{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8421a2db-655d-45b3-ae1e-25538e23f193",
   "metadata": {},
   "source": [
    "# Using MolMIM Embeddings to Cluster Molecules\n",
    "\n",
    "```{note}\n",
    "This notebook assumes that you have the MolMIM NIM available at the following address: `http://localhost:8000`. If your container is available at different address, you will need to modify the URL below.\n",
    "```\n",
    "\n",
    "Generative AI models, such as MolMIM, can be trained on molecular structures to learn a representation of molecules, often referred to as a \"molecular embedding\". These embeddings are high-dimensional vectors that capture the essential features and properties of molecules.\n",
    "\n",
    "Once trained, these models can be used to generate embeddings for new, unseen molecules. These embeddings can then be clustered using various clustering algorithms, such as k-means, hierarchical clustering, or density-based clustering.\n",
    "\n",
    "**Significance of clustering molecular embeddings:**\n",
    "\n",
    "Clustering molecular embeddings can reveal meaningful patterns and relationships between molecules that are not immediately apparent from their chemical structures. By grouping molecules with similar properties and behaviors, clustering can:\n",
    "\n",
    "1. **Identify molecular families**: Clustering can help identify groups of molecules with similar chemical structures, properties, and biological activities, which can be useful for understanding the relationships between molecular structure and function.\n",
    "2. **Reveal functional relationships**: Clustering can uncover functional relationships between molecules, such as molecules with similar biological targets or mechanisms of action.\n",
    "3. **Improve molecular property prediction**: By identifying clusters of molecules with similar properties, clustering can improve the accuracy of molecular property prediction models, such as those used for toxicity prediction or drug design.\n",
    "4. **Guide lead optimization**: Clustering can help identify clusters of molecules with similar biological activities, which can guide lead optimization efforts and accelerate the discovery of new drugs.\n",
    "5. **Uncover novel molecular mechanisms**: Clustering can reveal novel molecular mechanisms or biological pathways by identifying clusters of molecules with similar biological activities or properties.\n",
    "\n",
    "In the following notebook, we provide an example using the MolMIM NIM to generate embeddings for a small set of molecules. We then use those embeddings to cluster the molecules hierarchically.\n",
    "\n",
    "We start by importing the necessary libraries, including `requests` for making HTTP requests, `json` for working with JSON data, `pandas` for data manipulation, `numpy` for numerical computations, `seaborn` for data visualization, and `matplotlib` for plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "45538005-f2d6-40e9-9598-f0055e948e71",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3133ac59-0644-43b0-a69a-bd194ead85f6",
   "metadata": {},
   "source": [
    "The next block defines the URL and headers for making an HTTP request to the MolMIM NIM running at `http://localhost:8000/embedding`. The headers specify that the request body should be in JSON format and that the response should be in JSON format as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7cefd343-22fb-4bd8-89b7-aff1724c26c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the URL and headers\n",
    "url = \"http://localhost:8000/embedding\"\n",
    "headers = {\n",
    "    'accept': 'application/json',\n",
    "    'Content-Type': 'application/json'\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ae91c94-2197-4251-965c-d416a35a27df",
   "metadata": {},
   "source": [
    "This block defines a list of molecule sequences in SMILES format. These sequences will be used to generate embeddings, which are numerical representations of the molecules. The molecules here are a very small subset of those found in the ZINC15 database."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "657b9854-1752-4190-b8ba-03f57627e5a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "molecules = [\n",
    "    \"CC[C@@H](OC)[C@H](Cl)C(=O)N1CCCCC1\",\n",
    "    \"C[C@H]([C@@H](C)O)S(=O)(=O)CC(=O)N1CCC1\",\n",
    "    \"CCOC(=O)C1CCN(C(=O)[C@@H](N)C[C@H](C)CC)CC1\",\n",
    "    \"CCN1CCN(C(=O)[C@H](C)N2C[C@@H](C)[S@+]([O-])[C@@H](C)C2)CC1\",\n",
    "    \"C[C@H](CC(N)=O)C(=O)N1CCCN(C(=O)CN2CCC[C@H]2C)CC1\",\n",
    "    \"CCC1(NCCC[C@H](C)O)CCN(C(=O)CC2(O)CCC2)CC1\",\n",
    "    \"CCOC(=O)[C@@H]1CCCN(C(=O)CN(C)[C@@H](C)C(=O)N2CCC[C@@H](C(=O)OCC)C2)C1\",\n",
    "    \"NC(=O)C[C@@H](N)C(=O)N1CCN(C(=O)CN2CCCC2)CC1\",\n",
    "    \"COC(=O)C[C@H](N)C(=O)N1CC[C@H](C(=O)OC)[C@H](C)C1\",\n",
    "    \"C[C@H](NC[C@@H]1[C@@H]2CCC[C@@H]21)C(=O)N1CCCCC1\",\n",
    "    \"CCN(CC(F)(F)F)C(=O)[C@@H]1CCCN(C(=O)[C@H](C)C(C)C)C1\",\n",
    "    \"CO[C@@H](C)C(=O)N1CCC(C)(C(N)=S)CC1\",\n",
    "    \"CN(C)C[C@@H](N)COCCC(=O)N1CCCCC1\",\n",
    "    \"CON(CC1CC1)C(=O)N1CC[C@@H](C(N)=S)C1\",\n",
    "    \"CC(C)N1CCN(C2CN(C(=O)[C@@]3(N)C[C@@H]3C)C2)CC1\",\n",
    "    \"CCNC(=O)CC(=O)O[C@@H](C)C(=O)N1CCC[C@H](C(=O)OCC)C1\",\n",
    "    \"CCN(CCC(N)=S)[C@@H](C)C(=O)N1CCCCCC1\",\n",
    "    \"CC(C)[C@@H](O)CN1CC[C@H](C(=O)N(C)C)C1\",\n",
    "    \"CC(C)C[C@@H](N)CC(=O)N1CCOC[C@@H](CO)C1\",\n",
    "    \"C[C@H](N)[C@@H](C)C(=O)CC1CCCC1\",\n",
    "    \"CCCC[C@H](C)N(CCCC)C(=O)[C@H]1CCCN(C(=O)[C@@H](C)CC)C1\",\n",
    "    \"C=C(C)CCNC[C@@H](C)N(C)C(=O)[C@@H]1CCCN(C(C)=O)C1\",\n",
    "    \"CCC(CC)CC(=O)O[C@@H](C(=O)N1CCC[C@@H](C(N)=O)C1)C(C)C\",\n",
    "    \"C[C@@H](C(=O)N1CCN(C(=O)C(=O)N2CCCC2)CC1)C(F)(F)F\",\n",
    "    \"CCC(CC)[S@@+]([O-])[C@@H](C)C(=O)N1CCC(C)CC1\"\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8136923e-e62e-4e71-ae28-6ea37eb18772",
   "metadata": {},
   "source": [
    "This block converts the list of molecule sequences to a JSON string, makes a POST request to the server with the JSON data, parses the response as JSON, extracts the embeddings from the response, and converts the embeddings to a Pandas DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "58db51a0-8d95-4cd3-855e-5f058e62f50f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert the sequences to a JSON string\n",
    "data = json.dumps({\"sequences\": molecules})\n",
    "\n",
    "# Make the API call to get the embeddings\n",
    "response = requests.post(url, headers=headers, data=data)\n",
    "\n",
    "# Parse the response as JSON\n",
    "embeddings = json.loads(response.text)[\"embeddings\"]\n",
    "\n",
    "# Convert the embeddings to a Pandas DataFrame\n",
    "df = pd.DataFrame(embeddings)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f3d3af2-af81-4379-9a83-52b9e50e5f33",
   "metadata": {},
   "source": [
    "This final block plots a hierarchically clustered heatmap using seaborn. The heatmap shows the similarity between the molecule embeddings, with similar molecules clustered together. The x-axis shows the embedding dimension and the y axis shows the index of the molecule in the original list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "af3e624b-7400-40dd-ab4f-77198dc4b673",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6FzJ2RFdINxqnL54BwOzO33Jf8nIWFq4HYAdTycsIfaCu81naC0YD8GTTFH5vXuV+GnpHcsahuwC4t/h6Th2xC4DW5Ag6+nMBmJ7cyPZoyNeslZ+m+6J3h7qNT2ZMzhE64wVhnVg+T2wO+flY7tfZN+MKAB7cNoZFkw+HcrpvBb885UtMrWgFIC+9hyhhrMikj/REPwDPdU6kIr8TgNy0XkZ17gRgY8ZpDCaijM49CsCvnq1iRHH49+9FtbsoP/o8AJsKz6M0sy1ss+FpNpZfCsCojCM09FdRFw37uSM+iamR0O+y7v0eaWcvCukOLqFmRA8AM/rXcDB/CusbKgGYWXWUqfvvBWCgsIye/AoA0uL99GaFvp4Xa2Fl9wIALsl4iERaFvd2LQz1lp4kPRrGgZH5vcw5dh8AuyoXUtu5MZRlYQ17YjWc1vqbUIbZV3LhujCmHL7or0gjtIeuRAHrG0YCcHp1A2MPhjEwOthPMprG74r+DICpRfs41BfyP/fAj0jkFgKwvvQyMl8YB8szmska7GF9dxg7aguPMpAMpz4RkpQlG8O+9R4jfSC0rR+0XMqSsWEc//W+WSwcf5AdraMA6I9HqD8IABOrk8QGQj0daoZzpnQAcLCjgJWPhb/ftyTJ6OQ+Clv3AvB03mIm5u49Xp470maEekoboLY/jC97M6cwMnKEI4kqAKa1PMKjWZcDcEbGKrLbQrtr+/nPafqb/wAgSYT8aHco//adfPm5c/mHmY8BsDXnNKb2hT50tGAsoxrD2NdeOoGMeAyAgv2bOFZ3OoeS1aEM9xXzttrnAFjVNp05pfUhz31tbE1MD/uyNZP3zNkOwMqGaZxZfYDBF8q2rb+Amb1PhvXTzyMShhp+/bt+/vniHQA0plfTPZgNwL7WAmaOPMKIwVAfz3TMZPKI8Peo7p1EXrib8VD+JCpiofyO5lSzoXEM6zeFfXjHwkGy00JfW7O3lHPqwvhc1n+IgfRwTNs9UMex7rDNvKw4a7el8ZHuz4T0zrmWwWgmABmJPorv/Xb4e8o01laHMfVodzaT/vViCr8QxvW0xCA/3X0KAH956BM8Nu+TAJz9xD8fH1M6M0awrrEGgNkVDaQRp6ivGYBENI2Clj0A9BWM5HBOGGubY8V8885wHPr6lRt5OvNCqvLC57LBwwykhf3Z3DWRU7NDW93UP4Nzdv0nAP2101iTGfrmrLRN5B3bR/OocIzK7W+nNSv0m7x4O91poX//YsMYxoUhla7eKO9q+FzI18yzyew+BtvDdr4z6tNMrArl/OyudK6cHY63XYl8pmz6fsjXjL+gNP0Y5Q98C4Du85dy545wjLph50fYseTTYftpPVT97F8B+Om8r3Fu7X4ARnz302QtuYpYbikAD7Scxoi80KdPz1zD7vTQBvPTu6ns2Q3AqvgZ7G/O4PRxoWxru7fQUhDa86G+SmrTQzkfTFQzvTO0za6CKlrTw1izt6Oc0zPX0JAVjoVxorTE8vm9idlh/axv/SvH3v8FAJ7aV0VFccjXBX2/YmPJRZy6PZzn3Vv1IeaXhD69pnUK5+SF42VavJ91ydPCfuZ0M7FzDY3F4Rg2oreB9fG5AEzK20tPJGx/dNtmIi8cLx9iMWMKw3HkSFc+p+Vv4rubQxu8bHbz8T6VSEapyghjRXHnQbKbQz3tqlvMsb5CTu15BIDbmxYzecwAAHMyniWSCOcId+w+g3OntAEwJrmXTX2hzE9LPEF3Xjl7BusAyE2PMfXQgwAMFIzg/v6LAGhsiXDZ1FBmo59/kNsGbmJU2QtlWd5ORTTkrS+ay8M7x4blyuIs6r871E3JWIp2PhNWSM/g2IQzj/fP57vGcd6h2wHIvuwDvBE5gy1JkiRJUgoYYEuSJEmSlAIG2JIkSZIkpYABtiRJkiRJKWCALUmSJElSChhgS5IkSZKUAgbYkiRJkiSlgAG2JEmSJEkpYIAtSZIkSVIKGGBLkiRJkpQCBtiSJEmSJKVA+onOgCRJkiRJr6eBgQEOHjxIe3s7AEVFRVRXV5Oe/upCZANsSZIkSdKbyqJFi17295UrV/7R7zdt2sRtt93G008/zcDAAMlkkkgkAkBGRgYLFizgb/7mb5g1a9aw8nXSBdi33HILsVjsRGdDb1ArVqw40VmQJEmS9Bp45JFH+NCHPsSMGTP42Mc+xvjx4yksLASgo6OD3bt3c9999/Hud7+b2267jYULFw55GyddgB2LxQyiJEmSJOlN7E/NUL+cFStWcPXVV/OpT33qj/6+YMEC3vve9/LJT36Sr3zlK8MKsH3ImSRJkiTpLW/Pnj1cdtllr7jc5Zdfzp49e4a1DQNsSZIkSdJb3qhRo1i1atUrLrdq1SpGjRo1rG2cdJeIS5IkSZJOPjfeeCO33nor+/fv59JLL6Wuru74PdidnZ3U19dz//3385vf/IbPfvazw9qGAbYkSZIk6S1v6dKl5Obm8tWvfpVf//rXx58e/nvJZJLa2lq+9KUvcfnllw9rGwbYkiRJkqSTwuWXX87ll1/OgQMHqK+vp6OjA4DCwkLq6uqorq5+VekbYEuSJEmSTiqlpaV/MpgeGBigubmZqqqqIafrQ84kSZIkSSeF2267jfnz5zN37lzOO+88vve9771kma1bt7Jo0aJhpW+ALUmSJEl6y/vZz37GbbfdxuLFi7n11luZO3cuy5cv54YbbqCrqysl2zDAliRJkiS95X3ve9/j/e9/P5/5zGd417vexZe//GXuuOMOdu7cyXve8x6am5tf9TYMsCVJkiRJb3n79u1jwYIFf/DdvHnz+PGPf0w8Hueaa66hvr7+VW3DAFuSJEmS9JZXWFhIS0vLS76vrKzkBz/4ARUVFbz73e9mw4YNw96GAbYkSZIk6S1v+vTpPPzww3/0t4KCAm6//XZmz57N5z//+WFvwwBbkiRJkvSWt2TJEhoaGmhra/ujv2dlZXHbbbexdOlSRo0aNaxtRJLJZPJV5PFNZ9myZaxYseJEZ0NvQqu3tTOt/TEAugur2JaYCsDMxHr2Z08GYEzfLg5ljQ9/x3bws8azGTViEICzH/oIDVf9fwBkR3tpGRgBQEF6F6NbNwMQT8ukrWAMAMlIlG0dYzk7vhKAbQVncLizAICL9/wb22ZfB8BgIp3KSAMAO/vGc+bO/wagcdalHEuUMSJ6DIDHD01ixqijAHT255AWCV2/NZbN2MKwTGm8kcZoFfnRbgBy4p38Zs+MsJ/VXTR35wBwXvqjfHH9WQBcf14Tdz1dCcCNp20jPd5PVl8nAPd2LWTeqAMA7GivYkpR+Dt3sJPO9BIAehPZ7G0bQUV+2GZ12n6iyQQAHekjGLsqvDohUjGaQ7Vhm1vaxnJG9joA0gdjPBs9jcFE+PfC4uxexveH8vzm9gW8Z9YWAJ5qmc5lyV8B0J9bwtaMuaHMkxHmrfoiDQv/EoB1jTWcW/pcWC4tm8x4DIDNsSmMLzgIwOidv6OzeibtWeUArG2s5cLCZ/i9wfRsANoyyqlqC9uPxAfJOBrqqWfMVO5pO4dLy1YD8IPd87m++lEAsloOsG/s+QA8smsM54w/DEDtyq/xk8n/wtwxjSE9kiSSYZ+LIq2UH9oIwNaKi2jryw35/PTbKFgexrv8nlD3mRtDG76j8lbOqAsP8pj8zDcYnDwHgIOls2mOFQNQkd3C1mNVXBz/NQCr8y9hd1NoA909Sd5X9SAAG7LPoW8wHYCynE6mPPU1ABrO+Qu6E7lsbSwLdZM7SDQa2t1paatpyJkIwLijqzhcfkpYJnaEtuzQno72l9A9kMWE3H2hXCMZjN73BACPl17DvGgov/T+bh6LhFdplOb0MDW2lkMFUwD4959m85GlvQB8494iJozPA6CucpBT8reFdXY8QcO0S8K+NNdSlD1wPJ/FWT2MSAuXkuX1tbGqdzYAZ2Svo2BfKPMN466lMrOJdUfrALgw6zGeToa2el7bj3lixNUAlGT30NyTD8DUgj00DVYAsH5fEWePP0JmpB+AJBG2Hgvv3VxQ8CxF+8Jlal/vv4FrJz0LwI74JKZEng/5attPZHCQA6PPBOBwbxmRF/p3RXYLZb2h3+VvfZL7apcBUJgzwGl9j5CIhnoD6M8uDNvZeCo3zgl9qKhxGw/nLQVg0hcWM/av3wvAxqq309KTS2Z66KvJJFTlhXJ6ZOcobki/HYCBkko25Z4NwKyeJ+jNLSMtEfYzZ93DHDn7zwEY0XmAnTmhbHPTeukcDG14fHwb6wZC26wrOEJTXykzY08DsDn7DJJEAKjJ2M/Kg2FMzs5MMrq4B4B5R3/NPVl/xpkjtgKwqWsyI/PCU2Lb+3Po6Q/7396TxtX9Yax5qPjdTC4+FNJd/UMSo8cxkB/G6191XcjmbaE9fbrqdtrHnwbA012zuSAaZkR+2XUJZ44JbbYrkUcyGWFSy5MAfOPIEj7Y/2UADs19J+uPjgNgYcFank9OD/WZ0UdONEYskQVASVorR/pHAvDsvkLWrgn9dvlV+9gSD+tMzdhG4arQT+vP+gAVfftoyqoJ+zaQz5wjYexrHnMq69smHa+zs/PDOBqPZpAkQsmGBwD4efU/Mq0ijBm/3VrGn00N41jZrqd4pOovAJiT9RyPd4S6mV52mO7BXMrSQt4ea5jEWdXhHsadHWM4Ixn67Ve3nUsiHtrmqVMjtHWH8i/KjXNW9iry9m0K+zn+XZRlhPa0p6vqeD339KcxmAh/P7mmh6WLkiST4fPIrGOU9IZ62x6dyamNdwOwdfRiGjqKADg78ym+Ux/a47XTNlO6dy2xkaEOsp57gi2nfTCkFT1C+cH1hIJKEHnhVHlP7SJGt28l8/BuANaNew9TEiHPg2lZZPe28nur084B4Iy+h2koDeNb20ABkwaeI56WGbbZ20pPXqjbWHoe0WQcgI0dE5lUHMb+9MgAmfEYjzeG9j278jCbm8MYmZOZ4KJjL7Tb0vcyu3AHAM91TiQSioWzEr/lSPFU8uLtoa4j6Xx3bRh7/2HML+gvKD++n5kdTQB0lU843k8PZE1k8jPfYNWcfwCgKqeZMY98K6Q16wwOjwjnCAmiFMTD/ud3NdJSVEt+7Njxsrlj8ywALjnlGM09YaxJjyaozA31/NPVFcwYHzK9uPV2OsfMoD8jjAN53c38tOWCsP2SAS44+n0Anv3Ef1E5MwRAz3/wp4wpaKGyb+/xOtgRCf1jztF7GcwP5xz1BbM52hu2Py6/gVEHwnFka+UlPL2rmFNqw9hRkd3Cb3eG9yO/ve45CrqOANBeMJofbwl18b7xT5LeH85dDhVPp6ptCx0Fo0MZphVT++xPQhnOvpLuRNiXkkgLFdt/B8DjY95Ha08Glyd/GdKomHu8DXf8n3+h6KP/DMDO9OnEE2kAzN3yDQarQ/1F+3qIxAf4TW4YRxeM2MIt3wvH29MXjGLRpHDOcv+W0SyaFuo2mYyQE+0lbzC0h0gywUBaGGtGPPRdfnf65wAYiEe5iPsAuKvjct5Z+fTxct2XOZk1e8KYuGTcczzYMBOA6tI+zuy6B4DOEeOOp3uUkZQnj3AkGcpmT2sR88t2AdDQX8VvN4ZzpkMHu/jSOeEc5Rf9b6c4L5w/TyvZz1MH61ja8IWw/dPeTVc8HMvnThrBG5Ez2JIkSZIkpYABtiRJkiRJKWCALUmSJElSChhgS5IkSZKUAgbYkiRJkiSlgAG2JEmSJEkpkP7Ki7yx3HLLLcRisWGv39TUlMLcSJIkSZIUvOkC7Fgs9qreY71s2bIU5kaSJEmSpMBLxCVJkiRJSgEDbEmSJEmSUsAAW5IkSZKkFDDAliRJkiQpBQywJUmSJEknjfr6ej73uc/xd3/3d/zHf/wHjY2NL1lm9+7dXHfddUNO+033FHFJkiRJ0slt0aJFL/v7ypUr/+j3O3bs4JprriEzM5OxY8fy+OOPc/vtt/PJT36SK6644vhyXV1drFmzZsj5MsAeglf7Dm698b2aV8BJkiRJemP7yle+wvTp0/nv//5vcnNz6ezs5Itf/CI333wzBw4c4EMf+tCrSt8Aewhe7Tu4JUmSJEmv3p+aoX4lzz33HJ/73OfIzc0FoKCggM9+9rPMnj2bT37ykzQ1NfGpT31q2PkywJYkSZIknRT6+/vJysp6yfdXXXUVZWVlfOQjH+Ho0aNcf/31w0rfh5xJkiRJkk4KtbW1rF279o/+tnDhQr7zne+wbt06/umf/mlY6RtgS5IkSZJOCueeey4/+clP6Ovr+6O/z549mzvvvJNkMjms9L1EXJIkSZJ0Unjf+97HpZde+rIB9IQJE/jFL37Brl27hpy+AbYkSZIk6aSQn5/PxIkTX3G5SCRCJBIZcvpeIi5JkiRJ0v9j9erVXHfddUNezwBbkiRJkqQU8BJxSZIkSdJJYcmSJf+r5bq7u4eVvgG2JEmSJOmkUF9fz4QJE5g2bdrLLtfQ0MDhw4eHnL4BtiRJkiTppDBx4kTGjh3L8uXLX3a5Bx54gDVr1gw5fe/BliRJkiSdFGbNmsWmTZv+V8sO513YzmBLkiRJkk4KN954IwsXLnzF5RYuXMjKlSuHnL4BtiRJkiTppFBTU0NNTc0rLpednc3o0aOHnP5JF2BnZ2ezbNmyYa3b1NSU4tzozSQ3vZfeggoA2jPLaWzKBqCRBSxM3wBAffo0KiJHALi//Symj+6ksTMXgKzq0YzffjcAT1S/j9F5RwHY1FRFS3ERAE9vz2fexF4ATt97B9uqbqCleBwAMw7cQ3vp1QA0z15MLJ4JQFFGF52UAHBKci2rJ98IwJjIEUqjR9nbVw3A0t5vs7r/WgAmpe0gs78LgPRkD9Fj/QB8u+ltnD25lS0tY8K+taaRmRH2fyCRRl7mIACPDSxkyoS0UC6JTv521l4AMto6aC6dQkNabfgcS1LfWQnA0Y50DmSEv/c0j+PKkt8C8P3D53NV3UbW9cwA4J5Nk3jfuQdDmSVj7D09vH+wN55Na08eAMlkhIKGrQAcHH8eUwe2kSQCwEe+WcLX/jKUzcWntFC69VEAysdPIMZIAHKO7WdSeVi/IXMcjJ/KxqOhnGpKumhJC8tNWHcH9XPfA8DovGPs7gzlUjpyHOv6Z9PblXZ8nWQi3HGTFu+nOb0KgIlrv8uRue8AoHLjPSQqw2Ce1dXM+PJOjmaGQfvSaQdJ9IThuLeslp+vHQXA4lOPsr+zDICnJ/wL1+Tfz87EfABGcpjcWCsA+3Om0Dt6AQA9sUwm5dQD0Lz8R4zqCZdA1efO5GBHMRcOhnK/pvJR7ms8N5THguvpjod2uqNxBHlZcQDmdG+itySb+siZYX8Suzk983kADo+by8qjF4blsnbzwy3jASgbUUrkrA8CMDCQQUFGF5kZ4fKqCUWHiRLSzl2/ikdyzwIgfcpcRvSHfkMkQmVr2EZ1/WaemfZBnjoyEYBZlY20Vc0EoJBeNsfnAJCdN0hPayj/nIxMiETJiAwAcNXiMiD0qaWL4OltIS8JIkReuOxrsHwMlUeeBaCxvY5TJx0k8cIdVN97cgzvODMBQMWxDUyvCn3tQHwC0zJCPkenN3BkoIr60GzZOWM2C5t+CcD2MRczhd1hn/vaKCoMdV7Y3Uh+9BgAmXUT6BzIZc7+ewCI761n/xm3ApDXcYi9Ey8F4OzBNn59IOzze9LuZNuYS0Kec2dRlddGzgv7WZHTwui2zQC0Z1YTTYR+u3futfQ1hv0ak9vMtswzGHyh3fYn0pl/LGx/3pQ5JKKhba8acQXnDoY+NPDpz/FA91wAsnoTLOy7h8ejlwFwWtpq+gbzAXjH+KM0RU4P66RlMbU7lG1aXze78s5iZs9jAETH1FLU2wjA7/rP4azMMI4eTaviQFsBALOPrGLirPKQl0PjuGjEGjZkhnaTjMPInDYA9vSN5eyafQA83zqG+Y0/B6Bh7Nmc27+B7K7QV57fP50L4reHisrOYe2494Z8xnPoW7UOgOZTr6M8L4zJNQWFRAb7OFpcB0AJg7z97NCG2yOnMZCWFcpvMMJzRSFf0/JbaegNY8i06Bb2RifSlx/68ftrHmZz3g0ATDn6BJdEtgFwKGsW8/f/EoBHS5YyLa+Rn6yeAMDfzdzMhr6w/UQSvrrwdwDsyzqLtFhomxmDvRw5+88BqOzdQ05nI2Oj4ZzlaOlknim7EoAzVq3g4rGhPz1ReAW9GaGcR25dyYq+v+avp4bynFdwgJrdYdYmNvlKjiRDu82vmkRVXlimoGkvc0aF/rC9rZpzBh/kYUJbfVvJ46zvOg2AU7K3kr0/1M3gQJLq0eGgsv75AS48NRyHKrKayWztoG/rFgB6azKpeOBroWwv/weO9hUd3//N9WGs/Ph5m9jBDEqzQn7SGCSvOYx9jXmn0zzm1JB28hCx3HBMaMkaQ3t7GBuORSpoq7uU8fX3A5AcM44pbU8A8FjGpVzQ/hAAu2csZdxjXwcgd+zpZO7dyiN1fx3KgH5WD4QxeeGxn9FbGsb455jDpl1hm6dMqiCTPgDGxxt4ou9MZhftAGDDwGwaDoflLqtcR0tmOEZmpScY2RX2pS1/NLti45g8MrTh6rZNVOWE9ZsLxkFzaI+xgf9712d1YQsjB8KAtDNtPtsPl7CgMgZANBmndvQLp/+7t/LsvH8EYE9zDpdUheNFxmAvTTljAfjFk8X8Y1+M8uxQzjXrf8K2c/8WgKJoOxmE84fHD07gyudvA+DgRR+k5uATRI+Gh0PFxs9h8tgw3lbGD1KRFTm+nSdaQjtZOCtGW284r+rf8hzPVr6HWCyMQxcdfoJTJob6LEjvorEwHO9mf6SJRFXI55GcHkrjjTRnhWN5nDQyBkPZrCl9GyWZoa3lRnvpiJUCMKp9HdGusF+1A9somVrBsf7w2/6ukZw3sQGAvM5jHC6aAsCIvsNMrXlhTM2aytMHw/LjIgNkFceoOPTCOFZ5Hs9M/quw/mAftfFQZ88OnELm+DMAOGf/D2ivnsW+jPB5ZO++43U46vp3cVdz2M/LK9byTE8Y+7ee8hdUcCjk5eCzrBp5NYf2hPLcXzSWt10WxuE5I/fRGQ9/v7fuaY4QziW747lsbS7n8swHAGgsmUzl/f8FwIPzP89F8fsAWJd7Aeu4AICSZIL9mZMAKE5r4/lDJfzFQFhnU+LdnFezC4Cy1l08kP4OADJ7EozICcekDXsLuKHru3yh4f0A/Mu5K0l2hDw35VYcb4+LZqdxKHN22OfuxyESlvlZ/dmcP24Ph0dfBcDvdlVzRl0zb2QnXYD9Sjezv5zhBuaSJEmSpLc+H3ImSZIkSVIKGGBLkiRJkpQCBtiSJEmSJKWAAbYkSZIkSSlggC1JkiRJUgoYYEuSJEmSlAIG2JIkSZIkpYABtiRJkiRJKWCALUmSJElSChhgS5IkSZKUAgbYkiRJkqSTXk9PD/X19fT19Q07jfQU5keSJEmSpNfcokWLXvb3lStX/tHv4/E4X/3qV7n33ntJJpO85z3v4frrr+d//ud/+Pd//3f6+/uJRCJcffXVfPzjHyczM3NI+TLAHoLs7GyWLVt2orOh19CKFStOdBYkSZIkvUa+9a1v8c1vfpMlS5aQn5/PbbfdRktLC3fccQd//dd/zdSpU9m8eTPf/OY3qaio4IMf/OCQ0jfAHoLly5ef6CxIkiRJ0knvT81Qv5Kf//znfPjDH+YDH/gAABdccAE33HADH/3oR7nhhhsAWLhwIenp6fzyl78ccoDtPdiSJEmSpJNCY2Mjs2fPPv559uzZJJNJTjnllD9Y7pRTTuHIkSNDTt8AW5IkSZJ0UigrK2P37t3HP//+7/379//Bcvv372fEiBFDTt9LxCVJkiRJJ4XFixfzla98hZaWFvLz87nzzjtZunQp//Zv/0ZpaSlTpkxhy5Yt/Md//AcXXHDBkNM3wJYkSZIknRQ++MEPcvToUb71rW8xODjIlVdeySc/+Um+9KUvcdNNNxGJREgmk8yYMYMPf/jDQ07fAFuSJEmSdFLIzs5m+fLl/Ou//ivJZJJoNNw1/U//9E9ceeWV7Nq1i9GjRzNjxozjvw2FAbYkSZIk6aQSiUSIRCJ/8N3EiROZOHEiAK2trezatYv58+cPKV0fciZJkiRJ0v9j9erVXHfddUNezwBbkiRJkqQU8BJxSZIkSdJJYcmSJf+r5bq7u4eVvgG2JEmSJOmkUF9fz4QJE5g2bdrLLtfQ0MDhw4eHnL4BtiRJkiTppDBx4kTGjh3L8uXLX3a5Bx54gDVr1gw5fe/BliRJkiSdFGbNmsWmTZv+V8smk8khp+8MtiRJkiTppHDjjTeycOHCV1xu4cKFrFy5csjpR5LDCctPoGXLlrFixYoTnQ2dhJ7Z1s6kgecA6MoupSlRCcC2pmKmVbQAUNe9kcOFkwEY1bmTzM5mto68EIBJ3WvZVzgLgHgySna0D4DsZA//fn8VADdc2sWGQyHd7MwESzrvoHfkOACO5ddQ3r4bgIOF0+kYyANg8uAmmnJrASjv3U93VgkAI9f/mr6Jp/J8bnh332AinceeywZgyrgIowq6AKhJ28eugfEAJJMR1u7I4opTDgBQ1bSBQyPnABAhwfNt1QBc1PYD1o66CoDM6CCHOvMBGJEbozr7MOXNWwH4yu7LOGfWAAC/ejTO31+yH4CG+GiKMzrDvnSXs2lPJqeOjwFQm32AHkJ6SSL0xkOeI5Ekx3rD91Nyd7OnfywAE9N30Z5eysGuMgBaezKoKuoFYFx6Pes6wv01sYEIc0aG/Rp98GkGCsLy23Pnk5vey/2bRgIwf3KMQ205AMyuPER+oh2AsjV38/nBjwJwc81P2T3mfCas+S4APdMXkNXVDMD3Oq/kyuq1YT8zaimJhLaRM9DJqu7ZIf8lDYw5sobGylPCviUTFPY2AZDe3010ILSNgZwi7th/LgDTx/Zz9pZ/4/l5NwDQ2F1IZyz8G+nk0qN8/tv9AHzxL9s4nBwDQG5aL+mRQQAO95YRG0zjDJ4K20wMsiv/VAD2txVxfsajABwomM6BjhEA1BU18puNVSye1RjKs/EpVmZfAcBgPMKF0YcA+Orui+juDtv5i4VHeHxfqJsJFd1MS26iPj3UQWXaIdKSYbnMgR4aMusAKEjrpKJ5S6jzSJTDpTPDMskYZce2E8sLdfV4z2ksPvptANrq5vP9raH83rfpAzS999MAjOrYTmZPKwcrQ7vf0V7FpKJDAESJ05vMBaC9P59ZvU+E7ex+jsGaSQDE8svpyBnJtvYaALbuTSMnJ1zs9d6RD9BRMDqklUzwe0+1zaCupJXewSwARmf+3/3MGugh/9geAI5VTqctUgrA2I5Nx8eDWDyLwvROvvPbcgA+PushGsunA7DxaC1FOaFu+wbSWBj7NQC/Sr6T0yvrw/rJHDoG85j15JcBiJ+yAJ4MddNy+QcYcd+3ANh96T+ytbHshbQizKhqo3cwA4CK7BY6BgsA6B7IojS7A4CMyADfuK8YgH8+fwvrBsJ4MKngAPl9rXRnhd/aEsWM71gXyjz/NCojDaGco6VEI6GsahpXcaRyNg29FQDMiK/naF5oK/WdlVTnHwNg/J4H+E78LwB4R+2zrOuZEcqs8Bjlg4f40c7ZAFwxdScH+0N9TBtcT2du6MOxSC6j2reFuj3WQKyshpbCsJ2fPjuO900N/XNXZAoFGT0AFCZbWXUsjN2x/ijnV24G4N9W1vG2cyLMSoR1brl3Ou9eEsakzftzOdwY6qauJpPTao4AcKh7BGf2PwzAc/nn0NabzcQX2uCerlFs3RfKfNUTBxg7MeR59vQsqopCXsZmHWRV80RGv/B57o7/oWtCaM9bI7OozQzjaElrPSsjlwJQlN3P3P7HALjh+5P4zIcyqW4O9bEm7yJKssN4n0hGGdu/HYCB9Bw6MkJ73N5WRWV+FzO33xnKZtpVbDsW8jZpxFEGk2kA9AyGfQcYnXWYkY1hBqi9dAI/fH4mHyz4HgCHaxdwqC8cy8am7+X53vBO2bXb01lWfEfYl9q3c8+6IgCWjbuXfWXzKRsI5dSYXk1ZIpTnnngdM2NPA7At9zRi8TDubT+cR0lBgrK8MF5Oj2wiqy+026/tvIBpYXhhUkkjh3rCfk7PfJ7vbQn9bsnsw1Q3rzs+3h6tnMFgNBOATS21lOeF40gkkmTK4EYAcnevp3n6hTx0IIxpkyq7mXf4Z6Fs9+5i/3kfAKB4oJk9yXBcPdqTS21RaNsHO0cwqegAO9rDsXRi4UGO9IVyrsxqor4rtOfxBQfJHgwPV9oXryU3PcbmI6HvXlb8JI/0LgCgruQYU7b8EIDBylp6C0OZP941j4uiDwLQUDKDXe2VLEyENtlcMpF7t4fCuWLi8zyw/4XxuWTweN1euOerUFAMwAdXvY0zF5Tz543hUtqu2Ys4lhXOWTYcGU1Xb3iH8DNPN3Pb9B+Eepr5bkppJi0R0twSm0xtfqjPzGSMDkLapfFGio+E84VfZVzDFf13hXKqXsC+7kpy0sP5Q0Y0Tk56OEeYcOBhNlS+HYCBRBqnb/lPAGKT5tGdW8ovd4fjx9W168iKheP3YEYOezKmAtA7mMFpB0KZPTbqOmZlhWPPtsEpnN70U/pGhLrZnzeN/Gg4T2lPFBFPhD6Qm9Z7vJzGNq9mTcElAJRlt5MRGaC+I9TBee0/ZWPlZaGeEjtpzwrj+96uSs7Z8w0A4hU1PJ5zGWc+9A+hbK/4AN1poU+Mat3KL3tC/756/78yeCy0oYEL3smyn0wA4HPvbWFlwzT+LO0nAOwZdTYN3aGtz87YRH7zrvD96IUc6Arf52QMMrfz4ePtvrFqDk8eCm11Sd5KHkueB0Bhdj+jso8CsK+rgvRoGMcPtOTwztx7icRD3f5qcAk1I8JYdWrzrzlaFY7LO3rrGJ0X1h976Cn2VS3gkZ2hfV82YTs5/aFsD6TXMS4W6mA9p9ERC+Nj/2Dk+Jg4IquTJBG6Xxh/WntzmZ4f9q1m4lTeiLxEXJIkSZKkFDDAliRJkiQpBQywJUmSJElKgZQ+5OyWW24hFoulMsmXaGpqek3TlyRJkiRpOFIaYMdisdf8AWTLli17TdOXJEmSJGk4vERckiRJkqQUMMCWJEmSJCkFDLAlSZIkSUoBA2xJkiRJklLAAFuSJEmSpBRI6VPEJUmSJEl6I2tububJJ5+kvr6etrY2AIqLi6mrq+Oss86ivLx82GkbYEuSJEmS3vIGBgb4whe+wF133UU8Hqe8vJyioiIA2tvbaW5uJi0tjWuvvZabb76Z9PShh8sG2JIkSZKkt7x/+7d/4+677+bWW29l8eLFFBQU/MHvXV1d3HfffXzpS18iOzubj370o0PehgG2JEmSJOlNZdGiRS/7+8qVK1/y3d13380tt9zClVde+UfXyc/PZ+nSpUSjUVasWGGA/Xq45ZZbiMViJzobeo2sWLHiRGdBkiRJ0mugu7ubysrKV1yusrKS7u7uYW3DAHuIYrGYQZgkSZIknUB/bIb6lcyePZuvf/3rzJw58yWXh/9eV1cXX//615kzZ86w8mWALUmSJEl6y/vEJz7B9ddfz8KFC1mwYAF1dXXHA+2uri7q6+t56qmnyMvL4/bbbx/WNgywJUmSJElveXV1ddxzzz388Ic/5PHHH+enP/0pHR0dABQWFlJXV8dNN93EtddeS2Fh4bC2YYAtSZIkSTopFBYWctNNN3HTTTe9JulHX5NUJUmSJEk6yRhgS5IkSZKUAgbYkiRJkiSlgAG2JEmSJEkpYIAtSZIkSVIKGGBLkiRJkpQCBtiSJEmSJKWAAbYkSZIkSSlggC1JkiRJUgoYYEuSJEmSlAKRZDKZTFViy5YtY8WKFalKbtjbuOWWW4jFYq/J9puamrjzzjtfk7T1xrZj937GHFoFQDTWTWfVVADWDcxhXEEjADmJLp5smgLA87sG+NjUhyCaBsD+4lNo6y8AYCLbiGXkAdATLSCdAQDa40VMPfwgAN/tvZZ31m7gF3vnAPCO2md55NgpANSUdDMqK2zzcF8FJZkdAHTHc6kd3A7Azug0Tt30X+yaex0Aj++qJDsr7Mu48l4mp4flkpEoT7XNAOCsok2s65lBWW43AJP6NxFNxEPe8kdRseUhABJlozhYOR+AtMggB3srAZjX8SA9RVXsjk4GYDCRTllWKwAl/Y1kDPSE8kvEOVowFoDeZC61LWsZyC4M+fn5dxm85q8BWB+bxbysDQBk9PewNnomAKf3/45of0jrZwNXcn7VVuKRdACOxssZG98JQFNmNfFkKP9YPIuxyV0AFO18hv7REwB4Ku18ztv5Ve6v/QgAZXkxuvozAJifvpad6dMBmN7xBCsjlwIwecQR+hKZTD5wf2gDlVfye9PiG2jImQhAAe1UblsJwH0jP8BZ+WFffrJvHpdN2sUAmQD8bncNBblhKF6SeS99uSNC2WQVsaE9lOWWevjLmc+yPjYLgNrCJvoSmS/sWyaHOkLbWpT+W9oKq0M9RdLoTuYDMCLeRE6slZWxcwDIzkiQHk0AcF7D/9A19pTj22xOVhxPtyiji0d2jgLgHeOf46FDM0NdjznC4e4SALr60snJDO3k9MjTNOXXARBPplF76An+8+jVAFw26whjm54B4PnS86mJ7wagO6uYSDLkZU9vNbHBUJej81sZkWxiRHNoq+2l42lJD3kb3fk8u/NmAzC+ZxO92cUAtPzT39P8L/dwRv3/hDYw9QL29te8kM9MzkmE+ugoHE1+V+hDvbmlFB3eCsBzo97GiIwWjg6EOmjtzaU0J7S1vPQeyvsbANjBVGrT9wBQ1HGQZzLO55yG7wKwrvbdZKYNAtDQUcCkkrCd3+2soq4y9PUjbRksqDkAQAb9REiSJAJAcc9hftRwdiizCdu569nQnt51ynbWtU4CYOKIZsq/+TEAtl/3dUZkdXI0VgTAyOxW2gdCvZ/S8hBNFaHOuiikZzAHgFW7C7lg8hE6B3MB6ItnsK0h/H3B+H1saxsNwOTiQ/z7L0LfXHppFvO6whjQWjqBJBEihHZ7cHAMozKOhHqPppMR7wPg4QNTWZp/DwCdRdXsS9TSMxja7db9Wcyq7QVgTM4RmvrKQt2mNxyvs4fXZvC208MyM9f/J3eU3cLbap8DoC1aRn17OQDnJR5kX8mpANS0b2RV+nkATM3ZSYQkpc8/Gupj5mU83TAurFOxhbXtYRyfVNLI5uYwjjW2RFg0+XCoczq569mJLD7lKACVA/s5lBHGrprYdlYNng5AQVY/o7JDPQ8mM+hLhMG2oauEirwOtjaG9pQWhZkVYbmxLeuO9/Vd6dMozzwW9v/5B2mZsIAHDoW+flXRQ7QWhvLopIjygdAGN/bPZDAe2sxZPEpmW8jzmooriQ1mcGb/wwDsLZlLfqQTgAOxUexuCseei0c/x+8aw9ifnZmkPD9GUWYY+9fsKz8+Js0aeZgRgyHP2+OTGZ9RD8BDDTOYPSaUS040RiyRxWAi9N3DXQWclfE0APtyphJPhHE4Gkkw5fF/ByB22sU054ayBDjQPZLnD4S28Y5Jz/PA/mkATKjo5bT2ewH4+tErGRWaCadX1rO5tZbS3N7jaRRnhv3MjPQzSMjLg1uruHryZgBKD2ygqSYcu6LJON9dP5W/mhGO643ZtfQnw9hf1/ks/7I29MEbFzXxbHMYUxtbIswd10lOemjfA4kM7loZ1vnUvEc4WDobgJa+Ik7p/B0A6W1NHJ6wMNRzVzXzeIZnEgtCXee3Mia2AwjH4tacMNZmJmI0DIY+WJjRTfdgLpNi4fjx85bzKMwL4+WYok6KMroAqH7oa/Se8w4AEtF09kXCMW5C/yYy+ruJp2eHuj60g4OTLwIgd7CTomPhuHiwYj6rG8J+zq5qJJkMbauhq4TOWBpvP/AVAJ6d9X4m9W8CYHfWTL71i5CXadNLeF9VOH/5cdslnFu7n4r2sG9PspBI5IU6yu5lem8o8535c5nQtR6Aw0VTaO0PY83IrKMc6y9lSs/qUO5Fk4glQ/4nPPNt2uctBqA3o4C8vjYANg3O5J7HBrjuknD+P+WZr/PAlFsAqMjvpioj9I+eSD4F8XBect/+GcwYHc6fHt+azxWzGxi7K+zD/gkX0T4Y8lMb38FX14S6vTn+L+w+928AiJJg/Ma7QlrVf0dFQQ+lmSE/T+2vPt4/JrY8TXpH6N8PlryX8xPh3KE/t4Rvbz+Dv+39PAAHznwPiRfmPktjDRzLDm0gL9FBUWfo90kiPJo4H4CinD5+8OsYn37HvpB24xzemRPG270j5tE1EMb7ho58Lov9GIAdVYsoTx6hLy2M9x2JQsqTYezuSivmZ2urAJg5IcmsonCMrtjxKPeX3wBAVUEXBRldx88/2vvz2LQ3bOeiKQ3Hz7l64jkUpof+WNXyHL15I2nNCsfvQz1l5GeGPlSY3knN/scAeLL0amalh/E9lpHHiGPhXC6tt5Pd1YsY1xzOH54rOZ/ctLD+rIkjeSNKP9EZeC3EYrHXLNBftmzZa5KuJEmSJOnNzUvEJUmSJElKAQNsSZIkSZJSwABbkiRJkqQUMMCWJEmSJCkFDLAlSZIkSUoBA2xJkiRJklLAAFuSJEmSpBQwwJYkSZIkKQUMsCVJkiRJSgEDbEmSJEmSUiD9RGdAkiRJkqTX28DAAAcPHqS9vR2AoqIiqqurSU8ffphsgC1JkiRJelNZtGjRy/6+cuXKP/nbpk2buO2223j66acZGBggmUwSiUQAyMjIYMGCBfzN3/wNs2bNGnK+DLCHKDs7m2XLlp3obOg1smLFihOdBUmSJEmvkUceeYQPfehDzJgxg4997GOMHz+ewsJCADo6Oti9ezf33Xcf7373u7nttttYuHDhkNI3wB6i5cuXn+gsSJIkSdJJ7eVmqF/OihUruPrqq/nUpz71R39fsGAB733ve/nkJz/JV77ylSEH2D7kTJIkSZJ0UtizZw+XXXbZKy53+eWXs2fPniGnb4AtSZIkSTopjBo1ilWrVr3icqtWrWLUqFFDTt9LxCVJkiRJJ4Ubb7yRW2+9lf3793PppZdSV1d3/B7szs5O6uvruf/++/nNb37DZz/72SGnb4AtSZIkSTopLF26lNzcXL761a/y61//+vjTw38vmUxSW1vLl770JS6//PIhp2+ALUmSJEk6aVx++eVcfvnlHDhwgPr6ejo6OgAoLCykrq6O6urqYadtgC1JkiRJOulUV1f/yWC6tbWVXbt2MX/+/CGl6UPOJEmSJEn6f6xevZrrrrtuyOsZYEuSJEmSlAJeIi5JkiRJOiksWbLkf7Vcd3f3sNI3wJYkSZIknRTq6+uZMGEC06ZNe9nlGhoaOHz48JDTN8CWJEmSJJ0UJk6cyNixY1m+fPnLLvfAAw+wZs2aIafvPdiSJEmSpJPCrFmz2LRp0/9q2WQyOeT0ncGWJEmSJJ0UbrzxRhYuXPiKyy1cuJCVK1cOOf1Icjhh+Z+wbNkyVqxYkark/qhbbrmFWCz2sss0NTVx5513vqb50MnnuV2NjEg0AVDSvIPdFWcD0NGfx0S2hb+zSnlo5zgAltRtprDrMN255cfTOED47WhPLpnpifB3Vya/74VjR3Sxu7kAgHOqdvBs63gqC7oAGJV+hPvrJwNw5ZjV5HQ2AtBWMo6WyEgARiSbSETSAIgm45TtfIK1494LwI4jeZw19gAAZb0HeKrvNAAG4lH6BiIAzKhooqm3iNmR9QBsT5tJeWYLAKOPrCXa3ADAMxPeT3l2GwBP7R3FZTXPAVC67l4Gx03l5qfCoHXB2QWU5fUC0NSVQ2tnuGgmEoGivLD/F2U9Qn9WIc8nw30wBRm9FKW3A5Db38G6nhkh7ZweCjJ6wvb3VfL2UWsByBjoJmfXeuKjxgLQl19OX2Yow1vuGsUnrgsPqKhs3MRD6eGhFmnRJBcd/iYA34z8FdfWrqYruxSA3mQu4/aHwXT5gWu44sxQ/tP33s1Pst8HwDszf8X6gkXMiIdyyj34PMcmnAnAYDST8kMbQ92OmsmIll1h/8umUbX2ZwC0z1pE9j13kDE/rLNvzDmMPfJMqLeDu3lowt8DsJCVROKDABwunclTB2rY/HwogxsvbmHtodEAnFG1l0f2hrZ10djtdFEIwPj1d9I549ywz4N97MmeztTDDwLwcN5SzsjdAEA8ms6arplhP0fsY293FQD9g2mc1/ZjnhhxdaibrBjr9hQBsGt3F3+1uBWA7nguNf07AMjqbeVrey4B4G9r7mFj4QVUZ4R2t7e/hgdWhX/X/cC5e1lzbCIA5+Wtoik71N+3Hyziby8O7Wx3bw0b67N4f9V9AGwpOIuRGUcBeGTfeM4Zuy/sG4OUtdcDkCTCoaKpFMRD3n5dP4OCvNDB5lU1EPnnGwAYe/XFbJsdXr0xpm8Xh7LGAzAy3sCmvulkpYdyH59RTzQZ2mrJ6l/xqd5/AODqhX1Ma3kEgLvjVxBPRLi4fB0Ad+06lSunPA9A9kAXH/tx2LevXbqKtfkXATA6p4kNTeG9m2/v+A4DpaPpzq8I+xPv50DGBAAmdK5lVfp5AEzL2UFDogaA2sROcrrDeJTe1UrzmFNJS4Y8d6cVUdYdyua3vWdx8ZOhPXVf9hfsiE8K60QSjI/uZMvA1LDNSJIp6WEce7pjFvOLQ/6f7ZrCmIJQllO2/5T28WHcyIq188nH5nP94n4AHt8+giXTQh0MksHvZdBPZjyMAXk9x3hs8BzOznwKgI7cCjISfQA0JGro6M8O+5y77/i+lO98gt2TQr8d3fk8D8bOo6s3jCOnVjdzoKMEgNmFOxiIZgGwtmkcdSPCGJKd1kdupJvG/jAOP7uvkKL80B6u7Po2gyWhzJvLptJPWL+lv4h9rWEMKcvvZ0Hnb+guCXWV236IDUWhDnPS+5j61FcBiI4eC51hm1tmvJeHNxUDcPWpexn9/IMs23pt2ObFOcxJC+NG/vZneG5GGFMOtBdyYdpDoc4SFzKmsIMZu38CQGftbPJaQx/aUraImXt+GpYbeT2n5m4O9ZcY4EB6aMNTnvoa36v6JGfVHQFg/DP/w+4z/hKAsW3PsqtoXij//lwaO0KZ52YlOCNzDdujYRyYEXuGeHooj+fT51CZHdpaXn87N98VxodPXNfN/dvrALgh+m0OT1jIPdtDHq4Zu5rYC+NwXu8xcveEMXHfjCvIToYxbOT+1Tw/5jIARkSPUdx1iMMFYUwo+fo/0flX/wJAbyKHx3aG+lsyaQcr94fjYGZGknlVDVQ3rgagu7iG9Hg4P+zJKuaxpumhzA99mWRf+P7QWe8mmQzHu7WNtYwqCm0TYG7XSu5sD23t7TXP8sCR2WFf+CFPlb4TgDG5zYxpWkdaT0eot9qFPNMQ+veMUUfJjob2XLv/ERqrw3tzm+Mjj48V3zp6BX82cSMbY+F4d1b/Q+wsPgOA7GgfvYlQH5N/+yXSq0O6d+X9Feue7WDZkmYANrfWUlt0DIBJO3/JnsmXA9DSV8RgMvSNUwZW8/HfzgHgny/fR2taOYkXLlqduOUn9NaGem7NH0P5sdDv7xm8jCX8AoCNJRex7XCov1ElA2Smx5l770cBuPesr3J+WajP9owyRvSFdtaTWUgyErbxs411TB8X5/yj4Vx8/Zir6BsMY39Jdhc/eTwco95/7r7j6/Qmc9ndHs5lSnN7Kc9sYfTBpwGIxrrZNDYch2LxdOKJsM7paz7PsXOuCfnaM42KkjgdPeEcaGnyh+yrPgeA/kQmfYnMUGfthZyXE8agr289k7/Pug2An5b+LU0t8JdjHwWgM28kvzsU6umKgodJj3Ucz8stW0J7uHXhBvblhDF06tpvs/+0d7G+MYwVV/Tfxd7qcPztieeQlxbafUakn4x4aCdZgz38fN9cqkeG8a4rlsY5ZaFP5/S1sykyF4CqnGb6kyH/Y7q20Z4/CoCCnib6M/Mp3hH25+0/WcC7/jLUO8Dby8P326KzGJMZjquJSBqV+1dRX30BAN2DuRRlhH0r7m9iTyQcewrSexjdtR2AdWlnMCstzPaubJtPbmaCGSV7ATg2WEpFNNyj/KudUxhdFo6XpxVvJb8rnKc+NHABi+O/ZGtp2OaMQ/fQPOZUALb31DEpL6TVRSGZkXBM2Xi0miPHQl+9cfA/ITuX5l/+BoCyP7uajopwLKuYOpc3ojfdDPYrXSsPIdCXJEmSJOn15D3YkiRJkiSlgAG2JEmSJEkpYIAtSZIkSVIKGGBLkiRJkpQCBtiSJEmSJKWAAbYkSZIkSSlggC1JkiRJUgoYYEuSJEmSlAIG2JIkSZIkpYABtiRJkiRJKZB+ojMgSZIkSdKJdPDgQXbt2kVfXx/Tpk2jurp6WOkYYEuSJEmSTgq33347yWSS973vfQD09PTwiU98gnvvvZdkMglAJBLh7W9/O5/73OfIyMgYUvoG2JIkSZKkN5VFixa97O8rV678o9/feeedfOADHzj+efny5Tz22GN85jOf4cwzzwTgySef5Itf/CJlZWV87GMfG1K+DLBfxi233EIsFjvR2dDraMWKFSc6C5IkSZJeI42NjdTW1h7//OCDD/LRj36UpUuXHv/ummuuYXBwkK9//esG2KkUi8UMuCRJkiTpDeZPzVC/kqKiIo4ePXr8c09PD2PHjn3JcrW1tXR0dAw5fZ8iLkmSJEk6KVxyySV8+9vfpq+vD4Czzz6bu++++yXL/eIXv2DSpElDTt8ZbEmSJEnSSeHDH/4w73nPe1iyZAlXX3015513Hl/4whfYuXMnp512GgDPPPMMu3bt4r//+7+HnL4BtiRJkiTppFBQUMBdd93FN77xDe64447jl4tv3ryZzZs3k5mZyVlnncVnP/tZpk+fPuT0DbAlSZIkSSeNnJwcPvKRj/CRj3yEhoYGjh49SiKRoLCwkJqamiG/muv/ZYAtSZIkSTopjR49mtGjR7/k+9bWVnbt2sX8+fOHlJ4POZMkSZIk6f+xevVqrrvuuiGvZ4AtSZIkSVIKeIm4JEmSJOmksGTJkv/Vct3d3cNK3wBbkiRJknRSqK+vZ8KECUybNu1ll2toaODw4cNDTt8AW5IkSZJ0Upg4cSJjx45l+fLlL7vcAw88wJo1a4acvvdgS5IkSZJOCrNmzWLTpk3/q2WTyeSQ03cGW5IkSZJ0UrjxxhtZuHDhKy63cOFCVq5cOeT0DbAlSZIkSSeFmpoaampqXnG57OzsP/p+7Ffylgyws7OzWbZs2atOp6mpKQW50VtFGnGORSoAiPz0X8n50KkA5GV1ce+BeQDk5yRYUrcZgBGNz/Ob9KtY/OQ/AdB82V9RTjMAEzKOkNnTCsCdXUs4p+4QAHV7HqSv8hoA9vRWk0zCjLZHAThaNuV4Xgp2rubAjPAExH3dlZzKagAe61vA3OLtIb+JQWKjp5Cd1g/AmNIMKjp2AtCfVcjU4gMAREmw/ug4AFr6Chifs5+n2k8DYF7eZtopA+DYyKmU93QCMINnWd89N+S5IkYjVQAU1U2jZcQEFi4oAKC2uJVJLU8CsK3kHC7ICWXzlfWnc/VZ7QD8z9bzmVMX45ENYTj687OOcqBnFACH28exOC/s/08Pncc5tWGdd+X+kmRHuMPlWNlkHh79YaaVNQKQERmgZtu9ANz83rcxesdvAWgafxYXHrsHgKczL4Ge8GTIxXP3ktYzwK6uagBKc7roLQ/lsWAE5KX1hPXHncHgwVD+kedWU3DeAtI7wm+JghJi6XkAHOytZF/pGABO2/NjeKHMtmYsZvukMC4VJPuZc9b5kIgDkBnpo6O0DoDeylOYwV4A9ibm8OTukQAMNie5YtLzvL30GAB3bjuLWbW9ADx1cBwDAyFvxxJlpEdCuvfVLmPx/u8A0Fo7jx8/ksOycycD0NMSJZKbCPtDkpklewDIj7VQlZsFwJ72keyuXkRpoiuk3ZtPTviJsTV5VHSuBaAvq4CDWRNCnQ88x5nTQps7mHMqa7bkUT01rHPavjspX3h52E7vMcYUVQLQlV7KmI4tAHzy9AR37roktIXyB+gZs4gkaQCkRZL0JEM5b9nWTWFeqLO8zDhl1IdtFk6nta+QX20Nbej6GRvY3B8eYnK4p5RT/r+PA7AufQ6nNvw67P9AH11jZgDQEp/CnIxnebwr9Omq0gKO9pcAUAJMnpATyjOWRjIS2uBZlTvopoDCA9sAGD/6FB5vnHr8tz97+wgA2vLraG3LBKCzbzTjS9sAiGWPY3PW6cw98quQt5Fv59H12QAs61tFxtxzQ52lFTIYD9t8qnsOl+5ZAcCBuUt5Yv9Yzq/eEcoznscTR88BYHJlF83Phn5/8JJJzOt4EIDdZQvI7WiiPX4KAPNLttEbDf32osQ9/Pzw2wH4s8E7aCw8PeR/whn0p4V8tRWOZM4pBRzr7QtlUxih8vHvhzJccBV96bkAlB3bwZe2XgjAzXV383xjhFEzZwLQ25dBcWboh5lp/dTmtQDQPDiSaCS0zbZJV7C3vRSAMb/7PPkXnMPvnugA4OriZ8kqDnX7XPtEzuv6BQAXjGgityl01nhOAf+280LmTg6X+F06cReNA+WExAfozykGYFdXNRW5YXz5/j0JPviO8FCblv4i1pdcyqH2UO/RKNz5n7sB+PZNjTwy658BOK/7l/wy5/qwL61Jxr1wPpZIpvHr0g/wrstCX53d9xhPxM8LZT4lSt3AVgDSiifzza0XA/DB3NvZN+JCOmrDMSaSjHOgMozJecketo2/InzfBXmdIZ8bchdSE20AoOOMt1PTO0B/IiPkoW4KJYlw7OnOr6D0hePQmEgnO3tCuueWbKQto5Ln9+YDcEp+L89mLQDgviej/OUFYXweSMvifUtDO/nlppHkhuZAb+UE4qTxnlG/A6A1u4YBQlvPTuvk2cnvBaBmcB8PHJoFwNsq2iiLNL2wj0meSpzFRMKxMJqZTvyFfl/bsYGqmkIAGqll6qhQ/wfa8tnbOZJNkXcAcFrmLnK++e8A3HHq7dS+UAc7T30vNR3PATDqwGqiR/YDcH/Bxzi14iglfUfCNgf7uXj8rrDSAFxUFdbZl3YOve1h/5NESDu8j19W/l3Y7/0RzqkJY2dnooDG3tDXC35+N5VLwjhYkZlNIiu0n9MndhAhydiCUAeDXfnHjzH3bx1DUUEEgOnjJsBAWL+2rJe6i0JZAAwmIjx7KBwXxqxfR21OGBOr1j5Dy5UfDuV578849+wwbjzfP4k5rCWr62jI54T5PNQa6n1Meg+7ssI4mh1JcHDEfADKaKUkP/Th09NXkXN0H32XXB32LR6nZNtjAOyd/BfEMsJBYXT/Hpozw7FvySkNHOopo++FY2FbbzY9A2EfpqVvZWJdOH84liijpTfk/3BbFnNHh/a8vaWCnJI+dlVdEPIWjbF6e2gDN6b9D/smhL5y9+RPMT+6F4CWtjhXVa1me14YXw5kncUTe8P2ryp7lI1pYZ9nlB4k41jo63817Wl6E2EMLBxI8LaaR3kodh4ApxQcZPW6sNzct0+nKD8ce9MTA3y6+BkAftV2IcUDgwDsGf8xinr6Ob9kPQCffepKzsgP7WZ8cRNH+8JxZHbHSh7PWgzAvMz1jB05wLn99wHQWj6BPQPhXGDeobuYWxqOvQeyZzEiHvpKdsM21tWcAUBORhUzH/gU+98W6v2WceWcvv4zAKyd9w/kbX4CgKzZU2lJhnH0SGcR/TVZjOoObb09bxSZ8TA+AZRlhHE4jTirI2EMOPfQ93i+Low7WekJLtz8OY6c856Qt/ZCevPCWLNk0g4eOxTOMfbFa+lJnwRAY2OUrtqxZEVDm2764U/Y9bdXATA1ZyfJZDiu/fDJUq45O5wbzy2rpyg39M3+gUmszzybomXhvDcROUb54d9f3j2XN6K3ZID9Sjes/2+lIkiXJEmSJJ0cfMiZJEmSJEkpYIAtSZIkSVIKGGBLkiRJkpQCBtiSJEmSJKWAAbYkSZIkSSlggC1JkiRJUgoYYEuSJEmSlAIG2JIkSZIkpYABtiRJkiRJKWCALUmSJEk6qQ0MDPCjH/2I5ubmV5WOAbYkSZIk6aQWi8X41Kc+xb59+15VOukpyo8kSZIkSa+LRYsWvezvK1eufMl3S5Ys+ZPLJ5NJkskkN998Mzk5OUQiEX71q18NOV8G2C8jOzubZcuWnehs6HW0YsWKE50FSZIkSa+BnTt3UlZWxjnnnPOS3/r7+9m1axe1tbWUl5cPexsG2C9j+fLlJzoLkiRJkqQX+WMz1K/ka1/7GsuXL+fgwYN8/OMfZ/Lkycd/6+jo4J577uGmm25i/vz5w86X92BLkiRJkt7yLrzwQu69917mzZvHtddey2c+8xna29sBiEQiKdmGAbYkSZIk6aSQlZXFhz/8Ye6++24aGhq4+OKLufPOOxkcHExJ+l4iLkmSJEk6qdTU1PCNb3yD3/72tyxfvpw77rgjJbPYBtiSJEmSpJPSBRdcwNlnn83tt9/Onj17KCsre1XpGWBLkiRJkk4qPT095ObmApCZmckHPvCB478NDAzQ3NxMVVXVkNP1HmxJkiRJ0knhtttuY/78+cydO5fzzjuP733vey9ZZuvWra/4nu0/xQBbkiRJkvSW97Of/YzbbruNxYsXc+uttzJ37lyWL1/ODTfcQFdXV0q2YYAtSZIkSXrL+973vsf73/9+PvOZz/Cud72LL3/5y9xxxx3s3LmT97znPTQ3N7/qbRhgS5IkSZLe8vbt28eCBQv+4Lt58+bx4x//mHg8zjXXXEN9ff2r2oYBtiRJkiTpLa+wsJCWlpaXfF9ZWckPfvADKioqePe7382GDRuGvQ0DbEmSJEnSW9706dN5+OGH/+hvBQUF3H777cyePZvPf/7zw96GAbYkSZIk6S1vyZIlNDQ00NbW9kd/z8rK4rbbbmPp0qWMGjVqWNvwPdiSJEmSpLe8xYsXs3jx4pddJi0tjc9+9rPD3kYkmUwmh732iyxbtowVK1akKjnpDaXx+XW0Z5YD8MS+GmaPOQbAqMQBDjAOgCk9q3mM8wG48PC32DHpSlr6CgCIRhL0DGQAMD1vF+2REQA8vLWC86YeBWBM3y7S4v0ArI+eTkNLNk8+He4Tee/bs2jqygHg0NEI/QMhX0tm7Ke5P6RVnNFJcTyktb57GgsHH6CjuAaAJBFiaXkAfOFHhfzrO3YD8L4V+dy8bOzx/YxGEkQjCQBOOXIvh2pOB2D0ul/w9JS/AWB+90P0FFYBcDB9HNO23QVA/5hJrE4/l9F5IQ+1+35LpCe88iCZm8+xMXNC+R2dzvkl6wFozyznqQM1lBUOAnBm5mp6MwsB+NHW6Vw5M+QzThp7usI2p+TuJr8nPOVxZ9ZsKtMOsbV7PABT8/dwoH8MAOVZLZT0NQKQlujnqb7TACjM7ueU/mcA2JJ1GtP71zKQmQvAxsFTKM7qCWk98n/Yf2HY523HKlmY83RoC7njONBVzuS8PWEfkiV0DISyHZ11mDhpAFQ2P0fnC+W/Mz6RkqxQFhPr7+W5se9kautjIb2RM6g88iwAx8qnMnLT/QDsmPXnZEdjAPzXfSN4/6UddMdDPvviGYzIbA/lnszgcFdxyEtvOtXF3QDMaf4NTxRfCcDctLVkdzaR1tka6qDy3QzEw0VMGWkJ9h/NAmBseYymjvB330CEC6s2k5YIddOeUUbxQCj35/qmEY2Gw8ek7Ho2d00EoDi7l6KM//uai+xILwdjlaE+stv49bPhX4Mn1STZ+sIzRG6cuYHMvo6w/P6tJMrCMrsrziYjMkDXYCjbCb0b6c/MD/WRnMqs/lUAHCqYQm1jqJvk1g3cM+MzxPrDvo0s6ue0aFjuYM5kJu0PZRsrrWFt9EwASrK7aewK/bQjls7lGffxb7suBmBEcTrvGvMEAL1ZRaxqmx6+z+2jNvsAALn9HRQceZ4jY0N6z7WO44zccO/WvU3zuCo/bHNj7jlMiO4I+R+cwrToFgAKDz7H7rpLyY72AjB692PHy+/Z6ney9VARAO8oe5z9OVMAqOt8lqeiCwHISotTlXuUmqfDezxXzV5GYWZow8VpbTywM/SNM8YfZVzXJgD+u/48Zk8YZPZdNwLQeuO/EE+Gdvt4fRVLKx8HoCunjMZEqI+S9FbG7A3fL1v/dlZMu4t1494DwNw93+eZsdcDUJHTQktfyPPcXd+lf/SEUE/F08lNdNIwODrkc2cBF087DEB9x0hKc0KeKzObKOk8CMD+f/4UfSt+CUDPYCY7j+Tynt7/CmUz4d3kp4cya+wtpm8g5P/0zDVsT5sJwITkdtqzyinr2gvAj44s5IIJ+wEo79pDa34YK/b1VHHqwJMAHCmaTGX7dgC2fOAWRt/1/eNjyrz9P2TD2D8DYFbrw0T7wvbrqy+gtT+MW8WZnVT17gIgI9bBM5mLqM0/AkBuvINf7JoBwPmTjpAVCf37uWM1TCl9YZlkFyMPrieeHdp9T2EV2b3heJNIyyKRFuZG9mZNpaY/tKeu7FIqtzwY8j/9YrZ11TI7O7SvnoxCNrfWAjCp5DBbj4Vx9OLEb+gqrgagITqWDQdG8J6jXwRg65wbGEyE7TT15DGp6NDxMns6Hh4O1B+PUlUQ+npG2gDPN5byjsjP+b3ny8OxMC0SpyCtE4CnG8ZxdfvXQ9lOuoYI//cUND0SZyAZtjn54S+y9txPAjAq5yjl3aH+nhk8g/K8ML41d+cxpqCV/Z3h+Hd69np+vC+M8deX/IqdpSGfRdF2WgbDMluPlHD6mNBvNzWPZknHd2msC8tt6ahjX1M4Rvf2JblwWhjrxh99ivYf/wiA9e/9HmMKWpl8IPTprWMuJ+eFMbopVsKhtmwAZlceZmNj6DfjSjto6QnjdjwZ4bTcjfxi/1wArq14hN/2nwvAtNJD1G65G4AdU5fSnwh5aYnlMTtjExsHQpsuy+2kdzDrhTJL0NQT2skpBTuO99VpjQ8RzwljZVdBFZv7pnLgWFjn2oyf8Nu8dwIwuqCNLUdKAYhGYEnmvQDsKjmdjEgY95t7i8jP7GPmlu8C8GDNh5hZEo59fWSTkwz1UbHlIZ6uuwGA8px2ygcaOJYR8pMRGaA/mfnCdhIMvLBvj+8aSVd3ON+4fsZG9iTDWHX3E5m8f9Ehyn7+7wD0vO19lGwP4/Cu6VdTdyiMkf/dtpTLp4f+XNTXTN7jv+Dfiz8DwCVz2pl6OPSJHVWLKIqG42V6op+uaBifxh55hh/ErgJgwdhDVLdt4qedlwJwdd49NJSeAkBDTxntvSH/U0sPc6ArnAuuXBXninNCOY2L7Oa2Z6bx3nPCOUfN099j47wPhvaw76c014XjQySZ4MGDYQxYWnAv2wvPZNzA8wDszQzjO0BzTz4bd6UfL5vVXbMAqMzvojgj7MvhWBk12YdoHgj5Kc5oZ2RHGHs2ZZ7OkY5wztjUGuGG7O8D8JO091I9opd4Mhwj6/IO0pEIY1eSCFmRcA5at/s+NteG84ei9A6O9pcAMGfrt2madSnJSFi/N5JHzePfBuCbpbdy6bQwdo9pXMPekWGfD/eMYEH7r9hfFT7/6OkK3n562IdJzY/x3Ijwrun89F6e2B3OF+bVtnL4hePyKYU7KXvshySmzwuFE4nwxW2XAPCZ6zN5I/IScUmSJEmSUsAAW5IkSZKkFDDAliRJkiQpBQywJUmSJElKAQNsSZIkSZJSwABbkiRJkqQUMMCWJEmSJCkFDLAlSZIkSUoBA2xJkiRJklLAAFuSJEmSpBQwwJYkSZIkKQUMsCVJkiRJJ72BgQF+9KMf0dzcPOw0DLAlSZIkSSe9WCzGpz71Kfbt2zfsNNJTmB9JkiRJkl5zixYtetnfV65c+Ue/X7JkyZ9cJ5lMkkwmufnmm8nJySESifCrX/1qSPk6qQPsW265hVgsdqKzoTeQFStWnOgsSJIkSXqN7Ny5k7KyMs4555yX/Nbf38+uXbuora2lvLx8WOmf1AF2LBYzoJIkSZKkN5k/NUP9Sr72ta+xfPlyDh48yMc//nEmT558/LeOjg7uuecebrrpJubPnz+s9L0HW5IkSZJ0Urjwwgu59957mTdvHtdeey2f+cxnaG9vByASibzq9A2wJUmSJEknjaysLD784Q9z991309DQwMUXX8ydd97J4ODgq077pL5EXJIkSZJ0cqqpqeEb3/gGv/3tb1m+fDl33HHHq57FNsCWJEmSJJ20LrjgAs4++2xuv/129uzZQ1lZ2bDTMsCWJEmSJJ3UMjMz+cAHPnD8c2trK7t27Rryw868B1uSJEmSpP/H6tWrue6664a8ngG2JEmSJEkp4CXikiRJkqSTwpIlS/5Xy3V3dw8rfQNsSZIkSdJJob6+ngkTJjBt2rSXXa6hoYHDhw8POX0DbEmSJEnSSWHixImMHTuW5cuXv+xyDzzwAGvWrBly+t6DLUmSJEk6KcyaNYtNmzb9r5ZNJpNDTt8ZbEmSJEnSSeHGG29k4cKFr7jcwoULWbly5ZDTjySHE5b/CcuWLWPFihWpSu4192bLr06s/7of5o1rAyCejBy//GPCT/+Rvqv/GoAISdb2zAQgL2OA8px2mnuLADhzz//wu+rwbr2SnB7GsgeAaDLOofSxAPxwZR6nzsoGYHL5MZ7YUcqMmhgA09K3ciBaB8CY5F56MwoA6E3msq2lEoDL9n6FRyb9HQCnZm4iEU2jPjkhfN70Xzw04e8BaOtO58r0nwOwMvMKzsxZC0Aims5TnbO5IP13ANwXW8SE0rDPO5qLmVpxDICqwX0UPf8EAC2PP0Pu9TcBsCljPiOyOjnYNQKA+elrackZDUB2opv8nmYA1kdPJzttEIB7n8lg+qRMMjPCUHR20UbuOzwHgCXlT9OUHcrmUE8p+ZmhLGa0PUp3UUg3Hs2g6LEf03/aRQDsyZlBVrQfgMd2jeLiSfUAxBI57G4bGco8mmTRti8BUH/aX1D7u9vYfV4ot7y0LjLifQBkxPsYSMsCYOT+NeweG7ZRmGyl9MgW1pdeBsDUxEa6s0oAeHD/VEYWxUOdlewnd7Az7OfBWcwe0wpAblovzX3F7DySC0BWBpw1ejcAyUiEPV1h38bnHWB/rAqA8qw2+pKZjIofeGG/0yk5vAUAIlGOjJ4b6mbL/RyZFvI5on0P6d3tYfmNazh82d+SPxjqM5aeR0nXQQC6c0op7GwA4O/vn8uVi0ObnZO7hf70nOPlkZYYILO/63gdFmSE70emN7KntxqA7YdyuGDCfgDaBwsZzX5i6XkAHIxVcurjnwMgvXY8y5uuB+A9Zx2itDuscyR3PPdtHgXA81uO8Xd/lqBzIJTTyKxjHBsoBmD2lv/h3uoPA3Bp38+O18WMvlVszDyD+Ud/FfatbBx5x/YBsLH8UkoyOwBo7S9k25FCAC6rXEdTxhgAShLNFHUc5FDJ9LB+PJetjaE9n1+xmdI9qwFYV30Nc/ffFcq2cATJDc9w76mfB2DeyD38+29CW7vqwijp0QQA9Ufz2X8o/F09Ko1plS0ATGp7mp6CSnJ6w+emogn0JEKZjendzsPdZ4W85Q5w+uAjIa3CUxk9EMYQkkme7p3HguyQt6zeVu5sCeUxvrKPgqwXxpCe1WzLPQ2Ar93ZwzcWPULkhfbxRPX7WLMt/Jv77IkJxhSEvFR3buGRwXASUpzTf3xfDrTmMqGsnXgyAsCOxiLOHBPKeWd7FWfxaCjnwhoqd4Q8rx7758QTUTr7MkO5JWDSiKawTutIKgtC25rV/CAHq04HIC0ySH1n6A+nxx/jZ+0Xce3B0IY2zv9bZqz8FwA+n/c53rkgrF8WbebppkkAxPojnFF9kOqmMMZtKz2XkrTQD3d3jeE7Pwxj0vIbu/n1jrBOWjTC4gk7AKisf5LHK95NXUHoH/l9rbRmVoRiJ0IWoWxX7hlPXnYYw2pLu6hYfm2oi49/gUQkjYbBsA87mwpZNOo5AAo7GkhGQvllPL+OX467BYD5lXsp6G+h4GgYuzrL6ig6EGZaNtVcyaTedQCsTTuLcfkhX08eqDue7p7BOoozO1m9PxwXLh6zmXv2zgCg6dggN87ZDEBuz1GS0VDn2bs38Mzkv2J+x30A/NeRd/Dn08I2+9JzKW8K6/zjUxdw/dtCnnsGM5nJBgDacyoYIJMxjeFSyp7iMWyOh2Phpr3ZzKnrAWBi2k6KmncC0D2ihr6M0M7LNj5AcqCf5079GwBmrvkq6+YuA2Da4HpiWWFMWt0xnYajaaH88uCdmb+io6QWgO9unM7Vc8OY9tyxajLTQ1stzelhZNbRUJ9HniXtcGin+2dfxWAynYzIAAD9yUz2dZSFOixsZuX2MA5te76dD78zjBsjO+vpzi0l64VxsC2nkpaBMD7kpvcykAzl2TOQzYzYMwDsK5hFzc8/A8BTF62gpTudisJwjKrJb2LsrgcBqB+/mLrdofwHSkdzsCSU3+j2rRwonEGSUO4Ttv6MnxR/EIAlBb8lbTC0wYxD9aye8D4AqrKb6E2GcbOlr4BxmfsoPxD6wMGx5zKiN7SbYzljaOgpD+vkHqVgMPSNp9pmcFZRqP+j6aMYFavnm1vD2HHW9BhznwqX1e49/4PHy6+yfTvNxeMByBrsYX98LHuP5QOwcORmSveFdvv13uu5aNoRAOLJNMrjhwBozyhjZ1tosxlpCdKjSTJfOE8oyeriuw+Fc56Pn7marLZwT+xTpe+k8IXzgrRInI7+XH4f1ZzR/FMOjA1jV168nS29k19oD11MO3gPAPfl/zmnFW8FYPCL/x8jr/tz2iqmANCdXsSqQzUANLVAdUVIeExRF5WZYdxqjZcwtn87AI/1nM68ku00JkK7qeIA+d2NYX86jjKYG443ybR0duSHsixNP0ZvMvd4GSaI8uC2cCx658QtxNJC/+hMFFAcbQOgqPswq+JnADAjfyf31E/j9LrQvsd1baK1sOZ4HXzyZ2Hc+ftrYoz6aaizQ1f9M3l0UrHnaQCeGXUNNTmhDvL7WmnPCu0hSYS2gdDv8tO72dQU9iuRgLqyDsYnwn7vYNrxtjky6xijm9aHus3KIzIY2vm+EXOp+dXn6V38XgCaM0ZTd+gxAOqrzmVULIx1LTmjyU6Eh4qtbJjGqaNDOY/q30P6YIzO3HBcHYyGYwhA3fjxvBF5ibgkSZIkSSlggC1JkiRJUgoYYEuSJEmSlAIG2JIkSZIkpYABtiRJkiRJKWCALUmSJElSChhgS5IkSZKUAgbYkiRJkiSlgAG2JEmSJEkpYIAtSZIkSVIKGGBLkiRJkpQC6a/3Bm+55RZisdjrvdk/qqmp6URnQZIkSZL0OmpubmZgYICqqioAkskkDz30EPv27aOmpoZFixaRnj68UPl1D7BjsRgrVqx4vTf7Ry1btuxEZ0GSJEmS9Dro6uriwx/+ME899RQAixYt4v/8n//DTTfdxKpVq0hPT2dwcJCpU6fy/e9/n7y8vCFv43UPsCVJkiRJejUWLVr0sr+vXLnyJd997WtfY8uWLXzmM5+hqKiI//zP/+Tv/u7vOHDgAL/85S+ZMmUKzz77LB/60If4zne+w4c+9KEh58sA+0XeSJew6/X3Rrm6QpIkSVJqPfzww/zt3/4tS5cuBWD06NFcddVVfO5zn2PKlCkAzJ49mxtuuIGf//znBtip8Ea6hF2SJEmS9FJ/bIb6lTQ2NjJp0qTjnydOnPgH//+9KVOm0NDQMKx8+RRxSZIkSdJbXn5+Pm1tbcc/p6enU1FRQU5Ozh8s19fXRzQ6vFDZAFuSJEmS9JY3YcIENm7cePxzNBrl0Ucf/YNZbYDt27dTU1MzrG14ibgkSZIk6S3vxhtvpL29/RWX27x5M4sXLx7WNgywJUmSJElveQsXLvxfLffVr3512NvwEnFJkiRJklLAAFuSJEmSpBQwwJYkSZIkKQUMsCVJkiRJSgEDbEmSJEmSUsAAW5IkSZKkFDDAliRJkiQpBQywJUmSJElKAQNsSZIkSZJSIJJMJpOpSmzZsmWsWLHiVS/zevljeXkj5U9vLB3rH+Jw0RQACgeOsapzJgAXxu+ho6QWgGQkwsausMypuZuJpefxTNNEAC7N+R1romcBkJGWID8jBkBxehtH+kYCMLtjJU/nXALA+PyDrG0aR6w//DvY4rJVZPV1AHCgcAajenYBsC9nKgc7igFY9Ny/sP2sDwKQSEaJkKQs0gTAE41TGFUUtnn6+i/x1Jx/AmBu8hma88cB0NRXSnZaPxN6NwKwMeM0DrXlAFBe0E9eRl/Ic2YnBfFWALrSitnVXgnA2MJjjEg0EY+kA3CMcgrTQp5XHx7HhcWrASg48Bxra94FQDwZoTbrADd8ohOAb36umHVH6wA4bcR2uiJFAOTSxU83TQhpPbmf/3h/2H7x3nU0jT+LbT3jAYhGkkzJ3vlCfUQpW/VLAH49/mae3x0H4N1nHqJ69V0ArDvlg0xkG3ujoZ62NRaxcPT2kFYyfnxfCnubeKR3AQBjCjs51JnPgrwNADRmVlNAOwDdFFDTFsov49Bufln2NwC8LfprIonBkG5fL7/IeDfRF/6J8x0HvsSWOTcCMCKthVHrQp47/n/27jtA7uK+//9z+97e7fVedKfTnXo/dVQ5QEh0m95tcItJHNk4BNvBDrYjOwlWXJQ4cQwYGYyx6U0U0USRkIR61zVd73tl97bv74+R9Yu/YEBibbD0evy1t/v5zMxn5j0zn/ft7t3kpaS37gHgb7dcwLUXpTB3108B2FvzOUaH9pk63dnsGTbtn56yl4TFFOyz5eKLeAEYF9vN25HZVKSbePBHPUxuMvUMF4/HmjB983DnQiaXmDFLc4xQ2f0WvbnjAGgMj8JjDwMw3vc6/vRiAN4cmk5emomtPc2pnFdp2hWweil5bi0vz/2eOSezlVcaygGoHV1HbzQHgEJrGx1xU1YiYaHQ1mbaaE3ntboSppaZ9tgsCfLtneac+jcYKp0EQIujkvYhEydHux3c4FiHr9jMz0OxsWw+4Abg3Kk9dAQyAZiTeJPGVHN+oy8bu81shTNT9/FS1xTOydkGwCsDM5mbZ+IpYnGSOPZ76cbhQhy2uBkz1xAHenIZlWViuNTaTFO0AoAZ/c/RUGDi5uhQLhO8Dab92x7j98VfB+CSfd+i4+yb2HjUxP3s0nZ6QuZ65rb8htbqZQA0B4oIRm0AjPU2Y4+bsQhZPQQTbqqOPg/AkVHnMBwx8zaBhSlDr5nHNjtxmwuAn+xdyMwJMDq9G4CikToSD98LwHNn/YKKnGFzzXEbU+LvANDnKSEjaOJnW2QGNY7tHLZOBKDY0c72PjMHz0jbTpezFICseDevdk02zxceoi1SRK7TzN3skVb6U4oAiGOjcODYvAuPMJJu1pTULevZP/8WwKyVR/1FZLr9AHQMZ/CHOxhfwM6sombTz/4CJrgPAZA+0EzM7qYudToA69/JYFXJIwD8+9FLmDfZjOFwyM6yDaaetsv+icFIKgATglsJu9JJ37kBgMFptfQ4TawWBuroTjXjnBnuotVmHu/rzGZiQd+xNqYz2Xvk+PxqilYw2lYPgHeojWBKFgBbwzPpGXLwBzOL29l81PTN4vIGAnHTnkx6sSXMOtIUq2CK/w0AgilZJCwmNuJWGxlte3gy5RoAUpxxcj0B89geIhI39eTbOglaPGacQp1E7C4cUbPG9ziLyQ2befjPz1RRuzgdgEVpWwnZzTkBWzrZI62m3KFOLAd3Ep1qYv35SC1nOV8BIOpIIa1xBwCfemQh//qNPAAqO9/glZQLzTFxK2cPPcgL3isByPYEmTZszj+aPZP2QDYABR4f+ZEWAHaFJ1OS2kvhiOnPo+5xVD69GoBn5tzFrIJGU5a/heeGFgJQkT1EPGHmcL6rl6FYGhP3/NqcP+0SGodN3BWn9lHZZubN3oJzyHaY8bTFo7iiAfwOMz8PDJTRPWD2iOXFu9gfHgtAhnPkeD0v7Ehj4RTTr1nOYWJYKY0ci4EDb4HXlIV/kF3jbzBjCEw/ZNr1esXNHGhxcu44cz0lb95PxwLTT0X7X+Dw+E8B8JtXM5k/3cSAxxnFYTUx5xtxMzttN55ADwCWV57i6bnmPveSnrUcnnQZAI9uzuHWiscB2J+3DF/IjHM8bqHG8jabovMAKEvvw2M1c3Awln78/iPdHSYUNX0x1bWXXaFJx9swwXGAVqtZ+4/6MnDZ48eu00KJ12faRYKWITMfJmU0srt/NOf0rwOgu2IOh4JmfRwYcbIg3eyxPfYiRg3uNmMTHKKrYCpHg2Z+ptpDjAnuAuCgazptg2YvXNn9P/jGzAXM/jCr7xlzTOEyegJeMlxmL3t5j5cvlz5lrjOrgvqYWd+mjrxOc8ZUAHpD6WQ6TV9k0cPv9k2g2IQ32akR3PYIYNbRQNj0Ta4nQIXFjD+Y+dqJabPbGqLygBmDgTFzqMfs6zMO3kugcgYAKX0t+HMrANhnmUqua4CKdrMOvJ5+EbsbzPz+7N6/YedFPwIgw+WnecD07ZSsBjzhAazH7kc2BWuYnNkIwFA8HV/YrDXjrAfoc5r58FpdCVfkvwJAvWcKI1EXncMmPkrTh5ja/CgAiY4WfLPPB6AxUUnHkCnLZY+zkFcYSjPlbRucSHVWBwDRhJ036goAyM+KMzHHrDs5wVZ8bnO8O+7HmoiR3WrGs66slqy42btKxk7hk0jvYIuIiIiIiIgkgRJsERERERERkSRQgi0iIiIiIiKSBEqwRURERERERJJACbaIiIiIiIhIEijBFhEREREREUkC+8fdgI+T2+1m1apVf/RcV1fXx9QaERERERER+Wt2WifYq1evftdz/2/CLSIiIiIiIvJh6CPiIiIiIiIiIkmgBFtEREREREQkCZRgi4iIiIiIyCnvmWeewefz/VnrOK2/gy0iIiIiIiKnh69+9avY7XYWLlzIhRdeyJlnnonb7U5qHUqwRURERERE5LRwzjnnsGvXLr761a/i8Xiora3l/PPPZ+HChdhsto9cvhJsERERERER+atSW1v7vq9v2LDhPZ+/8cYbmTp1Ku+88w5PPfUU69ev58knnyQrK4sVK1Zw/vnnM3PmzJNulxLsj+j2228nGAx+3M2QJFmzZs3H3QQREREREfkzmzlzJjNnzuSb3/wmr7/+Ok899RSPPfYYv/nNbygqKuL888/nq1/96gmXqwT7IwoGg0rKRERERERE/oL+1DvUJ8pms7FkyRKWLFlCKBRiw4YNPPnkk9x7771KsEVEREREREROhsvlYuXKlaxcuZLBwcGTKkP/pktEREREREROebNnzyY1NfVDHZuenn5SdegdbBERERERETnlrVu37s9eh97BFhEREREREUkCJdgiIiIiIiIiSaAEW0RERERERCQJlGCLiIiIiIiIJIESbBEREREREZEkUIItIiIiIiIikgRKsEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAvvH3YBPGrfbzapVqz708V1dXX/G1sgnyRbHIqyBBADNiXzq28zvp0aqChiyZwEQx8qvHmgDYNzfZOCO+rnY/ysAhtPH0d7rAuCSlKfZmbYUgK54Lin2EACHcxbg63UA0OnMIxCyYjv2a7Ahdy7uQC8Adb58RrxuAMYOvs36urMAmDvnPIpizQD8z7YpXDuvifytTwIwfkY+fcE0U+cZV1JEHwDOrl7cnnwAJofreWJgKc7iiQAcaPBwQ+TnAPTmnYEzEgCgI1GBI2baXHHoScrTMk37vbU81zKFi17/PACp8Ti9190BwIT8HoasuQC0j7mQfKu5lr29JbhshXzl1jEAvNhgZ3n5fgAGLNncvT4VgDvn7SI3eywA119Tit8ZB+D1rM9S+/tbKLz0OwA8+FoGC6r3AWCJRWiefy0AoyJD5Ewz/T8STwGn0/TFcAo13VtpzJ4JQFpKnP95rQKAfyr7DeHsItNP9Xuoty0AYGnVLqJp09kZnmJeS8SoPvxbANaXfJlQxmxzzYPdWC0mZja6VpAwDynKG2AiPbxxJA+AxllXk8EAAHt8FaRMrTX9bCuFEnPOvxQfwRkaom/mCgAKaKPBZcapNNpASVo/AK3xcsb3bwRgq30Sc9J2AeB+6xk6qxewabcZ66+PfZb2MYsACCRSaR7OASAUTrCrOR2AMyoDdOVPJi1oxqrA3UdbwIzhkex5vNNs2n9x3uv4XKafGlLGcDQyCoBmXyrhc1Yx0G471uYDjC0y57SHCnhlV4o5f1YWBdZ2c06kjJZEKQCbDqWR6YV8Vw8AvmgmAUwMDxePp8lWDUDFulspuOYrAIzPSKU3NoMjYRNPXucIV0wzcyKn5yCD6aZv7YODtMUzAYjELLjsJp4c0REWFNezNzAJgPSUKOn+DnOcIxXPoJnfvZmZjE4cASCacHLByHM05S8DIEwK48K7zRhknkupxZzf1OWg3Gvav3/mZykcCQMQ8/txRQNMLjJjWBBsxJpi+vDZrBup32UWgS/mP4qtx/RT46SLiFhNDD/0dhF/O+F1LLGYqT/uIMfpA2Bz6yimpFgA6M6qJn2k24x5IIrLZsGbMMe1uMdS+ukbAah0DBKMmrKfeR2G5swDoJp2PAOtAEzIz6QuOp4iRycAQ4kMVnT/wvRHvJhG53TTf95+zig8BEBPPA+HNcYrDeUAXNf9IL9O+wcAsjMs1BaYtthSIrTZzTGhuV/BSRQASyJBx6CbwExTdtaurbywzayDy2cNEsPEWbGnF78lw4xZlgtHPEQBZtzc7iwG8kzc3JLxFv+xfS4AK+cOkVJj5m1+6Chd8almnNyzcNvD7J/6twDM7n0aV6ppZ713Om/XmflwcVkXvSNmbCNRCxMPPGj6uepGrIkYMatZ1xt6U2mymHVjfpGHKOZ5DxH8I+bxxFI/uZE2sr1mrpY0byKWYso+nD0fj20EgH//WSff/4opq2U4lwX+p83jgtkER83l8V+aWLn9Jhu9ITOnx4b2cO+R+QBcOGWAlPgwAE22KgotbVgSJoYGIml4HR4Avl/7DtvsZu27/8hsvuB9AIC+0rNJO7IFgPYpK9nrOp8lsecBmJnbQF3MjFNZtJ72CWcD8LkvjqZq188AeKv682TagwBUWo4Qj6TisJl5ODm0mcdDK83YBF4n7jFr//0vZ3Dr/HoAElgYibvZFDFjWOVpxz5jDgCzChqJYGL4vsaFzKoye9eYxCECTtMXhY2baKpYxuD4MwDY01uKP2jmWrorhZFssw75gilMOWKuq3PcMoYdWRR17wTAkp/gl3ebPpu/Kht71LTfbQuREzXzfsbYSUyNmn5KxKzc17iQ2VUmbnenzuHq7OcAeD3nGpZ2PwbASFYJ7ZOWA1CdaKTFM46UmBkriyeVnX2jAUitnE2aZQiA8+anMhQ2c32KbQ9+V+axfiqm115IKN2MZ+aZFzM+1azpPXlLCcbMvvj3E15mu9vUOcpyFL/VzMFg3EHQlUFds0kZPM50UlJMfzotEf4g2zXEr17zmjqWVdLnd3Dx4H0ABIrHkZdi1oq9I9mUFJhrcdgiFMZaAMjorSM73+xpzzdOYGrJAI1Z5t7msK+QkbAZm0VZu2i3lQHw0p4cvpRj9rtQej7O2AiTEzsAeKR5AbZys473D3uozDLXvN17NRNGtpq+cVrYnHk+AHNe+h5ZtTeQ02/WdcuUBbTZpwPQF8lg+uAGAH7ceB5Lp44cv2bvsb370EglVgtkekyfWC0J2gZMn5/reZXGdNOWtqFMHKmmbysiB/h1/TwuH2f2i2FLJvXjLwLAbokyOlJn6p+wFL/drGkp7iwOh8z+Nsm6l399YSLfHWfmUSxuYeUUs9a5+vIJx8yamEhYyE8zfb53oIKitEHKEmYeVWV2sqPXxFN5pg+3zay3YVsKiYSJp5Fggkf6lgIw1unHQoIirynPaQuzreRSM875DiIBM04LLBsJpJh1o7XPjb8gj7aEGbfpGYdoDpnHzb5UlleZPo/g5OU6s/cNDRfzhbL1ZixiUfwZJVi6zP5TlFfPg82m7C+bpeETRwn2/2P16tUndPyJJOMiIiIiIiJy6tJHxEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAiXYIiIiIiIiIkmgBFtEREREREQkCZRgi4iIiIiIiCSBEmwRERERERGRJFCCLSIiIiIiIpIESrBFREREREREkkAJtoiIiIiIiEgSKMEWERERERERSQIl2CIiIiIiInLaSyQS9Pb2Eo/HT7oMexLbIyIiIiIiIvJnV1tb+76vb9iw4U++9vTTT/PII48QiUS47rrrOPvss3n44Yf5wQ9+wPDwMGlpaXzxi1/kpptuOuF2KcH+iNxuN6tWrfq4myFJsmbNmo+7CSIiIiIi8mfyzDPP8LWvfY0ZM2aQmZnJrbfeyje/+U3uvPNOrrnmGiZNmsTWrVu56667qKysZNmyZSdUvhLsj2j16tUfdxNEREREREROK+/3DvX7ufvuu7n88su58847AXjsscf41re+xQ033MDXv/51AC688EISiQR33333CSfY+g62iIiIiIiInBYaGhpYvnz58Z9ra2uJRqMsWrToj45btmwZDQ0NJ1y+EmwRERERERE5LSQSCRKJxPGfPR4PAF6v94+O83g8DA0NnXD5SrBFRERERETktFBcXEx9ff3xn202G/fccw+jR4/+o+NaW1vJzc094fL1HWwRERERERE5LSxatOiPEmyA+fPnv+u49evXM3369BMuXwm2iIiIiIiInBZuu+22D3XcrbfeelLvYOsj4iIiIiIiIiL/R15e3rve6f4wlGCLiIiIiIiI/B9btmzh+uuvP+HzlGCLiIiIiIiIJIG+gy0iIiIiIiKnhQsuuOBDHef3+0+qfCXYIiIiIiIiclqor6+nqqqKiRMnvu9xra2ttLe3n3D5SrBFRERERETktFBdXU15eTmrV69+3+Oee+45tmzZcsLl6zvYIiIiIiIiclqYOnUqu3bt+lDHJhKJEy5f72CLiIiIiIjIaeHmm29myZIlH3jckiVL2LBhwwmXb0mcTFr+J6xatYo1a9Z85GNEPome3BZlgettAMJ2D5uHpgCw2P0Wv2tfCMANkZ/zs9DnAThnSg9dIxks8D0OwGB+NXGLDYCUYD+2WBiAw2k1DIVTAKh0NTJsyTheZ164hbDdvOaz5pIZ7wFg5/B4irwDAFQ89E8cudR8xKXI0kLu/lcAGKqazYONc7gp7bcA9BZPxWfJMY+D6fz+eVN/UXEa18yqA+CdvipSHDEmpx029e9/mcDoaQDY1v+WxFmXABByZ+Ae6TfPhwO8YD0PgIk5bcQSNoqHDwHQ7y3l6YNjAFg+7ii+qLm2dPsQdQOFAASjNnJTRyj83qdNed//T95qHQ1AhidGeXofAE5rmNT4IACd8SKiCfMBnETCwoy2x/jbzaYNa2rf5Nc+88crnA4ozTHXGYpaWRp/HoCBjFFs6jffu9myM8T46hTOK9gKQNxqO35tOxzzCcfMmM2Lvkx3VjUAJXue5ZnCLzEr6yAAjliITlsJAFmWPrL7647X82avqWdKfjsVb/3KtLm8midsl7Ike6c55+h2Hk29EYBLun9K3eTLTF9YYlQceQ6At0uvJM0RJIEFgFf2ZTGt0lzbwvZfE84tNf2ZkkN6+z7TT+VzKWjabK7LncoP6y7kb2ea69wRn8lMi/nY06bIXM7sMm27h5vxB+L8wS0Zv6at4gwAYtiJHvu9bEXza1gCQwA8kXUzi7LMb4IPRsdR4W427U9ESWDhh48XAbB0YTrLHS+Y9rz4JM55Zt5YYhEay88EYFTnZpry5wGQHe2kxVLBwLH5AbDtkBOAOeNClKR0AdASyKfc03a8zs5oIQe7TKxV5w+Qag+ax3VPEckx49SSNYXD/YXHy33prREAbjx3hPx4O22Umf6MOcl0mutsHsphSqoZ819sGselC0xsdvgzWdT4C3aPvxaAiX2vsC39bAC6hlMIBE2slmQHKfGYOdwVzMJjN+PnsoXxMsBLR8cCMG9UG42DeQBkuEPUtD8CwCOu65hW2AHA6M43OZhvbg4m1D/OwKjp9DnN9WxuLuHKwP+YC4tGaJ28wtTf8DrhzAIAGtNn4LKGyA6Z75Z597xGQ81V5rXBfBYHnzb9lF/DCwdNbM2pHGQw7DZlpfYwqnMzB3KXHu/D4Yh5bUr8HY44zPr48h4vK6aZa+4Lecl0DdMVMGOTmzKE1WJirTfoJdMVACDf0sH6JjNvJhYPU9PyOwDCuaU0p08mK9YNwOt9kxmfa8rOsPQzhCk3M96DK2rKerprDlcO/Oz42IwJ7eanu0x83TivnpSwGVtHxM8+Rw0AU4dfxRYy52/PWUFDbyq1eWauRm1OIlYXAJ7IIAOOXACyQ+0csYw/3hc5Th8A9UOF1Dh3MOzKNvXEgjRGzfrWP+JiUmYTAF2RXJp9XgBm5DWx/mAFl1buMH1jL+StJjOHLst6kXccZj5G4jZyUoYBONiVRX66iSenLcr00Jv0pZcDULhnPYcnXwGAjRhpCbN35G99gsOzbwQgK95Nbv0mdlSYtadt0MuKgNk7XvRexqzUPWaMHVmEEub6Uy3D5HeZ561H9jA882x63WZ+jcTd+IKpAPz+uRCXnWvOKfO0U7L7GQB+l3ULecfa3Nzj5NK8V/nJ7gUAnDd7mCJLixmD4QlM9Zo9qS5YQbXLrK8Rm5vcvkOEUzIB+N4rU7lhuZnHsYQNX8gDQIo9woTwOwBss8yjz+8AID0lSrorxM4m0++11UfZ12fan+EOM9m221xnfzN7cs4CYGxwOz3eciwWc+uc13+Y4TQzNk83T6XxaAiAb4x/mre9Zt49tTHOlImmL+aVtZD4h8/wn4seBuBbyw/zTnAqAGPS23lyt1l33nq5gS/dXAzAa9tt3Db6MQ4UmDXypT1ZfKH0WQB+O3Qe00vNfmWxJKgeMmu6s6+dveUXAjBpx90cmXktZYNmrH7deRbjS82a2Od34naYOTgrdQ9e31Ezngd3cHDB3wAwYd+DdE2sJX//S2YMJn6KMYeeBOCFgs8yPd3s9zltu3jCYeLsPOdzHMmYRSRm+nrihu/zzMwfABAIWaktMXvUoCWL0sG9pty0GXhtJp4TWGgN5GG1mn5OtYcYEzR7jGvrBp6Y8M8AVOf2U9drxv/8g9/lrZrbOKPrIQDeLvw0UyOmP9a1LqG1zYzNtyLfYfeybwAw4+jvCBaYe5Tf9Swl1Z3gAqeJz4TNjrPpAADhions88wBIBq34wuaePb5beSkRQE449XbCJ91GQ+3zQfgutSH6SicDkB7qICxmGt2jfRTnz4TgMO9OUzJa2NLq1ljFxUfwrn22wA4PreKHRFz/1WV1symDtPOiuwhHNYYAM++4+W8mgF6RkwMZ7pGGIqYtlV6WmgOmtgcZz1w/J5zwFOAJzxIzGr28uyOfVj7zV4K0DT5IgAsJChtM/cPg3lV+BxmTypvepnhwnHsjZs13uscIcVq4umIr4DSdB8AfcE0KlLNvpw72MCBlBqcVtNXO1tzuChn4/E6XwuZeR+OWpiQZ9b38oEdvG4xMV+YNkgo5mBan7l/OJC3lCybifvRY6r4JNJHxEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAiXYIiIiIiIiIkmgBFtEREREREQkCZRgi4iIiIiIiCSBEmwRERERERGRJFCCLSIiIiIiIpIESrBFREREREREkkAJtoiIiIiIiEgS2D/uBoiIiIiIiIj8uYXDYWKxGCkpKcef6+vr4/777+fw4cOEw2EmT57MVVddRU5OzknVoXewRURERERE5JR3yy238G//9m/Hf961axfLly/n3nvvpb+/H7/fz9133835559PXV3dSdWhBFtEREREREROebt27WL+/PnHf169ejXV1dW89NJLrFu3jnXr1rFhwwZGjRrFD37wg5OqQx8RFxERERERkb8qtbW17/v6hg0b3vVcIBAgKyvr+M+7d+/mP//zP8nIyDj+XFZWFp///Oe59dZbT6pdp2WCffvttxMMBj/uZsgn0Jo1az7uJoiIiIiIyJ/BmDFj2LFjB7NmzQIgPT2dUCj0ruNCoRAOh+Ok6jgtE+xgMKhESkRERERE5K/Ue71D/UGuv/56vv/97zN+/HgWLlzIddddx1133UVFRQXV1dUAHDhwgB//+McsW7bspNp1WibYIiIiIiIicnq55JJL6Ojo4Itf/CKlpaWMHTuWrq4uLrzwQjIzMwHw+XxMnjyZ22+//aTqUIItIiIiIiIip4UvfelLLF++nEceeYSdO3dSUFBAPB4nIyODqqoqli1bxllnnYXFYjmp8pVgi4iIiIiIyGmjsrLypP+I2QfRv+kSERERERERSQIl2CIiIiIiIiJJoARbREREREREJAmUYIuIiIiIiIgkgRJsERERERERkSRQgi0iIiIiIiKSBEqwRURERERERJJACbaIiIiIiIhIEijBFhEREREREUkC+8fdAJG/FhUZvbzQNR+ARAIuCa4DoDH7TKaWDZqDDkXZvaMLgC92/ZjImV+nsXghADFs+KNuAIo9Dg4GKgHo6XZyie+/AdhddSUWEuYYmulwlpMXbQPgqD+XpkQuAFv3W/jqmDcB2LjyJyx5618A2D7nazBhKQCuiJ+8LOjNmwpAyJpC2eBeAMrjEUaWnQmAzRojp/8IAAvTBonanLzROxmAaZPSKH7hvwBouuQb5IeOAuDtOow/dzQAdZ7Z1AZeMnUE03m8Yy5Xpm4FoKj3TWrHpQCQGeqkKVoIwOjIfoo4AMCIN5sjiXH85rwnAbgi0ckltkcBaMmcfbw/CgcOUu+dDkCerYvt/VXmee8wRyuW8m85uwFo807jU15T//7ERLqHTZ8vzNhJOJoJQLelkHlZ+wBwzxrP0siT2I92AhAoHkdfermpJ+E7fs0tqVPIDzQBMFg1l9YGCzXZ5neUfkcGGQwA4IyMYI0EzXgMjWd8bo8Z264i8qebsQm4Mrl4+10E0uYCsLfiIqZYTf17864lFrUB4LGP0Dt6DgBTRrayz1JDNGHq/DI/pSX1AgBezr+eJbtWA5Cekck74z4DQFX4II+6rwOgNmsb48fY2Rgw5c3O3I9nxyYAXBNm0Vh9LgA3Nv+GA2POBqB1KJPEvhYGR6UD8NzOHJZMHgLge/Wf4jNLTGxe2Phr9uWcB8C8tgcJ5ZYB0Jw+mWDMxb/NXg8AYSvt+bMAiF36D9gsUdPPvjrcjADgy60mxRIAIGhPJcfSS1XAjMFO5zxGl5iiGntSmOMw49yQdgFFTWY+bC+6mEOdXnyDJm4+zXO8kXGRGZuqc/BG+wEo7d3BG0OmzdfYfkNw1hUAVPi30pg6idf3ZwLw+ZxH6C4w82GpbwNPBq8y1zklxo62AgBmlbQSKalicquJ4YHiyfQMmrgPBK1c3vnvAPQWLac/kQfAE69Z+MdFZg602yoJkMbi8gYA3DE/4zJNDLUHC3in+BJTv3U3IYsHgAN5S4/PjWDBGPbHJmINxgGYWdLFSGAcAI6RAYLxY23JG80Bx3TTxmE3SwYfpr3MxMNQzSUc7DPzsyR9iAhmzDe3lFE7rhWA8paNBLPMAIQiXh6NXUJtfCcAWQdf5+0qE3fvJGZTbO8FwOVMp3EgB4DZabvJ3PIs4Zl/A0CupYuo1WnGw3KEI/GJ5vn27UwvKwZgUsd69laY8YvFbUw9+Bt6n38ZgLbaB7kgtAEAS9BPnse0+UBhLekusybneKP0Fy5ka4MZz7yqAs6fY2I4ZrGT1lNv+iN/LJWYdbAjZzLZI+aaR9vqGZ0Pe4ITAEh1hilxmLg/FBvLxOguAGyxMH6LC4DK1BbcUT8AS3xvEPFmM+Ay494ZL6Nr2IzHnMx9OMIhAHa3jsHrMePZ6C+mNC/OkCMbgDLfLrryTfsb3NMospq+3dJaSpbbrAefGvkVu/MuBmBKw++J5JbixwvAs8VfZqn/dQBeCS1kTJa59Ts8+SvE/Ob8YlsdsfRs9rVlALCyeDsj7lIAJqYdJRY15/RGMvFHzHUWe2IczFlkxj9/MimRIUp7tgMw4i3A4jZ7xN9dEiSSMPFc1LqNo5MvBGBcZACHLQJAisNDLOFkwRQTw3vas/DnmXryPX72DJn1fnH4WV4Mmnk7GLDR3T+GymJzzt+fe4T/etms3d+a+gKdeZMAiCSchCwmNiyRBCUZZn3JdfXTEcyhfyAGwL6+EsozzfpQ5Xub1myzd6aFDzM6ZuZqh7eKTc2lTCw06326u5t/ftT0049r7qVu8XIAYgOppLvMmvb1M5sYcJi9GyDnzu8xqcW0563h6aQ6zTpY3L2DcaNM3CeWVDDF9g4A8WlT6PFMpjBuYnLHthAbK84BYEZZH9ubTZycX7KdrsyxANgyx1AcMetmYMI8RmJuWtJNf4xKRJnf9xgAdSXLKPWba3P29dJcYNaDLm8tjqjpl85JZ3M4UEF2232mn/ILyB1dA8D+fVbmTRgG4D86LiMwYsZz0sIZjO1+nd1ZywDYfea36G40sXb5qM38x8bpAJw5O0GJxTxfGm3gpR5Tbm3mFp5pKOOiSXUADCe8POlbAsDKuU5G2UydYwc2Ue00++WPPd+izGcl0Wauu6yiHfdes0ds2zeB/1pq7lOOlK7i/ifMXJs+w427y6y7owvn885hB+3Tp5ixjfRydOo0ANr82aQf26MKXV2k2M08yXI7mTLyhrnGc+6k2NXB+BITX8OWcgo3/hqAltm3cthq1pDCzC7WPWfW8SkTrXSM5OBNMX2dFuwl9YKVADznr6Ey08z1zkgei/P2AOb+xWM1bTmvJk6WrZ/KhLn/8dmLOdJTDcAZzS/RM+ZyADKO7uaNwisByIkNUXL0VWLeLDPWxdNxFpj56R1sIStk7kXS+ptI2Ezfxi02ekOZ5lpyL6fE1YMrbMZ6Qvvz7C8y8TglqwF3xIzNoHUcURymzz0zyLQPUbr+JwAcnbMa90CHaXP+OM4aeQaAfVmLyYp3A2BJJMCC6WdbP53xPHblnAXAtM0/xeJJNS+OWcUnkd7BFhEREREREUkCJdgiIiIiIiIiSaAEW0RERERERCQJkvodbLfbzapV7/9Z+K6urmRWKSIiIiIiIvKJkNQEe/Xq1R94zAcl4CIiIiIiIiJ/jfQRcREREREREZEkUIItIiIiIiIikgRKsEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJgqT+FfGP6vbbbycYDP7Z69G/ChMREREREZFk+0Ql2MFgkDVr1vzZ69G/ChMREREREZFk00fERURERERERP6P1157jdra2hM+7xP1DraIiIiIiIjIB/mg5HfDhg0fqfyRkRHa2tpO+Dwl2O/jL/WdcPnk+Et8RUFERERERD4e99xzz4c67uDBgydVvhLs9/GX+k64iIiIiIiIfHgn+w71D3/4QywWC4lE4gOPtVgsJ1y+EmwRERERERE5LRQUFLBs2TK+853vvO9x69evP6k/jq0/ciYiIiIiIiKnhWnTprFr164PPO5k3r0GJdgiIiIiIiJymjj33HMpKyv7wOOqqqr48pe/fMLl6yPiIiIiIiIiclpYuXIlK1eu/MDjxowZwy233HLC5esdbBEREREREZH/o7+/ny1btpzweUqwRURERERERP6Pt99+m+uvv/6Ez1OCLSIiIiIiIpIE+g62iIiIiIiInBYuuOCCD3Wc3+8/qfKVYIuIiIiIiMhpob6+nqqqKiZOnPi+x7W2ttLe3n7C5SvBFhERERERkdNCdXU15eXlrF69+n2Pe+655/RHzkRERERERET+lKlTp7Jr164PdWwikTjh8vUOtoiIiIiIiJwWbr75ZpYsWfKBxy1ZsoQNGzaccPlKsEVEREREROS0MGrUKEaNGvWBx7ndbkpKSk64fCXYIh9SfqSFDT35AFwxdieHbOcCUNebQyxhAaBy7HzGh/IACE28gM5hL2c2PwDA9rHXMynwFgARl5fJrv0A+NMy+JcjnwXghgktJI6VVR8aw7SBV2jMngWA0x7jjKP3ArCouozX7CsAmGffzN75XwHAaw3gCfrM+c5JnJG3H2d0xPwcr6AwtBuAhwIXMrWkH4Dx/RvZ6DJlzY1tJm610dln2uDO8RMPmPMrN93Db4q/AcCMsjGM7X4NgOmDu9lefjkAe9vSuSzrRfZ5zG8FR6cfpCOQbfrD7aTc1QHAgKWAguFuADLqXqGwJotL5qYBkBofpKVgNgBtgVzmdf8egKbyZeTEzTnZXQdo7h8LQEGahaFYGgdjCwE4e9t/0FxzGQBPv2DhDr4JwNDSKwg6vabPIylErGUABCNWAt4i9qfVAjBz5DWKOzcCsDH/KlJTh0z7E06O2M0fw5ja+yLXlvpp41gbRhq5++BcANLTrNxo3QHAEvfLvOk3fRGKWIlZnQC0x0p4o/RrFNsCAJRbW3i5ZRwApdkhAmGzNI/ODBKwpQPQ6hpFf8CNz28DIDz6C4yhBYCFkefZMWcVAIMhF0u23wXA70pu57ycN821+OcSiliYVWjOOeCvZurkIACTLXtJbz4EwOtZnyIzbsY81RFheEYthTFzztlTrfx+oxmnKxcPkBbxAdBfMpVA1A1A1+h5HAiMAWBGeAdvBWo4ZLvC9FthJxv2FgCwfGIr+YNHAbBGgjhipi2N0dFEwuYau4ZcXDhwN5HsIgCm2N+hJcf0eWHkKI3O+QAE+m0kbA4Apvk24Ck5g/wi80dJOuw1eCOm7FFvrSMRDpkxWHoD+dYYAImQk5n5TQA4unxUj7xBcVUpAE/4PkVh0Jw/MiqV89seBqA5fR5jMyKmLZ27IBGnqXwZABV7H6fXMwOA6sIReorMWpF74FWiE88CYOncXA5apwDgTQQoHj5AxJkKQNDp5aDPxOdc5xaOusw1HwpVUzPwkhmn4HksKTJryJGUaUSCVvI8wwD8dmMGVy028RT12Bjf9CwAcbuTGbFGAFrLF1LvXUpu2PRT1Opg1yHzMbiF0/azy2niuTp/kIN9hQBQuoiKN+8B4KWx36CjO8EL8elmbCaWUh07DIA7OsDO4BwA8rOhLKP/2NhWMsNi5e7H4wDc/mkrvlgmAA2JEhJhs+40jlqKJWra8rOey5mdbcYsGrcSzS0h+BXznblZwQCJfjOnfIUTSO+rByDP0kkAM9dnp+5mwJHLeWNMX21onoDDbsq+xPYKfYVmTufufoHWGRcBYCXG8wMmtibk99A8mMX0dDM/4hYbO31V5pqzGkiETKwSA6ctCkBq2Mdbw6ZfznYeoS9jNE0BE8PjXYcpyTLnBKzplB7rz0tnDHPQZc5x28Kk2FNIjQ6Y/kifwfzG3wLgLxrLQy0LALDbIdfeA8CLOddyVt3dAIyUjOPB9iWcndVg2hB/mrAlyzxOPMO9h883j8e18FazibP9Q/P5vPdBllSYPnQPDrD2wCIALp/dQifFALQPphGNm3E6o/159o82f4m36OBLPJ9/E2eFjwDg3fMae4rMOj6ruJVANMX0n8OFFTPvInEbKXYzt+q7PIxk1ZDhMj9fkfg9LW6zpu/vL6Wp03yjMXfMEs7uexyAu1ou5Mp5baRHegGoC1ezYIZZB7qzJrDfZ26edx+xcONU00+THPsJ2T0APLCtiqpRFi6dZda3t9vKaBnMBCAnczTxhKkzYXfyut/sw6OdfezYPczltufNa/t28OOZJh62lVzGriNmfbw2ZzvpNrN3HAiPp9pq+qUpVkGZ723Gl0wFoMLdzP1bzXpZUDOP3Jj5i8U11U4cEfO4e8hJeVoqqQkTDzdekcOs+BsAPN+7GI/LxHNm/Rb6x50HQHHHJt70mnGu8jQxOriftMZ9ADwxcCNnW1oBSC/xEXKZPeat2ALmjpjvmjo8YaIJ05cFO9ezPu0rZJ35dQDOevgWei6/DYBLpzfQHDPtXzGzn9Yh0399IS+h7CUU2cyeH7fYcDpMPTui0/nbBaYtAUc6cb+pxzPUzqgss4at757D0gnd9EZzABMrM0tMWWn1BxguqAHgYf9KKvNMP61K3EVX4QX0FH4KgNSQj2D1TADuqBmmkcWmHouf1Qu3AhByltDtHW3GPD7El8q3YukOA1CfM483jph7vksqttNrN+tg1kg7zzWbc64teJF3XKbcCmczmzqrmVnQbOrvauHAglvMePa+wMPhi814rP8yF137XwCUuuu4e2MZVy/sBOBwZBKji81eeu7B/6I+y1yLFdfxe4HcWCepwybm94YWMpzqJuo1ffhWSzkrcjcDMJw5hY5hE4/5o+djD5l11x9J4cXc66hM7zJtGNjNFqe5T8lILyMYM2vq6DwXIZuZK87/uJ30r/wUgJkdz7PDcRG5TrOuP2y5kubtZk5fNauPNquZd5muYdoDZvyicSst4XSyl5l7xeUdD7Ap71IA2rvdnJ1l7jnGBbawIXomAJNyMpgZ2QPA7uGJFKf28doRs47Gav6esZgYMr31yaPvYIuIiIiIiIgkgRJsERERERERkSRQgi0iIiIiIiKSBEqwRURERERERJJACbaIiIiIiIhIEijBFhEREREREUmC0/LfdLndblatWvWBx3V1df0FWiMiIiIiIiKngtMywV69evWHOu7DJOEiIiIiIiIioI+Ii4iIiIiIiCSFEmwRERERERGRJFCCLSIiIiIiIqeVQCDwJ1+LRCK0tbWdVLlKsEVEREREROS0sHbtWmbPnk1NTQ1Lly5l3bp17zpm37591NbWnlT5SrBFRERERETklPfwww+zdu1aVqxYwR133EFNTQ2rV6/mpptuYnh4OCl1nJZ/RVxERERERET+en3QO8wbNmx413Pr1q3jc5/73PH/FnXVVVdx1VVX8dWvfpVrr72WX/ziF+Tl5X2kdinB/gu4/fbbCQaDH3cz5ENYs2bNx90EERERERH5M2hqamLBggV/9NysWbN46KGH+NznPscVV1zB//7v/36kOpRg/wUEg0ElbiIiIiIiIknyXu9Qf5D09HT6+vre9XxhYSEPPPAAn//857n66qv54he/eNLt0newRURERERE5JQ3adIkXnzxxfd8zev1cu+99zJ9+nR+8IMfnHQdSrBFRERERETklHfBBRfQ2tqKz+d7z9ddLhdr167lsssuo6io6KTq0EfERURERERE5JS3YsUKVqxY8b7H2Gw2vvvd7550HXoHW0RERERERCQJlGCLiIiIiIiIJIESbBEREREREZEkUIItIiIiIiIikgRKsEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAiXYIiIiIiIiIkmgBFtEREREREQkCewfdwM+ydxuN6tWrfrI5XR1dSWhNfJxS1isTBkdAmDz0BQmZLcBYLPCuMwOAPotBVSNsgDQl1LC+JSjbE+5HoBcZz+9zjEA5PXsZ2/aNABy7INcPH8IgL195TjtMVOuJUFrzjQGQ6kAZLn8HB2/EoCm4QLm2LYC0JtSRlGsBYCX2ycTKzK/N/NYRuhJ5NMdTgcg3TVC4MlHAIifeSEuWxiAg9kLWTD8qqnTH+Abr07iC5/qBSBqdWJZdA4Alv5OMtPiAFT1b6azwLR/r6ucXAIA1IzqYYASIhGbqcdiw+sMmuukmxApALzZUsmsEhcAA5lL2F2fwa9+bNrw7/82nbLEUQBKPXEsiYTpz3AGj+8tBmDWuEpSg6afC51dtIaKWGh/w4zB1LNwx/0A3HCWD/uBUaY/Aj20ZUwAYNLIVmI2p7nG9MkksJDv6gfgkGMOca/pw0kcJKO7HoCCoJ/6sjMBCHuyGEwtpGxwDwD3dZxFihsALqzYBbtM//kq5lJu7TYvkEeP07Q/n07Ks46Q0bYXgP2jVjK+cACA+p50rMd+9emx+umLZJv+c/bSO+IhzW3GYF7kZfoSowEIebLJdZr272sbRcfcywBYxBF2BGYC0NFno7k1xPm5Jm57HFmkDHWasU3E6S6ZDsDs4Td4qmuZuRbP84RSsjhKJQCTO57Dbr8YgF0deVzo2Q6As72ehnRz/tTUo/QGx5u+zJqI2xHjrNBjAAxGK6kszjXtGclh14jpj7l5h0lgxvNgRxpXD/0MgG3VN0JXkN7sanNOtIDKyGEAOp1luCxmPk7OPoq1z4z5cE45BbFW6uNVANQcXkd2yTgAWudfRUpsGICS/c9TV/pZU27WdIbjaWYsspcQijn4g3R3lBlhE1uWcIL6okXmuO58qnPMOK/3XcyKsXXs7jbX4xt7LbNsPQAc7smmOsfEsL9yBn68AIzLaCWSMPX0hDIodqRgj5q50mkfy+gMs2+MxNJxW811PrU7k7mFPgBc7jh+q5nbLkuY/kAGE1LMeK6Y58FhiRy/hmhqJgA7088kyzloHncUMa+wjlZruRmr7iyWTjfz2BqLkuIy56fYgqRmmnalxgfBYoJzftZenLaJTMhqAqBuqIhoSgUAhZ42xsbNOI3PjZG5/00A2ictZ2TiPFZWm3Yn6KZnxPRHbsoQ9f1Zps+daQxFzPpw+bQjbO01Y1meOUhX2sTjc2LzIQ/V40ydGW8+CmPM/O6IFzM6tN/0pbuCYMyFx2LWWP9IgoXVZmzeDJxHtdW0n3iceMKsW1ZLjPOdz5o2Djmo2ryBluW3AJAW85GZYvojhJu0Y3384sii4/Hg7ahnXHEhALZt9cQKp5PqMGM4bMtke2cpAHneEPnTlwBgj4xQlmLWvTd6JjE5r4P05x8AYGD530LY1Jky0E6qWUapKWknhmlzUdogR8ZeaNrIIONLRsgaaQegOa+G3FArAC9YVrK4uvv4tRRmFgAwtXiIA5azyUz4AHB3HGFlzWTTNiLkWE2feXJGeGSLubaumnlEjs2VpnEraDti41DlUjOGxYOMCpp4spCgrteMeTCzlkjAtHmSYz9tcbM+15bux5qIYYtHAXgl83IWdZsxyPEc5ahlIQCllibWDX3qWK9HKRw4SGvGRAAmDm/j8WHTn7aMCJXpZg4tqdxFr92sYR3RAkrjzQB8peB3bE8/n7aRPNMHhd28UZcPwEh4HMsyzB7bUTyTKZix2dRWwVlnxLD2jwAQmzqboQwz77OcgxTlmMEZzCjjgbfM85kZdiaOMeOf5hjhUP5i2rvMhjHn7fuZMvUOAFJtwzisZt7F4hm43t4AQH/xEiiCrM4DAIwttNNvNTE0zdtKRzDHtLNwKYGYqX9z+koWbPkXc/7CS+lwjyZeae4/KrqsBD0zTN8+90vazjWxne4OE7Sb+RhJOFn3qumXTy+8loyeBGVRsxdGLvosrx8160ZF7gi5KWZN+acfDbD6a+Y6UxJ+bIkofsux+49oH5/O3wjAIedU3hqcCoDXHWW+fzcAu7OWUeQwa1hfWgp2S4wIJr58wRQmjrxt+iYtgzSnqSfDY6PYbcZ565QvM+vgfYSLzXpxOK2GSft/Zfp2Ygabes1eCLCowMynPcPVFMRM+z22ESLOVEJpJr5Lg4eYXm7Gye/MYG+nmSu+DC979vgA6Bw7lnLM3HJH/NRmbsExaPYYy753GJ53NgCNeXNZZDli+ubTVxOJmzkQwcmSGQlyw2ZfzrLaabFUAPDr2DQq+0x7Y3Hw5plyf/7mWD61wKxn49M66AhkkxMwMb20OEALZpwjMQcV7mNrUqCLaXGzHrwYWsy8rH0MYOKmJ7OK7k6z3o7LPUK/04y7JZYgmDDxlPo3tzG61/R/R/l8pnW8QCQlw7zmLqMo31xPDBsOi5nDFYPbOZQ2B4AtDVmsqDqEw2/26YNl51JFAwA57lwwt6NYEjEKveaYpuECKtLM3hkLWnBZguRmmvufag7gc5nxyOOTSQn2+1i9enVSyklGki4iIiIiIiKfbPqIuIiIiIiIiEgSKMEWERERERERSQIl2CIiIiIiIiJJoARbREREREREJAmUYIuIiIiIiIgkgRJsERERERERkSRQgi0iIiIiIiKSBEqwRURERERERJJACbaIiIiIiIhIEijBFhEREREREUkCJdgiIiIiIiJyWkskEvT29hKPxz9SOUqwRURERERE5LTw9NNPc9NNN3H99dfzwgsvAPDwww8zZ84cFi5cyNy5c/nlL3950uXbk9VQERERERERkb+E2tra9319w4YN73rumWee4Wtf+xozZswgMzOTW2+9lW9+85vceeedXHPNNUyaNImtW7dy1113UVlZybJly064XUqw/wLcbjerVq36uJshH8KaNWs+7iaIiIiIiMifwd13383ll1/OnXfeCcBjjz3Gt771LW644Qa+/vWvA3DhhReSSCS4++67lWB/Uq1evfrjboKIiIiIiMgp473eof4gDQ0Nf/TGZ21tLf/4j//IokWL/ui4ZcuWcccdd5xUu/QdbBERERERETnlJRIJEonE8Z89Hg8AXq/3j47zeDwMDQ2dVB1KsEVEREREROSUV1xcTH19/fGfbTYb99xzD6NHj/6j41pbW8nNzT2pOvQRcRERERERETnlLVq06I8SbID58+e/67j169czffr0k6pDCbaIiIiIiIic8m677bYPddytt9560u9g6yPiIiIiIiIicloJBAJ/8rXKykpCodBJlasEW0RERERERE4La9euZfbs2dTU1LB06VLWrVv3rmP27dv3gf9n+09Rgi0iIiIiIiKnvIcffpi1a9eyYsUK7rjjDmpqali9ejU33XQTw8PDSalDCbaIiIiIiIic8tatW8fnPvc57rzzTq666iruuusu7rvvPg4fPsy1115Ld3f3R65DCbaIiIiIiIic8pqamliwYMEfPTdr1iweeughYrEYV1xxxbv+yviJUoItIiIiIiIip7z09HT6+vre9XxhYSEPPPAABQUFXH311Wzfvv2k61CCLSIiIiIiIqe8SZMm8eKLL77na16vl3vvvZfp06fzgx/84KTrUIItIiIiIiIip7wLLriA1tZWfD7fe77ucrlYu3Ytl112GUVFRSdVh/0jtE9ERERERETkr8KKFStYsWLF+x5js9n47ne/e9J1WBKJROKkzz4Jq1atYs2aNSf8msjHra6+nn39owBo67VzXcrvAOgsnsHW7koAzsjaQ0af+cMIA9mVOKIjROwpALzpm8xZrtcAiDg9dDtLASjfsJaG2r8FoHskgyp3AwCWRJwj4TEc6TTnX5n2JBF3OgB7HbNoGzDPj83tZTDsAcBujfP4RvN7s79ffBBbPErXsXqKgvWkdh4BYHvxxVRyGICd4SnMjZl2HUqdxaTXfwTVkwF4Lf1iJqbWAeAjh0N9uQCMhKycm7P5eN9si8wA4NlXQ/zz4i381+Elps01DRQdeRWA53Nu5OxD/wpA49zr+d2mAgD+IetuXir8DGd23wfA60XX8odVyWpNYLOYH2IJC3NCrwCwJ3UBXkcAgIaBXMZmtlM/WAhAzUM38et5vwLgM/u+zMu1PwNgfHYHB/tMnWekbSdqcwKQNtxOc8ZUvAkfAGGrGxsxc50JD+GEA4Dd7Xlc1vNjAH6T9RWmlfQyEDL9Pr/1fl4uuMH0U8BOde6xsuJ2UuwhAMa1vUhT6SIAQnEnrx7IZXaV+XcQ6Q4/Fsx1Pr4tn2tnHjL9FB51/Po7hz3MydyHK+IHwDPYzj9uPhOAG1dGaR3MAGCWdy/bhicCcNbgb+ksmw2AHy8OS4TcwFEAht05HAyYuPWNODjUaOqZPSHGwsHHAThSuIQsenijewIAF7fcxYEZ5jpTrQHKDr8AwKExF1ISMrG11zKNWX3PABDMLCJqc+MMDQLwbGAZ8wpNPK0/XMWSqjYA4lgZjKQCMLP+fp7J+7w5P2xhXlE9BV27AXg7bTnTElvN9e9/iydG3QqA1x0jGDEfyIrELIzN7SWBxZSdsJJj7QHgpaNj+VT2KwC4e4/y34HrAHA5LcdjbsooP4WuLkIJNwAZ8V7eGTTX39Bu5eacRwFoL5iBlTgA9niY1FA/78RqAChM9VESMGP4WmgBNqspfJ57G3viUwGo8LSSM2Dmem/GaDZ3jqEs04xtOGajIKUfgPKuTTxjvRgAmxXix9o5ErKyoNSsNZ7wIFmH3uDQhMsAyEl08uOXqgC4s+xXfLvVjNm86U7OiT1pyhroYWPRdRSm+gB4bEsON8/YA4AzGiC1dT8AL+dfz+j0TgAsJHijqQyA3PQYi+0beSViYroqq5u+kBeAIncPT+w2a+XFUxvoCpl1o9DZxUA8g2jcrFG/e9XNF2tbTXm9B9mbvhCA4bCboaA5Ji8tSIHLjF/rSD7z2n8LcTM//SUTSK0335HbPe4antpsYuiWWdt5w2/GYonzdfwpOWR37DPjkX4x2e4RAPa2ZzCl2PSzL+Rh2yEz16+Zuo+XO8wa+Kn936R/2VWkD7cDEPDkknlkEwCDlbNJ6zZx/7znMpa+9BXT/ku+SHPMXH8kbiMQcZB5rM5g1Mncrt8DsCnvUqZYdhzv27jFZsYmFuY/ts/lovlmfXj9YBZfsP63Ob9kPGFnGgAt9tFUDb9jAiIRZ1eK6T+bJca0nud4zHIpAGdlb6PTacatrj/3eKzXZB3CETPr0+7QRHwBOxd2/xcAb43+LHVdZo9pbY9QXmr65srYfcTqTWw/Mu57DJqQ5YbsJ+nMm0RGwMSKK9BHc7bZF4JxFwWYuT5kyyJybE0d3bOZ3txxAIQtbvIHDrPbPR+AQlcXGcEuAJ7snMuYArPepzsDlAcPAGCNRXlmeAkr08weE3F6aLJVA1AV2E5d6nQAmnyZ1GSb/a4zWojNauLHaY1QEG4mJWDii3iMlhxzzuj6F9hUdIUZz7CDcRkmTgH295dSlmHiJhRzMBw2a0V/wMGyNLMvbgzMYUa2WevcUT+uY2tgxJGKLR4m9eCx46r+hikuE5sdtlKq+kxsWWIR9mab/787tf63RHOKeCp2PgAX7v827ctuBGB7dwULMs289Q40059l1vRX2iZQlT8EwMMvW/nWGVtx+ntNX6fmYIuFTZvTRxGymHHOCnXgPWTq3zX+Bl7caeLs5inb6XUVcaDX7LGLPZtJbdwJQPOElaSHTf9l1G8hmlMMwPPW85mfvou9YbN2Vqa2kDtg1qvh1AKytj0NwK9ybsdmwp6Vo3ZzKGTWLZc9Sr6zhyf2VABwzdh32DZi1k5/2MbM/EYADg+W0jds4unsrLcJOr1kd5v4aMhfQIrVxE1J3Wu8ln81APNir+LsNvvg/sqLONidA8D5tqdYz3lYzdaBxxllmtuMTcCZTvRY3JZ1vE3CYg7qzx1LnyUfgKJwA28EZjEh28R6zkgLQyl5AOwdqKA83fR/TqyTPps55436Qq7If4XG1EkA2C0xBsKm33sDKYRjpp7puU282TIagLSUOCs7zDxtmHQxuaFWBt1mjfX+8k7euOiXADjsCTbtMnvU2bOjhKJmTT3j7TsJzTuXB5rPMGVXBEh1mPVp29FcrulcDcCzVbex1P0GAAcc05nZbNatV/KvYVLqEYYsmWY8o6lkOgYAcCaCFO5ZD8DRKRdTMGDWigbvNMZ2vMJwjrkGnyufrpDp94nRdzjgmA5Aqb2FtpiJoa316dyQ/xwAg+klpAR9BNxZAOwaHseSLd8BIPUL3+eTSB8RFxEREREREUkCJdgiIiIiIiIiSaAEW0RERERERCQJlGCLiIiIiIiIJIESbBEREREREZEkUIItIiIiIiIikgRKsEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAiXYIiIiIiIiIklg/7gbICIiIiIiIvJx6enpYf/+/QBMnDiRnJycky5LCbaIiIiIiIic8n70ox9xzTXXUFBQAEA8Hudf/uVfePDBB4nFYiQSCex2O9dddx233XbbSdWhBFtEREREREROeb/4xS8466yzjifY//u//8sDDzzAjTfeyIoVKwB4+umn+dWvfkVpaSnXXHPNCdehBFtERERERET+qtTW1r7v6xs2bHjXc4lE4o9+fuihh7j66qv5h3/4h+PPTZkyhUAgwEMPPaQEO9luv/12gsHgx90M+Qtas2bNx90EERERERH5C2hra+PMM8981/O1tbU8/vjjJ1WmEuz3EQwGlXCJiIiIiIh8wrzXO9QfxvDwMD6fD4CsrKx3vav9B1bryf3DLSXYIiIiIiIiclq46aabjj9OJBLs3LmTM84444+OOXTo0PHvaZ8oJdgiIiIiIiJyylu9evW7nsvLy3vXc5s2bWLx4sUnVYcSbBERERERETnlXXLJJR/quF/+8pcnXcfJfbBcRERERERERP6IEmwRERERERGRJFCCLSIiIiIiIpIESrBFREREREREkkAJtoiIiIiIiEgSKMEWERERERERSYK/+L/pcrvdrFq16j1f6+rq+gu3RkRERERERCQ5/uIJ9nv9c+8/+FOJt4iIiIiIiMgnnT4iLiIiIiIiIpIEf/F3sD8Ot99+O8Fg8ITP00fW5f/K6z+M11UEwPkV+/nBWxcBsDJvhE3vjACwdGmQHRlnATCj61m256ygMnEEgKGAlY7cKgASWCgaPgzA9kXfIM/SB8BY1xEePTwZgFmVgwwGnSwftQ+ADutk9vvKAOjutXNO6R4AXm6fzLJC89hnzeWztREAhsmi+MX/4ZG0fwbgizNaIGTmwVDYjd0WMucE7OzJmAfAc5ucTMnMYnfBOQBE/VbscVNeqmMYtyMbgCXerbzhnwWAyx4nw23KXTI/lVbvBM6YZH72xTOpL74GAGskQfNc83hvTxHnz+4H4NfNn+fMjDoi8RIA8lMGONCTC8DkvA5yw20ArO+ehc3uB6Agq5ucgQYAfrNzESULPfzuCVPe/Cs+y0L3IAAptimEoxYzfuEWRjLdAASs6eS37wSgpXgu5T1biTlSAHjYdxbTSs14FNDGkC0LALczTtu08wGYHu9hwtFn2F58MQBxTzqZbhMD86zb6beXmmvp2cdO7zIABgrGkxYfAMBiTefzA6sJj8wx8RC0EnrwHgBW3vwjAlYvAHZrnEkjmwFoCtcSt9jodpkYOOKYxZfO7wQgnHBw/4MtAIz9UjYuexyAurJaCkJNpk5Xgjc7xmKzmraV2YeZ7jB9sMs6lSVTYwDM2PgvtJ11MwAbD+WTnppPVZ7pz2fsX2U0pm86Q7kczr8BgFL6cYTN2BRndNFQtBCAjHgvbfEy8tK7AVjgPURfPMeMjRsqd/4WgAdzVuFxmTZnjb+A6LGl95zMTXQzisGsCgDSLCE8O94CYNuUvyFlxJxT5u3FYTFxmsDC794u5Oq5RwE46i+iL15u2pYdpstbCcCo7kYuG7sbAE+gh870anNM7y6GfvFrBr/0MwAGrdn0DNrMeGYnaMhfAMD+7nzy0swcqnYeodNdgXUkAYDTEsYeNXNgsetNXg2ac8IOD/lWH2DmRlGHiWGvM42yzEK6hk0MbtoRZsLYYgBGipdSEDGxNSPwKvf3rwRg+/Y+lnza1L9jZBLzdv83v+//HAB/P/MQ3572HAD/2fUFPlPbCkDjUD62XjOW3WMWkBUPULnhJwB8bcI0ov4MAF63nEnh6HEALNv9M4bGm/Y32MZzQYGJx43+2ZCIk5dq2lb5+n/TPO0bABwJF3POZDOI2UPNDKSYcjsjeYRjdsIxc+tRXOTEHRkGwO73MZLiNNccsVFrfwmA37ScTajI9H8sbuVf2q7mGxk/ByBqc9E/9gwAJnW9QOVMs4bYwmHOCT9m6syexoHBcmblBkx7rCM4bWEArmz5HtHUGQAczFjA1DFpAPhtGaS5zXzoPfNaWqMlOFJN2QPhFMaPNe1PCfo4UHQ2AAui27GdacbGZ82lOrzXtNHups0xiokHHgSgfdJyYh7TH257hLXbzDp66bwe3FbTl88fqmTBtDApVhNDtRM6ifSPMue0HaJvXC0Amfhw9rcD8ErOlcSDZq2b7D3CUG4lB7dEAbjY0sRDAzWmnsodvNg9HYD8+jfZXHoVAIt6f8uekguoy/sUAM5wjIQJZ4oLHcwtMzEU70il/cybAMgZiJBrlipGXAWMxD20WKYBMDqriWDcBUAg6sZuMX2eE2mlwTYegCeiFzDfUgdA60g+I94UDjWnAjAt/SAvxM0+dKXrYeLDJjbidicHUs1+FbHZcNgT9KabvrEkEhTFzDp42DOTnc2ZAKSlHLsQoMnnZX622VOfqpvMpSX19GaaNcGWiLK3x+zx/aWfxpEwMXCG7W0OhE2cdA6nMjW7keL9z5v2ZOTy9c0mBhbOdxKxpxy7/j5aw2YOV3OAhNXEcNpbTxCbMpfBCYsAKHL24+02a/RTgRmMPbbHYbEyYfB1ALqqzbEDDWZ8dyz4OlP63gBgTHY6fquJp2zfNnxZswGoKWmn2H8IgNsXO0nErezOrj3eD2l2E2s9wQx+/7wZm5nTR3HORA8AWTYf+bmmXM9gG+FsNysaf2P6YOYF9E0wsf5WSzmXWsya8L+WL3BRzn4zzuEgMaudDJep5+hIMe3uAgBSLCH65nwGgHMsdbzdafrfb8tg9kZzv3J7+BtceU4eReZWAJ8znyX9T5px6uvkWevnAXh9a5Cz5pt+ed0/i3MGHudwnumv8e/8ih9bvwrAp2bYmBHaAUAiZqGvwvRTum2Q4RFTyZu5y5mQ2snBPtPOKZ6DNMZM2yb3vs6DA+aaL88+SG/GaADcUT/DMTPmYYeHxnYrtZh95e6OFdjtpm1zK/sZ0/4aAHvyzqFn0PRzfmYM51A30RSzpuzqyKM6/9j9iyPKuCyzjnaFc3nrbR8A31uxj293fBaAgoSbK176Kjk3fgGAfdf+lHO3/RCA7rmXcFbRmwA0upfTPJwHwP7FX2OsfyuFOWZeHGhPZc4oE3fluSEimTMBWOzazOaImWv2RJxwjonnBfFXiQ/bSKSZaysN7OVo+hQAMsNdhMvM3pEbOErCaq6roT+bZ9s/xQ35Zl0sfeV/OTj9DtOHgQ7Si0z9h0dGU+4xa9qEMhd9Kaaf/XgJp6bQNHLsPjF1mMDCCwEwK8Ynz2mRYAeDQdasWXPC5+kj6yIiIiIiIvJh6SPiIiIiIiIiIkmgBFtEREREREQkCZRgi4iIiIiIiCSBEmwRERERERGRJFCCLSIiIiIiIpIESrBFREREREREkkAJtoiIiIiIiEgSKMEWERERERERSQIl2CIiIiIiIiJJoARbREREREREJAmUYIuIiIiIiIgkgRJsEREREREROS3U19fzve99j7/7u7/jJz/5CZ2dne86pq6ujuuvv/6kyrd/1AaKiIiIiIiI/CXV1ta+7+sbNmx413OHDh3iiiuuwOl0Ul5ezsaNG7n33nv59re/zUUXXXT8uOHhYbZs2XJS7VKC/T7cbjerVq36uJshf0Fr1qz5uJsgIiIiIiJ/Bj/60Y+YNGkS//M//4PH42FoaIh//dd/5R//8R9pbm7mlltu+ch1KMF+H6tXr/64myAiIiIiIiL/j/d6h/qD7N69m+9973t4PB4AvF4v3/3ud5k+fTrf/va36erq4jvf+c5HapcSbBERERERETnlhcNhXC7Xu57/9Kc/TW5uLn//939PT08PN9xww0nXoT9yJiIiIiIiIqe8iooKtm7d+p6vLVmyhHvuuYdt27Zx2223nXQdSrBFRERERETklLd48WJ+97vfEQqF3vP16dOnc//995NIJE66Dn1EXERERERERE55n/nMZzj33HOJx+N/8piqqioeffRRjhw5clJ16B1sEREREREROeWlpaVRXV1NSkoKgUDgTx7n9XopLS09qTqUYIuIiIiIiMhpYe3atcyePZuamhqWLl3KunXr3nXMvn37PvD/bP8pSrBFRERERETklPfwww+zdu1aVqxYwR133EFNTQ2rV6/mpptuYnh4OCl1KMEWERERERGRU966dev43Oc+x5133slVV13FXXfdxX333cfhw4e59tpr6e7u/sh1KMEWERERERGRU15TUxMLFiz4o+dmzZrFQw89RCwW44orrqC+vv4j1aEEW0RERERERE556enp9PX1vev5wsJCHnjgAQoKCrj66qvZvn37SdehBFtEREREREROeZMmTeLFF198z9e8Xi/33nsv06dP5wc/+MFJ16EEW0RERERERE55F1xwAa2trfh8vvd83eVysXbtWi677DKKiopOqg77R2ifiIiIiIiIyF+FFStWsGLFivc9xmaz8d3vfvek67AkEonESZ+dZKtWrWLNmjUA3H777QSDwaSU29XVxf3335+UsuT01XZwF9ZEDIBdoUkUp5rvb/jCXma8sRqAyOyz2GqdD0BpajcVO37H+lF/B0BN5kGiVicAzcEiSt0dx8vuieQCUNebzvyCwwCkj3TR6ykjlHABkMYgewYrARgM2FiWuxOAjDcf5a6UfwLgutn1DCYyAdjXnUdl9iCd/lQAmjptrBxn/mjDa81jmFvWCsAzu4s5Y/ygKcsxzOgj64k2HDENm7GAgawKAIL2VLZ1mscXBn4NI34Ani/8PGfGngHgn7Ys4/sp/4pv4aUAvOOfSLorBIDbFqXY2gxAyO5he7cpa2x2D+VDu3gtsRSAhfY3CDvTABhxeGkJlwBQ7miiH9NPYxue5u2SywEIRBwsiL3M4/7lAFwau58DpeZxtqWXtoj57aMvmMI0z37z/M7n+U/X1wD4YtbvSDicNOTNAyA32s7DDTMAuKBqP691jAdgWlEXDksEgILhOgZTC/HjNW2IpdAzYvo5wxWkEjOGUZuTuogZs/ruVOaXmevvCWUxo+cZnrBfZvrGEecMz1YAft88l6oi02fZKX5yrD2mL/uqSHNF6fCZGLq841/ZOP4rAIzz1NMYHgXAnF0/497s2wBYMebg8ZitC42mzNN+vN8rMgfw2s2/o4glbDQO5gGwbOAhHuQaAM7P30zY4cFybJvY0DkVh908rik4itViyrYkEmQNtwAQdGXQZjVtcVtD+KMe3jyUbvotB8bkmFjb1ZrBlWlPAhB3uLm/62wAXE64LH09ANvcSxjjasAVCQDwpn8GGe4wADNim2lJM2PjsoTwRTMAmPTGGl6cegfntP4XANvHXk+hswuA/36plC+cadpZHyilzGOebw7kk+Uy8Wy3xMhJdPIHzugI7mHzF0V/3Xcey6vrAOiN5vBOUyYAlxa/ya7EDCJxGwCZrhEcNhMrrUOZNHWa32WfNbaZ4md+AsDBc75BPGE+RNYxnEY0bmFCTjsAeSNH6U8pBqBhuIiFg48DMJhXRa+9EIBwwsGEw48AECidQNiZxm0PmFj/5g1hRtW/ZK6tchldoRwAZnY8yqPOawHI9UY42uNkZekuU0+sknDMtN9igYIUs76lJPzH++Ll5rFMKe4312j34Y75ORwaA0AoZuP1Hea4aePtrOApAF5zrmBR9HkAYo4UrIkYjd5p5mesjOt4GQBrdxvPlP6t6XN7nHnOLQCs3TGLC+aYmMmnnYyBo7yQOPf4cYt4BYARTw5Bu5mDzliQDotZN559J5OLZnVT2WqOayxZzNZW07dnF+xgq38yAEvYwK6UhQDsbUnlOteDpp/T84k53Lj8vQDE7U6cR8zau3/mZ3l5n+nbwhzI85rYXNT1GyJZhcf7bXvKIqZGzPW4fO0M55s+63GVUDdQAMAsz27iFtP/dz5Wxu2f7sITHgAg6EjDZzH1ZP3HLfB33zZj0N/Am26z1kVjFhaHnwXgaO4s/DEPkzrMPPLnVdLlLAPAYYkQTpg1pCDURNRm9pd7dk7hM9N2s2lwCgCRmAWLxbT/vAPfpW7hFwEYDKeS4/IBUPH2/dTPvs5c/0g9hxxTGAylADDdsYv9iYkADIWcuO1mrch0BQjFHOaYgRexxM3z27OWE4nbqO8y559XtI0W22gAqoe3EbOZNoedaYTt5piGcDmxuPV4Ox/dEMWdYubaP2f8lO1TTZsrOUx65yEAEhYLb2ReAsCmfTbOnTmM22bW28N9eVgw69tZrKczx7S/J5LNr80Wxx29X6Hjxn8lFDftmbL3V/wkYeK2doqP/Z1ZAGzb6eczy826lUUPuZvMXA1NXoDL184vR64GYO6YAZp8Zn2ckddIRsCsPX0pJRwaMHE6M3UfWe17eSXD7KsdPgeXux8DoDtvIhvbxgJwafw3tI2aC0D9UAlNPWZsS3NMXNY4zPdJe9yllPj2APAqtSxNmI/K+tMKeCdg5oM/bCMvzfRLmiPI5KOPg9/Mw0OTrsRrNY/9iTRGd28C4KuvLubH439txmbKpyl/5b9pWXqziYFYGr6QB4AUewSnNQrAQDiFBT0PA/C462rKMs16s789jbPKDx0fjyMj5cyMbwZgh3UOsWNrZ7GnlwN9Zq6Ny+6kMNhAm9vMr8quN7ANmfXqP4OfZVaVGY94wkosYYJmgvMQP3nN9N+SWTZ++3gfay45YNrZvA8cZpx/47wJu5meXJj2Iq42s8dvq7yOcfHd5lo8BbzWVMnsMnNvZyFBnS8fgDlpu3BERwA46hpLXsIc47Pm0u7PomPAjNW0oi7imLaFY07KE+Ze7FXfDObnmnZt6h3PtDyzjzUNF7Cw7/c0jloKQHa4gzeGzP1LkXcYm8X03+RN/wGjx5mxKVlCfzidqSOvA2AL+Xnba5LNKZYddKeY/XtbWzHTisweGU3YyMU87icXtzXInt5SAPLTRlj3hImVs5dlstxq1h1fZgUZQ+Y+0xoJEvZkYY2Zce/2jiaG6dDsUAdhu9vU86/fpPvrvwKgJ5DKcMgcMz63m+JgHQdtZn2qju/De9jEg/tic4/9SfOJfQc7GAweT7Y/qlWrViWlHBEREREREZE/Rd/BFhEREREREUkCJdgiIiIiIiIiSaAEW0RERERERCQJlGCLiIiIiIiIJIESbBEREREREZEkUIItIiIiIiIikgRKsEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAiXYIiIiIiIiIkmgBFtEREREREQkCZRgi4iIiIiIyGmhoaGBcDj8R8/t3LmTL3zhCyxcuJCFCxfypS99iT179pxU+fZkNFJERERERETkL6W2tvZ9X9+wYcN7Pr9y5Up++9vfMnXqVAC2bt3KjTfeSH5+Pueccw4Ar7zyCldffTUPPPAAkydPPqF2nfYJ9u23304wGPy4myGfEGvWrPm4myAiIiIiIn8miUTij37+8Y9/zIQJE7jvvvtISUkB4NZbb+Waa67hZz/7GT//+c9PqPzTPsEOBoNKqkRERERERP6K/Kl3qE/Uzp07+eEPf3g8uQbweDx85jOf4fvf//4Jl6fvYIuIiIiIiMhpyWazkZ+f/67nCwoKCAQCJ1zeaf8OtoiIiIiIiJw+fvjDH+L1egGwWq00NTVRU1PzR8e0traSmZl5wmUrwRYREREREZHTwuzZswHw+/0ATJw4kba2tncd98ILLzB+/PgTLl8JtoiIiIiIiJwW1q1b96GOu+mmm97zo+MfRN/BFhEREREREfk/Kisr6ezsPOHzlGCLiIiIiIiI/B9btmzh+uuvP+HzlGCLiIiIiIiIJIG+gy0iIiIiIiKnhQsuuOBDHfeHP4J2opRgi4iIiIiIyGmhvr6eqqoqJk6c+L7Htba20t7efsLlK8EWERERERGR00J1dTXl5eWsXr36fY977rnn2LJlywmXr+9gi4iIiIiIyGlh6tSp7Nq160Mdm0gkTrh8vYMtIiIiIiIip4Wbb76ZJUuWfOBxS5YsYcOGDSdcviVxMmn5n8mqVatYs2bNux5/VLfffjvBYPA9X+vq6uL+++9PSj1yatt7pJ3yHvMxEXtHI/WTLwXg6HAuiwcfAyCYWcR++wwA3PYwpbEGRhxe85rFgz/mAaB5IAOvOwJApaeFA4PlAMyzvsnTg4sBuMT2KG+kns8sy2YAulMrSI0NmDpj5ZTZmwGoD1cQjZsPo4x3HcYWjx5v8yt90xmb2wfAnvYc5pc2AVDyyi95auJ3ADiPJ+jKnwxAfucu3vauYEb0LQASVhuuwS4A+gvGk9W+F4BdBSsYDKUAMNl9gIDdXOOOnnJq3RtxBAcBOJI9j3SreZwa9pE62GbOT1/KC9vcACydEWG271lirlQAXoyfzbn+B80FtDaxZcZXADjYnkpJtumz5h4HLqc5ZHFZHXl9B3lsZCUAC0rruee1UlP2zAQZrhEAhsMu3HZzfgILXcNmLM71reOp9OtJd5t+6xlycE7mJgA2hWczNsO0uezN+4hMnA2ANRLiQNYiElgAsFlilMQaATicGM9QyDRuYWwDtp1vAtC7+Eqao2UAlNsa6aCE8b2vAfDfXReRnWHKqsr3k+YIADC2bQONJSYeLLfdQPyH97GttejYcUOU2ltMfw5VU+PZY/rZ30l7pvlOUcFQHZ3eMWZsH/wXUqZNZU/1lQB0+dOYmnYQgPrIaHJdJrYqDz7BgbGfBmD89l8RqppOxGnG5qWhuczLNeeErW46Q3mmLZaDOCKmzZui81g6/CgA7+Sex8zuJ2kuPQOAp3aXUmxOIZGAiQU9AGw8lMtNab8F4LmUyyhJHzb1B97mmeBZx2N448FsxpTEABid3k2bPxuANGeIP/ivB/z8041hNreNAmBc/gCbjmQAsHJCA75opjk/tI/tzAIgFLFRfWycfdEMQjEHHrvZMyY2PEYwfzQA+92z2FpvYn10UYylkWcBeDR0ATv3BrhtiRmDx9rmcMFz1wKQWbuUX1lvBuDCUTtwRcy19XhGcaC/BICyjH481hGyQ+Z7XvbICK2p4wCo6Hmb2MYXAIiuuIqelGMxtPtRuiedBUDOm7/nmfHfwmWPA1A7/Hv6isycDtk9BONmrhaN1HHIMcW0yzHEc/tKmFQeBiDDNcLE3pcAaC2YRXfI9O3kZ77JvvO+a45xDDMQSQNgIOSmONVHcagOgJeH5zI6y8TQ5KbH2Fxyhak/asdmNe3KcQ9xpC+H6blmHcoIdTPkygGgOVjE5MQOAA5YpzKj1/TtL3yX8oXAvwHQWXMRlkQcb8CsSTusc9i038y1s6cN8up+M7ZLJ/YzqcHEYOeYhQyRQRpmHcrpP8ImZ60Zw7Q2+qNZ/EFZogGAsM2NJ+QD4JBtMjMP30e4dCwAb1qXMD9u5q19y8s8MOb7AFwXWMvmMZ8BIM/lO742dIxkEYtbqbFtBSDo9BK2mfHwxTMpjpq+aLZWsrnetOXaghdpSZ9EMO4CIBa3MS5g9p7m9MlUtm8E4O2s85kZft2U5S2lMWxifk7Hwzzqvo7lXvPaSyNn8Ic7vel5zdiJHK8/GDX9V2JvpSVaSordzCWHJcrWlkIAWjtiVJaZPSYnLULmsTXVYYuQbekFoDuWT66tm8xhM48OuGfQMmDmyuycwzhiptxH6qYQDJrGfKFsPQ6fGcutJZcx68i9NE86H4Dc4UZSDpk+2zrpi9itZn0ORp3UBF819fe08ELejczwHgBgxOalPZh7fDyrbYcB8PqOcjB7IQCFtNJJMQAWSwKPdYTXGsycuta6jk15Zl8vSOmncqdZk54t+zuicTOe54/8hp7SGRwKVgLgtkXJcfkA8Mc8jOt/A4BQag59KWZ+RxIOXNb//x40GE+hZGg/AM7hXvbknQPA3vYMVhZuM8c40sjpObY+58xjT2ceF7ifAyBmczKYZvaBEWsaeQETQ562gxwec/6x8YvQFTTxlOUaJjveRb/VLL4VvVvYn7nIHGeN0Dxojjv70F34Zpi2hG1ufJi5GY47KI8dpsNp7lMKws2kt+w215aZz4EMs76XJRqoT1SZvo/vo9lRxZ52U8b52a/TmlINQGX3W2zxLjdttocpsHeYxyEfz/XNAeBix5MczF5IjtXsEc5YkLjFxGCfJZ+chPm/xNktO46PWYojjD/iYn7fY8f7eiTHzIk29xgsmLjzWPxs7jDjZ7HAGXlmLAJWL22B3OP3U6GYjcWv3ApA70W3cHDIlFXj3EHAafaU5nApXcNmPp/peIXt9vlMtO8z5TkzsCbMftUWKSLfZa4lFHeTEzFr/fbQFBy2OGNSjprrGWg4vn8/tbuUmWNM3MSxcLTH3DNd1f9jXqz4MgCTMhrxhAcYdJq4T40OsHVokhlbW5ypqQeOjWcKzUETM9muIaIJ2/E+Kok0ELKb+6GMwRa2ukzSmeEKUO0z90J1WXNItZo9vm6oCIctzjTLdgBcgT56s83Y5vYc4EXbeQAcabZw5WTTFxGbm8Kmt9hbYuKzwNpOD/kAlAcPcOTYvuSwRdh21FzLVZ7HaM43e3R/OJ2dR9PJSDNjeEb+AcJW0x9VY0bzSXRavIP9fp+vX7Vq1V+wJSIiIiIiInKq0newRURERERERJJACbaIiIiIiIhIEijBFhEREREREUkCJdgiIiIiIiIiSaAEW0RERERERCQJlGCLiIiIiIiIJIESbBEREREREZEkUIItIiIiIiIikgRKsEVERERERESSQAm2iIiIiIiISBIowRYRERERERFJAiXYIiIiIiIiIse89tpr1NbWntS59iS3RUREREREROTP6oMS4A0bNpx02SMjI7S1tZ3Uuad9gu12u1m1atXH3Qz5hFizZs3H3QQREREREfkzuOeeez7UcQcPHjzpOk77BHv16tUfdxNERERERETkBJzMO9Q//OEPsVgsJBKJDzzWYrGcTLOUYIuIiIiIiMipr6CggGXLlvGd73znfY9bv379SX/KWX/kTERERERERE5506ZNY9euXR943Mm+ew1KsEVEREREROQ0cO6551JWVvaBx1VVVfHlL3/5pOrQR8RFRERERETklLdy5UpWrlz5gceNGTOGW2655aTq0DvYIiIiIiIicloJBAJ/8rVIJHLS/6ZLCbaIiIiIiIicFtauXcvs2bOpqalh6dKlrFu37l3H7Nu37wP/z/afogRbRERERERETnkPP/wwa9euZcWKFdxxxx3U1NSwevVqbrrpJoaHh5NShxJsEREREREROeWtW7eOz33uc9x5551cddVV3HXXXdx3330cPnyYa6+9lu7u7o9chxJsEREREREROeU1NTWxYMGCP3pu1qxZPPTQQ8RiMa644grq6+s/Uh1KsEVEREREROSUl56eTl9f37ueLyws5IEHHqCgoICrr76a7du3n3QdSrBFRERERETklDdp0iRefPHF93zN6/Vy7733Mn36dH7wgx+cdB1KsEVEREREROSUd8EFF9Da2orP53vP110uF2vXruWyyy6jqKjopOqwf4T2iYiIiIiIiPxVWLFiBStWrHjfY2w2G9/97ndPug5LIpFInPTZSbZq1SrWrFnzrscinwSd+7dxMD4egMaeVOaUtgCQO9JMX0oJAFmhDnyuAgB295axcuA+Hku9AYAp+R3U+fIBOHvoQRpHLQXgjcYSro3+EoB9oy/moVdTAfj04iDr30ljXIX5oElppp+j/WkA2G0J5mQfBMBvTSc73AHAlpFpnNVj/pffUMlE+t1FPLuvDIAJoyJ4nUEApva/yHBWOQBhewrbfOMAmJbdQEc4n1xnPwBHAwU4rDEAJiZ2ccg2GYCZdb/GXzENgOt+5OV7/1gMQFm0jrcCNZwZfRqA/VmLOdCZCcD8kga6wzkAvLI7lcWTRwB46IUEq85r5+E91QCMLk6wPPoYAIfyFvPom+kA/GPVk/yw7kIAPB4b48rN0tU3ZONK+0PUFy8G4HBfHmOyegEoCjfQ6qwEINUaIG+oAQBbNIg1HADgrbTzGJXaSd6wee2FwCLy0kIAzPU9xd78swGY1Pk8P++/DICVk1vxRbxMDLwNwD9tnMfqTLNeWZ0uEoWlAOwpPo9QzAHAxj1uKkrMWC7O20PO/lcJl5l+jzhTiVmdAPxsy1QuXeADwGJJEImb34NObHwChny8OPpvAajK6CAn1GbqiU1h/qGfA/DG2C9xxtF7AWgafx4WTD91h7LpGk7B7YgDMMrbw+j2181rRVPJP2quxdLZRvucTwPwclMVE4oGmdH8MADvlF3KGA4BELU5aY6PAiAYdfLYyyZObl3eSMBmxqw5kE+Gc4RxQ5tN2dEwL1jPA6Am6xC95AGQZvUTTpjr91j8FO008UMsCpk57Cu/AICSWCNBh5kDv9tVzc2jXzExkF7OcNxr2hJzkeEYJCPSA4AjOsJR11jTH74sxmWbuVL23E+xTppuxmygF3/lDAD6U4oo7N5NODXbnOMez7iuVwEIZBTT5hoDQF1/DmUZgwBsqstkXEmYolQzb/b35OMbNmNdnhdmlsVcvy0awtVh/nDKwOgaXuiZCcCl7XfxRNlXmZN3BIC2SBHb6s11lubFj9fzyOseLl1k/oVIXzCNQo+p70BvPlXZvRwdMG0u8g4xZe+vAHi29Baqsk1fPLYlh2vnNJquxUbuUBP20JCpM3caKXFTdkO4nDy3z9QTyqCm5XcA9FbMIqt9LwDb885njPUwjqiZx/ut09h91Kxdcyt7cVij5vqfWI11wZlmzEYu5JKsVxhKNeugOzzE5lANAPG4hbP8pp7XMj7FDNdu/uCtYTNOozJ8WC1xfv6ImRML5mWxIs/EbcjuwREz89bvzCT38Z+a55dfRYtzDImEBYAJLc/QWG7aU9q3k0MZ8wCwkGAokgLA0V4P5+aYMfM27+aNkmuJxc14VqcdJS1o1hdnaIjXEksB8DijNPe6TbnZIcal1AHwVN1ErFa4oHwXAG8PTmLfsb+ds3Rq4Pg17m72Upxj+qwobYhtTVmcPcaUUdC1m9Z8EyvNgXxefce05eYFdRwImHic4trHgcixdZxtPNG7kIgpjnFFfubU3WvqGXcNaXa/qWfoMP++w/yhn9smvsAGy7lMyWkCwJqI0xoy79x0D7tZ6jJrxcbIQuLH7hrneXfRajX7yHDETUO3h9ml7aYPh3JJdYZNHzpHaB7IAuBAk4W5480+1Ot3MydzHwC5ze/wWMp1nON9A4BXR+azMHUrABsG5nCx38RzorudaNVU066c8WQPNrHLOde8hoUsp4nh3HgHnoCJe3fDbobHzjl2XTHsYXP99p1v8l/Z32HZRPNdzHzaebnD7HHbdg7z9eVmT4hanVgTseOPOyN5TGt7AoCRvNHYI2YORB0p+N3Zx+tZu9GsO4FAhNoFJjayU4IEY3YGR8y+UJ3dTUfA9M3hNheXVJjvfO4ITiISO7aGpPfRF/JS6WoE4Jn6CVQWmr4d422hZaTQjHvkbeo8pm+sljgVATNXnYF+XnKeT4bbzI9AxIH32NgUuzo4GjT799y2h+gcPR+AgrrXuf3wFQDMr/EwIa+bWMK0p3JoB0/4zzJ960ywMGMnAKufq+Kr57Udv/7uRAHRY/vXkZ50CjJM/aM8nQQTpj88Vj/1Q+b+ad9RJ1dWvQPAy/0zOSt9E+/Ejq0PCVgQe9mMe1Y1trgJ7vV1Y7nu6LfMmC24ndHOJvIazZqwq+wS8u2dADjiIXL2mfP/beRvmD3B7IPDITv9Q+a6untjzBgbxx+2AXC24yWcA+b8jdmXkZNiYuuhV1K4eFEEgM7hVM6tvwuAtyd/mabeVC5xPQnAC5aVTMk5CkDp3mcgZOJ+z9TPkmIzj2MJG1ZLnMr2jQD8vO9SLpu4H4D9gSompZj7vP3BsVR5zNwcsaTyo9+a/vtx8c84dMbfMHbjzwD4afq3+Urs3wFIFJQR8Zp4dPa186DjRgDKcoLM73uMaJqJu1epZY7HjKHH381ToeUALCg4RE6v2e/fdC/njZ1mDf37aW9iiwZx+kzfjOSW80JgEQBprhgT0828iVnttAfN/XAoZmNwxMH8dLMOtlrLKaQVAL8tg6Zhc9w4Tz0tUXP/NHPP//DD0N8BsHhalJb+FMqyzVybGX6dOq/Zs2dU5/JJpI+Ii4iIiIiIiCSBEmwRERERERGRJFCCLSIiIiIiIpIESrBFREREREREkkAJtoiIiIiIiEgSKMEWERERERERSQIl2CIiIiIiIiJJoARbREREREREJAmUYIuIiIiIiIgkgRJsERERERERkSSwf9wN+L/cbjerVq0C4P9r777jo6jzP46/Ntn0CmlAQkIaSSBA6CAgHVHKWVAR7HIip4jl/J3e4Xm2w47YC6Jyyin2U6qAIMWjKL1DaKEF0nvb+f3xlX2IIGxwA+R4Px8PH5Ld2c985jvf+c58dmZnsrOzz3E2IiIiIiIiciHKy8tjx44ddOzYsVafO68K7AkTJjj/fazQFhERERERETmbVqxYwT333MPmzZtr9TldIi4iIiIiIiLiBufVGWwRERERERGR0+nbt+8p358/f/5JXx8yZIhL8UtKSmqdE6jAPsFDDz1EeXn5uU5DzpGJEyee6xRERERERKSOZGZmkpSURIsWLU453f79+zl48GCt46vA/pXy8nIVWSIiIiIiIuex3zpDfTrJycnExcUdd/+vk5kzZw4rV66sdXz9BltEREREREQuCK1bt2bdunUuTWtZVq3j6wy2iIiIiIiIXBBGjRpFz549Tztdz549z+gsuQpsERERERERuSDExsYSGxt72ul8fX2Jjo6udXxdIi4iIiIiIiLiBiqwRURERERERNxABbaIiIiIiIiIG6jAFhEREREREXEDFdgiIiIiIiIibqACW0RERERERMQNVGCLiIiIiIiIuIEKbBERERERERE3UIEtIiIiIiIi4gb2c52ASH1R7enN0SI/APx8HMTtXQTA6kZDCbJKAVhV0ZaNWzwBGJXwPbmx7WhuywVgV2EErRrsAuBAw67EzHgRgNiLn+QHjxEAtClfReu07gD8tMeXu1ososy3AQDl9gA2lgYB0DK6GIfNzKfC4Y1nTSUAlgWZCZcAkFcZTGMOc3vgNABW2K+g7eZ3zXQNIynybghAeOEudh9MAyC9oSdt17/FR5F/BuDSqB8JzN9n5hMQRuvi7wA4mNaf3Brz+b/c70ulowqAAp8IurCaHV5dAfhuXTC3pSwDwDuvkIbeAQAEtE2hWdFa0y7t+lH2lzvp8NhXpg2qVkCN+e4vvngdfn49TXs0GIjdy2aWP8FBv63PA5DV6RoO0Z4Ais0yhFUQs8/MszqwAUF+RQA02fMDS8OGAdDOewXlQU0AWLvZm1kHwhjRLxCAIEcNXXdNAWBDygi+2xAMgE/rXnSPLARgS25jUhsepNQ/3OTcKoiFoQ8B0Nl7JX7LZwPQMK4rh2oiAWifUsPFRz8EoLK4MbvSr2B9dmMAevqtxmZZAAzuXEZOuVnPXbM/geyDZv21vousPH/+UGHa6eM9l9OuqQ8AOUU+bG9j+lD2YR/WJw03OTsqqXR4AdDIN5udRxLwsTsAmLUuij+06QTA8gOxpEabPNO2P0eBIwSA1tF5BNhLqQk0fwfayyjxCAWg3PLDm2oAMvODGTmgAIAFB9MJDagBoJfHAg74p7HKx6zDDo4FlFSYdbsiN4VLa74E4DvfofTLM/10eaNhFLc2+UdWZZHtFUNBmT8ALQ6uIyDEtHllVRKrPLsBUJRjx2a6BmkNDzB9RWNGdjLbRHhJNlkVJudqh434LV8D4GjTkX2NzPLvDGrERVWLAciiEQUNQ2ji2AtASZUf5cFRAHxztCtXBn8LwDarL8eMsr/Hd47r8beVABDqV0V6xFHz76ojTFrRxUzXdTs+viaX/Z7NCPYz66I6tjnenhafrksy7RzgweXNNwFQ7BFC0yM/AjCoax/yKsw21D3rfX5oeoPJZbdF6/AyyqtMI9iwWJx4BwBlRR54YOaTfbiUsAIzBtnXLCG3+9UE/7ztNs7bRJWP2QaCfSOIKjXTxZQVkJXYC4D86lAKY8x237x8I3s9kgn0M8vc7sBM2vuYNj/k2RnPn+PaO3bD8fPKSWlUxK2vx/DB1asBKIxIIiNwCwDlngFkhpr5eJU5CNlllnlH86H09F4CgN/uTH6MuZq7rjLbepPSxRR7mf5QaGtATKmJVeYVRMllNwPg6TB9NCXHrN/NMZdRU23GTsvDk7jKrQAc8YulxfqpAMS3HsiG8tbm30kNSGQvflVmHPEtyGOrf0cAWvzwJF16m/Gh1DuE0CYRZh6HG5BdaMbUohIHdruNNSXm74b+5dwdN9+s2ynTmXnpB6b9G5ptBiC3PICLEg5j/dxua0L60azGrA9/eyh92pttemNxEt2r5ppYPtH42k2bZ3s3o6PfQTbnmH7b6cAnbEu7GoBGHCDPYdpsYVUPurUxfaPGFoCj0kajQ2tMvAZxRPiY8SXMx4ODVjIAXStWMS2z08/L0pzGXqafh3gWkO0bh6fNLIe/dxVNfc3YFVq8n+aVOQDYmg1l1xGzPU9+fhHfPG7GvQ0xQ2hv30tNuVm2tg13Yis3uV3qO5+8hhkArI8cQbfSmQBE5GwBD09aWmZf4lldifd/FwCwq+cY/H/e99bkHGF1TTsAOlcvZLVvDwBSu4Zza+X37PdIASCo8BBdo832NTRwJ4U2s4+IylzGgcSLAVi6P5GsQzW0iTSHzzn+TdmQE2OWrQZS/A8BsK84guaJ3gCsXlvpHHerHJ60sa3G5m+Wu4hwEgNMf24dm49viWmntBB/AsvNv2uqvIlxlLGsyOxXb654lWz/PgD4lRViWY2d67ORw8RKrNnOt6VmOQdZX1Jc7knbINOHKn39aLzs3wB8EjueLjFmrFsVfTWeVWb9RXl40ibdjAcZkXsJL93LYf94APKDYvCpNPmnhmUTkH8YgDsHh+FdVQZAhd0fy7JRY5k+vGNPDb3bm+1zS2kKh4t8AegUlUnDn8eQy1ocwrvY5N8hajceJdWkBJicQwv3kRti5r/uaBydQs34GBdZRV682V/k5PuSZitmR/xA07ZlPuSWNwOgRcBOaiLNeurXoJTiStO3OzXcyqwCs20e2F9Mh1Q/WoabfuuzeTsH0/oD0DXnWzxKzfZ1fZ+uRFZlAXDIymB5+l0A2G0OGoVUUOpl1ke6TxZZZY0AKEi9jgibaaf1WQ3oFmvafH12I7pGbuONXHNs0jm5BL8Ksy/dc8SbH3NbANC/TSHf728OwFXeX/L0kJ/3g9U9aMhR9vb8IwABW22sSxht+oa9nAaOI6b9Vi6kabdyABL8s1jlMcS53TT1yaNq0lMALLltGr3D1picbeF872XaMi1wD6v9EwCo9vJjn38aPxaaY4YM/6MMzTZj597IPth/Ph49VB1F6zIzdi/z7E1MSBF5dvOZ1OzvyQk3211s5gIqf15nno5qfDx/HscyLqNXpfl3mm0TnmFpZJSbeLuD2/LjXtMGbc3QdN7RGWwRERERERERN1CBLSIiIiIiIuIGKrBFRERERERE3EAFtoiIiIiIiIgbqMAWERERERERcQMV2CIiIiIiIiJuoAJbRERERERExA3q/XOwH3roIcrLy90WLzs7222xRERERERE5MJR7wvs8vJyJk6c6LZ49957r9tiiYiIiIiIyIVDl4iLiIiIiIiIuIEKbBERERERERE3qPeXiIuIiIiIiIi4Kjc3l8WLF5OZmUl+fj42m42IiAjatm1L165dsdlsZxxbBbaIiIiIiIj8z3M4HDz33HP861//oqqqyvm63W4nODiYl19+maZNm/Lkk0/SqVOnM5qHCmwRERERERGpV/r27XvK9+fPn3/Ca6+++irTpk3jvvvuo3v37nh7e7N69WomTZrEddddx7Bhw/jXv/7FqFGj+OCDD2jdunWt81KBXUvufiyYnF/ceUd6ERERERE5f3z22Wfcc8893Hzzzc7X4uLiiImJ4dZbb2XEiBGMGzeO7OxsXnzxRaZMmVLreajAriV3PxZMREREREREaudkZ6hPJycnh+Tk5BNeT05OprKykgMHDtC8eXP69u3LAw88cEZ56S7iIiIiIiIi8j8vOTmZ//znPye8/tVXX2G322nSpAkAvr6+ZzwPncEWERERERGR/3ljx47lzjvvZMeOHXTv3h0vLy/Wr1/P999/z0033URgYCAAmzdvJikp6YzmoQJbRERERERE/uf17t2badOm8fLLL/Ppp59SUVFBXFwcTzzxBFdeeaVzuo4dO9KtW7czmocKbBEREREREbkgZGRk8M4775xymjO5e/gx+g22iIiIiIiIiBuowBYRERERERFxAxXYIiIiIiIiIm6gAltERERERETEDVRgi4iIiIiIiLiBCmwRERERERERN1CBLSIiIiIiIuIGKrBFRERERERE3EAFtoiIiIiIiIgb2M91AucbX19f7r333t98Pzs7+yxmI+eTA1ZTOjTYCsCGoiSsGl8AKmvseHlXAdA799/YEoY7P7M0L522EXsAaLH3Q1Y1vw2AeHsmto49AMgvtZMcXgiAd04esQ1LAfCJqGJ5WVcS7QcBWLgrjpAABwDtsj6jOjjMzCQsha0erQBoH7iJBitmAJBg8+Bgp6s4EtMOgA5HZvPf5rcD8OncSv7a2OQ1eVcvvLxMqIiCnTii47k8YCEAR7zj2RzUAoDCcm8aBpebWBvepTL9DwD4elSwpzAcgCJPX/JK4+gXsBQAP9/uWNgA8CwtBMvkHxRQiNemlQBkB/WjwZPP4ONlltN33XK+b3Gvs20ubZtj2uzLxyjq9wIAjQPzqUpMByC3qiGR9sPsKmsKQNvqH6gIiQJgrXcXWhX/CMD6xoNpW23+7VuQTalvAwAuSikiLm03DXeb92KjW1AWZ2InVGwgNs0PgAKPCLKKzGf6WrPxPFCKbc92AJLaNqd94bcAFPs1ZVfPMaadl4VzaQezPiP9C7Bspi2q7b7YsOgdbNogaM1CFqaZZU4K2k9BRRMAdsQNoFmgmWb6nGquvqSMLV4XA9C0rIJmxesBOOjdg6R98wCwx/YiqCYPgODC/WzwvwiAjblx9I9aQ469EQDlMZE0ProOgOjQSA6VBJnP9BuN3aox6788mJY53+DwM++F2PIIKj1i1pt/M/w8TX/w9rKY/IVZt8/1mUF+SLx5ff0mVkX0o3OTvQBUWcH0C14DQOjuH1kVex0A6d6ZHAjpZtqJPAIcZnsIzN9HwOpPaNDvegC+CbmJpIamP1wRfogqh+m4DiuUVj6bzPJXVJKe2IRdpdGmbf1y6FbzXwA2+LblvwE3mfXsd4DYH/4FQETrHnyd3wcAPx8HNpvFTluy+dteQb5PY7NuPEvY5tkBAM8Ci4JK0zcOJF5Mm+rNbC01n7GwsSPf9MFeNWsY2a0hAL4VxeT4mHXbrHQzTf1M/h75Vew54kHDUNM/usQeIKjY7GtKgoLZG27m2YBCIir2AVAU14YZ31sA/F/P1awpbk23sI1m3dga07nmewBWN+hG2c9j1e2Dy5hxuB8AHXsmUewIJPzAYgBqGkbh9fP2ub0kjGSHmb/D7kNAVQEA1V5exC58C4AdF99FuO0IIYX7AVgXMYAahycArfKX4r1/h1lnUWNoH54JQCOyGXVzHPkBZpuYf7g1V1dNNfHiBuBvKwGga/5iNiVdBUDKdxPZ1fsuADIbdqfPwr+xvMc/zDwLu/OHkq8A8GrQjI3epp3ar3uH1Wm3mFyKFlEe3Jz1DXoDEOV5hBIrEADvbWvI7zAUgOCaXMoT2wKw6GAa7ZqY8ajRT/9hVfoYEjx3ArDVvyOmlWBZ9ydI9M0CYOqSpiTGmfXZolEe3h5mn3BxZDZbypNJCDDTNSzcQ2ZYFwBCb0+mdLtZh02b5vHpYrOdtUr1xsceRJBPAcfsc8QC4GmzqHaYcyPJwVnUFAWY94knpWotAFn2FJrvnokj/lIAPiq7meG73gXgh8bDSfYxyxIQVszhiggAym0hBNqq2d2wKwCbjkaR0DAfgEjbIec4XuoTSlwj0wLl1V40OWzGzb1RnbEsZ7ocKfYlxbMIgAqfYKq8TJ4NqKBP5TcAHLh+CDnBZj8UXbmHVfnphPiafUllqZ02djP/IyGJFDvMOqtx2PAoN/3k/34cRK/uwSR4m+nS8uazt5fZx2XmR5DnFwxAfM8wQhxmrFrp0ZPvVpr28+uSRETgEWLzTbtt9O9KGCbWSnsP4j1N37ayD+KZUA1AeuOjRIUEM6P8WgCaO47S35oJwOdlQ4grXwZArN2LNZFmW6tODyLMLxcAL1s1Pvl5ZIelAhBWsJuPj5ix5+pGi9kX0hqA9+eFcnlPM1Yk2Haw1asN6f5mO9qQMoLcUtOeXaq/ox1mW1/j352WhUsAcCyaTfehZnw6bG/D4NxZWEVm+9we1JEmjWIA2LWvinbR3gDsy/PniqJ3ACiMzaCHb6ZzffoUHyW2+KiZT0g/Ooab7bvGw87RBkkABFflsKXaLFerj8ZSdsOjbD9qlqF/uyLWlptjiYsLPuczmzlOOloVTkGFGZ/2VoRwICcOgBvDZrDKrw8hDjNWlAQH8dNBMw4Py36RvGCzPWfleNEVM1Z1DIXNVS0pLzHbYSufTVT7mmWzsOFZaNZButcSlnqZdRO5eQHXR5jjupkXDaWVzzryrEiz0NVVFDhCALA3iKdBjllmT2oo9jHHAjEeRTS2ZTnbaa8tjjWVZh028sqnssa0ebjHERrkmvbs3DSErfmmXbpEbierMpqeaWaf7WWrJrPGtNMVjX5gQUBnAJqXrKJRY7P8LFqFV4bZr//k34tmtn3O+Uc1tGjkeYCfF5oP15lYf+h/J/uzTDv72yNpVzQf+4FdACTG5FHT1Oyvwv1L+O5oBgDdIzfj42XGhxo86ZlutueAw5ls9elAcpTZDhvX7KM6yOzjPl7RhMvam221sf0Q24M6ApDqsZtymz++llmfi3wG0aNgPgDFjVOcY//Kgha0DzXrw78iHz+7aafgfRvIDW2LzWYGma054Vzn/+XPS3055yMV2L8yYcKEU75/quJbRERERERELly6RFxERERERETEDVRgi4iIiIiIiLiBCmwRERERERERN1CBLSIiIiIiIuIGKrBFRERERERE3EAFtoiIiIiIiIgbqMAWERERERERcQMV2CIiIiIiIiJuoAJbRERERERExA1UYIuIiIiIiIi4gQpsERERERERETewn+sERERERERERGqjb9++p3x//vz5J329TZs29OzZk8GDB9OrVy+8vb3dmpcK7Fry9fXl3nvvPddpSB2ZOHHiuU5BRERERETqSEVFBcuWLWPu3LkEBQXRv39/hgwZQpcuXbDZbL87vgrsWpowYcK5TkFEREREROSC9ltnqF3xzjvvUF5ezjfffMPcuXP54osvCAsLY9CgQQwePJhWrVqdcWwV2CIiIiIiInLBsNlsdO7cmc6dO/PII4+waNEivv76az7++GOmTp1KbGwsgwcPZtCgQSQkJNQqtgpsERERERERuSDZ7Xb69u1L3759KS0tZe7cucyYMYM333yT1157jc2bN9cuXh3lKSIiIiIiIlJv+Pv7c/nll3P55ZeTm5vLrFmzah1Dj+kSERERERER+YWGDRsycuTIWn9OZ7BFRERERETkgjB//nwiIiLqLL7OYIuIiIiIiMgFITo62qVnX+fm5rJy5cpaxz9vz2C7+rzp7Ozss5CNiIiIiIiIXChWrlzJPffc879zkzNXnzftShEuIiIiIiIiUtfO2wJbRERERERExJ2GDBni0nQlJSVnFF8FtoiIiIiIiFwQMjMzSUpKokWLFqecbv/+/Rw8eLDW8VVgi4iIiIiIyAUhOTmZuLi40/4kec6cOWd0kzPdRVxEREREREQuCK1bt2bdunUuTWtZVq3j6wy2iIiIiIiIXBBGjRpFz549Tztdz549mT9/fq3j26wzKcvPI/feey8TJ04812nIBeCjZRaX+pqNrCAomlzCAQjwKGVvaRQA6faN7PNIAGDToQb0abyB8NUzAZjk+WfaJVcBkOKfyfurkgFIivWkR8RGAFbmp+H583UlEQEleHnU0MArD4DobQuoCW4IwH+DLqNj5SIAKvwaMCO7EwBNw8qJ8ze/FQmpOIKFB8U+DQAIqshxThcVUkWv/OkAZDbtg69HGQDh+ZkcCUkkMn8bAC9v78f9QW8DsD5pOC1yFgDwWdWVdIzZb+Z59CcWeF4GQEmFB75eDlIaHgZgf0kYnef/BYDDf7iX4MqjAJR6h2B3VJq4RcnEh2Tzw55o0x5RJaSxAYDvCjsS26AIAF/PSiprzDMLv1nux83d9wGwKjueqOBy53rqfOhT9sd3N222fiY/Jt9sltnnCA48ASh3+OLjUWGWuWwfFjYO+cYDEGzlUWAz7exrK6dp5ncAfOF/E4N95gCwyKMf0UH5VNR4AZBVEMTgI2+afBJuZPYK8/pNPQ5S/fP3mDWWJz/sbgRATFgVF5fPYKm/abdWPpvwdFQDsKI8g2Afk1tplRexgabNtuZG0dt7MUUBkQAU2UIJtApMfziaQr/AZQDk+kcTvdf8e2OTy2iCaaft1Ul42izKq00+jfzzsGE511O4n2lnh+VB+c/tvC/Pn8Hes5jjGAhAYsNcEotWA/Di5t4kNzPt6eNlsWG7A4D0ZA9SGx4ysfAgLvdHtoV2BSDUno9/ZSEAXtVl7PMx28CW7DAGe5nt5JuqyxjkO9e0md2XNR6daF+1xLRzcEsal2w381w1nwVt/w5Az+o5WJ5mubYHdSQlbyk/BvYFIMynkKWZpt2vC5vDjqAOAKQeWciyoMEA5Jd50cfftNkhvwQ2Hm1Ek+BSABI8dlDuFWjatqYhkTazbIcdjWm58nUA7jv4J9q3C6WgyLTnJemH8fMwny91BBBXsAaAHUEd8PYwY0DTwg18lt8PgB5xe4jZt4yCRqkAFHuF8lN2HADdG27g+5xWAFzmM5eauV8BUHD1PURl/WjapelFbC9oQuYh0wZ9mh8kLvu/AHgWF1DaONm5bHFHVgCwzP9SOvBfvs43BxhedosmoWYciPE7xMcrzfybRHlyWeQqs85/aMXD8WbcONK0A5tKErmoxmwfOaGJrMw2Y1+7yD1szm8KwIEcO+3jzBjm41lJZFUW/5zbHICO7QIpKbMBMKLhbBbaTHv4e1fTvsbkP6/iYtLDDwDw330xeNstKqrMZzw9oKDYtHlqTCVZuT4A9IvZxMEaM5603v0J5Y2SOBpkludwRQQx3mbsKrMFEHPU9OfJhwfTI9XkuTc/BLunidvD43syA9qw7kCYWTelFhnNzLoFaF1m+ub+0HTit3xt5pHSG9+qYgBmHW5PUmQJeWUmt95VM8Fm8i8OiSHkp9kAZHe6kqhdPwCwtNFwUn228+wcMyaNHZRN9C4zn8rQKA6Hmn6yZG8cw/nQJLJ/D0tb3w+YbTu2YC3//Mms20eSv2BTk0sAyK/wZ1e2LwCDoteQZzfjSZnDl4aeufz3UCIAcQ2L2V8QAECzBoW89VkNAC8MWInX9rUAFLbpi1+pGZ8+KRzIFWGL+K6iBwC+9hr2HTXj4HXh3/JlUX8ALg1fjqfDbAP+23/k+8QxZv357+SfnzeiQwezv+odn8nhiggAGnsf5t0lsebfUd54/LyPjI2owsvTQZqv2V99uL4l7Zub/cq+HF8SIszNieweDlJq1gOwxzuFELsZN9cebUZ8g1zSVr0DQG67SwksNvvPNb7dWbvb37RFlAO7hxnfYoLyiCtah2eV2VaOhqVwpMa0YYuFz0Kr9ub1yJZU2cw4GliVT8gBs0/bFDOIsmof2uabfcl3vkNpEmjySS5cyTp/s+9qmzeH3IgUs248g1hzpCntIncD8MP+eNo3MdtEcXUAu/OCARiS8xZ4mX62J7EfTRdPAeCVoIcZ03QWhaGmDQs8wiipMcuWXLYG75IcAOb5XO5czj3ZXnRPMvvxkmpfEmu2cNjHbEMVDm/nvuNQcTDVDrNCooMLaOBptqE52xPpkXSIxTvM2BvgBwMjzDiyydGSEB+zboI8ilhz1MRNapiDt830ja255piqY6h5NNLK/DQyD5j5jEhdyw+Frc26Cc3Hw2ZyTipYxfqAbrTba8aoeRE34eNp+m1eqRfto0z7Ra+fSWlCBgCVXgEUeZn9feOj6ygNaoxXlcmtxtObj/eZfVdCoyrig39ujxp/PG0mbo3lib+n6QulNX40q9xCxc/7i8mrWjCw/c+xLBsL1prtycfbxoBWZruJLdnEroB0kvLNuHy0YXMOVZr+1PbAlxyK62LWM8E0O2qm8aipcvaNEs8Qyhy+BHuY/eqWglgurjJjykr/fjgwY00T/xz8LTMmWdiwOyppsOgjAHJ6jaTSw4wJRyrDyCkzfaNP2VdU+5plWe3bw7meO1UsZG9oG45WhACQbN/Brhoz9rcu+Z6lXj/v18pmkh2ZDsDcnUlcH/QlpcGNAcjyTmRHjmn3luGHiC7cZHIJief7fWYMWrosh+e8/mHadshtlHiFEJVr+sPsmoF0CdsCQNPkU/+G+lzRJeIiIiIiIiIibqACW0RERERERMQNVGCLiIiIiIiIuIEKbBERERERERE3UIEtIiIiIiIi4gYqsEVERERERETcQAW2iIiIiIiIiBuowBYRERERERFxAxXYIiIiIiIiIm6gAltERERERETEDVRgi4iIiIiIiLiB/VwnICIiIiIiInI2VFZWsn79eizLon379thsNiorK/nqq6/Yu3cvMTExDBw4kJCQkDOKrwJbRERERERE/uft27ePUaNGsXfvXizLomXLlrz99tv88Y9/ZNOmTTRo0IC8vDxeeeUVpk6dSnx8fK3noQJbRERERERE6pW+ffue8v358+ef8Nrzzz+PzWbjvffeIzAwkIkTJzJq1CgcDgcLFy4kKiqK/fv3c8cddzBx4kReeumlWuelAht46KGHKC8vP9dpyHlg4sSJ5zoFERERERGpA6tWreJvf/sbnTt3BuCRRx6hf//+vPTSS0RFRQEQHR3NmDFjmDBhwhnNQwU2UF5ersJKRERERESknjjZGerTKS0tJTQ01Pl3gwYNAI577djrJSUlZ5SX7iIuIiIiIiIi//OSkpL45ptvnH9//fXXBAQEsHDhwuOmW7BgAbGxsWc0D53BFhERERERkf95o0ePZuzYsaxYsYKAgAB27NjBK6+8wv/93/+RlZVFWloamzZtYt68efzjH/84o3noDLaIiIiIiIj8z+vbty/vvvsuF110ES1btuS9996jV69evPHGG+zfv58333yTnTt38tBDD3Httdee0Tx0BltEREREREQuCJ07d3be5OyYdu3a8dlnn7klvs5gi4iIiIiIiLiBCmwRERERERERN1CBLSIiIiIiIuIGKrBFRERERERE3EAFtoiIiIiIiIgbqMAWERERERERcQMV2CIiIiIiIiJuoAJbRERERERExA1UYIuIiIiIiIi4gc2yLOtcJ/F73HvvvUycOPGcx5D/fVnbNlBh9wfgcEUElTV2ALoc/oRPvW8AoFuTnWwtigXA7mER5Z/PwZIGAGzN8iLC/JPwwErSvTcB8FNpOr1KvgRgTfhANu4PAiDQz2Kw9yxmVF0KQEpEDuFkAxBUfAgPRxUAhUHRBBftB8Dh6UOVt8lxnz2RAM9S1h2JBqBJcClNfA4B4FdVRLaneT155TtsaD8GAH/PMpZkNiYk0AwLGVH7OVphku5w8DOWRl5jPuO7i0M1TQDIr/Djoy/zAXit6wwmV9/M1fE/AXDQHkts2RYAKr0DnW352vKWpCZ6AVBUauPaiAVkBbUAIC5/DRsDuwKQ6NhKlleCWZ6CBgT5VAKw+6gfGTFHAUgoWsMPHhdzccnXABxo1A67ZdrGt7qEXVYiACVVPs75B3uXk1q6AoB/H+1Pk7BqOvutMeugqjXlVZ4A9PBaQl5gDADLDiQwIOxHAN5cm8EVHY/S7KiJ8X7eUFKiKwDofvAD9iX1A6BR7kbWBVwMwPzVvlzXxawnv5oiDtOEsmqTU2Pfw3jXlANQY7OTVWnWTSOfbKLytgKQE5rA5qJ4OnmtBODvs1vQ72LTVzZlQoC/+b60pNRBXLT5d0GxjaFJpp85bJ5U2nxpuvZLAHa2vobsslAzH/9cmu37HoDDMe05UhNp/l0SSFxwDnGF6wDYFtCB9CzTzhTkUZrUDoC1tg5U1Jg2Sw7OYt4Os876Ju6iyYFVbI7qa5bbo5zQGrPeAksOsz/ErPO8ymDsNgcA6Ufm8pXHMAB6hq/nkC2aQM8SAGKyluFRadppT0JfgqrzACi2h9I4dwMA31oD6RGwkiM+TQGotuz4e5jPNzqynneODAGga3Ih0R57Aaj09MPDqgFga0k81TU2OviuNctMGmVVZlvPPOzD9XvGA1DVsR/eJTkArAi5jAP5vlxRNQ2A7KYdyLXCzDxrsgg9tBmAipAovEtNzkei0ll6qLnJpfFOSqxA9hWZzwT7VODtWW3a48AMcqLbALAyP41AH/N6bGD2cdt2UaU3zYP2AdB43wqqgsPNagqKpszDbHs2LBofNetyX3g79peEU/ZzX+9T8R88yk07WZ5e/NDwcgDaOZZzMCDZtEVeFP7epp1KKz3p6b3E+V7Ctm/4PPiPAPSI2kzYoY0AHG7Slt2lJs9A7wqa2PZR4WnGqBrsROWb8SE7tDlllnm9UcVufMrzATOm2SuKTF42Dz4pHkR6kwIAQrwKicucD0BWQk+yyhoBUF7tSVrgLgD8K/Ip9w7iuwOmr1VUQa/4PQDsLm5ES1+zfe0nlgDPUgCW72tCt1jTNwKr8zloiyHSZsbOzaVJtPYxy+Y/831+MaoiVwAAOudJREFUGjABgC77p7EnaQAAZQ5fsktDAFi1xZOercqwsAEQb88kbMMCAPa2uYIm374OwIH+Y2i6dzEAG5tcxt6CEOIb5Jr2qMmixsP0wU1lzUn3NW1WYffH8+f9wN6qWLw9TN9YuSuEK+PXMOtABgCDG60ieOMiAFa0uIOCcjPu9Cv8mIOxXQBosnE2OakXU+oZDMDB8nBaVa8C4Ov8nnSJMe3haavGt9r0k/d+akHrZLOv8LE7aOf5I9+Xdgagj9dCVnh0N32gwJumDcsAaG39yPMrOwIw4uJcvGwm/7CyLPb5JLPpsOm3zcKKaV24EIBqnyCKAsyYFFK0n0MhKRwT+9Mn1ETHAzC18EpuOvwYAD91vJ82xebzr+weyPD2pj+8vbApHVuZtvSyWwT5VJJRsQwAj+oK7DvM9nGk4+WEHTHb7boG/fC0meXMLfeje/lsChs0A2BDeSrtPU07bbBl0MjXjAkNyw84+/CkbX3p0cos57KN3vwxfRVHfc1+Ja8ymGYeJrdKT1/m7TFjQmx4JTbMPFdusXNJ2wLnMluWDR9Psy8sqAwk3p4JQOjR7awMNscLuaU+hAeYNq9yeNK59Fscdm8A9oa0Idgy41Dk7uVUhZq23RbShQae5vUyy5/YXLMf/6riMi4LXcp/q8y6vchjKdlBZoxfkx3Dmk1m2a7vmYO3zewH95dH8d/NvowLmQrAlmaDSD5i+vePIZc42zPUu4iSarPdpxUtZVdoBwCaVOxkVXV7Iv3Nth/JQQ44zJi+MyeYqmqzPa1eX8yfLjVtbmGj1OFH04rtZn3WVFHiZ8ZU//I8fIvM8dPOqO5EVB8AYMHRDAYGLzHr2aMDsX4HaFhkxtEdfm3w9zRtmLBnnvM4r7LKxkVxWQDM2RTN9fE/AFDuHcTa4lRign7eL1X70SbvWwBqfIPwqDSxKgLD2exhxvQY7/2UEETTQrP/KgiKxl5j1q2HVYP/XLNP2XjJ38nY8ykAhxO7U4QZX7bnRjCwdDql4XFmvXkHE77PrLeq4HBne0bW7GdLdar5t28eDjyILjFjX26QaVeAGstOYbU5rgiz51BimX1HwqLX2Nj9PgBaHp6LtXkt2/rcC8DXK0KpqDD7hbsu2kyVpxlfZmam0T3RjJtJW79kSdNb6H7wAwCqQyPZG9YeAG9bBfN2mG24fbN8Cir8TNsEHCG/yuSSeTQYDw8YZJ9p1lVgT1oXmzEtqNMgzkc6gy0iIiIiIiLiBiqwRURERERERNxABbaIiIiIiIiIG6jAFhEREREREXEDFdgiIiIiIiIibqACW0RERERERMQN7Oc6gd/L19eXe++993fFyM7OdlM2IiIiIiIicqGq9wX2hAkTfneM31ugi4iIiIiIiOgScRERERERERE3UIEtIiIiIiIiF7TS0lKGDx/O5s2bf1ecen+JuIiIiIiIiMjpbNy48TffKy0tZc2aNWzYsAGHwwFAy5Ytaz0PFdgiIiIiIiLyP++qq67CZrMBYFmW89+/9Pe//9353pmczVaBLSIiIiIiIvVK3759T/n+/PnzT3gtMjISh8PB3XffTbNmzY57r6SkhDFjxvDggw+SlpZ2xnmpwHbRQw89RHl5+blOQ+rYxIkTz3UKIiIiIiJSB2bPns2rr77KhAkTGDFiBH/6058ICAgAoKioCIAWLVrQsWPHM56HCmwXlZeXq/gSERERERE5D5zsDPXp+Pv788ADD3DllVfy5JNPcskll3D//fdzxRVXuC0v3UVcRERERERELhiJiYlMmTKF8ePH89JLL3H11VezevXqk/4mu7ZUYIuIiIiIiMgFZ+DAgcyaNYuuXbty5513uiWmLhEXERERERGRC5Kvry/33Xcfw4cPJysr63fd4AxUYIuIiIiIiMgFrkmTJjRp0uR3x9El4iIiIiIiIiJuoAJbRERERERExA1UYIuIiIiIiIi4gQpsERERERERETdQgS0iIiIiIiLiBiqwRURERERERNxABbaIiIiIiIiIG6jAFhEREREREXEDFdgiIiIiIiIibmA/1wmcD3x9fbn33ntPOU12dvZZykbOV59tbcmQFpkAeNgcxPodAKA6IJQe4dsAOFDZGH+vKgBqHB40cBwhy9EQgJBAG/7eNQB0KZvLclt/ANr6b6TSIwKAh/62nreebQrAofIwDvm2pFFZOQBVNV6sLW0OQKB3PG1qVgCwvSKRdN8SAI76xnC4zMyvXdH3zCgfQNMGpQAUVvjQ7vByADZFX0pC6XoAVrQZR0PPIgCaZf9A9OoFFF9xBwCrctPoX/21+XzjFnRb/xIAS1vcTVG5FwD9q79mefPBJsfQSEb4LaXUMxSAJlV7+HBfdwD+0HwL3x9KBeDG7rvxsipNLkUJeBcdZUNZFABJWRuoSTefcdg8yS0PBKBT4Do2V5nP7ztQTeMGwQD4hqTRa+t7zI28DYABW9+hKjIWgKKgJpRXmTz97FX4eJp1E2gv4VBICgBDAtZR5elD8I41ALRu5kno1vkALG/5JwryfABIi8oj+Efz+iVtk7FhUePtD0DjMAet7aY9rZxsosK3mHby6ke3knkAHEwaSNTXkwDIHjKWpIKfKAxqAkBASS67fdIA+GlvGJ3jDgNwuCICGgBAg7KDdPDO45OsiwC478pMssq8Abg1YxsbK83nW9vXMzO7g2nnbfezIuZJAEK8y8guCaSy9TUAVFpeRPsfMe2MB7bs/QA0KimgkbcvAHmRI/CzlWJhA8DHs5IaP7M+tsVeRsqh7wA46uWDr5fDxLI8uTLa9LOAA3up8fEnqfgnAFZ7d8PTz2wDnn5VNKw8BEDc0WWsaGD60LTKqxnh+xkA1SXBNK/aw9Ews65K539L7k2PALA5twkN/MNMLvv8CQ2MMe3kX0WBbyR5FaZ/RPrk0KDsoPl8cBOSvasBKKjwpZG/2QUuPZBIvwiz/lP9d/LFllSKw9sBMDT3LY40vxiAPZ4tONr7BgByHOF4BZpYzWu28+22FJIuMssQaiugusbEttdUsCj0KgB6lH6Dw9P0R7ujkoxGJq98Ryg2LBKDzd8NKg6RYzd9Y3nEldiqLAAaBxdjWWZdRJTuobUZNvDAQdsjP7DQYebTOOtjNrQ3ubQsWo5pCSgOjGKWNQiAIZlTCWzWiYPe0QDkBqdS7hEAQHjxbjww8yzyjyTYkWvaMjAID5tZzx1s69jvn0J0yVYAahpE0rxhPgD7a6LZ2SDe5MJRmvvsAOA/ma3okVROk1Lz97KqLlSHmnayLBtJWQvMummUivd+M83YDcMJizB5De9VRCN7FcccKg/DnmjWzZojcfh7mb4V4FPFrJ2mz3SMz6WsyofIEDPedLGWMOtQbwDKKmy0iywGILnqJ+ZV9jLrPGIZJQ6z4QUWH8Q3JAIPh4md7rsFn/JCk0CvQTT32g5ATnwnmu7/AYBVYYNoGmi2rfU+TahyeLIv18+0U1giDcI3A+DrKMHRqY/z39tjzD7BTjXb98Lh3HAAosMbEBFgxvhmgYf4z47WZvZJWVT+vHZ9PKvYmRMCwKXNd+L70ZskXf6cWYYVMyjobPpDSbk3TYJM/l9VjKBX1RqzLHYv/Mty2eWVAMCBAn/8w8x80hvn0HTfUme7fxtoxpDbW/9IiXcoAD/lJlEV7EfrsD0ArC3vwtE809eTIwtoMftRAFb3f4I+HU3fKnf4sKf452Ws+Ak/v6akROYBkF0ShEel2fet9B1ASI35d8ShJezz6gFAc99MDrb7A2H5OwEYlLiZVU3vB6CgzIdtoV0BGNFuh3O7GdttMyuLWwGQFHIIO1W8ttH0h1tbrSEg0fTvYlsIjsh0ADKyZlDewGyPlT6BrPPpTdsD/wEgNcaLbdU/TzfjIXzSTexVsdexJd/022Gd9jPpU7OvGNTPi3WONjR3mGOJ/x6KpvTn8W3dLm+GtTB9Y/KyRK7tZra7+JhGJJStZ3ax6esbt1dxWWez3ezO8eeITwsABth20sx3n2lPPx+Cqszn11e3oCIgjPW0BWDBUk/+GvUNAI6AEDyqTNu23PYxucndzPqvaYRnWBsAeljbcJR70jLY5FxAY/aXmsGnV8hP9OtYBsCK4s6E+JhYgV7l9E6v4sDP62rumjBSGpg+XODjQ3robgDC83awyqcnAJ8UXUbfBmY8KfKL4KL87/i+uC8ADYNzKK8yy5wWeZS40k2mbYMWwQGz71sTPpBF6/0Z09xs64UBUewsbwZAteVBj/x3AcgLDaTQlgxASmQeuZ5m35FWuYnJKzPolGb+Trc2c8BhjiWqAxuQEGzGiq8W2/Gym2nCQi0CDpuxqqZxC3oVf0FeoMknbsZkjl7+JwAiDm/AI8/UET/4XUKXUnNcsNDzEhJCjlAY2Nj8fbAFV1e8B0B5RDOsHgMByC31h/wcAHyqSwnPM/0k7uf9iU+JeW+vT3Oyov9g5umdQ02NOY+6pTqVJn5mTGr4/qP4XTrEuS8q8g8i9SfTNmWpncn1yQCgQVEWZY8+DsD+56bg5fh57PX0ZO3FDxJiM+3RNb2G/DITa/LqdK7vZNZtk7Aagi2zPRfGd6CRdx4Um7FnX9JAmuauAWBa3mU0amjG14SqTXhX5JvZ5BcTEmmOebN9W9EhaCMlltkOmzs2sT7IbA/miOj8owIbmDBhwmmnOV0BLiIiIiIiIhc2XSIuIiIiIiIi4gYqsEVERERERETcQAW2iIiIiIiIiBuowBYRERERERFxAxXYIiIiIiIiIm6gAltERERERETEDVRgi4iIiIiIiLiBCmwRERERERERN1CBLSIiIiIiIuIGKrBFRERERERE3MB+rhMQEREREREROduqq6vJysqioKAAm81GREQEjRs3/l0xVWCLiIiIiIjIBWPz5s288sorLFmyhMrKyuPei4iI4JprrmHUqFH4+vrWOrYKbBEREREREalX+vbte8r358+ff9LXf/jhB26//Xbi4+MZMWIE3t7erFmzhlWrVnHnnXfi4+PDp59+yoIFC3j//fcJCgqqVV4qsF3k6+vLvffee67TkDo2ceLEc52CiIiIiIjUkRdeeIH+/fvzwgsvHPf6O++8w7Rp05g3bx4jR47kmmuuYdKkSYwfP75W8VVgu2jChAnnOgURERERERHht89Qn862bdsYN27cCa9fddVVPPvss2RmZpKYmMjNN9/Miy++WOsCW3cRFxERERERkQtCcHAwu3fvPuH13bt3Y7PZ8PPzAyAmJob8/Pxax9cZbBEREREREbkgDB06lBdeeAGbzUa3bt3w9vZm3bp1PPfcc6Snp9OkSRMADh48SKNGjWodXwW2iIiIiIiIXBDuueceSkpK+Oc//4nD4QDAsiw6dOjAU0895ZyuuLiY6667rtbxVWCLiIiIiIjIBcHLy4t//OMfjBkzhq1bt1JZWUlcXBzJycnHTTdy5Mgziq8CW0RERERERC4oUVFRREVF/eb7eXl57Nixg44dO9Yqrm5yJiIiIiIiIvILK1as4MYbb6z151Rgi4iIiIiIiLiBLhEXERERERGRC8KQIUNcmq6kpOSM4qvAFhERERERkQtCZmYmSUlJtGjR4pTT7d+/n4MHD9Y6vgpsERERERERuSAkJycTFxfHhAkTTjndnDlzWLlyZa3j6zfYIiIiIiIickFo3bo169atc2lay7JqHV9nsEVEREREROSCMGrUKHr27Hna6Xr27Mn8+fNrHV8FtoiIiIiIiFwQYmNjiY2NPe10vr6+REdH1zq+zTqT894iIiIiIiIichz9BltERERERETEDVRgi4iIiIiIiLiBCmwRERERERERN1CBLSIiIiIiIuIGKrBFRERERERE3EAFtoiIiIiIiIgbqMAWERERERERcQMV2CIiIiIiIiJuoAJbRERERERExA1UYIuIiIiIiIi4gQpsERERERERETdQgS0iIiIiIiLiBiqwRURERERERNxABbaIiIiIiIiIG9jPdQIi56MjR46wdOlSMjMzyc/PByA0NJSEhAS6detGRETEuU1QzqoDBw6QmZlJQUEBACEhISQkJNCkSZNznJmIiIiInE9UYIv8QlVVFU8//TQfffQRNTU1REREEBISAkBBQQFHjhzB09OT4cOH8+CDD2K3nz+bkLuKwF27dhEdHY23t7fztbVr1/Laa6+xceNGAFq1asWdd95Jenr6Oc21rs2dO5eXXnqJnTt3YlnWce/ZbDYSExO5++67GTBgwDnKUETkf09lZeVx+4df7o/OR/Up37rMtaamhm+//dZ5rNC6dWv69u2Lh4frF8w6HA7mzp3LokWL2LVr13EnOeLj4+nVqxf9+/evVcyTKSoqYvr06cflOmzYMAIDA2sVpz7lW59yre9s1q+PGkUuYM8++yzTp0/ngQce4NJLLyUoKOi494uLi5k1axbPPvss11xzDX/+859djl1Xhau7i8C0tDQ+/vhjWrduDcCqVau4+eabiYyMpFevXgAsXLiQo0ePMm3atHOaK9Rdu37++ef87W9/47LLLmPQoEEkJiYSHBwMQGFhIZmZmcyYMYOZM2fy5JNPcsUVV7gc+9fccVAC9W/neTbyrU+5uivfs5Vrfeq39SlXd+ZbXFzMxx9/zKJFi076pWavXr245pprfteBr7u2saysLKZMmcKiRYs4ePCgcx9hs9lo3LgxvXr14pZbbiEmJuaMc61v+Z7PuQ4fPpwnn3ySxMREwJyEuOWWW9i0aRN+fn4AlJWV0bp1a959910CAgJOG/PIkSPcfvvtbNmyhbS0NBISEo47yZGZmcnmzZtJS0vjzTffdPlqwu7du/P222+TlpYGwMGDBxk5ciSHDx8mPj4eMMcSTZo04d///jfh4eEuxa1P+danXI85W+NtXVCBLfIL3bt357777uPKK6885XSfffYZEydOZMmSJS7HrovCtS6KwNTUVKZPn+7M84YbbqC8vJypU6c6d5qlpaWMHDmSqKgo3njjDZeWv64K1rr6QuCSSy5h0KBB3H333aec7qWXXmLGjBnMmTPHpbh1cVAC9W/nWRf51qdc6yrfusq1PvXb+pRrXea7a9cubr75ZgoLC+nevfsJ+e7atYslS5YQEhLClClTnH3uVOpqG1u7di233norISEhDBgw4KT7h7lz51JQUMCUKVOc4/3/Ur71KVc48Vjh4YcfZtasWTz//PP07NkTgAULFvDAAw9wzTXX8Je//OW0Me+++2527drFSy+99Jv9cdeuXYwbN474+HgmTZp0Rrnee++9rFy5knfeeYeUlBQANm/ezB//+Ed69+7N448/7lLc+pRvfcoV6m68PWssEXHKyMiwli5detrplixZYmVkZNQqdkpKirV27Vrn39dff701bNgwq7S01PlaSUmJdfnll1ujR492KeaAAQOsSZMmnXa6SZMmWQMGDDijPFu1amXNnDnzhOm++uorq1OnTi7FrKtcLatu2tWyzHIvX778tNMtX77catWq1RnnO378eKt9+/bWwoULna/Nnz/fateunfXUU0+5HHfs2LHW4MGDrczMzN+cJjMz0xoyZIh19913n3G+99xzj9WtWzdry5Ytztc2bdpkdevWzRo/fvw5zbc+5VpX+Z6tXM/nflufcq3LfG+55RZr5MiRVn5+/m9Ok5+fb11//fXWrbfeeka5umsbu/baa6277rrLqqys/M1pqqqqrLFjx1rXXnuty3HrU771KdeT5du1a1dr8uTJJ0z3xhtvWH369HEpZtu2ba0FCxacdrpj28OZ5tqhQwdr2rRpJ0w3depUq0ePHi7HrU/51qdcLavuxtuz5fw7py5yDmVkZPDGG29QVFT0m9MUFxfzxhtv0LZt2981r2PfKh87QwHg7+/PLbfcwurVq12KcfDgQbp06XLa6bp06cLBgwfPKE9PT08iIyNPeD0qKorS0lKX45yNXME97QoQHx/PrFmzTjvdrFmzXDrz81vmz5/PmDFjnN/4A/Tp04fbb7+duXPnuhxnyZIl3HfffafMJT4+nnvuuadWV16cbD533nmn85tpMFcRjB49mkWLFp1X+danXN2V79nKtT712/qUqzvzXb16NWPGjHGe9TmZkJAQRo8ezU8//XRGubprG9u8eTMjR47Ey8vrN6ex2+2MGDGCzZs3n1Gu9S3f+pQrQH5+Pm3atDnh9datW3P48GGXYnh5eVFZWXna6SorK3/XPXDKyspITk4+4fXmzZuTm5vrcpz6lG99yhXO3nhbV86fOzSJnAcefvhhbrrpJnr27MlFF11EQkKC83fYxcXFZGZmsmzZMgICAnjvvfd+17zcUbgeKwI7dep0yulqWwQ+/fTTzuX28PBgz549tG/f/rhp9u/fT2hoqMsx6yrXX3PXFwLjxo1j7NixbN26lYEDB5KQkOC8rK6oqIjMzEzmzJnDmjVrePnll88431MdlNQmbn3beZ6NfOtTrlC/DqLqU7+tT7mC+/INCAggOzv7tNNlZ2e7fNn5r7lrG2vYsCHbtm077Zew27Zto2HDhrXO85j6lG99yHX58uUcOnQIML+LLSwsPGGaoqKi477wPpW+ffvy1FNPERwcTNeuXU86zQ8//MAzzzxD//79a5XrN998w48//ghAYGAgOTk5J0yTk5NTq22hPuVbn3KFszfe1pXzLyORcyghIYEZM2bw73//m8WLF/Ppp586dxjBwcEkJCQwevRohg8f7iy2asPdhWtdFIEdO3YEoKSkBIAWLVpw4MCBE6b79ttvSU1NdSlmXeV6TF18IdCnTx/ef/99Xn/9dZ555hmqq6ux2WwAWJaF3W6nc+fOvP/++yfM63TcfVAC9W/nWVf51qdc6yLfusy1PvXb+pRrXeU7ZMgQJkyYQHV1NQMHDjzhpp1FRUXMmTOHZ599lquuusrluHWxjV133XU899xz5ObmOvcPx25cWVlZya5du5g9ezZTpkzhzjvvdDlufcu3PuUK8Pzzzx/395IlS+jTp89xr61Zs4bY2FiX4v31r39l3Lhx3HLLLYSEhBAfH+/st0VFRezatYvCwkK6devGgw8+WKtcp06detzfCxcu5JJLLjnutRUrVtTqC/76lG99yhXqdrw9G3STM5Gz5IYbbjjhtc6dO3PXXXcd99qYMWOorq7m7bffdinuqlWreP3111m+fPlvFoF/+tOfal0EujLfyMhIl3ecv5XrsSHoTHOtq3b9pcrKSvbt23fcHXibNm16Ro83OdmXEiNGjODvf//7ca8988wzLF++nM8++8yluMXFxYwbN46lS5eeduf54osvunwX2pPle8UVVzBhwoTjXvvHP/7Bli1b+Oijj85ZvvUp17rK92zmer722/qUa13mW1VVxeOPP85nn32GZVk0bNjwuC81c3JysNlsDBs2jPHjx5/yEuJT5eqObQzgrbfe4q233nJ+ufvLIhDMGfnbb7+d22+/3eWY9Snf+pQrmC+tf83b2/uEm009/fTTJCYmMmzYMJdjr169msWLF5OZmXnCSY6LL76YjIwMl2PVxrGb/fXu3btWn6tP+daXXOtqvD1bVGCLnGfOpHAF9xaBv6W0tJRbb72VRx55xHmn0zNxNnL9tTNtV3ery4MSqD87z2PORb71KVc4Pw6i6lO/rU+5no18Dx8+zOLFi50HpL/Mt3v37kRFRdUqnivOdBurrKzkp59+OmnbtmvXrs72EfUp39+T648//njSflCXbSvye5yr/e7vpQJb5DyTm5vLzp07nZdqu+LIkSNUVVXRpEkTwJy9/vbbb9mzZw+xsbH07dvX5d+oHHve5smUlpZyww038Pjjj9OiRQsAWrZs6VLcyspKampqjrvEMTc3lw8//JDt27dTWVlJeno61113HWFhYS7FBJg5cybdunU75Y18fo/c3Fzn4J6fn4/NZiMiIoKMjAwuuugi5xUDIiIiF6KqqiqysrJO+NL8fPxt7K9ZlkVubi4NGjQ4L5+n/EtZWVns2LGDiooKWrRoQdOmTd0St7S0lEOHDhEdHY2Pj88Zx6murnb2g2PHSo0bN3ZLjvWNCmyR88ycOXO45557XLqb57FLaJYtWwaY36w899xzjB49muXLl2O326muriYtLY0PPvjApd9tpaamHneZ+a8LyGOvHfu/q3cdvf3224mJiXFe9rhu3Tpuu+02HA6Hs1jfuHEjPj4+fPDBB85nwrqSr91up3v37gwdOpQ+ffrg6+vr0mdPxeFw8Nxzz/Gvf/2Lqqoq5+t2u53g4GByc3Np2rQpTz755Glv3PZb6vNBCdSfA5O6OigBHZjUpaqqKj7//HP69Olz/j3j9CxxV/86cOAAmZmZx401CQkJzi9lz2c5OTns37+fmJiY33WDs1+rrKzklVde4ZprriEmJsYtMZcvX+4ca1q2bEnnzp1d/uzRo0ddfrb1mTp06BA7d+509oPIyEhatGiBv7//GcVbt24dr776Kj/88ANVVVXHHTN4eXlx0UUX8ac//cnlZ2sDZGZmMm3aNLKzs0lKSuLaa6894SqLnTt38uijj57w299TmTFjBp9//jlVVVXccMMN9O/fn88++4ynnnqK4uJiAgMDueOOO7jttttcjrlr1y6io6OPO/u/du1aXnvtNefJilatWnHnnXeSnp7uctz33nsPy7K45ZZbADMOPPzww8ycOdP5szqbzcbQoUN54oknXPp5R01NDS+//LIzxvXXX89NN93EO++8w0svvURlZeVxPxmpzRUNmzdv5pVXXmHJkiUn3JgsIiKCa665hlGjRrnl2Ky+qB9HcSJyUq+88gobN27kscceIyQkhNdee427776bffv28eWXX5KamsqaNWu46667ePfdd0/4XfLJREZG4nA4uPvuu2nWrNlx75WUlDBmzBgefPDBWl8ivm7dOq6++mrn3xMmTCA5OZnXX3/defY5Ly+PO+64g6eeeqpWv5UeMGAA69at47777sPf35++ffsyePBgunfvjqenZ63yPObVV19l2rRp3HfffXTv3h1vb29Wr17NpEmTuO666xg2bBj/+te/GDVqFB988EGtDiDq4qAEdGBSFwcl8L95YPL999/z6KOPMn/+fJc/U1f967eUl5fzj3/8g8TExFoV2HV10NumTRt69uzJ4MGD6dWrl9suqf2t/jVlyhQmTZr0u/rX3Llzeemll9i5cye/Pp9is9lITEzk7rvvZsCAAW5ZlmNq80XxMW+99ZZznLnpppu48cYbefnll3nzzTepqanBZrMxfPhwHn74YbdcOVRRUcHbb7/NxRdfXOsC+9lnn8XLy4t77rkHMMXx2LFjWb16tXOf43A46NChA6+//rpLvw/t0aMHaWlpDBkyhMsuu8ytl+4vXLiQF198ka1bt57wnpeXF4MGDeL++++vVYG/cOFC7rrrLtLT03nggQdITEx0/sa/sLCQnTt3MmvWLEaMGMGrr7563GPnfsu2bdu49tpr8fb2Ji4ujsWLF/Pee+/xyCOP8Ic//ME5XXFxMStXrnQ515kzZ3L//ffTtm1bQkND+fOf/8zf/vY3HnvsMUaOHEnLli1ZtWoVzz//PAkJCS5ffn/ZZZfx8ccfO/fVq1at4uabbyYyMtK5TS1cuJARI0Ywbdo0l8ebDz/88Ljfw0+YMIHvv/+exx57zHnDr6VLl/LMM88QHh7OAw88cNqYkydP5u2332bIkCEEBgby6quvkpuby9SpUxkzZgxpaWls2LCBt99+m6ioKJdvePfDDz9w++23Ex8fz4gRI/D29mbNmjWsWrWKO++8Ex8fHz799FMWLFjA+++/f8LNFn+vM9mXnRVn53HbIjJ48GCX/uvdu7eVmprqUsy+fftaH3zwgfPvDRs2WCkpKdYnn3xy3HRTpkyxBg8e7FLMkpIS65lnnrEyMjKsZ555xiouLna+V1hYaKWkpFgrVqxwKdYvtWrVylq5cqXz75YtW1qLFi06Ybp58+ZZGRkZLsdNSUmx1q5da1mWZf3444/Wo48+anXt2tVKSUmxunTpYj366KPWjz/+WOt8e/bsab377rsnvL5y5UqrVatWVlFRkWVZlvXXv/7VuuWWW1yO+91331ktW7a0rr32Wmvq1KnW0qVLrfXr11vr16+3li5dak2dOtW67rrrrJYtW1oLFy50Oe7WrVutjIwMq1OnTtbVV19tZWRkWG3btrW+/PLL46Zbs2aNy/3LsixrxowZVkpKijV8+HDrjjvusFq3bm19/PHHVsuWLa1//vOf1ldffWU9/PDDVlpamrVgwQKX46ampjrXm2WZdm3ZsqXVu3dv69FHH7UeffRRq3fv3larVq2s9evXuxSzX79+1vTp051/jx8/3urQoYM1ffp0a9++fda+ffusjz76yGrXrp31zDPPuJzrG2+8YbVo0cL6y1/+Yj3++ONWx44drRdeeMHKyMiwXn/9dWvhwoXWK6+8YrVp08Z65ZVXXI67bNkyKz093RoyZIj11FNPWS+88IJ14403Wi1atLBeffVVa/LkydbAgQOtK664wiosLHQ5ritmz55dq35QV/3rVGPhoEGDrJSUFKtv377W4MGDrSFDhrgUsy76lmWZsaZ9+/ZWSkqK1aFDB+uhhx6yli1bZjkcDpdjnExd9a/PPvvMSk1Nte677z5r/vz51u7du63c3FwrNzfX2r17t7VgwQLr/vvvt9LS0qzPP//8dy3Dr9W2f33wwQdWamqqdf/99zvbYNKkSVZGRob1/vvvW6tWrbLefPNNKz093friiy9cjtu2bdtT/peSkmK1adPGatu2rdWuXTuX4/bq1eu4vj9u3DirR48e1rJly6zq6mqrurraWrx4sdWtWzdr/PjxLsVMSUmxBgwYYKWkpFhpaWnWDTfcYE2fPt0qKChwOa+TmTFjhpWammqNHj3a+uCDD6zp06dbDz30kNWmTRvr3XfftWbNmmXdeOONVu/eva1Dhw65HHfo0KHWI488ctrp/v73v1tDhw51Kebo0aOtkSNHWiUlJZZlmWOO8ePHW6mpqdbLL7/snK6248xVV11lPfzww86/v/jiC6tly5Yn7AfGjx9vXX/99S7H/eXxh2VZ1vXXX28NGzbMKi0tdb5WUlJiXX755dbo0aNdjtuqVavjjrM6depkffTRRydM98EHH1jdu3d3KeaAAQOsN9980/n30qVLrdTUVGvy5MnHTffGG29YAwcOdDnXYcOGWffee+8Jr0+ePNnq06eP5XA4rLKyMmvIkCHW448/7nJcV9V2rDlbdAZb5CzJzMwkKSnJeTn0b9m/fz8HDx50Kebhw4dp3ry58+9jz8z89bMzU1NTT3ojnZPx9/fngQce4Morr+TJJ5/kkksu4f777+eKK65w6fO/JTExkTVr1tChQwfA3KSioqLihOkqKipcPrP4a+3ataNdu3b87W9/Y8mSJXzzzTd8+eWX/Pvf/6Zx48YMHjyY++67z6VYOTk5J30GaXJyMpWVlRw4cIDmzZvTt29fl749PmbixIkMGzaMf/zjHyd9/6KLLuKGG27gkUce4YUXXnDpW3+AF154gZYtW/LWW2/h7+9PUVERzzzzDA8++CD79u1z6eqFk5kyZQrXXHMNjz32GABffvkl48eP56abbnIu99ChQ7EsiylTprj8zb/1q7NpkyZNIi0tjalTpzp/p//nP/+ZkSNH8sorr/DGG2+cNubhw4ePu+pi7ty5/PnPfz7uyolrr72W6upq3njjDZfX2+eff864ceOcZxT69OnDbbfdxp///GfnWfuePXtit9v58ssvXf7m/4UXXqB///688MILx73+zjvvMG3aNObNm8fIkSO55pprmDRpEuPHjz9tzHfffdeleZ/sTNbpcq2L/rV9+3bCw8Pp0aPHCe9VVlayY8cOmjVrVqsz2HXRt4555513KC8v55tvvmHu3Ll88cUXhIWFMWjQIAYPHkyrVq1cjnVMXfWvN998kzFjxnD33Xef8F6DBg2Ii4ujd+/exMbG8sYbb7g0xj/xxBMuzXvv3r0uTXfMRx99xO233869994LQPfu3Z2533jjjQC0b9+e/Px8/v3vf3P55Ze7FLesrIywsDCuuuqqE/Yr5eXlTJ48mUsvvZTo6Oha5Xv06NHjPvPrs4vHluH+++/n6aef5vHHH3cp7rPPPktYWBhff/01M2bM4OGHH+axxx5zXjnRp0+fWl858frrrzNy5Mjjxo+rr76aTp068cwzz7Bo0SL69+/PzTffzIsvvnjCXct/y65du/jb3/522ukGDRrEF1984VLM9evX88QTTzgvWQ8KCuLxxx8nIyODRx55hOzs7N/cd54u12N9C8zP6R588METxp3evXufcPf+2li7di1PP/30cfea8ff355ZbbuHJJ590OU5ISAhHjx51/l1aWkpcXNwJ0zVr1uykj/Q7mcOHDx93Q7CMjAwsy6JNmzbHTdemTZtajYnbtm1j3LhxJ7x+1VVX8eyzz5KZmUliYqKzf7myH4O625edLSqwRc6S5ORk4uLiTrvzmjNnjsuXPgUGBpKfn+/82263ExUVdcKzUisqKmr9G9nExESmTJnC7Nmzefrpp5k2bRpjx44940vzbrzxRp588klSU1Pp3r07N9xwA88//zzNmjVzFrJbtmxh0qRJtb476q95enrSs2dPevbsSUVFBfPnz+frr7/mvffec7nATk5O5j//+Q/dunU77vWvvvoKu93u/O1ibS/drYuDEtCBCdTNQQnUrwOTp59++rjH351Kbbbluupfr7zyChMmTCArK4vx48eTkpLifK+wsJAZM2YwevToWt308dfcddALps06d+5M586deeSRR1i0aBFff/01H3/8MVOnTiU2NpbBgwczaNAgEhISXIpZV/3r4MGDdOnS5bTTdenShcmTJ7sU84MPPiAkJOS09/MoLy93Kd4xWVlZx+XasWNHLMtyfiF7TOfOnfn8889djvvJJ5/wxBNPMHv2bP76178e94VlUVERkydP5sorr6x1/4qMjCQrK8uZn/XzY9B+rWHDhrVui+joaO644w7uuOMOtmzZwtdff82sWbOYN28eAQEB9O/f3/kTKFfs3r2bhx566ITX+/Tpw4MPPsiePXtISkrimmuu4Z///KfLeTZu3Jjly5ef9h4ky5cvd/l+EpWVlSe918BVV11FeHg499xzD0ePHuWmm25yOU8w6+eXY+Ivx7FfOvbl4Zny9PQkMjLyhNejoqIoLS11Oc4ll1zCO++8Q58+ffDx8aF79+589dVXJ2zPX3zxxXEnWU4lPDycnTt3OtfXzp07AfNl2C+3s71799bqXgfBwcHs3r37hP64e/dubDabc9yNiYk57nj1dOpqX3a2qMAWOUtat27N4sWLXZrWlQEFICkpibVr19K/f38APDw8WLRo0QnTbd269YwfTzVw4EB69erFa6+95vKZk5O54oorOHToEHfccQcxMTE0b96c7Oxshg4dSmhoKAD5+fmkp6ef9GDgTPn4+HDZZZdx2WWX1aqoGjt2LHfeeSc7duyge/fueHl5sX79er7//ntuuukm52/qNm/eTFJSkstx6+KgBHRgAnVzUAL168AkKiqK3r17n7bYnT179nFfnJxOXfWvfv360aNHD9544w2GDx/OFVdcwbhx4wgJCXHbQZO7Dnp/zW6307dvX/r27UtpaSlz585lxowZvPnmm7z22msu//64rvpXfHw8s2bNOu1YM2vWLOLj412K2bRpUzp16nTaLyZq27/sdvtx9yA49sXlr2++5eXlddIrn35Leno6H330EZ9++ikPPfQQrVq14qGHHjrh/iK1NXToUF5//XV69OhBWFgYAwYMYOrUqXTs2NF5pryyspKpU6fW+l4av5SamkpqaioPPPAAq1at4uuvv2bu3Ll89dVXLvevyMhI1qxZw0UXXXTc62vWrMFmsznvgVLb7WHUqFH8/e9/Z+/evQwcOJCEhITjnrOemZnJ7Nmz+eabb1w+g9+sWTNWrVp1Qq5gruJ49913GT16NJs2bXI5T4AmTZqQmZnpHGs9PT159913T+j3+/fvr/WN5p5++mnn/tDDw4M9e/bQvn37E+IeO85xxbhx47j++usZMmQIw4YNo1evXjz99NNs377duT3/97//ZceOHbz11lsuxbz00kt54YUXyM3NJTAwkA8//JCrr76aF198kbCwMFJTU9m4cSMvvfQSffr0cTnXoUOH8sILL2Cz2ejWrRve3t6sW7eO5557jvT0dOfJiIMHD9KoUSOX49bVvuxsUYEtcpaMGjXKpct9e/bs6fLNGkaNGuW8G+ipbNiwgUsvvdSlmCfj6+vLfffdx/Dhw8nKyjrjZ2CPGTOGSy65hM8//5y1a9cSFRWFw+EgJCSEpKQkevfuTb9+/Wp1YN2xY0eX7o4OOHf+rujduzfTpk3j5Zdf5tNPP6WiooK4uDieeOIJrrzyyuPm/+uz3KdSFwcloAMTqJuDEqhfByZt2rRh3bp1p52utsVrXfUvMF+CjRs3jiuuuIInn3ySAQMGcPfdd3PZZZfVOtYxdXHQeyr+/v5cfvnlXH755eTm5jJr1iyXP1tX/WvcuHGMHTuWrVu3/uZYM2fOHNasWcPLL7/sUszWrVu73L9c/aIYzJdI27Ztc+4jPT09mTt37gn9fs+ePSf9suR0hg0bxiWXXMLEiRO5/PLLGTFiBDfccEOt4xwzZswY1q1bx6WXXsrAgQOJj4/nrbfeom/fvrRt2xaAn376icrKSt5///0zns8vdejQgQ4dOvD3v/+dJUuWuPy54cOHM2nSJIqLi48bZ95++20uuugi588v9uzZU6tL5a+++mr8/f15+eWX+frrr0/6xJFmzZrx7LPPMmjQIJdiXnzxxUyfPp3Ro0ef9Au9jIwMPvzww1rdUBPMDeQyMzOPe+2Xl/MfM3v27Fo9V/nYlQ8lJSUAtGjRggMHDpww3bfffktqaqrLcYOCgvjoo4948803mTp1qvPKrA0bNrBhwwa8vb3p1q0bjz/+uMuPSr3zzjs5evQokydPprq6miuvvJJHHnmEZ599ltGjRzu32fT09JNeWfVb7rnnHkpKSvjnP/+Jw+EAcF598tRTTzmnKy4u5rrrrnM5bl3ty84WPaZLROQsmzFjBi+//LLzTOUvHTsoGTt2rMsHJQAvv/wy06dPZ968eb/5OJ8dO3Zw2223kZ2d7fLZj6effpqysrLTfov8xz/+keDgYJ5//nmX4p7s4LZz584n/JZ3zJgxVFdXu3xX+bKyMt58800+/fTT4y4XB5wHJXfddZfLByVgLnd99NFHmT179gkHJu++++5xByZvvvmmy89xr6qq4sknn+STTz456YHJsTsbf/jhh1RWVjrvjn4qM2fOZM6cOUyaNOmU0x27w6+rv52uq/51MgsWLGDChAl4eHiwd+9e55lBV9VV30pNTWX69Om/64zkydRV/wJzV+PXX3+d5cuXU11dfdwjGO12O507d+ZPf/rTCV8+/JZly5axePFi/vKXv5xyugMHDrB8+XKX793xzjvvUFRU5Lwr92+57rrriI+Pr9WlzL+2efNmHnvsMTIzMyksLKx1/zrGsiw+/fRTPv30UzZu3Eh1dTVgDvijo6Pp1asXo0aNcvnLsbrqXwBvv/02b7zxhrMQPPY0hYceesj5JdPXX3+NZVkMHTq01vH37dvnbE8wX2YnJCTU+pGIxcXFHDx4kKZNm57y51e5ubns2LHjjB+R+Vu2bt1KeHh4rbYxV6xatYrIyMgzvpJw//79HD16FIfDQXBwMLGxsWd8r5pjV6X98meD27dvZ8eOHURHR5Oenn5Gj908fPgwW7dupbKykri4uJPew6Y26mpfdraowBYROUfcdVACOjA5GXcelED9OTCpC8f6V0xMzAn3ePgld/WvyspK3nvvPXbt2uV8BIy71bZv7d+/n4iICLc9nuvX6qp/gWnPffv2Hfcc7KZNm9bZstSV4uJivL293ZL3zJkzyczM5Morr/zdzwOvrq4mPz/fOdacj8/7raqqYu/evVRWVtK0aVOXHh12pkpLS7n11lt55JFHzviKt7MRU3HrLmZdxq0PdIm4iMg50rRp098spvPy8tixY4fLZ1YCAwNdKsxsNludXFIVERHBzp073V5gJyQksHPnzjMqsKOjo096yWNt2/aYk7VdcnKys93PNG5UVNQpn3l7pnFLS0tP+A3rMVVVVRw5csTlwuKX/etUcYOCgmr9TOGT5evt7X3cc2Brm+/JYv5a69atT7jK4VR+2Zfc2bbH2Gw2ysrKjov7y/5VVVXFoUOHah33yJEjVFVVkZiYCJhC/ttvv2XBggXExsbSt29f7PbaHQ4ei3ksl2Mx9+zZc8Yxz3Zcu92Oj48P69atIzIy8nfHDQ8Pd0u+ddUG+fn5+Pn5ndAPzjTusWfKn0xpaSlr1qxhw4YNzqtzXLlqqC5iKm79y/VUjh496rxCqkWLFm4/5nAXncEWETkPzZkzh3vuued3XWqruGcv5vkU99VXX+W9996juLiYqKgobrvtthMum167di3Dhw+vVa71KW59yrWu4hYXFzNu3DiWLVsGmCcAPPfcc4wePZrly5djt9uprq4mLS2NDz74wKV7WdRFTMWtf7mCuaT9lz85ONnPnY79vMFms7nUb+sipuLWv1zBPBpy5MiRzi+fHQ4H//znP/noo4+oqalxfkl2ww03nPYnK+eCzmCLiIj8j/jss8949dVXGTZsGGlpaaxatYoJEyawcOFCJk2adMaXhdanuPUp17qM+8orr7Bx40Yee+wxQkJCeO2117j77rvZt28fX375JampqaxZs4a77rqLd99916XfMNZFTMWtf7mCuTu5w+Hg7rvvPuGu7CUlJYwZM4YHH3ywVpcG10VMxa1/uYK5b0C/fv2cBfbkyZOZNm0aN998s/OmvTNmzOD9998nJiaGkSNH1ip+XVOBLSJyFg0ZMsSl6Y7djEZxXY9bn3Ktq7j/+te/+OMf/+h8bMl1113Hddddx3333cf111/P22+/7bxrcG3Up7j1Kde6jDtv3jzGjh3L1VdfDZhL3K+66iqeeOIJ5x2NMzIyuO222/j8889dKqzqIqbi1r9cwdxx+9VXX2XChAmMGDGCP/3pT86z38ce2diiRYta/bSlLmIqbv3LFU58XO306dMZMWIE//d//+d8rVWrVpSWljJ9+vTzrsA+s7tliIjIGcnMzMTDw4P09PRT/lfb37Eqbv3Kta7i7tmz54RHaXXo0IHp06dTU1PDtddee8Ljav7X4tanXOsy7uHDh4973vux33L/+l4Nqamp7N+//5zFVNz6lyuYR9M98MADfPrpp2zevJlLLrmEL774wuXPn62Yilv/cj2ZAwcOnPQxhX379mX37t1un9/vpTPYIiJnUXJyMnFxcUyYMOGU082ZM4eVK1cqbi3i1qdc6ypucHAwubm5J7zeqFEjpk2bxu23386IESO44447XM6zvsWtT7nWZdzAwEDy8/Odf9vtdqKiok64C3xFRYXLdyevi5iKW/9y/aXExESmTJnC7Nmzefrpp5k2bRpjx479XTfTrIuYilv/ci0uLnb23QYNGpxwVvuYM326Ql06/zISEfkf1rp1a9atW+fStLW5B6Xi1q9c6ypuy5YtmTdv3knfCwoK4r333iMjI4OnnnrK5TzrW9z6lGtdxk1KSmLt2rXOvz08PFi0aNFxZzPBPGLP1bv010VMxa1/uZ7MwIEDmTVrFl27duXOO+884zh1HVNx6y6mu+PedtttdO3ala5du5KTk3NcPz5m27Ztp3wKxzljiYjIWbNnzx5r3rx5p52urKzMysrKUtxaxK1PudZV3JkzZ1rXXnutlZeX95vTVFdXW+PHj7d69+7taqr1Km59yrUu4y5cuND66quvTjvdXXfdZb311lvnLKbi1l3Muox7Kvv377eWL19uFRUVuSVeXcVU3LqL+Xvjfv755yf8t3jx4hOmu/XWW60nn3zSHem6lR7TJSIiIiIiIuIGukRcRERERERExA1UYIuIiIiIiIi4gQpsERERERERETdQgS0iIiIiIiLiBiqwRURERERERNxABbaIiIiIiIiIG6jAFhEREREREXEDFdgiIiIiIiIibvD//gouXzF+7D8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the hierarchically clustered heatmap using seaborn\n",
    "sns.set()\n",
    "plt.figure(figsize=(8, 8))\n",
    "sns.clustermap(df, method=\"ward\", cmap=\"coolwarm\", col_cluster=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d26aeab-bdda-43c0-ac34-8b2c0b242ce9",
   "metadata": {},
   "outputs": [],
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}