blockchain/Price and Circulating Supply.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "\n",
    "# Retrieve data from API\n",
    "token_address=\"0xdd974d5c2e2928dea5f71b9825b8b646686bd200\" # KNC token\n",
    "url = \"https://web3api.io/api/v1/market/tokens/prices/\" + token_address + \"/historical?timeFormat=iso&timeInterval=h\"\n",
    "headers = {'content-type': 'application/json', 'x-api-key': '<ENTER_YOUR_API_KEY_HERE>'}\n",
    "\n",
    "response = requests.get(url, headers=headers, verify=True)\n",
    "if (not response.ok): # response.status_code\n",
    "    response.raise_for_status()\n",
    "\n",
    "# Parse JSON data\n",
    "jData = json.loads(response.content)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>priceUSD</th>\n",
       "      <th>priceETH</th>\n",
       "      <th>hourlyPercentChangeETH</th>\n",
       "      <th>hourlyPercentChangeUSD</th>\n",
       "      <th>dailyPercentChangeETH</th>\n",
       "      <th>dailyPercentChangeUSD</th>\n",
       "      <th>dailyVolumeETH</th>\n",
       "      <th>dailyVolumeUSD</th>\n",
       "      <th>weeklyPercentChangeETH</th>\n",
       "      <th>weeklyPercentChangeUSD</th>\n",
       "      <th>circulatingSupply</th>\n",
       "      <th>totalSupply</th>\n",
       "      <th>marketCapETH</th>\n",
       "      <th>marketCapUSD</th>\n",
       "      <th>isCrossRates</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-08-30</td>\n",
       "      <td>0.22308</td>\n",
       "      <td>0.000929</td>\n",
       "      <td>-0.379692</td>\n",
       "      <td>7.747295</td>\n",
       "      <td>-1.331102</td>\n",
       "      <td>3.939429</td>\n",
       "      <td>496.878153</td>\n",
       "      <td>1157.983756</td>\n",
       "      <td>-0.424816</td>\n",
       "      <td>6.092167</td>\n",
       "      <td>2.135202e+08</td>\n",
       "      <td>2.135202e+08</td>\n",
       "      <td>198316.463065852649982188803323000000000000</td>\n",
       "      <td>47632078.747980349978226280552000000000000000</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-08-31</td>\n",
       "      <td>0.22308</td>\n",
       "      <td>0.000962</td>\n",
       "      <td>-1.370288</td>\n",
       "      <td>8.412305</td>\n",
       "      <td>3.533880</td>\n",
       "      <td>7.830626</td>\n",
       "      <td>292.478655</td>\n",
       "      <td>188312.753211</td>\n",
       "      <td>-1.438019</td>\n",
       "      <td>0.031389</td>\n",
       "      <td>2.135202e+08</td>\n",
       "      <td>2.135202e+08</td>\n",
       "      <td>205324.728731558159383122692929500000000000</td>\n",
       "      <td>47632078.747980349978226280552000000000000000</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-09-01</td>\n",
       "      <td>0.22308</td>\n",
       "      <td>0.000945</td>\n",
       "      <td>0.221116</td>\n",
       "      <td>8.676377</td>\n",
       "      <td>-1.725218</td>\n",
       "      <td>8.819512</td>\n",
       "      <td>290.817414</td>\n",
       "      <td>200.772000</td>\n",
       "      <td>-2.306583</td>\n",
       "      <td>-2.073068</td>\n",
       "      <td>2.135202e+08</td>\n",
       "      <td>2.135202e+08</td>\n",
       "      <td>201782.429168939394786839861683500000000000</td>\n",
       "      <td>47632078.747980349978226280552000000000000000</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-09-05</td>\n",
       "      <td>0.22308</td>\n",
       "      <td>0.000906</td>\n",
       "      <td>-0.076346</td>\n",
       "      <td>39.411930</td>\n",
       "      <td>0.225028</td>\n",
       "      <td>10.350968</td>\n",
       "      <td>340.128663</td>\n",
       "      <td>147.678960</td>\n",
       "      <td>-3.713914</td>\n",
       "      <td>3.957593</td>\n",
       "      <td>2.134560e+08</td>\n",
       "      <td>2.134560e+08</td>\n",
       "      <td>193469.047945736030203629498080500000000000</td>\n",
       "      <td>47617764.604474790639340297156000000000000000</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-09-06</td>\n",
       "      <td>0.22308</td>\n",
       "      <td>0.001037</td>\n",
       "      <td>-2.080574</td>\n",
       "      <td>27.031490</td>\n",
       "      <td>14.405344</td>\n",
       "      <td>39.433715</td>\n",
       "      <td>1752.286259</td>\n",
       "      <td>742.875956</td>\n",
       "      <td>11.642505</td>\n",
       "      <td>7.807177</td>\n",
       "      <td>2.134560e+08</td>\n",
       "      <td>2.134560e+08</td>\n",
       "      <td>221338.930658589047237094918101000000000000</td>\n",
       "      <td>47617764.604474790639340297156000000000000000</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   timestamp  priceUSD  priceETH  hourlyPercentChangeETH  \\\n",
       "0 2019-08-30   0.22308  0.000929               -0.379692   \n",
       "1 2019-08-31   0.22308  0.000962               -1.370288   \n",
       "2 2019-09-01   0.22308  0.000945                0.221116   \n",
       "3 2019-09-05   0.22308  0.000906               -0.076346   \n",
       "4 2019-09-06   0.22308  0.001037               -2.080574   \n",
       "\n",
       "   hourlyPercentChangeUSD  dailyPercentChangeETH  dailyPercentChangeUSD  \\\n",
       "0                7.747295              -1.331102               3.939429   \n",
       "1                8.412305               3.533880               7.830626   \n",
       "2                8.676377              -1.725218               8.819512   \n",
       "3               39.411930               0.225028              10.350968   \n",
       "4               27.031490              14.405344              39.433715   \n",
       "\n",
       "   dailyVolumeETH  dailyVolumeUSD  weeklyPercentChangeETH  \\\n",
       "0      496.878153     1157.983756               -0.424816   \n",
       "1      292.478655   188312.753211               -1.438019   \n",
       "2      290.817414      200.772000               -2.306583   \n",
       "3      340.128663      147.678960               -3.713914   \n",
       "4     1752.286259      742.875956               11.642505   \n",
       "\n",
       "   weeklyPercentChangeUSD  circulatingSupply   totalSupply  \\\n",
       "0                6.092167       2.135202e+08  2.135202e+08   \n",
       "1                0.031389       2.135202e+08  2.135202e+08   \n",
       "2               -2.073068       2.135202e+08  2.135202e+08   \n",
       "3                3.957593       2.134560e+08  2.134560e+08   \n",
       "4                7.807177       2.134560e+08  2.134560e+08   \n",
       "\n",
       "                                  marketCapETH  \\\n",
       "0  198316.463065852649982188803323000000000000   \n",
       "1  205324.728731558159383122692929500000000000   \n",
       "2  201782.429168939394786839861683500000000000   \n",
       "3  193469.047945736030203629498080500000000000   \n",
       "4  221338.930658589047237094918101000000000000   \n",
       "\n",
       "                                    marketCapUSD  isCrossRates  \n",
       "0  47632078.747980349978226280552000000000000000         False  \n",
       "1  47632078.747980349978226280552000000000000000          True  \n",
       "2  47632078.747980349978226280552000000000000000         False  \n",
       "3  47617764.604474790639340297156000000000000000         False  \n",
       "4  47617764.604474790639340297156000000000000000         False  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import dateutil.parser\n",
    "import pandas as pd\n",
    "\n",
    "# Load & transform JSON data into Data Frame\n",
    "df = pd.DataFrame(jData['payload']['data'], columns=jData['payload']['metadata']['columns'])\n",
    "df['timestamp'] = pd.to_datetime(df['timestamp'])\n",
    "df['circulatingSupply'] = df['circulatingSupply'].astype('float64')\n",
    "df['totalSupply'] = df['totalSupply'].astype('float64')\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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88ELL9zJuz549eu211ySpZaqg5Ex//N3vfqcjjjhCV155ZZtj1q1bp7Vr1yo7O1vjx4/Xt771LV133XW65ZZbtG7d3vEyceJErVmzpsuvy2t0TgEAkCJeekk69lgpL0967rmug6m4I45wpv3V1DgB1fr1/V8nAP9obJQWL3aCqW9/W7rjjsTBVFxGhjO1b/Fi6dprpcsvdwIuYLCy1g7KzqnnnntO8+fPV15enoYMGaJTTjml5bX169dr5syZOuSQQ7R8+XK9/fbbCc9jjNE555yje++9V7t379ZLL73Usq5U66l9raf0Pf/885o/f74CgYCCwaBOO+00Pffccz2qP17vIYccounTpys/P1+hUEjZ2dnavXu3nnrqKT311FOaMmWKpk6dqnfffVcbN26USZDGx7dfddVVeu211zRnzhzdd999mjdvXsIabII3z/LycoVCoTbbFixY0GG/3bt3q6qqSkcccYQkdZgGeNxxx2no0KHKycnRhAkT9GGCVvn09HRlZWWpqqoqYa1eo3MKAIAU8Mwz0sknS8XFTgdUT+6mNWWK02V1/PHS7NnS3/4mtfvPOgADUH29tGiR0wn1ox9J11zT/Q6otDTp9tudBdNvuskJuG+91dkODDa7anepvqleknfhVFcdTl5YtGiRHn30UU2ePFnLli1TWVlZl/uff/75Ovnkk5WTk6OvfOUrLdPZZsyYofLycr355pt68cUXO6xB1ZWMjAw1NTW1PK+trW3zenbz3WLS0tJaPo8/b2hokLVW3//+9/W1r32tzXHRaFS7du1qs23nzp0aM2ZMy/OxY8fq61//ui6++GKFQiFVVlZ2WuPatWt18MEHd9iem5vbod5AINDVl9up1l9Xenp6l4ue19XVJezw8gP+egEAwOdWrJC++EVp9Gjp2Wd7d5v3CROcbqtg0Om+euEF18sE4CN1ddIZZzjB1M9/Lv3kJz2fmmeM9KtfSd//vtNxtWiR5PObPQH9Ih5IFWUXqSJWkbAbZqA5+uij9eijj6qmpkZVVVV6/PHHW16rqqpScXGx6uvru7WW0f7776/9999fP/3pT3X++ee3bDfGaMGCBTrvvPN0wgkntIQnM2fO1KOPPqrq6mrFYjE98sgjmjlzZptzlpSUaMOGDaqrq9Pu3bu1atWqHn19c+fO1d13361oNCpJ2rp1q7Zt26ZgMKji4mKtXr1akhNMPfnkkzrqqKMkSX/9619bxsDGjRuVnp6uYcOGdTj/3//+dy1durRl+mNrBx98sDZt2rTPGocNG6b8/Hy98sorktTt8C4zM1P19fUtzysrK1VYWKjMzMxuHe8FOqcAAPCxhx+WFi6UDjnE6XgqLOz9ucaOdcKt44+X5syRHntMOu4492oF4A/V1dJppznvGb/5jZRgGZhuMcaZ2peX56xBVVsrLV8u+fj3G8B18XBqbHCsXqx8Ubtrd2u/3P08rqr/TZ06VQsWLNDkyZM1YsQITZs2reW1n/zkJ5o+fbpCoZCmT5/ereliZ511lrZv396hk2jhwoW6/vrrdd1117W59qJFi3T44YdLki666KIO602NGjVKZ5xxhiZOnKgxY8b0aD0qSZozZ47eeeedlilzwWBQ9957r0aMGKF77rlH3/zmN3X55ZdLkq6++mqNHTtWkvSHP/xBl112mfLy8pSRkaHly5crvXm+9AMPPKDnn39e1dXVGjNmjB5++OFOO6dOOOEEnXPOOd2q86677tLFF1+stLQ0zZo1S0OHDt3nMYsXL9akSZM0depULV++XM8884xOPPHEbl3PKyYVU99AIGBjsVifzlFWVqbZs2e7UxBcw88FiTA2kMhAHht/+IPTqfD5zzvdU934t0i3RCLSF74gbdzohF8+/7dKnwzk8YG+Gahjo6pKOukkp1PyzjulCy5w79y//KVzF7+TT3bu9ufj2SF9MlDHBnrvvn/cp7P+7yydW3Ku7vnwHm34xgYdHOoYOLjtnXfe6TTYSFWXXnqppkyZogsvvNDrUvpFVVWV8vPzu73//Pnzdf3112vcPu5WE41GFQwGJUnXXXedysvL9etf/7pHtZ122mm67rrrdNBBB7XZ3tkYM8ZUW2t7Psewj5jWBwCAD91xh3TeeXvXiHIrmJKkcFgqK5MmTpROPVV68EH3zg3AOzt3Op2RL7zgTOdzM5iSnIXRb71Vevxx6ZRTnA4tYDBo6ZwKjG3zHN136KGH6q233tLZZ5/tdSm+EQ+a9uWvf/2rSktLNXHiRD333HP60Y9+1KPr7NmzR6eeemqHYKq3jDGjjDHPGGM2GGPeNsZ8u5N9jDHmN8aYTcaYt4wxU/d1Xqb1AQDgM/HuhBNPlB56qH+6EwoKnIXVTzxROvNM55fM885z/zoAkmPbNqcj8t13nY7IL32pf67z9a87i6RfeKF0wgnSX/4i9aBRAEhJkWhEWelZOjDvwJbn6JnXX3/d6xJ8Z/z48Ro/fvw+91uwYEGnd/LrrqysLJ177rm9Pr4TDZK+a619wxiTL+l1Y8xKa+2GVvucIGlc88d0Sbc1PyZE5xQAAD5hrXM3re9+V/rKV6T/+7/+nTYzdKjTlXXssc70wVtv7b9rAeg/W7dKRx/tTNV9/PH+C6biFi1y1p164QUnEGt3UytgwIlEIwoHwyrIKmh5DgxW1tpya+0bzZ9XSXpH0gHtdvuSpHus42VJw4wxxV2dl3AKAAAfsFa68krp6qudDqb77pOysvr/uoGA88vsSSdJ3/ymdOON/X9NAO55/31p5kzp44+dsHnOnORc98wznQ6ttWudgHv79uRcF/BCJBpRcbBYwYygstKzkhpOpeIa0UgNXYytDGPMa60+Fifa0RgzWtIUSa+0e+kASZtbPd+ijgFWG4RTAAB4rKnJuZvW9dc7U2buvlvKSOLE+5wcp0vrjDOk731PWrLECcsA+Nt77znB1O7dzjTddndZ73df+pL05z87Uwlnz5a6sXQKkJLinVPGGIWDYVXEKpJy3ZycHFVWVhJQwXXWWlVWViqn8xb9BmvtYa0+lna2kzEmKOlhSd+x1n7a15pYcwoAAA81NkoXXSQtWyZdcYUTUBmT/DoyM51urbw86cc/lmIx72oBsG9vveVMqZOcGxxMmuRNHfPmSU884XRfzprlhGSjRnlTC9BfItGIZoyaIUkKB8NJ65waOXKktmzZou20JqaE2traRGGPL+Xk5GjkyJG9OtYYkyknmFpurf2/TnbZKqn13wYjm7clRDgFAIBH6uuls892bsn+4x9L//3f3oZB6enSXXc5U/1uvNEJqG65RUqjzxrwlTVrpLlznTB51SqpG+vp9qvZs6WVK52gauZMafVq6TOf8bYmwC31jfXaUb1D4WBYklQUKNJHn3yUlGtnZmZqzJgxSbkW+q6srExTpkzxuox+Z4wxku6S9I619pcJdntM0qXGmPvlLIT+ibW2y/5awikAADxQW+tMo3v8cScI+u53va7IkZYm3XyzE1Bdf70TUN11V3KnGQJI7NlnnS6lwkInmPLL761HHOGEUnPmOAHVqlXSZz/rdVVA322v3i4r64RTUadz6tWtr3pdFuClIyWdI+kfxph1zdt+IOlASbLW3i5phaQvStokqVrS+fs6Kf/UBAAgyWIxZ62WVauk226TLrnE64raMka67jopGJSuukqqrnbuzJWMBdoBJPbUU9Kpp0olJdLTT0sHdLm0bPIdeqgzxfALX3Cm+K1c6d10Q8At8Sl8rcOp7dXb1djUqPS0dI+rA5LPWvu8pC57/a2zUNo3e3JeGvUBAEiiTz5xpuM884z0v//rv2AqzhhnmuH//I/00EPS/PlSTY3XVQGD15//LJ18sjRunPT3v/svmIo75BCnvsxM6ZhjpNde87oioG/ahFPNj022SdurWQcKcBPhFAAASVJZKR13nPTKK9IDD0jnnut1Rft2+eXS7bfvXfA4GvW6ImDw+eMfpS9/WSotdYLtESO8rqhr48c70w+HDHHe81580euKgN7rLJySpIpocu7YBwwWhFMAACRBJOIsGrx+vfToo9Lpp3tdUfd97WtOl1dZmdP1tXu31xUBg8fdd0tnnSUdeaQzlW/4cK8r6p7PfMYJqMJhZx2q1au9rgjonfIqZw3nokCRpL3hVLLu2AcMFoRTAAD0s82bpaOPlt5/X1qxQjrxRK8r6rlzznHuKrhmjdMJsWOH1xUBA9/NN0sXXuiEO088IeXne11Rz4wa5UzxGz3aed974gmvKwJ6LhKNaGj2UOVm5kraG1IRTgHuIpwCAKAfbdrk3Llq2zZnMeNjj/W6ot778pedrq8NG5zFjsu7vCEwgL74+c+l//f/nAXQ//xnKS/P64p6Jxx2ui4PPti5EcQjj3hdEdAzkVikpVtKkoqChFNAfyCcAgCgn2zY4HRMRaPOlJYZM7yuqO+++EWn++vDD53Q7cMPva4IGFislX74Q+kHP5C++lWnYzE72+uq+qaw0HkPPPRQ6StfcdbQ8qPly50ur2OPnaXRo53nQCTaNpwKZgUVzAoSTgEuI5wCAKAfrF3rdBdZ60xrmTrV64rcc8wxzi3id+xwAqqNG72uCBgYrJUuu0y69lrpoouke+5x7no3EAwb5nSPHnWUs4bW3Xd7XVFby5dLixc7gbu1Rh9+6DwnoEL7cEpy1p2KxAinADdleF0AAAADzUsvSSecIA0dKq1aJf3Hf3hdkfuOOMK5a9icOU532NNPS5/7nNdVAamrsVG65BLpzjulb39b+tWvJGO8rspd+flO5+X8+c5aWjU10je/mdwarHXunLppk/SvfzkfmzY5HWp1dW33ra6WLr7YucPqmDFtP4YMSW7d8E6icIq79QHuIpwCAMBFZWXSSSdJxcVOYFNS4nVF/WfKFKcr7PjjnS6xp54aWB1iQLI0NEjnnSfdd58zpe8nPxl4wVRcXp702GPSGWdIl17qBFRXXOHuNZqapI8/3htAtQ+iPv10777GSCNHdgym4mpqpGXLpKqqttsLCtqGVZ/5zN7PS0qkrCx3vyZ4I7onquieaIdwqihQpA3bN3hUFTAwMa3PI/E57Wlp8nROu9/qYI4/2vPL2PDbnxXq8OfYKCqSvvAF5/mzzw7sYCpuwgTnaw0EnOl+S5Z4PzYkf4wPP/w5oY7EdfjpvWPIECeYuvZa6ac/HbjBVFx2tvTQQ05A9b3vOTdbKCnp2dior3emFD/5pHTLLc50yFNOcd6T8vKcOwUec4wzPfJ//kdat855jz73XOmmm6THH3fWBayulj76KPH7dUmJ9MknzjTmNWucDqtf/EI6/XRp+HDnvDfd5HS9zZ0rHXSQlJPjXH/WLGnRIunHP3amaD73nLR1qxOedcVvf1YGcx3x7qhOp/Wx5hTgLmttyn3k5eXZvnrmmWf6fI7euvdea/PyrHUai52PvDxnO3V4Vwf8xy9jgzr8V4cfakhUhzHW3nZbcuvwgw8/tLaoqO33wk8/F8Yodfi9jszMwfdvn4YGa2fOTPy+EY1a+9Zb1j7yiLU33GDtJZdYe/zx1o4ZY216esdjDjnE2vnzrb3iCmtvv93alSutff995zr70pex0dho7ebN1j77rLXLlll79dXWnnuu87WNHOn8vdD6vNnZ1h50kLVz5zpf0y9+Ye2DD1r72mvW3nGHf8foYKzj+Q+ft1oi++TGJ621e3+H/Mnff2K1RLa2vjY5hSAleJkxuElSzHqQ8xjn2qklEAjYWCzWp3OUlZVp9uzZ7hTUQ6NHd353o9xc5y5IybJihdOqTB3wK7+MDerwXx1+qKGrOkpKpA8+SF4dfjFqlLRlS8ftfvm5MEapw+91DMb3jpISp3OpvbS0jh1Gw4c7a/iNHet8xD//j/9wuqL62nG2fLkzrfKjj6wOPNDoZz9zFm/vq7o659/+77/f9uPf/3Yed+7c9zmys527HVrrfF9aP7q1rfXnO3Z03uGVlibtt1/bbe2/762fd/Vad46tqHDWY2svWX9WHt7wsE5/8HSt+9o6TQ5Pbvkd8s437tTFj1+sD7/zoQ4cemD/F4KU4GXG4CZjTLW1NpDs67LmlAc6+wtYcv6R8u67yaujs38UDeY64D9+GRvU4b86/FCdU62LAAAgAElEQVRDV3Ukep8f6LZu7Xy7X34ujFHq8Hsdg/G9Y/Pmzrc3NUk/+9neIGrs2I6hiNvOOsv5KCv7u6u/YGZnO9P9Djqo89c//XRvYDV/fuf71NU50xWNcT7S0jp+3pdt7V+//fbO62hqks48c+/z1n0O7Xseunre3X3vvLPzOpL1ZyU+da+zaX3x1wmnAHcQTnngwAM775wqKZHWr09eHYk6uAZrHfAfv4wN6vBfHX6ooas6Dhyk/07l7zd/1UAdqVfHYHzv6Op94wc/SH49XhgyRJo82fkoKUn8/Vi5Mnk1PfFE4jpuuSV5daxc6e2flUg0ojSTpsK8wjbb4+EUd+wD3MOC6B742c+c//loLS/P2U4d3tUB//HL2KAO/9Xhhxr8VIdf+OX74Yc6/FADdVBHKuB70ZZfvh/U4YhEIxoRGKH0tPQ224sCRS2vA3CJFwtd9fUj1RdEt9ZZxK+kxFkgsaTEuwUw/VdHk6d1wH/8Mjb892eFOhgb/uSX74cfxof/vhfU0bYO3jv8wm/fC35P8F8dGRnOqljJruOk+06ypbeXtjyPj43a+lqrJbLXlF2TvGLge16/d7hFLIjefam+IDoS4+eCRBgbSISxga4wPpAIYwOJMDb85/Ofl4YOlf72t+Red9rvpqkwr1BPnPWEpLZjo+D6Ap35uTP12xN/m9yi4FsD5b3DqwXRmdYHAAAAAPCtUEjavj35141EIx0WQ48LB8OKxJjWB7iFcAoAAAAA4FuFhckPp5pskyqiFQoHEodTLIgOuIdwCgAAAADgW/HOqWSuSLOrZpfqm+q77pxiQXTANYRTAAAAAADfCoWkujopGk3eNcuj5ZKUMJwqChQRTgEuIpwCAAAAAPhWKOQ8JnNqXzx46qpzKlYfU3RPEhMzYAAjnAIAAAAA+JZfw6nW+wHoG8IpAAAAAIBvEU4BAx/hFAAAAADAt7wKp3IycjQke0inr8fDKe7YB7iDcAoAAAAA4FtehVPhYFjGmE5fp3MKcBfhFAAAAADAtwIBKScn+eFUcbA44esFuQVKM2mEU4BLCKcAAAAAAL5ljNM95UXnVCLpaekaERhBOAW4hHAKAAAAAOBrfgunJGdqXyRGOAW4gXAKAAAAAOBryQyn9jTuUWVNZffCKTqnAFcQTgEAAAAAfC2Z4dS22DZJ6lY4xd36AHe4Fk4ZY+YZY94zxmwyxlzZyeuXG2M2GGPeMsasMsaUNG8vNca8ZIx5u/m1BW7VBAAAAABIfckMp+LdUPsKp4oCRYpEI7LWJqMsYEBzJZwyxqRL+q2kEyRNkLTQGDOh3W5rJR1mrZ0k6SFJ1zdvr5Z0rrX2c5LmSbrJGDPMjboAAAAAAKkvFJJiMammpv+v1d1wKhwMq76pXrtqd/V/UcAA51bn1OGSNllr/22t3SPpfklfar2DtfYZa21189OXJY1s3v5Pa+3G5s8/lrRNUsilugAAAAAAKS7U/BtiMrqnehJOtd4fQO+5FU4dIGlzq+dbmrclcqGkJ9pvNMYcLilL0r9cqgsAAAAAkOK8CKeKAkVd7kc4BbgnI9kXNMacLekwSbPabS+W9AdJ51lrmzo5brGkxZKUkZGhsrKyPtURjUb7fA64j58LEmFsIBHGBrrC+EAijA0kwtjwp82bh0iaqlWr3lJV1c5+vdbrG19Xfka+Xnr+pTbb24+Nj6o/kiStfnW10j7kXmODHe8dfeNWOLVV0qhWz0c2b2vDGHO8pB9KmmWtrWu1fYikv0r6obX25c4uYK1dKmmpJAUCATt79uw+FVxWVqa+ngPu4+eCRBgbSISxga4wPpAIYwOJMDb86YDmeTnFxZPU3z+eW7bdopF7RnYYB+3Hxu7a3dIaqeDAAs0+op+Lgu/x3tE3bsW7aySNM8aMMcZkSTpT0mOtdzDGTJF0h6RTrLXbWm3PkvSIpHustQ+5VA8AAAAAYIBI5rS+8mj5PtebkqSh2UOVlZ7FtD7ABa6EU9baBkmXSvqbpHck/cla+7Yx5hpjzCnNu90gKSjpQWPMOmNMPLw6Q9LRkhY1b19njCl1oy4AAAAAQOobOlTKzEzemlPdCaeMMQoHw4rECKeAvnJtzSlr7QpJK9ptu6rV58cnOO5eSfe6VQcAAAAAYGAxRios7P9wylrb7XBKchZFp3MK6DtWbQMAAAAA+F4o1P/hVHRPVNX11YRTQJIRTgEAAAAAfC8Z4VQ8aOp2OBUgnALcQDgFAAAAAPA9X4ZTwbB2VO9QY1Njf5YFDHiEUwAAAAAA3wuFpB07+vca8XCqOFjcrf2LgkVqsk3aXp2EldqBAYxwCgAAAADge4WF0u7dUn19/12jN51TrY8D0DuEUwAAAAAA3wuFnMf+7J6KRCNKN+kqyCvo1v6EU4A7CKcAAAAAAL4XD6f6c92pSDSiomCR0kz3flUmnALcQTgFAAAAAPC9pIRTsUi3p/RJUlGgSJJUEa3or5KAQYFwCgAAAADge8nqnOpJOBXICig/K5/OKaCPCKcAAAAAAL6XtHAq0P1wSnLu2BeJEU4BfUE4BQAAAADwveHDJWP6L5xqsk2qiFb0qHNKctadonMK6BvCKQAAAACA76WnSwUF/RdOVVZXqtE2Ek4BHiCcAgAAAACkhFCo/8KpeMDU43AqQDgF9BXhFAAAAAAgJfgynAqGtbt2t+oa6vqjLGBQIJwCAAAAAKSE/gynyqPlknoXTklSRazC9ZqAwYJwCgAAAACQEvzYOVUULGpzPICeI5wCAAAAAKSEUEiqrJQaG90/dyQaUV5mnoJZwR4dFw+zCKeA3iOcAgAAAACkhFBIslbaudP9c0eiEYWDYRljenQc4RTQd4RTAAAAAICUEAo5j/0xtS8eTvXUiMCIluMB9A7hFAAAAAAgJfR3OFUcLO7xcVnpWSrILVBFlAXRgd4inAIAAAAApAQ/dk5JzqLokRidU0BvEU4BAAAAAFJCf4VTdQ112lW7q9fhVDgYZlof0AeEUwAAAACAlFBY6Dy6HU5VxJwpeYRTgDcIpwAAAAAAKSEzUxo2zP1wKh4s9TqcCjjhlLXWzbKAQYNwCgAAAACQMkIhH4ZTwbCq66sV3RN1syxg0CCcAgAAAACkDL+GU9Le6YEAeoZwCgAAAACQMvoznBoRGNGr44uCRW3OA6BnCKcAAAAAACmjv8KpgtwCZaVn9er4eOcU4RTQO4RTAAAAAICUEQpJO3ZIbq49HolGej2lTyKcAvqKcAoAAAAAkDJCIamhQdq9271z9jWcKsgtULpJJ5wCeolwCgAAAACQMgoLnccdO9w7Z1/DqfS0dI0IjCCcAnqJcAoAAAAAkDJCIefRrXWnrLUqj5b3KZySnKl93K0P6B3CKQAAAABAynA7nPq07lPVNtT2OZwqChbROQX0EuEUAAAAACBluB1OxQMlNzqnCKeA3iGcAgAAAACkDN+GU4GwKqIVarJNbpQFDCqEUwAAAACAlJGbKwUC7odTxcHiPp0nHAyrvqleu2p2uVEWMKgQTgEAAAAAUkoo5MPOqebjWRQd6DnCKQAAAABASnE7nMpMy9R+ufv16TzxcIp1p4CeI5wCAAAAAKQUV8OpWERFwSKlmb79elwULHLORzgF9BjhFAAAAAAgpbjdOdXXKX0SnVNAXxBOAQAAAABSSjycsrbv53IrnBqaPVTZ6dmEU0AvEE4BAAAAAFJKKCTV1kqxWN/PFYlGFA70PZwyxigcDBNOAb1AOAUAAAAASCmhkPPY16l9jU2N2hbb5krnlORM7eNufUDPEU4BAAAAAFKKW+HUjuodarJNroVTRcEiOqeAXiCcAgAAAACkFLfCqXiQ5FrnVIBpfUBvEE4BAAAAAFKKb8OpYFjbY9vV0NTgyvmAwYJwCgAAAACQUvwcTllZbY/1sTBgkCGcAgAAAACklGBQys52L5wqCha5UNXekIupfUDPEE4BAAAAAFKKMU73VF/DqfJouYJZQQWzgq7UFQ+nuGMf0DOEUwAAAACAlONGOBWJRlyb0ift7cCicwroGcIpAAAAAEDK8WU4FSCcAnqDcAoAAAAAkHLcCqeKg8XuFCQpkBVQflY+4RTQQ4RTAAAAAICU48fOKclZd4pwCugZwikAAAAAQMoJhaRoVKqt7d3xNfU1+qTuE8IpwAcIpwAAAAAAKScUch572z0Vv6Nef4RT3K0P6BnCKQAAAABAyiksdB57G07Fu5vcDqeKAkV0TgE9RDgFAAAAAEg5fe2c6q9wKhwMa3ftbtU29HK+ITAIEU4BAAAAAFKOn8MpSaqIMrUP6C7CKQAAAABAyomHUzt29O74SDQiI6NQXsi9orQ3nGJqHwYqY8zdxphtxpj1CV6fbYz5xBizrvnjqn2dM8P9MgEAAAAA6F/Dhknp6X3rnCrMK1RmeqardRFOYRBYJukWSfd0sc9z1tqTuntCOqcAAAAAACknLc1ZFL0v4ZTbU/qkVtP6uGMfBihr7bOSdrp5TsIpAAAAAEBKCoX8F06NCIxoOT8wiB1hjHnTGPOEMeZz+9qZaX0AAAAAgJTU13DqoIKD3C1IUmZ6pgpyCwinkKoyjDGvtXq+1Fq7tIfneENSibU2aoz5oqRHJY3r8qI9vAAAAAAAAL4QCknr1vX8OGttv3VOSc7UPsIppKgGa+1hfTmBtfbTVp+vMMbcaowptNYmvH2Ba9P6jDHzjDHvGWM2GWOu7OT1y40xG4wxbxljVhljSlq99qQxZrcx5i9u1QMAAAAAGNh62zn1Sd0nqmusI5wC+oExJmyMMc2fHy4ne6rs6hhXwiljTLqk30o6QdIESQuNMRPa7bZW0mHW2kmSHpJ0favXbpB0jhu1AAAAAAAGh1BI2rVLqq/v2XHx4Kg/wykWRMdAZYz5o6SXJI03xmwxxlxojLnEGHNJ8y6nS1pvjHlT0m8knWmttV2d061pfYdL2mSt/XdzofdL+pKkDfEdrLXPtNr/ZUlnt3ptlTFmtku1AAAAAAAGgVDIeayslMI9yJnKq8ol9V84VRQoUiQakbVWzQ0kwIBhrV24j9dvkXRLT87p1rS+AyRtbvV8S/O2RC6U9IRL1wYAAAAADELxcKqnU/uS0TlVXV+t6J5ov5wfGGiSviC6MeZsSYdJmtXD4xZLWixJGRkZKisr61Md0Wi0z+eA+/i5IBHGBhJhbKArjA8kwthAIoyN1LJ16zBJpVq5cp0qK3d3+7jntzwvSfrXun9pW+a2bh3Tk7Gxq2KXJOnPq/6skXkju10XUhfvHX3jVji1VdKoVs9HNm9rwxhzvKQfSpplra3ryQWab124VJICgYCdPXt2r4uVpLKyMvX1HHAfPxckwthAIowNdIXxgUQYG0iEsZFa4p1TBxxQqp782J5Y+YSyPsjSScef1O1pdz0ZG/X/qtfP3/25Sj5XopklM7tfGFIW7x1949a0vjWSxhljxhhjsiSdKemx1jsYY6ZIukPSKdba7kXTAAAAAAAk0OtpfbGIwsFwv60HFZ8uyB37gO5xJZyy1jZIulTS3yS9I+lP1tq3jTHXGGNOad7tBklBSQ8aY9YZY1rCK2PMc5IelHRc80rvc92oCwAAAAAwcBUUSMb0bs2p/lpvStobTnHHPqB7XFtzylq7QtKKdtuuavX58V0cS58jAAAAAKBH0tOl4cN7F06NHja6X2qSpIK8AqWbdDqngG5ya1ofAAAAAABJFwr1snMq0H+dU2kmTSMCIwingG4inAIAAAAApKyehlMNTQ3aHtver9P6JGdqH+EU0D2EUwAAAACAlNXTcGp7bLusLOEU4COEUwAAAACAlNXTcCoeGBFOAf5BOAUAAAAASFmhkFRZKTU1dW//ZIZT22Lb1GS7WRgwiBFOAQAAAABSVijkBFM7d3Zv/2SFU0WBItU31WtXza5+vQ4wEBBOAQAAAABSVijkPHZ3al88nCoKFvVTRY54+MXUPmDfCKcAAAAAACmrN+HUkOwhysvM67+iRDgF9AThFAAAAAAgZRUWOo/dDqdikX6f0icRTgE9QTgFAAAAAEhZvemcIpwC/IVwCgAAAACQsnraOVVeVZ6UcGpI9hDlZOSoIlbR79cCUh3hFAAAAAAgZWVnS0OG9KxzqjhY3L9FSTLGqChQROcU0A2EUwAAAACAlBYKSTt27Hu/2J6YqvZUJaVzSnKm9hFOAftGOAUAAAAASGmhUPc6p+JT7AinAH8hnAIAAAAApLTuhlPxoIhwCvAXwikAAAAAQErzczi1o3qHGpoaknI9IFURTgEAAAAAUlo8nLK26/28CKesrLbHurlaOzBIEU4BAAAAAFJaKCTV10ufftr1fpFoRGkmTaG8UFLqKgoUtVwXQGKEUwAAAACAlBZqzpr2NbUvEo0olBdSelp6/xelvR1ahFNA1winAAAAAAAprSfhVLKm9EmEU0B3EU4BAAAAAFKaX8OpoiDT+oDuIJwCAAAAAKQ0v4ZTeZl5GpI9RBWxiqRdE0hFhFMAAAAAgJTWnXDKWpv0cEpyFkWncwroGuEUAAAAACCl5eU5H12FU7tqd6m+qT7p4VQ4GCacAvaBcAoAAAAAkPJCoa7DqXhARDgF+A/hFAAAAAAg5RFOAamLcAoAAAAAkPL8HE59UveJahtqk3pdIJUQTgEAAAAAUt6+wqnyqnJJUnGwOEkVOeJhWEWUO/YBiRBOAQAAAABSXnc6p3IycjQke0jyipJzt7749QF0jnAKAAAAAJDyQiGppkaKxTp/PRKLKBwMyxiT1LrinVOEU0BihFMAAAAAgJQXCjmPibqnItFI0tebkgingO4gnAIAAAAApDy/hlMjAiNarg+gc4RTAAAAAICU161wKpD8cCozPVOFeYWEU0AXCKcAAAAAACmvq3CqvrFeO6p3eNI5JTlT+ypi3K0PSIRwCgAAAACQ8goLncfOwqltsW2S5Fk4VRQoonMK6ALhFAAAAAAg5Q0ZImVmdh5OxYMhLzunCKeAxAinAAAAAAApzxhnap+fwylrrSfXB/yOcAoAAAAAMCD4OZyqaahR1Z4qT64P+B3hFAAAAABgQNhXOFUULEpyRY54KMbUPqBzhFMAAAAAgAEhFJJ27Oi4PRKNaFjOMOVk5CS/KO0Npyqi3LEP6AzhFAAAAABgQEjYORWLeDalT3Lu1ifROQUkQjgFAAAAABgQQiHp00+lurq22yNRb8MppvUBXSOcAgAAAAAMCKGQ89h+ap/X4VRBXoHSTTrhFJAA4RQAAAAAYECIh1Ptp/ZFohEVB4uTX1CzNJOmomAR4RSQAOEUAAAAAGBA6Cyciu6JKron6mnnlORM7YvECKeAzhBOAQAAAAAGhM7CqXi3ktfhVFGgiLv1AQkQTgEAAAAABgQ/h1PhYJhpfUAChFMAAAAAgAFhv/2k9HT/hlMVsQo12SZP6wD8iHAKAAAAADAgpKVJBQX+Dacamhq0s2anp3UAfkQ4BQAAAAAYMEKhjuFUuklXQW6Bd0VpbzjG1D6gI8IpAAAAAMCA0Vk4NSIwQulp6d4Vpb3hFIuiAx0RTgEAAAAABozOwimvp/RJzt36JDqngM4QTgEAAAAABgy/hlNM6wMSI5wCAAAAAAwYoZC0c6fU0OA890s4NSR7iHIycgingE4QTgEAAAAABoxQyHmsrJSabJMqYhW+CKeMMQoHw4rECKeA9jK8LgAAAAAAALfEw6nt26X0/J1qaGrwRTglOVP76JwCOqJzCgAAAAAwYLQOp+JBkJ/CKe7WB3REOAUAAAAAGDD8HE4VBYronAI6wbQ+AAAAAMCA0Tqc2uOzcCocDGtH9Q7VN9YrMz3T63IA36BzCgAAAAAwYAwf7jz6sXMqHAzLymp79XavSwF8hXAKAAAAADBgZGZK++23N5zKy8xTfla+12VJ2huSMbUPaItpfQAAAACAASUUcsKprGhE4WBYxhivS5JEOAUkQjgFAAAAABhQ4uFUWrTcN1P6pL3hFHfsA9piWh8AAAAAYECJh1OR5s4pvygKFEmicwpoz7VwyhgzzxjznjFmkzHmyk5ev9wYs8EY85YxZpUxpqTVa+cZYzY2f5znVk0AAAAAgMGnTTgV8E84lZuZqyHZQwingHZcCaeMMemSfivpBEkTJC00xkxot9taSYdZaydJekjS9c3HDpd0taTpkg6XdLUxZj836gIAAAAADD6hkLRjd5121uz0VeeU5Ezti8QIp4DW3OqcOlzSJmvtv621eyTdL+lLrXew1j5jra1ufvqypJHNn8+VtNJau9Nau0vSSknzXKoLAAAAADDIhEJSU842SfJnOEXnFNCGW+HUAZI2t3q+pXlbIhdKeqKXxwIAAAAAkFAoJCnoBECEU4D/Jf1ufcaYsyUdJmlWD49bLGmxJGVkZKisrKxPdUSj0T6fA+7j54JEGBtIhLGBrjA+kAhjA4kwNgaGjz/eryWc2vreVpWVl/X5nG6Njfrd9dq6eyvjbIDhvaNv3Aqntkoa1er5yOZtbRhjjpf0Q0mzrLV1rY6d3e7YsvbHWmuXSloqSYFAwM6ePbv9Lj1SVlamvp4D7uPngkQYG0iEsYGuMD6QCGMDiTA2BoahQyXd/6ok6cRZJ2rU0FFdH9ANbo2NF9Nf1CNbH9H0I6crNzO3z+eDP/De0TduTetbI2mcMWaMMSZL0pmSHmu9gzFmiqQ7JJ1ird3W6qW/SZpjjNmveSH0Oc3bAAAAAADosdbT+kYERnhbTDvxaYYVsQqPKwH8w5VwylrbIOlSOaHSO5L+ZK192xhzjTHmlObdbpAUlPSgMWadMeax5mN3SvqJnIBrjaRrmrcBAAAAANBj8XAqV8OVnZHtdTltxMMp1p0C9nJtzSlr7QpJK9ptu6rV58d3cezdku52qxYAAAAAwOCVnS1lDIsot9Ffi6FLhFNAZ9ya1gcAAAAAgG+kD4sos45wCkgFhFMAAAAAgIEnGJGJ+S+cCuWFJEkVUdacAuIIpwAAAAAAA4q1Vg3ZETV+4r9wKjM9U4V5hXROAa0QTgEAAAAA2rDWat698/TA+ge8LqVXonuiakyvVt2OYq9L6VQ4GFYkRjgFxBFOAQAAAADa+OiTj/S3f/1Ny/+x3OtSeiXelRSrCMtaj4vpRDgYpnMKaIVwCgAAAADQxtrIWknSi5tflPVjurMP8eCn8ZOwqqo8LqYThFNAW4RTAAAAAIA21pY74VRlTaU27tzocTU9Vx4tdz6JhrV9u7e1dCYcCKsiWpGSwR/QHwinAAAAAABtvBF5Q8GsoCSneyrVtHQl+TScKgoWqaahRlV7fNjWBXiAcAoAAAAA0Mba8rU6+aCTNSxnmF7a/JLX5fRYJBpRusmQaob7MpwKB527CDK1D3AQTgEAAAAAWmyPbdfWqq06tPhQfX7k5/XiltTsnArlFkk2jXAKSAGEUwAAAACAFvHF0KcUT9GMkTP09ra3tbt2t8dV9UwkGlFxvhMAEU4B/kc4BQAAAABoEV8MvTRcqhmjZsjK6pUtr3hcVc9EohHtPySs3FzCKSAVEE4BAAAAAFqsjaxVydASDc8drsMPOFxpJi3lFkWPRCMKB8MqLPRnODU8d7gy0jJUEa3wuhTAFwinAAAAAAAt3ih/Q1OKp0iS8rPzdciIQ/TSltRZFL2xqVHbYtsUDoYVCvkznEozaRoRGEHnFNCMcAoAAAAAIEmqqqvSxp0bNTU8tWXbjFEz9PKWl9XY1OhhZd1XWVOpRtvo63BKcqb2RWKEU4BEOAUAAAAAaPZmxZuS1NI5JTnhVNWeKr29/W2vyuqReDdSSoRTdE4BkginAAAAAADN4ouhTwm3Dackpcy6UykTTgUIp4A4wikAAAAAgCRnMfRQXkj75+/fsm3MsDEqChSlzLpT7cOp6mrnw2/CwbAqohVqsk1elwJ4jnAKAAAAACBp72LoxpiWbcYYHTHqiJTtnJL82T1VFCxSo23UzpqdXpcCeI5wCgAAAACguoY6vb397TZT+uJmjJyhTTs3aVtsmweV9UwkGlEwK6hgVtDX4VQ4GJYkpvYBIpwCAAAAAEh6e/vbamhq0NTiqR1ei6879dJm/0/ti0QjLcFPPJzascPDghIgnEKqMsbcbYzZZoxZn+B1Y4z5jTFmkzHmLWNMxzeVdginAAAAAACdLoYed+j+hyozLTMlpvZ1Fk7ROQW4apmkeV28foKkcc0fiyXdtq8TEk4BAAAAALQ2slb5WfkaO3xsh9dyMnJ06P6HpsSi6IRTQP+y1j4rqavF0r4k6R7reFnSMGNMcVfnJJwCAAAAAGhtZK0mhycrzXT+a+IRI4/Qmo/XaE/jniRX1jPl0XKFA07wM3SolJnpz3AqPytfuRm5hFPwmwxjzGutPhb34hwHSNrc6vmW5m0JEU4BAAAAwCDX2NSodZF1nU7pi5sxaoZqG2q1LrIuiZX1TG1DrXbX7m7pSjJGKiz0ZzhljFFRsEgVsQqvSwFaa7DWHtbqY2kyLko4BQAAAACD3MadG1VdX73PcEqSr9edqog6QU88nJKcqX1+DKckp046pzAAbZU0qtXzkc3bEiKcAgAAAIBBLr4Yemd36ovbP39/lQwt8XU4FQ96CKcATz0m6dzmu/Z9XtIn1tryrg4gnAIAAACAQW5tZK2y0rM0ITShy/1mjJrh60XRUy6cChBOIfUYY/4o6SVJ440xW4wxFxpjLjHGXNK8ywpJ/5a0SdLvJH1jX+fM6LdqAQAAAAApYW1krSaOmKjM9Mwu9zti5BH64/o/avMnmzVq6Kgu9/VCyoVTwbB2VO9QfWP9Pr/3gF9Yaxfu43Ur6Zs9OSedUwAAAAAwiFlrtbZ8bZfrTcX5fd2peDg1IjCiZVsoJH3yibTHhzcZjIdo22LbPK4E8BbhFAAAAAAMYps/3azKmspuhVOTiiYpLzPP1+FUYV5hmy6kUMh53LHDo6K6UBQskiTu2IdBj3Dq/7N37x9Sc4sAACAASURBVOFRlefex78r5yMBkpAEEg4KCXIOCJLxANgDVstoK7q12N2yq1gV3ra2td2v3bu23fa0+27bDVJLW6ttsWpSraBYqDVRazhnQAFNCBJIIAMkkYQk5LzeP4ax4RDIYc2smczvc11ckZk1z3NjVvHKr899LxERERERkRDWm2HoXpHhkcwZNYfiqgANp5rcZ7X0wT/DqUBs7fPWqrlTEuoUTomIiIiIiIQwl9uFgcG0tGm9uj4vM49d7l00tzf7uLK+czcqnBIJRgqnREREREREQpjL7SInJYf4qPheXe/IctDR1cGOozt8XFnfBVs4lRbvaetTOCWhTuGUiIiIiIhICOvtMHSvuZlzgcAbim6apiecig+ecCo2Mpak6CSFUxLyFE6JiIiIiIiEqJrmGiobKvsUTqXEpZCTnBNw4VRDawMtHS1kJGac9frw4RAWFpjhFHha+zQQXUKdwikREREREZEQ5R2GnpvR+3AKPK19m6s2Y5qmL8rqF+/po3Pb+sLCIDk5cMOptIQ0nZySkKdwSkREREREJES53GfCqT6cnALPUPSa5hrK68p9UVa/9BROgae1L1DDqfSEdIVTEvIUTomIiIiIiIQol9vF6KTRJMcl9+lzjiwHEFhzpy4WTqWkBHA4Fa9wSkThlIiIiIiISIjq6zB0rytSryApOilowqlAPznV0NpAc3uz3aWI2EbhlIiIiIiISAhqbGukrLasX+FUmBFGXlYexVWBE05VN1YTGRbJsJhh570X6OEUwLFGDUWX0KVwSkREREREJATtdu/GxOzzMHQvR6aDvcf3Ut9Sb3Fl/eNudJOekI5hGOe9l5oKdXXQ2WlDYZfwUTilJ/ZJCFM4JSIiIiIiEoK8w9BnZszs1+fzsvIwMdl6ZKuVZfWbN5y6kNRUME2orfVzUb2QlpAGoLlTEtIUTomIiIiIiIQgV7WLlLgURiWO6tfn54yaQ5gRFjBzpy4VTkFgtvZ5a1Y4JaFM4ZSIiIiIiEgIcrk9w9Av1AbXG0OihzB1xFSFUwOUGpeKgaFwSkKawikREREREZEQ09bZxp7je/o1DL07R5aDLVVb6Oyyd5hTZ1cnJ5pPBGU4FRkeSUpcisIpCWkKp0RERERERELMvhP7aO9q7/cwdC9HloNTbafYe2KvRZX1z4nmE3SZXUEZToGntU/hlIQyhVMiIiIiIiIhpqS6BGDAJ6fyMvMA2Fy5ecA1DYQ32OkpnEpJ8XytqfFXRX2TlpCmp/VJSFM4JSIiIiIiEmJc1S4SohKYkDxhQOtcNuwyRsSPoLjK3rlTlwqnIiNh6FCdnBIJVAqnREREREREQozL7WJ62nTCjIH9SGgYBo4sh+1D0S8VToGntS9gw6l4TzhlmqbdpYjYQuGUiIiIiIhICOkyu9h9bPeAW/q8HJkOyuvKOd503JL1+sMbTqXFp/V4TUCHUwnptHS00NDaYHcpIrZQOCUiIiIiIhJCyuvKaWxrHPAwdC9HlgOwd+6Uu9FNYlQi8VHxPV4T6OEUoNY+CVkKp0REREREREKIq9oFDHwYuteskbOIDItkc5W94VRGYsZFr1E4JRK4FE6JiIiIiIiEkJLqEiLDIpk8YrIl68VExDAzY6atc6fcje6LzpsCTzhVUwOBONYpLcHTjqgn9kmoUjglIiIiIiISQlxuF1NGTCEqPMqyNR1ZDrYf3U5bZ5tla/ZFb8Opjg44edJPRfWBTk5JqFM4JSIiIiIiEiJM08TldlnW0uflyHLQ0tHCLvcuS9ftLXejm/T4S4dTEJitfcNjhxMRFqFwSkKWwikREREREZEQceTUEWqaaywbhu5l51D00+2nqW+t79XJKQjMcCrMCCMtPk3hlIQshVMiIiIiIiIhwuph6F4jE0cyOmk0xVX+nzvlDXSCOZwCT/0KpyRUKZwSEREREREJESXVJRgYTE+fbvnajiyHLUPRFU6JBD+FUyIiIiIiIiHC5XaRnZxNQlSC5Ws7Mh1UNVRRWV9p+doXM1jCqbT4ND2tT0KWwikREREREZEQ4XK7LJ835eWdO+Xv01O9DadiYiAhIXDDqfSEdI41HqPL7LK7FBG/UzglIiIiIiISAmqbazlcf9jyeVNe09KmERcZx+Yq/w5Fdze6MTBIjU+95LWpqYEdTnWandQ219pdiojfKZwSEREREREJAbvcuwDrh6F7RYZHMnvkbFtOTqXGpxIRFnHJawM9nAI0d0pCksIpERERERGREOByn3lSn4/a+sDT2udyu2hub/bZHudyN7kv2dLnlZKicEokEFkWThmGcYNhGKWGYZQbhvHtC7x/nWEYJYZhdBiGsfic935iGMaeM7/+xaqaRERERERExKOkuoTMIZmkxKX4bA9HloOOrg52HN3hsz3O5W7sfTgVDCenNBRdQpEl4ZRhGOHA48CngEnAnYZhTDrnssPAF4FnzvnsTcBMYAZwFfANwzCGWFGXiIiIiIiIeLjcLmZmzPTpHnMz5wL+HYren3DKNH1cVD+kJaQBOjklocmqk1NzgHLTND8wTbMNeBa4ufsFpmlWmKb5DnDuowcmAW+aptlhmmYT8A5wg0V1iYiIiIiIhLymtiZKa0p9Nm/KKyUuhZzkHL8NRTdN0xNOxfc+nGpthcZGHxfWD4lRicRGxCqckpBkVTg1Cqjs9vuqM6/1xm7gBsMw4gzDSAEWAFkW1SUiIiIiIhLy3jn2Diamz8MpgLysPIorizH9cDzpZMtJ2jrb+nRyCgKztc8wDNIT0hVOSUi69OMMfMw0zU2GYcwGioETwGag89zrDMNYBiwDiIiIoKioaED7NjY2DngNsZ6+L9IT3RvSE90bcjG6P6QnujekJ4P13vjLkb8A0FLRQpG7yKd7JTcnU9Ncw9pX15IZl+nTvQ41HQLgw8oPKWotuuT1bncyMJW//nUnkyad6tNe/rg34rrieK/yvUF5Dw52g/XvDn+xKpw6wtmnnTLPvNYrpmk+CjwKYBjGM0DZBa5ZA6wBiI+PN+fPnz+AcqGoqIiBriHW0/dFeqJ7Q3qie0MuRveH9ET3hvRksN4ba9etZXjscG5feDuGYfh0r9Tjqfy/sv9H58hO5s+Y79O9Cg8Wwg64fs71zB976b1iYz1fR4+eRV+/zf64N7KPZVNWWzYo78HBbrD+3eEvVrX1bQcmGIYxzjCMKOAOYF1vPmgYRrhhGMln/nkaMA3YZFFdIiIiIiIiIa/EXcLMjJk+D6YArki9gqToJL8MRfe2wA2Gtj6AtPg0Pa1PQpIl4ZRpmh3AcmAj8B7wvGmaew3D+L5hGE4AwzBmG4ZRBdwG/MowjL1nPh4JvGUYxj48J6PuOrOeiIiIiIiIDFB7Zzt7ju/xy7wpgDAjjLysPL8MRR9s4VR6Qjo1zTW0d7bbXYqIX1k2c8o0zQ3AhnNe+89u/7wdT7vfuZ9rwfPEPhEREREREbHYvhP7aOts81s4BZCXmccjRY9Q31JPUkySz/ZxN7qJDo8mKbp3eyQkQHR0YIdTAMebjjNqSG+fMSYS/Kxq6xMREREREZEA5HK7AMjN8F845chyYGKy9chWn+7jbnKTnpDe63ZFw/Ccngr0cEpP7JNQo3BKRERERERkEHNVu4iLjGPC8Al+23POqDmEGWE+nzvlbnT3uqXPKzUVamp8VNAAKZySUKVwSkREREREZBArcZcwPW064WHhfttzSPQQpo6Y6vNwqvpUdb/CKZ2cEgksCqdEREREREQGqS6zi13uXczMmOn3vfMy89h6ZCudXZ0+26O/J6cCNZxKS0gDCPgn9tU21ypAE0spnBIRERERERmkDtQdoLGt0a/D0L0cWQ4aWhvYd2KfT9Zv72ynprlmUIVTMRExJEUnBXzw8+k/fZopq6dwuP6w3aXIIKFwSkREREREZJCyYxi6lyPLAeCz1r4TzScwMfsVTjU2QkuLT8oasPSE9IAOp7ZWbWVL1RZqT9dye/7ttHW22V2SDAIKp0RERERERAYpV7WLiLAIJqdO9vvelw27jBHxIyiu8k045Q1w+hNOQeCengr0cGrV9lUkRiXy1M1PsfXIVr6+8et2lySDgMIpERERERGRQcrldjE5dTLREdF+39swDBxZDp+dnFI45X/HGo/x3J7nWDpjKV+Y8QUenPsgq7av4tk9z9pdmm3WroWxY+H66+cxdqzn99J3CqdEREREREQGIdM0KakusaWlzysvM4/yunJONFmfBCmc8r81O9fQ3tXOA3MeAODHH/8x14y+hrvX3e2z2WKBbO1aWLYMDh0C0zQ4dMjzewVUfadwSkREREREZBA6euooJ5pPMDPd/0/q8/LOndpctdnytb0BTlp8Wp8+F+jhVFp8GqfaTtHc3mx3KWdp72zniZ1PsPDyhWQnZwMQGR7Jc4ufIz4qnsXPL6axrdHmKv3r29+G5nO+Tc3N8PDD9tQTzBROiYiIiIiIDEJ2DkP3mpUxi8iwSJ+09rkb3SRFJxEbGdunzwV6OOU9CXas8ZjNlZztxfdf5Oipo6yYs+Ks10cmjuTZW5+ltLaUe9bfg2maNlXoPy0t8JOfQFXVhd8/rIcY9pnCKRERERERkUHIVe3CwGB62nTbaoiNjGVmxkyfhVMZiRl9/tzQoRAREfjhVKC19q3ctpLLhl3GDeNvOO+9BeMW8F8L/otn9zzL49sft6E6/zBNeO45mDjRc2oqtodcdPRo/9Y1GCicEhERERERGYRcbhfjh48nMTrR1jocWQ62H91OW2ebpeu6G919njcFYBiQkqJwqi92uXfxj8P/4IHZDxAeFn7Ba751zbf4dPaneXDjg2yp2uLnCn1vyxa4+mq44w5ISoLXXoNf/xri4s6+Li4OHn3UnhqDmcIpERERERGRQcjldtna0ueVl5lHS0cLu927LV23v+EUeFr7FE713qptq4iLjGPpjKU9XhNmhPH7W35P5pBMbs+/nZrmGj9W6DuHDsHnPgd5eXDwIPzmN1BSAh/7GCxZAmvWwJgxYBgmY8Z4fr9kid1VBx+FUyIiIiIiIoNM3ek6Kk5W2DoM3SsvKw/A8tY+d6Ob9PjBF06lxqdiYARMOFXbXMvad9dy19S7GBY77KLXDosdRsHtBRxvOs6SF5bQ2dXppyqt19AA//f/Qk4OvPgifOc7UFYGX/oShHc7PLZkCVRUwOuvv0FFhYKp/lI4JSIiIiIiMsjscu8C7B2G7pU5JJPRSaMprrIunGpqa+JU26lBeXIqIiyClLgUjjUFxkD0J11P0tLRwvI5y3t1/cyMmaz81Eo2HdjED978gY+rs15Hh+f004QJ8KMfwW23eUKpH/wAEu3tkB3UFE6JiIiIiIgMMq7qM0/qS7c/nALP3CkrT055g5v+hlOBPHMKPH+uQDg51dnVyeodq5k3Zh5T06b2+nN3z7ybL0z/At9/4/v8tfyvPqzQWps2QW4u3HsvZGfDtm3whz9AVpbdlQ1+CqdERERERMRW7Z3t7K/db3cZg4rL7WJU4ihS41PtLgUAR6aDqoYqKusrLVnPG9wM5OTUyZPQ3m5JOZYLlHDq5bKXqThZwYo5K/r0OcMwWH3TaqamTWXJC0s4dPKQjyq0xr59cOONsHAhNDdDQQG8+SbMnm13ZaFD4ZSIiIiIiNjq8e2PM2n1JMuCCwmcYehe3rlTm6s2W7KeFeEUQE2AzuwOlHBq1fZVZA7J5OaJN/f5s3GRcRTcVkBHVwe35d9Ga0erDyocmBMn4P77Ydo0KC6Gn/3ME1TdeqvnqY7iPwqnRERERETEVpsObKKjq4P1ZevtLmVQaG5v5v2a9wOmpQ9getp0YiNiLWvtqz5VDQw8nArU1j5vOGWapm01vHfiPV774DXuu/I+IsIi+rXGhOQJ/O7m37H96HYe3PigxRX2X0sL/PSnMH68Z77UffdBeTl8/esQHW13daFJ4ZSIiIiIiNimvbOdtw6/BcC60nU2VzM4vHPsHbrMLmZm2P+kPq/I8EjmjJpjWTjlbnQTZoSREpfSr88HejiVFp9Ga2crDa0NttXw+PbHiQ6P5p6Z9wxonc9e8Vm+nvd1Vu9YzTPvPmNRdf1jmpCfD5Mmwbe+BdddB3v2wMqVnjlkYh+FUyIiIiIiYpuS6hIa2xoZP3w8rx983dYfxgeLQBuG7uXIcuByuzjdfnrAa7kb3YyIH0F4WHi/Ph/o4ZT3RJhdrX0NrQ08vftp7phyhyVzy370sR9xzehruGf9Pew9vteCCvtu61a45hq4/XbPU/f+9jdYvx4mTrSlHDmHwikREREREbFNYUUh4Pnhtb2rnU0HNtlcUfBzuV0MixnG6KTRdpdyFkeWg46uDnYc3THgtdxN7n639IHCqUt5atdTNLY1snzOckvWiwyP5LnFz5EYlcitz9/KqdZTlqzbG4cPw5IlMHcuHDgAv/kNlJTAxz/utxKkFxROiYiIiIiIbYoqipiUOolbJt7C8Njhau2zgHcYuhFgE53nZs4FsKS1z904sHAqOdkz8Frh1Pm6zC4e3/44czPncuXIKy1bd2TiSJ5d/Cz76/Zz9/q7fT5P69QpePhhyMmBF16A73wH9u+HL30Jwvt34E58SOGUiIiIiIjYor2znX8c/gcLxi4gIiyCmybcxCv7X6Gjq8Pu0oJWe2c77x57N+Ba+gBS4lLITs6muMr+cCo8HIYPVzh1IX878DfKastYPtuaU1PdzR87nx9e/0Oe3/s8K7ettHx9gM5O+PWvPcPOf/hDWLwYysrgBz/wtPNJYFI4JSIiIiIitthxdAdN7U3MHzsfAGeOk7rTdZYNzQ5F79W8R2tna0CGU+Bp7SuuLB7QqZkus4tjjcdIj+9/OAWe1r5ADaeGxQ4jMizSlnBq5baVpMWncdvk23yy/kNXP4Qzx8nXN32dzZWbLV37b3+D3FxYtgyys2HbNvjDHyAry9JtxAcUTomIiIiIiC2886bmjZkHwMLLFxIVHsX60vV2lhXUvMPQA+lJfd05Mh3UNNdQXlfe7zU+PP0h7V3tAzo5BYEdToUZYYyIH8GxpmN+3fdA3QE27N/AvbPuJSo8yid7GIbB07c8zeik0dxecDsnmvr3TVi7FsaOhbAwGDkSZsyAT34SmpqgoADefBNmz7a2dvEdhVMiIiIiImKLoooipoyY8tHTwBKjE1kwdgHryjR3qr9cbhdxkXFkJ2fbXcoFObIcAGyu6v+JGe9poozEjAHVEsjhFHha+/x9cmr19tWEh4Vz75X3+nSfoTFDKbitgBNNJ/jcC5+js6uzT59fu9ZzOurQITBNqK6G3bvhzjth3z649VbPTDEJHgqnRERERETE79o623i78m0WjF1w1uvOHCdltWWU1pTaVFlwc7ldTEubRnhYYE58viL1CpKikwbUuukNbKw4OVVTM6AlfMrf4VRTWxNP7nqSW6+4lZGJI32+X25GLo/f+DivffAa33vje3367MMPQ3Pz+a8XF0N0tEUFil8pnBIREREREb/bfmQ7ze3NH82b8lqUvQhAT+3rhy6zi13uXQE7bwo87WpzM+cGTDhVWwtdXQNaxmf8HU6tfXctJ1tOsmLOCr/t+aWZX2LpjKX84M0f8Or+V3v9ucOH+/a6BD6FUyIiIiIi4nfnzpvyykrKIjc9V619/XDww4M0tDYEdDgFnta+Pcf3UN9S36/PWxlOdXVBXd2AlvGZ9IR0jjcd73PLW3+YpsnKbSuZkT7jo9ZLf3n8xseZnjadu168i0MnD/XqM6NH9+11CXwKp0RERERExO+KKoqYljaN5Ljk895z5jgprizu96DkUFVSXQIE7jB0L0eWAxOTrUe29uvz7kY3sRGxJEYlDqiOVM+os4CdO5WekE6n2Unt6Vqf7/XGoTfYc3wPK+aswPDzsKbYyFgKbi+go6uDxfmLae1oveRnHn30/JlScXGe1yU4KZwSERERERG/au1oveC8KS9njpMus4sN+zf4ubLg5nK7iAiLYMqIKXaXclFzRs0hzAhjc2X/hqK7m9ykJ6QPOEQJ9HAqLT4NgGONvn9i36ptqxgeO5w7p9zp870uZPzw8Tx9y9PsOLqDr2382iWvz8nxDEJPTvaEVGPGwJo1sGSJH4o9R1VDFd/627cob+z/EyhF4ZSIiIiIiPjZtiPbaOloOW/elFduei6jEkepta+PXG4Xk1InER0R2BOhh0QPYcqIKRRX9W/ulLvRPeCWPgj8cMr7Z/T13KnK+kr+8v5fuDv3bmIjY32618XcMvEWvun4Jr/c8UvWvrP2otfm50NEBJSVeVozKyr8H0y5ql3c9cJdjPvFOH62+We8W/+ufwsYZBROiYiIiIiIXxVWFGJgcN2Y6y74vmEYLMpexMbyjbR0tPi5uuDlqnYF/LwpL0emgy1VW/o1T0nhlLWe2PEEJib3z77fp/v0xg8/9kOuG3Mdy15ext7jey94jWlCQQF87GMwfLh/6+syu3il7BWuf/p6Zq6ZyUulL/HA7AcoX1HOZ0Z9xr/FDDIKp0RERERExK+KKoqYnj6d4bE9/2TpzHHS1N5E4cFCP1YWvKpPVXOs6VjwhFNZDhpaG9h3Yl+fP2tVOJWS4vkayuFUS0cLa0rW4MxxMmboGJ/t01sRYRE8e+uzJEYlcuvzt3Kq9dR517hc8MEHcNtt/qurpaOFX+/8NZNXT+bTf/o0ZbVl/PTjP6Xya5X8/IafM27YOP8VM0gpnBIREREREb9p6WihuLK4x3lTXgvGLSA+Mp51pWrt6w2X2wVAbkbwhFMAxZV9a+1r62yjprnGknAqKgqSkgI3nEqISiAuMs6n4dRze56jprmG5bOX+2yPvspIzOC5xc9RXlfOl9Z9CdM0z3o/Px/Cw+GWW3xfy4mmE3yv6HuMfmw0y15eRmxELH/8zB85+JWDfPPqbzI0ZqjviwgRCqdERERERMRvtlZtpbWztcd5U14xETEsHL+Q9WXrz/vhVM7nfVLfjPQZNlfSO5cNu4wR8SPYXNW3oejHm44DWBJOgae1L1DDKcMwSE9Ix93km3DKNE1WblvJFSlXcP24632yR3/NGzuPH37sh+Tvy+d/t/7vR697W/quv94zDN1X3q95n3vX38von4/mkTceYc6oObz+r6+zc9lOlkxbQmR4pO82D1EKp0RERERExG8uNW+qO2e2kyOnjnx0Kkh65nK7GD98PEOih9hdSq8YhkFeZl6fT055TxGFQjgFnif2+eppfVuPbGVn9U6Wz1k+4Ccf+sI3Hd/k5pyb+cbfvvHRfbJ7N5SX+6alzzRNCg8WsuhPi7ji8St4evfTfH7a59l3/z5e/tzLLBi3ICD/PQ0WCqdERERERMRviiqKyM3I7VU7zI0TbiTMCFNrXy8E0zB0L0eWg/11+znR1Pt0KNTCqfSEdJ+19a3ctpIh0UP41+n/6pP1B8owDJ665SnGJI3h9vzbOd50/KOWvs9YOHu8vbOdte+s5cpfX8n1v7+eLVVb+O6873L4a4dZs2gNV6ReYd1m0iOFUyIiIiIi4hen20+zuWrzJedNeaXGp+LIciicuoSTLSc5ePJgUIZTQJ9a+xROWcPd6CZ/bz5LZywlISrB8vWtMjRmKAW3F1B7upbP/flzPF/QyYIF/xxmPxD1LfX899v/zWX/exl3vXgXze3NrPn0Gg5/9TCPzH+EEfEjBr6J9JrCKRERERER8YstVVto62y75Lyp7pzZTlxuF5X1lb4rLMjtcu8CgmcYutesjFlEhkX2qbXPG9SkxadZUkNqKtTUeGYZBaL0hHRqT9fS1tlm6bprdq6hvaud+2ffb+m6vjAjfQaP3/g4fz/4d8pHPcLixQNbr+JkBV/769fIfCyTh157iAnDJ/DynS+z9/693DPrHmIjY60pXPpE4ZSIiIiIiPhFYUUhYUYY146+ttefceY4AVhftt5XZQU97zD0YDs5FRsZS25Gbp9PTg2LGUZ0RLQlNaSkQHs71NdbspzlvCfEvIPgrdDW2cYTO57ghvE3kJ2cbdm6vvRvuf/G9K5/g3n/RcLMV/q1xrYj2/iXgn/h8v+9nFXbV3Fzzs3sXLaT17/wOjdl30SYoXjETvq3LyIiIiIiflFUUcTMjJkkxST1+jM5KTlkJ2erte8iXG4XIxNHkpZgzWkif3JkOth2ZBvtne29ut7d6LaspQ88J6cgcFv7vH9WK1v7XnzvRaobq1kxZ4Vla/qaaUJzwSoSGmew4vXPU3Gyolef6+zq5C/v/4Vrf3ctV/3mKjaWb+Qbed/g4FcO8sfP/pGZGTN9W7j0msIpERERERHxueb2ZrZUben1vKnunNlOXj/4Og2tDT6oLPgF4zB0L0eWg5aOlo9aEy/F3egmIzHDsv0DPZzyti9a+cS+ldtWcvmwy7lh/A2Wrelre/fC/n2xfHN0AV1mF4ufX0xLR0uP1ze1NfH4tseZ+PhEPvPcZ6hqqOLnC39O5dcq+cknfkLmkEw/Vi+9oXBKRERERER8bnPlZtq72vs0b8prUc4i2rva2XRgk/WFBbnT7ad5v+b9oA2n8rLyAHo9d0onpwbGVe3i7cq3eWD2A0HVxpafD2FhcO/tl/P0LU+zs3onX/3rV8+7rvpUNQ///WFG/3w0y19dTnJsMs8vfp79K/bzlblfITE60YbqpTeC524UEREREZGgVVhRSLgRzjWjr+nzZx1ZDobHDldr3wW8e/xdOs3OoBuG7pU5JJPRSaMprupDOBUfOuGUt1XTqnBq1bZVxEXGsTR3qSXr+Ut+Plx3HaSlwc0Tb+Yhx0P8auev+MPuPwDw7rF3WfrSUsb+Yiw/+sePmDdmHv9Y+g82f2kzt02+jYiwCJv/BHIp+g6JiIiIiIjPFVUUMWvkLIZED+nzZyPCIrhpwk28sv8VOro69INmN65qFxB8w9C7y8vM69XJqca2Rpram0Lq5FRMRAxDY4ZaEk7VNtfym9y8iQAAIABJREFUzJ5n+ML0LzA0ZqgF1fnHvn3w3nvwwAP/fO3Rjz3K1iNbuffle/n9O7/ntQ9eIy4yjmUzl/GVuV9h/PDx9hUs/aKTUyIiIiIi4lNNbU1sO7KtX/OmvJw5TupO1/W6/StUlFSXMDRmKGOHjrW7lH5zZDmobKiksr7yotd5Axorw6m4OM+vQA2nwPPndTcNPJz6reu3tHS0sHzOcguq8p/8fDAMuPXWf74WERbBs4ufZXjscPYe38sPr/8hlV+rZOWNKxVMBSn9Xw4iIiIiIuJTxZXF/Z435bXw8oVEhUexrnQd1425zrrigpzL7RmGbhiG3aX0myPLAcDmqs1kJWX1eJ0vwinwnJ4K5HAqLT5twCenOrs6Wb19NfPHzmfKiCkWVeYf+flw7bWQfs63PT0hndLlpUSFRxEZHmlPcWIZnZwSERERERGfGsi8Ka/E6EQWjF2guVPddHR18O7xd4O6pQ9getp0YiNiL3kqLlTDqfSE9AE/rW992XoO1R9ixZwVFlXlH++953lS3+LFF34/PipewdQgoXBKRERERER8qqiiiNmjZpMQlTCgdZw5TvbX7ae0ptSiyoLb+zXv09LRErTD0L0iwyOZM2qOwqkepCekD/jk1Kptq8gakoUzx2lRVf5RUHB+S58MTgqnRERERETEZxrbGtl+dPuA5k15LcpeBKDTU2cMhmHoXnmZebjcLk63n+7xGnejm3AjnOS4ZEv3DoZw6lTbKZramvr1+X0n9vH3g3/nvivvC7qHCeTnw9VXw8iRdlcivqZwSkREREREfObtw2/T0dUxoHlTXllJWeSm57KuTOEUeOZNxUTEkJOSY3cpA+bIctDR1cGOozt6vKb6VDVpCWmEGdb+GOsNp0zT0mUt4z0pdqypf619q7atIjo8mntm3WNlWT5XWgrvvttzS58MLgqnRERERETEZ4oqiogIi+DqrKstWc+Z46S4spgTTQF81MVPSqpLmJ42PehOw1xIXlYewEVb+9xNbstb+sATTrW0QFP/Dib5nPfP3J/WvvqWen6/+/fcOfVOUuJSrC7NpwoKPF/V0hcaFE6JiIiIiIjPFFYUMmfUHOKj4i1Zz5njpMvsYsP+DZasF6xM02SXe9egaOkDSIlLITs5m+Kqi4RTjb4LpwBqaixf2hJp8WkA/RqK/tSup2hqb2L57OVWl+Vz+fngcEBmpt2VyLkMw7jBMIxSwzDKDcP49gXe/6JhGCcMw9h15tfdl1pT4ZSIiIiIiPjEqdZT7Di6w5J5U1656bmMShwV8q19B08epL61PuiHoXfnyHJQXFmM2UN/nbvRTXq878KpQJ071d+TU11mF6u2ryIvM49ZI2f5ojSf2b8fdu+G226zuxI5l2EY4cDjwKeAScCdhmFMusClz5mmOePMr99cal2FUyIiIiIi4hP/OPwPOs1OS+ZNeRmGwaLsRWws30hLR4tl6wabwTQM3SsvM4+a5hoOfHjgvPe6zC6ONR7z6cmpQA2nUuNTMTD6HE5tOrCJ8rpyVsxZ4aPKfEctfQFtDlBumuYHpmm2Ac8CNw90UYVTIiIiIiLiE0UVRUSGReLIcli6rjPHSVN7E4UHCy1dN5i43C7CjXCmpk21uxTLeO+TC82dqm2updPsDMlwKiIsgtT41D6HUyu3rSQ9IZ1bJwVfwpOfD3PnQlaW3ZWEpAjDMHZ0+7XsnPdHAZXdfl915rVz3WoYxjuGYRQYhnHJ76TCKRERERER8YnCikKuyryKuMg4S9ddMG4B8ZHxrCsN3da+kuoSJqVOIiYixu5SLDMpdRJDoodcMJzyBjOhGE6B58/tbup9OFVeV86r+1/l3ln3EhUe5cPKrHfgALhcaumzUYdpmld2+7WmH2usB8aapjkN+Bvw9KU+oHBKREREREQs19DawM7qnZbOm/KKiYhh4fiFrCtb1+N8osHO5XYNqnlTAGFGGHmZeRcNpzISMyzfNzERoqKCIJzqw8mp1dtXEx4WzrJZ5x56CXz5+Z6vaukLWEeA7iehMs+89hHTNGtN02w989vfAJcceqZwSkRERERELPfWobfoMrssnTfVnTPbydFTRympLvHJ+oHM3ejG3egeVPOmvBxZDvYc30NDa8NZr/vy5JRheE5PBXI4lRaf1uun9TW2NfKk60kWT1rMyMSRPq7MegUFMGcOjBljdyXSg+3ABMMwxhmGEQXcAZx1jNUwjO4pshN471KLKpwSERERERHLFVUUERUeRV5mnk/Wv3HCjYQZYSHZ2jcYh6F75WXmYWKytWrrWa/7MpyCwA+nvCenenNScO07a6lvrQ/KQegffAA7d6qlL5CZptkBLAc24gmdnjdNc69hGN83DMN55rL/YxjGXsMwdgP/B/jipdZVOCUiIiIiIpYrrChkbuZcYiNjfbJ+anwqjiwH68vW+2T9QOZye8KpGekzbK7EeldlXoWBcV5rn7vRTXxkPAlRCT7ZNxjCqdbOVupb6y96nWmarNy2ktz0XJ8Fw76kp/QFB9M0N5immW2a5uWmaT565rX/NE1z3Zl//nfTNCebpjndNM0Fpmm+f6k1LQunDMO4wTCMUsMwyg3D+PYF3r/OMIwSwzA6DMNYfM57Pz2Tqr1nGMb/GoZhWFWXiIiIiIj418mWk7jcLp/Mm+rOme3E5XZRWV956YsHEZfbxWXDLiMpJsnuUiw3JHoIU9OmUlx1TjjV5PbZqSkIjnAKuOTcqaKKIvae2MuKOSsIxh+rCwrgyith3Di7KxF/syScMgwjHHgc+BQwCbjTMIxJ51x2GM9RrmfO+awDuBqYBkwBZgPzrKhLRERERET8z9fzprycOZ4OklA7PVVSXcLMjJl2l+EzjkwHW6q20GV2ffSau1HhFFw6nFq1fRXJscncMeUOf5RlqYoK2L5dLX2hyqqTU3OActM0PzBNsw14Fri5+wWmaVaYpvkO0HXOZ00gBogCooFIoHeT3kREREREJOAUVRQRHR7N3My5Pt0nJyWH7OTskJo7Vd9SzwcffjAo5015ObIcNLQ2sO/Evo9e80c4deoUtLZe+lo79CacOlx/mL+8/xfunnm3z9ppfcnb0rd48cWvk8HJqnBqFND9LG3VmdcuyTTNzUAhUH3m10bTNC85yV1ERERERAJTYUUheVl5xETE+HwvZ7aT1w++ft7T3QarXe5dwOAchu6Vl+WZldR97pQ/wikI3NNTafFpABd9Yt8vt/8SgPuuvM8vNVmtoABmzoTLLrO7ErFDhN0FGIYxHrgCyDzz0t8Mw7jWNM23zrluGbAMICIigqKiogHt29jYOOA1xHr6vkhPdG9IT3RvyMXo/pCe6N7wnVPtp9jl3sUXxnzBL/+Os5qzaO9q57F1jzEvdeDTQQL93iio8hwvOX3wNEVHiuwtxkdM02Ro5FBe2P4C2aeyaetqo+50HadPnPbZ98btTgGm8OqrO5gwofGC19h5b3SZXUQYEWzbt42ilvNraOtqY/XW1VydfDUHdx3kIAf9X+QAHDsWzdatedxzzwcUFR22u5x+CfS/OwKdVeHUESCr2+8zz7zWG58Btpim2QhgGMarQB5wVjhlmuYaYA1AfHy8OX/+/AEVXFRUxEDXEOvp+yI90b0hPdG9IRej+0N6onvDd156/yVMTJYuWMp1Y67z+X7XdF3D98q+x4GIA3x3/ncHvF6g3xu/+8vvSE9I57Of/KzdpfjUvGPz2HdiH/Pnz/cMvH8L8qbmMX/mfJ/sFx4O3/0ujBlzJT19++2+N9J3pROVHHXBGp7a9RQNHQ08cuMjzB93/vuB7n/+x/P1oYcuY/z44Dw6Zff9EeysauvbDkwwDGOcYRhRwB1Abxu/DwPzDMOIMAwjEs8wdLX1iYiIiIgEoaKKImIiYrhq1FV+2S8iLIKbJtzEK/tfoaOrwy972slV7RrUw9C9HFkO9tft50TTiY/mLIVyWx94/vwXmjllmiYrt61kcupknz8h01fy82HGDBg/3u5KxC6WhFOmaXYAy4GNeIKl503T3GsYxvcNw3ACGIYx2zCMKuA24FeGYew98/EC4ADwLrAb2G2aZmg9bkNEREREZJAorCjEkeUgOiLab3s6c5zUna47a0bRYHS6/TT7Tuwb1POmvBxZDgC2VG2hurEaUDjVUzi1pWoLJdUlLJ+zHMMwbKhsYCorYcsWPaUv1Fk2c8o0zQ3AhnNe+89u/7ydf86V6n5NJ3CvVXWIiIiIiIg96k7X8c6xd/j+gu/7dd+Fly8kKjyKdaXr/NJKaJc9x/fQaXaGRDg1K2MWEWERFFcWM27YOMC34dSwYZ7WvkAOp9Li09hxdMd5r6/ctpKk6CTumnaXDVUN3J//7Pmqp/SFNqva+kREREREJMS9UfEGJibzx873676J0YksGLuAl0pfwjRNv+7tTy63C4DcjMEfTsVGxjIzYybFVcUfnRYaET/CZ/uFhUFycmCHU+kJ6ZxoOkFnV+dHr1WfqiZ/Xz5LZywlISrBxur6Lz8fpk2D7Gy7KxE7KZwSERERERFLFFUUERsRy5xRc/y+tzPHSXldOaW1pX7f219c1S6SopMYN3Sc3aX4hSPTwbYj26isryQ5Npmo8Cif7peaGvjhVKfZSe3p2o9eW7NzDR1dHdw/+34bK+u/I0eguFgtfaJwSkRERERELFJYUcjVo6/2eYhwIYuyFwGwvnTwjq91uV3MSJ8RlHOF+sOR5aClo4WNBzb6tKXPKxjCKeCjk2RtnW08sfMJPjX+U0xInmBnaf3mbelTOCUKp0REREREZMBqmmt49/i7tj0tLCspi9z0XNaV9fah4cGlo6uDd469ExJP6vPKy8oDoLKhkozEDJ/vF2zh1AvvvYC70c2KOSvsLGtA8vNhyhTIybG7ErGbwikRERERERmwNyreAPD7vKnunDlOiiuLOdEUwAlDP5XWlHK643RIDEP3yhySSdaQLMC3w9C9gi2cWrltJeOHj2fh+IV2ltVvR4/C22/r1JR4KJwSEREREZEBK6ooIi4yjtkjZ9tWgzPHSZfZxYb9Gy59cZAJpWHo3TmyHACkx/snnPrwQ2hv9/lW/ZIWnwZ4wqmS6hKKK4t5YPYDhBnB+WP9Cy+AaSqcEo/gvItFRERERCSgFFYUcs3oa4gMj7Sthtz0XEYljhqUrX2uahcxETFMTJlodyl+9VE45aeTUwC1tRe/zi4JUQnERcZxrPEYq7atIj4yni/O+KLdZfVbfj5MmgRXXGF3JRIIFE6JiIiIiMiAHG86zt4Te5k/Zr6tdRiGgTPHycbyjbR0tNhai9VcbhdTR0wlIizC7lL86trR1wIwOmm0z/fyhlOB2tpnGAbpCensObGHZ959hs9P+zxDY4baXVa/VFfDW2/p1JT8k8IpEREREREZEO+8qQXj7BmG3t2i7EU0tTdReLDQ7lIsY5omLrcrpOZNeeVm5FL0hSJumXiLz/cK9HAKPCfINh3YRGtnK8vnLLe7nH578UW19MnZFE6JiIiIiMiAFFUUER8Zz6yMWXaXwoJxC4iPjGdd6eBp7as4WcHJlpMh9aS+7uaNneeXdlFvOFVT4/Ot+s3b3nj9uOuZPGKyzdX0X34+TJzoaesTAYVTIiIiIiIyQIUVhVw75lpb5015xUTEsHD8QtaVrcM0TbvLsUSoDkP3t6A4OXVmMPzy2cF7aurYMXjzTc+pKcOwuxoJFAqnRERERESk3441HuO9mvdsnzfVnTPbydFTRympLrG7FEu4ql2EG+FMHTHV7lIGteRkz9dADqc+efkn+XT2p1mUs8juUvrtxRehq0stfXI2hVMiIiIiItJvRRVFQGDMm/K6ccKNhBlhg6a1z+V2MTFlIrGRsXaXMqhFRMDw4YEdTt088WbW37k+qAfj5+dDTg5MmWJ3JRJIFE6JiIiIiEi/FVUUkRiVGFDzkFLjU3FkOVhXNnjCKbX0+UdqamCHU8Hu+HEoKoLFi9XSJ2dTOCUiIiIiIv3mnTcVaCc5nNlOdrl3UVlfaXcpA3Ks8RhHTx1lZnrghH+DmcIp31JLn/RE4ZSIiIiIiPRL9alqSmtLA2relJczxwnA+rL1NlcyMBqG7l8Kp3yroAAmTIBp0+yuRAKNwikREREREemXQJw35ZWTkkN2cnbQz51yVXvCqRnpM2yuJDQonPKdmhooLFRLn1yYwikREREREemXoooihkQPCdjgxJnt5PWDr9PQ2mB3Kf3mcrsYN3QcQ2OG2l1KSEhNhdpaT+uZWOvFF6GzUy19cmEKp0REREREpF8KKwq5bsx1ATdvysuZ46S9q51NBzbZXUq/aRi6f6WmegKUDz+0u5LBp6AALr8cZgRmli02UzglIiIiIiJ9dqThCPvr9gfkvCmvvKw8kmOTg7a1r6G1gfK6cnLTFU75S2qq56ta+6xVWwt//7ta+qRnCqdERERERKTPAnnelFdEWAQ3TriRV/a/QkdXh93l9Nlu924AZmboSX3+kpLi+apwylp/+Yta+uTiFE6JiIiIiEifFVUUMTRmKNPTpttdykU5c5zUna6juLLY7lL6rKS6BEAnp/xIJ6d8o6AAxo2DmcpZpQcKp0REREREpM+886bCw8LtLuWiFl6+kKjwqKBs7XO5XaTFp5GRmGF3KSFD4ZT16urgtdfU0icXp3BKRERERET6pLK+kgMfHgjoeVNeidGJLBi7gJdKX8I0TbvL6RMNQ/c/hVPWe+kl6OhQS59cnMIpERERERHpkzcOvQEE9ryp7pw5TsrryimtLbW7lF5r7Whl34l9aunzs+hoSExUOGWl/HwYMwauvNLuSiSQKZwSEREREZE+KTxYyLCYYUxLm2Z3Kb2yKHsRQFC19u05voeOrg6FUzZITVU4ZZUPP1RLn/SOwikREREREemTokNFzBs7jzAjOH6cyErKIjc9N6jCKe8wdD2pz/8UTlln3Tpob1dLn1xacPzXREREREREAsLh+sN88OEHQTFvqjtnjpPNVZs50RQcqYPL7WJI9BDGDRtndykhR+GUdfLzYfRomDPH7kok0CmcEhERERGRXiuqKAKCZ96UlzPHSZfZxYb9G+wupVdcbhcz0mcEzem0wUThlDXq62HTJrX0Se/obzoREREREem1wopCkmOTmTJiit2l9Eluei6jEkexrizwW/s6uzp559g7mjdlE284FWQPdww43pa+xYvtrkSCgcIpERERERHptaKK4Jo35WUYBs4cJxvLN9LS0WJ3ORdVVltGc3uzwimbpKZ6QpWGBrsrCW75+ZCZCVddZXclEgyC678oIiIiIiJim4qTFVScrAi6eVNezhwnTe1NFB4stLuUi3K5XYCGodslNdXzVa19/dfQABs3ek5NhSl1kF7QbSIiIiIiIr0SrPOmvOaPnU98ZHzAP7WvpLqE6PBoJqZMtLuUkKRwauDWr4e2NrX0Se8pnBIRERERkV4prCgkJS6FSamT7C6lX2IiYlg4fiHrytZhBuhAocP1h3ll/ytMTZtKZHik3eWEJIVTA5efD6NGQV6e3ZVIsFA4JSIiIiIil2SaJkUVRcwfOz/o5k1158x2cvTUUUqqS+wu5SymafLbkt8yZfUUKusrefjah+0uKWQpnBqYhgb461/h1lvV0ie9p1tFREREREQu6eDJgxyuPxy086a8bpxwI2FGWEC19lU1VHHjMzdy9/q7mTVyFu/e9y63TLzF7rJClsKpgXnlFWhtVUuf9I3CKRERERERuaRgnzfllRqfiiPLwboy+8Mp0zR5etfTTFk9hTcPvcnKT63k7//6d8YNG2d3aSEtPh5iYwMvnFq7FsaO9ZxGGjvW8/tAlJ8PGRlw9dV2VyLBROGUiIiIiIhcUmFFISPiR3BFyhV2lzJgzmwnu9y7OFx/2LYaqk9V43zWyRdf+iJT06ay+8u7WT5neVC3TA4mqalQU2N3Ff+0di0sWwaHDoFper4uWxZ4AVVjI7z6qlr6pO90u4iIiIiIyEV1nzdlGIbd5QyYM8cJwPrS9X7f2zRN1r6zlsmrJ/PaB6/x2MLHeOOLbzB++Hi/1yI9S00NrJNTDz8Mzc1nv9bc7Hk9kLzyCrS0qKVP+k7hlIiIiIiIXNSBDw9Q1VAV9POmvHJScshOzmZ9mX/DqWONx/js85/lrhfvYmLKRHZ/eTdfnftVnZYKQIEWTh3u4ZBfT6/bJT8f0tLgmmvsrkSCjf4WFBERERGRixos86a6c2Y7ef3g6zS0Nvhlv+f2PMfk1ZN5df+r/Pcn/pu3lr5FdnK2X/aWvgu0cCor68KvmybcfDOUlfm3ngtpaoINGzwtfeHhdlcjwUbhlIiIiIiIXFRhRSHpCenkJOfYXYplnDlO2rva2XRgk0/3OdF0gtvzb+eOP9/B5cMvx3Wvi284vkF4mH56D2SBFk596lPnvxYXB7ffDoWFMHkyfPWrUFfn/9q8NmyA06fhttvsq0GCl8IpERERERHp0WCbN+WVl5VHcmwy60p999S+P+/7M5NXT+al0pf40cd+xNv/9jZXpAb/QPlQkJrqmel07pwnO9TUQEEBTJgAo0eDYcCYMbBmDTz3HOzfD0uXwsqVMH48/OIX0N7u/zrz82HECLj2Wv/vLcFP4ZSIiIiIiPRof91+jp46OmjmTXlFhEVwU/ZNvLL/FTq6Oixdu7a5ls/9+XMszl/M6KTR7Fy2k29f820iwiIs3Ud8JzXV8zUQTk899BDU18MLL3ie0tfVBRUVsGSJ5/20NE9Q5XLBrFmeE1RTpsC6dZ62P39obvYMQ//sZ9XSJ/2jcEpERERERHo0GOdNeS3KXkTd6TqKK4stW/Ol919i8urJFOwr4AcLfsDmL21myogplq0v/hEo4VRREfzud/DNb3oCp4uZNg02bYKXX/acrrr5Zvj4x2H3bt/XuWGDJ6BSS5/0l8IpERERERHpUWFFIRkJGUwYPsHuUiy38PKFRIVHWdLaV3e6js+/+Hluee4WMhIz2H7Pdr5z3XeIDI+0oFLxt0AIp1pb4ctfhssug+98p3efMQy46SZ4911Pm9+uXZCbC3ffDW6372otKICUFLjuOt/tIYObwikREREREbkg77ypBeMWDKp5U16J0YksGLuAl0pfwhxA/9PLZS8zZfUUnt3zLN+d91223r2V6enTLaxU/C0lxfPVznDqJz+B0lJYvdoz/LwvIiNh+XIoL/e0+f3+9555VI8+6hlabqXTpz2ntT77WYhQ56r0k8IpERERERG5oNLaUtyN7kE3b6o7Z46T8rpySmtL+/zZky0nWfrSUhb9aREpcSlsvXsrj8x/hKjwKB9UKv5k98mpsjJPkHTnnbBwYf/XGTYM/ud/YO9e+OQnPSewcnLgmWesm0f16qvQ1KSWPhkYhVMiIiIiInJBg3nelNei7EUAfW7t+2v5X5myegp/2P0HHr72Ybbfs52ZGTN9UaLYICnJc/rIjnDKND3tfHFxnmDJChMmeAaqFxZ6ToUtWQJ5ebB588DXLiiA5GSYP3/ga0noUjglIiIiIiIXVFhRyKjEUVw+7HK7S/GZrKQsctNzex1ONbQ2cM+6e/jU2k+RFJPE5i9t5r+u/y+iI6J9XKn4k2F4Qhw7wqk//METIv3kJ5Cebu3a8+fD9u2eIeuHD4PDAXfc4Xn6X3+cPg3r18NnPqOWPhkYhVMiIiIiInKewT5vqjtnjpPiymJONF08iXjtg9eYsnoKT+56km9d/S12LtvJ7FGz/VSl+Ftqqv/DqZoaePBBT2h0992+2SM8HL74RU/r4H/8B6xbBxMnwr//OzQ09G2tjRuhsVEtfTJwCqdEREREROQ879W8x/Gm44N63pSXM8eJicmG/Rsu+P6p1lPc9/J9fOIPnyAuMo63/+1tfvzxHxMTEePnSsWf7AinHnoI6uvhiScgzMc/rSckwPe/7xm6fttt8OMfe9r/fv1r6Ozs3Rr5+TB8OCwYvJ2/4icKp0RERERE5DyhMG/KKzc9l1GJo1hXdn5rX+HBQqY9MY1f7fwVX8/7Oq57XczNnGtDleJv/g6n3njD0273jW/A1Kn+2zcry9NKuHWrJ5xatgxyc+G11y7+uZYWT0vfLbd45nOJDITCKREREREROU9hRSFZQ7IYN3Sc3aX4nGEYOHOcbCzfSFtXGwBNbU2s2LCC639/PRFhEby19C1+9smfERsZa3O14i/+DKdaWz1D0MeN87Ta2WHOHHjrLXj+eTh1Cj7xCVi0CN5//8LXb9rkuU4tfWIFhVMiIiIiInKWUJo35eXMcdLU3oTrQxdvHXqLaU9MY9X2VXzlqq+w+8u7uXr01XaXKH6WmuqZwdTa6vu9fvpTTwi0erXnKX12MQxP2PTee56B7G+8AVOmwIoVUFt79rX5+TB0KFx/vT21yuCicEpERERERM6y98ReapprQmLelNf8sfOJj4znF+W/YN5T8wAo+kIRP7/h58RF2pgWiG1SUz1fa2p8u09ZGTz6qOepeTfc4Nu9eismxjP/qrwc7rnHE5qNHw+PPQZPPw1jxsAf/wjt7Z6QSmSgFE6JiIiIiMhZQmnelFdMRAw3TriR6pZq7p99P7u/vJt5Y+fZXZbYyBtO+bK1zzThvvs8YdBjj/lun/4aMQJ++UvYvdvT9vfgg7B0KRw+7Hm/qckzo2rtWnvrlOCncEpERERERM5SWFHImKQxjB061u5S/Gr1Tav57azfsurGVSREJdhdjtjMH+HUH/8Ir7/uaaFLT/fdPgM1ZQps3OgJq0zz7Peam+Hhh+2pSwYPhVMiIiIiIvKRLrOLNyreCKlTU14pcSlclnCZ3WVIgPB1OFVb6zmJlJfnaZ0LBj39u/CepBLpL4VTIiIiIiLykT3H91B7ujak5k2JXIivw6mHHoKTJ+FXv4KwIPnJfPTovr0u0ltB8j8BERERERHxB++8qflj59tah4jdhg/3hEa+CKfeeAPCpfgKAAAgAElEQVSefBK+8Q2YOtX69X3l0UfPf5pgXJzndZGBUDglIiIiIiIfKawoZNzQcYwZOsbuUkRsFRYGycnWh1OtrfDlL8O4cfAf/2Ht2r62ZAmsWeN5Wp9heL6uWeN5XWQgIuwuQEREREREAoN33tRnJn7G7lJEAkJqqvXh1E9/Cu+/D6++ev4ppGCwZInCKLGeTk6JiIiIiAgA7xx7hw9bPlRLn8gZVodTZWWeFrg77oAbbrBuXZFgZ1k4ZRjGDYZhlBqGUW4Yxrcv8P51hmGUGIbRYRjG4m6vLzAMY1e3Xy2GYdxiVV0iIiIiItI7mjclcrbUVKipsWYt04T77oOYGHjsMWvWFBksLGnrMwwjHHgc+ARQBWw3DGOdaZr7ul12GPgi8I3unzVNsxCYcWad4UA5sMmKukREREREpPcKKwq5fNjlZCVl2V2KSECw8uTUH/8Ir78OTzwB6enWrCkyWFh1cmoOUG6a5gemabYBzwI3d7/ANM0K0zTfAbouss5i4FXTNJstqktERERERHqhs6uTNw+9yYKxC+wuRSRgpKZCXR10dg5sndpaePBByMuDe+6xpjaRwcSqcGoUUNnt91VnXuurO4A/WVKRiIiIiIj02u5juznZclItfSLdpKZ62vFqawe2zkMPwcmT8KtfeZ4CKCJnC5in9RmGkQFMBTb28P4yYBlAREQERUVFA9qvsbFxwGuI9fR9kZ7o3pCe6N6Qi9H9IT3RvXG+5yufByCqOoqiuiJ7i7GR7g3p7vjxVGAyr7yyjdTU/t0bu3Yl8eSTuXzuc4eorT2Ibq/BSX93DIxhmubAFzGMPOAR0zQXnvn9vwOYpvmjC1z7FPCyaZoF57z+FWCyaZrLLrVffHy82dTUNKCai4qKmD9//oDWEOvp+yI90b0hPdG9IRej+0N6onvjfIv+tIjSmlLKVpTZXYqtdG9Id6+/Dh/7GBQWAvT93mhthRkzPF/3/P/27jy8qvJc//j3SUjCDIqRIUCCGCkoiCBB2sqgtQr402qxVG1xrEqr7c+259QO0J5Trba2tZ6j0iJY21PqUMvVYwWHVqIotsxOKAgKggEsg2EwEDI854+1EpKYtU3IsMLe9+e6cmUPa+/97qx7r+z1rPd91+vQsWNLtFLagmTZdphZibt3au3Xba4OhcuBfDMbYGaZBMPzHm/kc1yKhvSJiIiIiLQ6zTclUr/s7OD3kU6KfuedsHYt3HefClMiiTRLccrdy4EbCYbkvQk86u5rzOw/zewCADMbZWbvAZcAvzGzNVWPN7M8oB/wfHO0R0REREREGu7l7S+zt3Sv5psSqaMpxan16+HWW2HqVDjvvOZtl0iyabY5p9x9IbCwzm0za1xeDvSNeOwmjmwCdRERERERaaLCTYUAKk6J1NGjR/C7scUpd5g+Hdq3h7vuav52iSSbNjMhuoiIiIiIxOO5Tc8xqMcgenfpHXdTRNqUjAzo3r3xxal58+DZZ2HWLOitj5XIx9JJLEVEREREUlh5ZbnmmxJJIDu7ccWpXbvg5pvhjDPguo893ZeIgIpTIiIiIiIpbfW21ew7tE9D+kQiNLY49Z3vQHExzJ4NadrjFmkQfVRERERERFKY5psSSawxxanFi2HuXPjWt2Do0JZtl0gyUXFKRERERCSFPbfpOQYfN5ienXvG3RSRNqmhxanSUrj+esjLg5kzP3ZxEalBxSkRERERkRRVVlHGC5tf0HxTIglkZ8POnVBZmXi5O++EtWvhvvugY8fWaZtIslBxSkREREQkxZRXlvP4use58OEL2X9ov4b0iSSQnQ0VFbB/f/TJ7tevh1tvhalTYeLEVmycSJKI/nSJiIiIiEhSWb9rPQ+sfoAHX3mQ7fu306tzL2aMncFFgy+Ku2kibVZ2dvC7uDij3vvdYfp0aN8e7rqrFRsmkkRUnBIRERERSWIHyg7w5zf/zJxVc3j+3edJt3Qm5U/i2hHXMil/Eu3StEsgkkhVcWrPnsx67583D559FmbNgt69W7FhIklE/4lERKTBKr2S5UXLWbB+AUu2LCHN0uiY0ZEO7TrQMaNj9c9Hrmd8/P0d2nUgPS097rcoIpI0Vm9bzZxVc5j32jz2lO5h4DED+clZP+GK4VfQp0ufuJsnctRI1HNq1y64+WY44wy47rpWbphIElFxSkREEio+WMzTG55mwfoFPLXhKXaU7CDN0hjRewSZ6ZnsLNlJSVkJJWUlHCg7EPwuP3BEr5WVntXwglZ4/YOtH9B5a2dO63WailsikvKKDxbzx9f+yNzVc1m1bRXt27Xn84M/z7UjrmVs7ljSTFPOijRWouLUd74DxcUwezak6eMlcsRUnBIRkVrcnTU71rDgrQUsWL+Al7a8RIVX0KNDD8478Twm50/mswM/S4+OPSKfo9IrOVh+sFbBqrqAVV7n+sfdH14vPlhc7/KOc+/b99Itqxtjc8cyIW8CZw04i6E9h2onTERSgruz+N3FzFk9h8feeIyD5Qc5teep3DPxHi4behnHdDgm7iaKHNUOD+urXZxavBjmzg0KVEOHxtAwkSSi4pSIiFBSVsKijYtY8NYCFm5YyOY9mwEY3ms4t3z6FibnT6Ygp6DBPZOqhvt1zGjZ8yi7O/Ofmc+hPoco3FRI4aZC/vrWXwHo0aEH4/LGMSFvAhPyJjAkewhm1qLtaW3b929nWdGy6p/lW5eTbukU5BQwOmc0BTkFjMoZxXEdj4u7qSLSArbv387vXv4dc1fPZf3u9XTN6spVw6/imtOuYUTvEUm3zROJS/v20LkzFBcfnnOqtBSuvx7y8mDmzPjaJpIsVJwSEUlRGz/YyIL1Qe+owo2FlFaU0imjE+cMPIcZY2cw8cSJ5HTNibuZCZkZPbJ6MH7oeC4deikAW/ZsqS5UFW4sZP6b8wE4vtPx1YWqCQMmkH9s/lG147b/0H5Wbl3JsqJlLC1ayrKiZWzZuwWAdEtnWM9hfGHIFyivLGfZ1mU8teEpHAfghGNOoCCngII+BRTkFHBa79NavHAoIi2jvLKcJ9c/ydzVc3nirSeo8ArG5o7lB2N/wJQhU/TZFmkh2dm1h/XdeSesXQsLF0JHfexEmkzFKRGRFHGo4hBLNi+pLkit3bkWgPxj85l++nQmnzSZM/ufSVa7rJhb2jT9uvVj2qnTmHbqNCAowhVuKmTRxkUUbirkkTWPANCnS5/qIYAT8iYw4JgBcTa7lrKKMl7/1+uHe0VtXcYbO96g0iuBoNj0qf6fSlhs2le6j1XbVlU/fsnmJTz8+sNAUMwa2nNo9eNH9x3N4OMGa84ukTbs7d1v88DqB/jty79l2/5t9OzUk2+N+RZXn3Y1g44bFHfzRJJedvbhYX0bNsCtt8LUqTBxYswNE0kSKk6liA8PfcjmPZt5d8+7we/id6svb96zmTRLI7d7Lv279Se3W27wE17v360/7du1j/stiMgR2L5/O0+uf5IF6xfwzNvPsO/QPjLTMxmXO44bRt7ApPxJ5PfIj7uZLWrAMQMYcMwArj7tatyd9bvXU7ixkEWbFvG3d/7GvNfmAZDbLZcJAyZU967q161fq7TP3dlYvLG6ELW0aCmrtq3iYPlBIBieOLrvaKYMntKoYXpdsrowLm8c4/LGVd+2bd82lm9dXv1aj6x5hNmrZgPQKaMTp/c5PehhFf7069rvqOpdJpJsDpQdYP6b85m7ei6FmwpJszQm5U/imtOuYXL+ZDLSPzo5s4i0jOxsWLcuA3eYPj0Y6nfXXXG3SiR5qDiVBNydf334r48UnzbvDX/v2cyuA7tqPSbd0unbtS+53XM5M/dMKior2LxnM4s2LmLrvq3VR+er9OzUMyhcdc+tLl7VvN69fXftwIi0AZVeyfKi5Sxcv5AF6xewcttKAHK65PDFU77I5PzJnH3C2XTO7BxzS+NhZpzU4yRO6nES159+Pe7OGzveqB4G+Pi6x3nw5QcBOPHYE2sNA+zVuVeztGHHhztqFYiWFS2r3ka3b9eekb1HMv306dUFogHdBzTb9rV3l95cMOgCLhh0ARDkZcPuDbXacvfSuzlUcQgItv01i1Wj+ozSxMoireCV7a8wZ9Uc/vDaHyg+WMyA7gO4dcKtXDn8yjY/3FokWWVnw9Klmfzxj/D3v8OsWdC7d9ytEkkeKk4dBQ5VHGLLni0Ji0+lFaW1HtM5s3N1AWl0zuhavaL6d+tPny59IodvlFWUUbSvqFbvqqrLr73/Gk+89UT1Ef26r1dVrKrugRW+bu/OvTVcRKSFFB8s5ukNT7Nww0KeXP8kO0p2kGZpjOk7htvOuo3J+ZMZ1nOYCsj1MDNOPv5kTj7+ZG4suJFKr+TV91+lcGNh9RDA+1fdD8AnjvtE9TDA8XnjG9R7qaSshNXbVlcPrVtWtIx3PngneG2C175w0IWM7htMXn5y9smt2hMizdKqi3VfGvYlAErLS3n1/VdrtblqknmAk3qcVGv+qlN7naretSLNYM/BPTz0+kPMWTWHldtWkpWexcWDL+baEdcyPm+8zj4qEqN582D+fNi7N5Np02DgQLjuurhbJRIfMzsPuBtIB+a4+x117s8Cfg+MBHYBU919U6LnVHGqDSg+WHy44FSzABX+3rZvW/WktlV6de5F/279Gd5rOBcOurC6F1NVUagpPZky0jPI655HXve8eu93d3aU7KhVtKpZLPvne/9k94HdtR7TLq0d/br2i+x9paGDIg3n7qzZsab6zHpLNi+hwis4tsOxTDxxIpPyJ3HuwHPp0bFH3E096qRZGsN7DWd4r+HcPOZmyivLWb1tdXXPqt+/8ntmrZgFwNDjh1b3qhqXO46uWV15c+ebLH1vaXVh57X3X6PCKwDo360/BTkF3DDyBgpyChjRewRdsrrE+XbrldUui1E5oxiVM4qv8TUg2GlesXVF9ft69p1n+cOrfwAgIy2DU3udWl2sKsgpYNBxg7QjLdIA7s6Lm19kzuo5/GnNnzhQfoBhPYfxX+f9F5cPu5xjOxwbdxNFUt68eUEhqqQEwKishKIieOghuPzyuFsn0vrMLB24FzgHeA9YbmaPu/sbNRa7BvjA3U80sy8CPwWmJnxed090f5vUqVMn//DDD5v0HM899xzjx49vngYdoW8/823uX3U/e0v31ro9Mz2zeq6nmr2Qqgo5fbv2bfOFnP2H9n+k4FazF1bRvqKPDB08vtPxpFek0759235vEo8DBw80OBuN2a7VLfwe6fMmep4jeVyix5RWlFYXgIf3Gs7k/MlMyp/E6JzRKdlDsTW352UVZazYuqJ6cvUlW5ZwsPwghtEhowMlZSUAdMvqVms4XEFOQbMNC2wrivYWVZ81cFnRMpZvXc7+Q/sB6JLZpck71Y35bEY+hzulpaVkZR1dk/w35uCS0bgDUW2lB2Vj290SDh48GPt3jpKyEt7/8H26ZHbhsqGXce2IaxnZe2SbWU+pqi3sJ0jbkZcH77770dtzc2HTptZujbRlybLtMLMSd++U4P4xwI/c/dzw+ncB3P32Gss8HS7zDzNrB2wHsj3BTo56TsXolONPYdqwabUnIu+ey/Gdjj/qjzh3zuzMkOwhDMkeUu/9ZRVlbN239XCvq3Bi9o1FG+nVM7l24KR5bH9/O717NXxgf2N2fJprRzDhfQleI+pxUY9JszRG9h7JpPxJmnuklWWkZzCm3xjG9BvD98d+n9LyUpYWLaVwYyG7D+xmVM4oCnIKOPHYE4/67fjHyemaw8VdL+biwRcDUFFZwbpd61hWtIwVW1dUF6qaojl20Ldvb9y2I27NVTBv6nO3pLZyYHT7+9tj/85hZpyVdxZThkyhU2bkfoCIxGjz5sbdLpIE2pnZihrXZ7v77BrXc4AtNa6/B4yu8xzVy7h7uZntAXoAOyNftElNlia5cviVXDn8yribEYuM9IxgeF/3XMg9fHuyVJul+Skb0hZltctibO5YxuaOjbspsUtPS68+KNGW/rdp2yFRlA0RaYj+/evvOdW/f+u3RaSVlLv76a39osl9WFdERERERETkCN12G3TsWPu2jh2D20VSVBHQr8b1vuFt9S4TDuvrRjAxeiQVp0RERERERETqcfnlMHt2MMeUmZObG1zXZOiSwpYD+WY2wMwygS8Cj9dZ5nHgivDyFGBRovmmQMUpERERERERkUiXXx5Mfr5o0fNs2qTClKQ2dy8HbgSeBt4EHnX3NWb2n2Z2QbjYXKCHmW0Avgnc8nHPqzmnRERERERERESkQdx9IbCwzm0za1w+CFzSmOdUzykREREREREREYmNilMiIiIiIiIiIhIbFadERERERERERCQ2Kk6JiIiIiIiIiEhsVJwSEREREREREZHYqDglIiIiIiIiIiKxUXFKRERERERERERio+KUiIiIiIiIiIjERsUpERERERERERGJjYpTIiIiIiIiIiISGxWnREREREREREQkNipOiYiIiIiIiIhIbFScEhERERERERGR2Kg4JSIiIiIiIiIisVFxSkREREREREREYqPilIiIiIiIiIiIxMbcPe42NJqZVQIHmvg07YDyZmiONC+tF4mibEgUZUMSUT4kirIhUZQNiaJsSCLJko8O7t7qHZmOyuJUczCzFe5+etztkNq0XiSKsiFRlA1JRPmQKMqGRFE2JIqyIYkoH02jYX0iIiIiIiIiIhIbFadERERERERERCQ2qVycmh13A6ReWi8SRdmQKMqGJKJ8SBRlQ6IoGxJF2ZBElI8mSNk5p0REREREREREJH6p3HNKRERERERERERipuKUiIiIiIiIiIjEJqmLU2ZmcbdBRESaTttzEREREZHkldTFKSCj6oJ2bETaPjM7y8w6xd0OaZO0PZd6mdlxZpYeXlY2pJqZ/dTMzgwvKxsi0iBmdrGZHRN3O6TtMbMuNS7r/0ozS8rilJldamYrgdvM7BsArpnfY2VmXzGz+8xsYNxtkbbHzC4PP7MTgLK42yNth7bnEiXcbrwM/ByYA8qGBMJsLAK+Ev4oG1LNzK41s0erCpciVczsS2b2T+DTwMG42yNth5l9wczWAHeY2c9A/1daQru4G9DczOx04Cbga8AG4Fkz2+fuD5iZKUStJ6wmpwFTgH8HtgGjzazI3bXBT3FhPtoB3wC+D0x093/G2yppS7Q9l/qYWTvgBuAS4EbgH8A7ZjbG3f8Ra+MkVmbWEZgBjCL4v5IJnG9mnd19f6yNkzbBzM4Fvgm8CYwxs9fd/QP9T0ld4fdRA64gONDxSXdfGm+rpC0xs0EE30evcvdlZvaimX3D3e+Ou23JJil6TplZRo2rQ4Bn3f2f7r4TmAf8xMy66Z9O6zGz9h6oAFYBo4FZwFhgcKyNk9jVyEcZ8BbB5/RdM8s0s8+bWZ+YmygxMbP2Na4ORttzqcPdy4EF7j7O3V8E+gErgB3xtkzi5u4lwO/d/TNhofIYYJwKU6nNzLJqXF0JnA3cA/QFxoF6QKQqM8sKv49WAsuAR4BSM0szsyvMTPssKarOdqMv8Arwenj9fmCGmZ3W6g1Lckd9ccrMvgvMNbOrwqOpm4DzzGxIuEglsBe4OVz+qH/PbZ2ZzQCeMrObzOxkd1/v7ruBxwiOTJypcdypq0Y+vm5mJwFPAlvC36uAi4Dfmdn3w+X1mU0RdbLRD1gHTNT2XMzsP8xsctV1d98Y3j4KmA9kERQuZ4a3Kxspop5svFnj8l+ADhq+lbrC/YT54f+Vk919p7tvA54HioDTzSwvXFbzx6SQOtkY7O5rgGeAJwgKEWOAB8zs9nB5/V9JEXWykQdsBfKAc8LtRDfgbYJ9FmWjGR21f0gz+4SZvQScDPyJYOjYDe6+GFgEfDOcp+R44DKCbt2dwsq4tBAzu5rgiNR3gGyCeWLyAMJeMn8GRgIj6jxOXwhSQJ18HAfcGf5+nOALwXnu/iWC4sO3zayHPrOpoZ5s3EMw7GI+8O/anqcmMzvWzGYDXycoPtWdjuA94Gx3P59g+PhNZtZH2Uh+DcgGZtaV4Dthz9Zun8TLzAaE846dTDAv3SDgSgsnMw63EX8HugCfCW9T76kUEJGNq8NhwU8DvwE+5+43AF8myI3+r6SAiGzcGB70+CswCXgJOAm4DviCmXVXNprP0Tzn1D7gUXf/FYCZZQPnEOzQzADaAwPc/ZWwOPIScEhjyltOWGDqB9zn7kstmDTuFuB24FIAd3/GzD4FDA2H7+S5+71aJ8kvIh/fA37q7tPMbGbVXGTu/rqZPUVQpNgVX6ulNURk4wfAr9z9GjPrRrA9f1nb85TzIfAXd7/OzBYC3wJ+amZp7l4Z9oAAwN03mdliYADBUU5JblHZqN4uuPteM+sJ9AEws/RwugFJfruBJ9z9lwBmlglMA8qqMuLuK83sFCDXzK4Eern7HfE1WVpJfdm4AigH/gXcER5Qx903hJ0hctH/lVRQXzauCr+n3g+kAwPdfW3YW+o5IE3fR5vPUdtzyt2LCEJSZSnQ2YK5bA65+96wMJVJUKyqcPcyBad51NfTqcbfdlp4fT9wNzDQzMbXWPQpgqLE/QSTlUqSaUQ+7gIGm9n4qsKUmWWY2X8DXYF3W6nJ0koakY1fAMPM7Cx33xMWprQ9T2IR2SgFFodXfwh8xcx6u3tlzeXNrL2Z3UUwx9CaVmmwtJpGZsMtkB7et4DDB8hUmEpCdfMR7ijuofZ+whqCgyAZVRkJb19NUJhQUSoJNSIbfYEsd6+oKkyZWQcz+xVwLPBGa7VZWkcjstEH6BweECsLC1OdCXrYdXT33fo+2nyOiuKUmXWvcbm6ze7+YY3FzgK2eI2zwJnZCKAwvPrdlm5niqmVnRof8DuAE8xsbHh9J/AH4LPhctnAzwi6Rp7o7ne1TnOllTUmH//D4Xx8jqBXTAVwieusjsmosdk4O1xuBMHwHND2PFnV+53E3feHXxqXE8wT8+Pw9qoixAXh7QDnu3tx6zRXWlGjs1GjELUduNc0J0gyq7Vua/Sc21fj5tEE+wn7qpYJD3j8CngBOEG9ppJSo7MBYGYTgGfDq5PDooUklyPNxgCC/ViA61u6kammTQ/rM7OJBMPC3rPgVK+3h0dL0wi/e5hZOw/O3DOQ8AiamY0kmIfiTeBid38/rveQbCyYdHQ68KqZLXD3JeFdVV0aS83sXoK5hEaH66iCw0Oz9hKM49ZQrSTUhHzsDpdbC0xxd/WYSjJNyMYH4XLvAp/X9jz5RGUj7PniHszlkE4w5OIW4AUzyycY9rsfeJFgu7ElljcgLaYJ2egBmAdn7FukHlPJqSH5qLGfkEswyTVmNgbY6+5rzOwiFR6STxOy8UlgG/AywUHSonjegbSUJmZjl7uvM7Mp2pdtGW32KJKZFQA/IhjaMRsYYcG4cMJudR72wqk6zWMnINvMfktw5Kyjux/QjkzzCYt+PwTuA14FrrBgjD5hN9jysEv9vcCHZnaHmX0auIAwa+5eqg9zcmqmfKxVYSr5NDEbFi63S9vz5NOAbFSaWW/CIeDuvoNgwtp1wCygfdilXoWpJNPEbPyaoGCloXxJqhH5aB8+JA/oasEk+v8BVPWSUGEqyTRDNjq4+wcqTCWfJmbjRwQHQ9C+bMtps8Up4FPAYnd/nOA08xXA21XdssMj7PcDfSyY7PJLBF3rXnH3SR6eZlqa1WeAF9x9IfC/BF3lv1417NLMfgH82YIJi68FNgG3EazHO+NosLSqpuTjZ3E0WFqNth0SpSHZeAQ4ORzCdz5B0fIWdx8eDueS5KRsSCINzccgC87QNwW4BFjj7p91d80hlLyako1zlI2kpu1GG9dmilNm9nUzu9/MvhLe9HfgMgsmRl5MMBnZLOD7YTGqC3CVu68Pj6Z/Dxjr4dn7pOnqWSeFwP8zs2Pd/QBQBuwB/r+Z9SCoJk92903u/o67/xo4x91vi+cdSEtSPiSKsiFRjjAbF7r7cnd3gl4xw1XQTj7KhiTShHys9GC+mB8Dn3T3u2N5A9JilA2JomwcfczbwOTyYXe6Gwi6y32XoDD13wTDOWYSzBfwVzMbAjxGMGfRW+FjdVrgFlDPOnmGoKfaDILTdHcDNgAPAxcB3/DgzDlaJylA+ZAoyoZEaWI2quZ/kCSkbEgiTcxHprsfav1WS2tQNiSKsnF0aisTop8N/NTdnzKznQTdsm9y9x9bMLHlb8Pl1gJLCHpNYWZp2pFpMXXXyYXANHe/ycz6A4Pc/W9mNh7IrPFhNq2TlKB8SBRlQ6I0JRsqPiQ3ZUMSaUo+tIOZ3JQNiaJsHIViHdZnh0/ruxo4H8DdVxCcSj437Cm1CJhjZh2B7wOnEMxBhQdnaZFmlGCdLAFOMrMz3X2zu/8tXG4S8E7V470tdMWTFqN8SBRlQ6IoGxJF2ZBElA+JomxIFGXj6NaqxSkLTtGImVWdfamquLSE4HTiY8PrrwPvAZ9w918SzCPwGDAEuNjd/9Wa7U5mjVwnW4Fe4fJjzex5IJ/grDiShJQPiaJsSBRlQ6IoG5KI8iFRlA2Jomwkl1YZ1mdmY4CrgXVm9ptwgrGa8wSsB9YAU81sibu/Z8Gk54PCp7gG6Ojuxa3R3lTQhHVSEj7FJuCr7r4mhuZLC1M+JIqyIVGUDYmibEgiyodEUTYkirKRnFq855SZjQPuIRie1wf4npl9FqDGPAH7gBeALODnZpYBHAO8Hy53SIWp5tPEdbIzXG6zPszJSfmQKMqGRFE2JIqyIYkoHxJF2ZAoykbyao1hfSOBJe7+EHAr0BO4NKxcYma3An8kOI3jDILQvBBe/10rtC8VaZ1IIsqHRFE2JIqyIVGUDUlE+ZAoyoZEUTaSVLMP6zOzM4Dd7v5WeNM6YLiZ9XH3rWa2H+gBfM7MCoETgFvc/e3w8VcDnaq65knTaZ1IIsqHRFE2JIqyIVGUDUlE+ZAoyoZEUTZSR7P1nDKz7ma2APgb8AUz6xVrq60AAAZnSURBVBze9RawF3jQzP4M9ANeBrq4+1vufpm7v23hzPruXqngNA+tE0lE+ZAoyoZEUTYkirIhiSgfEkXZkCjKRuoxb6azJZpZDvB5gqAMAl5w94XhfZnAp4Ce7v6wmU0imIDs/PD+ND88s740E60TSUT5kCjKhkRRNiSKsiGJKB8SRdmQKMpG6mlSccrMpgHvAqvdfa+ZtSfojfVvgAGz3X1rPY/7AVDs7vcc8YtLvbROJBHlQ6IoGxJF2ZAoyoYkonxIFGVDoigbqa3Rw/os0Dscz3kFcDkwy8yOc/eD7l4C/J1g4rGz6jz202a2EjgTeKLpzRfQOpHElA+JomxIFGVDoigbkojyIVGUDYmibEiVRhWnzCzdg65WXYAidz8bmA7sBmZXLefuS4BNwCfMrJuZdQrvegeY4e7nuvumZmh/ytM6kUSUD4mibEgUZUOiKBuSiPIhUZQNiaJsSE0NGtZnZunAj4F0YCHQFZji7leE96cBW4Gp7v58eFtnglM7fhLIBUa6+3st8SZSkdaJJKJ8SBRlQ6IoGxJF2ZBElA+JomxIFGVD6vOxPafMbBywkqAb3QaCEJUBE8ysAIIZ8IEfhT9VJgNfBV4Bhio4zUfrRBJRPiSKsiFRlA2JomxIIsqHRFE2JIqyIVHaNWCZSuAX7v4/AGZ2GjAAmAnMAkaGlc2/AGeZWV7Ype4g8Bl3X9wiLU9tWieSiPIhUZQNiaJsSBRlQxJRPiSKsiFRlA2pV0PmnFoJPBp2vQNYAvR39weBdDO7Kaxs9gUqqsZ6uvv/KjgtRutEElE+JIqyIVGUDYmibEgiyodEUTYkirIh9frY4pS7l7h7qbtXhDedA+wIL18FDDazJ4CHgFUQzLjfEo2VgNaJJKJ8SBRlQ6IoGxJF2ZBElA+JomxIFGVDojRkWB9QPWmZAz2Bx8Ob9wHfA04BNrp7EYB7A2ZZlybTOpFElA+JomxIFGVDoigbkojyIVGUDYmibEhdDRnWV6USyAB2AsPCauYMoNLdX6wKjrQqrRNJRPmQKMqGRFE2JIqyIYkoHxJF2ZAoyobUYo0pQprZGcBL4c9v3X1uSzVMGkbrRBJRPiSKsiFRlA2JomxIIsqHRFE2JIqyITU1tjjVF/gy8Et3L22xVkmDaZ1IIsqHRFE2JIqyIVGUDUlE+ZAoyoZEUTakpkYVp0RERERERERERJpTY+acEhERERERERERaVYqTomIiIiIiIiISGxUnBIRERERERERkdioOCUiIiIiIiIiIrFRcUpERERSkpl1N7Ovhpf7mNljLfhaw81sUks9v4iIiMjRTMUpERERSVXdga8CuPtWd5/Sgq81HFBxSkRERKQe5u5xt0FERESk1ZnZw8CFwDpgPTDY3U8xsyuBzwGdgHzg50Am8GWgFJjk7rvNbCBwL5ANlABfcfe1ZnYJ8EOgAtgDfAbYAHQAioDbgY3A3UB74ABwlbuva8RrPwe8AowD2gFXu/uylvlLiYiIiLQs9ZwSERGRVHUL8La7Dwf+rc59pwAXA6OA24ASdz8N+AcwLVxmNnCTu48Evg3cF94+EzjX3U8FLnD3Q+Ftj7j7cHd/BFgLnBk+50zgJ418bYCOYdu/CjzQtD+FiIiISHzaxd0AERERkTao0N33AfvMbA/w1/D214BhZtYZ+CTwJzOrekxW+HsJ8KCZPQrMj3j+bsDvzCwfcCCjoa9dY7mHANx9sZl1NbPu7l58hO9XREREJDYqTomIiIh8VGmNy5U1rlcSfH9KA4rDnku1uPsNZjYamAysNLOR9Tz/jwmKUBeZWR7wXCNeu/ql6r50gvcjIiIi0mZpWJ+IiIikqn1AlyN5oLvvBTaG80thgVPDywPdfam7zwR2AP3qea1uBPNPAVx5ZM1navh6nwb2uPueI3weERERkVipOCUiIiIpyd13AUvM7HXgziN4isuBa8zsFWANweTqAHea2Wvh875EMHF5ITDEzF42s6nAz4DbzWw1R96T/WD4+F8D1xzhc4iIiIjETmfrExERETnKhGfr+7a7r4i7LSIiIiJNpZ5TIiIiIiIiIiISG/WcEhERERERERGR2KjnlIiIiIiIiIiIxEbFKRERERERERERiY2KUyIiIiIiIiIiEhsVp0REREREREREJDYqTomIiIiIiIiISGxUnBIRERERERERkdj8H4YeN2QtPfG9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plot Price and Circulating Supply time series\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "ax = df.plot(ax=ax, kind='line', x='timestamp', y='priceUSD', c='Blue', grid=True, style='-o')\n",
    "ax = df.plot(ax=ax, kind='line', x='timestamp', y='circulatingSupply', c='Red', grid=True, secondary_y=True, style='b')\n",
    "plt.show()\n",
    "\n",
    "# Plot Price and Volume time series\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "ax = df.plot(ax=ax, kind='line', x='timestamp', y='priceUSD', c='Blue', grid=True, style='-o')\n",
    "ax = df.plot(ax=ax, kind='line', x='timestamp', y='dailyVolumeUSD', c='Green', grid=True, secondary_y=True, style='b')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}