{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "3d4abc46",
   "metadata": {},
   "source": [
    "# Melbourne's footpaths through a day\n",
    "\n",
    "The City of Melbourne counts people walking past more than 100 sensors, every hour. A count is a number at a point.\n",
    "How crowded a footpath feels depends on how wide it is, and the counts don't say. The council publishes its footpaths\n",
    "as outlines too, but not which footpath each sensor counts.\n",
    "\n",
    "The shapes in `data/geometry/` were made in [Plotlay](https://www.getplotlay.com). For each of the 53 sensors with a\n",
    "clear footpath, the council's own footpath outline was picked with one click. The Princes Bridge zone is a strip along\n",
    "the bridge at the council polygon's width. The sensors were then joined to the zones by position, and each zone was\n",
    "keyed by its sensor's id. With a shape there is an area and an edge, so there is a width. With a width, a count becomes\n",
    "people per metre of footpath and space per person.\n",
    "\n",
    "This notebook reads only the files in `../data`, recomputes every number it shows, and runs top to bottom in under a\n",
    "minute."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ee1659fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json, math\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "DATA = '../data'\n",
    "pd.set_option('display.width', 140)\n",
    "INK, RED, MUTED, FILM = '#1d4f91', '#cf3b26', '#5b6573', '#f2efe6'\n",
    "WALK = 1.2          # m/s: the walking speed assumed for space per person\n",
    "CAR = 2.4 * 5.4     # a car space (AS/NZS 2890.1, user class 1A): 12.96 m²\n",
    "plt.rcParams.update({'figure.dpi': 110, 'axes.spines.top': False, 'axes.spines.right': False, 'font.size': 10})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fd16d7f",
   "metadata": {},
   "source": [
    "## Sources and licence\n",
    "\n",
    "Pedestrian counts, sensor locations and footpaths: City of Melbourne Open Data, under CC BY 4.0. The counts cover 1\n",
    "November 2025 to 31 October 2026. The footpath zones were made in Plotlay from the council's footpath outlines, and one\n",
    "was drawn as a strip. There is nothing from OpenStreetMap and no imagery in this repository. The full credits are in\n",
    "`NOTICE`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ff4cce5",
   "metadata": {},
   "source": [
    "## Load the tables\n",
    "\n",
    "- `sensors.csv`: the 57 sensors with at least 300 complete days in the 12 months. Each has its zone check, and four have\n",
    "  no zone, with the reason given.\n",
    "- `hour_of_day.csv`: the average people in each hour of the day, weekdays and weekends apart, as the council's portal\n",
    "  worked them out (`avg(pedestriancount)` grouped by sensor and hour).\n",
    "- `daily_totals.csv`: people a day per sensor, with the hours reported (24 is a complete day)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a4a62aab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "57 sensors, 53 zones, 53 with hours, 20728 sensor-days\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "zone_check\n",
       "ok              49\n",
       "no zone          4\n",
       "adjusted         2\n",
       "can’t verify     2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sensors = pd.read_csv(f'{DATA}/counts/sensors.csv')\n",
    "hours = pd.read_csv(f'{DATA}/counts/hour_of_day.csv')\n",
    "daily = pd.read_csv(f'{DATA}/counts/daily_totals.csv', parse_dates=['date'])\n",
    "zones = gpd.read_file(f'{DATA}/geometry/footpath_zones.geojson')\n",
    "zones['sensor_key'] = zones['key'].astype(int)\n",
    "assert sensors.sensor_key.is_unique and zones.sensor_key.is_unique\n",
    "assert not hours.duplicated(['sensor_key', 'hour']).any()\n",
    "print(len(sensors), 'sensors,', len(zones), 'zones,', hours.sensor_key.nunique(), 'with hours,', len(daily), 'sensor-days')\n",
    "sensors.zone_check.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7d93cfe",
   "metadata": {},
   "source": [
    "## Width from the shape\n",
    "\n",
    "A footpath zone is a long, thin outline. For a strip of length L and width W, the area is A = L × W and the edge is\n",
    "P = 2(L + W). Solving those gives W = (P − √(P² − 16A)) / 4. Plotlay worked this out as the formula column `width_m`.\n",
    "Here it is again from the exported area and perimeter, and checked against a second method: the area divided by the\n",
    "long side of the smallest box around the shape. Zones whose two widths differ by more than 20% are left out of the\n",
    "comparisons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ae13bac2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "largest difference, Plotlay area vs GDA2020 MGA 55: 0.13 %\n",
      "width formula vs Plotlay width_m: 0.005 m\n",
      "51 zones compared\n"
     ]
    }
   ],
   "source": [
    "m = zones.to_crs(7855)        # GDA2020 MGA zone 55, metres\n",
    "def w_box(g):\n",
    "    r = list(g.minimum_rotated_rectangle.exterior.coords)\n",
    "    return g.area / max(math.dist(r[0], r[1]), math.dist(r[1], r[2]))\n",
    "zones['width_formula'] = (zones.perimeter_m - np.sqrt(zones.perimeter_m ** 2 - 16 * zones.area_m2)) / 4\n",
    "zones['width_box'] = m.geometry.apply(w_box)\n",
    "zones['area_mga'] = m.area\n",
    "print('largest difference, Plotlay area vs GDA2020 MGA 55:', round(float(((zones.area_m2 / zones.area_mga) - 1).abs().max() * 100), 2), '%')\n",
    "print('width formula vs Plotlay width_m:', round(float((zones.width_formula - zones.width_m).abs().max()), 3), 'm')\n",
    "s = sensors.merge(zones[['sensor_key', 'width_box']], on='sensor_key', how='left')\n",
    "s['width_ok'] = ((s.width_m / s.width_box) - 1).abs() <= 0.2\n",
    "comp = s[s['compare'] & s.width_ok]\n",
    "print(len(comp), 'zones compared')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "487592d5",
   "metadata": {},
   "source": [
    "## The city through a day\n",
    "\n",
    "Add the 53 sensors' hourly averages together and the city breathes in and out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e14455af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "weekday: 1,051 an hour at 4:00, 67,022 at 17:00, 64 times as many\n",
      "midnight: weekends 3.1 times weekdays\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 880x352 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "city = hours.groupby('hour')[['weekday_people', 'weekend_people']].sum()\n",
    "lo, hi = city.weekday_people.idxmin(), city.weekday_people.idxmax()\n",
    "print(f'weekday: {city.weekday_people.min():,.0f} an hour at {lo}:00, {city.weekday_people.max():,.0f} at {hi}:00, '\n",
    "      f'{city.weekday_people.max() / city.weekday_people.min():.0f} times as many')\n",
    "print(f'midnight: weekends {city.weekend_people[0] / city.weekday_people[0]:.1f} times weekdays')\n",
    "ax = (city / 1000).plot(color=[INK, RED], figsize=(8, 3.2))\n",
    "ax.set_ylabel('thousand people an hour'); ax.set_xlabel('hour of the day'); ax.set_xticks(range(0, 24, 3))\n",
    "ax.set_title(f'All {hours.sensor_key.nunique()} sensors added up', loc='left');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60fbb6ca",
   "metadata": {},
   "source": [
    "## Space per person at the busiest hour\n",
    "\n",
    "People an hour on each metre of width is the flow. If everyone walks at a steady 1.2 m/s, the number of people on\n",
    "each square metre is flow ÷ speed, so the space each person has is speed × 3600 × width ÷ people an hour. This is an\n",
    "estimate. It averages over the hour, so the busiest minutes are busier. It also counts the whole footpath width,\n",
    "including street furniture and café tables. At 1.0 m/s everyone would have 17% less space."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2fa4f497",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sensor_name</th>\n",
       "      <th>width_m</th>\n",
       "      <th>peak_wd</th>\n",
       "      <th>hour_wd</th>\n",
       "      <th>m2_weekday</th>\n",
       "      <th>m2_weekend</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sensor_key</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Southern Cross Station</td>\n",
       "      <td>4.4</td>\n",
       "      <td>2598.4</td>\n",
       "      <td>8</td>\n",
       "      <td>7.3</td>\n",
       "      <td>91.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Spencer St-Collins St (North)</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2822.3</td>\n",
       "      <td>17</td>\n",
       "      <td>8.1</td>\n",
       "      <td>17.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>124 Elizabeth Street</td>\n",
       "      <td>4.5</td>\n",
       "      <td>2405.3</td>\n",
       "      <td>13</td>\n",
       "      <td>8.1</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Bourke St - Spencer St (North)</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1750.4</td>\n",
       "      <td>17</td>\n",
       "      <td>8.6</td>\n",
       "      <td>13.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Elizabeth St - Flinders St (East) - New footpath</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2841.0</td>\n",
       "      <td>17</td>\n",
       "      <td>8.8</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>I-Hub Southern Cross Station - Bourke Street E...</td>\n",
       "      <td>2.2</td>\n",
       "      <td>1043.6</td>\n",
       "      <td>17</td>\n",
       "      <td>9.1</td>\n",
       "      <td>9.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>I-Hub Southern Cross Station - Lonsdale Street...</td>\n",
       "      <td>2.7</td>\n",
       "      <td>1274.6</td>\n",
       "      <td>17</td>\n",
       "      <td>9.2</td>\n",
       "      <td>9.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Princes Bridge</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2310.9</td>\n",
       "      <td>17</td>\n",
       "      <td>9.3</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  sensor_name  width_m  peak_wd  hour_wd  m2_weekday  m2_weekend\n",
       "sensor_key                                                                                                      \n",
       "9                                      Southern Cross Station      4.4   2598.4        8         7.3        91.7\n",
       "24                              Spencer St-Collins St (North)      5.3   2822.3       17         8.1        17.9\n",
       "184                                      124 Elizabeth Street      4.5   2405.3       13         8.1         8.4\n",
       "58                             Bourke St - Spencer St (North)      3.5   1750.4       17         8.6        13.8\n",
       "84           Elizabeth St - Flinders St (East) - New footpath      5.8   2841.0       17         8.8        11.0\n",
       "135         I-Hub Southern Cross Station - Bourke Street E...      2.2   1043.6       17         9.1         9.9\n",
       "133         I-Hub Southern Cross Station - Lonsdale Street...      2.7   1274.6       17         9.2         9.8\n",
       "5                                              Princes Bridge      5.0   2310.9       17         9.3         7.9"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "peak = hours.groupby('sensor_key').agg(peak_wd=('weekday_people', 'max'), peak_we=('weekend_people', 'max'))\n",
    "peak['hour_wd'] = hours.loc[hours.groupby('sensor_key').weekday_people.idxmax()].set_index('sensor_key').hour\n",
    "p = comp.set_index('sensor_key').join(peak)\n",
    "p['m2_weekday'] = WALK * 3600 * p.width_m / p.peak_wd\n",
    "p['m2_weekend'] = WALK * 3600 * p.width_m / p.peak_we\n",
    "cols = ['sensor_name', 'width_m', 'peak_wd', 'hour_wd', 'm2_weekday', 'm2_weekend']\n",
    "p.sort_values('m2_weekday')[cols].head(8).round(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c209e29e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Southern Cross Station: 2,598 people an hour at 8:00 on 4.4 m: 7.3 m² each (0.56 of a car space); at the weekend's busiest hour 92 m²\n",
      "Town Hall (West): 3,366 an hour on 8.1 m: 10.4 m² each on weekdays, 9.2 at weekends\n",
      "median of the 51 compared footpaths: 16.2 m² each on weekdays, 18.1 at weekends\n"
     ]
    }
   ],
   "source": [
    "sc, th = p.loc[9], p.loc[4]\n",
    "print(f\"Southern Cross Station: {sc.peak_wd:,.0f} people an hour at {sc.hour_wd:.0f}:00 on {sc.width_m:.1f} m: \"\n",
    "      f\"{sc.m2_weekday:.1f} m² each ({sc.m2_weekday / CAR:.2f} of a car space); at the weekend's busiest hour {sc.m2_weekend:.0f} m²\")\n",
    "print(f\"Town Hall (West): {th.peak_wd:,.0f} an hour on {th.width_m:.1f} m: {th.m2_weekday:.1f} m² each on weekdays, {th.m2_weekend:.1f} at weekends\")\n",
    "print(f\"median of the {len(p)} compared footpaths: {p.m2_weekday.median():.1f} m² each on weekdays, {p.m2_weekend.median():.1f} at weekends\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "032e7cff",
   "metadata": {},
   "source": [
    "## Weekday city, weekend city\n",
    "\n",
    "Plotlay's formula column `weekend_vs_weekday` divides the average weekend day by the average weekday (each the sum of\n",
    "the 24 hourly averages). Here it is again, and also from complete days only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9005b901",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sensor_name</th>\n",
       "      <th>from_hours</th>\n",
       "      <th>from_complete_days</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sensor_key</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Southern Cross Station</td>\n",
       "      <td>0.16</td>\n",
       "      <td>0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Collins Place (South)</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>La Trobe St- William St (South)</td>\n",
       "      <td>0.53</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Spencer St-Collins St (South)</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>St Kilda Rd-Alexandra Gardens</td>\n",
       "      <td>1.44</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>QV Market-Peel St</td>\n",
       "      <td>1.49</td>\n",
       "      <td>1.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Chinatown-Lt Bourke St (South)</td>\n",
       "      <td>1.56</td>\n",
       "      <td>1.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Lygon St (West)</td>\n",
       "      <td>1.58</td>\n",
       "      <td>1.57</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                sensor_name  from_hours  from_complete_days\n",
       "sensor_key                                                                 \n",
       "9                    Southern Cross Station        0.16                0.16\n",
       "17                    Collins Place (South)        0.38                0.38\n",
       "109         La Trobe St- William St (South)        0.53                0.53\n",
       "23            Spencer St-Collins St (South)        0.54                0.54\n",
       "29            St Kilda Rd-Alexandra Gardens        1.44                1.43\n",
       "27                        QV Market-Peel St        1.49                1.48\n",
       "20           Chinatown-Lt Bourke St (South)        1.56                1.54\n",
       "31                          Lygon St (West)        1.58                1.57"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = (hours.groupby('sensor_key').weekend_people.sum() / hours.groupby('sensor_key').weekday_people.sum()).round(2)\n",
    "full = daily[daily.hours_reported == 24].copy(); full['weekend'] = full.date.dt.day_of_week >= 5\n",
    "rd = full.groupby(['sensor_key', 'weekend']).people.mean().unstack()\n",
    "t = sensors.set_index('sensor_key')[['sensor_name']].join(r.rename('from_hours')).join((rd[True] / rd[False]).round(2).rename('from_complete_days'))\n",
    "t = t.dropna().sort_values('from_hours')\n",
    "pd.concat([t.head(4), t.tail(4)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "53251ad9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x352 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 2, figsize=(10, 3.2))\n",
    "for ax, (k, name) in zip(axs, [(9, 'Southern Cross Station'), (31, 'Lygon St (West)')]):\n",
    "    x = hours[hours.sensor_key == k].set_index('hour')\n",
    "    ax.plot(x.weekday_people, color='#b35806', label='weekdays'); ax.plot(x.weekend_people, color='#542788', label='weekends')\n",
    "    ax.set_title(f'{name}: weekends {r[k]} of a weekday', loc='left'); ax.set_xticks(range(0, 24, 6)); ax.legend(frameon=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17e6148e",
   "metadata": {},
   "source": [
    "## The busiest days\n",
    "\n",
    "The zoned sensors are added up on the days when all but two of them reported all 24 hours."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "49910d91",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "225 days counted; median Saturday 810,796\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>people</th>\n",
       "      <th>weekday</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2026-03-07</th>\n",
       "      <td>1003937</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026-03-08</th>\n",
       "      <td>997002</td>\n",
       "      <td>Sunday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026-03-06</th>\n",
       "      <td>965643</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026-04-04</th>\n",
       "      <td>943470</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2026-03-05</th>\n",
       "      <td>920328</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             people   weekday\n",
       "date                         \n",
       "2026-03-07  1003937  Saturday\n",
       "2026-03-08   997002    Sunday\n",
       "2026-03-06   965643    Friday\n",
       "2026-04-04   943470  Saturday\n",
       "2026-03-05   920328  Thursday"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zk = set(zones.sensor_key)\n",
    "fz = full[full.sensor_key.isin(zk)]\n",
    "n = fz.groupby('date').sensor_key.nunique(); ok = n[n >= len(zk) - 2].index\n",
    "cd = fz[fz.date.isin(ok)].groupby('date').people.sum().sort_values(ascending=False)\n",
    "sat = cd[cd.index.day_of_week == 5]\n",
    "print(len(ok), 'days counted; median Saturday', f'{sat.median():,.0f}')\n",
    "cd.head(5).to_frame('people').assign(weekday=lambda d: d.index.day_name())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f39199a0",
   "metadata": {},
   "source": [
    "## A map\n",
    "\n",
    "Each footpath zone is coloured by the space each person has at its busiest weekday hour, darkest where it is tightest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "77c74321",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ntRSLVsucxxLPW848ovq+Jwriby00NFTeL94j9aHPa1ufv3ldX5f51YGIiie9W0Tnz5+PKVOmyMlJYllPMWjdzc1NthY899xzcuWPnESLpWjREasyiZUzxJglMXYr++D8/v37y9tiTJkY9yVaFcS3avHtWkw6yLmayMcffyy/7S9ZskS2UIixVWLm/qBBg9T2E9/CxWQDcVwxlky0aIhji5aO7LNp86PL76DP+UqVKiXX8RYtyvoqqrqIsV1iRRzRwiJaYsSYO7GPmKQgJqpljo8TLXTidSGuvXhdZK6yIs4tJo1kl9fvLVrO8lohypDXihinJlqnfv/9d9lik5KSIluX8pLXY/Stf0Fff5nnE9dRvN7ze85FncUKO2L8pHj+RM+FeK7i4+OzVjTS9XnNba15XX4nXc9hyPMjiMdPmDBBjkvv3bu32n0vvPACtmzZIluPtdHnOSnI35AoE7+byBLwww8/4JdffpHjYletWiX/XkQdxd9O+/bt5cx28ftkH3Oq73uiII7XsWNH+ToRY0b1oc9rW5+/eV1fl/nVgYiKJ4WIRgvr4AsWLJAfBqJrylLXnzen38Gc6kJE5kcsHSqGTIkUTyL9FBGRVcyaJyIi0xEtw6KHavbs2TK9nRhzSkRkCRiIEhFZONH1/euvv2bl4BSTxIiIYO2BaHEY72NOv4M51YWIzIfIVyrGZ4qxw5MnTzY4kTwRUbEaI0pERERElBvDl7chIiIiIioABqJEREREZBIMRImIiIjIJBiIEhEREZFJMBAlIiIiIpNgIEpEREREJsFAlIiIiIhMgoEoEREREZkEA1EiIiIiMgkGokRERERkEgxEiYiIiMgkGIgSERERkUkwECUiIiIik2AgSkREREQmwUCUiIiIiEyCgSgRERERmQQDUSIiIiIyCQaiRERERGQSDESJiIiIyCQYiBIRERGRSTAQJSIiIiKTYCBKRERERCbBQJSIiIiITIKBKBERERGZBANRIiIiIjIJBqJEREREZBIMRImIiIjIJBiIEhEREZFJMBAlIiIiIpNgIEpEREREJsFAlIiIiIhMgoEoEREREZkEA1EiIiIiMgkGokRERERkEgxEiYiIiMgkGIgSERERkUkwECUiIiIik2AgSkREREQmwUCUiIiIiEyCgSgRERERmQQDUSIiIiIyCQaiRERERGQSDESJiMioVGkpUKWn8KoSUb7s8t+FiIhIN8ozG4Fr+wEooCpdF4o6vaCwseXlIyKt2CJKRERGoUqKfRqEylvA7ePArWO8ukSUKwaiRERkHAkPNYpU987x6hJRrhiIEhGRcSQ91ixLjufVJaJcMRAlIiLjEF3zOflV5NUlolwxECUiIqNQJWoGogrfEF5dIsoVA1EiIjKOhAeaZS4leHWJKFcMRImIyDhibmqWOXvy6hJRrhiIEhFRgalUSq3lCnsnXl0iyhUDUSIiKjjOjiciAzAQJSKigtMyUYmIKD8MRImIqHBSNxERMRAlIiKTtIi6+/HCE1Ge2CJKRETGWWc+p6AavLJElCcGokREVHDaktmXKM0rS0R5YiBKREQFFxepWebsxStLRHliIEpERAWiUqmA5DjNO5w9eGWJKE8MRImIqGDSkrQWM5k9EeWHgSgRERUMc4gSkYEYiBIRUcEwhygRGYiBKBERFQxbRInIQAxEiYjI+DlEmbqJiHTAQJSIiIyfQzSoOq8qEeWLgSgRERWMthZRj0BeVSLKFwNRIiIqmNi7mmXMIUpEOmAgSkREBlNlpGm/w9mTV5WI8sVAlIiIDJeeqrVYYefIq0pE+WIgSkREhnNwATxzjAet2JpXlIh0olDJRYKJiIgMo0pNBO6cgirpMRQ+5QD/ylAoFLycRJQvBqJEREREZBLsmiciIiIik2AgSkREREQmwUCUiIiIiEyCgSgRERERmQQDUSIiIiIyCQaiRERERGQSDESJiIiIyCQYiBIRERGRSTAQJSIiIiKTYCBKRERERCbBQJSIiIiITIKBKBERERGZBANRIiIiIjIJBqJEREREZBIMRImIiIjIJOxMc1oiIiIiyxQbG4uEhASjHc/NzQ1eXl6wRgxEiYiIiPQIQkNDyyMm5pHRrpm3tzeuXr1qlcEoA1EiIiIiHYmWUBGEHt7zNwID/At83SIio9CoZQd5XAaiRERERJQvEYSWKhXEK1VAbBElIiIi0pdK9e9WUCojHMOCcdY8EREREZkEW0SJiIiI9CZaMo3Rmqmy6mvPQJSIiIhIb0pApTTCdVNa9bVn1zwRERERmQRbRImIiIj0xq55Y2AgSkRERKQvzpo3CnbNExEREZFJsEWUiIiISG/smjcGBqJEREREBsWhxkhoD6vGrnkiIiIiMgm2iBIRERHpjV3zxsAWUSIiIiIyCbaIEhEREemL6ZuMgoEoERERkd7YNW8M7JonIiIiIpNgiygRERGRvlTKf7eCUhnhGBaMgSgRERGR3tg1bwzsmiciIiIik2CLKBEREZG+OGveKNgiSkREREQmwRZRIiIiIr1xjKgxMBAlIiIiMqhnXgSjBaMq+CEsGrvmiYiIiMgk2CJKREREpDd2zRsDA1EiIiIivTEQNQZ2zRMRERGRSbBFlIiIiEhfzCNqFGwRJSIiIiKTYIsoERERkd6UT7eCUlr1tWcgSkRERKQvds0bBbvmiYiIiMgk2CJKREREpDembzIGBqJEREREepNrfBrhuqkMe5RKhfDwcNy7dw/BwcGoXLkyFAqF1n0vXbqEmzdvIiQkBBUqVIA5YSBKREREZEGuXLmC5557DpGRkahWrRrOnj2LMmXKYMWKFShXrlzWfikpKRg4cCB27dqFevXq4ejRo+jYsSMWLFgAe3t7mAOOESUiIiIqUPd8QTb9jRs3TraIXr16Ff/884/8mZiYiBdffFFtvw8//BD79+/HuXPnsG3bNpw5c0b+/Oyzz2AuGIgSERERGTpr3hibng4fPowePXrA1dVV3nZ3d5e3Dx06lLVPeno6Zs2ahbFjxyIwMFCWlS5dGsOHD8f06dNlIGsOGIgSERERWZCQkBBcu3ZNrUzcLl++vNq40JiYGDRu3FhtvyZNmsgu/Rs3bsAccIwoERERkYlnzUdERKiVenh4yE2b3377Df369cNbb72FRo0aye73PXv2YPXq1Vn7iElMQkBAgNpjM2+L84mA1tQYiBIRERGZWKNGjdRuT5kyBR999JHWfcUsedGyuXTpUhw/fhwXL15Es2bNsrrgM7vmBVtbW7XHZt5OS0uDOWAgSkRERGTilZUOHz6sFkjm1hqalJSE1q1bo1WrVrh+/boMLEVQOWDAADzzzDMypZODgwO8vLzk/nFxcWqPz7ydeb+pcYwoERERkcFrzRtjgwxCS5UqlbXlFoiePn0ad+7cwciRI7NaN0UqJnFbBKYXLlyQZVWqVIGNjY0MTLMTt8X+FStWNIvnnIEoERERkYUIDg7OmoyUneiez36/aPF89tlnsXjx4qx9xEz5JUuWoFOnTnBxcYE5YNc8ERERkYm75nUlWktHjRqFd955Bw8ePJAJ7UUr6bRp0/DSSy/B19c3a99vv/0WLVq0kK2lXbt2xZo1a2TA+ueff8JcsEWUiIiIyCTJ7FUGzbwX+UHnzZuHqKgo2cIp0jSJn7/++qvafrVr15aTmUqUKCFbRsWM+RMnTqBq1apm83wrVOaS0ZSIiIjIzInxmSIx/K0T61EqyL/gx7sXhTJ1u+P27duytdPasGueiIiIyEK65osbds0TERERkUmwRZSIiIjIINbdmmkMDESJiIiI9MWueaNg1zwRERERmQRbRImIiIj09t+qSAWjtOprz0CUiIiISF/smjcKds0TERERkUmwRZSIiIhIX2wRNQq2iBIRERGRSbBFlIiIiEhvnKxkDAxEiYiIiPRlRV3zDx48gL29PTw9PY1+bHbNExEREVGuPv/8c8yZMweFgS2iRERERAYx/9ZMY/Dz80NUVBQKA1tEiYiIiPSmBFRG2GD+Ce379u2LZcuW4ebNm0Y/NltEiYiIiChXu3fvRnJyMqpUqYIGDRrAx8dH7f7Ro0eje/fuMAQDUSIiIiJ9WdFkJVtbWzRt2jTX+21sDO9gZyBKREREpDcRQBojiFSZ/bUfMWKE3AoDx4gSmSFVWjJUcZFQpSRAZQHflomIiAzBFlEiM6O6eRSqsxueDmJ/WmZjB5QoDbiUgMLZC3D2fLqJf3tAIe4nIqIifLPOnGxkhOOYucePHyM+Pj7X+728vODm5mbQsfnpRWRGVEmxGkGopEwHHl6Xm7b2UVnm6gN4BELh4QeUaQCFo2FvCkRERNlNmTIFP/74I3Lz/fffY+LEiTAEA1Eic5IcZ/i34ycP5aaKABB9GYrmY41dOyIissLJSq+99hqee+45tbLY2FiZ5P7+/fvo37+/wcdmIEpkTjyDAa9SQOydgh3n0W2olBlQ2Ngaq2ZERGSlk5VCQkLkllOXLl1Qr149xMTEICgoyKBjMxAlMiMycGw+Boi5BTyJAZIfQ5X0GEh8JINL2UWvCxdvBqFERFSoRNqmRo0a4dixY6hRo4ZBx2AgSmRmFAobwKfcv5u4ne0+OYM+LREQwenTTQaqSbFAXOS/3fPuflBU72Ky+hMRWU/XvDEmK6lgqZRKJY4fP462bdsafAwGokQWRKFQAA6u/26eQRqBKhERFRXr6Zpfvnw5tm/frlaWlpaGQ4cOyTXo27VrZ/CxGYgSERERUa5EsBkeHq5W5uDggNatW2PSpEkaS37qg4EoERERkZ7EUCljLDiisoCu+QkTJsitMDAQJSIiIqJ8paam4sKFC7h79y7Kli2LKlWqyHXoC4JLfBIREREZurKSMTYLsHnzZlSsWBF16tRB165d5Sx58e8jR44U6LgMRImIiIgMnqxkjM283bhxA7169ZJjQvfs2YPLly9j27ZtKFOmjMwlmtfyn/lh1zwRERER5WrFihVo37495s2bl1VWoUIFtGnTBvXr18fff/+Nvn37whAMRImIiIj0ZUVLfEZFRcnE9TmJ8aEiEBX3G4pd80RERESGJrQv8KYy+2svuuD/+ecfjRn+SUlJ2Lt3L0qXLm3wsRmIEhEREVGuBgwYgJMnT6JTp05YunQpdu7cKbvpW7VqJRPbd+jQAYZi1zwRERGR3qxnZSU/Pz/ZIjp+/HgMHDgwq7xjx44yMHV0dDT42AxEiYiIiChPdevWxcGDBxEbG4t79+7J7no3NzcUFANRIiIiIr0ZabIS9DuGGKd58eJFrfcpFApUrlxZozwxMVFOKAoICICzszMKwsvLS27GwkCUiIiIyEJmzSclJcmcnjldv34drq6uiImJyXZoFSZPnozff/8dvr6+ePDgAV577TV89tlnBlX10aNHuHnzJtLT09XKReuo6L43BANRIiIiIgvh4uKC8PBwjQAxMDAQ/fv3VyufNm0a/vjjD+zbtw+1a9fG0aNH5QSjoKAgvPzyyzqfU6lUYuTIkWp5RLP7/vvvMXHiRIN+HwaiRERERHoTS3MaY3lOZYGPsGjRIqSkpGDUqFFqraEiQBw9erQMQoUGDRpg6NChMkDVJxBdtmwZNm3aJH/WqlVLY335kiVLGlx3BqJEREREFpzQfu7cuahevbpa0vmrV6/KSUWiBTQ7cXvGjBm4e/cugoODdTr+mTNn8OKLL6Jfv34wNgaiRGRyqrRUJB/eg+SDu2Dj7Qv3/qNg41rw2ZhERJYiIiJC7baHh4fc8nP+/HkcOXJEtnJmd/v2bfkzZ7ApuuUz79c1EBWTnCIjI1EYGIgSkcmk3bqGxG3rkbRjE5RxsVnlyRfPw//LP/jMEJHV5BFtlGMJzSlTpuCjjz7SqTXU3t5edrlnl5ycLH86ODiolWfm/My8XxfdunVD586d8eqrr8Lf3x/GxECUiIqUMjkJyXu34cnWdUgLP611n/Tzx5F0KRzOlarw2SEi85S5RKcxjgPg8OHDcsJRJl1aQzMyMrBgwQJ0795dY5ymu7u7/JmQkKBWnnk7v+OHhYVh/fr1Wbfj4+NRqVIlGTCL2fnZiXGoog6GYCBKREUi/X4kEpb/iaTdW6BKSsxzX5ELL3LhPIRM/ZzPDhFZhcDAQJQqVUqvx/z9999yHGj2SUqZRNAoXLlyBS1btswqF7fFe2yFChXyPLaYkGRn91+Y2LRp01z3tbExfMV4hSrnCvZEREamTHyC6AkDoXwYrdP+cVGxeBCvQPMz56EowBscEZGx3blzB6VLl8bNf35EqQDvgh8vMgZln31NjtnUNxAVy23u2bMHt27d0pjJLojWSzEmdM2aNVllYr14kYt0165dMAdsESWiQpd65li+QajIU/c4Mhaxdx8iMfaJLHu0exe82zzDZ4iIKAex1ObatWtl/k5tQajw5ZdfyvXgP/30UznOc/Xq1XLN+B07dsBcsKmBiAr/jcYj9+Xg7MpVgOe4N5FQoSnunbuVFYQKd+f+afHPjuh0ilq/HuffeAO358yRt4moOE1WMsamPxFMli1bVmu3fKZnn30WW7duleNPhw8fjlOnTslAtHnz5jAX7JonokKnUirx4J2xSLt49t83HkcnOLfsAJeOvWBfsZocrxR/5gwONm6g/kAbG7S5fQ/2JUpY5LMkgs6jffogKlu3WK2wMJTJ44ODiCyka377d8brmm/7ukFd88UBu+aJqNCJcZ4+H3yHpN1/Q+HiCqfGrWDjop4n1L1mTXjUb4C4Y0f/K1QqEbFkMcqMf8linqU7mzbh4h9/IDUmBn4NG6oFocL1H35A6ZEjZfBNRGTtGIgSUZGwcfeEa9e8V+UIHj5CPRAV3fN/zkHpF8dbROB2a+1a7OjVK+v2g337kLMtV7T8Pj56FF4NGxZ5/YioeK6sZMk4RpSIzEZA/wFQ5Ei+nHDmNOJPnIAluL9/v9rt3DIM3po1q0jqQ0TFd4xoUbpw4YKcaV8YGIgSkdmw8/CQwWhOd+fOgSUo2ayZRlmKlv1uzZiB9BxJpomIzNX06dPlcqCvv/46Ll26ZNRjMxAlIrMiuudzEuNELWG2eakuXTTK/ssBoC5i+fJCrw8RFUHXvDE2M/f+++9j8uTJMh9plSpV0K5dO6xcuRLp6ekFPjYDUSIyK17NmsOlYkW1MpnUXmmEpfQKmY29PWq8/bZamfiIydCyL7vnichSiOVD33nnHbkq08aNG+Hi4oL+/fujTJkymDJliswkYCgGokRkVsSkpND/fZh128bZGZWnfQ9FLgmbzU3F0aM1yrQtaPpo/37Enz9fJHUiokJgRS2i2Zfy7Ny5M9atWye76AMCAvDxxx+jXLlycpWny5cvQ18MRInI7AT0649Ge/aj9uJlaHXlOoIGD4Gl8KhYEf6tW6uVpeYyHeF2WFiR1YuIjM1YQajKop4a0fopWkHF+vXh4eEyof6MGTNw8+ZNNGzYUP7UBwNRIjJLnvXrw69nT4tMZl9xzBiNsjQt+92ePRsZKdqmMxERmQ8xRn/Lli3o3bu3bP1csGCBnLgkgtKwsDAZjO7fvx9NmzaV++mDgSgRkZGV7dtXo0zbHPm02FhErVvH609EZu3dd9+VXfLJyclyfXvRBf/mm2/C29tbbVhVq1at4OTkpNexmdCeiMjI7MS41pdfxsVff80qE51v6VredG/PmoWgfnkn+iciMyR71Y2R0B5mr0OHDhg7dixCQ0PzDVj1xRZRIqIimrSUrGW/+3//jcQbN/gcEJHZevbZZ/MNQg3FQJSIqBD41K2LErVqqZXlNhr09hzLSNhPRNY7az4iIgKTJk2SOUQbNGigti1evNjg4zIQJSIqJJVefFGjTMyg1zZpSZWhLdsoEZHpxcfHy4Dz2LFjiImJgZubG0JCQnD27Fk5brRUqVIGH5uBKBFRISk/aBBsnZ3zXWkp+c4d2UVPRBbEilpEly9fjkqVKmHXrl1yQlKvXr1k2ZEjR3Dv3r0CddszECUiKiQOXl4ol2MikjKXVE63mFOUyMKojLiZN7GikuiSFzPj7ezskJSUJMtr1qwpJzLt2LHD4GMzECUiKkQVtExa0tY9H7lyJVKio/lcEJHZSUxMhKurq/y3v78/bmSbYGlvb4+EBG0J6nTDQJSIioQqKQbKO/ugDF8B5Y3tUCm1tQsWP/4tW+o0e164M29eodeHiIzEirrmsxNd80uXLpUTlObPn49Vq1ahVo6JmfpgHlEiKjSqjDQg9ipU9w4B6dnCr6SHUNm7QRHcuNhffdGVVf+rr3Ds7bfVysXVyJn2OXLVKoS++WaR1o+IDGSsXnWV+T8Dolu+xNNV7ho3bozRo0dj2LBhUCqVmDBhglxRyVAMRImoUFo/VVEngUeXc9/pSYTVXPnQYcM0AtEULYGog79/kdaLiEgX3bp1U7s9bdo0fPrppzIQzeyyNxS75onIqFQJEVBdXJl3ECq4B1vNlXcOCEBwly5qZek5xora+/ig1vTpRV43IjKQlXbNZ3J2di5wECqwRZSIjEr1+AagEnPDc6Gwg6JUM8CnslVd+Sovv4y7mzaplcUDeGbpUgR26gR7Dw+T1Y2IDGCsIFJlnoGoyBcaFxen075izXkPA9/DGIgSkVEpnH21D3nyqQKFb3UoXHyt8ooHdewI99BQxF+9qlZeul8/OY6UiMicfPzxx/jxxx912vf777/HxIkTDToPA1EiMq4SoUDCPSD2BmDnCEVAPcCrPBQ21v12Y2NrizYrV+LEBx9AlZaGjJQUtFywgEEokcUq3rOVJk2ahIEDB8p/i7GgYnKSSFw/atQomcLp1q1b+OWXX2T6psz9DGHdnwxEZHQKhQ0UZVoDYiM13rVro+26dbwqRGT2ypYtKzdBpGoqU6YMNm/erPbluX///qhbt67MKxoQEGDQeThZiYiIiEhfVjRZ6dSpU3jmmWc0enCcnJzQrFkznDx50uBjMxAlIiIiMkTxX91TEhOR9u3bh5zS0tJw6NAheHp6wlAMRImIiIgoV4MGDcKePXvQu3dvrFu3Tgafy5cvl4nuxez6rl27wlAcI0pERESkL9miaYz0TTB7ISEh2L59O1599VX07Nkzq7xDhw7YuXOnwambBAaiRERERPoq5nlEc2rSpAkOHz6MR48eISIiAqVLl4a7uzsKil3zRERWRmUhH3xEZB4ePnyY9W+x5ny1atWyglCR2un8+fMGH5uBKBGRFXhy+RIuv/c2/vF0wZ5ypRC5fKmpq0Rk4YwxU0llEX3zX331FXbs2KH1vvHjx+Pvv/82+NgMRImIiqmM5GQZcB5sUAeHGtTB7V9/luXpsY8Q/spLSNdx+T4ism516tRB3759ceHCBbXyyZMnY8WKFXKsqKE4RpSIqJh5En4Bd2fPwp3pv+e6jzIpCUnXrsK9Tt0irRtRsWFFY0QHDx6M06dPy9nxBw8ehJ+fHz777DP8/vvv2LZtm+yqNxQDUSKiYiAjKQnRa1bh+uefIvnWzXz3d61aDa7VaxRJ3YiKJSsKRIUvvvgC169fR48ePeSKSp9++ik2btyIxo0boyAYiBIRWbCEc2dxN2ym3HRV4bMvETR8JGzs7Qu1bkRUfCgUCsydOxfPPvss3n77baxcuVL+u6AYiBIRWZiMJ08QtWoFrn/+CVLu3dPpMSV79EKpF1+CV7PmGsv0EZEBjDXPSGWeVz8sLAzr16/XKLe1tUXJkiUxe/ZsuQmjR49G9+7dDToPA1EiIgsRf/oU7s6agXtz5+j2AIUCFb/4GgEDBsHe27uwq0dkZcwnElWpVPl+wRRplmxsdJ+jLgJOOzvNMNHf319u2elz3JwYiBIRmbnoNatx8Y2JSHtwX6f9/fo8h1IvjIdn4yZs/SQqpu7cuSO7yDds2ICMjAy0bdsW33//PcqXL6+236+//oqvv/5a7l+mTBm8++67GDduXL7HHzFihNwKG9M3ERGZseh1a3B2+JB8g1AbR0dU+mYaWt64ixpz5sGrSVMGoURFMVnJGJueIiMj0bRpU9liGR4ejri4OJnPc9myZWr7iTGdkyZNksFoWloavvvuO7z00ksa++kqNTUV+/fvx4IFC3DmzBkkJiYiKSkJBcFAlIjIjMWfPJHn/f4DBqH+tp1oHRWDUuPGw75EiSKrGxGZxrvvvitXOJozZw4CAwNl13inTp3wzjvvqO0nZrYPGzYM3bp1k/v07t0bAwcOxCeffKL3OdetW4dKlSqhefPmGD58uFx7XgSl4pgFwUCUiMiMebfRnJVq6+6OStN+QKtbEag+IwyeDRux9ZPISlpE09LSsHTpUpnbUwSXYuynNjdv3sSVK1fQrl07tXLRhX/27FlER0frfE7R6tqvXz/ZpS8e98orr8hycWyx7rxoHTUUA1EiIjNWolVr2eXu2aQpAocOR4Mde9DqdiRKjRkHO09PU1ePyHoZORCNiIiQ4zgzN9Hdrs2lS5dkd7iDg4NsnRQ/xeQhMXM9+5rwIuenULZsWbXHi3Gi2e/XhVg9aejQoXjvvffkjPns6tatK5PcG4qBKBGRmRNd7vW3bEfVX36HR736bP0kKoYaNWqE0qVLZ21iPKc28fHx8qeYqCTGhYpxmmJ1oz179mDAgAFZ+2WO3XRyclJ7vLOzs9r9uhDnDA4O1npfbi2yumIgSkRERFSQDE4F2Z46fPgwbt++nbW9/vrr0MbFxUX+FMttPv/887JFtGbNmvj444/luM2LFy/K+11dXeVPEahml3k7835dVK1aFcuXL9c4lpitLwLg2rVrw1AMRImIiIhMHIkGBgaiVKlSWZuHh4fWM4r0TCJnaIUKFdTKQ0ND5U8RxGa/fePGDbX9Mm/nTPOUFzE+NCEhAXXq1MEPP/wgj3HhwgU58UnUVbTmGoqBKBFZDZVSiX1Tp+KP0qUxq3JlRBw+bOoqERHpxc3NDS1atJCBYM4JRUJmgCq60kVL5pYtW9T2E7fr1asHHx8fnc8pWk9F97+fn59MB7V27VrMnDkTT548kUt9FgQT2hOR1Tj5xx/Y/9FHWbc3DBmCMZcuccwlEenPwBygWo+jJ9EN3759e5kftH///rI7/oMPPpAtlOXKlcvab+rUqRg0aBA6dOggUzitXr0aq1atwpo1a/Q9pUzdtHfvXpnDNCoqCkFBQRoTlwzBQJSIrMaNv/9Wux175QruHTyI4KZNTVYnIrJQJgxE27RpI/N6ikDz/fffl0Fh5qz2nF3qKSkpcmWll19+GSEhIVi0aJHB68KLhPbXrl2Tm0gdJVpKxTCBzAlQhmAgSkRWwyvHmCrh5O+/6xWIZiQm4sG6NYicG4b0uDiUfu0N+PUfaOSaEhHlrXPnznLLj5jQJLaCEoHvq6++KvOTiiB02rRpsmX022+/xebNmw0+LseIEpHVaDR5skbZ+fnzkZJLvr7sEs6cwpU3XsOBcoG4/Op4xB87iqTLl3B54stIvnWzkGpMRGbLhEt8FjUmtCciMgJXPz/416+vUX5h0SKt+6fHxyHizzAcrFwOJ9u2QuT8PzX2UaWnI/7EMT4/RFRsrWBCeyIi46g9bpxG2elZs7L+rVKpEHf4EC6+OAYHQ0vj6uTXkf7oUa7Hs3F2hnv9hnx6iKyNMTI3qdRziZorJrQnIjKSKgMHwtbBQa0s6tgx3Nu1E3f/+BX7gnxwulsH3F+1PN9j+fbuizpbd8GpVGk+P0TWRqU03mbmCjOhPScrEZFVcfTwQNXBg3H2z3+72T3sbRHo7IBr/Xrq9Hhbdw+Ue/9DlOzbD3aeXoVcWyIi0xOz7z/88EOZ0P6ll16SCe3FEqHGSGjPQJSIrE7N0aMRPncuqnq6wM3eVqfH+A8ZisARo+FWu26h14+ILIAJ0zcVtcyE9qNGjZIJ7QWRtqlTp05MaE9EpK/g5s1RrnQQ3JLi89zPMbgUykx+F77de8HWzY0XmoisMhAVmNCeiMhIxDf54HbtkLp+tdb7A8e8gIChI+BatRqvORFZvQ0bNshk9s888wwCAgLkZizsmiciq1T/l99x4NwZ4NoVedu5UmWUeX0yfLp0g42Tk6mrR0TmTrRkKpVW0SIaHh4uV3BKT09HgwYN0K5dO7nEaLNmzeCQY/KnvpjQnoiskq2zM1ocPIaGpy6g0dnLqL/3MEr2eY5BKBFRDm+++SZiYmLk6kpNmzaVa9WL1tESJUrI1Z32798PQzEQJSKr5hgYBAc/P1NXg4gsjRWtrJQ5Yalr16744YcfcPz4ccyfPx9+fn5yec/Dhw/DUOyaJyIiItKXUnTNGyGIVFpGIHr27Fn8/fff2Lp1K3bv3g03Nze0bdtWpnXq3r27wcdliygRkYWLPHAAWwcOxLzgYGzu2xfpSUmmrhIRFSOTJ09GrVq1sGnTJhl8iq74yMhILFq0CCNHjoSvr6/Bx2aLKBGRhUqKikL00aPYJFojnnbvXV+1Cse/+AKNPv7Y1NUjKt6MtSqSyvxXVipdurTsmj9x4gS8vb3h6ekJLy8vlC1btsDHZosoEZGFubl6NdY3bowlAQHY1b8/FDnGmF2YNQvK9HST1Y/IqrrmjbGZuVdeeUVOVlq1apXMJzpr1iyEhobKf0+YMAHnzp0z+NgMRImILMit9evxT58+ePB0ckBGYiLsc+yTGBGBmxs3mqR+RFQ82dvbo3Xr1vj000/lONGwsDCkpaXh119/lbcNxa55IiIL8vD4ca0tCgrRw5et7EJYGEJ69izSuhFZFStaWSktLQ2HDh2Sy3yKoFPMklepVHKN+WHDhqFHjx4GH5uBKBGRBQlo1UpruS2A7J3xtzZuRMLdu3ALDi6yuhFR8fT222/j+++/R8WKFWUi+7feekvmERVjRQuKgSgRkQUJaN0a7qGhiL96Nc9AVKVU4uKff6L+++8XeR2JrIKYZKS0jslKw4cPx2uvvWaUyUk5cYwoEZEFUdjYoNKYMZrlWt7QRfe8CEiJqBCIHnWjJLSH2atdu3ahBKECA1EiIgtTYfhwKGxFG6i6nCXx16/j7o4dRVYvIiJ9MRAlIrIwLoGBKK1lJRNtb+gXZs4skjoRWR0rW+KzsDAQJSKyQLl1z+cc+H9t9WokP3xYZPUishpi2IuxNivGQJSIyAIFd+oEFy0z4nN2zytTU3FpwYIiqxcRkT4YiBIRWSAbW1tUHDVKp0lL52fOlDn/CltqdBQiZs/AnZ++Q8rdO4V+PiKTsqKu+a1Pc4fqe58uGIgSEVkoGYgqROiZd6voo3PnEHXoUKHUQczKj925HRfHDsexulVx44N3cPurT3GuT1cok5ML5ZxEZsGKlvjcuHEj9u/fn+t9Bw4cMPjYDESJiCyUe7lyCGrf3iSTllIjI3Dnx2ky+LwwpB9iNq1Xuz/lzm083rPLqOckIvMTGRkJLy8vgx/PhPZERBas8tixuPf332pliqetohnZyq4sXYrmP/wAB3d3g8+lyshA7K5/ELVwHh5tzn8te2VqisHnIjJ7IhG9qngntJ8+fTpWr16N8PBwODs7Y/PmzWr3x8bG4tixY/j4448NPgcDUSIiC1a6Rw84lSyJ5Pv31cpzBqLpT57IYLSaltn2+Um5dxfRSxcictZ0pMc+0ukxPt17oUS7jnqfi4jMh6urK3x9fWUQmvnvTAqFApUrV8bnn3+OSpUqGXwOBqJERBbM1sFBJrg/++23Gt3zYlPm6J7XNRBVpafj0T/bEL1oHh5tVW8FyUvguJfgP2QYnCsY/sFEZAnEBECVEcZ3qsx4stLzzz8vt0WLFskgtEOHDkY/BwNRIqJikFM0ZyCa2SqaPRCNPnwYD8+cgU/NmrkeS8x2j148HxEzf0dGQoJO5/do1hL+zw+Dd6dusHF0NOh3ILLYJT6NcRwzN3jwYK3lSqUSNjYFm27EyUpERBbOs3Jl+LdqpdMb/OWFC3NNvRQ+YjCON6qFO99/k28QqrC3R9DLr6HO3qOovnwtfHv2ZRBKVIx98803uHTpkvz35cuXUaFCBXh4eOC7774r0HEZiBIRFZNJSzllTlrKLrdVlq6/P1mnLnjP1s+g0ow/0ejSbZR9bwqcQ8obXGcii2ZFKysdPnwYa9asyRoLOmXKFFSsWBFffPGF/Pft27cNPja75omIioGyffvC4ZVXkBobq1ausLUFMjKy1qiv+eqrWh+fGhWZ67FtnF0QOG48/AYNhVPpMkauOZGFMlYyepX5981v374dbdu2zRrTKmbPHzx4UAamu3fvxr59+zBw4ECDjs1AlIioGLBzdkbo88/jwi+/qJW3W7YMCffuwblkSZTt1g32rq5aH+/bozcSjh1RK/Nq2wH+zw9HiWfbQ2Fn3h8XqfHxeHDmDLyrVoVTiRKmrg5RsZKUlCRnyQvnzp2Do6NjVuuoyCGaoON4cm3M+52FiIh0Vuu993B7wwYk3LgBl1KlUP+zzxDSp49Ojw0YORZp9+8j4eRxuDduAr8BQ+AYXMqsr75omYk4eBAb+/dHwp1/lxR18vbGwIMHUaJiRVNXj4o7K2oRrVmzJt5//3107doVP/74I9pnW0jj7NmzGKtlaJCuGIgSERUTouu976VLSLx3TwaiYj16XYku/DLvfgBzJ5YUvb1jB/a89RaiT5zQuD85JgZnZ81Cy6++Mkn9iIqjXr16YcaMGWjcuDFKliyJXbv+XTXt+PHjyMjIQKNGjQw+NgNRIqJixMbeHm5ly6I4Oj19Ora/+GK++zkWYLlBIp0Za6KR0vwnK9nb22Pr1q2IiIiAt7e37JoX/Pz85MpLBcFZ80REZBEtoboEoTXGjEHdXCZkERVK17wxNj29/PLLKFWqlMZ248YNjX03bdokJxqFhobKLnURUBrKx8dHLum5YMECnBFjsr295VYQDESJiMj8PZ0okZt6kybhxfv30X7mzFwnZBEVFw8fPkSNGjXkzPXsW+nSpdX2E7Pbe/Toge7du2PLli1yZaQuXbpgx44dep9z3bp1coJS8+bNMXz4cDmTfv/+/ejdu3eBfhcGokREZPbEjN1G772nViYCzv579mCiUonW330H52zrYBMVOtGSaYwcoirDJis5OTlptIja5hgX/u6776JPnz6YOHGiTED/1ltvoVOnTvjf//6n17nCw8PRr18/jBs3DtHR0XjllVdkebt27WR3vWgdNRTHiBJZMDFrOPXWDdh5lYCtJ8fFUfHW7JNPENSiBdITE1GmfXs4eniYukpkzcx81nxkZCROnjwpg9DsunXrhvHjxyM2NlamXtLFihUrMHToULyX48ugULduXdkaK2bWG4KBKJEFB6F335+Ex+tXQuHsjHIzFsOlTn1TV4uo0ChsbBDSuTOvMBVLERERarfF8pliy41IIl+5cmU4OzvLIFC0flarVi3rfrEMpyDGhmZXvnx5+flx5coVNGjQQKe6xcfHIzg4ONf15guCXfNEFiI95gGSL5yF6ukqOYnHD8sgVFAlJSHq+89NXEMiIiuiVBlvA2QKJDHGM3PLaw33wMBATJ06FStXrsRvv/2GxMRE1KlTR47bzJSZZN7FxUXtsa5Px1Drk4S+atWqWL58uTxPdiJ10549e1C7dm0Yii2iRGZMlZaK+F3bEbtyERIP7pFljlVroGzYcqTevK62rwhMU25cg2M5rv1NRFT4b9BifKcRUi+plFnruYsAM1NeraHTpk2Djc1/bYlNmjRB/fr18cEHH2QtxSnGkAqpqalqj01JSVG7XxdifOiHH34og92XXnpJzs4Xqy2JZT3F2FTmESUqZlKuXkbsmqV4tGCW5n0XzuLxhpVwqlZL475Hyxcg4K0Pi6iWRERkLIGBgTKo00X2IDTztpjNvnjx4qyysk/zCd++fVsGqpnuPF2FLPN+XYhW1G3btmHUqFGYNGlS1gRCMfFJtMoWBFtEicxExpMExG/ZgJgFs5B6/Uqe+6ZHRcDpuSH/prTJNtD94byZ8Jv4DmzsHYqgxkREVixbt3qBj2MEly5dQkBAgNpYUNHFL1ZBEi2amXbu3ImKFSuqtb7qQqRu2rt3r5wEFRUVhaCgILnKUkFxjCiRCYkB46JL/d4Hr+NyixqI/OSdfINQWx9feHTrI7+NBrz9kcb9j1YsKsQaExGRKd29e1emYbp3715W1/tXX30lE9VPmDBBbV+x3+zZs+WsdmH37t1YuHAhJk+ebPD5RbArxoQaIwgV2CJKZAJpURF4vGEVHvw2Tefl3RxCQlFi4Ah4dO4BW3dPWebZrTciv5yitl/k5x/AZ9CIQqk3ERGZNn2Tv7+/bOls0aIFYmJi5FhNMTN+/vz5eP7559X2Ffk+RfL7jh07ymU609PT5VjPMWPG5Hue33//XXa7izGhogU0ry54sY/IV2oIBqJERUSZmoKEXdvwaPFcJJ04rPPjvIeOhWeP5+BYobLGfXaeJbQ+JvXeHTgE6TbWiLRLuX8fyrQ0OAcF8RIRkRZGmqwE/Y5hZ2eHV199VW5xcXEyfZMIMnPz0UcfyQT2jx49kstx5kx6nxtPT085ZtXNzQ3Jycl5jl8V+xhKoRJ9g0RUaJLDzyJ2zXLELp2r82Ncm7eB13ND4Na8DRR5vMEITw7vx43RA9TKxOPK/jHf4Dpbq4zkZNxdtQqXvv0WsSdOyDG4taZNQ6Wng/PzWgf97t69SImNRblOnWDrYNljdDPS0nBj40ZcW7MGdq6uaPzRR3AxUjcckaUTk31Ei+SNqb1Ryqvgy8neiX2CclNWy0lFuk5WKk7YIkpUCDJiH+HxpjV4OPNnZMTG6PQYG08v+I6eAI+uvWDnrftShS4N/psNmSlh306Zb1Sh4zdfaxd76hSuz5qFq7/8on6HSoWz776LkNGjYZ9LKhVlejrW9eqF6xs3ytsh3bqh57p1cgyvpXl87RrO/PEHjn/zjVr5k7t30W3NGpPVi8gsiYZMo0xWgsUSyexzzuDXFycrERnZkwO7cfmZuoj+ZqpOQahX/6Eot3A9Ku44Ae+hY/QKQjNXm/Ed/bJGefw/W/Q6jrVJi4vDtenTsbFMGWyrU0czCH1KmZKC1IcPs25nJCXhwd69SHyaAuXK6tVZQahwfcMGRIvWVAuSHBOD1e3bY25oqEYQKtz6+2+Yi/S4x0g4cRTpsY9MXRWydpljRI2xWYBvvvlGzszPXLVJrF0vcp3mlXhfFwxEiYzs4Z9/5LuPc92GCPrqF1Q6GI6Adz+BU7WaBWpB8x6sOTnp9lsvGXy84kqMRHqwbx8ODxuGtZ6eOP7ii0i6fTvPxwT17AmXcuUQe/o0TkyYgNUuLtjZsiX+CgnB/V27kHD3rsZjzoWFwZIc//Zb3N62Ldf7A5o2hTm4v3geTjeqiYt9u+J0s7qI3fqXqatEZBUOHz6MNWvWyBROwpQpU2QKqC+++EL+WwwrMBS75omMzMYtl9UwFAr4vvwmPLv1gb2/fvnb8mPv91/uuCwZGUh/cB92vhzblxwdjVvz5+PcBx/IFk1d+HfsiHKjRyMtJgabypbVCFhV6em48OmnqPbDDxqPPffnn2j17bewc3aGJch4utKKNqF9+6JNLq3FRUmZkozbn3wIVeq/dVUlJ+HWB2/Ds027fMdRE1lDHtHCJJYOzVyxSXyh37x5s0wJJQJTkRJKrHsvVlkyBFtEiYxMdJMrHB2zbosZ72XmrEDlY9fkfcYOQjOV/lFzFabIr6fCWokxspGbN2Nfz57Y4O+P02++qVMQWv2LL9B8wwY4BQTgUP/+ebaapkRHw7d6dQQ0bqxWnp6YiMsFXG2kKFXs31+jrNGUKXjh0SN0XbECrtmSZJuKwt4BChv1XoO06Cg83pl7Sy4RGYdIEZXZa3fu3Dk4OjpmtY56eXnptW59TmwRJTIy0c0eumEPUm/dgFPVGrBxdimSa+ze8lmNssd/rUXwVz9b5MSZgojavh1HR4xA0tNxnPkpNWAAygwejIRr13Du/feRkZio0+OqfvCB/FljzBhEHjqkdt/ZsDBUzZHTz1yJQLrX1q048d13aPj++whs1szsXjNiLHSJzj3wcOUStfIHyxbBq31nk9WLrJdoGTRG4iGVBYwRrVmzJt5//3107doVP/74I9q3b59139mzZzF27FiDj80WUaJCYOfrB5d6jYosCBVE96T7Mx00yhOP/ruihrUQqZQODxmSbxDq4OuL2j/+iKZr1sgJSft79sTpSZN0CkJrfPEFut67h1LPPSdvVx4wQCNDwZ2dOxF7Je9VssxJmXbt0HPTJgQ1b252QWgm3wFDNMoe/7MVafejTVIfsnIqI25mrlevXnJt+saNG8sVnN59911Zfvz4cWRkZKBRo0YGH5uBKFEx4v/6+xplMUvmwZqIljMRWOYmZMwYPHv4MGp+9RVOvfYaDvTqhXs6pCYSraatduxAX6USVd55B87Z1ml2cHdHteHDNR5zdvbsAvwmlJNr/YZwLF9BvVAsk3vuDC8WUSESCfNFACqWFRUTk6pWrSrL/fz8sHr16gIdm4EoWT0xljDt1AGkndgHVWqyRV8Px3Ll4VA2RK0s7u8NyHgcC2tSdoR6FgH3ypXRYPZs9IqPR/2ZM+VEo2OjR+d7HAcfH9T55Rf0iIlBkyVL4NemTa6thaJ7Pqdzs2fLPKNkHOLa+/YfrPk8lSrNS0xFz8rSNwmBgYFyfGgmkYA/ODi4QMfkGFGyamJsTuIfHyP93FF526ZkIFzf+i73me8WoOTYV3D3f6+rlT3evA7eA4bBWtT65ht41qyJ5Hv3ENS7NzyrV1e7P+7ChTwfHzJuHMq/8AJK1Kun8zkDmzSBd7VqiDl/PqssMSoKNzZvRvlu3Qz4LUgbn74DEDXjV6TH/Jvb1afvQDhX+HfSBFFRkjGkEZLRqywgDn38+DHi4+NzvV9MWDJ0mU+2iJJ1S0/PCkIF5f0IpG5bBUvm0b6rRpmYOGVNbOzsEDJqFKr+738aQagQ0KkT7HK8abpXqYKGc+ei15MnqD99ul5BaGZrXQ0traxnZ2lmMyDD2fv4ovLStQh85Q2U++5XlP3qe15OokImcoWKZU1z22YV4H2Oa82T1Yv7YBRUD6PUroPHz2uhsLXcDoPY9Stx94M3ZC5RhZMTyoUtg0utuqaullkRqyNdmzEDLmXKoOzQobL7vqAS79/HdD8/jfJxERFmkQKJiIy31vy1t7uhlGfBJ6TeeZyI8l9tMOu15q9fv467ORbviI2NxZw5c3D//n0sWbIEQUFBBh3bcj9piYzEoXlHpKxTn9CTfuYw7Os0s9hr7NW9L1zq1EfSuTNwrlEbDqXKmLpKZse3RQu5GZNLyZKo2K8fLi9frlZ+fu5cNHz7baOei4ioqISEhMgtpy5duqBevXqIiYkxOBBl1zxZPYcm7TSuQYqFd88LDqXLwbNTdwahRUxr93xYmEXkCiQi3VnhXCUNNjY2MnXTsWPHYCgGomT1bLx8YFuxptp1yLh2AcoY5iYkw/JxupdWn8Ude/ky7u7dy8tJVJwwEoVSqZS5RJ2cnAy+jOyaJxJpj9r2RuJl9VyEqQe2wamrZqoYorzY2Nqi+ujROPjRRxqTlkq1bMmLl40yKRFP9u2AKikRbm27wMbFldeHyAwtX75crjefXVpaGg4dOoSoqCi0a6fZs6grBqJE4g+hegON65CycSEcOw+AwkZ9xRyi/FQfOVIjEL0wbx6e+eknOHp6Wv0FTLl4DnHrlyNh20Yon/y7RnX83+sR9NNcs13ViUiDUvXvVlBK8++bF8FmeHi4WpmDgwNat26NSZMmwcfHx+BjMxAlEukjbG3h2LE/UrYsU7se6RdOwF5LkEqUFw8xE79jR9zcskWtPHzxYtR+8UWrvHgZCfFI2LpBBqCplzXzuCafPIKUsyfhVJPZHcgyGGt8p8r841BMmDBBboWBY0SJnnJorrlOe/Laubw+ZBCtKy2FhVnl1Xy8ehFu9mqFB999rDUIzfRkr3rXHxEVf2wRJXrKxjcQtmUrIePmpf+uiYUv+UmmE9qjBxy9vJAS+9/yqtHHj8slP0XCfWuREf8YD378XOa0zY/C4b+lA8n8ZSQl4c6KFbgeFob48HCUGzECNb74wnqGV1hTk+hT//zzD/7++2+55nyZMmXQp08fmb6pINgiSpSNy+jJsA2tBhu/INjVaAi393/l9SG9pCcmIvrgQSRHR6PRe++p3Ve2QwerCkIlhQ4fMzY2crKS54ARRVEjKqDY06dx4pVXsD4gAEeGDcODXbuQEhWFi199hci//rKa66sy1sR5mD+Rfm7IkCFo27YtVq1ahWvXrmH+/Plo0KAB3n///QId28reEYnybxV1e+MbXiYySNzVq1jXrJkMQm3s7VH1pZfQZelS3Nm5EyUqVUItKxwfauvmDpemrZG49x+N++xLlYF7l75w79QTdiX9TVI/0k1aXBzuLF8uVyN7dPhwrvvdXbUKgV268LIWM6tWrcKGDRuwZ88etMi2EMjKlSsxaNAg9O3b1+CWUQaiRERGcu6nn2QQKijT0nDuxx/RpUcPtP3tN6u+xt6jJiDp8D6oUlOgcHaB2zOd4N61D5xq1rOeblwLFXvqFK7PmIGrOr6GHQowe9riWNGs+SNHjmDs2LFqQaggAtAePXrI+xmIEhGZmJ2rZh7MC9OnI+jZZ2HJRFAdtXIFotevg52HJypO/RgOfn46P96xYlWUWb4NaTevwbFydeYLNXNp8fG4vWQJrs+ciUdHjuj8uHKjRqFqAbtpyTwFBgbKcaHa2NrayvsNxRZRIiIjCR00CKe++EKt7PqyZUj+9Vc4+fpa5HVWpqZiu5e7Wlnawweos2yFXsex8/aVG5nvGEARdIrg8+aCBVAm6zZR071yZYSMHYuyw4bBsWRJWBNrmqvUqVMnOT504MCBqFv3vxRrYuLS/v378VsBen0YiBIRGYl3zZoo2bgx7h86pFZ+ed481Hz9dYu4zhmJTxC7eQMSz5+B5zPtEXfxisY+9zduQOL1a3AJKW+SOpLxpMbG4taCBTIAfXz6tG4PsrFBmcGDZQDq27Kl9Q6vyJytZIzjmKGwsDCsX79e7ctK/fr1UadOHfj7++PWrVs4f/48KlSoIIPR7t27G3QeBqJEREZUZexYjUA0fOZM1Jg0yaw/sBPPnsKDZQsRs24VlAnxsuz+/NnwfelNzZ1VKtydMwcVP/6k6CtKBSYCigd798rg8/aiRVDpkFpL8KhR49/Wz+efh4O3N5+JYs7W1hZ22bJ8NG3aVO3+qlWryk2wsTE8CZNCJV6RRERkFGkJCVgYEID0J0/Uyrvt3YuA5s3N6ipnxMfJwPPB0gVIOn9G6z5eXXvixqIVyMjx+zgGBaPlxctyVTKyDCn37+PmvHm4PmuWzPupC4W9vQw8Q8aNg3fjxmb9Zaqo3LlzB6VLl8alCZ1QysO54MeLS0KlXzbj9u3bKFWqFKwNW0SJiIzI3s0NoYMH4+LMmWrl4rY5BKKi7eHJiaMy+IzdtBbKpKQ893+8dTP8evZCxKKFauUp9+7i4T/b4dtec0UyMh8qpRLR//wjWz/vLFNfwjgvXnXryuCzzKBBsPf0LNQ6WiylCiormTVfmBiIEhEVQvd8zkD06uLFaPLDD3K1JVNIfxSDmDXLZfd78uWLOj9OpFwq2bGDRiAq3Fswn4GomUqKiMCNOXNwIywMT65d0+kxts7OKDN0KMqPG4cS9esXeh2JBAaiRERG5tugAbxr1UJMtskfYva5CEarjR9fpK2fCQf34cGyBYjdvBGqtFS9j+FSsw5K9n4Orl98gSc5unPvr1uLtEePYF+ihBFrTYYSYz0jN2+WrZ/31q7V+XElGjVC+bFjUXrgQNi5ufEJ0PmCG2mikcq6LzkDUSIiIxPj6CqPHYsDr7yiVi5aSYsiEE17EI2HK5fi4bKFSLl53aBjuNSuC99+Q+Ddu59cljR4xEhceudttX2UKSmIXLEcpceOM1LNyRBPbt7Ejdmz5ZZ0545Oj7Fzd5cpl8TkI6/atXnhyWQYiBIRFYIKQ4bg4KRJUKWnZ5U9PHECD44fh6+BS+Hl1xoWt3enDD5jt28Bsp1XV7aeXvDu9Rx8+w+Bc+VqavcFDhqCyx/8D6q0NLXye/PnMRA10SIDEevX49rMmYjavFnnx/k0by673oOfew52Li6FWsfiTiX+M8J8b5WVN4kyECUiKgSOJUogdOBAXFmwQK380pw5Rg1EU8WkoRWL5ZZ6T7fWsJzcm7WET7/B8OrQBTaOTlr3cShZEiW7dUf06lVq5XFHjyDhwgW4PU3jQoVPrHp06vXXkRwRodP+YuhEuREjEDJmDDyqqX/BoAKwwq751NRUHD16FNeuXUPt2rURGhoqe4CcnQ3PHmB44iciIsqT6J7PSQSm6TquWpMb0SoZu3UTrowZgrNtGiDip2/0DkLt/QPgP/41VN9+CBXnrYB39z65BqGZRPe8NhEL5+t1birYJKQjI0fqFISWbNMGjRYtQrd791D7u+8YhFKBrFu3DpUqVULz5s0xfPhwbN++XSay7927d4GOy0CUiKiQBLRsCc9KlTRXslm3zqDjpdy8gbvffoYzrerh2viRiNu5DVAqdT+ArS0823VC+enzUGPXMQS/8R4cy5bT+eE+z7aFU6nSGuX3Fi6E0oChAKS/9ISEPJffFMtsVpo8GR0vXULrHTtk+iVbp7y/YFAB0i4ZazNz4eHh6NevH8aNG4fo6Gi88nT8e7t27RAREYEzZ7TnIdYFA1EiosKctDRmjEb5pdmzdT6GmBAUs3ENLg97DufaNkbUHz8h/X60XvVwLFMOQW++j5p7TiD0j7nwatsRimwrpuhKJK8PGjZcozw1KhIPt23V+3ikP7fQULhXqaJR7t+hA5osX46ud+6g1ldfwb1iRV7eIlpr3hibuVuxYgWGDh2K9957DyVLllS7T6w9f/DgQYOPzUCUiKgQVRg2TKPszpYtSLh9O8/HJZ49jUtDeuNk9TK48doLiN+/R6/z2ri6wrt3f1ScvxLVth9EwIuvwt7PHwUVJH4fLavriElLVPgUNjZoOG8ePGvVkgFplfffR+dr19ByyxaUeu452Dg48GmwMidOnECbNm0wZMgQrfeL1soXXngBHTt2xPjx43HhwgW9zxEfH4/g4GCt9yn16ZXRgoEoEVEhcvH3R7m+fTXKL8+bp3XJzfuL5uJCz/YI79UeCYf263cyOzt4PtsB5X6cjloHz6LcNz/DvWkLoy7L6FymLHzattUov79xA1IfPjTaeSh33g0bov2pU+h44QJqfPopXENCeLmstEk0JSUFw4YNw9mzZ3Ho0CGN+8XEosaNG8Pe3h6TJk2SQWPDhg1xOluOY12INeWXL1+OxMREtfKMjAzs2bNHTlwyFNeaJyIqZLc3b8aWzp3VyjwqVED/y5flv+9sXI/obz4B7tw06PiuDRrDu0dflOjcHXYlvFHYIleuwJmhmq0vlad9jzLjXyr08xOZw1rz4WPaIdi94GvN341PQpVZ2wxaa/7NN9/E8ePHERISgl27duHKlStq94uWUhGEbt3639CZli1bws3NDX/99ZfO53ny5IkMRp2cnPDSSy9h586d8Pf3R0xMDCIjI2Uwaii2iBIRFbLg9u3hVqaMWlnclSsyF+T28S8g+rUxegehopvd/8VXUW3bQVResg4lBw8vkiBU8OvWHfY+PlqX/CSyFiKHqLE2Q4jgb/r06Zg5c6bWXg8RJO7evVtOMspO3N62bZsMLnXl6uoqH+Pn5ydbVteuXSvPK46xcuVKFATziBIRFTIbW1tUGj0ax6dMySrzb9ECyXFxuLlgHkr4e+g+6/2Z9vB5bhA827QzaMKRMdg4OiJw0GDc+uVntfL4E8cRf/Ys3GvUMEm9iIqUGBqpNNJxADn7PDsPDw+5aZOQkIARI0Zg6tSpMpenNhcvXpRBbuXKldXKRQqm9PR0XL58GXXq1NG5muJxe/fulS2gUVFRCAoK0pi4ZAi2iBIRFYGab7yBoHbtYGNvj6C2bfHMokVwdHdHfGr+aY8cy5VH0OQPUHPvyX9nvbfrZLIgNFPwcO05Re8t4KQlIkM0atRIdvlnbt99912u+4pWSREETpw4Mdd9Hj9+LH+6u7urlWfezrxfXwEBAXJMqDGCUIEtokRERcDe1RVdtm6FSqmUM58zhQwagoR/1sPNQf3tWGFvjxLd+8C332A5BtSYE46Mwa16dXg2bITHRw6rlUcsXoQKH33M3JVkBYyVe0kl/3/48GEEBgZmlebWGirGds6fPx/Hjh2DTbb3kpzsnn5ZFa2f2WXeFmNH9fXo0SPcvHlT45hlypSR3faGYCBKRFSEsgehQp0xY/DX8sWo5+8JWxsFYpPTkF6pOtqu3Qhbdx277E0kaMRIjUA07f59PNq1E74dO5msXkRFwVg5QFVPjyGCUF0mK4kVjcSSmi+//LJaN3xsbKycnPTaa6/J1Y4yjyW60rPLvJ1bOiZtxGz7kSNHYp6WbB/C999/n2frbF4YiBIRmVDp5s0R5+CC7TcfwEahQEqGEri7F80Sk+BmpoFo/O3bOPX774g6cAAeolUlLU3tftscXYFEZDzjx49Ht27d1Mq++eYbnDx5Eh999BEqPl3MQPz09fWVy3D26NEja999+/bJIFS0Yupq2bJl2LRpk/xZq1Yt2Nraqt1fkG56BqJERCYkutybv/cetk+enNVFJ5wMC0OL994zu+fm8fXrWFi3LlKeji/zs7OFn/2/H0p2JUog5K3J8GrazMS1JCoCxlqeU6nfMcTkpJwTlBYsWCBbRUWLaCYRLIqg9bfffpM/y5Yti6tXr8pWzcmTJ+s13EckxX/xxRc1ZuAbAycrERGZWC0tqy/t+/JLKDMyYG5ubNmSFYQK0ekZuJ6Wgaphc9Dq6g2Um/i62Y1nJSqm+ezz9cEHH6BTp06oUaMGmjRpIicZ9enTB2+//Tb0naBU0BWUcsNAlIjIxNz8/VG5d2+1stT4eFzRI+F0UfGpXl2j7El6BiJu3+EEJSITeeutt7Bw4UKNcjEhSbSWhoeHy3Gcly5dwuzZszW61vMjhgKIfKEibZOxmVfXvPhaoEwFMlJFhxVg7wwo9LtYRESWqO6YMbi4erVa2bHff0elHGPBTC24RQt4hobi8dWrauVnZ81Cg7feYmsoWQ9jz1YqgJy5QnMSY0L1mZwkhIWFYf369WrrzYtcoiLNlEhwn93o0aPRvXt3WHaLaEYKkPIISEv4NxhVpgCpCaauFRFRkQjt2BEObm5qZVc2bcKj69fN6hkQ3e41Ro3SKI+9fBl3C7DMHxGZF9FqKlJAZW5NmzZF+/bt4enpqVYutrzSSFlGi6j4NiACUI3ydECZIZYlMUWtiIiKdPWlRhMnYu+nn6qVH58+HW2//NKsnolqw4dj/wcfyJyoOVtFS7VqZbJ6ERUp0ZBpvDSiZkes3CS2wmY+LaJ5tZQSEVmBOiM1Vys68ssvSE8xr/dBt+BglOukmSf00vLlSI6NNUmdiIqaSik2lRE2mL2tW7fKhPv63mc5gaiYYWnjkHsgWphTyoiIzESJ8uUR0ratWlnakye4sHIlzE310aM1yjKSk3Fx0SKT1IeICs/GjRtlPtLc7jtw4ICFB6KCvfrA1/8oAaV6smQiouKqjpYA79hvv8HclO/WDc5akliL7nki62Cs3E0qWDKxUpOXl5eFjxEVFDb/BqNpTzTvy0gGbHNpMSUiKkaq9O4NO2dnpCclZZXd3rcPUWfOwL9mTZgLWwcHVBs2DMemTVMrjz5xAlHHj8O/Xj2T1Y2oKGR2rRvjOOZq+vTpWL16tUz/JJYV3bx5s9r9YllRseb9xx9/XAxaRAUbR+3lokXUEgZREBEVkJ2Tk0zllJNI5WRuqmuZPS+wVZSoeHB1dZXLhIogNPPfmZtY1rNx48bYsmWLTOtkKIVKZWYDMFMe/ztbPic7F8DO2RQ1IiIqUlGnT2NG7doaAerr0dFwNLN13Jc0bYqIgwfVyhw8PDAuIgL2Li4mqxdRYblz5w5Kly6N0/1bItjVqcDHu/skGbWW7cHt27dRqlQpmKNFixbJ4LNDhw5GP7Z5tYhKucTFnD1PRFbCv1YtBDZooFaWnpyMs1pWTjHHVtHUuDhcXrHCJPUhIuMbPHhwoQSh5hmI2ubSPa/KAJRaWkqJiIohbd3zR3//HebWiVVpwADYaWn5ZPc8FXtKpcylW9ANhbSGu6WwnEBUSH3MYJSIrEL1gQNhY2+vVhZ9+jSSHj6EOXH08ECl/v01ysUqSzEXL5qkTkRFQkwyMtZmxcwvEBWz5+1yS+UkkurFM68oERV7Tp6eGq2iboGBcDCzMaJCDS0pp4SzYWFFXhcisizmF4gKdk6Awi6PpQzYRU9ExV/7adPQ5PXX4VezJqr06YOhO3bAzjGPXiMTCWreHCW0zJq9MHcuMlJTTVInosImhskYa7Nm5pNHVFsXfToDTiKyXvbOzjIYNXcKhUJOWtr/zjsQGZ8VYiQVgMToaFxbvx4V+/Y1dRWJjE4GkUYY36mygEBULOPp6emJRo0a6XWf5baICnklsFfYFmVNiIgoF2I2/9VFixC1bh08xJACMW5U5B/Mtv48EVm2jYW4xKf5toiKsaK5ETPo87qfiIgKVez587g4cyauzpuHlJgYjfvFO7SYapWemMhngoola1hZSdclPuvWrYviF4hKooNHpdkamtv4USp2HoaHY8fbb+PhhQuoNWoUmr7zjqmrRGS1xLKjN5Yvx8UZMxC9b1+++4tgtMrgwUVSNyKyzCU+zTuis3cD0hL+C0bFbHoxdlQhAlQq7jLS0rCkfXvE37kjb+96910ENWmCsm3amLpqRFYl5swZXJoxA1fmzUNaXJxOj1HZ2aHRZ5+h8sCBhV4/IpMQYzuNMb5TpbKoJT6zjw2vXLkyPv/88wIt8WnegagYJ2pT4t9AlF3xVkfMts0MQjMd/+UXiwxEM5KSYOPoCIUNh5SQZUh78gTXly6VAej9Q4d0flyZnj1RfuhQlOnRA7Y58qASFSfW0DX//PPPy60wl/g070BUkK2fbAG1Rg6urihRoQIeXbmSVXZx5UokP3oEpxLiC4r5U6Wn4+LL4/Bg9UrY+/mjwjffw6dzV1NXiyhXD44fx6WZM3Hlzz+RkZys05VyL18elcaMQYURI+ASGMirS1QMl/gsLOYfiJJVa/ree9iUYy3rcwsXov6ECbAEMdu3yiBUSIuOwoXhg9HozCU4+PubumpEamvDX1u8WAagD48d0/nKlB80CBXHjEFgmzZs7Serk7VEpxGOYwkiIiLw9ddf48yZM3JsaHZvvPEGBg0aZNBx2U9IZq1Kv34aZbv/9z+LyLsm2DqJZDbqopctNkldiLITf0P3Dx/GvrFjsTQoCAdefFGnINSrenU0+uEHDHrwAK0XLULQs88yCCWrZE0J7ePj49GgQQM5MSkmJgZubm4ICQnB2bNnkZycjFKlShl8bAaiZNYc3NxQK8fygSmPHyNSj1YbU/Jo1kKj7MYnUyzijYeKp5TYWFz49Vesq1sXGxo3xqVZs5D+5EmejxFr3lccPRpdDxxArzNnUP211+Dk41NkdSYi01q+fLmckLRr1y60atUKvXr1kmVHjhzBvXv3EBoaavCxGYiS2av7wgsaZSf++AOWQHyAB7/8qkZ53EHtiYGJCoP44hO1fz/2jBiBRSVK4OCECYg5dSrfx/k2bIhmM2bI1s8Ws2bBr0kTOVOWiDJXVjLCpjL/hokrV66gXbt28u/fzs4OSUlJsrxmzZpyAtOOHTsMPjYDUTJ7AQ0awN7FRa3sdFgYLIX/kGEaZRFzZpmkLmRdkh8+xLkffsCaGjWwqXlzXJk7V6fHBTzzDHqePInuhw+j8tixcPAQayYRkRox212M7yzwpjL7C5uYmCjTNwn+/v64ceNG1n329vZISBCpNg3DQJTMnvgGVu/llzXKLeFbpOBSoSKcQsqrlT1YswrpcY9NVicqvsTfRcTOndg1ZAgW+/ri8KRJchUkXbiFhKD5zJno/M8/8K5du9DrSkSWR3TNL126FIsXL8b8+fOxatUq1KpVy+DjMRAli9BEy4pKF1esgKUoPektjbL7qyyn/mT+kqKjceabb7CqcmVsfuYZXFu0SKfH2To7I2TAAHTctg3PXbki0zARUf6sabJSu3bt0LBhQ/nvxo0bY/To0Rg2bBhGjBiBMWPGoGnTpgYfW6GyhCtABOBLLWPT3rGQl2/Gkyc4EBKkVmbn7Y0m4ddNVicqHh4cPYozX38tl97UVXDHjqg0dixKd+8OWweHQq0fFUz648d4sHIpohfNR3pCPEq/+Q5KPsfVqkzpzp07KF26NA63q40g54L//dxLSkWjbadw+/btAs0+L2pinKhSqczqsjcU84iSxeixeDHW5chTdvTnn9HglVdg7mxdXeE/ZCiiFs7PKkuPiUHCmdNwq2l4lwbpTpmSjOjZfyDl2hW4t2iDEj36WvzEG5F8fkPTpnLhhPy4BAXJ1s6Ko0bBrWzZIqkfGUa0DyWcOIbIsOl4uHaV2n3X3poIz+at4BCo/sWWTMBIKyvBAsaIaiOW/TQGds2Txag6YIBG2bZXX0V6SgosQcBw9cT8QuT8P01SF2t0673XEfnDV3i0biVuTX4F98N+h6WL2r073yC0TO/eaLdxI/rduoW6U6cyCDVjGQnxiJo/B4dK++Jcj44aQaigSkuTQSqZnlFmzCuNFMxaMAaiZDFE61XFnj01yi+vWQNL4Fa7LmxyzP6P/DNMrkNPhS/x1HG12/e++QTK1FSLvvQlmzTJdcnN+l98gQEREWi7ahVKd+kCG1vbIq8f6Sbh9ElcfeNVHKlSDtfffTPPfRWOjnCtVYeXlooNBqJkUTpqyR968OuvYSmBdLn/faRR/nDTBpPUx9q4N2+tURa3429YspKNG8uxnpnKDx6MTv/8g76XL6PWO+/AJSDApPWj3GUkPpHjPo/VqYKzXdri/tKF+V4u7y7dUWP9VjiWKs1LaxaUolm04BssY4nPwsLJSmRxlnTogBtbt6qVvXD5MkpUqABzl/YoBocqh6iVuVSthnq7DpisTtYiKfwcLvZsp1bm1qwVKsxZCkv35O5dOHh5wb6AkwaoaMRs3ohLYzTzC+fGvXFTVPxlBseFmtlkpYOtqiHQqeCTlSKSU9Fk93mLm6xkLGwRJYvT4LXXNMpOzpwJS2BfwhvenbuplSVeOI+k69dMVidr4VylOhxD1JehS9i/G6n37sDSuQYHMwi1INff10znlpNXu46o8OtMNL79ANVXbmAQSsUWA1GyOOU7dtQoOzljBixF0Oj/ulIzRS1eYJK6WJuSwzWvfcwqy28RJcuisNfeimbr5oZyn3yJBmevosqfi+Dbs4/FZ3YozqxxstKjR49w8uRJHD16VG2Ljo42+JgMRMni2NjZodkHH8h/i6k/XuJnQgIeX74MS+DZopVG2Z0fpumUgocKpkS33hplUX/8BFVGBi8tFZnAsePVbvv2G4ga6/9Ggws3EDByLOy8xLsakfkQ+UKHDx8Ob29v1K1bVya3z74t0nEBDW2YR5QsUqNJkxD+669ATMy/Benp2DlyJHru3Qtzp7CxQZl3/odbX36qVv7on23w7tDJZPWyBrbuHijR8zk8WvvfqlaqtFTE798Nj5bPmLRu1ubhuXOI2L8fPjVqILAAq7JYooBR4+BWqw7SYx/Bo2lz2Lq5m7pKZIB/V0Uq+EQjlQUszLJs2TJs2rRJ/hTLedrmyMJRsmRJg4/NQJQsklOJEqjYpQsuL/ivSztq3z7EXb0Kj1D1cYDmyH/gYI1ANHLBXAaiRcCn32C1QFR4uHwhA9EikvbkCTYPHozr69ZllTX97DM0fO89WAvR3e7esLGpq0EFJbrUTZTQ/sMPP8StW7fkv93d3VGpUiW55Kanp6fGvpGRkZgzZw5u3LiB8uXLY+TIkfDz89PrfGfOnMGLL76Ifv36wdjYNU8Wq0z37hpl4bNmwdykJiTg2K+/IqxOHSzp1AnRp0/DMSgYXq3aqO9oAd+KiwPXBk1g61VCrezxlo1Ie/jAZHWyJpeXL1cLQoXDH3+M5MzeDSLKV4MGDdCmTRu5hYaGyq5x8fNyjiFq4nbNmjVx4MAB2aW+a9cu1K5dWwal+ggICJDd84WB6ZvIYmWkpCDMyUmjfHRKisnXzxZdLfcOH8apmTNxKixM7T73UqXw8q1beLxvD872+S+YrjxzDkr27GOC2lqfqBk/I2La52plQW9Pgd+oF01WJ2txcfFibBk8WKO89c8/o/aECSapE5Eh6Zv2NamEQEf7Al+8iJQ0ND94qUDpm1JSUlC5cmW0aNECC7L1FPbo0UO2iB46dEi2xGdkZKBevXqoUqUKli7VfaLm9evX0blzZxnI+vv7w5jYNU8Wy9bRETUnTcKZ779XK7+5fj3K9+1rkjolPnyIcwsWYP/nnyMxl1mE8Xfu4ElkJLxatELVuYsQu/MfeLZsDd9uPYq8vtbKu1d/jUBUrENfcuQLnKVcyMp17Qo7FxekJyaqlZ+bORO1Xn6Z158sbIxowXuyVEY4hqOjI6pWrarW0hkfH4+//voL3333XdbflRjbOWTIEEyZMgXJyclw0tKYkyksLAzr169XO54YAtCoUSO45shZPHr0aHTX0kupC3bNk0WrPHq0Rtm5X34p0joo09Nxef16LOvaFT/6+mLbxIm5BqGZnH185E+fzl0R+tU0BqFFzN7PHx7PdFArS78fhSfHjxR1VYoF8UF6/8wZ3D1wAKp8uu8cPTxQacAAjfIHp08j+hjXUCcyRFRUFI4cOYJ27f5btCM8PBzp6emoVq2a2r7itghCr1y5kucxRdBqZ2eXtTVt2hTt27eX41Czl4vNxsbwcJItomTRvKtXl5OTxCSlTBE7dxbJuWNv3JDd7vs/VZ90lJcybdqg7bRpJh86QP9OWsq5xGfMikVwq9+Il0dHybGxODVjBna//XZWWeX+/dEjny6/6mPG4PycORrl52bNgn+DBrz+ZBHEl678vnjpehwhIiIC2Xl4eMgtNyLQ/PLLL2VL5Z49ezBmzBj873//y7o/5um4a68c6cAyb2fen5sRI0bIrbCxRZQsXrWXXtI6M7cwZKSmInzFCsxr3hy/h4ToFoQqFGjx0Ud46cYNDNmxAwH16hVK3Ug/Hq3bak1unxEfx0uZC2VGBq7//Td2vf02fvbxwc8lSqgFocLFZcsQ93Q2b24CmjaFd45WGuHS4sWF9rdrbAk3b+L4//6HTc2a4fDEiVCmpZm6SmThGjVqJMeeZm6iSz0vIqAUk5Vat26Nxo0by5nxu3fvzro/s5Uy5ySjzNs5UzDl59SpU3K8aXbXrl3TmCClL7aIksWrOm4cDr7xhlrZ5i5d0G3nTqONN3t48SJOzZqFQ99+q3u9Bg5EnbFjUbZNG5k7lMyLws4OfuMmIHqG+lCORxvXwHeg7uuAW4O427dxZvZsHPn2W6QlJOS5r3itK/L5gBN/l6JVdM/rr6uVp8bF4cqKFag6fDjMkfgiemfDBpz+5BPEnDyZVX7/wAE4+fmhlhWloCLjp286fPgwAgMDs4rzag3NnMme2WL56quvYsCAATLpvJj0lHm/cP/+fbXHZd7WZ9KROObgwYPlpKfsHBwc0LFjR1nu5uYGQ/DTkSyevZsbHEuop+OJ2L0btzdtKtBx05KScHbBAkyvUgUzqlTRKQgtUbEiOv7+OyY9eoReixej3LPPMgg1Yz59B2mUPVio2WVszcTku+llymD/Rx/lG4SKCYQdpk+He3BwvsetMnQobOzttXbPm5vHFy/iyBtvYIGjI3b27asWhGaK2L7dJHUj009WMsYmiCBUzJrP3PILRHMSs+HFjH4xg14QM+NFjlExdjQ7cdvHx0fmFNXVihUr5Kz5nMGmqKc4zz///ANDMRClYqFjtpl9mc78+KNBxxJ5Pv964QV86+KC9UOHIubixXwf03DiRIw+dQovXrqEei++CCcu0WcRHMuVh2u9hmplyZfCkRR+zmR1MjcHPv5Yp/26LliAV2NjUWvMGJ32d/b1RWhvzSVX7+3di0c6/M0VNjFE4MyXX2KRlxfWVKmC8/l0k5Zs0qTI6kbW7f79+9ie44uPGCe6ZMkSudymmEEv2NvbyyT3YvZ7bGysLHvw4AHmzp0rk9rrM8FIrCWf2wx7UZ5zfKs+GIhSseDfrJlG2d2tWxGvY9JekXT+5KxZmObujrDatXFyxox8H1O6ZUv0Xr4cbyUno93338OvVi2D6k6m5TNgqEZZ3O4dJqmLOXJ6muFBm1pjx2LstWt4S6VCtSFDYJdHKhhtRPe8Nudy5N4tSg9PnMD+sWOxyM0Nx999F2mPH+f7mEY//YQ6OgbsVIwoVVkTlgqyQc/ufRFo/vjjj6hRo4Zc6ahbt24oU6YMXFxcsHDhQrV9v/jiC5QrV04mtR84cKBMZi9mzU+dOlWvc4rHrF27Fmk5xkI/fPgQ27Ztk62ihmJCeyo2zv78M/a/+qpaWb0PPkCDXD4gRHdIxNGjOPzdd7iwZInO52n1ySeoOXw4PEqXLnCdyfSUSYk416YBMmIfZZWV+vhr+GoJUK3RlfXrsbrHfzluK/XtK1s9y7ZvDxs9JzvkJD6E/yxfHvE3b6qVO/v5YdSdO7DV0nVfWCnYRF2WBwcj5YFuK2yV7tkT1V5/Hf4tWzL3qZUmtN9VuywCHAo+1SYyNR2tT93UO6G9SDJ/8uRJ2fJZoUKFXINB8VknVla6efMmQkJC5MQmfedPPHnyRB5f/N4vv/wygoODcfXqVXz77beyu16MbzV0TgYDUSo2xBKB83K03ojUTgNz5EoTKWfE2M+tr7yi87GrPPcc6r30Esq0bs0xn8XQ/YVzcPfjfyeaONeojYoLVsHG2cXU1TIbUcePI+bSJZR55hm4GnlVlcOffIKDH36oUd511SqtXffGIj6cHxw5gvBffsG1+fN1flyjH39E+eefh6O3d6HVjcybuQSiRe3ChQtycpQIOjN16tRJztbPnBhlCAaiVKzM0PKNbMDly/CsUAHpycnY8c47OKrH2NH2P/2EGkOHcsxnMSeCkqSzp5AR9xiuDZvChnlei4xYaezPsmU18jGW69IFPTZuNPr5UmNjcW3hQhybPFljdafchAwahCqvvCLHgRorEwcVg0C0VhnjBaKnb5l9IJrp3r17cpyqaBX19fUt8PGYvomKlZYzZmDPuHFqZUsrVsTo5GSZfF6XILTBq6+i7gsvwFdLnkMqnkRw4VKzDoprkH1x5UpcXLUKXiEhaP7hh7B7OpnBHLiXKoWynTvjRo6g8+bmzTJIFfcb4xpE7dkjWz9vLl+u8+Ma//Ybyg8eDAdPzwLXgYoflRwjaoQlPpVGSAFVhIKCguRmLAxEqVipInIT5ghEhXO//oqU5ORcH1eyRg20nDoVFbp146pHVKwc+f57bM+WZ1fkwnz2m29gTsSkpZyBqGghvfDnn2iUbaUYfSXcuIGTU6fi6p9/6vW4tps2oVTnzgafl6g4ioiIwNdff40zZ85kzcLP9MYbb2DQIM10eLrgrHkqVmSibC1jPx8cO4ZKvXrBxs5OI4XMmLNnMebMGVTu04dBKBU7R3L0AoiMEGk6dkkXlXJdu8JFy9jT82FhBi2hmBQdjTXVqmFlSIhOQahTyZKoPWUKBsfFYbhKxSCUdGKMGfMqIy0TWthEeqgGDRrg2LFjcmlQMUFJTHw6e/asXLe+IEMKGIhSsVP33Xc1ysSqJ6Krvfv8+Qhu1gwVundHr2XLMOHOHZSsXt0k9SQqCjlX9UqJi0P4ypVmdfHF7PiqWta0jrtxA7f1SJSdkZKC3YMHY5m/Px5fuJDv/pXHj0f3U6cwIDoadT76CPbu7nrXncgaLF++HJUqVcKuXbvQqlUr9OrVS5aJ5PhizGhoaKjBx2YgSsWOS2AgmmRbBan8gAFo8DRnWrWBAzFs3z70W7cOVfv1M6uxckSFoeqAARplYrlac1N99Git5eE6zmiP3r8fC5yccH3x4jz3cw8NRYt58zAkMRFNfvsN3sz/S2ayspI5u3LlCtq1ayd7He3s7JCUlCTLRX7SDh06YMcOw3MvMxClYqnWG29gRGysnKTUbskSOOi5VBpRcVFbS9L427t34+GlSzAnXhUrIrh1a43yB6dP5/tY8UG+S0vAnV3ViRPR8/x59LlyBaFDh8LO2blA9SWSQaTSCJvK/APRxMREuLq6Zq1RfyPbYjEij2lCPsv/5oWBKBVbYqarSMNzfskSrB82DLs/+ECmcCKyJt4VKqBMmzYa5adnz4a50bbSUnCrVjo9Nl3LB6H4+2+1eDGeT05Go++/h1fVqkapJ5E1a9WqFZYuXYrFixdj/vz5WLVqFWoVoGeBs+apWNv66qs4/ssvWbdVGRlo/fnnJq0TkSlaRW/t3KlWdmbuXLlKWFGtXqSLiv374/RvvyHywAE5sbDK0KFopsPfq+gubPL77zj0yitQpqbCztUVHXfuhGelSkVSb7JOxupWV1lAi6joli9RooT8t1iZafTo0XIde6VSiQkTJqBp06YGH5sJ7alY+zkwEE8iI7Nui+64SbGxnB1PViUtKUn+LaTkWDe975o1qNSzJ8yJMiMDD06ehHu5cnDOY5373D7QmXCeiiqh/daKAQiwL9gyt0JkWgbaX460mIT2mcQ4URGIZnbZG4pd81Ss+eXoLkhPSsLdAwdMVh8iU7B3dkb1IUM0ysUiD+bk8aVLOPfddzj35Ze4vnAh0p480evxDEKJCldqair2i4mBCxbICUziby5z4pKhGIhSsVZLy0zccwsXmqQuROY2aenK+vWIv3cPpiSCzUthYVjk44NVlSvj6OTJuLFiBQ699hr+7tDBpHUjyos1zZoX1q1bJ1M4NW/eHMOHD8f27dtlUNq7d28UBANRKtYqaul2PDVzpsX84RMZS0DduvCvW1ejXIwVLWri7y/mzBnsGzcOC9zcsG/MGKTExGhNyZSSYwUXIip64eHh6NevH8aNG4fo6Gi88nThGDF2VKy4JFZbMhQDUSrWRJ7QBq+9plGeeP++SepDZG6toqJ7vihWdpHB56lTOP7BB/jTxgZra9XCpZkz83xMUIcOcPTyKvS6ERnEGKmblCp5HHO3YsUKDB06FO+99x5Kliypdl/dunVx8OBBg4/NQJSKvdpjx2qUpcbFmaQuRKZUffBg2OZYxCH26lXc2r270ILPB8eP49h772FpYCDW1qmDU59+mu/jxKz3pr/9hnbr1xdKvYiMQalSGW2zhCU+g4ODtd4nJiwVBANRKva0LeG5ul8/k9SFyJScvLxQRctr39grLYmWzyNvv40VoaFYX78+Tn/xBZKiovJ9XKWxY9Hj+HEMTUhAlfHjmd2CyExUrVpVLukpEttnl5GRgT179qB27doGH5uBKFmFWqNGqd2OPnmySLojicxNbS0T+MJXrEDSo0cFPrZYMGLPyJGy5fPs118j4fr1fB/jHBCAVvPnY2hiIprPmAEfLeNYicyRNa2s1K9fP7l6Up06dfDDDz/IlZUuXLiAgQMHypRTjRo1MvjYDETJKrT78UeNstNz5pikLkSmVKZ1a3iFhqqVZaSk4PyiRQYfM+b0aRyYMAHznZ1x5c8/dXpMzbffRp9LlzAwIgKhzz/PJTfJ4ljTrHlXV1ds27YNfn5+mDRpEtauXYuZM2fiyZMnWLlyZYGOzYT2ZDW+VCg0yt6xgDcAImPb/8UX2PXee2pl/nXqYNSJEzofQ4yzvrZ4MU588AGSdZz8V6prV9n9XrpLF9iY0YpORIYktN9U1gf+dgVPaB+VnoEuNx9aTEL7yMhIREVFISgoSGPikiHYIkpW47kNGzTKHl68aJK6EJlSzeHDNcqiTp5ExNGjeT5OtNxE7d2LXYMHY6GnJw68+GK+QahbSAjqffop+t+5g/YbNqBsz54MQqlYUCmNt1mSgIAAOSbUGEGowLXmyWqEdumiUTazShW8mZQEOycnk9SJyBTcg4JQoXt3mdA+Z07RwAYNNPYXE42uzJsnk83rqnS3bqg2aRIC27SBwoZtHkSkHd8dyGqIpchCu3bVKL9YwPEtRJaojpa0Zo9v3FBb8/3OX39hS8eOWBIQoFMQKlJDNf7xRwx68ECmXgp69lkGoVRsWdMY0cLEQJSsSlctEyn265DXkKi4qSDGa/bqlXVb9ArUHT8e8TduyKTzc+3ssLVLF9z7++98j1Vx5Eh0O3QIQ5OSUO3VV+Hk41PItScyPaPMmFc+TWpvxdg1T1bFxddXo0vyYXg4Yi5dgnelSiatG1FREt3lfVauxNXNm5Fw9y7c3N1x/sMPsefYMZ0e71a2LOpMmYJy/frB3s2t0OtLRMUTW0TJ6jR8/XWzWG+byByC0QpduiC4Th3sGTwYD3UIQqtNnIje586h340bsiWUQShZK2vsmk9PT5dJ7I2JgShZZR7FnMQyh0TWSgageXwY+jZsiDbLlmFYcjIaf/89vKpVK9L6EZkj8SejVKoKvKnMNA598OCBXEe+WrVqOH78uCx788038fPPPxv1PAxEySonLXUOC1ObYJFz5SUiaxLQujUUtpr5EOt8+KFs+ex++DBC+vXTWKeeiIqv+fPnw83NDWFhYRg/fjxOnTpVKOfhGFGySrVGjoRbYCAeX7+OkI4dUSLHSjOWQJmejsgTJ+Dk7Q1vC6w/mQ+vqlXRYs4cXPjlF7iWLo1KY8YgqH172GgJTonoX8bqVleZaZOoSLDfrVs3NG3aFCtWrJDLfIaEhKBcuXJGPQ8DUbLeVE6dO8MSxVy5gpOzZ+PUn38iISJC/DLoNX8+ag4ZYuqqkQWrMHSo3IhIN3LGu8IIgajSPANRpVIJx6e9IGIlqZ9++gmtWrVC48aNjXoeBqJEFiAtKQkXVq7EyVmzcHPXLvU7VSrseO891Bg0iDkbiYjIKMaNGwdnZ+es240aNcI///wDX19fGBMDUSIzJbprIo8fx4mwMJxduBApcXG57vv41i3ER0TAIzi4SOtIZCqPrl7F8V9+kcNrao8bp3XlNKLCVNy75qtpmZTYrFkzo5+HgSiRmUl69EgGnidmzUKUjoPDfapUgVtAQKHXjcgcPLpyBX/WqYO0J0/k7asbNmDspUvwKl/e1FUjKtbOnDmDmzdvyjRO2dWsWROhBs5VYCBKZAZUSiVu7NghWz/PL10qb+vCq6QvqlStAveMdJwbPRJVfvgJ9l5ehV5fIlO6+c8/WUGooMrIwOlZs9Dq889NWi+yLsV9jGh2ycnJ6NKlC3bs2AFtvv/+e0ycOBGGYCBKZEJxd+7ISUdi8lHs9es6PUYBoHrDBvCBCilnzwBHDiMeQPzx47Dz8EDVn34p9HoTmZJ/nToaZafDwtDi449hY8ePNSoaxb1rPru5c+fKltD9+/fLLnvbHBk1Mic1GYJ/sURFLCM1FZfWr8fJsDBc+esvnR8XWK4sQsuWQcaJ41CdPY0ULftEr1vLQJSKvYCGDeFbowYenD2bVZYYHY2rmzahYo8eJq0bUXF0/fp1jBw5UqZyMjYGokRF5P6FCzL4PD13LhIfPNDpMY5OjqjeoAHc42KRcvky0qMi8tzf3tvbSLUlMu/0a7XGjME/OboCRfc8A1Eq0hZRpXW0iIaEhBRaQnuurERUiFITEuS4zznNmuGPatVwcNo0nYLQ0BrV0bplc9RVqOBw7IgMQvPj2aQpas5baKSaE5m36lpynl5dvx7xd++apD5kfaxprfmBAwdi+/btWLp0KZ5kG59tDGwRJTIy8aZy9+BBGYCeWbAAGSnaOtE1efr4oGrN6rC/dRNpVy9r7XrPycbFBaXGjEXw8JFwq1q1wHUnshTO3t6oOmgQLixerFZ+du5cNH3vPZPVi6ionD59GocOHZIz2MWa8E2aNMl1otH69etx48YNlC9fXq6WpO+YTnd3d9SpU0cGpMaerKRQWUIoTmQBnty/jzPz58sA9MH58zpPPKrWqCFK2iiQfOqkzufyad8BwSNGomTXbrBxcChArYkse/b80rZt1co8Q0Iw7soVLu5AhebOnTtypaGl7k4oaVPwjuX7SiUGxCfLJTVLlSqV7/5xcXHo3r07jh8/LpfddHBwkC2VLVq0wLJly9SS0EdHR6NNmzYy8Gzbti22bNkih7aI2e8+Pj4613Hx4sUYNWoUXn31Va2TlRo0aIAqVarAEGwRJSoAZUYGrv39tww+w1eu1PlxAeXKokJIOajOnkXGmVNI1uExjsGlEDxyFIKGDoVz6TJ83sjqlWnTRgaeIql9JvHvWzt3ouyzz1r99aHiKS4uDo8fP8a5c+dQpsy/nwWvv/66zOX5888/Y/LkyVn7vvXWW8jIyMCBAwfg5OSEjz/+GDVq1MD777+PP/74Q+dzivGhL730Er766iuj/z4MRIkM8Oj6dZyaM0duIgWTTn9sdnao2bQJPBPikRx+Id+JR5n8n+uH4OEj4P3Ms2zlIcpGYWMjJy3tef99jUlLDESpsIn+ZOOkb4JevLy8sG3bNrWlNitVqoTKlSvjyJEjal3yy5cvx0cffSSDUMHFxQXDhw/HtGnT8Msvv8jPJV0EBATg4cOHKAycrESkB7HO+4L27fFL+fLY88knOgWhIWLiUZtWaGBvA8ejh2UQmh+36tVR+Ztv0fr2PdSatwA+bdsxCCXSosaIERplYtxoUiF9aBKpJbQ30qYPNzc3jfXe4+PjZYolMbs904ULF5CUlITatWur7SvGeor9r1y5ovM527dvL7vno6KiYGxsESXSUdTp05j3zDM6fX119y6B6rVrw/HeXaSIiUdX85/1DoVCdr0HjxgFj/r15TgeIsrnby0oCKHdu8sZ89mdX7gQ9V99lZePLEZEhHovmYeHh9x08fbbbyMlJQXDhg3LKrt//778mXMsqPfTNH/ifl3HdR48eBAJCQmy5bVRo0ZwdXVVu3/06NFy3KohGIgS6Uiu+55PEComHvnZ2yH5+DHg4H6dZr57NWsuJx759+4D2xx/3ESUP9E9nzMQPTVzJuq98gq/0FGh+Tf1knGOI4gAL7spU6bIbvX8/Pbbb/j999/x448/yvGfOeVs1DCkkUNMThKToXJjU4BJWwxEiXRUpmVL2WqZ853Hr2wZVKoQClwMR7qOE4/sSpSQwWfwsOFwrWzYTEMi+ldoly5w8fOTqytlEqsuRR45gsAcH+5Exk1ob5zjCIcPH0ZgYCAy6dIaumjRIrzyyiv48MMP5Yz27DK773OO7YyJiVG7XxcjRoyQW2HgGFEiHXmVK4fWU6dCYWsLW3t71G3eDM80aoDy0ZFI378P6TqMSfPt1Bm1lyxD6xu3UemzLxiEEhmBWF++1ujRGuWnZs3i9SWLERgYKNM3ZW75BaLr1q2TE4/EjPmpU6dq3F+1alWZtknkG805A16MM61QoQLMAfOIEunp8fnzONygrs77O5crJ8d9Bg55Hk7BwbzeRIXg0ZUrmFmxolqZ+NL4WmwsHNzceM3J6HlEFzjaoaQRxvLfV6nwfEq6znlEBbHKUdeuXTFu3Dj89NNPue43ePBgGXieOHFC5hsVM+lF933r1q0RFhYGc8CueSI9RczWrZUlYOAgmXapRMtWnPFOVMhKVKiAMs88g1s7dmSVqTIyEL5sGWqNGsXrT8UqEO7Zs6dsMS1ZsiQ+/fTTrPtEXtHsE5ZEmqaWLVvKTcx8/+uvv2TKpi+++ALmgoEokZ5sXVxyvc+9Vm059jNgwEDYlyjBa0tUxJOWsgeimTlFGYhSYZCpl4yQ3ESl54wnEUhmLqcpZspnl/O26O4XLaIrV67EzZs3MWnSJPTp00fmEzUX7Jon0lNC+AUcatoYyqd/8Ap7+3/TLg0fCY+6unfZE5FxpScn42dfX6Q9eaJWPursWfhWr87LTUbtmp9nZ2O0rvlh6Uq9uuaLE05WItKTW5WqqL9lK8q98SZqzP4Tz0TeR9UffmIQSmRidk5OqKmlG/60mYyFIyJNbBElslKqmAgor5yAwjsAitC6zLdIxUL06dP4M8dKMg4eHpgQHQ07R0eT1YuKX4voXBsFfI3QIvpApcJwpcpqW0Q5RpTICikjriJ93hQgI03etu32EmxrtTZ1tYgKzK9WLQQ0bChziGZKjYvDlbVrEfpMG9xfMBspN6/DsVx5lBwyEvYl/XjVyfA8oka4dipjZMW3YAxEiayQ8uSOrCBUyNi5GDY1W7FVlIrNpKXsgahwftEi2G1ejbjd/2SVxe/fg0pL1/N1T2RCHCNKZI2cc+RVTHgE1a0LpqoNkVFVHThQoywtIQEpN66plT05fgTxe3fx6pNBREOmnDlf0E1l3U8AA1EiK2RbXXPNYOWxLSapC5GxOXp4oNmUKVm3Xf390XzqVLg2aKyx75WRA/gEkEFURtysGbvmiayQomQpwMsfiI3KKlOGH4QqKQGKnK2lhUSVkY7kI/uQcvoI7EqVg2unPkz8T0bTfMoUmeA+IzkZpVq1gr2zMxKc7BGzaqnGvhnxcbB1z39dbyIyPgaiRFbKtnlvZGz8Q61MeXYPbBt2LrRzikH56TcuI3H330hYOU/9TmUG3LqxdYqMQ6FQoExr9Ql4rvUawqlSFSRfClcrv/v1JyjzyTe89KQX5dOtoJRWft3ZNU9kpWyqNtUoy9i9tNBmcKZdv4R7PRsj+rXnNYNQAEl7thXKeYmyB6dipnxODxbPs/qZy0SmwkCUyEopHJxgU/sZ9cKUJKjuXTbK8VVKJdJuXkX8qvm426ORDEDzYuvrb5TzEuXFu0dfKOwdNMrjdqsvDUqka4uoMTZrxkCUioRoZbuxaxdWDR2Kb4OCsKBLFyTFxvLqm5hN3XYaZcoTBWuZTL8fhbglYbjXqwmiXxmEuD9/zvcxzs3bwuvFtwp0XiJd2Lq7w7t3P43yh8sW8gKS3jhRqeA4RpQKVXxkJE7NnYvDv/6KuNu3s8qvRETg7zfeQE8uvWdSisBQwMkVSP5vbW7l6V1QtR8BhaOLzsdRpaUh+cheJKxdhNQLp3R+nOeLk+HSqiNs3Nz1rjsZj1KZgZSUZDg4OMHW1rbYX1rffoM1As/4/buhTEmBDVdfIipSDETJ6DLS03Fl82YcnzULF9euzXW/i+vX8+qbwZg52xbPIWPbXLVy5bl9sK3XPt/Hp925gcSt65CweoHO53Ss0xgew1+GQ2gVg+pMxpORkYE7Ny8jNuY+VCol7OzsUalaPTg4OhXry+xSpz6cKlRG8pWLajPnY//eCO/ufUxaN7IcnKxkHAxEyWhirl3Didmzceinn5AaH5/v/gE51oMm07Cp0VIjEM3YvybPQFSkXnr0w1Qk7dI996jXK/+Dc6sOsCnmQY4leRh9D48e/pfCKz09DdGRt1GqbEUU+0lLQ0fh9pS31crvfjkVHq2ehZ2nl8nqRpaDgahxcIwoFUhacjLOLFmCuW3b4qfQUOz57DOdgtBGEyag3/LlvPpmQOHiDkXlHIm+4x5AGXk918eknDikUxDq1vt5+P22HMHrDsO1fQ8GoWYmPdsyr5lk66iy+E+f8OnTHzYu6sNP0qIice2lkVCmJJusXkTWhi2iZJDI06dxIixMtn7qqmyrVqg3Zgyq9u0LhxwfAGRaovUz/eIhtTLlie2w6TxG6/4KB8dcj+VQvS7ceg6CU4MWUNjxLcacubhojs0VraLx8bHw8PRGcWbj7ILgt6dotIomHNqPm+9MRLnvfuca9JQnY62KpLLy68xPCdJZclwczi5ZguMzZ+Le0aM6PcbWwQFNJk5E3dGj4VupEq+2mVKUq65RpjyxFaq2z8s0Tzk5VK8D+9AqSLv6X2Jw9yEvwLVtN6ZhsiAurtoniaVaSYug76BhiNv9Dx5vV2/df7R+NZwrV0PAi6+arG5E1oKBKOUr9uZN7Jw6FSfnzNH5alXs0kUGn5W7d4etvT2vsplTKGxg26o/MnYvUytXXjgA25y5RsX+tnbw/WI6Uo4fgI27p2wFVdhwpI+lsXdwhKOjM1JSkrLKbGxt4eZhHWMkxWtWtHxeHtIbiWfVsz3c+/YzpEVFIOj1d7n8J2nFMaLGwUCU8h0DOrNxYzyJ+m9CQ17afPSRDEA9S5XilbUwNrXaaASiqhtnAS2BqNzfyRnOzZ4totpRYU3aKR1SGXdvXUFGRjpc3TzgF1AaTk7WM3TG1tUVobMW4ELnNkh/9FDtvvvzZyP52lVUnKv+d0EksGveOBiIUp4e37qVbxBavX9/VB8wAFV69YINW8UslsLDB4rQOlBdPflfmU+QSetEhc/N3ROVq9e36ktt7+uHCnOWILyXZqaI+H27kHQpHM6VmG6MqDCwL43yVKJ8eXiWLatR7lOpEjp+9x3eun8f/ZYuRbU+fRiEFgN2ncdBUb4OFAEhsG0zCDbNepm6SkRFwqVGLZT5bJrW+x4uX8RngbS2iBpjeU+VlV9bhUqsvUiUhxu7d2Pl4MFIjo1FjYED5cz3Uo0bc0YpERUr4uPw6qhBiNujvu68bQlv1Nx7kqsukXTnzh2ULl0a3wMwRm6JGACTANy+fRulrHBYG7vmKV/lWrXC67dvM/AkouI/ZnbqlzjfsSVUaalZ5RmPYuTM+hJdepi0fkTFEbvmSec3aCKi4s6xTDmUHDZao/zBUt2XsSXrmqxkjM2aMRAlIiLKxn/MS1onLaXcvc3rRGRkDESJiIiysS/pB+8+AzSuycPli3mdKIsxJiopn27WjIEoERFRDr4Dh2qdPa/KyOC1IomBqHEwECUiIsrBtW4DOIZWVCsTKy3F7d3Ja0VkRAxEiYiItEzQ9H1ukMZ1ebhsIa8VSZysZBwMRImIiLTw7t1Poyx2y0akPbzP60VMaG8kDESJiIhyWfrTs31njfKY1ct5vYiMhIEoERFRLny0dM8/WLZQrsJE1o2TlYyDgSgREVEuPFu3hZ1vSbWylGtX8OToIV4zK8cxosbBQJSIiCgXCjs7+GjJKXp/4RxeMyIjYCBKRESUB59+gzXKHm1Yg/RHMbxuVoxd88bBQJSIiCgPTiGhcG3QWKM8Zt1KXjeiAmIgSkRElI/AV9/UKLvz+RReNyvGMaLGwUCUiIgoHx7NWsGrSw/1wowMJJ4/y2tnxYGoMbrnVQWow4ULF7BkyRL5My8nTpzA6tWrcerUKZgbBqJEREQ6CHz1LY2yB0vm89pRkduwYQOaNWuG3r17Y9CgQVi7dq3W/RITE9G+fXt06dIFc+fOlf/u2rUrkpOTYS4YiBIREenAuUIl2JbwVit7sOhPKFNTef2skCknKz158gTTpk1DeHh4nvu9//77OH/+PM6cOYM1a9bg9OnTOHLkCKZOnQpzwUCUiIhIR8Fv/U+j7PE/f/P6WSFTjhEdMGAAmjZtmuc+aWlpmDNnDsaMGQNfX19ZFhAQgBEjRiAsLAxKpSEhsPExECUiItJRiS49Ncoifv6W14/MzsWLF/H48WM0atRIrVzcvn//Pq5fvw5zwECUiIhIR7ZubvDq1F2tLPniBaTeu8traGWM3TUfERGBO3fuZG1xcXEFqp84nuDn56dWnnk7MjIS5oCBKBERkR78RozVKHu4YjGvIRVIo0aNULp06aztu+++K9DxMjIy5E8bG/VQz9bWVv5MT0+HObAzdQWIiIgsiWt99a5OIeKnbxAw4XUocnzoU/Fl6EQjbccRDh8+jMDAQGTy8PBAQZQoUUL+FN3z2cXGxsqf3t7qE+9MhX8xREREelAoFAjSMmkpfv8eXkcrYuzJSoGBgShVqlTWVtBAtGrVqrL1M2eOUXHbwcEBFStWhDlgIEpERKQnnz4DNMqi/5zB60hmw8PDAx06dMDChQuhUv0b7oqZ8osWLUK3bt3g5OQEc8CueSIiIj3Zl/SDa90GeHLiaFZZ3M5tSH8cCztPL15PK1pZyRjH0dfly5dx7NixrNsiP6hYYcnV1RXdu/83mU7kGhWJ70W6J5HUXiS+v337NpYtWwZzwRZRIjORnpaK2zcu49rls0iI+3cMDxGZL/8XXtEoe7R+tUnqQtaVR/T69esyQb3YRJApWjrFv//++2+N7nkRpFapUgU7duxA7dq15TKfFSpUgLlQqDLba4nIZMSf4ZXwk3iS8F+6jjIhleHtG8BnhchMqdLTcaJKsFqZwt4BdS/cNlmdqPCJ1EpiVvvbADyNcLzHAL4CZEulGBtqbdgiSmQGIu/eUAtChbu3r5qsPkSUP4WdHfxGj1crU6WlIvHCOV4+K2DKJT6LEwaiRGYg5mGURpm9nUPWAHMiMk++A57XKBPrzxORbhiIEpkBJ2cXjbKA4HIyTQwRmS+n8hVg51tSrezB4nlQpiSbrE5UNNgiahwMRInMgI/vf0mMM9naMakFkSUI1pJTNHbbZpPUhaxjslJxwkCUyAx4ePnAyem/VlEXV3e4uhljGDwRFTavzuprzwsRP3zNC0+kAza5EJkBsRZwaJXaiI25D3t7BxmY5lwfmIjMk62LK0r06ItH61ZmlaVcv4qUu7fhGFzapHWjwhNnpNbMeFg3pm8iIiIqoCenT+Bin05qZQEvT0LQpHd4bYsZsVZ7aGgoYmJijHZMb29vXL16FV5e1rcYAgNRIiKiAhIZLk5U1Mz7W/dSBBTs3SiWwWhCQoLRjufm5maVQajAQJSIiMgIoufNwp2P31crq/DnMni0aM3rS5QLDkIjIiIyAu+ez2mURf72A68tUR4YiBIRERmBnacXPFo9q1aWcHg/0mMf8foS5YKBKBERkZEEvDRRoyxm7QpeX6JccIwoERFRYU9auhzJldKItGCLKBERkZGIZXmDJn+gUf6YKy0RacUWUSIiIiNKe3gfZxrX0CivdyWK15koB7aIEhERGZG9T0k4VaisUa5MSuR1JsqBgSgREZGRBb/zoUbZo80beZ2JcmDXPBERkZGpMjJwonKQWpmNqyvqnLrGa02UDVtEiYiIjExhawu/MS+plSmfPEHyDQaiRNkxECUiIioEJQcP1yi7v2A2rzVRNuyaJyIiKiSnGlZFxqMYtbK64XehsLPjNSdiiygREVHhKf3Bpxplj3du4yUneootokRERIVEmZyEkzXKqZWJ1E7VNu/mNSdiiygREVHhsXFyhnevfmplyVcuIi2aye2JGIgSEREVMr/R4zXKHixbyOtOxK55IiKiwne8gr9GWd1LEVDYMHkNWTf+BRAREZlA7BautETEQJSIiKiQ+Y16UaMsbtd2XneyegxEiYiICpnPc4M0ymw9PHndyeoxECUiIipkzpWqIOCVN4GnY0LdmjRHwMuTeN3J6jGPKBERURFJj30k16G3dffgNSfirHkiIiIiMhV2zRMRERGRSTAQJSIiIiKTYCBKRERERCbBQJSIiIiITIKBKBERERGZBANRIiIiIjIJBqJEREREZBIMRImIiIjIJBiIEhEREZFJMBAlIiIiIpOwM81piYislyo5DqrbhwBbRyhKN4LC3snUVSIiMgmFSqVSmebURETWR5WeAtXhMCAlLqtM0XQ8FE6eJq0XEZEpsGueiKgoPbqpFoQKqgO/QxUfyeeBiKwOA1EioqLk5KG1WHX0T6geXuNzQURWhYEoEVFRcvMHyjTVepfq9DKo7p7g80FEVoNjRImITECVkgDV/l+031m6IRShz0KhUBR1tYiIihQDUSIiE1FlpP0bjKanaN4ZVAc2lTuZolpEREWGXfNERCaisLWHovlrgGcpzTvvnYQq4b4pqkVEVGQYiBIRmZDCxgaKukNkC6gmZtcjouKNgSgRkYmJsaCiG15Roe1/hSLRvZufKatFRFToOEaUiMiMqNKTgYx0KBzdTF0VIqJCx0CUiIiIiEyCXfNEREREZBIMRImIiIjIJBiIEhEREZFJMBAlIiIiIpNgIEpEREREJsFAlIiIiIhMgoEoEREREZkEA1EiIiIiMgkGokRERERkEgxEiYiIiMgkGIgSERERkUkwECUiIiIik2AgSkREREQmwUCUiIiIiEyCgSgRERERmQQDUSIiIiIyCQaiRERERGQSDESJiIiIyCQYiBIRERGRSTAQJSIiIiKTYCBKRERERCbBQJSIiIiITIKBKBERERGZBANRIiIiIjIJBqJEREREZBIMRImIiIjIJBiIEhEREZFJMBAlIiIiIpNgIEpEREREJsFAlIiIiIhMgoEoEREREZkEA1EiIiIigin8H7ek8qcx7BPeAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 880x880 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "z = m.merge(p[['m2_weekday']], left_on='sensor_key', right_index=True, how='left')\n",
    "ax = z.plot(column='m2_weekday', cmap='OrRd_r', scheme=None, figsize=(8, 8), legend=True, missing_kwds={'color': '#cfcac0'},\n",
    "            linewidth=2.5, edgecolor='face', legend_kwds={'label': 'm² each at the busiest weekday hour', 'shrink': .6})\n",
    "ax.set_axis_off(); ax.set_title('Space per person at the busiest weekday hour', loc='left');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f660f1dc",
   "metadata": {},
   "source": [
    "## Notes\n",
    "\n",
    "- Zones were checked against the council footpaths, building footprints and road corridors at full size. The note on\n",
    "  each sensor in `sensors.csv` says why a zone was adjusted, why it can't be verified, or why there is none.\n",
    "- Sensors on building walls sit up to 10.8 m from the footpath they count. In Plotlay they were joined to the nearest\n",
    "  zone within 12 m. Every one of them is more than 100 m from any other zone.\n",
    "- Counts are as the council publishes them. Missing hours are left out of the averages, never filled in."
   ]
  }
 ],
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   "display_name": "Python 3",
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   "name": "python3"
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