precipForeCasting/forecastPrecip-LSTM-1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6055446c-3baf-422a-85ac-06a7026e3c13",
   "metadata": {},
   "source": [
    "# Forcasting precipitations in Morocco communes 2000-2018 data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "544bb63b-c312-4faf-bed3-cdbf4b33a512",
   "metadata": {},
   "source": [
    "## Preparing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6cd03d75-9ad6-4c82-b0c9-7aa09af420a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d57e84b7-e393-41a6-9d61-f7393f756807",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3b70e7ab-d293-4317-8428-2e4987e61fac",
   "metadata": {},
   "outputs": [],
   "source": [
    "conn = psycopg2.connect('dbname=wm-22-precip-DB user=postgres password=postgres host=localhost')\n",
    "cur = conn.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "693549d5-c324-4b77-923c-b38acde29396",
   "metadata": {},
   "outputs": [],
   "source": [
    "sql_colnms = \"\"\"SELECT column_name\n",
    "FROM INFORMATION_SCHEMA.COLUMNS\n",
    "WHERE TABLE_NAME = N'prepMa'\"\"\"\n",
    "\n",
    "sql_prepMa = '''SELECT * FROM \"prepMa\"'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ddbf5ad7-e790-4da0-8c2d-d6243c65087b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ayoub/miniconda3/envs/ml/lib/python3.10/site-packages/pandas/io/sql.py:758: UserWarning: pandas only support SQLAlchemy connectable(engine/connection) ordatabase string URI or sqlite3 DBAPI2 connectionother DBAPI2 objects are not tested, please consider using SQLAlchemy\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "d = pd.read_sql_query(sql_prepMa,conn)\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6d1f75d6-00e6-4cda-a4b8-ca0fa41c52f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "mapIdMap = dict(zip(d['name'], d['fid']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "697a7b35-838c-4226-b5c6-c46e2eacdbd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = d.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9e6d4781-a972-49df-8925-967ea26843be",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>1532</th>\n",
       "      <th>1533</th>\n",
       "      <th>1534</th>\n",
       "      <th>1535</th>\n",
       "      <th>1536</th>\n",
       "      <th>1537</th>\n",
       "      <th>1538</th>\n",
       "      <th>1539</th>\n",
       "      <th>1540</th>\n",
       "      <th>1541</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>5.139662</td>\n",
       "      <td>5.185174</td>\n",
       "      <td>12.736306</td>\n",
       "      <td>7.222152</td>\n",
       "      <td>8.277916</td>\n",
       "      <td>10.003084</td>\n",
       "      <td>3.690965</td>\n",
       "      <td>4.015777</td>\n",
       "      <td>3.724388</td>\n",
       "      <td>3.973375</td>\n",
       "      <td>...</td>\n",
       "      <td>80.943738</td>\n",
       "      <td>53.279457</td>\n",
       "      <td>58.557885</td>\n",
       "      <td>42.157584</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>39.338377</td>\n",
       "      <td>40.711483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>2.320398</td>\n",
       "      <td>2.510182</td>\n",
       "      <td>7.483267</td>\n",
       "      <td>3.029178</td>\n",
       "      <td>3.857246</td>\n",
       "      <td>4.342615</td>\n",
       "      <td>2.725529</td>\n",
       "      <td>1.264757</td>\n",
       "      <td>2.803877</td>\n",
       "      <td>1.386363</td>\n",
       "      <td>...</td>\n",
       "      <td>1.866421</td>\n",
       "      <td>1.128736</td>\n",
       "      <td>1.365121</td>\n",
       "      <td>0.964586</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.922023</td>\n",
       "      <td>1.099783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>1.026504</td>\n",
       "      <td>0.911228</td>\n",
       "      <td>4.644095</td>\n",
       "      <td>0.968059</td>\n",
       "      <td>2.144454</td>\n",
       "      <td>1.894135</td>\n",
       "      <td>1.811047</td>\n",
       "      <td>1.650475</td>\n",
       "      <td>1.805033</td>\n",
       "      <td>0.908379</td>\n",
       "      <td>...</td>\n",
       "      <td>28.641492</td>\n",
       "      <td>19.283579</td>\n",
       "      <td>24.587897</td>\n",
       "      <td>5.983350</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.350355</td>\n",
       "      <td>3.502182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>0.994122</td>\n",
       "      <td>0.929610</td>\n",
       "      <td>3.478880</td>\n",
       "      <td>0.909780</td>\n",
       "      <td>1.619741</td>\n",
       "      <td>1.273522</td>\n",
       "      <td>1.302462</td>\n",
       "      <td>0.677425</td>\n",
       "      <td>1.902222</td>\n",
       "      <td>0.860408</td>\n",
       "      <td>...</td>\n",
       "      <td>95.467146</td>\n",
       "      <td>113.049248</td>\n",
       "      <td>108.450883</td>\n",
       "      <td>72.007683</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>70.999270</td>\n",
       "      <td>56.441982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.749234</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010291</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.974401</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.984279</td>\n",
       "      <td>...</td>\n",
       "      <td>46.760845</td>\n",
       "      <td>48.911781</td>\n",
       "      <td>53.525117</td>\n",
       "      <td>21.432269</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>21.880218</td>\n",
       "      <td>18.199196</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1542 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                0         1          2         3         4          5     \\\n",
       "2000-01-01  5.139662  5.185174  12.736306  7.222152  8.277916  10.003084   \n",
       "2000-02-01  2.320398  2.510182   7.483267  3.029178  3.857246   4.342615   \n",
       "2000-03-01  1.026504  0.911228   4.644095  0.968059  2.144454   1.894135   \n",
       "2000-04-01  0.994122  0.929610   3.478880  0.909780  1.619741   1.273522   \n",
       "2000-05-01  0.000000  0.000000   0.749234  0.000000  0.010291   0.000000   \n",
       "\n",
       "                6         7         8         9     ...       1532  \\\n",
       "2000-01-01  3.690965  4.015777  3.724388  3.973375  ...  80.943738   \n",
       "2000-02-01  2.725529  1.264757  2.803877  1.386363  ...   1.866421   \n",
       "2000-03-01  1.811047  1.650475  1.805033  0.908379  ...  28.641492   \n",
       "2000-04-01  1.302462  0.677425  1.902222  0.860408  ...  95.467146   \n",
       "2000-05-01  0.000000  0.974401  0.000000  0.984279  ...  46.760845   \n",
       "\n",
       "                  1533        1534       1535       1536       1537  \\\n",
       "2000-01-01   53.279457   58.557885  42.157584  37.573582  37.573582   \n",
       "2000-02-01    1.128736    1.365121   0.964586   0.890602   0.890602   \n",
       "2000-03-01   19.283579   24.587897   5.983350   6.307444   6.307444   \n",
       "2000-04-01  113.049248  108.450883  72.007683  69.569077  69.569077   \n",
       "2000-05-01   48.911781   53.525117  21.432269  22.532732  22.532732   \n",
       "\n",
       "                 1538       1539       1540       1541  \n",
       "2000-01-01  37.573582  37.573582  39.338377  40.711483  \n",
       "2000-02-01   0.890602   0.890602   0.922023   1.099783  \n",
       "2000-03-01   6.307444   6.307444   6.350355   3.502182  \n",
       "2000-04-01  69.569077  69.569077  70.999270  56.441982  \n",
       "2000-05-01  22.532732  22.532732  21.880218  18.199196  \n",
       "\n",
       "[5 rows x 1542 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index(['id'])\n",
    "df.drop(columns=['objectid', 'geom', 'fid', 'name', 'id'], inplace=True)\n",
    "df_ = df.T\n",
    "df_.index = pd.to_datetime([f'{i[:7]}' for i in df_.index])\n",
    "df_.sort_index(inplace=True)\n",
    "df_.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4c08f418-ab75-4c5b-9018-8b174fb60c00",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_.to_csv('precipCommunesTS.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e29906b6-387a-453f-9113-da642a11c581",
   "metadata": {},
   "source": [
    "Link to this ~cleaned dataset : [🔗](https://drive.google.com/file/d/1E34cl3U9q_U5NC96G3l8uGWorlRwqfTQ/view?usp=sharing)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9493ee96-bea7-47ba-99c6-7df2c7a0642e",
   "metadata": {},
   "source": [
    "## EDA precipitation of Khouribga commune"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c8deda4c-3587-4fbf-b736-5b42c13d1f62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "332"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapIdMap['Khouribga']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "62334f85-9db3-4b14-8c25-25fe971dba9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_kh = pd.DataFrame(df_[332])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ca2fdd5c-8674-4648-9acf-c648a6e9b3e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_kh.rename(columns={332: \"precipKhouribga\"}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2b5f0c15-1bae-4536-85d4-46a7ba7bbeab",
   "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>precipKhouribga</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>13.872842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>7.474373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>2.075285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>38.477597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>7.025321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            precipKhouribga\n",
       "2000-01-01        13.872842\n",
       "2000-02-01         7.474373\n",
       "2000-03-01         2.075285\n",
       "2000-04-01        38.477597\n",
       "2000-05-01         7.025321"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f43a75e7-a7f2-4160-8d44-aa7444ec9abb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_kh.drop('2019-12-01', inplace=True) #deleted one entry of 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b8d08056-a6a4-46bb-9b70-8f4e27a72789",
   "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>precipKhouribga</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>6.111350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>4.688000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>34.422764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-01</th>\n",
       "      <td>43.916373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-01</th>\n",
       "      <td>13.955878</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            precipKhouribga\n",
       "2018-08-01         6.111350\n",
       "2018-09-01         4.688000\n",
       "2018-10-01        34.422764\n",
       "2018-11-01        43.916373\n",
       "2018-12-01        13.955878"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kh.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "067c9b29-79c8-46a6-b4ed-02e4b4be27f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "849f6464-9a01-4c91-8f1b-7d95a3c14488",
   "metadata": {},
   "source": [
    "### Plotting the variation of precipitation in Khouribga commune over the years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2c982873-066a-43d8-b73c-e0c137595e43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2088x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_kh.plot(marker='.', figsize=(29,5));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b56d71b5-d32a-4f42-b93e-232340f95fab",
   "metadata": {},
   "source": [
    "#### Stationarity test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2418df14-fc8c-40a0-81b6-f76a10a97119",
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.stattools import adfuller"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "be792e8f-f88f-4648-9570-e7b9f04b035c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data stationary, pvalue = 0.004325484203942917\n"
     ]
    }
   ],
   "source": [
    "adf, pvalue, usedlag_, nobs_, critical_values_, icbest_ = adfuller(df_kh)\n",
    "\n",
    "if pvalue < 0.05:\n",
    "    print(f\"Data stationary, pvalue = {pvalue}\")\n",
    "else:\n",
    "    print(f\"Data NOT stationary, pvalue = {pvalue}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7849a44c-e46c-4253-a8f7-ce1e2ec7fe4c",
   "metadata": {},
   "source": [
    "Creating columns containing year and month to see if there is any trends with respect to years and months."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f68c6ad5-c219-464e-85b8-4755bd769c69",
   "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>precipKhouribga</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>13.872842</td>\n",
       "      <td>2000</td>\n",
       "      <td>Jan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>7.474373</td>\n",
       "      <td>2000</td>\n",
       "      <td>Feb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>2.075285</td>\n",
       "      <td>2000</td>\n",
       "      <td>Mar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>38.477597</td>\n",
       "      <td>2000</td>\n",
       "      <td>Apr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>7.025321</td>\n",
       "      <td>2000</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            precipKhouribga  year month\n",
       "2000-01-01        13.872842  2000   Jan\n",
       "2000-02-01         7.474373  2000   Feb\n",
       "2000-03-01         2.075285  2000   Mar\n",
       "2000-04-01        38.477597  2000   Apr\n",
       "2000-05-01         7.025321  2000   May"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kh['year'] = [d.year for d in df_kh.index]\n",
    "df_kh['month'] = [d.strftime('%b') for d in df_kh.index]\n",
    "df_kh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b2f2bacf-934e-4116-8f26-a67a177f7fea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABbAAAAFCCAYAAAAgzfu6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAABG3ElEQVR4nO3de3wU9b3/8fdm13ARsruJBILlorZq7EX7gMpPlCDBQusJJrEomopKRdp6sFRrNUUOIMTaSCv6KFGkeujRUjwHLUFCLSgBsoI3Wm1rg9BCCAiBkM1uwk1wk/n9EYlSIWw2szN7eT0fDx8ks5n5fubj7Ox3P/Od7zgMwzAEAAAAAAAAAECMSbE7AAAAAAAAAAAAToUCNgAAAAAAAAAgJlHABgAAAAAAAADEJArYAAAAAAAAAICYRAEbAAAAAAAAABCTKGADAAAAAAAAAGISBWwAAAAAAAAAQExy2R1AtAUCh9XaatgdBgAAAAAAAADgFFJSHPJ6zz7lawlfwG5tNShgAwAAAAAAAEAcYgoRAAAAAAAAAEBMooANAAAAAAAAAIhJFLABAAAAAAAAADHJkgJ2aWmpcnNzddFFF2nbtm3ty48dO6ZZs2ZpzJgxGjdunP7rv/6r/bWamhpNmDBBY8eO1YQJE7Rz504rQgUAAAAAAAAAxAhLHuI4evRo3Xrrrfrud7970vJ58+apW7duWr16tRwOhxoaGtpfmzVrloqKipSfn68VK1Zo5syZeu6556wIFwAAAAAAAAAQAywZgT106FBlZWWdtOzw4cMqLy/XtGnT5HA4JEnnnHOOJMnv96u6ulp5eXmSpLy8PFVXV6uxsdGKcAEAAAAAAEwRCARUUjJTwWDA7lAAIC5ZMgL7VHbv3i2Px6MFCxborbfe0tlnn61p06Zp6NChqqurU9++feV0OiVJTqdTmZmZqqurU3p6eqfaycjoFY3wAQAAAAAAzuiFF36rrVu36E9/WqG7777b7nAAIO7YVsAOhULavXu3LrnkEj3wwAP661//qh/84Ad69dVXTW3H7z+k1lbD1G0CAAAAAACcSSAQ0OrVq2UYhlavXqNvfStfHo/X7rAAIOakpDhOOxDZkilETqV///5yuVzt04Rceuml8nq9qqmpUVZWlvbv36+WlhZJUktLi+rr6z83DQkAAAAAAECsKi9fJsNoG1RnGK1avvxFmyMCgPhjWwE7PT1dw4YN08aNGyVJNTU18vv9GjRokDIyMpSdna2KigpJUkVFhbKzszs9fQgAAAAAAIBdNm3yKRQKSWq7E33TpiqbIwKA+OMwTlwKjKKSkhKtWbNGDQ0N8nq98ng8WrVqlXbv3q3p06crGAzK5XLpxz/+sUaOHClJ2r59u4qLi9Xc3Ky0tDSVlpbq/PPP73TbTCECAAAAAADssHjxIm3YUKlQKCSXy6WRI0dr0qQ77Q4LAGJOR1OIWFLAthMFbAAAAAAAYIdAIKB7771LH3/8sc46K1Xz55cxBzYAnEJMzoENAAAAAACQyLxer3JyRsnhcCgnZxTFawCIgMvuAAAAAAAAABJVQcEN2rPnQxUWjrc7FACIS0whAgAAAAAAAACwDVOIAAAAAAAAAADiDgVsAAAAAAAAAEBMooANAAAAAAAAAIhJFLABAAAAAAAAADGJAjYAAAAAAAAAICZRwAYAAAAAAAAAxCQK2AAAAAAAAACAmEQBGwAAAAAAAAAQkyhgAwAAAAAAAABiEgVsAAAAAAAAAEBMooANAAAAAAAAAIhJFLABAAAAAAAAADGJAjYAAAAAAAAAICZRwAYAAAAAAAAAxCQK2AAAAAAAAACAmEQBGwAAAAAAAAAQkyhgAwAAAAAAAABiEgVsAAAAAAAAAEBMooANAAAAAAAAAIhJlhSwS0tLlZubq4suukjbtm373OsLFiz43Gs1NTWaMGGCxo4dqwkTJmjnzp1WhAoAAAAAAAAAiBGWFLBHjx6tJUuW6Nxzz/3ca//4xz/03nvvqX///ictnzVrloqKirR69WoVFRVp5syZVoQKAAAAAAAAAIgRlhSwhw4dqqysrM8tP378uObMmaNZs2bJ4XC0L/f7/aqurlZeXp4kKS8vT9XV1WpsbLQiXAAAAAAAAABADLB1DuwnnnhC1113nQYMGHDS8rq6OvXt21dOp1OS5HQ6lZmZqbq6OjvCBAAAAAAAAADYwGVXw++++67+/ve/67777otqOxkZvaK6fQAAAAAAAABAdNhWwH7nnXe0Y8cOjR49WpK0b98+3XHHHXrkkUeUnZ2t/fv3q6WlRU6nUy0tLaqvrz/lNCRn4vcfUmurYXb4AAAAAAAAAAATpKQ4TjsQ2bYC9pQpUzRlypT233Nzc7Vw4UJdeOGFkqTs7GxVVFQoPz9fFRUVys7OVnp6ul3hAgAAAAAAAAAsZkkBu6SkRGvWrFFDQ4MmTZokj8ejVatWdbjO7NmzVVxcrCeffFJpaWkqLS21IlQAAAAAAAAAQIxwGIaR0PNrMIUIAAAAAAAAAMSujqYQSbE4FgAAAAAAAAAAwkIBG4gzgUBAJSUzFQwG7A4FAAAAAAAAiCoK2ECcKS9fpq1bt2j58hftDgUAAAAAAACIKgrYQBwJBAKqqlonwzBUVbWOUdgAAAAAAABIaBSwgThSXr5MJ567ahitjMIGAAAAAABAQqOADcSRTZt8CoVCkqRQKKRNm6psjggAAAAAAACIHgrYQBwZPnyEXC6XJMnlcmn48BybIwIAAAAAAACihwI2EEcKCm6Qw+GQJDkcKSosHG9zRAAAAAAAAED0UMAG4ojX61VOzig5HA7l5IySx+O1OyQAAAAAAAAgalx2BwCgcwoKbtCePR8y+hoAAAAAAAAJz2EYhmF3ENHk9x9Sa2tC7yIAAAAAAAAAxK2UFIcyMnqd+jWLYwEAAAAAAAAAICwUsAEAAAAAAAAAMYkCNgAAAAAAAAAgJlHABgAAAAAAAADEJArYAAAAAAAAAICYRAEbAAAAAAAAABCTKGADAAAAAAAAAGISBWwAAAAAAAAAQEyigA0AAAAAAAAAiEkUsAEAAAAAAAAAMYkCNgAAAAAAAAAgJlHABgAAAAAAAADEJEsK2KWlpcrNzdVFF12kbdu2SZICgYDuvPNOjR07VuPGjdPUqVPV2NjYvk5NTY0mTJigsWPHasKECdq5c6cVoQIAAAAAAAAAYoQlBezRo0dryZIlOvfcc9uXORwOTZ48WatXr9bKlSs1YMAA/fKXv2x/fdasWSoqKtLq1atVVFSkmTNnWhEqAAAAAAAAACBGWFLAHjp0qLKysk5a5vF4NGzYsPbfL7vsMu3du1eS5Pf7VV1drby8PElSXl6eqqurTxqhDQAAAAAAAABIbC67A5Ck1tZWLV26VLm5uZKkuro69e3bV06nU5LkdDqVmZmpuro6paend2rbGRm9TI8XAAAAAAAAABB9MVHAnjt3rnr27KlbbrnF9G37/YfU2mqYvl0AAAAAAAAAQNelpDhOOxDZ9gJ2aWmpamtrtXDhQqWktM1okpWVpf3796ulpUVOp1MtLS2qr6//3DQkAAAAAAAAAIDEZckc2Kczf/58vf/++yorK1Nqamr78oyMDGVnZ6uiokKSVFFRoezs7E5PHwIAAAAAAAAAiF8OwzCiPr9GSUmJ1qxZo4aGBnm9Xnk8Hj3++OPKy8vT4MGD1b17d0nSF77wBZWVlUmStm/fruLiYjU3NystLU2lpaU6//zzO902U4gAAAAAAAAAQOzqaAoRSwrYdqKADQAAAAAAAACxq6MCtq1TiAAAAAAAAAAAcDoUsAEAAAAAAAAAMYkCNgAAAAAAAAAgJlHABgAAAAAAAADEJArYAAAAAAAAAICYRAEbAAAAAAAAABCTKGADAAAAAAAAAGISBWwAAAAAAAAAQEyigA0AAAAAAAAAiEkUsAEAAAAAAAAAMYkCNgAAAAAAAAAgJlHABgAAAAAAAADEJFdn/njLli3avHmzAoGADMNoXz5t2jTTAwMAAAAAAAAAJLewR2D/7//+r26++Wa9+eab+s1vfqNt27Zp8eLF2rVrVzTjAwAAAAAAAAAkqbAL2M8884yeeeYZlZWVqXv37iorK9MTTzwhl6tTg7gBAAAAAAAAAAhL2AVsv9+voUOHtq2UkqLW1laNHDlS69ati1pwAAAAAD4VCARUUjJTwWDA7lAAAAAAS4RdwO7Xr58+/PBDSdLgwYO1du1abd68WWeddVbUggMAAADwqfLyZdq6dYuWL3/R7lAAAAAAS4RdwJ48ebK2b98uSbrrrrv005/+VLfddpv+8z//M2rBAQAAAGgTCARUVbVOhmGoqmodo7ABAACQFByGYRiRrHj8+HF9/PHHOvvss82OyVR+/yG1tka0iwAAAEDMWLx4kTZsqFQoFJLL5dLIkaM1adKddocFAAAAdFlKikMZGb1O/Vq4G2ltbT3pP5fLpR49epgWJAAAAIDT27TJp1AoJEkKhULatKnK5ogAAACA6HOF+4eXXHKJHA7H55Y7nU5lZmZqzJgxuvvuu2N+RDYAAAAQj4YPH3HSCOzhw3PsDgkAAACIurCnEFmyZIlee+01TZkyRf369VNdXZ2eeeYZjRw5Uuedd57Kysr0xS9+UQ8//HC0Y+4UphABAABAIggEArr33rv08ccf66yzUjV/fpk8Hq/dYQEAAABd1tEUImGPwF68eLGWL1+u3r17S5LOO+88feUrX9H111+v1157TRdddJGuv/76U65bWlqq1atXa8+ePVq5cqUuvPBCSVJNTY2Ki4sVDAbl8XhUWlqqwYMHn/E1AAAAINl4vV7l5IxSZeWryskZRfEaAAAASSHsObAPHTqko0ePnrTs6NGjOnjwoCTpnHPO0UcffXTKdUePHq0lS5bo3HPPPWn5rFmzVFRUpNWrV6uoqEgzZ84M6zUAAAAgGRUU3KCLLspWYeF4u0MBAAAALBF2AbugoEDf+9739H//93+qqqrSsmXLNHnyZBUWFkqSXn/9dZ133nmnXHfo0KHKyso6aZnf71d1dbXy8vIkSXl5eaqurlZjY2OHrwEAAADJyuv1asaMOYy+BgAAQNIIewqR+++/X4MGDdKqVatUX1+vPn36qKioSDfeeKMk6f/9v/+nYcOGhd1wXV2d+vbtK6fTKenTh0HW1dXJMIzTvpaent6Z/Tvt3CkAAAAAAAAAgNgWdgE7JSVFN998s26++eZTvt6tWzfTgjITD3EEAAAAAAAAgNhlykMcJenFF19sH4GdmZmpa6+9VuPHj5fD4eh0UFlZWdq/f79aWlrkdDrV0tKi+vp6ZWVlyTCM074GAAAAAAAAAEgOYc+B/eijj+o3v/mNvvnNb+r+++/XN7/5Tf33f/+35s2bF1HDGRkZys7OVkVFhSSpoqJC2dnZSk9P7/A1AAAAAAAAAEBycBiGEdb8GldccYWWL1+ufv36tS+rq6tTYWGh3nzzzQ7XLSkp0Zo1a9TQ0CCv1yuPx6NVq1Zp+/btKi4uVnNzs9LS0lRaWqrzzz9fkjp8rTOYQgQAAACJIhAIqKxsvqZOvYcHOQIAACBhdDSFSNgF7GuuuUbLly9X796925c1Nzfr+uuv12uvvWZOpFFAARsAAACJYvHiRaqsfFW5uWM0adKddocDAAAAmKKjAnaHU4js3r27/b/bbrtNU6dO1caNG7V9+3a9/vrrmjZtmm6//fZoxAwAAADgMwKBgKqq1skwDFVVrVMwGLA7JAAAACDqOhyBffHFF8vhcKijQdoOh0NbtmyJSnBmYAQ2AAAAEsHixYu0YUOlQqGQXC6XRo4czShsAAAAJARTphCJVxSwAQAAkAjuvHOijh492v57jx499JvfPG9jRAAAAIA5Ip5CBAAAAEBsGD58hFwulyTJ5XJp+PAcmyMCAAAAos/V0Yt33HGHnn32WUlSUVGRHA7HKf9uyZIl5kcGAAAAoF1BwQ2qqlonSXI4UlRYON7miBDPAoGAysrma+rUe+TxeO0OBwAA4LQ6LGAXFBS0/3zDDTdEOxYAAAAAp+H1epWTM0qVla8qJ2cURUd0SXn5Mm3dukXLl7/IXOoAACCmdVjAHjdunCSppaVFu3bt0g9/+EOlpqZaEhgAAACAkxUU3KA9ez5k9DW6JBAIqKpqnQzDUFXVOhUWjueCCAAAiFlhzYHtdDr1+9//vn3OPQAAAADW83q9mjFjDsVGdEl5+TIZRtuD7g2jVcuXv2hzRAAAAKcXdkW6oKBAS5cu1Xe/+91oxgMkDZ9vvTZsqOz0ek1NQUmS2+2JqN2RI3M1YsTVEa0LAACA+Ldpk0+hUEiSFAqFtGlTFdOIAACAmBV2Aftvf/ubfve73+nZZ59Vv379TnqgIw9xBKwTDAYlRV7ABgAAQHIbPnyENmyoVCgUksvl0vDhOXaHBAAAcFoO48S9Y2ewfPny075WWFhoWkBm8/sPqbU1rF0E4kJJyUxJ0owZc2yOBAAAAPEoEAjo3nvv0scff6yzzkrV/PllTEsDAABslZLiUEZGr1O+FvYI7FguUgMAAAAAwuP1epWTM0qVla8qJ2cUxWsAABDTwi5gv/ji6R/sMX48T0EHAAAAgHhRUHCD9uz5UIWFfJcDAACxLewC9ooVK076vaGhQbt379bXv/51CtgAAAAAEEe8Xi9T0gEAgLgQdgH7+eef/9yyF198Udu3bzc1IAAAAAAAAAAAJCmlKytff/31eumll8yKBQAAAAAAAACAdmGPwG5tbT3p96NHj+rll19W7969TQ8KAAAAAAAAAICwC9iXXHKJHA7HScv69u2ruXPnmh4UAAAAAAAAAABhF7DXrl170u89evRQenq66QEBAAAAAAAAACB1Yg7sc889V+eee64cDofq6+t17NixaMYFAAAAAAAAAEhyYY/Arq+v17333qv33ntPHo9HwWBQl156qR577DH17ds3mjECAAAAAAAAAJJQ2COwZ8+erYsvvlhvv/22Xn/9db399tvKzs7WrFmzohkfAAAAAAAAACBJhV3A/vOf/6wHHnhAPXv2lCT17NlT999/v959990uB7Fu3ToVFBQoPz9f48aN05o1ayRJNTU1mjBhgsaOHasJEyZo586dXW4LAAAAAAAAABAfwp5CxO12a/v27br44ovbl+3YsUNpaWldCsAwDN1///1asmSJLrzwQn3wwQe6+eabdc0112jWrFkqKipSfn6+VqxYoZkzZ+q5557rUnsAAAAAYp/Pt14bNlRGtG5TU1CS5HZ7Or3uyJG5GjHi6ojaBQAAgPnCLmBPnjxZt99+u8aPH6/+/ftr7969+sMf/qBp06Z1OYiUlBQdPHhQknTw4EFlZmYqEAiourpaixcvliTl5eVp7ty5amxsVHp6epfbBAAAAJCYgsGgpMgK2AAAAIgtYRewb7zxRg0YMEAVFRXaunWrMjMz9atf/UpXXHFFlwJwOBx6/PHHddddd6lnz546fPiwnn76adXV1alv375yOp2SJKfTqczMTNXV1XWqgJ2R0atL8QGxJjW17W3bp09vmyMBAACInuuvH6frrx8X0bo//elPJUnz5s0zMyQAAADYIOwCtiRdccUVXS5Y/7tQKKSnn35aTz75pIYMGaI///nPuueee/Too4+asn2//5BaWw1TtgXEguPHQ5KkAwcO2hwJAABAbKK/BAAAEF9SUhynHYgcdgH7+PHjWr58ubZs2aIjR46c9FpXis1btmxRfX29hgwZIkkaMmSIevTooW7dumn//v1qaWmR0+lUS0uL6uvrlZWVFXFbAAAAAAAAAID4kRLuHxYXF+t//ud/dPbZZ2vgwIEn/dcV/fr10759+7Rjxw5J0vbt29XQ0KBBgwYpOztbFRUVkqSKigplZ2cz/zUAAAAAAAAAJImwR2D7fD6tXbtWaWlppgbQp08fzZ49W9OmTZPD4ZAkPfLII/J4PJo9e7aKi4v15JNPKi0tTaWlpaa2DQAAAAAAAACIXWEXsLOysnT8+PGoBHHdddfpuuuu+9zyCy64QMuWLYtKmwAAwByBQEBlZfM1deo98ni8docDAAAAAEggHRaw33jjjfafCwoKdNddd+nWW29VRkbGSX9n9oMdAQBA/CgvX6atW7do+fIXNWnSnXaHAwAAAABIIB0WsB988MHPLXvsscdO+t3hcGjt2rXmRgUAAOJCIBBQVdU6GYahqqp1KiwczyhsAAAAAIBpOixgV1ZWnnEDx44dMy0YAAAQX8rLl8kwDEmSYbQyChsAAAAAYKqUM/3Bb3/729O+9tFHH+n73/++mfEAAIA4smmTT6FQSJIUCoW0aVOVzREBAAAAABLJGQvYzzzzjH7/+99/bvmhQ4f0ve99TykpZ9wEAABIUMOHj5DL1XZDl8vl0vDhOTZHBAAAAABIJGesPi9evFgLFizQSy+91L7s4MGDmjRpknr16qWFCxdGNUAAABC7CgpukMPhkCQ5HCkqLBxvc0QAAAAAgERyxgL2l770JT377LOaN2+eVq5cqWAwqFtvvVV9+vRRWVmZUlNTrYgTAADEIK/Xq5ycUXI4HMrJGcUDHAEAAAAApurwIY4nZGdna9GiRbrzzjvVu3dvffWrX9Uvf/lLOZ3OaMcHAABiXEHBDdqz50NGXwMAAAAATHfGAvYTTzzR/vNXvvIVvffeexo4cKAWLFjQvnzatGnRiQ4AAMQ8r9erGTPm2B0GAAAAACABnbGAvW/fvvafMzMzNWbMGNXX10c1KCSvQCCgsrL5mjr1Hm5DBwAAAAAAAJLcGQvYjzzyiBVxAJKk8vJl2rp1i5Yvf1GTJt1pdzgAAAAAAAAAbBTWHNgn7Ny5U6+88orq6+uVmZmpb3/72xo8eHCUQkOyCQQCqqpaJ8MwVFW1ToWF4xmFDQAAAAAAACSxlHD/cOXKlSosLNTWrVvVo0cPbdu2TYWFhVq5cmU040MSKS9fJsMwJEmG0arly1+0OSIAAAAAAAAAdgp7BPbjjz+uRYsW6Rvf+Eb7ss2bN+v+++/XuHHjohIcksumTT6FQiFJUigU0qZNVUwjAgAAAAAAACSxsEdgHz58WJdddtlJyy699FIdOXLE7JiQpIYPHyGXq+2aisvl0vDhOTZHBAAAAAAAAMBOYRewJ02apMcee0zHjh2TJH300UeaP3++Jk2aFLXgkFwKCm6Qw+GQJDkcKSosHG9zRAAAAAAAAADsFPYUIr///e/V0NCg559/XmlpaWpubpZhGOrTp4+WLl3a/nfr16+PRpxIAl6vVzk5o1RZ+apyckbxAEcAAAAAAAAgyYVdwJ43b1404wAktY3C3rPnQ0ZfAwAAAAAAAAi/gH355ZdHM46EFwgEVFY2X1On3sPI4g54vV7NmDHH7jAAAAAAAAAAxIAOC9hPPfWUfvjDH0qSnnjiidP+3bRp08yNKgGVly/T1q1btHz5i5o06U67wwEAAAAAAACAmNdhAXvfvn2n/BmdEwgEVFW1ToZhqKpqnQoLxzMKGwAAAAAAAADOoMMC9kMPPdT+8yOPPBL1YBJVefkyGYYhSTKMVkZhAwAAAAAAAEAYwp4Du7y8XBdffLEuvvji9mUffPCBPvjgAxUUFHQpiGPHjunnP/+53njjDXXr1k2XXXaZ5s6dq5qaGhUXFysYDMrj8ai0tFSDBw/uUlt22LTJp1AoJEkKhULatKmKAjYAWMjnW68NGyojWrepKShJcrs9nV535MhcjRhxdUTtAgAAAAAAKSXcP3ziiSeUlZV10rJ+/fp1ODd2uObNm6du3bpp9erVWrlyZfuc2rNmzVJRUZFWr16toqIizZw5s8tt2WH48BFyudquFbhcLg0fnmNzRACAcAWDQQWDQbvDAAAAAAAgKYU9AvvQoUPq1avXSct69+6t5ubmLgVw+PBhlZeXa8OGDXI4HJKkc845R36/X9XV1Vq8eLEkKS8vT3PnzlVjY6PS09O71KbVCgpuUFXVOkmSw5GiwsLxNkcEAMllxIirIx4JXVLSdvF0xow5JkYEAAAAAADCEfYI7AsuuECrV68+admrr76qCy64oEsB7N69Wx6PRwsWLND111+viRMnavPmzaqrq1Pfvn3ldDolSU6nU5mZmaqrq+tSe3bwer3KyRklh8OhnJxRPMARAAAAAAAAAMIQ9gjs++67T1OmTNErr7yiAQMGaNeuXXrjjTe0aNGiLgUQCoW0e/duXXLJJXrggQf017/+VT/4wQ9MmZpEkjIyep35jyxwxx23q76+TpMn36709N52h4M4lpra9rbt04fjCLAC7zkAiD+cuwEAABJH2AXsoUOHqqKiQhUVFaqrq9PXvvY1Pfjgg5+bF7uz+vfvL5fLpby8PEnSpZdeKq/Xq+7du2v//v1qaWmR0+lUS0uL6uvrO92e339Ira1Gl2I0R6oeeGCWWlqkAwcO2h0M4tjx420PBOU4AqzBew4A4g/nbgAAgPiSkuI47UDksAvYUluxefLkyWpoaFBmZqYpwaWnp2vYsGHauHGjrrrqKtXU1Mjv92vw4MHKzs5WRUWF8vPzVVFRoezs7Lib/xoAAAAAAAAAEJmwC9jNzc166KGHtHr1arlcLr333ntau3at/va3v+mee+7pUhAPPfSQpk+frtLSUrlcLj366KNKS0vT7NmzVVxcrCeffFJpaWkqLS3tUjsAAAAAAAAAgPgRdgF71qxZSktLU2Vlpf7jP/5DkvT1r39dpaWlXS5gDxgwQM8///znll9wwQVatmxZl7YNAAAAAAAAAIhPYRew33jjDfl8Pp111llyOByS2qb/8Pv9UQsOAAAAAICu8PnWa8OGyk6v19QUlCS53Z6I2h05MlcjRlwd0boAAOBTKeH+Ye/evRUIBE5atnfvXvXp08f0oAAAAAAAsFMwGFQwGLQ7DAAAkl7YI7BvuOEG/ehHP9KPf/xjtba26t1339Vjjz2mm266KZrxAQAAAABOweeLbGSxlFyji0eMuDqiWEtKZkqSZsyYY3JEAACgM8IuYN95551KTU3VnDlzFAqFNH36dE2YMEG33XZbNOMDAAAAAJjsxMjiSAvYAAAAVgmrgN3S0qLp06dr7ty5uv3226McEgAAAADgTCIdWSwxuhgAAMSPsArYTqdTGzdubH94IwBYweez57bYeLolFgAAAAAAIJGF/RDH2267Tb/+9a91/PjxaMYDAKbgoTsAAAAAAADxL+w5sH/3u9+poaFBixcvVnp6uhwOhwzDkMPh0Pr166MYIoBkxW2xAAAAAAAAyS3sAva8efOiGQcQl55/frFqa2ssbbO2dqekTwu0Vho06DxNnDjJ8nYBAAAAAACQnMIuYF922WV66qmntGrVKtXX1yszM1PXXnutfvjDH0YzPiCm1dbWaOe/qnWu27r54Xs7DUnSxwe2WNamJO1pMixtDwAAAAAAAAi7gD179mzV1NTowQcf1Lnnnqs9e/Zo0aJF2r9/vx555JFoxgjEtHPdDv3nVal2hxF1Za8z/z0AAAAAAACsFXYBe+3atXr11VeVlpYmSfriF7+oSy+9VGPGjIlacAAAAAAAAACA5JUS7h+ec845Onr06EnLjh07pj59+pgeFAAAAAAAAAAAYY/Azs/P1+TJkzVx4kT17dtX+/bt05IlS5Sfn6833nij/e+uuOKKqAQKAAAAJAqfb702bKjs9HpNTUFJktvtiajdkSNzNWLE1RGtCwAAANgh7AL2Cy+8IElauHDh55afeM3hcGjt2rUmhgcAAADghGAwKCnyAjYAAAAQb8IuYFdWdn6ECAAAAIDPGzHi6ohGQpeUzJQkzZgxx+SIAAAAgNgU9hzYAAAAAAAAAABYiQI2AAAAAAAAACAmUcAGAAAAAAAAAMSksOfABgAAAAAAAADYz+dbrw0bIntmYVNTUFLkDwYfOTI3oue5RIoCNgAAAAAAAAAkiWAwKCnyArbVKGADAAAAAAAAMS4QCKisbL6mTr1HHo/X7nBgsxEjro54FHRJyUxJ0owZc0yMKHooYANAHPP5kueWIQBA/Hn++cWqra2xvN3a2p2SPv1yZpVBg87TxImTLG0TAJA8ysuXaevWLVq+/EVNmnSn3eEAlompAvaCBQv061//WitXrtSFF16ompoaFRcXKxgMyuPxqLS0VIMHD7Y7TABICPF2yxAAIP7U1tbogx3/kiM9w9J2jdSzJElbgwHr2mz0W9YWACD5BAIBVVWtk2EYqqpap8LC8YzCRtKImQL2P/7xD7333nvq379/+7JZs2apqKhI+fn5WrFihWbOnKnnnnvOxigjx20eAKIhmW4ZAgDEJ0d6hlx5eXaHEXWhigq7QwAAJLDy8mUyDEOSZBitjMJGUkmxOwBJOn78uObMmaNZs2bJ4XBIkvx+v6qrq5X3SWc3Ly9P1dXVamxstDPUiH32Ng8AAAAAAAAgXJs2+RQKhSRJoVBImzZV2RwRYJ2YGIH9xBNP6LrrrtOAAQPal9XV1alv375yOp2SJKfTqczMTNXV1Sk9PT3sbWdk9DI93s7y+/3y+dbLMAz5fOs0efLtndoHxK7UVJc+tjsIC6WmutSnT2+7wwhLamrb6S1e4rUDOQoPeQI659VXX9WaNWsiWvfEQIVI+kljxozRN7/5zYjajSfxdk46EW+yoK+UWMgRgFgyevRo/elPf1IoFJLL5dLo0aM5PyFi8fYZZ3uP8t1339Xf//533XfffVHZvt9/SK2tRlS2Ha7Fi3+r1tZWSVJra6ueeea33OaRII4fD9kdgqWOHw/pwIGDdocRlhP/b+IlXjuQo/CQJ6BzDh78KOLPR7+/rYDdq1daRO0mw/s03s5J9JViV7wdS3YgRwBiydix+Vq9erUkyeFI0be+lc/5CRGLxc+4lBTHaQci217Afuedd7Rjxw6NHj1akrRv3z7dcccd+tnPfqb9+/erpaVFTqdTLS0tqq+vV1ZWls0Rd96pbvOggA0AABIRc/MDAACYz+v1KidnlCorX1VOziier4akYnsBe8qUKZoyZUr777m5uVq4cKEuvPBCLV26VBUVFcrPz1dFRYWys7PjcuqN4cNHaMOGyvbbPIYPz7E7JAAATuLzrdeGDZURrdvUFJQkud2eiNYfOTI34oInAACwVyAQUFnZfE2deg8FNSDKCgpu0J49H6qwcLzdoQCWsr2A3ZHZs2eruLhYTz75pNLS0lRaWmp3SBEpKLhBVVXrJLXd5sGJBsnk+ecXq7a2xvJ2a2t3Svp0NJ9VBg06TxMnTrK0TcBuwWBQUuQFbAAAzsSOPqVd/UkpvvqU5eXLtHXrFi1f/iJ3GgNR5vV6uVMNSSnmCtiVlZ+O/rrgggu0bNkyG6MxB7d5IJnV1taoZnu1Mj3Wttvjk7PbYX+1ZW3WBy1rCjAd0z4AAGJZbW2NPtixQ86M/pa12Zp6tiTpn00fWdamJLX491raXlcEAgFVVa2TYRiqqlqnwsLxfN8FAJgu5grYiYrbPJDMMj3SzVcn/ulm6frkelAVAACAlZwZ/XX2uB/aHUbUHV75lN0hhK28fJkMw5AkGUYro7ABAFGR+BWlGMFtHgA6kky3xcbTLbEAAAA4vU2bfAqF2gZxhEIhbdpUldAFbJ8vsmeG8LwQAOgaCtgAEANqa2u0Y3u10j3WtZn6ySdA0MJpVhqDljUFAEDc4EI24tXw4SO0YUOlQqGQXC6Xhg/PsTukmMTzQgCgayhgA0CMSPdI3x5tdxTR9cpauyMAAPMkU9FRovAYTW3zO29XSkamZW0aqd0lSduaDlrWZqu/3rK2YI2CghtUVbVOkuRwpCT8lJmRPjOE54UAQNdQwAYAAAAi0FZ0/KccGR7L2jRSnZKkrU0HLGtTkgx/0NL2klFKRqa65d1kdxhRdaziBbtDgMm8Xq9yckapsvJV5eSM4gGOAICooIANAAAARMiR4ZFrXK7dYURdaGXn53wFkBwKCm7Qnj0fJvzoawCAfVLsDgAAACDRBQIBlZTMVDAYsDsUAABM5fV6NWPGHEZfAwCihgI2AABAlJWXL9PWrVu0fPmLdocCAICpuEgLAIg2phABAACIokAgoKqqdTIMQ1VV61RYOJ5RagCAhPHZi7STJt1pdzhAzPP51mvDhsim5mpqCkqS3G5PROuPHJkb0YNIAbtRwAYAAIii8vJlMgxDkmQYrXHxBf/55xertrbG8nZra3dKkkpKZlra7qBB52nixEmWtgkAiYCLtIC1gsGgpMgL2EC8ooANAAAQRZs2+RQKhSRJoVBImzZVxXwBu7a2Rh/s2CZl9La24dS2fz5oqrOuTf9B69oCgAQTjxdpAbuNGHF1xKOgT1zknzFjjokRAbGPAjYAAEAUDR8+Qhs2VCoUCsnlcmn48By7QwpPRm+5rvuG3VFEXejld+wOAQDiVjxepAWAWGPH3Y/xducjBWwAAIAoKii4QVVV6yRJDkeKCgvH2xwRAADmiNuLtABins9nz1zhdswTXltbo13/2q6BaX0sa9OT0q3th/pmy9rc1Xwg4nUpYAMAkEC4eh97vF6vcnJGqbLyVeXkjGJuUABAwuAiLYBYFI9zhQ9M66MHh99kdxhR9fCmFyJelwI2ACAu8FC58NTW1mjbjmr1yIhCUKfR8sm8xbubqi1r86jfsqZMUVBwg/bs+ZAv9gCAhMJFWgDRwlzh+CwK2ACAuFBbW6N/ba9WWrq17aac1fZvfcC64mxzY9fW75EhnZ/nMCeYGLWjwrA7hE7xer10oAEACSneLtIm091qkvV3rPl8yTPtAwDrUMAGAMSNtHRp+Fi7o4i+TavtjgAAACA88XaRtra2Rjt27NQ56YMsa7NbqluS1By09gJ8Q2Otpe11VTxO+wDAGhSwAQAAAABA0jgnfZDy82bYHUbUragosbxNpn0AEA0pdgcAAAAAAAAAAMCpUMAGAAAAAAAAAMQkCtgAAAAAAAAAgJhEARsAAAAAAAAAEJNsf4hjIBDQ/fffr127dik1NVWDBg3SnDlzlJ6erpqaGhUXFysYDMrj8ai0tFSDBw+2O2QAAJCkfL712rChstPrNTUFJUlutyeidkeOzI34gUgAAAAAEM9sH4HtcDg0efJkrV69WitXrtSAAQP0y1/+UpI0a9YsFRUVafXq1SoqKtLMmTNtjhYAAKDzgsGggsGg3WEAAAAAQNyxfQS2x+PRsGHD2n+/7LLLtHTpUvn9flVXV2vx4sWSpLy8PM2dO1eNjY1KT0+3K1wAAJDERoy4OqKR0CUlbRfhZ8yYY3JEAAAAAJDYbC9gf1Zra6uWLl2q3Nxc1dXVqW/fvnI6nZIkp9OpzMxM1dXVdaqAnZHRK1rhAkpNdelju4OwUGqqS3369O70OoejFE8siiRHJ9ZLFuQoPOTpzCLNkR1O/H+Jt3iTBe+38ETaD0gmHEtnRo7CE0+fcfGm7VhKnm9x8XQsxVt/yQ7kKDzxlqfUVJeO2x2ERSI9J8VUL2Du3Lnq2bOnbrnlFlVXV5uyTb//kFpbDVO2Bfy748dDdodgqePHQzpw4GCn10kmkeToxHrJghyFJ9I8HTjQoKN+aUdFYn/2HfVLB9QQUY7scOL4jbd4kwXnpfDQDzgzjqUzI0fhiTRPODOOpdgVb/0lO5Cj8MRbng4caFCwuUEPb3rB7lCiqra5Xp4Draf9/5KS4jjtQOSYKWCXlpaqtrZWCxcuVEpKirKysrR//361tLTI6XSqpaVF9fX1ysrKsjtUAAAAAAAAAIAFYqKAPX/+fL3//vtatGiRUlNTJUkZGRnKzs5WRUWF8vPzVVFRoezsbOa/BpCQmpqC8gelV9baHUl0+YOSwxW0O4yE5nZ71Ky9Oj/PYXcoUbWjwpDb7bE7DAAAgITz/POLVVtbY3m7tbU7JX367BCrDBp0niZOnGRpm8Bnud0euY+l6MHhN9kdSlQ9vOkFyZ0W0bq2F7D/+c9/auHChRo8eLBuuqntf9QXvvAFlZWVafbs2SouLtaTTz6ptLQ0lZaW2hwtAAAAAABA4qqtrdHO7TvVzzPQ0nbPdrklSR/5Wy1rc19wV8Tr2lHot6vIL0VW6OdiCMxiewH7S1/6krZu3XrK1y644AItW7bM4ogAwHput0dGaK++PdruSKLrlbVi1CwAJJGmpqAMv1+higq7Q4k6w+9XkyOx734BkDz6eQbqjtEP2h1G1D279uGI162trVHtv3ZqYG/rCv1uR1uR39hvXZFfknYdjKzQX1tbo13/2qGBvfubHFHHPI6z237Y/5Flbe46uNeytpKR7QVsJB6fb702bKiMaN2mpqCkyAtcI0fmasSIqyNaFwAAAAAAIFwDew/U/UN/ZncYUffo5kciXndg7/6aPuz7JkYTm37+1tN2h5DQKGAjpgSDQUmM0AQAAEgEbrdH+wxDrrw8u0OJulBFBX1YAACAKKCADdONGHF1xKOgT8xPNGPGHBMjAgAAAAAAABCPKGB3ks8X2fQYTI0BAAAAAAAAAJ1DAdsiTI0BAAAAAIhFPh/PMQI6q6kpqODBQJfmh44Xuw7WytPd2+n12nLUmBTzQ9ce3CtP93S7w0hYFLA7KdLpMeJtaoznn1+s2toay9utrd0p6dN8WWXQoPM0ceIkS9sEANjDjs84uz7fpMg+45qagpL/oEIvvxOdoGKJ/6Ca1COiVZuagjL8QYVWRlb0iSeGP6gmnWV3GEhiTU1BtfgbdXjlU3aHEnUt/r1qUmRFkEg/45qagu2Drjrr2LGPJCni9V9++Q8RFc/5DgcAyYMCNk6ptrZGu/61VQPdZ1varsfZ2vbDgQ8ta3NX02HL2kpGTU1BNQalpetDdocSdfVBKd0VtDsMAGdQW1ujD3Z8IJ3TzbpGu7WdAz9otvjicMMxa9sDEJGmpqBa/X4dq3jB7lCiqtVfrya12B1GQqutrdE/d9SoV8bATq7ZW6me3pE1eqRJkpTa0x3Z6pKONHXuuDjk3xVRW1Lb+83vD2pFRUnE24gXDf5aGQ5Pp9dr+w4X0LNrHzY/qBhTF6xVuqvzI4ultrsO0j5K0/1Df2ZyVLHn0c2PyOFO6fR6brdH7o+6a/qw70chqtjy87eeltzd7Q4jYVHAxmkNdJ+tn434it1hRN0jvvftDgEAYLVzuiklf4DdUURd64rdEa3ndntUp6NyXfcNkyOKPaGX34n4tne326N9+liucbnmBhWDQisrmQoPtnK7PapXd5097od2hxJ1h1c+JXcXiiC9Mgbq0vzELqj9dUXiT9kAAPgUBWwAUeV2e+QK7dXNVyf+6Wbp+pDO5ss9AADoJLfbo/1yqlveTXaHElXHKl6Q2x3hKF/AJG63Rw7Drfy8GXaHEnUrKkqU5nZ0ej2326NuoTTdMfrBKEQVW55d+7C6RzCyGIC1Er+idArMfQkAQPJqm9/5WMSjk+NKwzE1GUG7owAAWKSpKahD/kDCj1A+5N+lJkU27QMAIP4kZQG7bX7nf2qg27qng3qcn6T6gN+yNiVpV1Ojpe0BAAAAn2U0+hWqqLC2zaNHJEmOHj2ta7PRL3koqAEAAJgtKQvYkjTQna4ZI8bYHUbUlfjW2B0CAAAxxe32qM4RSJo5sN1pHrvDQBIbNOg8W9qtbWp7qNygLAsLyh6vbfsLnOB2e3REvZNiDmy322l3GAAAiyRtARswQ1NTUIEmQ2WvH7c7lKjb02TImxq0OwwAABBH7JrG7sS0fTNmzLGlfQAAAJiHmeoBAAAAAAAAADEpKUdgNzUFFWxqTIrpNWqbGuVJ5daqaHG7Pep5vE7/eVWq3aFEXdnrx3WW22N3GAAAAADQJQ2NtVpRUWJZe0eOBiVJPXt4LGtTatvPNM9gS9tMNrsO7tKjm617aGrTsbYpstzd3Ja1KbXt56C+gy1tE/ispCxgAwAAAACA5GPHXPWBT+bl72flvPyS0jyDmZs/iuzIbVNt27Hk6WvtsTSoL8cS7JWUBWy32yP38ZbkeYgjo2aBuNAYlF5Za117Rz9q+7dHd+vabAxKngzr2gPQBf6DCr38jrVtHjnW9m/Pbta16T8oubOsaw8AouyQf5f+usK6EaHHj7QV1FJ7Wjci9JB/l+SOrJhmx9z88Tgv/77gLj279mFL2zz0Udux1Ku7dcfSvuAuDc4YHNG6HEvh2XVwr37+1tOWttl07KAkyd2tt2Vt7jq4VwP7nh/5+s0H9PCmF0yMqGNNxw5LktzdzraszV3NBzQwMy2idZOygA3AWvVBaen6kKVtHv6kOHu2hcXZ+qB0XoTFWXuu3u+UJGVF2GGLhCfDnn1NNkf90o4Kw7L2Pj7S9u9ZPS1rUkf9kqy9czKp2PU+rQ3ubGs/y8KCsjuL8xKAhGHH+aw22CxJyspKt65R93mcu6PIrtzu/2R08TkZ1o0uHpzByOJosiu3wdp9kiR33z6WtTmw7/kR768deQrWNkqS3JnW9bsHZqZFvK8UsAFElV0fWA2fFGczLSzOnteF4ixX72EWe7647pQkDcgabF2jbi6GRJMd5yQpPs9Lhj+o0MpK69o70naF1tHTwiu0attPua37EgggMvQpYQb6ATALx1J4OHefGQVsnFLbgy4P6xHf+3aHEnW1TYflSQ1GvP6eJkNlrx83L6AzOHisbVRl724Oy9qU2vZzcATfW/nAglmamoJqbpQ2rbY7kuhrbpS6pQQjWpfOT5gajql1xW7r2jvyyV0oPS3uejUckyK7Sw9hsPOC0aAsi4vJ7j5cNIqyVn+9jlVYd+uwcaTt1mFHT+tuHW7110tu627nBmA9n2+9NmyI7MJu7SeDkE70LTtj5MhcjRhxdUTtAoh9SVvA3tXU2DY/tEWajh2VJLm79bCsTaltPwf2YcLZaLHji9zBTz7U0/sMtrTdwX0Y7QggMdhSdAzsbGu732BrG07j3B1NXDCCWey5GOJvazurn3WNuntzTgJwWh6Px+4QAMSopCxg2zO3zE5JktviYvLAPhkR7a/b7VHTgf1RiKhjTcfaRjK7u6Va1qZDbfsbCb64RpfPx9V7fMrt9uhAw17L2/3k+qMsvv4Y8XkJZ8a5O7p8Ps7dQGdxXgpPi3+vDq98yrL2Wo+0PQQspae1o8Zb/Hsld+QPAouEz2fPuVvi/J1oRoy4mv+fZ+Dz8X4DOivmC9g1NTUqLi5WMBiUx+NRaWmpBg8e3KVt0kE8M/sm2t8pSXL3+YJlbQ5kZHFC4up94rHtoXLNOyVJmf0HW9ZmppfzEpIT5258ls/HxRB8yp5R6m0PAbN+yp7IHwRmB87dgHV4vyFZOQzDMOwOoiO33nqrvvOd7yg/P18rVqzQSy+9pOeeey7s9f3+Q2pttX8X462AbZdkypPPF9mXshNfyAYNGhxRu3wpSyw+X9e/3CfDseTz2ZMnchSeZMhTMuUI0UVfKTxNTUFJkd3NEk/vN5+Pc3c4fD7O3TCHz8exBFjF5+M73Jn4fInVD0hJcSgjo9cpX4vpEdh+v1/V1dVavHixJCkvL09z585VY2Oj0tPTbYnJ5+vaB1Yy3Obh83E7TDRxxRVm4VgKD3k6M3J0ZuQI/87no095JtyGHl2cl86MHMEsHEuAtXjPnVm85SimR2C///77euCBB7Rq1ar2Zddee63mzZunL3/5y2Ftw+wR2D5fZF82ujIKRIqvLxs+nz2jZaT4yhMAAEhePh99SgAAAOCEjkZgJ3wBGwAAAAAAAAAQn2J6CpGsrCzt379fLS0tcjqdamlpUX19vbKyssLeRqzMgQ0AAAAAAAAA+LyORmCnWBxLp2RkZCg7O1sVFRWSpIqKCmVnZ9s2/zUAAAAAAAAAwDoxPYWIJG3fvl3FxcVqbm5WWlqaSktLdf7554e9PiOwAQAAAAAAACB2xe0c2GaggA0AAAAAAAAAsStupxABAAAAAAAAACQvCtgAAAAAAAAAgJhEARsAAAAAAAAAEJMoYAMAAAAAAAAAYhIFbAAAAAAAAABATHLZHUC0paQ47A4BAAAAAAAAAHAaHdVwHYZhGBbGAgAAAAAAAABAWJhCBAAAAAAAAAAQkyhgAwAAAAAAAABiEgVsAAAAAAAAAEBMooANAAAAAAAAAIhJFLABAAAAAAAAADGJAjYAAAAAAAAAICZRwAYAAAAAAAAAxCQK2AAAAAAAAACAmEQBGwAAAAAAAAAQkyhgRygQCOjOO+/U2LFjNW7cOE2dOlWNjY2SpJqaGk2YMEFjx47VhAkTtHPnzvb1In0tXkUjT6WlpcrNzdVFF12kbdu2WbxH5jM7Rx1tL15F4zi66667dN1116mgoEBFRUXasmWLxXtlvmjk6YQFCxYkxHsuGjnKzc3Vt771LeXn5ys/P18+n8/ivTJfNPJ07NgxzZo1S2PGjNG4ceP0X//1XxbvlbnMztGHH37Yfgzl5+crNzdXl19+uQ17Zq5oHEvr1q1TQUGB8vPzNW7cOK1Zs8bivTJXNHK0fv16FRYWaty4cbrlllu0e/dui/fKXJHmqKM+I/3une3rdZQn+t1tTpeHROx3S9E5lhKt7x2NHJ2QKP1uKTp5SrS+dzRyRL+7zelyRL87/GMppvrdBiISCASMN998s/33X/ziF8bPfvYzwzAMY+LEiUZ5eblhGIZRXl5uTJw4sf3vIn0tXkUjT++8846xd+9eY9SoUcbWrVut2I2oMjtHHW0vXkXjOGpubm7/+dVXXzUKCgqiug9WiEaeDMMw3n//feOOO+4wrr766rh/z0UjR4lyLvqsaORp7ty5xsMPP2y0trYahmEYBw4ciPp+RFO03m8nlJSUGA899FC0wreM2XlqbW01hg4d2v6e27Jli3HZZZcZLS0tluxPNJido2AwaFx++eXGjh072l/73ve+Z8m+REukOeqoz0i/O7w80e9uc7o8JGK/2zCicywlWt87GjkyjMTqdxtGdPKUKOejE6KRI/rdbcL9DEv2fvfp8hRr/W4K2Cb505/+ZNx2221GQ0ODMWTIECMUChmGYRihUMgYMmSI4ff7I34tkXQ1T5+VaB9cJ5iZo89uL5GYnaPly5cbhYWFlu6DFczI07Fjx4wbb7zR2LVrV0K+58zIUSLm5d91NU+HDh0yhgwZYhw6dMjO3YgqM89Lx44dM4YNG2a8//77lu9HtHU1T62trcbll19ubN682TAMw3j77beNMWPG2LY/0dDVHP31r381rr322vbtBQIB48ILL0yoPmU4Ofqsfz9P0+/ufN86UT/rzMzRZ7eXaMzOUyL2vc3IUaL3uw3DnDwlam5O6GqO6Hd37pyU7P3uzzpVATuW+t0u+8Z+J47W1lYtXbpUubm5qqurU9++feV0OiVJTqdTmZmZqqurk2EYEb2Wnp5u276ZyYw8JUouTsfsHH12e4nCzBw9+OCD2rhxowzD0DPPPGPbPkWDWXl64okndN1112nAgAF27k5UmHks3XfffTIMQ0OGDNG9996rtLQ02/bLbGbkyel0yuPxaMGCBXrrrbd09tlna9q0aRo6dKidu2Yas8/dlZWV6tu3r7785S/bsj/RYlaeHn/8cd11113q2bOnDh8+rKefftrO3TKVGTk677zz1NDQoL/97W/62te+ppUrV0pSwvSjws1RR/sa6XrxxIw8JTqzc5SI/W7J3Dwlat/brBwlcr9bMvdYStS+txk52r17N/3uTpy7k73f3VGeHA5HTPW7mQPbBHPnzlXPnj11yy232B1KTCNPZ2Z2jhIx52bu08MPP6z169frnnvu0aOPPmpCdLHDjDy9++67+vvf/66ioiITI4sdZh1LS5Ys0csvv6yXXnpJhmFozpw5JkUYG8zIUygU0u7du3XJJZfoD3/4g+677z7dfffdOnTokImR2sfsc+1LL72k73znO6ZsK5aYdSw9/fTTevLJJ7Vu3To99dRTuueee3T48GETI7WPGTnq3bu35s+fr0ceeUTXX3+9/H6/0tLS5HIlxriVROzbRAN5OjP63eGh731m9LvDQ9/7zOh3nxn97vAkYr+bAnYXlZaWqra2Vo8//rhSUlKUlZWl/fv3q6WlRZLU0tKi+vp6ZWVlRfxaIjArT4nM7Bz9+/YSQbSOo4KCAr311lsKBAKW7k+0mJWnd955Rzt27NDo0aOVm5urffv26Y477tDrr79u5+6Zwsxj6cS/qampKioq0l/+8hd7dioKzMpT//795XK5lJeXJ0m69NJL5fV6VVNTY9u+mcXs89L+/fv1zjvvaNy4cbbsT7SYlactW7aovr5eQ4YMkSQNGTJEPXr00Pbt223bN7OYeSwNHz5cS5cu1R/+8Afdcsst+uijjxJiRF9nctSRRO9rmpWnRGZ2jhKx3y1F71hKpL63WTlK5H63ZO6xlKh9b7NyRL87/HMS/e6O8xRr/e7E+XS1wfz58/X++++rrKxMqampkqSMjAxlZ2eroqJCklRRUaHs7Gylp6dH/Fq8MzNPicrsHJ1qe/HOzBwdPnxYdXV17duurKyU2+2Wx+OxfL/MZmaepkyZotdff12VlZWqrKxUv3799Oyzz+qqq66ybf/MYGaOjhw5ooMHD0qSDMPQH//4R2VnZ9uzYyYzM0/p6ekaNmyYNm7cKKntKdh+v1+DBg2yZ+dMEo3Pt+XLl2vkyJHyer3W71CUmJmnfv36ad++fdqxY4ckafv27WpoaNDAgQPt2TmTmH0sHThwQFLb7aOPPfaYbrrpJvXs2dOGPTNPZ3PUkUTua5qZp0Rldo4Ssd8tmZunRO17m5mjRO13S+bmKVH73mbmiH53+J9v9Ls7zlOs9bsdhmEYtrQc5/75z38qLy9PgwcPVvfu3SVJX/jCF1RWVqbt27eruLhYzc3NSktLU2lpqc4//3xJivi1eBWNPJWUlGjNmjVqaGiQ1+uVx+PRqlWrbNvHrjI7Rx1tL16ZnaOGhgbdddddOnr0qFJSUuR2u/XAAw/E/bxX0Xi/fVZubq4WLlyoCy+80NL9MpPZOdq9e7fuvvtutbS0qLW1VRdccIFmzJihzMxMO3ezy6JxLO3evVvTp09XMBiUy+XSj3/8Y40cOdK2feyqaL3fxo4dqwcffFA5OTm27JfZopGnl19+Wb/5zW/kcDgkST/60Y90zTXX2LODJohGjh588EH95S9/0ccff6wrr7xS06dPV7du3Wzbx66KNEcd9Rnpd4eXJ/rdHecoEfvdkvl5SsS+dzTeb5+VCP1uyfw8JWLfOxrHEv3u8N5v9LvPnKdY6ndTwAYAAAAAAAAAxCSmEAEAAAAAAAAAxCQK2AAAAAAAAACAmEQBGwAAAAAAAAAQkyhgAwAAAAAAAABiEgVsAAAAAAAAAEBMooANAAAAAAAAAIhJFLABAAAAAAAAADGJAjYAAAAAAAAAICZRwAYAAAASWCgUsjsEAAAAIGIUsAEAAACbPPPMM7r77rtPWjZ37lw9/PDDOnjwoKZPn66rrrpKI0aM0Pz589XS0iJJ2rVrl2699VYNGzZMw4YN009+8hM1Nze3byM3N1eLFi3SuHHjdNlll1HEBgAAQNyigA0AAADY5LrrrpPP52svPodCIf3xj39Ufn6+HnjgAblcLq1Zs0bl5eXauHGjli1bJkkyDEPf//735fP59Morr2jfvn369a9/fdK2V61apUWLFmnz5s1yuVyW7xsAAABgBgrYAAAAgE0yMzM1dOhQ/elPf5Ik+Xw+eb1e9evXT1VVVZo+fbp69uypjIwM3X777Vq1apUkadCgQbryyiuVmpqq9PR0TZo0Se+8885J2544caKysrLUvXt3y/cLAAAAMAtDMQAAAAAbFRYWaunSpbrxxhv18ssvKz8/X3v37lUoFNJVV13V/netra3KysqSJPn9fpWUlGjz5s06fPiwDMNQWlraSds98bcAAABAPKOADQAAANjommuu0ezZs7Vt2zatX79eP/3pT+VyuZSamqo333zzlNN//OpXv5LD4dDLL78sr9er1157TXPmzDnpbxwOh1W7AAAAAEQNU4gAAAAANurWrZvGjh2rn/zkJ/rqV7+q/v37KzMzU1deeaV+8Ytf6NChQ2ptbdWuXbv09ttvS5IOHz6snj17Ki0tTfv379czzzxj814AAAAA0UEBGwAAALBZQUGBtm3bpvz8/PZljz76qD7++GNde+21+sY3vqEf/ehHOnDggCRp6tSpqq6u1tChQzVlyhSNGTPGrtABAACAqHIYhmHYHQQAAACQzPbu3atvf/vb2rhxo3r16mV3OAAAAEDMYAQ2AAAAYKPW1lYtXrxY1157LcVrAAAA4N/wEEcAAADAJkeOHNGVV16p/v37M481AAAAcApMIQIAAAAAAAAAiElMIQIAAAAAAAAAiEkUsAEAAAAAAAAAMYkCNgAAAAAAAAAgJlHABgAAAAAAAADEJArYAAAAAAAAAICY9P8B7Z1OlMqoSBIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1800x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(25, 5))\n",
    "sns.boxplot(x='year', y=\"precipKhouribga\", data=df_kh, ax=ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "077c1eb2-d27b-4a42-9713-c86867acfaea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(25, 5))\n",
    "sns.boxplot(x='month', y=\"precipKhouribga\", data=df_kh, ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "624120b9-c674-44d8-a974-a023ab2c2395",
   "metadata": {},
   "source": [
    "#### Extract and plot trend, seasonal and residuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9c4c15c6-9968-4721-bc89-6b49378623a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statsmodels.tsa.seasonal import seasonal_decompose \n",
    "decomposed = seasonal_decompose(df_kh['precipKhouribga'], model ='additive', period=20)\n",
    "\n",
    "#Additive time series:\n",
    "#Value = Base Level + Trend + Seasonality + Error\n",
    "#Multiplicative Time Series:\n",
    "#Value = Base Level x Trend x Seasonality x Error\n",
    "\n",
    "trend = decomposed.trend\n",
    "seasonal = decomposed.seasonal #Cyclic behavior may not be seasonal!\n",
    "residual = decomposed.resid\n",
    "\n",
    "plt.figure(figsize=(25,12))\n",
    "plt.subplot(411)\n",
    "plt.plot(df_kh['precipKhouribga'], label='Original', color='blue')\n",
    "plt.legend(loc='upper left')\n",
    "plt.subplot(412)\n",
    "plt.plot(trend, label='Trend', color='red')\n",
    "plt.legend(loc='upper left')\n",
    "plt.subplot(413)\n",
    "plt.plot(seasonal, label='Seasonal', color='green')\n",
    "plt.legend(loc='upper left')\n",
    "plt.subplot(414)\n",
    "plt.plot(residual, label='Residual', color='black')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "424bb608-0c71-4544-9e38-5e88b4e4fe3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#AUTOCORRELATION\n",
    "#Autocorrelation is simply the correlation of a series with its own lags.\n",
    "# Plot lag on x axis and correlation on y axis\n",
    "#Any correlation above confidence lnes are statistically significant.\n",
    "\n",
    "from statsmodels.tsa.stattools import acf\n",
    "\n",
    "acf_144 = acf(df_kh['precipKhouribga'], nlags=144)\n",
    "plt.plot(acf_144);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ed86b6fd-5b50-4086-b55b-6ffbd8fcc312",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Obtain the same but with single line and more info...\n",
    "from pandas.plotting import autocorrelation_plot\n",
    "fig, ax = plt.subplots(figsize=(25, 5))\n",
    "autocorrelation_plot(df_kh['precipKhouribga'],ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f738152-d326-4e00-a683-a7260b87439c",
   "metadata": {},
   "source": [
    "## Forecasting using LSTM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "499fd17d-87d3-45ae-9c5b-ff6c0d509792",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from pandas import read_csv\n",
    "import math\n",
    "\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, LSTM, SimpleRNN\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fdaba860-aaa9-415c-ae98-ede63cbe6fbc",
   "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>precipKhouribga</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>13.872842</td>\n",
       "      <td>2000</td>\n",
       "      <td>Jan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>7.474373</td>\n",
       "      <td>2000</td>\n",
       "      <td>Feb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>2.075285</td>\n",
       "      <td>2000</td>\n",
       "      <td>Mar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>38.477597</td>\n",
       "      <td>2000</td>\n",
       "      <td>Apr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>7.025321</td>\n",
       "      <td>2000</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            precipKhouribga  year month\n",
       "2000-01-01        13.872842  2000   Jan\n",
       "2000-02-01         7.474373  2000   Feb\n",
       "2000-03-01         2.075285  2000   Mar\n",
       "2000-04-01        38.477597  2000   Apr\n",
       "2000-05-01         7.025321  2000   May"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "90257bf1-c349-4b08-9a52-7d6d8d8245fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the dataset\n",
    "dataframe = df_kh['precipKhouribga']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b3d74d9b-aefb-46dc-a588-307b2c5680b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Convert pandas dataframe to numpy array\n",
    "dataset = dataframe.values\n",
    "dataset = dataset.astype('int32') #COnvert values to float\n",
    "\n",
    "# Normalization is optional but recommended for neural network as certain \n",
    "# activation functions are sensitive to magnitude of numbers. \n",
    "# normalize the dataset\n",
    "scaler = MinMaxScaler(feature_range=(0, 1)) #Also try QuantileTransformer\n",
    "dataset = scaler.fit_transform(dataset.reshape(-1,1))\n",
    "\n",
    "#We cannot use random way of splitting dataset into train and test as\n",
    "#the sequence of events is important for time series.\n",
    "#So let us take first 60% values for train and the remaining 1/3 for testing\n",
    "# split into train and test sets\n",
    "train_size = int(len(dataset) * 0.8)\n",
    "test_size = len(dataset) - train_size\n",
    "train, test = dataset[0:train_size,:], dataset[train_size:len(dataset),:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6030fcae-d259-4cc3-8d7a-0397713733bc",
   "metadata": {},
   "source": [
    "We cannot fit the model like we normally do for image processing where we have\n",
    "X and Y. We need to transform our data into something that looks like X and Y values.\n",
    "This way it can be trained on a sequence rather than indvidual datapoints. \n",
    "Let us convert into n number of columns for X where we feed sequence of numbers\n",
    "then the final column as Y where we provide the next number in the sequence as output.\n",
    "So let us convert an array of values into a dataset matrix\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "35f2c8f4-3c8d-411a-a66f-f7cf4aa034fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of samples in the original training data =  182\n",
      "Total number of samples in the generated data =  170\n"
     ]
    }
   ],
   "source": [
    "#seq_size is the number of previous time steps to use as \n",
    "#input variables to predict the next time period.\n",
    "\n",
    "#creates a dataset where X is the number of passengers at a given time (t, t-1, t-2...) \n",
    "#and Y is the number of passengers at the next time (t + 1).\n",
    "\n",
    "# def to_sequences(dataset, seq_size=1):\n",
    "#     x = []\n",
    "#     y = []\n",
    "\n",
    "#     for i in range(len(dataset)-seq_size-1):\n",
    "#         #print(i)\n",
    "#         window = dataset[i:(i+seq_size), 0]\n",
    "#         x.append(window)\n",
    "#         y.append(dataset[i+seq_size, 0])\n",
    "        \n",
    "#     return np.array(x),np.array(y)\n",
    "    \n",
    "\n",
    "seq_size = 12 # Number of time steps to look back \n",
    "#Larger sequences (look further back) may improve forecasting.\n",
    "# trainX, trainY = to_sequences(train, seq_size)\n",
    "# testX, testY = to_sequences(test, seq_size)\n",
    "\n",
    "#Compare trainX and dataset. You can see that X= values at t, t+1 and t+2\n",
    "#whereas Y is the value that follows, t+3 (since our sequence size is 3)\n",
    "\n",
    "# print(\"Shape of training set: {}\".format(trainX.shape))\n",
    "# print(\"Shape of test set: {}\".format(testX.shape))\n",
    "\n",
    "#Use TimeseriesGenerator to organize training data into the right format\n",
    "from keras.preprocessing.sequence import TimeseriesGenerator # Generates batches for sequence data\n",
    "batch_size = 1\n",
    "train_generator = TimeseriesGenerator(train.reshape(-1), train.reshape(-1), length=seq_size, batch_size=batch_size)\n",
    "print(\"Total number of samples in the original training data = \", len(train)) # 95\n",
    "print(\"Total number of samples in the generated data = \", len(train_generator)) # 55\n",
    "#With length 40 it generated 55 samples, each of length 40 (by using data of length 95)\n",
    "\n",
    "# print a couple of samples... \n",
    "#x, y = train_generator[0]\n",
    "\n",
    "#Also generate validation data\n",
    "validation_generator = TimeseriesGenerator(test.reshape(-1), test.reshape(-1), length=seq_size, batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "edc6cde5-5e51-480b-b318-ddbb495e51b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Build feed forward NN model...\n",
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " dense (Dense)               (None, 64)                832       \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 32)                2080      \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 1)                 33        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,945\n",
      "Trainable params: 2,945\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-03-11 12:23:11.968778: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA\n",
      "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "/tmp/ipykernel_5660/4228019416.py:13: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n",
      "  model.fit_generator(generator=train_generator, verbose=2, epochs=100, validation_data=validation_generator)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "170/170 - 1s - loss: 0.0290 - acc: 0.0235 - val_loss: 0.0045 - val_acc: 0.0000e+00 - 563ms/epoch - 3ms/step\n",
      "Epoch 2/100\n",
      "170/170 - 0s - loss: 0.0229 - acc: 0.0235 - val_loss: 0.0043 - val_acc: 0.0000e+00 - 187ms/epoch - 1ms/step\n",
      "Epoch 3/100\n",
      "170/170 - 0s - loss: 0.0210 - acc: 0.0235 - val_loss: 0.0035 - val_acc: 0.0000e+00 - 177ms/epoch - 1ms/step\n",
      "Epoch 4/100\n",
      "170/170 - 0s - loss: 0.0197 - acc: 0.0235 - val_loss: 0.0035 - val_acc: 0.0000e+00 - 175ms/epoch - 1ms/step\n",
      "Epoch 5/100\n",
      "170/170 - 0s - loss: 0.0189 - acc: 0.0235 - val_loss: 0.0037 - val_acc: 0.0000e+00 - 191ms/epoch - 1ms/step\n",
      "Epoch 6/100\n",
      "170/170 - 0s - loss: 0.0186 - acc: 0.0235 - val_loss: 0.0036 - val_acc: 0.0000e+00 - 170ms/epoch - 998us/step\n",
      "Epoch 7/100\n",
      "170/170 - 0s - loss: 0.0175 - acc: 0.0235 - val_loss: 0.0041 - val_acc: 0.0000e+00 - 216ms/epoch - 1ms/step\n",
      "Epoch 8/100\n",
      "170/170 - 0s - loss: 0.0167 - acc: 0.0235 - val_loss: 0.0038 - val_acc: 0.0000e+00 - 172ms/epoch - 1ms/step\n",
      "Epoch 9/100\n",
      "170/170 - 0s - loss: 0.0159 - acc: 0.0235 - val_loss: 0.0039 - val_acc: 0.0000e+00 - 186ms/epoch - 1ms/step\n",
      "Epoch 10/100\n",
      "170/170 - 0s - loss: 0.0155 - acc: 0.0235 - val_loss: 0.0045 - val_acc: 0.0000e+00 - 185ms/epoch - 1ms/step\n",
      "Epoch 11/100\n",
      "170/170 - 0s - loss: 0.0155 - acc: 0.0235 - val_loss: 0.0040 - val_acc: 0.0000e+00 - 185ms/epoch - 1ms/step\n",
      "Epoch 12/100\n",
      "170/170 - 0s - loss: 0.0146 - acc: 0.0235 - val_loss: 0.0042 - val_acc: 0.0000e+00 - 191ms/epoch - 1ms/step\n",
      "Epoch 13/100\n",
      "170/170 - 0s - loss: 0.0135 - acc: 0.0235 - val_loss: 0.0040 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 14/100\n",
      "170/170 - 0s - loss: 0.0141 - acc: 0.0235 - val_loss: 0.0040 - val_acc: 0.0000e+00 - 184ms/epoch - 1ms/step\n",
      "Epoch 15/100\n",
      "170/170 - 0s - loss: 0.0128 - acc: 0.0235 - val_loss: 0.0036 - val_acc: 0.0000e+00 - 173ms/epoch - 1ms/step\n",
      "Epoch 16/100\n",
      "170/170 - 0s - loss: 0.0124 - acc: 0.0235 - val_loss: 0.0039 - val_acc: 0.0000e+00 - 181ms/epoch - 1ms/step\n",
      "Epoch 17/100\n",
      "170/170 - 0s - loss: 0.0118 - acc: 0.0235 - val_loss: 0.0039 - val_acc: 0.0000e+00 - 185ms/epoch - 1ms/step\n",
      "Epoch 18/100\n",
      "170/170 - 0s - loss: 0.0110 - acc: 0.0235 - val_loss: 0.0055 - val_acc: 0.0000e+00 - 185ms/epoch - 1ms/step\n",
      "Epoch 19/100\n",
      "170/170 - 0s - loss: 0.0115 - acc: 0.0235 - val_loss: 0.0035 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 20/100\n",
      "170/170 - 0s - loss: 0.0108 - acc: 0.0235 - val_loss: 0.0037 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 21/100\n",
      "170/170 - 0s - loss: 0.0096 - acc: 0.0235 - val_loss: 0.0044 - val_acc: 0.0000e+00 - 191ms/epoch - 1ms/step\n",
      "Epoch 22/100\n",
      "170/170 - 0s - loss: 0.0098 - acc: 0.0235 - val_loss: 0.0058 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 23/100\n",
      "170/170 - 0s - loss: 0.0098 - acc: 0.0235 - val_loss: 0.0045 - val_acc: 0.0000e+00 - 181ms/epoch - 1ms/step\n",
      "Epoch 24/100\n",
      "170/170 - 0s - loss: 0.0095 - acc: 0.0235 - val_loss: 0.0040 - val_acc: 0.0000e+00 - 219ms/epoch - 1ms/step\n",
      "Epoch 25/100\n",
      "170/170 - 0s - loss: 0.0081 - acc: 0.0235 - val_loss: 0.0045 - val_acc: 0.0000e+00 - 228ms/epoch - 1ms/step\n",
      "Epoch 26/100\n",
      "170/170 - 0s - loss: 0.0075 - acc: 0.0235 - val_loss: 0.0079 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 27/100\n",
      "170/170 - 0s - loss: 0.0073 - acc: 0.0235 - val_loss: 0.0051 - val_acc: 0.0000e+00 - 189ms/epoch - 1ms/step\n",
      "Epoch 28/100\n",
      "170/170 - 0s - loss: 0.0073 - acc: 0.0235 - val_loss: 0.0039 - val_acc: 0.0000e+00 - 224ms/epoch - 1ms/step\n",
      "Epoch 29/100\n",
      "170/170 - 0s - loss: 0.0064 - acc: 0.0235 - val_loss: 0.0041 - val_acc: 0.0000e+00 - 222ms/epoch - 1ms/step\n",
      "Epoch 30/100\n",
      "170/170 - 0s - loss: 0.0069 - acc: 0.0235 - val_loss: 0.0060 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 31/100\n",
      "170/170 - 0s - loss: 0.0059 - acc: 0.0235 - val_loss: 0.0061 - val_acc: 0.0000e+00 - 186ms/epoch - 1ms/step\n",
      "Epoch 32/100\n",
      "170/170 - 0s - loss: 0.0065 - acc: 0.0235 - val_loss: 0.0043 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 33/100\n",
      "170/170 - 0s - loss: 0.0057 - acc: 0.0235 - val_loss: 0.0048 - val_acc: 0.0000e+00 - 201ms/epoch - 1ms/step\n",
      "Epoch 34/100\n",
      "170/170 - 0s - loss: 0.0064 - acc: 0.0235 - val_loss: 0.0047 - val_acc: 0.0000e+00 - 176ms/epoch - 1ms/step\n",
      "Epoch 35/100\n",
      "170/170 - 0s - loss: 0.0056 - acc: 0.0235 - val_loss: 0.0043 - val_acc: 0.0000e+00 - 212ms/epoch - 1ms/step\n",
      "Epoch 36/100\n",
      "170/170 - 0s - loss: 0.0048 - acc: 0.0235 - val_loss: 0.0068 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 37/100\n",
      "170/170 - 0s - loss: 0.0049 - acc: 0.0294 - val_loss: 0.0041 - val_acc: 0.0000e+00 - 176ms/epoch - 1ms/step\n",
      "Epoch 38/100\n",
      "170/170 - 0s - loss: 0.0043 - acc: 0.0294 - val_loss: 0.0049 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 39/100\n",
      "170/170 - 0s - loss: 0.0041 - acc: 0.0294 - val_loss: 0.0049 - val_acc: 0.0000e+00 - 171ms/epoch - 1ms/step\n",
      "Epoch 40/100\n",
      "170/170 - 0s - loss: 0.0053 - acc: 0.0294 - val_loss: 0.0050 - val_acc: 0.0000e+00 - 183ms/epoch - 1ms/step\n",
      "Epoch 41/100\n",
      "170/170 - 0s - loss: 0.0049 - acc: 0.0294 - val_loss: 0.0059 - val_acc: 0.0000e+00 - 173ms/epoch - 1ms/step\n",
      "Epoch 42/100\n",
      "170/170 - 0s - loss: 0.0041 - acc: 0.0294 - val_loss: 0.0066 - val_acc: 0.0000e+00 - 173ms/epoch - 1ms/step\n",
      "Epoch 43/100\n",
      "170/170 - 0s - loss: 0.0039 - acc: 0.0294 - val_loss: 0.0045 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 44/100\n",
      "170/170 - 0s - loss: 0.0038 - acc: 0.0294 - val_loss: 0.0091 - val_acc: 0.0000e+00 - 189ms/epoch - 1ms/step\n",
      "Epoch 45/100\n",
      "170/170 - 0s - loss: 0.0047 - acc: 0.0294 - val_loss: 0.0052 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 46/100\n",
      "170/170 - 0s - loss: 0.0037 - acc: 0.0294 - val_loss: 0.0082 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 47/100\n",
      "170/170 - 0s - loss: 0.0030 - acc: 0.0294 - val_loss: 0.0053 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 48/100\n",
      "170/170 - 0s - loss: 0.0041 - acc: 0.0294 - val_loss: 0.0053 - val_acc: 0.0000e+00 - 181ms/epoch - 1ms/step\n",
      "Epoch 49/100\n",
      "170/170 - 0s - loss: 0.0028 - acc: 0.0294 - val_loss: 0.0051 - val_acc: 0.0000e+00 - 170ms/epoch - 1ms/step\n",
      "Epoch 50/100\n",
      "170/170 - 0s - loss: 0.0028 - acc: 0.0294 - val_loss: 0.0056 - val_acc: 0.0000e+00 - 171ms/epoch - 1ms/step\n",
      "Epoch 51/100\n",
      "170/170 - 0s - loss: 0.0026 - acc: 0.0294 - val_loss: 0.0047 - val_acc: 0.0000e+00 - 170ms/epoch - 1ms/step\n",
      "Epoch 52/100\n",
      "170/170 - 0s - loss: 0.0022 - acc: 0.0294 - val_loss: 0.0065 - val_acc: 0.0000e+00 - 173ms/epoch - 1ms/step\n",
      "Epoch 53/100\n",
      "170/170 - 0s - loss: 0.0030 - acc: 0.0294 - val_loss: 0.0069 - val_acc: 0.0000e+00 - 174ms/epoch - 1ms/step\n",
      "Epoch 54/100\n",
      "170/170 - 0s - loss: 0.0024 - acc: 0.0294 - val_loss: 0.0064 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 55/100\n",
      "170/170 - 0s - loss: 0.0023 - acc: 0.0294 - val_loss: 0.0151 - val_acc: 0.0000e+00 - 184ms/epoch - 1ms/step\n",
      "Epoch 56/100\n",
      "170/170 - 0s - loss: 0.0023 - acc: 0.0294 - val_loss: 0.0064 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 57/100\n",
      "170/170 - 0s - loss: 0.0022 - acc: 0.0294 - val_loss: 0.0050 - val_acc: 0.0000e+00 - 175ms/epoch - 1ms/step\n",
      "Epoch 58/100\n",
      "170/170 - 0s - loss: 0.0024 - acc: 0.0294 - val_loss: 0.0062 - val_acc: 0.0000e+00 - 199ms/epoch - 1ms/step\n",
      "Epoch 59/100\n",
      "170/170 - 0s - loss: 0.0021 - acc: 0.0294 - val_loss: 0.0063 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 60/100\n",
      "170/170 - 0s - loss: 0.0019 - acc: 0.0294 - val_loss: 0.0042 - val_acc: 0.0000e+00 - 175ms/epoch - 1ms/step\n",
      "Epoch 61/100\n",
      "170/170 - 0s - loss: 0.0030 - acc: 0.0294 - val_loss: 0.0067 - val_acc: 0.0000e+00 - 199ms/epoch - 1ms/step\n",
      "Epoch 62/100\n",
      "170/170 - 0s - loss: 0.0025 - acc: 0.0294 - val_loss: 0.0060 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 63/100\n",
      "170/170 - 0s - loss: 0.0016 - acc: 0.0294 - val_loss: 0.0058 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 64/100\n",
      "170/170 - 0s - loss: 0.0014 - acc: 0.0294 - val_loss: 0.0082 - val_acc: 0.0000e+00 - 175ms/epoch - 1ms/step\n",
      "Epoch 65/100\n",
      "170/170 - 0s - loss: 0.0012 - acc: 0.0294 - val_loss: 0.0068 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 66/100\n",
      "170/170 - 0s - loss: 0.0022 - acc: 0.0294 - val_loss: 0.0059 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 67/100\n",
      "170/170 - 0s - loss: 0.0014 - acc: 0.0294 - val_loss: 0.0099 - val_acc: 0.0000e+00 - 191ms/epoch - 1ms/step\n",
      "Epoch 68/100\n",
      "170/170 - 0s - loss: 0.0014 - acc: 0.0294 - val_loss: 0.0059 - val_acc: 0.0000e+00 - 172ms/epoch - 1ms/step\n",
      "Epoch 69/100\n",
      "170/170 - 0s - loss: 0.0013 - acc: 0.0294 - val_loss: 0.0056 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 70/100\n",
      "170/170 - 0s - loss: 0.0012 - acc: 0.0294 - val_loss: 0.0076 - val_acc: 0.0000e+00 - 196ms/epoch - 1ms/step\n",
      "Epoch 71/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0053 - val_acc: 0.0000e+00 - 193ms/epoch - 1ms/step\n",
      "Epoch 72/100\n",
      "170/170 - 0s - loss: 0.0013 - acc: 0.0294 - val_loss: 0.0076 - val_acc: 0.0000e+00 - 200ms/epoch - 1ms/step\n",
      "Epoch 73/100\n",
      "170/170 - 0s - loss: 0.0014 - acc: 0.0294 - val_loss: 0.0075 - val_acc: 0.0000e+00 - 188ms/epoch - 1ms/step\n",
      "Epoch 74/100\n",
      "170/170 - 0s - loss: 0.0022 - acc: 0.0294 - val_loss: 0.0054 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 75/100\n",
      "170/170 - 0s - loss: 0.0018 - acc: 0.0294 - val_loss: 0.0089 - val_acc: 0.0000e+00 - 193ms/epoch - 1ms/step\n",
      "Epoch 76/100\n",
      "170/170 - 0s - loss: 0.0018 - acc: 0.0294 - val_loss: 0.0094 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 77/100\n",
      "170/170 - 0s - loss: 0.0019 - acc: 0.0294 - val_loss: 0.0095 - val_acc: 0.0000e+00 - 190ms/epoch - 1ms/step\n",
      "Epoch 78/100\n",
      "170/170 - 0s - loss: 0.0024 - acc: 0.0294 - val_loss: 0.0075 - val_acc: 0.0000e+00 - 173ms/epoch - 1ms/step\n",
      "Epoch 79/100\n",
      "170/170 - 0s - loss: 0.0013 - acc: 0.0294 - val_loss: 0.0105 - val_acc: 0.0000e+00 - 224ms/epoch - 1ms/step\n",
      "Epoch 80/100\n",
      "170/170 - 0s - loss: 8.7161e-04 - acc: 0.0294 - val_loss: 0.0055 - val_acc: 0.0000e+00 - 229ms/epoch - 1ms/step\n",
      "Epoch 81/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0113 - val_acc: 0.0000e+00 - 201ms/epoch - 1ms/step\n",
      "Epoch 82/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0059 - val_acc: 0.0000e+00 - 202ms/epoch - 1ms/step\n",
      "Epoch 83/100\n",
      "170/170 - 0s - loss: 7.6381e-04 - acc: 0.0294 - val_loss: 0.0078 - val_acc: 0.0000e+00 - 188ms/epoch - 1ms/step\n",
      "Epoch 84/100\n",
      "170/170 - 0s - loss: 0.0021 - acc: 0.0294 - val_loss: 0.0091 - val_acc: 0.0000e+00 - 207ms/epoch - 1ms/step\n",
      "Epoch 85/100\n",
      "170/170 - 0s - loss: 0.0014 - acc: 0.0294 - val_loss: 0.0057 - val_acc: 0.0000e+00 - 196ms/epoch - 1ms/step\n",
      "Epoch 86/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0083 - val_acc: 0.0000e+00 - 199ms/epoch - 1ms/step\n",
      "Epoch 87/100\n",
      "170/170 - 0s - loss: 0.0014 - acc: 0.0294 - val_loss: 0.0067 - val_acc: 0.0000e+00 - 192ms/epoch - 1ms/step\n",
      "Epoch 88/100\n",
      "170/170 - 0s - loss: 8.0818e-04 - acc: 0.0294 - val_loss: 0.0076 - val_acc: 0.0000e+00 - 179ms/epoch - 1ms/step\n",
      "Epoch 89/100\n",
      "170/170 - 0s - loss: 0.0010 - acc: 0.0294 - val_loss: 0.0069 - val_acc: 0.0000e+00 - 193ms/epoch - 1ms/step\n",
      "Epoch 90/100\n",
      "170/170 - 0s - loss: 0.0012 - acc: 0.0294 - val_loss: 0.0077 - val_acc: 0.0000e+00 - 198ms/epoch - 1ms/step\n",
      "Epoch 91/100\n",
      "170/170 - 0s - loss: 9.6637e-04 - acc: 0.0294 - val_loss: 0.0057 - val_acc: 0.0000e+00 - 180ms/epoch - 1ms/step\n",
      "Epoch 92/100\n",
      "170/170 - 0s - loss: 0.0015 - acc: 0.0294 - val_loss: 0.0057 - val_acc: 0.0000e+00 - 194ms/epoch - 1ms/step\n",
      "Epoch 93/100\n",
      "170/170 - 0s - loss: 0.0016 - acc: 0.0294 - val_loss: 0.0101 - val_acc: 0.0000e+00 - 178ms/epoch - 1ms/step\n",
      "Epoch 94/100\n",
      "170/170 - 0s - loss: 0.0012 - acc: 0.0294 - val_loss: 0.0079 - val_acc: 0.0000e+00 - 192ms/epoch - 1ms/step\n",
      "Epoch 95/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0100 - val_acc: 0.0000e+00 - 193ms/epoch - 1ms/step\n",
      "Epoch 96/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0071 - val_acc: 0.0000e+00 - 181ms/epoch - 1ms/step\n",
      "Epoch 97/100\n",
      "170/170 - 0s - loss: 0.0020 - acc: 0.0294 - val_loss: 0.0069 - val_acc: 0.0000e+00 - 205ms/epoch - 1ms/step\n",
      "Epoch 98/100\n",
      "170/170 - 0s - loss: 0.0015 - acc: 0.0294 - val_loss: 0.0081 - val_acc: 0.0000e+00 - 243ms/epoch - 1ms/step\n",
      "Epoch 99/100\n",
      "170/170 - 0s - loss: 0.0018 - acc: 0.0294 - val_loss: 0.0085 - val_acc: 0.0000e+00 - 184ms/epoch - 1ms/step\n",
      "Epoch 100/100\n",
      "170/170 - 0s - loss: 0.0011 - acc: 0.0294 - val_loss: 0.0046 - val_acc: 0.0000e+00 - 173ms/epoch - 1ms/step\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f682d9c1420>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "################################################\n",
    "#Input dimensions are... (N x seq_size)\n",
    "print('Build feed forward NN model...')\n",
    "# create and fit dense model\n",
    "model = Sequential()\n",
    "model.add(Dense(64, input_dim=seq_size, activation='relu')) #12\n",
    "model.add(Dense(32, activation='relu'))  #8\n",
    "model.add(Dense(1))\n",
    "model.compile(loss='mean_squared_error', optimizer='adam', metrics = ['acc'])\n",
    "print(model.summary()) \n",
    "\n",
    "######################################################\n",
    "model.fit_generator(generator=train_generator, verbose=2, epochs=100, validation_data=validation_generator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "2da534e8-13bc-42e3-b1af-13d3f08567b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save(\"modelLSTMv00.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "042136cd-4d1b-4d86-b969-9ba92b1619a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Score: 5.96 RMSE\n",
      "Test Score: 10.72 RMSE\n"
     ]
    }
   ],
   "source": [
    "# make predictions\n",
    "\n",
    "trainPredict = model.predict(train_generator)\n",
    "testPredict = model.predict(validation_generator)\n",
    "\n",
    "# Estimate model performance\n",
    "#SInce we used minmaxscaler we can now use scaler.inverse_transform\n",
    "#to invert the transformation.\n",
    "\n",
    "trainPredict = scaler.inverse_transform(trainPredict)\n",
    "trainY_inverse = scaler.inverse_transform(train)\n",
    "testPredict = scaler.inverse_transform(testPredict)\n",
    "testY_inverse = scaler.inverse_transform(test)\n",
    "\n",
    "# calculate root mean squared error\n",
    "trainScore = math.sqrt(mean_squared_error(trainY_inverse[seq_size:], trainPredict[:,0]))\n",
    "print('Train Score: %.2f RMSE' % (trainScore))\n",
    "\n",
    "testScore = math.sqrt(mean_squared_error(testY_inverse[seq_size:], testPredict[:,0]))\n",
    "print('Test Score: %.2f RMSE' % (testScore))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ba0fd9b0-93b1-45ab-923e-af651a9b654d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(46, 1)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testY_inverse.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c2d68996-9936-422a-aed7-ccdfb23a9055",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2018-01-01    33.698877\n",
       "2018-02-01    20.748062\n",
       "2018-03-01    16.613244\n",
       "2018-04-01    23.001947\n",
       "2018-05-01    27.257460\n",
       "2018-06-01     3.066180\n",
       "2018-07-01     1.136341\n",
       "2018-08-01     6.111350\n",
       "2018-09-01     4.688000\n",
       "2018-10-01    34.422764\n",
       "2018-11-01    43.916373\n",
       "2018-12-01    13.955878\n",
       "Name: precipKhouribga, dtype: float64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kh['precipKhouribga'][-12:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "5615454a-60f1-4f41-8dbf-fef802fd75c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# shift train predictions for plotting\n",
    "#we must shift the predictions so that they align on the x-axis with the original dataset. \n",
    "trainPredictPlot = np.empty_like(dataset)\n",
    "trainPredictPlot[:, :] = np.nan\n",
    "trainPredictPlot[seq_size:len(trainPredict)+seq_size, :] = trainPredict\n",
    "\n",
    "# shift test predictions for plotting\n",
    "testPredictPlot = np.empty_like(dataset)\n",
    "testPredictPlot[:, :] = np.nan\n",
    "#testPredictPlot[len(trainPredict)+(seq_size*2)-1:len(dataset)-1, :] = testPredict\n",
    "testPredictPlot[len(train)+(seq_size)-1:len(dataset)-1, :] = testPredict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "90b42b15-1942-4e09-8fbd-574b5b4cb496",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot baseline and predictions\n",
    "fig, ax = plt.subplots(figsize=(25, 5))\n",
    "plt.plot(df_kh.index, scaler.inverse_transform(dataset), label='Original')\n",
    "plt.plot(df_kh.index, trainPredictPlot, label='Predicted (Training Data)')\n",
    "plt.plot(df_kh.index, testPredictPlot, label='Predicted (Test Data)')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f2f47c49-5779-491c-8bb0-8a5be7e1a838",
   "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>precipKhouribga</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>13.872842</td>\n",
       "      <td>2000</td>\n",
       "      <td>Jan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>7.474373</td>\n",
       "      <td>2000</td>\n",
       "      <td>Feb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>2.075285</td>\n",
       "      <td>2000</td>\n",
       "      <td>Mar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>38.477597</td>\n",
       "      <td>2000</td>\n",
       "      <td>Apr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>7.025321</td>\n",
       "      <td>2000</td>\n",
       "      <td>May</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            precipKhouribga  year month\n",
       "2000-01-01        13.872842  2000   Jan\n",
       "2000-02-01         7.474373  2000   Feb\n",
       "2000-03-01         2.075285  2000   Mar\n",
       "2000-04-01        38.477597  2000   Apr\n",
       "2000-05-01         7.025321  2000   May"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kh.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d88d0075-ee83-4010-889c-27c047226535",
   "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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>1532</th>\n",
       "      <th>1533</th>\n",
       "      <th>1534</th>\n",
       "      <th>1535</th>\n",
       "      <th>1536</th>\n",
       "      <th>1537</th>\n",
       "      <th>1538</th>\n",
       "      <th>1539</th>\n",
       "      <th>1540</th>\n",
       "      <th>1541</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>5.139662</td>\n",
       "      <td>5.185174</td>\n",
       "      <td>12.736306</td>\n",
       "      <td>7.222152</td>\n",
       "      <td>8.277916</td>\n",
       "      <td>10.003084</td>\n",
       "      <td>3.690965</td>\n",
       "      <td>4.015777</td>\n",
       "      <td>3.724388</td>\n",
       "      <td>3.973375</td>\n",
       "      <td>...</td>\n",
       "      <td>80.943738</td>\n",
       "      <td>53.279457</td>\n",
       "      <td>58.557885</td>\n",
       "      <td>42.157584</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>37.573582</td>\n",
       "      <td>39.338377</td>\n",
       "      <td>40.711483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>2.320398</td>\n",
       "      <td>2.510182</td>\n",
       "      <td>7.483267</td>\n",
       "      <td>3.029178</td>\n",
       "      <td>3.857246</td>\n",
       "      <td>4.342615</td>\n",
       "      <td>2.725529</td>\n",
       "      <td>1.264757</td>\n",
       "      <td>2.803877</td>\n",
       "      <td>1.386363</td>\n",
       "      <td>...</td>\n",
       "      <td>1.866421</td>\n",
       "      <td>1.128736</td>\n",
       "      <td>1.365121</td>\n",
       "      <td>0.964586</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.890602</td>\n",
       "      <td>0.922023</td>\n",
       "      <td>1.099783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>1.026504</td>\n",
       "      <td>0.911228</td>\n",
       "      <td>4.644095</td>\n",
       "      <td>0.968059</td>\n",
       "      <td>2.144454</td>\n",
       "      <td>1.894135</td>\n",
       "      <td>1.811047</td>\n",
       "      <td>1.650475</td>\n",
       "      <td>1.805033</td>\n",
       "      <td>0.908379</td>\n",
       "      <td>...</td>\n",
       "      <td>28.641492</td>\n",
       "      <td>19.283579</td>\n",
       "      <td>24.587897</td>\n",
       "      <td>5.983350</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.307444</td>\n",
       "      <td>6.350355</td>\n",
       "      <td>3.502182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>0.994122</td>\n",
       "      <td>0.929610</td>\n",
       "      <td>3.478880</td>\n",
       "      <td>0.909780</td>\n",
       "      <td>1.619741</td>\n",
       "      <td>1.273522</td>\n",
       "      <td>1.302462</td>\n",
       "      <td>0.677425</td>\n",
       "      <td>1.902222</td>\n",
       "      <td>0.860408</td>\n",
       "      <td>...</td>\n",
       "      <td>95.467146</td>\n",
       "      <td>113.049248</td>\n",
       "      <td>108.450883</td>\n",
       "      <td>72.007683</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>69.569077</td>\n",
       "      <td>70.999270</td>\n",
       "      <td>56.441982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.749234</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010291</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.974401</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.984279</td>\n",
       "      <td>...</td>\n",
       "      <td>46.760845</td>\n",
       "      <td>48.911781</td>\n",
       "      <td>53.525117</td>\n",
       "      <td>21.432269</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>22.532732</td>\n",
       "      <td>21.880218</td>\n",
       "      <td>18.199196</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 1542 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                0         1          2         3         4          5     \\\n",
       "2000-01-01  5.139662  5.185174  12.736306  7.222152  8.277916  10.003084   \n",
       "2000-02-01  2.320398  2.510182   7.483267  3.029178  3.857246   4.342615   \n",
       "2000-03-01  1.026504  0.911228   4.644095  0.968059  2.144454   1.894135   \n",
       "2000-04-01  0.994122  0.929610   3.478880  0.909780  1.619741   1.273522   \n",
       "2000-05-01  0.000000  0.000000   0.749234  0.000000  0.010291   0.000000   \n",
       "\n",
       "                6         7         8         9     ...       1532  \\\n",
       "2000-01-01  3.690965  4.015777  3.724388  3.973375  ...  80.943738   \n",
       "2000-02-01  2.725529  1.264757  2.803877  1.386363  ...   1.866421   \n",
       "2000-03-01  1.811047  1.650475  1.805033  0.908379  ...  28.641492   \n",
       "2000-04-01  1.302462  0.677425  1.902222  0.860408  ...  95.467146   \n",
       "2000-05-01  0.000000  0.974401  0.000000  0.984279  ...  46.760845   \n",
       "\n",
       "                  1533        1534       1535       1536       1537  \\\n",
       "2000-01-01   53.279457   58.557885  42.157584  37.573582  37.573582   \n",
       "2000-02-01    1.128736    1.365121   0.964586   0.890602   0.890602   \n",
       "2000-03-01   19.283579   24.587897   5.983350   6.307444   6.307444   \n",
       "2000-04-01  113.049248  108.450883  72.007683  69.569077  69.569077   \n",
       "2000-05-01   48.911781   53.525117  21.432269  22.532732  22.532732   \n",
       "\n",
       "                 1538       1539       1540       1541  \n",
       "2000-01-01  37.573582  37.573582  39.338377  40.711483  \n",
       "2000-02-01   0.890602   0.890602   0.922023   1.099783  \n",
       "2000-03-01   6.307444   6.307444   6.350355   3.502182  \n",
       "2000-04-01  69.569077  69.569077  70.999270  56.441982  \n",
       "2000-05-01  22.532732  22.532732  21.880218  18.199196  \n",
       "\n",
       "[5 rows x 1542 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7bc79dac-75c5-437e-b6cd-46b51feb326e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.DataFrame(df_kh['precipKhouribga']).to_json('precipKh.json', date_unit='ns')"
   ]
  }
 ],
 "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": "3.10.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}