{ "cells": [ { "cell_type": "markdown", "id": "3afaa84b", "metadata": {}, "source": [ "# Function-node activity gating\n", "\n", "This tutorial demonstrates the `node_activity` feature of the GSNN. We simulate data from **two overlapping graphs** (shared inputs/outputs, but different function nodes). A single GSNN is trained on the union graph and receives a per-sample binary vector `x_fn` telling it which function nodes are active for that sample.\n", "\n", "We compare two models:\n", "\n", "1. **Model A** – plain GSNN (no node-activity gating)\n", "2. **Model B** – GSNN with `node_activity=True`, conditioned on the binary `x_fn`\n", "\n", "We then use `GSNNExplainer` to extract per-observation node importances and check, for one observation from each graph, whether the explainer's top-ranked function nodes align with the *true* set of function nodes used to generate that observation." ] }, { "cell_type": "code", "execution_count": 1, "id": "7153d282", "metadata": {}, "outputs": [], "source": [ "import networkx as nx\n", "import numpy as np\n", "import torch\n", "from matplotlib import pyplot as plt\n", "from sklearn.metrics import roc_auc_score\n", "\n", "from gsnn.models.GSNN import GSNN\n", "from gsnn.simulate.nx2pyg import nx2pyg\n", "from gsnn.simulate.simulate import simulate\n", "from gsnn.interpret import GSNNExplainer\n", "\n", "%load_ext autoreload\n", "%autoreload 2\n", "\n", "torch.manual_seed(0)\n", "np.random.seed(0)\n", "\n", "device = 'cuda' if torch.cuda.is_available() else 'cpu'" ] }, { "cell_type": "markdown", "id": "406382fe", "metadata": {}, "source": [ "## Define two overlapping graphs\n", "\n", "Both graphs share the same input nodes (`in0..in2`), output nodes (`out0..out2`), and two shared function nodes (`fA`, `fB`). Each graph adds a pair of unique function nodes that route information differently.\n", "\n", "The GSNN is constructed on the **union** of the two graphs so a single model architecture can represent both data-generating processes." ] }, { "cell_type": "code", "execution_count": 2, "id": "9924dc64", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "G1: 10 nodes, 9 edges\n", "G2: 10 nodes, 9 edges\n", "Union: 12 nodes, 15 edges\n", "Function-node ordering: ['fA', 'fB', 'f1a', 'f1b', 'f2a', 'f2b']\n" ] } ], "source": [ "input_nodes = ['in0', 'in1', 'in2']\n", "output_nodes = ['out0', 'out1', 'out2']\n", "\n", "shared_fns = ['fA', 'fB']\n", "only_G1 = ['f1a', 'f1b']\n", "only_G2 = ['f2a', 'f2b']\n", "function_nodes = shared_fns + only_G1 + only_G2 # union ordering\n", "\n", "# Graph 1: routes through fA/fB and the f1* nodes\n", "G1 = nx.DiGraph()\n", "G1.add_edges_from([\n", " ('in0', 'fA'), ('in1', 'fB'), ('in2', 'f1a'),\n", " ('fA', 'f1b'), ('fB', 'f1b'), ('f1a', 'f1b'),\n", " ('f1b', 'out0'), ('fA', 'out1'), ('fB', 'out2'),\n", "])\n", "\n", "# Graph 2: routes through fA/fB and the f2* nodes\n", "G2 = nx.DiGraph()\n", "G2.add_edges_from([\n", " ('in0', 'fA'), ('in1', 'f2a'), ('in2', 'fB'),\n", " ('fA', 'f2b'), ('fB', 'f2b'), ('f2a', 'f2b'),\n", " ('f2b', 'out0'), ('fA', 'out1'), ('fB', 'out2'),\n", "])\n", "\n", "# Union graph used to build the GSNN (also ensures every node/edge appears)\n", "G_union = nx.compose(G1, G2)\n", "for n in input_nodes + function_nodes + output_nodes:\n", " G_union.add_node(n)\n", "\n", "print(f\"G1: {G1.number_of_nodes()} nodes, {G1.number_of_edges()} edges\")\n", "print(f\"G2: {G2.number_of_nodes()} nodes, {G2.number_of_edges()} edges\")\n", "print(f\"Union: {G_union.number_of_nodes()} nodes, {G_union.number_of_edges()} edges\")\n", "print(f\"Function-node ordering: {function_nodes}\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "9a0efacd", "metadata": {}, "outputs": [ { "data": { 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A4cKFCzl+B0AwNTUVYmNjsz1ub28vWFtbC69fv872+BdffCHo6+tnLT9t2jRBIpEI4eHh2Zbr3bt3tuPhu6pXry4MGzbsg5kFIeP9aty4cbbHTp48met6c3vPRo8eLQAQ/P39sy3r5OQkNGjQIOtnPz8/AYCwcePGD+YxMjLK9dj7fiZ1HXtyU9DP1PTp03Ndbty4cYJEIhFu374tCIIgrF27Ns/jzvvvb0G/i5s0aSI4Ozt/8HUQEZEgsKcUEdF7zM3N8ccff+Dy5ctYvHgxBgwYgH///RczZsxA06ZNc/QAaN68OWrWrJn1s76+PurXr49Hjx5lW27dunVo2bIl9PX1IZVKoaOjg+PHj+d6S1v//v2ho6OT9fPdu3dx69atrDFG0tPTs/45OTkhKioKt2/fBpBxFbdnz56oVq1a1vO1tbVzveKbm8jISFSpUiXHbVC///47mjRpgo8//jjb466urtl+Pn/+PJKSknLM1FajRg306NEDx48fz3PbmbdHvT+WytChQ3O9nRIAqlatCqVSmedtFpk8PT0RERGBY8eOZT3m7e0NCwsLODo6AgA++ugjVKpUCdOmTcO6dety9JhRlVatWkFHRyfr37Jlywq9DqVSme1zkHlr2+3btxEZGYlRo0Zl64VkbGyMwYMH48KFC0hMTMy2rv79+2f7uVmzZkhOTsaLFy/y3H6dOnXQt29f/PbbbxAEAUBGL4mYmJg8e4tkioyMBJDxt8uNiYlJjkxubm5QKpXZeiAW1eHDh5Geng53d/ds76G+vj66du2aa+/FqlWr5jvTo1QqxciRI7F79+6sHmQKhQJbtmzBgAEDsm6Zy+zdM3ToUPj7+6tlBsm4uLhsnzEdHZ0cMz1mio2NhZOTEwRBwK5du7J9bjLHtMv8l3nLU+a++v5+3rZtWzRq1CjHfm5hYZF1e2CmZs2a5ThOvs/V1RVVq1bN1lvql19+QZUqVfI9puX3OevRowcqVaqU9XNycjKOHz+OgQMHwtDQMMdxNjk5GRcuXACQ8fobN26MTz75JNs63dzc8sxTkM+Qqkgkkhy9595/vw8dOgR9ff0i3TaaG00dezIV5DN14sQJfPzxxzmW8/DwgCAIWb0DT548medx512F+S5u27YtDh06hOnTp+PUqVNlagIBIiJVYlGKiCgPrVu3xrRp0xAQEIDIyEhMnjwZDx8+zDHYeW5js+jp6WVrgC5fvhzjxo1Du3btEBQUhAsXLuDy5ctwcHDItaH6/u1ez58/B5AxE9j7J5rjx48HgKxiWUxMDCwsLHKsM7fHcpOUlAR9ff0cj8fExGQrdGV6/7HMWxNyu2XNysrqg7cuZP7u/axSqTTX9xlAVtb8GvyOjo6wtLSEt7c3AODVq1fYt28f3N3doa2tDSBjUOvff/8dzZs3x8yZM9G4cWNYWVlhzpw5BR6TK1PlypVhYGCQ60n39u3bcfnyZezbt69Q63yXTCbL9jno2bMngPzff6VSmeNWyPff28xB9fN7TydOnIg7d+7g6NGjAIA1a9agQ4cO+d5ulLne3D5nQM7PFPD/z4Qqbn3J3J/atGmTY3/atWtXjsJzZtaCnFTKZDIkJydj586dADIKYFFRUVm37gEZg9nv3bs3qzBmbW2NJk2aFGmsmcyC+PufMxMTE1y+fBmXL1/GnDlz8nz+q1ev0Lt3bzx9+hRHjx5FnTp1sv2+bt262d6f+fPnAyj8fl6Q42Ru9PT0MHbsWGzfvh1xcXGIjo6Gv78/Pv3003wnf8jvc/Z+9piYGKSnp+OXX37J8bnInAmzOMfZgn6GVMHQ0DDH69bT00NycnLWz9HR0bCyslLZOHaaPPbk9tzM57/73JiYmDzzvJs5r++39/+ehfkuXr16NaZNm4a9e/eie/fuMDMzg7Ozc763sBMRlTecfY+IqAB0dHQwZ84crFixAjdu3Cj087du3Ypu3bph7dq12R7Pa5yi93spVa5cGQAwY8YMDBo0KNfnNGjQAEBGQz23XkP59SR6d1tXr17N8bi5uXlWg/xD6808UYiKisqxbGRkZNZryU3mc589e4bq1atnPZ6enp5nMSJzvK4PrRfI6C02atQorF69GnFxcdi+fTtSUlKyFQsAoGnTpti5cycEQcD169fh4+OD+fPnw8DAIM+BpPPaXo8ePXDkyBFERUVlOzHK7G32/sDbhTF37txsPZIyp7vP7/3X0tLK1jukOHr06IEmTZrg119/hbGxMa5evfrBMYIyZf6tMv927/vQ5yyv4iTw/+JDSkpKtoLF+0WmzO0HBgbCxsYm37yZWfP7jAHI6pXh7e2NsWPHwtvbG1ZWVrCzs8u23IABAzBgwACkpKTgwoULWLRoEdzc3FCrVi106NChQJmAjF53lSpVwv79+/Hjjz9mPa6trZ01e2Zex6xXr16hV69eePDgAY4fP45mzZrlWGb//v3ZBsfOPJl/93NmbW2d7Tn57eeFNW7cOCxevBhyuRzJyclIT0/H559/nu/z3v2c5VaYeP84W6lSpazjxLsDw7+rdu3aAIp2nI2NjUWtWrXyzZ2bdz/b78qtgFpQVapUwZkzZ6BUKlVSmNLksacwmfLKA/z/M2Jubp7rhBrv/z0L811sZGSEefPmYd68eXj+/HlWr6l+/frh1q1bRX9RRERlDHtKERG9J7cGLICs2+zenSmtoCQSSY6r+tevX88xI1FeGjRogHr16uHatWto3bp1rv8yixLdu3fH8ePHs53YKxQK7Nq1q0DbatiwIWJiYnIMYJ05qO/7t7Rl9gjJ1KFDBxgYGOQoTkRERODEiRNZPXpykzmr07Zt27I97u/vn+cg0Pfv34e5uXmuV7nf5+npieTkZOzYsQM+Pj7o0KEDGjZsmOuyEokEn3zyCVasWIGKFSvmWqjLz4wZM6BQKPD5558XuqdVfmrVqpXt7595ItSgQQNUr14d27dvz7qtDgASEhIQFBSUNSuWqnz11VcICQnBjBkzUK1aNQwZMiTf59jY2MDAwCDPmcji4+Nz9CLbvn07tLS00KVLlzzXm3nCf/369WyP79+/P9vP9vb2kEqluHfvXp770/vu37+f49bVvHh6euLixYs4c+YM9u/fj9GjR2f1xnufnp4eunbtmjUAdW6z/32Irq4uvvnmG9y4cSPbINb5ySxI3b9/H0eOHEGLFi1yXa5p06bZ3pfM41+PHj0AIMd+fvnyZdy8efOD+3lhWVpaYsiQIfjtt9+wbt069OvXL9st03nJ3Lc/NOPduwwNDdG9e3eEhYWhWbNmuX4uMgsv3bt3x99//41r165lW8f27dtzXXd6ejqePHlS4M/Q+/L6bBent6WjoyOSk5NzTADxvoL0aAM0f+wpiJ49e+Kff/7JcfzOnL0xcxD87t2753nceVdhvovfVa1aNXh4eMDV1RW3b9/OcRsjEVF5xp5SRETvsbe3h7W1Nfr164eGDRtCqVQiPDwcy5Ytg7GxcZFmAOvbty8WLFiAOXPmZM1gN3/+fNSuXbvAM26tX78ejo6OsLe3h4eHB6pXr47Y2FjcvHkTV69eRUBAAADg+++/x759+9CjRw/Mnj0bhoaGWLNmDRISEgq0ncxZoi5evJitd8ekSZMgl8vh6OiI+fPno1q1ati+fXvWFd/MK+0VK1bErFmzMHPmTLi7u8PV1RUxMTGYN28e9PX1P3grUaNGjTBy5EisXLkSOjo66NWrF27cuIGff/4ZFSpUyPU5Fy5cQNeuXXP0eshNw4YN0aFDByxatAhPnjzBhg0bsv3+wIED+O233+Ds7Iw6depAEATs3r0bcXFx6N27d9ZyPXv2xO+//57v365jx45Ys2YNvvzyS7Rs2RKfffYZGjduDC0tLURFRSEoKAgAcry2wMBAABmFECBjhjVjY2MAgIuLywe3qaWlhaVLl2LEiBHo27cvxo4di5SUFPz000+Ii4vD4sWL832fCmPkyJGYMWMGTp8+je+//x66urr5PkdXVxcdOnTIGp/nfebm5hg3bhweP36M+vXr4+DBg9i4cSPGjRv3wWKEk5MTzMzM4OXlhfnz50MqlcLHxwdPnjzJtlytWrUwf/58fPfdd7h//z4cHBxQqVIlPH/+HJcuXcrq4ZApJiYGd+7cwZdfflmg98TV1RVff/01XF1dkZKSkmPcpdmzZyMiIgI9e/aEtbU14uLisGrVKujo6KBr165Zy0mlUnTt2vWD47ABwLRp03Dr1i1Mnz4dp0+fxrBhw1CrVi2kpKTg/v372LRpE7S1tbMKAklJSbC3t0dYWBhWrlyJ9PT0bH+LKlWqoG7duh/cZoMGDfDZZ5/hl19+gZaWFhwdHfHw4UPMmjULNWrUKPAMagU1ceJEtGvXDgCybsHNT7t27WBgYIALFy7kGCsoL6tWrUKnTp3QuXNnjBs3DrVq1UJ8fDzu3r2L/fv3Z41BlHk87NOnDxYuXIhq1aph27ZtefaAuX79OhITE/OcCTA/FhYW6NWrFxYtWoRKlSrBxsYGx48fx+7du4u0PiDjc+rt7Y3PP/8ct2/fRvfu3aFUKnHx4kU0atQIw4cPB5BRmDx16hT2798PS0tLmJiYZBXB36XpY09BTJ48GX5+fujTpw/mz58PGxsbhISE4LfffsO4ceNQv359AIC7uztWrFgBd3d3/PDDD6hXrx4OHjyIw4cP51hnQb+L27Vrh759+6JZs2aoVKkSbt68iS1btohSnCMiKtHEG2OdiKhk2rVrl+Dm5ibUq1dPMDY2FnR0dISaNWsKo0aNEv75559sy9rY2Ah9+vTJsY6uXbsKXbt2zfo5JSVFmDp1qlC9enVBX19faNmypbB3715h9OjRgo2NTdZymTMp/fTTT7lmu3btmjB06FChatWqgo6OjmBhYSH06NEjx8xbZ8+eFdq3by/o6ekJFhYWwjfffCNs2LChQLPvKRQKoVatWjlm1RIEQbhx44bQq1cvQV9fXzAzMxO8vLwEX19fAYBw7dq1bMtu2rRJaNasmaCrqyuYmpoKAwYMyDFzX26zpaWkpAhTpkwRqlatKujr6wvt27cXzp8/n2P2N0EQhLt37woAhKCgoA++pndlvg8GBgY5Zti6deuW4OrqKtStW1cwMDAQTE1NhbZt2wo+Pj7Zlsuc+amgwsPDBU9PT6F27dqCnp6eoK+vL3z00UeCu7u7cPz48RzL47+ZH3P7V1B79+4V2rVrJ+jr6wtGRkZCz549hbNnz2ZbJvP9j46Ozvb4+7PVCULO2ffe5eHhIUilUiEiIqLA+TZv3ixoa2sLkZGR2R7PnHns1KlTQuvWrQU9PT3B0tJSmDlzZo7ZrvDe7HuCkDEzm62trWBkZCRUr15dmDNnjrBp06ZcP/t79+4VunfvLlSoUEHQ09MTbGxsBBcXF+HYsWM5suro6GSb0TI/bm5uAgChY8eOOX534MABwdHRUahevbqgq6srVK1aVXBychL++OOPHK/v3eNIfvbt2yf069dPqFatmiCVSgUTExOhefPmwpQpU4Rbt25lLZd5nMnrX15/5/cpFAphyZIlQv369QUdHR2hcuXKwsiRI4UnT55kWy632eQEQcjz+JfXbJO1atUSGjVqVKBsmUaNGiV8/PHHOR4HIEyYMCHX5zx48ECQyWRC9erVBR0dHaFKlSqCra2tsHDhwmzL/fPPP0Lv3r2zHQ+Dg4NznSVv1qxZQuXKlYXk5OR8M+f1fkVFRQkuLi6CmZmZYGpqKowcOTJrxtD3Z98zMjLK8fzcjrdJSUnC7NmzhXr16gm6urqCubm50KNHD+HcuXNZy4SHhwsdO3YUDA0Ns30m85oRUNXHnsK8R+9/pgRBEB49eiS4ubkJ5ubmgo6OjtCgQQPhp59+yjHLZEREhDB48GDB2NhYMDExEQYPHiycO3cu189kQb6Lp0+fLrRu3VqoVKmSoKenJ9SpU0eYPHly1iycRESUQSII7/SvJSIiArBs2TL88MMPePr0KQwMDD647GeffYYdO3YgJiamQL1kVGnWrFnw8/PDvXv38pydj9QrNTUVtWrVQqdOneDv71/g5yUnJ6NmzZqYMmUKpk2bpsaExde5c2fUrFkzx22lpDnXr1/HJ598gjVr1mQNKF0QV65cQZs2bXDhwoWsnlaaplAo8NFHH8HNzQ0//PCDKBmIiIhKKhaliIgoh+TkZDRq1AgTJkzA1KlTsx6fP38+rKysUKdOHbx9+xYHDhzApk2b8P3332fNyqUpcXFxqFOnDn755Zes6blJc6Kjo3H79m14e3vDx8cHly9fznfWvfetXbsWc+fOxf3792FkZKSmpMVz+vRp2NnZ4Z9//skxMx2p37179/Do0SPMnDkTjx8/xt27dwt969OwYcOQkJCAAwcOqCnlh/n6+mLq1Km4c+cOKlasKEoGIiKikoqXlYmIKAd9fX1s2bIlx6DLOjo6+OmnnxAREYH09HTUq1cPy5cvL9I4W8X14MEDzJgxA25ubhrfNgEhISHw9PSEpaUlfvvtt0IXpICMXnZxcXG4f/8+mjZtqoaUxRcTEwM/Pz8WpESyYMECbNmyBY0aNUJAQECRxuJZtmwZNm/ejPj4+FwHoVY3pVKJbdu2sSBFRESUC/aUIiIiIiIiIiIijdMSOwAREREREREREZU/LEoREREREREREZHGsShFREREREREREQax6IUERERERERERFpHItSRERERERERESkcSxKERERERERERGRxrEoRUREREREREREGseiFBERERERERERaRyLUkREREREREREpHEsShERERERERERkcaxKEVERERERERERBrHohQREREREREREWkci1JERERERERERKRxLEoREREREREREZHGsShFREREREREREQax6IUERERERERERFpHItSRERERERERESkcSxKEVGBXb9+HV5eXqhbty4MDAxgYGCAevXqYezYsbhy5Yqo2WrVqoW+ffsW+fl+fn4YPnw4GjRoAC0tLdSqVUt14YiIiKhcK6ttqKioKHz//ffo0KEDKleujAoVKqBVq1bYsGEDFAqFipMSUVkkFTsAEZUO69evxxdffIEGDRpg4sSJaNy4MSQSCW7evIkdO3agTZs2uHv3LurWrSt21CLZsmULnj17hrZt20KpVCItLU3sSERERFQGlOU21J9//gk/Pz+4u7tj1qxZ0NHRwaFDhzBu3DhcuHABcrlc7IhEVMJJBEEQxA5BRCXb2bNn0aVLF/Tp0weBgYHQ1dXNsUxAQAA6duwIKyurPNeTmJgIQ0NDtWSsVasWmjRpggMHDhTp+UqlElpaGZ1H+/btixs3buDhw4cqTEhERETlTVlvQ7169QrGxsbQ0dHJ9vgXX3yBNWvW4PHjx6hRo4aqohJRGcTb94goXz/++CO0tbWxfv36XBtTADBkyJBsjSkPDw8YGxvjr7/+gp2dHUxMTNCzZ08AwNGjRzFgwABYW1tDX18fH330EcaOHYuXL19mW+fcuXMhkUgQFhaGQYMGoUKFCjA1NcXIkSMRHR2da47Q0FC0bNkSBgYGaNiwYYGv0GUWpIiIiIhUpay3oSpVqpSjIAUAbdu2BQBERETkuw4iKt94FkZEH6RQKHDy5Em0bt0alpaWhXpuamoq+vfvjx49eiA4OBjz5s0DANy7dw8dOnTA2rVrceTIEcyePRsXL15Ep06dcr1tbuDAgfjoo48QGBiIuXPnYu/evbC3t8+x7LVr1zBlyhRMnjwZwcHBaNasGby8vHD69OmivwFERERERVCe21AnTpyAVCpF/fr1i/R8Iio/OKYUEX3Qy5cvkZSUBBsbmxy/UygUePcOYG1tbUgkkqyf09LSMHv2bHh6emZ73ueff571f0EQYGtri27dusHGxgaHDh1C//79sy0/aNAgLF26FABgZ2eHatWqYcSIEfD398eIESOyZT179ixq1qwJAOjSpQuOHz+O7du3o0uXLsV4F4iIiIgKp7y2oY4cOYItW7Zg4sSJMDc3L9Rziaj8YU8pIiqyVq1aQUdHJ+vfsmXLciwzePDgHI+9ePECn3/+OWrUqAGpVAodHZ2sBtvNmzdzLP9uowkAhg4dCqlUipMnT2Z7vHnz5lmNKQDQ19dH/fr18ejRoyK9PiIiIiJ1KKttqKtXr2Lo0KFo3749Fi1aVKjnElH5xJ5SRPRBlStXhoGBQa6Nku3btyMxMRFRUVE5rswBgKGhISpUqJDtMaVSCTs7O0RGRmLWrFlo2rQpjIyMoFQq0b59eyQlJeVYj4WFRbafpVIpzM3NERMTk+3x3K7G6enp5bpOIiIiInUqb22osLAw9O7dG/Xq1cPBgwehp6dX4OcSUfnFohQRfZC2tjZ69OiBI0eOICoqKtuYCB9//DEA5DlL3bvd0DPduHED165dg4+PD0aPHp31+N27d/PM8OzZM1SvXj3r5/T0dMTExLBLOBEREZVY5akNFRYWhl69esHGxgZHjhyBqampStdPRGUXb98jonzNmDEDCoUCn3/+ea6DaBZGZiPr/atn69evz/M527Zty/azv78/0tPT0a1bt2JlISIiIlKn8tCGCg8PR69evWBtbY2jR4+iUqVKKls3EZV97ClFRPnq2LEj1qxZgy+//BItW7bEZ599hsaNG0NLSwtRUVEICgoCgBzdzHPTsGFD1K1bF9OnT4cgCDAzM8P+/ftx9OjRPJ+ze/duSKVS9O7dG3///TdmzZqFTz75BEOHDlXZa/znn3/wzz//AMi4qpiYmIjAwEAAGVczM69oEhERERVUWW9D3b59G7169QIA/PDDD7hz5w7u3LmT9fu6deuiSpUqKtkWEZVNLEoRUYF8/vnn6NChA1atWoUVK1YgMjISEokE1tbWsLW1xfHjx9GjR49816Ojo4P9+/dj4sSJGDt2LKRSKXr16oVjx45lG2DzXbt378bcuXOxdu1aSCQS9OvXDytXroSurq7KXp+/v3/WdMuZhgwZAgCYM2cO5s6dq7JtERERUflRlttQ58+fzxqfql+/fjl+7+3tDQ8PD5Vsi4jKJonw7lykREQlyNy5czFv3jxER0ejcuXKYschIiIiKhXYhiKi0oJjShERERERERERkcaxKEVERERERERERBrH2/eIiIiIiIiIiEjj2FOKiIiIiIiIiIg0jkUpIiIiIiIiIiLSOBaliIiIiIiIiIhI41iUIiIiIiIiIiIijWNRioiIiIiIiIiINI5FKSIiIiIiIiIi0jgWpYiIiIiIiIiISONYlCIiIiIiIiIiIo1jUYqIiIiIiIiIiDSORSkiIiIiIiIiItI4FqWIiIiIiIiIiEjjWJQiIiIiIiIiIiKNY1GKiIiIiIiIiIg0jkUpIiIiIiIiIiLSOBaliIiIiIiIiIhI41iUIiIiIiIiIiIijWNRioiIiIiIiIiINI5FKSIiIiIiIiIi0jgWpYiIiIiIiIiISONYlCIiIiIiIiIiIo1jUYqIiIiIiIiIiDSORSkiIiIiIiIiItI4FqWIiIiIiIiIiEjjWJQiIiIiIiIiIiKNY1GKiIiIiIiIiIg0jkUpIiIiIiIiIiLSOBaliIiIiIiIiIhI41iUIiIiIiIiIiIijWNRioiIiIiIiIiINI5FKSIiIiIiIiIi0jgWpYiIiIiIiIiISOOkYgfQBIVCgZSUFCiVSgCARCKBrq4udHR0RE5GRHkRBAFpaWlIS0uDIAgAAG1tbejp6UFLi/V0opJKqVQiJSUFCoUCQMZ3rlQqha6uLiQSicjpqDAEQUBqairS09N5HCYqRXI7Duvo6EBHR4fHYaISLC0tDampqVnfuVpaWtDT04O2trbIydSrTBallEol3rx5gzdv3iApKQlpaWm5LqetrQ0DAwMYGxujYsWKkErL5NtBVGqkpaXh1atXSEhIQFJSUlYh+X26urowNDREhQoVYGJiwgYWkYgEQUBiYiLi4uKQmJiIlJSUXJeTSCQwMDCAoaEhKlWqBD09PQ0npYJISUnBq1evkJiYiKSkpKyG8fv09PRgaGiIihUrwtDQkMdhIhEJgoD4+Hi8efMGiYmJSE1NzXU5LS0tGBgYwMjICJUqVeIFeiKRpaenIy4uDm/fvkVSUlJWIfl9Ojo6MDAwQIUKFVChQoUyd2FIIuTV2iiF0tLSEBMTg9jY2DxPZvMikUhgamoKc3NzGBgYqCkhEeUmISEBL1++RHx8fKGfK5VKYW5uDjMzszJ/FYGoJFEqlXj16hViYmLyPAH6ECMjI5ibm7OwXAJkntDGxMQgISGh0M/X1dWFubk5KlWqVOYaykQlmUKhQGxsLGJiYpCenl7o55uYmKBy5cowMjJSQzoiyktSUhJiYmLw+vXrPC/+5EVLSwtmZmYwNzcvM4XlMlGUEgQBcXFxiIqKKnQxKjeVK1dG1apV2bAiUjOFQoGoqCjExcUVe11SqRTVq1eHiYlJ8YMR0QclJiYiIiKiSMWo9xkbG6N69eplpmFV2qSlpeHp06d4+/Ztsdelq6sLa2trGBoaqiAZEX1IfHw8nj59WqRi1PsqVqwIS0tLXtwjUjOlUokXL17g5cuXxV6XlpYWLC0tUbFixVJ/ca/UF6XS09MRERGhksbUu3R1dVGjRg32miJSk7dv3yIiIkIljal3VaxYEVZWViwqE6mBIAh4/vy5ShpT79LS0oKVlRUqVqyo0vXSh8XFxSEyMlIlF/TeVblyZVSrVq3UN5KJSiKlUonIyEiVXNB7l1QqhbW1NYyNjVW6XiLKkJSUhCdPnqjkgt67jI2NYW1tXaqHIirVRanU1FQ8ePAgzzGjiksikcDGxoYHZyIVi4uLQ0REhNrWb2BggFq1avGKH5EKKZVKRERE4M2bN2rbRrVq1VClShW1rZ/+Lzo6Gs+fP1fb+itUqABra2teICBSIYVCgYcPHyIpKUlt27C2tuYFAiIVe/v2LR49elToW/UKSkdHB7Vr14aurq5a1q9upbalkJaWptaCFJBxRfjRo0dFGl+BiHL3+vVrtRakgIwrEQ8fPsxzsEAiKhxBEPDkyRO1FqQA4Pnz54iOjlbrNkj9BSkAePPmDSIiItTWACcqbxQKBR48eKDWghQARERE4PXr12rdBlF5kpCQoNaCFKCZ2og6lcqiVGaxSBNvuia3RVTWZXZb1dS2nj59yhMiIhV4/vx5kSYiKOq21F38Ks/evHmj9oKUGNsiKssEQUBERASSk5M1sr0nT56ovfhFVB6kpaWpvSAlxrZUrVQWpaKjozV2UAYyblngyS1R8WTe+qNJb9684dU+omJKTExU+RhS+VHV4L2UXXp6Op4+farRbb58+RKJiYka3SZRWfP69WuNXRjIFBERofLx5ojKE0EQ8PTpU43uR8nJyaWyx3mpK0olJyfjxYsXGt/u27dvVT6gIFF5Eh0djZSUFI1vNzIykie3REWkVCo11rvxXZkzc5JqRUZGinJbM09uiYouLS0NkZGRGt9uSkpKqTy5JSop4uLiVD4ZW0G8ePFCox14VKHUFaWePXsm6rbZqCIqvLS0NNEaNplTrxJR4cXGxop2+/rr16/Zw0aFEhMTRbstMjU1FbGxsaJsm6i0i46OFu38Izo6mkOYEBWBUqkUvW5RmpSqolRKSsoHq42enp5YsmSJ2ravUCg4zgVREbx69SrP36l7v83cPgc9JyocQRAQExOT5+81se+ykKE6H3ovNfG3jImJ4TAIRIWkUChKRBuKiArnzZs3eZ57aGK/ffv2LVJTU9W6DVWSCKWohfDs2bMPjmvx+vVrSKVSGBkZFWh9r1+/xuLFi3Hq1CkAQLdu3TBjxgxUqFAhz+cYGBigbt26hcpNVJ4JgoDbt2/neQtdYffbDRs24PTp07h9+zZ0dHRw7ty5Aj3PysoKZmZmBc5NVN69ffsWDx8+zPP3hdl3nz59ivXr1+PSpUt4+fIlqlSpgr59++Kzzz6Djo5Ons+TSCRo0KABpFJpUV4C/Sc9PR23bt3K8/eaaD8BQK1atWBsbFzg3ETlXWxs7Adv3dNEG0oqlaJBgwaQSCQFzk1U3t27dy/PyQI00X4CgMqVK8PCwqJI+TWt1PSUEgQh30q9qalpgQ/KADBt2jTcunULa9euxdq1a3Hr1i3MnDnzg89JSkoqVVVHIrElJCR8cEynwu63aWlpsLOzw9ChQwuVg1f6iAonv3EUC7PvPnjwAEqlErNnz8aePXvw7bffwt/fH6tWrfrg8wRBYA9lFcjvPdRE+wnI/zNFRNmp+tynKG2o9PR0JCQkFHh5ovIuNTX1g7NXaqL9BJSuc59Sc+kxPT0939tvPD090bBhQ0ybNg329vZwcXHB48ePceTIEVSoUAGfffYZhgwZAgC4f/8+zp49i23btqFZs2YAgLlz52LkyJF48OABateuned2kpKSoKurq7oXR1SG5TelcGH2WwCYMGECAGDv3r2FypGcnAxBEHilj6iA8hvPqTD7bqdOndCpU6es59aoUQMPHz7Erl27MHXq1A9uh9OSF58qj8PFaT9xjDCighMEId/BijXVhkpKSmIvR6ICUuV3bnHaTwqFAmlpafn2qCoJSk1PqaI0Sn19fdG4cWMEBARg2LBhWLhwIe7fvw8AuHbtGkxMTLIaVADwySefwMTEBOHh4SrPQlReFXZ/+dB+WxyCIIgy+x9RaaRUKgvdK7iw+258fDxMTU3zXS8LGcVX2PdQXe2n1NRUThhDVEApKSmFHodNXW0onvsQFZy6z30K2n4qShaxlJqiVFGmNezcuTOGDx+OmjVrwsvLCxUrVsSVK1cAAC9fvsx1fBkzM7MPDuwKlJ4/LlFJUNj95UP7bXGVtulRicSi6u/c9z158gQ7duwo0C0kRTkxo/8rSkFeXe0ngMdhooJS93G4MHjuQ1Rw6jz3KUz7CSg937mlpihVlJmz6tevn/V/iUSCypUrZ2sw5XYbT0EavpzFi6jgCru/5LffajILUXmlju/cTC9evMDnn38OOzs7DB48uEDrZu+aoivKe6eu9hPA4zBRQanzOKyJLETllbrOfYrSfiot+26pKUoV5Srp+7P1SCSSrPXk9cd+9eoVzM3NVZ6FqLwq7P7yof1W01mIyitVf+dmevHiBby8vPDJJ59gzpw5as1DGUpS+6moeYjKI3UdhzWVhai8Use5T1lvP5WaopSqByf+5JNPEB8fj7/++ivrsevXryM+Ph7NmzfXaBaisqwk7S8lKQtRSaaOfeX58+eQyWRo1KgRFixYAC2tgjdBuO8WXUlqP6kjD1FZVZL2lZKUhaikU/X+Uh7aT6Vm9r33K4jFVadOHXTs2BFz587F7NmzAQDz5s1D165dPzhzjDqyEJVlUqm00AMmf0hUVBRev36NqKgoKBQK3Lp1CwBQs2ZNGBoa5puFiPKn6n3lxYsXkMlksLS0xJQpU7JNU1y5cuUPPlcikRSqAUbZaWlpqbTHaXHaTwCPw0QFpY59pahtKO63RAWnyv2lOO0nVWdRp9KREoC+vr7K17lkyRIsWrQIY8eOBQB069YNM2fOzPd5BgYGKs9CVFYZGBiotCj166+/Yt++fVk/Z06ZKpfL0aZNmw8+Vx3HEaKySE9PT6XrO3fuHB4/fozHjx+jV69e2X73bo+b3Ojr65eaK30lkUQigb6+vkoHKi5q+wlQ/WeLqKxSR5ulqG0onvsQFZyBgQHevn2rknUVp/0ElJ5zH4lQSm40TE9Pz6rmi61mzZqoUKGC2DGISoWXL1/i2bNnYseAlpYWGjVqxJNbogK6c+dOoWdtUwczMzNYWVmJHaNUi4yMRGxsrNgxoK+vj48++kjsGESlgiAIuHnzZomY6MHCwqJAvTKICHjz5g0eP34sdgwAQMOGDUtFb6lS0x9eKpVCR0dH7BgAkO8tQkT0fyVlfzEwMGBBiqgQSsq+W1JylGYl5T0sKTmISgOJRFJieihx3yUquJKyv+jo6JSKghRQiopSAFCpUiWxI8DY2LjU/HGJSgIDAwPo6uqKHQNmZmZiRyAqFSIiIvDjjz/Cy8tL7CjQ0tJiz2QVqFChQokYl6sktOOISpOS0HbR1dUtMcUxotJAKpXC2NhY7Bgl4vhRUOK3UAqhJLyxBZnumIj+TyKRiL7faGtrw8TERNQMRCVZSkoKAgIC4OjoCBsbG/zwww+wsLCAQqEQNVelSpVKRDGltNPS0hK9IKSvr88TW6JCMjExgba2tqgZzM3N2dOcqJDEPvcBSteFoFLV0pNKpTA1NRVt+zo6OiWi6klU2lSsWFHUBo2ZmRlPbIlyce3aNUycOBFWVlYYOnQoXr9+jfXr1yMqKgo+Pj6oWbOmqPlKwsWoskLs97IkNNCJShstLS1R912JRIKKFSuKtn2i0srY2FjUoYdMTU1L1d1dpe4srVq1aqKd3FpZWfFKAVERaGtrw8LCQpRtS6VSDs5J9I7Y2FisWbMGrVq1QvPmzbFr1y54eXnhn3/+wblz5/Dpp59m3TJXsWJF0Xq3mJubc6Y2FdLT0xOtMGRgYMATW6Iiqly5smgnlxYWFqL31CIqjSQSiWiTtEgkElSrVk2UbRdVqStK6erqwtLSUuPbrVixIm//ISoGMzMzUQb+s7a2ZoOKyj2FQoGjR4/C1dUVVlZWmDhxImrUqIHg4GA8efIES5cuRaNGjXI8TyKRwNraWuMXZHR0dEpdg6o0qFatmsav3Ir1GSIqK7S1tWFtba3RbSoUCjx//pznPkTFYGJiIsoFGUtLyxIxnm9hlLqiFJBxf6SmbqNTKpVITk4WrZcHUVmReWKiqdvoBEGAQqHgLbdUrt2/fx+zZ89G7dq1YWdnh2vXruGHH37A06dPsXfvXvTv3z/fIoWenp7GC0Q1atTgLbdqoKWlhRo1amh0m7q6uuzxRlRMxsbGGr+NTyaToUePHnj69KlGt0tUllhYWCA5ORlKpVIj2zM2Ni5VY0llKpUtPolEgho1akBfX1/t20pPT8fgwYPxzTffaOzDRFRW6erqwsbGRiNXzK9evYpu3brhxIkTat8WUUmSmJiIrVu3okePHqhbty5WrlwJR0dHXLhwAX///TemTJlS6CKTubm5xm79qlGjRomZTrksMjQ01Fhhau/evejWrRv++usvjWyPqCyztLTUSM8liUSCjz76CDt27MDDhw/RokULHDt2TO3bJSprlEolpk6dChcXF6Snp6t9e/r6+qhRo0ap7JlcKotSQEZX1tq1a6t1rAupVIrGjRtj+vTpWLVqFUaMGIGUlBS1bY+oPDAyMkKtWrXUesCsUKECBg0ahHbt2sHBwQG7du1S27aISgJBEHDp0iV8/vnnsLS0xKhRoyAIAvz8/PDs2TOsX78e7dq1K/J+J5FIYGFhofbx2WrUqCHqhCblhampqdpvB6pcuTK8vLxQtWpVdO7cGadPn1br9ojKusyL8plj/qlrG7Vq1YKRkRFsbW0RFhaG5s2bw87ODgsWLOAFeqICSklJgZubG1avXo3p06fj448/VuvYcAYGBqhdu3apHbJEIgiCIHaI4lAqlXj+/DliYmJUul4jIyNYW1tn3dawe/duuLm5oVOnTti9e7davxCIyoPk5GREREQgOTlZpeutWrUqqlSpAolEgrS0NHh5eWHLli1YuXIlJk6cqNJtEYntxYsX2Lp1K+RyOf7++29YW1vDw8MDHh4eqFu3rsq3JwgC4uLiEBkZCVU2H3R0dGBtbQ0jIyOVrZPyl5CQgIiICKSlpalsnZmDu2bOuvrmzRsMGjQIZ86cwfbt2zFo0CCVbYuoPBIEAdHR0Xjx4oVK16uvrw9ra+scd6IoFAosWLAA8+fPh52dHbZu3coJZIg+4M2bNxg4cCDOnj2b7XsvLS0NERERSEhIUOn2zM3NUa1atVI97EGpL0plUlXD6v3G1LtOnz6N/v37o3bt2jh06BDHmSIqJkEQ8PLlSzx//rzY68qrMSUIAqZPn46lS5di2rRpWLRoUans1kqUKT09HYcOHYJcLseBAwegpaWFgQMHQiaToWfPnhq5SpaamoqnT5+qpGFVFhpTpZkqL+69f0EvU0pKCjw8PLBr1y6sWbMG48aNK/a2iMo7VV7cq1atGipXrvzB9tGRI0fg5uYGQ0ND+Pv7o3379sXeLlFZExUVBScnJzx8+BD79u1D586ds/1elRf3ytIFvTJTlAIyGlavX79GTExMoQ/QUqkU5ubmqFSp0ge71v31119wdHSErq4uDh8+jHr16hU3NlG5l5qaitjYWMTGxha6a7ihoSHMzc1RoUKFDzamVq5cicmTJ8Pd3R2bNm3S+AxURMV169YteHt7Z92S16JFC8hkMri5uWl8AFwgo2GVkJCAmJgYxMfHF+q5EokElSpVgpmZmUbGh6T8JScnIzY2Fq9evSp0Q9nExATm5uYwMjLK8zisVCoxZcoUrFy5Et9//z3mz5/PCwRExSQIAt68eYOYmBgkJiYW6rlaWlowMzODmZlZgWfqevLkCYYNG4YrV67g559/xpdffsn9mOg///77L+zt7ZGWlobQ0FA0adIkz2XT09Px6tUrxMTEFHq8KX19fZibm8PU1LTMXNArU0WpdyUmJiI+Ph5JSUlISkqCQqHI9nuJRAIDAwMYGBjAyMgIJiYmBT6oPn78GPb29nj58iUOHjyINm3aqOMlEJU7SqUSb968QWJiIhITE5GSkpLj5EgqlWbtu6ampoWa1Wnnzp1wd3dHz549ERAQwJn5qMSLj4+Hv78/5HI5zp07h0qVKmHkyJHw9PREixYtxI6XJTU1NWvfTUpKyrXXsp6eHgwNDWFoaIgKFSqU2nEPyjqFQpHjOPw+HR0dGBgYZP0tC3pCKwgCfv75Z3z77bfw8vLCunXr1DrGBlF5kpycjDdv3mSd+7x/oiuRSLKOw5nnPkU5oU1NTcW0adOwcuVKDBkyBJs2beKwJlTuXbp0CX369EGVKlUQGhqKmjVrFuh5giAgPj4eCQkJWfvu++c+2traWec+JiYmZXIymDJblHpX5tTwmT0wtLS0oK2tXazKfkxMDPr164dr164hKCgIDg4OqopLRP8RBAHp6ekQBAESiSRr3y2O48ePY+DAgWjYsCFCQkJQpUoVFaUlUg1BEHDmzBnI5XL4+/sjKSkJdnZ2kMlk6N+/f6noWZT5nZu572pra5eZq3nljVKphEKhUOlxeMuWLZDJZHB0dMTOnTvLZAObSGzvH4elUqlKezUFBQXB09MTlpaWCAwMRNOmTVW2bqLS5NChQ3BxcUHz5s2xf//+YvVeV0fdojQoF0UpdUlMTMTw4cOzxvYYNWqU2JGIqADCwsLg6OiIChUqIDQ0FHXq1BE7EhGePn0KX19feHt74+7du6hTpw48PT0xevRo1KhRQ+x4RCoVGhoKFxcXNGvWDPv374e5ubnYkYiokP79918MGTIEd+7cwdq1azF69GixIxFplJ+fH7y8vODk5ISdO3fCwMBA7EilEi9bFoOhoSF2794NDw8PuLu7Y+nSpSqdjYiI1KNFixY4d+4cAGRNeUwkhpSUFAQGBsLJyQk1a9bEwoULYWtri1OnTuHOnTv4/vvvWZCiMsnBwQEnT57E3bt30alTJzx+/FjsSERUSPXr18f58+cxfPhweHh4YMyYMUhKShI7FpHaCYKAJUuWYPTo0fD09ERQUBALUsXAnlIqIAgC5syZgwULFmDSpElYtmwZb1MgKgWio6PRp08f3Lp1C3v27EHPnj3FjkTlxPXr1yGXy7F161bExMSgffv2kMlkGDZsGMfmoHLlzp07sLe3R0pKCkJDQ3kLEFEpJZfLMWHCBDRs2BCBgYGoW7eu2JGI1EKpVOLrr7/GqlWrMHv2bMydO7fM316nbixKqdDatWsxYcIEDB06FL6+voUagJmIxPH27VsMGTIEx48fh5+fH4YPHy52JCqjXr16hR07dkAul+PPP/9E1apV4e7uDk9PT3z88cdixyMSzbNnz+Dk5IT79+9j37596NKli9iRiKgIwsPD4eLigpcvX8LHxwfOzs5iRyJSqZSUFLi7uyMwMBBr1qzB559/LnakMoHdeVRo3LhxCAwMxN69e+Hk5IQ3b96IHYmI8mFsbIx9+/bB1dUVrq6uWLVqldiRqAxRKpU4evQoXF1dYWlpia+++grW1tYIDg5GREQEfvrpJxakqNyzsLDAqVOn0Lp1a9jZ2SEoKEjsSERUBM2bN8eff/6Jnj17YuDAgZg6dWqus7ESlUZv3ryBk5MTgoODERgYyIKUCrGnlBr88ccf6N+/P2rVqoVDhw7BwsJC7EhElA9BEDBjxgwsWbIE3377LRYvXsyuuFRkDx48gI+PD3x8fPD48WM0bNgQXl5eGDlyJL8TiPKQmpoKDw8P7Ny5E2vWrMG4cePEjkRERSAIAlauXIlvv/0W7dq1w65du1C9enWxYxEVWVRUFBwdHfHo0SPs27cPnTt3FjtSmcKilJrcuHEDDg4O0NXVRWhoKOrXry92JCIqgFWrVmHSpElwd3fHpk2boKOjI3YkKiWSkpKwe/duyOVynDhxAiYmJhg+fDhkMhnatWvHIidRASiVSkyZMgUrV67E999/j/nz53PfISqlzp49i2HDhiE1NRU7duzg2J1UKv3777+wt7dHWloaQkND0aRJE7EjlTm8fU9NmjRpgnPnzkFfXx8dO3bE5cuXxY5ERAUwceJE7NixAzt27EC/fv3w9u1bsSNRCSYIAi5fvoxx48bB0tISI0eOhEKhgK+vL6KiorBhwwa0b9+eJ9VEBaSlpYXly5fjp59+wsKFCzFmzBikp6eLHYuIiqBjx44ICwtD8+bN0bt3byxcuBBKpVLsWEQFdunSJXTs2BEGBgY4f/48C1Jqwp5SahYbG4u+ffvi2rVrCAoKgoODg9iRiKgATpw4AWdnZzRs2BAhISGoUqWK2JGoBHnx4gW2bt0KuVyOv//+G9bW1hg9ejQ8PDzw0UcfiR2PqEzYsmULZDIZHBwcsGvXLhgaGoodiYiKQKFQYMGCBZg/fz7s7e2xdetWmJubix2L6IMOHToEFxcXNG/eHPv374eZmZnYkcosFqU0IDExEa6urjh48CA2b94Md3d3sSMRUQGEhYXB0dERJiYmOHz4MOrUqSN2JBJReno6QkNDIZfLsX//fmhpacHZ2RkymQy9evWCtra22BGJypzDhw9j8ODBaNasGfbv388TWaJS7PDhwxgxYgQMDQ0REBCAdu3aiR2JKFe+vr7w8vJCnz59sHPnThgYGIgdqUzj7XsaYGhoiKCgIHh4eGD06NFYunQpWAskKvlatGiB8+fPQyKRwNbWFmFhYWJHIhHcvn0b06dPR40aNdCvXz/cv38fy5cvR2RkJHbt2gV7e3sWpIjUxN7eHidPnsTdu3fRqVMnPHr0SOxIRFRE9vb2CAsLQ/Xq1dG5c2f88ssvPCeiEkUQBCxZsgQeHh6QyWQICgpiQUoD2FNKgwRBwNy5czF//nxMnDgRy5cvh5YW64JEJV10dDT69OmDW7duYffu3ejVq5fYkUjN4uPjERAQALlcjrNnz6JSpUoYMWIEZDIZWrRoIXY8onLnzp07sLe3R0pKCkJDQ9G0aVOxIxFREaWmpmLatGlYuXIlhg4dik2bNsHExETsWFTOKZVKTJ48GatXr8acOXMwZ84cjgmqISxKiWDdunUYP348hgwZAj8/P+jp6YkdiYjy8fbtWwwZMgTHjx+Hn58fhg8fLnYkUjFBEHDmzBnI5XIEBAQgMTERdnZ2kMlk6N+/P/T19cWOSFSuPXv2DE5OTrh//z6Cg4PRtWtXsSMRUTEEBgZCJpPBysoKgYGBHESaRJOSkgJ3d3cEBgZizZo1+Pzzz8WOVK6wKCWS3bt3w83NDR07dsSePXtQoUIFsSMRUT7S0tLw6aefws/PDytWrMCkSZPEjkQq8PTpU/j5+cHb2xt37txB7dq1IZPJ4O7ujpo1a4odj4je8ebNGwwaNAhnzpzBtm3bMHjwYLEjEVEx/Pvvv3BxccHdu3exbt06jr1LGvf69WsMHDgQ586dw44dOzBw4ECxI5U7LEqJ6I8//kD//v1hY2ODQ4cOwdLSUuxIRJQPQRAwY8YMLFmyBN988w0WL17M23BLodTUVOzfvx9yuRyhoaHQ09ODi4sLZDIZunTpwr8pUQmWmpoKDw8P7Ny5E7/++ivGjx8vdiQiKobExERMmDABPj4+GDNmDFavXs3eyaQRUVFRcHR0xKNHj7B//3506tRJ7EjlEotSIrtx4wYcHBygo6ODw4cPo379+mJHIqICWLVqFSZPnoyRI0di8+bN0NHRETsSFcBff/0FuVyOrVu34uXLl2jXrh1kMhmGDRsGU1NTseMRUQEplUpMnToVK1aswHfffYcFCxZw7A+iUk4ul2PChAlo1KgRAgICULduXbEjURl2+/ZtODg4IC0tDaGhobx9VEQsSpUAjx8/hoODA6KjoxESEoK2bduKHYmICmDXrl0YNWoUevTogcDAQBgbG4sdiXLx6tUr7NixA97e3rhy5QqqVKkCd3d3eHp6onHjxmLHI6Ji+Pnnn/HNN99AJpNh/fr1kEqlYkciomIIDw+Hi4sLXr58CR8fHzg7O4sdicqgixcvok+fPqhatSoOHz6MGjVqiB2pXGNRqoSIjY1Fv379EB4ejsDAQDg6OoodiYgK4MSJE3B2dkaDBg0QEhKCqlWrih2JkNGL4sSJE5DL5di9ezfS09PRp08fyGQyODk5sWcbURmydetWeHp6wsHBAbt27YKhoaHYkYioGF6/fg1PT0/s2bMHU6dOxY8//sjvbVKZgwcPYsiQIWjRogX27dsHMzMzsSOVeyxKlSBJSUkYPnw4QkJCsHnzZowePVrsSERUAOHh4XB0dISxsTEOHz6MOnXqiB2p3Hr48CF8fHzg4+ODR48eoWHDhpDJZBg1ahQsLCzEjkdEanL48GEMHjwYTZs2xYEDB2Bubi52JCIqBkEQsGLFCkybNg3t27fHrl27YGVlJXYsKuV8fHzw6aefok+fPti5cycMDAzEjkRgUarESU9Px/jx47Fx40YsXrwY3377LcdIICoFHjx4AHt7e7x58wYHDx5Ey5YtxY5UbiQlJWHPnj2Qy+U4fvw4jI2NMXz4cMhkMrRv357HUKJy4sqVK3BycoKZmRkOHz4MGxsbsSMRUTGdPXsWQ4cORXp6OrZv346ePXuKHYlKIUEQsGTJEsyYMQOfffYZ1qxZw9u9SxBOL1TCSKVSrF+/HrNnz8b06dMxadIkKJVKsWMRUT5q166Ns2fPombNmujatSuOHTsmdqQyTRAEXL58GePGjYOlpSVGjBiB9PR0+Pr64tmzZ9i4cSM6dOjAghRROdK6dWucO3cOaWlp6NChA65fvy52JCIqpo4dOyIsLAzNmjWDnZ0dFi5cyHMjKhSlUomJEydixowZmDNnDtatW8eCVAnDnlIl2Lp16zBhwgS4uLjAz88Penp6Ykciony8ffsWQ4cOxbFjx+Dr6wtXV1exI5Up0dHR2Lp1K+RyOW7cuIHq1avDw8MDHh4e+Oijj8SOR0QlwLNnz+Dk5IT79+8jODgYXbt2FTsSERWTQqHA/PnzsWDBAjg4OGDLli28TZfylZKSAnd3dwQGBuK3337D2LFjxY5EuWBRqoTbs2cPXF1dYWtriz179nDKcqJSIC0tDWPGjIGvry+WL1+OyZMnix2pVEtPT8fhw4chl8uxf/9+AICzszNkMhl69+4NbW1tkRMSUUkTHx+PQYMG4fTp09i2bRtcXFzEjkREKhAaGoqRI0fCyMgI/v7+aNeundiRqIR6/fo1nJ2dcf78eezcuZMzOZZgvH2vhBs4cCCOHj2KsLAwdO3aFVFRUWJHIqJ86OjowNvbG9OnT8fXX3+Nb7/9ll3Ni+Dff//FjBkzULNmTfTt2xd3797Fzz//jMjISPj7+8PBwYEFKSLKlYmJCUJCQjB48GAMHToUa9asETsSEamAg4MDwsLCYGVlhc6dO+PXX38F+1jQ+6KiotC1a1eEh4fj2LFjLEiVcOwpVUrcuHEDDg4O0NHRweHDh1G/fn2xIxFRAaxevRqTJk3CiBEjIJfLOaVxPuLj4xEQEABvb2+cOXMGFStWxIgRIyCTydCiRQuOEUVEhaJUKjF16lSsWLEC3333HRYsWMDjCFEZkJqaim+//RarVq3CsGHDsHHjRpiYmIgdi0qA27dvw97eHgqFAqGhoWjcuLHYkSgfLEqVIk+ePIG9vT2io6Nx4MABdlclKiV27doFd3d3dO/eHYGBgTA2NhY7UokiCALOnj0LuVwOf39/JCYmonfv3pDJZBgwYAD09fXFjkhEpdyyZcswdepUyGQyrF+/noPcEpURAQEBkMlkqF69OgIDA9GkSROxI5GILl68iD59+qBatWoIDQ1FjRo1xI5EBcCiVCkTGxuLfv36ITw8HIGBgXB0dBQ7EhEVwIkTJ+Ds7IwGDRogJCQEVatWFTuS6CIjI+Hn5we5XI47d+6gdu3a8PT0xOjRo1GzZk2x4xFRGbN161Z4enrC3t4e/v7+MDQ0FDsSEanA7du34eLignv37mH9+vUYNWqU2JFIBAcPHsSQIUPQokUL7Nu3D2ZmZmJHogJiUaoUSkpKwvDhwxESEoLNmzdj9OjRYkciogIIDw+Ho6MjjI2NcfjwYdSpU0fsSBqXmpqKAwcOQC6X49ChQ9DV1YWLiwtkMhm6du0KLS0OdUhE6nPkyBEMGjQITZs2xf79+1G5cmWxIxGRCiQmJmL8+PHw9fXFmDFjsHr1ava0Lkd8fHzw6aefom/fvtixYwcMDAzEjkSFwNZ/KWRgYICgoCDIZDJ4eHhg8eLFHOCPqBRo3rw5zp07B4lEgg4dOuDq1atiR9KYv/76C19//TWqV6+OwYMH4+XLl1i7di2ePXuGLVu2oHv37ixIEZHa2dnZ4dSpU7h37x46deqER48eiR2JiFTA0NAQ3t7e2LRpE/z8/GBra4v79++LHYvUTBAELFq0CJ6envDy8kJgYCALUqUQe0qVYoIgYN68eZg3bx6++uorrFixgid1RKVAdHQ0+vTpg5s3b2LPnj3o1auX2JHUIi4uDjt27IBcLseVK1dQpUoVuLu7w9PTk4NOEpGo7t69C3t7eyQlJSE0NBTNmjUTOxIRqUh4eDhcXFzw8uVL+Pr6YsCAAWJHIjVQKBSYPHkyfvnlF8ydOxezZ8/mRBalFItSZcC6deswYcIEuLi4wM/PD3p6emJHIqJ8JCQkYMiQITh27Bh8fX3h6uoqdiSVUCqVOHnyJORyOXbv3o20tDQ4OTlBJpPByckJurq6YkckIgIAPH/+HE5OTrh79y6Cg4PRrVs3sSMRkYrExcXB09MTe/fuxTfffIMffviBMyCXISkpKRg1ahSCgoLw22+/YezYsWJHomJgUaqM2LNnD1xdXWFra4s9e/bA1NRU7EhElI+0tDSMGTMGvr6+WL58OSZPnix2pCJ79OgRfHx84O3tjUePHqFBgwaQyWQYNWoULC0txY5HRJSr+Ph4DBo0CKdPn8a2bdvg4uIidiQiUhFBELBixQp8++23sLW1xc6dO2FlZSV2LCqm169fw9nZGRcuXMCOHTvg7OwsdiQqJhalypAzZ86gX79+sLGxwaFDh3giSFQKCIKAmTNnYvHixZg6dSqWLFlSam7DTUpKwp49e+Dt7Y3jx4/DyMgIw4YNg0wmQ4cOHdiFmohKhdTUVHh4eGDnzp345ZdfMGHCBLEjEZEKnTlzBsOGDUN6ejp27NiBHj16iB2JiigyMhKOjo54/Pgx9u/fj06dOokdiVSgdJz5UIF06tQJf/zxB16+fAlbW1vcvn1b7EhElA+JRIJFixZh1apVWLZsGUaPHo3U1FSxY+VJEARcuXIF48ePh6WlJUaMGIHU1FR4e3sjKioKmzZtgq2tLQtSRFRq6OrqYuvWrZg8eTK++OILfPfdd5xAhqgM6dSpE8LCwtC0aVP07t0bP/zwA5RKpdixqJBu374NW1tbxMbG4syZMyxIlSHsKVUGPXnyBPb29njx4gVCQkLQrl07sSMRUQH4+/tj1KhR6NatGwIDA2FiYiJ2pCzR0dHYtm0b5HI5/vrrL1hZWcHDwwMeHh6oV6+e2PGIiFRi2bJlmDp1Kjw9PbFhwwZIpVKxIxGRiigUCsybNw8LFy6Eg4MDtmzZAnNzc7FjUQFcvHgRffr0QbVq1RAaGooaNWqIHYlUiEWpMio2Nhb9+/dHWFgYAgIC4OTkJHYkIiqAEydOwNnZGQ0aNEBISAiqVq0qWpb09HQcOXIEcrkc+/btAwAMGDAAMpkMdnZ20NbWFi0bEZG6bNu2DR4eHrC3t8euXbtgZGQkdiQiUqHQ0FCMGDECxsbGCAgIQNu2bcWORB8QEhKCoUOHokWLFti3bx/MzMzEjkQqxtv3yigzMzMcPXoUvXr1Qv/+/eHj4yN2JCIqgB49euD06dOIiIiAra0t7t27p/EMd+7cwcyZM2FjY4M+ffrgzp07+PnnnxEZGYmAgAA4OjqyIEVEZdaIESMQEhKCU6dOoWfPnnj58qXYkYhIhRwcHBAWFgZLS0t06tQJv/76K2/ZLaG8vb0xYMAA9O7dG0ePHmVBqoxiUaoMMzAwQFBQEGQyGTw9PbF48WIecIlKgebNm+PcuXPQ0tKCra0trl69qvZtvn37Ft7e3ujcuTPq16+PtWvXYuDAgfjzzz8RHh6Or776CpUrV1Z7DiKiksDOzg6nTp3C/fv30alTJzx8+FDsSESkQjVr1sTp06cxbtw4fPnll3Bzc0N8fLzYseg/giBg0aJFkMlk8PLyQmBgIAwMDMSORWrC2/fKAUEQMG/ePMybNw9ffvklVq5cWWpm9yIqz6Kjo9GnTx/cvHkTe/bsQa9evVS6fkEQcO7cOcjlcuzatQuJiYno1asXZDIZnJ2doa+vr9LtERGVNnfv3oW9vT2SkpIQGhqKZs2aiR2JiFQsICAAMpkM1atXR1BQEBo3bix2pHJNoVBg0qRJ+PXXXzF37lzMnj2bE+iUcSxKlSPr1q3DhAkT4OLiAj8/P+jp6YkdiYjykZCQgCFDhuDYsWPw8fGBm5tbsdcZFRUFPz8/yOVy/Pvvv6hVqxY8PT0xevRo2NjYqCA1EVHZ8fz5czg5OeHu3bsIDg5Gt27dxI5ERCp2+/ZtuLi44P79+1i3bh1GjRoldqRyKTk5Ge7u7ggKCsJvv/2GsWPHih2JNIBFqXJmz549cHV1RYcOHbB3716YmpqKHYmI8pGWloYxY8bA19cXy5Ytw9dff13odaSmpuLAgQPw9vbGoUOHoKOjg8GDB0Mmk6Fbt27sPUlE9AHx8fEYNGgQTp8+jW3btsHFxUXsSESkYomJiRg3bhz8/Pzw2WefYdWqVew1rkGvX7+Gs7MzLly4gB07dsDZ2VnsSKQhLEqVQ2fOnEG/fv1gY2ODQ4cOwdLSUuxIRJQPQRAwc+ZMLF68GFOnTsWSJUsKVEi6ceMG5HI5tmzZgpcvX6Jt27bw9PTE8OHDUbFiRfUHJyIqI1JTU+Hh4YGdO3di9erV+OKLL8SOREQqJggCNm/ejC+++AIff/wxAgMDUadOHbFjlXmRkZFwdHTE48ePsX//fnTq1EnsSKRBLEqVUzdu3ICDgwOkUikOHz6MBg0aiB2JiApg9erVmDRpEtzc3CCXy6Grq5tjmbi4OOzcuRNyuRyXL19GlSpVMGrUKHh6eqJJkyYipCYiKhuUSiW++eYbLF++HDNnzsTChQs51glRGRQWFgYXFxfExMTAz88P/fv3FztSmXX79m3Y29tDoVAgNDSUY3qVQyxKlWNPnjyBvb09Xrx4gZCQELRr107sSERUAP7+/hg1ahS6deuGwMBAmJiYQKlU4tSpU5DL5QgKCkJqaiqcnJwgk8nQp0+fXItXRERUNMuWLcPUqVPh6emJ9evXQ0dHR+xIRKRicXFx8PT0xN69e/Htt9/ihx9+gFQqFTtWmXLx4kX06dMH1apVQ2hoKGrUqCF2JBIBi1LlXGxsLPr374+wsDAEBATAyclJ7EhEVAAnTpyAs7MzbGxs4OTkBH9/fzx8+BD169eHTCbDqFGjYGVlJXZMIqIya9u2bfDw8ICdnR38/f1hZGQkdiQiUjFBELB8+XJMmzYNtra22LVrF4c+UZGQkBAMGTIErVq1QnBwMMzMzMSORCLhyLblnJmZGY4ePYpevXqhf//+8PHxETsSEeUjOTkZz58/R+PGjXHjxg389NNPaNOmDc6ePYtbt25h2rRpLEgREanZiBEjEBISgt9//x09e/bEy5cvxY5ERComkUgwZcoUnDp1Cnfv3kWLFi1w8uRJsWOVet7e3hgwYADs7Oxw5MgRFqTKORalCAYGBggKCoKXlxc8PT2xePFisAMdUckiCAL+/PNPTJgwAZaWlnBzc4OOjg6WLl2KOnXq4Pfff4e+vj7HNiEi0iA7OzucOnUK9+/fR6dOnfDw4UOxIxGRGnTq1AlhYWFo3LgxevXqhR9//BFKpVLsWKWOIAhYtGgRZDIZvLy8EBgYCAMDA7Fjkch4+x5lEQQB8+bNw7x58/Dll19i5cqVnCaeSGQvX77Etm3bIJfLcf36dVhZWWH06NHw8PBA/fr1AQDR0dHo27cv/vnnH+zZswe9evUSOTURUfly9+5d2NvbIykpCaGhoWjWrJnYkYhIDRQKBebNm4cFCxbAyckJW7ZsYS+fAlIoFJg0aRJ+/fVXzJ07F7Nnz+bFVALAohTlYv369Rg/fjxcXFzg5+cHPT09sSMRlSvp6ek4cuQIvL29ERwcDADo378/ZDIZ7Ozsch1kMyEhAUOGDMGxY8fg4+MDNzc3TccmIirXnj9/DicnJ9y9exfBwcHo1q2b2JGISE0OHTqEkSNHwsTEBAEBAWjTpo3YkUq05ORkuLu7IygoCGvXrsVnn30mdiQqQViUolzt3bsXw4cPR4cOHbB3716YmpqKHYmozLtz5w68vb3h6+uLyMhING3aFDKZDCNGjECVKlXyfX5aWhrGjBkDX19fLFu2DF9//bUGUhMRUab4+HgMGjQIp0+fxrZt2+Di4iJ2JCJSk8ePH2PIkCEICwvDihUrMH78ePb8ycXr16/h7OyMCxcuYMeOHXB2dhY7EpUwLEpRns6cOYN+/frBxsYGhw4d4kwTRGrw9u1bBAYGQi6X448//oCpqSlGjBgBmUyGli1bFrpxIwgCZs6cicWLF2Pq1KlYsmQJb8MlItKg1NRUeHh4YOfOnVi9ejW++OILsSMRkZqkpqZi6tSp+OWXXzB8+HBs3LgRxsbGYscqMSIjI+Ho6IjHjx9j//796NSpk9iRqARiUYo+6MaNG3BwcIBUKsXhw4fRoEEDsSMRlXqCIOD8+fOQy+XYtWsXEhIS0LNnT8hkMjg7O6tkwMfVq1dj0qRJcHNzg1wuh66urgqSExFRQSiVSnzzzTdYvnw5Zs6ciYULF7IHBVEZ5u/vDy8vL1hbWyMwMBCNGzcWO5Lobt++DXt7eygUCoSGhvI9oTyxKEX5evLkCezt7fHixQuEhISgXbt2YkciKpWioqKwZcsWyOVy3L59GzY2NvD09MTo0aNRq1YtlW/P398fo0aNQrdu3RAYGAgTExOVb4OIiPK2bNkyTJ06FZ6enli/fj10dHTEjkREanL79m0MHjwYDx48wPr16zFy5EixI4nm4sWL6NOnD6pVq4bQ0FDUqFFD7EhUgrEoRQUSGxuL/v37IywsDAEBAXBychI7ElGpkJaWhpCQEMjlchw8eBA6OjoYPHgwZDIZunXrpvZb606cOAFnZ2fUr18fBw8eRNWqVdW6PSIiym7btm3w8PCAnZ0d/P39YWRkJHYkIlKThIQEjBs3Dlu2bMHYsWOxcuVK6Ovrix1Lo0JCQjBkyBC0atUKwcHBnJ2Q8sWiFBVYUlIShg8fjpCQEGzatAkeHh5iRyIqsf7++2/I5XJs2bIF0dHRaNOmDWQyGYYPH46KFStqNEt4eDgcHR1hZGSEw4cPo27duhrdPhFReXfkyBEMGjQITZo0wYEDB1C5cmWxIxGRmgiCgE2bNuHLL79E48aNERgYiNq1a4sdSyO8vb0xZswY9O3bFzt27FDJkBRU9nH0WyowAwMDBAUFwcvLC56enli0aBFY0yT6v9evX2P9+vVo164dmjRpAj8/P4wcORLXr1/HpUuX8Pnnn2u8IAUAzZs3x7lz56ClpQVbW1tcvXpV4xmIiMozOzs7nDp1Cvfv30enTp3w8OFDsSMRkZpIJBKMGTMG58+fR1xcHFq2bIl9+/aJHUutBEHAjz/+CJlMBi8vLwQGBrIgRQXGohQVilQqxbp16zBnzhzMnDkTEydOhEKhEDsWkWiUSiVOnDiBUaNGwcLCAuPHj0eVKlUQFBSEp0+fYvny5WjatKnYMVG7dm2cPXsWtWrVQteuXXH06FGxIxERlSutW7fGuXPnkJaWBltbW1y7dk3sSESkRi1atMCff/6Jrl27YsCAAZg2bRrS09PFjqVyCoUCX331Fb777jvMnTsX69atg1QqFTsWlSK8fY+KbP369Rg/fjwGDx6MLVu2QE9PT+xIRBrz+PFj+Pj4wNvbGw8fPkT9+vUhk8kwatQoWFlZiR0vTwkJCRgyZAiOHTsGHx8fuLm5iR2JiKhcef78OZycnHD37l0EBwejW7duYkciIjUSBAHLli3D9OnT0bFjR+zcuROWlpZix1KJ5ORkjBo1Crt378batWvx2WefiR2JSiEWpahY9u7di+HDh6NDhw7Yu3cvTE1NxY5EpDbJycnYu3cv5HI5jh07BkNDQwwbNgwymQy2tralZrrvtLQ0jBkzBr6+vli2bBm+/vprsSMREZUr8fHxGDRoEE6fPo2tW7diyJAhYkciIjX7448/MGzYMCiVSuzYsQPdu3cXO1KxvH79Gs7Ozrhw4QJ27NgBZ2dnsSNRKcXb96hYnJ2dcezYMYSHh6NLly6IjIwUOxKRSgmCgKtXr+KLL76ApaUlXF1dkZSUhM2bN+PZs2fYvHkzOnbsWGoKUgCgo6MDb29vzJgxA1OmTMHUqVOhVCrFjkVEVG6YmJggJCQELi4uGDZsGH799VexIxGRmnXu3BlhYWFo3LgxevXqhUWLFpXa9ldkZCS6dOmC8PBwHD16lAUpKhb2lCKV+Pvvv+Hg4ABtbW0cPnwYDRo0EDsSUbHExMRg27ZtkMvluHbtGiwtLTF69Gh4enqifv36YsdTmV9++QUTJ06Em5sb5HI5dHV1xY5ERFRuKJVKfPPNN1i+fDlmzpyJhQsXlqqLHERUeAqFAnPnzsXChQvRp08f+Pn5wczMTOxYBXb79m3Y29tDoVAgNDQUjRs3FjsSlXIsSpHKPHnyBA4ODnj+/DlCQkLQrl07sSMRFYpCocDRo0chl8sRHBwMQRDQv39/eHp6wt7evswO2ujv749Ro0ahW7duCAwMhImJidiRiIjKlWXLlmHq1Knw9PTE+vXroaOjI3YkIlKzQ4cOYeTIkTAxMUFAQADatGkjdqR8Xbx4EX369EG1atUQGhqKGjVqiB2JygAWpUilYmNj0b9/f4SFhSEgIABOTk5iRyLK1927d+Ht7Q1fX188ffoUTZo0gZeXF0aMGIEqVaqIHU8jTp48iQEDBqB+/fo4ePAgqlatKnYkIqJyZdu2bfDw8ICdnR38/f1hZGQkdiQiUrPHjx9jyJAhCA8Px4oVKzBu3LgS21syJCQEQ4YMQatWrbBv3z5UqlRJ7EhURrAoRSqXlJSE4cOHIyQkBJs2bYKHh4fYkYhySEhIQGBgIORyOU6fPg1TU1O4ublBJpOhVatWJbZBoE7h4eFwdHSEkZERDh8+jLp164odiYioXDly5AgGDRqEJk2a4MCBA6hcubLYkYhIzVJTUzF16lT88ssvcHV1xYYNG2BsbCx2rGy8vb0xZswY9O3bFzt27ICBgYHYkagM4UDnpHIGBgYICgqCl5cXPD09sWjRIrD2SSWBIAg4d+4cxowZAwsLC3h4eEBHRwfbtm1DVFQUfvvtN7Ru3bpcFqQAoHnz5jh37hy0tLRga2uLq1evih2JiKhcsbOzw6lTp3D//n106tQJDx8+FDsSEamZrq4uVq9ejZ07d2L//v1o27Yt/vnnH7FjAchoO//444+QyWTw8vJCYGAgC1KkcixKkVpIpVKsW7cOc+bMwcyZMzFx4kQoFIocy6WlpWH8+PF48eKFCCmpvHj27BmWLl2KRo0aoWPHjjh69CimTp2KBw8e4NixY3Bzc+MX7H9q166Ns2fPolatWujatSuOHj2a63IXL17EokWLNJyOiKjsa926Nc6dO4e0tDTY2tri2rVruS63f/9+bN68WcPpiEhdhg0bhsuXL0NLSwtt2rTBtm3b1L7NFy9eYPz48UhLS8vxO4VCga+++grfffcd5s6di3Xr1pXZ8VVJXCxKkdpIJJKsA9iaNWvg6uqKlJSUbMukp6fDz88P69atEykllVVpaWnYu3cv+vfvD2tra8yePRutWrXCsWPHcP/+fcyZMwe1atUSO2aJVKVKFZw4cQKdO3dGnz59sH379hzL3Lt3DzNnzsS9e/dESEhEVLZ99NFHOHfuHCwtLdGlSxecOnUqxzLh4eGYNGkS3r59q/mARKQWDRs2xMWLFzF48GCMHDkS48aNQ3Jystq2t3btWvj5+SE9PT3b48nJyRg+fDh+++03rF+/HnPmzCm3dxKQ+rEoRWo3duxYBAUFYd++fXBwcMDr16+zfmdgYIDhw4dj8+bNufakIiqsv//+G1OnToW1tTUGDhyIqKgo/PLLL4iKisK2bdvQs2dPaGnx0JcfIyMjBAcHw83NDSNGjMDy5cuz/d7Z2Rmmpqa8Sk9EpCbVqlXDqVOn0LZtW9jb2yMgICDb793d3ZGQkIBdu3aJlJCI1MHIyAi+vr7YsGEDvL290alTJzx48EDl21EoFNi8eTNcXV2z3THw+vVrODo64sCBAwgKCsJnn32m8m0TvYtnZqQRzs7OOHbsGMLDw9GlSxdERkZm/W7MmDF4/PhxnrcJEeXn9evX2LBhA9q3b48mTZrAx8cHbm5uuHbtGi5fvoxx48ZxhpAi0NHRgbe3N2bMmIEpU6Zg6tSpUCqVAABDQ0OMHDkS3t7euXb5JiKi4jMxMUFISAhcXFwwbNgw/Prrr1m/s7Gxgb29PTZu3ChiQiJSB4lEgjFjxuDcuXOIjY1Fy5YtsX//fpVu48iRI3jy5AnGjBmT9VhkZCS6dOmC8PBwHD16FM7OzirdJlFuWJQijenUqRPOnDmD2NhY2Nra4vbt2wCAtm3bomnTpti0aZPICak0USqVOHnyJEaNGgVLS0uMGzcO5ubmCAwMRGRkJFasWIFmzZqJHbPUk0gk+PHHH7F69WosX74c7u7uSE1NBZBRUH727BkOHjwockoiorJLV1cXW7ZsweTJk/Hll1/iu+++y5pAZsyYMbh48SL++usvkVMSkTq0bNkSV69eRdeuXdG/f39Mnz49x612RbVp0yY0a9YMbdq0AQDcvn0btra2iI2NxZkzZ9CpUyeVbIcoPxKB06KRhj158gQODg54/vw5QkJC0K5dO6xevRpTpkxBREQEqlWrJnZEKsEeP34MX19feHt748GDB6hXrx5kMhlGjRqF6tWrix2vTPP398eoUaPQrVs3BAYGwsTEBG3atEG1atVw4MABseMREZV5y5Ytw9SpU+Hh4YENGzZAEATUqFEDw4cPx6pVq8SOR0RqIggCfv75Z8yYMQMdO3bEzp07YWlpWeT1PX/+HNbW1li+fDm+/PJLXLhwAX379kW1atUQGhqKGjVqqDA90YexKEWiiI2NRf/+/REWFgZ/f3906NABVlZWWLBgAb755psPP1lQAslXgOTLQPKfQNIlQBELIBWAHiC1AAzaAvqtAIP2gF4TTbwkUqPk5GQEBwdDLpfj6NGjMDQ0xNChQyGTydCxY0cOvKhBJ0+exIABA1C/fn2EhIQgODgY48aNw6NHj2Btbf3hJyveAEl/ZOy3yVeAlL8AZSIAAZDoA7oNAYM2/+27nQFpFY28JiKi0mTbtm3w8PCAnZ0d/P39MX/+fGzcuBGRkZHQ19f/8JPTo/9/HE66DKTeAoRkABJAyxDQawrot/7vONwF0DbRyGsiog8QBCD1byDpAqIeHED0kxBUNVPC3MwYOjpGgLbZ/8999Ntk7MOSD98QtXTpUsyePRtRUVE4d+4chgwZglatWmHfvn0c8oI0jkUp0ognT54gNTUVdevWzXosKSkJrq6uOHDgADZu3Ihjx47hypUruHXrVu5FBsUr4LUv8OoXIO0+AAkAbQC5dWHVAfDfODd6zYFKXwEVhmU0uKjUCAsLg1wux7Zt2/Dq1St07NgRMpkMQ4YMgYkJG8rqJggCwsPDUbduXVSoUCHr8fDwcDg6OsLIyAiBgYHo2LEjpk+fjlmzZuW+ouS/gLjfgNc+/538SAEo//v3rnf3aSlgMgSoNAEwsAVYeCSicigtLQ3Xr1/Hxx9/nG0g4iNHjmDw4MFo3LgxVq1ahfbt22Pbtm1wc3PLuRJBAJLOAa/WAPEByDrGQgHg/dMArf/+pQMSA8DUA6g4DtBvqqZXSER5UiYCb3YCr1YDKdf+e1CK3M993tmndeoAlb4ETEcD2jkLTIIgoEGDBmjbti169uyJMWPGoF+/fti+fXu248y9e/egq6vLXlOkdixKkUYMGDAA+/btQ926dWFnZwd7e3t0794dhoaGmDBhAjZs2IBPP/0UmzZtwqlTp9C1a9f/P1lIB2KXAS/nAEJq5oOF2LoWACWgZQpUXZlxgOYJbokVExODbdu2QS6X49q1a7C0tIS7uzs8PT3RoEEDseOVK9HR0ahevTqUSiU6dOgAe3t72NnZoVWrVnjy5Ans7e0RFxeHDh06IDw8HPfv388+s2HaU+DZZ0DCQeTdiPqQ/56j3waw9AH0PlbZayMiKg2uXr2KVq1aQV9fH126dMlqQzVu3BhXr16Fo6MjzMzMULFiRRgYGODkyZPZV5DyDxDlkdG7vDjHYaM+gMV6QIe3yROpnSBkXIh/MQlQvkbWuUyB/XeeI9EFKs8DzKYAEmnWb0+dOoXu3btnnXuNHTsWa9asQUJCAk6cOIEjR47g8OHDuH//PgYMGIC9e/eq7rUR5YJFKdKIhIQEHD9+POsgd/fuXUilUnTo0AG9e/fGkydPsHHjRpiamqJv377YunVrxhNT/gEi3YGUqyhcISo3kox1GDkCFhvZsCpBFAoFjh49CrlcjuDgYCiVSvTv3x8ymQz29vaQSqX5r4TU4tGjRwgNDcXhw4dx/PhxvHnzBmZmZujVqxdsbW3h4+OD27dvIykpCYcPH4adnd3/G1PPvwSEJGRcuSsOKQAJUGVBjoYVEVFZd/Pmzazj8O+//47k5GRYWVnBzs4On3zyCVatWoW4uDjExcXh33//Rb169f5/QS/6+//WUtyBkbUzek5Z/ApUcOfFPSJ1SXsKPPsUSAhF1rlLsUgAvZaA1RZArxEAYMSIEQgJCcHr16/x2WefwdraGkePHsX58+eRnp6Ojz76CPb29rC3t0ePHj1gZGRU3FdF9EEsSpEo7t+/n1WgOn78OOLj42FkZISEhARoaWkhMjIS1YwuA08HZ4whVezG1Lu0AS0ToMZRwKC1CtdLhXX37l34+PjA19cXERERaNy4Mby8vDBixAhUrVpV7Hj0nrS0NFy6dAmHDx/GkSNHcOnSJQiCAGNjY7x9+xbt2rXDhfNnMnpHvfaGahpT75IAhr0A6z2AFhtIRFT+JCcn448//shqQ/3111+QSCTQ09NDcnIyXF1dsX3rRiDCGUg8DpUfgyEApjLAYgMg0VbhuokISZeBJ3aAMh7Fv6D3LmnGGFPVd+PZ21ZZveAzz70qVKiAnj17ws7ODnZ2dqhTp44Kt02UPxalSHRpaWm4ePEiDh8+jF27duHOnTs4G/oNbG2WI6Orqjo+otqARA+oeQIwaKeG9VNeEhISEBQUBLlcjt9//x0VKlSAm5sbZDIZWrduzUHLS5HY2FgcO3YMoaGh8Pf3h0SiRPyt/kC8P9Sz3wKAFmDQAahxhGPEEVG5FxkZiaNHj+LAgQMIDg6GTc0quHOsFpB8AYW73acwJIDJMMBqKwtTRKqSdBF43AMQUqDaglQmCQAtnH00GZ0cfka9evUwfPhw2NnZoV27dtDR0VHDNokKhkUpKnHS409B+rQ3ch+AU5W0AS1joNZlQLeeGrdDgiDgwoULkMvl2LVrF+Lj49GzZ094enpi4MCBMDRkcaG0EwQBQtQX0HqzFurdbwFACzCyB6wP5Du7DBFReaFUpEPytB8kiUegvoJUJglQcQJg8Yuat0NUDqT+CzxsAygToJ6CVKaMCWXSqx+F1KSbGrdDVDgsSlHJoogHHjQC0qOg/gYVAEgzpk+1OcurfWrw7NkzbNmyBXK5HLdu3ULNmjXh6emJ0aNHo3bt2mLHI1V6ewiIcNLsNqutASqN1+w2iYhKqldrgOdfaHab1ocAYwfNbpOoLBEUwCNbIPkqVDtcSV60AKkVUOdmxsV5ohKARSkqWZ6NA+I2QDMFqXdUXQaYfa3ZbZZRaWlpOHjwIORyOUJCQiCVSjFo0CDIZDL06NEj++xsVDYo4oD7DQFFNDS670r0gdr/ALoscBJROZd6H3jQGBCSNbhRLUC7KlDnFqBtqsHtEpUhMcuA6Kka3qgWUHEsYPGbhrdLlDsWpajkSLoAPOogzrYlukCdu4BODXG2Xwb8888/8Pb2hp+fH168eIFWrVpBJpPB1dUVlSpVEjseqdOzCUDceqi3y3lupIBhd6DmEQ1vl4iohHlsBySehGZ6WrxLG6j4ecasfERUOGlPgPsfAUKqONu3OQ8YtBdn20TvYJcFKjliVyBj6ncRCIr/TqqpMF6/fo0NGzagffv2aNy4Mby9veHm5oZr167hypUrGD9+PAtSZZ0iDni9GZovSAFAOpB4FEi5KcK2iYhKiJSbGcdCjRekAECR8R2giBNh20SlXNy6jHMQUUiB2JUibZsoOxalqGRIfwbEB6GgDSpBAD6bDZi1BySNgPBin5MqgFdrxbtSUYoolUqcOnUK7u7usLS0xLhx42Bubo7AwEA8ffoUK1asQLNmzcSOSZry2rfA+43q91sAkGY06oiIyqu4tSjoRT21HIeFFOC1nwpWRFSOKFOAV+tQ0It6qt930zPOvdKfFXdFRMXGohSVDK99UJgZu0L/AHz2AgfWAlGngSb/TZ53LgzQbgw4jClCBmUsEB9chCeWD0+ePMHChQtRr149dO/eHefPn8esWbPw+PFjhISEYPDgwdDT0xM7Jmnaq4KPR/D+fvuzd0bDKvOfefuMfff67cIESAfiNmc07oiIyhtlMhAnR0Ev6qml/QRkDLJORAX3dl/GuUcBqaMNJUD53zkYkbhYlKKSIfEUClOUuvcEsKwM2LYALKoA0v8uEMqDgC9HAGeuAo8jCxtCB0j6o7BPKtNSUlLg7+8PBwcH2NjYYNGiRejSpQtOnz6Nf//9FzNmzED16tXFjkliSX8JpP2Lgu67OfZbbcChc0bjKuo0cNw747G+4wqZQ0gAUq4XOj4RUamXcj3jGFhA6mk/CRnfBYqYwj6RqPxKPA1Ap8CLq6MNpVQqEROxp/DZiVSMRSkSnyAASZdQ0BNbjxnAlwuBx1EZVwZq9cx4PCER8A8FxrkCfbsCPoU+xqZlDLZOCAsLw5dffgkrKysMGzYMb9++xcaNG/Hs2TN4e3ujc+fOkEgkYscksSX/WeBF89pv9XQzGlcWVYDmjYBpnwJPooDogl88BCABkq8UKjoRUZmQfAVAwb6P1dd+ysxS8O8EonIv+QKAtAItqq42lLYWgKRLWLx4EZRKDc98TvQOFqVIfOkRgPJVgRdfNROY/yVgbZFxZeByQMbjuw4BDWpn/BvZD/Dek1HvKpSU64AgxkCh4ouJicEvv/yCFi1aoGXLlggMDMSYMWNw69YtnDlzBl5eXjAxMRE7JpUkyX8C0C7Qonntt+96mwBsOwB8VBMwr1iYINo8GSKi8kkFx2GVtJ94HCYqOCEdSPmrwIursw1lXhH4deVMDBgwAK9eFfx8jEiVRJrqjOgdaY8LtbipCWBilFHdt6jy/8c3B2U0poCM7qxvE4Hj54FetoVYuZACKKIBqWWhMpVWCoUCx44dg1wux969e6FUKtGvXz8sWLAADg4OkEp5iKAPSH+Egl6hz2u/PXAKMG6V8f+ERMCySsZ4CVqFumSSDqQ9KMwTiIjKhrSHKOh4UmptP0HrvyxElC9FdMY5RwGptw0F+G9bir5DFqFly5YICAhA69atC7cComJiTykSn5BU7FXcfgBc+gsY7pTxs1QKDHME5LuLsDJlcrHzlHT37t3DrFmzUKtWLTg4OODvv//GokWL8PTpU+zevRt9+/ZlQYryp0xGYcaCy033tkD47ox/F3cBdh0Bx7HAo6eFzZJYrBxERKWSsuDjSeVGde0nZbloPxGphIr2FVW1oWzbt0RYWBiqVKmCjh07Yu3atRAK312SqMh41kklQMG6nX/I5kAgPR2o3u3/jwkCoCMFXr0GKpkWYmWSsrlbJCQkICgoCHK5HL///jsqVKgANzc3yGQytG7dmmNEUeFJtFHQnlJ5MTIEPrL5/8+tGgOmbYGNAcDCSYXJUjb3WyKiD5IUrw2luvaThMdhooIq5n6bSWVtKGjDxsYGf/zxB6ZMmYLx48fj7NmzWLduHYyNjVWSlehD+O1B4tMq3jhF6emA3z5g2TTA7r2u5oMnZtxf/cWIwuQpOwdfQRBw8eJFyOVy7Ny5E/Hx8ejRowe2bt2KgQMHwtDQUOyIVJppmaC4Ran3SSSAlgRIKniv9owMWoWpPBMRlRFaFYv8VNW2nyRlqv1EpFbFPPfJS9HaUAC0M/Lo6enh119/RadOnfDpp5/i6tWrCAoKQqNGjVQflugdLEqR+PQaIeNO0qLN+nDgVMbVPK/BGfdcv8vFPmOshAI3qrSrAtqVipSjJHn+/Dm2bNkCuVyOmzdvokaNGpg8eTI8PDxQu3ZtseNRWaHXBAWdOSYvKanAs+iM/796A/y6LWM8k37dC7MWKaDXtFg5iIhKJb2mQMJRFOVYrNL2E9J4HCYqKO1KgHaVjLGlikE1bSgtQDd70Wn48OH45JNP4OLigjZt2mDDhg1wc3MrVlaiD+GYUiQ+LSNAp26Rn745COjVIWeDCgAG9wbCbwJX/y5QEMCgXZFziC0tLQ3BwcFwdnZG9erV8f333+OTTz7BkSNH8ODBA8ybN48FKVIt/VbFXkXoH4Bll4x/7YYBl28AASuBbm0Ls5Y0lWQhIip19FuhqBcHVNd+ejcLERWIfjsU91RcJW0onY8ArZx3TjRq1AiXLl2Cs7MzRowYgfHjxyMlpbBdsIgKRiJwFDMqCSLdgTc7UNAZZNRDG6g8O+NfKXLz5k3I5XL4+fnhxYsXaNWqFWQyGVxdXVGpUunv9UUlmJAK3DZGcXtLqUSd+4Aui65EVM6k3gfuF/3CnuroAA3eAhJdsYMQlQ4v5wEvFwBQiBhCClRwA6x881xCEARs2LABX331FZo1a4aAgADUqlVLcxGpXGBPKSoZTAZC3IIUACgAY2eRMxTMmzdvsHHjRnTo0AEff/wxvL294erqivDwcFy5cgXjx49nQYrUT6ILGDtB3DvBtQDdxoBOLREzEBGJRKc2oPsxVD2+X+FIM74LWJAiKjjjgRC3IAUA6YCJ8weXkEgkGDt2LM6dO4eYmBi0bNkSBw4c0Ew8KjdYlKKSwbgfoF1NxADagH4HQL+ZiBk+TBAE/P777xg9ejQsLCzw+eefo1KlSggICMDTp0+xcuVKfPLJJ2LHpPKm0hcQt6AsAGZfZYzuSURU3kgkQKWvRA6RDlT6UuQMRKWMfjNAvz1EPR3Xtsg4ByuAVq1a4c8//0SnTp3Qr18/zJw5E+npYncooLKCRSkqGSRSoNIEiPeRVABmJbNBFRERgR9++AH16tVDt27dcPbsWXz//fd49OgRDh48CBcXF+jp6Ykdk8orwx6ATh2IdpVeYpjR9ZyIqLwyHQFIDETauCRjXFDDHiJtn6gUq/QlijrRU/FpZZx7SQre271SpUrYu3cvlixZgqVLl6J379549uyZGjNSecExpajkUMQA9+oDylcANPmx1AZ06wO1w0tM1/OUlBQEBwdDLpfjyJEjMDAwwNChQyGTydCpUydI2CuESpI3O4FIVxE2LAEqLwQqzxRh20REJcjLH4CXs6DZ9tN/rHYCFYZpfrtEpZ2QCjxoDqT+C83eyqeVMQNgnX8BbbMireH06dMYNixjv9+5cye6du2qyoBUzrCnFJUc2uaA5SZovkElAFZbS0RBKjw8HF999RWsrKwwbNgwxMfHY+PGjXj27Bm8vb3RuXNnFqSoRElOTsa3C//E3uOAQqnJz6YU0GsGmH+rwW0SEZVQ5t9mHBOhrbFNKpQS7DkGTPvhTyQnJ2tsu0RlhkQXsNoCzZ/7KAGLTUUuSAFAly5dEBYWhkaNGqFHjx5YsmQJlEqxen1RaceiFJUsJgMBk+HQXKNKApjPBPRbamh7OcXGxuLXX39Fy5Yt0aJFC/j7++PTTz/FzZs3cfbsWXh5ecHEJJf5molEduXKFbRq1QqrVq3G49SZ0JKaQKNfK1ZbC9XtnIiozJLoAJZboLlbqbWgJa2AJ2kzsXLlKrRq1QpXrlzR0LaJyhD9VhnnIhrbd7UzzrXyGeC8ICwsLHDkyBFMnz4d06dPh7OzM169elX8iFTusChFJY/FOkCvCdRfmNICjByByrPVvJ2cFAoFDh8+jGHDhsHS0hKTJ0+GjY0N9u3bhydPnmDJkiVo2LChxnMRFURqaipmzZqF9u3bQ19fH3/++Se+mvwDJNX3ImO/1UDDylL+33GCiIgAAPpNM46NaicBoA1J9b34avIP+PPPP6Gvr4/27dtj1qxZSE1N1UAGojKk8mzAyAHqPzXXzmg7WaxT2RqlUil++OEHHDhwAGfOnEHLli3x559/qmz9VD5wTCkqmdKjgSc9gZR/oJ57rLUAw56AdTCgpbnBQe/fvw9vb2/4+PggIiICH3/8Mby8vDBy5EhUrVpVYzmIiio8PByjR4/GP//8g1mzZmHGjBnQ0dH5/wJvDwIRA5ExI5+qu3H/V+yyWA9UHKPidRMRlRFxG4FnY//7QdXNfK2MHqrV9wLGjlmPpqWlYdGiRViwYAEaN24MX19fzghMVBjKJCBiAJB4HOoZ/Fwb0PsYqHECkFZWw/qBhw8fYujQobh27RpWrVqFsWPHctgRKhD2lKKSSVoFqHlaDbO5/PeRr+AO1DigkYJUYmIitmzZgu7du6Nu3bpYvXo1+vTpg4sXL+LGjRv4+uuvWZCiEi8tLQ0LFixAmzZtIAgCLl26hNmzZ2cvSAGAsRNQ82jGGHEq7e0ozZhpz2oXC1JERB9ScUzGsVJiAECVtzhrZxzbaxzNVpACAB0dHcyePRuXLl2CUqlE69atsWDBAqSlpalw+0RlmJZBxrlJBffMB1S7fsMeGedWaipIAUCtWrXwxx9/YMyYMRg3bhxGjRqFhIQEtW2Pyg72lKKSTRCA15uB5xMzZqhAejFWpp0xoJ/FZsCkn6oS5irzpF0ul2PHjh2Ij49H9+7dIZPJMGjQIBgaGqp1+0Sq9Pfff2P06NEIDw/H9OnTMXv2bOjq5jMxgCI2Y799sxUZDauiXvWTABAAw14Zt6Xo1CjieoiIypm0x0CUF5B4DFnH0iL57xheYRRQbVXGrF0fkJKSggULFmDx4sVo3rw5fH190bhx4yJum6gcit8PPJMBilco3h0jUkCil7HfmsoADfZa2rFjB8aMGQMbGxsEBgaiUaNGGts2lT7sKUUlm0QCVPwUqHMTqDASgC4yGlYFO6gKggSCAAgSI6DSV0Cd22otSD1//hw///wzmjRpgvbt2+PQoUOYNGkS7t27hxMnTmDkyJEsSFGpoVAosGTJErRs2RKJiYk4f/48Fi5cmH9BCsgoAFttAawPAPpt/3uw4FfsFcr/vp50GwKWvkCNIyxIEREVhk7NjGOnpS+g2+C/BwtxHFb819bSbwtYhwBWfvkWpABAT08PCxcuxPnz55GYmIiWLVti6dKlUCg0OeU9USlm0i/jnKXSV4DE+L8HC3baLkACpRIQoJNx7lTnJlDRS6MFKQBwdXXF5cuXAQBt2rTBjh07NLp9Kl3YU4pKF0Us8NoXeO39znhTEgjQgiJdCW2pNiSZvakkukjGx5jwXTh6DdoEVzcvtURKS0vDoUOHIJfLERISAm1tbQwcOBCenp7o2bMntLU1Nz0zkarcvn0bHh4euHjxIqZOnYr58+dDX1+/6CtMvgbErQXigwHFs/8e1ML/G1kCsq4GapnhrwfV8fX8O9gT+gLGnH2SiKh4BAFIOgu8+g1IOAwoY//7xbuTUyiR1atV2wInr1TAcnkS9h15VORxYZKTkzFr1iwsW7YM7dq1g6+vL+rXr1/MF0NUjigTgDc7M8aKSwn7784RQIAUinQFtKVakECJjHaUNhQ6jfDdkn9RqfYkTJuxRNToAJCQkICxY8di27ZtGD9+PJYvXw49PT2xY1EJw6IUlV7KZCDlOpAchrv/XsIWPzkmTf4WlSo3yJheVe9jQKKDrl27QldXF0ePHlXp5m/evAlvb2/4+fnh+fPnaNmyJWQyGVxdXWFmZqbSbRFpilKpxKpVqzBz5kzUqFEDPj4+sLW1Ve1G0l8AyX8CqTcBZSIAIWPsE916GfuutDoe/o+9+46K6trbOP6doYgiYo3Ywa6ggA1FxYIdu6LS5hgTW5pJNE3NNaZoYqKJJtFYYqQqduwFe0VFQcEeK/YugqLAvH/kxje5iYoKbIb5fdbKugmcOfvhqsc5z+yz99mzODk5ERwcjMFgeOYphRBCZJHRCOkX4ME+eHgSjPcBHegLgXVtsKkHlq+wadMmWrduzfbt22natOlLDbljxw769+9PUlIS48eP55133kGvlwc2hHguxkd/fCj/IJZb14/xw/cTCDIMoGr1RmDjDgXqgt6GV199la1bt3Ly5Mk8sdC40Whk+vTpDBs2jLp167JgwQIcHR1VxxJ5iJRSIl/YsGEDbdq04fTp0/+4yM2ePZvXX3+ds2fPUqHCyz3+c/fuXebPn8/s2bPZtWsXxYsXJzAwkFdffRU3N7eXOrcQqv3++++8+uqrbNu2jXfeeYfx48crfdy0ZcuWWFhYsGHDBmUZhBDCXGVmZlK5cmXatWvHjBkzXvp8qampfPLJJ0yZMoXmzZvz22+/UaVKlWxIKoT5OXPmDE5OTkRHR+Pt7f23723evJlWrVqxdetWmjdvrijhP8XGxtK7d2/u3LlDaGgoPj4+qiOJPEI+ohD5Xu/evbGxsSE8PPyFXm80GtmyZQv9+/enTJkyDB48mKJFi7JgwQIuXrzI5MmTpZASJi0zM5OpU6dSt25dkpKS2Lx5M5MnT1a+/pmmaWzatIlz584pzSGEEOZIr9cTFBTE/PnzuX///kufr1ChQkyePJlNmzZx/vx5XF1dmTp1KpmZL7oRhhDi33h5eVGpUiVCQkJUR/mb+vXrs3//fpo1a0bnzp0ZOXIk6ekvs4mVyC+klBL5XpEiRejZsyfBwcE8z8TApKQkvvrqK6pVq0bLli3Zvn07o0aN4uzZs6xatYrevXvLM9HC5J09e5Z27drx5ptvYjAYOHjwIC1atFAdC/j/QjksLEx1FCGEMEsGg4E7d+6wbNmybDtny5YtOXjwIEFBQbz55pu0a9eOs2fPZtv5hTB3er0eg8GQbYVydipWrBhLly7lm2++4ZtvvqFt27Zcvnz52S8U+ZqUUsIsGAwGjh49+ngXiCdJS0tjwYIFdOzYkUqVKjFu3DiaNWvGli1bOHHiBCNHjqR8+fK5lFqInGM0Gpk1axZ16tTh+PHjrFu3jmnTplG4cOFnvziX2NnZvVChLIQQIntUq1aNJk2aEBwcnK3ntbOzY9q0aaxbt45jx45Rp04dZs2aJdd6IbJJUFAQd+/eZenSpaqj/INer+fDDz9k48aNHD16FHd3d7Zu3ao6llBISilhFry9vSlXrtwT31TFx8czbNgwypYtS58+fbhz5w7Tp0/n0qVLzJkzBy8vrzyxUKAQ2eHChQv4+PgwcOBAfH19OXToEG3btlUd619pmsbx48eJiYlRHUUIIcySpmmsXbuWS5cuZfu527ZtS0JCAr1792bgwIH4+Phw4cKFbB9HCHNTrVo1PD09s71Qzk4tWrTgwIED1KxZk9atWzNhwgR5nNdMSSklzIKFhQWBgYHMnTuXtLQ0AG7evMlPP/1E/fr1cXNzIzIyktdee43Dhw+zc+dOXn/9dYoUKaI4uRDZx2g0EhISgrOzM3FxcaxYsYJff/0Ve3t71dGeqHXr1k8tlIUQQuSsvn37YmVl9cJrcz6Lvb09s2fPZvny5cTFxeHi4kJoaKjMmhLiJWmaxvr167l48aLqKE/k4ODA+vXr+fDDD/noo4/o0aMHt27dUh1L5DIppYTZ0DSNW7du8eWXX9KvXz/KlCnDe++9R8WKFVm2bBnnz59nwoQJ1KpVS3VUIbLd5cuX6d69O5qm0aVLFxISEkxi1xMLCwuCgoKYN28eDx48UB1HCCHMTtGiRenWrVuOP0rduXPnx383GQwGevToIWvNCPES+vTpg5WVVZ5fm9PS0pJx48axfPlytm3bRv369YmNjVUdS+QiKaWEWTh16hRz587F2tqaL7/8koMHDzJu3DiSkpJYsmQJXbp0wcrKSnVMIXJEZGQkzs7O7N69m8WLFxMaGkrx4sVVx8oyTdO4ffs2K1asUB1FCCHMkqZpJCQkEBcXl6PjFC9enLCwMBYvXszOnTtxcXEhMjIyR8cUIr8qWrQo3bt3N5m1OTt37sz+/fspUaIEnp6eTJ8+3SRyi5cnpZTIt1JTUwkLC6N169ZUqVKFH374gYYNG2JhYcHmzZsZPnw4pUuXVh1TiBxz7do1+vTpQ79+/fD29iYhIYEePXqojvXcatasSaNGjeQRPiGEUKRdu3aULl06167DPXr0IDExkVatWtGvXz/69OnD9evXc2VsIfITTdM4fPgw+/fvVx0lSxwdHdm+fTuvv/46Q4YMwWAwkJKSojqWyGFSSol8xWg0smfPHoYMGUKZMmUICgoCICQkhMuXLxMVFYVer2fu3LmKkwqRs5YsWYKzszMbN24kMjKS+fPnU6pUKdWxXpjBYGD16tVcuXJFdRQhhDA7lpaWBAQEEBERwaNHj3JlzFKlSrFgwQLmzZvHhg0bcHZ2ZsmSJbkythD5Rdu2bXFwcDCpD/YKFCjAzz//THh4OEuWLMHDw4OjR4+qjiVykJRSIl/4c0G89u3b4+HhwapVqxg2bBi///47GzduJCgoiEKFClGiRAk6d+5sUhdmIZ7HzZs3CQwMpGfPnnh6epKQkECfPn1Ux3pp/fr1Q6/XExERoTqKEEKYJU3TuHbtGqtXr87Vcfv27UtiYiKNGzemZ8+eBAYGykLIQmTRXwvlhw8fqo7zXPz9/dm7dy+ZmZk0aNCAefPmqY4kcoiUUsJkpaens3z5cnr06EG/fv0AqFGjBmvXruX06dN8/vnnVK5c+R+v0zSNAwcOcOjQodyOLESOWrlyJS4uLqxcuZKQkBCWLFmCg4OD6ljZokSJEnTp0kUKZSGEUKRu3bq4ubkpuQ47ODiwdOlSQkJCWLFiBc7OzqxcuTLXcwhhijRN48aNG6xatUp1lOdWq1Yt9uzZQ/fu3fHz8+Ott956vJO6yD+klBIm5+jRo3z00UdUqFCBrl27cvbsWYYOHQrAjz/+SLt27bCwsHji6zt27EjJkiXl5lbkG3fu3GHAgAF07twZNzc3EhISCAoKQqfTqY6WrTRNIz4+nvj4eNVRhBDCLGmaxvLly7lx40auj63T6QgKCiIxMRFXV1c6d+7MgAEDuHPnTq5nEcKU1KlTB3d3d5O99ylcuDChoaFMmzaNmTNn0rx5c86ePas6lshGUkoJk3D37l1mzZqFp6cntWrVYtasWfj6+rJ//372799P9+7ds3wua2tr/P39CQ8PJz09PedCC5EL1q1bh4uLCwsXLmTWrFmsXLmScuXKqY6VIzp27EipUqUICQlRHUUIIcySv78/RqNR6Y545cqVY9WqVcycOZOFCxdSp04d1q9fryyPEKZA0zRWrlxpshsG6HQ6hgwZwo4dO7h27Rru7u4mOfNL/DsppUSeZTQa2bp1K/3796dMmTIMGjQIe3t75s+fz8WLF5kyZQru7u4vdG5N07h8+bK8iREmKzk5mSFDhtC+fXtq1KjBoUOHeO211/Ld7Ki/srKykkJZCCEUeuWVV+jYsaPyGRc6nY7XX3+dQ4cOUa1aNdq1a8fQoUO5d++e0lxC5FV+fn4YjUaTX5epQYMG7N+/n6ZNm+Lj48OoUaPkPWE+IKWUyHOSkpIYN24c1atXp0WLFmzbto2RI0dy9uxZVq9eja+vLwUKFHipMdzd3XF2dlb+pkqIF7F582bq1q1LWFgYU6dOZf369VSqVEl1rFxhMBi4cuUKa9euVR1FCCHMksFgYM+ePXliN6xKlSqxfv16fv75Z0JCQqhTpw6bN29WHUuIPCevFMrZoVixYkRFRfH111/z9ddf065dO9md2cRJKSXyhLS0NBYuXEinTp2oVKkSX375JZ6enmzevJkTJ04watQoKlSokG3j6XQ6NE1j6dKl3L59O9vOK0ROSk1N5Z133qFVq1ZUrFiRgwcPMnTo0Hw9O+p/ubu74+Liki/eVAkhhCnq0qULxYoVyzPXYb1ezxtvvMHBgwepUKECrVq1YtiwYaSmpqqOJkSeomka+/bt4/Dhw6qjvDS9Xs9HH33Ehg0bOHz4MO7u7mzdulV1LPGCpJQSSsXHxzNs2DDKlSuHr68vt27d4pdffuHy5csEBwfTokUL9Pqc+W0aGBjIo0ePmD9/fo6cX4jstGPHDlxdXZk5cybff/89mzZt+tfdJfO7PwvlqKgo2RJcCCEUKFCgAP369SM0NJSMjAzVcR6rUqUKmzdv5vvvv2fGjBm4ubmxc+dO1bGEyDM6d+6cpwrl7NCyZUsOHDhA9erVad26NRMmTMBoNKqOJZ6TlFIi1926dYuff/6Z+vXr4+bmRmRkJAMGDODw4cPs2rWLgQMHUqRIkRzPUaZMGdq1a5evLswi/3nw4AEffPABzZs3p2TJksTHx/Puu+/mWFlrCgICAkhPT1e60K4QQpgzTdO4cOECGzduVB3lb/R6Pe+++y5xcXGUKFGCZs2a8cEHH/DgwQPV0YRQrkCBAvj5+REWFpanCuWXVaZMGaKjo/nggw/46KOP6N69uzwJY2LM965G5KrMzEzWr1+Pn58fZcqUYdiwYVSoUIGoqCjOnz/PhAkTqFWrVq7n0jSNnTt3cvLkyVwfW4hn2bNnD+7u7kyZMoWvv/6a7du3U716ddWxlCtTpgzt27eXXfiEEEKRRo0aUaNGjTx7Ha5Rowbbt29n/PjxTJkyhXr16rF3717VsYRQTtM0Ll68yIYNG1RHyVaWlpaMHz+e5cuXs3XrVurVq8f+/ftVxxJZJKWUyFGnT59mzJgxODk50a5dO+Lj4/nyyy9JSkpi6dKldO3aFSsrK2X5unXrRpEiRfLsmyphntLS0hg1ahSenp7Y2tqyf/9+PvzwQywsLFRHyzM0TWPXrl0cP35cdRQhhDA7Op0Og8HA4sWLSU5OVh3nX1lYWPDRRx+xf/9+ChUqRJMmTRg9ejRpaWmqowmhTMOGDalZs2a+fVKkc+fO7N+/n+LFi+Pp6cmMGTPkcT4TIKWUyHapqamEhYXRunVrKleuzPfff0+HDh3YvXs3iYmJjBgxAgcHB9UxAShYsCB9+vQhJCSEzMxM1XGE4MCBAzRs2JBvv/2Wzz77jF27duHs7Kw6Vp7TtWtX7O3tpVAWQghFgoKCuH//PgsXLlQd5amcnZ3ZtWsXY8aM4ZtvvqFhw4bExcWpjiWEEn8WykuWLOHu3buq4+QIJycnduzYwWuvvcbgwYPRNI2UlBTVscRTSCklsoXRaGTPnj0MGTKEMmXKEBQUhNFoJCQkhEuXLjF9+nQ8PDzy5C5hmqZx9uxZ2bFBKPXo0SPGjh1Lo0aN0Ol07N27l9GjRyudSZiX/Vkoh4aGSqEshBAKVKhQgdatW5vEjAsrKys+/fRT9u7di06no2HDhnz++ec8evRIdTQhcl1QUBAPHjxgwYIFqqPkmAIFCvDzzz8THh7OokWL8PDw4OjRo6pjiSeQUkq8lKtXrzJp0iTq1KmDh4cHK1eu5J133uHkyZNs2rSJoKAgbG1tVcd8qqZNm1KlShWTeFMl8qeEhAQaN27MF198wSeffMLevXtxdXVVHSvP0zSNc+fOsXnzZtVRhBDCLGmaxpYtWzh9+rTqKFni5ubG3r17+fjjj/n8889p0qQJCQkJqmMJkavKly+Pt7e3Wdz7+Pv7s3fvXjIzM2nYsCHz5s1THUn8CymlxHNLT09nxYoV9OzZk3LlyvHJJ5/g7OzMmjVrOHPmDF988QVVqlRRHTPL/pzGunDhQpnaKXJVeno648ePp379+jx48IDdu3fz+eefY21trTqaSfD09KRq1aryCJ8QQijSs2dPChcuTFhYmOooWWZtbc0XX3zBrl27SE1NpX79+nz99dekp6erjiZErtE0jW3btnHq1CnVUXJc7dq12bNnD127dsXPz4+3335b1pbLY6SUEll29OhRPvroIypUqECXLl04c+YM33//PRcvXiQyMpL27dub7ELMQUFB3Lt3jyVLlqiOIszE0aNHadasGaNHj+bdd98lNjaWBg0aqI5lUv5aKN+7d091HCGEMDu2trb07t2bkJAQk1tMuGHDhuzfv59hw4YxcuRImjVrxrFjx1THEiJX9OjRg8KFCxMaGqo6Sq74szyfOnUqM2bMwMvLi7Nnz6qOJf5LSinxVMnJyfz66680bdqUWrVqMXPmTHx9fdm/fz/79+/nrbfeokSJEqpjvjQnJye8vLzMYhqrUCsjI4NJkybh7u7OzZs32b59O9988w02Njaqo5mkoKAgUlJSWLx4seooQghhlgwGAydPnmTnzp2qozw3GxsbJkyYwPbt27l58yZubm58//33ZGRkqI4mRI6ytbXF19fXJAvlF6XT6Rg6dCg7duzgypUr1KtXj9WrV6uOJZBSSvwLo9HItm3bePXVV3FwcGDgwIHY2dkRGRnJxYsXmTJlCu7u7qpjZjtN09iwYQPnz59XHUXkUydPnqRly5aMGDGCIUOGEBcXR5MmTVTHMmmOjo60aNFCCmUhhFCkRYsWVKpUyaSvw56ensTFxTF48GDef/99WrZsye+//646lhA5ymAwcOrUKbZv3646Sq5q0KAB+/fvx9PTk06dOjF69GgpohWTUko8duHCBcaPH0/16tXx8vJi69atfPLJJ5w9e5Y1a9bQp0+ffD2bo3fv3tjY2JjUugjCNGRmZvLTTz/h6urKhQsX2Lx5M99//z2FChVSHS1f0DSNTZs2ce7cOdVRhBDC7Oj1eoKCgoiMjOT+/fuq47ywQoUK8cMPP7B582YuXLhA3bp1+fnnn2WHV5FveXl5mXyh/KKKFy9OVFQU48ePZ/z48bRr144rV66ojmW2pJQyc2lpaSxcuJBOnTpRsWJFvvjiCzw9Pdm8eTMnTpxg9OjRVKhQQXXMXFGkSBF69uxJcHCw2UxjFTnvzJkztG3blrfffpv+/ftz8OBBvLy8VMfKV3r37k3BggXNZl0EIYTIawwGA3fv3iUqKkp1lJfWokULDh48iKZpvPXWW7Rt25YzZ86ojiVEttPr9RgMBubPn09qaqrqOLlOr9fz8ccfs2HDBhITE3F3d2fbtm2qY5klKaXM1MGDB3n33XcpV64cvr6+3Lp1i19++YVLly4RHBxMixYt0OvN77eHpmkcO3aMvXv3qo4iTJzRaGTGjBnUqVOHkydPsn79en7++WcKFy6sOlq+Y2dnR8+ePc1qXQQhhMhLqlWrhqenZ77ZDbVw4cJMnTqV9evXc+LECerUqcPMmTPl7xiR7xgMBpKTk/NFofyiWrZsyYEDB6hevTqtWrXi22+/lT/rucz8WgczduvWLaZOnUqDBg1wdXVl7ty5vPrqqyQmJrJr1y4GDhyIvb296phKtW7dmnLlypnlNFaRfZKSkujYsSODBw+mb9++HDp0iDZt2qiOla9pmsbx48eJiYlRHUUIIcySpmmsXbuWS5cuqY6Sbdq0acOhQ4fo06cPgwYNolOnTiQlJamOJUS2qVq1Kk2bNjX7e58yZcoQHR3NBx98wIcffkiPHj24ffu26lhmQ0qpfC4zM5P169fj7+9PmTJleOeddyhXrhxLly4lKSmJb7/9ltq1a6uOmWdYWFgQGBjI3LlzSUtLUx1HmBij0UhwcDAuLi4cOnSIVatWMWvWLIoUKaI6Wr7XqlUrypcvb/ZvqoQQQpU+ffpgZWVFeHi46ijZyt7enl9//ZWVK1dy8OBBXFxcZGauyFc0TWP9+vVcvHhRdRSlLC0tGT9+PMuWLWPLli3Ur1+f/fv3q45lFqSUyqdOnz7NmDFjcHJyol27dhw4cIAvv/ySpKQkoqKi6NatG1ZWVqpj5kmapnHr1i1WrFihOoowIZcuXaJbt27079+frl27kpCQQMeOHVXHMht/Fsrz5s3jwYMHquMIIYTZKVq0KN26dcu3a3N26tSJhIQEunTpgqZpdOvWjcuXL6uOJcRL8/X1xcrKSjZ7+q8uXbqwf/9+ihUrhqenJzNmzMiX17S8REqpfOT+/fuEh4fj7e1N5cqV+f7772nfvj27du3i8OHDjBgxAgcHB9Ux87xatWrRsGFDmXEhssRoNDJ37lxcXFyIiYlh6dKlhISEUKxYMdXRzI6mady+fZvly5erjiKEEGZJ0zQSEhI4cOCA6ig5olixYoSGhrJkyRJiYmJwdnZm3rx5csMqTFrRokXp3r17vi2UX4STkxPbt29nwIABDB48GE3TSElJeeprZKfOFyellIkzGo3s3buXoUOHUqZMGQIDA8nIyCA4OJhLly4xY8YMGjdujE6nUx3VpGiaxurVq7l69arqKCIPu3btGr6+vvj7+9O2bVsSExPp1q2b6lhmq2bNmjRq1EgKZSGEUKRdu3Y4ODjk++tw9+7dSUxMpE2bNvj5+dGnTx+uXbumOpYQL0zTNA4fPkxsbKzqKHmGjY0NU6dOJSwsjEWLFuHh4cGxY8f+9dhly5ZRs2ZNs9zFMDtIKWWirl27xvfff0/dunVp1KgRK1as4K233uLEiRNs3rwZg8GAra2t6pgmq1+/fuh0OubOnas6isijFi1ahLOzM5s3b2b+/PnMmzePkiVLqo5l9jRNY82aNVy5ckV1FCGEMDuWlpYEBAQQERHBo0ePVMfJUSVLliQyMpLIyEg2bdqEs7MzixcvVh1LiBfStm1bHBwc8s0OmtkpICCAvXv3kpGRQYMGDYiMjPzHMS4uLpw6dYqZM2cqSGj6pJQyIenp6axYsYKePXtStmxZPv74Y2rXrs2aNWs4c+YMX375JVWrVlUdM18oUaIEXbp0yfef9Innd/PmTfz9/enduzdNmzYlMTERX19f1bHEf/Xr1w8LCwsiIiJURxFCCLOkaRrXr19n9erVqqPkij59+pCYmIinpye9evUiICCAmzdvqo4lxHOxtLQkMDCQiIgIHj58qDpOnlO7dm327t1Lly5d6NevH2+//fbfNsWqXLkyAQEBTJgwQdY2fQFSSpmAY8eO8fHHH1OhQgW6dOnCqVOnmDRpEhcvXiQyMpL27dtjYWGhOma+YzAYOHDgAIcOHVIdReQRK1aswNnZmdWrVxMWFsbixYspXbq06ljiL4oXLy6FshBCKFSnTh3c3NzM6jpcunRplixZQmhoKKtWrcLZ2Vk2zBEmR9M0bty4wapVq1RHyZMKFy5MeHg4U6dOZcaMGXh5eXH27NnH3x85ciSXLl3it99+U5jSNOmM+XQ1M6PRyJ2HmVy+n86V1HSu308nLRPAiJVeR9ECFjgUtMShkCUlbCzQ57E1l5KTk1mwYAGzZ89mx44dFCtWjICAAAYMGIC7u7vqeHnOhg0baNOmDadPn8bR0TFbzvnw4UPKlSuHpml899132XJOYZpu377Nu+++S3BwMJ06dWLmzJmULVtWdSzxBMuXL6dr167ExcXh6uqqOo4QQpidH374gQ8//JBLly5RokQJ1XFy1YULFxg4cCCrV6+mf//+/PDDD9jb26uOJfKZM2fO4OTkRHR0NN7e3tl23vr161OxYkWWLFmSbefMj/bu3Yuvry/JycmEhYU93nHbz8+PnTt3cuLECaytrbN0LmNmJly/gvFiEsZLSRhv3YCHD0GngwIF0JVyQFemPLqy5cG+WL5cKzrflVJpGZkk3kxj37UH3EzLAP6YDva/a+H/9WsFLXS4l7LBrYQNRazVzTgyGo1s376d2bNns2DBAlJTU2nbti0DBgygW7du2NjYKMuW1+VEKQUwbNgwIiMjSUpKwtLSMtvOK0zH2rVref3117lz5w4//PADr776ar78yyA/efToEeXKlSMwMJBJkyapjiOEEGbn6tWrlCtXjh9++IE333xTdZxcZzQamT17Nu+99x729vb8+uuvtGvXTnUskY/kVCk1efJkPvjgAy5evChrpT7DzZs3MRgMrFy5ktGjR/PZZ59x9OhRXFxcmDVrFq+99tpTX2+8e5vM2N1k7tsJqf/d2U+vh//dxe+vXytRCr1Hc/R166MrkH+6gXzz+F56ppGtl1L48dBN1iWlPC6k4J+F1P9+7X6GkV2X7zMt8RbLztwl5dGLb+cYFRXFunXrnus1Fy5cYPz48dSoUQMvLy+2bNnCxx9/zJkzZ1i7di19+/aVQkoRTdO4cuXKc/+aCtOXnJzM4MGD6dChAzVr1iQhIYEBAwZIIWUCrKys8Pf3Jzw8PN8vtCuEEHnRK6+8QseOHc3qEb6/0ul0vPbaayQkJFCzZk3at2/PkCFDSE5OVh1NiKfy9/fHaDTKZk9ZULx4cZYtW8b48eMZN24c7dq1o1SpUvTq1Ytx48aRnp7+r68zpiSTviiM9B++JHNb9P8XUvDPQup/v3bjGpmrFpP+3WdkbFqD8QljmJp8UUpdTk3nt6O32Xn5PukvOO/L+N9/jtx6yIwjtzh6K+1ZL/mH+fPn06NHD+Li4p557MOHD1m0aBE+Pj5UrFiRL774gsaNG7Np0yZOnjzJ6NGjqVix4nNnENnL3d0dFxcX2YnCzGzatIk6deoQHh7OtGnTWLdunfx5NDGapnH16lUplIUQQhFN09i7dy9HjhxRHUWZihUrsm7dusfbytetW5dNmzapjiXEE5UqVYpOnTrJvc8TGI1G7t279/i/9Xo9H3/8MRs2bCAxMRF3d3d8fHw4derUvxZ7mYlxpP/0DcbEeDAa//jnRaQ/InNrNOnTJ2K8eP5Ff5w8w+RLqf3X7hN87PbfZka9DCOQlmFk6ZlkVp1NJjOLv1HWr19PYGAg/v7+jBgx4onHHTp0iPfee49y5crRu3dvbty4wbRp07h06RIhISG0bNkSvd7kf1nyDZ1Oh6ZpLF26lNu3b6uOI3JYSkoKb7/9Nq1bt8bR0ZGDBw8yZMgQmR1lgtzc3KhTp47ZfkovhBCqde7cmWLFipn9za1Op2Po0KEcPHiQihUr0rp1a9555x1SUlKe/WIhFNA0jX379nH48GHVUfKcX3/9FTs7OypVqkT37t0ZO3Ysy5Yto0qVKuzfv5+qVasycOBAateuzVdffUVGxh8dhTEzg/RlkWQsDIUH98H44k9m/T8j3LhG+qzJZOzdmQ3nU8ek24+YK6msS0p5PMspux28mcbS088upvbu3UuPHj1o06YNv/322z9KpVu3bjF16lQaNmxI3bp1CQ8PR9M0EhIS2L17N4MGDZIFEPOwgIAAHj16xPz581VHETlo+/btuLm58euvvzJ58mQ2btxI5cqVVccSL+jPQjkqKopbt26pjiOEEGanQIEC9OvXj9DQ0Mc3ZuascuXKbNq0iR9++IFZs2bh5ubGjh07VMcS4h98fHwoXry4fLD3LwIDA4mIiKBv376kpKTw448/0q1bNypWrEjdunWxsrKifv36HD58mGPHjhEcHIwxM4OMhaEYD+zJ/kD/nW2VuWoRGTtMdxamyZZScdcfsOliao6Pc/zOQ1afu8eT1oM/evQoHTt2pG7duixYsAArKysAMjMziY6Oxt/fnzJlyvDOO+9QtmxZli5dyoULF/juu+9wdnbO8fzi5ZUpU4Z27drJhTmfun//PsOHD8fLy4tSpUoRFxfHO++8IzMW84GAgADS09OJjIxUHUUIIcySpmlcuHCBjRs3qo6SJ+j1eoYNG0ZcXBylSpWiefPmjBgxgvv376uOJsRjBQoUwM/Pj7CwMCmU/4eNjQ1+fn5MmDCB9evXc+3aNc6dO0dUVBRvv/02hQsX5vLly4+P/+STT8hYNh/jkUM5ni0zegWZsbtzfJycYJK7712/n87so7f/dQHznNKlUmGci/99sfGkpCQ8PT0pUqQIW7dupXjx4pw5c4Y5c+YwZ84czp49S82aNRkwYABBQUE4ODjkYmLzklO77/1p3rx5+Pn5cfz4capVq5bt5xdqxMTE0L9/f06fPs0XX3zB+++/j4WFuh04Rfbr1KkTt27dYteuXaqjCCGE2TEajdSqVYsGDRoQFhamOk6ekpGRwaRJkxg9ejSVK1cmODiYRo0aqY4lTERO7b73pz179uDh4cGaNWto3759tp8/v7tx4wbR0dFUuX8X17NHc29gvQWWQ4ajK1U698bMBiY3FSDTaGT52eQceVzvadaeT+HeX3blu3HjBu3atUOn07F06VLWrFlDmzZtcHJyYuLEibRt25adO3dy+PBhPvjgAymkTFy3bt2wt7cnNDRUdRSRDdLS0hg5ciSenp7Y2dmxf/9+PvjgAymk8iFN09i9ezfHjx9XHUUIIczOn49SL168WHae+x8WFhZ88MEHHDhwgMKFC9OkSRNGjRpFWtrzb7YkRHZr2LAhNWvWNPs14V5UiRIl6NOpI66XT+fyyEbSl0RgzDStGW4mV0rtu/aAK/czcr2UepRpZN35P1bav3fvHj4+Ply6dAlPT08aNGjw+DGR4OBgLl++zMyZM2nSpIkskJxPFCxYkD59+hASEkLmv23VKUzG/v37adCgAd999x2ff/45O3fupHbt2qpjiRzyZ6Esb6qEEEKNoKAgHjx4wMKFC1VHyZNq167Nrl27GDt2LN9++y0NGzbkwIEDqmMJM/dnobxkyRLu3r2rOo5Jyli1CB4+yt1BMzPhUhKZMdtzd9yXZFKlVIbRyO4rOb+O1L8x8sf6UtfuPaBhw4bExMRw+/ZtNm/ezJtvvsmJEyfYvHkzBoMBW1tbJRlFztI0jbNnz7J161bVUcQLePToEZ999hkeHh5YWFiwd+9eRo0ahaWlpepoIgfZ2NjQt29fQkNDpVAWQggFypcvj7e3t6zN+RSWlpaMHj2avXv3otfradSoEWPHjuXRo1y+oRXiLwIDA3nw4AELFixQHcXkGG9ex3g0IZt22Xt+mTs2mtRsKZMqpU7eeUhq+r/PkTIajSz+4n0+b1mNT+qV4uKx7F9MTAdEH7/A0aP//1zo5cuX+e677/D29qZJkyb07NmTN998k6+++orZs2ezdevWJy6SLkyLp6cnVapUkTdVJujQoUN4eHjw5ZdfMnLkSPbs2YOrq6vqWCKXaJrGuXPn2Lx5s+ooQghhlgwGA1u2bOH06dx+lMW0uLq6smfPHj755BO++OILPDw8OHQo5xdIFuLflC9fnjZt2si9zwvI3LcTdP9etRiNRoYuW0/pr3/G+rNJxF26mv0BUu5hPHY4+8+bQ0yqlIq99oAnPQx3fOcG9i+fhzY5nJHrEki7l0zwsADGtXPhk3qlSNy06qXHNwKXLYqSnJLK6dOn2blzJwsXLmTixIkEBgZSq1YtUlNT2b59O5MnT+a1116jVatWnDx58qXHFurpdDoMBgMLFy4kJSVFdRyRBenp6YwbN4769evz8OFDYmJiGDt2LNbW1qqjiVzUpEkTqlatKm+qhBBCkZ49e1K4cGFZmzMLrK2t+fzzz9m9ezdpaWnUr1+f8ePHk56erjqaMEOaprFt2zZOnTqlOorJMKY/InP/7ifOklp78gwhcYks9e/BueGDWXn8FE1mhFN83I+UmzCNXnOjOHb95suF0OnI3Gs6j/CZTCmVnmnk/L1HT1xL6sb5M9iVLE0l10bYlSzNwweplKnuTNePvs7WHGmZRu4YLXF0dKRJkyb06tWLt9566/HMqDVr1hAfH8/Vq1dJS0vjxo0bsltbPmIwGLh37x6LFy9WHUU8w5EjR2jatCmffvop77//PrGxsdSvX191LKHAn4XyokWLuHfvnuo4QghhdmxtbenduzchISHyBEEWNWjQgNjYWN5//31Gjx5N06ZN//a0hhC5oXv37hQuXFjW5nwOxktJ8JQNC07dvE0ZO1uaVCyLg50tu85dYGhDN7a97scqQ28yMjPxCV1EysusR2U0Yjx7CmOGaZTZJlNKXX/w5MXNF4x5i+UTPuH25SQ+qVeKb3zqUaNpG9q9ORIX785PPOeBlQv4KaANY5o58lXb2swbOZh7N689M8vl1Kz94lpbW1O0aNEsHStMg6OjIy1atJALcx6WkZHBxIkTcXd3586dO+zYsYOvv/6aAgUKqI4mFAoKCiIlJUUKZSGEUETTNH7//Xd27typOorJsLGx4euvv2b79u3cvn0bNzc3Jk6cSEaG6awVI0ybra0tvr6+Uig/B+PFJHjC812vLVnDu6s3ce5OMtafTaLa97NYEdQLg7szzq+UxNWhFDO7t+fcnWT2X7zy+HXh8YdpPP2P2VQVvv2FoIUruXrvGWttZ2bC1cvZ+JPlHJMppZ5WBHUZMY42Qz/GvnRZRq5L4M2wdVk6Z8ajh7R942OGzdtM0MQQbl44x4Ixbz/1NfpnZBH5n6ZpbNiwgfPnz6uOIv7HiRMnaNGiBR988AFvvPEGBw4coHHjxqpjiTzA0dGRli1byiN8QgihiJeXF5UqVZLr8Ato0qQJBw4c4I033uCDDz6gRYsWsjyIyDWapnH69Gm2bzedx8FUMl5KAv2/l1KTOrZiTCtPyhcpzLnhg9k5yP8fx9x58Mcsq2IFbR5/7VFGJp+19mTfkCAW9uvKmdt3eX3pmmdnuZj0gj9F7jKZUupmWsYTw9rYFaFAIVt0egvsSpamcLGSWTpng+4B1GjahuLlHalYtwFdPhzH8R0bSEt98uMdmfwxa0uYr169emFjY0NYWJjqKOK/MjMz+fHHH3F1deXSpUts2bKFSZMmUbBgQdXRRB6iaRqbNm3i3LlzqqMIIYTZ0ev1BAUFERkZyf3791XHMTmFChVi0qRJbN68mUuXLuHq6spPP/0kO8uKHNe8eXMcHR2lUM4i4/Wrf8xS+hf2NgWws7bGQqfHwc6WUraF/v5ao5EP1m6hacVyuJT+/06jfz0XOlRzonLxonhUKMv3HVux5uQZ7qU9fHIQvQXGG89+CiwvMJlSKj0z+6cLXjx6kJD3gvimkztjmjkyc2B3AG5fvvDU1z3KgSzCdBQpUoSePXsSHBws01jzgNOnT+Pt7c0777zDgAEDOHjwIM2bN1cdS+RBvXr1omDBgrLQrhBCKGIwGLh79y5RUVGqo5gsLy8v4uPj6d+/P2+//TZt2rThzJkzqmOJfEyv12MwGJg/fz6pqc94ZEzAwyevJ/Usw1ZtJOHKdUJ7dfrb1w9cukrPuVFU/X4mxcf9SJs58wE4dyf56SdMf4l1qXKRyZRS2e3h/RRmv9EH60K29PlyKm+Gridw4hzgj8f6nuZJOwAK86FpGseOHWPPnj2qo5gto9HI9OnTqVu3LqdOnSI6OpqffvoJW1tb1dFEHmVnZ0evXr2kUBZCCEWqVauGp6enzLh4SYULF+bnn38mOjqa33//nTp16jBjxgz5u03kGIPBQHJyMkuXLlUdJe/TvVhb8O6qjaw49jvr+vtS3t7u8ddTHj7CJ3QRha2tmNOzIzsHBrCgb1cAHj5rfbkXzJLbTKaUstLrsrUNunb6JCm3b9Dh7U9xqteEV5yqkXLzetazCLPWunVrypUrJ2+qFDl//jwdOnRgyJAh9OvXj0OHDuHt7a06ljABBoOBEydOsHv3btVRhBDCLGmaxrp167h48aLqKCbP29ubQ4cO0a9fPwYPHkzHjh1JSjKNNWSEaalSpQpNmzaVe5+ssH6+zZWMRiPDVm5g6ZETrNV8cSpm/7fvH7t+k+up9/mqTXOaVSpPzVLFuZqSxRlrllbPlUUVkymlittY8DxPzaWl3uPisUNcPHYIgFsXznHx2CFuX/rjQm1fphwWVtbsmjeLm0lnOLxlDRtnTXzmefVAqYIWL/IjiHzEwsKCoKAg5s2bR9pTtvwU2ctoNDJnzhxcXFxITExk9erVzJw5kyJFiqiOJkxEq1atKF++vOygKYQQivTp0wcrKysiIiJUR8kXihQpwsyZM1m1ahWHDh3CxcWFOXPmyKwpke00TSM6OpoLF56+1I2505UqDfqs1yzvrNxIxMGjhPTqhJ21NZeTU7icnML9R388elfB3g5rCwt+jjnAqZu3WX70d8ZtjXn2iTMz0JV85UV/jFxlMqVUmUKWz3X8hcPx/OjXmh/9WgOwctKn/OjXmvW/fA1A4WIl6T32Rw5FL+P73s3Y8tsUOr079pnnzQQcnjOLyJ8MBgO3bt1ixYoVqqOYhUuXLtG1a1deffVVunfvTkJCAh06dFAdS5iYvxbKDx48UB1HCCHMTtGiRenevbs8Sp3NOnbsSEJCAt26dePVV1+la9euXLp0SXUskY/06dMHa2trwsPDVUfJ03RlKzxxofN/M31fPHfS0mgzZwEVJ05//M+ChOMAlLItxKzu7Vl8+DiuPwfz7fY9fNPOK+tZTIDOaCJ/G2QajUyMv0FGHkir1bCnTCHTmApnLjZs2ECbNm04ffo0jo6OuTZuo0aNcHBwYNmyZbk2prkxGo3MnTuXt956C2tra2bMmEHXrl1VxxIm7NixY9SsWZP58+fj6+urOo4QQpidVatW4ePjQ2xsLPXq1VMdJ9+Jiopi8ODBPHz4kJ9++gk/Pz90JrK2jMiaM2fO4OTkRHR0dK4uYeHn58fBgwdJSEiQ31NPkHnhHBmzJquOARaWWI4ch06f95/yMpmZUnqdDkc7K+WLjBe00PFKQZkpJf6gaRqrV6/m6tWrqqPkS1evXqV3794EBATQrl07EhMTpZASL61GjRp4eHjIughCCKFIu3btcHBwkOtwDunWrRsJCQm0a9eOgIAAfH195b2qyBaapnH48GFiY2NVR8mzdA7loJDijZd0enRVqptEIQUmVEoB1C9VEJUTpXRAvVI2WEgrLP6rX79+6HQ6WRchByxcuBBnZ2e2bt3KggULmDdvHiVKlFAdS+QTmqaxZs0arly5ojqKEEKYHUtLSwICAoiIiODhw6fvei1eTMmSJZk3bx7z589ny5YtODs7s2jRItWxhIlr06YNZcqUkUL5KXQWFugbeKrd+c6Yib5hU3XjPyeTKqWc7KwoYqU2smsJG6Xji7ylRIkSdOnSRS7M2ejGjRv4+fnh6+tL8+bNSUxMpHfv3qpjiXymb9++WFhYyLoIQgihiKZpXL9+ndWrV6uOkq/5+vqSkJBA8+bN6d27N/7+/ty4cUN1LGGi/iyU586dK4XyU+jrN1YbwL4YuirV1WZ4DiZVSul0OjwdCqkZG3AuXoAi1qYxBU7kHk3TiIuL4+DBg6qjmLxly5bh7OzM2rVrCQ8PZ9GiRbzyimnsGiFMS/HixenSpYvswieEEIrUqVMHd3d3uQ7ngtKlS7No0SLCwsJYvXo1Li4uLF++XHUsYaI0TePGjRusWrVKdZQ8S1ekKLq69ZXNlrJo3gadznSqHtNJ+l+uJQpQsbBl7q4tZcwk40EqXq9Y5+aowkR07NiRkiVLypuql3D79m00TaNbt240aNCAhIQE/P39ZQFFkaM0TSM+Pp74+HjVUYQQwixpmsby5ctl5k4u0Ol0BAQEkJiYSL169ejatSv9+/fn9u3bqqMJE+Pi4kK9evXkSZFnyGjZgZRMI1nfhy8b6PXoHKugq+eRm6O+NJMrpXQ6HZ0q2mGRm/eqOj0RI4fQqpknx44dy8WBhSmwsrLC39+fsLAw0tPTVccxOWvWrMHFxYWlS5cye/Zsli9fTtmyZVXHEmagQ4cOlCpVSt5UCSGEIn5+fhiNRubNm6c6itkoW7YsK1asYPbs2SxZsgQXFxfWrl2rOpYwMZqmsXLlSq5fv646Sp507NgxmrT2RluwPHcLF70FFt36mdwH+yZXSgEULWBB50p2uTaexysFCZn4Jffu3aNevXr8+uuvGI0ql1wXeY2maVy5coV169apjmIykpOTGTRoEB07dqR27dokJCTw6quvmtxFVJguKysrAgICCA8P59GjR6rjCCGE2XnllVfo2LGjfDiQy3Q6Ha+++iqHDh2idu3adOjQgUGDBpGcnKw6mjARfxbKc+fOVR0lTzEajcyaNYt69eqRmprKZ2GR6Ju0zKXRdVj08EdXtHgujZd9TLKUAqhZrACdKhbO8XHcShSgZdlC1KtXj9jYWPz8/Hj99dfp06cPt27dyvHxhWlwd3fHxcVF3lRl0caNG6lTpw4RERH88ssvrF27lgoVKqiOJcyQpmlcvXpVPiUWQghFNE1j7969HDlyRHUUs1OxYkXWrl3LL7/8QkREBHXq1GHjxo2qYwkTUKpUKXx8fOTe5y9u3bpFnz59GDhwIP7+/sTGxuLu7o6+bWd09Zvk+PgW3fqgr103x8fJCSZbSgHULWFDN8c/HuXLzrkVf56rSemCtK9Q+PHMjcKFCzNr1izmz59PdHQ0rq6ubNu2LRtHFqZKp9OhaRpRUVHybP5TpKSk8NZbb+Ht7Y2TkxOHDh1i8ODBMjtKKOPq6kqdOnVkTTghhFCkc+fOFCtWTK7Diuh0OgYPHsyhQ4dwdHTE29ubt956i5SUFNXRRB5nMBiIjY0lMTFRdRTltm7diqurK9HR0SxYsICZM2dia2sL/PFnzMKnF/pm3vz3C9k3sF4PlpZY9Dagd2uUfefNZSZdSgHUKlaA12sVo6ytZbacTwcUttLjV7UILcra/uvNsq+vL/Hx8Tg6OtKyZUv+85//yFpCgoCAAB49esT8+fNVR8mTtm/fjqurK7Nnz2bKlCls2LABJycn1bGEmftroSyzX4UQIvcVKFAAPz8/QkNDycjIUB3HbDk5ObFx40YmT57M7NmzcXV1Zfv27apjiTzMx8eH4sWLm3WhnJ6ezqeffkqrVq1wdHQkPj6e3r17/+M4nU6HhXcnLAxDwc4++4qpchWxHPoBemfX7DmfIiZfSgEUK2BBYDV72pa3pZDlH7/AL/LLbKmDBqVsGFirGJXsnr7TXsWKFdm0aROfffYZ48aNw8vLi9OnT7/AqCK/KFOmDO3bt5dprP/j/v37vP/++3h5eVG6dGni4+N5++230evzxeVH5AMBAQFkZGQQGRmpOooQQpglTdO4cOGCPDqmmF6v55133iEuLo7SpUvj5eXF8OHDuX//vupoIg/6s1AOCwszy0L59OnTeHl5MX78eMaOHcumTZuoWLHiU1+jd6qK5ZsfovfwAkur5x/0zzLLtjD6jj2wfPVNdMVLvkD6vCXf3BXqdDrqlyrImy7F6eFkR/nC/z9zSscfP6juf/79T8ULWNCuvC1v1ymOd/nCWGdxaz8LCws+/fRTtm7dyqVLl3Bzc5PF3sycwWBg586dnDhxQnWUPCEmJgZ3d3emTp3Kt99+y9atW6lWrZrqWEL8jYODgxTKQgihUMOGDalRo4Zch/OI6tWrs3XrViZMmMDPP/+Mu7s7MTExqmOJPEjTNC5evEh0dLTqKLkqIiICNzc3Ll26xLZt2xg9ejQWFhZZeq3OugAW7btiOeIz9J16QolX/vJN3R+P5Ol0f//3P79d0QmLPhqW7/0Hi0bN0OnyR52jM+bjbeQeZhi5ej+dy6npXH+QwaNMI0b+mBFVtIAFDoUscShoSSGrl//FvHPnDkOGDGHevHkYDAZ++ukn7Oxyb4dAc7dhwwbatGnD6dOncXR0VJbj/v37lClThrfffpsvvvhCWQ7V0tLS+Oyzz5gwYQL169cnODiYWrVqqY4lxBPNnz+fvn37cvToUWrUqKE6jhBCmJ3x48fzxRdfcPnyZYoUKaI6jvivw4cP079/f2JjY/nwww/57LPPKFCggOpYZu/MmTM4OTkRHR2Nt7e3shxGoxFnZ2fc3NyIiIhQliO3JCcn8+abbxIaGoqfnx/Tpk3D3t7+pc9rTLmH8VLSH//cvAHpj0CnQ2dlDa84oCtTHp1DWXTW+fPPXr4upXKb0WgkNDSUN998k9KlSxMREUGjRqa74JgpySulFMCgQYNYu3Ytp0+fNstH1GJjY9E0jePHj/PZZ5/x4YcfYmmZPWu+CZFTHjx4gIODA2+++SZfffWV6jhCCGF2kpKSqFixIrNmzWLAgAGq44i/SE9PZ8KECXz22WePZ7TVq1dPdSyzlldKKYBvvvmGzz77jMuXL2dLQZNX7dmzB39/f65cucLPP/9MUFCQbNaUTczvjjkH6XQ6DAYDBw4coFixYjRt2pSvv/6azMxM1dFELtI0jXPnzrF161bVUXLVw4cPGTNmDB4eHlhbWxMbG8vIkSOlkBImwcbGhr59+xIaGirXbCGEUKB8+fJ4e3ub9aLJeZWlpSUjR45k3759WFpa0qhRI8aMGcPDhw9VRxN5QEBAAGlpaSxcuFB1lByRkZHB+PHjadq0KcWLF+fAgQMYDAYppLKRlFI5oGrVquzYsYMRI0YwcuRI2rZty4ULF1THErnE09OTqlWrmtW6CAcPHsTDw4Nx48YxevRoYmJiqFOnjupYQjwXTdM4f/48mzdvVh1FCCHMkqZpbNmyRTYPyqPq1q1LTEwMo0aN4quvvsLDw4NDhw6pjiUUK1++PG3atMmX9z4XLlygbdu2jBo1ihEjRrBjxw6qVq2qOla+I6VUDrG2tmb8+PGsX7+eo0ePUrduXaKiolTHErngzxlzCxcuJCUlRXWcHJWens5XX31FgwYNePToETExMXz22WdYWb3AbhJCKNakSROqVauWL99UCSGEKejRoweFCxcmNDRUdRTxBNbW1owdO5aYmBgePXpE/fr1GTduHOnp6aqjCYU0TWPbtm2cOnVKdZRss3TpUurWrcuxY8eIjo5m/Pjxco+TQ6SUymHe3t7Ex8fTvHlzunfvzhtvvEFqaqrqWCKHBQUFce/ePRYvXqw6So45cuQInp6e/Oc//2HEiBHExsbK+gLCpP1ZKC9atIh79+6pjiOEEGbH1taW3r17ExISgix7m7fVr1+f2NhYhg8fzqeffoqnpydHjhxRHUso0qNHD+zs7PLF47epqakMHTqUHj164OXlxcGDB2ndurXqWPmalFK5oGTJkixZsoRp06bx22+/0bBhQw4ePKg6lshBjo6OtGjRIl/OuMjIyOC7777D3d2du3fvsnPnTsaNGyc7sYh8ISgoiJSUFBYtWqQ6ihBCmCVN0/j999/ZsWOH6ijiGQoUKMD48ePZsWMHd+/exd3dne+++46MjAzV0UQuK1SoEL6+voSEhJj02pzx8fE0aNCAOXPmMG3aNBYvXkyJEiVUx8r3pJTKJTqdjiFDhrBv3z4sLCxo1KgRU6ZMkU+B8jFN09i4cSPnz59XHSXbnDhxAi8vLz788EPefPNNDhw4gIeHh+pYQmSbSpUq0apVq3xZKAshhCnw8vKiUqVKch02IY0bN+bAgQO88cYbfPjhh7Ro0YITJ06ojiVymaZpnD59mu3bt6uO8tyMRiNTpkyhUaNGWFlZERsby5AhQ2Qx81wipVQuc3Z2Zs+ePQwePJhhw4bRuXNnrl69qjqWyAG9e/emYMGChIWFqY7y0jIzM5kyZQqurq5cuXKFLVu2MHHiRAoWLKg6mhDZzmAwsGnTJs6ePas6ihBCmB29Xo/BYGD+/Pncv39fdRyRRQULFmTSpEls2bKFy5cv4+rqyo8//mjSs2bE82nWrBmOjo4m9wjf1atX6dy5M8OGDWPIkCHExMRQu3Zt1bHMipRSCtjY2DB58mRWrFjBnj17qFu3LuvWrVMdS2QzOzs7evbsSXBwsEnPiDt9+jStW7dm2LBhvPbaa4/XSBMiv+rVqxeFChXKF4WyEEKYIoPBwN27d2WTIBPUvHlz4uPjGTBgAO+88w7e3t6ym6KZ+GuhbCprKK9du5a6deuyd+9eVqxYweTJk7GxsVEdy+xIKaWQj48PBw8exNXVlfbt2zNixAjS0tJUxxLZSNM0jh07xp49e1RHeW5Go5FffvmFOnXqcObMGTZs2MCPP/6Ira2t6mhC5Cg7Ozt69epl8oWyEEKYqqpVq9K0aVN5hM9E2dra8tNPPxEdHc2pU6eoW7cu06dPl79TzYDBYCA5OZmlS5eqjvJUaWlpDB8+nA4dOuDq6srBgwfx8fFRHctsSSmlWJkyZVi9ejUTJ05kypQpNGnShGPHjqmOJbJJq1atKFeunMm9qTp//jzt27dn6NChBAQEyK4TwuxomsaJEyfYvXu36ihCCGGWDAYD69at4+LFi6qjiBfk7e3NoUOH8PPzY8iQIbRv3z5frbUq/qlKlSo0a9YsT9/7HD16lMaNG/Pjjz8yceJEVq9ejYODg+pYZk1KqTxAr9fz/vvvs3v3blJSUqhXrx6zZs2STxPyAQsLC4KCgpg3b55JzIIzGo3Mnj0bFxcXDh8+zJo1a5g+fTpFihRRHU2IXNWqVSsqVKiQp99UCSFEftanTx+srKwIDw9XHUW8hCJFijBjxgxWr17N4cOHcXFx4bfffpP7nHxM0zSio6O5cOGC6ih/YzQamTVrFvXr1+f+/fvExMTw/vvvo9dLJaKa/ArkIfXq1WP//v34+fkxcOBA+vTpw61bt1THEi9J0zRu3brF8uXLVUd5qosXL9KlSxdee+01evToQUJCAu3bt1cdSwgl9Ho9QUFBREZG8uDBA9VxhBDC7BQtWpTu3bvLo9T5RIcOHUhISKB79+4MGDCArl27cunSJdWxRA7w9fXF2to6T63NefPmTXx9fRk4cCD+/v7Exsbi7u6uOpb4Lyml8hhbW1tmzZrF/PnziY6OxtXVlW3btqmOJV5CzZo1adSoUZ7dicJoNBIeHo6LiwuxsbFERUUxZ84cihYtqjqaEEoZDAZu376d5wtlIYTIrzRNIzExkQMHDqiOIrJB0aJFCQ4OJioqir179+Ls7ExERISUjvmMvb093bt3JyQkJE/82m7duhVXV1c2bNjAggULmDlzpqyRm8dIKZVH+fr6Eh8fj6OjIy1btuQ///kP6enpqmOJF6RpGqtXr+bq1auqo/zNlStX6NWrF4GBgY8/weratavqWELkCTVq1MDDw0Me4RNCCEXatm2Lg4ODXIfzma5du5KYmEj79u0JCAigV69eee49sng5mqZx+PBhYmNjlWV49OgRn376Ka1ataJy5cocPHiQ3r17K8sjnkxKqTysYsWKbNq0ic8++4xx48bh5eUlW6qaqL59+6LT6YiIiFAd5bEFCxbg4uLCtm3bWLhwIREREZQoUUJ1LCHyFE3TWLNmDVeuXFEdRQghzI6lpSUBAQFERETw8OFD1XFENipRogRz585lwYIFbNu2DWdnZxYuXKg6lsgmbdu2pUyZMsoK5VOnTuHl5cX48eMZO3YsGzdupEKFCkqyiGeTUiqPs7Cw4NNPP2Xr1q1cunQJNze3PFVsiKwpUaIEXbp0yROf9N24cYN+/frRp08fvLy8SExMpFevXqpjCZEn9e3bFwsLC1loVwghFNE0jevXr7N69WrVUUQO6N27N4mJiXh5eeHr64ufnx83btxQHUu8JAsLCwIDA5k7d26uF8oRERG4ublx+fJltm3bxujRo7GwsMjVDOL5SCllIjw9PYmLi8PHx4eAgAA0TSM5OVl1LPEcNE0jLi6OgwcPKssQFRWFs7Mz69atIyIigoULF/LKK68oyyNEXle8eHG6du2aJwplIYQwR3Xq1MHd3V2uw/nYK6+8wsKFCwkPD2ft2rU4OzuzbNky1bHES9I0jRs3brBy5cpcGe/u3bsYDAYCAgLo0qULcXFxNGnSJFfGFi9HSikTYm9vT3h4OMHBwSxevBh3d3f27NmjOpbIoo4dO1KqVCklb6pu3bqFwWCge/fuNGzYkMTERPz8/NDpdLmeRQhTo2kaBw8eJC4uTnUUIYQwS5qmsWLFCplBk4/pdDr8/f1JSEigQYMGdOvWDU3TuH37tupo4gU5OztTv379XLn32bNnD+7u7ixZsoSQkBDCwsKwt7fP8XFF9pBSysTodDoMBgMHDhygePHiNG3alK+//pqMjAzV0cQzWFlZ4e/vT3h4eK4uWr969WpcXFyIiorit99+Y9myZZQpUybXxhfC1LVv355SpUrl2R00hRAiv/P398doNDJv3jzVUUQOK1u2LMuXL2f27NksXboUFxcX1qxZozqWeEEGg4GVK1dy/fr1HDl/RkYG48ePp2nTppQsWZK4uDiCgoLkg3cTI6WUiapatSrbt29nxIgRjBw5krZt23LhwgXVscQzaJrGlStXWLduXY6PdffuXV5//XU6deqEi4sLCQkJ9O/fXy7SQjwnKysrAgICCA8P59GjR6rjCCGE2SlVqhSdOnWSR/jMhE6n49VXXyUhIQFnZ2c6duzIwIEDuXv3rupo4jn5+fkBMHfu3Gw/94ULF2jbti2jRo3igw8+YPv27VSpUiXbxxE5T0opE2Ztbc348eOJjo7m2LFj1K1bl6VLl6qOJZ7Czc0NFxeXHH9TtWHDBurUqUNkZCTTp09nzZo1suOEEC9B0zSuXr3K2rVrVUcRQgizZDAY2Lt3L0eOHFEdReSSChUqsGbNGn755Rfmzp1LnTp12Lhxo+pY4jmUKlUKHx+fbL/3Wbp0KXXr1uX48eNs2LCBcePGYWVlla1jiNwjpVQ+0Lp1aw4ePEjz5s3p0aMHQ4cOJTU1VXUs8S90Oh2aphEVFcWtW7ey/fz37t3jzTffpE2bNlSuXJlDhw4xaNAgmR0lxEtyc3Ojbt268im9EEIo0rlzZ4oVKybXYTOj0+kYPHgwhw4donLlynh7e/PWW2+RkpKiOprIIk3TiI2NJTEx8aXPlZqaypAhQ+jRowdeXl7Ex8fTqlWrbEgpVJJSKp8oUaIES5YsYdq0acyZM4eGDRsq3eVNPFlAQACPHj1i/vz52Xrebdu24erqypw5c/jxxx/ZsGEDjo6O2TqGEOZM0zSWLVvGzZs3VUcRQgizU6BAAfz8/AgNDZW1VM2Qk5MTGzZsYMqUKcyePZu6deuybds21bFEFvj4+FCiRImXLpTj4+Np0KABISEh/PLLLyxevJgSJUpkU0qhkpRS+YhOp2PIkCHExsZiYWFBw4YNmTJlCkajUXU08RdlypShffv22bZo8v3793nvvfdo0aIFZcqUIT4+nrfeegu9Xv54C5Gd/P39ycjIyPZCWQghRNZomsbFixflES4zpdfrefvtt4mPj8fBwYEWLVrw/vvvc//+fdXRxFNYW1vj5+dHWFjYCxXKRqORKVOm0KhRI6ysrNi3bx+DBw+WJ0HyEblrzYdq167Nnj17GDJkCMOGDaNz585cvXpVdSzxF5qmsXPnTk6cOPFS59m9ezdubm5MmzaNb7/9li1btlC1atVsSimE+CsHBwfat28vj44IIYQiDRs2pGbNmnIdNnPVqlVj69atfPvtt0ydOhV3d3diYmJUxxJPYTAYuHTpEtHR0c/1uqtXr+Lj48OwYcMYMmQIMTEx1K5dO4dSClWklMqnbGxsmDx5MitWrGDv3r3UrVtXFujNQ7p27Yq9vf0Lz5Z68OABH3/8MU2bNqVo0aLExcUxfPhwLCwssjmpEOKvNE1j9+7dHDt2THUUIYQwO3+uzbl48WLZic3MWVhYMHz4cA4cOECRIkXw9PTkk08+IS0tTXU08S8aNGhArVq1nqtQXrt2LXXr1mXfvn2sXLmSyZMnY2Njk4MphSpSSuVzPj4+HDx4EFdXVzp06MDw4cPlYp0HFCxYkD59+hASEkJmZuZzvTY2Npb69eszadIkvvzyS3bs2EHNmjVzKKkQ4q+6du1K0aJFs+3xWyGEEM8nMDCQBw8esHDhQtVRRB5Qq1Ytdu7cyRdffMHEiROpX78+sbGxqmOJ//FnobxkyRLu3Lnz1GPT0tIYPnw4HTp0wNXVlYMHD9KpU6dcSipUkFLKDDg4OLB69WomTpzIjz/+SJMmTeRT/jxA0zTOnTvHli1bsnT8w4cP+c9//oOHhwcFChQgNjaWTz75BEtLyxxOKoT4k42NDX379iU0NPS5C2UhhBAvr3z58nh7e8sjfOIxS0tLRo4cSWxsLNbW1nh4eDBmzBgePnyoOpr4i8DAQB4+fMiCBQueeMzRo0dp3LgxP/74I5MmTWL16tU4ODjkYkqhgpRSZkKv1/P+++8TExNDamoq9erVY9asWbIIukKenp5UrVo1S2+q4uPj8fDwYPz48Xz66afExMRQp06dXEgphPhfmqZx/vx5Nm3apDqKEEKYJU3T2Lp1K6dPn1YdReQhderUISYmhtGjRzNu3Dg8PDxkN/I8pFy5crRp0+Zf732MRiOzZs2ifv363L9/n5iYGN577z3ZuMlMyK+ymXF3dyc2NhZ/f38GDhyIr6+vbG+uiE6nw2AwsHDhQlJSUv71mPT0dL788ksaNmxIeno6MTExjBkzBisrq1xOK4T4U+PGjalWrZo8wieEEIr06NGDwoULExoaqjqKyGOsrKz47LPPiImJIT09nQYNGvDVV1+Rnp6uOprgj0J5+/bt/P7774+/dvPmTXx9fRk4cCABAQHExsbi7u6uMKXIbVJKmSFbW1tmzpzJggUL2LBhA66urmzdulV1LLMUFBRESkoKixcv/sf3Dh8+TJMmTRgzZgwjRoxg37591KtXT0FKIcRf/bkuwqJFi7h3757qOEIIYXZsbW3x9fUlJCREZv2Lf1WvXj327dvHiBEj+M9//oOnpydHjhxRHcvsde/eHTs7u8eF8pYtW3B1dWXjxo0sXLiQGTNmYGtrqzilyG1SSpmx3r17c/DgQSpXrkyrVq349NNPefTokepYZsXR0ZGWLVv+bRprRkYG3377LfXq1SM5OZmdO3cybtw4ChQooDCpEOKvAgMDSUlJYdGiRaqjCCGEWdI0jd9//50dO3aojiLyqAIFCjBu3Dh27tzJ3bt3cXd359tvvyUjI0N1NLNVqFChx4Xy6NGjadWqFZUrVyY+Pp5evXqpjicUkVLKzFWoUIGNGzcyduxYxo8fj5eXF6dOnVIdy6wYDAY2btzI+fPnOX78OM2bN+ejjz7irbfe4sCBA3h4eKiOKIT4H5UqVaJVq1ay0K4QQijSvHlzKlWqJNdh8UweHh4cOHCAN998k48++ggvLy9OnDihOpbZatu2LadPn2b8+PF88cUXbNy4kQoVKqiOJRSSUkpgYWHB6NGj2bZtG5cvX8bNzY2IiAjVscxG7969sbGxYejQobi5uXH16lW2bt3Kd999R8GCBVXHE0I8gaZpbNq0ibNnz6qOIoQQZkev12MwGJg/fz73799XHUfkcQULFmTixIls3bqVK1eu4OrqypQpU2Qn3VwWHh7OwIEDsbS0pFOnTowaNQoLCwvVsYRiUkqJx5o0aUJcXBxdunQhICAAg8HA3bt3VcfK965du4adnR0rV65kwIABxMfH06xZM9WxhBDP0KtXL2xtbWWhXSGEUOTP96pLly5VHUWYiGbNmhEfH89rr73GsGHDaN26tezimAvu3r2LwWAgMDCQrl27Mnz4cLZs2UJqaqrqaCIPkFJK/I29vT1hYWGEhISwZMkS3N3d2bNnj+pY+ZLRaOSXX36hbt26j7c7DQoKksX9hDARhQsXplevXrLQrhBCKFK1alWaNm0qu6GK52Jra8uPP/7Ihg0bOHPmDHXq1OGXX36Rv8tzSExMDO7u7ixZsoTQ0FDCw8MZNGgQycnJUigLQEop8S90Oh1BQUHExcVRsmRJmjZtyvjx42VRwGx07tw52rVrx9ChQwkICODIkSOUL19e1kUQwsRomsaJEyfYvXu36ihCCGGWNE1j3bp1XLx4UXUUYWJat27NoUOHCAgIYOjQobRv357z58+rjpVvZGRkMH78eJo1a0bJkiWJi4sjMDAQgMqVK9O8eXO59xGAlFLiKapUqcL27dv54IMPGDVqFG3btiUpKUl1LB49esTGjRuf+WlGeno6GzZsyFOfehiNRmbPnk2dOnU4cuQIa9asYfr06RQtWpSgoCDmzZtHWlqa6phCiCxq2bIlFSpUkDdVQgihSJ8+fbCysiI8PFx1FGGC7OzsmD59OmvWrOHw4cO4uLgwe/bsPHf/sGHDBtLT05953MaNG/PEbupJSUm0adOGUaNG8eGHH7J9+3aqVKnyt2MMBgPR0dFcuHBBUUqRV0gpJZ7KysqKcePGsWHDBo4fP46rq6vyaZZnz57F29ubqKiopx43efJkOnTowMOHD3Mp2dNdvHiRzp0789prr9GzZ08SEhJo37794+8bDAZu3brF8uXLFaYUQjwPvV5PUFAQkZGRPHjwQHUcIYQwO/b29nTv3p3g4OA8VSQI09K+fXsSEhLo2bMnr732Gl26dMkzs+8ePnxIhw4dmDJlylOPW7p0Kd7e3so3YFmyZAl169blxIkTbNy4ka+++gorK6t/HOfr64u1tTVhYWEKUoq8REopkSWtWrUiPj4eLy8vevTowZAhQ5QtTFe1alVat27N2LFjn/jmIyUlhQkTJtC/f38KFCiQywn/zmg0EhYWhrOzM/v372f58uX89ttvFC1a9G/H1axZk0aNGsmMCyFMjMFg4Pbt2yxbtkx1FCGEMEuappGYmMj+/ftVRxEmrGjRovz2228sW7aM2NhYXFxcCA8PV152FihQgP79+/PNN9888f4rMzOTsWPH0rp1a6pWrZrLCf+QmprKkCFD6NmzJy1btiQ+Pp6WLVs+8Xh7e3t69OghhbKQUkpkXYkSJVi8eDG//PILISEhNGjQgPj4eCVZxowZQ1xc3BNnS/3yyy/cvHmTkSNH5nKyv7ty5Qo9e/YkKCiITp06kZCQQOfOnZ94vKZprF69mitXruRiSiHEy6hRowaNGzeWQlkIIRRp27YtDg4Och0W2aJLly4kJCTQoUMHAgMD6dWrl/L35iNHjuTmzZv88ssv//r9qKgo4uPjGTNmTC4n+0NcXBz169cnJCSE6dOns2jRIkqUKPHM12maxpEjR9i3b18upBR5lZRS4rnodDoGDx7Mvn37sLKyolGjRkyePDnX220vL68nzpb66ywpJyenXM31V/Pnz8fZ2ZkdO3awcOFCwsPDn3lx7tevHxYWFsydOzeXUgohsoOmaaxdu5bLly+rjiKEEGbH0tKSwMBA5s6dm2eWbRCmrUSJEkRERLBw4UK2bduGi4sLCxYsUJbHycnpibOl/jpLysvLK1dzGY1GfvjhBzw8PChQoACxsbEMGjQInU6Xpde3adOGsmXLyg6aZk5KKfFCateuTUxMDEOHDuXdd9/Fx8eHq1ev5mqGJ82WUj1L6vr16/Tt25e+ffvSsmVLEhMT6dWrV5ZeW7x4cbp06SKf9AlhYvr27YuFhQURERGqowghhFnSNI3r16+zevVq1VFEPtKrVy8SExNp0aIFffr0oV+/fly/fl1JlifNllI1S+rKlSv4+Pjw3nvv8cYbb7B7925q1ar1XOewsLCQQllIKSVenI2NDT/88AMrV65k37591K1blzVr1uTa+P82Wyo1NVXpLKmoqCicnZ2Jjo5m7ty5LFiwgFKlSj3XOTRNIy4ujoMHD+ZQSiFEditWrBhdu3aVQlkIIRRxcXGhXr16ch0W2e6VV15hwYIFREREsG7dOlxcXJ654VJO+Otsqfv37wPqZkmtWbOGunXrEhsby6pVq/j++++xsbF5oXMZDAZu3LjBypUrszmlMBVSSomX1qlTJw4ePIibmxsdO3bk/fffJy0tLVfG/nO21M6dOwEIDw9XMkvq1q1bGAwGunfvjoeHBwkJCfTr1y/LU1f/qkOHDpQqVUreVAlhYjRN4+DBg8TFxamOIoQQZslgMLBixQpu3LihOorIZ3Q6HX5+fiQmJtKwYUO6d+/+eOfs3PTnbKnw8HAAdu7cmauzpNLS0njvvffo2LEj9erV4+DBg3Ts2PGlzuns7Ez9+vXl3seMSSklsoWDgwOrVq1i0qRJ/PTTTzRu3JijR48+8fgjR448vpi+jD9nS/35HPL06dNzfZbU6tWrcXFxYdmyZcyZM4eoqCjKlCnzwuezsrLC39+f8PBw0tPTszGpECIntW/fnldeeUXeVAkhhCL+/v4YjUZZm1PkmDJlyjx+z79s2TJcXFxy9ZHRP2dL/fkIX2hoaLbNkgoPD+fIkSNP/P6RI0fw8PBg6tSpfP/996xcuZLSpUu/9Ljwxwd7K1eu5Nq1a9lyPmFapJQS2Uav1/Pee+8RExPD/fv3qVevHjNnzvzXRdD3799PUFAQhw4deulxx4wZw++//w7AnTt3sm2W1JIlS566jendu3d5/fXX6dSpE3Xq1CEhIQFN015odtT/0jSNK1eusG7dupc+lxAid1hZWREQEEBERASPHj1SHUcIIcxOqVKl6NSpkyyaLHKUTqdD0zQSEhJwcXGhU6dOvP7669y9e/eJr2nZsiVLlizJlvFHjhzJnTt3APj999+zZZbUoUOHCAoK4sCBA//4ntFoZMaMGdSvX5+0tDR2797Nu+++i16ffVWCn58fOp2OefPmZds5hemQUkpkO3d3d2JjYwkKCmLQoEH4+vpy8+bNvx3j6+uLk5MTn3766UuP5+Xlhbu7O/DHYoTZMUsqNTWVt99+m5IlS/7r96Ojo3FxcSEyMpIZM2awevVqypcv/9Lj/snNzY06derIjAshTIymaVy9epW1a9eqjiKEEGZJ0zT27t371BkfQmSH8uXLs2bNGqZPn05kZCR16tRhw4YN/3psyZIleeedd/6xc96LcHJyeryJkru7e7bMkho9ejROTk74+vr+7es3b96kd+/eDB48mKCgIPbt2/f4vis7lSxZEh8fH7n3MVNSSokcYWtry/Tp01m4cCEbN27E1dWVLVu2PP6+tbU1Y8eOJSoqipiYmJceb9SoUVhbWzN69OiXPhfAd999x7Vr1/jmm2/+9vV79+7xxhtv0LZtW6pWrcqhQ4cYOHBgtsyO+qs/P4GJiorK9WfVhRAvztXVFVdXV3lTJYQQivj4+FC8eHG5DotcodPpGDRoEIcOHaJKlSq0adOGN954g3v37v3tuG+++YYrV64wceLEbBl39OjRWFtbM2rUqJc+1+7du1m2bBmff/45VlZWj7++efNm6taty6ZNm1i0aBHTp0/H1tb2pcd7Ek3TiI2NJTExMcfGEHmTzvhvz1YJkY3Onz9PUFAQW7duZeTIkYwZMwYrKysyMjJwc3OjdOnSREdHZ/l8RqORm2kZXEpN51JqOpdT00lNzyTTCBY6KGxlQZlCljgUsqSsrSX21hbPlffixYtUq1aNN954g2+//fbx17du3cqrr77K5cuXmTBhAkOHDs3Waav/6/Lly5QrV46pU6cyePDgHBtHCJG9Jk2axCeffMKlS5coXry46jhCCGF23nrrLZYsWcK5c+ewsHi+94FCvKjMzEymTp3KRx99hIODA7/99tvfZjGNGDGCadOmceLECcqWLftc5zbevonxwjmMF89jvJiEMfkOpKeDhQXYFkZfpgK6suXRlasAJV55rg/Mvb29uXbtGnFxcej1eh49esRnn33G+PHj8fLyIjQ0lAoVKjxX3hfx8OFDypYty4ABA5gwYUKOjyfyDimlRK7IyMjg66+/ZsyYMTRs2JDw8HAqV65MVFQU3bt3Jzo6Gm9v76ee41GmkcO30oi9dp+r9zMA0Osg819+B+uBzP/+e4XCltQvVZBq9tZYZOEC/eqrr7JixQpOnDhB0aJFSU1NZdSoUUyePJmmTZvy22+/UbVq1ef8f+DFdOrUidu3bz/eXVAIkfdduXKFcuXK8eOPPzJ06FDVcYQQwuzs2bMHDw8P1q5dS7t27VTHEWbm5MmT9O/fn507dzJs2DDGjRtHwYIFuX37NlWrVqVr167Mnj37mecxZmRgPJZA5p7tGM+e+uOLej1kZv7z4L9+vXRZLDyaoXNxR2dl/dQxoqOjadu2LVFRUXTt2pVTp07h7+/Pvn37+Pzzz/noo49ytdh9++23WbRoEefOncPS0jLXxhVqSSklctXu3bvx9/fn+vXrTJs2DX9/f5o0aYLRaGT37t3/2uobjUYOXH/A5oupPMw0ogOe5zftn8fbWupoV6EwNYoWeOKx+/fvp0GDBvz000+88cYb7Nq1i/79+3Pu3Dm++uorhg0blqsX5sjISPr168exY8eoXr16ro0rhHg5nTt35vr16+zevVt1FCGEMDtGo5HatWtTr169bNntWYjnlZGRweTJkxk5ciSVKlUiODiYxo0b8/PPP/P2228TGxv71LWZMo8cJGPlYkhJBp0OnueW/c/jCxRA790ZfYPG6HT/fLrDaDTi4eGBhYUFO3fuJDw8nDfeeIOSJUsyd+5cPDw8XuRHfyn79u2jYcOGrF69mg4dOuT6+EINWVNK5KrGjRsTFxdH165dCQwMxGAwMGrUKPbs2cOyZcv+cfzttAwiTtxhXVIKD/87Jep5W9Q/j09JN7LkdDJLT98lNf2fnzAYjUaGDx9OzZo1MRgMfPTRRzRr1oxixYpx4MAB3n///VyfAt6tWzfs7e0JDQ3N1XGFEC9H0zRiYmI4duyY6ihCCGF2/lybc8mSJU/dEU2InGJhYcH7779PXFwcRYsWpWnTpnz00UcYDAZq1KjB8OHD/3WHcmPqPdIXhpAxP/iPQgqer5D66/FpaWSuWkRG8C8Yb9/8x2FRUVHs3buXUaNGERQURFBQEN26dSMuLk5JIQVQv359ateuLTtomhmZKSVy1J07d5g7dy7ly5enVq1aODo6Pi52wsLCGDp0KK+88grFixfnwYMHxMXFPf7+2eSHLDx1l/TM5y+inkYHFLTU4VfVnlIF/39a6NKlS+nRowc//PADM2bM4OTJk4wdO5YRI0YonT46ePBg1qxZw+nTp3N0DSshRPZ58OABZcqU4Y033uCrr75SHUcIIcxOUlISFStWZNasWQwYMEB1HGHG0tPT+fbbbxkzZgzVqlVj0KBBvPvuuyxdupRu3bo9Ps549RLpIb9AaioY/+URvRel14OFBRZ+r6N3+mMJkoyMDFxdXSlUqBDXr1/n+vXrTJ06lcDAwMffP3PmDEeOHCEpKQk/Pz/s7e2zL9NTTJgwgTFjxnD58uVcG1OoJaWUyFGHDh3Cy8uL27dvA2BjY0ONGjWoXbs2tWrVolixYsyYMYPExEQyMzMJDg7GYDBw+u5DFpy6i9GYvYXUn3SAtV5HQHV7XiloycOHD6lduzZGo5EzZ87g5uZGcHAwtWvX5uLFi5w6dYrTp09z6tQpzp49y2uvvUbz5s1zINk/7dy5k6ZNm7Jx40ZatWqVK2MKIV7e0KFDWblyJWfOnJFCWQghFGjXrh1paWl/2wFaiJy0bds2fv31VypVqkTlypVxcnKicuXKlC1blsTERDRNIz4+HkdHR/R6PYmJiVhbW2O8cpH0336Ghw+zt5D6k04HOj0W/q+hr1KD4OBg+vfvj16vx9nZmUGDBnHr1i0OHz7MkSNHOHbsGA8ePACgaNGibN26lTp16mR/rn9x8eJFKlSowPTp03n99ddzZUyhlpRSIscZjUaSkpI4cuTI4wvdn/9748YNAPR6PZmZmRQqVIgTV28TfuIOGTn8O1MH2Fjo0GoUZdynn/Dtt9+i0+lo0KABxYoV48yZM5w5c4aHDx8+fo2DgwNOTk588cUXz1yYPbsYjUaqV69O06ZNmTNnTq6MKYR4ebt27cLT0zNLGzkIIYTIfmFhYQQFBXHq1CmcnJxUxxFmIDo6mv/85z+cPn2ay5cvP/66tbU1jo6OODo6cvPmTWJjYzEajXz44Yd8/clHpM/4Hh7cf/5H9Z6LDiwtsNDewK5GbVJTU9HpdI8fIyxRosTjiQO1atV6/O/ly5d/rt38skP79u1JTU1l27ZtuTquUENKKaHUtWvXHhdU69evJ+nSZfrPXM7dh5k5MkPqf+mA8raWvNW4Mrdv3aJQoUJUrVr1b59sODk54eTkhKOjI4UKFcqFVP/0xRdf8M0333D58mUKFy6sJIMQ4vkYjUZq1KhB48aNZW0EIYRQICUlBQcHB0aMGMGYMWNUxxFmJjU1lTNnzjx+2uKv/3vy5ElSU1MpVrQoVyd9gTHp7L/vqpfddDqwL0bLiGU4lC9P27ZtHxdQpUqVyvnxsygiIoKAgABOnjxJlSpVVMcROUxKKZGnbEi6x75rD3KlkPqrJvaZ1LQ18sorr+T6JwFZcebMGZycnB4/3iiEMA1fffUV48aN4/Lly9jZ2amOI4QQZmfAgAFs2bKFkydP5sn3eMI8GY1Grl69ik3iAQptW5+7g+t06Bt7YdGua+6O+xxSU1NxcHDgvffeY+zYsarjiBwmi1yIPONyajp7FRRSAHvv6rEtXirPvllxdHSkZcuWMttCCBMTFBTE/fv3Wbx4seooQghhljRN49SpU+zYsUN1FCEe0+l0vFKoIIV2bcr9wY1GMndtwXgpKffHzqJChQrRp08fQkJCyMyNGWRCKSmlRJ6x92oqqiqhDCPEXX+gaPSs0TSNjRs3cv78edVRhBBZVLFiRVq1akVwcLDqKEIIYZaaN2+Oo6OjXIdFnpMZuwsyMtQMrteTsXurmrGzSNM0zpw5w/bt21VHETlMSimRJ6SmZ3Lk1sN/nSVlNBpZ/MX7fN6yGp/UK8XFY4eeeb5vfOqxPfyXLI9vBPZfv09GHn6atVevXhQsWJDQ0FDVUYQQz0HTNDZt2sTZs2dVRxFCCLOj1+sxGAzMnz+f+/fvq44jBADGjAwy9+184sLmRqORocvWU/rrn7H+bBJxl64+85zVvp/FlF37sxYgMxNjQhzG1HvPEztXNWvW7PHyJSJ/k1JK5AmHbjz5sb3jOzewf/k8tMnhjFyXQNq9ZIKHBTCunQuf1CtF4qZV2ZIhNd3I73cePvtARezs7OjZsyfBwcHIUnBCmI6ePXtia2srhbIQQigSFBTE3bt3Wbp0qeooQgBgPHEYUp5cCK09eYaQuESW+vfg3PDBrDx+iiYzwik+7kfKTZhGr7lRHLt+8yVDZJIZt+/lzpGDdDodBoOBBQsWkJqaqjqOyEFSSok84ey9R08spW6cP4NdydJUcm2EXcnSPHyQSpnqznT96OtszaDXwbl7j7L1nNlN0zSOHz9OTEyM6ihCiCwqXLgwvXr1IiQkRAplIYRQoGrVqjRt2lRmXIg8w3j6d9A/+Vb81M3blLGzpUnFsjjY2bLr3AWGNnRj2+t+rDL0JiMzE5/QRaQ8fLl7F+OZky/1+pxmMBhITk5myZIlqqOIHGSpOoAQAJdS0v/16wvGvMX+5ZEAfFKvFEXLVOCjlfup0bTNM8+ZlprCvJGDObJlDQVs7Wg5YBie/QY+8fhMI1x8Qo68olWrVpQvX57g4GAaN26sOo4QIos0TSMkJIRdu3bh6empOo4QQpgdTdMYMmQIFy9epGzZsqrjCDOXeeEsPGEB79eWrCE0/jAA1p9NopJ9EU689/rfjpnZvT3lvv2F/Rev0Nyx/OOvJz98SNDClaw4dooiBaz5sHkj3vRw//cQRiPGC+ey5wfKIZUrV6Z58+YEBwcTEBCgOo7IITJTSiiX/CiD+xn/Pnugy4hxtBn6MfalyzJyXQJvhq3L8nm3hfyEQ7XavBWxkZYDhrFy4qec2L35qa+5ej+dzDw8k8HCwoKgoCDmzZtHWlqa6jhCiCxq2bIlFStWlB00hRBCkT59+mBtbU14eLjqKMLMGTMz4crFJ35/UsdWjGnlSfkihTk3fDA7B/n/45g7D/64DyhW0Obvr92xjzqlSxEzOJAPmzdixJrNRP/+lDUtU1MwJt99sR8kl2iaRnR0NBcuXFAdReQQKaWEcnfSnrzNp41dEQoUskWnt8CuZGkKFyuZ5fNWcm1Ey1eHUapSFTz7DcTFu8szFz9PN/6xtlRepmkat2/fZvny5aqjCCGySK/XExQURGRkJA8e5O2dPoUQIj+yt7ene/fusjanUC/lHqQ/+ekMe5sC2FlbY6HT42BnSynbQn/7vtFo5IO1W2hasRwupf9+b+RZsSwfNm9E9ZLFeNPDnZ61qzNlV+xT4xhv33jxnyUX+Pr6YmNjQ1hYmOooIodIKSWUS8+hNwYV6zb8n/9uwLXTJ56dJzNvv1GpUaMGHh4esi6CECbGYDBw+/Ztli1bpjqKEEKYJU3TSExMZP/+LO5QJkROSH+5daCGrdpIwpXrhPbq9I/veZQv87f/blyhDEeftSD6o7y9pm6RIkXo0aOHFMr5mJRSQjldrg727NH0uRroxRgMBlavXs2VK1dURxFCZFH16tVp3LixFMpCCKFImzZtcHBwkOuwUOspC5w/y7urNrLi2O+s6+9LeXu7LL1G96y7rZfIk1sMBgNHjhxh3768u1ugeHF5/3egyPesc6gFOndo3//8dyylHKs+83VWJtBK9evXDwsLCyIiIlRHEUI8B03TWLt2LZcvX1YdRQghzI6lpSWBgYFERETw8OFD1XGEubKyfu6XGI1Ghq3cwNIjJ1ir+eJUzP5fj9uTdOlv/x2TdIkaJYtle57c1qZNG8qWLSuFcj4lpZRQrriNxXMdn5Z6j4vHDnHx2CEAbl04x8Vjh7h9Kelvx52N38OWOT9y7ezv7Ir8lYToZTT1G/TUcxe00FHQMu//sShevDhdunSRC7MQJqZv375YWlrKQrtCCKGIpmncuHGDVatWqY4izFXBQn/88xzeWbmRiINHCenVCTtray4np3A5OYX7//Po3c7zF/lu+16OX7/FtD1xLEo8zluN6z313LpSpZ/7R8htFhYWBAYGMnfuXNnsKR/K+3ffIt8rYKGnqHXWfyteOBzPj36t+dGvNQArJ33Kj36tWf/L1387rnngG1w48sexG2dNpNN7Y6nu2fqp5y5ja/n8P4AimqYRHx9PfHy86ihCiCwqVqwYXbt2lV34hBBCERcXF+rVqyfXYaGMTqdDV67ic71m+r547qSl0WbOAipOnP74nwUJx/923LtN6rP/0hUaTQ9l3JbdTGjfgnZVHZ984mIl0FkXeIGfIvdpmsbNmzelUM6HdEZZLUzkAcvPJHP4VhoqfzPqAE+HgjQvY6swRdY9evSIcuXKERQUxMSJE1XHEUJk0cqVK+ncuTMHDhzAzc1NdRwhhDA7U6ZMYcSIEVy6dIkSJUqojiPMUMamNWRu3wCZT96FPMfp9Ohc3LDsGaAuw3Nq2LAh5cqVY+nSpaqjiGwkM6VEnlDV3lppIQVgBKrZm8YnBQBWVlYEBAQQHh5O+lO2lRVC5C3t27fnlVdekcdvhRBCET8/P4xGI3PnzlUdRZgpfQ1ntYUUgDHzjxwmRNM0Vq5cybVr11RHEdlISimRJ1S3t6aghboFxnWAQ0ELHAqZzuN78MdOFFeuXGHt2rWqowghssjS0vJxofwoj2/DLIQQ+VGpUqXo1KmTfDgglDAajew4dZZT9x+itJYqZIuuZh2VCZ5bv3790Ol0UijnM1JKiTzBQq/DvZTNszYszTFGoH6pgopGf3Fubm7UqVNH3lQJYWI0TePatWusWbNGdRQhhDBLmqaxb98+Dh8+rDqKMBPp6eksWLCAxo0b07x5c2bHH1F3M67ToW/gic7i+TacUq1kyZL4+PjIvU8+I6WUyDPqlyyItT73aykdUNRaT61ipvPo3p90Oh2aphEVFcWtW7dUxxFCZJGrqyuurq7ypkoIIRTx8fGhePHich0WOS45OZnJkydTrVo1+vTpg62tLStWrGBc1EooVgJ0Cj6Wty6AvlHT3B83G2iaxv79+0lISFAdRWQTKaVEnmFrpaddhdxfZNwIdHG0w1JBIZYdAgICyMjIYP78+aqjCCGeg6ZpLF++nJs3b6qOIoQQZqdAgQL4+fkRFhZGRkaG6jgiH7pw4QIfffQRFSpUYMSIETRt2pTY2Fg2btyIj48PFtYFsOjhBwr2HbPw6YXO1i7Xx80OnTp1okSJErKDZj4ipZTIU2oXK0DVIla59hifDmj0SkHK2Vrl0ojZz8HBgfbt28snfUKYGH9/fzIyMoiMjFQdRQghzJKmaVy8eJENGzaojiLykfj4eAwGA46Ojvzyyy8MGjSIU6dOERYWRr169f52rL6CE/omLXJvtpROj66GMzoX99wZLwdYW1vj7+9PWFiYbPaUT0gpJfIUnU6HTyU7ihWwyPFiSgdUKGyJV5lCOTxSztM0jV27dnH8+HHVUYQQWVS6dGk6duwohbIQQijSoEEDatWqJddh8dKMRiOrV6+mTZs2uLm5sWXLFiZMmMD58+eZMGECFSpUeOJr9a07oqtYOeeLKb0eipfAomtfdCoeGcxGmqZx6dIloqOjVUcR2UBKKZHnFLTU41etCEUL6HOsmNIBZW0t6VW5iMk+tvdXXbt2xd7eXqaxCmFiDAYDMTExHDt2THUUIYQwOzqdDoPBwJIlS7h7967qOMIEPXjwgF9//RUXFxc6derE3bt3mTdvHr///jvvvfceRYoUeeY5dJZWWPgNgHIVc66Y0umhaHEstaHoCuX+cinZrV69etSuXVsK5XxCSimRJ9lZWRBUrSiPrl/EmAPPWVezt6ZfVXsKWOSPPwI2Njb07duX0NBQMjOVbi4rhHgOXbp0oWjRovKmSgghFAkMDOTBgwcsWLBAdRRhQm7cuMGXX36Jo6MjAwcOpGrVqmzZsoWYmBj69u2LpaXlc51PV8AGS8MQdDWccyZwuQpYDngbnZ19zpw/l/252dPSpUu5c+eO6jjiJeWPO3KRL21at5r/dHDH8vdYLHS89KwpHVBAr6NLpcL0cLLDKh/MkPorTdM4d+4cmzdvVh1FCJFFNjY29OvXj9DQUFloVwghFChfvjxt2rSRDwdElpw4cYI33niDChUq8NVXX9GjRw+OHj1KVFQUXl5eL/VYnM7KGos+/bHo4Q8FCvwxu+ll6PRgYYG+XVcsX30LnW3hlztfHhMYGMjDhw9ls6d8QGfMiWkoQrykpKQk3NzcaNKkCcuWLeNmWgZbLqZy4s5D4I8d856HhQ6cixXAq6wtha3yZxdrNBqpUaMGnp6ezJkzR3UcIUQW7d69myZNmhAdHY23t7fqOEIIYXbCw8MJDAzk999/p3LlyqrjiDzGaDSyY8cOJk6cSFRUFKVKleKtt95i6NChlCxZMmfGvHeXjI2rMR6MhYxMnuvu57/FmK6GCxZtfNCVKJUjGfOCDh06kJKSwrZt21RHES9BSimR56Snp9O6dWtOnz5NXFwcJUqUePy95IcZxN9I4+DNB9x9+Mdjajr+/vi10fj/l+0SBSxwLWlD3eIFsLHMn2XUX3355Zd8/fXXXL58mcKF89enIULkV0ajkZo1a+Lh4SHrwgkhhAKpqamULl2aESNGMGbMGNVxRB6Rnp7O4sWLmThxInv27KFWrVq8//77BAYGYmNjkysZjPdTyYzbS+b+3XD96h9f1On+PovKmPnHDRCAfTH0bg3R12uMrkj+eFTvaebOnYu/vz8nT56kSpUqquOIFySllMhz/vOf/zBu3Dg2b95Ms2bNnnjc/fRMrqSmc+V+Og8yjGQY/5gRVchSj0MhS0oXtMTaIn89ovcsZ86cwcnJieDgYAwGg+o4Qogs+uqrrxg3bhyXL1/Gzs5OdRwhhDA7AwYMYMuWLZw8edLkdyYTLyc5OZlff/2VyZMnc+bMGVq3bs3w4cPp0KEDer26D7mNaQ8wXr6I8VISpNyDjHSwsASbgujKlENXpjy6gqa/q/jzSE1NxcHBgffee4+xY8eqjiNekJRSIk/ZsGEDbdu25csvv2TkyJGq45ikVq1aodfr2bBhg+ooQogsOnfuHI6OjsyePZv+/furjiOEEGZny5YttGzZkq1bt9K8eXPVcYQCSUlJ/Pjjj0yfPp2UlBT69u3L8OHDcXd3Vx1NPMXrr7/Ohg0b+P3335WWhuLFSSkl8owrV67g6upK3bp1WbNmjVxUXtCcOXMYMGAAZ86coWLFiqrjCCGyyNvbm8zMTDZt2qQ6ihBCmJ3MzEyqVKmCt7c3s2bNUh1H5KK4uDgmTpzIvHnzKFSoEIMHD+add96hfPnyqqOJLNi2bRteXl5s3ryZFi1aqI4jXoDc9Ys8ITMzk6CgIABCQ0OlkHoJvXr1omDBgoSGhqqOIoR4DpqmsXnzZs6cOaM6ihBCmB29Xo/BYGD+/PmkpqaqjiNymNFoZPXq1Xh7e+Pu7s62bdv49ttvSUpKYsKECVJImZBmzZpRuXJl2UHThMmdv8gTvvnmG6KjowkLC6N06dKq45g0Ozs7evXqRUhICDIRUgjT0bNnT2xtbQkLC1MdRQghzJLBYCA5OZmoqCjVUUQOefDgAb/++isuLi506tSJ5ORk5s2bx8mTJ3n33XdlXUcTpNPpMBgMLFiwQAplEyWllFBux44dfPrpp4waNYo2bdqojpMvaJrG8ePHiYmJUR1FCJFFhQsXpnfv3lIoCyGEIlWqVKFZs2Yy4yIfun79Ol988QWVKlVi4MCBVKtWja1btxITE0Pfvn2xtLRUHVG8hKCgIO7du8eSJUtURxEvQNaUEkrduHEDd3d3HB0d2bhxo/yFkE0yMjJwdHSkc+fOTJs2TXUcIUQWbdy4EW9vb3bs2IGnp6fqOEIIYXZmzpzJkCFDOH/+PGXLllUdR7ykEydO8P333zNnzhyMRiP9+/fnvffeo3r16qqjiWzm5eWFjY0N69atUx1FPCeZKSWUMRqNvPrqq6SmphIRESGFVDaysLAgKCiIefPm8eDBA9VxhBBZ1LJlSypWrCif0gshhCJ9+vTB2tpaHqU2YUajkW3bttG9e3dq1KjBokWL+OSTTzh//jzTpk2TQiqf0jSN6OhokpKSVEcRz0lKKaHM5MmTWb58OcHBwbKYYA7QNI3bt2+zfPly1VGEEFmk1+sJCgoiMjKS+/fvq44jhBBmx97enu7duxMcHCyPUpuY9PR05s+fj4eHB15eXhw/fpyZM2dy9uxZPv30U0qWLKk6oshBvr6+2NjYSKFsgqSUEkrs27ePDz/8kPfffx8fHx/VcfKlGjVq4OHhITMuhDAxBoOBO3fusGzZMtVRhBDCLGmaxuHDh4mNjVUdRWRBcnIyP/zwA1WrVqVv377Y2dmxcuVKEhISeO2117CxsVEdUeSCIkWK0KNHDymUTZCsKSVy3Z07d6hXrx4lSpRg+/btWFtbq46Ub02bNo23336bCxcuyK6GQpgQT09PihUrxsqVK1VHEUIIs5ORkUGFChXo3bs3U6ZMUR1HPEFSUhJTpkxhxowZpKSk0K9fP95//33c3d1VRxOKrFu3jvbt27Nnzx4aNmyoOo7IIpkpJXKV0Whk0KBB3Lhxg8jISCmkcljfvn2xsLAgIiJCdRQhxHPQNI21a9dy+fJl1VGEEMLsWFhYEBgYSEREBA8fPlQdR/yPuLg4goKCcHJyYsaMGQwaNIjTp08TGhoqhZSZ8/b2pmzZsvKkiImRUkrkqpkzZzJ//nxmzZqFk5OT6jj5XvHixenSpYtcmIUwMX369MHS0pLw8HDVUYQQwiwZDAZu3LjBqlWrVEcRQGZmJqtWrcLb2xt3d3e2bdvGt99+y/nz55kwYYKsTyuA/y+U586dS1pamuo4IouklBK55uDBgwwbNoyhQ4fSu3dv1XHMhqZpxMfHEx8frzqKECKLihUrRteuXWVdBCGEUMTFxYV69erJB3uKPXjwgF9//RUXFxd8fHxITk4mMjKSkydP8u6772JnZ6c6oshjNE3j5s2bsgSCCZFSSuSKlJQU+vbtS/Xq1Zk0aZLqOGalQ4cOlCpVSt5UCWFiNE3jXhaWcQAATEhJREFU0KFDxMXFqY4ihBBmSdM0Vq5cyfXr11VHMTvXr1/niy++oFKlSgwcOJDq1auzdetWYmJiHs8mFuLf1K5dmwYNGsi9jwmRUkrkirfeeovz588TGRkpO2DkMisrKwICAggPD+fRo0eq4wghsqh9+/aULl1a3lQJIYQifn5+GI1G5s6dqzqK2Th+/DhDhw6lYsWKjB8/nl69enH06FGWLl1K8+bN0el0qiMKE6BpGqtWreLatWuqo4gskFJK5LiQkBDmzJnDtGnTqFmzpuo4ZknTNK5evcq6detURxFCZJGlpSUBAQFERERIoSyEEAqUKlUKHx8fQkJCVEfJ14xGI9u2baN79+7UrFmTxYsX88knn3Du3DmmTp1K9erVVUcUJqZfv37odDoplE2ElFIiRx07dow33ngDTdMICgpSHcdsubq6UqdOHZlxIYSJMRgMXLt2jTVr1qiOIoQQZslgMLBv3z4OHz6sOkq+k56eTmRkJB4eHnh5eXHixAlmzpzJ2bNn+fTTTylZsqTqiMJElSxZEh8fH7n3MRFSSokcc//+ffr06UOFChX46aefVMcxazqdDk3TiIqK4tatW6rjCCGyyNXVFVdXV3lTJYQQivj4+FC8eHG5Dmej5ORkfvjhB6pWrUq/fv0oUqQIq1at4tChQ7z22muy1IfIFpqmsX//fhISElRHEc8gpZTIMcOHD+f48eNERkZSuHBh1XHMXkBAABkZGURGRqqOIoR4DpqmsXz5cm7evKk6ihBCmJ0CBQrg5+dHWFgYGRkZquOYtKSkJD788EMqVKjABx98QPPmzTlw4ADR0dF07NgRvV5uTUX26dSpEyVKlJBC2QTIn3yRIxYsWMC0adP44YcfqFu3ruo4AnBwcKB9+/ZyYRbCxPj7+5ORkcG8efNURxFCCLOkaRoXL14kOjpadRSTdODAAQIDA3FycmLGjBkMHjyY06dPExoaipubm+p4Ip+ytrbG39+fsLAw0tPTVccRT6EzGo1G1SFE/nLq1Cnc3d3p0KED8+bNk10y8pD58+fTt29fjh49So0aNVTHEUJkUZcuXbh69SoxMTGqowghhNkxGo04Ozvj5uZGRESE6jgmITMzkzVr1jBx4kQ2btxIpUqVeO+99xgwYAB2dnaq4wkzERsbS4MGDVi1ahUdO3ZUHUc8gcyUEtnq4cOH9OvXj5IlSzJjxgwppPKYrl27Ym9vT2hoqOooQojnoGkae/bs4ejRo6qjCCGE2flzbc4lS5Zw9+5d1XHytAcPHjBr1ixcXFzw8fHh3r17REZGcvLkSYYNGyaFlMhV9erVw9nZWXbQzOOklBLZ6pNPPiEuLo7IyEjs7e1VxxH/w8bGhr59+xIaGkpmZqbqOEKILOrcuTNFixaVN1VCCKFIQEAAaWlpLFiwQHWUPOn69et8/vnnVKpUiUGDBlGjRg22bdvG7t276dOnD5aWlqojCjOk0+kwGAwsXbqUO3fuqI4jnkBKKZFtVqxYwaRJk5gwYQINGjRQHUc8gaZpnDt3js2bN6uOIoTIIhsbG/r160doaKgstCuEEAqUL1+eNm3ayNqc/+P48eMMHTqUihUr8vXXX9OrVy+OHTvGkiVLaNasmTw1IZQLDAzk4cOHzJ8/X3UU8QSyppTIFklJSbi6utKsWTOWLl0qfwHlYUajkRo1atCkSRN5YyWECdm9ezdNmjRh/fr1tGnTRnUcIYQwO+Hh4QQGBvL7779TuXJl1XGUMRqNbNu2jYkTJ7J8+XJeeeUV3nrrLYYMGULJkiVVxxPiHzp06MC9e/fYvn276ijiX8hMKfHS0tPT8fPzo1ChQsyePVsKqTzuz2msixYt4t69e6rjCCGyyMPDg+rVq0uZLIQQivTo0QM7OzuzfZQ6PT2dyMhIPDw8aNGiBSdPnmTmzJmcOXOG0aNHSyEl8ixN09ixYwcnT55UHUX8CymlxEsbO3Ysu3btYu7cuZQoUUJ1HJEFQUFBpKSksGjRItVRhBBZ9OdCu4sXLyY5OVl1HCGEMDuFChXC19eXkJAQs1qbMzk5me+//56qVavSr18/ihQpwqpVqzh06BCvvfYaNjY2qiMK8VTdu3enSJEiZlso53VSSomXEh0dzVdffcXnn39Os2bNVMcRWVSpUiVatWolF2YhTExgYCD379+XQlkIIRTRNI3Tp0+zY8cO1VFy3Pnz5/nggw8oX748H374Ic2bN+fAgQNER0fTsWNH9Hq5lRSmoWDBgvTp00c2e8qjZE0p8cKuXLmCq6srdevWZc2aNfIXk4mZM2cOAwYM4MyZM1SsWFF1HCFEFnl7e5OZmcmmTZtURxFCCLOTmZlJlSpV8Pb2ZtasWarj5IgDBw4wceJEIiMjsbW1ZfDgwbz99tuUL19edTQhXti2bdvw8vJi8+bNtGjRQnUc8RfSIogXkpmZSWBgIAChoaFSSJmgXr16UbBgQUJDQ1VHEUI8B03T2Lx5M2fOnFEdRQghzI5er8dgMDB//nxSU1NVx8k2mZmZrFy5ktatW1OvXj22b9/Od999x/nz5/nmm2+kkBImr1mzZlSuXFnW5syDpEkQL+Trr79mw4YNhIeHU7p0adVxxAuws7OjV69eBAcHIxMmhTAdPXv2xNbWVgplIYRQxGAwkJyczNKlS1VHeWkPHjxg1qxZuLi40LlzZ1JSUoiMjOTkyZMMGzYMOzs71RGFyBZ/bva0YMECUlJSVMcRfyGllHhu27dv59NPP2XUqFF4e3urjiNegqZpnDhxgt27d6uOIoTIosKFC9O7d29CQkKkUBZCCAWqVKlCs2bNTHrGxfXr1/n888+pVKkSgwYNokaNGmzbto3du3fTp08fLC0tVUcUItsZDAbu3bvHkiVLVEcRfyFrSonncuPGDdzc3HBycmLjxo3yF5aJy8zMxNHRkU6dOvHLL7+ojiOEyKJNmzbRunVrtm/fTtOmTVXHEUIIszNr1iwGDx7MuXPnKFeunOo4WXbs2DG+//57goOD0el09O/fn/fee49q1aqpjiZErmjRogXW1tasX79edRTxXzJTSmSZ0Wikf//+3L9/n4iICCmk8gG9Xk9QUBCRkZE8ePBAdRwhRBa1aNGCihUryg6aQgihiK+vL9bW1oSHh6uO8kxGo5GtW7fSrVs3atWqxdKlSxk1ahTnzp1j6tSpUkgJs6JpGhs2bCApKUl1FPFfUkqJLPvhhx9YsWIFwcHBsthhPmIwGLh9+zbLly9XHUUIkUV/LZTv37+vOo4QQpgde3t7unfvnqfX5kxPTycyMpJGjRrRokULTp48yaxZszhz5gyjR4+mZMmSqiMKket69+6NjY0NYWFhqqOI/5JSSmTJ3r17+eijjxg+fDg+Pj6q44hsVKNGDTw8PEx6XQQhzJHBYODOnTssW7ZMdRQhhDBLmqZx+PBhYmNjVUf5m/9r774DoygT94E/m002CekdSIMExVCDhCLlKKL0XkIKO8hXRSmnot6hcgfeneVOAiLeKZ0ECBBCEQhdkN5EaR5IEEI2tPS+m2yy8/vDHzlQxAWSfXc2z+cfj0BmHsLN7DvPvPNOSUkJ5s6di2bNmmHs2LHw8PDAtm3bcP78eUyYMAFOTk6iIxIJ4+7ujuHDh1t1oVzfcE0p+l1FRUVo164d/Pz8cPDgQWg0GtGRqJZ98cUXmDp1Kq5fv863KRIpSJcuXeDp6Ylt27aJjkJEVO9UV1cjODgYI0eOxPz580XHgU6nw2effYaFCxeivLwcMTExmDZtGiIjI0VHI7Iqu3btQt++fXH8+HF07NhRdJx6jzOl6IFkWcZLL72E/Px8rFmzhoWUjYqOjoZarVbEughE9D+SJGHnzp24efOm6ChERPWOWq1GfHw8Vq9ejcrKSmE5vv/+e8THxyMsLAyLFi3CK6+8gqtXryIpKYmFFNF9PPvsswgMDOSTIlaCpRQ90MKFC7Fu3TosXrwYTZs2FR2H6oi3tzeGDBnCEzORwowZMwYODg4slImIBNFqtcjLy0NaWppF92symZCWlobevXvj6aefxuHDhzF79mzodDr885//5PqvRA9wd6FcUVEhOk69x1KKftPZs2fx2muv4dVXX8WoUaNEx6E6ptVqcfbsWZw5c0Z0FCIyk5eXV02hzKfxiYgsr1WrVnj66act9jZUg8GAxYsXo1WrVhg0aBDKysqQkpKC9PR0vPbaa3Bzc7NIDiKl02q1KCgosHihTL/GUoruq7S0FGPGjEHz5s0xZ84c0XHIAvr16wc/Pz/OliJSGEmScP78eZw+fVp0FCKiekmSJKSlpSE3N7fO9pGbm4u//e1vCA0Nxcsvv4zmzZvj4MGDOHbsGEaPHg17e/s62zeRLWrRogWioqJ47WMFWErRfU2ZMgVZWVlISUnhGzrqCQcHB8TFxWHVqlUwGo2i4xCRmfr27YuAgAAOqoiIBImJiYEsy1i9enWtb/vHH3/EK6+8guDgYHz88ccYNWoUfvzxR2zcuBHdunWDSqWq9X0S1ReSJGHbtm3IyckRHaVeYylFv5KYmIjExER88cUXaN68ueg4ZEGSJCE7Oxs7d+4UHYWIzGRvb4+4uDgkJyezUCYiEsDPzw8DBw6stZsDsizjwIEDGDp0KCIiIrBp0ya899570Ol0+Pe//40nnniiVvZDVN/FxMRApVIhOTlZdJR6jaUU3ePixYuYNGkSxo8fj3HjxomOQxYWGRmJNm3acMYFkcJIkoScnBxs375ddBQionpJkiScOnUKP/zwwyNvo6qqCmvWrEHHjh3Ro0cPXL58GYsXL0ZGRgZmzJgBHx+fWkxMRD4+Phg0aBCvfQRjKUU19Ho9oqOjERISgs8//1x0HBJEkiRs3rwZ+fn5oqMQkZnatGmDyMhIDqqIiAQZOHAgvL29H+k8XFxcjLlz5yI8PBwxMTHw8PDA9u3bcf78eUyYMIFLaRDVIUmS8P333+PcuXOio9RbLKWoxrRp03Dp0iWsXbsWLi4uouOQILGxsaiurkZKSoroKET0ELRaLbZs2cJCmYhIAI1Gg5iYGKxcuRLV1dVmfY9Op8Pbb7+N4OBg/OlPf0KPHj3w/fffY8+ePejXrx/XiyKygP79+8PHx8dib9CkX2MpRQCAdevW4csvv8S8efPQpk0b0XFIoIYNG6Jv376ccUGkMLGxsTCZTFizZo3oKERE9ZIkSbh58yb27NnzwD/33XffIS4uDmFhYVi0aBFeffVVZGRkICkpCZGRkZYJS0QAfi6UY2NjsXLlSlRVVYmOUy+pZFmWRYcgsa5cuYJ27dqhX79+WLNmDe/KEFJSUhAdHY2LFy9ysXsiBRk8eDCys7Nx/Phx0VGIiOodWZbRsmVLREZG/mrhZJPJhO3btyMhIQH79u1DkyZN8Prrr2PChAlwc3MTlJiIAODUqVOIiorCtm3b0L9/f9Fx6h3OlKrnKisrER0dDV9fXyxcuJCFFAEAhgwZAk9PT05jJVIYSZJw4sQJXLx4UXQUIqJ6R6VSQZIkbNy4EUVFRQAAg8GARYsWoWXLlhg0aBDKy8uRkpKC9PR0vPbaayykiKzA008/jZYtW/JJEUFYStVz06dPx5kzZ7B27Vp4eHiIjkNWwsnJCdHR0VixYgVMJpPoOERkpsGDB8PLy4uDKiIiQeLj41FZWYmlS5fib3/7G0JCQjBx4kRERETg0KFDOHr0KEaPHg17e3vRUYno/7tTKG/atAmFhYWi49Q7LKXqsS1btmDu3Ln417/+haioKNFxyMpIkgSdTod9+/aJjkJEZnJ0dMTYsWOxYsUKsxfaJSKi2lNaWorGjRvjrbfewscff4zRo0fjxx9/xIYNG9C1a1c+lUBkpeLi4mA0GvmyJwG4plQ9pdPpEBkZiW7dumHTpk38gKRfkWUZzZs3xzPPPMNZF0QKcuzYMTzzzDPYvXs3+vTpIzoOEZHNk2UZBw4cQEJCArZs2QIPDw8UFRXh5MmTvPFLpCD9+vVDaWkpDh06JDpKvcKZUvVQVVUVYmJi4OLigmXLlrGQovtSqVTQarVYv349SktLRcchIjN16tQJTz75JMtkIqI6VlVVhTVr1qBjx47o2bMnrly5giVLluDq1atwc3PD1q1bRUckoocgSRIOHz6My5cvi45Sr7CUqodmzZqFY8eOYfXq1fD29hYdh6zYuHHjUFZWhvXr14uOQkRmurMuwoYNG1BSUiI6DhGRzSkuLsacOXMQHh6OmJgYeHp6Yvv27Th37hwmTJgALy8vjB49GklJSVybk0hBhg0bBnd3d77sycJYStUzu3fvxocffoi///3v6Nq1q+g4ZOVCQ0PRq1cvzrggUphx48ZBr9cjNTVVdBQiIpuh0+nw9ttvIzg4GH/+85/Rs2dPnD59Grt370a/fv3uefpAkiRcvXqVjwERKYizszPGjBnDQtnCuKZUPXLr1i20bdsWbdu2xY4dO2Bnx06Sfl9iYiLGjx+PjIwMhIaGio5DRGbq06cPqqqq8M0334iOQkSkaN999x0SEhKQkpICV1dXTJw4EVOnTkVgYOBvfo/JZEKzZs3Qq1cvLFmyxIJpiehxHDp0CN27d8e+ffvQs2dP0XHqBbYS9UR1dTXi4+NhZ2eHFStWsJAis40cORINGjTAihUrREchoocgSRL279+Pq1evio5CRKQ4JpMJW7duRa9evdC+fXscPXoUCQkJ0Ol0+Pjjjx9YSAGAnZ0dtFot1q1bh/LycgulJqLH1bVrV4SFhfFJEQtiM1FPfPzxx9i7dy9WrlyJgIAA0XFIQVxdXTFy5EgkJSWBEyuJlGP48OFwcXHBypUrRUchIlIMg8GARYsWoWXLlhg8eDD0ej3WrVuHS5cu4Y9//CNcXV3N3ta4ceNQUlKCTZs21V1gIqpVd172lJqairKyMtFx6gWWUvXAwYMH8de//hXvvfcenn32WdFxSIEkSUJ6ejqOHTsmOgoRmcnV1RWjRo1ioUxEZIacnBy8//77CAkJwcSJExEREYFDhw7h6NGjGDVqFOzt7R96m+Hh4ejWrRtnXBApjFarRWlpKTZu3Cg6Sr3ANaVsXG5uLiIjIxEWFoa9e/c+0gcqkclkQpMmTTBgwAB8+eWXouMQkZn27duH3r1749ChQ3y5BRHRffz444+YM2cOkpKSoFKpMGHCBLz++uto1qxZrWx/8eLFmDhxIjIzM3/3kT8ish49evSARqPB7t27RUexeZwpZcNkWcb48eNhMBiQnJzMQooemZ2dHcaNG4e1a9fCYDCIjkNEZurRowdCQ0N5l56I6C6yLGP//v0YMmQInnrqKXz11VeYMWMGdDodPv/881orpABg9OjR0Gg0fJSaSGEkScLXX38NnU4nOorNYyllw+bOnYu0tDQkJiYiKChIdBxSOK1Wi8LCQmzevFl0FCIy092Fsl6vFx2HiEgoo9GI1atXo0OHDujZsyeuXLmCpUuX4tq1a3jvvffg4+NT6/v08PDA8OHDkZiYyEepiRRk1KhRcHJyYqFsASylbNSJEycwffp0TJs2DQMHDhQdh2xA8+bN0alTJ864IFKYcePGobi4GF999ZXoKEREQhQXF2POnDlo1qwZYmNj4eXlhR07duDcuXN44YUX4OjoWKf712q1uHDhAr799ts63Q8R1R53d3cWyhbCNaVsUGFhIZ5++mn4+fnh4MGD0Gg0oiORjfjiiy8wdepUZGVloWHDhqLjEJGZunTpAk9PT2zbtk10FCIii9HpdJg3bx4WLVoEvV6PmJgYTJs2DW3btrVojurqagQHB2PkyJGYP3++RfdNRI9u165d6Nu3L44fP46OHTuKjmOzOFPKxsiyjJdeegn5+flYs2YNCymqVdHR0VCr1UhOThYdhYgegiRJ2LlzJ27evCk6ChFRnTt16hRiY2PRtGlTLFmyBJMmTcLVq1eRmJho8UIKANRqNeLj47F69WpUVlZafP9E9GieffZZBAYG8kmROsZSysYsWLAAqampWLx4MZo2bSo6DtkYb29vDBkyhCdmIoWJjo6Gg4MDVq1aJToKEVGdMJlM2Lp1K3r16oWoqCgcO3YMc+bMgU6nw0cffST8zXeSJCEvLw9paWlCcxCR+e4ulCsqKkTHsVkspWzImTNn8Prrr2PSpEkYNWqU6DhkoyRJwtmzZ3H69GnRUYjITJ6enhg6dCjXRSAim6PX67Fw4UK0bNkSgwcPhsFgwLp165Ceno4//vGPcHV1FR0RANCyZUu0b9+eN/aIFEaSJBQUFGDr1q2io9gsllI2orS0FGPGjMFTTz2FhIQE0XHIhvXt2xf+/v4cVBEpjCRJOH/+PL7//nvRUYiIHltOTg7ef/99hIaG4pVXXkFERAQOHz6Mo0ePYtSoUVCr1aIj/ookSUhLS0NOTo7oKERkpoiICHTo0IHXPnWIpZSNmDx5Mq5fv461a9fCyclJdByyYQ4ODoiNjcWqVatgNBpFxyEiMz3//PMICAjgoIqIFO3HH3/ExIkTERISgn/9618YM2YMLl26hA0bNqBLly6i4z3Q2LFjAQCrV68WnISIHoZWq8X27duRnZ0tOopNYillAxITE5GUlIQvv/wSzZs3Fx2H6gFJkpCTk4OdO3eKjkJEZrK3t0dcXBySk5NZKBORosiyjP3792Pw4MF46qmnsHnzZvzlL3+BTqfD559/jmbNmomOaBY/Pz8MHDgQSUlJoqMQ0UOIiYmBSqVioVxHWEop3IULFzBp0iSMHz8e8fHxouNQPREZGYk2bdpwxgWRwkiShNzcXGzfvl10FCKi32U0GrF69Wp06NABPXv2REZGBpYuXYqMjAy8++678Pb2Fh3xoUmShFOnTuGHH34QHYWIzOTj44NBgwbx2qeOsJRSML1ej+joaISEhODzzz8XHYfqGUmSsHnzZuTn54uOQkRmatOmDSIjIzmoIiKrVlxcjISEBISHhyM2Nhbe3t7YsWMHzp49ixdeeAGOjo6iIz6ygQMHwsfHh+dhIoWRJAnff/89zp07JzqKzWEppWBvvPEG0tPTkZKSAhcXF9FxqJ6Ji4tDdXU11q5dKzoKET0ESZKwZcsW5OXliY5CRHSPzMxMvPXWWwgKCsI777yDXr164fTp09i1axf69u0LlUolOuJj02g0iImJwcqVK1FVVSU6DhGZqX///vD19WWhXAdYSilUSkoKFixYgHnz5qF169ai41A9FBAQgH79+vHETKQwsbGxMJlMWLNmjegoREQAgFOnTiE2NhZhYWFYsmQJJk+ejIyMDCQmJqJt27ai49U6SZJw8+ZN7NmzR3QUIjKTRqNBbGwsC+U6oJJlWRYdgh7OTz/9hKeffhr9+/fH6tWrbeKuESlTSkoKoqOjcfHiRS6yT6QggwcPxu3bt3HixAnRUYionjKZTNi2bRtmz56N/fv3o2nTpnjjjTfwwgsvwNXVVXS8OiXLMlq2bIm2bdty4WQiBTl16hSioqKQlpaGAQMGiI5jMzhTSmEqKioQHR0NPz8/LFy4kIUUCTVkyBB4enryLTJECiNJEk6ePIkLFy6IjkJE9Yxer8fChQvRokULDB48GBUVFVi3bh3S09MxdepUmy+kAEClUkGSJGzatAlFRUWi4xCRmZ5++mm0bNmS1z61jKWUwkyfPh1nz57FmjVr4O7uLjoO1XNOTk6Ijo7GihUrYDKZRMchIjMNHjwYXl5eHFQRkcVkZ2dj1qxZCA0NxSuvvIKWLVvi8OHDOHr0KEaNGgW1Wi06okXFx8ejsrIS69atEx2FiMx0d6FcWFgoOo7NYCmlIJs3b8ann36KTz75BFFRUaLjEAH4ecaFTqfDvn37REchIjM5Ojpi7NixWLFiBaqrq0XHISIbdvHiRUycOBEhISH45JNPEB0djfT0dKxfvx5dunQRHU+YwMBA9OnTh2tzEilMfHw8jEYjUlJSREexGVxTSiEyMzMRGRmJ7t27Y9OmTXxsj6yGLMto3rw5OnfuzFkXRApy/PhxdO7cGbt27cJzzz0nOg4R2RBZlrF//34kJCRg69ataNiwIaZOnYpXXnkF3t7eouNZjeTkZMTFxeHy5csIDw8XHYeIzNS/f38UFxfj8OHDoqPYBM6UUoCqqirExsbC1dUVy5YtYyFFVuXONNb169ejpKREdBwiMlPHjh3RvHlz3qUnolpjNBqRnJyMqKgo9OrVCxkZGVi2bBkyMjLw7rvvspD6hWHDhsHNzY039YgURpIkHDlyBOnp6aKj2ASWUgowc+ZMHDt2DKtXr+aHOVml+Ph4lJeXY/369aKjEJGZVCoVtFotNmzYgOLiYtFxiEjBioqKkJCQgPDwcMTFxcHHxwc7duzA2bNnMX78eDg6OoqOaJUaNGiA0aNHIykpiWtzEinI0KFD4e7uzkK5lrCUsnK7d+/GRx99hH/84x/o2rWr6DhE9xUaGopevXpxxgWRwowbNw4GgwGpqamioxCRAmVmZuLNN99EcHAw3nnnHfTu3RtnzpzBrl270LdvX87uN4MkScjIyMDBgwdFRyEiMzk7O2PMmDEslGsJ15SyYrdu3ULbtm0RGRmJ7du3w86OHSJZr8TERIwfPx4ZGRkIDQ0VHYeIzNSnTx9UVVXhm2++ER2FiBTi1KlTSEhIQEpKCtzc3PDqq69iypQpaNy4sehoimMymdCsWTP06tULS5YsER2HiMx06NAhdO/eHfv27UPPnj1Fx1E0thxWqrq6GnFxcbCzs0NSUhILKbJ6I0eOhIuLC1asWCE6ChE9BEmSsH//fly9elV0FCKyYiaTCVu2bEHPnj0RFRWFY8eOYe7cudDpdPjwww9ZSD0iOzs7aLVarFu3DuXl5aLjEJGZunbtivDwcD4pUgvYdFipjz76CPv27cOqVasQEBAgOg7R73J1dcXIkSORlJQETsAkUo4RI0awUCai36TX67FgwQK0aNECQ4YMQWVlJVJTU5Geno6pU6fC1dVVdETF02q1KCkpwcaNG0VHISIz3VmbMzU1FWVlZaLjKBpLKSt08OBBzJw5EzNmzEDv3r1FxyEym1arRXp6Oo4ePSo6ChGZycXFBaNGjWKhTET3yM7OxqxZsxASEoJXX30VLVu2xOHDh3HkyBGMHDkSarVadESbERYWhm7dunHGBZHCjBs3DqWlpdiwYYPoKIrGNaWsTG5uLiIjIxEeHo6vv/4a9vb2oiMRmc1kMqFJkybo378/FixYIDoOEZlp37596N27Nw4ePIhu3bqJjkNEAl28eBFz5sxBUlIS1Go1JkyYgNdffx3h4eGio9m0xYsX4+WXX0ZmZiaCgoJExyEiM/Xo0QMODg7Ys2eP6CiKxZlSVkSWZYwfPx4GgwHJyckspEhx7OzsMG7cOKxduxZ6vV50HCIyU48ePRAaGsq79ET1lCzL+OabbzBo0CBERERgy5YtmDlzJnQ6HebPn89CygJGjx4NR0dHrFy5UnQUInoIkiRh79690Ol0oqMoFkspKzJ37lykpaUhKSkJgYGBouMQPRKtVouioiJs2bJFdBQiMtOdQjklJYWFMlE9YjQakZycjKioKPTq1QvXrl3DsmXLkJGRgXfeeQfe3t6iI9YbHh4eGD58OB+lJlKYUaNGwcnJiYXyY2ApZSVOnDiBP//5z3jrrbcwYMAA0XGIHlnz5s3RuXNnzrggUhitVovi4mJ89dVXoqMQUR0rKirC7NmzER4ejri4OPj6+mLnzp04e/Ysxo8fD0dHR9ER6yVJknDhwgV8++23oqMQkZnc3d0xYsQIJCYmslB+RFxTygoUFhaiXbt2CAgIwIEDB6DRaERHInosX375JaZMmYKsrCw0bNhQdBwiMlPXrl3h7u6O7du3i45CRHUgMzMT8+bNw6JFi2AwGBAbG4tp06ahTZs2oqMRgOrqagQHB2PEiBH4/PPPRcchIjPt3r0bzz//PI4dO4ZOnTqJjqM4nCklmCzLeOmll1BQUIA1a9awkCKbMGbMGKjVaqxatUp0FCJ6CFqtFrt27cKNGzdERyGiWvTtt98iJiYGYWFhWLZsGaZMmYKMjAwsX76chZQVUavViI+Px+rVq1FRUSE6DhGZqXfv3ggMDOSTIo+IpZRgX375JVJTU7FkyRI0adJEdByiWuHt7Y0hQ4ZwGiuRwkRHR8PBwYGFMpENMJlM2LJlC3r06IEOHTrgxIkT+PTTT5GZmYkPP/wQjRs3Fh2R7kOSJOTn5yMtLU10FCIy051Cec2aNSyUHwFLKYFOnz6NN954A5MnT8bIkSNFxyGqVZIk4dy5czh9+rToKERkJk9PTwwdOpSFMpGC6fV6LFiwAC1atMCQIUNgNBqRmpqKS5cuYcqUKXB1dRUdkR6gZcuWaN++PWdcECmMJEkoKCjgy54eAUspQUpLSxEdHY2IiAjMnj1bdByiWte3b1/4+/sjKSlJdBQiegiSJOGHH37A999/LzoKET2E7OxszJw5EyEhIZg0aRJatWqFI0eO4MiRIxg5ciTUarXoiGQmSZKwbds25OTkiI5CRGaKiIhAhw4deO3zCFhKCSDLMl599VVcv34da9euhZOTk+hIRLXOwcEBcXFxWLVqFYxGo+g4RGSm559/Hg0bNuRdeiKFuHjxIl5++WWEhIRg9uzZGDt2LC5duoTU1FQ888wzouPRI4iJiYFKpcLq1atFRyGihyBJErZv347s7GzRURSFpZQAiYmJWLlyJRYsWIAnn3xSdByiOiNJEnJycrBjxw7RUYjITPb29oiLi0NycjIqKytFxyGi+5BlGfv27cOgQYMQERGBrVu3YubMmdDpdJg/fz7Cw8NFR6TH4Ovri4EDB/LmAJHCjB07FiqVCsnJyaKjKApLKQu7cOECJk+ejBdeeAFxcXGi4xDVqbZt26JNmzYcVBEpjFarRW5uLrZv3y46ChHdxWg0Ijk5GVFRUejduzeuXbuGZcuW4erVq3jnnXfg7e0tOiLVEq1Wi++++w7nz58XHYWIzOTj44NBgwbx2uchsZSyIL1ejzFjxiA0NBTz588XHYfIIiRJwpYtW5Cfny86ChGZqU2bNoiMjOSgishKFBUVYfbs2QgLC0NcXBx8fX2xc+dOnD17FuPHj4ejo6PoiFTLBg4cCB8fH56HiRRGkiScPn0aZ8+eFR1FMVhKWdDrr7+Oy5cvIyUlBS4uLqLjEFlEXFwcqqursWbNGtFRiOghSJKErVu3Ii8vT3QUonrr2rVrmDZtGoKDg/Huu+/i2WefxZkzZ7Bz5048//zzUKlUoiNSHdFoNIiJicHKlStRVVUlOg4Rmal///7w9fVlofwQWEpZyNq1a7Fw4UJ89tlnaNWqleg4RBYTEBCAfv368U0URAoTGxsLWZZZKBMJ8O233yImJgbh4eFYvnw5pkyZgoyMDCxfvhxt2rQRHY8sRJIk3Lp1C3v27BEdhYjMpNFoEBsbi1WrVrFQNpNKlmVZdAhb99NPP6Fdu3YYOHAgkpOTeVeL6p1169ZhzJgxuHjxIpo3by46DhGZaciQIbh16xZOnDghOgqRzTOZTNi6dSsSEhJw4MABhIWF4Y033sD48ePh6uoqOh4JIMsyWrVqhTZt2vBNfEQK8t1336F9+/ZIS0vDgAEDRMexepwpVccqKioQHR0Nf39/LFiwgIUU1UuDBw+Gp6cnp7ESKYwkSTh58iQuXLggOgqRzdLr9ViwYAEiIiIwdOhQGI1GpKam4tKlS5gyZQoLqXpMpVJBkiRs2rQJRUVFouMQkZnatWuHVq1a8drHTCyl6tj06dNx9uxZrF27Fu7u7qLjEAnh5OSE6OhorFixAtXV1aLjEJGZBg0aBC8vLw6qiOpAdnY2Zs6ciZCQEEyaNAmtW7fGkSNHcOTIEYwcORJqtVp0RLICcXFxqKysREpKiugoRGQmlUoFrVaLr776CgUFBaLjWD2WUnVo8+bN+PTTTzF79my0b99edBwioSRJQlZWFvbt2yc6ChGZydHREWPHjmWhTFSLLly4gJdeegkhISGYPXs2xo4di0uXLiE1NRXPPPOM6HhkZQIDA9GnTx/eHCBSmPj4eBiNRhbKZuCaUnUkMzMTkZGR+MMf/oCNGzfysT2q92RZRvPmzdGpUyesWLFCdBwiMtPx48fRuXPnmrd9EdHDk2UZ33zzDRISEpCWloZGjRph6tSpmDhxIry9vUXHIyuXnJyMuLg4pKeno1mzZqLjEJGZ+vfvj6KiIhw5ckR0FKvGmVJ1wGg0IiYmBm5ubli6dCkLKSL8b12EDRs2oKSkRHQcIjJTx44d0bx5c75Bk+gRGI1GJCcnIyoqCr1790ZmZiaWL1+Oq1ev4p133mEhRWYZNmwY3NzceFOPSGEkScLRo0eRnp4uOopVYylVB2bOnInjx49j9erVHGwQ3WXcuHEoLy/H+vXrRUchIjPdXSgXFxeLjkOkCEVFRZg9ezbCwsIQFxcHX19f7Ny5E2fOnIEkSXB0dBQdkRSkQYMGGDNmDJKSkmAymUTHISIzDR06FO7u7ryx9ztYStWyXbt24eOPP8YHH3yALl26iI5DZFVCQkLQq1cvrotApDDx8fEwGAxITU0VHYXIql27dg3Tpk1DcHAw3n33XfTp0wdnz56tefyVs+fpUWm1WmRkZODgwYOioxCRmZydnVkom4FrStWimzdvIjIyEu3atcO2bdtgZ8fOj+iXEhMTMX78eFy9ehVNmjQRHYeIzNSnTx8YjUbs379fdBQiq/Ptt98iISEB69atg7u7O1555RVMmTIFjRs3Fh2NbITJZEKzZs3Qs2dPLF26VHQcIjLToUOH0L17d+zduxe9evUSHccqsTWpJdXV1YiPj4ednR2SkpJYSBH9hpEjR8LFxYXrIhApjCRJOHDgAK5evSo6CpFVMJlM2Lx5M3r06IEOHTrgxIkT+PTTT6HT6fDhhx+ykKJaZWdnB61Wi3Xr1qGsrEx0HCIyU9euXREeHs4nRR6AzUkt+eijj7Bv3z4kJyfD399fdBwiq+Xq6oqRI0ciKSkJnKhJpBwjRoyAq6sr10Wgek+v12PBggWIiIjA0KFDUVVVhfXr1+PSpUuYMmUKXFxcREckG6XValFaWoqNGzeKjkJEZlKpVNBqtUhNTUVpaanoOFaJpVQtOHDgAGbOnIm//OUvnJJHZAZJknD58mUcPXpUdBQiMpOLiwtGjRrFQpnqrezsbMycORMhISGYNGkSWrdujSNHjuDw4cMYMWIE1Gq16Ihk48LCwtC9e3feHCBSGK1Wi7KyMhbKv4Gl1GPKzc1FTEwMunfvjr/+9a+i4xApQs+ePREcHHzfaaxnzpzhBS+RlZIkCVeuXMHhw4fv+XpRUREf6yObdeHCBbz00ksICQlBQkICYmJikJ6ejtTUVDzzzDOi41E9I0kS9uzZg6ysrHu+fvv2bdy6dUtQKiJ6kCZNmqBHjx73vfb573//C6PRKCCV9WAp9RhMJhPGjx+PyspKrFq1infIiMxkZ2eHcePGYe3atdDr9TVfP3/+PCIjI3H58mWB6Yjot/zhD39AaGjorwZVH374IWJiYgSlIqp9sixj3759GDRoEFq0aIG0tDTMmjULOp0On332GcLCwkRHpHpq1KhRcHR0xMqVK+/5+uTJk/Hmm28KSkVEv0er1WLv3r3Q6XQ1XysqKkLbtm3x9ddfC0wmHkupxzB37lykpaUhKSkJgYGBouMQKYpWq0VRURE2b95c87WffvoJAODu7i4qFhE9wJ1COSUl5Z5C+aeffuJxSzbBaDRi1apVaN++PXr37o3MzEwsX74cGRkZmD59Ory8vERHpHrOw8MDw4cPR2Ji4j0zy3keJrJuo0aNgpOT0z0ve9LpdKiqqqr3xy5Lqd+xc+fO+7529fjx45g+fTrefvtt9O/fX0AyImVr3rw5OnfufM+Mi6ysLDg4OMDPz09gMiJ6EK1Wi+LiYmzatKnma1lZWQgKChIXiugxFRUV4ZNPPkFYWBji4+Ph7++PXbt24cyZM5AkCRqNRnREohqSJOHixYs4efJkzdd4Hiaybu7u7hgxYsQ9hfKdx3Dr+7HLUup3zJ8/H6mpqfd8rbCwEGPHjkVUVBQ++OADQcmIlGXz5s2QJOmet05IkoSdO3fi5s2bAH4+MQcGBsLOjqcmImsxZcoULFy4sObXTzzxBLp06fKrQrm+D6hIma5du4Zp06YhODgY7733Hvr06YOzZ89ix44deO6556BSqURHpHpOlmWMHj36npnlffr0QePGjWvOwwaDAbm5uTwPE1mR7777DsOGDbtnrTdJknDp0iUcP34cwM/jJ5VKhUaNGomKaRV45fc7zp07h9atW9f8WpZlvPjiiygsLMTq1avh4OAgMB2RcgQFBWHjxo147rnnkJ+fDwCIjo6Gg4MDkpOTAfDClsga+fj4YOLEifjggw9q7uxJkoTdu3fjxo0bqKqqws2bN3nskqKcPHkSY8eORXh4OJYvX46pU6fi2rVrWLZs2T3jPiLRVCoVHB0dMWLEiJrHftRqNeLj47FmzRpUVFTg+vXrADjbgsia+Pn54eTJk+jWrRsyMjIAAL1790ZgYGDNGzSzsrLQsGHDet8psJR6gKKiImRmZt4zOPniiy+wfv16LFmyBE2aNBEXjkhhnn76aezduxfp6eno2bMnbt26BS8vLwwZMqRmGitLKSLrM2vWLPz973/HjBkz8Pbbb0OWZYwZMwYODg5YtWoVbt26BZPJxGOXrJ7JZMLmzZvRo0cPdOzYESdPnsS8efOg0+nwwQcf1Ps71WS9EhMTIUkStFotPv/8cwA/P0qdn5+PtLQ0PgJEZIWCg4Nx6NAhAEC3bt1w4cIFqNVqjBs3rqZQ5rXPz1hKPcD58+cBoKaUOn36NKZNm4YpU6ZgxIgRIqMRKVJUVBQOHDiAvLy8mrsGWq0W586dw+nTp3liJrJCKpUKM2bMwGeffYaEhAS89NJLcHNzw9ChQ5GYmFjzFhkeu2StysvL8eWXXyIiIgJDhw5FVVUV1q9fj0uXLmHy5MlwcXERHZHogdRqNRYvXoxp06Zh6tSp+OCDD9CiRQu0b98eiYmJNaUUX7xEZF2aNm2KgwcPwsvLC927d8epU6eg1WpRUFCALVu28Nrn/7MXHcCanTt3Dmq1Gk899RRKSkoQHR2NiIgIfPLJJ6KjESlWixYtcOjQITz33HPo1q0btm3bBn9/fyxfvpwnZiIrNnXqVHh4eGDChAkoLi5GXFwchg0bhgMHDgBgKUXW5/bt2/j3v/+N//znPygoKKhZYLZz586ioxE9NJVKhdmzZ8PLywszZsxAQUEBtFot3nzzTbRp0waenp5wdXUVHZOIfqFRo0bYv38/BgwYgF69emHr1q3o0KFDTaHcu3dv0RGFYyn1AOfOnUPz5s2h0Wjw4osv4saNGzh16hScnJwAAHl5eZgzZw68vb3x5ptvCk5LpBx37ho8//zz6N27N/r27YtVq1bBYDDwwpbIimm1Wri7uyM6OhrFxcUICAhAWloanJ2d4eXlJToeEQDgwoULmDNnDlasWAF7e3tMmDABr7/+OsLCwkRHI3osd2auenh44I9//CPi4uIAAPv37+f4iciKeXt7Y8+ePRg6dCj69u2L8ePHY9GiRXBxceGxCz6+90Dnz59H69atkZiYiJUrV2LBggV48sknkZ+fjxkzZqBJkyaYN28e3NzcREclUpw7dw2aNWuGr776Cnl5eQA424LI2g0bNgxpaWk4dOgQ1Go1Tpw4gcDAQL6ljISSZRl79+7FwIED0aJFC6SlpWHWrFnQ6XT47LPPWEiRTZk6dSoSExOxZs0a+Pv748yZMxw/EVk5V1dXpKWloW/fvli8eDEAoLi4mMcuWEr9JlmWce7cOQQEBGDy5MmYMGECBgwYgFmzZqFp06aYO3cuJk2ahKtXr+Lll18WHZdIke7cNbj7UQqemImsX58+fbBnzx6UlJSgoqICzs7OoiNRPWU0GrFq1Sq0b98ezz77LHQ6HRITE5GRkYHp06dzBh/ZLK1Wi9TUVGRnZ6O4uBgNGjQQHYmIfoeTkxNSU1MRExOD6upqALz2AWz48T1ZllFRUQG9Xg+9Xg+DwQCTyQQAsLOzg0ajgbOzM5ydneHk5AQ7u3v7uRs3bqCgoACbNm1CcHAwAgMD0bRpUxgMBkyaNAl/+tOfEBAQIOKvRmRTXF1dsXXrVnTq1Annzp2Dr68vSktLYTAYoNfrUVlZWfMaerVaDScnp5pjV6PRcHYGkSCdO3fGoUOHEBUVBQcHB1RWVt7zmVtdXQ1ZlqFSqeDg4HDPsWtvb7PDD5tQVVV1z7+l0Wis+be833m4NphMpl+NxR6kqKgICxcuxGeffYasrCz07dsXu3btQp8+ffi5QPXGsGHDsGXLFgwYMAAODg6/uva5c9GrUqlqrn3uHL9qtVpweqL6yd7eHsuXL0dhYSG2bNmCxo0bo7y8vObYraysvKe3uPsz19HR0SY/41Tynas9G1FVVYWCggLk5eWhqqrKrO+xs7ODl5cXvL294ejoCADYsWMH+vfvD7VaDVdXVxgMBkycOBHTp0/nK4OJ6kBZWRl0Ol3Nhaw5HB0d4ePjAw8PDw6uiAQwmUy4fv16zSDKXO7u7vD29oaLi4tNDq6USJZllJWVIT8/H8XFxWZ/n7OzM3x8fODu7v5QpdLdjh07hkGDBuHQoUN46qmnHvhnMzIyMG/ePCxevBiVlZWIi4vDtGnT0KpVq0faN5HSVVdXIyMjA1VVVTAajWZ9j0qlgoeHB3x8fDjTlUgQg8GAjIwMmEymmhLq99jb28PHxwdeXl42dYPPZkopk8mE27dv16xL86hcXV3RuHFjTJo0CUuWLIFarcbEiRPxzjvvcGodUR0wGAw1F7WPSqVSwd/fH76+vrzAJbIAWZZRUFCA27dv19yJfxQajQaBgYFwcXGpxXT0sMrKynD9+vWHKhZ/Sa1WIyAgAF5eXg91Hr5+/TqioqIQFhaGvXv31twc/KWTJ08iISEBqampcHd3x6uvvoopU6bwRiHVW7IsIzc3F9nZ2WbfzLsfZ2dnBAYG1rzIiYjqVmVlJW7cuIHS0tLH2o6Pjw8CAgIe+YaQNbGJUqqsrAxZWVlm3x34PSqVChkZGZg9ezaWL1+O0NDQWtkuEf2PLMvIyclBdnZ2rW3TyckJQUFBHFgR1aHKykpcv34dZWVltbZNWxpYKUlt3dC7m4uLCwIDA816rE+v16NHjx64efMmvv32218ti2AymbBlyxYkJCTg4MGDCA8PxxtvvIHx48ezyKR6zWAwICsrCwaDoda26e/vDz8/P97cI6ojd27o3bx587GK5Ls5ODggKChI8Z+Jii+lcnJycPv27TrZtru7O4KCgjhIJqpld6aaP87sqAcJCgqCp6dnnWybqD4rKyvDtWvXzJ5m/jA0Gg2aNGlSa2sU0YNVVlYiIyPjsWZH/RY7OzuEhoY+cJAsy3LNQs2HDh1C+/bta36vvLwcSUlJmDNnDtLT09GlSxe89dZbGDJkCB/VpnqvsLAQWVlZdbJtZ2dnNGnShMcZUS0zmUzIysp6qMfjH0ZAQAD8/PzqZNuWoOi25fbt23VWSAE/v6IxMzOzTgbfRPVVdXU1rly5UmeFFABkZWWhoKCgzrZPVB+VlpbWrH1QFyorK3HlypU6KUnoXnX9szaZTMjIyHjgowlz5szBypUrsXTp0ppC6vbt2/jrX/+KkJAQTJ48GW3btsXRo0dx+PBhDB8+nBfKVO8VFBTUWSEF/Dx78cqVK4/1WDYR3ctkMiEzM7POCimg7nuRuqbYmVK5ubm4deuWRfbl7u6O4OBgTmclekwmkwlXr16t00LqbiEhIXB3d7fIvohsWXl5Oa5evVpr080fxMHBAeHh4Ta1gKc1qaqqwk8//VRrSx48iEqlQtOmTX/1qvqdO3diwIABePvtt/Hxxx/jv//9b01JZW9vj//7v//Da6+9hrCwsDrPSKQUd26WW4KzszOaNm3Kp0WIHpMsy9DpdHVaSN2tYcOG8PX1tci+apMizzR6vd5ihRTw84cAZ10QPb7s7GyLFVIAanWtOaL6ymQyQafTWaSQAgCj0YgbN25YZF/10Y0bNyx2XrwzGL97dt2lS5cQHR2N/v3749lnn8XAgQPRsmVLbN++HbNmzYJOp8O8efNYSBHdxWg01ukMqV/S6/W1uuYnUX1VUFBgsUIKAG7dumXRa63aorhS6s7zmJZ28+ZNPlJA9BjKy8uRm5tr0X3eeV29QieEElmF27dvW7zcLS4uRlFRkUX3WR8UFRVZdHAM/HwxfeeRgqKiIgwePBguLi7IzMzE888/j6ysLCQmJuLq1auYPn06vLy8LJqPyNrJsozr169bfDmR3NxclJeXW3SfRLaksrISN2/etPh+s7KyFLf8kOJKqdzcXFRUVFh8v7Is884t0SOSZVlImQz8vA6OpS/CiGxFeXl5rb6Z7WFcv36d65rUourqaly/fl3IvvPy8lBWVoauXbvi0qVLuHHjBjQaDWbPno1FixYhKioKN27cQE5ODsrKyhQ3mCaqS8XFxY/96vhHlZWVxRt7RI/oxo0bQo6fiooKYWO3R6WoBRtMJpPQH3BpaSkqKirg6OgoLAOREpWWlgqdaZiTkwMPDw9h+ydSKkvPbrybyWRCYWEhfHx8hGWwJYWFhULLnhs3buDixYs1vz516hROnTr1m3/e3d0dO3fuROfOnS0Rj8hq5eTkCNt3ZWUlSktL4ebmJiwDkRIZDAZhZTLw8/jNx8dHMevCKaqUKikpEX7XND8/H40aNRKagUhpRLf1BoMBer0ezs7OQnMQKYnRaBQ+yzAvLw/e3t580chjkmVZ+Hm4oqICer0esiyjrKwM5eXlNf+9+3/f+W9VVRUiIiKEZiYSrby8HAaDQWiGvLw8llJED0n0etTV1dUoKSlRzE15RZVStTmg+s9//oO9e/ciNTX1nq9XVlZi9uzZ2L59OyoqKtCpUye89957aNiwIYCf/w8WEBCgmNaRSLQ7d9lqy28du+vWrcO2bdtw4cIFlJWV4fDhw/e8eS8vLw9BQUG1loPI1hUWFtbatu533BYVFeHf//43jh49ilu3bsHT0xO9e/fGlClTai6AKisrUV5eDhcXl1rLUh+Vl5fX6mzVRx1DFRYWws/PDxqNhmtHEZkhPz+/1rb1qOOnO7PdNRpNrWUhsmUmk6nOj11zxlB5eXmKKaUU06yYTCaLLLb3z3/+E19//TX+9a9/ITExEeXl5ZgyZUrNDC2TyaTIFe2JRCkrK7PIfgwGA7p27YoXX3zxvr8vcgotkRLV9TGTnZ2NnJwcvPnmm9iwYQP+8Y9/4PDhw5g5c6ZFc9QHlvoZ/t4Yiv+WRA/HEsfM742fAMuN5YhswZ1ZwXXJnDFUeXm5YtZoVEwp9cupq5WVlfjoo4/Qo0cPtG/fHlqtFufPnwcAbNq0CV26dLnnz3/99ddo3bp1ze9/8cUX+PHHH9G6dWu0bt0amzZtQklJCTZs2IC3334bzzzzDCIiIvDRRx8hPT0dx44dq9kWSyki8/3yeKmLYxcAxo0bhxdffBFt27a9b46qqipUVVXV8t+OyDbJsnzPsVsXx+0TTzyBuXPnomfPnggODkanTp0wdepUfPPNN/ccq/zMfXyWOA+bM4ayxECdyFb8ctwiavwE8DxM9DAs8Zlr7hhK9OO/5lLM43u//MedM2cO9uzZg3/84x9o3Lgxli5diokTJ2Lbtm2/u61+/frh8uXLOHz4MBYtWgQAcHV1xZkzZ1BVVYVnnnmm5s/6+/ujWbNmOH36NLp27QpAOf+4RNbAEseuuQwGw0P9eaL6qrKy8p67a5Y6bktLS+Hq6gp7+/8NT+4UGVxX6tH8smAExI2hTCYTjEYjHwMiMoM1jZ9YShGZT9Sxe78xlMFgQIMGDR7jb2MZipkpdfdaCOXl5Vi7di2mTZuG7t27Izw8HLNmzYKTkxM2bNjwu9tycnJCgwYNoFar4evrC19fXzg5OSE3NxcODg6/evbSx8fnnjcQVVRU1N5fjMjGWeLYNRePXSLziDhuCwsLsWDBAowaNeqer1dXV3N2zWMwmUz3vCSGYygiZbCm8ZPINygTKY01jaGUcuwqppS6e0Cq0+lQVVWFdu3a1XzNwcEBrVq1wpUrV+pk33ffoVXKs5lE1uDu48XSx+4v8cKWyDyW/swtLS3F5MmTERYWhldfffVXv8/P3Uf3y/Oe6DEUz8NE5hF57fNLPAcTmc/S1z4PGkMp5dhVTCl1P7+cyn9n4GNnZ/erQY85a8n4+vrCaDSiqKjonq/n5+fDx8fn8QMTEYDaP3aJqO7V1XFbVlaGV155Bc7Ozpg3bx4cHBxqJS89GMdQRMojavzEx6eJHg/HUA+mmFLKzu5/UYODg+Hg4IDvvvuu5mtGoxE//PADwsLC4OXlhbKysnve1vfjjz/esz0HB4d7prMDQIsWLWBvb4+jR4/WfC0nJweXL19GZGTkfbMQ0YNZ4th9lCxE9NssddyWlpbi5ZdfhoODA+bPnw9HR8ffzUMP55c/O46hiJTBmsZPLKWIzGdNYyilfOYqZqHzu3/IDRo0QHR0NObMmQMPDw80atQIS5cuhcFgwPDhwwH8/PzlZ599htjYWJw7dw5fffXVPdtr3Lgxrl+/josXLyIgIAAuLi5wc3PDiBEjMHv2bHh6esLDwwMJCQl44okn0Llz55rvfZhnsInqOycnp5pXCdfVsavRaJCbm4vc3FxkZmYCANLT0+Hi4oJGjRrVrHHyWxe8RHQvS3zmGo1GTJw4EXq9Hh9//DHKyspqzhVeXl5Qq9UAAHt7e8UMqqyRnZ0d7O3ta+68ih5D8TxMZB5LnIfNHT/x2ofIfE5OTjWLnYseQynlM1clK+ThfoPBgMuXL9f8uqKiAnPmzMH27dtRVlaGli1b4k9/+hNatWoF4OdXKc6ZMwe3b99G586d0bNnT7z//vs4d+4cgJ8X/Zo+fTqOHTuGkpIS/P3vf8ewYcNQUVGBhIQEbNu2DRUVFejUqRNmzJiBhg0b1uy7cePG8Pb2tuwPgEihbt269atFbuvi2P3Pf/6DL7744lf7v/P7wM938nlxS2SeCxcu1NyZq4vjNjAwEBMmTLjvvnfs2IHAwEAAgLu7O0JCQizwN7ZdmZmZKC4urvm1qDGUWq1GRESE5X8ARApUXV2NCxcu1Pxa5PjJ19f3nmshIvpt+fn5uHHjRs2vRY6hmjVrpohSWTGllCzL+O9//2sVC2SGh4fD2dlZdAwiRSgqKoJOpxMdAxqNBk8++aToGESKce3aNZSUlIiOgYCAAPj5+YmOoWg5OTm4ffu26Bhwc3NDaGio6BhEinHp0iWreHtWcHDwr96sSUT3p9fr8dNPP4mOAZVKhRYtWiji8VvFTBlQqVRwdXUVHQP29vaKaBuJrIWLi4voCAB+nm1BROZzc3MTHQGA9eRQMmv5GVpLDiKlsIaxi0qlspqxHJESODk5wd5e/CpJbm5uiiikAAWVUgCs4u0t3t7eivnHJbIG9vb28PT0FB2Dj9wSPSQPDw/hn3fOzs68EVQLnJychM/wVqlUnGlB9JC8vLxER4CHh4dVXGATKYVKpbKK6w5ryGAuRZVSdxbkE8kaPhyIlEb0SdHV1VX4uYNIadRqtfDPPGu4GWUrRP8s7154lYjM4+joKPxJEdFjOCIlEj1+0mg0iprhqKhSSqVSCV1XwsvLCw4ODsL2T6RUzs7OQk+MXI+G6NH4+voKmy2l0Wis4tEVW+Hu7i6snFepVPD19RWybyKlEzmGcXFxQYMGDYTtn0ipHBwchBZTfn5+wme7PwxFlVIA4OnpKeSOgb29Pd86QfSIVCoVAgMDhZwcfXx8FHWngMiaaDQaBAQECNl3UFAQ35ZZi+zs7BAUFCRk3w0bNuRsVaJH5OLiImS20p2xGxE9moYNGwp59NXV1dUqlk55GIob7d05QVp6oBoUFMRp50SPQaPRoFGjRhbdp4ODg7ALaiJb4ePjY/H1iHx9fXl3vg40aNDA4jOWGjRowMd/iB5Tw4YNLf60RqNGjVgmEz0GtVpt8ZtBdnZ2wiYCPA7FlVLAzxeawcHBFtufv7+/8Oe5iWyBl5eXxRa6ValUCAkJ4UwLosekUqkQHBxssbt9DRo0gL+/v0X2VR/5+/tbrPCzt7dHUFCQ4gbHRNbGzs4OISEhFjuWPDw8hK+JQ2QLXF1dLTqmCQ4OVuRyQ4q9WnNzc7NIMeXr68v1aIhqiUqlQlBQUJ2vE6NSqdCkSRPhb5sishUajQZNmzat8xnDzs7OCA0NZZlch+zs7BAaGlrn50d7e3s0bdqUMy2IaomzszOaNGlS58WUu7s7y2SiWuTn52eRWcrBwcFwc3Or8/3UBZUsy7LoEI+jpKQEOp0OJpOp1rcdEBAgdJFXIlslyzJu3LiBgoKCWt+2vb29RS64iOqjyspKZGRkoLKysta3fedmEwspyzCZTNDpdCgpKan1bWs0GjRp0oSFFFEd0Ov1yMjIQHV1da1v28vLC40bN+a1D1Etk2UZubm5uH37dq1v287OTtGFFGADpRQAGI1GXL9+HaWlpbWyPY1Gg6CgIK5nQVTHSkpKcP36dVRVVdXK9jw9PdGoUSOu/0ZUh0wmE7Kzs5Gbm1sr27Ozs0OjRo3g6enJCyELk2UZhYWFuHnzZq3d3PP19YW/vz/LRaI6VF1djZs3b6KwsLBWtmdvb4/AwEBFX9QSKUF5eTmysrJq7eaeq6srAgMDFfnI3t1sopQC/jewys7OhtFofKRt2NnZwcfHB35+fhxMEVlIdXU1bt++jYKCAjzq6cjR0RENGzbkYIrIgsrLy3Hr1i2Ul5c/8jY8PDyELOBL9zIajbh16xaKiooeeRsNGjRAw4YNeUOPyIJKSkpw69YtVFRUPNL3q1QqeHl5ISAggDf0iCzEZDIhJycHeXl5j3xDyMHBAf7+/jZzQ89mSqk7ZFlGWVkZ8vLyzJ6S7uzsDG9vb3h4eLCMIhKkuroahYWFyMvLM+vugUqlgru7e82bwWzhhEykRAaDAfn5+SgsLDRrcOXg4AAvLy94e3sLeVUy/baqqirk5+ejoKDArBt8dnZ28PT0hLe3N5ycnCyQkIh+SZZl6PV65OXlobi42KwbfBqNBj4+PvD09GQZRSSIyWRCUVER8vPzodfrzfoeNzc3+Pj4wMXFxaaufWyulLqbLMuoqKiAXq+HwWCALMuQZRl2dnbQaDRwdnaGk5MTiygiK1NdXV1z3FZWVkKWZahUKtjZ2cHJyQnOzs7QaDQ2dTImUjpZlmE0GmuO3erq6ppj197eHs7OznB2dmYRpRBVVVXQ6/XQ6/Woqqqq+bdUq9U152EHBweeh4msiCzLqKysrDkPm0ymmmNXo9HUHLssooisi8lkgsFggF6vR2VlJUwmE1QqFVQqVc1x6+joaLOfuTZdShERERERERERkXXiFCEiIiIiIiIiIrI4llJERERERERERGRxLKWIiIiIiIiIiMjiWEoREREREREREZHFsZQiIiIiIiIiIiKLYylFREREREREREQWx1KKiIiIiIiIiIgsjqUUERERERERERFZHEspIiIiIiIiIiKyOJZSRERERERERERkcSyliIiIiIiIiIjI4lhKERERERERERGRxbGUIiIiIiIiIiIii2MpRUREREREREREFsdSioiIiIiIiIiILI6lFBERERERERERWRxLKSIiIiIiIiIisjiWUkREREREREREZHEspYiIiIiIiIiIyOJYShERERERERERkcWxlCIiIiIiIiIiIotjKUVERERERERERBbHUoqIiIiIiIiIiCyOpRQREREREREREVkcSykiIiIiIiIiIrI4llJERERERERERGRxLKWIiIiIiIiIiMjiWEoREREREREREZHFsZQiIiIiIiIiIiKLYylFREREREREREQWx1KKiIiIiIiIiIgsjqUUERERERERERFZHEspIiIiIiIiIiKyOJZSRERERERERERkcSyliIiIiIiIiIjI4lhKERERERERERGRxf0/QnBN2zzMIroAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Side-by-side plot of the two source graphs\n", "pos = {\n", " 'in0': (-2, 2), 'in1': (0, 2), 'in2': (2, 2),\n", " 'fA': (-1, 1), 'fB': (1, 1),\n", " 'f1a': (-2, 0.3),'f1b': (-1, -0.5),\n", " 'f2a': (2, 0.3), 'f2b': (1, -0.5),\n", " 'out0': (-2, -2),'out1': (0, -2), 'out2': (2, -2),\n", "}\n", "\n", "def color_for(n):\n", " if n in input_nodes: return 'lightgray'\n", " if n in output_nodes: return 'lightgray'\n", " if n in shared_fns: return 'gold'\n", " if n in only_G1: return 'skyblue'\n", " if n in only_G2: return 'salmon'\n", " return 'white'\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n", "for ax, G, title in [(axes[0], G1, 'Graph 1'), (axes[1], G2, 'Graph 2')]:\n", " sub_pos = {n: pos[n] for n in G.nodes}\n", " colors = [color_for(n) for n in G.nodes]\n", " nx.draw_networkx(G, sub_pos, ax=ax, node_color=colors, with_labels=True,\n", " node_size=600, font_size=10, arrowstyle='->', arrowsize=18)\n", " ax.set_title(title)\n", " ax.set_axis_off()\n", "plt.suptitle('Shared (gold) vs. G1-only (blue) vs. G2-only (red) function nodes')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "0498fe57", "metadata": {}, "source": [ "## Simulate data from each graph\n", "\n", "We use the standard Bayesian-network simulator. A small set of per-graph `special_functions` ensures the two data-generating processes behave differently. For every sample we also record a length-`|function_nodes|` **binary mask** indicating which function nodes belong to the source graph (this is the `x_fn` input the node-activity model will use)." ] }, { "cell_type": "code", "execution_count": 4, "id": "99c3e4fe", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "G1 shapes: (400, 3) (400, 3)\n", "G2 shapes: (400, 3) (400, 3)\n" ] } ], "source": [ "special_functions_G1 = {\n", " 'fA': lambda x: np.tanh(np.sum(x)),\n", " 'fB': lambda x: -np.mean(x),\n", " 'f1a': lambda x: np.sum([xx**2 for xx in x]),\n", " 'f1b': lambda x: np.tanh(np.sum(x)),\n", "}\n", "\n", "special_functions_G2 = {\n", " 'fA': lambda x: np.tanh(np.sum(x)),\n", " 'fB': lambda x: -np.mean(x),\n", " 'f2a': lambda x: -np.sum([xx**2 for xx in x]),\n", " 'f2b': lambda x: -np.tanh(np.sum(x)),\n", "}\n", "\n", "N_TRAIN = 400\n", "N_TEST = 100\n", "\n", "x_tr_1, x_te_1, y_tr_1, y_te_1 = simulate(G1, n_train=N_TRAIN, n_test=N_TEST,\n", " input_nodes=input_nodes, output_nodes=output_nodes,\n", " special_functions=special_functions_G1, noise_scale=0.01)\n", "\n", "x_tr_2, x_te_2, y_tr_2, y_te_2 = simulate(G2, n_train=N_TRAIN, n_test=N_TEST,\n", " input_nodes=input_nodes, output_nodes=output_nodes,\n", " special_functions=special_functions_G2, noise_scale=0.01)\n", "\n", "print('G1 shapes:', x_tr_1.shape, y_tr_1.shape)\n", "print('G2 shapes:', x_tr_2.shape, y_tr_2.shape)" ] }, { "cell_type": "code", "execution_count": 5, "id": "d6c2ed40", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "fn_mask_G1: {'fA': 1, 'fB': 1, 'f1a': 1, 'f1b': 1, 'f2a': 0, 'f2b': 0}\n", "fn_mask_G2: {'fA': 1, 'fB': 1, 'f1a': 0, 'f1b': 0, 'f2a': 1, 'f2b': 1}\n", "Combined train: torch.Size([800, 3]) torch.Size([800, 3]) torch.Size([800, 6])\n", "Combined test : torch.Size([200, 3]) torch.Size([200, 3]) torch.Size([200, 6])\n" ] } ], "source": [ "# Per-graph function-node activity masks (1 = node present in that graph's subgraph)\n", "def activity_vector(G_sub, function_nodes):\n", " present = set(G_sub.nodes)\n", " return np.array([1.0 if n in present else 0.0 for n in function_nodes], dtype=np.float32)\n", "\n", "fn_mask_G1 = activity_vector(G1, function_nodes)\n", "fn_mask_G2 = activity_vector(G2, function_nodes)\n", "\n", "print('fn_mask_G1:', dict(zip(function_nodes, fn_mask_G1.astype(int))))\n", "print('fn_mask_G2:', dict(zip(function_nodes, fn_mask_G2.astype(int))))\n", "\n", "# Broadcast per-graph masks to per-sample masks\n", "xfn_tr_1 = np.broadcast_to(fn_mask_G1, (N_TRAIN, len(function_nodes))).copy()\n", "xfn_te_1 = np.broadcast_to(fn_mask_G1, (N_TEST, len(function_nodes))).copy()\n", "xfn_tr_2 = np.broadcast_to(fn_mask_G2, (N_TRAIN, len(function_nodes))).copy()\n", "xfn_te_2 = np.broadcast_to(fn_mask_G2, (N_TEST, len(function_nodes))).copy()\n", "\n", "# Combine into one shuffled train set and one stacked test set (graph 1 first, then graph 2)\n", "rng = np.random.default_rng(0)\n", "perm = rng.permutation(2 * N_TRAIN)\n", "\n", "def to_tensor(a):\n", " return torch.tensor(a, dtype=torch.float32, device=device)\n", "\n", "x_train = to_tensor(np.concatenate([x_tr_1, x_tr_2], axis=0)[perm])\n", "y_train = to_tensor(np.concatenate([y_tr_1, y_tr_2], axis=0)[perm])\n", "xfn_train = to_tensor(np.concatenate([xfn_tr_1, xfn_tr_2], axis=0)[perm])\n", "\n", "x_test = to_tensor(np.concatenate([x_te_1, x_te_2], axis=0))\n", "y_test = to_tensor(np.concatenate([y_te_1, y_te_2], axis=0))\n", "xfn_test = to_tensor(np.concatenate([xfn_te_1, xfn_te_2], axis=0))\n", "\n", "# Track which source graph each test row came from (for later evaluation)\n", "test_source = np.array(['G1'] * N_TEST + ['G2'] * N_TEST)\n", "\n", "print('Combined train:', x_train.shape, y_train.shape, xfn_train.shape)\n", "print('Combined test :', x_test.shape, y_test.shape, xfn_test.shape)" ] }, { "cell_type": "markdown", "id": "5412d037", "metadata": {}, "source": [ "## Train two GSNNs on the combined dataset\n", "\n", "- **Model A** sees only `x`. It cannot distinguish which source graph a sample came from, so it has to learn an average behaviour over both.\n", "- **Model B** sees `x` *and* the binary `x_fn` mask. The `NodeActivity` module produces a per-function-node gate (one scalar per node, shared across all layers).\n", "\n", "Hyperparameters are otherwise identical." ] }, { "cell_type": "code", "execution_count": 13, "id": "359e98c3", "metadata": {}, "outputs": [], "source": [ "data = nx2pyg(G_union, input_nodes, function_nodes, output_nodes)\n", "\n", "gsnn_kwargs = dict(\n", " channels=5,\n", " layers=3,\n", " share_layers=False,\n", " bias=True,\n", " add_function_self_edges=False,\n", " checkpoint=False,\n", " norm='none',\n", " init='degree_normalized',\n", " residual=True,\n", " node_attn=False,\n", " node_mlp=False,\n", " dropout=0.,\n", ")\n", "\n", "def train(model, with_xfn, n_iters=1000, lr=1e-2, weight_decay=1e-2):\n", " optim = torch.optim.AdamW(model.parameters(), lr=lr, weight_decay=weight_decay)\n", " crit = torch.nn.MSELoss()\n", " for i in range(n_iters):\n", " model.train(); optim.zero_grad()\n", " if with_xfn:\n", " yhat = model(x_train, x_fn=xfn_train)\n", " else:\n", " yhat = model(x_train)\n", " loss = crit(y_train, yhat)\n", " loss.backward()\n", " optim.step()\n", " if (i + 1) % 100 == 0 or i == n_iters - 1:\n", " model.eval()\n", " with torch.no_grad():\n", " if with_xfn:\n", " yhat_te = model(x_test, x_fn=xfn_test)\n", " else:\n", " yhat_te = model(x_test)\n", " te_loss = crit(y_test, yhat_te).item()\n", " print(f' iter {i + 1:4d} | train mse: {loss.item():.4f} | test mse: {te_loss:.4f}', end='\\r')\n", " print()\n", " return model" ] }, { "cell_type": "code", "execution_count": 14, "id": "fbf8c1ac", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Training Model A (no node activity)...\n", " iter 1000 | train mse: 0.2516 | test mse: 0.2494\n", "Training Model B (with node activity)...\n", " iter 1000 | train mse: 0.1590 | test mse: 0.1566\n", "Model A params: 453\n", "Model B params: 534\n" ] } ], "source": [ "print('Training Model A (no node activity)...')\n", "torch.manual_seed(0)\n", "model_A = GSNN(data.edge_index_dict, data.node_names_dict,\n", " node_activity=False, **gsnn_kwargs).to(device)\n", "train(model_A, with_xfn=False)\n", "\n", "print('Training Model B (with node activity)...')\n", "torch.manual_seed(0)\n", "model_B = GSNN(data.edge_index_dict, data.node_names_dict,\n", " node_activity=True,\n", " node_activity_dim=1,\n", " node_activity_hidden=16,\n", " node_activity_temperature=0.5,\n", " **gsnn_kwargs).to(device)\n", "train(model_B, with_xfn=True)\n", "\n", "print('Model A params:', sum(p.numel() for p in model_A.parameters()))\n", "print('Model B params:', sum(p.numel() for p in model_B.parameters()))" ] }, { "cell_type": "markdown", "id": "5fb79a93", "metadata": {}, "source": [ "### Test performance" ] }, { "cell_type": "code", "execution_count": 15, "id": "6a51a9ed", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model A (no node activity): test MSE = 0.2494 | Pearson r = 0.7756\n", "Model B (with node activity): test MSE = 0.1566 | Pearson r = 0.8659\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "model_A.eval(); model_B.eval()\n", "with torch.no_grad():\n", " yhat_A = model_A(x_test).cpu().numpy()\n", " yhat_B = model_B(x_test, x_fn=xfn_test).cpu().numpy()\n", "y_true = y_test.cpu().numpy()\n", "\n", "def report(name, yhat):\n", " mse = float(np.mean((y_true - yhat) ** 2))\n", " r = float(np.corrcoef(y_true.ravel(), yhat.ravel())[0, 1])\n", " print(f'{name}: test MSE = {mse:.4f} | Pearson r = {r:.4f}')\n", "\n", "report('Model A (no node activity)', yhat_A)\n", "report('Model B (with node activity)', yhat_B)\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(10, 5), sharex=True, sharey=True)\n", "for ax, name, yhat in [(axes[0], 'Model A', yhat_A), (axes[1], 'Model B', yhat_B)]:\n", " ax.plot(y_true.ravel(), yhat.ravel(), 'k.', alpha=0.4)\n", " lo, hi = y_true.min(), y_true.max()\n", " ax.plot([lo, hi], [lo, hi], 'r--', lw=1)\n", " ax.set_title(name); ax.set_xlabel('y true'); ax.set_ylabel('y pred')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "2f1bfc86", "metadata": {}, "source": [ "## Per-observation node importances\n", "\n", "We pick one test observation from each source graph and run `GSNNExplainer` to extract per-node importance scores. For Model B we forward `x_fn` to the underlying GSNN through the explainer's new `model_kwargs` hook.\n", "\n", "**Ground truth:** for an observation drawn from graph `G_i`, the *true* set of \"important\" function nodes is the set of function nodes that appear in `G_i` *and* lie on some input→output path. Function nodes that are only in the other graph should receive low scores." ] }, { "cell_type": "code", "execution_count": 16, "id": "d85d1bc5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Active function nodes in G1: ['fA', 'fB', 'f1a', 'f1b']\n", "Active function nodes in G2: ['fA', 'fB', 'f2a', 'f2b']\n" ] } ], "source": [ "# Pick one observation from each source graph\n", "idx_1 = 0 # first row in test set came from G1\n", "idx_2 = N_TEST # first row from G2\n", "\n", "obs_1 = x_test[idx_1:idx_1 + 1]\n", "obs_2 = x_test[idx_2:idx_2 + 1]\n", "xfn_obs_1 = xfn_test[idx_1:idx_1 + 1]\n", "xfn_obs_2 = xfn_test[idx_2:idx_2 + 1]\n", "\n", "# Ground-truth active function nodes per graph: those reachable on an input->output path\n", "def active_function_nodes(G_sub, input_nodes, output_nodes, function_nodes):\n", " reachable_from_inputs = set()\n", " for s in input_nodes:\n", " if s in G_sub:\n", " reachable_from_inputs |= nx.descendants(G_sub, s)\n", " can_reach_outputs = set()\n", " for t in output_nodes:\n", " if t in G_sub:\n", " can_reach_outputs |= nx.ancestors(G_sub, t)\n", " active = reachable_from_inputs & can_reach_outputs\n", " return [n for n in function_nodes if n in active]\n", "\n", "active_G1 = active_function_nodes(G1, input_nodes, output_nodes, function_nodes)\n", "active_G2 = active_function_nodes(G2, input_nodes, output_nodes, function_nodes)\n", "\n", "print('Active function nodes in G1:', active_G1)\n", "print('Active function nodes in G2:', active_G2)" ] }, { "cell_type": "code", "execution_count": 28, "id": "ed811225", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "iter: 299 | loss: 0.1118 | mse: 0.0447 | r2: 0.933 | active nodes: 7 / 12 | entropy: 0.21276\n", "==================================================\n", "POST-TRAINING EVALUATION (nodes > 0.5)\n", "==================================================\n", "Selected nodes: 6 / 12 (50.0%)\n", "MSE (subset): 0.000000\n", "R² (subset): 1.0000\n", "==================================================\n", "iter: 299 | loss: 0.0545 | mse: 0.0045 | r2: 0.993 | active nodes: 5 / 12 | entropy: 0.2081\n", "==================================================\n", "POST-TRAINING EVALUATION (nodes > 0.5)\n", "==================================================\n", "Selected nodes: 4 / 12 (33.3%)\n", "MSE (subset): 0.061055\n", "R² (subset): 0.9664\n", "==================================================\n", "iter: 299 | loss: 0.0430 | mse: 0.0001 | r2: 1.000 | active nodes: 5 / 12 | entropy: 0.18669\n", "==================================================\n", "POST-TRAINING EVALUATION (nodes > 0.5)\n", "==================================================\n", "Selected nodes: 3 / 12 (25.0%)\n", "MSE (subset): 0.000103\n", "R² (subset): 0.9998\n", "==================================================\n", "iter: 299 | loss: 0.0401 | mse: 0.0000 | r2: 1.000 | active nodes: 4 / 12 | entropy: 0.12375\n", "==================================================\n", "POST-TRAINING EVALUATION (nodes > 0.5)\n", "==================================================\n", "Selected nodes: 4 / 12 (33.3%)\n", "MSE (subset): 0.000000\n", "R² (subset): 1.0000\n", "==================================================\n", "Top-5 nodes per (model, observation):\n", " A | obs from G1: fA=0.99, f1b=0.97, f2b=0.96, f1a=0.92, fB=0.85\n", " A | obs from G2: fA=0.99, fB=0.99, f2a=0.90, f2b=0.88, f1b=0.27\n", " B | obs from G1: fA=0.99, f1b=0.99, fB=0.89, f1a=0.44, f2b=0.04\n", " B | obs from G2: fA=0.99, fB=0.99, f2a=0.98, f2b=0.97, f1a=0.04\n" ] } ], "source": [ "EXPLAINER_KWARGS = dict(iters=300, beta=1e-2, lr=1e-2, prior=1.0, verbose=True)\n", "\n", "def explain_node(model, obs, model_kwargs=None):\n", " expl = GSNNExplainer(model, data, **EXPLAINER_KWARGS)\n", " return expl.explain(obs, target='node', model_kwargs=model_kwargs)\n", "\n", "node_df_A_1 = explain_node(model_A, obs_1)\n", "node_df_A_2 = explain_node(model_A, obs_2)\n", "node_df_B_1 = explain_node(model_B, obs_1, model_kwargs={'x_fn': xfn_obs_1})\n", "node_df_B_2 = explain_node(model_B, obs_2, model_kwargs={'x_fn': xfn_obs_2})\n", "\n", "print('Top-5 nodes per (model, observation):')\n", "for name, df in [('A | obs from G1', node_df_A_1), ('A | obs from G2', node_df_A_2),\n", " ('B | obs from G1', node_df_B_1), ('B | obs from G2', node_df_B_2)]:\n", " top = df.sort_values('score', ascending=False).head(5)\n", " print(f' {name:>20}: ' + ', '.join(f'{n}={s:.2f}' for n, s in zip(top['node'], top['score'])))" ] }, { "cell_type": "code", "execution_count": 29, "id": "c321ee82", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " setting | k | prec@k | AUROC\n", "------------------------------------------------\n", " A | obs from G1 | 4 | 0.750 | 0.750\n", " A | obs from G2 | 4 | 1.000 | 1.000\n", " B | obs from G1 | 4 | 1.000 | 1.000\n", " B | obs from G2 | 4 | 1.000 | 1.000\n" ] } ], "source": [ "# Quantitative comparison: restrict to function nodes (inputs/outputs are not part of the ground truth)\n", "def fn_scores(df):\n", " sub = df[df['node'].isin(function_nodes)].set_index('node').reindex(function_nodes)\n", " return sub['score'].to_numpy()\n", "\n", "def precision_at_k(scores, truth_mask, k):\n", " order = np.argsort(-scores)\n", " return float(truth_mask[order[:k]].mean())\n", "\n", "def auroc(scores, truth_mask):\n", " if truth_mask.sum() in (0, len(truth_mask)):\n", " return float('nan')\n", " return float(roc_auc_score(truth_mask, scores))\n", "\n", "def evaluate(df, active_set):\n", " scores = fn_scores(df)\n", " truth = np.array([1 if n in active_set else 0 for n in function_nodes], dtype=int)\n", " k = int(truth.sum())\n", " return {\n", " 'precision@k': precision_at_k(scores, truth, k),\n", " 'AUROC': auroc(scores, truth),\n", " 'k': k,\n", " }\n", "\n", "rows = []\n", "for label, df, active in [\n", " ('A | obs from G1', node_df_A_1, active_G1),\n", " ('A | obs from G2', node_df_A_2, active_G2),\n", " ('B | obs from G1', node_df_B_1, active_G1),\n", " ('B | obs from G2', node_df_B_2, active_G2),\n", "]:\n", " m = evaluate(df, active)\n", " rows.append((label, m['k'], m['precision@k'], m['AUROC']))\n", "\n", "print(f'{\"setting\":>20} | {\"k\":>2} | {\"prec@k\":>7} | {\"AUROC\":>6}')\n", "print('-' * 48)\n", "for label, k, p, a in rows:\n", " print(f'{label:>20} | {k:>2d} | {p:>7.3f} | {a:>6.3f}')" ] }, { "cell_type": "code", "execution_count": 30, "id": "a127f647", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Bar plot: per-function-node scores, colored by ground truth membership in the source graph\n", "fig, axes = plt.subplots(2, 2, figsize=(12, 7), sharey=True)\n", "panels = [\n", " (axes[0, 0], node_df_A_1, active_G1, 'Model A | obs from G1'),\n", " (axes[0, 1], node_df_A_2, active_G2, 'Model A | obs from G2'),\n", " (axes[1, 0], node_df_B_1, active_G1, 'Model B | obs from G1'),\n", " (axes[1, 1], node_df_B_2, active_G2, 'Model B | obs from G2'),\n", "]\n", "for ax, df, active, title in panels:\n", " scores = fn_scores(df)\n", " colors = ['tab:green' if n in active else 'tab:red' for n in function_nodes]\n", " ax.bar(function_nodes, scores, color=colors)\n", " ax.set_title(title)\n", " ax.set_ylim(0, 1)\n", " ax.tick_params(axis='x', rotation=45)\n", "axes[0, 0].set_ylabel('score')\n", "axes[1, 0].set_ylabel('score')\n", "fig.suptitle('Per-function-node importance (green = active in source graph, red = inactive)')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 31, "id": "b6fc3fd0", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Same four explanations rendered on the union-graph topology.\n", "# Node fill = explainer score (red shade), green outline = ground-truth active in source graph.\n", "fig, axes = plt.subplots(2, 2, figsize=(12, 10))\n", "panels = [\n", " (axes[0, 0], node_df_A_1, 'Model A | obs from G1', active_G1),\n", " (axes[0, 1], node_df_A_2, 'Model A | obs from G2', active_G2),\n", " (axes[1, 0], node_df_B_1, 'Model B | obs from G1', active_G1),\n", " (axes[1, 1], node_df_B_2, 'Model B | obs from G2', active_G2),\n", "]\n", "for ax, df, title, active in panels:\n", " score_map = dict(zip(df['node'], df['score']))\n", " node_colors = [score_map.get(n, 0.0) for n in G_union.nodes]\n", " nx.draw_networkx_edges(G_union, pos, ax=ax, arrowstyle='->', arrowsize=15,\n", " edge_color='gray', alpha=0.6)\n", " nx.draw_networkx_labels(G_union, pos, ax=ax, font_size=9)\n", " nx.draw_networkx_nodes(G_union, pos, ax=ax, nodelist=list(G_union.nodes),\n", " node_color=node_colors, cmap=plt.cm.Reds,\n", " vmin=0, vmax=1, node_size=650)\n", " active_in_graph = [n for n in active if n in G_union.nodes]\n", " if active_in_graph:\n", " nx.draw_networkx_nodes(G_union, pos, ax=ax, nodelist=active_in_graph,\n", " node_color='none', edgecolors='limegreen',\n", " linewidths=2.5, node_size=650)\n", " ax.set_title(title)\n", " ax.set_axis_off()\n", "plt.suptitle('Per-observation node importance on the union graph\\n'\n", " '(red fill = explainer score; green ring = ground-truth active function nodes)')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "7b7454d2", "metadata": {}, "source": [ "## Predicted function-node activities (Model B)\n", "\n", "We can also inspect the gates that `NodeActivity` produces directly. For each sample the module runs the binary `x_fn` through a small MLP and a sigmoid to yield one scalar `alpha` per function node, which is then broadcast across that node's channels at every layer.\n", "\n", "A well-trained gate should output `alpha ≈ 1` for function nodes that are *active* in the source graph and `alpha ≈ 0` for the ones that are not. Below we plot the predicted `alpha` next to the input mask for one observation from each graph." ] }, { "cell_type": "code", "execution_count": 32, "id": "9c8e6c88", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Extract per-function-node alpha from NodeActivity.\n", "# NodeActivity returns (B, Nf*C_pn) by broadcasting alpha across each node's channels,\n", "# so the per-node gate is recovered by reshaping and taking any channel slot.\n", "nact = model_B.node_activity_model\n", "nact.eval()\n", "with torch.no_grad():\n", " raw_1 = nact(xfn_obs_1).view(1, nact.n_nodes, nact.channels_per_node)\n", " raw_2 = nact(xfn_obs_2).view(1, nact.n_nodes, nact.channels_per_node)\n", " alpha_1 = raw_1[0, :, 0].cpu().numpy()\n", " alpha_2 = raw_2[0, :, 0].cpu().numpy()\n", "\n", "assert nact.n_nodes == len(function_nodes), (\n", " f\"NodeActivity expects {nact.n_nodes} function nodes, notebook uses {len(function_nodes)}\"\n", ")\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12, 4), sharey=True)\n", "panels = [\n", " (axes[0], alpha_1, xfn_obs_1[0].cpu().numpy(), 'obs from G1', active_G1),\n", " (axes[1], alpha_2, xfn_obs_2[0].cpu().numpy(), 'obs from G2', active_G2),\n", "]\n", "xpos = np.arange(len(function_nodes))\n", "width = 0.38\n", "for ax, alpha, mask, title, active in panels:\n", " bar_colors = ['tab:green' if n in active else 'tab:red' for n in function_nodes]\n", " ax.bar(xpos - width / 2, mask, width=width, color='lightgray',\n", " edgecolor='gray', label='input mask (x_fn)')\n", " ax.bar(xpos + width / 2, alpha, width=width, color=bar_colors,\n", " label='predicted alpha')\n", " ax.axhline(0.5, color='k', lw=0.5, ls=':')\n", " ax.set_xticks(xpos)\n", " ax.set_xticklabels(function_nodes, rotation=45)\n", " ax.set_ylim(0, 1.1)\n", " ax.set_title(title)\n", " ax.legend(loc='upper right', fontsize=8)\n", "axes[0].set_ylabel('value')\n", "fig.suptitle('NodeActivity gate per function node: input mask vs. predicted alpha')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "14f17460", "metadata": {}, "source": [ "## Takeaways\n", "\n", "- **Predictive performance:** Model B (with `node_activity`) typically achieves lower test MSE because the binary `x_fn` mask lets a single GSNN cleanly separate the two data-generating processes; Model A has to average over both.\n", "- **Node importances:** Because Model B's `NodeActivity` gates suppress channels of function nodes that are not active in a given sample, the explainer is forced to attribute predictions only to the *active* subset. Model A has no such mechanism, so its node importances tend to spread across function nodes from both source graphs, lowering precision@k and AUROC against the ground-truth active set.\n", "\n", "This is the simplest possible demonstration — the same setup can be extended to richer per-node features (`node_activity_dim > 1`), more than two graphs, or more realistic biology-inspired pathways." ] } ], "metadata": { "kernelspec": { "display_name": "gsnn", "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": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 5 }