{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Päivitetty 2023-12-10 / Aki Taanila\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "print(f'Päivitetty {datetime.now().date()} / Aki Taanila')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Seaborn\n",
    "\n",
    "Seaborn on matplotlibin päälle rakennettu grafiikka-paketti, joka tarjoaa helppoja tapoja kaavioiden luontiin suoraan datasta. Kaavioita voin muotoilla kuten mitä tahansa matplotlib-kaavioita, joten muotoilu edellyttää matplotlib-osaamista.\n",
    "\n",
    "Tässä muistiossa on esimerkkejä seuraavista kaaviolajeista:\n",
    "\n",
    "* **countplot** - lukumääräyhteeveto kategoriselle muuttujalle\n",
    "* **histplot** -  luokiteltu jakauma määrälliselle muuttujalle\n",
    "* **barplot** - virhemarginaaleilla varustettu pylväskaavio keskiarvoista\n",
    "* **boxplot** - viiden luvun yhteeveto (pienin, alaneljännes, mediaani, yläneljännes, suurin)\n",
    "* **scatterplot** - hajontakaavio, joka havainnollistaa kahden määrällisen muuttujan välistä riippuvuutta\n",
    "* **jointplot** - hajontakaavio täydennettynä muuttujien jakaumilla\n",
    "\n",
    "Tässä muistiossa on myös esimerkkejä usean kaavion kuvioista käyttäen **catplot**-, **displot**- ja **relplot**-funktioita.\n",
    "\n",
    "Seaborn-kaavioita on helppo laatia, jos muistaa keskeiset parametrit:\n",
    "\n",
    "* **data**\n",
    "* **x**\n",
    "* **y**\n",
    "* **hue** (minkä muuttujan mukaan tehdään värierottelu?)\n",
    "* **row** (yhdistelmäkaavioiden catplot, displot ja relplot yhteydessä)\n",
    "* **col** (yhdistelmäkaavioiden catplot, displot ja relplot yhteydessä)\n",
    "* **kind** (kaaviolaji yhdistelmäkaavioiden catplot, displot ja relplot yhteydessä)\n",
    "\n",
    "\n",
    "## Seaborn-kaavioiden värit ja koot\n",
    "\n",
    "Kaavion luonnissa voin määrittää värin **color**-parametrin arvona. Esimerkiksi tämän muistion ensimmäiseen kaavioon saan pylväille vihreän värin seuraavasti: `sns.countplot(data=tips, x='size', color='green')`. Reunavärin voin määrittää **edgecolor**-parametrilla.\n",
    "\n",
    "* Värejä: https://matplotlib.org/stable/gallery/color/named_colors.html\n",
    "\n",
    "Kaavion luonnissa voit määrittää käytettävän värikartan **palette**-parametrilla.\n",
    "\n",
    "* Värikarttoja: https://matplotlib.org/stable/tutorials/colors/colormaps.html\n",
    "\n",
    "Yksittäisen kaavion koon voin määrittää luomalla kaaviota ympäröivän kuvion (figure) ennen kaavion luomista. Esimerkiksi `plt.figure(figsize=(10,6))`.\n",
    "\n",
    "Yhdistelmäkaavion (catplot, displot, relplot, jointplot) kokoa säädän **height**- ja **aspect**-parametreillä."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = sns.load_dataset('tips')    # Esimerkkidata ravintolaseurueiden tipeistä\n",
    "tips"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## countplot\n",
    "\n",
    "Sopii kategoristen muuttujien lukumääräyhteenvetoihin: https://seaborn.pydata.org/generated/seaborn.countplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='size', ylabel='count'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri kokoisten seurueiden lukumäärät\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.countplot(data=tips, x='size')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='count'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lounas- ja päivällisseurueiden lukumäärät eri viikonpäivinä\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.countplot(data=tips, x='day', hue='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**For**-toistorakennetta käyttäen voin esittää usean muuttujan jakaumat yhdessä kuviossa, joka sisältää monta kaaviota.\n",
    "\n",
    "Komento `fig, axs = plt.subplots(nrows=1, ncols=4, figsize=(12,3))` luo kuvion, jossa on 4 kaaviota vierekkäin (ncols=4). Komento palauttaa sekä kuvion (fig) että sen sisältämien kaavioiden listan (axs).\n",
    "\n",
    "**Enumerate**-funktio palauttaa sekä kategoriset-listan muuttujien järjestysnumerot että muuttujien nimet. Järjestysnumeroita tarvitaan osoittamaan mihin kaavioon mikäkin muuttuja sijoitetaan (`ax=axs[i]`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Kategoristen muuttujien lukumääräyhteenvedot\n",
    "\n",
    "kategoriset = ['sex', 'smoker', 'day', 'time']\n",
    "\n",
    "fig, axs = plt.subplots(nrows=1, ncols=4, figsize=(12,3))    # Neljän kaavion kokoelma\n",
    "\n",
    "for i, muuttuja in enumerate(kategoriset):\n",
    "    sns.countplot(data=tips, x=muuttuja, ax=axs[i])\n",
    "    \n",
    "fig.subplots_adjust(wspace=0.3)    # Kaavioiden välinen tyhjä tila"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "countplot sopii käytettäväksi <b>catplot</b>-toiminnon yhteydessä (`kind='count'`). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille. Seuraavassa ryhmittelevinä kategorisina muuttujina ovat sex (`col='sex'`) ja smoker (`row='smoker'`).\n",
    "\n",
    "https://seaborn.pydata.org/generated/seaborn.catplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24264c85f10>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YQQ0AgIUR1AAAWJhPgvrYsWMaN26coqOj1bZtW40cOVKHDx+WJKWlpal///6KiIhQbGysli9f7osSAQCwBJ8E9T333KP8/Hy9//77+vjjj2Wz2TR58mTl5uZq+PDhio+P15YtW5SYmKgZM2Zo+/btvigTAACfC/D2Cr/55hulpaVp48aNqlmzpiTpiSee0JEjR7Ru3TrVqVNHCQkJkqT27dsrLi5OS5YsUatWrbxdKgAAPuf1oN6+fbuaNm2qZcuW6fXXX1dBQYFuvPFGjR8/Xjt37pTdbnebvmnTpkpJSfF4PQ6Ho6xKBioFm812UfPTc4BnSttzXg/q3Nxcpaenq2XLllq1apUKCws1btw4jR8/XvXq1VNQUJDb9NWqVVN+fr7H69mxY0dZlQxUCpGRkRc1Pz0HeKa0Pef1oA4MDJQkTZw4UVWrVlXNmjU1duxYDRgwQH369FFhYaHb9IWFhapRo4bH6wkLC7vodwgASo+eA8qH14O6adOmcjqdKi4uVtWqVSVJTqdTknT99dfr3//+t9v0GRkZatasmcfrsdlsHDQAL6LngPLh9bO+O3TooEaNGumRRx7RiRMnlJOTo1mzZqlr167q1auXsrKylJycrOLiYm3evFlr1qxR3759vV0mAACW4PWgrlKlil577TXZbDb16NFDPXr0UIMGDTR9+nQFBwdr4cKFWrt2raKjozVp0iRNmjRJ7dq183aZAABYgp8xxvi6iLLkcDi0bds2hYeH8zEc4AX0HFC+uIQoAAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1LMnhdPq6hAqDfQlc2gI8nWHEiBGaN2/eacNvu+02LV68uEyKAmz+/pr07/XafTjX16Vc0q79U21NG3ijr8sAcBFKFdT79+/X6tWrJUkbNmzQ888/7zY+Ly9P6enpZV4cKrfdh3P1w4EcX5cBAD5VqqC+8sortXPnTuXk5MjhcCg1NdVtfNWqVfXYY4+VS4EAAFRmpQpqf39/Pffcc5KkSZMmadq0aeVaFAAA+JXH31FPmzZNRUVFysnJkfMPJ6lceeWVZVYYAAC4gKBeu3atJk+erLy8PNcwY4z8/Pz0/fffl2lxAABUdh4H9Zw5c5SQkKBbbrlFAQEezw4AADzgcdL+/PPPGj16NCENAIAXeHzBk9DQUGVkZJRHLQAA4A88flvcpk0bDR48WH/5y19Ur149t3GjR48us8IAAMAFBPXXX3+tZs2aadeuXdq1a5druJ+fX5kWBgAALiCoX3vttTJbucPh0ODBg3XVVVdp5syZkqS0tDRNmzZNGRkZCg4O1ogRI9S/f/8yWycAAJcSj4P61KVEzyQ+Pt6jZT3//PPaunWrrrrqKklSbm6uhg8frnvvvVe33nqrtmzZolGjRikkJEStWrXytFQAAC55F/TzrN/Lzc1VQUGBIiMjPQrqTZs2ad26derevbtr2Lp161SnTh0lJCRIktq3b6+4uDgtWbKEoAYAVEoeB/VHH33k9tgYo5dfflnHjh0r9TKys7M1ceJEzZ07V8nJya7hO3fulN1ud5u2adOmSklJ8bRMORwOj+eBddhsNl+XUKGUph8udp/Tc4BnSttzF/1jaD8/P91xxx266aabNG7cuPNO73Q69dBDD2nIkCFq3ry527gTJ04oKCjIbVi1atWUn5/vcV07duzweB5YQ1BQkFq0aOHrMiqU9PR0FRQUnHOayMjIi1oHPQd4prQ9VyZXLdm9e3epz/p+8cUXFRgYqEGDBp02LigoSMePH3cbVlhYqBo1anhcU1hYGO/KgP8JCQkp93XQc0D58DioBw0a5BbKxcXFSk9PV+/evUs1/xtvvKHDhw8rKipK0q9BLEkffPCBxo0bp88//9xt+oyMDDVr1szTMmWz2ThoAP/jjV6g54Dy4XFQR0dHuz329/fX4MGD1bVr11LNv3btWrfHEyZMkCTNnDlTR48e1dNPP63k5GQlJCToyy+/1Jo1azR37lxPywQAoELwOKh/f/Wx7Oxs1a5du8yu+x0cHKyFCxcqMTFRc+bMUd26dTVp0iS1a9euTJYPAMClxuOELS4u1tNPP63ly5ersLBQgYGB6t27tyZPnqzAwECPCzh1oZNTwsLCtHTpUo+XAwBAReTxTTnmzp2r1NRUzZ49W2+99ZZmz56ttLQ0zZ49uxzKAwCgcvP4HfWaNWu0aNEiNWrUSJLUpEkTNWnSRAkJCaX6eRYAACg9j99R5+bmqmHDhm7DGjZs6Dp7GwAAlB2PgzokJOS075CXLl162hXFAADAxfP4o++xY8dq6NChevPNN9WoUSNlZmYqIyNDCxYsKI/6AACo1DwO6qioKE2cOFFpaWkKCAhQTEyMBgwYoDZt2pRHfQAAVGoXdPesVatWadGiRWrcuLE+/PBDTZ8+Xbm5uRo2bFh51AgAQKXl8XfUKSkpevXVV9W4cWNJUpcuXbRo0SItWbKkrGsDAKDS8zio8/LyznjW94Xc4QoAAJybx0EdGhqql156yW3YwoULT7tlJQAAuHgef0c9YcIEDR06VMuWLVODBg106NAhlZSUaP78+eVRHwAAlZrHQR0aGqp169bp448/1uHDh9WwYUPdfPPNqlWrVnnUBwBApXZBt72qXbu24uPjy7gUAADwRx5/Rw0AALyHoAYAwMIIagAALIygBgDAwghqAAAsjKAGAMDCCGoAACyMoAYAwMIIagAALIygBgDAwghqAAAsjKAGAMDCCGoAACyMoAYAwMIIagAALIygBgDAwghqAAAsjKAGAMDCCGoAACyMoAYAwMIIagCAHE6nr0uoMMp6XwaU6dIAAJckm7+/Jv17vXYfzvV1KZe0a/9UW9MG3limyySoAQCSpN2Hc/XDgRxfl4E/8MlH3z/88IOGDBmiG264QR07dtS4ceOUk/PrH0daWpr69++viIgIxcbGavny5b4oEQAAS/B6UBcWFmrYsGGKiIjQhg0b9NZbb+nYsWN65JFHlJubq+HDhys+Pl5btmxRYmKiZsyYoe3bt3u7TAAALMHrQX3w4EE1b95co0aNUmBgoIKDg3Xrrbdqy5YtWrdunerUqaOEhAQFBASoffv2iouL05IlS7xdJgAAluD176ivu+46zZ8/323Ye++9p9DQUO3cuVN2u91tXNOmTZWSkuLxehwOx0XVCd+y2Wy+LqFCKU0/XOw+p+cubfRc2SrLnvPpyWTGGM2ePVsff/yxFi9erFdffVVBQUFu01SrVk35+fkeL3vHjh1lVSa8LCgoSC1atPB1GRVKenq6CgoKzjlNZGTkRa2Dnrt00XNlryx7zmdBnZeXp4cffljffvutFi9erJCQEAUFBen48eNu0xUWFqpGjRoeLz8sLIxXiMD/hISElPs66DngN2XZcz4J6szMTN1555268sorlZKSorp160qS7Ha7Pv/8c7dpMzIy1KxZM4/XYbPZOGgA/+ONXqDngN+UZS94/WSy3Nxc3X777WrTpo0WLFjgCmlJ6tatm7KyspScnKzi4mJt3rxZa9asUd++fb1dJgAAluD1d9QrV67UwYMH9e6772rt2rVu477++mstXLhQiYmJmjNnjurWratJkyapXbt23i4TAABL8HpQDxkyREOGDDnr+LCwMC1dutSLFQEAYF3clAMAAAsjqAEAsDCCGgAACyOoAQCwMIIaAAALI6gBALAwghoAAAsjqAEAsDCCGgAACyOoAQCwsEod1A6n09clVBjsSwAoHz67H7UV2Pz9Nenf67X7cK6vS7mkXfun2po28EZflwEAFVKlDmpJ2n04Vz8cyPF1GQAAnFGl/ugbAACrI6gBALAwghoAAAsjqAEAsDCCGoDX8DO+ssO+rDwq/VnfALyHn0SWDX4SWbkQ1AC8ip9EAp7ho28AACyMoAYAwMIIagAALIygBgDAwghqAAAsjKAGAMDCCGoAACyMoAYAwMIIagAALIygBgDAwghqAAAsjKAGAMDCCGoAACyMoAYAwMIIagAALIygBgDAwghqAAAszJJBnZ2drZEjRyoqKkrR0dFKTExUSUmJr8sCAMDrLBnUY8eOVfXq1bV+/XqlpKRo06ZNSk5O9nVZAAB4XYCvC/ijvXv36osvvtBnn32moKAgNWrUSCNHjtTTTz+tYcOGnXd+Y4wkqaioSDab7ZzT2mw2NWtQW4E2vzKpvbK6pv5lcjgccjgcZbZMnpuy4clzY7PZ5O/vLz8/z/Y5Ped99Jx1lUfP+ZlTXWYRH3zwgSZOnKjU1FTXsPT0dPXu3VtbtmzRZZddds75i4qKtGPHjvIuE6iQwsPDzxu2f0TPAReuND1nuXfUJ06cUFBQkNuwU4/z8/PPG9QBAQEKCwu7oHcGQGXn7+/5t2H0HHDhStNzlgvq6tWrq6CgwG3Yqcc1atQ47/z+/v4KDAwsl9oAnI6eA8qX5U4ma9asmY4dO6asrCzXsF27dqlBgwaqVauWDysDAMD7LBfUjRs3VmRkpKZPn668vDzt27dPc+fOVb9+/XxdGgAAXme5k8kkKSsrS1OnTlVqaqr8/f0VHx+vBx980OOTXAAAuNRZMqgBAMCvLPfRNwAA+A1BDQCAhRHUAABYGEENAICFEdQAAFgYQQ0AgIUR1AAAWBhBDQCAhRHUAABYGEENAICFEdQAAFgYQQ0AgIUR1AAAWBhBDQCAhRHUAABYGEENAICFEdQAAFgYQW1xISEhSk1N9XUZkqRBgwapc+fOOnr0qNvw/fv3KyQkRPv377+g5cbGxlpmG0vj1Pa2atVKx48fP238tGnTFBISopUrV5ZqeVZ6jisDK+1veuo3p3oqIiLC7d/EiRO9XktsbGyp+9cbCGp45NChQxo/fryMMb4uxeeqV6+ut99+221YUVGR3n77bVWvXt1HVeFSQ0/95uWXX9bXX3/t9i8xMdHXZfkcQX2BkpKS1LlzZ91www3q27evPvzwQ0lSamqqYmNjNX/+fHXs2FGRkZF69tln9eGHH6pHjx6KiIjQPffco6KiIklSYWGhnnrqKXXu3Flt27bVoEGDtH379jOuc+XKlWrbtq22bNkiScrMzNTdd9+t6OhoxcTEaNasWa7lrly5Un369NHQoUMVFRWlNWvWnLa8P75yPfXv0UcfPet2x8fH66uvvtL8+fPPOs3Ro0c1efJkderUSdHR0brrrru0Z8+eUu3XP9qyZYv69OmjqKgodevWTYmJiSopKZEk5eXlaerUqercubPat2+v++67T1lZWZKkt99+Wy1bttQPP/wgSfruu+/UqlUrffbZZ6et48033zzrvti6detZa4uLi9Pq1avdhn3wwQdq0aKFgoODXcN++eUXjR07VrGxsWrdurW6dOmilJSUMy7zXNtU0dFT9NS5nKu2U59ArF69WjExMQoPD9fDDz+srVu3qnfv3oqIiNDtt9+unJwc17ImTZqk7t27Kzw8XDfeeKNeeOGFM663qKhIzz33nLp06aIbbrhBd955p/bu3XtB23DBDDy2adMm07FjR/PLL78Yp9NpXn/9dRMdHW2KiorM5s2bjd1uN9OnTzdFRUXmk08+MXa73QwZMsQcO3bMZGZmmrZt25pVq1YZY4wZP368iYuLM3v27DEnT540ycnJJiIiwhw4cMAYY4zdbjebN282y5YtM+3atTPbt283xhhz4sQJExMTY5555hlTWFhoDh48aPr162eeeeYZY4wxK1asMHa73axcudKcPHnSFBQUXPR233bbbWbOnDlm7dq1pkWLFubLL780xhizb98+Y7fbzb59+1zT/eMf/zCHDx82BQUFZubMmaZz587m+PHjZ1xuTEyM2bx58xnH3XzzzWblypWu9XTq1MmsXbvWGGPMPffcY4YOHWqysrJMXl6emTRpkrn11luN0+k0xhgzYcIEExcXZ44dO2a6d+9u/vnPf170Pvj99qalpZnQ0FDz008/ucYNHTrUvP322yYmJsasWLHCGGPMsGHDzIMPPmjy8/NNSUmJWbhwoWnVqpXJy8szxvz2HJdmmyoqeqpy95Qx7n1wJueq7dT+Gjt2rMnPzzfp6enm+uuvN7179zaHDh0y2dnZplu3biYpKckYY8xjjz1mbr/9dpObm2ucTqdZu3atsdvtZs+ePa79d6p/Z86caeLj401mZqYpLCw0SUlJJjY21hQWFpbZtp8PQX0BvvrqK9OyZUuTlJRkvvnmG1NSUuL6Qz51UMnOzjbGGFNSUmLsdrtZt26da/6BAweapKQkU1hYaEJDQ80nn3zitvy+ffuaF1980Rjz6x/vAw88YEJCQkxaWpprmrffftt07NjR7QC+fv16ExERYYz59aASGhpqHA5HmW33qYOKMcZMmTLFdO7c2Rw9etTtoJKZmWnsdrvZuXOna76SkhLTsWNH89Zbb51xuec6qPTo0cPceeed5qOPPjLHjx93bU9WVpax2+1m165drmnz8/NNixYtzI4dO4wxvx54e/ToYWJiYkxCQoIpKSkpk/3w++0dOXKk62B18OBB065dO3Py5Em3Rj906JA5fvy4KS4uNpmZmeY///mPsdvtpwVHabapoqKnKndPGfPr8xIeHm4iIyNd/7p06VKq2k7tr1Mvuowx5qabbjKLFi1yPX7ooYfMhAkTXMs7evSocTgc5uDBg+bjjz82drvdfPHFF8aY34La6XSa8PBw89lnn7mW43Q6zY033uh6ceMNAd59/14xREREKCkpSa+99prmz5+vatWqadCgQRoxYoRrmlMffdpsNknSZZdd5hrn7+8vY4xyc3NVXFysq6++2m35V199tdtJJF999ZWaNm2qFStWqFWrVpKkAwcOKCcnR23btnVNZ4xRcXGxsrOzJUn169eXv//Zv92Iioo64/BevXrp8ccfP+c+mDBhgrZt26YJEya4nexx6qOoRo0auYbZbDY1bNhQBw4cOOcyz+SVV15RUlKSpkyZoiNHjujGG2/U448/rsOHD0uSBgwY4Da9zWbT/v371bJlS1WvXl19+/bVM888o1GjRrmeiz9as2aNpkyZcsZxL7zwwln3kyT16dNHU6dO1dixY7Vy5Ur17NlTgYGBbtPs27dPTz31lPbs2aPGjRvrmmuukSQ5nU636U7tn3NtU0VFT9FTp8ZFR0efNvx8vVGnTh1Jcv331Lgz/Y1IUnZ2thITE/Xdd9/p6quvdvXWH3syJydH+fn5GjNmjNvzXlxcfEH7/kIR1Bfg4MGDuvzyy7VgwQIVFRVp06ZNGj16tEJDQxUUFCRJ8vPzO+9y6tWrp6pVq2rfvn1q0qSJa3hmZqZiY2Ndj6dOnaq6detqwIAB6tKli2666SY1aNBAf/7zn7V27VrXdHl5ecrOzlbdunVLVcOFflckSYGBgZo1a5b69OmjRYsWuYZfddVVrm1o1qyZJMnhcOjgwYOqX7++R+s4efKkMjIy9PjjjysgIEC7d+/WpEmTNH36dNeB7N1333VbbkZGhuuAlpmZqXnz5ql///566qmn1LFjRzVo0OC09cTFxSkuLs6zHfA/nTt3VnFxsTZt2qRVq1bp+eefdxtfXFysu+66S/fff78GDhwoPz8/ffPNN3rzzTdPW9YVV1xx3m2qqOgpeupcztcbR44ckVS6vxFJGjNmjGJjY7VgwQIFBATo6NGjWrZs2WnTBQcHq2rVqlq4cKHCw8Ndw3/66SdXTd7AyWQXYMeOHRo2bJh++OEHBQYG6vLLL5cktxOISsPf3199+/bVs88+q71796qoqEivvPKKMjIy1LNnT9d0VapUUYsWLTR8+HBNnDhRubm5iomJ0YkTJzR//nwVFRXpv//9r8aPH6/77ruv1H+sF+uaa67RE088oSVLlriG/elPf1Lnzp01bdo0HTlyRIWFhXrmmWfkcDgUExPj0fL9/Px0//33a+HChSopKVH9+vUVEBCg4OBgXXHFFbr55puVmJioo0ePqri4WPPmzVO/fv303//+V8XFxbr//vvVs2dPTZs2TW3bttVDDz102ivmixUQEKDevXtr5syZql27tpo3b+42vri4WIWFhapWrZr8/Px08OBBPf30065xv3e+barI6Klf0VNnVta9cfz4cVWrVk02m005OTmaNm2apNN70t/fX/369dM///lPHTp0SE6nU6tWrVKvXr28ekIZQX0BevTooaFDh2rEiBEKDw/XmDFj9Mgjj6h169YeL2vcuHHq1KmTBg8erOjoaL377rtasGCBrr322tOmHTFihOrWraspU6aoZs2aSk5OVmpqqm666SZ17dpV/v7+mjdvXllsYqn97W9/06233uo27KmnnlKjRo10yy23qEOHDkpPT9crr7zi9rFUaQQGBmrevHn68MMPFR0drdjYWNWvX18PPvigaz2XXXaZ4uPj1a5dO3366aeaP3++6tevr+eee05Hjx7VhAkTJP36DiojI0MvvvhimWz37/Xp00c//vij+vbte9q46tWra/r06frXv/6liIgI/eMf/1DHjh1Vr149/fjjj6dNf65tqsjoqd/QU2dWlr0xY8YMvfPOO2rTpo369OmjK664Qi1atDhjT44fP16tW7fWwIEDFRUVpeTkZM2ZM0ctWrQoi80qFT9j+PEefCs2NlYzZsw443dTADxHT1UsvKMGAMDCCGoAACyMj74BALAw3lEDAGBhPgnqb7/9VgkJCYqKilKnTp00bdo01/V009LS1L9/f0VERCg2NlbLly/3RYkAAFiC14Pa6XTqrrvuUo8ePfTFF18oJSVFGzZs0Msvv6zc3FwNHz5c8fHx2rJlixITEzVjxoyzXlD/TIwxcjgc3IkG8BJ6DihfXg/q3NxcHTlyRE6n09XY/v7+CgoK0rp161SnTh0lJCQoICBA7du3V1xcnNuP/8/H6XRq27ZtXvkRPgB6DihvXr+EaHBwsAYPHqwnn3xSTz31lBwOh7p06aLBgwdr5syZstvtbtM3bdr0rLcEPBeHw1FWJQOVwtmu21xa9BzgmdL2nNeD2ul0qlq1apo8ebL69eunvXv3avTo0ZozZ45OnDjhuq7vKdWqVVN+fr7H69mxY0dZlQxUCpGRkRc1Pz0HeKa0Pef1oH7//ff13nvvuS5836xZM40aNUqJiYmKi4vT8ePH3aYvLCxUjRo1PF5PWFjYRb9DAFB69BxQPrwe1D///LPrDG9XEQEBqlKliux2uz7//HO3cRkZGa47xnjCZrNx0AC8iJ4DyofXTybr1KmTjhw5ohdeeEEOh0P79u3TvHnzFBcXp27duikrK0vJyckqLi7W5s2btWbNmjPe7AAAgMrAJ1cm27hxo2bPnq2ffvpJtWrVUu/evTVq1CgFBgZqx44dSkxM1I8//qi6detq5MiR6tOnT6mX7XA4tG3bNoWHh/PqHvACeg4oXxXuEqIcNADvoueA8sUlRAEAsDCCGpbk4OIZZYZ9CVzavH7WN1AaNn9/Tfr3eu0+nOvrUi5p1/6ptqYNvNHXZQC4CAQ1LGv34Vz9cCDH12UAgE/x0TcAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFuaToD527JjGjRun6OhotW3bViNHjtThw4clSWlpaerfv78iIiIUGxur5cuX+6JEAAAswSdBfc899yg/P1/vv/++Pv74Y9lsNk2ePFm5ubkaPny44uPjtWXLFiUmJmrGjBnavn27L8oEAMDnAry9wm+++UZpaWnauHGjatasKUl64okndOTIEa1bt0516tRRQkKCJKl9+/aKi4vTkiVL1KpVK4/W43A4yrx2eI/NZvN1CRVKafrhYvc5PQd4prQ95/Wg3r59u5o2baply5bp9ddfV0FBgW688UaNHz9eO3fulN1ud5u+adOmSklJ8Xg9O3bsKKuS4WVBQUFq0aKFr8uoUNLT01VQUHDOaSIjIy9qHfQc4JnS9pzXgzo3N1fp6elq2bKlVq1apcLCQo0bN07jx49XvXr1FBQU5DZ9tWrVlJ+f7/F6wsLCeFcG/E9ISEi5r4OeA8qH14M6MDBQkjRx4kRVrVpVNWvW1NixYzVgwAD16dNHhYWFbtMXFhaqRo0aHq/HZrNx0AD+xxu9QM8B5cPrJ5M1bdpUTqdTxcXFrmFOp1OSdP3112vnzp1u02dkZKhZs2ZerREAAKvwelB36NBBjRo10iOPPKITJ04oJydHs2bNUteuXdWrVy9lZWUpOTlZxcXF2rx5s9asWaO+fft6u0wAACzB60FdpUoVvfbaa7LZbOrRo4d69OihBg0aaPr06QoODtbChQu1du1aRUdHa9KkSZo0aZLatWvn7TIBALAEr39HLUlXXHGFZs2adcZxYWFhWrp0qZcrAgDAmriEKAAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEeB/WIESPOOPy222676GIAAIC7gNJMtH//fq1evVqStGHDBj3//PNu4/Py8pSenl7mxQEAUNmVKqivvPJK7dy5Uzk5OXI4HEpNTXUbX7VqVT322GPlUiAAAJVZqYLa399fzz33nCRp0qRJmjZtWrkWBQAAflWqoP69adOmqaioSDk5OXI6nW7jrrzyyjIrDAAAXEBQr127VpMnT1ZeXp5rmDFGfn5++v7778u0OAAAKjuPg3rOnDlKSEjQLbfcooAAj2cHAAAe8Dhpf/75Z40ePZqQBgDACzz+HXVoaKgyMjLKoxYAAPAHHr8tbtOmjQYPHqy//OUvqlevntu40aNHl1lhAADgAoL666+/VrNmzbRr1y7t2rXLNdzPz69MCwMAABcQ1K+99lp51AEAAM7A46A+dSnRM4mPj/doWQ6HQ4MHD9ZVV12lmTNnSpLS0tI0bdo0ZWRkKDg4WCNGjFD//v09LRMAgArhgn6e9Xu5ubkqKChQZGSkx0H9/PPPa+vWrbrqqqtcyxo+fLjuvfde3XrrrdqyZYtGjRqlkJAQtWrVytNSAQC45Hkc1B999JHbY2OMXn75ZR07dsyj5WzatEnr1q1T9+7dXcPWrVunOnXqKCEhQZLUvn17xcXFacmSJR4HtcPh8Gh6WIvNZvN1CRVKafrhYvc5PQd4prQ9d9E/hvbz89Mdd9yhm266SePGjSvVPNnZ2Zo4caLmzp2r5ORk1/CdO3fKbre7Tdu0aVOlpKR4XNeOHTs8ngfWEBQUpBYtWvi6jAolPT1dBQUF55wmMjLyotZBzwGeKW3PlclVS3bv3l3qs76dTqceeughDRkyRM2bN3cbd+LECQUFBbkNq1atmvLz8z2uKSwsjHdlwP+EhISU+zroOaB8eBzUgwYNcgvl4uJipaenq3fv3qWa/8UXX1RgYKAGDRp02rigoCAdP37cbVhhYaFq1KjhaZmy2WwcNID/8UYv0HNA+fA4qKOjo90e+/v7a/DgweratWup5n/jjTd0+PBhRUVFSfo1iCXpgw8+0Lhx4/T555+7TZ+RkaFmzZp5WiYAABWCx0H9+6uPZWdnq3bt2h5d93vt2rVujydMmCBJmjlzpo4ePaqnn35aycnJSkhI0Jdffqk1a9Zo7ty5npYJAECF4PG1vouLizV9+nRFRESoU6dOioyM1OTJk1VUVHTRxQQHB2vhwoVau3atoqOjNWnSJE2aNEnt2rW76GUDAHAp8vgd9dy5c5WamqrZs2fr6quvVmZmpmbNmqXZs2eX+qzv3zt1oZNTwsLCtHTpUo+XAwBAReRxUK9Zs0aLFi1So0aNJElNmjRRkyZNlJCQcEFBDQAAzs7jj75zc3PVsGFDt2ENGzZ0nRQGAADKjsdBHRISctpH00uXLj3tQiUAAODiefzR99ixYzV06FC9+eabatSokTIzM5WRkaEFCxaUR30AAFRqHgd1VFSUJk6cqLS0NAUEBCgmJkYDBgxQmzZtyqM+AAAqtQu6e9aqVau0aNEiNW7cWB9++KGmT5+u3NxcDRs2rDxqBACg0vL4O+qUlBS9+uqraty4sSSpS5cuWrRokZYsWVLWtQEAUOl5HNR5eXlnPOv7Qm6cAQAAzs3joA4NDdVLL73kNmzhwoWn3QkLAABcPI+/o54wYYKGDh2qZcuWqUGDBjp06JBKSko0f/788qgPAIBKzeOgDg0N1bp16/Txxx/r8OHDatiwoW6++WbVqlWrPOoDAKBS8zioJal27dqKj48v41IAAMAfefwdNQAA8B6CGgAACyOoAQCwMIIaAAALI6gBALAwghoAAAsjqAEAsDCCGgAgh9Pp6xIqjLLelxd0wRMAQMVi8/fXpH+v1+7Dub4u5ZJ27Z9qa9rAG8t0mQQ1AECStPtwrn44kOPrMvAHfPQNAICFEdQAAFgYQQ0AgIUR1AAAWBhBDQCAhRHUAABYGEENwGu4qEbZYV9WHvyOGoDXcFGNslEeF9WAdRHUALyKi2oAnuGjbwAALIygBgDAwghqAAAsjKAGAMDCCGoAACzMJ0H9ww8/aMiQIbrhhhvUsWNHjRs3Tjk5v54FmpaWpv79+ysiIkKxsbFavny5L0oEAMASvB7UhYWFGjZsmCIiIrRhwwa99dZbOnbsmB555BHl5uZq+PDhio+P15YtW5SYmKgZM2Zo+/bt3i4TAABL8HpQHzx4UM2bN9eoUaMUGBio4OBg3XrrrdqyZYvWrVunOnXqKCEhQQEBAWrfvr3i4uK0ZMkSb5cJAIAleP2CJ9ddd53mz5/vNuy9995TaGiodu7cKbvd7jauadOmSklJ8Xg9DofjouqEb9lsNl+XUKGUph8udp97Yx1wV5bHOZ6bslWW/eDTK5MZYzR79mx9/PHHWrx4sV599VUFBQW5TVOtWjXl5+d7vOwdO3acc3yVKlXUokWoAgL44ywLJSUOfffdtyouLr7oZQUFBalFixZlUBVOSU9PV0FBwTmniYyMvKh1nK/neF7LXmme19LguSl7ZdlzPgvqvLw8Pfzww/r222+1ePFihYSEKCgoSMePH3ebrrCwUDVq1PB4+WFhYed9tWKz2bjucBk4dd3h0NBQX5eCswgJCSn3dZSm51C2vPG84sKU5XPjk6DOzMzUnXfeqSuvvFIpKSmqW7euJMlut+vzzz93mzYjI0PNmjXzeB02m61UBw2uO1x2OEhblzeem9L2HMoO+9u6yvK58frJZLm5ubr99tvVpk0bLViwwBXSktStWzdlZWUpOTlZxcXF2rx5s9asWaO+fft6u0wAACzB6++oV65cqYMHD+rdd9/V2rVr3cZ9/fXXWrhwoRITEzVnzhzVrVtXkyZNUrt27bxdJgAAluD1oB4yZIiGDBly1vFhYWFaunSpFysCAMC6uIQoAAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYQQ1AAAWRlADAGBhBDUAABZGUAMAYGEENQAAFkZQAwBgYZYM6uzsbI0cOVJRUVGKjo5WYmKiSkpKfF0WAABeZ8mgHjt2rKpXr67169crJSVFmzZtUnJysq/LAgDA6ywX1Hv37tUXX3yhhx56SEFBQWrUqJFGjhypJUuW+Lo0AAC8LsDXBfzRzp07VadOHV1xxRWuYU2aNNHBgwf13//+V5dddtk55zfGSJKKiopks9nOOa3NZlOzBrUVaPO7+MIrsWvqXyaHwyGHw1Fmy+S5KRuePDc2m03+/v7y8/Nsn9Nz3kfPWVd59JyfOdVlFvHGG29o1qxZ+uSTT1zDMjMz1a1bN3366adq0KDBOecvKirSjh07yrlKoGIKDw8/b9j+ET0HXLjS9Jzl3lFXr15dBQUFbsNOPa5Ro8Z55w8ICFBYWNgFvTMAKjt/f8+/DaPngAtXmp6zXFA3a9ZMx44dU1ZWlurVqydJ2rVrlxo0aKBatWqdd35/f38FBgaWd5kA/oeeA8qX5U4ma9y4sSIjIzV9+nTl5eVp3759mjt3rvr16+fr0gAA8DrLfUctSVlZWZo6dapSU1Pl7++v+Ph4Pfjggx5/dwYAwKXOkkENAAB+ZbmPvgEAwG8IagAALIygBgDAwghqAAAsjKAuJyEhIUpNTfXqOvfv36+QkBDt37/fq+u9lMTGxiosLEwRERGKiIhQeHi4/v73v2v58uWuaSIiIrR161YfVokLRd9ZDz138Sx3wROgvE2ZMkV9+vSR9OvlLz/55BM9/PDDOnr0qIYPH66vv/7axxUCFQs9d3F4R+0DSUlJGjRokNuw2NhYrVy5UpI0aNAg/fOf/1RCQoIiIiL017/+Ve+8845r2n379unuu+9WZGSk2rdvr8cff1xFRUWu8WvWrNFf//pXhYeHa/Dgwfrll1+8s2GXoMDAQHXv3l3jx4/X888/r7y8PLd3ZbGxsXrxxRcVHx+viIgIxcfHa/PmzZJ+eye1fPlyxcbGKjIyUkOGDNGhQ4dcy9+4caP69eunqKgo9ezZU2+++aZr3IQJE3Tvvffqr3/9q9q1a6fMzEzvbnwlQ99ZAz3nOYLaopYtW6aJEycqNTVV3bt316OPPqqTJ0+qpKREd9xxh+rXr6/PPvtMb731lrZt26akpCTXvN9++62WLVumTz/9VLm5ufrXv/7lwy25NNx88806efKkvvrqq9PGrVixQs8995w2btyo5s2b6/HHH3cb/8knn2j16tV67733lJWVpblz50qSfvjhB40YMULDhw9XamqqnnjiCU2fPl3r1693zbt+/Xo999xzWrdunf785z+X6zbi/Og776HnSo+gtqgePXqoRYsWCgwM1C233KLjx48rOztbX331lQ4cOKBHHnlENWrU0OWXX67nn39e/fv3d8179913q1atWqpdu7ZuvPHGS+ZVoy8FBwdLko4dO3bauH79+umaa65RUFCQ4uLitGfPHrfxd955py677DLVq1dPsbGxrvFLly5Vly5d1L17d9lsNrVp00YDBgxwu7d6eHi47Hb7eW/fCu+g77yHnis9vqO2qPr167v+PyDg16fJ6XTqyJEjCg4OVlBQkGv81VdfLUmuk1nq1KnjGlelSpUyvWdtRZWTkyNJuvzyy08bd+rmMNKvz8UfL+Z3tvEHDhzQ5s2bFRUV5RrvcDjcXsX/6U9/KpsNQJmg77yHnis9gtoH/P39VVxc7HrsdDrP+KryTBo0aKCjR4+qoKDAddDYunWrvvnmG3Xt2rU8yq0UPvroI1WvXl2tW7cus2U2aNBAt9xyi6ZOneoadvjwYbeDDreF9B76zlroudLjo+9ylJOTo0OHDrn9KykpUZMmTZSenq6dO3eqpKRE8+fPV35+fqmW2apVKzVu3FhPPvmkCgoKlJWVpRkzZrhencIzRUVFeuedd/Tss8/qvvvuU82aNcts2f369dNbb72lDRs2yOl0as+ePbrtttu0cOHCMlsHTkffWRs95zneUZejsWPHnjbsnXfeUdeuXbVx40YNHjxYTqdT8fHxioyMLNUyq1SpohdeeEHTp0/XzTffrICAAMXFxenee+91O/MRZ/fYY4/piSeekCRVrVpV1113naZMmaK//e1vZbqe1q1b69lnn9Wzzz6rMWPGKCgoSL169dL9999fpuuBO/rOeui5i8PdswAAsDA++gYAwMIIagAALIygBgDAwghqAAAsjKAGAMDCCGoAACyMoAYAwMIIalyUkydPcsEHwIvoucqHoMZFGThwoDZu3KitW7cqIiLC1+UAFR49V/kQ1LgoR48elSRFRUXp66+/9nE1QMVHz1U+BDUu2NChQ3Xw4EE99thj6tWrl0JCQiT9etu/kJAQrV69WjExMQoPD9fDDz+srVu3qnfv3oqIiNDtt9/uuqGBMUavvvqqevTooaioKA0cOFDffPONLzcNsCR6rpIywEWIiYkxK1asMJs3bzZ2u90YY8y+ffuM3W43Y8eONfn5+SY9Pd1cf/31pnfv3ubQoUMmOzvbdOvWzSQlJRljjFm8eLG5+eabzffff2+KiorM8uXLTVRUlDly5IgvNw2wJHqu8uEdNcrN0KFDFRQUJLvdrvr16+uWW27RFVdcobp16yo8PFwHDhyQJC1ZskR33XWXmjdvripVqqhfv35q0qSJ3nzzTR9vAXBpoecqJm5ziXJTp04d1//bbDZddtllrsf+/v6um7kfOHBATz75pJ555hnX+JKSErVs2dJrtQIVAT1XMRHUKDd+fn6lmq5Bgwa699571bNnT9ewzMxMt4MOgPOj5yomPvrGRQkMDNTx48cvahkDBgzQvHnztGvXLknS+vXr1bNnT23ZsqUsSgQqFHqu8uEdNS5Kv379NGvWLLeP2Dw1ePBgGWM0cuRIHT58WFdccYUeffRRdenSpQwrBSoGeq7y8TOnvrQAAACWw0ffAABYGEENAICFEdQAAFgYQQ0AgIUR1AAAWBhBDQCAhRHUAABYGEENAICFEdQAAFgYQQ0AgIUR1AAAWNj/B48w/STJ4gdYAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lounas- ja päivällisseurueiden lukumäärät sukupuolen ja tupakoinnin mukaan\n",
    "sns.catplot(data=tips, x='time', col='sex', row='smoker', kind='count', height=2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## histplot\n",
    "\n",
    "Sopii määrällisen muuttujan luokitellun jakauman esittämiseen: https://seaborn.pydata.org/generated/seaborn.histplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=tips, x='total_bill')    # Laskun loppusummien jakauma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Itse määritellyt luokkarajat\n",
    "sns.histplot(data=tips, x='total_bill', bins=[0, 10, 20, 30, 40, 50, 60])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Määrällisten muuttujien histogrammit\n",
    "\n",
    "maaralliset = ['total_bill', 'tip', 'size']\n",
    "\n",
    "fig, axs = plt.subplots(1, 3, figsize=(12, 3))    # Kolmen kaavion kokoelma\n",
    "\n",
    "for i, muuttuja in enumerate(maaralliset):\n",
    "    sns.histplot(data=tips, x=muuttuja, ax=axs[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "histplot sopii käytettäväksi **displot**-funktion yhteydessä. Tällöin voin esittää useita histogrammeja kategoristen muuttujien määräämille ryhmille:\n",
    "https://seaborn.pydata.org/generated/seaborn.displot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x242651ff710>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Lvc45j4W00WjEjBkzcPz4cWRmZiI4OBi+vr64cuWKTbvy8nI0bNjQ4f4NBoOzSnU6mWtzFMciJ3tjCQsLc/s6PU32+pSqK+MA6tdY7nXOeSSkCwoK8MILL6Bly5bYtGkTAgICAAA6nQ779u2zaXvq1Cl06NDB4XWEhIS45GjhfpjNZhgMBilrcxTHIidPjkXW56+ubN+6Mg6AY3GE20O6tLQUY8aMQVRUFBYuXAi1+rd/i8fFxeG9995DRkYGRo8ejcOHD2Pbtm344IMPHF6PRqORduPLXJujOBY5eWIssj9/stenVF0ZB8CxKOH2kM7OzkZhYSF27tyJXbt22Tx25MgRrFmzBgsXLkRaWhoCAgIwa9YsREVFubtMIiIij3N7SI8dOxZjx4694+MhISH49NNP3VgRERGRnPixoERERJJiSBMREUmKIU1ERCQpj36YCRGRTCqqzNCq7R+7VFosaOBVN96VTHJjSBMR3aBVqzEqPcduu3XJvOKE3IOnu4mIiCTFkCYiIpIUQ5qIiEhSDGkiIiJJMaSJiIgkxZAmIiKSFEOaiIhIUgxpIiIiSTGkiYiIJMWQJiIikhRDmoiISFIMaSIiIkkxpImIiCTFkCYiIpIUQ5qIiEhSDGkiIiJJMaSJiIgkxZAmIiKSFEOaiIhIUgxpIiIiSTGkiYiIJMWQJiIikhRDmoiISFIMaSIiIkkxpImIiCTFkCYiIpKUR0O6uLgYcXFxyM3NtS6bO3cuunbtCr1eb/3asGGDB6skIiLyDC9Prfjw4cNITU1FQUGBzXKDwYC33noLgwcP9lBlREREcvDIkfSWLVswbdo0TJkyxWa5yWTCjz/+iK5du3qiLCIiIql45Ei6V69eiI+Ph5eXl01Q5+fno6qqCmlpaTh8+DAaNWqExMREJCcnQ6127PWE2Wx2dtn3rbomGWtzFMciJ6Vj0Wg0Llu3bBzavio1hLDfTCjtz4nq435aG7h6znkkpIOCgmpcfuXKFURERCApKQlLly7Fv/71L7z00ktQq9VITk52aB0Gg8EZpbqEzLU5imORk72xhIWFuX2dnqakvlC9HkajUUFvAkePHr3vmu6F7M+zI+rTWO51znnsf9I1iY6ORnR0tPXnbt26YcyYMdixY4fDIR0SEuKSo4X7YTabYTAYpKzNURyLnDw5FlmfP8eeExX8/PwU9KpCaGioE6pTjvupnFw9FqlC+u9//zuKioowcuRI6zKTyQQfHx+H+9JoNNJufJlrcxTHIidPjEX2509JfRaLgEplvy8VALWHxir78+wIjsU+qa6TFkJg0aJF2L9/P4QQOHLkCNauXYsRI0Z4ujQiIiK3k+pIOi4uDjNmzMC8efPw66+/IjAwEJMnT8agQYM8XRoREZHbeTykT5w4YfPzyJEjbU53ExER1VdSne4mIiKi3zCkiYiIJMWQJiIikhRDmoiISFJOC2lln9JDRERESjkc0hERETUu79u37/3WQkRERDdRdAnWL7/8gjlz5kAIAaPRiD/+8Y82jxuNRjRu3NglBRIREdVXikK6TZs2eOKJJ1BSUoLvv//+tqNpb29vxMbGuqRAIiKi+krxh5mMHj0aANCqVSskJCS4qh4iIiK6weFPHEtISEBeXh5++ukniFtuvMrwJiIich6HQ3rp0qVYtWoVgoKC4OX126+rVCqGNBERkRM5HNJbt27Fhx9+iD59+riiHiIiIrrB4Uuwrl69it69e7uiFiIiIrqJwyHdt29fbNu2zRW1EBER0U0cPt1dUVGB1NRUfPjhhwgMDLR5bO3atU4rjIiIqL5zOKR1Oh10Op0raiEiIqKbOBzSL7/8sivqICIiols4HNIzZsy442OLFi26r2KIiIjoN/d9F6ySkhLs3LkTDzzwgDPqISJSpKLKDItF2P2CSo3gTl08XS7RPXH4SLqmo+XvvvsO69atc0pBRERKaNVqjErPsdtOCGDdC5HXvyGqZZxyP+nHHnsMOTn2JwsREREp5/CR9K2qqqqwfft2BAQEOKMeIiIiusHhkO7YsSNUKpXNMo1Gg5kzZzqtKCIiIrqHkL71A0vUajXatGmDoKAgpxVFRERE9/A/6YiICISHh8PHxwdFRUUAgGbNmjm9MCIiovrO4SPpCxcuYOLEicjPz4e/vz9KSkrw8MMPY82aNWjRooUraiQiIqqXHD6Sfuedd/Dwww/jwIED2LdvH3Jzc9GpUyd+kAkREZGTOXwknZOTg127dqFhw4YAgEaNGmHevHno16+f04sjIiKqzxw+krZYLLe9u1ulUkGr1TqtKCIiIrqHkI6MjMS8efNw9epVAEBZWRnmzZuHiIgIpxdHRERUnzkc0ikpKcjLy0NERAR69eqFyMhInDx5EqmpqQ6vvLi4GHFxccjNzbUuO3bsGIYNGwa9Xo/Y2Fhs3LjR4X6JiIjqAof+Jy2EQFVVFb744gscOnQIFy9exNmzZ/H8889Do9E4tOLDhw8jNTUVBQUF1mWlpaUYP348XnnlFYwYMQIHDx7ESy+9hODgYHTr1s2h/omIiGo7xUfSV69exTPPPIN3330XXl5eiIqKQlRUFP76178iKSnJevpbiS1btmDatGmYMmWKzfIvv/wS/v7+GD16NLy8vNCzZ0/Ex8cjKytL+YiIiIjqCMVH0itWrIBWq8X8+fOty5o1a4avv/4akyZNwsqVK28L3Tvp1asX4uPj4eXlZfM7J0+ehE6ns2nbvn17bNq0SWmZVmaz2eHfcbXqmmSszVEci5yUjsXRM1+OrNttVGplN7a60UhRfQr7FEr7c6L6uJ/WBq6ec4pDevfu3Vi1atVtny7WrFkzzJ8/H6+99prikL7TR4iWlZXB19fXZpmPj49DR+nVDAaDw7/jLjLX5iiORU72xhIWFub2dTpbqF4Po9GouL2S+pT3KXD06FHF63am+rSf1iaumnOKQ/rixYto06ZNjY916tQJFy5cuKcCbubr64srV67YLCsvL7dek+2IkJAQlxwt3A+z2QyDwSBlbY7iWOTkybG4f50q+Pn52W9249BYWX0K+4QKoaGhCto5D/dTObl6LIpD2s/PDyUlJWjatOltj126dOm2I+B7odPpsG/fPptlp06dQocOHRzuS6PRSLvxZa7NURyLnDwxFnev02IRuOUjG2okcL2RkvqU9qkCoPbQvsL9VE6uGoviN4717Nnzjm/gWrdunVNeVcbFxaGoqAgZGRmorKxETk4Otm3bhsTExPvum4iIqLZRfCQ9YcIEDBkyBCUlJXjqqacQFBSE8+fPY+fOndi8eTMyMzPvu5imTZtizZo1WLhwIdLS0hAQEIBZs2YhKirqvvsmIiKqbRSH9COPPILVq1dj7ty5yMrKgkqlghACOp0Oq1atQteuXe+pgBMnTtj8HBISgk8//fSe+iIiIqpLHPowk0cffRTbtm3D6dOnUVxcjKCgILRs2dJVtREREdVrDt8FCwBat26N1q1bO7sWIiIiusk9hTTdrqLKDK3azvvwVGoEd+rinoKIiKjWY0g7iVatxqj0nLu2EQJY90IklH1MEhER1XcO3wWLiIiI3IMhTUREJCmGNBERkaQY0kRERJJiSBMREUmKIU1ERCQpXoJFROQiij4/AUClxYIGXnXjblDkXAxpIiIXUfL5CQCwLpk3EaKa8XQ3ERGRpBjSREREkmJIExERSYohTUREJCmGNBERkaQY0kRERJLiJVhEJBWl1xbzhq9UHzCkiUgqSq8tzuK1xVQP8HQ3ERGRpBjSREREkmJIExERSYohTUREJCmGNBERkaQY0kRERJJiSBMREUmK10kTkVvUpQ8pqbRYoFVwjFMbxkJyY0gTkVvUpQ8p8apDYyG58XQ3ERGRpKQM6R07dqBz587Q6/XWr5SUFE+XRURE5FZSnu42GAwYNGgQFi1a5OlSiIiIPEbKI2mDwYCuXbt6ugwiIiKPku5I2mKx4Pjx4/D19UV6ejrMZjP69OmDadOmoUmTJp4uj4iIyG2kC+ni4mJ07twZ/fv3R1paGkpKSjB9+nSkpKTgo48+UtyP2Wx2YZU1UKkh7F1vcaOB22tzgeoxcCxyUToWjUbjsnXfkZI5coNT2zky7zxUo4D9+urjflobuHrOSRfSgYGByMrKsv7s6+uLlJQUDB8+HEajEX5+for6MRgMriqxRqF6PYxGo6K27q7NlTgWOdkbS1hYmNvX6cgccXY7QNn29VyNAkePHlXUX33aT2sTV8056UI6Pz8f27dvx9SpU6FSqQAAJpMJarUa3t7eivsJCQlxydHCnansv4C48ZLa/bU5n9lshsFg4Fgk48mx2F+ngjlyg1PbOTTvPFQjVAgNDb1rC+6ncnL1WKQLaX9/f2RlZaFJkyYYO3Yszp8/j/feew+DBw92KKQ1Go1bN77FInDjNcUdCVxv4O7aXIljkZMnxmJvnUrmSDVntnNk3nmqRhUAtcLtxf1UTq4ai3Tv7m7RogVWrlyJPXv2ICIiAomJiQgJCcGcOXM8XRoREZFbSXckDQARERH49NNPPV0GERGRR0l3JE1ERETXMaSJiIgkxZAmIiKSlJT/kybXUHo/30qLBQ286sY7LokAoMoi4KVWw2K5+yeL8P7PJBuGdD2i9H6+63gPXKpjvNRqjFqVY/dyKN7/mWTD091ERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkmJIExERSYqXYLmZ0us1AaDSbIFWw+uaiei64E5dAJXCvx/8u1AnMKTdTOn1msD1azZ5XTMRVfP18Vb894N/F+oGnu4mIiKSFEOaiIhIUgxpIiIiSTGkiYiIJMWQJiIikhRDmoiISFK8BMsOpfdgro/3oVV6zSav1ySq/Xg/es9gSNuh9B7M9fE+tEqv2eT1mkS1H+9H7xk83U1ERCQphjQREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpHgJFhGRh1VaLNDaO2ZSOXZMpahP8Lrmu1F0bbhKff0zI1yEIU1E5GFeCq5BFgJY94Lya5CV9Anwuua7UXJt+PXtEnn9Gxfg6W4iIiJJSRnSFy9exIsvvojw8HBERkZi4cKFqKqq8nRZREREbiVlSL/22mt44IEH8M9//hObNm3C/v37kZGR4emyiIiI3Eq6kP7ll19w4MABpKSkwNfXF61bt8aLL76IrKwsT5dGRETkVtKF9MmTJ+Hv74/mzZtbl7Vr1w6FhYW4fPmyBysjIiJyL+ne3V1WVgZfX1+bZdU/X716FY0bN77r74sb77AzmUzQaJxwWYFKDa2duzwBgNlsVtBOwGw2w1slYPfWUYr7BKrMZqDKYr+hwrEo6c9sNkPj5aVoLIrr8xCz2QzAifuMBykdi0ajgVqthkrBfmiP4jnn1LmkvJ0j887Z63Zuu7r19wOoBXNO0ZivbxdzVZVL5pxKCBe9b/weffXVV5g1axZyc3Oty06cOIGBAwfi0KFDaNSo0V1/32QywWAwuLpMolovNDTUKX8gOeeIlLmXOSfdkXSHDh1w6dIlFBUVITAwEADw73//Gy1atLAb0ADg5eWFkJAQpx0lENVVansf0qAQ5xyRMvcy56Q7kgaAUaNGoUWLFliwYAFKSkowadIk9O/fH5MnT/Z0aURERG4jZUgXFRVhwYIFyM3NhVqtRkJCAqZNmyb3/y6IiIicTMqQJiIiIgkvwSIiIqLrGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkmJIExERSYohTUREJCmGNBERkaQY0kRERJJiSBMREUmKIU1ERCQphjQREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjS5FE///yzp0sgqjc432ofhrQHBQcHIzc319NlAACSkpLQp08flJSU2Cw/c+YMgoODcebMmXvqNzY29o5jzMrKwuzZs60/DxgwAJ9//vk9rceVli9fjqSkJLevNzU1FampqW5fb13F+VY75lt2djY6duwIvV4PvV6P7t27o2fPnpg6dSr+7//+z9ruww8/RHJysgcrdQ+GNFmdO3cO06dPhxDCLesrLi62+fmLL77AwIED3bJuIk/jfLuzli1b4siRIzhy5AiOHTuGTZs2obKyEiNHjrSOY+LEiUhPT/dwpa7HkK7B8uXL0adPH0RERCAxMRF79uwBAOTm5iI2Nhbp6emIjo5GWFgYli5dij179qB///7Q6/WYPHkyTCYTAKC8vBzvvvsu+vTpgx49eiApKQl5eXk1rjM7Oxs9evTAwYMHAQAFBQWYOHEiIiMjERMTg2XLlln7zc7OxpAhQzBu3DiEh4dj27Ztt/VX/Sr01q85c+bccdwJCQn4/vvv77rjl5SUYPbs2ejVqxciIyMxYcKEezqFtmXLFqxcuRKHDh1CeHg4gOtHAdnZ2QCuH2mkpaXhmWeeQWhoKAYOHIi8vDxMnToVjz76KGJjY7F3715rf8ePH0dSUhJ69OiBJ554AhkZGXf845ecnFzjczNgwACHxwHcfoSWnZ2N2NhYAL/tMytWrMAf/vAHREREYPLkyTAajdb2H3/8MeLi4qDX6zFkyBDs37/f+tjFixfxyiuvIDIyEr169UJmZuY91SgzzjfON3seeughLF26FGq1GhkZGQBsz3BlZ2fjmWeewZ/+9CdERUWhZ8+emDlzJiorKwFcPys1Z84cTJw4EXq9Hv369cPatWut/RuNRixYsAB9+vRBz549MWXKFBQVFQH47ezG4sWL0aNHD8yfP19x3U4hyMb+/ftFdHS0+PXXX4XFYhHr168XkZGRwmQyiZycHKHT6cTbb78tTCaT2Lt3r9DpdGLs2LHi0qVLoqCgQPTo0UNs2bJFCCHE9OnTRXx8vPj5559FRUWFyMjIEHq9Xpw9e1YIIYROpxM5OTnis88+E1FRUSIvL08IIURZWZmIiYkRS5YsEeXl5aKwsFAMHTpULFmyRAghxObNm4VOpxPZ2dmioqJCXLt27b7H/eyzz4q0tDSxa9cu0blzZ3H48GEhhBCnT58WOp1OnD592truj3/8ozh//ry4du2aWLx4sejTp4+4cuVKjf3GxMSInJycGh9LS0sTzz77rE3bzZs3W9fz2GOPiZMnT4qKigoxevRo0aVLF/HVV18Jk8kkFi9eLGJjY4UQQpw7d06EhYWJzMxMYTKZxMmTJ0VcXJxYv379fT8vNdV5q+rtWG3z5s0iJiZGCCGs+8zcuXPFtWvXxM8//yyio6PFypUrrW0jIiLE999/L8xms/jss89E9+7dRUlJiZg+fbro2rWr2Ldvn7BYLCI7O1sEBweLc+fOOWVcMuB843y71c3z51azZ88Ww4YNu2081dvogw8+ECaTSRw7dkyEhoaK7du3CyGu7xtdunQR3377raisrBTr168XnTp1ss6lyZMni3HjxomioiJhNBrFrFmzxIgRI4TFYrFuk1mzZomKigpRWlrqlHEqxSPpWzRo0AClpaX47LPP8MMPP2DYsGHYv38/tFqttc2ECROg1WrRq1cvAMAzzzyDJk2aoHXr1ujQoQPOnDmDiooKbN++HVOnTkWbNm3g7e2NMWPGoG3btti+fbu1r40bN2L27NlYuXIlQkJCAAB79+6FyWTC66+/jgYNGuDBBx/Eq6++iqysLOvvabVaDBo0CN7e3vDx8XHa+Pv3748RI0bg9ddfx6VLl2weO336NA4cOIDZs2cjKCgIPj4+mDZtGqqqqvDNN984rYaba2nfvj28vb0RHh6Otm3b4vHHH4dWq0Xv3r1x9uxZAMDnn3+Odu3aYfTo0dBqtWjfvj2ef/55m+fL01566SX4+PigTZs2iIyMxE8//QTg+hHOiBEjoNfroVarMWzYMKxZs8a6TaOjo/HYY49BpVJhwIABEELg9OnTnhyKU3G+cb45omnTprc9T9V8fHwwceJEaLVadOvWDcHBwdZ5BgCRkZGIjo6Gl5cXEhMTYTabUVBQgIsXL2L37t2YOXMmmjVrhoYNG+LNN9+EwWDA8ePHrb+fkJAAb29vNG7c2NXDtOHl1rXVAnq9HsuXL8cnn3yC9PR0+Pj4ICkpCZMmTbK2adq0KQBAo9EAgM1GU6vVEEKgtLQUlZWVaNWqlU3/rVq1snlTyPfff4/27dtj8+bN6NatGwDg7NmzKC4uRo8ePazthBCorKzExYsXAQBBQUFQq+/8Gqv6lNatnn76acybN++uz0FqaiqOHj2K1NRUzJw507q8+vRP69atrcs0Gg0efPBB6wR2Jn9/f5v1NGnSxPpz9fMMXH++jh8/bjNmi8Vi3T63mjBhAg4fPnzb8gcffLDGU5nOEBQUZP1eq9Vaa79w4QJatmxp0/bRRx+1fn/zc+Dt7Q0AMJvNLqnREzjfON8ccfHiRQQEBNT4WLNmzaBSqaw/3zzPgNvnYHXd1c/l8OHDbfrTaDQ4c+aM9Xn53e9+51CtzsKQvkVhYSGaNWuG1atXw2QyYf/+/Xj55ZfRpUsX+Pr6AoDNjnAngYGBaNCgAU6fPo127dpZlxcUFFj/XwkACxYsQEBAAIYPH45+/fqhd+/eaNGiBX7/+99j165d1nZGo9FmB7VXw6FDhxwa9828vb2xbNkyDBkyBP/93/9tXf7QQw9Zx9ChQwcA1wOjsLDQZgI4i5LnGQBatGiByMhIrF692rqspKQEZWVlNbZfuXKlU+qrplarrf/7ql63Ug8++KDNO1YBYNmyZdK+ocfZON8435SqrKzEt99+iyFDhjilv2rNmzcHAOzcudPmeT116hRat26NCxcuAFD+/DgbT3ffwmAwIDk5Gfn5+fD29kazZs0A/PZqXim1Wo3ExEQsXboUv/zyC0wmEz7++GOcOnXK5g0TWq0WnTt3xvjx4zFz5kyUlpYiJiYGZWVlSE9Ph8lkwuXLlzF9+nRMmTLFbTtKmzZt8NZbb9mcwvrd736HPn364E9/+hMuXLiA8vJyLFmyBGazGTExMQ6vo0GDBjAajff97tb4+HgcPXoUn3/+OaqqqnD+/HlMnDgRixcvvq9+b2YymXDu3Dmbr+rTbu3atcPu3btRVVWFgoICbNq0SXG/Q4YMwYYNG5CXlweLxYLNmzcjKyvL4f2ttuJ8u47z7e5Onz6NqVOnQqvVYsyYMU7tu3nz5ujbty8WLlyIkpISVFZWYsWKFRg6dCguX77s1HXdC4b0Lfr3749x48Zh0qRJCA0Nxauvvoo333wT3bt3d7ivN954A7169cJzzz2HyMhI7Ny5E6tXr8YjjzxyW9tJkyYhICAA8+fPh5+fHzIyMpCbm4vevXvj8ccfh1qtxooVK5wxRMWeeuopjBgxwmbZu+++i9atW2Pw4MF47LHHcOLECXz88cc2p8qUiomJwaVLlxAWFnZfk+Ghhx5Ceno6NmzYgMceewyDBg1C27ZtnfpH4+jRo+jTp4/NV/W7POfOnYvjx48jIiICr732GoYOHaq43/j4eEyePBkpKSkIDw/Hhg0bsGrVqjue0qtrON9+w/n2m8LCQuu7wB999FGMGTMGTZs2xfr1621OwzvLu+++i8aNGyMhIQFRUVH45ptvkJ6e7pIzFo5Sift9WUV0F7GxsVi0aBEiIyM9XQpRncf5VvfwSJqIiEhSDGkiIiJJ8XQ3ERGRpHgkTUREJCmGNBERkaQY0kRERJKqcyEthIDZbHbb7d+I6jvOOSLXqXMhbbFYcPToUVgsFk+XchuLxWL9ZKnajmORkyfGIvOcA+rO9q0r4wA4FkfUuZCWWfWH9teFIw6ORU51aSzOUleek7oyDoBjcQRDmoiISFIMaSIiIkkxpImIiCTFkCYiIpIUQ5qIiEhSDGkiIiJJMaSJiIgk5eXpAoiIZFFRZYZWbf/YpdJiQQMvjRsqovqOIU1EdINWrcao9By77dYlR7mhGiKe7iYiIpIWQ5qIiEhSDGkiIiJJMaSJiIgkxZAmIiKSFEOaiIhIUgxpIiIiSTGkiYiIJMWQJiIikhRDmoiISFIeCen8/HyMHTsWERERiI6OxhtvvIHi4mIAwLFjxzBs2DDo9XrExsZi48aNniiRiIjI49we0uXl5UhOToZer8e3336L7du349KlS3jzzTdRWlqK8ePHIyEhAQcPHsTChQuxaNEi5OXlubtMIiIij3N7SBcWFqJjx4546aWX4O3tjaZNm2LEiBE4ePAgvvzyS/j7+2P06NHw8vJCz549ER8fj6ysLHeXSURE5HFuvwtW27ZtkZ6ebrNs9+7d6NKlC06ePAmdTmfzWPv27bFp0yaH12M2m++rTleorknG2hzFschJ6Vg0GuffZlHW58+h7atSQwj7zYTS/pyoPu6ntYGr55xHb1UphMD777+Pr7/+GpmZmVi7di18fX1t2vj4+ODq1asO920wGJxVptPJXJujOBY52RtLWFiY29fpbMGdusDXx9tuO42XF4I7dVFUX6heD6PRqGDtAkePHlXQzvnq035am7hqznkspI1GI2bMmIHjx48jMzMTwcHB8PX1xZUrV2zalZeXo2HDhg73HxIS4pKjhfthNpthMBikrM1RHIucPDkWt69TpcaoVfbv/QwhsG58lML6VPDz81OycoSGhipo5zzcT+Xk6rF4JKQLCgrwwgsvoGXLlti0aRMCAgIAADqdDvv27bNpe+rUKXTo0MHhdWg0Gmk3vsy1OYpjkZMnxuLudVosAiqV/XYC1xspqU9pnyoAag/tK9xP5eSqsbj9jWOlpaUYM2YMHn30Uaxevdoa0AAQFxeHoqIiZGRkoLKyEjk5Odi2bRsSExPdXSYREZHHuf1IOjs7G4WFhdi5cyd27dpl89iRI0ewZs0aLFy4EGlpaQgICMCsWbMQFRXl7jKJiIg8zu0hPXbsWIwdO/aOj4eEhODTTz91Y0VERERy4seCEhERSYohTUREJCmGNBERkaQY0kRERJJiSBMREUmKIU1ERCQphjQREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkmJIExERSYohTUREJCmGNBERkaQY0kRERJJiSBMREUmKIU1ERCQphjQREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkmJIExERSYohTUREJCmGNBERkaQY0kRERJJiSBMREUmKIU1ERCQpj4Z0cXEx4uLikJuba102d+5cdO3aFXq93vq1YcMGD1ZJRETkGV6eWvHhw4eRmpqKgoICm+UGgwFvvfUWBg8e7KHKiIiI5OCRI+ktW7Zg2rRpmDJlis1yk8mEH3/8EV27dvVEWURERFLxyJF0r169EB8fDy8vL5ugzs/PR1VVFdLS0nD48GE0atQIiYmJSE5Ohlrt2OsJs9ns7LLvW3VNMtbmKI5FTkrHotFoXLZut1GpIYSCdjcaKapPYZ9CaX9OVB/309rA1XPOIyEdFBRU4/IrV64gIiICSUlJWLp0Kf71r3/hpZdeglqtRnJyskPrMBgMzijVJWSuzVEci5zsjSUsLMzt63S2UL0eRqNRcXsl9SnvU+Do0aOK1+1M9Wk/rU1cNec89j/pmkRHRyM6Otr6c7du3TBmzBjs2LHD4ZAOCQlxydHC/TCbzTAYDFLW5iiORU6eHIv716mCn5+f/WY3Do2V1aewT6gQGhqqoJ3zcD+Vk6vHIlVI//3vf0dRURFGjhxpXWYymeDj4+NwXxqNRtqNL3NtjuJY5OSJsbh7nRaLgEplv53A9UZK6lPapwqA2kP7CvdTOblqLFJdJy2EwKJFi7B//34IIXDkyBGsXbsWI0aM8HRpREREbifVkXRcXBxmzJiBefPm4ddff0VgYCAmT56MQYMGebo0IiIit/N4SJ84ccLm55EjR9qc7iYiIqqvpDrdTURERL9hSBMREUmKIU1ERCQphjQREZGkGNJERESSclpIO/LxfERERGSfwyEdERFR4/K+ffveby1ERER0E0XXSf/yyy+YM2cOhBAwGo344x//aPO40WhE48aNXVIgERFRfaUopNu0aYMnnngCJSUl+P777287mvb29kZsbKxLCiQiIqqvFH/i2OjRowEArVq1QkJCgqvqISIiohsc/ljQhIQE5OXl4aeffoK45e7oDG8iIiLncTikly5dilWrViEoKAheXr/9ukqlYkgTERE5kcMhvXXrVnz44Yfo06ePK+ohIiKiGxy+BOvq1avo3bu3K2ohIiKimzgc0n379sW2bdtcUQsRERHdxOHT3RUVFUhNTcWHH36IwMBAm8fWrl3rtMKIiIjqO4dDWqfTQafTuaIWIiIiuonDIf3yyy+7og4iIiK6hcMhPWPGjDs+tmjRovsqhoiIiH5z33fBKikpwc6dO/HAAw84o55aq6LKDItF3PULKjWCO3XxdKlE9U7Vjflnb44K+10BACotFrt9WSwCFVVml46L6j6Hj6RrOlr+7rvvsG7dOqcUVFtp1WqMSs+5axshgHUvRF7/hojcxkutxqhVOVCp7t4uKzlKeX925jsArFPYH9GdOOV+0o899hhycuzvsERERKScw0fSt6qqqsL27dsREBDgjHqIiIjoBodDumPHjlDdcs5Io9Fg5syZTiuKiIiI7iGkb/3AErVajTZt2iAoKMhpRREREdE9/E86IiIC4eHh8PHxQVFREQCgWbNmTi+MiIiovnP4SPrChQuYOHEi8vPz4e/vj5KSEjz88MNYs2YNWrRo4YoaiYiI6iWHj6TfeecdPPzwwzhw4AD27duH3NxcdOrUiR9kQkRE5GQOH0nn5ORg165daNiwIQCgUaNGmDdvHvr16+f04oiIiOozh4+kLRbLbe/uVqlU0Gq1TiuKiIiI7iGkIyMjMW/ePFy9ehUAUFZWhnnz5iEiIsLhlRcXFyMuLg65ubnWZceOHcOwYcOg1+sRGxuLjRs3OtwvERFRXeBwSKekpCAvLw8RERHo1asXIiMjcfLkSaSmpjrUz+HDhzFixAgUFBRYl5WWlmL8+PFISEjAwYMHsXDhQixatAh5eXmOlklERFTrOfQ/aSEEqqqq8MUXX+DQoUO4ePEizp49i+effx4ajUZxP1u2bEFaWhpSUlIwZcoU6/Ivv/wS/v7+GD16NACgZ8+eiI+PR1ZWFrp16+ZIqURERLWe4iPpq1ev4plnnsG7774LLy8vREVFISoqCn/961+RlJRkPf2tRK9evfDVV1/hqaeesll+8uRJ6HQ6m2Xt27dHfn6+4r6JiIjqCsVH0itWrIBWq8X8+fOty5o1a4avv/4akyZNwsqVK22Oiu/mTp9OVlZWBl9fX5tlPj4+Dr0AqGY2u/kWcSq1/Ztb3Wjg9tpcoHoMHItclI7FkTNfjq7bbZTMOeC3u84JAQE7t8GC8pvUKWkn4LznpT7up7WBq+ec4pDevXs3Vq1addunizVr1gzz58/Ha6+9pjik78TX1xdXrlyxWVZeXm693MsRBoPhvmpxVKheD6PRqKitu2tzJY5FTvbGEhYW5vZ1KhXcqQt8fbwVtVU65wDAWFbm1D6VtRM4evSoov6Uqk/7aW3iqjmnOKQvXryINm3a1PhYp06dcOHChXsq4GY6nQ779u2zWXbq1Cl06NDB4b5CQkJccrRwZyr4+fndvcmNl97ur835zGYzDAYDxyIZT47FaetUXb/3sz3rXoiyP+cA67zza9gQdm8oDSjrU3E7FUJDQxX1Zw/3Uzm5eiyKQ9rPzw8lJSVo2rTpbY9dunTpttPU9yIuLg7vvfceMjIyMHr0aBw+fBjbtm3DBx984HBfGo3GrRvfYhF253/1qTZ31+ZKHIucPDEWZ61TyVyqpqSd9RS3SqWovTPXrQKgdvJ24H4qJ1eNRfEbx3r27ImsrKwaH1u3bp1TXi02bdoUa9aswa5duxAZGYlZs2Zh1qxZiIqKuu++iYiIahvFR9ITJkzAkCFDUFJSgqeeegpBQUE4f/48du7cic2bNyMzM/OeCjhx4oTNzyEhIfj000/vqS8iIqK6RHFIP/LII1i9ejXmzp2LrKwsqFQqCCGg0+mwatUqdO3a1ZV1EhER1TsOfZjJo48+im3btuH06dMoLi5GUFAQWrZs6araiIiI6jWH74IFAK1bt0br1q2dXQsRERHd5J5Cuj6pqDJDq7b//jqFn39ARESkGEPaDq1ajVHp9q/ZzErmO9CJiMi5HL4LFhEREbkHQ5qIiEhSDGkiIiJJMaSJiIgkxZAmIiKSFEOaiIhIUrwEi4iolgju1AVQqWGx2P9khkqLBQ286sYdpuozhjQRUS3h6+ONUatyFN0mcx0/u6FO4OluIiIiSTGkiYiIJMWQJiIikhRDmoiISFIMaSIiIkkxpImIiCTFS7CIyC14b3YixzGkicgteG92IsfxdDcREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkuIlWG5WZRHwUvN+sET1QaXFAq2CYyHOdboThrSbeanVvB8sUT3hpfDacM51uhOe7iYiIpIUQ5qIiEhSUob0jh070LlzZ+j1eutXSkqKp8siIiJyKyn/J20wGDBo0CAsWrTI06UQERF5jJRH0gaDAV27dvV0GURERB4l3ZG0xWLB8ePH4evri/T0dJjNZvTp0wfTpk1DkyZNFPdjNpudU5BKDaHw3nl221U3EAIC9t/eLeDEcThZdV2y1ueI+jgWjcb5l/vYff6cOZccaefovPNAjUrmutlshsbLi38/JOPqOSddSBcXF6Nz587o378/0tLSUFJSgunTpyMlJQUfffSR4n4MBoNT6gnV62E0GhW1VdyurExRuyqLBV5q+5PxWrkJJ/51XFGfzuas51kG9WksYWFhbl+nS+aSwnaA8nnnmRoFjh49ardVqF6veBxK+/Qkzjn7pAvpwMBAZGVlWX/29fVFSkoKhg8fDqPRCD8/P0X9hISEOOloQaV4nXbb3XhJ7dewIZRcKF19TbU9616IQmhoqJISncZsNsNgMDjxefYcjsU57K/TiXPJkXYOzjuP1AiV3TlcfaSmdBxK+vQUzjnlpAvp/Px8bN++HVOnToXqxo5oMpmgVqvh7e2tuB+NRuOUJ8xiEcrmA+zPG+spKpXKaX0CgAqA2kM7urOeZxlwLK5dpzPnkiPtHJ13nqjRoTmsdByO9OkhnHP2SffGMX9/f2RlZSE9PR1VVVUoLCzEe++9h8GDBzsU0kRERLWddCHdokULrFy5Env27EFERAQSExMREhKCOXPmeLo0IiIit5LudDcARERE4NNPP/V0GURERB4l3ZE0ERERXceQJiIikpSUp7vdoaLKDK3a/msUhZ9XQERE5HT1NqS1Cu/zmsX7vBIRkYfwdDcREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkqq3l2DVR0qvDa+0WNDAy/7dXII7dQFUalgsd7+aXGl/RPVVpcUCrb1jJhWPqeojhnQ9ovTa8HUKrw339fHGqFU5dm+bp7Q/ovrKS8HcFOL6veOpfuFLMyIiIkkxpImIiCTFkCYiIpIUQ5qIiEhSDGkiIiJJMaSJiIgkxUuwiIjqIEXXXoOfYyA7hjQRUR2k5NprgJ9jIDue7iYiIpIUQ5qIiEhSDGkiIiJJMaSJiIgkxZAmIiKSFEOaiIhIUrwEqw5Qej3k3e/67DpK66tuq+SaTWffG5uovlJ8PbXZAq2mbtyPvjb9/WBI1wFKr4fM8tD1kErrA5Rfs+nse2MT1VeO/P2oK/ejr01/P3i6m4iISFIMaSIiIklJGdIXL17Eiy++iPDwcERGRmLhwoWoqqrydFlERERuJWVIv/baa3jggQfwz3/+E5s2bcL+/fuRkZHh6bKIiIjcSrqQ/uWXX3DgwAGkpKTA19cXrVu3xosvvoisrCxPl0ZERORW0r27++TJk/D390fz5s2ty9q1a4fCwkJcvnwZjRs3vuvvC3H97fwmkwkazV3eOq9SQ2vnXYUAYDabndhOwGw2w1slYPctjU5ft/J2VWYzUGWx25fGy0vRWJSuV+m6ASjefkrHAijYZ2oBpWPRaDRQq9VQKdgP7ZF7zgGOzDtPzTn+/bi//hzmgb8f9zrnVKJ6hkli69atWLZsGfbu3WtdVlBQgLi4OHzzzTdo0aLFXX/fZDLBYDC4uEqi2i80NNQpL0o454iUuZc5J92R9AMPPIBr167ZLKv+uWHDhnZ/38vLCyEhIU47SiCqq9QKPsxBCc45ImXuZc5JF9IdOnTApUuXUFRUhMDAQADAv//9b7Ro0QKNGjWy+/tqtRre3t6uLpOIbuCcI3Id6d449vDDDyMsLAxvv/02jEYjTp8+jQ8++ABDhw71dGlERERuJd3/pAGgqKgICxYsQG5uLtRqNRISEjBt2rRa/6YeIiIiR0gZ0kRERCTh6W4iIiK6jiFNREQkKYY0ERGRpBjSREREkmJIO1l+fj7Gjh2LiIgIREdH44033kBxcXGNbZOTkxESEgK9Xm/9+sc//uHmiu9sx44d6Ny5s019KSkpNbb95ptvEB8fj9DQUDz55JP4+uuv3VztnX3++ec2Y9Dr9ejatSu6du1aY3tZt0txcTHi4uKQm5trXXbs2DEMGzYMer0esbGx2Lhx4137WLVqFXr37o3Q0FAkJSXhP//5j6vLdjnOOc45V5FizglymmvXrono6Gjxl7/8RVRUVIji4mLxwgsviAkTJtTYPjIyUuTm5rq5SuUWL14sUlNT7bb76aefREhIiPjqq69EZWWl+OKLL0S3bt3EuXPn3FCl486dOyeio6PF3/72txofl3G7HDp0SDz++ONCp9OJnJwcIYQQly5dEhERESIzM1NUVlaK7777Tuj1enHs2LEa+8jOzhZ/+MMfxI8//ijKy8vFokWLxIABA4TFYnHnUJyKc45zzlVkmXM8knaiwsJCdOzYES+99BK8vb3RtGlTjBgxAgcPHryt7enTp1FaWorOnTt7oFJlDAbDHV/53mzLli0IDw/H448/Di8vLzz11FPo0aMHNmzY4IYqHSOEQEpKCvr27YtBgwbd9riM22XLli2YNm0apkyZYrP8yy+/hL+/P0aPHg0vLy/07NkT8fHxd7xj3GeffYZRo0ahQ4cOaNCgAaZOnYrCwkKbo4TahnOOc84VZJpzDGknatu2LdLT020+dGX37t3o0qXLbW0NBgMaNmyIKVOmICoqCk8//TQ2bdrkznLvymKx4Pjx49i7dy9iYmLQu3dvzJ49G6Wlpbe1PXXqFHQ6nc2y9u3bIz8/313lKrZ161acOnUKqampNT4u43bp1asXvvrqKzz11FM2y0+ePOnQ837rdtJqtXj44Yel3E5Kcc79hnPOeWSac9J9dnddIYTA+++/j6+//hqZmZm3PW4ymRAaGoopU6agQ4cOyM3NxeTJk9GwYUM8+eSTHqjYVnFxMTp37oz+/fsjLS0NJSUlmD59OlJSUvDRRx/ZtC0rK4Ovr6/NMh8fH1y9etWdJdtlsViwYsUKTJw4EX5+fjW2kXG7BAUF1bjc0ee9tmyne8U5J9+25Jy7/+3EkHYBo9GIGTNm4Pjx48jMzERwcPBtbRISEpCQkGD9uVevXkhISMDOnTul+IMRGBhocwrH19cXKSkpGD58OIxGo82E8/X1RXl5uc3vl5eXK7prmTvl5ubi/Pnzd/0ceNm3y818fX1x5coVm2V3e95ry3a6F5xzcm5Lzrn730483e1kBQUFSExMhNFoxKZNm2r8YwEAmzZtws6dO22WmUwmNGjQwB1l2pWfn48lS5ZA3PSpsSaTqcY7Hul0Opw8edJm2alTp9ChQwe31KrU7t27ERcXhwceeOCObWTfLjdz9Hnv0KGDTfvKykr8/PPPt52+q204567jnHM9T8w5hrQTlZaWYsyYMXj00UexevVqBAQE3LGt0WjEW2+9hR9++AEWiwV79+7F9u3bMWLECDdWfGf+/v7IyspCeno6qqqqUFhYiPfeew+DBw++7Q/GwIEDceDAAezYsQNVVVXYsWMHDhw4UOObRDzp8OHD6NGjx13byL5dbhYXF4eioiJkZGSgsrISOTk52LZtGxITE2tsn5iYiMzMTOTn56OiogJ//vOfERgYiPDwcDdX7jycc5xz7uSROXef71Knm6xZs0bodDrRvXt3ERoaavMlhBChoaFi69atQgghLBaL+K//+i8RExMjunXrJgYMGCB27tzpyfJvk5ubK0aMGCH0er2IiooSb731ligvLxdC2I5FCCH+8Y9/iIEDB4rQ0FAxYMAAsXfvXk+VfUehoaE11lWbtsvNl4MIIUReXp51G/Xr109s3rzZ+tjBgwdFaGioOHv2rBDi+thWr14tYmNjRWhoqEhKShL/+c9/3D4GZ+Kc45xzNU/POd4Fi4iISFI83U1ERCQphjQREZGkGNJERESSYkgTERFJiiFNREQkKYY0ERGRpBjSREREkmJIk9NUVFTg3Llzni6DqN7gnKv7GNLkNKNGjcJ3332HQ4cOQa/Xe7ocojqPc67uY0iT05SUlAAAwsPDceTIEQ9XQ1T3cc7VfQxpcopx48ahsLAQc+fOxdNPP229E9GZM2cQHByMTz75BNHR0QgLC0NKSgqMRqOHKyaq3Tjn6geGNDnFmjVr0LJlS8yfPx+zZ8++7fEvv/wS27Ztw65du/DLL79g/vz5HqiSqO7gnKsfGNLkFjNmzEBAQACCgoLwyiuvYNeuXTCZTJ4ui6jO4pyrGxjS5BZt2rSxfv/ggw/CZDLh0qVLniuIqI7jnKsbGNLkFr/++qv1+zNnzsDX1xdNmzb1YEVEdRvnXN3AkCan8fb2xpUrV2p87M9//jOMRiN+/fVXpKWlYdCgQdBqtW6ukKhu4Zyr+7w8XQDVHUOHDsWyZcvQuHHj2x77/e9/j6effhrXrl1DfHw8UlJSPFAhUd3COVf3qYQQwtNFUN115swZ9OvXD3v27EGrVq08XQ5Rncc5V7fwdDcREZGkGNJERESS4uluIiIiSfFImoiISFIMaSIiIkkxpImIiCTFkCYiIpIUQ5qIiEhSDGkiIiJJMaSJiIgkxZAmIiKSFEOaiIhIUv8P226R4teOR8IAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# tipin jakaumat tupakoinnin ja ajan mukaan\n",
    "sns.displot(data=tips, x='tip', row='smoker', col='time', kind='hist', height=2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## barplot\n",
    "\n",
    "Sopii keskiarvojen esittämiseen. Musta viiva havainnoillistaa virhemarginaalin (luottamusväli): https://seaborn.pydata.org/generated/seaborn.barplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri päivien tippien keskiarvot\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.barplot(data=tips, x='day', y='tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2426568bad0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri päivien tippien keskiarvot sukupuolen mukaan\n",
    "sns.barplot(data=tips, x='day', y='tip', hue='sex')\n",
    "plt.legend(ncol=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "barplot sopii käytettäväksi **catplot**-funktion yhteydessä (**kind='bar'**). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.catplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x242656d4fd0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 600x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri päivien tippien keskiarvot tupakoinnin mukaan\n",
    "sns.catplot(data=tips, x='day', y='tip', col='smoker', kind='bar', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## boxplot\n",
    "\n",
    "Havainnollistaa viiden luvun yhteenvedon (pienin, alaneljännes, mediaani, yläneljännes, suurin). Muista selvästi poikkeavat havainnot esitetään erillisinä pisteinä. Lue lisää: https://seaborn.pydata.org/generated/seaborn.boxplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='tip'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yyy9atmyZ3n33Xe3du1ePPfaY06M1KxgMqmPHjpoxY4Y2b96slStX6ueff9aLL77o9GhH1K1bN3m9hx+eYv/+/YftKDp27Kja2toWfZ02FXxNTY0mT56sFStWaPHixerbt6/TIx3TwoULlZCQoAkTJjg9Sos0/V71tGnTlJycrK5du+rBBx/UJ598ov379zs83bGtW7dOa9as0Y033qiEhASdddZZmjRpkpYsWeL0aMclKSlJdXV1Edvq6up00kkntWi9qI540xrs2rVLd911l9LT0/XOO++oS5cuTo/UrOXLl+u3337T0KFDJSl8x73//vtt4g28Pn36KBgMqqGhQYmJiZL+3nNKzR9ZxWl79uw57B15r9erDh06ODRRy2RkZOizzz6L2PbTTz/prLPOatF6bWIPX11drVtuuUWDBw/WokWL2kTskrR69Wp9/fXXKikpUUlJiXJzc5Wbm9smYpekCy64QKeddpqefPJJ7d+/XxUVFZo3b54uueQSJScnOz3eMY0YMUK///678vPzFQgE9Ouvv+qVV17RmDFjnB7tuIwaNUp//PGH3njjDTU0NGjjxo1asWKFrrnmmhat1yaCX7p0qfx+v9577z0NGTJEgwYNCv9B/HTo0EEFBQXyeDwaPXq0Ro8ere7du+vZZ591erRm9enTRwsXLtSHH36orKws3XzzzRo5cuRh74K3dj6fT6+//rpWr16trKwsTZ8+XdOnT9ewYcNatB5HvAEMaRN7eACxQfCAIQQPGELwgCEEDxhC8IAhBA8YQvDt3MGDB1VeXu70GGglCL6du/HGG/X555+rpKSETyaC4Nu7yspKSdLQoUP1zTffODwNnEbw7djtt98uv9+vmTNnKjc3N/zrxLt371bfvn1VUFCg4cOHa8iQIZo6dapqamocnhjxRvDt2Ouvv6709HTNmjXriMehW7t2rVasWKHVq1dr586dmjVrlgNT4kQieMOeeOIJdenSRd26ddPkyZO1evXqVn9UV/w7BG9Yz549w//u0aOH6uvrVVVV5dxAiDuCN2zv3r3hf+/evVtJSUny+XwOToR4I/h2LiEhQX/99dcRT8vLy1NNTY327t2rF198UWPHjm1zh4DC8Wkzx7RDy1x77bWaN2+eUlJSDjvt9NNPV25urg4cOKAxY8Zo6tSpDkyIE4kj3hi0e/duXXzxxfrggw906qmnOj0OTiCe0gOGEDxgCE/pAUPYwwOGEDxgCMEDhhA8YAjBA4YQPGAIwQOGEDxgyP8BJSErDieX15QAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tipin suuruuden jakauma tunnuslukuina\n",
    "plt.figure(figsize=(3, 3))\n",
    "sns.boxplot(data=tips, x='tip', showmeans=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time', ylabel='tip'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tipin suuruus lounas- ja päivällisseurueille\n",
    "plt.figure(figsize=(3, 3))\n",
    "sns.boxplot(data=tips, x='time', y='tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sex', ylabel='tip'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot() usealle muuttujalle (total_bill ja tip) sukupuolen mukaan\n",
    "\n",
    "# Kahden kaavion kokoelma\n",
    "fig, axs = plt.subplots(1, 2, figsize=(8, 3))\n",
    "\n",
    "sns.boxplot(data=tips, x='sex', y='total_bill', ax=axs[0])\n",
    "sns.boxplot(data=tips, x='sex', y='tip', ax=axs[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "boxplot sopii käytettäväksi **catplot**-funktion yhteydessä (**kind='box'**). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.catplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x242668a6bd0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumma seurueen koon ja ajan mukaan\n",
    "sns.catplot(data=tips, x='size', y='total_bill', col='time', kind='box', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>scatterplot</h2>\n",
    "\n",
    "Havainnollistaa kahden määrällisen muuttujan välisen riippuvuuden: https://seaborn.pydata.org/generated/seaborn.scatterplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(3, 3))\n",
    "sns.scatterplot(data=tips, x='total_bill', y='tip', hue='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "scatterplot sopii käytettäväksi **relplot**-funktion yhteydessä (**kind='scatter'**). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.relplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2426679a610>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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HGzdu9Lt21yXX0PT8vf3gG9fgb6+fL7xmJ8Pf2w9yDb7idLiG04XPBZiHDh2qt2Jcr9djMBiO6zw6nc4v31z+2u665Bqanr+3H5r2Gvz19fPXdlfz9/aDXIOvOB2uwd/53CKfQYMGkZuby9tvv43D4eDAgQO89dZbjB07tqmbJoQQQgghjoHPBZitW7fmnXfe4ffff6dv375cddVVDB8+nLvvvrupmyaEEEKcPpxOKD0ExRlQUdDUrRGnGZ8bIgcYMGAAAwYMaOpmCCGEEKen0mzYNB+WvQZl2ZDYHe3ZTxMdGt7ULROnCZ/rwRRCCCFEI6oogB8fgJ8egtIsUBTIWIPmw3NJtO1r6taJ04QEmEIIIcSZpDQLNn/ldpfhl4fQlOec4gaJ05EEmEIIIcSZJONfz/sK96GxlJ66tojTlgSYQgghxJkkIMzzPo0GdD65PEP4GQkwhRBCiDNJQlfQGd3uUlqOQAmIPMUNEqcjCTCFEEKIM4k5DsZ/CJojQoDQRCwjn0IxhTRNu8RpRfrBhRBCiDOJIQBaj4BbV8HWb6FwL7QahpLUix3phXSKbeoGitOBBJhCCCHEmcYQCNGtYXBtEROnw4HNJivIhXfIELkQQgghhPAqCTCFEEIIIYRXSYAphBBCCCG8SgJMIYQQQgjhVRJgCiGEEEIIr5IAUwghhBBCeJUEmEIIIYQQwqskwBRCCCGEEF4lAaYQQggh/IPT2dQtEMdIKvkI0ZhKs8FhBZ1Brf+r0TR1i4QQwr8oChSlw85fYN8SiGkPaRMgLFkteyl8kgSYQjSGinzYvRh+fxIK90FoEgx5ANqfB8ExTd06IYTwHzlb4cNzoaro8Iav4a8X4bLPoeVQ0BubsHHCExkiF8LbbBZYOwfmX6cGlwAlGfDtHbDsDbCUNWnzhBDCb5TnwVc31gkuD3M6YN41UJbVJM0SRycBphDeVp4Nfzzjft8/M6A899S2Rwgh/FVFPmRtdL/PWlb7JV74HAkwhfC2inywVbrf57TLN24hvMxqd2J3NN7iD4dTwWJzNNr5RQOc9ob3WytOTTvEcZM5mEJ4m87U8H5D0KlphxCnuaziSv7dX8T8NQcJMuqY3C+V1rFmosxH+Rs8RmVVNg4UVjJn+X4OFlZyVtsYRnWMo1lEIBpZsHdqBISDORbKcurv02ghpu0pb5I4NhJgCuFtQdEQ3QbydtbfF5Igi3yE8IJDxZVc8+EqtmWV1mxbtOEQ43ok8fB5HU46yKyw2vlu4yEemF87PPvHjlxe+20n827qT5u4kJM6vzhGIQlw3osw96r6+/rfpt5vhU+SIXIhvC0kFiZ8DIERrtuNZrjsU/WGKYQ4YQ6Hk3mrD7oEl9Xmr8lgd+7JL6TLLbXw8Feb6m0vrrTxn4UbKaqwnvRziGOg1UKr4XDNj5DcD4zBapqice/DwDshILSpWyg8kB5MIRpDbEeYugQOrICD/0J8GjQfBGHNJBemECcpr9zKZyvTPe6fsyKdnqkR6LQn3oey4WAxDqfidt+KvYUUVdgID5L0OKeEKQRS+8Pln4Ot4nBe4dimbpU4CgkwhWgMGg2Ep6g/aROaujVCnFYUBawNLOqptDpwKqA7ieew2Bte1ONQ3AefohEFRQARRz1M+AYZIhdCCOFXIoINnNM53uP+CT2bYdCd3Mdbt2TPgUyrGDNhAYaTOr8QpzsJMIUQQvgVk17HDYNbEh5UP8jrnBhKWnL4ST9HTIiJyf1S623XaTU8c0lnokO8s1JdiNOVDJELIYTwOymRQXxz60DeX7qXHzZlYTJomdwvlQu6JhEfevL1qcMCDdw1sg39WkbyxuLd5JRW0SMlgrtHtaVFdLAXrkCI05sEmEIIIfyORqMhJSqYR8Z05JZhrdFoIDrYhFbrvUV0UWYTY7ok0q9lFHaHQnCADrNJhsaFOBYSYAohhPBbRr2WOC/0WDbEW4nbhTiTSIAphBBCnEoOG5Tnqf8dFAV6SXckTj8+GWAWFRXxzDPP8Oeff+J0Ounduzf/+9//iI2VvFdCCCH8WFE6rHwP1n+m/jttAvS9CSLqLygSwp/55Cry22+/nYqKCn755RcWL16MTqfj0UcfbepmCSGEONNZK6FwH2RthIK9YC0/9scWH4QPz4Nlr0N5rvqz/E34YLQaeApxnNq1a8eKFSuauhlu+VwP5qZNm1i/fj3Lli3DbDYD8OSTT5Kbm9vELRNNym4BrUEtGyaEEE2hNBv+ehH+/QgcVtDq1R7IEf+F4KOMsCkKbPkaig+4Oe8h2DhPLX2oPZn08EL4Dp8LMDds2EDr1q2ZO3cun332GZWVlQwePJgHHnjguM7jcDRchcHXVLfX39pdl9evQVHQlmbAtu/Q7P0DJbw59JyCEpaMYgjyznMcwd9/D/7efvDONeh0J/ch7W+vn7//3v2h/RpbOZrFT6NZ83HtRqcd1n+GUlWCMnYG4PkaNFXFaDfN8/wEmxfg7D4ZJTDSm80+Lv7wezgaX7h/VJsxYwbz5s2jsrKS5ORkbrnlFsxmMw899BBXXHEFH374IVVVVUyaNImuXbvy/PPPk5OTw6BBg3jppZcwGo1UVVXx+uuv891331FRUUH79u25//776dKlS73nW7BgAc8++yxvvvkmvXv3Jj09nWeeeYa1a9cSFBTEBRdcwK233orRaGTBggXMnj2b8PBwNmzYwH//+1/Gjh3rleuu5nMBZnFxMdu3b6dz58589dVXVFVVMW3aNB544AHeeeedYz7Pxo0bG7GVjcdf212XN65Br9fTPkqDafZYqCoCQAOw6l3sY98kPbgbRWWVJ/08nvj778Hf2w8ndw09e/ZssuduSv7a7mq+3P6OCYEErpvtdp9m+3fYz3oY8HwN8RFmkhr6YqwPIDs3j8yCph8q9+Xfw7FqyvsHwPLly/niiy9YsGABMTExfPHFFzzyyCO89NJLZGRkkJubyx9//MGyZcu48cYbGThwIHPnzqWkpIRx48bx/fffc9FFF/G///2PLVu28Mknn5CQkMBnn33GlClTWLRoEYmJiTXP9+WXX/Lyyy/zwQcfkJaWRkVFBVOmTGHMmDG89tprFBQUcMcdd+B0Orn33nsB2Lx5M9OnT+ftt9/G6fRcevVE+VyAaTSqq+keeeQRTCYTZrOZu+66i0svvZTy8nKCg48twW1aWprXvoWcCg6Hg40bN/pdu+vy5jVoqorQfHZZTXBZQ1EwfHcHLW9djbN1u5N6Dnf8/ffg7+0H37gGf3v9fOE1Oxn+0H5t1npweu4VM9mKgYAGr0HpexOafUs97LuZ2JS2xKZ4o7Unxh9+D0fjK9dgMpkoLi5m7ty5DBs2jAkTJjBx4kRWrlwJwNSpUzEYDAwaNAiAyy+/nLCwMMLCwmjTpg0HDx7EYrGwaNEi3njjDVJT1UVgV199Nd9++y2LFi3ixhtvBNTgctGiRcydO5e0tDQA/vjjD6xWK/fccw8ajYaEhATuvPNO7rjjjpoA02AwcOGFF6JtpKlnPhdgtm7dGqfTic1mw2RSc49VR9aKohzzeXQ6nV/+gfhru+vyyjVUFcLBle73OWxosjehi2x+cs/RAH//Pfh7+6Fpr8FfXz9/bXc1n26/ydzw/sBwoKrha0juA23PhR0/uG5vNQJN84E+c+0+/Xs4Rk19Dd27d2fGjBnMmjWLmTNnEhAQwOTJk+nRowcAERERNe0ECA0NrXmsVqtFURSKi4ux2Ww0a9bM5dzNmjXj4MGDNf9es2YNrVu3Zv78+TVD5xkZGRQUFNC7d++a4xRFwWazkZ+fD0BMTEyjBZfggwHmgAEDSE5O5uGHH+bZZ5/FYrHwyiuvMHLkyJpFP+IM0EBPAQC2ilPTDiGETyuqsJJXZuVAYQURQQbiQwOJD2uExOtBMdB8MOz7q/6+uE4oQdHAwfr76jLHwQWvQ+42daGQokCPqyGuI5glDd/pJDMzk6ioKN5//32sViv//PMPt912GzNmqHN1NZqjV5yKjo7GZDJx4MABWrVqVbM9PT2d4cOH1/z7iSeeIDIykksvvZQRI0Zw1llnER8fT0pKCj/++GPNcWVlZeTn5xMZGXnMbTgZPrck12AwMGvWLHQ6HaNHj2b06NHEx8fzzDPPNHXTxKkUEAaRLT3vT+x+6toihPBJOSVVTJu3gZEv/8k1H67iojeWcfGbf7Mtq8T7TxYUARe9BQndXLdHt4GJc1CComkVG4w2dwscXK2mMrK6+SJsjoUWZ8ElM2Hc+9BqqASXp6GNGzdy/fXXs23bNoxGI1FRUQDs2LHjmM+h1WoZN24cL7/8Mvv378dqtfLxxx+za9cuxowZU3OcwWCgY8eO3HjjjTzyyCMUFxczbNgwysvLmTlzJlarlZKSEh544AHuvvvuRg8sq51wD6bNZqO4uJiIiAivd0PHxcXxyiuvePWcws+ExMP5r8Csi0E5YvJxn6lyQxbiDGexO3jzj938vCXbZfuh4iqunLmCb24bRGJ4oHefNDwZJn0JpVlquqHQRAhJAHMc2uxNhC+YDIV71WN1BhhwJ/S7GYKj659LUq6d1kaPHs2+ffu4+eabKSwsJCoqiocffpiWLRvoOHFj2rRpzJgxgylTplBUVES7du14//33adGiRb1jb775Zn777Tcef/xxXn75ZT766COmT5/OzJkzcTqd9O3bl7feestbl3hUxx1glpeX88QTT/Djjz9itVoJCAjg4osv5sEHH6xZoCOEVzTrAzcshsVPQ8a/6o188L3qt/+AsKZunRCiCeWWWvhspfsV13llVvbklnk/wAT1y605FhLqpIkpOoDmo/NdFyU6bGrOzPBkdRj8FPUaCd8xdepUpk6dWm/79u3bG/z3rFmzav47MDCQadOmMW3aNLfPUfexBoOBr7/+uubfrVq14r333nP7uEsuuYRLLrnk6BdxEo47wHz88cfZv38/b775JgkJCRw4cIAZM2bw4osv8vDDDzdGG8WZyhgEid1g3AdgLQWd0X1PgBDijFNlc2Kxe06tcqCg8dKY1XNwVf2MF9X+mA5tRkNowqlrjxA+4LgDzMWLF/Pjjz/WzCdo2bIl7du358ILL5QAUzSOgBD1RwghDgsy6ggN1FNSaXe7v038KVwUemi9532lh9SqP0KcYY57EojJZKo35zI4OJjAwEYYihBCCCHciA0xcdvQ1m73tYoxkxLRONW+3Ero6nlfaKI6+iLEGea4A8ybbrqJO+64g23btlFZWcm+fft46KGHOO+888jMzKz5EUIIIRqLXqdlXM9m3D2yDYGG2k6PAa2i+Oia3sSGNkKqIk+a9YLACPf7hjyoLloU4gxz3EPkTz31FAAXXXQRGo3GJfn5Bx98gKIoaDQatm7d6r1WCiGEEEeIMpu4aUgrxvVoRnGVjUCDjiizkbDAU9xjGJaMcvUiNHMnQ8EedZvOCAPvgvZjZIGPOCMdd4D522+/NUY7hBBCiONmMuhoFhlEs6Mf2ng0GpwxHSi5+DPCDXY09ioIjlF/jF4aqnfYQaOV9EbCbxx3gJmUlNQY7RDi9GargPJ8tXJHQIjn4TQhxClRUmnD7nQSGmBAr/NO0LY3t4KuXbt6Nzd0cQakL4NNC9QsGr2uhfDmauJ3IXzYMQeYPXr0YM2aNbRv375eFnhFUdBqtWzZssXrDRTC7xXuV1OVbPpSzY2XOgjOfRai24NeJv8LKCy3klFUyaINmVjtTsZ0SSQ1Kohos6mpm3bayS21sHpfATOX7qWsys7ZneK4tFcyyZEn2NNYlgtl2WiLD9IpMhJNeS6EemnOZdEB+HhsbfJ2gDWfwJAHoN8th+ufC+GbjjnAfPfddwFo06YNjz76qMs+RVF44IEHvNsyIU4HxQfh4/OhqE5C6P1L4b0RMHUJxHZourYJn1BQbuHVX3fyyT/7a7Z98Pc+RnaI5ZlL0ogNOYWLVU5z+WUWHvt6Ez9syqrZtj27lNnL9/PVLQNpHh18fCcsOgBzr4LMNWgAE0B0W7hiLkTWr7RyXOxVsPQV1+Cy2p/PQaeLJMAUPu2YxgWys7M5ePAgCxcuJD093WW1eGZmJjt27KC4uLix2yqE/9n3t2twWc1hVXs1LWWnvk3Cp+zILnMJLqv9ujWHv3flNUGLTl/78ytcgstqhRU2XvttJxVW9zk13aoshG/ugMw1rtvzdsDnV0BZzsk1tjwf1s3xvH/zwpM7vzhlDhRU8MJP27j9s7W88NM2DhS4qVHvJf/73/8YOHAg+fn5LtvtdjuXXnopU6dOdVmc3ZiOqQczIiKC2bNnU1BQgNVq5fXXX3fZbzKZuO222xqlgUIcM4cVSrPVGsEOG0SkHp5kf5y9EseosNxKXpmFQ8VVRAYbiQ0xuaZGcdph69eeT7DnD7CUgKkRE0I7nWqi55IMsJZB+OHXJCDU5bCCciv5DV2LaBRVNgcfLHXTQ3XYzL/2MqRtLJHBZ8ZUCo2lFCrzoWg/GENqa31rter85dJD6k9l0eH3cvQx9eI5nApFFVa+Xpfh8ZjvNhxi2jntCDIe48BeeT7s+d39vpwtajtBDTTLssAcD+Y4MMcc2/kVJzgsnvdXFYPdemZMs7Hb1New+CDYLRDZvFHv7d4079+DPDB/Aw5nbVD3zp97mD6uC+N7en9p2kMPPcTatWt56KGHakaeAWbMmEFeXh7vvvtuvWmOjeWY/pKMRiPz5s0D4LrrruP9999v1EYJcdysFbBnMSy4UQ2kAHQGGP4YdL8SgiK9+nRZxZVMm7eBJTtre5iaRwXxwZTetIw5HDBqdOoHiieBEaD14mKAIznsau/KZ5dBxeFvsxoN9LpOzc13+IPuUHEl93+5gaV1estaRAfz/tW9aq9FNAq700lpledes9Iqu8sH0+msVXwomt/+C2s+VoNJUIOIyz+HhG6QuwXmXFobuAF0ngCjn4YQz39ndoeTdQeK+ODvvYQ3kL7ouD9zraUN7y/NhqWvweb5tdsSu8Ols9T65EcTEAatRsCuX93vb9ZH/QLb5pzTu9KZrRL2LoH514Hl8Guu1cPQh9QFT16+t3vTgYKKesElgN2p8OD8DfRtEXnic389MJlMvPLKK4wbN45Zs2YxefJkVq5cyUcffcSsWbMoKSnhwQcfZO3atQQFBXHBBRdw6623YjQaKSsr49FHH2XZsmXo9Xrat2/Pww8/TKtWrU6oLce9dE6CS+GTitLhiytrg0tQezF/eRQy13n1qcotdqb/sM0luATYl1/BVR+sJLukSt2g0UDPKZ5P1P9WCI71attclGTAJxfWBpegfnCvmgmbvwJFUa/l+20uwSXA3rxypny4qvZaRKMINuo5N83zgpARHWIJCzzuZB9+SMG853s0/35UG1wClOfCJxdA4T74+ALX4BLUhXMr31X/1j3ILK5i0swVLNmRx6A20R6Pu7BrIuGBhmNvstHc8BdEQ0D93tXMtfDVVKgoOPr5A0Jh1JNgcFMlL3Wg2tM7/3rI33XsbfZHxQfg88trg0tQR4d+fxIOrGy6dh2Dz1ele/yCaHcqfL7KzfQpL2jZsiWPPfYYL730Elu3buXBBx9k2rRptG7dmilTptCmTRuWLFnCp59+yrJly5gxYwag5jIvKyvjzz//ZPHixcTExPDiiy+ecDskoZbwf04H/PuROqTkzp/PqvOlvCSvzMK3Gw653XewsJLMosraDeGpMOJ/9Q9sNRI6jG3cBMx7/1TTI7nz14tQlkVemYVFG91fS3pBBYeKK93uE96h0WgY0T6WeDfTEUJMeqYMaI5R34i93D5CU5aNfvnr7nday9U0PcEegsOV70Bp/XmV1f7akYvF7qTMYmdPbjnnuQnoY8wmbhvemsBjHR4HMIVC2gT3+1oNh8J0NRA60v6/1cD5WES3hRv+gI4XqSMeEc1h6IPQ+3r4+fBi22Wvef4793eKAmvnqPd4d/6cfmzBehNJL2j4/nngKPtPxsUXX8zZZ5/NZZddRvfu3Zk0aRJ//PEHVquVe+65B5PJREJCAnfeeSdz5qhzfQMCAti2bRsLFy4kOzubZ555hrfeeuuE23AmfDUWpzuHBfK2e95fuB9sVeCmI+BEVNocDQ5bZhXX6fULDIfe10H782D7D+qinnbnqIHnsc7FOlE5DVTTKssGh40Ka8PXkl3SwBww4RVJEUF8eVN//u/3nSxcl4ndqTC6Uxz3nt2O5FNZT7sJaZw2KG9gQVPudnW6Sd7O+vsspQ3OVdyRXdvz9fIv2/nPmI4MaRvLt+szKa2yMbpTPBd0S6TZ8b7W5ljoM1Udrt3whdqLqtVB+7HQZQJUlsCuX9w/1nqMi/t0enWaQExbaDkUbOWw5Wt1gWC1/N3qMLLhNHyvOGyQ28B9rGi/utreR6VENvyhk3yU/Sfrtttu4+uvv+bOO+8EICMjg4KCAnr37l1zjKIo2Gw28vPzueGGG2qmRD7xxBMkJydz7733cvbZZ5/Q80uAKfyfLkCdj7Tbw4T7uDSvTgYPNuox6bVY7O57TFOOnFMTEKr+xLTzWhuOSbPenvdFtgSdCbOp4Ws5UwKcppYcGcTjF3bmrpFtUYCwQAPBpjPn9qzoTGjCU9xnXABI6gFbv3G/Lzga9J4/qHukRvDx4VX6TgWeWLSFhLAARnWMIyEsgMt6pxBxIouoNBq1xnhIIoz/UO1l0xnU+9Daz6H1UCjJdP+4gPBjfx5jMBRnwp/Pu9+f2EMdrveS4GAfWjijN0Jyf9jxk/v9sZ18OrC+rHcK7/y5B7ubL/F6rYbLeqc06vNrD1d9qv7/+Ph4UlJS+PHHH2uOKSsrIz8/n8jISLZv387w4cOZMmUKpaWlfPrpp9x9990sX76ckJDjn+crQ+TC/2m10HWi+7lKAMMerrdq+mTEhpqYMqC5231pSaHEhfnI6utmvT0PK478H4TEERNiYnL/VLeHdEsOIzZUEn2fKgEGHQnhgSSGB55RwSWAEhyLbcjD7neaY9XFMXiYTjLkQXWluQe9UiPqrcI/VFzFJ//sp1WM+cSCy2qhidDrGnV6ztpZKGtno7Q7F86bDnv+dP+YjhervZLHyhAAA25zP99Tq4d+N4P+5P9Oiyqs7Mgp55eDGt5Zspdth0ooqrCe9HlPWqeLPHcQDH/Up3OBJkcGMX1cF/Ra1/euXqvhuXFdvL7A52iGDRtGeXk5M2fOxGq1UlJSwgMPPMDdd9+NRqPhyy+/ZNq0aeTn52M2mzGbzQQFBWE0ntjfiASY4vQQlgJXL1J75qoFx8DEOV7vOTTpdVw/uCXXD2qBsU6JuaHtYnj7yl6+U30lPBmmfA/xXWq3mULhvJeg+WBADWqmntWKawc2r7kWjQaGt4vhzUk9fedaxGmvMLIHyjnPgalOT0lid5jynfp3fdXXkNy3dp8hCEY8Bp0uabA+d1JEEHNv6E3HhNovmaEBep4e244+yV7orQtNhI4X4pwwi/S+T+BsMQzCmsG5z6tzNDWH26bVQZfL4Jxnj/8Lb0QLuPIrCD1cqrndeerq+infgeI46ZybBeVWXvp5B+e+9hcv/bqL53/azjmv/cVLP++goKyJg8zwFPU6o1rXbguOhgkfQ1zHpmvXMRrfsxmL7xvKrcNacUHXRG4d1orF9w1lXCOkKDoas9nMRx99xIoVKzjrrLMYOXIkWq22Zp7lPffcQ2pqKmPGjKFHjx4sWLCAN998E5PpxD4HNMqpyrh5ijgcDtatW0e3bt28Ww+2kflru+vyiWsozVZXVzodEBSl5p5r4MPnSMdzDZVWO3llVkqqbAQZdUQFmwg9nlWojcBt+8vz1JXkdoua0sMcpw7l1eF6LXqigo1Ndi1N+T7yiffwCfDXdleraX+XTujKc9VFefoACI5S/46rVRRARd7hOdXh6nv5aL13pYdg3rXktx5PQXRPrA4Ip4S4Na+j73c9tD3Hu9dQ93dgKYPyHPX/TSFqb+zJTNcpOaTO39z2nVrNp3pxT0x7mPDRCVcG+3NHDld/sMrtvk+u7cNZbRt5vvixKM2GygJ14VRgZG1+1CP4+9/C6eTMGocRp7+QuAZz4nlToFFPcqQf/AkFR3seKj/Mb65FnN60BrXn3VOeyKDI4897mLsd9i8jav8yoo7cV7wXEro33j3DZPZuIYXQBNj4Jfz6X9ftudvgo/Pgxj/VHr/jUFZl590lezzuf3fJbnqkRmBu6mkbp/DeLrxDhsiFEEKcvvb/43lf/i51Bba/KM2G359yv6+iAA6474VsiNXhoKjCcx7RwgobVg+LAIVoiASYQgghTl8NVc0xmtVUQI2t+CBs/Ra+nwYr3oGCPeqUlePlsKhJ5z3J+Pe4TxkSYGBIA0PgQ9vFEhogoxvi+Mm7RgghxOmr+SDQGcHhZrFK7+sbLufqDQV74KMxrimLfjbA5XPVth1PLXGtQZ17eGRFo2pxnY67eQadlsv6pDB7+X5KjihbGhqg59JezdDrpC9KHD951wghhDh9hSTCFXPVRUN1tRgCfW+qt+DNqyqL4Ns76+fDdNjgi0lQ5rkCkVsh8TBkmvt9RrMasJ6A5IhAFtwykOHtYtBoDmeSaB/DglsG1s/rK8Qxkh5MIYQQpy+9EZoPhFtXqoGezgg6HRhDGj+HYkU+7F3ifp+tQl2AdDyLcjQatVJQ/m5Y8VZtCcWQeLjsMzU90gnQaDS0jjXz6sSuZBWUEhgUSHiQkZCAps2KIfybBJhCCCGOW0G5lYJyK2UWO+FBBqKCGykgsVaoqX4q8tXcl0HRx19mVWekQBNOKU50JdlE7P6S4C1fQOdxMPhedXV2Y3B4XjwDqD2cx8scA0MfVof3SzLBGKQO84ckqAHoSQg26SnN3k8rSfEjvEACTCGEEMflYGEFd32xjtX7CgHQauDi7kk8cE57YkO9WMmqLBf+fg1Wvl0brMV1UpNsR7c5plNYbA62HirmsW+2sOFgMTqthnM7XMy0S64g5duJUJIBF74JQRHea3e1gFC1d7HUw1B4fNqJndcUDKYWENnixNsmRCOTOZjipJVW2cgqrqSgwkZgoOeawD7LYYOiA5C7HW1JBhGhXsxbJ8RpJrfUwg2frK4JLkGt8T1/TQav/7aTSpu9gUcfB4cD1n0K/8xw7QnM3gyfXADFGcd0mt25ZYx/ezkbDharp3UqLNqcx2Xzcskc/R5s/17tIW0MIQlwznPu93Ue1/gLjIRoQhJgihNWZXOwJbOEe+au45zX/uLy91awsTSIggZyqvmcshxY+gq8NQDe6IPmrX6k7pmFpiK3qVsmhE/KLqli66FSt/u+WH2A3NITSL/jTtkh+PsV9/tKMiFvx1FPUVpl48WftmN31i9Yl1lcxarCYLWUbPGBk22texoNtBoOVy6oXeEdHAOjnoJzpjdOr6kQPkKGyMUJ25RRzMR3l+M4fPMuqrDxwFebGb+/iP+c35HwoONIv9EUbBXq8Ns//1e7zVqO7p8ZKBX5cO5zx18zWIjTXGaR58TkNodCucXhpWdS1AUwVcWguEn0nbMVWg1r8AxlFjsr9hZ43P/TPgdjYzujDaxX48d7AkKh9QiI7wL2KrUm+XGWsBV+rnAfrPlE/f+I5tDjKvX/G0m7du0YMmQI77zzDpo683IXLFjA//3f//H777832nPXJe9wcULyyyz8Z+GmmuCyrnlrMsgp8VIvRmMqy4GV77jdpdnwGZRLL6YQR4oP8zzHUq/VEGzUqwtzCvbA6g/hz+chfYX699aAgIAA8sqs7MkuJj07n/LMHdBhLFzxhfqBfKSYtkdtq06rISLY8xfd+GANWkOAOk+ysZlj1KTvoYkSXJ5J1n0Kr/eAv16CTfPV/5/RU93eiP78809mzpzZqM9xNNKDKXA6FYoqrWg1Gs+9jpXFoDgoJRirE6psdnbnltU7LDkykHM6JZBXbqGFIxhDUyToddihqgi0+obTkFQUeF7lqSjqB2JUq8ZooRAnrdJmp8LiINCow6Q7udXD9c5ttVNhdRBg0BF8RA3qhLAAWsea2ZWj/v1rNDCodTQ9UiJoER1ETJAGdvwA86+r7Xlc/DQk94UJH6kB1hHKrQ4ylXBueXc5+/Mr0Gk1jG4fyUP9zib56/HQ42roO1WtggNgjoWY9vVehyCja1tjzCZuGNyS/36zuWZbbIiJy7qEEx0II9pFgOkOl1XkiqLUlE5sKDj1K3YrWErUFE0yKnPqFO6Dr28D5YhefacdvrkdUgc0Wk/m5MmTee211+jZsyc9evRwe8z27dt58cUXWb9+PQEBAQwfPpx7772XkJAQr7TBpwNMh8PBlClTSEpKYvr06U3dnNNSRlEl367L5Jv1mRj1Wq7qn8rA1tHEVa8ELcuBg6soLKtis6Ejb68qJqfUQr+WUbx/dW9e/XUna9IL0Wk1PHp+RwxaDQvXZbBkRy4jO8QysU8KyRGBLt30japwP6ydA9sXqYmH+98GKf3UD6QjGY+SQNgki32E76m02tmXX8E7f+5my6ESWkQHc/PQVgSHRZ70uatsDvbnV/Dukt1szCgmNTKYm4e1ok2MmZBANQVRTEgAH0zpzc2z/6W0ys4TF3Zi6a48ftqcRZBRj16j0NehI0arA0edoe0DK2DFuzD8kXrJzTdnlnDD7HU1/3Y4Fb7fks+mrCDmnvM28QsugcvmwJpZajB42WdUBsaz71CJy+twy9DWtIwJrkmXpNFoODctniU7cvltWw5PnZ3IqIgsYtY/gbYiB8U6WE227rCDTs+hokp+3pLN3NUH0Go0XNYnmRHt4xrstfVpTgcU7YdV78Pu3yAoCgbeCYk9IDi6qVt3+lvzSf3gsprTru4f8VijPPWoUaNQFIV77rmHhQsXEh4e7rK/sLCQq666iksuuYQZM2ZQWlrKfffdx7Rp03jrrbe80gafDjD/7//+j9WrV5OUlNTUTTktZRRWMOHtf8gsrqrZtu5AEf1aRvL6Zd2J1ZXDz49SYoplpuMC3li2p+a4HdllzF19gBmX9+DRhZuY1C+FFXvy+WFTbTqO7dmlzF6Rzle3DKBlzCkI1gr2wMyRar68agdWQIcL4PyX1cn1dQXFqDfazDX1zxXVCoLdBKVCNCGnU2H5ngKu+3gV1bNTdmSX8dPmbKZf3InmKc4Tzl+oKAqr9xVy9Ycra6a+7Mgu45et2Tx7cRoX90giwKCeOyUyiE+u7UNhhY3L311OblntlJg16YWMbBvN9JGvEf3TLa5Psnom9LkBwmrv6fllFp76bqvbNqUXVLDF0oz40CTY+TPcvAwMQTiDY1m+I9ft6/DihK5c0DUBo15ta2xIAM+P74KtvIjItW9g/Pq1mvNrcrbC2llw7c9kB7dh8gcra3pmATZ+VcychP28P6U3CWF+mCEjbzvMHAXWOqNN+5ZCnxvVXJqyyKhxNVQ3HtQOkUb0wAMPsHbtWh588MF6QeNvv/2GwWDgvvvuQ6fTERAQwKOPPsqYMWPIzc0lJuY4c8264bMTQf755x9+/vlnzj777KZuymnJ5nDy6Yp0l+Cy2vI9BWzOLFHr3W6cS27rS3ljWf35U1U2J//3+06uHpBKm9gQl+CyWnGljRd/3k65xUupSzyxVahzveoGl9W2fqMGn0cKjoLx79cfoghJQLnsMwiRFCLCt2SXVjFt3gbcTH3m8UXbyCs78QwO2SUW7vtyvdt51f/7dnO91eHBJj0fLN3rElxW+3VHEbuDukDQEb2qltJ6PTpVNod6v/Hg7wM2iG4Lpdmwbg4UpZNdXOHxdXh04SZyjmhrlNlEvK4Y4/LX6j/AVony3T0U5Ga7BJfVthwq5e+deR7b57Mqi+CHB1yDy2or3z3+MpXi+B1t+DsitVGf3mg08uqrr7Jq1So++OADl335+fkkJia6fCFt1kytBJWRcWwpwI7GJ3sw8/PzeeSRR3jzzTf56KOPTugcDoe3VjKeGtXtPVXtzi+zsmCt5zfRZyvTGdjtIMbIlqw+ZPV43PqDxbw4oSufrkz3eMxPm7N55DwrAfrGGybXVBSi3fyVx/3Khi9xJvaqvyMsFc2UH9AU7lXTnkS2oswUiymsBTo/ew/BqX8fNQZvXMPJViHx1devoNzqNqADqLQ5OFRSRUKY6YTOXVhhIauk/hdOAIvdyYGCChLrnLuw3Mo36zPdHg8wf7uVvin9Ydt3tRsTu+PUB6LUeX21Gg1hgQaKK90Hx0khGsgrho4XwsYvYekrFFyzrcHXIau4ioRQ19dBu+9vPN2BNAdXYbJ7DnI/W3WAkR1jCTF5/sj0tb89bWUhGk9lKgFl1284o1wXSvnaNZwIX7h/1OhxlZqpxOmmg0Wrd794zctSUlJ48sknmTZtGpdccknN9qSkJDIzM3E4HDXXm56ufo57o/cSfDDAdDqd3H///VxzzTW0b9/+hM+zceNGL7bq1DlV7Q6OTkTbwLxIjUYdMgPF4025mkmrEKD33BmuASoqylm3x/0wmDe0jQ8mpIHrUYA9e/ZQUuL+Q0SnC0Yf0Bt7iR2Hoxyy/PP9U81f3/91ncw19OzZs8meuzFpIxuuW2232Vi3bt0JnVsfdZRz221s2LABp1OdVxkSm4y2gZuDBtTFcnFp0PlicNixpp7F9r1ZWK21X0jN5hCu7p/C67/vrncOnVbD8FQDbMyG6NaQvUk991FKLNqOeB1MJhPttAEYAiOgstDtYxqaJ64BsrOy2V149MwSvvLeaR8fSLB6I3e73+5wsHP7dior66ed8pVrOBlNef+oEdEcLpihLuipG2Rq9XDB/zVqqqK6zjvvPFasWMHnn39eM+VwyJAhTJ8+nRdffJE777yT0tJSnn76afr16+e1aYk+F2C+8847GI1GJk+efFLnSUtL86taqg6Hg40bN56ydjucCuN6lPD677vc7r+iTwrGsEAo2EOvBM8rKXukhmMOMjGmSwJv/elmGBo4Ly2ehKgwWsZ380bT3dLYq1A6j0ezdpb7/V0vo2VCy6Oe51T/HrzN39sPvnENvvr65ZRaiA0x1RsCBggy6mgWZSaxZbcTOndumZWk8EAy3OS5NOm1tIgNIzGsdl6yzaFwYbdEZi13P3oxvkskNvODKIV70W9fhD0wBsUQTIvkRAJDwl2OvSLewroDRSzZWTvFxaDT8OZFqcQf+kX9kP72zpp9kZV7G3wdkqNDSDj8OmgsJWjKcyHLAKOeVOcdLn8b9v1V8xgluR9V+jCPr82kfim0Tk2AVM8fvL7wvq1LYylFaTkcze7f3O7Xtzubdm56MH3pGk6Ez11DtyvU1eJrPlHnXEakNnoeTHcefvhh1q9fX9PJEhISwocffsj06dMZMmQIACNGjGDatGlee06fCzC//vprcnJy6NVLHc6sqlKHbH799VdWr159zOfR6XS+8eY6Tqeq3TodXNYnha/WZXCgwPUD5aw20XRMDEWj00P3q4jZPpt7Bk/g5b+yXY4LMup4+qI0IoNNaNBwWe9kPl/lWhEjMtjIPaPaYQ5o5HQfumAYfK+6EKDMtZ2kXYomovlxva7++v6p5u/th6a9Bl99/eLDAnn50q5c/eGqenMln76wIzFm0wm3Oz4skJcu7crk91dgc7ie+5mL04gNqXNuawW60kPc2CeKn7dkk31E3tvz0uJpHhOG4bMJkLcTACPAqjexD32cyu5XYa6z6j3GbOI/I1OwntOBNemFRATq6RofQFzFDkzZ+2HuCy5zCeO2fsLLE17i6o/+rfc6TB/XhdjQw20ty1VTJP37Ye0BhkA470U1i8SOn8BoRnP+y0QFxtAhIaRelaKuzcIY0DL6mF9Xb793bA4HBWU2FCAy2FCzeOmogsLhnGfh/VFqsvq6BtyOJiTBYzt99f1/PHzqGiKaN9pqcXe2b99eb5vJZGLhwoUu29q0acP777/faO3wuQDzxx9/dPn3gw8+CCBpihpBYnggX9zYn1+3ZvPVmgxMBi1X929Oz9QIYkICgAAY8SghhzZwVdFe+l3ZhXf/LSan1MqAVlFc3ieFZhFqqp+IYCP3nd2WUe2j+HjFQYoqbJzdMY4LuyWRHHmUdEDeEtkCrv8VNi2ArV+DKRT63QqJ3SQlhzgtaDQaejWP5Mc7B/PB0r1syiyhVUwwNwxuibYiH8NJ5sPskRLOD3cO5uO/97HuYDHNo4O5cXBLWkQHYTq8ghxbJez8CeZdS3JoEgvGfcT3+7Us2lFBsEnPtYNa0DUphMi//lsTXNYV/Md/KW89Co5Iq1Sad4hu3brROelwT2LWRvjkXPevQ7tz6dUiuv7rcFZLmkcFY6wOLLZ/7xpcVrf/2zvgyq8gphP0vArCU4jV6vhgSm+W7szjs5UH0GrUnssBLaOJa6I0RRmFFXzyz351vrwCF3ZLZMrA5jX33aOKagNTl6ip23b9qt4HB9wOcZ0bzhEshBf4XIApTq3E8EAm90vlgq6J6LSamvxxNYJjoPUIwi1l9HHYSGvTEotDIdikr5dEPSLIQIwjnzcu745DgZAAA7qGJmk1hvAUGHCHmphZpweTdxLGCuErAgw62sSF8PiFnamw2Akw6jBoYd26XcDJrUo16nW0jg3h0bGdqLDYMRm1BBqO+JgoPQTzrlWTqBcfIOmzEVyXPIAJbYeij+uAuU13HKU56Na5n64CwNZvKY1uW/9+U1d4Kox5Gb6/13UeYdoEaDPK7esQYNBBRSHk5aur1Ze+7P7cTgccWHk4J2ft9SWEBTKhVzJnd4pHA4QGNtC+RpZRWMnEd5dzsLB2hGnm0r0s2nCI+Tf3J+lYgkytVu09G/IA9LsZ9CYwBjdeo4Wow+cDTOm5bHyahir4VDucdDzw8I8nNpuNIGMTD01otZLfTZz2jHotRr36d+vtVb91z13P7j/q1QbXHlhG+IFloA+A5qtRUNSeQg+0liLsHhaf1AgIhS4ToeUw2P+3OkTefLBaCahO+iOXtubvViunpC+Dce9DSQPpVvJ2uASXdYU1YWAJ6gLLnzZnuQSX1bJKqvhm/SGmntUS7bF+gdfp66eMEqKR+XyAKZqA3aLW4XY61HlKRyYoF0Kcucrd1BSP7wI9r4bYTmCzoNNoUC58E8e+f8htcQF2vZmA0r3ErHkNcrdjb3MuwY4SOJQBGh2aoChMptq0QgVlVZRXVqHTaIgyhGBqcRZodWrxA71RzXfrsAOKuk2rheIM+HhsbVCZvxM6XqTOPyw+CDlbXNvcalijvUQnq7jSxtfrPAfH367PZGLvZkQGn1hKqqZkczjJLbXgcCoEGnREh/jfNYhjIwGmn7M7nGQWV/Hn9hy2ZZXSPSWCfi0jSQo/wfKMJZmwbAb8+5GavDw+Dc55DhK7qqUXhRBnthZD4I9na/89ZBqEJKhD2us/hY3z0Djt5Fy6iDlB3fhw4UFKqgppGZ3Ew0M+oGfVP5giW6B/s09NYQRteCptL3iLKquNbVmFPP7dNjYcLMak13JptxhuSYOE765C6XQJlp438MG/hWSW2hnVwkT7mFLiIsPVOZvVwWVid2jWBwKj4NBadRVvTHtY/AxkbVDnIjYffOpfu2Ok02pqqia5E2DQojtV5Xe9KKekik/+2cfHy/ZTarHTOtbMf8Z0oEdqBKENTZcQfkkCTD/mdCqsP1jMpJnLqbKpQ1ZzVqQTGqhn7tT+tI8PPfaTleeBtRy+nOJaOjFrI3w8Bq76Flr47g1ZCNEAp0PtAfSGyJaQ2BMy/4XWI0FrAI0Ofv2fGrwBBcOe4+G/7fy6Y1/Nw/bklXP9/HJev+wcxv75P9eqW0X7MX57C5sv/I0J766oqdBjsTuZtTqblQeC+WToi8R9czn69JWkdn6B5xdnM3s1tIsL5sNxWhLthwtCRLeFs+6HuZPVe1o1UwiMmwnrP4dhD0N4svrSOBWyS6uotDow6rXEhpiOfaV2I9FpNIzr0YwVewvc7p/YO6VJ54eeiIIyK/d9uZ4ldaoi7copY8qHq3hnck9Gd4pvwtaJxuCzpSLF0WWXVDF11uqa4LJaSaWd2z5dW6+0m1tlubBpPsy9CjL+dV+XW1HgxwfVY4UQ/sFaAbnb4dfH4curYeVMKEr3mHj7mIXEwWWz1QwNPa6CtbPBEFATXKIzkh07kF93FLl9+NPfbye7xSX1thd2uZ4nvtvmtvzj9uxydijNwByHPmMF3UKKa6rqbM8u591VBVhiO6sHD7gDvr/fNbgEtUzlDw/AWQ+oQShqZaQvVh/gghl/M/ylPxn18hKe/3E72R4qGp0qpRY7ep2GwW3qZ7/o3zKKqGADVXb/qrZzqLjSJbis64lvtzT5ay68T3ow/VhOqYW8MvdlHHfllFFYbiWmofktFQVqr8O62ZDcFzIayDOavQls5YDMxxTC59ktsPs39Ytj9YKcrd/C4gi45geI7XBy5w9NhJH/g+zNEJakfjmt2ZfElhzP5WWzSyyUmWLrba+I6cbaA8VuHqH6fb+VwbEdoSyboMzlNI8ewMYM9fgv1uUzdWAzEoKi1MUsnhb3FO4Dh/rF2+Zw8tXaDJ5cVDs3s9LmYObSvezLL+eFCV2JONrix0Zi0Gn5+J99XNy9GRd1T+L3rTkoKAxvH0uVzcni7TkMbVf/NfRlGw56/t1mFFVSZrETdwrbIxqf9GD6sSpbw99grQ5ng/spzVKDS1BXaAaEez5WH6CWtxJC+L7SLJh/fb3V3lQWwte3ug5Pnyi9UU15YymDwDpZG6xlRAR6HmLWaMDg5pNHa6/E3ECt77ggTU2ydUdQDBXW2tJ7lTYHTo1OLb/nPErP3uHXJKfEwqu/7HB7yK9bc45tBKiRRAYbuXFwK/73zWamf78NnVaDXqvl+R+385+Fm7i8Typ6nX99fEcEex7S12qol/ZO+D/5jfqx+LAAj3kmzSY9EUFHmaNzYDklAx5i78TFbBn8BgfaXoWl8+Xuj+0yUe0B2fWr+uElhPBdudvB7mHIMeNfdfTiaJxOdWV21kbI2QZlblaPB0WpczCTeoHm8MdJeS5tzVUEelikMrxdDJH7v6+3PTLvX67sm+z2MRoNjGphVNuu1VMU04vdubVD4L1SIwhWKuDP59S8jzoPPY/6ALXNQGmVjVKL3f1xwN68co/7ToW+LSOZ1DeF3DIL36zP5Jv1meSVWXjywk6kRp2i4hVe1CkxDJPefcgxulM8kUf7vBJ+R7qk/Fi02cQNg1vwtpsa4NNGtyM2tOH0DxlJ5/Dw+v38+fshAEz6LK7rfxvXjhlJ9HfX1R4Y1xnanwdfXAkOGyT1homzIDTBq9cjhPASW0XD+52eAysAqkph96/w/X3qAkBQV2GPmwmxnbA4FDQaDcbgKLjkHfj7VTj3OXWOo+Ik7p/HmTn+Ja6Zu99lJCU5MpD/nt+BkN3r1CDQYYWIFmSM+YSleWaGxoaxbE+By3CqRgMvjEkmfsNboNGQf957vLispGa/Tqvh0SERhG+doy5EXPYa9J2qZsM40tCHwawOxJoaWKUNHP0L+nEqt9jJL7disTkwm/TEhnruIAD1/n7/6HZcM7A5q/YVEqDX0iM1ghiziaAGenp9VVyYifeu6sV1H69yKUXaPCqIR8Z0wCyryE87/vcuFTWCTXpuGNySVjFmXvttJwcLK2kVY+b+c9rRr0UkhgaSneeWVnHD3F1sqVN312J38uZf+zEO78Qt42dhzFqjfqg4rLDgRjW4BMhYBRu/hP63qfnnhBC+Ja6T531hzRqeDgPqnOsvp7huKz1EVm4u/2ZlMG9tFgEGLZP7pdI2PoXooQ9B4QG4aSls/RZDZQG9g3L49Zau/LMrh/RiO70TDbRvnkJ8dAiETYbWI6BwL2Vh7dDkZTCyYgnO3Fheu2QoOwocrN5XQEKokWGtQojL+Zug1B7Yh93L33tsLEvfj0YDfZtH8MhZEbRZ/Tjs/gEumwPzrlMr15wzHVa8A4V7IaoVDH9UTbFkUMs+RgUbOattDEt21F+8GBVsJPlYyzEeg8yiSp77YRuLNh7C4VSIDDZy39ntOLdzPBHBnud5hgcZCQ8y0jrW/yuSGXU6+rWM5Nd7hrBsdz4HCyvp2yKStnEhxDdRKU7RuCTA9HNRZhMTeiUzpG0MdqeCUac9psS1h4qrXILLut5bup/xdwylWf4O+Olh9/O1Vr2nDpuHyLRsIXyOOVbtxVvxjut2jQbGvNTw6IOlVF0ZrtG4rDg/dMFnXPuzja3Vq8WBHzZlMbZLAv+9oBPRSVFQtF9NbJ6zFW1ZPsZWlzAsIZag4F2YV74OMS9B9AB1nuQ/b+LoPI7A7+/AvPf3mnPG6AyEjf2YzfpUBiVCi4UXwlXfQEgc+pJMztv/DH3GjsdpNBN06G/CF71d28u66zdoPhB+e1wdeek7FdqMUlMUmV3vVaGBBp65qDNXfbCSPXWGw0MD9LwwvgvZxeVEmY3HnLIot8yKPiqFXbnlRAQbiQ1Rg6bcUjXbx8aM2l7XgnIrC9dl0KVZGPPXHGRLZgk9UyM4q20MSeGBx16hx88Y9TpSo4JJjZJylWcCCTBPE7Ghx/cNsKH5ReVWBxV21Dx3nhYDWMvVWr9CCN8TEAZnTYNmvWHJC2oBhYRuMOK/nleQl2VD3i7YsxgiUuCKubBxPjhtOGM78fWBILZmZdZ72LcbDnFFrwSitz+npipK6kXWue/z6aoMPv42l9KqHPq2SOWRYR/QJtCICdRKYcXpaHb9hrZOcAmAw0bkN5O5aOKfzNlYwqPnPKteD4CioN/+LfGb57m/Bmu5Os8S1F7YjXOhy6U18y6P1CwyiHcm92BzZim7cstICA0g0mzkxZ93sDOnlJ/uGEDLuPAGX2qLzcG/+wuZNn9DTWnHFtHBvDShK2lJYRwsrHQJLgE6JYZydf/mjHtrGRa7OoVgwdoMQkx6Pp/aj06JYQ0+pxD+QALMM5HTybAEG0smR4FGw/7KQKb/XcTmTLVH06DTEGDUqz2U2+tPxgdQ2p1HkWImI6MYnVZDZLCR6CNXCZbnqT/2SgiMVHtVDHUqmZcegvJ8dT5YcDSY4z3WBhZCHKfgaEiboA4LO+xgDHRd7V1XSSb89Ai0Hg4JXdVtVcXQeRwYg8kJbAXbylh4ywCsDoUgow6HU+Gzlel8sfoAs1Zm0HPAeIztz+dgeA92F9hpnxLPc6kJLFhzkGW78/nnQABtIjRw8F+1LcMeQTt7nPpcWh30mKL2NjrtOMwJhBvDObtrEOlhJmIUPYGg1idvc7a64NCdFoPh96fV/w6MgAvf9BhcgrrQ58lFW1h/sITE8AAKyq1kl9SuHv9uwyEu6xtAYaUNi81BRLCRQIOuZi5lZJCRUoudyR+sxFEngefevHIuf285P941mK2HSuo97/WDW/LY15tqgsua9ljUHMZzp/YjJsQ7w8bFlVbyy6yUW+xEBBtRFCipsqFBvW/HhZpcqr4FmUPIKrFQUGHFoNUSGWw87g4MIUACzDOPtRz2LiH061sJPdw7mRIST/uRr/PImnB+3l7Exd2TiDYbIbmPOgczd5vrOUwhVPS+nbNnrCD3cB7OZhGBzLi8OwFBh4c+8nfBvGvh0Hr133oT9L8d+t2szv86tFadK1W0X90fEK4uEmh3bm1vhRDi5JmPki/RboFti6DDWPj5ETXYBDWf5PBHqUgdToUSzOaMTJ7/cXtNIvShbWO4Y2QbuieH89OWbJSMdeyIH8UtszayK0dNJxRo0HHzsFY8MyKCiF/vRbdssfpgrU4Nfs97ARbeBBe+ATt/hi8mgdOBDghLPYuIgc9z8ZsHuKRHM6YOaUW0OQSG/UfNZmGrdL2OhG4Q0VK9b7Ucps7xDHO/Kr1aRWUVO3PKKa60UVxpc9nXMjqYXi1jmfT+CnZkq9cTYNBy/aCWBBp1vPDTdq7ok0xpld0luKxmsTv5dEU656W5VqjRaqgJUt3Zm1dOfrnVKwFmZlElDy3YyJ87crmgayIDWkfx/I/bKTj83HGhJl6Z2I1eqREY9TpKq+ysKTAw/dO/albYp0QG8cYV3emYGNbgoiQhjiQrNM40+bvh88tdh75Ls4j5+goeGxjEyPax3DOqHUFGvZpM+coFMPhetTfEGAxpE6m65ncmfJlVE1wCHCys5PL3lqMPjUVTlgUfX1AbXIL6IfbXi7DhC3Uo7uOxtcElQFURfDUVcneqqVF2/Ax/Pg+bF6rVR5xHyekphDgx5bkQ2Qq+urE2uAQ1ldGiu7E44JVfd/LthkMuVXb+2JHL8z9uIzrExE19IilMGMiln+2vCS5BzU+ZqC8n8vup6PYurn2w06GWbNz5M5z7Auz5AzbMdclhqdu/hNaLb+bRYbG899dePluRjs3hxB7ZGuXW1ZB2KRiC1AB66MNw+Wfq/MvxH0GvayA8RZ1H2oBAvZYWUYFu991/Tjtu/XRNTXAJUGVz8n+Ld2HSa0lLCiMpIohNmfV7KKv9u7+QGHNATdUhUFe9W49ShafuKusTVVBu4c7P1/LnjlxCTHrGdk3koQUba4JLUJPeX/X+StIL1GB9Y2YJj3y9xSV9U3pBBRPfXU5G0VEyEwhxBAkwzyTWcvjrZfel4px2EnfM4tUJnVxX9IUlwdCHYOpfcOsqKs55kesWFbDlUFm9Uxi0WnblV6Ipz4FKD3n2/npRDSyP7H0ACI4BRxW8PxI+nQCLn1ZL3L01UJ3bdbIl7oQQ9Wm0ag+mw+Z2d1Glne82HnK7b/meAnRaDbHhwazMhqIK13NoNdA3xoY2Y5X75974JSR2V794uqE9tJZeUVaSwgNoFx/C1+syuPWzdTy6uJDN/V6g5JZNcOMSGHyf+oUYjiuzRWhIMHcNS623vVlEIDklFpdgrK4Plu5lYu9k8sssJIZ77mlMjQomymxk1vV9CA1Qg0ybQyHYpEffQA7jSC9UEMortbJqXyEAY7sm8sWqdLe3ULtTYdbyfRSWW3n+x+1uz1VhdfDLFjd5UIVogASYZxJrOeRs8rhbm7Ues9bNDVVnUG/eYUmU2I1sOmLCukGn4aXzkvhxQiCjDv4fbJwHl7yn3vSP7EGoKACbhwTQfW+CXx517UUBsJTAp5dCifsPOSHESdDo1MTsHpRZnG7rg1crrrThKC9kfXb9Xrlgox59RbbnBzvtakJ4D8EtgL48i+njuvD4t1u478sN/LQ5m9kr0hkz428+31hMqTEaGkjJdjTtYwOZPqa5S2L49vEhZBR67rHLLK4iMtjIN+szubSX52H46wa1INCoJy0pnB/uPIuPr+3NCxO6kBIZxM1DW7l9zEPntj9qDuNjkVNae59tFhHo0rN8pI0HS6iwORo8ZvW+ApwNvRGEOILMwTwdlOepN+rACHWuoyeGIIhqDXk73e+Pbu+6CMcNk15LalSQSyLkdy5KZuC2pzH9/kPtgf/8H3SbpM6X+v3J2u0BYTV56OqJ7eB6bF1l2VCaCWGJDbZPCHGcgiIhph3s/9vt7mBjw/0QIQEGTPZS2kfV/zipsDlwBMV4frBGC/pAdU6mhxKPzpgOfL70ABlF9Uc9nvl+KyPaxxJyEkm6Q8MiuaSbwqDWkeQUlaHXQny4mWUZnpPRx5hNlFTZyCuzsjmzhDtHtOaNxbuxHw7ATHotT13UmeaHK+7otBqSIgJJiqi9v14zsDlt40J49dcd7M+voE2cmftHt6NHSoRXyiZGmWs/C7JLLaRGBbMv333Q3CbOTODhe/u2LPfp6zonhZ226ZNE45AeTH9WmgVrZqnzGWeOVCfoF+zxPF/RZFbnU7qj0agLcLQGtQex6ACU1U9AHBFs5O6RbWv+3TbOTBfbOky7f6h3LOvmqPOggiJrt/W7BUKT1V7RIzXQiwGoPZlCCO+xlEPxQfXL4OWfq3kj9a5fAENNGoa2cx8kdmkWhhaF2I3v0K9VDMFG155Eh1NhXaEJYju6f/5250HuVuhwgfv90W0p1Ebw8xbP5Wl/33byQ7fGkCiaJSTQo1UiXZonEhuXQK8WUR5ro1/ZP5X5/x4E4N0le+iUFMZv9w7h3Und+OTaPvx6zxDGdk1ssDpNZLCJsV0T+fzG/vw1bRizr+vL8PZxhHtheBzUILhjQigA36zLYGJvz2U4rxnYnEizibtHtXF7jFGnZUyaVG4Tx0cCTH9VlgMLb4FvboOcLVB8AFa+B+8MUYNMT6Lbqak7DHWqVJhCYMLHajqPf96AdwbDq53h4/Nh5y9QWeRyiu4p4TxyXgdMei2T0sxEb3zP8/NtWQhtz1XvYt2vViffh8TCFfNcU6boTWqFEaOHBLwaDYTXnyslhDhBpVnw44Pwf71g5gj4/Ar1y+X499WRDEMgnPcigZYc7hvVhv4tI10e3qVZGP8d25HOiSEYz7qLxPUz+OyyVGLrFHrQaTXsKjNiv/g9iE9zff5WI6DbFfDdvWo6pNYjXffHdWLf6A/JKLU3uOilrIF64sfNGAwm9R6UGBbI5zf2I75Oih6dVsMVfZKJDDKyal8hWg1MGdCcHikRNAsPINaRy8BWkSRHBhFwlFKU1WJCTCSEB7r0OHpDdIiJdyb3pFNiKIUVNpbtyuPh8zq4TAUIMel5+8qepESqnwe9UyO5Z2RrDLransrIYCOfXNeHxAhJVSSOjwyR+6v8XbD7t/rbLSXq4pgL/899sBYQCmnj1XxxJYfUCfHmePWm+sODrpPtc7fBnPEw7n3odEnN5PnwICNX9k/lnM7xBFrzYHNx/eepVlUMQx85vBI9Rn1+UJ//pqXq0LfDBiEJaoA75AH45bH65+l6pbqSXQjhVnh4+LEfbCmDXx+H9Z/WblOcan5JWyVcv1i9JwRFE1yWQ0tHMS9c0okSq0JBuY3QQD1hgQYig43q8PSB3ehWvUPa3j/45tz/kRvQnEqbk7gAO9EBFvT6YBj/oXruqiIIiQdTqNqOi95URzQG3gX9b4XKIhyhyZTpw8mvCqV9pJleqRGs3l/o9lKGtz9KGqYTpNVq6JQYysJbB5BXZqXCaicuNACjTkt+uZW5U/sRFxpAVLARc4ABh8OBw+FbxSeSI4P4+No+5JdZKKq0ER8SwOhOceSVWdBqNMSGmIgNCcCgV+/tYYF6zk7Vc9G9Q8gusWDSa4k2m4g7St10IdyRANNfbfRQyQJg27dw9lOeewP1JnXoOjyldlvudo8rOfnpIUgZ4DL/MdCgIzkyCOxx0GY0rHzH/WM7XAhxHesv9tHq1B7LsGau27tfqQaavz+lJmIPjIABt6vbTzI/pqIolFTZ0Wk0mAPkrS9OE6XZaHO30WLD52i2BkH3KyCieYMJxinLhg2fu9+361cY/Wzt/SGyOUGAx8rclcWw4m0ANHnbif/mcuI1GnXxkNMOqQPh/FcgsnX9Fd7ODJh/g1qMoZrOgM5hIwzo2fcWOPdZ/ndBJy55cxlWh+v0n2HtYmgW0fC88ZOh0WiIDwskPsz1ORLCG+85vS3abCL6iN7Rhko1lpcU0aZlc1IipZyjODnyKeuPbJaGF/PojEfN/1ZPcYY64V5xM3+zLEftdXC3wEZvgn43qT0hliMmh4ckqInTj6ctQVHqfLBWw9XVpTrT4Qo/J75KFNSEw79syebrdRmY9DquGdic7inhXquWIUSTKD0E829As+8vav7KVs+EntfA8P947vW3lLj/W69WlgUxbT3vr0uxg+2IxSOKom4Hdd/mheqXxLCk+o8/8vZQdy724cpebePMfHv7IF75dQfLducRHmjkhsEtGN0p3nVoueSQOvKyd4maZL3VMPU+5GlhoRCi0UiA6U+cTijcq86TbD0Slr/p/riul6vpgLZ/DxEt1BWiR/QUOp0KGUWVbM8qZV9+OW3jOpNy4w6iNr5PyLJn659T38DE8/DmcMPvKL89gWb792rPRdqlMOR+CG+4koZbGk1tTjsvyCisZOK7/9TUCQb4Z08+I9rHMn1cF2JCvDv3SYhTZtv3sO+vepsrKivJLYU12w9SZXfSKzWCmBAT4dpKNbF6vajuCFodZG1SA9SQeM/HKYp6rg5HFFaoq9Vw2PsnJPVUe07DmtVWFwqKgi6Xwb8f1h6v0arbbZXqdB7AqNfRLj6EFyd0obTKjl6rIdrsWuKQogMw+2LXLBlaPUycAy2HSpB5ilXZHOSUWlh/oIiSShvdUyOIDzURGSz32zOFBJj+pHAPvDtM7X0IPtzTt26O6zHhKerN/r2htT0BwTFw9Tc1KzkVRWFTZjGT31/pUh6tdayZl8ffSLPAKCJ/u6/2nM0HNzzcptVCdFuUC96kvPAQQUHBaIOi1HrDTczmcDJnxX6X4LLab9ty2JldKgGm8E9lOTVD03WV9pjKotAreOS1FS75K68f1JyHeoHu0wnQ+3qUlsPQ7Flc7/HEp0HhfrXa15pP4Mr5rtNpqpVkwrbv1OBw9LNqT2HpEblqQxIguS/89RJ0vgS+vhlCk9SgLyxJDfoG3Q27flEfO+AOSB2gVu8yx4MpTK2jfrgn02wyYDa5WZltKYffnqifgs1ph7lXwm2r1WkD4pSotDn4c3sOt3+21mWB1qiOsTx9cRqxMnJ0RpBV5P7CWgF/vlCbqmfJCxDZEsbNVGsItxwKY19Xf76a6jrMVJ4Lc2oTlR8qruKaD1fVq727K6eMl37dxaFm59b2WoQkwNjXXFd8e6AYg9l+qAwlJMEngkuAgnIr8w6nE3Hn05XpOKQMpfBHirP+0LQ+gANtruKhHzPqJUfvFG5Dt+B6KMkgLyCZfQOfw5HYy/Wg2I4cPPtd8glR81Lm7YBv71LnWdZVkglzJsD390H2ZjWbxYVvQI+r1HtFYIT63xe+Ad/doz4mpp0atGauVfPdWg+3PSIV5ZofcV77KxTsVc/73b1qXfJ3h8DBVWqQ2ZCKPNi8wP0+hw0Orm748cKrDhVVcsucNfVW//+yJYev1mRIwvYzhASY/qKyCLZ/V/tvRVFv0j9MA6MZOl6opgOadVH9XgRQ0xiVqRU1DhRWkO+hBNqSnbkU2k2Unv0KXDoLrv8VotxXnPALSsMVJp2KgtzqhF8KjFD/5utwtBrJp5vdV8rqGWVXU5oBeeb2XDhrHwvav8SBy34ja+wcDk78mUXd3uLCORnkh3VV64SDmq2iIs/1ZHv+hOw6VcGK0uGzieo87Es/Ub/oVh2uwFV8EFqPgqpSNT2aKQQ2zTs8VK9ymuNRdv+upjWrq6pIHfYuyWj4tXDa1N5KT+o8l2h8P23O9lj96b2/9pBbZjm1DRJNQobIfZ2tUh0Ks5SoCZCPXEhTUQDrP1MX9rQc2vC5qtReiLxSz3/cigJVNifWFiPAy3nZmkJEsIELuyUyc+let/sv652C/jhqFwvhM/QmNa3Pxrk1f9v2gCgOFrnvkdc5aqeJVNg1lFTZuf/7DLQaCDYaqLDl4zgcFVQqBtfKPrY6U0yqSmHtrPpP4LDB5q/URTZdr1CDRUMQ9LgaOo9X71HnPqceGxgBSm1KH015Dtrl/+f+Om2VsG8pRDSQB9cYos43L3T/d05yX8+PFV53oMBzmc38cqv0YJ4h5JPVl1WVwPrP1UTIvz2uJiP2pMfVoNHXq8Lh4vDCmVaxZo+HhJj0BJt0J1V6zZcY9TquHtCcODe1fQe2iqJ9QkgTtEoILwlPhRsWo3SZCIYgTCX7GdrC/d93hT5MXbwDRJqcVKc1dCpQarHXBJd6rYYIW5364aYQ1xRhGo26EMcTjU5d0DPhYzUfb0WBOody1oVqcYiFt8CXU2DvX+o9DtA4bVB5OM9lcl8Y+TiMflqd/qPVqXl/GxISVxu8Hil1kLqiXJwyg9t6zlnctVnYMSehF/5NejB9Wd52WHSX+t+7F2M/60FyU87HiYbA/K1ErpkBRfuhz40Q2QKMQWrOyCUv1D9X5/HqYh8gNiSAIW2j+XNHXr3DrhnUnJQwA0b96fPdIzkyiAU3D2Dh2gy+WX+IQKOOKQNS6d8qWiabC/+m1UJUK5QxL1Pa5x7MISGMdITz2pKDFFa4zrH+YouFh3vdQH5kdyr0EVzSQ3E7P/nKnjFEb5tdu2HQPWrvo9OhVv+xlkHXy9yuXgeg08Xwy38gY436pfb812DJ8+rjqtkt8O0d6oKipB4oOhOauM5qoYXsjbD2E/WYNmfDpHlq0Ho0qQNg8lfw08OQs1UNjHtdr5a/NDdQD114Xddm4SSFB7qtH//IeR2JCPZOOUzh2yTA9FXWclj6ivrf+gCyL57L7PVaPl5dQUmVnU6J7Xn07IWkRToJDo2orffdZ6q68nLpS2qPgDEYel2nDqUFhgNq6a/nxqTyRmQQc1cfxGJ3EhVs5PrBLRjVOoS4vx+FUf9zrSHubXYblGbA7sVqkveUftCsV/3E616SFBHETUNbc3nfFLQajdfq/QrhCxR9IDuzy+mW0IZmOh3zbhrAf7/ZzNJd6pfIdnEhnNO9JXmhD/Dg1zv44+sNPDeuC2GBBr5YdYAyi50Qk57rByQyKWYfQd/OVDNH9LtF7UF8q7/65bXN2fDlNTDoTrWn8cAK14bEpanHRLdVezmjWsOq99WSs+4sex0uegslOBbnhW+gXXSXugio2uoPYOs3cO1PR38RTCFqSqSrvlGH1bV6NR2S7vQYjfEnieGBfHZjP55ctJnftubgVKB5VBCPX9iZjomhTd08cYpIgOmrbFVQuA+AvOEvcM9SHX/vrV28szmzhMs+KWHWdX0YHF8nhZA5Rv1Q6HyxepPVB6g32SMSs8cve4L/6IO57oZbqNKaMWqdROauIHzug+pioKEPNN61OeyQsQpmXawmUwdY8ZbazinfQ3SbRnlanVYjOdjEGaFVrJk3JvWgqEKd7xYSaCDabOK7DYf4fUc+ANPmb2Bkhzieubgzep2WlMgg2sUEYCgPhet+hfydsO5TNWk5wK//g0Mb1GHr7+6DMS9C2gQ1AHQ61P9uOUxNkVY93D3sEdjvoacT1FXjtkowGVEK97sGl9XK82DFe3D2kw3n461WnWNTNKmUyCBevrQbhRU27A4nZpOe2FAZMTqTSIDpq0zBkNgTCveRGdqdv/emuz3sv19v5oup/V1zOep0R+8JjG6N6bfHaf7vu/X3haeo3/4bS1kWfH5FbXBZsz0HvroJJs1tOO+mEOKowgINhAXW9t4VV9r48O/aRTCKAr9syeaXLep8y74tIpl5dS8MOj18dpn7ldebF+C4/nd0y2aocymjWqm9hhqdmsuy7WhoMaR2NXj+LojrpA5Zu5PUC4zBaJx2tJ5KVwJsWQCD7oLQhON8FbzMUqouZgqonc8qPAsJMJw28/nF8ZMAszE4neCwqPOWjvEmZHcqJKU0x2q1EmAyodEHqMPahkBW5Xh+3J68coorrUQF6bEpoEGjzp+0W1Fz9KDO09IZsDkc5JRYqLDYCWw3hdisrRi3zKtfMm7wfeqk+cZSlF7bw3GkjNVqrjwJMIVw5XSCowp0AfVretdRZbNj0OnQVa/iOczhVKi0OTw8CiqsDqw2O067FW1wDI6k3tjMiZjyt6NJX1qT76v00C4c539A1N+PQ/OzILINFO1VV4zrA9SexuyNYCnFqgtE6XUDpsz1ao9oXTqDWmZWqwObBUUf4Lm+kM5Ur+Ssw6lgczgw6nRo61yroijkl1kpsdgoKLMSbTYSFWQgJOjYRi+cTgWLw4Gp7nnLcyFjLSx/Q83o0X6sWmWoTgJ6RYHQiEicTrA57fXaJcSZxicDzG3btvHcc8+xefNmDAYDAwcO5MEHHyQyshHnBHqDww7F6bD+CzU5cEx76Hm1ehMyuE88XlBuZXdOKZ8s309ppZ0h7WLo1iyM6GAdiQYzupAEInSeP0z0Wg2Hiqr4fuMhBraO5pfNWQxpFUZb61aiNn8A7c+HoGhyI7oye20RM5fupdzqINCg48o+d3LDxROJXXipOsQF0GMKtDuvEV6cOg6vHPXILjnShKhht6hlENfOgqyNkNANul0BESnql1jUYCskoQVvLN7N6v2FtIwJZkLPZEIC9IQHGQk1QpiziPPT4tic6f7vb2znGMJWvUKVPpiD58/ns7V57M6tpHeCngsGGmj2x13oMv/FYorGFJUC/W+Hbd9ARa6a4SIwSp07Hp5C3pW/sz27jFmrsrD+UsmlZ82nu24vcd9OVgO0iOYwcbbaI/jNHWhtldDlUs/J0ntOqVmkWGVzcLCwgs9XHWBHVindUiK4pHsSzSICyS+3sv5AEXNXH0Cj0TCiQyw7smHrwTzuGJpCjDkATO5X2VvtDg4WVvLl6oNsziymc1IY43s2o1mgHePP/4G6PawZa9RSvdf9gj0slYyiSr5am8Ga/YU0jy7n3M7xpBdU0Cs1kmYRgZhk1bQ4A2kUpaE01KdeVVUVI0eO5NJLL+Wmm26ivLycBx54AK1Wy9tv1y+LdiSHw8G6devo1q0bOt0p/qM+uBo+Pt81Z5xWB1fMoyRhIGU2J1qNhmizEb1OS2G5ldd+28lHy/a5nCYlMoinLupEVIBCpx8nkj7kVYZ/nIndTe6w89LiCQ0w8PmqAwQZdcy4vDv//WYzvZMC+E/z7UT9ehcVw57iucKz+Hh5/RWjl3RP5P7eRox5mwhL7Yo+NL5mMdDxOubXPm8X/F9P9/sCI+CmpY222OdomvT94wX+3n5o2mvwudfP6VRXa88Z51qdS2eEyQvVldMaDRsOFjHxneUuPZRaDTxzcRp9EjQ03/kJ2hVvc/CShYybX0h2ieuXuPjQAOZfEkbMimf5rf3j3LJwv0uBgiCjjrmXp9B58fVUjptF4JcT65dlTBsPiT3Ia3s5j/24l+83ZrnuTgrlvcs7Ee/IUoeYN86DXx+rPeDsp+DASnVOZ10xHdRylWFJ2B1OluzM44ZPVtekVQIw6bXMub4vn67Yz4K1mS4P79sikvE9m5Gbl8vUNiXoUvrW+8LvdCos35vP1R+sdKk+Y9Rp+eSa7vT9ZTya7I1H/nZgwF2s73AXl727ov5rf0ka36zN4OZhrRnQKrpej7Iv8rn3/wk4Ha7hdOFzuWgyMzNp3749t956K0ajkYiICCZOnMiqVauaumkNK82C+de7BpeANXUYmx1J3PLpWgY99zujX13Ca7/tJLu4koOFFfWCS4D0ggp+2JTFvPV55A1/kdjcZbwxrk29G1SL6GAm9kpm4Tq1ykWF1cFzP27j6gHN+WpTIbvMPSEoktzY/sxZ6b4SxlfrMtlui+G8X6P4dIcOxXAKJmGbY6DnNe73jXoCzE08z0oIX1F6COZf6xpcAjis6vbSQ+SWWrjr83X1hr+dCjyxaAsGawnaJc+DpYRm31/NvEktuaZvIhFBBiKDjVzXP5kvx0eR9MPV5PS+n7sXHahX/arC6uDuH3I5dMk8lLWf1A8uQQ0YI1uyNbOgXnAJsDGjhO+3F6PEdgBbuWtwCfDrf9VsEhM+VkdeWo+AS96DyQvUuuVAdkkVd3621iW4BLDYndwzdz3dU+qPcq3YW0CZxc6PuyrIKbXVVDSrK7ukits/XVuvtKHV4eT2LzaR1feR+tcL5ISncaeH1/7Jb7dwZf/m3PHZWrJL3FdXEuJ05nND5C1btmTmzJku23766Sc6dep0XOdxODzPNWoM2vI8NEdWkQiOYUefp7jo4901vY/FlTZm/L6LMkvDtXW/XX+Ixy/oRJEpiujwdM7aNJ1fb3yE7/Y4yC+z0j4hFKNeyz1z11Nlq51DuSO7jJTIIABmb7bSs8UIih1Gt72foM4bKquyk1tq4ZNVmZyblkBkyIm9dtWv+VFfe4MZzdCH0MS2R/PXy+oNP6o1yqgnUJL7q6UbT/Hvr9oxX4OP8vf2g3eu4WR7Lnzl9dOW56Apr5+vFoDSLJTyXAo1Zvbklbs9pMLqIKPUSbIhSK1bXnyA5JI1POT4hannjUETEktEwTKMnz8ChkD2VwVRZct3e66dOWXkWU0kbJzjsb2Wklw+2eI5yfbsf/ZzfloCMbsX159v6XSoOSzN8TDxE1g7ByWmA87guJr7QVZJFaUe7p3pBRXEuimoAPDdhkP0aRGJVV+Ekr0FZ6hr4vW8MovH8rm5pRYKAlJw97W30Nyaffnuv7yXWx3YHU4qrA5ySy3Ehfh+ajS5f6ik59M7fC7ArEtRFF599VUWL17M7Nmzj/6AOjZudDOc0Yg6RTk5su+vqPvNPLWk0G1wl15QQXQDKXOsdic6rUb9pq7VEbh9Ps2xYYh7hEFtonn4q431hrmqVX+7r3KAojMSeJTfssmgw6moz1lpsbJu9/aGH3AUx/raB4cNIeGyoeg1aluzSh1UbfNQ6u0UO9XvH2/z9/bDyV1Dz54epmCcguf2ps4RVhpammKtqqJC03DvmNXudM0KodVh3PIl8Zs+V+dOOh1qHW+tHqvDfZnJajaHU+099cCJ2ptYTaPBpTfU6nBSUlJCZFWZ5w+fsiwozYY1H2PtMplN69YdPpeGiqCGRzecHmZ8WR1OwgMNmKrysekq2bZ5MzZbba+wI7zhSj+eXhaHwXNVNACbQ0Gn1VBZZWHdut0NHutLfOX9fzKa8v4hVD4bYJaVlfHQQw+xefNmZs+eTbt27Y7r8Wlpaaf0W4im9JC68rmi9tt/eXwflv/qfrX0uvQinr0kjS9WH3C7f1j7WLZlldAvSqfOS2oxFM3exfTudD/FGg25HuqJx4cG1PSOTmirx7Dib6JiupOW1IGNGcX1jm8VY+ZgoVo39vy0WOIiQ0mK7nYcV17L4XCwcePGE3rtA4DwE3pW7zqZa/AF/t5+8I1r8JXXT1tyUF2dbXNT29kUgjE8gVhNCDFmE7ll9e8Jeq2G5iFOdWFNtf3LoNUI2Pmzmij9rGlqWqHKQlqGUvvF9ghxoSb0Og3O9mPRrnP/hT8wOIzxncNoE6Hl8k4BBNkKcOoC2Vpi5Ik/CxiTlkByXCQ63UhY/IT7i07uAzmbwRyLISKRbsnxNbsyiqsw6rRuA+GIIAMWm/tIcFi7WNqGKcStmwEXvkmniBYu+zOLqwg06Nyusjeb9EQGuplNFhRJeEQk0WYjeWX1g269VkN4kAGnopAUFUJiy27ur9eH+MLf3sk6Ha7hdOGTAWZ6ejo33HADiYmJzJs374RWj+t0ulP75gpNgDEvw5dX12zSOiwEGXVUWOvftPLLrYQF6OnXMoLle1yDULNJz6S+KWCvIm7Zg7D/b7jkXZh7Fc3zl/BL4HlcM7AF7y917e3TaODes9vy8T/76JxopktAFhTuI3LzJ/zf+AVcNXsT+/NrP6gSwwL479iOTJu3gZgQE5f3TsZkOPm3xCl/7RuBv1+Dv7cfmvYafOb1C4mH0c/Uloyt65zn0ITGE2+t5OkLOzD103X15k7ePrwV0dvfd924/nOY8KF6Xyk+qKY8SuwBmWuI3vIxdwycxCt/uc5T1GjgqbHtaLdjJtpe18C2RVBV5HrepB5gKeXsNiGcnfMBAV/MrMlO0SyiBWkXf4ASk6reY0KbQadxsHm+6zl0Rhh0N3w/DcZ/hDYkwSUlU4zZxP2j2/H09/Xzaj5xYSe+33io3vZmEYEMbxdFcvrXaJL7gjm23u82LjSAx8Z25KEF9Xu9Hhvbkdi4YHXV+z//p658bzcGul9JfFgET1+cxtRZ/9Z73A2DW/L1ukwePq8DsSEm33g/HSOfef+fhNPhGvydz60iLy4u5qKLLqJfv348/fTTaBvI9+ZOk64gs5RBzhZY/AzkbMba9SqmV17IB8vc91L+dm1zzJZsfixK4uMVhyiz2BncJprLeqcQYlRI0RUS9P3tULALet0InS6CfUsocAaTm3w2W7Mr+fDvvWQWVdEpMZSrBjTnzx05NDNrGJtUTvyvt0PLoWraofICspOGk15sZ1dOGbEhJiwOJ+/9tZfeySFM7t+c5OiTK+F1Oqze8/dr8Pf2g6wir6eySE1PtPgZ9V4Q3RaGPqzW8bZXwfYfKY9JY6c1ileWHGJLZinNIgK5vG8KFpud8yMOEjH/Utde0LbnwPBHYdkMNaXa6Gdw5mxFu/YTCnvewdrgwbz+dzYZhZV0SgjingFRJFVux6oxYjQYiYxPRrP8Ldj+PRiDIO1SSB0E4cmw9Vv42c2imKBIuHGJegyohRV2/Q7LXoOKfJTUAWh6X69W90kdoB6nqz9vsajCyoaDxbz6604OFFTQLt7MPaPa0TbOTHGlnS9WpTN/TQYaDVzULYHxXWNJ2Pohpvj2kNIfgt3n2C2ptLHlUAkv/7KdvbkVtIoN5u6RbemQEEpodcL6yiJ1OkFAOOjUL+PlFjs7skt55ZedbD1UQrOIQK7sl0qlzU6LaDOdk8JcEt77Mp98/x+n0+EaThc+F2B++OGHTJ8+ncDAQDRHJNZdu9ZNGbEj+MSbq6oYrBWgN5FpDeSaj1ayPavM5ZD/nZ3MuNJZhKx9FyWxJ3ndbqYqsgMmZzmBobGE/DYNLn4H0EJVIexbCpvmqcNl3a+EwAicVSXkRvbEUllOqN4GVSUopdmEHVqKtstECI4GrQE0qDnk6ryeDmsV+WVVKEBkaAgG/cm/Vj7x2p8kf78Gf28/SIDpUWWRmqXCEKimElMU2LNYHereMJeCwU9Q2PICquwKAQYtFVYHeWVWckvK6RpaTmTBOiIsB9En91HLseqMar1whw2cNpTACCyVZaA40ZtjKLVpsFRVYrSVkFXu4NnfD7EqvYhos4mbhrRkbOcowuyFav5fQxAEhKoFFN4ZBBUF7q/hsk+h/RjXbWW5OB02ckstxMQnoT2WcpCogWaVzUmQUVcbAAJ2h5P8cisaINLoQG8tUUvlBh3bSFhxhZVKm5NAo+64AsPiCgvZeUWEhoWi1agFL8KDfH9hT10+/f4/RqfDNZwufG6I/JprruGaazyksPEXAWHqD5AYBB9f05dtWSX8tDmLaLOJsZ1jSFg9nZC1aplGTea/xGReX/v4UU+qCdqDItUhrDnjIL/OBPHt30OHC9AOvoeIn24js88jzNltY3MB9IqLZ1SLCST++gS6i2ZAiPu6vDpjALGRUhdWCL8RGO6ao7Y8T+1JazWC9K73cOu8HWz8Wq37rdHAuZ3jOa9zAg8v3IrdqdA8KonXLhtD1+QIt6fXAAEBtaMYEUYg2MiqfQ4mzvyH6mmZBwsr+c/Czfy9M46nL0kjMrzOMqSyLM/BJaglI48MMM0xKA4HB3etIzohxf3j3PAUvOl1WuLq1rwOCD7mcwKEBRkJO65HqMwmPbtyD9IqSQIbIcAHA8zTUbzRQnyig6EpKeoHRP4uWPOO5weYY9U65OV5sOoD1+Cy2tZvcPS7jTVdHueqj/fWTHr/fiO8ZNTx+eVPkWYpARK9f0EOB1TkqD0ogeFq74UQ4tSqyINFd5HT/Q6u+WYru3NrR0kUBb7fmEX7uBDemNQDi81BkElPZLCRquJcAjQ2tfyih+HianllFv7z1aaa4LJTYigXdksiLNDAzpxScksqiaybDUMfoI6WuKtjDhDX+WSv2vuqSsBaChp945bIFeIMIwFmY7JVQc42+O1/kPGvGjgOuANaDYNmfeDgyvqP0erV4audv4AhANZ7zjmXbQvk5oXp9VZUllsd3L4oi7lXd8J9/+VJKMmENbPg3w/V4bp2Y+Cse+GIVZlCiEZUdECtGmYpJSuoHbtz00kIC+Chs6LoGmlD57AQEhnHv/lG/vfdVgrLrfRuHsE9w5sTu/lVWP+J+jc77BF11baH4ePSKjvbs0vRauCpi9IoqbLx+cp0ckstdE0Op6jSQaVNLT0LqDksz5oGP9xf/2TBMRDvQwGmrUr9sv/7U+qCp6AoGHC7muRdAk0hTpoEmN5WkgmHNqhpPwIjoMVgNWDcs1hNFfLtHdDzWjj/Zfjo/PorMc9+Wh1G+vZ2OP/V+hU8qmm05DiCKaxwv39ffgUFdoN3A8ySTJgzAbI31W5bPwe2fQs3/gHhzb35bEKccWx2J5nFlfy8OZvNh0rolRrBkLYxJIUHoq2u5FVRoJaPLM+DkHgOlthoHhXE7AsjaPbLVMjdph6nM9Kn1y3cN2gcd3xzgN+357JkZx5fTrqS7tu/hqwN8NlEtURj7+vrlU8E0GsUtBq4ZVhr/t6Vx3d1Vmkv3ZXHst15fHp9X/q1OpxcXauFzherxROWvV6bMzOmPVz6SZOVgHUrexN8MFpdtAPq/fm7e9SFRxe8ps5hF0KcMAkwvak4A2aPg9w6KTSWvwmD7lFv4KsOVyj69wPoOhFuWKym+9izGCU0CU378yAoGj46Tz1u31/QdjSs+7T+c2n1WDT1PxDqsitergRalK7ODVUU2PWr+qMczrG39BU05zzn3ecT4gzidCqsPVDI5PdX1iQrX7g2gxCTns+n9qNTYpi6iGbTfHVVOUBlIc1CDbx8TgzNvrlYXZldzWHFvOJVzhoaS7+W3Vm+Ry368NjvBXzc8w4if5+mHvf7k9DhAohIrdemcIOD0R2i6Z4czv/9vqt+mxX4z9eb+eyGfsSEHB4qD46BwfdBj6vUYXx9oBqsmb0+nnLiyvPh+/tqg8u6ti+CkmkSYApxknyuFrnfslvhnzdcg8tqS1+G1iNBV2dFYvo/anA24Ha46G00Gi0smKoGcdW9llu/gbQJ6tDNkZJ6kBBhxqCrV3ANgNAAPRHBXlzBWLhfrTW85EVY+gpEtoArvgDz4aEkd3nxhBDHLLukiptmr3GphANQarFz+6dryS2tUgPIfz+qDQbtFhJt6aRYd7sGl3WEr3qFW3rULnTZmFFMaWSX2gPsFiitXzscICQogP+MbMb2rFKP7d6VU0Zp1REjKcZAtY1JPSGuo28Fl6B+Kc5sICvJ7sWnri1CnKYkwPSWijxY87Hn/XuXQHLf2n8bAtW8dBqNunxz/1KwlbvmfXPY1G/Zl7wHva6D8FR1qGnMyzD+I6LDgrhjeBu3T/ef8zsSF9JQkbnjUJSuDiWtek8d+io9BCvege/vV4f6QV3oo5G3kxAnKqfUQoGHeth78srVffuWqil32p5TM6Qdvf1TIihS82Jq3HzhLM8l0lSbjU6n1aDTHJGdzlNqIL2JpCAnCSGeB7s0GvWcfkWjBW0DK71NIaeuLUKcpiQi8BbFqQaInljL1BWWULuQp/omFhyL0ut6teqFw6rO3ayWvxs+naCm/xh0J1zxJfS+DkITCDLqubJfKm9f2ZN2cSEEGLR0aRbG7Ov6MLpTHHqdF369Doda+aO0foUMCvdB9ha1l6LXdShBMqQkxImqstev+FWXzaGoweWwR+CHB9Qvnuc+D10vR1eSoab/uWIudLnU9YFBURRZawPAs9tHErF3Ue3+4GgIbqCH0RxPj+QQj0HkoNbRRPhZvkeCoqDd+e73aTRqgQohxEmRANNbjCHQYpjn/akD4dB69eY1+hkIioXgw8PLGg10ugglqScsf0P90Kg7nO50wJ4/IKE7RLjmiYsINnJO53jm3NCXxfcN5aNr+jCoTQxhgV664VcVwOYFnvfv+gU6XgjdLpceTCFOQkJoAHoPQVyISU9EkAGaD4ENX6jzs7V62PEjfDEJ/nwO/pgOn14KMR2g++Saxxb3up2316hVfOJDA3iwXxDBGw6PtuiMMP4jCEnw3DC9gdiIMJ6/pP4K8Gizkccv6OSS6NwvmMww6nEIdZPG7dwXaqf+nAJFFVbyyyxu678L4c9kkY+3BIbB2U/Ce0trV05WS+qhJl7veCG0ORs2fgnr5sCVC8Ck5pB0BsdRdu5bhFamozn4L1z9rbqaMWeLOrTeYSyEe05CHG320nD4kTRadZK+J/pAdZ5oaKLa2ymEOCHRZhO3DGvN67/trLfvofM6EBsaAGUaSF+ullLMWA27f3c9UFHgt8fV+dEbv8TZ4xoyUy4gOKOIZy7uzMDmIcTvXQAth6IkdEXTeZxakvEoJXkDjXrOSUskrVkEX/57gPSCSoa1j2Fw62iSIvw0D25kC7j2FzVY3/4dhCRBj8nqfdZkbvSnzympYtnufD5atg+L3cHYLolc0C2RZv76egpxBAkwvSm6rZqu57cnYc/vYAqFLhOh1XDYtEAd5v5iUu0inoo8l5WKu7LL6NZtOLpWI9RezZT+6ipHbRP+moKioM+NsPAm9/v73eS+F0AIcVyCTHqmDEilTayZV3/dQXpBBW1iQ7j/nHb0SInAoNOqc52DIqHTJeriQU/2/gVTFqE9sJIOqYm82bIFOq0Wu9OJPu56yrpeRV6FjYJyK0HWKqLMSu0qcA+CTXraxofwyJiOOJxOdEcJSv1CeDN19KXLpQ3PyfSy3NIq7p67jr935dds23poO5/8s595N/eXIFOcFiTA9Ca9EeI6wSXvgqVUXVX90yPqsLe7ku+2KvfnqXvjbsrgslqrYdB8sPpNv66256oVh4QQXhEZbGJs10T6t4zC5nBiNGiJqlspJyhSLdbgsEJFvucTlR6Cv1+Hov3Q9TJ0hxcE6bVackstvPrLDj5blV5Toad1rJl3JvekVcyx9dydFsFlXacwuATYeqjUJbisllVSxSfL9nHf6HYY9VJuUvg3H4heTkMBoeqPvQr2/uE+uDQEQZD7msA+JyQexs1UExP/+7E6bN7rWojt4HvpR4Q4BewOJ9klFiqsdkwGHdFmI0HGhm+nTqdCdkkVZRY7Rr0aOJoD6jymIl9Noq4oRAeGQbiHeYDNB6mVvlIGqAUc3EnuCyvehk4XqyMph9kcDtYdKGRIuxgGtommzGJnzvL9rD9YzKT3VvDVLQNICG84v65blYVq4veidHWRYkgChDYwr/MMZnc6+Wxlusf9X63L5LpBLYkLkwBT+DcJMBtTcAz0uEZNrH6ks+5Ty6r5i5B49afFUDWtki/0rArRBPLLLMxfc5D/+30XJVV29FoNF3ZL4r7RbUkIcx+cFVVY+XVrDtN/2EpemRWtBkZ2iOOxsR1pFmZS51p/fRscWqc+ILoNjJ0Bid3VkrF1mWOh3blqyrJ9S9RFgHWFp6rHVOSri33qLBhML6jko2X7anrP4kJN3D68DZ2TwpizIp29eeXHH2CWZqmr2rcsrN0WlgyT5kJsx+M71xlAAzSU1UlT8z9C+LfTbJzDxwSEwrCHYOQTtbV+QxLUD44eV6spR/yNTi/BpThj2RxOvvz3IM98v42SKrUKjN2pMH/NQe76fB355Ra3j1uyM4/7vlxPXpm6ANCpwM9bsrn6/ZXYC/bDB+fUBpcAeTvVWuOFe903JChSnY5z7c+Q2EPdpjOoPZbnvwLbvoPrflGDzcMOFVUyeeYKl6HZ7BIL/1m4iR4pETSPCmJPXgOp1tyxW+Dv11yDS4DiA/DxBVB88PjOdwbQabVc3rd+1aRqE3o2I9KbRTKEaCISKTQ2cywMuA3SxqvzpvQmNch0lxBZCOHTckqq3JZMBFixt4CcEovrnEnUCj3P/bDN7WOSwk2w4XM1T+6RnHb462UY+yoYg+vvNwRAs14waR6KpQSbzYYhIBCNU1GLMQSEuhy+MaOYzGL3877fXbKHy/uk0CrGzfM0pCwb/v3Q/b7yXDVQ9qX64z6iXZyZYe1jWbzNtfpSs4hAruiboi7oEsLPSYB5Kmh1EJbU1K0QQpykUoudMoub+tWH7ckto0OCa2BXaXOQUVTp9vi0WAP6/Us9P+HBleqCQXcBZrXgKJwB4Wxct45u3Vqh07mfu7d8j+dFQduzS2kZY6ZF9HEGmPYqsLm/NkAtxiDqiQkJ4LlxaazZX8RHy/ZSZXNyUfckRnWIIyniBObACuGDJMAUQohjFGjQodWAp5zY0W5S/Rh0GoKMOiqs9fPEZpUrOEOTPc9VComvrQB2klKjPAePkcFGWscGE+9hDqlHhkAICFczZrgT0/74zncGiQ0J4JzO8QxqHY3d6SQs0IBGRrbEaUT64YUQ4hhFmY2M7uR+cV6M2USKm/yFMWYTk/q6L5KweFchzr4ecswCDL4XAsNPpKn1DG0Xg0HnPoC5flALUiKPs/cSwJwAg+5xvy+qlZrMXDTIHKAnPMgowaU47UiAKYQQx8hsMvDo+R3pkuQ6DB4VbOST6/oQH1a/t9Go13H94JYMaRNzxLn0vHNlLzRRLWHMK665GDUaGHQvJPXyWtsTwgJ4/+reBBhcb/vnpcUzoVczj7XGG6TTQ7crYMgDam9mtdSBaqWyED/KlCGE8CoZIhdCiOOQGB7IB1P6kFlcya6cMhLCAkiNCiYhLMBjL1RcaACvXNaV7BIL2w6VEGk20jrGTFxoADqdFrpOVAsaZG1UK30ldlPTnB2xUOdkGPU6+rWM5Nd7hrAzu5SiChudksKIMZuIOJlVy+YYGHwPdJukDpUbgiAo2n/y/AohGoUEmEIIcZyiQ0xEh5jo0iz8mB8TGWwiMthUbxEQoC7iiWzR6EPKRr2OZhFB3i9FqA+AiFTAc/odIcSZRYbIhRBCCCGEV0mAKYQQQgghvEoCTCGEEEII4VWn3RxMRVET1Dkc9XPO+bLq9vpbu+uSa2h6/t5+8N41aLXa4079IvePpuHv7Qe5Bl/RlPcP4UqjVN9RTxNWq5WNGzc2dTOEEE2sW7duHqvaeCL3DyEEnNj9Q7g67QJMp9OJ3W6Xbx9CnOFO5B4g9w8hBEgPpjecdgGmEEIIIYRoWrLIRwghhBBCeJUEmEIIIYQQwqskwBRCCCGEEF4lAaYQQgghhPAqCTCFEEIIIYRXSYAphBBCCCG8SgJMIYQQQgjhVRJgNqGCggJGjRrFihUraratX7+eCRMm0L17d4YPH86XX37ZhC10b9u2bVxzzTX06dOHgQMHMm3aNAoKCgD/aD/AP//8w4QJE+jRowcDBw7kySefpKqqCvCfa6jmcDiYPHkyDz74YM02f7mG77//no4dO9K9e/ean/vvvx/wn2toCv567wC5f/gauX+IRqOIJrF69Wpl5MiRStu2bZXly5criqIoRUVFSp8+fZTZs2crNptNWbZsmdK9e3dl/fr1TdzaWpWVlcrAgQOV1157TbFYLEpBQYFyww03KFOnTvWL9iuKouTn5ytpaWnK/PnzFYfDoWRnZyvnn3++8tprr/nNNdT16quvKu3bt1ceeOABRVH8431Ubfr06cqDDz5Yb7s/XcOp5q/3DkWR+4cvkvuHaCzSg9kEvvrqK+677z7uvvtul+0///wz4eHhTJo0Cb1eT//+/Rk7dixz5sxpopbWl5mZSfv2/9++3YY02bZxAP+rtZSESBTBF4KwLWyUqwuKapkG69UvSxSsCIM+RQuqVaQlvVgRpkJfKkUJCoKsCEWw6EULlyUNikSyyOYqLWaKK7ZJnveHB/e42+47H7vcdvb8fyDKeZ1zx8Hwfx1e2zUfu3btgkajwezZs5Gfn49nz55JUT8AxMXFobW1FWazGRERERgYGIDX60VcXJw0PYyy2Wy4c+cOTCaTf02mHl6+fAm9Xj9uXaYegknm7ACYH+GG+UFTiQNmCKxcuRJ3797Fhg0bAta7urqg1WoD1tLS0tDZ2RnM8v7V3LlzUV1djaioKP9aU1MTFixYIEX9o2JjYwEAmZmZyMnJQUJCAsxms1Q9uFwuFBUV4dy5c4iJifGvy9LDyMgIXr16hYcPHyIrKwurVq3CkSNHMDg4KE0PwSZzdgDMj3DC/KCpxgEzBBISEjBt2rRx69++fQv4QweA6OhofP/+PVil/U+EEKioqMCDBw9QVFQkXf3Af/7TbWlpQWRkJCwWizQ9jIyMwGq1orCwEPPnzw84JksP/f39SE9Px9q1a9HY2Ihr166hu7sbVqtVmh6C7U/JDoD5EUrMDwoGDphhJCYmxv9B8VEejwczZ84MUUX/zO12w2KxoL6+HleuXIFOp5Oq/lHR0dFITEyE1WrFo0ePpOnh4sWL0Gg02LZt27hjsvQQHx+Pq1evIjc3FzExMUhKSoLVakVLSwuEEFL0EC5kec1HMT9Ci/lBwcABM4xotVp0dXUFrL158wbz5s0LUUU/53A4sHnzZrjdbtTV1UGn0wGQp/7nz59j3bp18Pl8/jWfz4fp06cjLS1Nih5u376Np0+fQlEUKIqChoYGNDQ0QFEUaV6Hzs5OlJWVQQjhX/P5fIiMjMTChQul6CFcyPKaA8yPcMD8oKAI5R1GJALuBO3v7xeKooja2lrh8/mEzWYTBoNB2Gy2EFf5XwMDA2L16tXi0KFD4sePHwHHZKhfCCHcbrfIzMwUp06dEl6vVzidTpGbmytKSkqk6eHvDh486L8LVJYePn36JDIyMsSlS5fE8PCw+PDhg8jLyxOHDx+WpodQki07hGB+hCvmB00FDpghNvYkIYQQL168EPn5+cJgMIg1a9aIGzduhLC68WpqaoRWqxWLFi0SGRkZAV9ChH/9o7q6ukRhYaFQFEVkZWWJ8vJy4fV6hRDy9DDW2BOEEPL00NbW5q9z2bJl4sSJE8Lj8Qgh5OkhVGTLDiGYH+GK+UFTIUKIMdeXiYiIiIh+Ez+DSURERESq4oBJRERERKrigElEREREquKASURERESq4oBJRERERKrigElEREREquKASURERESq4oBJQef1etHb2zuhvd3d3VNbDBFJhflBJAcOmBR0BQUFaG1t/eW+jo4ObNq0acK/Nzs7Gzdv3pzQXp1Oh7a2tp8ea29vh8FgAAA4nU7odDo4nc5fPo6Iph7zg0gOHDAp6L5+/TqhfUNDQxgeHp7iasZTFAV2uz3oz0tEv8b8IJIDB0wKqh07duDjx48oKSnB8ePH0d7eji1btkBRFGRnZ6OyshI+nw89PT3YuXMnAMBgMMBut8PtdqO4uBgmkwkZGRkwGo24cOHCpGt5/Pgx1q9fj6VLl8JiseDLly8AgLa2Nuh0OlX6JSL1MD+I5MEBk4KqpqYGSUlJOHbsGLZu3YrCwkKYTCa0traitrYW9+/fx9mzZ5GamoqqqioAgN1uh8FgQFlZGZxOJ+rq6mC321FcXIyKigq8f/9+UrU0Nzejuroa9+7dw/DwMPbv369mq0SkMuYHkTw4YFLI1NfXQ6fTYfv27dBoNJgzZw727duH69evY2RkZNz+3bt3o7KyErGxsejt7cWMGTMAAJ8/f57U81ssFiQnJyM2NhYHDhzAkydP0NfX91s9EVFwMD+Iwtu0UBdA/79cLhdSU1MD1lJSUuDxeOByuX66v7S0FB0dHUhJSYFerweAn55MJiIlJcX/c1JSEgDwBEEkCeYHUXjjFUwKmeTkZDgcjoA1h8MBjUaDWbNmjdu/Z88e6PV62Gw23Lp1C3v37v2t5x975aKnpwdA4EmDiMIX84MovHHApKDTaDQYGhrCxo0b8fbtW1y+fBk+nw8OhwPl5eXIycmBRqPxv4U1NDTk/x4dHY2oqCj09/fj5MmTADDpO0XPnz+Pvr4+DA4O4syZMzCZTIiLi1OnSSKaEswPIjlwwKSgy83NRUVFBSorK1FdXY2mpiYsX74cBQUFWLFiBY4ePQoA0Gq1WLJkCYxGI5qbm3H69Gk0NjZi8eLFMJvNSExMRHp6Ol6/fj2pOoxGI/Ly8mAymRAfH4/S0lI12ySiKcD8IJJDhBBChLoIIiIiIvpz8AomEREREamKd5HTH8dsNuPdu3f/eLyqqgqKogSxIiKSBfODSB18i5yIiIiIVMW3yImIiIhIVRwwiYiIiEhVHDCJiIiISFUcMImIiIhIVRwwiYiIiEhVHDCJiIiISFUcMImIiIhIVRwwiYiIiEhVHDCJiIiISFV/Aa7uypqr/ABWAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 672.625x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumma ajan mukaan. Värierottelu tupakoinnin mukaan.\n",
    "sns.relplot(data=tips, x='total_bill', y='tip', col='time', hue='smoker', kind='scatter', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## jointplot\n",
    "\n",
    "Havainnollistaa kahden määrällisen muuttujan välisen riippuvuuden ja esittää samalla kummankin muuttujan jakaumat: http://seaborn.pydata.org/generated/seaborn.jointplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x242668d8e10>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumman ja tipin välinen riippuvuus\n",
    "sns.jointplot(data=tips, x='total_bill', y='tip', kind='reg', height=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x24267deae50>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Värierottelu ajan mukaan\n",
    "sns.jointplot(data=tips, x='total_bill', y='tip', hue='time', height=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lisätietoa\n",
    "\n",
    "Lisätietoa löydät kaaviolaji-kohtaisista muistioistani:\n",
    "\n",
    "* countplot ja catplot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_count.ipynb \n",
    "* histplot ja displot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_hist.ipynb \n",
    "* barplot ja catplot sns.bar https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_bar.ipynb  \n",
    "* boxplot ja catplot sns.box https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_box.ipynb \n",
    "* scatterplot, jointplot, pairplot ja rel plotsns.scatter https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_scatter.ipynb "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}