Pancakeswap execution sandbox.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "68248447",
   "metadata": {},
   "outputs": [],
   "source": [
    "from decimal import Decimal\n",
    "\n",
    "from tools.pancake.lib.cex import Cex\n",
    "from tools.pancake.lib.dex import Dex\n",
    "from tools.pancake.lib.execution import Execution\n",
    "\n",
    "from tools.pancake.lib.constants import KEY, CASE_1, CASE_2\n",
    "from loguru import logger\n",
    "from deepmerge import Merger\n",
    "from tools.pancake.lib.chain_config import get_config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c806e370",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext lab_black"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2ac86d32",
   "metadata": {},
   "outputs": [],
   "source": [
    "config = {}\n",
    "\n",
    "merger = Merger([(list, \"override\"), (dict, \"merge\")], [\"override\"], [\"override\"])\n",
    "for add in [\"config.yaml\", \"yaml/bot/spread_arbitrage.yaml\", \"secrets.yaml\"]:\n",
    "    config = merger.merge(config, get_config(\"/Users/mdarblade/code/bhft/\" + add))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae4e2493",
   "metadata": {},
   "source": [
    "TODO:\n",
    "- [X] Add lock file for already executed pairs\n",
    "- [ ] Need to add local nonce update"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "adb4e2cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "self = Execution(config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f74936a",
   "metadata": {},
   "outputs": [],
   "source": [
    "report = {\n",
    "            \"capital\": Decimal(\"0.1\"),\n",
    "            \"pair\": \"XVS-BNB\",\n",
    "            \"case\": Case.ONE,\n",
    "            \"steps\": {\n",
    "                \"1. we_got_base\": Decimal(\"8.079189438215428449522425809\"),\n",
    "                \"2. we_received_on_bidask\": Decimal(\"8.079189438215428449522425809\"),\n",
    "                \"3. we_got_quote\": Decimal(\"0.5000746963074014936167046613\"),\n",
    "                \"4. output\": Decimal(\"0.5000746963074014936167046613\"),\n",
    "            },\n",
    "            \"roc\": Decimal(\"0.000149392614802987233409323\"),\n",
    "        }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e8f8e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "self.test_report_case_1()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f8605cc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"BNB\"->XVS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2972cff",
   "metadata": {},
   "outputs": [],
   "source": [
    "CEX : sell atom -> BNB. BNB (binance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55dd1f3e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9f6d7080",
   "metadata": {},
   "outputs": [],
   "source": [
    "(dex): "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a3c2cba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f4cef9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "  \"ATOM-BNB\": {\n",
    "    \"base_asset\": \"ATOM\",\n",
    "    \"quote_asset\": \"BNB\",\n",
    "    \"symbol\": \"ATOMBNB\",\n",
    "    \"inverted\": false,\n",
    "    \"tick_size\": \"0.00001000\",\n",
    "    \"min_qty\": \"0.01000000\",\n",
    "    \"base_address\": \"0x0Eb3a705fc54725037CC9e008bDede697f62F335\",\n",
    "    \"quote_address\": \"0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c\",\n",
    "    \"base_decimals\": 18,\n",
    "    \"quote_decimals\": 18,\n",
    "    \"pool\": \"0x468b2DC8DC75990eE3E9dc0648965Ad6294E7914\",\n",
    "    \"pool_inverted\": false\n",
    "  },"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fafef342",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4fd587c",
   "metadata": {},
   "outputs": [],
   "source": [
    "report = {\n",
    "            \"capital\": Decimal(\".1\"),\n",
    "            \"pair\": \"ATOM-BNB\",\n",
    "            \"case\": Case.TWO,\n",
    "            \"steps\": {\n",
    "                \"1. we_got_base\": Decimal(\"26.20427428871115772912023076\"),\n",
    "                \"2. we_received_on_xyk\": Decimal(\"26.20427428871115772912023076\"),\n",
    "                \"3. we_got_quote\": Decimal(\"2.002711259120943062560158335\"),\n",
    "                \"4. output\": Decimal(\"2.002711259120943062560158335\"),\n",
    "            },\n",
    "            \"roc\": Decimal(\"0.001355629560471531280079168\"),\n",
    "        }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "eb5bc4fc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a5fcd1aa",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'ATOMBNB'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/92/vrkgk4fd2ldftf34nt8pqpmr0000gn/T/ipykernel_82989/470785445.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreference\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"ATOMBNB\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m: 'ATOMBNB'"
     ]
    }
   ],
   "source": [
    "self.dex.reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0108c580",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba405966",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d5c1d664",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'WBNB'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "self.dex.get_token_contract(\"BNB\").functions.symbol().call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5e91b924",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tools.pancake.lib.constants.ExecutionReport at 0x7fcfa89c1b20>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "self.dex.swap(\"BNB\", \"ATOM\", 0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9de56a2e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d50a9f51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/mdarblade/code/bhft'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4dc26830",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os, json\n",
    "\n",
    "\n",
    "def load_json(filepath):\n",
    "    full_path = os.path.join(f\"tools/pancake/data/bakery/{filepath}\",)\n",
    "    with open(full_path, \"r\") as fp:\n",
    "        return json.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "efd582d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "pair_abi = load_json(\"pair_abi.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e3068374",
   "metadata": {},
   "outputs": [],
   "source": [
    "token_abi = load_json(\"token_abi.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7afa7f29",
   "metadata": {},
   "outputs": [],
   "source": [
    "pair_contract = self.dex.web3.eth.contract(\n",
    "    address=Web3.toChecksumAddress(\"0x468b2DC8DC75990eE3E9dc0648965Ad6294E7914\"),\n",
    "    abi=pair_abi,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "80dd6238",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Cosmos Token', 'Wrapped BNB')"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "self.dex.web3.eth.contract(\n",
    "    address=Web3.toChecksumAddress(pair_contract.functions.token0().call()),\n",
    "    abi=pair_abi,\n",
    ").functions.name().call(), self.dex.web3.eth.contract(\n",
    "    address=Web3.toChecksumAddress(pair_contract.functions.token1().call()),\n",
    "    abi=pair_abi,\n",
    ").functions.name().call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ebf44649",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[12718089635134705281265, 899317908430374012800, 1634315810]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pair_contract.functions.getReserves().call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3750c897",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('12718.09 ATOM', '899.32 BNB')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(round(12718089635134705281265e-18, 2)) + \" ATOM\", str(\n",
    "    round(899317908430374012800e-18, 2)\n",
    ") + \" BNB\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "099d75cd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7a5bc05",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a7556aa4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80023717",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fcb72495",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d879cb64",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bca24f4d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1f1f391",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "668cbf8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "self.dex.web3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b709db5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f204025",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f55aa701",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3952f7b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ceffa098",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "edb617c4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6560a12a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "64882158",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-10-15 18:11:41.860 | WARNING  | tools.pancake.lib.execution:execute:118 - Starting execution.\n",
      "2021-10-15 18:11:46.987 | WARNING  | tools.pancake.lib.execution:handle_report:27 - Executed 'Sell base for product on CEX': 2.35 CAKE in 5.13 seconds . Expected: 26.2043 (-9103.2 bp)\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'functions'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/92/vrkgk4fd2ldftf34nt8pqpmr0000gn/T/ipykernel_82989/2860667010.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest_report_case_2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/code/bhft/tools/pancake/lib/execution.py\u001b[0m in \u001b[0;36mtest_report_case_2\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     56\u001b[0m             \u001b[0;34m\"roc\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mDecimal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"0.001355629560471531280079168\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     57\u001b[0m         }\n\u001b[0;32m---> 58\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreport\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     59\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mlocked\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpair\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/code/bhft/tools/pancake/lib/execution.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, report)\u001b[0m\n\u001b[1;32m    161\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    162\u001b[0m             self.handle_report(\n\u001b[0;32m--> 163\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransfer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtoken_0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreports\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEXECUTED_QTY\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdex\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    164\u001b[0m                 \u001b[0mexpected_qty\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreport\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mKEY\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSTEPS\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mCASE_2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEXPECTED_STEP_2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m                 \u001b[0mstep_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mCASE_2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSTEP_2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/code/bhft/tools/pancake/lib/lib.py\u001b[0m in \u001b[0;36mtimed\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mtimed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m         \u001b[0mtime_start\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 19\u001b[0;31m         \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mExecutionReport\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     20\u001b[0m         \u001b[0mtime_end\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/code/bhft/tools/pancake/lib/cex.py\u001b[0m in \u001b[0;36mtransfer\u001b[0;34m(self, coin, quantity, dex)\u001b[0m\n\u001b[1;32m    401\u001b[0m             \u001b[0;34m(\u001b[0m\u001b[0mExecutionReport\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0mThe\u001b[0m \u001b[0mreport\u001b[0m \u001b[0mabout\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mrun\u001b[0m \u001b[0mof\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mexecution\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    402\u001b[0m         \"\"\"\n\u001b[0;32m--> 403\u001b[0;31m         \u001b[0mprevious_qty\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheck_balance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcoin\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    404\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    405\u001b[0m         \u001b[0maddress\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_address\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/code/bhft/tools/pancake/lib/dex.py\u001b[0m in \u001b[0;36mcheck_balance\u001b[0;34m(self, coin)\u001b[0m\n\u001b[1;32m    208\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    209\u001b[0m             \u001b[0mtoken_contract\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_token_contract\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcoin\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 210\u001b[0;31m             \u001b[0mdecimal\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtoken_contract\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfunctions\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecimals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    211\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    212\u001b[0m             exact = (\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'functions'"
     ]
    }
   ],
   "source": [
    "self.test_report_case_2()"
   ]
  },
  {
   "attachments": {
    "4d4d4246-1665-4bef-87ce-19d690577133.png": {
     "image/png": 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jIP8/uOy1jKB6Z8fSAFt4NbEasLRB/jnxx6cNCdAvvPhya+wRULMAyvezzrlg6Hme+/Yx3x96Ntu95trrKkTw0px/4SUD9u7+5b1Dwmu4gwCLuIsA/s1vHTNgj2e+/s3vVC+/Mpgf8O9I+IE/hA1BP8LbdP3JT6+vEJizWVhYGLKzbdv2VqbHnfDj6qMkKl96+VVD9ku/s5+ffLKjOuPs8zvtnHTy6dUnO3bkYPpdAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCcw0gSHBetzzq/N24EdSsH7kzV1DwuY423u/9OHCkL27X/60TpzzH/xo6F6sco7UQ5YuhW1E5DCEIYvTXd+ffndw5WQpWCMql2dw49dKhHOUYD1tPL561RsD8f/B7e8FmvpasoMPK8vDsJI8MysnA8RzG/GKoJuFzO/847G1yNrFYtNd99Sre1nhy4fVwtk8/MhjA25m98vvPzjuR/Xq42y/FJPZdry0l/+/8uqfNorV+RkE9GyOhB+shv7xKWd0hj3CyHP79x/Os02C9agJAMd877hq35cTAC657MqR/u7Zc2gnArZ0Z1V9hKXrShjaVmdnvn6XgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAArNAYCzBut4OfHFwhfXREqwvfuTjAWETkXPf/sOrnLugZkGU72y1jdm8fXHIzVtf2DngVNMziOAYthZni/HS/bb/EWOXvtyOHPulYN1kD8G6KQyThBO/ugTrPvG48OFB0Z9t28M0rYonjk+9c/gc8R8Xq9e/d9ug4B1ubbQrQmUpTt5w0y29MLDVdunmqP8vvfzqAT9LMXmU/XHuX3DRZUfcD7YmHyds8cxtt29aDmOTYB3PdV0fevjR2o3Lr7xmpN+xwvqKq34y9CwC9smnntk4EYBt3TUSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIYC0QGF+wXpgNwbrc2puVu+MatuTOYvA/3PzOstU/umLw3rd/cfgeD13z5LYBuwiyIZNf9tjWgXv4cctzO2oh/a3tS9UZ924Zuh+ru3G7S7BGCP/adZurm587tM1vn3DiV5dg3Scez70/NxRHzvzGPLp5eFU8jK781eEzd8t4ZT61Ixv0zzvvvDckVD7w0CO9aDSt7L3u5zfWq6hZQfzGm5sbV/Nu+fCjZX+bBGt+e/2NN6tXXn2tYlV2k2j7i1tuqzjr+elnnq3KVdn8n81q+zE3Nz8UhmOPP6neuhyh+NHHfjW0vTciMVuIY9oEa7YP/+ijj6vPPv+8Psu75MDZ0xjc4fOz628cYHXRJVcs36sfrKqh9Lhj091xq96yvdwqnHhoJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMBaIPClYL2nWlw69GnaErxeYd0kWM8vVWwHfiS3BP+LazcPCKMIsOOar//8rQG7iKRhflII0qyC/iKdT136i7gbhvOYsxDOec2l+eNiy+y/uf6t5UeaBGuEeM51Lk2fcOJWl2DdJx6scs8M+I5QjWkSwrkfnBb3Hhiy+9nC8LnJJYuN8P+vnnhqQMxE/Hz+hRenjvr8/PyQe6z0LQ3nIJdCK6t8w5RiMmdTh5DLM03naJ9/4aVhvb7efOvtQ35kN1bbjya277w7uLL/18+9MBTGNzcfenebBOums8LZBjyzPO3McwY4MFkg37/40isH7u/du2/gPs8iUO/ceehIAx4m3Ajd8clpNeCY/0hAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBGSMwpmDdvbr6SArWx9zy7oC4yarpcU0p1mbBetvufQPuIqiyahize2n/0L0PPj10tuz+A8NC7TkPfFg9+97cwOfY298bcgOhFtMkWL+wZb6+V/6ZNpzhTsngmie21bdWIh7fuumdgTiyfTvmmze+vfx7njQQq+PL1dn/4Zo3Irgb/vrkU88MiZV9BGvE1iyO8v2jjw9PvsjAz7vg4oFnjz/x5OXbpZh8+lnnLt/jCyuUS38eePDhgWeeefa5oWf27t27/Mxq+1EK5qzwfuXV1wc+L738ylAYr7/hF3UYmwRrVmWXBqE+s+As7GxGCdY8W65GD/cQw6+8+toK8Z0V4xoJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksNYIDAjW9erqpT3VwuLgZ37E+dVHUrC+pOEM63GhI5DmVcCIyNmw9Xa+H2dc3//aZwO/51XdH362d+Betj/qO3YxTYL1l7sO5+Atf58mnGG5TbBeiXiwbXmO819fd2glaub++FuD24N/vGtvVa4av+LxZgE14rCRrk0rle+7/6GpETz8yGMD4inCZ17VnB2+9fZNA8/mLbtLMblplXaIqnF94cWXs/PVCy++NOA+z3UJ1ivtx4UXXz7kf4S16xrhaBKs2cK9NNdce92AP9MI1vjZFaa4x+rtD7Z8WAbB/yUgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDAzBIYFqwLsRrxepYE63teGRSPEUhZdTzKzO0ZXiV97VPbB6zd/uLOAcH1q1cdWul7wqb3B36/6dlD50lj+YUP5gfuZcF21Pd3dxxapV0K1pxb3WWmCWe41yZYr0Q8mkRvBOnMgV3Ws4D94OufV5wXnp957eOFCO6Gvy4uLg4JlazIHWU++WRHfVY050XzYYtvTClCf/2b32l16v4HHhry+4svDm3VvnqC9eF3ebX9OOnk04fiF8Jv15WV55gmwXr79k+GeK6EYE0+OOf8i8YOL2eEayQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDAWiAwUrCuz6+eoRXWb2xbHBA3ETrPe/CjkayvfmLbkL2n3t09YK9J1P5kbt+AwIp/ny0ePl+5SaT93m3vVSduen/k5/Mv3SkFa86S7jLThDPcaxOsVyIe+FGeg81q6RCjY8V13tadtMsCNt+7VpdHPDbSFVE5C6icFx3CcRMHxM1yC+lzzruofvTxXz054BbuHjhwaGv60q1f3HLbwLNZ3F5tMZmwrLYf5QpruF5y2ZUjP/fe/2CN6kgK1pE2bOnOOdVl+ub8wXfuc165RgISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQnMOoHpBev5pYqtwPnsnl+stm7fXX9WO8JL+w4sC6AhhHLdMXd4ZWYZBgTe37lgcDvwWnheOCw8h50spvLMqfdsGfDv7298Ox6tr01nP7/y0WQrhCcVrPF40nBGoNsE65WIB36ced8gryxGx5nWrGyPtGM1eXznevyd70dQvX5JgG2eS0EyRNMmSJvuumfoec44xrBldenWW2+/0+RMdcppZw08y4rkMKslJu/7cgU3/qy2H7fcdsdA/IjvJOZICdZMTpibm1v+LCwu1tu4s138prvvqU4+9cyBeET6lluwTxI3n5WABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACR4rAeIL1wlI1nz5zC4jVR0ewBsw1Daulf++SV6vN2xeHuG35bE/1R1e8PiCKIoz+6K4Php7lh4ffHDxjOYupfOc869L84eWD7je5fcdLO+utr9n+ms8P7zgszE4jWE8TTsLdJlhzr288cKM8ozrze3Tzrhrd8x3bqDfxrS1t4D9N51gjSj708KNDVBApm1bfsuoas7S0Z0jcRBAvz7F+++13h5679mc/X/ZvtcTkvHJ8tf146ulnh+L40ceD56cjSrM6/Yyzz1/+hBC8WoL1+RdeusyZL7+89/6BcJK+WdjnmbffGU6vBx56ZMAd/5GABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACs0hgTQrWrAb+46veGBKhEUf/8dZ3a0H7mie3VWzN3bSymlW983v2N6bHvv0HG+3gNm7t2Te8ffKFD380FJYz7t1SsdL6nR1L1WWPHd4WOwTcvFJ7GsF6mnAS4S7Bum88cL9tBTzx/vTLFe2LLavkeWb3UnO6NCbWBvqRrapj5Wy+Hn/iydXPrr+xuvEXt1ZNK7F59vobfjFAiuezG3xHkH399TerDz/6qHrw4UcbRe+dn3667M5qi8l4tNp+fL5r11A8v33M96vHHn+iPvObc6DhW7JilTpmtQRrwsCZ47iPefW1N4bC8LPrbqj27t1b32dL9yeefHromVdefb2+7x8JSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMMsEJhas69XVR3mFNUBZTR3i76TXp94ZPLu6TKCTf/lBo9ucS91k9nxxYGh18qgwcRZ3mGkEa+xOGk7sdAnWfeMR8fmb698a4scK+Gy+2jDh4K9+tjk/4vdE4LPPPh8SV0shten/E3982tAZ1fPzCxO79fMbb06hWT0xef/+wxMWVkuwzn48+tivhoTeJo7x29nnXrjMYaUE61/ec19rGPbs2Vvx4XztCEO+tv3OKuwcz+VA+0UCEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJzBiBMQTrhu3AZ0CwhiPbYuczkkeJxKyQZmvuUeaFLfNDgituP/PeXKvV17Yutq7MLsN176uD24pPK1hPE84uwZrI9YlHwLnu6cNnVEfcf3D7oVWp8cyP7x6eFPCTJ7fFba8NBHbs3FmdcNKpjcJlFjHj+7HHn1SxirjJvPLqa9XXv/mdsdw65/yLatE0u3MkxOQj4QdxuvDiy8fi8ONTzqgQ+8OslGDNaupIs/K6Z8+e2rs3N7/V+kxph/9fevmVCKZXCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJDDTBL6yuLSnis/C0p5qYXHwM784u4I1ZOf27K+axM8QSuPK9uA7578YKzEOVlXFtuFhlyv/H+RGh9m1uL86/Z4tA/ayG4jFH352aBvf7MzdL386YIezpMcx04TzL67dPODXtU9uH/Jq2niEQ2yDnuPN9xue+SRu11cmDpTPvLV9aeAZ/xkmwPbPt91xV+cKaVbXcn5xeS516Rpi9smnntkphLadg3zBRZcN2Lvy6mtL54fCWIqoL730yoAbCK15VfCR8CMC/fwLL1Zsxd0k/vLbprvvGeLZdB44kwpKw9nf2d1TTjurfKR64MGHq7/79ncHnsNOCNZY4FxxJiFkt8rviOqb33p7yH1/kIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAKzSmDNC9YBlrOT2Sb8/tc+r6761bb6w0rm17cuVot7h8+dDnurcd21tL9i9fMtz+2ohVpWZn/25fnNq+Hfarm5XuKxWnyOpruI0YijCK233b6puunm26pfPfFU9f77H1R79+6bKGisFGYF7/0PPlzdevum6ulnfl19/PHWoa3EJ3J0DT7MZADiTfzv2HR3zXPLlg8HRPTVjBb+b9/+SfXee+/X6fjx1m1DIjn+79z5afXMs89Vd971yzqcTCp44cWXK57XSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIIG1RmBZsG5aXc1q61lfYb3WgBteCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhI4RKC3YL17frHis3X77vojWAlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMA4BHoI1ovV3JditYL1OKh9RgISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEMoFOwXq+bUvw+aVarFawzij9LgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACkxBQsJ6Els9KQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkMCKERgtWC8sVfPpM7fA6mpXWK9YCuiQBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggayx54IAACAASURBVA1KQMF6gya80ZaABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCRwtAkoWB/tFNB/CUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhuUgIL1Bk14oy0BCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUjgaBNQsD7aKaD/EpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABDYoAQXrDZrwRlsCEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDA0SawMoL13GK1dfvu+nO0I6T/EpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCSwNggoWK+NdDKUEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABNYdAQXrdZekRkgCEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDA2iAwkWA9t7BU1Z/5pWpufrH+7J5frHa7JfjaSG1DKQEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCChYz1BiGBQJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACG4mAgvVGSm3jKgEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGCGCKy4YP2vznu58iODtZIHZuhdNCgSkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAIS2HAEFKwV2Df0BIMN98YbYQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQnMEAEFawXrDS1Yb92+u/IjA/OAecA8YB4wD5gHzAPmAfOAecA8YB4wD5gHzAPmAfOAecA8YB4wD5gHzAPmAfPA0ckDCtYK1grWitaK9uYB84B5wDxgHjAPmAfMA+YB84B5wDxgHjAPmAfMA+YB84B5wDxgHjAPmAfMA+aBo5IHVlywnqHV4wZFAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmICC9QwnjkGTgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQksJ4JKFiv59Q1bhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgARmmMC6F6z3HzhQ8dFIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIoIsAmtJrm9+tHnvq+ZGfF199s9q7b1+Xc96TgATGILCuBOv9+/dXb2x+t7r5znurMy64sjr25HOrbx97av3h++nnX1nfe33zOxXPaiQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQAgfmFxer8K66vTj3/qrE/Z1/y0+ql1zYLUAIS6EFgXQjWBw8erJ55/uXqxDMuqr517Kn153snnV0L1Jdc/fOKD2I1v8V9nn3muZcq7GokIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQ2NoHHn35hbKG6FLVfelXRemPnHmPfh8CaF6x37Z6rzrnkJ7UQ/Y8nnFndetf91TvvbakONAjRBw4cqN5+b0t1y6b7qmNOOLO2c84l11S4oZGABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEti4BK675e5asD738uuqzz7fXetHaEj5E0L1rXc/WLEl+GkXXL0scitab9y8Y8z7EVjTgvUHH26tjj/tglp4/tlNd0wkPH++a6766Y2313ZxA7cmNY88+lj1k2t/NvXnlltvn9RLn+9J4IMtW5bT64033uzp2pGzfuNNv1gO9969e8fy+L77H1i2s3XrtrHsrOZDjz76eHXu+RfWn88/37WaXum2BCQgAQlIQAJHgMAXX3xR3XDjTdUPjju++uqf/Fl1zrnnHwFf9UICEsgEPvvs8+rSy66ovvWdY6p//8d/Wv3ynvvybb+vIwJPPf3Mcn9qbu7wpPtf3Hxr/ftV1/xkHcV29qPCeAL13tf+5ht1Hfjue+/NfqBXIYRbtny4nC9fe/31VfBBJ2eNgGXO+ClCW/n8Cy+u3xHG6DTrh8BHH328XPatpfFlUqCtPbF+UmdlYhKC9cXX3NTqYAjWd93/WP3Mq2+8vSxaI15/6vh3KztvSKCNwJoVrLfv2Fl9/6Rzqu8cd1r16BPPtsVv5O+PPPFM7QZu4eYk5g/+8N9X/9l//l9M/fkn//V/O4l3PjsmgaWlpWp+fr5aXFwcssEkgUgzGo1rxUSYuY4rPv/Wb/+b5bjOQsP477/9D8vhWWuNubWSTwynBCQgAQkcXQIh4P7RV/9D9b/+b79R/cb//i+q7/zDd6ubb7mt+uSTT45u4Fp8J8xXXnVNLXT9s//5n1f/5X/1T6p//hv/Z/Wnf/aX1W2339liq6r27fuiym0N2ij/7vf/sNq9e3f1vR/8cOLPJZdePuQXg+Ann3p6Bc///n/8p/Xn//3Xv1uddfa51c5PPx16fiV/mJZLhOHNNzdXtH1gRJv/v/nv/ofqX//bf1eL+9u3b4/Hhq4vvfzK2Ox27NgxZJ8fEDBPOvnUOj3gRpr+i//7t6q//ttvVi++9HKjnfwjoss/HPO96jd/63eq/+mf/i/V7//BH1XnnHdBPbjFjlVdBr+vu/6GWjwl/+M378Kf/OmfVxdfclmdb7rsT8st3OQ9YwLF//F//T81d/Il/hOfceIe7hAPws+78MSTT8XPjdeVSLNp8zppRd7KfQUmiK6W+fDDj5a5/u03/n61vFkRd19+5dXqL/7qr+v0Jx/C6f/7vT+oTvzRyXU51eUJaX7mWedUf/hHf1zHl3eYsofynPTuMvRByevhN3Z5/8iD5O8+5kc/PmU5rd95591lp8jv5IGNOL5AOtOvp4yhvKPM+re/+/tj86af/Fdf+9u6zCCfYJ9xHtzcs2fPMuPyCxND8nvH91//+vmBx2alTUA4KM8JI4xW2jzw4EPLLK6+5tqpnf/4463VNT/5aUXZQnuE/Ey4/9PXvl7hxyjDM7QZeM+xixuk5SmnndHZZliJMrxvPuxT705bf8Dz7HPOG6vNwQKKbFajzJmk3s1hoX1CXf3nf/m1/HPr975tpOwwizLwm8/CwkK+tfydOiHKiv/453+1/Ps0X1i8Qns52pZRt1Hf3LnprmmcPCp2Jk2zad8vxoXH7ZM8/czkusJDDz+ynLY//dn1NcuV7Af1LRO7EretPYGdlSgTcadPO6xPmdgV7657c/ML9WJGFjTG56rrb6tXS08iWOMHonUI2Q889nSXt96TgAQaCKxJwXpxcak6+ZxL69XRv37x1YZoHf5pz5691fzCsHB5+Imqwg3OtsbNxaWlfKvzu4J1J56jdpNOJg1CGm+lUbAuiRy5/xWsjxxrfZKABCQggSNP4NPPPqsHrGJQqrzSLukrVqx0rN5++53OMBMHBsWIW2kY5M9xJH4MKr//wQcDv+dnur4jDmaDGICbbXa496snnsxWVux7Hy4E4vQzzm4NN/Eh7Ii6Teaiiy/ttJt5vPra8Eo2uDFQn58rvyOcHWw4PonwsEKzfD7/j902gxCPQJCfL78zqNs2cbEPN8J0z733d/pNWNq4l3FiF60I+91331PeHvh/JdJs2rx+/AknLYeT8OIOgs9qmP379y+LXvjVd+B9NcIYbv74lNMGuERaxhXRrk14ZrV6PNd2Ja82Td546623a4G8zR6/k1+mNW0DzKshHk0bxiNpj3ezizX32HmgySAisTNIl33yyfPPv9BkvRa4s13K3by6eJbaBExgirASzpU2KyFYU++Oqrv+5W/+drVr1+7G4JdlYcQ3X9vK/75leJ98SGT61Lt920qZT9d3du/IZjXKnEnq3QgL5XBM2qJ9Mcr0bSOV7iMUBzeE8CazUoI17WvKpPCv6fp33/qH1vZdU9iOxm+Tplmf9+uFF17s5JUZXn7FVRPjaBKsV6of1LdMHBWZtvYE9vqWibjRpx3Wp0wcFe+m+0zquuWuB5ZXRYfQnK8XX3Njk9X6t3jup7/YVL302ublD9uIc++6m+9utesNCUigmcCaFKxvuPWuWmC+675HGmPFrJibbv9ldfr5V1TfPu60+tnv//ic6vpb7qo+a9mK4e77H62fu/G28QsSOrkM1jV9csXHLNOmZx5//FeN4ffHfgS6BGtmzTFTng+N1bVicn5yhfVaSTXDKQEJSEACG4UAq41j8C7qbAaVYkVT/MZg7Hvvvz8TWPbu2zckViNOMyhZio6ssC0FTlYQRrxYdRhm2oEa+IV5/FdPLLuNH4hwrG7kUwp7beJnuDXptS+XW2+7YyDs5ANWiLO6ugx702oOxJXgOupaCtasRsh28I9V76RfKQScd8FFQ2juuvuXA/Zxizwcg8HhNitUS8MqkGiDx3P8T35iEDl+4woTdkTKpi83VjZmP4gvgiqrysvwk0e7DHHJdkYJ1n3SrG9ep08T8YbhappyQsGsCtal4Ew+/MbffbtegZvfQco5Bimz4b0Inlx5nneX9yjb5V45MQCxonyGcg275fv3s+t+nr0d+3vbAHPUP/izUUyTiMFKdnZUyGnI96YdPMr3lklTlFe4ke1TFjQJUfkZyoxsZqlNUJYxq5FH+grW77773tA7QjqWbSiYU5+W7ZHjfnjiQJrFe1u+d9hvmoBQ5oWctuX3st7tmw/71Ltl2hLvSdpKTDIr49f2/2oL1pPWu/G+nXr6mctxGCVY920jhZ9xffiRR5f9hltTOcGzKyFY43bZxqJuIe9SduV0Y7v2WTaTpFnf96tsW2ZO5fejLVjnflDfMnGc9G9rT2C3T5mI/T7tsD5l4jjxbnqGc6dDdG67jiNYt9lVsG6i7m8S6Caw5gTrbZ/sqLfwPu28K6oDDSsDPtq6vfrRmRfV4jOrpsvPd088q+KZ0tDoReBmi/Ftn0y2NXjpFv/nzuqsDEw2hXM9/hYNOdJgvZjcmFKwXi+pajwkIAEJSGC9EEB8yHU1g4hhGKjKu/KUK4njuSN9ZRvwCDMD8szkz4btH+M+18ceG5xoybbccT8PjiEAPffc8yM/nJ2W28sPPvRw7T0rL/LgG4OkeUUVg3Z5VRxbv66k6cOFsOc4IeyyKjUMg8N5AJ7vpSE+cGXglW0+uz7ZbdxhS9xIE9xhW8IwbCPJ6ui4zzWLxqRbXrmDKJDvs+1ltstq5myYtBD3EQlYaZoNgkZmc9rpZy3fXgluIdgRBraDzVv5siVkcOU+K5CyIe6sjLzjzk01oxxOnh8lWIfbk6bZSuT18JtwlqJZjmPf70yuwI/8mUXBmqMCchjZCjgbyrk8GSGXXdu2DYo3x/7whIH39/PPdw28Y+STLFB8/9gfLvuN2JZ31CCP5TITu7lcy2Hs+t42wBz5fzXEyK7wHK17vDs5HVnliEgchu3S2eY78gK8s+F9j3tcWVyQDavystjJNtOlCfuMPZRmVtoE5M/MiTCvRh7pK1izO0vw5N3hXQzDSvVyIkkWjUsRMotO5JNnnv31UJsi3I5rlKPTlOGZ76T5sE+9uxL1B+2w4H7DjTd1tjdyWQe3vmXOtPUuR6HQxiadmWQZ4ec6SrDu00Yizmz5TfsWVtmtCEPJKPLXSgjWeQcB8twHW7aE8/UEjh+ddPi4iKYyafnho/Bl2jTrW84T1VzvUid3talJp0lN0wpr8naffhBh6FMmjhuHtvYE9qctE7Hbpx3Wp0wcN95Nz91w+721YH3WxddWL7zy5vIKaVZLX/bTm+t7XYI1gnSbWM3vCtZN1P1NAt0E1pxgfd3Nm2oR+pXXh89/WlhcqhCkEalPPOOi6tkXXql2fvpZ9elnu6oXX3mj+tGZF9f3TjrrkupgA5dX33irvn/9zZsa7k72Ux7omFSwppB+5dXXqkcefWxgsCVCwH0a5gwcMrhHhysPSMVzo64M5Dz76+fq89xyB6/NHqI+AyGc6cXADStaxrGHe33DzIAZYb39jjvreOcGWhnelRCsCS8doU133V2nw7TnTtJopUHN4Eg5E7gMd9f/0QjmutKCNQ0z0pKOJqv+CWse5OsKF/FjljKz4LgyINhm2rYE37FzZ+13X0Zt/vq7BCQgAQlIYLUJZKHv+p8PbxlGfZkHv7OQsVJhww8G2RESEZdoK5WCZvYrb2PYNBjPswh70QZh0CebPAg0za41eUUUq7XD0P4NP+GK0Foa2i6ZeT7LtenZSdo5fbjQlomwc21qF3300ccDz9DmzCYGvxFbJjU5j5UTDHALv/Lq+bzC+8abbl4OF880DdxxNnLEL4uVuJv7PpxZ12TyZIA8sNyXW17lhNjR1I6lbxVh55ls6GPEvabrKMF62jRbibweg4qEe5QAShkBK865JO3HPQeefmZ+34JRzgOZZ/7ep58R7vAeUbbRN2MAu8vkrY+//s1vNT562eVXLqf3Md/9wfIzedcIJso09d2IT6Q3HKLs4/fgwrWtjP/TP/vL5efivMvlABRfEOqY+JHLiLYB5ibxiPcAQQoxdpLJDNQbr7/xRt0Pxi5xyWEogjnwL2MDvP+kV1PZPfBw8c8kdVgW2ihLmvIFYc75lvPXw+Sth5smDvEckxkiTXnPShP3clkWz2R/+7YJJhkHCf/jSj6OcMZ1HMEadpOMN7UJ1rRDKD/JD03lMuFkV5MIG9e2cilPQMjnKXPWfNjnrNomw2rFeIa0KU2805PWu33zYZ96dyXqD4TX4AKjSUzfMmfaepcJaRHm8tr0LuY49Wkj4Q7nLpd+5v8pw5pMrh9yvcnzvDscb8OEqDbDc9mfpvFlyt4cv6ajfLL7jG/SDkDAncRMU6dPm2Z93y/ixS47sBun3BvFgbhTH3IN0yRYx71R17Z+UN8yscnfSdoT2J+2TMRun3ZYnzKxKd7j/nbdLYcE56ZzqrvuhfsHDhysPty6ffnc6zj/+vwrrq+FbAXrIOVVAuMTWFOCNZ3GY08+tzrh9AtbY3j/I09Ul197U8W24KVBuI4V15/s/LS8Xf9/4hkXVsedcl5jB7XRQsuPedCmqUER1hAIo/Fx2+131mJw7uAwgBOGTh+Dg7khEna5shKCmVylQXSN5xikYCvzcqsr7rN9UJswi0gdjdJwK66sGkJ0bDLThjncosOSVyWFn1yZUcmM2TB5NU5+ju+x0olBXPjxoaNaGgZk/vwvv7bMK7uDEB7ulPboHMWzNGCoaEM4j9/JE2xHN26HP/sRbnBdKcGagYu2rV4IKytl2vwiT9PYzuGK7wwCNp0JlwVrJlnQuaRTEfa44i+rf5oGHeDB9voMKvA5/8KLMyK/S0ACEpCABI4KgSy2UY+11fN59R3b4WFYwRf1IHabRAUGjbkXn1tuvX0gnmyF3NZWYsCB+pbBj9LkdhODyU3myqsPn2f8g+OOrx/hXLOmtii/fe1vvtHkzNBviDwR73K78SwadZ31mgdE8oqq8Gzads60XPAXcSfiRZq0GdIynsuTTmk3x++k2yQGUS/s4n5bWyqvCgqxDX+yUN/GvRw0jUG7vA08ea7N0K6MMHKNd6UvN9rX4W65TXMOy9nnnFedcOKPqzPOHGQ77cA5bvdJsz55HSGqfA/5n0/JgHY57fNglK+8s1nIy7zi45jTmgAAIABJREFUe27zZ6EvD7zHs3Gd9v0L+1zxq6k/xTbouQ+Y7eR+dLnKP54jH5MP+Nx8y23xc11+BZu2s255OE/kifcUxmG3693PkytIw9JQVlNX5HjzPlNO8p6MI1gTv6Y6gbzB5O82w/uYV/FFfLjCNYuEpRsIH03jC/TXu1jizjR1GCJwhC/qpjJM/J85IH6EyUJBW3nHRKfwg3oBAyPKuLZ3j0kVfdoEET6uk4yDZHvxnXIgwp/HkAh7m5l27KYUrBH7S0aEhd1RSiEt1x/BuSl8ubyM947nKMMinrlOK92IZ7jmySh9yvC++bBPvZt5tOVhGHS1lfIZs1Efl9za/o+xQdJ5mjJn2np3WvGzbxsJDislWDOppxwHI1/yG5PrSpMnz3TVu2x/HXVb08QP8jrjluW7SZnGe5R3NijD0KdOnzbN+r5fxIFxQ9hytMe0hjHI3DfAvX/5m79d8Q6ygIz/+YyahJb97+oH9S0Tw59p2xN9ykT87tMO61MmRrynuXaJ0l33RvmFAF6vsL5l/KNnR7npfQlsFAJrSrB+74OPasH5ptvvmSp9lpb2VMeccGbtxpaPBs8ZCgd/ccc99X386mPyQFSXYJ0rOGaBR2UX1yxYH/OP3x+6H8/la+6MEQcGNuN+zDCL/8srKyrKTkSuTMvn438aPczELs20YcYdxPeyMRX+5Ws06vKKkXyf78x8w2QWpeBJwzFXrqUb8T8d+dJkMXZUnGlktg0ilu7G/+E31zYROZ6Na94iiQGObGi8lI2u7Ed8Z7CELXyywf9x0qUcUM+MmgY0wk+uf/uNvx/oSIb/eWC/bdVEPOtVAhKQgAQkcCQIMEARdVjXQBKrjOK5GDhhRQUDRfF7KXQwqMqEwrjP99yGYFAjtznjufKKMFKuts4rr5ho12SyuMnqWEwe/Cz94Ty9UQaBNrcj2CY7mywGle2X/FzecpVVi9n0aedMywX/ESuCCW2opgHgLIKQdtkgsIX9LmEp28nfc15gJXdpWKmX81tuu+c0aRP6cC8PsjKhFZNXwTSJcBGOUvAmnTB9uWVxjy07JzWkE+9S/uR80LXCuk+a9cnrDJZGXimvrIQPk9+T8rn4H35NuwHgRh4wRizNYlxbedfn/cNP0hC3I3xt17ydN/byeaz0gyY1lMvhV/Qvm9xgVXY8F5OPsqCAGNpm8krP8v2nbMxhCD/yNb+/eWeJEI94Nr8P2W58/+73jxsKHv29rjwVdssJ39RReeeFeK68IpKUdRCBmLYOY2UofX8+XfVE7tvnlYRMcoowtvUp84Qt6kIMeTvsNV0R3/u0CSJhJh0HCXtxZRVghA/BBvZRxnNtM6PGMcLNcrwpC9Y5j8bz+Yr/1INhCGukZbxPcS9fGR8Id/LkCSa7h/0mkQ43SPuwS57Ipk8Z3jcfRpoQtknr3T71R8Q/yln4TWr6ljnT1rukca6raYdE2tI+6TJ92ki4S92U/eZ7TkPaOE2GyX0RxhyG+K28luNoeZEJC56mMdQ9uf1W+sn/vLtNdV/fOn3aNOv7fsEp0odyYlJTL5hLE4ubmOU6ZlzBelQ/qG+ZSDz7tCf6lIl922GRXrCetEycNH3z812idNe97EbTdwXrJir+JoHxCKwpwfrp516qxeRnnn95vNgVT915z0O1/R+een7jluA8jtuswsavPiY3RMYVrHMFSIeRlb6xcpmOWNzHbTqLrFJlZuIll14+MKOZGWzZZJE23KBRymxnBmDKmdR5y0cakjkuzPhmZjiDFYQpd2xj8DX87hNmtrTJnW0aV8STTiDbT+fGVjSw6SgxWJDDy/98gmNmkQVr4ok7wYcGOPZgjGCfG4k8E+csRlyzGBtuMBOeWY74mQd8uV928sKdtmu4yZWttxGNR32yIF125HOaE2/yAQ0C0vb0M84eGMw859zzB4KVB/AYWGdAlfxAZyF3JEkHGkphmhgxQEB68smzo4ln024BCtZB06sEJCABCcwKgXwucNNK3wgnqxijPs9bEuft5LhP+yNMHjCnXs0rIRmAzhPA2GknjiFhy19WnYV/XMsViVnIwm3aKyFa0S4qV5LE6m9ETsKY2wOs6OC3EDAj/E3XfNZxbnPGs/l+12opVhRF/BDys+nTzpmWC/7Tfs2DV6wUyIN/tLXySte8HTH22Qko4kTa006KQWHcJY35vUn4wX7eMpV2INuCk5aY8vxd2tIx+YF2cvhLXugyhCmeJZ9hGIwk/fk07bIT7nE/7OZ3oA83JtqGm8QZQ76hzYhQw29wYRvoti1pI3z5mtu0XYJ1nzTrk9dJW3jm/gsiDr/FhGcEzWDDlb4Jz9DGpi+ZBwabBnOzfTiSTuMI1n3eP9IgcyE/0hfhDHXCnvM4cYo8iL28qxjlH+nNADLCDuGn30p/hLPKm0wwhWG8N+VzZZ+RPgyGndKCNf3lNsNuFvEc1/wu5zKVe7hDX/KKK68e6PuG/TbBOu5zTjx9O1aRk/bxO9eyL5r7YeQLjomgPGfb4byNOXbzZJgcb+6Rj3gneGdO/NHJA34ihmbTtw7LbjV9Jw4RZ96TKO94Ng/I8wy7L0Qdx33GFch7YZ+8hUHAoK7MZRljFvzPh3K2b5tgmnGQOnBf/mF1XIyVEIc4Si3ed65Nps/YTRasgxmTRpgMRx6iPZF5luNGTeHJv+Ww4X6efJCfa/qOWMhkuggXZUA2fcrw7E7b97Z82LfezeXktG0lykW4MH7IxBPGdhAtSSval7CK+qSMX7RNgivXScqc0j3+H7fezXZz25p832Vy/UHcx20jdbmZ23zjCNbBC3u05xCgWcGb63L45yM+cruR8TXqEVhTrnOPuuOU085oXdhCvZXdoMyiDYDfTEaNVcgRtvL96lunl/wmSbPSbvl/2/vFc3Nzc8vvPW0CPvQX4Es5yFEPTMLNrLP7+fgQ2DCmyxg6Qjrt8eAV13EF6/zuNvWDchjavo8qE/u0J/qUiX3aYX3LxDZW4/zeJUp33RvltoL1KELel0A7gTUlWD/w6JO1mPzG5nfbY9Rwh7Ot2SY8tgN/6PGnG5469BNu8xx+9TG5QT6JYE3DKToV2f//9LWvL1eIdAhKQ0M8OiH4nU0WaalMaQiWAzbnXXDRsvu5A5FXTJSDgfhBRzPPoo2tAbnXJ8x0zKPix/1ytiwDqm2MQ+guORCmzCIL1nnLLBrnNG5Kw/aBESYamJlhKcaWs8/pIOeBgnIrwtKv8v/wd9prKVjnNGs6LycPptAYC0MnPbhzbeKUt3HJebVkVIYJP3KeaWq8MehCo5JPV8cswutVAhKQgAQksNoE8lEieXvZ0l9WZkQ9XrZR8gA39+i00x6M57mWq6DZKjzu03ZpMhdedFjUvfSyKwYeoU6P1TXhDlcG/KJNGb8zOFMa6um4P+6KDybdhR3aIqz4LU1uAzKJrs3kNkMWP3l+2nYOdvtyoe0cbaWIKzxDQIjfEM/KwU0mZ8b9riv9hbw6OhiRb/KgJG4QltJvwvPiS4cnAGcRknZ0l8kDlwy2jmvoD2UuuJPNtNzy6mzarOUk08yR9jttyXHMuAPnfdJsJfJ6PsO6FFnZfjfiTz8kC3YwyCvTeGeyQTTLgkSIFjmvtK2w7vP+ka8jzOSXpn50Lnty/zSvmmUQO0+sDjfjiphGGTqpKScCxU5UTHIOt3OYSvcZ7I7nuEYft4w3k9Kzod/JVujZbptgDbfyPFr67FmUznUGk2qyu6WYTTjyyu/Y4pswZbGmaWIHEw2y23kHhL51WObDd/qGbBWNKFWKP5wRW5pSjCCc2IuxhAg3fVjqhdLE/XI1f982QS4XeJcij4T/XeMgPMMK+ghbbjdEvc61yeQ6Nffh49mu8aZSsGayRVneMJkp1wFNfoRfvE+85wg75NWID1e24R1lKAsQ8KgTIt7YJW3LI/D6lOFN4Rg3H+aydJp6N+eTadtKOT0y4/I74mj5DuT6YdIyp4kbv41b72b7k4if07aRsn/l91wGlm26eJZ3JzNFII4JovEMdnNbjQk/YSKduOZdT7Kb8b3p/chjnZRXuRzGD1ZQ5+MTSO9s+tTp2Z34PkmahZ24jvt+8Xw+qiP4NF0pI2LyWfgDkxzv2GUq7nNlolN2bxzBepx+UPYjvk9SJvZtT/QpE/u0w/qWicFqmmuXKN11b5RfCtajCHlfAu0E1pRgfceXK6Q5wH5cw7nVp5x7WS1CH3P8GdWTz77QaRW3Eazxq4+JRgUVWFNHO9zOW4LzbDmbLZ6jo8QAFA32cjAinsmNxtygzCItlXHT4GCuHOiohaHijkqYzneeBR7PMEudTgmfLGD2CXNuHLR1ZvLZU9FxJkzRySQNSpNZZME6NzQ5g6vNhNswYbV3mCzGMputySBiB8umVQxNduK3sDftNYvD5A0GOslPdAKbTG5U50EXxO0IA3zLDjRu0TCM/JBX2WRGbQNceTZfOQu/KZz+JgEJSEACEjjaBPLZbOUOLGXYog7lmttz1Lu5jcEs/ixElVte4y4iA3U5n9wOyn7mQeSmAU3CkAfIcvjiO6JXDmu4n0WjcQXrPCDWJu7nyZK0NZoGAMuzD2k3hunTzgk3+nDBDUTR4Nd25Sia0uSJC2GPdhhCQplOxLlpVQg78ITdtmt5xnHmmYWsMnz8z2rXcLdr+9ZsFyEr941od5PnSzMNtyy6Rri44h9xyX2KuJ+FvjIM8f+4A+d90qxvXiesuZzI7yn9z4gv16YJqtinTxDP5T4ruybE7zm/5D5jU3u+7/uXJ9E0TZSJ9MnpGuGmjIsw5yvPkhdyHuQ+ZSerUccxrOTPYcN+5pLPfORek0BKGmTxjOdiono+tguxvcnkbY2xm/NxHge46prmiSR59RL2o2zNQnYWSXIY8mouyiMMqwJxhw/hbzM5brmuWok6LPuZBdcIF9e2FfXY/dFJpyzHIduJ75RVwSn7xfd4phSs+7YJct6edBwkp1P5fkbe49pk+ozd5LYG4c8T+7NfecIH28S3GfJJ8M3Xtu3bS3cyw2w/yor8fJ8yPLsT38fNh33r3b71R1kewIn8zoQLJjiV5WUphPYpc4JVeR233s32JhU/p2kjZf/K73kcsa2syGNrcEZ8bDKIsZFfafNhGH+N38or9XeenBP3c/uaOjnefe7neiOHIU+SJU4x4aRvnZ79iO+TplnY4zru+8WzlP3BJK4www3a1vFbXBGTw9D+iN+ZYNBkSJvMfxzBepx+UJNfk5SJuc6dpj3Rp0zs0w7rWyY2cRv3ty5RuuveKPcVrEcR8r4E2gmsKcF6mhXWN9x6dy1An3TWxdXH2z5pJ/HlnaO5wjrORhoZyPQAAxM0LphBGhUqVxoWYbJIW249GM/khlDuxJQdY2aqs91V3uo53Bj3OirMZYMui+DZDxqEbDHFJ2/hFQO+NLJLk1mEYJ39y2J9aZf/84zpfHZSFmNjy7DSPgJ3pBEzvycxYY8rYcC/UZ/cyciCdZe/sKABnbcwz4I1dnOjnO9syZm3hmtzPzPKgxX5ebYojLhOyii743cJSEACEpDAkSKQV/HR2e4yUcdxzeISdtiyO9+P77TL2gbB2vxCGGF78CxyloI1K/CyWIV/tB3y4EuEAbGnbI9NKljnGf+4l9uqZTzyrjQMPNP2ZCUtE+FYQRfhimsM7JXulP+P087py6XpPFfapk0D6KUgl4UOxIZSTGMiaW7flW0lJkzkgUn44G+0jYMXV9plYWhLxz3C0GXyrkz0P7oM5zuW2yYSniaxflpuiOER9rjSNs3vF3knt1/Jf6PMuAPnfdOsb15vE6yzgMR73mZY5Rr9Kd4PTF4Vy6rebEYJ1vnZ8vs471/Oq+UKtOxePr81VpEyYTbyAFfeBSbDZsMW2/kZzuXuMgzac0xAfu+wz8Tasgyjb5nd5n92raJvxaq4nAfjuZh0ksvdpgnBEcY82J2FhyweRTqGnXzNq+5jl4Vst+QVduEQ+STElty36+prIp5EfMcVHMepwyJscW0aZA9/GbTPZQKM8q5g8RzpUKY1+ShPwg7/wk4pWPdpExCucJdrWe+G303jIKwcjvKfcjbyVtiJe1wnMaPGbnArlzdMAmgz5J2IH3m5zTBmU6ZD2GNxQNc7gptMRonn8xU32cY+m75leHaL7+Pmw5Wod/vUH1kcgks5yQbGeUwIjpytGyaXG5OWOeFGeR233s32JhE/p20jZf/K77lcb2ur5/e6q/1BOZvzPX5RFuY8zHcmGWW/+J7bArjBhATMtm3bl+2TZl0m17/jjO8Rr1Fjh03+TZJmpf1x3y/s5aONKBPymDH3aRvmsoL4R7s7b9udjx4pw5OPJxolWE/SDyr9maRM7Nue6FMm9mmHrUSZWHIb9/8uUbrr3ij3FaxHEfK+BNoJrCnBetIzrJFsjz/tglqwfmbMM6mP5hnWPz7ltPaU+vIOAwh0kBERmwa+ojGTO9BZpGWQr81E46jsxOQZWuE+VwY/6PzREY8ZeE1uTxrm3JGhATipiYYW8SlNZhGCdd5KEDG4y+StNdmWOkzusDdto8ZzNPCDHx3kSUzY48qs0HEMneew1zSIQOeTgVIavDScoxMbduJaCtZt2xCRVjQg6bBGQy+HMzPivKAmw2BA+Dspoyb3/E0CEpCABCSw2gTyNq1t9RthyANWTW0Unmla7TVqC2MGs2jTIEQg3EZ7LurTuJaCdR5spO2UByuZyMjksuxWufPJpIJ1XhXRtHVsTieEzrZ2ScQnDxIyUFeaads5fbjk1W2Ek3OUs+jWJOAycBeG1cKI87RXc1s+7nPN4g9+kFaYcrUUZ3bm1WSEg7Zr8OMag3C5/dW2kiTCkM+lbTuznbxe+oV/7BTAStXS9OFGHHKc2lZ9I5Ln53hvusy4A+d90gz/++b1PEidBbm8XSxxGdcgUsS7x7UUhsYVrKd5/7CT04i+Ztsnl030zzCUUdl+284PeSvorsku9OnwP7sJk9vvGBS8gi3hz2Jlthffc7j5jfc8TxznfpfJ2z03CdaEr8vkOiZWHucwte321uRmXqFGedyWVnnMAoGtNNPWYaU78T/b3TIJuhzDyFu65p3aiD9CQ5SluMN7nYUM8kl+v3gm0rQUrPu0CaYdByEfZZEh1+fBJb/X8VvTddKxG9zIgnV5NFr2I7eDEFVGGbblpcwpF2eMu9ADIY9JGHlchHSDc5i+ZXi4U15H5cOVqHf71B+0Gag/aevBuMkwppPfAyaWhYm20jRlTrhRXsetd7O9ccXPPm2k7F/5PbdFs4icn8v5ftR4I+NyUbYQZurg+J8r5W7T2CtpFe84z0U7m7Ig228rp8u6Lq82Ji7T1OmZQf4+bpplO+X3Ue8XzzP+ygQVJp21LbhikmrmE7to5vI0lxdlOPKOpKME60n6QaU/8f+oMnEl2hN9ysQ+7bCVKBOD06TXLlG6694ofxSsRxHyvgTaCawpwfq9Dz6qxedf3HFPe4zSnf0HDtRnV3N+de6ApEeGvt50+z21H/jVx+SOXx4sKt3MW4J3icnMfs8DErlS5Xv2j//zIFcWaXNHrQxLuFE2OmkQcT5H3C/95n8aalRs2Uwb5rwVTjmrP7vf9n1SwTqvzGBgscvkbWXywG0WY5k512RmSbBm9lpwakrP3NgtBWvixiryPHOvdIO8Up5rOA6j3EhRsG7KRf4mAQlIQAKzRiCv9CvPQMthZWZ/1JfUwU0mi0E8y0B/OUie7XHOWFf7LN/LgjXHn0RYuGbhI7ufj+rgOQZKwkwiWOcde2hjdMUp3EfYLFf3RJgZSMoD5OUA4LTtnL5cclv9G3/37YjKwJW45wHJNoF1wFLxT26nxYqnfJYeA8xNkwdxhrZucAyhJW+Rid0uQ7zCPn2M0jCRtWxj0mYkTdpMH255ByPClScIlP4hxkfYu44Awt40A+elf/n/pjSL+33yemaX36u8yqXcyjX8bbrm8oxzxunf5U/eJpP8E/ey0Dnt+5fPNI50Gucafei8Sp/B9zaTxQPcz9ywQzmXBc0IA1sYtw16h1+4xfmfYSdfeS/yRGnyBGacuiHcz+VuLrdDPBolAuYdEhCqWIUbYaS+yGMI4WfbNQvR4caoK2dhZzNtHZbd6Pqe34OYnMB21bluZJJQk2GFYX6OXUuyibhGORr38js0aZtg2nEQ4hDhoX6J9zJfc1zid7ZlDzPt2A32c31crmAO9+Ma4ST/TGLymA1utImDTW5SH+Z6l3wxqekqw0e51ZQPV6re7VN/jAo39/P5x3mb+WnLnC4/p6l3xxU/+7SRusI8qWDddiRf+MFkw3hHGEemTI7/uTYtRAm7LICKZ4kvhnI+fpvkmhfhTFunR7jK67hpVtpr+7/p/Wp7tun3fNwHR11gcrqWE/eyG3lr/i7Bepp+UPan6XtTmbgS7Ykmv5p+ayoT+7TDVqpMbArrqN+6ROmue6PcVbAeRcj7EmgnsKYEayrr4045rzrxjMMz+9qjNt2dE06/sPZjks5ak0+5Q9BXsObM6VIcZMCFzjCdE0S+ffsGZ3Tn8A8I1lc3n2lFHCLM0Xku40XnncYKZ5pFAzU3erDPDDVMnzDnDs+4s2dzWGOQjPCUJrOIFdb5vLxvfeeY0srA/4iwEWe2fwmTxdg33ngzfh64zopg3TQYxHaNrE6gU00a0pGPeDYJ1kSMPEbe4yzDPFgW9rjmFQjjMFKwHsgy/iMBCUhAAmuAALvNRN2X2wZl0BkYjueaVrEyQbBcBcTzIcaU7nE0SbjHlfYbg320VZgQuX379rrdFs9kwTqfPcr2ml0mD9rkNk4WTtpWMoa7HEkT4UAEm8QgqDAgxA4v+BPbnHJOa7iJCBOmTzunL5c8eJOFgAhbXHPaTdPWzfkkVvXnATdWkLaZPGgWbWX6EcGS37om+pJf4tnwO/wqV3/jFoPdpSAYz8e1D7c8wNXWhwl/clu0TaSKZ6cZOA+7TdemNCufmzSvYz+3wTPnvBK+nERa+pv/L7dwj7QedUXgxfR5/3bs2LGct/CPvsk4HyZJYHL+GzXxNfqL+JO3PkXMzsIW99m6OIvDtWcj/tCXol9DPkOEjK1Ic38QYQKTt3wdJeLlgfkcptw373p/84QV3t8s3kd5MCJqy7fz+ATjA+OkVRZwczkI50nqMCZTMZEctl0GRrgdH57NaTAqzrkcKN+jcLMUrPu0CaYdB0H4j/BMco2JHX3GbmCaw802vG2GLc4jfNEOYtIRacmnbQv0cC/XFbz3TFAKu6OOZEFMCr+bVvqHH23XpjK8Tz5cqXo3wjtN/RF2u65M1AhukWY8P22Z0+VXft9ihXDX89wbV/zs00bqCkNuI7dNosjlLBMuu0xe6RyTRHN9lcv90p081hnHLzAeF+nHhMRxymme4YgBTJ86vQxf/D9umvV5v8Kvca5MHA1GlN8YJjjFb+xk0GayaNwlWE/SD+pTJq5Ee6ItruXvTWVin3bYSpeJZXi7/u8SpbvudbnJPQXrUYS8L4F2AmtKsCYa19+8qV4B/eobb7XH6ss7c/MLyyus+T7KvPL65tpt/Ohr6PxEBddXsM7b5NGJpdHQZHJDZjUE69JPGmQMHuaOQ8zg7xPm3ChiwKDN0Nlk8JUP236FCQ5NHdDciAvBmgZIpFUMHIRb5TWfmZI73HkALA/mZvu5czxqECXb43uEjysDc+OY3IDIMzHzigEGuWhAlyYP/rUJ1qUdBmborOat8PLZVOMwUrAuqfq/BCQgAQnMOoF8VEaX+HvpZVcs1+eISaWhDZXr+/yd+rE0eVCLc1hz2y+ezQMHWbBmslm4n3eMCXv5Sjsgns0DwuMK1ohouV381ltvZ+eHvvM8g9B8sgBXPsj5zRGuzKdPO6cPF/hHeLh2rcjIWzTG4OUHW7bU4gsCDN+7TBaKGPjD5O0LY6vvJjfydoGEM/JNXi3JKtAmU6ZlXm1ansHOLklMmhhl+nJri0+Tv6zEjzRihWGXGWfgvG+a9c3rhL9NsM6rqprKm4g7bffoTzFA3Vew7vP+EaZcVnQJrxH+fM0rnXIfJD8T33P/lUFSDJOG8nbOhCXOxw57Xdcot+gTtRm2Jo08iMgYJse7bXcEns0TRrJwkcWjrsH1nL7xXH73m/qF+MvvkU84BxyT3eL9n9T0qcNy+iG2thnuBW+upHEuq0btKJFXy5dCbLhbCtZ92gTTjoP0Faz7jN3APgvWHDfWZvLRDPFcLpcfeviRNqv173kyCWew511pusaNsJzDuFL1bp98SJjyuzdpvdu3/mBiI+0Nrl2GCQGR16kXw/Qpc8KN8jpOvVvaGVf87NtGKv2N/ycVrEnzNkOdF3VBfi7X8zFBq8kNtuOPtIo2f37nIt832W37rW+d3uTuuGnW5/2iPiZ/8+liRvjyGC8TqTB5h6euSbn5iJE2wbpsO4/qB/UpEwl75CHywqTtib7t2r7tsD5lYp1wU/7pEqW77o3yTsF6FCHvS6CdwJoTrLd9srP6znGnVaeff0V14CCnVLebx578dS1Af+vYUyu+dxncOu28K2q38aOvyZVEX8E6z/hqO+c6b/1BxRSDT8Qji7TlzOAczwgzDYMwnP3E/3zaZgxyzlE0jKIR2yfMVOjhHtc86z3CxTV3kpl9F2ZSwbr0j9n9TYbncqMJATrMOGLsrAjWubFeroyJ+ORtxbJgTSM48kMWwcMe1zyDlAZ8mHEYKVgHLa8SkIAEJLBWCNA+inYLbak2kS4PtNKhzya3EXCLARYEl3C33OI5z0LnmRBcspt8z9s3x+AVv+cVAbmeL+3zfx48yALluIJ1FgdGDSjjX26DjNPuhTkiRJg+7Zy+XPKKjKYzRCOMWUz8wXHH1z/nrZYR49tMuWIw2vx55SUiS5uhXxL5KlbX8Wxeedm2Cj4P+DOAmk2esMjg3ySmDzf8yQJ+ee5ihIN2fM7LTWdpx7Ncxxl4wJyLAAAgAElEQVQ475tmffM64cwD2cQxTB40pG8U+STuc0VYzX0bVuYgYjK42/ahbIr8Q9kRz23bdmhyQp/3jzBlEaRrUgHpE30SBuQxlL0RNsqFNvE1v0NZsMy7bmF/1KBy7emXf3JfPK9CzM+QBvgXYczHSOX3h3zRZMizYZdrm2BN37/JlPYjv7BNd7jLJKcmkydcxRFarKoOe7l+Ke1T3kVaxVhE3zosT6TqyidMao8wRv2TV6Bxr0vwzmeOkvezCXdLwbpPm4A0CXe5jjsOQtrGu9h2jXedvB3PxNnFfcZuYJLrBsrjtskmWfyKnVHypICufESeIezBh3Qr81HbO08Y83b4MYmnbxneJx8Spj71bt/6I9eHsUtizt/xPb8DeRehXFZPWuaE2+V1nHq3tDOu+Nm3jVT6G/9PKliTf9sWoOSJI3khTRZUY9FN+J+vLIqJ94Mj/DCc9Ry/8f607WLAam7aYpQTxCna1X3r9By++D5umvV5vxBeI97k9aY2EOGhzM1pSNmIOenkU5fttx3xw3O5b9cmWE/aD+pTJhKmPu2JvmVi33ZYnzKxTrgp/3SJ0jfcfm916vlXVWddfG31witvVi+9tnmsD89iB7u4oZGABCYjsOYEa6J3421310L03fc/2hnbrds/qX5w8rnVsSefW/G9y9x13yO1m7i9EiY3pvsK1rlx3bRyh1lTeYsbKuZcIfcRrFmxExU9nc0mg1gcz9DZwfQNMzNuw03OgSrNa6+/vnyf53LnJARrfo+OeNjPLHJj76t/8mfL7rFdS5PJM5fLQbpxxNg8GH00V1jnc3GatoxkwCUPptBQDMOs50gXOi9NJg8C5A78OIxGCdZ0qmnI82lbyd4UJn+TgAQkIAEJrCaBPImONkVpGDiK+pPBoDyYS1slrzSLLaIRgHJ7koHeMAwkhXtcm1bmIJhm+3kgOG8LjX0Gm5tMXimWJ6Hx7LiC9RlnnrMcVr6PMgwWRdzgklmF3dymOOW0M+Ln+tqnndOXSx5sZcCoKey0WbPAGuJUHsAj/iEk5MiRV/JEBiaWhsnb65LuISDG/bjmNnYehMttMPwPETDsMeiZB8GuuPLquDUwWbEtzZYfbvjShxvO5QkAhDG20cxeEd7IVyFc5fvl9xymtq1J+6ZZ37xOmNsEa4Sc3CdqEiKvvOqaZSZwG8dkYZb+Z2n6vH+4lXc5QEhteofyueVleZrFlVxmRjjpI+eVUz866ZS4NTBA3Zbmyw8XX3A38hfXpgnQuR+a+0g4lXfYQDRoEhWY3JL9aBOsYdIkiOQtSRGbw+Rynvc396t5hvcJN8PvOI+ec+DjN8qcpkkgTHLKdqP/1rcOy8IngkrTKjLegSwmfPf7x0WUBwSKEC+Xb375JffdiWcpHkfcy7TEep82QS6jJx0HKeOQ/4/ygPQoTd+xmyxYwwWxpzSIorlNEruQZJGOsJWcw50sOOaJJrn9FNv5hp24Il5lv2OnvL5leN982Kfe7Vt/5DqOfJbHD4NbFtpI15Uqc8L98prDNG4ZnNOQsrPN9G0jtbmbxc62BT6UqVFecKXMKMcpeSaXV7ldnncSIB9TD5cmr6TmmR07Dy/CyqJzjNeW9nMZEP0Qnulbp5f+8P+4adb3/cppE23tMjz5zGXKyEgXdnDIaUZ9UJo8gY9n2wTrSftBfcvEPu2JnDbEadK+CIz6tMP6lIll+kzyf5dg/eKrb9aiM8LztB/c0EhAApMRWJOC9eLSUnXyOZfWAvOvXzw0o7ot2l/s31/x6TK4wSps3MTtlTC5QdxXsM6zvak0GHChE0xlQsWbB4+iUmVGeFS2uXMcs5qb4hhhzp2YvGUh99kWLWYhM3sKt3MnNGY49w0zHZWIC1ca0TTKiTcVeHS4uBfbSUWc8ixxOqCEKTremUUWrOlAlf7RKGGQhK25eDbfL1dG5YHT6IhHeOKaO71HU7DOswWZbcggOoOQTAIgf+T0JM6wRoRmYIGzkSKfcI8JDdEwZ9sdBO2cH/Pg+DiMcgOliVGecRfn8gRfrxKQgAQkIIGjRYAdS3I7gbYJbSHqtSzA8AznJGeD4Bp2qWPj3DieyTPdeSbaWdzL9S2Ty6K9QxsluxluM4AQ7SHs561veYYBFdoC1Ou0ZVhlG3a50obKZlzBmoG5cCeHP7uVvyM85JU/iGIhvtIOzAOa8MqrvnGnTzsH+324ZCGNOLMCiXyAeEQcGNzKq4kZdEdUCZPTlLixfTBtegYeOUcys8T9LEqRbnlwjvYcA7S0YxGSGHjO2wljv+yj5NUsuMWqSvICk1PzQCr3oj9A2HP+5x4rxEd9sljelxvt9TwJAAEDUY2+CqtYWakfeZBr2yrsSAeuOZ91DZz3SbO+eZ1wtgnW3MtnVxJvBjEZfGSwmzPgc5se0XIcM0qw7vv+IY7mfh4D7ZSj/E5+z2fXEyfyaDblpBP6E6yy5R0in+V3gHeE/ksYVkZHPsHeqDzM/SwqZCGcd5u8hwhEuZu3DcWPsi9J/PL7Sx6mH45wjUiUV9hFGNvEI+5TzlDX8P7y7ufdNrifBXXenzxZmTzNFqgwo/+d8xhpQ1jD5IFpwk95R5jpM9Jnz3FCxM0mvzuT1mHUk8GBK27xntKnp8wj7+cygbyeRZ48oI/9yCeUlewyQD7LfWL6saUJ/5sE61wm8twkbYI+4yBlGPP/8V4Rr9L0HbspBWvi/L0f/LDOD5Q5TJjJPGOVPuHgHcn1C89Rd9EeYbwLlpw5Hby55m2ss7jDPcpudgCEI+8giw5yWYdfMU6G/zkfTlrv9s2H+D9tvdu3/ijTnPKL9553gHGrvFgDrkwYyCavsOb+JGVOdid/H7fezXaywNYlWK9EGyn7G99zGRfjYnEvrtQBMMof2pocr0A5zvuT6x/K/9LksbRD78jN9fExTMag/s55PK+Ex50seBMGhGDKSt4D/GcyTw4b5X6YvnV6uJOv46ZZ3/crh5340RYkbqQT129955iBeJdtvVy/wfe22++s25XUn2VbBPfbBOvcdh+nH9S3TOzbnuhTJpLOfdph2J+2TMx5bNLvXYI178ktdz1QnXbB1RML1ti5edMDA3XOpGHzeQlsVAJrUrAmsbbv2Fl9/6Rz6i28H3licFvFSRLz0Seerd3ALdxcKZMbDOVgUPaDxnY0Ds48q3nVCUJhruTi+XxlYC+vuOAeDT5MFmknFayxX67exu0cvwhH+IedvmHGDSr8cLvtSkcUsTWbPEsu7MV5SJlFFqyxn2cVhr2ma9P2lLkBOeuCNQ2/pvTLcSW/5U4+9+g4Yq75yU+H0qXJPeznwcxxGClY55zsdwlIQAISWEsESnE516vxnZUKtJHCIJzFPa5Nu9nkgVoGxkJgQZDLdpu+58G/uM9AEQahNwaw417bNa+2iLCPI1jnrQhxO7cLwp2ma9Pgd1PYGMguTd92Tl8uedVqU5jzb3lQkHggsGaxPj9bfo92WY5/uSKktJP/J5ylIe55tVp+Pn8vz/PL2xfm50Z9z/734YY7CIBN7dEyDIR1HJPfnXIQM9vvm2Z98jrhyGJiFmG4x6BnjkfJIv5nUHZcM0qw7vv+EY5yd4gIZ3lFACWOpbn8iqtGlo24BfswiD+l++P8T78zDIL6OHmQsrPJ5GO22vzOokabYD0qDE0rzaiLsqDY5j8iYjak9zj1CHUXE6Cz6VuHjZvOxAWhoTR5gkFbfPmdsDeteA87TYI1fk3TJogwTjsOEvabrpFOpHNp+o7d5HJsVP4jD5d54dlfPzf2+5dXykc88m55kS5NV8KGUJdN3zK8bz6ctt4lDpl7U3zjt6a2EvZzOy6ebbo2pVkWrEeleVOZk9Mgvuf6qqvejee5jit+8mzfNlL2N75PKliPYsX72bRrEmVtnvDYlE78xiSvPBEywomI3WYn/85EhWxWok7P7vF9kjTr837RJsorxHM8y+9NR9nQ3snpW9rh/yyuNgnW0/aD+paJfdoTfctE0njcdMvtsMgnfcrEcGPSa5dgHW7NzS9UH3y4dehz/hXX10L2VdffNnQPOxoJSGA6AmtWsCa6FBbHn3ZBvTr6pzfeXn2+a25sCrt2z1U/u+mO2i5u4NZKmtwQYYZRm8kVyTnnXdD2WL0qo62ypbPODGhmE+eOZmwTmGfXIza2mbDLQFk2DIzmxmNTRc1KHs5By4aVJNOGOdxh8Klt4I5GBfEuDQ2g6JBFWEOwziyYWV0angsOYTeupGlbwznPem877yzPbCxXhZfhKP/P+YlG4zgmN57yLGTsssKgFKSJJ/4w45LGHVtlRdy50unGMDBUzkrPz/H9z//yawOz2LE3DiMa5+FWEyNWzMf9pi3S6gD6RwISkIAEJHCUCLCiLdfZUWdxpR4sB5HyqjZ2iGkSXxgwyW5ST4cpV1WEf7SdQtDM22hyn9UYYVhlkLfcC/txxV8mO2aRPezmCYJtKwbyTj1NK0bCraYrq5Hb2oC0YdoGYHGrTzsH+324YJ92V5fwi8jYNqGVdmxXu5sBy6atCYMh9/Iq0kjLuDL4VgrOYZcr27RmUSzscaV9Xa4MxU45aTbb6fqe/eV7H27YRzDMAm72m/Z908BYGYb4n3Zm2GeFeZfpm2Z98nruazVtn024m1YCETfeb9r0ecVsVzy5x0BmcGnaDYln+r5/uEE51ZYPSUt2hCjL0xx2BnvbBpp5N7PYi71JhIyIP9dyJRsTl9vCDe+8lX4Ob3zHftmPDf9YjcduZ/E/K4HDxApVVkZRHjeVnXBrK6txh7qmLezksyYRBXusHszvS4QvruyKFbtkRHjj2rcOQ/Ru67vjP/3hfFZ4+MuV/FOupI4wx/WYf/z+8iSxbJfv8Qx1d5uZtE2Q3ZlmHCTbL79HvoJXk+kzdsMYSvBgxTPjUPF/vjI5pq28YSwrr+zL9vjO+0xZ2WRoO5Urgkv75NGmbetxr28Z3icf4v809W5w6FN/4AZtxbayEoaUtU11y0qUORGHuOZyZFS9G3ao9yOtx2ln9m0jhb9xjfeKMCC0NRkma0YYWfXbJuYxCYByuM0wsYqdC8Kt8kq7vKm9Hu6xU09T3YA79Eeajg7B7krU6REGrpOmWZ/3i/qJXR9zPypz4/e2MV7CyuSaPHE42yUt8mripp1q+vSD+pSJhH3a9gR2+5aJuDFpOww7YfqUieHGJNdxBOs29y6+5qZasMYNjQQksHIE1rRgDQaE53MuuaYWno854czqlk33VW+/+0FjRX3g4MHqnfe2VLfedX/1jyecWdvBLm6sFcNKDFbf0CBne6+ywU+FSueGSr1JzO0TT7ZVYnYk4jTnXrEFGw1JBi66zEqEmYYAW1fTiCJ+bZ2NCAeNagYCOcuFir6r4RZ24kpDkEELOLMKg1XZNGzLVQvx/Fq9kncY7GXg5CfX/qxu0JScaKjwDIMbNPayia3e2BmAbUNpIDMhoGsQNdv3uwQkIAEJSGA9EmDgtD5m46pr6tUrtJ0YnFktQ5uI9hjCCYJG02AXQgNtQ9o3ZV1PuNjeDjGPbWs505VBdgZZylVQqxWHNndpexAO2ikMmtJmIR5Ng6elG33bOX25kA9oA5P+nBlIe+mOOze1iidl+ElHBv5pbzNpgIHGUW3u7AaCHG1n2mcMkDIozSpK2rnjGNp55Cvawqx+pj3YlHfGcWuSZ/pywy/6LAxAIsbSd0CwOhLt+D5p1ievj8OX+MOBlaaUE5QFZdt+HHfGfWYl3j/yAvmYMPP+kw95J8bNw5QT9EvI+/SdEXYQwnF3NQ3u864hLnMkBLt4kR+bVuk2hYO0In2IL+Fm0HfcOId78KdMZ8UXZRATp8eNN3UK2wXDjfK2a/J9+MeV8on0YRI+7x7pFucU5+fK733rMCbN0+enzw5rmBEO4jyOiXcPVhx3RdixTzmyEgbufdoEk46D9A3zSozdEAbeXfIeCyaov2J3mK7wUceQbryrtGkuvOjSut585dXXhsa9mtyhzcIYGeM4lBm0HZig1TZhonSjTxneNx8Slmnr3cjD07SV8Jcyh6MTeOd5hxjTob6YpNzpU+aU6XAk/u/bRuobRso92mi0t8nvk7TvmFTJwieEb9IcQbncdbItfEzUYVdDjpzhHaHca5qIWNpfiTq9dHOS//u+X0wmoByCV5TxjBeP058gnOzMwPtB/cYEHd7VI2H6lol92xN9ykT49G2HTVsmTpo2IVife/l11Wef7641InSiUR+exQ5nWytYT0rd5yXQTWDNC9ZEj07AM8+9VJ14xkW1CM151N876ezq9POvrC65+uf1h+/8xj0+PIudcTtu3Ri9KwEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMOsEHn/6hYnPp0akzh/c0EhAAitHYF0I1oGD2Tuvb36nuvnOe2ux+tiTz62+feyp9YfviNbc45lxZ1KF214lIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgATWNoH5hcUqzqLOIvS437GLGxoJSGDlCKwrwboJy/4DByo+GglIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQmgG722+d3q8aefn+iDHTUn848EVp7AuhesVx6ZLkpAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQwEoQULBeCYq6IQEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACExNQsJ4YmRYkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSGAlCChYrwRF3ZCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggYkJKFhPjEwLEpCABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCSwEgQUrFeCom5I4P9n786f7CrvO/H/Ed+q+WV+mKr5JVVTNTVTUzOpSiqZChmPkziJxyGOEy9FMdiOk9jj2LHjGAw2tgCB0A4SAiGx7yABAoEESCwSIEAL2iWE9n3f12493/oc+Tk69/btVt/uVnff269TdXNu3/M8z3nO6zxqp3nf5zkECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoWkBg3TSZCgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAwEAIC64FQ1AYBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQINC0gsG6aTAUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGAgBgfVAKGqDAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBJoWEFg3TaYCAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAyEgMB6IBS1QYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJNCwismyZTgQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQGQkBgPRCK2iBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBpgUE1k2TqUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECAyEgsB4IRW0QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQNMCAuumyVQgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgYEQEFgPhKI2CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBpAYF102QqECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBACAisB0JRGwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQtIDAumkyFQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgIAQE1gOhqA0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQaFpAYN00mQoECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMBACAuuBUNQGAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECDQtILBumkwFAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBgIAYH1QChqgwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSaFhBYN02mAgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMhIDAeiAUtUGAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECTQsIrJsmU4EAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBkJAYD0QitogQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgaYFBNZNk6lAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgMhILAeCEVtECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEDTAi0XWB86cip5MTAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjoPXHgMBaAO4LAMaAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMDMkYaLnAuuk55CoQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwLAUEFgPy9uiUwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGh/AYF1+99jV0iAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIFhKSCwHpa3RacIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECDQ/gIC6/a/x66QAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECw1JAYD0sb4tOESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoP0FBNbtf49dIQECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBIalgMB6WN4WnSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgED7Cwis2/8eu0ICBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMSwGB9bC8LTpFgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB9hcQWLf/PXaFBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGJYCAutheVt0igABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAu0vILBu/3vsCgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAsBQTWw/K26BQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgTaX0Bg3f732BUSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgWAoIrIflbdEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQItL+AwLr977ErJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwLAUEFgPy9uiUwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEGh/AYF1+99jV0iAAAECBAgQIDDIAp1nz6aOE8fThSNH0vlDB72GgUHci7gncW9sBAgQIECAAAECBAgQIECAAAECw0dAYD187oWeECBAgAABAgQItLhA55nT6fzhQwLqYRBQ9/hFgcOHUtwrGwECBAgQIECAAAECBAgQIECAwNALCKyH/h7oAQECBAgQIECAQKsLXOxMF44fE1QP96C6rn9xz9LFzlYfffpPgAABAgQIECBAgAABAgQIEGhpAYF1S98+nSdAgAABAgQIEBhygQirjx4VVteFwT3OcB5GZePeCa2H/F+RDhAgQIAAAQIECBAgQIAAAQIjWEBgPYJvvksnQIAAAQIECBDov4CZ1a3/jO5ipnX/h4IWCBAgQIAAAQIECBAgQIAAAQIE+iAgsO4DmioECBAgQIAAAQIEQqB4ZvUwmi3cKrOah2M/PdPav2kCBAgQIECAAAECBAgQIECAwNAICKyHxt1ZCRAgQIAAAQIE2kDg/OFDlgJvl8D+8KE2GJEugQABAgQIECBAgAABAgQIECDQegIC69a7Z3pMgAABAgQIECAwDAQ6z54VVrdLWP3b64h7aiNAgAABAgQIECBAgAABAgQIEBhcAYH14Ho7GwECBAgQIECAQJsIdJw4LrBus8A67qmNAAECBAgQIECAAAECBAgQIEBgcAUE1oPr7WwECBAgQIAAAQJtInDhyBGBdZsF1nFPbQQIECBAgAABAgQIECBAgAABAoMrILAeXG9nI0CAAAECBAgQaBOB820W1rqeg8UXENpkeLoMAgQIECBAgAABAgQIECBAgEDLCLR9YN3R2ZniZSNAgAABAgQIECAwkAIC3ksBb7s5DOQY0RYBAgQIECBAgAABAgQIECBAgMCVBdoqsO7o6EgbN21NL732Vpp0/6Np1Nip6aZR44tXvJ847dHi2IZNW1KUtREgQIAAAQIECBDoq8CwCWoPHkjn9u2xPPkAzXjv63hQjwABAgQIECBAgAABAgQIECBAoG8CbRFYX7x4MS39dE26c9L0dOOo8cXr1jH3FgH1jMefT/GKsDo+y8ej7NIVq1PUtREgQIAAAQIECBBoVmCoAutTn29Me559NG28+Udp5f+9Ni376/+Vln7lj9KKr38prf6nb6Wt99yVDr/7Vjp/8IAQuw8hdrPjQHkCBAgQIECAAAECBAgQIECAAIH+CbR8YH3s+Ik0ZcaTRRD9y9GT05x5C9OWbTtTZ4MgurOzM23etjO9/PqCdMvoyUWdKTOeSNGGjQABAgQIECBAgEAzAoMdWJ/ZsS1tnzYhLfub/10E1BFS9/Ra88PrLwXXfWfphxgAACAASURBVAhtB/vahtP5mhkDyhIgQIAAAQIECBAgQIAAAQIECPRfoKUD6x279qY7JtxfBM/PzJ7bVPB89NiJ9PSsV4u60Ua0NRDb6jVr0x2jx6Rvf/cf0v/8oy+k//xf/3v6yrVfSz/+yc/S4088lc6cOTMQp9EGAQIECBAgQIDAEAsMZsh6fOWytOo7X+sxoO4uvI6Q22zr3j9ve4iHldMTIECAAAECBAgQIECAAAECBEacQMsG1vsPHkq/HjMl/eK2CWnxkmV9vnGLliwt2oi2os2+bkeOHE3/+m83pf/v3/37Hl//4T/+Tpr2wIPdnubUqVPp5MmT6dy5c92W6euBCMuj7dOnT/e1CfUIECBAgAABAgR+KzBYgfWRD95Ly//uz/oUVucQ+7Pf/FufQuudD09LK771l71+rf7eN/q1DPmOGfcW51r9j9+saefT6/5P8fm+l56t+fxq3AMDnAABAgQIECBAgAABAgQIECBAYHAFWjKwPn36TBo7ZWYxO3r5qnU9ip09ey6dPNVzQBttxLOto83TfZgB3dHRkf7mb7/RJaj+3d/7w/T7f3BNl88j1L7v/uld+r13776ybMzQHugt+hPnjtDcRoAAAQIECBAg0D+BqxGW1rd5csPa9Om3/rJfYXUOrbfdN77psHfLxDuaOveya/9X0+eoXvPmcaOK88Wy59XP8zXsevzBms+rZQbqff9GhdoECBAgQIAAAQIECBAgQIAAAQLNCrRkYP3CnHlFwDxvwaKG13vi5Kk0+9U30sRpj6SbbptQlP313VPScy/PS0eOHmtYZ/7CxUW5Wa/Mb3i8pw8fmD6zDJojDH76mefShQsXyirx/tNPV6ZrvvCnZbkIjj/4cElZJt7s2bO3PH7Dd75Xc2wgfhBYD4SiNggQIECAAAEClwQGKiDttp2DB9LaH327YWAcwXAOcev3xbG/uqbh8UML5jUV+FYD689u/de0ecytPb623jumqfbrr33Hg7+dYV03Uztfo8Davz4CBAgQIECAAAECBAgQIECAQPsJtFxgve/AwWIJ7wn3PZI6L17sckd2792f7po8vQifY9Z0/etXd96Tokz9dvHixSLgjiXG9x1obmnwP/mzvyyD5gUL365vuvz53Pnz6Ut/8ZWy7KjbR5fH4o3AuobDDwQIECBAgACBYS1QH7YO9M/7577YMHRe/7N/Smd370r7585OS+uC6XU//k46u3NHOvjGq2nZX3cNtVf/07fSuQP7ex0qVwPrU5+t73W9gbYQWA/rfwo6R4AAAQIECBAgQIAAAQIECBDol0DLBdbPvvR6EUKv3bCpy4WfOn0mRSAdIfWdk6anZSvXpkOHj6TDR46lVWs3prsmP1gcG3PPjNQ16k5p3cbPi+PPvfR6l7a7+yCeOZ2fW/07/+m/dFes/PzJp54py8cy4tWtmcA6Zm1v3bYtvf/+h+mdd99L6zdsSMePH6821+X9YMywjuA/rmPJRx+n+fPfTBs3fpbOn78827xLp3xAgAABAgQIEGhRgYEOZevbW/OD67oE1ut/9o9FWJ3L7pvzQhlax2zsMzu2laFyEVpf+8dd2ojPc/0r7QcisI4A/fB7C9LeWU+lfXOeT4cXLSxC9UbnPndgXzq7Z1c6t29PTR8F1i36j0S3CRAgQIAAAQIECBAgQIAAAQK9EGipwDrC0FFjp6bREx/o9tIWLlqSHn5qdoplweu3CK7zjOsDhw7XHy5+vnPSA+m2cfelOFdvtmrIHMuBX6nekSNHU8zI/sIXv5Suu/7bxSkOHzlShtg5/K7uY2Z23s6dO5fuuXdqinC8Wia/j6XEV6z4NBcv9nGufLx+n5cl/8m//rwss3nzlpr6+Yc33lxQlnn8iafyx+U+QurqbPPqueJaDx5qPHM92vryV75avKY98GDZnjcECBAgQIAAgeEs0ChwHajPTm1c1yVojtB21xMzaoLcON++l55La//5hpqwOj4/t39fWvGNP+/Szua7f92lje763d/Aeus9d6Xuli/fPPbXKQLq6rm3TLi96K9nWA/nka9vBAgQIECAAAECBAgQIECAAIGBFWipwHrbjt1F4Dz71Tf7pHDmzNl0y+jJRRs7d+9t2MaLc98sjse5erNFQB1BdQ5nx46f2JtqNWUOHDhQ1s/tVPdnz54ty9/yy1/3WDbX+/iTpWWd3/+Da7qt8+57l54D/v3/96OyTMyKbrS99vq8sszMhx6pKVINs3Mf6vcRsm/YuLGmXvwQS6Pnsj/92Y1djvuAAAECBAgQIDAcBapB60C/3/fiM12C5gisl3/tT4oZyvXnqw9+z+3bmz771U8btrHyhq/WhMT1bVV/7k9gvfvJmeX5I7Re/b1vpBVf/1L5WVzP53feUtOXzeNGFccF1sNxxOsTAQIECBAgQIAAAQIECBAgQODqCLRUYP3JitVFmLz00zV90njtzXeL+rePn9ZwSfBoNNqOWdhxrt5u19/w3TJwjeA1AuKJk+5NERr3ZjnsKPPiS3PSjJkPl+1c84U/LT57ec6rqbOzs+hKPB87B7sRksfy4rEU+LLlK4q61edj/903ryu7//Y77xZtVYP1OF+88qzn/gTWsTx5te1fj7o9vbdocYqZ2tHnP//ytWW/65dBj04KrMtb5Q0BAgQIECDQQgLVYHeg3+98aGpNsJuXxL4UWn8xHX73rZqgt3r+WE574y//pdv6y67943T+4IFu61fbqgbWOx+5P+2d/Uy3r2qfYmny3Oe1v32udm43noUdgXQcjyA7fx57gXUL/QPQVQIECBAgQIAAAQIECBAgQIDAAAm0VGD99uKPijB546atTV1+PNs6lgnPy4G/+8En3daPtqNcnKu3WywL/p//638vQ9kcKud9hLR3j5uQIjiOJb2726rLi8fS3vXbP//op+U5oq367fTp0+VS4REg1289PcO6P4F1BPP5Wv/6b75ef9rU0dFR4xP9rG4Rbo8ZO754xUxtGwECBAgQIECgFQSqQetAv9866c4y8M3Bb3Ufge+R99+tCXuLPhw8kDbe8uMe60Y7p7du7lr30MEun1UD6+r5G71f+8P/W9Y/tnRJ2Yd4ZnW9z47pk8vj1eduC6xbYeTrIwECBAgQIECAAAECBAgQIEBgYAVaKrCe+9sZ0jt2NV7OuxFNPLd63NSHihD6ljsmpY+WrWxUrPws2o7AOs7VzLZ127b0nb//pzK4zQFu/T6WxR43YVLav39/l+avFFj//Kab0//8oy+kmEkds5obbdVnSNc/T/tqBdbz5r9RXncE1hFQ129zX3s9xczreJ04caL+sJ8JECBAgAABAi0nUB/CDuTP26aOKwPdhuFwPLN6+9YuQXD0IZ5pvfSvrumx/tldOxrWrb+GpgLrf76hbPPcgf3p1Ocbi1f9bO7Tmzeldf/y3bJ/1esQWLfcPwMdJkCAAAECBAgQIECAAAECBAj0W6ClAuu+zLB+Yc78IoAec8+Dac++A1cE68sM62qj+/btTy/Mmp1+8MMf18wqbhRc79y5q1o1XSmwrilc+SHC6x07dxZBePU8gxVYx3VUzxtLgMdy48ePH6/00lsCBAgQIECAQHsJ1Ie7A/nzrscfLAPd+sA6ltiuzkpudN59c17oNrRe/rUvlsFyo7rVz6qB9ckNay8tJR7LiXf3qpulfXLd6rR9+uS04Rf/nFb9/d+VS4FXr0lg3V7/LlwNAQIECBAgQIAAAQIECBAgQKBZgZYKrJt9hvXFlNIdE+4vAuulvXwmdV+eYd0TeoTQL738SorlvKvPeY6AN2ZLV59x3dvAevHiD9Itv/x1itnMPS1FPliBdVz/j3/ys5rQOgfYX/jil9LY8RPTypWrymdx9+TlGAECBAgQIECgVQSqwe5Avz+44PWGgXXMTD6zc3tN4Hxu75509OP3az6L/uyfO7thaL22MhP6Sv2uBtbx7OkrlS+PHzyQtky4veE1RFi94utfKo8JrFtlxOsnAQIECBAgQIAAAQIECBAgQODqCLRUYL1tx+4ifH5x7pu90ujo7CyeXR3Pr260THWjRma/+mZxjjjXQG8nT55Md4weUxPsrlq9pjzNlQLrWHb8b7/+rZr6ORiOfX0gPtCB9ctzXi3PPfOhR8p+x5vOzs5075T7uvSh2r//9j9+Ly356OOaen4gQIAAAQIECLSqQBnO1s0qHojPz+7Z1XA28u6nHqoJjc/t25M23vzjouzhd9+qPXZgX1rxjT8vg+E8q3nHjHtryvXU374G1rsee6A8b4TT0c7BN+emE6tWpFgufO/sZ8rjAutW/Reg3wQIECBAgAABAgQIECBAgACBgRFoqcA6Atjbxt2X7pz0wMBcfYNWRk98oDhHfdjboGjx0Y2/uCXFLOJ4bdmytbtiNZ9XQ+cnn3qmPNZTYH3mzJn0+39wTRkYRxD85a98NU2YeE+x/PbqNWuL2dqxHHcOieuvob/PsH7siSfLtusD63wR586fT4sWv59G33l3qj5PO/cpQvWtW7fl4vYECBAgQIAAgZYV6CnoHYhjm267sQx1c9i8/O/+LB1dsrgInM/t25s2/uonZZlY6vvwooWXjh3YnzbdflN5LNePZ1sfX7nsqgfWq7/3jeLcy/7mf6fTWzd3Od+2KWPLvgmsW/afgI4TIECAAAECBAgQIECAAAECBAZEoKUC67ji5156vZgBvW7j51cEOHHyVDnDOt5faVu7YVPRdpyjt1ss9Z3D2BkzH+5Vtdtuv7Osc8+9U8s6PQXWCxa+XdaJZcBjtnWjLYfS0ae+BtbrN2xo1HQadfvosg/dBdb1FY8cOZqee35W+p3/9F/Kug/OeKi+mJ8JECBAgAABAi0nMBChdE9tnFj9aVp27R+XwW4OnSO03jvrqZqwujz2tT9Je55/Im0a9fMu9aLM53fe0iU87qkPfZ1hvfxv/7Q4fzy3ur79CNpX/t+/LvsnsG65oa/DBAgQIECAAAECBAgQIECAAIEBFWi5wHrfgUPpF7dNSBOnPZI6L8ZTqrvf3v9oeRFA3zhqfIr3PW3R1oT7HinajnP0dpv2wINlEBszp3uzVWdBv/b6vLJKT4H1+ImTy/PcPW5CWaf6plq/2cD63268uWx//vyuS67HkurVGd7VwDqeXx2BdLwioG60xXO3c7D/k3/9eaMiPiNAgAABAgQItJRAfRB7NX7edt/4MtjNoXRf9yu++RepqedQHzpYLOWdz9dM3TX/7/qy30fef6cMrU+uW52qx6LtU59vLI9vHjeqqBczs6ueuQ+7Hn+w5vNqmYF631KDUGcJECBAgAABAgQIECBAgAABAm0g0HKBdZjPemV+EUTPX7i4x1uwd/+B9JuxU9OosVNTvO9pm7dgUdFmtN3M9umnK8sgNgLZMWPHF89z7q6NWbNfqim/efOWsmg1cK4Pv++7f3pZ79vf/YeyTn5z7ty59I/f/2FZpqfAOo5duHAhVy32jz/xVFn3ll/9puZY/HDnXWPL41G/Gljfdfe48tizz73QpW588OZbC8syEb5XtzCIGeTx2rjxs+oh7wkQIECAAAECw1ZgoALSntqJ5z1v+MU/l+FvDm6b3S+79n+lI4vfbjrs7esM630vXn5GdfT10+v+T8qzruPnlTd8tbym+DxmjIeDwHrYDncdI0CAAAECBAgQIECAAAECBAhcNYGWDKxPnzmTxk6ZWQTMy1et6xHnQkdHildPW7QRs7CjzWi72a26VHaEuRE2P/3Mc2nZ8hUpQuiVK1elCKq/dd0NZWgb5W74zvdqThWhc3yeX1Fn+fJPi6W931u0uPw8jj/y6OPp4MGDadeu3cUzrKuztnP9zz/fXBNM/83ffqNsIwLoJR99nE6fPl30IfqY68V+3IRJacWKT1PMtq7Ovs5lqoH1h0s+KuvGM6qj3/HM7dj279+fXp7zas2S4HHe6lb1++nPbqwe8p4AAQIECBAgMGwFegqaB/LYmZ3b04abflgGvM2G1fFs6wPz5jQdVsc1bL3nrvK8pzZtaKqNRrPDIzjfPm1COn/wQNp484/LtrdPn1y0vWXC7cVn3c2w3v3kzKb60Jf7MGwHnI4RIECAAAECBAgQIECAAAECBNpUoCUD67gX+w8eSr8eM6VYwnvRkqV9vj2Llywr2oi2os2+bOfOn09fufZrZWibQ92e9l/6i6+kg4e6nu8b37q+Sztnz54tZm1f6RzxbOvrrv92Tf3q8ttTpz1Qcyz69+57i4pLPn/+QmoUelevoXq8GlhHA/Wzu6NehNfV+vG+2p9sLbDOEvYECBAgQIBAKwn0JQzta51zB/albffenZb+1TVlyNub4HrVd76Wji376KqHvN1d16mN69L+114qnqt9fMUnRVBdLXti9Ypi5vfZnTuGrI/V/sR7GwECBAgQIECAAAECBAgQIECAwOAKtGxgHUw7du1Nd0y4v5gd/fSsV9PRYyd6rXfs+In0zOy5Rd1oI9rqz3bx4sViZnGExvUhbfXnL3zxS+mZZ59PMZu60RYzqeuD3gisY9u3b39qFGhH+zFbOwLwrdu21cxmjudL5y1mY//u7/1hTf9yYB1lYrZ1d+1PmjwlrVu/oawbM7yr28mTJ4swunqt9e9j1na+lmrd6nLjMZvbRoAAAQIECBBoBYH6oHMwfj7+6dK08Vc/Scuu/eMeg+uV11+bdj/1cDq3b8+wCYIHw2cgztEKY08fCRAgQIAAAQIECBAgQIAAAQLtJNDSgXXciAiep8x4ogiebxk9Ob38+oK0eeuOhs+R7rx4MW3ZtjPNmbcw/XL05KJO1I02BmqLQHbV6jVpzitz0+R7pqS7xoxL0x+cmV6d+1pav2FDr04TbcRy3qvXrC1C6vpKsXx3PCt6xsyH09Jly1PM8K5uR48eSx9/sjQtWvx+l1ncHR0dadv27WnN2nVFuN3Z2VmtWrw/ceJEsVz4rNkvFu0cO3a8S5nuPti9e0+xRHmE06PvvLt41nU8vzqWBrcRIECAAAECBNpJYCDC0b62cWbHtrR/7otpx/TJxXOfPx99czEDe9cTMy7NqD54QFB96GCfDNppjLoWAgQIECBAgAABAgQIECBAgEArCLR8YB3IMbt56YrV6c5J04sQOp5HfeuYe9PEaY+mGY8/X7zifXwWx+IVZaNO1LURIECAAAECBAgQaFagr2Gzen0LkgfLrdlxoDwBAgQIECBAgAABAgQIECBAgED/BNoisM4EMXt4w6Yt6aXX3irC6lFjp6abRo0vXvE+Qus4FmWirI0AAQIECBAgQIBAXwUGK0B1nsENuPs6HtQjQIAAAQIECBAgQIAAAQIECBDom0BbBdaNCDo6O1O8bAQIECBAgAABAgQGUkCQPLhB8mB5D+QY0RYBAgQIECBAgAABAgQIECBAgMCVBdo+sL4ygRIECBAgQIAAAQIEmhcYrADVeQY3GG9+JKhBgAABAgQIECBAgAABAgQIECDQHwGBdX/01CVAgAABAgQIEBixAoLkwQ2SB8t7xA5oF06AAAECBAgQIECAAAECBAgQGCIBgfUQwTstAQIECBAgQIBAawsMVoDqPIMbjLf2qNR7AgQIECBAgAABAgQIECBAgEDrCQisW++e6TEBAgQIECBAgMAwEBAkD26QPFjew2Bo6QIBAgQIECBAgAABAgQIECBAYEQJCKxH1O12sQQIECBAgAABAgMlMFgBqvMMbjA+UONDOwQIECBAgAABAgQIECBAgAABAr0TEFj3zkkpAgQIECBAgAABAjUCguTBDZIHy7vmJvuBAAECBAgQIECAAAECBAgQIEDgqgsIrK86sRMQIECAAAECBAi0o8CFI0fSYIWozjM44XjcUxsBAgQIECBAgAABAgQIECBAgMDgCgisB9fb2QgQIECAAAECBNpEoOPEcYH1ocEJkgcrsI97aiNAgAABAgQIECBAgAABAgQIEBhcAYH14Ho7GwECBAgQIECAQJsIdJ49K7Bus8A67qmNAAECBAgQIECAAAECBAgQIEBgcAUE1oPr7WwECBAgQIAAAQJtJHD+8CGhdbuE1ocPtdHIdCkECBAgQIAAAQIECBAgQIAAgdYREFi3zr3SUwIECBAgQIAAgWEm0HnmtMC6TQLruJc2AgQIECBAgAABAgQIECBAgACBwRcQWA++uTMSIECAAAECBAi0kcCF48eE1i0eWsc9tBEgQIAAAQIECBAgQIAAAQIECAyNgMB6aNydlQABAgQIECBAoF0ELnamC0ePCq1bNLSOe5cudrbLaHQdBAgQIECAAAECBAgQIECAAIGWExBYt9wt02ECBAgQIECAAIFhJxChtZnWLRfaFzOrhdXD7p+TDhEgQIAAAQIECBAgQIAAAQIjS0BgPbLut6slQIAAAQIECBC4igLFM60PH2q54PZ8i86O7nO/Dx9Knll9Ff8haJoAAQIECBAgQIAAAQIECBAg0ISAwLoJLEUJECBAgAABAgQI9Eag8+zZ1HHieLpw5IjwepiE4XEv4p7EvbERIECAAAECBAgQIECAAAECBAgMHwGB9fC5F3pCgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBESUgsB5Rt9vFEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYPgICKyHz73QEwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECIwoAYH1iLrdLpYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLDR0BgPXzuhZ4QIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgRAkIrEfU7XaxBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQGD4CAuvhcy/0hAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAiNKQGA9om63iyVAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgMDwERBYD597oScECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAYUQIC6xF1u10sAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEho+AwHr43As9IUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwIgSEFiPqNvtYgkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDB8BATWw+de6AkBAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRGlIDAekTdbhdLgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB4SMgsB4+90JPCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMKIEBNYj6na7WAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAwfAYH18LkXekKAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIERJSCwHlG328USIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBg+Ai0XGB96Mip5MXAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjIHWHwMCawG4LwAYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMTAkY6DlAuvhMzldTwgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgPwIC6/7oqUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECfRYQWPeZTkUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6I+AwLo/euoSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ8FBNZ9plORAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPojILDuj566BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBnAYF1n+lUJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH+CAis+6OnLgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0WUBg3Wc6FQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgPwIC6/7oqUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECfRYQWPeZTkUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6I+AwLo/euoSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ8FBNZ9plORAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPojILDuj566BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBnAYF1n+lUJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH+CAis+6OnLgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj0WUBg3Wc6FQkQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgPwIC6/7oqUuAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECfRYQWPeZTkUCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6I+AwLo/euoSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJ8FBNZ9plORAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBPojILDuj566BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQINBnAYF1n+lUJECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH+CAis+6OnLgECBAgQIECAAAECBAgQIEBgBAlcvHhxBF2tSyVAgAABAgQIECBAYDAEBNaDoewcBAgQIECAAAECBAiMQmjxCwAAIABJREFUSIGzZ8+lY8dPeDEwBoyBthoDJ06eSmfOnk0XLnSMyN/tLpoAAQIECBAgQIAAgYEVEFgPrKfWCBAgQIAAAQIECBAgUCMgtBbY+9KCMdDOYyCC687Ozprfe34gQIAAAQIECBAgQIBAMwIC62a0lCVAgAABAgQIECBAgEAfBITWAst2Dixdm/F9+vQZoXUf/rdBFQIECBAgQIAAAQIELgkIrI0EAgQIECBAgAABAgQIDIKA0FqoJ9g1Btp5DMRMaxsBAgQIECBAgAABAgT6IiCw7ouaOgQIECBAgAABAgQIEOiDgNBaYNnOgaVrM74907oP/8OgCgECBAgQIECAAAECSWBtEBAgQIAAAQIECBAgQGAQBYTWQj3BrjHQrmPALOtB/B8TpyJAgAABAgQIECDQRgIC6za6mS6FAAECBAgQIECAAIHWEBBaCyzbNbB0XSN7bJ84eao1fgnrJQECBAgQIECAAAECw0qg7QPrjs7OFC8bAQIECBAgQIAAAQIEhpOA0HpkB3uCXfe/XcfAcPo9qy8ECBAgQIAAAQIECLSGQFsF1h0dHWnjpq3ppdfeSpPufzSNGjs13TRqfPGK9xOnPVoc27BpS4qyNgIECBAgQIAAAQIECAylgNBaaNmuoaXrGrljeyh/pzo3AQIECBAgQIAAAQKtKdAWgfXFixfT0k/XpDsnTU83jhpfvG4dc28RUM94/PkUrwir47N8PMouXbE6RV0bAQIECBAgQIAAAQIEhkpAaD1ygz2hrnvfjmNgqH6XOi8BAgQIECBAgAABAq0r0PKBdfxxN2XGk0UQ/cvRk9OceQvTlm07U2eDILqzszNt3rYzvfz6gnTL6MlFnSkznkjRho0AAQIECBAgQIDAQArc8vLW9J3HNqZnP9nf62aXbjtR1Il6p883fqzNwvVH0r0LdzX92n7obJd+rNp5Mk15e1f68bOfp689sDZd//CG9LNZm9Prqw+n8x1X/mLnoZMXivrfe2JjUf+v7luTbnhkQ5r45s60Ye/pLuerfrDj8Nn0/NIDadSr29J1D61PX71/bfrHJz9Ld7y2Pb2z8Wi1aJf3B06cTy+vOJjufH170efo+w+e2pRun7s9Ldl8vEv5+g+One5Ic1cfSuPe2JG++9jG4tzR71/O2VrcrwudV772+jb7+7PQWnDZjsGlaxqZ47q/vw/VJ0CAAAECBAgQIEBg5Am0dGC9Y9fedMeE+4vg+ZnZc5sKno8eO5GenvVqUTfaiLb6sp07fz49+dQzV3y9/c67affuPT2eYtXqNWU7hw4f7rHsYBx86eVXiv4sWPj2YJzOOQgQIECAAAECbSMQYWyEt/GKcLm3W4S3ud6xM40fYROBbi7TzP6Dz4+V3Yjvdj7ywd4e24nwOoLh7rb3Nx3rsX70LULhRlsE5RFQ99T/CI+PNzAI2wioe6r7/ac+SyfONvaLkD2uraf68YWBLQfPNOr6Vf1MaD0ywz2hrvvebmPgqv6i1DgBAgQIECBAgAABAm0p0LKB9f6Dh9Kvx0xJv7htQlq8ZFmfb86iJUuLNqKtaLPZ7cCBA+n/+3f/vtev//Affye9MGt2w9PcNWZc2c7HnyxtWGYwP/yd//Rfiv78+ZevHczTOhcBAgQIECBAoKUFYnbuvzz3eRmI9jaw/njr8bJOhKkDHVhXZx4/9H5tWB0B8L++sDnFTOlqkBszn89e6DrTe+3uUzXlov6tr2xLo1/fnr7+4LqaY3uOnqu5nyu2n6g5HueL89704pb0zRm1daPN6rbzSNewOmZGx+zqar/jfbRXP086Avi4pmrZ+Pnml7YUM9urn0dfznYzy73ap4F+L7QWXrZbeOl6Rt6YHujfi9ojQIAAAQIECBAgQKD9BVoysD59+kwaO2VmMTt6+ap1Pd6l+A8+J0/1vBxhtBHPto42T59pbiZFs4F1Drdv+dVvuvRbYN2FxAcECBAgQIAAgZYQ2HXkXIoZzA+/v7dLINpdYB1LfkfwG8tvx2zialga77sLrPccO1fUi7o9vaIvuc1Y8jsvcx2hbf489jHTuroC9uYDZ4plvXOZxz7c1+UeVIPtnz7/eU2offpcZ01gf/f8HTX1q7Obf/jMphTl89bReTE98dG+mv5FwJ23WPI79yuC6oOVGeBHT19IT320vzwe5T7fX/v/249/c2d5PEL2bXXLpEeoX535HYZDsQmtR17AJ9R1z9tpDAzF703nJECAAAECBAgQIECgtQVaMrB+Yc68ImCet2BRQ/0TJ0+l2a++kSZOeyTddNuEouyv756Snnt5Xjpy9PJSiNXK8xcuLsrNemV+9eMrvq8G1jF7ev2GDTWvNWvXpSUffZyeePLp9Pt/cE05gzqC6w8+XFLTvsC6hsMPBAgQIECAAIGWEcghaqN9d4F1fTBbX7e7wLo3KPuOnS+D15jxXF1a+8FFe8rQNpYgb7RF0Jv7E8FudaZydSZ4hMaNZmBv2n+6rB9l8hbPtc7tRr9OdrNsdzXAz37xTO1cN/ZHTl/Izdbsb5t7eVn1+WsuP2YnwvBqGB19bLTNXnawPE8sDT5Um9C65wDzkxWr07sffNLwtXLNhnTg0OHikVGNQsC9+w8U9ZYs/bTbMo3qDdRnue/79h8c8PPv3L03vfP+x+nx514u/h6eOvOp9OxLr6dlK9cO+Ln66hErm81/e3F68oVXivuQ29m1Z1/x80fLVg6bvua+9Xcf/jFet+/c3XbX1shmqH5vOi8BAgQIECBAgAABAq0r0HKB9b4DB4slvCfc90jqjIfv1W279+5Pd02eXoTPMWu6/vWrO+9JUaZ+u3jxYvEHfSwxvu9A75cGrwbW//m//vf6Zmt+PnHiRPrCF79UhtY333JrzXGBdQ2HHwgQIECAAAECLSNQDVLr3+fAtf5irlZgHcFsdQb06l2nak594+wtZSC7fm/j0DYqxHOg87VUZyqPmb+j/PzlFQdr2q7+8PiSfen+d3cXM7jz56+tPlzWjdnS3W1vrTtSlovZ4bHF0uK5P9/tIUh+9pPLs6wf/fDyDOlq/QjLu9vqZ6CH51Btgx1aj5vyUPrl6MnFo5IahVD5s/h76pGnZxePaLrljklp7L0z03Mvv56uFMBu/Hxrumf64ynqxN9pN98xMU2e/ljavHVH0yHerWPu7fK3Xv3ffvc++ETD4HrF6ksrbEU/8jUN5j4eRxV9/XT1+gE9fwTV+Qvb9Rbxc3yhe8euPQN6zr64Ve/dfQ89Vfbnw08+LVxiDPal3aGus2b9phSPHGs0nm8fP624tjfefr8lr61Z26H6nem8BAgQIECAAAECBAi0rkDLBdbx7fD4Y3vthk1d1E+dPpMikI7jd06aXnyL/NDhI+nwkWNp1dqN6a7JDxbHxtwzo2aWSG5o3cbPi+PPvfR6/uiK+2YC62jsvvunl4H1N751fU37vQ2sL1y4kNat35Benzc/LVr8foo+NLPt3LkrLVj4dlF/9Zq16fTpxv+h0jOsm1FVlgABAgQIEBjJAvuOny8C1QhF41Vdmrq7wDqWBM/l8z5mM+dQtq8zrJ+pBLb3vbO7y22pPsM5+tDdVp2p/FIlmO5t/UbtRoCcr++Fpd3//7Dvbjxalotlw2PbevBsiuXE4xXP4O5uu/P1y8uGz6vMsF6582TZZjyzurvt2OmOslz0NWZ2D+U2WKH16nUbi7+F4m+pnoLnmAWb/+aKstVXhHIHDjae2bxm/WfdhqkRsm5rcuZpDj1/c/fUIgSPIDzC7/g7MILw3K9xUx/qEhC2Y2D95POvlNccQfyMJ55Pr735bnrptQVpwn0Pl8dGjbuv+Pu42QByoMpv+Gxz2ZeY/f3RslXl/YkZ73HfYnwN1PkGs51JDzxW9P/5l+d16X8OrN98R2A9lL9PnZsAAQIECBAgQIAAgeEr0FKBdcyCHjV2aho98YFuRRcuWpIefmp2imXB67cIrvN/uIgl4hptd056IN027r4U5+rN1mxg/dDDj5aB9Q9/9JOaU1wpsD5+/Hj6/v/7UVk/Pw879r/7e3/YZYnxmsZTSi++NCflELpaN5YyHz9xcpfgOpf98y9fW99UitD87//h+2Vf/tv/+L105MjRstzjTzyVvvyVrxavaQ88WH7uDQECBAgQIEBgJAjEUtQ5mO0usG7k8M0Z68p6fQmsI/jO543lr080WHK7+gzpRsdzv34+a3PZVn6WczwnOrefZzkv3nQsRTD+g6c2pfgsgu4IoxstFb7l4Jn0xtojxStmMne3VWdxT16wq7tiXT6P54jn/sU+nvedt1hCPJ97477GX9iMslEmt1Fdzjy3MxT7qxVa79l3oPiSb3wp+Be3Xw55ewqsI2SMv6kiZH570ZIUAfYHHy8v60doVx8SHj12vAy5Y3bxhk1bijKr1m0sw+X7H3mmS736dqo/58A6Atnq5/n9I0+/WP7tFyto5c9j326BdczszX/njr/v4RT3tXq98T7C61zmmdlzuxyvL3+1fo5lsaMf3c2izl84v1rnv5rt9hRYx6PJ4tqu5vmHU9tD8XvSOQkQIECAAAECBAgQaG2Blgqst+3YXfxxO/vVN/ukfubM2XTL6MlFG/Fsr0bbi3PfLI7HuXqzNRNYd3R0pL/75nVlyPvA9Jk1p+gpsI5nYUcoXA2aG72/Y/SYmjbjhzjvv9148xXrRhhe3boLrM+fv5C+/d1/KNuLcp9/vrlaNY26fXR5/Kc/u7HmmB8IECBAgAABAu0uMFSB9c8qIfOLyxsv133Ly1vLQHbF9hMNb0Wsgh3LZufgdtJbO4ty1Wdb3/TiljTujcvLg+eyeR/hezzvutktAvDcRuwjhO5u23zgTHrsw31p/Js70z8+eXkJ86gXS4M3u+06cq7mOdfTGsxQb7bNgSp/NULrHD7nIDPvuwusYynwXCaeQVwNyN77cGl5bM/e/TXHItiOehFyR8BdrTdn3sLi2K/uam5W7ZUC6/h7L/c1AvXqOXsTWMdM4HkLFqUnnp+TXn3jnWKFr2objd5v3b4rvfnOB0WdWa+8kZauWF1z3lynuyXBY7nu5SvXFq/6kD3XbbQfc8+llcRiZnlPoeht4y4tSx3nb9ROfLEgzv/y6wuK50vHtWzbsath2ai/fNXaIvyP93FfF324NMV1v//R8oah+abN29LsV9+4dL/vvCfFCmfVZzrH7Pz47LPN27qcM+5ZnC/OFdcYfYvz5OsI++j71u07i89i+fm4jpi1HWFxLhftvzr/7fT6W++luMf58+720ZcYoxH4R5uNyh06crQ4d8zujzEXX76IvlRXG4hlwuPc3d3XeK73h5+sSDE7O75AEsF+d2Xj82g/9z/aDo+XXnur+LynMRD3ONxmvTK/WMY//t3Gv5VG19Wfzwbq9552CBAgQIAAAQIECBAYOQItFVh/smJ18Qfg0k/X9OkO5W+Vx3Jc3c2fjrbjj8w4V2+23gTWBw8eTO+//2HNjOQIeU+ePFlziu4C65jN/Pt/cE0ZAP/Jn/1lMVt6/YYN6Y03F6Qbf3FLeSxC7Hfefa+m3eeen1Vz/Bc3/6qo9/EnS9Pd4ybUHHt17mtl3UaB9bnz59P1N3y3rBPP7d6yZWtZJ78RWGcJewIECBAgQGAkCgxFYL1h7+ky6I1Z1N09ezkC3hwIx/OhGz2iubqkeZQd/fql501/uuPystq5jdjHbO4IjKshdz6+4/DZXg2B6G+1b1H/1le29Vh37upD5bXk88X+rnk7eqzX6OB7nx2rCasjcD/Tw5Lpjdq42p8NdGg9f+HiNO2hp4tXddno7gLrZb/9Wyn+XqoPxSIUzM9PnrdwUU0AloPxRrOoo50I3j7fsr2mzpXCsisF1us3Xl56OmYgV9vrKbCOVbkeenJW8TdhDrzzPq6jO5sIQXO56v6uydO7WDUKrCMMzUuZ3zHh/rS/blZ4tf/V9xEU5/O9Mv/tmuuslov34RyBaISV9ccitIy+5raq+xfmdC0f9zuXiWdn5/d5HzP24x5UzxNfSsjH8763z7DO5ePLD3k1gKkznyzbf+zZl4q24x7l5bdznRiXcc9j2fj8Wd5HOFztY34foW5+1nouG/s4dwThuVzsY+xWy+T3cc5cLvep0TOsV67ZUMw4z/XyPsZDNZTPbeVnfUdAnq8714l9LPveKOzevG1Hyv9uquXDJwLy3P5A7K/270LtEyBAgAABAgQIECDQfgItFVi/vfij4g/BjZu6BqQ93Zp4tnUsE57/KIs/xrrbou0oF+fqzVYNrCMsjpC3+orltutnQkf4/NlnXZ/B3V1g/cSTT5dtfOkvvpJOnOg6E2bS5CllmZiJffbspf8weObMmRShcu7D1Gldl1Ov1v3nH/20vOz6wPrcuXPpW9fdULYV7W7bfuk/XpaVfvvmvUWL05ix44tXhOo2AgQIECBAgMBIEhiKwPqXcy7PnF6yufuZzSfPdqTqs7LjGdFRPp4RvXrXySKcroa/8T4va77os9rZz3EsZjJXw/GYhV1d2jyC7CttEYTH8tvV80a/jp/p6LHqW+uO1ITM1frxnOpYBvxKWyyjHrPFq3UjeN+0v/tlw6/U5tU8PtChdQ6nIszMfy91F8rmLwBHsJnrVfd3TnygaOPJF16pOZ6feR3BZoRzEZpG2BjPXY4vClfb6O37HLzVLwkeQV0E6/Fs67ieeKRUfZs9BdbTH32udIjnQEcQPf2xy59F6FnfXsxuzXYx2zmW3M6znuPzmU+8UFOnPrCOJdJzWB2GMdu2/hzd/RyzjvO5YwZzd+V6+jxm3WbP6EfclwhlJ057pGx77hvv1LRdDazj/BHkxjLsYZa/uBAzuqvnjZXSYsnyKB/nefSZF1OMiVwmB7GNlgvP15j3YRjjKNetD27vffCJlJfoznViH/2ML07EuMif139ZYvuuPWUofve9M4oxEPc0vkiQ61RngccS7HEteZyPnnh/8XP1uezdBdYxIzy3GX2KLwc89/LrKc+Gj2N5JnW+1uyU64VFrAQQ15w/i/7k8nmf+x/lI6iPLziMm/JQWadRyJ3rNru/mr8DtU2AAAECBAgQIECAQHsKtFRgPfe3z93asavxct6NblF8Q37c1Et/hMU3pD9atrJRsfKzaDv+yItz9WarD6xzMNzTPoLe+fO7LmveXWBdXQr8k6XLuu1WPMc6n3f58k+LctXZ1RF2N3o296HDh8t60be8VQPrCMC/8a3ry3LRp507e/88wdymPQECBAgQIEBgJAgMdmAds5hz4PqdxzZekThmE+fy3e1j1nQ+9viSfUWb72w8Wn4Wxx56v/H/Xx5hb64b++6C533Hzqdq0J7rRLvVEPxKF3S+42IKg6iX24h9tN3dFrOnH1y0p6Z81PnVnK0pntU9nLerEVr3JrDOz4VuFNpGoDXp/keLv6Ui9K0GXDlEyzOt8895H8FoLKtcrXOl9zlgjTYiIM2v3GbsI0CM8LG+re4C65jlnOtXg9SoHzNd87HqUt/R7zwTNwLD6rkifIw6Ec5WP68G1uGeZwzHFwEOHDpcU7Zar9H7mM2e+9WsYW4vfxEhDGN56fx57B995tLM5ThWDTSrgXVcT3VZ6fyc6uhXta14n49FgFt/LAexPQXWYbVm/Wdd6lYD6+q9W/Deh6VPBNjR7zjvwcNHymB94aIlNe3FcuHR9/jSQ7WPscR3vlfxJYXqsXifA/JqkJ7LdBdY55A5AuroUy4fKw/kL4DETOr8eeyzU/RxyownUvw3j3w8vhwRn4+5Z0b5WRyLexefx2vV2o01x3KQXb8yQm6zL/vh/PtT3wgQIECAAAECBAgQGJ4CLRVY92WGdf6PBPEN9/jm85W2/s6w/vlNN6f6Vzzvubqkdw6VR995d013GgXWp0+fLkPiaKOnLZ5BndueNfvFomicI38Wy3R3t61cuSotWvx+WvLRx2WRHFhf84U/TX/79W+V7cSs8T17Gv/HybKyNwQIECBAgACBESww2IH13fMvP0t61rIr//+8cWtiJnSE29WAN7+PZzdXl+ees/JQcTfX7j5VU/70uc5u7/IPntpUlo2Z2/Vbo9nR8Qzu3i4hXt9e/rl+FvixBrO01+85la57aH3Zv7juWEb9k61dVzLK7Q6n/VAF1nl27IOP1QbSOdCK5cUjEJs8/bEyEIvgLQdlsY/gM2YsRyiYw7r4/JGnZ5d1cns97auBdbX9+vcRotcvr91dYP307LlFXyOUbHTufM6YbZuPR3idz5mfn5yPxUz1sffOLMLDah9yYB1BcQ5A4+/VamCZ27jSPmZCx/nD9Upluzuen70cXxyoL1N9bvmylZeeIR1lqoF1PLu6Wq8ajtbPXu5vYF0/Wz2fNwfW9SFzdbnu+qA2f7E97ntuJ/bxJYIYn5+uXl/zeTybPS9rHveuWifeNxtYx8z2PHbqVwqI9vKz36NMlM3nqwbWcX/y57HPz5KPL1FUP4++53PFv7u9+w+Ux+PZ6Ws3bKr50kG1bl/eD6ffl/pCgAABAgQIECBAgEBrCLRUYN3sM6zjOdX528LxHxJ6s12NZ1jn80b4HEtu5wA59qtWX34ed6PAet36DWX5CKR72h6YPrMsG8txx/adv/+n8rMcYvfURvVYDqyr/c3v45ncNgIECBAgQIAAgcYCgxlYHzxxviZ4bRTQNu7lpU8PnDifPt5yPL2++nCKIDdmK8cWM41zgB1BdWxRNn8Wy4r3tI1943KI/sbaIzVFJ721s2wnh8VLt/UcFkcf3tlwtHjFsuY9bdUlz+OaqlsE5fkaYh8zyV9ecbCpGd3V9gb7/dUIqyOQ6s0M67xEdHeBdQ7sqs+qrgZlMXO2GtzGeaNsDtKqodyVQrIcHtcHfRGkxkzpWFY5t1vf3+4C65itGnXied6Nzp+PV2dS59m4zQTGObDO/Yv9E8/NaXjORv2oflYNL/s6wzrPEH/ptbca9iEfr4a01cC6PpSO/oVHXFcEodX+9jewrg+Rc9s5sI4xmD+LffUZ3zEWq8fyigCxnHb18/w+wt9YVSDGfSzXna8prqtqkcvn8d/bGdbxTOk8BtZt/LxLH6rHq8b5ntfP3I9+rFq3sWiz0XjMXzjJ54wvKjzz4mup/hnv+Xr6sx/s34vOR4AAAQIECBAgQIBA6wu0VGC9bcfu4o+vF+d2XU670a3o6Owsnl0dz6/u6Oj5P2rl+vFcrfgDLs7Vm626JHh1Oe2e6lZnK8fzo/PWKLCOpcNzSNzTDOloY+5rr5dlb/nlr4tmY3Z0rr96Tc//UTH3I+97CqxjSfAI4G0ECBAgQIAAAQJdBQYzsH7mk/1lAPubV7d17UzdJxFIx8zoeF28lE3XlUip82JK8RznHOjGz7HFvhr2dlO9KBt9yWXjGdV5i9na+fPYT39vTxmS5zKN9tX2ImDvaYvnZudzbNh7+f9nXb2rdob4jbO3pEMnh/fy39XrvFphdQRTvQmsI/iNv5WqgW011MrPba4PX3NA1ijI+3j5qqLNKNPMM5i7C6yr/cnLWdcHe90F1nkJ5uoM6mp7Mx5/vuhrNdCO53VH30eNu69L4FitW31fDayjb9ln/cbNvW4jt7d1+66yfgT1+fNG+wiPo5/xqoa3+fzLKzOoq/Vzf6uBdjWwrp/lG3VzuDvQgXWEuNW+5fc5sK7/ckI1sI4lvXP52HcXWMcy8vkZ6NmmuMdjp5Yz4gcisM5fyI+2q/3K72MWdD5/NdDOgXX8G8hl876nwDpWO4h/g3mWeG479rFkeaP7mNttdl/9veU9AQIECBAgQIAAAQIEeiPQUoF1PH/5tnH3pTsnPdCba+tTmdETHyjO0ehZz40a7EtgPXXaA2WIXJ013Siwfm/R4rLsjb+4pVEXys8effzJsuz0B2cWn8dzq3NgvXHjZ2XZ3rypBtbRTjyzOkL53N6VAvTenEMZAgQIECBAgEA7CgxmYP3T5z8vw9krBblhXV0+vLtZzQvXX35Wdf1zoGPp7BwGr6ubvZzvZTx/OgfeUTY/EzpC8lw39gvX1868zvUb7R+uPJ/6kQ+6fzzNhc6LxazpfJ6z5y8vW/79py4H2RPf3NnoNMP2s6sZVkcY1ZvAOoLcCLciwGwUYMUzo+N4fZgXM6vj85iNXF8vnn0cx+K1el3ts3Xry1Z/7k1gPX/h4rLtCFhz/e4C6xxgVpc0z3ViH88Zjn4+9OSssq28JHd3y4hHwFqdHRvt5AB46swni2XA87VEkNzMLPPct+wXAX3+rNE+lmKPsvUBfl6W/NU33ulSP0Le3H7MOM7ttnNgHV94z06vzn+7+CJFvi/xnPE4Vj/Gw6XZGdbVf3Ofbd5W2mbjDz9ZUdpXVyboa2Cd2419nDtWJ8hf0ohrivFYLdOf98P2F6mOESBAgAABAgQIECAwbAVaKrAOxedeurS0W3zD+ErbiZOnyhnW8f5KW3z7O/5Qi3P0dutLYH3rb24vQ98f/PDH5akaBdbbd+woy37jW9eXZRu9ufmWW8uy8+a/URSpLkH+9jvvNqpWfPbYE0+miZPuTRGm5y0H1tXZ1G+8uaA8RwTX8exrGwECBAgQIECAQK3AYAXWMVs6B7Oxz8t51/am9qdnKzOy7124q/ZgSkUb1WdbL6tbqnvu6sszpCMAbnTOeI527lfMds7bx1uPl583Oncu12j/wefHyrqx5Pe+4+cbFUvRbj73DY9sKMucOX85LP/uYxuL2eLlwWH+5mqH1TnAir+F4hXPXm4UVuWgN8rUz3TNf0vFse07d9fUzzOvY4ZyfbvzFi4qQ7lmnuGcQ976JcGr7eclvOsD2nwd9c/5zbN0G4XPsdx29nll/tvldeTwMI5VZ8FGP/J54lh1dm8OrPPy1ss+XVO2PfvVN8q2q9fS0/upM58q6ses5nr7XC++GJBnPVeXbI/jMbs2+hiBfS6f99VZwNUZ3O0aWMd1ZadYvjw7xD7/7GUeAAAgAElEQVRC63xsIALr6piaM29hzbnifHn2fv14zGOumRnWEX6Pm/JQsQR49ZrifSx7Hve/UXv1ZXv78zD/lap7BAgQIECAAAECBAgMQ4GWC6z3HTiUfnHbhOI5Up3drWH4W+j3P1pe/uEf73vaoq0J9z1StB3n6O3WbGAdM7cjAM6zlO+5d2p5qkaB9YULF8qyUefgwYNl+eqbKJcD5ij32WebisOT75lS1v+3G2+uVinfx1LhuT9f+OKXys9ze3/+5WvLz+LNDd/5Xln+f/7RF9L5862zjGLNhfiBAAECBAgQIHCVBAYrsI4wOYezP372yl/ojMv9fP+Zsk7Uferj/cXy4HFs68Ez6XtPbCyPN2ozlgWvzrKO8PeTrSeKpbU3HziTZizaU9aP9quzsGcuvnzsB09tSrfN3XbFVwTsscXy49WlviO0nrfmcIpz7jt2PsVs8Z/N2lxz7iWbLy8dHsez1TdnrLvieaNvY+bvKM49lP9nMMLqCKGqsz27C6yjXJ4tHSF0Dq8iaM6h9OiJ95ef5+OLliwt/y7LIW0ci3p3TLi/ODbmnhld6uX6jfbdBdYRKsZs1cefe7k8ZwRy1TZykFwfWK9cs6Gss3DRkpo6sZRyhHoRWMZSzbm9WGY5P+O5GgRHGBnXFHXiWcG5fOzrA+v47L6HLoXOUX7z1sbLXlfbqL7fs+9AMWs66kY4H9dXPR5Bc75v0f8du/bUHJ/1yvzy2upD6Qg5i2uY+EBNnXYNrMMth9IvzJlfc8155nV4NAqsY2Z+HHvk6dk19aLN/KWAN95+v+ZY9o3Z9fsPHiqPxT3K9yyC6+r97Etg/dGyS0vvx7XFeKm2l8dezB6vft6f90P5O9O5CRAgQIAAAQIECBBoTYGWC6yDOf9BHUu89bTFf0j4zdipadTYqcV/VOip7LwFl77ZH203szUTWB89eixdd/23y7A3QuKtWy8/Z7BRYB19+c7f/1NZ55Zf/aZh92bMfLgsE8/IztuWLVvLz+vPl8v8/T98vywzZuz4/HEZgNcH1rt37ynLR5vV53Dnyps3b0kLFr5dvJpdijy3YU+AAAECBAgQaFWBwQqsH6yEw/G+t9v97+4uw9sc4tbvI9Q9cKLxLOaVO0/WLLtdXzf/HMt4V7cfPbvpiufNdfP+X1/YXDaxpu4Z1LlMo/3kBbWzx6tLijcq391n5cmH4M1ghdURTPU2sK5+KTiC2lgGOQdrMRN0y7adDUOv6tLDE6c9kqY99HTKS4hHyFcNSnsTlOXAOur29Bp778wUX0iuttldYB1l4vncub2YcRxhd7SRP2v0HO433/mgPB7LhkcbOfSMejGDunr+RoF1PD84L83dl+Bw0YeXvxQQ54zgOoLyfG/is+hTdVnv3KcI13O5KBP3ZuYTLxR/R+frrr+Gdg6sx9/3cHk/Y3zHFxHyWM33Ne7zO+9/XHNf85cawizGTHUp+O4C6w2btpTninPEKgRxvvwliLiP1S9IxD3rS2Ad9zg/uzrafPSZF1Ms8V8d2/Vheh4ffdkPwa9LpyRAgAABAgQIECBAoMUFWjKwPn3mTBo75dJ/NFi+al2Pt+BCR0eKV09btFH8UTllZoq2m9mqgXWEtz/80U+6vL793X9IMRM5jldf1XA4ztldYB2hdrVezJSOGdQdHR1p67ZtadoDD9Yc//iTpTWXUF0qPGZNv/b6vLRnz94UYXZ1efI4R56ZHQ10N8M6jsUzsqt9qtaL4/F863z8pz+7saY/fiBAgAABAgQItLvAW+uOlMHsfe/s7vXlXvfQ+rLeibM9//+w0Wg1AI4ls3u7xTOmn6ksDV4f1kZIvOfouR6bizD7X567/Pzsahsx+7k6uzkaihnSX71/bXl91fI9vf/5rMuBdbSz68i5VH0WdX3dCNoXb+pqEe3Ul+3Nzz0iXMWDgxlWRyAVgXEOJ+sD3vrAauF7S2oC2agXgWcsH11fNv984NDhIojL58j7COnWrN/Ubb1cv36fQ9/cTnUfYd/d985I8Xzp+nrxc8zyjvLR5/rjEexFWFttL79v9IznXD9mZOcwM5ePftSHmlH+N3dPLdqPGd25fuzjGd+57lvvflBzrFquu/exLHuesZ7byfsIr+uXca+2EzN68/OZc53YR7i5fNXaLn2pBtb1M3aj3WxRv0x6BObRbvSzev54v2Tpp8WxGBP1x3Kftm5v/IWIPKO+ftn5+CJArhtjsNpufmZ5/Qzm7bv2pJjxnOvFPq4nlmuPMZ6/WDDt4adr2ot/Q/lY1KnOdM/3Jb7cUO1DvI/xmL8wUD1nhNzRl/ry2Sn+DdQfW7P+s6Lf0Y/6YzE+uvt388yLr3UpX1+/mZ+v4q9GTRMgQIAAAQIECBAg0KYCLRlYx72I5bLij61YHjyWmOvrtnjJsqKNaCvabHarD6xzSHul/bPPvdDlVN0F1lHwvvunlwFwT23fPW5Cl3YPHzmS/uTP/vKK9ev71FNgHUuQX/OFPy3bjFnYnZ2d5bkF1iWFNwQIECBAgACBYStw+NSFIlh+fumB9OiHe9Orqw6ljftON9XfeJb0e58dS899ciBFUB9LdEcgfjW3eDLQjsNni2A6lgyP8P2dDUfTpv2nGz5T+2r25Wq0PdhhdTNBVC4bgWUErrHqVXUmaT7e3X7Xnn0pZmm/vWhJEZLHEt7dlR3Kz+OZzx98vDzFM7bjOnvzfO0wiYA2/j5dv3Fzip+H4hoifP5o2cqi7xE276+bYd5Tn+Jexr1Z8N6HKWb/Dtf709M1DMSxuO4InOOLAxH0Vh0i+A7XCMPrzxVfeIjguqcvB9TXiZ9jrMQXN+a/vbgYP9t27OrSdqN6zX6W/93GdcUXMGK2doz1Ztu5Uvmr8XtRmwQIECBAgAABAgQItLdAywbWcVt27NpbfoP86VmvpqPHTvT6bsUfWLEEVnyDOb7tHG31ZTt0+HAZ2vYUJP/u7/1hipnWY8dPrJnFXD1nhM25jWXLV1QPFe/ffW9ROes5l8v7//AffyfNn/9mlzr5g3PnzqWYmZ3LV/e//wfXNKybA+uvXPu13EzNPvpYbWfW7BfL43feNbY81t2zs8vC3hAgQIAAAQIECBAgUAi0Qlh9pbDK8RMDHgAyZdpKY8CvcwIECBAgQIAAAQIECDQr0NKBdVxs/NE2Zcal54zdMnpysezb5q07amb7ZpTOixeLZ6rNmbewXHIr6kYbrbJF8Lxq9ZoUs6EnTLwnvTzn1SIAjxnPvdlOnz6dImieNful9MabC8qlxXtTVxkCBAgQIECAAAECBK6egLBaKNlKoaS+Gq/djYGr91tSywQIECBAgAABAgQItKtAywfWcWMuXryYlq5YneK5XPmZT7eOuTdNnPZoimdYxSvex2f5eJSNOlHXRoAAAQIECBAgQIAAgaEUEFYL/7oL/3xubLTaGBjK36XOTYAAAQIECBAgQIBAawq0RWCd6Ts6OornbL302ltFQD1q7NR006jxxSveR2gdx+JZXFHWRoAAAQIECBAgQIAAgaEWEFYLJFstkNRfY7anMTDUv1OdnwABAgQIECBAgACB1hNoq8C6EX9HZ2eKl40AAQIECBAgQIAAAQLDTUBYLfjrKfhzzPhoxTEw3H7P6g8BAgQIECBAgAABAsNfoO0D6+F/C/SQAAECBAgQIECAAIGRKCCsFka2Yhipz8btlcbASPx97poJECBAgAABAgQIEOifgMC6f35qEyBAgAABAgQIECBAoGkBYbXQ70qhn+PGSKuOgaZ/IapAgAABAgQIECBAgMCIFxBYj/ghAIAAAQIECBAgQIAAgcEUEFYLIls1iNRvY7c3Y2Awf586FwECBAgQIECAAAEC7SEgsG6P++gqCBAgQIAAAQIECBBoAQFhtcCvN4GfMsZJq46BEydPtcBvYl0kQIAAAQIECBAgQGC4CQish9sd0R8CBAgQIECAAAECBNpSQFgthGzVEFK/jd3ejoEzZ8+25e9vF0WAAAECBAgQIECAwNUVEFhfXV+tEyBAgAABAgQIECBAIAmrBX69DfyUM1ZaeQxcuNDhNz4BAgQIECBAgAABAgSaFhBYN02mAgECBAgQIECAAAECBHovIKwWQLZyAKnvxm9vx4DZ1b3/3wUlCRAgQIAAAQIECBCoFRBY13r4iQABAgQIECBAgAABAgMmIKwW9vU27FPOWGnlMXD69JnU2dk5YL87NUSAAAECBAgQIECAwMgSEFiPrPvtagkQIECAAAECBAgQGESBVg6g9F2AagwYA70ZAzGzWlg9iP/D4lQECBAgQIAAAQIE2lBAYN2GN9UlESBAgAABAgQIECAwPAR6E/YoIxQ0BoyBVhsDJ06eShFUe2b18PjfGr0gQIAAAQIECBAg0OoCAutWv4P6T4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRYVEFi36I3TbQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLS6gMC61e+g/hMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBFBQTWLXrjdJsAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKtLiCwbvU7qP8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoUQGBdYveON0mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAqwsIrFv9Duo/AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEWlRAYN2iN063CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0OoCAutWv4P6T4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRYVEFi36I3TbQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLS6gMC61e+g/hMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBFBQTWLXrjdJsAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKtLiCwbvU7qP8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoUQGBdYveON0mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAqwsIrFv9Duo/AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEWlRAYN2iN063CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0OoCAutWv4P6T4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgRYVEFi36I3TbQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECLS6gMC61e+g/hMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBFBQTWLXrjdJsAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKtLiCwbvU7qP8ECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBoUQGBdYveON0mQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAqwsIrFv9Duo/AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEWlRAYN2iN063CRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAg0OoCLRdYHzpyKnkxMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWPAGDAGjAFjwBgwBowBY8AYMAaMAWOg9ceAwFoA7gsAxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwYA8aAMWAMGAPGgDFgDBgDxoAxYAwMyRhoucC61ae06z8BAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIXBIQWBsJBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQWBsDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDAkAgLrIWF3UgIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBo+8C6o7MzxctGgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAsNLoK0C646OjrRx09b00mtvpUn3P5pGjZ2abho1vnjF+4nTHi2Obdi0JUVZGwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgMnUBbBNYXL15MSz9dk+6cND3dOGp88bp1zL1FQD3j8edTvCKsjs/y8Si7dMXqFHVtBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDD4Ai0fWB87fiJNmfFkEUT/cvTkNGfewrRl287U2SCI7uzsTJu37Uwvv74g3TJ6clFnyownUrRhI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHBFWjpwHrH/8/em3hbUt33vX9E3nPiKPGYRIlf8uznxH5REjv2e3qOoyReerZlWbKflpZkJXKwZGRLspGEJhAgBDSDmhkkZhDQzdiMAgQ00MwzdIup1Q30BN0N9AB0U299Cv9O/+6+VXWGug3n3vvZa51bdU/Vnj57V52q/d2/335+Q3XYklNq4fmi5SvGEp63bX+1unDZ1XVc0iCtccPtK++ozr/gook/V1x5dbVu/fpB/DVrfjxuETxfAhKQgAQkIAEJSEAC847ANddeVz8DX7ps+bwr+0Iu8CuvvFJ97OOfrP74Tz5Wbd26rbWqvMOcfOrp1Yc/8qfVv/sPv12995d+uf789vt/t/r4Jz5VnX3u+dULL7zYGt8DEpCABILAo489PhgT6RpfuenmW6rnnlvburzb+vXPz0hnnN8Xloy78KKLZ8TvugdG2edy+8ADDw3yf+LJ1SMlndk9/PAjdZxt27YP0uni2XXs2Wefa8z/9ddfr350623V0hNPrv77pw+ofvXX3lf9q1/5N9XvffAPq89/8aDqzO+dVe3cubMx7q233V7/thx51DGNx/1SAhKQgAQkIAEJSEAC81aw3rTlpeobRy6tvnzokmrlqvsnbsnbV91Xp0FapDlOYDDn7/3Ueyb+MLCDaB1pMOiz0MMbb7xZvfbaa/VnodfV+klAAhKQgAQkIAEI7Nq1q2IgecOGjXMOhOeqr3/zWyN97r1v8mfmuS74r7/vNwbPwHOdtulNTuDgr32zbpcPffijjYkgRMQ58Q7TtT3kW4dXr746996sduzYUb9PIJ7MZVh60ikVovsBnzlwaLJXr7hmpOvuO0cvGZpW1wnPPPNsLQL9xWc/V3Hd/OwvvLf6wH/9YHXgX32hYuLHsPDc2rXVVw7+ei0oEf9PP/aJinrec+99FR7IugKC3Q8uvrQ66MsHV+//nQ/Uef/mb72/FqpOP+N7Fe92o4aVK++s2cKX9usb3nzzzQpB8hN/9j8qykT5vvyVr1WXX3FVtXnz5qHJr7r7nur4E5bWEyxiwsUffOgjdRqIgH3CLT+6tTrqmGNrcY60mdTB2MHRS46rXnr55bGTpq4IglxrCIR9Qt/+VOb9/PMv1JNVKNtff+Fvy8Mj/Q+rrvtIeYx+jGhahquuvmZWOqvXrClPa/z/rlV3z4qLgPxOhoO/+o1BGeibowTE3+Bz6LeOqKPwvBHfTbpFzC7DT9atq6+zYWkiYNMWZeB+wv2L+HfeeVd52P8lIAEJSEACEpCABCRQzUvBeufOXdVRS8+sraMfeOSJzmbcvfv16rUdzTM8IyJpsLY1ae7ctSu+HrpVsB6KaNYJf3PQVwYvT48/8eSs434hAQlIQAISkIAE5juBt956qzrv/AurT//Pz1T//jd+u/qpn/6ZwfPPP//ffqX6oz/+kwohby4E7HEGpr9/1jlTg1bBemqaYlCQxx5/YtBP77xr1eD72MFqD2GwSawIwa/pGALlXFoqct1EPp/81KejeL23iLcILaRNmYeFUd8FEWgmDYjKIfBEncstVo60TVM457zzB6zKePyPkN0WNm3aVAutTfHiOziN6iUMwT3i9e0PL2/dWrdRpFduYfbjHz/VVrV6AkAZp/z/2OO+O1TQb8rgsMOPHNSzTDP+ZxLAOCGLklxrk4a+/anMF6vkENKp258f8NnylJH+H1ewDo54csihSbAm7VECkx0i3dgqWO8jd8ONNzXei7hnxmSW4BZbJmiUgQk8HOcZ4PU33igP+78EJCABCUhAAhKQwCInMC8F60uvvK4WmK+76fbG5nv1tR3V8qtvqI49+azqS4cuqc/9xneWVhdfcV21teVl/vqbV9bnLbvq+sY0m75k5jVuqZo+8ZDO9tzzLmg8h1mlWLrgNo8PLwELPWTBmkExgwQkIAEJSEACElhIBNb+5CczBvDjmfBf/Mtfqf7Be352xoD4L/6zX6ouubSfS+wrr1oxI83Ir2k7TYI1QhnPv5MKHAupz0xDXZhk8V9+7/frvoQAVQYsabMwRf/CavTGH95cbdmyZXD6xo2bquuvv7G2As19EIvgYda8g0SG7Lz44oZBn8e6dq7CMcceP0h3FME6T7rIdS33JxWsmTRQpvWf/vN/qy2KsbLNx5quo+uuv2HGOZxPG4YoH/GP+PZRsxDCuKwf/zNBADYRly1lwYtEV7jt9pUz4vQRrOmLcCjLUPZPhF3ux2U46ZTTZsSlffAo8NE//fgsQY6JR+MELFxzuSJtypK/Z/+hhx4eKemyH0wqWJfpUIZx+lNTYRH1c72a+mFTvPK7LFgzsQHr9/xh3AR33XgTKVniQSBCk2BNvx0WsGAv06Ve81WwxoNB0xgV32EFH232wd//o9bzuAdEwDtCxGFLv162/LKKiSM50Ke5lvK5uAHPIVtZj2pFnuO7LwEJSEACEpCABCSwsAnMO8F64+YttQvvJSedVe19661ZrfPChk3Vt48/rRafsZouP1874oSKc8rAIA0CNy7GN24ezzV4mRb/8xAfD+pNL8pNcRbDdwrWi6GVraMEJCABCUhgcRI4+5zzBs+AP/eL/7x2CYtr2C0vvf1siTURFtGIIL/7gd8bPCsi3MY545I74bsnDtLBopA1PNs+betKjpun5y88AkycjXcXROgyYBEax9niIrpLpGQtbCx/c5wmF7FlPqP8P1eCNUI7Ih4TORBuclmHCdZYlsb5sGi75vgeEX+SwISAyIPy4f4/AgIbbr3jOFvqEoHjWdRG2M/tVQpQZZtna1OEvKeffiaSrrfc1/L77pJjT5hxHMHswQcfql12l/2AsvYRrC/6wSWt9eYely3fsfzMgbbIzPB0QVtGwFI9l5c6jlpWhNOcdp4gxGSN++5/YIY75VG8A5B3OcFgUsG6T38KPnnLxPtcX/bnQrAe5kKfNawzk+8uPWlQrCbBmnINc/F+xx13zaoL8earYD0A0rDzve+fPajrXx74+YYzZn5F3+U6irZmf9369TNPSv9xPbHsQJxPW5WBiQdxfNL7Y5mm/0tAAhKQgAQkIAEJLAwC806w/sHl19Yi9OOrZ7v42rFzV4UgjUh9xHGnVfc//Hj10stbq5e3bq8eeXxN9e3jT6+PHXnCGdVsqbuqnljzdH384suv7d26+QV+LgXrF154sR6M4OWp6eWZFwrWacLd1zhrgyHY8/LHi2dTum1AGAwhHmtIMWOXdY26rCfGEawpB4O6DKBQLl6M8oBCW5ny96TB4AAztPMs4XxOzfTOu2ZYh+TjbfukTbmouy9abZT8XgISkIAEJKmtiS4AACAASURBVLA4CLDeYwzA/v4f/nEtYOWaIzbl9V55Xjru+KXVT/+jn6/jYd3a9QyV08r7n/vrL9bxJxUxclqj7O+vZ9FhefPchSDH+qs8tw4LnMOzH8+AWPzitjjzHxa/6ziiGOkh2mH5R5l2797dFWXGMcqBAIjANW6ZqBfvFjwfIzKzP0m/yQUizRAkEBfK523+z9a2iBGjBMqVrXFxJ95VVtoYS1zWZeYZu22t37kSrP/4Tz42uGbj2o3tMMGa95I4FwF1rsMjjz42SJ82aVsHPIur3zjkW4NiLFt++SA+QmXTZJUTTz51cE4WGnm/y++ybV6xmKATDEpepZge58WWtp40ZCH+4kuWzUqGtLO1bHYNzrrbUQYE46Z7CayyIDqqFzSsRSNtBLmmwHtznEM9hgXKGOfHdpJ7fd/+VJaTCSm5HaJsuR+Vcbr+zxbWwwRr0sku0rHIjpAF63zP+vaRR8cpjds8RpHjKVhX1WWXXzmjDz777HONDPOX27e/MiNOuRQcv3/RZ2hLgwQkIAEJSEACEpCABILAvBKseaE85KgTq8OPPTXKP2t78+2rqu9fsLzCLXgZEK7D4nrzSy+Xh+v/jzju1OrQo09qfHltjNDyZX7J7xKsGWzipZMPA50RsLKJh3heoHi5/fBH/nTwXRw7+GvfrAeVmDF/4F99YcbgAucw+ETctsCADzPuc3mJx6ADLw9tg2gMNmFpkQcDokxscYfGYEeEbx562Kyyx/m4EsuBF8M8Mz7OY8vgAYMBTesdxYAYL5kMNHzhb740K09cvW3evLnO7uRTT58xGEH6vHgzqFkGLJ+oKzxJO7vSivJRNgYu2wKu4XFVx4e8DRKQgAQkIAEJLAwCWFH+/D/55/Vzx+FHfGfWc+SZ3zurPvYf/6/fmVVhxKCIi8gzbgg3uLjhnMuwv59F/+BDH6mfrXhuyyFbXvHMhfCWBQSeu3hu5TkvP2vmNBCpS5fB8bzGM+ak1uw8N2NNG2nlLWXCKrVrXXLaurTkJR7PzdSVZ1lE3abnRJ69eQYun9mDB8+ZTeJb5tK2D6+oS/lcTpyrV1wzOM55o65ZTNzScpGJnmXA+rFtbWzeb55//oU6Cu5no5xN26b3gzKv/H8fwTpbKDNReK4DQmzUscsK8vIrrhqcl+8Beb3o004/s7F4CLuRB1v6IIEJyPE97zdtIa8lzvn5etxfgjWTQ6JsXAs5z1xOxPs4D1fvEehP8X3XOtJZwCzdFre90+W0u0TuyJ9t1zWLJ444F08a8d7Nti20la1vfyrzQ5iOsuXJWu+UYH3psuWD/JnsFSEL1vyWxP2ya3IAfSifl6+duRCsGQehP5XrbUeZ8/bgr35jUK+y3+Xz8n4W7/ktGRbGtbDO9+bPf/GgYckPjlNnuPLBnXsZYgkKjo977y7T8n8JSEACEpCABCQggYVDYF4J1mvXvVALzsuvni0ojtIku3btrg4+/Pg6jfUv7FuTJ8e9bMWN9XHy6hPipYcXuS7B+oorrx68lOTBqeyuDJE0XlDjxTBvWQMwBivz97HPQAMDbGUoXbnF+XnLYGLTDHjcp+XzmvZ5CQkr7+xWrjz329/ZN+OZAZLMrjw3/me2eWn9EYOZxKfccW65ZaCwqzycj3VHDnnQs4s1cZsG+kgrMxvnZS+Xw30JSEACEpCABKaPQDx3tFlJxzPAP33vv2wsPIO5PEP8w3/8C7WnnMaTWr6MZ0SeB+cy7O9n0Xhuo945/O2XvjJ4hsuD95xXfhBHSovd7Nq6PD/+hxkeicYJDKiHFXKk07SlXnlN58gjW7w2xYs+xDEmpObAs3jTxNUyHdLIbp9zGl37rGEcad3/wIOzTg0rfs7pEk9nRfy7L0KYIP6pp80UT0v3zlGOvIUpHgqYdJq/L/fHsXKnaFhw8+4RnyzclxbDZd2ymNjU3uX54/6PWBX1Q2BqC9ded/3gPN5xIsR9gTRKd95xDtuY8Mt51J+AAB95d7mtLgXvLDrxDhhcY5vL1PR+mcvVth/3SsrXJY4yATnqkIX8vL5uafWZ8+QajPhZ8OacuJ9zPL/TcQ/Gmp1Pm3cAJjdFul0iKlbhcR7vnrz3Bj+2baGtbH37U84vi9+8x+dJBF1tktMo98e1sGYSRvDJeWbB+rDDj6zvV3Fe25rheX11xF/SizhzIVjH2MYoninyb940CNaI+cGCLW09VyEL7Xk5g7lK33QkIAEJSEACEpCABOYngXklWN/74KO1mHzfQ49NRPuaG2+t43/rmJMbXYKTKGljhU1efUK8mPBg31ewjpcEZrcya5oXMayi4/u8ZTY5bpvYxkstx8vBofyyzHEsDBDPeWFbeuLJM1x8kW+e/Y11SORJPU865bR6jbInV6+uli2/bIbVMq4uCVhOUK4s9iLs8h3xCLyIf+C/fnCQNnUM14+4BiyttHH1nUMe+KR8lI26MJDDbOMoc97+2X//nxUv3bwQ5nW9yhfKLFhH2szaxg36OeedP2sQsWmdrLYBhFwH9yUgAQlIQAISmF8EwsLxH//cP231ahPPAG2CNTWONR//8I9Gt5TGTXA81/CcxAfRkmcgngMRORkUxj3nuCEL1pHHXD6L5ue2XLYsWEe+sLnyqhX1s2p2gczxbN2aLeU4xvMwz7YMsvPMloXTLGLl/Nv2ET+iPDwzIoghBJI+z7RMEI3jPH/mkAUdzuF5lzg8gzZ57SkF6+w1iLbFUo9lc+5adXf9DBv5sh3m+jaXK/azaPn666/H14Ntfn7P6/IOThiyg5AXZWTSaARcy8b3bGln3iVY+xirzfwuQxp4fuLd4Ywzvz+IR9n5jveYcvJC5DPqFkvuKM8wwTquadqD/BG54l2C6wQrzS7PS8PKhBU76fLpstrPfeNr3zi0TjZ7R6B8XQHBNerM+xYBsTXybnqnifQ4J+JS52Ehu5CeVLDOfamrL+a2zGXD4j/q1madzffRltTvuutvmFG1aHuOZcF6xkkN/2DBjrevYMa9rilwDcY1SfvFesFxPbBtC21l69Ofcl75mmUCD9dkvr9l8TjHG7Y/jmDN71n+/cD6PEIWrLn/c98P3rBpCvkaYJwj/8YsdsE6tzccS4OBJp6jfnfrbbcP2maS361R8/E8CUhAAhKQgAQkIIH5RWBeCda3rLy7FpPXPDV83ZzcDKxtjZvwcAd+65335sMz9kmb88irT+DlMl6O5kKwZsAxz1rnZSFeZCOf0iKCQaw4ltd2ol555jCDm1mQ5jjrE+ZBBdKKwEthpNtkTZxfWhmQyyG7V+OFMAfW8Yt0y3hxHsJ7nIN7zRzyiysv8ps2bcqHa2uViMsWoT2Hbdu2D6y7y4GAUrDOPEgDfnkAgsHiMjCgyaAxny43cWU8/5eABCQgAQlIYHoJfOnLX62fTbCMagshInQJ1mFR9zM//89GFt4Qk/KzTds+zzWl6NJW1vi+FKzn+lk0P7dFnmxLwTovmcNxRMkQ96lvTI7kWLYMbXoW4/k5C8vhAjnn37af4/HMWAYE5ODPpMsc8jq0iCFlKK3Cs2CN0BTp8n6R1+ONdLJ7as4dx2V3tlpG0G8K9J8oAwLQuCFc4pMGk2QjMHE00qVNS8E5WzzDP8JcrWEd6cU2i5zDBOu2ycNRn9jyzjWpOBvlatuW/SbaJr+LcZ11hTwRYxSXxZEW77f5fZd0hoX8bjkpkwM+c+CgzzBZqC1g4R1tQDnHCeUk6dKCfpx3OkT1o5ccV082z9cR7RLLVJVlY+JBlB3PDBEiPtu2ME7ZyjTa+lOchzid34npZ4Tc3+ZCsGZSApM08ofJ9ixNwO9DvhfDKXuSy4I1k8sZP4l+SrxyzIM6xfG4VhSso8WretJN9MUujwD7Yoy+h9eMSHvY/Xb0VD1TAhKQgAQkIAEJSGC+E5hXgvWKv7OQXvf8bPfWbQ3ButVHn/i9WoQ++LDjqrvvf7jt1Pp70kawJq8+IV58eAifC8G6aXAqu4xizawy8AIWLwF5ZnkMiHKMF7MshOc08tpQ2f1ffon+ztFLcpTBPuuWMau5tDDpEqxxy0Y5+bStKYalQtSpFMupSxwrBzcpGFYDcZwXrqZZ9XldwezKLb+cU6+mwPm53SexZmpK1+8kIAEJSEACEpheAv/tg39QP1/w3NQWRhGsGUj/uV98ex3sp556ui2pGd+vuObawbNNPONg9cZzG4JtfBfbNpeoMxL9u39KwXoun0XJIj+35fyzYN3mjjivmYq4EQFRPupK/ZuswWDGsxwfLNRHCbQNXHlGzRbCOS7id847juEOOb5HMHnllWZr9zyZNAvW2QL7u0tPimRnbfMz9oknnzrreNsXWDNH+fLzfpyPm+04zrapH8S5bdv8DB7CBO9HOd2mSQCkB/c4L96ppkGwzha4lI93AETsT//Pz8wS1D7+iU+1oZnoe95h8gRi8s9CIZOYg1nbJODImHe1OLd0fR3nlFu8C+R3Ht6rRpn8MReCdV53vGk99FzWqBfbpve+fC77rJGer0Pi4fq9TyjF1ShT9OUy7WwRnNuU80YRrMv0Rvl/WH+KNA4/4juDvpK5zLVgHYxG2eYl1ShnKVjzXb6H3nvf/VGdepvHFrDyJihY70OUlz5omgS278zJ9qJP09blhKXJUjSWBCQgAQlIQAISkMB8JzCvBOtJLKwvvfL6WoA+8oTTqxc3bh7aXtNoYc2LblPI6/6cdfa5TacMXirzTOy8bnbXbHhmNceLYp5Ri6u++J4t1tu3r7yjVfjOBcuDaaWFdT6v3GcQC/fg2aq8S7AO12k5HcoY5caioyl87OOfHJyTB+SyYM3M9baQXSZ2udBri+/3EpCABCQgAQnMLwI//0/eFpm7rFpHEaypdbiszlZ1XTSYIBjPNoip2dKMeE88uboWWeOceqJig8vnpjyyYD3Xz6LkN4pgzbIuTQE3rVGnzx7414NTyiVv4In73zaReBCxxw5CHcvbZJEjD+xnQSRcNjdlh6viqFMWrPMzaOk9KKeTRXwEmlFDFsiayoeYFeViG1aVo6bPeVjuRho8axMyF0TptoAHJp7h+YQo2iVYszY5rtabPrFGc1teo1pYI6xEfdjiojwHJg2XgjJrdUfgXaqpfHw3bBIFdeBaz/kz4TYL/vmdJ1u0R/55i8epSAtL4K7A5IvSspx7w6jvdHMhWMc9kjKX3sXKske92HYJ1rQn7ZNFeOIwOby0yC3zGPZ/2VZRJvJCXM0Bi+sQ8OBaTn6OY/m9PsefZH+U/kS62YtDOQHj3RCs4ceYRhmaBGve3YN7eY/73F9/cXCMewch38sXu0vwbHU/7jIaZds0/Z+vj0m9LjSl63cSkIAEJCABCUhAAvOXwLwSrMddw/qtqqoOW3JKLVjfN+Ka1NO4hjWDEE0hr/XETPemEC9n+cV2ybEnDF7MeNljkKjtE/HZRmDQLwvH+RzcRX7v+2e3WpWPIlgz4MJsaURl8ikHDyK/LsG6aVAiDwS2WUlnwZp1CSPkwUIGa9pCtgrCbZlBAhKQgAQkIIGFSyAm9/3UT/9MozVv1DwEa55pcIPZFmLwfNT1HJlcxwA9YkubKPvcc/uWXOEZatQB+CxYz/WzKPUfRbDO61NnZtQ7ngfLZW+CYRyPLc+6PDvjuntSSy6eL7Gkx7MRlqshIEUesc2C9dnnnDcoK4JkW8gWx1mwjufg/CzflEZ2Sd7m2rspHmWKcrdZ2Oa2GmbV2pTHod86YpBHPIMz2TbyHUdgJ/0uwRoX8ZFuuW2z2I8yjypYY7nPuxfC85133hXRZ23zew9LB0Uoy5X/Z5JJU6BsWUiLOLRZ+d6TlwpgMm1XOOLbRw14ta0JzUSBPFE68saaHKvkUcNcCNaIpZE/73ZtgTLHeVxDbYF7DPeGOJct19pcv8chxt34w5ur7M2LvJjsQkAYz9bj5fJTnBP3m2H3gra65u/H6U94Ect5Zy9kpDnXgjX3L8Yryg/v/vzW3Xf/A60TO5oEa66PfB+N+392F47HhAj5Ohv195K43/7O0RXXfPmJvgXD8hj/58ks2R398ScsjSJ1bvO1yf6wwFhNlKnJq0aOn9s2GzDkc/rs5+shGwv0SdO4EpCABCQgAQlIQALzm8C8EqzXrnuhFp8vW9EszpZNsWfv3nrtatavbnIJWJ7P/8uvvrHOg7z6hHgp4mWgzeUX6Wdr5+zSKg8S8tLUFLJgHWuWlefFy0h+seXFJL4fZ5vT5qX78188qDMdXkCoRw68lEWeTbPxsVDI7OLc2OZjbYI15zSFLFgzcNYUsmCdX5qyYN3Vl7KlU5Nb8qY8/U4CEpCABCQggflJgGeC9/zML9bPNk3eXaJWeUD51/7tf2gVjbFg4plnrp8hspvbc8+7IIrVud2fz6JknEXQXJA8+S8s3vJx9rsEa8QIXGfnZ8Z4jowtA+/DrG3LPLFazWWOtGIbgg7/Z8E6i7VYq7UFhL9IKwRrJnHGd4hqXWHLSy8NzsVqbdRw+hnfG8TL7yI5fl4zfJx1jiMNxNqoR3iFQriO7yjDOOHdFqxHLSuTX6OO+V0svmvaNgnWvC+W/Zk2efbZ5xqLEhNpSH9YX/jC33xpUMYmi1UmQpT9HnGP62HcMBeCdX6XZAmAtpD7COUvA2JlvjajLVj3uG3yT5nGJP+//vrr9WSXyC8mcOAJIr5jMgz3p/KT+0AcY0mtccO4/Skzxztb5B3bvIwY7//xPR4vRg15XKNtybFR0moSrIl30JcPHvCNyQDZu0QeV5hUsM6/AdGWo2zzWA+/XREHF+yjBPpsxBnlXjqOYJ2XmCOPcnJMV/luve32irEVPm3lymMv3GsMEpCABCQgAQlIQAISmFeCNTOPDz36pOqI40Zfl23cJj782FPrPPq6/8ovlNMmWLPWX7zU4Nbt1NPOHPrhxaYpMJDGiyEvsuVgBnlgIc2LToT8wlsK1qWrcV76sLhgYAxrDtwgZhd3+cWS9CN/2DeFuRKsu17UwoKKul9+xVVNxfA7CUhAAhKQgAQWEIH/5z/9l/q5inV62wLPS9ky8B+852crJrmVIQa8H3nk0fJQr/+xwoxnP4SBUcI0CNZtbta7BOuoG4IUz40M+ueJh8GB50Wsz0cJuKWOeLGNZ2hEM9LJaz1nwRoruYjTJAhG/qytGueFYL1r167Bd02iW8RlC6uIjwgwajjnvH3uutuEoiyIjOsWlokcUS62sbROtuwdVwTPYiTtkAPrtJ92+pmNn7YJvhF/VAvrOH/YlneGXPd4J2KCblsZS7e4uKXOaSAW4565K2SRiX7eNdkWq/NIv7RY5l0mjrElLda07XoX6irXXAjWWdiEYVtAyI2yl1bmWF8jCsdxtlwzbRMA2vLI3+M5Y8U119afYa7KL7zo4kHeTDwg0CdyeUbdHzaRJZeR/Un6U+kGftSytU0QL8vE/7ld2+5DTfHK79oEa5YWi3J/+Stfq6PlSfzZs9qkgjVu3COPcbZ5rfK8tENe7qKsZ/7/gM8cOMiX8ZRhYRzBmrRijIU6IUKPGvC8FxxYeqAp8FsZ53SNmTXF9TsJSEACEpCABCQggYVJYF4J1jTBxZdfW1tAP7Hm6aEt8uprOwYW1uwPC4+vfqpOmzz6Bl7oR3n4ZuAqzstWDftzkPDM7501yHPpiSf3reqM+Lxo5IE56vbIo48NzukSrLM7NlxqNU0ayAMn75Zg3TZ4SiVxYx7t6RrWg2Z3RwISkIAEJLBgCYQLap5dhgVc7oZFdilAhgj30+/5uQqxdVhAIMFil88wy6Q8WXGUAW3y3p/PoqSfB8FzXbOFddsz1yiCdU6TfYRA3F/HpACe19qsvsq42RKTQfhYSzmfl61as2CdLSfbBu1JJ7sOD8Ga77MI0iU84sI4nkHLdVpzOcv9/C5CP2kK2RKRPNpctTfFzZM5afOoww8uvnRQXsTrtsBa1zzz82GNX0JcK5SlFKzb0hnl+1EFa663uPa6XPxnq/dJ3Olm8Yq6slQAFrqjhNxvmqy2SQPhOb+zZsti3C5Hf2LLhJuuNdRHKdNcCNbZhX2Xi/f8vpv7Fx4Y8uQh6r9s+eWjFL/znOw6GTG8K+T122ON8XdCsJ60Py0EwZr7Ttz72e7YsWPQ90svBJMK1vQt8ik/cY3haaI8xv95zCPfa7lewn15V3/K11U56aQp3riCdZ7UUk7+aEqf78qJSm3PKHmZua57aVs+fi8BCUhAAhKQgAQksPAIzDvBeuPml6ovH7qkOvbks6q9b7FKdXu44+4HagH6oEOOqdjvCqS15KSz6rTJo2+IFxNe8Ltmi+ZBondKsM4vyXlArawzg4G80PHJ6wMy2MR3uPxqC8yMjkGOPDDaJlhnSwDihQVCmX52W/duCdZtgxqs5xV1pv1HecEs6+f/EpCABCQgAQnMLwIhNP7v/8evjeRKFvHowx/9/2ZZKoXl2/89xPVz0MkDwohTedA7zmGLKJUHtNsGjnMc9uejYM3kgXh2LS1Vo35Yp8bz2qhrJ+e1ZdsEgSxM5+drrC0jv661pbNr1CxYh5t40mDd5LaQJ02O6vadtOgPUb5s6Vfmg1AR57HfJNqXcR588KGBKETc7H0I0TvS492iqf9itU57xnl4KiC824J1TFKhXHn92bL+WZQfx+qddBBvot5sr7xqRZl85/95ogBunJtCfidkIkYO9NXIv20iQz5/lP18H2q7PoelQ7woF+9bbSJ6tqDOEyyw8M/xs2XtsLy7jpfvsl3XBxNXogwhprMkANdi1yeuBeod5yGUjxL69KefrFs3yC/yzVsmb0R9uPfFMX5DRg3728KacnBfjXLmSVy44c5hUsE6p5H3Y1worOnzsXKffhNlZDvMKwTroufzR5nQMq5gjdeKnEfX71DUJ0884/kEYb4p5Ik1Tcf9TgISkIAEJCABCUhg8RGYd4I1TbTsqutrIfr6m1d2ttiGTZurbx51YnXIUSdW7HeF6266vU6TtOcixIsJD/fTJlgzez5eeCkfLrLKgNiaB86yq748ANBWtzxIktPPgjWuDyOQX34RarIEYL2pzPXdEqx5sdqyZUsUfbCNgWbq0TTjnwEFXjr5tFkMDRJzRwISkIAEJCCBeUGAAWLc9PL7f+DnPj9Rme+8867qf/0H/7j6X/7+P6oQkUYNWQBCMG0KJ5586uAZC2FwVHe+81Gwxso9nicRC5tCHuDHVfooIa/B3LRMDgIqVnqRdxasseTLz91N6+5mAYs0smDNms+RLs/guAkvwwMPPDQ4h2flcSzVspVtl3vhLDBTHurbJZbhOjbKzZZrJE/mROCjP8Y5WcyO+sVkEM7JYn8WrEuhNeJOsh3VwjovYwSzJt5YV2cxhnV+xwlZWI11jseJj6enYMu2XIqJfplF6VhbnDyyaEb92sSmccrDufl+NalgTTrZ4peJGmW49rrrB3Xn2svlP/KoYwbHRhHeyrT5v+2dDlbBvG3pBSYa5ffZpvtBU558F9cLdWoLbWXr25/a8uP7fD12TXrpSuOdEKzzsgvRTmxLV/DvpmANozwGQ19h4k9TyG1KPSj3KGFcwZo0mfSSmTX9DnIevyfZwIA4baJ7vs/w+2CQgAQkIAEJSEACEpAABOalYL1z167qqKVn1gLzA4880dmSb+7ZU/HpCqSBFTZpkvZchPwi2ibqks+7YWFNvnnGPy8SWAcwQ51BV2ZFZ2sOBluyi7glx54weGHh5QKXcTH4ySx1LMXzC02eYZ7dhTPLmAFaXnIJedCEgb5Vd99TD5gwQHb0kuNmpEn6rDuV046XeNg3hblaw5q8GTBkjSxcEyKuH/hXX5hRvqYXyyzif/6LBzUV0e8kIAEJSEACEpiHBPjd//v/8GfrZ4FxRRCsRkPIYaB3nJDFF55P8HDDcxxiENuDvnzwjOeTcco2HwVrJjfGMyjPg3jFCYGX51yeu7N4zLPmKCFz5rkYQQzB78nVqysmdeY0yZ9nUto1BFrEyigXW9JjEB/hM6+jGudkwZpn7HjG5TjPoPQ3ntkRRVk7Pb938Kw9bsiC/KuvvtoanefXKCNb8mWdVQR36kP/Ou74pTMElzgvLxEUGWQ35pyHi3YEN94NWFs71wtX0BGoey4H7Yxo32SlHXFG2Y4qWDNxNZcN8R4rU8pNGrRJFqsRMqMvjFIOzskCHhbtcB72KV3c8z4VnLjH4CabSbNM2sgTkDkW1wl553cmjg3Ll+Oj3LviPkeZ+gjWuXykxXsY4h0iPctdRZ3Zlt4GsqcAPIiNUrdyElHbOx3XQM4bDw54dHjhhRer1WvW1OtU535DG8Q79Cj9Iu4DXYJ1W9nmoj+1lXG+CNbcH/J1SVtxbZbh3Ras8/rrlJE+g0U49zn6E9c5fTf3NfZH9RYwiWCNt4vof5Ev3vb4LeM+jgcIvAXkSRucx+9bW+D3N9KaZFJOW7p+LwEJSEACEpCABCQwvwnMS8Ea5Ju2vFR948iltQvv21fdN3ErrFx1f50GaZHmXIX8MjqNgjUvbHl2erwsNG0ZAMoBkTgPOEScXOf4LrsDJ41sARLnxJqPt6+8Y/DSEsfKLS/+5XcMDBHiJYpyNIU8uMFahE0hz2jGJXqE//Sf/9sg36Z65jK1zThuG0CIPNxKQAISkIAEJDB/CTBYy/MAwvXhR3yndXmTXMObb/lRhStx4v3rX/93tQiajw/bR+zIYmN+Hin3x3XrOx8Fa3hh4VfWvenZbVR34KTJBMWmNHI+DN6HpX18H8/BPHcf8JkDZ5UrzmObhbQsWJM/EzyH5U8aTAZFSB83ZAtvLKO7woUXXdxZj1wn9hHXyneJSB8uTc/2ZRpNokdTv0dU6RNGFazJAw9SZTmb/kcgQ0gdN2SxuSndpu9gkgMTjksBqSke/SuHPDm56fy273IaTfv5/bGPYE3a5SSQpjLBI08UKCc6NMVp+g4vFTl0vdNl1/xNacV33Zct2AAAIABJREFUXM/PPbc2Jzt0P951JxGs56I/tRVwvgjWlD+3HW1Rti3nvNuCNWXAmCD6yijbNg8rTW02iWBNOtzHog+OUiYm0LUt80Z62fvLsN+dpnr4nQQkIAEJSEACEpDAwiQwbwVrmmPd8xuqw5acUltHX7js6mrb9naLgLL5tr/yanXR8hV1XNIgrbkMeVBp/frnW5POlgV5Vjwz9+NFoM21Vh5M+NGttzXmEeVoerFlkCi7GYz8Yst6faxZ1BR4wc4z8yNObMmvaa1nBlZLa58QrMkH64koc6TFlsGeGPRjBm4+hms1QgwSNtWV49nq5ttHHl3HKf9kET+7B8uCNRZLTS9rlDu7Ti/TjoFsyo5rdIMEJCABCUhAAguHAAOz2eMKVpc/vOmWWZaEnMfAb7ZW/bf//j9OJGpBj4mELJPS9PzEMwffj2NZHS2yv59F47mNMuaQ1xZtsxjDCjeeBWGeA+6Zh4mgeO4ZV9xEdM1ljvzhy0RInnFx7xvfsy3dQGN5+9vv/90Z5/A/7Ye1dsTFaq0Mz61dW+Xn0Tg3ttQpi3Nl/K7/s0VfrKnbdT6TOrNnpChD3sLl69/81gwvTW1pYk2d48Y+afB+9Pobb8yKikUtx+NctuO2aZnohg0bB+k1WV6W5+NlqksIRPiKdbfLuF3/845W1i3Xs22/aZ3sl15+ecZkiByX95m8vnOUKU/gzecP24/4bdv8/pS9d7WdP+x7rKfbOHEfKcUyrPyH1aHp+GmnnzmjKF3vdLTdGWd+vzMf3gNZs3rcEPza3nVJr6lsc9mfmsqM94rghuXvJIF7YKQx6lINTflkd/CI02Uo12Nmfe4y5ElPvPf3DdFHP/6JT42V1P0PPDj0PstEqSbvFV0Z5aUWxpm4RZpcU1lojjbLW5592iYp5XLle2ffe3dO130JSEACEpCABCQggflNYF4L1qBHeF56xnm18Hzw4cdXV1x7U/XMc+saB2z2vvVW9eza9dWV191cffXw4+s4xCWNxRxw/YdLJtzELT3plFoYZiBwWODlF/dmDDIxsIbwfP4FF1VYSmdX3U3p8GLLYC1u6cpBKF7gcVXH4ADupZi1XQbccJMPL2iTDs6VaXb9nwcI4zysMBiIZJYyg2ZdLhQjjlsJSEACEpCABBY2AZ5h/uUv/+vB4DsDub/yq/9nxURAxMmf/kc/PzjGutUHf/UbvYU2iCIAYfXJsxgiH+5p8fKT129d2ORn1g43vFidIeRi8c5zLm3DM+ikgWdWPPYw4RPOPMeWz6E8H3JOLG3TlBfpMKEVi88I2dMQZW0K5MUzOsvSMHEVa2cEmGHP3U1pld8hfNBXEcNGdVNM+XmeZ8Ip7wJ8vn/WOfVzcSkWlvmV/5Mn7xXUjed/nvGH1QuRg0kNlAGPAO9WQMBnMgLLIsECl+1zIcjOZX22b3+l7v/0GwQr+mjZd+cyv3cqLd5Ha9f855xXnfDdE+trnokH73ZgogITGliGCzf53C+wZH83++m7zcT8JyOAqM5yFvyu49qdCRHcI8PL3GSp9ovFbxi/fyuuubb67tKT6v5Nfx91PCRPOmN9bIMEJCABCUhAAhKQgASCwLwXrKkIL6r3PfhodcRxp9UiNOtRf/3I71bHnnx2dca5l9Qf9vmOY3w4lzjENUhgGIEmwXpYHI9LQAISkIAEJLA4CSBWsKYrltOI0tn6iP1/9i/+9+oP/+ijtYCxOAktnloj6mI9yOe88y9srTjCevQTJhu804E1mCN/RAiDBCQgAQlIYH8QyB7z8OZikIAEJCABCUhAAhKQQBBYEIJ1VAYLktVPPVtdfs0Pa7H6kKNOrL50yDH1h31Ea45xzmK1NglWbscjoGA9Hi/PloAEJCABCUjgbQJYieJ2l2VDcBmN5a9h8RDAijVcwiIIY41bBtynhljM9t1yj/qhD3+0LgfL/hgkIAEJSEACc02A9evj9y4vDTfX+ZieBCQgAQlIQAISkMD8JLCgBOumJtizd2/FxyCBPgQUrPvQM64EJCABCUhAAhJYvAT+8sDPDwbo/9Wv/Jt6OR0mMeBGGnflWdA+9bSZ6+W+k9Rwrx1Cwi0/uvWdzNq8JCABCUhgERDArTm/M/wWDlv2YRHgsIoSkIAEJCABCUhAAgWBBS9YF/X1XwlMREDBeiJsRpKABCQgAQlIQAKLngAWZb/5W+8fiMEhCpdb1gJ9twNrHFMurazf7ZYwfwlIQAILi8Arr7wymKB1/fU3LqzKWRsJSEACEpCABCQggTkhoGA9JxhNZKET+IvPfq4eaHz/73xgoVfV+klAAhKQgAQkIAEJzDEBROvjT1haW5VlofpXf+191Z8f8Nlq2fLL5jjHyZJ7/Y03qgM+c2D1sY9/stq4cdNkiRhLAhKQgAQkUBBYdfc99W/L17/5reKI/0pAAhKQgAQkIAEJSOBtAgrW9gQJSEACEpCABCQgAQlIQALvEIEdO3ZUuN9+eevWdyhHs5GABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsAQUrBds01oxCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAtNNQMF6utvH0klAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAhJYsATmnWD90tYdlR8Z2AfsA/YB+4B9wD5gH7AP2AfsA/YB+4B9wD5gH7AP2AfsA/YB+4B9wD5gH7AP2AfsA/aB+d8HFKwVwJ0AYB+wD9gH7AP2AfuAfcA+YB+wD9gH7AP2AfuAfcA+YB+wD9gH7AP2AfuAfcA+YB+wD9gH3pU+MO8E6wVr627FJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgrWi6zBra4EJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCCBaSGgYD0tLWE5JCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAEJCABCSwyAgtesN6zd2/FxyABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlIYL4T2LrtleruBx6t7rjnoc7PXfc9XG3YtGW+V9fyS0ACEpCABCSwCAgsKMF6z5491Zqnnqsuv+aH1XGnnF0dctSJ1ZcOOab+sH/syWfXx1Y/9WzFuQYJSEACEpCABCQgAQlIQAISkIAEJCABCUhAAvOFwMq7H6yOOfmcsT4XXX5dtWv36/OlipZTAhKQgAQkIIFFSGBBCNZvvfVWdd9Dj1VHHHdaddAhx9Sfrx/53VqgPuPcSyo+iNV8F8c5974HH62Ia5CABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkMM0E3njjzeq7Z144llgd4va5l1ytaD3NjWvZJCABCUhAAoucwLwXrLe/8mq19IzzayH6q4cfX1153c3Vs2vXV3sbhOi9e/dWz6xdX11x7U3VwYcfX8dZesZ5FWkYJCABCUhAAhKQgAQkIAEJSEACEpCABCQgAQlMK4F1L2wYiNV33PNgPabJuGb+3LzynsE5a9e/WJ2/7JrB/4rW09qylksCEpCABCQggXktWK97fkN12JJTauH5ouUrxhKet21/tbpw2dV1XNIgrUnDTTffUp1/wUVjf55cvXrSLI0nAQlIQAISkIAEJLCICTy8/rXq/Ls31p9Xd4+/1M0Nj2+t417+4P5b0/CRVMbXJihjn+Z9N/PuU27jSmBUAnvfqqoL7tlUX8ernnll1Giet58JPLtlV3Xeqo3VYdf8pDr4iueq57fqfnc/Izd5CSw6Almwfmz10431v/PehwYC9fZXXqt2v/7GDNF6xQ9vb4znlxKQgAQkIAEJSODdJDBvBetNW16qvnHk0urLhy6pVq66f2KGt6+6r06DtEhzkvB7H/zD6u/91HvG/iw98eRJsjOOBCQgAQlIQAISkMAUEtiz963q2kdfrr502bPVJ85aXX3qnDXVMTeur374xNbqpdfenNMSn3LrC9X/e9Jj9ee5LbvHTvt/nLemjvtHpz4+dtxRI5x224uDMq57eXYZd72xt/rBvZuqQ65eW/OiLH9+/o+rY29cX01Sp1yuprwR9r978/Njfy65d3NOut5/atPOWiz86pXPVX9yxhPVx773ZPVXFz/9d2XfNev8/AX1vvHxrXU5qC/1pq+Q1hUPbqne2NO9ZBFC5Y9Wb6tO/tEL1YE/eKr6w1Mer8vwxWXPVKfe9kL18o72vnbuqo0j1f+6x17ORR7s98l7kMgEOwiyZ658sfr8JU/XvD7+/dXV3y57pvreHRuqrTvb69uWFdfqX1zwVN0/ab/9GWhP+tBnL3qqLjvt9ZHTn6j7/Y/WbJs4691v7h1cX1xDcx36Xp9MGll6y/PV536wr83oo9wjh/Vx6sI18p3r19X3BK6RPztnTfX1q9ZW9619teq6Qm5+cttIffyM219sRTZpm618avugTeL+/PgLO2bks33nnmrFoy9VR9+wrr7u6Q/8XnD9cz98k4usIzy87rXq7Ls2VActf7buT7DhPsBvzZqNO1tjzgUX7qHkzXXINXjABT+uuNfe+fT2iv7SFfreO/rkTbko46Er1lb89sGcezb3ECZ9cC11hT6/7X3v913l2p/H+txz+947cr2279pTXydc//T9rrDz9b0jXfs8Bzz6fHdaOZ98XV/zaPNvYz5/rvdZxvCFDZtrIxsMbfjc//ATAzF6VMGaciFan3fpijrucaeeV+3c1f28Mtd1MT0JSEACEpCABCQwjMC8FKx37txVHbX0zNo6+oFHugcYdu9+vXptR/uLG4BIg7WtSXOSBzYF62HdzOMSkIAEJCABCUhgYRPYtvPNWlAJkaLcMkD+3Ja5Gxic74L12pd21yJNySn/j3gzaWgSrF/c9vosMSnn17aPmJzDbT+eLUqVcRGjmgID+YhL5fn5f8TMJzc0v78gnCDa5fPLffoaZWwK5blt/3/l8mdnRe+b96wER/wCYb6tnPE9AuA44fTb902mQPDbX4E+hyAe5WzaIsp2S5TNpdufgnWf65OVuc66c0NnnRE7N7/6RmPFECaxTG5iFd8h7raJ3oiQcV7XluukKfRps5gIFPnSt57ZvO++z8Ql6h7Hm7YIc1hpN4VL7tvcGZf0YN+wOlotzjblV37XxgXhnWPl+fE/k292tojWfe8dffLmnjusP3GNPvHizIkFwb/Pb3vf+32U4Z3e9rnn9rl3NNXzqodfGvS5tt+1iMfvZvTHYdtl98+eiBbp5O2WV9+Y0e+ZVPZOhjVPr61OP2/ZQJyOdajz9tEnn2os0h337LOwvvfBxyrO43P9LXcO0uvjabIxU7+UgAQkIAEJSEACPQnMS8H60iuvqwXm625qdmHz6ms7quVX31Ade/JZ1ZcOXVKf+43vLK0uvuK6auu25sGb629eWZ+37Krrx0aaBetDvnV4tWz5ZSN9fvzj5gfLsQtgBAlIQAISkIAEJCCBd40AFnGlUMEAeFhwxsAp4sVcuYedz4I1FlOl8AG/L1z6TG0xGLzYXv3IeEJkdIK5FKwpW4TbG8RqhBosJHO52S8ts3e/sbe2ss3nIU5jgZq/Y5/+88quma7e6WdY7+dz6VMIdGVf45wslFF+xLIct2u/FKz75h38xt2eVIjV9Juw2C3L3yY4lXk++JNXZ3DYX4I1lrRYceZy0sfDsjZ/jzXxuGF/CdZ9r0+s3nPd4Eu9y3skbJosW8sJHQi8WGaXQi/Wsk2hZJ7LkvebhNm+bZbT3/TKTEEegb4sG/9zrSFS57hc/9wvcrjg7k0zzolrAbbl/bRJVCvzzvnl/SYu/G6VeTCRpyw3bVe2ad97R5+84cf1lutHuWHOfTt/z72Y9s+hz2973/t9Lsc7ud/nntv33lHWk2uIdol2GiZY3/zk1sG5EadtO4pgzcQPPKfkNJqurbLcc/U/ltXDxGqE6zbBOrsEzwJ33lewnqvWMh0JSEACEpCABOaKwLwTrDdu3lK78F5y0lnV3oapwy9s2FR9+/jTavEZq+ny87UjTqg4pww8DCJw42J84+bxBsayYL1y5Z1l0v4vAQlIQAISkIAEJLCACSCq5gFNBLEIWFhli7/SWjfOG3c7nwVr3HEGL4TebHmOJd45d20cHEckweJy3NAkWJM2lnrDPrgyzuJMrA/Mq0cePMcNM4JGBNyeI6JF3UrhByvgfIx8IiDyMBif8y0H1MvB+NKddGnZhniUA/lF/rhlfnH7660fhIcc+uad0xp1H6Eqyss286AtHn1+R+0qNs4pRfamfBCkchsSd38J1tlKkTzhHYFek/soYuK4YX8J1n2uT0TZaA+2WPumS6SeRJEnd3Ct55AnhHAt8H8O/J+vkYfTNcR55BX5I1R29XEsJ8vQt80i76b2xGV3HKfPcb3mwH0m1+37d2wYHKasEZctomLmyuQWrM7jHNLJ13BfLvm+hpiereM3FqIiZcuh772jT95M2gkmbHELngMWubRFnMOyAzn0+W3ve7/P5Xin9vvec/vcO6gjv9G0GUtesDRIvh5oo2GCdX52YFmRruufZ7NhoZwkQhneScEaN+AhLl91w60DC2kE6tvuun9wrE2w/sn6F6slp5w7OC/SylsF62G9wOMSkIAEJCABCbzTBOadYP2Dy6+tRejHV88cgAHcjp27KgRpROojjjutuv/hx6uXXt5avbx1e/XI42uqbx9/en3syBPOaHS79sSap+vjF19+7VjtsD8E6zfffLN6/Iknq9tX3lHt3j3zZTYKt+Wll6pbb7u9uu76G6onnlxdvfHGeOu37dmzp3rmmWfrPMhrV8P6Na+//np1/wMPVo8+9nhFmQwSkIAEJCABCUhAAjMJMIAfA95N6xsikuVB8b7rM5N7k2CNKPH0pl31oC5iSBY0Zpa4Glg7ZrEOAQwBiEH90jqwjF/+j9tU8mTAOUIW5GINawaJgxXbLFZHPLZfS+LLMCvrUfPO6XftZwuzi9P61bCJsmNZ2DB3tq5/7g8bt+8TxbIlddvAexZIjrj2JzOKmSc+lNbbcSLtH2Vkm8V+ROo4tn5r8/tFpFNu++ad06OLIErcumZb3dfoA7nfxLmslRvlRQhpCtQjzoH7sICoHefHNl8DbfEpH2IO6ycjLFL+zLaMxzUf6bMlbhmY7JDvC/TjtkD+XENYyUcYR7AmL9ZdR6Brc6VNun2vz+xqvW1d7dxHqf++O0ZVr4kc3HAF3BQuf3DLgG2ZBwJVxB923yjTnos2i7y5P+RA+2XxjbZoCsvv31e3nAbLI0Ta9OHMLNKh7fJkDNbdjdCHS45LGZp+v5g8EuWjTdPPwIwJW+Pet/rmnd1J44WiKeDdIMqONW0O+V4+7m973/t9Lgf7sOC3mfsma5WPIriOe9/qc8/te++gjo+lfhRtkrdtv5vB6vBrf1K35Sj39IjTtn3yxX19OpfhnRSs172wYSA2l+tUdx3Lddr+ymsz1r5GoM5it4J1puW+BCQgAQlIQALTQGBeCdZYQR9y1InV4cee2sru5ttXVd+/YHmFW/AyIFyHxfXml14uD9f/H3HcqdWhR59Ukdeooa9gfeedd1V/76feU3+uuvqaatXd91S/+mvvG3yHqJzDDTfeVP2rX/k3g+MRl+3BX/tmtWPH7Lpfe931g/MF5OZKAAAgAElEQVSXLb+8+tGtt1W//r7fGHxH3J/9hfdWF/3gkjqrdevXV3/woY/MOM45n/zUp6udO5tfsP/moK9UsOCjpXluMfclIAEJSEACElioBBCRYjATQYIB4qaQLY9wmUvIwihxs9VapIHQxbH4/PCJt10HZ8Ea8Yy0OCfKEtszbn+xsUzhnpeBXYSaLEhGXI7d/OS2KMqsLcIX9cquZikD7nsZWG8SrBloj/TJsy3c89wrg/OaLGcnybstr/w9Ik+Uj3rk1kSwiGNLb2kWUEkrs8wWoFlMKt19RxnyGpwIHjnk+E0CaJyb2yPnT1+I8rf100ij3PbNm/TIM1uwRlnYIgxd99jM97PDrnlbfOB4Ft/KsuV0cnuV5yE0xLlY4tG/+b9L3KCf5XMjfmxx0Y7FfhluSCIYa463BaxPuZb5bG0QrB9e99qsNc9xjc11t3XHPhfvpXAb+T36/GuzXB9T9s9e9FTVtO533+vzoOX7JgTQl9vCARfsc8eMgE2g7eIexrblVlq7nA7+nJdf25lQEMdy328rR/5+0jajX3N9RH+K/PmfD/VjXez4nnPbQmmhHtdpvhaa2i3SYz30yAfxMUIfLln07bpnZ/fg2ctIn3tH37zzbyyif1NgvfBglj2g9PltJ59c70nu91FWBPWyb1Fe+j7PEk3C9aT3rdzPxr3n9r13UN++gnUsjVH+dgbLUbesxR6/o7DPltvzTbBuqjPid1hZI3wbJCABCUhAAhKQwDQRmFeC9dp1L9SC8/Krb5yI4a5du6uDDz++TmN9y4PZZSturI+T16ihr2CNeByi8+e/eNBgP74LwXrv3r3VNw89bNbxOC+2iN3l+thXXHn1IN5H//Tjg/2Ik7ennnZm9d5f+uXWc/74Tz7WaG39/t/5wCAOorhBAhKQgAQkIAEJLHQC2SK2S5jKrm5jMJVB7DyoXYoBCDh5PVf2Q5zJgnW2AouB97xlrc5yUDsEa86LgdkcJ+8ff9NscRbr0mxBls+P/Vy3sLDO1myICW0hW84yMJ/DpHnnNJr2STcLA9malfOxUEYs5FO6ls3p5fbAKi4CYghxWXO2LSDaBr9sYY14F9/XIl1bAlU1Yz3tLBzRP0mDMowT5iLvl3e8OcN6NupSbq9MVrW4hA3eTWIudcgWmHBvC1hxR16IGtQp2pptWzjuh/vcOEf8pm12705aed3c+9fuWyKgLZ+m73GL25RXfJcFwlKw5t5x/t37XOtHnHKL8J2F4b7XZ76XIPq0hezmGYtpQhZrs3DYlEa0HfXJXhrypAT63Dhh0jZDHCy55v+Z0JC9MzRNwIlyllbepE3I99o262zOO/6mff01JkbxfR8u9K2oT5dYlydl4Qqe0Pfe0Sdv8mcZgSj7t69bV5ep/HPZA/smsuBWPUKf33bS6HO/Jz7s8gSEqEe5/ebVsyfETHrf6nPP7XvvoM5M0GByR/5krxjDLKzjvkA9+oQs3ONRI0+c6LoG+uTZFLfLirrrWFNa+TsF60zDfQlIQAISkIAEpo3AvBKs733w0VpMvu+hxybieM2Nt9bxv3XMyTOsJXJipI0VNnmNGuZSsM7C8X/5vd+vDvjMgRWuvwmXXX7lQBDmvO8cvaS6a9Xd1cMPP1Kddfa5MyymiYvAHSEL1pHHxz7+yQph+eJLllW/+Vvvn5E25yBaLz3plOrSZcurvzzw8zOOk2cZFKxLIv4vAQlIQAISkMBCJ8DAaAwg5zV2y3rjGjrOYw3XCPc8u8+SmONY+UXIA+mIlNm9dBasI10EToTxO57aPkO44Hi2tiP9LFhHfNZMxbIZK26si+N7tqW1Yh5E5jhiBdaiMMhCWqQRgnVez5Q4bSFbGpNGFtUmzbstr/g+rzGLRdUkgTVQo86IrTHBYJS0sJrOYndY0xMX2Yr/6R+xpnZTmlnApRwIYBEQUPju85c8XYuZTJBgUgF9i0kNR92wrvpJsa7uXOWdBQBEBTg9tO616t7nXp3h/p3ysSbuKIFJGIj/wZvyNwVEv+iT1DUmEYS4wbYpMCkh0iYeYjreDLACxLUxzOI4THPI6zQzEYL+zPXFdcUx+jCCYpNXBdJBlIy02XK9Xnrf5voay8JgnFMK1vk64xzuU9wXuD+cetsLM9JG3IqQ401yfdLno0zUuy1kLwSxVjMTRCIu7dUWuBbiPLZ5UkZY1NJeXCtM0ogywR1ObdfPpG0W12YW7BDu+Z8PE5OYcEF5+GCJ2hY4HnWjPBGwkI74YXUdx2LL91FX0rhtzT7vGH245DTDGj7yzNvr02Sb6FPBhrK3cSeNtvtWn7xJl2Uqgifbc1dtnHHNUSb6SpyDu+0IfX/bI522bdf9njjZowfl4/cJq2cmx2RvGRzLnlD63Lfayhrfd91z+947Io9yy3NNtE+XYP3a7n3LMOABhQ+T/Ghf7vG4e2fJgq77EnnzOxv5xWQ9BeuyVfxfAhKQgAQkIAEJ7D8C80qwvmXl3bWYvOapfTNfR0HD2ta4CQ934LfeeW9rNNLmPPIaNWTBGpH33/2H3x762bx58yD5bGGNUIzwi0vuHFhLOrsBv/KqFflwvf/iixtmnHP+BRcNzikF66OXHDc4xg7lCSGbLXlt3brvhY1zlhx7wuCcCy+6eEZ8/jnv/AurI486pv48uXrfC/asE/1CAhKQgAQkIAEJLBACWDfF4GYWGMvqYW0Y5zGAmkMeGOcYrn7LAXzEgBxKwTqLE3FethCLdONYFqw5Vq5pjECcRUbEuQiIdrkuCHg5sLZudg3MuSFY57gMJrcF3N5GHmzDwjbHp9zj5N2WF98/kdarRMTd3WEdmtNBQGAyABajWVyhbFlIy3FinwF24iImMZie64uracSecQJiQrhEJS3aOAfKlPNo20dAnMu8S/G1tEamjNmCtMvlMRMiEHrhE4Iz9UAgLC3io+6IDlHXfB1F/DbB+lsr9gklTWIbvCMN2OYQrNmWwlOUJbZNrorzGu6IrGFpG3nQtyI+2yxYc/3liQ+I1GXILqKJH9bQ+fqa5Po8+IrnBuVq6//cW7L3hRA3KWNwo0zwbQoIfbnuP0oiI/0iH2vbR8jevmumoB55T9pmlDXyw+X6uIF6RRlIB/f54wQEusifbbYw78Ml+jhptk2woJxZKM2WysPq0HXfmou8meiRubDPvTp7A+A7Jrzk+95c/Lbnuo9zv+f3J18jeEsoA1bsUS/uVRH63Lcijbwd9Z7b996R88z7owrW2SV5cGna0qeanpfIk+euuAaZMMK9lKBgnVvEfQlIQAISkIAEJLB/CcwrwXrF31lIr3t+9HVWWLf66BO/V4vQBx92XHX3/Q93EiVtBGvyGjVkwTqLvl37WZAuBev162dbmyxbftlALP7wR/60tWjZChvX3xGyYP2rv/a+6vU3ZlsuZCtrrK7LcOddqwZlOPir3ygP+78EJCABCUhAAhJYdASwrIxB0SZRKwOJ89hmKzkG7PPgOYP9WcBEvCpDFqybjsf5YVVLntk6KQvW4ZI34sQ2r5FL/BB4Dk8WT1jKNoVScA/BunSf2yRqYZGYhQryJj1Cn7ybyhnfZYvProkHcX5sszhAOeODO+dhoRTeIi5iSilQDksLsSCsiCOdbA1ZtiXnIGoiymD1G4P0Effie/dNru2bd574gHVvU8hiVxZfynOziBNlZQvLppDTLV32Rx9j2xQQsBAtmKyRr9d8br6OQuxCkM1ly/vhJjh/x37uc7lf0C5t699md8FZsM7un7le2kK+lmKSQN/rM6/1yiSE7BkhynHB3Ztm8MllzPe9sLyOeGxhXHp/wFV/hDxpBK7wQ6zlHln2HSbVROjbZpFOtOu4gjX35nwNcm22CfaRV2y37XyztiSPvNmWbosn5UIeOd2uiTyPPr9jcO6o9R9235qrvE+7bZ/ni5xm7MM7ft+C61z8tkdabPN1Hfmybbrf50ku3H/i3pLTYxJXpEPfjjDpfSvil9vyuok8y3tu33tHmW/8P6pg3bSEAvdbfk+YfBPlji2T1HLgHn/ABfu8ZuTfTwXrTMp9CUhAAhKQgAQksH8JzCvBehIL60uvvL4WoI884fTqxY3DB17mwsL619/3G7V77q7tpk2bBi2bBev//ukDBt/nncOP+M5ALL7q6mvyoRn7rHcdQjnCdIQsWH/ur78YX8/Y4kY84jZZSOMGPI7/+QGfnRHXfyQgAQlIQAISkMBiJJAHOEtr35JHDJSyLQWwPNifz0NMKwfSSTcL1l1COdZRkV625MxCW5cwki0mV29425VtFj/C8rmsK/9nETgEa76/4J6ZghX/4zIZ8YKB+mwdGmUPN559824qZ7YMaxMHmuLxXbaOj7LGFjG/bOecDq6vs0gV8dgilHatVRvp7Hx974y+EGnggjcH+mYcI89yogDtyESJOIdtXhs4pxX7o+ad+xpuqZsCrtNxD86H9mgLcMlljH3qhEvaHLC4DlEa0SX6UJwTx9oE6ziv3NKmTKDA0jvyZxuiEgJz/p59RPvsnp1rOouzlJ9JBYTsWjdbH5flyG7zs2CNYBX5I9i3hez6Nq/v2+f6xIo0uFIGhEvuT89t2V09+vxrMyacRBmz63HWe47v2SLKP7zutdq1M3XJHgTiPLwcEOhD8R1b3Lbn8Obet6osqHMOXigIfdss8on8RxVsWau3tH6mr45y7VNfyl/eQ+gz0RcpVx8upQgZ9Wza5rYbVv9R7h1zkTe/bVwb0S6x5Xek5Ea/ze7a5+q3PViNc7/Pv+944GgLT764o75nsrzCsDDsvtUWf5x7bp97R1v+owrW5929cdDOlHlTsbQEAnSuC5ME6WMR8nIe+VmJ4wrWQcmtBCQgAQlIQAIS2P8E5pVgPe4a1jx+HrbklFqwvm/ENanf7TWsWZe6KXzyU58eiMWI0m2BdatDVGa7e/fu+tQsWB9z7PGN0bOl+LZtswc3FKwbsfmlBCQgAQlIQAKLmEB2fY2b3bbAwHkMljNQ3hSarMBYU7op5AHtpnWHIw5iUeSLuBohRMRhYl0uExZM2RKxrR6RR3bFnAVrBs6zGBDly9tSTOC5fi7yjrLlbbaSzlbo+Zxh+7hURrDJVqvUZ/n9W4ZFreu15dU36jWSs1hP2+QB9ZwQPBD3szhIfliUNYldiKG4TsaStq2/kFce0G9yQ0sZxs07t2VYyue6TLKP+Iv4jTCW+02I3ZQxW0iWAj15Brth1wDXNSIgVnpt1oaUgTwJ2fKR74mHaFgGeEcZOC9cd5+3ap/wwoSTtgCDqHsWrLM1If2JPtH0yXXBajnCpNdnxOcainK1bXOfYF3hHHCF3Rav6XuEcAL3Bxhe99jL1f0d9+Jsmc4a6IS+bVYnkqyRhwm2/B6wnm5ZHyzBsZgeFnCrT5vm+PSlvJZxpNGHC2nkPOgbbSH/1rBGe1Mg9jj3rb55x9rdpEOfQ+DPVWAyRL7n4aUi6jiXv+2ZBfkPu9/niWL050nCuPetYXkMu+cSv++9o6kMowrWTIphsg9tXE5OinRZ+iT3KX6zCfSD+J6JROX9WsE6CLqVgAQkIAEJSEAC+5/AvBKs1657oRafL1tx40hk9uzdW69dzfrVe/bMXKOqLYHlV99Y50Feo4Ys9K5ceeeo0QbnZQvr409YOvg+7/z2+393IES/9lr3DFrW0A7R+qWX337ByYL12eecl5Me7Od6NOWhYD1A5Y4EJCABCUhAAhKoCWTxo21dRE7E2icGRLHsaQoIiXEOWwSlGDwvz8+CddvavcTJVm/Z1XII1liadYXsvhexc5R6RHrZmjEL1hynXrj8zfWNffhgDRX/h6A4V3lH+dhm1+Xk08Y7xxm2j8VolB0BZJyAxWUW80LEzGnQ3ghtkQdb4lz2wJYZYkyOM+p+diddutAmjXHzRjiIclLGdrlr1BLOPA/RF6v4yCOsdbEwj+84jgVi+cmc41gW+3F5m62gI73Y5vh8F3VjG+ew7bJyPiOJliHcHnn9Pgvp7Cp8Zs3f/i/yyYJ1FqLj+LAt7rtzmOT6zPG5fksX9VEGBOl8b7jy4betnHN8JleUfInPd0ycyZMR2iZg5PTy/tp0n417S982i/Sjjl2CNVaxeQkI4nAfxrvAsEB/zyJs5Ee/bxPphqUZx5u4cCyXNXsJiHixzdccVv5lGPfeQfw+ebP+cO5DpdeJKF9p+RyTW+bytz3yKrdt9/t87WSr7zJ+0/+T3rea0mr6ru2eG+f2vXdEOrEdVbCO84dt+V2L6yZc5+d+Rj+J34PY5t/0429aPzje95obVtZ1L2yojjn5nPrz2OqZ9+iuY8PSJa1Il3QMEpCABCQgAQlIYJoIzCvB+q233qoOPfqk6ojjTt1vDA8/9tQ6D/IaNWShd38J1tldd3Yn3lTGn/2F9w4E6zg+Q7A+9/z4esY210PBegYa/5GABCQgAQlIQAKNBLrcSOYICGExSIpb2zLw6Flai3L+2Xc1DyZmwbrLFTlWqJFvXm86BGuOZYuzslxZHMFiK7vORRjrCnmQtxSsIx6iAgPyNz6+tcK17+ZX36gP4Y46yh1WkHOdNxkx+Bz5IKR1BVgiloUL4rZzqWukyZaAiEBcPuXan2U62YXtRffuW0aI8+CCyJbTp43mauAcsSbSLvvpJHmP4lmgrD//4zI4eHX1b87Foi7KHJbCuIOO78bZYrVKYK3e7H6eNODBJAv6Kn0WF9PZU0B+e8wCSFvfJ58mt9z5usEatS3k6yEL1rnc3CfoQ8M+bZNtxrk+m8rJ9XzPs69UrDONUIvYRcCSONolrBzL+NyXYEfZ4ISgGq/oIUSyHXeSCedH3mxpR0KfNouyR7ptgnVub86l/Ihmo9SBaylPziA+yy509a8o1yjbNi7ZDXssC9GU3qX37bvm8m8N505y7yBen7yxuI32gHNXyKIoE38IfX7b+97vczs/u6V9iYSyTn3uW33vubPKMsZvexk3/5/bZlIPKDm9vJRD9NO4n0R/GXXbNRkp5znpfpco3XVsWH4K1sMIeVwCEpCABCQggXeTwLwSrAF18eXX1hbQT6yZOcOwCeKrr+0YWFizPyw8vvqpOm3yGCdkoXd/CdYH/tUXBiL0Aw881Fq8LVu2DM77zd96/+A8BesBCnckIAEJSEACEpDAnBFAUIrBzTY3qGR2SRrMP/W22cIoayZGOuW2ycIqC9ZdolbON5+XBWusvNpCXl81zsuDuyFANcWHR9QliyoMjPNBDGsLWYTMa9H2zTvnh0CT00MQ6wpZKEYYaAsci3qzRWTDijS+w816V6B/xLl5LU3cFmeX4QiTiICjBNz1IrSz7QqIxJE3QkGEPnlni19Et6bA92fduaH+4NY1extAvOkK2RUxlreEvoI1QkRwoPxtkwyyyJkF62yZzVrTbSH3C+pPQDCLvBFX2kKeBJMF63zNPvr8aP0j59Hn+uR+EPFDXM5ps48+HH2C6y9PmKEfEL+tnxA/u/WlrhHgTB/nQxptAff4wZfrKUKfNos0It0mwZq2iONscTnd5R0j0mQLy+yiGm7Xj+gqui8X1l+Pcne5qM/9Lt9n+tw7+uSdeeP2uytkbx+shUzo89uer+tJ7vd5mYrMsqzD5Q9uqe+ZsXxDn/tW33suZYtrf5Lf9rJu8f8ogjX5xrXfdb8lTZZGif4c11B+Dohjo2wVrKOV3EpAAhKQgAQkIIG5IzDvBOuNm1+qvnzokurYk8+q9ra9Bf8dnzvufqAWoA865JiK/a5AWktOOqtOmzzGCe+EYI2r8HDz/Y1DvtVavLPOPndw3p8f8NnBeQrWAxTuSEACEpCABCQggTkjkNeRZdCzTYDIFlOsP5pDtiZmkJSBVyznYsCUwfZSGM6CdZP71Ug/r3OaLRmzYN3mdpi1VKMMbMMKMFuVtrlZLeOGYI3FZaRZWvBGmRH+8rqisS4xx/vkHenHNgsaw0RR4uS1gXEV2hayG/ZIN1suk05XyO6+8xrmec1b2q9L1CvTD4EQ9gh+bSELJVks75M37qajzdv6Wp5YgcU4Vq8Rh21XXbPb+pgMQv9DuOj6xAQErts4L/pptsLDbXdTyC7qKWMWrLMocsE9M63kc1rZmv7WNdvqQ7R51B1BPKeb4+aJDVmwzveGEMFzvNjHxT8M+IRVad/rM7tRxiNDU2Cd5ajfV698bsYpeQJAW5tntnmN+Lx+PBNe2gL1jvy5z0bI6Y7bZpFGpNskWOd7F3mNE3KfoL8Om1yT0+7LJXvp4H7WNASTXf/DIP9e9bl39Mk7eyCgTF2TjPJ9j99fQp/f9r73ezyrRF/immoKTGSLc8IzRJ/7Vt97bt97R1Md+W4UwTov7cFvXds9k2eYPOkrxG2WMIjfgKZt5srvU5yzs2UCVltdxv2+y4r6hQ2bB269r7rh1urRJ58a+cP54RKcdAwSkIAEJCABCUhgmgjMO8EaeMuuur4Woq+/eWUnyw2bNlffPOrE6pCjTqzY7wrX3XR7nSZpjxveCcH68SeeHAjRuPz+ybrZLy6sV/3r7/uNwXn33nf/oCrvhGB9/wMPVjfdfEv92by5m/egYO5IQAISkIAEJCCBeU4gW5YdfMVMAYaqIUTFwDLiULYoZAA1i8oh4Gx59Y0Z1r8MkuaQRSnSxu1uGXK+IZzGOVmwpkwMNpchu8smvwgXJ3fLrLX52u49cWiwXXrLvnWcKV8IgQwkBwu2L+94cxAndrLb3FL46ZN3pB9bxLwoS5ewF+fTBnE+lrxZlIlzGPSHdZx3/E3P14ey+MGxNjGPNasjLtvMJwtebRMjohzlNg/6I4A0DehnAZ+8o81Iq0/e2VKRvl4KkXCkD0a9Yy3ffF2E69ayXggV2TquzbV1GY//Qxwl7zJkEbzJcwJlzmuhUvbMFHZRH8rXdH1lC2nOwfKXAJ/MA3faZUAsz/XOgvWjz782I2/E+zIgMOY8wu1w3+sze4rAtXkZ4JbX572/ELXzRJ0m979ZmKL+iJIRsJYM5vSdJitrGOfJG5ltnzaLMkT+5X2LNo1jlC3/BkTcrm0WfZvWte+K25cL97Tc15qsrLnPRf3K38A+946+eWdxMiazlKzKCWOsaR1h0t/2vvf73Bfh2jTJiGeFYE7/IPS9b/W55/a9dwTzcpt/u5ruCXF+bmuWbWgKWKIHM+7/MQmv6dz8HelFvFj3Oh/fX/tdgjVLGJ5+3rKB8BwC9Dhb4o+zFOL+qqfpSkACEpCABCQggUxgXgrWO3ftqo5aemYtMD/wyD43Xrlisf/mnj0Vn65AGlhhkyZpjxveCcGaMv31F/52IEa/95d+ubrxhzdX27Ztr3bu3Fndteru6v2/84HB8Q99+KMzqvFOCNY5/2XLL5+Rv/9IQAISkIAEJCCBhUoA8TEGM9nixhSLOCygzlu1b4CUY+VgZ7bcQRTIQiRiSk734WTVWwrWxCUvrHuxFmLN2hwXS7UcsmDNeYhIlA3hCuHyyOvXzYifhVNEpzw4zCA3FmUI1wy0Z0vFKAPfR8gD7VhSY0HNYDeiTl4HlbgPF9boffOOMrBFVIryZbb5nLxP28T5bBFiEI8QE3AZjeVoXj+YNkFYjMAa2Tk+rmdpL8TMJ17cUWXRh/OyK9nSzfihK9ZWo3wQ+AjZQpO0aQPEQsRM1notXWhnsbFv3ohz2WIebuSNeIilWnbFjIhAGxOye1vKjHDBtYagRJ+hzFlIY6LAqAIE6XcJ1iUvRDqugY3b36jXsM4iXLQpVq85fzwfxDHEYYRD2oMPIn4ue7Zmp2zZCpg0EFq4hhBhcRGcxWaOZ8Ga+NlilGuV+nB9IlTDNV+/2a02cftcn9x7os5ssVQO4RhhMN93sLwvAxbTER8+lBXREq5lvc+5623XzZEG7ZOZ0uewluUapN1+tGbbDLGa+1ZpLdynzShHlL0UrPNvBOxHuXa5B0fIaznT1qPED1fSc8Elu8ymjgikLEfA/Tm77eZY9ojR995B/SfNm7h5ghNlgx33XO57LHGBS+18LZXeSnK7EX+c3/Y+93vKnn9HKSP9l98K7gN5nXvKxT2c0Pe+1fee2+feUVeg4c+ognWe1AETPGPQR7fv2lNvj073Y46PM/FjGgVrUK15eu3EojViNfENEpCABCQgAQlIYNoIzEvBGoibtrxUfePIpbUL79tX3Tcx15Wr7q/TIC3SnCS8U4L1xo2bZlhQh4vwcouV9TPP7FvPizopWE/SssaRgAQkIAEJSEACoxEoxWUGRMsPrp6zQIJImc9BpCrDF5NrcISOEH+yYJ0tBnN6sY+l9NsS4L7Us3CURZ6Ik7dN1krlQH4+P/azyJIFawbdh+VJGqUgFaXvk3ekgSvPKCfbLnexEYctwmWO17XPWsw5IBZmobArLu0Twi1pZBezXfHKY4gzEeBZHm/6n3bLlqtzkTd9PQtDTfnyXRa7KDfWmm3n5u/pT01WiFH3pm2XYM11mic05Lxin+suWwTzPeJKBCY4ZGviiFdusdZHlM2Bf/O1X8bh/3wNl4I1eUf9muLGd/TH3NaUoe/1me9NkU+5JV/yKQP1zh4KynjxP2xKZqQ1al+l7ZhQVIY+bUZaUb5SsC5F1zhv2JY0uQ8MO6/peKxrTBp9udA7v33dvgkYTfnxXaz/HFxHzbdML9+3Js07ypBF1DKf/D99sslbyCS/7eTd535PfET1fI3nsub9/NwwF/etPvfcvveOaLO8HVWwZlJLXk4jMyr3x3XJP62CNZywkMat97rnN8z43HbX/QPr6/sefmLGMc7Xsjr3MvclIAEJSEACEpgmAvNWsAYiD2WHLTmlto6+cNnV1bbtzetkNQHf/sqr1UXLV9RxSYO0Jg1/8KGPDCyb77xr1djJrFx55yD+0pNO6Yy/Y8eO6i8P/Pzg/FKs/sSf/Y/qlVdmu4S8esU1gzjnnX9hYx65Hlhtl+HRxx4fpPEXn/1cebj6wH/94G8hHdsAACAASURBVOD45VdcNeu4X0hAAhKQgAQkIIGFTAAL5TYhlgHSUmDJVqdYG86UrN4mVQ4Ah2twrG9jEBbr3jaRB4vlphDnYymKdXGT6I3A2GV5jDV2myiGWJtd0WLNlgNxs6AddWELwya3s2X8SfMmnSykYGk5TsBldZf4yhrVpfAa6SOU5wH4XO+oO9a2ZV/JrpbLOF3/Y8GcA23SJZrjGr3QTqu5ypu+3NbmCA1Y55aBa6K0/i7ri4vzJrfXZVrl/9F/aMumgFv+NgEEq2QsxLn2cl9gveAcEBtLa8hcfkTFPIklx6UdSqvBiIsgirgWbYnlZxnwWJDXlI64sUWApI5Noc/1iXBUeniIPNnCtLwf5DLgTrlLHOVeuvvNvTnKjH08ROT15nPe7CNgliJ9TqBPm0VepfV4ObEhzhu2pVyrN+xbq3jY+fl4abXflwv9sfS8Eflxzy69h1D2ubp3TJJ3tCn30tKSOsod2+N+uH4wGSzi5e24v+0Rd9L7fcSnL7Zdw3jzaLIS7nvf6nvP7XPviHrnba5/6Skmn8c+9zx+w9qew/i+iVmZTvk/zzPRV656ePbEwvL8ufq/yyX4sDweW/30QLAmHYMEJCABCUhAAhKYLwTmtWANZITnpWecVwvPBx9+fHXFtTdVzzy3rtq7d/ZL7N633qqeXbu+uvK6m6uvHn58HYe4pDHfwosvbqjXikbgPuPM71d33nlX9fLWmVYc861OllcCEpCABCQgAQnMdwIM9iJW4toWi9YbHt/aaEm4P+r52PM7qqsfeal2N4xQWYqeXXkyMI4LWeJTZiyimwT0Mg3EKQQV6ouwSBlIa5TAWVjeIqLizpz1N1mjssnKrSm9Pnk3pTfOdwhmrEHMetuUm7rjTjVbknelh3iLpTjCPFaJMMCqcNS6d6U97BjcyIs8KTuuzOmzo7bbsPSHHUdcxnUt+SP+h9vyrngIjAhuWBMiSFz58Eu1W/E2wbUrrXGP4VaWfGljylByomy4RqYusQ51mQduaaO9ETzgj5g1SsClMyIL95Mfrd42w838KPGxGqZv0s8QEBFftjasa12m1ff6pNzcUy65b3N19l0b6ntLk1VzmW/8z7V065ptdbkpO1aOuPYeNeCCHDfKuCXHBTvMsXodNfRps1HzeDfO68uF/k9/p02YmMC68QiF70TokzdlZKISv3FM+OJa4LrIa1Z31YHrYdLf9r73e8rObyv3TNzc04blxKKy7H3vW33uuX3vHWVdxv2f65y25nci2pnJRcOYjZvP/j4/C9Z33PNgPW7J2OUoH86P9awVrPd3S5m+BCQgAQlIQAJzSWDeC9bAwJ3NfQ8+Wh1x3Gm1CM161F8/8rvVsSefXZ1x7iX1h32+4xgfziWOrnDmsjuZlgQkIAEJSEACEpCABCQgAQlIQAISkIAEJDApgTfeeLP67pkXDoTnEKDH2RKfdAwSkIAEJCABCUhgvhBYEIJ1wN6zZ0+1+qlnq8uv+WEtVh9y1InVlw45pv6wj2jNMc7hXIMEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggWkisPLufZbS4wjVcS7xDRKQgAQkIAEJSGA+EVhQgnUT+D1791Z8DBKQgAQkIAEJSEACEpCABCQgAQlIQAISkIAE5gOBrdteqe5+4NHqznsfGvnD+cQzSEACEpCABCQggflGYMEL1vOtQSyvBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQwZQQUrKesQSyOBCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpCABCQggcVCQMF6sbS09ZSABCQgAQlIQAISkIAEJCABCUhAAhKQgAQkIAEJSEACEpDA/8/ee/5acp3pfv4fDPiLPxjwlwsYMGwYtoF7YQ8kzczVhDsD5WxeXlHSaMSRRlmiJIoSSTGJmWxmUsw5iDmTIpvN2InNJjvnnHPuPmX8iv3Uefc6VbWrdp1zep/uZwH71D5VtdJvrapdtZ71vssETGDICEw5wXrbjn2ZP2bgPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D4w9fuABWsL4J4A4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+4D7gPuA+cEL6wJQTrIfMQt3FMQETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJCABesBwTmaCZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZhANwIWrLvxc2wTMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIEBCViwHhCco5mACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACZiACXQjYMG6Gz/HNgETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETGJDASS9YHz12LOPjYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImcGoRGDl6JNv57oxs81OPZPtXLhvayu/YuTt7d8787M333q/9vD1rXrZx89ahrccgBTupBOujR49mi5euzB5/9uXsqhvvzM679LrsV+ddnn/4fuUNd+bHFi1dkXGugwmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYwElKYGQkW3bxb7NZn/lE/pn9+b/Odr7zxtBVdsa7c7PLb7ir1eeBx5/PDhw8NHR1GaRAJ4VgPTIyks16/8Psoqtuzs467/L887tLrs0F6lvvfjjjg1jNPh3n3Flz52fEdTABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzi5CGx98elCrJZo/f43/ik7smf30FT08OEj2bW33d9KrJa4fffDT58UovWUF6x37d6TTbv13lyI/u2FV2dPPv9qtmLV2uxYiRB97NixbPmqtdkTz72SnX3h1Xmcabfek5GGgwmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYgAmYwMlB4Oi+fdm80z87RrBGuF5901VDU8k16zcWYvWb783NdUu0y/h5dcZ7xTmr1m7I7n302eL/k0G0ntKC9Zp1G7MLrrgxF54feOyZVsLzzl17svsffTqPSxqk1Ta8MePN7N77Hhj488STT7fN0uebgAmYgAmYgAmYgAkMOYFDhw5lr70+PZt23Q3Zd757ZvZ//F//Mftf//f/M/vnz3wh++nPz8pu+9Md2f79+4e8Fi6eCXQnsGn34ezedzflnxVbD3RP0CmYQAsCG3YdKvrf8i0nX/87NpJl9723Oa/jO8uHxzKkRRMN1alTub/MW7u36Ot7Dnr5u6HqWC6MCVQQ2L17d3ba6WdkX/n6admOHTuLs+Z/+FGjceZXXv1LtnLlKi95WZDLssefeCpnB5sTFWi/Cy68JDvj29/N/uoTf5O/A37mc1/KfvSTn2d333NfduDAyfc8MlGsH33sz42uBfSV5ctX2IvuRDXEBKS7efPm/N73re98L2PsZDLC2tuvLxWrEaxxDX5g1YrJKEbfPKJg/eGi8jW235r5fiFQ79q9Nzt46HCPaP3My8Pn5rxvxcMJU1aw3rx1W/b7S6Zlvz7/imzGO7NDldp9feOdWXkapEWabQIPFv/9//A/Dvz5D//L/9YmO59rAiZgAiZgAiZgAiYw5ARWr1mT/c1//oe+z4cI2E89/exQ1mbfvn3Z3r17J+3lcbwgHD16NC83ZT9y5MjAyTLYf+fbG7OfPrwsO/32RdmZ9y3Jbp6+IXtr2a7swOFjA6fbJuI9727KvnXX4uzcp1c1ijYMZS4r6Hsrdmefvf7D/PP0B83etY4eG8n+7b6leZyv37qgLNli39LN+3PB7rdPrsw497Q/Lcx+/NCy7MqX1mYrx1kgp09c++q61p8jqIo1oW1br9x6MLv0xTXZDx5Ymn3ppo+yr96yIPvRg8uyaX9Zl23bO7bfL9q4v3WZqSf9vV84+4mVeT99cObmfqeWHm/T1qUJ9NmJiKv+98TcrX3Orj8MWxj/yz2Lc+6k+807FuV9DcZ1gXLcNmNDfk+hzbiv/PLR5dmf3tyY7dg/ts3q0orHDh45VtTvvJJ7xasLdzZq+1vf2BCTHYrvd7+zqVHZn/9we1Hern29S3/pmndRiSzLdh04mt3yxobsZ48sz+9rX7jxo+xf712SXfjc6qyqr934+vqiL3CPGCRMVH+54bXRsq3d0Vu28eQ23r+Dm3YdLq71i55bPQjSxnHmrdmbP3ec9diKPE/uEz98cGl2+Utrs8Wbqu8v49VmbyzZlf380dH+Rp/jHvXQzC1Zv9+w99fszbj/fPuuxfm9jeeWx+duzVZt623rMhhrth/MHp61JY/P77f6+gXPrs5eWzwq4JbFLds3mW1Wln/bfWefc27+vvDFL3+tJ+qll1/Z9z0ijkX/3//x/80nyvYkcor+wzg7bP7xnz836QSYdPCzX/yqb9v9T//zf8huuOmWSS/fVMwQVrGv9/vO+UwMGMZJAZSJd9STddI6/f/Bhx7Jzvr12flYCG3BhA0m799y658y3Fyngcn8tOnlV16dHhr3/w+uX5PN/sLfVgrWiNZLzvnpuOfbL0GWKl6/cUtuSIsxLZ/Z8xYUYnRTwZp8EK3veeSZPO5VN92T7Z/Ck2OmpGC9f/+B7NJpt+XW0XM+qB/EOHjwULZ3X/UDHg1KGqxtTZptGtOCdb/LzsdNwARMwARMwARM4NQh8OJLr2RlL9aI04jYZccuu2J43E/RUhs3bioGBrAMmEoBqwoNZPzp9jsHKvpH6/flA6YSudItosH+CRatWdkIEZK8Ea37hWEoc1UZBxGsEWrEnUH7qjB9ya7iPJ2fbi97cU1V9Nb71SZpHv3+33+oepJD27a+462NtXVmsP+Z+b0TA56dv702TlX5r39tfS0jhAbFReAeJDRt60HSJk4XATLm+ebS/n0t5a74UawTr3RbFVdpVG37CdYITmleZf/Tb4YtlJWzbN9vHh+1huna17v0l655i/+MpbsKkbSsvuxjQk46DWY8BOuJ6C+RKWVPxfTx4jbev4PMM9LEKcr9u6eaTR5TO7bZIthWtbX2c+8vWfUwF5V1Tt226hrnHsLkvLq4TNrbWTKxhvL84ZnVtXFfXrCjEsUHa/fWPm9RJiaj7T7QzGPAZLZZZaVaHPjwowXFM+tbb7/TE7OtYK1n3zvvvrcnnVPxnxMlWDNplokHagttmUzwn/6fT47Zz/Hrb7z5VGyiVnUue3cW27rtp//+n7KtW7tNVGxV0AYn0xcoM3U62QLW0lX9XO30yb/5u2zx4iU9VZ8x463i2sBCfiLD0j/8qlas1nrWO9+ZMZHF6El78bJV2S33PFqI01qHOm7nL1zaE0f/vPneqIX1zLkfZpzH54W/vFWkN4g3aaV/ordTUrB+5Mnnc4H5+VfKzdv37N2XPfb0i9mVN9yR/er8K/Jzf//HadlDTzyf7dhZPlP8hVdn5Oc9+tQLjdsENx+4GSn76IJki8uPsnPeeuvtxnn5RBMwARMwARMwARMwgeElEF+49DKKG7PtO3oH695/f96YAY3Xp5c/056I2m7YsLF4cfzmt/7lRBRh4Dz//PiTRdlxu942rNtxaMzgKRZDiMZxMBerJwZ5Jypgdan8+gnWw1LmKhZtBeu5q/cUdYdBlWCNNZgYactkAixe9b+2D8/cUlW8VvsHFqxrJji0aetXF+7oqRsW5b/684rcuhoxQvVlO3/d3qJugwpCCK1VAYs7LNmV5yCCddO2ripDk/1RLBvUwhohTPVkS59EvMLaNe0TG3b2ujRE9I9xaSes4Ukj7uf7gg37mlSp55x+gjUWi2k+Zf9XiVk9mU3iP1izl5WzbN94CNbq6136y3hcZ9zPYx1pF6yssXxN+8x97/Z6NRgPwXq8+8uOfUfGlHu8BGu1Gd1yIn4H08lBEyVY045pm3OPoN3T+3rZPaxLmzHpgesn5s/vKFbdqYj9xxfGTv7ivh/jUl6ej9JyM+EnDen9n3TwXsFvGr9tMd2m7CerzdK6DPI/FnVYAPO+gIVhGqJg/W8/+FH2zrvv9XwYS77/gYey3537h0wCrcagV66auMkVaTmH8X/xmGwL65tuvq14B0GQpH2itye+8w6IaKe2YptOVhhGpieyTFGwfu75F3quA10XvEdjwYtr6cgWy95hCierYM3Ygeom/vzPxPe0v7NMWmr9Livr1NPEeLbdrjnvNRKrEa3n/+vXs5EOntqalpvfgX5iNcJ1lWAdXYJHgTt+t2C9Z3+2cfPu/NO0YQY9b9OWrbkL7yuuvyM7VjLFcP3GzdnFV9+ci89YTaefcy66JuOcNNBRELhxMb5pS++s9PTcJv/Hm+qq1RPrPqhJeXyOCZiACZiACZiACZjAxBA4duxYjxtwrKnXrF1bmRmz8L9x2jeLl2ossIclnMqC9fnPrCoGSRkw3bLncNEsrMUcxal+1qdFxAZftu87kjF4++jsLbmb5zhQ20+wPlFlblCt/JQ2gvWu/Ud7GMOhTLCOVsmcgyvS6LIUy9/IhcHz8QisgYx42e+D2KA2TF0tD9rW1DmKADdNX59FT+MIfNEakO8KWKf1KzPHX1+8syg33OnzMSAK4Sb89jc35q7XVUe2bQXrpm0d8x/kexcBUvkhoqiuiDhxsgrW81G4j6JOKj5yfSvQnvPX7ctd6CrtKLzqvH7bOsGa/qG08TTA+sxVn63hXtcvz8k4juWlyv7c/O2V5aY+uM9W6NrXu/SXrnlTB6xJVW/6VVyL+vDRkdyyWsfZHgyTYboK1uPdXxBDEdpjefmeCtbjwS3e78fjt5sJP2m5m4qm6otNtlx3MR+eK+J9HTaxT/AbEPt71zbjfh7zp//HgLV/PI67bYXV20Y9bHAOwrvKzlIPd729qSduuvQByyIobZa3iJ5IiM9SGTrOlmekujBZbVZXhjbH8MgkYeell18dEzUK1n+87Ioxx+MO1rDmPULpXTvt+nj4lPt+ogRrLHrVBnXrZx86fDj7h//ymeLc8/5w4SnXRm0qHLWVJhbTV151bcGWvjBMQaIudTqZwq9/c04P82XLlvdU7y+vvd7jZe6KK6/pOf7CCy8V8fk+3mHk6NHsw+//18aCNaL1xsfuG+9ijEkPN+ASl5968fXCQhqBevrbs4tjVYL16rUbsituvLs4T2nFrQXrSRSsH3z8uVyE/mjR6Eu4Wn3f/gMZgjQi9UVX3ZzNnvdRtm37jmz7jl3ZBx8tzi6++pb82CXX3DrGhRJpLFi8LD/+0OPPKcmBt/Gm2kSwZrbVgoWLMmYMvTHjzWzLltEX2oEL4YgmYAImYAImYAImYAITTiBa9jJYsWLFyr557tq1u3g5I85HtEvVUAAAIABJREFUCxZWxmFN6Vmz52TPPPtcNnvO3Hz9q8qTKw4gki9ctCifmb5nT/XA3yCCtcr33sxZpbmzptW8eR9kDMrNnDU7F/MpT9Owdu263FsRz8l4OKpa+yu2Q1sLa4SPODiaDqpTVgQmnYOgp8HZpvWoOi+1ZFIebOsE64koM8InA7+k3TawvjfrRsd1vtsI1qmlF/UvE6znBTELPiVzmDMGvKOVVhxoT+tFOyJGI9gygE8diD9IiK6jsRRLUxm0raP7bbjEwX2VE4E59p02dUDwx+2r4pdZ++pY2batYN20rVW3uIUp6+DST6N4E8/R9yoBkv6Nlf7Cjft7BGjF0/a9laNrYGO9H8VqncM66mLCOQqsea79VXyoh86hv9YF2pN+wDWqUCdYx/tD0/XjlW66hTOs6N+6PzS9RCg34v2sVXtyF+1ca1GITfPif0RqcUnXPC47v82+ur7etb/0K0dd3sTlfqd6wysNsIxCH22hUCZY00bLNh/IWD6B9YTr2mw8+wtlqnJzXfbbqjpUbeu4xXLDriz9Nr/d9M3426H2aCpYt7k/PThz1Lqae2L6ewEPfk/jZDlEZIVY90Gu8XjPfyGsBa/02cZ7Nb+RChc/v6boq6w3nQbqgpW4+EXrcNYt137qtvdg+fNgFOur7qHkO5ltltZzkP8xlmJiK8/+CM1lz8NtBGvKcMmllxfvFFhkVwWe8XlWR1DluRw3voMEnsvffPPtbNOm5vGxquQd5ulnns3j1k3sjWVq+w4xXoI17cRkAN5bKENd4D1IYnUTkfTe+x4ozp9Iq9KyMrflWZbGunXr8zZ8+513s7p3yrK4bfdFbaWJYM07otqCbSqexvwnW4dpK1ijC9H/uN4GCfDCG8OSJWP1s0HSK4sDw9hGLHVQFu68656iXbC6joE0NOlmIjwjbH7qkVZiNYL13K/9Q3Z4x/ZYzHH/vmb9xkJsTteprjsWC7Jr996eta8RqKPYbcF6kgRrfjDOu/S67MIrb4rt0/P91TfeyW6/77EMt+BpQLiWxfWWbeUd76KrbsrOv+z6jLy6hHjB1gnWu3fvzs78/g+LCzfeWLmZ1bkHwdU4rhP43HDTLV2K67gmYAImYAImYAImYAIDEvirT/xN8Sz305+f1TiVX5z1m/wlj+dGXMelgZfsOAs/Pid+5eunlVpxb922rSgLVhm4JMclV4zLd9aZ4iVYgfPSc+L/WAQQmBWt/QxU8Tyq/9NBmjlz3s9OO/2M4rjOY8uL6dXXTMuUrsoRtwjQGniKceF1+ZVXF8J1nJkdz+N704Ggp+ZtKwZQWcezKiCQaqBVFj/RApMB4DJRgHUciYeFFKIEAo7CoCJmlzIrb7ZY7jEYHMUSyspAMgPR/awvGYjGdbq4sIXDQzO39KwhXDegThqKj2WWysI2DdH17rS/VA/ixPVYEbnTgPhTtb4wgsXzFQP4aTr6H1FcVtCwKxNTB23raAlX1z+VPyz7iYIqN1vaX/zve698AFrHy7Z1YkLMh+9t2jrGxeMBkwBiHSkL1yRrYSNqpSEVIF/6aEfRt2I9zn5iZekarZe8MCrKRMElzefudzZlCIa4pFXg2lEeUWTScW11DtuxNciyeWv25m5243mIljDH5bL242kgBgRPHSvr//Hcqu9Y3sfrSOmxpY8jynP/KAvsj9dyjMt32pL0ywKeCXQ+1+l4hrq+3rW/9CtnXd5MQlGd6eNVw1FRxIv9KgrWTArAWje9VkgftmVMx6O/qP5xEgf3vHOfHvVeUiYoK17Vto7beP0OKm+EabVDTLufYD3I/SneI+rWscdzg8rENafQpc02hwlOXMtlfYJ8Fm7Yl9/b6F/xetVvNOViMktZiEt3YEWtEH/DWQO7Kui5iTzwXFIVJrPNqsrQZj9ujPWsijVoWWgrWD/y6GNFmmWCD8/TqWtelQHL4MefeKqsGEWcz3zuS7l76wsuvGTMcznP84hRVWHb9u2V7wKky4TcsjDoO4TeG8o4IIzhJlp1xz1xKkYj6rMkUhzT53z4MTHg8OHRSWMqd5zsS7x+egJ5wp2JC7wnEdincpEGZU2DRD3Oe/ChR9LDGa6xlUbatwbhefDgwfx9DaZn//b3+YTssnW6YV03WZv3XWkXLKHVJsR2aCJYkzbtKg5MkkjDoDqM0qUdqsL5f7ioyFvrNWuCisoUt6nmc+jQoVJX/+T5wx//rHKSiNqFMQna7Tdn/64oR90kFupBX1KZ6Jd1IY5LMPll9Zo1Rdw6Lhs3birOI6+0f8dJNx/M/7CuCK2OHdm9K5v7jX/qEaxnf/Fvs33LFmeHNm0oPuvvva3nHETrlddc3CqvtifXidJ1x/rlg/gtK2vSmaphSq1hvWrN+lxwfuzpwVwEHDhwMDv7wqvzNNZWNNqfn3kpP05eXUK8qVYJ1sw80Q1PN4eyLQ8FZQHXITq/zeBoWVreZwImYAImYAImYAIm0J4AL1x6HmO7fPmK9omUxGDwKKZb9R2r6xgQkXXu175xeu2zJs+rc+e+n0dnFrfilW15+SVcfMllxXnxZZg4UbDmBTY+D5elyT7E9NS6hP8Z3KiKo/1M+iQ89fSzlefyYt0kIPZoQLhOmIoD5xKnGMRVXLYPzOwV/BCVonBw24wNPUXCVSZr3+rz/ppRd6R1FtZdyqwCYL0YRfhYD31nMBsBIg3ISOkavYqjbbRUqxKssWjW+biyRp/SYHiZYI31JYIdH4TcqhDzxhItBlxzR+sy5Z9un5zXfKmo6P62bM1O8h+0rbGSVNlYs7RMXFgRONLfmobYf5l8USWUYcGtPso2rr3KddEktG1rpYmQGK8hsYhb1k5NJwlEAZJ+HM9Pv9PXYBhDXB92f3C/HM+p+n7lS2uLfpq6w1WcaCFJf03Da4tG3bSn5eX/eO2mgnWcGEB/bxto437MKQMWmGWa8lUvr63lrfrg/jsNEqC4xscz9OvrXftLXVn75U3cyDt1yc9xXIDHfowwrRAF63jvE+e4ZZ3i6AmDNLr2F5WDdGk38qM+THiKv1VtBet+3GLabX+7VWZto5B68/QNuUcDcasTrAe9P8XlI8p+Y1Wuq18ZvZb+9Obo4HOXNnt14ceT6KhfTFN51m2jxw/um1VTSlj6QfzY6j4RvU88Mqvas2RcpiIK3rFsk91mMe9Bv1908aXFM2uZmEa6bQXrm28ZXT/5X8/8QU/Rnn3u+SI/PT+XbVkDOA2yCGXcmneKsnjad+fd96bR83cMCcg6r2ybepnq8g6h/FLBGqE5TuDlvNT6NnVdXFbWz3/xq2NEbgTq+M5D+w0S4gToVLTj/TKWp0yEjGIpnlsVBuUZrZWZ6Cy2sRzxO/zKQhRsH33s8bJTKvdFrk0E6/S9PJ0Y3UWHUf0pU1VA2BcTWRvDTvvSLZMMFLDor5pYoniIwun1QnwJyRxPJ4uX9RXlyRZPC0qfLeUoC7EPwgLWiNaKy/VVFeKEDM5P24X+qnSYlD5eYfWNV44Roud+7R/HJL9jxl/GnDfrs5/Khe0xJ4/TjjpRuu5Yv+wtWO/dn+3Zuz/bzWeSLKxnzp2fi8mz3h9stsWzL72ex//D5TdUPlSRNlbY5NUlxJtqmWDNhR1vWsxiYdYbrhpZz+SsX59dXKxctK+9Pn1McSxYj0HiHSZgAiZgAiZgAiYwqQSYUa4XLLap+DpIYXh2jGky+MTzIc+Jjz725wzrah3nmTMuJRMF63jOTTfflqfBVi/cHP/yV7+RF5GBHJ5Fb73t9iJtXprZ98STT2es002IgnVMnzKdfc65+Tkw0Isz52CpwAxyXnQZODv3/AuKPDieWlc89PCjPcdZG4v681KM1bjyZYtrQSwbKGcUuRGz2dd0Jr8G2BlURRysCrjN1AAsgowCFp7azza6sY0WcQiCZWKj0mGLpa7SqhOsu5aZcuDCWHkhzmFRNnvVnuyx2Vt71kTmnFT0ZaBZcdlST6zEEJSxnozH+F4mWGOFKdENcUN51AnWkVXVdyYFKH84pSJstGwjL85nosDMlXuyc8I6sqRRJhyl+cbBf9aebRqatjXWw1GEQqSJAgfufmNbInA0CWkfKBMPq9KJ10ITwXrQto6iLu2BxSaWd7jrvuedTT1cYBDFkyhAqj8gfFB22pp1UqNIGK34du4ftV7GgwABi1YmaTCxgn2snct1UOYqvIqb9iPsRZe5l764RofybbRSpezcO8iLvhYnzqheqWCtySTU78WPdmQIbrpnwInz4VMWEJYQNZU21/Pc1Xsy1q19bfHODM8GOsYWl8sxRI8A5M/ED8TVD9ftyx6euaUnbdozDfLYwLF7392UW3kj1JIW5YIVZWkTmvT1Lv2lrixN8iZ+XIsZBljQEpeQrmfMfTPe16Jgrba56LnVuet7JtBE0ZPj0VKX9Lv0l7yAx//QNsp/+nEX0lFUbiNYN+GmPk2eg/x2q+xRhIU999y4r0qw7nJ/on25NvmonVUebdkf6yimHO/SZrE/cF/D4hoX5dST+wPXHveZsuUh4kQaJqzUhfi7pYk7TAxSvbFMrwrRw8XVr4ydFBXbZ7LarKqsbfZHQQpryrLQRrBmiSEJyzwXX3PtdUWSPB/HsWme4ZmoyvsEVpW8X8RnasapY4jp6rzfnfuHDM9GuLWOQiTHNbmVNHiviPGpN+8YWPo+/8KLPcIcY+MKXd8h9I4TBWvEsdO/+e2iroh6qUUwbpdVR7a81/D+M/2NGdm0627omQCMsJxaUcf0iU+dsHLm3aXMKlv1jdsLL/pjUYZ0AkF0I0761DMNZX2rC88oWIsN9brq6mm5RkFfiyI7ZSpbtin2k4kWrCmbyqp3XHHqqsOob7UVrBHyeSeN1yL/88EzGoGyRZZcO7Q5Lr3xYICFuurFNnUTHt+7dR4TTXgHv+uesZNJxETbb5z2zSL9624o92oc2cqwEg8KqgvLdlUFzlG5qGcaolv9ppPN0zTS//evWp7N/tynSoXongeoLMu2vvj02PM+84ls0VnfT5Mdt//rROm6Y/0KYMH6BAjWf5nxbi4mL17af13A2ICsbY2bcLkDf/2tmfFwz3fS5jzy6hLijahMsL7n3vuLi5WLsWzdh3gz4EYTf/wpGz+cuE3gwyCegwmYgAmYgAmYgAmYwOQS4CVUL2A8r41HiANIWDGngyIMfERLB1kak3cqWDMpkgGrGBisUpnZxgGq6NaOl9w0pIL1v//wp2MGJ1auWlWkX/XSiXCuMsT1plnjjoEkHSt7aY7PyOSvEF+GY5o6XreVQMqgd90AahRiEGgVGNyW8EoaiGLIDIg7GrxnywBrv9BUxOxa5midRXlTC1IExugO+PZg2cWxaOmHwJ0G3CTHupcJ1gxC65y4hqbqxrZJYMAdAQbBJw7uI3AhtMWQCoFlIm20fKtz1Uq6cFN5qUudaBLLwfembc25uHWmPuLFlnxjv2MfluNYtjUJeANQerE/N4nbVrAetK0RUFRGhNIoSFNOJhREUSS2dypAIsBEkY/4izft7+EqETdatSPYXhaEOJVHW/JHQO8XHp29JbdmJL3YZ5gsEtemJp04cQLBj2suBuqp/NmmgnXZpJF4vr7DN7VMZ8kCHUcgLgux77BecQy4+VV88YzHEetVf/p0GtJ+rrTSLfekXippSqP/x/JW9fUu/WU0p7HfmuRNLLxxxIkn1BcW6TUOO9YBjiEVrKOwqfO4B4sh6ZKfQpf+ojTIU+mzxrHCoIJ1E27qR+Q7yG83ZeT3Oy7tockQURCtEqy73J/Ep26bTg6J3hK6tFlcm5rfuMhRbagtwjHXrAITUHQMd+V1IXJNPVjUxeM3XXmwTb2pDHOb1dUrejOKgmoaJwrWvAfgTjd+EKuYsPnLX/2m55mZZ+f4zB9d/WLZXRaiNaYsQnVeFJwZ404nmGI1GZ/ZcXeucMeddxfP8pyDsBXD3r17ewQ8jZt3eYcgfYmK4sukgCjGURblFcsT372YWJu+e61fv6FHtGb95hjgHlnoPUZbXDYz6Zb3xqqJCqSp89N3MKxkdUzbKLrHpZ1i3C48U8Eatmk7kq+YU67UFTmM0D+kXTBZok2I2gqGfFiepx/0kN+f94eeSRCUJbX47qrDqJ6UqSqUWVjrXF1PZfFj2XCVj4AbA5Mu4rXKEl0xpII1k0PSPhzPT78/+dQzRf9igkFZiEaXcndedl66j+sttqPE7vQ8xizUt7m3dA2Lf/vjUhEad99HE76bHn+w8tzt01/uWpTS+HWidN2x0sTCTgvWJ0Cwfua4hXSbRcNZt/qy6/6Ui9BnX3BV9u7seaEZx34lbQRr8uoS4sVY9mPIgKYuxLh+YJqnbmicy0w0BxMwARMwARMwARMwgeEhEF8wcRPXNaxZu7Z4RuR5smymOnlEYZnnRFlAp4J11WxnvXQTV7O703TjgIfqFQVrZkhHsVvn4KqMY3zK1ljjvCj0x8GNaF3Ny3fZyzaDJXqOZnBIoYtgHQdGcbtaFbAk1Lmpi0osCHWMLS7D4yDw43PHirpl+TQVMWNebcuMyBPLViWkR+sxRDmJfVhRK3+sTcsChoFRPE4F6yj+p2KAysa2SYgCmcrFFkuwNETr6pumly8DFctWt8YmaWOVpjz7Dd6nZWna1oqHKKq8qrbR8lrxyrb0GXEmLVxAtwltBOvIs01bY42peiLqpqKtyhv7Y2yvKEAywaLKEjqKQrIWj675VQa2CH2IuHHCho5XXUcqZ1kc4sY17Tk3Csbkh3VtWYhr26aCdbz2VG4ELoTwtBxnPdZrJUkfQjjlUzVhI7LV8ggqI1a2xIVTleVoFLKi6BzX5RZX7j2sg4zbfXhoP9uHZvaK5SpD3Dbt67FObftLzC9+b5q34iC6xvqVfS9zfR0Fa9q4Ksh6nXSnLxldUqFLfyEvLHTVNlyrcQLUIIJ1U26RD3GqQt1vd2QX2fYTrLven6rKyn48PEQxnHrGsnFOlzZjCYXITt9JM/YR7Y+/bXim0H5cp9cFLLV1bpxMVBWH+8Vdb4+mT9z0N4O4w9hmVXWK++OE0TjhMp7D9yhY63m3yfaGm27pSer+Bx4qnserhMJo1RsFZxKK49F/uv3OnrT1TxRS4zJFUbxNhUPFjS6s9b7Q5R2CdPV+g2CN0Vec4Ms4fGqZSpwlS5YW7xXUOXVXrPLGtcLL2g9x+Fvf+V6RVlWbUcbLrrgqd8WstNkyIVlaAlu923FM9YpcaV+F6Pody1yFLjxTwRrL+rKAkKy6YuU9nkE8lH7TbTq5gjJ11WHUBpSpKgwiWPOuq7SpX5yIEPOJYwTUJfaPKFjjmaxt4FqJrMkrhgULFxVt3G+d6xiPPhPTpdxVYxtMwFf74pmgS9j5zhuVAjSC9aEtm3qSL1vDmvP4fPCtL2XHDvWfcN6TYIN/6kTpumP9krZgfQIE60EsrB958oVcgL7kmluyDZv6v8xMhoV1vOlH1ydlnS5esLiAdDABEzABEzABEzABExgeAszq1ssVs+e7hijk9nvhjC+369Z9LLxFwbrM5ZbKFwdw4lpVUQjvJ1jjoqxt2LlzV+4ePLqti4J1HDhj+ZuqMG/eBxnrXcXBtUEFa0QwDaiyrQtxPc1UsCZeXNc3ponr3yjK1OXRRMTsWmbWFVX5EI7qAuKDzpV77MtfGl1TEyvyqhDF3ChYY00qsRRhaM/BXkFOx5oK1qwXrDKmW9x9R9EsCmVVa00jzOMymk9cJzatJ+2gsiLWROu39Nyy/5u0teLhGjmtG22Tio+cg4DbL/x5ztYiPQb/24amgnWXtsb1t+p8w2vVZYwiH+KmQhQg64SVONkErwKEN5b0WvhRDvpz7EtYYZOfylhljazypNazikffwdW3QnQxH5ce0HFtF27cX+QdBWv6r9JmixvuGLBOTEWheH3Gc9PviOdzV+/psfpNBes0jv6HHZNgWDM3li/eG3EbrmNwIa8YcCuMhbTOYcva6HWhaV/v0l+q8m+aN/HJX/cT1Y/rO96DtT91IR8FPNKpClj5Kw36M6Frf2FyUhRA+Z2MYRDBugm3rr+DlBG33OKRTtzoJ1h3vT9FRvpOW3AtSvxX2bgPxOuka5ulVvvcu6IFNNeqXI6rDO+t+LhfxSVQEK/rQlz2gOVG6gKThNJ7JM9Z6YSdYWuzujqlx1559S/FO8M5vz8/PVz831awRhDCfXXTgEDGurWMMcd3ifhMTVpRsMaStizgCUnvQQ88+HB+Shzz5liZR1FOxIqSZ3k+0TK8LB/29XuH4BzVh/cMXEKrbDCqygN2Oq/K+pO0sXLXeQhvVYF3McRtxPwoMCuutpQ1FdC/890zizw0ySAuPwVjxY9rE/POqP1V9UzL249n2o6p11elh8W48mY7niGKnTGPft9xqR4nPce6DKrDqG9RpqowiGAd3937icHxmsTqXyEK1osW17/XKU66jUtr3XzLbT2HsZAX87vvua/nWNk/rJvOOILisOVaSL04xLiRHcsGDBpGjhzJ5n/3a7WCNe7CY1hzyzW156+///Z4+rh8rxOl6471y9yC9QkQrNuuYc0D3QVX3JgL1rMarkk9GWtYx5kp0YVjWaeL7hK5QTiYgAmYgAmYgAmYgAkMDwHWZdbLWN3gRdMS337HXUV6cYZ8Wfzo4o7BHkJ86a0T0L/7ve8X+cSZ3G0E637rQzMQgrUH1gYMHFUNOkTBOlomtJ2sOahgDTcNyLKNglTKPQoaZWs3MnCPxXFMj4Hn1N1vmm78v6mIGfNoW2ZEoBgfi6qqTzxP61lGq6k6QTe6iJUgxjtajJ8KUrCQaNNUsBY/rPoQSy58btQlMeWPLsujEIB41iVgfSo+ssxtk17Tto4WyuSHkLD/0Kg1IdbRqXtY0q4K9JcotEbXwFVx0v1NBOuubY3LZ/Gl3ar6aGoRqLLG6xU3tlUBd7fKBwtDQurOH5G1LKQu5lNxpSwOLtuZLIEYo3zZ6lpibW7tR2CsCqSj86JgzX0Iwf35D7fna9JXxY8W2ghLaaAu9723OTv7iZW5QB2vHeXLtkqwRlhCaEPMLJtYoTSiEEdfhD3Xllwzp+VCqIzCFpM5qkKbvt6lv5Tl3ybv1LKc9oiW91zvUSiEXZwsFAXrKm6UMdaRiT6Erv0lLv9Q1hfaCtZtuKkPsSVeVYj11m83kx/ib43WWFYa/QTrrvcn5aMty1Ok9zLK9+rCsZPCurZZvH64rqt+A6LrcP3G4dVA3JkQVhcQwnVu1XIZ/Falk1CIwz03bdNha7O6upcdi16ELr/y6rJT8n1RsMZSGPe/6YdnZ8RLLEmrBGFlwLvKxX+8LLc2joKX3l+0rROsozWn0mXL+riKL4tfhFbtG/TdaJB3CMojUVH5x+2bb74di158h63O410Fl8hVH53Htmng3erxJ57KsMpO34WYXBzXuI5u3DUxOIrUTDTAoxf5U1cFtWvVZOVBeEaRF7GxLih/yrV1azOPUnXp6VjkhQjNRID44ZpCQOWaiS6rKUdcu3k8dBj1LcpUFaLomoqzYpTGj67gKXdV32M/x/V5//1RD8JRsI79qaqcZfuxalbapBcD17GO0ZeqAn0mituKw7hD1aQXpYXXAZ3fRBRXvHS78ZF7a8VnrKb3LPigJ9rKqy+qjTPny58eY5Xdk8AA/9SJ0nXH+mVlwfoECNar1qzPxec/P1PuhiJttKPHjuVrV7N+9dGjvbP203P1/2NPv5TnQV5dQryppi7BcYmgi7DOcoT8camic7nxOZiACZiACZiACZiACQwPAV4K9azGtsxFdlVpX5/+Rr4eFWtS8RJOYA0upffSy69WRc33s66dzsUVHCEK1szSrwrjIVjXueti7az4PKxyahuPRcE6Wl5XuTOvqlMXwTpasNWt//viR6MWn6mFm8oVLcMYdI1Cks6p2zYVMbuUOQqtGkxusmUdZUKP2Ll/dB3UtF4MwCtdCdaRIYPZWFWlnyiM6VhTV9cqA4PryhtrMgKW3NpHHtXyhlKp3mLhFtugajC+OoXma1j/+KFRt6qsJ1oWGNiP4kCVwErcl0I/lnhTlmbdviaCdde2rnL1rjas2qrcUaSKFsw6HrdKC2GVEL0pcCxOEIjx+B4nqcxf9/E1kp5T9j/Ca2wzCUK0scqDFWdd0Hlt7zOkuWrbqMv1dHIIVtnxOlQ+2sZjqUiJ0Br7rOJoG+Oyb5DrEPfISq/MZbCYtenrXfqL8ovbNnlH0Rcxkb5RFqLVa/TyEQXruglSsV9H9/lleaX7yvpLXDaC9mCSgu7Z2kbra3572D9vzd7Kdm/DLd6D2/52xwkbeHBQebWNSw3AWvs10anr/Ul8aevYrurX3A9S7yOK03Rb1mbEjZbP5F0VojUz1zQhWpZf/cq6qqj5/visgGeXNJBWej/A9X/V8grD0mZpPZr+z7O+noNT990xjShYs+7xoAHxiHWulWe/bZVgnQpssTxlgnX0PnX6N78dT2/0fdB3CBKXqFhWV0Q3mKQBIbns/H770nSa/M/a3Vhxx7RZk1khWnHzrkZQ+WQZfM211xXxmYyApa3SY+mmNAzKMwrWWKvXha98/bSiDKk76bp4/Y7F98V+QjjrPjPBQyximcdDh1Hfqrse4vXWVLCOkxRU9ibb+B4eBet+TKuOY5EehWlZcOPVTOVhrfeqwHkS5XU+fVaT6qviaT9W3YqH8eYg4fCObdncr/5DrfiMYL1zZu/klWUXnd03zvLLzhukSJVx6kTpumOVCR4/YMH6BAjWXDznX3Z9dtFVN/Vrn4GPX3jlTXke0XXEIInFm2oqWE9/Y0ZxEZ7167Nrk7/z7tHZaqlLhtqIPmgCJmACJmACJmACJjApBOLLGSJ00xBd1V1/4815tDgr+cmnnqlNKrqN4yWRMAyCNZbReuFkywv+T372y4znWtY5wzqAl1edEwXr+MK9ePGS2vqnB7sI1lFwWrRx7GCW8nrQPN9PAAAgAElEQVRkVr1lEUJBOvjK4DMD3U1DU8G6S5mx2NKgOOLIAzM3N/pICInuROvWPo5ulSVYI4Qp7zZbLM8IWKayNvWMpdUz/DkvWseRDyFa0tJOXcLri0cZ9nOrXpVP07aWFSD1qBPusagVUyzWygIyWLSuw3p7kNBEsO7a1tHVOxbkTfop16hCFCDrXNfuDRMZuK4I0c14KuYqfW2ZvCLuiPSI2/RRPri4rgtcF4qLUEOIky2erXHvjgW04g4iWDPJQfHZ4iqcEPsR+6n/Rc+tzpiMA1PuA7jLV9woWLOOcLq2LkyxRkWIXLxpf57PmfeNWl6WS7N5USr/zA1eItRm6clt+3qX/tI177hecezDabpRII73sChY1/U57p9qt37WsWneZf2F9lR6bbdlk0DatlmX38HUK0XT8kvg7Xp/gi+/SXHSCmVgWYIqwTZtk37/l7UZcaLwq9/msrTi8iGIz4QoYmsJhbK47IvPQ7q/6Fy8L0Tm3DdIuy4MQ5vVla/fsSju1gnR4yVY8+ytZ222iEdMjEUgQ+xCPI3vHeMlWMfljeomz5bx6vIOQXoSFakv7xS43I5uucuMxuIEYNwYI5b1+8Q1vRnXl1Vs9FpVVj/ti++AqUctTd6lLmgTKj/lJMyZ837RrsSNzKKIybnxGEzavJNFwRqr7roQrX+bGgzWpadjUVvpJ1gTh3dn9XnEV4Xx0GHUt+oE6zghvKlg/fQzzxZlxkK+X9/T8S1bRp934/uz6jzINnobuO1Pd+RJcM2IKe/xZQEPAjqHLYzuuff+VhP5Y95a074sr7p9K6+5uK/wjGDNeYc2bcg/+5Ytzuad8cVG8VLL7Lqy9DtWJ0rXHeuXrgXrEyBY0ygPPf5cbgG9YPHHs/vqGmrP3n2FhTXf+4WPFi3N0yaPriHeVFPBGl/+upBZP7AuxB/OLj786/LwMRMwARMwARMwARMwgcEJnPHt7xbPdv/8mS80SojZ53oeZCvBOboLZF24uhBdn7EOHGEYBOs4aIELwrKJoPHFNgrWsiKACQNeVYFBP+JFRl0E6wueHXUhXeeCNw6WIm6kgTUw4wCsvjPQWzY4n8bn/6YiZpcyRzfGuOduG6L7zrp1KaPAr0HxriJmFG8Rx6oCx8SfLRbRhOiaGLGgLLAfEY5PlWUu4qLSr3M3XZa+9jVpa4qtfNimbmuVFtso4lW1K27dlR4sa7zoxqTHfJ8MwfrhMEEEN9ltQxQguV6qQrwedB5cxInt8e5TmsS5T68qzmVyCi6ZFRcxqi7EMqrNopeGOkv5WO4oWLO2NRM6+NTdd6IbaolRlDW6JWbt77K6RyvLKFhH9/Vca9GtdeQQLWNj+vCg3GX31xifyQBijJheFtr29dgW6gdl6UbuVee1zTsukxBdfaf5V/XLKFjXTXKI15TO69JfxluwbssN/uoHbX+74++50miylWAdWQ5yf+I3KT4zIO5yX20SurQZ6cc17LWWeVm+8V6GpTyBSWriRJnj9RvTiNdJeh/kN1NpsOU+U+VVIKZ5otsslmWQ73GtZImPZemMh2C9a9funveMKq9Ncd3a8RKsV65aVeSNkFYVlixZmj/L8zw/d+77+Wld3iFIQKIiYqWsqaPFd3znUrkQ5vRONu26G7S78Ta+u2DN3CSc/4eLijyxmI4hTiKI657LmxbevKQ5sI618mdf6umrC88oWJN2VeA9T+WRFXjVuW33K13ap4lgHfWWWOa4f1AdRn0rppvWJ/JuKlhznvofluqDhPESrNGvVBbGNFgKQBMmqH/ZZASWJVActnhVYHJ62xC9zNHv24Z9SxZmsz77yUbCM6I1nzlf+btW5y/4yXey4oWybQGT8+tE6bpjSTJj/rVgfYIE601btmW/Pv+K7Mob7siOadRhTPN8vOPNd+fkAvRZ512e8b0ukNYV19+Rp00eXUO8qaaCNT8g8WKuuulynm6InM+PuYMJmIAJmIAJmIAJmMBwEWANqfhsh9uxfiG6DONFUC+AzIxXWsywrwpxfTieFxVOtGCdukivWkfrZ7/4VVHPKFhffc20Yj+DaGUBV+FixMCAQhfBOlqdMbBa9poR3UkzwJoOrkY32wzish5tFEcvfr7clbPKr20TEZNzu5SZtZ41WExZsTAtC9QRa2qETQQtcYlrqVa5qCY9WCofCdY79x/JGGyv+0iUpmw6TxZn0b1sneV6dH0bB8t/9OCoe+0qd8tRiJA4EflgKaZ6sR3UbWvTto4W7YjSVSH2wWl/KXfVGtdHRiQYNDQRrLu2dRQQJZaUlXfl1oN5H6XfROE2xsd6r0qcp43Vnve9OzrIFi2FEdLKAhaM8Tqnzmn/qJoYQXrkp7xvmv6xa973Vu4u9iHsVglCnK+4sd5xDXddd2Vlj/1FlpJp2fm/LES35VGwRmBXmW59o7x/bd59uDiHc2MOkeXaHQfLss73RXfMVYJb277etb/EwrbNO1rVY41eFZgAIL7yOsG5UbCuWq6C8+JkBO6RhC79hd8I3aOrtvQtlZl7LufhySS2e16QLMvacuvyO4jwWlVm9jNxQuXm/qNz5do69pdB7k/xOue3DvfdTUOXNiOP6GVFnh3K8ub+IQZXv/LxmuecF/tRlZeOeH9CIFdgEo3SZFs1KUznx+2JbrNYlkG+N3WtOx6C9Vtvv1M8K9dNpkXY1TP1eAnW6Zi3XAunzLBmVt4I6l3fIUhfY+i4ho4h5pWuGx0twussiRmTJ30+CMUKuHdXPaIbah0v20bX1RKidd7MWbOL9KIQuW376IQWREHyVHn4nrpr7sozCtakX9WOkR+TuMczRG2lSjuJ+bG+stqCrULaJ6vSqtNhoke1snWcWas85t1UsMaVueJR36o16Q8dPpwxNkCbc93GdeVjP1GdB91yv1B5osU6k9DLQuzLdRNxyuLGfT/88c+KfDWBJR7v933hL89sLD4vOeenGZbVI4cPZ1tfeqaRG3GJ3Jw/HqFOlF6/cUt2+Q135Z+nXnw9m79waeMP5ysu6UzV8N/tP3Aw47OPz/7ez979B7O9+w4Unz37DmT5Z++BbM8JEqwB/ehTL+RC9AuvzqjlvnHzluzcS6/Lzrv0uozvdeH5V97I0yTt8QjxppoK1qT/re98r7gQzz7n3NIsmZmlm0TZjx5rVTDrhE9bl4mlGXqnCZiACZiACZiACZjAQATS9ciiq7iYIC/CUazlWS/OIj5w4EAxk5lj6SAGaSFuR6vua6ddX2QxnoJ12fMna6Pp+TR1O0cheHnWcbYLFi4qyqYvb7/zbjETn3OiYI0rvRh/5cpVilZsoyt0rBAUomAdmeh43RZRhgFjDaKWWWqxVqOOn/1Er7tl3LTG+FhIEuKANnEZXO8XmoqYXcscLfqqrDijmBZdTCM2iAVbBMM0xMF+zqkTztK4sr5EgExDFBepQzpxgPNhE8XyuM4mVoUqO4PuqZhIehLMOQ/Xx2lg/VWlgQA+aGja1liQKj9cKZdpiNQjCqy4pi4LUbCnHoOGJoJ1k7Tr2pqJALEtysR6JlFEQUzXHnmn1x8TLdKAKBqv3WjBHgVduJf1Ne4Vaps4MSIKOlWul9P7xvTFH3vKoC1jvVlLNw2IvrHcUbCObUM5yqyssa6O4rDygKfqw7ZsbXbaIeYdBet4zyhbHx2G0f01eUThMvZ13BbHY2Iwf92olwDiazKLjmvbtq937S/Kl23bvKMbdthKFI1p8j1aFMfJQlGwhsl7K8Z6AInLGMS+2qW/pOUr+z+6ny77rYhx2nLr+jsY806/x2UBytZJ73p/ihO/WD6jTejaZnBjEhp9hU+Z6MxEtngO14dC9JTCfST9HcUyO97DmMCnEIV6JmqMZ5joNutaVt4BNFYcJ1ym6Y6HYI3go+dpBC7ErjTEMWfOHS/Bmnyi+FQ2ATVOvCVvxNGu7xDkS11JLxWs4zrPHL/q6mkFjt27dxfxOIbYnwbKdtrpZxRMWeZIIZ24zLtJFBN1nraPPvZ4kQ75MbYfQ+wnHOeDyB7D7Xfc1ZMG5+D+O4auPFPBGstkTbBWPry3fvrv/6koC+u0p2H2nLmFdhHdWKfnlf2v64X6VYnMMV4q0sNSoasOw4QAtcdzz/dqR+QThV7OqxKsORbLRfniGuCXX3m1ityzZfkw5Z+62h9Pwfr+Bx4q8lF+bNN+SuFiH+GelvaPngr0+ScK303aOia3/fWXGovVCM8H1vaOL6y55ZrG8eed/rns6P7ySayxTP2+1wnWeC245Z5HC+FZAnSbLfHLvNz1K9ewHJ+SgvX+AweyS6fdlgvMcz74eB2VKqBHjh7N+NQF0sAKmzRJezxCvKmWCdYMvsULnx9wZmtxceM+Jc7Q4ryyAcG4jsBPf37WeBTbaZiACZiACZiACZiACQxA4ODBg1mcec3z22c+96V8bTjWpmKG8kUXX5qvcRafAXHjloZ0vTHEb2Zt83KLdbFcv5EOz5xxJnZXwfrQoUM9z6gMqrBWml54+gnW1CW+cGKpwAAYL7Q8z152xVU96VMH6sNxhbgkDgNPiPbUHzH7d+f+oSd+9EAUrdOZec6M/3hc6VdtsWrT4C1bBpMXbtiXzVu7t0ck4FgcfEXgiVa/rKkpS2TyipZQDOBigVkXmoqYpDFomYkbXX1SJ4RgxDssRhGAokDPcVjEEC0cEViwkmJt2+37jmSPz93aw5L44yVYkwfp6YOQyGA/Zcf6EMuxKNxSNsQ9BcTeuIYz8XFrjoCHBd2PHxq1wEZMLRMpoxVpFOuUR9Nt07aO1uLUmzWzGfRncB5hi8kB0Qqb+iFIpAFRQdzYltUtjVP1fxRMuogOdYI1eUfRmDLTj+gDlJ32igIXwkm0dk8FSOJTVtjR/7H2jKJKak0PwtiXEH+ZwED+3AOwII48oxV2dI3NOQixrM+6affhPC6CTxR9ERC59hTSet/77qb8ukR8pl6x3KQfBWuuwZg2/YE+wnVAn8PldBSrqVe8Z3FNqF7c25jYQN/hXhj7vs7hXiDBKopRHEfQpzzkyxrWMW3Fx7JUdU/jM1GG65P7JmJnFMqIX9X3BunrXfuL2m6QvHcd6BUHaV+uMe5p1B2RngkAYsY2ultPBWvaH2tl7h1MOmD99xg3Tp7q2l9U76ptU8F6EG7k2eV3sKrM7O8nfnJOep22uT/F9be5fs9/pv9HovF4tFl060/fuPPtjdmKrQfy+xsTHuK9Tx4YxIv84z3oBw8sze+nK7ceyPttPJaK/UzgUV+EQZN6V3lRUHm0neg2Uz5dtoh+eg+Iz+8xzfEQrKOQRH6ss7xs2fIMy1Amyv7ghz8pyqHysB5y9Iyk9xreNapCXJcboUshFYgZ88bCHCGK/JU2eSNuK3R9h6gSrEn/5ltu66lzfEdgzVxxYPvAgw/nbo15L6LcX/zy14rjeMZC5I4hjs8Tn0m/8ECs5R2GNHin+sZp3yzS4Twsv8tCFEc5j/efGDBaY3/8bN021ltsF55pHyIvLMtZD3r7jh35+10UqxEsUyGWMrNf5YRBmxC1laYipvJiG63Cu+owsf9QLvrMB/M/zLdRcFb+qWAd+xBjAno/hgdisOKxxWU85YUn77/n/P78nuP0pxjGU7Cmb8ey8J1+VBbefPPt4lzevbmv9PswcT8NTKhRnnUe5tJ4/H/s4MHGa1AjVs/75ufHJLNz5tuNBWvSWHtH+6UD0kzrBGvOXbxs1cCiNWI18adymJKCNcA3b92W/f6SabkL7zfemTVwG8x4Z3aeBmmR5niFeFMtE6zJJ86O0YVZtv3jZVeUFiv+IFqwLkXknSZgAiZgAiZgAiYwaQQQk+MATNlzXdzHM14cGFJB01n8MU76nXXZYugqWJNWHExTfgjyhCaC9Rsz3ixeOhU/3f7kZ78cc866dR+7w2UQJA6ApHH1PwMFMaSz6jmPF/imAakIt90aSK3a3vPuqGtL0n5o5qiFJXFSt56pFVa0VC4rW1MRk7iDlln5MghcVc+4H5EoDQwMR+ureL6+RyF/vARryhGtWpVX1bbM3SjCYhxQr4obJybE+kfRrcwCO55b971NWz82e+wkgKpyI+SWhSgGUocuYbIEa/p403VL5eJY9YoCZBRwy7ghnOw+MHaiOyJtv7ikV+bGGU8MZXml+0g/dX+Ndh3XSU/j8D8TF7Q/CtbUHytoHavbIlyzDnEM9Om6OByLltA6l/6M8I14pX1lW/KMVvFKT2WI6+uWxde+qjYjnUH6+nj0l0HzJl7quUL1LNtyP4ghCtZxMkJZXFw7j06N+DiVLv0llqPse1PBepA2I7+uv4NlZWZfE/Fz0PsTE27K2qbfPiauKHRtM8qeejsoy5/feVxxp4GJEP3ujcRNvQXE54Ky/Mr2/eyR5Wn2pf9PZJuVZjjAzjgO/Pr0N0pTGA/BmoR5z9Azc9X2Rz/5ec85iE4KeqcZRLAmjSpLzVgW1jzGJbJC13eIOsEa8Q8xTPkjwskSmom50W24zinbMpE3DQhuTFQuO79qH+8oZSIzaaeTl9Plpiiv6kr6vDeVhS48ywTrqrqwP04AiGWZbMFaay5TptSNdbz+6upSpsOg7UTmZfHjBIFUsL7uhpvG9I94D4iCeFna2le2Tvp4Cta0XTphIk5GiW17xZXXjKmTylm3jWnwnWtK56dtlp6b/r/+3ttaic0Izrvnze5JZsXl57VKY/YX/jY7uKGbh5B+gjUF5DrHrfeadRt7PtPfnl1YX8+at6DnGOfL0KCnklPsnykrWMOZBrvgihtz6+j7H30627lrrLu2qvbYtXtP9sBjz+RxSYO0xjNEwXrt2upOzM2p6oZHGumPUiwjM3J0QZe5WInn+rsJmIAJmIAJmIAJmMDEE0A0LXsh1TMbW9y6lQ12xNLxolH34soAT9nAALPPlVe6lllM/8zv/7A4b/Wa3rWVmTkfn2VJT4J1HPzCaqAqPPTwo2PSIB0GEeSy7vfn9VpLr1k7uj4iFg0836oucUvdq56R777nvp582wjW1AWRKK7NGgdOGZh9Ym6vSMBAbDynyto2dY9d5n5TLOOAK5aP/ULbMqfpMehdJXBgmVm1zjPpIPBViWpYPuLyWHxwxd009LO6JR1EtTrRmUHxKsGZ+HCOFm4qJ1sGx8tcIRMvFRqiRW/T+um8tm2NoEafiGWN37EOj1aXykfbaImYWhPrnKbbaJ3XJa0mbY2wUjdJAdfw0bpZdcBKUHy45qK3A+1ni4VwnbU57RQt72Nc+qCsHpWvtpQ7tQiOcfmOmFfldYFrO7oNjnERhaPLXlxFpwGr3DpxiMkzZSI96XC9lolR3CuYrEDgGo9l4noncF/kGorH9J3JB3gzoJ/G65e2iYE86ibEcK+FT1UYpK+PV38ZJG/VAyvy1JJa7NjCBIvzNLAevc6DbVwSQfvZPjJr7OQjpdWlvyiNsu1lL45OBKty3068Lty6/g6WlTt680gnhMTzB7k/tZmcENsvtTQejzZLrcRjfuc+vSq/z8T6xu9MEqq6TrlnpmI1rMruKzHPsu+phXcsQ/w+kW0W8+ny/aMFC4tnW8Z0ywJL5ei5t8o9cFm8dB8CbfqsrXQREbEO5Zw4SZTndAWetzmfMeuqgFW20uTZPw14P4oCos5li0elMsG2yzuExtcRj8sC7y6xDHon4Vzeve648+6e4/FcrGhx/10ViI8FcVV9lRbsseDmXacqxPc54u3Y8fGSIfH8aCUfl1eK5/B9UJ5RsKbuiJbp+yFl4732rbfeTrMt/o9i6uNPPFXsb/Il5seE5iYB715izVbvsIrbRYfBEloTOWIetPkzzz6XRY8DuL2PgYnZadwoWHMu7uir+g+cq/hFd+Qxz0G/x3XJqWeVN4joJj/y6Pc9LVcUvss8DKfn6/8jO3dkc7706VZiM4L1B9/+crbp8QezvQvmZ6um/TGb/fm/bp3G8j/+TsUYaNtEsK5K+MNFywrBmnROxjClBWsaBOF52q335MLz2RdenT3x3CvZ8pVrillSsdGOjYxkK1atzZ58/tXstxdencchLmmcyMCPlNxIcJE+8eTT+QAkDw4OJmACJmACJmACJmACU48AM+1x18bLK+spM6Aza/acyhe+qhru2rU7dxmGW/Bp192QvfTyqxmTISd65iwv97gOxGocq+1BAgMLlBfhHZfouMRLA2tcM/ufZ2FZOcRzGCxhcIkBIKzJEen7rY+FpQaz2il71Qt2zKPsO+IVlpVYU+NKlbVl5fK27Pxh2NelzLiPxsoSK2iEILYfrG2+vjHWoQhM8EL06SLitmF58MixbOnm/bmoztq5iIMIk3WiSJo+YiGWfZQfEVyiW3resPzPgD/u2VmjGvfMuHF9bdHOWnF+WMretRwItLinfnjWlryv0Wa49m4T6Bu4pmbyCZM1ytZ3rkoPd97Tl+zKvSog2DMhQq6sq+KwH1EYYQlhiOvryXnbctExFXOq0sD9Lm7vsTymraOL+6o4cT9uenEDft97m3MhGpGpyTXKtYHraEQyPBWU5cvEDq4bBLjoVpz86afUmeuS+qeTAuDCfZb4iNhpgC1lpZ25vnH3D/M0nTTeeP7fpb90KQf5suY0FrVMWmCNayZltKn7h+v25fdyJh/gdaFsmYCyMg7aX8rSmux9XX4Hu5Z1PO5Pg5aha5vxW8q1xn3xz3O25ssXlF2TVeXj3sh1ym8Szw9VE76q4p+o/SeqzWSJi7g6GeO+LDvJczhLTyJE8W4RA+8sTKTleRw3xBMReHdh3V8ENwSpfuLjeLxDDFoP3h1w13zbn+7Ipl1/Yz7Rtmz93qr0eYfivQbmV18zLfdOxbsQS0SlImZVGuO9fxCeqWBNmXj/ZNIFwj4C9sxZsyelD483j646zObNm3PX9ug3tDXXUJPAOyyW2ryncl2Wvfsy+Z13WCY1sNY6nNuIuE3KMUznwEQifZWngKrybvvLC62FZgTr8fjM+crfZSN9liCuKjf7o2D95ntzc20SfbLJh/O1nrUF630Hsj367D2Q7dm7P//s3rs/271nf7Zx8+78U9cYE3WMG+asufOzi666ORehWY/6d5dcm115w53ZrXc/nH/4zj6O8eFc4kz0YN9E1dnpmoAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJTA0CTMCUBSITWx1MYBgJlAnWw1hOl2lqE4j3Qya6twm7ZrVbe3o8hGqlMe+ML7Qp6phzmZhw7W33F8KzBOg2W+KTzskYpryFdWwUZmUsWroie/zZl3Ox+rxLr8t+dd7l+YfviNYc45x+lhkxXX83ARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwgS4Evvjlr+Widdula7rk6bgm0IaABes2tHzuoAS07jfbtkalI0eOZIt+/YNxsZiWEN10u+WFdu7ty/jMeHfUUrqNUK1ziX+yhpNKsC5rpKPHjmV8HEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzgRBFg2R1ZWeOm28EEho2ABetha5GTrzxvvvl2cR/E1fwg4diBA9n2Ga9m6x+4I1t//+0T/tn42H3Z3kUfDVLU0jg7du7O3p0zP3tr5vuNP5xPvJM5nPSC9cnceK6bCZiACZiACZiACZiACZiACZiACZiACZiACZiACZjA1CFwxZXX2Mp66jTXKVdSC9anXJNPeoU//8Wv5vfA3537h0nP2xkONwEL1sPdPi6dCZiACZiACZiACZiACZiACZiACZiACZiACZiACZjASULg0OHD2Znf/2F22ulnZJs2bT5JauVqnCwEDh06lP3VJ/4m/5z167NPlmq5HkNCYOfOXfm974xvfzfbs2fPkJTKxRgWAhash6UlXA4TMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETOMUIWLA+xRrc1TUBEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzCBYSFgwXpYWsLlMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIFTjIAF61OswV1dEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABExgWAhash6UlXA4TMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETOMUIWLA+xRrc1TUBEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzCBYSFgwXpYWsLlMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIFTjIAF61OswV1dEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABExgWAhash6UlXA4TMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETOMUIWLA+xRrc1TUBEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzCBYSFgwXpYWsLlMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIFTjIAF61OswV1dEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABExgWAhash6UlXA4TMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETOMUIWLA+xRrc1TUBEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzCBYSFgwXpYWsLlMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMAETMIFTjIAF61OswV1dEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABEzABExgWAhash6UlXA4TMAETMAETMHDfhEMAACAASURBVAETMIGTisCRI0ezFas3Zlu27Typ6uXKmIAJmIAJmIAJmIAJmIAJTB6BIzt3ZPuWLc6OHTw4eZk6JxMwARMwAROYZAIWrCcZuLMzARMwARMwARMwARM4NQgsXr42e2XG3PxzatTYtTQBEzABEzABEzABEzABE+hK4MiuHdn6e2/Llp73y2zeNz+fzfrMJz7+fPZT2YdnnpYtv+y8bMtzT2Qjx451zcrxTcAETMAETGBoCFiwHpqmcEFMwARMwARMwARMwAROJgKzP1hqwfpkalDXxQRMwARMwARMwARMwAQmmMCOt6dn7//Xz4yK1J/5RDb783+dzftvQbg+LmAv/Pn3sgNrV09wiZy8CZiACZiACUwOAQvWk8PZuZiACZiACZiACZiACZxiBCZasD64fm22ffrL+efo3j2ldA+sWlGcc2T3rvJz1qwcPWfP7tJzJnPn3kUf5uXB7eFkh90fzMnz3vPh+42yZkBRbdBk2yhRn2QCk0Bg/8pluWXWnvlzu+U2MpJtfeW5PK1jB/Z3S6siNunq+ho5cqTiLO82gZODwLD1d9wQb3zk3p7P4W1bTw7YE1iLTU8+nK2759b8s3ve7AnMyUmfSAK75ryXbX3pmfyjduZ3NV4zW154qnERj+7bm6248oJCqF7w429nxN+3dFE2cvhwns6RPbsz8trwyD3Z+9/4p/zcOV/6dEafy0ZGGuflE03ABEzABExgGAlYsB7GVnGZTMAETMAETMAETMAEpjyBiRasEXDkHnDbay+W8lr82x8X52x+6pHSc5Zdck5xzpFdJ3697cVn/ygvz8prLi4t70TunP+vX8/zXvTrf2+Ujfg33XogsRHWKXXSwQ3r8oHj/SuWTalyr7756ryvL7v4t53KzQC6+v+hTRs6pVUVmckrymMY7lFV5TyR+4exHzJJClFlz/xmE4BOJL8TkvfISM4HRkf37yuKMGz9nQlcuv60bTqpq6jUSfpl8zOPZZuffjT/HFy3pqeWc7/2jwW31Tde2XPM/0wsgZ3vvFG0CxMRJzIs+Ml3inbm+ZWw/I+/K/ZxzWAp3TQs+d1P87hYU6+///Zs5OjR2qiHd2zLlp5/VpEffdLBBEzABEzABKYyAQvWU7n1XHYTMAETMAETMAETMIGhJTDRgjXCjQaPy8RdBrkY8NI5iNdl4f3/75/zcz74l6+WHZ70fVNRsIbznC/+59oPg9cWrCe9O014hggRXGMLf3HmhOc1nhlMWcG6wlPEeLKZimkNYz9ENNLvz1RkOtFlPnbgQMEHzyIKPYL1EPR3Cdb8zm189L78Ywvrj1tL/ZstVrYxWLCONCb3exSRl1/6+wnNPOYlwXrX7Hfy62TZRWfn13hTwZr1qOlLc77yd9m+JQtalZtrM4/75U9neGByMAETMAETMIGpSsCC9VRtOZfbBEzABEzABEzABExgqAlMtGBN5RGZGaAqE5uxKuGYPgw2p5Yah3dsL44PiwXQoS2bMlyZHz0B7skHtbDe9PiDQ90XXbiJIzCMQmGT2k4lwRorbu4JXqOzumWHsR9asK5uL45UCdbD1t8lWM/5yt/XV+gUPKrnK7apYL3yqguzJef+Iv+wbILD5BGIIvKJEKxV053vzsifsZsI1oc2rs+4xuhLg1pJL/n9z/P4i375b54gqUbw1gRMwARMYMoRsGA95ZrMBTYBEzABEzABEzABE5gKBCZDsJZIwQBXun7smtum5QNX8874Yr7lnHS92u0zXi2O7Zz5Vg/WkaNHMlxcEof18poG1tPeu2B+peB87ODBbO/iBRnrYnYJDO7tX75kjAhfliZ5HdnVP78TJVgjUOxbsjA7tHljWfGzw1u3ZHsWfJCNHDvWe3xkJBfyGBTN3ZE2XLuwMr3e1Hv+O7pvX95ubJsGyour7CbWPvQ3GOx8783swOqVfduViQ2cizXiRK5rjCcD+mt6fYmBrsF+FtZYJFI/6tko0LZrVuZ9vOz8tunhnjlaRQ4sWI+MZLifPnb4UF6siXIJ3u8+Usakzb2FyTvUI53EU5Zu7T54rFuTIc7SvlX9RGnka4++Pyt3k93mWhqvfljFlXJzrXLvVtuqzFXbw9u3Zvxu7PloXun9tatgzXXN9c39aiJCq3tay3ZuUt4qwbpJ3EHvf21+N1WOJoI1/Rqr0g0P352x/EjZvY7rk3u7PtQhhkObNxXHOCe9lprkEdPju/oo6wlvef7JbPf7s0rvwTxL6DMm3107i2OcQ+Ac7qk8V+lDvdmnezwTbJRm6fPOyEi2f8XSXOhec+u1uftnrpl4n471IT2x072DZwZckm957vFs78L58fS+37neVT6VmXsiE/B6rrm8nMvycq6/97Zsx9vTM9xQx8B9VGmxpZ+lgfbWOdSjJzTIQ+fXlZt8aYOP/v2bRbssu/A3+T6utxi4z/FcRbtteOju3D1/2vbxfDzkMHGK9aQRlPl9JkRxXBbWitdGsJY1du4NqeGznPLRlnab+/X/ktd968vPare3JmACJmACJjClCFiwnlLN5cKagAmYgAmYgAmYgAlMFQKTIVgjFmiwlMHiGCS+rrvr5uyjH56Rn4eIHcOq6y8v4sfBPAYlcXGttNnO+2+fz1Zcfv4YUVVr9W146K5swyP3FHFYY5vBSeJiNcJA2oIff7s4zn5cZqaDrAzakTeCmoLW9GNgkcHUtGy5BU3JAN+2117K5PI8r8MZX8zW3X1LPjjJftjEIGZt17Bua2G95YUncw6LfvWDbPfcmUV95NpdZd41571s6QW/KpgV6/eOjGTr7r652E/d+GBFT9pp6JteGiH8v3Pm2/n6i8qDLRb9219/KZz18Ve1C21KX6E8isd32i8NDHRLPNW5bOkb26e/kp6e7Xjr9YJXPH/1TVeNEdrgyzlpvydR2HKMcils/PMD+T7Wg2TdXayiYh4f/uD0QphjYDwe0/fYbxng3vDgnWPKywD3/pW9a14rPcqDCKG+yISTIrRIT3EQaWI94Lr6xivyD2VuuoY1Ez64LmKbcl9h/V3VXWtYI3pqX5n4qfsRIoFC7X1k5bKcIf1Lk2cGubeQF/F1P6GM1AeBAIGN64SPxCCVrWq77S8v9PBQemvvvHGMdRsCjTxiiA1b+ujhrZt7shjPfljHlUxZO3nZJecU7aWyfXjmafl1UzYZBBGZ3wOdq20uDB2f3KR7jo6xJc0mgQku6iOKT3pr77ihhyv3fR1n8lUMCIG0LZ/UwrLNPY00m7azypL+FpPG2tuvz8uq3xa1i+Joy4QC7g309djfVbc29z/187a/m8pL236CNeJdvC+oLuzjPqtAvXSMLcclfLKNaeTHtm1V1FwgjMeVDvtiHopAv111/WU9+SkOzyPbXnlep+YTwXSMLc8xMWx64qGedLivLz3vlz37YnxEZ0KPS/CbropJ5r8jTHKK8eL3tAxE1u9rXsYH7yx+I2I8rhvdI3syLPknxuP3nN837WMSCoFJBFGQ1XG2i8/5SfGbi+Ad24frNQ1c/4oPG4Wmeeh8pcE2LTfCfzwevzO5TCH/fT++HE48h++sG50Gnr3KONAP4r2qi2D9/mkfP2/wW6QAG9Jcdd2l2lVseU7gtys9tv6+P+UMVl57SXGuv5iACZiACZjAVCJgwXoqtZbLagImYAImYAImYAImMGUITIZgjTWIBtvywfzjdBCXtJ+1MRGg+R8RLIb53/tGvp8BNwUsdRSXQUdE5jhQyr5olSirkFTAQGyMa3HK1WE+EH/c7SH5MMgZLYsZnGO/xFvKpX3pgKjKyXbMoN0DdxT14Hisg+LFPMhHA7YM9DcJSqe1YF2sU/j3PYO8Ko8GulOmWA4RED2UN1yxJopsmIgQQ7/04rnxO5MQlA/pR2t99tOvYlAZ1Nb8T39RGmx3zPhLjJIt/Pm/Fsc5X2VVHMQShbQ81Du2K/07WqEv+Ol387TjQLXS2jXr7SJf7cMKT/lqS3lUL/bJ/T4DydQzHuP/QhwfGSn6LfEoZxSOiUcZFLBsU55R2CwE65bpke765BpI2ZJfE8EaQTW2I2WP9Va5JVhL4GJ/nAijukq4oHwKTe8jmrQxyL0FUSxloHpoS5mbCD66p6ru6bUa65Yuz8B9N+0L9CeF8eyHdVzJD5FZdaDf6R6ofWn/0EQPHY/1YB8CPIJeFHHYz7XBb0m/wASI2BZwjf8j0GgSBPdD3Wu4vtRu/D7pGmK/RFHyTu8h/e5pbdpZTCRYxrpKSJMnhlXTLi3KnvNBoP7K3+d1iH1b/b2s7P3uf4P8bsYy67uuZ8qXBiZ9qd5VWwR/hfR8hHvCisvP60knutdO45TlE/MgPd37y87VPgnd/GZoH9tULB4XwTqIpSx3on4b802/41I8hvhbl54b/2eSW5MQ48RrjP251wSur2TiYozDd/qgJvisuOqCHo7RswrXaoyr38n8Gm6RB/WK6aTl1nUWz9F3PQdgZa99VVs9i5EfYnx6n6uKxzUXQ1MLa6zqSXP2F/62x2MMz5bKK/Ikj6pjeJ4hTpP7bSyrv5uACZiACZjAsBCwYD0sLeFymIAJmIAJmIAJmIAJnFQEJkOwBhgDhvng1E+/W/BjvUT2MdiIeIDFhga9NACOe07tKyyNR0YKcSAXgIPVsqz+iBMtQCSI5Pl95e8z8sZVIoN8ceCd47lF5fE0scBW/nGAWIPsccBQ+zgfsUdr2SLYS/xi4JK6EhDAlTbirsSg3HL1uEjP8ZgH8RBD2I91cJNQ5PGrH2Tr7rm19hMHG7ccF6wVH4seLEaxdiREUY36YhEoMXD7G6Nu3Dc+el9RTAbdY1swUUGhLj2dk24pr8qHhSL9hYAL6ChyqS04FgePsdrUQPaBtauKgW9ZGHI+FvDKgz4osRkLXZVZ5yOa6lzWaYyTJrDw07FotSvRQgPVeQWO/+knWCMoFG7yR0YyrJWUB/1agbTZLyFK+7e++HRxfrQsx0WtRLJcADreZ6NgTXoIOblocNx1ftv04jXApAC5xGfd+ujpIBUkVf645XpQ3be99mJxCFFJ+9mqj0rgYl9bwZo4cKm6j+j+Nci9ZcWVo4IKlqq59fDISLbpyYd76iHhs6ho8qWH7S/OLFwX04aagFHcj0ZGsg++/aU8fcRX2l+B+6iumVzoPX4gCtZd+2G8J6RccXWv9osWylyHWgu1qAdlGxnp6btwICDARS8Juj7augTnmpYwxH1P923yjaJhXN9VghD14J5DiCJznCDT9p7Wqp2DkNZEsKacXBviH+/XsW+rvw9y/2v7u5nDK/mj6zm/X4XjXO8qP1v6Cs8N/F6oX7Of5xC5nM4nExy/HhRXHkf0P7/DCoPkEfsdafJbwm+97rvKR4LeIII1Ynd636D/sU/XhX7DyC/+Buk3Q+Vgkgi/W2tvv6GHG8fxFKCQisdcK2tuvjpD2FZabPNrVpFqtjFO+p3fnlSAZhIKv9OaDKI43K8I6ifaHyfy6ZlUx+QSvG0e5KM0yrbb33glbwPdRzgHvrSLllVJ+wFW0ty/6N8xTd3H+P2O+2kH7qtpOpwzqGDNMx7xP/rRt3pajHsgaaYTMjmp6pjuFbO/+LfFddeTqP8xARMwARMwgSEnYMF6yBvIxTMBEzABEzABEzABE5iaBCZLsMaymoEuBikl+EmkYCAuDyMjhWAoV5jRlS8DjQTckWJJySddRxFxR4N2iD0Kyotj6RrZceB97Z+uU5Riq0HF6LpQg+xRTNY+6igrYyVCfVQuhBMCcdnHgDF1ioFBPp0f8+AcWXnJ+ifGK/uudJpsEVYUomCNa+80aKCb+qaCn8SvdGCUNGh/xZXlGvu1ryy9NG/9L1fk5Kd+pWMISBrcZcBcgfRhwSSKNEj0JD0FDfhKONB+tkxiIC3SJD8Jxrn4cWTsOtAqL31XoYtgLes7pYXQqHaO4p7Eh1SwFp+0j5EeIr/SYqCaEAVrXI+moW16kVe6LifrqSr/foI11qk6t8xVqurPOeMlWNfdRyTgtb23INSrHnGCjDhH4aSfYK37C30zPTdODqKM9BXlKwFEebLd/Myfi+MSaKNg3bUf1t2fcV3N9VJ2/UWrcE08wWuG6sLvRwxMZJGgJr5ROIznVn0vYxHPxVU/+aeuxXXf5pjuG3yP90DS0T2i6T2tTTuTvthMhGAdr+cyN+2qW7z/tf3djKzjdwmR3INi4HdSdWbL+r4KWDzHY/GZIV678Ry+04e4VhUGySNOyOEajespqw8pX/rtIIK1yqd02EarcI7rd5djEqyjVxz2IwLHyVcI1DFNyqug64vjfI/rYquvKm7PGtRKINnqXG0RbXUPgov2s11y7i96YuvZjWPxN53+p3iLfvlvRRz1z/z8f/lqvn/QPJS+trHcyjC6745LAnDPUzy2CNkKEnp1XCJx9J6R96dNGxRlzNIs6XOZJtTAqy5oQujyy86rO63xsblf/Ye8ngfXrWkcxyeagAmYgAmYwLAQsGA9LC3hcpiACZiACZiACZiACZxUBKJgvWPXnqzpZ8/e/a04IO5ogE2WzxrY3PLCU0VaGjCUQCUrNAbg4oBpEQELsIMHMyxhcDHI4L/yiYPPEkQYnE1DHJiWRU08hzUQSVOWcRzTIHsU+rQvHTTl/P0rRtfFlGWT3NGmgoXyZiCVfGMeHJM7SQkuOr9qKx64ooZv3QcrY4UoWMfBdB3XQLfaSvuxUlOesQ10nK0sI7EqUqhKT8fLthp4RjDA8jv9aA3PKE7TlyhfHARW2hqQVT+hz6kuWKengb6HlRcfBAW1qQaR0/OjBSYD4YRBBWuun7Kg+sXrSoJtFKwRC1Q3BOmUHf9LgNZEjihYp+uQD5Ke1sBmHdeywLVEGdM+lp4bRUcJl/EcrmvVdTwEa/WPmEe8j5QJ1k3uLXGCjkSZmEe0Nk5F6Hge39UX6V9lgbRy6/g9u3OrSfhEUSfGQeQTP619LMG6az8kn7r7cywH35nwA2uE6egaXO2OBajKOmYSSz4RY1Veb/WD2HfSvMr+X37puXn68C27Znqu8aOjk1YQAXW/Uvn4P52ooXOa3tPatDP1Ud4TIVirLG3uf21/N8vahH1VgrXWyKbe3BtpH33ixAGOp15LNNFOzLTF60YMg+SheytpFpP2jifKfRZrX31wLz+ZgnW8z1C+6AFA9ea3RDwQSxX0XJfXK3H7nXq7aCJUKg+28Xec/PavWl6UQfmpbdmqPyoNud3n90z72Oa/xWHCJPtkkT1oHjH9tNxiVSVYRzfapMPSDbFekXEuMo+M9NRHHl+UD88xMc6ggjX9gPIs/OWZSnrgLb9fOaPPfqrwjDNwYo5oAiZgAiZgAieAgAXrEwDdWZqACZiACZiACZiACZz8BKJg/cqMuVmbz+r1mxsDiiImoiCupTWgF93PakBTVlISbaMrWjJFnGBAXyKn0orbKJZKECkTh3uEpuPrL8eKpSI6xzTIHsXksn1KJ7p5lVCiAesyi1Diydo35sF+DbKnllLKK92KSXR9mZ5T9r8EawSUsiD2aTmiZW50xR3T0ESEKHZVpRfjxe+xT6mOVds4oC5BF8ErDbKelCAZ2y32pzSe/lebbn76Ue3q2SIQqowSMOsEa7ngJI6ChEIsv8uCyhAF5TLBuskamSorlr2EKFgf2jK6njHHBklPbcFgfFmQC+d+gjVu5ylr7E8xPQQf1UXXnwQu9qceAogrN/5xnefG95FdO/Ps295btjz3eFFOLPbTEK3O+wnW6gdVkwFi2rLojJaS8ThlET9N9Bivfkg+dVw5Tr/DxX8UXVQebSVY636NS+Amoa1gnYpgyr9sG61LKUu0COd8eQ1ROQe5p7VpZ/JROUsF65uvzo/HiS1tXIKrLG3uf21/N8Uq3ep6pgwxMAlDde63TSeb0R7RSpf40SJX+bTNIy51Qpo8y/QLkylY6zlMvPRbFcvI+uY6zlb3q3iNpp5ZoicH4rQVrNNnIX6TYxn6fdfzCBPz4rlMwtm7cH7PPonbg+YR00/LLY5VgjUTPmL8uu/09+iRh3M3PHSXsii2iOZKZ1DBWr//+TVW8vukzCgP1+PRfXu1a8xWk7M+/Lf/OuaYd5iACZiACZjAVCBgwXoqtJLLaAImYAImYAImYAImMOUILF6+tpVIHQXt5atHXQ42qbgschgURgRi8Cy16IsucRF7JGhFa2IGbmWFRhqcg3tNBN64zmQUGCWIpBZUlDuKSmXClQSQKJqVDbJrn9xqRiZR+JRgprpFYTHGUb7pYKcGk6P77hgv/a5ByoEF6wo3kRKY5b5d+bLOqfKscvmJiMY5UQyvSk/pplvcqCsfBskRGKs+tL+CuJcJNqlgHQexWVuyX1B5sIwrC3HwW4JvnWCtSQOkqyChEOvksiDRKParMsFa1lKkjfhdxY79sjbTgDVx4kQTytE6vSCCRlE41glX7uQVr714XN9Zs5Tz+Eg40TG20a2rrj8JXMQpu+7VH2PZmt5Hyiysy/LQNa76SXjXhIlYB75H/v0Ea/Fgcki/oHsz1sNlIV5rmqAyXv2Q/Oq4xgkw1In+TXm5hyDMqJ4SrFUX1uluEtoK1lGcrLtmEIjSpR6YmKHyso3rXFPWyLnpPU3pNWln8tD5Zfc/tQMMFdoI1kq7zf2v7e+mypVudT3nYlo4GNuL8sG16hN/J0gCbyj6vVDdSF/LeiibtnkU1qXH71lYcvcL/QTreC1Q1ngfVNnZ6vpVfrrPcUzPLqmr9P0rl+n0YstzSUxX+cFW++O9k4hdBWvW0I4h/uaQZ1W7aj/W0gry7kG8VddfXniZ4P947xg0DzFgm5ZbZagUrJPJACp/2ZYJFdGDSJ7fg3cqi2Ib1/QeVLCmjed+7bgb7/WJG++Rkfy5ft7pnyvaf9ZnP5khSKdLRlAoebMZL/fiRUX9xQRMwARMwAQmiYAF60kC7WxMwARMwARMwARMwAROLQJHjhzNEK2xtG7zIQ5x2wQNqDLgq4E6LCjToIE1RBwN+rFmogKD4dq/ffrLPa7CowvnYResNchdZWGttZNTwVpWtwjDTYJYTZZgjVinPKtEXoQezonuijVwngrgdXWUmJAyahKnTLBJBesju0bXUd7wcO9gOXkwwWLzU4/kH6zx1GZV4pEEWOquAf5RwfqKMcWWhXF+/vGj4yUURjf12994dUzeZTuiYJoK1oOkp4knqQcF5S3LXwm62p9uNYkDTlpyIJ6DJR/H+JQL1r1LHEQLyCi6SNDrN/FlUME6TmiI5dd37neqRz/BWmuapu5h87RGRvJ1qem7iHISn6JQozzZ6p5D3giDhPHqh6RVx1VrP9NXmFwUg0RKyiXBeuVVF+aMuDfoGotxuO6pt+5NbQVrLRFR5eEg5hW/xz6oNqSMXFMxtL2ntWln8lHeZfe/+d/7Rn58UMF6kPvfRAvWWn6Cesd6Real30dGiucUMdM2vR8NkofamTRTzwZ4q6Af559rLs7wEEFfVv5sU6vsuBwKx2Pfj/GaCNZxEh9xyyYgRItdnmUUEFWVX7x3cryzYP3IPcom38alCsiz6TMRkTU5iHhcQ1HAjowGzUMM2MYJl7ECeg7mnLiGdZzYUnUfi+nECVmkld7z4zMZxwcWrPEu9Jsf5u27+obR5xWWNdBvNenP+dKnP+b52U993Bc++6mct8rMJJj53/1afqztc6nS8NYETMAETMAETjQBC9YnugWcvwmYgAmYgAmYgAmYgAl0JJAOgjKwxcBsGqKolw9+JWv1yk14FDuVRnS5POyCtYQPxNs0xEHSVIxlsA9xUGsgp3HT/2HIp+3AoKx78zUS00SzrHDHXiYwazC+zB3xyJHRNa5X3zg66DmIYC3hO1pqx6IihFIWWY5xTGUrE2xSwTqeXyaqynWnLGIX//bHOesqd8R4AqAtonW0+gFxe8LISL5mp9pPx8ZLKIxusstc5WPtSb3gpWupTrAeJD1dy+QRBRbqyiC42ioViMRC27jmapk127q7b8m5w1KCdRTY44QY0sQiTNyj6FInrMb726CCdSzTrllvq3rFNooC/QRr9asytlEYh0cUb1I31mS+9s4bCx5Hji+bMF79kPTruBbtUGIprqUFOEeCtSz32JdOXsDNr9KTB4K2gvWaW68t0ihbZ5wJSDCP93WsY3WvQtDbu2DU/XC+vm1wr6vzmt7T2rQzrHVNbXzs/qJf8YX+pGNR2G1jYT3Q/e/sH+U84z1aBSvzTKJj6VaTF1IL63S94mgtTPq4eKcN+ERhNoqG6jNxG38/BskjCqRwl8cN6qVJTOTHMd0b1T7sp9zaz6STKBRzXMdIL5ab37gY9LvLOWoDJuzEvBCkWa9dARfaMc0otsZyxHsnccdbsI7PEpSH+0gMtIvaNn1ejPeCWBfqTZ9XGDSPmGYTwRpvGwrx94d0tjz/pA5llIdrXvXSM5Qmf3E+dYj9id/EWJ4ugnXudQYh+rOfLJ7f9XuC9TVtzMRRAr/ha2+/Ps979uc+lR07dDDfT5kpz/x/+Wp+TlE5fzEBEzABEzCBKUTAgvUUaiwX1QRMwARMwARMwARMwARKCYyM9AyCMqiGVWoatLadBtiWnvfLnlNkeU38OIjKuoRx0I6BM4U6QSQKTXGgUnFTt73sl1VYFJO1T4O+is+2bOBdg3zUMw7sIgrGesQ8SAvrQCxvy4TimKe+iyNuLxHE+n0khHcRrGUZTBvRnjHImpNyMdCuoIHzpvUiXrSsTeMh0KvuWIgqUCb2R8FBx8oEa9y1Kp1Yl+guXGs873zvzeLcdB3Jba+9WByLZZXoRrm0xiZiA+t/Kl+2CoMIhZoEkq/lHcQxWeWRdxRy6AOsGaz85QK3TrCmfG3Ti2Ihbr0VEPiUFmXoJ1jDSwIQ186hjeuVVC5aqs1JS4J1dLEbrzEG+hG9VPd4bTa9jwwqWFMPeZigrYqyHjlSLKOgcvUTrON9NNYBSUF7swAAIABJREFUkVXeHfL+cNxTgBghhiCKKOBuViJUtCwfz35Yx1X3BSZ7xBDvnzBRH43CK/dk1YXfimWXnFO0q9aojdbjVUsYxHyjpfSKKy/oEQax2hZHrjkFXeOUU6IoIpbaMt4r2t7T2rQz5ZEYyvWi3zsESkRqlScK1tF6E1fRCvF3U/19kPtf299N5Z9uqwTr+NtL/ejLWO3Tl9WvVW9NcIj3OY5xT2FSi87L0wmuwQfJIy5fQnr0c8qka1N5rbz2kqKq6frpWMQv+d1Px9SDuFWCNenzm6Z7i64v4sRnl3X33NpTXxgwQUvXqsrHFl4KkWm873B8vAVr0oRZLAtCLtbnbOP+1OqYuHiUiOfwnd+9NAySR0y3UrD+6XeL/OHGcxPr3HPPkrcCpUM7r77pqjFrqivt+LxDHNLjN1STwpQOW665GFhehv1VkxPjuXzXBKYPvv3lfBkD7h/kH393Y5xdc9/Ltk9/Jd+VT3b47CezWZ/9VLZn/sfeOuK5/m4CJmACJmAC/z97d/5sRZXne/+PuBH3lxvx3Cf6l457n+i4HR3d90Z1VNfTFe1T1TV5bausKi2vZatVZWtp4TyiKCiDzIKgCAoiDiCICAKiOICCyqiAgAyHeZ45R45w1hOf1G/y3bkz95C5z7jfK+KQ++xca+XKV+bZ7MxvrrV6iwAB695ypGgnAggggAACCCCAAAIVBHTTzW6cpd1AVFEFse2mv/ImewT5QIVuyqkeC/Iov5XVjVmbI9RusurGYzL5G+92A9/n6ayAtbahtpuHgmQ+UG3v+2CaylhgLhnI9232r62eWpcKaCsVCVirt6O/ca0giYKO/iasbs76ZDfOfTDXr8967W/i6ya1jrUZaZ+Tw63a+VFrwFq9hPxx0Tb8fmg//fDYPvCjduim8YZbr42Pc9Tz0gWN/agAaq+CENZGf8xs//MECn2gQPuiHrVK6k3rj5N6kcvLjoW2b39Dyu8DOX6frW311qdyPmigv1md17px7ve9asA6hOjmt5WRn27Ua3/sPVtaoCbatgvSycUfV8vvgy61fo5YAC/PZ4vvfas2pLVJ71cLWGv//FDFsvV/K6rDzy2q/bR9loUCNzK0c1HniX/ApJHnYSVXG8VAbdN5oWCL/T36c1fn0ekv1kanog/e6HPVn2Oqx88ZrB7jtt+qT22plvY8f/EhFgX9VcYCwdZOfW4otW7fGtcvzzh1dJR8LvgHRvxxquUzLe9x1v7aMOBmoKUPWKu9Onf0vs6FbwPdrdHw7FbGznflrffzr7MD1mqTPx+szcmljmmUNLJFv+vjY6Z89vCbHvry5fy5Utc29D3nwoXY1dfpX+tv30Y0UNuOfbCkZPs+b/K1D1gn90d57f8//1nvA9YKQtpxT9btf09Of+H/Jv1nZ9T+5UtL2q+HP6olvy0Lzvoyyf+ffX57rc8A3+PYyvuHQyyvf7jN8uXZhtWnZVq7Vbd/GM7y2zHw/3fYuuRSQ4rrPFJSr+ZajpfqKBqw1kMs9p3m8xt+HU6u/sSoMpf6Xr/vpefi/0+SQ9pnFmQFAggggAACPVSAgHUPPTA0CwEEEEAAAQQQQACBegQOzpsV37DUkJtZyQdy03ptWA8PfwNPgQP1etVNSAuy2FCV1is7LWDte05VClhvH/5o3Fwb+lTBFEv2nt1wtPe19D2wfC8+3WTUDV/fo1PBGPW4s0B5MrBrAYbOCli37d4ZNd16gGX1urEb3VkBZu2nDYHtj5Ne6+Z+MlWrL5nffteNdfVwTm5DvyvYr/U+2blhN+z9OuthrWPgkwIyyaCX6lc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iY8L//d/+X8l+89/99/+m41b8o48+bmif1jo8/cxzQSFHlWIW+rnphHLx4qXkvKZMWNzq9t4368Ea+1tuu7PuIr74Yl86z3/+7vfrTt/IBFNpoWV/7evfTNdN+8d3vndVI81v27RT6dK2laLiaScwMjKS/C4bHm4s1NX0dhzz05//suNcnlx7PPzDozuSr6c/qn/tp+NWoIMb9MSH47Y9Zxq7Ge2bj+9Mt0uj83YwCU1DAAEEEEAAgSkQ6MrAenh4JMya+1TSO3rL57sK2UZHL4TBoeKDdNWhZ1urzuGRkcL6sj5sNLC2EwDdRd9o6bTAWj3GbX1+ePVPGl2dpqbPCqx/8KN/rltnuwLrqbSou9JMgAACCCCAAAItFyCwbjnptKiw3jGhhbTTIbC284Af/+TnlbadWaieTij/ev2N6bnNzl27J7VJcWAtk8+37yhsQzsD66m0UM9O27f0qp+V/3LNbwotJuvDqXSZrHVkOd0vYL9bG/07Q2Dd/du+6hoQWFeVYz4EEEAAAQQQaKVAVwbWr7+1KgmYV72XPezZwOBQWLzs7TB7/rPhhjseSqa99f654dU3V4X+s+cy/VavWZdMt2jp6szPi970gfWjjz0RNnzyac2Xhmd76ulnw69/+7uaE+9/9+//KugO7UbKxk2bw1U/uDr5evud9xqZtS3TqkezXUwoExa3shFZgbXasnr1O4WLaVdgPZUWhSvMhwgggAACCCDQFgH1olWwkvXlj/vUUzBrGr1XZnSYtjSeStsmUO+YsGqQ0LYGu4p9D+v/4//8DzXnNHaOs+TNpUHh6n/4q/8nPQ/QMbhurG203HjTLcl5Taf05PNh5I6dxTdGN7qu9abPCqz/6v/+23D5cv7QrJMVWE+2xZMLnk73rd/feHM9ukn9fCr3kUldURbW1QJV/84QWHf1Zm+q8QTWTfExMwIIIIAAAgi0SKDrAuuTp3uTIbwfevTZMHblygSGYydOhXvnPJGEz+o1HX/dfM8fg6aJy5UrV5KAW0OMnzzd2NDgPrBet259XHXN/995d0168q0LOwqgu7nUuyDXznXLC6z/x//5fw26gJxXCKzzZHgfAQQQQAABBFoloGGS7aa+TukZ2Kp1o55igXrHx1WDhOKltuZTH1jrHKeoKNjQo45sP9f33V6mMozMCqxlqxuf88p0Daz/+Mi8dL96Y8lbeas/Je9P5T4yJSvMQrtSoOrfGQLrrtzcLWk0gXVLGKkEAQQQQAABBJoU6LrA+pUlK5MQeueefRNWfWh4JCiQVkh9z8NPhM3bdoa+M/3hTP+58PnOveHeOU8mn933xwVhYtQdwq69+5PPX12yckLdRW80Elirnv/4919PT8DrPbdQwaues/zpxk1FTWjZZzpB2bv3i/Dn9z8I69d/nDxre3Q0//k19S7IxQ3TjQGHDh1Ogvr+/rPxxw393wfWGupKQbVdMLv19vxnvpUNrNXWw19+GXSTgXqz6/uxsbHcNk6lRW6j+AABBBBAAAEEpkSgSmDd29cXNDLPqtVvh1279zQ8Ek/Riuo4RceT6tWtocxPnZp4A2fR/EeOHE3mXblqddBjbXTMWKZUna/qMaPatXvPnuTYbf3HG0Jvb2+ZZibrU2W+rMrrHRPmBQkHDx4K73/wYTh5srFtoxGb1ANW2/XChQtZTSr9XiOBtSr9cO269Pj73/wP/1PhcuzYWvOcPn26cNpWfdjoft9oGKlnXctdP69F5wll1scH1urdbuc1Os/RemSVRgLrRn+/TKWFD6zLjCrWzHZo9z6Std0aeU+/w3Rerm2dV5pZ/7w62/m+nnmvnxn9PVm77qNJ+31Qdp00qsGBAweTtunRAHoedFz0u3bzlq3J30OtT7tLo3/b8v7O1GunlmO/e/zIF7p2o2tEH2/4JJzNGbUwr+5W7p+tfIb15bErYf+pkfDB3rNh46GB0DfY2HYcvjAWDpweCacHLoaMvjR5HMn7uh55/OyFcKh3NIxczL/GVFSJ2rv96GA4fq7xv/tnhy+Fw32jQQZWJjOw1mJlt61nMAyO5o8iYm3jFQEEEEAAAQRmjkBXBda6yHH7rHnh7tmP526hNWs3hGdeWhw0LHhcFFxbj+vTfWfij5P/3/Pw4+GOBx4NWlbZ0mhgfe2vr0tPAnRhwspDs/+Yvq8LVS8sfCn9v10AUniq7/VlYbev7/Y777bqJrye6e9P69OFDwW+VnSifv3vb0o/t5MUvWpaDcWm5/FZ8XX5ae17X7fmUf0aMlx12TR61VCCMmh0aHTV6QNrhdW6mOHrzntGeL3AWheb5vxx7oS2qm61X9vF7x+TZaEbB7Sv2ZeWS0EAAQQQQACBzhRoJLDWMYy/8c4fz9x0822FI8fUW3v1ToyHbrb6//pv/i5oeOeiovl13Gnz2KuOiR6cPSc3uK46X9VjxoGBgeSY0trnX9X+vF6aVefLMit7TOiDhHPnzoff/usNE7a/2vzKq69nLSZ9TyM1/e1/+tqEbaMh6OvNm1YSfdNoYK3t5a0tMNerva9hv48dOx6+8a3vpO/Zecw/fuPbyf4lExXd2Grz6bXvTPY5m6a96+770mnnzptfsyaN7ve33XFXWpdfvr6f/fAjNXXrP2q/bUebXj8TenSTbjauUnxgrfo1HLjV/cOrf5JZZZnAutHfL1Np8cSTT2X+vtHPwzW/+u0Eg2a2Qzv2kdcXLU632cuvvDahvXpDwZ9t15//yzU109jPiB4dpnM//ezYtL/45bU10+o/zaz/hMrqvOFHU9B65hX9TbE26+fBl/Pnzwets33uX/XzpJuMsop/xIaC5KzirwXofL1sUWhu7Vi0eEly01DWz7Ztz54jR4J+b9k89qqf0fhGLt3wbp8XjbSiv8WaTvt5XBr9G+V/b9iy7TXP1y8zDqx1M1TWMYTeU5hfVNqxf7YisB4YvRxuW3Y4/MOjOyZ8ff/p3WHrlwNFqxXe3dUffvDsnpp5v7tgV3hrW1/Ye3I4+UyfZ9WjoFjL/qfHdtbMf/Nbh5Lg+b7VPcn8f3jrUGYbLl6+Eh5ZczR88/Ha+b/95K5w14ovQ+/A+DW+uAKbV+to6652XLfoQFi//1xoR2DdP3QpXdaCtceD1v/GJQfT96wdVz2zJwnf4zbzfwQQQAABBBCYeQJdFVgf7jmWBM6LlxU/ozhvM46MjIab7p6T1HHkWPZd6m8sfyf5XMsqWxoNrL9/1Q/TE5eFL/4pXcy99z2Qvu9PTv3Ji54NZycc8x9/Mpl3xcpV6Xu62OnD1LTyv5zQ2rw//snP048U/Bad2Ng8OnGzXirqFWHvZ736Xtm6EzcOquN5dNLXaI/rOLDWCv3oxz9L26UTv6xnvhUF1mqDPxmP22n/V3vtTuvJstDJqi1fr7rwR0EAAQQQQACBzhQoE1jrJrmicMj+7v8v/9u/LexdlyfgjxGtrqxXPS82LjqG8j0ss+bTe3HgUnU+Lb/qMaN6tymkzWujva/w35eq8/k6/Pdljwl9GFLvGPzV1xb5RSTf61h/3vzH667vLbfdmXksPKFC90ajgbV6F5uvD1t0nGzvf+/7Pwjah+3/elWQoeItrBkK62xaC4nsM3vVz46WZ9Pt2bvXPgpV9nvdnGt1xa/33v9AWrdGv1Kvw3ia+P95N0ikFWV84wNr3XCgm299vQrk4lIUWFf9/TKVFt7Ar7u+/873rkpXv9nt0K59RPu1tfu5F15M2+u/0U0YNo1u6PbFbkDROb2/ZqDpfWDd7Pr7ZZb9XjcTWLv1M51XtE42nQ+OFXzGvwdsOv+qG1Hi4kNujQaXVfw2LRpGP57XX1/RPubbEn//+BPZN1TYdP/5u98Pvre1wnX7zF9/idtgv/N0zcSXKn+j/OgMtmx71Qgu9YoPrOtdw1G98otLO/fPZgPrfaeGg8JlC0rzXue/P/F6oHoFKyzOm0fv//PCvenn6rnti8JsBct58+szC6IVeMflSP9o+NHz4/Vn1aM6tI5xUUh/7Sv7c5etunzbes7kj7IY163/W7tVj59XAbq187evHyi0V3i+89jEjkdZy+M9BBBAAAEEEJi+Al0VWG/cuj0Jkzd9tqPSFlnxzgfJ/Hc+OD9zSHBVqrrVC1vLKlsaCaw/374jPWnRAb4f6tsH1nZSoZMEnfjYBTZ/QmWBtXow+JOJLVs+y2y63bGtujUcpBXfO0EnOKtXvxP27z+QDPGnHgW+x4/1XlCPaF2IWfDUM+n66C5bvac26gKJioaBtHXRq9ZFn2soQNXlT1p1opYXtltb/WtWYK2e6d7imWef97Mk3xcF1urhYu1VPbrQoAtxGvpKva7tM71qe6lMlgWB9YRNyRsIIIAAAgh0rECZwFrHTf7Y4v4HHkqOOXTs8exzL9SEeXqkjB1flVlp9Xz1x0Q6btm69bNkuGyFYXHo5i+yq34Fpb5tCrEUmOnYVe30ny1bviJtUtX5mjlm9NY6nlRopADzs8+2hUfmPlrT1g2ffJq2tep8aQXRN2WPCX1IK0dtJ/VWV2CvHn7+8UH6TMe8vixdtqJmnXSjq0Zh0jH8PffOqvnspj/c6met+32jgbU/rvbPsPaBtd9XdL6geWw7eAtrnM5xbB4fUtrnetX8No1uUrVSdb9XOKyfR39ep/Mgvaeh4q34MFfbRucz69atD4sWvxF+ec2v0zapbQrQGik+rLUe8v48TedkcQ/OosC66u+XqbTQz63ard6qtn3vvuf+5D3bZ2TazHZo5z7SqsDa1l2vOl9WCPz8wvEAvJn1b2Sf9NPGoylkDQutoZ992+2GdP198UGqfmbtZ0t/V+KR3vRoBF8mK7C2tutmAf0u1t8zC5PtM73qZpm5jz4W1NNcPaf9Z/r7baXZwLrK3yj9HZGt//uv/+tLjwWoV3xgbeulfVDXRTQ0vW5C8NtSy9FIIb60c/9sJrDW8NfqyWsBqsLlt3f2J0NTr9t3Ljzwdk/6mabZcKB2vZZv76v5/HeLDoRFm0+HN7b0ZobBPrC+NHalJqxVaK7we/WOM0nP5rjHdRxYq+2+V7d6SS/d1hc2Hx4Iizf3hl+8tK+mbfEw4XGvZi17ze7+pP1ZIbgPnf22zfu+TGBt7lrXlzeeCjLXq5/3V6/uz1sE7yOAAAIIIIDADBHoqsD6z+s+ScLkvfuyh8fJ22Z6trWGCbfhwD9YvzFv0qC6NZ2WVbb4Cxs6EdDQ2f5L4a9OXnVh0J84qEeFv/AYB9Y6+YkvSmQF1mqnP8m74857JjRdzym0Ew6dYPmLkj6Qzjrx9D0n4rvA/Ylr/Jka4S+GqgdRHEirl7APrRUMly1ZgbXm1UmUrau8/VDm+txfWPND9ulubT9f1nPCdEHKptGrv8O73Ra6CKoLxLqYpS/duUxBAAEEEEAAgc4U8Beas4YC1Q2H/hjsraXLJ6yIji38NDqeLFsUeNkxi0LMrOJ78Kn3mxWFjX656s0bl4fnjN/IZ+tXdT7V3cwxow+3/M2g1uY/vfxqpkXV+azevNd6x4Q+pNWxajxqjhz9NH6dNIqRP3ZWSB2X+Hi1kWNGH1jrXMWf0+h7rZueOavzlrh3uG9LHFjr/EN1x8Wvp32m5di+q1cLvexzvfrRqHxP1mb2e9XrRxXwPxP6TGGqtUvbTcP9xsU/e1kjMjVSsgJrnQv67a3zKV/yAutW/H6ZSgvvqJDMl2a3Qzv3kVYH1ro5PD5/bnb9vWWj3/uRyHSTRlz8cOD+2oBGlbOfHfUi143YcfF/U7TP+xHbJjOwfuChh2uaFo+cob+N8e8k/2g3/b2x0mxg3czfKPvdqt9VjZQ4sNa1Lt2I4IvW3w8T7o8x2r1/NhNYv7m1Nw11f/riF5nPTn52/Yl0GoXKo5e+6ogxenGspgeygmpf9EBB9cq2UFavPrDW9PaZ6lWPZ18UEPvgNg6sfdt/+fK+MBw991rDfStAt2U889H4iJJ6VrS9r7B4x9Ha60hax+sX1w7T3a7AWjcJ6JnfvqhXtbVPr/652n46vkcAAQQQQACBmSHQVYH18r/0kO45On7wVW8z6bnVD8x7Ogmhb7rr4fDJ5m2Fs6huBdZaVtniA2s7ESvzqufO+eIDa93J60Nlmy4vsN68ZWt6EqgTvLiop7G1SXepW9EJsC42aXm6Ezar+JOW+MJL0QU5fwFFJ0xx7xBbln/Wl13wtM+KXvMCa90E4HumaJhwX/ICa/9sLPXGySv+4o2/gDuVFnlt5X0EEEAAAQQQmBqBeoG1LvbbsZnvmRq3VjdD2nR5vU3jefR/XTTX8Z2+fA9RP62OCa1u33vR95JWuBAHJqrDD2urC/gqVedr9pjRXzjPCkV1sf3W2+9MvpavWJkSVJ0vrSDnm6JjQs1iQYLs/ZC5vrrb77w73Ta+p66/MfPaX1/nZ6n5Xp/ZtrXeujUT5PzHB9Y2f5nXeIjgOLBWr/Cs4i385xqVyZYbPy9X50h+OHAfHjWz32v5/jg/Dqz9TRVxm3zb/c0eWaG2n9Z/nxVY63MN42sWevXt8j87MrPSit8vU2lRFFg3ux3auY+0MrDOOzdvdv1tH6ny6s/bdcNTXHzA6n/X+psu4msgvg7/+8CPGjdZgbXamXXNQn9H7WdQf+fiomdD2+d+VItmA+tm/kaZZbOBdd7xg39muNpppd37ZzOBtR8KfPvR2hDe2q9X/4xnG6J6xfYzaaiqcDerKDT2w2r7wNq/v+fExCG7VZ8PpX1grTDch9l5YbJ6VVvwq3W9ohlDCHev/DJ9/6l12Y+V8/OqjrxlfFXjxH/z2ueHBFe9GhY9q/j59dxrCgIIIIAAAgjMXIGuCqyr9LB+/a3VSQB93x+fDMdP1t4FmbXZm+1hbScqRa8aQklDrcXFB9bPPb8w/jj5f15grQ/tpETL9kNR6TMf4OrCRpmioFonKHrekq1PI4G1b2vWs6isDb4XRVbYbtPFr3mBtabzF2/Udg2TaCUvsNbQZLae6pGeV/yFCIXcVoouTrbbwtrAKwIIIIAAAgh0hkC9wNqHxXlhntbEX/Bu5DgpT0Hhs45zFGj50M8H1r5tCk7zio431dvW5q06X7PHSf6mQx3LabQhhXpZQbtfl6rz+Tqyvi86JtT0/pj90OHDWVWERx97Ij0u9c9x/t0NN6bv+0f8xJX4no6/ue76+OPc/1cJrBW0aiQgX3xgXRSYeAs/v79RIw7G9GghO2ZXOFKmlNnvVU9RSOvbGvc49G3wdWhY4bIlL7DW/Hp+sa2zbiLRs+JV/DmPD6z9z2LV3y9+PXxIruW226IosG7Xsluxj/jzRN/zP9lYf/nH3+zjeyHrY3uGtba1eqpmlXatf9ay4vfiR1T5ntIaycH2Uf3MWw9pf/O7roMUFR9M+x7c/n0/wpmvqxXPsM67CchfS8kKcP2IdP53kv/7XeUZ1s38jbL9pOj3r/ez7/320v6YV9RJQHXbNrfpbLl6vx2/J6sG1iMXx9LQVsOCF5Xblh1Op9WQ3SqPfzjee/rD6NnUvi4FwhYaW2Dtl+2DaD+fvlfgbfP66Xzoqx7KRcWH7SfPf9WT2Q+D3j9c+7fa1+V7aLcjsPbr5Jer7/V8a1t3PaubggACCCCAAAIzV6CrAutGn2GtGwrveuixJLDeVPKZ1M0+w1oXEzQkVPylk25dONLJfnxBx3Y/H1hrKL+s4i/o2TOsbTr/jGXVZeXo0WPpiUTeSYd6KuiO6Wt+9dvkRNlfwLSTEL02Elj7obF0MqOe3HlffhnW7nqvRYG15p314Ox0vdXTQSdfKnmBtZ1wad2Lij8h1cmrlaKLk+22sDbwigACCCCAAAKdIVAvsPY90XRRO6/oorA/TrIQIG/6+H3Vfe/9DwT1zvYXkn2d+t5CZ82v0Wnscx8axHXH/686X7PHSTq+tuM4a7de9Z7CA4WfvheutbvqfDZ/3mvRMaHm8dshqzefptFQwLYufohZHYvb+7qBIe/Y2vfyjXs/57Vb7/vAWsfE8TmN/V/7t25WyLvJ0wfWGo0qr3gLP42O2/02PX9+/FmiCuDNQM9rzSpV9nvVkxfS6lzJlqnXPHe979v9+BNPZTUv872iwFrPnvX12s3NeYF1K36/TKVFXmDdyu3Q6n1EG7WVgXXWNYNWrn/mTljiTd+DVr9breixFvYz4m/q3rV7T/q+gueiop8Xq0M/D1YmK7B+cPYcW2TNqx9Rr94j1FoZWDfzN8p+t+r3RiPFB9b1tpe/wUK/oyZj/6waWO8/NT4stgLpoqLnKlt4quWp/OGtQ+l78fOhfV3+OdcWWPshudXbuahYT2wf7m79ciBdttp19fN7c7+s3XrddXwojF0J6bwaDryozHnvaDptOwLra1/Jfz71zc630WUXrROfIYAAAggggED3CXRVYH2451gSPr+xfOKz2rLoL4+NJc+u1vOr7S70rOn8e4uXvZMsQ8sqW/wJTF7QXKYuH1j7Z9X5eYsC654jR9ITPN8Dx5/46flRcdHFJjuhsRNE/+rD60YCaw3v7esp+33cvrz/1wus9ew2v172bO+swFonntY+XWgqKjoZs2k1PJiVoouT7bawNvCKAAIIIIAAAp0hUC+w9kN9FvVC0tqoV5ode6h3Xpmii86+N67Nn/fqA2vftqxRgfKWX3W+Vhwn7dy1O/hhpLPWUwGcLqj7UnU+X0f8fdExoaa149OiICEvsPZBdNY6Zr33jW99J25i7v99YF0UNOdW8JcPfGBdtHyzULvj4nsXWjCm438LbnWOEp/jNbPfa/l5Ia16wmfZ1ntPNxSXLUWBterwQ+7L4OTJU7k9rP3PYtXfL1NpkRdYt2I7tGsfv+EvPAAAIABJREFU0TYqE1hru9l+U9TDOmu/acX6Z9XbyHsauSyr/f6GJf/ccT3b3qYvGrFDbdAw4jatH1q7TGDtr5M89fSzpVfJz2c3gsQz++s9WT9P/ob2KoG1/R7M+ptQ9W9UUZ3x+vn/+8A6b1h6m143wtn20uMPJmP/rBpYr/3iXBrGPvp+8bW+9/ecTad9+N0jyeoqJLYwOH7+tHno9d1d/el0Fliv3z++7EfWHPWTT/jeekj7wNqH4NaGMq/bjgyGU+cvpu1R3UXl+Y9PptM2Ghr7Ib39vL53uEL/vEJgnSfD+wgggAACCMw8ga4KrDVM1x0PPBruefjxtm2pu2c/niyj3hCCvgH+BGYqA2u1yfe60B25Kgpg7UTi3Lnx3gn6LOukQifOCrlXrX47HDp0OBnOy+ZvJLC+8aZb0uVanaq36EsXd8uWeoG16tHFV2u7XnXClxVY+4tqOrkrKhqGzOr0QxQWXZxst0VRe/kMAQQQQAABBCZfoF5g7YcYzeulaq22gE7HH2WLD/s0n0JvPcdZzzPWjZG66O4DMh9Y+15TecOvZrWj6nytPE46cuRo8lxoDb/q3ezYTcvKKlXny6qr6JhQ05cJEvICa3/zgoZ9Ljquts90TF+2dFJg/fGGT9Jjbgv2fFjmR5Sy9Wtmv1cdeSFtb29v2hbtS2Zb71VBVtnifx6znjuu81OF/7Yvax/P62Hdit8vU2mRF1i3Yju0ax/Rdi4TWPttZvu17SP+d6i9519bsf6+virfq+e3/92qvyV+OHDdVKORQaz4Ifyv//1N9nbmq4ZRt/37iSfHRycoE1g/v3B83sqB9QsvZrbLX+9pR2BtnnrNK43+jSrzdyZrWT6w9o8ZyJrWX2fStZnJ2D+rBtafHjqfhrEPvN2TtTrpe29s6U2nfWXjV4+KU+9gC4kVwuaVFzaMh74WWCs4tnlnFSz78lj2kOBrdo8H6Aqy1QO8zFff4KVwfuRyumz13i4qCtOtnT50LprHPiOwNgleEUAAAQQQQKBZga4KrLWyry5ZmfSA3rU3fzgZQxkYHEp7WOv7emXnnn1J3VpGI8WfwEx1YO3vvL//gYfCwYOH0pO+rCGd1OvYTgq/9e3vpcNm+/X3z5huJLDWiaLVPXfefF9lS74vE1hrQb/91xvSdugigH8m96bNW9K2+B4rcW+NdKIQwrLlK9L6br71jvSjoouT7bZIG8E3CCCAAAIIINARAvUCaz2GxY6Ttmz5LLfN/gKwH9kld4YQgm5QtLr1qpAvq/hAygfWvsdz3pDLqk8BweyHHwnz5n91M2nV+dp1nKTQRIGhb5cCAR+mZLlUnc/qKjom1DRlgoS8wFoBl21bfxxry272tZMCa20Hf3yuUMw/yzkeSr/Z/V52/mfCbv41UwuV5F90rmDTN/paL7BWfbqZ2La/Xv2zzn241IrfL1NpkRdYy6CZ7dDufcQH1s8+90LmLuBvumg0sG52/TMbVOFNf5ORhgLXc9Jtv9SNNL582dOTfqYeuUXF1+tvtPGBddYzpFWnem9bGzoxsFYP9Kzi98miwNrPW+ZvVJm/M75O+94H1vr9m1f0O9B+Fv109p62RTt+T1YNrI+fvZCGsXpeclGZ/c6RdFp7XvX9q3vS93Yey7+26IcOt8D69MB4L+eiZfuhw30P632nhtNl/+a1+tdB43XTUOAWROs52XnlxiUH0+kIrPOUeB8BBBBAAAEE2i3QdYH1ydN94fd3PBRmz382jF3JP9gS3EefbEkC6OtvfzD5vghTdT306LNJ3VpGI6WTAmvd8WsnajpJ8Sf7H3y4dsJq+aETdYEqq2gIPquzkcBaFzjz5vPL0V3mGtJPX7oIVbaUDaw13Lcf1tzapFd/oc/3WNDQZXnFD3f2wsKX0smKLk622yJtBN8ggAACCCCAQEcI1AusNVSwHZOo53NeUehh0/mhRvOm1/vrP96QzqPj1LyiR8hY3T6w9m1TaJVVNFS4zWuPU6k6XzPHSeoBbseRCvzyij9eV0+1qvPl1e/fLzom1HRlgoS8wFphkLnrZoG8oh665qJei2VLJwXWavOsB2en66t1snXXTahxaXa/V31FIe1f/83fpcv3Py9xO9SD1+zj0Due1v+/TGCt6XUjsDn4Vx9Y+5/Fqr9fptLCn8P64aW1/s1sh3bvI/68Oc/dP6qhSmDdzPr7/a2Z7zdv2Zrug7oZ3N8QHgfK8XONdRNWVtF0/pxd1wis+H0x6zxdwagffaJTAmv/t0DD9GcVPyS5D6yb/RtV5u9MVnt8YK3fL+q8kFXeW/PndB/wNyK0e/+sGlj73ssKb88M1T4exNZR0/newod6R5OPFn4y3nNabcgqg6OXa+a1wFqXLS0w1uu5kctZsye9pm06H1gPXxxL51f4rOVkFYXRP3p+b9KG7y7YFexy6c9f+iKd/+2d/VmzhrPDl9Jp1AYC60wm3kQAAQQQQACBSRDousBaJouWrk6C6NVr1hUSnTh1Otw2a164fda8oO+Lyqr31iZ1qu5Gi78ANtU9rNV23/PALmLortesO1z9c4eyhuPWSZZ681g9RYG1emj7cv78+ZqTTl0giIvuDtaw2lZ/IxfUygbWWqbu/LZl+FcfWPsLwroIpmHC46IeUDa/Tij9kGD+hLQdFrLSBV2dHOpLw7FREEAAAQQQQKAzBeoF1npMiT+mUC+0uOh51XbRWdNu3LQ5niTz/1u3jh+vKADQMVNcfCCqun0A50fo0Wfq1RkXH1BYUFx1vmaOGf3FdR3v5j3Wxw9dOjo6mowqZP6NzBc7ZP2/6JhQ09s29eFEXI/fPn96+dX0Y+0D1m7Nf6Z/4sXn2LORYd07LbCO9ylbd/VkjUuz+73q88FY/PPmg2Ld6Jp1buXPFfSzlzVN3G77f9nAWsGePz8zEx9Yt+L3y1RaFAXWzWyHdu8jfrhv/c7RtvLF35yj7VYlsG5m/dWW3r6+9Hwy6/zctzfve/2e9Tc82T5oNy/F8/kbvm+6+bb44+T//ndefC6tm8RtGVnz33PvrPRzTdcpgbVWzIfwp0/XXpPS3wr9Hrd1838Tqv5tM1z7O6O64/3Qpsl69cvVvF/7+jcnzK9p/PD12q+tNLt/Wj15r1UDa9V305uH0lB2zntfPZs6Xs5rG0+n0/zq1fHezLuOD6XvKzRWj21fFA7/btGBdBqFvhZYa7rr3Gdz3pv4HOvP3bDhmtcH1ppfPastzH76oxN+0en3L31yKp3GPy/6VbdOCrSzAu+5fx4fDpzAOiXlGwQQQAABBBCYAoGuDKyHR0bCrLlPJQHzls+Ln8Ny6fLloK+iojrUC1t1qu5GS6cF1v45UXbyYxcS43XzF0Z0sW7lqtXJM6h0Z7TCY3+Cpbp04qMeywpPVS5cuJCeYOnzRYuXBF2osYuFvieEPn/5ldeCntOo+TREo+/VrOXrAlvZ0khgrTq/9/0f1LRV7fGBtU7k/ImdTsJ0UUNt1Yn9ipWrak4o1XPBl3ZbDAwM1LT/2LHsO3t9m/geAQQQQAABBKZGoF5grVb5Z6nqmEtDxeo4SxeD9fxeH7LqmKlsiS8467mh+/cfSOrWTW+/vObXNccUOiZSAOhvhvNDs6ptOg7SxXUFiLfcdmfN/L4nXNX5mjlm1A2VWgd96UZIhf86FtWxnY7lfnPd9enn/ubLqvPV2w71jgnteNOHE3GdPrzxgbWm80OcKzTSsb+OEzW0rLavD5LiQCxeTvz/Tgus1T7/PGbbzlnnDK3Y733PZJ07qHev9nsVnXvYtlM7FBBrpAG9r16I/hm6+ryR0Ez1+/My/TwUFR+Mm4kPrDVvs79fptKiKLBuZju0ex/RObIPIHVjj0Jh7Ud6XJf/TNst/vn0IWDe9m9m/VWnfpfbPqPf7VXLg7PnpPVYfVk3wKv+eCh73Qyhvxu6oePQ4cNh/uNP1tT16cZNNc3SdQNbhl4feOjh5He7elv7GytsmkZ+9nwP57yb5/31Hn/DujXSty8eCcXfnK8bTd5+573w2WfbwpMLnq7pFa62x38Tmvkb5a+zKNDXTWna/+uV+GdE7brqB1cnHQD091/htPeIb1Jodv+s1z4fWKsXsYLgel/qHa1ypH80DXQVymqYb/WgHrsSwtH+C+GlT8cDX32uZ0/7cvfKL9P5FVov3twbPj14Pry26XTwz7i2YNkH1uqxbO/r9ea3DoV1+86F9/ecDQqw/bDd+jwOrL/sq53/0fePJeujHuGqW3X4+ncfHx+2XD2vZWWfX/383rD1y4EkuNa8fgh0m4Ye1n7L8z0CCCCAAAIITKZAVwbWAjrV2xduvW9uMoT32g21JzSNAK7bsDmpQ3WpzirFH7B3Qg9rnfjFQbNOLrKK7vKNT5ztRM9edVetH2JL7y9a/EZane+lbfOo54qKLhbqRNzeL3rVhZdGik6GrD6F3fWKhn+06e3VB9aaXxcT6nloXl3A0nP04tJOCwLrWJv/I4AAAggg0LkCZQLrkydP1QRgdnwSvyoki5/XW2/NFY7E9cT/v/bX19VMo6DTinru+qE943nt/3GwVnW+Zo4ZdaOltafeqw/Xq85nRkWvRceEFnrG4YSvryiw1vG71VG0vtqeugGikdKJgfXCF/9Us32LHiHU7H6fFQTfe/8DKaFuJClzrqDzH7uBN525zjeNBNaq6qY/3FrjEgfWzf5+mUqLosBa697Mdmj3PnLHnffUbJf4Z9T/Xq0SWDe7/q0KrPU3KV63rBEfbLf3z1uP5/P/1/aJi26myrpxxc/nP++kwFqhum9n/L1+n9i1lvhvQjN/o+bNf3zCcrMeERdb+8C63u86XXPatXtPXEVTP58TKove8IG1hav1XvVsZiu+F3LRfAsyhv3WMOLqoVw0309fHB9+2wfWWv6izeO9t7PqUJBs78eBteZ/ZWNtoG7Txq/qJR6XTYcH0rrj6e3/v3hpXzoNgXUsyP8RQAABBBBAYLIEujawFlDP0RPhroceS3pH/2nRsnD23EBpt3PnB8LLi5cn86oO1VW1+Dtfqw6rpWX7k2c9FyqrLFu+Ij3x0F25ecU/306BelHRxQg7SfInUDpB0Qm3eqesWv12ulxN8/qixWmV6tURn8xYYK2JdLHGD7ftl6HvdXFFdxk3WnTianX5C6xF9cjM5tGret3ERXd5+wsJfnp9rzu6rYd5PG87LRSQ+7bkPU8qbhP/RwABBBBAAIHJF3ju+YXp3231dMwr+vvue8z6v/X6XoFGVm/SvPrsfR2/6RmqcX36v3pEfb59R3KM54954hsA1VM4q/ea6tCxY9azRLX8qvM1c8yoC/HxDZt+3bWeWcd9Vecz57zXomNCO+4u6t34zLPPp9vu1dcWTViMQoW8baP1Vq9yBZaNFvXCMzfdtFq1+F7mcZDq6zQLLTOvKHS3Num16AbhZvd7za8RCfzyfGCtNvYcOVLTw9BPq2368Jy5NaMV5K1X/L7OMawuf3NwPJ39Xz099TNr8+gmibg08/tlKi182OYfV+DXr+p2mIx95N77Hki3i20fvep3vUbusnNnDZXti78R3r+f9X3V9fcBatHvoKxlxu/5HuFxz+J4Wv2/6PetTPL+pmhe/c7LuhFIrvqZU3Bq1rr2ULb46yu6OSar+Os9akdcNNKCLTvrhhqtl21zm06v2t6a9yc/+5dkfk0TlyIz1ZH3t+3o0WMTbmxSXfWKHotmbdRNNP5vkb1vy7XRJ7LqrLp/ZtXl39Nw2Bawln1Vb2Zf1CvaP6fa16Oezmu/yL/RSz2an/v4RE2PZc3/y5f3hff3ng1vbOlN27fx0MTrk/tODQcNNe6Xqd7P6r2tobqtp7WeO51V1DP620+O95b29SjkfnfXxMeEWD0He0fC95/eXbNsm3/N7v6weseZ9LN4yHOrI+/Ve6q3uhWF/LaMW5ZOfLyMTXfbssPpdI0u2+rgFQEEEEAAAQSmh0BXB9baBAqe5y5YmATPN909J7y58r1w4FBPZqA4duVKOHj4SHhr1Zrwh7vnJPNoXtUx04t6K6tHhU7uNCSknnUXh7I66dE0WcNJKaDWUJM64cq7OKYewppXdzzPffSxpJd2o72FJms7ad3VtqXLVoSHZv8xaChGhepZJ6hxm6abRbx+/B8BBBBAAAEEWi+gC78azlnHSOpdq1FfinqrlW2BbsR7a+nyZMhVDeWpYaN90TGgbl5cu+6jzGdVa1od/+hmSj36RcOZ2lCuvp6s76vOV/WYUeuioWQff+KpoMBIQ9Yq+NOIOkW9XavOl7XO/r0yx4R++irf61E7tt/oxkwdu+rZ5zO9NLvfy1XnNTon0v4RF+1PGsFK3grLdIOKtoOC+k4szfx+6WSLZrZDu/cR7Tfah/R7U0FhUbhXdZ9pZv11s0Mjj5rIauPP/+WaNNwsupHEz6ufEd0wpdE5dJ6tIbn1N0U3EpQp9vdBv9v1+z7+m1amjqmYRtcX9DtDAbkCbD/aR732VP0bpZH3Dn/5Zdixc1cy9Hp8fafecu1zHYvo0XF6lriOAfQ7oUxpZv8sU38z02iY7D0nhsPy7X3hmY9OJEHvod6RoEC6bBkYvRxOnb8Y9PxqK74HuMLpvKJ5Tg9cDKrDysjFsTS0veGN8V7h9rm9Xhq7EvaeHA7LPu8Lz64/kbzqGdhlitZP663hzNUTe8fRoSALCgIIIIAAAggg0CkCDQXWg0MjYUBfg/oaTr7ODw6H8wPD4cSp88nXVKyYDoQ3bd0e7nn4iSSE1vOob7nvkTB7/nNhwQuvJV/6Xu/pM31pWs2jeSkIIIAAAggggAACCCCAAAIIIIDAdBew3sjq1V+1+JEP9IgCrqtUlWS+bhDQM6QVDutLPbTzinpaW49iH0a/te2rcFnzj14ay5x9sxu2W8+opiCAAAIIIIAAAjNRYFoE1rbhdAfpnn0Hw5IV7yZh9e2z5oUbbn8w+dL3Cq31mabRtBQEEEAAAQQQQAABBBBAAAEEEEBgJggorLah5Ddu2lx5lefOm5/2rm5kCO7KC2RGBKZQ4MDpkTSI1pDc6uUcF/+Mag377ctNbx5K539za6//KPm+f/hSzXDdZXtMT6iINxBAAAEEEEAAgS4XmFaBdda2uDw2FvRFQQABBBBAAAEEEEAAAQQQQAABBGaqwIqVq5KgWUM8N1peX7Q43HjTLcmzuO15xnrucpnHZjW6LKZHoJMEFE/7Z0f/9MUvgp77vP3oYFix/Uy4b3VPGkirh/W2ntohujX0uPW81uuCtcfDpsMDYcOB88kzsa96Zk/6+fWLD9YMM95JDrQFAQQQQAABBBBot0BrAuvBqR0SvN1I1I8AAggggAACCCCAAAIIIIAAAgh0s8DFi5fCyMhIpVW4+577017VFli/+NLLlepiJgS6TUDPfv6nx3amwbIPoP33CqLjoicR3rH8cN15f7foAM+UjvH4PwIIIIAAAgjMKAEC6xm1uVlZBBBAAAEEEEAAAQQQQAABBBBAoDGBefMfTwPrv/1PXwtvLHmrsQqYGoEuF+g5Mxpmvd0zIbj+0fN7w/2re0LRUN6Xx66EldvPhKuf31sTXCsEv27RgfD8xycJq7t8/6D5CCCAAAIIINC8AIF184bUgAACCCCAAAIIIIAAAggggAACCCCAAAIzQODs8KVwsHckjFxs/BGEFy9fCUf7L4Tj5y7MAClWEQEEEEAAAQQQKC9AYF3eiikRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBFooQGDdQkyqQgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoL0BgXd6KKRFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEWihQP7AeHgmDQ+NfA0MjYWBQX8PJ1/nB4aCvE6fOJ18tbBtVIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAghMYwEC62m8cVk1BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoJMFCgProeHRMJjVwzrpZU0P607esLQNAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ6HSBJgLrr4YFZ0jwTt/EtA8BBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDoTIGmA2s9y5pnWHfmxqVVCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQCcLpIH18MhoGNLXcO1X/pDgX/WwJrDu5M1L2xBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHOFSCw7txtQ8sQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBaS3wXw2PXAjqXU0P62m9nVk5BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAoOMESgTWo2FwaCT9GhgaCcnXIEOCd9zWpEEIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIBAFwk0HFgrvCaw7qItTFMRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBDhUgsO7QDUOzEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgekuUC6wHh4fEpwe1tN9l2D9EEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgckRqB5Ya2hw9xzrE6fOB31REEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQKCNQN7AeGh4Ng1k9rOPA+vRXgfXY2JUyy2UaBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEZLjAxsB4ZDQqp/VeZwPpU70DSw/rixcsznJTVRwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAoI1ATWA8rrK4YWPeeGUwC66HhC2WWyzQIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAjNcoGRgPRoGh0ZqvgaiIcHPnB1KAuszZ4dnOCmrjwACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQRuAvgfWFoN7V+T2scwJrF1qfHxhOAusTp86HS5fHyiybaRBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEZrBA+cB6OKOHtQusBwaHgw0Lfm5gZAaTsuoIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAmUESgXWQ8OjYbBEYH32/FfDgquX9cWLl8ssn2kQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBGaowITAOn9Y8Noe1nqmdfwc6/Oul3XvmaEZSspqI4AAAggggAACCCCAAAIIIIAAAggggAACCCCAwP/f3r31tK2EYRjl///SlmMcHxJE6VSfExvHOM44EBXIurAo2mirPF3tzcuMFVBAAQUUUCCnwILB+vR7rONa8Bitb+/L9n3Wq8LV4Dl/CL5GAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUuMYCg8H6OcXp6mMnrHOvBY/Bur0a/G5ttL5GUb5nBRRQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBRRQILPAhwbrqWvBu1PWw9E6rgf3TuvMPxFfpoACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACClxJgcnB+tgp66rJvxa8PWld1P314L9u16koN+nlz+uVpPVtKqCAAgoooIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgrMFVg0WOdeC96dso7Rel026f6xaq8Hj9E6nsdVk+rmuT11/fr6d+73578poIACCiiggAIKKKCAAgoooIACCiiggAIKKKCAAgoooIACCvzQAqPBevl7rPtrwetNKqt4mvZpx+r9YB2j9aqo093D4XDdDdg+7oZ8HXRggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggIFrMjA/WG+2KU5VD5/2WvBmk2Ko7p4yxurRYD0+ZR2jdTxFWafHVZXuHsr0+748OHl9TeF9r/6hYYABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQYYYICBazdwdLA+9h7rqWvBc09ZD0frGK7bZ12nYvCs1nU6fKq0Kt4/T0WVFj2rKj15NGCAAQYYYIABBhhggAEGGGCAAQYYYIABBhhggAEGGGCAAQa+jIGbZhvXgI+fbZofrLf96epzTll3J60/OlrHkL1otF769aB+Gah+2MAPXDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDw8wzMDtbzo/XbleDnjNbF/nrw/NE6Tl6/P2k9Pn190QF76eDt6y/7AwX66ssAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMDAtzZws5k5YT0/WM+csh69z3pdNal/9u+y3p2y3r3T+thoHVeFH14P3n1eZY3XFz+BDf+3xu+HGy58Q4G/H/5+MMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMnDCwG6xnRut6s03t02xTvL96+FTNqVPWm1RWTftMDdY577Tu3m89PVznnboen8Iefm60NFoywAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAAD/8fAycF66SnruB687J7qbbCO4Tp7tC7r1A3V44/Hh+v9eB3XhmdcHT4crf369FXrGmnEAAMMMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAOfbaAdrKevBX9OMVb3g3WctB6dsI7Pp05ZZ43WMWAPrgefvCJ8Zrg+fl14d2348ON+xDZmp88G5P/nHyUGGGCAAQYYYIABBhhggAEGGGCAAQYYYIBJlQbmAAAAcElEQVQBBhhggAEGGDjXwNtgPXMteD9aTw7W06N1f8p69D7rg5PWE6P1briuU/9e6xitTwzX3Sns+dPXwwF7ya9HY3c3evu4O8mugw4MMMAAAwwwwAADDDDAAAMMMMAAAwwwwAADDDDAAAMMMHCmgX/rXBpKVGACoAAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "id": "57c7e2ba",
   "metadata": {},
   "source": [
    "![image.png](attachment:4d4d4246-1665-4bef-87ce-19d690577133.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b4c8b03",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Atom -> BNB swap not working"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd9a6d8d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fddd74d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from web3 import Web3\n",
    "import datetime\n",
    "from tools.pancake.lib.constants import CONSTANTS, KEY, ExecutionReport\n",
    "from tools.pancake.lib.venue.pancake import PANCAKE_ROUTER\n",
    "\n",
    "token_from = \"ATOM\"\n",
    "token_to = \"BNB\"\n",
    "\n",
    "amount = 0.5\n",
    "\n",
    "if \"-\".join([token_from, token_to]) in self.dex.reference:\n",
    "    ref = self.dex.reference[\"-\".join([token_from, token_to])]\n",
    "    fromToken, toToken = (\n",
    "        Web3.toChecksumAddress(ref[\"base_address\"]),\n",
    "        Web3.toChecksumAddress(ref[\"quote_address\"]),\n",
    "    )\n",
    "\n",
    "elif \"-\".join([token_to, token_from]) in self.dex.reference:\n",
    "    ref = self.dex.reference[\"-\".join([token_to, token_from])]\n",
    "    fromToken, toToken = (\n",
    "        Web3.toChecksumAddress(ref[\"quote_address\"]),\n",
    "        Web3.toChecksumAddress(ref[\"base_address\"]),\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a438fe71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('0x0Eb3a705fc54725037CC9e008bDede697f62F335',\n",
       " '0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fromToken, toToken"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f0575450",
   "metadata": {},
   "outputs": [],
   "source": [
    "transferAmount = Web3.toWei(amount, \"ether\")\n",
    "amountsOut = self.dex.router.functions.getAmountsOut(\n",
    "    transferAmount, [fromToken, toToken]\n",
    ").call()\n",
    "amountOutMin = amountsOut[1] * (100 - self.dex.slippage_max) / 100\n",
    "deadline = datetime.datetime.now(datetime.timezone.utc).timestamp() + (\n",
    "    CONSTANTS.TIMEOUT_MINUTES * 60\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81774c50",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "47347971",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AttributeDict({'blockHash': HexBytes('0xc07a288c82aa6c8c8c1d8b1b35d85e245f5e127a6ae90f7f9a72cfd764e317f9'),\n",
       " 'blockNumber': 11798311,\n",
       " 'contractAddress': None,\n",
       " 'cumulativeGasUsed': 11545840,\n",
       " 'from': '0xBBd9D733252C34a6dE99956f225020803ca39154',\n",
       " 'gasUsed': 23237,\n",
       " 'logs': [],\n",
       " 'logsBloom': HexBytes('0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000'),\n",
       " 'status': 0,\n",
       " 'to': '0x10ED43C718714eb63d5aA57B78B54704E256024E',\n",
       " 'transactionHash': HexBytes('0x77c403baf475653fd3f90daaee1e15de01b63997b63410133654ff758434c0ba'),\n",
       " 'transactionIndex': 83,\n",
       " 'type': '0x0'})"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swap_abi = \"\"\n",
    "if token_to == \"BNB\":\n",
    "    swap_abi = self.dex.router.encodeABI(\n",
    "        \"swapExactTokensForTokens\",\n",
    "        args=[\n",
    "            int(transferAmount),\n",
    "            int(amountOutMin),\n",
    "            [fromToken, toToken],\n",
    "            self.dex._address,\n",
    "            int(deadline),\n",
    "        ],\n",
    "    )\n",
    "\n",
    "rawTransaction = {\n",
    "    \"from\": self.dex._address,\n",
    "    \"nonce\": self.dex.web3.toHex(\n",
    "        self.dex.web3.eth.getTransactionCount(self.dex._address)\n",
    "    ),\n",
    "    \"gasPrice\": Web3.toHex(int(self.dex.gas_price * 1e9)),\n",
    "    \"gas\": Web3.toHex(self.dex.gas_limit),\n",
    "    \"to\": PANCAKE_ROUTER,\n",
    "    \"data\": swap_abi,\n",
    "    \"chainId\": hex(56),\n",
    "    \"value\": Web3.toHex(self.dex.gas_limit)\n",
    "    if token_to == \"BNB\"\n",
    "    else Web3.toHex(transferAmount),\n",
    "}\n",
    "\n",
    "rawTransaction\n",
    "\n",
    "signedTx = self.dex.web3.eth.account.sign_transaction(rawTransaction, self.dex._secret)\n",
    "deploy_txn = self.dex.web3.eth.send_raw_transaction(signedTx.rawTransaction)\n",
    "_ = self.dex.web3.eth.wait_for_transaction_receipt(deploy_txn)\n",
    "\n",
    "_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dbee58f9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5eb3a4b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37425753",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "022c970d",
   "metadata": {},
   "source": [
    "## Market order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96787dc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "quote_order_quantity = None\n",
    "\n",
    "quantity = int(quantity * 10 ** CONSTANTS.PRECISION) * 10 ** (\n",
    "    -CONSTANTS.PRECISION\n",
    ")\n",
    "\n",
    "if coin_from + coin_to in self.dex.reference:\n",
    "    # base to quote.\n",
    "    market_pair = coin_from + coin_to\n",
    "    quantity *= -1\n",
    "\n",
    "elif coin_to + coin_from in self.dex.reference:\n",
    "    # quote to base\n",
    "    market_pair = coin_to + coin_from\n",
    "    quote_order_quantity = quantity\n",
    "\n",
    "min_qty = self.dex.reference[market_pair][KEY.MIN_QTY]\n",
    "report = ExecutionReport()\n",
    "report.SYMBOL = coin_to\n",
    "\n",
    "original_qty = self.dex.getWallet()[0].get(coin_to, 0)\n",
    "\n",
    "if quote_order_quantity is not None:\n",
    "    quote_order_quantity = math.floor(quote_order_quantity / min_qty) * min_qty\n",
    "    order_id, error = self.dex.Post(\n",
    "        symbol=market_pair, quote_order_quantity=quote_order_quantity\n",
    "    )\n",
    "else:\n",
    "    quantity = math.ceil(quantity / min_qty) * min_qty\n",
    "    order_id, error = self.dex.Post(symbol=market_pair, qty=quantity)\n",
    "\n",
    "if error is not None:\n",
    "    report.SUCCESS = False\n",
    "    report.ERROR_STR = (\n",
    "        f\"Error when posting the order for {round(quantity,2)} \"\n",
    "        f\"of {coin_from} {error}\"\n",
    "    )\n",
    "    return report\n",
    "\n",
    "while True:\n",
    "    status, _ = self.dex.getStatus(order_id)\n",
    "    if status is not None and status[\"status\"] == \"FILLED\":\n",
    "\n",
    "        while True:\n",
    "            new_qty, _ = self.dex.getWallet()\n",
    "            if new_qty is not None and new_qty[coin_to] != original_qty:\n",
    "                executed_qty = new_qty[coin_to] - original_qty\n",
    "                report.EXECUTED_QTY = executed_qty\n",
    "                return report\n",
    "\n",
    "            time.sleep(CONSTANTS.TIME_DELAY / 2)\n",
    "\n",
    "    time.sleep(CONSTANTS.TIME_DELAY / 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e092c36b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "395b86ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51cf09ab",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8784851",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f9e0a29",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "59c3f625",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "77c28646",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4281456e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a1e6bb7",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1e51de57",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57c7358e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcd9646b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d31bdab2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd791578",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b912210e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dex = self.dex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "0daf9440",
   "metadata": {},
   "outputs": [],
   "source": [
    "w3 = dex.web3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "9bd08a18",
   "metadata": {},
   "outputs": [],
   "source": [
    "router_abi = load_json(\"router_abi.json\")\n",
    "factory_abi = load_json(\"factory_abi.json\")\n",
    "pair_abi = load_json(\"pair_abi.json\")\n",
    "token_abi = load_json(\"token_abi.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3cbda5ad",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "4ef90e5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "router_contract = w3.eth.contract(\n",
    "    address=w3.toChecksumAddress(PANCAKE_ROUTER), abi=router_abi\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "0f456606",
   "metadata": {},
   "outputs": [],
   "source": [
    "factory_contract = w3.eth.contract(\n",
    "    address=w3.toChecksumAddress(router_contract.functions.factory().call()),\n",
    "    abi=factory_abi,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "955b7aec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "471754"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "factory_contract.functions.allPairsLength().call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "153585f4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4d0676db",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "24d60dc2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f93e4b5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0x468b2DC8DC75990eE3E9dc0648965Ad6294E7914'"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "factory_contract.functions.getPair(\n",
    "    \"0x0Eb3a705fc54725037CC9e008bDede697f62F335\",\n",
    "    \"0xbb4CdB9CBd36B01bD1cBaEBF2De08d9173bc095c\",\n",
    ").call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "6957d95f",
   "metadata": {},
   "outputs": [],
   "source": [
    "pair_contract = w3.eth.contract(\n",
    "    address=w3.toChecksumAddress(\"0x468b2DC8DC75990eE3E9dc0648965Ad6294E7914\"),\n",
    "    abi=pair_abi,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d0a15acd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0x1D2F0da169ceB9fC7B3144628dB156f3F6c60dBE'"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pair_contract.functions.token0().call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "0a599535",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Cake-LP'"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pair_contract.functions.symbol().call()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc82e4fa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e067cbc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "pair_contract = w3.eth.contract(\n",
    "    address=w3.toChecksumAddress(\"0x03F18135c44C64ebFdCBad8297fe5bDafdBbdd86\"),\n",
    "    abi=pair_abi,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2924a0f5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c610a7e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be756f23",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ca8931e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0232261",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0883bb5c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e4d62ee",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6cc6beb9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5eca9deb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "95b38ade",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11072b1f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "13d1a9e4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01ad106f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "def1edd8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac24c0a4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c55be321",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a93b06e2",
   "metadata": {},
   "outputs": [],
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6c7e74cc",
   "metadata": {},
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  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50777939",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
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   "execution_count": null,
   "id": "fc2eb8fa",
   "metadata": {},
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  {
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   "execution_count": null,
   "id": "39763746",
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   "cell_type": "code",
   "execution_count": null,
   "id": "06386ebe",
   "metadata": {},
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   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e71ca55",
   "metadata": {},
   "outputs": [],
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  {
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   "execution_count": null,
   "id": "ab882d98",
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   "id": "d5a05bec",
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50139aef",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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