w in profile_layer.get_weights():\n",
    "    print(w.shape)\n",
    "    print(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "10156809",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reh_DMSO_RUNX1\n",
      "logcounts_predictions layer weights:\n",
      "[[-0.14647992]\n",
      " [ 0.6302814 ]]\n",
      "\n",
      "Reh_RUNX1_B\n",
      "logcounts_predictions layer weights:\n",
      "[[-0.14670818]\n",
      " [ 0.92385316]]\n",
      "\n",
      "REH_RUNX1_rep1\n",
      "logcounts_predictions layer weights:\n",
      "[[-0.13394347]\n",
      " [ 0.5550168 ]]\n",
      "\n",
      "REH_RUNX1_rep2\n",
      "logcounts_predictions layer weights:\n",
      "[[-0.156961 ]\n",
      " [ 0.7335398]]\n",
      "\n",
      "Nalm6_RUNX1\n",
      "logcounts_predictions layer weights:\n",
      "[[-0.21128343]\n",
      " [ 1.0749996 ]]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "native_runx1_models = ['Reh_DMSO_RUNX1', 'Reh_RUNX1_B', 'REH_RUNX1_rep1', 'REH_RUNX1_rep2',\n",
    "                       'Nalm6_RUNX1']\n",
    "fold = 0\n",
    "for model in native_runx1_models:\n",
    "    print(model)\n",
    "    model_file = f\"models/{model}_native/fold_{fold}/model_split000\"\n",
    "    bpnet = load_model(model_file)\n",
    "    logcounts_layer = bpnet.get_layer('logcounts_predictions')\n",
    "    print(\"logcounts_predictions layer weights:\")\n",
    "    w = logcounts_layer.get_weights()[0]\n",
    "    print(w)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f4dd19d",
   "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>Reh_DMSO_RUNX1</th>\n",
       "      <th>Reh_RUNX1_B</th>\n",
       "      <th>REH_RUNX1_rep1</th>\n",
       "      <th>REH_RUNX1_rep2</th>\n",
       "      <th>Nalm6_RUNX1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weight_sequence</th>\n",
       "      <td>-0.146480</td>\n",
       "      <td>-0.146708</td>\n",
       "      <td>-0.133943</td>\n",
       "      <td>-0.156961</td>\n",
       "      <td>-0.211283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight_fusion</th>\n",
       "      <td>0.630281</td>\n",
       "      <td>0.923853</td>\n",
       "      <td>0.555017</td>\n",
       "      <td>0.733540</td>\n",
       "      <td>1.075000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Reh_DMSO_RUNX1  Reh_RUNX1_B  REH_RUNX1_rep1  REH_RUNX1_rep2  \\\n",
       "weight_sequence       -0.146480    -0.146708       -0.133943       -0.156961   \n",
       "weight_fusion          0.630281     0.923853        0.555017        0.733540   \n",
       "\n",
       "                 Nalm6_RUNX1  \n",
       "weight_sequence    -0.211283  \n",
       "weight_fusion       1.075000  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Collect logcounts_predictions weights for all models\n",
    "weight_dict = {}\n",
    "for model in native_runx1_models:\n",
    "    model_file = f\"models/{model}_native/fold_{fold}/model_split000\"\n",
    "    bpnet = load_model(model_file)\n",
    "    logcounts_layer = bpnet.get_layer('logcounts_predictions')\n",
    "    # Use flatten for 1D representation, if array is not 1D\n",
    "    weights = logcounts_layer.get_weights()[0]\n",
    "    weight_flat = weights.flatten()\n",
    "    weight_dict[model] = weight_flat\n",
    "\n",
    "weights_df = pd.DataFrame(weight_dict)\n",
    "weights_df.index = ['weight_sequence', 'weight_fusion']\n",
    "weights_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d0c2488",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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