Demo using polars and seaborn in jupyter via uv

uv-polars-seaborn-demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bd102d93-57e0-438d-8642-2d13dbef8293",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K\u001b[2mResolved \u001b[1m16 packages\u001b[0m \u001b[2min 12ms\u001b[0m\u001b[0m                                         \u001b[0m\n",
      "\u001b[2K\u001b[2mInstalled \u001b[1m4 packages\u001b[0m \u001b[2min 21ms\u001b[0m\u001b[0m                                \u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mmatplotlib\u001b[0m\u001b[2m==3.10.0\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mpandas\u001b[0m\u001b[2m==2.2.3\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mpolars\u001b[0m\u001b[2m==1.22.0\u001b[0m\n",
      " \u001b[32m+\u001b[39m \u001b[1mseaborn\u001b[0m\u001b[2m==0.13.2\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!uv pip install polars seaborn matplotlib pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "163e6de1-0bd8-47e9-bf39-d8ea6e15bf76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (5, 7)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>species</th><th>island</th><th>bill_length_mm</th><th>bill_depth_mm</th><th>flipper_length_mm</th><th>body_mass_g</th><th>sex</th></tr><tr><td>str</td><td>str</td><td>f64</td><td>f64</td><td>i64</td><td>i64</td><td>str</td></tr></thead><tbody><tr><td>&quot;Adelie&quot;</td><td>&quot;Torgersen&quot;</td><td>39.1</td><td>18.7</td><td>181</td><td>3750</td><td>&quot;MALE&quot;</td></tr><tr><td>&quot;Adelie&quot;</td><td>&quot;Torgersen&quot;</td><td>39.5</td><td>17.4</td><td>186</td><td>3800</td><td>&quot;FEMALE&quot;</td></tr><tr><td>&quot;Adelie&quot;</td><td>&quot;Torgersen&quot;</td><td>40.3</td><td>18.0</td><td>195</td><td>3250</td><td>&quot;FEMALE&quot;</td></tr><tr><td>&quot;Adelie&quot;</td><td>&quot;Torgersen&quot;</td><td>null</td><td>null</td><td>null</td><td>null</td><td>null</td></tr><tr><td>&quot;Adelie&quot;</td><td>&quot;Torgersen&quot;</td><td>36.7</td><td>19.3</td><td>193</td><td>3450</td><td>&quot;FEMALE&quot;</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (5, 7)\n",
       "┌─────────┬───────────┬────────────────┬───────────────┬───────────────────┬─────────────┬────────┐\n",
       "│ species ┆ island    ┆ bill_length_mm ┆ bill_depth_mm ┆ flipper_length_mm ┆ body_mass_g ┆ sex    │\n",
       "│ ---     ┆ ---       ┆ ---            ┆ ---           ┆ ---               ┆ ---         ┆ ---    │\n",
       "│ str     ┆ str       ┆ f64            ┆ f64           ┆ i64               ┆ i64         ┆ str    │\n",
       "╞═════════╪═══════════╪════════════════╪═══════════════╪═══════════════════╪═════════════╪════════╡\n",
       "│ Adelie  ┆ Torgersen ┆ 39.1           ┆ 18.7          ┆ 181               ┆ 3750        ┆ MALE   │\n",
       "│ Adelie  ┆ Torgersen ┆ 39.5           ┆ 17.4          ┆ 186               ┆ 3800        ┆ FEMALE │\n",
       "│ Adelie  ┆ Torgersen ┆ 40.3           ┆ 18.0          ┆ 195               ┆ 3250        ┆ FEMALE │\n",
       "│ Adelie  ┆ Torgersen ┆ null           ┆ null          ┆ null              ┆ null        ┆ null   │\n",
       "│ Adelie  ┆ Torgersen ┆ 36.7           ┆ 19.3          ┆ 193               ┆ 3450        ┆ FEMALE │\n",
       "└─────────┴───────────┴────────────────┴───────────────┴───────────────────┴─────────────┴────────┘"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import polars as pl\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# Load the Palmer Penguins dataset\n",
    "penguins_pl = pl.read_csv(\"https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv\")\n",
    "\n",
    "# Display the first few rows\n",
    "penguins_pl.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "73565feb-fbb5-4120-943a-de9f29651a0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (9, 8)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>statistic</th><th>species</th><th>island</th><th>bill_length_mm</th><th>bill_depth_mm</th><th>flipper_length_mm</th><th>body_mass_g</th><th>sex</th></tr><tr><td>str</td><td>str</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td></tr></thead><tbody><tr><td>&quot;count&quot;</td><td>&quot;344&quot;</td><td>&quot;344&quot;</td><td>342.0</td><td>342.0</td><td>342.0</td><td>342.0</td><td>&quot;333&quot;</td></tr><tr><td>&quot;null_count&quot;</td><td>&quot;0&quot;</td><td>&quot;0&quot;</td><td>2.0</td><td>2.0</td><td>2.0</td><td>2.0</td><td>&quot;11&quot;</td></tr><tr><td>&quot;mean&quot;</td><td>null</td><td>null</td><td>43.92193</td><td>17.15117</td><td>200.915205</td><td>4201.754386</td><td>null</td></tr><tr><td>&quot;std&quot;</td><td>null</td><td>null</td><td>5.459584</td><td>1.974793</td><td>14.061714</td><td>801.954536</td><td>null</td></tr><tr><td>&quot;min&quot;</td><td>&quot;Adelie&quot;</td><td>&quot;Biscoe&quot;</td><td>32.1</td><td>13.1</td><td>172.0</td><td>2700.0</td><td>&quot;FEMALE&quot;</td></tr><tr><td>&quot;25%&quot;</td><td>null</td><td>null</td><td>39.2</td><td>15.6</td><td>190.0</td><td>3550.0</td><td>null</td></tr><tr><td>&quot;50%&quot;</td><td>null</td><td>null</td><td>44.5</td><td>17.3</td><td>197.0</td><td>4050.0</td><td>null</td></tr><tr><td>&quot;75%&quot;</td><td>null</td><td>null</td><td>48.5</td><td>18.7</td><td>213.0</td><td>4750.0</td><td>null</td></tr><tr><td>&quot;max&quot;</td><td>&quot;Gentoo&quot;</td><td>&quot;Torgersen&quot;</td><td>59.6</td><td>21.5</td><td>231.0</td><td>6300.0</td><td>&quot;MALE&quot;</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (9, 8)\n",
       "┌────────────┬─────────┬───────────┬─────────────┬─────────────┬─────────────┬────────────┬────────┐\n",
       "│ statistic  ┆ species ┆ island    ┆ bill_length ┆ bill_depth_ ┆ flipper_len ┆ body_mass_ ┆ sex    │\n",
       "│ ---        ┆ ---     ┆ ---       ┆ _mm         ┆ mm          ┆ gth_mm      ┆ g          ┆ ---    │\n",
       "│ str        ┆ str     ┆ str       ┆ ---         ┆ ---         ┆ ---         ┆ ---        ┆ str    │\n",
       "│            ┆         ┆           ┆ f64         ┆ f64         ┆ f64         ┆ f64        ┆        │\n",
       "╞════════════╪═════════╪═══════════╪═════════════╪═════════════╪═════════════╪════════════╪════════╡\n",
       "│ count      ┆ 344     ┆ 344       ┆ 342.0       ┆ 342.0       ┆ 342.0       ┆ 342.0      ┆ 333    │\n",
       "│ null_count ┆ 0       ┆ 0         ┆ 2.0         ┆ 2.0         ┆ 2.0         ┆ 2.0        ┆ 11     │\n",
       "│ mean       ┆ null    ┆ null      ┆ 43.92193    ┆ 17.15117    ┆ 200.915205  ┆ 4201.75438 ┆ null   │\n",
       "│            ┆         ┆           ┆             ┆             ┆             ┆ 6          ┆        │\n",
       "│ std        ┆ null    ┆ null      ┆ 5.459584    ┆ 1.974793    ┆ 14.061714   ┆ 801.954536 ┆ null   │\n",
       "│ min        ┆ Adelie  ┆ Biscoe    ┆ 32.1        ┆ 13.1        ┆ 172.0       ┆ 2700.0     ┆ FEMALE │\n",
       "│ 25%        ┆ null    ┆ null      ┆ 39.2        ┆ 15.6        ┆ 190.0       ┆ 3550.0     ┆ null   │\n",
       "│ 50%        ┆ null    ┆ null      ┆ 44.5        ┆ 17.3        ┆ 197.0       ┆ 4050.0     ┆ null   │\n",
       "│ 75%        ┆ null    ┆ null      ┆ 48.5        ┆ 18.7        ┆ 213.0       ┆ 4750.0     ┆ null   │\n",
       "│ max        ┆ Gentoo  ┆ Torgersen ┆ 59.6        ┆ 21.5        ┆ 231.0       ┆ 6300.0     ┆ MALE   │\n",
       "└────────────┴─────────┴───────────┴─────────────┴─────────────┴─────────────┴────────────┴────────┘"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Summary statistics\n",
    "penguins_pl.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "15dc5f4e-dc25-454c-9d6e-cae2cdd82b12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (3, 3)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>species</th><th>mean_flipper_length_mm</th><th>mean_body_mass_g</th></tr><tr><td>str</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;Adelie&quot;</td><td>189.953642</td><td>3700.662252</td></tr><tr><td>&quot;Chinstrap&quot;</td><td>195.823529</td><td>3733.088235</td></tr><tr><td>&quot;Gentoo&quot;</td><td>217.186992</td><td>5076.01626</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (3, 3)\n",
       "┌───────────┬────────────────────────┬──────────────────┐\n",
       "│ species   ┆ mean_flipper_length_mm ┆ mean_body_mass_g │\n",
       "│ ---       ┆ ---                    ┆ ---              │\n",
       "│ str       ┆ f64                    ┆ f64              │\n",
       "╞═══════════╪════════════════════════╪══════════════════╡\n",
       "│ Adelie    ┆ 189.953642             ┆ 3700.662252      │\n",
       "│ Chinstrap ┆ 195.823529             ┆ 3733.088235      │\n",
       "│ Gentoo    ┆ 217.186992             ┆ 5076.01626       │\n",
       "└───────────┴────────────────────────┴──────────────────┘"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by species and calculate mean flipper length\n",
    "penguins_pl.group_by('species').agg(\n",
    "    [\n",
    "        pl.col('flipper_length_mm').mean().alias('mean_flipper_length_mm'),\n",
    "        pl.col('body_mass_g').mean().alias('mean_body_mass_g')\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ec19737-e06f-4697-b31f-fee7862bcb0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><style>\n",
       ".dataframe > thead > tr,\n",
       ".dataframe > tbody > tr {\n",
       "  text-align: right;\n",
       "  white-space: pre-wrap;\n",
       "}\n",
       "</style>\n",
       "<small>shape: (8, 5)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>species</th><th>sex</th><th>mean_flipper_length_mm</th><th>mean_body_mass_g</th><th>count</th></tr><tr><td>str</td><td>str</td><td>f64</td><td>f64</td><td>u32</td></tr></thead><tbody><tr><td>&quot;Adelie&quot;</td><td>null</td><td>185.6</td><td>3540.0</td><td>5</td></tr><tr><td>&quot;Chinstrap&quot;</td><td>&quot;MALE&quot;</td><td>199.911765</td><td>3938.970588</td><td>34</td></tr><tr><td>&quot;Adelie&quot;</td><td>&quot;MALE&quot;</td><td>192.410959</td><td>4043.493151</td><td>73</td></tr><tr><td>&quot;Gentoo&quot;</td><td>&quot;FEMALE&quot;</td><td>212.706897</td><td>4679.741379</td><td>58</td></tr><tr><td>&quot;Adelie&quot;</td><td>&quot;FEMALE&quot;</td><td>187.794521</td><td>3368.835616</td><td>73</td></tr><tr><td>&quot;Gentoo&quot;</td><td>null</td><td>215.75</td><td>4587.5</td><td>4</td></tr><tr><td>&quot;Gentoo&quot;</td><td>&quot;MALE&quot;</td><td>221.540984</td><td>5484.836066</td><td>61</td></tr><tr><td>&quot;Chinstrap&quot;</td><td>&quot;FEMALE&quot;</td><td>191.735294</td><td>3527.205882</td><td>34</td></tr></tbody></table></div>"
      ],
      "text/plain": [
       "shape: (8, 5)\n",
       "┌───────────┬────────┬────────────────────────┬──────────────────┬───────┐\n",
       "│ species   ┆ sex    ┆ mean_flipper_length_mm ┆ mean_body_mass_g ┆ count │\n",
       "│ ---       ┆ ---    ┆ ---                    ┆ ---              ┆ ---   │\n",
       "│ str       ┆ str    ┆ f64                    ┆ f64              ┆ u32   │\n",
       "╞═══════════╪════════╪════════════════════════╪══════════════════╪═══════╡\n",
       "│ Adelie    ┆ null   ┆ 185.6                  ┆ 3540.0           ┆ 5     │\n",
       "│ Chinstrap ┆ MALE   ┆ 199.911765             ┆ 3938.970588      ┆ 34    │\n",
       "│ Adelie    ┆ MALE   ┆ 192.410959             ┆ 4043.493151      ┆ 73    │\n",
       "│ Gentoo    ┆ FEMALE ┆ 212.706897             ┆ 4679.741379      ┆ 58    │\n",
       "│ Adelie    ┆ FEMALE ┆ 187.794521             ┆ 3368.835616      ┆ 73    │\n",
       "│ Gentoo    ┆ null   ┆ 215.75                 ┆ 4587.5           ┆ 4     │\n",
       "│ Gentoo    ┆ MALE   ┆ 221.540984             ┆ 5484.836066      ┆ 61    │\n",
       "│ Chinstrap ┆ FEMALE ┆ 191.735294             ┆ 3527.205882      ┆ 34    │\n",
       "└───────────┴────────┴────────────────────────┴──────────────────┴───────┘"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by species and sex, calculate mean and count\n",
    "penguins_pl.group_by(['species', 'sex']).agg(\n",
    "    [\n",
    "        pl.col('flipper_length_mm').mean().alias('mean_flipper_length_mm'),\n",
    "        pl.col('body_mass_g').mean().alias('mean_body_mass_g'),\n",
    "        pl.col('body_mass_g').count().alias('count')\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "97abef08-3b33-48c2-a85a-14c5fedc7631",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QYyx1bR2FLVOPFMKKdWC8YM6cOeLRpyJOUayL1sgpilJkYe0YOz5ZfM96Qtbn0XqC9hjWNDMuqrCGkXWNrKFkLSNtPhRFsS4q5BRFKbLQtJeF7mziYNct7TXYUPDZZ5+lKYxXsg7vKS1DaBdCE2JOklAUxbpojZyiKIqiKEoBRWvkFEVRFEVRCigq5BRFURRFUQooWiOXCTibj67rNOzMyVE9iqIoiqIohJVvnLbDRiwasltChVwmoIgrX758Xl+GoiiKoihFjCtXrsgUF0uokMsEjMQZbibHECmKoiiKouQkoaGhEkQyaBBLqJDLBIZ0KkWcCjlFURRFUXKLjEq6tNlBURRFURSlgKJCTlEURVEUpYCiQk5RFEVRFKWAojVyVmwT5vDthISEvL4UJZvY2dnBxsYmry9DURRFUTJEhZwViI2NxY0bNxAZGZnXl6JYqbCUrd6urq55fSmKoiiKki4q5KxgFnzhwgWJ4NC0z97eXk2DC3hklYO+r169iurVq2tkTlEURcnXqJCzQjSOYo5eL87Oznl9OYoV8PHxwcWLFxEXF6dCTlEURcnXaLODlUhvfIZSsNCIqqIoilJQUPWhKIqiKIpSQFEhpyiKoiiKUkDRGjklTxgwYACCg4OxdOnSvL4URVGUQs2tiFs4cecE9t7ai3Ku5dCmbBuUci4Fexv7vL40xQqokFPyhOnTp0uHqKIoipJzXA27ikGrB+F6xHXjOtvitpjZeSbuK3Uf7Gzs8vT6lOyjqVUlT/Dw8ICnp2deX4aiKEqhJSw2DJ/s+iSFiCPxifF4ff3r8I/yz7NrU6yHCrkizB9//IH69evDyckJJUuWRJcuXRARESFpz969e+PDDz8UKw53d3cMGTJErFYM0HLl008/ReXKleX1DRs2lOOZcuzYMTz00EPyejc3N7Rr1w7nzp2TbYZzZPZ4QUFB6Nu3r1wPt9Pjbe7cublynxRFUQoiQdFB2Hptq9lt0QnROBt0NtevSbE+mlotonASxTPPPINJkybh0UcfRVhYGLZs2WJMd65btw6Ojo7YuHGjeKoNHDhQxN7EiRNlO0XXL7/8glmzZomo2rx5M5577jkRWh06dMC1a9fQvn17dOzYEevXrxcxt23bNhljZo6Mjjdu3DgcP34cq1atgre3N86ePYuoqKhcvWeKoigFibjEOCTBcglLSGxIrl6PkjOokCvCQo6i6rHHHkPFihVlHaNzBjih4scffxST47p16+Kjjz7C6NGjMWHCBDHK/eSTT7B27Vq0atVK9q9SpQq2bt2K2bNni/CaOXOmpE9///13mV1KatSoYfZaYmJiMjze5cuX0bhxYzRr1ky2V6pUKcfvkaIoSkHGzc4Nvs6+8I80n0Kt7VU7169JsT4q5IooTF127txZxFu3bt3QtWtXPP744yhRooRxu+mkCgqs8PBwXLlyRZ45V/aBBx5IcUymXim2yMGDByWVahBx6cHoWkbHe+WVV9CnTx/s379frpVp2datW1vlXiiKohRGfJx9MOa+MRi1aVSabZ0rdIaPk0+eXJdiXVTIFVE4emrNmjXYvn07/vvvP3z99dd49913sWvXrgxfSyFHVqxYgbJly6bY5uDgIM+sY8ssmTlejx49cOnSJaxcuVKumyJ02LBhmDx5cqbPoyiKUtSm1LTya4Vvu3yLyXsn41zwOXg4eKBfnX54tNqj8HTUhrPCgAq5Iv6PvE2bNvJ4//33JcX6119/ybZDhw5JDZpBkO3cuROurq4yU9bLy0sEFtOdTHuao0GDBpg3b56kYTOKytWpUyfD4xHWy/Xv318ejPYx1atCTlEUxTJu9m5oW7atpFFjEmJgU8wG3k7esCmuc6QLCyrkiiiMvLGhgWlKX19fWQ4ICEDt2rVx+PBhSWsOGjQI7733njQ7jB8/Hq+++qrMlGUH6ptvvomRI0dKt2nbtm0REhIizQxsaqDQ4r6M8j399NMYO3as1MtRDDZv3hw1a9ZMcS2ZOR6FZtOmTaVejzV1y5cvl2tVFEVRMqakU8m8vgQlh1AhV0ShQGJn6LRp0xAaGirRuClTpkgKc+HChZK6ZPcoO08pnNjh+sEHHxhfz6YHRsjYbXr+/HnxhGvSpAneeecd2c4OV3arMmrGKBtTuY0aNZLonzkyOh6bLygIKSoZJWREjo0UiqIoilKUKZak9voZQqHDiBKjRBRApkRHR+PChQvif0a7jsJAUR+fVRg/U0VRFKXwaA9T1BBYURRFURSlgKJCTlEURVEUpYCiNXJKGn766ae8vgRFURRFUTKBRuQURVEURVEKKCrkFEVRFEVRCigq5BRFURRFUQooKuQURVEURVEKKCrkFEVRFEVRCigq5BRFURRFUQooKuSULMExXRy1lVk4UqtYsWI4ePCgLG/cuFGWOTlCURRFUZTsoUIuHxESGYtz/uE4cDkI5wLCZTk32LFjh8xC7dmzZ46fq3Xr1rhx44aMHVEURVEUJXuoIXA+4XpwFMYsOYwtZ24b17Wv7o3P+jSAn6dTjp57zpw5GD58uDxfv34dfn5+OXYue3t7lC5dOseOryiKoihFCY3I5QMYeUst4sjmM7fx9pLDORqZCw8Px8KFC/HKK69IRC71VIfPPvsMpUqVgpubGwYNGiQD5VPzww8/oHbt2jJgvlatWvjmm28sns9canXr1q1o164dnJycUL58ebz22muIiIiw8jtVFEVRlPSJT4jHjfAbOHb7GE7dOQX/SH/kd1TI5QNuh8emEXGmYo7bc4pFixaJ+KpZsyaee+45/Pjjj0hKSjJuY03cJ598gr1796JMmTJpRNqCBQvw/vvvY+LEiThx4oTsO27cOMybNy9T5z937hy6d++OPn364PDhwyIqKexeffXVHHm/iqIoimKOsNgwLL+wHI8tewxPr3gaj//zOPqu7IuD/gcRnxiP/IoKuXxAaHRcutvDMtieHZhOpYAjFFQhISHYtGmTLE+bNk2icHxQ6H388ceoU6dOitePHz8eU6ZMwWOPPYbKlSvL88iRIzF79uxMnf/TTz9F3759MWLECFSvXl1q6L766ivMnz/fbPRPURRFUXKCE4EnMG7bOITHhRvX3Yy4icH/DZYoXX5FhVw+wN3RLt3tbhlsv1dOnTqF3bt345lnnpFlW1tbPPXUUyLuCCNsLVq0SPGaVq1aGX9m+pMRNQo9V1dX44OCj+szw6FDhySda/r6bt26ITExERcuXLDq+1UURVEUcwTHBOPrA1+b3RaTEINVF1chv6LNDvkAb1d7aWxgGjU1XM/tOQEFW3x8fIrmBqZVHRwcMGPGjEzV15Hvv/8+jeBjF2xm4DFefvllqYtLTYUKFTJ1DEVRFEXJDjHxMTgfct7i9sMBhxGXGAe74jkTWCnQEblr165Jaq9kyZJS7F6/fn2pxzIVFqzBYn0Wt3fp0gVnzpxJcYw7d+5Ies7d3R2enp4SITKIDAOsv2JBPQvyWVA/adIk5Bc8nO2lO5WizRQuf96ngWy3NhRwTF8yLUqPN8ODETIKu99++00aGHbt2pXidTt37jT+zCYI7nv+/HlUq1YtxYNp1szQpEkTHD9+PM3r+WCHq6IoimKZxKRESf/tu7kPay6uwdngswiOzppPZ1RcFK6GXcWmq5uw6com+TkyPhJFCQcbB1Rwtxw8qOVVK1+KuDyPyAUFBaFNmzbo1KkTVq1aBR8fHxFpJUqUMO5DwcWaKRbPUxywkJ6pN375U5QRijh6k61ZswZxcXEYOHAgXnrpJfz666+yPTQ0FF27dhUROGvWLBw5cgQvvPCCiD7ulx+gxcjXzzSWxgbWxDGdykhcTog4snz5crn/FL2pPd3YeMBo3ZtvvokBAwagWbNm8jmxseHYsWOoUqWKcd8PP/xQomk8BmvsYmJiRIjz2G+88UaG1zFmzBi0bNlSmhsGDx4MFxcX+Wz5WWYmKqgoilJUSUhMwMk7J/HK2lcQFBNkXN+xXEe83+p9+Dj7ZKrAf+WFlfhs92fGgn7bYrYY1WwUHq76MNwd3FEU8HT0xLBGw+Repsa2uC16Ve2FfEtSHjJmzJiktm3bWtyemJiYVLp06aQvvvjCuC44ODjJwcEh6bfffpPl48ePs8Uyac+ePcZ9Vq1alVSsWLGka9euyfI333yTVKJEiaSYmJgU565Zs2amrjMkJETOwefUREVFyTXwuSDx0EMPJT344INmt+3atUve76FDh5ImTpyY5O3tneTq6prUv3//pLfeeiupYcOGKfZfsGBBUqNGjZLs7e3lPrdv3z7pzz//lG0XLlyQYx04cECWN2zYIMtBQUHG1+/evTvpgQcekHO4uLgkNWjQQM6bVxTUz1RRlKLFtbBrSa0WtEqq91O9NI/JeyYnxcTf/c6zxGH/w2Zfz8f+m/uTihLB0cFJPx/7OanJ/CbGe9Dut3ZJO6/vzNS9tDbpaQ9TivE/eSUi2QHJ6NrVq1elU7Js2bIYOnQoXnzxRdnOlF3VqlVx4MCBFGOhOnToIMvTp08Xu4xRo0ZJBMg0bcho3eLFi/Hoo4+iX79+EpVbunSpcZ8NGzbg/vvvl7SsaQSQMKrEhwG+lulYdnQyfWsKOytZlM9ooSFCqBRs9DNVFKUgsP7yery+4XWz25xsnbD0kaXwc7Vs8B4dH42xW8di7aW1Zrd3KNcBk9pPgrOdM4pSrdztqNsIiAqQVGpJp5LwcfKBTfHM1X1bE2oPZrvMaY98UyNHofbtt9+K7cTq1avFlJZpOoMH2c2bN421WKZw2bCNz76+vim2s/vSy8srxT7mjmF6jtSWGLx5hgdFnKIoiqLkJ1jLZomo+CjEJqTvQRqdEI3rYdctbr8efl3EXlHCwdYBZd3KopFvI9T1rovSLqXzRMQVmBo5Wkyw/oomsqRx48Y4evSo1LH1798/z65r7NixKeq7DBE5RVEURckv1C5Z2+I2bydvicqlh4utCxr6NsTxO8fNbq/vXR8udi5SO8eGiv239uNK2BV5TXXP6ijlkjJAUhC4EX4DJ+6cwPHA46heorq8xzIuZWTiUEElT4UcO1FTG8yyU3LJkiXys2Em561bt2RfA1w2pFq5j79/yhEaTK0yZWp4PZ/5GlMMy+bmftJ+gw9FURRFya9UdK8oj0uhl9JsG954OHydU2arUmNnY4dnaj2DP07/IdYaqQv8+9ftL9GoQwGH8PKal8VPzUBZ17L4oesPKOdWDgWFc8Hn8MLqF3An+o5xnbu9O37s9iNqetVEQSVPU6vshKQprSmnT59GxYoV5WfWKFForVu3LkV0jJYYBmNaPnNu5759+4z7rF+/XqJ9Bm8z7rN582bpaDXArkhOK0hdH6coiqIoBQEKtdldZqOtX9sUwmRs87HoVL5TpqJM5VzLiZCp5F7JuK6CWwWjSAuIDMCr615NIeLItfBrmLBzgnS9FgQCowLxxsY3Uog4EhobitfWvybvs6CSpxE5jnLiSCamVp988kmZMvDdd9/Jg/CXkKObOCmAdXQG+xF6l/Xu3dsYwaPtBRskmJKlWKOVxdNPP200un322WfFJoNWG7S7YPqWjRJTp07Ny7evKIqiKNmC9Vyfd/gcQdFBIrbc7N2kOJ8RtczAqBzrweZ2m4uQ2BDxbvVw8DBalzDaZzqyypTt17fLeXnO/M6d6DsWDX+vR1xHYHRgpuxa8iN5KuTuu+8+/PXXX1KT9tFHH4lQ43xP+sIZeOutt2QUFP3eGHlr27Yt/v333xTdhPQ3o3jr3LkzihcvLj5o9J4zwIaF//77D8OGDUPTpk3h7e0tJsP5xUNOURRFUe4VRuH4yA7ezt7yMDe6Kj1SR+ryKzEZXCebQwoqeT6i66GHHpKHJRiVo8jjwxLsUDWY/1qiQYMG2LJlS7auVVEURVGKEtU8q1nc5uXoVSCicaSEQwnYF7dHbGLaTl6bYjbSHFJQyfMRXYqiKIqi5E+YbuxSoYvZbSObjsywoSK/4O3kjcENBpvd1rd2X5R0LImCSp5H5BRFURRFyZ+wXu6dFu+IVccvx39BWFyYNEG80fQNNC/dHMWLFS8w/nBP1XxK6ge/PfQt/CP9RbwNrj8YD1Z+sECbHquQUzKE6W3WMhoaTFKzceNGmZfL6RqcX6soiqIUrqjcSw1ewmPVHxNPOQ6YL4iNAV6OXuhTvQ/alWuHuIQ4mdzA91FQxKglCvbVFzaigoDbp4Gre4HbZ5KXcwFOtxg+fDiqVKki/nk0P+7Vq1cK25f0YOfxjRs3pKnEGnzwwQcpRrIpiqLcC/yypu1EaExonl4Hz8/r4PUUVNgFyykHjMYVRBFnGpgo5VxK3gcNjc2JuITEBNyJuoPg6PQbPfILGpHLL4RcA/5+FTi//u66qp2Bh78GPMrm2GkvXrwofn6MpH3xxReoX7++WLhwZBq7fE+ePJnhMezt7c0aK+c0vE47O7tcP6+iKPkbWmhcDb+KhScXYsu1LVKQP6DuADT2bSyzM3MLircD/gfw07GfxG+tfbn2eLLmk+LdVpAnCRRmrodfx7Jzy7D64mrY29hL/VyrMq3ytXjViFx+gJG31CKOnFsHLBueo5G5oUOHyv9Q6OFH25YaNWqgbt26MqJs586dxv1u376NRx99FM7OzuLpt2zZshSpVR6D9jDkp59+EmFIMUifP1dXV/H6Y9TO9DXNmzeHi4uL7EsxeenSJXktPf8OHTokx+SD6wh/5mzehx9+WF43ceJEJCQkiD8grWucnJzE5JkegaYMGDBA0sI8ro+PjwwfHjJkCGJj059DqChKweRi6EU89c9TmHd8nniHcTLByI0jMWnPJPE9yw14Hp6P5+X5eR0UdLwuXp+S/7gWfg3Pr3oeMw/OxNngszLG692t7+LtLW/na8NgFXL5gYiAtCLOVMxxew7AMWb05GPkjcIoNab1bhRBNG0+fPgwHnzwQfH64+stERkZicmTJ+Pnn3+WqRqXL1/Gm2++aRyhRmHVoUMHOd6OHTvE049C7amnnsKoUaNETFL48cF1pmlXCsojR47ghRdekAke5cqVw+LFi3H8+HHxB3znnXewaNGiFNfDNPGJEydEQP7222/4888/5T0pilK4iIiNwLR906QoPzUrL6yUiEtuwPPwfKnhdU3fPx0RcRG5ch1K5mDa+9cTv0oTRGp239yN00GnkV/R1Gp+IDo0e9vvkbNnz0oKolatWhnuy6jWM888Iz9zEgcNlxnFY6TNUtqTkzaqVq0qyzRsNngBcsxaSEiI+AcatjNyZ4ARPFtbW7PpWk7pGDhwYIp1poKMkTkKQwo5Ck/T9O+PP/4oEUWKRF7L6NGjMWHCBDGRVhSlcMCRSxuvbrS4fd3ldajrXTfHr2Pt5bUWt224skHq5jiQXskfBMUEYcX5FRa3Lzm9BC3KtMj0xIzcRL/B8gOO7tnbfo9QxGUWGiobYPSO6Ul//7R/uRigYDKINFKmTBnj/jRwpjDs1q2bNFUwFWqadk2PZs2apVk3c+ZMmdjBtClFIEe8MQJoSsOGDeWaDHD+bnh4OK5cuZKp8yqKUnAons5XW251KKZ7DdymJXJ5Oq7rZsRNqWHM7O8G/+Avlk8/NBVy+QEXn+TGBnNwPbfnAKx1YzozMw0NqZsK+DqmNbOyv6lwnDt3rkTO2PG6cOFCqc0zrcmzROoU8O+//y4pW9bJcQzbwYMHJWKn9W+KUnR9z7pUNG9gS9LbZk0eqPhAuts87K3T5a9knpCYEGy8shGDVw9GjyU9MPDfgdLUwHpGLwcvPFLtEYuvfbLGk7ApboP8iAq5/IBTieTu1NRiztC1yu05ACNjjIoxosV5tqkxNC/kFI0bN5Y5u9u3b0e9evWMY9aYBmUTQ2bYtm2biEE2bfB41apVw7lz59Lsx+aJqKi7s/QoGhm9o9WKoiiFBxq7Dm88XEYymfsyLuNcJleug1YdPJ85L7NXG79aoA1oCyKxCbGSOh2+fjjOBJ9BfFI8LoRewJub3sQfp/+Q5d7VektHcWra+rWFn6sf8iv5L9lbVKHFyONzkhsbWBPHdCojcTkk4gxQxLFjlB2krBtjCpXNCGvWrJEOUTYIWJsLFy5I+pPdp35+fjh16hTOnDmDfv36yfZKlSrJPoyusZHBzc1N/O0sRRXnz58vHbKsj2NzxZ49e+RnUxihY9TuvffeE8uV8ePHS92e1scpSuGjgnsF/PbQb/j3wr9Yf3m9ROn61emHml414eGYO5EwT0dPDGs8TKJv84/Pl2jQ/RXuR/fK3VHWNecspRTz3I66jWn7p5ndxkkPvar0wm8nfsPo+0bjTNAZsa1xtHFEt0rdkIQk6WCl91x+RIVcfoKiLYeFW2poArx//36x8mC3KGvVWGvGmjMKuZyAtWpM586bNw+BgYFSP8fO2Zdfflm20waFXaWcFsGoINOwrKkzB19z4MAB6Wxl+pYNGYzOrVq1KsV+nTt3FtHXvn17xMTEyH7sgFUUpXBCsUTvuCdqPCEO/k52Trl+DYy+tfRriYY+DRGXGCfNDfk1PVfYCYoOQlT83ayMKfxs2E284sIKLDi5APW866GJbxOZYvHDkR9wPeI6OpXvJEI8PzY7FEvKSsV7EYVdlpxawE5LFvmbEh0dLdEjRoAcHR3z7BoVy1AEUhAuXbo0U/vrZ6ooSlGDUwzY8Uvc7d0loliYOHXnFB7/53GL25c+shTD1g0TLzlzPFL1EXzU5qNcHeeVnvYwRfNKiqIoilJE4TgqeqSxdqznXz3l8eq6V3HyzkmJSBUWvBy9zNa/EW8nb3jae+KZWskWW+bgRI78OpM1f16VoiiKoig5DiNQz618DgcDDhrXHbp9CP1W9bMYnSqI+Dj7YEqHKXC2Tdlkwjq4aR2nwcvJCz0q90Ajn7RzvvvX6Y8KbhWQX8l/yV5FsTKGEV+KoijKXeIT4rHkzBKztWNcx+L/N5q9ITNHCwM1vWpiycNLsPXaVhwOOIzaJWujY/mOKONSRmqsfZ198WXHL3Eu+JzUy7nauaJX1V7wc/HL16lmFXKKoiiKUgQJjw/HzuuW/Ts5mio8LhxeNl4oDNgUt5HO06drPS0PS5E7PtikUlBQIacoiqIoedhkcCfmDsJiw+Bi6wJPB094O3vnyrkdijuIaIGFsdklnUrCvrj1onEcPM/u0cSkRIlw+Tj55Lsu3pj4GNyKvIXgmGDYFrMV65qybvnbLkaFnKIoiqLkAdfDr+Pbg99i+fnlYkhL2vi1wbst3kV595w3K6clCy1aNl3dZHb7oPqD4Grvmu3zsGni2O1jGLNljLHujoL1vZbvoW3Ztvlm5mxgZKD4x03eN1l8/0h5t/KY2HYi6njVgYOteT/TvEabHRRFURQllwmNCcXsw7Ox9NxSo4gj265vw9itY3Ez/GauXEd1z+oY0mBImvWD6g1CzRI1rSZYB/03KEXzBCNenKrAerT8wtmQsxi3fZxRxJErYVfw8pqXxUsuv6IROUVRFEXJZW5H38ayc8vMbjsUcEjSraVdS+f4dXDSRf+6/dGzSk/su7VPphg0LdVULDnc7N2yfXymUf85/w9iEmLMbp95cCYmd5hslXNlB/8If3xz8Buz29j4serCKgxtNBT5ERVyiqIoipLLsCYuPZ+2G+E3UKdknVy5FqZP+ajkUSlHZpyyQ9QS9LCjUMprIRedEI2zwWctbueIruj4aDja5j+TeBVyiqIoimKGwKhABEQFSPF7KedSUpzPBgBrQGsLGswyYmUOaUIoYKniO9F3cDnsskyGKO1SWu4Zx6NV9ayK7de3m31dedfycLDJ+9ozext7MQw+fue42e2V3SuLiOPn5R/pjxsRNxAeGy41dDQbdnewPHkhp1Ehl49gXp7/EPiXGv864S8HO2Zymps3b+LTTz/FihUrcPXqVRkJUq1aNTz33HPo37+/zEa1Bh07dkSjRo0wbZr5wcWKoij5BdZzvb7+dZwKOmVcx5qx6Z2mW6WLsYRDCXQs1xHrr6xPs43Cx1qCMbcG0k/eM1m81wyUdCyJmZ1nilfb49Ufx68nfkVCUkKa1w5pNCRXvucygsLzxQYvYuTGkWm2sXv14WoPSwSVkTlOvgiKCTJu712tN15v8rqko/MCbXbIJ9yMuIm3Nr+Fh5c+jL4r+8rzmM1jZH1Ocv78eTRu3Bj//fcfPvnkExlAv2PHDrz11ltYvnw51q5dm6PnVxRFyW/QImPMpjEpRBzhMjsvuT27cJLAW/e9hRalW6RYX82zGqZ2nIqyrvnb8sIAxc2iU4tSiDgSGB2Iwf8Nlu8wvpev7v9KopAGGKkb3Ww06pasi/xCfe/6GNpwKGyL341xMbo4tdNU+Ln64VbELXlPpiKOLD27FMvOLpNxZ3lBsaSkpKQ8OXMBIr3BtdYYsM5IHEWcudAzW9E/b/95jv3F0r17dxw7dgwnT56Ei0vaFnD+etDxmkPn33zzTfz999+IiYlBs2bNMHXqVDRs2FD2++CDD2Qo/ahRozBu3DgEBQWhR48e+P777+Hm5iaD6+fNm5fi2LxvlSpVwqZNmzB69GgcOnQIXl5eEgX8+OOPYWub/I+J5+P233//XT4Lw7nvu+++HLkn1vhMFUUpuLCTsvffvS1u//uRv1HFs4pVzkVxwA5OputKOJaQTAxFQ0GBKcY+f/dBWFyY2e0ci9W1UlcRfPSRY5o6LjFOpiXwvdICJb+liAOjA6VGkelWptMZraP1yD/n/sE7W98x+zraqfzR6w+UcimVK9rDFE2t5gOYTrVUP8BWdG7PCSEXGBhojMSZE3GEIo488cQTcHJywqpVq+QXa/bs2ejcuTNOnz4t4oucO3dOxBwjeRRyTz75JD777DNMnDgR06dPl33r1auHjz76SPb38fHBtWvX8OCDD4rQmz9/vgjKF198UQQUxSFhdHDJkiUiBCtWrIhJkyahW7duOHv2rPHciqIo1iIiLiLd7Zx2YC34xc8Hx0cVROIS4iyKOHIp9JI8M8pVxrWMPPIz7g7u8qjsUTnNtouhFy2+jmKcAjUv0NRqPoA1cdnZfq9QCDHiVrNmyv+BeHt7w9XVVR5jxozB1q1bsXv3bixevFiiYdWrV8fkyZPh6emJP/74w/i6xMREmWtKsdauXTs8//zzWLdunWyj+LO3t5d6u9KlS8vDxsYG33zzDcqXL48ZM2agVq1a6N27Nz788ENMmTJFjhcREYFvv/0WX3zxhUT46tSpI1E+iso5c+bkyH1RFKVowz+ciyH5j9jUcH1+qOnKLzBSxRmllsjN1GlwTLBEU1mPN+vQLBz0PyiRNWumXi3B9HFeNW1oRC4fkFHbdW63ZVO0UUT17dtX0ppMeYaHh6NkyZTFt1FRURKFM8A0KdOoBsqUKQN/f/90z3XixAm0atXKGPkjbdq0kfOx8YIp3bi4OFlnwM7ODs2bN5fXKoqiWBsvBy9JB66+uDrNNq5nSlBJxtfJF682ehXvb38/zTYOo2fjRm4QFBWENZfXYOKuicZOYHrUtSrTCh+0/sAq6epaXrVEtDINnprXGr+WZ53GGpHLB/B/CqyFMwfX59T/NNiZSgF16lTKgt4qVarINka9CEUVRdnBgwdTPPg61q6ZCixTeGwKQkVRlIKEm4ObNCKwG9GmWPIsUD5zmevz2vMsP8H/z3cs31EaF0xHbTX2aYwfuv5g1Zqx9PCP8seEnRPS2LnsuLEDK86vSNezL7OwVu7Hbj+ioXdybThhA8fY5mPR2q818gqNyOUDGKbnXwwfbP9AauJMRRzX51QYnxG2Bx54QNKaw4cPt1gn16RJE7EoYfMBo273ClOrCQkpu3pq164t9W+Gpgqybds2ieyVK1dOrpGv4zrWxxFG6Pbs2YMRI0bc87UoiqKkByMv7zR/By81eElq5jjQnvYS+a04Pz/AJo1naj2DLhW7IDQ2VFKMtFfxdPTMtWtYfn65xW2/n/odPSr3QDm3ctk+T0X3ipjReYZ0rnJahYe9hzRE2NrknZxSIZdPoNJnd2pu+8ixRo1pS9a+sbmgQYMGKF68uAglNh40bdoUXbp0kfQn69fYaFCjRg1cv35dfOceffRReW1moAjctWsXLl68KPV3bFQYOnSo+MpRSL766qsS5Rs/fjzeeOMNuQ6Ky1deeUUif9y/QoUKcg2RkZEYNGhQjt4bRVGKNhRt5e0yHl7PKBDNffOa7F6HwcTCtNQls+ews7GT9GXppNJ5ci8CIgMsbuP3KkePWeteUqDmpkjNCBVy+QiKttwuoq1atap4x7FzdezYsVKX5uDgIE0FtBuh0OI/6pUrV+Ldd9/FwIEDERAQIM0K7du3R6lSmQ+b83i0FuGxWV9nsB/hsSnUaGVCsUaB9t577xlfx85XpmjZPBEWFibCcfXq1ShRokQO3RVFUZSMYa0UDWKXn1suI64er/G4TAfIzS95Rgs5lP7vs3+LiXGn8p1wX+n7stQdygkW50PO488zf8ryo9UeTWFKHBUXhZuRN8V+40LIBbT0a4m2ZduKhYhB9NGGZN/NfVh3eZ3UxvWu3luecysN3aZsmzRedgYa+TSCo41jpj/Tk3dOynt1tnVGnxp9ZHoDo475FfWRywc+ckr+Qj9TRVEy4/82bN2wNKbB/er0w4v1X8wVMRcZH4l/L/yL8dvHp0kLz+02FxXcK2RqKsOEHRPSTJhoV7YdPmz9oQQXtlzdgjc2vZGi/ozr53WfJ4LvathVDFw9MI2B/Xst3sNDVR6Ci735sh1rciX0Cl5c86KIWVMYVeN1NvJtlKnP9PUNr+NY4LEU65+u+TSGNhqa62Iusz5yeR8LVhRFUZQCBB38l5xZkkbEkfnH5+Nq+NVcuY7bkbfx4Y4PzUaVpuydIrNAM4ID7c2NCdtybQv2+++XlCWnWaRuIqCR/fht4+Uapu2fZnYKETtIb0ffRm5Q3r08ZneZjQcqPmBsUKlRoga+f+B7VPHI2LyZ749NEalFnKHG7nLoZeRXNLWqKIqiKFmAzv+LTy+2uJ0pynre9XL8Ovbf2p9GYBnYeHWj+Kox5WsJCr2fj/9scTtHTznZOElRvzkO3T4k51h7yfwoR9al7byxUxoEcoOKHhUxvuV4sQLhXFemRjObYmZ6mYLNEgtPL5TP1KZ4skjMT6iQUxRFUaxOZFykCABaUnDUUUElOj4aUfFRcLJ1gqNtcqkFK5K4Lr3JD6ad+NmFxwqJDUFxFJepA5mZQEGBZ25IvSncHp0QbXE7LTuYvk0PTjNI7zwRselPybA2Ho4e0ijHqGlW6vN4v/hZk6almqKxb2N5bxuvbJTpFHwfWW2YyC3yNLXKLkn+ops+6O5voGPHjmm2DxkyJMUxLl++jJ49e8rEAF9fXymaj49P6RezceNGsdBgET/90Th9QFEURbE+TLntu7VP5ke/+N+LkuK7GHLRKj5euQkFDIveaQvFQel8PnXnlKynQOhQroPF1/as3NNqIo4py99O/oYha4Zg6Lqh0lhhMKRtVtqyYwDTim52GZvNd6vYzeL2FqVbpDs6jG4LHCpfp2Qdi/uwMSK3uB11W5otXlv/Gl5a8xLmHJ2TpmbOEpyV+nDVhzHj/hlo4tsE269tl7QzbVU+av0RHqn6iIwZy4/k+VXVrVsXa9feDcsaBqUb4NxNw2xOQsFmgJ5kFHHsoNy+fTtu3LiBfv36iTEtuzAJi9a5DwXgggULZGTU4MGDxeCW8zoVRVEU68AIEVOO0/dPN65jHRnryVhwXtc798Y1ZQeKzh3XdmDkxpHGKMzpoNNYeWElpnacig7lO+CVhq9ItCZ1xKq2V23ULlnbaiJu0OpBuBx2tz7rUMAhNPVtikkdJklTQ9eKXfHfpf9SvI41Yu+2eBdeTumbybMRoFulbvjlxC8yzN4UeqM9WOVBEYMs9jeXdmQzQ1m3snKu/qv6Iz4ppVjvVK6TiL3c4E7UHXyy6xOsubTGuO7EnRMyruuXB3/J0EOOo8aeqPmEiHbTer8D/gfQsnRL8XTNr+R5swOFm2H2Jh+c82mK6WxOPkw7Nzjw/fjx4/jll1/QqFEjmcU5YcIEzJw5E7GxsbLPrFmzpPuQsztpPkuvsscffxxTp07N9feqKIpSmGGd0dcHvk6znilWdlbSz6sgEBAVICOnUqfSuMz1bACgJcXChxbiocoPibs/hc+wRsPw9f1fpzt7NLMwNUiTW1MRZ2Cf/z4cuX1EuijHthiLcS3HiVBhTVhbv7b4redvmZ5xyhoyiuzn6zwvUSl2ozIK9XOPn8UXjlMuKFo/bfspKrtXlhRzs1LN8EuPX8TmhDBq9/tDv6N92fZyDZw7+k6Ld/B+6/dzbZzZpbBLKUScaT3jD0d+QEy8+To/A3EJcVhyeonZpo2dN3ea/RzyC3kekTtz5gz8/PzE5oGms59++qmYvhpgFI1CjSKuV69eGDdunDEqt2PHDtSvXz+FlxmjbDSQPXbsGBo3biz70NDWFO6T3lQAzhflw7QFWFEURUmfY7ePWSy+Z2SOadeCMKeU0R1OKDAH11OQUgBV8qiEca3GYUTsCEmllnQsabVieE4OYLOBJRadWiRjoTht4smaT+L+8vcnF/jbOWfZu41RtRFNRqB/3f5UqyIQTesaGdl7qOpDaOXXSurGKOZMPU85yYFijqb2jMoy0sfrslZ6OTP8c/Yfi9sYSaUYLWVr2fc0KDoI/5y3fIw/Tv+B5qWba7NDalq0aCH1ajVr1pS06Icffoh27drh6NGjMqLp2WeflbFMFHqHDx/GmDFjxPn/zz+TTQs5Niq1Ia1hmdvS24fijKa0hnmiplBM8loURVEUJT0onPjIa7ydU2azUhMaEyoNGhQiFFmpoXAr5Zy+wbvBINgS7JBNr0tWKYSpVaZCn3jiCRkLxSgZHf6Dg4OxaNEi2f7SSy/Jekbd+vbti/nz5+Ovv/7CuXPncvS6OOGABnyGx5UrV3L0fIqiKIUB1sBZGmtUs0TNXJ9cc68wAsUifnNwfW5EFTmrtHe13ha3MwrHyFhGsIbvSMARqffrtbQXBvw7AEvPLJU0eGGiV7VeFrc9WPlBSRunB6OQvapYPganduTHaFy+qJEzxdPTU+Z4nj171mIEjxi2M91661bKAk3DMreltw9r7cxF4wi7W7nd9KEoiqIgw4jN8MbD06xn6o3F4gUhrUpY78ZOxWJImRrkMtf7OPvk+DVQNHAqQgW3tNMZ2OxQ37t+po5z8NZB9F3ZF7tv7paIHK00xm0fJ7WMjNIVFiq6VRQz4NQw3T24/mBpZkgPzop9utbTZpsz2vi1QXXP6siv5HmNnCnh4eESbeNMTXMcPHhQntlxSlhTN3HiRPj7+4v1CFmzZo0IL87zNOzDSJ8p3IfrFUVRFOtBz7gnajwh9g0/Hv1RCsdpkcGux4y6BvMTtJloVbYVFvdajLlH5+Js8FlU86yGgfUGygSB3LKhoKiY020O1l9ej2Xnlsl52YjAJoPMNFSwKWPCzglm/c/YScyaOFNfuoKMl5OXNFhQ/NLkmLV6XSt1lWgcmzYyA/eb332+dAGvPL9SxF/f2n3l9zmj1HWRnbXKIepsYGAd3PXr1zF+/HgRa+xEZQ3br7/+igcffBAlS5aUGrmRI0eiXLly2LRpk9F+hN2qrKGbNGmS1MNRBNJexNR+pF69ehg2bBheeOEFrF+/Hq+99hpWrFiRafsRnbVatNDPVFGsZwjMjk5GOwqTIXBuY8kQOCPOB5/HI38/YnH7J20/Qa+qltOJBZWw2DCjIfC9pEPZsMNoJcsE8lLoFohZq1evXsUzzzwjzQ5PPvmkCLadO3fCx8cH9vb24i/XtWtXMQkeNWoU+vTpg3/+udtVYmNjg+XLl8szI2zPPfec+MiZ+s7xy5iijVG4hg0big3JDz/8oB5y7ML54w+pP2SKmfee3b0REcku3LxHtGuhkOH9/+abb4yvoyBmXaOhs5dWL+wQ5r1XFEUhbABg3VFeijjWgXFGJk1h05vEYAmKAY6gojDgM5fzAnZ/ssbLkqigtcb18OvyXhmFM5BR5JBWIbkJR4JdDbuKK2FXEBwdnGN/QITGhEp3McXvvUAB5+lo+X7nN/I0IldQKIwROXYJ0+aFkcxHH30UYWFh2LJli4ixv//+WyZkzJgxQwTagQMHxJj5yy+/RP/+/SUFTlH88MMPix8f96UoPHToUKGoJyyon6miKHe/zA/fPoxPd32K8yHnRdAwxfZqo1czPXuTFiS0o6AHGUUchRRrrZi6y6h7Mze5FXEL3x/5XqxKGAFlCvutZm9JSpuRpdc3vC6TNlJjV9wOy3ovy7WUN2vzvtjzBTZf3SypXtb40UiYEyisJfavhV3DtP3TxE+OViw8Ns/ByRN5FU3NjYicCrkiKuT279+Ppk2b4uLFi5LaNoVjzGiszGipgY8//lhqDTlBg9Cfr0OHDnj77bfFrmXDhg1o27YtCgMF9TNVFCWZvTf3YuDqgWnW09D2h24/ZFhfRiE48+BMzD8+P822/nX6Y2ijofnCcoQRx9fXvy7D61MzvdN03F/hflwIuSCdqqZmzGza+KLDFzJmLDcEDqOFz6x4Jo0hNMUk6xCrelbN9jluRtyU6RLXI66nia4teHCBDLwvaBSI1KqSdzCi1rlzZ0mt0gLm+++/R1BQkKRW2XAyaNAguLq6Gh8Ucqa2L0xls8aRgo9p78Ii4hRFKdjQ2JWRH3NcCL2As0HmXRFSTwPgaCdzLDixIN9MqLgaftWsiCOT9kySNGtlj8oy6eGDVh9IV+egeoOw9JGlaFeuXa5FqTZd3WT2ntFc+LvD34lwzi6HAg6lEXGEUcmp+6YWqg7dfN21quQerCtk3SAjbBx19vXXX+Pdd9811iBS2BnsXkxfYyAxMRHbtm2TdZbsYhRFUXIb1sIdv3Pc4vbtN7ajddnWGYrB1HNDDXA9t+eHLtxD/uZFHGFdoGEOLLsx+9Tog0erP2rR5y8nm0U4k9YSe27uQXhceLYjnJuuJDdBmmO//365FwWl5i2rqJArwrCAtk2bNvJ4//33JcVKccYu4PPnz4sJsyW++OILnDx5UjqI2Tgyd+5cDByYNpWhKErhwz/SX+rGmKJj7Vhu+KplFg6MZ6csxYE5MppeQBxt0o9UZeRJllukd9+Ztkzd7JCeiONnyhFqrF/jZ5rVebGcVcoZtWwyoG8gPQNpAM1rSO9YbIixLZZ9KVLajP+bAV5LbgvY3ESFXBFl165dWLdunXQF04OPywEBAdKpyvFktGhhbr579+7Snbp3715Jvb7xxhvS/EDhxwYHikA2Qbz++utSM1elSpW8fmuKouRgdIUprHHbxuFGxA1ZxwHpH7f5GA18GqSYz5lX0ACWXmtsAEgNv8zbl2ufKU+ySu6VcDH0otk6Oy+H/GFs3MC7AeyL2yM2MTbNNmnKcMy4KSM2IRaHAw7jvW3vSRSPlHEpgwltJqChT8NMpV8ZoaTP3TcHvzFGARv5NMLEthNRwb2CfB6W5sa+UO8Fud/ZpWeVnmY/c9KvTj+zY8kKC4VXoirpwsLJzZs3i08fp2m89957Ys3CsWn04aP9CKNsrKGjQONMXBb/sxGANi8DBgwQD0DDKLVOnTqJhx+9/RRFKZzwi37ImiFGEWdY9+KaF40iIK+xtbEVh/6mpZqmidR90f6LTEXk+KU/rdO0NEKIy1M7Tc035rCMyM3oPEPEnCm1vWpLQ0ZmRBjtQFJ/fvx8+TmzBi8j2C/J1OnkvZONIo4cDDiIwf8Nlq7acq7lMKrpKLNis2WZlrAGpZ1Li/hMHXlrX7a9dCwX5oicdq0W0a5VxTL6mSqKea8yTgn4+9zfZrc/VfMpvHXfW/kiKmfo6GTx+54beyS11rR0U/g6+WYpLUpBcybojDyql6guD0ar8hOMqDEtSuHkH+GPRr6NUN6tfKbS3Xzt57s/x6LTyfPNU8NZr++1eC/de3Yr8haeXfGsXIM5ZneZLTWJ9JC7HXUbu27sQnRCNFqVaSUpV/q1WYvI+Ejcjrwt48jo/de8dHOxmykoo+HutWtVU6uKoihKpr4kjwUes7idg9m5T34RcvR64yOzM0nNQdHGR2bSsXkF7zcbL+6l+YKf19HbRy1uP3b7mIy6Sk/IUeBbEnFyjMBjIuRc7V3lUcmjEnIKZ1tnSeXyUZRQIacoiqJkCAvYmSLj3FFzcAZpRk0CBQ2aAtOKhNE9EYaOJa1Sz5W6vozWHGwUKOFQQs6R1dQto2K8RkahWPTP45h2aLKJgeeg4HK3d5fUMSN2/LwYvbPU5cvPO6P0LM183ezcEBYXZnZ7RfeUPqWK9VEhpyiKomQI7SEGNxiMjVfNW0kMrDuwQLrnW+JG+A2M2jQKR24fMa5jdG9yh8mZHsKeEawfY+PIjhs7jOuqeVbDV/d/JQIrI1gZxbTvsPXDxBCXsJP4oaoP4Y2mb4hgo5fcp7s/lWkHBhi9m3n/TFTxrIIB9QZg9aXVZo8/qMGgDG1BfJx88Fyd5/DtoW/TbGP3cEE04i1oFN7qP0VRFMWqVPGogvdbvi/WFgZYaM8i88IUeeEc0Le3vJ1CxBEuj90y1ipzQlkz9vmez1OIOMKI5/D1w6WeLCMo3gb9N8go4gjtQ/459w9+P/k7ImMj8f3h71OIOEODw0trXpLX8XP7qPVHKRom+DM/Z37eGUF7kSdrPImelXumWM/I4g9df0jXFkSxDhqRUxRFUTKFm70belXthVZ+rUQM0IuS6TdGfvKLt5o1YBqSJrLm4Hpuz26RPo+x7vI6s9vOBZ+TSFpGlhlngs+In5+lCRTsCl1yZonFdCw/Q85kZVcnGwPYpcooHyN2PHdmI6xMBb/T4h0MaTgEV8KuSPq2lEsp6RDm74iSs6iQUxRFUTINv9zvtbi+oGDJTNgAGwCyC4/B8VGWYG1eRlwMSetzZ/oe2B1qzmPOAC1HmqGZiPCybmXlca+wJo+PnGxmUMyjQk5RFEVRTGBEKaPIZHZhByfTkvGJ5keBGfzu2KjANOu+W/sk5dm4VGOJlrnYuaBGiRoWj8+GBycbJ+nkNPV3M4Wmx8RgDcJzMDVLDz6ewxrv0wDnqfIcjGjS9qRJqSZSX8fpD0r2UCGnKIqiKCawQ7Vzhc5mU59cz+3ZhULpseqPYdGptB5ujX0byzmYfv324Lf4/dTvxm1sZhjVbBQerfYoKntUhp+Ln9lh8S83fFnq0wbUHYBvDn2TZru81tUPIdEh+OXEL5h1eFaK7YPqDUL/uv1lhFZ2YTct6/Y+2/2ZCEUDj1V7DK81ec0q97Moo80OiqIoimICI1Gs+epWsZtxIgCfuTy2xVirRKqcbJ0wpMEQ9KneJ8WsUU4imNR+kpjYHvA/kELEEQohTlG4HHZZ6tC+7/p9Cq88WooMbTgUPSr3kJTpkzWflI5i0waVpr5N8U3nb8SChHV2qUUcmXN0Dk4FnYI1YC0eO2dNRRz58+yf2HNzj1XOUZTRyQ6ZQCc7FC30M1UUxZByZFSM9WxMZVJcMSVqTZhyZD0cz0WrD56DQpGRsiHrhlg07GUjw0dtPhKBRi86PmISYqROjSlLU2NmzshlWpORMdY4clash6MHouKiMHrzaGy6usnsOTg+a2rHqdl6z0wdT9gxQUSbOWp51cJ3D3xnlchfYSOzkx00IpfPPrSLFy/i6NGj8szlnITzUtlRNGTIkDTbhg0bJtu4jyk7duyAjY0NevZM2WpOeM18zcGDB82ej/NauT31Q8WSoij5EQoYTgmoXbK2PFtbxBGKN3rG8Ry0AjFE+9ikQJNfS7DrNC4hTn6mCKInHI9R1rVsmukahgYVbmdKlSKOxCTGSHesJXj+9JolMivkbkbeTPcccYnJ70O5N1TI5RNu3bqFd955B48//riIJz5zmetzkvLly+P3339HVFRUiojUr7/+igoV0o45mTNnDoYPH47Nmzfj+vW0dRkZwb8qbty4keJx6dKlbL8PRVGKDvzy5/goRpRIaEyoRK7YGJCfoE/b2aCzxu5URsWOBx6XCFlGUDTSGsQSbfzaZNuA2dXWFS39LA+tpyUJTX2zOxGkXdl2Frc38W0i54hPiMfl0MuYd2yeePWxdvBa2LV0O3uVZFTI5QMYeZswYQJ27tyZYj2XuT4nI3NNmjQRMffnn3fD3vyZIq5x48Yp9g0PD8fChQvxyiuvSESOEbaswghc6dKlUzxKlUruzlIURcmMiJuydwqeXfksdt7YKSKOXmnPrHgGS04vyTdijiKOxr7Pr3pepi8w9fnJrk9kwDy7QzMSc6yhS13bZtpV+0DFB4z1e/eKrY2t1OjxXObO/0ztZ7I9O5f/z+9UoRM8HdL67rFrl00ZFHuHbh/Co38/KvV/y88vx4SdE/D4P4/jdNDpbJ2/KKBCLh9w586dNCLOANdze07ywgsvYO7cucblH3/8EQMHDkyz36JFi1CrVi3UrFkTzz33nOynJZaKouQmCUkJErlhpGbExhF4c9Ob+HLfl7KNhfuW7DxyG1psMAJHP7cB/w4QUccJC3L9YZczlU5kkwBHgtXxqmNcd1/p+/B5u8+lhs4aMBX7y4O/oLHP3T/cG/o0xPwe82Wbtc7B47Uq08q4rmaJmpjXfZ6kkzlndsSGEWnSuLx3b216K90Us6L2I/kCRrqysz27UJSNHTvWmOLctm2bpFs3btyYJq3KfUn37t2lAHPTpk3o2LFjps/F17i6pgzVt2vXDqtWrbLKe1EUpXDj6+yLLzt+iZEbR+Lw7cPGEVccEfVmszfzjZUFa+rmdpuLgasHiqA7FHBI1o9tPhYPVX4ow85XNlnMODgDobGheKrmUzLnltYjTCG/s/Ud8ZOb5DUp2xM1bIrbiB/d1/d/jZDYZHHIhglzEbTswNq8KR2nyCQKinC+fzZ2ENbpWZpQcSH0gtyL/PK55kdUyOUDUgubrG7PLj4+PsZUKSNs/NnbO+VomFOnTmH37t3466+/ZNnW1hZPPfWUiLusCDk3Nzfs359y9I2TU9qwvqIoiiVYG9a8THMRcgY6lO8gnaU5EVmLio+SVGNW04xMgVZxr5Jibirr3lzsM77OxMRE6ZZlinb6/ulptrPLldE9kpCYIILMQOrlzMAGCEMTRE5B8WZOwHICRXrklyhrfkWFXD7Ay8sLLVu2NJte5Xpuz2mYXn311Vfl55kzZ6bZTsEWHx8PPz8/4zqKPgcHB8yYMUNapDND8eLFUa1aNSteuaIoRQlDTdwPR36QZXqwxSfFy5D7aZ2moWXplnCyy/4fh6xh49xQmuWyTotRq+dqPycdpplpMqB4Y03c7lu7U1xn/1X9Mbf7XDleejVujIp1LN9RZqaag/NR2fF6Pfw6LoRckEkJFJuMbu29tRet/VoXmKkJNC423J/UsBHC2tHBwobWyOUD2Mk5btw4EW2mcJnr0/OPsRZMlcbGxiIuLg7dunVLsY0Cbv78+ZgyZYpYixgehw4dEmH322+/5fj1KYqiENZR/XryV2M6dd2T69DAu4Gk6+YcnmNxHFVWYERr141dUmz/55k/JZ3JZy5zPbdnBJsutlzdYkynLnt0mUxzYN3X32f/Fk+39GD0r2/tvmbHhbHmjF2rFHEvrXkJr6x9BduvbcedqDt4b+t7eGvzW9L1mV8aPzKipGNJDKo/yOw2TrGgL55iGY3I5RPYufnJJ59IYwNr4phOZSQuN0QcoTfciRMnjD+bsnz5cgQFBWHQoEFpIm99+vSRaJ2pFx3TsKmpW7euMYp382ZaTyFfX1+J1imKoqQHxdCcrnOw8NRCvFDvBamzYs3cd4e/w0sNXrJKLRWL79/d9m4a6wsuv7ftPSzutViiSOnBIv453ebgxJ0TeLDSg3BzcJOaub/O/iWjrzITLSvnWg6/9vwVsw/NlkYJdnk+UvUR9KvbD6VdS4uXHGeqXsIlqRnk0Hs2SBBeX1bTq3kFI4sUrVU9qso4Mb4H+uKNaDJCGi/YXatYRic7FOHJDvSrCw4OxtKlS81u7927Nzw9PREYGCj1GitWrEizD+vmWrRoIdE53hveB3NcuXIFa9euNdsNS+gnRyuS/EBB/kwVpajAGjFTg97Uy9mBHnVPr3ja4vbfe/6Out7Jf5xmVNvF+jrTujBG4rI64ovHYErZYP5rWqtHMffGhjdS1At+3OZjdK7YOdsecHkBU9K8b/bF7eHllPNlRYVhsoPK3CJMRj5wlgSeKc2bN09hQZLe3wUUjqknRSiKotwLqUVb6mWOvmKkx3SZtW2Z8V4zzARlVOvhqg+jtHNpmU7AlCiFU2ZhBC21aLuXOa2sfTPn9UaKo7j4sJnibOsMm2Ipo3EUumyeoC9dfhZIjLgqWUOFnKIoilKooPkuGyK6V+ouo6koYDZc2YBqntUybDIw1GwNrjcYVT2rytB6NhPQPoOpvrPBZ422GXkNGxve3fou9tzaYxRBjGiN2jRK0s2sozNYeMw4MEOidr5OvnixwYsytUEtPQoHWpSkKIqiFBpY4P/z8Z/FsmPQ6kHSELD20loZ+0Rj3oshFzM8BrskvZ29MXbrWPF/o5cbn7ns4+yTbwa8s/HjYmjy+/mk7Sf4o9cfYuzLiCIbNGg6TPHGqRdbrm2Re0PTZDZDzDo0y5iuVQo2GpFTFEVRCg30kuNIKNqGXI+4jt5/95YaM9LIp1GmUptBMUFmvdsI13cq3wl+rnetmPIKdq9KQ0XgCbQp20be++SOk7HxykZ0rdgVMQkx+GjHR2bnlTLS+GztZ8XmRCnYaEROURRFKTSwLq22V23pbCUGEcdI1cdtP5aIWkYERgcaX5caruekgfwCfe3oN2cwQ+bki97VesPT0VMaKzgOLL2mDqXgo0JOURRFMZLae8wwUqkgwUjU+ZDzKdaxWSGjQfUGUjcKZHV7bsPRXZwAQdsOziU1dLVmZD+SGWNjJf+jQk5RFEURKAbe3/6+0YuMhfNT9k7BmaAzBUbMsTuTNXH0eyNsbnC0ccSNiBtSM2d4bxk1O1jqnqQ5bX5pdiD+kf6Ytn8aHl76MHr82QMvrH4B265tk/vgae8p6WRLkctaXrVy/XoV66NCTlEURZF04aiNo7D+8nq8+N+LuBF+Q0ZMLT27FAP/HZiv0onpwY5U2o4wSsWuze8e+A4/dvtRxBwjVZmxH+E0hQ9bfyhWHaZw+YPWH5idtpAXMPr21qa3MP/4fGMqmJHIIWuHYL//fpmdyutNbT7MezOh9QS1+igkaLODoiiKIuLkrfvewuD/BuNq+FV0XdLVuG14k+FwKJ7Sqyy/QhHHwn9OUajgXkEsNihkfurxk0xByEyTAmvk2Pn61f1fYcf1HdIZWsm9Elr5tcJPR39CFY8qKGdXDnkNmzn2+e8zu+2z3Z9JrSCvdeFDC6UBgu+FNXWPVX9MGiU0tVo4UCGnKIqiSKqN0wq+6fKNpOcMcAxWryq9rDY1ITegIW7T0k1TvreSGU9iMMDo484bO7H75m7cV+o+lHIphZN3Toq4o7UHferoT5fXHPQ/aHHblbArMne2WLFiIto4AuuJGk9IVJHrlMKDplaLMJyywH/QqR9nz561uK179+7G11eqVEnW/f7772Znq3KbuekRn376qcxz/eKLL9Js4/4cC5bVaza9LkVR7g02Nvx28rcU6/67+J+sL0pwUgLrx2Z3mS2pymXnlokpMNO0NUvUNE5S4JB60wYKCsDc9GZjLZ+bnRsG1h2Irzp9hSkdpmBS+0mSUqZ45YPEJcSJnx4jixR4rJ/LC3i/zgefl5pL1vYphUDIffDBB2m+kGvVqpVi5uWwYcNQsmRJGSLPAe23bqUcj3L58mX07NkTzs7OMnh99OjRiI+PT7HPxo0b0aRJEzg4OKBatWoZjqbKK+7cuZPuck5AAcQ5p6YPw7xUc9t++y3l/+TLly+PuXPnpli3c+dO3Lx5Ey4uye3wqfnxxx/x1ltvybO1rjn1dSmKkvV6K9bEcTg76Vm5p9SVMc3KmrlbEZkfTVXQYe3Y601exxd7v8CENhNQx6uOPHN5RNMRkq6lEBmzZYxE7ijmGKX75uA3MlEit8RcI99G4hvHaOFrG16TiQ4TdkyQ9Z+2/VSaMigu5x2bh0f/fhR9lvXBQ389JMbGrIHMLRISE+QaX1zzIh75+xE8tuwx9F3ZF1uvbkVUnHmbF6UAReQYuTH9Qt66datx28iRI/HPP/9g8eLF2LRpE65fv47HHnvMuD0hIUFEXGxsLLZv34558+aJSHv//feN+3D4Offp1KkTDh48iBEjRmDw4MFYvXo18hMcKv/mm2/Ks2F51KhRxuWcguKWw+pNH4yWWdpWokRKR/O+ffvKZ2N6nRRoXG9rmzZzz32joqLw0UcfyUBgfm7WuObU16UoStbgLM9uFbtJIfy7Ld7Fey3fww9dfxAx19KvJexsUhb+F2Z4D8ZvGy8pSRrqDm88XJ65zPUcxTr36FwRca9veB1brm7BzIMzsfDUQny570ucCz6XK9dJGxSK7x03dhjXhcWFybWEx4XDtpitzIedfmC6pFkJU8Osl3tt/WvSlZxbtXz9V/XH6aDTKTqkh64bKuPDlAIu5Phlb/qF7O2d3EUTEhKCOXPm4Msvv8T999+Ppk2bSuSHX/yM+JD//vsPx48fxy+//IJGjRqhR48emDBhAmbOnCnijsyaNUsiTFOmTEHt2rXx6quv4vHHH8fUqVORX2DkjeLz8OHDGDJkCPbu3SvPR44cwfjx43MlMnevlCpVCt26dRMRTSIjI7Fw4UK88MLdGhtT+Jk+88wzsLOzk2cuK4qSP5oE2pVrh+WPLpdoHGviWDO3uNdiETL5yXIjp6G5LkVsh3IdpDHglXWvyDOXf+j2g9ybAXUHoL53fbFleWPTGyLiyIv1X5S5rLkBzX4vhV4yu41ijpYr3x/+3uz2k0EnZXtOk5SUhH8v/GsUkim2IQnfHPgmz1K9hYU8F3JnzpyBn58fqlSpIlEcpkrJvn37EBcXhy5duhj3Zdq1QoUK2LEj+a8PPtevX1/EhAGKCkZ6jh07ZtzH9BiGfQzHMEdMTIwcw/SRk3h5eUmEiu+DqWOKOD5z+cMPP5TtOcXy5cslbW14PPHEExa38fHJJ5+kOQZFGyOh/Af7xx9/oGrVqiKsU8P7yO3PPfecLPN50aJFCA/P2j/izF6XoihZF3Ps9HRzSB5jxRqrSh6VipSIM0S1GMX6YMcHMq7rp+4/yTOXOaKL29kAMaPzDNgXTzbfJU18m4jA41SF3ICjuSzBaBvFE6/VEqxXyw1z5r239lrcfuzOMbMiTykgXastWrQQAVCzZk1Jq1K0tGvXDkePHpUaK3t7+zSF7xQ33Eb4bCriDNsN29Lbh6KCKT4nJyezxfi8ltyEtWY8J0WcAS5zfU7ClPO3335rXData0u9jZgTlUxdv/zyy9i8ebOkVS1F41jHRpHXsGFDWabYq1ixokTwBg0adM/XbOm6FEUpurCwnvYaFKckIDJAOjYzI7LoNefpkLzfghMLsP3admMKkOu53VATx8H1Bg4GHBT/tpZlWmbK2iM+MV6iUYzwGRoTeFy+lqnujEivc5avZ1MGj8vzmKO0S2nkNLznFd0rYvt182U0ZVzKpBDDSi5E5Bit4hf2zz//jNmzZ+PPP/+UOrR7galQRoAaNGggUbKVK1ciODhYojR5ydixYyW1a3jkdJ0a4TmYRjWFyzl9bgo3NoAYHmXKlLG4jQ9zgonp8eeff16ud9euXRJZNQfTqIyUcn/Dg6nxrDY9ZPa6FEUpmlwOvYynVjyFDVc2IDIuUho1RmwYgXnH5yE4OjhTxfmNfRvjwcoPyrJBxHGZ67n91xO/GtOpz9R6xphmZc2caS2YJSiujgUeQ6+lvXDizgk55sWQi3j8n8dlMoOlWa+msLOWXavmeKrmUzKFgtYxljpeKbByGo4Je7LGk1J3aI6XG7ycaxFMFHUht23bNjz55JMSIWPNGpsGWI/G9Bi/SKtXry52EmFhlsO4GcFj16hRQ+wvWC/HOjcKO1OYcuQ2wufUXayG5Yz2cXd3NxuNMxTTc7vpIzdq5AzpVNb1GdKs+b1GzgCjcGxkeOSRR8w2HrDej7V/7CBm04nhwWWmuU+ePJkn160oSuGCHaOzDs2SYvq3t7yNv87+hTc2voHDtw/jx6M/itmvQUilnr1K0Uc4AYIp5dTeeVxm/RsjXb2q9kIp51JSE0evvS/afyFijgPsM2M6HBobinHbxom1C0eHrbywEgNXD5Ru2PHbx2dqLiwjat93/V6Mjk3pVK4T+tXpJ9c7rPEwiRCm7sqllQqvPzfg/aAtisG2hTCqOaTBEDTwaZAr14Cinlp9+OGHsX//fjz77LPSYNCsWbMUIuj8+fPYsmWLpM7YnDB//nw88MADWb4Y1kqdO3dOojtsbmBB/Lp168R2hJw6dUpq6Fq1aiXLfJ44cSL8/f3FeoSsWbNGhFedOnWM+zDSZwr3MRwjP2CokaNoM6RTKeYo7nK6Ri6j6KshRW2AUTRDQ4opbCS5ffu22MBYisY1b94c7du3T7Ptvvvuk+0GXzl2I1PkpRbXPEdWr0tRlKKFu4M7RjYdKYJo181dMuHAIBymdZoGPxe/5GjY7WMIiQ1B89LNJZXJaBgNgLtX6i5F+OxEXXRqkTF6RQHIZYqmCnUqSFpzfo/5Yqvx7IpnJeU6se1EmSKRmdFXrDuc2XkmBq8eLF2d72x9R9a72rliTrc5acZqmYPvqXbJ2ljUaxGuhV2TOj4KUJ7fkBqmWKOIYmqZzRG0TuE9YI1fbsH0dqcKnfC399/iZRebEIuqnlXlWthYomSTpEwwa9aspNjY2MzsmnTs2LGktWvXZmrfUaNGJW3cuDHpwoULSdu2bUvq0qVLkre3d5K/v79sHzJkSFKFChWS1q9fn7R3796kVq1aycNAfHx8Ur169ZK6du2adPDgwaR///03ycfHJ2ns2LHGfc6fP5/k7OycNHr06KQTJ04kzZw5M8nGxkb2zSwhISFJvFV8Tk1UVFTS8ePH5Tm7BAYGprtsbfr375/0yCOPWNwmTUWpHjVr1jTuU7FixaSpU6daPL6Hh0fS3Llzk2JiYpJKliyZNGnSJLP7ff7550m+vr7yO8b9zZ23atWqmb6u7GLNz1RRlLwhIDIgqd5P9YyPURtGJYXFhMm247ePJzX7uVlSg3kNkjZd2ZR0IfhCUoffO8h+v574Nelm+M2kAasGyPIH2z9ICo4Olmcuc31AREDSpZBLSR1+S36N4dFofqOk55Y/l+Qfkfwdlhn23tib4hg8f1xCXA7eGaWgkJ72MKUY/4M84umnn5Z6u8DAQPj4+KBt27YSYWNBvMEQmF5qjPQxCsM6um+++caYNiWXLl3CK6+8Iik61k71798fn332WQoPM26jJx3rscqVK4dx48bJhIDMwsYIDw8PqZdLnWblNbJGkBYnjo46t64woJ+pohRsWBNnSKea8lm7z9CpfCeExYaJge7xwOMS1WLKjzVprDeb230uqpeoLl2fqy+uRs8qPY3GuivOr0C3St3gZu+Gj3d+LBMfzDGryyyZ90p7D0b/ON+UMErIZV9nX2lCYBSQ6VRTPzc2KTAixzmphgYIpWgSmo72MCVPhVxBQYVc0UI/U0Up2DVyE3dNlJozirQJrSeI4GKalSx9ZKmk9W5F3pKJFRy9RSiaFvZciGolqsnrSEx8DBxs79Z1MSXI+jkKxd5/9xbTXXOwKWJM8zFiHnwm+IwIO4o/zmplgwTr2pje7P9vf0k1Mp1KkUlzX6ZZmW5c9dgqlHBUo/OiTGgmhVyWu1ZZyM6ardQPjtEqW7YsOnTokGZkk6IoiqJYk5CYkBTLhrFYrJF7rfFrqOReSWriulbqik/bfYoWpVtgZJORxvo1joYyHaXFrtGbkTdFrBkwFXGEIo6wA9PwszkYVWOEj5MfroVfw5C1QzBt3zTMOTpHxN/Ss0ulDo+1a6xho08dzZhpNszaO85MzYz9iLXgfTAdlcVGi9ycGatkjywLORbgFy9eXLzDWIjPB3/mOs5FZdcpU53ff2/eTVpRFEVRsgONbCftmYTbkckpSc4NpVmvYX5oWbeymNd9HlqWTvZz83H2wWftP0OfGn2kiYApzQH/DpAGBkbDaMNBYTV8/XDsurErw45Rplo56cES3Obt6I3ZD8yWEWcUc0vPLZVttAMZXH+wFPrX9KopkzOYymUUkCnYBQ8uQNNSTTPlQ2cNKNj+Of+PRCwp5hiF3HdrH/4882casazkT7KcgOcs1I8//jiFcS2hpxw7WpcsWSK+cF999RVefPFFa16roiiKUsQJjAqUujLWrNETbnzr8TKz82zwWfGP+67rdyK0vJxSdvubdpJSNDGVaqiJYwqTIu70ndNiYFusmHnPMwO2Nrbi07bu0ro0s0Ifr/G4CDJG8xgVpPXHxqsbjdtfbfyq0YiX15E6fZqbUzRYr0ejXnb28lqmd5ou81t5LxKSEuQe9qjcQ+6Jkn/Jco0cxyHRGoLecabQ+41O/QYLEYq5iIgIFAa0Rq5ooZ+pouQcTDlScLHgnyKGYoJ1arTLYOQsIzgJYc2lNXh/+/sp1lOYze4yG418G6Wb9jSN6kUnRIupLkUM7TvYnFCnZB2xy6BIZB1dOddycLF3QURsBK6GX5VUqMHAlrVyB/wPSA0eI3tP13pafOb4vtjY8NvJ3/DDkR9SnLesa1mpmaNNSEbw6/l8yHnxgzN4vvE6E5FobKDILnwPIzeOxJHbR1Ks532gsMuN6Q9KLtfIsR7un3/+SbOe6wx+ZxRwbm7m3aYLK4mJiXl9CYqV0P4fRck5EcepBU/88wS+O/ydpO7ow9Z3ZV+8t/U98TrLCIoa1r0Nbzw8xfqpHadmWsRdD7+OCTsm4NNdn+JK6BXpGmWq9uv9X+Nc8DkZ78UpEJyysOnqJuly5TOX5x+fb5wOQS+27pW7y7k/afcJmpRqYoyw0eh3zpE58vPDVR/Gj91+NKZZvz30rUQWM/r/0JmgM3h+5fMYtWGUCEOKuMFrBuOF1S+IJ5w14HtILdg4EeLr+79WEVdYU6u07mAN3IYNG8TglezZs0dMd2liazDcZdNDUYDzYFkfeP36dbFQ4XJGYXkl/8L/eQYEBMhnSENqRVGsB+uvGPlhPdovJ36RSBxnk1LgiVGsydzSjOq6Vl1YlWLd4lOLUc+7XqbMeNlwcDLopDwPWD1AomSHAg7JNl4Ho4VHApIjVGO2jBHLEo77IocDDiMuMS7F8VI3RRBfJ19psthxfYekU2kkzJo5ijg2Y7BGLqNh84wQRsRH4NDtQxi2bpgISgpB2qWERIcg0TXR2GGbnc/k1J1TKUQ0awdpzcLUs5Nd7jVdKPfGPdmPcFzXjBkzZNIC4dD74cOHo3Xr1iiK4U2OErtx4wYiI5PHuygFG4o4+g2yjEBRFOvCaBZHZc09NjfF4HR6p2UmXcjI1MtrXpaaOKZTH6j4gFHUtS/bHh+1+ShDkcSZqIx2seHB1ELk4zYfo3OFzhL1o7AZu2Ws0baEsPOV4iwzKWDDe2X61hDZomjiNAkKxcwgna/Xd8r8VopfQhE3p+sc1PWum22fOaa1997cK121rImrUaIGbIvZ4vidZH89Tp7g5IvMRDmVvEut3tNvQZs2beShJMMoXIUKFRAfHy/jpZSCDSNxNjY2eX0ZilJgoZUHh6WbW6ZI6lKxSwohx5QofdZMhRYtPkyzG4ZjsPCeDQSMnLHWrG7JumhVppXUzN1f4f4U8zwtQZHCyB2tPpjaJfbF7dHEt4lxviq93CgSTYUcl7MyUir1MHhG7nxtMyfiCC1I2NnKe8PZrIS1cpxdag2zYB6Dx+K9YJPFV/d/JfedNXOcVUthrSKukETkWPPGqQmZJav7FxZVrCiKUtRh8TzrzCjO2DTAWjA2BDQr3UwaAiicWOPFaBNFgyHS9FztvnipwctiD8JoGUVbVY+qIuauhl2VSBxTpxQWQdFBUoPGlCiX2QDBOjcKktSD7s3BaBsH1m+7vk2WDdfB19PTjdYhrIljWtV0O/m83efoUK6DNEDkNIaaOL5/02to6N0QUzpNsdrQ+ythV0QgGyKH/AyZ2q3gXsEqx1fyQbMDO1Q59orpQ0tQD7I2rkePHmI9oiiKohQtKAA4+oqpOg6dp+CitQUjPAtOLJAmgrlHfhQRx3Tqfz0WYGC1x+W1f51disi4COkmZcqTj3Mh50TEcALDoP8GSR0bDXvZUMDuUEO0iOKNXaCZEXGE0Saa9RJOfvij1x8iMikGmaaNSojCzIMzjenUjU9ulGfC9RQ5OQ3TsLQG4ftnlPHnHj/jq05fSTSRo8fOBZ2TyKU1YOTNtLGBDRAq4goOmYrNclbpO++8gw8++AANGzZEs2bN4OfnJ9YMQUFBMsN0x44dMt907NixePnll3P+yhVFUVjnk5AI/7AYBITFSMTCx9UBPu4OsNf0eK7D6BnTgfwcRm8eLeLKMAKLhfOOScDYSr3gZuuEQeW7ovTPT+CF1sPgUOs53O/bDGUSiuFCsWKS8mPErf+q/iJiAqICpOOTwi27xf2EtWCs/6JwY00cI4f0k6OtCf3hKBTpRzfr0CxpTKCfGmvjvjrwFYY0GJLGoy4nYBqW3bkRcRES3WRNHJsspnWcJkKS66xxL5Qi1uxw+fJlLF68GFu2bJFh9VFRUfD29kbjxo1loD2jcYWxtkhTq4qSP4mKjce2c4EYtegQQqKSOwldHWzxce966FzbF26O2nmc2zAFOnrTaOlGNfBm0zfxaPVH4R4RCMy8D2Gd34fbjm+AsOQsT2i7N+B6dh2KN3sBaDpAUrP9VvUz1oUx7UehxXo4aw2S5/QGFvsboniMbjFFyxFfBtglalq7l3o5N2CHLoWm4X1z+gKFMtcphZscaXZgQf+oUaPkoSiKktdcvhOFl+bvRaLJn6PhMfEYsfAglg5rg0blUxabKzkPJwOknlbALs9kIZIEJMTB7b9xKba7b/ky+YeEZDHO6BtHVBmEHF/LJgMe25KoogjLbGpVzpFqBBajW6YijqSeaJB6mSliXhOjh3x2sXWRqQ/WEpsk9TWpHYiSGo3LKopSIImNT8RP2y6kEHGmzNxwBhEx8bl9WUUaNjawJm7d5XWyTO808vaWt7Hl2hZEOrgBZZtYPkCVjlITNvi/wRLZYycpBRwFk6FmjkkkTob4/eTvUpNnMPidd2yePFsLHpvHNBj38pnLhnMyUrb8/HKcCDyBkRtGSu0cmyeO3T4mkT5FyS1UyCmKUiCJikvAyZthFref9Y9AZKzaAeUmbEQ4evuo/Dy62Wgs7b0UzUo1k1QgJzpE04Kk51TAjIEumg1CoouP1K1xNBajcj92/1GGyFMQUjhdCbkijQqvrntV6tW+O/KdzFz9YPsHmHV4FsZvGy/bswuvgQ0aMw7OwOS9k2UCBZ+5/MbGN0RkrriwAh/t+Ej2e63Ja2jo0xCjNo0SEUqDXUXJLawX/1UURclFnOyKo46fOw5cSR6XlJqapdzgbF9wanZj4xNwKzQGJ2+GIjQqHvXLecDXzQGezgXHx6uMaxl83/V77Lm5R5oImBb8vP3nWHl+JXpV7ZXcJGDnBgzZCmydDlzaCrh4A23fAMq3QHEnT9S1ryvHYHrSUBPH+riLIRfRwq+FpFRb+rWUYfWLTi3CqvOrEBaXLOgfqPSARPGyC1OoXSp0kSkUjLpturLJeA6+L6ZRaY3CTlc2Yry2/jUx/mWdXXWP6tLwoSj5erJDUUObHRQlf3LmVhi6T9+ChFT5VfrILhvWBvXLFYwauei4BGw/exuvLNiPmPi7lhK9GpTB+73qwsctY5Pb/AStM0zHVjFSl8ZYNi4KiAkFuN4pZU1dXEKcdMCa1poZjsm6uYCIAJmF+tfZv4zbR983WoyBaaWRuv7tXmAUjkPvDTYkZFijYXim1jPSKPHWprcwuMFgsVsxpFIru1eW61h7aS0+aP2BjmtU8o+PnKIoSl5yOzwGV4MicSMkSuxGDJT3csbcAffB2/WuSPBwssPMZ5ugik/BGbF2IyQaL/68L4WII/8cvoFlh64h0VIhYD6EUSlGp0yh8EktksCifddSIuK4bFpXZmdjl6ZhwCAMKQoTkJCmHo4RO9bSRcZZZ1Qir4fHTH0Ow3VyIgIjcrQyMdCuXDu427vD08HTaiKOKWUKWwN8f2zsML1OuZ+pXqMUHbIs5P79919s3brVuDxz5kw0atQIzz77rHjKKYqiWIuw6DhsPROAvt/vQtvPN6DbtM2YseEsboUmCwNHOxu0reaNf15ti+XD2+KfV9tg1evt0LVOKbg4FJzKkTXHb6aJKhqYvek8/MNz3oDWGhhmmH5z8Bsx/yVsXpi4a6LUlRmmKrAhgg0LhKbBPx75USY+cAxXRlDITd4z2Tg6q2aJmvK8+PRi/H3ub9meXdjYwJo41sGRWl615JnLXM8pC8/XfR7LLyzHkIZD0KlcJ/Sr008EHFO+tFqxBuyGZVSQBsAUcxRxbBrZcGWDzIiliON94/3jfSS8r7y/vM9K0SDL/6cbPXo0Pv/8c/n5yJEjYkXyxhtvYMOGDfI8d+7d+XmKoijZYef5O3hx/l7jMmvHpq09g4NXgvHlkw3h5eKA4sWLoYynkzwKKhdvW44iBYTHFJiIHMXDwH8HSj0ZRcewxsNkKsPV8Ksi7Ca2m4iJOydi/ZX1Ukc3r8c8/HzsZyw4uQC/nfoNfz3yl4zdyizvtngXbcu2lW7S30/9niPvaWSTkehTow+WnF6CqfunyrpEJEr6lDV6y88tx3cPfIejgUdFQNHGZF73edk+L1PJnDLBBgvW7LFu8HbkbTFaZvPInK5zUNatrHHcGU2CKS65zGaRyPhIjG81Po0VjFL4yHKNnKurK44ePYpKlSrJpAf+/Mcff2D//v148MEHcfNm9juG8htaI6coOVcbdjMkGutO3sKVO1ESXatb1h1lPJwk6tbn2+24GhRl9rUrX2snzQ6FgRWHr2PYrwfMbqtX1h3zX2guojW/wxQfxQ07Sk1hB+oPXX9Aba/aOBtyVsQehYYpg+oNwoC6A9IMmjcncPyj/MU0ODg6GOO2j8PcbnMlesUB834ufjKn1RpRuWOBx6QblfNf+d44IowNGCWdSuJS6CUMWj1IRJMpHct1xPjW42Vua3Zh+vilNS/JuUxpWqopJrWfJI0dc4/NxY9Hf0yx3dnWWWbGMu1rjXuhFLIaOXt7e0RGJv8DXLt2Lbp27So/e3l5yUkVRVEyQ0xcAracuY3OX27ChOUn8NP2ixg8fy+emLUDV+5EIjw63qKIIwevFJ5SjsYVSqCUu3mh9u6DtQuEiCMUPE/VegpP13w6xfpZD8ySEVP2tvaSCv2xW0rh8VCVhzCw3sAMRRyhABywagB23dglUbwlDy8Rnzp2mA5dO9RoIpxdKNbalW0n78nw3rjM9aSie0WJvJl2ydYpWQcftvnQKiLOUIdHAcy6OwM87+QOk+Hr7Cv364V6L6Bn5Z4pXscuXxVxRYcsC7m2bdtKCnXChAnYvXs3evZM/gU6ffo0ypUrlxPXqCi5Ck1kL9+JwOmbYbgWlLK4XrEenI86bMH+NLVhFG8frzgBm+LFUDydevESBciWIyP8PJ2w8KVWaFf9rgDw83DEd883Rf2yyUKioMBCe9ZxmbL0zFJjQT6F1rJzy1JsZ5o1dcG+JShqpt8/HSfunMD0TtNFsFAY7r65GzM6zzCmEukvF59wt4GCyxGxESnSwDfD72aQ2EBgMPs1kLphwXSZNig0AI5NvFuTx7my9LHLTK1fZmB6+pD/ITmXaZSOETpDAwTv255be1K8btnZZQiJzdz9VIqgkJsxYwZsbW0lnfrtt9+ibNnkeoZVq1ahe/fuOXGNipJr3AiOwrt/HUGnyZvQddpm9Ji+GXO2XkBgASk2L0gcvhqMWAsimcX/djbF8ECd0ma3O9gWR70CJnAyopK3i3TbbnyzI9a+0R5/DWuDrnVLw7UAzYu9EX5DauKuhV+TdCq92MjSc0sxff90ETnfHf4Ov578VdZ3LN9R0oBMT7K261rYtQzPwSgTU7RfdvwSpV2Sfz8quFfAN52/kWgVoSAbtXEUjgQeETHHNOmUPVOw6eomEUesNfvn/D+Yc3SO7EsRRzE5fvv4TE2H4CD7NZfWYMLOCbJM0+NSzqWMEyjOBp9FdmEKecf1HcaauAbeDVDBrQLiEuPkHrPJgY0kA1cPlEYS3kfeT8Kawx8O/2BsgFAKN1luduC81eXLl6dZP3VqchGoohRki4vhvx3A3kt3/+cXGh2PT1ed5IRIDGpbGXY26thjLYIj71oqpIZBupiERIzrWRsnboTi8p279VS2xYth1nNNLaYiCzKujjZwd3JJ0QXK4vmCAr3i6nnXk8kIP3T7AVU8qki68esDX6NN2TZilNuyTEsRcgPrDpS0IEUfxQ/FmYNN5j5Tijl2iJpiSIEyIvjlvi+x99ZeDF49GN92+RZLzy4V4bbs/DIsfWSpCLGp++42LrQo3QJvbX4LCUkJmH9svnSippfmpUhlipjvp5VfK7zf8n05JsUoI4aGa8nuvazoUVFMlat5VpOaOHapvrzmZXlm5JH3i/eNQpQ1cWwUYb0c6+ZomqzGxEWDLDc7sKnBzs4O9evXl+W///5bOlXr1KkjzQ+soStsaLND0eDY9RD0/OqutY4pbg62+HdEe5Qtof9jzI37XcHLGX8MaQVfd0fcDInCiZth2HH2Nsp6OaNjDR+UdneEg13hqv+5HHYZIdEhqF2ytnioMUp1Pvi8FNs72zmjoMDoF9N9jJLxffBnrmP0jO+DnnIUbyUdS4pYYhqS793Nzg3ezpmrLWNalBGpxr6N4WrvKpGnA/4HZJkCh5E9NgnwuOY6UHkNc47MkRo7UyjOpnWahnJuGZcJ8bovhV0S4WaoibsSekU88AyRwuzCr2emUXnfWBNHGDGkwDdcI+8Fu4QruVcS0c8GEKaRWV9nDWNkpRA2O7z88stSD0fOnz+Pp59+Gs7Ozli8eDHeeuut7F21ouQh5wLu1s+kJiwmXgewW5kyHo7oXCv5yyk1HzxcV0QcKe3hhE41ffFOzzro36oSKpZ0KXQi7krYFemAZESHQ9f55TxqwyiJvmy5usVqJre5AZsBqnhWMRr6MjrFZYMYpbio6lnVGPFidK2yR+Usibj3tr6HoeuG4t+L/0q3KtO1r294HbMOzRKbE9pypG6oYJr3iZpPyPWUcimFlxu+LMLPAJsW2JSRGRFnuG5GHE0bG8q7l7eaiDPU5FXyqGQUcYQCzfQafZx95DoMkVveV95vFXFFhywLOYo4GgATirf27dvj119/xU8//YQlS5bkxDUqSq5QKp0xSCy8d7ArOCkuEhwZi/MB4ThwOQjn/MNlOfVsT05LOHQlGEevhUjkKzcn9rET89PH6mN015oo4ZxcB1bXzx2/vdgCzSsVLe8rGszaFrOViQiD/hskqcZDtw/JFzlTbNxeUKBRLSNwBliUzyiR6e8WI2j0PTPA/U0L+tOD98Iw7uvDHR+KAP7lxC+yzFQj7xmPx5o8UzZf3Sy1a6yZYyrycMBheRhg08LsQ7PTNDzkJIzq8d6YNkcwmpZ6EoaipEeWv5n4jzExMdFoP0LvOFK+fHncvn07q4dTlHwDxz35uJoXcz3qlYa3hW35EY6yGrnwIO6fsgmPfrNdLD6G/bof14OT7TxCouKwaO9VPPDlZjwycxse+nores3Yhj0X7yAuF7t0GXUb0qEKVr3eHtvevh/zBzVHq6reBarA3xowwkLDV3qgUeAYUoLTOk5LrnXiOKsCIuI2XN4gQpQpQIo42oI8tuwxnAs5J98fHHP1xD9PYP+t/TKFgQ0QTIPS/DYzYo6ROxrdti/bXpZPByVniPrX6S81d4xMUZCxJo70rd1X5q9SqLFmjulQpitHbhwpNXHseqX9CaGpMCdE5EaTAMUbO297/90bp4JOJaeYQy/j6eVPi7WKijklx4Rcs2bN8PHHH+Pnn3/Gpk2bjPYjFy5cQKlSpbJ6OEXJV6m+eS80TzG3kzQq74F3HqxdYEY+hUbFYdzSo9hwKuWInm1nA0XcMTLHjtH3lh5FVNzdSEBAWAyen7NbLFdyExub4ijt4Yiynk4oWUD80nICRplY2G4aeWKakq7++QkKDNZoGaAAMUTXouKi8MH2D3Ax9KKIs7WX10qHZUBUgKxnEwTHdbH+j55vqy+uxrB1w0SMfbrr0xQzRDNKa6ZOYVIMM53LmjWmUPk8oskIGXT//QPfi5jrWqmrNEmwju6+UveJiKOFycimI8X7jmnSHpV75Mo0BNqDjN0yFoHRgWKQvO7yOkmt34i4Ib547IBVlBxpdjh8+DD69u2Ly5cvi5/c+PHjZf3w4cMRGBgoadbChjY7FB34z4EDzC8HRuJGaDSq+7qKyChI0bgLARHoNGWjxe0b3uyINxYexIErwWa3j+xSHa93uTsIXMl5KGxYEyfpVBSTYewsYJeJCN1+kGkCqYfI5wUUavQsY80WRRD/vTCaxAgWLTgYDeNcUIo32mQYoC0Ix1ixvosRuGFrh+F0cHIkjTCt/E2Xb9CkVJMMO1d5LtbEGdKpFGwGE+APWn2AbpW6wcXORcQjj2XoIOV5KYoNhr6pmwaYUo1Pis/SiLDswgicYaSWAdqI0NCXjRdq6Fu0Cc2pZocGDRrIjFUe2CDiyBdffIF587I/X05R8hLW19CctWXVkni0cVnxKitIIo6ERlu29TDUxp27bTnyceRaCGLj1QQ5N2Ek6nzIeRFx7Jr84+E/UM61nNTMHbh1IF80OzANus9/H4avHy4RJEbRKOKYRmVUjV2j/PdTr2Q9mdJgCt8TRRxhJI2GvqY8WfNJNPJtlCn7EQrEnTd2ys8c6bXisRXoUK6DLK+/vF6ig7wOik1TGxCe1yDizDUNsAEiN0UcYWfv5+2TZ5cbGNF0hE5lULKE1f7Ec3TUDhlFyQ+4Z1BfZm9rg6rerhYjcpwkYG9bsBo7Cjrs2mQUhmm1FmVaiP8Xa+a2X98uESbTlGu6RIcCEQHAjUOArQNQqi7g6gtYwb6EqV+mJ2kbwmjX8yufF6NaCiea4VIYMULH4fFzj85N8doRG0YYI3I0DX59/esptnM+a/ty7dGsdLMMxRwFGs1/11xeg4erPCypUkbi/jr3Fx6t9mgKsZbfYURuzOYxKdZN2zdNLGc0Iqdkliz/3zohIQGTJ09G8+bNUbp0aZmxavpQFCVvKelqjy61zdt6tKziJR2ib3StYXFiwiONcjcqoUBSktVLVBezXIOJK6NFD1d9OPPmshG3gc1fADOaAn8MBH5/FpjRDDi+DIjJXO1ZRjBFSsHJdCajhRRxJRxKyDpGl2gF8tJ/L0nUjPsaBruzuYCGu7QOeX/7+5JWZTp1YtuJEn1iSvPVda+m6HZNjzKuZfBkjSeNFiZsgOhXu5/VZpzmBuxO5XtmWpXp1Ckdpogg5ixZduJaa2asUvjJspD78MMP8eWXX+Kpp56S9Crr5B577DEUL15cDIEVRclb3J3sMKF3PdxfyyfF+jbVSuLLJxvB09keDcp54uPe9eBk4sfm6+aAnwc1V9PjPBRzqb2/suQFdnknsP0rFnreXcd5nH+9DARfsso1srGBEwxM698o5pj6Zb0Zu2s/aP2BmNMyAkfvNkYWfZx8ZD2jba80fEUEy4Q2E1AcxTGq2SgRc0MbDc2S/U3qe+PACGQBwsPeA5+0+0QinBTCnSt0Fu+7Mi5l8Fm7z3Qqg5JzzQ5Vq1bFV199Jd2qbm5uOHjwoHHdzp07tdlBUfIJIVGxuB0ei7CoOLg52kmkjiLOtFaOg+sDw2Nl7FVJVwcZe5V6ULhSAIi8A/z8KHDjoPntzQYBPb5gi3C2RBxr4lgfx6gRBQhTq4wssTmDI6IYVeQ2zgk1pDhpQULxx8gif7e4PxsWpuydgi3XtshEB9bQMZpG89uCNJIsu/Ce0nLFzd7NmEbl/WGETg19ldBMao8s18jdvHnTOJ7L1dVVTkAeeughjBs3LjvXrCiKFfFwspdHerVy5Uo4y0Mp4MTHAGE3kn9mPV2ZhgCjZtf2AwmxQPBFIDEWsLn3KA9FG2d8MvLGiBqjR1xHYUf/OIoSxgUo6vgwwJFVnjZ355Z6OXrJPFSKOMLu3P8u/ScWIEVJxBlnxqaa6cr7oyhZIcv/asqVK4cbN5L/h8FI3H///Sc/79mzBw4O9x7a/uyzz+SvtREjRhjXdezYUdaZPoYMGZLidbRBYXSQY8J8fX0xevRoxMenHKW0ceNGNGnSRK6vWrVqMoVCUZTCAX3xjt8IxZdrTuOL1SfFI+9O+N2pAUUCB1egfAug68fAw18DvrWAss2AJ+cDLYcClToA2Yzw0P6kTsk6kgakiGNNnKFmjtG4ml6ZK85nvRynV5iy8NRC/HfxP6OP3NWwq2IPYsA/0h8XQi7k6uQRRSkoZDki9+ijj2LdunVo0aKFeMc999xzmDNnjgiqkSNH3tNFUATOnj1brE1S8+KLL+Kjjz4yLlOwmTZeUMSx6WL79u0iMPv16wc7Ozt88sknRqNi7kMBuGDBArn2wYMHo0yZMujWrds9Xa+iKPmDOxExmL72DObtuFsDNnPDOTzS0A/vPVQHPumMXStUOLgBXcYDK98Czq27u37HDKDFEKBub3rrZPs0BjFnGjmjmGOULjPRNI6j+njHxyLM6PXGOrrZh2fL+CyO22rl10qK/OlDx3PNfmC2eL+xUYLjtSgYq3pU1fS/omSnRi41O3bskEf16tXRq1evLL8+PDxcomXffPONTIzgHNdp06YZI3Kmy6lZtWqVpHSvX79unCoxa9YsjBkzBgEBAbC3t5efV6xYgaNHjxpf9/TTTyM4OBj//vtvpq5Ra+QUJX+y/dxtPPv9LrPbvu3bBD3ql8nUcfi/wZuh0QiPjhfrFS8Xe6krLFDsmwf885r5bYPXAeWaIT9A+5FRm0ZhXMtxEsXjkPuPdn6Ex2s8LtMWWIdHk1w2VFRwqyD2IjQZpsfe1I5T0bZs2wLX2KAo+coQODWtWrWSztV7EXFk2LBhEjHr0qWL2e2Monl7e6NevXoYO3YsIiPvGmNSQLJez3Q0GKNsfPPHjh0z7pP62NyH6y0RExMjxzB9KIqSv4iMjcecLRcsbv9u83lJu2amKeSfQ9fxyIxteGDqZnScvBEjFh7ElTt5b8KbacIDgJ0zLW/f/R2QkLLkJK+gdciMzjNExDGKR+sQ+sC1KN1Cul45xYKdrozEceasQcR90eELidipiFOUe0ytbt68OVP7tW+fPMg4M/z+++/Yv3+/pFbN8eyzz6JixYrw8/OT0WCMrp06dQp//vmnsfEi9XxXwzK3pbcPxVlUVBScnNIW/3766adis6Io2YHTERKTkuBoYvGhWI/4hCQERVqeYhESFSf7GEhISERsQpJ45RUvfjc1t+v8Hbz2+91uT+Yo1p3wx5lb4Vj0ckuU9shCg0BiAsBh56xHy00z18R4IDq58cwskbeT97HJvgc8o5epU5vm1qUHvedM9+dsU8MymyOYrqUNB4UcYVcnTXKdrWBsrCiFjUz/qzY0HhBL2VhuZ91aZrhy5Qpef/11rFmzxuJUiJdeesn4MyNvrGvr3Lkzzp07J40WOQUjf4wyGqDoK1++fI6dTylc3A6Lwcmbofh55yXExCXi8Wbl0KxiiawJAiVDXB1s0bVOKey/HGR2+/21fOHuZIvImHhcCYrELzsv48LtCDSvXEJMj9mtGxgRg09WnjD7+st3InHqVljmPre46GSvNqY3/Y8Dfo2Bxn0BzwqAjeXOYavh5AFUuR84ZMH+qU5vwC77dhbsWuVoLgorTnkwTCegvYghwpYRYTFhMlO2llctsRyJjo/GscBjMh6LY7RYP8eaOIOII4a6OdbMGUZ9KYqSRSFXokQJ8Y0bMGAAnn/+eUl3Zod9+/bB399f6uMMUAQy8jdjxgxJb9qk8jxigwU5e/asCDk2OezevTvFPrduJQ8f5jbDs2Gd6T7MN5uLxhF2t2anA1cp2iLu/WVHsfJIckSYbDwdgNpl3DB3wH0q5qwIo2oPNSyD77ecR2BEyhSqm4Mtnm9VMTm6dtIfr/1+wOiTu/XsbczadB4LX24FDyc7XAy0nELdezEIHWqYn5JhhCnLS1uBX59MjsiR8xuSGw36/Q1UaGWVRoN0YaSq3RvA8b+AuKiU29zLAlU6WUXEnbxzUurXWLc2p9sc+aN+4OqBIuTmdpuboZij7ciKCyvwya5P8EDFB/Bey/dwMvAkhq4bKh50X93/FS4EX8C+W/uM6VSKPYq4i6EXpSmCY7g0vaoo91Ajx47Qzz//3FiXNmjQIOkUpSBiMZ7hkVkYWTty5IgYChsezZo1Q9++feXn1CKOcD1hZM5Qn8djUBAaYISP11SnTh3jPuxUNYX7cL2iWBtGcExFnIETN8Kw7NB1JCaqfYI1YVRtySut0atBGTE1ZsaUUbq/hrVB+RLO8A+PwZuLD6UYdkAiYxMwatFBESIUfZYo75WJVF74TWDJ4LsizgD925YMuuvvltOUqAwMXg9U65IsHBkJbNgXGLgS8LRuRoEzYfuv6o9+q/pJBO1eWHNpDQavHiwiLiEp+d5RvDX0bYiJbSZicofJaFe2HRp4N5CaueGNh6NH5R4q4hTFGl2rtBqhF9u8efMkcta/f3+pKbO1zV79hWmXKtOnnBLx4IMPomTJklIjR3sT+tht2rTJGMHj/qyhmzRpktTDMVpIexFT+xE2SrCp4oUXXsD69evx2muvSSdrZu1HtGtVyWxN3PDf9mP1sZQRYAMVSzrjjyGti44lRi7C9GlQVBxdayWdaug43Xw6AP1+TBm1N2Xz6I5YvO8qvl5/Ns021tKtGdkeFUq6pH9ymu5+n07Ea8hWoHSyiXquwFq56NBkMefslRytsxKGqBxNgDlrlXCU1Lzu87KUWv3n/D/4dPenxnUc0TWz80xJrRL6yfFYhpo4TofgxIhMz51VlEJAjnatVqhQAe+//z7Wrl2LGjVqiJmvtTs7aR3C43ft2hW1atXCqFGj0KdPH/zzzz/GfRi1W758uTwzwkZPO/rImfrOVa5cWUQbo3ANGzbElClT8MMPP6iHnGJ1+DdRTHxihs0PSlqiQwMRdec6YqPND3ePiouHf1i0xS5UZwdblPV0kjmxprYhcQmWPw8SGZeA51tWlHq6FMezt8HcgfehtGcm6spSR+Kyut3aOHokR+A8yllVxBF6u7nbu6eIilHIudq7phBxHNFlSiyjk/+HzQyNfBrJGCoD3St2lzmsBng808YGviarIi71NbAWzxROojC9LnOvUZSCQJZDaIzALVmyBD/++KOkWWkdQqHk5ZX9sSKcwGCAzQWGyFt6sKt15cqVGUb6Dhw4kO3rU5T0cLCzwRNNy2PjqQCz25n+83IpYN5kOUxMiD9wdQ8cd04Dwv0RV7Yl4tqOALwqw87eUebBXgqMxKxN57D74h34uDpiWKeqaFy+BLxcM24iqOZLgQGYy2j7eTiihJM9fN0dMfmJhvAPjcax66Eo4WKHGqXcUMrNEXY2mfhb160UYOeUtjaNcPySS/bqifMTbGxgjVxITIgIL/7xwtmgg1YPkpo5NkBwKsOem3tkCLy7g7ukXleeX4leVXuJCTCPsfX6VnzW/jNM3DERHSt0hJuDW/LkBiRZZURVSHQI/r30r6Rm2RzBaN6u67tQ3r08qnlWS54be+eUjAdr5NtI3guv61DAIXQs31GaORSl0Ak5NhXMnTtXLEMqVaqEgQMHYtGiRVYRcIpSWGhasQTq+Lnj+PWUEWofVwc836oS7LIxtLywER0WiGJbpsBh7yzjOrugi8CJPxHbbyVQ8T65j0/O3onY/0fWrtyJwqB5ezG4bWUM71wt3VmyhPVvr3SsKtMeTGHW8cNH6qKUR3LEjQbAfNQqcw+lEy6lgK4TgRV3O92NPDgZcE1OFxZ0GL1iw4FhKgObG1jbRmF3K/KWCDiH4g7SmHA1/KoMg3+o6kMYs3kM9t7ai/Mh5zGk4RAsPL0Qi04tQh2vOljQcwHWXV6HibsmyvxWisHsCjk2VCw+vRjTD0xHJfdKUl935PYRjNo4SoTlwp4LZTbsgNUDJGX7bZdvUdatrPF9fNj6Q3Sr1E3eo6IUqhq54sWLS0qV9XBNmza1uN/DDz+MwobWyClZ4UZIFJYfvoFfd12WdOpDDcrguZYVM1c4X4SIu3kSdrOSO9HTULoBIp5ajCfmn5E5quZY90YHVPW9O5zdHJcCI/D3weso7eGI33ZdxvWQKNQu446+LSpi4yl/vNa5Okq5Z9+WA1HBwM0jwMZPgTvnAZ+aQKd3AZ/agGPhie5ExUdh542dKO1cWmriOJqLNXNB0UG4r/R90r362e7P8O/Ff41+cUExQcYO1JZlWuLArQN4fePr8lp2vwbHBMu+Hcp1EGNgGgRnB4ozmghTUHI6BFOyFHeM9jXxaYLJHSeLAB26dijOBJ+BbTFbSQ8zOsfnn7plfm5sRgRGBco1GGr/eB0xCTHSiatjxhRraY8sCbmMyIqPXEFChZySVdidSksM1sQxnaqRuLRE7ZoLp1UjLG6PfmUPak09Y3H7pD4N8OR96Xdjrj95Cy/8tBflSjiJd5y3q73Yjfx14CpCo+KxekR71CxtRaFFQRcflVybxlq1Qghrzext7I01cWyA4MORJsj/Fy8Tdk6QSJuBz9t9LilL1r3x9duvb8frG143bm/t11o6VbMr4lKIuYDDEnUzwIkRtDfxdU6uh7wZcROD/xuMS6GXjPV/Cx5cgJolrCfivtz7pYhK+t8xXbvk9BL8cPQHnRmrWFV7ZDq1mpiYftGwoigpPc60OzV9itlkVC+Y/CXHJoanm5dHFW9XhMfEY+mBa9hxPhC2Nhl/Cdr8f4LD1aAozNyQtjPV6t+jTp4A+Ci8MMJEEUcxRxjdopAzwGVG6EwJiAww7sNnihxTGJWLT7LeCLG4pDip3TOFqV7T62SqmBFGA4wQMmLG67dB9oUc39Oqi6vkfr285mV0KN8B847Nk22/nfwNrzV+TbtwFauQ7VmriqIo94JNhRYWlVRihdZIcPDEiC7VMbZHLfx37BaG/bofk/49icYVPDHtqUZoUqFEhueg+KONiKVGCC/nXJi6UIigGFp5YSUO+h8UIcQ0Ic176QlHyxDDVIb9/vslnVrZo7K8bvK+yVh6diluR97G6our8dHOZGeByu6VRRQeDzyOkRtGSpQsu0TGRWLbtW0YtWmULLMBwzC3lYKK5zA0bfB6mU7lODAKuVfWvoL9t/an6Wa9Fyq4VTDOjGVtoUHEPVj5QQxtOFRFnGI1VMgpipInJLj4Iub+CWk3OHogocdkuHj6oJ6fB1797QCOXEueI8p09Tcbz8mQe1qEZASjop8+ltbDzdGuOKY80RDeGjXNUrpyy9Ut+Hjnx3h57csi5ijihq0dhve3v49dN3ZJJItRLqmJa/+F+Mt1r9RdXs8aNIolikFDTRxTjF91+krEHH3p7sHWNA08R1RclNTENfZpLNfw3QPfiaCiQOM5DFFEijg2bczvMR/VPasjEYlyHexqzS60TKE/Ht+nKaOajUJJp5LZPr6iZMsQuKihNXKKkjNEh91B8TvnUHzPbNiGXUd0hQ6wafgkbEpUwO2IODw+a4fMPDXHqtfbSeNCRjAdezkwEj9tvyD1cfdVLIEnmpWXujnbzNiLKEZuhN+QqNW5kHMi1iiWUhv63oq4hXPB58TWgzVxTKMe8D+AZqWbSXMD05fsYuXEBtbEsWaOth+MYJVxTZ7ak13YdMHIGpsWWBNHEXo08Ch8nHxQzq2c7EO7Ewo+Q2MDI3UXQy6ioU9DONFOJpvwff555k9M2TclxfqK7hVFWOrMWCXXmx2KMirkFCVniY+NRkJcDGwdXY3j+c75h6Pzl5a9JD99tD6eaVEh0+dgBzEfTnbFYaMC7p6hUHtq+VMIjE6uc6NtCJsEStGG5f8womXaMJDVZWuQmXMwemdqZGzN66CY7f13b/m5Z+WeeKTaIxi2bpjUzHHUGOfM0lxZUfJksoOiKDnPrdBonPUPFwuNsOg4FObxWtfDE3Elojj8w2ON82jtbIul24zg4Zw1c2V72+JwdbTNORHHqQDBl4GAU0DwFSAhbz6zgLAYnAsIx8XbERYnYdwrrIljEb9pupA/c51pXVlqMZR6OTQ2NEUaNSQ2RI6dJeKigaBLJvc7ZbNERtdAUo8Us6aYpLBlJy5F3Oj7RqNZqWZSM9fEtwlGNR2lIk6xGlmOyNFHbtCgQWjfvj2KChqRU3KT8Og47LpwB+OXHZNuS4qZjjV88MHDdVExo7mfBYzrwVGYtPoklh+6gfjEJLEHGd2tJrrVLS0dpyMXHsTaE2mHstvbFMe6UR3yjzdf2C1gxwxgzw9AXCTg4Aa0HAbcNwhwTTn+K6eIjkvA4avBGPvnURFy5L5KJfDJo/WlsSO7VhdMTzL1+POJn1G9RHUERt5B8eI2cLV3xrXwa3i65tPS3EAbj/RgCvPtzW/jnRbvJB8nOlC85/pU74MmpZqkGNVlkbAbwJYvgf3zAY7eotVL21FAo2cBVx/kF2g8HBsfCy8nL+M9ZK2gNaZXKIWf0JyKyPGAXbp0QfXq1WUw/bVr17J7rYqimHD0eqhML6CII/xTa8OpADzz3U7cCDYzBqqAEhAWjZd/3oulB66LiCO3w2MxZskRrDl+C64Otni/V12xHzGFAm/ms43hm6pRgWnTuHRm3eYYHFC/Zjyw/atkEUdiwoBNnyWLjVjzNX7W5sLtCDzz/S6jiCN7LgZJnaHhdylbFAP2B+zHX2f/wqQ9k1DOrTx8nLwxdd9UmdRw7PaxDA8RHB2McdvGYZ//Pgz4d4CYCU/cOVE6WWnQeycqpWWIWSKDgOVvALu/SxZxJDoEWPv+/4V0/pmX6mrnahRxhgYIFXGKtcmykFu6dKmIt1deeQULFy6UcV09evTAH3/8gbi4wpv+UZTc4E5EDD5ecdzstush0Th4NdkFvzBAcXHkmvmpDZNWn8LN0GhU8HLG4iGtMOu5pniuRQWxIln7Rge0reEjs20NgnDz6QAM/20/XlmwD2uP35K0dK4REQAc+d38tj3fA+G3ciWKO23tGSSYGSobEhWH1cduZrsjNCnRBrXcWqFl6Vay/OHO8fhk90T5uV3Z9qjs0gRJSel/pXg6euLdFu+ipGNJiUw9ufxJrL28VraNbTEWrvbpT+oQIvyBUxbma2+fDoRn38JEUQoS91Qs4uPjgzfeeAOHDh3Crl27UK1aNTz//PPw8/PDyJEjceaMZTd2RVEsEx2XiKMWxA3ZduY2CgscUJ9enVdkbLIFhJ+nE7rXK42PH62PlztURWVvFziZiLi3lxxBvx93Y/WxW5KGHTx/L15dsB+3QqJzT8hZEkk0oOW0h5y+hJgE7L+c0oTXlC1nbiMmm9FK1mm+88dFvNZgvDQ4GCjrWhYv1R6LD/66goiYjE19K3lUwtzuc1Ose6LGE+Kvlqlh9axDtERcFBBj+fdKUQoj2ar6vXHjBtasWSMPdpo9+OCDOHLkCOrUqYOpU6da7yoVpYhgU6yY1IlZokLJzNeE3Q6LxulbYdh78Q5O3QyFf1h0jkSCLgZGSG0WGzOCslBcz/mnlmANHB8ZcfBKCNadTFtDt+dSEDadDkCukFEUyT77VhYZYWdbPE2q2RRardj9f8rFvcII6GNNvbHbf6sMlzfA+rjDd3ajVyOvTH1mtCOZvn96inX/XvgX18OvZy5q6JxBatI25++3ohRoIcf06ZIlS/DQQw+hYsWKWLx4MUaMGIHr169j3rx5WLt2LRYtWoSPPkp27lYUJfPQwPal9lXNbmNtWNc6ycO3M+LKnUiM/esIuk3bLDVS3aZtwejFh3E5MMJq10ph+NHy47h/8kY8PGMbuny5SWrerlrwfUtNrdJuUgdnjt6N/dIVtITRH3rDWWLejouSqs5xXHwA7+rmt/k1AZxzvvjey8UewzpVs7i9b8uK2e7WdbBNQpkylzHt4Mey3My3JRr73Cc/f7F/PMqXvQH7DBqJObrr8z2fG+ewPlfrOWOalTVzFIUZ4lYG8Ej2gktD5faAi3XmtSpKQSHL/7LLlCmDF198UUTc7t27sXfvXgwZMiRFR0WnTp3g6Vm45w0qSk7NaH20sR961Esp2DhmavZzTdONYhlguvGj5cew5rh/iowfI1Rv/3kEN0OyX/geFRePr9edxaK9V2FalrX7QhBe+nmvpEYzws6mGKY+1RBuqcRc4/KeeL5lRdhlIDwSk5KkwcESTCWaKRmzPm6lgKd/BdxTGbyWqAw8/iPgkjsu/i0qe6F/q4ppxD8nW5Qvkf0oFQv163vXF0PbVqXboU+FN/FUpTFo5tsCVTyqonbJWhl2rDJ1+mytZ6Uz9b0W7+HVJq/KdAeKuR5VeoiBcIbwPj+7OFlAm+JdA3h45v/n3SpK0SHL9iM///wznnjiCTg6ZvyFUlhQ+xEltwmKiJWI16GrIfBwskOdMu4o5e4Ae9uMfa6YTmUkztK/7MxOREgPTlvoMmUTYhPMC6nlw9uiXtn0Z0nuPBeIiStPYGinqlKQHxgeiyo+LrgZEo1Zm87hz6Ft0nSspua3XZcl8miONx6oIVEqiplcIfQ6cOc8EHge8K6WLOTcrTOpILPwPt4Oi8GBK0FwsLVBg3IeEuV1tk9fYGWFa2HXkZhog30X4lAcxdC4sg1siifBj5GyTMDRWBxoz/FYhpo4ToxwsHXIWkdnyDUg8AwQdBnwrQl4VgTcMhexVpTCpD2y/K+bTQ2KouQsJVzs5VGzdNYFV2hUnEURR6xhEsu0piURZ/CHy0jInfEPkxmqr/yyHyVd7OHuZIcbIVHS8GHwRcuIjjV9pPmB1humlHZ3RJ8mZXNPxBkiRXxUaou8gqKfj6q+mej+vEfKuiVHHss3urfXM2rHsVmm3NNoLo+yyQ9FKeJkSsg99thjmT7gn3/+mZ3rURQlm7g5pv/Pml/02cXF3ga2xYsZ/d9SY0gBU/AFhsfgtH84bIoB1XzdZFA9u04r+9wVG4ERsfIwPb5jJqKPZTydsGBwCyzeewWL910V+41HGvnhuRYVUbZEPjELLoQjuijGDIPfb0fdltFWpiO60iMuPk4mOdgUs0EJpxLGiBynLGT2GIqiZFHIMbRngJnYv/76S9Y1a9ZM1u3btw/BwcFZEnyKouQMJZzt0b66NzabsSppUqGERPqyi7ergzQk/LEvbXF6VR8XiYgx8rdwzxXxhDP4m7GrcULvuniwfhlU9XaRTkt/M/V0A9tUgq975q6T9iSvdqqGp5tXMBb+Z1Rfp9wbnMrAeaHVPKvhrfveQhKS8MmuT6RJ4atOX2UoxCjiTgSdwEtrXsKY+8bg/vL3IzAmEEPWDEHnCp0xoO4AFXOKkhNCbu7cu54/Y8aMwZNPPolZs2YZh1snJCRg6NChWj+mKPkAX3dHfNy7nkxI2HE+ebC5QcSxuaCMR/YL36nLHm9SHkGRcVhnMkKrdhk3vNezjvx84kYoPl11MsXrmI7lddX185DU668vtsCL8/cZU6OcIvVEk3Lo37oy7P7//5fMwI7MUu5Fp243L+B4qb039+J00Gl5cPg76902XNkg2w8FHML9Tven2/AQFBuE7w5/h4i4CLy//X1cqX8Fy88vx42IG1hyZok0QiiKksPNDjQD3rp1K2rWrJli/alTp9C6dWsEBt794igsaLODUhBhdyqFFr3dmE71craXVKQ14ED27tM3Y2DryrivspcMvne0t5H1bFSY/XwzfLXuNDadNm9g/Gjjsvi8TwMZZM+mDjY6MA3LSF9JV3u4OWY//atYn9CYUCw9uxRf7P0ixXpOa+hZpWemDH3pF/fe1vew59Ye4zo2Pnz3wHeo61UXdrb62StKjjY7xMfH4+TJk2mEHNclJubBnENFUcxS2sNJHjlBVFyCNCV8u+mcPNhUYDoeihYo7KC0xKXASGlmoJDzdXOUh5L/cXdwR6+qvTD/+HyjKTAnO3Sv1D1zUxmYCnf1w7hW4/Dw0oeN6x6q8hCqeFRREaco90CWhdzAgQMxaNAgnDt3Ds2bN5d1HNP12WefyTZFUQoGbEK4FhSFjacC4Oxgg041feHr7pCpaBiNfB3tihs7TFPP+KxQ0kW6STl5wRz3VSoBZ3sbINw/eaRSiSo00UseiM7B6ez+tEsWoRy1dSYgHLvPB6JsCSe0quKN0h53rViiwwJRPOwmEk/9i2JJCShWoysS3crC0SPnjXiLGmxsYE1c6skOn+7+VGrmDA0Q6XEh5ILUyJmy+PRiNPJphHZl2xkbIBRFySEhN3nyZJQuXRpTpkyREV0Gk+DRo0dj1KhRWT2coih5ANOZY5ccSTHe6uMVJ2Qo/TPNK4gVSHqwHm1w28qYseFcmm3NK3uhtJsjhnSoin8O3UjT2UpzYzYm2EbdBv59GzjzHzBgBVCiErDvR2D9x8AzC4HK7XAtPAnPz9mN8yb2ImyYmDOgGVpU8UJi+B0U2zYN9rtn3D3B5omIrf8sojuPh6On+opZC9bErbu0DmsurZFlNitw3Zf7vsTKCyvR2q+1pFfTq5ELiAzAxJ0TpWmC6dSv7/8a3x/+Hrtu7sK47eOw6rFVKAEVcoqSozVyqfO3pLDXjWmNnFLYWLDzEt5detTsthWvtZVmhIyg8SzHYP2w5YKkWple5USKd3vWloYKpk4PXgnG6D8O4cqd5GkS1XxdMfmJBqjn5wHbsKvAnK5A2A3AwQ2o1hU4tiT54I2fR/z94/HasstYeeRmmnNTDG4c3QFeAXvh8Esvs9cX8/jPcKh3N32nZJ87UXdEuNXzrieiTVwMzv6Fi6EXMbzx8AwNfYOjg3E57DI+2vERhjUahuO3j6NWyVr49eSvcrwWpVugrJt6wylKVrTHPQu5gIAAaXAgtWrVgrd34Z1vp0JOKUywfu3J2TvTmOga6NuiAiY8Uk/GhWVEbHwC/ENjEBYTL6lSGvu6pkrN+odGIzgqDjyap7O9TBowEngO+Klnspgz0LAv8MCHuBzrgk6TN6ZJ2xrY8kZL+K19FTanV5q/uPLNEf3E73B0z50RWUVJzHFcl6Emjg0Q8UnxmZ7KwHmr7FKdsHMCjt4+Cvvi9pjUfpJYmlT0SDliTFGKMqGZ1B5ZNluKiIjACy+8IOnU9u3by4M/s24uMjJzw7IVRckcnCVqScjcKxzIwE5WS9DXLcHk77vERMszTVmnVs7LWUZ+VSzpkkbEGexQapRyQ/VSbilFHHH2Bmp0T7mu+WDAuWSG7z0pLhY2TM9aIvIOkhKyP8Ui10lMAOLz73V7OXmlaGxgA0RWRmt5OHiI+S9FHIlNjMX6K+tRwlFTqopyL2RZyL3xxhvYtGkT/vnnHzEB5uPvv/+WdVojpyjW4UZwFP4+cA1DF+zDmCWHcfBKkFVGaxkmP7SqYjlK1a1uKTHUDYmKlRFa7/x1BK8s2CfTEzh6y2qwsWHvD8C+uz6VwrxewK0j8HSygd//J0SYw9bJDTGVH7C4PbbS/bB1LkAD1CPvAFf3AsteBRb3Aw4vSp4nWohITErEmaAzGPhvysa4ZeeW4efjPyM4JjjPrk1RCipZTq0yhfrHH3+gY8eOKdZv2LBBjIKZci1saGpVyU2uBUfhme92ymB6U4Z2rIqX2leR9GR2OXUzDL2+3ppmXmoZD0cseaU1XB1tsWDHJXy++lSa7QtfboUKXlYYfxVyFZhxHxAXCTR6DugwGvixe3KatWpn4LHv8e+FWAz5ZX+al7at5o3pzzSCe9R12P14f7IIMsXeFXEvboKdTzUUCKKCgG3Tga1TU673qgL0WwZ4lkdhgDVy47aNw8arG+Ht5I157adg7qmF+OPiSjjaOOLvR5bCT2vkFCVnfeSYPi1VKu0IFV9fX02tKko2YTqRhrqpRRz5ZuM59GroZxUhV9nHGX8ObY0P/zmGPReDZG5qzwZlMKprTRl5ddY/PI2IIzdCojF1zWlMfLQenO2z/L+PlLiWBgYsBw78CnR8G3D1Se5eXfsh0OMzwKUk2lSNw19DW4snXURMgliesNauXjkPlHRxAFwqI27AahRb+wFsz6xiwhUJlTsi8YFPUJxdsAUFitrUIo7cOQ9s/wro+jFgmyotXQDxRHGMq/407IvZYHiV3qiw8AUMb/saHKra40G/dvCNT8jrS1SUwh+R69y5M0qWLIn58+fD0TE57REVFYX+/fvjzp07WLt2LQobGpFTcosbIVG4f/Im6QI1B6Nyb3WvZbXzMV0bFh0P9jVwRquzQ7I4m73pXJrxWgbsbIph4+hOKGuNKREJ8ck+cs5eKVOuzsn1UrfDY/D95vOYu+2iMXrYqLwnpj/dSGryDMREBKNYFNNySUh08ISjWwGrt1rzAbDNjJAj9i7Aq3uTvfUKOncuAN+2RkiPT+GxZSoQdFHmsgV3GQ/Xk6tg2/h5oMnzeX2VilK4I3LTp09Ht27dUK5cOTRs2FDWHTp0SETd6tWrs3fVilLE4Z9VMelEJTjGypowumcuwhcZa/ka4hKSxHbCKtjYphRx5P8iLi4hEQv3XMbszedTbKalCb3lFr3cCqX/X0Pn4OIJ8JHDBEXEIjEpCZ5OdjLfNQ1M8caGA2wG+P/7yBR8DanaCWj2IsAJB9f2A5u/AOKjgaRCMjWH7yMuEh7LXjdZlwRPCllSr0+eXZqiFFSyLOTq1auHM2fOYMGCBTKWizzzzDPo27cvnJxyZhyQohQV3B3tcH8tX6w1GURvCtOfuQGvYfq6M2a3taziJZMdcpqAsBjM3pRSxBlg6vlSYIRRyOU0t0KjsfXMbfy0/aII7Yca+OGxJmVRrsT/awUjbgO3zwDbpgF3zgHeNYG2IwGvqpkTdHX7AA2fAm6fBbZ9CcSEAVXuB4ZsAY4vAxwz9vUrEPB9lK4P3Dxifnuldrl9RYpS4Lmn/xs7OzvjxRdftP7VKEoRh00GTJ1uOxuYJr3auqqXjL3KDWgT0qGGd5qh9zTifefB2lap08sIRgVDoy1HIFnH1yKd7ltrQR+8Eb8fwI7zdxsqvlxzGgt2XcIfQ1qjvGsScGolsGz43RdR1J1aAfT5EajVKznClh4eZYBVbwOnWef3fwJOAYd/Bwb+m2yYXBhw8QZ6fgnM7QEkpvpsGzwFuOkkDkXJcfuRwMBA489XrlzB+++/L+O5Nm/enOWTK4qSlireLlj+Wls81rgsvFzsUbGkMz54uA6mPtUYPrk0XJ61cw83KovR3WrK9ZRwtkO3uqXx3fNNsfzQdYRFx+X4NTjZFYeTXfI8VXNUyiVRe/xGaAoRZ+BWaAzm77iIpNAbyaPGUsP088pRQMiVjE9CmxFTEWfazbrxs7RduQWZ0g2AlzYDtXomp9V9agK9v01u6EidZlcUxXoRuSNHjqBXr14i3qpXr47ff/8d3bt3F4Pg4sWLY+rUqWJL0rt378weUlEUM9jaFEdVH1d8/Gg9hEbFg6VY3q4OKFYs40kL1oKpXUadGpTzwFP3lYeLgy2OXw/FKwv2S6SwX+tKcDNj/mvtqGD/1hUxy0x61dfNAVV8cl7IxSeyTs+yEFt28DreqesMxJqfkiECLDIQKFkl/RMd+9PytlPLgS7jC4/IsXMEStcFHp2dnELmbFZX37y+KkUp/ELurbfeQv369aU27ueff8ZDDz2Enj174vvvv5ftw4cPx2effaZCTlGsBO09sm3xcY/Y/F8zHr4aIg9T2OFqTUnJxglOk+AECY758vh/2pZTI15oU1lGgP118JoEuAg97Ob0bybzXK1JqFicsIO3GLzdHGR2LN9nepPKZFtGAjszN6uY5cgjimU5cZJ9KEDjopJFlltauylrEJzggKhEW9BQxicxKVMj4RRFSUum/w+xZ88eTJw4EW3atMHkyZNx/fp1DB06VKJxfFDIGZof7gWKQEYcRowYYVwXHR2NYcOGid2Jq6sr+vTpg1u3bqV43eXLl0VQsm6PXnZM88bHp6y92LhxI5o0aQIHBwdUq1YNP/300z1fp6IUBTrXtvzl/UCd0vBwtrPa3Fc2EPSeuQ3tJm3AoPl7sf9SECL/353L8V4fPFwX697ogIUvtcTK19rijyGtZNyXtYiOS8DRayEYumA/2n+xAQ99vVXsV9jgYFO8OJ5tYXn+52NNyydHkxwsWANwG8eQZUS9xyxvq9MbcMqlebHRYcDFrcCCPsD0BsCcB4B984Bw6xm9R8bGS+fxyz/vk8/8kRnbMHf7BfldUBQlB4UcPeJKl04uRKWocnFxQYkSd7ux+HNYWNg9XEKySJw9ezYaNGiQYv3IkSNlFNjixYtlBBjF42OP3f0fXkJCgoi42NhYbN++HfPmzRORxro9AxcuXJB9OnXqhIMHD4pQHDx4sFqlKEo6sBuU0bDUeDrbYUz3mnB1yL6QuxMRiw+WHceH/xwXo+H4xCTsvRiEPrO2Y//lION+7k52qOLjKo0Ndfw8RNxZk5M3QkVIbj17W6xVAsJjMGn1KYxceAC3w2JkTmyX2r4Sfavr546G5Tykdq+8lxOebVEBsS5lkPjQ1LSRueI2SOz1FeLdy2V8ER7lgfpPpl3vWgpo/ybglAv+lQx5XtgI/NQz2fqEzQjBl4B/XgM2TATEpy/7MML72DfbsOvCHfnMb4ZGY8LyE3jnzyO4ExFjlXMoSlEi04bAjLoxGubj4yPLbm5uOHz4MCpXTv6fPbf5+fmJuMoK4eHhEi375ptv8PHHH6NRo0aYNm2aGODxXL/++isef/xx2ZcRv9q1a2PHjh1o2bIlVq1aJSleCjzDtIlZs2ZhzJgxMirM3t5efl6xYgWOHk0e0EyefvppmRH777//Zuoa1RBYKYrwS5WjvH7YckFEV+favnikUVmUt8Z4rv8LqO7Tt5jdxu7cRS+3zPHmDvrCvTBvDw5cNi9SOP2iSYUSYtQcGB6LDaf8ERWbgA41fGQCBu/FlTuR2HH8HB6rFAeb3bNQLPAsknzrIOG+l/DzqWLo2qgaypZwytx0B9py7P4+2SS5erfkSF3JqsgVQq8D39+fPCLNHDQl9q6erVPQ4Jnj5874/983LxUrXmuLun6FxGpFUfKjIfCAAQMkPWlIew4ZMkQicyQm5t7+kmLqlBGzLl26iJAzsG/fPsTFxcl6A7Vq1UKFChWMQo7PrNszHRlGs+JXXnkFx44dQ+PGjWUf02MY9jFN4aaG78X0/fBmKkpRw8vFAa2qOqBR+RIyVYHecawbsxaWxBO5cDtCJk745LDrRnhMfLrXselUAKr5uGLF4Rv4eMWJFOPSetQtjY9614V/WDTeWn4Znzjb4u3OI1G9RhKO3ymGSd9dlvfQtHr5zAk5j3LJj/ItgYRYwLlksmFybhEdYlnEkVtHsy3keD8siTiy+8IdFXKKkkUy/X8JjuAy5bnnnkuzT79+/bJ0cna+7t+/X1Krqbl586ZE1Dw9U7q1U7Rxm2Gf1HNfDcsZ7UNxxtFi5kyMP/30U3z44YdZei+K9aJAIVHJI6OYxvNwynm/snvhVkg0ImLjYWdTHCVd7fOkKSE8Oh53ImORkEiRZSddnqbEJyRKEwFrwBzsbKTTk9ebFVirFhgRK1MWYuISrJrWpGeeJZiltJpoTExItvGgh5kBdpI6l5QCe3ub4sbxX6kp4WInETdTEWdg1bGb6FDTB/XKesj1tqzogaqucXBBPGq42eK+Cu5Yf/pOlu95liZC3AvssKWBMcWigyvg9n+T6eIZpMv/72UXFB0EBxsHONslR2Yj4iIQlxAHT8eMJ2twpm9yitoDI1q4wc85AXGwxeITMVh06Dbc0vmdUBTFPJn+VzN37lxYE9qYvP7661izZo1xZmt+YezYsXjjjTeMyxR95cuXz9NrKuzEJiTgxPUwvPPXERy7nhwBbVXFCx89Ug/VfF1z1Xojo87G7eduyxf71aAo+WJ6uKEf3uyWPGw+t+BUg49XHMe6E/5ITEKyXUnvumhY3lNEJVNYi/ZcwazN58TChNG0QW0r47mWFdMIPktcC47C56tOYuWRG1LLxJqw8b3qokVlL6tYj/Baef947NR0qukjHnpWEXFMV278FOg1PdlwloPol70GPDITXi5l0buxHxbtvWr25d3qlMbX689aPPx3m8/jpxeaY8HTldHgxh9wXfldsqWGoydqN3sVBxr1RElrvA9rwfTtugnA0T+Sa+A8KwDdPgEqtU+2NynfAriyK+3rKNq8ayA4Ohg/HfsJdbzqoF25dkhCEjZc3oBLoZfQt05feDqkL+a8XOzwVe8qaF3sMLy2fgiEXgNs7FCj9uN49vnX4eJTSCxWFCUXyYO+9rupU39/f6mPs7W1lQcbGr766iv5mVEzNjGwls0U1uIZmi74nLqL1bCc0T7MN1saKcb0MbebPpSc5dLtSDwxa4dRxBGasD4+a4cIpvwCC7SH/LLfeE0UIX8euIYXftojEwByg+vBUXhq9k6sOZ4s4si5gHA8+8MunL4Zhqi4eOm6ZME+RZwhhciRW1/+dypTZr6MOPabswvLDl03Cq0rd6IweN7edFORWYERwmlPN0rTI1Da3VEEo1V86mijMe8h4PS/wJLBQOBZYF4v4OIW4Pdn4RQXjNc7V0elkmnr/ib2ricRolvpdFMGRcaihE00Wl78Fq47pySLOBIdDPetH6NtwK/wdcwnc1LDbgILnkieFmGYqhB8GVj4HHB5W7KQe2RGysglKW4DPDEPcS4+WHdlHX48+iNGbx6NTVc2Yd3ldRi7dSxmHZ6FrVe3Ij71tIZUuDjYoYfzCXitfClZxJGEODge/Q21Ng5BWdt7a5hTlKJMngm5zp07i8kwO0kNj2bNmsnMVsPPdnZ2WLdunfE1p06dEruRVq1ayTKfeQwKQgOM8FF41alTx7iP6TEM+xiOoeQ9tCP4ZuNZs+mtkKg4LD98QzzG8hoKtQnLj5vddvJmGC4GWjCFtTL7LgVJp19q2Lb06aoT0mlJSw9zLNx7RVKlGcE6pnMB5t8P7wHPkV0c7WyS58qO7IARXaqjT5Oy+OrpRtJgULGklcx+7ZySI3FUixRvXzdNjkrZuySLFqcSKFvCGb+91FKmVvAahnasiv9GtsfDjfzg6mgnUTlLtKxSEi5xQSh+8Bez29n8gAjzc3NzHYpYf/O/v1j9LhB2S6JueHEj0HsW0OBp4P5xwNDdQOX2sLNzQruy7dCsVDOJxL215S28u/VdeXnrMq3RokwL2NJ3Lj1Cb8Bm7V1XAVOK3TgIm5DL2X6bilLUyLOCBHa91qtXL8U6Nk7QM86wftCgQZLi9PLyEnFGrzoKMDY6kK5du4pge/755zFp0iSph3vvvfekgcLQlMGGjBkzZoih8QsvvID169dj0aJF0smq5A9Y67X7wl27idRsPh2Afq0qynSBvCQyLkGGtVuC1hnNK+e839f6k5aFwf7LwYiJTxQbDXNQDweGx6BSBkJpx/m7o/jMibzUc2DvFaaBq/q6YkSXGsgRWANWowfQ6V1g/d1mKjy7KHlUFKNNgJgL89G1blrR1qa6N0q5O8hILlPsbIqJAC0eeRxIshB1S4gDIoOAEpWQ51w2kzI1wHRz3P9/tz3LA42eSX6kwtfZF5M7TMZTy5/CrcjkTIefix8+afcJSmbG6y4uIv2RZVf3AuWbZ+LNKIpiIF9XlnLsF21PaATMLlJ2m9KmxICNjQ2WL18uXaoUeBSCbMr46KOPjPvQHoWijZ50/2vvLMCbOt82fidp6u4tFYq7O8OHj+HO8CFjwoRtzNh/+7YxZxsbOtx9OBvuUlwKFGihpe4uafNdz3uaNCltE2ihLTy/6wrtOSdyztuQ3n3kfn777Td4eXlh8eLF4rmY0oUEAkV7slS5Yjanqy0V1xfjWJ8HFYM7W5uKmqyiPM0eu2C8BJARLM0aTc3MEca3LtamsLUwhVIuh7lSjozswn9pezyjGrni7D9olBdNJrCzUGDR6OawtzBFUka2SBFSenXKyvPaxgyqozM3kYuok2abCtGpW7WSfdF1q6XdvUoWINS0QbYedhZS0wZF67RkZwApkSJdCRMLKfX3OOOq6LHnC5iA0/zSgYvzh7RT8b+ptTQ+SjwmCjAxB8xtUcneAhsmt8YPe29h7/UI5OSq0cTXHl/2qStsUhBjIHqoec6yxs6z6GNUA2compbX2HAq7JRWxBHhqeHwj/AXNXOaBogiUZgCJmaAqoiIrm0x58gwTMl85F5k2EfOMIGRyXhzzUXcipRqXKxMFXi/e030b1QJDkYUe++9Fi5qzwrjn2ltRWH8syA4JhUfb7mC03lD0inqMqy5D6Z0qCoExne7A7C0kLSlmYkc+9/rUGoea8VxNyoFL/96RDuySpdZfeqgf2NPJKSr8OPem9hzLUJE4Siz2LW2Gz7pVRuWZgrk5gJvrbmAYS180L2um4jizd5zU/yspnaoKsRfl5+PFNqIQMff61bdKJFuTNPGuxsu4cL9BO06vt7OD+Pa+sHJ2kyaKHB6HnB6bv4vfyrIpzmdjo8aFj8CDbT/++X8dGrj14CzC6Q8tF8HYNASKRK1aiDQ8wfApw2QEQ9smQzU7QvUGyTEHEHju6gmLletFvV7DnmjxERKcmkPKapVEIr6vbb10bqzsiA+GJjbXOpWLUjLKUDXrySRVQTUmXok9AjePfyu2G7h1gLZ6mxcjLoIGmb2R+c/0LZS2+LTqzT2a8/HwIVlhafB3zgDOBQ9SYNhXiSSjNQeZVYjxzw/PIxPx5AFp7QijkjNysFXO26IDk9jaF7ZUXRU6kLi49PetVHZ+emLIyIkPk2MDdKIOIJSlCtP38eyk0FQ5eRgcocqaO6rbw9B4oNmf1L67VngYW+OOUMaPRIV61HXHb0beCAzW40f9tzErquSiCNIt/x7IxKz/rkmIkrLTwbh3P14vL/xMv65HCZq6zaeDxVdmAERSfCwM8ei0c2ENYcu1Ek8tm3lUhFxFPkcveSsVsQRJCjnHrorziUnOxu4tBo4/rN+BIe6KlcNkESaIUiYNBwuibgxu4AuXwAD/5ZSqiReiL0zgZjbwOpBQOA+ScTRhIOd7wKp+aOpKLXv5WAJH0erfBFH0CzSYWsfHfxOnnCDl+mJuJyc3DyLHcMNJ6WOjaeUUqZIoy4+rYC27xQr4gilQolajrXgZe2F1h6tMbv9bJFmpZo5H1sfVHeobrhGjsRahw+BSs0e3T9io3SODMM8FhyRMwKOyBXPjstheGvtxUKP+TpZYuOU1nA1wqGf0pnRyZnCFFRpIhfijqJglMp7FvgHS12yhUEjmch1nkZFUaE/pYFpXiSdX/1KdkLE0ZD3ZwXVqEUnZYiaOIqe0Vq52ZoLyw6axtDjt6OFRuyIPe+0E5YYH2y6jKO39YX2+11r4LXWvrC3NEWWKkfUhV0OTRBTDZr42Iv0MaVvS4Mz92IxdOHpQo/ZWpjg3Ju1YLaovZRSLYxxewDfNsZ1rmalALaVJAGXmQJkJgLmDoCppRSto27Ogo0AAxYBNXtJdXbGQM8TfRuIDQRcaknmuTqpQvKj23whFHuvRQhROPElPzSr7PDUp1foQdE4EsBhF6X0sVczSXAWFKHFEJYSBqVcCRdLacpPVFqU6Fb1tH4MEUavTR2zNAqM0tseDSURZ1I6M3wZ5nngqUx2YJjCIEFTFPdj00TNnDGQeKBbaQ5EfxzuxaQWK5zIAJhwtjETt2eV7i1KWPo4WYlbQUjYFffnGaUHa3vY4rdhjdHmu4PaxgUSahoRR5AwpVTx00oX346SIrgFveRoW9imUBquKBFHRN00TshRPZ1uTR0JM11xRkJm1Gbgl9r5+xoOA2r2NF7EaZ6HbtU6P3LoQWwq+v91Uq9jmLqPKa39Tb/64v30TKAaNUpdliB9WVCwUQPEY0PCkW4kJBmGKRGcWmVKTA23on/ZUaTqWTYqlASvYsYoUa2cpbJi/N1jYyCCaWeuFI0pVO+n231K0T0yGE4xwmeuNPB1tMKnnd1xaEptbVp6UH1HnJneCE197KQUYHHF88bUyBnrr7Z1qv6+q5uAh+elRosSkp6lwtxDdwq1fdl3PRL3456NbQ3DMM8nFeM3LFOuaVPVWUSICuOtztWF8WtFwMveokgx17ehJ1xsypFDfzHYWijRumrhVhCNvO3F6LMVp4K10wymdqiCdtWlOi6qmdM1ZX6aNHEFhsr2w3tzH6wb7I5JrT3wcc1wOC1phaU9LSCn2rPmEwp/MEVzSjj3U0DWIOShRjVxRLdvANe6kmEuNUAkFT7x4XFISM/GjstF1/NtvpBnjMswDPMEsJBjSgwVxq+d1FJYiGigOvzxbSujZz33cjNeyxCUpvx7THPJUkKHLrVcMb1rDWFBUhGgUWHf9a+PJj76TRn1Ktni16ENhQHu4GbeqOJsJWriJneoip8HN0T7Gs54pYGH8HV7FljLMmF7do7wFfPbOQxv2hyG867xYni7zfFvoFSlAa3fBOoN1n+gvS8weruUxjSSgtMsyIpFO9e040eSMKSauGbjgJEbJDHX5m3AonRGRhXn1sIfwgzDlARudjACbnYwDE1eoC5EGtJOkxpITFBBvcajrCJBRemxqZmIT80WHaLkiedm++zmqJYWoXFpIhpEDSTUoECeeD469W40qcLURK6tiaNtGiJfWs0MBslRARFXgGW9881oqcPWuyVkg5cDtnnD3NMTpO7R5HDA3A6wcs0/ZqSlzAb/EDFrlixNIhLTMe/wXbzRqZpoENH6yFEqV1MTR+lWqid7HL+6IsjIljq415wtfGrBlqlt0KRAJzTDMEwSNzswzxISANTR+KxMcZ8mT7PA/1ni5WiJ4mJWrhoRU8T2U0dhInV3Uvr05B/a3TIanaUr1CzspdsTpFLpj4thC0+LkWbU5PFBt5rCr5AadAKjkvH78CaScC3o86YxCi4FyNx4Sseq2B8QieQMFaq5WgtxRxMy+jTwEJ3dDMMwTwpH5IyAI3LPBrIfiUjMwPE7MSJS1Laas6ivK5Xh6c8QGmpPUFSSiE7OQFpWjnZ+KIkLmmLgamMKSzOluO6kDBUslXI4G2lFQUPtaTatRnBS8wKlC70dLIWo1pwHWZEEhCehhpsN6njaas+JiEvNQnhiOk7ciYWlqQJtqzoJMWf0KLSsNKhTIqGKvYec0EuQO1WB0rM+1BaOkFsZEcnKSgPuHgQ2jJKM7jTYeQNjdpRKMwOt7dITwfjtQKC2aYW8AWmJyCevTbWi6zv1yEyWjH+Djkhjpvw6SnYmVsaPZEuNi0BuQgjUQUehNreDSZX2yLV0g42dXUkukWGY5xSOyDEVChoP9f3em9iYV4Cv4YNuNYRRsCb9V94h8TRu2VmhS5aNayGEw6dbrwmrifWTW4tRWdRosOhoEJaMbSY86I7cjsa76y/h63710L2Om0ExRyLuzTUXEJ6UgTWvt4K1mQI/7L2J3VcjxGvUcrcRVirDF50WaVUNlCJeN6k1arrbiP2ztl8Tj9FApYw0dmpAk0qGxXNWKtRxQZCtHwllfDC09zazAYasgtqjAWSG0pIZicDG0ZKIo2kNnT4B1g6XZnFumwoMXf1YQqkw6H1DtZpJ6dliIodmBu3cEU2MF3F0npfXAns/1hecdfoDvX4wzoMtOQJWu98E7vyXv08mByj6WLvv49mcMAzD6MB1tky54My9uEdEHPHTv7cRVIy/W3mCgtsU4boXnYrbkSkYs/Qs3t9wWUxUIOuJiw/iRS0hGcJSNG38Mn98u+cmpq+/JCYwbD4fWuSwe11oLunVsESExqdjxKLT+HjzVaz3D0VypgrHAqMRlZyBaasv6Ik4Ij4tGxNXnBO1cAcCIvVEnHT+wKzt1xESV/jMW11y0hKAvR9JKUgSI1TTRhMTqnSEbMtEqKmuTdeQNy5Iuunup3o3ehxNFqCvvu2AsbsA5xpAv3klFnEasnJy0L2KUkzgIMjqpJo1zXbNa3jIg9aF3mtUW0h1nlriHwB7PtIXccSNrcDtfYZPgOahXdmgL+IIdS6w7Q0gibtWGYZ5cljIMWUODU2ff+RukceXnQg22lS4LKHuXIqwLc+LxAVGpuBooDQ54f/61RMjtKiGcMmY5qjqYiXE3PpzIUIfkBkvGfQaU2NY3dUa615vBXOlXIg5EorEe11rYGhzb2GmqzsuTRcSadSQQqO4imLt2QdClBZHTmYqZFU7AzV6Age+AjaOAXa8DVi7iZmlqsQIqZkh/AqwZgjweyPptmG0ZORLz09TFap2AYaukmriaOwXzSaliQ2l5BEXk5wOWcQ1NL08C6uH+uLVhh5YN9gDNY69DVXsfdHUQh2th25GiTFznX46jE4/H8ZnW6+J6R1ChJ1fWvQLnPxNmlJQHKmRwOk/iz5OnnUMwzBPCAs5pszJFvMnCxnknUdUSqa4jy4U2SqP0DQESl1WcbbWM+jtWscNNhZSApIG0w9p5q33ONFRaWVcLaCJQi7q7Ug0avfJZRjc1EukEjNU+Sa/hUH1elT4XxTUGKA7aaEwhKUMjXvaPytfyGSlAucWA1fWQa40BRJCgCXdgNBz+Q+kGjPal3Bf2iYxZyWNetI2QDzpgHkShwUEqCOS4bxpAJSBu9HkwseY080efruGAfcOw3X3eNjnJuHigwSMW3YOwbFS5yxFRbdcfIhxS88iMS29+IhZWqzkOVccJAapK7a40V4MwzBPCAs5psyhurE2RRjYEp1quohifCrmvxWRhG923cAbay6IVKSmsaC8QI0NM7dc1YuIUcrztb/PiHOl4nuK/szee1Pvce+uvywmK6RlGp6qIKYy7AnAueB47T4SXoMXnMKDuDQx0L3gsHsNVORPxsYt/Ipe76613QxO41DQE536q/CDt/dBoTQDTvwujdkqrOaMUo25xQtOo0mJBu6flKYzbHkduHsYSJGilHJTS+T2+kn6PugI5H80lmZ8Ki2R+8ocJMus8dXOG4VfRmQKguOygJq9i35tnzaAmYEGKFMrwKd10cdpFBjDMMwTwkKOKXMsTE0wpUNVbQ2TLlSg37OehxgltfNKGLrPOYZFx4JEnRlNIej/1wncjy0fNXSUjgyISNamOv+vbz2smiClWUkUbLv0UAguEg6adOrRDztp06xf/HMdKVmGxQ2l/Dael6I4ZOi79Y022jTr8hNBIgL4ervCU5PUOOJibYZ3X64uongFoS7httUM16bJqHMzs5gJEPHBQNSVoo/f2S9F8EoKRQP3zACW9gSurAWubgRW9gW2TJa84MysIa/dR2qk0GXEBsg9GiEhMxd3olKKfPr/AiKBqp2klHFBFErpeQ01KpB1StevpOaGgpC5caWmRl8uwzBMQbhrlSkXkFEtGaN+sf266PCkzB1F4j7rXUdYbJBY+2TL1UceF5mUiW92BeCXoQ1hbVa2NiWUbmzsbY9v+9cTQu3Vhp4wU8pFzdx/NyIxtJm3MKRdNbElftp3C/97ta7weqOaObruWX3qwNUI+xHyIftrRBMhQGjIvbWZiehGXXUqGFM7VoO9lSnGv+SH5n6OyMlVI1OVK4Qe1EADb3th0lzFRY5NU1vj823XcfVhoojUda3jjk961RKTHwiqHcvIzoVL3oi1LFWO8EGja8gxsSz2w4MsSGQUiSqCXGt3yEkIlZTwS8D1rY/uv3cIuHcEaDhUis5dXKV//NhPQP8FUMhsYWWqQGoRAtrdzgKw9wbG7wX+/Ry4tVtqUvBsAvT+CXCqZtx5utaWav92vQ9EXgPkJkCdvkCXWYBdpSe5coZhGAH7yBkB+8g9Oyj1mJieDblMJmaCamwwyJn/w02FR3hIhByZ0ancmPgmZWRDpoa2Jo4EUGpmjqiN0+2Q1DXgpU5TY0ScBuqqpAYQjS2LKidXvK6jlZnWq+6HvbdEFJDEHK1Rr/oeQhi72+W/DtUmkmCj9Xa0UsIqTwzTvh2Xw7D3egR+GtRQ/Cz8g+Px5Y7rWDq2BSxzk2G7cyIUVPNWECtnJI0+gJywK3D457VCzz926A5YVm0LC1Mj7D+KgiJ660dJXnSF4dUCGLxUitblpVPRaIRUx0dU7Yzcfgvw3dEYEeUtCEUsD7zfQev/J7zkqANXnQOY2T1ZVy2lgbOSAZkCsHQGzIoWuwzDvNgkGak9OLXKlCtImNAvThJlul5mqZkqkRJ8uUb+KCNKxfZv4CqsO0isPCtU2fqNAtlZGXrbtuZKrYjTNEDoijjike3H9MmzNDXR89ajBgiNiCMR9u3uAGy+EKpdF/qy80o4Pt12VYhlzXnbWyjF+dpaKGGmoLI1KTIVk5KFT7Zew9HbMfhg02UcvhUt7FQoRfz1zuuIyDLD/TbfAY5V9E/M3A4RfVbhWpIlLqqrIbXRo0Pvk1p/iOMJjlBRE0BJoCYDndFej5BBVicyoN5AScSRyXDHmcCAhVKas9l4yM2sRKNJi8r6nneUDp8/qmn+CC+NR56Dr3TNT2qNYu0iPZ6eh0UcwzClAKdWmQoBNUN0cE2DQ8od/Gjphs3X4rF2eGVUTz6LLlWaiYaJZ0FGUgwUd/5Fll8HmDpUQmZaMmT3TyDbpQaUzgVETRFQtOx4YDS61HYTYoyaFyj1+nJtMgMu+ZzT2JQsbL8cVuixAwFRwtPOQp0J2f3jyHKuic/3x6O+hzXG+SVCrTQH3OvCxdoUPw9uKOoQSczRjajhZo0v+tQVqe9x62LxafvlqKqIgHnMNWTb+iLSsgZm/huHuSOssOlePAJMh6PPsFGwDj+JXJkJUj1aY/X1DHjbWpd8YoeJpdQo8OB04cdr9ADM7YEWU4DGo4Dzy0S3Kpq/Drx9CbBwgEphgejkJLzSwANj21YWUzDsLJTwc7YSKeeG3nZixBbDMEx5hYUcUyGoZhoPxe6RQEIw3u8xH6+3agmvA29AGXISPdp9CBP5VAqZPHURJ/NfAuXRb6DyagnVkBXA/TMw3TJGjJXKfm0HlE6Vi30OSqnSVAbqOKWGgzFtKuPHfbew7lwIetePxpev1tPWpD0pZBhcXMGEOjMViDgF0y1jATsf/DhiG2Sp0TBd3ReQK5E9ZjesPeujW1039A+shK2X8u03VoxvKVKzZP8yvWt1vLbqgki7VrJvLgRkRNIDTGpXBc7Wphje3Bv9/jqBX49no5prAxEdvBsdKsaEbehcSPPA40LROPeGgL2PlDrVhSxNqr0spTFv7QSO/KDtZBV+dzQGbMAipLo2xeYLD7HsZDCqu1lj9cSWwlR5wnJ/UXtIdY4uNiU/VYZhmKcFCzmmQqAwMYXathJk8UFw2jsFTjaekr+XTAaFay1A8fRHeMlMzACXmuI1TULPAIs7wyQ5THiXqaw9oJYbjjCRbUcVZysh5H7dH4gN/qGS8ayIdtkU2kn6uFibFv/fWmFqBth4ACbmws/NYnlXIDMFUGUA9q5QK61EXd/V0ETsvKof2ftw82VRM0f1fS9Vc8amKa2FlcqNsCQh0H7v3QhtqzqLaBvdtrzRFouO3sX2y+Hi2ie+5CfEq+7M12Kh9GtGvJQaVeY9hgSZwkzavr0X6P0LcGsPcGOb1IhQsxdQf5BkcdKOmgtuACM3SWbE8UFAlU7SaK1D38Gux2y81bmaEG1DmnuLOsWutd3xbf9cNPS2R2VNfRzDMEw5hZsdjICbHcoJSeHAxrFAiE4qbeBiabrAM5pVSalUss4wo2hWHirPpsgdvFKkWo2BUqlSDVt+pOvtLtUwvq1fqcyUpRq4qavO49S9uEeONfCyEx2vq07dxfQ6aTBf1RvIyfOus62EtJHbseR6LnrW90SPOUeFOS6lU/s3qoTv990Sd+vbyFN03GrOlV6P7GGUcnmhqeFMVY6Y3kE4WZtCSRMcjBVxUdeAZX2A/vMlAZYSASzvAzSfADQZK81lXdhRSqNSBE6ukNKnAdulLlGqhQs+AZz6Qxr7dX2bZCeyYzrQ90/AtQ7gXE14FJKY05CSkS3qEOWlIKwZhmGeBG52YJhnxOP+qqf6sl41bUQnqaZpo52vkREqDapsIKuA/xl1VeY1jMwe2AANvfInPxB1PGzFGDBlIX59utCAeWqCGNe2shBxy8a1wOg2lUXNnJOVKd7qXF1PcNojFR6yeDjLEgt9PjMThbDxoFuhIi7vvPO3864rPQ7Y97nUtLBuhFTjRiKO0qiHZ0tdqw5+wkZEdK7unA5sfwu4uRPoMRtwrin5vx37WfKb2zpFajTYOlnywCMLEoqyUhRTR8SJbXMliziGYSoEHJEzAo7IlZNo3OaJwP3jkhLSSa2KYe3Vuz/1qBxF4+T3DkK5eYw0Csq2EpCXWs31agXVwCUGo3JxqZlixqft9RU47jxMWF/80N0N9e8vQ3zDyTB18Hqko7VQERd2AUgKzb/u6NuSgGk6FhHZFlhx6r4o2q/qao3EtGzRlRoSl4bQ+DRMbe8L2/jrMKOaOJq8QCOxtKlVX2SN3AZTlyoiikZGxZrOTYpSkScd+chJC5IMRFwD9n8JRF4F7LyA9h8CVToaP2Yr+pY0eL7xa4ClgzTW6+wCoA3NbXUFksKAdaOAsPP5j6GU6pidgEcjaaSXKlNKt9JjKbVKvm8k4Oh+NP4q8ro08YEmSmhwrgH0+hFwqQPYuBp3rgzDMOVQe3CNHFMxyM3WF26V2wEbx0nCjsQApd2eMuqcTCDmtlQTV6klHnSdD9voC3DePRHylDDIaPaoAWxz4mGybSgQdw8d6kag85TvkbthLEzuH4Xzw3PIHboWgIFGgOgAYEUfScBQatmzMbCspzTPU50Ly/rjcCM8SViGDGvmjfe61cDCI/ew+EQQWvk5QkFrmRyuFW7pec0O5mv6Aunx0tSGQixSKEplrZv2vHsI2KDjE0c/h80TgDZvSYLO3MAfPSS8yOON5pWSKGw+EVg9CIi+CSQ+lISWrScwYD4wt3n+4+h+lBIlEUdQVI0aHuhWEAtHSdC1nAIc+T5/f7f/k46xiGMYpoLDETkj4Ihc+UAVGwxZ1A0oqrQXUShVQhjkQYegrtEDiif19XoMKJp29Eogusgv4q5NMwxfex+v1LbDzDqxSLTyQ6a1N2p5GHh/pCcg138Z5Adm5YsQEmSkjQYshpzsNAxFFmn01JZJ0gB6gho9SESS1ca43Yg090Ncmgr+wXGo7WGLQfNPiW5Mmo7R1NdB1H65muUI+5Fc55r4QMd+RKY0h8K9LuSG6tgSw4BFHaSUZUFIbL95HnCqWvxzpEYDB78Bzi/VXwua+DBqC+DdShLvK17V70qlurdha6TIn6YBoihUWVJN5aoB+bWABEX7xu6SInMMwzDlEK6RY54rYpIz8dWxFLx3wRm3E9TC9HbplQx8eKsm/COl6QlPGxpPNf2f+/jsTk0h4qjAf+OVOLx/3gFDN4Tj8O1ow09iYQ95s7FQt58hbeeJOHWfP4wTcYSNu7DOENYbBIk4GvlEY6Rc6yAqOQv9/zwh5rqSiCNGLj4jxm3RdnRyJsysbCCr1gmmzn74um99DG9VBXKvxsaJOII6SQsTceJi1FLk0hBkEdL5M8mwV2ctMGKTJOIoSrdtav5UBhJ3nk2l9ClNdEgnw18DUC3cmqGSiKOaudHbJcFL505drBTFZBiGqcCwkGPKFdQBSZEjqucisaaBRFNUQjLa+Zhh2IJT+GrHDaw5+wDdq1mJUVLUdfi0UZDViVyGf65Gi/PRcCgwAVHJmY8UzBeJKgOykLN6uyg6JurVjIXqvZIf6k85oFqwrFQx5aG2hw1aVXFCJQepvo0MfltVcUT9SnbaZgelqbko6KcUKtXQmZgojRNxBAlHSyep0UAzUJ4ig31+A9zqAcXMWdWDrpnq7HS5f0JqZKAoa7+/pHmmVBPn1xEYtgqo1BwYtNRw6pYwtZaid651gVGbAb/2Imopmh4GLTO+lo9hGKacwqlVI+DU6tMnW5WL25HJ+Hz7NVy4nyCycx1ruODzV+qgiou1iDqpHvgj++JaHPWahB+OxWJ5H3t4nPsOub1+gdJI64+SQGPCaN7rrqvhjxyj8z34Xgf40bk+TlrUt60kXIgGQ6XaLUr7FUdMILC0hxRNougSNRnQIHZi0BKk+HRGaKoC3+25iU9718aMjZfx4+CGmL37Jt7vXgPutub5DQtPSmosEHUDOPEr0OoNyc6j29fA1Y2i4UKIOapvKw5qRFg1UKqJo3Qq1fppBC7V2LWaClg65l+npiaO5pWaWj6GWMyQjIEpAkjQRx7V5bGIYximHMPNDkyF4kFcGgbMOym6IjW/aw/disalkJPY9dZL8JTFwGR1P5ioMtFOlYmmA9+C84a+4heyYo9a8gijCNFThIbUkyXHxQfxCEvUn686o1tNmCiMsKugYemUGiUGLAaqvwycXwHs/0LqgqVIlyEo8mVmC+SopOgSCZLNr0uC0NIJKigxccVZMb+VpkgsGt0Mb665KB46fuk57HqnHUqOGtg3E4i4CsTeBYYsB/6bBQQfA4KPA2/6G/EUuWJMlhBxFNmj6yL/NzLypTXSrEVBwUXzSh8HGjtGN13VzSKOYZjnBI7IGQFH5J4u6VkqfPHPdWw8H1ro8U961cKYxnbAuaUwO/p/+gctHJA9eheU7nWkX9BPmaDoFNyJSsGD+DT4B8fD0coUnWq5IjM7B22rORtn6EsRpbh7gFtdqSYuPV6KSlENF0WgjCH+vjSiyqWWdN0U6aPGALd6SFHJkRQXBcuU+1h8U4m5J6Mwrpkz3m6Qgwxrb1jau8GupMbDJCLJAoUaEQqmhPvNB2q/Ig2ZL46Hl4CkEKnJ4fQ84N4hoOcP0vgsmp9Knaa2HiU7T4ZhmAoKNzswFQZqIjh5N7bI4xSZi82xxE6z3sioN1zvWMzgrfjyVA7i0nQ6Ep8ilDql29qzIaJe7mF8OnZfCUe76i7GT2WgiJJPy/zGBopK+bQ2XsQRDr6Aa+188UoRrEpNhSiyzkmC+7UFsF/TExPs/LF8eA286XkLDmt6wu38L7BTJ6HEUJrTswkwfL3+/k6fAnVeNSziCPKGI2/A/f+TDH3pb8o9HwJHfwBOzHnU8JhhGIZ5BE6tMmWOUiGHq40ZZnSvKSwzVp2RrCZo29REjmuhiXC0NMUrVWQwO/Gv3mNtzs/H513/B3NDJro6RCZlID5N8nyj9KPG8FZ3skFsahbSslSwNVfC1dZMTCfQjNf6+/g9EZWjG0FD46ckVYWNuQlkMpmwKaF5DxSt0xjpUseoZnwV1QMmZWTr1anFpWbBwVIpHl9i1DlSupOu79DHaFe5A+TBUk2eLD5YaowoDdJigONz9PddWg00GKKtX6OAf1RSplhvujRab5rTKqAmCfKy09T3SQ8AHl6Q0qqUciWhn5oK66wYyKjBQ2mBNKUjYGEnbFQqEvTesTRVwCLvvKkTW6mQlTw6yjDMCw2nVo2AU6tPn4DwJDF/tE1VJzxMyICXvYWYQpCZk4s3OlSFn0kMsKizVKROESyaaHBlnfTgJmOALrOkLsdiIIuSiw8S8P7GywiNl9KBlewt8OOgBmji6wBzpQIP49Pw6bZrwkxXMz5r/Et+mNDWDwo5xKB7mppA9GvsiSO3ohGfli3E3D/T2sLOXIk/D98Rfrlvdq4mflHvux6Jfy4/FMPmSchcDk3AJ1uv4u8xzeHtaIm7USl4fYU//hrVBDXdbEos5sIT0xERFoLa/l/A/O6e/Ov37YRbrb+Hs4cPPOwecyRYQcTIq6nA3f3SNs09vbpeSrM6VAbG7UW6hSvOBcXho81XEJ5XU+jjaIlfhjREA287mNJkir9aFt6tW38I0GcOUlKSIDu/FFZn/5BSyZTVrdweGT3nQObgW2HEHP1Mpq2+gDc6VkPbak5IzcrBNzsDUNPDBsNbeMPOgsUcwzD6cGqVqTBkZOfg4M0oHAuMwfd7b8HFxkw0P1BkbqN/KG5FJkNtYglU6SyJOCrw7/UD0OULKWpTf5BR/msP4tIx6u8zWhFHPExIx+glZ8Xrkb/apJXntSKOoOaLeYfvYuXpYJgr5XilgQdMFXJM71IdX71aDxsmtxaRtNZVnISouBiSgEXHgvD3iSD8cTAQO66EC+F49HYMVp95gORMFcYvO4fbkSniXEjoDF14CvdiUoWY00QKRQ2aLgW3i4GG12fLzZDm3V5vf7pXa6SpzYSNSomhiFuTUVJqt98CoPs3wOgdkkFv7b6icSE4JhXzDt4UKWjtuSlk+G7XdYTGpUtj1kZsAEz0I6JiasPLs5CsUkB2ZQOsTnyvFXGEIvgorDYOhSK1CB+7cgZFZP84cAcXHiRg0kp/7A+Iwv/tvIGtlx5i9p6bCI7JvzaGYZjHhSNyRsARuadPVHIGZm6+igM39X85j23ji7e7VIejlZkUBRKD0itLAiItHshMBGw8tMPPi+s4/d/261h9VmdCgA4jWnhjaAsf9J2bZwVSAEqJ/ftue5FmjUjMhK25ibYmjnzvSMSRAKX5pPOO3MHCo0F6j29fw1kvIkcGvZoOXcLWwkSIQhGRo7mnVPhfqYlkLUJGuaH+ki2Jc3XDi5mZjNyAnZBvmyJtk9jNm2qQ2/MnyBsOAcztUGLoZ6GJkFJNHInNxBDRUZtmYoeVxwMx0PUh0sxdMWJLDCyUcizvbQNFbgb2xLphZOsqUFIamObVhp6VxnJ5NZcmQlDNH9mTzH9JagYphNxx+yD3bYWKEpGbuuoCLoXomxh/3LMWR+QYhikUjsgxFQpXG3P8NLihSFFqIFHzzss1JBFHkJBx9Msv8Kch6yTqDIg4IjVLhUuhCcVG64KipRmjhZGWlYO0zByYKhQiPajb2ODrZCVEHEHmupQ+q+uZ/5/OxswEvw1tLGrDyIy3kbc9vny1rt7z/zkiL61K0wxubJNmmNJEAhoaT95qK/sCy3oBsXeM8k2Tn5orfU9RzPdvA7X7iE352fn5ExRKIypH8001jQ3UAEE/HysnZGVlYLDbQzhvHQqf7YOxdqCLEHGeWwfAbctAvOoajcysbMBEKTVu1B8MvDQdqNw2354lK00ScQUjiHnbcvKxqyBQKvvvMc1gohOdbFfdGcNb+LCIYximRLCQY8oF8amZWHjsHhJ0uk8ppbrveoTehIcnhdKilZ2KNpCl9KinfYEUnw70C9jcVGFUGu2/G5G4HpbfGUrpVEqzUrSOuB+bhp//vaX3uM+2XRNpXuGlpvGToyaAxV2AVf2liBoNeVeYaQvnqWlDQ2J6tkgNa7tiKWXZYjLQn/z1HIHevwCtpgGvbTNsOKyBom1ka6KBIoU6I61UObnimrJy8qdc0HnRGiiVplKkjkZrJUfAe8ur8NzSF8hIkASgmQ1MlfmivVAo5UqdsVNPAbV6512bKzB+H9DmbahJxOfVPlI95bngOJwNihVTQcgOpmDE90ZYIk7ciRFNKpqfxbMiJiUT/7czQIxN00DnQudM9jsMwzAVUsjNmzcPDRo0ECFDurVu3Rp79uQXZ3fs2FEUfuvepkzJSxfl8eDBA/Tu3RuWlpZwdXXFjBkzoFLpfzAePnwYTZo0gZmZGapVq4Zly5Y9s2tkDJORrcK2S2GiFo2gVFOnmpLp68ebr+L8/Xjk6vwCfBIslCaY3KFKkcfHtfUTjQcedoWLuX6NK8HZuvjICVUpUB3UjE1XxHa7as4Y1cpHfL/kRDDWnXsgfqEPW3gaMSlZIp36v1frioYKEndjlpxDbKYM8G0DjNgoPSlF5EjE0ZiqkZsAe28hlr7fe1OY/ZKYoy7bLRdC0f+vE6LWT2BXCejyeX50iwRQp5ni8UaLuJN/ACsHSCnOzFTg1m5gXmsxWYJE3JXQRHT48RAuPUhAdk4u7kWnoMdvx/DvjUioIcNDUz+ED9giibm0OGl2qoUDQvpuQay5r+hILvYUTB2hpmkRS3tKQo6aWsj4mSZjKM2R41gNaZkq8Xrdfj2KwfNPYciC03j5lyPYcvGhWBciKCYFwxeeQa/fj4uUNh1/b8MlRBQwdX5a0B8iC47cFTVxxBsdq4qoLL2lJ63wx52ooiPBDMMw5VrIeXl5Yfbs2Th//jz8/f3RuXNn9O3bF9evX9fe5/XXX0d4eLj29sMPP2iP5eTkCBGXlZWFkydPYvny5UKkffHFF9r7BAUFift06tQJly5dwvTp0zFx4kTs27fvmV8vUzjmShN0q+OO6m7WGNemsrAd+X5QA3Sp5YqXqjujjoetmAlaUvycrfDDoAZCOGmg77/pXw/VXa1F+mvNxJaY/nJ+HZqVqQLfD6yPD7rVNKpD0t3OXHQlUvftlA5V8HJtN4xo4YMqzlZ4qZqzaDT47JXaqOdpi61vtEXXOm7Y/mZb+DlZ4qu+daV5rTK5lKbUTSnK87cpckfmyeeC4/Hm6gtYeiII/9txQzRxLD8RlB/BLOjlZoy3mwZKaZKQi7oOrB4C+C8Btrwu1Ske+R45qXEiipiUocKoxWex6XwIhi48LaKCX26/jgxVLio728DGwky6Hg0yORytzUW3sCHMkQkc+UE6l+1vSSnYXe8DZKFy8g8xFzYkPg1vrb0oUt8aqPZw5parCIxKFpG4cUvP4W50yiPehLP3BIixa08bG3MlRrb0FX8kfNyjFiZ3qIp5o5oIMdevUSV4FBMJZhiGqXDNDo6Ojvjxxx8xYcIEEZFr1KgR5swp4FWVB0XvXnnlFYSFhcHNTRrcPX/+fHz00UeIjo6Gqamp+H7Xrl24di3fq2rYsGFISEjA3r17C33ezMxMcdMtOPT29uZmh6dMZGIGlCbkvyalD+mXME2C0vqOlQKUcqMB9xS5oje+r6Ol8HezUEppU+q03HElDL3qeQjBRPVwa848wMR2fkadB4koiq4Fx6bivfWXkZWTi5k9awkRR7+w6dqikzOEDcpvBwJFGrC6mw3e71oDtTxs4GgmA0JOA6sGSJE4iqRRNIu832h+6Yj1SLNwF7Ynb6y5IGzXNFBH7Zd96mr96koEzSd9cApYPUjfd65KR2mclo27sGp57e+zouNWAzWBrKemDVdryGMCgKW9pHQqNVfQ81CDBPnHUecxRRkNoKYGiHUjIAu/lL9TaYHc0duR49YIM/8JwKYiJoJQVJemgnT99Vihx6mb9uD7HUSN47OA3s/U8aypr6RoKp2Dc0nn3jIM81xS4ZodKLq2bt06pKamihSrhtWrV8PZ2Rn16tXDzJkzkZaW36p/6tQp1K9fXyviiO7du4uL10T16D4vv/yy3mvRfWh/UXz33Xdi8TQ3EnHM08fNThI6ug0QpSniCDOlQqRQaZwWiSv6XiPiqLOQ0p4//3sb6/0fiIaF6esvido9ivBQStOY6IuXgwUWHr0rRBwx9+AdVHKwENdGJsMbzoUKmxOqo6OIFqWORyw+gyO3Y5BLBf4xgZKIo/Fbrx+W0qwUkUsOF55rFBlsk3f+ujV8X/WtVzoijqDZpF7NgHoDHx2/lZeureRgiZ+HNNQ7/FaX6qhGIk6dDSRH5g2rdwYm7pdq22hGLAk7IU7169gKQ2ZXCbKBi/V3Nn8dcrd6SM+RiXQuQQHbqi7WIrKqsTsJjk1DambRr5GTq9aL5D1t6P2s2yRDRtQs4hiGKSll7qZ59epVIdwyMjJgbW2NrVu3ok6dOuLYiBEj4OvrC09PT1y5ckVE127duoUtW7aI4xEREXoijtBs07Hi7kNiLz09HRYWj6Z4SDC+9957j0TknleS07NFQT7VgJmaKETUiiYNWJubCGHyokDTG3rX9xAecGQfQsa/NJGBdMHwlj6wpLSnAaiI/u/jQbgSqt/s8MHGy/huQH2kZ+dizoHbhT6WUpIt32kHT/LFowiWd0up1s3SCRi5WZo76lxd1H5tvhAqfPc0UBH95JX+mDuiiRAIKUlxsMhNQ5apPSwsrZGRngZlZhzSZRawtiveOFnb2HBrD3ClwAiuVQOBkRuELcqdqGQhSHX5ce8tNKhkh8a+9jClWj86b7oG5xoQLskUiSOx6tEYkCsQlpAu6uu8HSwgl8tFtJJSo46WSliaKaU0KkUFdaGO3MrtYOnbFg287NDEzQSj6pnDOvIsoM5FqnsLbAtU4XaiAjYWRb9/Ka0uUtkMwzAVmDKPyNWsWVPUrp05cwZTp07FmDFjcOOGZCswadIkET2jqNvIkSOxYsUKIfTu3pWK4p8W1BShacDQ3J5nEbf9Shja/3BI1FylZ+XA/3482v1wCDsuh5VKx2hFgUZq0TSGoc0l0U4ijvhrZBMRwdNE7oqCqhTIEHjuIckiZFRLH9HMQJAJ7LqzIWI2a3ZO4dUM1HlKAlqIuNqv5jcmUHSschvApabYpFTmVzuk/yO967vj58ENRfkc/fyoOzY5KQ4mt3ZC8XsDyB+cRGZ6CuRh/lD80Rgm1zYgJbHoubZaUiKlmjjCryMwZIUUFaSaub0fIzM5VviiUU0c2ausGN9C1CBSFHLs0nNISlflnXdbScQRcjngWjdvJqxSiLhf/r2NV+eeQEBEsjBD/udSGDr9dBjn7scjJyUa2DpFEnNkNDxyI+DRSIg1rBsOk8wkTG/rirdtDqHy2vZwPvgBnA99CN+1HTEhdxP+r5sH7M2VqF+p8P+/1IiisY1hGIapqJS5kKM6Nuokbdq0qUhpNmzYEL/99luh923ZsqX4eueO9IvS3d0dkZGRevfRbNOx4u5D4qywaNyLBo3AWn4yWER0xiw5i5/23RRfaVsTkapoUO0RmfRK0Z7HS51lqHJwM1x/qDwJ2wwjUnDUVd3I2w6jW/vitVY+eLdbDQxoUgnf9q+HNlWcMKS5N8yUxf+XM1HkNTiYFOiQJVuSPCo7WeLdl6vjlfru+N+r9dCzvjv+GtFECJZpHavBXJ0N5flFInVptmEY5Ae/humagUBOFswv/g1zmRHinNKhZFlCIm7AAqB6D6lrlkRZ92+RJrfG//rWhbejBeYMayRSnF/2qSPSqrMH1M/vMtY5b62Yo0YOKsPLycXBW1FCwI5YdAazd9/E/+0KEEJ37ZkQxObaAH3/BByrSFMjyBNv+FrAszFA6VZzW9ilBsH25HePnL71hfmwi78GJxszzB/VVHi26U6XoJ8RNR3QWDaGYZiKTLlrdqDOVR8fn0ItQk6cOIGXXnoJly9fFrYlmmYH6mYl6xFi4cKFwoIkKipKRNYoHbt7926RwtVAKdu4uLgimx1etMkOJHjGLj0rxkZpqOlujaVjW8DTiO7C8gIJgpN3YvDtngCExKWLjtPRrStjbNvKIt1oiIjEdEzJc9+ndCp1FZKdCPF6Oz9M7VhVr4avKDS1dE559U8U1SRBTNEfWusevx2VIlYFIIG2YUprUUtliIS0LKhy1NqaOKq9o3ovTc1VVlwIFOtHQBEpWaEInKsja/hmmDr5wihoSD2ZB2t856gBIitFEnmASIPGJGfhvY2XEBCeLCKaC19rKjp3vRwsjZ6xS5YgIhKZB3Urf9WvXn5na2qsFKXME4CgSJ2ppdQNS1YkAdsLf3JK7Q5bB1jYITE9C7EpWWKNqCGD1q2izGllGObFJKkiNDtQLdrRo0cRHBwshBZtk+cbpVEpffr1118LaxI6vn37dowePRrt27cXIo7o1q2bqKd77bXXhLgjS5HPPvsM06ZNEyKOIN+5e/fu4cMPP8TNmzfx119/YcOGDXj33XfL8tLLFfTLf2qHqnr7pnaoVqEKsSkCRPNap66+IEQcQYPJ5x25i482XUFcquFGBblMJrzdSMQtGt0MS8Y2x4S2fuIYiTA6bgwk4DQijqA6Q00Kz1wpw9ev1hNRoYIjwL7oU0fMSTUGKprXbWwgUaL781JbOiOny5d6j8nq+IXYbzQknnTNgylVmifiCBK1FFUjEUeQGAuMTIaTlfGTCtxtzdGjnn4N6/SuNeBhq/Pes3LKF3Eaw2MyFVZlSQ0gRUFWKTnSz52mJ1RxsUa9SnbwcbJiEccwzHNDmX6aUdSMxBlF1Eh1kkAjMda1a1eEhIRg//79wnqEOlmp2WDgwIFCqGlQKBTYuXOnqK2jhgkrKytRY/fVV19p7+Pn5yfsR0i4UcqWvOsWL14sau+eB6gx4XZUCjyoA87GTAiawKgUEXXwMCKaRo+n1KHGxFbDjE2X4WpjhmaVHUQDRHknMjkD3+4KKPTY4dvRiEzKNBhNow5ZmocaEp+OOp62oiZuWudq6FrXDbXdbWBnaSoiYUExqUKA0PpmZqtwOzJVjBajDlhDmJtQNMhUCEVqVtDYjzSv7AAHCyWszEq+1qKxITEICtKEzScC5xYDjUbA1NwKOQlBSFdXFg0QYmpDVABwbROgtAYaDZdGbtEkCANQxyelUxPSs/FW52r44+Ad4YlHnay0PmTpYWWgkSA6KQP/XA7DmjMhevtHLT6DNa+3FGtODRBFYmoNVO0MhJ4r/HjldiL9WipQnR7Zp2gsU5LCJdNk6izWFZlFQaIz+qYkjDUmzdG3JLNkY02aGYZhKkJqtTxSXlOrGdk5OHMvFuOX+6NHXTdhP0GCZeiCU/BxssTi0c0MijmKovT87ah4HKVTF77WDJNW+uNWRIoQK7vfaSdSZuUdigR1/fVokcepIWBgU68SvQaJuKOB0Xhn3SX0beiJT3vXFp5x5KVWy90Gvw9vbJSYo4aStWfviwYISqOSqe2k9lWE71lpiObcxDDIT/wKnF0IdP0fcusPgezmbsh2vw80Ggl1p08ho7TkhtHSsHpdWr8FtHvPoJgjq5b150IwZ38gprSvgjFtKuNMUBze33hZpEZplqyhtDylmamxgbpUyTj5/W41tGnWVlUc8fswaT5tscQFAQvaA5lJj473mnJcpJNLRcQt7yOlmanrlqKBG8cB5G03ZqfUgFGcmCMRR2JzZT+gcntpbBqJQJqdSx3Jo7aymGMY5om1B+cXKjBZqlzhlUXRkV1XIxCelIHAiBRhd0Gmt/QL0hAk0lZPbIUv/rkmhtbTL1+qjSO7jK/71qsQIo6gcU+UEi1qkpeTgfFaxjZC0JxO+tOHRoqRYfC1h0lIz85BdEomVGSvYQRxaVlYey4EgTo1iTSdgWry3GxLLuTkChOoEx5AJG//mwX5vSPA3YPimDoxFDK5Ari68VERR5z6A6jbz6CQUyrkCM1LYc8/eg/XwhJx6l6ceC+SyDNmEAfNt6X09eozD4Qoppq41RNb4uudN0TDhFEegva+wIR9wK4ZwP3j0r5KTYDevwIOUlq8xJAVS3qCJBZpXJi1OxBxRZq0QSPUXGsXL+QovZvwQDSb4O5+YM0QSRzSxAoiO98bk2EY5nHhiFwFjsgRYs7mxVB8uV2yoyCoHmvD5Fbwc7Y2+nkoCqIr2gpul3eooeD9DZfF3M2CUNPDvnfbG12AXxyRielYeeaBMPnVQAJkxYQWwpDWGHd/ijqRiKM6uQFNvLDBP0SIQ4pC/TG8SelYYqREQr39bchu5zf0qP06QDZgobTxdzcg4X7hj200Enh1rtRhaqCp47vdN7HpQv5kBeqcpaiuMWl9ggbGU5OKu52FXtexMc0p+k8UL4ktsiYxt5fq6koLEuhku0JTKjSRPxJxg5cD1V6WInSGyEgGbu4Atk3N30dieewewLVW6Z0rwzDPDRyRe0EgQ9OWfvq/tKq5WMH2MY18C4q2iiTiNA0Fn79SR9QHUo2WrunrknHNRZq4NKBauI41XPSEHM2INdZYliJZfRtVgpksB/W8ndDAyx7tqzsjMiEF1hbmBu1JdKHB9SaiEE4iJycXCs220hqyGt0BHSEnq9YZUFpJ0xboVhQZeYLIQC8U1cC9XMdVT8i1quL0WI0EFqYmYk10cX6S956Fg3R7GpCgtXIBbD2psC8/dete3zgRR5jbAJWaSV58mpFnFE00oh6RYRimODgiV4EjctTYcDMiWdTEUTqVxjSR/xvRq747vnq1FEc2VaB5rTQgncZeUb1aU18HIeKUJiVv0KbGhqsPk0RNHKVTdde7byNPMRDdmEiUOv6BmGOa69ceClsP5CY8hCzoENR+HSG3N66Oj1K8FI2tX8lOXBvVm5GVBwkpK2RIUxm2TJTurCseXpkD1HkV6n2fQnZ5beHnN3g5ZJReNVCfefJuLF5f4S/SqbprMaNbTYxs5aM3jqooyCD5dmQyWvg5CmFIEctTd2PRvoYLHIx4/DOBGhs2jQcenJS2KTVN48UeY2asaCqhmjgaTab786jWFeg7N78BgmEYpiLZjzAlTyduPB8iRByl42gAOJmyEmTFQcX5L+K8VppDSjM/+zWuJMRcaYg4IiFNhVWn7wsRR/NUD33QUUyCIA4ERCEt2wjz4YQQyLZNgWzrJCgurABSYyA/Ohuyf6ZB/u9n4rgh7kalCPE+fNFpXA5NEDVp45adxYTl/uLnnkMjsI7/It3ZrwPwwW2gRi9p++TvyM3JQUard6Wuz4I4V0e6W1OD55CSqcL8w3eFiKvnaYszn3TBoLxmkhWng0X9plH+hcvOYvzyczh0K0qkaj/efFU0kyw9ESzGnZULqL4t9ExeOnUFMPmoNDOWpl/c/leqoSuOjCTg+lZJxFEEbuopoO9f0rGgI5JNCsMwzBPCqdUKDNlhvNmpGkwVcgxr4S38sajmioaGU6SmsrORaR9GSwqZ96py8411VTli8LqthVKIxA971BLfU5cmiUSa4EDp23bVnOFrTA0eiQGrPG+2w98CV9YBcfekbUrdyRRGNXbQBIlXGlYSJrcRSRn4sHst7LkaLlLiORYOkI3YANnxX4H2H0Jm6QR1nznAMW+oW09DjoUz7iUqYTd4N1z9f4bp3b3CBiOl7ghE1BoDM7kjDF0JrQ916dJIMBKz5Js3s2ct8fojWvgY1ahA71NHS1NRH/jW2ovwdrDEgzip8N/T3jx/ysWzIDVGSpea5Ynb5EhAoZSEl0dDYMQGIDMVqP4yYGIhReLuHAQaDst/TFGQBUrLydL3dQcALjUAGw/J0JjsXrhGjmGYEsCp1QqcWtWNzOkOt6dt8kDTrZ9ijBNxu69FYM5/t7F2Uit42FngwoN4TFl1HisntEQdD1shPihypGv4G5OcCXsLJUyMjfwlhgJ7Z+pPJGg5BWj7jiTmDJCtysX5B/GYtvoCYvOiVpTanNKhKsa28RVCk2a+3g2NQKMqXqjpYYM7Uam4EPgAXu6uaF7ZEQqZDFceJuDfi/fQydcUmTlq7L6nwhtdagkPuMdZM+sC7z3d92JxUGr4flwqvth2XZyvhg+710TPeu7iDxEae/bUiQkElr8iRo+hRg+paWLtMOn7VlMlMUdTLSidamaV3wBBUy4ex6eOInO6989MBkzMHh1jxjAMA06tvlAU/MVJ28+riEvN1B9tlVZguyRQavTL7dcRlpiB4QtPi27g1/4+g4S0bHy27ao2Va0r4giqQzRaxAlkUBcokldTVEdHtBS8LrpuSmMSYYnpYh6uRsQRVJ8299AdYQFCaU/q4P1kVzCG0HVceIghC05h5q5gvLfhshjnJZfLRJPB0nPRGLY+BGM2heL4vUQhVB8HXRFHGCvixDVlqRCdlIn+9ey1+8jIurW3BXZeCUP845QG5KikWja6kW+bsaTFAwe/kcyRN08AKN1NIo7sRY7/DKTH5U+10Ig4TQPE45oNF7y/mQ2LOIZhSszz+dueeS65E5WMrRcfCrsKTaH8gqN3EZM327SkOFmZYd2kVmJcFok5qteiAe5VXa3EUPqCAu6JSHwI9ZHZ+Y0GeUXusqM/QX1+hRAiJGBWnbmP4LzuWxJxVEN2IyxJiLl91yOK9Aics/+2aIJZNaEl3GzNhKijqR20ZjQ6a+3rLcW4quthiRi28DSycnJFJy6l58kXj6YqhMY/G18zGkdW3yIa/WRH8GlnD/g5W2H9cB/Uvvc3Btc2h5mx5sgU4Tw8G1jUCVjYAdj/JRBfhLVKQSwdgJ6zAd+XIHK8ez+WRBw1NIzYBNiWzESaYRjmacNCjqkQUO3UkAWn8dm2a8J3jbzGqFD+twN38PO/t4yapWoIikbVdLfBGx31587ShAEaPVUa5JKtR8Q18b261TSop5yAum5/6WDoOeTkqrDiZDC+3X1TNDPQCC9qpHhzzUUMXXgKMckZuJE327SodcrIzoWvkyW+6V9f79jnfeoIb8FMVY6YSEHp2Ep25vhnWlsxEovSwyT4KOX5LLDPjoDLpv6wPTgTo5UH8e/rtVDz4ESYn/wZTie+hklGXjTMkIijqQvHfpTmrlIDwuk/gSXkk/fAuBMhMT1wkf6++oMB7+ZSJI5hGKYcwzVyz0GN3IsA1aGR4z/N5iQoapaWlSNMdVeMbyFsRko63ooaGy48SMDov8+KSJUGTztzUTP3OLVjRUHpWau0MJjc3YdAp04YtOoe9k+sDpcHe5FVsw8yLT2EyCLRRtdHtY7UJUu0qeqEucMbizo+ErSFUdvDBmsmtkRUcpZIp2qilwR53a2f3Aq13W2FfQilaKlRw9vRStTdkQiklKuPo+Vjp1ifhJzkKMj2fwn55dXSDko3Z6UKe46c4RugqNzWsJDyXwrsnF74sY6fAO0+oKHMxT9H4sP8dKoGSnMPXAJU72a4mYFhGOYpwDVyzHMF1aFRRIlmchIkcggaJ1YaIo5IylCJ2jMScdVcrcX4KE2a9Y3VF0ol6kfeaqmWnrjq+iq6LQ5EUkYO2vx1E0GVhyDbykM0KtTxtMWGya2FltCIOBrfNWdoIzham6FDDZciDYipe5Vq8MYuPatNpy4f31ybZiUPPNofnpghUqsU0aTmDRoxNm3NBczYeBnRyaWTqjZEjNoWJ/zeQlaNV6UdJOKoYaL/Kvwa6Iz4LAMfTxmJUtdvUVzblF/jVtxEiD0f5qdTBy0DKreT0qybx0sRPoZhmHIMCzmmVMjOSENGUox2W52bi8zk/O3SIDObZsvmT20gyAQ3Pdu4GaeGoFFec0c0QQ03aywf11wIJqqZI884IaKsSsdcmYTinoBYrBrshR2jvDC/XyXsCojX1r1RtIxMjXVj5RGJGVrxSiPBKLJGNWUaSNh9068eGvvYw8bcBPNHNRXnTffrUMMV6ya1FpG2Ba81FSnVo4HRmN7WBQ9jk8ScXfKh6+BrhlqOcuFL9yygc27gbg6ThLt6+9URl/F6Kw84GJrwQMa6ZAVSFEoLSZwVB02DoG5Vp6pSTVzNnlKalcRcjx8AK+fHuSSGYZhnDqdWjYBTq4ZFnPrBKajvn4a65WSYWTtCFXEdOPUn1F1mwdTeo8SvQY0NVBOnmVFaw80G18OkcUk0cH1wMy/YW5S8A5Bmf5Jg0jQ2UHMBRbBKa2RZVFIGQkMfoGr4TtidnwukxQK2lRDXcgYC7drC19sHZ4JihSkuQaIyND5dnJOHnbkQlpoUL01BoJm41JBBfmyutmbacVc0vosijPrzczNhbW4CU4UCWUlRkB37BXGVe+GdYzI08zTHBPvzsLJzgqxGDygtbPC0UVN925qhkEVek0SZWz0gXLru3M5fQN5snOERVrf2AmuHFn6s3zyg0QjjfeTIIFmTyiWTXrIGMbd7rGtiGIYpLXjWKvPMkCXch3LdEDF2KEOtQk79QVCueEXM7FQplMjq8iVMbUo2xJz0ibmJXIi45eNboJa7rbAK2X45TESgyBetNKDZn3TLf11Zqc6dtUQa6gb+BbOLS/N3Jj2E43/T0bDjLGT4ToKVqQmoRI3Gbf02rLGIxlHNHBkBy3Wu09XGXNwKg+xnHp2fmxdRzEyF6YWlwLl5cLu4FL8P2AhltD8cDn4s1YaN3Q34tsHThgKpcoUFTOQmSBq4FmbejZG771NYXF+PNJkl5CpaLwNUagLU7A3c2qW/37ctULWT8SdTMPJmnWfazDAMU87hiJwRcESueDITo4BD38Ds0jL9A1YuyB69C0q3mqXyOhGJ6aK2q66nraiJowaI21HJYorF4/iXlSmx94C5TaQarIIoLYFpZ5Bu6YlrD5Pg42QJN1tzERW8GZ4k6udomkRpkB0bBOWq/kB8kP7+6r2g7v1LqURRjWn8yIp/CEVSKD49o8C+W/GY398HrawikeFSHy7OrqL5wiAUPYu+CfgvkUx7m4yWBtrz/FKGYV4A7cFCzghYyBkmOzkW8q2vQ3HvgHZfzpsXoHDWt/J44Qk6KtllFMWkI4Bno6d6CmQIvPREEAZWk8F9RTsgO883zr0BLnVcggylI1pVLVkE1VjI6mTl6fv4cd8tsU0Bwf+mt0cVF2vjRJwuNIiePs0UnGhgGKbiw12rzDODGhuQHAZFmL/eftX5VXoNEM8CqgMjQ1wN1JGZacww+2dFYYPqdTHStywpPUtcmwZqkNDdLg5LUxOMbeoEmwcH80UcEXMbNZTRaOBhvM0K1ejpQueQlZPzWI9fcSpYu01/Vs4/ehdxjzPVQQPV2bGIYxjmBYOFHFNicqIDoVzRW7KDsHKBqnpPsd/s1C+QnVuE9KTYZ3Ie92NTMWLRGdyKTBZijlKxNCf1bHBcuRFzudZu0sD0wnBvAFg6GxXF2nThIX7Ye1MIJxJxZ+7FCvsQMko2SGYKrO7sgtV/M6Rtv46AQ2VAlQHLtf1hGR9g1LXci07BsIWnEBgpGRSHJaRjwvJzuPQgwSgxRxMkqPYvMilTdLC+0kBal03n86+NYRiGKR4WckyJyTWzgcq1vrYmLvfVuchsPA4wMYesSqdS7YDM0THq1d2myM7bay/iZkQyhi44hYsh8cL77VxwPCYs80dSxrOZVmAQE0vglTmAWYEwOQm8bl8jB4bTifdiUvHVjhtY7x8qBM/R29EYv9wfp+/F4Y+DgWKQfbGQ8S41CZjbA7Vekew2Rm8HHPygdqwKWLsYFfmcvPI8bkemCOPhiw/iMZFEXEgixiw5h+R0wzNwzU0UaFHZUYg46sb9tn99zOheUzR69KjnAasivPIYhmGYfLhGzgi4Rs4wWQlhkGenw8SlqrYBQpGVCNj7wkRZOl2fD+PTEBSTKgyAqbOUrDz878eLiQdktEsRoqELTgtzWw1Uc7VgVFO8VN1ZpBTLmuysDCDiOpSp4UBiCJBwH3CuCVg6IduxOhQuNSA3MImAmgSWnwzGr/sD9fbX87TFotHN4GFfjLdaHhnZKsjigqA2tYa5g4doqMiODYZMroCpozdkBrqA6WMjMEoScQlp2XpdvkvHNkdLP0eYKQ2bNFPDSnJmNnwdrURNHF1bfFq2sFoxN+LxDMMwzytcI8c8U0ztPbUijjCzc4WJS/VSFXGjl5wVt+N3YkXajYbBU9Rt3dkQIQCoQH7FhBZ6j5vWsSraV3cpFyKOUJqaQ+ZRH1lJkcCZBUDYReDoj8hWWBgl4ggSrWPb+KFttfyGBDL5JVsWY0QcTYs4cScWHf6+jz5LbwuPvhvhSei8+B46LwoUAs0QJPSqu1rj7zHN9PZ/2L0mWlUxTsRpJnbQ/FdNYwNdGxkds4hjGIYxDhZyZUx0cgZidCJI8alZwuiV0UchlwuLEepjmLzSHwPnncSR29HimLONqYgERSVJs0PbVZfqzFyszcRIr4cJ6XoNECWF0rhkHKz7MyQhaSzq+PswPf6DZP3x4LTwkVP+NxM5ZJBrBFQTdykkXqRSNahy1aLz05i6MoUMwnsvLjVbiDZaS0pH0ygyylSb5pkKG4KsYD4vMPN1wdF7YmYrwzAM82xgIVeGkAD4bOs1/N/OACHm4tOy8PfxIExacV4U6jP5uNuZi7FTDbzshJgLjpXEwg+DGqB7XXdk5+TidlQqBs0/hcFNvTBvZBP8OrQh3lp3EfsDIhFhTBOAEdyNSkGPOUdFVJDSk1TgT/NL1+ZFBY0ZFK9c+QqQHCHq5FRd/gcoTIGYQCjXDoEqOcrgc5D4opo4SoeSp96Etn5i/7pzIVh07B6SDdTIkQdfIx97rJrYQghgWhuaHOFiYyZq1SrrjP4qChKMb6w+jxvhyeI5PupRC/aWSiFyh1B6m/8YYRiGeSawkCsjKEJ08UEC9t2IxLZLD0Xx+rzDdzH30B1cCknAjivhIvLC5EPZt4LD4u0slCKtSJWev/x7SwiJ9zdeRnKmCjO3XkVIXDp+3X9bbyLCk0LR0u/23ERUMhX6+2PzhYcYv+ycaLD4+d9bYiSWITLUSsS3nilEXOTALbjhMxLR/dcLM+C4l2YhDYbtRzxszdG9rpuoiVs8uhne6lIN73WtAVcbMwxt7m2UObJCJhfpZt2JGBTN1Iz4MgRF9D7uWRvmSrmoiRvftjI2TG4txNz0l6vDzIRTowzDMM8CbnYow2aHxLQsEUUhcaDLyJY+eK9bDTiV0pD25wFqbKCaOE061cnKFLGpWULcLXytmagXo+1xS8/p1XiROFnzeks09LIXY6tKCkVKp66+IES4BhKSy8Y1R/PKhmvD6L9bVEwsTHIz8Nq6u7gRnoIOVe3we/+qyJBZwM3J3qjzoCYBVW4u3O2kmjiKBmaqcsUkCENQJI9q4oYtOIXUrBzYWpggPStHzGyt4mwl6gy9HAxPkMhS5SA5Q9osXdQAACURSURBVCW6S6mmja4tJiVLrDlNoWAYhmGeHG52qADYWZqKCAoNRtdAEQ2yYGARpw+JlNt5fmU/DmqAvdPbo5G3vUizng2ORXp2rhAfc0c00Xvc5A5VUM/TrlREHEHCae5w/dcY1NQLjX0cjCrwpyYBZydHHAjJFSKOOHI3EdcSlUaLOE2TgEbEaZoEjBFxBHnqUYqYRJy7rTl2vPkSVk9sKWrjKM2aqNOFaihF62Rtpm1MoGuj9CyLOIZhmGcHR+TKMCJHqTqqiaN0qi79Gnnis1fqwNmaxZwuwTGpuPowER1ruoj0IQ2T33stHK82qiQGxFOR/cjFp0U6VYNSIcOK8S2EZQkJj5JCNXGadKoGigpS/R41WZAtiqa+USO0qP4xMzsXlRwspGhYWJIwwqW6NA0UYVw/uTWquRqY/FBKkNccRTfretqJmjgy8CUjXxJltI/q3hiGYZiygyNyFaBG7kxQrFbEjWjpgw+61RDfb7sUho3+IeVmGkF5gQRHtzpu2howaoAY0dJXiDiNITCJOErtLXitKaq7WYt0IRnUJqZnl4rw/nTbVSHiKJ36x/DGaOwjRQVpggSlFalzdsqqC+JGgo6aAr7dFSA6Q0mI0lSGkX+fFiKOvNKWjG0mUpsiLbzsrDDafRZYmytFR6+mscFUoRARThZxDMMwFYvyYa71AkK+Wc0qO2Jg40qwMFPg3a41YCKTiWLzw7eiMKCJl9FeXC8SBdfE1ET6W4TE3E+DG2D032dFepW6WymlSuLo7S7VtT5yJKSUJnJY5D0PNZSQYKY0tyEcrEzxZZ+6uBN1Bt/1ry9q4ppXdhA1cwObeMHOwgQB4cm4EpogxN2kledRyd4Ce65FiMcfC4xGv8aemDeyKT7ecgUrx7eEr5MlNk5ujbFLz+GvEU1hZ1E6vntPtpb8fmMYhqlocGq1jCc7UNE6NQ5SrZGmASIrJxcuNsbVOzH6UGTO1txEWxNHaU0SbVSQT1G5rRdD4e1giTbVnMUwLJpRepsmFDT1MkrMERRlo+5ZjRCKTs6EuYkcNhZKYbZ78k4MXl/hL8ScBrLnGN7CW9SyaZoEND9z+i9I0wyoA5ejYQzDMMzjaA+OyJUxVLSui7FigikciszpoqkzJJ85mkn65fYbUqfr6GYiPTohz4+NatT6NPQ0yn5DI8A0UIG/BhKNTXwc0NLPCafuxUrHrampxUuIuPwmgfzoFzUJFDxvhmEYhjEGrpFjXghIoDWr7KDtdJ243F+kM0nEkR9b66pORnuoFUdsaqaY+Tq1Y1Xh60Y+a1/3qy+Gy0clG2fyTBG7m+FJIlqr4W50CsITjDeJJjsSshihpgYiLVOFgPAkEbEk6LpvRyQjUscomWr4QuN5KgPDMExFgoUc88LgYWchmiA87fLT1iS2/h7bXBwrKZQipTTrO+sv4ZOtV7F4TDNsf/MlLDx6TwjHoJg0pGeqDIo48qh7de4JzNp+TaRxAyOTMWjeSUxc4W+UmCMRt/xkMHr9dgx7r0eIukDqUO31+zHMO3xHNG1cD0tEv79O4L31l8VIOBJxwxaexqjFZ1jMMQzDVCA4tcq8MFBjA0W6InUiXVRDR5Ym5H2maYAoCWQzEpuSJWrlpqw8L1LnV0ITRR1kXEqW5FVi4PHUFUt1kruuRiA6JUsIOaqhI9KM6GSmTt0LeYbFH2y8gq51IsWYMqqGvRyagExVDu7HponO2RN3Y8RIuPDEdEQmZcLKVCGEHxxKvBQMwzDMM4CbHcq42YF5NlCN3Nl7cRi99KxIK9Z2txGdw9fDkoS2WjK2OdpUcxI2HCVBlZMrhOGIRWeEmCNIxM0d3hidarlqu2eLg4TU5guh+N+OG9p9DpZKMQKrupuN0ZMwPth0GUdvx2j3tfBzwB/Dmwjj4NRMFf67EYnp6y9pj5OIIy+72h623HTBMAxTxrCPHMPoQPVvZMjrYm0mauKWjGsuUp9UM0cNEWQDYqyIIyFY1LZJ3ut42uenb61MTdDQ294oEUdQdLB9DRchADWQgHuchghrcxP0ru+pt697XQ9Ym0nXSF28ZJJMNXwaaDKGm62Znogr7loZhmGYsqdMhdy8efPQoEEDoTTp1rp1a+zZs0d7PCMjA9OmTYOTkxOsra0xcOBAREZG6j3HgwcP0Lt3b1haWsLV1RUzZsyASqVfh3T48GE0adIEZmZmqFatGpYtW/bMrpEpP5D57frJrbBoTDNRE0e3eaOaYOOU1vBzNm6iAkXLDt6MEhEvTbr2XHCctq6Mpk28ueYC7kanim0SYymZKlF/RpMnjEFTE0exco2YOxsUhy/+uabXAFEUaVkqHL4VLbzqNOdAfL3zhvC0S83IFjVxg+efQkZ2rvb4rchkTF93WXttIXFpOH8/XtTtEdQYQR6HyXkNFAzDMMwLLuS8vLwwe/ZsnD9/Hv7+/ujcuTP69u2L69evi+PvvvsuduzYgY0bN+LIkSMICwvDgAEDtI/PyckRIi4rKwsnT57E8uXLhUj74osvtPcJCgoS9+nUqRMuXbqE6dOnY+LEidi3b1+ZXDNTtvg6Wek1NtD3tM9YEbf14kPhEUdpS6qvI4E1cvEZYUQcmZSO4NhUnAuOF+LorxFNsO2NtqL2LjQ+HQcCIoXIKg7yult/LkTUxFE6df97HTCrTx1x7L8bUeI1DUG1bz//e1sIQUqn+n/6MjrUcBHH5uwPFHV21ARBc1UpnUqzVn8d2lAcP3UvBg8T0oWIo+uikWf+wfFSE8e6i8KuZeeVcCSxmGMYhikXlLsaOUdHR/z4448YNGgQXFxcsGbNGvE9cfPmTdSuXRunTp1Cq1atRPTulVdeEQLPzc1N3Gf+/Pn46KOPEB0dDVNTU/H9rl27cO3aNe1rDBs2DAkJCdi7d69R58Q1cgxBVh77rkfi/Y2XxXYVZyvcj0sT6cY6HjZYPKY57C2Vwq+OMpA0E5YG0VMd3ok7MWIMm8ZLrjioU3Xe4bsY2txbpFQ1ArKWu40YCWbMBIaH8Wn4df9tzOheS9TEUZTt5/9uY1qnqvBxtBKdqytOBaNzbTfU8bAVkUWqmbMxNxFmyWRTMm7pWWGbQvNqaUJFcGyaEKi/D2uMzrVcRXqWYRiGeToYqz3KjZCj6BpF3saMGYOLFy8iIiICXbp0QXx8POzt7bX38/X1FVE1itZR5G379u0i0qYbgatSpQouXLiAxo0bo3379iKtOmfOHO19li5dKp6DFqcwMjMzxU13Mb29vVnIMULM7b0WgQ82SWlLopa7NZaMbQFPeynSR40EJHg0NXHUAEFRMqp9MxaKzNGkBw0k5qie7XHGaNFjdF+zsG0SY5qauNQMFeQKmbZ7lyJzo5ecwd0oKU1M/D6sEbrUdmMRxzAM85SpMM0OV69eFfVvVL82ZcoUbN26FXXq1BFCjiJquiKOoMgbHSPoqyYSp3tcc6y4+9ACpacX7sn13XfficXT3EjEMYymmUF3kgNhb2EKE0V+gwCJHN3GBnrM44g4QlfEEfT4x52FWvA1C9vWbWywMjfRs2ChyRf2BR5DjSEUoWMYhmHKB2Uu5GrWrCkiamfOnMHUqVNFRO7GjXzbhbJg5syZQgFrbiEhIWV6Pkz5gNKPVBM3frm/2KYaNuJ0UBw+2JjfJPA8QI0N09ddxPn7CSK6SCljYszSs3oNEAzDMMwLLuQo6kadpE2bNhWRsIYNG+K3336Du7u7aGKgWjZdqGuVjhH0tWAXq2bb0H0oTGlhUbibP0UHNZ20mhvDkC/cqbsx2pq4vdPb4+fBUpNAQHiy1jfueSA9K0fUx2lq4va+0w413KyF2fCZoDiRKmYYhmHKnnJX6JKbmyvq00jYKZVKHDhwQNiOELdu3RJ2I2RTQtDXb775BlFRUcJ6hPjvv/+E8KL0rOY+u3fv1nsNuo/mORjGWBwsTTGpfVW42pqjR1130UTQva4bzEwao46nrdHdrxXJqiUwMkV42lG6eOm4FjhwIxJ9GnqKpo3M7BzRvWptZgILUxPk5qoRlZwpavmMaepgGIZhSgF1GfLxxx+rjxw5og4KClJfuXJFbMtkMvW///4rjk+ZMkXt4+OjPnjwoNrf31/dunVrcdOgUqnU9erVU3fr1k196dIl9d69e9UuLi7qmTNnau9z7949taWlpXrGjBnqgIAA9Z9//qlWKBTivsaSmJhIDSHiK8NkZKn0ttMLbD9PFLw2zbXT18O3otTVP9mt/vd6hLjf9YeJ6npf7FXPO3RHHZ+aWUZnzDAM83xgrPYo04gcRdJGjx6N8PBw0VRA5sDk79a1a1dx/Ndff4VcLhcROYrSde/eHX/99Zf28QqFAjt37hS1dRRhs7KyEjV2X331lfY+fn5+wn6EulwpZUvedYsXLxbPxZQeVDOVnp2rLdKnZmjqvHweIzNmBWaymj/BjNas5DiY2jjmb6fEwdTaUW/wPa2lLM+tNzE9SzQiPG7DQ0kpeG2aa0/OVOGPA4FiJuzklf54o2M1LD8ZLPb/fSIIA5pUeqbnyTAM86JSbuxHyjPsI2dYxNGQ9ov34zG8pY8QIIFRKVh+IhjvdqshOh2ZfLKjAiE79hNyu8yCqb0nsuNCoDjwBXI6fwmlk68w/f1tfyBGtfJBDTcbIYg3+Ieirqctmld2eOZirijCE9MxddUFXArJr2Oljt71k1qhiotxkzIYhmGYkmmPclcjx1Q8yCj2tb/PiEJ4Va4avep7YMiCU0hIywZkwIfda8LuOYzMPQk5yVFQrnwFSI5AdkoUcgfMg3zDSMgjLkMedQOq13bgz8PRWHn6Pv65/BCbprTBwYAozN57U9iB7HjrJTHUvjzgZmOOT3rVFj9rDePbVtb66TEMwzBPH47IGQFH5AxPIpi95yY2ng/V20/2HBsmtxbTCRiJjNQEyAJ2wGznm/oH5ApkDVkHWeW2eJCkFuIoNjVL7y79G1XCp71rw7mAj11ZQI0NNyOSMXTBKZFO1UC2dAtea4aXqjmJBgiGYRjmOTcEZio+TtZmmNmrNtpVd9bbv3lqGxZxBTC3sgfq9EVmpy/19mf2XQRUbguluRWqulqLtdMMsydaV3XC533Kh4jT1PBNX39RiDhKp+55px0aeduL0WQ0k5XtSRiGYZ4NLOSYEkNBXarruvpQf+TZrivh4hd+aUE+bRT9040KxaWU3vMTWTn6r0HEpRoeVP84yDMSYRKwRX/fpVVAhrR+tGY0Bkw3Vn49LFFYe5SXALqjtRkWjW6Ghl52oiaO0r3zRjURgnPNxJaPTKZgGIZhng4s5JgSExSTqq2Jo3RqhxpSZI6GtK89+0AU65eOGW8sPt58BVHJGULE3QhPwoQV58RM0NIScZceJOCttRcRkShNaQiMTMaYJefwIDZ/3mhJyE4Mh3zDCCgiroh0ak6d/mK/MuggZP9MQ2ZCODb6h4qaOIKinM7WpkhKV4k1vhudgvIC+eaRt5ymscHDzgJzhzdGvUp2YiwZwzAM8/ThT1umxFiamqCai7W2Jm7O0MYY0swLpgo5mvo6wMK05G+zuNQsvL7CH/8FROHjzVdFp+Swhadx8UGCEHfxBerJngQSS6/9fRYn78bizTUXcO1hIoYuPC0ijVNXXyiVyFwuTJDt/ZK2Ji73ld+Q+cqf0rGqXaFWmKGJrz3MTOSiJu63YY2xflJrIeaqOFvD2qx8RbocrUwfSbOziGMYhnl2cLODEXCzg2EogpWWpdJGZyg9GZeWBV8nS5gqSm6XkZyRjd1XI/DR5it6+91sye6itZhEUFLo/I8FxmDKqvN6aU17TdOGq7XW160kZCZFQ5EeA7WdL5TmlqIBQpkaiWwLF5jbOCJblYvguFQxSUJj3UJRT/KRc7czL/HrMwzDMM+P9mAhZwQs5MoHqZkqfLc7AKvOPNDuO/RBB/g5l55nGaVwFx65i1/3B2r3/TOtLRp42ZWKiGMYhmEYY+CuVea5gmriKCq17VKY3v7/2xkgauZKi9C4NCw/dV9v39c7byAyqXQbHhiGYRimNGAhx1QIqKGBauJSMlUinTqlQxWx/8DNKHy5/bqooSuN9DDVxNFzUTr17c7VhAWI//14YbVRsJuVYRiGYcoaFnJMhcDKTIHBTb20NXFvda6O2QPri7qxye2rwta85Oaz5ko5xrWprK2Jm9qpGuaNbCIaD6a/XAM2pfAaDMMwDFOacI2cEXCNXPmAukYzVbnC5kLTAEE1bY6WpqXWKUkebhnZuUIwUk0cNUCkZubAzsKk3Mw4ZRiGYZ5/knjWKvO84WilP9XAxlwpbqWJfYGZsGStQjeGYRiGKY9wapVhGIZhGKaCwkKOYRiGYRimgsJCjmEYhmEYpoLCQo5hGIZhGKaCwkKOYRiGYRimgsJCjmGYwkmOAGICoR08mxoDRN8CVGyMzDAMU15gIccwTOEibvNE4O+uQFQAkBYHHPoGmN8WCDnDYo5hGKacwAZZDMM8SlYqEB0ApMcDy3oBlZoCd/ZLx+6fBNzrAyb6vn4MwzDMs4cjcgzDPIpTVWDsbsDKWRJzGhHXfgbQYhJg4VDWZ8gwDMOwkGMYpkisXIBKzfT31RvEIo5hGKYcwUKOYZhHocaGg18Dt/fq71/aQ6qZ4xHNDMMw5QIWcgzDPAqlUy+tzk+nvnUhP816aq70lWEYhilzuNmBYZhHcagMjN4O3DsCtHgdsHSUauZOzgW6fCZtMwzDMGUOCzmGYR5FoQQ8mwLONQHLvJo4l5pAt6+4Ro5hGKYcwUKOYZjCMVECJgVEG4s4hmGYcgXXyDEMwzAMw1RQWMgxDMMwDMNUUFjIMQzDMAzDVFBYyDEMwzAMw1RQWMgxDMMwDMNUUFjIMQzDMAzDVFBYyDEMwzAMw1RQWMgxDMMwDMNUUFjIMQzDMAzDVFBYyDEMwzAMw1RQWMgxDMMwDMNUUHjWqhGo1WrxNSkpqaxPhWEYhmGYF4CkPM2h0SBFwULOCJKTk8VXb2/vsj4VhmEYhmFeMA1iZ2dX5HGZ2pDUY5Cbm4uwsDDY2NhAJpMVqppJ5IWEhMDW1rZMzvF5gtezdOH1LD14LUsXXs/Sg9fy+VtPkmck4jw9PSGXF10JxxE5I6AF9PLyMng/+mHzf6DSg9ezdOH1LD14LUsXXs/Sg9fy+VrP4iJxGrjZgWEYhmEYpoLCQo5hGIZhGKaCwkKuFDAzM8OsWbPEV6bk8HqWLryepQevZenC61l68Fq+uOvJzQ4MwzAMwzAVFI7IMQzDMAzDVFBYyDEMwzAMw1RQWMgxDMMwDMNUUFjIMQzDMAzDVFBYyBXD0aNH0adPH+GqTBMdtm3bpnec9hV2+/HHH7X3iYuLw8iRI4WhoL29PSZMmICUlBS8aBhaS1qTN998UxgvW1hYoE6dOpg/f77efTIyMjBt2jQ4OTnB2toaAwcORGRkJF5EDK0nrcvYsWPFcUtLS/To0QOBgYF69+H1lPjuu+/QvHlzMbnF1dUV/fr1w61btx57rR48eIDevXuL9abnmTFjBlQqFV40jFnPhQsXomPHjuJzkd6/CQkJjzwPf3YaXktao7feegs1a9YUn5s+Pj54++23kZiYqPc8/N40/r05efJkVK1aVayni4sL+vbti5s3b5br9WQhVwypqalo2LAh/vzzz0KPh4eH692WLFkiPpToQ14DfRBdv34d//33H3bu3Cl+AU+aNAkvGobW8r333sPevXuxatUqBAQEYPr06ULYbd++XXufd999Fzt27MDGjRtx5MgRMTZtwIABeBEpbj2pEZ0+oO7du4d//vkHFy9ehK+vL15++WXxOA28nhJ07STSTp8+Lf6fZmdno1u3bo+1Vjk5OeKDPSsrCydPnsTy5cuxbNkyfPHFF3jRMGY909LSxB8Xn3zySZHPw5+dhteS3od0++mnn3Dt2jXxnqPPURK9Gvi9+XjvzaZNm2Lp0qXi99C+ffvE5yndh9ax3K4n2Y8whqGl2rp1a7H36du3r7pz587a7Rs3bojHnTt3Trtvz549aplMpn748KH6RaWwtaxbt676q6++0tvXpEkT9aeffiq+T0hIUCuVSvXGjRu1xwMCAsRznTp1Sv0iU3A9b926JfZdu3ZNuy8nJ0ft4uKiXrRokdjm9SyaqKgosQ5Hjhwxeq12796tlsvl6oiICO195s2bp7a1tVVnZmaqX2QKrqcuhw4dEsfi4+P19vNn5+OvpYYNGzaoTU1N1dnZ2WKb35slW8/Lly+L+9y5c6fcridH5EoJSrPs2rVL7y+hU6dOiZRAs2bNtPsoKkKzW8+cOVNGZ1o+adOmjYi+PXz4UPwFdOjQIdy+fVv8JUScP39e/PVE66ehVq1aIpVA68zkk5mZKb6am5tr99F7jowtjx8/LrZ5PYtGk5ZydHQ0eq3oa/369eHm5qa9T/fu3cXgbYoqvcgUXE9j4M/OJ19Lug+lo01MpFHq/N588vWkSB1F5/z8/ODt7V1u15OFXClB4VXKu+umWyIiIkT+XBf6z0VvGjrG5PPHH3+IujiqkTM1NRVpF0obtm/fXhyn9aL99OGuC/1n4rXURyMyZs6cifj4eJEC+P777xEaGipKAAhez8LJzc0Vaf22bduiXr16Rq8VfdX9YNcc1xx7USlsPY2BPzufbC1jYmLw9ddf66Wg+b35+Ov5119/iVpYuu3Zs0ekYekzoLyuJwu5UoLq46imQzcKwjyekKO6BYrKUQTk559/FrUM+/fvL+tTq3AolUps2bJFRDTpFx8V5FKEs2fPniKiwRQNveeo1mjdunVlfSrPBbyez24tKSJEtVv0B/GXX375zM/veVrPkSNHitpiqqmrUaMGhgwZIhqeyitS7JUpEceOHROdL+vXr9fb7+7ujqioKL191NlCnUZ0jJFIT08XRc9bt24VH0REgwYNcOnSJVHESykVWi+KLFF3m25khFLavJaPQgW7tH6UOqB1o+6rli1balNVvJ6PQs01mqJ6igxrMGat6OvZs2f1nk/T1crrqb+exsCfnY+3lsnJySKLQVkh+hylP+Y08Hvz8dfTzs5O3KpXr45WrVrBwcFBrOvw4cPL5Xryn+elwN9//y1+cVIXoS6tW7cWH/4UYdJw8OBBEdKlX6qMBNUf0a1gtEihUIi1Imh96cPpwIED2uMknqkNnNaZKRz6MCIRR9Yj/v7+opWe4PXMh2oy6YOdPqjp/yfVw+hizFrR16tXr+qJD0rHUK0SRUheJAytpzHwZ6fxa0mROKolptQfZTQKZoX4vVmy9yY9hm6a2uNyuZ5l0mJRQUhOTlZfvHhR3GipfvnlF/H9/fv3tfdJTExUW1paiq6VwujRo4e6cePG6jNnzqiPHz+url69unr48OHqFw1Da9mhQwfRuUpdbPfu3VMvXbpUbW5urv7rr7+0zzFlyhS1j4+P+uDBg2p/f39169atxe1FxNB6UucareXdu3fV27ZtU/v6+qoHDBig9xy8nhJTp05V29nZqQ8fPqwODw/X3tLS0oxeK5VKpa5Xr566W7du6kuXLqn37t0ruoRnzpypftEwZj1pm96v1EVN79+jR4+K7djYWO19+LPT8FrS75+WLVuq69evL7oqde9D70mC35vGryd9Xn777bfi/zh9lp44cULdp08ftaOjozoyMrLcricLuWLQtMYXvI0ZM0Z7nwULFqgtLCyERUFh0AcTffhYW1uL9uRx48aJX8IvGobWkv4zjR07Vu3p6SkEXM2aNdU///yzOjc3V/sc6enp6jfeeEPt4OAgxHP//v3F415EDK3nb7/9pvby8hK2GSRAPvvss0da43k9JQpbR7rRHxOPs1bBwcHqnj17is8DZ2dn9fvvv6+1gHiRMGY9Z82aZfA+/NlpeC2L+hygW1BQkPZ5+L1p3HqStQ2tk6urq/jspM/QESNGqG/evKnWpbytp4z+KZtYIMMwDMMwDFMSuEaOYRiGYRimgsJCjmEYhmEYpoLCQo5hGIZhGKaCwkKOYRiGYRimgsJCjmEYhmEYpoLCQo5hGIZhGKaCwkKOYRiGYRimgsJCjmEYhmEYpoLCQo5hmGdGx44dMX36dO125cqVMWfOnDI9p4rKl19+iUaNGj3RY1977TV8++23KAtoCPnmzZvL5LUZ5nmEhRzDMKXG2LFjIZPJHrnduXOn0PufO3cOkyZNwvMolkoTWsNt27aVynNdvnwZu3fvxttvv42y4LPPPsPHH3+M3NzcMnl9hnneYCHHMEyp0qNHD4SHh+vd/Pz8Cr2vi4sLLC0tUdZkZWXhReGPP/7A4MGDYW1tXSav37NnTyQnJ2PPnj1l8voM87zBQo5hmFLFzMwM7u7uejeFQlHofQumVinyNG/ePPHL3sLCAlWqVMGmTZu0x4ODg8V91q1bhzZt2sDc3Bz16tXDkSNH9J732rVr4jlIrLi5uYlUYkxMjF6K98033xRpXmdnZ3Tv3v2JrjUkJARDhgyBvb09HB0d0bdvX3GOuhHKfv364aeffoKHhwecnJwwbdo0ZGdna+9DQrd3797ieknwrlmzRm9d6Huif//+4to12xpWrlwp9tnZ2WHYsGFCJBVFTk6OWM8+ffro7afH/9///R9Gjx4t1szX1xfbt29HdHS0uCba16BBA/j7+2sfs2zZMnHdO3fuRM2aNYUgHzRoENLS0rB8+XLxnA4ODiLyR6+rgd4LvXr1Ej9DhmFKDgs5hmHKFZ9//jkGDhwoUoAjR44U4iQgIEDvPjNmzMD777+PixcvonXr1kKYxMbGimMJCQno3LkzGjduLITH3r17ERkZKQSXLiQ2TE1NceLECcyfP/+xz5PEGAlAGxsbHDt2TDwPCR6KSOpG+A4dOoS7d++Kr/SaJIDopoHEU1hYGA4fPixqxxYuXIioqCi99DOxdOlSIfo02wQ9L6VcSUzRjQTt7NmzizznK1euIDExEc2aNXvk2K+//oq2bduKNSVhSeKXzm3UqFG4cOECqlatKrbVarX2MSTafv/9dyHKaJ3pGkhwUuqWbiQyFyxYoCfGiRYtWog1YximFFAzDMOUEmPGjFErFAq1lZWV9jZo0CDt8Q4dOqjfeecd7bavr6/6119/1W7TR9KUKVP0nrNly5bqqVOniu+DgoLEfWbPnq09np2drfby8lJ///33Yvvrr79Wd+vWTe85QkJCxONu3bqlPY/GjRsbvJ5Zs2apGzZsWOixlStXqmvWrKnOzc3V7svMzFRbWFio9+3bp10PukaVSqW9z+DBg9VDhw4V3wcEBIjzOnfunPZ4YGCg2FdwXbZu3frIuVlaWqqTkpK0+2bMmCHWqyjoOejno3vOBJ3jqFGjtNvh4eHiNT///HPtvlOnTol9dIxYunSp2L5z5472PpMnTxbnlJycrN3XvXt3sV+Xf/75Ry2Xy9U5OTlFnivDMMZhUhpikGEYRkOnTp1EelSDlZXVYz2eImwFty9dulTkfUxMTESESRO1o0geRb8KqwGjCFaNGjXE902bNkVJoNehJg6KyOmSkZEhXkdD3bp19VLLlGK9evWq+P7WrVvi/Js0aaI9Xq1aNZGSNAZKX+q+Pj23bjSvIOnp6SL1TSnaglDqVAOlo4n69es/so+en9LlBKVTKVKnex86J921p30Fz4nSyNTskJmZKb5nGObJYSHHMEypQsKNxEhZkZKSIlKt33///SPHSOg8qcAs7HVIDK5evbrQJg4NSqVS7xiJqNLq2Hzc56Z6QEqHUuqX0spFPZdG6BW2T/f5C3t9Y84pLi5OrD+LOIYpOVwjxzBMueL06dOPbNeuXbvI+6hUKpw/f157H4puXb9+XUSGSFDq3koq3nSh1wkMDISrq+sjr0ONB8ZATQJ0/lSXpoGifPHx8Xr3I3Gk2zDwpGisVG7cuIGyhJpRqIaRYZiSw0KOYZhyxcaNG7FkyRLcvn0bs2bNwtmzZ0WHqS5//vkntm7dips3b4ouUBI+48ePF8domyI+w4cPF40BlObct28fxo0b90RiiNKRlNrVvdFzUiMGRbioq5MK94OCgkSxP3VphoaGGvXctWrVwssvvyy89Og6SdDR9xSp0k1/kig9cOAAIiIiHhF5jwNFCkmAHj9+HGUJrVe3bt3K9BwY5nmBhRzDMOWK//3vf6ILkmq2VqxYgbVr16JOnTp696HOTLo1bNhQiBKyyiBRRXh6eooOUhJtJBaozotsRsgqQy5//I88EpQUPdK9TZ48WdSHHT16FD4+PhgwYICICE6YMEHUyNna2hr9/HSNVEfWvn170fH5+uuvi7o3slbR8PPPP+O///6Dt7d3iSNZEydOLDQd/Kx4+PAhTp48KYQ1wzAlR0YdD6XwPAzDMCWGolAUaSPvtcIgjzbyWqPIVXmYuPA0oGgeCbb9+/ejS5cupf78FGGklO769esfaSx5Fnz00Uciqkg2KwzDlBxudmAYhilDDh48KBonKHJIPnEffvihSKVShO5pQGlbigLqGiQ/S6im8L333iuT12aY5xEWcgzDMGUIGQt/8sknuHfvnkip0sQKSn0W7P4sTWiyRVlBRs4Mw5QenFplGIZhGIapoHCzA8MwDMMwTAWFhRzDMAzDMEwFhYUcwzAMwzBMBYWFHMMwDMMwTAWFhRzDMAzDMEwFhYUcwzAMwzBMBYWFHMMwDMMwTAWFhRzDMAzDMAwqJv8PtWH8tyyD88oAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 700x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert back to pandas for Seaborn plotting\n",
    "penguins_pd = penguins_pl.to_numpy().copy()\n",
    "penguins_pd = pd.DataFrame(penguins_pd, columns=penguins_pl.columns)\n",
    "\n",
    "# Scatter plot of flipper length vs body mass\n",
    "plt.figure(figsize=(7, 5))\n",
    "sns.scatterplot(\n",
    "    data=penguins_pd, \n",
    "    x='flipper_length_mm', \n",
    "    y='body_mass_g', \n",
    "    hue='species', \n",
    "    style='sex'\n",
    ")\n",
    "plt.title('Flipper Length vs Body Mass')\n",
    "plt.xlabel('Flipper Length (mm)')\n",
    "plt.ylabel('Body Mass (g)')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}