examples/smile_upscaling/clip-vit-large-patch14.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "from collections import defaultdict\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "\n",
    "\n",
    "plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
    "plt.rcParams[\"mathtext.fontset\"] = \"cm\"\n",
    "\n",
    "matplotlib.rcParams[\"pdf.fonttype\"] = 42\n",
    "matplotlib.rcParams[\"ps.fonttype\"] = 42"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "baselines = pd.DataFrame(\n",
    "    {\n",
    "        \"method\": [\n",
    "            \"Pretrained\",\n",
    "            # \"Individuals\",\n",
    "            \"Simple Average\",\n",
    "            \"Task Arithmetic\",\n",
    "            \"Ties-Merging\",\n",
    "            \"Fisher Merging\",\n",
    "            \"RegMean\",\n",
    "            \"Layer-Wise AdaMerging\",\n",
    "            \"Weight-Ensembling MoE\",\n",
    "        ],\n",
    "        \"average\": [\n",
    "            64.6,\n",
    "            #\n",
    "            80.0,\n",
    "            80.7,\n",
    "            84.0,\n",
    "            80.3,\n",
    "            88.8,\n",
    "            91.0,\n",
    "            93.8,\n",
    "        ],\n",
    "        \"num_params\": [\n",
    "            303179776,\n",
    "            # 303179776\n",
    "            303179776,\n",
    "            303179776,\n",
    "            303179776,\n",
    "            303179776,\n",
    "            303179776,\n",
    "            303179776,\n",
    "            1.94 * 1000_000_000\n",
    "        ],\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row9_col7, #T_462d7_row10_col9, #T_462d7_row18_col5, #T_462d7_row18_col10, #T_462d7_row32_col10 {\n",
       "  background-color: #54b45f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row9_col8, #T_462d7_row17_col5 {\n",
       "  background-color: #87cb67;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row9_col10 {\n",
       "  background-color: #feda86;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row10_col4, #T_462d7_row38_col4 {\n",
       "  background-color: #75c465;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row10_col8, #T_462d7_row23_col8, #T_462d7_row31_col5, #T_462d7_row31_col11, #T_462d7_row39_col4 {\n",
       "  background-color: #30a356;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row10_col10 {\n",
       "  background-color: #d7ee8a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row10_col11, #T_462d7_row37_col5 {\n",
       "  background-color: #78c565;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row11_col3, #T_462d7_row12_col3 {\n",
       "  background-color: #016a38;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row11_col4 {\n",
       "  background-color: #36a657;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row11_col5 {\n",
       "  background-color: #b9e176;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row11_col8, #T_462d7_row25_col5, #T_462d7_row38_col9 {\n",
       "  background-color: #219c52;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row12_col5, #T_462d7_row23_col9, #T_462d7_row23_col11 {\n",
       "  background-color: #9dd569;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row12_col6, #T_462d7_row19_col5, #T_462d7_row31_col9 {\n",
       "  background-color: #33a456;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row12_col7, #T_462d7_row24_col7, #T_462d7_row33_col9 {\n",
       "  background-color: #097940;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row12_col9, #T_462d7_row25_col11, #T_462d7_row26_col10 {\n",
       "  background-color: #138c4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row12_col10, #T_462d7_row26_col6, #T_462d7_row37_col7 {\n",
       "  background-color: #17934e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row13_col6, #T_462d7_row37_col6, #T_462d7_row38_col11 {\n",
       "  background-color: #2da155;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row13_col7, #T_462d7_row17_col3, #T_462d7_row20_col9, #T_462d7_row20_col11, #T_462d7_row40_col11 {\n",
       "  background-color: #07753e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row14_col1, #T_462d7_row15_col1, #T_462d7_row16_col1, #T_462d7_row17_col1, #T_462d7_row18_col1, #T_462d7_row19_col1, #T_462d7_row20_col1, #T_462d7_row32_col0 {\n",
       "  background-color: #d42d27;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row14_col5, #T_462d7_row21_col1, #T_462d7_row22_col1, #T_462d7_row23_col1, #T_462d7_row24_col1, #T_462d7_row25_col1, #T_462d7_row26_col1, #T_462d7_row27_col1 {\n",
       "  background-color: #f67c4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row14_col7 {\n",
       "  background-color: #feefa3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row14_col8 {\n",
       "  background-color: #e44c34;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row14_col9 {\n",
       "  background-color: #d83128;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row14_col11, #T_462d7_row22_col10 {\n",
       "  background-color: #f36b42;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row15_col0, #T_462d7_row22_col0, #T_462d7_row28_col0 {\n",
       "  background-color: #a90426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row15_col3 {\n",
       "  background-color: #96d268;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row15_col6 {\n",
       "  background-color: #9bd469;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row15_col8, #T_462d7_row38_col10 {\n",
       "  background-color: #d9ef8b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row15_col9 {\n",
       "  background-color: #feec9f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row15_col11, #T_462d7_row35_col6 {\n",
       "  background-color: #fff8b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row16_col4 {\n",
       "  background-color: #c9e881;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row16_col5 {\n",
       "  background-color: #dff293;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row16_col7, #T_462d7_row16_col8, #T_462d7_row32_col4 {\n",
       "  background-color: #2aa054;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row16_col11, #T_462d7_row37_col9 {\n",
       "  background-color: #a9da6c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row17_col4, #T_462d7_row24_col4, #T_462d7_row31_col4, #T_462d7_row36_col8 {\n",
       "  background-color: #6bbf64;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row18_col3, #T_462d7_row19_col7, #T_462d7_row25_col7, #T_462d7_row27_col0, #T_462d7_row31_col3, #T_462d7_row33_col8, #T_462d7_row34_col8, #T_462d7_row38_col8 {\n",
       "  background-color: #04703b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row18_col6, #T_462d7_row19_col6, #T_462d7_row20_col6, #T_462d7_row25_col6 {\n",
       "  background-color: #249d53;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row18_col7, #T_462d7_row24_col3, #T_462d7_row31_col8, #T_462d7_row32_col8, #T_462d7_row38_col3, #T_462d7_row39_col7, #T_462d7_row40_col5, #T_462d7_row41_col9 {\n",
       "  background-color: #06733d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row18_col8, #T_462d7_row19_col4, #T_462d7_row19_col8, #T_462d7_row39_col5 {\n",
       "  background-color: #0d8044;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row19_col3, #T_462d7_row20_col4, #T_462d7_row20_col7, #T_462d7_row26_col7, #T_462d7_row27_col3, #T_462d7_row27_col4, #T_462d7_row27_col9, #T_462d7_row27_col11, #T_462d7_row33_col3, #T_462d7_row34_col0, #T_462d7_row34_col3, #T_462d7_row34_col4, #T_462d7_row34_col7, #T_462d7_row40_col3, #T_462d7_row40_col8, #T_462d7_row41_col3 {\n",
       "  background-color: #026c39;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row19_col11, #T_462d7_row32_col11, #T_462d7_row39_col11 {\n",
       "  background-color: #108647;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row21_col3 {\n",
       "  background-color: #fed07e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row21_col4 {\n",
       "  background-color: #cc2627;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row21_col5 {\n",
       "  background-color: #fdaf62;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row21_col7, #T_462d7_row36_col9 {\n",
       "  background-color: #fff5ae;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row21_col8, #T_462d7_row35_col4 {\n",
       "  background-color: #dd3d2d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row21_col9 {\n",
       "  background-color: #e14430;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row21_col10 {\n",
       "  background-color: #bd1726;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row21_col11 {\n",
       "  background-color: #f7844e;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row22_col3 {\n",
       "  background-color: #89cc67;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row22_col5 {\n",
       "  background-color: #fffdbc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row22_col6, #T_462d7_row29_col3 {\n",
       "  background-color: #70c164;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row22_col8, #T_462d7_row30_col9 {\n",
       "  background-color: #addc6f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row22_col9, #T_462d7_row28_col7 {\n",
       "  background-color: #fff7b2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row22_col11 {\n",
       "  background-color: #f8fcb6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row23_col0, #T_462d7_row35_col0 {\n",
       "  background-color: #af0926;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row23_col4 {\n",
       "  background-color: #ddf191;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row23_col5 {\n",
       "  background-color: #b3df72;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row24_col10 {\n",
       "  background-color: #c3e67d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row25_col0 {\n",
       "  background-color: #d22b27;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row26_col0 {\n",
       "  background-color: #ef633f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row26_col3, #T_462d7_row32_col3, #T_462d7_row33_col7, #T_462d7_row39_col3, #T_462d7_row41_col7 {\n",
       "  background-color: #036e3a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row27_col5, #T_462d7_row40_col4 {\n",
       "  background-color: #0e8245;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row28_col1, #T_462d7_row29_col1, #T_462d7_row30_col1, #T_462d7_row31_col1, #T_462d7_row32_col1, #T_462d7_row33_col1, #T_462d7_row34_col1 {\n",
       "  background-color: #fffab6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row28_col3 {\n",
       "  background-color: #fee695;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row28_col4, #T_462d7_row28_col9, #T_462d7_row39_col0 {\n",
       "  background-color: #d93429;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row28_col5 {\n",
       "  background-color: #feca79;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row28_col6 {\n",
       "  background-color: #fffcba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row28_col8, #T_462d7_row40_col0 {\n",
       "  background-color: #f46d43;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row28_col11, #T_462d7_row35_col11 {\n",
       "  background-color: #f88c51;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row29_col4 {\n",
       "  background-color: #fed884;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row29_col7 {\n",
       "  background-color: #7dc765;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row29_col9 {\n",
       "  background-color: #fff0a6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row29_col11 {\n",
       "  background-color: #f2faae;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row30_col0, #T_462d7_row36_col0 {\n",
       "  background-color: #b30d26;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row30_col4, #T_462d7_row37_col4 {\n",
       "  background-color: #d3ec87;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row30_col5 {\n",
       "  background-color: #82c966;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row31_col10 {\n",
       "  background-color: #c7e77f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row32_col5 {\n",
       "  background-color: #128a49;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row33_col0 {\n",
       "  background-color: #f16640;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row35_col3 {\n",
       "  background-color: #fff1a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row35_col5 {\n",
       "  background-color: #fec877;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row35_col7 {\n",
       "  background-color: #fdfebc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row35_col8 {\n",
       "  background-color: #f99355;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row36_col4 {\n",
       "  background-color: #fed27f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row36_col5 {\n",
       "  background-color: #e2f397;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row36_col7 {\n",
       "  background-color: #6ec064;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row36_col10 {\n",
       "  background-color: #ec5c3b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_462d7_row36_col11 {\n",
       "  background-color: #eef8a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row37_col11 {\n",
       "  background-color: #8ecf67;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_462d7_row38_col0 {\n",
       "  background-color: #c41e27;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_462d7\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_462d7_level0_col0\" class=\"col_heading level0 col0\" >num_params</th>\n",
       "      <th id=\"T_462d7_level0_col1\" class=\"col_heading level0 col1\" >gate_k</th>\n",
       "      <th id=\"T_462d7_level0_col2\" class=\"col_heading level0 col2\" >k</th>\n",
       "      <th id=\"T_462d7_level0_col3\" class=\"col_heading level0 col3\" >svhn</th>\n",
       "      <th id=\"T_462d7_level0_col4\" class=\"col_heading level0 col4\" >stanford_cars</th>\n",
       "      <th id=\"T_462d7_level0_col5\" class=\"col_heading level0 col5\" >resisc45</th>\n",
       "      <th id=\"T_462d7_level0_col6\" class=\"col_heading level0 col6\" >eurosat</th>\n",
       "      <th id=\"T_462d7_level0_col7\" class=\"col_heading level0 col7\" >gtsrb</th>\n",
       "      <th id=\"T_462d7_level0_col8\" class=\"col_heading level0 col8\" >mnist</th>\n",
       "      <th id=\"T_462d7_level0_col9\" class=\"col_heading level0 col9\" >dtd</th>\n",
       "      <th id=\"T_462d7_level0_col10\" class=\"col_heading level0 col10\" >sun397</th>\n",
       "      <th id=\"T_462d7_level0_col11\" class=\"col_heading level0 col11\" >average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_462d7_row0_col0\" class=\"data row0 col0\" >320653312</td>\n",
       "      <td id=\"T_462d7_row0_col1\" class=\"data row0 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row0_col2\" class=\"data row0 col2\" >4</td>\n",
       "      <td id=\"T_462d7_row0_col3\" class=\"data row0 col3\" >0.937846</td>\n",
       "      <td id=\"T_462d7_row0_col4\" class=\"data row0 col4\" >0.834846</td>\n",
       "      <td id=\"T_462d7_row0_col5\" class=\"data row0 col5\" >0.826825</td>\n",
       "      <td id=\"T_462d7_row0_col6\" class=\"data row0 col6\" >0.971111</td>\n",
       "      <td id=\"T_462d7_row0_col7\" class=\"data row0 col7\" >0.874347</td>\n",
       "      <td id=\"T_462d7_row0_col8\" class=\"data row0 col8\" >0.985400</td>\n",
       "      <td id=\"T_462d7_row0_col9\" class=\"data row0 col9\" >0.696277</td>\n",
       "      <td id=\"T_462d7_row0_col10\" class=\"data row0 col10\" >0.752594</td>\n",
       "      <td id=\"T_462d7_row0_col11\" class=\"data row0 col11\" >85.990582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_462d7_row1_col0\" class=\"data row1 col0\" >334809088</td>\n",
       "      <td id=\"T_462d7_row1_col1\" class=\"data row1 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row1_col2\" class=\"data row1 col2\" >8</td>\n",
       "      <td id=\"T_462d7_row1_col3\" class=\"data row1 col3\" >0.959473</td>\n",
       "      <td id=\"T_462d7_row1_col4\" class=\"data row1 col4\" >0.859222</td>\n",
       "      <td id=\"T_462d7_row1_col5\" class=\"data row1 col5\" >0.852857</td>\n",
       "      <td id=\"T_462d7_row1_col6\" class=\"data row1 col6\" >0.982963</td>\n",
       "      <td id=\"T_462d7_row1_col7\" class=\"data row1 col7\" >0.922328</td>\n",
       "      <td id=\"T_462d7_row1_col8\" class=\"data row1 col8\" >0.992200</td>\n",
       "      <td id=\"T_462d7_row1_col9\" class=\"data row1 col9\" >0.744149</td>\n",
       "      <td id=\"T_462d7_row1_col10\" class=\"data row1 col10\" >0.761209</td>\n",
       "      <td id=\"T_462d7_row1_col11\" class=\"data row1 col11\" >88.430005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_462d7_row2_col0\" class=\"data row2 col0\" >363120640</td>\n",
       "      <td id=\"T_462d7_row2_col1\" class=\"data row2 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row2_col2\" class=\"data row2 col2\" >16</td>\n",
       "      <td id=\"T_462d7_row2_col3\" class=\"data row2 col3\" >0.971420</td>\n",
       "      <td id=\"T_462d7_row2_col4\" class=\"data row2 col4\" >0.888944</td>\n",
       "      <td id=\"T_462d7_row2_col5\" class=\"data row2 col5\" >0.875238</td>\n",
       "      <td id=\"T_462d7_row2_col6\" class=\"data row2 col6\" >0.988148</td>\n",
       "      <td id=\"T_462d7_row2_col7\" class=\"data row2 col7\" >0.952336</td>\n",
       "      <td id=\"T_462d7_row2_col8\" class=\"data row2 col8\" >0.994800</td>\n",
       "      <td id=\"T_462d7_row2_col9\" class=\"data row2 col9\" >0.782447</td>\n",
       "      <td id=\"T_462d7_row2_col10\" class=\"data row2 col10\" >0.775416</td>\n",
       "      <td id=\"T_462d7_row2_col11\" class=\"data row2 col11\" >90.359354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_462d7_row3_col0\" class=\"data row3 col0\" >419743744</td>\n",
       "      <td id=\"T_462d7_row3_col1\" class=\"data row3 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row3_col2\" class=\"data row3 col2\" >32</td>\n",
       "      <td id=\"T_462d7_row3_col3\" class=\"data row3 col3\" >0.975876</td>\n",
       "      <td id=\"T_462d7_row3_col4\" class=\"data row3 col4\" >0.905111</td>\n",
       "      <td id=\"T_462d7_row3_col5\" class=\"data row3 col5\" >0.903175</td>\n",
       "      <td id=\"T_462d7_row3_col6\" class=\"data row3 col6\" >0.988148</td>\n",
       "      <td id=\"T_462d7_row3_col7\" class=\"data row3 col7\" >0.968329</td>\n",
       "      <td id=\"T_462d7_row3_col8\" class=\"data row3 col8\" >0.995900</td>\n",
       "      <td id=\"T_462d7_row3_col9\" class=\"data row3 col9\" >0.805319</td>\n",
       "      <td id=\"T_462d7_row3_col10\" class=\"data row3 col10\" >0.791083</td>\n",
       "      <td id=\"T_462d7_row3_col11\" class=\"data row3 col11\" >91.661768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_462d7_row4_col0\" class=\"data row4 col0\" >532989952</td>\n",
       "      <td id=\"T_462d7_row4_col1\" class=\"data row4 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row4_col2\" class=\"data row4 col2\" >64</td>\n",
       "      <td id=\"T_462d7_row4_col3\" class=\"data row4 col3\" >0.977528</td>\n",
       "      <td id=\"T_462d7_row4_col4\" class=\"data row4 col4\" >0.914438</td>\n",
       "      <td id=\"T_462d7_row4_col5\" class=\"data row4 col5\" >0.914762</td>\n",
       "      <td id=\"T_462d7_row4_col6\" class=\"data row4 col6\" >0.988889</td>\n",
       "      <td id=\"T_462d7_row4_col7\" class=\"data row4 col7\" >0.976960</td>\n",
       "      <td id=\"T_462d7_row4_col8\" class=\"data row4 col8\" >0.996500</td>\n",
       "      <td id=\"T_462d7_row4_col9\" class=\"data row4 col9\" >0.816489</td>\n",
       "      <td id=\"T_462d7_row4_col10\" class=\"data row4 col10\" >0.804282</td>\n",
       "      <td id=\"T_462d7_row4_col11\" class=\"data row4 col11\" >92.373101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_462d7_row5_col0\" class=\"data row5 col0\" >759482368</td>\n",
       "      <td id=\"T_462d7_row5_col1\" class=\"data row5 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row5_col2\" class=\"data row5 col2\" >128</td>\n",
       "      <td id=\"T_462d7_row5_col3\" class=\"data row5 col3\" >0.978027</td>\n",
       "      <td id=\"T_462d7_row5_col4\" class=\"data row5 col4\" >0.919413</td>\n",
       "      <td id=\"T_462d7_row5_col5\" class=\"data row5 col5\" >0.917778</td>\n",
       "      <td id=\"T_462d7_row5_col6\" class=\"data row5 col6\" >0.989259</td>\n",
       "      <td id=\"T_462d7_row5_col7\" class=\"data row5 col7\" >0.979889</td>\n",
       "      <td id=\"T_462d7_row5_col8\" class=\"data row5 col8\" >0.996400</td>\n",
       "      <td id=\"T_462d7_row5_col9\" class=\"data row5 col9\" >0.820213</td>\n",
       "      <td id=\"T_462d7_row5_col10\" class=\"data row5 col10\" >0.813350</td>\n",
       "      <td id=\"T_462d7_row5_col11\" class=\"data row5 col11\" >92.679115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_462d7_row6_col0\" class=\"data row6 col0\" >2722416640</td>\n",
       "      <td id=\"T_462d7_row6_col1\" class=\"data row6 col1\" >1</td>\n",
       "      <td id=\"T_462d7_row6_col2\" class=\"data row6 col2\" >-1</td>\n",
       "      <td id=\"T_462d7_row6_col3\" class=\"data row6 col3\" >0.978258</td>\n",
       "      <td id=\"T_462d7_row6_col4\" class=\"data row6 col4\" >0.923268</td>\n",
       "      <td id=\"T_462d7_row6_col5\" class=\"data row6 col5\" >0.921270</td>\n",
       "      <td id=\"T_462d7_row6_col6\" class=\"data row6 col6\" >0.990000</td>\n",
       "      <td id=\"T_462d7_row6_col7\" class=\"data row6 col7\" >0.981314</td>\n",
       "      <td id=\"T_462d7_row6_col8\" class=\"data row6 col8\" >0.996400</td>\n",
       "      <td id=\"T_462d7_row6_col9\" class=\"data row6 col9\" >0.827128</td>\n",
       "      <td id=\"T_462d7_row6_col10\" class=\"data row6 col10\" >0.823224</td>\n",
       "      <td id=\"T_462d7_row6_col11\" class=\"data row6 col11\" >93.010772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_462d7_row7_col0\" class=\"data row7 col0\" >322422784</td>\n",
       "      <td id=\"T_462d7_row7_col1\" class=\"data row7 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row7_col2\" class=\"data row7 col2\" >4</td>\n",
       "      <td id=\"T_462d7_row7_col3\" class=\"data row7 col3\" >0.953980</td>\n",
       "      <td id=\"T_462d7_row7_col4\" class=\"data row7 col4\" >0.840443</td>\n",
       "      <td id=\"T_462d7_row7_col5\" class=\"data row7 col5\" >0.836667</td>\n",
       "      <td id=\"T_462d7_row7_col6\" class=\"data row7 col6\" >0.958889</td>\n",
       "      <td id=\"T_462d7_row7_col7\" class=\"data row7 col7\" >0.911797</td>\n",
       "      <td id=\"T_462d7_row7_col8\" class=\"data row7 col8\" >0.986000</td>\n",
       "      <td id=\"T_462d7_row7_col9\" class=\"data row7 col9\" >0.709043</td>\n",
       "      <td id=\"T_462d7_row7_col10\" class=\"data row7 col10\" >0.755819</td>\n",
       "      <td id=\"T_462d7_row7_col11\" class=\"data row7 col11\" >86.907956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "      <td id=\"T_462d7_row8_col0\" class=\"data row8 col0\" >336578560</td>\n",
       "      <td id=\"T_462d7_row8_col1\" class=\"data row8 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row8_col2\" class=\"data row8 col2\" >8</td>\n",
       "      <td id=\"T_462d7_row8_col3\" class=\"data row8 col3\" >0.968654</td>\n",
       "      <td id=\"T_462d7_row8_col4\" class=\"data row8 col4\" >0.865067</td>\n",
       "      <td id=\"T_462d7_row8_col5\" class=\"data row8 col5\" >0.858254</td>\n",
       "      <td id=\"T_462d7_row8_col6\" class=\"data row8 col6\" >0.977407</td>\n",
       "      <td id=\"T_462d7_row8_col7\" class=\"data row8 col7\" >0.947268</td>\n",
       "      <td id=\"T_462d7_row8_col8\" class=\"data row8 col8\" >0.991400</td>\n",
       "      <td id=\"T_462d7_row8_col9\" class=\"data row8 col9\" >0.757979</td>\n",
       "      <td id=\"T_462d7_row8_col10\" class=\"data row8 col10\" >0.765945</td>\n",
       "      <td id=\"T_462d7_row8_col11\" class=\"data row8 col11\" >89.149670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "      <td id=\"T_462d7_row9_col0\" class=\"data row9 col0\" >364890112</td>\n",
       "      <td id=\"T_462d7_row9_col1\" class=\"data row9 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row9_col2\" class=\"data row9 col2\" >16</td>\n",
       "      <td id=\"T_462d7_row9_col3\" class=\"data row9 col3\" >0.976068</td>\n",
       "      <td id=\"T_462d7_row9_col4\" class=\"data row9 col4\" >0.891307</td>\n",
       "      <td id=\"T_462d7_row9_col5\" class=\"data row9 col5\" >0.880159</td>\n",
       "      <td id=\"T_462d7_row9_col6\" class=\"data row9 col6\" >0.985926</td>\n",
       "      <td id=\"T_462d7_row9_col7\" class=\"data row9 col7\" >0.970467</td>\n",
       "      <td id=\"T_462d7_row9_col8\" class=\"data row9 col8\" >0.994000</td>\n",
       "      <td id=\"T_462d7_row9_col9\" class=\"data row9 col9\" >0.794681</td>\n",
       "      <td id=\"T_462d7_row9_col10\" class=\"data row9 col10\" >0.780856</td>\n",
       "      <td id=\"T_462d7_row9_col11\" class=\"data row9 col11\" >90.918300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "      <td id=\"T_462d7_row10_col0\" class=\"data row10 col0\" >421513216</td>\n",
       "      <td id=\"T_462d7_row10_col1\" class=\"data row10 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row10_col2\" class=\"data row10 col2\" >32</td>\n",
       "      <td id=\"T_462d7_row10_col3\" class=\"data row10 col3\" >0.978680</td>\n",
       "      <td id=\"T_462d7_row10_col4\" class=\"data row10 col4\" >0.908469</td>\n",
       "      <td id=\"T_462d7_row10_col5\" class=\"data row10 col5\" >0.903175</td>\n",
       "      <td id=\"T_462d7_row10_col6\" class=\"data row10 col6\" >0.986667</td>\n",
       "      <td id=\"T_462d7_row10_col7\" class=\"data row10 col7\" >0.981394</td>\n",
       "      <td id=\"T_462d7_row10_col8\" class=\"data row10 col8\" >0.995400</td>\n",
       "      <td id=\"T_462d7_row10_col9\" class=\"data row10 col9\" >0.815957</td>\n",
       "      <td id=\"T_462d7_row10_col10\" class=\"data row10 col10\" >0.796776</td>\n",
       "      <td id=\"T_462d7_row10_col11\" class=\"data row10 col11\" >92.081465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "      <td id=\"T_462d7_row11_col0\" class=\"data row11 col0\" >534759424</td>\n",
       "      <td id=\"T_462d7_row11_col1\" class=\"data row11 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row11_col2\" class=\"data row11 col2\" >64</td>\n",
       "      <td id=\"T_462d7_row11_col3\" class=\"data row11 col3\" >0.979794</td>\n",
       "      <td id=\"T_462d7_row11_col4\" class=\"data row11 col4\" >0.916428</td>\n",
       "      <td id=\"T_462d7_row11_col5\" class=\"data row11 col5\" >0.915714</td>\n",
       "      <td id=\"T_462d7_row11_col6\" class=\"data row11 col6\" >0.986667</td>\n",
       "      <td id=\"T_462d7_row11_col7\" class=\"data row11 col7\" >0.985748</td>\n",
       "      <td id=\"T_462d7_row11_col8\" class=\"data row11 col8\" >0.995600</td>\n",
       "      <td id=\"T_462d7_row11_col9\" class=\"data row11 col9\" >0.827128</td>\n",
       "      <td id=\"T_462d7_row11_col10\" class=\"data row11 col10\" >0.810680</td>\n",
       "      <td id=\"T_462d7_row11_col11\" class=\"data row11 col11\" >92.721991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "      <td id=\"T_462d7_row12_col0\" class=\"data row12 col0\" >761251840</td>\n",
       "      <td id=\"T_462d7_row12_col1\" class=\"data row12 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row12_col2\" class=\"data row12 col2\" >128</td>\n",
       "      <td id=\"T_462d7_row12_col3\" class=\"data row12 col3\" >0.979833</td>\n",
       "      <td id=\"T_462d7_row12_col4\" class=\"data row12 col4\" >0.921403</td>\n",
       "      <td id=\"T_462d7_row12_col5\" class=\"data row12 col5\" >0.922222</td>\n",
       "      <td id=\"T_462d7_row12_col6\" class=\"data row12 col6\" >0.987037</td>\n",
       "      <td id=\"T_462d7_row12_col7\" class=\"data row12 col7\" >0.986857</td>\n",
       "      <td id=\"T_462d7_row12_col8\" class=\"data row12 col8\" >0.995800</td>\n",
       "      <td id=\"T_462d7_row12_col9\" class=\"data row12 col9\" >0.830319</td>\n",
       "      <td id=\"T_462d7_row12_col10\" class=\"data row12 col10\" >0.818841</td>\n",
       "      <td id=\"T_462d7_row12_col11\" class=\"data row12 col11\" >93.028898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "      <td id=\"T_462d7_row13_col0\" class=\"data row13 col0\" >2724186112</td>\n",
       "      <td id=\"T_462d7_row13_col1\" class=\"data row13 col1\" >2</td>\n",
       "      <td id=\"T_462d7_row13_col2\" class=\"data row13 col2\" >-1</td>\n",
       "      <td id=\"T_462d7_row13_col3\" class=\"data row13 col3\" >0.980025</td>\n",
       "      <td id=\"T_462d7_row13_col4\" class=\"data row13 col4\" >0.927745</td>\n",
       "      <td id=\"T_462d7_row13_col5\" class=\"data row13 col5\" >0.924286</td>\n",
       "      <td id=\"T_462d7_row13_col6\" class=\"data row13 col6\" >0.987407</td>\n",
       "      <td id=\"T_462d7_row13_col7\" class=\"data row13 col7\" >0.987728</td>\n",
       "      <td id=\"T_462d7_row13_col8\" class=\"data row13 col8\" >0.995800</td>\n",
       "      <td id=\"T_462d7_row13_col9\" class=\"data row13 col9\" >0.832447</td>\n",
       "      <td id=\"T_462d7_row13_col10\" class=\"data row13 col10\" >0.823929</td>\n",
       "      <td id=\"T_462d7_row13_col11\" class=\"data row13 col11\" >93.242086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "      <td id=\"T_462d7_row14_col0\" class=\"data row14 col0\" >325961728</td>\n",
       "      <td id=\"T_462d7_row14_col1\" class=\"data row14 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row14_col2\" class=\"data row14 col2\" >4</td>\n",
       "      <td id=\"T_462d7_row14_col3\" class=\"data row14 col3\" >0.954786</td>\n",
       "      <td id=\"T_462d7_row14_col4\" class=\"data row14 col4\" >0.841811</td>\n",
       "      <td id=\"T_462d7_row14_col5\" class=\"data row14 col5\" >0.856825</td>\n",
       "      <td id=\"T_462d7_row14_col6\" class=\"data row14 col6\" >0.969630</td>\n",
       "      <td id=\"T_462d7_row14_col7\" class=\"data row14 col7\" >0.926603</td>\n",
       "      <td id=\"T_462d7_row14_col8\" class=\"data row14 col8\" >0.987100</td>\n",
       "      <td id=\"T_462d7_row14_col9\" class=\"data row14 col9\" >0.711170</td>\n",
       "      <td id=\"T_462d7_row14_col10\" class=\"data row14 col10\" >0.755768</td>\n",
       "      <td id=\"T_462d7_row14_col11\" class=\"data row14 col11\" >87.546174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "      <td id=\"T_462d7_row15_col0\" class=\"data row15 col0\" >340117504</td>\n",
       "      <td id=\"T_462d7_row15_col1\" class=\"data row15 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row15_col2\" class=\"data row15 col2\" >8</td>\n",
       "      <td id=\"T_462d7_row15_col3\" class=\"data row15 col3\" >0.968423</td>\n",
       "      <td id=\"T_462d7_row15_col4\" class=\"data row15 col4\" >0.870787</td>\n",
       "      <td id=\"T_462d7_row15_col5\" class=\"data row15 col5\" >0.883492</td>\n",
       "      <td id=\"T_462d7_row15_col6\" class=\"data row15 col6\" >0.982222</td>\n",
       "      <td id=\"T_462d7_row15_col7\" class=\"data row15 col7\" >0.958274</td>\n",
       "      <td id=\"T_462d7_row15_col8\" class=\"data row15 col8\" >0.992300</td>\n",
       "      <td id=\"T_462d7_row15_col9\" class=\"data row15 col9\" >0.760106</td>\n",
       "      <td id=\"T_462d7_row15_col10\" class=\"data row15 col10\" >0.765945</td>\n",
       "      <td id=\"T_462d7_row15_col11\" class=\"data row15 col11\" >89.769373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "      <td id=\"T_462d7_row16_col0\" class=\"data row16 col0\" >368429056</td>\n",
       "      <td id=\"T_462d7_row16_col1\" class=\"data row16 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row16_col2\" class=\"data row16 col2\" >16</td>\n",
       "      <td id=\"T_462d7_row16_col3\" class=\"data row16 col3\" >0.976260</td>\n",
       "      <td id=\"T_462d7_row16_col4\" class=\"data row16 col4\" >0.894665</td>\n",
       "      <td id=\"T_462d7_row16_col5\" class=\"data row16 col5\" >0.905238</td>\n",
       "      <td id=\"T_462d7_row16_col6\" class=\"data row16 col6\" >0.986667</td>\n",
       "      <td id=\"T_462d7_row16_col7\" class=\"data row16 col7\" >0.976801</td>\n",
       "      <td id=\"T_462d7_row16_col8\" class=\"data row16 col8\" >0.995500</td>\n",
       "      <td id=\"T_462d7_row16_col9\" class=\"data row16 col9\" >0.798936</td>\n",
       "      <td id=\"T_462d7_row16_col10\" class=\"data row16 col10\" >0.781914</td>\n",
       "      <td id=\"T_462d7_row16_col11\" class=\"data row16 col11\" >91.449768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "      <td id=\"T_462d7_row17_col0\" class=\"data row17 col0\" >425052160</td>\n",
       "      <td id=\"T_462d7_row17_col1\" class=\"data row17 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row17_col2\" class=\"data row17 col2\" >32</td>\n",
       "      <td id=\"T_462d7_row17_col3\" class=\"data row17 col3\" >0.978795</td>\n",
       "      <td id=\"T_462d7_row17_col4\" class=\"data row17 col4\" >0.909837</td>\n",
       "      <td id=\"T_462d7_row17_col5\" class=\"data row17 col5\" >0.927302</td>\n",
       "      <td id=\"T_462d7_row17_col6\" class=\"data row17 col6\" >0.988148</td>\n",
       "      <td id=\"T_462d7_row17_col7\" class=\"data row17 col7\" >0.985511</td>\n",
       "      <td id=\"T_462d7_row17_col8\" class=\"data row17 col8\" >0.995900</td>\n",
       "      <td id=\"T_462d7_row17_col9\" class=\"data row17 col9\" >0.824468</td>\n",
       "      <td id=\"T_462d7_row17_col10\" class=\"data row17 col10\" >0.798489</td>\n",
       "      <td id=\"T_462d7_row17_col11\" class=\"data row17 col11\" >92.605620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
       "      <td id=\"T_462d7_row18_col0\" class=\"data row18 col0\" >538298368</td>\n",
       "      <td id=\"T_462d7_row18_col1\" class=\"data row18 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row18_col2\" class=\"data row18 col2\" >64</td>\n",
       "      <td id=\"T_462d7_row18_col3\" class=\"data row18 col3\" >0.979295</td>\n",
       "      <td id=\"T_462d7_row18_col4\" class=\"data row18 col4\" >0.920035</td>\n",
       "      <td id=\"T_462d7_row18_col5\" class=\"data row18 col5\" >0.937143</td>\n",
       "      <td id=\"T_462d7_row18_col6\" class=\"data row18 col6\" >0.987778</td>\n",
       "      <td id=\"T_462d7_row18_col7\" class=\"data row18 col7\" >0.988044</td>\n",
       "      <td id=\"T_462d7_row18_col8\" class=\"data row18 col8\" >0.996300</td>\n",
       "      <td id=\"T_462d7_row18_col9\" class=\"data row18 col9\" >0.828723</td>\n",
       "      <td id=\"T_462d7_row18_col10\" class=\"data row18 col10\" >0.812594</td>\n",
       "      <td id=\"T_462d7_row18_col11\" class=\"data row18 col11\" >93.123905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
       "      <td id=\"T_462d7_row19_col0\" class=\"data row19 col0\" >764790784</td>\n",
       "      <td id=\"T_462d7_row19_col1\" class=\"data row19 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row19_col2\" class=\"data row19 col2\" >128</td>\n",
       "      <td id=\"T_462d7_row19_col3\" class=\"data row19 col3\" >0.979679</td>\n",
       "      <td id=\"T_462d7_row19_col4\" class=\"data row19 col4\" >0.924512</td>\n",
       "      <td id=\"T_462d7_row19_col5\" class=\"data row19 col5\" >0.942857</td>\n",
       "      <td id=\"T_462d7_row19_col6\" class=\"data row19 col6\" >0.987778</td>\n",
       "      <td id=\"T_462d7_row19_col7\" class=\"data row19 col7\" >0.989074</td>\n",
       "      <td id=\"T_462d7_row19_col8\" class=\"data row19 col8\" >0.996300</td>\n",
       "      <td id=\"T_462d7_row19_col9\" class=\"data row19 col9\" >0.829787</td>\n",
       "      <td id=\"T_462d7_row19_col10\" class=\"data row19 col10\" >0.819043</td>\n",
       "      <td id=\"T_462d7_row19_col11\" class=\"data row19 col11\" >93.362866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
       "      <td id=\"T_462d7_row20_col0\" class=\"data row20 col0\" >2727725056</td>\n",
       "      <td id=\"T_462d7_row20_col1\" class=\"data row20 col1\" >4</td>\n",
       "      <td id=\"T_462d7_row20_col2\" class=\"data row20 col2\" >-1</td>\n",
       "      <td id=\"T_462d7_row20_col3\" class=\"data row20 col3\" >0.979909</td>\n",
       "      <td id=\"T_462d7_row20_col4\" class=\"data row20 col4\" >0.928616</td>\n",
       "      <td id=\"T_462d7_row20_col5\" class=\"data row20 col5\" >0.944921</td>\n",
       "      <td id=\"T_462d7_row20_col6\" class=\"data row20 col6\" >0.987778</td>\n",
       "      <td id=\"T_462d7_row20_col7\" class=\"data row20 col7\" >0.989628</td>\n",
       "      <td id=\"T_462d7_row20_col8\" class=\"data row20 col8\" >0.996200</td>\n",
       "      <td id=\"T_462d7_row20_col9\" class=\"data row20 col9\" >0.837234</td>\n",
       "      <td id=\"T_462d7_row20_col10\" class=\"data row20 col10\" >0.825491</td>\n",
       "      <td id=\"T_462d7_row20_col11\" class=\"data row20 col11\" >93.622210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
       "      <td id=\"T_462d7_row21_col0\" class=\"data row21 col0\" >333039616</td>\n",
       "      <td id=\"T_462d7_row21_col1\" class=\"data row21 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row21_col2\" class=\"data row21 col2\" >4</td>\n",
       "      <td id=\"T_462d7_row21_col3\" class=\"data row21 col3\" >0.953442</td>\n",
       "      <td id=\"T_462d7_row21_col4\" class=\"data row21 col4\" >0.842433</td>\n",
       "      <td id=\"T_462d7_row21_col5\" class=\"data row21 col5\" >0.867460</td>\n",
       "      <td id=\"T_462d7_row21_col6\" class=\"data row21 col6\" >0.975926</td>\n",
       "      <td id=\"T_462d7_row21_col7\" class=\"data row21 col7\" >0.928979</td>\n",
       "      <td id=\"T_462d7_row21_col8\" class=\"data row21 col8\" >0.986800</td>\n",
       "      <td id=\"T_462d7_row21_col9\" class=\"data row21 col9\" >0.715957</td>\n",
       "      <td id=\"T_462d7_row21_col10\" class=\"data row21 col10\" >0.756171</td>\n",
       "      <td id=\"T_462d7_row21_col11\" class=\"data row21 col11\" >87.839601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
       "      <td id=\"T_462d7_row22_col0\" class=\"data row22 col0\" >347195392</td>\n",
       "      <td id=\"T_462d7_row22_col1\" class=\"data row22 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row22_col2\" class=\"data row22 col2\" >8</td>\n",
       "      <td id=\"T_462d7_row22_col3\" class=\"data row22 col3\" >0.969230</td>\n",
       "      <td id=\"T_462d7_row22_col4\" class=\"data row22 col4\" >0.870787</td>\n",
       "      <td id=\"T_462d7_row22_col5\" class=\"data row22 col5\" >0.893016</td>\n",
       "      <td id=\"T_462d7_row22_col6\" class=\"data row22 col6\" >0.984444</td>\n",
       "      <td id=\"T_462d7_row22_col7\" class=\"data row22 col7\" >0.961995</td>\n",
       "      <td id=\"T_462d7_row22_col8\" class=\"data row22 col8\" >0.993300</td>\n",
       "      <td id=\"T_462d7_row22_col9\" class=\"data row22 col9\" >0.765426</td>\n",
       "      <td id=\"T_462d7_row22_col10\" class=\"data row22 col10\" >0.767103</td>\n",
       "      <td id=\"T_462d7_row22_col11\" class=\"data row22 col11\" >90.066271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
       "      <td id=\"T_462d7_row23_col0\" class=\"data row23 col0\" >375506944</td>\n",
       "      <td id=\"T_462d7_row23_col1\" class=\"data row23 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row23_col2\" class=\"data row23 col2\" >16</td>\n",
       "      <td id=\"T_462d7_row23_col3\" class=\"data row23 col3\" >0.976298</td>\n",
       "      <td id=\"T_462d7_row23_col4\" class=\"data row23 col4\" >0.890685</td>\n",
       "      <td id=\"T_462d7_row23_col5\" class=\"data row23 col5\" >0.917460</td>\n",
       "      <td id=\"T_462d7_row23_col6\" class=\"data row23 col6\" >0.986296</td>\n",
       "      <td id=\"T_462d7_row23_col7\" class=\"data row23 col7\" >0.978702</td>\n",
       "      <td id=\"T_462d7_row23_col8\" class=\"data row23 col8\" >0.995400</td>\n",
       "      <td id=\"T_462d7_row23_col9\" class=\"data row23 col9\" >0.800000</td>\n",
       "      <td id=\"T_462d7_row23_col10\" class=\"data row23 col10\" >0.782569</td>\n",
       "      <td id=\"T_462d7_row23_col11\" class=\"data row23 col11\" >91.592639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
       "      <td id=\"T_462d7_row24_col0\" class=\"data row24 col0\" >432130048</td>\n",
       "      <td id=\"T_462d7_row24_col1\" class=\"data row24 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row24_col2\" class=\"data row24 col2\" >32</td>\n",
       "      <td id=\"T_462d7_row24_col3\" class=\"data row24 col3\" >0.979026</td>\n",
       "      <td id=\"T_462d7_row24_col4\" class=\"data row24 col4\" >0.909837</td>\n",
       "      <td id=\"T_462d7_row24_col5\" class=\"data row24 col5\" >0.936667</td>\n",
       "      <td id=\"T_462d7_row24_col6\" class=\"data row24 col6\" >0.986296</td>\n",
       "      <td id=\"T_462d7_row24_col7\" class=\"data row24 col7\" >0.986857</td>\n",
       "      <td id=\"T_462d7_row24_col8\" class=\"data row24 col8\" >0.996100</td>\n",
       "      <td id=\"T_462d7_row24_col9\" class=\"data row24 col9\" >0.819681</td>\n",
       "      <td id=\"T_462d7_row24_col10\" class=\"data row24 col10\" >0.799496</td>\n",
       "      <td id=\"T_462d7_row24_col11\" class=\"data row24 col11\" >92.674496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
       "      <td id=\"T_462d7_row25_col0\" class=\"data row25 col0\" >545376256</td>\n",
       "      <td id=\"T_462d7_row25_col1\" class=\"data row25 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row25_col2\" class=\"data row25 col2\" >64</td>\n",
       "      <td id=\"T_462d7_row25_col3\" class=\"data row25 col3\" >0.979103</td>\n",
       "      <td id=\"T_462d7_row25_col4\" class=\"data row25 col4\" >0.918418</td>\n",
       "      <td id=\"T_462d7_row25_col5\" class=\"data row25 col5\" >0.946032</td>\n",
       "      <td id=\"T_462d7_row25_col6\" class=\"data row25 col6\" >0.987778</td>\n",
       "      <td id=\"T_462d7_row25_col7\" class=\"data row25 col7\" >0.988757</td>\n",
       "      <td id=\"T_462d7_row25_col8\" class=\"data row25 col8\" >0.996500</td>\n",
       "      <td id=\"T_462d7_row25_col9\" class=\"data row25 col9\" >0.831383</td>\n",
       "      <td id=\"T_462d7_row25_col10\" class=\"data row25 col10\" >0.812997</td>\n",
       "      <td id=\"T_462d7_row25_col11\" class=\"data row25 col11\" >93.262096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
       "      <td id=\"T_462d7_row26_col0\" class=\"data row26 col0\" >771868672</td>\n",
       "      <td id=\"T_462d7_row26_col1\" class=\"data row26 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row26_col2\" class=\"data row26 col2\" >128</td>\n",
       "      <td id=\"T_462d7_row26_col3\" class=\"data row26 col3\" >0.979525</td>\n",
       "      <td id=\"T_462d7_row26_col4\" class=\"data row26 col4\" >0.923268</td>\n",
       "      <td id=\"T_462d7_row26_col5\" class=\"data row26 col5\" >0.949841</td>\n",
       "      <td id=\"T_462d7_row26_col6\" class=\"data row26 col6\" >0.988519</td>\n",
       "      <td id=\"T_462d7_row26_col7\" class=\"data row26 col7\" >0.990024</td>\n",
       "      <td id=\"T_462d7_row26_col8\" class=\"data row26 col8\" >0.996500</td>\n",
       "      <td id=\"T_462d7_row26_col9\" class=\"data row26 col9\" >0.834574</td>\n",
       "      <td id=\"T_462d7_row26_col10\" class=\"data row26 col10\" >0.820000</td>\n",
       "      <td id=\"T_462d7_row26_col11\" class=\"data row26 col11\" >93.528143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
       "      <td id=\"T_462d7_row27_col0\" class=\"data row27 col0\" >2734802944</td>\n",
       "      <td id=\"T_462d7_row27_col1\" class=\"data row27 col1\" >8</td>\n",
       "      <td id=\"T_462d7_row27_col2\" class=\"data row27 col2\" >-1</td>\n",
       "      <td id=\"T_462d7_row27_col3\" class=\"data row27 col3\" >0.979640</td>\n",
       "      <td id=\"T_462d7_row27_col4\" class=\"data row27 col4\" >0.928616</td>\n",
       "      <td id=\"T_462d7_row27_col5\" class=\"data row27 col5\" >0.953175</td>\n",
       "      <td id=\"T_462d7_row27_col6\" class=\"data row27 col6\" >0.988889</td>\n",
       "      <td id=\"T_462d7_row27_col7\" class=\"data row27 col7\" >0.990974</td>\n",
       "      <td id=\"T_462d7_row27_col8\" class=\"data row27 col8\" >0.996400</td>\n",
       "      <td id=\"T_462d7_row27_col9\" class=\"data row27 col9\" >0.839894</td>\n",
       "      <td id=\"T_462d7_row27_col10\" class=\"data row27 col10\" >0.825592</td>\n",
       "      <td id=\"T_462d7_row27_col11\" class=\"data row27 col11\" >93.789740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
       "      <td id=\"T_462d7_row28_col0\" class=\"data row28 col0\" >347195392</td>\n",
       "      <td id=\"T_462d7_row28_col1\" class=\"data row28 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row28_col2\" class=\"data row28 col2\" >4</td>\n",
       "      <td id=\"T_462d7_row28_col3\" class=\"data row28 col3\" >0.955555</td>\n",
       "      <td id=\"T_462d7_row28_col4\" class=\"data row28 col4\" >0.844920</td>\n",
       "      <td id=\"T_462d7_row28_col5\" class=\"data row28 col5\" >0.874921</td>\n",
       "      <td id=\"T_462d7_row28_col6\" class=\"data row28 col6\" >0.974815</td>\n",
       "      <td id=\"T_462d7_row28_col7\" class=\"data row28 col7\" >0.929691</td>\n",
       "      <td id=\"T_462d7_row28_col8\" class=\"data row28 col8\" >0.987700</td>\n",
       "      <td id=\"T_462d7_row28_col9\" class=\"data row28 col9\" >0.711702</td>\n",
       "      <td id=\"T_462d7_row28_col10\" class=\"data row28 col10\" >0.755214</td>\n",
       "      <td id=\"T_462d7_row28_col11\" class=\"data row28 col11\" >87.931467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
       "      <td id=\"T_462d7_row29_col0\" class=\"data row29 col0\" >361351168</td>\n",
       "      <td id=\"T_462d7_row29_col1\" class=\"data row29 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row29_col2\" class=\"data row29 col2\" >8</td>\n",
       "      <td id=\"T_462d7_row29_col3\" class=\"data row29 col3\" >0.970959</td>\n",
       "      <td id=\"T_462d7_row29_col4\" class=\"data row29 col4\" >0.871409</td>\n",
       "      <td id=\"T_462d7_row29_col5\" class=\"data row29 col5\" >0.902857</td>\n",
       "      <td id=\"T_462d7_row29_col6\" class=\"data row29 col6\" >0.985556</td>\n",
       "      <td id=\"T_462d7_row29_col7\" class=\"data row29 col7\" >0.963579</td>\n",
       "      <td id=\"T_462d7_row29_col8\" class=\"data row29 col8\" >0.993500</td>\n",
       "      <td id=\"T_462d7_row29_col9\" class=\"data row29 col9\" >0.761702</td>\n",
       "      <td id=\"T_462d7_row29_col10\" class=\"data row29 col10\" >0.765945</td>\n",
       "      <td id=\"T_462d7_row29_col11\" class=\"data row29 col11\" >90.193824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
       "      <td id=\"T_462d7_row30_col0\" class=\"data row30 col0\" >389662720</td>\n",
       "      <td id=\"T_462d7_row30_col1\" class=\"data row30 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row30_col2\" class=\"data row30 col2\" >16</td>\n",
       "      <td id=\"T_462d7_row30_col3\" class=\"data row30 col3\" >0.977528</td>\n",
       "      <td id=\"T_462d7_row30_col4\" class=\"data row30 col4\" >0.892799</td>\n",
       "      <td id=\"T_462d7_row30_col5\" class=\"data row30 col5\" >0.928413</td>\n",
       "      <td id=\"T_462d7_row30_col6\" class=\"data row30 col6\" >0.988148</td>\n",
       "      <td id=\"T_462d7_row30_col7\" class=\"data row30 col7\" >0.978464</td>\n",
       "      <td id=\"T_462d7_row30_col8\" class=\"data row30 col8\" >0.995900</td>\n",
       "      <td id=\"T_462d7_row30_col9\" class=\"data row30 col9\" >0.795745</td>\n",
       "      <td id=\"T_462d7_row30_col10\" class=\"data row30 col10\" >0.781662</td>\n",
       "      <td id=\"T_462d7_row30_col11\" class=\"data row30 col11\" >91.733237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
       "      <td id=\"T_462d7_row31_col0\" class=\"data row31 col0\" >446285824</td>\n",
       "      <td id=\"T_462d7_row31_col1\" class=\"data row31 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row31_col2\" class=\"data row31 col2\" >32</td>\n",
       "      <td id=\"T_462d7_row31_col3\" class=\"data row31 col3\" >0.979295</td>\n",
       "      <td id=\"T_462d7_row31_col4\" class=\"data row31 col4\" >0.909713</td>\n",
       "      <td id=\"T_462d7_row31_col5\" class=\"data row31 col5\" >0.943175</td>\n",
       "      <td id=\"T_462d7_row31_col6\" class=\"data row31 col6\" >0.990000</td>\n",
       "      <td id=\"T_462d7_row31_col7\" class=\"data row31 col7\" >0.986382</td>\n",
       "      <td id=\"T_462d7_row31_col8\" class=\"data row31 col8\" >0.996600</td>\n",
       "      <td id=\"T_462d7_row31_col9\" class=\"data row31 col9\" >0.821809</td>\n",
       "      <td id=\"T_462d7_row31_col10\" class=\"data row31 col10\" >0.798791</td>\n",
       "      <td id=\"T_462d7_row31_col11\" class=\"data row31 col11\" >92.822039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
       "      <td id=\"T_462d7_row32_col0\" class=\"data row32 col0\" >559532032</td>\n",
       "      <td id=\"T_462d7_row32_col1\" class=\"data row32 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row32_col2\" class=\"data row32 col2\" >64</td>\n",
       "      <td id=\"T_462d7_row32_col3\" class=\"data row32 col3\" >0.979448</td>\n",
       "      <td id=\"T_462d7_row32_col4\" class=\"data row32 col4\" >0.918045</td>\n",
       "      <td id=\"T_462d7_row32_col5\" class=\"data row32 col5\" >0.951429</td>\n",
       "      <td id=\"T_462d7_row32_col6\" class=\"data row32 col6\" >0.990000</td>\n",
       "      <td id=\"T_462d7_row32_col7\" class=\"data row32 col7\" >0.988678</td>\n",
       "      <td id=\"T_462d7_row32_col8\" class=\"data row32 col8\" >0.996600</td>\n",
       "      <td id=\"T_462d7_row32_col9\" class=\"data row32 col9\" >0.832447</td>\n",
       "      <td id=\"T_462d7_row32_col10\" class=\"data row32 col10\" >0.812494</td>\n",
       "      <td id=\"T_462d7_row32_col11\" class=\"data row32 col11\" >93.364253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
       "      <td id=\"T_462d7_row33_col0\" class=\"data row33 col0\" >786024448</td>\n",
       "      <td id=\"T_462d7_row33_col1\" class=\"data row33 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row33_col2\" class=\"data row33 col2\" >128</td>\n",
       "      <td id=\"T_462d7_row33_col3\" class=\"data row33 col3\" >0.979640</td>\n",
       "      <td id=\"T_462d7_row33_col4\" class=\"data row33 col4\" >0.923144</td>\n",
       "      <td id=\"T_462d7_row33_col5\" class=\"data row33 col5\" >0.954921</td>\n",
       "      <td id=\"T_462d7_row33_col6\" class=\"data row33 col6\" >0.990741</td>\n",
       "      <td id=\"T_462d7_row33_col7\" class=\"data row33 col7\" >0.989311</td>\n",
       "      <td id=\"T_462d7_row33_col8\" class=\"data row33 col8\" >0.996700</td>\n",
       "      <td id=\"T_462d7_row33_col9\" class=\"data row33 col9\" >0.836170</td>\n",
       "      <td id=\"T_462d7_row33_col10\" class=\"data row33 col10\" >0.818589</td>\n",
       "      <td id=\"T_462d7_row33_col11\" class=\"data row33 col11\" >93.615206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
       "      <td id=\"T_462d7_row34_col0\" class=\"data row34 col0\" >2748958720</td>\n",
       "      <td id=\"T_462d7_row34_col1\" class=\"data row34 col1\" >16</td>\n",
       "      <td id=\"T_462d7_row34_col2\" class=\"data row34 col2\" >-1</td>\n",
       "      <td id=\"T_462d7_row34_col3\" class=\"data row34 col3\" >0.979602</td>\n",
       "      <td id=\"T_462d7_row34_col4\" class=\"data row34 col4\" >0.928616</td>\n",
       "      <td id=\"T_462d7_row34_col5\" class=\"data row34 col5\" >0.958254</td>\n",
       "      <td id=\"T_462d7_row34_col6\" class=\"data row34 col6\" >0.991481</td>\n",
       "      <td id=\"T_462d7_row34_col7\" class=\"data row34 col7\" >0.989865</td>\n",
       "      <td id=\"T_462d7_row34_col8\" class=\"data row34 col8\" >0.996700</td>\n",
       "      <td id=\"T_462d7_row34_col9\" class=\"data row34 col9\" >0.841489</td>\n",
       "      <td id=\"T_462d7_row34_col10\" class=\"data row34 col10\" >0.823275</td>\n",
       "      <td id=\"T_462d7_row34_col11\" class=\"data row34 col11\" >93.866034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
       "      <td id=\"T_462d7_row35_col0\" class=\"data row35 col0\" >375506944</td>\n",
       "      <td id=\"T_462d7_row35_col1\" class=\"data row35 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row35_col2\" class=\"data row35 col2\" >4</td>\n",
       "      <td id=\"T_462d7_row35_col3\" class=\"data row35 col3\" >0.957091</td>\n",
       "      <td id=\"T_462d7_row35_col4\" class=\"data row35 col4\" >0.846537</td>\n",
       "      <td id=\"T_462d7_row35_col5\" class=\"data row35 col5\" >0.874444</td>\n",
       "      <td id=\"T_462d7_row35_col6\" class=\"data row35 col6\" >0.974444</td>\n",
       "      <td id=\"T_462d7_row35_col7\" class=\"data row35 col7\" >0.933254</td>\n",
       "      <td id=\"T_462d7_row35_col8\" class=\"data row35 col8\" >0.988400</td>\n",
       "      <td id=\"T_462d7_row35_col9\" class=\"data row35 col9\" >0.706383</td>\n",
       "      <td id=\"T_462d7_row35_col10\" class=\"data row35 col10\" >0.753904</td>\n",
       "      <td id=\"T_462d7_row35_col11\" class=\"data row35 col11\" >87.930726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
       "      <td id=\"T_462d7_row36_col0\" class=\"data row36 col0\" >389662720</td>\n",
       "      <td id=\"T_462d7_row36_col1\" class=\"data row36 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row36_col2\" class=\"data row36 col2\" >8</td>\n",
       "      <td id=\"T_462d7_row36_col3\" class=\"data row36 col3\" >0.972419</td>\n",
       "      <td id=\"T_462d7_row36_col4\" class=\"data row36 col4\" >0.870041</td>\n",
       "      <td id=\"T_462d7_row36_col5\" class=\"data row36 col5\" >0.904127</td>\n",
       "      <td id=\"T_462d7_row36_col6\" class=\"data row36 col6\" >0.986296</td>\n",
       "      <td id=\"T_462d7_row36_col7\" class=\"data row36 col7\" >0.966033</td>\n",
       "      <td id=\"T_462d7_row36_col8\" class=\"data row36 col8\" >0.994500</td>\n",
       "      <td id=\"T_462d7_row36_col9\" class=\"data row36 col9\" >0.763830</td>\n",
       "      <td id=\"T_462d7_row36_col10\" class=\"data row36 col10\" >0.765390</td>\n",
       "      <td id=\"T_462d7_row36_col11\" class=\"data row36 col11\" >90.282954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
       "      <td id=\"T_462d7_row37_col0\" class=\"data row37 col0\" >417974272</td>\n",
       "      <td id=\"T_462d7_row37_col1\" class=\"data row37 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row37_col2\" class=\"data row37 col2\" >16</td>\n",
       "      <td id=\"T_462d7_row37_col3\" class=\"data row37 col3\" >0.977989</td>\n",
       "      <td id=\"T_462d7_row37_col4\" class=\"data row37 col4\" >0.892799</td>\n",
       "      <td id=\"T_462d7_row37_col5\" class=\"data row37 col5\" >0.930159</td>\n",
       "      <td id=\"T_462d7_row37_col6\" class=\"data row37 col6\" >0.987407</td>\n",
       "      <td id=\"T_462d7_row37_col7\" class=\"data row37 col7\" >0.980443</td>\n",
       "      <td id=\"T_462d7_row37_col8\" class=\"data row37 col8\" >0.996100</td>\n",
       "      <td id=\"T_462d7_row37_col9\" class=\"data row37 col9\" >0.796808</td>\n",
       "      <td id=\"T_462d7_row37_col10\" class=\"data row37 col10\" >0.780403</td>\n",
       "      <td id=\"T_462d7_row37_col11\" class=\"data row37 col11\" >91.776363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
       "      <td id=\"T_462d7_row38_col0\" class=\"data row38 col0\" >474597376</td>\n",
       "      <td id=\"T_462d7_row38_col1\" class=\"data row38 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row38_col2\" class=\"data row38 col2\" >32</td>\n",
       "      <td id=\"T_462d7_row38_col3\" class=\"data row38 col3\" >0.978949</td>\n",
       "      <td id=\"T_462d7_row38_col4\" class=\"data row38 col4\" >0.908345</td>\n",
       "      <td id=\"T_462d7_row38_col5\" class=\"data row38 col5\" >0.946667</td>\n",
       "      <td id=\"T_462d7_row38_col6\" class=\"data row38 col6\" >0.990000</td>\n",
       "      <td id=\"T_462d7_row38_col7\" class=\"data row38 col7\" >0.985827</td>\n",
       "      <td id=\"T_462d7_row38_col8\" class=\"data row38 col8\" >0.996700</td>\n",
       "      <td id=\"T_462d7_row38_col9\" class=\"data row38 col9\" >0.825532</td>\n",
       "      <td id=\"T_462d7_row38_col10\" class=\"data row38 col10\" >0.796474</td>\n",
       "      <td id=\"T_462d7_row38_col11\" class=\"data row38 col11\" >92.856166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
       "      <td id=\"T_462d7_row39_col0\" class=\"data row39 col0\" >587843584</td>\n",
       "      <td id=\"T_462d7_row39_col1\" class=\"data row39 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row39_col2\" class=\"data row39 col2\" >64</td>\n",
       "      <td id=\"T_462d7_row39_col3\" class=\"data row39 col3\" >0.979448</td>\n",
       "      <td id=\"T_462d7_row39_col4\" class=\"data row39 col4\" >0.917299</td>\n",
       "      <td id=\"T_462d7_row39_col5\" class=\"data row39 col5\" >0.953809</td>\n",
       "      <td id=\"T_462d7_row39_col6\" class=\"data row39 col6\" >0.990000</td>\n",
       "      <td id=\"T_462d7_row39_col7\" class=\"data row39 col7\" >0.987807</td>\n",
       "      <td id=\"T_462d7_row39_col8\" class=\"data row39 col8\" >0.996900</td>\n",
       "      <td id=\"T_462d7_row39_col9\" class=\"data row39 col9\" >0.831383</td>\n",
       "      <td id=\"T_462d7_row39_col10\" class=\"data row39 col10\" >0.811486</td>\n",
       "      <td id=\"T_462d7_row39_col11\" class=\"data row39 col11\" >93.351658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
       "      <td id=\"T_462d7_row40_col0\" class=\"data row40 col0\" >814336000</td>\n",
       "      <td id=\"T_462d7_row40_col1\" class=\"data row40 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row40_col2\" class=\"data row40 col2\" >128</td>\n",
       "      <td id=\"T_462d7_row40_col3\" class=\"data row40 col3\" >0.979679</td>\n",
       "      <td id=\"T_462d7_row40_col4\" class=\"data row40 col4\" >0.924139</td>\n",
       "      <td id=\"T_462d7_row40_col5\" class=\"data row40 col5\" >0.957302</td>\n",
       "      <td id=\"T_462d7_row40_col6\" class=\"data row40 col6\" >0.990370</td>\n",
       "      <td id=\"T_462d7_row40_col7\" class=\"data row40 col7\" >0.988519</td>\n",
       "      <td id=\"T_462d7_row40_col8\" class=\"data row40 col8\" >0.996800</td>\n",
       "      <td id=\"T_462d7_row40_col9\" class=\"data row40 col9\" >0.836702</td>\n",
       "      <td id=\"T_462d7_row40_col10\" class=\"data row40 col10\" >0.818388</td>\n",
       "      <td id=\"T_462d7_row40_col11\" class=\"data row40 col11\" >93.648738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_462d7_level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
       "      <td id=\"T_462d7_row41_col0\" class=\"data row41 col0\" >2777270272</td>\n",
       "      <td id=\"T_462d7_row41_col1\" class=\"data row41 col1\" >32</td>\n",
       "      <td id=\"T_462d7_row41_col2\" class=\"data row41 col2\" >-1</td>\n",
       "      <td id=\"T_462d7_row41_col3\" class=\"data row41 col3\" >0.979602</td>\n",
       "      <td id=\"T_462d7_row41_col4\" class=\"data row41 col4\" >0.929611</td>\n",
       "      <td id=\"T_462d7_row41_col5\" class=\"data row41 col5\" >0.960952</td>\n",
       "      <td id=\"T_462d7_row41_col6\" class=\"data row41 col6\" >0.990741</td>\n",
       "      <td id=\"T_462d7_row41_col7\" class=\"data row41 col7\" >0.989311</td>\n",
       "      <td id=\"T_462d7_row41_col8\" class=\"data row41 col8\" >0.996900</td>\n",
       "      <td id=\"T_462d7_row41_col9\" class=\"data row41 col9\" >0.837766</td>\n",
       "      <td id=\"T_462d7_row41_col10\" class=\"data row41 col10\" >0.823174</td>\n",
       "      <td id=\"T_462d7_row41_col11\" class=\"data row41 col11\" >93.850710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f035d826ce0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_dir = \"/workspace/svd_subspace/outputs/ViT-L-14/eight_tasks\"\n",
    "moe_data = defaultdict(list)\n",
    "for gate_k in [1, 2, 4, 8, 16, 32]:\n",
    "    for k in [4, 8, 16, 32, 64, 128, -1]:\n",
    "        file_name = f\"gate_k={gate_k}_k={k}.json\"\n",
    "        file_name = os.path.join(data_dir, file_name)\n",
    "        if not os.path.exists(file_name):\n",
    "            # print(f\"File {file_name} does not exist\")\n",
    "            continue\n",
    "        with open(file_name) as f:\n",
    "            data = json.load(f)\n",
    "        moe_data[\"num_params\"].append(data[\"model_info\"][\"all_params\"])\n",
    "        moe_data[\"gate_k\"].append(gate_k)\n",
    "        moe_data[\"k\"].append(k)\n",
    "        accuracies = {}\n",
    "        for key in data:\n",
    "            if key == \"model_info\":\n",
    "                continue\n",
    "            accuracies[key] = data[key][\"accuracy\"]\n",
    "        average_accuracy = np.mean(list(accuracies.values())) * 100\n",
    "        for key in accuracies:\n",
    "            moe_data[key].append(accuracies[key])\n",
    "        moe_data[\"average\"].append(average_accuracy)\n",
    "moe_data = pd.DataFrame(moe_data)\n",
    "\n",
    "# 使用 Styler 对象并应用背景颜色渐变\n",
    "styled_df = moe_data.style.background_gradient(cmap=\"RdYlGn\")\n",
    "\n",
    "# 显示结果\n",
    "styled_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_6940/4143931343.py:5: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Dense' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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o586k5i+iQIFaoWJgrSewtbAmIjVnOs7DxpnxTQfQu2prGrpXZ1Ofz6jhVPBFmpPGdEGRrjPPFN4NXq3UpfeaWliSIXlMzJo1i6lTp5qVPYcLfSncXPJdTee9z81Vm4k5dIoG08bR9Kv3sPH14tTbs7H2Mb3Rhq7fQdJl01RLWugdTk/6gg4bvqf+x29wYOCbedZryNACoLI2X4ehsjL90WjjCr4qL04z1gfTs5E7jas4Mu/vG3y64RoRCVomPV0NgJQMHZNXXWbGgFqolQrGLTvPyAVBfPFiHbo1yPuqIyVDx7y/Q5j3cumshSnIa+M64eFlz84tFxg3cgW16npnH2vczA9LjenPRas1X4ycmWkKRBwc814ro9MZmDtrC29/0DM7eCkr7V6shr2rFZcPRLL241N43nMbrq+/U7G2dftyIhaWKtz8SufumrvWXP2NuIw4Wnm15N1mEwlJyplKuxSfe32Es8aJJ/y68PmJOQXWa6Wyom/1Z/nmTOHXgJWEBUGriE6Lo7NfAF92eJ/L8TlTKaejL+Y6383KmWerd+PtvbOK3FZdlxpk6DK5kRT2UH0uqk+PLudOSgxPVWvLr72mmq0XOXznfPb/R6XF8+nR5Xx2bCX/a/gs7zQfzLgmAxizK/+fpVZv+vu1UlmaTe9oVKYLjQRtcnEPRxTSfzog2bZtG926dSvwnMmTJ/PWW2+Zla13bFqkdmq8PgjXlg05MW4GAGc/nIfCQo3/u6MI/zMQ4z/ZjKwk8zn6238FYsjKwql+zXzrTr5mSkFqXJ3Myu9+nXbrTpH6+qBW7g/n7K0k3n/WdPvuuB5V0OmNLNodSse6LrSs7swHqy9Tyc0ah39u+fxueD1emX+WKWuu0KK6U/bdN/facS6GQ1fjaTXlQK5jG05EsulkJJ8MqEWfZiWfPVEoFPQd2Jy+A3PW5bz60k9YWKjo8XRDLl8wfa+TEsyzVXe/9vTKezHcuTNhHDlwjQG9vjUr1+uNRNxJpGPTmbw8qh3DXm1XnMPJk0KhoHFPHxr3zLmK/OXd46jUCvw7eRfwzKK7tD+SWqW0mPXfdoTuYkforuyvP2zxPlmGLPaFm2c2VAoVr9UfxbKLy4lIK3h9RVOPJvi71uWHTt/kOtamQmtaewew6PxPHLhzsHgGUYD117ax/tq27K+/7zyVTH0WW0L2mJ2nVqj4oOVo5p5cQlhK0aeYuvgFlGp25F7LLvzNsgs5U2jrn/4UrT6LtVd25TrXYDTw3el1dK3UnDoulQqs92ZSBLVdKuFsZU9aSk5Acnd9zr8X05YH8uF6/wFvvfUW584VvHmYRqNBozFP0VkUcSar2vC+JP1r0enZ97+kykvP4PN0Z658txIAWz/zF3yjXo82NoGMPDZPuyty12Fqj38Z+1pViNqbk062q276o4vYnvuNvCT8fiyCym7ma0HG96zCxhOR7Dofi7+PPduCYvjongWslmolH/erQe/PjnPieiJd6uXOOnX2d+OPCbk3y3rmi+N0ruvK2B5V8HIqmxTq3xvPciHoNq+N64SnlwPW1hao1EpuhZj/vMJCTXPRzVrlvXlYrbpeLF07Mlf5hP/9ipu7PZOn9cbZxbb4B1AI53ffIeJqEm1frIa9W+HuhioMo8HI1YNRPD+9SbHV+aDaVmhNdadqrL6yljit+bqBEf7DOXDnEGdj7n+H1KnoU7x/6KNc5bNaT+dU9Gl+C15PfD5TQiXpyUrtqOtag/lnfyU63bz9Sc1fZdvN/RyNOFPkehUo6OjTknGB04urqw+sb42ONPGsyayjy7mTGpvveUfunKexR/4XeAAHbwfxZOWWVHWsQHhKdHZ5ZUdvtPosswxMeVHep1qKyyMVkPTu3Zu0tPvv9WA0GomOjubixdzpy5KQlZKGfY3K5n0wGMiIikWXmk7KtVtE7T+BT58nOPP+l9nnqG1t0Li7EP754uwyhVqNUq1C/89Uze2/95JyIwzvbm24tnBN9nmeHVsQufsIycGls1GRjaWKmzHmmQGVUoGrnSXWlios1UrUSgU3o83PuXtLsLXlPYtEs/SolAosVEocrNXZGZV/s7dWU9O7bN6oLwSF8+WsLXR4ojaDhgYA4OBoTedudTl26DpGozH7quXU8ZvYO1jRqWvO6nxdlh693oDGygJra0uqVs+dKVCrVVhZW+R5rDTcuZrErkVXqNHKneZ98lhoa/zXv/+SpdWjVClQ5XFXVOi5eGydLXGuUDaLlO+q6lCFIbVf5Gjkcf4KMV+w+nKdFwlNCWVv+D6zckdLBxIzkwCwUFpgMBrQG/Wk6dJJy2cDtLSstFLdHO2u2s7VGN9kGHvCjvDrZfMFq+MbD+Na4i02hwSalbtoHInTmqZ6LZUW6P8Z37819qhLbEbCA2VWilND9+pMbzOSzdcP8eOZ9QWe62PvwcZr5lkwjcoSvUGfvQB4ffBe3m42iPY+jdgXnhOotfCqy4bgfaTrtMU/CFEoj9Si1sqVKxMYGMi5c+e4fv06N27cyPcRFlZ6c54XP1+Ma7N6VB2as+lQxae7YOPjRfCC1QAce+0jrCt6Uuedf66UFQoafTaRxKArXPl2Rfbzepz8nadv7ERlY8pGGHU6jr32ERV6dsChjmmtRoVeHXGsV4Pjb5TelcvwTr6cD0vh96M5L047z8UQkajl+VbeWKqVvNSuImuP3Mnei8RgMPLjjps08LOnZXUnANK0errOOELfuSdLre9FodXq2PDbSd763688N7AZ0z57zixd+vqbnQH46w/TC9md8AQ2rTvF2He6Ye+Qk0F65YXFPN/rO9LTC94xsizoMvWc3RbOummnaNS9Ir0n1MszJZyWmPnPv7k38MvK0LP49UOsmJj3ItBLByKp2ab0FrP+m4VSTSefDrzTdAI7Qnfx3ZkfzI4Pqf0i1mprTkWdxtvGC28bLyrZ+/F0ld74u5p2rLVUWTKn3WdMa5U7K1LWLJUWPFW1M190mMz64G18fMh8O4FxjYdia2HDwdsn8bOvgJ99Bao7VeKlOn1o6mn6mAMrlYZVveaxsOuMPNvo7BvA7tCiL4ItLhqVBYNqd2NFz49Ydv5vXt/5RfaxWs5+TGk1jAZuOTtAd6/cEgUKVl7MmcqyVmvYP/AH/nou57mJ2hQ+ObyU52p0zL61eEjd7igVCj4/trLkB/YAZFFrOTRhwgSsrKz44osv7ntuZmYmderUKYVemdaC7O3zOv4fvE6t8S+TERVLZmwCW1v2Jy3UtO4g8fxVtrcdRJO57+L7XFcUCgVxJ86zo9MQsx1bMyJjQanMXncCcGfbfvY/P56ApZ+iS89An5rOjvYvFni7cHHrVNeVb4b68+OOm/y8NwwXOwucbC1YPa4xFZxNqf4JvariaGPBWz9fwN5ajZWFknq+9ix5tQGqf/4Q1CoFjjYWuNrnfftlWXptyFIyMrKoWs2deQsHU6tO7jUVbu72fLvkJb78dCtbNp3FYDDy9gc9aNepltl5zq62GAzGMl/E+m+/Tj5OltaAm58t/ac2MVvUeq/tP17i6mFTOjtoRziR15Po824DbJ1NGS+FSoG1nQW2jpa5nqvXGQg+HM3gz0tnj5x/+7DFe1iqNISlhDHr+GfcTL5ldnxY3Zfp5NMBgNbeAWbHUrJSGLfHtKbMYDCQkpVC0j/ZkvLiu85T0agsuZEYxpuBn3A1IcTs+ISmI3iqqilw7lqpjdmxpMwU+m0aDZjuKknUphCfkXt8KoWKdhWb8+qO90tmEPex/ulZWKk1XIm/xQt/fsS5WPNN0OwsrOns15QhdbtzPvYGl+JucjrqKqN3zsF4T0pPb9CToE0mJj3B7PmrLu9AbzTw05Pvk67XEpUWT7+N75fLbeOhbKdsAgMD+eijj9DpdMTFxdGvXz8++ugj1GpT+JCZmcmUKVNYuXIlKSkpNG/enG+++YbatYu+n4vCeHeXq0dEYGAgHTt2LNS5CxYsYNSoUUVu4xdFrfuf9AgbuKlDWXehxMV0Kbvba0vL+mtls9iwNB24/d9On99KvP9t8Y+6Gwn//THeHPl7idZf4cdni62u268VPO11r8DAQHr37s3OnTtp2bIlkZGRtGvXjpYtW7J8+XIAxo0bR4MGDWjcuDGBgYG8++67uLm5ERwcjI1N0aZsH6kMCVDoYAR4oGBECCGEKE+UZZBoNRqNjB07lp49e9KyZUsAPD09mTlzJv379+fFF1+kYcOGDBkyhKZNTXemNmnShFu3bjFv3jwuXLhAs2bNitRm+conCyGEEMKMSqEotkdh3bp1i6CgIPz8zBe89+jRA5VKxc8//4yXl1d2MHJXrVq1cHZ2fqApm0cuQyKEEEKIB6PVatFqzadC89r+IjratIYsIsL8LitbW1tcXV0JCsr7Vvk9e/awbNky7OyKviGiZEiEEEKIckylVBTbY9asWTg6Opo9Zs3KvYtvzZo1UalU7N27l8xM87sFU1NTcwU1aWlpTJo0iWvXrlG37oPtvC0BiRBCCFGOFeeUzeTJk0lMTDR7TJ48OVebDg4OTJgwgdDQUCZPnozBYCArK4tFixaRmpqKj0/Obs+3b99m6tSprFmzhuPHj9O8eXMuXLhQ5HFKQCKEEEKUYypl8T00Gg0ODg5mj39P19z16aef8s0333DkyBE6d+7Mu+++m73h6L03mFSoUIHZs2cTHBzMjBkziI+Pz/UZcYUha0iEEEIIkYtCoWDMmDGMGTMmu6xVq1ZYWloydOjQXOerVCree+89NmzYwNmzZ4vcngQkQgghRDlWlLtjStKyZcs4cuQIn376Kb6+vvme16FDBw4fLvouvxKQCCGEEOVYeQhIjh49yujRo+nbty/vvPNOgeeGhITwwgsvFLkNWUMihBBCiDxlZGQwf/58unbtypgxY1izZk32Z18FBQXx5ptvcuxYzmda/f777xiNRl599dUityUZEiGEEKIcU5XRZ9kEBASQlpZGvXr12L17N02aNDE7npyczF9//cV3331H48aNadCgAS1btmT16tUoH2B7WQlIhBBCiHJMVUYzNocOFfx5Wa1bt+bKlSvF1p5M2QghhBCizEmGRAghhCjHymrKprRJQCKEEEKUY+XhLpvSIFM2QgghhChzkiERQgghyjGZshFCCCFEmSuru2xKmwQkQgghRDn2uGRIZA2JEEIIIcqcZEiEEEKIcuxxuctGAhIhhBCiHHtcAhKZshFCCCFEmZMMiRBCCFGOqR6T1IEEJHlo0cqirLtQohT1a5Z1F0rcreSbZd2FEheSpC/rLpS4GwkZZd2FEnUr8b89PoC0lMyy7sIjT6ZshBBCCCFKiWRIhBBCiHLscdmHRAISIYQQohyTKRshhBBCiFIiGRIhhBCiHJO7bIQQQghR5h6XKRsJSIQQQohy7HFZ1PqYJIKEEEIIUZ5JhkQIIYQox2TKRgghhBBl7nFZ1PqYDFMIIYQQ5ZlkSIQQQohyTKZshBBCCFHmVI9HPCJTNkIIIYQoe5IhEUIIIcoxpUzZCCGEEKKsyZSNEEIIIUQpkQyJEEIIUY49JjvHS0AihBBClGePy5SNBCRCCCFEOaZ8TFIksoZECCGEEHkKDAykQ4cOtGnThjp16jBlyhR0Ol328cTERMaNG4efnx/W1ta0a9eOffv2PVBbkiERQgghyrGymrIJDAykd+/e7Ny5k5YtWxIZGUm7du0ICQlh+fLlGI1Ghg4dSqtWrfj999+5fPkyEydOpEuXLgQGBtK6desitScBSTGxadka55dHgdGIwsIC7Y1rxP04D318XK5zFRoNDk/1xapBY7JCQ0g/cZT0k8fyrVthZY3LyNFYN24OCjCmpRHz9edoL18oySHlsu94KPN/OY1CqSAzS0+NSs68Oaw5rs7W2ef8uukCv2+7glKpIEOrY+SAhvTuVL1Q9Wdodfyx/Qo/rQti8aye+HjZl9RQ8nXhVATrFp9FrzeSmqylRUc/nhvaAJU6J5kYF53Gz/OOkRiXgV5vpNtzNWn7ZNX71p2RruO3xWe4dDoSoxGsbdQMHtOUKrVcS3JIuURfSuDiHyEY9EayUnVUaOZGnWcqo/znVS8rTceF9SHcPhmDNjkL58p2+PergltNp0LVr8/Uc/NAJMFbw2jzdgNs3axKcDR5a+Reh1f8+6FSKrG3tCMw7ChLz69DbzQAYGthzSv+/WlfsRlOGgcuxV9nQdBqzsZcvm/dv/SYi6+9V57Hhm+bzNWEm8U6lry08vbnzaYDUStUOGns2HzjEF+dXJ09PgulmgnNXqBPtfbYWFhxNjqYjw4u4lpieKHq7+LXjNGNnkNn0JOu0/LhwUXcTIooySHl0tqnPpMCBqFWqnDS2LPp6gE+P/yL2Rjfbf0i/Wp3xNbCilORV5m8ez7B8WH3rbuhZ3WmtB1KY88aZOp1bLl2mI/3LSFRm1rSw3ogZTFjYzQaGTt2LD179qRly5YAeHp6MnPmTPr378+LL76InZ0dAwYMYODAgQA0a9aMOnXq0Lx5c6ZNm8aWLVuK1KYEJMXAuklzPKd9Tvjrw8i8dgUUCjwmT8V77g+EvfICGAzZ51pWq4nXzLmk7t1F5PT3ICvrvvV7fzoPQ2oKYSMHg16H08AhVPxhKWEjXzS1VwoOn77NhJm7WP5Fb2pVdcVgMDLly72MfH8La795BpVKyY+/nGL99iusnPsUbs42nDwfybBJf5GeoaN/j9oF1h8RncLWfTdYui6IO9Fl86Jw4VQEX0wK5L0vn6C6vxuJcelMG72N6DupvD6lDQDJCRlMH7ONTk9V5+kX65EYn8H7w/9CrzPSoVe1Auv/8v09WNtY8PGP3VGrlWxedYHpY7bx8Q/d8avuXBpDJPpSAge/CqLdxIa4VHMgIzGTvbNOkxaTQfNRdTAajRxffAmXqg60GuNPckQa59ZcZ99nZ2k/qSGuNRwLrD8tTsvt49Fc3RpGepy2VMb0b43c6zC77UTe3DODC3HXcNY48F3nj/C2ceOToz8A8F7z1zgfF8z7B7/Ez74CrzccxFcd3mds4HTOxV7Nt+4GbrXwtfciJj2e1Kz07HIrtQaj0VBqwciSJ99j0F8fczr6Km7Wjqx9agY+9u68Gfi1aXwth3Ap7iYjts2iVQV/JjV/kV97TaX96tfJ0GcWWH/PKgHMbv86vddP5GZSBM9W78Da3p/Qe/1EotLjS3x8YApGfnnmQ55b9z4nI67gbuPEpudn4+vowegtcwH4uP1wLkTf4KWN02ntU58pbV9mfb8ZtPhpFOm6/H/3qjpVYFbH1/juxDpmJMfyVM02vN6kDw08qvHkqgnoDPpSGWN5d+vWLYKCgujWrZtZeY8ePVCpVPz888+89957ubIgTZo0oWbNmoSEhBS5TVlDUgwcnu5L+vEjOcGB0UjC2pVY1fbHskpOdkBTsw4+838mecsmYr+bW6hgxLZTV2xatiZ24begN83bJaz6mazb4XhM+rBExpOX3/6+RKtGFalV1XQ1r1QqeLFPPS4ExxB8M56I6BR++OUULz9bHzdnGwCa+HvSt3stZv1wiPikjALr93K34+Xn6tOjQ8Fv6iXFaDTy81fHadSqAtX93QBwdLHm+VGNOLDtBmeP3AZg7aIzZKRl0WtgXdM5zlZ06VOTn78+TnJC/mM8svsm547dod8rDVD/k23pObAu7t52LP7iSAmPzsRoNHJmZTBeDVxxqeYAgJWjJf59qxB6KIrIoDjigpPwaeFBrV5+OFexxy/Ak4Bx9TAajFzceP83WxsXDdW7+eDTwr2kh5Ov8Y1f5nDEaS7EXQMgXpvEgqDVPFm5HS08G1DftSa7Qg/zy6VNXI6/wfZbB5i073OUCiVD6z5XYN2tKzTm9V1TeXbTaF7c8nb248/ru9gdWjo/x48DXmF36ElOR5sCp5j0RD4/tpLnanSkvU8j3K2dWHc1kNWXd3Iu9jqLgjax/MJWPG1dqOHsW2DddhbWTGs9kjWXd2ZnRNYH7yFNl8EHrYaW9NCyzew4ih0hxzkZYXpNjU5LYMaBn3m+Tmc6VWqCh40Tqy/sZOX57ZyNusaPJ//gpzOb8bJzpaZrwWPsV6cjg/74mL+CD3Eq8grT9v3EwtObaOBZnd7V25TG8IpMpSi+h1arJSkpyeyh1eYO4KKjowGIiDDPjNna2uLq6kpQUBD+/v4o8thF1sbGhmrViv5aLgFJMVBYWGBZtTqoVGZlBm0GupgoAJS2dnjP+R7t5YvE/zS/0HXbtm4PgC7yjll52oE9WNVvhIWPXzGM4P6ydAaCb8aj0+dke7Ky9GgsVXi42nLo1G20mXq8PWzNnteplR9pGTq27w8pVDtWVmWTtIuJTCX0egKunub9b9iqIkqVgn1br6PN0LH37+vUbuRpNoVTu6EHGWlZ7NtyPd/6Tx8ypcrd/lV/49Y+BJ+PISI0qRhHk7f0WC1JYanYuGjMyj0buKBQwq2DkVjYqHMFE86V7bH3siEtpuCg8l4qS9X9TyoBnjZuVHPyIzItxqz88J0z6Ax6nqzcjuSsVHaGHjI7fiUhhNCUO3jZFhxIbbi2i6A8pnW6+Aaw4191loSKdu7Uca3M7RTz8e0OPYnOoKdvjY5EpydwLsb8d/F6YjgJGclcSyh4yqZnlQDcbZw4EB5kVn4s4iI9qwbgalVwhqw4+Ni74+9ehbCkaLPynTeOozPoeb5OZ6LSEjgbdc3seHB8GPEZyQTHFTxls/HKARK0KWZl6y/vBcDP0aMYRlD8lApFsT1mzZqFo6Oj2WPWrFm52qxZsyYqlYq9e/eSmWmeVUtNTc0ziAFISkri3LlzDBkypOjjLPIzRC5Jm9ZjWbkqbuMnZZc5PjuAmHmfYUhMAMDllf+hdnM3ZTqKQOXsAoDa1c2sPCvCFKBYVqv5ED0vvL5P1uJ6aAIzfziE0WgEYNVfF5n8WiucHa2ISzS9WcXEp5s9r4KHHQBXbuReS5OXsrq5LTnB9MeVGGvefytrNXYOGkKvJXDxdCRZmXq8fR3MzqlQyfQiffFMVL71J/1Tf0Kc+Zv63QAl9HrCQ/W/MLTJpoxcRqL5i4tao8LSzoLEsFQcKtrmecWjslRi62GdqzxfZfSDdNKY1h25WjmZlWfotSRlplDN0ZeQpLzflLW6TG6nRBZY/53U3D/jao5+qJRqrsTfeLBOF4GLlel3z93ayaw8XaclPiOZWs55X6C09PbnrT3fkKYrOKhs79MYgOuJt83KgxPCsVCqaeZV8NRrcXC1Mf09ediaT2Om6bTEpSdRx61Sns9r7VOfMVu/JDWr4DFeis2d6UvPMv19hiTcyXXsv2by5MkkJiaaPSZPnpzrPAcHByZMmEBoaCiTJ0/GYDCQlZXFokWLSE1NxcfHJ8/6FyxYQJMmTXj++eeL3LdHag2JXq8nNjYWd3f3PF80IyMjmTt3Lv3796dZs2al1q+0w/uJnjcbtzcmonJyIf34YZK3/kn68X9SuCo19r36oIuJxsK7Ig5PPYemei2ywkOJW/QdmdeD860788Y1bNt0wLp5a7LCVmeXK61Nbw4KS4sSHdtd7Vv48u6rrZi94DDxiRm0alSBpzpXJ6BxRQCqV3IC4ODJcLP1ImkZpmmmzKzyPS/r5WuPUqXg0pkodFl61BY5V/jaDB26LD0xd0xrWxxdzBdp2tiafgYxd8yvuu5VsbIjpw+Fc+7YHbx8chbrav/5/mSVwvfHzssahRJiriRi0BlQ3pPl0Wn1WOgMeT4vK11HUngqzXoUnAovD0KTI9AZ9DR0q41aqTJbD2Cl0mChzPslz0ZtTRVHH365vKnIbT7h15pdpZAdAbiReBudQU8L77pYKNVkGXJuv7Sx0GCZaf56YKWyZHzTAVRy8OJqfOh96/exN2WIov+1ViQ5M8103K7kp+KuxYejM+gJqOifa4y2FlYkqczHaK3W8HarF6js6MWV2FsP1GbzCnWISUtkx43jD9X3klKcd9loNBo0Gs39TwQ+/fRTfH19WbVqFZ07d6Zp06bZxzp27Jjr/PDwcL799lu2bduW53v0/TwyGZK5c+fi6uqKt7c3Li4ujBkzhpgY87Slp6cnDRo0yF4RXJoSVy0n4ddlKJRK3Ce8j2W1GtnHrOr4o3JwRHcnnIwLQURNf58774zBsmo1fJaswqJS/ndoJKxejj4pEZfhr2WfZ+Hjh22HLgDoogq+oitOQ/vWZ1jfBuj1Rj757qBZ1qNdM18a1vFgy97rbNtvulJMTNaydvMlALzcbPOss7ywsbWk54A6xEalsWr+aQwGIzqdgd2brqJN1+HibktKsukqSvOvaSXVP68Wmdr8g4oez9fGxs6S9UvPEh6SCEBEaBLH9preJFzcS/77Y2GtpsaTvqTHaTn32w2MBiMGnYEbe+6g1xqwds77RepG4B2cKtlRsQzXhRRWmi6d1Vf+wtPWjVfrD0SBApVCRe8qHbGxsCI6Pe9M3dPVOnMlPoRdoYeL3GZn31bsvFU6AUlKVjoLgzZS0c6dSc1fRIECtULFwFpPYGthTURqbPa5HjbOjG86gN5VW9PQvTqb+nxGDae8r2rvctKYMprpOvMsmt5o+t22UhfujexhpGSm8/2J9fg4ePBB25dNY1SqeLFeN2wtrbmdkjNGT1sX3m71As/UbEtjr5psG/QlNV2KFjgrUDCsYS8+PbSCtAIWw5YlpaL4HkWhUCgYM2YM+/fvJzAwkDlz5nDgwAEsLS0ZOnSo2bmZmZkMHjyYH374gZo1Hyxz/0hkSBYvXszbb7+Nj48PgwYNwsbGhoMHD1KjRg0WLVpE3759s89t2LBhkerWarW55sK0BgMaZdFiNbc3J5Oy428ygk7jMmoM7uPfRe3hRew3X6Dy8AQgZc9Osm6a3qx1kRHEfvcl3p99g8uI14mc8nae9epjogkdPhDXUWPwmvEFmcFXSDt+BIuKvhjS0tBeOl+kfj6MT747SM+O1Wji78m8pceZ9eNh7kSn8u6rrVAqFSye1YNvl5/kh5WnWL/tCg3reHA7ypQ1aNHQu9T6+aAGvtYYVw9bDu0MYea47VS+53bcOo09sPhnXcS/A4/MzH9uJXXI/8Xa2c2GTxb1YO2iM3z90T78qjnh39SLqNvJaKzVVK3tUgIjys2/fxWsXTSEHY1i32dncKqck61xq+2U6/z0eC3Xd4bT5u0GD3TFUxZ+PLuKqLQ4uvgGMK/j+1y+ZyrlVPTFXOe7WTvzXPVuTNiTex79fvxda6DVZ3Ij6f63mhaXT48u505KDE9Va8uvvaaarRc5fCfn9SAqLZ5Pjy7ns2Mr+V/DZ3mn+WDGNRnAmF1z8q1bqzdN61mpLM2mdzT/ZCUStMnFPZw8Td+/lNvJMTxbqx3r+83kTFROFvlAWM76lsjUOKbvX8qMAz8ztllf3m/7MhNbvcDIzZ8Vuq3hDXsRnhzNz2eLdovq42jZsmUcOXIkO3Nyl9FoZPjw4bz00kv06NHjget/JAKSL774goCAALZt24atbc6V5PHjxxk7diynT59m+vTpAFhYFG0KY9asWUydOtWs7I2K7oz1LfziJse+A7Hyr0/Ml6YXtLgF36JQqXEeMoK0A3tAb3oDM6SZ386aenAvRl0WmnuyKXnRhYcS+VHO+hSbVm1Ru7qRuG4VxnwWFhW3lRvPc/ZSFB+MNt3iNW5oM3R6AwtXn6FjSz9aNaqAnY0l777aKvs58UkZzP/lNDUqOdO0Xt77NpQnCoWCbn1r0a1vreyyD1/dgtpCSfse1bhx2XR1nZxk/j1P+edrN0+bAuv3rGjPmI/aZn99+nA4iXEZPNGnJpaa0vlTVCgUVHuiItWeqJhdtnv6SZRqBZXaeJqda9AZODb/Io2G1MDeq+CxlTe/B2/j9+Bt2V//2GUqmfos/r6xx+w8tVLFhy1HM+fEEkJTir7PxhN+AbkWyJaGZRf+ZtmFv7O/Xv/0p2j1Way9sivXuQajge9Or6NrpebUccl7/cVdN5MiqO1SCWcre9JScgKSu2tz/r2YtiQtPvMni8/8mf313wO/QKvLYtX5HbnONRgNfHVsLd2rtaKuW5VCt9HAoxqD/J/gmd8mY8RYLP0uCapycDFw9OhRRo8eTd++fXnnnXfMjo0ePZoGDRrwyiuvmJVHRETg5VX41/5HYsomJCSEqVOnmgUjYNqEZf/+/WRmZjJs2DAMhrznwAuS1wKfVyu63f+J97Dv/SxZ4eZXSLHzv0YXHYltu07ZtwOrPf+VJdDr0Scmok8o3IJPUyVq3Ma9Q1bEnSIvkH0Y67ZcwcfbfDHn+KHN8HC1YfehvG8H/WzBEbJ0eqaOb/vIXF3fa+/f17h2IYZ+rzTE1dOW2o08UKkU3LllfkdMZJjpqrFes8JngXRZelZ+ewJXDxv6vdKgWPtdFDf3RxB/PZk6fSpj45qzNsZoNHJi8WX8Wnvi1aB0N24rbt0rtcPftQaLz/9G1L+mbCY3f5WtN/dzJOJMketVoKCTT0t2ldJ0TX761uhIE8+azD2xijv3TNn825E754nNSCywroO3TdmHqo4VzMorO3qj1WeZZWBK04C6nWnmXZvZh1YUGBQdDD9HbHrBY7zLx96dz7uMZsimGaRkpt//CWWorKZsADIyMpg/fz5du3ZlzJgxrFmzJvv13Gg0Mnr0aBITE3n66ae5dOkSly5d4tSpU3zyySds3769SG09EhmSKlWqYGdnl+cxpVLJ7NmzWbBgAf379+fjjz8uUt15LfAp6nSNMT0NC99/XXkYDOjj4zCkp5MVFkr6mZPYte9M3I/zsk9RWFujcnImYeVPOc9TqVGoVXlnPhQKPD+chdrDi/CxI7Lv4CkNNtZqboab/6GrVEpcnayxzuNW3V82XmD9tiu8978AmvibR8gZWh0qlRILde7vc/Y1irFsr1auXYhh6ZfHaN7Bj96DTHuO2DloaNW5EkHH7mA0GrP/KC+eisTW3pKWnXLucNDpDBj0hjwzHwaDkR8+OUhsVBqTv+yCvVPp72QKEHc9idMrrlKhmRs1e5rPu59eHoyjry2V25sHWRmJmVg5WgKmHVkVSoXZ4thsd398ZfxzrONSjTebDCMw9Ai/XDJfsPpWk2FcS7jFXzcCzcpdrByJ++eN21Jlgd5gyF5Dca8mHnWJzUh4oMxKcWnoXp3pbUay+fohfjyzvsBzfew92Hhtv1mZRmWJ3qBH98/41gfv5e1mg2jv04h94TlBWguvumwI3lfghmMlpbFnTWZ3+h+brh7gm+PrCjzXz8GD3y+bZ8GsVJbojHqzBc5etq4s7DWJN7Z+SXhytNm5apWq3AUoZbV1fEBAAGlpadSrV4/du3fTpEkTs+OvvvoqCxcuBOCXX34xO+bs7Mzt2+Z3a93PI5EhGT16NEuWLCnwnFGjRtGvX78Huvf5YcWvXIpVHX/se/XJLrNt1wm1uydJG9YCEP3ZNFTuHji9ONx0gkKB2+gJZF67SsJvOT9I32VrqLRuKwor81ssLSpVocLcH9HU8Sds1GC058+W+Lju9Ur/Bpy/GsO6rTl7MOw8GEJETCrP96qTXRafmMGsHw8xZ8lRvvqgC0OerWdWT1p6Fk8MWcVzr/+eZztxCaYXgtgCNhkrSZlaPTs3XGHWWzvp9lwtxk5rZ5bdeeF10x/knr9MeyBE30lh16arvDS2Gbb2OYHt+69sZvzzf5CRrjOr//bNRD57exc3Lsfy8Q9PUsO/9BeK6rMMXN99m/1fnKVal4q0/F9dsyue08uvokvX4d3YjeQ7aSTfSSPhZjKXNt4k6rzp7gudVs+WiUfY9fHJPNvQJpsWRWqT7r/5X0mwVFrwdNXOzG0/md+Dt/Hhoa/Njr/ZZCi2Fjbsv30SP/sK+NlXoIZTJYbU6UNzz/qA6a6cNT3nsbjrjDzb6OIXwM4HWARbHDQqCwbV7saKnh+x7PzfvL7zi+xjtZz9mNJqGA3ccjZl7F65JQoUrLyYM41lrdawf+AP/PVcznMTtSl8cngpz9XomH1r8ZC63VEqFHx+bGXJD+weGpUFQ+p357e+01l85k9e+fPT7GN1XCsxvcMIGnnmTHf3qh6AAgXL7lkLYqPWcOKVxewcnHMhWMHOjTXPTWPhqU0YjEaqO/tQw8WH1j71+aHHhOxtDQQcOnSIM2fOsHLlylzBCJhu8TUajXk+4uLisLIq2sXWI5Ehef3115k1axbvvPMOEydOxN097xfxF154AYPBwMsvv1yq/Us7sIc7k8biPPRVnAa8hD4+Dn1iAqEjBqGLNF09ZV4PJvy1IbiNfQe7jk+AQoH20gXCxww327FVHxcLCiXGf3Zlte/5DI79B4FeT/LWv0jauA6jtvTfrDu1qsS3H3Xlh19O8fP6c7g6WuPkoGHN189QwcOOyzfieH/OHnQ6A22a+rB5cX88XXPfOaJWKXFy0ODmbB5w3Y5KYdz0HVy4akrHvjplC706VWPK6NLbOfGj17aQmaHDp6oT7897Is/PmHF2s2HKt91Y+uUx9m65jtFgZPjbLWnWzjzD4OhshdFgzL4DZ8/ma2xbdxmVSkHrblXo1Lt6rrt1SkPgJyfRZxpwqGhLu3ca4nzPolaAU8uuErLHtBdD6GHzPTcsbNX0/DIAAIVSgaWdBRpH8zVbabEZHPnuAgk3TdNYB78KwqelB41eLHidVHH6ofNUrNSWXE8MY1zgJ1xJCDE7PrHpCJ6u1hmAbpXMf7+StCk8u2k0YLqzJCkzhXht7k3rVAoV7Ss2Z8T290tmEAVY//QsrNQarsTf4oU/P+JcrPkmaHYW1nT2a8qQut05H3uDS3E3OR11ldE755itk9Ab9CRok4lJTzB7/qrLO9AbDfz05Puk67VEpcXTb+P7pbZtPMDmAV9gbaHhUsxNnv3tvVyboNlZWtO1SnOGN+xFUNR1LsSEcDLiMiP+mm02Rp1RT1xGEtFpCQB42jqz6fnZ+Dl6Mr/nxFzt/nRm8333MSkLRUzaP7IUxkcoHMzMzCQpKQk3t4LXeKxcuZLBgwc/cDvBAfXuf9IjrNqqoWXdhRJ3wrp8pVxLwrrg++8r8ajbH5b/3i7/BbcSy9+bX3FLSyn4s3P+C6Lf/PP+Jz2Er8/8r9jqGtvwh2Krq7g9UnGXpaXlfYMR4KGCESGEEEKUvkdiykYIIYR4XD3I3TGPIglIhBBCiHKsrO6yKW2P1JSNEEIIIf6bJEMihBBClGMyZSOEEEKIMlceto4vDTJlI4QQQogyJxkSIYQQohyTKRshhBBClLnH5S4bCUiEEEKIckwpa0iEEEIIIUqHZEiEEEKIckymbIQQQghR5mTKRgghhBCilEiGRAghhCjHHpcMiQQkQgghRDn2uAQkMmUjhBBCiDInGRIhhBCiHFMqHo/cgQQkQgghRDkmUzZCCCGEEKVEMiRCCCFEOfa4ZEgkIBFCCCHKMQlIhBBCCFHmlI/J6orHY5RCCCGEKNckQ5IHr6aeZd2FEqXwqlPWXShx129tKesulLgTEWll3YUSFxzz3x5jRmJGWXehxKXHp5d1Fx55MmUjhBBCiDL3uAQkMmUjhBBCiDInGRIhhBCiHJOdWoUQQghR5mTKRgghhBCilEiGRAghhCjHJEMihBBCiDKnVCiK7VFUgYGBdOjQgTZt2lCnTh2mTJmCTqfLdd7+/ft55plnmDZt2gOPUzIkQgghhMglMDCQ3r17s3PnTlq2bElkZCTt2rUjJCSE5cuXZ5+3fPlyfvvtNzZu3Ejjxo0fuD3JkAghhBDlmFKhLLZHYRmNRsaOHUvPnj1p2bIlAJ6ensycOZMVK1awdevW7HNfeuklZs6c+fDjfOgahBBCCFFilCiK7VFYt27dIigoCD8/P7PyHj16oFKp+Pnnn83KbWxsHnqcMmUjhBBClGPFuahVq9Wi1WrNyjQaDRqNxqwsOjoagIiICLNyW1tbXF1dCQoKMitXFEMfJUMihBBCPCZmzZqFo6Oj2WPWrFm5zqtZsyYqlYq9e/eSmZlpdiw1NTVXUFMcJCARQgghyrHiXEMyefJkEhMTzR6TJ0/O1aaDgwMTJkwgNDSUyZMnYzAYyMrKYtGiRaSmpuLj41Ps45QpGyGEEKIcK84pm7ymZ/Lz6aef4uvry6pVq+jcuTNNmzbNPtaxY8di69NdEpAIIYQQIheFQsGYMWMYM2ZMdlmrVq2wtLRk6NChxd6eBCRCCCFEOVZedmpdtmwZR44cyc6cFDcJSIQQQohyrDx82u/Ro0cZPXo0ffv25Z133sl13Gg0mv37IMp+lEIIIYQolzIyMpg/fz5du3ZlzJgxrFmzJs9bfKOiosz+fRCSIRFCCCHKsbKasgkICCAtLY169eqxe/dumjRpkud5r776KuvWrQNgwYIFnDhxgo0bN+Ll5VWk9iQgEUIIIcqxouywWpwOHTpUqPPmz5/P/PnzH7o9CUiEEEKIcqy8LGotabKGRAghhBBlTjIkQgghRDlWHu6yKQ0SkBQTVZ1mWD45GIwGUFtiuBNC5sbFGFMSALB4cjCap4bn+dzM3b+Tue67ghuwdcB22i8oNNbZRVlHtqFdPru4hnBf+w5c4seFO1AqFWRm6qhezYu3xvbE1dU++5xfVh/g9w1HUSmVpGdkMmp4F3r3zHsh1L0ioxKZ89Vf3AqLQa1Smjbk+d+TtGxevSSHlMuNs3Hs+uUaBr2RtOQs/Nt40mlQVVQq8xeEm+fj2f97CBWqO9DphWpFbkevM7Bw4lE8/Ox47s16xdX9QmngVochdZ5DpVRhb2HLvtvHWH7xdwxGAwA2amtertuPNhWa4qhx4Er8DX46v4ZzsZeL1I63rQfPVe+ORmVJaPIddtzaT7w2sSSGlEtAhXpMbD4QlVKFs5Udf147xJxjq9D/M0YLpZp3WgziuZrtsbWw5nTUVT7Yt5DghPBC1W+lsuT52p0Y1fBpBm6aSljyg99Z8CDa+DVgcrsXUStVOFnZs/HyfmbvW2E2vvfbD6GffyfsLK05eecKk7Z9z9W4sCK1o1aq2DrkSy5F32T0X3NKYij5al+1EVO6DUOtVOFs7cD6oEA+2bEMvUEPgIVKzUfdXmFg4yew01hzIvQyb26Yx5XoW0Vqp6pLBd5o1x9rCw1XokNZeWIrkSlxJTCiB/e4TNlIQFIMVDUaYTXsA9K/egvD7eugUKB5YQJWr88i/fPRYDRg0epJjOmpGJPjwWDIfq7CvSL6oAP3bcOyw7MYk+Mxxkdnl2Xt21gi48nL4aNXeeud5Sz/aTS1a1bAYDDwwdQ1jHx9IWt/GY9KpeSHBdv5Y9NxVi4dg5urPSdP32DoyB9IT8+kf99W+dadkZHJ8Fd/pEe3Rnw2cxAAhw5fYeTrC1i+eDQNG1QqlTHeOBvHimmnGDqjKb61nEiJ17Jo0jESotLpN6F+9nmnd93m/IFILh2JxruqfQE15m/7z1cJv5qEh59dcXW/UBq41WF66wlM2jeLS/HXcNI4MLf9FDxt3Pjs+I8ATGz2Khfjgpl6eB6+9t6MrPcCs9tNZuLeGVyIu1qodvpUe5IBNXvzxYn5nIg6V5JDyiWgQj2W93qf/hs+5FTUVdysHfnj2Zn42nvwxs6vAPiw9ctciL3J0M0zaV2xHu+1eom1z0yn9crXSNdlFli/t60rvau15tWGT1PR3r0URmSujV8DVvWfSp9f3+XE7cu42zix+aUv8HP05LVNnwMwrfMIzkfdYNBvU2nr14CPOg1jw6DZNP1xOOm6wn8o2ocdhtHEuyaXom+W1HDy1L5qI34fNoseC97iWOhFPOyc2fm/b6jk7M3w1TMAmNXrf5y7c41+y96jfdXGfNJjFFte/RL/2YNIzyrcGEe36cuEToMYtXoWO64eL8khiUKQgKQYqFv3QH/5lCkYATAaydqzHpvJC1B6VwZrW3QndpO5eZl5MOLsgfXb36C/erbgBiytUNVtQdq0l82eX5rW/n6EgJY1qF2zAgBKpZKXXmhHn+fncPVaBE4ONvywcDuTJjyD2z8ZkyaNqtDv2ZbM/OwPnuhSH2cn2zzrPnHqBsHXIhn2csfssoBWNalS2YPNW0+XSkBiNBr5a8ElajRzw7eWEwB2zhqeGFKd1Z+epWFHb2o0dQOgUecKeFdz4NKR6AJqzN/VEzEY9A++edDDeL3hSxyNOMOl+GsAJGiT+On8Gqa0GsfOWwdI12WwJ+wwgWGHTX1NuMGt5Nt802kag+s8y/sHPrtvG0Pr9ufpqk/w1t7phCQV7Yq8OHzSbgQ7b57kVJQpeIpJT2TW4RUs6j6JdVcCOR8TwtrLgZyNNn0PgmKuU9HOnZENn6Kmsy9n/inPz53UWBae3YSXrQuvN362xMfzb7O7/o/t145x4rYpYxWdlsD0wKUse+4D1pzbxbmo66w6t4MzEcEAnI0MxsfRnf81f5Zabn6cjihcUNmlalNUyrKZKpjzzFi2XDrCsdCLAESlxPPhloX8+tI0fjm1jaDb11h5Yiunwq8AcDr8Kr5OHrzRrj91PCtzMuz+2bypT47g1dZ96Pz9G1yIvFGi43lYisdkyubxGGUJU6gsUHpXgnv/eNVqjJlaDIkxGBNiyPzzp1zBhLppZ3Sn95mmeQpg0fYpjAlRKCsWfWqguGRl6bl6LQKdTn9PmQ6NRo2HuwOHjlxFq9VRwdvJ7HmdOviTlp7J9h35B11ZWaY6L12+navc18el+AZRgMToDCJDUnBytzIrr9nMDaVSweld5n2z1DzYn05yvJaDG27SbWjNB+7rg/KwdqWqox9RaTFm5cciz6I36Onq15bUrLTsYOSu4IQQwpPv4GXjdt82OlRsyaDaz/DD2RVlEoz42LlT17Uy4SnmweKuWyfRGfT0r9WJ6PSE7GDkruCEcOIzkrkaX7gpG6BImYbi4uvggb9HFcKSzKeIdlw/hs6gZ2D9LkSlxmcHI3cFx4YRn57M1djQQrXjYevMa82fZWrgT8XW98Lyc/Kkvnc1QhMizcq3XjqCTq/jxaZPEpkSlx2M3HUlOpS4tCQuR91/yqZfw05M6vISEzd+W+6DEQBlMf5XnpXv3j0isg5vQelVCcu+o7PLLNo+hfb37yE1CWPsnTyfp27aEd2JwIIrV6mx6NQXdaP22Ez6EZspS1HVDyjG3hdO3z4tuH4jipmf/ZG9NfCvaw8xeWIfXJztiItPASAmJtnseRW8nQG4Epz39wCgdauaVKzgzLsf/EJUdBJgmiJyc7Xn+b6lM9bURFOaPjnePF1vaaXG2sGCyJsp5k94gDldo9HIpu8v0nNUbdQWpf+n56hxAMDFysmsPEOvJSkzhcqOvtxMzvsNWavP5HZqweskLJUWvNpgMOEpkey4tb9Y+lxUrtamMXrYOJmVp+u0xGckU9s172xbQAV/xu38mjRdRqHbKoscl6uNIwCetuaBelqWlrj0JOq6V8nzeW386vP6n1+QmlW48X3x5Bgmb/+RTH3Ww3X4AbjZOQHgZf/vMWYQm5aEv1fVPJ/XrmpDRqyeRWpmeoH1W6ktmd17NNdiwlhxcmux9FkUj//ElI2lpSWnT5+mbt26ZdK+/sJRtOu+x/LZ11DYOaK/cgrdsZ3or5zK9zkKT18Utg4Yrt9nfl1tgfbXuSgc3VDXaYaqUVusX/0E7fofydq5tphHkr8O7eoweeIzfPrFRuLiUwloWYOnezYhoJXpSr96NU8ADhy+YrZeJC3d9AafmanLt25LSzULvhvJ0FE/0n/QV7w9vhexcSks/vFVLCxUJTiqHK4VbVEqFdw8H48uy2AWMGRl6NFlPfxU2f51IdRu4Y67T95TVyUtPCUCvUFPfbdaqBUqdMacbJeVWoNFlkWez7NRW1PJwYc1x/8ssP6WXo1ws3ZhS0ggL9V5jqqOfrjbuHIiMogVF38n01Dyb27XEm6jM+hp5e2PhVJNliHn987GQoOl1nyM1mpL3mo2kMqOXlyJL1z2oCxdiwtHZ9DT2rdeHuOzwlL17/FpmNR2MJWdK3AppnCLPce27MeWq4cJLuIC2OJyNToUnV5H2yoNsVCpydLnjNHW0gqN+l9jtNDw/hNDqepakUuRIfetv0edACo6urP06F9M6TqM+t7V8HHyYMeVY8zYvpSM+6whKgsyZVOO7N27t8CHwWDg+PHjZmWFpdVqSUpKMnto9UV/88navY6sXWtRKFVo+r+BskLeVyp3WTTtjO7UnkJ0MB39haPoDm0mY8k00ue8gSE5HstnRqKskPeVQkkZ+lIHhg3pgEFvYPrM37l8NSfr0a5NbRo1qMSWbWfY9s/0TGJSGmvXmXb68/R0KrDu6tW8+GzGINq2rsUHU9ew78AlUtMKf7X6sKxs1LR+thKJ0RlsX3YVg8GIXmfg+NYwMjP0OLpa3b+SAoRdTiTqVgpNulYsph4XXZound+ubsbDxo3h9QagQIFKoaJ75Y5Yq62ISc/7zoKeVToRnBDCnvAjBdbfxNO08Dc2I4E1V/7k48NfsvbKn/Sv2YtP2kws9vHkJSUrnR9Pb6CivTvvtXoJBQrUShWD6jyBrYU1d1Jjs8/1tHHmrWYDebp6Gxp51ODvfp9T09mnVPr5oJIz0/juyDp8HD34sOOw7PG91LA7dpbW3E7OmarysnNhUtvB9KnTnibeNdk19GtqufoVWH8T75rUdq/EL0HbS3oo+UrWpvHV3jX4OnsyvccoFArTGIe16IWdxobwhJwxeju48v4TQ+nXsBPNfGuzf+x8ansUvOasS41mANxJimFO4K/0X/Y+cwN/5a0OA9nwyv3XSJUFpUJZbI/y7JHIkHTt2hWdLv8rbIBhw4YBprS4QqFAr9cXeP5ds2bNYurUqWZlk5tX5r0WRXuzt+w3Gt2J3RhuXMCy11A0/UajcPYgc/2PeZ6vbtqJjGWzitQGgOHmZTIWfozNW/NQN+1I5t2FtKXgk09/p2f3xjRpVIWvvv2bWZ9vICIygXfffgalUsni+a/y7Q9b+X7Bdn7fcIxGDSoRfjsegJbNCr5999CRq+w7cIkZUwfwfN9WjBqziBeGfMPKn8bg4lI6d6J0G1oDRzcrgvZF8NN7x6lQ3SH7WOX6zg9cb0aajh0rghk4uWFxdPOhLD6/muj0ODr6tOKzdu9xNSFn/vxszMVc57taOfN01a5MPnD/28vdrE0p9g3XtpGhN62vCAw7TAefVrSp0Izmng04FnmfBdzFYMbhn7mdEkOfGm357ZnpZutFDoXnZCQj0+KZcfhnZh1ZwZjGzzG51Yu81Xwgr237osT7+DA+DlxCeHI0z9XpyMZBs80Wqe6/FZT9/xEpcXwcuIRpe5YyvlV/pnQcxjttB/PKhrxfd+wtbXi/w8sM/X1GiY/hfj74ez5hiVE837AzW0d9ycl71ovsvX46+//vJMXywd/z+XDLQt7uOIhpPUbyftehvLRyah61mlR0NN0Z9f2B37Ond9ae2UW/hp15pl47utVqybbLBQffomQ8EgHJvn37GDx4ME8++STNmzc3O2Y0GhkxYgTTpk2jYsWiX31OnjyZt956y6wsa9IzRarDov0zqCrXIfM3014imX8tBZUay24voD93GP3V02bnK31qgFKF4VbR9nW4y3D9HPqQiyhsHuyW0wexctV+zpy9xQfvPgfA+DE90On0LFyyi47t69KqRQ3sbK149+2c7118Qio/LtxBjWpeNG2Sf8YoOiaJ0eOXsHbleAAaNqjE4h9H8eLQ75g9ZyOzZwwq0bHdpVAoaPWUH62eyrmKnD/hCCq1giZPPHhm4+KhKK6fjmXWwN25jp3edZszu+/QZ5w/jbtUeOA2imLj9e1svJ5zBTyv48dk6rPYdtM8s6hWqHi3+et8c/onwlMi7lvv3f0hUrPM5/AP3j5BmwrNqOzgWyoBCcBP5zbz07nN2V//+dxstPosVl/eletcg9HA1yd/48kqLaibzxqT8mbhiU0sPLEp++ttQ75Eq8vk17Pbcp1rMBqYe2g1PWoG4O+R/99hz5oBdKzcmOtv5p4KHli/C8/X68yYv+ay+tzO4hnEffx4cD0/Hlyf/fWe0d+j1WWy/Pjfuc41GA18tnsFvf3bUN+r4MX/un9+T5O0aWblf57fzzP12lHPq2q5C0gUj8ZkxkN7JAKSFi1acPLkSd544w2io6N5++23zY6PHDmSPn36PNAaEo1Gg0ajMStLURXth69u1R1DlPl8a+amJahbdEVVPyBXQKJu2gndycAi9/VexvhoDHdCHqqOoli3/iiVK5nvufDmGz3Z8OdxdgWep1WLGrme89mcjWTpdEz9sH+eH1d915ZtZ0hN1eLr45pdVq+uL4NfaMOa3w7n+7ySdmpnOGGXE+k6tAaO7g8+ZVO7pTujv8m9OPfbMYeo1dKdJ16sjoPbw00JPaiufu2o41KdRedWEf2vKZsJTUex89b+QgcRIUmhtK7QFA8bV7MA5u5maImZyfk9tUT1r9WJpl61+OTQMm6nxOR73qHb52nqWfp3Pz2sgfWfoHnFOny8ezHhyfmP7+CtIJpVqJ3v8b+vHqbtov/lft7I+fx99TAz9iwrsP6S9GLTJ2lZyZ/3N/9IWGL+t9vvu36Gln4Fvw+cj7jOU/5t8XXyIDgm53U7Itn0+x+TmlAsfS5O5X2qpbg8MqO0t7dn6dKluLm50a9fP6KjH2wPiBKhTUfp8a8raKPBtAlaZu51EKa7a3JfLQNgYQnK+yzkVKnB1oGso6U3z2tjY0nILfPvuUqlxNXFHmtry1znr1x1gN83HGPShKdp2tj8qiwjIzP7Vl9T3aaAMOSmef0e7o551l0awi4n8ucPl6jb2oN2fSvnPuGfO43yu9MiS6tHrzOtRbK2s8Czsn2uB4C1remYtV3eC0pLUi3nqoxp9DL7wo+y5or5gtU3Gg3leuItttw0X+fkrHHM/n9LpQUqRc7v6s5bB9Ab9LSp0MzsOd62HmTotJws5Q3SABp51GBW+1H8ee0g351aX+C5vvYerL+6z6zMSmWJOp+/R8W//i0LTbxr8nm30Wy4tI95hwte5O7r6Mm6C4FmZVbqnPElaVO5GHMz1wMgMcN0LEmbWiLjKEgz39p81Wc8v58NZE7grwWeW8nZi9WnzTM4944R4JeT29HpdTxTr53ZeVVcK5CWmcHOcrhBmgJlsT3Ks/LduzwMHTqUGTNmMGTIELZvL7uFV/fK3LkGlV8t1K2ezC5T1W+N0smdrAN/mZ2rrOoP2oycTdTuZWmFzdSVWL+bs+5E3bQTlv3fQGH/zxoGtQWWvYaSuWEBZKTlrqOEvDK0E+cvhLHuj6PZZTt2nyMiMoEB/XKu/uPiU5j1+QbmzPuTr74YwpDB7c3qSUvT0qXHDJ4bkLMNdfduDfGp6MLnX24i/Z+7cmJjk1n92yFGvdK5hEdmLitTz7G/Q1k65QQte/sy4N2GeWZ3Uv65TTg1IfeK/MwMHXNf2cf348ouu1MQC6UFvap05tO277Lh2nY+OfKN2fExDV/GVm3N4Tsn8bXzxtfOm2qOlRhU6xmaeJi2ubdSafi5+5d83/mT7OeFptxhxaX1PF+zN7523oDpFuN+NXqy4tL6fBfNlgSNyoKX6nZj9VMfsyRoM6O2fp59rLZLJaa2GU5Dj5x1TT2rtkIBLD+fcxuotVrDkZfms63/3DzbcLN2NPu3NGlUFgxt1JP1A2ex6MRGhq2fmX2srntlZnQZRWPvnGxP75ptUKDgp1M501g2FhpO/28pe4Z9W6p9LyyN2pIRLZ/irxFz+OHgegav/Dj7mL9XVT57ajRNfXIyPs/Ua4dCoWDRkZwdrG0srLg0eRWHxy3KLrsSfYsZO5YxoeMgarqbpme9HVx5s/0AZuxYSngBGRhRsh6JKZt/q1WrFhs2bGDSpEns2LGjwOmA0qA/d5j0BR9i2X0wFh37YkxJwJiaRNoXYzDGm+/doG7amayT+WRHDHqMqUkYk+Kzi4yZWtT+LbFo/gT6yycx3LlB5s41kJpUkkPKpVMHf777ahjfL9jOshV7cHWxx8nJhrUrx1PB25nLV27z3ker0en0tAmoxd8b3sXTI/cLtVqtwsnJxuzzb2xtNCxfMprP5m7i6X6f4+XlhAIF40Z358mupbcQdMGEI2Rq9XhWsmP4zGZmi1rvteHbC1w4aNq06fjWMG4HJzH4w8bYO5syPUqVEmsHC+ycyia7U5CvOnyERmXJzaQwJu6bSXBCiNnx8Y2H07OKKQjs7NfG7FhSZgovbH4DAL1RT1JmSq7Ppll56Q/iMxJ5r8UY0nQZqBRKfrn0B1tvFv7Ot4e16blPsVZruBx3i34bphAUYx7821la0aVSU4bW68G5mBtcjA3hZOQVXt32BcZ7cl56g574jGSi0xLMnl/Rzo2FT75DfXfTWoUVvaaw/uo+Pti/sMTHBrB1yJfYqDVcjAnhqV8mcTbSfBM0O0trulVvwYimT3E28hrno25w4vZlhv8x02x8OoOBuPRkosrhFEXg6O+xsdBwIfIGTy4Yz+lw891l7TXW9KgdwGsBz3L69lXO3bnOsdALvLjy4+x9ksC0XiQuNYmof302zaydPxOVEs+KwR+RrE1DpVTx6c7lLDu+mfLocZmyURjv/ek9gv766y/mzp3LkiVLqFSpeBakpYzpUiz1lFd2c966/0mPuDW3tpR1F0rcoqD4+5/0iAuKSLn/SY+wjMTSu7W9rKTHF7xR2X9BxmeF2MLhIdxJW1JsdXnb5P0hr+XBI5khuVevXr3o1atXWXdDCCGEEA/hkQ9IhBBCiP+y8v4ZNMVFAhIhhBCiHJOt44UQQgghSolkSIQQQohy7HG5y0YCEiGEEKIcU1A6n3pe1h6PsEsIIYQQ5ZpkSIQQQohyTKZshBBCCFHmyvtn0BSXEh3lunXr+PLLLzEYTB8y9ssvv5CUVLpbngshhBCPMqVCWWyP8qxEexcbG8vzzz/PqlWrABgwYACrV68uySaFEEII8Qgq0Skbo9FIxYoV0el0AKhUKqysrEqySSGEEOI/5XHZGK1EA5LY2Fh++uknsyAkOTm5JJsUQggh/lMel63jS3SUkyZNIjAwkFGjRtGhQwe6detGevp//5MfhRBCCFE0JZohUalULFu2jMmTJ3PmzBlq1KhBkyZNSrJJIYQQ4j/lcZmyKdFRnjx5EoDatWvTvXt3qlatWpLNCSGEEP85ZXmXTWBgIB06dKBNmzbUqVOHKVOmZK8LvSs8PJy+ffvStm1bWrVqxYoVKx5onMWeITlx4gTXrl2jc+fObNmyJTsjYmtry5IlS6hVqxYdOnQo7maFEEIIUYwCAwPp3bs3O3fupGXLlkRGRtKuXTtCQkJYvnw5ADExMbRv356RI0fy7rvvEhUVRePGjcnKymLYsGFFaq/YMyR2dnZs2bKFZs2asWjRIsaPH8+GDRtISUlh1KhR3Lhxo7ibFEIIIf6zFCiL7VFYRqORsWPH0rNnT1q2bAmAp6cnM2fOZMWKFWzduhWAKVOmkJyczNtvvw2Ah4cH//vf/xg3bhwxMTFFGmexByS1atViyZIlhISE0L17d+rXr8+6deto3Lgx9erVyx6EEEIIIe6vLKZsbt26RVBQEH5+fmblPXr0QKVS8fPPP5OWlsbSpUvp0KEDanXOhEv79u1JTk7m559/LtI4S3RRa+/evenZsyevvPIKANHR0bi6upZkk0IIIYR4SNHR0QBERESYldva2uLq6kpQUBB79uwhIyODmjVrmp1Tu3ZtAPbs2cNbb71V6DZLdFFr9+7ds/8/KSmJdevWcebMmZJsUgghhPhPKc4pG61WS1JSktlDq9XmarNmzZqoVCr27t1LZmam2bHU1FS0Wi0hISEAeHl5mR13dHQEyD5eWCUakHTq1Ik6deowevRoduzYQd++fdm7d29JNimEEEL8pxTnlM2sWbNwdHQ0e8yaNStXmw4ODkyYMIHQ0FAmT56MwWAgKyuLRYsWkZqaio+PD3FxcQDY2NiYPffu9E1R9x0r0SmbAQMG0Lx5c4KCgvjjjz8YPXo0ffv2LckmhRBCiP+U4tyHZPLkybmmUTQaTZ7nfvrpp/j6+rJq1So6d+5M06ZNs4917Ngxexf2fwceGRkZALi4uBSpbyUakGg0Gpo3b07z5s0ZPnw4UVFRsqhVCCGEKCMajSbfAOTfFAoFY8aMYcyYMdllrVq1wtLSkqFDh3LixAnA9DEx97r79b8XxN5PiQYkwcHB/PTTT7z88ssolUo8PDywtLQsySaLhdrbrqy7UKK06v/+rn8pWfqy7kKJy9QbyroLJS4rPausu1CiMlMz73/SI+6//jMsDQpjcVb24E9dtmwZR44cyc6c2NraolaruXz5stl5wcHBAHTt2rVI9ZfoO9O0adMIDAzE09OTfv36MXr0aHbu3FmSTQohhBD/LUZD8T0e0NGjR7OXXbzzzjuAaUpmwIAB7NixA6MxJ2oKDAzE2dmZfv36FamNEg1Ivv32W3r16sWmTZto06YNzZs35+uvvy7JJoUQQghRTDIyMpg/fz5du3ZlzJgxrFmzBoUiJ83y+eefA7BkyRLAdGfNggULmDdvHs7OzkVqq0SnbEJDQ9m+fTsXLlzAysqKDh06YGlpSceOHalQoUJJNi2EEEL8NzxEZuNhBAQEkJaWRr169di9e3eeH47r7e3N3r17GTNmDMuWLcNgMDB//nyeeeaZIrdXogFJ06ZNmTt3LgA3btxgzZo1zJkzhw8++ABfX1/Wrl2Lh4dHSXZBCCGEeLSVUUBy6NChQp1Xu3ZtduzY8dDtleiUzenTp7M3VKlSpQqTJk1iwoQJXL9+nZkzZzJ9+vSSbF4IIYQQj4gSzZD079+fgIAAhg4dSufOnfHw8ODq1asAtGnTJnslrhBCCCHyUUYZktJWohmSFi1a8PPPP2d/dHHr1q1p1qwZAOvWrePOnTsl2bwQQgjx6DMYiu9RjpVohgTA39+fP/74I1d5ZGRkrv3xhRBCCPF4KpYMyWeffUbDhg358ccfs8uSkpKYO3cut2/fzvM5r7/+Oh9++GFxNC+EEEL8d5WDfUhKQ7EEJFFRUVSqVMksE+Lg4MDTTz/N4sWLWb58eXE0I4QQQjx+JCApPKPRyG+//caWLVvMyqtXr86UKVM4duxYcTQjhBBCPH4kICm8yZMnM3v2bPR60+eHXL58mRo1auDt7U3r1q3lbhohhBBCFKhIi1p37drFvn37aNOmDS1btsTe3h4ANzc33njjDWbNmsXbb7/NBx98QM+ePalevToajYaBAweWSOeFEEKI/7xyfndMcSlSQBIREcHUqVMBUCqV1K1bl9atW9O6dWsCAgIYN24cH3/8MSqVinnz5pVIh4UQQojHSjmfaikuRZqycXd3Z/To0YSFhbFy5Uo6dOjAoUOHGDZsGLVr16ZatWps3rwZrVbLuXPnSqrPQgghhPiPKVKGpFmzZjg7O1OhQgUGDBjAgAEDAEhISGD//v3s27ePffv2sXnzZjZu3IiLiwsdOnRg4MCBRf4YYiGEEELw2GRIihSQODs7Z++0ei8nJyd69+5N7969AdPHFR88eDA7SPniiy8kIBFCCCEehAQkD87KyorOnTvTuXPnkqheCCGEEP8xJb51vBBCCCEenNGoL7a6FMVWU/GTgEQIIYQozx6T235L9NN+hRBCCCEKQzIkQgghRHkmi1qFEEIIUeYkIBFFoazaGHWb/qZfHJUFhphQdLuXQ1oiAKo2/bHo+GKez9Ud3YRu+6L8K7dzwaLTEBTOXmDQA0Z0e1dhuFW6m88dO3qV77/dgl5vIDExla7dGvHa60+iVquyz4mMTODTmb8TF5uMTmfghUHt6P107lvF86LT6dm29TRLl+xm4qRnaN6iRkkNJV+3zsWz/9frGAxG0pOzqNXag7YDqqBUmc9uhl1I4MgfN/GqZk+bAVWL3E78nTSObwolK1OPa0Vb/Dt6YeesKa5hFKiRex2G+vdDpVDiYGnHnrCjLLuwDv0/L3q2amuG1etPu4rNcNI4cDnuOgvPrSYo5vJ9617RfS4+9l55HhuxfTLBCTeLdSz5aeNTn0mtB6NSqnC2smfjlf18fuiX7DFaKNVMbvMS/ep0xNbCilORV3l3148Ex4Xdt+4aLr5M7ziCFhXqkKRNZcOV/czYv4xMva6kh5WtXZWGvN95KGqlCmdre/44v5eZu5eh/2etgYVKzYddhjGg4RPYWlpzMvwSE/78hisxoYWq38XagYtv/4qdxjq7bOWprYxaN7tExpOXDtUb81HPEahVKlxsHFh3ejfT/l6C3mBa4GmhUjOt1ygGNeuGncaa47cuMva3L7kcef/fMW8HN2Y98z+qulVEp9djxMi0zYvZE3yqpIf1YCQgEYWlrFQfiz5vk7niPYxRNwEF6l6jsRz4IZk/TQSjAVWDLhi1aRhT4sFozH6uwsUbw5Uj+VeutsRy0FT0F/ej3/SVqb3KDbAY+CGZKz7AePtKyQ7uH8eOXmXM/xaycMnrNGhYmdiYZIa+9DW3w+OYOdsUaMXHpzBsyDf07RfAKyOfIDY2mQF9v0Cn09PnuZYF1p+UmMbmv06wds1Brl65UxpDyuXWuXh+m3GGgVMbU6GmI6kJWla+d4KkqAx6j/fPPu9c4B0uH4wi+FgMnlXti9zO8U23OLL+Jj3H1qVKI9fiHMJ9NXKvw6y2E3lrzwwuxl3DWePA150+wsvWjZlHfwDg3RavcSE2mA8PfomvfQVeazCIuR3eZ3zgdM7HXs237vputfCx9yImPZ60rPTsciu1BoPRUKrByMpnP+K5te9zMuIy7jZO/DngM/wcPXn97zkAfNxhOBeiQ3jxj2m08a3PlHZD+aP/TJovHkm6Tptv3V52rrwT8ALfHf+dObpMxrXoz+hmz6FSKPkgcGGpjK9dlYb89uJMev00geNhl/CwdWbbyK+o5OzFiN9mATDzyVcJirzO8ys+oF2VhkzrNpLNw+dQ/8uXSM/Kf3x3/S/gWaJT4wlPis4uW3hkY4mN6d86VG/Mxtc+p+s3Yzl68wIe9s7sGf8DlV28eXn5NAA+6zOGoPBg+ix4hw41mjDr6f+x442vqTn1+QLHaGVhydYxX7H21C6GLp8OQOeaTfnrf3Pp/PVojt68UCpjFLlJQFIMVI26Ygg5+08wAmBEf/wv1CO+QuHuCxpbDBf2odv7q3mk6+COZuhnGG6dz7dupW8dlO5+ZP60IbvMEHIWY1w4qrpt0ZVCQGI0Gvl05u+0a1+XBg0rA+DqZs8b43vx9ptL6fVUU9q0rcO3X28mNVXLy8M6mc5xtef5gW2YPet3OnTyx9nZLt82HBxtGDioHQAzP1lX4mP6N6PRyI5FV6jaxJUKNR0BsHXS0P7Famz4/Bx1O3hRtbEpeKjX0RvPqvYEH4spcjt7V1zj5N9hDJ7ZFPdK+X8/SsobjV7m8J3TXIy7BkC8NolFQauZ2no8228eIF2Xwe7Qw+wKPQTA5fgb3EwK58cnPuHlus/xzr78r5ADvBvzxq6pBMWaZ1KG1HkWGwvrfJ5V/GZ2fpUdN45zMsLUj+i0BD7Zv4yfnn6PtRd2cz76BmvO7+JMlOlTyM9GXaOivTuvNe1DLVdfTkfm/+nkdVwr8b+/56D75yp9+KaZnB65lA6VGpX4uO76otcYtl45wvGwSwBEpcbz8fbFrHzhY1ad3k5QxDVWnt7G6dum4PH0nav4OnkyunVfartX4tR9XjNsLa3oVrMlDb8akp1xKW1f9XuTv88fyg4OopLj+WDTfNa8MoOVx7ZyJvwqy4/+zclQ08/4VNgV/Jw9GddpAHW9qnAi9FK+dbet2hB/76oEfDEyu2zXlRNcjrrJ802eKJ8ByWOSIZG7bIqDSm0KPBRKszJjlhZjchwkx6LbszLXL5XKvx36SwcL/mVTmWJGhWdl83KlBcaEiGIaQMHu3I7n6pU7eHk7m5W3bVcHlUrJpg3HSU/PZOMfx2jWrJrZFE6TZtVITdWyacOxQrVlZWVZrH0vrKToDKJvpuDgbmVWXrWJGwqlgvOB5lkbC42Korq4P5JD60Lo8kqNMglGPG3cqObkR1SaeSB1JOIMeoOebpXakZKVmh2M3HU1IYSw5Dt42bgXWP+m67tyBSMAnf0C2HXrUB7PKH4+9u74u1chPDnarHznjePoDHoG+HcmKi0+Oxi561p8OPHpyVy9z5TN7psns4MRgEy9jtCkKI7dzv8NsDj5OnlSz6saYYlRZuXbrhxFp9czqHE3IlPis4ORu67EhBKXlsSVmFv3beOV5k8RlhhFfa9qxdr3wvJz9qJBxercio80K//7wiF0eh0vtehOZHJcdjBy15WoW8SlJnHpPlM2lmoLABpWrG5errLgemx4MYygBBgMxfcoxyQgKQb6MztQuvmi7jYiu0zVpDu6HUsgPRljQmSez1PVbYf+wv4C6zbcOIMxIRKLp8aDnSkgUFaqjzE1Hv2pbcU2hoLEx6cAEBuTZFZuY6PB0cmGq1dvc/xYMFptFpUqe5idU6WK6evjx64Vqi1FGe3ak5aUBUBqfKZZuaWVCmt7NdE3U83Ki9rPLK2eXT9dxcnLmnodvR+qrw/KSWOaXnKxcjIrz9BrScxMoaqjLyFJeb8gZ+gzCU/N+/f4rjupUbnKqjn6oVaouZJw48E6XURuNqbsloeNefCcptMSl55EHbfKeT6vtU89xmyZS2pWRpHac7dxQq1UMXXvTw/U36K6Oz5Pu3+NLyuDuPRE/D2r5Pm8tpUbMGrdbFIzCx6fhUrNmNb96OPfngOvz+fUuGX0rN26eDpfSO52TgB4OZhPZ6ZlZhCbmkS9CnkHSu2rN2bYiumkZqbnefyuHZePERJ7h59empLdRscaTYhIjmPRwdKblhK5PVIBidFo5Ny5c8TFxeU6tmfPHiZMmMCHH35IWNj9F6YVJ8O1k2RtX4yqaQ8snp2IqnE3DOf2oD+5Jd/nKFwrorC2xxh2seDK9ToyV09HYaFBM+wLlP7tUXhWIevXj6GUFtFVquyBSqXkxPFrZGWat5melklmpo7bt00/Ezc38zUV9vamVP3d4+WVSwUbFEoFoRfi0WeZX0VkaQ25yorq2okYUuK0+Po7sX/VddbNPMPSCUcJ/DmYLG3x7cJYkNDkCPQGPQ3ca6NWmGd4rNUaLFR5z+DaqK2p4uDDtpB9RW6zi19rdoeWTnYEIDg+HJ1BT4CPPxZK8/HYWFihUVmYlVmrNXzYbhiVnby5HHv/7MG9qrv48OuzH7M75CTpuqIFMg8qODYMnV5Pm8oNcv28bCyssVSZZxitLTRM7zaSqi4VuBR9/zU8GpUFY/6Yw+vrv+D3c3uo5lqBtS9+wrg2zxfrOApyJfoWOr2OdtUa5hqjrcYKjfpfP0MLDbOefp2qbhW5EBFy3/ozdVn0/nECNpYaDr+9iBeadqWhTw16fDeeTF1WcQ6l+BgNxfcoxx6ZgCQ6OprmzZvToEEDfH19WbgwZwHZxIkT6dy5M6tXr+bPP/+kadOmhISEFKperVZLUlKS2UOrK/obhP7oRvSHN4BCifrJUSjcKxV4vsq/PfqLBWdH7jLGhJK18Sv0109h0WsMyqqNwbL05uTt7KwYMrQjEREJzPvyTwwGA1lZetb9doj09Ew8PZ1ITEgDwMra/AVR9c/dKdqMcvqH/g+NjZoWz/iRHKNlz4prGA1G9DoDZ7aHk5Whx9714e6ACTljCsjsXDS0fLYSfd9rSIs+fhzdcJPfPjmN8Z6FziUlTZfO6it/4Wnjxsj6A1GgQKVQ0atKR6zVVkSn5R00PlW1M1cTQtgddrjIbXbybZVrCqgkpWSm8/3x9fg4eDCl3csoUKBWqnixfjfsLK25nZwzXeVl68LEgEE8U6stjb1qsn3wV9R08S1UO+38GvJu68HUdPVlfMvnWf7MhyU1JDPJ2jS+PrAGXydPpnUdgUJhGt/LTXtip7Hm9j2LUL3sXXmv0xCeq9+Rpj612fva99S+z+tSSmY6264eZdmJzby0aiqd5r9BdEo8058cST3Pot9N9iCSM9KYu2sVfi5ezHz6f9ljfCXgKew0NoQl5IzR28GND3u8Qv8mnWleqQ5H3l5MHa/K923jYkQIQ5dPZ9vFIywYNJkna7fE3sqmBEf1kCQgKV/ee+89GjVqxKlTp9i9ezeHDx9m9+7dfP3118yZM4d33nmHW7ducfLkSRYsWMB7771XqHpnzZqFo6Oj2ePzPfnfSZAfdbeR6C8fJuv32egP/Y5FtxGouwzL93xlIaZrss+tVB9l1cbo/vqWzBUfoPSujuXLn4KNQ5H7+aDGv/UUk9/vS1DQTUYM+455czdx45ophd+8RXU0GtNVy78DD63W9LWDYzn+Y/9Hh5eq8cTImty+ksivH55kz/JrxIaZAi3fes73eXbBkmNNq/6b9vTF0tp01Ve3nRfVm7tz61wC10/GPlznC2lB0CrmnVxKXdfqfNnhfUbVH4iffUUATkfnzta5WTnzbPVuzPrnDpyiqOtSgwxdJjeSSjdjOW3fT0za+QNNvGvxx/Mz+bDd0OxA40BYUPZ5EalxTNv3E80Xj+STfctwtrbnndaDCtXGvltnGPHnbJotGsGR8At0qdKULpWblsh4/m3KtoW8telrmvnWYfPwOUzvNpLa7n4A7L1xOvu8iORYpmxbSP25L/HR9kW42DgwufOQIrV1IvwSL/z6ESqlir71OxbjKAo2eeP3vLF2Di0q1WXHG98w65nXqf1PoLHn6sns8+4kxTB54/fUnPo872/6ERdbBz7sMfy+9Xeq2ZRutVsy6tdP6fL1GJr61Wbfm/Nx+2e6SJSNR+YumwsXLnDgwIHsr1u0aMHChQt55513+OCDD5g2bVr2sWeeeYbvv/++UPVOnjyZt956y6zM+GXhXpTuUjXtibJCTXTbTFkb3Z5fQKlG3bovhuDjGG4GmZ2v8KoKSiXGO/mv5s9m64RF//dMtw8DxttXyPz1YyxfmolFl2FkbZpXpL4+KIVCwQuD2/HC4HbZZYMHfomFhYpn+rTgwnnT/gYJCeZrLe5mTry9H+4NvTQoFAqa9vSlac+cq+SfJx1DpVZQv/PDrftQKk2LTjQ25lMlNVq4cfVINDG3UqnW1O2h2iis9de2sf5azvqj7ztPJVOfxZaQPWbnqRUqPmg5mrknlxCWUvQF1F38Ako1O3Kvxaf/ZPHpP7O/3vLCHLS6LH49vyPXuQajga+OrqFH9VbUdct7DUZ+otLiGb/taw4N+5G67lXYGXLiofteGPOP/MH8I39kf7371W/R6jJZcWprrnMNRgNf7PmF3rXbPFCW49DNcxwLvYizdeldAAF8v3cd3+/NuePuwFsL0GZlsuzI5lznGowGPt32M0/Xb0f9CtVzHb+Xp70Lv4/4lIA5pjV/R29eoMf3bxI47ns+7zOGYSs+Kd6BFIdyntkoLo9MhkSjyZ0y37lzJ08//bRZMHJXVFTuBXb51evg4GD20KiLdgeFqmGXXHe86AJXYEyORVmjRe7z67bDUMjsiKpOGxQaG7P6jRHX0B//K8+6S8uGP44SdPYmo9/ogZe3M02bVUOtVhISYv59v3XLlF5t1bpWWXTzoQTtusOdK0m0faEqDm5W939CAe7eVZMUbb4/gq2T6ffa2sEi13NKw5OV2lHXtQY/nf+N6HTzKZtJzV9l2839HI04U+R6FSjo6NOyVNeP5GdA3S40q1CbTw+uMJuy+beDYUHEpicWuf6rcaFEpyU80HOLw+DG3WjhW5dPdi4lPDE63/P2h5whJu3B+hiWGMWFqNJZmJyXIS160KpKPT7avIiwhPxf2/cGnyI6JaHAuvo17oyDtS3XY29nl50Mvcx3e9fxVP22xdXl4iV32ZQver2e8+dN+3UYDAbGjh3L2rVrqVKlCocPm89tL1u2DAuLUnyBz8xA4VLBvMxowJiaCHms2lfVbYv+Qj4LBNWWoLwnIPpnVfy/6zemxOVZd2kIOnuTmdN/44luDRn2ShcAHJ1sebJ7Yw4fumK2HuL4sWAcHGzo1q1hdllWlp6MjMxc9ULOnnGlsKSiQLevJLJ94WVqBrjT8tnc8+7362eWVo9el/PH79/BC4VSwZUj5i+mCZHpqC2VVG7oUmx9L6zaztUY32QYe8KO8OvlTWbHxjcexrXEW2wOCTQrd9E4Zv+/pdIClSLv4L2xR11iMxIeKLNSnBp71WR2l/+x8cp+vjn2W4Hn+jp48vsl8yyRldoStbLgCxQ7S2sslWq2Xitgg8MS0rRibeb2Hsf6c3uYu29Vgef6OXmx9uwus7LCjM9CpcbFxoFfT29/6P4+iOaV6vDN8xNYd2o3n+9YUeC5lV28WX3CvJ9WFuZjTNWa7sKp4W6+Xuh2Ygyp2rJ5TRUmj0xA8t5779GuXTuef/556tevz7fffsvcuXOZPXs2v/76KwEBAQwePJgWLVowfPhwPvjgg1Lrm+7wepTe1VE16JJdpqzZAoW9K7p/pVAVPrUxZmrv2UTtHhYaNKMXYPnK3Owi/cUDGOIjUHd+2RSsANg4omrcHd2h0t1ATKvNYu3qA7w64gdeGNyOL+a+jOKe+1/fmvg0AOt/N70wh4fH8tuaQ0x671mzNSQD+n1Bj67TSUvLvZtiXFyy2b+lTZep5/TWMFZPPUWTHj70ebu+2RjvSkvMNPv3XpkZeua/dpClE45ml7n62NJmQBWOrL9JbJhpWis5TsvRDTdpM6DKQ2dgisJSacFTVTvzRYfJrA/exseHvjY7Pq7xUGwtbDh4+yR+9hXws69AdadKvFSnD0096wNgpdKwqtc8FnadkWcbnX0D2B1a9EWwxUWjsuDlBt1Z1+8TFp/+k1c2fZp9rI5bJT7pOJLGnjkfTdCremsUKFh65u/sMhu1hhMjlrDrxZzvz0v1n2Rci/44WZkyXpYqNbM7/483t39DbLr5bfElSaO2YHjz3mwa9hnzj/zBS6tzssT+nlWY3eN1mlTMyUo+XbcdCoWCxcdyAk8bCysuTPiFg6/Pzy7rV78Tc3qPzb6tWKO2YEqXYUzZupBkbVopjCyHRm3JqDbPsHX0PL7bu44BP+W8ptfzrsqc58bSzK9OdtmzDTugUCiYf+CP7DIbSyuufbyO45OWZpetPbWL6zHhzH7mdawtTBlKdztnRrV5htk7lpf4uB7IY7Ko9ZFZQ/Lkk0+ybt06Fi9ejL+/P3PmzKF79+4AzJs3j++++46ffvoJOzs7Nm7cSK9evUqtb4bg42SunYm67fOoWjxlyoykJ5O5dCIkmaeITXfX5JMdMegxpiebnn9XVgaZK97HosswLEd+jTEpBjCi27MSw+XSS4e/+MKXZGRkUb26N4uWjqZu3dx3I7i7O7L05zeY+ck6Nv5xFKPRyIcfP0+nLvXNznN1tcdoMJptoJaVqWPYy99w6aJpH4ypH65m29YzzP0q/4XBxW35pGNkZRpw97PlhWlN8KqW95z5lh8ucuWQKTV+Zns4kdeSee69BtmfRaNUKbCyt8DWyfyOozbPV8HWyZINc86hsVZh0Btp3a8KDZ6okKuNkvJd56loVJbcSAzjzcBPuJoQYnZ8QtMRPFW1MwBdK7UxO5aUmUK/TaMB0Bv1JGpTiM/I/SasUqhoV7E5r+54v2QGcR9/v/AF1moNl2Jv0mfNZM5Gme+BY2dpQ9cqzRneqBdBUde5EH2DExGXGfHnpxjJSXnpjHri05OITkvILvNx8GBYw56Ma9GfA6FBhCdHM//khlxtlKRdo74xBRNRN+i5eAKn75gvwreztOHJWi0Z1fIZztwJ5lzkdY6FXmTI6mlm2UudQU9sWhJRqfHZZelZWrrXasnAhk+w+9oJLkSFMG//amLTSi/YAtj/1gJsLDWcv32dLl+P4VSY+e6y9lY29PRvzevt+nIq7ApBt69xNOQ8A3+aknuMqYlEJudMR6ZmptP56zF81mc0pycvJzQ+EiPw0V8L+f1MYCmNsIjKeSBRXBTG0rjf8BGTMeOZsu5CiVK8+1pZd6HErfzXFMR/0c/nE8q6CyXu3K2yWZdRWtLjC97E678gI/G/Pw2i/+ZgidZvvPFZsdWlqPJOsdVV3B6ZKRshhBBClK6tW7fSvn17OnbsSEBAACNGjMh108gPP/xAixYtCAgIoGHDhvz6668P1NYjM2UjhBBCPJYMZTORsXv3bgYOHMiePXto0KABBoOBkSNH0qNHD44ePYpKpWLGjBksW7aMffv24enpycGDB+nSpQupqamMGDHi/o3cQzIkQgghRHlWRrf9Llq0iC5dutCgQQMAlEolb7zxBidPnuT8+fOEhYXxySefMH78eDw9PQFo3bo1r7zyCuPHjyc2tmgbPkpAIoQQQohcMjMzOX/+PDqdzqzMysqKChUqsHPnTjIyMvDz8zN73lNPPUVqaiq///57kdqTgEQIIYQoz4oxQ5Ln57dpc2/BADB8+HAuXbrE+PHjs+9e+vHHH/nyyy9xc3MjOtp0t2FEhPl+Q3cDlKAg813K70cCEiGEEKI8MxiL7ZHX57fNmjUrz2Z79OjB3Llz+f777xk4cCALFixg8ODBvPaa6U7NunXrArB9u/lmdKmppr2W8gt08iMBiRBCCPGYmDx5MomJiWaPyZMn53v+m2++yYQJE9Dr9YwZM8Ys69G9e3datWrF2rVrs6dn4uPjWbjQ9LluPj4+Reqb3GUjhBBClGfF+Bk0Go0mz8+Gy8/YsWMZOHAgrVu3ZsqUKbz55puEhoYyZ84clEol27Zt4+OPP2b69OksXbqUVq1acfOmaSfyjh07FqlvEpAIIYQQ5VkZfSjed999x5EjR/j6a9PHJ0yfPp2srCxmz55N79696dSpE/b29syZMyf7ObGxscyYMQN/f3/ati3ahxXKlI0QQgghclmyZAlVq1Y1K5sxYwYVKlRg48aNeT7n7bffJjMzk/nz5+f5OWAFkQyJEEIIUZ6V0cZodnZ2XL1q/llJKpUKDw8PbG1tc53//fffs3TpUubNm0ebNm1yHb8fyZAIIYQQ5VkZbYw2ceJETpw4wU8//ZRdtmHDBsLCwhg1alR2WUxMDG+99Rbvvvsua9asYezYsQ80TMmQCCGEEOVZGWVIevfuzfr16/nkk0/46quv8PDwwNXVlSNHjuDn50dQUBDDhw8nKyuLbt26cenSJSpUePBPL5eARAghhBB56tOnD3369MnzWP369Tl27FixtSUBiRBCCFGeldFdNqVNAhIhhBCiPHtMAhJZ1CqEEEKIMicZEiGEEKIcu/vBdsWhaDuDlC4JSIQQQojyTKZshBBCCCFKh2RIhBBCiPLsMcmQSEAihBBClGdltDFaaZMpGyGEEEKUOcmQCCGEEOWZTNk8vhRWqrLuQonKNGSUdRdKXJruv5/iTNTqy7oLJU6f+d8eo0H333+jeRzGWOIkIBFCCCFEmZM1JEIIIYQQpUMyJEIIIUR5JlM2QgghhChzj0lAIlM2QgghhChzkiERQgghyrPHZFGrBCRCCCFEeSZTNkIIIYQQpUMyJEIIIUR59phkSCQgEUIIIcqzx2QNiUzZCCGEEKLMSYZECCGEKM9kykYIIYQQZc2ofzymbCQgEUIIIcozWUMihBBCCFE6JEMihBBClGcyZSOEEEKIsmaUKRshhBBCiNIhGRIhhBCiPJMpGyGEEEKUOf3jsQ+JTNkIIYQQosxJhkQIIYQoxx6XRa0SkBQTRaVGqFv1BaMRVBYYY0PR7VsJ6YkAqFr2Q912UJ7P1Z38E/3uJflXbm2Put1LKNwqgdoCY1I0ut1LIDGyJIaSr+NHr7Hg+x3odAaSEtPo0q0+I//XBbValX1OVGQin8/aSFxsCnq9gedfaE3Ppxrft+5bN2OYN2czp0+EoDcYaNW6BuPf7oWXt1MJjii3sPPxHFl9A6PBSEZKFtVbedCif2WUKvNk4u2LCZzceAuPqva06F+lUHX//MYhEiPS8zw28LPmuFexf+j+F0ZTz7r8r0F/VAoVDho7dt46zPyzv6E3mtLCdhbW/K/h83TybYGzxoELcdf49tQqTkVfum/d7tbOjG08CB87T/RGPUaM/Hj2N05EXijpYZlp49eAye1eRK1U4WRlz8bL+5m9b0X2GC2Uat5vP4R+/p2ws7Tm5J0rTNr2PVfjworUjlqpYuuQL7kUfZPRf80piaHkqV3VRkx5YihqpQpnGwfWB+1hxs5l6A16ACxUaj7qOpyBjbtia2nNibBLvLXxa65E3ypSO1VcKjC2bX+sLCy5Gh3KypPbiEyJK4kh5dKhRhOm9h6BWqXGxcaB307tYupfi83GOP2pVxnc4knsNNYcu3mRN1bP4XLkzfvW7WrryOxnR1O/YjWs1BpuxkUwfu2XXI8JL+lhPZgyXEOydetWZsyYgVKpRKvV4u/vz8yZM/Hw8ADAYDDw7bff8ssvv2BlZUVaWhp9+vRh4sSJWFhYFKktCUiKgcK3Hha93yJr9RSMMTcBBepu/8Oi7wdkrZwERgMq/04YtWkYUxOAnPlAhZM3huCj+VeuUmPRfxqGW0HofplkKuo4HMsXZpG5fAKkxpfo2O46fvQab45exg+LR1CvgR+xMcmMfHk+t8Pjmf7pAAAS4lMZ+fJ8nu3XgqEjOhIXm8Lg/l+j0+l5+tlm+dYdH5fCR++tod+AVrwyqjNHDwez4PsdBJ25xS/rxuHoaFMqYww7H8+fs87S56NGeNVwJC0hk3UfniApKp1uY/2zz7u05w7Bh6O5cTwG9yp2hao7/GICiRHp2DpbYmGd82en0+pRKMCtcuHqeVhNPevydcdJvLpjOudig3GxcmRJt4/xtnVnysHvAJga8DpBMVd5e88cKjlU4M0mg5n/xBRGbp/KmZgr+datUVnwQ5f32XbzcHZdLbzq8W2nyYzcPpVzscGlMsY2fg1Y1X8qfX59lxO3L+Nu48Tml77Az9GT1zZ9DsC0ziM4H3WDQb9Npa1fAz7qNIwNg2bT9MfhpOu0hW7rww7DaOJdk0vR938TLC7tqjbi95dn0XPRWxwLvYiHnTM7Xv2aSs5evLJmJgCzer5G0J3r9Fv2Hu2rNmJ691FsGTkX/88Hk55VuPGNbtOXCR1eYOTaT9l59XhJDimXDjWa8OfrX9Bl3hscDTmPh70L+yb8SGVXb4YsnQrA58+9wdnwYJ7+YSIdazbh0z6vs2v8t1T/sF+BY7RUW7D7ze/Yefk4LWe/AsCX/cdzcOJCGs8cwp3EmFIZ46Ng9+7dDBw4kD179tCgQQMMBgMjR46kR48eHD16FJVKxfTp09mwYQM7duzAxcWFhIQEOnbsSGRkJPPmzStSe7KGpBio6j+B4VbQP8EIgBH9qc0oPauhcPVFUbEO+sv7yfxuCFk/jSHrp7Gmx2/TIS0RY1j+V4+qxr1QuPmiP/BLdpl+33JQKlF3HFqyA/uH0Wjki1mbaNO+FvUa+AHg6mbP6+Oe5O8/T3HogOlN6odvtpGWpuXFoe0AcHG1o++Alsz5dBMJ8an51v/XplN8MnsgvZ5uQt16Pgwd0ZE33uxOZEQi69cWEKwVI6PRyN4lV6jUxBWvGo4A2DhZEvBCNS7vi+Tm6djsc2t38CZgUNUi1R9yIoa+05owfEFbXprXKvvh36UC1QM8USgUxTqe/LzTbCj7b5/KDg7iMhL59vQqeldtT4B3Qxq612LbzUMsvbCRC3HX+TtkP2MDP0OpUDKyQd8C627kXptqTr4sv7gpu+xoxDluJt3mycoBJTque83u+j+2XzvGiduXAYhOS2B64FIG1OtC5ypN8bB1ZtW5Haw4u5WzkcF8f+x3Fp/8E297V2q5+RW6nS5Vm6JSlv5L6Jyn3mDr5cMcC70IQFRKPB9tXcSgJt14okZzPO1cWHlyG8uOb+b07at8vX8tCw5vwNvBjToelQvVxsfdXuGDJ4bRe/HEUg9GAL5+/i02nz/I0ZDzAEQlx/Hehh94qWUPutVpiaeDCz8f2cySg5s4FXqZL3f+yvd711HByZ263gVnLN/o2B9/76p8sHF+dtm7679HpVQyp+/YEh3XAzMYi+9RBIsWLaJLly40aNAAAKVSyRtvvMHJkyc5f970s1mwYAHDhw/HxcUFACcnJ4YOHcry5cuLPMxHKiDZs2dPnuWXL1/mhRdeoF69enTq1ImvvvqKrKys0uuYUo3C1RcU93w7VWqMWVqMqXEYU+LQH/gVjOYrpVW122K4ejhXuVnVVZpARgpkZeQU6rMw3DyDskYrUGuKezS5RNxJIPhqBF5eTmblbdrWQqVS8tfGk2SkZ/LnhhM0aVbVbAqnSdMqpKZq+XPjyXzrb9W6BhV9XMzKuvVoCMDt8NLJACXHZBB7KxV7N/PvZ6XGriiUCi7tiTArV1uqKIp6XStSoY5TrvIrByKp2cajyP19EN62btR0rkREqvkV4P7w0+gMenpXbU9yZipbbx40O34p7gY3k+9Qwda9wPotVKbMT03nyublSjVhyVEPP4BC8HXwwN+jCmFJ5u3tuH4MnUHPwPr/b+++42u+/geOv+7IXiRExN571wxC7YpVvihFi/ppqVVqttSsUTpQSo0Oq2pX7V079gixI4gQkpB57z2/P1JXrwwJSW7wfj4en0eb8zn3fM5x1/tz1m3A3ccPOHnHsrfm0v2bPIiOJPB+UKqu4+mUnd5V2/DVroXpVvfUyJ8tF+VyFyHooWX7Nl84hMFopHPlxoQ8CuN4sGVP1sXQG4RFRXAhFUM27crXZ+jbXRiyYSbnQq6ma/1TI7+7F+XzFuVGmOWQ9N9nD2AwGuha4x1CIsI4duOCxfkLITcIexxOwHOGbJqX9SEsKoLHsU+HT2MNcWw9f5i2lerjaGuffo1JJ8qo0u1Ii7i4OM6ePYvBYLBIs7e3x9vb2/z3yZMnEz2ucOG03bTBKxaQ7Ny5M1Ha2bNnqVy5MsuXL+fixYsEBAQwePBgatSoQXh4eKbUy3RmO1qPvOjrdzen6So0wbBrIURHJjvXQ1vSB+OFfSkX7ugGdk6gtRxdUxH30Ohs0Ljneen6P8+DsITejfv3Ii3SHRxtcXNz5NLFO/gfvUpsrIH8BXJY5ClYKOHL9tjRK8mWX7SYV6I0ewdbAPLmc090LiNERyQEsFEP4yzSbex12LvouX/jkUV6Wjs03HI5JEoLvRaJyajwLOKatsJeUHa7hOt4OGSzSI8xxhIeG0nRbPm4Ep70HIoYQyw3H6U8Z+nQ7dPcenSXsbU+Ice/13grVxnuxTxk1aXtL13/1PBwTOjdyuVk+bqJio8lLDqC0jmTvnv2yV+OTzZM4/F/A/8UTGvSl+Fb5xBnzMQbHyCHUzYAcrk8274Y7keFU8Yr6S+BOoUr8tEfk3gcl/Qcpifs9bZMbv4Jl+8F8/uxzelS57TK6ZwNAC9XD4v0qLgY7j+OoJx3kSQf51usEt0Wj7MINJIs3yUb2R1dzAH0EzfCQrDV21AiV4EXr3xGMZnS7YiNjSUiIsLiiI1Neoire/fuBAQEMGDAAJRKCGbmzJnDjBkzyJEj4bO+R48e/Pzzz6xYsQKA6OhoVq9ezezZs9PczFcqILlw4UKino/Ro0eTP39+1qxZQ3R0NLdv3+bhw4dUr16dESNGZEq9TNeOY9i5AG3Fpuj9PkNbrhHG83swndqS7GM07nnQ2LugglOeKKjuB6HR6tDmL2f5eJt/7+R1GT8NKH/BHOh0Wo75XyU+3mBxLjo6jrh4A7f/7cnwyGE5F8LZJeFu43YaezpOnbiOra3e3FOS0bLndkSj1RB87iHGeMseK0OMCWN8+k8qu7gvhGK1Mqd3BOB65G0MJiOVPUuh11r28Djo7bHVJT0BzcnGgaLZ8rHhyp4Uy483Gfh059c46Gz5tekEmhb0oUT2AvTZPpF4kyHFx6aXy2HBGExGauUri80zQbyjTeI2OujtGFOvOwWzexNwL3UTPvtVb8emwINcSuME2PQQeC8Ig9FI7ULlE32hOtk6YKd/pn02doxv2ovC7t6cT8Vkz2Yla+LtlpO9V08wquEHrOg6nv2f/sS4pr2w19uma1uSc/HuDQxGA3WLVUyijfbY2SRu49et+1AkRx7O3X5+j86521fRaXU0KFnVsmy7hM+qZ/8NXzeTJk3Czc3N4pg0aVKSeZs1a8b06dOZPXs2HTt25KeffqJz58707t3bnGf8+PG0bduW9957j8mTJ/PNN9/w+++/U61atTTX7ZUKSHx8fPjiiy8s0i5fvszWrVtp2bIlOl3Ch6yzszMzZ87E39//uWUmGS0ajGmum/HYBoxH14FGi75BT7Q5Uo6ytSVrY7y4P8U8AMZDf6KM8eh8u4FTdgA0noXR5E8Y01OP7qf08HTh7GxP5251CLkTzsxvN2EymTDEG1mz8jDR0XHkyuVGeHgUAPb2lh9aun9Xp8TGpu0Lafnv+3mvi0+mrbKxddRTqUU+Ht2PZf+SyyiTwmgwcXb7LeJjjTh7pP/Q2KX9dynukyvdy03O4/hofj2/gdxOOehXsRMaNOg1OtoUfRtHG3tCHif9Wnq3aAMCwq6y5fqB517jSngwX+yfzYHbp/iyxv9R07sCjjaZ1wUeGRfFrEN/ktfNky/rfZjQRq2OLhWa4mzrwK3IUHNeL2d3htbuTOtSdamcuzg7PvieEh4pzyGpnLs4JXMWYMnprRndlCRFxkbx3d7l5MuWi3FNP0KjSWjfB1Wb42znQHD40/bldvFgZINutC1fnyr5SrKv7xxKeqb8ufR2sSoA3I64z/Tdy2j/yyhm7F7GwLodWPPh5Axt2xORMVF8s20p+d29mNT6E3Mbe/i0xNnekZsPng5X5XbLwejmPWlfpQFVC5bmyLAFlPIqmGL5E/5eRJwhnmnvfkput4S7/Er5StCgREKAcvNh5gwvpolRpdsxfPhwwsPDLY7hw4cne+mBAwfy2WefYTQa6du3L6dPn7Y4r9fr+fXXX+nWrRvLli3jhx9+4Pr1F5vk/UoFJD179mT16tVMnDjRnFahQgXy5s2bKK9Wq03VRMGkosUp25NfSZAcXf0emC4dwrB+KsbDa9DX747O94Nk82tL1MYU8M9zy1Wh14hfMhz18DY2736BvklfNDkLoHHzRD28A5EZH5AAfDqwKUNGtOTMqSB6d5/HD9/+zdWrCW/cKlULY2eXcCcTG2vZgxX3byDi6pZ4yCI5e3edT1jF83HDdKp96tTqXIS63YsTEhjB6q+Os//3y4TdTBiuylMmW7pe6/aFcPR2OjzyZ87qmie+P76Erw8voGyOovzU6Av6VepEIdeEYT//u4knV+d0yE7HEk34Yn/qul+r5ipDTe/yjD04l15bx1LavTALm4wju13mLGkGGLNrAZ9vmcVb3iVZ12kyo+t1p7hHPgD23Xj6YXrnURhjdi2g8pzujNu1kOwOLnxeu3Oy5brYOjLStxtDt/yY4W1IyahNPzFw7XdUzVeaTR/NYHyzXpT0TAik9lw5Yc53O/I+ozb9RJmpnfly0zzcHV0Z2aBbimXncUuYJ/Tj/lXm4Z0/Tu3gr/P78S1SicbF037X+yKGrZlF32XTqF6wDDsGzOLrNn3Mgcaui0/no90Ov8ewNbMo+mU7Rqz9EXcnN0Y375li2aeCL1Fzak8C7wbxd98ZLOz6BeXzFKVQjtxcDr1pEfBkFcqk0u2ws7PD1dXV4rCzS/6Gq1+/frRp04aVK1cydOhQc4DyREREBJ06dWL69Ons27ePSpUq0aRJE1atWpXmdr5Sy37t7e35448/qFOnDtu3b+err76iYcOGXLx4keLFi1vknTp1Kq6uzx+bHz58OIMGDbJM/LFLmuqlrdgUbe5iGHf+DIBx/1LQ6dBXexfTlaOooDMW+TWehdFodaiQ1C2DVHevYFj79O5EW6EJGr0thhSGhNKbRqOhQ6dadOhUy5z2QadZ2Njo8GtVhYBzCev3wx9GWTzuSc9Jans67tx+yMzvNvHd7A+xt8/crlONRkOFZnmp0OxpgLtixFG0eg2l6uVO12td/CeEYpk0mfVZyy9uZvnFp/MDFjcZT5wxnnWXLSeN67U6Jtb+lImHf+ZG5O3nluth78Z038F03TQKgDP3L9Fnx0R+bjyGgZW78OWBtI8pv6h5/uuZ5/90tc+WrjOINcSxNIn3jEmZmH5gOc2K16SMZ/IrNN4pXpN6BStxZeAfic51LNeA9mXfpu9f01l+JuPny8w5sJo5B1ab/979yWxiDXH85r8pUV6TMjF11++0KO1D2dxJz794wvDvHh8RsZbv4/Xn/qFlmTqU9SrMlouZs/Jt1u6VzNq90vz3gc/nExsfx6KDfyXKa1ImJm1aTKvydSmfp+hzyz524wJt5g41/9277rvY29gxd++adKn762LWrFkcOnSI77//HoBx48YRHx/P5MmT8fPzo379+vTo0YNixYqRLVs2ANauXUvjxo3p0aMH9erVM6++SY1XKiABKF++PDt37qR58+b4+vri5eVFwYIFadOmDa6urty4cYM1a9YQHBzMvn3PmTAK2NnZJYoOY/VpW0GhK9sA9eCWRZpx3xJ0pXzRFqmK8ZmAJGEy6/N7R5Jk74y+VkdMIVcwHkv8xswsG9b6c+ZUEH0HNsUrdzYcHG3R6bVcvxZqkS/oRsKKjuo1iz23zIjwKEYMXsLYSR0yfUO0pJzfdZuQwAhqdS6CS470G3ZQJsWlA3d596vK6Vbmi2pRuC7lcxbju2O/ExJl2ds2pubH/HVlL//cOpGqshoVqImzraPF5NfzYVdZdmEzbYs2SM9qp0nHcg2pmqcUY3b+THBk8ntM7L9xmre8SyZ7/u/Ag9Se/3Hix300l78DDzJh9+IUy88onSs3oVr+0oz6ey43w0OTzbf36kmq5S+dYlln71ylRena5MvmyaV7T+fIhEQmbIYW+vhhutQ5rbrWeIcahcoydPWsFHswdgcep0ahMsmeT4q7kytj/T7i2I0LfL9zxctWNWNYaWO0BQsWJLrZnzBhAr/++ivr1q2jSpUq/Pnnn/z449NeQzs7O+bMmUPp0qXZu3cvrVq1SvX1XrmABKBy5cpcuHCBMWPGsHjxYg4cOMCBA0/Ht318fFi+fDllyqTthfnC4mLQZHvmDlqZUNHhlst1/6UrUZv41RMTpQOgtwWTMeFI9EAbbFomRPXx66dCJs/wf+LM6SAmj1/L243K0q27LwBubo40blKegwcCUUqZh8v8j1zB1dWBBo3Kmh9viDdiMJosekAePYphcP9f6TOgKSVKepvTTSYT4Q+jyO6euUMbdwIj2D3/IkWq56Ryq8TzCv6dcG7+77MMsUY0Og06feJR0ZtnH+CU3Zbs3pmz4VtyyngUYVjVHmy7fpBF59ZZnBtetQeBD26w5rLlyjYPezfuxySsXrPT2WA0mTCohNdq1L+v9fwuubkc/nT5bGjUgzRtNpaeKucuztTGfVgbsJfvDibu2fivfG65+PPcLos0e70tBpMRg8lIROxjImKT3k8nPOYx5+9l3uZoT7yVtyTfthrA6tO7+Wb30hTzFsjuxYoTlr03/20fwNLjWxns24lWZepYlFfIPTdRcTHsCHz+vLz0VrVAaWZ1GMzKYzuYsiXlvS0Kenix9Kjl/B57GzsMRoO5jf9lp7dlVa+vUSj+N28EsYa4RHmyBCsFJM7OzgQGBlqk6XQ6PD09cXJyws7ODr1enyjPkyXBTk5OabreKzWH5L9cXV2ZPn06ISEh7N+/nxUrVrBq1SoCAwPZu3dv5gUjgPHoGrReRdGWeducpi1SFY2zB8ZTlm8OjXdJVHzMfzZR+w+9HbY9f8Tm/WmJTmlyFcWm4wSwsSPut8GZvm08JMwP+XPFIfp8NJ/2nWry9TedLObp9B/8DgBrVyVspHQrOIzVfxzms2EtcP3Pbqud239PqyaTiY5KePNHRkTTr/dC6jUog4eHM9eu3OXq5bucOnGdL4evICoq8z4kDHFGzmwNZu2445Rrmodmg8omORcpOiKhTtHhiYPC+Bgji/scYPnnR5K8xsV/QihWK/Mmsz7LVmtD22IN+bHBKJZf2MTne7+1OD+sanecbR3ZffMoBV29KejqTYnsBelZ9l1q5E6YTG2vs2ND65kseedr8+O23jjAzcgQBlTujL0uYXJzdjtX2hVryMKzazOtfZAQLH1Q8R1Wd5zEfP91fPifG4DSOQsyoUEvKuV+eufnV9wHDRoWHt9oTnO0sePEx4vY/eHMTK17atjpbelRrQUbek5jzoHVdF4yxnyuTK5CTPHrQ5W8JcxprcrUQYOG+YefDmM52thzfugyDvSbZ067GHqDCdsXMcj3PYrnTAjEc7t4MKBOByZuX0xwRPI9MOnNTm9Lr9qt2dr/e2buXkn7+SPN58p6F2F6u/68VaCUOa1NxXpo0DB379OhLEdbe66OW8WxEYsTlf9WgVLsGzwXJzsHqkz6IOtuG29FQ4YMwd/fn4ULn+63s3btWm7evEmvXr2ws7Ojf//+zJs3z7wXiclkYsKECVSvXp369eun6XqvZA/Jf+n1emrUqGHVOpiu+BO/9mt01duhq+wH0eGo6EjilgyDZ7pwdSVrY0puuEYZUdGREPXwaf5q76ItUQviojEe34gpYG/SvScZ7MPOs4mJjqNIMS/mLuhFydKJ9z/JkdOVeYv+jykT1/HXOn9MJsXw0W2o97ZlcOjh4YIyKXR6LTHRcfxf95+4GHCbUyeuM/2ZMmvVLp5o07SM8seIo8THmfDI50SbMZXxLJz0RMwdcwO4fCjhg/nstmDuXonAb2h5nLInDP1pdRrsXWxwyJZ4maTRYOLKoVA6TK6a6FxmWNxkHPZ6Oy49DKLXtrEEhFkukxxV/SPaFkuYTPxOodoW58JjH9H4z4TlfkZlJDw2krCYp3v9RBti+WjrVwyo/D7L/aYS8vg+CsXsk8vZHpQ58w4ANnedgaPejvP3rtFiyVBOPTNXy9nWgcZFq9GzSgtOhVzm7N2r+N+6QPc1E1E8vRM1mEyERUdy10rDFMnZ9fEsHGztOHfnKk1/GsiJW5Z3py52jjQtUYP/q9Gak7cCOX3nCkeCzvP+0q/Me0lAwnyRsKhw7kZaLsn/esev3H30gF87fUlkTBR6rY6vd/7KL0f/zpT2AewfMg9HW3vO3LpC/Rl9OB5kuQmai70jzcv60Me3HceDLnIq+BKHrp2lw8+jErXx/uNwQv7TxmFNutK+SgMiY6L4YdcfLDm8Ocnek6zEWj+u5+fnx+rVqxk/fjzffvstnp6eeHh4cOjQIfLnTwhYJ0+ejLu7Ox06dCBbtmw4ODhQtWpVtm7dal75mloapZLrdH71bdmyhcaNG6f5cbHfvJsBtck64vqlbdLuq2jx+cyb8GstP5/KnB85s6ZrQZmzuaG1xISnbiO2V9mb0Eb148EMLT9mbIt0K8v+y/XPz2Qlr+yQTWokWj0jhBBCiCzplRqy8fPzIyoq6rn5lFKEhoZy/vz5TKiVEEIIkXGsNWST2V6pgKRgwYLMnj2bHDly4OjomOzGZ0opHj58mLmVE0IIITKClVbZZLZXKiD57LPPsLe3Z9q0xKtQnhUXF0epUqWem08IIYTI0t6QHpJXag5JoUKF8PPzS1VeW1tbhg4d+vyMQgghhLC6V6qHBKBevXqpzturV6+Mq4gQQgiRCZQM2QghhBDC6mTIRgghhBAic0gPiRBCCJGVGU3WrkGmkIBECCGEyMLelH1IZMhGCCGEEFYnPSRCCCFEViarbIQQQghhbTJkI4QQQgiRSaSHRAghhMjCZGM0IYQQQljdmzJkIwGJEEIIkYWZ3pAeEplDIoQQQgirkx4SIYQQIguTIRshhBBCWJ0yvRlbx8uQjRBCCCGsTnpIhBBCiCxMlv0KIYQQwurelDkkMmQjhBBCCKuTHpI3kMEUZ+0qZLj4N+COwvgGtPF196bc+YqXI0M2QgghhLC6NyVwlSEbIYQQQlid9JAIIYQQWZjpDekhkYBECCGEyMJkDokQQgghrE7mkAghhBBCZBLpIRFCCCGysDelh0QCEiGEECILe1PmkMiQjRBCCCGStHnzZurWrUu9evWoWbMmPXv25O7du+bz48ePR6PRJHn0798/TdeSHhIhhBAiC1Mmk1Wuu3PnTjp27Mju3bspX748JpOJjz76iGbNmnH48GF0Oh2LFi3CxcUFLy8vtNqnfRyXLl2iVatWabqeBCRCCCFEFmatIZv58+fToEEDypcvD4BWq+XTTz+lUqVKnD17lvDwcDp27MiYMWPQ65+GE9evX6dmzZr4+vqm6XoSkAghhBAikbi4OM6ePYvBYDAHHHFxcdjb2+Pt7Y2zszPjx49P9Lhly5bRtm1bdDpdmq4nc0iEEEKILEyZVLodsbGxREREWByxsbFJXrd79+4EBAQwYMAAlEropZkzZw4zZswgR44cFC5cOMnHLVu2jA4dOqS5nRKQCCGEEFmYyaTS7Zg0aRJubm4Wx6RJk5K8brNmzZg+fTqzZ8+mY8eO/PTTT3Tu3JnevXsnW9eAgADu37+Pj49PmtspAYkQQgjxhhg+fDjh4eEWx/Dhw5PNP3DgQD777DOMRiN9+/bl9OnTKZa/dOlS2rdvj0ajSXPdZA6JEEIIkYWl56RWOzs77OzsUp2/X79+dOzYkVq1avHFF18wcOBAgoKC+Oabb5LMv2zZMn777bcXqpsEJEIIIUQWZq2dWmfNmsWhQ4f4/vvvARg3bhzx8fFMnjwZPz8/6tevb5H/2LFjGAwGqlat+kLXkyEbIYQQIgtTRpVuR1osWLAg0cTVCRMm4O3tzbp16xLlf9HJrE9ID4kQQgghEnF2diYwMNAiTafT4enpiZOTk0W6Uorly5ezfv36F76e9JAIIYQQWVh6LvtNiyFDhuDv78/ChQvNaWvXruXmzZv06tXLIu/+/ftxcnIyb6L2IqSHRAghhMjCrDWHxM/Pj9WrVzN+/Hi+/fZbPD098fDw4NChQ+TPn98i79KlS19quAYkIBFCCCFEMlq3bk3r1q2fm2/mzJkvfS0JSIQQQogszFq/ZZPZJCBJJ5oCFdHXaAtKgc4GdT8Iw97fITocAF31duhrd0rysYZjGzDuXJB84Q4u6Ot0QZOjAOhtUBGhGHYugPCQjGhKsvyPXGX+7B0YjCYiwqN5u1EZevSuh17/9PcK7oZEMP3rjYSFPcJoMNHuveo086vw3LLvhkTw3bRNHDlwGRtbHTVrF2PAkGY4u9hnZJMSCT77gKN/XMVkVMQ+MlC4Rk7ealcQrc5yutXtgIecXB9EjkLOvNWuUKrKfhwWy6EllwkPiUar04BGw1vtCpKnTPaMaEqy3spVmk8qtEen1eJm68zWG4eYc/IPjCrhF0WdbRzoU7EDb+evRnY7V87dv8z3x5dy7G7Ac8vOZufCgMqdKZY9P3Y6G24/usfkI4u4+ShzX6s++cszvM776LU6stm7sO7CPibv/c3cRhutnpF1u9KuTH2cbR04dvsiQ7fMJjDsZpquo9fq2Nx1BgGh1+nzV9L7MmSEuoUr8kXjD9FrdWR3cGX16V2M37YYo8kIgI1Oz+jGPehYqSHOdg74B11g4NrvuBh6I03XKezuzad1/oeDjR0XQ4P43X8zIY/CMqBFifkWq8xXfj3R6/S4O7qy8vgOvvrrZ4s2jmvxf3Su1gRnOweOXD/Pp8u/4ULI9eeW7eHkxuQ2fSiXpwj2ejuuh91hwB8zuHIvOKOb9UJMVhqyyWyv3aTWkJAQfv/9d+Li4jLtmpp8ZbHxG4Rh+3ziV3xJ/NIRANi0HQWahH9iXZn6qNgoTGG3MIXdNB/KZMR06XDyhev02PxvLCouhvglQ4n/ZRDqYQi2700Cp8z7IvM/cpXBfX+nz8DGzPvlI2Yv6M62zWcY/+Uac56HDx7z8Yc/U7qsNz8t7snU7zsx+9stbFhzLMWyo6Pi+G7aJpr5VWDGj13wqVuCDWuOM3bUqgxulaXgsw/4e/JpanQuQptxVWg5uhKXD9xl54+WX8QX99zh5Pogrh29h0rl54QhzsiGCSdwzeVAm3FVaDWmMlXeLcDGSacICQzPgNYk7a1cpZn59jBmHPuNbpu+pPuWr2hSsCZja31izjPOpw93ox4wcNc0xhyYQ16XXMxr9CUVchZPsWwbrZ6fG48mKj6azhtH0G79EIIi7/Brs3HkdMi816pP/vIs+99XjN75M01//YwWv39Om1J1meX3mTnP2Ld7ciksmE4rv2LKviX45C/H2k6TcdCnfsMogC99P6Ry7pT/XdJb3cIVWfXhJEb8NYf6s/vSeG5/2lV4m3n/G2bOM6n5x1y6F0S7xSOYuO0X6hSuwKb/m4GDTerb18enLds++YG/zv1D75VTmL57aaYGIxs+mcbnq2dRe1ov6s34hA5VGrKw6yhznqnvfsrFuzdo+eMQxm5cgG+xSuwYMPO5bbTV27Bz4CwiY6OoPrkHFSa8z+V7N9k/ZB653XJkdNNECl6pgOTgwYO88847lC5dmhYtWrBy5cpEeXLlysW1a9fw9vbOtHrpyjXEdOM06t6TyFxhPL4Rba4iaDzyoclTCuOFfcTN6kr8wr7EL+yXcKwcB1HhqJvnki+7UnM0OfJh/GeJOc2491fQatHX+yBjG/YvpRTTv95IrTrFKFs+HwAeHs58/GlDNm04ycF/EpaFzZ25g6jHcXTqlvAbBu4ezrRpX5Xpk//m4YPHyZZ/IeA2w75oQW3fEpQpl5fho1tSvKQXRw5eyfjG/UspxT+LAslfyZ1cxdwAcMxmS7WOhQncG0LQifvmvMXrelGtY9I/KpWc2wHhPLgZRYUW+cxpecu5k83bkcsH7qZPI1JhWLUP2Rt8nNP3LgEQFhPOD8eW0qJIXWp5V6BizhJsvrafhWfXcu7+FTZe3cenOyaj1WjpXb5dimV3KtmMItny8sOJZea0b48tQavRMvitrhnarv+a3Ohjtl4+gv+tCwCERj1k3K5FdCjbgLcLVcHTKTvLzmzjt1ObORVyidlHVvHzsQ3kdvGgRI78zyn9qQaFq6DTZv5H6Det+rEp4BBHgs4DcPfRA77cNI9OVRrTsHhVcjm787v/ZhYd2ciJ4EC+37uCuQfW4O2ag1K5CqbqGl816ckXjT/Eb95gtgUezcDWJO379oPYeHY/h6+dBeBuZBgj1v5Il+rNaFyqOrlc3fnl0EYW7F/P8aALzNi+lNl7/sQ7W05K5065x/LTev+jTO7CjFo315w2bPVsdFot37Ttl6HtelEmU/odWdkrE5Ds27ePevXqsWXLFgBu377N+++/j4+PD5cvX7bI+8477/DgwYPMq5xWj8Yjn7k3BACdHhUfi3ochnoUhvGfpaAsXw26krUxBR5MlG5RdKHKEPMI4mOeJhrjMV0/ibZYDUjjHd2LuHM7nMuBIeTycrNIr1m7GDqdlo3rTxITHcfGdcep9FZBiyGcSpULEvU4lo3rTyRbfsXKBXBxdTD/rdFoyFcgB+Uq5kv2Ment0b1Ywm48xiWH5RBR/ooeaLQaLuyxHHLQ26XtrWMyJDzH9649SpTu6umQ1EPSXW6nHBTPXoA7j+9ZpO+7dQKDyUiLwnWJjHvMpmv7Lc6fD7vK9YhbeDvnTLH8OnkrER77iGjD018OjTPFc/D2aRrmr57m3ocXkc/VkzKehbgZYRnkbbtyBIPJSMdyDbj7+AEn71yyOH/p/k0eREcSeD8oVdfxdMpO76pt+GrXwudnTkf5s+WiXO4iBD20fD1uDjiEwWjg/SpNCHkUxvHgixbnL4YGERYVwYW7zx+yaVehPkMbdGHIupmcC7marvVPjfzuXpTPW5QbYZZt/PvsAQxGA11rvENIRBjHblywOH8h5AZhj8MJeM6QTfOyPoRFRfA4NtqcFmuIY+v5w7StVB9H28wdJk4NCUiymBEjRuDh4cGRI0c4d+4cR48eJTQ0lDZt2tCoUSNzoALg6OiYqXUzndmO1iMv+vrdzWm6Ck0w7FoI0ZHJzvXQlvTBeGFfyoU7uoGdE2gtp/uoiHtodDZo3PO8dP2f50nvxv37ll+mDo62uLo5cDkwhGNHrxEbayBfAQ+LPAUKJXSBHj/6/HHdJ2Ji4rl1M4xhX7R8yZqnXnREwhBf1EPLoT4bex32LnrCgh4l9bBUy1vOHeec9uycHcDjBwlf2MFnHuCQzZZSDTKnNy+7vSsAHg7ZLNKjDbGEx0ZSLHt+LocnPYcixhhHUGTK80Dc7VxxtXVGr9VZpN9+fA8bnZ6CrhnfTg/HhKA5l5O7RXpUfCxh0RGUzpn03bNP/nJ8smEaj/8b+KdgWpO+DN86hzhj/MtVOI1yOGcDwMvl2fbFcD8qgjJeSffc1SlcgZ7LJ/E4LjrJ80/Y622Z7NeHy/du8tuxzelS57TK+aSNrpafJVFxMdx/HEE57yJJPs63WCW6LR5nEWgkWb5LNrI7umCjs/xMvREWgq3ehhK5Crx45cVLeWUCkqNHjzJt2jQqVapkTnNxcWHw4MHs3buXSZMmsWjRIqvUzXTtOIadC9BWbIre7zO05RphPL8H06ktyT5G454Hjb0LKjjliYLqfhAarQ5t/nKWj38yTqrL+HnJ+Qt4oNNpOeF/nfh4g8W5mOh44uMM3L71EACPHM4W559MSr19K3U9VndDIhg2YCmFinjili1zeg4AsuV2RKPVcPv8Q4wGy9uI+BgTxviXu7XQ2Wh5Z1h5DHFGVo30J3BfCPeuP6L5iArobDLnbXg94jYGk5EquUolChoc9PbYam2SfJyTjQNFs+Vj/ZXdKZZ/OTwYnVZLDS/L1+qTnhEbbca/Vi+HBWMwGamVr2yi6zna2GOrs2yjg96OMfW6UzC7NwH3Ujfhs1/1dmwKPMilNE6ATQ+BoUEYjAZqF6qQ6AvVydYeO/0z7bOxY3yz/6OwRx4CQq49t/xmpWqSxy0ne6+c5ItGH/JHtwkc6D+Pcc16Ya+3Tc+mJOvi3RsYjAbqFquYdBttErfx69Z9KJIjD+duP79H59ztq+i0OhqUtPy9FSe7hM+qZ/8NswLpIclicubMSYkSJZI8lydPHrZs2cL27duT/QXC5MTGxhIREWFxxBqMaa6f8dgGjEfXgUaLvkFPtDlSjrK1JWtjvLg/xTwAxkN/oozx6Hy7mSexajwLo8mfsBueenQ/pYenCydne97rWouQO+HM/m4bJpMJQ7yRtX/6Ex0dh2cuVyLCE+5K7O0t38y6f1enxMYaEpX7rPNng5k7cztnT99k47oTfNx9ATExmXMHauuop4JfPh7dj+XQkisok8JoMHF++y0MsUacPV5+uME9rxNvf1KKfOXd2T03gJsnw4iPSftr7UU9jo/ml3MbyO2Ug/6VOqFBg16j492ib+NoY09IVNKvpXbFGnI+7Cqbrx1Isfx5p1cRbzQw6K0u5kmspdwLUd2rLAAhURk/ITIyLopZh/4kr5snX9b7MKGNWh1dKjTF2daBW5Gh5rxezu4Mrd2Z1qXqUjl3cXZ88D0lPFKeQ1I5d3FK5izAktNbM7opSYqMjeLbPSvIlz0X45r1QqNJaN+H1ZrjbOdI8MOn7cvt6sHIhh/QrkJ93spXkn395lLSM+XPpQbF3gLgdsQ9vtm1lP8tHsn0XUsZ5NuRtT2mZGjbnoiMieKbbUvJ7+7FpNafmNvYw6clzvaO3HzwdDgut1sORjfvSfsqDahasDRHhi2glFfBFMuf8Pci4gzxTHv3U/Mk1kr5StCgREKAcvNh5s3pSi2TSr8jK3tlApI2bdqwffv2ZM/b2Njw66+/cuXKFcaNG5fqcidNmoSbm5vFMWX7xec/8Bm6+j0wXTqEYf1UjIfXoK/fHZ3vB8nm15aojSngn+eWq0KvEb9kOOrhbWze/QJ9k75ochZA4+aJengHIjM+IAHoM6ARnw1vztnTN+nTcxGzvtvKtasJH36VqxbC1i7hTubZwCPu379dXZ/f21GqTB6+GNeGNZsH4dugFBcD7vDX2uPp3JLkVe9UmNofFuPupQjWjTvBoSVXeBAcBYB36ZdfJRJ85gFBp8Ko17skLb6sSOiVSNZ8ccw8XJQZvj32OxMP/Uy5nMWY3/hL+lfuRCG3hGG/I3cST672dMhOx5JNGLVv1nPLvvjgOu//PZIbEXeY3WA442p9QrHs+cnj4klQ5J1kA570NmbXAj7fMou3vEuyrtNkRtfrTnGPhPlI+26cNue78yiMMbsWUHlOd8btWkh2Bxc+r9052XJdbB0Z6duNoVt+zPA2pGTU33MZsOZbquUrxeZeMxj/zv9R4t9AY8+VE+Z8tyPuM+rvuZSe3Ikv/56Hu6MrIxt9kGLZedwS5gnN/meVeXjnj5M72HBuP75FKtG4RPUMadOzhq2ZRd9l06hesAw7Bszi6zZ9zIHGrotPV+3dDr/HsDWzKPplO0as/RF3JzdGN++ZYtmngi9Rc2pPAu8G8XffGSzs+gXl8xSlUI7cXA69aRHwZBVvSg/JK7MPydixY/nggw9YsWIF7du3TzbfrFmz6NOnT6rLHT58OIMGDbJM/LFLmuqmrdgUbe5iGHf+DIBx/1LQ6dBXexfTlaOooDMW+TWehdFodaiQS0kVl4i6ewXD2slPr1ehCRq9LYYUhoTSm0aj4X/vVed/7z39QOrR+SdsbHQ0b1WJgHO3AAh/GGXxuPDwhL+9cltOiE2Jk7M9I79qzcF9gVy6mHn7V2g0Gso2zUvZpnnNaatG+qPVayjh6/VSZUc9jGXTtNO8O74KALmKudF8RAXWjjnGgV8v83afUi9Vflosu7CZZReezg/4rdl44ozxrL28yyKfXqtjUp1+TDg4n+uRt1NV9vmwqwzYNdX8d/vijbDT2bLy4rZ0qXtqzfNfzzz/pz/ytaXrDGINcSxN4j1jUiamH1hOs+I1KeOZ/AqNd4rXpF7BSlwZ+Eeicx3LNaB92bfp+9d0lp9J/sYpvczZv5o5+1eb/97dZzaxhjh+Pfp3orwmZWLKzt/wK+NDOa+k5188Yfh3j4+IWMv38Yaz+2hVtg5lvQqz5cKhdGjB883avZJZu5+upDzw+Xxi4+NYdPCvRHlNysSkTYtpVb4u5fMUfW7Zx25coM3coea/e9d9F3sbO+buXZMudRcv5pUJSFxdXVm1ahX79+/n/PnzlCqV/Af4rFmzMBieP0QAYGdnh52dZXd8rF6XTO6k6co2QD24ZZFm3LcEXSlftEWqYnwmIEmYzPr83pEk2Tujr9URU8gVjMcSvzEzy19rj3P29E0+GdCIXF5u2DvYoNNruXHNcgXHzRsJ3fRVa6T8QfgsV1cHihTLRXb3zJ2g/F8Xdt/m7qUIqncqjHOOl5t5f/lAKPHRRlxzPe0pylnYhbJN8nJu+60UHpmxWhb2pXzO4szw/z1RD8bYWp+w4coe9t068UJlu9k580nFDpy/f4Xfzyf+oswsHcs1pGqeUozZ+TPBkfeSzbf/xmne8i6Z7Pm/Aw9Se/7HiR/30Vz+DjzIhN2LUyw/o7xfpQnVC5Rh5MY53AwPTTbf3isnqZ6/dIplnb1zhRZlapMvmyeX7j2dI3MnMuF9fO/xw3Spc1p1rfEONQqVZejqWSn2YOwOPE6NQmXSVLa7kytj/T7i2I0LfL9zxctWNUNk9Z6N9PLKDNk8UatWrSSDkdDQUIvN0ObOnZsoT4aJi0GTLbdlmjKhosMtl+v+S1eiNqaAZFbX6G1Bm0xApLPBpmVCVB+/fipk8gz/J86evsm0iX9Rv2FpunxYGwA3N0caNinLkYNXUP/ZLezY0au4ujrwduOnHxKGeONz54YYjSZC70bSoHHZjGnEc4RcimDvz4EUrp6Tii1TmFeQzJisIc5oMTnWxj7hOQ2/bXnn6ZjdFhu7tAXA6aWsRxFGVO/B1usHWXh2rcW5kdV7EPjgOqsv7bRI97B/2tNlp7NBr0m67rZaG2b4Dgal+Gz3DOJM1nmtVs5dnKmN+7A2YC/fHUzcs/Ff+dxy8ee5XRZp9npb8wTgiNjHnL93PdEBEB6TcC4iNvn9djLCW/lK8m3rAaw6tYtvdi1NMW+B7F4sP2HZe/Pf9gEsObYVg9FAq7J1LPIV8vAmKi6G7VbYk6RqgdLM6jCYlcd2MGXLrynmLejhxdKjlvN77G3sEk3ifsJOb8uqXl+jUPxv3ghiDZk3fJoWb8qQzSsVkBw/fpzp06dz6NDTLsOlS5fi7e2Nl5cXrq6uvPfee4SGJn+XkBGMR9eg9SqKtszb5jRtkaponD0wnrJ8c2i8S6LiY/6zidp/6O2w7fkjNu9PS3RKk6soNh0ngI0dcb8NzvRt4wFiY+NZ/ccR+v3fYtq9V40J09qj0WjM5z8d1ASA9asTxnhvBT9gzUp/Bg5tZjGHpFuHH3m32QyioxLe/Lu2n2POD9u4eydhx1KTycSsGVvo1K0WRYrlyqzmAQmBxLmtwfw1/gRlm+ah0YAyFm18Ijo8oe5Jzf+IjzHye9+D/Dns6Yd3kZo5cfG058Dvl4mPNZrLOL/tFpVapX4zrvRgq7WhXbGGzG30BUsvbGLw7hkW50dU64GzjSM7g45S0NWbgq7elHQvyEfl3qWmd8Jkage9HX+/O4vlfpMTlV/GowiLm47FQW9Hh7+GZfq28ZAQLH1Q8R1Wd5zEfP91fLh6ovlc6ZwFmdCgF5X+s8OqX3EfNGhYeHyjOc3Rxo4THy9i94cv/6Nh6c1Ob0vP6i34q+c3/Lh/NZ1/H2M+V8arMFNa9KFK3qe9Pa3K1kGj0TD/0DpzmqONPQHDl3Gw/3xz2sXQG0zYtpjP6nWieM6E12VuVw8G1u3AhG2LCE6hBya92elt6VW7NVv7f8/M3StpP3+k+VxZ7yJMb9eftwo8vTltU7EeGjTM3ft0KMvR1p6r41ZxbMTiROW/VaAU+wbPxcnOgSqTPsiy28a/SV6ZIZu//vqL1q1bYzQa0Wg0DBs2jMaNG/P+++/j4ODAkCFD8PX15dq1a3Ts2JE1a9bg4uKSKXUzXfEnfu3X6Kq3Q1fZD6LDUdGRxC0ZBs904epK1saU3HCNMqKiIyHq4dP81d5FW6IWxEVjPL4RU8BeMGXeyowner7/EzEx8RQumotZ8z+kZOnEe0rkyOnCj4u6M23iX2xcdwKTUgz7sgV161v2aGX3cMakFDp9Qjx8L/QR61YdY+mvB6hUuQC582SjQeOyvFU9bbuhvqzVo/wxxBrJns+ZFl9WImfhpF8/u3+6wNXDCR/M57fdIvRKJM0+L4djtoShP61Og72LHge3p8skbez1tBxdiYO/XeaPIUcSVu1ooGqHQhSu7pnxjfvXr83GY6+z5dLDIHpu+YrzYZbLJL+s0Yt2xRsC0Lyw5V1yeOwjGvzxf0DCXIOHsZHcj3loPt+jbGsaF6xJVHw0SwM2sfHqPgwq81+rm7vOwFFvx/l712ixZCinnpmr5WzrQOOi1ehZpQWnQi5z9u5V/G9doPuaiaj/dHkZTCbCoiO5a6VhiuTs6jMbRxs7zoVcpclPAzgRHGhx3sXOgWYla9K7ZhtO3ArkzO0rHAk6x/u/j7HovTSYjIQ9juDuM9vBT9r+C3cfPeC3zqOJjI1Cp9Xx9fZfWXx0I5ll/5B5ONrac+bWFerP6MPxIMtN0FzsHWle1oc+vu04HnSRU8GXOHTtLB1+HpWojfcfhxMS+XTbgWFNutK+SgMiY6L4YdcfLDm82Tx3JqvK6j0b6UWjVGp/jcO6KlWqRGhoKLNmzaJEiRJs27aNKVOmEBwczKZNm2jUqJE574ULF1i5ciUjR45MocTkxX7zbnpVO0uK6tvB2lXIcIvO73x+plfcwlOZ87si1hQUHGHtKmSo6Acpb+L1OoiNjH1+plec+vFghpb/T4Hk5zallc/15/9IprW8Mj0kgYGBLFq0iFatWgFQsmRJ3NzcmD17tkUwAlCiRAkCAwOTKkYIIYQQWdArE5Dkz5+fIkUsV2p06dKFu3cTz7hWSnHgQMqbOAkhhBCvgjdlyOaVmdT6+eefs2bNmkTp/fv3T5S2evVqbt7M/G2dhRBCiPQmq2yymA8++IBChQqxcaPlxCq9PnEnzz///EPlypUzq2pCCCGEeEmvzJANJAQlqTFmzBiLPUmEEEKIV1VW79lIL69UQJJambXcVwghhMhor8hi2Jf2WgYkQgghxOviTekheWXmkAghhBDi9SU9JEIIIUQW9qb0kEhAIoQQQmRhb0pAIkM2QgghhLA66SERQgghsrA3pYdEAhIhhBAiC3tTAhIZshFCCCGE1UkPiRBCCJGFvSk9JBKQCCGEEFnYmxKQyJCNEEIIIaxOekiEEEKILMz0ZvyUjQQkQgghRFZmzSGbzZs3M2HCBLRaLbGxsZQpU4aJEyfi6emZKG90dDTz58/nn3/+oXjx4tSvX5/69eun+loSkAghhBBZmLUCkp07d9KxY0d2795N+fLlMZlMfPTRRzRr1ozDhw+j0+nMeU+dOkW7du1o3bo1ixcvxs7OLs3XkzkkQgghhEhk/vz5NGjQgPLlywOg1Wr59NNPOXbsGGfPnjXnO3bsGLVr16ZLly5MmTLlhYIRkB4SIYQQIkuzVg9JXFwcZ8+exWAwoNfrzWn29vZ4e3sDEB4eTvPmzalcuTKjRo16qetJD4kQQgiRhZlM6XfExsYSERFhccTGxiZ53e7duxMQEMCAAQNQKmFm7Zw5c5gxYwY5cuQA4KuvvuLOnTuMHTsWjUbzUu2UgEQIIYR4Q0yaNAk3NzeLY9KkSUnmbdasGdOnT2f27Nl07NiRn376ic6dO9O7d28A4uPjWbRoEV5eXly7do1u3bpRsWJF2rZty5kzZ9JeOSWsKiYmRo0ePVrFxMRYuyoZ5nVv4+vePqWkja+L172Nr3v70kNMTIwKDw+3OJ737zV48GDVtm1bZWNjo2bMmGFO379/vwJUjRo11Pnz55VSSl2/fl2VKFFC2dvbq3PnzqWpbhKQWFl4eLgCVHh4uLWrkmFe9za+7u1TStr4unjd2/i6t88aPv30U/XPP/8opZQaNWqUAtSgQYOUUkqtWLFCAWry5MkWj1mzZo0CVPv27dN0LZnUKoQQQohEZs2axaFDh/j+++8BGDduHPHx8UyePBk/Pz/zRFdXV1eLxzVv3hy9Xs/p06fTdD2ZQyKEEEKIRBYsWEDhwoUt0iZMmIC3tzfr1q2jXLlyANy4ccMij16vx8PDg5w5c6bpehKQCCGEECIRZ2dnAgMDLdJ0Oh2enp44OTlRtGhRfHx8WLNmjXkVDsCjR48IDQ2lZcuWabqeBCRWZmdnx+jRo194I5lXwevexte9fSBtfF287m183duX2YYMGYK/vz8LFy40p61du5abN2/Sq1cvIGEZcHBwMFOmTAHAZDLx+eefU65cOfr27Zum62nUf8MaIYQQQoh/rVmzhvHjxxMfH4+npyceHh5MnDjRYijn9OnTDBo0iIiICJRSVKlShYkTJ5I9e/Y0XUsCEiGEEEJYnQzZCCGEEMLqJCARQgghhNVJQCKEEEIIq5OAJIs4fPgwtra27Nq1y9pVSTebN2+mbt261KtXj5o1a9KzZ0/u3r1r7Wq9lCtXrtC3b1+aN2+eYr7o6Gh++OEHOnbsyJdffsnOnTszqYYvZ+HChZQqVQonJycqVqzIhg0bLM6Hh4fTv39/8ufPj4ODA3Xq1GHv3r1Wqu3LUUqxdu1a3nvvPQYPHszixYuTzLd69Wo0Gg3Xrl3L3AqmUkqvydQ+Xw8fPqRfv37UqlULX19fatWqxZ9//pkh9T18+DCjR49Gq9Wi0WjInTs3vr6+NGzYkHLlylG7dm1GjhzJrVu3MuT6Igt7yV1lRToIDw9XRYoUUYDauXOntauTLnbs2KGyZcumTp48qZRSymg0qu7du6vKlSsrg8Fg5dq9mB07dqhBgwYpQPn6+iab7+TJk6pYsWJqyJAhr9RvaixYsECNGjVKHT16VC1fvlx5e3srrVarjh49qpRSymQyqdatW6uvv/5aHTlyRP32228qd+7cysbGxry19Kvi3r17qlmzZqpx48bq9u3byea7fv26cnd3V4C6evVq5lUwlVJ6Tab2+TKZTOrtt99WPXr0UPHx8Uoppc6cOaOcnJzUn3/+mWF1L1++vALM11Qq4XPizz//VF5eXsrNzU2tWrUqw64vsh4JSLKArl27qo8//vi1Ckg6deqk2rZta5F2/PhxBZiDlFdVjhw5kg1I/P39lYuLixo7dmzmViodrF+/3uLv1atXK0BNnTpVKaXUvn371NKlSy3y+Pv7K61Wq5o0aZJp9XxZYWFhqmzZsqpJkyYWX4bPMhgMys/PT3Xr1i3LBiRPJPWaTO3zdfHiRQWo06dPW+Rt1aqVatOmTYbV2dfXN1FA8sSVK1eUu7u7sre3V/7+/hlWB5G1yJCNlS1cuJAyZcpQrVo1a1clXcXFxXH27FkMBoNFmr29Pd7e3las2ctzdHRMMj08PJzmzZtTuXJlRo0alcm1enl+fn4Wf5coUQKAWrVqAZAtWzY6dOhgkady5coUL148yw5nJKVTp07cvn2b3377zfxbHEkZO3YsXbp0oWDBgplXuReU1Gsytc9XXFwcACdPnrTIGxcXl2jb8MxSqFAhJk2aRExMDCNHjrRKHUTmk4DEii5cuMD69esZMmSItauS7rp3705AQAADBgwwbyk8Z84cZsyYQY4cOaxcu5ej0WiSTP/qq6+4c+cOY8eOTTbPq2Tbtm0MGzbMHJCUKVMmyXY5OjpSpEiRzK7eC1m3bh2bNm2iX79+Kb4O9+zZQ0hICO3bt8/E2r24pJ6X1D5fZcqUoXr16vTv35+AgAAAAgICCA0NZfjw4RlX6ed4//33sbGxYfPmzQQHBwNw5MgR2rRpg6+vL15eXgwcOJC4uDhMJhNr1qzBz88PZ2dn7ty5w6hRo6hRowb58+dny5YtFmVPmTIFHx8fKlasiEajoWHDhhbnN2/ezDvvvEOtWrXIkycPEyZMsNgaXWQQa3fRvKliYmJUkyZN1J07d5RSSi1cuPC1GrJRSqnp06crjUaj2rdvr+bOnau2bdtm7SqliwIFCiTqHo+Li1PZs2dXXl5eavHixapr166qQoUK6t13303UFZ7VmUwm9csvv6i8efOqHTt2pJg3PDxc2draqmXLlmVS7V5O8+bNFaDmz5+vevfurapXr64aNGhgMVfh/v37qlGjRurx48dKKaVGjx6d5YdsknpNJiW55ys4OFiVKlVKZcuWTf3yyy9q/Pjx6tGjRxlU2wQpDdk8UaZMGQWo7du3q0OHDqlSpUqpW7duKaWU2rp1q9LpdOqzzz4z52/WrJkC1A8//KAMBoMymUyqTp06Kk+ePOY8mzdvVrVq1VJGo1EppdTatWtVo0aNzOdXr16tatasqR4+fKiUUmrRokXmMkXGkoDESvr376/+/vtv89+vY0CilFKDBw9Wbdu2VTY2NmrGjBnWrk66SOrDf//+/QpQNWrUUOfPn1dKJUyILFGihLK3t1fnzp2zQk3TLi4uTk2dOlVVq1ZNAUqj0ajffvst2fxTp05VNWrUUCaTKRNr+WJMJpOyt7dXOXPmVFu3blVKKfX48WPVrl07BagFCxYopZTq0KGDxTyn1ykgSen5Onv2rOrWrZtyd3dXVapUUdevX8+Amj6VmoCkVq1aClBLlixR9erVU7Nnz7Y4X6VKFWVjY2MOnrp06aKevc8eMmSIAlRISIhSSqkpU6aosmXLqujoaHOecePGmf+/UKFCauPGjRZleHh4qNy5c79YQ0WqyZCNFWzYsAFbW1uaNm1q7apkqH79+tGmTRtWrlzJ0KFDGThwIJ999pm1q5Uhbt68CUCbNm0oWbIkAPnz52fy5MnExMQwZswYK9Yu9WxsbBg8eDCHDh1i06ZNODg48NlnnyXZXR0cHMzMmTNZvHjxKzFEde/ePWJiYnjrrbfMXfSOjo7MmjULW1tbhg0bxsyZM6lTpw7ly5e3cm3TX0rP1+nTp5kyZQqLFi3i4MGD3L9/n+rVq3Px4kUr1TZBeHg4ANmzZ2fv3r3MmTOHevXqmY9Hjx7h7e3NjRs3ANBqE3+lPZlfEx0dDUCjRo24dOkSlStXZuXKlZhMJvOcr8DAQK5evcqYMWMsrpMtWzbs7OyIjIzMjGa/uawdEb2J6tevr3Q6ncWh1WoVoLRardLpdNau4kubOXOmqlatmkXa0KFDFfDcYYCsLqm70VWrVilA/fjjjxbp8fHxSq/Xq1KlSmViDdPP559/rgDz0OITsbGxytfXN9GdZFYWFhamANWhQ4dE557crRcqVCjRe1Oj0ShA6XQ6VaRIESvU/Pme10OS0vMVHR2t8uXLZ3Hu2rVrKleuXKpu3boZUV2l1PN7SCIjI5Ver1cajUZdu3ZNASn21imlzCui/iupHq5jx46pOnXqKECVLl1a7d+/XymVsDIJUPv27Xu5xokXIj0kVvDzzz9z4sQJi2Ps2LEAzJ8/nxMnTli3gulgwYIFiWboT5gwAW9vb9atW2elWmWccuXKAZjv1J7Q6/V4eHiQM2dOa1Trpfn6+mJjY4Obm5s5TSlF9+7d6dKlC82aNbNi7dIme/bs5MmTJ9FzBODl5YVer2fTpk2J3pu9e/cGYOPGjWzcuDGzq/3Snvd8bd26laCgIIv3a4ECBRg9ejR79uzh4cOHmVjbp3755RcMBgMtW7bE3d0djUbDqlWrEuW7c+cO9+7dS1PZlSpVYs+ePaxfv55Hjx7RsGFDgoKCzK/zpDaFu3jxonlFksgYEpBYQaFChShbtqzFkSdPHotzrzpnZ2cCAwMt0nQ6HZ6enjg5OVmpVulDJcy9skgrWrQoPj4+rFmzxuLco0ePCA0NpWXLlpldzXRx7do12rRpg729vTmtT58+lC9fnh49eljkvXPnTmZXL80++OADjhw5Yh5ie+LKlSs0bdqU4sWLJ3pvenp6AlC8eHGKFy9ujWo/V1KvySee93w5OzsDJHq/ent7Y2tri62tbQbUmBRXrQQGBjJy5EhcXV355ptvcHFxoUqVKqxatYohQ4YQFRUFwN27d+nduzcuLi7PLfOJGTNmcP/+fSBhqfuWLVuIiori8OHDlCpVCi8vL7777ju++eYb4uPjAbh69SojR47MsH8LkUACEpEhhgwZgr+/PwsXLjSnrV27lps3b9KrVy8r1uzlxMXF8fDhQ0JDQxN9+M2ZM4fg4GCmTJkCgMlk4vPPP6dcuXL07dvXGtVNtYiICAYNGsSff/6JyWQCEpZ+/vHHH3z//fdAwod9nz59CA8Pp2XLlgQEBBAQEMDx48cZP348W7dutWYTUmXYsGGULl2aPn36mL9sli5dSmBgINOmTbNy7V5Mcq/J1D5fdevWpXr16owePdr8RR0ZGcm3337Lp59+muy+Oy8rLCwsUZrBYGDZsmX4+Pjg4ODAtm3bzEuUJ0+ejF6vZ9q0abi5uVGwYEHy5s1L06ZNsbOzAyAoKAiwDI6fXOf27dsAxMbG0qNHD/N8kNjYWBwdHalatSo6nY7JkydjMpkYPHgwLi4uFChQgGLFitG9e/cM+XcQ/2GVgSKRyOu4ymb16tWqSpUqqnz58qphw4aqQ4cO6vLly9au1gubM2eOKlSokAIUoEqVKmWxUkoppU6dOqUaNmyoqlWrpqpWrap69+6twsLCrFTj1AsNDVU+Pj7K3t5eFS1aVHXp0kWNHTvWvPRRKaU++ugjc9ufPbJnz26xaiErCw0NVR988IGqWLGiqlWrlmrRooU6e/Zssvmz8iqblF6TaXm+7t+/r3r27KmKFCmi6tatq+rWravmzp1rXhqbnrZu3ap69uxprou7u7uqWrWqqlOnjipZsqRq1KiR+vbbb83Lrv9rx44dqnr16srW1lbly5dPfffdd+ZzT1bkACpv3rxqw4YNql27dkqv1ytA5ciRQy1dulRNmjRJAcrNzU35+PgoX1/fRPPaVqxYocqWLatsbW1V8eLFE+14KzKGRinZ7UUIIYQQ1iVDNkIIIYSwOglIhBBCCGF1EpAIIYQQwuokIBFCCCGE1UlAIoQQQgirk4BECCGEEFYnAYkQQgghrE4CEiGEEEJYnQQkQgghhLA6vbUrIITIusLCwjh69CihoaF4eXnRoEEDa1dJCPGakh4SIUSyLl++zLp163j//ffZs2ePtasjhHiNyW/ZCCFSFBwcTN68edm0aRNNmjSxdnWEEK8p6SERQqRo3759aDQaatSoYe2qCCFeYxKQCCFStHfvXkqXLo2bm5u1qyKEeI1JQCKESNGePXuoVauWtashhHjNySobIUSyHjx4wJkzZxg0aBAAoaGhTJo0CY1Gg6enJ0OHDrVyDYUQrwvpIRFCJOuff/5BKUXNmjV58OABs2fPZuLEiVy8eJHffvvN2tUTQrxGJCARQiRrz549eHh4kDt3bn744QdGjBiBvb09sbGx9O7d29rVE0K8RmTZrxAiWTVr1iQyMpLmzZszevRoHB0drV0lIcRrSnpIhBBJio6Oxt/fnyJFinD16lW6du1KQECAtaslhHhNSUAihEjSgQMHiI+PZ+zYsaxYsQJvb2/8/PzM58PDw61YOyHE60YCEiFEkvbu3Yu7uzvly5cHoGjRokRGRgIQGBjIvHnzrFk9IcRrRgISIUSS9u7di6+vLxqNBgA7OzsKFSoEwNKlS+nYsaM1qyeEeM1IQCKESFJERIRF0NGxY0eyZctG3759KVCgAHnz5rVi7YQQrxtZZSOEEEIIq5MeEiGEEEJYnQQkQgghhLA6CUiEEEIIYXUSkAghhBDC6iQgEUIIIYTVSUAihBBCCKuTgEQIIYQQVicBiRBCCCGsTgISIYQQQlidBCRCCCGEsDoJSIQQQghhdRKQCCGEEMLq/h828r9TrdpVMwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_6940/4143931343.py:20: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Dense' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n",
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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3b95qFFTgdS1omp+FWS4/i8Ti02tTw9OXNhUb8N6ar7XSU3N7vk3Uj429ZyrkfjhjNn1DxVl9+OHwOso4uDOiUQ+tPAFla9HKtx7D182m/eLR1Crpx/ZB3+BsZV9EtX4x5ipT2vjUY2PoAa10Dxv1CoyfzmzSzFNaF7KPrWFHaVyqOi3K1C70uipR8HaVfnx/bgnxaQl6l3uYGseMo7OJT42nsWfDAqzhi6k260PubtjGsb7vEjJnEdW+nETV4Am55s9MSmZv815ErNpEjblTqbf8azy7tMWqTEmys7K4v//pXDjngIa4tmrK6WGTOdD+dUrUqkqzHb9h5lz4c8H+X/ynA41//vknzzwTJ04kLi5O66C2Z4HX7dp99eoKJxvtN2Ena/XjWw/UEfiTT/Xxj4cRnlh/Rv1pq5qn9uS74kjzs7DO5WcRe0+njDGys7BmUZ9J9P55MvcTH2qdu/Z4vobT456sJ570bN2K1Z0nYIzSMtMZt3ket+OiqepeVpPuZuPA769NZ9lJ9UTF4xGX6bx0PKVLuPJZ+3eKqrovpKV3Xc5HX9fZEyMzW93TmZCWpJW+5bp635tKTt6FUT0tr1XsyfmYSxy6eyzvzM9IykhiZ8Q+bMyM69O8z5DXcKhXgwdH1MvLL02fy9VZC/F9dwDOzRrkWi41KobTw6ewq0EnjvV/j6idB7CvXonIbftIDld/eDR3c6bByvncXPYnALHHznKw89tYlvag6me5BzJFTakw3FEk9S+a2xaO0aNH55nH3NwcOzs7rQNVwf9Ydl5Rrz7wc/PSSvd1KQXAtkvqtfvn7qjHHr0c3bTyPZnbEf0o58lRxcmuq49/Fq7aP4tyLqVITU9jT0je+1kUNTOVKb+/+Qkf/vUDZ+6E6pzfHaLed6TCM230dS5FakYae6+dLoxqGkRmVhaHb13gfmKcJq1r1UDsLKy1VpicvhPCD4fX0aFio6Ko5gvrUqEp66/u10m/dP8GACVtXbTSox4HJDHJcRSmVqUDsDe347crq1/4GjHJDwhPKNwN4/JS5vXuJIVpT5q+OPUrku9E4t5R/2GeGl99THpcAufGztCklezaDlM7G63rx526wPXvV+Tr2oVNhk4KUVBQEC1atMjzaN68OVWrVuXSpUuFXkfF4+NZSoUSKzMLzeNzt0PZH3pGs+LiicAKtbkaeYvdj//4rj29m4dJCXStGaiVr6yzJ1lZWWw8q/uGWNAUipy/tvjZNmqVefxTyWmW+y9HtxKfnKjzs2jmW5Nfj/+j95JhQ1LkMh8/pzaaKFWseH0aPx/5i38ua+/q6marng2/4sRW4lMSae1XX+t8k3I1+P3EtkJvo0KRcwuVCiVWpjk/h/9WxsGdP87u1DxOTEsGwNeppFa+uwkxRfL8wePnMLfXqUnOc2KsTC1o7lWLTdcO6pz788puMrIy6VBOe6ihjJ0bSemp7Ak/bZB666OJZ0NquVbnu7OLtdJLmKt7AZUoMFflPX+rXAkf1oVuyvGc4pl/C0vGoySsfb21E7OySI2OITNJ/TpDqUT1eKJnTqp8Og6nxnU4OeQDEq/dfHrtx3tsPHv9lLtRT68tDK5YBRre3t7s3r2b8+fPc/36dcLCwnI9IiIKf+tqU5UJJaxscbHVHetb984XRM7cTGmHpz0Tw37/ksoePrTwqwtAbS8/OlVvytDfvtDM1H+QGM+oVXN4y78jTXxrAOou+o87DuSH/es4cavwNkKCx220tM1x34e1Q2Zy7/O/tNr4hOvjn4lrDj+b2KR4xqyZS/8G7XCzU/9hHtasO0qFgg83fG/YBuhB3UYbnHNo4+q3g7k9fQOlS6jb+KQnI/R+OGduh+Dn6oWfqxd1Svsxp+u7mh6M2KQExq37ln5122mCj6GNu6FUKJm8eWGhtQ3U7bO3sMbZWnfuxMq+nxD2wWpK2avnBjX2rs6MtkMo71xak2eYfzeO3LrAPyFPd8xcc343YQ/u8GnbIZp5KC7WJRhQL4jZe38r4BbpMlWaYG9ujZOlnc65pUGTOD9wGSVtnHXOtS/bgGN3LxObojvfITT2NrOO/M6IOt3xdVAHVG7Wjgyr3ZXZR3/j7qPC2d21iac/nct2YNXVdbhbueFp7YGXbSmaePrzik87AMbVfZdFrb7B2UL9WvO282JEjUH42JXRXCewVBMuPwjhevzNHO9jb67+2dmZ6/4MC1LI1z/hULsqXv27adLcg1pi6enOjZ9WAtBw1Xza3ziAZSntFWmWJd2ps3gWXv26cqDjW9zdsF3r/O01W0gMC6fKjHGoLNUBtZmLI95v9+Lq7ML9PcyP4t6jUayWt44ZMwYLCwtmzZqVZ960tDQqVapUCLVSG9ykCxPa9sfe0gZ7SxsufPQbo/+cy9aL6iVZUQkPeJj8iNSMdE2Zc7dDafn1CL7sNpKPOgwgMzuLoAVjOXBN+7shlh/5m4SUJL7u+T5JaSmYm5jyx8mdhb6vxuAmXRjfup+mjecn/8qYNd9o2hidEMvDpEekZmgv81s35AsCy6snyk3tOJDO1ZvRePZgrTw/HdxIZlYWm4bOJikthbvxMTSd806hbj8OMMi/M2Nb9tW08cyE5YxbP0/TUxGdEPv4eVS3cd2gmZpeirEt+mpd61LkDUavnat5vPjIJjKzs9gw6EuS0tVtDPxmWKG2cUC9IEY37Y29hQ32FjYcH7WYiX9/x7YQ9Rh/dGIscSmPSHv8OnW0tKNbtUCG+nfl8K0LXIu5zY7Q4yw4tEbruolpKbT7aTQz2g3hyIhFRDxe/vrJ9iWsv6i9eqOg9a/alpF1umNnbo2duTV7+83j432L2XVTPXx1PymOuLRE0jJ1lzPmtNrk3746tpL7SQ9Z2G48CWlJmChVfHVsFb9d3J5rGUNqWtKfETUGoVQomdVM9ztcJh6YDkB8WjyJ6UmkP17VlJKRQikbTz5t9CGXH1zlRkI4eyMOcjNBd5MqZwtHxtQZoQlKJtZ7nwN3jrD4wi8F2LKnIv/ezZFew6gwYRjlhr9BanQMaQ8esiegJ8kR6qG51OgHpMclkJWm/j10admYytNGo1AquLN+G2dHTyf9oe4E68zEJPa37U+Vz8bT/OgGkiPuqb/rZPpc7qzPe05fUSnuy1sV2S+6c08R2b17N4GBgXrlXbhwIYMHD8474zMUQ41vFrYhKYpqRlAhUpnlvfNhcWdmXfyXNufFxjX3nS7/C5qVcyzqKhS4vj0P5Z2pmOuSpLstuiFdqlkx70x6qnS6cHvBoZj1aAB6BxnACwUZQgghhDFRFvMPh8Uu0BBCCCH+nyhUxTvQKOYjP0IIIYQwZtKjIYQQQhix4j6vTgINIYQQwohJoCGEEEKIAiNzNIQQQgghciE9GkIIIYQRk6ETIYQQQhQYGToRQgghhMiF9GgIIYQQRqwodwbdunUrM2bMQKlUkpqaSpUqVfjss89wdXXV+xrSoyGEEEIYMYVSYbAjP3bt2kXv3r2ZN28eu3fv5sCBA2RnZ9O+fXsyMzP1vo4EGkIIIYTQsWjRIlq2bEn16tUBUCqVjBw5kpMnT3LhwgW9ryNDJ0IIIYQRK6rJoGlpaVy4cIGMjAxMTEw0aRYWFnh6eup9HenREEIIIYyYQqk02JGamkp8fLzWkZqamuN9BwwYwOXLl3nvvffIzs4G4Pvvv+err77C2dlZ7/pLoCGEEEL8nwgODsbe3l7rCA4OzjFv+/btmTNnDgsWLKB3794sXLiQvn378s477+TrnjJ0IoQQQhgxQw6dTJw4kdGjR2ulmZub55r//fff586dO4SFhTFixAi++OILWrZsma97SqAhhBBCGDFD7gxqbm7+3MDiWaNGjaJ37940atSIKVOm8P777xMeHs7s2bP1voYEGkIIIYQRK6otyOfPn8+RI0f45ptvAPjkk09IT09n5syZBAUF0bx5c72uI3M0hBBCCKFj8eLFlC1bVittxowZeHp6smHDBr2vIz0aQgghhBErquWtNjY2hISEaKWpVCpcXV2xtrbW+zrSoyGEEEIYMaVSYbAjP8aNG8eJEydYsmSJJm39+vVEREQwePBgva8jPRpCCCGE0BEUFMTatWv59NNP+frrr3F1dcXJyYkjR47g5eWl93Uk0BBCCCGMWFFNBgXo0qULXbp0ealrSKAhhBBCGLGimqNhKDJHQwghhBAFRno0hBBCCCNWlEMnhiCBhhBCCGHEZOhECCGEECIX0qMhhBBCGDGFsnj3CUigIYQQQhgxmaMhhBBCiAKjlDkaQgghhBA5kx4NIYQQwojJ0IkQQgghCowsbxVCCCGEyIX0aAghhBBGTIZOhBBCCFFwZOhECCGEECJn0qMhhBBCGDEZOhFCCCFEwVEV78GH4l17IYQQQhg16dEQQgghjJkMnQghhBCioBT3Dbsk0BBCCCGMWTHv0ZA5GkIIIYQoMNKjIYQQQhgzGToRT/g4ezK6ZR98nDwJWjBGrzIV3b35qse7WJlZoFKqmP7XT/xz6Uiu+d3sHHmvRW887Z25dO8Gf57cRWh0uKGakCcfJ3UbvZ08eOW7sXqX61ClEWNavcbSw5tZdmTzC+cpDD5OnrwX0AtvJw86/zg+z/zudk58FvQOrf3qY2tuxb7rZ/hgw3wu3AvTyduxSmMmtOxHRlYmiWkpvLfmK67dv10QzciVt4MHIxv3xNvBne7LJ+WZ387cmhnthhBUqREqpYp9YWcYs+lb7iXEaOVzsrLjk7aDqeJWFgsTU249jGL85vmEPbhTUE3JVRk7N4bU6oKXnSv9Nn6SZ/45LUfQt0qbHM99tHcRP5zeoHsPe3eG1OyMpYkZobG3WXV5J9FJD1+26nlSoKBtmRa09W6Jq6UL0cn32XD9b3aG79Wr/IxGU6jgUE7zOCopmuG7xmnlMVOaElCqCUE+bfn06Cyik+8btA15cW3VhArj34GsLJTmZsRfCuXix3NIi36QaxmFSkX5sYPxeKUV2RkZKFQqLn48h+idB7XymTk5UOXTsdhVqYDS3Jzk8NucHfcZSWGF9z6aX8V9Hw0ZOjGQwAq1GR7QgxGBPbE2t9SrjK9LafaO/o6fD/9FwJyhDFj+KasGzaBVxfo55u9ZuyWnJy3n/J3rvLF0Op9vXVaoQUZg+doMD+jO8IAeWJvp10YTpYrBTbowvk0/mleogyKH3xd98hSWAN9aDG3cjWFNu+vVRnMTM5b3+5ijNy/SZdF4xm+YR0PvKuwetYByziW18narEcjSvlN469dPaTFvBL+f3MbOEfNxt3MqqOboaOZTkyENOvNOwy5YmVnkmV+hUDA7aCS7rp2g67KJ/HR0I12qNGPt68Fa+cxUpvw9YA6PUpMJ+H4YDeYNIuzBHXYO/gZ328JrH0DjUtV4q3pH3q7RESvTvNtoaWJGp/JNiE1JIDQ2gpAH6iM0NgKALWFHdcoMqvEKG7oHszXsCO/v+Jb5J9cUSpAB0NU3CG87L747u5iZx78mMT2RodUH8ErZdnmWreJUEVdLZ24/uqs5NoVt1crjaOFAK6/mdPMNwtPGvaCakSvnZg2ou3QOZ0d/wv52r7O3RR8UCgWN1v0Iytz/ZNX4ZipurZuyv21/9gb2ImT2j/iv+QHXVk00eZRmpjT+eykZCYnsadaTXQ06kXg9nGY7f8fCw7UQWvf/SXo0DGT31ZPsvnqS1xu017vMN71GEx4bxcrj2wG4GnmLP07uZFG/ifh+1IOMrExN3oGNOzOv1xg6zB/NzivHDV5/fewOOcnukJP0r69/GzOyMlm4fx0RsVE08631wnkKy57QU+wJPUW/em31yt+1egBT/vqBwzcvAHAi/Ap342NY8/bnjG7eh+F/zALA1tyKb7qPZsmRTZoejBXHt/Jhmzf5svNI+i+fWiDtedbesNPsDTtNn1o5f3p/VmVXb6bvWEL4w0gATt8JoZKrN69UboKTlR0xSfEADG3YlUqu3jRfOEJTdso/C+lVoxWftx/Km6s+NXxjcnEg4hwHIs7Rs1JzvfJ3KOfP9P0/s+z8Fq30hp5VmNp0ADfj7mmlT/Tvx1vVO9Dpjw+4/OCWweqtDxOlCdamVnx/bokm7WpsKF8FfEYP385sDttGZnZmruU7lW3PlEMzuJcUlWueBymxbL7xD04WDnQqp//vuqGUebMn0bsPEX/+ijohO5vr3y2n+eH12FUu/zT9X0rUqUaZN3pwuPsQMhOTALizbitRO7pSc950tlVtQ3ZGBmWH9seucnn2Nu+tKXthyixK9e5E1eAJHH9Tv57oQicbdol/S0pL0Sufj7Mn7av4s+PKMa30vSGnKOPkwSvVm2rS/MtW47s+4wjeuqzIgox/S0rXr41aZfT4uej7sysMSWmpeuU7dydUE2Q8sfH8fhJTkynj4KFJ616jOW62juwMOaGV98D1s3SvEYiLTYmXrnN+JKfr174LkWGaIOOJkPvhXI0O1wQZAG39GvAgOYHEfz2HqRnp7Lp2gs6Vm+rVs2Bo+rbx+N3LOkEGQNcKzVh3dZ9WWufyTXiv3qtM2buo0IMMACsTSzZc+1srLSUzlZNRZ7AytcTWzCbXsmXtyuBq5YKzpRMmClWe90rN1O/nZ2hKM1PsKpVHoXpaR4WZKZnJKaTczTlAcmvbDIVSSVL4Xa30e5t3YeVVEudm6l5it3aBpD2I0wQjAFmpaUTvPIBnlzaorPTrqS1sCqXCYEdRkEDDwLL1zNe2ckMArkZqD31cvncTgIDyTz/Zz+s1lsS0FGZv/9UgdXxZ2fo28t9l9PjJ6JOnsOhbl5zmYQCkZKRxPebp3IvWj4fDQqKeeb6jbmKqMqGRT/UXrOmLyX6RJxH1UEqdUhV5+8/PtNJdrEvgYGmDqUq7kzT8YSRmJqZUcC79wnV9Ufo+hzfjI3XSVAolHX392RCyX5NmoTJjWtO3CXt4l1WXdhmsnvkRn5ZAXFq8TnpqZhpJ6UnEp+qee6KLbxClbDz5uOEEFraaS6ey7VGQ+x+eovptvLlsNbYVy1Hty6fzh3wG9uHchGDSYmJzLGPu7AiAhZuzVvqTwMOuSoXH+Rwwc7BDYWqqk09pZoZNBR+DtUM8VawCjczMTKKionJ9k4yMjGTChAkcP170n/rz4u2o/rR7L157Ql1cyiP1eSf1+TpeFant5ce+0NMMC+jOyoGfcvrD5czvPQ4HK7vCrbTQSwWX0jhZ2/PLsaefkjXP9zMTKOOTEx+fL/yx8PxysLRlYbcJpGakcTtO+5PlpaibqJQqmpetrZVu9Xiei5mJ9hu7sWvmVZPrD+9w59HTSZCtfOriYePEodvnGdegD0uDPmRb76+Y3Oh1LFRmRVhb8HPwZf+dw2Q9Jzz45+ZO5p76ni03dmCiVNG/Ui/G1hmJ8jnBRlGI+mcv58Z/hs/g16i77CvKDHiV8N83cGPR77mWSbh8DQCXFo210k0e91Aozc00+RQqFS7N/bXzWT/OZ1a0z2OuVArDHUWg2AQac+bMwcnJCQ8PDxwdHRkxYgT372vPhHZzc6N69eo0aNCgiGqpP0drdZDw7HBBRqZ6fNXS1ByA1pXUn4TvxsWw6MB6ei2azKhVc3jTvyMHxy3E3MRIfzH+jw1v2oOVJ7dz9NZFTZqDlS2gOySTkZUBgMXj59tYlXcuzeSWb9HSty5tKjRg15D5uNk4aM5/uecX0jLSmdHuHc3kz5oe5Qksq+6Zux0fXST1flE5DZsElK4JwL3EB8w7uYY3Ns1g/ok1DKvdlV87f1QEtVQra+9NKRtPVl5d+9x852Musf/OYX66sJxRuz/gauw16rvXpk2ZFoVUU/1dm7eU0LlLUKiU1JgzBfsqfs/Nf+uXtSSGhVP2nb44NlQHuxYerpTu0wmAlNvqXqsrX3xHVloaVT8br5n8aV+zMi6B/o/z3cvh6kZAAo2C99NPPzF27Fjs7OwYMmQIb7/9NidPnqR8+fKsXr1aK2+NGjXyde3U1FTi4+O1DjKzDFn9HKWkpwFPA4onLEzVgcODx+PfpRzUvww/7l/Pg0R12t6QU/ywby0V3b15q1FQgddV6K+Gpy9tKjbgvTVfa6Wn5vZ8m6gfxybl3uVtDELuhzNm0zdUnNWHHw6vo4yDOyMa9dCcP3fvOs0XjuBaTATrXv+cH7qNp6p7WbwdPLj+4A6344pPoGGuMqWNTz02hh7QSvewUQdQP53ZpJmntC5kH1vDjtK4VHValKmtc62CpkTB21X68f25JcSnJehd7mFqHDOOziY+NZ7Gng0LsIYvptqsD7m7YRvH+r5LyJxFVPtyElWDJ+SaPzMpmb3NexGxahM15k6l3vKv8ezSFqsyJcnOyuL+fvVcuPhzV9jTvDeJ127iv/ZHav8QjH1VP6y8S5F4/RbJxhpoFHPFYtXJrFmz8Pf3559//sHa2lqTfvz4cUaNGsXp06f55BP1WnlT0/x10QYHBzNt2jTtxDoloV6pl67381y7r14652Rjr5XuZK1+fOuBOgJ/0sMRn5KolW/9mX2837IP1TzLIYyDnYU1i/pMovfPk7mf+FDr3LWY21T1LIeTtR2Jacma9Cc9W7didecJGKO0zHTGbZ5HUKXGVHUvq3Xu9J0Qev/69JP9wPqdsDA1Y/HRjYVdzZfS0rsu56Ov6yxXzcxWfwBJSEvSSt9y/QgdyvlTycmbnTdPFlY1AXitYk/Ox1zi0N1jeWd+RlJGEjsj9lHXrWhXej3LZ8hrONSrwbmxMwC4NH0uChMTKowdzL2/d3N/b877DKVGxXB6+BTNYxu/slSfPZl7W/eQHP50L5e4Uxc40mu45rH3oD6oLMwJ+2llAbXo5ck+GoXgxo0bTJs2TSvIAKhbty779+8nLS2Nt956i6ys/PdETJw4kbi4OK2D2p6Gqnqudl5Rrz7wc/PSSvd1UQc42y6p1+6fu6Mee/RydNPK92RuR/SjnCdHicJlpjLl9zc/4cO/fuDMnVCd87tD1H+AKrg+83w7lyI1I429104XRjUNIjMri8O3LnA/MS7XPI6Wdkxu+San74Sw4PCaQqzdy+tSoSnrr+7XSb90/wYAJW1dtNKjHgckMcm5/zwKQqvSAdib2/HbldV5Z85FTPIDwhMKd8O4vJR5vbvO5lkXp35F8p1I3DvqP8xT46uPSY9L0AQsOTF1LEGlyaN4ePoC1xcse+E6F7giGjrZv38/CoUixyM/owfFItDw8fHBxibnZVtKpZKZM2fi7+9Pz549SUtLy9e1zc3NsbOz0zpeZs2y4vGhU0+FUmuDpHO3Q9kfeoY2lbTnkwRWqM3VyFvsvqoORNae3s3DpAS61gzUylfW2ZOsrCw2ntV9QyxoCoV69cGznm2jVpnHP5XnzXLXJ09hUeRSi5zaaKJUseL1afx85C/+uaz9acvNVj0bfsWJrcSnJNLaT3sztiblavD7iW2FvrRXoci5hUqFUq+lqGUc3Pnj7M4cz5mbmPLra9MgO5t+v08jNSP9pev7IhQocn+dmuQ8J8bK1ILmXrXYdO2gzrk/r+wmIyuTDuW0hxrK2LmRlJ7KnvDTBqm3Ppp4NqSWa3W+O7tYK72EubpHVIkCcz0mqJYr4cO60E05nlM8829hyXiUhLWvt3ZiVhap0TFkJj3uDVQqn7sUtcqn43BqXIeTQz4g8drNHPMozc1o8Nu3kJ3N0b7vkpWav78dhUqpNNyRD0uWLMHMzAwfHx/8/Pw0h62tLZ07d9a/+vltb1EYPnw4ixcvfm6ewYMH06NHD15//fVCqpUuU5UJJaxscbF10Dm37p0viJy5mdIOT3smhv3+JZU9fGjhVxeA2l5+dKrelKG/faHZrOtBYjyjVs3hLf+ONPFVR5B2FtZ83HEgP+xfx4lblwuhZU+ZqkwoYWmb474Pa4fM5N7nf2m18QnXxz8T1xx+NvnJUxjUbbTBOYc2rn47mNvTN1C6hLqNT3oyQu+Hc+Z2CH6uXvi5elGntB9zur6r6cGITUpg3Lpv6Ve3nSb4GNq4G0qFksmbFxZa20DdPnsLa5yt7XXOrez7CWEfrKaUvXpuUGPv6sxoO4Ty/1qeOsy/G0duXeCfEN0dM2uX9GP7oG+wNrOg8XfvFMn24wCmShPsza1xstRdmbU0aBLnBy6jpI2zzrn2ZRtw7O5lYlN05zuExt5m1pHfGVGnO74O6l1f3awdGVa7K7OP/sbdRzE6ZQpCE09/OpftwKqr63C3csPT2gMv21I08fTnFR/17qDj6r7Lolbf4Gyhfq1523kxosYgfOzKaK4TWKoJlx+EcD0+5z/E9ubqn52deeGubgv5+iccalfFq383TZp7UEssPd258Xh4o+Gq+bS/cQDLUh5aZS1LulNn8Sy8+nXlQMe3uLthe473KFGnGk13/IbK2ordjbsZ9fbjRSUpKYlHjx5x9+5drl+/zuXLlzWHi4sLvXr10vtaxWKOxrBhwwgODmb8+PGMGzcOFxeXHPP16dOHrKws3njjjUKuIQxu0oUJbftjb2mDvaUNFz76jdF/zmXrxcMARCU84GHyI61Pd+duh9Ly6xF82W0kH3UYQGZ2FkELxnLg2hmtay8/8jcJKUl83fN9ktJSMDcx5Y+TOwt9X43BTbowvnU/TRvPT/6VMWu+0bQxOiGWh0mPSM3Q/mSwbsgXBJZXT5Sb2nEgnas3o/HswfnOUxgG+XdmbMu+mjaembCccevnaXoqohNiHz+P6jauGzRT00sxtkVfrWtdirzB6LVzNY8XH9lEZnYWGwZ9SVJ6CnfjYwj8ZpjOEueCNKBeEKOb9sbewgZ7CxuOj1rMxL+/Y1uIeow/OjGWuJRHpD1+nTpa2tGtWiBD/bty+NYFrsXcZkfocRYc0h4OGdusD92qBpKQlsz3h9ey8swOrZ1tC1P/qm0ZWac7dubW2Jlbs7ffPD7et5hdj+dP3E+KIy4tkbTMDJ2yOa02+bevjq3kftJDFrYbT0JaEiZKFV8dW8VvF3P+g2ZoTUv6M6LGIJQKJbOa6X6Hy8QD0wGIT4snMT2J9MermlIyUihl48mnjT7k8oOr3EgIZ2/EQW4m6P6BdbZwZEydEZqgZGK99zlw5wiLL/xSgC17KvLv3RzpNYwKE4ZRbvgbpEbHkPbgIXsCepIcod4XIzX6AelxCWQ97sF2admYytNGo1AquLN+G2dHTyf9oe4E6/JjB1Oye3syEhK5/t1yIlZuIjtD93VgbBRFsFokKSmJH3/8Ud3L/y9HjhzBysqKKlWq6H0tRfaL7txTBNLS0oiPj8fZWfeTyL+tWLGCvn37PjfP8yiGGt8sbEMq7hOL9KEyy3vnw+LOzPq/v7TZxjX3nS7/C5qVcyzqKhS4vj0PFXUVClyXJN1t0Q0p/YfeeWfSU9abS0lN1V5mb25ujrm5fkvs33//fZycnJg8ebLe9ywWQydPmJmZ5RlkAC8VZAghhBD/VcHBwdjb22sdwcHBeRcEsrKyWLVqFb175y/wKRZDJ0IIIcT/LQMOnUycOJHRo0drpenbm7Fnzx48PDzw9fXN1z0l0BBCCCGMmCGHu/MzTPKs33//PV+TQJ+QQEMIIYQQz5Wens6aNWs4ceJE3pmfIYGGEEIIYcxeYm8nQ9m2bRvly5fHy8sr78zPkEBDCCGEMGZF9GVo//bbb7/lexLoE0UfJgkhhBDCaKWkpLBx40Z69uz5QuWlR0MIIYQwYkW999GmTZuoVasWHh4eeWfOgQQaQgghhDEr4qGTHj160KNHjxcuL4GGEEIIYcyK+W7OMkdDCCGEEAVGejSEEEIII1YUX6pmSBJoCCGEEMZMWbwHH4p37YUQQghh1KRHQwghhDBmxXwyqAQaQgghhDGToRMhhBBCiJxJj4YQQghhzIp5j4YEGkIIIYQxK+ZzNIp3mCSEEEIIoyY9GkIIIYQxk6ETIYQQQhQYCTSEEEIIUWBkjoYQQgghRM6kR+P/kKKYR8dC/Feo5KOe0IcMnQghhBCiwBTzQKN4114IIYQQRk16NIQQQghjVsyHuyXQEEIIIYyZDJ0IIYQQQuRMejSEEEIIY1bMezQk0BBCCCGMmEJRvOdoFO8wSQghhBBGTXo0hBBCCGMmQydCCCGEKDASaAghhBCiwBTzfTSKd5gkhBBCCKMmPRpCCCGEMZOhEyGEEEIUGBk6EUIIIYTImfRoCCGEEMbMCIZOsrOz2bBhA7///jslS5akWrVqvPHGG3qVlUBDCCGEMGZFHGjExMTQv39/MjMzWbp0Ke7u7vkqX/RhkhBCCCGMUmxsLIGBgWRlZfHXX3/lO8gA6dEQQgghjFsRTgZ97bXXuHv3Lrt27cLE5MVCBgk0hBBCCGNmwKGT1NRUUlNTtdLMzc0xNzfXybthwwa2bNnCtGnTcHZ2fuF7ytCJEEIIYcyUSoMdwcHB2Nvbax3BwcE53nbhwoUAlCxZkqFDh9KwYUNatWrF2rVr81f9l/4BCCGEEKJYmDhxInFxcVrHxIkTdfJlZ2ezY8cOXFxcKFOmDN999x07d+7EwcGBbt26sWTJEr3vKYGGEEIIYcyUCoMd5ubm2NnZaR05DZvcv3+flJQU6tatS6tWrQCwsrJi/vz5mJmZ8cEHH+hdfZmjYUA+zp6MbtkHHydPghaM0atMRXdvvurxLlZmFqiUKqb/9RP/XDqilcfe0obprwymrldF0jMzMFWZMHvHb6w5tasgmvFcPk6evN+iNz5Onrzy/Vi9y3Wo0ojRLfqw7Mhmlh39W+d8ndIV+azzUOp5VSItI50N5/Yxft18HiYnGLL6evFx8uS9gF54O3nQ+cfxeeZ3t3Pis6B3aO1XH1tzK/ZdP8MHG+Zz4V6YVr46pf2YETSUuqUrkpaZzsbz+5mwYUGht9HbwYORjXvi7eBO9+WT8l3+yw7D6VipMZVnv6Zz7vXa7Xi7fifSMzO4HR/NuE3ziEqMNUS186WMnRtDanXBy86Vfhs/yTP/nJYj6FulTY7nPtq7iB9ObwDAzdqRyY1ex9veg4zsTLKzs5l15DcO3j5v0Po/jwIFbbxa0KZMS1wsXYhOvs+msL/ZFbFXr/Kf+E+hfIlymsdRSdGM2jNO87isnTd9/HpSzt6HjOwMjkeeYsXllSRmJBm8Lc/j3LQ+FSePRGFigpmDPXfWbeXyjHlkZ2Y+t5yNX1mqfTEJlaUFCpWKK8Hzidq+XyefY4NaVJ72vnpIISuL85O+4OHJwnse86UIlrc+mfhpZ2enle7q6oq/vz979uwhKioKV1fXvK9VIDX8PxRYoTZB1ZowIrAnu6+e1KuMr0tp9o7+jpGrZrPy+HYquHlxdMJieiycxPbLRzX5Vg8OJizmLs3mDCUzK5PKHj4cGf8T2dnZrD29u4BapCuwfG06Vm3M8GY92B2iXxtNlCoG+AfRp25bmvnWZHkOQUZ5l9LM7Tma2TtWMPlhFN1rNmd0iz7UKu2H/6yBZGQ9/43FkAJ8a9GxcmOGNe3OntBTeeY3NzFjeb+PWX1mF/P3/Umd0hWZEfQOu0ctoOGcgVy7fxtQt/Hrbu8ze+ev3I6LpluNQN4P7E2tUhVo9NXgQmtjM5+atPdryDsNu7A37HS+y7f38+edhl0Jj4vSOTeiUQ9GNe6J//xBxCTFMyGwH38NmE3A98NISk8xQO3107hUNVp71+PtGh05EHEuz/yWJmZ0Kt+E2JQEYpLjyM5WpysU4OtQii1h6t9FC5UZq7pMZ0PIfkZu+xqApqWq82vnj+m2+kNORl4tqCZp6VwuCFdLZ344txgLE3N6+HZlSLUBWJtasSlsy3PLVnasiIulM7cf3dWkbbu1Q/P/HlZuvFm5HxvD/uZBygMauNcjyKcdPnZlmHzoEzKzC+d16ty0Pg1Xf8+Bjm8Se+ws5q5ONN22AiuvkpwYmHvwb12uDE3/WcHZMZ9w+8/N2JT3IWDvHxztO4ronQc1+Rwb1sZ//SIOdR7Ig8MncWpcl8Z//cy+Vq8Rf6Fwnkdj5+DgQMmSJbl165bOOXd3d0xMTChRooRe15JAw0B2Xz3J7qsneb1Be73LfNNrNOGxUaw8vh2Aq5G3+OPkThb1m4jvRz3IyMrE16U0LSvWo+onr5H5+I/RxbthbL98jH712xVqoLE75CS7Q07Sv147vctkZGWy8MB6Ih5G08y3Zo55XqvXhle+H0NskvqT/bGblzBVmfBe8950r9mclSe3G6L6etkTeoo9oafoV6+tXvm7Vg9gyl8/cPjmBQBOhF/hbnwMa97+nNHN+zD8j1kA9KnTmk4/jnvaxlvqNr4b0ItuNQJZdWpHrvcwpL1hp9kbdpo+tXL+9P487rZODKrfiSPhF/G0056B7lXCjamt32bK1oXEJMUDMHf/Kt5v2psJgf34eNsig9RfHwciznEg4hw9KzXXK3+Hcv5M3/8zy85r/5Fu6FmFqU0HcDPuHgD1PStT0cmL9qvWafLsizjLtdjbdK7QpFACDROlCTYmViw8/3R8/EpsKHOafkY33878fWPbc4OBV3za8/HhGUQm6QaKAI09/Zl54isS0xMBuBYXholCRQefttR3r8uhu0dyLGdo1WZNJnLrXmKPnQUgNSqGix9/Rf1fvyH89w059lAAVJ89meTbd7n952YAHoWEcXvtFmot+JRtVduQnZEBSiU1vplK9M4DPDis/sAUc+A4sSfOUXPedPY2710obcwXRdHMcnjzzTeZOXMmERERlCpVSpN+/fp12rVrh5mZmV7XkTkaBpaUpt8nNx9nT9pX8WfHlWNa6XtDTlHGyYNXqjcFwOxx91WNkuW18pmZmHL98aflwpaUnpp3pmfLPOfn8uepXZo/wE+sPKEOLso4eeT7XoaQlKZfG8/dCdUEGU9sPL+fxNRkyjg8rfvq07ptXHVSHVyUcSz8Nibn8zlUKBTM7fQeY/76lvSsDJ3zr9dpj6WpObuvP+0FSslI4+TtK7xVryOqIuj61beNx+9e1gkyALpWaMa6q/s0j81U6t/FKs4+WvlMVSbcjIt8iZrqz9LEko1h2r2CqZmpnIw+g5WJJTamNrmW9bErg6uVCy6WTqgUqhzzHL53TBNkPHHwcXDhYvniyxvzw7K0J/bV/EgKv6OVHvnPXrIyMij9Wpccy1l5l8KtTTOidx3WSo/Zfwwrr5K4d1QHns5N62Nf1Y/o3Ye08x04jmODWtjXrGy4xhiKQmm4Ix8++OADKleuzPDhw0lPTwfgt99+IyQkhFmzZul9HQk0DCxbz3xtKzcE4GpkuFb65Xs3AQgoXwtQ914cDjvP3Fffx8+tDAB+bmVwsSlB8Nalhql0PmVn69tK/cpcuHtdJ+1JYHI9OiLf9zKEbD2fyWfnYTyRkpHG9Zjbz833ZDihKALG/D6HY5u9xprzuwl7cCfH861865GVlcW1GO22XIm+hZOVPVXdyr5wXV+Uvs/hzXjdIEGlUNLR158NIU8/Oe8NP82t+Ei+bf0erlYOgHqYJjrxIb9c2GqYSuchIS2BuLR4nfTUzDSS0pOIz+HcE53LBlHSxpPJ9SfwfYu5vOLTHgXaG0FFPNJ9LaZmpgHk2gtiaOYujgBYuLlopWcmJZMW8xC7KhVyLOfaWv3h7FGo9u9awlX1+4tzk/rqfK2aqPOF3NDOd+VJvnovUfv/FhsbG3bs2IGjoyP169encePG/Pbbbxw4cAA/Pz+9r/OfCDTMzMy4ePFiUVcjX7wff4q9Fx+jlR6X8kh9/l+f5Lv98AFRCbEcGv8j/eq3o3ut5gR+NYwHibm/qRR3jcpWIzohls0XD+Wd2chUcCmNk7U9vxx7/ni5v3c1oh/F8vcl425jg9JV8HZwZ+WZ3Id3yji4EZuSQFpmulZ6fIr607FXifxvW1yUmnnV5PrDO9x5dF+TlpaZQd8N07E0MWNLr1l0q9CMqs4+9Fr/MWmZur08halCCV8O3D383OBqe/hOvj39PVtv7sBEqaJvxV6Mrj1SJ9jQubaDL/Fp8ZyOPmPoaufoUUgYWRkZODWpi8LUVOucibUlSvOcu+utvEoCkBp5Xys9I079nmpVpqTWvzr54hMeny+F0THgPhr55ezszJIlSzh16hQHDhxgw4YNVK6cv16fYjFHY+/e58+mzsrK4vjx49y///SF06xZM72undMuaWRmgapgYzBHa/VM3meHFDIez6i2NH263Ohu3H16LJzI+Db9+brn+4TF3GH5kb/1HqYpbhQKBe807cbHf/1YLNs4vGkPVp7cztFbuQe/CoWCdxp3Zerfi4y6jfYW1kxu+Qa9f/3oufkcLO2IfPRAJ/3JJFdLU/3Gco3Fs8MmT1x9EM7IbV/TpUJTZrccyeE7F1h5aScPUx8VQS3Vytp5U8rGk1kn5z433/mYSwAcuHuYNaEbGFtnFPXcatPGqwVbb+UcRD5Z4bLq6lpNz0ZBy0hIJHTuEiqMGUSV6aM5P+kLFCoVXv26YGJjTcrtezmWM3O0V5dPStZKz8pQB4EqC/V7qplDHvksdZd6FrkimqNhKMUi0GjdujUZGc//xPDWW28B6i5hhUJBZh5LoJ4IDg5m2rRp2ol1SkK9go1qU9LVv7T/DigALB6/IT9IetpbUdWzHGNavcZbyz7B16U0/4yay5EJPxEwZyghUdpDL/8FQ5t2I/xBJAsPri/qquRbDU9f2lRsQNO57zw339DGXbn1MJIfD20opJq9mK9eeZcpW38kMY9gKCUjDQsT3TdoCxP16zm2CJYpvyhzlSltfOrxyYGfdc41KVWdQK9ajN4xj1/O/8MvnT5iY8+ZdFk9kZjkwu9hVKDgzcr9WHh+CfFp+v+M49LiCD42m68DPqeRZ8NcA402Xi24n/KAHeG7DVNhPV2cMovk23cp1aMjTf5eysNTT+dB3d93NMcyWSnqD4wqSwut9CcBRlpsnDpfah75HsQZoAXi34pFoLFv3z769u1L27ZtqVdPe/wsOzubgQMHMn36dEqWLJnva0+cOJHRo0drpdmPbfVS9dXHtfvquQdONvZa6U7W6se3HqjHjc1NzPhr+GyG/DoTgNDocAK/GsaR8T/xY9+JBH41rMDrWphqlarAWw2DaPHN8BeaC1KU7CysWdRnEr1/nsz9xIe55qtVqgJvNuhIy3kjjbqNpexd6VWjFd2raq/eMFGpJxLGTdvGitNbGbZ2FmEP7lDFzUfnGo5W6p678IeFM75vCC2963I++jrRSQ+10l2sSvBz0CTar1TvH3My8iq9133M+h7BfNxkAKMeL3ktTH38enIh5hKH7x3LO/MzkjKS2B2xjzqutXI8721XhsBSTZl+9HO957sYUtj3Kwj7foXmcbPdK8lMTePW8jU55k+8rv7QZeZYQiv9yePk8Lv65Yu4i9GRHo2CV79+fU6ePMnIkSOJjo5m7FjtjaIGDRpEly5d8j1uBLl8mUwBD5sA7LxyAgA/Ny+tdF8XdU/KtkvqqL11pfp4ObprTRi89eAe0zb/xHd9xmNvaUNcctF12xqSl4M7C3qPp9uPH5CQUribA70sM5Upv7/5CR/+9QNn7oTmms/LwY35PcbS/adJJKQadxvvJcRQ75sBOunfdxuPh50znX8eT+zj196e66eo7uGLr1MpQmOeTuAt61SS23HRXI6+WWj1flldKjRl/VXd5ZOdfBtja2bFzfinXfdno6/x05m/6F9Vv+XQhtSydAD2ZnZ8d+7Flw7HJD8gPEF3AqizhRMDq7zBrJPfkJxR9EN7pft2wbF+TS5MnkVyLkMn0XvUq01sKmgHvNbl1JPoo3Ye0OQrN+INbCr4ELP/mG6+HQcMXv+XVswDjWJTe1tbW37++WecnZ3p0aMH0dHRRV2lHCkeH89SKpRYmT3tqjt3O5T9oWdoU6mBVr7ACrW5GnmL3VfVgcijx3+MyruU1sp352E0qelppGVoT74rDAqFIscJZM+28dkyQK4TzzztnfntrekM+OVTwmOfrgKwMDXD1sLKALXOn5xbmHMbTZQqVrw+jZ+P/MU/l7X3GXCzddT8v6e9M7++Pp23f/uM8IfPtNG8cNv43OfQVN2+jKxMLkbd0DkS01NIz8zgYtQN7iao50X9dGwTmVmZtPStq7mWtZkFtTzLs+T4X4XTqGcoUGhed/+mVCixymGYB8DK1ILmXrXYdO2gzrnEx6uEytp7aqVHJj4gqZD/GDf2aEgN5+r8cH6xVrq9mbpHVIECc1Xe82LK2vuw/vomrTQH8xK8W2sY351bREzK03k3pkpTLE1y/v0uSCXqVqPGVx9xe+0WQub8+PSEUonKylLzMP78FWIOnsC1ZROt8s5N6/MoJIz7e9Uf3iK37iXxRgSuLRvr5Ivec4TEa0YYFBfhZFCDVL9I7voS3nzzTWbMmMHrr7/Otm3biro6WkxVJpSwssXF1kHn3Lp3viBy5mZKO7hp0ob9/iWVPXxo4ad+c67t5Uen6k0Z+tsXmkl0e0NOczjsPNNeGaSZQGpjbsV7LXrz7e4/8r0fwssyVZlQwtIGF5sSOufWDvqcu59t0mrjE66PfyY5/WxKlXDl72FfM2/PH2RlZ+PnVoaKbmUI8K3F8tc/JiurcLttn7TROYc2rn47mNvTN1C6hLqNT3oyQu+Hc+Z2CH6uXvi5elGntB9zur5LBVd1j1WpEq78NWQO8/b9SVZ2Fn6uXlR0LUOzcrVY2vcjsgpxCMVUZYK9hTXO1vY651b2/YSwD1ZTyj7vbYX/LeR+OLP2/sagBp2wfhyITWz+OtdibvP1/pUGqXd+mCpNsDe3xsnSTufc0qBJnB+4jJI2uvtCtC/bgGN3LxObojvfYUPoAW7G3WNKkzexfDz3xNnSnv7V2vLt8dWGb0QuGnv680rZDvwZug53Kzc8rT0obVOKxp7+BPmoN9MbW+ddfmjxDU4W6kC3jK0Xw6oPwtuujOY6ASWbcCU2hLD4p39YnSwcmVRvLFtubCM7OxtPaw88rT2o7FiRETWGFOrrVGluhvfbvWi8cQnXv1/BsX7vaZ1vuGo+7W8cwLLU0xV6Z96bhm3FcjgHqrcPsK9VBY+OLTj97lT1Zl1AdkYGZ0Z9jFvbAGwrqrdid2sfiF3l8pwdk/d29SL/isXQybP8/PxYv349EyZMYPv27Tl+ailsg5t0YULb/thb2mBvacOFj35j9J9z2XpR3Z0XlfCAh8mPSP1XD8S526G0/HoEX3YbyUcdBpCZnUXQgrEcuPZ0GVlWdhYd5o1mZtfhHBn/E7cfqntyVhzbyqIDhTuRcHDjzoxr1U/TxnOTVjB27TdsffzdLFGPYnmY9IjUDO3Z6esGzyTAtzYAUzu8TefqzWgyZzCg/p6QPe99h7eTB7+8+cykXOD7fWtITEvWSS8og/w7M7ZlX00bz0xYzrj18zQ9FdEJsY+fR3Ub1w2aSWs/9fr8sS36al3rUuQNRq+di7udE7tGzsfb0YPl/T/WuecPB9YWWhsH1AtidNPe2FvYYG9hw/FRi5n493dsC1F3IUcnxhKX8uiFesqmb19MYloy/wycS0pGGpeibtBh8ZhCD4b7V23LyDrdsTO3xs7cmr395vHxvsXsuqneBfJ+UhxxaYk5LknNbbUJqPc96bp6Eh83eYtdr33LnUfRZGfDzEMr+Ota4SxRbuLpz7Dqg1AqlHzRRPeP4uSD0wGIT40nMSOJjMebq6VkplDSxpPpDT/kcuxVbsWHs/fOQW4lPJ1MXsLcnqkNJuFi5czImrqTmbfd2klqZuE8l812/Y7K0pL4iyHsb/86cad1V3ClRj8gPS6BrLSn7zfx569woMObVP1sPNkTh5OdmcWh7u/w4NAJrbJR2/dzrP971F74OZnJKWQkJbOvTT8SLoYUeNteSDEfOlFkG/NsND389ddfzJkzh8WLF1OmTJm8C+hBMbShQa5jrJQmxftFq4//hzaaWRevJaMvwsY1950u/wual3fMO1Mx17u7ce8TYwhdkq4U6PWz7y/OO5OeFM66864KWrHs0fi3jh070rFjx6KuhhBCCCFyUOwDDSGEEOI/rZgPnUigIYQQQhizYh5oFO/aCyGEEMKoSY+GEEIIYcyKaP8LQ5FAQwghhDBiCoWqqKvwUop3mCSEEEIIoyY9GkIIIYQxK+aTQSXQEEIIIYxZMQ80CrT2q1ev5quvviIrKwuAX3/9lfj4+IK8pRBCCPHfolAa7igCBXrXmJgYXn31VX7//XcAevXqxcqVhf8FS0IIIYQoGgU6dJKdnU3JkiXJePyteSqVCguLwv+aYSGEEKLYkuWtuYuJiWHJkiVawUVCgu7XLwshhBAiFzJHI3cTJkxg9+7dDB48mICAANq0aUNycuF95bcQQgghilaB9mioVCqWLl3KxIkTOXPmDOXLl6d27doFeUshhBDiv6WY92gUaKBx8uRJateuTcWKFfHw8CA7O7sgbyeEEEL89xTzQMPgtT9x4gSrVq3i/v37bNmyRZNubW3NqlWr2LNnj6FvKYQQQggjZfBAw8bGhi1btlC3bl0WLVrEe++9x/r163n06BGDBw8mLCzM0LcUQggh/ruUSsMdRVF9Q1/Qz8+PxYsXc+PGDdq1a0e1atVYvXo1tWrVomrVqmzdutXQtxRCCCH+u4r5hl0FOkcjKCiIDh068PbbbwMQHR2Nk5NTQd5SCCGEEEakQMObdu3aaf4/Pj6e1atXc+bMmYK8pRBCCPHfIj0auWvevDlRUVG0aNGCli1b0r17d3799Vdq1apVkLcVQggh/jtk1UnuevXqxbJly6hTpw7r1q2jevXqhISEFOQthRBCiP8W6dHInbm5OfXq1aNevXoMGDCAqKgomQwqhBBC/B8p0EAjNDSUJUuW8MYbb6BUKnF1dcXMzKwgb2kQCqWiqKsgXpJC8d9/Dv8fXqf/9Taq/g9ep1myT+NLyzbgy+RFL/X9998zdOhQrbSdO3fSvHnzPMsWaKAxffp0Bg4cyPjx4wkICMDNzY309HR69epVkLcVQggh/jOys7MMdq0XiW0zMzP59ttv8fPz06R5enrqFWRAAQca8+bNo2PHjgwdOpRDhw7h4OBA7969C/KWQgghhDCglStX0rNnT6ZOnfpC5Qs00AgPD2fbtm1cvHgRCwsLAgICMDMzIzAwEE9Pz4K8tRBCCPGfkGXAHo0XGY2cOXMmQ4cO5d69e7i7u+f/nvm/pf7q1KnD5s2buXHjBn///Tdly5Zl9uzZNGnShICAAKKiogry9kIIIUSxl02WwY7U1FTi4+O1jtTU1Fzv/ddff3H27FmGDh1KqVKl6NGjB+Hh4fmqf4EGGqdPnyYtLQ0AHx8fJkyYwJgxY7h+/TqfffYZn3zySUHeXgghhBD/EhwcjL29vdYRHByca/7y5cuzbt06Pv30UypVqsTq1aupU6cOly5d0vueBRpo9OzZE39/f7799lsuXLhAdHS0Zh+Nxo0bU7du3YK8vRBCCFHsZWVnGeyYOHEicXFxWsfEiRNzvXeFChXo3LkzH374IadPn2b69OlER0fTv39/vetfoIFG/fr1WbZsGTt27KBBgwY0atRIE1ysXr2au3fvFuTthRBCiGLPkEMn5ubm2NnZaR3m5uZ61UOlUjFlyhQGDhzIiRMn9N6As0AngwJUqVKFdevW6aRHRkZqhlWEEEIIUTyMHj2aRYsW8eDBA73yG6RH44svvqBGjRp8//33mrT4+HjmzJnDnTt3ciwzbNgwPvroI0PcXgghhPjPMuTQiSGULl0aU1NTKlSooFd+gwQaUVFRlClTRqvnws7Ojk6dOvHTTz+xfPlyQ9xGCCGE+L+TnZ1lsMMQDhw4wMiRI3FwcNArv0ECjezsbP7880+2bNmile7r68uUKVM4duyYIW4jhBBC/N/JMuB/+bpvVhZDhw7lhx9+IDMzE4BLly6xbt26565UeZZBAo2JEycyc+ZMTUWuXLlC+fLl8fDwoFGjRoSGhhriNkIIIYQoJEqlkszMTCZMmEClSpUYPHgwx44dY8GCBfn63jJFdna23l95s3PnTvbt20fjxo1p0KABtra2mnMPHz5k3rx5jB07lv79++Pp6Ymvry/m5ub07t0bOzu7/LWwCCmH+xd1FQrUf/2LqgBUpqqirkKBM7Mx/i8ofFk2rjZFXYUC1dLXsairUOC6dz1Y1FUocN2SrxTo9ePTVhvsWnZm3Q12LX3la9XJvXv3mDZtGqCOdCpXrkyjRo1o1KgR/v7+vPvuu0ydOhWVSsXcuXMLpMJCCCHE/xNDbkFeFPI1dOLi4sLw4cOJiIhgxYoVBAQEcOjQId566y0qVqxIuXLl2Lx5M6mpqZw/f76g6iyEEEKIYiJfPRp169bFwcEBT09PevXqpfm694cPH7J//3727dvHvn372Lx5Mxs2bMDR0ZGAgAB69+5Njx49CqQBQgghxH9Zdj4ncRqbfM3R0FdKSgoHDx7UBB8JCQkcPnzY0LcpMDJHo/iTORr/DTJHo/iTORovLyblN4Ndy8mij8Gupa8C2RnUwsKCFi1a0KJFi4K4vBBCCCGKiQLfglwIIYQQLy6bzKKuwkuRQEMIIYQwYv9Xq06EEEIIIfJDejSEEEIII2ao7ygpKhJoCCGEEEYsv99RYmwk0DAgHydPRrfsg7eTB698N1bvch2qNGJMq9dYengzy45szjFPUNUmfND2dTKyMkhMTWHUH3O4Fh1hqKrrzcfJk/db9MbHyZNXvs9fG0e36MOyI5tZdvTvHPM4WtkRNn0NNuZWmrRlRzbz1i+fvnS988PH0YN3A3vh7ehJl0Xj88zvbuvEjKAhtParj625Ffuun2HixgVcuBeWaxkTpYq9o77j4r0bDPz9M0NWP0/eDh6MbNSDMg7u9Pjlw3yX/6L9cDpWbESVr/pqpTcoXZlP2gymursvkY8esPTkZr7av5ICWEGfJy87N96p2RkvOzf6bfokz/zmKlNG1elBoFct0jLTMVeZ8fulHSy7sEUnb2vveoyq04OMrEySM1KYtHchN+LuFUQzcqRAQSuvFrT2aoGLpQv3k+/z140t7I7Yq1f5aQ0n41uinOZxVFI07+/Vfp3bmFozN2AWFiYWmrS9tw/ww7lFhmmEHpyb1qfSlJEoTUwwdbDnztqtXJoxj+zM50+MtPUrS/UvJqGyskChUnHps/lEbd+vlce6XBmqBY/HqVEdFCoVUTsOcO6Dz0mOKLznMT+kR0MAEFi+NkHVGjM8oAe7r57Uq4yJUsWARq/wWr02NPOtlWuQ0b1Wcxb1nUTdmW9xLTqCfvXbsee9BdSd+Rb34mMM2YznCixfm45VGzO8WQ92h+Sjjf5B9Knblma+NVmeS5ABMDKwJ1EJsUQ8jNakfb9/7UvXOz8CfGvRoXIjhjXpzp7QU3nmNzcxY1n/j1h9ehfz962mTumKzAgawq6R8/H/ahDX7t/OsdwnHYdQ16sSF+/dMHALnq+ZT03aVWjIkAZd2Bd2Ot/l2/v5806DLoTHRWmlV3Ury4C6r/DxtkWYqkyY0vItprceREpGGgsOrTFQ7fXTuGQ1WnvXZUD1jhy8fU6vMjMDh+JiaU+PdZNJzkjDzdqRLT1nYWFixsIzGzT5gso1Yk6LEbRZNZobcffo4RfIum7BtFk5mqik2IJqkpZOZTviYunCj+eXYKEyp3v5Lgyq+hZWJlZsvqEbGP1bZceKOFs6c+fRXU3a9vCdOvnalmlNfFo8D1KetmnHLd18BcW5aX0arfmefR3eJPbYWcxdnWi2fQVWZUpy/O3cg3/rcmVotm0FZ8Z8QsQfm7Ep70PzfX9w5LVRRO1U7+dh5uxA3Z9mcv2H37j8+Xe4tvCn0ocjcaxfgx0NupAeG1dYzfy/IYGGgewOOcnukJP0r99e7zIZWZks3L+OiNgomvnWyjGPrYUV814dy+KDGzU9GL8c3cKU9gOY3X0UfZd8bJD660PTxnrt9C6TkZXJwgPriXgYTTPfmrnmszazpF1lfyp+0pvMrKJbyrUn9BR7Qk/Rr65+bexavRlT/lrIkZsXADgZcYV78TGsfjuY9wN7M+LP2Tpl2lSsj4myaDYU2xt2mr1hp3mtZut8l3W3dWJgvVc4EnERT1tnrXOl7F0Zsnam5nHvX6dwbdyfNC9bp9ADjQO3z3Hg9jl6VmyuV35LEzO6VwhgwN/BJGekARCZ+ICNoQfo4ReoCTRsTC0JDhjCr5e2a3ow/ryym9H1ejGtyQCG/qP7XBuaicIEa1NrFl1Yokm7+jCUL5t8RjffTmy9uY3M7Nx/fzr6tGf6kc+ITIrKNY+5ypwaztUYs29ika12qDF7Mve27iX22FkAUqNiuPDxVzT89Rtu/bZBp4fi3+WSI+4S8Yf6Q9ujkDBur9lC7e8+ZWuVNmRnZOD1WmeOvTGWpJvq99OHJ8+TmZxKjVkf4vP2q1yd9WPhNDIfZNWJ0JKUnpL/Mmm5l+lRqwVudo7suHJcK33/tTP0qNUCFxuHfN/vZSWlp+a/zHPaCDC4SRciYiOpUdL3RatlUHnV94lzd65pgownNl7YT2JqMmUcPXTyu9k6MrLZq3y46XuD1PNF5fc5VCgUfB30LmP/+paMzAyd81uuau/8G5MUz4PkeI6EX9DJW1iS9WyjUqFCqVBQ2clHK91MZcKt+EjN41d8G+FiVYL94We08h25c5Ggco1wtrR/+UrnwdLEkk1h2r2CqZmpnIo+jaWJJTam1rmW9bYrg4ulM84WTqgUuQe6LUsHEpPyAC/b0gard35YenliX82PpPA7WumRW/eSlZGBV98uOZaz8i6Fe9tmRO3Wfi3e338MK6+SeHRUB55R2w9ogownIv74S30Nr1IGaoVhZZNlsKMoSKBhYC8yHJ1N7oXaVGoAwNWoW1rpl+/dwFRlQuNy1fN/w5f0ImPuzytjqjLhvcBedKvZnGPjl3Bx8m+8UrXJy1TxpT3vOfm33OZhpGSkcT2HYZNvu49mzNq5pGWmv1T9XlZ+n8OxTfuw5sIewmLv5p0ZqOJWlivRN5l7YNWLVM8g9H0OE9OT2Rh6kPfrvUoDj8oAOFnYUdvNj08OLtXkC/SqDcC1h9p/AENjIzBVmVDPo5KBap67hPQE4tPiddLTMtNISk8iPi0h17KdynakpI0nk+qPZ37zrwnyaY8C7a8jUClUtPduQ333usxoNJUvm35GbZeahm7Gc5k7q7dlt3Bz0UrPTEomLeYh9lUq5FjOrXVTQN2L8W8JV68D6uEYgPiLITplM5PUHywSw27pnBMvr1gFGtnZ2Zw/f54HDx7onNuzZw9jxozho48+IiKi8CdJFhRvJ/Wn4nvx2m2OS0lUn8/hU3NxY25ixpDfP2fwr8H8eWonvi6lWDfkC0a3KPw9+Q2hgktpnKzt+eX4Vq30Mc1fY9OFg1yNDi+imr2YBqUrU8bBg1Vnd+iVv26pivzaeyrrL+4jowiHwfJjzK75nI4KYWXnafSr0oY3q7Wnz4ap3Ix/OjmwtK0rAFFJD7XKxqclaZ0vCuUdfDl49/Bzg6sdt3Yx/8wPbLu5AxOlij5+r/JerRFawYap0pRF53/mx/NLOHLvGO5Wboyp8y4dvPUfLn1Zj0LCyMrIwLlJXRSmplrnTKwtUZrn/B0/VmVKApASeV8rPT3ukfq8V8lc7+nYsBaZKalE/JnzPLmilpWdZbCjKBSbQCM6Opp69epRvXp1SpcuzY8/Ph1HGzduHC1atGDlypVs2rSJOnXqcOPGDb2um5qaSnx8vNaRnWk842GOVnaAbld+xuOZ15Zm5oVeJ0N7lJrElouH+enQRnotnkzjOYOJSojl887DqOZZLu8LGJlhTbuz6tQOjt26qEmr61WJyu7eLDtmnG9kubG3sObDFm8y4e/5euXvUrkZ4wP64VXCjVkdRzI36L2CraCBJKYnM/DvmWwI3c+7dXrQw685rtbaw5IlLNRf8JacoT0k8ySYsjApmi+587HzpqS1J6tD1z0334UHlzh49zA/X/qFMXs/IPThNeq61aaV19PvpErJTOHM/XPsjtjLN6cX8PHhT4lLjaePX09K2xTOsEJGQiIhc5dgVdqTqp+MBoUChYkJ3m/2wMTGmuTbOa8MMXNQD11lJiVrpWdnqIf6VJa5v1eWG9qP0HlLSQ7Xr8eusMnQSSGZNGkSNWvW5NSpU+zatYvDhw+za9cuvvnmG2bPns348eO5desWJ0+eZOHChUyaNEmv6wYHB2Nvb691cCLnlQJFISVdPTnt2YDCwlT9pvYgUbcbtbg7dvMSPRZNRKVU8WrtVkVdnXyp4elLm4oNeG/N15o0W3MrprUfqJVWXMzpOIop//xIop5zVtZd3MurKyZT59u3uBp9iwH1gqjoUqaAa/ny3K0d+TzgHUbvnEf7P8YRn5bIhu6fU9e9oiZPaqb6d/HZgOLJ44cpjwqvwo8pUPBG5b4suvDzc4dNnhWXFs/M47OJT0ugkUeDXPNdjwvj61PzUCqUNPSob4gq6+XC5Fmcfn86DvVq0HTLUqp+OgbbiuoPHff3Hs2xTFaqOgBUWVpopSst1O+dabmsJnFvH4iFmwuXZswzVPXFM4rNqpOLFy9y4MABzeP69evz448/Mn78eCZPnsz06dM15zp37syCBQv0uu7EiRMZPXq0Vpr9+PzPyC8o1+5HUK1kOZys7UlMfRqpO1mro/dbsca57vtlHbh+liM3LuBoZVvUVdGbnYU1P/aeSJ+fp3A/8aEmvXO1prQsX5fIT//SKdOvblteq9OawSs/1xlqKWql7F3pVaMV3atqr94wUaknEj78+B9WnP6H4etn6ZS9/uAOE7Z8x9r+wVRx8+Fy9M1CqfOLWtJhIr9f2kFGVib3k+N4df1HbOw+k29bvUfTX4eTkZXJjbh7VHLyxtHCVmvSt4OF+jV6+1F0bpcvML0r9OBCzCWO3DuW77JJGcnsidhHbdeaz8139WEIoQ+vPXeiaUG4/v0Krn+/QvM4cM9KMlPTuPlLzquYHl1XD0maOZbQSn/yOKfeCsvSHlSZPpqDXQeTlZL/Se6FpbivOik2gYa5uW63144dO+jUqZNWkPFEVFTuy7eeve6z11aojKejZ9fVE3SpEYCfqxe3HjwNKsq5lCI1PY09IXnv9VBcRcRGcf7u9aKuhl7MVKb89sZ0Jm/+gTN3QrXObTx/gDqz3tQpc2r8MjZdOMDHf/+otXeIsbiXEEP9eW/rpH/XdRwets50WTaB2OTcP8Xvv6FenfHvoMsYVXQqQy23Csw88qsmLS41kan7F/Nrp4+p4FCaizE32B9xjvZlG1KuREkiEp4+Xz72HqRmpnPo9vlCrXfzUgHYmdu/1CZaMSkPiHiUdw/uAz3zFRSvvl1wrF+T85Nn5bqpVvTj1Sa2FbRXD9mUU/eoRe04oJVuWsKO+svmcPzt8Ua7UdcTxX3DLuP5i5qHzMxMLlxQL5XLyspi1KhR/PHHH/j4+HD4sPZypqVLl2L6zCSiwqJQqJcCPkupUGJlZpFDCTSTsZ6dAQ7wy9GtxCcnalafPNHMtya/Hv9H72WYhqRQKHKs63PbqMi9jTkxVZngaG3HL8eevwFRQVGg0Pt5NFGqWPH6VJYe2cw/l7W7dd1sHYlLecSFe2E6B8DDZPW5uELudlcontM+U3X7MrIyuRh1Q+dISkshPTODi1E3uJtwX+caT5Qp4U74w0gO3ircP8BPKHjO69Tk6YeLpDR1T2FZe+2J1fcS1ROwkzLUv2Orr+wmIS2JQK+aWvkaelZm7dW9JGUU3ifiRh4NqeFSjR/PL9ZKtzdTz+lSoMBclfeckbL2Pmy4rtvT9m8qhQobUxv23z744hV+CQ51q1Hz64+4vXYLV2f/a48LpRKVlaXmYfz5K9w/eALXltor1pyb1SchJIzofw25mNha03DlPC5MmUPc2ctPMysUmDkX/pYB/3XFJtCYNGkSTZs25dVXX6VatWrMmzePOXPmMHPmTH777Tf8/f3p27cv9evXZ8CAAUyePLnQ62iqMqGEpS0uNiV0zq0dMpN7n/9FaQc3nXOutg5a//5bbFI8Y9bMpX+DdrjZqZd9DWvWHaVCwYcbCn8vBnUbbXJu46DPufvZpue20SWHNvaq3Ypveo7GzVbdPnMTM6Z1HMTEDQtISEkybAP0oGmjdQmdc6sHfEbEtPWULqFeYWCmMuX3Nz4hNDqCM3dC8HP1ws/Vi9ql/JjdZRQVXL0KufZ5M1WZYG9hjbNVCZ1zv782nevj/6SUff5WUIxu2puhDbpqghR7C2umtR7I26uDSc9h342CZqo0wc7cGqcc9rb4ucNEzg1YSkkb9aZjtxKi2Bh6gGG1umpWjpgqTRhRpxubQg9qNud6mPqIj/cvpqdfc1we/+zeqtYBhULJZ4eWF07DUAcZQT7tWRO6HjcrVzys3SltU4pGHg3p4KNeHTK69igWNJ+Lk4X6d6qMbWneqTYQb7un82WalWzC1dir3Ih/OqzV0L0+b1TqpwlYTJUm9Cjfld+u/kFyZuF+qFGam+Hzdi+abFrCte9XcKTve1rn/VfNp+PNA1iWfhognn53GraVyuES2BCAErWq4NGxBadHTdVMCjW1t6Xx+kXc2biDlKgYbCqUxdavLI4NalJ38ZeYWBfuEJE+sgz4X1EoNkMnbdu2ZfXq1fz0009UqVKF2bNn066d+pdq7ty5zJ8/nyVLlmBjY8OGDRvo2LFjodZvcJMujG/dD3tLG+wtbTg/+VfGrPmGrRfVvS3RCbE8THpE6uOdB59YN+QLAsur1+dP7TiQztWb0Xj2YK08Px3cSGZWFpuGziYpLYW78TE0nfNOoW4/DjC4cWfGtXraxnOTVjB27TdsvXQEgKhHubRx8EwCfB+3scPbdK7ejCZznrYxOT2VDlUa0bduW3ZcOc75u9eZveNXYhILfyvggf6dGNuir6aNZ8YvZ9yGbzU9FVGPYnmY/IjUDPU+GGsHfk5rP/UkuTEtXtO61uXIG4xZ903hNiAPA+oG8X6TXthb2GBvYcPxEYv5YMt3bA9Vj/FHP3pIXMoj0jLyt89HeafSdKrchAmB/dh/4yzhcVFM3PId1x/cybuwgfWv0pYRtbthZ26Nnbk1e1+bx8f7f2LXLfUw4/3kOOLSEkn9114mI7Z9xYQGfVnZeRr3k+PIzMpk562TfH9qvda1f724jazsLH4JmkJyRipRibF0Xv1BoW0/3tjDn3eqD0SpUBLcWHfI+KND6u91iU+LJykjifQs9R/XlMxUStp48nGDSVyJDeFWQjj77xzkVoL2Uuv0rHRqulSnsac/F2IuEP7oNn+FbeFReuH2uAXs/h2VpSXxF0PY1+51Hp6+qJMnNfoB6XEJZKU+fb+JP3+F/R3epOpn46k4aTjZmVkc6v4OMQdPAOqJok23LKNEzco4+deGL7WveW/rXp3NvIxBcR86UWQXxTceGTnlcP+irkKBUij1G74ozlSmRbPFd2Eysyma5ZSFycbVpqirUKBa+joWdRUKXPeuRTPkUpi6JV8p0Otfjv0y70x6qugwzmDX0lexGToRQgghRPFTbIZOhBBCiP9HsrxVCCGEEAUmq5jPcJChEyGEEEIUGOnREEIIIYxYlp7fRGysJNAQQgghjJgMnQghhBBC5EICDSGEEMKIZWVnGex4GUePHsXMzIzdu3fnq5wMnQghhBBGzBiGTuLj43nttddIT8/frsEgPRpCCCGEyMPIkSNp06bNC5WVQEMIIYQwYlnZ2QY7XsSSJUuoUqUK9evXf6HyEmgIIYQQRqwo52hcuXKFjRs3Mm7ci39HiszREEIIIYyYIedopKamkpqaqpVmbm6Oubl5jnnfffddli5dikLx4l/GKT0aQgghxP+J4OBg7O3ttY7g4OAc806YMIH33nsPNze3l7qn9GgIIYQQRsyQO4NOnDiJ0aNHa6Xl1JuxadMmzMzMaNeu3UvfUwINIYQQwogZ8ttbcxsmedacOXPYu3cvc+bM0aRlPx7CadmyJQqFgoyMDL3uKYGGEEIIIbT89NNPJCYmaqWtX7+eyZMns2jRIurVq6f3tSTQEEIIIYxYUWzY5ePjo5N2/PhxzbmqVavqfS0JNIQQQggjZgw7g74MWXUihBBCiAIjgYYQQghhxIp6Z9An3nzzTbKzswkMDMxXORk6EUIIIYyYIVedFAXp0RBCCCFEgZEeDSGEEMKIFffJoBJo5EChfPE93YsDpcl/vyPr/6KNqv9+G//rv4uq/3j7APTc00k8hwQaQgghhCgwWcgcDSGEEEKIHEmPhhBCCGHEZOhECCGEEAWmuAcaMnQihBBCiAIjPRpCCCGEESvuPRoSaAghhBBGTHYGFUIIIYTIhfRoCCGEEEZMhk6EEEIIUWCKe6AhQydCCCGEKDDSoyGEEEIYseLeoyGBhhBCCGHEMot3nCGBhhBCCGHMinuPhszREEIIIUSBkR4NIYQQwojJ0IkQQgghCkxWMQ80ZOhECCGEEAVGejSEEEIII5ZZzCeDSqAhhBBCGDEZOhFCCCGEyIX0aAghhBBGTFadCA0fJ0/eb9EbHydPXvl+rN7lOlRpxOgWfVh2ZDPLjv6dYx5HKzvCpq/BxtxKk7bsyGbe+uXTl653fvg4efJeQC+8nTzo/ON4vcu1r+zP6MA+LDu2meXHtuicd7K2JzhoKFU9ymJhasbN2EjGrJ3L9Zg7hqy+XnwcPRjV9FW8HT3ouuSDPPO72zryafshtPKrh625Ffuvn2XiX99xMTJMK5+TlT0zOgyhiru6jbdiIxm34VuuPyjcNnqXcGeEfw/KlHCn52+T811+ZrthdPDzp9rc/po0SxNzro5Zib2FtU7+rOwsyn7ZgwfJCS9V7/zwsnNjSI1OeNm50f+vvH9HzFWmjKzdncDStUjLTMfcxIyVl3ew7MJWnbwO5rYce30h1qaWmrRVl3fy7s5vDNqG3ChQ0LJ0c1qVboGzpQv3U+7z940t7Lm9T6/yH9X/EN8S5TSPo5OjGbNvguaxjakNvcr3pJRtSUyVpsSkxLDi8m9EJUcbvC3P49KsPlU+HonSxAQzB3si1mzlwifzyM7MfG4524plqTlrEiZWFihUKi58Op/Ibfu18gRsWYJby0Y5lj/QYzi31283WDsMobgPnUigYSCB5WvTsWpjhjfrwe6Qk3qVMVGqGOAfRJ+6bWnmW5PluQQZACMDexKVEEvEw6e/7N/vX/vS9c6PAN9adKzcmGFNu7Mn9JReZUyUKt5qEESfOq1pWq4my4/pttFMZcr2Yd+wM+QEjb4eDMDsLqPY++731Jv1FnfjYwzajucJKFeL9pX8Gdq4G3uv5d1GcxMzlr72EavP7mbBwTXULuXHp+0Hs3PYtzT6ZgjXY24D6jZuHfI1u0JP0HTeOwB8+coIdg2fT8O5AwutjU29a9CuQkMG1+/Mvhtn8l2+XYWGDKnfmfC4KK30zpWbYm9hTXhcFMnpKZp0ewsbQmMiCjXIaORZldbe9RhQrSMHb5/Xq8znzd7BxaoEPTdMITkjDTcrB/7uMQsLlRkLz27Uyvt29Y7cT4rjbtbT52zpBd3guaAE+XTExdKZRReWYGFiQbdynXm7yltYmVjx903dwOjfKjlUxNnSmTuJdzVpO8J3af7fRGHCxLrjufjgEtOOqAO0vn59mFJ/ElMOT+Nh6sMCadOzXJrVp8n679nT9k0eHD2LuasTLXatwMq7JEffzP0Djo1vGZrvXMGp9z4hfNVmbCv40PLgHxzqNYrIHQcBsCrtgWvzhqRExZD2IE5TVmlmioW7M5HbDxZ4+/7fSKBhILtDTrI75CT967XTu0xGViYLD6wn4mE0zXxr5prP2sySdpX9qfhJbzKznh/NF6Q9oafYE3qKfvXa6l0mIyuTHw+tJyIuiqblauaYZ3jTHlR296HJ3Hc0aZM2fc9rddrwReeR9F8+9SVrrr89106x59op+tbWr41dqjbjo79/5MitCwCcjLjCvfgY/nzzM94P6MXINXMAGNa4G5XdvAmYP0xTdvLfC+lTuzUzg4bz+q/TDd+YHOy7cYZ9N87Qp3qrfJd1t3FiYN1XOBp+CQ87J61z/l5Vqb9gIJejb2qlz+80htN3Q16qzvl18M55Dt45T0+/QL3yW5qY0b1CAAO2fE5yRhoAkUmxbLp2kB5+gVqBhpWJBS28atP412FkZmcVRPWfy0RhgrWpFYsv/qxJC3kYyueNZ9ClXCf+ubWdzOzc3yM6eLfj06PBRCVH5Xi+tVdLStp4Mv3oDE3aqpA/aOTRkD4VevHduR8M1pbnqfX1ZO79vZcHR88CkBoVw7kpX9Fo5TfcXLFBp4dCU+6rySRH3CV81WYAEq6GEbF6C3V/+JTNFduQnZFB6Z4dONBzBHc27NAqW6ZfZzw7tiAjMalgG/cCivuqk2I1GXTPnj05pl+5coU+ffpQtWpVmjdvztdff016enoh104tKT01/2XSUp57fnCTLkTERlKjpO+LVsugktIM28YOlf15kBRPYlqyJi01I43tV4/TrXoAVmYWL1TPl/HvT+XPc+7uNU2Q8cSmiwdITEumjIO7Jq19JX8eJOu2cWfICbpUbYaVaeG2Mb+vUwUKvuo4inF/zyM9K0Pn/Ff7f9cJMkyVJnTw82fthb0vVdcXlZyhXxuVCiVKhYIqzt5a6aYqE27GR2ql9a/SljuPYqji7GOoauaLpYklm29o956kZqZyOvoMliaW2JjqDl094W1bBhdLZ5wtnVApVDnmqeFSncT0RFIzn/7s0rMyOB9zkXpudTBTmRmmIc9h5eVJiWp+JIVrDyne3bKXrIwMvPt3ybGctU8pPNo1I3LnYa306H3HsC5TEs+g5gBErN2qE2QAePUK4taqvwzTCAPLyjLcURSKVaCxa9cunbQLFy5Qu3ZtVq5cydWrV7l8+TJjx46lYcOGxMXF5XCVgpX9ApHn88qYqkx4L7AX3Wo259j4JVyc/BuvVG3yMlV8adm8SBtzP+dsUwIHK1tMVdodbOGxkZiZmOLn6pXv+70sfZ/HZ+dhPJGSnqY1v8TZ2h4HS9023nrcxgqupV+8si8gv8/hmKZ9WHtxD2Gxd3M8f+PhPZ201uXrcfbeNe4nPXyRKr40fX8VE9NT2HjtIO/VeZUGHpUBcLKwo45bBT49tEyTz1RpwuAar9CxnD9be85mX5/5tPGuVxBVz1VCegLxafE66WmZaSSlJxGflvsQVZBPBzxtPPmg7ji+DfiKDt7tUKDQymNnZou1qbVOIBKTEoOJ0gQPK3cKmrmLIwAW7i5a6ZlJyaTFPMS+aoUcy7m3aQrAoxDt38mEK9cB9XAMQGJYhE5ZMycHHOtX597fOX+YLWqZ2YY7ikKxCjSuXLmi01Px8ccf4+Xlxbp160hOTubu3bs8fPiQBg0aMGnSpCKqqeGYm5gx5PfPGfxrMH+e2omvSynWDfmC0S36FHXVDOZS5A1UShUtytfVSrd+3JNhrjItimq9sPIupXGytmfFiafj5Zcib6JSqmjuW0cr79M2FvwnxRdVv1RlypRwZ9W5nfkq17Nqc1af310wlTKwsbvncyYqlN9fmUq/ym14o2p7+mycxs34pwGUmcqEcbsXMGbXPDaGHsDH3p2lHT7knZqdi7DmauVLlOPQvSPPDSB3Ruzmu7M/sP3WTlRKE3pXeJVRNYdrBRu3H91FqVBSxamyVllzlTkApsqC/11MuBpGVkYGzk3qojTVvp/K2hKlWc6/K9ZlSgKQfO++Vnp63COt8zkp3b0t97bsJTMl/721Im/FKtBo3LgxU6ZM0Uq7du0a27Zto1OnTqhU6ijcxsaGefPmceLEiTyvmZqaSnx8vNaRnVlE/Us5eJSaxJaLh/np0EZ6LZ5M4zmDiUqI5fPOw6jmWS7vCxQDn29bRlpGOjM7D9eM/dcqVYHmFdR/lCPiCne2+8sa1qgbq07v4Fj4JU3azJ3LSctI5/OOQzVtrFmyvCbwuB2X85h5UbM3t2ZS4Ot8sGVBvspZmVrQolxdNl7KeSzd2CSmp/D21plsCN3PqNo96OEXiKu1g06enbdO8uul7Qz+50uC1nzA/aSHTG74OpWcyhRRzcHHzhtPa0/WXFv33HwXH1zi0L0jLLv8C+P3f0Dow2vUca1Ny9LNNXk2XN9ERlYGvSu8SgnzEgCUsfWiimMlAB6kPCioZmhkJCRy9aslWHt5Um3GaFAoUJiY4DOgB6Y21iTf1u09AzBztAfUPR//lpWhHupTWZrnes/SvTpya6VxDpuAetWJoY78WrJkCZUqVcLa2pqaNWuyadOmfF+jWAUaAwcOZO3atXz22WeatBo1alCqVCmdvEqlEoVCoZP+rODgYOzt7bWO7OO3DVpvQzp28xI9Fk1EpVTxau38T+gzRmfvhNJ07juERoezafBsfuoziWoe5fBx9ODa/dtEPDTOP8I5qe7hSxu/+oxeP1cr/dzdawTMH0bo/QjWD/iCH1/9gGru5fB2dOd6zG2jDaZmdxjJx9sXkajnnJUnOvj5czT8IrEphbfa5GW4WzvyebMhjNk9n/arx5GQmsT6rsHUdffLtczpqBDe3jITlVJFZ9+iGc5UoKB/xddYfHEpCc8ZNnlWXFo8s07OIT4tgYbuDTTp4Y/CmX5kBpFJkYyt/T6DqgygtG1pnC1diEyK4kFqbEE0Q8fZSbM4+e50HOvXIHDbUqp/Nga7iuoPVtF7juZY5klvhMpSe76TykIdYPx7hcm/WXq6Yl+5PJHbDhiq+gaXmZ1tsCM/lixZwvXr1/nll19YsmQJ0dHRdO7cWa8P8f9WrFadWFhY8Mcff9C0aVN27NjBtGnTaNWqFVevXqVCBe1xuy+//BI7O7s8rzlx4kRGjx6tlVbigzYGrbehHbh+liM3LuBoZVvUVTGYkxFX6LH46VDXkEZdsDA158dD64uwVvljZ2HNwlc/oM/yj7mfqPumdur2VV5d9nTfikENO2Nhas6iwxt18hqDUnYuvFq9Jd2qBmqlmyjVPYcPpmzh1zP/MGLDHJ2yPao2Z/WF3YVQS8NY3O4Dfr+8k4ysTGKS43h140ds7PY537R8j2a/jSAjl9VeR+9d4mTkVUqY2xRyjdVeLd+Diw8uczTyWL7LJmUks/f2Pmq71NRKv5Fwk7mn52ketygViJnKlF0Ru1+ytvkTumAFoQtWaB633L+SzNQ0wpatyTH/o+vhAJg5ldBKN3NUP04Kz3l+UelXO3B74w6yimgBgTFzcXHhrbfeAqBOnTqYmZnRtWtXdu3aRZ06dfIo/VSxCjQAqlevzq5du+jYsSMBAQG4u7vj7e1N165dsbOz49atW6xbt47bt2+zf3/e3bbm5uaYm2t3qSlUxt/RExEbxfm714u6GgXC0cqOj9u/zamIK8zb+2dRV0cvZipTfu03jSl/L+Ts3dA88zta2fFRmwGcun2V+QdWF0IN8+/eowc0WDBIJ/27zmNxt3Wi6y8TeZhDj4W9uTWNy1Rn0JrPC6OaL62iYxlquVXgi6O/atLiUhOZemAJK4I+ooJDaS7G3Mi1/J1H97n84FYh1FRbYMkA7M3tWHj+pxe+xoOUB0Q8yr0H18bUmm6+XbkRf5Ntt4puE6sy/bvg1KAmZyfOIjki56GTqF3q1SZ2FbRXBNn6qoe1Irfn3GNR+tWOnP/oa8NVtgAU1YZdQUFBWo/9/NQ9fI0a5bzZWW6KXaABULt2ba5cucLUqVNZunQphw4d4tChQ5rzjRs3ZuXKlVSpUqXQ66ZQKHRmcoN6CZ2FqVmOyzyfDPHkVC4npioTHK3t+CWHHTYLQ84tzKuNT/59fhvNTcz4460ZZGdD75+nkPp4X4PCplAocqyrUqHEwsSMpH8NJZgoVSzv+zFLj21m21Xtbl03G0ciH2mPa5ubmLHy9U/IJpu+yz8ukjYqcnkW/92+jKxMLkXf0MmTmJ5CelZGjucAOlVuyp6wUySkFe1+BAoFub5OzVWmmuWvienqMX0fe092h5/W5LuXqH7ekp4zbGSqNMHBwpY/r+w2VLX14u/egOrO1Zh3VnvujL2ZHXFp8ShQYKoyJS3z+a+tsvY+bArbnOM5U6UJo2qMALKZd2ZBjsuaC4NjvWrU/uYjwldv4fKsHzXpCqUSpYW5Zk5G3LkrRB84gVvrJpyb8pUmn0tAfRKuhhGVw5CLddnSWJcpSdTOQzrnjIkhV4ukpqaSmqo96TWnD9w52b59Ox988EG+Aw3j/+ieCzs7O+bMmUNkZCQHDx5k1apVrFmzhpCQEPbt21ckQYapyoQSlja42JTQObd20Ofc/WwTpR3cdM652qonnbnYOuic61W7Fd/0HI2brXrJl7mJGdM6DmLihgUkpBT+G/mTNjrn0MbVbwdze/oGSpfIoY02j9too9vGJ+qWrsieUQuwNrekwZy3i2T7cVC30d7CBmfrEjrn/nhjBrc+WkvpEq7A056M0PsRnLkTSgUXLyq4eFG7lB+zOo3UWbZap1RFdg77FiszCxrNHVTo24+D+g+Iun32Oud+6zWV0LGrKGXnkkNJ/XSvEsiaIh42MVWaYGdmjZOlbhuXtJ/Iubd+pqSNMwDhCVFsDD3AsFpdKGXrqik/vFY3Nl07yI3HK086+zZhRtNBuFiWANSrocbV78Onh5bxKD1Z5z4Fxd+9IR2827P22nrcLF3xsHKnlE1J/N0b0t5bvdHce7VGMi/ga5ws1O8bXralGVx1IGVsny4Vb+rZhKuxIdxIuKlzDx87bybXm4S5ypyPDk0r9O3HAZTmZpQd1Itmfy8hdMEKDvV5T+t849Xz6XT7AFalPTRpJ0dOw65SOVybNwTAoXYVPINacGLEVLIzdAMlr1c7ErH2H7KLaoOJIpDTvMTg4ODnlsnOzmb58uV88cUXtGmT/6kFxbJH499MTExo2LBhUVeDwY07M65VP+wtbbC3tOHcpBWMXfsNWy8dASDqUSwPkx7pfHpdN3gmAb61AZja4W06V29GkzmDNeeT01PpUKURfeu2ZceV45y/e53ZO34lJoc5AAVtkH9nxrbsq2njmQnLGbd+Hv9cVrcxOiGWh8m6bVzz9ucE+NYC4ON2A+hcrSlN/7UL6PiW/ehZswUJqUnM3/cnv53YluuYeEEb2OAVxgS+pmnjqTFLGb9xvqanIvrRkzaqx3PXvBVMqwrqvRTGBGovOb4ceZOxG74FYFzzvnSv3pxHqUl8d2ANv5/aXiRtfKtOR95r3At7C2vsLaw5OmwRk7Z+z/ZrxwGITnpIXMojUjNfbLzaxboEdUpWpM/vHxuy2vnSv3Ibhtfqhp25NXbm1uzp/S1TDyxmV7h6S/n7yXHEpSZqtXHkjq8ZX/81Vr4ylfvJcWRmZbIr/BTfn346RyglI41WZerSvUIg+yLOcPnBLb4/vY4HhTjhtZFHQwZXHYhSoWRGo2k656c+3jY8PjWBpIwkTS9ESkYqJa09mVJ/ElcfhnArIZwDdw4R/ihcq3yQTwcauNUjOTOFbeHbOXT3yHN3Gi0oLfb9jomVJXEXQtjd+nUenrqokycl+gHpDxPITH36fhN37gp72r5J9c/HU3nycLIzs9jf5R3uH8h58qJXr46cHFU4u/K+jCwD7gz6YQ7zEp/Xm5Gens7cuXP5448/iIiIoGXLlixfvpy+ffvqfU9F9ovsMFVM/PPPPy8UfalG5q9bqLhRmhTbjiy9qUxz3vnwv8TM2nj33jAUa5fcd7r8L2jt61jUVShwQR2NdzWHobyafqVAr//hocF5Z9LTDP+FL1x269atdOvWDVtbW+7evavXyk4oxkMn+ng2ahNCCCHEi2nbti0jRowgMjKSqCj9tx0oVkMnQUFBJCXlPS8hOzub6OhoLl26lGdeIYQQwpgZ09fEBwQE8NVXX2Fvrzv/KTfFKtDw9vZmwYIFODs7Y2VllWu3TXZ2Ng8fPizcygkhhBAFoKi+oyQnN27coGvXrlhY6P9FkMUq0BgzZgwWFhbMmjUrz7xpaWlUqlSpEGolhBBCFJysIujSiI+PZ+rUqTRu3JiuXbuiVCq5fPkyf/zxB7///nu+rlWsAg0fHx+dDURyY2ZmxoQJEwq4RkIIIcR/T1paGkePHuW7776jVKlS+Pv7U758edatW5evYRMoZoEGQGBgoN55Bw823ExdIYQQoigUxdCJs7OzXrtr66PYBRpCCCHE/xNjmgz6Iv7Ty1uFEEIIUbSkR0MIIYQwYsa06uRFSKAhhBBCGDFDbkFeFGToRAghhBAFRno0hBBCCCMmQydCCCGEKDCZMnQihBBCCJEz6dEQQgghjFhmVlHX4OVIoCGEEEIYseI+dCKBhhBCCGHEMov51qAyR0MIIYQQBUZ6NIQQQggjJkMnQgghhCgwxX0yqAydCCGEEKLASI+GEEIIYcRk6EQIIYQQBUZWnQghhBBC5EJ6NHKgMlUVdRUKlNLkvx9fqsz+288h/H+00cz0v/1atfw/+F3MyCjqGhR/MnQihBBCiAIjq06EEEIIIXIhPRpCCCGEEZOhEyGEEEIUGAk0hBBCCFFgZHmrEEIIIUQupEdDCCGEMGKZxbtDQwINIYQQwpjJ0IkQQgghRC6kR0MIIYQwYrLqRAghhBAFRoZOhBBCCCFyIT0aQgghhBEr7qtOpEdDCCGEMGKZWdkGO/IjKyuLefPmUalSJSwsLKhYsSKLFi3Kd/0l0BBCCCGEjuDgYE6fPs1PP/3Ehg0bcHBwYNCgQcyaNStf15GhEyGEEMKIFcWqk9TUVGJjY7V6MBo1akSlSpWYPn067777LqampnpdS3o0hBBCCCOWmZ1tsENf8fHxjBs3TivNxsaGoKAgEhISiImJ0fta0qMhhBBCGLHMLMNdKzU1ldTUVK00c3NzzM3NtdJcXFxyLG9lZYWdnV2u53MiPRpCCCHE/4ng4GDs7e21juDgYL3LHzx4kNdeew2VSqV3GenREEIIIYyYIedoTJw4kdGjR2ulPdubkZvjx49z8eJF1q9fn697SqAhhBBCGDFD7gya0zCJXnXIzGTkyJH8+OOPuLq65qusDJ0IIYQQ4rkmTpxIixYtePXVV/NdVno0hBBCCCNW1F+qtnDhQiIjI/n5559fqLwEGgbk4+jBu4G98Hb0pMui8Xnmd7d1YkbQEFr71cfW3Ip9188wceMCLtwLy7WMiVLF3lHfcfHeDQb+/pkhq68XH0cPRjV9FW9HD7ou+SDP/O62jnzafgit/Opha27F/utnmfjXd1yM1G6jk5U9MzoMoYp7WSxMzbgVG8m4Dd9y/cGdgmpKrrwdPBjZuCfeDu50Xz4pz/x25tbMaDeEoEqNUClV7As7w5hN33IvQXv5l7utE5+0GYSPoycZWZlkk81nO5eyL+xMQTUlR2VKuDO8fjfK2LvT64+P9C73z+tfUa9kJc3jmw/vUfO7NzWPjw/5iXKOJXMs22zxcM5FXnvhOudXaVs3BlV7hdK2bry1dUae+VUKJcNqdqNNmfpkZGWhUir54tgK9t/O/bkxUahY0zmYq7G3GLtnniGr/1wKFASUDCSwVAucLZyJSbnPP7f+4cDdfXpfw0JlSfNSLfC09uRe0l3OxZzjVsJNAMyUZnQq24UKJSoAClIyU/gzdJXmfGFxDahPtWkjUZqYYOZoT/ifWzk3bR7ZmZl5lvXsEEClsW9z/ec1hC1b99y8NmVLU/H9N1FZWhB/JYywZetIibxvoFYYRpYBV53k16+//srff//NH3/8gUKh0KTfu3cPd3d3va7xnxs6iYyMZMWKFaSlpRXqfQN8a/FOk24Ma9IdazOLPPObm5ixrP9HHL15kS6LJjB+w3waeldh18j5lHPO+c0a4JOOQ6jrVSnX8wUpoFwthjTqytDG3fRu49LXPuJo+CW6LZnIhE0LaFCmMjuHfUtZp6dtNFOZsnXI1ySkJtF03jvU+2oA12Nus2v4fDzsnAqySTqa+dRkSIPOvNOwC1Z6tFGhUDA7aCS7rp2g67KJ/HR0I12qNGPt69qzuC1MzNj45pdcf3CHVj+Oot1P7zNz13LWvv45dUtVLKjm6GjiVZ2BtV9hUJ1OWJnm3b5/l/Oyd+NqTLjmWHBsrea8f6kqlHMsyd2EGK08t+OjCY+LLNQgw9+jKm9Ubs8bVTpgaaLfWPSMJkMIKFWLXps+ouuGD/j+zFqWtJ1Es1I1cy0zvl5farj4GqjW+mtXpgOlbb1Yduln5p/7lqSMJF6v9AatS7fRq3yFEn5MbTCN9Kx0Fl9cxF83NmkFEUOrD8fRwpHPTwTz2fFPOHv/NGNrj6ekdamCapIO14D6BGz6ntPjv2Rbkz7sCOyPV6/2NFzy/NURChMTfAf3ovKEQbg1bwD/+sOYE79Rr9Nq369EbNjJkYEfcunLRUYXZBSlFStW8MUXXzB16lRCQ0O5fPky586dY8WKFcyePVvv6xSrHo3Dhw8zffp0bty4Qbly5XjjjTfo0aOHVh43Nzdu3LiBp6cn9+8X3gtmT+gp9oSeol/ddnrl71q9GVP+WsiRmxcAOBlxhXvxMax+O5j3A3sz4k/dJ7FNxfqYKPVfUmRoe66dYs+1U/St3Vav/F2qNuOjv3/kyC3tNv755me8H9CLkWvmADCscTcqu3kTMH+YpuzkvxfSp3ZrZgYN5/Vfpxu+MbnYG3aavWGn6VNLvzftyq7eTN+xhPCHkQCcvhNCJVdvXqncBCcrO2KS4gFoVKYald28Cfxhlabs7uunCLkfTo9qzTkecdnwjcnB/ltn2X/rLL2rtcxXuVENe9D+lzGExd7N8Xxb3wa0Xz6GwxEXtNLHNX4NWzOrF67vizh09zyH7p6nW/kAvfJXd/all19LBmz9jKSMFAA2hx2iR4XmBDcZSsDKYWRka3+KDihVC1UR/C6aKEywMrVi+eWlmrTrcdeY2uATOvq8wo6IHWRl5/6Jv4pjVYZVH8Gyyz9z5N5hnfO1XepQ2bEKUw9P0Vxne/g2Gnk0oV/F/sw8of8yyJdR55vJ3Nm8l5ijZwFIiYrhzKSvaPrnN9z4ZQN3/9mfY7nsjAxCF64kKeIers3qPfce1T99jwrD+7KtyWvEXQgxeBsMKbsIvib+l19+4Y033iArK4uaNWvqnD98WPf1k5ti06Oxf/9+AgMD+eeffwC4e/cu/fr1o3Hjxly7pv1pqUOHDsTGxhZFNUlKS9Er37k71zRBxhMbL+wnMTWZMo4eOvndbB0Z2exVPtz0vUHq+TKS0/Vs491rmiDjiU0XD5CYlkwZh6ddbu0r+fMgOZ7EtGRNWmpGGjtDTtClarN8ffI2lOT01LwzARciwzRBxhMh98O5Gh2uCTIATFXqmL6aezmtvKYqE8Ie5PzHuyDp2z6AGu6+eNm7U9rODVNlzp9NlpzerBNkAHSrHMDqS7tftJovJTlDv17N5l61USqU3H6k/cFk+83jlLJ1oaFnVa10F8sSDKgaxMyjyw1WV31ZmFjwz82tWmmpmamcu38WSxNLbEytcy3rZOHMkGpDORp5JMcgA6Cac3UAHqQ+0Eo/e/8MZe3L4WqZv9UGL8LKyxOH6n4k3dIeNr3z916yMjLweb1LntfISHr+e5TXq+2p+uFQTrz3mdEHGaAONAx16Ktfv35kZmaSnZ2d49GgQQO9r1VsAo1Jkybh5OTEsWPHuHjxIsePHyc6OpquXbvSunVrTQAC6p3Liko2+j2Ruc3DSMlI4/r92zrp33YfzZi1c0nLTH+p+hlCtp4Tk56dh/FESnoa12Oevok4W9vjYGmr+WP8xK3YSMxMTKngWvrFK/uC9G3jsxQKBXVKVeTtP7Xnz+y6dpKbsfdY2P0D3G0cAfUwTdSjWJYc/+ul65tf+Wneew174efsxfrXPufyqF8Z1aAHCrS7pG8+vKdTrqqrD6ZKE87cC33Z6r4QfX8XnSzsAHUA8W93HkUDUNHRSyv908aDmXboJ9KyMl6+kvn0KP0RCenxOulpWWkkZySRkJaQa9mevq9iqjRlU9jGXPPYmNoAYGdmr5X+JPAoaVPwwycWLurfDwt37Z0nM5OSSY15iH21Cnlf5DkvcJWFObXnTCQh9Gae8zeEYRSbQOP48ePMmjWLWrVqadJsbW0ZO3Ys+/btIzg4+IVnxBqLCi6lcbK255fj2p9YxjR/jU0XDnI1OryIamY45R+3ccWJp228FHkTlVJFc986WnmfzAMxV5kVah1flIOlLQu7TSA1I43bcVFa59Iy0+m2bCJWpubsGbqAV6u3oLqHL51+Hm8UwePzLDn1F4PWf87/2rvzsCjL7g/g3xmGfUdBBEQJBUHEFVCIxRSXNBX155bbi1aWpqXg8mqhaJlbaoppmntpprhmKqiF+0JobgipqKDoIDIssjrn98fk2DSAKMw8DO/5XNdcl9zPPc+c22eWM/c2axP3QV8swey3xmBz/88gFlX+9tHfMwS7ridoKcrXl/okHQAQ6NRKpfx5T5qB+MUPR33g3Rfxdy/glkz7k5Qr42rpinOZ5ypMrsz1LeBdvxXu5d2DVz0vhHuOwWe+szDKIxzWhjbKeg8KFL1rHjaeKvc3FCteg5IKerRqUm7KbcjLymAX1B7if/1ol8TUGHqG1Xs/cOgZAhPHBnj0+3m0nPUxgnavRPfEWLSaNxl6Rq++v4Q2CNGjUZN0JtGwtbWFu7t7ucccHR1x+PBhHDly5JUmqACKfd9zc3NVblQmzBTfjwL7Y3vSEZy/e01Z1t7ZA572TbDp/AFBYqppH/n3w/aLR3D+3nVl2fyjm1FSVoqven6onPzZ2rGZMvH494d2bdSsfiPM7PwfdG7aHl3d/HDsgxg0MLNWqZMsvYP3dn6F+NTziOkbgS5N28PcULjet6pKuHMRO679hsjDMWi/ejTOZ1xHTzd/jG7bs9L7hXkEI/bab9oJshp2pB7D3dxMjPTsgfYNFBNz7Uys0bdpEADgQYFi9VAr26Zws26En1OOChZreRqbN0ZD04bYd7vi3Rqb2zSHnlgPOcVPcCnrEtZdW4vvr36HFvW88F+fmTDXNwcAHLkXh4LSAvRq0gv2JoohXDtjO7S2bQsAeFKk+SHpsrwCJC9eD1NnB7SaNwkQiSCSSOA6egD0zUzxNF299+xV2If6AwAK7z/C9QVrkdD3I1xfsBYekaMRcmBNTTShxlU0fPE6NyHoTKIRFhaGI0eOVHhcX18fmzdvxq1btzBnzpwqn7e8fd/l57Xfc9DKoSm6NvfDJ7FLlWXmhiaY3WOMSpku827YFF3dfTFpzzKV8ssPbiI45iP8lZWOPeELsGbgNLS0d0UTG3vcepyBdJlUoIirLjXrHibv/wbNFw3B6jO70djaHuP9VScqB7/RBl2a+mDc7sXosW4S2ji6I/69b1DfxLKCs9Y+jwqeYMBPM5H1NAf9PUMqrOfj6IGnpcW4nqXdJZGvo7CsGGF7p2PPzeOYG/A+YjpPxtsuHeFkbgc5yXEu8xrM9I0R0X4ook6tffkJtUgEEQa7DcXm5E3IK6142MTaUJH0nn14BjnFimThfsF9/Jr2CywMLBDqrJj8LCuR4csLc3HjyQ287/UBwj3HoKlVM9ga26KorAh38tI03iYAuDhtES6Mj0Y9v1bofHQjWn81GRYeivlNj347V61zmzgp5ofdWL4ZZQVPAQB3fjqAjL1H0aCTHxp2D6pe8BrAPRpaEh0djdOnT2P79u2V1ouJiYGlZdXfuKdPnw6ZTKZyE/tod06AhZEp1gyejiEbPkNWQY6yvE/LQHRu1h4P5/6CpwuPKW8AMKx9NzxdeAzD2ldtBYjQLIxM8d3AaRiyOQpZBTK140kZKRi4aSZ8l47Ge9u/gpG+IYz0DbH2TMXjybVRybNSRB5YgQyZFF72byjLG5hZY9vQaGz641cAwIX0ZPTZOAWNrOzwZY+xQoX7WnKLC/DDpcOwMjKvsE5/zxDEXv9di1FVT1ahDNOOf4vusZMw7shinMi4hBb1XPD7vSRk5EvRtYkf3nT0xqURm3Bz9M/KGwD0bxaCm6N/Rr9mIVqPO8y1P5KfJCPx0YVK6z0jRS9tUVmhSvmlrIsAAId/LF3NKpTi+2trEH1uFtZdWwtZsQyWhpY4k3kapXLtDfOlxPyA+MChONJpBJIi5sM2oC2eFZfg1obYap2XyhSraUpz81XK0/covshaVWUOCHslOrO81cLCArGxsTh16hSuX78OD4+K95KIiYlBWVnVJmqVt++7SKK9/MtATx9bR0Zj5oHVuHRfddLcvisn0W7RKLX7JE3ZhP1XTyLq1zVIz6n93/YN9PTx47DZ+OzX7/Dng5dPDLQxscDnXcORlJGCmJM7tRBhzXoml+PM3aso/seqhzCvEFgYmaqsMLl4PxWrz+zGf3x6CRFmtWTkSXFdWn5vhQgi9GkeiF4/RGo5qpozJ+B95JYUYNbpdQCA+Dvn0G3nJLV6cQOWIu7OeSy6sBWZBdrdfyHQIQgWBhbYcH3dS+tm5CvmodgYqe5LIytRJP35FfSG6In08H/NBiG76DH2VjI0o2kuI/qifofWSJq6qNpDJzmXU+DUpzNMnR2Ql5qmLC/KVFy/Yml2BfcUjlA9ETVFZ3o0nvP39y83yZBKpSqbdK1evVqbYSmJIFLZPe05sUistgGURKyHH0bMwsazB3A4WbU7sIG5DWRF+biaeVvtBgA5hYpjsiLVrFwbRKJK2qiv3sbN70Zh4/kDiEv5VxvNbPBvhhID/DRiDgiEdzdHqXxYa5NIJFJbWQGU38byNLa2x89/vhjLf750t2k91c3YHuQ9rvKS6JokEpW/l5GifS+fENemoRuWnvmp3GOBjVvhYX42bmarr57Spspei5Vt5DXddzh87D0Q8fsKpOUqEsPckqdIeXJX7aY4VoCUJ3eRW/JUMw0ph08DX7So54VNyRtUyi0MFCtoRBDBQPxi0mRKTgqkhVK0tm2jUt/WSLGy43nPxj+JIMJ/PEfD2tAa311ZjYJS7b/XAEA9n5ZoH/M57u44iOsLXsyhEInF0DMxLv9Of1/38q5/2pa9kJeVwSksVKXc7I1GKHtaiAdxJ2su+BrCQydalJSUhK+//hpnz55Vlm3duhUODg6wt7eHhYUFhgwZAqlUmG/5+noSWBmbwdbUSu3YzvAvkT57DxpZKdahG+jpY9vIOfhLmo5L91PhbucMdztntHVyx+K+E+Bm56x2jtpAX08CSyMz1C+njT+P/AJ3P9+l0sYfh83GX1npuHT/L7jZOsPNVtHGRb0/Vlu22s6pOY5+tBwmBkbwX/aeINuPA8/baIr6pupDcD+9Owe3p+2Ek6WijQFNvPFFtw/QrP6LtnzUsR/O3r2Kw6kvEqvYK7/hdvZ9zO32AYz//iC3NbVCuE8vLE7YquEWqdIXS2BpaIZ65cwN+aH/57gxYRucLBQfQF52b+DbXhHwbvBiB8yhLUNx5t7VCpet9vMMxi6Bh030xRJYGJool67+05rQqUgctg4OpvVVyhua1sOyTp9ggNtbePeXWTiUdlbtvrWBbwM/dHPujv2398LW2A4NTOzhYOoI3wZ+yt1BP/Iej4Vvfq1cUSKnZ9iSvBHu1s3R3k6xkZVEJEFf1364nHUZSdI/VB6jgYk9Pm41EY3Nm2B+4jzczr2l3UYCEBsaoOn7g9Apbj1SVvyAEwM/UTketDsG/R6ehEkj9X2HjOwU7Ta0U99ZOPfGLVyZHQPPqWNg4a4Y3jRuaAePiHBcnh2DwoyHavdh1aMzQye//PIL+vbti2fPnkEkEmHatGno2rUrhg0bBmNjY0RGRiI4OBhpaWkYPHgwdu/eDXPziseQa9qYjr0R8da7sDQ2g6WxGS5N2YzIvcuVPRWP8p8gpzAfxWWKMc5dY75CqLsvAGDyW0NVzpX8MA2Td3+jtdiraozfO5gcMlTZxqTJGzFlX4yyp0L6rzbG/mceurgp3tQmhwxROVfywzuI2LscABDZ6V309+6E/OKn+PZkLLYlxaNM/vLfM9CEcJ9emBQ4GJZGZrA0MsOFCesw/ddvEZd6HgAgLXgCWVE+Sv5uo42xBfq1DMGHHcNw5u5V3HycgSN/XcDK06rjyAUlRej+/SR80f0DnB2/Ful/r6SZE78ee65V/TcqqmtU67cxscP/wcLIFBZGpjj93mrMPPIdjtxKVLTvqQyyohfXsKC0EO71nXFw+GKcSb+KK49uYfuVI7jyqPw9UiRiPbzjHoCQ9R9rrU3/NrR5V3zYqi8sDExhYWCK+AHLMOfMBvyengQAeFwkQ27xU5T8Pd8g0LEVpvi8C7FIjINpZ/DZyTXILSkQLP7K+DXogFGe4RCLxPjMd5ba8XkXFL/rkluSi8Kypyj7x14fyU+Ssezi1whz7Y9OTp2hJ9ZDcvZ1/JL2Yh5UR3t/dHLqDDk9w9mHZ3Hi/nGUyrXfq9j11DbomRhDdiUVRzqNwJOka2p1ih5lozQnD/Ji1fiC9nyLBiGK91bv2R+jUd/OOOw/WKXOlbkrUfgwCwE/LUFpbj7EEj1cmfstbq2vnUO1uj50IiKh1ru8ojZt2kAqlSImJgbu7u6Ij4/HggULkJGRgYMHDyI09EU32I0bN7Bjxw7MmDHjtR7LYFJgTYVdK4m1OAdFKHoGwm3Vri0Gprqxv0h1WNSv/ct/q6O7q/rwYV0T3Fl7ibRQhtINjZ7fel7VftqiKp5MP1hj56oqnenRSE1NxYYNG9CnTx8AQPPmzWFpaYmVK1eqJBkA4O7ujtTU2r+tLGOMMVbX6Uyi4ezsDFdX1d+JGD58OB49Ut/MiYhw+vRpbYXGGGOMaYyuD53oTB/6lClTsHv3brXyiRMnqpXt2rUL6enpWoiKMcYY0yxedaIlo0aNgouLCw4cUN2KWyJR75Q5efIk2rZtq63QGGOMMVYBnRk6ARTJRlXMmjVLZU8NxhhjTFfp+tCJTiUaVaXNZa2MMcaYJunI4tAK1clEgzHGGKsrdL1HQ2fmaDDGGGNM93CPBmOMMVaL6XqPBicajDHGWC2m64kGD50wxhhjTGO4R4MxxhirxXS9R4MTDcYYY6wW0/VEg4dOGGOMMaYx3KPBGGOM1WK63qPBiQZjjDFWi+l6osFDJ4wxxhjTGO7RYIwxxmox/q0TxhhjjGmMrg+dcKLBGGOM1WK6nmjwHA3GGGOMaQz3aDDGGGO1mK73aHCiwRhjjNViup5o8NAJY4wxxjSHmKCKioooKiqKioqKhA5FY+p6G+t6+4i4jXVFXW9jXW+frhIR6fgCXR2Xm5sLS0tLyGQyWFhYCB2ORtT1Ntb19gHcxrqirrexrrdPV/HQCWOMMcY0hhMNxhhjjGkMJxqMMcYY0xhONARmaGiIqKgoGBoaCh2KxtT1Ntb19gHcxrqirrexrrdPV/FkUMYYY4xpDPdoMMYYY0xjONFgjDHGmMZwosEYY4wxjeFEgzHGGGMaw4lGLXHu3DkYGBjgt99+EzqUGnPo0CEEBQUhJCQEHTt2xJgxY/Do0SOhw6qWW7duYfz48ejZs2el9QoLC7F8+XIMHjwYn3/+OY4dO6alCKtn/fr18PDwgKmpKVq3bo39+/erHJfJZJg4cSKcnZ1hbGyMwMBAHD9+XKBoq4eIsGfPHgwZMgQRERHYuHFjufV27doFkUiEtLQ07QZYRZU9J6t6vXJycjBhwgT4+/sjODgY/v7+2Llzp0biPXfuHKKioiAWiyESidCwYUMEBwejS5cuaNmyJd58803MmDED9+/f18jjMwEIugE6IyIimUxGrq6uBICOHTsmdDg14ujRo2RlZUWXLl0iIqJnz55ReHg4tW3blsrKygSO7vUcPXqUJk2aRAAoODi4wnqXLl2iZs2aUWRkpE795sK6deto5syZdOHCBfrpp5/IwcGBxGIxXbhwgYiI5HI59e3bl7766is6f/48bdmyhRo2bEj6+vp08uRJgaN/NVlZWdSjRw/q2rUrPXjwoMJ6d+7cIRsbGwJAt2/f1l6AVVTZc7Kq10sul9Nbb71Fo0ePptLSUiIiunLlCpmamtLOnTs1Fru3tzcBUD4mkeJ9YufOnWRvb0+WlpYUGxurscdn2sOJRi0wYsQI+vDDD+tUojF06FDq37+/SllSUhIBUCYfuqp+/foVJhqJiYlkbm5O0dHR2g2qBuzbt0/l7127dhEAWrhwIRERnThxgrZu3apSJzExkcRiMXXr1k1rcVZXdnY2eXl5Ubdu3VQ+5P6trKyMevXqRSNHjqy1icZz5T0nq3q9UlJSCABdvnxZpW6fPn0oLCxMYzEHBwerJRrP3bp1i2xsbMjIyIgSExM1FgPTDh46Edj69evRokUL+Pr6Ch1KjSopKcHVq1dRVlamUmZkZAQHBwcBI6s+ExOTcstlMhl69uyJtm3bYubMmVqOqvp69eql8re7uzsAwN/fHwBgZWWFQYMGqdRp27Yt3Nzcau2wQnmGDh2KBw8eYMuWLZBIJBXWi46OxvDhw9GkSRPtBfeayntOVvV6lZSUAAAuXbqkUrekpARvvPFGzQdbBS4uLpg3bx6KioowY8YMQWJgNYcTDQHduHED+/btQ2RkpNCh1Ljw8HAkJyfjk08+Af29J9yqVauwZMkS1K9fX+DoqkckEpVbPnv2bGRmZiI6OrrCOrokPj4e06ZNUyYaLVq0KLddJiYmcHV11XZ4r2Xv3r04ePAgJkyYUOnzMCEhAQ8fPsTAgQO1GN3rK++6VPV6tWjRAn5+fpg4cSKSk5MBAMnJyZBKpZg+fbrmgn6JYcOGQV9fH4cOHUJGRgYA4Pz58wgLC0NwcDDs7e3x6aefoqSkBHK5HLt370avXr1gZmaGzMxMzJw5Ex06dICzszMOHz6scu4FCxYgICAArVu3hkgkQpcuXVSOHzp0CG+//Tb8/f3h6OiIL774Qvk+xl6D0F0q/6uKioqoW7dulJmZSURE69evr1NDJ0REX3/9NYlEIho4cCCtXr2a4uPjhQ6pRjRu3Fitm7qkpISsra3J3t6eNm7cSCNGjKBWrVpRv3791Lqkazu5XE6bNm0iJycnOnr0aKV1ZTIZGRgY0LZt27QUXfX07NmTANDatWtp7Nix5OfnR507d1aZC/D48WMKDQ2lgoICIiKKioqq9UMn5T0ny1PR9crIyCAPDw+ysrKiTZs20dy5cyk/P19D0SpUNnTyXIsWLQgAHTlyhM6ePUseHh50//59IiKKi4sjPT09mjx5srJ+jx49CAAtX76cysrKSC6XU2BgIDk6OirrHDp0iPz9/enZs2dERLRnzx4KDQ1VHt+1axd17NiRcnJyiIhow4YNynOy18OJhkAmTpxIv/76q/LvuphoEBFFRERQ//79SV9fn5YsWSJ0ODWivDf1U6dOEQDq0KEDXb9+nYgUEwnd3d3JyMiIrl27JkCkr66kpIQWLlxIvr6+BIBEIhFt2bKlwvoLFy6kDh06kFwu12KUr0cul5ORkRHZ2tpSXFwcEREVFBTQgAEDCACtW7eOiIgGDRqkMo+oLiUalV2vq1ev0siRI8nGxobatWtHd+7c0UCkL1Ql0fD39ycA9OOPP1JISAitXLlS5Xi7du1IX19fmRQNHz6c/v39OTIykgDQw4cPiYhowYIF5OXlRYWFhco6c+bMUf7bxcWFDhw4oHKOevXqUcOGDV+voYznaAhh//79MDAwQPfu3YUORaMmTJiAsLAw7NixA1OnTsWnn36KyZMnCx2WRqSnpwMAwsLC0Lx5cwCAs7Mz5s+fj6KiIsyaNUvA6KpOX18fEREROHv2LA4ePAhjY2NMnjy53G7jjIwMrFixAhs3btSJoaKsrCwUFRWhffv2yq5yExMTxMTEwMDAANOmTcOKFSsQGBgIb29vgaOteZVdr8uXL2PBggXYsGEDzpw5g8ePH8PPzw8pKSkCRasgk8kAANbW1jh+/DhWrVqFkJAQ5S0/Px8ODg64e/cuAEAsVv9Iez5/pbCwEAAQGhqKv/76C23btsWOHTsgl8uVc6pSU1Nx+/ZtzJo1S+VxrKysYGhoiLy8PG00u+4ROtP5X9SpUyfS09NTuYnFYgJAYrGY9PT0hA6x2lasWEG+vr4qZVOnTiUAL+2Or+3K+/YYGxtLAOjbb79VKS8tLSWJREIeHh5ajLDmTJkyhQAoh/ieKy4upuDgYLVvfrVZdnY2AaBBgwapHXv+7drFxUXttSkSiQgA6enpkaurqwCRv9zLejQqu16FhYXUqFEjlWNpaWnUoEEDCgoK0kS4RPTyHo28vDySSCQkEokoLS2NAFTau0ZEyhVC/1Rej9Qff/xBgYGBBIA8PT3p1KlTRKRYqQOATpw4Ub3GMRXcoyGA77//HhcvXlS5RUdHAwDWrl2LixcvChtgDVi3bp3ajPUvvvgCDg4O2Lt3r0BRaU7Lli0BQPnN6jmJRIJ69erB1tZWiLCqLTg4GPr6+rC0tFSWERHCw8MxfPhw9OjRQ8DoXo21tTUcHR3VrhEA2NvbQyKR4ODBg2qvzbFjxwIADhw4gAMHDmg77Gp72fWKi4vDvXv3VF6vjRs3RlRUFBISEpCTk6PFaF/YtGkTysrK0Lt3b9jY2EAkEiE2NlatXmZmJrKysl7p3G3atEFCQgL27duH/Px8dOnSBffu3VM+z8vbrCwlJUW5Qoe9Gk40BODi4gIvLy+Vm6Ojo8oxXWdmZobU1FSVMj09PdjZ2cHU1FSgqGoGKeY2qZQ1bdoUAQEB2L17t8qx/Px8SKVS9O7dW9th1oi0tDSEhYXByMhIWTZu3Dh4e3tj9OjRKnUzMzO1Hd4rGzVqFM6fP68c6nru1q1b6N69O9zc3NRem3Z2dgAANzc3uLm5CRH2S5X3nHzuZdfLzMwMANRerw4ODjAwMICBgYEGIkalqzhSU1MxY8YMWFhYYPHixTA3N0e7du0QGxuLyMhIPH36FADw6NEjjB07Fubm5i8953NLlizB48ePASiWdB8+fBhPnz7FuXPn4OHhAXt7eyxbtgyLFy9GaWkpAOD27duYMWOGxv4v6jpONJhGREZGIjExEevXr1eW7dmzB+np6Xj//fcFjKx6SkpKkJOTA6lUqvamtmrVKmRkZGDBggUAALlcjilTpqBly5YYP368EOFWWW5uLiZNmoSdO3dCLpcDUCxx/Pnnn/HNN98AULyJjxs3DjKZDL1790ZycjKSk5ORlJSEuXPnIi4uTsgmVMm0adPg6emJcePGKT9Etm7ditTUVCxatEjg6F5PRc/Jql6voKAg+Pn5ISoqSvkBnJeXh6VLl+Ljjz+ucN+Y6srOzlYrKysrw7Zt2xAQEABjY2PEx8crl+LOnz8fEokEixYtgqWlJZo0aQInJyd0794dhoaGAIB79+4BUE16nz/OgwcPAADFxcUYPXq0cr5FcXExTExM4OPjAz09PcyfPx9yuRwREREwNzdH48aN0axZM4SHh2vk/+F/giADNkxNXVx1smvXLmrXrh15e3tTly5daNCgQXTz5k2hw3ptq1atIhcXFwJAAMjDw0Nl5RAR0Z9//kldunQhX19f8vHxobFjx1J2drZAEVedVCqlgIAAMjIyoqZNm9Lw4cMpOjpaucSPiOi9995Ttv3fN2tra5VZ/LWZVCqlUaNGUevWrcnf35/eeecdunr1aoX1a/Oqk8qek69yvR4/fkxjxowhV1dXCgoKoqCgIFq9erVyCWhNiouLozFjxihjsbGxIR8fHwoMDKTmzZtTaGgoLV26VLm8+J+OHj1Kfn5+ZGBgQI0aNaJly5Ypjz1foQKAnJycaP/+/TRgwACSSCQEgOrXr09bt26lefPmEQCytLSkgIAACg4OVps3tn37dvLy8iIDAwNyc3NT22GVvRoREe9CwhhjjDHN4KETxhhjjGkMJxqMMcYY0xhONBhjjDGmMZxoMMYYY0xjONFgjDHGmMZwosEYY4wxjeFEgzHGGGMaw4kGY4wxxjSGEw3GGGOMaYxE6AAYY7VXdnY2Lly4AKlUCnt7e3Tu3FnokBhjOoZ7NBhjFbp58yb27t2LYcOGISEhQehwGGM6iH/rhDFWqYyMDDg5OeHgwYPo1q2b0OEwxnQM92gwxip14sQJiEQidOjQQehQGGM6iBMNxliljh8/Dk9PT1haWgodCmNMB3GiwRirVEJCAvz9/YUOgzGmo3jVCWOsQk+ePMGVK1cwadIkAIBUKsW8efMgEolgZ2eHqVOnChwhY6y24x4NxliFTp48CSJCx44d8eTJE6xcuRJffvklUlJSsGXLFqHDY4zpAE40GGMVSkhIQL169dCwYUMsX74c//3vf2FkZITi4mKMHTtW6PAYYzqAl7cyxirUsWNH5OXloWfPnoiKioKJiYnQITHGdAz3aDDGylVYWIjExES4urri9u3bGDFiBJKTk4UOizGmYzjRYIyV6/Tp0ygtLUV0dDS2b98OBwcH9OrVS3lcJpMJGB1jTFdwosEYK9fx48dhY2MDb29vAEDTpk2Rl5cHAEhNTcWaNWuEDI8xpiM40WCMlev48eMIDg6GSCQCABgaGsLFxQUAsHXrVgwePFjI8BhjOoITDcZYuXJzc1WSicGDB8PKygrjx49H48aN4eTkJGB0jDFdwatOGGOMMaYx3KPBGGOMMY3hRIMxxhhjGsOJBmOMMcY0hhMNxhhjjGkMJxqMMcYY0xhONBhjjDGmMZxoMMYYY0xjONFgjDHGmMZwosEYY4wxjeFEgzHGGGMaw4kGY4wxxjSGEw3GGGOMacz/A75i4J+NzPdhAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams[\"font.size\"] = 14\n",
    "\n",
    "plot_data = moe_data.copy()\n",
    "plot_data[\"method\"] = \"Ours\"\n",
    "plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n",
    "pivot_data = (\n",
    "    plot_data[[\"gate_k\", \"k\", \"average\"]]\n",
    "    .pivot(index=\"gate_k\", columns=\"k\", values=\"average\")\n",
    "    .copy()\n",
    ")\n",
    "\n",
    "sns.heatmap(data=pivot_data, annot=True, fmt=\".1f\", cmap=\"RdYlGn\")\n",
    "plt.xlabel(\"$k$\")\n",
    "plt.ylabel(\"$k_{gate}$\")\n",
    "plt.savefig(\"clip-vit-l-14_hp-acc.pdf\", bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "plot_data = moe_data.copy()\n",
    "plot_data[\"method\"] = \"Ours\"\n",
    "plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n",
    "plot_data[\"num_params\"] = plot_data[\"num_params\"] / 303179776\n",
    "pivot_data = (\n",
    "    plot_data[[\"gate_k\", \"k\", \"num_params\"]]\n",
    "    .pivot(index=\"gate_k\", columns=\"k\", values=\"num_params\")\n",
    "    .copy()\n",
    ")\n",
    "\n",
    "sns.heatmap(data=pivot_data, annot=True, fmt=\".2f\", cmap=\"RdYlGn_r\")\n",
    "plt.xlabel(\"$k$\")\n",
    "plt.ylabel(\"$k_{gate}$\")\n",
    "plt.savefig(\"clip-vit-l-14_hp-params.pdf\", bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'created' timestamp seems very low; regarding as unix timestamp\n",
      "'modified' timestamp seems very low; regarding as unix timestamp\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Set font size\n",
    "matplotlib.rcParams[\"font.size\"] = 16\n",
    "\n",
    "plot_data = moe_data.copy()\n",
    "# Replace k = -1 with infinity\n",
    "plot_data[\"k\"] = plot_data[\"k\"].replace(-1, np.inf)\n",
    "plot_data[\"num_params\"] = plot_data[\"num_params\"] / 303179776\n",
    "\n",
    "# Plot line plot for accuracy\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.lineplot(\n",
    "    data=plot_data,\n",
    "    x=\"k\",\n",
    "    y=\"average\",\n",
    "    hue=\"gate_k\",\n",
    "    marker=\"o\",\n",
    "    legend=\"full\",\n",
    ")\n",
    "# plot the baseline of individual models 90.3\n",
    "plt.axhline(y=94.3, color=\"k\", linestyle=\"--\")\n",
    "plt.axhline(y=64.6, color=\"k\", linestyle=\"--\")\n",
    "\n",
    "plt.xlabel(\"$k$\")\n",
    "plt.ylabel(\"Average Accuracy\")\n",
    "plt.legend(title=\"$k_{gate}$\", loc=\"lower right\")\n",
    "plt.savefig(\"clip-vit-l-14_line-acc.pdf\", bbox_inches=\"tight\")\n",
    "plt.show()\n",
    "\n",
    "# Plot line plot for number of parameters\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.lineplot(\n",
    "    data=plot_data,\n",
    "    x=\"k\",\n",
    "    y=\"num_params\",\n",
    "    hue=\"gate_k\",\n",
    "    marker=\"o\",\n",
    "    legend=\"full\",\n",
    ")\n",
    "plt.xlabel(\"$k$\")\n",
    "plt.ylabel(\"Normalized Number of Parameters\")\n",
    "plt.axhline(y=1, color=\"k\", linestyle=\"--\")\n",
    "\n",
    "plt.legend(title=\"$k_{gate}$\", loc=\"lower right\")\n",
    "plt.savefig(\"clip-vit-l-14_line-params.pdf\", bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_650646/3488455489.py:2: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Dense' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_data = moe_data.copy()\n",
    "plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n",
    "pivot_data = (\n",
    "    plot_data[[\"gate_k\", \"k\", \"average\"]]\n",
    "    .pivot(index=\"gate_k\", columns=\"k\", values=\"average\")\n",
    "    .copy()\n",
    ")\n",
    "\n",
    "annot_data = pivot_data * 100\n",
    "annot_data = annot_data.round(1)\n",
    "sns.heatmap(data=annot_data, annot=True, fmt=\".1f\", cmap=\"RdYlGn\")\n",
    "plt.show()\n",
    "\n",
    "baselines = pd.DataFrame(\n",
    "    {\n",
    "        \"method\": [\n",
    "            \"Pretrained\",\n",
    "            \"Individuals\",\n",
    "            \"Simple Average\",\n",
    "            \"Task Arithmetic\",\n",
    "            \"Ties-Merging\",\n",
    "            \"Fisher Merging\",\n",
    "            \"RegMean\",\n",
    "            \"Layer-Wise AdaMerging\",\n",
    "            \"Weight-Ensembling MoE\"\n",
    "        ],\n",
    "        \"average\": [\n",
    "            64.6,\n",
    "            94.3,\n",
    "            80.0,\n",
    "            80.7,\n",
    "            84.0,\n",
    "            80.3,\n",
    "            88.8,\n",
    "            91.0,\n",
    "            93.8\n",
    "        ]\n",
    "    }\n",
    ")\n",
    "sns.scatterplot(\n",
    "    data=plot_data,\n",
    "    x=\"num_params\",\n",
    "    y=\"average\",\n",
    "    style=\"gate_k\",\n",
    "    hue=\"gate_k\",\n",
    "    palette=\"viridis\",\n",
    "    legend=\"brief\",  # Remove the legend for size\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_281912/4195108470.py:18: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Dense' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.\n",
      "  plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.legend_handler import HandlerPathCollection, HandlerLine2D\n",
    "\n",
    "matplotlib.rcParams[\"font.size\"] = 15\n",
    "\n",
    "colors = [\n",
    "    \"#EA6B66\",\n",
    "    \"#7EA6E0\",\n",
    "    \"#97D077\",\n",
    "    \"#FFB570\",\n",
    "    \"#CCCC00\",\n",
    "    \"#000099\",\n",
    "    \"#FF99FF\",\n",
    "    \"#666666\",\n",
    "    \"#CCCCCC\",\n",
    "]\n",
    "plot_data = moe_data[moe_data[\"gate_k\"] == 16].copy()\n",
    "plot_data[\"method\"] = \"Ours\"\n",
    "plot_data.loc[plot_data[\"k\"] == -1, \"k\"] = \"Dense\"\n",
    "plot_data\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 5))\n",
    "# ours\n",
    "ours_scatter = plt.scatter(\n",
    "    plot_data[\"num_params\"] / 303179776,\n",
    "    plot_data[\"average\"],\n",
    "    s=plot_data[\"num_params\"] / 303179776 * 30,\n",
    "    marker=\"o\",  # Marker for \"Ours\"\n",
    "    c=colors[0],\n",
    "    label=\"Ours\",\n",
    ")\n",
    "plt.plot(\n",
    "    plot_data[\"num_params\"] / 303179776,\n",
    "    plot_data[\"average\"],\n",
    "    c=colors[0],\n",
    "    # dashed\n",
    "    linestyle=\"--\",\n",
    ")\n",
    "\n",
    "# baselines\n",
    "baseline_scatters = []\n",
    "for i in range(len(baselines[\"method\"])):\n",
    "    scatter = plt.scatter(\n",
    "        baselines[\"num_params\"][i] / 303179776,\n",
    "        baselines[\"average\"][i],\n",
    "        label=baselines[\"method\"][i],\n",
    "        s=baselines[\"num_params\"][i] / 303179776 * 30,\n",
    "        c=colors[(i + 1)],  # Cycle through colors\n",
    "    )\n",
    "    baseline_scatters.append(scatter)\n",
    "\n",
    "# plot the average accuracy of individuals as a horizontal line\n",
    "plt.axhline(y=94.3, color=\"k\", linestyle=\"--\")\n",
    "plt.scatter([8], [94.3], color=\"k\", marker=\"x\", label=\"Individuals\")\n",
    "plt.axhline(y=64.6, color=colors[1], linestyle=\"--\")\n",
    "\n",
    "plt.xlabel(\"Normalized Number of Parameters\")\n",
    "plt.ylabel(\"Average Accuracy\")\n",
    "plt.legend()\n",
    "\n",
    "plt.savefig(\"clip-vit-l-14_scatter.pdf\", bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}