{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b09f29a6",
   "metadata": {},
   "source": [
    "# Where are America's national parks really crowded?\n",
    "\n",
    "The National Park Service counts recreation visits per park, each month. Spread over a whole park, the numbers look\n",
    "gentle: most of a big park is wilderness that few visitors reach. Most visits happen along the scenic roads, the short\n",
    "trails near them and the visitor facilities. Here each park's **visitor core** was drawn by one written rule from NPS\n",
    "roads, trails and facilities, and visits are measured per km² of core as well as per km² of park. The shapes in\n",
    "`data/geometry/` were made in [Plotlay](https://www.getplotlay.com). This notebook reads only `../data`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "313a50bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25 parks; 132 months from 2015-01-01 to 2025-12-01\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>state</th>\n",
       "      <th>area_km2</th>\n",
       "      <th>core_km2</th>\n",
       "      <th>core_share_pct</th>\n",
       "      <th>visits_2025</th>\n",
       "      <th>roads_source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Great Smoky Mountains</td>\n",
       "      <td>TN, NC</td>\n",
       "      <td>2262.37</td>\n",
       "      <td>228.53</td>\n",
       "      <td>10.10</td>\n",
       "      <td>11527939</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Zion</td>\n",
       "      <td>UT</td>\n",
       "      <td>601.80</td>\n",
       "      <td>33.72</td>\n",
       "      <td>5.60</td>\n",
       "      <td>4984525</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yellowstone</td>\n",
       "      <td>WY, MT, ID</td>\n",
       "      <td>8901.11</td>\n",
       "      <td>313.79</td>\n",
       "      <td>3.53</td>\n",
       "      <td>4762988</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Grand Canyon</td>\n",
       "      <td>AZ</td>\n",
       "      <td>4869.39</td>\n",
       "      <td>104.13</td>\n",
       "      <td>2.14</td>\n",
       "      <td>4430653</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Yosemite</td>\n",
       "      <td>CA</td>\n",
       "      <td>3026.39</td>\n",
       "      <td>179.55</td>\n",
       "      <td>5.93</td>\n",
       "      <td>4278413</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rocky Mountain</td>\n",
       "      <td>CO</td>\n",
       "      <td>1080.83</td>\n",
       "      <td>93.45</td>\n",
       "      <td>8.65</td>\n",
       "      <td>4171431</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Acadia</td>\n",
       "      <td>ME</td>\n",
       "      <td>145.29</td>\n",
       "      <td>75.73</td>\n",
       "      <td>52.13</td>\n",
       "      <td>4079318</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Grand Teton</td>\n",
       "      <td>WY</td>\n",
       "      <td>1254.58</td>\n",
       "      <td>135.55</td>\n",
       "      <td>10.80</td>\n",
       "      <td>3800648</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Olympic</td>\n",
       "      <td>WA</td>\n",
       "      <td>3717.10</td>\n",
       "      <td>97.49</td>\n",
       "      <td>2.62</td>\n",
       "      <td>3584187</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Glacier</td>\n",
       "      <td>MT</td>\n",
       "      <td>4079.65</td>\n",
       "      <td>163.30</td>\n",
       "      <td>4.00</td>\n",
       "      <td>3136557</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Cuyahoga Valley</td>\n",
       "      <td>OH</td>\n",
       "      <td>135.53</td>\n",
       "      <td>100.66</td>\n",
       "      <td>74.28</td>\n",
       "      <td>3025325</td>\n",
       "      <td>Census TIGER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Joshua Tree</td>\n",
       "      <td>CA</td>\n",
       "      <td>3227.27</td>\n",
       "      <td>107.52</td>\n",
       "      <td>3.33</td>\n",
       "      <td>2932644</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Indiana Dunes</td>\n",
       "      <td>IN</td>\n",
       "      <td>71.23</td>\n",
       "      <td>29.05</td>\n",
       "      <td>40.78</td>\n",
       "      <td>2629497</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Hot Springs</td>\n",
       "      <td>AR</td>\n",
       "      <td>22.08</td>\n",
       "      <td>14.69</td>\n",
       "      <td>66.51</td>\n",
       "      <td>2494611</td>\n",
       "      <td>Census TIGER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Gateway Arch</td>\n",
       "      <td>MO</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.75</td>\n",
       "      <td>94.92</td>\n",
       "      <td>2209028</td>\n",
       "      <td>Census TIGER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bryce Canyon</td>\n",
       "      <td>UT</td>\n",
       "      <td>145.63</td>\n",
       "      <td>25.70</td>\n",
       "      <td>17.65</td>\n",
       "      <td>1967367</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>New River Gorge</td>\n",
       "      <td>WV</td>\n",
       "      <td>290.44</td>\n",
       "      <td>120.71</td>\n",
       "      <td>41.56</td>\n",
       "      <td>1958440</td>\n",
       "      <td>Census TIGER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Hawaiʻi Volcanoes</td>\n",
       "      <td>HI</td>\n",
       "      <td>1556.97</td>\n",
       "      <td>48.48</td>\n",
       "      <td>3.11</td>\n",
       "      <td>1877854</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shenandoah</td>\n",
       "      <td>VA</td>\n",
       "      <td>799.47</td>\n",
       "      <td>144.53</td>\n",
       "      <td>18.08</td>\n",
       "      <td>1682152</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Mount Rainier</td>\n",
       "      <td>WA</td>\n",
       "      <td>956.83</td>\n",
       "      <td>82.56</td>\n",
       "      <td>8.63</td>\n",
       "      <td>1635342</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Arches</td>\n",
       "      <td>UT</td>\n",
       "      <td>309.42</td>\n",
       "      <td>28.71</td>\n",
       "      <td>9.28</td>\n",
       "      <td>1511740</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Death Valley</td>\n",
       "      <td>CA, NV</td>\n",
       "      <td>13900.61</td>\n",
       "      <td>373.49</td>\n",
       "      <td>2.69</td>\n",
       "      <td>1320134</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Big Bend</td>\n",
       "      <td>TX</td>\n",
       "      <td>3281.51</td>\n",
       "      <td>126.00</td>\n",
       "      <td>3.84</td>\n",
       "      <td>568104</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Denali</td>\n",
       "      <td>AK</td>\n",
       "      <td>24389.34</td>\n",
       "      <td>89.00</td>\n",
       "      <td>0.36</td>\n",
       "      <td>543300</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Wrangell-St. Elias</td>\n",
       "      <td>AK</td>\n",
       "      <td>53337.29</td>\n",
       "      <td>103.09</td>\n",
       "      <td>0.19</td>\n",
       "      <td>108840</td>\n",
       "      <td>NPS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name       state  area_km2  core_km2  core_share_pct  \\\n",
       "0   Great Smoky Mountains      TN, NC   2262.37    228.53           10.10   \n",
       "1                    Zion          UT    601.80     33.72            5.60   \n",
       "2             Yellowstone  WY, MT, ID   8901.11    313.79            3.53   \n",
       "3            Grand Canyon          AZ   4869.39    104.13            2.14   \n",
       "4                Yosemite          CA   3026.39    179.55            5.93   \n",
       "5          Rocky Mountain          CO   1080.83     93.45            8.65   \n",
       "6                  Acadia          ME    145.29     75.73           52.13   \n",
       "7             Grand Teton          WY   1254.58    135.55           10.80   \n",
       "8                 Olympic          WA   3717.10     97.49            2.62   \n",
       "9                 Glacier          MT   4079.65    163.30            4.00   \n",
       "10        Cuyahoga Valley          OH    135.53    100.66           74.28   \n",
       "11            Joshua Tree          CA   3227.27    107.52            3.33   \n",
       "12          Indiana Dunes          IN     71.23     29.05           40.78   \n",
       "13            Hot Springs          AR     22.08     14.69           66.51   \n",
       "14           Gateway Arch          MO      0.79      0.75           94.92   \n",
       "15           Bryce Canyon          UT    145.63     25.70           17.65   \n",
       "16        New River Gorge          WV    290.44    120.71           41.56   \n",
       "17      Hawaiʻi Volcanoes          HI   1556.97     48.48            3.11   \n",
       "18             Shenandoah          VA    799.47    144.53           18.08   \n",
       "19          Mount Rainier          WA    956.83     82.56            8.63   \n",
       "20                 Arches          UT    309.42     28.71            9.28   \n",
       "21           Death Valley      CA, NV  13900.61    373.49            2.69   \n",
       "22               Big Bend          TX   3281.51    126.00            3.84   \n",
       "23                 Denali          AK  24389.34     89.00            0.36   \n",
       "24     Wrangell-St. Elias          AK  53337.29    103.09            0.19   \n",
       "\n",
       "    visits_2025  roads_source  \n",
       "0      11527939           NPS  \n",
       "1       4984525           NPS  \n",
       "2       4762988           NPS  \n",
       "3       4430653           NPS  \n",
       "4       4278413           NPS  \n",
       "5       4171431           NPS  \n",
       "6       4079318           NPS  \n",
       "7       3800648           NPS  \n",
       "8       3584187           NPS  \n",
       "9       3136557           NPS  \n",
       "10      3025325  Census TIGER  \n",
       "11      2932644           NPS  \n",
       "12      2629497           NPS  \n",
       "13      2494611  Census TIGER  \n",
       "14      2209028  Census TIGER  \n",
       "15      1967367           NPS  \n",
       "16      1958440  Census TIGER  \n",
       "17      1877854           NPS  \n",
       "18      1682152           NPS  \n",
       "19      1635342           NPS  \n",
       "20      1511740           NPS  \n",
       "21      1320134           NPS  \n",
       "22       568104           NPS  \n",
       "23       543300           NPS  \n",
       "24       108840           NPS  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd, geopandas as gpd, matplotlib.pyplot as plt\n",
    "DATA = '../data'\n",
    "plt.rcParams.update({'figure.dpi': 110, 'axes.spines.top': False, 'axes.spines.right': False, 'font.size': 10})\n",
    "p = pd.read_csv(f'{DATA}/tables/parks.csv'); m = pd.read_csv(f'{DATA}/tables/park_months.csv', parse_dates=['month'])\n",
    "print(len(p), 'parks;', m.month.nunique(), 'months from', m.month.min().date(), 'to', m.month.max().date())\n",
    "p[['name', 'state', 'area_km2', 'core_km2', 'core_share_pct', 'visits_2025', 'roads_source']].sort_values('visits_2025', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b2a3804",
   "metadata": {},
   "source": [
    "## 1. Per km² of park, and per km² of core\n",
    "\n",
    "A year's visits over the area and 365 days. The four parks with no NPS road data (roads from Census TIGER, every public\n",
    "street) have cores that read larger and emptier, so they are left out of the ranking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4695de4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Spearman between the two rankings: 0.88\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>per_day_park</th>\n",
       "      <th>per_day_core</th>\n",
       "      <th>rank_park</th>\n",
       "      <th>rank_core</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Zion</td>\n",
       "      <td>22.7</td>\n",
       "      <td>405.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Indiana Dunes</td>\n",
       "      <td>101.1</td>\n",
       "      <td>248.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Bryce Canyon</td>\n",
       "      <td>37.0</td>\n",
       "      <td>209.7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Acadia</td>\n",
       "      <td>76.9</td>\n",
       "      <td>147.6</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Arches</td>\n",
       "      <td>13.4</td>\n",
       "      <td>144.3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Great Smoky Mountains</td>\n",
       "      <td>14.0</td>\n",
       "      <td>138.2</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rocky Mountain</td>\n",
       "      <td>10.6</td>\n",
       "      <td>122.3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Grand Canyon</td>\n",
       "      <td>2.5</td>\n",
       "      <td>116.6</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Hawaiʻi Volcanoes</td>\n",
       "      <td>3.3</td>\n",
       "      <td>106.1</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Olympic</td>\n",
       "      <td>2.6</td>\n",
       "      <td>100.7</td>\n",
       "      <td>13</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Grand Teton</td>\n",
       "      <td>8.3</td>\n",
       "      <td>76.8</td>\n",
       "      <td>8</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Joshua Tree</td>\n",
       "      <td>2.5</td>\n",
       "      <td>74.7</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Yosemite</td>\n",
       "      <td>3.9</td>\n",
       "      <td>65.3</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Mount Rainier</td>\n",
       "      <td>4.7</td>\n",
       "      <td>54.3</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Glacier</td>\n",
       "      <td>2.1</td>\n",
       "      <td>52.6</td>\n",
       "      <td>16</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Yellowstone</td>\n",
       "      <td>1.5</td>\n",
       "      <td>41.6</td>\n",
       "      <td>17</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shenandoah</td>\n",
       "      <td>5.8</td>\n",
       "      <td>31.9</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Denali</td>\n",
       "      <td>0.1</td>\n",
       "      <td>16.7</td>\n",
       "      <td>20</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Big Bend</td>\n",
       "      <td>0.5</td>\n",
       "      <td>12.4</td>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Death Valley</td>\n",
       "      <td>0.3</td>\n",
       "      <td>9.7</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Wrangell-St. Elias</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name  per_day_park  per_day_core  rank_park  rank_core\n",
       "1                    Zion          22.7         405.0          4          1\n",
       "12          Indiana Dunes         101.1         248.0          1          2\n",
       "15           Bryce Canyon          37.0         209.7          3          3\n",
       "6                  Acadia          76.9         147.6          2          4\n",
       "20                 Arches          13.4         144.3          6          5\n",
       "0   Great Smoky Mountains          14.0         138.2          5          6\n",
       "5          Rocky Mountain          10.6         122.3          7          7\n",
       "3            Grand Canyon           2.5         116.6         14          8\n",
       "17      Hawaiʻi Volcanoes           3.3         106.1         12          9\n",
       "8                 Olympic           2.6         100.7         13         10\n",
       "7             Grand Teton           8.3          76.8          8         11\n",
       "11            Joshua Tree           2.5          74.7         15         12\n",
       "4                Yosemite           3.9          65.3         11         13\n",
       "19          Mount Rainier           4.7          54.3         10         14\n",
       "9                 Glacier           2.1          52.6         16         15\n",
       "2             Yellowstone           1.5          41.6         17         16\n",
       "18             Shenandoah           5.8          31.9          9         17\n",
       "23                 Denali           0.1          16.7         20         18\n",
       "22               Big Bend           0.5          12.4         18         19\n",
       "21           Death Valley           0.3           9.7         19         20\n",
       "24     Wrangell-St. Elias           0.0           2.9         21         21"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q = p.assign(per_day_park=p.visits_2025 / p.area_km2 / 365, per_day_core=p.visits_2025 / p.core_km2 / 365)\n",
    "nps = q[q.roads_source == 'NPS'].copy()\n",
    "nps['rank_park'] = nps.per_day_park.rank(ascending=False).astype(int); nps['rank_core'] = nps.per_day_core.rank(ascending=False).astype(int)\n",
    "print('Spearman between the two rankings:', round(nps[['rank_park', 'rank_core']].corr(method='spearman').iloc[0, 1], 2))\n",
    "nps.sort_values('per_day_core', ascending=False)[['name', 'per_day_park', 'per_day_core', 'rank_park', 'rank_core']].round(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2f23185b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2UAAAL3CAYAAAAKr+2vAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjExLjIsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvgI3uAAAAAAlwSFlzAAAQ6wAAEOsBUJTofAAAuMRJREFUeJzs3QWYVHX7//Gb7u4OKQEVlJBukZCQxpYSbBQVC7ExUFEBlVBAREFRKcEApEFAQFAQCemQ7tr/9fk+/zO/2Z5ddjm78H5d11zszJw558xZfJ75cN/fe1KEhYWFGQAAAADAFyn9OSwAAAAAQAhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGVAiM6dO2fbt293fwIAAAAJhVAGhGj37t1WpEgR9ycAAACQUAhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZQAAAADgI0IZAAAAAPgotZ8HB5Kj8ZNnWY5cuf0+Das6tJ/fpwAAAJCkVZq/3pIDKmUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IiR+PDVmTNnrGbNmjFu07VrV+vbt6999tln9tVXX9m0adMu2fkBAAAAiY1QBl+lSZPGhg8fHuVzr732mn3zzTfWs2dPd3/Xrl22atWqS3yGAAAAQOIilMFXKVKksCpVqkR6fMqUKTZ58mTr0KFDIJTdfffd1rx5cx/OEgAAAEg8rClDkrNx40a74447rFy5cjZq1KjA4zNnzrT+/fuH21aVs3vuucdq1aplzZo1s2HDhtn58+cDz+t++/btbf78+XbXXXdZvXr13PZ///33JX1PAAAAQHQIZUhSTpw4YbfeeqtduHDBtS5mzpw58FzE9sUVK1ZY9erV3c8DBw60tm3b2jPPPGO9e/cObLNjxw5XdXv44YetVatWNmDAANuzZ481aNDAjh8/HuO5HDlyxLZv3x646fgAAABAQqN9EUmKWhXXrFljkyZNcpWymDz11FNWrVo1Gz16dOCxbNmyWZcuXVwIq1ChgntMAW/q1KlWoEABd79s2bJWuHBhW7JkiTVs2DDa/Q8ePNiFPQAAACAxUSlDkjFkyBD7/PPP7YknnrB27drFuv3SpUutZcuW4R7T/bCwMFu2bFngsaJFiwYCmRQqVMhSpUoVa+VLEx+3bdsWuOl4AAAAQEKjUoYkYeHChfb444+7tsJXX3011u21bkzth8HtjZIhQwYXuNR6GDzhMSoKbzHJmjWruwEAAACJiUoZfLd79243ZTFfvnz25ZdfulAVG21TsmRJ1+oYbN26dS6wlS5dOhHPGAAAAEg4hDL46ty5c9axY0fbv3+/W0eWJ0+ekF97//3325gxY9zaMG9ISL9+/dxatMaNGyfiWQMAAAAJh/ZF+ErTFOfNm+faBBWyoqIJix9++GGkx7X9pk2b3Jj7IkWKuKmKJUqUsIkTJ0bbsggAAAAkNSnCYltYAyQiVbfUchgTBbYyZcq4Nse9e/fatddeG+75o0eP2ubNm93kxWLFioV7bufOnXbw4MHAJEbP8uXLXYDLmTNnyOeqsfgKf4OGjLQcuXKb36oO7ef3KQAAACRpleavt+SAShl8lTFjRqtSpUpI2+bPn9/dIsqSJUukoOYpWLCgu0V0ww03xONsAQAAgITHmjIAAAAA8BGhDAAAAAB8RCgDAAAAAB8RygAAAADAR0xfBOI4fXHbtm1WuHBhrhsAAAASBJUyAAAAAPARoQwAAAAAfEQoAwAAAAAfEcoAAAAAwEeEMgAAAADwUWo/Dw4kR+Mnz7IcuXL7fRq4zFUd2s/vUwCueJXmr7/irwGAS4NKGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQlsJ9++sk6d+5sR48eveh9nThxwu1r1apVgce+//57u//++y0pvmfdunbtaj179rQXX3zRPX7hwgW/Tw8AAABI0ghlCWzjxo325Zdf2unTpy96X2fOnHH72rVrV+CxdevW2XfffWdJ8T03atTIWrVqZdWrV7cjR47YXXfdZRUrVrTVq1f7fYoAAABAksWXRyczrVu3tvLly1tS1LZtW8ud+/++VHnAgAHWvHlzu/nmm+2vv/6yrFmz+np+AAAAQFJEKEtkX331lS1ZssQeeOABGzdunG3ZssVKlizpWhCzZ88ebtvNmzfbRx995CpjV111ld1xxx2R9vf333/bzJkzXUVK5s6da8OGDXM/p0uXzooXL+5aCMuWLRvncwhlX3GRJUsWGz58uKuWjRo1yh555BH3+MiRI23Hjh32/PPPB7ZVu2ePHj3s2WefddvH9dodO3bMxowZY8uXL7fUqVNbixYtAtdIzp4966p5ixYtsrCwMLvxxhvttttus1SpUsXrvQEAAAAJhfbFRKbWPQWtpk2bWtq0aV1r39dff221a9e2c+fOBbbbsGGDVa5c2a0fq1Wrlu3bt89q1KgRaX8R2xeLFi1qbdq0cbcGDRrYnj17rFKlSjZ79uw4n0Mo+4qrChUqWOHChW3evHmBx5YtW2a//PJLuO3U7qnQtHv37jift0KszvO9996za665xgW3u+++O1zo69atm6vclS5d2l3nOXPm2O233x7v9wUAAAAkFCpll4AGdkyZMiVQcVLgKVOmjKva1KlTxz329NNP29VXX23Tp0+3FClSuMeyZctmr7zySoz7LlGihLt5FEYUYF566SV3nLicQ6j7iquCBQuGC1txEcp59+3b1w4fPmzr16+3nDlzuseqVKniWifvvfdeV/GbPHmyC3iq/ImqcrGdk9bF6eYJXtsHAAAAJBRC2SWgClRwC2CpUqUsZcqUtn379sBjqkY988wzgUAmXbp0iTWUyYIFC2zq1Km2c+dOV3H6559/wu071HMIdV9xpdbBjBkzxuu1oZy3zveee+4JBDLR0BG1OP74448ugN1www329ttvu/OoV6+e5ciRw/Lnzx/jsQcPHmwDBw6M13kDAAAAoaJ98RJInz59uPsKXrqdP3/e3defBw8eDBcqJFeuXLHue9CgQa69T5Ma1dan1sPrrrsu0kj+2M4hLvuKC43E13RGtRTGR2znrXPVerL58+cHxvJ7N4XKTZs2ue3U8qn388Ybb1iBAgVcJW3atGkxHlsVuG3btgVuS5cujdd7AAAAAGJCpSwJ0LCJIkWKuKpUMIWZ2AwdOtRV2Pr37x94bOXKlfE6j4Tcl0dtgwp1wUM3FLQifmXAf//9F6/9q71SFS9NpGzZsmW45xTCvCqbWkGfe+45d1NLpL5H7dZbb3UDR4InRgbTtEgmRgIAACCxUSlLIjQJUFMJ1Tbotfy9+uqrsb5OkwaD10YpyH3yySfxOoeE3JdomEfv3r1d9S04lClArVmzJnAsTUN855134n2c++67z4VHtSwGV8pUeVSoUgjTZEavuqYWxpo1a7oqW0J8nxwAAABwMaiUJREa9KEWPI2D19RFfa+XJgnGRmvONJDjt99+s8yZM7vJhtrHihUr4nwOF7uvnj17usqVQtCff/5p+/fvt169ermph8Fr5e688043Il+tkZqoqDH/F/Pdaxqjr0qb1pupLVGhS1MqNRBk9OjRliZNGvv5559dFVDvRy2VGhSiqlmhQoXifVwAAAAgIaQIU5kCCUYtiAozao1TQFFFSOuRNAkwmL6DS4GkWLFigcf0q1i8eLGb8qeAoWmMGgFfv379wFAKhR2FmODKk6prCk4agFG1alXXLqjKUbt27dzzcTmH2PYV03sWha9MmTK5dkwFLQWiqKhqpTVaBw4ccNspHH3zzTduumK+fPnifN6yd+9e9z1luo7ap6YuBtOIf70XvTcFQu84odJwEb2vQUNGWo5cUbc8Agml6tB+XEzAZ5Xmr/f7FABcIQhlQIgIZbiUCGWA/whlAC4V1pQBAAAAgI8IZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPmL4IxHH6osb0Fy5cmOsGAACABEGlDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAAAAAPARoQwAAAAAfJTaz4MDydH4ybMsR67cdrmqOrSf36cAIAmrNH+936cAAJcdKmUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjpi9eIsuWLbPvvvsucD9dunRWrFgxa9WqlWXPnt2SgwsXLtivv/5qK1assFOnTlmJEiWsdu3aVqRIEb9PDQAAAEi2qJRdIsuXL7dXXnnFBZv06dO7UDNs2DAXbPRcUvfHH3/Ytddea3feeaf9888/duLECfv888+tdOnS9sQTT/h9egAAAECyRaXsEuvbt6/lzv2/77hSQKtUqZL179/fZs2aZUnVrl27rGHDhlanTh0bP368q/J55s2bZ6+99pqv5wcAAAAkZ4QyH6VMmdIqV67sgo3np59+srVr17qK1KRJk2zHjh1WrVo1W7hwoT355JOWJUuWwLYKdS+99JI1atTItRFKWFiY/fLLL/bbb79ZpkyZrHnz5layZMnAa/T8jz/+6KpzqVOntmbNmlnFihVjPM/XX3/dVfZGjRoVLpCJgtpVV13lfl65cqV9/fXX7mdtV7x4cWvZsqXlyJEj0vu75557bNq0abZlyxZ3fu3atXPnI3/++aerwoXyfk+fPm3ffvutbdiwwbJmzerer6p3cTkeAAAA4CfaF310/vx5F47Kly8feGzOnDk2cOBAq1Klii1evNhSpUplBQsWtCFDhtjYsWPDvX7GjBlu27x587r7hw8ftrp161qXLl1s8+bN9vfff7s1a9pOjh49avXq1bOuXbu6sKcgU7VqVfvkk09iPM/vv//eBaFs2bJF+bzOT3Suas3UTWHps88+cwFp9erVkd6fjqvwePDgQXvsscfs5ptvDmxTuHDhkN7vvn377LrrrrPnnnvOvfe5c+fa1VdfbZ9++mmcjgcAAAD4iVLBJaZWvwwZMrjK0+zZs13Qeffdd8Nto+CgNsHg4KDKmdag9enTJ/CY7isslSlTxt3v16+fC1pr1qyxfPnyucd0nH///df9/NRTT7kQqOe96lmDBg3svvvus7Zt2wbaKoOpsqbX6/nYaM2ZbsHuuOMOe+aZZ2zKlCnh3p/u16pVy93v3Lmz3XDDDbZ06VJXFVR1LJT3q/3q/en9eBW1559/3h566CFXAfSuQWzHi86RI0fcLbiNEwAAAEhoVMouMbX1qZKUOXNmV0VS4NFkxmA5c+aMVMm5//773bCN+fPnu/tbt251laPevXsHtpk4caJ169YtEEZEx/JCzIQJE1wVLbidUffVxjd16tQYz1vhLBTbt2+3kSNHujbDZ5991v777z/7/fffI1XWvIAkWlenVk5V9+LyfhW0FN6CWxz1OlUEVTWLy/GiMnjwYDdZ0rvFFOAAAACA+KJS5uOgD3nrrbfsrrvuspo1a7oR+ZInT55Ir1NbnoZtDB8+3K2n+uijjyx//vyuPVHULnjo0CErWrRolMfV8wcOHHBrqhSWgimUaaJiVFKkSOHWhm3atCnW96Z1YAqFTZs2tXLlyrmwlDZtWlepChYcokQBScc5e/ZsyO9XrZ979uyxQoUKhduXAqnej8JhXI4X3e+qe/fu4SplBDMAAAAkNCplPtOHfIUDDcmIzQMPPOCGf+zcudMN3ejRo0dgWIUqcBqoodAVFT2v70PzKnXBN7X7aS1adBSEfv7550jhyuO1R2rtloKMvo9t0KBBLvxpzVd8xfR+tX6tQIEC4cKX7N69286dOxdtOI0LDQ7R+jbvpuMBAAAACY1Q5rMFCxa4P70Ww5goHGnIhSYH7t+/34WUYGpFVHgJXvuk7xPTNEO57bbb3EAMfa+YApN369ixY7hhIxFpCqLaLVXRO3nyZLjnFNZ69uzpftZzadKkCTynEDd69OiQr0Vc32/r1q1tzJgx7j153n//fbdOTwNNAAAAgOSA9kWfBn2omrN+/Xo3pl3BKKZQ5FF1SEM5NOBCgzcitu5pdL0CmEbcK9CodVDj9jVIRO2Aql4pgCkAqsUwY8aMtm7dOjeJMaY1ZWob1FAShT6Nv9fYeVXltFZMa740zVAefvhhd26q1inEqWKmP9U2GR+xvV+tW9P709cKtGjRwq0R0/e9KQhG1QIKAAAAJEWEskvYpqgQEbjwqVNbmzZt3Joy73u+pEmTJq5VLjpaZyXBAy+C105p7LuGXGjKoipGGhfv7U/fW6YQqMEiGrev4R0KM9qn1lnFRKFOLZaLFi2yFStW2JkzZ6xGjRo2bty4wGCRxx9/3H1vmbbR/jRKX38GfzF2dO/vxRdfdAM44vJ+c+XK5c5l+vTpLuAqjH744YeBtXnxOR4AAABwqaUIC3WsHpIEtQqq5VGTCTWs4nKXlN6v1q9pCuOgISMtR67IXx9wuag6tJ/fpwAgCas0f73fpwAAlx0qZcmEvrdMX4Ss1jy1BfodUBLblfZ+AQAAcOUilCUTGqBRqlQp15qo8fmXuyvt/QIAAODKRShLJjp06GBXkivt/QIAAODKxUh8AAAAAPARoQwAAAAAfMT0RSCO0xe3bdsW49cWAAAAAHFBpQwAAAAAfEQoAwAAAAAfEcoAAAAAwEeEMgAAAADwEaEMAAAAAHzEl0cDcTR+8izLkSs31+0yUnVoP79PAXFUaf56rhkA4LJBpQwAAAAAfEQoAwAAAAAfEcoAAAAAwEeEMgAAAADwEaEMAAAAAHxEKEOC2bhxo3366af2559/XrKreubMGXfMHTt2BB5bs2aNTZw48ZKdAwAAAHAxCGVIMAMGDLB77rnH+vfvf8mu6okTJ9wxFcQ806ZNs0cfffSSnQMAAABwMQhlSBCHDx+2yZMnW7NmzVwo2rt3r29X9pprrrGOHTv6dnwAAAAgLvjyaCSICRMmWIoUKVwrYenSpW3cuHHWt2/fSNtt3rzZVqxYYZkyZbKaNWta1qxZA62P8+fPdz+nS5fOihcvblWrVrXUqcP/Fb1w4YL9+uuvtmvXLrvqqqusTJkykY5RtGhRq1GjRuB+qPsGAAAA/MCnUiSI0aNHW5s2bSxv3rzWvn17dz84lGntV8+ePe3LL7+0WrVquXD00EMP2WeffeYC1O7du23OnDlu21OnTtmyZcssffr0Nn36dCtWrJh7/OjRo9a0aVMXsmrXru3WrilgRaRK3QcffGAdOnRw90PZNwAAAOAXQhkumsLRkiVL7IUXXnD377zzThs1apT99ttvVqVKlcB6s6+//tqWLl3q2gtlz549tnXrVvezQpZunvPnz9stt9zi1qeNHz/ePfbyyy/bv//+69aP5cuXz86dO2e33nprrOcXyr6jcuTIEXfzqDoHAAAAJDRCGS6aqmIKSU2aNHH369at6ypQetwLZfq5e/fugUAmeo1uHlWxFO527txpp0+ftly5ctnChQsDz3/xxRfWrVu3wGvUfvjUU0/ZlClTYj3H2PYdlcGDB9vAgQPjcUUAAACA0BHKcFFUrRo7dqyVKlXK/enRei+FqLfffttSpkzpqmJRrf/yzJ492w3nUPtjuXLlLEuWLLZp06bAwBBVt7Zv324lSpQI97qSJUvGeo6x7Ts6ar9UkAyulFWrVi3W4wEAAABxQSjDRZkxY4YLXDfddFNg3ZYUKVLE5s2bZ99++6117tzZDfbQdtF5+OGHXSviRx99FHjslVdesVWrVrmfU6VKZTlz5rT//vsv3Ov2798f6znGtu/oaAiJN4gEAAAASCyEMlwUtSVqiqIGdkSkEKbnFcq0hmvMmDH2xBNPWMaMGd3zYWFhrvpUsGBBV7VStc1z9uxZN9ExWKNGjdxj+g4yVd8kuDoXnVD2DQAAAPiFUIZ4U5Vq6tSp9uabb0b5vKYwauLitm3b3Pqs+vXrW+XKld0gkLRp07oq2iOPPOKmJHbp0sVeffVVt/Yrc+bM9vnnn7upicFU3VL7oNauadLj6tWrXaUuNqHsGwAAAPALoQzxtmHDBuvatWtg9HxECk5qYdQI+wYNGtjvv//uph0uX77csmXL5oJa9erV3bZae6bvDtPwjX379lm/fv3cGjCN0Peo2qWWwxEjRrgJjPo+tJdeeskN+yhUqFC0Xx4dyr4BAAAAv6QIUw8ZgFhp0IjWyg0aMtJy5MrNFbuMVB3az+9TQBxVmr+eawYAuGz8b2EOAAAAAMAXhDIAAAAA8BGhDAAAAAB8RCgDAAAAAB8RygAAAADAR0xfBOI4fVHfu1a4cGGuGwAAABIElTIAAAAA8BGhDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAAAAAPBRaj8PDiRH4yfPshy5cifIvqoO7Zcg+wEuZ5Xmr/f7FAAASFRUygAAAADAR4QyAAAAAPARoQwAAAAAfEQoAwAAAAAfEcoAAAAAwEeEMiSIQ4cO2eLFi23Xrl0JdkW3b99uq1atSrD9AQAAAEkRoQwJ4o033rAaNWrYfffdl2BXdPjw4dapU6cE2x8AAACQFBHKcNEuXLhgY8aMseuvv96mT59ue/bs4aoCAAAAISKU4aLNmjXLduzYYWPHjrVMmTLZuHHjwj1/4sQJ19p48uRJO378uP3+++/2zz//BJ4/e/asrV271rZs2RLtMY4cOWJr1qyxw4cPR7vN6dOn3TZ//vmnhYWFRXpex/n7779tw4YNLkgCAAAASQGhDBdt9OjRVqtWLStfvrx16NDB3Q+mEKTWxscee8yKFStm9957r40fP9499/rrr1vu3LmtadOm1qhRI1dt++uvv8IFuq5du1q5cuVcK2OePHncayLSY3rulltuscaNG1vp0qVt5cqVgeenTZtmRYsWtSZNmljbtm2tUKFCNmHCBH77AAAA8B2hDBfl4MGD9t1339kdd9zh7utPVb2WLVsWadvly5e7gLZixQp77rnnbMiQIe5PVdg01EPVs5EjR9rWrVsDr9m2bZtVqFDBVeLWrVtnI0aMsGeeecY2bdoU2GbYsGHWv39/96eqbdrXzTff7ELcuXPn3Da9e/e2Hj16uOd1frodOHAgxvem6pz25d0ScogJAAAA4CGU4aKo4qVWwY4dO7r7derUseLFi0eqlomCU86cOQP333nnHbvzzjutVatWgccqV67sqmaebNmy2dNPP20pUqRw93UctR6uXr06sM3gwYOtefPmdtttt7n72va1115zgW7q1KmB1sbglkadR58+fWJ8b9pvkSJFArdq1arF6xoBAAAAMSGU4aIofKnlcP369W7d2JIlS1yr4hdffGGnTp0Kt23JkiXDre9S1UqvjUn+/PkDgUzSp09vqVKlsmPHjgX2s3HjRheadHzvpkpY3rx53foyGTp0qH300UdWokQJu/vuu926tzNnzsR47L59+7pg592WLl0ar2sEAAAAxCR1jM8CMdBQDbUk3nDDDfbII4+Ee04DPb799lvr3Llz4LGUKf/v3wBSp05tadOmdS2CF0P7SZMmjf34449ugEiwAgUKWIYMGdzP7dq1szZt2rjznTdvnr344ouuEqagpX1EJWvWrO4GAAAAJCZCGeJt1KhRbniG1o8FV7OkZcuW7vngUBZM2zdo0MAmTZpkTz31VLjXa0qjF6Zio9c1bNjQChcu7NabBVObo9oWz58/7ypqqrKpBVG36tWru1ZLrU0rU6ZMvN4/AAAAkBAIZYgXhZzPP//crQmLGMikffv21q1bN9f2F523337bBSMN5ejZs6ernH399ddukqOGcoTq3Xfftbp167rXaH1axowZA0NB1F6p0FWpUiU39VFVPYW1999/301oDG6pBAAAAPzAmjLEiyYoKtBoXH1UWrdu7SpS8+fPd99dpsqUwlIwTVVctWqVXXvttfbhhx+6yprG4nuBTOvEFKYiuvHGG934e4/G5auVsmDBgvbBBx/YoEGD3CRHjbzXmrXMmTO7lkVV4DRcRIGsSpUq7rHoWhcBAACASyVFWFTfsgsgEo3FV1AcNGSk5ciVO0GuUNWh/bjSQCwqzV/PNQIAXNaolAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI+YvgjEcfqivntNX1YNAAAAJAQqZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4KPUfh4cSI7GT55lOXLlTrD9VR3aL8H2BSQnleav9/sUAABIEqiUAQAAAICPCGUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAABAcg5lZ8+etePHj1ty4+c5//fff3b69OkE3++pU6ds//79dujQoSifP3bsmHtefyZXJ0+etIMHD/p9GgAAAIC/oezMmTP2xhtvWPny5S1jxoyWP39+y5UrlzVq1MgmTpxoFy5csEvlwIEDLoyEYuXKldayZUvLlCmT5cuXz/LmzWt33323rVu3zi6lQoUK2dixYxN8v59++qnlyZPH7T+q4FWzZk33/COPPGLJNVi99957ds011yT4OQEAAADJJpSpwtOkSRP78MMP7bXXXnMf/o8ePWpr1qyxG264wbp06WI7d+60S6VkyZI2YsSIWLfbt2+f1a9f39KnT2///POPO+/169e79zJmzBi7nGTNmtUmTZoUKZD++eefljt3wn2/Vny9/fbbVrly5Xi9Vv8IkDNnzgQ/JwAAACDZfHn066+/bkuWLHEhrHTp0oHHCxYs6KpnqsakTv1/u1X4UeVMQeH8+fN25MgR93OqVKnc82FhYS7UZcmSxVKkSBHuWGrDO3funHs8W7Zs4fbrVcn0erUiqi1PcuTIEdh3sIULF7pjP/30066y52172223RdlemDlzZkuXLp07vm4Kcx69D1ULM2TIEO110mtUEdL7CoWukyp+quLp/UQVnlRd0jkpmMSka9eu9tlnn7kqoEf3b7rpJhdIo6Pfg95TxOus89H70e/Ao+uu66TH0qRJ4x47ceKEuy7Zs2d39/X+I14jPabt9HfC+53p2up6K/DrHCRt2rTu70lEPXr0sDvuuCNwP5RjBtP70LG1fwAAACBZVso++eQTu+WWW8IFsmBt2rQJhB657777rHnz5tazZ0/3AV6v+/vvv+3w4cPWvXt398FbbYQKIW+99Va4fek45cqVs7Jly7oP7ZUqVbKff/458HyNGjXch/iXXnrJbaebqkHRVdTk888/j7XdUe1/Dz30kN14443uvBSC9B62bNlit99+uwtzOu/rr7/eNmzYEO6127Ztc+et1+i12tcHH3wQ4/G+//57K1CggI0aNcpdG7UYzp8/P9w2W7dudfv74YcfLDZ33XWX/frrr+41XhD54osv3ONReffdd93xdVydd+vWrW3Hjh2B5x977DH3WDAFMm0/d+7cwGOvvvqqq5Y+//zzbn+6TvpTxw7++6MWRO3f+53169fPPTd58uTAYwr5aont27dvuN9XxPbFUI4py5cvd79PhV5dx2rVqtm8efNivZYAAABAkgple/fudR+m9SE4mKoTqnp4t4hDLBYsWOAqGd7zClla2/XTTz/ZnDlz3Ifub775xoWrL7/8MvA6fWj2XqMql6paCn1ee6TaDxWOVL3ztqtYsWKU564P8m+++aYNGzbMtb/Vrl3bnnzySVuxYkWU23/11Vdue1XrVBVUyNEaOu1fgURVK33Af+CBBwKvUQXm1ltvdeexefNmV8XRuT388MNuf9EFIlW2Ro8ebU888YRde+217tx0nsE++ugjF3ZbtWoV6++pTJkyLnR469ZmzJjhfidRvVYhVaHonXfecRWxjRs3ut9xu3btXDUsrjZt2mS7du1yYVXvv0+fPnbPPfcEfmcKu/3797ciRYoEfmfee+3cuXPgMVUOFfimTJnigtfFHFMUpvV3QP8YoN/p8OHDYw24+ju3ffv2wE3HAAAAAHwNZV5rWcSWPH2o9ipaqp5EHGJRuHBhF068FkBVu1QJUiDxAl69evXs/vvvj/IDuNoFdWx90FYl58cff4z7OzWzxx9/3Pbs2eOGkTRu3NhmzpxpVapUsVdeeSXStr1797Y6deq4nytUqGB169a14sWL21NPPeXa9VS5Uxud2iI9Cpm//fab+8CvCpnaKLVN27ZtbdCgQZHekwKd3q9e1759+8BzelxrwrQOzptwqSqaWvcithZGR1Ux7/egNXMdO3YM14Lp0XkpDOmm8y1atKir7KlFVYE5rhRUtd5Qf0dSpkzpKl0KhNGF3+jo960QquunCtrFHlOBSoFX10DbqMoZ1e892ODBg1149G4KugAAAICvocwbsKC1XMH0IVjVDVWuoqvc6IOwRx+WtU5Mwx6CK2xXX321m4SodjtR1UyVKX2QVvuhgp+qVP/++6/Flz64t2jRwl544QU3/KJbt26u9S3iWqsSJUqEu6+KXFSPeeutRK2TWvOlD//Bqlevbn/99Ve4ytOzzz7rpiUq1KmtLpiqbWrdUxCTr7/+2l0fhbJQderUybUvTp8+3VWb7rzzzkjbqLKn6lLEsKGgqoAWn6mUCqPB67UUmLSv6Mb0B9u9e7cbFKPfkcK9ft+qVsb2+w7lmAMHDnShXGH85ZdftsWLF8d6Pvp7rXZU77Z06dJYXwMAAAAkaijTeh1Vw4KrQ6HwBkEEDvr/A5qqZN4aIt0effRRt+5MAUQtg2rrU9VIVRO1nelxrRdSlSkhKBiqoqRwsnr16kjPRbV9bO9T5xbxKwE0iEIVruDXqzKlapvCoRfqgvejNXhqWVSQUyVSrYcKH3H5XWlt27333usqlWqJjOr96LxUiYtpGEZU7zu630Fs1ygmqoQq/Oh34X3nmgJUbL/vUI6pFlLtW9dD7ZlaI6hW2JhaNBW6de28m/7uAQAAAL4P+tCaoFmzZtmiRYvifVBNaNQHaQWv4EqZbmrZU9uaqmkKJxoU4rXdaQhG8AAK8SYkxkYtj1q3FpGGd4gqUxdLg0h0LlpDF0xtgHou2HXXXefWzOmmyljE4SO9evVy65i01kvr2dROGVcKIDofDVSJin4HqupFbFPUWi6FFZ2jaDCG2j6DRQyxcRHd70ytn6rwBVckZ8+ebQlFA2UU9BVy1cL63XffxTiNEgAAAEiSoUzhQOt8br75ZjctUS1uGqigD9T63jKJaiR9xFCmD9+q5GjYgioYv//+u5us16FDB7eNWhtVwdE+1b6m4BDV8Am1RuqDu/ahUBddVUX70rothTy1Laq1T8M3NOSiatWqVqtWrbheiijflyowaon85Zdf3Af+5557zv2sISYRaRKl1taphVCvC/7CZ1VltBZNwz9KlSrl2u7iqlmzZu6aaB1cdFSJmjZtmjs/na/Wt+kaadqi19bYtGlT1375/vvvu9+FAm7wgJO40u9MIU/v3Rvq4VVO1dKp348C+DPPPOMmU14sVVnVQqrft96j9q3pjAqbqoABAAAAySqUqbqiD84aHqGKkIKVPrxrSIemM6qKFvz9WFofFPz9Vp5x48a5drUXX3zRralSkFFQ0gd/UQVn/Pjxrrql57UeSIFQPwd/T5eCnD7UKxDFNBJfoUcDRjSdTy2LGtyh16ryp8eDg6Q+rEcciqFWtojvQxUfVdiC2+e0Dk5tcZoAqGPoGmldl36Oav8aIKFqmSplCqpao+ZROFLI1J+htOjp+7kink9UbY3Bg1oaNmxoU6dOdcFRg00efPBBNxRE196j1kdNh9TvXQNZNKBF107HiriWS/uPKOL11N8ZhTpV8LSO0BuJrzV0ao9VGFUQVADUMI7g72yL+OXRoRxTvzcNL9HAEO1Xawr190AVwaiGnwAAAACXUoqw+Mw9xyWhNWVaZ6cqYEK0V+LiqJ1UIXrQkJGWI1fkL/eOr6pD/xdKgStNpflRD4cCAOBKE9p8dVxSGmyiIKbWTVXJCGQAAADA5SvO7YtIfGoF1RoytWpqzRcAAACAyxeVsiRI6/UAAAAAXBmolAEAAACAjwhlAAAAAOAjpi8CcZy+qCEsfL8ZAAAAEgqVMgAAAADwEaEMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8BFfHg3E0fjJsyxHrtzxum5Vh/bjeiPZqDR/vd+nAADAFYFKGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpSF6M8//7Ts2bMHboUKFbIaNWrYsGHDLCwsLEF/Kfnz57exY8daQhs9erQ792LFitmZM2ciPd+kSRP3/EMPPWTJ1bvvvmsVKlTw+zQAAACAkBHKQnT+/Hk7fPiwffjhh7ZlyxZbsmSJdenSxfr06WNvv/22JaRDhw7Z6dOnLaFpn3oPuk2ZMiXccxs3brSff/7ZBcwTJ06Yn9566y279tpr4/XaU6dOufcHAAAAJBeEsjjKlCmTqyYVLlzYVZRq1qxpEydOtOSkY8eO9tlnn4V7TPdr165tBQoUML8pWB05ciRer3300Udt3bp1CX5OAAAAQGIhlF2kdOnS2bFjxwL3jx496oJB6dKlLV++fFa3bl2bPn16uNecO3fOBg0aZNdff71rVWzQoIHNnj072mMsX77crrrqKnvyySddhU6hcM2aNeG22bdvn+XJk8cmTJgQ6znfdddd9sMPP7jXiKpj48aNszvvvDPK7VVVq1Onjns/el+PPfZYuPfct29fa9myZbjXHDhwwJ3n3LlzA4+98sorVq1aNRszZozVqlXLtYBqv/PmzQvXfqjt/v3330CraK9evdxz48ePDzymc6levboNHTrULly4EHi92knVVhqXYwIAAAB+IpTFk4LA999/7z7cd+jQIVwVatq0aTZixAgXoBS4FFjmzJkT2Ebbv/fee9a/f39btmyZvfDCC/baa69FeRwdo379+tazZ08X5BREtCZM4SPYqFGjXNhr3bp1rOd+ww03WJkyZVzIEQWnPXv2hHsfnp9++snatGljTZs2de/no48+ssmTJ7vWTY/aHYNDmnd91EZ49uzZwGMnT5507/eLL75wYWrRokVWrlw5a9WqlQtx0rt3bxf6VIlUm6hu77zzjnuuffv2gcdWrVrlrp+unVpKo2tfDOWY0VG1bvv27YHbrl27Yr22AAAAQFwRyuLotttuc5WaDBkyuACkKtHzzz/vnluwYIGrQCmQ1atXz4oXL24DBw60Ro0a2XPPPRfY5ttvv3UhSiGoSJEibttZs2ZFOpaqRl27dnXbqkrmuf/++11lywtCCkAKS3fffbc7r1CoKqbqkehPvZds2bJF2k7n3aJFC3v22Wfd+2nYsKELhFOnTnUhLT6VxS+//NKuu+46K1q0qAuaWkOn4OQ9nz59ekuZMmWgKpYxY0b3XNq0aQOPqcKosKjr/+mnn17UMaMzePBg9/vxbqq4AQAAAAmNUBZHH3/8savUqH1QoUBrsbwKyu+//26pU6d2bXLBVOlavXq1+1mVGm3TuHHjWIddPPPMM/bjjz9GqmApGKZKlcoFM5k5c6Zt3rzZ7rvvvpDfx+233+6qTQomkyZNirJ1UW2NOm+df8T3kyJFCvf6uFIoypo1a+B+zpw53XvZv39/rK9VCFVIrFy5smtfVDh78cUX3XtPjGMq8G3bti1wW7p0aUjvEQAAAIgLQlk8B3147X8KWFpDJmof1Id9VXmCpUmTxj2nkKMpjno+4jYRqaojEdejeeegqpjXwqg/VcEqW7ZsyO+jYMGCLhgqnGl/N910U6RtvPPVewymc1coC25NjOq1UYnufYfytQIKnV9//bW98cYb9ttvv7lwrEpkVOP9E+KYCnJqo/RuSWEICgAAAC4/hLKLoFbBp556ylWa9D1m5cuXd2PnI1aQVGG5+uqrXZBRlUchIraqi74zTBWw999/3015jBggNIpf1ToN9lBw01qsuNLAjw0bNgQqb1GFGQW9iOeqwSNqmfS+D0whVe2AEUfsx5dCYPDwDo9aPPU+dW3UTqjj/vHHH/E+DgAAAJAUEMou0r333mu5cuWyN99801Weqlat6oKDpgeqOqb2Rg3G0FAKUaDQGP1u3boFwo227dGjR6R9a0S9pjIqeKkypqqVR1MQVd3SfvLmzetaKeOqU6dOdvDgwWiHjIjOW+uxNChD70fVqQceeMBNONRaOO881eY4Y8YMd1/thF71MD40yESDR3bu3BnucU2g1CRIDfJQsNWXYXstnAAAAEByRSi7SBpCoZDy+eefuxChAKYhFApNqqRpDdQHH3xg7dq1c9urWqbKltadqeVQQy00oVHBJiqqrGnCo8KZ1pYFf6m0Bn5o8mH37t0jtRiGwhumofbK6HTu3NlNP3ziiSfc+9HkQoUmtRHqvYimSz799NNuIqO2ufnmm6Mdrx+KW2+91QXOkiVLhhuJrwEqqsjlzp3btRZqfZ/3HAAAAJBcpQgLZTEPXEVLI9K1/ipiiFEFSUMogp/T9gpQsU1D1Ah3BbNgqgTpdZo26NG+NN49c+bMgQCmCpZaD1WZUjtfbFRdUohT0ImOvmdN+4/qvPVabzJidLTOTNdAf630PoLPV+9Vz2fJkiXS+1W4jXhdtQ9dcz3uTWD03ofOQfvVz7ou3uRIXSfdvMEecT1mTDQWX9d50JCRliNXbouPqkP7xet1gB8qzV/PhQcA4BKIe3nlCuVVlaKicBDxOW0fynj6iIFMohpNr7HuunkUAl999VUXykIJZKKQFxz0ohIxvAQLDkbR8UKOqmgRr4nea6jv19tHVM8Fv4eI7ynidYrrMQEAAIBLjfbFZEhBTGPdFYA0Oh8AAABA8kUoS4a0lkprqzQWPk+ePH6fDgAAAICLQPtiMqS1awAAAAAuD1TKAAAAAMBHTF8E4jh9cdu2bVa4cGGuGwAAABIElTIAAAAA8BGhDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAAAAAPAR31MGxNH4ybMsR67c7ueqQ/tx/ZAsVZq/3u9TAAAA/x+VMgAAAADwEaEMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8BGhDAAAAAB8xEj8RPTPP//YqFGjbPny5Xbs2DErVKiQlS9f3u655x4rWrSo+U3nVL9+fXv//fetRo0asW6/ceNGGzFihK1YscJOnTplJUqUsAYNGljXrl0tbdq0l+ScAQAAgMsNlbJEovCiALZlyxbr2bOnvfHGG9a6dWubO3eulSxZ0gUbv507d84FxsOHD8e67ejRo61ChQq2a9cue/DBB+3VV1+1qlWr2oABA6x58+aX5HwBAACAyxGVskSwaNEi69Wrlwtijz32WODxmjVruqrS66+/bidPnrTkYsmSJdajRw/3fvr27Rt4vHbt2nbbbbfZ888/7+v5AQAAAMkZlbJE8Oabb1rhwoXt0UcfjfL5p556yqpVqxa4P2zYMGvfvr3NmTPH2rVrZzfeeKPNnz/fpk6dalWqVHG3WrVquQA0a9ascPvyXqvt77rrLqtXr55rj/z7778jHXfBggVuW+3rzjvvdO2Iob4ftV4+8sgjkZ7LkSOHvfPOO+7nhDrf3377ze1j8+bNkdot1WY5efLkwGOrVq1yr9fxmjVr5vZ//vz5eF0fAAAAwA9UyhLBr7/+6lr6UqaMPvOmSZMm8POOHTtsypQptn79eld1Kl68uJUpU8a1Fw4fPtxtozVcixcvtrZt27p1ap06dQr3WgWYp59+2oWkt956y6310v4yZcrktlu6dKl7TBWvPn362Jo1a+ymm24K6f0oLMb0flKn/t9fIwWmhDjf66+/3g4cOGAff/yxvfbaa4HjjBs3zoUwrYMTtYCq+tilSxcbOHCgbdq0yQXelStXutfG5fpE5ciRI+7mUesmAAAAkNAIZQlMVZr//vvP8ubNG+7xGTNm2HPPPRe4361bN+vdu3fg/tmzZ+3bb7+1q666KtzrcuXKFa5dUOu/3n333UDIkQsXLrgqVYECBdz9smXLukqd2g4bNmzoHnvmmWescePG9uGHH7r7elyvC25HjMv7iYrONSHOV+FP10YVOoUtb4iIql6dO3d2wSq44qj1bp5s2bK5kPbwww+7NXChXp+oDB482B0fAAAASEy0LyawVKlSWbp06VylKFj16tVdFUm3devWuQpOsIIFC0YKZApEn332mXXo0MG156mlb+zYsZHaDjXJ0QscolZDnUdwZUeVMrX3BQtlQIf2o1AU8f1EJSHP995777WjR4/a119/7e4vXLjQVq9eHS7I6j21bNky3L51PywszJYtWxan40VFgXXbtm2Bm44HAAAAJDQqZYlAFRq1BwbLmTOnu0lUbYCZM2eO9Njjjz9uEyZMcC2N5cqVsyxZstikSZPsgw8+iLYVMpjCiReWjh8/HqlVL6pjRuWaa65xbYOxSajzFVXcVPFSdcz784YbbnATH4PfU8T3kCFDBhe4gtsOQzleVLJmzepuAAAAQGKiUpYI7rjjDjdYYu3atRe1ny+//NKeeOIJVx3SGihVnjTsIq4UUjSGP+L5/PHHHyG/Hw0JiW77H374IUHP13P//ffbvHnz3NcITJw4MVyVzHtPEcOvqpAKbKVLl473cQEAAIBLiVCWCBQmtJ6qVatWLswE03AKrR8LhapFasPTmihROBk5cmS8zum+++5zr/UqXgcPHgy3xi0mGgxSp04d9340vMOj9kKFMG/dVUKer6gyprZPtUOmT5/eVcwiXucxY8a4tWFy4sQJ69evn6vSaf0cAAAAkBzQvpgI1C43c+ZMF1b0hdGaTpgvXz7bu3evCw4aza6R9LF5//333WALDaVQW56+26xFixaBylRc6AuftSZL1StVmHbv3u3WbQWvvYrt/agtUevS1AapYRuadqjWxmeffTbBz9fzwAMPuErdQw89ZBkzZowUynQOGnNfpEgR27Nnj5UoUcJV1aJrWQQAAACSmhRhsS2swUXR5d2yZYtr48ufP7/lyZMn0jY7d+50lStvWmCwM2fOuOChdWgaBKLtNHSicuXKMb52+fLlLqB469g8Ci66FStWzK3H0vh4jd8Pde2UWgM1Xl7npdH9EYNSQp+vplZqIInaEq+++uooz0kVO52TJi/qfQWL6/Fisn37dhf+Bg0ZaTly5XaPVR3aL+TXA0lJpfnr/T4FAADw/xHKkGSpDVJr0xQY9V1jfiOU4XJCKAMAIOmgfRFJkiY5anLj6dOn3bAPAAAA4HJFKEOSpEmLWnen1koN+QAAAAAuV4QyJEkRv0gbAAAAuFwxEh8AAAAAfMSgDyCOgz40TVJj/wEAAICEQKUMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8BGhDAAAAAB8xPeUAXE0fvIsy5Erd+B+1aH9uIa45CrNX89VBwDgMkGlDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAAAAAPARoQwAAAAAfEQoAwAAAAAfXXGhbOPGjda5c2f7448/Ij03f/5899y+ffvMT6tWrXLncfTo0cBjv/76qw0ZMiTGbYLNmDHDunTpYocPH47xOixZsiTW8/n+++/t/vvvj9d7AQAAABCzKy6U7d+/37788kvbvXt3pOe2bNninjt+/Lj5adeuXe48Tp8+HXjs+eeft1OnTsW4TbBy5cq553WLysiRI23KlCl29dVXx3o+69ats++++y5e7wUAAABAzK64UJYcVKpUyb744gvLmjWru//bb7/Z3LlzrXbt2tFuE1GJEiWsXr169umnn0Z67sKFCzZ27Fhr165dtK8HAAAAcGmkvkTHSZa2bt1qTz75pPs5VapUVqRIEWvRooXVqVPHPRYWFmZ333233XPPPVa/fn332A8//OCCUN++fa1atWrusW+//dZmz55t7733Xqz7lD179rjX6PG0adO6UCYFCxaMdpuo6Lzuuusu27Bhg5UpUybw+I8//mg7duxwz4uqhqqcaTuFtFatWlmTJk1ivDaqJo4bN86dW6ZMmaxt27YuBIoC5LBhw9zP6dKls+LFi1vXrl2tbNmygdd/9dVXrnXygQcecPtRlbJkyZKuTTJ79uzhjhXK+R07dszGjBljy5cvt9SpU7vrou08Z8+edVXDRYsWud/bjTfeaLfddpv7HQAAAAB+olIWg2zZslmbNm3crVmzZpYyZUr3Yf+DDz5wz6dIkcKFrPHjxwdeo0A2adIkmzhxYuCxESNG2H///RfSPqNqTVQAUVUsT5480W4Tlfbt21uWLFkiVct0X5U0BclNmzbZNddc44JajRo1LEOGDO58XnrppWj3u337drv22mvdGjcFrauuuspeeOEFd45StGjRwHts0KCBC5Cq7CmYelavXm0fffSRNW3a1IXK6tWr29dff+2qgefOnQtsF8r56Vpo/wq92lbhTmFZLZ+ebt262YABA6x06dJWuXJlmzNnjt1+++3RvkcAAADgUrliK2WvvPKKC0vBFLCCqWKjYRjBSpUqZY8//rir8HiByduPKjA///yzCwQKEV6FRpWj999/P+R9RqTQo1tcZcyY0Tp16uRaFV9++WUXADX4QxW2/v37u1D5xBNPWIECBdx5e1WjYsWK2aOPPupCi8JbRHpOr1WVTCFJHnzwQdu7d6/7Wa8Jfp2uh4KXgpRCmufEiRNuXZtXQdNzquipmuVVDkM5P1Ul9b7Wr19vOXPmdNtUqVLFmjdvbvfee6+r1E2ePNmFQFXspEePHlGuKwx25MgRdwsOfwAAAEBCu2JDWa1ataxixYqRpi8uXrw43GP6oD9hwgT7999/XcvegQMH7ODBg676ky9fPhfKnn32Wfvnn39cMFDQUIVGYUEh5a+//nKtdY0bNw55nwlJLYoKjQo1Olevuqa2RlHFSAEnuI1PYUcBceHChVGGsunTp7sWTC+QefLmzRv4ecGCBTZ16lTbuXOnO56ujypswVRRC25pVDhVcAzeLpTz03H0Pr1AJo0aNXIBWOFYAeyGG26wt99+2wVVtVnmyJHD8ufPH+O1Gzx4sA0cODDWawwAAABcjCu2fVGte6pYBd+0zijiWHkFN613qlq1qrVu3drq1q3rnvNG0asiow/4+vCvmz7wK2zodT/99JN7TJMQCxcuHPI+E1LNmjVd8PFaGPVnw4YNXbXp/PnzLgzmypUr3Gu0bkvrsrzKV7AzZ8644BncShnRoEGDXFuitlU7otoYr7vuukjvL3369OHuq/qmm85LQjk/HUOh1/s6g+CbwqDaH0XTI3Ueb7zxhqu86fc2bdq0GK+dKnDbtm0L3JYuXRrj9gAAAEB8XLGVslAMHz7cbr31Vhs9enTgMW/dlEeVHYUcBbBDhw659U6iqpQC2Z9//hluKEUo+0xoah988cUXbdmyZa41UIM1ggeN6DvLgikwal2X1mZFpDZEhRpVAKMzdOhQe+aZZ1yLpGflypVxPu9Qzk/no4pX+fLlrWXLluG2UwjzKnFay/fcc8+5m0Klrod+Dxp4kjt37iiPr/DHdEoAAAAktiu2UhYKVWPUUqi1YqKqzeuvvx5pO4UutQeqWnPTTTcFHlMlRuuuglsXQ91nQrrzzjtdRUlfJq2QoTAS/JyqZwo6ovNSYNGkR7UARkXtgJqGGBy0FG4U+Lz3GLxeS6Hqk08+ife5x3Z+9913nzsX3Q+ulKmdUe9XIUyTGb0KnFoYVUHUNYlpUAoAAABwKVApi4EqPWrD00Q/DYtQ+5qmDkakAKZgoKBQoUIF95haEjUkQu143rj8uOwzIem8FBbVOtmzZ89wa8F0PitWrHDthQoqGnayb98+t/Ysc+bMUe5P1SatFdM0RLVgqlqldWAaKOINUVF1ToFU+1CFTi2bOk5chXJ+WtOn6ZZak6a2RIUufeG1hoaoIpkmTRoXmlW903noe9oUIPU+ChUqFO/rCgAAACSEFGFeyeYKoQ/vaivUpL+IQzX0gV8f1m+55Rb33Vui4R0a/nHq1CkXnjQ8YubMma5VLji0aJy72uC87+ryvrNM1RmvpdET2z5VZdKAC1W0ovsOslC2CaZ2w99//90FG615i2jt2rVuAIna/BS2FGw8asH8+++/w33vl2idlSpUeo2+ky047Cm0KUypvVPBTevJtK2+sFrWrFnjXq8JicH0/WUaj681b6Gen0drzPQ9ZforrXZGhd5gqlDqHHROCnlxHaqi4Kl2ykFDRlqOXP/X8lh1aL847QdICJXmr+dCAgBwmbjiQhkQX4QyJCWEMgAALh+sKQMAAAAAHxHKAAAAAMBHhDIAAAAA8BGhDAAAAAB8RCgDAAAAAB8xfRGI4/RFjfIvXLgw1w0AAAAJgkoZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4CNCGQAAAAD4KLWfBweSo/GTZ1mOXLndz1WH9vP7dHCZqjR/vd+nAAAALhEqZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4COmLyJKZ86csR9//NHWrFljYWFhdvXVV1vTpk0tQ4YM4babN2+eLV682Pr1S1pTCJPqeQEAAAARUSlDJCtWrHAhrG/fvrZ//347dOiQPffcc1a6dGmbP39+uG0XLFhg7733XpK7ikn1vAAAAICIqJQhnB07dthNN91k9evXty+++MLSpEnjHn/ttdese/fu1qxZMxfaFNCSsrp161rGjBn9Pg0AAAAgVlTKEM7rr79ux44dsyFDhgQCmfuLkjKlvf322+7Pl156Kcqr9ueff9qzzz5rR48eDff4hQsXbODAgYEq208//eSqWPv27bPx48fbK6+8YhMmTLCzZ8/a+fPn7dtvv3WPjRgxItK+vNf+999/9vnnn7vtJk2a5F4XTPdPnz4d7jG1Yf788882aNAg++CDD2zTpk389gEAAOA7QhnCmTZtmquSFSxYMNKVyZEjh6uUaZuoFC5c2IW5sWPHhnt8xowZLpTlzZvX3Z8zZ4698MILVqVKFbf2Sy2SvXr1statW1vDhg1t1KhRLhgqfFWvXt2tb/PotdpX5cqV3Zq3vXv32v333+/WuwUHs4jti4cPH3bVsy5dutjmzZvt77//tlatWrlzAwAAAPxE+yLCVZK2bt3qAk50SpQoYQcOHLAjR45Y1qxZwz2XJUsWu/POO23YsGHWp0+fwOO636hRIytTpkzgMa1Tmz59utWoUcPdL1++vPXs2dOefPJJV62Thx9+2AoVKmRTp061W2+9NfDagwcP2uDBg+3uu+929x966CH3+k8//dS6desW5Xlr4MeGDRvc4JJ8+fK5x06dOmX//vtvtO9V71E3z65du/jbAgAAgARHpQxRhrPoqBUxJqpa/fHHH4FWRYU8VaN69+4dbjuFLS+QyTXXXOP+bN++feCx/PnzW548eVxlK5jWit1xxx2B+1dddZU1btzYhbfoTJw40QU2L5BJ+vTpwwXFiBT8ihQpErhVq1YtxvcOAAAAxAehDAEpUqSw4sWLRwpBwfRcrly5IlXJPJraqBbE4cOHu/sfffSRC1dqFQyWOXPmcPdTp04d7eNaaxZMbZCpUqUK91iBAgXckJKoaG2ZKnNFixaN029b0ye3bdsWuC1dujROrwcAAABCQShDOLfccotbt7V9+/ZIV0Zti6p6tWzZMsar9sADD7jhGzt37nTrw3r06BEIXQlhz549kQZ7KJBpTVtU0qVL59bDbdmyJU7HUfDUPr2bgh8AAACQ0AhlCOeJJ55wYeTBBx8MN2BDIeiRRx5x1TR9Z1lMVBVTNatdu3ZuiIdCWUI6efKkC3ue9evXu6mKEatxwTTgQ68JXhd24sQJNzESAAAA8BODPhCOpi5qqmGnTp2sXLlyriqmMfg//PCDG4wxc+ZMt4YrJmotvO++++yZZ56xtm3buvVjCSlnzpz26quv2i+//GLZsmVzVTm1TGrISHQ0PEQBrGLFii68pU2b1k1+fPfdd13LJQAAAOAXQhkiqVSpkq1du9a1MWpaoQZ/vPPOO26CosJMKF/SrJAkEQd8SJMmTSK1Giq46fvPNNgjYuVOo/ODaZslS5a48KiWRFXAvPAY3XlpMqRC3Ny5c2358uUuzKniF13LIwAAAHCppAiLadQeEE8ab6/vCtMkRrU8JhR9ObUqY3/99dcl/91onZ2mMA4aMtJy5MrtHqs6tN8lPw9cGSrNX+/3KQAAgEuEShkS1Pjx412FbfTo0fbdd98laCADAAAALkeEMiSoNGnSWKlSpVybYM2aNRP86kbV+ggAAAAkZ4QyJKgOHTok6hWtV6+euwEAAACXC0biAwAAAICPCGUAAAAA4COmLwJxnL64bds21rUBAAAgwVApAwAAAAAfEcoAAAAAwEeEMgAAAADwEaEMAAAAAHxEKAMAAAAAH/Hl0UAcjZ88y3Lkyh3y9lWH9uMaJ3GV5q/3+xQAAMAVjEoZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4CNCGQAAAAD4iOmLSdz58+ft999/t02bNlmaNGmsePHiVr58eUubNq0lBWvWrLH169db+/bto3x+69atNnv27Bj3kT59euvcuXMinSEAAACQtBHKkrDJkyfbo48+6oJZtWrVLEWKFLZkyRI7e/asPf744+7mt2nTptnw4cOjDWX79u2zOXPmBO6vW7fOli1bZrfddpulTv2/v35ZsmSJMZStXr3aNmzYEO0xAAAAgOSMUJZETZo0yTp27GiDBg2yvn37WqpUqdzjFy5ccCFo5MiRSSKUxaZKlSr26aefBu6/++67LpTpPWTOnDmkfXz//fc2YsQIQhkAAAAuS4SyJOjMmTP28MMPuxDSr1/4Lx5OmTKl9enTx2rWrBnu8QkTJti1115rOXPmtEWLFtm5c+esQ4cOrpKlapXouYoVK1rJkiWjfG3evHltxYoVdvLkSatevbrlz58/0rlpX3PnznXnEfEcLsY///zjjq3qWd26dS1XrlyB9siVK1fasWPHAuHuqquusjp16gReu3z5cldJy5o1q3tcf3r02i1btlirVq3c/vWz3v8NN9yQYOcOAAAAXAxCWRKkULVz507X4hedSpUqhbv/wAMPWIUKFVzoUODQ2jOFMgURBR7Zv3+/W9/Vq1cvGzx4cLjXKqz9+++/br869tq1a+27776zhg0bBrabMWOGq96VLVvWChUqZA8++GCkgBdXasXs0aOHC4b169e306dP21133WVffPGFtWjRwp3T5s2b7dSpU4E2SIVWha/jx49b69at3XtUkNN22l77atq0qdv266+/tk8++cRef/11y5gxo+XIkcNmzZplnTp1ctVGAAAAwG+EsiTo77//dn+WKVMm3OMKRXv27AncV0BS0Ah+nYaCqOLlee6558Lt46+//nLBq02bNi7IeLZv3+4qTgotokCn13qh7MSJE9a9e3e75557bMiQIYF9XX/99eGOF1cvv/yyff7556765lXe3nrrLevWrZsLkwpmqnapfTG4DdJ77apVq9ytSJEiFhYW5gKeQp1XOZO9e/fa+++/766X/Pzzz9a4cWN75JFH7Jprron23I4cOeJunl27dsX7fQIAAADRYSR+EqTWQ/EGYXgUTlQtGjVqlAtHBw4cCPe8KmtRBSRVj6ZPn25jxoyxxYsXW+7cud3AkGBdu3YNBDJR1UpTFT06ripo/fv3DzxWrly5i17npbClABjcCvnQQw+5KpgqdTEZP3683X333S6QiQahKEgquP7yyy+B7fLkyRMIZFKvXj23bfD7i4qqidq3d9OwFQAAACChUSlLggoXLhyoXpUuXTrw+NNPP+3+HDdunM2bNy/S6woWLBjpMa0/++yzzwJrxDRKX62Aqh4F03qzYOnSpXPbedQWqdH1BQoUCLed2hd//fXXeL1PtSEq6CmERqyCaSLjxo0bo32tJlJu27bNrS8LVrRoURdm1coY3XvT81oTF/z+oqIBK6oOBlfKCGYAAABIaISyJKh27dqWIUMGV91q0KBByK9T9SfYwoULbdiwYW7NVeXKlQOPe61+caEKnEKMBm4ET03UOrX4UkBU+6XCVfDYfLnpppusVKlS0b5W0yg1DCTi8Q8dOuRCXr58+exiqf0xeGgIAAAAkBgIZUlQ9uzZ3bj7N99807UHqsoVH6qGKagFV5M06EMVuLhSe6EqZRrAoXVbohbDb7755qK+yFqDOhT0Ro8eHS5UKlxp/L8oGGkiZESNGjVyQz2eeuqpQKvn2LFjXZWvVq1a8T4nAAAA4FIilCVRAwYMsMOHD7v1T+3atbMaNWq4ljsN81D7otoaM2XKFOM+9Fq1LGpYRpcuXdzaso8//jhe1R+1Rmq9liY1ai2Wpi9qjdrFeuedd9zQDZ3rLbfc4ipn+oJpDTXROH+1HioQKmAqfGkdmzcSX9/hpsCq12rNmFoWP/zwQzcApFixYhd9bgAAAMClQChLotSe995779n999/vvjxZQUXVILUefvXVV24QR3BlSaGrfPny4fahwR1qXdQwDU1lVEDTWjR9MbXCTUyv1eTH22+/PdxjWtOmyY0KS5s2bbKXXnrJnYOqb6HScTQdMU2aNO6+2gw19VGj6zWERG2Vmoj46quvWrZs2QJfQP3TTz+5oKYpjd5IfAWvP/74w62Z0wh/ba8BH8HfYabpkFp/FpHOIeJ6NAAAAMAPKcLiurgIuEKp7VOheNCQkZYjV+6QX1d1aPgvAEfSU2l+zJM4AQAAEhMj8QEAAADAR4QyAAAAAPARoQwAAAAAfEQoAwAAAAAfEcoAAAAAwEdMXwTiOH1x27ZtVrhwYa4bAAAAEgSVMgAAAADwEaEMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8FFqPw8OJEfjJ8+yHLlyu5+rDu3n9+kgnirNX8+1AwAASQKVMgAAAADwEaEMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8BHTF5OhlStXWsaMGa1s2bIJts/FixdbsWLFrECBAuaH/fv3219//RXjNmnTprVq1apdsnMCAAAALgVCWTJ0xx13WMWKFW3ChAkJts+bb77ZXn75ZXvggQfMD6tWrbIBAwYE7u/YscO2bNliNWvWtBQpUrjHcuXKZd99950v5wcAAAAkFkIZkoRGjRq5m+ett96yfv362c8//2zp06f39dwAAACAxEQou4xs2LDBDh8+bCVLlnRVpahaBP/9918rWLCg5c+fP8p9XLhwwTZv3mynT5+20qVLW5o0acI9P3/+fLv66qvD7V/71L6vv/76cJWvo0ePup9z5szpzuliwtXx48dd26aOce7cOfdes2XL5s5RTp486dofU6dObRUqVLCUKSMvlwxlGwAAAOBS41PpZWD16tUuKN1444127733utDVs2dPO3v2rHteIebOO+90a8Z69OhhVapUsQYNGti2bdvC7efXX3+1MmXK2K233uqqVgo8f/zxR+B57adOnTo2e/bscK8bNWqUde3aNdxj77//vj311FPu1rZtW8ubN68NHTo03u/x77//dsd+9NFH7aqrrrI+ffrYxIkT3XNqu8yTJ4916NDBWrRo4Z5fvnx5uNeHsg0AAADgByplyZyCV8eOHa1UqVKukqRq1G+//Wb169d3oUotgNOmTXMBRsGmcOHC7nXz5s2z7du3W5EiRcKFMlXCtK8zZ85YkyZN7Mknn3Svj6sRI0aEuz9z5ky75ZZbXLC65pprLiqA6n1kz57d3f/www/tueeesy+++MI6d+7sHnv44YetU6dOgapYKNtE5ciRI+7m2bVrV7zPGwAAAIgOlbJk7pdffrH169fbm2++GWgPVCVMlbFhw4YFgpuGZZw6dSrwOoWjGjVqhNtX9+7dXSDzJh22bt3afv/993ifm46nc1u4cKFlypTJ8uXLZ3PnzrWLocqbF8jknXfesZYtWwbClrzyyituUMiUKVNC3iYqgwcPdqHVuzH5EQAAAImBSlkyt3HjRlfpiTgeX9MZP/roI1fxatOmjbVv3949pjVZtWvXdvcjhoyI68w0dl9rueLjjTfecMFHAUphTCHv4MGDtnPnTrsYJUqUCPyssPnPP/9Yw4YNXYUvmFoVVQULZZvo9O3b1wXV4EoZwQwAAAAJjVCWzGnYhdZ6aYiFqlEetd0pVCkMyZgxY9w6LwUTtRKqUqYKktZmhcobTR8WFhbucQW/YFqrpbbH6dOnW7NmzQKPa02bBolcjODhHAqjen9a47Zu3bpw2xUtWtQyZ84c0jbRyZo1q7sBAAAAiYlQlsypcqOg8v3331uXLl0Cj6stT4M/RFMQs2TJ4gKchlzotnfvXvv222/jFMpSpUrlqkv6/rBgCxYsiFS90zk1btw48JjWu0UcLHKxFBI1kEQVPg0bCXb+/Hk3QTKUbQAAAAA/EcqSOU1LfPDBB613795uLL1Gz48fP96FIK3lktGjR9vUqVPdQBC1/yk0qVr2/PPPx/l4Wpel7xBTS2Lu3LndF1hrsEjwwJBatWq5Kt0999zj1rZt3brVBg4cGKjaJaR3333X6tat647VqlUrd1xVxEaOHGljx461ypUrh7QNAAAA4BdCWTKk6k7w94epDbFSpUquWjZ58mQX1JYtW+a+i0seeugh9/OXX37pbgpUCiQafe/R0A+N0g9WoECBSMNAFMg0wVH7UeufJjTWq1fPDRzx6HkN9Hjvvffs9ddfd/vR8RTgihcvHtJ71D4U7rx2RR1L94NbNEXvdc2aNTZ8+HA38VGtleXLl7dvvvnGPRfqNgAAAIBfUoRFXCCEJB/I9GXMjzzyiBukgUvH+wqBQUNGWo5cud1jVYf241eQTFWav97vUwAAAHColCUTGuah6tO4cePcYI3g8e4AAAAAki++pyyZ0Gj6l19+2bXzLV68+KK+gBkAAABA0kGlLJnQ5ESNdQcAAABweaFSBgAAAAA+IpQBAAAAgI+YvgjEcfqivgRbI/sBAACAhEClDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAAAAAPARoQwAAAAAfMSXRwNxNH7yLMuRK3e4x6oO7cd19EGl+eu57gAAINmjUgYAAAAAPiKUAQAAAICPCGUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilF2h9u/fbwcOHIjyuTNnztju3bvt9OnTlpQdP37c9u3b5/dpAAAAABeFUHaF+vjjj61w4cK2YcOGSM/dc889VrVq1SQfyt5//32rXLly4D4hDQAAAMkRoewK9eSTT1rFihVdALtw4ULg8SlTptj48eNtxIgRljVrVkvKMmfObHnz5g3cf+edd1yYBAAAAJITQtkVKlWqVPbZZ5/Z8uXLXZiRgwcPWq9evax79+7WtGlT91hYWJh7PKaqmdodT548GePxjh49aidOnIj0+LFjx1wrpefw4cPumMH0WHBw9ChQzpw5M1Al077Onz/vWi910+tCPQ8AAADAL4SyK9jVV19tL774oj377LO2fv16e+SRRyxNmjT29ttvu+ffeusty5cvnxUqVMhVpVq0aGHbtm0LvH7ZsmVWpUoVV1HLnz+/XX/99TZnzpxwx5gwYYKVKVPGcufObdmzZ7eGDRva1q1bA8+//vrrVq1aNevTp487lvajP7/66itXsStSpIhrs9TxtW107YujR4+2Dz/80Hbu3GmVKlVyt2eeeSbk8wAAAAD8Qii7wj322GMuwNx88802duzYQNuifu7fv78NHTrUVaEUYFTRateuXaCSdccdd7hQporUoUOH7NNPP7VffvklsO9JkyZZly5d7K677nIVKlXccubMGW4fsnnzZle50zG0nap02rcqeAsWLHCPKXTpfFauXBnl+3jggQdcS6ZCnFcp++CDD+J0HhEdOXLEtm/fHrjt2rUrAa88AAAA8D+EsiucwpDC1JYtW+z222+3Jk2auMffeOMNF2Tat29vKVKksIIFC7rKlKpjs2fPdtvs2bPHypcvb+nSpXPbXHvtta7y5nnppZesTp06rmKVNm1ay5Qpkw0bNsxWr15tP/74Y2A7VcEGDx5s6dOnt9SpU9u9997rWiL1+qJFi7ptOnXq5MLi4sWL4/weQz2PiHROCnneTRU9AAAAIKERymBly5Z1V0HtfaL1W5rKGHFohtoTFeL+/PPPQNh54oknrH79+vbCCy/Y/PnzA9ueO3fO1qxZYzfeeGOgcqWb1nypHVGByKP2SLVNerJkyeL+LF68eLjj6/Go1onFJC7nEVHfvn1du6Z3W7p0KX9bAAAAkOBSJ/wukdyp6qWQpGpVxICjwKZqk9cyqGrazz//bPPmzbM2bdq48PP999+7feim0ftjxoyJdAy1EV6q9xLf81BlLqlPoAQAAEDyRyhDJAox1113nWtT1Jozj+5rDZbWoOlPbZcrVy7r2LGju7Vt29YaNWpk//zzj5UuXdpq1Khh1atXDwwOCRbVNMWLpTZKBcdgquxd6vMAAAAA4oL2RUTplVdesRkzZtiAAQPcZMYffvjBevfubbfeeqtra1SFSUM+NCFRz6ulUcNB9L1hWn/lTW/85JNP3L7UQqiwpu9Ba968uS1ZsiRR2jDVmqgJkMEj8S/1eQAAAABxQSiDozH0Grjh0ToxhbKFCxe64R/9+vWz2267zcaNG+eeV1ufgo62ad26tZtkqHVac+fOdQM7RK2MixYtcuvTNDCkWbNmNnLkSHv44Ydd9cpbJ5YnT55wvwW1Tup8NPQjmAJf8DlG/PLoli1b2qOPPuraKjUq3xuJH8p5AAAAAH5JERbTTHAAARqLryrgoCEjLUeu3OGuTNWh/bhSPqg0fz3XHQAAJHtUygAAAADAR4QyAAAAAPARoQwAAAAAfEQoAwAAAAAfEcoAAAAAwEdMXwTiOH1x27ZtVrhwYa4bAAAAEgSVMgAAAADwEaEMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8FFqPw8OJEfjJ8+yHLlyR3q86tB+vpxPclVp/nq/TwEAACBJoFIGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZZfAf//9Z5kzZ3a3GTNmRHr+vffec88VLlzYkuN70i1PnjxWuXJle+211+z06dNx2tfgwYOtbNmycT6H+L4OAAAASEoIZZdAWFiYHT9+3NKkSWOffvpppOdHjRrlnjt27Jj5acOGDS5grVy5MuT39Morr9ju3btt3bp11q9fPxswYID1798/Tsc9c+aM21dcxfd1AAAAQFJCKLuEOnXqZN9//70dOnQo8Njvv/9ua9eutXbt2pnfLly44ELO+fPnQ35NunTpApWyrl27WuvWrW3SpElxOu5jjz3mAmFcxfd1AAAAQFJCKLuEateubQULFrSvvvoq8Nhnn31mN910k+XPnz/S9hs3brSOHTtagQIFLG/evHbLLbfYqlWrAs/PmTPHBSK1EgZr1qyZPfLII4H7a9ascduNHz/eWrRo4dok1fb36quvBrbZtGmT3XDDDe7nunXruu1z584d5/eoil9w9erzzz8PtDjmypXLHWPIkCEuAHref/991/roeemll+z66693FcTq1atbvnz5rEaNGu79Bov4Olm0aJE1b97cvaZQoULWs2dPO3z4cKR9f/zxx1ahQgXLnj27/fDDD3F+nwAAAEBCIZRdYnfeeaeNGTPG/Xzu3Dn74osv3GMRHT161OrVq+f+/OWXX2zhwoWWKVMmF5jULui9XgFIrYTBTp48aadOnQrcV+VL2z311FP24IMP2ooVK1zb4fPPP29ffvml26ZEiRI2b9489/PMmTPdMbZu3Rry+1LI0nl+99131rlz53DVQe1Lt/Xr19vAgQPdsRWoomtD1Jo0tVB+8803Lpjp5+uuu87atGkTLoBGfN2vv/7qrplC7IIFC2zWrFmurTL4fLx9T5w40SZMmGDbtm2zJk2aRPmejhw5Ytu3bw/cdu3aFfL1AAAAAEJFKLvEFMBUzfnnn39c+FGAUstfRMOHD3ehQNWtq6++2kqVKuXWo2XIkMHeeuuteB170KBBdvPNN7uqW/v27V2A+fHHH91zKVKksIwZM7qfdQxVthQCY6OKnLZNnz69NWrUyLp06WLvvvtu4PnUqVMHKmWqvLVs2dL69u3rKoSxtUUqNKmapeqiBoio4rVs2bJoX6O1bLpWn3zyibteeu3YsWNdOFOo9aRKlcpd12uuucayZMni7kc3SKRIkSKBW7Vq1WK9HgAAAEBcEcouMVWk1MaoapmCidoTFYIiWr16tV177bWWI0eOwGMKPgoGei4+FFKCaR1YxNbH+AQ9VcEUMnv06OEqb6qIeVTpU1hSAFL7osKZhoFs3rw5xv0WLVrUbevRdVB4iu58ValbsmSJtWrVylKmTBnuemtfS5cuDTymgKX3HhuFR1XSvFvwPgAAAICEQijzqVo2evRomzJlSpSti17LYVQVHFWe1LYYk4jtjJ7gsBLbtnEd9KGgo+qeQtB9990XeF5ruvQ+tY7sjz/+cAFO7Ytnz56Ncb9RnWtM56tQptubb74ZblS/bv/++69rPww+51BkzZrVrb/zbmqLBAAAABIaocwHHTp0sP3797sP+aqaRaV8+fIuxJw4cSLwmMLY8uXLAxUvr4oWPM1RwURVq/hQ4PP2ER8KUi+88IJbzzV79mz32M8//2y9evWyBg0auPerkBQ8rCSh6NxVjVN1y1vD5t3U9hg81AQAAABISghlPlAFRm14GkKhtVxR6d27t3tOVaeDBw+6NkCNgN+7d68LHqL1U1qnpeqQBntoDdrjjz9uO3bsiNd5aVqhpif+9ttv8X5vGsZRpkwZe+ONN9z90qVLu+EfBw4ccOeo9V6ayJgYNFnxww8/tGnTprkqo9pC1Xb49NNPJ0oQBAAAABICocwnCgxaIxYdrb/SIBCtvdJgDlXFNKxi+vTprkVQNJhDwzA0dVADKxTSFKo0Rj6+56QhIlrzpXOLz0h8VcsUDDVmXkFoxIgRrtqnEfXZsmVza+n69OljiUHryfR1A2qVVPDVNVFVUuP/Nb0RAAAASIpShF3soiKE5NixYy7oeC2CEWm8u9ZZRTXxUOvL9GuK7rUR16BpoqPCkbd2Su2ICkYKccFrtTQeXvuNKhzqObVLxjSBMbr3pH1qVL2Or5Ao2peOrZt+1v69fet96+ZNf9S10DbefY+3T+94EV8XTO9Z5xFxXV50+w6F1qVp7dygISMtR67IgbXq0H5x3ueVrNL8/xsIAwAAcCWL/lM+ElTwJMGopE2b1t2iEt3I9ui2iTjNUUEoquPHNPBCz8U2ECO696S2y4jPBQc3/Rx8X8HNC28xXYuIATHi60IZFBLTdQYAAAD8QPsiAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4COmLwJxnL6o7z4rXLgw1w0AAAAJgkoZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4CNCGQAAAAD4KLWfBweSo/GTZ1mOXLmt6tB+fp9KslRp/nq/TwEAACBJoVIGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZbgoGzZssCeffNIaN25sN954o7Vr186ee+4527x5c7jtRo8ebU2bNk3Qq50Y+wQAAAAuNUIZ4u2jjz6yihUr2u7du+2hhx6yIUOGWKdOnWzx4sVWqlQpW758eWDbPXv22Nq1axP0aifGPgEAAIBLjS+PRrwsWLDA+vTpY4MHD7aHH3448Hi1atWsY8eO9tZbb9mpU6cS9eree++91qpVq0Q9BgAAAJDYqJQhXhS6ihYt6ipkUXn88cetevXq0b7++++/t0qVKrmbtlOFbfr06ZG227Jliz366KNWp04du/nmm+3jjz+2sLAw99y0adPccxG31znVqlXL6tWrZ2+88YadPXs28PyHH35obdu2tZ9++slat25tVapUsXnz5vG3AAAAAL6hUoZ4+fXXX61ly5aWIkWK6P9ypY7+r1ft2rXt008/dT+roqaWxw4dOtiIESOsS5cu7vFVq1a5YKVttW4tXbp0NmnSJBfKevXqFal9UT9r2xtuuMGtazt9+rT169fP1q1bFzjWrl27XJjbtGmTvfDCC1a8eHG76qqrojzHI0eOuJtHrwUAAAASGqEMcXb+/Hk7cOCA5cmTJ9zjqnQ9/fTTgfs9evSw+++/P8p95MyZ0908GhKifb733nuBUPbYY49Z6dKlbcqUKYHw16RJExe2oqvO5ciRw4UuBThR6Lr++uvdvq655hr32Llz52zy5MlWsmTJGN+nWjMHDhwY4lUBAAAA4odQhjhLlSqVCz0nT54M93iNGjUCFamaNWvGWFlSMPrss89s6tSptnPnThe0FMq8faoapmrciy++GKka5wWuYNr+l19+cevbgp+/7rrrrECBAm5fXigrVKhQrIFM+vbta927dw/c1/vRmjkAAAAgIRHKEC8KOGvWrAn3mKpUuknKlCljDTxff/21ayEsV66cZcmSxb766is3wdELbVoLljlz5pDOR9ufOXPGxo8fb7NmzQr3nMLe1q1bA/czZcoU0j6zZs3qbgAAAEBiIpQhXu644w575JFHXDDzKlBxMXHiRLdOTC2Onk8++STwc5o0adxar+Cx+jHR9qp+NW/e3Lp16xbp+YitlgAAAEBSwfRFxEvv3r2tfv36biT93Llzwz23dOnScBMPo6KQpOEeWp8maj0cOXJkpDVi48aNcxU1j16jNWNReeqpp9y22qc32bFs2bKudVHVMgAAACApolKGeFFlasaMGfbyyy+77yW7cOGC5c2b1/bu3etCkapVd999d7Sv12h6jcHXeq8MGTK412hEfXDguu++++z48eNuXZd+Tps2rRvcobVoUVHVTWFQUyHVPpkxY0Z3Pvo+s5jOBQAAAPBTijDvS5+AeNJfoe3bt9uxY8csf/78gXVlwRSO9u/fb+XLlw+3DkzfK6YAVaJECTt48KDt2LEjUjukttMI++zZs7vgF9M+vfPRfvWnQlzw+rbdu3fboUOH3Dq2uNJ7LFKkiA0aMtJy5MptVYf2i/M+YFZp/nouAwAAQBAqZbhomo6osBIThangQOX+8qVObaVKlYp2TH7wdmXKlAlpn975KORFRaFRNwAAACCpYE0ZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4COmLwJxnL64bds2K1y4MNcNAAAACYJKGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+Ci1nwcHkqPxk2fZTV8OsitRpfnr/T4FAACAyw6VMgAAAADwEaEMAAAAAHxEKAMAAAAAHxHKAAAAAMBHhDIAAAAA8BGhDAAAAAB8RChLJt577z3r3r27nT17NtJzkydPtk6dOtnevXtj3Me3335rvXr1ivY+AAAAgEuPUJZM3HLLLTZhwgR75ZVXwj2+e/duF9YKFSpkefPmjXEff/31l02bNi3a+374+uuvrU+fPr6eAwAAAOAnQlkyUbJkSRs0aJC9+uqr9vvvvwcev++++yxXrlyRwlpy8eeff9r06dP9Pg0AAADAN6n9OzTiShWlb775xu666y777bffbOLEiTZlyhT79ddfLUOGDHb06FEbPXq0LV++3FKnTm0tWrSwW2+9NU7H2Llzp33yySe2YcMGy5o1q7Vq1cqaNWvmntuxY4c9/PDD9sYbb7iQKB9++KHNnj3b/ZkvXz732Ntvv+3+fOyxx+zMmTM2fvx4W7RokYWFhdmNN95od955pzs/tU+q+rdv3z5r3769e03dunXtoYceivVcRK/Vfh988EEbO3asbdmyxZ2X7ufMmTPc+0qIawMAAAAkBiplyUiKFCls1KhRtnnzZnvkkUdceHn00UetVq1aLjBdd911NmzYMKtataqVL1/eevbsac8880zI+//nn3/smmuusXnz5lmDBg0sR44c1qZNG3vhhRfc8wUKFHABLLiyNWTIEBeufvzxx8Bj77zzTuDne++911XxtN8aNWrY4sWL7fbbb3fPXX311e7xTJkyWefOnd1N24RyLvLHH3/YyJEjXcBSaKtXr54LqbVr1w639i4hrg0AAACQWKiUJTPFihWzN99807Utli1b1l5++eVAVerYsWO2YsUKy549u3vs+uuvt6ZNm7o1ZyVKlIh130888YQVKVLEZs6caalSpXKPFS1a1IU/VbdUhWrUqJH99NNP9sADD9i///5rGzdutHvuuceFMoWtdevWuRDUpEkT9/rvvvvOPvroI+vatau7r21VGROdf4UKFVy1y6uUxeVc5OTJky6IlSlTJlBpK126tAt/derUuahrc+TIEXfz7Nq1K06/KwAAACAUVMqSIW9iokJQ+vTp3c9Tp061Ll26BEKHqMKkNr7gKlZM5syZYx07dgyEINE+VXVauHChu6+wpe3Onz/v9qtwo8mP3jH0pwaOqMolqkyp3XHSpEmBMJYnT54EORdRcPMCmVx11VWWMmVK27ZtW+Cx+F6bwYMHu/17t2rVqoVwFQEAAIC4oVJ2GdC6rePHj9vcuXMjVZxOnTrl2h1jo5B16NChSGux1BaoNVheoFIoO3z4sC1dutQFmptuuslVpA4ePGhr1651jzVu3Ni1WopaG7XeTG2OqnApQL344otufdjFnot4odSj4+p24cKFi742ffv2dZW04EoZwQwAAAAJjVB2GUibNq1b73XttddGCjtap6V2vtioIqX2wL///jvc4wot586dC7QLFi9e3EqVKmWzZs2yn3/+2bVRKhhpHZfG6yv8KIAFB6n+/fu7m0LQSy+95MKRhnjkzp07EN7icy6JfW107roBAAAAiYn2xctE7969bdmyZa5qpdDj3TJmzOgGaYRClSxNKNy0aZO7r2qTBmvoO9BU/fKoWjZ06FC3nqtmzZqBxzR1UWu3vG1PnDjhBpMoSInCmypNakFUBUvU6njgwIHANnE9l0t1bQAAAIDEQqXsMqFJgmohVOWncuXKLnBo6IYqRCNGjAhpH6pmrVq1yk0q1Oj6rVu3ukEXX375ZbjwogCmSYbNmzd3lSjvsSeffNIN79D6K0mTJo0tWLDAnnvuOTfxUMFK4WjgwIFWsGBBt03Lli3duWvtmdaDeSPxQz2XS3VtAAAAgMSSIkxfHoVkR4MzKlasaOXKlQv3+H///eemDOrXqiBUuHDhwHPr1693o+YVpqK6H7ydbtmyZbPq1atHWrelNVozZsxwx9Y5iI6n71BTJUshKtj+/fvdF15rAIeCkNoWg6m6pu9d07mrbVEBLZRz0Ro2TXrUurZgOo8qVaq4fYV6bUKxfft2FzgHDRlpN305yK5Eleav9/sUAAAALjuEMiBEhDJCGQAAQGJgTRkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZQAAAADgI0IZAAAAAPiI6YtAHKcvbtu2Lc7j9AEAAIDoUCkDAAAAAB8RygAAAADAR4QyAAAAAPARoQwAAAAAfEQoAwAAAAAfpfbz4EByNH7yLMuRK3e0z1cd2s+Sskrz1/t9CgAAAAhCpQwAAAAAfEQoAwAAAAAfEcoAAAAAwEeEMgAAAADwEaEMAAAAAHxEKEtCTp48aV9++aW9+uqr9s4779jcuXMjbTNr1iwbPHiwXU5OnTplTz31lG3YsCHB9305Xi8AAABcXghlScSSJUusePHi9vrrr9uRI0ds9+7d9tJLL9m1115re/fuDWz366+/2scff2yXWygbNGiQbdq0KcH3fTleLwAAAFxe+J6yJOLxxx+3okWL2uLFiy1VqlSBx9euXWtp0qTx9dwAAAAAJB5CWRLx33//Wbly5cIFMqlQoUKU2x86dMimTJliW7ZssZIlS1rHjh0jhbcLFy7YDz/8YMuXL7fUqVNb8+bN7brrrgvX2vfHH3/YvffeG+O+9PqJEye6n9OlS+cqeq1atbJcuXLFeV/euU+YMMF27dplV111ld18883RtnN+8803rq0xa9as1qJFC3eN4nJecbleAAAAgB9oX0wiOnToYN9++611797d/bl9+/Zot92zZ49Vq1bNFi5c6IJL//797aabbrKwsLDANmqBrFOnjt11110u8P37779Wo0YNGz58eLjWPrVIxravtGnTWvbs2d0tRYoUbt1b6dKl7ffff4/zvhTEFAx1HmfPnnWhql69epHeo1o21br58ssv2+nTp117Z8WKFW3kyJFxOq9QrxcAAADgFyplScQLL7zgAsWYMWPs9ttvt+PHj9s111xjAwYMsHbt2kWq+syYMcNuvPFGd19Vn8qVK9vSpUutevXq7rEnn3zSVq1a5apXqiCJwk+PHj3c/vLkyRPyvnQeugVT2HvmmWds2rRpcTqvZ5991jJnzuzaNNOnT+8e69Wrl/3111/h9q/gdO7cOVu5cqXb3rtGjzzyiKuY5c+fP0HPKyoKtroFB0oAAAAgoVEpSyJU6VEYUxuggoBa80qVKmXt27d3lbNghQoVCgQMUUUpZcqUtnnz5sBjqhp17do1EMikU6dOrmVv6tSpcdqXbN261T766CMXEjUpUdWn1atXx/m8FJbuvPPOQCCT++67L9L1mD59utvOC2TSp08fO3bsmKvKJfR5RUVTG4sUKRK4qdoGAAAAJDQqZUmQAsP1119vX331lZUoUcK17LVp0ybwfHBQ8bZXqFNlSdTud/DgQdu4caMLKsG0Zi14ymFs+xJV73r27BlY06V2wYwZM7pjBIttX+fPn3dtiapyBStQoEC4+9pO4Sri43nz5nVr47zWzoQ6r+j07dvXtZMGV8oIZgAAAEhohLIkQgFKlbFgCiAKJvv374/TvjT0IkeOHJYpUyYXVII99thjVrVq1TjtT2vF9LpXXnkl8JgqU6rqxYUCoQJZxPVyEe9rO73viI8rFClIaUplQp5XdDRcRDcAAAAgMdG+mER07tw5MEnQs27dOteKpwEdcaVWSA34ePTRR121zLu1bt3aypYtG+fvEQueCqn9jho1yuJDFb9PP/3Ujh49Gnjsvffei7Rd27Zt7bPPPgtX9dJ2Cpn169dP8PMCAAAA/EKlLIlo0KCB3X333fb222+74RNq8/v++++tZs2a9txzz8V5f/oyZq0hU/VNkwbV1qeQt2/fPjcaPi7UxqdA988//7hWQL1elbiIbYKhGDhwoP3000+uPVPntWbNGjcRMSJVwebPn+8GcjRr1syt/5o9e7YLarlz507w8wIAAAD8QihLIt588003NXDevHkugCi09OvXz/0ZrGnTplasWLFIr3/11VddgPFkyJDBhTpNL9SkQ41/19TFunXrujVVcdmXqm163aJFi9xrNXBDa7IUruJ6Xpr6qJH13333nWtH1OsaN25sQ4YMCVfBU7j67bffbObMmbZ+/XqrUqWKjRgxwgoXLpwo5wUAAAD4JUUYX9YEhERr3DSFcdCQkZYj1/+qdVGpOrRfkr6ileav9/sUAAAAEIQ1ZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4COmLwJxnL64bdu2cKP5AQAAgItBpQwAAAAAfEQoAwAAAAAfEcoAAAAAwEeEMgAAAADwEaEMAAAAAHyU2s+DA8nR2rZ1bX+6NIl6jErz1yfq/gEAAJB0UCkDAAAAAB8RygAAAADAR4QyAAAAAPARoQwAAAAAfEQoAwAAAAAfMX0RCeKvv/6y+fPnu59TpkxpmTNntsKFC1ulSpUsY8aMvl/l1atX29q1a61Lly5R3gcAAAD8QqUMCWLOnDnWo0cPmzt3ri1cuNAmT55sffr0sTx58tj9999vR48e9fVKT58+3fr16xftfQAAAMAvVMqQoN555x3LnTt34P7ixYutXbt2rjKl4JYqVaokccWvu+4669q1q9+nAQAAABDKkLhuvPFG+/jjj61ly5Y2adIk69SpU7jnN2zYYMuXL7fUqVNb/fr1XWXNo8c3b95sbdq0sWXLltmWLVusZMmSVr169XD7+Pvvv12FTtKlS2fFixd3x02TJvoveC5UqJBVrlw5wd8vAAAAEFe0LyLRNW/e3LJnz+5aBj1nz56122+/3VWsPv/8cxfcFLi+//77wDZqgVTrowLW888/7+43btzY7rrrrnD737dvn6vI6TZz5kzr3r27XXPNNS7ERYf2RQAAACQVtC8i0aVIkcIFruCQNHDgQPvyyy/dcBCv8qXWRwWqTZs2uUEhsnfvXhs2bJjdeuut7v7s2bOtYcOG9thjj9m1117rHqtZs6a7eS5cuGCtWrWy/v372xdffBHv8z5y5Ii7eXbt2hXvfQEAAADRoVKGS0Jryc6fPx+4P2rUKOvYsWO4VsQHHnjATp06Zd99913gsbx58wYCmdSpU8eFPLU9Bjt58qT9/PPPNnbsWLfvbNmy2ZIlSy7qnAcPHmxFihQJ3KpVq3ZR+wMAAACiQqUMl8T27dutdu3a7uczZ864qtPp06dtxIgR4bZThWzjxo2B+zly5Aj3vNaeaeS+wpvnp59+cmvVNIK/XLlyliVLFvv3339dW+PF6Nu3r6vceXTOBDMAAAAkNEIZEt3KlStdoGnQoIG7nzZtWsuUKZN7TOvAIq4/U7CKi0cffdRV3dTm6Hn55ZfdcS9G1qxZ3Q0AAABITIQyJKoDBw5Yr1693ETE4AEdmqh46NAh++STT1w7YvD2YWFhcTrG/v37rUSJEoH7qsRdzFoyAAAA4FIilCFBjRs3zrUgnjhxwv7880+bOHGiC2SzZs2yjBkzBrbTUI8mTZpYrVq17JZbbnHPrVu3zn788Uc3GTFXrlwhH/O2226zV1991Y4fP+6OPX78eBfUAAAAgOSAUIYEcfXVV1u3bt3sjz/+cJUvtSeWKlXKpk6d6kbaR6TvI9N3j3377beuhVHVsapVq9pbb73l1oRJlSpVwlXRPDqO9u1588033VqvhQsX2tGjR+3ZZ591X2CtQBjdl0Xz5dEAAABIKlKExbVXDLiCh5VoCuMPVUpYvnTRfzF1Qqg0f32i7h8AAABJByPxAQAAAMBHhDIAAAAA8BGhDAAAAAB8RCgDAAAAAB8RygAAAADAR4zEB+KowuRfrXDhwlw3AAAAJAgqZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4COmLwJxtLZtXdufLs1FX7dK89dz7QEAAEClDAAAAAD8RPsiAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4COmL16hdu7caRs2bAjcT5cunRUrVswKFiwYbrt///3XduzYYTVq1Lhkx0xs586ds/nz59u1115rOXPmvKTHBgAAACIilF2hvv/+e+vdu7fVrFnT0qRJYydPnrQ//vjD3f/iiy8sd+7cbrvx48fbBx98YNu3b79kx0xsx44dswYNGtiMGTPs5ptvviTHBAAAAKJDKLvCfffdd4EwtGvXLqtcubL17dvXxowZ4x4rWrRoglTJ4nJMAAAA4EpCKENAgQIFrHHjxrZo0aLAY7Vr17YSJUpEukqbNm2yPXv2uOcUsOLbDhjVMT3Hjx+3devWWerUqd2+U6VKFXhu8+bNtm/fPqtWrZr7c8uWLa4VMm/evFEeR9vv3r3bnW/69On5rQMAACDJYNAHwlHlKleuXIH7al/s0KFD4P6pU6esbdu2Vr58ebv//vutYsWK7k+1Ay5dujRBjhkWFmYvvPCC5cmTx+644w5r166dC1PB+x85cqTdeuut7qZg1qtXLytcuLANHDgw3L7PnDljnTp1squvvjpwvk8++SS/dQAAACQZVMqucAsWLLBs2bK5sPXTTz+5itWkSZOi3f7tt992VbHVq1dbmTJlXDWrefPmCXrM999/31588UX76quvrH379u4xtTd26dLF/vrrL7ceTTSAROvRvvnmG3d/woQJ1rVrV7vtttusVKlS7rF33nnHHeP333+3cuXK2dGjR61Zs2YhneeRI0fcLTg8AgAAAAmNUHaFe+ONN1zI0UTCjRs3Wv369QOBJiqqUHXr1s0FMsmUKZMNGDDAGjVqlGDHfO+996xly5aBQCYvvfSSDR8+3KZMmeKqY5I9e3Z7/PHHA9uogidr1qwJ7O/jjz9256tAJlmyZHHVNLVMxmbw4MGRKm8AAABAQiOUXeGCh24oJPXo0cPq1KnjRtermhXs/PnzbkR+2bJlwz3uBZ6EOGbGjBndejW1Q86ZMyfc6/QaVco8+fLlC/e8RuynTJnSVe+88926datrXQwW8X50VJ3r3r17uEqZWiUBAACAhEQow//9ZUid2u6880779NNPbd68ea5aFUyDNjJnzuxaAINFvH8xx2zRooWlTZvW/awqWrCSJUtGCooxie58g1sSY5I1a1Z3AwAAABIToQzhaJ2WRDdFsXr16jZ9+nR76KGHAo9NmzYtwY6ZIkUKa9KkiauKKagFU1Xt9OnTcdq3xvnr+9GCz1f3AQAAgKSCUHaF84ZuKPCsX7/eXn75ZatXr160bXp6XmPy1dbXunVrW7t2rRv+IQpUCXHMd9991+rWresmL7Zq1cq1NGo0/ujRo900yEqVKoX8/l555RU3DOTuu+92Uxw1oERrxQAAAICkglB2hSpYsKALQppO6LUR6jvDNPVQ7YS6H9WXR1etWtW1Fn7wwQduSqIGamj6oUKUhn4kxDG1Tw3r0JCOcePGuRH5GsGvIR9XXXWV20Yj8qMKjtp/8Fqz66+/3oXAIUOGBM5X0yN79+4d5+9UAwAAABJDijB94gVCpOEZumndl2fEiBHWp08f27t3r5uIeLnavn27FSlSxH6oUsLypfvfWP6LUWn++gQ5LwAAACRvVMoQJydPnrSGDRvavffe6wLKihUr3Ij7Rx999LIOZAAAAEBiIZQhTjTNcNSoUa61UAMz1JL4+eefu7VfAAAAAOKOUIY4q1ixolujBQAAAODipUyAfQAAAAAA4olQBgAAAAA+on0RiKMKk3+1woULc90AAACQIKiUAQAAAICPCGUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAACAj5i+CMTR2rZ1bX+6NHG+bpXmr+daAwAAIBIqZQAAAADgI0IZAAAAAPiIUAYAAAAAPiKUAQAAAICPCGUAAAAA4CNCWRJy5swZ2759u7vt2LHDDh48aBcuXPDtfE6ePOnOJa4OHz7szj8658+fd/s9duxYrPs6evSo7d69O9r7AAAAQHJHKEtCVqxYYUWKFLHKlStb9erVrXTp0pY5c2arWbOmffzxx4kW0E6dOuVCUlhYWLjHp02b5s5Hz8fFrFmzrHDhwu79ROXbb791+/3jjz9i3deHH35oVapUifY+AAAAkNwRypKgL774woWk/fv3u6rQvffea0888YTdcsstdu7cuQQ/3k8//eRCkipcCaF169aWM2dO+/TTT6N8Xo+XK1fObrzxxgQ5HgAAAJCcEcqSuKxZs1r37t1t0qRJNn36dBs5cmSU26kV8L///ov0+NmzZwMtkbt27YpUbTt9+nTgdTt37nTb7dmzJ8pjHDp0KKRqXdq0aa1r164uXOr4wfbu3Ws//PCD3XPPPXbixInAue3bt88ulto9jxw5Eu6x48ePR9uCqeuRUEEUAAAAiC9CWTLRuHFjq1ixogs6wX799VfXzpcjRw4rWrSoXX311bZgwYLA83///berSOmmtshMmTJZmzZtXACTRYsW2WOPPeZ+btKkidvutttuC3eMoUOHWqFChaxEiRKWMWNGe/rpp2M9X4UuVfqmTp0a7vFx48a5Nsk77rjDtUd656bzVqtmnz59XFiLC+2zZMmSVrBgQcuTJ4/VrVvXNm/e7J7bsmWLqwLOnTs33Gs2bdrk3tOcOXPidCwAAAAgoRHKkpFKlSrZ2rVrA/dXr15tN910k1WoUMFVsVQl6ty5s7Vs2dLdl/LlyweqUWqF3LZtm6uOqfom9evXD7QZat/aTu2MEdeIrVq1ylWitB7s9ddftx9//DHGc73++uvtuuuui9TC+Nlnn9nNN99sBQoUsA4dOgTOTQHu999/t9mzZ9vLL78c8jX58ssvXcDr1auXGwKi9619t2vXzoU/XRu9x2HDhoV73UcffeRCma5VdHQ9vfPzKo0AAABAQiOUJSOqcqkdz/Pmm29a9uzZXcDQc6lSpbLnnnvOcuXKZcOHD4/0eoUqDe24++67bebMmW7aYyjeffddy507t/tZgapUqVK2ePHikKplarlUy6Jo8IeCpNbIBVN4Uvti+vTpXVD7/vvvLVQKcKqMPfnkk5Y6dWrLkCGDGwaiISJ6j3L//ffbN998E2jLVCgdPXq09ezZ012z6AwePNhV2bxbtWrVQj4vAAAAIFSEsmREa7/UpuhRZUktiaoyedUctSVqiMaaNWsCY+1VRcqSJYsLFprq+NBDD7m1YTGNrQ9WvHjxSOvcQlmLpTbIFClS2Oeff+7uq2qmcOdVp3S+bdu2dWFMQU9tjB988IGr5oVCQ09U3atatWq4ipaCp6pg3jVQu2bevHkD6/G0Pk8B1asWRqdv377uXLzb0qVLQzovAAAAIC5Sx2lr+EYhStUpBRCPqjzz58+PcophrVq13J8DBgxw7Yd6rVr5ROuoGjRo4L4vLDEpgGlipMLYAw884NbDKahpEIioYqZqndZ/aT2YV5V79tlnQ9q/Al/KlClt1KhRNmHChEjPK5CKKmgKpvpagaeeesq1Miqoqc0xJgqfugEAAACJiVCWTGjYhqpAI0aMCDxWp04dN3r+l19+ibS9F7hWrlxpDRs2DAQy+fnnn8Ntmy5dOvdnYozbVwujgtmLL77oKnq679G5Pf/884FAFtW5xUShtEaNGi6oqtUwouDQqVZFtToOGjTIDUKJy3EAAACAxEQoS4K8dkStfdL0QFWBtAZKwaZp06aB7TQFUe2IasPr1q2bmzz4zz//uHbB2rVruyCi57XmbMaMGW56ov58++23wx2vTJkyruI0ceJEa9GihQtp+fLlS5D30qxZM8ufP7+9+uqrrtVSwz88OrdPPvnETY/U5EVV1DSRURMeQ6X3osmU2bJls1atWrnXrlu3zlXDdL28KqLej4Z/qApXtmxZF1QBAACApIBQloQoDGkt1OOPP+5a87TWSmFCAyaWL18eLtCI2u9+++03e+ONN9woeX1XWenSpV2LYJcuXdw2CiH6rjB9+bTWWmkfXhuf2vqkWLFibjCIqnCarKh9aAKjAo7OR+cSTOekASOhVrPuu+8+F770ZzCt8erfv7+rnikUquXyrbfeciHSo/bB4DbDiPd1bbTWS0NPbr/9djc0RBMnNfgjYlunWhjVQhnxPAAAAAA/pQjTp1jgCqCpjAqnqkIGD0wJlV6nYSk/VClh+dKlifPrK81fH+fXAAAA4PJHpQxXxNTKrVu3uiqgBo7EJ5ABAAAAiYVQhsueWhk1DKVRo0Y2cOBAv08HAAAACIdQhste8MRKAAAAIKnhy6MBAAAAwEeEMgAAAADwEe2LQBxVmPyrFS5cmOsGAACABEGlDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAAAAAPARoQwAAAAAfMT0RSCO1rata/vTpXE/V5q/nusHAACAi0KlDAAAAAB8RCgDAAAAAB8RygAAAADAR4QyAEnCsmXLrGXLlnb8+PFE2f9tt93m9q8/J06cmCD73Lt3rz3zzDPWrl07u+OOO+K9nzVr1rhz+++//xJlewAAkLQx6AO4BH6vXdaX65ycBpHs2bPHpk2bZmfPnk2U/d9111125swZ27x5s919992WN29eq1ev3kXts0uXLnbhwgV76KGHLEuWLPHej8KV3vvJkyfjtf2qVatcOBw3bpxlz5493ucBAAD8QSgDcEW46aab3J+nT5+2Dz74wPLkyXNR+wsLC7MFCxbY6NGjrW3bthe1r2uuucamTJliuXPnjtf2+/btcyHt1KlTF3UeAADAH1ds++Ljjz9uhQoVch+sgqklKH369K49KNjbb79tmTNntmPHjlly89Zbb1mpUqWivR8VXZeRI0dajRo1XEWhWLFi7oPnTz/9lKDnNmLECHe9o7oNHDgw3uePi28j/Oeff2zAgAHWuXNne+CBB+zPP/+MtK2qWgold955p3Xo0MEGDx4crtrj7UvVqaeeesq1+amaE6r58+fbLbfcYrNmzQq3v3Xr1tkLL7zgzq1Pnz72xx9/uCrY0KFDXfXq3nvvtV9++SXS/hRaOnXqZE888YSVL18+xmMfOXLE/V3r2LGjde3a1YYNG+YCnSxevNidh+7rfxv086hRoyLt4+jRo9aqVSubO3dupOf69u3r9i87d+604cOHh2vdnDx5svXo0cO9x5dffjlcq2Lw9vrfqmeffdY9rhZKnUvPnj1Deh/x+R3pd/7ZZ5+5aqNaQT/55BM7f/58ghxv165d7r97/V3S/qdOnRrj7wgAgMvFFRvKFDb0wWbt2rWBx86dO+c+PGXIkCHShyh9wKtQoYILZsmN3lfwv6BHvB8VfeC9//77rXv37rZ69Wr3IbRbt2725ptv2vr1/9cS9/rrr1vZsvFvzdO56AObAsChQ4fC3dSOFd/zx8W3Ed54443uWitU6L+VatWquTDk0e+tUaNG9uSTT1qlSpXcB219uL755psD/9jh7atOnTouaCs0VK1aNaTz+OKLL6xp06bWrFmzQJXL25+Oof21adPG/vrrL6tZs6Y1btzYVq5c6R7LkSOHu6+/t57t27e71ylA6u9yTBQs9f4VPnQOtWrVsldeecWaN2/u3luJEiWsV69ebtsmTZrYfffd5/43JSK1NCqYDRkyJNzjW7dutXfffdeuuuqqKNsR33nnHXeOV199tQstCj3BrZbB2xcsWNAFV69FU+eiYBrK+4jr70j7a9CggT399NNWsWJFa9GihQtZjzzyyEUf7/fff3f71D/8aL/6WaHuvffei/XvCgAAyd0V276oDzgpUqRw4Uv/5y/Lly93H370YUuPqzogekz/Yq8PO1eKCRMmuA+3wR9e9aFbt6hC1cVKly6d+4AWin79+tmjjz560cdEzHSN9eFb9OFYwad///723Xffucfef/99176n/24UykThoHjx4vbVV1+5ilRwyFfAD5UqQ2+88Ybbjz6gR+RVYkTnpUpu4cKFXdVGdOzZs2fb559/7kKCVK9e3f2jiipauukfHRT4oqLApBC3adOmQItg3bp17brrrrMvv/zSVa8UNOSGG26I9N9FMFXt9N/R/v37A/v69NNPXftkdK+bPn263X777a6a5tG6tajkypXLvTdREM2fP3+c3kdcfkcKSCtWrHBVU11z7+/GwYMHL/p4+j3p3PV7S536f//XpN+p/vdYwS1nzpwxnhsAAMnZFVsp0wcGtS/NmTMn8JiCmP61Wx9sgitl+td3teTUr1/f3Vd7zbXXXutapVQl0ge9GTNm2NixYwOtd9myZXMfRNTOFdza4732448/dh/m9IFK/0r8888/RzrHjz76yO1f+7r++uvdxDjt+8cffwy3nQKjKgnaV758+dyHQO9DUnzpw5GGB+iDZHT0wVjvR//q771vHTuxqYqgqqUnlOuuSlz79u1dy6oqC7feemu4ih8i0zUKpvZV/V0LDg76u+sFMtEHZ1XPfvjhh3CvVTUpVPqgrpY3/TcYVSCT4KpR0aJFLWXKlJGGdqiatWPHjnCtsmo11D+u6Bb8dyiiefPmuYpQ8BovreMqV66cey4u9PcuY8aMgRY9VYwUyhQ00qRJE+Vr9L9D48ePdyFIAUivUfUvruLyPkL5Hen32rBhw0Ag83jnFt/jHThwwJYsWWL33HNPIJB5fwfVMr5o0aI4vW8AAJKbK7ZSJgpZwaOx9SFQ/6qrlht9SFCrloKbHk+VKpXVrl07sKZC6zi+//57+/bbb11lQJUefXDSWghRe51ap/QhQ7x/8fZeq/YdfejShxkFG334UHDwPsx8/fXXrlL34YcfuoqV2iz1IU5VqeCwoX9VViBTGFLQ0/Nah6JKgbcOJz7UpqhzKlKkiPtX+CpVqrjKgK6ZPgB7lRR9YNKaIi/g6Doltojti/qX+tiuu66HPkiqspMpUyb3IU8f0HXNoqMgrptH612uJBGn+Om+2kr190+/Z/2sVrSI1R79/S5ZsmS4xxSWQ6W1RjqW/oEhOvrvLZiq3lE9FvzfSnRVsaioPVBBIiL99xrXMfRqh9bfP/13ojY/tUJv2bIlxn/A0P8m6PjffPONvfbaa+4x/e+Bt3YsMd5HKL8j/fegEJzQx9PfJa9CH/wPZaK/a7peAABczq74UKbQo3+JVkVKH9g1AETrQCpXruzCmBfKVNUKHnmtf83Vv3xHnJbmhRJVbbR+RcFFlZzgNiR9eFRblbc+TWsuVHX77bff3GtEH8S0iN5bsK9hG4MGDXItTcG07krtl1r0rw+houNprYqqGl6QjCutH9q4caP7AKn96Kbqk0Kr2tf0gUrvVddBxw219TA6alOKSNPlQvnXe51HbNd9w4YNbiCEArRonZRuMdH79YaNXIl0zYJb4f7++2/3gdy71gpeut5RtfXGp6rj0XAHtfvp767WF0UMeJeC/vuJWElVwNN/E17FPC68fzRRq6fCmVr1Yho0ov+m9I8Nuon+EUfhVxVzr20ymPcPJYn9PrS/4HW4CXU8Va/1d0lVtogVT/39im0oCwAAyd0V274o3v/5K3Rpkbm3SF0UPvS4voNIbTcRP1AoREQMZPpXZK130uJ8hRZ9yFBoivivvPpgGzwwRFUBfdD1/iVZFTd98Ik4OEAVvGA6t6VLl7p1PF4gE1WEVOFSyIuN1n4ETzz01qaI7usD4Kuvvmq//vqrzZw5010LhciEFtWgD7XBhSKU6671Qw8++KCb6KbWsW3btsW6XwU6befddK2vJC+99FJgvaD+nmgdlleB9K6pph4qgHnrDXXTPyBczCAWVZYU/NUaqWEQMYWAxKIQpXY6b/2c1zartuD4fEm0/rtSu6T2oepXbING1L6par1HLc8KXpowGRVdc9m9e3eivg8FJLVz6/w8hw8fdu/pYo6n/2Z1TfS/L1oj6P1dUnVT4/4v5jvgAABIDq7oUKaF9l4lTDd9CNQHwuBQpnVVCggRQ1nEVilR26CCi/5FXP8yrNdpWEHEL8ON7l+1velk+lO34KAV1esUynRTVS3iOHmt8woleGjdTXAQimm9jKpWqhgmxvoOb9BH8C266xSf665rpLZG/b7VGlq6dGkXKmKSNWtWF769W4ECBexK++9DVSr9t6BQoP8+VEn2qKqhCq/Wmul5rcXU9mrRC/X7tqKjtVaavqh/FNA/nmjC36Wk9/Liiy+6wRSqGuv9qWqqinRU7XmhUKBVhVx/r4OHoERFf3e1NlJtw1rDpXVZqpxHNxhEf68VYLUGT9fMq7An9PvQP5TovzONsi9Tpoz73ejcvDbRizme2om1PlHVbP0DlP7eqYKmKr1ajgEAuJxd0e2LorCl7wNSlSy4bUYfcLReRh9AgteTxUTru5577jn3Wo/aleJKH9rUTqlKV/D3DUWs1Kh1UB969EFMx40oeMF8dKJrPVSrpD6AR1wjpmqeAk3wh2cFQz+Fet314VE3fUeVWiPVvvjYY49dkva4SvOT31ARBa4TJ064djSFLF27iNROqymIqjRr9Lu+Py54CIQ+mOtah/JVEhG31X8Hmqao/Xuj4qPbn9Z36r+FYJoUGfF7CONCf6fU8qp/mNF/B2odDK7Y6DGdi4JTqANM9N+1BvJErPxE/DJoTVrU1EGtz9N3kem/OQWU6LbXtfL+EUlrH4P/m47tfcTld+S9D7VVagqjKEgFvza+x9M/zCi8qRKv963/bVF1MeLaRgAALkthV7gvv/xSn9rC0qZNG/bDDz+Ee65ixYru8WrVqoV7/JlnngkrW7ZspH3VqlUrrH79+mF79+4NO3bsWNjQoUPDUqZMGZYpU6ZYX5sqVaqwsWPHBu7r5/Tp04dNnDgx7PTp02ErV64MK1WqlDvXGTNmBLabOnVqWJYsWcLGjRsXduTIkbAzZ86ErV69Oqx3795hS5Yscdu89tprYYUKFQq8JuL9qOgc69SpE7Zo0aKwc+fOhe3evTvs4Ycfdsf/6quvAttNmDDBXaPNmzeHe/0vv/wSli5durBZs2bFeJxhw4a5fe7bty/abWI7/9iu+6FDh8Latm0btmDBgrATJ06EHT9+PKx///7u+aNHj4aFatu2be5cf6hSImxlrTLudjmaMmWKe58HDx70+1QAAACuCFd0+6J4bYmq9kRcs6X2Ga3hCHVB/MiRI10bj8au61/D9R1L3nedxZUqEPoeH/2Ls/7VW5MQve8pCm6dVJVM6zlU0dO/mmtNldZuqPVJw0ria9KkSW6AiFqm1NKp1iP9y7jWiniTDkWta6o46V/ug0fi6zpEnBQZE7UHRmxfDHW8fmzX3bsm+pJjXSO15aklSl9jkBy/DBwAAACXlxRKZnaF84YZRFwnpg/6WtuhNprgNj6NZFeIS5s2bZT703PeeijtQ9t7+47utToHHSeqdVTeCHKNuG/atKkbYBHxe4KiOnbw64PPIeL92ES1vi0qeg86ttfSqECr9xnT2jDvGkdF71n7CvX8Y7rucX0vUdGX4mqAyg9VSli+dGmSbVtibPbu3etaZTXFMpQWWAAAAFwcQlkSpYlmAwYMcEMTVEXSxLO77rrLVYMifnk0Lo0rJZQBAADg0rri2xeTKrXc6Tt/9MXQGTNmdG2CEb/sGgAAAEDyR6UsGbiYljskHCplAAAASAxUypIBAhkAAABw+SKUAQAAAICPGK0GxFGFyb+64SsAAABAQqBSBgAAAAA+IpQBAAAAgI8IZQCShAULFtiNN95ox44dS5T968uwtX99AfuwYcMSZJ9bt261Xr16Wb169axFixZ2uV47AACQuFhTBlwCn4z/3pfr3KNrK0suDh48aEuWLLFz584lyv5feeUVO3v2rG3evNnuu+8+K1WqlDVp0uSi9tm1a1fLmTOnvfzyy5YpUya7XK8dAABIXIQyAFeEG264wf1ZsWJFGzBggJUsWfKivz9w2bJlNnbsWKtTp04CnSUAALgS0b4IIMpWuN9//93uv/9+a9y4sXXu3NlVYiI6fvy4vfnmm9a8eXNr0KCBPf3003bo0KFI+1q9erV1797dtfl99NFHIV/xadOmWc2aNW3WrFnh9rd48WJ74IEH3Ll17NjRPX706FF78cUXXfWrVatWNnHixEj7O3z4sLVt29Zee+01u+qqq2I89p49e+ypp56yhg0b2k033WQvvfSSO4b8+uuvVqNGDVd5e+6559w5vf/++xd1PdUKqe10q1WrlnXq1Mk+/fRTF/7icz0jXjsAAJB0EcoARNkK16hRI9fi98QTT1iWLFmsbt269ttvvwW20/olhYcPP/zQhYzHH3/cFi5c6ELM+fPnw+2rWbNmVqlSJddCGOraqw8++MAFk4ceesiFouD96Xjan0LTmTNnXNBRQDl58qR7TIFJYe3nn38O7O+vv/5y59G/f39r165djMc+cuSIVatWzebNm2cPP/ywdevWzcaNGxd4b9dcc429/fbbbtt77rnH3n33XWvduvVFXc98+fK5/eg2aNAgFy4V+Pr16xdpX7Fdz6iuHQAASLpoXwQQJQWCRx55xP2sD/Zai/XMM8/YzJkz3WMKD2vXrrU//vjDypYt6x5TMCpWrJhr6bv77rsD+3rjjTfstttuC+lKX7hwwR1XIUjHUvCLSFWpW265xf1coUIFK1iwoFWuXNlVwEQB6Ntvv7Wvv/7a/SzaT+bMmV01T5588klXNYuKApeqYjNmzLCsWbMG2h/LlStnY8aMcUGsevXq7vHSpUu76tXFXs/06dOH20/t2rVdUFOAfP311y116tTRXk9V4UK9dgAAIOkhlAGIUsQKjFoU1R7o+fHHH10w8QKZKPTUr1/ffvnll3ChTGEtVKpw/fvvv65FUZWlqASHlwIFCliqVKkiBSN9wfeuXbsC9xWwFFo8Ma0p07F1zl4gE52LQpkqVQplCX09Zfbs2S5QqZVRlUhV/tQiqfvB7ZbRXc9Qrh0AAEh6CGUAohRxmqACl4KC2vcUgvSztw4qmCpACi8RXxsq7V8tiTFJkyZNrI+lSJEi3HostSOGSu2LqlJFpLZDrUtLjOupNXCqfqn9sn379pYtWzbbuHGj3XXXXS6cRXxtfK8dAABIeghlAKK0bt061xboUatiiRIlXICQMmXKuKChVrqowkt8ffXVV24dlyYaakiF1m9dampJVFtmMIWdv//+O95j9GO7nl988YVrpwyunm3ZsiXZXTsAABB3DPoAECWNjVfFSFatWuUmAer7vTxau7Ry5Urbu3dvYGqgbgcOHLBNmzbF+6qq4qUWPg3OUJueWvEutd69e7t1WqNHjw48NnDgQDtx4oTde++9iXI99X1nCm46hqgK+cILLyS7awcAAOKOUAYgShqcoaEd5cuXtypVqrgx8w8++GDgea0nmzBhgj366KOuAqRpgNmzZ7dhw4aFW2cWHylTprThw4dbz549XWUqeIripaDpjZpgqOCptWeFChWyESNGuMBTvHjxRLmeGgSi9kOthVOF69prr3XnkdyuHQAAiLsUYcGLLgBEa/v27VakSBHbtm2b++B8uZo6daqbbKjx6+nSpXPrmnLlyhWu9S4iVcY0rVDDKILXO+k7yzSKvmrVqoE2vehEt62qcVofptAX3TYavqHwlCdPnsBjajXU/7ypzTK+Tp8+bevXr3fHUtAMnoAoqkRp/6pyJcT1VCj7559/3BoytVDqfauqdt1111mGDBmiff+hXDsAAJB0EcqAEF2JoUyVL3A9AQBA4qJ9EQAAAAB8RCgDEI6+tHjRokUXNUERXE8AABA62heBEF0p7YsAAAC4tKiUAQAAAICPCGUAAAAA4CNCGQAAAAD4iFAGAAAAAD4ilAEAAACAjwhlAAAAAOAjQhkAAAAA+IhQBgAAAAA+IpQBAAAAgI8IZQAAAADgI0IZAAAAAPiIUAYAAAAAPkrt58GB5OTcuXPuz127dvl9KgAAAEgG8ufPb6lTxx65CGVAiDZv3uz+rFatGtcMAAAAsdq2bZsVLlw41u0IZUCIihQp4v5cuHBh4GfETFVFhdilS5dagQIFuFwh4JrFHdeM65XY+DvGNbsU+Ht2eV4zVcpCQSgDQpQ+fXr3pwJZKP/igf+j/6HkmsUN1yzuuGZcr8TG3zGu2aXA37Mr85ox6AMAAAAAfEQoAwAAAAAfEcqAEGXNmtUGDBjg/gTXLLHw94xrltj4O8Y1uxT4e8Y14+9Z3KQICwsLi+NrAAAAAAAJhEoZAAAAAPiIUAYAAAAAPiKUAQAAAICP+J4yIESnTp0KfFcZ/ufEiRN25syZKBd4p0wZ9b/5nDx50jJkyHBFXcILFy7YkSNHLGPGjJY2bdoE+Xt2uf99PH/+vB09etQyZcpkadKkifT8sWPH7Ny5c5Eez549+xV7zc6ePfv/2jsPMCmKpo/3wSH5JYNklIyARIlKziDRhAFEBVEUlSDGR4IiKBjIBoIBBURERURBRKKogARPQbJHzhkJ/T3/+t7ed2Z2dnf2DHs79/89z3LsbF3fdE3NbFdXdbWrrpxgKfn58+cj6sKrXDyD51e4e/L48eOiByvp06dX2bNnD3mv4zpkzJhR+fF+BAkJCSpHjhyefgevSM88r3LxBp5PeE4BfB+GKhJmvh+cQB/4zgjVNuzSy/0ez5w9e1aeQaG+BwDuN+gX92U4vMrFEkbKCInA5MmTZcNoDPby5MmjBg8eHPQlnVbp2bOnypcvnypRooTttXXr1iDZV199VXa1z5Url/zEe78DPTz11FOiE/QbtuQG7Al2BfuCncHe3GS9ysUzv/zyi+rfv78qXLiw6Gzu3Lmucg0bNhQ7ctqe2+AF7WEQCZ2VLFlSzZ49W/mF06dPq9dff11VrlxZ+ghnoVWrVmrjxo2uTmnv3r1FBrooX768+uqrr1IsF6/A0RoxYoQqV66c6AyvTp06uT63YIeFChWy2ViTJk2C5DCovuuuu1S2bNlk8F21alW1YsUK5Rc2bNgQ6D+eOxgkN2vWTK1duzZIdv/+/apjx44iAxuqV6+eqz16lYtXlixZEtAZ7Ah9bNeunfrtt99scrt27ZJnHfRqtTPcg0527typWrZsKTqDrTVt2tTVbv3AiRMn5NkD3cybNy/o86SkJHXDDTeIHuC83njjjWrPnj0plksVoPoiIcSdTz/9VKdLl07PmDFD3q9YsUJny5ZNv/TSS1SZ1vr222/Xbdq0iaiLKVOm6CuuuEIvWLBA3uMn3uO4n+nbt68eNmyY3rBhA7x4PWHCBFc52BPsCvYFYG+wu88++yxFcvHM3XffLf1ctmyZ6GzWrFmuctWrV9f9+vWL2N7jjz+u8+XLp3/++Wd9+fJlPXHiRJ0+fXpp3w9APzlz5tTvvvuuvnDhgj506JDu2LGjHNu7d69N9p577tHFixfXW7Zs0ZcuXdLPP/+8zpgxo964cWOK5OIV3IcFChTQc+bMkf7t2bNHN2nSRBcqVEgfP37cJps1a1b95ptvRmyzffv2+pprrtG7d+/Wf/75p+7fv7/Onj273rVrl/YjBw4c0B06dNB58+bV+/fvDxzHPVa7dm1dt25dscWzZ8/qbt26ib6PHTsWtZyf+OOPP3Tjxo11sWLF9MmTJwPHt2/fLs+6lStXhv192FW5cuV0q1atxE7RBuyuZMmS+ty5c9pvdO/eXdeoUUN0g3vVCvpeuHBhfdttt+nTp0/rI0eO6IYNG+pq1arJPR2tXGqBThkhYcCXxo033mg7NnDgQBnkXbx4Mc3rzqtTVrp0ad2jRw/bMbzH8bTA0aNHQzplsCMMbGBXVmB3derUiVrOL8Ah+KtOGb6QM2fOrEeOHGk7joFgu3bttB9YvHixOP1W4Iw57Q2OBxz4yZMn22TLlCkjjnC0cvHM559/rrdt22Y7ZiZOnPbmxSmDs4rfxSSeAQ5y/vz59YABA7Rf2bx5s/TbTFqChQsXyrHVq1cHjsGByJQpkx41alTUcn4DE2ro96JFi6J2yj788EORs9ouHL2EhAQ9bdo07Sfmzp0r46ylS5e6OmVjx46ViV049Ib169eL7Lx586KWSy0wfZGQMOulVq9eHZSq0rhxY3Xw4EFfpVn8HesysCbAjT/++ENt2bLFVY84npycrNIySAs6dOiQq36+//57yamPRi6tgVS7UOnEq1atEr246ezbb79VfgBpnBUrVrQdM+s5sfbHmkqFtStuuli8eHHUcvFMmzZt1FVXXRVRZ1bC3V9GL9CRITExUVKm/KIzN8yaTutaMPQX6Zs1atQIHDPvrbrwKpcWdBaNncFurbaLtMiyZcv6SmeHDh1S9913n6Rl582b11UG/b322mslld9QqVIlkXfamRe51AKdMkJCgDxvDE6Q523FvN+xYwd1p5T6+uuvJVceudpVqlQJWq9j9EQ9uhNOP7A/2GE0cmmJsWPHykAOawWuv/56tXTpUtvn4XSGogWHDx9WfgSDGTgZDRo0sOkCDkeRIkWCdAHbMY6tVzk/6gwD5bp16wZ91qdPn8DaM6wJwhoVK9BZ7ty5ZZ2PU2d++57AZOXRo0fVunXr1IMPPqhq1aolTq4B/YXtOJ1bpy68yvll3eeRI0dkkrdfv36qRYsWsn7ObYIFNpY/f37Vo0cPtW/fPtvn0IvzWeZHnfXq1Uvs6tZbbw0p41UX8aYzOmWEhMDMWDkrj5n3aTUyYQWL2VEAABWmED3s0KGD6tKli3r77bcDMtRjeLzqh3q0g8XuK1eulEjZtm3bVKlSpVSjRo3Ud999l6Ztb8GCBerFF19Ujz76qBSyMKCvqF7mrIoKXcCpR4WzaOT8xAcffKAmTZokRXQKFixo+wyDY0SpkQ2wZs0a6X/t2rXV9u3bAzLQmVuFShzzm43BrooXLy7PfugAzqy1Kp5XXaQlnXXr1k10BkcD35WjRo2yOaOIqj7zzDOiTzzPvvjiC3Hg6tevL05wWtLZO++8oxYtWqQmTJgQVs6vdkanjJAQmFlP60PRzHoBzM6ndTDrh9l4fCkjYvHcc89JRa7Ro0cHZKjH8HjVD/VoZ9iwYTIwhPNQoEAB9dZbb6lixYqp1157Lc3aHtJYMSmCyRFUF7QCXcCxcG4jAF2gRLQZuHiV81Okv3v37pIuNWjQoKDP4XSULl1a/o/KnTNnzpTBHOzNAJ05bczozG82BucVVfFQwRKRDESoly9fHrUu0pLOPvroI4nMIy0P35fXXXed2rRpU+BzRAyHDBkiEwJ4niGFE1V1UVXRWn3W7zo7deqUevjhh8VBRV+PHTsW2IYBfbRuG+BXO6NTRkgIMLOFGSzrjCgwIW98QZNgKlSoIOvIDIhgAOrRnXD6gf3B0YhGLq0Ch6FMmTKebQ/pZuH2NIs31q9fL6XwsY5p+vTpQXvxGF04U3bw3vos8yrnB+BMwIG96aab1MSJEz39DmwGJfKddoYBJNL6/K4zAybhhg8fLttSTJ061aYLpLk61xi72ZkXOT+BdU3jxo0Tx+u9996L+D0KnHbmfJb5SWdn/us8DR06NGj7CWy/g8hhOF0gtRpbBjjtzItcaoFOGSEhwOafmNWaP3++7TjeYwBsTQ0i/3vYYbbe+rBDfjwW2rrpEZEO7HOWlsE+LMhvd9MP0vHMgnCvcmkVRC/gmFhtD+lCWKPh1NmXX34p6zr8AgrmNG/eXFWvXl3WdLrZAtar4LhVFxgQI1Jk1YVXuXgH+2thLVTr1q3VtGnTQm527wSFiTBQttoZsgOQjga7sg4wkUrrJ505QTQVEQfrRtmwQ9N3635k0LdVF17l/PicQiQ60ubiKFIErHYGncH+kE5r2Lx5s6Rv+0Fn+fPnl8kN6wtpnOD999+X57tVFyi2ZnVakc6OCK7TzrzIpRpiXf6RkNQM9jJKTEzUI0aMkDLT06dP1xkyZPBd+dmUgFK8zZs31/Pnz5e9eVBmFvuKoJy2s3wt9tHC3lCTJk0SPeIn3vtpfy03sHcMyuHv2LFDSvCOHj1a3p84ccImN3XqVCnbC/uCfmBvsDvnXlpe5eKZM2fOiI7WrFkjOsO9hvenTp0KyHzzzTf6jjvu0EuWLNHJycl61apVYotZsmTRa9eutbX38ssvy95uKFeOcu+DBg2SMvnOMvLxCu497HuELQKgC+jKvLD3kxX0PU+ePFKOHPdv7969ZT+znTt3pkguXvn111+l3HajRo1kvy2rzqz7PaEU/mOPPSb2BduBPqpUqaILFiyo9+3bZ2vz3nvv1UWLFtXLly8XPWFfpCuvvNJWijuewV51gwcP1j/++KP0/fvvv9edOnWSew57AFpp27atLl++vNzDv//+u27ZsqVsf+K0R69y8Qq2L8Gei+vWrZPnNZ7TzZo1k3vJWtb+iSee0MOHDxc53G/YlqFIkSJyT2NvMuvebtjOo2bNmnrTpk06KSlJ3mMvL79u0ZOUlORaEv/8+fO6QoUKsr8gtmaADVauXFn0mxK51AKdMkIigI2O69WrJ3vO4AsZA2Pyvz2SsE8WBiNly5bVXbp0se07Y2X27NnyZYLBEH7ivd/BF3KOHDmCXvXr1w+ShV3BvmBnsDez0XZK5eIVOARuOsMmqdbBCQYuZsPfihUryh5a2NvMjTFjxogMdIaBOAbOfgH7ibnpC6+nn37aJovNUjH4wwa02KS3RYsWQU5sNHJ+uy/xeuWVV2wDuvHjx8t9BkcMG84++uijts2SrbLQd6lSpcQZg73+9ttv2i9g413orVatWtI/DGx79uwpDq7b/oB9+/bVJUqUkPsTDiomD1IqF69gE+whQ4aI0wSd4bn98MMPy75kVrA/Gxxe2BfsDDp+4YUXbBNRhsOHD4ve8Z0Lxw37fR48eFD7lc2bN8t9ib0FnWCiBJNz2Bwam9336dMnaPP3aORSAwn4J9bROkIIIYQQQghJq3BNGSGEEEIIIYTEEDplhBBCCCGEEBJD6JQRQgghhBBCSAyhU0YIIYQQQgghMYROGSGEEEIIIYTEEDplhBBCCCGEEBJD6JQRQgghhBBCSAyhU0YIIYQQQgghMYROGSGEEEIIIYTEkMRY/nFCCCGpiyNHjqiePXsG3mfOnFkVK1ZM3XLLLapy5coq3tmxY4fq37+/euWVV1TRokVVPJ5TauzDX+XXX39VTz/9tJowYYLKly/f397+Qw89pPbu3auyZ8+uWrZsKfb8b/Hkk0+qMmXKqO7du6tYkZycrD744AO1adMmlStXLtW8eXPRgxuLFy9WM2fOVKdPn1a1a9dW9957r7riiitS1F7Xrl3Vn3/+aTuG58no0aP/5h4SEv8wUkYIISTAmTNn1OzZs9WVV16pbr31VtWsWTO1bds2VaVKFRmoxQs45y5duqg9e/bYjh87dkz6d/z4cZVaiPacnPKh+hpPHDp0SPoER+CfoE2bNmLP1157rbrvvvvUvHnz1L/FN998o9atW6dixccff6yuuuoq9d1336kbbrhB5ciRQ5zSbt26BcmOGzdOtW7dWhUqVEg1aNBAjRkzRrVo0UJdunQpRe1B1jxLzKtVq1b/eJ8JiUs0IYQQ8l92796t8dUwZcoUm05q1qypq1WrFjd6+uGHH6QfSUlJtuPHjh3Ts2bN0sePH9ephWjPySkfqq/xxNKlS6UP27dv/0f/zqVLl3TVqlX18uXL9b9FrVq1dN++fXWsGDdunB47dqzt2IwZM0TfK1euDBw7fPiwzpIlix45cmTg2NatW3X69On1tGnTom4PZMyYMehZQghxh+mLhBBCIlKyZEmZ8bfy888/q+nTp6vdu3erIkWKSNpjqVKlbDIbNmwIyJQuXVrdf//9qkCBAvIZIhbt2rVTZ8+eVV999ZVKly6devPNN9Xly5fVnDlz1Ndff61OnTqlqlevrnr16qWyZMkSiBQhpQrgdwoXLqyaNGmi2rZtG0jve/zxx+X/ffv2lZS1//znP2ry5Mnq6NGj6sMPP1S1atWSY+DcuXNq2rRpauXKlZioVHXr1pVUs4wZM9pS61566SX1ySefSJ8QHYAMIi+hQNoWogd33323pHdZGTZsmJw7UtvczgkpZHPnzpXPypcvL/3NmzevfGaVR7ppqL5GascN09cXX3xRohxJSUnSV1zbChUq2GQjXSfT1ogRI9SMGTPUL7/8oho1aqTuueeekH/faTvQ02233aY6dOgQaG/IkCHqiy++kPayZcsmdnTNNdeInaG/iYmJ6qabblJNmza1tYdoD2TxGa5xKCLZVzigB0Sb1q9fr/LkyaN69OgRdfuwG9jMXXfdJVEqK0OHDpX+PfHEE8ord955p9iFlZo1awairEhRBPPnz5dI+e233x6Qu/rqq1WdOnXURx99JOcTTXuEkOhg+iIhhJCwYOCPVKXrrrsucGzKlCkyCEfKHFIckX5WtWpVGYwa4GBVq1ZN1vI0btxYjmFQDicIfPbZZzJAR1v16tVT7du3l4F+586dZVBasGBBSaHCYBu/d/HixcA6N5MKBVk4GRj8moEq1riYwaxJW+vYsaNr6h8G6hgQDx8+XM4f5/v888/L+ZqULZNah1Qt9Ldhw4ZyDANROC2hwDocpOO9/PLLQfqEs5E/f37Xc3rvvffkvNEP6BZt4G8bvVnlw/U1UjtumL5iIL5z506Rh0Ndo0YNtWbNmoCcl+tk2rr++uvl/zgX2IwX4KTXr19fHEk4ZNb2cL2gQ/xN6B9OANqGw4y/BacUTvCiRYtsOscEAGQjOTSR7CsU6Ddsw9gz1k7hvJw2Eql92A0mB2CHVvbt2ydOWbTrCJ0OFIAjDeDMGjZu3Ci6Q+qiFVwDfBZtewasPYOjh3WQuOcJISEIEUEjhBCShtMXa9SooTt37qxbt26tc+fOrZs2baqTk5NF5sCBAzpz5sz6/vvvt/1u165ddcuWLeX/e/fuldSlwYMH22SOHDmiL168KP8vUKCA/J3Lly8HPkeqE/7+woULA8dOnDih8+TJo996662Q5z1//nydmJioT548GTalb+3atXJ8w4YN8v6NN97QGTJk0Nu2bQvIbNmyRdrCZ9bUOmvKFs65VKlS+sknnwyrzzlz5uh06dLpXbt2BY6NGTNGZ82aVfrldk5dunTRd955p60dpJYZvTnlQ/U1UjtumL4+8sgjtuO4/o0bN47qOpm2hg8fHlZHzvTFSZMmSRqdNWXOKoP0OWt/EhISdLNmzWyyDRo0sPW9UqVKumTJkmLTeOG6RIPTvtzAeeO+gO0bkCaJc46Uvuhsf9myZbZrDIYOHSr6PXfunP4r7Ny5U+fNm1c3b97cdrxXr166aNGiQfL9+/fXOXPmjLo9gPYGDRqkp06dqgcOHKizZcum27Ztqy9cuPCX+kCIH2H6IiGEkCCQGodZ/8OHD0s6IKIyJrUOEQikHD7wwAO23zFpZhcuXBCZ8+fPS7qYFURtrKBiW0JCQuD9559/LpXqEA2xzswjtQvFGUzqG9KkEAnCuZ04cULOB5GK33//XYqSeOXbb7+V6AkKFxiQgonI0JIlS2znbz0nnDPSMRFFCgfOG9UEp06dqp555hk5htRCpNC5RRwAInBIH0SRBRRFwPnkzp3bc5/+jnZuvvlm23ucLyoYInqYPn16z9cJRFPY4amnnpI0OrQB+3PDRF0B+pMzZ07bMZN2B9swvPDCC7YIIaI/4UiJfcFeEKlDYQsD0iTdIluR2kekDT8nTpyoxo4dK3pH5BkRNZNWmxIQMUQhD6SkvvPOO7bPkBZpLehhwDF8Fm17AAVOrDYHW0A0FbJuqZ2EpGXolBFCCAkCTgkq+gE4WmXLlpX0KgzwMRADzz77rAzQDVi3hAHcrl27Aql4WFcTDgzmrKBt/K7529b1RWat0qpVq2TA3qlTJ/mJQTmcR6wzwpqeaEBKnJujgmMHDx60HcuUKZPtPdYDIY0vHBjM3nHHHeKUYT0U0jvXrl2rXn/99ZC/M2DAAFlnNGvWLFk/hUE4nEPo2+rARuKvtON0nqEPrHWCA4HPvFynUNc4HPh9pPNhDWMo3K5DpGvjZT2YIaX2BVty6g04j3lt/8EHH1T9+vWTNXmY5MAEANbspRS0DQcK123p0qWBtZ0GpKGiD9Ab9GfYv3+/fBZte8B5b6G/kMP6TTplhNihU0YIISQsGERhcIj1LAMHDlQlSpSQ41gDhkILVnr37i2RIRN5wnqacMUwnKBtOENYb2MF702kDmt2EN3CGiaDswiJV+cFERWsl3OCiIUz+pJSEDUaNWqURFJQGAMRJqyXCgXOHWtw8MLaIqyvwtqkcuXKue6vFaqv0bbj7D/krO/hXBkHw8t1SglwIGFj0M/ChQslGvlv48W+3IBOfvrpJ9sxRI2xNi8l7eO6QRfvv/++2A3WyYVzVsOBKCHW1GHCBHZo7mFndByON6JbWFtpWL16dVDU0kt7bmDSBs5c1qxZU9QPQvwMC30QQgiJSJ8+fSTSgg2LUdUOqXCohofZfkRL8ELBiZMnT8qgHGltcHhQGdA6+4/BJdIaQ4Eqf9u3b5ciGKZdvCpWrBiQyZAhgzgEGPACtP/cc8/Z2jFFNA4cOBC2X6goB8cRxQgM7777rtqyZUug2txfBalyGPAiFQ0D7EgRAqR2mWgkHCsUWDFFQ9wI1ddo27EycuRISakzkRJs6mzVh5frlBJgY6Y4CBwzVPj8t/FiX25AP3DKkNppgDPu3H/Oa/soCIJCKkhBXbBggUx4OHnsscfk83Dg7+DaYKPncI4uHC9MGKDoDZx44yRv3brVlsbrtT1Ez1Ah04AIHNJTYX/OCCshhJEyQgghHkCEBAMzrGvB2iis++natavMkGMgjoEnIgIoyw4w+Me6IKxFgnOGyoZIv4KDghn2UCCC8Pbbb8ugDWX2UQkO7cKpGD9+fGAgijLvSKlENAdVAdG+FazjgfOIc8TaKpy/KRNvBVUGMQjF4BdrdzAYRXsY6OKzvws4Ykg9Q7pnJGcPg1asJ0LqIdI/TaTCGZWK1Ndo27ECeegX1+vHH3+UgffgwYOjuk4pBSmfcIwxEYDzhR2FK2H/d+PFvtzAOjA4HZiogH5QXh6OiHW9YrTtY90mJkJwDd1SML/88ktpJxxIlYUOEbFG6qoVbNlg7kfoHRvE433lypVlbdzy5cvVq6++aqu86rU9RNGxbQSiarBRTH7A0cf2E+EixYSkVRJQ7SPWJ0EIISR1gEETBlwY3BcvXtz2GdaboDAGnBUMEgFmwjGTjpTFSpUqBaUlYVCKdCiUksfg0TqrbopF4OUE0TQ4A1inBqcOg1frOhecJ5wMRObgOMApwHmjiIBZx4avN7SRnJwszhAGi3AeUb4bqWDWNDtELiBr1tOhPwas98H+V1g/Y10vhQErnE+zR1M44CDBkUUKIMrTW3E7J/QPesNniEpa939zk3fra6R23Fi2bJlEqRAFg4Nl9ilDpM+qfy/XKZTe3AglC53hPFAQJpQMyqzDBqx9Q8QKESiUzU8JXuwrFCjigRLykIPeEDHC2iprGq/X9qFfOEdw5EyhGAOcHVwbODnhHG3co9aIlRU4X877DymMK1asEKcSWxg414pF0x7sEhF12BPWpaGvzvV/hJD/h04ZIYQQQoKcMq/rhMg/B1JesZ7TpIpawVouRKYwKWItuEMIiU9Y6IMQQgghJBWBSCjSBLFmC5tIOx0ygM2psUaTDhkh/oCRMkIIIYREnXJI/jmQAom0U6T7Ii2YEOJ/6JQRQgghhBBCSAxhSXxCCCGEEEIIiSF0ygghhBBCCCEkhtApI4QQQgghhJAYQqeMEEIIIYQQQmIInTJCCCGEEEIIiSF0ygghhBBCCCEkhtApI4QQQgghhJAYQqeMEEIIIYQQQmIInTJCCCGEEEIIiSF0ygghhBBCCCFExY7/A5p2cfNEl5CrAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 880x770 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = nps.sort_values('per_day_core')\n",
    "fig, ax = plt.subplots(figsize=(8, 7))\n",
    "ax.barh(t.name, t.per_day_core, color='#cf3b26', label='per km² of visitor core')\n",
    "ax.barh(t.name, t.per_day_park, color='#9aa5b1', label='per km² of park')\n",
    "ax.set_xlabel('Recreation visits per km² a day, 2025'); ax.legend(frameon=False); plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c38645e9",
   "metadata": {},
   "source": [
    "## 2. How much of a park is core"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "571c5f71",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "median core share: 8.63 %\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>core_km2</th>\n",
       "      <th>area_km2</th>\n",
       "      <th>core_share_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Wrangell-St. Elias</td>\n",
       "      <td>103.09</td>\n",
       "      <td>53337.29</td>\n",
       "      <td>0.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Denali</td>\n",
       "      <td>89.00</td>\n",
       "      <td>24389.34</td>\n",
       "      <td>0.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Grand Canyon</td>\n",
       "      <td>104.13</td>\n",
       "      <td>4869.39</td>\n",
       "      <td>2.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Olympic</td>\n",
       "      <td>97.49</td>\n",
       "      <td>3717.10</td>\n",
       "      <td>2.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Death Valley</td>\n",
       "      <td>373.49</td>\n",
       "      <td>13900.61</td>\n",
       "      <td>2.69</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  name  core_km2  area_km2  core_share_pct\n",
       "24  Wrangell-St. Elias    103.09  53337.29            0.19\n",
       "23              Denali     89.00  24389.34            0.36\n",
       "3         Grand Canyon    104.13   4869.39            2.14\n",
       "8              Olympic     97.49   3717.10            2.62\n",
       "21        Death Valley    373.49  13900.61            2.69"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('median core share:', p.core_share_pct.median(), '%')\n",
    "p.sort_values('core_share_pct')[['name', 'core_km2', 'area_km2', 'core_share_pct']].head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c54d62b",
   "metadata": {},
   "source": [
    "## 3. The seasons\n",
    "\n",
    "Visits per km² of core a day (a month's visits over the core and the days in the month), the average of each calendar\n",
    "month 2015 to 2024."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b708a5be",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "month_of_year            Jan    Feb    Mar    Apr    May    Jun    Jul    Aug    Sep    Oct    Nov    Dec\n",
      "park                                                                                                     \n",
      "Zion                   108.0  136.0  335.0  404.0  461.0  541.0  524.0  454.0  475.0  427.0  257.0  167.0\n",
      "Great Smoky Mountains   59.0   67.0  107.0  125.0  154.0  209.0  219.0  182.0  184.0  212.0  135.0   96.0\n",
      "Acadia                   6.0    6.0   11.0   38.0  107.0  216.0  306.0  320.0  264.0  207.0   27.0    7.0\n",
      "Yellowstone              4.0    4.0    3.0    6.0   43.0   83.0   97.0   86.0   79.0   27.0    2.0    3.0\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 990x440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s = m[m.year <= 2024].groupby(['park', 'month_of_year']).visits_per_km2_core_per_day.mean().unstack()\n",
    "order = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']\n",
    "four = s.loc[['Zion', 'Great Smoky Mountains', 'Acadia', 'Yellowstone'], order]\n",
    "print(four.round(0).to_string())\n",
    "four.T.plot(figsize=(9, 4), ylabel='Visits per km² of core a day'); plt.legend(frameon=False); plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f2e1efa",
   "metadata": {},
   "source": [
    "## 4. Zion's core, mapped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a28cc57f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Zion: core 33.2 km² of 602 km² (simplified shapes)')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 770x770 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "parks = gpd.read_file(f'{DATA}/geometry/parks.geojson'); cores = gpd.read_file(f'{DATA}/geometry/cores.geojson')\n",
    "z = parks[parks.key == 'ZION'].to_crs(32612); zc = cores[cores.key == 'ZION'].to_crs(32612)\n",
    "ax = z.plot(color='#e8e2d0', edgecolor='#8a7f68', figsize=(7, 7)); zc.plot(ax=ax, color='#cf3b26')\n",
    "ax.set_axis_off(); ax.set_title(f\"Zion: core {zc.area.sum() / 1e6:.1f} km² of {z.area.sum() / 1e6:.0f} km² (simplified shapes)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc64be89",
   "metadata": {},
   "source": [
    "## 5. Check against Plotlay's export"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "224863b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True every core keyed to a park; 25 cores\n"
     ]
    }
   ],
   "source": [
    "print(sorted(cores.key) == sorted(p.unit_code), 'every core keyed to a park;', len(cores), 'cores')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec5634f9",
   "metadata": {},
   "source": [
    "## Read it carefully\n",
    "\n",
    "- **Counting methods vary by park** and change over time (traffic counters and per-vehicle multipliers in each park's\n",
    "  counting instructions). A jump between years can be a new method.\n",
    "- **The cores are drawn estimates**: one written rule over NPS's mapped roads, trails and facilities, not measured\n",
    "  footprints. Areas from the simplified shapes here differ slightly from the tables, which use the full shapes.\n",
    "- **Visits are not unique people.** Re-entries count again.\n",
    "- **Closures**: April 2020, Death Valley in September 2023 after the floods, and the shutdown of October and November\n",
    "  2025, whose figures may still change."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}