3.8 [Climatic indices] Thermal and minimum air humidity amplitudes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyzing if there are periods with thermal amplitude in an extreme situation for a long period\n",
    "\n",
    "# Also we will study if it occurs to min air humidity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import climate as cli\n",
    "import imp\n",
    "imp.reload(cli)\n",
    "plt.rcParams.update({'font.size': 16})\n",
    "from matplotlib import rcParams\n",
    "rcParams.update({'figure.autolayout': True})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"DATA111_2DAILY_V1.csv\")\n",
    "data['YEAR'] = data['YEAR'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# To better visualyze the heat waves we wil work with a shifted dataframe starting in winter\n",
    "\n",
    "data['NEW_DAY'] = data['DAY365']\n",
    "\n",
    "data.loc[data['DAY365'] < 152 ,'NEW_DAY'] = data[data['DAY365'] < 152]['DAY365'].values + 214\n",
    "data.loc[data['DAY365'] >= 152, 'NEW_DAY'] = data[data['DAY365'] >= 152]['DAY365'].values - 151"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['YEAR', 'DAY365', 'MAX_N_WNDVEL_5M', 'DIR_MAX_N_WNDVEL_5M',\n",
       "       'MIN_N_WNDVEL_5M', 'DIR_MIN_N_WNDVEL_5M', 'MEAN_N_WNDVEL_5M',\n",
       "       'MAX_N_WNDVEL_2M', 'DIR_MAX_N_WNDVEL_2M', 'MIN_N_WNDVEL_2M',\n",
       "       'DIR_MIN_N_WNDVEL_2M', 'MEAN_N_WNDVEL_2M', 'MAX_N_WNDDIR_DEGREE',\n",
       "       'DIR_MAX_N_WNDDIR_DEGREE', 'MIN_N_WNDDIR_DEGREE',\n",
       "       'DIR_MIN_N_WNDDIR_DEGREE', 'MEAN_N_WNDDIR_DEGREE',\n",
       "       'MAX_N_INCRAD_10MSR', 'DIR_MAX_N_INCRAD_10MSR',\n",
       "       'MIN_N_INCRAD_10MSR', 'DIR_MIN_N_INCRAD_10MSR',\n",
       "       'MEAN_N_INCRAD_10MSR', 'MAX_N_REFRAD_10MSR',\n",
       "       'DIR_MAX_N_REFRAD_10MSR', 'MIN_N_REFRAD_10MSR',\n",
       "       'DIR_MIN_N_REFRAD_10MSR', 'MEAN_N_REFRAD_10MSR',\n",
       "       'MAX_N_PHTFLOW_10MSR', 'DIR_MAX_N_PHTFLOW_10MSR',\n",
       "       'MIN_N_PHTFLOW_10MSR', 'DIR_MIN_N_PHTFLOW_10MSR',\n",
       "       'MEAN_N_PHTFLOW_10MSR', 'MAX_N_NHTFLOW_10MSR',\n",
       "       'DIR_MAX_N_NHTFLOW_10MSR', 'MIN_N_NHTFLOW_10MSR',\n",
       "       'DIR_MIN_N_NHTFLOW_10MSR', 'MEAN_N_NHTFLOW_10MSR',\n",
       "       'MAX_N_AIRMTR_PCT10', 'DIR_MAX_N_AIRMTR_PCT10',\n",
       "       'MIN_N_AIRMTR_PCT10', 'DIR_MIN_N_AIRMTR_PCT10',\n",
       "       'MEAN_N_AIRMTR_PCT10', 'MAX_N_AIRTMP_MED10',\n",
       "       'DIR_MAX_N_AIRTMP_MED10', 'MIN_N_AIRTMP_MED10',\n",
       "       'DIR_MIN_N_AIRTMP_MED10', 'MEAN_N_AIRTMP_MED10', 'MAX_N_GRDTMP_3CM',\n",
       "       'DIR_MAX_N_GRDTMP_3CM', 'MIN_N_GRDTMP_3CM', 'DIR_MIN_N_GRDTMP_3CM',\n",
       "       'MEAN_N_GRDTMP_3CM', 'MAX_N_GRDTMP_6CM', 'DIR_MAX_N_GRDTMP_6CM',\n",
       "       'MIN_N_GRDTMP_6CM', 'DIR_MIN_N_GRDTMP_6CM', 'MEAN_N_GRDTMP_6CM',\n",
       "       'MAX_N_GRDTMP_UV', 'DIR_MAX_N_GRDTMP_UV', 'MIN_N_GRDTMP_UV',\n",
       "       'DIR_MIN_N_GRDTMP_UV', 'MEAN_N_GRDTMP_UV', 'MAX_N_PRESSION_HPA',\n",
       "       'DIR_MAX_N_PRESSION_HPA', 'MIN_N_PRESSION_HPA',\n",
       "       'DIR_MIN_N_PRESSION_HPA', 'MEAN_N_PRESSION_HPA', 'MAX_N_RAIN_SUM10',\n",
       "       'DIR_MAX_N_RAIN_SUM10', 'MIN_N_RAIN_SUM10', 'DIR_MIN_N_RAIN_SUM10',\n",
       "       'MEAN_N_RAIN_SUM10', 'HUMIDEX', 'MONTH', 'WEEK', 'NEW_DAY'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating variable of Thermal amplitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['N_TERMAMP'] = data['MAX_N_AIRTMP_MED10'] - data['MIN_N_AIRTMP_MED10']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18bdde46588>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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BVZmb1cpjZ1xhNmX5WbbcgEkplmxMUmho7+H1DfXMKS+K2fLPbokIR5QX8V51pCZNNyb+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\nSzbGGGOizpKNMcaYqLNkY4wxJur+P/AohIPNIjBdAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bdab5c320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['N_TERMAMP'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15.8"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['N_TERMAMP'].quantile(.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Days with max air temp above 40"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MIN_N_AIRTMP_MED10</th>\n",
       "      <th>MAX_N_AIRTMP_MED10</th>\n",
       "      <th>DAY365</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MIN_N_AIRMTR_PCT10</th>\n",
       "      <th>MAX_N_AIRMTR_PCT10</th>\n",
       "      <th>N_TERMAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>20.68</td>\n",
       "      <td>38.82</td>\n",
       "      <td>315.0</td>\n",
       "      <td>1997</td>\n",
       "      <td>35.51</td>\n",
       "      <td>100.0</td>\n",
       "      <td>18.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>22.68</td>\n",
       "      <td>44.80</td>\n",
       "      <td>316.0</td>\n",
       "      <td>1997</td>\n",
       "      <td>62.14</td>\n",
       "      <td>100.0</td>\n",
       "      <td>22.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>21.22</td>\n",
       "      <td>31.83</td>\n",
       "      <td>317.0</td>\n",
       "      <td>1997</td>\n",
       "      <td>62.68</td>\n",
       "      <td>100.0</td>\n",
       "      <td>10.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>25.01</td>\n",
       "      <td>38.88</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>50.32</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>26.26</td>\n",
       "      <td>42.16</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>65.31</td>\n",
       "      <td>100.0</td>\n",
       "      <td>15.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>32.72</td>\n",
       "      <td>44.76</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>77.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>24.47</td>\n",
       "      <td>41.45</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>78.20</td>\n",
       "      <td>100.0</td>\n",
       "      <td>16.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>23.84</td>\n",
       "      <td>42.31</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>69.79</td>\n",
       "      <td>100.0</td>\n",
       "      <td>18.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>26.97</td>\n",
       "      <td>41.41</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>69.39</td>\n",
       "      <td>100.0</td>\n",
       "      <td>14.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>28.21</td>\n",
       "      <td>41.40</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>58.02</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>22.18</td>\n",
       "      <td>42.30</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>51.69</td>\n",
       "      <td>100.0</td>\n",
       "      <td>20.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>21.06</td>\n",
       "      <td>32.86</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>51.22</td>\n",
       "      <td>100.0</td>\n",
       "      <td>11.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>20.18</td>\n",
       "      <td>44.45</td>\n",
       "      <td>363.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1407</th>\n",
       "      <td>17.06</td>\n",
       "      <td>30.17</td>\n",
       "      <td>364.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1795</th>\n",
       "      <td>17.46</td>\n",
       "      <td>30.31</td>\n",
       "      <td>47.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>54.47</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>17.03</td>\n",
       "      <td>41.94</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.0</td>\n",
       "      <td>24.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1797</th>\n",
       "      <td>17.03</td>\n",
       "      <td>28.10</td>\n",
       "      <td>49.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>55.24</td>\n",
       "      <td>100.0</td>\n",
       "      <td>11.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2369</th>\n",
       "      <td>13.86</td>\n",
       "      <td>23.04</td>\n",
       "      <td>257.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>53.78</td>\n",
       "      <td>89.3</td>\n",
       "      <td>9.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>12.56</td>\n",
       "      <td>43.20</td>\n",
       "      <td>258.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>28.14</td>\n",
       "      <td>100.0</td>\n",
       "      <td>30.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>15.74</td>\n",
       "      <td>41.34</td>\n",
       "      <td>259.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>77.90</td>\n",
       "      <td>100.0</td>\n",
       "      <td>25.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2372</th>\n",
       "      <td>14.31</td>\n",
       "      <td>23.89</td>\n",
       "      <td>260.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>53.83</td>\n",
       "      <td>96.6</td>\n",
       "      <td>9.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2715</th>\n",
       "      <td>13.71</td>\n",
       "      <td>30.98</td>\n",
       "      <td>238.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>31.42</td>\n",
       "      <td>98.8</td>\n",
       "      <td>17.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>14.67</td>\n",
       "      <td>44.13</td>\n",
       "      <td>239.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>36.36</td>\n",
       "      <td>100.0</td>\n",
       "      <td>29.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2717</th>\n",
       "      <td>20.26</td>\n",
       "      <td>21.30</td>\n",
       "      <td>240.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>80.80</td>\n",
       "      <td>87.2</td>\n",
       "      <td>1.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3545</th>\n",
       "      <td>19.00</td>\n",
       "      <td>29.08</td>\n",
       "      <td>346.0</td>\n",
       "      <td>2006</td>\n",
       "      <td>60.99</td>\n",
       "      <td>92.2</td>\n",
       "      <td>10.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td>19.40</td>\n",
       "      <td>41.94</td>\n",
       "      <td>347.0</td>\n",
       "      <td>2006</td>\n",
       "      <td>54.61</td>\n",
       "      <td>100.0</td>\n",
       "      <td>22.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3547</th>\n",
       "      <td>22.54</td>\n",
       "      <td>28.17</td>\n",
       "      <td>348.0</td>\n",
       "      <td>2006</td>\n",
       "      <td>54.49</td>\n",
       "      <td>75.4</td>\n",
       "      <td>5.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4420</th>\n",
       "      <td>16.85</td>\n",
       "      <td>30.16</td>\n",
       "      <td>132.0</td>\n",
       "      <td>2009</td>\n",
       "      <td>44.87</td>\n",
       "      <td>100.0</td>\n",
       "      <td>13.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4421</th>\n",
       "      <td>16.64</td>\n",
       "      <td>43.97</td>\n",
       "      <td>133.0</td>\n",
       "      <td>2009</td>\n",
       "      <td>40.41</td>\n",
       "      <td>99.1</td>\n",
       "      <td>27.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4422</th>\n",
       "      <td>16.05</td>\n",
       "      <td>29.23</td>\n",
       "      <td>134.0</td>\n",
       "      <td>2009</td>\n",
       "      <td>42.58</td>\n",
       "      <td>99.3</td>\n",
       "      <td>13.18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MIN_N_AIRTMP_MED10  MAX_N_AIRTMP_MED10  DAY365  YEAR  \\\n",
       "314                20.68               38.82   315.0  1997   \n",
       "315                22.68               44.80   316.0  1997   \n",
       "316                21.22               31.83   317.0  1997   \n",
       "386                25.01               38.88    22.0  1998   \n",
       "387                26.26               42.16    23.0  1998   \n",
       "388                32.72               44.76    24.0  1998   \n",
       "389                24.47               41.45    25.0  1998   \n",
       "390                23.84               42.31    26.0  1998   \n",
       "391                26.97               41.41    27.0  1998   \n",
       "392                28.21               41.40    28.0  1998   \n",
       "393                22.18               42.30    29.0  1998   \n",
       "394                21.06               32.86    30.0  1998   \n",
       "1406               20.18               44.45   363.0  2000   \n",
       "1407               17.06               30.17   364.0  2000   \n",
       "1795               17.46               30.31    47.0  2002   \n",
       "1796               17.03               41.94    48.0  2002   \n",
       "1797               17.03               28.10    49.0  2002   \n",
       "2369               13.86               23.04   257.0  2003   \n",
       "2370               12.56               43.20   258.0  2003   \n",
       "2371               15.74               41.34   259.0  2003   \n",
       "2372               14.31               23.89   260.0  2003   \n",
       "2715               13.71               30.98   238.0  2004   \n",
       "2716               14.67               44.13   239.0  2004   \n",
       "2717               20.26               21.30   240.0  2004   \n",
       "3545               19.00               29.08   346.0  2006   \n",
       "3546               19.40               41.94   347.0  2006   \n",
       "3547               22.54               28.17   348.0  2006   \n",
       "4420               16.85               30.16   132.0  2009   \n",
       "4421               16.64               43.97   133.0  2009   \n",
       "4422               16.05               29.23   134.0  2009   \n",
       "\n",
       "      MIN_N_AIRMTR_PCT10  MAX_N_AIRMTR_PCT10  N_TERMAMP  \n",
       "314                35.51               100.0      18.14  \n",
       "315                62.14               100.0      22.12  \n",
       "316                62.68               100.0      10.61  \n",
       "386                50.32               100.0      13.87  \n",
       "387                65.31               100.0      15.90  \n",
       "388                77.00               100.0      12.04  \n",
       "389                78.20               100.0      16.98  \n",
       "390                69.79               100.0      18.47  \n",
       "391                69.39               100.0      14.44  \n",
       "392                58.02               100.0      13.19  \n",
       "393                51.69               100.0      20.12  \n",
       "394                51.22               100.0      11.80  \n",
       "1406              100.00               100.0      24.27  \n",
       "1407              100.00               100.0      13.11  \n",
       "1795               54.47               100.0      12.85  \n",
       "1796              100.00               100.0      24.91  \n",
       "1797               55.24               100.0      11.07  \n",
       "2369               53.78                89.3       9.18  \n",
       "2370               28.14               100.0      30.64  \n",
       "2371               77.90               100.0      25.60  \n",
       "2372               53.83                96.6       9.58  \n",
       "2715               31.42                98.8      17.27  \n",
       "2716               36.36               100.0      29.46  \n",
       "2717               80.80                87.2       1.04  \n",
       "3545               60.99                92.2      10.08  \n",
       "3546               54.61               100.0      22.54  \n",
       "3547               54.49                75.4       5.63  \n",
       "4420               44.87               100.0      13.31  \n",
       "4421               40.41                99.1      27.33  \n",
       "4422               42.58                99.3      13.18  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = ['MIN_N_AIRTMP_MED10','MAX_N_AIRTMP_MED10','DAY365','YEAR','MIN_N_AIRMTR_PCT10','MAX_N_AIRMTR_PCT10','N_TERMAMP']\n",
    "\n",
    "c1 = (data['DAY365'].isin([315,316,317]) )&(data['YEAR'] == 1997)\n",
    "c2 = (data['DAY365'].isin([22,23,24,25,26,27,28,29,30]) )&(data['YEAR'] == 1998)\n",
    "c3 = (data['DAY365'].isin([362,363,364]) )&(data['YEAR'] == 2000)\n",
    "c4 = (data['DAY365'].isin([47,48,49]) )&(data['YEAR'] == 2002)\n",
    "c5 = (data['DAY365'].isin([257,258,259,260]) )&(data['YEAR'] == 2003)\n",
    "c6 = (data['DAY365'].isin([238,239,240]) )&(data['YEAR'] == 2004)\n",
    "c7 = (data['DAY365'].isin([346,347,348]) )&(data['YEAR'] == 2006)\n",
    "c8 = (data['DAY365'].isin([132,133,134]) )&(data['YEAR'] == 2009)\n",
    "\n",
    "data[c1|c2|c3|c4|c5|c6|c7|c8][features]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By the plot above it's clearly that there are periods with thermal amplitude above 20ºC which is strange, lets check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00479374290399899"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['N_TERMAMP'] > 20].shape[0]/data.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
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       "        text-align: right;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MIN_N_AIRTMP_MED10</th>\n",
       "      <th>MAX_N_AIRTMP_MED10</th>\n",
       "      <th>DAY365</th>\n",
       "      <th>YEAR</th>\n",
       "      <th>MIN_N_AIRMTR_PCT10</th>\n",
       "      <th>MAX_N_AIRMTR_PCT10</th>\n",
       "      <th>N_TERMAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>11.29</td>\n",
       "      <td>33.26</td>\n",
       "      <td>251.0</td>\n",
       "      <td>1997</td>\n",
       "      <td>26.95</td>\n",
       "      <td>100.00</td>\n",
       "      <td>21.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>22.68</td>\n",
       "      <td>44.80</td>\n",
       "      <td>316.0</td>\n",
       "      <td>1997</td>\n",
       "      <td>62.14</td>\n",
       "      <td>100.00</td>\n",
       "      <td>22.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>22.18</td>\n",
       "      <td>42.30</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1998</td>\n",
       "      <td>51.69</td>\n",
       "      <td>100.00</td>\n",
       "      <td>20.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>7.63</td>\n",
       "      <td>27.87</td>\n",
       "      <td>110.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>45.90</td>\n",
       "      <td>98.50</td>\n",
       "      <td>20.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>7.05</td>\n",
       "      <td>28.73</td>\n",
       "      <td>222.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>22.98</td>\n",
       "      <td>94.60</td>\n",
       "      <td>21.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>9.18</td>\n",
       "      <td>30.46</td>\n",
       "      <td>223.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>21.26</td>\n",
       "      <td>88.20</td>\n",
       "      <td>21.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>11.49</td>\n",
       "      <td>32.05</td>\n",
       "      <td>245.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>17.55</td>\n",
       "      <td>76.60</td>\n",
       "      <td>20.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>11.61</td>\n",
       "      <td>32.04</td>\n",
       "      <td>246.0</td>\n",
       "      <td>1999</td>\n",
       "      <td>17.27</td>\n",
       "      <td>77.60</td>\n",
       "      <td>20.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>6.63</td>\n",
       "      <td>27.03</td>\n",
       "      <td>151.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>7.62</td>\n",
       "      <td>89.10</td>\n",
       "      <td>20.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>20.18</td>\n",
       "      <td>44.45</td>\n",
       "      <td>363.0</td>\n",
       "      <td>2000</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>24.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>17.03</td>\n",
       "      <td>41.94</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>100.00</td>\n",
       "      <td>100.00</td>\n",
       "      <td>24.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>10.61</td>\n",
       "      <td>31.04</td>\n",
       "      <td>206.0</td>\n",
       "      <td>2002</td>\n",
       "      <td>17.62</td>\n",
       "      <td>93.10</td>\n",
       "      <td>20.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2314</th>\n",
       "      <td>9.13</td>\n",
       "      <td>30.23</td>\n",
       "      <td>202.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>24.56</td>\n",
       "      <td>92.40</td>\n",
       "      <td>21.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>9.35</td>\n",
       "      <td>29.66</td>\n",
       "      <td>231.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>14.04</td>\n",
       "      <td>77.50</td>\n",
       "      <td>20.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>9.81</td>\n",
       "      <td>30.42</td>\n",
       "      <td>232.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>13.54</td>\n",
       "      <td>82.20</td>\n",
       "      <td>20.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>10.64</td>\n",
       "      <td>30.65</td>\n",
       "      <td>233.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>17.00</td>\n",
       "      <td>74.90</td>\n",
       "      <td>20.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>10.58</td>\n",
       "      <td>31.17</td>\n",
       "      <td>234.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>14.17</td>\n",
       "      <td>78.00</td>\n",
       "      <td>20.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>12.34</td>\n",
       "      <td>32.44</td>\n",
       "      <td>236.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>15.61</td>\n",
       "      <td>83.20</td>\n",
       "      <td>20.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>12.56</td>\n",
       "      <td>43.20</td>\n",
       "      <td>258.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>28.14</td>\n",
       "      <td>100.00</td>\n",
       "      <td>30.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>15.74</td>\n",
       "      <td>41.34</td>\n",
       "      <td>259.0</td>\n",
       "      <td>2003</td>\n",
       "      <td>77.90</td>\n",
       "      <td>100.00</td>\n",
       "      <td>25.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2692</th>\n",
       "      <td>5.86</td>\n",
       "      <td>26.44</td>\n",
       "      <td>215.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>39.59</td>\n",
       "      <td>96.00</td>\n",
       "      <td>20.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>14.67</td>\n",
       "      <td>44.13</td>\n",
       "      <td>239.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>36.36</td>\n",
       "      <td>100.00</td>\n",
       "      <td>29.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>11.85</td>\n",
       "      <td>33.71</td>\n",
       "      <td>283.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>15.06</td>\n",
       "      <td>88.60</td>\n",
       "      <td>21.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td>19.40</td>\n",
       "      <td>41.94</td>\n",
       "      <td>347.0</td>\n",
       "      <td>2006</td>\n",
       "      <td>54.61</td>\n",
       "      <td>100.00</td>\n",
       "      <td>22.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4421</th>\n",
       "      <td>16.64</td>\n",
       "      <td>43.97</td>\n",
       "      <td>133.0</td>\n",
       "      <td>2009</td>\n",
       "      <td>40.41</td>\n",
       "      <td>99.10</td>\n",
       "      <td>27.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>11.73</td>\n",
       "      <td>31.86</td>\n",
       "      <td>235.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>22.13</td>\n",
       "      <td>77.00</td>\n",
       "      <td>20.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>12.92</td>\n",
       "      <td>33.56</td>\n",
       "      <td>237.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>18.67</td>\n",
       "      <td>73.80</td>\n",
       "      <td>20.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>13.39</td>\n",
       "      <td>33.89</td>\n",
       "      <td>255.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>20.34</td>\n",
       "      <td>69.73</td>\n",
       "      <td>20.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5198</th>\n",
       "      <td>6.43</td>\n",
       "      <td>26.65</td>\n",
       "      <td>180.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>27.09</td>\n",
       "      <td>91.70</td>\n",
       "      <td>20.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5209</th>\n",
       "      <td>9.07</td>\n",
       "      <td>29.14</td>\n",
       "      <td>191.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>32.29</td>\n",
       "      <td>88.00</td>\n",
       "      <td>20.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5264</th>\n",
       "      <td>9.83</td>\n",
       "      <td>30.11</td>\n",
       "      <td>246.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>14.53</td>\n",
       "      <td>72.10</td>\n",
       "      <td>20.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5265</th>\n",
       "      <td>10.96</td>\n",
       "      <td>32.86</td>\n",
       "      <td>247.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>8.60</td>\n",
       "      <td>65.09</td>\n",
       "      <td>21.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5266</th>\n",
       "      <td>11.98</td>\n",
       "      <td>34.08</td>\n",
       "      <td>248.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>10.46</td>\n",
       "      <td>61.66</td>\n",
       "      <td>22.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5291</th>\n",
       "      <td>16.40</td>\n",
       "      <td>36.57</td>\n",
       "      <td>273.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>12.63</td>\n",
       "      <td>68.63</td>\n",
       "      <td>20.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5586</th>\n",
       "      <td>6.51</td>\n",
       "      <td>26.58</td>\n",
       "      <td>203.0</td>\n",
       "      <td>2012</td>\n",
       "      <td>29.05</td>\n",
       "      <td>99.50</td>\n",
       "      <td>20.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6019</th>\n",
       "      <td>12.15</td>\n",
       "      <td>32.57</td>\n",
       "      <td>271.0</td>\n",
       "      <td>2013</td>\n",
       "      <td>33.67</td>\n",
       "      <td>90.40</td>\n",
       "      <td>20.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6356</th>\n",
       "      <td>12.82</td>\n",
       "      <td>33.80</td>\n",
       "      <td>243.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>25.01</td>\n",
       "      <td>96.40</td>\n",
       "      <td>20.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7066</th>\n",
       "      <td>10.51</td>\n",
       "      <td>31.21</td>\n",
       "      <td>227.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>17.17</td>\n",
       "      <td>72.60</td>\n",
       "      <td>20.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      MIN_N_AIRTMP_MED10  MAX_N_AIRTMP_MED10  DAY365  YEAR  \\\n",
       "250                11.29               33.26   251.0  1997   \n",
       "315                22.68               44.80   316.0  1997   \n",
       "393                22.18               42.30    29.0  1998   \n",
       "790                 7.63               27.87   110.0  1999   \n",
       "902                 7.05               28.73   222.0  1999   \n",
       "903                 9.18               30.46   223.0  1999   \n",
       "925                11.49               32.05   245.0  1999   \n",
       "926                11.61               32.04   246.0  1999   \n",
       "1196                6.63               27.03   151.0  2000   \n",
       "1406               20.18               44.45   363.0  2000   \n",
       "1796               17.03               41.94    48.0  2002   \n",
       "1954               10.61               31.04   206.0  2002   \n",
       "2314                9.13               30.23   202.0  2003   \n",
       "2343                9.35               29.66   231.0  2003   \n",
       "2344                9.81               30.42   232.0  2003   \n",
       "2345               10.64               30.65   233.0  2003   \n",
       "2346               10.58               31.17   234.0  2003   \n",
       "2348               12.34               32.44   236.0  2003   \n",
       "2370               12.56               43.20   258.0  2003   \n",
       "2371               15.74               41.34   259.0  2003   \n",
       "2692                5.86               26.44   215.0  2004   \n",
       "2716               14.67               44.13   239.0  2004   \n",
       "2760               11.85               33.71   283.0  2004   \n",
       "3546               19.40               41.94   347.0  2006   \n",
       "4421               16.64               43.97   133.0  2009   \n",
       "4888               11.73               31.86   235.0  2010   \n",
       "4890               12.92               33.56   237.0  2010   \n",
       "4908               13.39               33.89   255.0  2010   \n",
       "5198                6.43               26.65   180.0  2011   \n",
       "5209                9.07               29.14   191.0  2011   \n",
       "5264                9.83               30.11   246.0  2011   \n",
       "5265               10.96               32.86   247.0  2011   \n",
       "5266               11.98               34.08   248.0  2011   \n",
       "5291               16.40               36.57   273.0  2011   \n",
       "5586                6.51               26.58   203.0  2012   \n",
       "6019               12.15               32.57   271.0  2013   \n",
       "6356               12.82               33.80   243.0  2014   \n",
       "7066               10.51               31.21   227.0  2016   \n",
       "\n",
       "      MIN_N_AIRMTR_PCT10  MAX_N_AIRMTR_PCT10  N_TERMAMP  \n",
       "250                26.95              100.00      21.97  \n",
       "315                62.14              100.00      22.12  \n",
       "393                51.69              100.00      20.12  \n",
       "790                45.90               98.50      20.24  \n",
       "902                22.98               94.60      21.68  \n",
       "903                21.26               88.20      21.28  \n",
       "925                17.55               76.60      20.56  \n",
       "926                17.27               77.60      20.43  \n",
       "1196                7.62               89.10      20.40  \n",
       "1406              100.00              100.00      24.27  \n",
       "1796              100.00              100.00      24.91  \n",
       "1954               17.62               93.10      20.43  \n",
       "2314               24.56               92.40      21.10  \n",
       "2343               14.04               77.50      20.31  \n",
       "2344               13.54               82.20      20.61  \n",
       "2345               17.00               74.90      20.01  \n",
       "2346               14.17               78.00      20.59  \n",
       "2348               15.61               83.20      20.10  \n",
       "2370               28.14              100.00      30.64  \n",
       "2371               77.90              100.00      25.60  \n",
       "2692               39.59               96.00      20.58  \n",
       "2716               36.36              100.00      29.46  \n",
       "2760               15.06               88.60      21.86  \n",
       "3546               54.61              100.00      22.54  \n",
       "4421               40.41               99.10      27.33  \n",
       "4888               22.13               77.00      20.13  \n",
       "4890               18.67               73.80      20.64  \n",
       "4908               20.34               69.73      20.50  \n",
       "5198               27.09               91.70      20.22  \n",
       "5209               32.29               88.00      20.07  \n",
       "5264               14.53               72.10      20.28  \n",
       "5265                8.60               65.09      21.90  \n",
       "5266               10.46               61.66      22.10  \n",
       "5291               12.63               68.63      20.17  \n",
       "5586               29.05               99.50      20.07  \n",
       "6019               33.67               90.40      20.42  \n",
       "6356               25.01               96.40      20.98  \n",
       "7066               17.17               72.60      20.70  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "data[data['N_TERMAMP'] > 20][features]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I cant see anything extremely wrong (except for the day 258 in 2003 with 30ºC of amplitude), but its important to check with Dra Ana so lets get days and years "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DAY365</th>\n",
       "      <th>YEAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>251.0</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>316.0</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>110.0</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>222.0</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>223.0</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>245.0</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>246.0</td>\n",
       "      <td>1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>151.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1406</th>\n",
       "      <td>363.0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1796</th>\n",
       "      <td>48.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1954</th>\n",
       "      <td>206.0</td>\n",
       "      <td>2002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2314</th>\n",
       "      <td>202.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2343</th>\n",
       "      <td>231.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2344</th>\n",
       "      <td>232.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2345</th>\n",
       "      <td>233.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2346</th>\n",
       "      <td>234.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2348</th>\n",
       "      <td>236.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2370</th>\n",
       "      <td>258.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>259.0</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2692</th>\n",
       "      <td>215.0</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>239.0</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>283.0</td>\n",
       "      <td>2004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3546</th>\n",
       "      <td>347.0</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4421</th>\n",
       "      <td>133.0</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4888</th>\n",
       "      <td>235.0</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4890</th>\n",
       "      <td>237.0</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4908</th>\n",
       "      <td>255.0</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5198</th>\n",
       "      <td>180.0</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5209</th>\n",
       "      <td>191.0</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5264</th>\n",
       "      <td>246.0</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5265</th>\n",
       "      <td>247.0</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5266</th>\n",
       "      <td>248.0</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5291</th>\n",
       "      <td>273.0</td>\n",
       "      <td>2011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5586</th>\n",
       "      <td>203.0</td>\n",
       "      <td>2012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6019</th>\n",
       "      <td>271.0</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6356</th>\n",
       "      <td>243.0</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7066</th>\n",
       "      <td>227.0</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      DAY365  YEAR\n",
       "250    251.0  1997\n",
       "315    316.0  1997\n",
       "393     29.0  1998\n",
       "790    110.0  1999\n",
       "902    222.0  1999\n",
       "903    223.0  1999\n",
       "925    245.0  1999\n",
       "926    246.0  1999\n",
       "1196   151.0  2000\n",
       "1406   363.0  2000\n",
       "1796    48.0  2002\n",
       "1954   206.0  2002\n",
       "2314   202.0  2003\n",
       "2343   231.0  2003\n",
       "2344   232.0  2003\n",
       "2345   233.0  2003\n",
       "2346   234.0  2003\n",
       "2348   236.0  2003\n",
       "2370   258.0  2003\n",
       "2371   259.0  2003\n",
       "2692   215.0  2004\n",
       "2716   239.0  2004\n",
       "2760   283.0  2004\n",
       "3546   347.0  2006\n",
       "4421   133.0  2009\n",
       "4888   235.0  2010\n",
       "4890   237.0  2010\n",
       "4908   255.0  2010\n",
       "5198   180.0  2011\n",
       "5209   191.0  2011\n",
       "5264   246.0  2011\n",
       "5265   247.0  2011\n",
       "5266   248.0  2011\n",
       "5291   273.0  2011\n",
       "5586   203.0  2012\n",
       "6019   271.0  2013\n",
       "6356   243.0  2014\n",
       "7066   227.0  2016"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[data['N_TERMAMP'] > 20][['DAY365','YEAR']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Generating the tag if thermal amplitude exceeds p90th"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n"
     ]
    }
   ],
   "source": [
    "% time\n",
    "flag_thermamp = 'e_THERMAMP'\n",
    "flag_unique1 = 'unique_e_THERMAMP'\n",
    "# var_temperature = 'MEAN_N_AIRTMP_MED10'\n",
    "percentile = .90\n",
    "# Getting index CTX90pct\n",
    "fv = cli.get_heatwave(data, flag_thermamp, hw_name = flag_unique1, percentile=percentile, index = 'CTX90pct',max_tmp_name = 'N_TERMAMP')\n",
    "\n",
    "\n",
    "# Getting COLDWAVE index CTN90pct\n",
    "percentile = .1\n",
    "flag_minhum2 = 'e_minhum'\n",
    "flag_unique2 = 'unique_e_minhum'\n",
    "fv = cli.get_coldwave(fv, flag_minhum2, cw_name = flag_unique2, percentile=percentile, index = 'CTN90pct', min_tmp_name='MIN_N_AIRMTR_PCT10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
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fkANUTC7lnC8dR7gnyk3n/J41r27a4ZxwT4Sn7ltB08rNe7WtItng+Yff4Nvn/S/Ln3ib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TN36jPGDAIboue+BkzhNoJYBay31j5Q0/YlwOuAXwATwCBud9lp4APW2l31Dlr3pBNffK/Hbyr5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L6ACeB0TAm6y1Y9Pa9gH/iCv6fRUoApcAg8B7rLW3TmubAv4eOAO4HtgLPBrYDvybtfZ/z3XQ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\nT5s2baJWNc/uus+DnPsUMHOQ2V0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dWC0Xf4YSvhVapQbinC/ipNbB2Bdg7vYQW31ohZ0w\n/EFIrvYXd7L3AS7ex5xfx8rx7wZUfo/bL1keEhm/v/n7/MWk5GoYvib+fzS44qi/EJbog+SqJY6z\nQCkL5apx5FzStxouTcHO99f8Us2Wf1ailF7pCJ1b4r4skMYX52pZF+DkQ7zeufHt92rdQBFpAuUy\n3PB//RhzUeQLdA7/ez4XN4WOoGxQKiycAOdzPslHzre8c853f/369b5lXkCVL/fN0upG5Kg3PQU3\nfcW31F30ufzKI/7aZFsm49eb2fc6YFtbG2bGV77ylbpt7qOlHLQME9+Kx/xZNH5NOedbNbk2wO1b\nTKlIDcL0T33XHWlN0z/0X0ATfYvuKMVdp9MQpaCwfb7nHoVdgPkv3eU533oI/JhTxbE45lg65pKD\nMHmzLy43KOUfOSzlLIx9yY/Ltjh2CnEbokS7/5xUPjMVLg1EMPblumzqso1/w7cGjDp8sdFyvvBu\nJX/8IR5iwbL4L0EJsDn/WBf5Ip2V466vccEy6vCPn/hmuP2q1cTNcaFxUeGsnI+7+6f9fua37//Y\n1CDM/gJyD9b0Us2Wf1ZiZMHKGckZwK2Vhc65NHBK/OcAcB+wHV8KPt0552zfvrePj29XH+iFnHMp\n/Ph1e4Bf17qBleaWIvWm2FuGsVHYtQPWHuMT9Nx03Iou4e9PpHwhrpI1kgn/u5lfpy3jx6hzEXR2\nw/AO2LltfiD4ECYnJ+nv72dsbCxod1eREBoy/rY+7Fvgrtr/yurt49N0t6WJkkkoFSE7B937dpnv\n6enhtttua8x9W0LoHBTast6nmTuADJQXXc8uZYEEkPK3xZn916ENSMLsfZBsjkH95QibvRcsAkvM\nn6eULfJftsvmC27O+XiyElgKitNAKn5MAkpzEK2K10n6L+9Efr39Yq7dv152sy9mNKBWzz+hNctx\naj/ZR/xnIXUMlBcVWJb8zCwagzrqhZnf+Iv/jWb6Nj/GaTmKP+eRbylm+fgzH3fdpQik4nEoDV/C\nie8z8MW7hH+OKPLPOX07rGqcfV4y/mbuANr2z2flrN8flwaSUJxdIuelgZQ/zqY2HfL1GyH/LKer\n+UoU6X4FbAMucM7twRfqOoGXApX/SBuAmU075/4D3xruMufcjfgofAbw+/G6mYO81h/gu8t+yw4y\nuJ5z7grgisrf73//+7nwwgvn79+4cSOTk5MUi0WmpqYqj2FoaIhsNsv09DRzc75qnUqlGBjws0Xu\n2bOHQqEAQHt7O11dXWQyGbZt20Zlc7q7u0kmk/T09LBly5b51+zv76dcLtPT08PWrQtXWtesWUM+\nn6ejo4OdOxeaqa5fv57Z2VnS6TQjIwtXyTZs2MDk5CRRFDE2ttBkXvvUmPsEMDY2Nv8hPRr2acXe\np3KZTJRgW3s3FkUwOET3zBRJBz1zc2w5ZsgX6Uol+ifHKaeS9MxMsXXdBmjvADPWjA2TT7XRUSyw\ns2cNbN8BRQu2T52dnezevZuRkZH5163n+7R3717AHyQUe9qneu9T5QTt+OOPb5x9ymbJZzrpiBLs\nbOtY2KfcLG29vbQlEnSvGYRCHlavYSaKSKX84O/pdJooiujq6qJYLDbOPh3kfcrlcmzZsoXh4eH5\n96oVYm/x8nK5fOh9GksykEpCKcGeyQyFoj9utyeLdNFFps3YNrrGf1/KdNPdXiCZMHo68mwZ7vIt\nvAvj9B87qhzRivs0UWZs1xpIdvt9GpxmfCZNsQgz48eBS+GcMdS3lexsmum5duamjgWbI5WEgY5d\nQJo9450U8ga542hvK9HVNkUmXWTbrm4q33zmYy8dseXhPZDZ3JDv0+rVq9m+fTtjY2Pzzx/8fToa\nY+8A+5TP55mamiKKoubap9EpoukOxrILhZWNg9NMzqYpzvYzNbsaXBJnOYbWJcgWUkzPpZjL+4v6\nqcgx0OdgdrZx9qnyPu1og9wqSHSzsT/B5EwvRetkaq4Nytk4R2wnW2hnOtfHXKEdKJJKlBnoHgUz\n9syup1DOQDlPe2cvXd0pMlHEtrEUVtjcELFXLBaZmPCtHBOJxELs7YmYG18NiW5SyTIDPb7H057x\nPgozGyBK056aoys9SaYtYtvezn3zHh30lIwtmzcfcp8GBgZ44IEHSCQSbK5av545YtOmTdSq5okj\n9nnQQSaOiO8fBN4CPK5q8d3AncDFwHvN7NZ43TTwOuCZLHS/HQa+CFwG3GhmnzzA67wHOBN4zTLG\nzNPEERJMUw/aWm9mcOl/heGd0L8aHvwdDO+GTMZ3W52bgSgBpZJfP4r8YzLt0N4OuRz09sGpZ8D0\nJCSS8H+/vc+YU/VWLpfZsWMHxxxzTJAYUPxJSA0Zf3Oz8GfnQSoFHft2a7zm7gf57EPbGGpv8/nk\n8Wftt8727dt56Utfylvf+tZ6bvVhC52DQltWDO79POz+X5AeWvQkeT9jp0v6AayTq6D9tH3Xsbzv\nEnvSNxp6IH9ZQVM/gK1vhtSx8130yuUIKBPN3kLc9N+3qOv4fd9CJrcF8lv8QOnlLHT8np8oopyF\nmZ/7ViWWh9RaP0h+tXLWd/U7+Ts+JhtQq+ef0BryGFyLch4eOD+esbV73/sO9Jmplt8OfS+EY/6m\nfttcqz3XwfCH/HGmMlGCywAWj0/p8J0ODV8mcUApvo27wib6fK+hctbPdJvsh/w2GHwzDLwi1J7t\nZ8n4G70Bdr13/+OsFfxxlkR8nO3z+7bPOvFETSd+FdIbanr9Bsg/R37iiOUws2EzewdwCfAu4HVm\n9k4WWu5tq1o3b2YfAf4ceAdwOXApsHfxutWccwP4At2dyynQiUiTcA4ufBnMTvtC3OD6+FhV9oU2\n56Bc8sW5ZDIeWBVoa4ubf5vvKmsGE+PwgouDFugApqen2bBhA9PT00G3Q0Ri7R1wwYthbC8sumj5\nwuPWEuH8FdGe3v0KdHNzczjneOELX1jPLX5UlIOWofc8P3h3adGcZFHaj4VjOX/cSR2z/2MLw9B1\njgp0razrKZBcC6W9i+6IfOHO8lAu+C+nla9tqbWAg9KsHwsxiosNUcYPBm/xEN6L48rMf1ntvaBh\nC3Sg/COHKUpD/8VQGt3vOE1qEP+ZmfPjmkWLCnTl+DPTfyENqfc5vht7adoX26IOnxtcFHf1jL/b\nuHZ8oa4U/46/L4rHbCvnIWr3z1Ga9s/Z95ww+7QcvefG4/FN7rvcpXz+nD/OLjFsRGE3dJ5dU4EO\nmi//rGgZMS7W3WVmldH+zgJ2AfuNeGpmU2Z2j5ltNrMy8ER8NN52gKd/Bv6wpgkjRI5W5z4Pzj7H\nTwCBg/Ub/MQQxSIkU/5gnW7zrWAMf1sq+pZ2g+t8q7odW+G034MXhZ+KvKenBzPTWCwijeTPLoHH\nPM7niuzc/OITMinetK6XkZIx2r9m/ipwuVxmdHSUkZER3vjGN3LSSSeF2vJlUw5ahuQqWPe3/stD\nYWThQpCZL5jgfCFl/gsT/gthfqufUbjTEDwAABZOSURBVHDdW4JstjQIl4Jj3+vjpbDTt/oAfMuX\nXn9/1AZR1XiYLhFPNGGQGGRhBkeDxEC8vIt41CCvnIXCVkhvgsE31mPPDpvyjxy2VS+D9jMh/4if\nIKLCJSHRD67sJ0+p/swUx6C4GwYugcxpSz5tcKk1sO7dvtVcaS+0nbzQKq7Stskl8WOgxhNHkFq4\nj5QvUDrnH1va61vUrns3JAcC7NAyJXrgmP/hC4uFYT8+J8TH2X4ggkTHouNs3h9nkwOw7h01v1Sz\n5Z8V6e56gMecB/wV8DEzu+kQ624CPgDcYmZLzmHvnPsX/Bh3rzCzfK3bAeruKuE0bVPzkPJ5+MKn\n4cYvwNSE77q6d48vyHV1w+SE//LU2w+zM5DL+u6xvf1+8ogLXgwvf91+rWBCKJVK3HvvvZx66qkk\nKhNg1JHiT0Jq6PibnIDPXAs3fdVPJBEPzmxnn8N3jj+Df77hKzzyyCNEUUS5XGbDhg289rWv5dnP\nfnbTzBQG4XNQaIcVg9M/geGPQ/beeDa9sm+90Xehn2Vz4lssdD9y0PMsGLzMF+pE5u6E4Y/CzC8p\n41v9R8ku6H0RkIPxr8Yt5OJB4Lv/yHd/Hb8RcpurYm69j7ncZpj6LvPdZUn4FnSDb2z4L+Wtnn9C\na+hjcC1K07Dnn2HsBn9BpDKpQvfToOOJVZ+ZhC/2pIdg9auh7/n7zwrbaKZ+CCMfh+x9vqtnYbfP\nC4lV8WQzMxDFBfzyBLjOuKV3POtzaq1veZd5DKx5g/+fNJiDxt/MrT5Pzt2zkPOSAz7nFXfHx9ki\n882Oe86FNX8F6donZmqQ/FNzINZcpHPOnQMMxn++CMgDlbl9h83s+1XrVop3D+L/o08AngL8APhg\n9SQPzrnz8ZNE3A1MA5uAZ+Fb3F1pZov6GYBz7nTgauDbZvZPNe1AFRXpJJSmP0CGlM3C/ff4ot3A\noB9LanrKjzuXSMLoHt91rbcPhnf5GV5POhU695+1MZTJyUmGhobYtm1b0NldFX8SQlPE39QkbP6d\n71a/YROsWQv4bb/33nuZmJigt7eXU089tbH34wBC56DQDjsGzSD3gB9nLuqE9sfFrRuA4qi/D4O2\nExu+UCKB5LZQzu2AKE3UcZrvwgq+8JD9HVCE1AZIx92nzSB3n4+vRDdkHuuLD+DjMLcZiFvPJPuX\nesWG0+r5J7SmOAbXojQVf2ZKkD5uofu3GeR+51vQLf7MNIPqz3zU6fehsNu3uk0N+ha54IdYKOz2\nxbzUOt/auzzjW3i3ndywBclDxp+Zz2vFEd8Ftv1x8YzWQHEccvcDZUif4FsgLlOD5J8VKdJdDZx+\ngLvvMrN3Va17PvAcYH28MY8A3wa+t3gWVufcafjx6DbiZ3IdAX4MXG9m2QNsy+X4iSauMLP7a9qB\nKirSSShHzQFSmpLiT0JS/EloikEJSfEnISn+JCTFH7ASRbqjiYp0EooSVGsrFov84he/4ElPehLJ\nZPLQDzjCFH8SkuIvvNA5KDTFoITU6vHX6vkntFaPPwkrdPw1SP4JO7uriIjsb25ujosuusjPFiki\nUmfKQSISivKPiITSbPlHLelE6ij0VQRpbYo/CUnxJ6EpBiUkxZ+EpPiTkBR/gFrSiYg0nmKxyE03\n3USxWAy9KSLSgpSDRCQU5R8RCaXZ8o+KdCIidZLNZrniiivIZpecE0dEZEUpB4lIKMo/IhJKs+Uf\ndXcVqSM19ZWQFH8SkuJPQlMMSkiKPwlJ8SchKf4AdXcVEWk8hUKB66+/nkKhEHpTRKQFKQeJSCjK\nPyISSrPlHxXpRETqJJ/Pc80115DP50Nvioi0IOUgEQlF+UdEQmm2/KPuriJ1pKa+EpLiT0JS/Elo\nikEJSfEnISn+JCTFH6DuriIijSefz/PJT36yaa7iiMjRRTlIREJR/hGRUJot/6hIJyJSJ802HoKI\nHF2Ug0QkFOUfEQml2fKPuruK1JGa+kpIij8JSfEnoSkGJSTFn4Sk+JOQFH+AuruKiDSeXC7HNddc\nQy6XC70pItKClINEJBTlHxEJpdnyj4p0IiJ1UiqVuOWWWyiVSqE3RURakHKQiISi/CMioTRb/lF3\nV5E6UlNfCUnxJyEp/iQ0xaCEpPiTkBR/EpLiD1B3VxGRxpPL5bjqqquapqm1iBxdlINEJBTlHxEJ\npdnyj4p0IiJ1Ui6X2bZt2/zVJBGRelIOEpFQlH9EJJRmyz/q7ipSR2rqKyEp/iQkxZ+EphiUkBR/\nEpLiT0JS/AHq7ioi0niy2SxXXHEF2Ww29KaISAtSDhKRUJR/RCSUZss/KtKJiIiIiIiIiIgEpu6u\nInWkpr4SkuJPQlL8SWiKQQlJ8SchKf4kJMUfoO6uIiKNZ25ujle/+tXMzc2F3hQRaUHKQSISivKP\niITSbPlHRToRkTqJooihoaFWv4okIoEoB4lIKMo/IhJKs+UfdXcVqSM19ZWQFH8SkuJPQlMMSkiK\nPwlJ8SchKf4AdXcVERERERERERFpHirSiYiIiIiIiIiIBKYinYiIiIiIiIiISGAq0omIiIiIiIiI\niASmIp2IiIiIiIiIiEhgKtKJiIiIiIiIiIgEpiKdiIiIiIiIiIhIYCrSiYiIiIiIiIiIBKYinYiI\niIiIiIiISGAq0omIiIiIiIiIiASmIp2IiIiIiIiIiEhgKtKJiIiIiIiIiIgEpiKdiIiIiIiIiIhI\nYCrSiYiIiIiIiIiIBKYinYiIiIiIiIiISGAq0omIiIiIiIiIiASmIp2IiIiIiIiIiEhgKtKJiIiI\niIiIiIgEpiKdiIiIiIiIiIhIYCrSiYiIiIiIiIiIBKYinYiIiIiIiIiISGAq0omIiIiIiIiIiASm\nIp2IiIiIiIiIiEhgKtKJiIiIiIiIiIgEpiKdiIiIiIiIiIhIYCrSiYiIiIiIiIiIBKYinYiIiIiI\niIiISGAq0omIiIiIiIiIiASmIp2IiIiIiIiIiEhgKtKJiIiIiIiIiIgEpiKdiIiIiIiIiIhIYM7M\nQm9D3TnnrjCza0Jvh7QmxZ+EpPiTkBR/EppiUEJS/ElIij8JSfFXu1Yt0m0zs6HQ2yGtSfEnISn+\nJCTFn4SmGJSQFH8SkuJPQlL81U7dXUVERERERERERAJTkU5ERERERERERCSwVi3SqS+0hKT4k5AU\nfxKS4k9CUwxKSIo/CUnxJyEp/mrUkmPSiYiIiIiIiIiINJJWbUknIiIiIiIiIiLSMFSkExERERER\nERERCUxFOhERERERERERkcCSoTegXpxzDng+8GxgLTAO/Aj4NzPLhdw2OTo45waBTx3g7t+a2dsX\nrf/7wMXAJiAP3AH8HzMbXsntlObnnLsIOCn+GQQeMrM3HWT9U4CXA6cAZeC3wL+a2cNLrLsK+Avg\nLCADbAG+bGY/PbJ7Ic1sOTHonLsaOP0AT/UaM9u5aH3FoByQc+5E4I+Bx+PP58rADuCbwA9s0WDL\nyznWOueOBV6Fj9cE8ADwOTO7c4V2R5rMcuLPOfcpfH5cygvNrLTouRV/clDOuTX487mTgFVAChgB\nfgn8u5mNLlpf+U+OqOXEoHLg4WuZiSOcc68BngfcAvwK2AA8F7gT+JvFJ3Uiy1VVpLsl/qk2bma3\nVa17NvBO4CHgJqATeAFQBN5sZmN12WhpSs65rwNT+IPXY4GdBymQnAJcDewFvhEvfi7QC7zFzLZW\nrdsNfDC+76vxY56OP1heY2bfX5EdkqazzBi8GjgO+OQSd99iZtmqdRWDclDOubcDTwB+CmwG0sBT\n8XH4XTP7SNW6NR9rnXPrgQ/giy43AjPAecBG/Hnib1Z856ThLTP+PoUvjHxpiadaXNBT/MkhOedO\nBv4SuBfYA5Twx9dzgVngTWY2Ea+r/CdH3DJjUDnwMLVEkc45dxzwMfyXgaurlj8PeA3wP83sx6G2\nT44OVUW6z5vZ5w6yXjJerwS8ofIF1Tl3AvAh4Ntmdm0dNlmalHNunZntin//FDBzkALJNcAQ8Hoz\n2xsvWw1cC9xjZldVrfsq4ELg78zs5/GyCPhHfIuBv1TLY4Flx+DVwKCZXVLD8yoG5aCcc48FHjCz\nQtUyB7wPX8z9KzPbstxjrXPuHcBTgMvN7MF4WQb4JyBrZm+oyw5KQ6s1/uLlnwKGzexdNTyv4k8O\nm3PuqcA7gE+b2VeU/6TeFsdgvEw58DC1yph0Twcc8LVFy28CcsA5dd8iOao559LOubYD3H06vnnw\nzdUtSOKEdCfwtPhLqciSKsWRQ4mvSp0M/LhSoIsfvxf4MfBE51xv1UOejm8R9fOqdcvA14EefPdD\nkZpjsJrzOuIvtAeiGJSDMrPfVhdI4mWGb9kE/qo7LONYG38R+APgzsqXg3jdLHAzsCHu5igtbhnx\nN885l3DOtR/oORV/cgRUuq92xrfKf1Jvi2NwnnLg8rVKIeBkwID7qheaWR54ML5f5Eh5EXAD8GXn\n3KedcxfHV7QqKvF27xKPvRfoAtav8DZKazhYrP0Of/HiRJgfB2x1vHypdaufT2S5VgNfBr4IfMk5\n9864iDxPMSiP0ur4diK+Xc6xdhN+XJ0DrVv9fCJLWRx/FY/B574vOee+4Jx706KLY6D4k2VyzqWc\ncz3OudXOud8DKq2MfhnfKv/JiqohBiuUAw9Dq0wcsQqYXHzlK7YXeKxzLoqv1oscLgN+A/wM2A30\n4VuFvAw4yTn39/HV1lXx+nuXeI7KstXA9pXdXGkBlS8Nh4o1qD0uRZZrN3AP8DB+rJHHAhcAj3fO\nvaVq4gjFoByWuMB7Pv5K/t3x4uUcaxV7ctgOEH8Aj+BbgWzFfwF9AvAn+Nz3ZjObitdT/MlyPQ24\nvOrvYeAfzaxS0FD+k5V2qBgE5cDD1ipFujZgqQIdVcvTQPYA64gckpmNAH+9aPHNzrm34RPZk4Cf\n4+MRlo7JyrIDdZUVWY6DxVp+0TrLWVekZmb2oUWLfuKc+zXwHvwsrpWxYhWDsmzOuRR+cPQO4Goz\nK8Z3LedYq+OyHJaDxB9m9p5Fq/+nc+4+4I3An+LHDAPFnyzfbcB/B9rxLYz+gH27GSr/yUo7VAwq\nBz4KrdLdNYev3i6lsjx/gPtFHq0vxreVsZQqg54vFZOpReuIPBoHi7X0onWWs67Io2JmvwbuZ98x\n5hSDsizOuQR+oOpTgY+Z2R1Vdy/nWKvjsizbIeJvSWb2HXyX2Fpzn+JP9mNmo2Z2u5ndYmafwU8G\n9nrn3LPiVZT/ZEXVEIMHepxyYA1apUg3CvTEV7sWWw2MqaurrKDKQJo98e1ofLtUs92DdU8UWa6D\nNRFfHGuKS6m3YaCtapIdxaDULB70/K34q/efMLObF62ynHhS7Mmy1BB/BzPMwjkhKP7kUTKzu4A9\n+K6EoPwndbZEDB6McuAhtEqR7n78AOmPqV7onEsDJwAPhNgoaRnHxLfj8e398e2pS6x7KjAD7Fzi\nPpHlOlisnYIfR3Ez+Cti+APgKQdYt/r5RI6EY4CsmeVAMSi1i2cIfgvwVODTZvb1JVZbzrH2YXyX\nmgOtCzpXlFiN8Xewx65j4ZwQFH9yZLThJ4QA5T8JozoGl6QcWJtWKdL9CP9l9PmLlp+HD6Yf1HuD\n5OjjnOteYlkE/Hn858/j27vwVwyeFU85XVn3eOAM4Edq2SlHQjwg//3AU+OBrYH5Qa6fCtxmZtUz\n0f0QWO+c+y9V60bA84Ap4Nd12XA5ajjnOuMYWrz8j4DjWciLFYpBOaj4BP9y/FivnzGzrxxg1ZqP\ntWaWxcfiGfH9lXUzwLOAbWbWUl8QZGm1xt9S54SxFwPdVOU+xZ/UyjnXd4DlT8PH1X3xIuU/WRG1\nxqBy4KPj/GSTRz/n3GuB5wK34KcG3oA/6b8beLe1yj9CVoxz7kr84Jn34pv79gJ/hJ9W+v+Z2Qer\n1n0q8HbgIeAm/IDDLwRKwJvjFiUiS3LOnQMMxn++CD+m5jfjv4fN7PtV6z4WeB8+Jr8RL34ufvbh\nt5rZlqp1u4EP4ZugfxXfqulp+BO6D5nZf6zUPklzqTUGnXN/CFyCP/nahb9gdio+rkbxMbin6nkV\ng3JQzrlL8MfL+4GlWjA9ZGYPx+vWfKx1zq0Hronv+yowi7+YuxG4ysxuX6FdkiZSa/w5514AnAv8\nCj/DdWVmwycBW4B3mNlM1fMq/uSQnHOX42PiNuIhI/DH1KcAY8DbzGw4Xlf5T464WmNQOfDRaaUi\nXQS8AP9mr8UPWPhD4HNx9VbkUXHOnQs8AxjCN/Ut4Jvvfhf43uJCsHPuScBL8K1JCvhk969mtruO\nmy1NyDl3NXD6Ae6+y8zetWj9x+JbdD4GXyS5B98C4MElnns1fsbNs4AM/kB6g5n9+IjtgDS9WmPQ\nObcBeClwEtAPJIAR4BfAlxa15Kw8t2JQDugQsQfweTP7XNX6NR9r43h9Zfz8SfxwAP9mZr85cnsg\nzazW+IuPu/8VP6xOZeylXcBP8flsv+8eij85lLiV+bOAE/GNAQxfAPklPq4mFq2v/CdHVK0xqBz4\n6LRMkU5ERERERERERKRRtcqYdCIiIiIiIiIiIg1LRToREREREREREZHAVKQTEREREREREREJTEU6\nERERERERERGRwFSkExERERERERERCUxFOhERERERERERkcBUpBMREREREREREQlMRToRERERERER\nEZHAkqE3QERERETqwzl3NXAqUATKwCywGbjJzH4RcttEREREWp2KdCIiIiKt5d/N7LMAzrle4CnA\n251zX6ssFxEREZH6U5FOREREpEWZ2QTwLedcAbjMOfc9YAB4BXAsfmiUzcCnzOxB55wDPgl8zsz+\no/I8zrkXAX9sZv/NOXc88Brg+PjuXcA/mNn2uu2YiIiISBPSmHQiIiIi8p/x7RPwXWE/jS/UvQrY\nCbzbOZc0MwNuAs6rPDAu3J0PfCde9HrgDuBl8c9HgJk67IOIiIhIU1ORTkRERKTFmVkemAR6zOy3\n8U/RzOaAfwXWAEPx6jcDJzvnjov/PgNYBfwg/rsIDAKDZlYyswfNbLxOuyIiIiLStNTdVURERKTF\nOefSQA8w6ZzbhG9FdyLQjp9gAqAXwMzGnXM/xbee+xfg2cAP4oIewIeAlwB/75yLgJ8AnzWzbH32\nRkRERKQ5qSWdiIiIiDw9vv0N8E58F9c3mtmfAq+O73NV638beIZzbhD4w/hvAMxs2Mw+amZ/CbwL\nOBO4aIW3X0RERKTpqUgnIiIi0qKcc73OufOBS4EbzGwH0AnMAjPOuW7gksWPM7O7gL3AlcBDZvZg\n1XM+0zk3EI9VNwuUWGiNJyIiIiIHoO6uIiIiIq3lQufc8wHDF9EeAD5gZrfG938YX5h7Eb4Q91ng\nT5Z4nm8Br8NPDFHt8fjuspVi363Al4/wPoiIiIgcdZyfpEtEREREpHbOubOAtwGvNLNc6O0RERER\naXbq7ioiIiIiy+KcawNeDHxHBToRERGRI0NFOhERERGpmXPuOcDn4j+/FHJbRERERI4m6u4qIiIi\nIiIiIiISmFrSiYiIiIiIiIiIBKYinYiIiIiIiIiISGAq0omIiIiIiIiIiASmIp2IiIiIiIiIiEhg\nKtKJiIiIiIiIiIgEpiKdiIiIiIiIiIhIYCrSiYiIiIiIiIiIBPb/ASAVOezms1RmAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde193cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cli.plot_heatwave(fv,flag_thermamp,'N_TERMAMP',savefig = 'fig/AMPLITUDEWAVE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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VlXLu5+eS7M1w7bl/ZO2LW3aYJ9mbZukflrH+ldZ9mlalxoIn71zJt87/X559YDW53I7B\nqxeWrOX31/wDgPn/dviQ63jtmU38+YZHt5v20sOvc9dNTwNw3uUn7OVU77qTLzic6vpStqzt5Jar\nHtquG9n65W384dp/FjF1Sh249qQMessZMwD48/WP0lPQErartZcffvh2Ej3pfZjykXHhN+YTCLn8\n6j/+zoP/8/yQXXiXP97Cw7dpEE+p4ZhymAx3c88vniGbyfVP7+lI7DflhlIjTbu7KrUPHbVoGs/c\n8xrx9gSOY5hz6pQd5imtjDD9qPGsfk4CYHNOnTpirWQOnTeZ6ollrHp2M5cdczPTjhxPIOgw6dBx\nvOc/TgLgku+eTvumHpb+fhmXvuVmZhxdR93MSnIZj7b13bQsbyOVyPLNey5kymG1I5JupUYrz7M8\nfvtKHr99JSUVYQ46pp6qCSUkezNsWLmNluXbAKkMv++qU4dcx7mXHs8tX3uIh255gRlHjWfbxh5e\n/ufreJ7lnZcdz9x3HDKSuzSkSCzIFb89n2+e80f+74bHePQvKzjkuHri7QleXLKOeefNYsUTG2l9\nvau/C51Sat/bkzLonM/O5b6bn2XVvzbz6UN/xuwTJ5HszfDqUxupnVrBvPMP5fG/rSjGbu01Bx9T\nz5d+ez4/uuQOfnTJHdx69RKmHF5DaVWEbRvibF7VQfumHk59/+GccsHQD1KUUgPedcU8lv5hGY//\nbQWfOPgmZh0/kUwqy7Klr1NSEea0Dx/V3xNAKTU8GqRTah8q7LY6/ajxlFZFh5zviAXT+oN0Izke\nXTDkcu19F3HrVYtZ/lgLa57fgudZjlgwrT9I5wYc/uN372LRB4/k/v/3LCue2MC6ZVsJl4Sori/l\nhPMO5YR3zmLO/B1bCSp1oDn27IO59r6LeP7BNbzySAubV3ew/LEWACrGlzDv/ENZcOEcTrng8J2+\ndOHEdx3KvPNm8afrHuHpu18jm85x0DETaPjcXE6/+OiR3J03dPRpM/jBEx/l99csZdnS13n8byuY\nMLOSD397EedeejwXlF2P4xjKqocu95RSe9+elEGllRFueOQSbrlyMf+6dxVP37OKcZPKOOuTx3Dh\n1+fzi8/dU4xd2utOueBwDpk7kTtufJLnHpChRrycpbKuhEmHjuOdlx3Pye89rNjJVGpMmDRrHDc+\n+wluvXoJrzyynifvXEl1fRmLPnQkF12zgL9+/7FiJ1GpMccMZ+yK/Y3nedZxtKevGnmeJ11PNP+p\nYtD8N7p9deEtLFu6jusWf4ijFk4vdnL2yLJ/rOOrC25h+pHj+ekLnwI0/6ni0zyoiknznyomzX+q\nmDT/ATDs15Ef0EdJKaWUUrunq7WXzWs6dpi+dtlWfvKJZgDO+MjoafmnlFJKKaXUaKfdXZVSSim1\ny9a91MqVi25l6uE11M2sIhwNsGVNJ6v+tRnPs7z1zJmc+/nji51MpZRSSimlxgwN0imllFJql02a\nNY5zPnscy5au45VH1pOIp4mWhZh90mQWXnQEZ33imBF7CY5SSimllFL7Ax2TTqkRpP3xVTFp/lPF\npPlPFZvmQVVMmv9UMWn+U8Wk+Q/QMemUUkoppZRSSimllBo7NEinlFJKKaWUUkoppVSRaZBOKaWU\nUkoppZRSSqki0yCdUkoppZRSSimllFJFpkE6pZRSSimllFJKKaWKTIN0SimllFJKKaWUUkoVmQbp\nlFJKKaWUUkoppZQqMg3SKaWUUkoppZRSSilVZBqkU0oppZRSSimllFKqyDRIp5RSSimllFJKKaVU\nkWmQTimllFJKKaWUUkqpItMgnVJKKaWUUkoppZRSRaZBOqWUUkoppZRSSimlikyDdEoppZRSSiml\nlFJKFZkG6ZRSSimllFJKKaWUKjIN0imllFJKKaWUUkopVWQapFNKKaWUUkoppZRSqsg0SKeUUkop\npZRSSimlVJEFhjOTMeYgYCFwFFAHeMBG4C5gibXWDpr/OODfgOlAGnge+LW1duug+WYBi4CDgZlA\nCPi2tfbxnaRjPPA+4GigGugGXgP+bK1dMZx9KdTTC+k0lJdB1oFeD8ocCB2AocukJ/tf6oCTg3gP\nhMMQjUBXN7gulJbIMcvloKIcEklIpaCsFDxPviuJQSAM3TkIG4g60JUDx0CZgR4LOQsVLiQSu7d8\n1l8+ZSXdZS546YLlA9AdH0h/dxyMkfNszND7n07LPsvyWbq7uwmFQpSUlNLVLcuVlUJvH2Qysv+p\ntOxDWamso395P/0hA6XuvjtniQT0Ddp+LArBoOxzMCjnrDsu35eXyTHKZOT3wLCufqWUUkqpkZfy\noMeDEgcCZnj3ls5O7vNGK2tlHzN++t2C9Bfem0YixUuj2r9YC3Fv6Gum8JqLHCD14b5EQX0uIMem\nxIGAJ3WoUEiuwa6cXx800GsHrtm0hT4/hgAFy5tdrw+mPVk+5kDQXz5opH7e7ck85c5AmVHuys/B\n23+z5XdWHx6trJX0W3+f8zGE8jLIZqV+XloCTgjiOcm7sTfIv705iSOUuxJXGE4MJN4j8YqKcnBG\n4NoYbjX9PUhg7FHgHiSYdgrwReBI4Mb8jMaYk4CvAmuAXwElwHnADcaYy621HQXrPQ54B7AeWAvM\n2lkCjDFVwI8A10/DRqAGOBu43hhztbV22XB25p9PwG//As+8AL21kDwBzFuhtBzKQnBuBVxYDTPC\nw1nb2LYiCb/bBvd1Q0879CwFHoVIL6R6ZZ5gUDJlNgcBVzJmJiMXeDAkF4kBwnWQnAucDOEqSAfA\nIoWTh1wEAQPOSkgvAecVCKYhlSxY/jh/+WrI+MsHjPzMWrl5cY0UYgYIbYHUUjBPQzgJyT5Jczgk\nafQshPxg1SEz4IPvgXecNhCgWr0Ofv9XuOtBiHe3EW+7DZK3EQ72kHFOw4tcSDB8ENaUkM0aXBdc\nB9L+/oeDkEz726yBlL//kRooicCxMfjQODi1dO8ViM8tg9/9FRY/Iv9YehMyPRKGZKpg/7Ny3gIu\nGP+cOQ6Ul0LtOHj/O+G950BV5d5Jl1JKKaXUnlqZhD+0w91dUhntycn0sJEK8VD3lqUuTAzCRdXw\nrsp9+5B0b7AW/h6H326DFxOyL+MDUv84Ng7Nd8KdD8gD8WAQzjwVLnoXHDG72ClXY1XOwv3d8NsO\nWJ6U62hSUPLcERG4vUuuuZSVa+3scrhoHBy6nwaIn3kBfvcXWPo49JVD31zgeAg7kHoMeBhCKcge\nAd58CE4EGxmojwb8+ijI8Ur5ZVPEkUYk+L+XOHBMDD44DhbspD64LgV/bJdz0J2TQFN+vRkr5UMA\nWTZjJbAaRLZpjMyX9OvGYUeCrbZg+Xx9utSF6SH4QDW8s1LmHc2yVvLkb9thZQJ6XoLMYnBehWBK\nYggYiEyA1PFgT4JYNcRCcGqZ7OfcElmXtfBor5S5T/ZKYK7Pk26l4U5I/gPM4xDuhVQfYKXszXnS\nQCngSiB30gQpi88/W4K3+4oZ1Ahu6JmMOQx4zVqbKZhmgOuAI4DPWWvXGWMCwH8DOeAz1tqkP+9M\n4D+Be6y1Py9YRyWQsNamjDGnA19gJy3pjDHvBj4CfMta+0TB9JnAj4EHrbX/OZydPu5szzqOg/cW\nePVkCeTYOMQCcOhs6HEl+nrjFDi2ZDhrHJv+GYcrWuQCiG6FFT+EVCd4UUhvgmACHCvBHseRSHI2\nK5m8P3CXlScMthbSn4JQDdAHmXEQKJeCI4sUJq6B7ENgb4eQCzkHsi0Q9IBaSH8CQuOBBGSqt1/e\n+IVh1i90Qg7klkP2ZgjlpNDMrIdgBrASkAoEJN2OgamT5MLqS8CZ8+E7X4PnXoJLvy5BxliohZX/\n+iSJ3g14Tj2Z0OUEwodg6CbrVWACkwgGgmSyZuj9r4L0JyFUD6YP3DTMOhhMuRSOH62Bz9WCtVJq\nO7sZgr/9Prj2h4AfIFy+aiAYl85IQBJk/10/oJrN+gHVgCxXXSnHozsO06fAL6+HCeP3MDOpMcHz\n9iz/KbUnNP+pYtM8OPo90gNfXC/3TjFHggkpK/c5GeRe0Njt7y0dC7UBmBiS1hZzIvCzqVA5ynoM\n5PMfxuE7m+G2DqlEVwekohj3YNPL0PELqPegrloewKYzsK1D7uWu+yq8bUFRd0ONQVkL32jxuLcb\nQq5DlSsBne4cbMpARw4mhyRQnA84bcvK9fbDKXBKabH3YO/6v7vgup/IMQjOhuWnS686rwXSt0Eo\nCVRD5p0QmCR1u2wUzDipA+YDX0Ejwc8c8uDAWulCGDKybhc4JCJlVdrCJePgsvHbB+qe74PPvi5B\noxIHXkvJ7/kyL1/G5evDQfzt+797VuYLD9o+dqDMdJH0TApBtSutj08sgf+cMnItJnf1/2/Gwldb\n5GFGzED3XbD+TvAcOd65DRC24NX7MYRqcHrAzcHsQyEbk2PzHxMkEP3/WuGmVv9/CPIwKGfB2wiZ\nn0GwB3iDGIgxMKEW6mqhuwfeMgdu+vZAj7ZhGnaTnWEdJWvtK4UBOn+aRVrWAUzzfx6BdEO9Px+g\n8+ddDbwIzDfGOAXTO621qWGmNR8uax80fZv/c7jroWYclM2E106GQBZiSSgJSLBmzSqYHJQL74st\nA5Hs/c3WDHx5g0TQ6x1Y9XPI9kBsPNAOXgIyQTCuRI8zGWlBls3Jx5iB4JAH5C6W4F5uM1AFXhgy\nvZLBcvhR/9WQvR2yJUAZZDbIsjYCuQ+BVwLZzUCFLJ8uWD5rC34HTA9kfgWeAa8acpsgl4Gs3/ox\nH7SKRqTJ6vqNkv5JE+CBf8AvfwtXXCuF5sQ6y5qXvkIquYVo6RRM9EJyziGk0224gRg5O55sugfH\nZMgV7H/W3/+cB94HwVZCZrNk1IALr62C8pzcOP6qDf7Rs2fn7NXV8K0fS9Pe8TWwco0UxtGIfx68\ngRZ+nifnx3UlfdmsBC1jEejogo5OmDJRjsvVN8h6lFJKKaWKpS0LX26RCubEIKxKyf1fzAH8lnP5\nViT5e8uQgYgLrTmp2E4JwstJ+O7mIu/MG7irC/7UAROCMD7o9zIxUh9pvxkSHvRUyf2dMdI7YmKd\ntNpovAHWbyj2Hqix5k/tcE+X5LmagB/4MXJttWel5VWfJwEbY+TnpJDUE7/cIvXG/cXLK+E7P4GK\nMqiZAisXAQaifeDdA7YbMhEwp0JuIqS7ZCijXCVkE+B4UhfNymLk/PIoZ6VeapGAXIkLAT/oVuZC\nXQB+sw0WxwfS0puTeEMOadX4elqu/6h/fvJlnusM1IeNGfgdIFvQqtjzf0/78+V/Dzvy2ZiRZScH\n4bFe+Nl2A5GNLrdsgwe65bg4y6HlTghVQKQUshslWOeVQPZi8EKQ2wIxv/v2qyulu2VVAL6/GW5t\ng5+1St6vdOHVlMwXBbK/glwv5MaxYwzEkxhIOCTl8ZY2ad08dSK88DJ87+dvshN7YE9jp+P8n13+\nz0P8n8uHmHc5UArU7+a2nvV//rsx5ghjzDhjzKHAl4A4cMdwVxQOwuYZYB0I5AsdI0+r4j0Q74Vx\nAXm68Pfu3UztKNfcJc1iK13oXA6JzRCqglxaCiPXD1QmktJV0hhphQZSUCQSgAXHhfRUyNaCG5en\nEKmoFGDWDjS9NUBiqfziRiDRAeTACUJ6GmTrZPmcgVRMlsdKQdW/vN+KzgV6nwabBLcc0j1SaLoh\nCSim0hL1NhT8bmDDZglaVVbAL26RlmTVldDd8Tw9nS8Tjk7AUkqKebhGsnRfqgbjeBjH0puQJwCu\nK8fCs/J7ZiJkJoPTDdYPlAUCEijbslUKxaCR5rV74v/ulgBhaQlsa5dCI+TvczYr58V6kEz6feWt\nnCeDnMNkSg5kKAgbt0j6JtRKc++Vq/YsbUoppZRSe+LuTgkUVAagMye/h4zcb6X9h7UWSNqBe8P8\nfWbQQIt/T18XgAfi0kJotLEW/mebtJgJDmpT0fo0ZPugpALa/f0vVF4q95i33zdy6VVjX9bCre1Q\nFthxnKstftAm6kBrRoJ1hSpducbu7mK/cdudUqaUxKB1CmRD0nIutxEyG8EpBy8CyVng+sMo9ZVJ\nC15joDc70EouYeWaDhhptZaxA8GVtB0YsmlzRnqBhY2ci3zjiIfiEiStCchDhi5/3E2Qci6/rsL6\ncL5ccP2fIAs3AAAgAElEQVR5PH87WX/7LgPlpP98g5T/cMMxsD4j02sC8OfOgeEERpO0B79rl1bG\nroEND0jQzA1BqkPqu04AkgdBrgrcnoH6cDAo9eXWbRKEtsCNW2U9EUfyvGel/M28ArlWcKsgm5Ie\nhdvFQIx8kim/V58LLZskjeNr4J6HZDv7wm43BDfGVCPjwW0FXvInV/s/h0pufto4YJefAVlrlxlj\nfg58EPhOwVevA1dYazcNd12O8eiYBqG0ZOR+RjJtdydUxCACPNgJ51XsampHv793QqmRYFjXixLg\nCbiQ8gdIdIJgs9IltX9MuCyE/C6T2YwE6BwHsodJweUCuZhcOAG/GW7O85f3ILsMQuWAI632nKCs\nI3vwQGG30+WRwieEbJ/nwYnI9m2ff+EGJMho/ScXWLlgXVcG3O3qkXVXlMLy1+SppGMg3v4EjmsI\nBAKk7UEErMGQxjpBsiZI0JVB5zI5QzCQ63804TiSfnuIn36/6bOXkUIkHJBg2szJUOvCs73QkfGo\n2M1xUh58GKorJM3tnRAIyr6lC7q2ejm/sA74xzw30M3VepL0UEgKm54+qCqX9T35HBwyc09ylBoL\n+rvaKFUEmv9UsWkeHN0e6Cq4N83KfVXASOAg4FeQrd+1LF+BsX4rExdI5iCR8wcA9+CpODSMonF3\nPc+jJQ1rk1Af9B9IF+j8FwRCcg+btdBt5XgUqiiXHiGfuWTEkq3GuNeS0JqGyQEPY5HmVb6OrHSZ\nDCItweJZiA6KDpQYqTd+uJr9wuLHpJGGY6BzCgRyUn6k1vutWgPgTfQbhmSlXpl1IegHszJA0CL1\nYT8Q5oAsgASDbEEdNAy0Z+DgoNQHX+yVv6sC8FCXfO94cuzzZV7Gbl/mZZFzlN+mi9+rayfb9/Lj\n2PndXnM5mR4FElnIeFK2dOfguV44aQS6M+/K/99X+qA7Iy2qvQR0r4BIpdR1cz0yJr5xgdkDMYj+\nOngAgg60b4PJ46HKgaf74KQSOc7tGYknuBa8l6W8dVzIJfwYQhC8rLTUC/iRUc+Tc+m60hgmmZax\n5zsMPP08nLVwePu1K0Nt7FaQzhgTRF4OEQO+Y63N+l/lX7Uw1LOrzKB5dkcHsA54DnnRxATkpRbX\nGGOutNYOGcs0xnwReckFACcs+C4T+94tF58Hm2LTKMl049os4/vi1GyDMsfQVTmZdE+SjRt7SCSk\nGVkwGKSmpgaAtrY2MhnZrWg0SmlpKZFIhJaWFvJj/ZWVlREIBCgvL2fdunX9aaqqqsLzPMrLy1m/\nfn3/9NraWtLpNLFYjE2bBuKO9fX19PX1EQqFaG1t7Z8+ZcoUuru7cRyHjo6Bd3JMmzaN7u5ustks\n8Xg8fxyYPHkyyWQS09pDbTJBzIGqdJD2UA0RF6pL2/AmZDAB6EtE6aaUbDbCxJoWPM8ScCGeKCOV\nDNCbKmda/TpyMaAburNVkPbozpYzrXO9XCxB6KisJZhM0+3GmFKxCVzI1cDW1npiJX0kwiFqu1tx\nk3Lj1ZKZQmWqmxwOFfEOXD+otap6GpXJbgJellggjqkGIobXzWSi0STl5T2EnASkIecFae+sAQMT\nqtsIuBnp/hqOYm0pASfC+IoWyqKWmso48eoKAqEw7b0BZtRtwhDH2hDb4jUEg2nivSVMmbCagN8p\nfXNrLeFImlQ6Rm3pJugGNwmb3HrK0nKeKvpaMUDZJuipmUKsu5vWbdAW7+i/SN/sPPX0DOS9SDBI\nztbgOlBT0UZ5NEMgAF3xKO2mlHQ2Qn1dC2BxXejuLSOVCpBIlzN1wjqsByUlEE9UEQt5GMopi66n\npkIC093dI5P3Cvdpf7mehrtP0WiUdevWUVJS0p8HRnKftm2TItJxHD1Puk8jvk/5G7QZM2bsN/s0\n1s5TPB5n7dq1VFVV4fr/XMf6Pu3KecpP9zxvv9mn/ek8BTZCrQfehGnE4t2MS2WpSsfJeJDAsKlq\nMuF0kmiqh9KM7FPaDZKtqMEA1d1tVHRliDlQ4UTpLS0lHRs956mzs5OtfVlqN/dS4Y8C3ztuMm4m\nSTDRQ51JUFEFRINsTtYQNFASbsNx5DzlclHS4VLSmQirV4+OfdqVvFdVVcXKlSuprq7u/38wWvLe\n7u7TaL6e8hLjp1Ha203Upgkm4nh+F6necZOJ9CUpTfZQkkmQ9qAiFsStkn2KdLfhZDO4HhCJ0l0z\nevZpd89Ta2sbZeEMsRg4JkqYUkKZCJN6WkhjSddCb7CMdChAl1fOjN51WBdy2yAersLxPNrdcqZ3\nrJeursC20lrCXpp4MEZ916b+gFFbZT2V2T6SbojqeCtl/gs4tlROYWtbNzbkkFvfwfiMvJnVVk6j\nvLebEpslnIiT9MAaw4bKyUQzSSrTPUTTCbKA5wZpL6sha6G2p41wLkMOSASjJCOl9AUi1He2EPTP\nUzxSRiwYoDdaztTWdZRHpJVySbSKzm0e6dC+P09dXdIc03XdNz1Pm1raqNuSodyFVC5KabAUG4ww\nIdZCVa1EIOPpMlLBAPFsOTOSUs8N5iDlVJHLeuQy5ZRtWk/Ig6lJCNVWk1z1EsEpR1MX34prIJGB\nDeF6YuE+kqEQNRNapSVdDtatn0JVaTeedags6aDUD2Su2TiNcKCbSDBLbUWctlZYvXp4ZcT06dMZ\nrmG9OGK7BYxxga8BxwM/tdbeX/Ddp4AG5KUR6wct9w7g34GrrLUvDLHeN3txxEn+dr9urX22YPpU\n5O2yS4b74ojzLvHscwsdumohnNj+u2QSZh0k3QA3pOG9VXDl7nbQHcW+tB6W9MiTvPX3wprbIFIL\nmTh0r5ZXGHseeL1+SzYrrdryAydm8wMpOpA5CZz3gNsJuQjYaX502gMv5rdqA7LXSrNhUwrZ9dI9\n1A1B5nhwGsDtgFwY7PSdLI9Eyh0Dmd+C8zS44yDbBmz2xwvIgE0MPMUIBmVAx/zLE+YdI08Tnn8Z\nxlXD9Mmw6fW/8urz1xIpmUzWTqPLXo7DNjzPwXNmE3CzgEc2V4LrhnAcMzCQpAPZ44ALIdApaY5G\nIBqVrrYVpXDU4dKU2APuO8gj5OzeoNUf+Jy8jbamGl5bBxs3SQvBVBp6e/2nCzn/yY/jP0XxpIUk\n/pOUqgr5PpWGY4+Upt4tm2Qg4reftqe5So12Omi6KibNf6rYNA+Obl9pkWFmJoagJQ2rU9I9KWNl\njGiD3Et5bN/KoCrgj73kwQklUvnckIGbpo5MC5Hh8jyPeA7e9ppDubvjgO0rb4HNS+V+PGnh8Ih0\nSSu0pQ3eOgd+ecPIpVuNbW1ZOPtVqHU86T5eUP69nJAXRIT9N5IeGZXrqdCmDCwshe9PGeGE7yMX\nfFKGQBpXBSvnwuaDINILqReh5x5wKyFXC/ZC6UbpGfAmS8s2cjL+uRv066N+SzbXDIwRF/BbskUc\n6W6Z9mRMuqNjMgZdxsKDs6T76/c2w+/b5aUdWzKwIinLZa20chuqzNuuPryT7efswBBR1p9W7vrj\n5gHz/JH+N2XgjzNH5g2+u/L/d0Ma3rlKXmTi5OCJL/k97WIQXw2ZHolVZOaDc4bEEDxP6rXhsPQY\nq6uBQw+SlnMrU3B4VI7BSwnpYhx2IHE/9N0Bbg3kusG+LrGJwhgISAyhsmJgzPd5b5Veaxs2w3/d\nAHPfMuzDYN58FrFLdyn+Sx++BJwA3FwYoPPlX+owjh3lp+1uz91zkTfBPls40Vr7OtACHLkrK6t/\nTcakKwxR5nIS6KipkoxukdcT74/eXeW/jcbC+ONlzLJcGgKlkjltTqaFgv7bb5FBE62VLpWhkF9w\neBBYJk1NvQDQJ60TrZFpIWegcAkvkACa58kbWEw+iPQymJy0uiMhzY77lzcFyyPpyFkIzZM/vBw4\nfpNlLwf4XV3zseeI324zk5WXRhgDW7fB/HkSvMrmoGbCaThumFy2D5d1BNiEpRyDRzjQgbVBPM/K\n/mPI5eS45PffeQmcrAxaiX+csFKYTJwgaWnPwQVVcjx214XnSf94a2GCBOXlWAaR7qz5wjkgvxs/\nLZ6flnBY5ktnZFyTkhj09MrP+fN2P11q+FKpFNdccw2p1LDfc6OUUnuNlkFqNHt3lf8yMisv3TL+\n7wHkPs/vYbbdvWHUv69KexLQCjsynt2EIBxfspMNFVGZK11wW7M7fjfhZPmZycp4SdWDgiWeB+k0\nvO/cfZ/OfUHLn+KoCcCi0qHzXL0//lbaf2lE5aAhefJ1xfdWjUhSR8SF50Nvn1+fWi3TrIHgIWAC\n4KWALRDoABuT+mi4V+IGnvXfooocF78KhlfQ7dTz62P5seU85MEDSH3wvQX1wXycIWNlPPx8sM3F\nb3Dirz/sr8ey4/YZtP3++iADcY6IGdjOhKCsuy0Lc6Iwa0/6OO4jk0Ly9tnWjHQ/nniaBOashfC4\ngcZDwRf9eIKfb0NBf/8t1I+X33stvLsS2hMpVvz4GupsCot8FzrOH8UqA5TS34quMAbiWWkUA1L+\n1lZLI6D2TphcD8fsUgRq+IYdMjDGGOAK4BTgV9baO4eY7VX/5+whvpsN9ALDHjtukCo/GUNFIF12\nYV82boWq9VDRCslSf+wz/w2mM6ZIH+SNGXhHhbzGfX90Qom8TntDWgZLnPx2SHeCl4boRAl4uTl5\nG6j1+8RHo37feGS668oNQywN4aWQK5M3rsQ6pSBxQ/LK5HwBEz0BnAlg2yEWk5c+eBmI9UB4CXil\nEC6FaFfB8v5ZNci68oMGxw6GwNHg+YNChuuk/3gYiEX9wirfdzwlrdsm1MrgjqEgfP1yeNt8iYBb\nU8G0WZ8mnWrDy/UR5W94novjlhANtWFtBmPCxGLB/pvEaGTg5RBRC5EH5Q0zodKBlzRUlEvUfVNW\n/gm+fw//wZ1xKhw5W1q+RcLyCuhUSs5PJCyFVShUsP+O/A4DQVa/JT4zpsqYdB1dcOlHJVCn9j3P\n82hpadFxkZRSRaFlkBrN5sZgfqm0gnMMTAnJ4Ose8rZDD7nhjzFwbxlEAgyugWkhaX3S58EV4wda\nQYw2l4yDKlcGky/s0FQ2EyrmQqINpprtKzbZnNyzHncUnHrCiCd5r9Dyp3g+WSv1pa3Z7fNcpStj\nOCYtTA1JPS8va+VaPLUU5o7CgPfuOmshHHaIXE+xrVC7DpIlQAwiJ4PX49cnn5RWdE4Eoj0yVrsJ\nQixQUB81fss5pIyK+L8HjZRhCU9ab1U50mqtLgAXFoztNysM51XCxrTU3WaE5LjnX+bhIduK+efF\nSjL7t1/iDDy0iPjbz+F3ZS1YPoCM7RkyMDEgLckscPn47c/5aPLZWhlbri0LE+ZLC+PUNr9BUSnY\njMQcQo+AVw6RMlkumZReZyUlkn9nhaVX5JSAR/umFsrwqHL9FxBVQfgM8DogkoNovcRAAgUxEMdI\n7CCdlvHupkyErm7plfalT9M/LNfeNqzurn5g7AvAacAt1trbdjJfAPhvJH98xlqb9KfPAH4M3Get\nvWkny75Zd9ergHnAd621jxRMPxT4HvCEtfbbb7ozwEWf8ewrrzlkQrDlDOidKYGVmuqBgSTfVQlf\nrtuzlk+jXW8OvrUZ7uuSAM+2u6D9PimEwgnIdAy01PKsdBkN+C8oyPhvtgmFJJNaA5EGSC2UQRcj\nFZAulcIh/2auLOB2gXsLZFZJ67lQHFK9UlBEzoHUIrCBgeXzTXQtA08WAkbeUmPSEPoLpJ+QqHck\nIW9lwUqrsbR/8xMOSzQ9HJJA3XVfg7ceIQGu62+C2++HbNbSufkW2tb/DGvThEqOJRP6JJ4tJxgq\nxToTyWWd/sBfPtgVzu8/EDkLUmcAQQl6TaiTVn2zI3D9ZPnnt6ddbTo6ofEGeORpOWdt26CzeyBQ\nl/bfWBP232zj5SSYCJDJSXrq6yR90YgE6N5/3ugtoNXepV29VDFp/lPFpnlw9Et48K1NcG83ZD2p\nTG7zh/KImIGgXeG9ZdDIAONRR1qqfa0O3j4Ke8IU5r+VSfjqBliTGqhIg1QUZ94Fy5fIPTgMVBQX\nngTf/JIM46LUrnqx1+OqDbA+6/S3sDJI8G5qSLoE5mz/CDk4wNkVcHX9QKOJ/cW2drjqenjiWcg6\n0LYAuub45cyLkHoIyEDoIMieDbkoBGNAtQyy71qpU6X9VlthR+qm1u/mmvIPcIkjLdcCRrqUfncS\nTB/Uci3twQ+3yJtWM5684bU16/ciM1LG5d/gCgNvcO2vDw+x/Xw5Wbh8yEiLvrCRVnvXThzZ4QB2\n5//vv/rgqg3yQCPVBptuhuQ66QIb7IJ0wo9BnA+pUwAXKsqgtkaGfjouBtdNgtqgBEK/ugFeTEhM\nYWtWhlGwOYjcD6m/AzkI5WMg1o+B5KQxVzAodehoBMrLoPEyOGP+Lh+GYde4hxuk+xhwPtJSbqgW\ndGustWv9eU8BvgysAe5DAr7nI4G7y621+S6xGGPGA4v8P2cCJwFLgfx4douttVv9eWcB3/V37l7k\nBRJ1wDlIXv2ytXbVcHY6l/Ps8y87PPkcpJIQmgb2MEiFpO/zorKBZqkHgnUpWBKXJrjhOJgX5UII\nBPyAXFqCmAFXAkO53EDX13TG796JtB4LjwPzFgmwufhj1vk3GUG/j33Og3AL2BWQ7vO7a+aXrwFz\nFGTK/TfsIIURDDypyHoQ9lvxZYDwNrDLINkhATljJM2B/HgB/ptojzoMTjxWLrJCGzbB4kellV04\n2IlJP0Q6uR43UEIgtpC0dxBgCAYG+qIX7n/I3/9UCsLVkv50hRSYJ5TAW6IDQbC9UUGwFl5dDf98\nErrj/j77xy8Ukn1OZ/y3nfldeq0n+50/f9OnwGkn643eSEsmk1x55ZVcd911RCIj30xXK6iqmDT/\nFV+xy6Bi0zw4dryehiXdEqALI/ehaW/n95aehUMisLBs9AYUBue/nJW3Dj7bJ61cZoalDlLqwsbN\ncm+6tQ2qKmH+CTBzWjFTv+cO9PKn2DzPI2vhyYTD831y3czyr5mos/01N86FheUSvNtfWQsrVsEj\nT0G8B0ITgCMhFYVwn9SH01vAiULgKMjUyXL5xiMZTxrzWOvXR/3pKT8g5iDBsrAjrYSPib1xo4hN\nGVgcl7HpCpd3jZR7+aG4gv6Yc/kWc/ltRv20JO3OlzcGDotI68iRboi0u/9/MxYe64EXEn6vsdfB\nWwHZpNR7rZU6cKQWzNGQKpXWoSeXSkOZ/DFPJpN87WtXclHjdTybi5Dw5FiCHLNwt3/Ot0md2THS\nes44EAz49WkLs2bCgnnSw3A3DDtIN9y3ux7s/zyEgrekFvgD8rZVrLUPG2NSwPuBjyH59lngN4UB\nOl8d8MFB0xYU/P4ysNVf70pjzGXAvwFzgbOBBPA88Adr7eph7gvGSP/hfdWHeKyZFoaL81H9OgbO\n9r40AThuL62rDjh89xefVA8ffE/+r0rg3Xuepn3IGHm5yayDip0SpZRSSqm9b2oIPlxT7FTsW66R\nh7knDNGVcOIE+MDovh1VY1DAyHBHpwzxkP5AuOYKGQOzD5bPkGaMaHKoD8JF1W8+34EmaGB+mXwA\niSEcv3vrMgaOjMHcoZ4R1CGRrlFil9/uuj/wPM/qU1RVDPoUXxWT5j9VTJr/VLFpHlTFpPlPFZPm\nP1VMmv+AffV2V6WUUrsvkUjw8Y9/nEQiUeykKKUOQFoGKaWKRcsfpVSxjLXyR4N0Sik1QhzHYfLk\nyQf6UySlVJFoGaSUKhYtf5RSxTLWyh/t7qrUCNKmvqqYNP+pYtL8p4pN86AqJs1/qpg0/6li0vwH\naHdXpZQaffr6+rjgggvo6+srdlKUUgcgLYOUUsWi5Y9SqljGWvmjQTqllBohruty4okn4rpusZOi\nlDoAaRmklCoWLX+UUsUy1sof7e6q1AjSpr6qmDT/qWLS/KeKTfOgKibNf6qYNP+pYtL8B2h3V6WU\nGn16e3s566yz6O3tLXZSlFIHIC2DlFLFouWPUqpYxlr5o0E6pZQaIcFgkAsuuIBgMFjspCilDkBa\nBimlikXLH6VUsYy18ke7uyo1grSpryomzX+qmDT/qWLTPKiKSfOfKibNf6qYNP8B2t1VKaVGn97e\nXk488cQx09RaKbV/0TJIKVUsWv4opYplrJU/7jXXXFPsNIw4a+01xgw7kKnUXpNvuar578BkjKGq\nqoo5c+YU5e1Cmv9UMWn+K75il0HFpnlQFdOBnv8O9PKn2A70/KeKq9j5b5SUP98c7oza3VWpEaRN\nfVUxaf5TxaT5TxWb5kFVTJr/VDFp/lPFpPkP0O6uSik1+vT09DBnzhx6enqKnRSl1AFIyyClVLFo\n+aOUKpaxVv5okE4ppUZIJBLhhz/8IZFIpNhJUUodgLQMUkoVi5Y/SqliGWvlj3Z3VWoEaVNfVUya\n/1Qxaf5TxaZ5UBWT5j9VTJr/VDFp/gO0u6tSSo0+8XicyZMnE4/Hi50UpdQBSMsgpVSxaPmjlCqW\nsVb+DKslnTHmIGAhcBRQB3jARuAuYIkdtBJjzHHAvwHTgTTwPPBra+3WQfPNAhYBBwMzgRDwbWvt\n40Ok4QvA6W+QzOestY1vujPsXy3p0h480gt3d0FrBuqCcG4lzCuBgL68Z9QZ/BQhl4Mnn4U7HoBN\nW8BaCAYgk5PfIyFIpcHGIHIipGaBNRB8CbJPg0nAlHo490w49ihYuRruuB9WrIJwCE47Gd62ACrK\n9/2+WQsrV8Ht98Py12T7C0+CsxaA48D9S2Hxo5BIwiEz4Lyz4NCD4F8vSppbNkF5Kbz9NFh4InR2\nw10PwuPPgGfh2CNlP6dM2vf7MlzWwnMvwe33wboWOZ+hEKTTgNdKhLtJxh8BmyQcDpNIJGhvb2f8\n+PH966irq+Occ87hpJNOIhAI9E9va4e7H4SHn4RkWo5nKgWOk8XNPkqu7y5sbjOO4+A4DtlsFmst\n4XCYVCoFSNPuZDLZPz2TyWCMwXEcPM/DWjDBo3BKzidnpmE9l3BYtmO9bUS5h1T8n1ib6F+vMQbX\ndbHW9udn13XJ5XJYa7fbZiQSIZ1OY4kQKj2LjHsamEpcByzyGVcJ55wOpxwvx24oiQQseQzuXQzd\nPTBlIrzzbXDMkZK39hebtkDz36VMSKfleKTSYAwEApK/LPK3QfJfZTmcvUiumdHegn+sPkXNZuHR\np+Guv8PmNnm66TiQ9cB6yDWTBkohcjIkD4JAGI6MwnmVMDNc7D0YkM1meeqpp5g7d+525c1YtSEN\nd3bCM31yPxR2IGnl+ggCGQALjpHrxst6YCDgOmSsXE8RAykLIQPHxuQeatJOyiKl9sRYLAOtheVJ\nuKMTVqQg40HUkWsGO/Q1Z4DJIbmW5sbk+oP9r/wplK+P3dUJ23JQF4AGvz62Lg23d8KyBAQNnFoK\nb6+AcTs5BNbCcwlZZl0acpsg9BSk1wA5+V+fTAIRCM+F1BxwonKcPSvLGyP/qzygzIW3lcPCEo+E\nhXu7HR7ukfMW9ss/B3AN5PzlHX/5bMHyp5dBwsI9XfBwD/R5snzagsmBuwK8p8B2+Nt3IOdBWQmc\nOR9OPwVKS0bohKhRp9jl3ygpf4YdnRlukO7LwNHAo8AqJJh2CnAY8IC19saCeU8CvgqsAe4DSoDz\nkOv8cmttR8G8FwHvB9YDKWAWOw/SzQbqh0jePOAk4GZr7R1vvsv7T5BuUwYuWw+vJqVgDRspcD0L\nh0fgP6dAbbDYqVSFCguojk744jclyGMMtG6DbR1S6XNc+SdpAWc28BHwwsBmcO8ErxNwoSYCNR54\nnlTi0xkIuBAJy7RUWv4hfu9qmHfsvtuvbBa+/wv43zuk9IlEBraf8wYqSKEQuA4kU7JMKCQ/XT/N\nmYx8MJDNDeyLMRLccxz43EfgkvfJtGLq7YOrroelj8nfnd2wtU3OG6m7IX4N1stgTA6TW4fnpQEJ\naOXzQVVVFXV1dVhrmT17Nj/+8Y8ZP3489y6Ga34gx8/zYG2LHBeb24obvxQvswJrwWUrXq4Dz/P6\nA2dDMcZgrcVxHFzXJZPJYAnjVn4LL3g61rO4wUo8U4e1Dk7mQWz31WCTYC3GrsXLpfrTn8vlttsX\nz/MIBAJ+4M/2/wO21kLgUJzKG/GoxWJxQ1PJeTEMhopyqK+TYzZjKtx4LUyeuH3aX10NlzbC5q0Q\nDMonmZLjcuKxcP1VUFa6l09uEfzpDrjh5xKIy2Th9Ra5BqyV68PzA3SuK/sOcuM7aYJMnzhBjt9B\n04u4E2+i2Ddou2Nrm+S/Fa8BRv7u6JL/s67jX+8WeCvwASAAjicPT6Jlso5LxsHnxxe/zNrf/KEd\nfrBFKpUZC6+nIetXMF0DOYBBvwfxsEDWODgyCZB5pofk4aZr4PLxcFG1njO1d421MjBr4Tub4C+d\ncm/Xk4MNGQn8GP9j2f6aM0BNQD4WOC4G358CFW7x9mNf25CW+tiq1EB9LOXJ8Qv4QSzXSHDTAkkP\nIg58eyKcNughem8OrtoIS+OAhc7bYet9/v+aNNAm9QQzA8zHwSsFPHAngBccOBeeLE6JA1P8hw6u\n50lZ6Dh4wNqUlJ3W/3/m2aGXnxoaOM8WPxgIrEvJvtlOcH8F3uv+fUoXeP7Y/LHIwMP16kr44Tfg\n6Dn77lyo0WuslX/7yF7v7noncIm19iZr7b1+MOwrwDLgTGPMNABjTAD4FNAGfMVae7e19jbg60A1\n0rqu0N3A+6y1n/N/3ylr7XJr7eLBH2ACEgBc/P/Zu/M4ycry0OO/95xT+9L77EMzLAYFd1xQ1CBR\nuIIRMagxibmJ5hq9xghxiSHmonHB5IZEo2aRuOUajSjR4AIYBZeAAoILy7AzTM9MT+9de53tvX+8\np6p7mkF7hpl+u7qf7+fTn+quqlN13j5PPVXnqXdZZlvWhGYMb34Y7mvB1hRsTsGgB1tS5u87W+YN\nw49t76k4mCiCt/0l3HY7bNloClDzVSjkIZ1ZKGLlToD275qeTbkpiD4PzXFI90NxCOZy4A+aYs4d\ndytQuhcAACAASURBVMPsnDlpHxqAkSHYttm8mb/1/yQnmUfJP/0rfP6rsGEYtm5eeP6BPnjoYbjv\nIdObb8OQuW3LRpivmH1utc3fg/2wccQU+O6+H/bsM483PGi22bbZPN6HLzc912x7z2Vw3X/D5g3m\ng8v0LORzkFU/xJ/6c4IwT64wRNDaQ8t3yOVKRFFEvV7HdV2KxSLVapVarcbWrVvZuXMnb3nLW/jv\nmwIuvtQUJ4cHTQ9DpaCY94ln/4hm/W689FYUNZrNKqgi6XSaVqtFFEVks1na7TZBEJDL5QiCgFbL\n9OSL45hWq4XneTjlP6MZvwCicdJpj2a7RBRUybm30pp8J0GQJpcbIWiP0WorstkSWmuazSapVArH\ncWg2mwDdXoJRFJHL5Wi1Wvi+T65wDEH+72j6OTKpKbQaptmM8dwmxSLUmzA3b2L2od3wvy82xc+O\nqRl405/B1KyJq40jJk62bDQ//30z/NmlyYfXHnbtd+EDfw99JejvM7HveSYfRJHpSZhKvnDpFKtL\nBfPamZo1BbqJSXjju2Bm9hc/l1g+34c/+nOTj7ZuhlodqnXzxUc6KRZHEWRPgfZvQtCAQhMyLdh7\nL+Sb5kT1X6bhs9O2W2NUKhXK5TKVSsX2rjwmV8/Dh8bNiX+/a06SPWVOKCNMb4+0BpT53cXc3k6+\nyMxgvtQMNRRd07tlzDeP1e/CX+03zyHEevaR/XDFnBmlk1IwHppCU94xxZm2Nj1RO6+5DOb1NBeZ\n27ak4OYGvH3MvE+vlfyzWCOGN++GB9oHno9tTgpbd7RgMjS3DSXFy21p03P3HXvgJ40DH+89++C6\nqnkc/R2Y/ibk+yGbA38aAg9y2yH4fWgpyNUh7oNmAF5oPi82kp6NZdcU4SZCc8zuaZueeSXH5DsF\nFB1TcGvG4JF8KZ58pupsPx6Y7e9tw0NLt48h/gQ0d4E3DE4bmnUga75ADSIYnzSf2RpN8zlv954V\nPEBCJHot/yyrSKe1vktrHSy5TmN61gGMJpenYIpx12qtW4vu+wDwc+D5Siln0fVzWuv24e68Uuo4\nzDDZH2qte2OA8RFyXdW8IWxJPfKbXqXMm8FdLdP1Wqw+t/zUDPPcusn0mtm33wxnVMp0YXeU+UBT\nfzbggmpA/acQV8Etm/sozDCDh+uwd785oa9UTbFvsYF+8xz/+uWj05a5efjsl2Bk0Jy4LrZn3LTJ\ndWFs78L11brpeVbImx5SbdPJDK3NsNFM2pz87p888PFyyZv+P37WFDFtufcB+Nb3THEE4OE9poii\nlKYx/Q8oxwNVol7dhybEcdLUGj5RFOG6Lq1WC6UU2WyW/fv302w22bp1K3fffTfv+9sJXNe0c+9+\n085MGoL694j8e3C8rTSbTYL2BK6bwfeh2Wx1e7XV6/Xut1S1Wq3bs61er3d/b/ojtNVZuGo/ftCi\n4W/AcSPiOKQ+9U9maIpTplYbR2sfx0nTaAREUdQtzrXbbVzXxfd9Go1GdwjtAc8fnYlWgzhMUW9l\nCOM8jhPQbrWAmGzGFDfrDfMB7uE98O0fLPyfr/qWKdRtGnlknnMc8/r5wU2m2Nur4hj+4bPmtZDP\nmQJdrE08+b753XGg0TKvY8cxRftYm0LufAUqFdi0wfTy+vq3bbdo7fjeD80UAls3meLoxJR5LYLJ\nwa5jjl/9dHA00DRD0z0PlGN6Q2YcGHTh8ilzEmRboVDgxhtvpFDo3TFHsYaPT5qCXD45WYwxRYR2\nbH53gAamCOdgCnKtpFgXYU5iOz3p2rHZNgbGAlOEKDnw8SnTS0+I9WgqhM/PmmGbHqY40+lp2kpy\nmQJqi15zzeS6jDKF8whzPnJzHW5trI38s9S3K6ZH2tLzsVDD7sDkqUYMM9GB25WTnoWXTy1cd28L\nvlUxj0UbHv46pMqgPGiMm/cVXKg/HXQOnCrUXIjS4ETmfcrX5nj52uSvrGN6QN7bNnkOzO9hMlQ5\n0OY4OZjiXJDkyWDR9vX44NunHQjugHgMnCHz/O0ZcDNm2HOUfE5pNMwXisODUK/DF792FA6EEL9E\nr+Wfx9rfcCi57HzfeGJyufMg990JFDn4kNXD9aLk8r+O4GP2hCtnzZvgow3FUMq8mX5VelWsSl/7\nL3Oy7TjJENfkRDyMzEmfUkAegpPNm7ByIPgZqIz5PYrNfR0grJg5QlyX7nCspYYG4Jrvmp4gR9r3\nf2SKB7kl82FFkdmXVMoU76ZmzP1gYR/dZFjv9Iz5u94wP6kUuJ4pXi7VV4KJadML0ZZrvwdoMxx3\ndt4cD8+FONhN2Po5yh0GNH5rHEd5OApCv41SZrgp0J0fDmBqasoMSXW2cstPY4YHzf9lfMKc8AO0\n5v8DpVI4jiIKJ02cOA7ogDg2Z5Ja6wMeNwiCR8xZp5QiSv2qmbOECOgjjh0UMTqeIKj/EOWNoBQE\n7b0oJ4XjQBC0kzh1uvPPdZ4njuPukNrO8yulCJyXoajiKEUYDQExjrP4fpiYnTYxn83AlxZ9eLvi\nKtNj7NEk/0q+8Z0jc1xtuPMe04uwv2xe0xPTC8XudvJNteOY1xMszO3jdyb+UbA/eT2VCnCFfPg9\nYv7j6k7x3UxHAOZYBOFC7009CMEOUDVzv2Q6SNIp84VJs2V6ltRjuKFmpx2Lua7LySef3M1Dvej2\npinMDbjmRHEyMr1SwMybojCvk4iFoVkaU0joDDQJWRiu10qOZVqZuX1DbXrTjfnw8+ZKtkyI1eO7\nVfNayDpQjU1hzsMUyf2kyK1YeC115kML9cJrbipMpjsBrppfG/lnqSvnzP9o6fnYbGiKVG7S/vHg\nkduOeOZ9YSK57dqkg4+nYPYOiFrg5SD2IWyYYh0K/FPBqSfnDSW6825G7sJ8dGCOE5jr5kOT4zzM\ncenMW96ZT7CTM2MOvv3co2zf/iHgJtvPL8ybu3h7x1n4PD/QD//xTbtftIv1qdfyz2HPmqeUGgTO\nBiaAO5KrB5PLgw3s6Fw3BDzmjq5KqRTwAszQ2lsPZdvOmOheNulDTpm5bx5NHtjvL8xfJOzrxN6+\nCVPUchREoZmDznXNibjnmkKcLmMmuE5OznULvKy5zcFs6zqgYnOd6yaLTgQLJ/IduYyZyHZ2zvTW\nOZJm5hbe4BcLkqFGnZPcKDI/mRSEAXgps8+ddjsqKXZ55sdxzJv40sdFmdunZ+3F9viEmU/PSebO\n67QjZpqU56G8FOgQPI3nmUn1dKxwHJd2u00mk+kuwOC6LmEY4jgOqfQgut4k5cXdRQI6z6P0BJ6X\nR7kO2g1Rjpu80TgQe7iuKX5FUXTAhKid37XWeJ6HUgovtQnlRrhKg5NCuxGeF6OjWSLPw/PSoGO0\nq0m5KXActKdwHK9bZOvsf0dnTryF51fo1AAp13zq1KRxnAjHjXGIUSrEdVN4i2I2nzPF3Dg2Hwpn\n580w6UfEwCLZjOlx2at5bmbOvEY81/TCctTC0FZHgZN8KNeLXudKJa9/1xSDuv+/vHm81fq/6LX3\n3okpE5OOSubO9Mz/3AkPzNORBi+ZpEnHpledUhApiHxw0ua62cD+salUKgwMDDA7O0u5vAIrCh0F\n04H58Op2igUxpJJucW5seoFA8uUXSY+55ETUJUYlPU287oRa5r3UxRzLKDYnoylg2od4lS/IInpH\nL+XA2QBU8voKY/CS+dUibV57nfdlnbyeFCbPOUlPLEebfOfE5nxlvA1zc72ff5aa9CHHI8/Hotj8\nn1xtckkYP/I+aczt0wEMu+Z/lE4eK6wkeSnpsZ3ykiJdGsiAl3SP0R640cL8gKpzfPTC7x7mM7lH\nbHKihlSn0KrNsVUszpOP3L5z2dneS46zmls4N9ERqOTzsJOcA7iu+UwTJp/z81kz6qdWh3LpKBwQ\nsWrZzn+r4fPPoczHd1hFuqRA9qeYOtAHtdadenhnDbODfF/Qve5IrXP2LKAEfGPp6rJLKaUuAi7q\n/H3ppZdy/vnnd28fHR2lUqkQhmF3WV6lFNu2baPValGr1bpzL6VSKYaHhwHT+yUITLNyuRzFYpFs\nNsvY2Fh3AvdSqYTneZTLZXbt2tV9zoGBAeI4plwus3v37u71IyMj+L5PPp9n37593es3b95Mo9Eg\nnU4zOTnJpv1ACM6G7aSaFVAO6dpCt7nahlG8aoUhL+T++3ujTR3bt2+nUqmYxRVmF9rUi8dpaZsA\nZmdnGelz2JsHpUYpFysM9YUMlqtEEdQbin1T28ioFtlmjVK7CRqaG1LM1YZRHgxmpigXA1wH8v05\narUinptlZGSMwT5NKQdBWEJrDz8qk0vvYsMATE9BLnNk25RyHDb0z1JKin+11ihpt0LKDRndVCXl\ngUaxe3wb+WyLfLrG9o1NCllwnBTjU8Pks1DITOH2BWzfCLHOUW0UCZwspeyY+aSAaVMce6DLtBu7\nuP9+O7FXysJAUeGobRSyLTYM1CgXmkRBhUrcz8y8g9ZpNg1tJZc13R9r1Rz1eoVUKsWWLVsoFAp4\nnsfs7Cz9/f0opRga0MS5SYoZhR8OMNQX02iV2Tqym0G1kdhvMT2XwikM0GzMsXXLNqIoBN1icnJ/\ndwXWTZs2dQtm4+PjlEolgiBgeHgYx3EInAYPz2r6iy0cZ5ZiaReuGxH5DXbXFMWCQz6fI+0ci+eC\nH2omxgMcJ2J4eKhbnPN9n2q1SrPZZPv27SiliOOYRqNBGIbMqAo7tlWBNhEPMV/fjusGVGp5Rjc9\nRCqVxg8glRohk/Kpxnm2DO1bOK59m1G6QcpNk00vHKd6azsprwLaob8wS38e7r+/N3NEowZDJVBs\np5it0FdyGO6bRSkYKMCufSZHKB1SLlRxXIgixWzdxJ6Xr7FxqEkpBypOkSkPm6ElqyjvdV5PnQ9o\nO3bs6InjNNTfYGo6TSk3ydYRSLswU91OoVwh7ToM9s0SF0HXYQ+jlIIKng7ZVDNtageKlN5GqtGi\nv1ojCJrcP2O3Ta1Wi9tvv539+/d3j1Wvvec2H97H0ASUPNCDmxmoNiCVZqg2yUDy5caewe30JZ+N\nBhuzdEaajQ9up9ysgI7pb5k2xUpRH95GOmhRbtYYqjZxgSYpMsOr9/W02o+TtOmRbZqbmyMMQ+r1\n+qpvkxqbZMOseZ1VB7bTX63gOQ7lxix1s0gyDw+NUmpWSMch5VbVrJbsKqYGt1Fqtxis1yjFTYII\nhkopnKFBdu7cyczMTPd/thqP06HE3oA/TCOEQn0KJzTHKUrnKKSKpOIsW+fGCGNN0YVsXwntevj5\nMsWJXcTAcAjx4ABTtZh+XWZw325KHmzSsD89QjHtUwvyjGzch0qBVjDW2kw5bhBEaQamJ1EZUxR7\naGA7fb6p7vXXZ0krMyT1gf5RBpoV+rVPtlmljEPeVUwObqPcapFr1cgHTSIgcFPMlYbRGjbVpyjq\nAD+GipfDyRdpell2zIxRVBpHQbq/RLviUVNljtm4C7LgpmCmNkDWjYnaZTYN7CabgVIO5mojDJR8\ndJzn/vslR6ynNs3Pm8qy67pW2jQ0NMRtt92G4zjc3znRWOHjdOyxx7Jcy1rd9YANlHKBdwHPBD6q\ntb520W1vAM4F3qS13r1ku5cAbwQu1lr/7CCPeybwVh5lddeD3P89mPXU/pfWevxQ2rAWVne9YgY+\nMG4mHz0Yrc0KTO/bCuf0rey+iUfXOUm9/gaHP3mvmeuo1Yabf2p6xChl5njTABrUG0GfCMwCt4L+\nMThlc7/+PtMtvdUGda/poeb7cMpJZnL9xfZNwHNPhQ//5ZFv0/gEnPtaM6Q2vSQe77zH9HgD0yPq\nSY83v8/Ow8/vMvf3Azj1SabHitZw80/McLIogmO2wrHbD3zMWt3c7+rPmUUmbPjJ7fB7F5l51KII\nfnRb8s2ho6nsuoAo2AvOECq6Bx2Og5MF3SKOat1vUQYGBgBot9s87WlPo1gsMja2h8K2q4jYyvAg\n3PugGSKQzUJ7/qvU91+C8rYRx1Xwb8NxM8SRBuZwkgKZ4zjdN7DOENTOZadXXaCPh4F/w2HCxGT6\n2ThKE0cBTvUt6PABcEZQ8f3ocA9KZdG6jY5r3ccCuvPQLf79gOcvXUic+R0cvQftjKDdk1D4QEx/\n/wCOcmi14UlPMMM9x/bBO94Ev3me+T9/5F/gU/9uFg05GK3NvIf/9CF45lOPwoFeAWEI57zWLA7R\nVzbz683MQSZjrmu2zOs97gwbUabd/WXTA7fVgic8bmGRkf/1W/DG37XbpkfTayt7ffUas8ryts1Q\nrZkh9plMMvSnYk5SYw3q7cAGoGJuL+Qh8M3r9ulPNPP81CK45nH2VzjUWpsvGkql7nD1XuPHcM59\nphdd2TXDX2dDM79SM1qYb67znf3i39M6JgaihemRyTnmpx3DgAen5KASmfmXvnGCOckV4kjopRy4\nx4dfvw9GUqbH1E11MxwypaAaJaMlEpqF+ZMGvIW5Hp9ZSOanC+DD2+F5xd7PP0t9YRo+tP+R52N+\nDD9qLPRiOykLG5bM2zwRmOs/fax5n/9JA37vITMnXVSDH70d3JzpjV25x/TMxgN1HuinATPAAOgt\npoe3VqDzC/Nt9rlmuG0zAs8BJzb5z3Uc/GQoczumW3RdnDM1Jr96i7bX2twnrVjY/kdQ/1dgCHQT\neMDs7+LtWy04cQds3mg+s73sxfB//uSoHA6xitnOf6vk88+yn/iQ/kvJog9vw/Ri+8TiAl0imVmq\nO1fdYp3rHvMaZ0qpYUyB7ueHWqBbK17cZ+Yy2H+wPovA/tCsDHSGdCVelU5/JuzYbopn2YxZdKGz\neEI2uzAkKn9j8qabgeJTQaUhqpv7aMzqWZvzsGHQFK/yObMC6mK1hnljfe0FR6ctmzbAS19kVm+K\nlvRk3rZ5Yf687VsWru8vmxUSa3VT3OsMwVXKLNXe9s3vm0YOfLwgNAWM3/kNewU6MMvHP+2JsHfc\nDL3dvDGZIwxFduj1xHEDHbcolLagUeg4oFBId+eGy2azKKVot9sMDAxQLBYZHx9n06aNvPOPBmm2\nTHFmy8aFObBSxTNR3iaiYJxstkgq3U8UtvFSilw2SxRFKKXI5/NordFadydHjeOYQqHQ7emWTe0i\nxS1EegOe55JLTRPFLspxyQ+/Hh230HGTQmEz4BBHAfl8uluIy2azpNPp7tDWXC530OfPq6tRtIh0\nH/lsE9fxiWOPdDqD45gCXalkilMTUyZ2z3rBwv/5/P9hYmNm7pHHoFOge8Lj4NQnr8RRPzo8D37/\nVWb+Mt9PVmQmWTAkAyTDwPNZM8QyiszQEcc1Bfp8zhTlp2dNcehlZ9lu0dpx5ukmB41PmnzV32fm\nnOvMnxgl84cWfgA6ZX6yGYgjc9sxW818TZMhvHLAfoEOoFqt0tfX1/32txelHfi9IbOCpB+bk2PN\nwkToClNMyKtkeB7mpDKjFiZIzzsLJ6SZZAifBralzMnnXAj/c0gKdGL92pqGs/pgX/LZdFvavMbi\npDiTjBSnuOg1l0teL63YFKQyCvYGcEIGnlNcG/lnqbP7zGquE0vOx9IObPbMohEZZVZ1XawZm1zz\n+8MLc7g9OQdPy5v/mVeEzWeAPwfEkN1g3lt0DIWbzKXOQSEwi0ZEDmSTVXgjkiGqyhThsq45Bj6A\nhuMzJg8G2txfJdtk1cL23RWxY8gk2weYz14nLNo+/WRQgxDPQjYPqZIpJna3980X8iNDZpir58Kr\nXnb0jocQj6bX8s+ye9IpU3J8G/B84JNa6/84yH2eAvwl8Dmt9ReW3PZ+4HjgNVrrRwxKPpSedEqp\nVwK/A1ymtb5uWQ1YZC30pAPY2YI3PwzTydLaGWWKNo3YLJf+8WPguCM1uFgcEYu/Rdi9xyxF/vAe\ns2Lg2D7TO6MzH1cnRONng7ogme/hPuAq84asctCfhq2YHje1mjlhz+fMCWUUm94frgvvfiv8+ouP\nXruaTXjnB8wiEp4LxaJpR7UGlWSy9FIBykWzP7VkgYhm09y3kDNz9AXhwjbplCk6lItm+0rNfCg5\n/yXwrj9aWDTAlqkZeMufw533mn0dn4SZWYhiDfXLUc1/BDRaRxA9iCLsFq+UUjiOQ7lc5phjjsH3\nfTZs2MDHPvYxjj/+BD71BfjYZ5JvLTU8uCtZdCO4Fz3/ZpSeAJUmDnbhUAX0Ab3YOqu4Agf0quvM\nGxfHMTj96NLf4mSego7baDWC8jYALnH9X3EaHwZis330ACqZsSCO4+7jdJ4njuMDnrOzkIRSCp16\nFpT/L8opgA7Q7g6UW0ChKORNsdoPTIHu798HJ//Kgf/nm26Di95j4qVYMPOyNFvQbMPjdphtNi4p\n5vYareGyf4bPXWk+LPu+WeU4jBb1qk0+xHdWe1Uacjk4/hjwQyjm4W/fs7oLlra/RT0c9z4Ab77Y\nLOiRSpl8XU1yUczCBOn6DHBeCihw2rBtIxRHTPHnrDK8d8vqKPiskm+SHzOt4a/3wxdmTIGgHcPD\nyaIPOpkLSQFo80VXd146HZs5BnG6i0qAOaE8NmOKeRp41QC8fdMvng9TiEPVazmwHsHbxuCHdVP0\nmY1gPDTvQ3HyvtSZy6zzmnOAPm+h4D2aho8dY4p+ayX/LHVXE968G2ZCs5prOjkfq0WmV27eNedp\nxaS4WUnmZ7twA/zWkm4tUyG85WG4swXpEMY/DTO3mDlOaYKaBWLQpwCvBZVK/t4IKkM35ynorrR7\nfMYU1BpRjKsg5zrEwIPtpEfkom3QEKuFhUEWb1+JTeGt044HOtvvA/1PZn46PNCT4DTNY2UycNxo\nMid1Gj7wp/DC01fgoIhVx3b+WyX5Z9lPvKwiXVKgeyvwQuCzWusrHuV+HvAvmCL8m7TWreT6HcCH\ngWu01h97lG0PpUj3z0AZeK3W2v+lDVhirRTpwLwhXDMPX54zb57DHryi33z7tRq+tRcHWpqgqjX4\nr++bVSzHJ00hxnNNgS2OzJubHwCbIP08aJ8EbgDOLRD8CNIt2LwBXvlSeMGzzXCsL14F9z1kCkdn\nng7nnW3eII+2MIQbboF//0+45wFTTDnjufDys01voa9cDd/6nilAHDdq9vnpTzKFvSu+Bnv3m0LD\nuS+Cc840qyl+6etw009Mwe8pJ8MF55oixGr5bNdqwXf+2xy/h/cm3xgmE+TG7dvJ6CvxazeCrpFO\np2m1WoRhSCaT6Q4/HRkZ4RWveAVnn302fX0L3SDvvAe+/A244WZT1Ex5JhZcNY/yryaufxmlJ9E6\n6hbnoiginU5353FIp9O0222UUqRSKcIwPKBQp1SWOP08vOJriNQxxHGKTDIEmWAn6fhK2rXv41DH\ndV2CIOjOR9cpNnaKdnEcE8cxmUyGIAjQWpPJZGi1WjjeVrzieQTOi3G8AVAOWpsJkYcG4GVnwzkv\nhMGBg/+fxyfMishf+5b5X2zZaGLhzOcd+YVQbNEafnqHeS3c8jNoNMy3z23f/J+6C6l03rqSD9T9\nfaYn60tfBBuGbbbgl7P9Ae1wzVfg6uvhy183eSmKTE9GHSeLDKSSIvo2SL8A2idALg8n50wPumcX\nVk+xJ45j9u7dy5YtW3ruOCylNdzWhC/Nwi31pMdKMnzLJVnwQ5veJJ0iwuLhXmHSey6tTA+TnIKn\nF+A3+k1vltXyPiPWjl7MgYGGH9TgizNwb8usBppJhjtqDv6aSzuwyYMLBuFFJSgk5yNrKf8sNRPC\nN+bhK8n52EhyPvZrZbijZf5/d7VMket5RXjFAPzKo4wIacXwnaqZ2ujhFrTvhvQPIHwY4vaic4Mh\nSD8X2k8Ep7gwZLWTujrvO2UX/kcZzi3HVCK4suJwQ80UEVPJsXSV+fKvs313CLMy259dhl/vN0Od\nr5wzMXHA9g1Qt0J8I6h5cw7juaaYWy7C2WfAr7/IjJYR65Pt/LdK8s8RL9K9DjgPuBe46iB3eVBr\n/VBy39OBdwAPAtdgFpc4D1O4u1Br3RkSi1JqA3BG8udxwHOA7wKd+eyu01pPLNmXU4APAt/UWn98\nWa1cYi0V6URvsZ2ghF2VSoW+vj7m5+etrCwk8Sdskvizz3YOsk1iUNi03uNvvecf29Z7/Am7bMff\nKsk/yy7SLXd11xOSyxNZtErqIp8HHgLQWv9AKdUGXgW8DjOE/Tbg04sLdImNwG8vuW7RjETcCUws\nuf3XkstvLXPfhRBiVSiXyyznixEhhDgaJAcJIWyR/COEsKXX8s8hr+66FkhPOmGL7W8RhF1RFLFz\n505OOumk7rDRlSTxJ2yS+LPPdg6yTWJQ2LTe42+95x/b1nv8Cbtsx98qyT9HZ3VXIYQQh69er3Pa\naadRr9dt74oQYh2SHCSEsEXyjxDCll7LP9KTTogVZPtbBLG+SfwJmyT+hG0Sg8ImiT9hk8SfsEni\nD5CedEIIsfqEYciNN95IGIa2d0UIsQ5JDhJC2CL5RwhhS6/lHynSCSHECmk2m1xwwQU0m03buyKE\nWIckBwkhbJH8I4Swpdfyjwx3FWIFSVdfYZPEn7BJ4k/YJjEobJL4EzZJ/AmbJP4AGe4qhBCrTxiG\nXHPNNT3T1VoIsbZIDhJC2CL5RwhhS6/lHynSCSHECmm1Wlx00UW0Wi3buyKEWIckBwkhbJH8I4Sw\npdfyjwx3FWIFSVdfYZPEn7BJ4k/YJjEobJL4EzZJ/AmbJP4AGe4qhBCrTxAEXHHFFQRBYHtXhBDr\nkOQgIYQtkn+EELb0Wv6RIp0QQqwQ3/e57LLL8H3f9q4IIdYhyUFCCFsk/wghbOm1/CPDXYVYQdLV\nV9gk8SdskvgTtkkMCpsk/oRNEn/CJok/QIa7CiHE6uP7PpdffnnPfIsjhFhbJAcJIWyR/COEsKXX\n8o8U6YQQYoX02nwIQoi1RXKQEMIWyT9CCFt6Lf/IcFchVpB09RU2SfwJmyT+hG0Sg8ImiT9hk8Sf\nsEniD5DhrkIIsfq0220uu+wy2u227V0RQqxDkoOEELZI/hFC2NJr+cdbzp2UUscDvwo8CdgI/pMd\n0gAAIABJREFUxMBe4OvA9XpJdzyl1KnAq4FjAR/4KfAprfXEkvs9DjgDOAE4DkgD79da//AX7MtG\n4DeBpwJloALcA3xUaz2/nPasNpUIflg3lwMuPLsABRfiGG67HXaNgevCk58Ax263vbdCiMMVRRE3\n3ngjf/iHf2h7V4QQ65DkICEOXajhpjrsCyAFFF2Yj0Ap6HOgEkOkze9NDS0NGzzzeT4t3SG6JP8I\n8diN+XBrAwIN29Jwah5cBa3Y1BOmQig68KwCDCyr0rM+9Fr+WdZwV6XUO4AnAzcA92OKaacDjwe+\npbX+yKL7Pgf4U+BB4BqgALwMCIELtdazi+77GuBVwG6gDTyOX1CkU0r9CvBeYAq4HpgD+oCTgMu1\n1uPLafRqGe4aaviHSfi3GWjHpv+jBvIOnLEPbv9/8NBucJKOkbGG55wKf/7HsHmjzT0Xh0u6+gqb\nJP6ETRJ/wjaJQXGorp2Hv9kPk6E5Cd4XQFtDwTGf2Rsx5JQ5Sa7FkFawKWU+y/d78OYReHm/KehJ\n/AmbJP5623QIH9gH11XN3wrTa2qLB6cW4Ls10+GnU0/wFLxiAN66ATKr4JBL/AFHYbjrVcD/1Fp/\nTGt9tdb6P4F3ArcDL1JKjQIopTzgDZgi2ju11t/QWl8B/AUwiOldt9g3gFdqrd+c/P7oLVIqDbwD\nuAv4Y631FVrrb2mtv6S1ft9yC3Srhdbw3n3wiSnzRr81DVvS5rJ5N/zNe+HHY7BlI2zZZH42jcCN\nP4bXvx0mp223QAhxqNrtNpdccknPdLUWQqwtkoOEWL6vz8E790A9hpID46E5+c0Cc5HpTZcFqjHM\nRJBVphg3HpjCXZR81v/cjOWGrBKSf4Q4PPMRvGEXfKcKG1KL6gYpuKsNf7Xf5KQtqYV6Qp8L/zYN\n79pjOgatd72Wf5ZVpNNa36W1DpZcpzE96wBGk8tTMMW4a7XWrUX3fQD4OfB8pZSz6Po5rfVy/1PP\nBzYAn9Zah0qpTFIU7Ek/bsBVc+bFlVt0FHQMez4HKQ/mi9BctI3nmaLd2F741L+v+C4LIR6jOI4Z\nGxvrfpskhBArSXKQEMtTj+CD41B2od+F+30zoiXjmHl8NKYXSyu5BDMkKJ0U6u73TWFvyIOPTJgh\naOud5B8hDs+/z8A9bVM3SC3qi9XSMBNCRsEe3+SljmzSCei6KvygtuK7vOr0Wv55rP0Nh5LLzlxw\nJyaXOw9y351AEdh8mM/1dKABFJVSHwG+BFyplPqQUurEX7zp6vOlWfPP95Z0epy/G5r7IVM2f+9b\nskqwUjA8CF+5Gmr1FdlVIcQRksvluPzyy8nlcrZ3RQixDkkOEmJ5rquaHnRl11xWI1OA09oMd3UA\nF/O7wvztx6Zgl1bQjE3Plrxj5o76Zk/Omn1kSf4R4tD5MXxhFgZdUwdYbCIwhbmMA742PXoXc5Up\n6n1BevP2XP457J5oSqlB4GxgArgjuXowuTzYYMzOdUPAnsN4yi2Y98NLgB8AX8AsYvEq4INKqYu0\n1g8v54FWQwX1joaZYNZZsiutfWaRCM81HwQaemFOuo5iHuarsGcvnHj8yu2zeOxWQ+wJe1qtFhdf\nfDHvf//7yWazK/78En/CJok/+2znINskBsVy3dMEV5vP6a3I/O4pM2zM08nJsjYnyCmApICnYnNi\n7GpoR+A4kAHurEPct77jb73nH9sk//WmCR/mA9OLTi05hPUIUtrkG1eDn+Scxfod2Nk0C1LaZDv+\nVkP+OZT5+A6rSKeUSmEWh8gDH9RadzpxZ5LL4CCbBUvuc6hyybbXa63/btG+3Ad8ALPi64ceZX8v\nAi7q/H3ppZdy/vnnd28fHR2lUqkQhiHVarWzDdu2baPValGr1Wg2zcDTVCrF8PAwAFNTUwSBaVYu\nl6NYLJLNZhkbG6OzIEepVMLzPMrlMrt27VpoTHWAOIpxCmUKU7sXrtcjDOR8tJtnc3YfGQWlDDTa\nm/HcBnGcJpuaZKQM4/thdPt2KpUKjuMwO9tdk8NKmwYGBojjmHK5zO7dC20aGRnB933y+Tz79u3r\nXr9582YajQbpdJrJycnu9dvXcJsAZmdnuy/StdCmtXicjlabPM8jiiIefPBB0un0irdpetp8V+I4\njhwnadOKt6nzAW3Hjh1rpk29dpxmZmbwfZ8HHniATCazJtp0KMepc30cx2umTWvxOK2GNulZGK5C\namiEYssnq/Nsq+4j1maxiP19m8n5DRpums010yYNzA9vp69VoYnDyNwsJReCCLwdo8zMzBGGIfV6\nfV0ep2KxSBAE7N69u/s5uNfb1EvHyfd9qtUqjuOsmTatxeO0tE3pjdvINlrkwhop37Qp9lK0ysNk\n25CbmyKvA/wY+go5UqUiUSpLYXoMtCYVQztXYmbGbpvm5013Ytd1rRynUqlEs9mk0WiwZ89Cf7GV\njL1jjz2W5VrW6q4HbKCUC7wLeCbwUa31tYtuewNwLvAmrfXuJdu9BHgjcLHW+mcHedwzgbfyKKu7\nKqU+ipn77t1a658sue2TQFpr/dvLacNqWN31r8fh8zNmrPhitd1w6yWQGYS2A8em4Zgl96lUIZ2G\nb/wrpFIrtsviCJCVbYRNEn/CJok/YZvEoFiu71fhLbtN75W2hpvqyXxzwFxses2BKcwpFpbs60+6\nP7RjeFoeii6M+fDeLXBOWeJP2CP5rzdpDeffDxMhDC7pXrXXh/vaZv65VgxPzpsFIw64TwBnl+H9\nW1dunw9G4g84Cqu7mkc1iz68DXgW8InFBbpEZ8TzEI/Uue5w1yXtbDd7kNtmgMJhPq4VL+83w1gb\nS3p+FrZB369Ac9YcxY1LinBxDLMV+M3zpEAnRK9pNpu8/vWv737DIoQQK0lykBDLc1rRrJQ4GZoT\n4GHPzPkEZkVXnfzklLmMMPNCKUyBrs+FogOzoZnX7oUlWy1ZPST/CHHolILfHoRabFaMXmwkZYbX\nNyIoOGYqrcVaMaDhgoEV291Vq9fyz7KLdEopBfwJcDrwSa31VQe5273J5UkHue0koA7sO8hty3FP\ncjl8kNuGWVi8oieckIWLNsB0CJPBwosuBgZ+C1QZBmdA++Z6raFSg9174bmnwm+93NquCyEOk+M4\nbNu2bb1/iySEsERykBDL4ym4dJuZdH3Mh+0pyDlmNUVYWDhCJZdO8tNMFpg4LmMWf/M1fGgrFNxH\ne6b1Q/KPEIfnZQPwojKMBTAfLfTkjTUMJYloyIPO/GOxNitKT4bwByPwlLytPV89ei3/LGu4a1Kg\neyvwQuCzWusrHuV+HvAvmC+U3qS1biXX7wA+DFyjtf7Yo2z7y4a7bgc+BtyktX7fouufCbwbuFZr\n/fe/tDGsjuGuHddX4fIpuLNpetbFGp6ah/M13PpV+Nq3IExejIP98OqXwW+fDzLfam+Srr7CJok/\nYZPEn7BNYlAcqvta8Ikp+HYVwtgMOWvG0O+ak51qDAVlCnOzMWQVjHimuHd6Cf5gGE5JFhOU+BM2\nSfz1tkCbVVo/N2NWdXUwtYOzynBaAa6aN8PylTKdf07MwuuG4MXlR64Ka4PEH3AIw12XW6R7HXAe\npqfcwXrQPai1fii57+nAO4AHgWswi0uch3kvu1Br3V0EWCm1ATgj+fM44DnAd4HOfHbXaa0nFt3/\n94DzgR8DNwEbgJcCjeSxp5bT6NVUpANTgNsdQCWCAffAeermK7B3v3kR7jjGzEUnepckqPWt0Wjw\nu7/7u3zmM58hn1/5r7Uk/oRNEn/22c5BtkkMisM1FcL+ADLKDH3dF5jP5ps92Beak+ItKZiJTBFv\nxIMNj5iyZn3H33rPP7at9/hbK0IND7ZN0W5T6sB56vYFZpRe0YHR9OooznXYjr9Vkn+WfUSWu7rr\nCcnliSxaJXWRzwMPAWitf6CUagOvAl6HWdX1NuDTiwt0iY3A0sUeXrDo9zuBiUV/fxrYD5wD/AHQ\nBG7E9O5bVoFuNVLqkYtDdPSVzY8Qove5rstpp52G68q4FyHEypMcJMThGfbMT0f/ot/Lj3K9OJDk\nHyEeO0+ZXnIHszllfsQj9Vr+OeTVXdeC1daTTqwftr9FEOubxJ+wSeJP2CYxKGyS+BM2SfwJmyT+\ngKO1uqsQQojDV6/XOeuss6jX67Z3RQixDkkOEkLYIvlHCGFLr+UfKdIJIcQKSaVSXHDBBaRS0hdd\nCLHyJAcJIWyR/COEsKXX8o8MdxViBUlXX2GTxJ+wSeJP2CYxKGyS+BM2SfwJmyT+ABnuKoQQq0+9\nXue0007rma7WQoi1RXKQEMIWyT9CCFt6Lf+4l1xyie19WHFa60vUalqTWKwbnZ6rEn/rk1KKgYEB\nTj75ZCurC0n8CZsk/uyznYNskxgUNq33+Fvv+ce29R5/wi7b8bdK8s97lntHGe4qxAqSrr7CJok/\nYZPEn7BNYlDYJPEnbJL4EzZJ/AEy3FUIIVafWq3GySefTK1Ws70rQoh1SHKQEMIWyT9CCFt6Lf9I\nkU4IIVZINpvlsssuI5vN2t4VIcQ6JDlICGGL5B8hhC29ln9kuKsQK0i6+gqbJP6ETRJ/wjaJQWGT\nxJ+wSeJP2CTxB8hwVyGEWH2q1Srbtm2jWq3a3hUhxDokOUgIYYvkHyGELb2Wf6RIJ4QQKySXy3HF\nFVeQy+Vs74oQYh2SHCSEsEXyjxDCll7LPzLcVYgVJF19hU0Sf8ImiT9hm8SgsEniT9gk8SdskvgD\nZLirEEKsPpVKhXK5TKVSsb0rQoh1SHKQEMIWyT9CCFt6Lf9IkU4IIVZIoVDgxhtvpFAo2N4VIcQ6\nJDlICGGL5B8hhC29ln9kuKsQK0i6+gqbJP6ETRJ/wjaJQWGTxJ+wSeJP2CTxBxzCcFdvWY+m1PHA\nrwJPAjYCMbAX+DpwvV5S6VNKnQq8GjgW8IGfAp/SWk8sud/jgDOAE4DjgDTwfq31Dw+yD08EPvAo\nu3i91vpvltMWIYSwpVKp0NfXx/z8POVy2fbuWFWr1ahUKhSLRdLpNLOzs6TTacrlMtPT0ziOw9DQ\nELOzswRBwNDQEI1Gg0ajQX9/P1pr5ufnKRQK9PX12W7Oiqs3YL4C+Rzkcz7T09OkUin6+/uZmZlB\na83g4BDzVY8ggMF+yGRs77WwTXKQEMIWyT9CCFt6Lf8sq0gHvAJ4MnAD8E1MMe104CLgicBHOndU\nSj0H+FPgQeCTQAF4GfBXSqkLtdazix73VOAlwG7gIeBxy9iXq4E7l1w3vsx2CCGENcVikd27d1Ms\nFm3vijV33303n/nMZ7j22mtpNpvMz88TxzGFQoF2u00YhmSzWbTWtNttUqkUqVSKRqOB67pks1ka\njQYAfX19ZLNZXvCCF/Da176Wpz71qZZbd/Q9sAv+35fh69+Gem2auf1fIG58kXxmlsCfJwgCMpks\nKvsiWs4rSeWeSl9fP31lh1e8BF7zctgwbLsVwhbJQUIIWyT/CCFs6bX8s6zhrkqpxwP3aa2DRdcp\nTM+2U4A3a613KaU84F+ACHiT1rqV3Pc44O+Ab2qt/2HRY/QDTa11Wyl1JvBWfnlPur/TWn/7sFuM\nDHcV9khX3/VNa021WqVUKmFS6MqyHX833HADF154IUEQUCgU2LlzJ61WC4B2u43neTiOQxAEKKVI\npVIEQUAcx2QyGaIoSopQme7tj3/842m322itec973sO5555rpW0r4Se3w/++GJotKGb3cfetb6BZ\n20VMH+3mLjw1g+tBkP5jyL2GdDqGaIa+vjLHn3gKcxWPzSPwz38Nx2xd+f23HX/Cfg6yTWJQ2LTe\n42+95x/b1nv8Cbtsx98qyT9HdnVXrfVdiwt0yXUa07MOYDS5PAUYBK7tFOiS+z4A/Bx4vlLKWXT9\nnNa6vdyd7VBKZZVSqUPdTgghbKpWq/T19VGtVm3vyoqbnZ3l7W9/O6lUii1btnD//ffj+z75fJ44\njonjGN/3UUoRRRFhGHZ/j6IIgCAI0FoTxzH5fB6tNffccw8bN26kXC7z3ve+l4ceeshuQ4+SRhP+\n5C8hjmHLRs2uO/+CVmOMbGE7Sk+jo1mCKIeTPZso/WrCYC+umiWfz1CpzDMx/iDHbIHJGXjXB2Ad\nTkcrWN85SAhhl+QfIYQtvZZ/Hmspcyi5nE8uT0wudx7kvjuBIrD5MT7nG4ArgCuVUv+olHrJY3w8\nIYRYEaVSifn5eUqlku1dWXFXX301jUaDgYEB5ufnqdfrZDKZbnGu881as9lEKYVSikajgdYa13UP\n+D0IAqIoIp1O4/tmPrZisUgQBHzlK1+x3NKj47r/hplZGB6EeuUe5qZvIZPbBDqi1dyH46QARYPf\nQNHGVSGtZhNQZDJpxsfHCYKATSNw573w0ztst0jYsJ5zkBDCLsk/Qghbei3/LHdOukdQSg0CZwMT\nQOfj/mByOX2QTTrXDQF7DuMpQ+BHwC3ADDAMnAW8USm1TWv9z8t9oE53SyFWmsTe+hbHMXNzc+Tz\neSvdvW3G33XXXddtd61Ww3EcPM/D9308z0MphdaaMAxJpUxH6SAIur+D6SLf+YnjmHQ6jed5zM3N\nsXHjRvr7+/nOd77DW97yFlvNPGq+fxOkU+AoqM7dhuu6eF6KwJ/Dc0E5GTQlwtTjSTn7AYWOQ5QK\nSaVc4jimVp9jaGAIpeDHP4cnPWFl2yD5zz7bOcg2iUFh03qPv/Wef2xb7/En7LIdf6sh/xzK8x5W\nkS4ZavqnQB74oNY6TG7qrB0XHGSzYMl9DonW+i7gfUv242rgg8BLlVLXaq0fepT9vQizyAUAl156\nKeeff3739tHRUSqVCmEYdrtAKqXYtm0brVaLWq1Gs9kEIJVKMTxsZt2empoiCEyzcrkcxWKRbDbL\n2NgYnbn+SqUSnudRLpfZtWtX9zkHBgaI45hyuczu3bu714+MjHSHgO3bt697/ebNm2k0GqTTaSYn\nJ7vXb9++nUqlguM4zM4urMkhbVqdbQIz7K/zIl0LbVqLx+lotSmOY0ZHR7n11lu7E5euZJump813\nJY7jrPhxUkpRKBTIJEuMjo6Okk6nCYKAPXv2kE6naTQabNiwAdd1Adi9ezflcpkgCBgYGEApheM4\n7N69m4GBAVKpFPl8nlKpRKlUol6vo5RiYmJizcWe3wrZMFCllIPhvnkeTjkU8inS5QIjA6MolcIP\n8uwPfFKqzWB/k5QbUiiGtIMs8xWNQ5tS9gE29GsqczAxsbJt6nxA27Fjh+QIS23av38/J5xwwgE5\nqNfbdCjHqXN9HMdrpk1r8Tit1TbNzc0RhiH1en3NtOlQjlM6nWZ0dJSf/exnZLPZNdGmXjpOvu9T\nrVZxHGfNtGktHqe12qb5eTPw0nVdK23KZDKMjo6yZ8+ebg5e6eN07LHHslzLWjjigA2UcoF3Ac8E\nPqq1vnbRbW8AzsUsGrF7yXYvAd4IXKy1/tlBHvcXLhzxC/bnGcBfAJ/WWn95OdvIwhHCFtuTZor1\nzWb8ve997+PKK69k69atjI+Pc88995DNZgnDkEqlglKqOzed55nvj8IwxHXd7mISjuPguqZXWKlU\nIpVK0Wq1GB0dZXR0lPHxcZ7xjGfw8Y9/fMXbd7R99FPwyS/A1k0wte/b3HnL28nktxBHLeanb0Y5\naWKdJu77dzxXga4Bmv6BAQDarRZPe9rTKRaLjO2D974NXvrilW2D5D9hm8SgsEniT9gk8SdskvgD\njvTCEd1HNYs+vA14FvCJxQW6xExyOcQjda472FDYx2J/clk+wo8rhBBHVBRF3HHHHd2FENaT8847\nDzCFt6GhIRzH6RbhXNdFa41Sikwm010cIpvNorXuzj/XKeR1VnbtvOFv3LiROI4Jw5BXvvKVNpt5\n1Jz7a+bS92Fgw+mkMv2EQQXXy+Gl+9FxgNIh2fgqYvqItVkRV6HwfZ9SqUSxWKBWh3wOzniu3fYI\nO9ZzDhJC2CX5RwhhS6/ln2UX6ZRZq/ZPgNOBT2qtrzrI3e5NLk86yG0nAXVg30Fueyy2JJdzR/hx\nhRDiiKrX65x22mkHdLNeL04++WTOPfdc9u7dSxzH7NixgzAMiaKoOxTYcRxyuVy3YJfL5XAcB601\nuVyuW5jr3L/dbrN9+3Zc12VsbIzTTjuN008/3XZTj4pjt8NrXg7jk+AHGY57wtuIgiqhXyGbO5ZY\nK5Rqk1NfQcVj4Gwhk8nh+z4Axx13PNW6YnYe3vp6KBYsN0hYsZ5zkBDCLsk/Qghbei3/LGtOuqRA\n91bg+cBntdb/8Sh3vR3Tm+7FSqmvaK1byfY7gCcC12itD2vWQKVUSWtdXXJdGng1oIGbD+dxhRBi\npZTL5e7chOuNUop3v/vdlEolvvjFLxLHMf39/UxPTxPHMX19fQRBQKvVolgsorWm0WiQzWZxXZd2\nu41Sir6+PtrtNmEYMjAwgOd5TE5Ocs4553DxxRd3h8quRRf+AeSz8OkrIPRewsB2zdTDf00czVMu\njRCF4zRqD5PPXQjl91NvP4GUl2bTpo1UGwWKeXj3W+F8WRN93VrPOUgIYZfkHyGELb2Wf5Y1J51S\n6nXAeZiecgfrQfdgZ9EGpdTpwDuAB4FrMItLnAdEwIVa686QWJRSG4Azkj+PA54DfBfozGd3ndZ6\nIrnvZZgC4H0srO76QmAj8AWt9eeW22iZk07YIuPx17cwDLn55pt5xjOeYaWYtFrib3Jyku9+97vM\nzMyQTqdxHId2u43ruqRSKXzf7w5pDcOQMAy789eFYdgdEttutymXyzzvec9j69atVtu0kmbn4Pob\nYXIaUl4LN/oe7cYuPM/rrpgLinT+yYTOUwhDl62b4AWnQSFvb79XS/ytZ7ZzkG0Sg8Km9R5/6z3/\n2Lbe40/YZTv+Vkn+WfacdMst0n0QOOUX3OXzWut/W3T/ZwCvAnZgVnW9DbOww/7FGymlngh84Bc8\n7p9prX+e3Pc3gGcDm4EC0MIU7L52KAtNgBTphD22E5Swq1qt8vjHP5677rqLUqm04s8v8Sdskviz\nz3YOsk1iUNi03uNvvecf29Z7/Am7bMffKsk/R7ZIt9ZIkU7YYjtBifVN4k/YJPEnbJMYFDZJ/Amb\nJP6ETRJ/wNFa3VUIIcThC8OQa665hjAMbe+KEGIdkhwkhLBF8o8QwpZeyz9SpBNCiBXSarW46KKL\naLVatndFCLEOSQ4SQtgi+UcIYUuv5R8Z7irECpKuvsImiT9hk8SfsE1iUNgk8SdskvgTNkn8ATLc\nVQghVp8gCLjiiisIgsD2rggh1iHJQUIIWyT/CCFs6bX8I0U6IYRYIb7vc9lll+H7vu1dEUKsQ5KD\nhBC2SP4RQtjSa/lHhrsKsYKkq6+wSeJP2CTxJ2yTGBQ2SfwJmyT+hE0Sf4AMdxVCiNXH930uv/zy\nnvkWRwixtkgOEkLYIvlHCGFLr+UfKdIJIcQK6bX5EIQQa4vkICGELZJ/hBC29Fr+keGuQqwg6eor\nbJL4EzZJ/AnbJAaFTRJ/wiaJP2GTxB8gw12FEGL1abfbXHbZZbTbbdu7IoRYhyQHCSFskfwjhLCl\n1/KPFOmEEGKFRFHEjTfeSBRFtndFCLEOSQ4SQtgi+UcIYUuv5R8Z7irECpKuvsImiT9hk8SfsE1i\nUNgk8SdskvgTNkn8ATLcVQghVp92u80ll1zSM12thRBri+QgIYQtkn+EELb0Wv6RIp0QQqyQOI4Z\nGxvrfpskhBArSXKQEMIWyT9CCFt6Lf/IcFchVpB09RU2SfwJmyT+hG0Sg8ImiT9hk8SfsEniD5Dh\nrkIIsfq0Wi0uuugiWq2W7V0RQqxDkoOEELZI/hFC2NJr+cdbzp2UUscDvwo8CdgIxMBe4OvA9XpJ\ndzyl1KnAq4FjAR/4KfAprfXEkvs9DjgDOAE4DkgD79da/3AZ+/QU4C+TP/9Ya/3ActoihBBC2BKG\ncMMt8JWrYc84RBGkUhBGoGPIZKAzXUYmA60WOA54rrmPSr6DU4AG+vvgnDPhzNOhWLDVql+s1YLr\nb4SrvgWzczAyBL/+Yjj9mXDfQ/DVa+DnO83/4fnPMu3ZvNH2Xh857Ri+X4OvzsFkCMMenNsHv1qC\nXT58dRZ+0gRHwXML8NJ+2Ja2vddirYg0/Khu4u+hNoQaMg742uSQrAOt2HxrnwbamN8dZbZ1gA0p\neFk/PK9otj1S9vjwtXn4Qc0815NycN4AHJuC79fhP5PXzIhnXhfPL5r9PVL2BfC1OfP6bMSm/T6g\nNLjKnOygzaXnQKwhAjJq4f+XU9BKzoJSCgINKgBnJ+gfgZ4DjgXvdNAjkPfgRX1wVp85Fl+bh+9V\noRZDOnncR9s+3ACxA1kF7eQ5M8rkGNTC9o427xU6eaMY8uCcPjijBAX3yP3/hBBCHB3LGu6q/j97\ndx5e11Ue+v+79plHzbZly5GdqQkhoRASCE0pgTCUoQQDSYH2gVIot8DlBqeFFihNC4XQ+7vcluH2\n3qYB2t5CKaUQMpQkTKE0gQQuQwhJIInjSLZsSdZw5mGfvX5/vPtIsiI7suRoSTrv53n8HHmfvc/e\n6+z3vNJ+z1p7GfMu4CnAHcBDyO+xi4GzgdustR9bsO6zgD8C9gG3ABng5YAPvNNaO71g3dcCVwAj\nyN8FZ7KMIp0xJg58AugBkpxgkU6HuypXtKuvcknjz62paXjn1fCT++QCavIIHJmBILzAMiBXfQs6\nw1srRTprw+e88BHIZGB4O7QCKXx97ANw1ulr26bHs38U/uv7YOQgJBIBiRhUah7NphQoQYpz6ZS0\nsVKFeAyuvgp+/bluj/1kGGvCOx6FB+tyAZ8IL64bgfxRBHJhnfbktFYDKQ780TZ4ZY/LI9+cOi0H\nFlvwh6NSpPMsHGnBREs+a7ZdyEGKUu28Y60U6NpXBz0R2BaTQtUZCfjrU2Awtvpj+8o0fPCQFLXS\nnuy+EoRFKiBqjv7MNC3sTsDHd8KOk1DEvnkGrh6T17VIAbMR5tn2+2LDIqU1R78vi99Qq15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bgkB3+4VSZRGW2Es4+2pCddf0SK21Hv6M/MaFN6vn3iFClSrcbFWXjvNtnnER+G41IwKwVyH7d4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\nTIwBzwPOqcd+ITMva3r+M4CXA98GflS/zq8AQ8C7M7Ox9LV5nzYBmxo/v+9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0\nkiRJkiRJUmE26SRJkiRJkqTCbNJJkiRJkiRJhf1/IfD51PEdTaIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde301b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cli.plot_coldwave(fv,flag_minhum2,'MIN_N_AIRMTR_PCT10', savefig='fig/MIN_UMIDWAVE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot of how many days of extreme events by year in both cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "to_plot = fv[fv[flag_thermamp] != 0].groupby('YEAR').agg({flag_thermamp : np.sum}).reset_index()\n",
    "to_plot2 = fv[fv[flag_minhum2] != 0].groupby('YEAR').agg({flag_minhum2 : np.sum}).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>YEAR</th>\n",
       "      <th>e_THERMAMP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1997</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1998</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1999</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2000</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2001</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2002</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2003</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2004</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2005</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2006</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2007</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2009</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2010</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2011</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2012</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2014</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2015</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2016</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    YEAR  e_THERMAMP\n",
       "0   1997          21\n",
       "1   1998          18\n",
       "2   1999          18\n",
       "3   2000           8\n",
       "4   2001           6\n",
       "5   2002          23\n",
       "6   2003          25\n",
       "7   2004          10\n",
       "8   2005          14\n",
       "9   2006          12\n",
       "10  2007           4\n",
       "11  2008           4\n",
       "12  2009           1\n",
       "13  2010          25\n",
       "14  2011          12\n",
       "15  2012           2\n",
       "16  2014          14\n",
       "17  2015           3\n",
       "18  2016           6\n",
       "19  2017           2\n",
       "20  2018           1"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
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xJEmSJEkZLJYkSZIkKYPFkiRJkiRlsFiSJEmSpAwWS5IkSZKUwWJJkiRJkjI0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\nA3di1BuX/L/mAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde38fe80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "width = 0.40\n",
    "# plt.title(\"Occurence of thermal amplitude above p90th\")\n",
    "plt.bar(np.arange(to_plot.shape[0]) - width/2, to_plot[flag_thermamp], width = width,label='Count Thermal amplitude > p90th' ,color='r',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot.shape[0]),to_plot['YEAR'], rotation = 45)\n",
    "\n",
    "plt.legend()\n",
    "plt.savefig(\"fig/DIAS_TEMPAMP\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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3ApcDz7GoxWkr4KGSh00DtiyZLkmSJElNq6PnLFX8Ediu+P0xYNeU0gvF30OB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\no/qexkVrcxJ5B/8LKaXHiyN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      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde39d898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "width = 0.40\n",
    "\n",
    "# plt.title(\"Occurence of min air humidity below p10th\")\n",
    "plt.bar(np.arange(to_plot2.shape[0]) - width/2, to_plot2[flag_minhum2], width = width,label='Count Min Air Humidity < P10th',color='b',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot2.shape[0]),to_plot2['YEAR'], rotation = 45)\n",
    "\n",
    "plt.legend()\n",
    "plt.savefig(\"fig/DIAS_UMID\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Looking to 2018 where the min humidity below p10th occurs the most"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# getting series of pct90 min and max along this year\n",
    "\n",
    "df_2014 = fv[fv['YEAR'] == 2018]\n",
    "\n",
    "percentile = .9\n",
    "day_name = 'DAY365'\n",
    "var_2P90 = 'N_TERMAMP'\n",
    "var_2P10 = 'MIN_N_AIRMTR_PCT10'\n",
    "\n",
    "\n",
    "pth_max = []\n",
    "pth_min = []\n",
    "\n",
    "for d in df_2014.DAY365.unique():\n",
    "    # For each day we will have a different pct\n",
    "    df_pct = data[(data[day_name] >= d-14) & (data[day_name] <= d + 14)]\n",
    "\n",
    "    pth_max.append(df_pct[var_2P90].quantile(percentile))\n",
    "    pth_min.append(df_pct[var_2P10].quantile(0.1))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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JUBqE0uzZ8PLLsHGjd6GjFCxbJmM7JSTAjTdK3JMRS7fcItY1kOQWderA44+L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\nO1i65x449tjhtK+XotcgOvrowf92Olgq6zNRsCQlK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CofleHF8RLZGaROZ06kJM65R/Gz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde658cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LEUuO0Lq8YXhAsULxzGORWRdBEIRwzLbcnGGXMLypiYswvKyTqNUWS66dpaRheJKzVN+I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\nX2utF2itp2mtT9Ra/9j3nB6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iiaWwQVrZc5aAYnf2WZylsyd65t/+NtsxfP3r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YALAO4EoAD4J4ANQojWiqIUGC86soiOjvydbidCUPL9unWulb1YLEUuWrFkt0CoVIkqDxkRqJnA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\nxpgG3FkyxhhjjDHGmAb+D0VzSt7ms8S7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde6e2668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,5))\n",
    "\n",
    "plt.title(\"Extreme conditions in thermal Amplitude\")\n",
    "\n",
    "x = np.arange(len(pth_max))\n",
    "y1 = df_2014[var_2P90]\n",
    "y2 = pth_max\n",
    "\n",
    "plt.plot(x,y1, color='r', label='Thermal amplitude')\n",
    "plt.plot(x,y2, color= 'r', linestyle = '--')\n",
    "plt.fill_between(x, y1, y2, where=y2 <= y1, facecolor='red', interpolate=True,label='Above P90th')\n",
    "\n",
    "plt.legend()\n",
    "plt.savefig(\"fig/AMPWAVE_2018\")\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(12,5))\n",
    "x = np.arange(len(pth_min))\n",
    "y1 = df_2014[var_2P10]\n",
    "y2 = pth_min\n",
    "plt.plot(x,y1,color='b', label='Min air humidity')\n",
    "plt.plot(x,y2, color= 'b', linestyle = '--')\n",
    "plt.fill_between(x, y1, y2, where=y1 <= y2, facecolor='blue', interpolate=True, label='Below P10th')\n",
    "\n",
    "# plt.xticks(np.arange(df_2014.DAY365.nunique()), df_2014.DAY365.unique(), rotation = 90)\n",
    "\n",
    "plt.legend()\n",
    "plt.savefig(\"fig/MIN_UMIDWAVE_2018\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# by the graphs we can make 2 hypothesis:\n",
    "\n",
    "1. **Thermal amplitude is decreasing along the years**\n",
    "2. **Min air humidity is increasing along the years**\n",
    "\n",
    "so lets check.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "to_plot = fv.groupby('YEAR').agg({'N_TERMAMP': np.max}).reset_index()\n",
    "to_plot2 = fv.groupby('YEAR').agg({'MIN_N_AIRMTR_PCT10': np.mean}).reset_index()\n",
    "\n",
    "to_plot['MIN_N_AIRMTR_PCT10'] = to_plot2['MIN_N_AIRMTR_PCT10']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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o7/3n3vt/SrpZUmdJJ+yy7xLv/exdbkyGAsq7tWulRx+1xO/OO23OJEpPnz5S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\ntFM/u2vsz9Fyt4hlC+4NRu+r252Jj3lYdvt7t/WgZvwGcFJ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Ddq4/O5rc03YMsGmd1t3b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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bde650cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "width = 0.40\n",
    "\n",
    "plt.plot(np.arange(to_plot.shape[0]) , to_plot['N_TERMAMP'], label='Max Thermal Amp',color='r',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot.shape[0]),to_plot['YEAR'], rotation = 45)\n",
    "plt.ylim(ymin= 0, ymax = 40)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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9jib8jRxpJbd9+uT8sVdfLZ12mj3XW7YEPjYEzv/+J738sq1Pf++90ZdoH+6C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\n8KwfrHsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x18bdef38dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,6))\n",
    "width = 0.40\n",
    "\n",
    "plt.plot(np.arange(to_plot.shape[0]) , to_plot['MIN_N_AIRMTR_PCT10'],label='Minimum Air Humidity',color='b',alpha = 0.7)\n",
    "\n",
    "plt.xticks(np.arange(to_plot.shape[0]),to_plot['YEAR'], rotation = 45)\n",
    "\n",
    "plt.ylim(ymin=35, ymax=65)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}