{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[prev: Matplotlib](matplotlib.ipynb) | [home](../index.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pandas\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://pandas.pydata.org/\n",
    "\n",
    "Pandas permet de travailler facilement avec certains types de données:\n",
    "\n",
    " - données tabulaires. ex : table SQL ou feuille Excel.\n",
    " - séries temporelles\n",
    " - et d'autres ...\n",
    " \n",
    "Les données peuvent être chargées depuis différentes sources (csv, excel, sql, ...) et sont exposées principalement par deux structures de données : `Series` (1D) et `DataFrame` (2D).\n",
    "\n",
    "Pandas apporte en particulier une réponse pour:\n",
    "\n",
    "  - la gestion des dates\n",
    "  - la gestion des données manquantes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "note: les données utilisées sont issues de https://public.opendatasoft.com/explore/dataset/donnees-synop-essentielles-omm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID OMM station</th>\n",
       "      <th>Date</th>\n",
       "      <th>Pression au niveau mer</th>\n",
       "      <th>Variation de pression en 3 heures</th>\n",
       "      <th>Type de tendance barométrique</th>\n",
       "      <th>Direction du vent moyen 10 mn</th>\n",
       "      <th>Vitesse du vent moyen 10 mn</th>\n",
       "      <th>Température</th>\n",
       "      <th>Point de rosée</th>\n",
       "      <th>Humidité</th>\n",
       "      <th>...</th>\n",
       "      <th>Type nuage 3</th>\n",
       "      <th>Hauteur de base 3</th>\n",
       "      <th>Nébulosité couche nuageuse 4</th>\n",
       "      <th>Type nuage 4</th>\n",
       "      <th>Hauteur de base 4</th>\n",
       "      <th>Coordonnees</th>\n",
       "      <th>Nom</th>\n",
       "      <th>Type de tendance barométrique.1</th>\n",
       "      <th>Temps passé 1.1</th>\n",
       "      <th>Temps présent.1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-08 15:00:00+00:00</td>\n",
       "      <td>101380</td>\n",
       "      <td>-130.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>298.65</td>\n",
       "      <td>285.45</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-09 18:00:00+00:00</td>\n",
       "      <td>102000</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>289.45</td>\n",
       "      <td>286.75</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2940.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-10 06:00:00+00:00</td>\n",
       "      <td>102500</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>285.85</td>\n",
       "      <td>284.25</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-15 15:00:00+00:00</td>\n",
       "      <td>102030</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>298.05</td>\n",
       "      <td>285.95</td>\n",
       "      <td>47</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-18 03:00:00+00:00</td>\n",
       "      <td>102440</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>285.65</td>\n",
       "      <td>283.15</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID OMM station                      Date  Pression au niveau mer  \\\n",
       "0            7240 2018-08-08 15:00:00+00:00                  101380   \n",
       "1            7240 2018-08-09 18:00:00+00:00                  102000   \n",
       "2            7240 2018-08-10 06:00:00+00:00                  102500   \n",
       "3            7240 2018-08-15 15:00:00+00:00                  102030   \n",
       "4            7240 2018-08-18 03:00:00+00:00                  102440   \n",
       "\n",
       "   Variation de pression en 3 heures  Type de tendance barométrique  \\\n",
       "0                             -130.0                            7.0   \n",
       "1                              200.0                            2.0   \n",
       "2                              120.0                            3.0   \n",
       "3                             -150.0                            8.0   \n",
       "4                               10.0                            0.0   \n",
       "\n",
       "   Direction du vent moyen 10 mn  Vitesse du vent moyen 10 mn  Température  \\\n",
       "0                          250.0                          4.0       298.65   \n",
       "1                          250.0                          2.9       289.45   \n",
       "2                          250.0                          2.3       285.85   \n",
       "3                          320.0                          2.1       298.05   \n",
       "4                          330.0                          0.7       285.65   \n",
       "\n",
       "   Point de rosée  Humidité  ...  Type nuage 3 Hauteur de base 3  \\\n",
       "0          285.45        44  ...           NaN               NaN   \n",
       "1          286.75        84  ...           NaN            2940.0   \n",
       "2          284.25        90  ...           NaN               NaN   \n",
       "3          285.95        47  ...           NaN               NaN   \n",
       "4          283.15        85  ...           NaN               NaN   \n",
       "\n",
       "  Nébulosité couche nuageuse 4  Type nuage 4  Hauteur de base 4  \\\n",
       "0                          NaN           NaN                NaN   \n",
       "1                          NaN           NaN                NaN   \n",
       "2                          NaN           NaN                NaN   \n",
       "3                          NaN           NaN                NaN   \n",
       "4                          NaN           NaN                NaN   \n",
       "\n",
       "         Coordonnees    Nom  Type de tendance barométrique.1  Temps passé 1.1  \\\n",
       "0  47.4445, 0.727333  TOURS                              7.0              NaN   \n",
       "1  47.4445, 0.727333  TOURS                              2.0              NaN   \n",
       "2  47.4445, 0.727333  TOURS                              3.0              NaN   \n",
       "3  47.4445, 0.727333  TOURS                              8.0              NaN   \n",
       "4  47.4445, 0.727333  TOURS                              0.0              NaN   \n",
       "\n",
       "   Temps présent.1  \n",
       "0                0  \n",
       "1                0  \n",
       "2                0  \n",
       "3                0  \n",
       "4                0  \n",
       "\n",
       "[5 rows x 64 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"donnees-synop-essentielles-omm.csv\", sep=';')\n",
    "df.Date = pd.to_datetime(df.Date, utc=True)\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 26071 entries, 0 to 26070\n",
      "Data columns (total 64 columns):\n",
      " #   Column                                                     Non-Null Count  Dtype              \n",
      "---  ------                                                     --------------  -----              \n",
      " 0   ID OMM station                                             26071 non-null  int64              \n",
      " 1   Date                                                       26071 non-null  datetime64[ns, UTC]\n",
      " 2   Pression au niveau mer                                     26071 non-null  int64              \n",
      " 3   Variation de pression en 3 heures                          26062 non-null  float64            \n",
      " 4   Type de tendance barométrique                              26062 non-null  float64            \n",
      " 5   Direction du vent moyen 10 mn                              26036 non-null  float64            \n",
      " 6   Vitesse du vent moyen 10 mn                                26037 non-null  float64            \n",
      " 7   Température                                                26071 non-null  float64            \n",
      " 8   Point de rosée                                             26071 non-null  float64            \n",
      " 9   Humidité                                                   26071 non-null  int64              \n",
      " 10  Visibilité horizontale                                     26069 non-null  float64            \n",
      " 11  Temps présent                                              25999 non-null  object             \n",
      " 12  Temps passé 1                                              7958 non-null   object             \n",
      " 13  Temps passé 2                                              7114 non-null   float64            \n",
      " 14  Nebulosité totale                                          19664 non-null  float64            \n",
      " 15  Nébulosité  des nuages de l' étage inférieur               18503 non-null  float64            \n",
      " 16  Hauteur de la base des nuages de l'étage inférieur         18511 non-null  float64            \n",
      " 17  Type des nuages de l'étage inférieur                       9864 non-null   float64            \n",
      " 18  Type des nuages de l'étage moyen                           8899 non-null   float64            \n",
      " 19  Type des nuages de l'étage supérieur                       8655 non-null   float64            \n",
      " 20  Pression station                                           26071 non-null  int64              \n",
      " 21  Niveau barométrique                                        0 non-null      float64            \n",
      " 22  Géopotentiel                                               0 non-null      float64            \n",
      " 23  Variation de pression en 24 heures                         11702 non-null  float64            \n",
      " 24  Température minimale sur 12 heures                         6514 non-null   float64            \n",
      " 25  Température minimale sur 24 heures                         0 non-null      float64            \n",
      " 26  Température maximale sur 12 heures                         6514 non-null   float64            \n",
      " 27  Température maximale sur 24 heures                         0 non-null      float64            \n",
      " 28  Température minimale du sol sur 12 heures                  13485 non-null  float64            \n",
      " 29  Méthode de mesure Température du thermomètre mouillé       0 non-null      float64            \n",
      " 30  Température du thermomètre mouillé                         0 non-null      float64            \n",
      " 31  Rafale sur les 10 dernières minutes                        11840 non-null  float64            \n",
      " 32  Rafales sur une période                                    26007 non-null  float64            \n",
      " 33  Periode de mesure de la rafale                             26051 non-null  float64            \n",
      " 34  Etat du sol                                                12572 non-null  float64            \n",
      " 35  Hauteur totale de la couche de neige, glace, autre au sol  15887 non-null  float64            \n",
      " 36  Hauteur de la neige fraîche                                10499 non-null  float64            \n",
      " 37  Periode de mesure de la neige fraiche                      9543 non-null   float64            \n",
      " 38  Précipitations dans la dernière heure                      26007 non-null  float64            \n",
      " 39  Précipitations dans les 3 dernières heures                 26013 non-null  float64            \n",
      " 40  Précipitations dans les 6 dernières heures                 15246 non-null  float64            \n",
      " 41  Précipitations dans les 12 dernières heures                15154 non-null  float64            \n",
      " 42  Précipitations dans les 24 dernières heures                13254 non-null  float64            \n",
      " 43  Phénomène spécial 1                                        14283 non-null  float64            \n",
      " 44  Phénomène spécial 2                                        14273 non-null  float64            \n",
      " 45  Phénomène spécial 3                                        8318 non-null   float64            \n",
      " 46  Phénomène spécial 4                                        61 non-null     float64            \n",
      " 47  Nébulosité couche nuageuse 1                               15269 non-null  float64            \n",
      " 48  Type nuage 1                                               9358 non-null   float64            \n",
      " 49  Hauteur de base 1                                          14635 non-null  float64            \n",
      " 50  Nébulosité couche nuageuse 2                               6281 non-null   float64            \n",
      " 51  Type nuage 2                                               3490 non-null   float64            \n",
      " 52  Hauteur de base 2                                          6138 non-null   float64            \n",
      " 53  Nébulosité couche nuageuse 3                               1622 non-null   float64            \n",
      " 54  Type nuage 3                                               516 non-null    float64            \n",
      " 55  Hauteur de base 3                                          1622 non-null   float64            \n",
      " 56  Nébulosité couche nuageuse 4                               2 non-null      float64            \n",
      " 57  Type nuage 4                                               203 non-null    float64            \n",
      " 58  Hauteur de base 4                                          2 non-null      float64            \n",
      " 59  Coordonnees                                                26071 non-null  object             \n",
      " 60  Nom                                                        26071 non-null  object             \n",
      " 61  Type de tendance barométrique.1                            26062 non-null  float64            \n",
      " 62  Temps passé 1.1                                            7958 non-null   object             \n",
      " 63  Temps présent.1                                            25999 non-null  object             \n",
      "dtypes: datetime64[ns, UTC](1), float64(53), int64(4), object(6)\n",
      "memory usage: 12.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID OMM station</th>\n",
       "      <th>Pression au niveau mer</th>\n",
       "      <th>Variation de pression en 3 heures</th>\n",
       "      <th>Type de tendance barométrique</th>\n",
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       "      <th>Nébulosité couche nuageuse 2</th>\n",
       "      <th>Type nuage 2</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>26071.0</td>\n",
       "      <td>26071.000000</td>\n",
       "      <td>26062.000000</td>\n",
       "      <td>26062.000000</td>\n",
       "      <td>26036.000000</td>\n",
       "      <td>26037.000000</td>\n",
       "      <td>26071.000000</td>\n",
       "      <td>26071.000000</td>\n",
       "      <td>26071.000000</td>\n",
       "      <td>26069.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>6281.000000</td>\n",
       "      <td>3490.000000</td>\n",
       "      <td>6138.000000</td>\n",
       "      <td>1622.000000</td>\n",
       "      <td>516.000000</td>\n",
       "      <td>1622.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>203.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>26062.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7240.0</td>\n",
       "      <td>101727.889226</td>\n",
       "      <td>0.034533</td>\n",
       "      <td>4.338654</td>\n",
       "      <td>183.604624</td>\n",
       "      <td>3.326124</td>\n",
       "      <td>285.248964</td>\n",
       "      <td>280.782876</td>\n",
       "      <td>76.787657</td>\n",
       "      <td>26243.515670</td>\n",
       "      <td>...</td>\n",
       "      <td>6.078013</td>\n",
       "      <td>4.205731</td>\n",
       "      <td>2605.171065</td>\n",
       "      <td>6.835388</td>\n",
       "      <td>4.695736</td>\n",
       "      <td>2666.134402</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.216749</td>\n",
       "      <td>4350.000000</td>\n",
       "      <td>4.338654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.0</td>\n",
       "      <td>892.362431</td>\n",
       "      <td>121.018307</td>\n",
       "      <td>2.697870</td>\n",
       "      <td>105.004084</td>\n",
       "      <td>1.848995</td>\n",
       "      <td>7.135546</td>\n",
       "      <td>5.411169</td>\n",
       "      <td>17.055975</td>\n",
       "      <td>17644.988344</td>\n",
       "      <td>...</td>\n",
       "      <td>1.695055</td>\n",
       "      <td>2.609169</td>\n",
       "      <td>2263.468510</td>\n",
       "      <td>1.210954</td>\n",
       "      <td>3.110655</td>\n",
       "      <td>2028.994254</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.821924</td>\n",
       "      <td>2333.452378</td>\n",
       "      <td>2.697870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>7240.0</td>\n",
       "      <td>97010.000000</td>\n",
       "      <td>-940.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>261.850000</td>\n",
       "      <td>258.150000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2700.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7240.0</td>\n",
       "      <td>101230.000000</td>\n",
       "      <td>-70.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>280.150000</td>\n",
       "      <td>277.050000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>12000.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>990.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1230.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3525.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>7240.0</td>\n",
       "      <td>101770.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>3.100000</td>\n",
       "      <td>284.950000</td>\n",
       "      <td>281.150000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>24000.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1680.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1800.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>4350.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7240.0</td>\n",
       "      <td>102300.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>270.000000</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>290.050000</td>\n",
       "      <td>284.850000</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>35870.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>3480.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>3300.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>5175.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7240.0</td>\n",
       "      <td>104290.000000</td>\n",
       "      <td>1200.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>309.850000</td>\n",
       "      <td>294.450000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>75000.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>8000.000000</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>6000.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ID OMM station  Pression au niveau mer  \\\n",
       "count         26071.0            26071.000000   \n",
       "mean           7240.0           101727.889226   \n",
       "std               0.0              892.362431   \n",
       "min            7240.0            97010.000000   \n",
       "25%            7240.0           101230.000000   \n",
       "50%            7240.0           101770.000000   \n",
       "75%            7240.0           102300.000000   \n",
       "max            7240.0           104290.000000   \n",
       "\n",
       "       Variation de pression en 3 heures  Type de tendance barométrique  \\\n",
       "count                       26062.000000                   26062.000000   \n",
       "mean                            0.034533                       4.338654   \n",
       "std                           121.018307                       2.697870   \n",
       "min                          -940.000000                       0.000000   \n",
       "25%                           -70.000000                       2.000000   \n",
       "50%                             0.000000                       4.000000   \n",
       "75%                            70.000000                       7.000000   \n",
       "max                          1200.000000                       8.000000   \n",
       "\n",
       "       Direction du vent moyen 10 mn  Vitesse du vent moyen 10 mn  \\\n",
       "count                   26036.000000                 26037.000000   \n",
       "mean                      183.604624                     3.326124   \n",
       "std                       105.004084                     1.848995   \n",
       "min                         0.000000                     0.000000   \n",
       "25%                        80.000000                     2.100000   \n",
       "50%                       200.000000                     3.100000   \n",
       "75%                       270.000000                     4.500000   \n",
       "max                       360.000000                    17.500000   \n",
       "\n",
       "        Température  Point de rosée      Humidité  Visibilité horizontale  \\\n",
       "count  26071.000000    26071.000000  26071.000000            26069.000000   \n",
       "mean     285.248964      280.782876     76.787657            26243.515670   \n",
       "std        7.135546        5.411169     17.055975            17644.988344   \n",
       "min      261.850000      258.150000     17.000000               30.000000   \n",
       "25%      280.150000      277.050000     66.000000            12000.000000   \n",
       "50%      284.950000      281.150000     81.000000            24000.000000   \n",
       "75%      290.050000      284.850000     91.000000            35870.000000   \n",
       "max      309.850000      294.450000    100.000000            75000.000000   \n",
       "\n",
       "       ...  Nébulosité couche nuageuse 2  Type nuage 2  Hauteur de base 2  \\\n",
       "count  ...                   6281.000000   3490.000000        6138.000000   \n",
       "mean   ...                      6.078013      4.205731        2605.171065   \n",
       "std    ...                      1.695055      2.609169        2263.468510   \n",
       "min    ...                      1.000000      0.000000         180.000000   \n",
       "25%    ...                      5.000000      3.000000         990.000000   \n",
       "50%    ...                      7.000000      6.000000        1680.000000   \n",
       "75%    ...                      7.000000      6.000000        3480.000000   \n",
       "max    ...                      8.000000      9.000000        8000.000000   \n",
       "\n",
       "       Nébulosité couche nuageuse 3  Type nuage 3  Hauteur de base 3  \\\n",
       "count                   1622.000000    516.000000        1622.000000   \n",
       "mean                       6.835388      4.695736        2666.134402   \n",
       "std                        1.210954      3.110655        2028.994254   \n",
       "min                        1.000000      0.000000         360.000000   \n",
       "25%                        6.000000      3.000000        1230.000000   \n",
       "50%                        7.000000      6.000000        1800.000000   \n",
       "75%                        8.000000      8.000000        3300.000000   \n",
       "max                        8.000000      9.000000        8000.000000   \n",
       "\n",
       "       Nébulosité couche nuageuse 4  Type nuage 4  Hauteur de base 4  \\\n",
       "count                           2.0    203.000000           2.000000   \n",
       "mean                            6.0      8.216749        4350.000000   \n",
       "std                             0.0      0.821924        2333.452378   \n",
       "min                             6.0      0.000000        2700.000000   \n",
       "25%                             6.0      8.000000        3525.000000   \n",
       "50%                             6.0      8.000000        4350.000000   \n",
       "75%                             6.0      9.000000        5175.000000   \n",
       "max                             6.0      9.000000        6000.000000   \n",
       "\n",
       "       Type de tendance barométrique.1  \n",
       "count                     26062.000000  \n",
       "mean                          4.338654  \n",
       "std                           2.697870  \n",
       "min                           0.000000  \n",
       "25%                           2.000000  \n",
       "50%                           4.000000  \n",
       "75%                           7.000000  \n",
       "max                           8.000000  \n",
       "\n",
       "[8 rows x 57 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(26071, 64)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>ID OMM station</th>\n",
       "      <th>Date</th>\n",
       "      <th>Pression au niveau mer</th>\n",
       "      <th>Variation de pression en 3 heures</th>\n",
       "      <th>Type de tendance barométrique</th>\n",
       "      <th>Direction du vent moyen 10 mn</th>\n",
       "      <th>Vitesse du vent moyen 10 mn</th>\n",
       "      <th>Température</th>\n",
       "      <th>Point de rosée</th>\n",
       "      <th>Humidité</th>\n",
       "      <th>...</th>\n",
       "      <th>Type nuage 3</th>\n",
       "      <th>Hauteur de base 3</th>\n",
       "      <th>Nébulosité couche nuageuse 4</th>\n",
       "      <th>Type nuage 4</th>\n",
       "      <th>Hauteur de base 4</th>\n",
       "      <th>Coordonnees</th>\n",
       "      <th>Nom</th>\n",
       "      <th>Type de tendance barométrique.1</th>\n",
       "      <th>Temps passé 1.1</th>\n",
       "      <th>Temps présent.1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7240</td>\n",
       "      <td>2012-04-06 15:00:00+00:00</td>\n",
       "      <td>100910</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>287.25</td>\n",
       "      <td>279.85</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>7240</td>\n",
       "      <td>2012-04-13 03:00:00+00:00</td>\n",
       "      <td>100610</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>276.75</td>\n",
       "      <td>274.65</td>\n",
       "      <td>86</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>7240</td>\n",
       "      <td>2012-09-11 21:00:00+00:00</td>\n",
       "      <td>101950</td>\n",
       "      <td>170.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>287.65</td>\n",
       "      <td>282.05</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Nuages couvrant plus de la moitié du ciel pend...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ID OMM station                      Date  Pression au niveau mer  \\\n",
       "50            7240 2012-04-06 15:00:00+00:00                  100910   \n",
       "51            7240 2012-04-13 03:00:00+00:00                  100610   \n",
       "52            7240 2012-09-11 21:00:00+00:00                  101950   \n",
       "\n",
       "    Variation de pression en 3 heures  Type de tendance barométrique  \\\n",
       "50                             -200.0                            8.0   \n",
       "51                              -50.0                            6.0   \n",
       "52                              170.0                            1.0   \n",
       "\n",
       "    Direction du vent moyen 10 mn  Vitesse du vent moyen 10 mn  Température  \\\n",
       "50                           10.0                          4.6       287.25   \n",
       "51                          270.0                          1.5       276.75   \n",
       "52                          320.0                          2.6       287.65   \n",
       "\n",
       "    Point de rosée  Humidité  ...  Type nuage 3 Hauteur de base 3  \\\n",
       "50          279.85        61  ...           NaN               NaN   \n",
       "51          274.65        86  ...           NaN               NaN   \n",
       "52          282.05        69  ...           NaN               NaN   \n",
       "\n",
       "   Nébulosité couche nuageuse 4  Type nuage 4  Hauteur de base 4  \\\n",
       "50                          NaN           NaN                NaN   \n",
       "51                          NaN           NaN                NaN   \n",
       "52                          NaN           NaN                NaN   \n",
       "\n",
       "          Coordonnees    Nom  Type de tendance barométrique.1  \\\n",
       "50  47.4445, 0.727333  TOURS                              8.0   \n",
       "51  47.4445, 0.727333  TOURS                              6.0   \n",
       "52  47.4445, 0.727333  TOURS                              1.0   \n",
       "\n",
       "                                      Temps passé 1.1  Temps présent.1  \n",
       "50                                                NaN               10  \n",
       "51                                                NaN                1  \n",
       "52  Nuages couvrant plus de la moitié du ciel pend...                2  \n",
       "\n",
       "[3 rows x 64 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[50:53]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID OMM station', 'Date', 'Pression au niveau mer',\n",
       "       'Variation de pression en 3 heures', 'Type de tendance barométrique',\n",
       "       'Direction du vent moyen 10 mn', 'Vitesse du vent moyen 10 mn',\n",
       "       'Température', 'Point de rosée', 'Humidité', 'Visibilité horizontale',\n",
       "       'Temps présent', 'Temps passé 1', 'Temps passé 2', 'Nebulosité totale',\n",
       "       'Nébulosité  des nuages de l' étage inférieur',\n",
       "       'Hauteur de la base des nuages de l'étage inférieur',\n",
       "       'Type des nuages de l'étage inférieur',\n",
       "       'Type des nuages de l'étage moyen',\n",
       "       'Type des nuages de l'étage supérieur', 'Pression station',\n",
       "       'Niveau barométrique', 'Géopotentiel',\n",
       "       'Variation de pression en 24 heures',\n",
       "       'Température minimale sur 12 heures',\n",
       "       'Température minimale sur 24 heures',\n",
       "       'Température maximale sur 12 heures',\n",
       "       'Température maximale sur 24 heures',\n",
       "       'Température minimale du sol sur 12 heures',\n",
       "       'Méthode de mesure Température du thermomètre mouillé',\n",
       "       'Température du thermomètre mouillé',\n",
       "       'Rafale sur les 10 dernières minutes', 'Rafales sur une période',\n",
       "       'Periode de mesure de la rafale', 'Etat du sol',\n",
       "       'Hauteur totale de la couche de neige, glace, autre au sol',\n",
       "       'Hauteur de la neige fraîche', 'Periode de mesure de la neige fraiche',\n",
       "       'Précipitations dans la dernière heure',\n",
       "       'Précipitations dans les 3 dernières heures',\n",
       "       'Précipitations dans les 6 dernières heures',\n",
       "       'Précipitations dans les 12 dernières heures',\n",
       "       'Précipitations dans les 24 dernières heures', 'Phénomène spécial 1',\n",
       "       'Phénomène spécial 2', 'Phénomène spécial 3', 'Phénomène spécial 4',\n",
       "       'Nébulosité couche nuageuse 1', 'Type nuage 1', 'Hauteur de base 1',\n",
       "       'Nébulosité couche nuageuse 2', 'Type nuage 2', 'Hauteur de base 2',\n",
       "       'Nébulosité couche nuageuse 3', 'Type nuage 3', 'Hauteur de base 3',\n",
       "       'Nébulosité couche nuageuse 4', 'Type nuage 4', 'Hauteur de base 4',\n",
       "       'Coordonnees', 'Nom', 'Type de tendance barométrique.1',\n",
       "       'Temps passé 1.1', 'Temps présent.1'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       2018-08-08 15:00:00+00:00\n",
       "1       2018-08-09 18:00:00+00:00\n",
       "2       2018-08-10 06:00:00+00:00\n",
       "3       2018-08-15 15:00:00+00:00\n",
       "4       2018-08-18 03:00:00+00:00\n",
       "                   ...           \n",
       "26066   2018-09-08 03:00:00+00:00\n",
       "26067   2018-12-12 03:00:00+00:00\n",
       "26068   2018-12-05 15:00:00+00:00\n",
       "26069   2018-12-04 00:00:00+00:00\n",
       "26070   2018-11-29 12:00:00+00:00\n",
       "Name: Date, Length: 26071, dtype: datetime64[ns, UTC]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Date\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2019-01-30 21:00:00+0000', tz='UTC')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Date\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2010-01-01 00:00:00+0000', tz='UTC')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Date\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Température</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-08-08 15:00:00+00:00</td>\n",
       "      <td>298.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-08-09 18:00:00+00:00</td>\n",
       "      <td>289.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-08-10 06:00:00+00:00</td>\n",
       "      <td>285.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-08-15 15:00:00+00:00</td>\n",
       "      <td>298.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-08-18 03:00:00+00:00</td>\n",
       "      <td>285.65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Date  Température\n",
       "0 2018-08-08 15:00:00+00:00       298.65\n",
       "1 2018-08-09 18:00:00+00:00       289.45\n",
       "2 2018-08-10 06:00:00+00:00       285.85\n",
       "3 2018-08-15 15:00:00+00:00       298.05\n",
       "4 2018-08-18 03:00:00+00:00       285.65"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"Date\", \"Température\"]].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "261.85"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Température\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        False\n",
       "1        False\n",
       "2        False\n",
       "3        False\n",
       "4        False\n",
       "         ...  \n",
       "26066    False\n",
       "26067    False\n",
       "26068    False\n",
       "26069    False\n",
       "26070    False\n",
       "Name: Température, Length: 26071, dtype: bool"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Température\"] == df[\"Température\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID OMM station</th>\n",
       "      <th>Date</th>\n",
       "      <th>Pression au niveau mer</th>\n",
       "      <th>Variation de pression en 3 heures</th>\n",
       "      <th>Type de tendance barométrique</th>\n",
       "      <th>Direction du vent moyen 10 mn</th>\n",
       "      <th>Vitesse du vent moyen 10 mn</th>\n",
       "      <th>Température</th>\n",
       "      <th>Point de rosée</th>\n",
       "      <th>Humidité</th>\n",
       "      <th>...</th>\n",
       "      <th>Type nuage 3</th>\n",
       "      <th>Hauteur de base 3</th>\n",
       "      <th>Nébulosité couche nuageuse 4</th>\n",
       "      <th>Type nuage 4</th>\n",
       "      <th>Hauteur de base 4</th>\n",
       "      <th>Coordonnees</th>\n",
       "      <th>Nom</th>\n",
       "      <th>Type de tendance barométrique.1</th>\n",
       "      <th>Temps passé 1.1</th>\n",
       "      <th>Temps présent.1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21810</th>\n",
       "      <td>7240</td>\n",
       "      <td>2012-02-09 06:00:00+00:00</td>\n",
       "      <td>103740</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>261.85</td>\n",
       "      <td>260.55</td>\n",
       "      <td>89</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ID OMM station                      Date  Pression au niveau mer  \\\n",
       "21810            7240 2012-02-09 06:00:00+00:00                  103740   \n",
       "\n",
       "       Variation de pression en 3 heures  Type de tendance barométrique  \\\n",
       "21810                               10.0                            2.0   \n",
       "\n",
       "       Direction du vent moyen 10 mn  Vitesse du vent moyen 10 mn  \\\n",
       "21810                          310.0                          1.0   \n",
       "\n",
       "       Température  Point de rosée  Humidité  ...  Type nuage 3  \\\n",
       "21810       261.85          260.55        89  ...           NaN   \n",
       "\n",
       "      Hauteur de base 3 Nébulosité couche nuageuse 4  Type nuage 4  \\\n",
       "21810               NaN                          NaN           NaN   \n",
       "\n",
       "       Hauteur de base 4        Coordonnees    Nom  \\\n",
       "21810                NaN  47.4445, 0.727333  TOURS   \n",
       "\n",
       "       Type de tendance barométrique.1  Temps passé 1.1  Temps présent.1  \n",
       "21810                              2.0              NaN               10  \n",
       "\n",
       "[1 rows x 64 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Température\"] == df[\"Température\"].min()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Température</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7993</th>\n",
       "      <td>2016-07-19 15:00:00+00:00</td>\n",
       "      <td>309.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Date  Température\n",
       "7993 2016-07-19 15:00:00+00:00       309.85"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Température\"] == df[\"Température\"].max()][[\"Date\", \"Température\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(x=\"Date\", y=\"Température\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Température')"
      ]
     },
     "execution_count": 17,
     "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": [
    "ax = df.plot(x=\"Date\", y=\"Température\", linestyle=\"\", marker=\".\", legend=False)\n",
    "ax.set_ylabel('Température')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Température')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kZZjsDiDd5RCKqfWT2QG65V/fqXawskU4iZ463wDIz0BNVlcoFAp5VIbnKmK0Zy2ZzSgNNfJCb5JIHZso45McHUq+Lhswpbvo4PChxRMHt+kdPlrZ3EWKqUvONV/epnGrvsd24FzzkO/3XZY63+s2lZKfweFKek7ZSGZ6VDZJoVBczagMz1VEIDQ1HIZzDpYRTsuOvKCO7b45aeS4iMOVrdLBzU3ZMdhbdmWeVmFBKlq6+shlz13oMLzW1NFDLvvuJ+elJquLJrNTL1PnewAwRHIigfRIZvtUNkmhUFztqIDnKkM2gAgE2XHG0pEFwJGqFqx+YQ/r5jfcjC7Ac2w5SZGDPjiVzV1kwJMQFSIUA+uZmeHE1xdNwPsnG7B4iseMcNtxekbXm0euvO6GJ2Pyw7unksu+cahm8IiGmpnlncyuP4ezsjwdbL4dd1298tqi7LgwUx10HAI2I0yhUCjGEBXwXIVQpn+jyYYtJ6Ru9gAvM7BxfwWKNpUOzs0sWpZjDBYswJLcRATbrJps0PS0KBysNHZv7TvbjN98WAY3gN/vqcCGQo+Pjwz9bjdiwuykNkj/tyi7khztwMoCrYP0yoJUUq+zbBrtDE0RZqdHdATqe+EbiKmRFwqF4lpAaXgUg+g1GlSXlRvim73+/UNpgKhlvcGOdzsbtpxA0fIrw0atFmDD5flY+u6xh2+7gTymksoWzTqLNpUi3G4z6IWsl9fvi3cA6oZC7QDUtbdOJLflHQFxuLIZz+88g8OVzaht7cJrB7Wi59cP1pAaHNF0eGowa5jdahRTl1QHRF+zcX8Fbl7vGSR78/rtKK1qHVXtmEKhUIwEKsOjAEBnYhZNjid9ZdxuoxvwkWpjmUvkiEyNZQiz28jgKjXagY+KbjOU8PTZoA2FnvbvkoqWwfdnxYah/EKnYZ2VTV2G7Mi9BamYm+0i9VFUqY2iqrkLv919TrPeRZPiyHNAaXDcACYlROBUffvgawUZTqyak27Yr4qmTvJ8HShvxufy/c+6DBV4/mLLSWWIqFAorlpUwKMQZmKKixYbA4OZxsDge0un4IktJwzv3/zQfNK0zxvs+C4r0spYLMYSHnVTLtpUiqJlOZqA5+YbYg0BDwC0dPUKW831s7QAYzD4xTnp5L6WNXYYhpLuONVIjosgTQoBnGlo17z/cGUrnlpdYNivN4/UkPvAmOYBwOjaLZp/lhrtINvwFQqF4mpBBTwjzEiMgQj0OkUajQPlzWQ5Ru9BI3p/Z++AofNqzcIsPLezzLCs6EadFmM8PtFNef2WE5rX/rDXKHj2Bh9Uq/h/bT+NV/ZVwO32BA4bLme59MEgJaQGgAvtveTrd+Ul4+2jtZoJ6l6TwnWbSjEAT7DztVuyyXPzUnE5nt95VpPNWjQ5ntQ3FQwxzkP/vaGyeuEh9CWBCjxHkpH43SgUiusbFfCMICPRyjsS6xQZBOrHJwBX9DpZcWGDnVeibq6suDDMnxhrMOJ7objMsK0BQft2ZVOXYfin7FBS0YxxUav47/dW+CzjyRr96kszyNITxYR4eihpZmyYYYL6IN4TZwFiI0PI8+gNdrzbLtpUil3rbsOGwjzDd0EUHOi/N48tyyGzcs/dX0C+nwo8ucgGMaoFXqFQjAQq4BkhRqKVd6Tag5OjHWTHz6xMY9mF0us8tizHuFJdTOINjkReQkNlFvQ3ylmZMWRgAN1rVhiDHjeAi91y7d9uAMcYc7ump0UbdER5KVF45sMzmoDFd7K672f5xNsn9KskgyuvVkfWooD63vgGO1763W6UNRpLgADQ2SsKH2lksklUEBOo77jKECkUCj0q4BkhRqKVd6Tag0WdRI/eOcUQnFB6nSd82tS9uN1AeWMndnzaQN7oqMnsVImmqqWLNPijWr3LGjs0wcbUlCh8UttmCNi6BZPZKcqb6ACAorS6FYcqWzSvHatpMwRdwsnq0lu6otWhykz6mz1paEhEUhaA1BZxO7Jks0lUEBOI77jKECkUCgrVlj5CjMQYCG/pyBeLBabbg4e6yejbv/PSoqVvnmF2q7AtXT9awutX48vSG5PIG+XhymayJds32AGAozVt+OatEzUt5T9fOQ235ybKnhpMS4k2fI4iztS3Swcx0Y4gcnSG7HgNUYlp4/4KLNjgaSlfsGE7Nu6vIL+LVmrdFiAhKnTIoabDwckmlRPZJLO/m7EYsKtQKK4OVMAzQgw1RyqgiAQlDIa6yWzcX4F7n96Fn751HPc+vQulVa3GoAv0zbOiqVN4o6N8ePRZpneO1pHv33a8flgjQC/nGjsN+pn89BgU6oKr5Xm06V/hrDSsX6n14VkxI5lcNu6yBkeGyibjDdgCTzbE9zvztVuyyfdTJSbRzR6A4bv4tVuyhVm5VXMyUFy0GK8+OA/FRYtZ2RFRNonyEqKCGLO/m+HGoSgUiusXVdIaQQI9BkJkBGi2pCXS1QAgn9YpqJtnhaAc9M6xWvx297lhPXsGQEwwtwDxkSHSx/ZWaa1BP7NocjyevG8G7p+fiY/LmzH7cqv3ol9sR4VPIJLh8pSL9pU1ac4B5+YpmuBuD7KSn+X0VCeeu78A759owOKceExNicaLhMibChaGy9TpxeP6jjDgSrbQ344skQD+jhsTseXoFWPFoVyhzfxuRNtXJokKhUJleEYYfenGDCM5LZ16qhcNs6Ru1NQTvEgr8/Kuc4YsRLjdRi5rCBbcQIqTnpZ+65R4zd+LJsUJXaEBT6ZnzS0TkJ8eg23H6zTBDgBUNHXh+R1nDN46h6poIXNP34B05ikrlihPAvjfPeVY8/IB/G5vBda8fAC/fOck7p2pzUb5Bgu+mbLhvh++38X6tm5yv0Svi9Bn6qgMzfeWTcE7x7Qu0q8frNFk9/RT2P393YxaZlWhUFx1qAzPVcRIT0vXP9WLghCKz0yJxwcnGwb/XjEzBbfnJuLX288YlqWCkFLJbig3gCOCgONvZqXhK/MyBgeFTk2Jxs3rt5Pt8oBW3Lv9RD25zjcO0QZ/eiwAluQm4FfbT0stn+5ykMGRfryEPtgCrgjKKUG43ttH9P3YV95E7tfH5c0GGwARlNv1qjkZBmfqjt5+YeZJJGo3w2gO2FUoFFcPKuC5yhjNi3lHr3w304c+wQ5w5aZcqOummjfBhT1njTfbPWcuSG8ryEYrZT46fQGv7qsYHBRatCxHmGHZuL8Cj20qHfz7q/MzyeVmpEfjaE2b4fUVM1IGJ6Z7b/aN7T3Sx7DjVMPwCwnod7tRcs44i+v7m4/ie8umaLx9fPEN8OZmuch1z86SMy4EQLpdL5ocbwhivvkZevZYZ2/fiE1hH+sBuwqFYvyhAp5xhKx3yGhdzCk9hMVCmOdBPFBUr5XZV95EBjz9AjNACqvAePCVfT7GgTA6L3tf33b8PB5//Zjm9Zd3n0NeShRKfYKbggwn1t42Cb8jHJtzk6MM2Z8/fVwlfQxljR3Sy+rxGjVSWZMNW04Mfj6+AQSVSclwOQyaJW9253BlM/aVN2Fulgv56THkeA0qQ/XeJ+fxL38+pglinvnAmOXznAOxqF157igUikCjAp5xwnj0DqFKaN9bNgXrCYM8Cu/08ISoUOSmRCEhKlSYWfjCrDRsOXre8Do1h6r8gv/BAgDsOUtnk+6bk45vO0PxwckG3DolHktyk3C4splc1jeY8oqhb50SJ70P8yfEYnOJXLlseV6SptS1YmYKwkSaJyKAoLJBvn97qWjqwuHKZsMA1OV5Sdjq0zE34AZeEYzXOCvQfekDZdE8MbOeP+Phd6NQKMYnSrQ8DhjP3iF6MfPd+Smk2Jais3cAG/dXYP56jy/M/PXbcaLuoqElvLAgFUtyk8jXZ2Y4Na/lp0fD4mZOyNTRLnBaLmvsQFxECDJiwxAX4ekEE2ld9PS73ciMpUdLUPRckrcZ9O1uAjzlQr3B4VBc6OiR8k4CgDcO1hh0Q2+XGu0BREyMp4XTRbp2e995YnqfpKGyNL4C56F+N5QQWqFQXN+oDM84YKQclLmISgO+JbRdZxqlO5HC7FaNTgYAHttUit3rbsPyvKRBcfGS3CTUtnYZzAQpwW5JRQvmZMuJaiksAGZnu/DBp43GdZ9rxn9/VD74d2FBqtCfh2LBDbGa9w/Fmfr24RfC5fEYxHcjMYruVKOIDQ8xTmYn5qQB8rZOVhiHsFoswJLcRATbrAZh/ao5Gbg7P4XUngnnjOnQZ3PWLMwmz81LxeV4ofisyvooFAoNKsMzDhjJdnPZJ13KoZdaB7WvonzLW6V0yeaJLcfx4G8P4Hd7KvDgbw9g4/4KcgK6iJoWuad2C4B1ujlfGwrzcMsNdOlJ326+qaQabx6RKzsBwP7yJkOW6uaJdAmvt5/O8MxIi9b8fee0JPK7kZeqXc4LZQ9QkGnMpKxfmYcCXfasIMOJhZNiyfV+dV6mJkOzvjAPGwq169xweXip3p3bN9hw+3zK3gyN3ieJytBQ2ZwXi8sMx2sFBoMd73LjJVuqUCjGFpXhGQeMVLt5IAY2ilqfffd16bREvKVrpwaA47UXyf16/VDt4P/3butrt2RJH9fFLvnhn3/wETIDwMb9lfi7hbR7MQUlsBZx4FwL9pdrNT+7ztDvv9DeS75+WBd0bT1ah2XTkvC2zrRP1EF3Q0I4TtVf0Tjlp0eT5okfnGzAQd0ojoOVLegUrHdpXjL+7+KJhgwN1TFIfe8AGF6jzCZFGRrSmNINfH1RNl7cWT74XVyzMMtgqDgW2VKFQjH+UAHPOCEQ7eb6tmHZll9RSe1AOd36XFy0GMVFiwf3tb6tmwx47s5Pwc5Tw7eb97vdqG+Tb+mOCbNLL1t2QeuKXFLRgjlVLdLvT4gMQW2r3L6lOUOxX3K9cRF20oWZ9OYhNDyiUptvsAN4jvdPH1cYyoN6XRAwtDt2mN1KdgfqX6OC53WbS+F2Xzk27/do80Pzyan3VIZGtOwDC7JxU7ZL40z9gqQztUKhuL5QAc84wky7uay+gXrS7eqlMyblF8TaokC5RwOeG9Ln8pPxmqTJn1n2l8lnbaYkReFwldGHx2YFfKtS4XYb0lzyN1VXeIjfY9D63W4crpQzagRgcDkeip4+utRGze4C/J/M3u92k/PEqOX73W5UNRPLWoAf/+WTweDtd3srUFiQOqLmnAqF4upFaXiuAain6heIOUnAlVZxX84KPGF6Lw1IaYtEnjLvEG3mADBvQoyhY4fq0lqcE0+9HVNTosjXZekSjLygsAfRCiW9BKejt581yLVOUock4kKHfEYs3SkfiC3JTZDWk23cX4GbL3fg3bx+iMnsFlpbBMvwGS4vZReIOXJuY6ZqU0k1cpIi/R5+OlaorjKFYuRRAc81APVULbpxeJ/UfS+wIm+cJbkJUm3DItH1ndMSyfU+eMsE8oY0N9sFr6egxQJMio8g328RGA/KkpMcKb3s6fNy3VQAcLyO1ixR7C6Td5amuNBBa4AoyiR9iyzweCbNSHdqXvfqgPQt4ZTTMgBSIL2ywDgPbFamfLddb58x+BZ9DT4ubw7oDDt/CUTDgEKhCByqpDXCjIYLLOWIbAUAgakbJSrVj4AoLEhFfnoMTtRdHLZtODnagRnpTpT4iGDz06PxN7Mz8Oq+Ss3rBRlOLMlNGnyfF8MN1O2Z5k3pNijDOtFUcor0GHm/HE5sdVO2C+8dp2dy6QkJMvmsIWuMw8DrQl2iEzOXVLTgX985gWc+ODP4nVklcFo+UN5sEEh/eLLBoEPaXFLNavnPT4/2zAnz+d7ePz8T/7PrnGFZrl5H9Bs189sNRMMAAOUgrVAEEBXwjCCj5QIr6vICQL4mEiL7joDIT48Rtg3rhc+HK5vJm+ThymZsfmgBth2v07gXUxw410wGLIbXLJ4shP7m981bJ+Kp9+kRBnoiQ+W/9hMTIrD7rNFt+eYJLuzy6eAqLEhFUrS8N05MeAjQQAuEZWhnzDnLS40mfYf02CwWHBYIun3P7YAbeFXgtLznbKPRuJASSAN4fsfZYffJS5g9GECvJvju7aeDvu6+AelgRTQA1cxvd6ggRrZhQHkJKRSBRwU8IwTnohcIRF1e+td2nWkcUojsOylb1hBxuMnbS3KThIGOlyZJTYrbDZQ3egIF33Pbx3AuPifoRKIIttIjHL58UyYeW5ajCRBFnj1BFuCSz3m02yy4Y2qioYWdw2cmx6P4tFxZjBT8ApieGoUj1VcE2StmpsAidFWS42SdfAmwUdCar8dmsSDMbjUE36/spUs/735yHo+8elAqu0KV5XKSIk39djlGoqLsLNWpNlLXDoXiekFpeEaIoS56IwWlW9C/NpTJoV5zIGuI6O/kbd9tucJDyOUosSvl4PzczjJpQ8RgRp1KJFpu6epFfnoM1twyYTBITI+hb0aXdN+D3n43jtW0SO8DRS8jwAsPoYM232AH8JSZ+i7JZ44o0lzyWa6kaPoz/9v5mYMXJis8urGO3n7pKt7rh2qExoO+3zvK7NJT1qs39dvlGIl6s7O+Iv6v3SLusFQoFP6jMjwjBPXkNh78QETlL8pgcNWcDNw7U6vtWTEzxfCUmZ8eI9QAUVDlgkWT4416HQuw9MYkTSfOipkpOFJNt2TfnZ+CvxyuHdKEDgAqW+RvHCFBdLDgdNgNZZNKQSaFYvcZc6Ll/ZIzviwAggXHoMcNccfetJRIfFJzEQPwBCFfnJtODhBNd8nro1KcdIBoD7JdEWVdDhzCBcNSZfAGC/rv+Bfn0iWihKgQUjsm+9vlGonqs7MAlJeQQjECjGmG55lnnsH06dMRFRWFqKgozJ8/H1u2bBn89+7ubqxduxaxsbGIiIhAYWEhzp/XtjpXVFTgrrvuQlhYGBISEvDd734Xly7JOfGOJNST21j4gVCdIvqBoIsmx5Mp/MOVzXjtoFaP8frBGrLr5Mn7ZuCNtTfjB3fl4o21N+PJ+2aQ++AtI/huq2izJ1ujH1VQtCwHW/Vi14PVKK2iAx5XuF0z0uCmCXTmKTdJvq39mCC42lJaa+is2X12eJ2MlzC7uWcNWR2SG4ArPFh+xYIsSnCQ9UrKzAIE2+hLh5shphYNW32eKOeIDBFl8GYF9d+7VwUlsWRKi8Ws9Ol/Y8Ppb3wzsePl2qFQXGuMaYYnLS0NGzZswKRJk+B2u/Hyyy/jnnvuwcGDB3HjjTfiH/7hH/DWW2/hT3/6E6Kjo/Hwww9j5cqV+OijjwAA/f39uOuuu5CUlIRdu3ahtrYW999/P4KDg/Hzn/98LA8NQGDckznoMw5DCS/1A0GpFPr+8uYhU+t6UWh+eowhq6Pfhy/OzSD9VErONWPVnAzkJEVif3kz5mTFoLK5i1xWdO9p6ujFvU/vGtzWsmm0bsgZZkdBhrarLCo0CG3EFPWPz9GZlLd8AjFv0DY9VT6QujE1GmUX/PdcmZwUCRyRMxT86NMG6fXag+lMysGKK4HfgBv47W5jdxQA7GGYOkY56EBM3w3Y73bDarFId+Z9+aZ0bNxXpcmukN8lwX6VNXaS3zvR916EGSPR0b52KBTXA2Ma8Hz+85/X/P2zn/0MzzzzDPbs2YO0tDS8+OKLeOWVV3DbbbcBAF566SXk5uZiz549mDdvHv7617/ik08+wXvvvYfExETMmDEDP/nJT/DYY4/hhz/8Iex2+REEI4WZix4HfWDx2NIcPLH1hJTwUVR+o9q/bRYLjlS1YPULe9ii0KGeqt1u4zHcnZ9MLpsucDT+82GtdoManwB4tEVrbpmg6R47VNGCXxNdXpGhwWjtHl7X4nYD8RG0JoXipuxYvCkZsMSF29Ho47uT4XIgO472KKLg+APdNztNSkwtChbsNvlUSGtnn/SyaTEOQ3l1TlYM9hH7umBiHB65bZImWPjL4WrDchSB+N4HitG6digU1wvjRrTc39+PP/zhD+jo6MD8+fNx4MAB9PX14fbbbx9cJicnBxkZGdi9ezcAYPfu3cjLy0Ni4hWDuzvvvBNtbW04duyYcFs9PT1oa2vT/Hc1Q3WEPbHlxJDZGV9EKfT89BjD699bNoUMpKgyF9VqLrpRprschmN4w2fIqC/ZceF4ojBP89rXCaHngBuYlKAtmxRkOAezUFNTorEsLxlTU6KFaaPYCPmg+dKAvJA4NFj+p9eoMxmsaOpCLcOpmVPCm5xImzLKmv5NSZTfVkWTnCEi4Ok005dXPyaCHQuAgswYg1h/dpbL8BFbAIMX0IqZKYPfe1/hNOd7PxTKUVmhGDvGXLRcWlqK+fPno7u7GxEREXjttdcwdepUHDp0CHa7HU6nU7N8YmIi6uo8T8Z1dXWaYMf7795/E7F+/Xr86Ec/CuyBjCHk/CJ4bkpu3VOqSPgoSqHrXx+u+8w33e8WORUSVDZ3kW7RlJC5IDMGv3znpGZZUeu1fpjmwYoW1LZ2GQSsd+enkO+fPyGWnKVFcaZB/ga++6w50fKHjDLV8vxk7JFsgf/1tlPk64lR2iGqkxMicJJwob5nZgpau/s0mZicpAicINrVI0LktUUXOnrI77ge0TcuOdqBDYV5Gs+domWeLKgvrx+swaN3TvH84SOcbrxo3D53Cvto+XIpFAqaMc/wTJkyBYcOHcLevXvxzW9+E1/96lfxySefjOg2161bh9bW1sH/KitpE7WrBVEHy9pbJxrae4e7OLuJW4bv07Ko5fZIVYtBxEs9VYto7ugl11u0PEcjZN6wMg/1bd1S5nb08QGbS6oMAtbXicGlFgDL8uiyGsXEOPkOJY64lyKCIXquYWSDRF1a+onxVLADAI3tPXjyvhn41y/k4fbcBPzrF/LwXW8AoSOXMeIjNjxE+ru06UCV+B99hNcX2ukg5kB5syHb+GJxGWmRINs5JfLlGirTo7JBCkVgGfOAx26344YbbsCsWbOwfv165Ofn4z//8z+RlJSE3t5etLS0aJY/f/48kpI8aeikpCRD15b3b+8yFCEhIYOdYd7/rmY6BK67vZfcmgv8UMjO86HKX6J0P3C58+rye60Avjw3nVyvK9xOltW+sWgiXnvoZjx+Vy5ee+hmrJqTgfeO00NJZdlfZvRfAYBs3c1rZoZTeG4pJiREIsOlDSjjwgUlMZPzwLolB6BaLMD5NvlBo5MT5IMQig9ONuA7fzyE7/6/Urx3vB7f/X+leJkY/wAAlYzOq85e+c7LssZ2Q7AwqCe7/MH7ji7xxWKBYSQL4Pn7wUXZrAcI333g+nKp+VoKReAZ85KWnoGBAfT09GDWrFkIDg7Gtm3bUFhYCAA4efIkKioqMH/+fADA/Pnz8bOf/Qz19fVISEgAALz77ruIiorC1KlTx+wYRhuzbq1cV2hOmUu/7Cc1raR/S2iwFXdNN5bVqDJAr35UOZO+ATpYKNPdfEoqWrD7tHyruT3IYiit6fU3XpyhjFZxgj5JvZDbDaQJ/G4oojgt7ATN7b14U5dt23GKPoecgOetI7XSs9K6egdw8/rtmnER4SFBcqNL3B4DSUq0HBseYvAHEqH/3t4/L5NcrrPXKNz2x6V9NGb2KRRXO2Oa4Vm3bh127NiB8vJylJaWYt26dfjggw+wevVqREdHY82aNfjHf/xHvP/++zhw4AAeeOABzJ8/H/PmzQMA3HHHHZg6dSq+8pWv4PDhw3jnnXfw+OOPY+3atQgJke+Yudrxx63VzNOnd5vDlbm86X7fZQ9VtpDrO1zZalhW5NnT22euHBQZKi9E/uCkvFam95Jb2g24klFmomjtku9wOlUvP+6hq8ech9WxWvkGgBOM7rEehgP020frDOMipEeXAOjsHTBMfOeIlqmA5WVBGz/1Gxvu96jPXqlskEIhx5hmeOrr63H//fejtrYW0dHRmD59Ot555x189rOfBQD8+7//O6xWKwoLC9HT04M777wTTz/99OD7bTYb3nzzTXzzm9/E/PnzER4ejq9+9av48Y9/PFaHNGZw3FrNPH1SiKalU0+aCVH06IGEKGOASnZ5uYG4SHN2A0tyErD1qFxZLDZCPuORzdDw5CZFSk9Wp+C0dF9iZMRqW7v92Z1BMmMdKLsgl7lxMNyTs+PDySGuMrgBWCVLiF5H5YqmDk35azjRsm+GhQpYRHEwNX5lKJd2g/3EshxNR6aau6VQiBnTgOfFF18c8t9DQ0Px1FNP4amnnhIuk5mZibfffjvQuzYmmE1L6307RBPUuU+fw+3XUNPS89NjcLiyGfvKmzA3y4XbcxPxg9eNlgFLchMN2xJ1eWW6wg3GgVMS6a4hCo6mxcEQB9e3yQcL7T3mZlaxclwMuRCn3Z1ieloMPvhUrgMtUjDji6Lf3OmSxg3P56gfVPpicRm5fGdvHxmEUAHLnTcmasT1vuNX9L8x2d/uUPYTKuBRKLSMOw3P9cpItKxSreaUq/JQT58y+yUSEW8/Xo/f7j5nmLFFzd2i9DoP3TqRXK/DbjWUxk7XdyAvJQqlNVdKKklRIagjgpujgnERFDemRGPr0fNSAcZfP5EXU3eYLB2JBoJSBFnlK9c2fW2SSX56tPSyVc3yAWIHQ7RMbouhF6KGh4pKlUcqW/Hr909rgpBfbDmJqclROOrzXcxPj8bT/2cWth2vw/snG7B4SjyW5HoaK0S/MZnfLrVfw839UnofxfXKmHdpKfxrWZVFb8AmamFfPCVe83dhQSoSokKl9itUMJzyQkePoX18U0m14bXNJdU4XGlsBX7qA6PzMeDR+1BPtb43GABksAMAeWnyN+VbJsVJZ1N6+uRvyqIp7LKIZllRHK+RD/DskoNGKSwWYPtJ+TIdJ2g7z8ieUexljLz4tE5ehxQcZJX6LpZUtOBf3zmBB397AL/bU4EHf3sAG/dXDPnb1/92Ka2cFUQCb4ivltL7KK5nVMAzDvBHNOwvojbrSYnaUQVzs11D7pevcDIjln6a7JAs27hBP1WLfAtDBC7FsoHJwhviyNfXLcvRdPE/UZjHGlrJKVM1XpQvq1HEMcZYVDIyKRxvHD1uN/BxmbzOxhUufwxN7XS3myzdDNFz2QV5A0kqCBHFG0+9f8YQ2Hxc3mTKEf1rt2QPOffLl5F8sFIorgZUwDMOGK7LaaS3ZbUAz+/QahS+v/kowu022mSwWmsyKOq2ufmGWOn9Cgm2kvtFcZHRoUTx9lF6ZEWq04HX13o8f15f6/H84ZS/whgZC45gl+Ku6fKGiBEh8tmk6WlOP/bmCjEO+Sr5nGx6mj3FpAT52WEUOYKRGRRTk+V9udJijEHIQ4vpUqwe36GovgzniL75ofl4/K5cbH5oPh5YmC39/tF8sFIoxiMq4BkHiGZZjUR9ndrWmoXGp8R+t3uwPVdjMrh0iqEr5Bli6CYApMWEo7AgVfPaDEE5KdoRbNiWaNp5vcnsyCfVdMli15lG3Pv0Lvz0reO49+ld2Li/giVETmF8Xs2MoC0qVBscFWQ4ESqYak6RGiPfPfYJo62coo5xvnKS5IIQC4BJkssCgCtM21mX4XIgWLJUZ7EAt+UmDr/gZSqbugxByHfvzDF872+eQAd3ocFW3DtTu+yKmSnC3/7G/RWa7+iOTxuk3z/Ug5VydVZcDyjR8jhBNMtqNLYFeLpQqDbY+RNjhzUZFDU9d/b24cn7ZuD++Zn4uLwZs7NiUNHUiUdePWRY1umw43P5KQaTwrdKjSMj5k+MxeaDxlEQstw9IwXFpy9oZ3QBeHVfpWay+/c3H8X98+SF48lOuuWegtMqHhpkQxu0JRkLw6k5VuT2TGLO44jjTP3XY7TI2xFsRVfflfMTEx6MGelO6fU26Vr2K5u6MCmRDpKDrYDPphATFozZWfKZp6M1LejovWQQHc/NdmFzSfWgR2GM4DM4XNlqGIrqO8/LV1xMlaTWbSo11NC879dfQ0TdX/q5cuNtxpcSWSsChQp4xhH6tvLR3Na9M7WdU/qnRO+MLZHomcKbKs9Pjxlsv02ICjUOBAUwy8ePxLutakGL9Pm2HnId1K06NToU1T7eMhkuB/5mdobnZuFzkV+zMBvP79SW9frdbpZpXx3Dw4bTOVWv06+UVLRggclMjIhTkq39IiJCgtDQLpe92iEYgOob7ABAU0cf/mhCXOsG0NFNC8p1m0JTRx+eE4jlKQ5VtOC5HWXaIGSzZ4SFb1v720TgDgDxUSFkmeml4vJBp3RvEJLuCqMfNhht6dTDzoIN28etj48auKoIJCrgUaC2tUv4lKl/+luzMFt6vZSpWnK0Ayt1bekrBW3p+s4xL2cb241CTcE+VOuCkIqmrsG0va+xnD2IDkDiI+WFtYzh8JiSFIkPPpUfW6FHdAOluCAYb0FhVkwdE2ZH2QW5skhLp/x+6X2euGTEhmOPpKD6z4fls4ehwTapVnHRV2N6Kl3ifX7nWU22sWhzKV5/6GZhYK8nzC4OqH0fdqhW9/Hi4+PPiA2FYiiUhkchFDPKTo2mvkQWXHFV9tUHiIIrqi192wk6A5CbZG7Y68u7ygzGck8LdEjBgkCIIjlavqR1scec8LrD5PtFRIeZm6V1SXLGFwCEMFrgOZPo9VgswJ03yutyOCQwuuUodgrmjFGdV6UMAb13ptvhymY8v/MMDlfSwZ4/DRMivU+gdUBKZK0INCrDoxBa2YumRn99UTZe3Fk+qANYszALz+nKQW54SlpUhoi6iO0vb5aeQ8XRr1DsPm1sBRZtWjReY0Z6NA5VXrkBFRak4kK7fHbkk2r5OVIU7QytTFu3fHCU7grDyfPybdl6ZK0IAKC7X9636KaJcdhT3iK1bGSoDRe7r+xHTFiwoUw2FEEMj6PDjCCEgtMFWFrVKq2wauroxXf+eMhg8PnkfTM0y4l0PUOJpqkSk+h1X5d1b1lbhF6rkx0XTpauR6J7VXF9oAIehfCiNyszhgyEHliQjQcWZA/qAOrbug0BD+AJFkQZIt+LmM1iQbbkRcwCIJrR+kzRITkj7MoWjfgGO4DHPPGu6XRXGUWwzVzQdonhK9PG6Ag7YVIbZGMEoyE2G7r75I5jelo0MlwOVDRdyR6Eh1jR0WMMZHyDHcCjy9l1Rn4IbAgjq2fSmBrdDLPKcHuQ4fcoKnFVt3SSpp/3z89EQlSoJrCQbZgQlZhykiLJ1z842YAtulEa+oDLCxUwLZpMlLRNnm/F9Y0qaV2FjEQL6ao5GSguWoxXH5yH4qLFWDUnY8h2eV8XWFFnTlljJ5khenDRFe8QqwX4+cpp8jOrLMC+cto1d8HEWM16k6LozhiOj0+45H65AeQy/FtiTZZCZLNhgGf6tyx1reY0PBy9UD+j/LW/vEkT7AAggx0RO07K66UGOGIskzfgWsb5zk2JNHSrpQk6A88Jyj7P7zxLOi3rXZ0pRCUmKjvb73Zrgh3AE3BRpTVRIPVxeZO0qaJCIYPK8FxljGTXAtUlJvP0JyqJzcmiM0Sx4SEawbBoHfq/vcs3CEZGpMU48Pz9s/D+iQYszonHawer8eYRo7h3UmIkzrfLjRqICTenaRExKSECWwVt2TJEOYLR2CEXuMWEyS/rCLbiIiNA0pPmcuCC5CR3hz0I7ZLZtvcYc8oomjrlA4sgRtrmhvgIHK/1v7NtTnaM9NDb47UXDeLtyha6MzA2kg72fX8PviJgAMO2fotKTNTv3GKhRfwflzcbSluiQMprykjZZahWdYU/qAzPVcRYWcMP9/SXHO0gzc/y02OMxoXLpuCJrSc0guHvbz4KAIZlvVOnfbFZLJoWdl9Onr+INS8fwO/2VmDNywfQKdCTPMDoNGuWDBQAoPGiXHbDYgGr3Z2CI6bOZgh+gxjrpXAIxn5QpDnltRhmh63aGTYAnIAnK9Z/MTUAZLrk33+yTl7vUycIhPR4W+BF87WGzSZbPM0J+t/uWsHgX6pzUyScLsg0Xj+8vkGceWDKVFHhRWV4riKG6loYy6ec2tYubCYGgj565xRDhmioY1g1JwM5SZHYX96MOVke7x6nI9igLVo0OR5P/vWUYT/0uprtJ2ndhsjfh4Jzo40TPFXrcbs9ztIU0aFBaPXxjAmxAVTc1s2YHt7OOIbeS/5ndwDgTIN8uaGToV9xm6wdJThD0VInJ8bmTGbfW3bB310CAOxjDDVl6NQ136GhsIBugV80OZ5sOBCVmKhMcG1rt0E07c3u6DM0IuG0Wd8g5eOj8EUFPFcRotKR90IwVmlestYO4EB5Mz6X79CUykSjGsLsVuHFiSqpPVGYh6JNpYNOtnflJeFNSW8ajgagkjE8tJYRSLkFIhz9jUrU9OQIDkJzl9wdsItxA+9hdDNRpMc40CA56NPN0Mr0MUTaFD2MaMEVFoLaNtlj8HePPMzNduHd43IT5udlu7C/XM5LKJGhEaOCmG3Hz+Of3zgm1XDgvf7oS+JP3jcDy/OS8P7JBiyeEo8luR5RP+d3rl8vxzdI+fgo9KiA5ypiqCeh0X6S8Q2uWgSajZYu401DJHCuau4aDGAA7ZOmjLaovq1bOuCpaZYPYhoYRnzFAk8Vit0mMwOJ0aGoEWiZ9LQxWsWlne0EcPyBmjvlA7E+jkqbgOOC3c3IcnHE56HBVnT7BJQZLgeSnfI3XiujA65GcqaZ6KyebSBGyLiBRZPisMPne+7ryK5/4PK9Jr2yt2Kw84rzO9cjcnqnjBbHa0ZcMXaogOcqg04dj+6TjD64WjUnnVzO6TCWeEQXrLLGDvJJs+RcM+6aLtYO+XN8ZRfkfWYyYh3SgUUfx3TPZFs6JyjhaFJiwoKlR0NQ1DKGh0aG2NAgKWUKtlkB+J/lCbZZ0SM5v6x/QH47yVHyZpPduuxZdXM3dp+VD5IbO+SD7/zUaFPu1D2X+skmAr1Roq8j+2ObSgdfX7c8xzBk+Pubj+KHd09l/859ET0wUZ2Iw2XExyNKjD2yKNHyVYheRDyajqRUcLVxf6VhOf18LC8VghLRBUEZZKiSga8YsaxRPojJZghNey/JRxbTUuTb0sNDOQM9jYjOI0Uzo1XcEWzuGcjK0No0M0ZLhDDMACkSouQzMYwKII6Z8C3qd7uF7eMUZzhCd5MGQd19/Vi/Mm/w07SA1vB4Hdl9gx0AWP/2CfKaJMqYut3Du0IDPGdob0bc+82xAkOaKo41G/dXsMTYCj4q4LkG8Mce3l/IaemX3Zd9LywbCvPIC0uLwAMnJJi+QKe7HOSFcOP+Cty83nNxuHn9dnzEKCdFM6aHd0ka4wGAM0z+phpj0jwxLYZTCpFfr9k2/LAQ+eOyMTrCFt4Q58/uDMIJ5KanyQeudpOZuknxEdLL9kpmqACg4aJcpk2098vzkrGvrEnTTVnd3EVeZ8qb5B820l3093ZTSRXueWoXfvbWCdzz1C5854+HyOWG8gYT4db973hkrDpwrzdUSesagGsPbwZRmljvvizadkwYHWzYBU/wT/71U41moLAgFY/eOUWjA3ADeJox4TqMcfPr75e/TDa2y5dzmhnjHiiSokNwuHr45QBPC7tsOccRLD/fisIVZkeNpJleZLANjZA7D2cZZUgKTliSxWjjDzF5vg5VtUgvK/rtUHQLSj/6kSgFGU4cIEpfhypaDE7Nbx+tw9rFE/H0+2cGmwV+vnIaq+vxkxp6pMr7uo5Krys0NY5CJHDWl4NqW7sM14miTaXjUrSs9Eajgwp4rhFk7eHN4vXc8b0Y+goXh9vurEzaQ2dJbiL+6/0zBtv8HbrMzaaSamTHh0tPS6eYmhIpvWwDYz6WSF9AEczwhaE4d0G+FBJqs6IdcgFPhkt+qjgFpwX+vKRvEQB8et7c7LEIRkbtZJ38tpoZuhqKJsmONgDoYWQbRfPA9NYNVLADAH85Qk+M33mqQRNA7Ctrwv3zM/Grbael9uvyiD6p3+u24/XC+Vt6/d7G/RWars0NhXkIs9uG7B4da3wDtKtRb3Q1okpa1xAy9vBmEU0756Re9U/bFh/zMl/NwOIcYpYOgI8Z3iUUx2vlb2ifzZWfst3F6IbiCIkpOCWarDi6bOIK064jw+XAndPMTRWPCpUviXFkOZwZXSSMbvt2hohHpD2TJTte/oZ2ukE+yzUpQb5URpEUSYuxj1RpNUveB5/CAq3x6M0TXOT7c5MjpR9OZHVXokyOqHt0qK+SWZNC2ffr9To7Pm1gl+oUfFSGR8HCbOpV1I1V3thp0Aw0CcS2iYzOGAqRENoeZNGIlMPtNvzDnVPwxxK52pHoAksRwdC6UHC0RZXN9I2ySdcWXtHUhfdPyHnCiOCIqYOsVshGIqz5VgRnGaJ2jrt2d5+5/eIErp2MQKzU5BT3UEE3JcV2wkeoX2AjwHnYWDLEw4ZvdkTkAwYYs0kWC1CQGUN2Q5m19qCyTNT7RXqd4qLFKC5aPOJZ+usZFfAoWPiTevW9uIja0quaOwyaAX36HfBcSL58Uwb++HGVXyJEC4CIEHof9B1Z3X0DrBlOYYL1UjgYy5LvZ4xw6GPokN41ObOq+5L8TVl0UzS7LEVfv3yAyAksoh1BOM8oe+qpY2QSIkKC0NYtdxyc8hcFJwN5su4ituq+N3sFBoki49EVM5LxxqFaTbAguuHrA5PP56eQy1ksnvXogxi9g7SMP9BwcPRCQz00jnSG/npHBTwKFlyBtP7itEYwx2qbwG12wcRY7D57QXNxyk+P8VzINpViAJ667OKceGw7YRwlkZMYgRM+wxlXFqTiE8lW4n63G2cZZYQ+RhcNR7tBbotRoolyBBuyOSI4bfgULENki/y2OKZ7FD0MM0HKMFNEl0kH6OMMbVK4PQiAXHCVFO0A4L8WyxUhL5CuYoiW4wXZ2dtzk/D5/JTBwb9eV2ZA+8AEwJAd+fMhWm/kdNjxufwUWC3AO8fqcOeNSVg4KZ4cTTGUP1BB5vCDVYdzm/dF6XXGDhXwKNhQM68AuktCf3ES2dOLtR9uw2R17z74irTf/aSODHhO6CZRv36wBkXLppDL6rEAmBAv37ETJZiPRSEq18lgAbB4SjyO1sgFbhPjI1B+Qe6mlOoMRbPAOkCG2Ai7tBg5OjQYbd1yN/Dk6FC01fvfqeWwB6GzT+64QoJs0lme2ZkxqGyu9Xu/BhiZq8SoEJySDMA5JU+KTIZXlex30QJgxYwUvPRRueHf3i6txdtHPU7pv9tbgcKCVDx53wzygUl/yqgz6PUBW/n0R4MGjO8db8CkhAiWP9BHZxrxyKsHhy1zWQQBucVivC6OZletQosKeBRsqFo3AMNr6a4woWfPizvLNT92qwX444Eqw7Y+OnNFoOyG1kHat1MjP80pte/9bjfrwpLilNcLZcaGoaRCTjthRsPjBtDEMO3rkBwkCQBxjCd7iqSoUOmAp5mheapnjPigCLfbcEFSm1OQHoNtgsGzetJizD2Vx0WESLfxt7GsDMxl6i4ytiXrMD7UHnmDHS+bSqqxPC/JUGZ6YSf9wPS9ZVOw4e0TmpLYJzWtBrfpU4R5o81iQX56NLlfr+y9Yqo6lIO9qPu0qrmLDJhGq6tWoUUFPAoWVNZm3aZSwCdF670wbH5ovrRnz/M75Xx0RAJpTkv4Hkk7fzeAd45xNC3yZZdwk6LlnZ/KGy2eYLRZc8S9FNUt8l5EHHOcHpOlI05B7NN6+fOl94/hEhEaBEgGPA2MNv7TJrJhAO87w9G5/XrbKell/0To9NwAsuPCUObjUJ2fHo1P6y4a2uVDBTq3CXHhmu/5ipkpcNjlfo9DNWgYBNIANmw5oQnYRA9sitFBtaUrWJBOywCZJu7sHfBYu1++21gtV6zd9S30EyTN3iwAWesWiaEpTp6Xt+jfc0Y+sHAyWrJjwsw5Gl9izO3iTCW3mWyX50xm55Bi8sbA0aSIhLUUrYxMGwWnpOVifGdaGTokiksMzZN+RthQHGV0j4m+42W6cRwlhEnippJq2AVeV/qg/vWDNQi32wwu0laLMVAWaW3I7lMYs1r+jvwx2y6v8KACHgULaoyFFcbxBb4XBkqDo0f2CUu0CtkMjwXA5ER5j5I2hp7laK38xbyOcVM1Sz8j4LFazF0SghjNZ32MG2Way1zpiOOXw2kI4wz0pOC4J5vdFgeRcSFFCGNEiIURUJt0IsBpycm03oezGelOzesz0p3YUEg/sOkhr4uMgGko1IytwKECHgULapbN+sI83DtTazy2YqanVXTdZm2rpmg+DHXBEDXmbDvuSaH7PvVIZ3gsQE6S/KykGQKnV4poRobH7MVc9PRKwWlwMpsZ4PjKBDNulKGcSIqA06XlZnTABZvMiFUyfItaGboas6JlUTmIhHEKokLlvx+cbBAFR49W1dxh0PuUVLSg4kKn1AOb97roa5y6fmUeNhTyzAT1mRw1YyuwKA2PYlj0XQZ6wR3gCWx8ef1gDW6dEj/kFPfhOhdumhCDXWeMrspn6zuk2931uN3yAYAFwBfmpOMDycGkMzNjEB1m16TXb50Sjw8Incctk+JNjXBoMTmLS4TDbgMYxnt6ehmeP65wO9p75TJdZxrMjZbgBABu2dkHABhOBCQcs0o3I4bp6jW3Y6cZk9mnJkfhTINc4BYmmckFeOcmMsSGiz5O5wUZTlZWcNeZC+TrT/nM6NM3TRyubMa+8ibMzXIhPz3GYJy6r6wJT943QyhO1r+fagahGj/UjC3/UQGPYkhE7qO+grtdZxrJH6XVYiFFy0eqW7D6hT3Ddi6898l5MuCJjbRLdW+I7lsi196EyBBNN1C6y4FZmTHS6810hSMuIgSbD1YPBlY3JkeRAY+sbb6IYEbJYW5WrHTX0ZTESFQ2+19uy0uNxIen5EZ/TEqIRIXktvpMGg+GBNkAyEUMiVHynVMZsWE4XicfHOjJTY7EwSo5e4F0lwOnG+We7INsQL8JOZVsRsxmsWDFzFT85Ujd8AsDmJwYiYOEoShFusuB05KB1EXdWJfDla340tx0qfcC8hpAb7Dxy3dOah5sFufE4/0T4gGo+uDkO388pHn/8mlJ2HqsTrrxQ3n2+IcqaSmEyKZTqXKUzWJBQWaMofz1vaVT8MSWE8J1+oqZp6fRraJutzHgcAP40k3pg19oK4AHb6GzPrHhIYb9BYytzxVNXSg+JRcoWOC5QK/bXKpJgT8lmOK+qcTYgs8hklEaiI2UD66CbCZnfDGe4I8wJoWbrQFySinTU53Sy5ottXEms4czSqYcDQ6FSHyel6ItB6+YmYIuhhbrjhvlZ7WlOf2/qfe73Wjtko/4ZLNJFgCdvX0GkbQ+2PHycXmzoUx1uLKZnEQ/ZOPH5desuKIjEgmZqdeV6NmDyvAohMjOzRrKSEtvUtjR2y+dohUJkXtFT59un1HMFiA2IoR8OirIjDFMfJ8QF4azRPfEO8fOk8FVQqQd9T5twukuB3lsIuo47dsEnO4ejvD6FKODjeJwlbzuguMrY8aoEeDpmM4xdDVnGs2dr11n5QfhljMsAyLsQejo8f+ctQicuUtrjMNDOXqfbSfkW9iPM5oA9FjgaV+XRTS6xJDNtQCHKluk11vZ1Dno7OzNZlc1y32/vJmciqYOzXUNEGfeZT3SODPCriVUwKMQwrFAFxlp6X+A3/zMRHJbYXbPRdNXLyR6ykx30bXrP+yv0GSOfrH1JB5bljOYUfJ2WQAwTHwvv0BfhO68MRHbjtcbSlr1Ok+UiqYuVDd3CstdenpNij84s6WiGJ4/PHM7IyGMzEKUw44Gye4pe5AN6PH/nLX3yD/tN1yUD0Y9pUX/BcLC4J2gn2FFwJmFRcGZMPKRpMYNAD48Ib+sxUzHoIU3qPS23ARsITy3qHETfYzP7H92nxv8/975XN+5YzK57L0zUvDG4RrDtUrW9ywnKVJ6WdkZYdcaKuBRCBkqc0NNG9YbaVElsWcEJZ7O3gFDcLRsWhK5bGUTnZalMkcX2ns02wcEXkKCC/zkxEjDa6J7we4zF6T9bbsZF00KO6PDqZjhJcTJBlG0M3x4Upyh0gFPCKdriIAzAZ1zDswO6YyPsEs7TocGB6G9V27ZWkkNkgj5OfZAByOY7GUMcQ0PsQF+atXdbuBoDZ0higixod1H85PhckiL2i3gdRdS++UUjKDJSY7C65fngrmHulYBhotQv9uN/eXN0ster6JnFfAohoTK3IjSqfogSPRjtVi0kgybxYIwu9UQHG05Sgsh7ZI3PwuA53aUaV4r2lSK7y/PkTx64I1DNdJBTDxDK+MKC0aTiW6orNhwnJE0MON0u8SE2VHHcPTVw3n6rWUMnTTbDRVss6CH0UEmiyPYhnYTHVEzM2LwqaQrsmheE4XNCjASQgaCgwDZOOYSI9vI2afcpCjp7zhFhiAT3K4TOFc2d+GvgmuNAQuQYdIT6rhgeLGvK7O3I+y5+wuk15sdF0ZmmJXo+Qoq4FEMi2/mRiRkbunq05SO1q/Mw6LJ8eSPbWpypEYLkJ8eTepfRNfRaMaQTj1uAB9+Sk9mF0EdQ25ypGZgYkGGE9NSaZE1hSs8BJDsQKE4zWjT5rgyJ0aFmgp4OJWUTsY4kIsmM0+e0pPkzCfGMZi1BwgLlhc9tzE8ksLtQWhhzFDTExkSjJ5LcsfW1Se/nZ5L8su29pg7txkuOUG42w3UtsqVMd1uT4BkhmPVdMCjv9z1u90oPkW3y1N09w2QD2dLb0zSzCpbMTPluszuAKpLS8FEJGTeQHReATB0af3fWycYhI8lFS3o6r1kNB4U7INliH/zRfTcOS1FPjC5Z0YK2SXx5t/fghe/OgtfmZeBF786C5sfWsB68os0OUvLwnB7E0+iN9LYbq4UwukeT4qWH8yaEWvuidTBGD3CUb9wAhYKjog3kvE5JjPOLcUlRkqNM/aDcwyccTEUsh2WgHy3nc1iEc51m5qsLX9PSqADrmBGJ2QHo0Qs6nrUD2Z9/WDNddutpQKea5xAtyOKRkvou4a9deJVczKw+aH5ePyuXGx+aD6cgnlA5Y2dBrfmOVm0y7HTYTdYvq+9lRZD67FYgK8uyEZBhlPzel4q7b6cEHX5xuFroXqZJblJ+MmKPCzJ9WiNKhjdPaXVLdLLUiycFCe97LzsWOllzRZ9ONk3Tqkt02QZwcooB3FGJXACA4pmxiwuTiblgsmuNs7ssanJ8g8QnKG5n543ZzbJ6hgUZJPmTXBpfvo/XzkNvQJF9yc6kfQpQamS03Agsuag0NtqiPBnnte10tauAp5rmJGYwUKNlnhsWY5wltbG/RW49+ld+Olbx3Hv07uEN7msuDBD59TH54xOxBYAs7JisGpOBj4qug2vPjgPHxXdhgWCAGCR7vWVM1ORHO3A5ocW4F+/kIfP5ibgX7+Qh68vmkC+/71Pzktbu3M0FlZG7UffXltYkIp5E+UDnpOMGwena4iCo+doZGiYjpgcM8BxWo5gZCG6+syFiJzBmx29I2NFQBEZIn8O9pTJl104QW6zoDVelnDGmJNUQZaqtqVLo6vZuL8SrnBzg3853xhOpu5z05OllhMNYBZxLc3yUhqeaxSR1iYQ7YiUkNkZFmzo5gKMLZXPfnAWy6dpa8qFBalw2INIDc/XF2XjhR1lGIAnOl9fmKfZf/flywfVQm+1ADt1LbOvH6zBo3dOwY5PGwb3bduJetydn0Ie61BeRN5/94q0HYxOolBGFkE/HXpzSTWr1ZxTpjL7BHTeZHeQCE5gQNHO0INwhNdxEcGob/c/uLBZAZOHRjIxPgLH6vzPkJxukHN/BniZJ87nEBZshfGRRx7ZjjYACBWUz87pOkJLKloQFWKu1BbEmIP3yl754ELWq8p7OaM6bfWM5H1kLFABzzWKrGmgv+hb0KkgSDRy4ivzs/CNz0zAx+XNmJ0Vg/z0GNS2dpEjHB5YkI0HFmQP6++zfmWewUxwwQ1xhoCn3+3GgfJmw2iKNy63g+pxhdOp/eJTDVj9whm/DMUAsbGbDG4A7zG0H9GOYDRLus7GRoWg3kT3GKdJmzGyCg67FfBf4w2bRV603MMoU3mGpfp/vjw3P7ntOewWdElmeSYkhpsKeDha7IiQYHT0yt1sGZIU6RKNCI5lAMen6bhJc05Ojud0vfxn+A7hIyTiiS0n8Gcfzx9fM0LfQGik7yOjjQp4rlE4poGBQh8EZceFk0GMN3DJH24SuYVeL/XU4TvSwUuxwBDt3IUO0j2Z2rxIk/L0B2c0AdP3Nx/F127JGupoNDjDzHXRcHQmdoYZ4MTYCByv9f+Czgli7FZ5L8EQm7mnak732PSUaHwk6YDcZ6b3G56uuHZJPUUfo3x2oNxMbgQIZsziig4NxnnJzj5XWDAaJctaNouZUBIICbYBXXJBTxWj82pORgzelG1jJ+A0EXBm5oUyln3d5wHPN2vjm/m2WoDHluZcU23tSsNzjUJpbbymgWPK5RuPXgRX1kgEIW6PmPlwZTOe33kGhyubB5elyl8yQQwANApSvytmJGu6sTYU5glbdqgWUk4QEhUmLwql4Ig/axhCQ067OwVHn8AJFc5fNCeW7GB45bQy0huiQbSynG+Td3XmuB83tJnstmN8ONUMPyU7o6stxGQHHEfHxLE9CGfMZaP4hDEyw8Yof51u8P9BxZv51j9Iet3qfRtExsV9xE9UhucaRjTuYbQQBTEvfVSGF3aWSXn2/O/ucoPe59E7p5B6HVm9rEh0eHtuEj6fn4L3TzRgcU48luQm4S+Hq8ll9VgA5Kc7pZedPzEWRySnZFNMiAvHYcn3J0WF4rRkFoEjvKZwhtrQ0i33VB0ZEoQmyVKbp/Tjv6txmN0iLfrlzDnjjNKg4OiFONkzm9WCPhNGiyFBVvRKBon9bvljcDNC4qjQYLRKfpco+hnBqD3Iig5JMRUnSKXgWDfcMTURJ2VLaBZzwXf5Bbp8deFir2Yg8tWMyvBc4/hOH/cXf1sSyRZ2C/D8jjJpzx69h8SmkmrUt3V7vHF8njoeW5Yj7Z8SI8iubCqpwpqXD+B3eyuw5uUD+M4fDwm9dQzbskB6arQbwA3xEXLrFXC2QX6QZCZjIjdHy0ARI7AdoJB1zAZ42SCKCEbXkUjASmF2qCnn/sGZaMAJLCg4E9DtJsuNIqIZ3yUKgV0OCSeblBpj7sGxm6Et4tgWmH1YOVTZTFqOvFB81uAAfbW2p6uARzEkZloSqbLamoXZZDnI69lTXLQYrz44D8VFi4WePR9f1if4PnVcuNhD63CIdnmnIOB5/6TWqGxTSbWwHZrKXB1leOvsOkO38srepjhlqiqGPxAn40ChH6o6FB098hd+N+exmOAiZzI74yZjZqwEAHBON6ebi3FqSTjJIdrfl6aN0ZYeHyE/qoWCo9tqYQSudZKuzCI4mbf3jssLkTkGkBSn69sNXmgLJsUN2aV6teF3wHPp0iW89957+M1vfoOLFz11/5qaGrS3m1WwK8YLopZETnSvD2L+bmG2IYvh6wvhm5Gam+Ui15kVF+YRKV/+2w3ghZ1lpBdQkU/mx2scls54Qmto6yGfeqhtcS4CzZJDM0XX7ExJ23wAuMjI2oSaHNKZECmvTeJM9HabzKVzbn4cM0GTMhPWfnGe30ODzD3tc6a3cEwdOxlRG8fIk4JTbbzECELOMDqnKBiyHHQxxq/0C44hL0VrqirSTHdfGjB4oYkaP8LsV2euxK+9PnfuHPLy8nDPPfdg7dq1aGjwPBk/8cQTePTRRwO6g4qxYzgPGlmGLasJrpf56TEoLNA+cQg9ewAsvEFrxrdiZgo+rbuoCYz2lTWhg3ERyU+PxvqVeZqgaX1hnuFJaMXMFGQyxh+IhNN6RJdhThBjZ1xhL5pMDYQyxNScJ9Jek4M/exiKXzvD+j8/zenH3lwhmBGYcEpaHAE9BaccxAkWOJ+imcGhAK8FnpWnM1k6cjCiZE6J+JBgtIR+lI8o2RlJXFdFn1enyczmWOHXr+Jb3/oWZs+ejebmZjgcVy5a9957L7Zt2xawnVOMLZQGx2xL4lDdWBRP3jcDb6y9GT+4KxdvrL0ZT943Y7Dd3RcLjCaDm0uqNb48gKdM1dV7iXw/RZg9GPvKmjRB04cnGwxPQq8fpH18RCyeEs9aXk8Hw8CtuVO+Y8ek7nGwfCnDeYbPilmxpCNYfr8sjADR7LwnTqmOM8WimxHUk9tinO8eRtYm3G4uWOAQYjLLJWQUlbsxYfJlvW6GASRFRKjcd9li4Tk1jyf8Cnh27tyJxx9/HHa7Nn2dlZWF6mq5rhbF+Ifb2i4jbu4SPHZ1XnZFpdaRnx6DNbdM0Pj2UC3osm3pRwQzdvSXR5vFgs7ePkPQ9PbROjLzVX9RvrY/JZme3SULpzQwwLjuu01GPIlR8lb4vf3yN2WLyQx6UJB85olTPtM/PXPhxCWcZ2qz54v1NWB8v8LsDA8ak8dgY9QLOS7pZoXqHO3a8Tr57xdnoDCF9CiPq7hTy6+29IGBAfQTF6uqqipERkYS71Bcrci2tlPOx17nTl/ONtLdReWNndLrOEDM2KIQtfHGRtjJ4GjRpDjs8MkSrZiZItxfPTaLBZ+bnoLXDtZKLQ+3sZXeYpF/eEyODEWTpCNyWFAQLkLuIp3mDMOFDv9v4nEMoemUpEjsL2+RWjYsOAitsk54BJkuh/T54gx35IxVoAgJsqBLstwm78kMJEWGorzZf3FtbIQd5yV1ZtGOIDRJ3iw5WYjwkCC0SNoWkDDu/67wYHS0yGUcI0OD0dbjv8/RlMQIHJS0lOCUYl3hdlSbGO0yLTkK5ReGLyO6gavWadmvGPqOO+7Af/zHfwz+bbFY0N7ejn/5l3/B8uXLA7VvinHCcBocjrh5OCEytQ591kf0BP7lm9I12agNhXmkBuizU5NIIXLxaePcrQmClu61iycaMl9LcpMM21s+zbgtm8WCWVkxhtb623ISyG1R9AzIPyX2MAQZvSanf9e1yusuUp3y2aCYMHOWYec5Rnysco65x12HXf64WMJrk0/hnJbwOMZkdU41qJsjwiHokrXxBlDLCBSaGCViiqmp0dLLMiRxrIwWxSmGGPtqFS37dRX55S9/iaVLl2Lq1Kno7u7Gl7/8ZZw6dQpxcXF49dVXA72PinEOZ96KV4jsWyYSCZH73W68VFyOF4rPGkwKqZEVj9w2CY/cNkmTjVo1JwP3z8/UzO0CYJy7NYmeuxVmD0ZBhhMlFS2DrxdkOPHdO3Pwf+ZlGjJfc7Nd2HywGm63J2PzmSnxcNhtmm2tmJmC5GgH9pU1aQK8LpYHDkOTwli2olne34fiVL38+z9lzCRqZrQzU3DmMg0wMjwmu+XRz7A05gQxZh2gOd8D/XDboeDslwnPQQA8m0rOuTU5iJ71vec4XnOsFyg4jtml1a3DjwYah/gV8KSnp+Pw4cPYuHEjDh8+jPb2dqxZswarV6/WiJgV4xeZSbmycOd2PXnfDEMQUtvaZXRPBgaDHeBK1qe4aDFW6oKmlQWpSI52oLa1y2C6lp8eo/lx1rZ2YbNOl6MPdrx09vbhoE+wAwAHK1quZJt8tuXNdPn6A1Ezvl4/WIPleUkGbdAuyflNALAkNwGn68uklp2YEIGPdccgos9kasDBEPHWM7IuVrNOy8FWtMk+8TMelCNDbWgzcWf2zEoyeWcncIXZUWOivMFIILL8gXpNZsQ4BAGQfYSwWwHZxiNOaZGC82ATESpfLowMDUaz5OwwiihHMNp75b4znN/ueIId8PT19SEnJwdvvvkmVq9ejdWrV4/EfilGEFmtjCxecfP3Nx9Fv9stNbdLH4RQ61izMAvP7dTe1PvdbpScazYELJtLqjE5KRJPbDlhOC59cHfgXLN01eJwZQup9/n1ttP4w/4KzbbSXWHkjC89/W433j/RYPwHBnOzXPjNh3IBTzejpGWy+5ulf+E8kSZGhZjK8tyYFo3dZ+S0XxwzQFd4sKmAp3uERkuYzdSZzVyJMFek4mG1QTqW5CTEzDZkVzIGlXKGh8ZFhKDChG6Lk21ckisuvwfyYTrQsAtxwcHB6O425zTpZf369ZgzZw4iIyORkJCAFStW4OTJk5plzpw5g3vvvRfx8fGIiorCfffdh/Pnte6TTU1NWL16NaKiouB0OrFmzRplgCggEGaCFHqDQX8CKP06HliYTepfLnQYXZXdADa8fcJwXL/58IzBKbqpg1GvF3RkvLqvwrAtUQca1f21OMdcW/rrB+W7IdOc8hedcJOtMZyAh3MxvyApoBVhdcunbTg3+zYzolrwOsI4HfBt3eZuy6GMNv7xCmPEFziJpxCTZpMcU8gORjaIc12jaLwo/0DR2O7Zll5facaZfzTw6+q2du1aPPHEE7h0ydyP/cMPP8TatWuxZ88evPvuu+jr68Mdd9yBjg7P00lHRwfuuOMOWCwWbN++HR999BF6e3vx+c9/HgM+0ejq1atx7NgxvPvuu3jzzTexY8cOfP3rXze1b9cqgTITpBCJm7mzuLxlIlFbvCuc7gSiRlZs2GIMgjgzZ0QmhdS2Dle2kMt+aW6Gwe15aoq8cJGCM8AwmRHwBHFsYAk4wZWDcefoMdkNdYQx9oNzBlpkW3kFmPSwGzHcjABxpNyiGf6P5jfGIIPhck7BEapzPI7M6tw4IfLbpbWG4OY3O86MyMN0IPFLw7N//35s27YNf/3rX5GXl4fwcO0XYPPmzVLr2bp1q+bv//mf/0FCQgIOHDiARYsW4aOPPkJ5eTkOHjyIqCiPb8nLL7+MmJgYbN++HbfffjuOHz+OrVu3Yv/+/Zg9ezYA4Ne//jWWL1+OX/7yl0hJSfHnEK9ZuHobs3DKZ6Jl9W3xta1d0ul9KjBxCWZpUeflc9OT8RphKmgQTVuAeIEHzZmGdoPbc7pgKKksn52ahH2SLd0TE+hBpRSZseFoEvgUyZCTFIXdZXKlo4SIUDRIPlVOTY7GnnK59VJwxh+ku0JR3iQXUEaEMLRBFIzMAmPmJIIs5jq14iPs6JAsj7jCgtEo2fIfGWJDm6QPjdnyKkdbFGKTnz/GMfIktxVsRbjdJuX4bg+yok/yQKalROMjhg5QT1RoEFq75QL4+MgQQ3DzhM/DpRdR88pY4dfjnNPpRGFhIe68806kpKQgOjpa85+/tLZ6LrQul6d1uaenBxaLBSEhV57oQ0NDYbVaUVxcDADYvXs3nE7nYLADALfffjusViv27t1LbqenpwdtbW2a/64XuGaCZuCUz4ZaVp85So52YEOhtqX7wVuyyX2ghoemxThIp+XHluVIt5pTbtHTU6PJh8q9ZdqLkNftWf9kzJqVJLCnp8pneYw22JYuc6WjnWfktUmRks6uAKQvxCI44w/uzEuWXjY9xlzgyplqzgmrGD6LJJwp3RwnA45FwmjC8MBES4e572JZQ4f8eBuGA2SLyS6tHkbFxu02ln5FpeDx1MLu18/ipZdeCvR+YGBgAN/+9rexYMECTJs2DQAwb948hIeH47HHHsPPf/5zuN1uFBUVob+/H7W1HoO3uro6JCRoBVRBQUFwuVyoq6sjt7V+/Xr86Ec/CvgxXC3ImgmahdOuzlkWMB4D4Bkgqm9VXzYtCW+XXvkerJiZgo7eflIDND3VieKixYbzou8qq2zuwttHjd+tquYubCjM02Splk9LwpulxmXLGzsNrfFLpyVh69E6qVvg2QZalPqluRnYuL9SIx7nzA4zq0npZGyrukW+LFfeaE6Td4kh6Ghul79x1DLa3Sk6e0dGHdxrsnW6lZG1amX0aXOcpTkibbOwvvUmd4wzhqqL8f2oZoihKTiuGBUSBoVextPcrXETeq1duxZHjx7FH/7wh8HX4uPj8ac//Ql/+ctfEBERgejoaLS0tKCgoOBym6p/rFu3Dq2trYP/VVZWBuIQriqGHeg5DDK6HM4sLn/ndg31hOwGsEUXbGw+WI1wu23IbVHrTIgKRW5KFBKiQoXiwKaOXqyak4HXHroZj9+Vi9ceuhkPLppALpsVF2boNNt6tA7L8pI0r01KoPUCfYK+4UeW3ICHbp2ASfHheOjWCVg1J0MopqbISTLnlJ7hlM94RDFc1WLC5c3tKDijEmoYfiRRJhWsHJ0K5+nU5OxQFpxj4GQxORPbR5NQszMvGHBChV6T2TPOZyMalExlmMfT3C2/MjzZ2dlDCj/Pnj3LWt/DDz88KDZOS0vT/Nsdd9yBM2fOoLGxEUFBQXA6nUhKSsKECZ4bSVJSEurr6zXvuXTpEpqampCUpL15eAkJCdGUyRQ8ZHU5nHZ1bmu7fh/WLMwmQx+q9FTV3EVua8enDeRx6bf1xbnp5D65wu3kuaGMFjsFWaa3dQGayMjvQnsvqSNa+h870Ho5S3Pq/TP4/b4KrL5JvmOuz2Q/chfjosvRmKQ6HaZ8ZWxWq3TtpYrT0m3S3TYk2IpLkk/AnJsfx7DONIyMB+sGPj6rX+gzeXKDLbyuMFk6Ta6Uc1Ttlwcw6zPqRcty8IutJ6XtSUYbvwKeb3/725q/+/r6cPDgQWzduhXf/e53pdfjdrvxyCOP4LXXXsMHH3yA7GxahwEAcXFxAIDt27ejvr4ed999NwBg/vz5aGlpwYEDBzBr1qzBZQYGBnDTTTcxj0wxHCKtzaLJ8VKlp6G+/LLLUvvwYnEZ+QMkgyA3XRJbsGG74bhykiIN2/rD3koy2EiLceDep3cZ1vG9pVM025+b7UKLSbvW2HBiHpgbg8GOl6aOPpQKusco7CZbY84zgpIYh/zlp7bVnBWGPciGDknxJ6sF3mRgcYkhgOFqeMw00XKqNiMVXHH8kEYTkw2DI+ZxNJocKKe9zO6ekYK7Z6SMuFzCX/wKeL71rW+Rrz/11FP4+OOPpdezdu1avPLKK3jjjTcQGRk5qLmJjo4edGx+6aWXkJubi/j4eOzevRvf+ta38A//8A+YMsVzE8nNzcXSpUvx4IMP4tlnn0VfXx8efvhhfPGLX1QdWiMAV2sDeLI3sl98mWWpfRhwA19flI0Xd5YPPl18b+kUbNhywhAEzcqKMWxr15lG8rj2lzcbtwXjoNGVM1PR0dtPrmP9lhOa14o2leLH99w45DEORy8jPXJGcgAqAExOikLxGf87PTii5y7GzZ4j7qWICQ9Cs2SQydEc3JgajfIm/7UTIxUsmL0pB1sAWfnIOE3EjBhmP7Jr4Xz1EtGoG0DJuWbcNT1l3AU6XgJajFy2bBk2bdokvfwzzzyD1tZW3HrrrUhOTh78b+PGjYPLnDx5EitWrEBubi5+/OMf45/+6Z/wy1/+UrOe3//+98jJycGSJUuwfPlyLFy4EM8991zAjktxBX+1NqOxDw8syMbmh+bj8btysfmh+fjGZyZ6urkuL2MFsKEwj/wxhgtc3UTGcDuJQaOyWpmAPOAxEjE3Jst1aVkA3DPD3ENCWLD8M1QGo8MpPcbcBZSTt3KGy4tHEhjT4SkSo+Tfn5Moby9g9jsWPkICmnFqO6QA77OxC0RizZ29bN+10cRk86KW//f//t9gS7kMMi6jGzZswIYNG4ZcxuVy4ZVXXpHersJ//BkjMRL7oO9wWjEzRajBkSmTiTqZzgm6EfRf3X63Gx+dviB9DGYN5+wMt9YFk+Kw9ZPzhtfX3joRT31wZvDvDYV55nYKQIjdCkhe5xZNjsdfjtCdlHouMDqnKBouymeeMmLCcKFDzoto88Eqf3cJgPjGQZEYZccJ48c4IoQwSpvRDP+WkZkcZp5gq7xvD2NiBclodp+NFDnJkTheZ+yc/KTmIn7w+jG44TnODYXmxhYFGr8CnpkzZ2pEy263G3V1dWhoaMDTTz8dsJ1TjE9Gsq39cGUz9pU3YW6WSziNt7a1C6/pRiu8drBaEwANuIGizaWD2iJqH31nvogMGYfqRvC9aNksFtaYgMomc87WVYwW1FaBP8fH57Slq31lTThRa86TyhVmR62kjud4zUXp9Yq60qRhBJjlF+RLgJw2fIpGwegSiv2SRpMAYLOaK5d1MVz7OE1L41SWA5vVIi3YZ+jfScZrsMPZr0sDblIz+eq+Co3JatGmUqG+cyzwK+C55557NAGP1WpFfHw8br31VuTk5ARs5xTjF44uR5bv/PGQoZvpyftmGJYTaXj0uN3emrJxP6luKiprJLpR3pWXjLeP1g6+/+crpyEuwo6Xdp2TOtaT5+Vv9hQRjHboSkGWaq/OEXlTSTWWmJzx1c4wPztwjqEVMnmnzGO40PYxXOhCgizoM+GlY2VEYp2MIMRk8xjiIuzSWRsLwyJkvN7sexiaOI6D87VKY1sPVuq6T+dmxWCvzg3dDY/A+XP5V3HA88Mf/jDAu6G43jlc2az58QCeG/D98zMNmR6R3oaCSrrUtnahaFPp4MV3wO15EtHz+sEaPJdXQK43My5M040F8J72EyLoMRQUEXYb2n3WneFyIJWhf+EMIOQM9KToYbTW1LfLd3Rd5LiiEfQyWmNsVvnCi9lOohC7FQjMLGYd5gonbYzAtc2kO7cIK0YvIzReA7HxSmdfv+F6rQ92vIyneXF+Xd1sNpvB+wYALly4AJvN5ChZxXXJvnL66ftj4kck6xzs25Hly4FzxpZKN+i5W2H2YHK0xFPvn9G89timUhyrlp9Bdee0ROll23XHW9HUxXJVPd8mH1hwzAApOAFPUqR80GcPMnddqW2WLyFGhsoLdq0cR0MC0Vw3cluM9YYwNF4UFxkBj+wMKi4qCBm/1DFsItJMNhwEEr8CHpFWoaenB3a7OUdUxfXJ3Cxa7D6bCFhEXVrrluVIdWTJam1E3Wc1gu6DE3V0mSpX111TWJDK0khQcAKeesZk9TOCkRWyRIbKB0xBDGFsJ8MtmkKkY6LgdBxyBnpStDNmhDns8uerw8xAU/DGDIwUKuAZvwxlPKxnPI2WYD3O/epXvwLgOdgXXngBERFXLuT9/f3YsWOH0vAo/CI/PYZ0JKaEy6IurW98ZqKU6dXsLBftEro8B7/YonUJrW/rNqRuD1XSmZxEwbT0DV+YDgCDs7jy02Pw291l5LKyhDC6e25IjMA5yQBpaV4SDjCMCvXERoagQnLK9pSkSOw/J7etxKgQtHb7L/ROjgrFxQa594cyskmRIUFoMjF/rJsR+EbYg9BhdkiWJGHBFnSMhB3wOMVu5c24ut5Jjg5FHZE5ppo5rtrREv/+7/8OwPOE/Oyzz2rKV3a7HVlZWXj22WcDu4eKqwbfrid/BM36IZ2cLq3XD9bg0TunSImpk6MdBsHdyoJUfGPRRMzLdmF/eTPmXN7+8zvPDLEmLV++KQOn6ttRUtEy+FpBhhP56TGobe0anMUFAK5wc/4t+elO7CkzlvtW5Kfg9cM1g38/cXmq/LYTclPMJ8TTs7tkSYtx4GCFXGmvimHYZ7YbiqPhOdsgP6i0u99cKqSbMYqjuUM+2AkPsaHNRK2J04XEadMOCwY6RydmY2EdRcHQaGqTRopoQdk32RmKGp+hwPnp0eOmQwtgBjxlZZ6n0sWLF2Pz5s2IiaFvSIrrD9n5WsORny4OdLz44/bsiyhgmpwYOejM7PWQEJXaFk+Jx/snrwQRhQWpSIgKxSFdduRwZSt+8+EZPLH1hObcyA7pFElP81Kd5PK5KVH485GawW0BYI2x+N1uuS4zEamMi9vhGnnNUxuj9EMxwAh49OM5hoJRKRO8Xz4o4YQvNpNtWharW3qDnJt3SJANnWbrgCOAya8XC3vQ6G5vJKgUZIx9gx0AKKloweHK5mGv6aOFXxqe999/XwU7ikFE87VGymnTrNuzKGBa7zOGwushkRAVahAtFxakYum0pMGGYgs887FE692w5YTh3BSf0jo1c3HYjQ3NFmAwsPLdFkcM0dpj7g7O8Qe6IU4+m2Qz2eqRzuhq4xRyGA2DJJymuH7GjrWZKLMBQJBlZFrN27rGX7Az2lztwQ4A9DAGtb1x0JNxHg8OzH63ZFRVVeHPf/4zKioq0NurbUv8t3/7N9M7prh6MJtx4WLW7ZkyGaQyKV4PiSfvm4HleUl4/2QDFk+Jx9SUaCzYsF0THH1/81E8dz/dwk51f5VKdnSJbiZ/PXae7jQjPoeSc3S7KMUNcREoOSefedHTzlC7Pv65qVj59C6pG3m/yYmL1YyLbAcj6HObrE2MVLLD7GqpWUmBgLNfoUEWdDP8cRSjRxdH8GQJXAXALH4FPNu2bcPdd9+NCRMm4MSJE5g2bRrKy8vhdrtRUEBf9BXXLiKX4pEUq5lxe6YCplVz0/DK3krDshbdj/WVvRX42sJsMsAra5QX1Trs9BO0rHvK+bZuqaANABoYfjdzsl3444Hq4RcUEMOYQ7WvrEk6axEabDWnSWGkR8LsNvRIZiJsQYwpmwQMc25EMXQ5QQDMJBI44Y7ZUQsiLnFSWopRJSo0CBckxVi5yZF4bJOxAjAWDsx+lbTWrVuHRx99FKWlpQgNDcWmTZtQWVmJz3zmM/ibv/mbQO+jYpzjDSC8ZYfRmq+VHO3A/Imxw26HSqWumpOB4qLFePXBeSguWoxHbptkLBFZPCJcfbnuhZ1lZEltTlaMtG+uRbBk0fIczXn8zKQ4crmc5EjcO1NbapubTZeZ+xgK1OO15hygOTMcthyVm6MF8KbDU3A0QLGMgaAOxrBUCo7UJp7hW8SoSJFwXBM4wQ6nMKmSO+MXjk1EZVOXsAIw2vj1szh+/Djuv/9+AEBQUBC6uroQERGBH//4x3jiiScCuoOKqwN9ADFeBsZt3F+BBRu248vP78WCDduxcX/F4L/5BkzJ0Q7PZPXLV2SrBdiwMg8dvf3GMRYAvrZwgiHASxC0pVPcNT2Z1AZ9Y9FEzcT3L8xOI9+f6gwzCK/3EV1bADB/Yqz0fp1jzJGiuJmxrQWMZSclyU8Kp4hlZJ5ykuUE5QAwKcFcV5szTH6/0mPkv1+MaQ8kMWHygVxEiPzGOJonk4eA6FD5jZnVYl1vhATLn7CEqBBTmstA4tfjSXh4+KBuJzk5GWfOnMGNN94IAGhsNCfGVFy9jMR8LTOIxNSiVOqqORnISYrUtKUfrqSDiLumJ+GBhVmaktquM41kSSkhMgT1F6+UlTJcDkxNicaDvz2gWe71gzWYnBSJDW9f6RRbu3gifXAW4/wwatsWABPj5YMFzvRuirSYcBRkODWt+VMSI3DyvLHVO5Rx0bxvdjpreKaeNoYup6JRXu/TbtJm2BVhR6Nku/nRGvnBrgxPR5L48BA0d8o9xXME5ZzdMqsiYpXEVDaJRY/ATsHgb2YBluQmIthm9VtzGUj8CnjmzZuH4uJi5ObmYvny5fjOd76D0tJSbN68GfPmzQv0PioUfsEVU1PCujDBo19lUxfy02M066G0TFYL0HBRq6Gpbu7GgXPNdKfY2ycG/3YD+K/3aR8gV5id1E19b+kUrN9yZR0bCvMMrfJD8YVZadhy9Lz08no6e/s0wQ4AMtgBgG0n5LfzDqP8RdHNEFkeYwQWHIt9igvt8nOoZAMjwLzXTWWLfNDX2i0f9DEWNU0Hoy6nTAd5iDyhbp4Yi91nL2iuocnRDlOay0Di1+Pcv/3bv+Gmm24CAPzoRz/CkiVLsHHjRmRlZeHFF18M6A4qFP4iGjIaRgiGRdmgFsGdg3qopbRMaxZmk11azR3mBi6mxdC6qU91U9j3lTUhK1a+7NJkcr/+ekw+iKlnzPjaL5i1JgvHPZlTDursM9dj3MXQQnAu1pwyE0Ww2XqS4ppGJAtMcznwUdFtePXBefio6DaNtEFWczmSsDM8/f39qKqqwvTpHrv88PBw5a6sGJeIhoxSs11E2aCYMDuZpi3IpAXC+ieZ+rZuPL+TGCNhsuRQ2dRFbusx3dT3TSXV+NubM6XX+w4jYKE4yhigypml1WuyY4dnjmdBn2TnVZeJDi0AcIbZ0dkqF/jZrMCA5IEEm7QO7hqhtnTFtYHoW58eEzbupA2+sON4m82GO+64A83N8t4eCsVYwMnwiMwMZ2XFkGLm4X7Q7suXBFHQZTLeQUvXlUyMd1vvHaeDlQuMtvRcSQdoEW6GGOKGBHltUQjHoY8gijHUNC5cXhxsNhPiYOiYOPKqDpPTP0fKH8js914xPhB9bU36g444fml4pk2bhrNnzyI7OzvQ+6NQBAxOhmcoM0NO/VmvA3psaQ6ptXGG2U0dm9NhN2zr8/kp5LKcdmaryZEEMzNi8Emt3Cyqz0xOQLTDrplpluoMRXWLURdjM6nC7eKUnhibmpQQiWN1/rfydzBKWpwgZLwmaIJtgMmxaIpxQGRoMHoIHU9P34DpmYojiV8Bz09/+lM8+uij+MlPfoJZs2YhPFyrEYiKigrIzikUZsiOCyenoovaIYcKbGTStJQO6BdbT+KxZcYp7LMEJTFZ0l0O3Pv0Ls22/nyohlx2wQ2x+O+PyqXWK+q+kCUnSf63f/vURIOgWpTxyE2ORPFp/3U8Hr8cOSUvp9TW1GlO8xTlCEZdm9w6goMsuCQ5wdw+ii7FkSFWXOyRi7BiI0JQK1nCM0uQRd7LJxiy3w4F4CldNXYYy9etXX1YsGH7mDsqi/Ar4Fm+fDkA4O6774bFJ4fldrthsVjQ369CeMXI49eTxDD3MjP1Z5EOaHqqE8VFizWB1Lbj5rqO3j5aK9WWDvAEv5yuIYoT5+kOpzRnKKp8MjcFGU7Ut3VrsjsAcLqB9gH6zOQEUwFPVmw4yiWns6c5w3C6Qc4UrfGiuZt3J8MQ0W61okvS5s9uMxfwcBRAIUHyAU9o0OjVPDgu1tfAeKtRpUrQxffb3ecGr0Nj6agswq+A5/333w/0figULGRms5Q1dhjnTbkxYjO+hhux4atv2X6inlzHvGwX9pU3DR7X5MQInKgzlog+qW4zbEvEgXMt0scQGSpvhEfxKbGvADTBDuCZovz6QTojRXGuyZwhYjNjYvwlxp3SKjsLREAVI9vhsNvQKun7M5oi7xZJvx4AKL9gro2fA+exW9nw8PDVEPpCdaR6r7fjodTlV8Dzmc98JtD7oVBIM5ShIIDBH9Voz/gS6YB2fNpgCM5uy0nA74nZXQ8uysa65TmD5of7yprwMx9vHi+LJsejo7df43kzIT4MZ4nMxOTECOwvl2syyGW4DFOkOUOxX3LZToawttekUUpkiLw42M0YVJriDEVZ0+jcxPsZgVjfKM5l4Mx1VYHFtQEnT9fZ23d1Dw8FgJ07d+I3v/kNzp49iz/96U9ITU3F//7v/yI7OxsLFy4M5D4qFBpEpaOXPirDCzvLND8qM1PV/UHv1pwQFTpY0wauBGfFRYuR4XKgwqfMkuFyoLG9Fw/+9sDgMXxtId0Y4LDbDAZ/VLADALnJtK5G74BckOFECyMTQhETJj+HKoMReB7QHSsXjhX+8fPyIuQB9/hsSxlNUcE41UcrRhCr9Jhj4EhVK369/fTVMzx079696Ou7ciHctGkT7rzzTjgcDpSUlKCnx5OWbW1txc9//vOR2VOF4jJUC7nVAjy/o4z8UY3mjK+N+ytw79O78NO3juPep3fhpeIyMjgrOdeMqmZtHbyquQtFm+QGlZ6pl+uEAsSXJb0D8sHKFjgd5kpasZF2FGQ4Na9NiKOND08J9D4UTR3mtDLljfIlMU6neZ+sMY4ATrjUbdLkcDxgbtSqYrwQGyHfZRobYb+6hofu3bsXd9xxBy5e9Dz5/PSnP8Wzzz6L559/HsHBVy6QCxYsQElJycjsqUJxGY6jsbd+LOvwSU1Wl4UqtYkClgG32ziU1G0MTryDSr0/VCuAn6+chgkMDxvvGApfqO5ztxuGIMwfDJknQbBRWiWfSekz2WfdwuimsjPMdYJNtvHHhsuHABwR8ngdhnn1h2wKAGiWnF1iAZCf5jQE9kN1y44kUr/sv//7v8fnPve5Qe3OyZMnsWjRIsNy0dHRaGlpCegOKhQU+unsf7cw2/RE3qEmq8tAldpEk9UzXHL7ZYEnazJ4xbj8v7fnJgqX1/x92RV6/UqteeIX56ST7+826Th3vFbeaTnZKV/+mpRoTluUzRigGh8uv1+5ydH+7M4gt1zWnckQwmiX5xgtUnACJpObGvX1Kswz4JZ7AHHD8xBlaB4J+B7JIf0o853vfAf/9V//BQBISkrC6dOnDcsUFxdjwoQJgds7hWIIfDM3VNaHo9cRCaE5mR6Rs/Nd05MMZbXDVS3S693w9gnDfgFAYUGqZrnleUlkV5r+/7vdQLDAufg0o1RGwZkeHhEif0eblCgfsJDbsstvy8EQOPuTCfSFU2rrYWR4ukwGrqJZSWaX5WCzmLOxVuPARg7Zz8ZiAS4IytEHJBspAgkrhr755psBAA8++CC+9a1v4b//+79hsVhQU1OD3bt349FHH8UPfvCDEdlRhWI49ILh/HR5cz/uZHWK4ZydfdvSGyX9bqhbXL/bjQPlzXjtoNbDZotgovh7n5zHv/z52OC63PD4ZVC0MXxhKGZnuvDByUapZU+dZ7Sam/SsL78gv62MmHDsgdzF+GyD/y7LAHC0Wl7HFGwDZAeA95rs0uJ0tZuUMQnhTDunUGLqkaNH8rNxuwGLQKk2FmMo/EoaFhUVYWBgAEuWLEFnZycWLVqEkJAQPProo3jkkUcCvY8KhRRmWh+Ha2GX8ZAQreNIdQu+/PweuOEpOW0ozEN+mlwpxHtN8L3/2CwWgPDgEXUtnyWCOdH9bFpylHQLO0VilHw5KNkZgjOSGQ5XuDkx9bSUaGnjQY5jndtizoiHc9GPiwhFRbNcC3ywzYI+Tr+4jhArIOklyDp6ztkyN/5UMZJwHouqmmlxcqjZQXR+4NcWLRYL/umf/glNTU04evQo9uzZg4aGBvzkJz8J9P4pFFKYLUklRztw70xtiWjFzBQkRzuktT3UOu68MREb3j6hya4UbSpFl+AJyXD/swBFy3IMpbpZmTGkEJAijtFRUdtmzlPmrSO10svOnxhnCGQiBOWkkCD69UkJ2g6wrFhaG8XxsNl3Tj7g80wl95+kKPk5Z5z4xWyGhxNocLY0Ussqxi8NguHFY9GlZUoWZrfbERkZicjISEREmKuxKxRmMFuSqm3tMpSIXj9Yg/vnZwpNDvXrpdax5VgdKdhr7ug1ZIOoJ1q3G5ieZhxNwdGOyAqkASDaRFu6jZmjrmnpQpNuACGlAbIAmC7IiJ2q12aIyi/QF9EaxvnKcjmE69GT4QpDM6MspSeSocztY8w5s1kBM2PROOWzIAsgOeKLhQp4rg1yk6IAGF3Vx22Xlp5Lly7hBz/4AaKjo5GVlYWsrCxER0fj8ccf1/j1KBSjBeXNw+nSEgVM+8ubpT0kqHWIEguucLtBZP3NxRPJZcPsVkNrPTk2g3ivxeK5Kcu0pQPAHTfS3V8U87Jdmuaxn6+chrumJ0u//9R5eYF0DTFBnUM7Q5tkEwi6SUzqEC4xxDL9DJNDE9Wsy++X31boeO2BV4wLLgoc1btNarT8wa+A55FHHsFzzz2HX/ziFzh48CAOHjyIX/ziF3jxxRfx93//94HeR4ViWMx2aYkCpjlZMdKBlMgQUY+3VVzfWr/ghjhy3zqJsQqijjA9brfn/TPSnZrXZ6Q78URhniZgeaIwDw5GN5PFCk2pbl9ZE1Jj5J/aZuoMCkW4ARytlm93p5h/Q6z0so2CFDxFGaPLikIkdKcIs8tfrh0mgxBOGdQxBloMxdWBzWJBsMBOoanD3KBif/CrpPXKK6/gD3/4A5YtWzb42vTp05Geno4vfelLeOaZZwK2gwqFLKvmZGDR5HhN6UcW0Rys/HSPh826TaUYwBXjP2rdonUAMIipve/3nc5eL9DPhNmtBtF0RZNcycVmsaCzt89gBlhS0YJ/+fxUvPDVWXj/RAMW58RjSW4Salu7jKU2wZDS3We008s3lVRjeV6S9PvnZrvwmx1lUsch0gHIEsxocY5hlPX6TQ7p7GXUnVokzd6466VoY4wY6WQEbaNJ8AiV2hRi0pyhqGnp1lwrewW+BVdNl1ZISAiysrIMr2dnZ8Nul38yUCgCjW8AwWXIgMnbXjLMj1S0DplATPS0/1ZprWFGWLjAw+bLN6Vj474qTcAlcjr+wetHceSy/uR3eytQWJCKJ++bgXtnpmJTyRUtUqozFJWS3UHljZ2GoO/vFmbh+Z3GwKaMIVpsNvk0+N6J89LLdjA8bKLDgtHBmHiuh1N64mSDTLoLoE22RQtAh8nBriOFCnZGn9auXrgvXysHq6Lj6HPwK+B5+OGH8ZOf/AQvvfQSQkI8bag9PT342c9+hocffjigO6hQmEWmpdyLPmAaajK7aF1U0CUTiFFt7d4ZYd6XvNt/7v4Cch2rZqfjkdsmaYKrbcdpf54jOrGtN0OjF17LBjsAEOUIwt/MNg5QfVE3U8y3XChz0zebRXCF2aWPo7VDPruxcGIc/lhSPfyCAvoZEQ+j0QxBMDfGgZMdGUf3M8UYc9EnUHa7gaLNpfjHz04il+V8nwOFXwHPwYMHsW3bNqSlpSE/Px8AcPjwYfT29mLJkiVYuXLl4LKbN28OzJ4qrik4QYgZzHjzAIExJJSFKolR2ZF+t1uYHensHTAEVxxdzvsnG0wJXiubushzrs8arZiZgvz0GMPrKdGhqGk1Bib9Jt3tZmW5cFiym6qBkU3qM3nV7jE5I0zExMRwnOQYO5ogJAgQ6FIV1zluN9AseIBwhY9+NcivgMfpdKKwsFDzWno6PZtHodBjNgiRxZ/sjJ7hDAkDjd4tGgBZDsqOCzOYuFksdKunrMAZADIvd3T5Hi/HLK63vx9Fm0o1GamiTaWG5bwt/5t12REq2AGAmHA70OC/bwfnHBSkO7HtZIPk0uYCntBgKzolu1XsNqBbMtEVZHKoKawAJLcVYrOOWOCmuPqpERgPpsWM3IOuCL8CnpdeeinQ+6G4TghEECKLP9kZfebJm3XxDdA43V9c9MHgmoXZ5HJdlG7CTR8DR/thtVgMIu31hXnYuL9SI3zOjgsjs0y9l9xS7fL9bje2HT8vHS6EM7JUFAcrW6SXnZYajYNVLRqPIEewlTSLrBMEaLKIbPcpbDaL9MyHc5KidhGcviuO3kdx/XH8PJ1ZpbpPRxrVT6gYVYYKQgIN15tnKEdl38GbIwUVDL5YXGa4JXpHS1CBxUvF5YZjyI4Ll3Zlnn05q+Tbr97S2YdDuoDhXGMnOZm9+5J8bcMeLJ91yUk2Ny09k5GR67nUj5If3IH7ClIRFx6M+wpS8a9/k08u220yszEnW37eG6fUmO40l4EMYkxmZ62XsewI7YJilIm0B5PXiqvGePDChQtYu3Ytpk6diri4OLhcLs1/CoUIswaBHDjePKLM0+HKZqzbXKrxm/GOrKht7cKuM42mJ2Z7oYLBATdwyyStP8+KmSmYlWn0B7ICeKH4rOEYRO3uIvTn4YktJ4z7BeN+rZyZiqZ2ecFve7f8sudNdEIBQHKUfEbudH07Vj79Ef5YUo3Gjj78saQa//buSXLZmDBzOoSLXfIBoqxJoSs8GLdMoT2dZHGPUGQfHMSIYpQa+ppgRqbT+OIYfbZ+5Ym/8pWv4PTp01izZg0SExNhGYuGesVVicirZqRKRLLePFyn5ZeKyweDi0DpkLyZGP21oPi0dvr46wdr8OidUwyC34WT4rDjlHZZ7zHIlJkAYNvxejK4odip29bmg9X4xi10CY7iZJ38pPED55qGX2gIDlXKz8c6Xd9uGDR6VqAfio+UH5ZK8TFjbpfAzsRAU0cfak06UzM681l0MWZ8jU93HwUXu81GXn9GovFjOPwKeHbu3Ini4uLBDi2FgoMZg0B/8LclXNQ6LcqkjIQOybt+X/rdbpScaza0jxefbjQETNz27xCGa67hIuYGIhmmfRxdTmRoMAD/b+LlDEdkjgA3JszcFHerRT4ACLNb0N4rt/xhhmaJwmaVn6WlUAzFJzUt5OudvaM/hsqvklZOTg66ugKTxldcn+hnQ401ovKX12nZ9/Wv3ZI9Ijokaj4WhQXAgNtNlr8eXJQtdQxfmkt3VZqtZFRIDt0EeF0a+vIZl1CGXihcMLGdoqrZ3HUwVDAFniLcLh9ccVyZKfoZ6RWV31cMhWgszOsH/fev8he/MjxPP/00ioqK8M///M+YNm0agoO1P8SoqKiA7JxCMZqIMk/61wHgBcJIz6wOicoyUSUuN4BuQc3hrrxkPLAgW+oY/rCvUtvWDght4KVxG0dJWCx0INXDKG+kCia+f31RNl7YUTbYUfbZqYl45xOjq7KTkXlKczpwWrIFvt2kAU18ZCiau+WyT70ML6Ls+HAcrvJ/ijtHYzFS09IV1wq0x8H5NnO6PH/3hI3T6URbWxtuu+02JCQkICYmBjExMXA6nYiJke86UCjGG6LMk+/rw4mh/RUzU+tdnpdELnukkn5q8hoPyhzDhsK8wQuAFcCGwjwsyUkg17t4Srzm7xnp0eRyeenRuHdmqva9k+PJZSckhJOvU1QJ2qzvykvGa2tvxuN35eK1tTcjykE/w/UzUlfnL8obD3LmblFwRnHFMgZ6mt0vTtrG7GR2xbVNRCidxfyb2WmjvCd+ZnhWr16N4OBgvPLKK0q0rLguEWWDzJoq6tdb39aNt0qNoyFuzYnH7/dVmMoyiY6hsEArhl42LQlbj2r34bAg4EqODsUPdGaC73/agJTLQwW9ZLgcuD03Ef/yxjEpk8OGi/TT4FtH6jTi8YIM+oHLxjDi40z/rmN2wOmJYJTPVs3OwM/ePiG1LMd3iMLCcJtMdzkMIm8R4cFWdChx0HVFtCMYdW3Gh4iFk+gHoZHEr4Dn6NGjOHjwIKZMmRLo/VEorhoCMXdruPUmRzsMAUhhQSqW5CYFpNuNEnQ/ed8MLM9LwvsnG7B4Sjy6+gawRRfwiO6FH52+QIqZa3RdQxVNXahv6zZ0mk1LiUJpjbEUEx1KZyyeLz47WC4bcIu7njp65EUpoiwRRRujrZziYrd8NulAuXynmqjkKQvHE85ukw8Qg4OUGvp6o0tgfLrt+Hn8n3lZo7ovfgU8s2fPRmVlpQp4FAofRmru1txsFzYfrIbb7Xnynpvt8brSj6HITw9MOXnj/orB8RC/31MhFDhTtDPGdG8/UW8YLUEFOwBQ2UJnEGQrVRwNzwWGl1AkIzii4ARie8/KBzxBVit6zOqxJDnTIN8BZzZAVFx9tAn8ts7Wj86sN1/8+rU+8sgj+Na3voXvfve7yMvLM4iWp0+fHpCdUyiuJvyZuzXcEFVv1sjX6dmbNdrxaUPAZ5LVtnZpZmG5Abyyr1J6nlYmMeNLRHCQVVobm+401823fHoy3v+0cfgFAeQmRQoDLz1NDL0PRbTDjvOSAZaNYT0cbLKvnDM/jZNL4uxRaBDAiJ8V45QwexBauozfktjI0R8e6pdoedWqVTh+/Dj+7u/+DnPmzMGMGTMwc+bMwf9VKK5HOM7OwNCjLLyIskYl55rJ8hlXKK0XWH9c3kTe6L40N0MjcP7yTXTWJys2HCsLtKLlwoJUZLi05yDD5UCmoPOKou6iOa1M/cUeFOr2SyS8rhAMO6QQZZ5kae6SzybZrPKX694BcyUtjipzpBScHN2VYvxiF7hrtzG++4HCrwxPWZlxerNCoZA3VZTV+4iyRpQPj68X0FBZIy+UwDo8hL4kLLghFo8suUHT1v7qXl1bu8XjraM3RNxcUm0IoiqauhBmt0lnEiJDzZWOik81YM9Zrb7nkEB4XdUiH/CkOkOlW9gpbIyGj35GW3qfyT5xTibGBkA2ERNiA2SreB2SJouK8U1ECG0aWmFywK0/+JXhyczMHPI/heJ6RsZUUXaIqihrNDvLRc4kO1LdIswa+WZzRAFXVy996woNttJt7Zf3wWoBNqzMQ0dvv+G4RLet8sZObCjM851TinXLcshlV9+UaSqT4B5iP/Q4GCaFK2aaa61lJG1YHkkMiyMSRqOadLADABaLmld9vZEYFUq+Pi2VzrCOJH4/Nv3v//4vnn32WZSVlWH37t3IzMzEf/zHfyA7Oxv33HNPIPdRobjmCLfTN9Uwu/GGIMoa6bu0vrd0imbQp2/WSK/3+dpC2i1a1G5e3thp0BtR+1Xb2iWdtZmdFYMTdRcHjQktFsAZFownCvMGdUQWePyB8tNjMDPDiZKKlsH3T4gLx1nJkRELbogzZHhE3JaTiFP1clns7LhwZLgcqPBpy44MseGiZBojxelAjeRgVFeYHW3dciW0MLvFVIbkhoQIHK9rl1o2JAiQ9V+MDLFJT5jn6IhG4v2KwJAZGw6gwfD6yoKrxIfnmWeewT//8z/j29/+Nn72s5+h/7IPudPpxH/8x3+ogEehGIYOQatmp6AfmGof13dpUdkVkd7nhZ1lZKksPz0av9tr3H5lcycWbNhuEEjLzCkbCirLVFy0GLvW3aYJpA5XNmuCHQDSwQ4AJAmeMinmZrvwmx1yAU9NS5cm2AEgHewAngBPlksMh7/oUDs6ev13ss10hUkHPHabDT2X5I55gHEMZoMVFeyMD9oFWp1PalpHfbSQX/nFX//613j++efxT//0T7DZrjypzp49G6WlpQHbOYXiWsWrzfGFaxy4cX8F7n16F3761nHc+/QulFa3kusk524BWHiDdj7VipkpSI2ht//y7nNSAmnZeWAAhJPovW38vmXBfQwPGordZy9IL1ve2GkQWScIOkr2lsmvl6KSoWPoY2h4OgSlSVk4xoWcAK9DMjBSXDvsFvxG3jpSO8p74mfAU1ZWRnZjhYSEoKNj9HvrFYqrjeRoh2EEw4qZKdJPPJQG5xdbTuKxpTlSeh+rBdh5Stum/frBGqGGR+93IxqWSgVy1svb88VmsSBbENyF2a2G7rEJcfJjKChqGIHFgNttyNrUX+yFXl9ss1iQm2RubuCFdvm29sTIEOll27vNBRadJgMmEWbF1IqrjwhBI0RClPz3OVD4FfBkZ2fj0KFDhte3bt2K3Nxcs/ukUFzz1LZ2GbqZXj9YI91WLhI9T09zorhoMV59cB6KixYPlp30wuc1C7MNmZh+txtlgonv1M2eykZR21pfmEcGd52Cst7G/VUG4bXDTl80JyVEaP6OFnRzVbfSbe03xGsDqcKCVJRfoB/aYsO1WZ789GjTPdmimwEFpy3dbB4ljLFfHF2Eyu9cf4QK9IpjASvg+fGPf4zOzk784z/+I9auXYuNGzfC7XZj3759+NnPfoZ169bhe9/7nvT61q9fjzlz5iAyMhIJCQlYsWIFTp48qVmmrq4OX/nKV5CUlITw8HAUFBRg06ZNmmWampqwevVqREVFwel0Ys2aNWhvl6s/KxRjgWyXloihSmJUl9iqORmaQOhz05MF6w0j11u0zJg5EmWj9NtaNDmeDO5aOuna/qs+M8K85bNwu43cry/M0gofF+jKdF5So2kNj94LpKyxAzPSneSyjbpsTElFi3CoqSzhgkCOopXhW2KuiV8cOFJwWtg5NxyBfYs0ysVnfNAhULSfk7zWBRJWwPOjH/0I7e3t+NrXvoYnnngCjz/+ODo7O/HlL38ZzzzzDP7zP/8TX/ziF6XX9+GHH2Lt2rXYs2cP3n33XfT19eGOO+7QlMXuv/9+nDx5En/+859RWlqKlStX4r777sPBgwcHl1m9ejWOHTuGd999F2+++SZ27NiBr3/965xDUyhGFbMaHq7Jofc93kBIJJoOsweT6/3GoonY/NB8PH5XLjY/NF/K0dl9OYckCu7E7zMu29k7YNiv7y2bgie2aodpvn3UOGgVAEIFgUU9EcScbpB/WKpqMWmI2C7//n5GW3okQwxNoZ99NhScgCc1Rl48bnYmtQp4xgetHXTZNpOhVwwUrAcBt89FavXq1Vi9ejU6OzvR3t6OhIQE9sa3bt2q+ft//ud/kJCQgAMHDmDRokUAgF27duGZZ57B3LlzAQCPP/44/v3f/x0HDhzAzJkzcfz4cWzduhX79+/H7NmzAXhE1cuXL8cvf/lLpKSksPdLoRhpvAGLmeGfsiaHXnzbyocagzF/Yqxhvb7ztbyt4qKgR29o+NiyHHJbMeG0EFjfTmyxgNwvKpASwTEuLDnXIr1smjMU+6WXNjIrMwZbj9VLLesKD8G5ZrlAJCkqBM2CDJoc8lobzgiI1OhQVEoeg9kZo2pE6fhAZEOQ6hz9gIet4bHowu6wsDC/gh2K1laPB4jL5Rp87eabb8bGjRvR1NSEgYEB/OEPf0B3dzduvfVWAMDu3bvhdDoHgx0AuP3222G1WrF3L9FfC6CnpwdtbW2a/xSK0UZf+vEGEHrB7lBQ5Svq/foxFjs+bRgyQ+S7Xmq+VtGmUnL/hhJT+46m+PnKaUiPoQM0atq6l09qWvHmkWp8UtMq9DKimJwUKb1sOOGFBACLp8Rr/i4sSEUaYzwGxaQE+f3idGnVmBx5MSA7lRUAZ4rFyfNKaqDwIBoqOpKwS72TJ082BD16mpr4LaQDAwP49re/jQULFmDatGmDr//xj3/EqlWrEBsbi6CgIISFheG1117DDTfcAMCj8dEHXEFBQXC5XKiro9Pb69evx49+9CP2PioUgUbvY0ONe+AMBKXev2hyvCZgGXADRZtLsavoNhQXLR42Q0TN13IDOFDejM/la98jKl9daO+9krq5fPkQldUoDpQ3478/Khn04vn93kqDYHkoJsRFGLJMIjoEXkiTEiLxwacNmqn1OUmR+PX2M9L7oeetUvnW3DmZLhytuSi1bJvJLq3+AXnbPo6/4Uh1fynGLz2CDA+nQzFQsAOeH/3oR4iODrwl9Nq1a3H06FEUFxdrXv/BD36AlpYWvPfee4iLi8Prr7+O++67Dzt37kReXp5f21q3bh3+8R//cfDvtrY2pKfTwxAVitFCdr7WUO+nApsf330jmTUpOdeMu6bTrfC+5S/RAw71MlUqswJ4ofis4bieu79g2GPysudso8F48FS9fLYgNNiK9SvzsG5TKQYu79Mtk+Lw4SnjBPXYcFr/8nzxWcPUes4xUHT3yQcmjZ3yRoKRITa0Mfxx9EQ7gg36JhGc+ViMJJXiGiEyNBjdxHcp26TVhD+wA54vfvGLAStheXn44YcHxcZpaVe6Ls6cOYP/+q//wtGjR3HjjTcCAPLz87Fz50489dRTePbZZ5GUlIT6em0N/NKlS2hqakJSUhK5vZCQEISEjL4HwHhCPyZAMfYM1bkl8xkdONdMBjZlAkdiUdXCoMFZmkPqagoyYwzv9foLbSq50pW1YFKcwfNnqDEWFKJWcen3N3YiIjQI7ssH4rZgCA0RHeBRXkTvn5TT3whhKGtPMwI8Z5gdbT3+l7XcDA1PbESI9HgMFe9cf9w5LRG/21NpeP32qYmjvi8sDc9wpSwubrcbDz/8MF577TVs374d2dnZmn/v7PS0rVl1/hM2mw0Dlx8V5s+fj5aWFhw4cGDw37dv346BgQHcdNNNAd3fawW9nsN3wKRi7DDbudXUQd90XOF2w33VAmBWljFgITU4W0+iaHmOYVCoKDOkb0HXBzteLgj2V48FwD0zUoddbiiy4sI82S+fDM3rh2rIZWMFrsoUMQ75ZSmyYxlPuRxdjdtcaBEaJH9rCGNoqWzjtHVKINsiCR6nxzBeqbpgdC7PcJkbSeMvrIDHzfjBybB27Vr87ne/wyuvvILIyEjU1dWhrq4OXV2eJ5OcnBzccMMN+MY3voF9+/bhzJkzePLJJ/Huu+9ixYoVAIDc3FwsXboUDz74IPbt24ePPvoIDz/8ML74xS+qDi0CUdlE1vBOMXL402ruiyuczlpmx4V7Jptf/tsKT5cVtV6hoWGqEx8V3YZXH5yHj4puE+qKOJ1TIuPBL8/N0ExQ31CYh7+ZnYGCDKdmuVSnXIuzBUBNa7d0zkJ0HilauvoMF/PU6FDpxM2yvGTpZTldVyLdhCwcfdUFQdsxhU0f0Y8gnC1xbm39yiyaxb7yZoNzeUVTF7YdpzW2Iwkr4BkYGAhoOeuZZ55Ba2srbr31ViQnJw/+t3HjRgBAcHAw3n77bcTHx+Pzn/88pk+fjt/+9rd4+eWXsXz58sH1/P73v0dOTg6WLFmC5cuXY+HChXjuuecCtp/XEmYN7xQji6hzS4ZZmTHGTM7l0tOqORl4be3NePyuXLy29mbhermGhjLvF914PjfdeLO3AMiMDdN0hHlZNUers1shmfVxA2hok2uFtliA/DR5jWKGK8xwMa9u7cZDt07UBJhfnZ9Jvj8kyCodiHFcmRdPNnedjgphDDVl+AOJ/JAoGEkm+v2MiIcz8SIqdPw4B18NXBIE33/6uGqU98S8IacpZDJGkyZNMjgr63G5XHjllVcCtVvXNEP5ryjGB/5OIE+OdmBDYZ6hS8vroyPT/eXNMvku680yUbov/WuUhmdlQSrKGjs0ouOCDCeW5CZhQ2Gext+naHkONrytNRMs2lSKnKRIrNusHUz87IdnsTwvCW+XXnlSXJ6XhC2ldQa9Ub7APfnhxRPx9AdnNOdFNMaColrQ/m2zWvDa2psHJ9m/d/w8uRxngOKyacn49ftyHWGn6uW6uUR0MMTUIUE2XOyRC3pCbPJRTLANMJOoCrVb0Se5XxzaTYjBr0dEweRYVBXGNOBRjD6BMLxTjF8oM0J/ur98tS4A3e4OgGyB12t4XiupNqR5Dle2khe8c8S0dTeAbcfrycxkms7LJz/NiS2lulS5W1w+W3BDPFbPyzScL1kutNM6pIqmDtz79K7Bc/P5fF55PdoRhNauKy3cGS4H60ZbWm3OW6yZUabq7JNvNed4r3hmh/kfsPQyMk8cLqmSFgvR6TovKXQPJCrguQ7hOvQqri70GSJO9xdlMvjYplJNVnDA7Ql03G5oWuC/v/ko/vNLMwzbGvCuSLf9knPNnvX4bOuVfcZuDgBoErRkP7ejTPP3+i0nDMu4AVgtFmFmU3++6iXLX0PxxqFazbn5i0Agfdf0ZHzwqVHU7RvsAB7NQ8NF+f2yyNvomH4/x6QwJMiKTkkL5T6TVsvjVSCt8BBkdliaH5iskiquVmT0GIprA073F9XaDhgN+wbcxvth/+UIiLqMUdsfcLulBc5VTfJZF/32bRYLCjJjsH5lnsHt2ZvR8XWm3lcub5waF0ELnPWHJbp1n2G0mrd0yWddgkyKgzlDTePCOfOx5PfLbDUq2Ka0NuMB0aeQw3A/DxQq4FEornE43V8iXZ3+NmW10IFFusu4Tgs887T025+d5TIEQiI4N/AVM1LEx+rb/gXaomFulsu4UgFTU6Kkl6XYXXZBetm6VvkMT36a04+9uYKTMXx0GuMc9F4aPaflDpNu04rAECSIeJKi5APlQKFKWgrFdYBsGXN2lstoMgiPmPgXW05qdF8ADFqwjt5+UoMzPdVJjrHQ68n+72cm4KkPjMLcdFc4gAapY719aiL+dkHWoGA4Pz2G1DGJynLFRYtRWKAVXs/NjsG+smbDtj6RHPUgIo7RAh8VKh+EfG5GCvaUG/dXlokJESiXzKpxWuD7GD3dkSFWaTE0hRpiMT4QORwcqx39GZYq4FEorhNkur8GO718RjCsvzwZ/e78FEPAQgmkqYCJ0soAdCBW19atCTYKC1IxNUUu/W0BUNXShUdePagRU6e7wsiynB6vtunJ+2bg/vmZ+Li8GbOzYnCkqpUMeGRnQ4kkMYtzErD9RIOUXGZqShRKJN2pmzvNzSmalBCBbSfkAsz2HvnQwmq1ApJi4miHHRd7/NdTcSTPNou8v45JedR1h+h8tXePfkiqAh6F4jpBdpyIKBtEBSzUa9ybgX4d+mAjPz0GP/rzMal1uQE8seWE33O7fLVN+emebQNARRPtUzUtNRobCT+RaSlROFpz5Qk2Oy4cZ4kRH8nRodhQmIfHNl1pub8nPwVvHDaKnDnjNZo7+qSHpVJ8fE4+O8Tpagu2ArJLB5l09g+yyA825ZgJqmCHR2iwBZ1Eb3qma/StUFTAo1BcB3CnsPvrBXSAuFG64R1UKr8+32DjylrkoDrSygTGml9flI0Xd5YPa9EwW6DrmZ4WTT7B+gY7AMhgB/DM+PpEl9o/eZ5O9TdclM/aTIgPN/ghxYUHo7FDri28ghFcWRmBSTujRNUoOXpEBGeKu2Lk8OjvjB/GjAzjaJuRRomWFeMefReNgoc/40T8Peci0bPZqTQrZvo/S8tmsWBOVgzZKfbAgmxsfmg+Hr8rF5sfmq8JAoc7BxZ4Mj9mDm3A7dYEJQBwoo7u3LqDMWwxJMhq8EOSDXYAINIhrxealCDfbcMYu4WQYNVldS0g8kMK8GhOKVSGRzGu4WYmFEa4U9g551xfJhOJnqlBpRzy02MMQuK81CjSYG96ahSO+Ly+YmYK8tNjDBmPFTNTsOPTBvJY9efgi7qxFrh8jKJSlyznLsi/PzFavqvlcFWr3+UsgDfG4vxF+UxMfFQoKpvldDmTEiJwgdBNjTU2AKr/Sx7RHNsKxnc/UKgMj2LcMlxmQmV+5OD48HCyQVRLt1f0LDOolMuT983AG2tvxg/uysUba2/GT1dMI5fTB0GvH6zB4cpm0gGaOtbDlc2G10WGiBfazYmD89Pl53YdqZITLAO8eWAUeYz3cxIxvQwzwSW58hktipFKIIxFZuJqxh5MhxlnG+U9qAKFCngU45ahMhPUzVZBw/HhkR0uO1RgtGpOBj5ad3my+rork9UDEaAmRIUiNyUKCVGhg1kfXxZNiiMNEfeXN5MO0NSxUsuKCBbY+S6eEm/YL4q0mHDDMcwQBEGc+2ydSbfoKYny3jqdvfJBTP+A/LIfnKyXXpaCc744N0KzoyWut5tuv+DHVNNi3tGciyppKcYtokGnYXYrezaULLKdTFcbsj48ssNlhyuT6UXPgShNUuvQd3QlRIViwYbthv33anh8X7fCU5bSl9/mZMVItx6LdCaTEiLxwacNcLs9GYEFk+JQfLqRPK9zs12aUltWbBgOEe3n6YyulhITHjwAEBNml152dnYMTp6Xe1q/MTUKH56Sc7I+3WDO48hmBWTjqyArIBu3mZvwdf1hE4iWQ9RoCYXiCqLMREdvv1QWgst4yRqNVKlOZpyIbDaoS+A/09lrFMb6I5rmrMM36yPaf6+Gx5el05KMG2Jeg9Nj6HP5/M6zmgGsG7acwGNLczRGz17zRv0U+NcP0RPULYS7tYhwhgbHsB0ADrv8rWEGw9W5uln+M+8zmUphJJOkgx0AYEzdIOEc1bVQPbsk6PkPto1++KEyPIpxjWj6t0wWYjh8szkARixrxGE8iLRlskFDtVnr4YqmKUTreKm4HC8UnzWcr7gIO94/0YDFOfFYkpuE2tYug4Zn67E6oyu0G9hfTs8To9AP+RxcD7He7cfPawal7itrIg0RRVRckO8Iy02Jwpv6qfGSuAEUnzIONBXx1hE6QKM4x5iJdtGkMd1ICYv7TK6YE/BcC531/YKAp4NhWBkoVMCjGPfoyyPep3j9WANOYKIPLNYszDZ9UzaLKIsx2kEXMLwPj2je1GyiG0u2TDYU1DqswGCwA1w5Xx+cbMCWo56b/e/2VqCwIBWFs9KknJYBINoRZNyWBZoxFN5jyGYcw15dmWlTSTWW5yVJl884rf37GTO6KBra5TuvWrvk292DbICsbtlmlV/WLEEWhjbnWohCRhG34AvuMJsq8wNV0lJclayak4HiosV49cF5KC5azMqCUIHFi8Vl5DBMbtbIDLKC4fEAJRguLEjVmQV64IimRVDr+NotdJDqDXa8bCqpRnWz/Dls67pk2Nb6lXnYUGg8hk7RoCBJDle2St8/M2Plv4ulVebmFCVEyrfAT0qU9+HJcIVLL8uZHWaW4GD54pGKd3jYg+gwY2K8/HchUKgMj+KqxV83YCqwGHDLu+6OFIHIhIwmc7Nd2FxSDTc8WoO52eIp47Ki6aHQrwMAXigu05wvi4XOhGw7Lt/x4x1nQe2v/rU3jxhHQHDouUQHTDdlu7C37Iq4t7AgFRmMgCfN5cCFTvnMi57k6FDST4m62d95YyL+SIzXoEiPCcPJ83IuznflpeCl3eeklqXgZG1iHSGo6pXrGlIBDxf6jFUx9FyBQgU8iusOUWDxwIJsPLAg29RN2QyBKNWNFt4sma8mZbjyGydAFXXL6dehP19fmZ+B/9llvEn2SQ6stMDT+j7U/rp9LuCzMo0dXRYLsPTGJE2m6absGOwlTPRELrRfmZeJ7y/P0cwTowazivib2ek4XCU3f4ziHOEg7YbnoeC5HWWDrz1RmMfKcjkYVsshAv8WWZzhwWhslwv6LjHqhSrg4dFNzNECgCaTA279QQU8iuuO4QKLsQwwApEJERHIlvtACJFFcITb+vNV1thBBjyx4XJt1m6A7UC9oTCPfP1wZfNgwFLR1EkGPBPjI4TO1MWnGrDrTCOiHEHIT49BcrQDMzOcKKloGVx2SmIE2RKelxqNDJcDFT4i4YgQq/QsqxjBaInevoHBhwWvmWULI5MUzyiVHfA5Tn9IdTqkA54Wxtwult6Hej+A0Zfrjh2hwRZ0EIPNJsSqkpZCMSqMZGBhFn9LdUMR6O6vkSq/DSfcpoI2/fmi9isvzYk/HtB2aVEM5UBdtOlKRmvADRRtLsWiyfFYNScDOUmR2F/ejDlZV4aeGgegGslLjcZK3ciMlQWpWPWb3YPByrYTDfj19tP49ZdmaoIdAEL/m+LTjZpgB+AN7mwWBDH/41Ni8n423/7sDdLrTWaMx4hleAFRNHXIZxA44miBrYw0wcEWXBJkPa5FRG3pWXGjH/Ao0bLiukXGl2a8YMabJxA+OHoCIUSmMOuuLdqv26cmGkTpFguwblmO1DEcOGdsVXe7PVPgN+6vwL1P78JP3zqOe5/eRe5XpUCvUFrdamiX31RSbQhWKpq68PyOs+Q6KLH96fPmTPtkBdL9brfwhkahnww/FOcvmnPibWaUTFhOyyY7x0QlnmuVHkHF81iNOWG9P6gMj0IxzjGbnQlU+UmfXRmJLFkg3LVF+yUqPd09I2XYY2gSlDzKGjvw5F8/JTM/vusSTZGvb+uR9uE5e4HO5nz15kz87+4KTXk2LsKO1wQGhjLUtsoHG5xBo82Mdvd2kz483kBWBmd4MBoky19hdivaOU6FOq6vcEeMSLA/kqiAR6EYxwTCmycQ5aehgi635CVcRkOUHO0gp5oP5a4tWhe1X77ux77bHO5cusJDyNebOnqFmZ+7pl9Z52yBb9GS3AT8avvpIbftJchC5yFmZ7rwjc9MNARteg1PQqQd9Rflsh71jOzKcUbWhtM55gwz15bex8g8cbI2YXabqYCHA0cvZLLSNmIjM2wWgPooQmyMqbMBQgU8CoUEYzVjKxDZGbPdX6Kgq6WzD09sPSGVeZLNUlGOyK8frMHyPGIMBDxP2zLbWjQ5nt1V5ouoG0sUNOoTOp/U0JPO95XJzZUCAEG8g5auXkPQVtvaZWj7bWRMdg9jmMJxOq8SIujAkSLI5Kwlu80C2fiqp08+mzQpIRL17fKfmx4b5F2gOeJoK2O9FCMVwokymOVNo+8vpjQ8CsUwjOWMLW92xhd/xMFmjBpFQdeGLSekdEEcDZFoW2UC80X9pG7Rtg6cM05A9waOhyub8fzOMzhc2WxYl1c3lRztwIbCvMHPwmoBNqzMw2en0oHYrKwYzfu3n6B9gPQmiUNxk8DnyOkwintFXlOyZMaGGTVPgmXtjCf1ZoYrc7rTnACeE4hxskHtJs0mR4rxuVfirFN/vyppKRTjirEe9zBcdoaTefK3+4sc62Ax3kBFmSdOlkpUfqOmnXsDP99zINoW3HT31m93l2uCjsKCVDx53wxhRoqa60Zlfv58uAZPbLmS/bp/XiZ5bhdMjDV0XgGeSdI9Po/34XYbHlgwAc/tKDcsO0swzoNC1kwwKzbc0D02f4ILu84aMxu9jBvXsmlJ5PFSzMl2SXXWieD4+IQEW9En2cXWzGhhp+CUncyWqcYDolKZi5HtCxQqw6NQDMF4GPcgys6MVuaJ6nx6bFmOdOaJk6Xyanh8WTEzBfnpMWT31Y5PGzTnoLS6ldzWrCzj+7956wRyDMW243XCjJS+s6+ssYPU8Gx4W5v9elngGNwjCBZ6dLWMjt5+FJ9qIJcFjF189W20BmdyYsSQf3sJDbYaSotUsAMAZxpoMTXFUG7cej78VHy8MkSHyre1RzPGWHBmh5nFpPciC86mOMVGURgZQ2QmRxqV4VEohmC8jHugNBqjmXmivGacjmApXRBHQyTS8Dx65xRytMSCDds15+AXW07isaU5+MXWk4Zt6d//yl46CHnzSC0rI0VBuRRTHK+Vbx9/4xA9xuLX207jD/srNNmoKsHsML1vz1A+PrIlsB6Gic3zxXRrPUUlY7I6xfmL8pmYSYkRqG6VW57Thk/B0sqYkzGx4OxXILJO5wVB+UiiAh6FYgjG67iHkXQ6phCVeCjDPQrZFvbhjss38Nt1xnhT7ne7MT3NieKixeS2fN8vGpCZGEmn2imBtCiTIsuiSfHYeUpusnmEQJPyyr4rmT1v4PuPn51kar8ssEiXU7r65Eta5yWDCgCIcZi7PV1kZGJ6GG1adpsFHSaSPJwyVUiQVTh+5Gon1TX611AV8CgUwzAeXZnDBTc/6qZslkB0aQFyGiJORm2oZWW2dfvURPzgDeO8qRtTo8nlO3sHDJqpfeVy3ToWePQrb+v0QslO+e+SQ9Lvpt/tRqZJ2/7c5Ejpm3Ibo9X8vtlp2F/ePPyCoFuZOTjsQejok+tMa2J0sJkZKwHwsiNTkqLw8bkWqWWDAYxesU2eYCvtZH3rlIRR3xel4VEoJBhvrswdgk4RfddSIDDbpcWB4+AcCLdnqhMpwxVG6oCOVLUYNFNzBf46a2+dOHhxtcJjevj0/5mFN9bejB/clYs31t6MJ++bITQkpEjjBEd2q6lqyMeSQQkAJEbLiU8tACYnRkqvl6OroZiWEiW9LGeQZbfJLq1QRpqhhjFR3DKKtjacwCExiv5+ML76AUNleBSKq5DR1BaZ7dLiwsmoccpqekjBMTxBo76M+b1lUwa7roArAV5x0WIU6rqZCgtS8d2lOfg/8zMNx6CfryUyJKSobpG/+ZU1Gqedczh3oUN62QjJwMQNSGd3AOBIdYv0shShnLZ0RknLatLwJsphR7ekAWRNm3wJcDS7vDnfLZEWrG8MSnUqw6NQXIWM1Cwr0bb0nVNLb0wKiD/QUNuUyajJzLESMVT3mL4zLi81Whjg6TuPvH/LHoNsJiZB8KSsx7eN35/tAECm5GBHC4C781Ok9yub8f2wmrw7cb6L09LoMibFDQl0Z5ssnCnhnM/MHmxO4cw53ZEh5kOHtJjRz5argEehuEoxYybIgeqceufYeTwmOXhzpDA7FNUbNPqaCeqPwTueQhQceWd8+TLUPujbx6ksk4jUGPoGfpPOh8fbxq8PUqeny9/Uw4Lo7Ah1SxWVqdYtzzGc2xrGjK6kKPnJ6hSRjJLYPTNSh1/oMqJJ8rJUCDroKDiZFJvJji4bIxoIYizcJSgBflJjbsCtP6iSlkJxFcMxE/R3PIZIwzM9VdwNNRoEqlONmq9FdaVR3XpDzfjy7qP3fItGXlDGhUXLcrDh7RNwwxNkbCjMQ5igRLNXVybafLAa98/PxOYSbZB6uJIeb0FxpJpelioBbjt+nlz2XGOn4dyebZAvlbV0mhse2ihZNgJ4N19OpxlFA6NdnkN7rzlRDMNdAK2Mz8amf1K4TGOHaktXKBQjgJmJ62a7oUYKszomb4ZIP18rJymSzBwVFy02BHgip+UjVS1Y/cKewfP92NKcwY4233Vufmi+ccfcnjLR3fkpw26Lwu32ePaYuf0lM7IrlYKZSK/uqzCc2zW30I7TFJyMA0UtQ/PU2NEt3S4ebDOnlwlluDpz5m6ZhdMuz9mnUIF74liIllVJS6G4xglU6YdTvtKXbkYCszomUYZof7l47paULscNQwebr+BZvy0qa1Le2In6tm4crWkZ9PoZnOd1eTkrgC/PTad3weTNpJsh4r0gaOnW70K/243QYPln7LZucxmeKkbAExYUJH2zjwk35xA8wMikiIKFkWCk4o+WLvr70c3wbwoUKsOjUFzjDDceQ6bMxemcMpNN4iLaL5nynT9zu/SIOr30DMCT+XFLbut/95Tj7VLjjC/98da3deOVfZWG7U1NkW//pshNjsR7goGneibGR2Dn6QtSN8yLDP1LqjMUlc3+lz3mZMbgaE2b1LKccRGu8BDUtsmXy/RwnKmDbRZpc51xO3fLTe9ZU4f/59BfVIZHofATThZjNDIeIkSCW8pXZihkshtDZZMCcQ6odej3S3bGmChDJJrbRR03dW6tFqO412axoGiZUcRLbev/fmaCJtgBPDO+vNPcfTM/Ij8ms2MZ2nvkn75bu/ukb7QHKuTb0jnZIIpTDfK6nOO18vomkZZKFgvjrnuxW/5zGJfBDuCJ9Al6GVnEQKEyPAqFH3CyGKOZ8aCgxmOIfGXMzuISZZNe+qgML+wsM3UOZM4jd8aYKEMkm9ESjR4BQL5GCaT123rzCD0z6+PyZvx29zmN589tU+LJZUOC6LuqbBZAcI8iSYgKkV7vtLQoHKmWy7okmOzSOlsv3w3F8ezpNWkB7Qyzo0HS2dlqkXecDrECktIg09itgKzHqdMRRAbQcWMwLV0FPAoFk+Fuqr7lFACjOuRThP6mOlKzuEQmhc/vKBu8IfpzDoY658CVspw/xyUSXssKskXBETXoVC/i9Z4D3205HXQ7dUtnrybYAYDtJ+mJ4rVtdIancGYqNh+sxgA86f1v3joRT31wxrBcbrJ8SYyjF1o1OwOv7K2SWnaSSb+bDFcoaiRnnU1KiMTJ83IdZGZnfE2MC5cOeIKDgD7JklZIsA09jMycnuhQG1olM0o2G6Snjd6QEIGqFmNnWp5ghMtIogIehYLJUDfVHZ82aLIQX1uYPapDPodCfwMfCadmKuPxdwuz8PzOMs1y3HMgzBwVl+OF4rNXuqEul43GYrq9W5fjkBl0Sp2DFoGe5HidfInGq8/SU9XSdSXNYxG73VYyRho0tPdIl1OqGOv9RFJ/IyLVFQaUt0gt6wyT9+zp4PRvE9S3y7el9zB025wyJAXHxsfNUAyJvotHBdYHI4nS8CgUTIYzofPNQryws2xEHYn9JVBOzZSmZtWcDGx+aD4evysXmx+aj79bmG36HJBaGWAw2AE85/sXW07isaU5mk6mkTZElNEMDeXqDGjPoyjDk86YpTUz3Um+vqesyfD9NMwTswB2QUmMIjdJfmbVkaoW6WVFhnWypEQ7pG/iskNgAWBKkrnME2fKmYsRiAWbnKXFCuNE8yIIWrvoqK1LdWkpFOOf5GgHZqQ7UVLRMvhafno0aUI3AODrCyfgxeIyjZ5jPAwhHWoOlUyXk0hTI2vaxzkH3vEWviWdBZPisPNUo2a5frfb0ybtk8UYSWQ1QyKtD2VIuGxaErmtPkbtqExyFhZ1k3O7gYuMrqVT59ullz13QV5XU3vRnPC6prVLOvMkaq2niLCbu212XpJP23DmTU1KjMRRM+7FjNIkJ5nkCLaCSuzdMpnWn40kKuBRKJgcrmzWBDsAUFLRgq7eS2Q55YGFWXhgYdaIOBL7654M8AKWVXMypLRJHNM+7nHqx1t8dKrRqBeCMesj0lf58zno389p+ae0PrWtXSjaVKrRN72l69Dykp8WjVckhrgCwHnG0EmKk4zy2al6uWVtFgumpUVj6zHamVlPpD0ITxTmoWhzKdxuT+ZpRlo0Dko6RncwfHwSIkNwoUMuyDvMyFJRRIQEAZD7fAYYQW6vyYxJL8NNkTM/VSSAt5t1lvQDFfAoFExE6e/yxs4hMxmBzuqY6f4SZSZykiINN+CizaVo6ewbdAq2WoA1Am3SUKZ9MoM0RVCBBZU9W7MwC88J9EJ6fRW3U4wzGkLvtOzdll5HdeCc0XhQRFpMONavzNPsw2M+Iyh8t3/H1ETWZHI9lyQzC7Yh2rniwu1o9PFaWTEzBYUFafjlO59KrXtyUhT2lTVpOtuqGRqgcwIHaIrEqFAcr5PLVHGyQRQJkSH4VFIgHeGwo61HTnhdyTBaJLHI63IcIVa0S7aEXRQIkd79pA4PLpoou3cBQWl4FAomc7Nc5Ouzs2JGdaCnGfdkUWZi2/F6o5Ge2+gc/GKxUfshmtIdCM1Sdly4UWsC4IGFWZrz/YBAL0TpqzjnS3S+66kuIDfIMRLUttyMJ/gwu/XyezD4v05HMFYWaAdfrpyZihtNdsCIhkNmxGhbxVfMTIFL4DzcqDOW85YjnyjMG/wsLQDWLqZvernJkYautHpGsBHKELXMyXYZvjciOk1qiy5dkv/MJ8fLT1ZPNNnmPU9wXaNYODFOetkwQQkwSqBVG0lUwKNQMMlPj0Gh7iZTWJA6qIGRGj9gkuFKKcMhEtHGR9EXTf0lesANPLgo25Rpnxe/DQkv77/v+RaJsYcb8jkcQ42hMASIMJaZRNuaneWSlhmVVrcaZn+t21xqGBL6+sEahNtths+XI2dKc9GfV4XO+XhTSTUcDA+bl3eVYdWcDLy+9mY8flcuXl97M757Zw4ydNvLcDlQwcjQUCzJTZReNicp0jBdPiKEvj1eYgh2KeIEvzGKUIZeKM1l7qHCZpUPB5ZMlT+301JoUfutUxKk1xEoVElLcc1jVrdB8eR9M3D//Ex8XN6M2TrB72hgdnCmSESbkyTnv2IB8MCCbDywINtv0z5AvixHjnBwg2zrFmllzJwvzhgK6+UTJLMt73ysdZtKB71xVs1Nx6vEuIj6th5jWY+49/a73ejsHTAI6z3+S3JBhCssBK7wYDT56FrC7FZ0Em5znG6qY9Vths/8m5+ZiAqdM3RFUxd6GYLdVGcoqluuBGMZLgcKZ6Xh3979VKqh6LWSaoN2SlSy4cy30nvbFBakIi5SfhZXbIT8shcJDSGHveUXpJfdfUZ+2RkZMXjvhNEvaix8eFSGR3FNIztmwB/y02Ow5pYJUsFOoMdQBKKtnCq/iUYVGLIDPi/o/We8+xfIMRTDtXUPt32z54szhmJ9YR5rW6vmZOCjdbfh1Qfn4aN1t+Hvl0wil8tPl79BdPb2GYT1ssEOAKS7HJpgx7NOOgDgiE9viI8wfOaU8SEA1DA0Kb7BDgBUX85E6T+HyYl0S/mZxnZpLZUj2CadLYtyBA+Kdi0WYG62izVDqrxRvgMuLzUa61dqy4U3xMtnfeLD5TNPnQyDoPZuWgwu+j6NJCrDo7hm4Y4ZGClGagwFJ5MiQi+iJZ2SYWxfdrthelwEdwwFp7WdyuqZGTQ61PtF7f2cz8b3c6ACXQt4xoPFp+SfwCclhONU/RURbUGGU2h+SPGF2WnYeuy8VjgNWv7a53ZLZyD6GFoXPd4Sov4z23ygCv/6V6No+oaECByvlQsuevsHpIMj3+Gn7svXn2V58uWg2lb5brt52XF4/2S9puTJMSOMjwpFmeQMttOMQKzhYs+YmYHqURkexTWLWZ1LIOCIi/0RIgdaL0RlMh7zGXrpxTsuwl8RMCAevClar6wgfLisnm9GaqhlD1c24/mdZwaHdnrPj/58b9xfgXuf3oWfvnUc9z69a3Ad/n42B84Zu6vcAPaXyZvjcfQ6vsEOAByubBWaH06I04poCzKcWJKbhA2FeZrBqMvzaC+hGEcw+ZlTzMo0Vyb2irx9P4ccwciMRZPipc/ZpPgIaYGznn63G/GR8jPC5k2UFxKfrGsziLzrGPYEqU75/WpjTL3PSY4KiMlpIFAZHsU1i1mdSyDgzHYaqflWXKiMhTMs2PS4CH0mxZ8xFNR8K9nZZfq29MeW5QgHqP7ynZOam0dhQSqevG8GeUyBziKWC0wDg23yd9kFk2LR2t2nOYabsl3YKxE09bvdQnfcskbtvh2sbBkMRn2/M3/82KhBAjxjM0TDVh/bVDq43BOFeahqNvdgUlrdivz0GM3342wjfW7bui5hZYHW2HJiXDjOEMunxIQZjiEz1oGzEg9SNosFUxlzymamx0jPHtvF0NVQxDBKWhydkNViCUg2OhCogEdxzTKUu+1owQm6suOMLagWYNRTv6Kymn4Y5ovFZdLBpGidgV6vaHZZyblmQ2DiG+z4LvveJ+cNT8qbSqpx//xMg16LG6TKlM8aL9JP5bGMG1KYPRhzs13YfLB60LRvYny4VMBjATAnK4YsS1HC8ZJzzWjvaZByi85whZE3v437KwZ/J97siWhaenqMQzPrKz6Cnj5+tr7D8P34yk2Z5DqjHEGGz5wKdgDAFW43HMO///VTMuCZnenEwYpWzfWH0312uEp+3tTNE2NxQKfb4hDEGE2R5AxFo6RR4+ysK92rY+0wr0paimua0fLFEcERy1KeLm7B6yPFUGU1mfZv0U1+qFJdINcrml02QGhHBtzG0o/NYkGDYLjjx4SRH0dMLSugjxP4qWTEhuEJXelo3fIcclmv75CvZ88f9tNZl6EE6TLsPtto+BzePkq7RVsvf66+n7no+5ESTQc8+gGkjQJvnthIu2G9/7vnHLnsJ4yRDN5Bo77HkChoNZ8/IdZw/Qlh+APFMLxqpiRFoSDDqXmNU6Zq7ZQXIqdJznWzQBy4jgUqw6O45hnrJwvZdK7Iwfnj8uZRa3vnZCxkj4ubBTGzXtHsstlZLjLT9r2lUzyZHlwZNJqTFIlfbTtt2J73SdUX2Swip/SVGUtnszJd4fhcform3IiC4SNVrWSApxco6/8GPMER5S8k4lxjp2FbIj9F6hyKvh+HK1vIdQyXdQI8N9oMVxj5/aCoaJJzPgYAp8PYKl5SYQyGAeBQZQu+PC9ToxuzMMpBp+rlxcEtXb04pDtn+u61oRAZBFLUtMqt1w3aOmKsUAGPQjEKyARdQzk4czDjO8TVPckcl79aKqrdXWa9otllIu2IftCo6IlU9PpQQ1i9cII+rxmhvutpFlEaePNIDblPZQ30DVwf3Jyq74DFog1QRP5C+uW8LJocj4/OXJCa8eXF9zsqKuXamZmQZp/OsnSXgwxyRd1jwQzTPYfduOy01Gj8//buPS6qOv8f+GsAwREFRIUBQUXXvIR5zxCXNM0090L6aK0vlZqrXbDN2rWwcr9dvonZtu3PXbPLlv5+W1ZrZRd+6i9LgUhCNDVNQzMISpBcBFTwOp/fHzTjnHM+ZzjDXBlez8eDRzFzZubMOSPnPZ/P+/N+f35U+4UlxGRC+optiqncsxeNr5zSW9ItU990oc01eABgwsAe+N/FFYaO14WLxpaUm0y+n5J3hlNaRAGitQrORrhbd8gT9X1kz6muYps5MtFpF3Yj78HZvspWSKmnNzOu6CUdddnlpFea3v5mrm5ZpZW5eod0f12Z+rIVI7T9cQ4BsGLWMOnx0guSw8OMz0vNSE1QTJPZ6gupz9nVOoF3Yoz2/F6pU113V8VJzfl9vVg7zSTg2kjISdUy+sq6Zhw81oDcmcopwHsnyttY3Dw2yfBrff6tNjl4bnqKdNvPvj2h+XyNSI4x/FpdOxuf0io73mh4W5nmn4tVOureRf76huvwuBGAeYNfA57c3FyMHTsW3bp1Q1xcHDIzM1FWVma/v6KiAiaTSfqzYcMG+3aVlZWYMWMGunTpgri4OCxZsgQXLxqfjyQKFM/9bgQ+yB6PZTOG4IPs8faVQXrFCB1vb8uydtnzejrvSdbp/P09xzyyNN/VfXUMhPRGXRp0atB0kXyzV3c7FwBy3t2v2V9XA0l1MUK996U36vSfJuPF7czhIYpcH9v7Up+zknL5tE35iTOa9hYHfpRffKPMYZrz+4JO4cH/uFCgTya/rKW6r/q9yfTsGqHJf4nVudifkVzsE6LNmvYYcd3CpZ+vap3pIHWIajIBN48xHojpjeq19jo239ed0RSrrNNZfh7TxVgCvW1KK1D4dUqroKAA2dnZGDt2LC5evIhHHnkEU6dOxcGDBxEZGYnk5GRUV1crHvPyyy/j2WefxfTp0wEAly5dwowZM2CxWLBjxw5UV1fjjjvuQKdOnbB8+XJ/vC3qILzRsgJoGelxHNXRW+FkdIWS3hx6a0UOW5tSMsrbS/PbmqMVqdMDSu9dyyrD7qqok+aU7K44iV8NN57zJPssGXlf6mXiNiYXMo837L4crAi0BJh/u2W44emRsppGQ3k1ANDQfFGb76OzbfdIecDxX1f3wVullfbP7axRvRXvwaZPbBdN7zG94OqDvccMX+z7SHKsPj1Uo2mPUXvqvHS68LhO3tWMYQnYdKBa8e9x8hALZqmWy08a1Avby7StGoz2wpLmPJlaCgQapXduZM8bSFNafg14tmzZovh93bp1iIuLw+7du5GRkYHQ0FBYLMrljRs3bsTvfvc7dO3aUiL8448/xsGDB/HJJ58gPj4eI0aMwFNPPYWHH34Yjz/+OMLDjfciITLKlYrI7tAb8Rhs6aa7QslIroyzJFp1vRp335urS/N9VTtJr41GbJdww/tgMskDC5PJeBDjzmdJ73gN6x2Nf+8yVr9F7ZIQCDGZDPdlOnXW2Gi6LTdI5sZhFmxy6GU1a1RvpPSUt4FI/0UP3Df5F/bAsfzEGWnAYzKZDAdXp1zIlekbq805ytsnz6UamRyNvVUN9nO7fGYqeur0x7ppVCIe/dUQTUCsLi8wLdWChmZl65BRfWJw69XJ2PfOfulzq2VPHIA1BUcVnzlXepfpTXVpcEpLX0NDS82B2Fj5vPTu3buxd+9ezJ8/335bcXExhg0bhvj4y+W6b7jhBjQ2NuLrr7+WPs+5c+fQ2Nio+CEyylNTR0Y469ItW4Hy+wn9DU2b6D2vrF6NqxWU1VyZzmlt2zZ3VpfQy6sZ1dd4x/fRfbtLpyJ+qG+W5iGp978tnyVHevlRVyVFS7efOKiX4vdJqt9tkrq3nAfHPKKpOh2y9aoXL71xsOYY6rkro79mKje5u3x0K6m7MkdLb6QupWcXw+NcPSKNfzFOlnSS15ta7Na5k2ZK7UedHmHH6s9qcs9snw/H51j63n7NaNSeynrEuvAeEmI64/Ocn6dMc1qmTKe40F2+wmAtIU5p6bBarVi8eDHS09ORmir/h/Hqq69iyJAhGD9+vP22mpoaRbADwP57TY28FkRubi6eeOIJD+05dTSuTrt44xu8bBWNsxVKRp9XVq/GE9WeXam0qrfqydOjas6WlBvdX1uCsaKC8zR5Bef65gv22237nyxZOu3K8dbLj5o0OE66/V0ZA/DAlIHYVXESY/p1x5nzl6TTI/bpO4cVbHojE10j5N/2r0mJxXv3pinO4yufyaeUdlWc1DTi1RuBU08tVp2UBxDVDWcNDzBEuFB1Tza1marT+bvg8An7/9umC+9I6yvd9oSk/pO09ILkTQkAeV9Va+/Q8VPjObfKdVgNznf6q2eWnoAJeLKzs3HgwAEUFRVJ729ubsb69euxbNkyt19r6dKlePDBB+2/NzY2Ijk52e3npY7BlWkXd1sP6F2UbV269eq/GGlWKXu8Xr0aT/zRMvoHVhbY6K2ocrcRrLPAxuj+qp9DLyBesfkb+zd12/6/d2+aW8db77UgtEvDbc+bEG22BxbVDc3S7WyFCx2P95s75YUL9ZKLX/nsO2zaX6M4j3o9uqLM2ktR83n5VFnTeeX0k9DJRt7vQpXi64bEIbG7WdHeInviAGknd1nyehedUSa1S0Kgh07geFVStGYaVPa3Rm+peGSE8aAtSTJKpbc6USZjYC/s+0E7M5I9aQBezP/Ob5XtWxMQAc+iRYuQl5eHwsJCJCXJs9LfeecdNDU14Y477lDcbrFYsHPnTsVtx48ft98nExERgYgI42XaiRy50rLCE/2xnHXpdqc/jd7jfd2OY1/VSeysqMPV/WIRF9VZGtj8r1tHeGXkCfBMYUr1c0g7zkv2v+m81a3jrRd8j+7nPCB23O/cmcoRquUzU3Hm/CXD+S96Iz95X10eYbedx3sn9Zdu2yjp3aXX96riRJMiMBijszTf6OiOrRrwNzWnFO0tLujktMhGePT2Va0l6NTmAAFASXkdFvyf3ZoRzBHJMYoprCsTo3DgmDLYMAHo3sX4lJbseOvlo8mcPndJk0w9a1RvLLlhMG67pq/fe2bp8WvAI4TAfffdh40bNyI/Px8pKfJaBkDLdNZvfvMb9OqlnHNOS0vD008/jdraWsTFtQzjbt26FVFRURg6dKhX9586LqPBhqeScPUuyu5erGWP92Wjvz/+e6/ij2bGwJ4uj1i4y5XVdnrbqm9XBxsPTRuEZ7Z8I93/tAE92ny8PTEtB2iXbss+tyEAIDkH3Tobu4xcEgLxOrkusuKaejWG6prOK4r5PTxd3l5DlmsjY1tV584iAHUXeZs5aX3x+heVinMzuq92OjrEBLxSWG4P0mwBYs+u4Zp8HXWwY3sPrtT3kR1vWz6akUCx6cJFPPe7Ebgjra99etQ2aujvyvbO+DXgyc7Oxvr16/HBBx+gW7du9pyb6OhomM2XD9i3336LwsJCbNq0SfMcU6dOxdChQ3H77bdj5cqVqKmpwWOPPYbs7GyO4pBXGfmH7cpoUCDxxR+tfVUnNQ0bC4+c0PzRdWXEwlWu5AUZLQ8ga7aaEG3G4eOnFO9XXXyxrWUAXJ2Wk42oOS7dfuS9AyjKmaRbmVp9W2SE/DIiO48JOv2xZPQSgV/YflQRGDyz+RvpdnojHrIgRh3IAZfblPyz6DvF6JdjQrEtyDXrtGWYlpqAjCt6Yvs3P2HS4F6YPKRl1kE9qjZ/Qgpe+axc8dhLQmD7N9r8Kj169X1kK+DUXeRtnxN1x/gRP68yU0tNbMlZUpfQCHR+DXjWrFkDAJg4caLi9rVr12Lu3Ln231977TUkJSVh6tSpmucIDQ1FXl4e7rnnHqSlpSEyMhJz5szBk08+6c1dJzLMlyMmgUz9B1avd9iMYQnYfKDGrRELo/tjNC/IlfIAjs/heHGUJRf/6YZBHikDYDRAVY+o/VJnRK3iRJPu8VbfpreiLGf6YKzcUqY4j+peTzbbDtVKO9HLqMNCvfzZGHM4npk1TJGX88ysYQC0QZts1CXUZEKPruHSwoXqIPfhaYOlj//XFxX2YOP1kkrMGtXbXkzU8Xl7douQPn54cjReL5G/P7XaRnkdnaSYLoruKVenxOrmyak/o1/p5EFN+XnFnrdqkXmL36e0jFi+fLnTIoJ9+/aVjv4QBYpAHub1BdkfWL0piwUZKdJ6JIBnj6MnCiLKygPInsPVMgDuJmPLyEbUPjtyQrOdetpGPfKkPgd6DUyv6R+LopxJivP4r+IK6ba9oiIMJeyG/FzIz3GP9OoFJcea8U2Ntgu60dy1h6a3NJZVj37JgtyVW8rw8PTBWLn5coB397X9NUnP7375I24cZtGMqq3cXIaHp2kDxM4u9BNLjjVLpyH/WfSd4rWWvrtfMaJl+8zJik1aBbAwI8U+3WbC5TYnvqpF5kkBkbRMRIGvrd/m9EZHinImSRMfHXMBvMkTBRH1ygOon8PXZQBsHM+Z3ojar66yYPP+45oRNaMXNL3ntS01d3wfU4bGY9kHyvpoJgBnzl3SNNmcPbaPoWm1Oyf000wHAUBVXbNidAcAHn53v2b0zcboaju9IPeq3jGKAE+vsev2sp/kj0+K0QSIes8h09h8ETeNVP57mjCwJwpVQa0V0AyT6RWbDDWZMC89BfPSUzSjer4K1D2JAQ8Rtcqdb3PORlL0Eh99wZX8qraWB2jt8d4sA6A+Z3qNMxf8sj8enTG0zRc0vZE6WWJsQrQZz6jrFk2X1y3KuKKXoWk1AHi1qFxzDD89JK/Dtnr7EfxP5lW6x802otXWINf2eL3jMjwpGq9Lbu8SHqIJxEb3Nf7vIcocppmSKvpWmxOnl3xuK7hppNSFJ1af+gMDHiJyyt1vc62NpPgz8dHVgojulAfwZRkA2Tlbk/8dpqdasPmANoEVaPsFbXhyd6cjdTKO+SsnTp1z+lqy0Rj1bbJj+C9JF3YA2Fcpz0uRBfWuBLmyXCzZcendXR7Mypa7A/p1d9RkfcqsomXlo+Moz02jeuPqlFi3Vvb5sgWMJzHgISKn3P025+2VarKpNlem31zJC3K3PICvygDonbM70vrh7mv7tzqi5uyCJju2Rkfq7K0Sfv5doGV0Rraiy5WLp+wYNjZfkC7h/s2IRN39kk27qqeZZK8HAONztylWj+W8tx8505RL5q9OidVthSEraFh+4ozhtXspPbtIc57UeVq2ZHnZ+wKCe/UpAx4icsoT3+a8tVJN9q0cQLtLpvR0Uruzc5YQbW51RM1ekPDd/bCiZRpEbxTDdmyNjNTptUpYmJGCVz+rcOviqT6GCzJaGmTWnblcmTk2shMWZAzQBG3OgnrH3lZ6r5f31TFtx3gB5KqWzOe8tx+rbhkh3X/ZCI9ecCTTJbyTJgiR5Te19r6Mao+rTxnwEJFTnvw2Z7TWjJERGtm3cr0VKIGeTOlpHjtnDuuZHXuBAW07tnqBmCwx1hO+XDYVrxQexZYDNZiWasGCjAG6S7LdCepPNsnba6gJAVTqNN6UjfDo9RMzmZTL5PWKWAItBRSF6rGemnpqb6tPGfAQdWBGp37c/TbniQJ/atLRAkC6AiVQkikdi/55O2/JnXMmCyYdgx0bV49ta4GY0edxZcpyQcYALMgYoPu+bFNX6hYOw5Oj7QncstdyPJd6PcJkTpySB0c/nGzWfCb0AkTbknlZQUR1/ScNo3NkQYgBD1EH5erKq7Z+m/NEgT/Ztq60PwiEZEp10T/HInTe0tZzpjf15G6uDeDb4FlNb+rqk4PHNS0cvqysx7P/7xusyT+qeS31ubxxmMVwcnF4mLxnlWyUSC9ABLTtQGRkOUACCJgvAL6mHUMjoqCnF1joVc11h7P8CNu+7Dh6wv5N2tm2jmwXg9Cfmx6GmkzInTVMc1sgJFPKiv69++WP2Fd1UvcxjsfF12zBpKNQkwk50wd75NgmRJsN55A4Hoe2fG4dH6/3vvSaf67eflTzWp8eqtGcy037azBxkLLP4y8H9pQ+Z0SY/LIbY5a3wpg9tg+KcibhzQXXoChnEjKu6CVtByI7BnrvNxC+APgDR3iIOiBf1tFwlkBrtES/3h9oo+0P/M1ZcT5ZXyN/V7HVG1mYPbYPfjMi0WfHVn0c5k9Icelza3Sp+Xmdzuhqzvpb5Zcpby+SVLEGgOE6TT5HS+oW2TiO1O04esLwMWivq6m8hQEPUQfkyzoazobljZTob+0PtJE6Lf7mrDifLOhz7Kzur8RrvWDSV8dWNprzalG5dFtZwq8rS82rG5qx7P2vNc8hm8LT628lmzqSOXvBqnlek3yWS8qVZe1A+1xN5S0MeIg6CPUogi+/+cn+6Op9U1WX6G9r3pAs0dTdZodtfbxecb64qM646YUd2uRg1eP9lXjtz8BRL49IRrak25Wl5gnRLRWgc97dr+gZBWgbjeoVDlSvnNLLJ7MK7VpFIYzn1eit3LIdA9lnNNC+APgLAx6iDkBvisSX3/zUf3RbqxXT1v3Re6/uThO5+3hZcT5Z0GeFdmTBk0uJ24uUnpHa4/Dzf40kTrs6iulKd3i9lVPqkcmd5XWKIDdzZCLG9It1+fw6BjGuTBG3hxpUvsSkZaIg5yzR05XkUU+TJR27O8qk9173Vcm7khtNCPZUkvfw5O6Y/8v+9uXHsqTSEEimRzrAUmKjSdpGE6edfb70Xkv270F9m97z3pUxQJNcrO5t9f6eY/Lu8k7O79ullRifuw3/9UoJxuduQ+Hhn5A7c5j9c2Nblg5op4i9tRChveIID1GQC+RGf54eZXK1w7XRY+CtYyibWpx9dRLWl1Rptv3y+5OYcVVwTkvIRiaSY7tI82JkXcX1yD5fnhgFMZLfpDdlW1px0vBS8eqGZvs0m227nHf3I+fGwZpl6YH87zxQMOAhCnKB3ujPk/kFbe1w3dbn9cQxnD22DwZbuqG04iTG9uuOyromacATTKM8jlM0gHxk4r1701ya8tTLr1IX4nOnEa6j1j63nvgs7qqokwZHuZu+Ufze2vGiFpzSIgpy3pg6CiSO0xO296oe7rd1uG7rMfDmMXy7tBI3vbAD//N/D+GmF3bgWMNZqGa5YILzZcuBSjZ19HZpJdJXtEzRpK/YhrVF5dKRiabzVsPHXP2cb5dWSvfHlTpPbXlvjhKizbhpZG/FbZkjE+2fRdvF19anTPa+TAaXb7l6vDoqjvAQdQDBujRVr3morAqteiTF1dYO3jiGshGHlZvLkDN9sH21VgiA3FnD2t050+tZpX6///ysXHdkQt0bSnYM3K3O3ZZRECPTYtUNzdIcnj/dMKjlF4c+ZXpG9+3uUuK2kePVkTHgIeoggm1pqrR56Hv7IQQ0VWgzrujltNO3UZ4+hnojDlclxeDzpde5feFydxl+W+kFIX+7Zbh0VdrCCf3xalG5bn8tZ/vuSu6KJ8oxGA2w9Pbry+/lCfSyAC0h2owVs4ZJg3pn/ciC6d+5JzHgISJD/HXx1GO0TourFxlfclZEzt0Llz+XKOtd7ENMJnm39An9MG9CvzYFeJ5afm6U0QBLb7+sQriUXKw3MsmRHNcxh4eIWmU0R8KXpEu6TdoZgtYuMv7UWhG5tvLUMvq29vPS6+E0qq9+LlVbSyS0Jb/KnXIMRvtT6e3XmH6xLvW3eru0EpmrW3K8MlfvsP/b82dJifaKIzxE5JQnV7Z4krOWFerbbBeZQFvB4q3VX55YouzOCJGzqSNv5EL5MkfNlWkxvf0y+ni9Zen+/rfXXjHgISKnArm+hyvNQz3RSsPT03reavHhbiDliSDXWRDijTwTvef0xlSsKwGWbL+MPl5vWfruipP41XAGPK5iwENETrXHOj7uXGT0eCInRnbxdXW/jFzA3Q2kPBXk+juB1pt5TO6+NyOP11uW7kqzUbqMAQ8ROeWtUQh/aOtFyhMjHs4uvkb3y5ULuDsBXqAHuUYE6lSsK6TL0k3AqL7tryZTIGDSMhG1avbYPoo+QR2tIaG7Bes8kUTclucwmtiqTk4OhmKVniwy6C+2ZemOhTRXzGx/NZkCBUd4iMgQf09P+JO7Ix6emCLyVi6V3qiRNxOBfVHiIBhGqYDgLRrqDxzhISJqhbsjHkaXMjtSj7q05Tla09qokTeWPvuqxEEwjFLZcAm6Z3CEh4jIAHe+abuaB6U36uLpXCpfr8DzdV4NR0fIEQMeIiKD3JnWM3rxdRYUePoC7utpH3+UOJCds0CrGk6+wYCHiMggdy+URgKm1oICT+ZS+XoFXiDk1fiz5Qb5FwMeIiIDfHWhTOkZKV2K7K2gIFCrFHtDMCxVp7ZjwENE1Aq/XyglTVE9yZcr8PyZVxPIVcPJ+xjwEBG1wpcXyvITZ6TtBILpouyvEgeBMKVG/sNl6URErfDGkvBAeC2btnZFb2+Caak6uY4jPERErfBl7omv81w6WhJvey+oSG1nEkJ4eXY48DU2NiI6OhoNDQ2Iiory9+4QUYCqbmj2We6JL16ruqEZ6Su2aaZ4inIm8YLtoo4WOAYKV67fHOEhIjLIl7knvngtJvF6ht+T2skQ5vAQEXVQ/sgXCkbB0Ki0I2DAQ0TUQTGJ1zMYOLYPnNIiIurA2G/Kff4uqEjGMOAhIurg/FUXJ5gwcAx8DHiIiIg8gIFjYGMODxEREQU9BjxEREQU9BjwEBERUdBjwENERERBjwEPERGRj3WUhq2BhKu0iIiIfIh9t/yDIzxEREQ+otd3iyM93seAh4iIyEfYd8t/GPAQERH5CPtu+Q8DHiIiIh9hw1b/YdIyERGRD7Hvln8w4CEiIvIx9t3yPU5pERERUdBjwENERERBjwEPERERBT0GPERERBT0/Brw5ObmYuzYsejWrRvi4uKQmZmJsrIyzXbFxcW47rrrEBkZiaioKGRkZKC5+XJVyrq6OmRlZSEqKgoxMTGYP38+Tp8+7cu3QkRERAHMrwFPQUEBsrOz8cUXX2Dr1q24cOECpk6dijNnzti3KS4uxrRp0zB16lTs3LkTpaWlWLRoEUJCLu96VlYWvv76a2zduhV5eXkoLCzEwoUL/fGWiIiIKACZhBCi9c1846effkJcXBwKCgqQkZEBALjmmmtw/fXX46mnnpI+5tChQxg6dChKS0sxZswYAMCWLVtw44034ocffkBiYmKrr9vY2Ijo6Gg0NDQgKirKc2+IiIiIvMaV63dA5fA0NDQAAGJjYwEAtbW1KCkpQVxcHMaPH4/4+Hhce+21KCoqsj+muLgYMTEx9mAHAKZMmYKQkBCUlJRIX+fcuXNobGxU/BAREVHwCpiAx2q1YvHixUhPT0dqaioA4LvvvgMAPP7441iwYAG2bNmCUaNGYfLkyThy5AgAoKamBnFxcYrnCgsLQ2xsLGpqaqSvlZubi+joaPtPcnKyF98ZERER+VvABDzZ2dk4cOAA3nrrLfttVqsVAHDXXXdh3rx5GDlyJJ5//nkMGjQIr732Wptfa+nSpWhoaLD/VFVVub3/REREFLgCorXEokWL7MnGSUlJ9tsTEhIAAEOHDlVsP2TIEFRWVgIALBYLamtrFfdfvHgRdXV1sFgs0teLiIhARESEJ98CERERBTC/BjxCCNx3333YuHEj8vPzkZKSori/X79+SExM1CxVP3z4MKZPnw4ASEtLQ319PXbv3o3Ro0cDALZt2war1Ypx48YZ3g8AzOUhIiJqR2zXbUPrr4Qf3XPPPSI6Olrk5+eL6upq+09TU5N9m+eff15ERUWJDRs2iCNHjojHHntMdO7cWXz77bf2baZNmyZGjhwpSkpKRFFRkRg4cKC49dZbDe9HVVWVAMAf/vCHP/zhD3/a4U9VVVWr13q/Lks3mUzS29euXYu5c+faf1+xYgVWr16Nuro6DB8+HCtXrsSECRPs99fV1WHRokX46KOPEBISglmzZmHVqlXo2rWrof2wWq04duwYunXrprtP/tLY2Ijk5GRUVVVxyXw7wXPWvvB8tT88Z+2Pt86ZEAKnTp1CYmKioj6fTEDV4SEt1ghqf3jO2heer/aH56z9CYRzFjCrtIiIiIi8hQEPERERBT0GPAEuIiIC//3f/81l9O0Iz1n7wvPV/vCctT+BcM6Yw0NERERBjyM8REREFPQY8BAREVHQY8BDREREQY8BDxEREQU9BjwBIDc3F2PHjkW3bt0QFxeHzMxMTf+ws2fPIjs7Gz169EDXrl0xa9YsHD9+3E97TGorVqyAyWTC4sWL7bfxnAWWH3/8Ebfddht69OgBs9mMYcOGYdeuXfb7hRD485//jISEBJjNZkyZMgVHjhzx4x53bJcuXcKyZcuQkpICs9mMAQMG4KmnnlL0TOI586/CwkL8+te/RmJiIkwmE95//33F/UbOT11dHbKyshAVFYWYmBjMnz8fp0+f9sr+MuAJAAUFBcjOzsYXX3yBrVu34sKFC5g6dSrOnDlj3+aBBx7ARx99hA0bNqCgoADHjh3DzJkz/bjXZFNaWoqXXnoJV111leJ2nrPAcfLkSaSnp6NTp07YvHkzDh48iOeeew7du3e3b7Ny5UqsWrUKL774IkpKShAZGYkbbrgBZ8+e9eOed1zPPPMM1qxZg3/84x84dOgQnnnmGaxcuRJ///vf7dvwnPnXmTNnMHz4cKxevVp6v5Hzk5WVha+//hpbt25FXl4eCgsLsXDhQu/ssOEOm+QztbW1AoAoKCgQQghRX18vOnXqJDZs2GDf5tChQwKAKC4u9tdukhDi1KlTYuDAgWLr1q3i2muvFffff78Qgucs0Dz88MNiwoQJuvdbrVZhsVjEs88+a7+tvr5eREREiDfffNMXu0gqM2bMEHfeeafitpkzZ4qsrCwhBM9ZoAEgNm7caP/dyPk5ePCgACBKS0vt22zevFmYTCbx448/enwfOcITgBoaGgAAsbGxAIDdu3fjwoULmDJlin2bwYMHo0+fPiguLvbLPlKL7OxszJgxQ3FuAJ6zQPPhhx9izJgxuPnmmxEXF4eRI0filVdesd9fXl6OmpoaxfmKjo7GuHHjeL78ZPz48fj0009x+PBhAMC+fftQVFSE6dOnA+A5C3RGzk9xcTFiYmIwZswY+zZTpkxBSEgISkpKPL5PYR5/RnKL1WrF4sWLkZ6ejtTUVABATU0NwsPDERMTo9g2Pj4eNTU1fthLAoC33noLX375JUpLSzX38ZwFlu+++w5r1qzBgw8+iEceeQSlpaX4wx/+gPDwcMyZM8d+TuLj4xWP4/nyn5ycHDQ2NmLw4MEIDQ3FpUuX8PTTTyMrKwsAeM4CnJHzU1NTg7i4OMX9YWFhiI2N9co5ZMATYLKzs3HgwAEUFRX5e1fIiaqqKtx///3YunUrOnfu7O/doVZYrVaMGTMGy5cvBwCMHDkSBw4cwIsvvog5c+b4ee9I5t///jfeeOMNrF+/HldeeSX27t2LxYsXIzExkeeM2oRTWgFk0aJFyMvLw/bt25GUlGS/3WKx4Pz586ivr1dsf/z4cVgsFh/vJQEtU1a1tbUYNWoUwsLCEBYWhoKCAqxatQphYWGIj4/nOQsgCQkJGDp0qOK2IUOGoLKyEgDs50S9io7ny3+WLFmCnJwc3HLLLRg2bBhuv/12PPDAA8jNzQXAcxbojJwfi8WC2tpaxf0XL15EXV2dV84hA54AIITAokWLsHHjRmzbtg0pKSmK+0ePHo1OnTrh008/td9WVlaGyspKpKWl+Xp3CcDkyZOxf/9+7N271/4zZswYZGVl2f+f5yxwpKena0o9HD58GH379gUApKSkwGKxKM5XY2MjSkpKeL78pKmpCSEhyktUaGgorFYrAJ6zQGfk/KSlpaG+vh67d++2b7Nt2zZYrVaMGzfO8zvl8TRoctk999wjoqOjRX5+vqiurrb/NDU12be5++67RZ8+fcS2bdvErl27RFpamkhLS/PjXpOa4yotIXjOAsnOnTtFWFiYePrpp8WRI0fEG2+8Ibp06SJef/11+zYrVqwQMTEx4oMPPhBfffWV+O1vfytSUlJEc3OzH/e845ozZ47o3bu3yMvLE+Xl5eK9994TPXv2FA899JB9G54z/zp16pTYs2eP2LNnjwAg/vrXv4o9e/aI77//Xghh7PxMmzZNjBw5UpSUlIiioiIxcOBAceutt3plfxnwBAAA0p+1a9fat2lubhb33nuv6N69u+jSpYu46aabRHV1tf92mjTUAQ/PWWD56KOPRGpqqoiIiBCDBw8WL7/8suJ+q9Uqli1bJuLj40VERISYPHmyKCsr89PeUmNjo7j//vtFnz59ROfOnUX//v3Fo48+Ks6dO2ffhufMv7Zv3y69ds2ZM0cIYez8/Oc//xG33nqr6Nq1q4iKihLz5s0Tp06d8sr+moRwKFtJREREFISYw0NERERBjwEPERERBT0GPERERBT0GPAQERFR0GPAQ0REREGPAQ8REREFPQY8REREFPQY8BARedDJkyfxxBNPoLq62t+7QkQOGPAQUYdQUVEBk8mEvXv36m6Tn58Pk8lkb/q6bt06xMTEGH4NIQTmzJmD5uZmJCQkuLfDRORRDHiIyGfmzp2LzMxMze3qQMMbkpOTUV1djdTUVMOPmT17Ng4fPmz//fHHH8eIESN0t3/22WcRFRVl7+hNRIEjzN87QETkC6GhobBYLC49xmw2w2w2G97+oYcecnW3iMhHOMJDRAFFNoryt7/9Df369bP/bhspWr58OeLj4xETE4Mnn3wSFy9exJIlSxAbG4ukpCSsXbvW/hjZlNamTZtwxRVXwGw2Y9KkSaioqFC8ruOU1rp16/DEE09g3759MJlMMJlMWLduHQCgvr4ev//979GrVy9ERUXhuuuuw759+zx4VIjIXRzhIaJ2adu2bUhKSkJhYSE+//xzzJ8/Hzt27EBGRgZKSkrw9ttv46677sL111+PpKQkzeOrqqowc+ZMZGdnY+HChdi1axf++Mc/6r7e7NmzceDAAWzZsgWffPIJACA6OhoAcPPNN8NsNmPz5s2Ijo7GSy+9hMmTJ+Pw4cOIjY31zgEgIpdwhIeIfCovLw9du3ZV/EyfPt3l54mNjcWqVaswaNAg3HnnnRg0aBCamprwyCOPYODAgVi6dCnCw8NRVFQkffyaNWswYMAAPPfccxg0aBCysrIwd+5c3dczm83o2rUrwsLCYLFYYLFYYDabUVRUhJ07d2LDhg0YM2YMBg4ciL/85S+IiYnBO++84/L7IiLv4AgPEfnUpEmTsGbNGsVtJSUluO2221x6niuvvBIhIZe/s8XHxysSkkNDQ9GjRw/U1tZKH3/o0CGMGzdOcVtaWppL+wAA+/btw+nTp9GjRw/F7c3NzTh69KjLz0dE3sGAh4h8KjIyEr/4xS8Ut/3www/2/w8JCYEQQnH/hQsXNM/TqVMnxe8mk0l6m9VqdXeXnTp9+jQSEhKQn5+vuc+VJe1E5F0MeIgooPTq1Qs1NTUQQsBkMgGA09o5bTVkyBB8+OGHitu++OILp48JDw/HpUuXFLeNGjUKNTU1CAsLUyRWE1FgYQ4PEQWUiRMn4qeffsLKlStx9OhRrF69Gps3b/b469x99904cuQIlixZgrKyMqxfv96+6kpPv379UF5ejr179+LEiRM4d+4cpkyZgrS0NGRmZuLjjz9GRUUFduzYgUcffRS7du3y+H4TUdsw4CGigDJkyBC88MILWL16NYYPH46dO3fiT3/6k8dfp0+fPnj33Xfx/vvvY/jw4XjxxRexfPlyp4+ZNWsWpk2bhkmTJqFXr1548803YTKZsGnTJmRkZGDevHm44oorcMstt+D7779HfHy8x/ebiNrGJNST5URERERBhiM8REREFPQY8BAREVHQY8BDREREQY8BDxEREQU9BjxEREQU9BjwEBERUdBjwENERERBjwEPERERBT0GPERERBT0GPAQERFR0GPAQ0REREHv/wOogtYHJZ2g6wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(x=\"Humidité\", y=\"Température\", linestyle=\"\", marker=\".\", legend=False)\n",
    "ax.set_ylabel('Température')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "tdf = df.set_index(\"Date\").sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>ID OMM station</th>\n",
       "      <th>Pression au niveau mer</th>\n",
       "      <th>Variation de pression en 3 heures</th>\n",
       "      <th>Type de tendance barométrique</th>\n",
       "      <th>Direction du vent moyen 10 mn</th>\n",
       "      <th>Vitesse du vent moyen 10 mn</th>\n",
       "      <th>Température</th>\n",
       "      <th>Point de rosée</th>\n",
       "      <th>Humidité</th>\n",
       "      <th>Visibilité horizontale</th>\n",
       "      <th>...</th>\n",
       "      <th>Type nuage 3</th>\n",
       "      <th>Hauteur de base 3</th>\n",
       "      <th>Nébulosité couche nuageuse 4</th>\n",
       "      <th>Type nuage 4</th>\n",
       "      <th>Hauteur de base 4</th>\n",
       "      <th>Coordonnees</th>\n",
       "      <th>Nom</th>\n",
       "      <th>Type de tendance barométrique.1</th>\n",
       "      <th>Temps passé 1.1</th>\n",
       "      <th>Temps présent.1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-01 00:00:00+00:00</th>\n",
       "      <td>7240</td>\n",
       "      <td>99320</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>276.55</td>\n",
       "      <td>275.55</td>\n",
       "      <td>93</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Pluie</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 03:00:00+00:00</th>\n",
       "      <td>7240</td>\n",
       "      <td>99400</td>\n",
       "      <td>70.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>274.95</td>\n",
       "      <td>273.95</td>\n",
       "      <td>93</td>\n",
       "      <td>2600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 06:00:00+00:00</th>\n",
       "      <td>7240</td>\n",
       "      <td>99610</td>\n",
       "      <td>210.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>274.05</td>\n",
       "      <td>272.55</td>\n",
       "      <td>90</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 09:00:00+00:00</th>\n",
       "      <td>7240</td>\n",
       "      <td>99950</td>\n",
       "      <td>330.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>4.6</td>\n",
       "      <td>273.65</td>\n",
       "      <td>271.75</td>\n",
       "      <td>87</td>\n",
       "      <td>6000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01 12:00:00+00:00</th>\n",
       "      <td>7240</td>\n",
       "      <td>100250</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>5.7</td>\n",
       "      <td>273.65</td>\n",
       "      <td>270.95</td>\n",
       "      <td>82</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 63 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           ID OMM station  Pression au niveau mer  \\\n",
       "Date                                                                \n",
       "2010-01-01 00:00:00+00:00            7240                   99320   \n",
       "2010-01-01 03:00:00+00:00            7240                   99400   \n",
       "2010-01-01 06:00:00+00:00            7240                   99610   \n",
       "2010-01-01 09:00:00+00:00            7240                   99950   \n",
       "2010-01-01 12:00:00+00:00            7240                  100250   \n",
       "\n",
       "                           Variation de pression en 3 heures  \\\n",
       "Date                                                           \n",
       "2010-01-01 00:00:00+00:00                                0.0   \n",
       "2010-01-01 03:00:00+00:00                               70.0   \n",
       "2010-01-01 06:00:00+00:00                              210.0   \n",
       "2010-01-01 09:00:00+00:00                              330.0   \n",
       "2010-01-01 12:00:00+00:00                              300.0   \n",
       "\n",
       "                           Type de tendance barométrique  \\\n",
       "Date                                                       \n",
       "2010-01-01 00:00:00+00:00                            5.0   \n",
       "2010-01-01 03:00:00+00:00                            3.0   \n",
       "2010-01-01 06:00:00+00:00                            3.0   \n",
       "2010-01-01 09:00:00+00:00                            3.0   \n",
       "2010-01-01 12:00:00+00:00                            2.0   \n",
       "\n",
       "                           Direction du vent moyen 10 mn  \\\n",
       "Date                                                       \n",
       "2010-01-01 00:00:00+00:00                           30.0   \n",
       "2010-01-01 03:00:00+00:00                           20.0   \n",
       "2010-01-01 06:00:00+00:00                          360.0   \n",
       "2010-01-01 09:00:00+00:00                          360.0   \n",
       "2010-01-01 12:00:00+00:00                          330.0   \n",
       "\n",
       "                           Vitesse du vent moyen 10 mn  Température  \\\n",
       "Date                                                                  \n",
       "2010-01-01 00:00:00+00:00                          4.6       276.55   \n",
       "2010-01-01 03:00:00+00:00                          4.6       274.95   \n",
       "2010-01-01 06:00:00+00:00                          5.1       274.05   \n",
       "2010-01-01 09:00:00+00:00                          4.6       273.65   \n",
       "2010-01-01 12:00:00+00:00                          5.7       273.65   \n",
       "\n",
       "                           Point de rosée  Humidité  Visibilité horizontale  \\\n",
       "Date                                                                          \n",
       "2010-01-01 00:00:00+00:00          275.55        93                  4000.0   \n",
       "2010-01-01 03:00:00+00:00          273.95        93                  2600.0   \n",
       "2010-01-01 06:00:00+00:00          272.55        90                  7000.0   \n",
       "2010-01-01 09:00:00+00:00          271.75        87                  6000.0   \n",
       "2010-01-01 12:00:00+00:00          270.95        82                 10000.0   \n",
       "\n",
       "                           ... Type nuage 3 Hauteur de base 3  \\\n",
       "Date                       ...                                  \n",
       "2010-01-01 00:00:00+00:00  ...          NaN               NaN   \n",
       "2010-01-01 03:00:00+00:00  ...          NaN               NaN   \n",
       "2010-01-01 06:00:00+00:00  ...          NaN               NaN   \n",
       "2010-01-01 09:00:00+00:00  ...          NaN               NaN   \n",
       "2010-01-01 12:00:00+00:00  ...          NaN               NaN   \n",
       "\n",
       "                           Nébulosité couche nuageuse 4  Type nuage 4  \\\n",
       "Date                                                                    \n",
       "2010-01-01 00:00:00+00:00                           NaN           NaN   \n",
       "2010-01-01 03:00:00+00:00                           NaN           NaN   \n",
       "2010-01-01 06:00:00+00:00                           NaN           NaN   \n",
       "2010-01-01 09:00:00+00:00                           NaN           NaN   \n",
       "2010-01-01 12:00:00+00:00                           NaN           NaN   \n",
       "\n",
       "                           Hauteur de base 4        Coordonnees    Nom  \\\n",
       "Date                                                                     \n",
       "2010-01-01 00:00:00+00:00                NaN  47.4445, 0.727333  TOURS   \n",
       "2010-01-01 03:00:00+00:00                NaN  47.4445, 0.727333  TOURS   \n",
       "2010-01-01 06:00:00+00:00                NaN  47.4445, 0.727333  TOURS   \n",
       "2010-01-01 09:00:00+00:00                NaN  47.4445, 0.727333  TOURS   \n",
       "2010-01-01 12:00:00+00:00                NaN  47.4445, 0.727333  TOURS   \n",
       "\n",
       "                           Type de tendance barométrique.1  Temps passé 1.1  \\\n",
       "Date                                                                          \n",
       "2010-01-01 00:00:00+00:00                              5.0            Pluie   \n",
       "2010-01-01 03:00:00+00:00                              3.0              NaN   \n",
       "2010-01-01 06:00:00+00:00                              3.0              NaN   \n",
       "2010-01-01 09:00:00+00:00                              3.0              NaN   \n",
       "2010-01-01 12:00:00+00:00                              2.0              NaN   \n",
       "\n",
       "                           Temps présent.1  \n",
       "Date                                        \n",
       "2010-01-01 00:00:00+00:00               60  \n",
       "2010-01-01 03:00:00+00:00               10  \n",
       "2010-01-01 06:00:00+00:00               20  \n",
       "2010-01-01 09:00:00+00:00                0  \n",
       "2010-01-01 12:00:00+00:00                0  \n",
       "\n",
       "[5 rows x 63 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID OMM station</th>\n",
       "      <th>Date</th>\n",
       "      <th>Pression au niveau mer</th>\n",
       "      <th>Variation de pression en 3 heures</th>\n",
       "      <th>Type de tendance barométrique</th>\n",
       "      <th>Direction du vent moyen 10 mn</th>\n",
       "      <th>Vitesse du vent moyen 10 mn</th>\n",
       "      <th>Température</th>\n",
       "      <th>Point de rosée</th>\n",
       "      <th>Humidité</th>\n",
       "      <th>...</th>\n",
       "      <th>Type nuage 3</th>\n",
       "      <th>Hauteur de base 3</th>\n",
       "      <th>Nébulosité couche nuageuse 4</th>\n",
       "      <th>Type nuage 4</th>\n",
       "      <th>Hauteur de base 4</th>\n",
       "      <th>Coordonnees</th>\n",
       "      <th>Nom</th>\n",
       "      <th>Type de tendance barométrique.1</th>\n",
       "      <th>Temps passé 1.1</th>\n",
       "      <th>Temps présent.1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-08 15:00:00+00:00</td>\n",
       "      <td>101380</td>\n",
       "      <td>-130.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>298.65</td>\n",
       "      <td>285.45</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-09 18:00:00+00:00</td>\n",
       "      <td>102000</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>289.45</td>\n",
       "      <td>286.75</td>\n",
       "      <td>84</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2940.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-10 06:00:00+00:00</td>\n",
       "      <td>102500</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>285.85</td>\n",
       "      <td>284.25</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-15 15:00:00+00:00</td>\n",
       "      <td>102030</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>298.05</td>\n",
       "      <td>285.95</td>\n",
       "      <td>47</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7240</td>\n",
       "      <td>2018-08-18 03:00:00+00:00</td>\n",
       "      <td>102440</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>330.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>285.65</td>\n",
       "      <td>283.15</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.4445, 0.727333</td>\n",
       "      <td>TOURS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 64 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID OMM station                      Date  Pression au niveau mer  \\\n",
       "0            7240 2018-08-08 15:00:00+00:00                  101380   \n",
       "1            7240 2018-08-09 18:00:00+00:00                  102000   \n",
       "2            7240 2018-08-10 06:00:00+00:00                  102500   \n",
       "3            7240 2018-08-15 15:00:00+00:00                  102030   \n",
       "4            7240 2018-08-18 03:00:00+00:00                  102440   \n",
       "\n",
       "   Variation de pression en 3 heures  Type de tendance barométrique  \\\n",
       "0                             -130.0                            7.0   \n",
       "1                              200.0                            2.0   \n",
       "2                              120.0                            3.0   \n",
       "3                             -150.0                            8.0   \n",
       "4                               10.0                            0.0   \n",
       "\n",
       "   Direction du vent moyen 10 mn  Vitesse du vent moyen 10 mn  Température  \\\n",
       "0                          250.0                          4.0       298.65   \n",
       "1                          250.0                          2.9       289.45   \n",
       "2                          250.0                          2.3       285.85   \n",
       "3                          320.0                          2.1       298.05   \n",
       "4                          330.0                          0.7       285.65   \n",
       "\n",
       "   Point de rosée  Humidité  ...  Type nuage 3 Hauteur de base 3  \\\n",
       "0          285.45        44  ...           NaN               NaN   \n",
       "1          286.75        84  ...           NaN            2940.0   \n",
       "2          284.25        90  ...           NaN               NaN   \n",
       "3          285.95        47  ...           NaN               NaN   \n",
       "4          283.15        85  ...           NaN               NaN   \n",
       "\n",
       "  Nébulosité couche nuageuse 4  Type nuage 4  Hauteur de base 4  \\\n",
       "0                          NaN           NaN                NaN   \n",
       "1                          NaN           NaN                NaN   \n",
       "2                          NaN           NaN                NaN   \n",
       "3                          NaN           NaN                NaN   \n",
       "4                          NaN           NaN                NaN   \n",
       "\n",
       "         Coordonnees    Nom  Type de tendance barométrique.1  Temps passé 1.1  \\\n",
       "0  47.4445, 0.727333  TOURS                              7.0              NaN   \n",
       "1  47.4445, 0.727333  TOURS                              2.0              NaN   \n",
       "2  47.4445, 0.727333  TOURS                              3.0              NaN   \n",
       "3  47.4445, 0.727333  TOURS                              8.0              NaN   \n",
       "4  47.4445, 0.727333  TOURS                              0.0              NaN   \n",
       "\n",
       "   Temps présent.1  \n",
       "0                0  \n",
       "1                0  \n",
       "2                0  \n",
       "3                0  \n",
       "4                0  \n",
       "\n",
       "[5 rows x 64 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
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   ]
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  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
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     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tdf.plot(y=[\"Température\", \"Humidité\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "tdf.plot(y=\"Température\", ax=ax1, legend=False, linestyle=\"\", marker=\".\", color=\"r\")\n",
    "tdf.plot(y=\"Humidité\", ax=ax2, legend=False, linestyle=\"\", marker=\".\", color=\"b\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "tdf['2010':'2011'].plot(y=\"Température\", ax=ax1, legend=False, linestyle=\"\", marker=\".\", color=\"r\")\n",
    "tdf['2010':'2011'].plot(y=\"Humidité\", ax=ax2, legend=False, linestyle=\"\", marker=\".\", color=\"b\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Date'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "rtdf = tdf[[\"Température\", \"Humidité\"]].rolling(\"30d\").median()\n",
    "\n",
    "rtdf.plot(y=\"Température\", ax=ax1, legend=False, color=\"r\")\n",
    "rtdf.plot(y=\"Humidité\", ax=ax2, legend=False, color=\"b\")\n"
   ]
  }
 ],
 "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": "3.12.1"
  },
  "toc-autonumbering": false,
  "toc-showcode": false,
  "toc-showmarkdowntxt": false,
  "toc-showtags": false
 },
 "nbformat": 4,
 "nbformat_minor": 4
}