experiments.ipynb

{
 "cells": [
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   "cell_type": "markdown",
   "id": "c93f3d1a-18a1-4397-bff5-941079768b1a",
   "metadata": {},
   "source": [
    "# Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7e8cfded-c71c-48ee-ba39-87b1d465777d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting git+https://github.com/MeteSertkan/ranger.git\n",
      "  Cloning https://github.com/MeteSertkan/ranger.git to /private/var/folders/st/gn405qv15296zzdy6ww89vz80000gn/T/pip-req-build-52lk58n5\n",
      "  Running command git clone --filter=blob:none --quiet https://github.com/MeteSertkan/ranger.git /private/var/folders/st/gn405qv15296zzdy6ww89vz80000gn/T/pip-req-build-52lk58n5\n",
      "  Resolved https://github.com/MeteSertkan/ranger.git to commit 171134191cfa76255492893508ae7c089dc3d448\n",
      "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hCollecting ir_measures@ git+https://github.com/terrierteam/ir_measures.git@9460896 (from ranger==0.1)\n",
      "  Cloning https://github.com/terrierteam/ir_measures.git (to revision 9460896) to /private/var/folders/st/gn405qv15296zzdy6ww89vz80000gn/T/pip-install-ynf2oxjw/ir-measures_710c282bb4ab435b87c6b60ce5c0e388\n",
      "  Running command git clone --filter=blob:none --quiet https://github.com/terrierteam/ir_measures.git /private/var/folders/st/gn405qv15296zzdy6ww89vz80000gn/T/pip-install-ynf2oxjw/ir-measures_710c282bb4ab435b87c6b60ce5c0e388\n",
      "\u001b[33m  WARNING: Did not find branch or tag '9460896', assuming revision or ref.\u001b[0m\u001b[33m\n",
      "\u001b[0m  Running command git checkout -q 9460896\n",
      "  Resolved https://github.com/terrierteam/ir_measures.git to commit 9460896\n",
      "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hCollecting matplotlib==3.5.1 (from ranger==0.1)\n",
      "  Using cached matplotlib-3.5.1-cp310-cp310-macosx_11_0_arm64.whl (7.2 MB)\n",
      "Collecting numpy==1.22.3 (from ranger==0.1)\n",
      "  Using cached numpy-1.22.3-cp310-cp310-macosx_11_0_arm64.whl (12.8 MB)\n",
      "Collecting pandas==1.4.2 (from ranger==0.1)\n",
      "  Using cached pandas-1.4.2-cp310-cp310-macosx_11_0_arm64.whl (10.1 MB)\n",
      "Requirement already satisfied: PyYAML==6.0 in /opt/miniconda3/envs/ranger_recsys_repo/lib/python3.10/site-packages (from ranger==0.1) (6.0)\n",
      "Collecting scipy==1.10.0 (from ranger==0.1)\n",
      "  Using cached scipy-1.10.0-cp310-cp310-macosx_12_0_arm64.whl (28.8 MB)\n",
      "Collecting cycler>=0.10 (from matplotlib==3.5.1->ranger==0.1)\n",
      "  Using cached cycler-0.11.0-py3-none-any.whl (6.4 kB)\n",
      "Collecting fonttools>=4.22.0 (from matplotlib==3.5.1->ranger==0.1)\n",
      "  Downloading fonttools-4.40.0-cp310-cp310-macosx_10_9_universal2.whl (2.6 MB)\n",
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      "\u001b[?25hCollecting kiwisolver>=1.0.1 (from matplotlib==3.5.1->ranger==0.1)\n",
      "  Using cached kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl (63 kB)\n",
      "Requirement already satisfied: packaging>=20.0 in /opt/miniconda3/envs/ranger_recsys_repo/lib/python3.10/site-packages (from matplotlib==3.5.1->ranger==0.1) (23.1)\n",
      "Collecting pillow>=6.2.0 (from matplotlib==3.5.1->ranger==0.1)\n",
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      "\u001b[?25hCollecting pyparsing>=2.2.1 (from matplotlib==3.5.1->ranger==0.1)\n",
      "  Using cached pyparsing-3.1.0-py3-none-any.whl (102 kB)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /opt/miniconda3/envs/ranger_recsys_repo/lib/python3.10/site-packages (from matplotlib==3.5.1->ranger==0.1) (2.8.2)\n",
      "Collecting pytz>=2020.1 (from pandas==1.4.2->ranger==0.1)\n",
      "  Using cached pytz-2023.3-py2.py3-none-any.whl (502 kB)\n",
      "Collecting pytrec-eval-terrier>=0.5.5 (from ir_measures@ git+https://github.com/terrierteam/ir_measures.git@9460896->ranger==0.1)\n",
      "  Using cached pytrec_eval-terrier-0.5.5.tar.gz (16 kB)\n",
      "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hCollecting cwl-eval>=1.0.10 (from ir_measures@ git+https://github.com/terrierteam/ir_measures.git@9460896->ranger==0.1)\n",
      "  Using cached cwl-eval-1.0.12.tar.gz (31 kB)\n",
      "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hRequirement already satisfied: six>=1.5 in /opt/miniconda3/envs/ranger_recsys_repo/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib==3.5.1->ranger==0.1) (1.16.0)\n",
      "Building wheels for collected packages: ranger, ir_measures, cwl-eval, pytrec-eval-terrier\n",
      "  Building wheel for ranger (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for ranger: filename=ranger-0.1-py3-none-any.whl size=17899 sha256=72acba3f06b3edc310bed2e84aceb7e0267169f44c0d72b3a88fb3684ea94c0f\n",
      "  Stored in directory: /private/var/folders/st/gn405qv15296zzdy6ww89vz80000gn/T/pip-ephem-wheel-cache-vce6gtlq/wheels/ee/b3/22/aab55d2070ed0f6e594cfeba27523321f3963181e53a7da934\n",
      "  Building wheel for ir_measures (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for ir_measures: filename=ir_measures-0.3.1-py3-none-any.whl size=61182 sha256=5aed92fc93217e95bd13ad2c9cd323a2132347bfaa987ee32beb2973726f2acd\n",
      "  Stored in directory: /private/var/folders/st/gn405qv15296zzdy6ww89vz80000gn/T/pip-ephem-wheel-cache-vce6gtlq/wheels/1a/57/14/6af2a6310cd053ead1c2edc4d15a46b28da158f0ce1cf6a667\n",
      "  Building wheel for cwl-eval (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for cwl-eval: filename=cwl_eval-1.0.12-py3-none-any.whl size=38067 sha256=4ad8d29c20fe2588662d0c59e9d69937eac78a81da27255c2ba7d24352f2b1be\n",
      "  Stored in directory: /Users/mete/Library/Caches/pip/wheels/3d/c1/94/94a3e5379b1aa8fb7c7f1ad1956305d5edc98ef745b6067d87\n",
      "  Building wheel for pytrec-eval-terrier (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for pytrec-eval-terrier: filename=pytrec_eval_terrier-0.5.5-cp310-cp310-macosx_11_0_arm64.whl size=68610 sha256=8301785f944f495607d7b03c285dd6b77ae85aa9718161786e0a977e9a420112\n",
      "  Stored in directory: /Users/mete/Library/Caches/pip/wheels/8d/a9/b3/67cd70ca7df382b22b051b012f4677fce042988c81057070b7\n",
      "Successfully built ranger ir_measures cwl-eval pytrec-eval-terrier\n",
      "Installing collected packages: pytz, pytrec-eval-terrier, pyparsing, pillow, numpy, kiwisolver, fonttools, cycler, scipy, pandas, matplotlib, cwl-eval, ir_measures, ranger\n",
      "Successfully installed cwl-eval-1.0.12 cycler-0.11.0 fonttools-4.40.0 ir_measures-0.3.1 kiwisolver-1.4.4 matplotlib-3.5.1 numpy-1.22.3 pandas-1.4.2 pillow-10.0.0 pyparsing-3.1.0 pytrec-eval-terrier-0.5.5 pytz-2023.3 ranger-0.1 scipy-1.10.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install git+https://github.com/MeteSertkan/ranger.git"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "afb4af82-d121-4f88-8b5e-6c3368f96cb6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import csv\n",
    "import numpy as np\n",
    "from ranger.metric_containers import AggregatedPairedMetrics, AggregatedMetrics\n",
    "from ranger.meta_analysis import analyze_effects\n",
    "from ranger.forest_plots import forest_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a6491cb-9fac-4a25-a193-78e6940f0544",
   "metadata": {},
   "source": [
    "# Load the Runs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "34d80645-f986-4e95-971f-88812b1dfa87",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [\"MF\", \"MF-bias\", \"BPR\"]\n",
    "datasets = [\"amazon-clothing\",\n",
    "            \"amazon-digital-music\", \n",
    "            \"amazon-office\", \n",
    "            \"amazon-toy\", \n",
    "            \"filmtrust\", \n",
    "            \"movielens-10M\",\n",
    "            \"netflix-small\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "58188d83-011e-4ac6-b602-4cc931a49211",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Experiment:\n",
    "    def __init__(self):\n",
    "        self.rmse = AggregatedMetrics()\n",
    "        self.ndcg = AggregatedMetrics()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c0c3ea87-61b2-4198-a8bf-720a36ca17fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def process_experiment_files(dir_path, model_names, dataset_names):\n",
    "    experiments = {}\n",
    "\n",
    "    for model_name in model_names:\n",
    "        for dataset_name in dataset_names:\n",
    "            filename = f\"{model_name}_{dataset_name}.csv\"\n",
    "            file_path = os.path.join(dir_path, filename)\n",
    "\n",
    "            if not os.path.isfile(file_path):\n",
    "                raise FileNotFoundError(f\"File '{filename}' not found!\")\n",
    "\n",
    "            if model_name not in experiments:\n",
    "                experiments[model_name] = Experiment()\n",
    "\n",
    "            experiment = experiments[model_name]\n",
    "\n",
    "            with open(file_path, 'r') as file:\n",
    "                csv_reader = csv.reader(file)\n",
    "                next(csv_reader)  # Skip the header row\n",
    "                rmse = []\n",
    "                ndcg = []\n",
    "                for row in csv_reader:\n",
    "                    if len(row) >= 3:\n",
    "                        rmse.append(float(row[1]) if row[1] else 0.0)\n",
    "                        ndcg.append(float(row[2]) if row[2] else 0.0)\n",
    "                experiment.rmse.add(rmse)\n",
    "                experiment.ndcg.add(ndcg)\n",
    "\n",
    "    return experiments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c467c1cb-b68d-4380-85c3-b0c0a5185c0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "experiments = process_experiment_files(\n",
    "    \"runs\", \n",
    "    models, \n",
    "    datasets)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94e56d74-c05e-43f3-85a7-0113184ebcdd",
   "metadata": {},
   "source": [
    "# MF vs. MF-bias\n",
    "In our first case study, we examine the impact of incorporating bias terms (user, item, and global) - designated as the treatment - against a basic matrix factorization model - the control. We measure their performance on user-item-rating matrix completion via RMSE and ranking through NDCG@10.\n",
    "## RMSE\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "76a52a81-5adf-4c79-bd36-87a17ca869c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "title = \"MF vs. MF-bias\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7a9e8ece-31c3-4608-ad15-c5ef79504cbc",
   "metadata": {},
   "outputs": [],
   "source": [
    "effects = AggregatedPairedMetrics(\n",
    "    treatment=experiments[\"MF-bias\"].rmse.get_metrics(),\n",
    "    control=experiments[\"MF\"].rmse.get_metrics()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "07be6321-c225-410c-9d72-3e42f0d98eda",
   "metadata": {},
   "outputs": [],
   "source": [
    "effect_size = analyze_effects(datasets,\n",
    "                              effects=effects,\n",
    "                              effect_type=\"SMD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0e632ee7-0012-4719-96a5-bf118bde2690",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>eff</th>\n",
       "      <th>ci_low</th>\n",
       "      <th>ci_upp</th>\n",
       "      <th>p</th>\n",
       "      <th>w_re</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>amazon-clothing</th>\n",
       "      <td>-3.077933</td>\n",
       "      <td>-3.273481</td>\n",
       "      <td>-2.882384</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.115094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amazon-digital-music</th>\n",
       "      <td>-0.145250</td>\n",
       "      <td>-0.162494</td>\n",
       "      <td>-0.128006</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.147958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amazon-office</th>\n",
       "      <td>-0.578521</td>\n",
       "      <td>-0.621275</td>\n",
       "      <td>-0.535768</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.146273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amazon-toy</th>\n",
       "      <td>-0.556238</td>\n",
       "      <td>-0.573282</td>\n",
       "      <td>-0.539194</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.147966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filmtrust</th>\n",
       "      <td>-0.222639</td>\n",
       "      <td>-0.266003</td>\n",
       "      <td>-0.179275</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.146216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movielens-10M</th>\n",
       "      <td>-0.030320</td>\n",
       "      <td>-0.031711</td>\n",
       "      <td>-0.028928</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.148288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>netflix-small</th>\n",
       "      <td>-0.050401</td>\n",
       "      <td>-0.059129</td>\n",
       "      <td>-0.041674</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.148205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>combined_effect</th>\n",
       "      <td>-0.587187</td>\n",
       "      <td>-0.727401</td>\n",
       "      <td>-0.446973</td>\n",
       "      <td>2.220446e-16</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           eff    ci_low    ci_upp             p      w_re\n",
       "amazon-clothing      -3.077933 -3.273481 -2.882384  0.000000e+00  0.115094\n",
       "amazon-digital-music -0.145250 -0.162494 -0.128006  0.000000e+00  0.147958\n",
       "amazon-office        -0.578521 -0.621275 -0.535768  0.000000e+00  0.146273\n",
       "amazon-toy           -0.556238 -0.573282 -0.539194  0.000000e+00  0.147966\n",
       "filmtrust            -0.222639 -0.266003 -0.179275  0.000000e+00  0.146216\n",
       "movielens-10M        -0.030320 -0.031711 -0.028928  0.000000e+00  0.148288\n",
       "netflix-small        -0.050401 -0.059129 -0.041674  0.000000e+00  0.148205\n",
       "combined_effect      -0.587187 -0.727401 -0.446973  2.220446e-16  1.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "effect_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d9013a0a-9af1-4e65-87bd-504548fd66d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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FCwaA/fTTT7z0ly9fMkVFRda6dWsGgD169Ii3fM6cOQwAu3r16qcsLmOMsefPnzMAbP78+RLl//333xkA9uLFC5nsX3gOGDVqFAPA4uPjecv//fdfpqioyFxcXBgA9uuvv8pkv7UpMjKSaWhosIYNG4qcyxhjrKioiPn4+PCW2djYMHV1dVZcXFzhti9evMgAsBEjRrDCwkIuPSEhgcnLy7MBAwbw8n/48IEpKiqy8ePHV1ru3377jTVs2JDl5uZyaXp6eszLy4t7HxcXx3R1ddnhw4cr3d7XhoILQj6RUaNGMYFAwNLS0irM9+zZMwZA5NW/f3/WrVs3scvevHnDGGPs7du3bN68eczCwoIpKSmxxo0bs6lTp7J3796J7KegoIBt3ryZffvtt0xDQ4Opqqqy1q1bsxUrVjDGGHNzcxO7r9GjR5db9uPHjzMAbM6cORIdkzNnzjAA7OjRo1yag4OD2P0CYPXr1+etf+3aNebs7Mz09fWZiooKa926NfP395do34SQqsvKymIA2A8//MBLnz9/PqtXrx47dOgQA8Bu3rzJW0dLS4t16NCBt46kf8cjRoxgmpqarKSkhJd+9uxZ1q1bN6aqqsoaNGjA5s6dy/777z8GgHl4eHD5hL9P+/btY9u3b2fffPMNU1FRYU2aNGHbtm3j8r1//77c36C4uLgqHzNhUHH+/HkGgAUFBfGW9+3bl5mZmbGtW7dy5Sxrz549rFu3bkxDQ4NpaWkxR0dHduPGDZH9XL9+nY0fP55ZWFgwNTU1Vr9+fda9e3d2+fJlkby6urrMycmJRUREsMGDBzNtbW2mra3NRo0axdLT06tcV8YYy8vLYy1btmT16tVjd+/elWidDx8+MAUFBdalS5dK8zo5OTE5OTn29u1bkWUmJiZMT0+Pl3bjxg0GgG3fvp1lZ2ezoqKicrfdv39/1q9fP+59RkYGU1BQYL6+voyx0u9Iy5Yt2ZIlSySq19eGukUR8olERkbC1NQUxcXFYgcTCvsAq6urY+/evfD09ER+fj5WrFgBALCwsEBycjKaNm0KPz8/eHt7w8zMDAoKCtDX18fTp0/h4OCA/Px8TJw4EU2bNsWjR4+wdetWPHjwAJcvX4acXOkwq6ysLPTp0wc3b97EsGHDMHbsWOTl5eHmzZtcX1VnZ2dkZmby9gUANjY25dYxOzsbAPDvv/+iqKgICgoV/8RERUUB4Dd/z5o1C5MmTeLlCw0Nxf79+zFw4EAuzdfXFzNmzIC9vT3mzZsHVVVVBAUFwdXVFfn5+ZgyZUqF+yaEVJ26ujoUFBSQkZHBpeXk5GDbtm0YOXIkWrZsCQC85X5+fsjIyMCvv/7KpUnzdxwVFQVbW1teV6GdO3diypQpsLOzw8qVK1FYWIhNmzZxv2PffPMNl/fevXsAgA0bNgAAfvjhBygrK+PPP//E1KlT0aFDB9ja2oIxhr179+KXX36BmZkZfvvtNwCAQCBA06ZNq3zMIiMj0bhxY3Tt2hWKiop48OABnJycAACnTp1CaGgojh07hkuXLgEA2rZtCwBgjGH06NE4fPgwhg0bhhUrVuDDhw/YsWMHHB0dERERweu6tXLlShQXF2P06NFo1KgREhMTsXXrVvTv3x8xMTHcb/mLFy/w7t07rruSq6srBgwYgLNnz+LAgQNo2LAh1q1bV+X6+vn5ITY2FrNnz5Z4nEx0dDSKioq4ulfkzp07aNKkicj4mYKCArx+/Rqqqqq89Nu3bwMoHdQ/ZcoU1KtXD7a2tvDx8YGDgwMvr7GxMU6ePIl79+6hXr16WLBgAdTU1PD999+juLgYLi4uaN26NZYsWSJRvb46tR3dEPI1yMrKYnJycuXeDTM0NOTlLykpYVpaWmzYsGEi25oxYwYTCAQsMzOTS8vPz2ctW7Zk1tbWXCuGkK+vr0j3qoEDB7J69eqxU6dOiWz/w4cP3P9nzpwpsq+KvHr1iuno6DAArGHDhmz8+PFsz5495XaFGjZsGNPW1q5wm4GBgaxevXrs+++/ZwUFBYyx0uZwOTk5tmDBAl7ekpIS1rFjR9a8eXOJyksIqTpdXV3WqVMn7v2GDRsYAHb//n2WkJDAALBDhw4xxhgrLi5mTZs2ZaamptwdY2n+jjMzM5lAIGBubm5cWnR0tMhvA2OMxcfHc7+3z54949KHDBnCALBJkybxutyEhYVxd7SF0tLSpGqFrYzwHODk5MQYY6xNmzZsxIgRjLHSVmQLCwvWo0cPxhhjnTt35nUL8vLyYoqKiuzEiRO8bb5584apq6uLdJHNzs4W2f+FCxcYALZjxw4uLTg4mAEQ6cZaXFzMTExMeJ9tVdja2jKBQMCePHki8TqbN29mAFhAQECleRs3bsy0tLRYfn4+L3316tUMADM3N+elu7u7s19//ZXt2bOHHT9+nC1cuJCpqakxeXl5kVaduLg4ZmJiwp2jjY2NuTy//PILa9euHcvNzWUlJSVij/fXjoILQj6Bq1evMgDMzc2NhYWFibzCw8N5+ePi4hgA9scff4hsq3PnzszCwoKXJjyph4SEsLdv3/Jely5dYgC4bgbCrkjLly+vtNxdunQR2Vdlnj59yn7++WdmaGjI/TDLy8uLbWZv2rQpc3R0LHdbBw8eZAoKCmz06NG8Jmw7OztmYWHBUlJSROr7008/MTk5uUr76xJCqqdp06bM2tqaMfa/4KFPnz6MMcbevXvHAHDdjYKCghgAtm7dOm59af6Ohb+hZbtLOTs7M3V1dbHdPk1NTZmWlpZIWoMGDVheXh4v/cqVKwwA27t3L5cm7Lp04MCBahyh/xGW39vbmzHG2Lhx45ilpSVjrPRiWF5ent2/f58VFxczdXV1rlvQ69evmYqKChs3bpzIMXr79i2ztrYu9ze0oKCApaWlsbdv37K7d+8yAGzTpk3cck9PTwaAHTlyRGRdc3Nz9t1331W5vm/fvmUCgYC1bt1aqvUmTpzIALAHDx5UmnfSpElcV93Y2FgWHR3N3N3dmZKSEgPABg4cWOk2/v77bwaADRkyRGTZhw8f2J07d1h4eDg3pmPLli3MyMiIJSUlsXXr1jE9PT0GgFlYWLCIiAip6lqXUXBByCfw559/MgDswoULEuU/fPgwFyyUJTzxuLi48NI7duxYbquI8HX8+HHGGGMjR45k9erVq7Q1oqSkhGloaIj0qZbGo0eP2Jo1a5ixsTEDwKZNm8Yty8jIYAKBgM2ePVvsurt372ZycnJs4sSJvEAhNja20rpW1hpCCKm+tm3bMhMTE8ZYaQsjABYWFsYYY6ywsJABYD4+Powxxrp168a0tLS43x1p/46FN1Cio6MZY6UtGfXq1WNjx44VWzZTU1Pm4ODAvRe2RHw8AJ2x/7Xulh0X4OPjwwCw2NjYahyh/xGeA4StxevXr2cKCgrs+fPnTFNTk/3888+MsdJB3QDYzJkzGWOMG39R0UvYGsIYY+np6ez3339nFhYWTCAQiOQtO6HIkCFDmJqamkiwlZ2dzeTk5Nj06dOrXN/w8HAGgA0fPlyq9WxtbZmqqmqF4yGE3r9/z/r378+rn52dHfP29mYA2KpVqyrdxocPHyQOgi5cuMA0NTXZ3bt32aZNm5i8vDz7/fffWWBgILOxsWE2NjYS1fFrQGMuCPkEIiMjAQBWVlZS5f94Kr4nT54gOztbJP3evXvo06cP5syZU+42hfOqR0VFoVWrVtDQ0KiwDE+ePEFWVpZE0wGWx9LSEpaWlujWrRs6dOiAK1eucMuioqLAGOP1iRbasmULpk+fjp9//pmb81xI2G967dq1aN26tdj9qqurV7nMhBDJaGtrIy4uDkDp32ObNm3Qs2dPAICCggJUVVWRkZGByMhIXLlyBb/99hv3uyPt33FkZCSUlJTQqlUrAMDDhw9RUFAgtm9+ZmYmXrx4AWdnZy5NOL5L3DS0ERERUFRU5I0ni4yMhLq6OiwsLCQ+HhX5+Dfd1tYWRUVFcHFxgYKCAjc1qjCfsF737t2DnJwcQkNDy52W1sTEBEDpczk6duyIpKQkTJ48Ge3bt4euri7k5eWxZcsWBAYGioxBsbW1hZKSEm97UVFRKCkpkWjcQ3mKi4sBAIWFhRKvk5+fj4cPH6Jdu3aQl5evNL+2tjZOnz6NpKQkJCQkwMDAAM2aNcOECRMgJyeHkSNHVrqNoqIiMMbQoEGDCvPFxcVh+PDh2LlzJ9q1a4chQ4ZgypQpWLZsGYDS75yrqytycnJ4Uy9/rSi4IOQTiIiIgJ6eHho2bChR/sjISBgZGYn84AlPPGVPEAUFBcjLy4Ouri53Yq9IRkYGVFRUKs0nbrB1VQlPXlpaWpVuf/369fj1118xZ84crF69WmRbwgGiNjY2EtWXEFIztLW1kZWVhVu3buH69evYs2cPb7mmpiYyMjKwfv16KCgowM3NjVsm7d9xVFQUbGxsuEkicnNzAYCbpKKsvXv3oqSkBLa2tlyaMJgR93sWEREBKysr3kW2uMHj1REREQEDAwMYGhoCAFe2W7duYePGjdxDRD9+xkNGRgYEAgG6du0KZWXlCvexZcsWPHnyBOfOnUOvXr249OLiYkyaNAnGxsbQ19cHUBqIPH/+HEOGDBFb1rJlqIqmTZtCTk4OMTExYp/nIU5MTAwKCwul3m+jRo24Z0z8999/OHjwIEaOHMkFXRU5fvw4AKB///7l5klPT8egQYMwc+ZMDB8+HElJSXj16hXve1tUVASBQCD2+/g1oqNASA3Lzc1FbGysxK0WQOmJTdwPrLgWjXr16sHExARhYWFiZ6HKysriTsQAYG5ujn///Rf//fefSN6CggLu/8+ePQMAmJqaSlTmCxcuID8/XyS9uLiYuys3evRoLj0qKgoqKircrDJA6QP7fv31V3h4eIgNLABwD94q7+mtKSkpEpWXEFI92traYIzBy8sLxsbG+OGHH3jLtbS08OjRIxw+fBjDhw/nXexJ83dcUFCAR48e8W6qmJubAyh9iFlZsbGx3AM/y+aPioqCkpKSyO+w8G75x7+3z549k/i3rzLCc0DZfWhra2PVqlVYvnw5pk2bxqVHRkZCRUUFlpaWAEqPU3FxMQ4fPiyyXcYY3rx5w71//vw5APB+UxljmDVrFp4/f87bv/DmjrjWiYiICLHHShq6uroYMGAAnj59ys3O9bFnz55h69at3PuPW20qwsQ8uTw9PR0uLi7Q0dGBj48Pl56Xlye2BSUmJgazZ8+GqalpubMLFhcXY8SIEbC1teVmhhIGEGVbV06fPg1bW1uJbtx9DajlgpAaFh0dzTUR79u3T2yeAQMGQEdHB0DpnZfU1FSx3YUiIyNhYmICXV1dXvqCBQswffp02NnZYeLEiTA2Nsbr16/x77//4sSJE0hKSuLy/vbbbxg6dCi6dOmCyZMnw9DQEC9fvsSZM2ewePFibrpX4cl74cKFGDBgAOTl5eHk5FRul6PJkycjKysLzs7OaNOmDZSUlPD8+XMcPHgQT58+haurK6ZOncrlF96JFP5Ab9myBR4eHrC3t0eLFi1EjpW9vT2aN28OR0dHdOzYEf7+/khOTka/fv2gpKSE//77D1evXoWBgQGOHDlS/gdCCJEJ4VO6Q0ND4ePjI/LkbE1NTfzzzz8AwE3nKiTN3/GDBw9QWFjI+01s0qQJevfujcDAQIwePRqOjo549uwZdu7cCW1tbeTm5nIX6EBpy0XZlg+h8u6Wm5ubIzQ0FH/99Rd0dXVhbm6OTp06Vek4Cc8BH+9j3rx5Innv3buHNm3acL+LU6ZMwebNmzF58mRcvXoV7dq1Q15eHp4/f45Tp07Bzc0Nv/zyCwCgW7du2L59O4YOHYoJEyYgKysLR48eRUlJCQBIHFxERkaKPVbS2rJlCx4+fIhZs2YhJCQE3bt3h76+PpKTk3HlyhWcP38eHh4eXH5pWkz27NmD/fv347vvvoO+vj7i4uLg7+8PRUVFnDlzBkZGRlzeU6dOYfr06Rg+fDgsLCygoqKCO3fuYN++fdDR0cGZM2fK7crk5uaG9PR0BAcHc2mGhoZo1qwZPDw8kJycjOvXr+P48eO8PF+9WhzvQchXYdOmTRUOxhMIBLxZlIQPevr4AUuMMaajoyN2VgvGGDt58iRzcHBgDRo0YEpKSszExIT169eP93AoobCwMNa9e3emr6/PlJWVmbm5OZs4cSJv1pXi4mI2a9YsZmBgwAQCAVNUVBSZ8q+sPXv2sJEjRzILCwumpaXFFBUVmZGREXN2dmZnzpzh5c3Ly2MKCgq8wZUDBgyo8DiFhoZyebOyspinpyezsrJiampqTEtLi7Vs2ZJNmjSJ3blzp9wyEkJkZ+nSpQwA09DQEPvAtZ49ezIArFu3bmLXl/TveOfOnQzgP5CPMcZSU1PZyJEjma6uLtPS0mIDBgxgd+7cYdbW1rxpVIUPZpsyZYpIGYQDpj9+GN3NmzdZhw4dmKqqKgPAFi9eLNWxKUt4DggMDKwwX3x8PAPADe4WSkhIYBMmTGBNmzZlSkpKTE9Pj7Vt25bNnz+fN4UsY4ytWLGCmZiYMGVlZda6dWu2adMmdvDgQQaAN5Xt6NGjxQ6czsnJYfLy8mKPVVWkp6ezxYsXs9atWzNVVVWmqqrKmjZtygYOHMi2bNnCUlNTubzt2rVjSkpKvKdtlyc4OJi1bduWqaurMzU1NWZjY8M8PT3Ffg8vXrzI+vfvzxo1asTq1avHVFVVmY2NDVu4cCFv/x/z9fVljRo1EjnGjJUOWLezs2NKSkrMysqK9yBYwpiAMTFtS4QQQgghX5j79++jTZs2WLlyJebPn1/bxSHkq0TBBSGEEEK+KHl5eVBSUuINFM7IyICjoyOeP3+OuLg4ke6jhJBPg8ZcEEIIIeSLcujQIfz1119wdnaGoaEhnj59Cj8/P2RkZODYsWMUWBBSiyi4IIQQQsgXxcDAAMrKyvjzzz+RlZUFfX19fPfdd3B3d+c9r4IQ8ulRtyhCCCGEEEKITNBzLgghhBBCCCEyQcEFIYQQQgghRCYouCCEEEIIIYTIBAUXhBBCCCGEEJmg4IIQQgghhBAiExRcEEIIIYQQQmSCggtCCCGEEEKITFBwQQghhBBCCJEJCi4IIYQQQgghMqEgSabc3FzExsbWdFkIIYQQQgghn7GWLVtCVVW13OUSBRexsbFo27atzApFCCGEEEII+fJERETAzs6u3OUCxhirbCPUckEIIYTUHYmJiWjSpEltF4MQ8gWqrOVCouCCEEIIIYQQQipDA7oJIYQQQgghMkHBBSGEEPKVuXfvXm0XgRBSR1FwQQghhHxlDA0Na7sIhJA6isZcEEIIIYQQQmSCWi4IIYSQr0xmZmZtF4EQUkdRcEEIIYR8ZeLj42u7CISQOoq6RRFCCCFfmfz8fCgpKdV2MQghdRAFF4QQQgghhBCZoG5RhBBCyFfmv//+q+0iEELqKAouCCGEkK9MTk5ObReBEFJHUbcoQgghhBBCiExQywUhhBBCCCFEJii4IIQQQr4y9+/fr+0iEELqKAouCCGEkK+Mvr5+bReBEFJH0ZgLQgghhBBCiExQywUhhBDylcnOzq7tIhBC6igKLgghhJCvzJMnT2q7CISQOoq6RRFCCCFfmQ8fPkBFRaW2i0EIqYMouCCEEEIIIYTIBHWLIoQQQr4yL1++rO0iEELqKAouCCGEkK9MRkZGbReBEFJHUbcoQgghhBBCiExQywUhhBBCCCFEJii4IIQQQr4yDx8+rO0iEELqKAouCCGEkK+MtrZ2bReBEFJH0ZgLQgghhBBCiExQywUhhBDylfnw4UNtF4EQUkdRcEGqxN/fHwKBAJcuXar1bTdp0gSOjo4yL8fnZOnSpZCTk8PSpUtruyiEkDrg33//re0ikDrO09MTAoGAe127dq22i0SksHLlSt7nJ831nkLNFYuQ8t27dw/Hjx+Hq6srmjRpUtvF+awtXboUixcvBgDu30WLFtVmkQghX7gWLVpUa/2LFy/i1atXSEpKQlpaGrS1tbFgwQKxeePi4vDgwQMkJSXh9evXKCoqwuTJk9G0aVOJ9xcWFoYLFy6IXda/f39069aNe5+fn4/Tp0/j4cOHEAgEsLKywoABA1CvXj3eeg8ePMDhw4cxe/Zs1K9fX+KyyNLatWtx8uRJPH78GGlpaahfvz5atmyJmTNnwtnZWeLtZGRkwMPDA4GBgXj37h2aNm2KX375BVOnToVAIODlzc7OxoYNG3Dw4EEkJiZCSUkJFhYWmDJlCsaNGyeSv7rWr18PPT09ib9zsjgmly9fxt9//40rV67g+fPnXB1/+eUX/PDDD7w6Xrp0Cd27d69we9euXUPnzp0l2rekpCljRaT9PENCQrBmzRo8fPgQWVlZMDY2xqBBgzB37lw0bNiQyzdo0CAYGxvj6tWr2L59u1R1o+CC1Ip79+7By8sLjo6O1Q4uHj9+LPMfw89F2cBCiAIMQkh1qampVWv9s2fPQlVVFUZGRpV2sYqKikJ0dDQaNmwIfX19JCcnV3m/AwcOFCl7o0aNeO9DQkJw79497oLx4sWLkJOTw5AhQ7g8eXl5OHHiBHr37l1rgQUA3LlzB02aNEH//v2hp6eHtLQ0HDlyBEOHDoW3t7dEv/MFBQXo1asXoqKiMGPGDFhaWiIkJAQ///wzUlJS4OnpyeUtKSlBv379cOPGDYwbNw4zZsxAbm4uDh48iPHjx+Pff//FqlWrZFpHJycnqc7zsjgm8+fPx8uXL+Hs7AwbGxvk5OTg8OHDGDVqFP755x/s2LGDy2tpaYm9e/eKbCM/Px9TpkyBnp4eOnToIHH5JSVNGcsj7ee5Y8cOTJkyBW3btsX8+fOhpqaGu3fv4s8//0RgYCBiYmK4vy8rKytYWVmhqKhI6uACjJAq8PPzYwDYxYsXZb5+dbddV3h7ezMA5b68vb1ru4iEkC/Uq1evqrV+amoq9/9169axFStWlJs3PT2dFRYWMsYYu3z5Mps/fz6Lj4+Xan/nzp1j8+fPZ+/evas077Jly9i5c+d46y5fvpyXJzAwkG3YsIEVFxdLVY5PobCwkLVu3Zqpq6uzoqKiSvNv3ryZAWAbNmzgpQ8dOpQpKiqyxMRELu3GjRsMAJs1axYvb35+PjMzM2NaWloyqQNjjC1ZsoQBYAkJCdXelrTH5NKlSyL5iouLWbdu3RgAFhMTU+k2Dhw4wACwOXPmVLncNV1GaT9PCwsLZmhoyD58+MBL//333xkAFhQUJLKPqlyT1ekxF1lZWfDw8IC9vT309PSgpKSEZs2aYcGCBcjNzeXyXbp0CQKBAP7+/vD19UWLFi2grKwMGxsbnDp1CgAQExODvn37QlNTE7q6upg5cyYKCwt5+7tz5w5cXV1hYWEBVVVVaGhooHPnzggKCuLlE+6vvJe/vz+XNycnB+7u7mjatCmUlJRgYGCAsWPH4vnz52K36e/vDz8/P1hZWUFJSQmmpqbw8fGR6rgVFBTAx8cHtra2UFVVhZaWFtq1a4dNmzZVum5qaiqmT58OExMT1KtXDyYmJpg+fTrevXvH5fH09MT48eMBAN27d+fq7erqyttWSUkJ1qxZw9XdwsICAQEBIvsUN+ZCmBYbG4sBAwZAQ0MDWlpaGDZsGF6/fi2yjfv376N3795QU1ODrq4uxo0bh9TUVLHlkkZRURHev3+PoqIiqdYT12LxscWLF0s1BqOqZSGE1D2pqanVWl9XV1fivFpaWlBQkF1Hiby8PBQXF5e7vLCwEKqqqtx7FRUVFBQUcO8TExMRHh6O77//HnJyn99lkIKCAho1aoScnByR6wxxDhw4AFVVVUyePJmXPmvWLBQWFuLw4cNcWmZmJgDAyMiIl7devXrQ09OrdotWTZH2mDg4OEBeXp6XJicnh2HDhgEo7RJXmZ07dwIAJk2aVIUSV04WZZT288zMzISOjg6UlZV56cL1ZfX51+luUUlJSdi5cye+//57jBo1CgoKCrh8+TJ8fHwQFRWFs2fP8vJv3rwZ79+/x6RJk6CsrIwNGzbA2dkZR44cweTJkzFy5Eg4OTnh3Llz2LhxIxo0aAAPDw9u/aCgIMTGxmLEiBEwNTXFu3fvEBAQgKFDh2L//v0YNWoUgPKb4NasWcM1HQOlP5B9+vTB9evXMWzYMPz222+Ii4vDli1bcO7cOYSHh8PY2Ji3ja1btyIlJQUTJ06EtrY29u3bh/nz58PY2Jjbf0UKCgrQp08fXLp0Cb1798aYMWOgrKyMmJgYBAYG4pdffil33YyMDHTq1Anx8fGYMGEC7OzsEBUVhS1btuCff/7BnTt3oKGhgaFDhyI5ORnbt2/HwoULYWlpCQAi/W8XLlyIDx8+4KeffoKSkhK2bNkCV1dXNGvWTKK+j0lJSXB0dISzszNWr16N6OhobNu2DZmZmTh37hyXLy4uDl27dkVJSQlmzpyJRo0a4cyZM+jbt2+l+6hMVlYWwsLC0KtXL+jo6Ei0jiSBhZA0XaSqUhZCSN1kY2NT20Wokr/++gv5+fmQk5ODsbExvvvuO5G+/I0bN8bt27dhZmYGALh9+zZMTU0BlN5kOXbsGLp06SJyQVab0tLSUFxcjNTUVBw5cgShoaHo3r27yEXgx0pKShAZGQk7OzuRvB06dIBAIMDdu3d5adra2vDx8UGTJk1gb2+P3NxcBAQEICIiAlu3bq2R+lVFVY9JRV6+fAkAvLEF4iQkJODixYvo0qVLtccnSUvSMgLSf559+vRBQEAAfvvtN0yaNAnq6uq4e/culi5dCgcHB/To0UM2lZC4jeMLlJ+fzwoKCkTSPTw8GAB2+/ZtxhhjFy9eZACYkZERS09P5/JFR0czAEwgELBjx47xtmFnZ8cMDAx4adnZ2SL7ysnJYRYWFszS0rLCsvr6+jIAzM3NjUvbvn07A8Dmzp3Ly3vq1CkGgI0ZM4ZLE9bB0NCQV4ecnBymp6fHOnbsWOH+hVatWsUAMHd3d5FlZZuPxTWTLVy4kAFgmzdv5q23adMmBoB5eHhUuP7Hy2xtbVl+fj6X/vLlS1avXj32ww8/8PKbmpoyBwcHkTQA7PDhw7z0n3/+mQFgsbGxXNrw4cMZAHbt2jVe3hEjRjAAbNy4cSJllFRaWho7fPgwS0tLkyh/ZV2hyntJ0kVK2rIQQogkKusWVVZVu0VdvXqVHTt2jIWHh7OHDx+yS5cuseXLl7MFCxawu3fv8vK+efOGrV69ms2fP5/Nnz+frV69mr1584YxVtpFysfHR+y1QW3S1dXlfs8VFBTYsGHDuDJXJDU1lQFgI0aMELtcX1+fffvtt7y0K1euMAsLC945RENDQ2yXmOqobreoqh6T8iQlJTFtbW1mbm5e6ecvvE709/ev8v6qQpoyCknzeaanp7Phw4czeXl5Xv7x48eXu7+qdIuq0y0XZWeGKCoqQlZWFoqLi9GzZ08sW7YMt2/f5g3ScXV1hZaWFve+devW0NTU5O62l9WlSxds2LAB2dnZUFdXB8BvTsrNzcWHDx/AGEOPHj2wdetWZGZmQlNTU6ScoaGhmDFjBgYOHIh169Zx6UFBQZCTk4O7uzsv/4ABA2Bra4vg4GCUlJTwmnXHjx/Pq4Oqqio6duyImzdvSnTM9u/fDx0dHbF3zitrPg4KCoK+vj6mTJnCS//pp5/g5eWFoKAgqbrx/Pzzz7zPsFGjRrCwsEBcXJxE6xsZGWHEiBG8tB49esDX1xdxcXFo0aIFiouLcebMGXTo0EGkNeS3337D33//LXF5q0uaFouP0SBvQog0Hj16hFatWtV2MSTWpUsXkbR27drhzz//xKlTp2BjYwMlJSUAgL6+PmbPno03b96AMYaGDRtCXl4eKSkpuHTpElxdXaGoqIibN2/i1q1byM/Ph6WlJfr37w9FRcVPXTUAQGBgIPLy8pCUlIQjR47gw4cPyMrKgr6+foXrCbt4C+v+MWVlZV43cABQV1eHtbU1Bg8ejE6dOiEtLQ2bN2/GqFGjEBwcjF69esmmUtVU1WMiTm5uLpydnZGdnY0TJ05U+DkXFxfD398fmpqaGD58eHWqUGNlLEuaz1NRURGNGzeGs7MzBg0aBFVVVZw9exa7d++GvLy8RIPIJVGngwsA8PX1xdatW/Hw4UOUlJTwlr1//5733tzcXGR9HR0dmJiYiE0HgHfv3nHBxZs3b+Dh4YHg4GC8efNGZJ309HSR4CImJgYuLi6wtrbGwYMHeRfwCQkJMDIyEtuFxcrKCvfu3UNqaioaNGhQYR10dXV5Yx4yMjJEZvfQ19eHvLw84uLiYGtrW6Vmx4SEBLRr106kb62CggIsLCwQGRkp1fbKq8vH402kXR8Adzzevn2LnJwcsc2esmwKFfaLLM/q1auxYsWKau1j8eLF+PDhA+bOnVthGWjMBSFEQ0OjtotQbWpqarC3t8f58+fx/PlzWFhYcMvk5eVhaGjIvWeMITAwEG3atEHz5s0RHR2N06dPY9iwYdDS0sKRI0fAGIOTk5PMy1lcXIy3b9/y0lRUVHg3AstOpTt+/HiMHDkSnTt3xqNHjyrsxiocW5Kfny92eV5eHm/8SUxMDDp16oT169dj6tSpXPrIkSNhbW2NyZMn4+nTpyJjAWRJkuMBVP2YfCwvLw9OTk4IDw9HQEAAunbtWmH+s2fP4uXLl/jpp594x64q3r59yxsfJC8vLzY4kraMQtJ8niUlJejbty+Kiopw/fp1bpbNYcOGQVdXF6tWrYKLiwt69uxZrToDdTy4WLduHX777Tf07t0bM2fOhJGREerVq4ekpCS4urqKBBvl/TFV9EfGGOP+7d27N/7991+4ubmhXbt20NLSgry8PPz8/HDgwAGR/b1+/ZqbVu/UqVNckFIdkvwguLm5iQyMTkhI+OyeN1FeXYTHvKrrS7MNWbl9+3aFy6sbWJTdjq2tbYV5Pr6LRQj5+oi7afYlEl5kVva7duvWLaSmpmLs2LEAgPDwcFhbW3O/l46Ojjhx4gQGDx4s80HeL1684MZ/CI0bN443ecvHxo0bh0OHDiEwMBATJ04sN5+Ojg5UVFSQlJQksiw/Px+pqalwcHDg0tavX4+8vDyRO/KqqqoYMGAANm3ahMTERKmeQSKtqhwPYR5JjklZwov28+fPY9euXRgzZkyl6+zatQuAbAZyt2/fnndD1NTUFImJidUuo5A0n+e1a9dw9epVrFmzRmT6/uHDh2PVqlW4fPkyBReV2bt3L5o0aYKQkBDej0VoaKjM93X//n1ER0dj8eLF8PLy4i0TzjhQVm5uLgYNGoTU1FRcuXJFZGA2UHrnPTQ0FOnp6dDW1uYte/ToETQ1NaGnpyd1WefNmyfy5TUwMAAAWFhYIDY2Fvn5+eU2s5bH3Nwcjx8/RlFREa/1oqioCE+ePOG1JHwuz6XQ19eHmpoaHj9+LLJMXFpV2dvbi+0SJ+Tu7i6TAMPd3b3cJu3MzEzcvn272ndiCCFfvry8vGoNjP1cCGe9qujmXEZGBkJDQ+Hs7Mx1X87IyOA9H0NbWxtFRUXIzc2VyY2+sgwMDBAWFsZLq2wwubB3QVpaWoX55OTkuMlTPj5v37lzB4wxtGvXjksTBiHiZtsStmrXdOt2VY4HIPkxERJetJ87dw7bt2/nZqmsyJs3b3Dy5Em0adOGd9yqav/+/byeIioqKtUuY1nSfJ6f8rP//OZgkyF5eXkIBALeXeqioiKsXLmyRvYFiN4Rf/DggchUtIwxjBkzBhEREdi3bx/atm0rdptOTk4oKSkRKW9ISAiioqKqfIelVatW6NmzJ+8lPMmMHj0a79+/x7Jly0TWq+xuv5OTE96+fSsSTO3YsQNv377lPVlT+OMt6Y9ETZGXl0e/fv1w584dXL9+nbds7dq1MtuPpqYmdHR0yn398ccf8Pb2rtY+vL298ccff5S7D2FwI8spIQkhX6ZHjx7VdhHEysvLw5s3b5CTk8OlFRcXIy8vTyRveno6d8NEOBuUOMHBwTA1NeW16mpqavKmJX/9+jXk5eVr5OaLsrKyyDm3VatWyMnJQXZ2tkj+4uJibN68GQDQsWNHLr2wsBCxsbH477//ePlHjhyJ3NxckQed/fnnn1BQUICLiwuXJhxn83ErQXp6OoKDg6Gjo4NmzZpVq76VKe94AJDZMcnPz4ezszPOnTuHrVu3StwKsWfPHhQWFkrcMlKZzp078+pZdmyntGV8+vQpYmNjeWnSfJ7CvPv37xeZzle4fvv27aWuozh1+ipj2LBhcHd3R79+/TB06FBkZmbiwIEDNTJgy9LSElZWVvDx8UFubi5atGiBJ0+eYNu2bbCxsUFERASXd+vWrQgKCoKDgwNycnKwb98+3rY6deoEc3NzuLq6IiAgAKtWrUJiYiK6deuG+Ph4+Pr6omHDhvjjjz9kXg83NzecPHkSy5Ytw927d9G7d28oKyvj4cOHePz4Mc6fP1/uuvPmzcORI0cwffp0REZG4ptvvkFUVBR27dqFFi1aYN68eVze9u3bQ05ODsuXL8f79++hpqYGMzMz2Nvby7xOlVm2bBnOnj2Lvn374pdffoGxsTFOnz7N9Qn9VK0swsHYVRnULelTSwkhBACaN29erfUjIyO5cYs5OTkoKirChQsXAJR21bGzs+PyJicnc8GMsItIVFQU1z2kc+fO3A2uBw8e4OjRo/juu++4VtiCggKsWrUKVlZWaNCgAVRUVPD27VvcvXsXBQUF+OGHH8o9r8fExCA+Ph6zZs3ipdva2uLYsWM4efIktLS0cOHCBdja2n7S517ExcXBwcEBw4YNQ4sWLVC/fn0kJSXh4MGDePz4McaNG8fre5+UlARLS0s4ODjg0qVLXPrkyZPh5+eHX3/9FYmJibC0tMSZM2cQFBQEDw8PXpfnWbNmYc+ePViwYAFiYmLQuXNnpKWlYceOHUhOTsbmzZtrdLxFZWR1TEaPHo3Q0FD07NkTqqqqItdZrVu3RuvWrUX2v2vXLigrK1fYNSkxMRFmZmYi+5SWtGX87rvv8Pz5c96NXmk+zzZt2uD777/HsWPH0K5dO4wZM4Yb0H3y5El07NiR9xT76qjTwcXcuXPBGMOuXbvg5uYGAwMDuLi4YPz48TKfJUNeXh6nT5/GnDlzEBAQgJycHFhbWyMgIADR0dG84CIlJQUAcPnyZVy+fFlkW35+fjA3N4eioiLOnj2LZcuW4fDhwwgMDIS2tjaGDx+OZcuW1Uif2Xr16uHcuXNYu3YtDhw4gIULF0JZWRnNmzevtLlOS0sL169fx5IlS3DixAn4+fmhYcOGmDp1Kry8vHgDCBs3bozdu3dj1apVmDZtGgoLCzFu3LhaCS5atGiBK1euYM6cOfjrr7+grKyMgQMHYvPmzTA3NxdpxqxJVQkwKLAghEirugO67969i4SEBF6asKuLmZkZL7hISkoS6QYTHh7O/f+bb76psIuWoqIirK2t8eLFCzx8+BAFBQVQU1NDs2bN4ODgUO65MC8vDydOnECvXr1Qv3593rK2bdsiKysLt27dQmFhIaysrDBo0CDJKi8jxsbG+PHHH3H16lUEBQUhKysLWlpa+Oabb7Bo0SKJnk0FlJ63z58/Dw8PDxw8eBDv3r1D06ZNsXHjRkyfPp2X19TUFHfu3IG3tzcuXLiAQ4cOQUVFBba2tli7dq3IzJifmqyOifD7df78ebE3RZcsWSISXNy4cQOxsbEYNWpUhQPGs7KyAIDXra4qqlLGj0n7eR44cAB//vkn9u/fj8WLF6OkpASmpqZwd3fH77//LrPAUsA+9chWQr4QERERaNeuHVasWIEFCxZUaRvCKZA1NDSk6o4k6bS00gQWVS0LIaTuSUlJkeghXYRUlaenJ7y8vBAZGQkTExNoa2vXiXPPhg0bMGfOHDx48IA3Q1ld8+HDB+Tk5ODQoUOYMWMGLl68CEdHR4nWrdNjLgiR1MdT8zLG4OPjAwDVmvNbQUEBOjo6Uv+gLlq0qNIxGNK2WFS1LISQuqfseANCapKdnR309fVx69at2i6KTJw9exY//fRTnQ4sAOCvv/6Cvr4+ZsyYIfW61HJBCEq7RvXo0QM2NjbIycnByZMncfXqVbi4uODQoUO1Vq7yWjCoKxQhhJDP2bNnz/Ds2TPuffv27UWeZUE+X8+fP+c9tLht27YSP1+EggtCUDoY/eTJk3jx4gWKiopgZmaG0aNHY/78+bX2xFahjwMMCiwIIYQQ8rmi4IKQL8DSpUuxZMkSeHl5UWBBCKm2x48fo0WLFrVdDEJIHUTBBSGEEPKVef78eYXPhiCEkKqi4IIQQgghhBAiEzRbFCGEEPKV+fgJvYQQIisUXBBCCCFfmZiYmNouAiGkjqJuUYQQQshXJiMjg6YFJYTUCAouCCGEEEIIITJB3aIIIYSQr8zbt29ruwiEkDqKggtCCCHkK/Py5cvaLgIhpI6iblGEEEIIIYQQmaCWC0IIIYQQQohMUHBBCCGEfGXi4uJquwiEkDqKggtCCCHkK6OgoFDbRSCE1FE05oIQQgghhBAiE9RyQQghhHxliouLa7sIhJA6ioILQggh5CsTHR1d20UghNRRFFwQQgghXxkzM7PaLgIhpI6iMReEEEIIIYQQmaCWC0IIIeQr8+7du9ouAiGkjqLgghBCCPnKPH/+vLaLQAipo6hbFCGEEPKVYYxBIBDUdjEIIXUQtVzUoiZNmsDR0bHSNGn4+/tDIBDg0qVL1SqbOImJiRAIBPD09JT5tj+lS5cuQSAQwN/fv7aLQggh1bZ06VLIyclh6dKlEq9DgQUhpKZQcPEVuHfvHjw9PZGYmFjbRSGEECJDS5cuxeLFi8EYw+LFiyUOMJ4+fVqt/V68eBH79++Hj48PFixYgJUrV0q8bkhICBYsWIDFixdLtc+UlBQcPHgQK1euhIeHB1auXImDBw/i1atXvHz5+fkIDAzE0qVLsWzZMgQFBaGgoEBkew8ePMCiRYuQlpYmVTlk7fHjx3BycoKOjg7U1NTQtWtX/PPPPxKvf+fOHcycOROdO3eGurp6hTfPhDcJxb2sra1lVKNSnp6evO1fu3ZNptsnNef169e8z87V1VWq9Sm4+Mw8fvwY586dq/L6P/74Iz58+IBu3bpxaffu3YOXlxcFF/+vW7du+PDhA3788cfaLgohhFSZMLAoS5oAozrOnj2Lp0+fon79+lBRUZF4vVevXuHq1auoV6+eVPt79eoVNm3ahISEBLRr1w5DhgyBra0t4uLi4Ovri6SkJC5vSEgI7t27hy5duqBz586IiopCSEgIb3t5eXk4ceIEevfujfr160tVFll6+vQpOnXqhJs3b2LevHlYvXo1srOz0adPH5w/f16ibZw5cwabN29Geno62rRpI9E6zs7O2Lt3L+8lTYAojfXr12Pv3r1o0aKFxOt8yoBL6OXLl5gyZQoaN24MJSUlGBgYoF+/fnj06JHE+5XWmTNn0KlTJ6ipqaF+/foYPnw4EhISJF7/77//xvjx49GmTRsoKipCIBCUe60XEBCAPn36wNjYGMrKytDX18e3334Lf39/kYdqamtrc9+LqlCo0lqkxigpKVVrfXl5ecjLy8uoNHWTnJwclJWVa7sYhBBSZeICCyFh+qJFi8pdv2nTptXa/9y5c6Grqwug9OIxPz+/0nVKSkoQGBiIFi1aIC8vjxcQVObWrVsoLCzEtGnTYGRkxKU3bdoUu3btQmRkJBo1agQAePjwIbp27Yru3bsDAIqKinD37l0MGTKEWy8kJAQaGhro3LmzxGWoCe7u7khPT0dERARsbW0BAGPHjoWVlRWmT5+O2NjYSruwTZs2DXPnzoWamhqOHj2KGzduVLrf1q1bY8yYMbKoQqWcnJzQpEkTifMLAy4FBQXMmzcPWlpa2LFjB/r06YOQkBD07Nmz0m0IA66WLVuiTZs2lR6TqKgo9OzZExoaGpgwYQIaN26MtLQ0hIeH4+3btxKXXRqBgYEYNmwY2rRpg9WrVyMjIwN//vknOnfujPDwcN73vDy+vr64ffs22rRpg6ZNm+Lx48fl5o2MjISOjg6mT5+OBg0aIDs7G6dPn8b48eNx9epV7Nq1i8urrKzMfT+qciNWqpaLrKwseHh4wN7eHnp6elBSUkKzZs2wYMEC5ObmcvnK9mn39fVFixYtoKysDBsbG5w6dQoAEBMTg759+0JTUxO6urqYOXMmCgsLefu7c+cOXF1dYWFhAVVVVe6HICgoiJdPuL/yXmWj1ZycHLi7u6Np06ZcZDp27FiRmTPK1sHPzw9WVlZQUlKCqakpfHx8pDlsePHiBUaMGAEtLS1oampi0KBB5TZJlzfmYsuWLWjRogWUlJTQvHlzbNq0Sez4io/TPD09MX78eABA9+7dRZq4JP1Mq8LV1RUCgQDv3r2Dq6sr9PT0oKGhAScnJ7x+/RoAsH37dlhaWkJZWRktW7ZEcHAwbxsVjY8Qbr+shw8fYvjw4WjUqBH3+Xbv3h2nT5+udJuMMezYsQP29vZQV1eHuro6bGxspG66J4SQmlRRYCFUWQtGdedyEQYW0rh+/TpSUlIwePBgqdcVBi+ampq8dOH7si0hhYWFUFVV5d6rqKjwukUlJiYiPDwc33//PeTkaq8DR05ODk6cOAFHR0cusAAAdXV1TJo0CU+ePMHdu3cr3U7Dhg2hpqYm9f7z8vKqfZ6vCcKA6+zZs3B3d8fPP/+Mq1evwsjICNOnT5fouztt2jRkZmbi4cOHmD17doV58/LyMGLECDRu3Bj379+Hp6cnJkyYgDlz5uDQoUNwcHCQVdU4hYWFmDFjBkxMTHD16lX8/PPPcHd3x9mzZ5GSkiLx2NY9e/YgKysLt27dqjTo+uuvv3Do0CG4u7tj4sSJcHNzw7lz59C/f3/4+flx12WyIFXLRVJSEnbu3Invv/8eo0aNgoKCAi5fvgwfHx9ERUXh7NmzvPybN2/G+/fvMWnSJCgrK2PDhg1wdnbGkSNHMHnyZIwcORJOTk44d+4cNm7ciAYNGsDDw4NbPygoCLGxsRgxYgRMTU3x7t07BAQEYOjQodi/fz9GjRoFALC0tBTbdLNmzRpER0ejYcOGAEo/zD59+uD69esYNmwYfvvtN8TFxWHLli04d+4cwsPDYWxszNvG1q1bkZKSgokTJ0JbWxv79u3D/PnzYWxszO2/Iunp6ejWrRtevHiBqVOnolWrVrh8+TK6d++ODx8+SHTcV61ahQULFsDOzg4rVqxAbm4uVq9eDX19/UrXHTp0KJKTk7F9+3YsXLgQlpaWAP5310raz7Qq+vbtC2NjY3h7eyM+Pp77HgwdOhTbt2/HxIkTue/HsGHD8OTJkyo9Pfbdu3fo0aMHAGDq1KkwNTVFamoqwsPDcfv2bQwYMKDC9X/88Ufs378f9vb2+P3336GtrY3Y2FgcPXoU3t7eVao7IYTIkiSBhVBFLRhRUVGws7OTadkq8v79e4SFhaFnz57Q0dGRev3mzZsjOjoaf//9N3r27AktLS2kpaVxLRD29vZc3saNG+P27dvceeT27dswNTUFUNqKcezYMXTp0kWiO8M16f79+8jPz8e3334rsqxjx44AgLt376JDhw4y3/fatWvh7e0NxhiMjY0xfvx4/P7779XuPVFdlQVcixcvluiYCK/7JPH3338jPj4eJ06cgKamJhfI1uSxuHz5Ml69egVvb2+oq6tz6ba2tnB0dMThw4exefNmKCoqVridxo0bV7sspqamYIwhIyMDBgYG1d4eAIBJIT8/nxUUFIike3h4MADs9u3bjDHGLl68yAAwIyMjlp6ezuWLjo5mAJhAIGDHjh3jbcPOzo4ZGBjw0rKzs0X2lZOTwywsLJilpWWFZfX19WUAmJubG5e2fft2BoDNnTuXl/fUqVMMABszZgyXJqyDoaEhrw45OTlMT0+PdezYscL9C7m7uzMAbPfu3bx0Nzc3BoA5ODjw0k1NTXlp7969Y8rKyszGxoZ9+PCBS09OTmaampoMALt48SKX7ufnJ1GakKSfKWOMJSQkMABsyZIlEtV93LhxDAD7+eefeemzZ89mAJiJiQnLyMjg0oXfjwULFnBpws/Bz8+v3O0LBQcHMwDs8OHDFZZL3DYPHz7MfQeKi4t5+T9+TwghtcHb25sBkPrl7e0tsq3U1FSZlWvdunVsxYoVFebZvXs3W79+PSsqKmKMMbZ161a2aNEiifdRUlLCzp07xxYtWsTmz5/PvTZt2sQ7jzDG2Js3b9jq1au5PKtXr2Zv3rxhjDF27tw55uPjI/a896kdPXqUAWC+vr4iyx4+fMgAMHd3d6m2eeTIkXLPmYwx9vz5c9ajRw+2YcMGFhwczHbu3Ml69+7NALCePXtyn48sLFmyhAFgCQkJEq9z48YNBoD9/vvvIsvOnTvHALBNmzZJVY7KjomLiwsDwK5cucK6du3KBAIBA8BsbW1ZaGioVPuS1B9//MEAsLCwMJFlCxcuZADYgwcPpNrm9OnTJTre6enp7O3bt+zJkyds48aNTElJiVlYWJT72QNg48aNk6osUrUH1qtXj4uiioqK8P79e6SmpnJNMbdv3+bld3V1hZaWFve+devW0NTUhJGREYYOHcrL26VLF7x+/RrZ2dlcWtlmvtzcXLx79w65ubno0aMH/v33X2RmZootZ2hoKGbMmIGBAwdi3bp1XHpQUBDk5OTg7u7Oyz9gwADY2toiODgYJSUlvGXjx4/n1UFVVRUdO3ZEXFxc+QeqjOPHj6Nhw4YYO3YsL33+/PkSrR8WFoa8vDxMmzaNN07AwMAAo0ePlmgbFZH2M62KWbNm8d537doVQGm/0rJN3MLvh6TH9mPCzykkJKTc70Z59u/fD6C0tevjZvLabDYnhBBAuhaLj4nrIlWVbk1Vde/ePTx58gTOzs5VHhMoEAigoaGBJk2aYMiQIfjxxx/Rs2dPvHnzBnv27EFeXh6XV19fH7Nnz4abmxtmzpyJ2bNnQ19fHykpKbh06RKcnJygqKiImzdvYv369Vi5ciWCg4NFumbXNGGXJHF3yIXne1l3W2rcuDEuXLiAGTNmYPDgwZg4cSLOnj2LyZMn4/z58zh06JBM9yct4cxfwvEzZQnTpBmrIwnhOIXvv/8eWlpaOHToELZs2YLU1FT0799f4oH10qiNegp999130NfXh4WFBWbOnIlu3bohJCREpuN1pR7Q7evri61bt+Lhw4ciF+Lv37/nvTc3NxdZX0dHByYmJmLTgdKuLcImojdv3sDDwwPBwcF48+aNyDrp6eki/S9jYmLg4uICa2trHDx4kHdhmJCQACMjI7FNslZWVrh37x5SU1PRoEGDCuugq6uLd+/ece8zMjJEujjp6+tDXl4ez549Q/v27UU+NENDQ2hra4ts+2PCWQPEzbIgzcwLFZHmM/3Y27dvebMMyMvLi3TX+vgYCo+/uK5POjo6vGMrDQcHB4wdOxb+/v7Yv38/2rdvj549e8LFxQWtWrWqcN24uDgYGhpK1ZRKCCGfQnUCC6GPu0i9f/++St2TpJWbm4tTp06hXbt2XNekqjh79ixu3ryJ3377DRoaGgBKz9smJibw8/PD5cuX0adPHy6/vLw8DA0NufeMMQQGBqJNmzZcF6vTp09j2LBh0NLSwpEjR8AYg5OTU5XLWJ7i4mKRQcEqKircuBBxg+GFwVLZsSM16ffff8eOHTtw+vRpmdy4rKraCLiysrIAAC1btsSJEye4sZzfffcdWrVqhd9//12iQeTSqI16Cvn6+iIzMxPJyck4ffo0UlJSKr3Wk5ZUt2TXrVuH6dOnw9DQENu2bcPp06cRFhbGDYz9+MK0vCioouiI/f9AHcYYevfujYCAAIwbNw6HDx9GaGgowsLCuLEOH+/v9evXGDhwINTU1HDq1CleP7aqkiSSc3Nzg6GhIe/14sWLau/7U5D2M/1Y+/btefVu3769SB5pvweszGCtimbJKCoqEkkLCAhATEwMli9fDl1dXaxduxatW7fGpk2bKqwHIYR8rpYsWSLz7Ugz3WV1nD9/HgUFBejQoQNSU1O5V1FRERhjSE1NRXp6eoXbKC4uxtWrV9GkSRMusBASTnRSWX1u3bqF1NRUbuxdeHg4rK2tYWtrCzMzMzg6OiI8PLzSc15VvHjxQuQawc3NjRvzIe4OtTBN3J3tmmBiYgJ5eXmkpqbW+L6Ki4vx+vVr3isjIwMAaiXgEk6lPHbsWN41R/PmzdGpUyfcvXsXOTk5Um/3w4cPIvUU3oiuzcCyQ4cO6NmzJ3788UccOnQIHTt2RLdu3ar97JuypGq52Lt3L5o0aYKQkBBei0BoaKjMCiR0//59REdHY/HixfDy8uIt27lzp0j+3NxcDBo0CKmpqbhy5YrIwGyg9A56aGgo0tPTRVoNHj16BE1NTejp6Uld1nnz5olM6SYcFGNubo64uDgUFxfzLqaTk5Mr/UEFwE3f9vjxY26wslBFU46VVdEFenU/0/379/NabaSZ71wSwvnHxT3k6NmzZ2LXsba2hrW1NebOnYv09HTY29tjwYIFmD59ernHwsLCAsHBwUhJSaHWC0LIZ8XLy0sms9aVPZdK+jyE6kpPT0dBQQE2b94sdvmaNWvQsGHDCmf0ycnJ4YKRjzHGUFJSUmFQkJGRgdDQUDg7O3PdrTMyMngX7tra2igqKkJubq5MbkyWZWBggLCwMF6akZER9zyFmzdviqxz69YtAEC7du1kWpbyPHv2DMXFxZ/k/PfixQuRngvjxo2Dv79/rQRcxsbGePDggdjBzIaGhtxgZ2ln5Dp8+DA3W6eQn58fXF1defUUTrQj9KkDy3HjxmHlypXw9/eX2TNypAou5OXlIRAIeH/gRUVFNfLgFeGF+Mc/Jg8ePBCZipYxhjFjxiAiIgLHjh1D27ZtxW7TyckJZ86cwcqVK3llDgkJQVRUFMaMGVOl/vWtWrUqt9vNkCFDsHLlSuzZs4f3JVu1apVE2+7VqxeUlJSwZcsWjB8/nmsue/36NTdOoDLCH0pxF+jV/Uxreo5wMzMzKCgo4Pz58/j111+59Bs3bnA/vkJpaWnQ1tbmfYba2towMzNDXFwc8vLyyg1+Ro8ejeDgYMybNw9+fn68bTDGKp1nnBBCaoqwK1N1Agxvb2/erFGf6nlIDg4O+Oabb0TSw8LCkJaWBhcXF954woKCAqSnp0NZWZnr9qyurg5VVVUkJCQgLS2N99C7+/fvo7CwUOwNRaHg4GCYmpryZh/S1NTkTb35+vVryMvL18jdYmVl5XK71QwaNAiBgYGIjo7mAr7s7Gzs3LkTzZs3582KlJGRgeTkZOjp6VXpRihQ2vX84/E2JSUl3EydgwYNqtJ2pVFesAUANjY2nzzg6tChA0JDQ/Hy5UuRZS9fvoSCgkKVHrTYp08fkXpaWVkBANfL4+bNmyLfjVu3bkFTUxMWFhZS77MqhDeIZfmkeqmCi2HDhsHd3R39+vXD0KFDkZmZiQMHDlQ6VVZVWFpawsrKCj4+PsjNzUWLFi3w5MkTbNu2DTY2NoiIiODybt26FUFBQXBwcEBOTg727dvH21anTp1gbm4OV1dXBAQEYNWqVUhMTES3bt0QHx8PX19fNGzYEH/88YfM6zFv3jwcOHAAkydPRkREBKysrHDp0iXcvHlToh8HXV1dLFmyBAsXLkTnzp0xZswY5ObmYvv27bCwsEB4eHilF77t27eHnJwcli9fjvfv30NNTQ1mZmawt7f/pJ9pVairq8PV1RU7d+7EyJEj4ejoiLi4OPj5+aF169aIjo7m8u7Zswfr16+Hs7MzmjVrBkVFRVy+fBlnz57FiBEjKmxVGT58OFxcXLBnzx7ExcVh8ODB0NHRwZMnT3D27Fk8ePDgU1SXEELEqk6A8XFgAZR2i6rKlN9CkZGRXD9tYcvChQsXAJSOnRNOc1veOIsbN24gPT0dNjY2vPQXL15gx44dsLOzw4gRIwCUTqrRs2dPnDhxAps3b4a9vT20tLSQnJyMu3fvQk1NDd26dRO7n5iYGMTHx4tMLGJra4tjx47h5MmT0NLSwoULF2Bra/vJJ/BYsWIFLly4gN69e2P27NnQ1NTEjh07kJSUhNOnT/PO70FBQRg/fjyWLFnCew7C8+fPuen4Hz58CAA4efIkd7H8448/cp/D5MmTkZmZiU6dOsHExASpqak4duwYIiIiMGTIEAwbNqzG61xRsKWurv7JA65Ro0Zh+fLl2LlzJyZNmgQFhdJL4+joaNy8eRPfffddlR68K+wCJ46DgwMMDQ2xc+dOzJ49m7sJHB0djUuXLmH8+PG867Dk5GRkZGSgcePGVQqAi4qKkJGRIXYih40bNwL43/THsiBVcDF37lwwxrBr1y64ubnBwMAALi4uGD9+fKUDZqUlLy+P06dPY86cOQgICEBOTg6sra0REBCA6OhoXnCRkpICoHTe4MuXL4tsy8/PD+bm5lBUVMTZs2exbNkyHD58GIGBgdDW1sbw4cOxbNkysQPNq0tHRwdXr17Fr7/+ij179gAo/VJdvHgR3333nUTbcHd3h6amJv766y8sWLAAjRs35j6L8PDwSrsiNW7cGLt378aqVaswbdo0FBYWYty4cbC3t/+kn2lVrV+/HowxBAUFITg4GG3btsXJkyexfft2XnDh6OiIqKgonDp1CsnJyZCXl4eZmRnWrFmDX375pdL9HDhwAF27dsWuXbvg7e3NrT98+PCarB4hhEikKgGGuMACED9mTRp3794VGecgvEtrZmYm82dodOrUCRoaGrhx4wauX7+OwsJCqKmpoXXr1ujVq5fYCVLy8vJw4sQJ9OrVS+TOc9u2bbmHjxUWFsLKyuqT3LX/WLNmzXD9+nUsWLAAK1euREFBAezs7BAaGirxIOKEhASRzzgwMBCBgYEASmfjFAYXAwYMwN69e7F9+3akpaVBSUkJVlZW2Lx5M6ZOnfpZzI74qQOuFi1aYN68eVixYgUcHBzwww8/IC0tDRs2bICqqirWrFnDK5/wRvXFixfFPvRYEoqKivjrr7/g4uKCrl27ckHf+vXroa+vLzIcwN3dXew+r1y5gitXrgAoHUcEAJs2beL+HoQtUtnZ2TA2NoazszOsra3RsGFDvH79GsePH0d4eDi+++47iZ7dJjGpJq4ln5VffvmFAWDJycm1XRRCCCGfiKTPuxD3fAtCPpWqPOdC6NGjR2zw4MFMS0uLqaiosM6dO4t9JoTwOV4fP39L+Dyr8l7invu1bds21rp1a6akpMS0tbWZs7Oz2GdNDB06lAkEAhYbGyt1vT528uRJZm9vz1RUVJi2tjb7/vvvWXx8vEg+4XO9Pi638BiX9xLKz89nv/32G2vfvj3T1dVl8vLyTFtbm3Xu3Jlt2rSpwue+oArPuRD8/4rkM5aXlyfSJJecnIyWLVuicePGiImJqaWSEUIIqQ2VTU9bXosFIZ+Kp6cnvLy8EBkZCRMTE2hra3Ndjr5UJSUlaNCgAQYMGICAgIDaLk6NYYxxjwXQ19fnBtxL6sv+lL8Sly5dwty5czF06FAYGxsjMTERO3bsQHZ2do0MpieEEPJ5q6iLlCSBRVRUlNiB1oTImrCL3NWrV9GlS5daLk31REREIDc3F8uXL6/totSolJSUcseLSIJaLr4A8fHxmDNnDu7cuYN3795BWVkZ7dq1g7u7u8wf7EIIIeTL8XELhqQtFm/fvhV54CkhsvTs2TPelPHt27eHlpZWLZaISKqgoIAbywGUzuYlzThcCi4IIYSQL9jSpUuxZMkSeHl5UVcoQkito+CCEEII+cpkZGTQXWRCSI2o/TnHCCGEEPJJPX36tLaLQAipo6jlghBCCPnKFBYWfjYPSyWE1C0UXBBCCCGEEEJkgrpFEUIIIV+Z58+f13YRCCF1FAUXhBBCyFcmLy+vtotACKmjqFsUIYQQQgghRCao5YIQQgghhBAiExRcEEIIIV+Z6Ojo2i4CIaSOouCCEEII+coYGBjUdhEIIXUUjbkghBBCCCGEyAS1XBBCCCFfmaysrNouAiGkjqLgghBCCPnKxMXF1XYRCCF1FHWLIoQQQr4yeXl5UFZWru1iEELqIAouCCGEEEIIITJB3aIIIYSQr8yLFy9quwiEkDqKggtCCCHkK0MDugkhNYW6RRFCCCGEEEJkglouCCGEEEIIITJBwQUhhBDylYmJiantIhBC6igKLgghhJBKLF26FHJycli6dGltF0Um9PT0arsIhJA6ioIL8lkqKSmBp6cnzM3NoaCgAIFAwC07evQo2rRpAxUVFQgEAly6dAn+/v7c/wkhRJaWLl2KxYsXgzGGxYsX14kAw9DQsLaLQOo4T09PCAQC7nXt2rXaLhKRQsuWLbnPrkmTJlKtS8EF+SwFBATAy8sL3bt3x65du7B3714AwJMnTzBy5EhoaWlh06ZN2Lt3LywtLWu5tISQukoYWJRVFwKMnJycaq1/8eJF7N+/Hz4+PliwYAFWrlwp8bohISFYsGCByHGVxPPnzxEQEABvb294eHhg1apVOHjwIIqKirg8+fn5CAwMxNKlS7Fs2TIEBQWhoKBAZFsPHjzAokWLkJaWJnU5ZOnx48dwcnKCjo4O1NTU0LVrV/zzzz8Sr//xRXzZ15o1a0TyZ2dn448//oCNjQ00NDSgp6eHTp06wd/fHzUxx8/69euxd+9etGjRQuJ1qntMhE6fPo2ePXtCR0cHqqqqsLCwwC+//MLLExkZiTlz5sDOzg46OjrQ0dFB+/bt4evri8LCQqn3KY3bt2+jZ8+e0NDQgKamJvr27Yt79+5JvL6rq2u5n/3Ro0crXDc5ORk6Ojrlfk9Wr16NvXv3omXLltJWCwpSr0HIJxAWFgYtLS3s3LmT12px6dIlFBUV4c8//4SdnR2X/uOPP+KHH35AvXr1aqO4hJA6SFxgISRMX7Ro0acsksw8fvyY9xsqrbNnz0JVVRVGRkb48OGDxOu9evUKV69erdJvdXh4OI4dOwYTExM4OjpCRUUFmZmZSExMRElJCZcvJCQE9+7dQ/fu3QGUBkJycnIYMmQIlycvLw8nTpxA7969Ub9+fanLIitPnz5Fp06doKCggHnz5kFLSws7duxAnz59EBISgp49e0q8rfXr14t0d2vbti3vfUlJCfr164cbN25g3LhxmDFjBnJzc3Hw4EGMHz8e//77L1atWiWTugk5OTlJdedbVsfEy8sLnp6e6NOnD7y8vKCqqor//vsP9+/f5+Xz8fHB+fPn4eTkhMmTJ6O4uBinTp3C9OnTERwcjNDQUN51iKzcunULjo6OaNSoEby9vQEAmzZtQteuXXHjxg3Y2NhIvC3hDdiyOnToUOE6M2bM4AXlHxs0aBAAYOfOnUhMTJS4LAAARshnqHv37szU1FQk3cvLiwFgCQkJn7xMhJCvh7e3NwNQ6cvb27u2i1olubm51Vo/NTWV+/+6devYihUrKl2nuLiYbdy4kfn7+7OtW7eyRYsWSby/169fs4ULF7IjR46wkpKSCvMuW7aMnTt3jnt/7tw5tnz5cl6ewMBAtmHDBlZcXCxxGWrC8OHDmZycHIuKiuLSsrKyWOPGjZmFhUWldWWMsSVLlkh8Xrxx4wYDwGbNmsVLz8/PZ2ZmZkxLS0vKGsimXGXJ4piEhYVJ/Pd57do19uHDB5H00aNHMwDs5MmTUpVfUu3bt2caGhrs5cuXXNrLly+ZhoYG69Wrl0TbGDduHKvKpXxwcDCTk5NjPj4+DABbvXp1uXkdHBzEXo9VhLpFVUFWVhY8PDxgb28PPT09KCkpoVmzZliwYAFyc3O5fJcuXYJAIIC/vz98fX3RokULKCsrw8bGBqdOnQJQOmNH3759oampCV1dXcycOVOkGe7OnTtwdXWFhYUFVFVVoaGhgc6dOyMoKIiXT7i/8l7+/v5c3pycHLi7u6Np06ZQUlKCgYEBxo4di+fPn4vdpr+/P/z8/GBlZQUlJSWYmprCx8dH6mO3c+dO2NnZQUVFBVpaWujduzevH6ZwfxcvXsTz58+5sgub/pYsWQIAMDMz4/UDLG/MRUFBAXx8fGBrawtVVVVoaWmhXbt22LRpEy9fRkYG5s+fj2bNmkFJSQn6+voYOXIknj17JnUdCSFftopaLD72pXaRUlFRqdb6urq6Uq9z/fp1pKSkYPDgwVKve+XKFQBA//79IRAIUFBQgOLiYrF5CwsLoaqqyr1XUVHhdYtKTExEeHg4vv/+e8jJ1d5lUE5ODk6cOAFHR0fY2tpy6erq6pg0aRKePHmCu3fvSrXNzMzMCu9GZ2ZmAgCMjIx46fXq1YOenh7U1NSk2p+syeqY/PHHH2jQoAHc3d0BlHYFK9u6VVbnzp2hrKwsku7i4gKgtPucrMXHx+Pu3bsYPnw4GjVqxKU3atQIw4cPx/nz5/H69WuJt8cYQ2ZmZrl1LCsrKwvTp0/HtGnT0L59+yqVvzLULaoKkpKSsHPnTnz//fcYNWoUFBQUcPnyZfj4+CAqKgpnz57l5d+8eTPev3+PSZMmQVlZGRs2bICzszOOHDmCyZMnY+TIkXBycsK5c+ewceNGNGjQAB4eHtz6QUFBiI2NxYgRI2Bqaop3794hICAAQ4cOxf79+zFq1CgAgKWlpdimsTVr1iA6OhoNGzYEUPrD26dPH1y/fh3Dhg3Db7/9hri4OGzZsgXnzp1DeHg4jI2NedvYunUrUlJSMHHiRGhra2Pfvn2YP38+jI2Nuf1XZv78+fDx8UGHDh3wxx9/ICsrC9u3b0f37t0RHByM/v37c3VYvnw5UlNTsX79egBA06ZN0bNnTwQGBiIoKIhr/lVXVy93fwUFBejTpw8uXbqE3r17Y8yYMVBWVkZMTAwCAwO5fpcZGRno1KkT/vvvP0yYMAFWVlZITk6Gr68v7O3tER4eDlNTU4nqSAj5skkTWAh9iV2kkpKSeBc1Ne39+/cICwvj+r9L68mTJ9DX18ezZ88QEhKCd+/eQV5eHs2aNcOgQYN43YEaN26M27dvw8zMDEBpv3bhb3hRURGOHTuGLl26iFxgf2r3799Hfn4+vv32W5FlHTt2BADcvXu30u4tQq1bt0ZWVhbk5eXRoUMHLFq0CP369ePl6dChA7S1teHj44MmTZrA3t4eubm5CAgIQEREBLZu3Vr9ilWDLI5JTk4Orly5gv79+2PXrl3w9vbGq1evoKKigsGDB+Ovv/7irocq8vLlSwCQKK+0hAFSefXcvXs3IiIiMGDAAIm2p6WlhaysLNSrVw/dunXDsmXLYG9vLzavu7s7iouLsXz5ckRFRVW9EhWRui2FsPz8fFZQUCCS7uHhwQCw27dvM8YYu3jxIgPAjIyMWHp6OpcvOjqaAWACgYAdO3aMtw07OztmYGDAS8vOzhbZV05ODrOwsGCWlpYVltXX15cBYG5ublza9u3bGQA2d+5cXt5Tp04xAGzMmDFcmrAOhoaGvDrk5OQwPT091rFjxwr3LxQbG8sEAgHr3Lkzy8/P59KTkpKYlpYWMzU1ZUVFRVx6ec1w5TWz+vn5MQDs4sWLXNqqVasYAObu7i6ynbJN4TNnzmTKysrs3r17vDyJiYlMQ0ODjRs3TqI6EkK+bJJ2hSrv9SV1kXrw4IHMtiVJt6jdu3ez9evXc7/z0nSL+vDhA5s/fz7z8vJi7u7u7MSJEywmJoaFhYWx33//nS1dupRlZmZy+d+8ecNWr17N5s+fz+bPn89Wr17N3rx5wxgr7SLl4+Mj9hz+qR09epQBYL6+viLLHj58WO7562Pr169nU6ZMYf7+/iw4OJj5+PgwIyMjJhAImJ+fn0j+K1euMAsLC953V0NDgwUFBcmgVv9TlW5Rsjgm9+7dYwCYvr4+U1JSYkuWLGGBgYFs9uzZTE5OjllaWrKcnJwKt5GVlcV1E3v37p3E5ZfUmjVrGAB25swZkWWnT59mANi2bdsq3c78+fPZ7Nmz2b59+1hQUBDz9PRk2traTFFRkYWFhYnkv3nzJpOTk2OHDh1ijP3vGk/W3aKo5aIKyg5EKyoqQlZWFoqLi9GzZ08sW7YMt2/f5kXVrq6u0NLS4t63bt0ampqa0NDQwNChQ3nb7tKlCzZs2IDs7GzurnzZZsrc3Fx8+PABjDH06NEDW7duRWZmJjQ1NUXKGRoaihkzZmDgwIFYt24dlx4UFAQ5OTmuuVBowIABsLW1RXBwMEpKSnjNxePHj+fVQVVVFR07dsTNmzclOmbBwcFgjGHevHm842dkZITx48fjzz//RFRUFNq1ayfR9iSxf/9+6OjoiL0LKawbYwz79+9Ht27d0KhRI6SmpnJ51NTU0LFjR5w7d05mZSKEfJ6q0mLxsS+pBcPKyuqT7evevXt48uQJpk6dCnl5eanXz8/PB1B6/uvevTv69OkDALC2toa2tjaOHj2Ka9eucXfp9fX1MXv2bLx58waMMTRs2BDy8vJISUnBpUuX4OrqCkVFRdy8eRO3bt1Cfn4+LC0t0b9/fygqKsqu4pUQdqNWUlISWSbsplO2q3V5Zs2aJZI2YcIEWFtbY/bs2Rg2bBivlV9dXR3W1tYYPHgwOnXqhLS0NGzevBmjRo1CcHAwevXqVcUaVZ8sjklWVhYA4O3bt9ixYwcmTZoEAHB2doampia8vLwQEBCAadOmiV2/uLgYY8aMQUJCAg4cOFAjA/5l9dl/PEubk5MTRo0aBVtbW0ybNg1xcXHcssLCQkyePBm9evXiunzVFBpzUUW+vr5o3bo1lJSUUL9+fejr68PR0RFAafNvWebm5iLr6+jocE22H6cDwLt377i0N2/eYMqUKWjYsCHU1NSgp6cHfX19rvkyPT1dZDsxMTFwcXGBtbU1Dh48yAsUEhISYGRkJLZp2srKCllZWbyL7PLqoKuryytnRkYGXr9+zXsJ+8QmJCRw2xe3TwAyH98QFxeHli1biu1LKfT27Vu8e/cO586dg76+vsgrLCwMKSkpMi0XIeTzIxzP9blsp67Izc3FqVOn0K5duyp3L1VQ+N990I9nP/rmm28gJycncv6Ql5eHoaEhjIyMIC8vD8YYAgMD0aZNGzRv3hzR0dE4ffo0unfvDhcXFzx+/BinT5+uUvkqU1xcLHJuzMjI4MaFCIOnsvLy8gCAN3ZEGrq6upg6dSrS09Nx48YNLj0mJgadOnVCr169sHr1ajg7O2PixIm4du0aDAwMuNmSalJ5xwOATI6JcDyRnJwcfvzxR96ycePGAUC5z8QqKSnBhAkTEBwcjOXLl2PkyJGSV+wjBQUFIvXMzs7m1aEmPvvmzZtjxIgRiI+Px5MnT7j0VatWIT4+Hps3b67SdqVBwUUVrFu3DtOnT4ehoSG2bduG06dPIywsjBsw/fGAmvLu1FR0B4f9/1zTjDH07t0bAQEBGDduHA4fPozQ0FCEhYVxYx0+3t/r168xcOBAqKmp4dSpUxWOS5CUJHeb3NzcYGhoyHu9ePGi2vuuScLj3LNnT4SFhYl9fTyGhhBS93h5eX1W26lpDx8+/CT7OX/+PAoKCtChQwekpqZyr6KiIjDGkJqaKvYGWVmqqqpci4KGhgZvmby8PFRVVSudDvfWrVtITU3l+rCHh4fD2toatra2MDMzg6OjI8LDwyUaECutFy9eiJwb3dzcuDEfSUlJIusI06ozLkY44UnZm4Xr169HXl4ehg8fzsurqqqKAQMG4Pnz59JPOyql8o4HAJkcE+GYUR0dHZGWAeHDIz++CQyUXktNmjQJe/bswZIlS7Bw4UIpa8Z348YNkXoKnyfxqT/75ORkLF++HOPGjQNjDPHx8YiPj+f29e7dO8THx1f7+TdC1C2qCvbu3YsmTZogJCSE1yIQGhoq833dv38f0dHRWLx4schJa+fOnSL5c3NzMWjQIKSmpuLKlSsiA7OB0laI0NBQpKenQ1tbm7fs0aNH0NTUFJkrWxLz5s3DmDFjeGkGBgbcPoHSE1rTpk1F9lk2j6xYWFggNjYW+fn5YpsegdLmc21tbWRmZko1nzghpG4RdmWqTtcob2/vL6JLFABeN9ealJ6ejoKCgnLvlq5ZswYNGzbE7Nmzy92GQCCAsbExEhISkJGRgQYNGnDLioqKkJOTU+HsVRkZGQgNDYWzszPXzTgjI4N38aatrY2ioiLk5ubK5IZcWQYGBggLC+OlGRkZoXHjxlBSUhLbvfjWrVsAUK2uwsIuMWUHJAsvJsW1TghnmapotilZKO94AICNjU21j0nDhg3RuHFjvHjxArm5ubwWAOEg7bLfIeB/gYWfnx88PDzg6ekpdb0+1qZNG5F6Cq9zhLM03bx5k+u2JXTr1i0IBAKRVjppfPzZp6SkIC8vD9u2bcO2bdtE8q9cuRIrV67EkSNHMGzYsCrvV4iCiyqQl5eHQCDgPcmyqKhIqieUSrMvACJPzXzw4IHIVLSMMYwZMwYRERE4duxYuV9MJycnnDlzhvsyCYWEhCAqKgpjxoyp0vR8rVq1QqtWrcQuGzx4MObPn4/Vq1ejX79+3F2o5ORk+Pn5wdTUFN98843U+6zI6NGjMW/ePCxbtkxkqkjGGAQCAeTk5DB69Ghs3rwZR48eFftH9ebNG5EfIkJI3VOdAONLCiwAiL3xVBMcHBzE/raHhYUhLS0NLi4uvK6rBQUFSE9Ph7KyMm8s4TfffIOEhATcunWLN5Xt7du3wRir8CnCwcHBMDU15U1tqqmpyZvq8/Xr11wriKwpKyuXe/Nq0KBBCAwMRHR0NNq0aQOgdNrUnTt3onnz5rzxmxkZGUhOToaenh53A1AYXH0cLL548QJbtmyBrq4uOnXqxKW3atUK586dg7+/P+bNm8elp6enIzg4GDo6OmjWrJnM6i5ORcdDXV292scEKH2w7vLly7Ft2zZe4LplyxYApVMaCzHGMHnyZPj5+WHhwoUym1paR0en3Ho2a9YM7dq1w5EjR7B06VIuuHr16hWOHDmCHj16cDdnAXAtfoaGhtxnnZOTA3l5eZGu31FRUThy5AgsLS25m7lmZmY4cuSISDkePnwIT09PjB07FoMGDRI7e1VVUHBRBcOGDYO7uzv69euHoUOHIjMzEwcOHKiRgWCWlpawsrKCj48PcnNz0aJFCzx58gTbtm2DjY0NIiIiuLxbt25FUFAQHBwckJOTg3379vG21alTJ5ibm8PV1RUBAQFYtWoVEhMT0a1bN8THx8PX1xcNGzbEH3/8IfN6tGjRAnPnzoWPjw+6desGFxcXbira7Oxs7N+/v0oD/Sri5uaGkydPYtmyZbh79y569+4NZWVlPHz4EI8fP8b58+cBAMuXL8f169cxYsQIjBgxAh07dkS9evXw/PlznDlzBm3btuU9I4QQUndVJcD40gILAPjw4UO1nnURGRnJdS3JyclBUVERLly4AKD0okr49O/yxlncuHED6enpIk8hfvHiBXbs2AE7OzuMGDGCS2/Xrh0iIyNx48YN5ObmokmTJnj9+jXu3LmDhg0b8i6gy4qJiUF8fLzIoGdbW1scO3YMJ0+ehJaWFi5cuABbW9tP/tyLFStW4MKFC+jduzdmz54NTU1N7NixA0lJSTh9+jTvydBBQUEYP348lixZwt1Zz87OhpmZGZycnGBpaQkdHR08fvwYO3fuRHZ2Ng4ePMj7nGfNmoU9e/ZgwYIFiImJQefOnZGWloYdO3YgOTkZmzdvlvm5WFrVPSZAaU+KY8eOYc6cOXjy5AnatGmDa9euYf/+/ejRowdvQPPcuXOxe/dutGnTBpaWliLXTk2bNuVddHt6esLLywt+fn5wdXWtcj3/+usvdO/eHV27dsWMGTMAABs3bkRJSQnWrl3Ly7tp0yaRfcbFxaFfv35wcnJC8+bNoaamhujoaOzevRvy8vLYvn07t76WlpbYm6fCgMzGxkYmLRZCFFxUwdy5c8EYw65du+Dm5gYDAwO4uLhg/Pjx5d65ryp5eXmcPn0ac+bMQUBAAHJycmBtbY2AgABER0fzggvhwOPLly/j8uXLItvy8/ODubk5FBUVcfbsWSxbtgyHDx9GYGAgtLW1MXz4cCxbtgwmJiYyrYPQqlWr0KxZM/j6+mLBggWoV68e7O3tceDAAXTt2lXm+6tXrx7OnTuHtWvX4sCBA1i4cCGUlZXRvHlzjB8/nsunpaWF69evY+3atfj7778RHBwMBQUFGBsbo0uXLiJNloSQum3RokUoKSmRqGuEp6fnFxdYAMC///7LBQBVcffuXW6iDiFhFxAzM7NqbVscOTk5TJgwARcuXEB0dDRiYmKgpqYGe3t79OrVS2zX17y8PJw4cQK9evUSmfGnbdu2yMrKwq1bt1BYWAgrKysMGjRIpmWWRLNmzXD9+nUsWLAAK1euREFBAezs7BAaGipRV10VFRV8//33uH37No4fP47s7Gzo6emhZ8+emDdvnsjzIExNTXHnzh14e3vjwoULOHToEFRUVGBra4u1a9eKzGBZG6p7TIDSlqmrV69i0aJFCA4Oxq5du2BsbIyFCxdi0aJFvAAqPDwcABAdHS0yABwoHQReNrgQzkZV3efEdOrUCZcuXYKHhwc8PDwgEAjQqVMnHDlyhGuxqYiBgQF69uyJixcvYv/+/fjw4QMMDQ3h4uICd3f3ClvzapqAfdzfhhBCCCGVTk/7JbZYCJWd7pyQmiC8wx8ZGQkTExNoa2vzZv76UtnZ2UFDQ0PsTdy6JD09HUVFRRgyZAiSkpKkGuj/5X/KhBBCSA2oqIvUlxxYAKDAgnwywlasq1evokuXLrVcmup58+YNoqOjcfv27douSo3r2LEjHj9+DKD87o3loZYLQgghpAIft2B86YEFUDqZhnBaTkJqwrNnz3jPH2nfvv0nm6WMVN/Nmze5qWlVVFTQuXNnidel4IIQQgipxNKlS7FkyRJ4eXl98YEFUDrNeevWrWu7GISQOoiCC0IIIYQQQohM0BO6CSGEEEIIITJBwQUhhBDylfn3339ruwiEkDqKggtCCCHkK6OmplbbRSCE1FE05oIQQgghhBAiE9RyQQghhHxl8vPza7sIhJA6ioILQggh5Cvz8OHD2i4CIaSOom5RhBBCyFcmMzMTmpqatV0MQkgdRMEFIYQQQgghRCaoWxQhhBDylUlJSantIhBC6igKLgghhJCvTHJycm0XgRBSR1G3KEIIIYQQQohMUMsFIYQQQgghRCYouCCEEEK+Mo8fP67tIhBC6igKLgghhJCvjJKSUm0XgRBSR9GYC0IIIYQQQohMUMsFIYQQ8pUpLCys7SIQQuooCi4IIYSQr0xMTExtF4EQUkdRtyhCCCHkK5Oeng5tbe3aLgYhpA6i4IIQQgghhBAiE9QtihBCCPnKvH37traLQAipoyi4IIQQQiS0dOlSyMnJYenSpbVdlGp58eJFbReB1HGenp4QCATc69q1a7VdJCKFvn378j4/aVBwQb5o9+7dg6enJxITE2u7KISQOm7p0qVYvHgxGGNYvHjxFx1g2NnZVWv9ixcvYv/+/fDx8cGCBQuwcuVKidcNCQnBggULsHjxYqn2mZKSgoMHD2LlypXw8PDAypUrcfDgQbx69YqXLz8/H4GBgVi6dCmWLVuGoKAgFBQUiGzvwYMHWLRoEdLS0qQqh6w9fvwYTk5O0NHRgZqaGrp27Yp//vlH4vU/vogv+1qzZo3YddLS0jBnzhw0a9YMysrK0NfXR/fu3XH16lVZVYuzfv167N27Fy1atJB4nU95TCrKKxAIoKioKPF+pVUbn71Qbm4uzM3NIRAI8Msvv4gsnzdvHvbu3YuuXbtKXS8Fqdcg5DNy7949eHl5wdHREU2aNKnt4hBC6ihhYFGW8P2iRYtqo0i16uzZs1BVVYWRkRE+fPgg8XqvXr3C1atXUa9ePan29+rVK2zZsgUqKiro0KEDtLS08O7dO9y5cwcPHz7EtGnT0KhRIwClwcu9e/fQvXt3AKWBkJycHIYMGcJtLy8vDydOnEDv3r1Rv359qcoiS0+fPkWnTp2goKCAefPmQUtLCzt27ECfPn0QEhKCnj17Sryt9evXQ09Pj5fWtm1bkXzPnz+Ho6MjsrOzMXHiRFhYWCAjIwP3799HUlJStev0MScnJ6nOz5/6mAwdOhTNmjUTWff+/ftYvXo1Bg0aJPH+pFEbn31ZixcvrrB7ZI8ePQAA58+flzropOCCEEIIqYC4wELoSw0w4uLi0Lx58yqvP3fuXOjq6gIovbDJz8+vdJ2SkhIEBgaiRYsWyMvLk+pC9tatWygsLMS0adNgZGTEpTdt2hS7du1CZGQkF1w8fPgQXbt25YKLoqIi3L17lxdchISEQENDA507d5a4DDXB3d0d6enpiIiIgK2tLQBg7NixsLKywvTp0xEbGytxlxRJL+LHjBmDoqIi3L9/H4aGhtUofc341MekdevWaN26tUj6Tz/9BACYOHGiVOWXVG189kKRkZH4888/4ePjg99++60Kpa8YdYv6jGRlZcHDwwP29vbQ09ODkpISmjVrhgULFiA3N5fLd+nSJQgEAvj7+8PX1xctWrSAsrIybGxscOrUKQClc5j37dsXmpqa0NXVxcyZM0UemnTnzh24urrCwsICqqqq3A9tUFAQL59wf+W9/P39ubw5OTlwd3dH06ZNoaSkBAMDA4wdOxbPnz8Xu01/f3/4+fnBysoKSkpKMDU1hY+Pj0THy9PTE+PHjwcAdO/enSuPq6srlyc1NRXTp0+HiYkJ6tWrBxMTE0yfPh3v3r3j8gQFBUEgEGDHjh1i92NlZYVmzZqBJlYj5OtTUWAh9CV2kZKXl6/W+sLAQhrXr19HSkoKBg8eLPW6wuBFU1OTly58X7YlpLCwEKqqqtx7FRUVXreoxMREhIeH4/vvv4ecXO1dBuXk5ODEiRNwdHTkLi4BQF1dHZMmTcKTJ09w9+5dqbaZmZmJoqKicpdfuXIF165dw7x582BoaIjCwkLe9UVtq41jUl45Dh06BGNjY/Tt21eqdSXdfm3Vs7i4GJMnT0bfvn0xdOhQaYsuEQouPiNJSUnYuXMn2rVrh0WLFmHdunWws7ODj48PnJ2dRfJv3rwZ69atw/jx47Fy5Urk5OTA2dkZx48fR48ePWBhYQEfHx84ODhg48aNWLVqFW/9oKAgxMbGYsSIEfjrr7/w+++/Iy0tDUOHDsWBAwe4fJaWlti7d6/Iq02bNgCAhg0bAij9Qe/Tpw9WrlwJOzs7rF+/HiNHjsTff/8Ne3t7vHz5UqQOW7duhbe3N0aOHIm1a9fC0NAQ8+fP5+2/PEOHDsWUKVMAAAsXLuTKJbzbkJGRgU6dOmHLli3o06cP/vzzT/Tt2xdbtmxBly5dkJWVBQAYNGgQDAwMsHv3bpF93Lp1C48ePcKECROkHtBECPmySRJYCH1pAYa5ufkn3d/79+8RFhaGnj17QkdHR+r1ha0sf//9N/777z9kZGQgISEBx44dg4aGBuzt7bm8jRs3xu3bt/Hq1Su8evUKt2/fhqmpKYDSVoxjx46hS5cuvBaQ2nD//n3k5+fj22+/FVnWsWNHAJDqArN169bQ0tKCsrIyOnXqhJCQEJE8Z86cAVB6jAYNGgQVFRWoqanBwsIC+/btq2JNZKc2jok4R44cQWZmJlxdXasdiItTm/Vcv349YmNjsWnTJukLLilGPhv5+fmsoKBAJN3Dw4MBYLdv32aMMXbx4kUGgBkZGbH09HQuX3R0NAPABAIBO3bsGG8bdnZ2zMDAgJeWnZ0tsq+cnBxmYWHBLC0tKyyrr68vA8Dc3Ny4tO3btzMAbO7cuby8p06dYgDYmDFjuDRhHQwNDXl1yMnJYXp6eqxjx44V7l/Iz8+PAWAXL14UWbZw4UIGgG3evJmXvmnTJgaAeXh4cGnu7u4MAHv48CEv76RJk5i8vDxLSkqSqDyEkLrB29ubAZD65e3tXdtFl0hRUZHMtrVu3Tq2YsWKCvPs3r2brV+/ntvv1q1b2aJFiyTeR0lJCTt37hxbtGgRmz9/PvfatGkTy8jI4OV98+YNW716NZdn9erV7M2bN4wxxs6dO8d8fHzEnms/taNHjzIAzNfXV2TZw4cPGQDm7u5e6XbWr1/PpkyZwvz9/VlwcDDz8fFhRkZGTCAQMD8/P15eJycnBoDp6+uzTp06sX379rHdu3czKysrBoDt3r1bVtVjS5YsYQBYQkKCxOvUxjERp0uXLkwgELBnz55JXHZp1FY9nz17xlRVVdnKlSsZY4wlJCQwAGz69Onl7mPcuHFM2nCBgovPVGFhIUtLS2Nv375lly5dYgDYhg0bGGP/uzBfuHChyHqampqsUaNGIukzZ85kAFhWVpbY/eXk5LDU1FT29u1bNnXqVAZA5AdbKCQkhMnLy7OBAwey4uJiLr1fv35MTk6OpaWliaxja2vLNDQ0uPwV1WHgwIFMV1dX7L4/VlFwYWlpyfT19VlhYSEvvbCwkOnr6zMrKysu7dmzZ0wgELBff/2VS8vOzmYaGhps4MCBEpWFEFI3VDWw+JICjIiICJltq7LgIioqii1YsIAlJiZyadIGF4wxdvPmTbZr1y5248YN9uDBAxYWFsYWL17MNm7cyD58+MDLW1RUxF69esWSkpK4gOb169ds4cKF7MmTJ4wxxm7cuMGV/fjx45884NizZw8DwHbt2iWy7OnTpyI38KSRmprKDAwMmLa2Nu+8/9133zEAzNzcnOXn53PpaWlpTFtbmxkYGPDO69VRleCiNo7Jx2JjYxkA9t1331VpP5KorXr27t2bWVtbc9/1mgouqFvUZ8bX1xetW7eGkpIS6tevD319fTg6OgIobVYuS1yzto6ODszMzMSmA+CNNXjz5g2mTJmChg0bQk1NDXp6etDX18fWrVsBAOnp6SLbiYmJgYuLC6ytrXHw4EFef9WEhAQYGRmJbfK2srJCVlYWUlNTK62Drq4ur5wZGRl4/fo171VcXCyy3scSEhLQokULKCjw5y1QUFCAhYUFnj17xqWZmZmhZ8+e2Lt3Lzc25e+//0ZWVhYmTZpU6b4IIXWDNF2hyvMldJH6VLPr5ebm4tSpU2jXrh3XNakqzp49i9DQUAwfPhzffvstrKys0LNnT4waNQovX77E5cuXefnl5eVhaGgIIyMjyMvLgzGGwMBAtGnTBs2bN0d0dDROnz6N7t27w8XFBY8fP8bp06erW12xiouLRc5hGRkZ3LgQcYPh8/LyAIA3dkQaurq6mDp1KtLT03Hjxg0uXUVFBQAwcuRI3jgVHR0dDB48GK9fv8bjx4+rtE9JlXc8ANTKMfnYrl27AKDa5/7PrZ779u1DWFgYtmzZUqPT6wI05uKzsm7dOkyfPh2GhobYtm0bTp8+jbCwMG7AdElJCS9/ef0AK+ofyP5/UDJjDL1790ZAQADGjRuHw4cPIzQ0FGFhYRg1apTY/b1+/RoDBw6EmpoaTp06BXV19apWVaKyCrm5ucHQ0JD3qokHQE2ZMgVv377FiRMnAJT+wBgYGGDAgAEy3xch5PO0ZMmSz2o7NeVTTb96/vx5FBQUoEOHDkhNTeVeRUVFYIwhNTVV7I2ssoqLi3H16lU0adIEGhoavGUtWrSAkpISEhISKtzGrVu3kJqayv2eh4eHw9raGra2tjAzM4OjoyPCw8NFznuy8OLFC5FzmJubGzfmQ9ysWcI04QxYVSEMIMve1DM2NgYAGBgYiOQXzhz18Y1MWSvveAColWNSVlFREfbs2QNdXV2xY12l8TnVMz8/H7/++iv69+8PAwMDxMfHIz4+nptsJyMjA/Hx8ZX+LUqKpqL9jOzduxdNmjRBSEgIr0UgNDRU5vu6f/8+oqOjsXjxYnh5efGW7dy5UyR/bm4uBg0ahNTUVFy5coX7gSrL3NwcoaGhSE9Ph7a2Nm/Zo0ePoKmpKTIPsyTmzZuHMWPG8NKEP4wVDbI2NzfH48ePUVRUxGu9KCoqwpMnT0RaTYYMGYIGDRpg165dsLa2xvXr1zF//nyRlg9CSN3l5eVV7ZYL4XY+Z2lpaZ8kwEhPT0dBQQE2b94sdvmaNWvQsGFDzJ49u9xt5OTkcMHIxxhjKCkpqTAoyMjIQGhoKJydnaGmpsallb1409bWRlFREXJzc2Vy46wsAwMDhIWF8dKMjIzQuHFjKCkp4ebNmyLr3Lp1CwDQrl27Ku83Li4OwP8mXQGADh06YOvWrWInWBGmNWjQoMr7lER5xwMAbGxsPvkxKevkyZNISUmBm5sblJSUqrwf4POq54cPH/D27VucPn1abAvdvn37sG/fPqxevRpz5syp8n6F6KrpMyIvLw+BQMD7AS0qKpLqyafS7AuAyI/1gwcPRKaiZYxhzJgxiIiIwLFjx8p9MIuTkxPOnDmDlStX8socEhKCqKgojBkzpkrT/rVq1QqtWrUSu0x4EhD3hFUnJyf88ccf2LlzJ6ZOncql79ixA2/fvuVmlRJSVFSEq6sr1qxZw10Y1NT81oSQz5PweRXVCTC8vb0/++deJCYmfpLgwsHBAd98841IelhYGNLS0uDi4gJlZWUuvaCgAOnp6VBWVuammVVXV4eqqioSEhJEgqL79++jsLBQ7A0voeDgYJiamvKm/NTU1MTr16+5969fv4a8vHyVu6JURFlZudwHog0aNAiBgYGIjo7mZmDMzs7Gzp070bx5c3To0IHLm5GRgeTkZOjp6XE36oqKipCTkwMtLS3edl+8eIEtW7ZAV1cXnTp14tKdnJzg5uaGffv2wcPDgzuHJicn4/jx47CwsBD7QDlZquh4qKurf/JjUpawS5Qszv2fUz3V1NRw5MgRkXK8ffsWP//8M/r27YuJEyeKfd5HVVBw8RkZNmwY3N3d0a9fPwwdOhSZmZk4cOBAjfSNs7S0hJWVFXx8fJCbm4sWLVrgyZMn2LZtG2xsbBAREcHl3bp1K4KCguDg4ICcnByR6eo6deoEc3NzuLq6IiAgAKtWrUJiYiK6deuG+Ph4+Pr6omHDhvjjjz9kXo/27dtDTk4Oy5cvx/v376GmpgYzMzPY29tj3rx5OHLkCKZPn47IyEh88803iIqKwq5du9CiRQvMmzdPZHuTJ0/G6tWrcfDgQTg4OFTrIVOEkC9TdQKMLyGwAMC70K6KyMhIrvuMsGXhwoULAEr779vZ2QFAueMsbty4gfT0dNjY2PDSX7x4gR07dsDOzg4jRowAAMjJyaFnz544ceIENm/eDHt7e2hpaSE5ORl3796FmpoaunXrJnY/MTExiI+Px6xZs3jptra2OHbsGE6ePAktLS1cuHABtra2n/y5FytWrMCFCxfQu3dvzJ49G5qamtixYweSkpJw+vRpXut8UFAQxo8fjyVLlsDT0xNA6cWomZkZnJycYGlpCR0dHTx+/Bg7d+5EdnY2Dh48yI2zAEo/mzVr1uCnn35Cx44dMWHCBBQUFGDLli0oKCjAxo0bP2n9xfnUx0To1atXCA0NRYcOHUS+l2X5+/uL7PNzr6eioiKGDRsmUobExEQApQ+jFLe8qii4+IzMnTsXjDHs2rULbm5uMDAwgIuLC8aPH1/unfuqkpeXx+nTpzFnzhwEBAQgJycH1tbWCAgIQHR0NC+4SElJAQBcvnxZZNAcAPj5+cHc3ByKioo4e/Ysli1bhsOHDyMwMBDa2toYPnw4li1bBhMTE5nWASidq3v37t1YtWoVpk2bhsLCQowbN447+Vy/fh1LlizBiRMn4Ofnh4YNG2Lq1Knw8vIS6bsLAM2aNUP37t3xzz//UKsFIV+xqgQYX0pgAaDaF9F3794VGecg7AJiZmbGBRey0qlTJ2hoaODGjRu4fv06CgsLoaamhtatW6NXr14iXXGB0oGxJ06cQK9evURaadq2bYusrCzuyd9WVlYYNGiQTMssiWbNmuH69etYsGABVq5ciYKCAtjZ2SE0NLTcu95lqaio4Pvvv8ft27dx/PhxZGdnQ09PDz179sS8efN4d7+FpkyZAj09Pfj4+GDRokWQk5PDt99+iwMHDtT6E8uB2jkmQGnQUFxcXOlAbuEzsqozJgKovXp+CgImrhMjIV+x/v374+bNm3j16pXYuxuEkK+HpLNHfUmBBQA8e/bskz9Ij3xdPD094eXlhcjISJiYmEBbW7tOjGEcOnQoYmJi8OjRoxqfdak2ZWZmoqCgADNmzMChQ4fEjnkqz5f/KRMiQ/Hx8Th79ix+/vlnCiwIIRK1YHxpgQUgOhsgITVF2Ip19er/tXffYVFc79vA76VI72BBBaxoVFTsigH92iMK9qiIGDUxKkpMYovSbLHHSmwYsUQTsSTGggrG3nsvYFQURQTp9bx/+Nt9XXcpi4urcH+uiyvh7Jkzz8yu7DxzyhyFi4uLhqN5Pzk5OTh8+DDWrl1bqhMLAOjXrx/2799frG3Zc0EE4PTp07h58yaWLFmCmzdv4ubNmx9sHXgi+vjl14PxKSYWRB/CgwcP5J4n1axZM4XJx/TxunTpktySvUUZqiXF5IIIwNChQ7FhwwZUr14dc+fORa9evTQdEhF9ZN5NMJhYEBEpYnJBRERURMHBwfD390dgYOAnnVhcuHBB7ZOuiYgAJhdERERlTnx8fLEeakpEVBgmF0REREREpBYf9mkxREREpHHSB+AREakbkwsiIqIy5t0H4BERqQuHRREREZUxOTk5peKBZkT08WFyQUREREREasFhUURERGUMh0URUUlhckFERFTGZGdnazoEIiqlOCyKiIiIiIjUgj0XRERERESkFkwuiIiIyphLly5pOgQiKqWYXBAREZUxtra2mg6BiEopzrkgIiIiIiK1YM8FERFRGfP69WtNh0BEpRSTCyIiojLm3r17mg6BiEopDosiIiIqY7KyslCuXDlNh0FEpRCTCyIiIiIiUgsOiyIiIipj/vvvP02HQESlFJMLIiKiMiYtLU3TIRBRKcVhUUREREREpBbsuSAAQHR0NDw8PGBjYwOJRIKhQ4fK/vs2BwcHuLm5aSRGIqKyKjg4GFpaWggODtZ0KEREBdLRdAD0cRg6dCiuXLmCqVOnomLFiqhRowZ+++23D7b/S5cuYefOnRg6dCgcHBw+2H6VSUxMxOLFi+Hm5sZEiog0Ljg4GNOnTwcA2X+nTZv2Xm1euXIFTk5Oxd4+MjISsbGxePLkCRISEmBubo5JkyYVadu9e/fiyJEjKFeuHIKCglTa78OHDxEVFYWHDx8iKysLJiYmsLOzQ9++faGj8+aSJjMzE3v27MH169chkUhQr149fPHFFwqrY127dg1bt26Fn58fLC0tVYpDnW7fvo2JEyfiyJEjyMrKgrOzMwIDA9G+fftCtxVCYNOmTfj7779x7tw5xMbGwtraGo0aNcLUqVPRokULufp37tzBxo0bceDAAdy/fx8ZGRmoUaMG+vbti/Hjx8PIyEhtxxUQEIDAwEDZ70ePHoWLi4va2qeSpa+vj8zMTACAq6sroqKiirwtey4ImZmZOHr0KLy8vPD9999j8ODBaNWqFdLT07F69eoPEsOlS5cQGBiImJiYD7K/giQmJiIwMFClf0hERCXh7cRCavr06e/dg1G+fPn32n7//v24f/8+LC0tYWBgUOTtYmNjcfTo0WItg3vu3DmEhIQgNTUVbm5u6NmzJ5o2bYq0tDTk5eXJ6u3duxeXLl2Ci4sL2rRpg4sXL2Lv3r1ybWVkZGD37t3o1KmTRhOL+/fvo3Xr1jh58iR+/PFHzJs3DykpKejcuTMOHjxY6PaZmZnw8vLC7du3MWDAACxduhQjR47EhQsX0KpVK2zcuFGu/rp167Bo0SLUqFED06dPx7x58+Do6IiffvoJrVu3Rnp6utqPcdGiRQgLC4Ojo2ORt7l9+zY8PDxgYWEBIyMjtG3bFocPHy7StkIIbNy4EQMGDEDNmjVhaGgIOzs79OjRA6dPn1aoHxAQAIlEku+Prq5ukeNW1fscJwCcOXMGvr6+aNOmDYyNjSGRSLB+/fp868fHx+PHH39EnTp1YGhoiIoVK6J9+/bYtWuXQt3Q0FCEhYXB2tpa5eNizwUhLi4OQgiFP7D6+voaiqhwubm5yMzMhKGhoaZDISIqEcoSC6n37cGoWLFiseMCgB9++AFWVlYA3lw8Su9wFiQvLw/h4eFwdHRERkYGnjx5UuT9xcXFYceOHWjSpAl69+4NiUSSb93r16+jbdu2aNeuHQAgJycHZ8+eRc+ePWV19u7dCxMTE7Rp06bIMZSEyZMnIzExEefPn0ejRo0AAEOGDEG9evUwevRo3Lp1q8Bj1dHRQVRUFFxdXeXKR4wYgXr16mHChAkYOHAgtLTe3Evu06cPJk+eDDMzM1ndb775BrVq1cLMmTOxdu1ajBkzRq3H6OHhodKIBGnCpaOjgx9//BFmZmZYvXo1OnfujL1796JDhw4Fbi9NuBo1aoQBAwagWrVqePr0KUJCQtCqVSts2LABgwcPltXv1asXatasqdDOlStXMG/ePLi7uxc5dlW873ECwD///IPly5ejTp06aNiwIU6cOJFv3bS0NLRu3RqPHj3CiBEj4OTkhISEBKxfvx4eHh5YsWIFRo0aJav/5ZdfAgB++ukn1Q9OUJnm7e0tACj8REZGCgDC29tbrr69vb1wdXVVWnbp0iXxv//9TxgZGQkbGxvx3XffiezsbJGeni4mTJggbG1thZ6enmjbtq24ceOGbHt/f3+lMUj3HRoaKgCIiIgIERQUJKpXry50dHREaGioEEIojfPt7SIjI2VlL1++FOPHjxfVq1cXenp6wtLSUjg7O4u5c+cKIYTsuN/9sbe3f88zTURUdAEBAUr/Fr37ExAQUKz2k5OT1RbrwoULxezZswut9++//4qffvpJJCQkiJCQEDFt2rQi72Pbtm1iypQpIjU1VQghRGZmpsjJyVFa19/fXxw7dkz2+9GjR4W/v7/s9+joaDFlyhTx5MmTIu+/JKSkpAg9PT3Rvn17hdeCgoIEAHH69Olit9+rVy8BQDx9+rTQuleuXBEAxNdff13s/b1L+t0eHR2t0nZ9+/YVWlpa4uLFi7Ky5ORkYWdnJ2rXri3y8vIK3D47O1tERUUplD979kxYWVmJ8uXLi9zc3ELjGDlypAAg/v77b5XiL6r3PU4h3hxTSkqKEEKIP/74QwCQXRu9a/PmzQKAWLx4sVz5q1evhJGRkWjYsKHS7ZRd9xWGPRdl3Ndff41GjRrBz88Pnp6e6NWrFwCgbt26KrXz+PFjdOzYEf3790efPn1w4MABLFy4EDo6Orh+/TrS09MxadIkxMfHY/78+fDw8MDNmzehpaWFXr164enTp1i1ahWmTJki23eNGjXk9vH9998jOzsbI0aMgKmpqUpdrFJ9+/bFv//+i2+++QZOTk5IT0/HzZs3ERUVhR9++AF169bFokWLFM6HsbGxyvsiIiqO4OBgBAQEFKluQEAAtLS0VO7BuHPnDpydnYsRXfG8evUKERER6NChAywsLFTe/s6dO7CxscGDBw+wd+9evHz5Etra2qhZsybc3d3lhm7Y2dnh9OnTqFatGgDg9OnTsLe3B/CmF2P79u1wcXGBra2teg6umK5cuYLMzEy0atVK4bWWLVsCAM6ePYvmzZsXq/3Hjx+jXLlyMDc3L1JdAKhQoUKx9qUuqamp2L17N9zc3GQ9OcCb7+Dhw4dj+vTphZ4THR0dhZ4c4M2xubq6Ijw8HM+fPy+w9y41NRW///47qlSpgi5durzXMeXX/vseJ6Da+/X69WsAUPjcm5mZwcjISK3zbZhclHGtWrVCpUqV4OfnBycnJ7muQlXcv38f27ZtQ9++fQG86WZt0qSJrEvx4MGDsq5dKysrjBs3DhEREejcuTOcnJzQqlUrrFq1Ch07dsx3EnV6ejouXrxY7KFQSUlJOHz4MEaNGoWlS5cqrVOhQgV4eHi89/kgIiqOgoZC5ac4Q6Q+++wzlfbxvnbu3AlLS8tiTejNyMhAcnIycnNzsXnzZrRq1QrVqlXDs2fPEBUVhZCQEIwbNw4mJiYAAHd3d/z2229YsmQJAMDa2hrdu3cH8GYiel5eXpGGnJS02NhYAEDlypUVXpOWqTJ07G3//PMPzpw5Ay8vr0KHOOfm5iI4OBg6OjoYOHBgsfanLh9LwvXHH3/g9evX8PX1hba2drH2VZCSPk5l2rdvDx0dHUyePBlGRkZwcnLCq1evsGjRIiQmJmLq1Klq2xeTC1KLypUryxILKRcXF1y4cAFjx46VGzPatm1bAMDdu3fRuXPnIu9j1KhR7zXHwsDAAHp6ejh9+jRiYmI0vioVEdHbipNYSKmaYHzIOXWXLl3CnTt38M033xTrQk06nyMtLQ3t2rWTfW/Ur18f5ubm+PPPP3Hs2DF07doVAGBjYwM/Pz88f/4cQghUqFAB2traiIuLQ1RUFIYOHQpdXV2cPHkSp06dQmZmJurWrYtu3bqV6OTdd0kfZKinp6fwmvT9Kc7DDu/evQsvLy9UrlwZCxYsKLT++PHjcfLkScyaNatYIwLU6WNJuNauXQuJRIJhw4YVa1+FKcnjzE+tWrWwdetWjBs3Dl988YWsvEKFCjh8+LBa5x9xtShSC2n389ukXd/vviYtf/nypUr7qF27djGje6NcuXJYvHgxrl27hmrVqqFevXoYO3YsDh069F7tEhG9r/dJLKRUWUVKOgympKWlpeHvv/9G06ZNZUOTVCVdYhYAmjRpIvda48aNoaWlhQcPHsiVa2tro1KlSrC1tYW2tjaEEAgPD0fDhg1Rq1YtXL58GXv27EG7du3Qv39/3L59G3v27ClWfIXJzc3Fs2fP5H6SkpJkN8uUTYbPyMgAAJVvqEVHR+N///sfJBIJ9u7dCxsbmwLrT5s2DcuWLcPIkSMxefJklfZVEj6GhOv27ds4duwY2rdvr/TaRh1K6jgLY25uDicnJwQEBGDnzp1Yvnw5jIyM0LNnT1y+fFlt+2FyQWpR0N2o/F4TKj4cXtU/sjk5OQpl33zzDWJiYrB69Wo4Ozvjzz//RIcOHTBgwACV2iYiUid/f/8P2o50/HVJO3jwILKystC8eXPEx8fLfnJyciCEQHx8PBITEwtsw9DQUNajIB36JKWtrQ1DQ8NCl1A9deoU4uPjZXdsz507h/r166NRo0aoVq0a3NzccO7cObklbdXl0aNHqFSpktzPuHHjZGPfld2hlpYpu7Odn5iYGLRr1w4pKSmIiIhAgwYNCqwfEBCAGTNmwMfHByEhISoc0fvJL9kC8FEkXGvXrgUADB8+XKX9vOtDH2dh9u/fj44dO2Ls2LHw9/dHz5498e233+L48ePIycnB6NGj1bYvDouij0JBS+0VxtLSEgkJCQrl797JkqpUqRKGDx+O4cOHIzc3F15eXtiyZQsmTJiAZs2avVcsRETFERgY+N49F9J2iuJDzblITExEVlYWli9frvT1+fPno0KFCvDz88u3DYlEgipVqiA6OhpJSUlyz+jIyclBamqqbFlcZZKSkrBv3z54enrKJq0mJSXJXbibm5sjJycHaWlpal/Ao2LFioiIiJArs7W1hZ2dHfT09HDy5EmFbU6dOgUAaNq0aZH2ERMTAzc3NyQlJeHgwYNo3LhxgfWlD7jz9vbGmjVrPuj33qNHjxR6BLy9vbF+/foSTbgOHTpUaMKVk5ODDRs2wMrKCp6enkXejzIf8jiL4ueff4aRkZHCBPWKFSuibdu22Lt3L7Kysor1DJp3Mbmgj4L0j7myJKEwtWvXxsmTJ5GWlibL9F+9eoXQ0FC5etIuxrfvBmhra8PJyQlbtmyR7ft9YiEiKg7pXIn3STCCgoLe+8nd6ubq6qr0QjciIgIJCQno37+/3Pj3rKwsJCYmQl9fH6amprLyxo0bIzo6GqdOnUKPHj1k5adPn4YQAnXq1Mk3hl27dsHe3l5uVR5TU1M8e/ZM9vuzZ89kvSDqpq+vn+8Ecnd3d4SHh+Py5cto2LAhACAlJQVr1qxBrVq15Cb0JiUl4enTp7C2tpZbHevhw4do164dEhMTERERoTB07F1BQUEIDAyEl5cX1q1bJ3sGxoeSX7IFAA0aNNBYwgUAf/31F+Li4jBu3DilQ5ZU8aGOs6iePHmCvLw8CCEUksmcnBzk5uaqreeOyQV9FJo1awYtLS3MnDkTr169gpGREapVq4YWLVoUuu2YMWMwePBgtG/fHl5eXkhMTMTq1athb28v9+Vx584duLq6wtPTE/Xr14eFhQVu3ryJlStXolq1arKJ5lZWVqhZsyZ+//131KhRAxUqVICRkVGJPUiHiAh4vwRD1cTi2rVrqF+/vsr7kbpw4QJevXoF4M2ymjk5ObL5axYWFrJlbvObZ3HixAkkJiYq3El+9OiRbNhqv379ZOVNmzbFhQsXcOLECaSlpcHBwQHPnj3DmTNnUKFCBbRu3Vrpfq5evYp79+5h/PjxcuWNGjXC9u3b8ddff8HMzAyHDh1Co0aNPviF9uzZs3Ho0CF06tQJfn5+MDU1xerVq/HkyRPs2bNH7iJwx44d8PHxgb+/v2yp4uTkZLRr1w4xMTEYO3Ysbt++jdu3b8vto2PHjrIlS5cvXw5/f3/Y2dmhQ4cO2Lx5s1zdChUqoGPHjiV6zAUlW8bGxhpJuKSkQ6K++uqr4h6ezIc4TlV89tlnuHPnDv744w+5f1vR0dH4999/0aBBA7Ut9MDkgj4KdnZ2WLduHX7++WeMGjUK2dnZ8Pb2LlJyMWjQIMTGxmLZsmX47rvvUL16dUyfPh1aWlo4ffq0rF7VqlUxbNgwREZGYufOncjMzETlypUxYsQITJw4Ue6O1aZNm+Dn54cpU6YgLS0N9vb2TC6IqMQVJ8EoTo+FpaWlSvXfdfbsWURHR8uVSe/SVqtWTe3P0NDS0sKwYcNw6NAhXL58GVevXoWRkRFatGiBjh07Kr3LnJGRgd27d6Njx44Kx9ukSRMkJyfj1KlTyM7ORr169TTyN75mzZo4fvw4Jk2ahDlz5iArKwvOzs7Yt29fkZbLffnypex9yG+J9cjISFlycfbsWQDAf//9B29vb4W6rq6uJZ5cFOZDJ1xSsbGx2LdvH5o3b17g8Kn169cr7FMTxwm8SaLCwsIAvHkyPfCm90W6YIOXl5cswZ8yZQr27duHwYMHIyoqCo0aNcLjx4+xcuVKZGRkYNasWcU+FgUqPXKPiIiISlxJP6GbqKQV9wndQghx48YN0aNHD2FmZiYMDAxEmzZtREREhEK90NBQAUDhCeyF/buJjIxUaGvmzJkCgFi1alWBsS1ZsqRI9YrifY5TCCEiIyNVOs4LFy6I3r17i/LlywttbW1hbm4uOnfurPR8SBXnCd0SIVRcsoeIiIhKXGHL077PHIu356gRlQTppPELFy6gatWqMDc3l1tW+FPVq1cvXL16FTdu3Pigz0X50F6+fAkhBJydnVG9enVERUUVeVsuRUtERPQRmjZtGoKCgpS+9r6Tt2/dulXsbYlU4ezsDBsbG9lE5U9ZTk4ODh8+jDlz5pTqxAJ4s1qVjY0NHj16pPK27LkgIiL6iL3bg6GOVaHYc0El7cGDB3JLwjdr1gxmZmYajIhUERkZidzcXABvFmko6qR4gMkFERHRRy84OBj+/v4IDAz86JabJSJ6G5MLIiKiMiY2Nla25j4RkTpxzgUREVEZw4eEElFJYc8FERERERGpBXsuiIiIiIhILZhcEBERlTE3btzQdAhEVEoxuSAiIipjTE1NNR0CEZVSnHNBRERERERqwZ4LIiKiMiYjI0PTIRBRKcXkgoiIqIzhnAsiKikcFkVERFTGpKSkwNjYWNNhEFEpxOSCiIiIiIjUgsOiiIiIyphnz55pOgQiKqWYXBAREZUxz58/13QIRFRKcVgUERERERGpBXsuiIiIiIhILZhcEBERlTG3bt3SdAhEVEoxuSAiIipjDA0NNR0CEZVSnHNBRERERERqwZ4LIiKiMiYrK0vTIRBRKcXkgoiIqIy5du2apkMgolKKyQUREVEZERwcDC0tLWzfvl3ToRBRKcXk4hMSExMDiUSCgICAYrfh4OAANzc3tcVERESfhuDgYEyfPh1CCMyaNQvBwcGaDolKsYCAAEgkEtnPsWPHNB0SFdGpU6fk3jtVrzuZXNBHKyUlBYGBgejRoweqVKkCiURSaGL0zz//oHXr1jAyMoKlpSX69u2L6OhohXpubm6QSCTQ1dXFs2fPlLY1btw42T+sqKgoNRwREZFmSBOLt737uyoiIyOxadMmzJ07F5MmTcKcOXOKvO3evXsxadIklfcfFxeHLVu2YM6cOfjpp58wZ84cbNmyBbGxsXL1MjMzER4ejuDgYMyYMQM7duxQOsfk2rVrmDZtGhISElSKQ91u374NDw8PWFhYwMjICG3btsXhw4dLpI09e/agR48ecHBwgKGhISwsLODs7IzFixcjIyNDXYckZ9GiRQgLC4Ojo2ORtynt50SqqNcs6mhjwYIFcHNzQ6VKlaCnp4dKlSqhXbt22LFjh0LdmjVrIiwsDIsWLSrWcekUayvSCHt7e6Snp0NHp2y8bfHx8QgICECFChXQpEkTxMXFFVg/PDwcffr0QcOGDTFv3jwkJSVh8eLFaNOmDc6dOwdbW1u5+tLzGBYWhh9++EHutaysLGzatAn6+vol/seFiKgkKUss3tf+/fthaGgIW1tbpKenF3m72NhYHD16FOXKlVNpf7GxsVi5ciUMDAzQvHlzmJmZ4eXLlzhz5gyuX7+OUaNGoXLlygDeJC+XLl1Cu3btALxJhLS0tNCzZ09ZexkZGdi9ezc6deoES0tLlWJRp/v376N169bQ0dHBjz/+CDMzM6xevRqdO3fG3r170aFDB7W2cfXqVWhra+Orr75CpUqVkJ6ejqNHj8LPzw979uzBgQMHIJFI1HqMHh4ecHBwKHL9snBOANWvWd63jTNnzsDBwQHdunWDtbU1EhIS8Mcff6BXr14ICgrCtGnTZHWtra0xePBgxMTEwM/PT/WDE1Sm2NvbC1dXV02HUSQZGRni0aNHst+NjIzyjT0rK0vY2toKOzs7kZycLCu/ePGi0NLSEiNGjJCr7+rqKoyMjIS7u7uoW7euQnvbtm0TAMTAgQMFABEZGamWYyIi+pCCgoIEgHx/iis+Pl72/wsXLhSzZ88udJvc3FyxdOlSsX79ehESEiKmTZtW5P1t375dTJw4UTx58kSu/M6dO2LixIli9+7dsrIZM2aIAwcOyH4/cOCAmDlzptx24eHhYsmSJSI3N7fIMZSEvn37Ci0tLXHx4kVZWXJysrCzsxO1a9cWeXl5H6SNb7/9VgAQp0+fLs5hKOXv7y8AiOjoaJW2K83nRErVa5aSaiM7O1s4OTkJY2NjkZOTo/B6dHS0ACD8/f2LdmD/h8OilFi/fj0kEgkOHTqEoKAg2Nvbw8DAAC1atMCpU6cAAEeOHIGLiwuMjIxQqVIlpWNXd+7ciTZt2sDIyAjGxsZo06YNdu3aJVenRYsWqFChAnJychS2379/PyQSCRYvXgyg4DkXW7duhYuLC0xMTGBoaIgWLVrgzz//LPIxnzt3Dp6enrC2toaenh4cHR0xc+ZMhbjc3Nzg4OCA2NhYfPnll7CwsIChoSE6d+6MO3fuyNXNyMhAQEAAHB0dYWhoCHNzczRo0EChlyA/enp6qFKlSpHqHjlyBLGxsRg+fDiMjY1l5Y0aNYKbmxu2bt2K7Oxshe18fHxw8+ZNnD59Wq48NDQUDRs2ROPGjYu0fyKij01J9FhIWVlZqbzN8ePHERcXhx49eqi8bWZmJgDA1NRUrlz6+9s9IdnZ2XIPCTQwMJAbFhUTE4Nz586hd+/e0NLS3GVQamoqdu/eDTc3NzRq1EhWbmxsjOHDh+POnTs4e/ZsibcBvBkZAQCvXr0q1rGoS1k5J8W9ZlF3Gzo6OqhcuTJSU1MLrasKJhcFmDRpEnbu3Ilx48bB398fDx48QKdOnbBz50706tULbdu2xfz581GnTh1Mnz4dGzdulG27YsUKeHp6IiEhAdOnT5eN6/Tw8MCqVatk9by9vfH8+XPs27dPYf8bNmyAjo4OBg4cWGCcP/30EwYMGAATExMEBwdjzpw5MDQ0RN++fbF8+fJCj3PPnj1o06YN7ty5gwkTJmDJkiVo1aoVpk+fji+//FKhfmpqKj7//HNoa2tj1qxZGDNmDKKiotCzZ0/k5ubK6o0ePRqBgYFo2bIlFi1ahJkzZ+J///ufyuMmi0L6h6JVq1YKr7Vs2RKvX79WSH4AoHv37ihfvjzWrVsnK3vy5AkOHDiAYcOGqT1OIqIPoSQTi+J49eoVIiIi0KFDB1hYWKi8fa1atQAA27Ztw3///YekpCRER0dj+/btMDExQYsWLWR17ezscPr0acTGxiI2NhanT5+WXSjm5ORg+/btcHFxKdKwk5J05coVZGZm5vu9BaDQi+DitpGcnIz4+Hg8ePAAYWFh+Pnnn2FlZSV3HjWhrJyT4l6zqKONhIQEvHjxAjdv3kRQUBD27duHdu3aQV9fvziHolTZGLxfTLm5uTh16pTsjshnn32Gnj17om/fvjh58iSaNm0KAPjqq69gb2+P5cuXY/DgwXj16hV+/PFH1KhRA6dPn5bdWRk1ahQaN26MCRMmoF+/fjA3N8eAAQPg5+eHDRs2oHv37rJ9JycnY+fOnejatSvKly+fb4wXLlzAzJkzMXnyZMyaNUtW7uvrCw8PD0yePBlDhgyBiYmJ0u0zMjLw1VdfoUWLFjh8+LBsHsLXX3+Nhg0b4rvvvkNUVJTcROr4+Hj88MMP+PHHH2VlNjY2+PHHH3Hw4EF07twZALBjxw507doVv/32myqnvVikE/qkY27fJi178uQJ6tWrJ/earq4uBg8ejLVr12Lx4sUwMDDAb7/9Bm1tbQwaNAihoaElHjsRkTp9bIkF8KYn39LSEi4uLsXavkmTJnj16hWOHj2KFStWyMqrVq2KsWPHyvVouLu747fffsOSJUsAvBk/Lv1+jYyMRF5eXpHG7Ze0on5vlUQbPj4+cssRt2jRAsuXL4e5uXnRgi8hZeWcFPeaRR1t1K5dGy9fvgTwpueid+/ecv+m1IE9FwUYNWqUXFdr27ZtAbz5wEkTC+BNd2zz5s1x9+5dAEBERARSU1Ph6+sr9wfP1NQUvr6+SElJwcGDBwEAlpaWcHd3x19//YXExERZ3T///BNpaWnw9vYuMMZNmzZBIpHA29sb8fHxcj89evRAcnIyTp48me/2ERERiIuLg4+PDxITE+W279atGwDgwIEDcttoaWnB19dXrqx9+/YAIDsHAGBmZobr169/kIc1paWlAXgzlOpd0mxcWuddw4YNQ1JSEsLDwwG8GRbXs2fPYnX7ExFp0seYWFy6dAl37tyBp6cntLW1i9WGRCKBiYkJHBwc0LNnT3h5eaFDhw54/vw5NmzYILfwho2NDfz8/DBu3Dj4+vrCz88PNjY2iIuLQ1RUFDw8PKCrq4uTJ09i0aJFmDNnDnbt2qXWYSFF8T7fW+/bhr+/PyIiIrB582aMGDECAGQXnJpUVs6JJo8zPDwc+/fvx7p169CxY0ekp6cjOTlZtQMoBHsuClC9enW536VdudWqVVOoa2FhIfsQSpcAU5ZxSssePHggK/P29sb27duxbds2jBw5EsCbIVEWFhZwd3cvMMabN29CCIE6derkW6egVZZu3rwJAAUOAXp3e1tbW4XuM+mF+Nv/EBcvXgwvLy80aNAA1atXR7t27eDu7g53d3fZONeEhASFJQIrVqyYbyz5kY6vlY7LfZv0S+ftMbhvq1evHpo1a4bQ0FDY2dnh7t27+OWXX1SOgYhI0/z9/TUdgpy0tDT8/fffaNq0qWxoUnHs378fJ0+exIQJE2Q98fXq1UPVqlURGhqKI0eOyHrNAUBbWxuVKlWS/S6EQHh4OBo2bIhatWrh8uXL2LNnD/r06QMzMzP88ccfEELAw8Oj2DHmJzc3Fy9evJArMzAweK/vLanittGgQQM0aNAAAPDll1/i119/RdeuXfHvv/+iTZs2hR3Se8nvfJiZmZWqc5Keno6kpCS5MjMzM42/959//rns/318fPDll1+iTZs2uHHjRrGGLCrDnosC5HeHpbh3XvLTtWtX2NjYYMOGDQCA//77D0eOHMGAAQMKXa5PCAGJRIJ9+/YhIiJC6U9B3b9CCADAvHnz8t1+woQJctsUdPzS9gCgZ8+eiImJQVhYGNq3b49Dhw7Bw8MDbm5usoSiV69eqFSpktxPcUjHzirr6pSWKes6lBo2bBgOHz6MwMBAVK5cWe5LiojoUxEYGKjpEOQcPHgQWVlZaN68uVzPeE5ODoQQiI+Pl+u1VyY3NxdHjx6Fg4ODwhBfR0dH6OnpFfpsgFOnTiE+Ph5ffPEFgDeLmNSvXx+NGjVCtWrV4ObmhnPnziEvL++9jleZR48eKXzPjRs37r2/t4D3/+6TGjx4MAAgJCSk0LrvK7/zAajneD6Wc7J161aF49y6davaYlTXcXp7e+PZs2ey0RvqwJ6LEiDt8bh+/Tr+97//yb1248YNuToAZJO2f/nlFzx48ABbtmyBEKLQIVHAm0lu+/btg52dHerWratyrNJJckZGRiUyBtXS0hKDBw/G4MGDIYTApEmTMHfuXOzatQt9+/bFggUL1LISQ7NmzQAAJ0+eVDiOU6dOwdTUFLVr1853+y+//BLfffcdDh06hClTpmh0BREiouKSrlX/sQyNSkxMRFZWVr6Li8yfPx8VKlQocC391NRUWTLyLiEE8vLyCkwKkpKSsG/fPnh6esLIyEhW9vaFl7m5OXJycpCWlia38o46VKxYEREREXJltra2sLOzg56entKhy9KVKd8egq1MgwYN3rsN4M2znfLy8j7IAwXzOx+Aeo7nYzknnTt3VjhO6eiV971mUVcbAGTPqVHne8/kogR07NgRRkZGWLp0KXx8fGR3WpKTk7F06VIYGxujY8eOctt4e3vjl19+wYYNG/D777/D0dGxSCsUeHl5YenSpZgyZQr+/PNPhV6FuLg4VKhQId/tO3fujPLly2POnDno37+/wsOE0tPTkZOTk++E8Pzk5uYiOTlZbiKURCKRLe0q/RA3adJEpXbz4+rqikqVKmHNmjXw8/OTfTlcvnwZUVFR8PHxga6ubr7bm5mZISQkBA8ePOAqUUT0SfuYEgxXV1elS3pHREQgISEB/fv3lxtmm5WVhcTEROjr68vmLBobG8PQ0BDR0dFISEiQ+566cuUKsrOzC1y2fNeuXbC3t5dbltTU1BTPnj2T/f7s2TNoa2sXOhSlOPT19fO9eefu7o7w8HBcvnwZDRs2BACkpKRgzZo1qFWrFpo3by6rm5SUhKdPn8La2hrW1tYA3pwbVdp49uyZ0qHH0snv0tWUSlJB50PV4/mYz0lBozFUvWZ5+vQpkpKSYGdnJ/uMqtJGamoqhBAKiXNubq4s8Vfne8/kogSYm5tj7ty5GD16NFq0aIGhQ4cCeDNR+N69e/j1119hZmYmt03jxo3RoEEDLFq0CK9fv5Zb+akgzZo1Q0BAAAICAtCoUSP07dsXtra2ePr0Kc6fP49//vlHYU7D24yMjLBhwwZ4eHjA0dERw4YNQ82aNZGYmIhbt24hPDwcO3bskFstqiiSk5NRqVIl9OjRA40bN0b58uURHR2NlStXFmkuidSyZctkXebZ2dl4+PAhZsyYAQBo2LChrB1dXV388ssv6N+/P9q2bYsRI0bg9evXWLRoEWxsbIo0VGDIkCEqHSMR0ceqpBOMCxcuyHqdpT0Lhw4dAvBmDqKzszMA5DvP4sSJE0hMTJSNcZd69OgRVq9eDWdnZ/Tr1w/Am0VEOnTogN27d2P58uVo0aIFzMzM8PTpU5w9exZGRkZy48jfdvXqVdy7dw/jx4+XK2/UqBG2b9+Ov/76C2ZmZjh06BAaNWr0wXutZ8+ejUOHDqFTp07w8/ODqakpVq9ejSdPnmDPnj1yT4besWMHfHx84O/vL/e8K1XaqF+/PlxcXODs7IzKlSsjPj4eEREROHToEBo0aKBwnjThYz8nQ4cOxW+//YbIyEiVr42kVL1mmTx5ssI+VWnj7t27cHV1RZ8+feDo6AhLS0s8efIEW7Zswe3bt+Ht7S1btEgdmFyUkG+//RaVKlXCvHnzZG9ww4YNsWPHjnwnjHl7e+P777+HlpaWbKxfUfj7+6Np06ZYsmQJFi9ejNTUVJQvXx7169eXZd4F6dy5M86ePYs5c+Zg48aNePHiBSwsLFCjRg189913cHJyKnIsUoaGhhg/fjwOHTqEgwcPIiUlRZZsTJ48ucjri8+fPx8PHz6U/R4TEyP70vT29pZLUvr27QsDAwPMmDED33//PfT09PC///0PP//8c5HGHRIRlSYlmWCcPXtWYZ6DdAhItWrVZMmFurRu3RomJiY4ceIEjh8/juzsbBgZGcHJyQkdO3ZUulxoRkYGdu/ejY4dOyr0yjdp0gTJyck4deoUsrOzUa9evSLf9FKnmjVr4vjx45g0aRLmzJmDrKwsODs7Y9++fUUeqqxKG+PGjcOBAwewfPlyJCQkwMDAAI6Ojpg1axZ8fX1lw8Y06WM/J8nJyZBIJMWeIyqljmuWorZRpUoVeHl54ejRo9ixYweSk5NhZmaGxo0bY9q0aYU+T01VEqFsECMRERGVCgUtT8tLACopAQEBCAwMxIULF1C1alWYm5vLnqX1qcrLy0P58uXxxRdffJBneGlKTk4OEhMT8ejRIzg7Oyv0DBWGs1aJiIhKsWnTpiEoKEjTYVAZ5ezsDBsbG9lk6k/Z+fPnkZaWhpkzZ2o6lBJ17tw52NjYFLsHkj0XREREZcC7PRhBQUGyoVNE6vbgwQO5Z3o1a9ZMYb4pfZxev36NM2fOyH6vXr26wrPfCsLkgoiIqIwIDg6Gv78/xo0bh0WLFmk6HCIqhZhcEBERERGRWnDOBRERURlTEk+iJiICmFwQERGVOZcuXdJ0CERUSjG5ICIiKmMcHBw0HQIRlVKcc0FERERERGrBngsiIqIyJiEhQdMhEFEpxeSCiIiojImJidF0CERUSnFYFBERURmTm5sLbW1tTYdBRKUQkwsiIiIiIlILDosiIiIqYx48eKDpEIiolGJyQUREVMbk5uZqOgQiKqU4LIqIiIiIiNSCPRdERERERKQWTC6IiIjKmAsXLmg6BCIqpZhcEBERlTFVq1bVdAhEVEpxzgUREREREakFey6IiIjKmMTERE2HQESlFJMLIiKiMobPuSCiksJhUURERGVMdnY2dHV1NR0GEZVCTC6IiIiIiEgtOCyKiIiojImJidF0CERUSjG5KGNWrFiBOnXqQE9PDxKJBDExMQgICJD9v9T69eshkUgQFRWlsVg/pJiYGEgkEgQEBMiVSyQSDB06VCMxERGpS3BwMLS0tBAcHAwAyMzM1HBEVNpJry2kP8eOHdN0SFREv//+u9x7t379epW2Z3JRyixevDjfD0FkZCRGjx6NOnXqICQkBGFhYbCxsfmwARIR0QcVHByM6dOnQwiB6dOnIzg4GI6Oju/VZmRkJDZt2oS5c+di0qRJmDNnTpG33bt3LyZNmoTp06ertM+4uDhs2bIFc+bMwU8//YQ5c+Zgy5YtiI2NlauXmZmJ8PBwBAcHY8aMGdixYweysrIU2rt27RqmTZuGhIQEleJQt9u3b8PDwwMWFhYwMjJC27Ztcfjw4RJpIyoqSu6i8e2f7t27q+uQ5CxatAhhYWEqfeY+5DmRunHjBgYOHIhKlSpBT08PVapUgaenJ+Li4lTaryo2bNiAxo0bw8DAABUqVMDw4cPx4sWLD9LGxIkTIZFIYGxsrPBaq1atEBYWhilTpqgUi5ROsbaij9bixYvh4OCg9G57REQEAGDdunWwtLQssB0vLy8MGDAA5cqVK4kwiYjoA5AmFm+T/j5t2rRit7t//34YGhrC1tYW6enpRd4uNjYWR48eVfm7JTY2FitXroSBgQGaN28OMzMzvHz5EmfOnMH169cxatQoVK5cGcCb5OXSpUto164dgDeJkJaWFnr27ClrLyMjA7t370anTp0K/T4sSffv30fr1q2ho6ODH3/8EWZmZli9ejU6d+6MvXv3okOHDiXSxsiRI9G2bVu5sipVqqjtuN7m4eEBBweHItfXxDnZv38/PDw8UKNGDfj6+qJChQp4/vw5Tp48idevX6NChQqqHnahFi1ahO+++w6urq745Zdf8PjxYyxcuBAnT57EmTNnYGRkVGJtXLp0CQsXLoSxsTGUTb22t7eHvb09oqKiMGvWLNUPTlCpYm9vL1xdXZW+5uPjI5S95f7+/gKAiI6OLtngPmLR0dECgPD395crByC8vb01EhMR0fsICgoSAPL9CQoKKnbb8fHxsv9fuHChmD17dqHb5ObmiqVLl4r169eLkJAQMW3atCLvb/v27WLixIniyZMncuV37twREydOFLt375aVzZgxQxw4cED2+4EDB8TMmTPltgsPDxdLliwRubm5RY6hJPTt21doaWmJixcvysqSk5OFnZ2dqF27tsjLy1NrG5GRkQKACA0NVeNRKFfca4sPfU7i4uKEpaWl6NKli8jKylIp1uJ68eKFMDQ0FM2aNRM5OTmy8t27dwsACp9XdbaRk5MjmjZtKtzd3YWrq6swMjLKdx/F/bxwWJSGSOc0HD58GPPnz0eNGjWgp6eH2rVr47ffflOof/DgQXTq1Anm5ubQ19eHk5MTQkJC5OpIJBI8fPgQR44ckevqlM4nCA0NldWTSCRwc3MrND7pnIucnBy0adMGRkZGuHXrllzdVatWQSKRFKmLOy8vD4sXL4aTkxNMTExgamoKR0dHfPXVV8jOzpbVc3BwgJubGy5fvowOHTrA2NgY5cuXx4QJE5CTk4OMjAx8//33qFy5MvT19fH555/j5s2bcvtKTk7GTz/9hBYtWsDa2hp6enqoWbMmJk2ahLS0tEJjJSL6VCnrsXiXqsOS3mZlZaXyNsePH0dcXBx69Oih8rbSOSKmpqZy5dLf3+4Jyc7OhqGhoex3AwMDuWFRMTExOHfuHHr37g0tLc1dBqWmpmL37t1wc3NDo0aNZOXGxsYYPnw47ty5g7Nnz5ZYG6mpqcjIyFDHoaiNJs5JSEgIEhISMHfuXOjq6iItLU3ueqQk7Ny5E2lpaRg7diy0tbVl5e7u7qhevTo2btxYYm0sWbIEN27cwNKlS9//QPLB5ELDpkyZgrCwMHz99deYO3cutLS0MHToUBw/flxWZ9WqVejUqRNSUlIwdepULFy4EDVq1MCoUaPwww8/yOqFhYXB2toaderUQVhYmOzHxsYGYWFhsi5QafnUqVOLHKeOjg42b96McuXKYcCAAbI/9NevX8f48ePh4uICf3//QtuZOXMm/Pz84ODggJ9//hnz5s2Dp6cnTp48qTDB8PHjx+jYsSPq1q2L+fPnw8XFBQsXLsTUqVPRp08fXLx4EZMmTcLEiRNx/vx5eHh4IC8vT7b9kydPsGbNGjRt2hTTpk3DwoUL4ezsjLlz58LT07PIx05E9CkpSmLxob169QoRERHo0KEDLCwsVN6+Vq1aAIBt27bhv//+Q1JSEqKjo7F9+3aYmJigRYsWsrp2dnY4ffo0YmNjERsbi9OnT8Pe3h7Amxtl27dvh4uLC2xtbdVzcMV05coVZGZmolWrVgqvtWzZEgAKvZAubhvjxo2DsbExDAwMULt2bfzyyy9Kh8d8aJo4J//88w9MTU2RmJiIRo0awcjICPr6+mjbtm2h+youabv5xXjr1i2kpKSovY2HDx9i2rRp8Pf3l/2bKAmcc6FhmZmZOHv2rOyuS58+fVC9enUsW7YMbdq0wdOnT+Hr64sBAwZg8+bNsu2+/fZbjBs3DgsXLsSoUaNQvXp1DB48GD/99BMqVKiAwYMHy+1n8ODBOHjwII4eParwWlHZ29tj7dq16N27NyZMmIB58+ahf//+0NfXx6ZNm+Qy5/zs2LEDdevWxe7du+XKlU0GvH//PrZt24a+ffsCAL755hs0adIE8+bNg7u7Ow4ePAiJRALgzV20cePGISIiAp07dwYAVK9eHY8ePZJ7UNTo0aMxbdo0zJgxA2fOnEHz5s2LdS6IiD5GH2NiAby5y2ppaQkXF5dibd+kSRO8evUKR48exYoVK2TlVatWxdixY+V6NNzd3fHbb79hyZIlAABra2vZZOXIyEjk5eUVadx+SZNORJfOFXmbtOzJkydqbUNXVxc9evRAt27dYGtri9jYWKxduxbjx4/HpUuXZCMcNEUT5+T27dvIyclBly5d0LdvX0ybNg0xMTGYMWMG3NzccObMGdSrV694B1TMGIUQiI2NRe3atdXahvR68bvvvnvfQygQkwsN+/bbb+W6cytXrozatWvj7t27AIA///wTmZmZ+OqrrxAfHy+3rbu7O5YsWYKDBw9i5MiRHyTeXr16YdSoUVi+fDkuXryI69evY/v27bCzsyvS9mZmZrh//z6OHTtW6JdM5cqVZYmFlIuLCy5cuICxY8fKEgsAsl6Zu3fvypKLt89rTk4OkpOTkZubiw4dOmDGjBk4ffo0kwsiKjU+1sTi0qVLuHPnDr755psi3YRSRiKRwMTEBA4ODqhbty5MTU3x9OlTHD16FBs2bMDw4cOhr68PALCxsYGfnx+eP38OIQQqVKgAbW1txMXFISoqCkOHDoWuri5OnjyJU6dOITMzE3Xr1kW3bt0+6FPLpcNz9fT0FF6THkthQ3hVbaNNmzbYtWuXXL0RI0agW7duWL9+PYYPH442bdqocBTqpYlzIr02GDRokNxqm02aNEG7du0QFBSErVu3qnYghdDEcW7ZsgX79u3DsWPHoKNTspf/TC40rHr16gplVlZWePjwIQDI5hEUdJelJJdJU2bhwoU4cOAATpw4gREjRqBXr15yr6ekpCh0xVlaWqJcuXKYNWsWPDw80LZtW9ja2sLNzQ1ffPEF+vTpo7B6SLVq1RT2Le1Of/c1afnLly/lylesWIGQkBBcv35dbsgU8KabnoioNPhYE4u0tDT8/fffaNq06XsNw9i/fz9OnjyJCRMmwMTEBABQr149VK1aFaGhoThy5IjsxhIAaGtro1KlSrLfhRAIDw9Hw4YNUatWLVy+fBl79uxBnz59YGZmhj/++ANCCHh4eBQ7xvzk5uYqLA1qYGAgmxei7Jkj0rkQb88dUUYdbWhpaWHy5MnYv38/9uzZU+LJRX7nw8zMTCPnxMDAACkpKQqrbLq5ucHOzq7Yz/sq6Fro7RgNDAwKjVEZVdpISEjA+PHj8dVXX6F169bFOh5VMLnQsPzu4kjHPkr/u2HDBrk/lG9TlqCUpMuXL+O///4D8Gad8JycHLkseP78+QgMDJTbJjIyEm5ubmjVqhXu37+P/fv3IzIyEpGRkdi8eTNmzJiBY8eOyS0JWNAdrsLOG/AmCZowYQI6deoEX19f2Nraoly5cnjy5AmGDh2qkGwQEX2qijLnTRMOHjyIrKwsNG/eXK73PScnB0IIxMfHQ0dHB+bm5vm2kZubi6NHj6JmzZqyxELK0dERenp6iI6OLjCOU6dOIT4+HkOGDAEAnDt3DvXr15dN+HVzc8Pu3bvRo0cPtU/yfvTokcINMW9vb3z99dcAlA/zkZYpG/LyNum8kfdpA4Bsqdh3R0iUhPzOx/r169VyPKq2UaVKFdy6dQsVK1ZUqF+pUiVcuHChwP3lp6BrobdjrFmzpkKMEomk0DlBqrQRGBiI1NRUjBgxAvfu3ZPVS09PhxAC9+7dg56eHqpWrVqsY30Xk4uPnHQSm7W1dZHGiL49VKgkvH79Gl9++SWsra0xZswYTJ06Ff7+/pg5c6aszpAhQxSGPDVs2FD2/8bGxujduzd69+4N4E3vwujRo7F27Vq5CervKywsDA4ODti7d6/cl8W+ffvUtg8ioo9BYGDgR9lzkZiYiKysLCxfvlzp6/Pnz0eFChXg5+eXbxupqamyZORdQgjk5eUVeLMoKSkJ+/btg6enp2zd/6SkJLkLTHNzc+Tk5CAtLU3pQ8XeR8WKFWXPmZKytbWFnZ0d9PT0cPLkSYVtTp06BQBo2rRpgW03aNDgvdsAIBuKXRLPc3hXfucDUM/xqNpG8+bNcevWLTx+/Bj169eXq//48WOUL1++CEelqKBroWbNmmHVqlU4efKkQmJw6tQpODo6Fvo5VKWNhw8fIjU1VW7hg7fVqlUL9erVw7Vr11Q6xvwwufjI9evXD1OmTIG/vz/c3NwUur6SkpKgr68vG3NnbGxcok8bHTlyJB4+fIiIiAi0b98eFy9exJw5c9ChQwfZA4uqV6+eb29KfHw8rK2t5cqcnZ0BQO1xa2trQyKRyH0h5eTkqPQkWSKiT4H0gXgfW4Lh6uqKxo0bK5RHREQgISFBtiiIVFZWFhITE6Gvry+bpG1sbAxDQ0NER0cjISFBrof7ypUryM7OLvABcLt27YK9vb3csqSmpqZ49uyZ7Pdnz55BW1u70KEoxaGvr5/vzUF3d3eEh4fj8uXLsgvPlJQUrFmzBrVq1ZKbF5iUlISnT5/C2tpa9j1qbGysUhsvX75UWEY4MzMTAQEBsnhKWkHnQ9XjUcc58fLywoYNGxASEoIuXbrIyv/66y88efIEI0aMKNZxFnQt1LNnT/j6+mLZsmUYOHCgbDTGX3/9hQcPHiA4OFiu/n///Ye0tDTUqFFDNi9IlTYmTpyodDEff39/PHjwAGFhYTAzMyvWcSrD5OIjV6VKFaxcuRLDhw9H3bp14eXlBXt7e7x48QJXr17Fzp07cePGDVmXZsuWLbF27VpMmzYNdevWhZaWFtzd3Yv0pMfCrF27Flu3bsWUKVPQvn17AMDq1atx9uxZDB48GFeuXCl07fO6deuiZcuWaNGiBWxtbfH06VOsWrVKtsStOvXp0weTJ09G165d0atXL7x+/RqbN2/+oBP2iIg+lA+ZYFy4cEE2b03as3Do0CEAb+bASW8a5TfP4sSJE0hMTESDBg3kyh89eoTVq1fD2dkZ/fr1A/BmTkCHDh2we/duLF++HC1atICZmRmePn2Ks2fPwsjICJ9//rnS/Vy9ehX37t3D+PHj5cobNWqE7du346+//oKZmRkOHTqERo0affDnXsyePRuHDh1Cp06d4OfnB1NTU6xevRpPnjzBnj175EYj7NixAz4+PvD395clA6q20aVLF9ja2qJJkyay1aI2btyIu3fvYuzYsR/FIicf+px06NABX375JbZs2YJu3bqhe/fuePjwIZYuXYpKlSrJtQu8GUJ35MgRREdHq/Tk8bfZ2NggODgY33//vWz/T548wYIFC1CnTh2Fz+uQIUMU9qlKG8qWqwWAZcuW4eHDh+jTp0+xjiM/TC4+AT4+Pqhduzbmz5+PX3/9FYmJibC2toajoyOCg4PlxgnOnDkTCQkJWL58ORITEyGEQHR09HsnF7du3YKvry9at24tN4bQ3NwcW7Zsweeffw4fHx+FJWbfNWHCBPzzzz9YsmQJkpKSUL58ebRs2RKTJ0+WGzqlDj/88AOEEFi7di3GjRuHihUron///vDx8cFnn32m1n0REX0MPlSCcfbsWYV5DtKhLtWqVZMlF+rSunVrmJiY4MSJEzh+/Diys7NhZGQEJycndOzYUemcjYyMDOzevRsdO3aU6+0A3qwElJycjFOnTiE7Oxv16tX7IHft31WzZk0cP34ckyZNwpw5c5CVlQVnZ2fs27evyMvlqtJGnz59sHPnTixduhSJiYkwMjJC48aNERgYiC+//LIkDlFlH/qcAG/mtTZs2BDr1q2Dn58fzMzM0KdPH8ycOVNh7kNycjIMDQ0LnCdUFBMmTICVlRUWLVoEX19fmJqaol+/fpgzZ06Rh+apo42SIBEfw1NTiIiISG2KunoULwGopAQEBCAwMBAXLlxA1apVYW5uXuJLoJa0V69ewcbGBlOnTlWYrF2aZGVl4fXr1zh+/Dg8PDwQGhqqsJpWQfiEbiIiolJm2rRpCAoKKrBOYa8TqYOzszNsbGxkk6k/ZQcPHoSNjQ1+/PFHTYdSosLDw2FjY1PspZnZc0FERFRK5deDERQUJBtCRVQSHjx4gAcPHsh+b9asmVonDVPJiYuLw9WrV2W/16tXL9/HISjD5IKIiKgUezfBCAoKgp+fn0bHZBNR6cVhUURERKWYdIiURCKR9VjcuXNH02ERUSnFngsiIqIyJj09XeG5SURE6sDkgoiIiIiI1ILDooiIiMqYx48fazoEIiqlmFwQERGVMUlJSZoOgYhKKQ6LIiIiIiIitWDPBRERERERqQWTCyIiojLm+vXrmg6BiEopJhdERERljLm5uaZDIKJSinMuiIiIiIhILdhzQUREVMakp6drOgQiKqWYXBAREZUxN2/e1HQIRFRKcVgUERFRGZOamgojIyNNh0FEpRCTCyIiIiIiUgsOiyIiIipjnj59qukQiKiUYnJBRERUxsTHx2s6BCIqpTgsioiIiIiI1II9F0REREREpBZMLoiIiMqYGzduaDoEIiqlmFwQERGVMSYmJpoOgYhKKc65ICIiIiIitWDPBRERURmTkZGh6RCIqJRickFERFTGcM4FEZUUDosiIiIqY5KTkznvgohKBJMLIiIiIiJSCw6LIiIiKmPi4uI0HQIRlVJMLoiIiMqYZ8+eaToEIiqlOCyKiIiIiIjUgj0XRERERESkFjpFqZSWloZbt26VdCxERET0AcTExMDBwUHTYRDRJ6hOnTowNDTM9/UiJRe3bt1CkyZN1BYUERERERF9es6fPw9nZ+d8Xy/SnAv2XBARERERUWE9F5zQTUREVMZkZ2dDV1dX02EQUSnECd1ERERlzNWrVzUdAhGVUuy5ICIiKmOSkpJgZmam6TCIqBRickFERERERGrBYVFERERlzIsXLzQdAhGVUkwuiIiIypjHjx9rOgQiKqU4LIqIiIiIiNSCPRdERERERKQWTC6IiIjKmLt372o6BCIqpZhcEBERlTE6OjqaDoGISinOuSAiIiIiIrVgzwUREVEZk5ubq+kQiKiUYnJBRERUxly+fFnTIRBRKcXkgoiIqIypVq2apkMgolKKcy6IiIiIiEgt2HNBRERUxrx8+VLTIRBRKcXkgoiIqIx5+PChpkMgolKKw6KIiIjKGCEEJBKJpsMgolKIPRdERERlDBMLIiopTC6IiIjKmPv372s6BCIqpZhcEBERERGRWjC5ICIiKkBwcDC0tLQQHBys6VDUpkaNGpoOgYhKKSYXRERE+QgODsb06dMhhMD06dNLTYLBtVyIqKQwuSAiIlJCmli8rbQkGBcvXtR0CERUSjG5ICIieoeyxEKqNCQY9vb2mg6BiEopPueCiIjoLQUlFm8LCgrCtGnTPkBERESfDvZcEBER/Z+iJhbAp92D8erVK02HQESlFJMLIiIiqJZYSH2qCUZ0dLSmQyCiUorJRRkRHR0NDw8P2NjYQCKRYOjQoQCAtLQ0+Pr6ws7ODtra2nBwcNBonMpkZGTAwcEBU6dO/WD73LVrF8qVK4e7d+9+sH0SkeYUJ7GQ+hQTjIYNG2o6BCIqpdSWXDx48AAjR45EnTp1YGhoCAsLC9StWxfe3t6IjIxU127o/wQEBEAikeT706FDB7n6Q4cOxZEjRzBx4kSEhYXh66+/BgD8/PPPWLp0Kfr374/169dj8eLFJRbz4sWLsX79epW3W7hwIRITE/H999/Llb97zHp6eqhZsybGjx+Ply9fKrSjyjnr2bMnGjRogIkTJ6ocLxF9Wt4nsZD61BIMbW1tTYdA/+f27dvw8PCAhYUFjIyM0LZtWxw+fLjI2xf03TZ//nyF+nFxcfjmm29QtWpVlCtXDnZ2dhg3bhwSExPVeFSKcR07dkyt7VPJ6tKli9z7pwoddQRw7tw5uLq6QldXF0OGDEG9evWQnp6Ou3fv4sCBAzAxMUG7du3UsSt6R1BQEKpVq6ZQXqlSJdn/Z2Zm4ujRoxgzZozCBXpERAQaNGiAefPmlXisixcvhoODg6zXpCjS09Mxb948+Pj4wMLCQuH1Ro0aYcKECQDejCE+cOAAfvnlFxw8eBAXLlxAuXLlFLYpyjkDgHHjxsHb2xvXr19HvXr1ihwzEX061JFYSEnb+RQmeUdHRyv9O0gf1v3799G6dWvo6Ojgxx9/hJmZGVavXo3OnTtj7969CjcKC7Jo0SJYW1vLlTVp0kTu9+fPn6NFixaIjY3F119/jfr16+PatWtYuXIl/v33Xxw/fhyGhoZqObZ343J0dCzyNrdv38bEiRNx5MgRZGVlwdnZGYGBgWjfvn2Rti/sYnjGjBmy0RC3b99GUFAQLly4gNjYWGRnZ8POzg7dunXDDz/8oHBtoE7ve5zvWrlyJb799lsAwIsXLxQ+D/mdFyMjI6SkpMiV/fjjjxg8eDBWrVqFo0ePqhSHWpKLwMBApKWl4dKlS0q7Wp89e6aO3XzysrOzkZubC319fbW12bVrVzRt2rTAOnFxcRBCwNLSUuG1Z8+ewc7OTm3xqNvmzZuRmJiIIUOGKH29cuXKGDx4sOz3sWPHwtPTEzt37sRff/2F3r17K2xTlHMGAL169cKoUaMQEhKCpUuXFv8giOijpM7EQupTSTBycnI0HQIBmDx5MhITE3H+/Hk0atQIAGQ3aUePHo1bt24V+a6xh4dHoUObZ82ahYcPH2Lz5s348ssvZeWtW7fGwIEDsXDhQvz000/FPZxix/U2dSRcYWFhSssDAgJw//59uLu7y8oeP36Mp0+fwtPTE1WqVIGOjg6uXr2KVatW4ffff8elS5dQvnz5IsdfVOpMLAEgNjYWkyZNgrGxsUKi8La2bdti5MiRcmW6uroK9aQJzsGDB1VOLiDUwNHRUVhZWRWpbnR0tAAg/P39FV7z9/cXAER0dLSszNvbWwAQ8fHxwtvbW1hZWQljY2PRs2dP8fTpUyGEEL/++quoU6eO0NPTE46OjmLnzp357nPr1q2iYcOGQl9fX9SoUUOsW7dOCCHEw4cPRe/evYWFhYUwNjYWgwYNEq9fv5Zr5+bNm2LUqFHis88+E8bGxsLAwEA4OzuL1atX53ss165dE35+fqJy5cpCS0tL7N+/X1hbW4vWrVsrPT9z584VAMSRI0cKPI/S9s+ePVtgPen5e/cnNDRUafnb78vZs2eFh4eHsLKyEuXKlRO1a9cWM2bMENnZ2Qr7uXv3rhg6dKioXLmy0NXVFZUqVRI9evQQ586dE0IIpft6971WpnPnzqJixYpKXwMgvvjiC4XyZcuWCQBi9uzZxTpnRd0/EX2asrOzxeTJk/P9u6SOn4CAAJGQkKD07yWREEKkpKQIPT090b59e4XXgoKCBABx+vTpQtt5+9opKSmpwM+ck5OTMDAwEHl5eXLlubm5Ql9fX1SvXl31AylCXKro27ev0NLSEhcvXpSVJScnCzs7O1G7dm2F2Ivq0aNHQktLSzRt2rRI9bdt2yYAiJ9//rlY+yuMuo/Tw8NDNG7cWAwePFgAEC9evFCoA0B4e3ur1K70OlIVaplzUaNGDbx8+RLh4eHqaE6pLl26ICkpCUFBQRgxYgT+/vtveHp6Yt68eZg3bx68vb0xZ84cZGVloU+fPkpXwvj777/h6+uLXr16Yd68eTAxMcGwYcOwadMmtG3bFiYmJpg1axb69euHTZs2wc/PT277qKgo/Pvvv+jevTvmzZuH4OBg6OrqYsSIEZg9e7bSuAcNGoSTJ09iwoQJWLBgAezt7eHt7Y0TJ07g9u3bCvXXrVuH2rVr4/PPPy/SeUlKSkJ8fLzCT3p6OgDg66+/xqJFiwAAnp6eCAsLQ1hYGOrWrYuwsDBYW1ujTp06svJevXoBAPbs2YM2bdrgzp07mDBhApYsWYJWrVph+vTpcnc7gDfD4po0aYKtW7fC09MTS5cuxdixY5GZmYkTJ04AgNJ9hYWFwcbGJt9jy83NxfHjx9G8efMinQup+/fvA4DSnpqinLO3tWrVCs+ePcOtW7dUioGIPl7Tp0/P92+2ugQEBOCbb75BcnJyie6HPl1XrlxBZmYmWrVqpfBay5YtAQBnz54tcntOTk4wMzODvr4+Wrdujb179yrUyczMhL6+vkJviJaWFgwMDPDgwQPEx8ereCTqk5qait27d8PNzU3WkwMAxsbGGD58OO7cuaPSOXlbaGgo8vLyMHz48CLVlz5osiSWbVb3ce7YsQO7d+9GSEhIkeZTZWVlFdi78d5USkXyceLECaGrqysAiFq1agkfHx+xYsUKcePGDYW6xe25+Pbbb+Xq+vn5CQCiatWqIikpSVZ++fJlAUBMmjRJYZ+GhoYiJiZGVv78+XOhp6cnJBKJWLBggVz7np6eQldXVyQnJ8vKUlJSFGLOzc0Vrq6uwtTUVGRlZSkci6urq8JdhNu3bwsA4ocffpArP3bsWJGzZGn7+f3MmzdP4fiVnXN7e3vh6uoqV5aeni4qVKgg2rZtqxD7woULBQARGRkphBAiLy9P1KtXT+jp6YnLly8rPT8F7asgDx48EACEn5+f0tcBiE6dOokXL16IFy9eiLt374ply5aJcuXKCWNjYxEXFydXX5VzJhUWFiYAiD///LPIcRPRx0t6R/hD/UyePFnTh6zUhQsXNB1Cmffnn38KAGLFihUKr12/fr3In59FixaJkSNHivXr14tdu3aJuXPnCltbWyGRSERoaKhc3V69egkAcnfLhRDi4sWLss/s+fPn3+ewZIrTc3HixAkBQEydOlXhtQMHDggAYtmyZSrHkpeXJ6pVqyaMjIzkrhnflp6eLl68eCEePXok9u/fLxo1aiQAiH///Vfl/RVGnceZlJQkbG1txahRo4QQ//+6Ob+eCyMjI6GtrS0ACBsbGzFmzBiRmJiYb/vF6blQy5yLVq1a4fz581iwYAH27t2L0NBQhIaGAngztmv9+vWoXr36e+1j/Pjxcr+3bdsWixYtwpAhQ2Bqaiord3JygqmpqdIlRD08PGSZKADY2NjA0dER169fx+jRoxXa37FjB2JiYlC/fn0Abya8SGVkZCA1NRVCCHTq1AlHjhzBrVu30KBBA4W4dXTkT3Pt2rXh6uqKDRs2YNasWbLX165dCx0dHXh7exf5vCxfvhy1a9dWKFdWVlQRERGIi4vD7NmzFVaP6NatG7777jscOHAAbm5uuHTpEq5fv45vvvkGTk5OCm1paRW/c+zFixcA8u+BAIADBw4o9H44OztjxYoV+Y6RVOWcWVlZAXgzCY6IPm0lMceiMLNnz4aBgcFHNwejSpUqmg6hzEtLSwMA6OnpKbwmnZsprVOQd6+PAGDYsGGoX78+/Pz80KdPHxgbG8vq7ty5E/369cPixYtRv359XL9+HePHj4euri6ys7OLtM+SEhsbC+DNfMp3ScuePHmicruHDx9GdHQ0hg4dKnfN+LY1a9Zg7Nixst8dHBywceNGtG3bVuX9FUadxzlx4kTk5eUVqTe2efPm6Nu3L2rWrInXr1/jn3/+wbJly3DkyBGcOHFC9jl5X2pJLgCgQYMGsmVGHz58iCNHjmDNmjU4evQoevbsifPnzytduaeo3k1OpCsHKVvtwsLCQulSpMoSHAsLC1SqVEnhH7e0/bfbSUlJQUBAALZt24ZHjx4ptKWs6yy/i/yRI0di0KBB+Pvvv+Hh4YHk5GRs27YN3bt3R4UKFZRuo0zz5s2LNDlZFTdv3gTw5o9TfuLi4gBAlsQ1btxYrTEA/39VgzfJtnItWrTAjBkzIITAf//9h4ULF+Lx48cFftZUOWfSfau6DBsRfVw0kVhIfYyTvAsakkrqlZubK7tZJmVgYCBblSkzM1Nhm4yMDAAo9spNVlZW+OabbxAQEIATJ06gU6dOAN7cOP3999/h6+uLL774AsCbZYmHDx+OevXqYceOHflefH8I6kq43rVmzRoAwFdffZVvHQ8PD9SpUwcpKSm4ePEidu/eXWJDxNR1nMePH8evv/6KTZs2wczMrND6p0+flvt9yJAhcHJywtSpU/HLL7+o7Xliaksu3mZvb48hQ4bAy8sLbdu2xfHjx3HmzBm4uLgUeJFW0OoV+Y0hy69c2QWpqm28287AgQPx999/Y+TIkfj8889hZWUFbW1t/PPPP1i0aBHy8vIUts/vD0Pv3r3h6+uLtWvXwsPDA1u3bkVqamqRxwKWJOkxz5s3T24s4NtsbW1LPA7pl19CQkK+daytreVWVPD09ESDBg3Qu3dvXL9+HQYGBu8Vg3Tf/CIm+rT5+/trfP8fU3KRlJRUpIsRen+PHj1SuBHq7e0te96UsjvU0jJld7aLSrpC07sXyH379kWvXr1w9epVJCcnw9HREeXLl0fz5s2ho6ODmjVrFnufRZFfsmVmZlYiCVdCQgJ27NiBOnXqwMXFJd96VapUkfXoeXh4oHfv3mjWrBnS0tIwefJklfYJlPxxZmVlYeTIkejQoYPCXFhV/PDDDwgMDMSePXs+7uRCSiKRoEWLFjh+/LjsH4p0iIuyC8YHDx6UZDjvJTExEX///Te8vLwQEhIi99rBgwdVbk9PTw9DhgzBkiVLEBsbi7Vr16Jy5cro0qWLukIutlq1agF4MwyssKXQpD0zly5dKrRdVe/+V61aNd8hbvmxtLTEjBkzMGzYMCxatAhTpkxRaZ/vunfvHgDIhsYR0acpMDBQYz0X0v1/TO7fvw9nZ2dNh1EmVKxYEREREXJltra2sLOzg56eHk6ePKmwzalTpwDgvUYmSL87lY2G0NbWlrt5+OzZM1y8eBGurq5qf87Fu/JLttavXy+7canOhGvTpk3IzMwssNdCGScnJzRu3BgrVqwoVnJR0se5fPly3Lp1CwsWLJBdqwCQLSIRHR2N169fFzotQVdXF7a2tmrtpVFLchEREYF27dopzC1IT0/HgQMHAACfffYZAMDExAQVK1bE4cOHIYSQXXA+ePAAO3fuVEc4JULau/Fuj8jTp09l3W2qGjFiBBYtWoSJEyfi1KlTmDp16kfx1NTOnTujfPnymDNnDvr3768w5yE9PR05OTkwMTFBw4YNUa9ePaxbtw6jR49WeNjc2++xsbFxgb0Q79LW1kbbtm0VuvEK4+XlhRkzZmD+/PkYM2bMe3Xxnjp1ChUqVFDp4T9E9PGR9hpoIsEICgr6qHotACjMD6SSo6+vn++NOnd3d4SHh+Py5cuy54SlpKRgzZo1qFWrltxqiUlJSXj69Cmsra1lD0fLyclBamqqQi/Uo0ePsHLlSlhZWaF169YFxpeXlwdfX1/k5uaq7c51QfJLtoA3n0t1J1xr166VPeRZVenp6Spdt7ytpI/z4cOHyMvLQ9euXZW+3rx5c6UPx3tXRkYGHj9+LFuhTB3Uklz4+fnh5cuX6NGjBxo0aABDQ0M8evQImzdvxp07dzBkyBC5P2RjxozBTz/9hK5du8LDwwOxsbEICQlB/fr1i73EWEkzMTFBp06dsHHjRhgYGKBZs2Z4+PAhfv31V1SrVk3pHI/C1K1bFy4uLti4cSMkEkmBcxzys3fvXqXLpBoZGcHT01Pl9qTbbtiwAR4eHnB0dMSwYcNQs2ZNJCYm4tatWwgPD8eOHTvg5uYGiUSC0NBQ/O9//0Pz5s3x1VdfoX79+khMTMSRI0fQpUsX2QSpli1bYu3atZg2bRrq1q0LLS0tuLu7y02Uf1ffvn2xZ88enDlzpshL0uro6GDy5MkYMWIEfvnlF4Uv9aKes5SUFBw9erRY7wsRfXw0kWBMnjz5o0ssAOUPzaIPb/bs2Th06BA6deoEPz8/mJqaYvXq1Xjy5An27Nkj1+O/Y8cO+Pj4wN/fHwEBAQDefE9Vq1YNHh4eqFu3LiwsLHD79m2sWbMGKSkp2LJli9zw4JSUFDRv3hyenp6oVq0akpKSsGXLFpw/fx4zZ85Eu3btSvyYC0q2jI2N3zvhetu5c+dw+fJl9OrVK99FXp49e4aKFSsqlEdGRuLatWtwc3MrxlGW/HH6+PgoHea1fPlyREVFYd26dbL5w8CbOcTSRWreNm3aNOTk5Mg9WPC9qbS2VD72798vvv32W+Hk5CSsrKyEtra2sLS0FG5ubmLt2rVyy5EK8eYBRj/88IOoWLGi0NPTE40bNxa7d+8ucCnad0VGRgr838Pg3vXukqcFLcXq6uoq7O3tFcqlD5mTLrkqhBAvXrwQX331lahUqZLQ09MT9evXF6tWrVJat6hLsG3YsEEAUPoQnYIUtqxq5cqVi3T8BS0Pe/XqVTFo0CBha2srdHV1Rfny5UWrVq1EUFCQePnypVzdW7duiUGDBokKFSrIHqLXs2dPuSXt4uLiRK9evYSFhYWQSCRFOj/p6enC0tJSjBkzRuE1QPlD9IQQIisrS9jZ2Qlzc3PZEmuqnDMhhFi/fr0AIK5evVpgjET0aSnpB+hJf/r16ycSEhI0fbhKvb0sO2nWjRs3RI8ePYSZmZkwMDAQbdq0EREREQr1pNcab3+XZ2RkiK+++krUr19fmJubCx0dHVGxYkXRu3dvpQ/gy8zMFAMGDBAODg5CT09PWFhYiE6dOol9+/ap/biK+xC9u3fvCgsLC1G+fHkxe/ZssXz5ctGoUSOhra2tEKeyc/K2b775RgAQ//zzT7778/DwEC1atBCTJ08WISEhYvHixcLLy0vo6uoKMzMzhWV7C9unJo7zbfktRTt+/HjRsmVLMXnyZLFy5Uoxb9480a5dOwFAtGjRQqSlpRXYnirUklxQ8W3dulUAEJs3b9Z0KB+t2bNnC1NTU4WEpqQ1btxYeHp6ftB9ElHJ4xO639wQIipJxU0uhHi/hEsqLS1NmJmZiapVqyrc5H7b1q1bxRdffCGqVKki9PT0hL6+vnB0dBRjxowRDx8+VKi/ZMkSAUCsWrVK5eN6lzqO8135JRc7d+4UnTp1Era2tkJPT08YGhqKhg0bipkzZ4r09PRC21OFRIgC1vmkEufq6oobN27g8ePHSpckozfjAevUqYOBAwdi1qxZH2Sf0nXAr1+/LpvgTkSlS0ktT/sxzrEg+tACAgIQGBiICxcuoGrVqjA3N1eYm/spkq60dePGjVI9vPD169fIysrC2LFj8fvvvxf4WIB3ffrv8ifo+fPnOHToEI4ePYp///0Xs2fPZmJRAH19fcTExHzQfXp4eCArK+uD7pOIPqySmIPBxIJInnRVsqNHjxa4FOynICcnB4cPH5ZNEi/N+vXrh/379xdrW/ZcaEBUVBTatWsHc3NzDBgwAEuWLCn1H1Iioo+VunowPqXE4u1JpEQl4cGDB3KPGGjWrBmfrfIJuXTpktzytIU9muBtTC6IiKjMe98E41NKLAAgLi5O6fMPiIjeF5MLIiIiFD/B+NQSCyKikqSl6QCIiIg+BtOmTUNQUJBK23yqiYX0Kb5EROrG5IKIiOj/qJJgfKqJBQDcvXtX0yEQUSnFYVFERETvKGyI1KecWABvlvjW19fXdBhEVAoxuSAiIlIivwTjU08siIhKEodFERERKaFsiFRpSSwePXqk6RCIqJRickFERJQPaYIhkUhKTWIBcEI3EZUcDosiIiIiIiK1YM8FERERERGphY6mAyAqzdLS0nDr1i1Nh0FEJOfu3buoVasW6tSpA0NDQ02HQ0SlCJMLohJ069YtNGnSRNNhEBEpdfLkSbRs2VLTYRBRKcI5F0Ql6EP0XKSkpMDV1RVHjhyBsbFxie6rLON5/jB4nj8M6Xl++vQpKlasqOlwiKgUYXJB9Il7/fo1zMzMkJSUBFNTU02HU2rxPH8YPM8fBs8zEZUUTugmIiIiIiK1YHJBRERERERqweSC6BOnp6cHf39/6OnpaTqUUo3n+cPgef4weJ6JqKRwzgUREREREakFey6IiIiIiEgtmFwQEREREZFaMLkgIiIiIiK1YHJBRERERERqweSCqBR5/vw5fHx84OTkBEtLS+jr66NmzZr46quvcO/ePU2HV2o8efIEs2fPhqurKypVqgQjIyPUq1cPP/zwA16+fKnp8EqdX3/9FYMGDUKdOnWgra0NiUSi6ZA+WXl5eVi0aBHq1KkDfX19VK1aFRMmTEBqaqqmQyOiUoKrRRGVIrdv38awYcPQqlUr2Nvbw8DAAHfv3sW6deuQmZmJU6dO4bPPPtN0mJ+8kJAQjBs3Dl988QVcXFxgYmKCM2fOYP369ahYsSLOnj2LihUrajrMUsPBwQEvX75E48aNER0djcePH4NfXcUzbtw4LFmyBJ6enujatStu3ryJpUuXom3btjh48CC0tHjPkYjeD5MLojLg7NmzaN68OUaNGoUVK1ZoOpxP3vXr12FlZaWQQKxZswYjRozAhAkTMH/+fA1FV/rExMTAzs4OWlpa6N69O/bs2cPkohiuX7+OBg0awNPTE9u3b5eVL126FL6+vti0aRMGDhyowQiJqDTgLQqiMsDe3h4A8OrVKw1HUjrUq1dPac9E//79AQDXrl370CGVag4ODryjrgZbtmyBEALjx4+XKx8xYgQMDQ2xceNGzQRGRKWKjqYDICL1y87ORlJSErKzs3Hv3j0EBAQAALp166bZwEq5x48fAwAqVKig4UiIFJ09exZaWlpo3ry5XLm+vj4aNWqEs2fPaigyIipNmFwQlUL79++Hu7u77PcKFSpgwYIF8PLy0mBUpZ+/vz8AwNvbW8ORECmKjY2FtbU19PT0FF6rXLkyTpw4gaysLJQrV04D0RFRacHkgugjlJiYiMWLFxe5vq+vLywtLWW/t2zZEhEREUhPT8eNGzfw+++/49WrV8jJyYGODv/ZS73veX7bggUL8Mcff2DkyJFo3769miIsPdR5rql40tLSlCYWwJveC2kdJhdE9D44oZvoIxQTE4Nq1aoVuf7du3dRs2bNfF+PjY2Fk5MTevfujV9//VUdIZYK6jrPa9aswciRI9GtWzfs2LEDurq66gyzVFDXueaE7uJr0KABnj9/jri4OIXX+vXrhz/++AOZmZlMLojovXCGHNFHyMHBAUKIIv8UlFgAgK2tLTp06IC1a9ciMzPzAx3Fx08d53ndunUYOXIkOnXqhO3btzOxyIe6P9OkOltbW8THxyv9G/DkyRNYW1szsSCi98bkgqiMSE9PR25uLl6/fq3pUEqNdevWYfjw4ejQoQN27tyZ75AToo9Bs2bNkJeXhzNnzsiVZ2Rk4NKlS2jatKmGIiOi0oTJBVEpomy4AwDcuHEDhw4dQo0aNWBjY/OBoyqd1q9fjxEjRqB9+/bYtWuXbMw60ceqf//+kEgkCnNfVq9ejbS0NAwaNEgzgRFRqcI5F0SlyPjx4xEREYEvvvhCNgzl2rVrCAsLQ3Z2Nnbv3o3OnTtrOsxP3u7du+Hp6QlTU1PMnTsXBgYGcq8bGxvDw8NDM8GVQn/99RcuX74MANi4cSNu376N4OBgAIC5uTnGjBmjyfA+KWPHjsWyZcvg6emJbt264ebNm1iyZAnatGmDw4cP83kiRPTemFwQlSIHDx5ESEgIzp07h+fPnyM3NxeVK1eGq6srvv/+e9SrV0/TIZYKAQEBCAwMzPd1e3t7xMTEfLiASrmhQ4fit99+U/oaz7VqcnNzsXjxYqxatQoxMTGwtrZG//79ERQUBGNjY02HR0SlAJMLIiIiIiJSC/Z/EhERERGRWjC5ICIiIiIitWByQUREREREasHkgoiIiIiI1ILJBRERERERqQWTCyIiIiIiUgsmF0REREREpBZMLoiIiIiISC2YXBB9giQSCYYOHfpB97l+/XpIJBJERUUVWKbpmKjoHBwc4ObmplC+YsUK1KlTB3p6epBIJLInYEdGRqJly5YwMTGBRCLB+vXrP2i8pVF+55qI6FPF5ILKrAcPHmDkyJGoU6cODA0NYWFhgbp168Lb2xuRkZFydQMCArBz507NBEpqMXToUEgkEkgkEpw7d05pnUWLFsnqfEoXzm5ubrK4JRIJDA0NYWtriw4dOmDWrFl49uxZkduKjIzE6NGjUadOHYSEhCAsLAw2NjZ49eoVevXqhdTUVCxYsABhYWH4/PPPS/CoSr/8znV+3n2fdXV1YWtri/79++PatWsK9aOiomR1x4wZo7TN58+fo1y5cpBIJAqJZm5uLsLCwuDi4oKKFStCX18fVapUQbt27TB9+nRkZmbK6koT/fx+atasWbyTRESfHB1NB0CkCefOnYOrqyt0dXUxZMgQ1KtXD+np6bh79y4OHDgAExMTtGvXTlY/MDAQ3t7e8PDw0FzQHyEvLy8MGDAA5cqV03QoRaavr4/Q0FA0bdpU4bXQ0FDo6+sjIyNDA5G9Hz09PaxZswYAkJWVhbi4OBw/fhzTp0/HnDlzsGrVKgwYMEBum9u3b0MikciVRUREAADWrVsHS0tLWfnx48eRmJiItWvXolevXiV8NGVDfue6IG+/z+np6Th//jxCQ0Pxzz//4Ny5c3B0dFTYRl9fH5s3b8aCBQugp6cn91pYWBiEENDRUbwcGDhwILZt24Y2bdpgwoQJsLCwwKNHj3DhwgXMnTsXvr6+Cu35+vqiWbNmCm2ZmJgU6fiI6NPH5ILKpMDAQKSlpeHSpUto2LChwuuq3OktLZKTk1W+ANDW1oa2tnYJRVQyPD09sWXLFixcuFDuwujs2bO4evUqBg4ciM2bN2swwuLR0dHB4MGDFcqvXr2Kbt26wcvLC1WrVkWbNm1kr717YQj8/8/+uxe7+ZW/LyEEUlNTYWxsrNZ2PwXFOafvvs8jRozAZ599hnHjxmHZsmVYunSpwjbSz/yuXbvQr18/uddCQ0PRrVs3HDp0SK78/Pnz2LZtGzw9PREeHq7Q5suXL2FqaqpQ3rZtW/Tp06fIx0NEpQ+HRVGZdPfuXVhZWSlNLACgYsWKAICYmBjZnd3ffvtNrptfauvWrejRowfs7Oygp6cHa2treHh44MqVKwrtSse437p1C1988QVMTExgZmaGPn36KE1orl+/ji5dusDIyAiWlpYYNGgQnj9/rjTmFStWoFOnTqhcuTLKlSuHSpUqYfDgwUrHcEvnbBw6dAguLi4wNjaGu7u77PXVq1fLxoHXrFkTixcvhhBCoR1lcx4KGhrx7jyRgwcPolOnTjA3N4e+vj6cnJwQEhKi9PiKGlNhfHx88OrVK4VhbqGhobCxsUH37t2VbieEwMqVK9GkSRMYGhrC2NgY7dq1UxhCBxTvvTh58iRcXV1hZGQEKysrDB8+HCkpKSof37saNGiA0NBQ5OTkwN/fX+61t+dcSD/roaGhsrikQ2UcHBzg7e0NAGjXrp3Cv4HMzEzMmjUL9erVg76+PszNzeHu7o6LFy/K7U86TGf9+vVYvnw5PvvsM+jr62P+/PmyOlu3boWLiwtMTExgaGiIFi1a4M8//3zv8/bs2TP4+vqievXq0NPTQ/ny5dGxY0dZ74HU3bt34eXlhUqVKqFcuXJwcHDADz/8gNTU1CKf8507d6JNmzYwMjKCsbEx2rRpg127dsleL+hcF8f//vc/WezKODs7w8nJSbY/qTNnzuD69evw8fFR2EbaVvv27ZW2aWVlBV1d3WLFS0SlG3suqEyqUaMGbt++jfDw8AKHeNjY2CAsLAxeXl5o27YtRo4cqVBn2bJlsLKywsiRI1GxYkXcv38fq1atQps2bXDhwgXUqlVLrv6TJ0/g5uYGT09PzJs3D5cvX8avv/6K169f48CBA7J60dHRaNu2LTIzMzFmzBhUrVoVf/31F7p06aI01vnz56Nly5bw9fWFpaUlrl27hjVr1uDw4cO4evUqrKys5OqfO3cO27dvx4gRI2QXjgCwePFi+Pn5oWHDhpg1axbS0tIwf/58lC9fvkjnNiwsTKFsz549+P3331GhQgVZ2apVq/DNN9+gZcuWmDp1KoyMjBAREYFRo0bh/v37mDdvntpielvjxo3RqFEjrFu3Dv379wcAZGRkYMuWLfDx8cn3gsnLywtbtmxBnz594OPjg8zMTGzatAkdO3ZEeHg4evToIaur6ntx6dIldO/eHT4+Phg4cCCioqKwdu1aaGlpYdWqVSof47s6dOgAe3t7HDlyBKmpqTAyMlKoI/2sr1q1CkePHpW9jxUqVEBqair27t2LVatWYcqUKahbt65su+zsbHTp0gUnTpyAl5cXxowZg6SkJKxevRpt2rTBv//+qzAEbfHixXj58iVGjBiBihUromrVqgCAn376CTNnzkSXLl0QHBwMLS0t7NixA3379sWyZcswevToYp23mJgYtGnTBnFxcRgyZAiaNm2K1NRUnDp1CgcPHkTHjh0BvLlb3759e5ibm+Prr79G5cqVcfnyZSxZsgTHjx/HkSNHCr2gXrFihWwexfTp0wG8ScI9PDzw66+/YuTIkQWe6+K4f/8+gIJ7QIYNG4bvvvsOT548QeXKlQG8GY5Vvnx5pQl1jRo1AAB//PEHBg0aBAsLiyLFkpycjPj4eIVyAwMDpZ87IiqFBFEZdOLECaGrqysAiFq1agkfHx+xYsUKcePGDaX1AQhvb2+lr6WkpCiU3bhxQ5QrV06MGjVKrtze3l4AEFu3bpUr//bbbwUAcevWLVnZl19+KQCIw4cPy8ry8vKEh4eH0niUxXHw4EEBQPz8888KxwNAREREyJW/evVKGBoairp164rU1FRZ+aNHj4SRkZEAICIjI2XloaGhCmXvOnv2rDA0NBQtW7YU6enpQgghYmNjhZ6envjyyy8V6vv6+gotLS1x//79YsWUH29vbwFAvHjxQixZskRoaWmJR48eCSGE2LRpkwAgrl69Kv744w8BQISGhsq2DQ8PFwDEr7/+Ktdmdna2aNKkiXBwcBB5eXmyclXfC4lEIk6dOiVX3q1bN6GjoyOSk5MLPTZXV1dhZGRUYB13d3cBQFy5ckVWZm9vL1xdXeXqSc/Tu/J7rxcuXCgAiH379smVJyUliapVq8q1HxkZKQAICwsLERcXJ1f//PnzAoCYPHmywr579uwpTExMxOvXr2Vlqpy3rl27Ko1RCCFyc3Nl/+/k5CQcHR3l9iPE/3//3/5MKJOQkCCMjIxEjRo1RFJSkty5qF69ujA2NhavXr2Sled3rvMjfZ9fvHghXrx4If777z+xY8cO2d+VPXv2yNWXnu958+aJ+Ph4Ua5cOTFz5kwhhBBpaWnCzMxMTJgwQQghhJGRkcJnQfqZMTQ0FB06dBBTp04Vu3fvlvt3KCX9fOT3M3r06CIfJxF92jgsisqkVq1a4fz58/D29kZSUhJCQ0Px7bff4rPPPsPnn3+OBw8eFLkt6d04IQRev36N+Ph42NjYwNHREadPn1aob2trqzDuWTr0QDoUIS8vD3/99ReaNm0qN7FcIpHgxx9/LDCOvLw8JCUlIT4+Hg0bNoSZmZnSOBo2bIgOHTrIlR04cABpaWkYPXo0DA0NZeVVqlTBoEGDCj0X73r06BF69OiB8uXLY9euXdDX1wcA/Pnnn8jMzMRXX32F+Ph4uR93d3fk5eXh4MGDJRITAAwaNAi6urr47bffALwZEtWsWTPUr19faf2NGzfCxMQEHh4ecrEmJibC3d0dMTExckNSVH0vWrVqhRYtWsiVtW/fHjk5OWpbmlQ6Pv7169dqaU9q48aNqFOnDpo0aSJ3brKystCxY0ccO3YM6enpctsMGTJEoddp06ZNkEgk8Pb2VvhM9OjRA8nJyTh58qTcNkU5bwkJCdi3bx+6dOmCzp07K8SvpfXma/Dq1au4cuUKBg4ciMzMTLn9u7i4wMjISK5nUZmIiAikpqbC19dXbj6CqakpfH19kZKSIvtcF1dqaipsbGxgY2MDOzs7eHp6IisrC7/99hu6deuW73ZWVlbo0aOHbBW08PBwJCUlYdiwYflus337dixduhT169dHVFQUZs6ciR49eqBixYpYsGCB0m2mT5+OiIgIhZ+xY8e+13ET0aeDw6KozGrQoIHsi/bhw4c4cuQI1qxZg6NHj6Jnz544f/58kVZBunjxIqZNm4aoqCiFcdnVqlVTqF+9enWFMukwmZcvXwJ4szxkSkoK6tSpo1D3s88+UxrH4cOHERQUhNOnTyusdvTq1SuF+rVr11YokyZVquw3P8nJyejevTtSU1MREREhdzF58+ZNAFBIbt4WFxen9pikLC0tZRdagwcPxuHDh7Fs2bJ869+8eRPJyckFDluJi4uTnVNV34uifCbelzSpUDYJ933cvHkT6enpBS6hGh8fLxv6BCj/7N28eRNCCKXvs5T0MyFVlPN27949CCHQuHHjQo8DAPz9/RXmpuS3/3dFR0cDAOrVq6fwmrRMlRsXyujr6+Ovv/4C8CZx2rBhAyIiIpCXl1fotj4+Pvjiiy9w7NgxrFu3Ds2bNy/w35Curi7GjBmDMWPGyFam+ueff7B06VJ8//33sLW1xZdffim3TYMGDQr8d01EpR+TCyIA9vb2GDJkiGxuxfHjx3HmzBm4uLgUuN1///2Hzz//HKamppg2bRocHR1hZGQEiUSC8ePHK51YWtDqSqIYE5SBNysdderUCTVr1sScOXNQrVo1GBgYQCKRYMCAAUovPN7uBVC33Nxc9O/fHzdu3MDff/+tcLElPc4NGzagUqVKSttQduGoTsOGDUPXrl0xYsQIlCtXTuEi6W1CCNjY2BS4ipS016M470VJfCbedeXKFejq6qr9vAoh0KBBAyxcuDDfOu8mHso+e0IISCQS7N27N9/z8e7nSJ3nTVp/woQJ+c5rKuq8g5Kkra0td/Hep08fdO/eHSNHjpRN3M5P586dUblyZQQGBiIyMhIrV64s8n4NDAzg4uICFxcXtGvXDp06dcLatWsL/HdDRGUTkwuit0gkErRo0QLHjx/HkydPCq2/Y8cOpKSkYPfu3XLDl4A3d06VLfVZFDY2NjA2NsatW7cUXrtx44ZC2ebNm5Gbm4u9e/fK9ZakpqYqvVOeH+mF561bt2Qr0BS03/z4+vpi7969WLFihdKhKNJJ7tbW1oXe5VRXTO/q1KkTqlSpgoiICAwcOBDm5ub51q1Vqxbu3LmDli1bFrpkqrreC3U6ePAgHj58iA4dOqh9Um2tWrXw4sULtG/fXjbEqLjt7Nu3D3Z2dnITxt9XzZo1IZFIcOnSpUL3DyhevKtC+lm9fv16vp9VdSd3Wlpa+OWXX/DZZ5/h+++/L3Dolra2NoYMGYLZs2fDwMCg2IlBy5YtAaBIfyOJqOzhnAsqkyIiIpCTk6NQnp6eLvtyfnu4gLGxMRISEhTqS++cvnuXdPXq1e/1rAxtbW10794d586dk1vqVAiBuXPnFjmOWbNmFWm4hFTHjh1hYGCA5cuXIy0tTVb++PHjIj/7YfHixVixYgXGjRuHUaNGKa3Tr18/6Onpwd/fX2E8PgAkJSXJnv6rjpiU0dLSwvLly+Hv74+JEycWWHfIkCHIy8vD5MmTlb7+9nAZdb0X6nL16lX4+PhAR0cHQUFBam9/yJAhePbsWb49F4UNJZLy8vICAEyZMgW5ubnFbuddlpaW6Nq1K/bu3at0voP0fWrcuDHq16+PkJAQpUOXcnJylP4NeFvHjh1hZGSEpUuXIjk5WVaenJyMpUuXwtjYWLYylTrVqlULAwcOREREBI4dO1Zg3W+++Qb+/v4ICQkpcIjc3bt3ce/ePaWvSZdxLu6wRCIq3dhzQWWSn58fXr58iR49eqBBgwYwNDTEo0ePsHnzZty5cwdDhgxBgwYNZPVbtmyJgwcP4ueff4adnZ1siEvXrl1haGgoW4LTwsICx48fxz///IMaNWooTWCKasaMGdi7dy+6d++OsWPHokqVKvjrr7/w4sULhbqenp5YtGgRunXrhpEjR6JcuXKIiIjAlStXYG1tXeR9WlhYIDg4GN9//z1at26NIUOGIC0tDSEhIahVq5bCcwvede3aNUyYMAEVK1aEs7MzNm7cKPd6jRo10KpVK1SpUgUrV67E8OHDUbduXXh5ecHe3h4vXrzA1atXsXPnTty4cQMODg7vHVNBevToIbeEbH6ky88uW7YMFy5cQPfu3WFtbY3Hjx/j5MmTuHfvnuyCVF3vhapycnJk5zs7O1v2hO69e/fC0NAQmzZtQqtWrdS+33HjxiEiIgI//PADDh8+jPbt28PU1BT//fcfDh06BH19faXPAnlXs2bNEBAQgICAADRq1Ah9+/aFra0tnj59Khvrn5WVVawYly1bhtatW6Nr167w9vZGkyZNkJ6ejtOnT8PBwQE///wzJBIJwsLC0L59ezg5OWHYsGGoV68e0tLScO/ePYSHh2P27NkKz2p5m7m5OebOnYvRo0ejRYsWsrrr16/HvXv38Ouvv8LMzKxYx1CYKVOmYOPGjfD391d4IN7b7OzsEBAQUGh7ly9fRv/+/eHq6go3NzdUqVIFqampOH36NLZt2wYTExPZUrtvO3r0aL5PuB80aJDCE+GJqBT68AtUEWne/v37xbfffiucnJyElZWV0NbWFpaWlsLNzU2sXbtWbnlKIYS4c+eO6NixozAxMZEtrSh15MgR0aZNG2Fs4XuH2QAAAlRJREFUbCzMzMxEt27dxNWrV4Wrq6uwt7eXa0fZ0p9C/P8lI99d6vLKlSuiY8eOwtDQUFhYWIiBAweKuLg4pUvR7tixQzg7OwtDQ0NhZWUl+vfvLx4+fKh0n8q2f1tISIioXbu2KFeunKhRo4ZYtGiRWLduXaFL0UqPI7+fd/d57Ngx4eHhIWxsbISurq6oVKmScHNzE/Pnz5ctW6tqTPl5eynagihbilZqw4YNwsXFRZiYmAg9PT1hb28vPD09xe+//y5XTx3vRVGW+ZVydXWVO896enqiYsWKon379mLWrFni6dOnSrdTx1K0QrxZkveXX34RTZs2FYaGhsLQ0FDUrFlTDBw4UOzfv19WL7/P+dv+/vtv0alTJ2FhYSHKlSsnqlSpIrp06SJWrlwpV0/V8/b48WPx9ddfi6pVqwpdXV1Rvnx50bFjR3Hw4EG5ejExMeLrr78W9vb2QldXV1haWgpnZ2cxadIk8d9//+Ub99vCw8NFq1atZOeiVatWYseOHQr1irsUbX4GDBggAIioqCghhPxStIV5dynauLg4sWDBAtGlSxdhb28v9PX1hZ6enqhZs6YYOXKkuHv3rtz2hS1FC0BkZ2cX+ViJ6NMlEUJNswWJiIiIiKhM45wLIiIiIiJSCyYXRERERESkFkwuiIiIiIhILZhcEBERERGRWjC5ICIiIiIitWByQUREREREasHkgoiIiIiI1ILJBRERERERqQWTCyIiIiIiUgsmF0REREREpBZMLoiIiIiISC2YXBARERERkVowuSAiIiIiIrX4f0LtOEKRQ4mpAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = forest_plot(\n",
    "    title=title,\n",
    "    experiment_names=datasets,\n",
    "    label_x_axis=\"Standardized Mean Difference of RMSE\",\n",
    "    effect_size=effect_size,\n",
    "    fig_width=8,\n",
    "    fig_height=8 # higher height because we have many (7) test sets\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4ffdf9f-24cb-4af2-8be7-6242331da32e",
   "metadata": {},
   "source": [
    "All confidence intervals (CI) lie on the left of the zero-effect (dotted) line, with none crossing it, suggesting that the use of bias terms consistently and significantly improves matrix completion performance (smaller error). \n",
    "Notably, nearly all experiments contribute similarly to the overall effect calculation, except for the 'amazon-clothing' dataset, which shows a less confident effect estimation.\n",
    "This reflects the inverse relationship between the variance of an experiment's effect-size and its weight in calculating the summary effect. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b07a6797-0887-4855-a7bf-5b76eca16f9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_name = \"mf_vs_mf-bias_rmse\"\n",
    "# save as pdf for latex integration\n",
    "plot.savefig(fname=fig_name+\".pdf\", dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17d2579f-240c-4cca-b9fe-de62de726944",
   "metadata": {},
   "source": [
    "# NDCG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fd6752c2-8cdf-4e3e-ac3c-54b5ba7d69c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "title = \"MF vs. MF-bias\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "afe5bbd0-c885-4ec4-8a71-97a480544d42",
   "metadata": {},
   "outputs": [],
   "source": [
    "effects = AggregatedPairedMetrics(\n",
    "    treatment=experiments[\"MF-bias\"].ndcg.get_metrics(),\n",
    "    control=experiments[\"MF\"].ndcg.get_metrics()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f3b15fd5-8f4b-4861-a986-854df7d826c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "effect_size = analyze_effects(datasets,\n",
    "                              effects=effects,\n",
    "                              effect_type=\"MD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b72136fe-b463-4847-beb4-9a80338ac3c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>eff</th>\n",
       "      <th>ci_low</th>\n",
       "      <th>ci_upp</th>\n",
       "      <th>p</th>\n",
       "      <th>w_re</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>amazon-clothing</th>\n",
       "      <td>-0.026760</td>\n",
       "      <td>-0.033196</td>\n",
       "      <td>-0.020323</td>\n",
       "      <td>4.440892e-16</td>\n",
       "      <td>0.107380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amazon-digital-music</th>\n",
       "      <td>-0.008537</td>\n",
       "      <td>-0.010142</td>\n",
       "      <td>-0.006932</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.158909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amazon-office</th>\n",
       "      <td>-0.000434</td>\n",
       "      <td>-0.001242</td>\n",
       "      <td>0.000375</td>\n",
       "      <td>2.930711e-01</td>\n",
       "      <td>0.162775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amazon-toy</th>\n",
       "      <td>-0.008101</td>\n",
       "      <td>-0.009108</td>\n",
       "      <td>-0.007094</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.162036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>filmtrust</th>\n",
       "      <td>-0.048758</td>\n",
       "      <td>-0.057333</td>\n",
       "      <td>-0.040182</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.084681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>movielens-10M</th>\n",
       "      <td>-0.001074</td>\n",
       "      <td>-0.001523</td>\n",
       "      <td>-0.000625</td>\n",
       "      <td>2.719976e-06</td>\n",
       "      <td>0.163711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>netflix-small</th>\n",
       "      <td>-0.000911</td>\n",
       "      <td>-0.002241</td>\n",
       "      <td>0.000419</td>\n",
       "      <td>1.795993e-01</td>\n",
       "      <td>0.160508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>combined_effect</th>\n",
       "      <td>-0.010064</td>\n",
       "      <td>-0.013651</td>\n",
       "      <td>-0.006477</td>\n",
       "      <td>3.808665e-08</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           eff    ci_low    ci_upp             p      w_re\n",
       "amazon-clothing      -0.026760 -0.033196 -0.020323  4.440892e-16  0.107380\n",
       "amazon-digital-music -0.008537 -0.010142 -0.006932  0.000000e+00  0.158909\n",
       "amazon-office        -0.000434 -0.001242  0.000375  2.930711e-01  0.162775\n",
       "amazon-toy           -0.008101 -0.009108 -0.007094  0.000000e+00  0.162036\n",
       "filmtrust            -0.048758 -0.057333 -0.040182  0.000000e+00  0.084681\n",
       "movielens-10M        -0.001074 -0.001523 -0.000625  2.719976e-06  0.163711\n",
       "netflix-small        -0.000911 -0.002241  0.000419  1.795993e-01  0.160508\n",
       "combined_effect      -0.010064 -0.013651 -0.006477  3.808665e-08  1.000000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "effect_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9d96046f-6664-4db5-bb5f-90742367bdc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = forest_plot(\n",
    "    title=title,\n",
    "    experiment_names=datasets,\n",
    "    label_x_axis=\"Mean Difference in NDCG@10\",\n",
    "    effect_size=effect_size,\n",
    "    fig_width=8,\n",
    "    fig_height=8 # higher height because we have many (7) test sets\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8812777-27ae-49e1-99cf-146d1f7e56c0",
   "metadata": {},
   "source": [
    "Regarding ranking performance, we generally observe a decline when bias terms are introduced, suggesting potential overfitting.\n",
    "While introducing bias terms enhance matrix completion, it seems to negatively impact ranking performance.\n",
    "Notably, for individual experiments using 'amazon-office' and 'netflix-small' datasets, we find no significant ranking performance differences, as their corresponding confidence intervals cross the zero-effect line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "57a19f5b-8d5c-4da5-89ef-86ba82973406",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_name = \"mf_vs_mf-bias_ndcg@10\"\n",
    "# save as pdf for latex integration\n",
    "plot.savefig(fname=fig_name+\".pdf\", dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4c15d46-6613-46d3-aa59-4a3309982539",
   "metadata": {},
   "source": [
    "# MF vs. BPR\n",
    "In our second case study, we evaluate the effect of using Bayesian probabilistic ranking (BPR) - treatment - versus matrix factorization (MF) - control - on ranking performance (NDCG@10).\n",
    "This comparison is conducted across all datasets, as well as exclusively on movie and retail datasets.\n",
    "## All Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "241404be-5e52-41f4-93c3-75c9a2b61f35",
   "metadata": {},
   "outputs": [],
   "source": [
    "title = \"MF vs. BPR\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1e8a6fbc-4672-41b3-80f8-8ba9c68a333e",
   "metadata": {},
   "outputs": [],
   "source": [
    "effects = AggregatedPairedMetrics(\n",
    "    treatment=experiments[\"BPR\"].ndcg.get_metrics(),\n",
    "    control=experiments[\"MF\"].ndcg.get_metrics()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3873718e-8ff5-4f36-8d6f-3c7ea453dc0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "effect_size = analyze_effects(datasets,\n",
    "                              effects=effects,\n",
    "                              effect_type=\"MD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d690698b-063e-4bc1-913d-096f6233747d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = forest_plot(\n",
    "    title=title,\n",
    "    experiment_names=datasets,\n",
    "    label_x_axis=\"Mean Difference in NDCG@10\",\n",
    "    effect_size=effect_size,\n",
    "    fig_width=8,\n",
    "    fig_height=8 # higher height because we have many (7) test sets\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88839558-2f0e-41b1-b1c1-d23eedec2cf1",
   "metadata": {},
   "source": [
    "Looking at the summary effect, we generally expect a boost in ranking performance when choosing BPR over MF.\n",
    "Although the summary effect estimate is less certain than in the prior meta-analysis, it is still significant.\n",
    "The difference in ranking performance between individual experiments with retail and movie datasets is immediately noticeable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7a6888de-250b-498b-aff0-fa9411b89522",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_name = \"mf_vs_bpr_ndcg@10\"\n",
    "# save as pdf for latex integration\n",
    "plot.savefig(fname=fig_name+\".pdf\", dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "792dee8c-a6d0-4cd2-af52-0c0c39dcec8c",
   "metadata": {},
   "source": [
    "# Retail Only Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9eae1778-9425-4be1-a3ce-dac1bc89db25",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [\"MF\", \"BPR\"]\n",
    "datasets = [\"amazon-clothing\",\n",
    "            \"amazon-digital-music\", \n",
    "            \"amazon-office\", \n",
    "            \"amazon-toy\",]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "32557a2a-26de-4520-a556-e3838f18989b",
   "metadata": {},
   "outputs": [],
   "source": [
    "experiments = process_experiment_files(\n",
    "    \"runs\", \n",
    "    models, \n",
    "    datasets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "53ab39d3-cc91-4c6f-8556-79792a283d46",
   "metadata": {},
   "outputs": [],
   "source": [
    "title = \"MF vs. BPR\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "12de93e4-f462-4b9d-bdac-f99e515722f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "effects = AggregatedPairedMetrics(\n",
    "    treatment=experiments[\"BPR\"].ndcg.get_metrics(),\n",
    "    control=experiments[\"MF\"].ndcg.get_metrics()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "49eab41b-516c-4b7c-9a6e-4b5e34b76ac7",
   "metadata": {},
   "outputs": [],
   "source": [
    "effect_size = analyze_effects(datasets,\n",
    "                              effects=effects,\n",
    "                              effect_type=\"MD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "63df2d78-3d24-471a-96b1-0e46b53ea9c8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = forest_plot(\n",
    "    title=title,\n",
    "    experiment_names=datasets,\n",
    "    label_x_axis=\"Mean Difference in NDCG@10\",\n",
    "    effect_size=effect_size,\n",
    "    fig_width=8,\n",
    "    fig_height=8 # higher height because we have many (7) test sets\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a640770c-83d9-4992-93bf-a328e727f119",
   "metadata": {},
   "source": [
    "Focusing on retail data only, we expect a performance decline for 'amazon-clothing', no significant difference for 'amazon-toy', and performance gains for 'amazon-digital-music' and 'amazon-office'.\n",
    "On the whole, we do not expect significant differences when choosing BPR over MF for retail datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e7e00fe2-a2ba-45fc-9535-24ab46fa37af",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_name = \"mf_vs_bpr_ndcg@10_retail\"\n",
    "# save as pdf for latex integration\n",
    "plot.savefig(fname=fig_name+\".pdf\", dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32e3c56d-4a34-4c91-baf4-39a7fed5f3b3",
   "metadata": {},
   "source": [
    "## Movie Datasets Only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "498cb8f6-3e57-4266-95da-382a30763eca",
   "metadata": {},
   "outputs": [],
   "source": [
    "models = [\"MF\", \"BPR\"]\n",
    "datasets = [\"filmtrust\", \n",
    "            \"movielens-10M\",\n",
    "            \"netflix-small\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "97c2d097-fcfe-4d6e-9c4a-6e76e86a79e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "experiments = process_experiment_files(\n",
    "    \"runs\", \n",
    "    models, \n",
    "    datasets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "38a2f6c5-c345-45e1-9ae0-7b23ce7e5976",
   "metadata": {},
   "outputs": [],
   "source": [
    "title = \"MF vs. BPR\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d6269590-23b0-42aa-b7db-2c0ee68ab7b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "effects = AggregatedPairedMetrics(\n",
    "    treatment=experiments[\"BPR\"].ndcg.get_metrics(),\n",
    "    control=experiments[\"MF\"].ndcg.get_metrics()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "969e7ca0-8179-43b4-aabd-484a4ae58f45",
   "metadata": {},
   "outputs": [],
   "source": [
    "effect_size = analyze_effects(datasets,\n",
    "                              effects=effects,\n",
    "                              effect_type=\"MD\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "eb467013-8ee6-4e40-88e7-0c9484f878d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = forest_plot(\n",
    "    title=title,\n",
    "    experiment_names=datasets,\n",
    "    label_x_axis=\"Mean Difference in NDCG@10\",\n",
    "    effect_size=effect_size,\n",
    "    fig_width=8,\n",
    "    fig_height=8 # higher height because we have many (7) test sets\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a7d45d7-c70d-4049-a9a2-1209f06b58b6",
   "metadata": {},
   "source": [
    "In contrast, for movie datasets, we expect consistent and significant improvements in ranking performance when employing BPR."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "6bdd9917-24f4-4058-8afe-838f75737be8",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_name = \"mf_vs_bpr_ndcg@10_movie\"\n",
    "# save as pdf for latex integration\n",
    "plot.savefig(fname=fig_name+\".pdf\", dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d51cb5-67b0-4154-812c-6969aeffb9d5",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}