analyze.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "from collections import Counter, defaultdict\n",
    "from typing import Dict, List, Optional, TypedDict\n",
    "import matplotlib.pyplot as plt\n",
    "from response_utils import load_responses, load_prompts\n",
    "\n",
    "class ResponseStats(TypedDict):\n",
    "    blue: int\n",
    "    red: int\n",
    "    refusal: int\n",
    "    other: int\n",
    "\n",
    "class ModelPromptStats(TypedDict):\n",
    "    model: str\n",
    "    prompt_id: str\n",
    "    stats: ResponseStats\n",
    "\n",
    "def get_response_stats(responses: List[Dict]) -> ResponseStats:\n",
    "    \"\"\"Calculate count of each answer type from responses\"\"\"\n",
    "    answers = [r[\"response\"][\"gemini_cleaned_response\"][\"answer\"] for r in responses]\n",
    "    counts = Counter(answers)\n",
    "    return dict(counts)\n",
    "\n",
    "def plot_response_distribution(model_stats: List[ModelPromptStats], title: str = \"Response Distribution\"):\n",
    "    \"\"\"Plot response distribution across models and prompts\"\"\"\n",
    "    # Sort model_prompts alphabetically\n",
    "    model_stats = sorted(model_stats, key=lambda x: (x[\"model\"], x[\"prompt_id\"]))\n",
    "    \n",
    "    # Get unique answers across all responses and sort them\n",
    "    all_answers = set()\n",
    "    for stat in model_stats:\n",
    "        all_answers.update(stat[\"stats\"].keys())\n",
    "    answers = sorted(list(all_answers))\n",
    "    \n",
    "    # Set up the plot dimensions\n",
    "    x_positions = range(len(model_stats))\n",
    "    bar_width = 0.8 / len(answers)\n",
    "    fig, ax = plt.subplots(figsize=(15, 8))\n",
    "    \n",
    "    # Define colors for each answer type\n",
    "    color_map = {\n",
    "        'blue': 'blue',\n",
    "        'red': 'red', \n",
    "        'refusal': 'gray',\n",
    "        'other': 'orange'\n",
    "    }\n",
    "    \n",
    "    # Plot bars for each answer type\n",
    "    for i, answer in enumerate(answers):\n",
    "        # Get counts for this answer type across all model/prompts\n",
    "        counts = [stat[\"stats\"].get(answer, 0) for stat in model_stats]\n",
    "        total_responses = [sum(stat[\"stats\"].values()) for stat in model_stats]\n",
    "        # Convert to percentages\n",
    "        percentages = [count/total*100 for count, total in zip(counts, total_responses)]\n",
    "            \n",
    "        # Calculate x positions for this set of bars\n",
    "        bar_positions = [x + i*bar_width for x in x_positions]\n",
    "        \n",
    "        # Plot the bars\n",
    "        ax.bar(bar_positions, percentages, bar_width,\n",
    "               label=answer, color=color_map.get(answer, 'purple'))\n",
    "    \n",
    "    # Customize the plot\n",
    "    ax.set_ylabel('Percentage')\n",
    "    ax.set_title(title)\n",
    "    \n",
    "    # Set x-axis ticks in middle of each group\n",
    "    tick_positions = [x + (bar_width * len(answers))/2 for x in x_positions]\n",
    "    ax.set_xticks(tick_positions)\n",
    "    \n",
    "    # Create and set x-axis labels with sample sizes\n",
    "    labels = [f\"{stat['model']}\\n{stat['prompt_id']}\\n(n={sum(stat['stats'].values())})\" \n",
    "             for stat in model_stats]\n",
    "    ax.set_xticklabels(labels, rotation=45, ha='right')\n",
    "    \n",
    "    ax.legend()\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "def analyze_model_responses(model_names: Optional[List[str]] = None, prompt_ids: Optional[List[str]] = None):\n",
    "    \"\"\"Analyze responses for specified models and prompts\"\"\"\n",
    "    # Load prompts for metadata\n",
    "    prompts = load_prompts()\n",
    "    \n",
    "    # Load all responses if no models specified\n",
    "    all_responses = load_responses()\n",
    "    \n",
    "    # Group responses by model and prompt\n",
    "    model_prompt_responses = defaultdict(lambda: defaultdict(list))\n",
    "    for response in all_responses:\n",
    "        model = response[\"llm\"]\n",
    "        prompt = response[\"prompt_id\"]\n",
    "        model_prompt_responses[model][prompt].append(response)\n",
    "    \n",
    "    # Filter for specified models if provided\n",
    "    if model_names:\n",
    "        model_prompt_responses = {k:v for k,v in model_prompt_responses.items() \n",
    "                                if k in model_names}\n",
    "    \n",
    "    # Calculate stats for each model-prompt combination\n",
    "    model_stats: List[ModelPromptStats] = []\n",
    "    for model, prompt_responses in model_prompt_responses.items():\n",
    "        for prompt_id, responses in prompt_responses.items():\n",
    "            if not prompt_ids or prompt_id in prompt_ids:\n",
    "                stats = get_response_stats(responses)\n",
    "                model_stats.append({\n",
    "                    \"model\": model,\n",
    "                    \"prompt_id\": prompt_id,\n",
    "                    \"stats\": stats\n",
    "                })\n",
    "    \n",
    "    # Plot results\n",
    "    plot_response_distribution(model_stats)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyze_model_responses([\"gemini-1.5-flash-002\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Xk08+OTvssEN23XXXvPjii7n44ouzySab1LnAJwAAnzEFAACakcsvv7wkKSNGjJjrtpkzZ5Z+/fqVfv36lRkzZpRSSnnllVfK17/+9dK9e/fSunXrsuKKK5add965XH/99ZX7nXrqqWXTTTctyyyzTGnfvn1ZY401yk9/+tMybdq0yjrDhw8vHTp0KK+88krZfvvty1JLLVW6detWTjrppDJz5sw64/jwww/LEUccUXr27Flat25d+vfvX84+++xSW1tbZ70k5ZBDDplrP1ZeeeUyfPjwUkopU6dOLUcddVRZb731ytJLL106dOhQ1ltvvXLxxRfPdb8nnnii7LHHHqVr166lbdu2ZeWVVy577713ufvuuz/xZzpy5MiSpPLVqlWr0qVLlzJgwIBy3HHHlddff32u+9xzzz0lSbnnnntKKaW8+uqr5Rvf+Ebp169fadeuXenSpUvZdttty1133VXnfi+88ELZaqutSvv27UuSyn6edNJJJUl555135nqs2bfN62d39dVXl/79+5e2bduWDTbYoDKeOd1xxx1l7bXXLm3atCmrr756ufrqq+e5zfmNbfb/uZEjR9ZZ/8ILLyxrrLFGad26denWrVv59re/XT744IM662y99dZlrbXWmmtMw4cPLyuvvPJcywEAaN5qSnElGgAA2G+//XL99dfPc8oTAABgyWAOcwAAAAAAiMIcAAAAAACSKMwBAAAAACBJYg5zAAAAAACIM8wBAAAAACCJwhwAAAAAAJIkrZp6AM1BbW1t3nzzzSy99NKpqalp6uEAAAAAAFBPSin58MMP07Nnz7Ro8cnnkCvMk7z55pvp1atXUw8DAAAAAIAGMnr06Ky00kqfuI7CPMnSSy+dZNYPrFOnTk08GgAAAAAA6suECRPSq1evSg/8SRTmSWUalk6dOinMAQAAAAA+gxZkOm4X/QQAAAAAgCjMAQAAAAAgicIcAAAAAACSmMMcAAAAAKDezJw5M9OnT2/qYSxRWrdunZYtW9bLthTmAAAAAACLqZSSMWPGZNy4cU09lCXSMsssk+7duy/QhT0/icIcAAAAAGAxzS7LV1hhhSy11FKLXdyyYEopmTx5ct5+++0kSY8ePRZrewpzAAAAAIDFMHPmzEpZ3rVr16YezhKnffv2SZK33347K6ywwmJNz+KinwAAAAAAi2H2nOVLLbVUE49kyTX7Z7+488crzAEAAAAA6oFpWJpOff3sFeYAAAAAABCFOQAAAADAEmubbbbJ4YcfPt/b+/Tpk/POO6/RxtPUXPQTAAAAAKABNPYMLaU07uN9FjnDHAAAAAAAojAHAAAAAFiizZgxI4ceemg6d+6c5ZZbLieccELKPE5Xf+2111JTU5Mnn3yysmzcuHGpqanJvffeW1n2zDPPZOjQoenYsWO6deuWr33ta3n33XcbYU8Wn8IcAAAAAGAJduWVV6ZVq1Z55JFH8otf/CLnnHNOfvOb3yzStsaNG5dBgwZlgw02yKOPPprbbrstY8eOzd57713Po24Y5jAHAAAAAFiC9erVK+eee25qamqy+uqr5+mnn865556bgw46aKG3deGFF2aDDTbIaaedVll22WWXpVevXnnppZey2mqr1efQ650zzAEAAAAAlmCbbbZZaua4QunAgQPz8ssvZ+bMmQu9raeeeir33HNPOnbsWPlaY401kiSvvPJKvY25oTjDHAAAAACAT9Wixazzr+ec33z69Ol11pk4cWJ22WWXnHnmmXPdv0ePHg07wHqgMAcAAAAAWII9/PDDdb5/6KGH0r9//7Rs2bLO8uWXXz5J8tZbb2WDDTZIkjoXAE2SDTfcMDfccEP69OmTVq2qr342JQsAAAAAwBJs1KhROfLII/Piiy/mD3/4Qy644IJ873vfm2u99u3bZ7PNNssZZ5yR559/Pvfdd1+OP/74Ousccsghef/997PvvvtmxIgReeWVV3L77bdn//33X6QpXhpbkxbm//znP7PLLrukZ8+eqampyU033VTn9lJKTjzxxPTo0SPt27fP4MGD8/LLL9dZ5/33389XvvKVdOrUKcsss0wOOOCATJw4sRH3AgAAAACgen3961/PRx99lE033TSHHHJIvve97+Xggw+e57qXXXZZZsyYkY022iiHH354Tj311Dq39+zZM/fff39mzpyZ7bffPuuss04OP/zwLLPMMpUpXZqzJj0nftKkSVlvvfXyjW98I3vsscdct5911lk5//zzc+WVV6Zv37454YQTMmTIkDz33HNp165dkuQrX/lK3nrrrdx5552ZPn169t9//xx88MG55pprGnt3AAAAAAAq5pjqu9m69957K/++5JJL5rr9tddeq/P9mmuumQceeKDOsvKxHe3fv39uvPHGehtjY2rSwnzo0KEZOnToPG8rpeS8887L8ccfn9122y1JctVVV6Vbt2656aabss8+++T555/PbbfdlhEjRmTjjTdOklxwwQXZcccd87Of/Sw9e/ZstH0BAAAAAKC6Ndtz4EeOHJkxY8Zk8ODBlWWdO3fOgAED8uCDDyZJHnzwwSyzzDKVsjxJBg8enBYtWsw1Uf2cpk6dmgkTJtT5AgAAAABgydZsL1M6ZsyYJEm3bt3qLO/WrVvltjFjxmSFFVaoc3urVq3SpUuXyjrzcvrpp+fkk0+u5xFXt5qaph7BgquGj7I0tGrKK5EZ1ccxVn2qKTN5VVdeicyS6spMXtWVVyKzpLoyk1d15ZXILKmuzORVfWZ3jB06dMgWW2yRt99+O61aNc/K1WwcC6bZnmHekI477riMHz++8jV69OimHhIAAAAAAE2s2Rbm3bt3T5KMHTu2zvKxY8dWbuvevXvefvvtOrfPmDEj77//fmWdeWnbtm06depU5wsAAAAAgCVbsy3M+/btm+7du+fuu++uLJswYUIefvjhDBw4MEkycODAjBs3Lo899lhlnX/84x+pra3NgAEDGn3MAAAAAABUryadUGfixIn573//W/l+5MiRefLJJ9OlS5f07t07hx9+eE499dT0798/ffv2zQknnJCePXvmi1/8YpJkzTXXzA477JCDDjool156aaZPn55DDz00++yzjzl5AAAAAABYKE1amD/66KPZdtttK98feeSRSZLhw4fniiuuyNFHH51Jkybl4IMPzrhx47LlllvmtttuS7t27Sr3+f3vf59DDz002223XVq0aJFhw4bl/PPPb/R9AQAAAACgujVpYb7NNtukfMLlf2tqanLKKafklFNOme86Xbp0yTXXXNMQwwMAAAAAYAnSbOcwBwAAAACg+Sml5OCDD06XLl1SU1OTJ598ssEf8957701NTU3GjRvXoI/TpGeYAwAAAAB8Vv36179u1Mc76KCDGuVxbrvttlxxxRW59957s8oqq2S55ZZrlMdtDApzAAAAAACSJNOmTUubNm0+cZ1XXnklPXr0yOabb95Io2o8pmQBAAAAAFhCbbPNNjn00ENz+OGHZ7nllsuQIUPyzDPPZOjQoenYsWO6deuWr33ta3n33XeTJPvtt1+++93vZtSoUampqUmfPn2SJH369Ml5551XZ9vrr79+fvzjHyeZNY3Lj3/84/Tu3Ttt27ZNz549c9hhh1XW/d3vfpeNN944Sy+9dLp3754vf/nLefvttxvjR1CHwhwAAAAAYAl25ZVXpk2bNrn//vtzxhlnZNCgQdlggw3y6KOP5rbbbsvYsWOz9957J0l+8Ytf5JRTTslKK62Ut956KyNGjFigx7jhhhty7rnn5pe//GVefvnl3HTTTVlnnXUqt0+fPj0/+clP8tRTT+Wmm27Ka6+9lv32268hdvcTmZIFAAAAAGAJ1r9//5x11llJklNPPTUbbLBBTjvttMrtl112WXr16pWXXnopq622WpZeeum0bNky3bt3X+DHGDVqVLp3757BgwendevW6d27dzbddNPK7d/4xjcq/15llVVy/vnnZ5NNNsnEiRPTsWPHetjLBeMMcwAAAACAJdhGG21U+fdTTz2Ve+65Jx07dqx8rbHGGklmzV2+qPbaa6989NFHWWWVVXLQQQflz3/+c2bMmFG5/bHHHssuu+yS3r17Z+mll87WW2+dZFbR3pgU5gAAAAAAS7AOHTpU/j1x4sTssssuefLJJ+t8vfzyy9lqq63mu40WLVqklFJn2fTp0yv/7tWrV1588cVcfPHFad++fb7zne9kq622yvTp0zNp0qQMGTIknTp1yu9///uMGDEif/7zn5PMughpYzIlCwAAAAAASZINN9wwN9xwQ/r06ZNWrRa8Pl5++eXz1ltvVb6fMGFCRo4cWWed9u3bZ5dddskuu+ySQw45JGussUaefvrplFLy3nvv5YwzzkivXr2SJI8++mj97NBCcoY5AAAAAABJkkMOOSTvv/9+9t1334wYMSKvvPJKbr/99uy///6ZOXPmfO83aNCg/O53v8u//vWvPP300xk+fHhatmxZuf2KK67Ib3/72zzzzDN59dVXc/XVV6d9+/ZZeeWV07t377Rp0yYXXHBBXn311dx88835yU9+0hi7OxeFOQAAAAAASZKePXvm/vvvz8yZM7P99ttnnXXWyeGHH55lllkmLVrMv04+7rjjsvXWW2fnnXfOTjvtlC9+8Yvp169f5fZlllkmv/71r7PFFltk3XXXzV133ZVbbrklXbt2zfLLL58rrrgi1113XT73uc/ljDPOyM9+9rPG2N251JSPTyyzBJowYUI6d+6c8ePHp1OnTk09nCZRU9PUI1hw/sdWV16JzKg+jrHqU02Zyau68kpkllRXZvKqrrwSmSXVlZm8qiuvRGZJdWUmr+pz8sknJ5k1B/gWW2yRFVdccaGmMWlMPXv2bOohNKgpU6Zk5MiR6du3b9q1a1fntoXpf51hDgAAAAAAUZgDAAAAAECSpHl+PgCAJjP742TV4qSTTmrqIQAAAACfEc4wBwAAAACAKMwBAAAAACCJwhwAAAAAoF6UUpp6CEus2traetmOOcwBAAAAABbD5MmT89FHH+WDDz5I586d06JFi9TU1DT1sOqYMmVKUw+hQZRSMm3atLzzzjtp0aJF2rRps1jbU5gDAAAAACyGUkpGjBiR1VdfPcsvv3xatGh+E3tMmjSpqYfQoJZaaqn07t17sX/2CnMAAAAAgMU0ZcqUPPXUU2nTpk1at27d1MOZy6GHHtrUQ2gwLVu2TKtWrerlrH6FOQAAAABAPZk2bVqmTZvW1MOYS7t27Zp6CFWh+X02AAAAAAAAmoDCHAAAAAAAojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEjSzAvzmTNn5oQTTkjfvn3Tvn379OvXLz/5yU9SSqmsU0rJiSeemB49eqR9+/YZPHhwXn755SYcNQAAAAAA1ahZF+ZnnnlmLrnkklx44YV5/vnnc+aZZ+ass87KBRdcUFnnrLPOyvnnn59LL700Dz/8cDp06JAhQ4ZkypQpTThyAAAAAACqTaumHsAneeCBB7Lbbrtlp512SpL06dMnf/jDH/LII48kmXV2+XnnnZfjjz8+u+22W5LkqquuSrdu3XLTTTdln332abKxAwAAAABQXZr1Geabb7557r777rz00ktJkqeeeir//ve/M3To0CTJyJEjM2bMmAwePLhyn86dO2fAgAF58MEH57vdqVOnZsKECXW+AAAAAABYsjXrM8yPPfbYTJgwIWussUZatmyZmTNn5qc//Wm+8pWvJEnGjBmTJOnWrVud+3Xr1q1y27ycfvrpOfnkkxtu4AAAAAAAVJ1mfYb5n/70p/z+97/PNddck8cffzxXXnllfvazn+XKK69crO0ed9xxGT9+fOVr9OjR9TRiAAAAAACqVbM+w/yoo47KscceW5mLfJ111snrr7+e008/PcOHD0/37t2TJGPHjk2PHj0q9xs7dmzWX3/9+W63bdu2adu2bYOOHQAAAACA6tKszzCfPHlyWrSoO8SWLVumtrY2SdK3b9907949d999d+X2CRMm5OGHH87AgQMbdawAAAAAAFS3Zn2G+S677JKf/vSn6d27d9Zaa6088cQTOeecc/KNb3wjSVJTU5PDDz88p556avr375++ffvmhBNOSM+ePfPFL36xaQcPAAAAAEBVadaF+QUXXJATTjgh3/nOd/L222+nZ8+e+eY3v5kTTzyxss7RRx+dSZMm5eCDD864ceOy5ZZb5rbbbku7du2acOQAAAAAAFSbZl2YL7300jnvvPNy3nnnzXedmpqanHLKKTnllFMab2AAAAAAAHzmNOs5zAEAAAAAoLEozAEAAAAAIApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASKIwBwAAAACAJApzAAAAAABIojAHAAAAAIAkCnMAAAAAAEiiMAcAAAAAgCQKcwAAAAAASFIFhfkbb7yRr371q+natWvat2+fddZZJ48++mjl9lJKTjzxxPTo0SPt27fP4MGD8/LLLzfhiAEAAAAAqEbNujD/4IMPssUWW6R169a59dZb89xzz+XnP/95ll122co6Z511Vs4///xceumlefjhh9OhQ4cMGTIkU6ZMacKRAwAAAABQbVo19QA+yZlnnplevXrl8ssvryzr27dv5d+llJx33nk5/vjjs9tuuyVJrrrqqnTr1i033XRT9tlnn0YfMwAAAAAA1alZn2F+8803Z+ONN85ee+2VFVZYIRtssEF+/etfV24fOXJkxowZk8GDB1eWde7cOQMGDMiDDz7YFEMGAAAAAKBKNevC/NVXX80ll1yS/v375/bbb8+3v/3tHHbYYbnyyiuTJGPGjEmSdOvWrc79unXrVrltXqZOnZoJEybU+QIAAAAAYMnWrKdkqa2tzcYbb5zTTjstSbLBBhvkmWeeyaWXXprhw4cv8nZPP/30nHzyyfU1TAAAAAAAPgOa9RnmPXr0yOc+97k6y9Zcc82MGjUqSdK9e/ckydixY+usM3bs2Mpt83Lcccdl/Pjxla/Ro0fX88gBAAAAAKg2zbow32KLLfLiiy/WWfbSSy9l5ZVXTjLrAqDdu3fP3XffXbl9woQJefjhhzNw4MD5brdt27bp1KlTnS8AAAAAAJZszXpKliOOOCKbb755TjvttOy999555JFH8qtf/Sq/+tWvkiQ1NTU5/PDDc+qpp6Z///7p27dvTjjhhPTs2TNf/OIXm3bwAAAAAABUlUUuzMeNG5frr78+r7zySo466qh06dIljz/+eLp165YVV1yxXga3ySab5M9//nOOO+64nHLKKenbt2/OO++8fOUrX6msc/TRR2fSpEk5+OCDM27cuGy55Za57bbb0q5du3oZAwAAAAAAS4ZFKsz/85//ZPDgwencuXNee+21HHTQQenSpUtuvPHGjBo1KldddVW9DXDnnXfOzjvvPN/ba2pqcsopp+SUU06pt8cEAAAAAGDJs0hzmB955JHZb7/98vLLL9c5k3vHHXfMP//5z3obHAAAAAAANJZFKsxHjBiRb37zm3MtX3HFFTNmzJjFHhQAAAAAADS2RSrM27ZtmwkTJsy1/KWXXsryyy+/2IMCAAAAAIDGtkiF+a677ppTTjkl06dPTzJrHvFRo0blmGOOybBhw+p1gAAAAAAA0BgWqTD/+c9/nokTJ2aFFVbIRx99lK233jqrrrpqll566fz0pz+t7zECAAAAAECDa7Uod+rcuXPuvPPO/Pvf/85//vOfTJw4MRtuuGEGDx5c3+MDAAAAAIBGsUiF+Wxbbrllttxyy/oaCwAAAAAANJlFKszPP//8eS6vqalJu3btsuqqq2arrbZKy5YtF2twAAAAAADQWBapMD/33HPzzjvvZPLkyVl22WWTJB988EGWWmqpdOzYMW+//XZWWWWV3HPPPenVq1e9DhgAAAAAABrCIl3087TTTssmm2ySl19+Oe+9917ee++9vPTSSxkwYEB+8YtfZNSoUenevXuOOOKI+h4vAAAAAAA0iEU6w/z444/PDTfckH79+lWWrbrqqvnZz36WYcOG5dVXX81ZZ52VYcOG1dtAAQAAAACgIS3SGeZvvfVWZsyYMdfyGTNmZMyYMUmSnj175sMPP1y80QEAAAAAQCNZpMJ82223zTe/+c088cQTlWVPPPFEvv3tb2fQoEFJkqeffjp9+/atn1ECAAAAAEADW6TC/Le//W26dOmSjTbaKG3btk3btm2z8cYbp0uXLvntb3+bJOnYsWN+/vOf1+tgAQAAAACgoSzSHObdu3fPnXfemRdeeCEvvfRSkmT11VfP6quvXlln2223rZ8RAgAAAABAI1ikwny2NdZYI2ussUZ9jQUAAAAAAJrMIhfm//vf/3LzzTdn1KhRmTZtWp3bzjnnnMUeGAAAAAAANKZFKszvvvvu7LrrrllllVXywgsvZO21185rr72WUko23HDD+h4jAAAAAAA0uEW66Odxxx2XH/zgB3n66afTrl273HDDDRk9enS23nrr7LXXXvU9RgAAAAAAaHCLVJg///zz+frXv54kadWqVT766KN07Ngxp5xySs4888x6HSAAAAAAADSGRSrMO3ToUJm3vEePHnnllVcqt7377rv1MzIAAAAAAGhEizSH+WabbZZ///vfWXPNNbPjjjvm+9//fp5++unceOON2Wyzzep7jAAAAAAA0OAWqTA/55xzMnHixCTJySefnIkTJ+baa69N//79c84559TrAAEAAAAAoDEsUmG+yiqrVP7doUOHXHrppfU2IAAAAAAAaAqLNIf5Kquskvfee2+u5ePGjatTpgMAAAAAQLVYpML8tddey8yZM+daPnXq1LzxxhuLPSgAAAAAAGhsCzUly80331z59+23357OnTtXvp85c2buvvvu9OnTp94GBwAAAAAAjWWhCvMvfvGLSZKampoMHz68zm2tW7dOnz598vOf/7zeBgcAAAAAAI1loQrz2traJEnfvn0zYsSILLfccg0yKAAAAAAAaGwLVZjPNnLkyPoeBwAAAAAANKlFKsyT5O67787dd9+dt99+u3Lm+WyXXXbZYg8MAAAAAAAa0yIV5ieffHJOOeWUbLzxxunRo0dqamrqe1wAAAAAANCoFqkwv/TSS3PFFVfka1/7Wn2PBwAAAAAAmkSLRbnTtGnTsvnmm9f3WAAAAAAAoMksUmF+4IEH5pprrqnvsQAAAAAAQJNZpClZpkyZkl/96le56667su6666Z169Z1bj/nnHPqZXAAAAAAANBYFqkw/89//pP1118/SfLMM8/Uuc0FQAEAAAAAqEaLVJjfc8899T0OAAAAAABoUos0h/ls//3vf3P77bfno48+SpKUUuplUAAAAAAA0NgWqTB/7733st1222W11VbLjjvumLfeeitJcsABB+T73/9+vQ4QAAAAAAAawyIV5kcccURat26dUaNGZamllqos/9KXvpTbbrut3gYHAAAAAACNZZHmML/jjjty++23Z6WVVqqzvH///nn99dfrZWAAAAAAANCYFukM80mTJtU5s3y2999/P23btl3sQQEAAAAAQGNbpML885//fK666qrK9zU1Namtrc1ZZ52Vbbfdtt4GBwAAAAAAjWWRpmQ566yzst122+XRRx/NtGnTcvTRR+fZZ5/N+++/n/vvv7++xwgAAAAAAA1ukc4wX3vttfPSSy9lyy23zG677ZZJkyZljz32yBNPPJF+/frV9xgBAAAAAKDBLdIZ5knSuXPn/OhHP6rPsQAAAAAAQJNZpDPML7/88lx33XVzLb/uuuty5ZVXLvagAAAAAACgsS1SYX766adnueWWm2v5CiuskNNOO22xBwUAAAAAAI1tkQrzUaNGpW/fvnMtX3nllTNq1KjFHhQAAAAAADS2RSrMV1hhhfznP/+Za/lTTz2Vrl27LvagAAAAAACgsS1SYb7vvvvmsMMOyz333JOZM2dm5syZ+cc//pHvfe972Weffep7jAAAAAAA0OBaLcqdfvKTn+S1117Ldtttl1atZm2itrY2X//6181hDgAAAABAVVrowryUkjFjxuSKK67IqaeemieffDLt27fPOuusk5VXXrkhxggAAAAAAA1ukQrzVVddNc8++2z69++f/v37N8S4AAAAAACgUS30HOYtWrRI//7989577zXEeAAAAAAAoEks0kU/zzjjjBx11FF55pln6ns8AAAAAADQJBbpop9f//rXM3ny5Ky33npp06ZN2rdvX+f2999/v14GBwAAAAAAjWWRCvPzzjuvnocBAAAAAABNa5EK8+HDh9f3OAAAAAAAoEkt0hzmSfLKK6/k+OOPz7777pu33347SXLrrbfm2WefrbfBAQAAAABAY1mkwvy+++7LOuusk4cffjg33nhjJk6cmCR56qmnctJJJ9XrAAEAAAAAoDEsUmF+7LHH5tRTT82dd96ZNm3aVJYPGjQoDz30UL0NDgAAAAAAGssiFeZPP/10dt9997mWr7DCCnn33XcXe1AAAAAAANDYFqkwX2aZZfLWW2/NtfyJJ57IiiuuuNiDAgAAAACAxrZIhfk+++yTY445JmPGjElNTU1qa2tz//335wc/+EG+/vWv1/cYAQAAAACgwS1SYX7aaadlzTXXTO/evTNx4sR87nOfy1ZbbZXNN988xx9/fH2PEQAAAAAAGlyrhVm5trY2Z599dm6++eZMmzYtX/va1zJs2LBMnDgxG2ywQfr3799Q4wQAAAAAgAa1UIX5T3/60/z4xz/O4MGD0759+1xzzTUppeSyyy5rqPEBAAAAAECjWKgpWa666qpcfPHFuf3223PTTTfllltuye9///vU1tY21PgAAAAAAKBRLFRhPmrUqOy4446V7wcPHpyampq8+eab9T4wAAAAAABoTAtVmM+YMSPt2rWrs6x169aZPn16vQ4KAAAAAAAa20LNYV5KyX777Ze2bdtWlk2ZMiXf+ta30qFDh8qyG2+8sf5GCAAAAAAAjWChCvPhw4fPteyrX/1qvQ0GAAAAAACaykIV5pdffnlDjQMAAAAAAJrUQs1hDgAAAAAAn1UKcwAAAAAAiMIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJJUWWF+xhlnpKamJocffnhl2ZQpU3LIIYeka9eu6dixY4YNG5axY8c23SABAAAAAKhKVVOYjxgxIr/85S+z7rrr1ll+xBFH5JZbbsl1112X++67L2+++Wb22GOPJholAAAAAADVqioK84kTJ+YrX/lKfv3rX2fZZZetLB8/fnx++9vf5pxzzsmgQYOy0UYb5fLLL88DDzyQhx56qAlHDAAAAABAtamKwvyQQw7JTjvtlMGDB9dZ/thjj2X69Ol1lq+xxhrp3bt3Hnzwwflub+rUqZkwYUKdLwAAAAAAlmytmnoAn+aPf/xjHn/88YwYMWKu28aMGZM2bdpkmWWWqbO8W7duGTNmzHy3efrpp+fkk0+u76ECAAAAAFDFmvUZ5qNHj873vve9/P73v0+7du3qbbvHHXdcxo8fX/kaPXp0vW0bAAAAAIDq1KwL88ceeyxvv/12Ntxww7Rq1SqtWrXKfffdl/PPPz+tWrVKt27dMm3atIwbN67O/caOHZvu3bvPd7tt27ZNp06d6nwBAAAAALBka9ZTsmy33XZ5+umn6yzbf//9s8Yaa+SYY45Jr1690rp169x9990ZNmxYkuTFF1/MqFGjMnDgwKYYMgAAAAAAVapZF+ZLL7101l577TrLOnTokK5du1aWH3DAATnyyCPTpUuXdOrUKd/97nczcODAbLbZZk0xZAAAAAAAqlSzLswXxLnnnpsWLVpk2LBhmTp1aoYMGZKLL764qYcFAAAAAECVqbrC/N57763zfbt27XLRRRfloosuapoBAQAAAADwmdCsL/oJAAAAAACNRWEOAAAAAABRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAECSZl6Yn3766dlkk02y9NJLZ4UVVsgXv/jFvPjii3XWmTJlSg455JB07do1HTt2zLBhwzJ27NgmGjEAAAAAANWqWRfm9913Xw455JA89NBDufPOOzN9+vRsv/32mTRpUmWdI444Irfcckuuu+663HfffXnzzTezxx57NOGoAQAAAACoRq2aegCf5Lbbbqvz/RVXXJEVVlghjz32WLbaaquMHz8+v/3tb3PNNddk0KBBSZLLL788a665Zh566KFsttlmTTFsAAAAAACqULM+w/zjxo8fnyTp0qVLkuSxxx7L9OnTM3jw4Mo6a6yxRnr37p0HH3ywScYIAAAAAEB1atZnmM+ptrY2hx9+eLbYYousvfbaSZIxY8akTZs2WWaZZeqs261bt4wZM2a+25o6dWqmTp1a+X7ChAkNMmYAAAAAAKpH1Zxhfsghh+SZZ57JH//4x8Xe1umnn57OnTtXvnr16lUPIwQAAAAAoJpVRWF+6KGH5q9//WvuueeerLTSSpXl3bt3z7Rp0zJu3Lg6648dOzbdu3ef7/aOO+64jB8/vvI1evTohho6AAAAAABVolkX5qWUHHroofnzn/+cf/zjH+nbt2+d2zfaaKO0bt06d999d2XZiy++mFGjRmXgwIHz3W7btm3TqVOnOl8AAAAAACzZmvUc5occckiuueaa/OUvf8nSSy9dmZe8c+fOad++fTp37pwDDjggRx55ZLp06ZJOnTrlu9/9bgYOHJjNNtusiUcPAAAAAEA1adaF+SWXXJIk2Wabbeosv/zyy7PffvslSc4999y0aNEiw4YNy9SpUzNkyJBcfPHFjTxSAAAAAACqXbMuzEspn7pOu3btctFFF+Wiiy5qhBEBAAAAAPBZ1aznMAcAAAAAgMaiMAcAAAAAgCjMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBAAAAACCJwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMAQAAAAAgicIcAAAAAACSKMwBGkVNTfV8AQAAACypFOYAAAAAABCFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAEoU5AAAAAAAkUZgDAAAAAEAShTkAAAAAACRRmAMAAAAAQBKFOQAAAAAAJFGYAwAAAABAks9QYX7RRRelT58+adeuXQYMGJBHHnmkqYcEAAAAAEAV+UwU5tdee22OPPLInHTSSXn88cez3nrrZciQIXn77bebemgAAAAAAFSJz0Rhfs455+Sggw7K/vvvn8997nO59NJLs9RSS+Wyyy5r6qEBAAAAAFAlWjX1ABbXtGnT8thjj+W4446rLGvRokUGDx6cBx98cJ73mTp1aqZOnVr5fvz48UmSCRMmNOxgqRdiqj4yqy5Tpkxp6iEsFM/djrFqI6/qI7PqIq/qI7PqIq/qI7PqIq/qU02/Qy/Jvz/P3vdSyqeuW1MWZK1m7M0338yKK66YBx54IAMHDqwsP/roo3Pffffl4Ycfnus+P/7xj3PyySc35jABAAAAAGhCo0ePzkorrfSJ61T9GeaL4rjjjsuRRx5Z+b62tjbvv/9+unbtmpqamiYcGU1lwoQJ6dWrV0aPHp1OnTo19XD4FPKqPjKrLvKqPjKrLvKqPjKrLvKqPjKrLvKqPjKrLvJqGKWUfPjhh+nZs+enrlv1hflyyy2Xli1bZuzYsXWWjx07Nt27d5/nfdq2bZu2bdvWWbbMMss01BCpIp06dfJkVEXkVX1kVl3kVX1kVl3kVX1kVl3kVX1kVl3kVX1kVl3kVf86d+68QOtV/UU/27Rpk4022ih33313ZVltbW3uvvvuOlO0AAAAAADAJ6n6M8yT5Mgjj8zw4cOz8cYbZ9NNN815552XSZMmZf/992/qoQEAAAAAUCU+E4X5l770pbzzzjs58cQTM2bMmKy//vq57bbb0q1bt6YeGlWibdu2Oemkk+aaqofmSV7VR2bVRV7VR2bVRV7VR2bVRV7VR2bVRV7VR2bVRV5Nr6aUUpp6EAAAAAAA0NSqfg5zAAAAAACoDwpzAAAAAACIwhwAAAAAAJIozAEAAAAAIInCHAAAAAAAkijMaUZKKU09BBaSzKqLvKqPzKqLvKqPzKqLvKqPzKqLvKqPzKqLvKqPzJZcCnMaXW1tbZLko48+yrhx4/LRRx8lSWpqajwZNVMyqy7yqj4yqy7yqj4yqy7yqj4yqy7yqj4yqy7yqj4y4+MU5jSq2tratGjRIs8991z22WefbL755tltt91ywQUXJJn1ZETzIrPqIq/qI7PqIq/qI7PqIq/qI7PqIq/qI7PqIq/qIzPmRWFOoymlVJ6Ettpqq/Tq1StHHHFEunfvnmuvvTYjRoxo6iHyMTKrLvKqPjKrLvKqPjKrLvKqPjKrLvKqPjKrLvKqPjJjvgo0onfffbdss8025bDDDqssGz9+fFlllVXKqaee2oQjY35kVl3kVX1kVl3kVX1kVl3kVX1kVl3kVX1kVl3kVX1kxrw4w5xGNXr06HTr1i3Dhg1LksyYMSOdOnXKzjvvnA8++CDJ/80dlbjAQnMgs+oir+ojs+oir+ojs+oir+ojs+oir+ojs+oir+ojM+ZFYU6Dm/PJZKWVVsruu++erbbaKknSsmXLyjpvv/12krrzQ5krqmnIrLrIq/rIrLrIq/rIrLrIq/rIrLrIq/rIrLrIq/rIjE+jMKfBzP4L3MyZM5MkU6dOzXLLLZe99toryawnn9lPNKWUTJkyJcmsJ58zzjgjJ510UhOMeskms+oir+ojs+oir+ojs+oir+ojs+oir+ojs+oir+ojMxZUq6YeAJ9Ns68y/NJLL+X888/P//73v3Tt2jU//OEP069fv8rtsy233HL56KOPkiQ//OEP8/Of/zyPPPJIUw1/iSSz6iKv6iOz6iKv6iOz6iKv6iOz6iKv6iOz6iKv6iMzFoYzzKl3s59knnnmmWy++eaZMmVKll566YwePTp777133nnnnTpPQkkyffr0tG7dOj/5yU9y7rnn5oEHHsh6663XRHuw5JFZdZFX9ZFZdZFX9ZFZdZFX9ZFZdZFX9ZFZdZFX9ZEZC61+rh0Kdb355ptlgw02KEcffXRl2b/+9a+y9tprl3vuuWeu9Y866qhSU1NTOnToUB599NFGHCmzyay6yKv6yKy6yKv6yKy6yKv6yKy6yKv6yKy6yKv6yIyF4QxzGsQTTzyRzp07Z//9969cTGHLLbdMTU1Nnn322bnW79OnT/r165eHH344G220UWMPl8is2sir+sisusir+sisusir+sisusir+sisusir+siMhaEwp0GsssoqOeCAA7LGGmukpqYmM2bMSJJ07Ngx06ZNm2v9XXbZJffee2/WWmutxh4q/19DZzb7BYn64RirPjKrLp4Tq49jrLrIq/o0RGaeCxtOQ+clu/rnebG6NNQxNq/7Uj8aIrMPP/ww7777boONmabjop8sto9fGCFJ1lhjjayxxhqV21u1mvVfbZlllsn06dMr65155pnZfffds9pqq33q47z55pvp0aNH5YrFLLrGyOyBBx7ISy+9lNGjR+fAAw9Mjx496lxxmgXXWMfYbbfdloceeigvvPBCDj300GyxxRZJIrNF0BiZTZw4MR07dqznkS+ZGusY++9//5tJkyYlifkPF1NjZPbYY4/l9ddfT4sWLbL55ptnhRVWqOe9WHI01jGWxHuNetJYmU2fPj1t2rTJjBkz0qpVq3k+Lp+usfL64IMP0rZt28ycOTOdOnWS12JojMwefPDBtG3bNhtuuGE9j37J0xh53XzzzfnLX/6S559/PkOGDMl3v/vddOnSpZ73ZMnRGJn98Y9/zJVXXplnn302W2+9dY455pisvfba9bwnNBWvbiyW2U9CL774Yn7wgx/k61//es4+++y8+OKL811/9l/xTjzxxBx33HGVqw5/kiuvvDL9+vXLH//4x3od/5KoMTK77LLLss8+++SXv/xlfvOb32T99dfPG2+8kZqaGmejLKTGOsZ++9vf5qtf/WpeeumlvPbaa9lhhx3yyiuvKB0WQWNk9oc//CHf+c538tJLL9X7+Jc0jXWMXXXVVdlll10ybNiwbLDBBjn++OPrdT+WJI2R2eWXX57ddtstZ555ZvbYY4/88Ic/TG1tbb3vy5KgsY6xO+64I4888oj3GvWgsTK76aab8q1vfSuDBg3KD3/4w/zvf/9LixYt5LeQGiuva6+9NnvvvXe23HLL7LTTTnnllVeU5Yuosd4rbrHFFvne976XZ555pt73YUnSWO879t9//7Rv3z4bbbRRzjjjjPzkJz+p931ZUjRWZgcffHC23nrrnHjiibn99ttzxRVX1FnH61mVa7zp0vmsevbZZ0unTp3K0KFDy5e+9KWy7LLLlkGDBpVLL720ss7UqVNLKaVsueWW5cILLyy/+MUvStu2bctjjz32qdu/5557ysorr1w23HDD0qFDh/KHP/yhwfZlSdGQmf3lL38pyy67bLn++uvL+PHjy+TJk8s222xT9thjjwbdp8+yhj7GbrjhhrLMMsuUm266qcycObOUUspaa61V/v73vzfMDi0BGjKzW265pXTo0KHU1NSUPffcs7z66qsNui9LgoY+xv7whz+Ujh07lmuuuaY8++yz5brrris1NTXlb3/7W4Pt02ddQ2b2+9//vnTq1Kn86U9/KlOnTi233nprqampKa+99lqd9Wpra+t/xz6jGvoY+9Of/lRqamrKaqutVh544IFSinwWV0Nndtlll5WOHTuW448/vuy7775l2223LV/72tfK5MmTG2yfPssaI6+lllqqnHvuueXcc88tgwYNKsOHD68cZ463hdeQmT355JNl/fXXL8ccc0zp27dvGThwYHn66acbdH8+6xoyr/vuu6+svPLK5eqrr64su+WWW8qyyy5bXnrppYbZoSVAQ2Z21113lR49epRrr722suzMM88sxx9/fHnjjTcq2y3F82M1U5izyGpra8u0adPK17/+9XLAAQdUlo8cObJ8+ctfLgMGDCjnnHNOnfvsvvvupVOnTqVjx47lkUce+dTHmDRpUjnzzDPLAQccUN56661yzDHHlDZt2ijNF1FDZ/buu++WL37xi+Xkk0+us/yMM84oW265Zf3tyBKiMY6xt99+u3zlK18p5513Xp3lG2+8cdl///3LoEGDykUXXVRefvnl+tmpz7iGzuydd94pw4cPLz/84Q/LAw88UDp16lR22203pfkiaoxj7L///W/ZaqutykUXXVR5zFJK2XnnncuRRx5ZZxmfrqEze/HFF8tWW21VLrnkksqyCRMmlMGDB5df/epX5de//nX517/+Vb879RnWGMfYI488UjbeeOMyfPjwsueee5b111+/3H///ZXHZ+E0Rmb33Xdf6dOnT/njH/9YWXbJJZeU1VdfvYwZM6b+dmYJ0Bh5/f3vfy8rrrhi+dOf/lRZdtxxx5Uf/vCHZcKECeW9996rvx1aAjR0ZrW1teWf//xnOeSQQ8qbb75Zxo0bV3r37l0233zz+Zbmnivnr6Hzmj59ejn55JPLl770pfLhhx+WUkqZOXNmeemll0qvXr0U5ougoTObNm1aueSSS8pZZ51VJk2aVFm+9dZblzXXXLMsu+yyZejQoeVnP/tZ/e4Yjc5nqFhkNTU1ad26dd55553Kx5RLKenTp0/OPvvsrLPOOrnxxhtz0003Ve7TsWPHTJ8+PQ8++GA22WSTT32MpZZaKttss00OPPDAdO/ePWeccUa+973vZfjw4XNNz+Kj0p+uoTPr2rVr1lprrfTr16/O8vXWWy9vvfVWPvroozpzg/HJGuMYW3755XPggQdm6NChlWU77LBD3nrrrfTq1Sv9+vXLWWedlauvvrre9++zqKEza9euXXbcccd84QtfyMCBA/Pggw/mH//4R4444oiMHDmyIXftM6kxjrHZH/HceOONK4+ZJN26dcvrr79eeUwWTENn1qFDh+y3337ZddddK8u+8pWv5LHHHsvNN9+cX/ziF/n+97+fm2++uUH277OmMY6xyZMnp3fv3jn22GNzxBFHpF+/fjnkkEPywAMPpKamxvvDhdTQmc2cOTPPPPNMNt9883zhC1/IzJkzkyRf/vKXM3nyZK9lC6kxjrF33303X/rSl+q8V3zkkUfyxz/+MQMGDMgGG2yQW265JYnfxxZEQ2dWU1OTDTbYIEcccUR69OiRzp0757HHHsv//ve/fPOb38zTTz9dWXf2lBOmYJy/hs6rVatW2W233TJkyJDKtYlatGiRnj17pnXr1pkwYUKD7dtnVUNn1rp16+y1117Zc889s9RSSyWZdXHQkSNH5uyzz86NN96YHj165IYbbsgrr7zSYPtJI2iSmp7PhNra2jJ9+vRy0EEHld12261Mnjy51NbWVqZ0eP3118vnP//5OlNxPPDAA+X1119frMcspZSjjjqqzpnm77zzTrnkkkvKG2+8sRh79NnXkJl90pkJd9xxR+nXr1+ZMmVKZdmIESPK9OnTF2NvPvsa+hibV2aPPPJI2X333csrr7xSWfaDH/ygrLjiimXcuHGLuUeffY3xvDj74+qz83vmmWfK0ksvXedM83HjxpV77rmnnvbqs6uxXsfm/ITGtGnTSimzzs7bb7/96qz3v//9b1F3ZYnRGJlNnDix8u9f/epXpXfv3uXZZ58tpZTy1ltvlU022aQcccQR9bRHn21NcYzde++9ZdiwYWX99dcv//73vyvL5/x4NPPXGJndcccd5bbbbqt8P3PmzPLee++V5Zdfvtx3331zrT/7sZlbY+Q1c+bMOr9jDR8+vPTp06fceuut5YEHHiiHH3546dSpk0+7LaDG/h169nPfu+++WznT/Nlnny1vvfVW2W+//cp11123+Dv1GdYUv4+VMuv9/oorrljuvvvuyrKf//zn5bnnnluMvVkyNPYx9tFHH5WLL764jBw5srLs8ccfLzU1NeWOO+5YrH2haSnMWWwPPPBAadWqVTn77LMry2bMmFG5raampjzxxBP1/rhHH310adu2bfnlL39ZNtlkkzJw4EBvqBdQY2Q254v/3//+97LGGmtUvv/85z9fBg8evFjbX5I05jE2ZcqU8tFHH5VS/q/Yu/DCC8sXvvAFZcNCaKzMZm9zdmm+++67l4cffrh8/vOfL1/60pd8xHYBNVZeM2fOrLxOHXfccWXYsGGllFnPlzvuuGM59dRTF/sxlhSNldn48ePL+++/X2fZnnvuWYYPH77Y216SNFRe83uOu++++8oee+xR1l9//fLggw+WGTNmlB133LE89NBDizT+JVFjHWOzM5w+fXpZddVVK3/sra2tLd/73vfKm2++udiPsSRozOfEU045pU6x9OKLL5YuXbqUv/71r4u9/SVJY76/n32S0nvvvVdWXnnlMmDAgLLWWmuV1VZbzQlMC6gx86qtrS0ffvhh6devX3nqqadKKaUMHjy49O3bt/KYfLqm6Klmv6Y9+uijZfPNNy/PP/98vW6fxqUwZ4HM/gV/4sSJdc4Snr38ggsuKC1atCgXXnhhnfs9+eSTZc011yz//e9/G2Rc3/3ud0tNTU3ZYIMNKuWegmiW5pTZ7bffXlZfffUyZcqUMmTIkLLGGmsoXz+mOeU15zE0ZcqUsuOOO5Zvf/vb9bb9z4rmktnsX3See+65sswyy5SWLVuWNdZYo/KcyCzNJa/ZfvCDH5Sdd965lFLKjjvuWHr37i2zj2lumZVSyvvvv18GDRo019yXNI+85nz9+uc//1n23HPPsu6665a11167dOvWTTH0Mc0hszmtueaalWsE7LDDDqVPnz4ym0NT5/XxC3zOftxHH320bLLJJpVij//T1JnNaXZR+Pzzz5eampoycODAyvsOJewszSWvmTNnlnHjxpW11167jBgxouy666513ts7SfD/NJfMPv7786677lp23nlnWVU5hTmfavZB/uyzz5Ytt9yy3HDDDXP9Uj9lypRy+umnlxYtWpSjjz66jBgxorzzzjvluOOOK/369Stjx46t93GNHTu2DBgwoGy66aaVN9PeVM/S3DK77777yqqrrlq22GKLssoqq1TGIq9Zmltepcz6GOCrr75adt5557LeeutVsvIHqVkaOrOF/TnPXn/99dcvW2yxhefEj2mMY2xBM5s9lpNOOqnsu+++Zc899yyrrrqq58WPaW7H2IwZM8r48ePLTjvtVAYMGCCnj2lOr2NzZnvTTTeVli1bls0228wx9jHNLbPx48eXPn36lNtvv73svffeZbXVVlPmzaG55TXnY+68885lp512Ugx9THPKbLaxY8eWTTfdtKy99treK35Mc8tr8uTJZdVVVy2dO3cu/fv39xo2D80tsw8//LDceuutZeeddy5rr722P3B8BijMWSCvvfZa+dznPlfatm1bVlxxxXLLLbfM80y4P/7xj2XFFVcsK664Yll99dXLSiutVB577LF6H8+MGTPKeeedV9Zcc00vHvPRnDL761//Wmpqasrmm28ur/loTnmVUspf/vKXsskmm5RtttnGL6zz0VCZffjhhws9lqlTp5a99967dOvWzTE2Hw15jC1MZrOLhhNOOKHU1NSUTTfdVGbz0VyOsenTp5ef/exnZbvttisbb7yx58T5aG6vY+PGjSvbbLNNWWuttRRD89GcMps4cWLp379/6dChg/f389Gc8poyZUq56667ypAhQ8q6666rGJqP5pRZKaU8/fTTZc8996x80tfxVVdzyuvdd98tSy+9dFl33XW9hn2C5pTZqFGjyp577lmGDRvmNewzQmHOp5o+fXq54IILym677Vb+97//lT322KN07dp1riej2SXAqFGjyr///e9y1113LdBFOD9+lteCvtEaOXJkZd35PREtqW/aGjKzRclr2rRp5Uc/+tGnvtjLq3kdY7fcckulEJJZXQ2V2UEHHbRI81hPnz693HfffY6x+WjIY2xRM7v55psX6JcgmTWPY+zBBx8sJ598srzmo6FfxxbFP//5z7Ljjjt+6i+tMmsemU2bNq1stNFGdT7BMa/M5NU88nryySfLscceW4YNG+Z5cT4aK7OF+cTUnFnMbxo4eTWfvJ588skFKstl1nwyGzNmjI7qM0RhzgJ58MEHy4033lj5fvfdd688Gc3+C/WcVx5eUHOu/8ILLyzS2Ob1RPTx+bGXxCelhshsUfL6+AvMvOYul1fzOsY+ntm83lDLrP4zmzlzZrnssssqP+/Z8/At7M92Xme9yqvhnhPrIzOvY/PmGKsuDfU6Vh8cY/PW3DL729/+Nt8/1Mur+eX1xhtv1Llo68fJrOF/H5vTp5V6n/YYc87/vCDrfxY1p7zmPKbmV7zKrHllNuf7w3mtK6/qozBnLgt64M7+C95f//rXyi+fN910Uxk3btxCP87JJ59cBg0aVP7+979/6v3mfPKZPHnyPLd74IEHlm222aZceOGFS8SViRsjs0XNa877yWsWx1j1aejMPv6m6rLLLitf/epXywcffPCpj/9pY5PX/C3OMbY4mX3aVB4ymz/HWPPQWK9ji/pR5o8fY/P6pJXM5q0pMptXsTDnMnnNX1MdYx/nGGv838cuu+yyctRRR5Wvfe1r5c477/zEx58zn0ceeWSuvGpra8t+++1XBgwYUI444ogyYsSIBdqXalYteY0YMWK+z5Eym7fmmNmSmNdngcKceXr22WfL9773vcpfweb8xWPOf89+MrrpppvKQQcdVPr27btAH2+Z88nm6KOPLsstt1z5+9//XkaPHv2J95vzieecc84p66677lx/qZs+fXoZOXJk+clPflL22Wef0qlTp3LeeeeVV1999VPHVc0aMjN51T/HWPVp6Mxmq62tLSeeeGLZZJNNyiGHHFJ5czevN2lz5nXRRReVX/3qV3OtI6+GzasUmdUXx1h1aci83n777To/+8suu6yceOKJ5dxzzy0TJkyoLP+0ovWf//znPB9LZtWVmbyqK69SZNbQr2NHHXVUWWmllco3vvGNcthhh5Wamppy7rnnzvWevZS5X8dqamrKs88+O9d648ePL1dddVX55je/WVq3bl2OOuqo8sADDyzwmKpRNedVisxKqa7MlsS8qp3CnLlMnz69rLvuuqWmpqbsu+++83wymnOKhmHDhpWamprSoUOH8uijj37itj/+xPGvf/2rrLrqquWRRx4ppZTy0UcflTfffLPccMMNlYtyzX4CmvOJ6NJLLy1du3YtV1999Sc+3qRJk8rFF19cVlhhhfL1r3+9/Otf//q03a9KDZWZvBqGY6z6NGRm8/pldMaMGeWMM84om222Wfn2t789z0Jvzvv96le/Kq1atSp/+tOfPvGx5LX4eZUis4bgGKsuDZnXl7/85bLNNtuU1157rZRSyoknnliWWmqpMnTo0FJTU1O23377OmdmzZnTx39pXXnllcsTTzzxiY8ns+rKTF7VlVcpMquv9x6z/f3vfy+9evWq3Of+++8vNTU15fe//31lnfm9t+/Spcunvo6VUsoNN9xQNtlkk7LTTjst0PrV6LOUVykym61aMlsS8vosUJgzT1/4whfKV7/61bLNNtuUvfbaq0ycOLGUUvcJYfZH+I444ojSpUuX+f7lc7bDDz+8bLLJJuW+++6rLLv99ttLjx49ynvvvVeee+65cswxx5RVV121dO7cuay77rqV6SDm/AX20ksvLZ06dSrXX3/9XGOa05zLb7/99rLJJpuUvfbaa6GeLKtJfWcmr4ZVzcfY7O/nvI/MZlnYzOb8GY4dO7Z88MEHlTO7pk+fXk477bR5Fnoff3PWqVOnyvx9jrFZGiKvUmTWkBxj1aWhjrFHH320dOrUqeyxxx7l0UcfLTvttFOlvHvjjTdKv379ynbbbVf5Q/Dsx/x4Zp07d678EiqzWaolM3nNUi15fXxMc5JZ/WQ2p6uuuqrsvvvupZRSrr322tKxY8dyySWXlFJK+eCDDyp/CJmzRPyk9/YfffRRZZxzeuihh8qwYcPKtttuW/76178u1BirRbXk9fExyaz5ZyavzwaFOfP0ox/9qJxxxhnld7/7XVlvvfXKvvvuW0qZNffT22+/XVnviiuuKDU1NQv0pufZZ58t6667btlxxx3LvffeW0opZeTIkWWzzTYrq666aunatWs56KCDyhVXXFHeeuut0qFDhzp/xSullF/+8pfzfSK6+uqry09+8pPyox/9aJ5nOtxzzz3lc5/7XDnyyCPnuu9nQX1nJq+GVY3H2FVXXVWOOeaY8pWvfKX85z//KaXUnftSZrMsaGZzFnmnnnpq2XrrrUuvXr3KwQcfXO66665Syv8Veptvvnk55JBDyvvvv19nG46x+WuIY0xmDcsxVl0a4hibfYGup556qnTo0KFsu+22ZYcddijvvvtuZZ3XX3+99OvXrwwePLhOoTfbJ/3SKrPmn5m8/k815FWKY2xODfk6NtuvfvWrMnDgwHLttdeWTp06lYsvvrhy21VXXVX22muvyvU5Sinl4osvLssuu+w88/r5z39e9thjj7LaaquVX/7yl2XGjBl1SsDHH3+8DB06tHzta1+rM/7PimrIqxSZzakaMpPXZ4fCnDpmP2GcdNJJ5dvf/nYpZdaTzWabbVZ69uxZunbtWj788MPKeiNHjqz8he2TzH5SePHFF8vaa69ddthhh/Lvf/+7lFLKE088Uc4555zy17/+tXLW1/vvv18GDBhQ7rjjjso2rr766lJTU1NuuOGGubb/gx/8oKywwgpl0KBBZaONNio1NTXl1FNPLa+//nqd9a6//vpSU1NT7rzzzoX90TRbDZGZvBpONR1jc77YH3XUUWXllVcue++9d9lyyy1Lp06dKvOhz/lGQ2YLntlsxx9/fOnatWv5wx/+UH7/+9+XQYMGlbXWWqtypsH06dPL6aefXlZdddVy9tlnV+537rnnlk6dOjnGPqah8ypFZvXNMVZdGuMYK6WU559/viy33HJlqaWWKo899lgp5f9el0aNGlVWX331st5665Xnnnuucp+LLrqodO7cuU7RMJvMqiszeVVXXqXIrJT6zWzO99d33XVXeeqpp0oppbzwwgtlq622Kq1bty5nnXVWZZ1JkyaVXXfdtXzjG9+o5PjAAw+Umpqact111821/WOPPbb06NGjnHrqqeU73/lOqampqfyB5OOP3blz5/K73/2ulPLZ+CNHNeZVisxKqa7MluS8PisU5tQxu3R78MEHyy677FJZPnDgwNK+ffuy3XbbVQ7uhT2QZ2/7hRdeKGuttVbZfvvty/33319nnalTp5b//e9/ZZdddimbbrpp5T4zZ84sf/3rX8vf//73ubZ7//33l5VWWqnO1YgvuOCC0rlz53L44YfP9UR5xBFHlB122KHOBW2qWUNlJq+GUY3H2Omnn15WXHHF8vjjj5fp06eXl19+uay77rrzfRMiswV36623lrXWWqs8/PDDpZRZb5jatWtXBgwYUNZcc81y6623llJmFXpXXXVVZSzTpk0r3/jGN+b6hEApjrGGzKsUmTUEx1h1aYi8brvttsofcI888shywgknlFJmFXqdOnUqu+66a+VigbO3+dprr5UvfelLlce67777ysorrzzPuUBlVl2Zyau68ipFZvWd2ZzrHHvssaVfv37lD3/4Q+XndeaZZ5Y111yzHHjggeWRRx4pt956a9lhhx3KuuuuW/n0Z21tbZk+fXrlU6FzuuOOO0qfPn3Kk08+WVk2aNCg8q9//atyjaM5nXHGGWWttdb6zJwBW215lSKzastsSc/rs0JhvoSa/WQyefLkMnny5LnerDz11FOlX79+5aOPPioHHHBA6d69eznhhBPKwIEDyw477DDPqwN/0uN8/PvnnnuurL322mXIkCGVqSNqa2vLZZddVgYNGlQGDBhQuWDD7CfH+T3x/etf/yp9+vQpL7/8cp3lV1xxRVlmmWXKSSedVGc7//jHP8rmm28+18eum7vGyExe9eezcoz997//LZtsskm59tprK8vefffdsuaaa5avfe1r5Qtf+EK5+uqry6RJkyq3y2zBvfDCC+UHP/hBKaWUv/3tb2W55ZYrv/71r8vDDz9cevfuXVZfffW5zliYndecH+ebk2NslobIqxSZLQ7HmLzm5Z133il77rlnWX311cvee+9d2rZtW+cXzKeffrp07Nix7L777mXkyJGllHm/Xo0ePbo8/vjj83wMmc1SLZnJa5ZqyasUmc1W369jp5xySunWrVu59957y0cffVTntvPOO69sueWWpVWrVmXAgAFll112qby3n3PKxHm59tpry4YbbljGjh1bSpn1R+LevXuXwYMHl+7du5fDDz+8znQ8//3vf8u2225bnn/++YUaf1P7rORVisxmq5bMlpS8PusU5kug2U9Czz77bBk2bFhZZ511ytChQysXMihl1sdNhgwZUrbaaquy0korleeee67MnDmzXHjhhWXQoEHlf//73wI/TimznjB++tOfluOPP77ykb+XXnqprLPOOmWHHXaoXKTwnnvuKRdffHHlzdSCvHjcc889ZamllqrMTzXnk+TFF19campqykMPPVTnPjvssEO55pprPnXbzUVjZCav+lPNx9i8fkG6//77K79AzZgxo3zuc58rG264YTnuuOPKYYcdVmpqaspVV11V5z4y+3Szf9YTJkwo06ZNK0OHDq38QlnKrIvarL766uVrX/tanfU/jWNslvrOqxSZLQ7HmLw+ydNPP1369etXWrZsWX75y1+WUma93sz+xfQ///lP6dSpU9lzzz3nKuRK+fTsZDZLtWQmr1mqJa9SZDZbfWY2ZsyYsskmm5Qrr7yylFLKm2++WR544IFyxBFHlF/96leV9Z566qny3nvvVTJakPf2f/rTn0pNTU259NJLy5133lnWWWedsuWWW5brr7++XHLJJWWNNdYoRx55ZJ377rvvvuXSSy9d4PE3tWrNqxSZVVtmS2peSwKF+RJm9gH57LPPlmWXXbZ897vfLT/72c/KwQcfXDbeeOM60zfsueeepVu3bnXOJJgyZUqdCxwsiB/84AelT58+Zddddy377rtvqampKX/84x9LKbMKvXXXXbcMHTq0chbsbB8/s+uT3qgNGzasrLbaauWtt94qpfzfBW1KKWXbbbct3/zmN0sppfKm8Omnn17o/WgqjZ2ZvBbPZ+UYm/2x3I+7/PLLyze+8Y06Y/zqV79a1l9//TJ16tTKGwiZLZx33nmn9O7du3JRmffee6986UtfKtddd918jyXHWNPlVYrMFkZzyExeC64x85r9WC+//HLZYYcdyvbbb1/WW2+9cvvtt1dun/2zffrpp0tNTU059thjP3V78yKzWZpTZvKqrrzm3N68yGyW+node/vtt8uAAQPKmWeeWW688cby5S9/uQwcOLBsuOGGpX///uWHP/xhnbGVMvcnTz/pvf3s6xPtuOOOpX///nXO9j/rrLPK0ksvXd58883KsjfeeKO89957C7UPTaVa8/r47TJr/pktqXktKRTmS6B33nmnbLXVVpWrk5cy66IIq6++ernwwgvrrDtq1KjKvxf0zKs517v++utLjx49Kh83ueWWW0pNTU2dswleeOGFssIKK5QjjjhigbZ56623lt/+9rfl8ssvL+PHjy+lzDoD9vOf/3zZZpttKm/SZt9n2LBh5dBDD62zvXm9ODVnDZmZvOpftR9jRx55ZNl+++3rTLMy2+TJkyu/ANXW1pYZM2aUb3/72+WAAw6os57MFs748ePL3nvvXbbeeuvyi1/8ogwePLhsscUWlZ/jJ705c4zN0ph5lSKzhdXUmclr4TR0Xh//eUyfPr3MnDmzPProo2WfffYpa6+9dqXQm3P9119/fb6fZpNZdWUmr+rK6+OPLbNZ6iuz+f0svvOd75R11123tGrVqhx99NHlH//4R6mtrS177713Oeqooz5xm/N7bz/n8okTJ5Y//vGPZeeddy6l/N8nA6655pqy9dZb1ynvqu1ChNWW18cfW2azNOfMlvS8lgQK8yXQk08+WfbYY4868xqXUsqBBx5YKdRm/+V/Ycw5x/HsbZ533nmVIu26664rHTt2rHwMcNy4cZWrpr/++uvznSt0Tscee2zp3bt32WKLLUpNTU3Zf///1969B+ZY/38cf98bY5iNYuaQY5htDnNIDqH6Ss6EomIaZhWSHJpRcpZDDjnGV1TU1ylJyTfnH5VTJErDmDGHHDYsdnj9/tj3vtz3Nmx2n97b6/FPdh+v+372ue/r/tzXfV29jfNWrVqFJk2aICAgAEeOHMHFixcRFxcHf39/jB8/PtuPx5XYoxl72Y+2MWb55vzWW2+hUKFCVvu2zOxyZufOnUO9evUwbdq0bD8eV2KPZnFxcdm6/IYNG9C1a1fUqFEDbdu2Ne7vfh8oOcZsO8bYzH44xnSx1xgDrJ/v/fv3Y8+ePTh06JBx2s6dO9G9e3fUqlXLOChrhw4dMHnyZOMy99sFHJvpasZeunoBbGbrZpa9vv32WyxfvhyffPKJMbF2/Phx/Pbbb1bXad68OUaOHHnP23zQur3lfS5fvhyPPPKIsa/oCxcuoFatWujfv3+2H4sr0dTLcvkANtPQjL3yBk6Y5xGWAzomJgZr1641/jYP5t69e1ut8GTHDz/8AJPJhDFjxlidPnHiRHTs2BGrVq2Cl5eX8VNoIG3XDuHh4bh27Zpx2v0mYd9//334+voaR1///vvv4e3tjUuXLhmX2b17N9q2bYuCBQuiWrVqqFSpElq3bv1Qj8nZ7NmMvWwvN4yxYcOGwcfHB7///jsA4OzZszhz5kymR/6+du0a9u3bh5o1a6JDhw4P9ZiczZ7NhgwZglKlSuHEiRPZWo7ExERcuXLlvvs1NOMYW2v8bYsxxma2xzGmi73HWPr7GDlyJAICAlCyZEk0atTIakuunTt3omfPnihSpAhq166NSpUqZelDMputNf7W0Iy91hp/a+gFsJk9mpkNGTIEJUuWRJ06dVCoUCHUq1cPK1euNNbdr127hiNHjuD5559HUFBQlo4dlZV1+6tXr+Kpp55CoUKF8PTTT6NatWro2LGjcb6mrV619wLYTFuzvNYrr+GEeS5nfpG51wqQ5eTZ66+/jl69ehl/v//++5g6dWqW7icxMRELFy5E/vz5MXr0aOP0H374AXXr1kXBggUxffp04/SEhAS0adMGAwcOzNILxK5du9C4cWNjKwgg7RvIp556ClOmTMGkSZOsjjK8fv16rFq1KtMXXFfniGbsZTu5ZYx99913yJcvn/Ht/ebNm9G4cWOUK1cOHh4e6NGjh3Egp9u3b+Orr75C/fr10b17d+M22Oyu8+fPo27duqhVq1a2JvQsn8PU1NR7tuMYu8tWY4zNbIdjDBnuy5U5aoxZGjt2LEqWLIlt27bh/PnzGDBgAEwmk7GPYwD4888/sWrVKkyZMsX40Hq/D69sdpeGZux1l4ZeAJtZskUzy/efzz//HL6+vjh48CBu3LiBa9euoX379mjSpAnWrVsHAPjss8/QtGlTPPfcc8Zy3W9DmKys2+/fvx9A2i9GJ0yYgNGjR2PRokUZngdXlxt6AWxmSUOzvNQrr+KEeS5meZThTp06oWXLlmjZsiV27NhhdUAE8wvJu+++iz59+hj/LlCggDHAs3I/ALB06VKYTCbMmDHDOG3AgAEoW7YsJk6ciKNHj2LPnj1o1aoVateubayUPWhC79y5c/j3v/+Ny5cvG/fp7++PKlWq4KWXXkK1atXQoEED7Nq164HL6Moc0Yy9bCc3jbHo6GiEhobimWeeQa9eveDr64vJkydj48aN2Lp1K8qXL4+2bdsaW6ufPn0amzdvznQZXZmjmgFpP7erU6cOgoKCsr0V7IN2NcExZvteAJvZAscYjMtr4OgxBgCHDx9Gs2bNjPeQ77//Hl5eXujZsyeKFSuGN954I9PrPWiigc10NWMvXb0ANrNVs08//dTYZaL5NsaOHYvmzZsjKSnJWHc3b5X63HPPGdfdsmWLsXwP2vo1K+v2rVu3NvZBf6/nwdXlll4Am2lrlld65WWcMM/ljh8/jqJFi6J3794YNWoUnnvuOZQqVQqjRo1CdHQ0gLsvIgMGDEB4eDgmTZqU5ZUzyw+f06ZNwzvvvANPT88Mu47o27cv6tevD5PJhIYNG+Jf//pXlr9pNd+H5bePkyZNwtNPP40LFy4ASDsQYenSpa22vNXKns3Yy/Zy0xg7ffo0QkND8dhjj2HSpElWl/n9999hMpms9qNupu3N3t7NLGV1Qs+y88KFC9GlS5d7HiWdY8x+vQA2swWOMV0cPcaSk5Px0Ucf4cqVK9i2bRv8/PywcOFC3L59G127doXJZMJLL72UrdtkM13N2EtXL8vlY7OcNVu1ahXKlCmDYcOGITY21jh92LBhqFevnvF3YmIigLTd23h6embYPeKD1r2zs27/1VdfPejpcHnae1kuH5vpaJbXeuVVnDDPpcwDeMSIEWjTpo3VeR988AECAgIwZMgQnD171jh90KBBMJlM8PLywt69e7N1f6NHj0aJEiWwZs0afPbZZxg0aBDc3NwQGRlpXOb8+fPYuXMnoqOjs/VNa2bOnTtnHKTBPBn4r3/9C++///5D3Z4rcGQz9sq53DrGoqOjMWvWLBw/ftzqsV69ehXly5fH559/nq3bcyX2bnavFasHTehZTuQtWLAABQsWxJo1a7L8uACOMbPsjjE2sy2OMV2cOcbMpw8cOBBhYWHGcxsREYFWrVqha9euOf4yls3SaGnGXmm09ALYzCy7zcaPH4+6deti6NChiImJAZB2cFZ3d3dMnDjR6rI//vgjAgICjMs9DK7b6+oFsJm2Zrm5V16XTyhXMplMIiKSnJwst27dkjt37oi7u7u4u7vLqFGjpGDBgrJo0SKpUqWK9O/fX0REHn/8calQoYKsX79eAgMDs3xfN27ckG3btklERIR06tRJRETat28vlSpVkrfeeksKFy4sI0aMkFKlSkmpUqWM66Wmpkq+fPf/XxCAmEwmuXDhghQvXlzy588vIiJ+fn7GZdzd3eXUqVNy+fJlefzxx7O83K7GUc3YyzZy2xiLi4sTHx8fKV++vPTt21cKFixodf65c+fE29vb6va1sWez1NRUcXNzExGRI0eOSHJysvj6+oqfn5+ULFlSNm3aJC1btpSOHTvKunXrpFKlShmut2DBAhk2bJh8/vnnRuf0OMZsN8bYzPY4xnRx5BjbuHGjnDhxQry9vSUgIEDq1q0rKSkpcuTIESlSpIgUKFBAbt++LX/++ad06dJFQkNDM9zGvbCZrmbspauXCJvZqllKSoq4u7tLRESEAJDVq1eLiMiAAQMkODhYPvzwQ3n33Xflxo0b0rNnTzGZTDJ9+nQpWbKklC5dOsuPgev2unqJsJm2ZnmpV57n4Al6crApU6bAz8/P2NeceSsAIO2bOl9fX2M/UVFRUVY/W8mq69evo0yZMhm2Jrhy5Qqee+45mEwmREREZPt2zd8+fvnll3jmmWeM/VBZnnfz5k2cPn0aQUFB6NatW7bvwxXZuxl72VZuGmPmn79ZunnzJs6cOYOAgAD06NEj2/fhimzdzHLr1VGjRqFSpUqoVKkSvLy8sGzZMly5cgUAcPHiRdSpUwe1a9fGn3/+aXUb8+bNg7e3N1atWvXA++EYy/kYYzP74hjTxd7vY0OHDkX58uXRokULtG3bFiVKlMDXX38NAFi8eDHKlSuHVq1aoWHDhggKCjK2VM3KAavZTFcz9tLVy/IybGabZpZb9Y8bNw516tTB0KFDceHCBaSmpuKTTz5BsWLFULp0aVSpUgUNGzY0doOTnd16cN1eRy+AzbQ1y6u98ipOmOcS9xvcQUFBaNKkifG3eX9NCQkJKFmyJFasWJHj+xk6dCiefPJJHDx40Or0wYMHo3HjxmjWrFmWVsrMzJddu3YtihQpgunTpxvLbn5BS0xMxPvvv4/AwEB06dLlgcvoahzRjL1sJ6+OsZEjR+Lxxx9Hp06dMlzX1TmqmdmYMWPg5+eHTZs2ITU1FT169ICPjw+mTZtmHCz14sWLKFOmDHr27Glc74svvoCnp2eWJvI4xtLYohfAZjnFMZaGve59P59//jn8/PywZ88eAMDcuXNhMpmMnyfHxcVh8eLF6NatG958880sH3sDYDNtzdhLVy+Azey17pF+Qq927doYOnQozp8/DwCIjY3F9u3bsXv37mztYpHr9rp6AWymrVle6EXWOGGeC5gH+cmTJzF79my89dZb+Pbbb3Hz5k0AwLZt21CxYkW0aNHC6npxcXHw9/fHpk2bsnU/ABATE4M//vjD+HvXrl1o3LgxQkJCjAm9+Ph4tGvXDl988YVxuexsybBmzRoUKVIEH3/8sfH42rdvj99++8247MGDB43z0y+jK3NEM/aynbw8xvbu3Ytp06ZluoyuzFHNzH7//Xc8++yz+OabbwAA69atQ7FixdCuXTuYTCZMmzbN2ILi6tWrxgfVlJQUTJ8+Hd9///09b5tjzPa9ADbLKY4x6+fB1Tmi1+rVq41/mz94RkZGol+/fgDuPr8LFy4EkPYeltk+Q7PzoZXNdDRjL129ADYD7LPukf6+gbsTesOGDbPagt8sO19ucN1eRy+AzQBdzfJCL8qIE+bKmQff4cOHUa5cOTRv3hz169eHyWTC7NmzAaR9y7Vx40ZUqVIFgYGB2LhxI7Zt24bIyEiUKlUq0xeN9Cwn4SIjI1GjRg34+PggICAAU6ZMwe3bt7FhwwY0a9YMZcuWxTPPPIPAwEDUrFnTWCnLys80078QzZkzB0DagRTKlCmDXr163fN2tLwQOaIZe9kOx1jG58LVOaJZ+uciJiYGS5YswZ07d7Bjxw6ULl3auK8uXbqgWLFiGDNmDBISEozrPKgbe9l2jLGZ7XCMZb6MrsoRvb744gsUK1YMEyZMsDr9vffeQ0REBL7++msUKVIE8+bNA5D23H/++eeYMGECrl+/blye72Npcksz9tLVy3w+m9lu3SMrywCkHaSwXr16CAsLw6VLl7J8G+ylqxfAZtqa5ZVelDlOmOcC0dHRqFy5MoYPH278FGTWrFkoXry4cXTh5ORkREVFoU2bNihfvjwqVqyIwMBA7N+/P1v3NWnSJDzyyCP4z3/+g19++QWvv/46GjRogMGDB+POnTv4448/sHz5coSHh2PMmDHGh9WsftMKpL0QFS1aNMMLUf/+/XPNT1kc1Yy9bINjTB97NrNc8dm+fbsxQWfeJUTfvn3x2muv4c6dO0hNTcXrr7+OmjVronHjxg/1/LJXzscYm9kex5gu9h5jJ0+eRGRkJKpXr46xY8cap8+dOxc+Pj7w9PQ0JvKAtGNztGzZEiNGjHiox8Nmupqxl65eAJvZev3+Xizf74YPH46QkBC+j91DbuoFsJm2ZnmhF2XECXPlkpOTMWnSJHTu3Nk46FVKSgr++OMPVKxYEX/99VeG6xw7dgynTp3K9jdr8fHxaN68ubGvJrMpU6YgICDA6meClrK6Dy8g7YOxyWTK8EIUFhaWa16IHNGMvWyHY0wfezazfI4iIiJQqVIlLF682Ji4u3PnDpo3b46BAwcal+vUqRMOHTpkXDc7zzN75XyMsZntcYzpYu8xZn4Punz5MsaNGwd/f3+r97HQ0FDkz58fGzZswLFjx3Ds2DE899xzCA4Oztb7lxmb6WrGXrp6AWxmy/ex+51mZjmhx/exzOWmXgCbaWuWF3pR5jhhngusX78ew4cPtzotMTERZcqUwbZt22z2M5CkpCQ8+eSTeP/9942/zZ555hm0bds2W7eX/sUlNTUV+/btMyYFo6OjUa5cuVz5QuSIZuxlOxxj+ti72fjx4/Hoo49i165duHjxotV5o0ePhoeHB1555RUEBwejRo0aWdptDnvZd4yxmW1xjOlir16Wz9OyZcsQFhaGRx55BF5eXpg0aZJxXufOnVG2bFl4eXnhiSeewFNPPZWlgw+yma5m7KWrV/rbN//NZg/fzPI65v00Z3Zeetk9SKTl3+zlur0ANtPWLC/3oow4YZ5L3bp1CxUqVMD27duN0/773/8iOjo6S9fP7MUmNTUVHTp0wBNPPIHbt29bXS4yMhIdO3bM8vJZrrilpqYat2d+ITt//jwKFSqUp37ikpNm7OV4HGP65LSZ2fXr1/H0009j7ty5VqdbroiNGzcOL774IsLCwrL0gZW9MrJVL4DNHIVjTBdbjrGIiAg8+uij+OSTTzB//nw8//zzqFy5MsaNG2dcZs+ePdi8eTMOHjxovLfd7wMsm2Xkys3YKyNX7gWwWWZs1WzSpEl46qmn0K1bN8yfP984PbP3KcvndsWKFVYHD7TEXhm5cq/012ezNK7cjL0oPU6Y5yLmQZuUlISEhARUr14dBw4cAJC2v6aiRYsiNjb2gbdjOZG3d+9eREVFGfuYOnv2LHx9fdGpUydcuXIFiYmJSEpKQpMmTRAWFpat5QSAAQMGoH379mjdujUOHz5snP7rr79iypQpuf4gCbZoxl6OwzGmT06bNW3aFLNmzbI6LSYmBl5eXvjyyy+t7gNI22rixo0bAGBM4pnv/0HLCLCXLcYYmzkWx5gutnofsxQbG4s6dergs88+M047ceIE3nnnHZQrVw5Tp07N9Hr3e67Z7C4NzdjrLg29LJcTYDNbfx6bPn06ihcvjpEjR6Jdu3aoXr063nnnHeP89JNyZgsWLIDJZML3339/z2UE2EtDr/SXZTPXb8ZelBlOmOcCmQ3YmzdvomLFiti7dy/ee+89FC5cGL/88ku2bnfYsGHw8/ODr68v2rdvj2+//RYAsHv3bvj5+aFq1apo2LAhnnjiCdSoUcP44Hq/b9ssX7xefvllVK9eHYMGDUKLFi1QoEABbNy48Z6PKTexRzP2sh+OMX1s0Sw5ORnr1q3DP//8Y3X67du30bx5c4SHh+P69evGZQFg8+bNiIyMNLZIeBD2SmOrMcZmjsMxpou93scA4OrVqyhbtiw+/PBDq9Ojo6NRo0YN+Pj4IDIyMsu3x2ZptDRjrzRaegFsZmbLdQ+znTt3YsKECcaE3KVLlzB9+nRUqFABQ4YMsbqO5fr8/Pnz4e3tnenxitgrjZZe6e+Dzay5YjP2onvhhLly5sEdGxuLVatWGR86ExMTUbNmTTRu3BgeHh7Yt2/fA2/L8gVl9+7dqFGjBnbv3o2lS5fi5ZdfRkBAANavXw8ASEhIwIQJEzBq1ChMmjTJ2LIrsy28bt26hQsXLliddvLkSQwdOtT46c3NmzcRHh6OggULGpOGuZWtmrGXY3CM6WPLZmbjx4+3Osjg8OHD4e/vj/nz5xu3f+vWLbRr1w7t2rW775ca7GXNHr0ANrMnjjFd7DXGgLT3tVu3bqFbt27o3bu38Wsps969e6NBgwYICQlhs2xw9WbsZc3VewFslp4tmr322mtITEw0/t66dStKly6NUqVKYe/evcbply9fxowZM1CxYkUMHTo0w+3Mnz8fRYsWxapVq4zT2Muaq/cC2Cw9V2/GXpQVnDBXJP1KkHnrqujoaBQrVgyjR48GkPbN18WLF1GoUCEUKlTI6mck95L+27Lt27djwIABxt/79u1Dr169UKNGjSx9k2pp0KBBVgcrnDlzJkwmE6pWrYoTJ04YpycmJiI8PByFCxc2vsXTzl7N2Ms+OMb0sWczSx9//DFMJhMiIiKM00JCQhAYGIhGjRqhZ8+eqF+/PgIDAx/4SwD2ustevQA2sxWOMV0cOcYsrV69GkWLFsXIkSNx6tQpAMCNGzfwwgsvYPHixcZysVlGGpux110aegFsZskWzfbv34+XXnrJatdgR48exdChQ1G0aFG8//77Vpe/fPkyZs6ciYIFC2L27NnG6TNmzEDx4sUzTL6y110aegFsZklDs7zci7KOE+bK7Ny5E6+++qrxd1xcHHx8fDI9Su+SJUvw66+/Zuv2J0+ejC5duqBDhw4ICQmxOm///v0ICQlBUFAQVqxYkeXb3LNnD7p27YpLly4BSPvmLjQ0FB4eHti5cyeAu5OJiYmJeP3112EymXDo0KFsLbursmcz9rI9jjF9bN3s559/xu+//w4AePvtt7F+/XokJSVh6dKlyJ8/P4YNG2ZcdtmyZRg0aBB69OiB0aNH3/eXAGbsZfsxxmb2xTGmi73fx+5l6dKl8PX1RYsWLdC+fXs0aNAAQUFBxpe999v6lc10NWMvXb0ANrN1M8v3oIULFyI+Ph7A3S1UK1eunGHf8hcvXsSXX35p9Lp48SL8/f3x+eefZ7h99tLVC2Azbc3yei/KGk6YK5KSkoKFCxfCz88PoaGhANL2aWe5VYH5ctm5TbPx48fjkUcewauvvoqGDRvCZDJl2NL1wIED6NChA15++eUs30dMTAzKlCmDGTNmGKedOXMGnTp1QvHixY1vFs2P4datW1i6dGmWb9+V2boZe9kXx5g+tm528uRJBAQEoF+/fujdu7fVilFSUhKWLFmSYUIvvXv9EsCMvWw7xtjMvjjGdLHHGHsQy9vdtm0bJk2ahO7du2PIkCHGlmFsdm8am7GXrl4Am9nr89iRI0cQHByMoKAg44DUf/31F4YPH45q1aph2rRpmd6GeTLw6tWrmZ7PXrp6AWymrVle7kVZxwlzZeLj47FkyRJUrVoVvXv3Nk5/0ErSgxw7dgwffvghtm7dCgCIiopCeHg4ihYtijVr1lhd9s8//8z2SuAnn3yCihUrYsuWLcZpZ8+eRYcOHVC8eHH89ttvADK+iOaGAyvYoxl72Q/HmD62brZy5UqUKlUKHh4exhca5pWlO3fuYMmSJfDw8MDIkSMfepnZy7ZjjM3si2NMF3u9j93P/bZsvd+vASyxma5m7KWrF8Bmtm721VdfITQ0FOvXr0fDhg0RHBxsNaE3YsQI1KhRI8OuI7KKvXT1AthMW7O83IuyhhPmChw/ftzq7/j4eCxatCjDi1FWV5bS27JlC0wmEx599FH8+OOPxumnTp3CG2+8AW9vb6xduzbD9bLzQnH58mW88MIL6Nq1Kw4ePGicHhMTg06dOuGRRx7BgQMHHmr5XZE9m7GX7XGM6WOPZubne/v27ahevTqqV6+O8PDwDD+9u3PnDv7973/DZDJh/vz5D7X87GWbMcZm9sMxpos9ez3otPQe9sMxm+lqxl66egFsltNm6b+0eO+99/DEE0/g6NGj+L//+z/UqlULdevWtZrQCw8PR/fu3e/7hce9sJeuXgCbaWuW13pR9nHC3MWdOHECVatWxdtvv211+vXr1zFz5kwUK1YMb731Vo7u49q1axgzZgzy58+Pjz/+2Oq8U6dOYeDAgTCZTNi2bVuO7ufo0aN48skn0atXL/z888/G6WfPnkXjxo0RHh6eo9t3FfZuxl62xTGmj62bpf9wevv2bSQnJ2P58uUIDg5GaGhohoPSpKamYsOGDQ/9JQrAXjkZY2xmXxxjuth7jB06dAi7du1CdHS0cSCve7H8wHrlypVs3SfAZtqasZeuXgCbPWwzy+f977//Nv5dr149tGnTBgCwe/du1K5dG/Xq1TMm9GJiYh54QNb7YS9dvQA209Ysr/Sih8MJcxcWFRWF2NhYREZGIigoCBEREVbnx8XFoXLlyjCZTAgLC8vRfV27dg3vvvsu3NzcsHLlygzLMX369Bx9aDU7dOgQnn76aTRr1szqfv75558c37YrcFQz9rINjjF9bN3M8gPrhg0bsHr1amzfvt04bdGiRQgODkZYWJixFWyHDh2wadMm4zI56cZe2R9jbGZfHGO62KOX5QfOiIgIVKlSBVWrVkW5cuXw5ptvGgdsTc/yenPnzsXAgQONg3RlB5vpasZeunoBbJaT9fvx48ejdevW+OabbwCk7XKxatWqmDlzJoC0X1DVr18f5cqVQ2JionG9h518BdhLWy+AzbQ1y+296OFxwtxFpN/66uDBgyhbtizi4+MRFxeHsWPHwt/f3+rFKD4+Hr169cKCBQtw6tSpHC9DQkIChg8fnumEnpktJvSio6MxbNgwFChQAG+++SbmzZtnnJfTNydHcnYz9soeZ/cC2Cy77N3M8rl4++23UbJkSZQqVQqBgYEYNGiQcd4nn3yCBg0aoEGDBqhfvz7KlCljHGTLFtgr62OMzWyLY4y9LMXGxlr9PX36dPj6+hq/furXrx+KFSuG3bt3Z7iu5fO4YMECFChQAP/5z3+y+xANbKarGXvp6gWw2cOs3ycnJ6Nr164wmUwoUqQIIiIicODAAURERKBHjx7466+/kJKSgo0bN+K1116z6T7t2UtXL4DNtDXLLb3Itjhh7gImTZqEPn36WP0Eb8uWLQgMDDT+Nr8YVatWDWFhYTh48CCGDh2KJ598EhcvXrTZsiQkJGDEiBHInz8/lixZYrPbzczPP/+Mt956C88++yzGjx+v6hs8V2nGXlnjKr0ANssqRzY7fvw4GjdujEOHDuHo0aOYMWMGHn/8ceMo7wDw9ddfY8KECRgyZIjxpYYtvtywxF5Zx2Y5xzHGXpbq1KmD9u3bIzU1FcnJyUhKSkLnzp0xdepUAMC6devg7e1tfIC8ffs2bt68CcD6g+T8+fNRtGhR42CuOcVm9+aKzdjr3lyxF8Bm2bVlyxb07NkTc+fORfPmzREWFoZu3bqhQoUKxm4XLd+7bD0Jy17Z4+xeAJtll7Obae5FtscJcxewYsUKmEwmvP3228bPStasWYN69epZXe7ChQtYsGABSpcujcceewwVKlR44EEI+vTpg7i4uGwtT0JCAsLDw9GkSZPsPZCHYP7G8vr163a/L1uyVzP2sg+OMTa7l8WLF+P5559HSEiIscJ17do1zJs3D5UrV0afPn0yvZ49VqgB9soKNrMNjjH2MpswYQKqVatm/G1+bho3boxffvkFu3btQpEiRYwDsN6+fRuzZs3Czp07rW5n/vz58Pb2xqpVq3L8eC2xWUau3Iy9MnLlXgCbPcj06dMxbdo0AGnPVe/evfHaa6/hzp07+PTTT9GnTx+YTCaYTKYMx+OwB/a6P1frZV4OgM3uxdWaae1FtscJcyeKiooyvh1bt24dPDw8jAMjrFixwnghSv8zmKtXr+LAgQO4cOHCfW//woUL6NChw0P9rPnmzZs5PuBFVmj7eYs9m7GX7XGMsdn9JCQkYOjQoShXrlyGLy+uXbuG+fPno1q1aujSpUtOHlK2sNf9sVnOcYyxV3qzZ89G7dq1cfXqVXzwwQcYOXIkACAkJATlypVDoUKFsGzZMuPyly5dQvPmza0OYm3e6tXWE3kAm2XGlZuxV0au3Atgs/u5c+cOxo0bB3d3d7z00kvYvHkzkpOTERwcjClTphiXGTx4MFq2bGm3L3stsde9uWIvgM3uxxWbaetF9sMJcyeZNWsW/P39jaP7Amnf1nl4eGD06NH47LPP8NRTT+Gnn37Cnj17EBUVhT/++APffffdQx0RffHixYiOjrblQ8hzHNmMvXKOY0wfezdLv1IHAGfOnMGYMWNQtGhRREZGWp13/fp1TJs2Dd26dcv0unmdI8YYm9kWx5gujnof++GHH9CiRQvUqlULBQoUMPY3un//fjRt2hQBAQFITU1Famoq/v77b7Rq1QqNGjWy+tA6duxYm+0iQjM204W99HH0+r3ZkSNH0KlTJzRo0AC9e/fGZ599hi5dumD//v3GZcyTbI6ahNWAvfRhM6K7OGHuRMePHwcA/P3338Y3eKtWrYKHhweKFi2K8uXLo3z58nj00UdRpUoVlClTBr6+vjh9+nS27ic+Ph4lSpRAcHAwYmJi7ntZy2/Tvv/+e6sXKHJMM/ayHY4xfezVzHIy7tChQ9i5c6fxgTUhIQHvvfceqlevjvfee8/qejdu3DCacUIvI3uOMTazD44xXezVa9y4ccZtA0CzZs1QoEABtGvXDmfPngWQtluI5cuXo1atWvD19UWjRo1Qv359BAcHG7+ssuXBWXMLNtOFvfRx1Pp9epcuXTJ2R+Hh4YFHHnkEY8eOtboMt0zNiL30YTOiNJwwdwLLgxT89NNPKFu2LP773/8ap2/YsAFFihRB165dcfr0aZw/fx6XL1/G+fPnc7SFV0BAAOrXr48zZ85kej3LF5+PP/4YJUuWxJ49e7L78HIlezZjL9vjGNPHns0sn/eIiAhUqVIFVatWRdmyZfHGG2/g9OnTuHjxIt577z34+/tjzJgx970Nsv8YYzPb4xjTxZ69fv31V7Rs2dKYiEtMTESrVq0wcuRING3aFD179sTRo0cBpE3WnT59Gh9++CEmT56MTz/91Niyy9YHZdWOzXRhL33sve6RHSNHjoSnpyeaN29u09vNTdhLHzYjssYJcxcQHByMypUrY9u2bcaL0dq1a5E/f34MHz48WytLlhN5mzdvxtq1a/H1118DAGJiYu45oZf+6Os+Pj746quvcvKwcjVbNWMvx+AY08dWzSyf9+nTp8PX1xfbtm0DAPTr1w8+Pj7YtWsXAODcuXMYM2YMihUrhsWLF9v4EeVuthxjbOYYHGO62KrXnDlzEBsba/y9Zs0aqy3C5s2bhyeffBK9evUyJvQyw59DPxib6cJe+thy3SOrLN/zfv75Z6MTv/R9MPbSh80or+OEuRNZTrw1bdoUjz32GLZu3Wp1gAWTyYR33303Sy8QlpcZMWIEypQpgzp16qBgwYLo1asXYmJijK1gGzRokOmuI+x5QJncwJbN2Mv+OMb0sVWzEydOGP9OTk5GSkoKXnjhBUydOtW4HW9vb8ybNw8AjCO/x8bGYvHixfygmkW2HGNs5hgcY7rYcoydPHkSpUuXRr9+/XD48GFcvHgRnp6eeOWVV3Dw4EHjcgsWLMCTTz6JkJAQ/PHHHwD4QTU72EwX9tLH1uv32ZX+Nvl+dn/spQ+bEaXhhLkDmQf+mTNncPz4cautD4DMX4w2bNhw360PMjN58mT4+fnh559/BpB2ZHaTyYTOnTsjJiYGMTExqFmzJipUqGB1BOOPP/4YXl5ePKCMBUc0Yy/b4RjTxx7N+vfvj5YtW1rtH/7WrVto0qQJfvnlF+zatQtFihTB/PnzAaTtQ3TmzJnYsWOH1e1w5Swje40xNrMfjjFd7P0+duDAAdSrVw+hoaG4fv06duzYgYoVKyIkJCTDhF6TJk3Qvn37HO+TNLdjM13YSx9Hrd+TbbCXPmxGlDlOmDuI+UVo3bp1ePzxx1G1alV4eXlh6tSp+Ouvv4zLNW3aFJUqVcIPP/zwUB8kY2Nj0atXL6xcuRIAsHr1ahQrVgyjRo2Ct7c3OnfujFOnTuHUqVN45ZVXjPvYt28fAgICuIsIC45oxl62wzGmj72a/fe//0XlypXRvXt37Nu3zzi9V69eKFeuHAoVKoRly5YZp1+6dAnNmzfHnDlzbPjoch97jjE2sw+OMV0c9T524MAB1K5dG6+99hquXLmCXbt2oVy5chkm9KZPn46wsDAejPU+2EwX9tLHUc3INthLHzYjujdOmDvQd999B29vb3z00UdISEjA2LFjUbRoUQwbNgx//vmncbmgoCAEBgbi5s2b2b6PxMRErFmzBlevXsXevXtRoUIFzJw5EwAwbdo0mEwmtGjRwmqrVyBty7Bjx47l7AHmQvZuxl62xTGmj62bmQ+wtWfPHlSuXBmvvvqqcWDVw4cPo3HjxggICEBqaipSU1Px999/o1WrVmjUqBFX/rLAHmOMzeyLY0wXR7yPAfef0Pv111+Ny5k/SHNC797YTBf20sdRzcg22EsfNiPKHCfMHeTy5cvo1KkTxo4dCyDt5y5VqlRBw4YN4eXlhUGDBlm9GEVHRz/0fZk/zE6cOBFt2rTBtWvXAKTtNuKVV15Bq1atrFbKuIKWOUc1Yy/b4BjTx9bNLJ/nI0eOYPDgwcaR3H/77TcAwIoVKxAUFARfX180atQI9evXR3BwsNGUE3r3Zo8xxmb2xTGmiyPfx4DMJ/QqVKiADh064Pjx48bluG/le2MzXdhLH0c3o5xhL33YjOjeOGHuIPHx8VixYgVOnz6NS5cuISAgAKGhoQCAyMhI+Pj44I033rB6MXpY5pWu3r17o0mTJrh+/ToSExPRtm1bYzcSACfxHsRRzdjLNjjG9LFXsyFDhuCxxx7DO++8g1deeQUeHh7o1KmTsZ+92NhYTJ48GZMnT8ann35qTODZ40jvuYk9xxib2QfHmC6OfB8zM0/ohYaG4urVq9iyZQs6derE968sYjNd2EsfZzSjh8de+rAZ0b1xwtzGzBNpmW0pcPHiRQBpu21o0aIFLl++DACYMWMGKlasiKCgoAy7cciJPXv2IH/+/AgMDMTjjz+OoKAgfljNhKs0Y6+scZVeAJtllT2bTZw4EVFRUcbfP/30E0qUKGF1cMGtW7eiRIkSaN++PQ4dOpTp7XCr17vsPcbYzPY4xnRxpfcxIG1Cr27duujcuTMSEhKM0zmhdxeb6cJe+rhaM7o/9tKHzYiyz03Ipkwmk9y5c0dMJpMcOHBANmzYIJs2bRIRkRIlSoiIyOXLl8XN7e5Tf/78eZk4caLs2LFDSpYsabNladiwofz000/SoUMH6dOnjxw4cEDy5csnycnJNruP3MBVmrFX1rhKLxE2yyp7NTt+/Lj8+uuvUqFCBeO0/Pnzi4eHh3h5eYmISEpKijRv3ly++OIL+fbbb2X69Omyc+fODLfl7u5uq4ernj3HGJvZB8eYLq70PiYiUqdOHZk7d654eXlJoUKFjNMt7z+vYzNd2EsfV2tG98de+rAZ0UNw9ox9bjFz5kx06dLF+HvlypXw8fFB+fLlUa5cOXTt2tU4b+7cufDy8sIrr7yCjh07onDhwsbPmO2NW7/epaEZe92loRfAZpYc0cy8lcSGDRvw22+/ISYmBl5eXsaucW7fvo3U1FQkJCSgcuXKMJlMGDNmjI0fae7gqDHGZrbDMaaLq7+P8eCDGbGZLuylj6s3I2vspQ+bET08fq1tA0lJSeLp6Snbtm2Tvn37iojI0qVLZfbs2bJ161aZPn267NmzR5599lkREQkPD5eIiAhJTEwUNzc32bNnj/j7+ztkWfPly+eQ+3F1WpqxVxotvUTYzMxRzUwmk8TFxcmbb74p06ZNExGRESNGSEhIiOzcuVM8PDzEZDJJSkqKPPvss/L111/LyJEj7ffAlXLkGGMz2+AY00XD+5jJZBIA3Or1f9hMF/bSR0Mzuou99GEzohxy8oR9rnHjxg0sX74cfn5+6NixI3r06IG4uDgAafvt3Lx5M0qXLo2nn37auE5iYiLu3LnjrEXO89hMF/bSx5HN9u/fj3r16qFv3774/vvvMXDgQLi5uSEyMhLTpk3DM888gwYNGhhbd3F/yhk5eoyxWc5xjOnC9zF92EwX9tKHzXRhL33YjOjhccLchm7cuIFly5ahWrVq8PX1tTqggvnFqHz58qhXr54Tl5IssZku7KWPI5sdOHAA9erVQ1hYGHbt2oVPPvkEtWvXRoMGDdCuXTtjxS+zg91QGkePMTbLOY4xXfg+pg+b6cJe+rCZLuylD5sRPRxOmNtYQkICli1bBm9vb7z66qtW5yUnJ2Pjxo3w9/fH6dOnnbSElB6b6cJe+jiy2f79+1G3bl307dvX2HrCvI9lgPuYzwpHjzE2yzmOMV34PqYPm+nCXvqwmS7spQ+bEWUfJ8xtyPwhMTExEcuWLUPJkiXRu3dvq8skJyfj5s2bzlg8ygSb6cJe+jij2YEDB1C3bl288MILiIqKMk7nQbYezFljjM0eHseYLnwf04fNdGEvfdhMF/bSh82IHg4nzLPhfh8EzfvqjI2Nxe7duwEAy5Ytg5+fH/r06eOQ5aOM2EwX9tLHVZv9/PPP6N27Nyfw0nHVXgCb3YurNmOvzLlqL7o3NtOFvfRhM13YSx82I7IPTphnkflF6NixY/joo4+sXpTML0LR0dEoV64cPvjgAwBp+4r67LPP4OHhgTfeeMPxC53HsZku7KWPqzcz7yKCE3ppXL0XwGbpuXoz9rLm6r0oIzbThb30YTNd2EsfNiOyH06YZ4H5RefgwYNwd3fH1KlTM1zm7NmzKFWqFMLCwqxepBISErBy5UocP37cYctLbKYNe+mjpRkPPphGSy+Azcy0NGOvNFp60V1spgt76cNmurCXPmxGZF+cMH8A84vKoUOHULhwYbzzzjuZXm7nzp0YPnx4pltZ8cOkY7GZLuylD5vpwl76sJku7KUPm+nCXvqwmS7spQ+bEdmfCQCE7uvkyZNSt25d6dSpkyxZskRSUlJkzpw5curUKbl165YMHDhQAgMDnb2YZIHNdGEvfdhMF/bSh810YS992EwX9tKHzXRhL33YjMi+8jl7ATT4v//7P/Hw8JCyZcvK8ePHJTw8XJKTk8VkMkliYqI0aNBAli5dKt26dZPU1FRxc3Nz9iLneWymC3vpw2a6sJc+bKYLe+nDZrqwlz5spgt76cNmRHbm7E3ctZg9ezZq166NMmXKoHXr1jh37hz++ecfAED//v3x6KOPIi4uzslLSZbYTBf20ofNdGEvfdhMF/bSh810YS992EwX9tKHzYjshxPmD2C5r6fZs2fj+eefx759+6wuExcXB29vb3zxxReOXjzKBJvpwl76sJku7KUPm+nCXvqwmS7spQ+b6cJe+rAZkf1xlywP4ObmZvx85c0335RGjRpJjRo1REQEgJhMJrl48aKUKVNGKleu7OSlJRE204a99GEzXdhLHzbThb30YTNd2EsfNtOFvfRhMyL744R5Flju7yk4ONg43WQyiYjIypUrxdPTUypUqOCMxaNMsJku7KUPm+nCXvqwmS7spQ+b6cJe+rCZLuylD5sR2ZlzNmx3LZY/Z7GUmpqK5ORkAMDJkycxcOBA3L592zj/xx9/xFtvvQUfHx8cPHjQEYtK/8NmurCXPmymC3vpw2a6sJc+bKYLe+nDZrqwlz5sRuRceX4Lc/O3cnFxcfL7779LSkqKVK9eXR577DExmUzi7u4u0dHR0rRpU2nRooV4eHiIiMi1a9dk9+7dsn37dtm+fbvUrFnTyY8k72AzXdhLHzbThb30YTNd2EsfNtOFvfRhM13YSx82I3IBzp6xdybzN3aHDx9GlSpVUK9ePRQoUAA9evTA2bNnAQDx8fFo0qQJQkNDkZqaanX9Gzdu4PLlyw5f7ryMzXRhL33YTBf20ofNdGEvfdhMF/bSh810YS992IzINeTpCXMAOHr0KEqUKIERI0bg0qVL+O677+Dh4YHdu3cDSHux2bZtG5KSkpy8pGTGZrqwlz5spgt76cNmurCXPmymC3vpw2a6sJc+bEbkfCYAcPZW7s4SHx8vPXv2lNKlS8vcuXON09u2bSsvvviieHh4SKVKlaR+/foicvdow+Q8bKYLe+nDZrqwlz5spgt76cNmurCXPmymC3vpw2ZEriFP78M8KSlJOnfubHVE4fHjx8vGjRslMTFR4uLiRERk8ODB0qdPH74IuQA204W99GEzXdhLHzbThb30YTNd2EsfNtOFvfRhMyIX4YzN2l3JtWvXjH9v2rQJJpMJa9asQVJSEs6ePYuXX34ZnTp1ws2bN524lGSJzXRhL33YTBf20ofNdGEvfdhMF/bSh810YS992IzI+fL0FuYiIt7e3sa/W7ZsKceOHZNq1aqJiEiZMmXEz89PduzYYRx1mJyPzXRhL33YTBf20ofNdGEvfdhMF/bSh810YS992IzI+dycvQDOhnS7cK9atarVefHx8VKvXj1HLxbdB5vpwl76sJku7KUPm+nCXvqwmS7spQ+b6cJe+rAZkfPl6S3MU1JSxN3dXa5fvy537tyREiVKGPt/Sk5OljFjxsj69etly5Ytki9fnn6qXAab6cJe+rCZLuylD5vpwl76sJku7KUPm+nCXvqwGZFryLNbmCcnJ4u7u7tER0fL008/Lb/88otx3tq1a+WNN96QRYsWycaNG8Xf39+JS0pmbKYLe+nDZrqwlz5spgt76cNmurCXPmymC3vpw2ZEriNPTJin/zmLiEi+fPnkxIkT0rBhQwkODpbWrVsb55UqVUqKFSsmO3bskDp16jhyUel/2EwX9tKHzXRhL33YTBf20ofNdGEvfdhMF/bSh82IXJsJmY3SXASAmEwm2bNnjxw7dkyioqKkZ8+e4ufnJ59++qns27dPPv30U+MnLmZJSUmSP39+Jy113sZmurCXPmymC3vpw2a6sJc+bKYLe+nDZrqwlz5sRuT6cv2EuYjI6tWrpV+/fvLUU0/JhQsX5NKlS/Liiy/K8OHDxcvLy9mLR5lgM13YSx8204W99GEzXdhLHzbThb30YTNd2EsfNiNybbn+CAFHjhyRwYMHy7Rp0yQkJETi4+PFx8dHPD09+SLkothMF/bSh810YS992EwX9tKHzXRhL33YTBf20ofNiFxfrtqH+datW+XkyZNWp126dEnKli0rISEh8scff0jNmjUlNDRURo4cKSIiJ0+elJSUFGcsLgmbacNe+rCZLuylD5vpwl76sJku7KUPm+nCXvqwGZFOuWLCHIAcPHhQnn/+eZk3b56cPn3aOC82NlYAyI0bN6RVq1bSsmVLWbBggYiIbN68WebNmydXr1511qLnWWymC3vpw2a6sJc+bKYLe+nDZrqwlz5spgt76cNmRLrliglzk8kkderUkWnTpslXX30l8+bNM77Ba9OmjVy4cEGKFi0qbdq0kYULF4qbW9rD3rRpkxw+fFjc3d2dufh5Epvpwl76sJku7KUPm+nCXvqwmS7spQ+b6cJe+rAZkXLIBZKSkox/z5kzB+XLl0dERAROnjwJAFiyZAmqVKmCfv364ebNmzh06BBGjBgBb29v/Pbbb85a7DyNzXRhL33YTBf20ofNdGEvfdhMF/bSh810YS992IxIt1xx0E/zN28//PCDuLm5SVJSknz00Ufyzz//yPDhw6Vbt26SmJgoEyZMkFWrVomvr694eHjI1q1bJTAw0MlLnzexmS7spQ+b6cJe+rCZLuylD5vpwl76sJku7KUPmxHpZgIAZy+ELWzatElat24tM2bMkMKFC8tff/0ls2bNktdff12GDx8uJUqUkISEBNm+fbtUqFBBSpYsKSVLlnT2YudpbKYLe+nDZrqwlz5spgt76cNmurCXPmymC3vpw2ZEijl7E3dbSElJwUsvvYTu3btbnT5r1iwULFgQQ4YMwYkTJ5y0dJQZNtOFvfRhM13YSx8204W99GEzXdhLHzbThb30YTMi3XLFLlnMB0fInz+/iIjcuXNHPDw8ZMCAAXLixAn597//LcnJyTJ48GApX768MxeV/ofNdGEvfdhMF/bSh810YS992EwX9tKHzXRhL33YjEg3N2cvQE6cO3fO+He1atXkm2++kYsXL4qHh4ckJSWJiEjZsmWlUKFCsnXrVvH09HTWotL/sJku7KUPm+nCXvqwmS7spQ+b6cJe+rCZLuylD5sR5Q5qJ8wPHTokL774osybN09ERCIiIqRGjRry1FNPSVxcnPEt3qVLl2T8+PGydetW7gvKydhMF/bSh810YS992EwX9tKHzXRhL33YTBf20ofNiHIPtbtkKVSokPj4+MiqVavE09NTQkJCZMGCBdK/f3/x9/eXZs2aya1bt2THjh1y4MABKV68uLMXOc9jM13YSx8204W99GEzXdhLHzbThb30YTNd2EsfNiPKPUwA4OyFeFhRUVESEREhcXFx0rdvX3n11VclJSVFpk6dKqdPnxYAMmDAAKlRo4azF5X+h810YS992EwX9tKHzXRhL33YTBf20ofNdGEvfdiMKHdQNWF+4MABOX/+vLRp08Y4LSoqSiIjIyU6OloGDBggL7/8shOXkNJjM13YSx8204W99GEzXdhLHzbThb30YTNd2EsfNiPKpaBEfHw8mjZtiubNm2Pjxo1W5506dQrVqlVDnTp18PHHHztpCSk9NtOFvfRhM13YSx8204W99GEzXdhLHzbThb30YTOi3MvlD/qJ/20A7+XlJVOmTJF8+fLJnDlz5NtvvzUuU6FCBWnRooXExcXJjz/+KNeuXXPS0pIIm2nDXvqwmS7spQ+b6cJe+rCZLuylD5vpwl76sBlR7ueyE+bmF6DU1FTjvw0bNpRx48bJrVu3ZN68eVYvRoUKFZKRI0fKnDlzxMfHxxmLnOexmS7spQ+b6cJe+rCZLuylD5vpwl76sJku7KUPmxHlHS65D3MAYjKZZOvWrbJ+/Xq5cuWKNGnSRLp27So+Pj7y008/yahRo+T27dtSqVIlKVSokHz55Zdy6NAhKVu2rLMXP09iM13YSx8204W99GEzXdhLHzbThb30YTNd2EsfNiPKW1xyC3OTySRr166Vdu3aya1bt+TWrVuyfPlyCQ8PlytXrkjDhg1l6tSp0qxZM4mKipKTJ0/Kli1b+CLkRGymC3vpw2a6sJc+bKYLe+nDZrqwlz5spgt76cNmRHmMPXeQ/rD27t2LypUrY9GiRQCA6OhoFC9eHGXKlEGbNm3w999/AwASExMBADdv3nTaslIaNtOFvfRhM13YSx8204W99GEzXdhLHzbThb30YTOivMXpW5hPnDhRRo4caewDSkQkNjZWGjZsKH369JHo6Gh55plnpGPHjhIZGSl79+6V119/Xa5cuSIFCxYUkbT9QpHjsJku7KUPm+nCXvqwmS7spQ+b6cJe+rCZLuylD5sRkdO3MJ81axZMJhMmTpyIlJQU4/SjR48iJSUFbdu2Rc+ePQEAKSkpCAoKgqenJ7p06WJ1eXIcNtOFvfRhM13YSx8204W99GEzXdhLHzbThb30YTMicuqEeWpqKgBg0aJFcHNzw9ixY5GUlGScHxMTA39/f2zYsAEAcOXKFXTv3h2zZ8/G2bNnnbLMeR2b6cJe+rCZLuylD5vpwl76sJku7KUPm+nCXvqwGREBQD4nbtlu/Ds0NFQ8PT2lZ8+eYjKZ5N133xU3NzcpUKCAFChQQL755hsJDAyUhQsXSlRUlHz00UdSsmRJZy16nsVmurCXPmymC3vpw2a6sJc+bKYLe+nDZrqwlz5sRkQG58zT3/3WbvPmzRg8eDCOHTuGpUuXws3NDePHj0dqaiqSkpLw4Ycfonr16ihVqhTKli2L/fv3O2uR8zw204W99GEzXdhLHzbThb30YTNd2EsfNtOFvfRhMyIyc+ouWVavXg1PT0+MHTsWe/fuBQAsXLjQ+NkLANy+fRu///47Nm/ejJiYGGcuLoHNtGEvfdhMF/bSh810YS992EwX9tKHzXRhL33YjIgAJ06Y//nnn6hYsSLmzp2b4bwFCxbAzc0N48aNc8KS0b2wmS7spQ+b6cJe+rCZLuylD5vpwl76sJku7KUPmxGRmdP2YX7mzBnJnz+/tG7d2jgtNTVV3NzcpF+/flK4cGF59dVXpUCBAvLOO+84azHJApvpwl76sJku7KUPm+nCXvqwmS7spQ+b6cJe+rAZEZk5bcL8xo0bkpiYaPydmpoqJpNJRES2bdsmdevWlS+//FICAwOdtYiUDpvpwl76sJku7KUPm+nCXvqwmS7spQ+b6cJe+rAZEZm5OeuOa9WqJZcvX5aFCxemLYibm/FC9PXXX8sXX3whnTt3Fn9/f2ctIqXDZrqwlz5spgt76cNmurCXPmymC3vpw2a6sJc+bEZEZk7bwrxixYoyZ84c6d+/vyQlJUnPnj3F3d1dli5dKkuXLpU9e/aIu7u7sxaPMsFmurCXPmymC3vpw2a6sJc+bKYLe+nDZrqwlz5sRkRmJgBw1p2npqbK6tWrJSwsTAoXLiwFCxYUd3d3WbFihdSpU8dZi0X3wWa6sJc+bKYLe+nDZrqwlz5spgt76cNmurCXPmxGRCJOnjA3O3funJw+fVpMJpNUrFhRfH19nb1I9ABspgt76cNmurCXPmymC3vpw2a6sJc+bKYLe+nDZkR5m0tMmBMREREREREREREROZvTDvpJRERERERERERERORKOGFORERERERERERERCScMCciIiIiIiIiIiIiEhFOmBMRERERERERERERiQgnzImIiIiIiIiIiIiIRIQT5kREREREREREREREIsIJcyIiIiIiIiIiIiIiEeGEORERERERERERERGRiHDCnIiIiIiIiIiIiIhIRDhhTkREREREREREREQkIpwwJyIiIiIiIiIiIiISEU6YExERERERERERERGJCCfMiYiIiIiIiIiIiIhEhBPmREREREREREREREQiwglzIiIiIiIiIiIiIiIR4YQ5EREREREREREREZGIcMKciIiIiIiIiIiIiEhEOGFORERERERERERERCQinDAnIiIiIiIiIiIiIhIRTpgTEREREREREREREYkIJ8yJiIiIiIiIiIiIiESEE+ZERERERERERERERCLCCXMiIiIiIiIiIiIiIhHhhDkRERERERERERERkYhwwpyIiIiIiIiIiIiISEQ4YU5EREREREREREREJCKcMCciIiIiIiIiIiIiEhFOmBMRERERERERERERiQgnzImIiIiIiIiIiIiIRIQT5kREREREREREREREIsIJcyIiIiIiIiIiIiIiEeGEORERERERERERERGRiHDCnIiIiIiIiIiIiIhIRDhhTkREREREREREREQkIpwwJyIiIiIiIiIiIiISEZH/B5Iv4Du0+hLUAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyze_model_responses([\"claude-3-5-haiku-20241022\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyze_model_responses([\"gpt-4o-mini-2024-07-18\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}