{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import netCDF4 as nc\n",
    "import datetime as dt\n",
    "from salishsea_tools import evaltools as et, viz_tools, geo_tools\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Ammonium</th>\n",
       "      <th>Ammonium_units</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>Chlorophyll_Extracted_units</th>\n",
       "      <th>N</th>\n",
       "      <th>Si</th>\n",
       "      <th>Silicate_units</th>\n",
       "      <th>AbsSal</th>\n",
       "      <th>ConsT</th>\n",
       "      <th>Z</th>\n",
       "      <th>dtUTC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>5.28</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>6.6</td>\n",
       "      <td>13.6</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.61</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>21.2</td>\n",
       "      <td>45.0</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.5</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>23.5</td>\n",
       "      <td>47.4</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.5</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>28.0</td>\n",
       "      <td>50.2</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52.3</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1982.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>49.25</td>\n",
       "      <td>-123.943</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>26.5</td>\n",
       "      <td>49.1</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.4</td>\n",
       "      <td>1982-07-16 01:21:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Month   Day  Hour    Lat      Lon  Pressure  Depth  Ammonium  \\\n",
       "0  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   12.0       NaN   \n",
       "1  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   21.5       NaN   \n",
       "2  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   30.5       NaN   \n",
       "3  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   52.3       NaN   \n",
       "4  1982.0    7.0  16.0  1.35  49.25 -123.943       NaN   75.4       NaN   \n",
       "\n",
       "  Ammonium_units  Chlorophyll_Extracted Chlorophyll_Extracted_units     N  \\\n",
       "0           None                   5.28                      mg/m^3   6.6   \n",
       "1           None                   0.61                      mg/m^3  21.2   \n",
       "2           None                    NaN                      mg/m^3  23.5   \n",
       "3           None                    NaN                      mg/m^3  28.0   \n",
       "4           None                    NaN                      mg/m^3  26.5   \n",
       "\n",
       "     Si Silicate_units  AbsSal  ConsT     Z               dtUTC  \n",
       "0  13.6         umol/L     NaN    NaN  12.0 1982-07-16 01:21:00  \n",
       "1  45.0         umol/L     NaN    NaN  21.5 1982-07-16 01:21:00  \n",
       "2  47.4         umol/L     NaN    NaN  30.5 1982-07-16 01:21:00  \n",
       "3  50.2         umol/L     NaN    NaN  52.3 1982-07-16 01:21:00  \n",
       "4  49.1         umol/L     NaN    NaN  75.4 1982-07-16 01:21:00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df1=et.loadDFO()\n",
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 4421.,     0., 10641.,   871.,  1004.,  2699.,   232.,  3028.,\n",
       "        11517., 13849.]),\n",
       " array([704863.75416667, 708060.60233565, 711257.45050463, 714454.29867361,\n",
       "        717651.14684259, 720847.99501157, 724044.84318056, 727241.69134954,\n",
       "        730438.53951852, 733635.3876875 , 736832.23585648]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(24,4))\n",
    "ax.hist(df1['dtUTC'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2018-05-18 05:39:38')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.loc[df1.Si>=0.0]['dtUTC'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lon</th>\n",
       "      <th>Pressure</th>\n",
       "      <th>Depth</th>\n",
       "      <th>Ammonium</th>\n",
       "      <th>Ammonium_units</th>\n",
       "      <th>Chlorophyll_Extracted</th>\n",
       "      <th>Chlorophyll_Extracted_units</th>\n",
       "      <th>N</th>\n",
       "      <th>Si</th>\n",
       "      <th>Silicate_units</th>\n",
       "      <th>AbsSal</th>\n",
       "      <th>ConsT</th>\n",
       "      <th>Z</th>\n",
       "      <th>dtUTC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6731</th>\n",
       "      <td>1995.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.216667</td>\n",
       "      <td>48.693000</td>\n",
       "      <td>-123.505</td>\n",
       "      <td>0.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>0.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>27.996839</td>\n",
       "      <td>17.559562</td>\n",
       "      <td>0.198309</td>\n",
       "      <td>1995-07-05 23:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6732</th>\n",
       "      <td>1995.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.216667</td>\n",
       "      <td>48.693000</td>\n",
       "      <td>-123.505</td>\n",
       "      <td>5.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.26</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>5.6</td>\n",
       "      <td>18.3</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>28.561329</td>\n",
       "      <td>14.012140</td>\n",
       "      <td>5.155979</td>\n",
       "      <td>1995-07-05 23:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6733</th>\n",
       "      <td>1995.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.216667</td>\n",
       "      <td>48.693000</td>\n",
       "      <td>-123.505</td>\n",
       "      <td>10.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.24</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>8.6</td>\n",
       "      <td>21.8</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>28.733937</td>\n",
       "      <td>13.288506</td>\n",
       "      <td>10.113529</td>\n",
       "      <td>1995-07-05 23:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6734</th>\n",
       "      <td>1995.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.216667</td>\n",
       "      <td>48.693000</td>\n",
       "      <td>-123.505</td>\n",
       "      <td>15.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>11.2</td>\n",
       "      <td>25.4</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>28.903706</td>\n",
       "      <td>13.070437</td>\n",
       "      <td>14.971810</td>\n",
       "      <td>1995-07-05 23:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6735</th>\n",
       "      <td>1995.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>23.216667</td>\n",
       "      <td>48.693000</td>\n",
       "      <td>-123.505</td>\n",
       "      <td>20.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.18</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>13.0</td>\n",
       "      <td>27.8</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>29.068438</td>\n",
       "      <td>12.762858</td>\n",
       "      <td>20.028267</td>\n",
       "      <td>1995-07-05 23:13:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38129</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.860556</td>\n",
       "      <td>49.007167</td>\n",
       "      <td>-123.385</td>\n",
       "      <td>125.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>27.3</td>\n",
       "      <td>51.5</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.585648</td>\n",
       "      <td>8.557020</td>\n",
       "      <td>124.298603</td>\n",
       "      <td>2003-02-28 15:51:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38130</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.860556</td>\n",
       "      <td>49.007167</td>\n",
       "      <td>-123.385</td>\n",
       "      <td>161.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>29.3</td>\n",
       "      <td>56.0</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.861703</td>\n",
       "      <td>8.875833</td>\n",
       "      <td>160.067538</td>\n",
       "      <td>2003-02-28 15:51:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38131</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.860556</td>\n",
       "      <td>49.007167</td>\n",
       "      <td>-123.385</td>\n",
       "      <td>174.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>29.8</td>\n",
       "      <td>57.5</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>30.939630</td>\n",
       "      <td>8.951475</td>\n",
       "      <td>173.343060</td>\n",
       "      <td>2003-02-28 15:51:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38132</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.860556</td>\n",
       "      <td>49.007167</td>\n",
       "      <td>-123.385</td>\n",
       "      <td>199.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>30.6</td>\n",
       "      <td>60.6</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.084543</td>\n",
       "      <td>9.059098</td>\n",
       "      <td>197.811359</td>\n",
       "      <td>2003-02-28 15:51:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38133</th>\n",
       "      <td>2003.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>15.860556</td>\n",
       "      <td>49.007167</td>\n",
       "      <td>-123.385</td>\n",
       "      <td>257.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.02</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>mg/m^3</td>\n",
       "      <td>30.5</td>\n",
       "      <td>61.7</td>\n",
       "      <td>umol/L</td>\n",
       "      <td>31.185513</td>\n",
       "      <td>9.132899</td>\n",
       "      <td>254.661639</td>\n",
       "      <td>2003-02-28 15:51:38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>97 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Year  Month   Day       Hour        Lat      Lon  Pressure  Depth  \\\n",
       "6731   1995.0    7.0   5.0  23.216667  48.693000 -123.505       0.2    NaN   \n",
       "6732   1995.0    7.0   5.0  23.216667  48.693000 -123.505       5.2    NaN   \n",
       "6733   1995.0    7.0   5.0  23.216667  48.693000 -123.505      10.2    NaN   \n",
       "6734   1995.0    7.0   5.0  23.216667  48.693000 -123.505      15.1    NaN   \n",
       "6735   1995.0    7.0   5.0  23.216667  48.693000 -123.505      20.2    NaN   \n",
       "...       ...    ...   ...        ...        ...      ...       ...    ...   \n",
       "38129  2003.0    2.0  28.0  15.860556  49.007167 -123.385     125.4    NaN   \n",
       "38130  2003.0    2.0  28.0  15.860556  49.007167 -123.385     161.5    NaN   \n",
       "38131  2003.0    2.0  28.0  15.860556  49.007167 -123.385     174.9    NaN   \n",
       "38132  2003.0    2.0  28.0  15.860556  49.007167 -123.385     199.6    NaN   \n",
       "38133  2003.0    2.0  28.0  15.860556  49.007167 -123.385     257.0    NaN   \n",
       "\n",
       "       Ammonium Ammonium_units  Chlorophyll_Extracted  \\\n",
       "6731       0.20         umol/L                    NaN   \n",
       "6732       0.26         umol/L                    NaN   \n",
       "6733       0.24         umol/L                    NaN   \n",
       "6734       0.20         umol/L                    NaN   \n",
       "6735       0.18         umol/L                    NaN   \n",
       "...         ...            ...                    ...   \n",
       "38129      0.00         umol/L                    NaN   \n",
       "38130      0.01         umol/L                    NaN   \n",
       "38131      0.00         umol/L                    NaN   \n",
       "38132      0.00         umol/L                    NaN   \n",
       "38133      0.02         umol/L                    NaN   \n",
       "\n",
       "      Chlorophyll_Extracted_units     N    Si Silicate_units     AbsSal  \\\n",
       "6731                         None   0.2   5.6         umol/L  27.996839   \n",
       "6732                         None   5.6  18.3         umol/L  28.561329   \n",
       "6733                         None   8.6  21.8         umol/L  28.733937   \n",
       "6734                         None  11.2  25.4         umol/L  28.903706   \n",
       "6735                         None  13.0  27.8         umol/L  29.068438   \n",
       "...                           ...   ...   ...            ...        ...   \n",
       "38129                      mg/m^3  27.3  51.5         umol/L  30.585648   \n",
       "38130                      mg/m^3  29.3  56.0         umol/L  30.861703   \n",
       "38131                      mg/m^3  29.8  57.5         umol/L  30.939630   \n",
       "38132                      mg/m^3  30.6  60.6         umol/L  31.084543   \n",
       "38133                      mg/m^3  30.5  61.7         umol/L  31.185513   \n",
       "\n",
       "           ConsT           Z               dtUTC  \n",
       "6731   17.559562    0.198309 1995-07-05 23:13:00  \n",
       "6732   14.012140    5.155979 1995-07-05 23:13:00  \n",
       "6733   13.288506   10.113529 1995-07-05 23:13:00  \n",
       "6734   13.070437   14.971810 1995-07-05 23:13:00  \n",
       "6735   12.762858   20.028267 1995-07-05 23:13:00  \n",
       "...          ...         ...                 ...  \n",
       "38129   8.557020  124.298603 2003-02-28 15:51:38  \n",
       "38130   8.875833  160.067538 2003-02-28 15:51:38  \n",
       "38131   8.951475  173.343060 2003-02-28 15:51:38  \n",
       "38132   9.059098  197.811359 2003-02-28 15:51:38  \n",
       "38133   9.132899  254.661639 2003-02-28 15:51:38  \n",
       "\n",
       "[97 rows x 19 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfam=df1.loc[(df1.Ammonium>=0)]\n",
    "dfam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "with nc.Dataset('/ocean/eolson/MEOPAR/NEMO-forcing/grid/mesh_mask201702_noLPE.nc') as mesh:\n",
    "    navlon=mesh.variables['nav_lon'][:,:]\n",
    "    navlat=mesh.variables['nav_lat'][:,:]\n",
    "    tmask=mesh.variables['tmask'][0,:,:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(48, 49.5)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "m=plt.scatter(dfam.Lon,dfam.Lat,c=dfam.Ammonium)\n",
    "plt.contour(navlon,navlat,tmask[0,:,:],levels=[.5,])\n",
    "plt.colorbar(m)\n",
    "plt.xlim((-124,-123))\n",
    "plt.ylim(48,49.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f926d9c3bb0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfam2=dfam.loc[(dfam.Lat<49.2)]\n",
    "dfam3=dfam.loc[(dfam.Lat<49.2)&(dfam.dtUTC>dt.datetime(2003,1,1))]\n",
    "plt.scatter(dfam3.dtUTC,dfam3.Ammonium,c=dfam3.Lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f926c3e0d60>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(dfam2.Ammonium,dfam2.Z,c=dfam2.Lat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-123.505     , -123.50466667, -123.50416667, -123.50383333,\n",
       "       -123.50283333, -123.50183333, -123.43666667,   48.391     ,\n",
       "         48.6925    ,   48.69266667,   48.693     ,   48.69333333,\n",
       "         48.69366667,   48.69433333])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(dfam2.loc[dfam2.Lat<49,['Lat','Lon']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "j,i=geo_tools.find_closest_model_point(-123.43666667,   48.391,navlon,navlat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(299, 184)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "j,i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "sourceloc='/results/SalishSea/hindcast.201905/'\n",
    "start=dt.datetime(2014,1,1)\n",
    "end=dt.datetime(2016,1,1)\n",
    "flist=et.index_model_files(start,end,sourceloc,'nowcast',1,'ptrc_T',1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=list()\n",
    "for ind, row in flist.iterrows():\n",
    "    with nc.Dataset(row['paths']) as f:\n",
    "        data.append(np.mean(f.variables['ammonium'][:,:,j,i],0,keepdims=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=np.concatenate(data,axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "times=[start+dt.timedelta(days=ii) for ii in \\\n",
    "       range(0,int((end-start).total_seconds()/(24*3600)+1))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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O7r3JzoAWL2EJPNpuqptbjts8/KvOorXsUMRREpXH1/oExgeLKGrvPnLFY0SuXI/00hha3/0TZ8/9hro+7wnrWxCEfxKBqCAATlcvz997E2/efCOJtSoy/VMJn+4kzprNyndeP2Sd9154DJO/gbdiw5xZa6a0/2Ws807lgwe28cmTuwiHZawzZwKQVaPn/ZjRMPISrlV9wZqBS1DrK/BJEpNs4+h1q/a325lwEpJOR+Mtt+Des4dTU0/lkcmP4Fm5Bk9uLnG3347lhttIuO8+qgbGYIgN02SyEdq2hVc3VCHrFMRoI8t3Q8o+ZPnE3OH+TokUOd2pRKOhougnytorCILwM1CwbSNb7EmEDWX0KSUuHnLxAde/C0TL1GomuArps2iP2Gaar4pb4+w4lGGCyFQa/Ei9Yfp1pTK+sh9kZzC9YxdrTWqi1SZyTMPomPcqplNOocuuZtH0mTSlhYhr9RGrMdJh6IiMVauhuPBrAD644Q6WPf8Un3/2NC89ehZzb7ue+Y/eRk9nM5SthHDox0+KLGNu281jsVF0h8q4KV6DTVvBO9u3/vg2j8Dnd+P0/PM4s/r1bxKQlVyg3MSE9i+57rNvjlvfgiAcnghEBQGY+/QDSHozC8dP5uVpA3l9Wgz3aS7l8zFRVDsPTgC94YtFtCSlotetpkGt5uK6IbhMycSmmVCqFbRWO2iu6EEVG4sqNpbJnlh6VRX0nfUIpOQwoH4xa2IS0Cq1DOsy4jImYTBATJKR7s4gyc89S9jlpum225FlGVmW6XrrbUKZ2awqTeWt2zexbWkVqlAOidUx7EnLIrG2hIrWPgJDo4mRJCQZetV+2rp7T9g8hpyt7NUq0YQVuBUKdpRvPmF9C4Ig/NysXPoBST2trDNpiNVY9mdD/06sPhar1kq+xswEqYhKa8wR2+zRVFKlUTOzfTDphkSKNRqye8vxDlOwd2Yj8xMmcqq8jXVGI2f1Pxfv+o2EnU7s11+HFCOTbmxHOTAOvQ8e/nQrzlQflqCBfJ2W5tpCbp3zF3akN/CVoYfmXBet8iCWDRpJWVDBV6+fxfnf3MCW1Y/96DkJd9VQpPVQafAy1jWAsARVOom+yuOXV+D0d5cy9s1NtHY2IQc8+JvWMDupP3kGM9PVudS0iieigvBTEIGoIAA2p4LN+ijmVT7DbwpXk7WlmrmVj0JVmKQ+HW/ccSXz//4nQsEQXp+PzdvWEe0rYlGUlotDI3BURfaYnHrpEC64dQwqjYLyXZFzNLVDs+jfFiQYDnLd+hv56rS/0f2X7XyuV3Nu/3Nxvvs+LlMythQzMUlGOptcmKdNI/bGGwg0NuLJzcOTm4urqJSCrCvobfeQMiSaPStrMfYNRVM5gsqhQzEFvTwyxU44Vocp7McU1lKvVlFde3TZa9+79a889MB1PHP/3370PH608lb6lAoMoeEANHXnnvAnsoIgCD8XKquVSa6dbNTrObPfTBTSgb92SZLEoOhBlBtMjFOUUquwfG97W7ZvoUvTgyWkYGrOuWTFZlOs1TIuWMI3A3S803ARgd1BXOZa/BLM7D8T59qvkRPT+fgjF0rDcIY7erg66U5qYpNob8pgmrKLtC4b+VoNoe4GxpdmMLZgCGPWNaJrdhBIjuLK+i84Xf8Oz8aFqdBoeKlmIXLwxx25Ul+wjnesFtSygfNKJ4AMDSoVyc7js5WjpbOF7Lpi/ty0hMs+Xc66r17jC4uKBp2PdwzxTGIffpdCfFYJwk9ABKLCL17e1nWsHZzBbz3v8vdUPxNNX/Ki5mVmKbdxt2sBm8YmE4iOR+Ox8czd17HojrtoTU7Gb9gGSFyyL44eexYanQJ7qhm1VklGtp3KPW2EgmF0WVko6pqYFDOWJmcTd22+h9tyn8EX8vF790gca9fhNiViT4/GlmSir9OL3xvEfPoZSDodji8+x/n117THn0S3U830y7I457psUofG4DPXQViJRZkOwIhgJEuuIRDALBtpUKlob9h3xDnIX7eaXq+bHf2zWT9kMC8/cdcPm8Sgjx2rb+epvlz6ufRYoseikEGhamB1RdsPfUsEQRD+6+1Yv4IdsYmojMX4FRJn9T/7kOWGxAyhVh1EI3kxud3f2+ZXW76iSKck3m9mfM5shtiH0qJSMlhVyrraydirW/h77CZ26rXYNBZGmAfj3LSJtrG/jny2dGcR02RElaVie+xQgm29xLkziOlQ0q5SoQ53Uj9jN54pVcQkj2bNDDvfNA4mbMnl1vhYwsST6hxOoU7Bmi2HO1r+0LZ/+BGrFr5L047n2a7Xkazsh8vbhzlgoFqlJd3fQjB87BMHPfzRIh6W3uQm9WKuqFtGXO58FpsiAf8GQ4Cgws8YbzF7SguPed+CIHw/EYgKv3hfL/ucxN4mdkY5KNeouSYpmVnDxnPqgCGUWNs5r3Q5ytBmKmJ62ZE6jI9SBtK/M5cvzHp+o52Af8UaHEmjSBoUg0IR2Zs5ZEIiXmeA8p2t6LKGQijEnIyb+fz8z+ln7UdeWx5XDr8S/aqt+GL7EZYVxCQZiUkyAtDV7EJpMmI67VQcK1bi3rUbT/pIlGoFGSNsqLVKZt8wCo2+BLXUS4zbQEihwFtcDIDJH8ISMlGvVuFuqzjiHCxb/xm7xg/mgrJ1TN6XxyvJE9mwfMnRTWAoSNWi3/K3+i+x+5VUhm4nizZsYRWtmhAL13z2494YQRCE/2Lr1y7H2tvDJpOSOLWFkbEjD1luTPwY/HKIvVotA531bNuw8vCNhttoVKuwucwYTWaGxAwBQNa2ElXXzgf6p7i4923y9XpGxo/B8dlnhLx+qoL90OhV+Ps0BNpSmGzZQuPwNJRymA+7p2ELRW4Y+pWdPM3NzEs7j/LTd7C+eAz3+BewzGwkxm/gxrUnobePwRAOs7xixQ+aj9s9XlTlT/F8lB9kiRld6XSF+2H2JVKj1jFQbmDlvmObV6Bk80Zi+6rYaJa5KSYdk3knz8b76FFJTK7Nwq+UWWMwMlVRyKJNG49p34IgHJkIRIVfPIXPT5anlDUGA2eln8klWZcwKHYEUaZ4no2JYb2vhd6SHrq7d5OufJGJ2icpj8kHFFxUaCWs1OAM6YhNNe1vM21oDLZkI7mr69AOzQLAu3cvRrWRhecuZONvN3Jj9l9wrv8Gz0kzALAlm7AlfxuINroAsJxxBqGuLjx5eTij+mFLMqJQ/vO/rdEZQBlyYXKqqE5Mob0gckfX5AsS4zXRrVTiO8Qe138XF9QTrJO5QrWSO1ULubB8NTuK8o48ebJMwbuX83+eYvyyljLH3cQPcjG+FpI8KdSo1QxoP4p2BEEQ/oeEgkHMXplRzkI26fWc2f+cg5blfmdM3BgANurMjPRVsHv9l4cs5/f7MIZLARhsGAiwPxAt16r5aOBasuQquqfeSp1KwThlJm1PP4N3wrl4PHDKJYNQ65T4Amam9WxAYY8kHFKaB5IUE3kS61c50G5rp2OPnuc9N3K1axlj1Tsp0GkY5kimIyWPiZ4m+nv0FMjtyEd5RFdp7m7Oq13PB7E+ynU6+sXkEFdhIdPdxsC6KlpVCgZIjSwtPPKN06O1edWXPFa5g7O8K3jIFsMaq8wdcXZK1GYmtI5kxpY4FGGZQrWecYoSSsLqY9a3IAhHRwSiwi+ay+1CY7bi0VbhleAPulO5ddTfePbUZ3n21Dn4UXDO9mws6gcZ1X4PGXsSWWKNYr3RwF8SLiD4+UqUs34LMkQnGPe3K0kSo85Io6vJRYfHhCouDvfOnQBolVr0Kj3unTsJ9jmpVGYRm2bGnmrCYtOjUivoao4EosapU0GtRgZ6Q2Zi0w4811Qhy0ihHiRZQUPqAKIry4kPNRHlDRLvNADgCH3/ES6Fu3ewPjOF230LuCQphUcSB3Ely/kmMYUnH7nhe+vOfe5PPB7YQZNKQ5v2JkaPauPX1RsJlekxd6moU6s4OZBPk+P7l5sJgiD8N5NlmcXL3uGFG2fyyhPXseix+6lPjUep/25Z7kyC7e3UXXU17l27CHs8yKFIIBili2Jg9EC26k2MpoKGaPsh+3h0/kvImjqUMlx26YMAxOhiiNFGU6lRM7T+Q4jOoCBzEgDZq6oI+/34p/8WSYL04Xbi0sz40eFtHcCM6MiqF4XWzR7n+ZhC0K3xoVYEkHoCWHa3c63qc1alZgMwOXMybYbBpFQaUYYyaVNJVNUeXbbZd9au5CJpLbt1Okb3Dua8vcl0uUwk164BrZpuVRiToo/W7r7/6H34jj8QYufmtQypqeITW4AwCh4dfA9nVsRy3cZJjNhTy9unf0NcKEyJykq2VEVHyEBPw5Fv3AqCcOyIQFT4RVv19suUxEfRqetjaomE5vLbKZ96Cp68PDKjMnnF8GdqM36LwWYhoLMS330BH+e8yk1jbmLGblXkbvApswGISjAc0Hb/UbEoVQqqctsxjB+Pa8dOvGVlBLu6CLvdtL3wAp1JOfS5JMaenYEkSUgKCWucnt62SOCmNJkwjh+PV2fDH5AOCkQxQDDcCoA53U+Mo5dn8+5A7dMQ3RkNgIvvz5q7YvEb6DtcbIvupVCrYJUBkhXttHebsbVKrF/z1UF1vvjkBV54Yw5Nms0UabSc2dOft5e8wsUbW7HnpuPr1qNw2ghKEimaChbn5f+o90cQBOHnrKmljlcf+zXzn/gjrjUV1AweSoejg71yNVVqI/UGNxZJS3ZsNl3vLsC1aRP1115H2ckTaH/hxf3tjIkbQ4VeIkPRSJPGeEAfDZ19FBTuQeGuY4dBTZLXRKwlev/1zOgBVMZmwsS/UjHzKd4peQ9jQIlm5RYsZ51FS0sYe6oZrV6FLcVEWGFG2TwcozkS9Cm9XayJPxWt30ydWsU8xXzemBXNZbHVhFROXlO5yY7NZlK9iss/WMvgL1ZBeAAAq/IXHtU8datkmnQeghIk1VoxVARJqyvhg5xOvhngj8ylSkXMvxyx8p/49J3n2ZaSzmzFUlYbjZwVdxazT/4tPSmnExqQx+SRpSx01YE/gQqjAa0UJLWvjZX/mHtM+hcE4eiIQFT4RatqacIj+anQKplYp0NhMqEwGGi8+RaCHR1o1jXj11rJuXAI2RPtdMSOQrc2nz9En0Xfx4uxzppFXyBy7ltU/IGBqEanInVoDFV57Rhycgh1dFB9/gU03nQzrY8/jrdwL72nXorBoqHfyH/eAbfGGehp8+z/t+2aq+H8ywGwpx4YiKpijPhUjZH+4pWQaiXuSz+ST4PJZQPAIx3+aWR3ZxtuezIXuJfzapSVOH0s3WEvhVoNoztKaRkRzb41a+lx+/fX8fo8FOWV42gvZ6NRzRBHHBcsDZFY1E3CmgIsFfU45QWMK4scjN6sgfbC9T/wnREEQfj5W/HI47TEZ9GnT6VDLiKnQY9xcAoDzGkkOtrYq9WQHTMY3B66Fy1CP3YMKpsNZVQU3QsXEvZEftaPTRiLjxDFWg2agIfX7v4rX6/7gAVv3suip25l6fovONm9mQqNhjNMk2h79lkCrZF9nZnWTKpCLkKnP8iNBS+yr2MfdzomEXY6Uc/6Da3VDpIHRQFgTzGBpMLkNtHcO4CwTubyUAOmEVGEVInUqlVMV21i+u7/4+7oNTweF0dAknh0+J14330Pt9WC1uNgdEMzMcEwRR1Hd+RKgq+VHTodkgyZNZ3oW2V86m0Uj4/jnu7IZ1SDSkWytw2f+z87SkWWZeorKxjaWsESqxq1UsWt0+4A4NSGPuYOvYHfhedzhncOtaZR+CUHYeAkdyk9CT8uE7AgCD+OCESFXzSl00eMs5syjZpB9TKGnByS5zxHsL2d8tOmUVcvo5DCZIyMI2VMKgD1X26l7oorkVQq7NddS3eLG3OMDrVGeVD7mSfF4uz2Ua0YhAwQCuHevp2eJZ9i+d2lNHWo6TfSjvRtkiOAqDg9jg4P4VBk740xJwd5/OkAxCQeeKfclBiL3+ACKYjPkYTz9CDqZgXaFh9SwIxChpDi8B/q7778NOUGIy3WWnwKiWdOfRaVpGSd0cyYYAnfmNNo1TrY8M3y/XWWvvQMzuQ4RoQ20qVUYnP4MbVVEFQqiOsuY81p61BO7GZjVjUA5Wot/bvFE1FBEP63FO5cT/5AFb+NyMsAACAASURBVPZdqzEXVKMa3p+HBo3nlYbpPGmawij3PirVaoYnn4xzwwbCDgexN9xA5soVJD/zNGGHA8eXkf2gY+Ij+0R36bREefro8bTxVdFeKqprMMVHswcbTmMTAOfU6Oic/zpVs2bR8+lSMq39cQacLKlYQl1fHQ9MfIAxpSFah83i4w8dhIJhkgdFnqDaUyI3M2WvmrqabEJRKoJVX/M3bkUXbaRNpaLInwrdNXTUbuQbnYbfDfkdxqXr8XuClGSdj1ejZER1I1F+Ew1yD4S+P9PtwscfYbi3ik16I7ZgNNWji/k8+zPu/02AB2vymdznBKBKpSMz0MiSuXP+o/dld/5WumKSOC/0FUtNZmZl/gq7PnKzN+R282fHFww9uYa6KUOYFFVKmDB5qliyQ5WUJmh5bc79/1H/giAcPRGICr9YXV0dmI1GEn1l6J0SpnYXhpxx6LOz6bdkMebTp9M98FRShtnR6FXEfbsstodoQm4Xqa/OQ5OeTk+rm+h/W5b7nczRcSQPjmbr6g5cF/6NpKeeBJUKAPekCwj6QvQbFXtAHWucgXBIpq/Lt/9rrl4/Gr0KtfbAYDcqMRmXSUal8OPuTsU5sBsAU2MPYbUefViBX3H4O7xBRx9JvU0stJgYHzOM0XGjOSl+DJssUeQoSihvSyGj10DrF5/sr9Pc0kg+NmpMvShkOKMmBWUYqieNRBmWOLl4ANqOCVxraUfnV7FbG8PoQOkPeGcO5vcHWPzhExQUbKOitY/ipmOzfEsQBOHHWvvlCkbvChFnuIjQ2BRelafwUuXTFPv/wP1184nVlhCWJIbbs3HvyUXS6zGMHg2AfuxYtEOzaH38CTz5+dj1djIs6ezS6Uj2dJBuHsqYSiuJKXaei57KH9q+YrnJRKIhHvX2AnRDh6IdOJDmu+5i0N7Iz8OHtj5EnD6OaQlTcOzYTVX8acSmmTntD0NIGx5ZIROdaEAmjCuoIjYUS58mFo3DTgbZTFfkAvCVbQJcsZIvzrybEDKz+51Lz6efUjfxGnp0OdSlZRJb00VAkUqNWklr6abDzlHBhvXsk8L0l0oo0qnIao1HoZjKtdZ23mtqJVE/jPNdzyDLako1ZgaGGygnyNbyPT/6fcl/9z26dbDR6ieggMuGXbb/Ws7lFxOTO5KZ1Zv4R/gmhvsiCYqqFXEMkJooU8ShKepl4ZJlP7p/QRCOnghEhV+s9QtfJTfFjl1dytC6yEHWxpwcALQDB2K55zGcXiXpwyIf4HqzBnOMDi64gkEbN6IdOZqizU10NjkP2h/6HbVWya9uHIVap8Qz/FSss2dju+pKun99J6s/aUZvVpMyKPqAOlFxeoD9+0QB3D0+jFbNQe3bEvvjNmlR4yfgiiMcpScQK2No7kTX2YZOVuJVhAiGDs5sWF1XjtZqJTWYR6tKxYVD/wDAuIRxlEsB0lU1DGirpnWglcphA6gqL49UTIhhcmsuK41GRtZoGbBlH91WHc5ABi6TlkZ3PI/E/Jl1fb8ixROiQA8ZNNPW9+OWW3ncTt66dRbBAh97533FtnseZPeDj7GvvOxHtScIgnAsBHsaCEzU8tU5Tl6JmsTDja8yRp2P1zaQC5Wb6NBFfoYPsw/Dk5uLfsQIJHUk8JEkidS5c1FarbQ89hgAYxPGsUenIz3YyJKpRj46R8eTinMZXlbCCN02dui1/N52Dr7yciyzZpH+7jso7XaiNu7dP6brRl1HYHc+zdGj8Ia1TLpwAEMnJe0/WkylVqIwOPHIGkYG0+nVmPA3u9mwIYq2ojMAqE7xIqeMZWnzJkbGjiSuqBVnl4c6VSRTb2vSUHROJxaFmaAksWnnR4edoxVff0qDWUWhKfLzf0CDmTWpE1jadwm9oVGc0XQNvTEJKFUWGtRKBiiaqLVYWP/Wvfh8R/7M6OvqYOvXX7H1m38mTaq3SKT21bPQYuLUhJPpZ+23/9rQEZPo7qhhYNl5VO28iLaSwQDUoiBDaqHelYQp1kxb/i5au8QNT0E43kQgKvxiVbW20hNQ0KL3ktEOXoONFSu8vHXHJjobnTSWRZ4uJv9LoBiXbqatto+Wql4W3LOFdQtKsKeYGTkt9bD9SAoJW5KJjsbI8iP7X2+gxJ1BQj8Lv75rHEr1gf8NrXGRoPZf94m6en0Yo7QHtW2LTsJntKEOByCoxdHzEPXWfhg7W4lytKOV1biU0NbdfVDdDe++TG5cPAFDLZIME5IjmRbHxI9BBvboTVwurSTXbCdh30aWvf8WLz1yJ2tj0xmg2UaDWsU5eW7CCj+Bu++lR1WKJ8XAmNYiYkbBXOvFWL3xOJQhKnVhNhf/8DvcnY5urnzrFXaPmsYucwkbBvewN7mTamstyz59nTn33c4f5r7AA/OfInyUxwgIgiD8p/r6erHZ0njBMo21G3IYvy+fyZqtzOzXn5l2JZuMKvZqNcTrbMTIBrzFxei/fRr6HXVCAuYzzsBXUoocCjEqdhQuhYRO3cK2glHkbhqEsbKbl0xv8r49AZ1Sy+mNkc8j0ylTkZRKzNOmEdi0jSHG/szOnM159ul0vv46XbZhWGxakgdHHzR2gw2CkomUkI0BaaPQe71cETuNPznP4KSmAXzjzeOpnU9R2VvJeQPOo/v992nJOI2wLAEyAWPk825qdSTZUX3nrsPOk8UVZmRXJSuMBrKiBmBUuThdm8879ln83vU3Rp08BMdYOza1TKtCRaLURYekILVuGA+8ch9fL3j5e9+Hz155ioriT6n/aAtzb72S16+9mriAHptUQI9SyXlZv8W9JxdPwT/3svrjayhu2cE57uFc7zobc9BAoUZGLYWI7u2jPbOXRm0jq95/5qi+F/7bePwhZFn+qYchCIAIRIVfMLUzwNCeKtYYDGR5omgdNIOm8h7cDj9Vee00lvagN6uJSfrnvsyETCuOdg9Lnt6NSqPk3L+O5KI7xmCx67+3L1uKic5GFx6nn8rcdjwOPyNPT408Yf03BosGtVZJ3b5OfO7Islpnjw+j9eBA1GyNRimZUYa8SCior2yi1Z6AMugnxlGNNqyhR6GguqnqoLotASU+f5B8g8RgXTxRukgyixH2EagVanYlD+d85SZqPTGkcw6hzgoMbhl/q5JciwsjKgbXG2hKTiXnzNmEoxPwGTOJ6erjro57UI4zUG2+GJUsscJooHLvlh/0/gC8/OZDnLK5kJGbv2J06RBO22NjpDaJfomJpHabqDcreaP1QSbXLefNJ/6Iq7fjB/chCILwQy16ZQ5L0tKYWbSedcrbmKN7g8cTU/ECeo2FN6Nj2KfTMzxuFJ69eyEUQj961EHtaAcNQvb58NfV7X9yJ2u7SQ8oOKtfDOsyP8QWbGK10cCZGWch5+1DGReHpl+krPmMMwi73bwRcyOPTn6UxltuxrV7N46E4SQNPDgIBYhLjQGFls5AH9pgJgCh3Xto6irg5PwUsm0jea/4PXRKHae503GuW4d38Hii4w3oo5So/ZF2s4vNqGQJt7IDl9t1yL7ak+2cHN5BoU7L9IwZKFPUDK6VSRnejW9iHKusMtlSEclBH12qMDKg9YZQ97eQWlDE5/42ijavO2Tb275Yxjvjh/JY1m+oO2svDoWKokESBamxdBraUMsS4xSZ1F91FTWX/p6O+fPx19SQMnkSGp+NNY0LaPZUktShp9TiQQYGd1ezNz6KfjVhQsVHfiL74k3XsuDye6irLT9i2cPJ73Ozp9d1QoLDqupyXr93AnOfuohgMHTc+xOEIxGBqPCL1N3bhTLaQrKUR6NaRWqflnZrFgmZVuwpJhpKumks6yZpYDSS9M9EQiNOS2HKbwYy4tQUzr/1JNKH2Q64fjj2ZCN+T5D379vGqtf3oTWoyBh+6LPiJEli+NRkavd28vHju3D1+nD3+g/5RNSoVaNBRzgUWQLW2+PBYbUAYAj1oZE19CgVNLUcHIiqnE7S+2op0GqZlDpl/9d1Kh0j7CPYo5EwSj7SOtvpnvQNGcqTWTkqgRm9m1hn0HMBo9G5XAy//BoK19QjOS6kVx+54+9dlcZTwZvJSGsio9fMNr0OOmuOOE//qix3F+EkBdFjbSTrziEwsRznqYX8Y8QIHkg6l6fSh3O1+yMetcWyILmNaM3XLF/w9/317yqt49q9B79uQRCE/5S3rYuR9aU8qX6dDJuZsigra9Rhrsm+hjP7nUWRRk2dSsEIaxbtz81BMhj27w/9V9pBgwDwlZWTbkkHoFUdYkPyy8yTHya2cS3bJ19LX8jDmelnUl4VZu3Qe/E6IzcpjeNzkAwG3Fu24i0txb11G/o/34IvoCBxQNQhx56UlQJAb0hCEd2PsFpLdcXH7O3Zilry8+iUR9AqtZyRfgbu195GYbHgUNiwp5hIyIghFDTh1SoJdrYRFTJSqVXy2epFB/VTtmcXNXod7YbIDcLJKZMZvK+PfsuKuDS8gImWIp7Uv8Ud8n1onTF4lUEcCgWpPa1UjqwlzjSFzNzNLF+3NjLnHhc3vf80f19wP8+++yhzfdWUFKXh2R1krvoaUmUr2VsthAI+Nhs1jLEMwPHsC8ihEPoRI2h/9jmqzr+AySPOQ2YPfvUwNrd8SlxnKn3aAGVqNQNCDez0DCdanUrV4Ghq62sP+z2w5M0XMQ5U0TS7keUvvnjYct95Z91qrnj2cUofy6FzXyS4lmWZ3yzZyq+W7Oa+T+48Yhv/yuP18cZLf+Pl285m6dLX2FvfxX0vvca8ZRsPWb6xoZoNjz1D88CZKIMjeOPeK35Qf4JwPIhAVPhFWrvgZXJjY2kwt6EOg9Qt4ZCiyci2kzIkhqbyHpzdPjJHH5hISKlUkH1aKlN+M+iQTygPx5ZsAsDnDjIoJ55JFw08aEnuv5p44QDOv2U0rl4fy17IIxySMUYdvEdUkiQsfplgKHJWqCKsQamPjNlr8KAPaelVKOhprz+gnsfrRh0dRYy0l6AkkZM2na4PPsCxchVyMMiUlCnsdTVQp1KR497HP2xXUzdtB9vrh5Kt30aPUsmE5sgvOXGnTqVoUySbY6+URlhjYFCTkpId05jQWYjGL1GnVhHlaz2quQrJMu3+APeU7OD19lncn3U2tWftYOXAbF5K/CONu6yoch3c3/gmH8WEWGrRUCmZeCDWRpt3KwDBcJgPPy1m5coKsQRJEIRjrjQjkSmqpZyals6pNjX3paRj09n447A/Mjp2NEEiWwVGr6nFk5dH0mOPorRaD2pHOyATFAp8ZWVYtVZi1CZq1Wqo3gBtRXD6g6zQShjVRsapB9KoHUwYJVs/rQRA0mgwjB6Ne8cOut97H0mrxTU4ss0iccDB/QH0G5oCcpAyZz17ezbRatYR0+1CY74EWdtOhjWDxbMXc4vlApxff43x0stx9vixp5qxJZkIo6fLFoOhr5UUh41SjZr2koODn1Wfvo3Z7WCzQU+02sRgUyYxBbWY2+uw13i5PvwQmaFdNNRPw9YTCchrlFqyfNUs15yGb/LXxAWmE+4s4eUXnuWvC15jz75oFlWcxMsVI9m4uz/KJg+KTj/BXV7aBqgxZyUS5W6gTq1mdt9g+r5age3P15D+/nv0W7IYgkE87yzAkVpPrMeC2jCDrLbIk+ot0fEMUjbQ3GLH19+FO1DBF0/fQih88GdIY0UFlapqns44j+eV1xOKNzL3hlPZ8vXb+8v4AkHevPFa/v7wffz5mYdRrpvH1f4XedjWQ/VnfyDcso9llc2Eix3oSrtZ6J9OY1HxUX3/hYIhnnviVsIFPvTd/dm1dyeffvQ4qkADqtWf8OXmbQeUL9m7nY/ffov8AQHStu6kr3sTjWlpfLPi8Pt7BeFEEIGo8ItU09qG0uthl17NZGUGnboMADKG20n5dk+NLcXEgDFxx6S/7wLR5MFRnHHFMLImJh6xTtLAaMbMyKCrKbLk6XCBb3Sfj0C4K1JGNnE6OQRVWjqkHkw+HV6FArfjwCBwwycLyLfH49c3owjLpL76Fa0PPUzjjTfS9vQzzM6cjUJS8HFsGicriunap+dZ+UZmd26gWR/Z65pQ2IRm8GBKiv24ev0YbCo8iihCcSMxtdQz0zWZmOYZ+KL6EZIktFILAf+hM/g++9TdTH/7LabMf4/pcxZw9SOvsGNvOqp6F97cEM/ob2F982TceTpmhbaQZ72Vk7Vb+dRi4fSEM5jQMxxjSEWN3kF1TTmLV68go7ceuT1A21EkvBAEQThajq5O0l2lzLHr0BntZEZlUuuo5coRV6JX6RkV9+0SXFnGtGoHhgknY5kx45BtKfR6NGlp+MoiydcyogdRnZ4D97TA7VXcJ3WxrHIZZ/c7m2DhPiQ5EuAWb2mmoyHys9gwbhy+sjJ6P/sM6+xZ1JS50JvVB51t/R2rUQNSC17JTFHPVtqjh6MN+BhZ/Al+U+QJYLolHc+b76GwWAhPmQWAPdUU2aoiKfBZ01BJLhKrffQqlaT4KwgGDzzGRetQkeFsYotex8SkSXh37ELh9SEBxu39qCo9labG66muTmaEtz8Ae2UL0xR51DYlM8/+J9xj95Ien4nB3Ul7p5p16lvJ4ypKpD9Srfk9xdrL+Ez3dzLcjeTF6Ckdn49drkCSZfq/vx11ehq2K69EkiR0Q4cSfckl9C75lPiBk7B0LkajyqR/Qy7RYQNbzFamqfaia3NSlqJkwL5eGocOZ8HTkTNIQ8EgT9z3V+6a9yA35C/npd6ZeDf40GxtZ19SFDEZIyh/P5+Soh3Issz7N/0Jhwrs1JCjfJVFqUVcl2gnX6flUbuF7ncuxrLocgq0V7NMdw/qchcrvvrwqL4Hn3jwRhSxMbw1eTLvnzGGmIQo7IYw6bILZQjqFn2ELxB5P6qri3n/83ewlvcwsW44CTFnM9B9DvG7yijYtY93/3ELoUMkNBSEE0EEosIvktYdJsNVQYVGwyT1CDw6G5IE0QkGkgZFkZoVzSm/HXTA+Z7/CY1exRlXDOW032f9oHqpQ2P2//1QS3MBDH0hgnIkEB0e7I8ZPX6NEYUM1r5IHZ/vwL2TlfvK8YRkynQyU3pjcH6yhJjLLsMw4WRcW7YQZ4hjavJUvjAoGacqR9PmQpvbyW3qRWy3xjJEkUQwt5CKoZew6aNy4tLNjJidCZKCvboQsrsTpbOZCVIW6VIksA+r23lu/msHjf/VR+9mp9/GvZVv8Wb9Y6zovZmlir/zkf4hXlS8is7hRipwoinsJkMK8Jz+bbzRidw8dAJKhZpbJt1GEskkyHFs1etoXXIzs7dexseah7DRy5rykh805y6nk1f+8RBu56H3PB2tB56+mRtfvJ7GMpHdVxD+l7wz51HCqlwa1Srun/Iob5z1BgvOXsClWZfi3LgJY6uDDEsGU3sSCDU0Yp39q+9tTzt4MJ78fMI+HxnWDGrdraBQUtRZxKcVn/K7Ib/j7vF349mTi0dvIzUrCpVWSd7qOgAM32Z7lwMBgmddQm1hJ9nTUr9324is6kBSRI4k8xmzCCrA3lmIN/bbc0aDQVwbN2I9dyZdXZEgxZ5i3n+WtU+RitYNUak1kTFoavlkyeID+uhLNZFIGd1KJeOSJtC3dg3odARUCuLr2mhtSaesrJrRUn9SeyL5EvK1WvormhlRV0xlRwYfZJ7O/JyhPJE4hevdS6hX6ql3DadClc1e5TgaPNkMUbWzUPMwu13DebXvKtTqFvq1gKKuGft116HQ/vOzM/p3v4VwmKnBQewZ3cqUTbdRl7ibnOQz2CN7UMl9nBnaSb4ijRjNeIZucVMhu5n/98uZf9vfKB+UQv/mUi7LW86vmtcxS16HBBSEkilpdVB5ipJ1857ig3vuoDTJQt7gAXgtm3g+JhpPwEqSJ55x8jAqtErWKHs5yV/IKvM4BtHIk6F5FJkPzhvx7xbNu5+A3U6gs4sllfdw694PWNh+EnN6T+PB0Ol8PCWLkNzLoifvY9FzD7H41RdRJdqonQ3555Sz76xtdE7cRIp1Mj2eAjp8Rub/9aL9Z5cLwokkAlHhF6e6upRAQjRWRREAQ4IJ+DUW9AYlkkJCrVEy+8bRh91f82MNyknAGvv9SY3+XWyaGa0hcu7o4QJR2RUGpRcVMn5/5BcPn8aAxavA1BlZzhvw9+0vX16ym3atk0RXE4VaDdObbCBJ2K6+Cv3Ikfiqqgj7fMzoN4OOsI9yVZg7MiqY6s8jWtHBLo2Smc0JeDTRVPbYyZqYyIV3jCU5MfILjNMaeRqwr3gBH+1+nJwyEwoZerVu8vHhdkRS4u/L3cb9D1zDyrgkXgs8g1VXS6FOxQp1JvODIxjubWS25htekF5F0e4j29jN58O/QR1wcHtyKhWuZuacNockcyK2Ki9ZrXH0KpWYvNtwy1oskpv71e/yTcnR7xNtaqjjxoWv8bjjZP62aB5dTfVHrvRvwqEQb111IyOqUjh5ZzzzPnn2B7chCMLPV0uUkSqDC3tAw4SkCSgkBaPiRuEvLqH+6qupvvAi7lbP5oqmAUja/2fvvMOjKtP+/zlnes9M6qRX0ui9hyoCigVQUHftZe19LYi6ttW17arY0LWwKoINBQUE6b0GAiEJSUjvycxkejm/PwbBvIDlXfb97V47n+vKdSXnzHnKeU7mOffz3Pf3VmGYPOlny4u6ZDaBlhba3niDNGMa7Z52ntz2JK/ufRW1TM2tA25FHhLoWvEtXpWFuDQTBaOslO9sprvTi6Z3IaLBgOHcKRQX+9EYFPQdn/yzdUpqL4KgQa4ehSg18vzFIgKQ0hqeM7xlZYRcLjQDB3HsYDt6iwqtUUlUnBZBFHBojYjAWu/dANQqJfY3HjhRftm+PewwxyOowmEbBd+V0bX4UwwTJ9IWC9rmaq5wj+Ya7bkMcmdQ27GfxE4rWywKgoLI7437UO/r4HB5JrU7E+h95DDJmmIuSI3mmsxWXpda2VylZ6VbhWz6X0gUOkiuaca4vxm70s2IShEEAc3osdSVdtDeEN49Vqano+7dG9/adfQadCELzgthG5jORYVT8UkBdlmSuFT2A0c6M/EMLsY36Si9G+PAruPvhSNJPlLP9cJypoo7+JvyVV7RvM085SIaOmLIC2ahLt+NMy2fYk0TacFoCptK+NqgZrAyk1nFicw+PJyJuzNQyKN52tiL4fELKc2NZqezN5PF3ZTJzDjcLs6EFApRXdOC6Gqmj/YzFiRFI5gq+NzzMHs911DmvIxLDq1h5+ACyn3ttDU0823OEBwVXpYUF/Fe1SW86rmdtxOvoLX/ZjJr+yE1bsBWUMhnbz/6S49+hAhnnYghGuG/jo3vv8U+czQ2TTsKSSCuNYBPaURr/uWVyP9rRFEgOS+8o6g1nhojCiAF/ASUfuRCAI8k4Q5045YrsDgklM5wChhjqIWQJBEKBtny4sdYu2VEBSvwiiKZpS7aBs/CqzCgzsuHYBBveQUjE0ciILDJYuVqcQUPJu3jw+g4nCEvQ8slavMuRJSJDJuRiSgKRB2/f35db/xyLfGBGFL7zcXZnoIOLRUKBVn2WhbNe4K/33QTn331d6ISLKTX17E4Ss7VySYeTZJ4JMXF33JszEkoYo98COeotvN09Aq+kO5GufMNlmUMZGtHCfcNuY8R8l40Pf00sW2HsB5TAAL36wdwsWEmH8enM07cR0WH91ff76Xv/JWGVi0/eG+nusvE3Vs/YMFxt6znH76SF2+fTX1Tzc+W8d7t9yIf0YR/4lf4x5SRfVTHO8/cQ1WL/Ve3I0KECP++6KUW9qpVDE8c0eN4y4sv0Z1QQDDaSsL7qzHuKkM3ejQyvf7nyxs1CuOM82lf+A45QgIAi48sZmP9RqakT8GoNNK9YQPOLh+SIGKIVtN3fDKhkETZjiYEpZKMJZ9ieegxakrayR2WgFIt/9k6Rb0SBBG5ZhgBRQV3a1qpT5DI3dmB5Pfj2rsXAGdCHnWlnfQpChu2MoVIVJwGfa/wLuyN4lJ0qDikUhLtbTlR/ldffEi3U0atKoQuIMBbH6EvKiLxySdoTROR+d00NW1GCEqUq/fT4mtnWEUmNrmfHZkjuCT0LYMsfmRV3YxT23lf/wqvxVlRybW4tTLWpYmsmqFGedVluFPDbbnYt57F2r9QpZQzqEpGzdCrWfRMCV+9vI/FT+xg93fVABjPm46npIRzNMM4f+Bcrpn7NgPjB6IUlWxNzGOUrAR9s4N3M6fySML9lExqYe3gDD6q+ROPy97n2fhe3N/3Svw3boZBV3GduIIhnSVUD2ois24ysqq9DLBn8WVCCpnqtdhkMq4v+iM3vfE5YlYn1ZpyRgYMhFStpKQsJ6FexB5woRb8KJ0+/vbsPbz12hy6OjtOGbev332RZmsSQd1q5sdG87UmxH2xBp63KjgvI4l7s/txqXw1fasOYzInsik3h+eOLeAJxVtslN/PgKYy1FtaqK+M5rOUiYgFQdLs0wjW7aL7iAeP99fPlxEinA0ihmiE/zqqxQCiy0OxRk4fbQrOFd8SiIpH+xvEh/4vGXRuOiNnZiOTn/7f1S+48Cv8qAUBbwhKbTtwqZTIghKBYNglN0Zs4ofqSj586F629QnSkmJFqagjqlsidMxOsW4cHz++HXV+HgDe0sOY1Wb6xPRhkzkOWcMuUtrW8KFRx4Skccj2HqbDUkB63+gTO7UqnQKJEMkNG5BZrZi6Wmmrs2Jp7yClO4bDSjVj3PvpzDJwILONTFc076qHc56wmtfMURSljOOxYY8zqaIPWa4EavUHWVtfSKNo4TLnImRqPVy1nPeMBgqiC7gk9xLa33mXzg8+JL2kEqOrgaHuTGpNjXTErmWxyo9RcKN3nppD9XSsfv8dVqTmM9/9HlliIzd0fcW6nf15URzL6089QoYvj+T4Xqx/YiHffLbotGU88eC1lE1W8HTGDdxveY7l2QNR9vFQLrpYNf8KNu7e91uHPzzGfj/bN3/D9i3fRsSXIkT4jjc+fwAAIABJREFU/4wlWIpLFBmXf/6JY86tW+ncvo9d+TdzpP/1eA4cINDQiH7s2F9VZvTVV4PfT2GxjbfPeZu1s9dy3+D7uG3AbQB0/uMj/AnhVCvGGA2mWC0JmUbKdjQhSRJuXRxVpd2EghJZA39Z20BviQ7/EgrgNTXjpj/DenWgtDmpv+9+nBs3IYuLY/dWB0qNnN5jk07236rD5QkvPCbvKSDHkc52tYZ8dyVf/uXlcPnuEAM6yzmkUlJks0IgQNScSxE1GhxZ4bqba77lgHEre0tXIioLKaiR0ApqvohPRfS7+Mj6CRsv9PGm536OqQU2KOC6vtez+tK13Dv4XoJ4eOXgc5y/5gY2WtK5Qb6cfKGGZtGMpU1HhWYQsal6zr2xN6m9o9m5vBqfJ4D5kkvQDhlC84MPMW7AbOISktHINQy1DmWlvw2JENM8Wzm6JwHF2jbebb6U5KpWKvVdvDZ4Nou0Hr7v/p4lXcVw7p/xKC1cJy3na8Uo3CNKSNGP46tRGmbXrGGpSUWyJp7h1uEAzL7uORozejO0ZAB6ERo7NvJpsJFKffh+ptmbSOxQE7WtkH+8dF2PMbM77BypqMTq2soXRjUzk6ew4/IdXNv7WtZolIgaC2uDHUxNy6SXbgV7QlrOqd/KDksLI9NTOWBS8GXMAi4t1COr6Ka4Jp/DA5twDjxEWv0Q9meLfP7evF/1vEaIcLaIGKIR/quQQiGSOyDTUc0RpZJzm5Px19Xh18ecccfx/zexqQYGTE494/mg3INfE8Ib6MQdCnHUsRe3SgGAQx02wmQyJ4u+WUK3bTNDdrgpNmvxKrvoXSfgVofTyHhdAZqdekSdDs/hcFzl6OTRHPC00DL+AXamD8QhBZirGoPHK+AKqYnPOKnKKIoCksxLu0GGWHsUjbuVMSVPklC/iLhaA00KkTz5IbaaYxheMZSdQ+T0qyql2thMUIA7B97JzLyLGZ6RzbQNg1B7NXzZez27B90FhRfBzHeoMidRYa9iRtYM8AewL1uGYcoUBKORGFuAc4pHkC0zkSBpqJOFaJbJ6OWqIRj85XxpR8oOklrfyHDxMAFTKjNkW7hHvYS+bWW8rBvCxxPVPNt3MO9MyaD62CE+fbdnovU927eQIU9kSXAqQoWPUUEdG1xFrCuMpk+1ieq+fShZ9MxvG/zjfHjLLRxbuJdDL3/Omy9ff1oVxwgRIvzrWfLGS9gVrQAMShgEhOeVludfoCVnMiFJoMGmw2ZIB0BfFDZEW47ZWTR/K/Y292nLVeXlocrJxv71Nwy3DidWG8vvC39PvC4ed3Exzs2bEcZNA8AYEzZaeg1NoL3eyTv3bmTRI9tY948j6ExK4tONv9iPOGt4TkmtXYOYGM2OwvmsihuMbc7vcaxeTfe6dbT0vZCakg6GTE9HqTm5w2pO1GHv8OLWaPA3FJNSLaNbJqBQVFEu76J8/14qM+IZF9hNiUrFoLZwmMuP6Ws0hnScagNxjhAl33+HQm1AruqDTzjEcPMQfmjZjWviPBTlK0j57irQx/FB36noFDrm5s0lWhPNlYVX8sUFX/D+ue+jU+i4L0rAIwh0Fd2DodmFzRg22kfNyiFrQBwDz0kl6A9x7GA7olaL9ZmnQZJwFxef6NclvS6hxdvB2oRs5mi2I2v3EGdUoanoYBrLuTs+ljfat1MQXUBRchHP7HiGJ3e/gDjkWibL9qAo9/NJ1gQ2TGhiz5F8MnSbOahWcU3/GxGF8Ou2Vqejb2OAQFMz11XPZUZTEcf0TXwRZ8WDggJvFV2ZWlZNDmJsymHr7t0AtHZ08tFDd9KaEMdBUzn6kIx7xzyGQlRwx8A7eG3ia3x+wee8M+UdEqNzeCTWwm2eV9HpN7PAbEIhVzMvxkyHs5FnWm/m2ox2lOV23grcyPrcTJQ5MpJLj+Dd7qSjs+sXn58IEc4WEUM0wn8VKz95n9ZsE1bCaUvydnUgS7Ti8Yn/toboLyFoJDwaCYe/DVcoSFCScOiVIEhYPWGVWpsoog250fmnYsiwYus2UKcUGNCixqOPP1FWxd5WVHl5eErDhuj0jOkALDbq2ZA7Ho1cQ1adH/vxfHf/84VHkAc4kKGnYXwuAFJHEy9fLBCSlQBwSCMgdEocm1bMd7Zh/FH6iM+MUQyM7U9mVFg18eLfz6c+9WtmbvRg0wfZb/bA7PcgazxrasL55CamTsSxejVBm42o2bMxFBWRcqwNZ2c9fzj0B66tvhKANRoD/bwVLN/83c/eQ1tnB5uyM3jQ9yFfG1M4NzGacrWK2/iCz1WP8Wb780RvsDFm6w6krQH+4hzL+4KCrz5ceKKMTYveZ2d/gUCxB1dliK1rjqHa1MzypnOwDXaTsruYNmsvqo4d/U3j+9FTj7BrcCzrB7ZyeKoVQ0kiX3/x9m8qI0KECGeHw+0t1Kh9WAJKDHWd2Fevxvb557hLSmjKGE9sqgG1TkFD7wtRFxSgSAi72u5aUY2txU3p1kY2f1ZBR2NPMTRBEDCedz7uPXvwN590cZUkidZXXkVmMhHqNQAE0B8Pg8gZEk9KgYWMfrGMndOLzP6xDJqa/qtE9qw5YUNN52pAl9mHEf0LuDd4C1E33ULm18uIveN2qvUDScg00W9CSo9rLVYdkgS23D4YHW6y6wchSlCq83NAr2XJP15jnzyWZNURnKJAerULVU7OifQ1oi6PVpOfKKeNyYfriY2di8nRQoepjXNSp+MJelhrzYa5i2HcgzRdsZhVjVu4OOdi9MqTbs6CIDAwfiAPDn0QpxRk3YBZPE8H1g6JrqhsVGrxhLhSQlYUGqOSo3vCiwgKqxVBocB37GSe0LHJY0nUJfKpJYbegUOsSX2fbaZ5FMfM46DRjojAaxNf481Jb/LS+Je4Iv8KFh9ZzAprGgFRyXXOZVQezeSz5ou4yL6OT6LUJKgsnOvMomrWbMpGjyFot6Nq7KI1thLhqJ/UAwnkNGpoMFRRJiXQW6hmb5SF/N0rKe2nYdvSe9hTcoAlD9yIU6lAHdjNHo2K6wquQt3tI9DZiSAIjE0ei0llYkjCEF4/5y2i1dE8bDXyQrSJYbH9+WjaR9gDLj4efS2CIOPh1vuYIBZjPWTjW+dUDvVpJNHZj9qBMaz98tVf988QIcJZIGKIRvivYtux/ezWxxDUNIIkoTlSi3LoGEJBCY3hP9MQRSfDq1YjSD4EQY6oyMOv9qON9TG51I8Ygka5nAx7I53DnNT0qSK7rY5KhYKcFjn+pF4IAsSlGehqcqHOy8NbWooUCpFqTKUopYglR5awvm49w6zD8O87gCO+AEEUiE0z9GiKUiUj3qfhriHl+JUie9NhrLabYSoLyhDsUqso7KzkJc8tnHNsCx5tEzVygVm5l5woQyGXkz/0d3QMczHcOISlFR9z/arreWTzI3xQ8gG9o3sTK+lpef4FZNm5tBlz0I8rQun1ogiW0VS/BV/VQXRuFWs0BvoLFSw++vNxnR898yg5jVXIlW08E6el2dPOO0Nnwb0VOMbMY7S8hDeVL/GycgFrVfeyPPhHeleU8b7Pz4E9O3n6j5djTtOzsns4cq+f1+b05vObRzI004KsxM635hwSNGNRNpSy8pNHfvXQupwOyl2HGLExSNG+eDI37mT9QA9dqw/idkfS0kSI8H9NUBPikErBlGIllefPoP6222mc9wihweOxO2UUjkkkOd+MI66ApNdeZfuySj6ct4Wq4jYQYPfKY+xbXcOu5VWnlK0dOgQAz4GTu3SOlatwbtxI9E030VrvxhitPhGmodYpmHF7fyb+Pp8+45KZelMf+oz7eZGiH8nMDBvIBzJMZKePYEi6hd3zJpOXYESVmUnUtTdgtwVJyTefYthaEsPGnbrvJFR+B/us7xHtD7JVo0bh8JGjSiKpvY19GjlCSMJwpAHNoIEnrpfF5VGW76QxfhiygA+puhpr0w66LSFGZBaRqEtkReUKyD0Xxj3Ae0c+QULi8vzLT9uXIQlDMCgNzHcUs6zyG6aKfemKysGac7LtoiiQ0S+GmkPtSJKEIJOhSEnBX3NybpCJMqZnTmeXpxlbzjlktaxCVBtRxKSyLD6VEUkjGZs8lih1FApRwX1D7mNQ/CCeLV5Ac+8LuVSxkdjKGlQlHczRfM8utZrzcy6i9U9P4quuJtjWRvf6DZAYoCE5i5jaVUjupRSKHhB8LNPIKRCqORqIJb5rKsHOw1hqBrDv6Rdp6p9Kd2oyDdpyooIi04u1lI8cRfmo0di+Wd7jfphUJv42eQEmSxYylZE/jX2WbHM2o5NG82XzdvzXrESMSuXlqE8JdQdQ72jlM+0MyPHh7KjGsbPhVz1DESKcDX7REBUE4V1BEFoEQTh4hvPjBEGwCYKw7/jP/LPfzAgRzg6WJieh7hAVKujr0CN12SC3LwBa03+mISo3qPFq9IQCTQDIVIWEFA4MfZOgU2RsS4CDSjWDfaVsS4hlrXooQwN7aJHJiKlz4Y1OQWdWYUnS09XsQp2fR8jpxF8bVoy9rs91dPu7aXI2UWQegnPHDrrj84hO0qFQynq2Rasi3aNmjrk/uzIlspskBrXH0jV6IYm6gezQ6BgUPIJ+XzMPyJewOCYRg9LA5LTJPcqZM/MB7rtqP89OfZ6B8QNx+p2srVlLZlQmj454lKbHHifQ1ETl+HtZvuAgruTe4QtlTlz0p0s2gIy2ZEo1ErlCLZW+0yd2B/jH2w+yq1cGc73fckt8EsjkTMuYxpq69fxh23yud+9m+QXPwNXfws3bYMoz5MfqeFbxNsb6LpZt+Za0+Gi+zE/CfVTgfcNrTPtuLAN33MuH8YuJkrvYX5tH09ASkp35qMrMv3ps//bX+eTaB1J7vp1tM7uITSpi9MYg+/PgvWdvZfHCP1Ncctqv5ggRIvwLEGilRS6nqEGPIi2V+PmPoMrNJTTzBgASc6JIyDDRbfOza4uTXSuqkclFdCYVA6ekEQpIIMDRfa14unvmVVbn54NcjvtA+H9a8vlofvpp1IWFyKfOpOZwB72GJZyVfhgMSiTBT3uKnqS0sNK5RXdyDuxqcSFJYD6+o/hTomK1CAKE4rIBmGVXkOmK4qhCQZqjgV1DOhjv3MMmjZYhtmhwutAOGnzielNKIf50H3pH2AjMpJz4pu20JUOUTsfUjKlsadhCh6eDFlcLS44sYUbWDJL0Sae0BUAhUzAueRzugJtrel9DjtOKWxNHYk7P79roRB1+TxCX3QeAMi0NX/WxHp8ZmzyWoBRk6/Ar4aZN+K76hntSs2jy2ZibO7fHZ0VB5IlRTxCUgjymciGXy9lgms+3ye/TpGohKEBRQxTew4eJf+CPyGJjcHz/PZnjJ+HWpVE9o5aUYa20eGZilen5wRLAKLhR2YLIswXSjspQ5kTTMcZK2j47DXjYp5Exy55Nx8t/Qz9+PJoBA2h88EHcB0sIdncT7OpCkiQKowtZOuMzVs/+nkR9YniccmbR6m5lZdtuGHUHBsdRvjpfAL9ER6WO3X0C5B7TErD0XGCOEOFfya/ZEX0POH0m5pNslCSp//GfP/3zzYoQ4V+D0WAm33aMYrWKsTYrEhBKyQFA+x+6I6ow6Qko9agJu9iK8kRQODFcfgcAQ8sFKpQKBouH2dk4iOKGAjLUB0lsB7nbh1sVjSlGgzlei8vuQ8gMu9X+GCfaL7Yfq2et5vlRzzLg8S/wt7bRJY8/bRyS3GzBHorm/gOriE9RYnbA6sAsbpuQzQX5Y6hSiAyPqmFD/leohFbWKuG8zPNQBsJxVj/FYtBgUVt4Z8o7fDT9IzbP3cx7575HzJL12L/5Bt9VD3G0PPxC0dQCQbkMRdBAfP3bDCxdSUpTLXaZSLscrJ3tVOzee0p7G1qaaCu14+/0s97spEoJfx7zZ+4ZfA8J2gRaXC10ebt49vB7rJK6ea1hLcvj0xBuWItNNHGNfzkLGc4zaVPYWdyb8aF9jPZvQzAlQ+12VPs+4CvjS6ibHHwcPRkpw0V7dvSvGteP/zyfuGMhdpxjY4HvMhY3zWDNaDvCcA/99gm4xDiO7lrM+qU3/conJUKECP8MkiQhSHUIkoS5qgPd0GFYLruMzK++pM2hQq1TEBWvJT4j/N24d3UNKflm5s4fxlV/HkW/CSkkZBqZ8Ls8QgGJsp1NPcoX1WpUOTl4DoTToDh+WEegpYWY227l0NYWBKBgVOJZ6YsgCKhkboY5dCRYT91F/dF12HIaQ1SmEDHEaHAEdQgqFaqoGfQach1uUSRVquCT1osoEvayU6tlUlt4XnJYe+PoCHtxpCXGEy1T0GBuBJmMqOptVCQHkasUiKLAtMxpBKUgHx76kNvW3kaIENf3vR4Af1PTaQXbriy8kisLruTW/rfS2RRue0xyT7ViU6wWAHtrOE5XmZqKr7a2x9zTJ6YPRqWRb4+tZo23hTt/uJMfan/goWEPUZRSdEq9KYYU7hl0D9vaill7wV+QxxeQ27aa9fFZRMtM6Bd+gdxqxTRjBoYJE+neuJGB/SeR7faxv/U6XrbNZ0dOH3rZEmhRCdhEkVxHNeW9azArCvk8R4Wn+iBdfeNJ9WzDKwhM2OBBnhBP4l/+QvKrryAzm6m/6y7KxxZRNnwENVddja+uHpkoQ6c4OX5jksdQGF3IU9ueoiplEKhMpG9/jEd7VSGv6eZbJqFJjKIsVo7P/8u6ChEinA1+0RCVJGkDcKqGdIQI/2HsWPsdB3OM5PoP0CiXk9eioSL/Mr5dGlaW1Rr/PVVzfwlVVBxyQYcmGM5RKggiotKBrE8RaDU0t2XhFyValCGG1+5hUG0xHUov6c3hydzlV2KM0RAVH56k3XoryGR4Sg+fqCNaE80YhxVfaSn6+x/H74e40xiixig1npCBSv1g+mrCudAuajqGa+tWBseHV8RLgm0kVH3OR32mEJBCzM2dy7ErfkfVrFkEbbaf7askSXR+/DG6MWM4KuZjjNVgjNVQX9aFPz4ai83L9vM7+GREKbUp4foPqpT0dx7hi41fU9vh4vnPN/PwUzexbON2lr04n+qsFK61f8kSg5FR1hGMTR5LnDaOlbNW8tmMz/jr+L/S7evmnvX38Mb+N3hg4wNcvHwO9+flM1B+kGEN++neCXmeBhYY3gdzBly/Fu46CBe9QbqrhOmyXVRXWNmXradFbMPpcp6xjz5/kLceuBFfvZO68RJLSycz/tBGbji6mK+ap7O4T1/E/uB1VJOhmIOxfBgVNae6+UWIEOHssujlx/HJWklpBaHbhWbgSXfTxqM2ErJMCIJAbIoBUR52Ce03MfWEe6jWqGTm/YPJH5mIJVFH1f62U+rQ9O6Nu6QESZLoWroUeXw89BlK8bo6MgfEYbCcvTRjMrOZGvUQZLJTXwU7GpwIokBUnPa015oTtHS1eFD37k18bTnjMsJeKTpVHVlHK7BrbDiFELlVPmTZvVj+fjVrPzhMe303WkeQaFcs2/JECAYJORxsyRMwhI6LMJl7kR2VzcIDC6myVfHSuJdIlEzU3nIrFePG0/72wlPak2vJ5d4h9yKXBGyO8Nxmiu+Zt/vHPN6244JRyvQ0JI+HQMvJmFyZKGNU4ijW1q7lznV3sql+E48Mf4S5eT13Q3/KzF4zSTGk8Fb115TMeB7nVctZLw9xw8F4fEfKSHhkHoJSien885BcLrqeehprlYeNw0fRNjaRq/QfkV4X3l0+oNLQJ1DJl7KphFKdjDr8MVn2AaxRJ+LVVtGvTkB+qJLoa65FptchN5tJePwx/LW1KFNTibn9NjwlJdRceSXB7p7zjFyU89K4lxAFkReLF8D058Hn4Kqah7lIsQ1HuZzKXNC2l3O4ZPcZ+xshwtnkbMWIjhAEYb8gCN8KglB4lsqMEOGssmH9t2wJpKPRVAMQU9aCLS7/xPn/VLEircWKDBVI4UlH5elAobYx8Pnd1OtiibcFADioVDFR3M9UYQcHVSoy2+UEFWpczhDGGPUJQ9TWGUCVmYnn8OEe9bh27ASgO6kPwIlV/5+SkqBHhsB5zbdykXEBUlYOyi3rqbv1NnJDcahlKnblTsR+6Yd84q5hUtokrA1uPAcP4j10mPq77v7ZvnpLSwk0NxMaM53Go7ZwPFaemYbyLuSZecR02IhrH0VUhotxCjeSJGO72kh/Kig1GPnqmYfQrniA3GItVYufwCHJ8LrdSPoqWuUis/MuPaXOXEsu9wy+h1v738quK3bx2IjHMKqMbHE3sCY+g0Xal9iUt5SV6vlo8YaFleTHFzV6z4KoNO6wbEPW6OagmEhqjZsdm746bf8CgSDvPnAlMo+av4/ty9u1M7iy6xs+UD7Lo4oPmXxkHfsP5vBdnpU0XyZf5MvZVxTFikWPRNK6RIjwL6bG7qFd6WRQzXEF1IEDTuTy7Gp2kZAZ/k6UKUTiUo0YY9SkFlhOW1ZaYTQN5V34PIEex9V9ehOy2ai/626cGzcSNXMm25ZVIQUlRlyUdVb7Y022YNKcPlSgs9GFKVaDTHH618SoeC1dLS7U/frhPnSIdHV4p9antDNT3MhWjRpZUEJTcgx3v0kE/CHqSjv55IkdfP3CXryydI70CVGXZQSZjI2FYODkDuYTo55g3rB5LLtwGUXJRTQ8+BDd69ejysuj7bXX8NWcPu7fX1eHWxmNKEoY/kducEO0GkEAW8txQzQtLLrnO9azrNsH3s78EfP5ZPonrJ61mktyLzmujPw8zq1bT6lTLsq5rs91HGo/xJzlc7h83/M4fHb6bWpEX1SEYcIEALSDBxN75x3Yv/4aXV0ld7cs5LamtzEW90XffHzh1JJIH7GalmozR3p5sNTMYP9YN5Prt7JWp2buITOyqCiiZl6Mzx2g+Ida1h0wE/3WItIWLSL25ptJeetN/A0NHLv8ciovuJCKc6bQ8vLLSKEQVr2Vy/IvY13tOqrShsAtOyFtFM/J3yS+uZnd2kQSG40c/v7T097fCBHONmfDEN0DpEmS1A94BfjyTB8UBOEGQRB2CYKwq7W19SxUHSHCr0frgf4N5dSofcTbBYTqelyyqBPnVdqfTwD+74pBH4cyKOI7noZF425DVCvo8gSpUJqxOrsREdkni+ZyzVau0WzkgCmWPIceR68xABhjNZhiNQiiQFdzeKXfuX4DNddcS7C7GwDXjh2ocnJobQmiUMswJ5zqsqU7bsw/PiWfL28ZSe7ij0hf/Akhv5/OV16jX1x/dgleXnccptvn4PqD8bT+9W+gUBB90404t2zBtWfPGfvavW4dAOXuVES5QP4IK8m5ZvyeIMG0QagdTt63XsDvWrTEd+YTkCVTolbRX6jgKGba1LVYrBPZeL4ZMX0AUlwcv7ct52VzNHGaOMYmnz7n35WFV3JjvxtRyVTM7DWT9899H6vOyuqMQcjTR5DcuAYhbQRcuwp/fCEuf/ilIiQAA64g3b6LLLGO6o5ELCRRt37Xaev5+1N3gkvP96NSGb1/L491v8vjig8Qep1L0JLFi/qPiG9oYsPR4TT18zBu8was5eswHonj/Q///MsPS4QIEf7X2IwqKlUyCutkuBLz2b3Hz+p3Slj97iH0ZhXZg04qkE+6Op/zb+t/RgXb1N7RhIISdaU98xwbJk9GO2QIjpUriZo9C/nFv6N8RzN9xief2NE7W5hiNNhaXacYw8FAiLY6xwlRotNhjtcS9IeQcgeA34+uqgW9TEOVUs61sm/ZarAwsTsVPB46ovMRZUIPo7bN1JcRPhcre7kgGETngayQ9cT53jG9uTTvUhJ0CTi++47uNWuIu/ceUt58A0SRtjfePG27nDt24NLGYTIrTrn3MrmI3qLGdtw1V5H6oyFa3eNzyYZkZveaTWFMIfG68JjaV3xL+8J3qL35Fro++4xAZ89xm5E1gydHPcm0jGkctR1ltDsFsa0Twznn0N7QzXdvHuDz53djuuL3oFBgkmzkHpxE/pGr6dWSgsoaIt2YzmGdngHKGmSNTnZpc3CN6GRdY3+StetxCCIZZU5k46ayaVkt7z24mY2Ly6k51EGNMxqZXsehTQ10aNOJveMOCAVRWK0okhJpf+PNE0b03Ly5qGQqXtj1AgGZHM7/K/KQj9/JV1PSmY3eEIP76M97J0WIcLb4pw1RSZLskiR1H/99BaAQBCHmDJ99S5KkwZIkDY6Njf1nq44Q4TdxLD6We/yL2aU2MKU5Hq8qikBIpGCUlbFzev0qyft/R0yGBAx+CX3X5yi9NiRBJKRUEaNXYrPEEd/dSWxIwy65HpW3g4DfRhleojsMFMdOJzpJR3qfGGRyEUO0mq5mF3H33UfsPXfj3LGDultuJeT14tq7F+2QIbRU24lLMyKe5n6p9eH8pRMyYkg2a5Hp9Wj69cM8exb2ZV8z1NSPI51H+Kj0I67RTIRX36N7/Xr0o0cTc8MNyMxm2t9867T9lCQJ++rVOAZOo2xvJ/0mpKAxKEnrHY1SI6cumIYAnKdaw/nC09ynvRWNJpZKuUiy2IrfKZJdm8tOfRn9N65BOraLPQYjB83NHFWJPDT8IRSi4lfdc0EQmJw2mS0te9g8/m789x+FyxbTqo3ikm8u4cKvLuSpbU8xeNFgrrDvxqa18I7qZWQdAXzJQTrFU3ffD1WU0eH00jFKQ0N5NH+Svce1wnLEmByYuRDZjL9hCbaz2vgn4mob+V6XQ3L0OJKax7B7jI7QfjvBYOg0rY0QIcLZQKSTRpmMXo3QlH8ee1bWULG7hWEzMvn9UyN7GIqmWO0JL5PTYc0yoVDLqDnUM/JJbjaT9uEH5BXvx/rEExzY2IwgCvSfmHKGkv73pPWJJhSQKF5by6p3Stjw8RFWLTzI0md3YW/zkNnvtK9yQNg1F8AdG96l9ezdR6Y5myqVmpAYYL9coqjZAoJAs0NHQqaJSVcVYM0OC8d1Jk2kqDtAdUzYk2Ncox+d+vRCTF1LP0ORmIjl979HER/KN305AAAgAElEQVSP6fzzsS9fTvfGTXgre4Yl2L/9FrcxiaiUqNOWZYrVnMjlqrAmICgUPZRz/ychn4+uL76k5cUXUOVkI4+NpfHheVRfOoeQ86Trq1yUc0H2BTw28jEmp03mmu4BSIBiyAhWLCimcl8rjRU27PYQ6rw8YgNyypoaKK1bycH2UoZfcTUF0QUclLzoAl2cJ2zjYFMe/4gdzLyO91lmVDOqIxqbzMoPrlGUbKgns18ssx4YTHSSnrrSTlqO2fnhH6Ws/7iM6BtvIPPrr0l543WSX345PEaHDgFgUVu4a9BdrK9bz7zN8whaMhFyp3KlfDWhphCdGRLN8fGnux0RIpx1/mlDVBCEBEEQhOO/Dz1eZvs/W26ECGcbn9xHQNVGqVrJwEoBb3IBADlDE3615P2/I1qDBZPHh0A55s4juDRmnAoVY3vFEjUmG3koSP82PTV6J/7Rd3A4azSCP4g3EE8ABZOuLkSpDu8GGyxqHB0eZHodMddfT8L8R3Bt307Tn/6E5HIhDBhOa2031qzTq9D+aIi6u309jusnTkTy+5nWlcqc3Dmcn3k+s9ozkRCIn/8I8Q89iKjVYp47l+4NG/A3NZ1StnPzFryHDnM06Ryi4rUMPT8DAKVaTsHoRGqaFHhUUQwur0UaZiQ0wMgY2VFcshA1cjm97HVIfTwMPJhLinYW5rhRDGg+wqdGPSNjBzIxdeJvuu8zsmYgF+Xc9P1NTFo6iUlLJjFhyQTqu+vp8nbxyZFPGJowlP0dh/hyxJWkSw3M6V5FZbKMFr0L10/SrwSCIVb+/XWs+hje80/hWtc3BGVypBs38sGY67hp47186KqCq74hKtDKPcolHG7KoGrSZuhvo8+6Ctqkw6xd/uFv6kOECBF+Hd/84+/IQ/VYO0Dd5cGpT8Rs1THz/kEMnvbrcnf+FJlcJC7NSOsx+2nPCwoFoWCI0m1N5AyJRxd19jUMrFkm1DoF25dVUbm3lSM7mmk55kCSYOKV+eQOt57x2qj48G6pwy1HkZKCa9cu0k0ZVKo07FarCCCRfrQboWAg7Y1uUgosZA+KI+94mb1iYql1D6SfJjxXjGr0I2lPNXz9zc04t27FMGMGDRU2gsEQ5ssvQ/J6qb3+eo7NnXsiF2igrQ3n9p24lRbMZ1gEMMZqTrjm/pjC5ae5RHvUXV9P5fTzaHzwQSSPl4RHHyXrm69JXvAa/tpaWl544ZRrNHINL457kbj9tRwZdjvvPX0YR4eXUbPDooi2Fjea/v1RHqun27SCUGgoan+I/PyhDE0YSkugm9LkATynWkhMfQvG0m7y1LvZp1ZyUWcWlRnnodAomTt/GJOuLiA+3UhynpmmozY2fFIGQFezi8aKkzuaMpMJRUoKnpJDJ45dnn85dwy8g+WVy7lz3Z0U504iCgdjnXs4GG2mU9tFa1f3Gcc/QoSzxa9J3/IxsBXIFQShThCEawVBuEkQhB+lGmcBBwVB2A/8DZgjRYKVIvyb0dHWgtHXzDXWOKJURhIrugjkhcVzzjRh/aeg0ZlQu0LEdoDa24lPFYUnqGdkVgx7jeH4pNxGPUGZxKG+F7G330UktoNHFT4X9RNBB4NFRXen98TfUTNnokhMxPbZ5yiSkmhS5yCFJLIHx522LT8qD7sdPQ1R7eDBCBoN8h0HeHj4wzw5+km8W/ayaexfqE8cS1mVSPWBNkwXXgCShO3rr3tcL4VCtL36Kv6UPDocCvJHWpErTqaOyRuegCRBZ1QvTOUm5ike42nlvaR2hmO2ilUq+nnKWNs7Cv+weg5O3sGX+Wr6CptolMs5N+fC33zfcy25rJ61mlcmvMKwhGEMTRjKLf1vYdG0RSyYuIC7B93NgkkL6Bfbj6Vtu7EZMhkrFFMsj8PSYOfT1x/gWGMrrz53Le/eeA36Zj9rCo0kVDQwU76BWRlZFK2/lb/se4WKzgqe2/kcP4QcCEOuY674A71ajvJc1118np2GsV8yKcZ8Dm09VRk4QoQI/zxH9+1ApInexyQkwO5VY802kZB55tRQv0R0ko6ORidS6PSvTB2NTvze4BnjTP9ZRJlIet+wiveEK/O4/qWxXPHECObMG0reiDMboQAagwKNQUFbnQN9URHOLVso0GTSRoA18RmoAyKKkkocheMASMkP9+HHNGkDYg18HRrFnY4WPAYZ2S0hfJbcHnWEfD6an3oaQiHqEov48sW9rF5YgiI7h+ibbiT6phsBqLv1NiSfD8f33+NRRhFCxHQGkSVTrAaP04/XHXZHVqal9YgRdaxZQ+cnnwDQuXQp/vp6Ut5+m5xNG8PzmFKJYcIEombNouuzzwm5XKfUEXQ46N53gGZtDtZsE9Nv7kve8PBub1eLC03/fkgeD5Mv+BP27I9Rnx+OZZ2QOgGZIGNV7hi0kpvpvs3c7v2MT00W5IKM5OIO7KYssodae+y2J+eZCQZCNFfZGXdZLkq1jAPr63q0SV1QgKekpMex6/pcxx0D72BH4w6uLllAu9rEFHEXh/1WYhq62LPzuzMNf4QIZ41fo5o7V5IkqyRJCkmSkiVJekeSpDckSXrj+PlXJUkqlCSpnyRJwyVJ2vKvb3aECL+NT954CU2oErtMxpOFfwS7A7chEYVa9h+bP/RHtGolSifsHiDHLWtGQIbkyqcg0ch2U3jyS2oMT3S7mnexpGwJo7ypeNQWtDqxh0Gnt6hx2rwnXDwFmQzz5eEk4tHXX8+Rna3EpOiJTtRzOn68l86unoaoqFKhGzqU7o0bgfDKdcvRdvyihm1fHmX9R0fY8EkZiuQUNAMGYF+27MS13qNHaXttAe59+3BOvQ6AzAE9Xfs1xw1gr06PtqWD7iMZtB7KJ6HiXGRBgX36WAYIFayuGccHBWN41XUL9ioz5YZuRATGpYxDCgbx1dUT8vVsu3PbdjxHypAkiZYXXuDY1VcjBcPS9iaViXEp43iu6DmeHvM0N/W7iV7mXgxOGMzVva9GFERm95pNtb2aJSnZDBVLqe22EheMI1SjZ/0Dz+FSJtFmcSPrp2BTYz9elL3OqigDlSEXGaYMru59NSsuXkGOOYeHNz3M3QonXWoj88UPURzqZGdpIc/mj+HDwRm4Qw46u3rG3+8rq2DRF4v47NuldP2CKnGECBFOT0NSEgFFO32PSYSSMvF6QlhOEyf/W4hO0hPwhU6ouAZ8QepKT7rqNleFd0tPJwx3thg0NZ2iub3IGfzbXDF/VAdure3GOOUcJK+X3mXhRczl8iATOq3g99Ouy0KlkxObGs5NqTOFd3YFbwghYwwhSU+01onXpiKQPJSGPz5A2YiRNMybR+O8eThWrUJ/xwPs3mzDGKPm6N5WDm9uJO7OO4m7806sf34Gb3k5bQsX0v3DOrypYb3MM7lF/+g+3SOFS00Nzq1bcZeU0Dj/UZqffiZsTK79AfXAQTRqcnB3B9i1ooovXtjDke1NGKdPR/J66d68+ZQ6nFu2YtOlEJRE+k9KJa13NCqtArVega3VjXbAAACSmxu467HVXHrFEwCY1WaGJgxlVese/DG9uEe/ijHyXXxj1DNHGkJ7q0BIkJGc11NgKjEnirg0A2MuzaFwTBJ9xidTsauFquKTqszqwkL8tbWnKNNf1+c63j33XXwhHz+k9WeSbDctdjNx3nhqNn7/G56ICBH+d5wt1dwIEf6t8fp8CPJGALK61NQmjaPWZsAcr+W4Z/l/LDqVHLwCldkanrq4GIeyE1XXOHZ6PTQZLQRUIsZWD1EBBe8ceIf67nom+bPxaGIwxPZ8kTJY1CCBs+vkrqj5isuxPvMMQtFUWmsc9Bp65oTqcoUMlVaOy+Y95ZyuaCz+mhrcJSXU3nwL3cbjQhGeIKIo4Gj30Hi0C+P06XjLK/BWVeE5fJjK6efR9tprGCZPoj4QT3SS/pSUAkp12Jj2WeJQ2ppJahpHctM4jK0e4oJKyg16BiuqUFTaKT+QhHJXGzNtP7BGq2VQbD/MajPtby/k6KRJVIwtOuGq1fq3V6i56iqqLriAo1POpf3thbi2bsOxevWvHp9pmdOYmDqRv7pL2aKTk9dyDFemyNYsHzv6e4g/0ElUjpVXk8Yyp3El/cQy3k1IJtecy3vnvsfdg+5GKVPyl7F/YUTiCL6v38B7heMYLSuhVHcDv+taQcdmkZK9KURpY/jy0UcAaOvs4m8P/YHVbzxJy9qVFB/YxJJ7f16VOEKECKey/rsv6ZJBozJIeoccf68hwOlzbP4WflzQ66gPxxruXFHNVy/vo70+7BLZXGVHrVNgjDm7IkU/JSpOS++i5P/VPBiTYqCzwYmyT39k0dFEbStFFEQ8QQ8jq5WgUtHYLiclz3JCU+BHdXqXzcvEwiS+DQxCZQrgtctJ9XRh++or5DEx2JZ+hn3Z18TccgvtOePxe4Ocf1t/ouK1VO49mW7FMH48xmnTaH/9DZxbtxIsGHaiX6fjR0O0qyW8k/ljCpeaa6+jevYlBNvbkXw+Ot7/AHdZOcUps1m1sIT3/riJ7cuqaK62U7q1Ee3gQchMJrq/DxtrgdZWGh58CNfu3XRv3EBXfB8QwkbiT+u2tbhQJCaizMrCcVx876dckH0BNY4a7oy1oPU2siQ2CYfkZ3qJiq7YQkSZQGJ2z/hXpVrO7AeH0Hd8OI54yLQMopP1fP/3QxzZ3kRVcRvqgnAo0o9xoj+lwFJAsj6Z79UyLEI3BV1V+FOVYDt7qYIiRDgTEUM0wn8FlbExtKlcmEMK5LVNVGach1yloP+k1P/fTfunUclFQv4g0X4dQZmf4qQVKAIxLC1uIE1sw5MtYWir51zNSBJ0CQyOH0xcvROvPh7D/3jB0ZvDq9XdHScNSVGlIuqiC6kpDa/OZ/yMgAWA1qTCafedctwwcRIA9Xfciae4mEDRBWiNSoouy+WCuwagUMko3dqEftw4AJwbNmD7ahkoFCS/+gqqux6nudJO7vBTDWGZQkQUBaSYZDReJ2ldEkl2kebuo4zodT6lIRfKkIP1+nlkNVWyMHYx5+h/oFKpYGLGuUihEF2ffoqqIJ+Qz0fLCy/i3LadtgULMF1wAbF3340qK4uYm29GmZZG+9sLf3W6FIWo4Pmi5zEqjazV6hjv3sX+ZA0jtnUz6mgsP0xL5BnvDDJ3VXK/Ygnvpvah2tvBrQNu7fFymBWVxQvjXmB65nQ+spVQN/IPKGOzeFDxCd+p5vGG7wXWpyZTFhPi9Ucf5s3n78cTE89nheewtN8UBG0MlekCa78/o7B5hAgRTsPBlasptB/igFJJtE3CFRV+4Tf/k4aoJVEHArQ3dOP3BinZUA9wIr9oc7WduHTjv+1iaUyKnlBIorPFg35cEZ5tO8gyhGP300o6CA2bhMvu77GDpzEoQACn3UdhkolloZEoTQFkQYmo5UsBSH59AaaZF6MbO4aYP9xEc5UdvUVFVLyWzP4x1B/pwuP0nygz/uGHELVaJJ8PT3wmSo08XM9p+NGoPyFYlHr8HSAUQtTr0QwYgCI5mbY33qAtph91nTr6T04lc0As0/7Qh5zBcbQ3OBHkcvTjx+NY+wNBu52Ghx/G9sUXHLvid9i+/Ap7Un9iUwyodSfbERWnPRGfahg/DtfOXQQdjh7tm545nXsH38sGTwPrjFG8H2ViROwQOva6qEscS2JOFAqVjJ9DphCZfnNfNHoF3//9ECsWFOOMzgJBwLX7VFV6QRA4N+NctjmqaJDJGekppixJTX2igUBEAC/Cv5iIIRrhvwIh6OaIUkm+KQtn+TGCcg29x6eQM+Q/XxlOEARCIT/Znji2V9fyfPcmAPytXmYEV+LI0qD0dDPFNJUvLviCd6e8i+fwETxyI8bo/5Fn7Xiy9O5Ozyn1HDvYjilOc8aV5h/RmZSn3RFVxMeh6d8ff10dupEj6QoYiE010HtsEok5UaQWWqgv60SZnIQyOwvHD+uwr1iBfswYDJMmcXBrCzKFSP7IU2OXBEFAoZYhxiUBsL/6Sza1rkWyNDEmfRQeKcCBiQ+QIrbzvf5RJjm+4oe0fgBMTJ2Ia/t2/A0NRF97LdHXXINj1Srq77sXudVKwp8eJ+aG60l5fQGxt9+G5Zpr/h97Zx0e1Z394feO+ySZibsRIAQJQQtFSlsoUPd269t2K7+6bLdCt+6+Nagv9a17oRSnOARNSIi7jGR85v7+GBIIBAIUSAn3fZ4+hcyVc29C7j3fc87ng2fDBlzLlu3HdyeMQqZgeNxwlhpMnCBbxXzPYORjg3w0MYJt6+J4v34Gn6n+TYvJwJtKNyemnsj45PFdHuvGITeikqm40b2FOaOvArmffpQyRb4ceZ0bVVIc5YkaFicPRm8v4bvy21hQcQOalkpSg7Fs/nHufsctIXGs4/V42NgvhQjlSpReAYU3QIssBpVGjj7iz411KNVyTFYtTVVOtiyrxesKoDEoKV3bwOYlNTTXtB3Wttw/S3RyuN22ocKBfsQIQjYbo92JxDeJqGuaaOszGuhcFZTJZWiNKlw2H5lWA4tDA7hDfz0A3q++RNO/P6qkJBIeeYSUN95AUCioLbF1zOKmD44mFBIpK9ypiamwWIh76N/ohg2jDRMRMdq9Ju8qjQKtSdVh4aJKTQv/PyODrLlzSX7zTSIvvBCFxYI49SJkMoGRp2Uw+eo80gdFY0k04Lb7cDt8RP7tYkIOB2UXXUTb/AVE33or1htvQDP5VJqxkrzbbK85RouzxUvAF8QwcSIEArTtGFfZlQv6XoBWoeX5tFwa/A4ucxewKeV0IiIVTLq8/359b4xRGs6+u4BT/pGHTC5QvNGJum9fXMuXd7n9OX3OQS7IeSE2hZGyTaxRJBLyVLFle8l+nU9C4mCRElGJXs/S334hq62Y7UoFg1JGYSsLK7IaIntP24kY8rFGlY1OFImT1RMSQsTYgwwILaYlNfwAj60MX3egvgG3M0AIWUfi2U77PXE0d05E/b4gVVtbSBuw72oohOdE22ydK6J12+1sXV6L8eSTATBfdTUtNW0dc0MA1iQD9kYPPk8Aw/HjcC1dSqC+HvO0qQR8Qbb+UUf2sNhOK8y7otIoUEWGRZQsvgT0iuPQDU5nWNwwZIKMpUYzwrTnkPud/Dd3Eh8p/eRacjFvb6L6X/9CHhGBcdIkLFddScT55xFqtRFz+23I1J3VKs2nn4bcaqXpzZnd3otdGRE/gjohgFzVRGxJPTMM5xFaJfClcD9jNaWIkx7k4f6jUcnV3D387r0eJ8GQwLMTnqXcXs6tq5/m+RHnsPzsV/nWFM9T7v9gLSljRMUCLnU+yndJfzA+w0pBejIp2u9YaI2g2uBh6Yo9X34kJCR20txYy5qFc3jznjsxNDey3BAgp01PXcxQypr09B0df0gqlXHpJio3t7BxYTVRCXoGTUyivszBnHc3kZAVQd74xENwNYcHc7QWpUZOQ5kD3fDhAIxrsHJ6c7gq2qpLQWNQ7jGvqTOFFyvNOiVWg5p5pjzWZOQjBgKYTp3eaVtnixdni5e49B3PsVQTSo2cupLOs46mk04i9f33sDV49mmbAzv8U+t3WrgoExOJvPgi5AY9coMeyxWXk/37PNqMSUTE6ZArdr4qt7dTN1U50ebmYjplCt6iYiLOOw/L368i+rrrcJ9xPaIIWfmdRf3MMeFqrK3RjXbQIBTR0bR+/r894lPJVQyPG065o4IoTRSRK1oJKA0MnJLVMWO7P2j0StIHRZOSa6FoeR3aggLca9bsoYMA4efKRf0u4gd1AKt6G1UtMaQ0G1g776P9Pp+ExMEgJaISvZ4F874nXtiAKAjkRA3AUdUK9K5ENCB4WaDJA0AmhHCqQ6S3iejk9bg1FjwaLULhGgC8mzfh0YRXao2Wzq25SrUctV7RqTUXoKa4laA/RHJu9+qNepMal83X0boaCob45a0NzHlnE9rTzyF19n8pdcUjip1XyqN2POBbalxEnn8e5tNOI27GDIyTJ1OxqZmAN0iffQhqKDVyREFJm1FFQv1qoht/pWDCZZjVZnItuSytWYo44CxWn/82j7u2IhfkXJF0FhXXhAXAk2fORKZWI9NoiJ8xg5w1qzFPnbrHeWRqNVGXXELbokW4Vu3Z5rQ3RsSHZ5eWajVcHvyB6Rt/5RPFQ3jNZt6eeAOXOVazrG4FNw+9mRhd16rE7YyMH8ncc+cyOW0y3zSs4oa1L/BPi5KL0kwsSVrCq6mVPBQdSVRMHtcOupY8ax7PWsyc1PwjqZ4I1rz/3n7HLSFxrPHynTfy+Lczea9kMXMHZnO2/3MW6HScqCugMnEcEVEKRp+VdUjO1XdUPF5XYMf8fSx9R8WTNtDKxEv6cdotQ9Aa/rpieoJMID7DTFVRK8q4OJSpKcRtaeRUZxaK+Hjqa/zEZ5r3SNj1ZhWuHeMbWTF6AjIFv51/C32WLyfqkks6bVuzLfy8bq+ICjKBqPiw2vDuBHxBHC37kYju4iUqyOVk/voLkRdcsMd2TdVtWBI6t19HJYb/3rRjrjfu/vtJfP454h64v+M6t62qx2TVYE3uLOpnjg7HZat3dwgBti1ahGfL1j3OPTohXE0+KXkSNevrAEjo2/1CcFdkDY2hrdWLJ3sYoteLp7Cwy+0u6HsBIrBMpyS3oQhXqgHXmu0HdU4Jif1FSkQlej1VFgvV+hZUfpHUu9/E5Q3/2LfPQ/YGAoIXg97HVO8jfBY8nkqdAovNjyBAsC0Wu0GLt3gbAO71hTsT0ag9k3FjlAbHbq251Vtbwy8de/EP3RWdWUUwEMLrCsvjb11eh63eTSgosn2jjVB6Lsu+LiEtz9JpdsjS/oCvdqJKSSHhiceJPP88BJmMktUNqHUKEnK6NimHsGCRzxPAPXICGq+NjVnryMkMJ+cj40eyun41oz4cxYOb38WoMvK/U/9H/1kLCNntJL/6KtoBuZ2OJ8j3PocTdfFFKOLiqH3oYcRAoNt7ApBmSiPZmMwvcRlcJJ/Di6pXqE7owyWJMbyw5QPKHeU8MOoBzulzzn4dz6w2c0n/S3AFXPhDfm4vuJ0RWVMxpI8jPXUsz49/nvenf8L1g6/nqQnPIQhyNkSUsSQrmuLUCGqbJLtnCYndef726/g9I5MhxSvI37qak7ct4T2LgEahYay8H16VCWuKCbn80Lw+JeVEYtwxIpE9LBZDpIap1w2k3+j4DoGfvzKJOZG01LThsvvQjxiJa+lSXH/8gSx/NLYGN/GZe/7O1pnVHV0zmdHhZC0lSofcoEeQ7byvjZUO5n+4FUOkulNSt7dE1NbgBnHvQkXt7NoiC+HRjt2TZZ8ngKPJ07FA2hG7SYXGoKSpOiwoJY+IwDR5ckfctgYXlZtayBoas8cxI2I6CyVFnn8eglZL8zvv7BHjCSkn0CeyD2f7B9KiiEOjEjuElg6U9nvnjc4AQaBtyZIut4s3xJNuSmWRTseUwDLWWKMJGMKt0BIShwspEZXo1ThsrUR4G5mn0zLFloR/XSHKk8KekQfS4vJXJyj3EW22sUFM53b/tdQZFcgdIQJeHW2bp1KTPAFfeTkhnw/799/jyxgEApiseyaikXF6GsocncR4qra2EpNqRKVRdBtL+3117XjRWDunAkuiAXO0lqLldVRubibgCzHy9MxOD2qTRYtCJetQkGwnFAxRuq6RtIHWfb78qTQKfJ4gg6/5OzIR+vtTOo5/RtYZTEmbQmZEJiW2Es7IOgNZSQWOX37Bcs3VaHJy9npcgGAg1GFpAyDT6Yi9+268mzaFk9H9EC4SBIHJaZP5I2in6Zy3KDv9Ra6OVBMQQ3w6/VN+O/c3zu5z9gG1+w2wDmBK+hRuyr+JS3Mv5dERD/JC/E084TqFfq/NoeyCCyn72yXoVxVxvGUQS3UqVDYnWUUOfp711H6fR0LiWODR+65jS24y91fPIk+7jGmqhYzQ/cI8vY6rBl2Dqr4Vv8qE3nLovKcFmcCoMzLJn5yKyXL41HEPFwl9wolm1dYWIs45m5DLRbC5merocAfI7lYjEE7m3HYfYkjsSERTu7inK38Iq5effuuQTu2xUQl63A4/bmfnFtOW2nCC194CuzfaE7p225yuaE902xdI2xEEAUuivqMiujvLvipBphAYODF5j892tXCBcBIbceaZ2L79Fm9pKYGWlo5tY/WxfH7q50Su2EarOZP4PpEH3Qpu3iHQ5HDJ0AwYQNuChXvd9rjEsazUajhBsYytHisV1gCbS4oP6rwSEvuDlIhK9GpmPj2DwZ5lFKtUHO8M24UE4tLRGpXIlb3nx19QiMTLWggZwoliU0S4mle/cQpiSI3LnAnBIPavv8ZXUoIneQDmaC0K1Z5Vv+R+kbjsvo4Hrd8XpL7MTmKfvVcjd6XDS9TupanaSWOFk37HxZM1NIaqLS3UFLciV8r2UJxsb7lqX2lux97owesKkNhnzxeaXVFq5Pg9AQy5/ZGnpTOgTE7IG24xTjYl8+S4J5l50kzuGnYXVw+8mqY33sQZ3YdC/fEs+ryYJV9s44fX1ne5+vvV86t5585FrPq5rCPpNE0+GcvVV9P68ce0fvzxXuMKeTy0LVmCGAwyJX0KITHEuRv+w7S1T+P2u3n9xNfpG9V3r/uLotjhW7o7giDw5PFPcmnupbQtXUbJ6Wew/ZxzqL7rbhzzfkdQq/HX1lJx7bVMsefQLJfTz72Mtj7RlHu7X1SQkDhW+Pa9N/DExZBfvpwXE9xckGRlYloi9yWmEKkycWHfC3FX1RGUq9GZDu0iZnZBLKNOzzykxzxSxKQYUarlVGxqRpuXhzY/H6/KzMZKAxlDojvpALSjN6sIhUQ8bX5y4sKfp1s7Vx5FUaRqawspA6I6WlrbabfNadmtKlq1pQWlWo4lsWuf63baW3dbdySuXdFYEX4O7V4RhfCcaHNNG+Juzwpbg4uiFfUMmpi814XudguXjmu59BIIBCg5ZSqlp51O0G7vtC0Mg9cAACAASURBVH3T/GV4tFbi+xxcWy6AQiVHH6HG1uDGMHYs7nXrCLa2drnt6ITReBGp0HpItdViqm9kxY+vH/S5JSS6o/e8iUtIdEGlNYpKY1gSP227C3V2Fm1tYq+aDwVABZmuakI7KpzqFB0IQezFYcuUgCo8c9jw4ksIGg0OzHt9WCf3swBQvjHcurllaS2hoEhCN4lgO+0PYFu9m02LaxBkAtkFsST2iUQUoWhFPVHx+i7bzqIS9DRXd365aKnb0cYUv+8qRHtFVBAEEu79F4HSUhqefa7TNlqFlov7X4xsyWpav/+BtQOvo2h1M+vmVLDqpzJK1jTgaOq8St5U5aSm2IZap2DJ/7Yx74PNBAPh6mj0LTejKyig4eVXCLXtuULuXrOG4hNPpPzyK6h/9lmyI7M5MfVEkk3J3JR/Ex9P/5icqK6rsaG2NmxffUXJ1GlsO+lkWj76iNbPPuuy+lr76KOUX3YZosdDwpNPEHpiNgtGPYby3udJ/+ILlImJpP2wAQCFbgsLzLEE7WUsW71yn/dUQuJYobjwD2SOJlbErGO5VsdN+TeRHzuU7aKPi3MvRafU4awNV6zavTAlwiq4WQUxbF5SS0O5g9g778A5+UoCAZGRp2V0uU97It9m8zE608I7lw/juCxLx+dr51Sw6LNi3A5/lwuQ7YuYuz8ryjc2kZgT2al62hWRcTv276K91+cJ4Gnzs2lRNRGxui67hiyJBgLeIPbdnhVFy8OznLnH711galcLFwBVSgpRl16KftQoAo2NlF12GWUX/w1/bS2+ykoaGsO/7+My/px6sjlai73BjeH4sRAK4Vy0qOMzb0kprZ//D1EUGRY3DK1cwxydjtFt64kUIgkWOvZxZAmJP4eUiEr0aqy+UmabjBwfNRSxcAva/KG0tXrQR/SetlwAVJDQZkeRIsffx0ROko/IrN9ADFe9/D4tQYWaQH09hmmnYWv0hD3susAQqSYqQU/FxmZqS20s+GgrSX0jSe6ixaor9JFqFGo5v8/ewtpfK0gdYEFnUoVtCATwe4N7tDu1Exmnx2X34XPvnLtsX/WO7EaAor0iCmAYcxyRF11E87vv7qFKGHS2UXP3P7EPPAlvUMmJV+ZyyWOjOeGyfgA014QTX1EUWfVTGYs/L0YmEzjrzqEMnZLKxkU1fPHMKhzNHgRBIOb22wg2NlL78COIoZ3tu/66OipuvBGZRotx8mSaZ71F29KlPDv+Wd6Z/A5X5V1FsnHP9i0AMRRi+/nnU33XDvVcmYzaGQ9Sc+99OH7+pdO2Ibeb1o8/wThlMhnff0ew4AQW/2bH6wrw88xCVs+vR3vKafhXrqEgGMdSvZK0+hpSZcksfeft/fZDlZDorcz78hPKMlOIVH/PYp2We0fex1V5V/HqpFd5dvyzXJZ7GYGmJpzV4URUKyWinRh9ZhZao5K5729CM3AQvgFjulTLbae9a8Zl9yIIAuNzds5ThoIh/vimhLVzKgC6TEQNkWpUGjkNlTu7Z1rrXdgbPaT0715QT6mWY4zSdLTy7sq8Dzbz7t2LqC9zMHBCUpftsLsLFrVTtKKe+Cxzl9oL7ew+nwoQe/ddpLw1i6hLL8W3rQT3hg2UX3UV9m+/w25KR5DRZWX5QDDHaGltcKPJy0NusWD/4QcAAg0NlF9xBTX/+hfN776LRqFhdOJxzNUbGB7ayPYEK3WZMVTV1v2p80tI7A0pEZXo1diVW3HIZdwQcx5Bh4OamGHYGj0Ye5FQEYCgkRN0WOijKSKYbiSLLVhzf8CvasUkhFtwfOl5IAjIpl2AKO6Uoe+KtIFWqra2svizYlQ6BZOvyUO2n+IcSpWci2aMZMw52Uy8pC8n7vA9U2kVHefcWzW2XWSidZfWpZY6FzqTCrWua9uWdlQaBT5vsCOxir37LvSjR1Fz//3Yf/ypYzvbF18QbG2lKf9MtEYlKblR6M1q0gdFh8+3I/F1NHlY8sU2yjc2k5pnQWtUMfK0TCZfPYDmmjY+eXQ5zhYv2sGDsV73D2xffEHDs892nKfu0ccIOdtI/s8rJDz5BDKTCdtXX3cZu7ibnL5r2TK8RcXE3nsvGd9+Q8bXX5Hxzdeo+/al7vHHCTp3vgC1LVmC6PWiPfUcFn5RxkcP/4EgE5h8zQBkChnLvi5lo7IARJFzajNZo1EzwfcL8wZEU2ENMm/xT7uHIyFxTLHyj7kYbFt5J1LLCdbhnNXnbACUciUnpp6ISq6ibeFCfKpwMiBVRDuj0SsZfWYWjRVOilfW01jpxJpk2OtMo749EbXtaSPSUO7c0dkSTji7qkgKgkBiTiTlhU0dv++3LA3bk+3u3bk3IrsQPAoFQ5QVNhEMimiNSnJGxnW5b3trcFPVzkS4ocJBc3Ub2ftQdofOFi67E3PnHeQs/4PkV17GV7yNhpdfxhHbD2uSscsxmgPBHK3Fbffh94tEnHkGzrm/4fj1V7ZfdDFBmw3diBHUP/kU7sINTEieQJMclOoKijUGnM5Sfv7g4b0ee86cT3n53jN4/417pYVNiQNGSkQlei3ffvQOTaoWrH4ZceVOXLpYlqzXEvSHiNsP9dejCZlGQdAWQ1/C7ZcpnjmEsBCI2EqkGG6xDY08magrLsdOuMVnb1VJgNyxCSCK1Gyz0XdUPGrtgc0TGiLVDDohmX6jE1Dtsm+76u7ekmBzbGdVQYDW2jYi47oXB1Fq5CCGK64AglJJ4osvoR00iKo77sCzcSPORYtofv99hMEjqCgP0Gd4XIcAklqrQB+h7ng5qSsNz+qMu6AP4y7c2T6bmR/DWXcOxecOsOKH7QBYb7yRiPPOo2nmLBxzf8O1fDmOn37C8verUGdnI1OpMIwfh/O33zpUdsVQiKDdTvW997Jl5Chs332HZ/NmHHPm0Pze+8iMRiLOPgtBJkOm1aLOzibu/vsJ1NVR889/IoZC+CoqsH35FY1JI/jimwCF86vIHZPAhTNGkjkkhkseGc3ACUkUbWgjMGAEWWubEIBqUw3Oehl5jQa2fvptt/dWQqK34vf7KElMYJt5OWpRxn0Tn0QQBMRgEPe6dfjr66l74kmaZ88mEJUASIloV2QPi8WSqGfZNyU017RhTdr7QufO1lzvHp9VbmkG4LSbhzD5mry9JrMZQ6JxtnipL3NQXdTCyh+2k1UQ061ibjuR8Tpa61ydNAHqyx34PEEmXdaPix4cuVdxPpVGgcmq6VQRXTe3AoVKRvawfSeiHYutXVRjBUFAUKnQjx6N8aSTEANB7NpE4tL/XFsu7LSOsTe6iTj3XAiFqLzhRkSfj5RZM0l66UXklihqH3iA4+PHIENggV6NztlGVm0s/joNDS2d50oDgSBvvHAN5Z8to0pvoLC1jpn3Xv+nY5U4tpDUKiR6LatKN7I5FhK8Jjzr1tMWHfZ9O+efBUQn/7k2l78aglaNYDcw0fc5Ay0RGByLqGkcRoxoJhi0IVMK+HNHEXt6Jls+3IJCKdunFLzJoiVtoJXStY3kjkk4ZHGmD7JSsqaB6NSu7785WgsCtNaFV4tFUaSl1tXtKjPQ8dLg9wY7/iw36El65WVKpp9K6Xnng98PcjnNp95FqFBkwG6zPFHxuo6KaF2pHYVSRr8xCXuo9VoSDOSOSWDDgmryxiViSTQQe88/ca9fR9UttyBoNCgTErBcfnnHPsYTJmH/+htcq1YRbGyk/pln8VeF55cVCfFU33Z7p3NEnHceMk3naoAufwgxd9xB/RNPUHr6GXiLikAU2TbhSXRmNWfclr9HtTl/ciqF86uo63sKiZ/PYPzZQ/g8sIa7tn/KxwWnk7R5Lb/P/S/jJl7U7T2WkOht/Oehf6KL+p35BhWPDLkdi9ZC0Omk+vY7cM6b13njySeCF7SGfXdnHIvIZAJDp6Tx88zwYui+ElGlWo5SI8e1Qzm3cksLSTmRCDKBys0tWBL1JObsexQkLc+KIBMoWdNA/XY7+gg1Ey7eu+jb7kTF6Qn6Q9gb3Mx9fxMNZQ40O76vyf2iuu3AsSQaaKgIz0622bxs/aOO3DEJaPT73i8qXo8gE2isdJKZv3e/6OhbbqaxtJmAKCc2488vnLdXYltqXVgLkrFefz2i34/l71chN4afx7F33kn1HXeiWLaW/OhB/Ob7g0kVG6kZlImjaTuf3X8NVz03G6VCTtGWlcx/5nnsWWkoKWJwUx4iAs1tJfz31Qe56B8P/OmYJY4NpERUotfi0jbjCcjI36bFva0Qb8q4sDJr3N4rgUcrCq0ebUBJoE1PuuodQKSuLorckJl6bynmJB1NVU7EkEjJmgaS+0d122o75txs+gyP69Yc/EBIybVw+ZNj9n4dyvDsTruqoMvuw+sKELEfFVGVJty65HMHOikWKiIjSXj0EeqefBLLFVeiGjWGZc9vIaW/YY9ri4zXs25uJZ8+thy3w090qnGvljEFU9PZtrqB715Zxzn/LEBrVJMyaxYV11xLsLWVlFkzkWl3JvuGMcch0+loeOZZPBs3osrOIubCC1Clp6MfPXrHS6+AMj4Of10d+uHDuzxv1GWXItPraHj+BSLOOxfN8SfQ9qmf3IKYLlue9WY1sWkmWlwKEkWRS20DuUy5jtrI7bQ0qDhemcai+X9w/IQLD9oeQELiaKU6Ahbo3Tz2Xzl9332XqsFrca1YQaCxEcu11xByuTBPn46/qorqili0W537PaZwrJE5JBpDlBpnsxdL0r4Xe/VmNS6bjyVfbmP1z+VMvX4gqQMs1JXa6buXlthd0eiVJPeLYsP8KrzuAMOmpu+XvVg7lh2J8qLPi6kptpGWZ2F7YRPWZANaY/cV76S+kZSubcTW4KKssJlQUCRvQlK3+ylUciLjdDRW7FsASJ2ejvLOx+G/W8L6Cn+SqLiwQGBTpZPsgliib7xhj21MkydT9+hj2L75hglXnchTDWt4WDmXGzQTuKopyMr0Zt66+WKI1+OQx+Gx+EgrDTB/7EA+lqci14iM8dpo2tRIMBg6ZF67Er0b6adEotfiFSq57JcQ07+twLtpE23mFCJitL3KtqUdhd6E1i/D6YwERLSasTgcViICapwhG7GpRuq326nbbqfN5tvnSmw7JouWrKHdb3eoiYjVUVdqp2Jjc8fcz/5Yxyh3qYjujuH448n89lvMZ5zO71/X4nL4GXpK2h7btSdy9WUOHM0eYtP2/gKgM6mYev1AHM0eNi6qBsJJb9pHH5L53beoksNCRK31LmY/uIzNa2xE33Yr7rVrEZRKkl99DcuVV2KcOBGZRoNp8mRMk09GO2gQppNOQh7R9TULgkDkueeSvWgh8TNm4EkdCCJY91Hlj88y01gfQJaUSvQf2xgRW8AbEWauaf2El5JySXTqePnu23nvmRvwefZuaSAh0ZuY/+OX+OQrufxHkcxyP8qUFNyFhahSUkj76ENibr6ZuHvuQZuXh2nyZLwBudSWuw9kchnDTknHZNV0O06hM6loKHew+udyIFypc9l9+L1BIvZzsXjkaRl43QEQ2a/kdVdiUo1EpxjZvq4RnUnFlGvzOOO2fE64tP9+7Z/Sf4e6/IZmKjc3Y7RoOtR4u8OaZKCx0rnH10MhEZ8ngMvuY9FnRVRubkGjV+6ze2l/abdM6+q87QhKJaYpU3DO/Y3xUeGF0PlGGWeX/sb7oxPJr4ukOMlMRSBI4lY5Gdoc3h+fjnpDG6ev+x39UgcfVp1AgkPF/J8/+dMxSxwbSBVRiV6Jx+0Gdy1jN+yc/7CLJuK68Rc7WlHrzCj90FSfRlKSEq/3HGA5QXcrCrWc2HQTm5fWsuaXcmRygbQ8S7fH7CnM0VoqNjbz9YtrkMnCohTWblbXoXNFdG9UbmqhZHUDo87IJCFrz0QvZ0QcGr0SvVnN96+tIzVv395tMakmrMkGyjc0M3RyGgCCTAaynYsdmxbV0FLTxm/vb+akq04g8sIStkcMY8USB/GZMkIBkYwh0d1e3+60Vy/bV9b31QoXnxnBqp/KCYw7g7aPXuK6m1/k0roVNJlL+aziX9yWeSPTWmpxFrfw5IszSChqQN1Xx4W3vixVSSV6LQuWL8Yj1nH8BrD841pibrqp4zOvy8+aX8tJy7Py4xuFDJuahsvu269q2bFM/zEJ9N+PcQ6dWUV1USsyuUAoKNJS29bRCRMRs3+JV3SKkSGTUnDZfZisB5asCYJAwZQ0fnh9PTkj45DJZV0+E/ZGRKwOU7SW7eubqCu1HdDvcGuSka1/1OF2+tAadv48rfpxO+t+qyRjSAwb5ofHNlIHWA7Z72BrsoHKTc373MY0fRots2djXr6V8UnjeZ3fmeX+Ccc6Lc/knMjl3j+QKzXMLwixzD2EEWvX8pLyZQBu5XP+2XgF6/pbcS/8gwlTzj8kcUv0bnpfaUhCAnjl2QdI3+RFABKeeRrFoHycbcJeLUuOdlTGSDwBFwpHCnWVZ1JbZcMc0tHqqUUdLRCzo7K3bXUDqQMs3c6/9CQ5I+PIGRFH/7EJhEIi+Sen7Nd+7W1ZW5bV0lrXdVVv/e+VaI1KBk3s2jZFrpCRMTia2HQTlz8xhqRu5pQg3G5cs80WXpnfDTEkUrS8juR+kZisGjYurMF4052s3qJm1Y9lfPfKOn54fT0VG/f+ctDua7c3GqucqPUKDPtQgm4X53KkD4NgkJQlpQyKHsRT0dGcmablsubXeV+Zw7wJeaQGBZTyaCpqWnn+/juorCjt9h5ISBxtzHx2Bs2GGsYuFXCaolgSHMPPszZ0qH6u/KGMRZ8V88mjy2mqcjJv9hYaK5yHpDolAQFf2Oqq/5gEEvtE0FLTRusOf03zfgoOAYw+K4tJl+9fFXN30gdZmXhJP/JPTj2o/dPyLJRvaMLrCpC0n/ZmANaU8KJhY0Xn6mRZYRNuh78jCQUOSVtux3mTDLTZfLjse6oVt9a5WPx5MWJ6P+QWC87f5/PwmIdJNCZzXUI8Jxi+5MPtM/i0aQCPNU/j++WjGLRqI0/I32Rt3ADKrpmDPz6fexSzWRpIoTVkP2RxS/RupERUolfSrGkjtQJqYjWYp05F/8grwN5tQ452dLpI7F4bEaKehvp6amtrsYgGbAEvMfnZWBINHSbfeeO6n2PpSeLSzUy6vD8TLurLFU+N6WiB6g7ljoro5iW1/DxrQ8fXt62u54P7lvD9q+vYvq6R/mMSDml7dmquJSy40cVKc+m6RhzNHnJGxtNnRByVW1pY+uU2QiGRydcM4JTrBhIZp+PXdzZSW2LbY/9tq+p5/19L+OyJFZ3UHXelocyBNcm4z1VzjV5JXIaJzYVulIMLsH3+P24ZchP5sQVEaqJ4KVbgPe9tHL9uFS/IhvJE7mi+zJ7KkrQ0Pn/7VZ6+50YqKsoO/iZJSPyF+P7jd9miUGNwryarPpH1w++jsshG0fI6Ni6sprHSSeH8KnRmFX5vkMwh0XicfnRmFcOnZ/R0+L2C1NywzcrQyWk7rFRctNa5kMkFjJa9+3AeSgSZQL/R8d0KDO2NEdMzSMyJQK6UkZSzf7YxsLN7Zdc2Wb8vSH2Zg/Zf46POyEStV5A64NB1L7WLNDZWdp5PFUMic97dyOpfyvn40RUojjsB58KFmBQGZp48iyhjIpfHx/JafICfAjezxH09m2RX8bbqKYpik7hU52Taz5fzYGI8BsFJ37py4jx6ioo3HbLYJXovUmuuRK/EJ5aTUQv2KQUAlKxqQKYQulXiO1rRaSJw+h3EhzIpbasHoE8omgZ/LfnjzkKukBGTZsRl9x3Qym1PcyBtcLsKVexqFr55cQ0uhw9ZnUBqnpWBE7quhh4ssRkmlGo5VVtaOs3e1hS38tPMQqIS9GQMjsZl97Liu+1sXlJL2kArmUPC25osGr57ZR1fPLOKc/81rMPaxuvyM+e9TajUcmz1bravayRjcOf2r22r6mkodzDqjMxu4xx9Vjb/e2ol5fkXE//WzfTZ7GTmyTNZU7+Gv/98FdOSk/hn41zmOb/B7lWwSqOmTVDgDA5nTtooeOUJIpvdmEakctZl90uCLRJHLWs2FTJCtoq19QJrBt2IUqPl7OuH8PuHW5j33y0ACAKccXs+oaBIdIqRio3NRCXopRnRQ0Tu8Yn0HRWPQiUnKl6Pzx2guqgVc7QWmezoGAdQaRWc+n+DcTv8B/RzoTWo0BqVtNTutH+pK7UTCoqMOScbT5ufwSemMOSklEM6GmFNNoAQPteuC7xb/qiltsTOkBNTWP1LOXX9jyPC9gnutWuJy8/n42kf886Gd3hj3RvocsdwZUhPoyaC58VG/nDXEq+ycHLaycwqnIUQHcO02sUUJQ/l92eeIurxF7GYe2cBQOLQICWiEr2OmsoyIusrsZtycCVcgN8XpHhVPSn9LQfsh3m0YNBFEBJDxHu1sGNxN0o0UhtwEhsbTrwmXd4fxPAqcG9k1++txxVukw36Q1RuaaHfqHiOvyBnb7v+KeRyGXEZJqq3da5oblpSg1Il54zb8lGq5ZijdUy9biBed4D0QTtnTy2JBs6+u4D371vCqh/LOPGKXAAK51fh9wQ5/ZYh/PDaetbPqyRjcLgyozEoqS2x8dsHm4lJNTJoUvfJdXymmf5jEti4sBpt1ljUL72EIjqG3Oh4vjnjWx5c8iAPsZCHrVHsWnuNiypkqn0lW6IvICUmGnurj+fv+T9ufeLlQ3L/JCSOJH6/H4+pjXeNVZyzui+OWAOTLu5PbLqJ024ZQsXGZoKBEJZEQ6e560NZmZIIz2gqVOEulsj48MhMXamdtIH7nsv/qyGTy9BH7H0sYm9Exuk7rMIgvHCJAH1HxR220Rm1Tkl0spHKzS0Mm5re8fXNS2qIiNUx6sxMqra2UGELEqnTUf/0M6S++w5GlZEbh9xISAwxc/1MvgZkXhl6pZ6R8SP5x6B/kB2ZjTfoZfbGD7hCuZovTZNo7NeC57lruWHGB4fleiR6B73zrVzimOadmS+ga/BQlnIiLUVQ/8hy2lq9jD6r+6rR0Ypea0Yuqgl47ZwfdTxblNVY2jQE5E0d25gsvXu2Sa6UceXTYylcUMWyr0pY+uU2qra2EPCFSMk9vC+RcZkRLP+uFK870JEQV29tJT4rolPb195esnQmFQPGJrB2TgX5J6diSTRQ+HsVyf2jiEk1kTc+iSVfbGPx/4pZ82sFky7vx2/vbUYfoebkvw/Yb5n8MedmU7fdTqHyPDRLH8J79tkgCCQ8/hgvTnuRWYWzEEURi9ZCkjGJQCjAf9fOZJZiNQO8nzKoIQ51QMvylNH89un7TDjnb3/+5klIHEFeffRuZMaVuJ0KIgJ5tBEiuV+4rVKtVfSIUvixTnSKEZ1JtUN06Mi05fY0UfF6ilbUUbK6gYA/yPp5lcSlmw+7fkNS30jWzqnA7w2iVMvxOP1UF9nI31F9zR4Wy6LPitHf+RDOGbexbcopRJx9NpYrr+Cm/Js4u8/ZLKpaRKmtlL/1/xsJhp3CVOflnMcHmz5gvhF8fpGc1TaCcemsWL+Kgrz8w3pdEkcvUm+VRK+jxewgrVxBa0QWliQDMnl4DiRj0IErkx4taHRG5Cho9dWjtyvp3xaLN+BE1O9dQbY3ojEoidghdLHq53JqS+zI5AIJ+2H/8meIzzKDSMecZ1urF1uDe79sZ9oZfGIKWqOKb15aS0O5A2eLl9QdCXT/48Jzrat/LkcMifzy1kYQ4PRbhxyQWqRSJWfy1QNArmDTlEcI3PYsoWETqb73PryLl3LtoGv5x+B/cG7OuYyKGc6gNQ7+va4/b7ROx92m45WkFp5Nq8bq+YXVKxcf2E2SkPgLUGvUsU3RygMfhWi25BKfrkeplvd0WMc0aq2C8+4dzpATU8gdk9jT4RwRIuP1eF0BfnyzkF/e2ojPHWT8RYena2dXkvpGEgqK4QosYR0DMbRTub19IabO1I+Ep56iJXUk22Z+TvmVVxHyekk0JHJuzrncNfyuTkkoQJo5jfyIHL4x6ElwNGLoH02dvIyV77xw2K9L4uhFSkQleh0K5yai2zIQZUpGnprBBfePYOIl/TragHojap0OOXKavbUIgMajxhWwo446dIp7RwsRseHETAyJDJyYxJRr8w7I6PxgiE0zIciEjod7VVELAAnZ+5+I6s1qpv/fINpsXubNDs+pRaeExSU0BiV9hscChOdExXDiaog88OpBRIyOk68egM8rMn+lmnm6M2kYMJ2K666nbXE4uRRFkcqbbqb69ttpmT2biFe/4LHXvfyn9Hj6tSgpNDZQlJREXc32Az6/hERPseDnL5CJxSRvUiAq82jTxJA+7K8t3nasoDOpGH1WVq9Vtt+dyPjwgqkYEimYmsbJVw84ImKK8VkRyOQCVUXhZ1XFpmb0ZlXHs8YQqSE+y0zRinoYOZEVmomsG3UnLWu2UHnDjXi2bt3n8Y9LPYFtKhXZ7mIeTxtHmiyFxph4PL5ja1FcYv+RElGJXsWPX35AfGkzLZF9EQQOeyXsr4JWpQQhSJMv/HAREHAFHRjiem8VeG/sWiEcdEIyad14gR4KVBoF0ckGaorDFdGaYhtKjRxrcvf+p7tiTTISk2qifrsdhB3iEjsYeVomJ12Zy0l/z2Xy1QMYOvngLAcgbMb+t4dHc8Zt+ST1jWRD1CS8WUOpuvU2mmfPpu6hh3HOmUP0zTfTZ81qMn/9BfNpp2H9aC4PvuYmcYuCaPcqPnn56YOOQULiSLNswW8E5OuYUGhlY+7lxKQaGTD22KjASfy1iNoxF2tNNjBiegbpR2g2VqmSY7Jqse2wOGuubsOa3Fl1PbsglubqNn56c0PY51VQUD79PlwrVlB6xpk0zZrVYXO0O32tYY2DJOV6Tl/zC3OyItBUV/DDl28c/ouTOCqRElGJXsXSTWtILxGpjR1AXKb5sFfC/ipolHIEnAQFPW2E/btcQTfGmKNL+OFQoNIo0JlVmKK1R3QuNj4z7n1MnwAAIABJREFUgvrtdoKBEPVlDmJSjAel/pjSPzyvFhGj6/TzqzOpyB4Wi1wuIzM/BoXyz1X45UoZCdkRnPz3AcgUMupP+AdiKETdvx+iZfZsDBMnsjXmBN67Zwkrl3tYYDqTymvfxDdoNOfND+FUbcSDpCAqcXRQVV5CdYwRZ52CqrSrUaiVTL4m75BaOUlI7C86k4r0QVYKpqQd8XObrFpsjW5CIZHWOleHWFQ7mfkxKFQyGiocjDwtk7xxSVS16Ej65ieMkyZR/9TTNLz4Ysf2IZeLkMcDQN+ovgC0aVp5SPkO8oYAccoMapcVH7Hrkzi6kH4DS/QqnOoaYm1ReDWJpA88dqqBSrkMxFYEeRQNrgoA3AEP5oSEbvbsnQyckPSnKoYHQ3yWmYA/RN12O02Vzo5WpwOlPRE92P0PFI1eSd8RcZRsdpH4zU9k/f47fVasIHT9g6z+uRyfJ8iqn8oBKC0NsijqIoLqwaiKBeqiFaxfNu+IxCkh8Wf476tPofStoV9lAW36eE68Kg9j1LEhjCPx10MQBE75x8BOll9HCnO0FnuDG3ujm2AgRGScrtPnOpOKSx87jqtfGMegE5LJHhZLKCRSVuoj8fnniDjnbJpefY2aBx/E9s23bD1uDFtHH0f9889jVVuIUpn5Pqk/N8fEMsU+n8LBImWRNuZ+8t4Rv1aJvz7dlosEQXgLmAbUi6I4oIvPBeAF4BTABVwmiuKqQx2ohMT+YGreTkvUQIBOFhnHBEILgmwg9W3lpOlycQW9WBKzejqqHmHo5LQjfs64TDMAGxdUEwyEDjqRjE03EZ9p3sMz9HAyYHwihfOrKFzSxMjTw+rSK7/fjDlay9l3F2BvdBOdYsTt8PPdf9ayKXgJU/94jB/jlvDjFy7yRow/YrFKSBwMDmsCTep5DPKMw2XwkJJ37CxUSkjsismqwecJdoySRMXvOZe7q9q7NdlARKyOBR8Xsfrncs6681/ITCaaZ71F64cfoe7XD3V6Gk2vvU7IbidnZH+W1CwBvZqTdeuZ23YxN1ULLNRuYoIoHlJvVImjn/2piL4DTN7H51OA7B3/XQ28+ufDkpA4cN569iEMzS00WvOIsKqIiNV1v1MvQpTZEOSRlLdtZFXTr7R4W4mJ7t5fUuLQoDerMUdrKVpRBxx8RVMml3HmHUOPqI2EJcFA9rBY1vxaga3BTZvNS02JjZyRcWj0SmJSTQiCgM6k4qQrByDTaCgceA9914yhRVfPgu++OmKxSkgcKG63ixJVEHuLHKcxh4REhfQyLHHMYo4Oj6xsX98IsEdr7u4IgsDw6ekk94vE3ujmj2/KiL3jDjK++Zqk114l7YP3SXjmGUzTp2P7+hvyIvsjIKCVqVioV/C3yp9YPEEgcYuD/z5892G/Pomji24TUVEU5wPN+9jkNOA9McxSIEIQhPhDFaCExP5SGnSgbZLTas4gddCx5wUXEmwIsiiCYoAi+0pkyDAZIns6rGOK4dPTCQVFlBp5h43M0cLoM7OQyQW+eGYVS78qAREyh+z578gcreX8+0eSnCZgjzqBtO0XsvLnb5n73f96IGoJie5576XH0QaXUVASj19lJH1Mdk+HJCHRY5h2SUT1ZlWH9/W+yC6IZer1gxgwPonCBVXUbbejzs7GOH48Mr0eQRAwjB9HyOnkQvkoPpz6IZPSTmaeMYIrZN9QsjmeTeMiKfbbeO3pu7F7/GyvbWLuvDn8tHgFTq+kqnuscihmRBOBil3+XrnjaxISRxS/chMx9jREmYrEPsdeAubVhlAFBARZ+KEiQ4ZMLo2BH0n6DI9j2LR0BhyfiHAQQkU9iSFSzRm35aNQyti8uIaIWF2HxcDumKxapv3rZMafp0MWsqP0nMfWLxbwxIzbjnDUEhLd0+Ly0qqpIKO5HwApg4/N2XkJCdipLB8KiMSmmw9o3xGnZqAzqvh99hZCwVCnz3TDhoX/sGo9udZcJqVOwk6At2Li+G/gYTaUJWGMsVLhdfDZ9dez8J6nqPt4IXVvfMwn117Pj1/P2uOYEr2fQyEp2tXbVpe6zoIgXE24fZeUlJRDcGoJiTBvPvIvAsptaEKTAZH4rGPDtmVXPAY5UQ02fOpIfO6GLv9hShx+hk9L7+kQDproFCMXzBhB+YZmDJHqbtsXcyeOJq5fBl/c/SFe7XSsJcU8fudFtFpNqD1KDCEN1912H3rjkRFekpDoivIoBc42Ebd+MFEGH/oIdU+HJCHRYyh38VQfc+6BdQeotQrGnJvNzzM3MG/2FiZc3LfjOaGMiUGVkUHbsj+wXHUV45PHMz1jOq+XfENkwMTs5n/zN899TDYGcMkqsMubCSEi6kIENUE2l6xnwSsPkFHp5Monnzuk1yzx1+VQJKKVwK6DaElAdVcbiqL4BvAGQEFBQdcmRBISB0GN2oWiHFoj+mCJUXUatD9W8OiVqCtbkakjgQZkgvRPTOLAkctlB+RpZ4mP44q3b+L16+/CrxyL0X4l5hYvoqBA7a1m9g1P0BLTyAXX30FyWuZhjFxCYk/KyrYiiOsZXhSB3ZTGsOGSSJGExNTrB6I1qg5KObrdZ3TF99tR65QMOyUNpUYe1hEYPgz7198gBoPI5HIePO5BWrwtPMliGmRGXm96iGu092I6yUIaLbTJFIRCcqLdHmwhCzmOVkJOFx8+/TAX3H7vYbhyib8ah6Jv72vgEiHMSMAmimLNITiuhMR+sWbx77QptjK4OJLWiExShhybI8o+vQqNtxVR3FENFoI9G5DEMYNMJuMfrz7FBf8eiVm3EmVwFUr/QkTBg189Fr3jXH6+fzZPP3hrT4cqcYzx+Zsv45ZvJ78iD4Ds4zN6OCIJiZ4nLc9KbJrpoPcfPj2dvPFJrPmlnDdvmc+SL7YBoMvPJ+Ry4S0O+4YqZUqeGfcME1MmMsuk5P8SI5jluZ/xa1fjWiuiWuXGuMZGVFEZp1fNQt5UwS+j+tJQVoYoSovpxwL7Y9/yITAesAqCUAk8ACgBRFF8DfiesHVLMWH7lssPV7ASEl3x63ef4orcjlY4HUGQkTcuqadD6hGCBjVqbwshwpYtgkxKRCWOLObEGC5+9o5OX1u/YglLXpmDR3ccmpq3eWrGLdwxQ2q7kjgyNJn0qCsDOMzDiDCJRMbtWyFUQkKiewRBYOy52ViTDRQtr2Pdb5UMmpiMdsgQAFzLlhFyONAOHYpOqeO5Cc/xe8Xv3DbvVi5OS+amht8Z5fNRrFLyu07Le1oNbpmCKc4FnF3cyMq8UXz2/GOcc8s9PXylEoebbhNRURQv6OZzEbj+kEUkIXGANFvUyKrk1MSPJj1bc8yalBuUehS+amSqyShCo5Epyno6JAkJ8gpG0f+NYbz99w8Iyc6i1fcsT953E3c+9EJPhybRy2lubcStLuK4DbHYEtMZPUmqhkpIHCoEmUD/4xJI7BPJ7AeWsvKnMsaem43caqXuyacgECDq8ssxTT6ZoNPJmNxBvDX5be5ZeA//xN9xnBiNlemJY9Cqzby78V0igxsI2Qaw1WbrwauTOFIcihlRCYkeY8vmzbjkW8itSMMfpSXnhGNXlt8oMxIKrEcQVCi0I0HY1tMhSUgAIFcqmHLzRL58rZicDWPY1ucHHp1xO1ddewsxcZLIusTh4YMXHkWmKcYUnIwdkZyRklquhMShxhytpe/oeDYsqCL/pBR0Qwbj+OVXlElJNL/9Ns1vvw2AoFKRdPvtfHHxF2xq2kSzp5l4fTx9Ivt0CB6FxCDvb/qA6+p+JSCfxLzvZzP+lAt78vIkDjOSt4PEUc2XH/yHVvl2YlzZgHhM2ra0o1XG0GoIovU0ACDsoownIdHTJA5OIStXR338JGJrb0fW/Acvvf8yL95/G6Gg1EYucehpVSsxlgWpjRtFSqYWnUnV0yFJSPRKhk5JBRFW/lCG6ZRT0A4eTPqXX5D64WySX3+NlLdmoR81irpHH6X11TfoLyQwPnk8OVE5CIKAZ/NmSs85l2t8o4lDz3KTncI4M8uXrujpS5M4zEgVUYmjmnqLhlCDiNOQgyUS1LpjTy23HYM+hUYDDN74LoW5VyK3Ono6JAmJTpxw7TCSFlawYHYbVvuNCGUvs63PEB547hEiGhuYfPb55BYc19NhSvQC3B4XHnUF/WoLsMcYGTy9b0+HJCHRazFZtPQdGcfmJTWMeHwSaVOmAKDbMTMaCokkFhRQddPNNL70Mk0zZ2GeNg0xFMRfXoG3qIhgayt1t93BOfeM4xXxO06tL8XQKmf9uoXkDRzTk5cncRiRKqISRy0utxuvbAOjC5XYTWkk5x+bIkXtWKMysenBbC/luCX3ooiQVv8l/loolHJyJ6Rx+m0jCKo0RHjuYMCSZvS1H+HV/MZn393DXY9dy6dvvUJrS2NPhytxFPPGEzNQ+DcjqEZhULpIzDl2u2UkJI4EA8YnEfCH2LK0tuNrYkjE2eLhrdsX8MkTaxBufoSM77/DMG4c9p9+wvnbPMRgEE1uLkn/+Q8hj4exS7yEBIF4YTFFA1OY9/4HPXhVEocbqSIqcdQy86kZOMxlZLQUUBStIH1wbE+H1KOYY9PwGMNy5yszBULpqT0ckYRE18T1jeGCh8bz9aNzsCkuw+i8DHNlMQk1iwgGFvPdGYtY8c4qFMEUkMkwOdrQOR3IVCrcfidGk4Vr7n28py9D4i+MTS2Hei92Uyr9c3QdM2gSEhKHh+hkI7HpJlb9VEZMmom2Vi9z39uEyaol4Avh9wX58fX1DJuWTsTf7yXneQtBf4j6cgfOFg8//FxO30kXoP7lU1JyjKw0NiBzhAgGQ6xds4BBg8d2G8PiRd+z4rufsKu8pOpiuOi2B5DJpTGlvzJSIipx1FKn9WKsCFEfexwms4z4LHNPh9SjWONSKO4X5N/RSgpTBR41HJt+qhJHB6ZYIxc+dxrbllZQt6GKbZvS2RSRhbl1FGN/eoGXT11Knno+2pBInUVOgs5ECJEyYTT9PAI+nw+VSqr6S+yJx+3Gr6oipiYN0agkeWRWT4ckIXFMMP6iHL5/dT3/e2olMrmAXCGjqcpJ/uRU+h+XwKePLWfhJ0XIZALDpqWzaUkN9gZ3eGcBXPrhDPV8xLW2YdwTOZf7Gr/ij5zTmf/BR/TPHYlS2fX4VYOtjY8fux2/XMOapASSHXX8HqGn8Z7/45YnXjmCd0DiQJFacyWOSpbO+Z5W9SZGbUnAZs4kd2L6Mb/iHWcxYxAECtNkRAeDpJmPXQVhiaMDmUwge3QKY/4+ikuemcSoMzOxRfQh1jeQF96E9KVqmhr0+MtVfGJ2836MF6fhBzar5bz51L97OnyJvyivPHYPAaGQpNawXUt8H0sPRyQhcWxgTTJy3r3DKZiaRkJ2BBfOGMn0GwcxfFo65mgt5/xzGP/f3n2HSVWdDxz/numzMzuzvbB9WZZl6bCABAsqArYYjTUm0RT9GTWJiYk19pjYjS2WqDGxB8VesaCAivReloVle6/T2/n9sasi0lTYXeD9PM88u3Pn3nPPue/Cmffec8897coyXKl2Fr66GaPJwDG/LOXYC0Zy8qXj8Ho19aNOofSTOuKUmYWJrQS7AtiUmcf+dBF+v+cb+6yrreKJ26+kcVAmMWc5afphFie/xQjvw2zKTeKuGy7thyMh9pRcERX7pQ/nvUeHqwqT5TzMhiilU2RafrPRgCPac4XoUF8AV+7Ifq6REHtOKcXoo3JYNbeG1SMuwBlrZ+qndzDz83YALsxIZdV5h3KT/TUu6nyLUPfkfq6xGKi6HTZ0vY+QvZB4JzJbrhB9yGo3MenEr57Z60y0fvm7O9UO2PnRH8fS3RogvcD1tYsIGQUuWhrLyHnjGf7vrNO4W7/EPzqf5p78PzKjvYF//O0Kzrvkaqq3bGD+8y8QIkpbdiLhpEbC6l3eTDViMrkYljCYx8wb+Wnry7S7T8fn8RDndPblYRB7SK6Iiv3OhpVLaE5sZtyKfFpSxzBqSgo258E7W+624nQcAAV+F7mZaf1cGyG+HaPJwLRzSimZMgi/NZk1J9xOyj8eJOeRhzFb7Yy86SVmrlQsc3WxNSsTr9/X31UWA8znH71F0FrF6NXxtCUOJXtURn9XSQixHYfbSkah+xsj2QpGp9LutRJ0pHDMohDptiTuTLNxY/utdEVbqS7I5uXrbmbJ4y9SNTiDcHIHnd2zSVi1ihOfVfznbs2LnnN5/Jj/MtyWzYeuCKZAEw/+7Yp+aqnYHUlExX7nxRefxtC9mIzAiVhUiHE/lit/XyggjeJgiAzrmIN+qLLYP2UNTWTqT4ZywsWj8XaFeXu+hbmr3MTf+ySWggJmbrCzxmomEAvwxD/v7e/qigHmg3dex+hbi5NjiBmtjJkmk7YJsb/IH5UCgGf6L/HMfoXbzGfjcSRyTnYCdanvMr36TVbkJlGeZybF/yQroyuY9ulJpKqbqRhxO5sOu4zOB/5F+ZFH8duWCdSajIw0vMr6nBy2bFzbz60TOyJDc8WA8Mm816lY9hHjjjiJ4aMPRcdibN68lsLCUpThq/MlTz3wdzrd1YybW0L7oBImHzsIi03+jL8w2DqYF+s+Zt7Yw/u7KkJ8L5lFCRx/4Sg+mV1B45YuXnu4kyMmTydj1qP4YgZS/Fvo7JBHcoivfPb+K3SlJWPfCDVZh1NU6iRpkKO/qyWE2EOJGXFkFLpYW1vIpJFTiPvrwzxz+SW8lVzBI4ZXWGVtIT72P/wGRWG5iZ8vOYyKwTPIGeLE6o5j0+I4Cq57DOfbD5N03yzOPDmF24s1P697n9lP1GM0mJl60kyGjpiM3R735X7bm5uZ9ei9NASaSO0y47FGueDqvxMfn9CPR+PgIN/gRb9ra29mztsvk9PiYMHa55iV8Ry5nUa60904K5s44rILKSocRdWmjVR4OnBVleNPvAqHLcKoY2VCnm3FUofhrbOSM+bo/q6KEN9bdkkSp1+VRFeLn+dvXsQG02gGh6OU1BiIj9uATpje31UUA0RXVztz5r2Ljq8ir3E83akWxvxwWH9XSwjxLSilmHHeCGb9fTEris5hVCRG4Ob7OTTi4ZDrf8cD6YtwaEhf107hxolUDJ5AdpGTE/4wAaWgo9HHqjVRTn/wEWrOPoNTV/h4q9jDy+nVjGgbQmNSPt3z5/H5rNfwqBAhFcUcUdTn2sFehcEWxOTwEtD5PHjrDVz217v7+5Ac8JTWul92XFZWphcvXtwv+xYDy61XXkDlsDwWBgbjDPlJjPdwbFMN7iZNk7+a6iEZZLRbUOEArYnzGTP/GJrTj+bkP41j0BC5IrItbyDMys21TC7N7++qCLFXffLiJpa/V8Uhn1/P+yPbCIzzssHyOw4zOvi/887v7+qJPjZ/3iy6Pe2MOeQs3rzzcupMUJeVg7HzCSYt+RM6NYuf3XOs3KIgxH6oYXMnL9+1jGgkhtEIoz0fkLD4ZZLOPQdlMrPwow6qMg6nbHoWZScNwWjsGTm3dXUrbzywgoT0OKYUNeH76+XErr6IcyIPkxyNcGx3kA4cELOhlQEVGYyKtZC0SpPiH4+OrOatMVvYnK85umUsaYFBXHzt7f18NPZ/SqklWuuyHX0m94iKfrVgzss05uWTu2krH9b+nke6LuWC+tsxeTbzYZKD18YdRUNCLutzkoi412HaBG2ph1FYZJYkdAccNrMkoeKANPLIbFCKptGnUFZtZrHdSqqnkbaNS/q7aqKPVVSsZMvza6heUsN//3kb4a4oqwuLGd/0OrlrsuhyD2bYodmShAqxn8oodHP8haOYcmoRqXlulsYdRdMxF9L22OOsfnkZVRmHU1qWwKRThn6ZhALkjUjmh78fQ8Ab5u3PXfhHHYnh5gf4zyu5TNzi5rEkB21VMUreM5G2KJH1/pXkLhuJwXk5bWnT8aecy+UvmymsMbAkcQlbXVGeuOlydCzWj0fjwCaJqOg30UiUT+ctwNVUQ27Ca5xWkMFpWZlclhnPu1nLSY1/nEuab+RHtY/i8j0CGxTDW84marQy8Sfj+rv6Qog+FJ9kI2dYIg2OEtLqAjRHTAwJLCGQN4i6msr+rp7oQx/e+ygdkU3EV0RJCRl4ZswUzqp4nXcSWinoOBIDEUYeJ8Nyhdif5ZQmMWZaLiddMobBY1JZHSih6ndPsXHkuWQVJ3D4L8bscLvskiTO+MtEbA4zG0eeQ/Ilf8AWNXLWK15eW3AIx66ZRmvezeC+jGlbrseXeDy5mUGO+VUpAUsSjcXHcsU78bTGjPjMb7LFYeGByy+jqbmmj4/AwUESUdFv7r7m9zS5YpD0BrckJ5GVMZobfnAD1xxyDTpjBPMS07kyw8VDNs2ojw8j3vhH2lKGM/qoLJKz5HlQQhxsisan4w1b8DjzGLUVvPHllHvjeOb+W/u7aqKPLPzwVRps3XRPyeCdU+28407kP5U38UnaZrI3uWlJnUhxqUMe6SXEAcJkMTL9vBEUlaWxaWUnafkuZpw/4mtXQrfncFuZcuoQWmu9zO8ez8clf2bN2Iup3uhjc+FJFI5JYeL0DAyuBA49IZMTrjuOIWXpZJcksjHtGFpVLtd8lsPHTjOKd2nPSOTZex/igxcf7cOWHxzkHlHR53Qsxt1XXkjdoHiC5peY67Bz3vBfcPH4S1DRGK2PPkb7M8+AxYwnN4PyzrE0p44l3R3khOumYYuTLxhCHIyCvjCPXzaf7JqPCCZ+xO2HN3NTYzfPxF9IaU0VJ597PkOGjt7htu++MYvPln6E0RfCYnFRkOzkxPOvwGqz9XErxHcRCIV46tbf0qTd2BKsPOcrZVr3Iia7Z3FHips2o+Kvc06kxjmNM6+dSPIgOVkpxIEkGo1Ru76drJLEXSahX9Bas+zdKjYsbMBkNtC0tRuAtLx4Tr50HCaL8RvbBP0RXrt3OS2V7ZQt/BsfHhXimRGdnFWfTdB6KF5/LUXdblRnMwUnHsZRx527t5t5QNrVPaKSiIo+d99ffkttqpsG6yyW2C1cNub3/Gz0r/EvX079NdcSLC9HHTqDzZYRtHcb6XDkMmFaBmUnD8OwB//5CCEOXK/dt5y2dVVMXHAtd1yczmJzLee0hamJzcCmUknzejB2dhEzGGhPSyKgm3G2VRGIa8Ngz8egQ9TYxpAfihLrbKLAksTZV92IwfjNLyVi4Ljnit/gbAGD0cwTo8v4X+M1+M0ezsgaRF5iEb8edDr194Qwp6Xwk7uP7+/qCiEGEK017/9nHZ72ADPPH4nNsfMLGt7OIM/f9DnmribGL7ie/x5v4tOSIKfVFfFexgxyYl6G17TTHmhkwsTDmHbqL/qwJfsnSURFn/F4uph9+7XEIiYGjRxGbvEw2qrqyB8zhqaqWha88hQVRQW4/bN5ITnITdHjmbAuRszrxTt/PtGMPOqm/Y7KegvRcAyz1cghPypk+GFZ/d00IcQAsOL9aubPKmfKyluIz3Dy9JEwx7ARU1RTbIoQFzXiCqZjimgSNw3HrGcQMTtJal3Fu8WPs7g4RkYkwtGdJmoMxxGwpZHT0UVcZzOjR49n+pm/6u8miu28+fyDNH5WzoJpCYSCFn6x/DWez2xiQZyNOFMcs0+ajfeuF5lTN4LJx6Qw7sej+rvKQoj9WMXSJt5+ZDWjg/NJ/uw5bj/TTG1WiHM6u0kIxlERmsic7MlMbaoFv4+yKVNpqN3KprpqUm1Ozvvz9f3dhAFFElGxT7366H1sqK9jZGEey1evpCE7g7DWxJQJcyyEQWmM2AgoP5m+BTiNtTzvMvKHt2yMXOPHmJCAMTERS24uGyZcQPmydvJGJHPoaUNwpdj7u3lCiAGkvcHLM9cvZNKYKPGP/4VYVxdhk52OhGLa42pBZdDuSkRbx+NzDsER3Eji4CRqalLIrXqP/LY5vHqUheeGdpEciZIXCRMXNeAOJBM2DCe1xUVBajLNnU0Ew2F8bgPBcCPalEpCm8Lpiuc3V/69vw/DQaOlo4vH/nYpy8tK+WRNCWOMm5jqvp3HE9z8csQvOT46nMRF5cz90E9rymjOuf0I7PGW/q62EGI/prXmxduW4Gn1M37dgxjbt3LVuZoKc8/w3tRIhJmeAB3aRiRmJmYYR1CtoybYTaE5AZNxBplb6znr0qtJH5TTz63pf5KIin2iunITsx66i8rcHEwRD46onWBsPRX2xURCiuJaUBFoSIVEd4gGbcbYbKIqDS5e4GD00i4c/3cJmeefg9lhIxSI8MTlCygan8ZRP5cZD4UQ36S15smrPyUUiJCWHYct2EZljYFw9OvD9q2xbkaNi2PC/01DKcWHT6xk7WfNjPe8i3vxq8TGDOPtgmbC/gDBcICKpBibBsHwmCLRk4q71U5K0wRMsSGErCk4Oz5k8YRXMZuHktpRxMV/uhZHvKufjsLBQWvNnVf9jlBhPP9rGcttvgdJMTby63zFzIJjucJ/NNVXXkNd4lg2Fp/JmClJTPnZjmfSFEKIb6Npaxev3rMcpWOM/uxWkjLsWG+/lnXmFp5d+Sgrmtbw21eiDKvSvD7JwPCtmmE1dp45IkDlqBhu7zRyIkn87vxLcCUc3I8blERU7HWfznmNTxYsYKPTShnPstCpGRRUhDdamVj1QyJmNx0JxWgUSe3rMQfWE7Sl0540hZGrH6EjoZjO0iNp88eRWeRm5vkjWflhNUve2srJfxrHoKKE/m6iEGKAqljaxKYlTTRt7cLbEaJwbColh2TQ3uAjOduJO9WOM8GKMnz1HMlIKMpLdy2jrc7DkJQO4j95AUflEhTgtafRkVCE0pqQUdOa9gM6XQUYYhHMoQpi1jjCKofC8n9wy8mVTItqfBzDyRN+xMQpU/eozj6vB7s9DmWQ+9z31BN33Uh32M8jtok83vo3EmxVLLGZeUIncOemiRg+/JR1P7iEessQkjLsnHL5BKx2U39XWwhxgGhv8PLK3cuIBkOMm38jNl94TYdkAAAgAElEQVQzziOOwOiKp2vlOrZGcmnJKiMcMYLBgDcuk5FrHuKRGWspz9Kc0JpALHo4PznuDIaM3PFJss8//Zh5c9/GabFyxi8uIiEppY9bue9JIir2ilAoyBtP3klFRSMhtxtbbCkrkjaw1GbDjYUjPwkwoeZkqnOOwmGLkpRuxeq0UlPeTSDU8+XLaNBEYz1fDtPzXaTkxrPm49ov95E1NIGTLhkrDyIXQuyW1ppYTO/RDIrQMwnFR89soHJVKzqmySmwYndZKV/ZxbZdodMaoKDQzLjTJ+DMTCAUiPDctfMJtbRRsu52npnSRXWOZqiahrs1TL4pieN/ewlJCalf1S0Wo6urjdWLPmHuR28TNUTpTrKT3wA/vepa3K6kvX04DiidXe089febeCe1iAc67mJlvI8r0pJRGh56UJMcsRE59TfM3VrA+Jl5TDqpUPoNIcRe11bvZfbtS3C6jBwevxjPSy8QsCSybMgv8Cg3aXnx2GwQiRrobPJhaK6mbNkdLC80UBsfj8WYi8nsoDUjjEW5iBpCWDuDODodWEKDiBnziBrsmEO1dLjfoWVwHGnNmfijHgoyBnPS+RcS53D092H4XiQRFd/KvLdf4tOFcwmFfGC0YAyFcFsT8FvM1LjjMIY7yIp8yHMpAUyYudE7g9wXF1Gl81lf8lNGTs3i8DOHflme1prmqm6C3giWOBNzn17PhOMLKBzT86Vt8/Jm2uq8ZA1NJKPQJV8mhBD7VMATZt2n9Xz2UgXKqCg9dBCjj8ohEo4S8IQZVJTwtaupAM3V3cy+dTFxvnqKVz5BwGrjxZmb8Cb+mASTjdItHfh9neBwoBTE4ixsSEuiRVtx+LwkRruoTsrk0NYm/G3tXHbLg/3U+v6xdMG7tNfXU718MeF2H9OvuJI4iwOfr5vs3KKvnUyoa6zl8ftvYX1aDve03M0rCfH8M8VJvruQWE09N9/bhv3PN/LBhkxMZgM/uW7SDh/FIIQQe0Plqhbe+OdKXCl20vNdbFnRjNFkYPqvh5Nbmvzlehs+q+e9J9aRpzZTH04nZPp6AmkJthAz2IiYex4vZQ61YYhWoQ0+YoZhaEMcDepmOke0kxAYRXv8CIauqyUCmCxmvC47RgX2Th/tthhjC0bgzMmiZPQEUtIz+vKQfCuSiIrdem/2syxatYxudxhirZhiPjRhFEGs+DDhodXip9IWo9xiJqIUpeFE/rZiOKE5c/FOOIHPHTPJLknk+IvHYDTJ8DMhxMDm7QxiNBl2OZX/tipXtfDWw6uIRXr6zYzq//LOhIUMUpqoPR1tSMAc3kLYqDGYTNTZfay2mdBAXExzXluATd7jKc8pYLrHz89+f/U+bN3Accd1F+Mmns40I+62KLaqGNWJdSR3uwiYgngzEhlU7YN4Tbs1jrhQjE9LB3FK7X+4Lz1Gg9nApIxJ3Hr4rRjnLGDVrU+yvuxCjBYTJ186jsSM/ftqgRBi4KvZ0M6CF8p7TlYWJzDxhELcqV+fUDMW03zw33Vs+KyB+GQbk04sIDHTQXP5CuY/9wbGcApaRQm7Wph27pkUjxv/5badDd08e/2nuFs30GJ8mEVDNBmJYeIixcS0B2eLF7/Nhz85hiPqIKrd+COQU+mmMyeHq6++p68PyR6TRHQAm/vmLBbMn4PNF6Y7LZ7JRSOZcfp5fVqHu/5yMaGkalbHbWCt2URxraa4RpHhHYmNMRhjDjRBOszvYDa1MDiSSHrxWFyfrCNUVYXzN39gzpYh2F0WfnzZeCw2uUdHCHFgqt3QTsOWTrYu3Ep9XZjE9g1EzA6cXesJqyYwjwCidBnmUZ9aSWnQhd3s4NUfmPhEV3FqVzfDW0tYY5/M2SecRNHwPZtc58kbrqY7EOH/broZo2n/+T/2oVuuZlFKAnkN1eQF61hvymN+9iis1giBDiuDwzW4nFDS1kHYZKQqwYGxqZMz/e/y1xwfHXHJXHvYzUzNmYpSioYbb+S1ylE48zM57jcjcafG9XcThRDiS1prqta0kZobT5zr283gverDaj5+vpyktrW4O7dgiPrpcMSI2EfR6S7GEuoiuekt1qctJTkwHLN5Bv64THC9xkW33b2PWvT9fe9EVCk1E7gHMAKPaq1v2e7zqcArwJbeRbO11jfuqkxJRKGmehMPP/skYe1jSXIxx+gKHKu6OPumm0hwJ+++gF7RSIT2tgZS0rK/1f7nvvUS769+H3v7XKzV8QyvcZHW7iVsdlA++Md0JhRhiXmxmYL4o3HoaIysunlkBzdirduAweEg+58PMG+ZncrVrZx+1QSSMuXMtBDiwBcKRFj0SjkVn9dhNcdo6TAACqsxBFoRjJlJa1yMRQeIKhPDWt/jo6uO5IHG/3Gsx0ta25EYoqlku2ycdsm1u5zE6IWH76apoZHuRDPh1k7+csO9fdfQ7ygYjvDkHTeyPs7MVM9zvJcYoMloZlQwwEldARwhJ8rSzmd2K4UeJ/WxbKJEsBs9vJHSyaf2OPwG+MfUuzk6b9qX5W445SzeSzuPyacMZtz0vH5soRBC7H3L36ti0WubCQVjXy6zGXwUDY2jsT5Kc8dXtyE4DV2Mn5ZF6UnjMezhXAn94XslokopI7AROAaoARYBZ2mt126zzlTgT1rrE/a0UgM5EdVac98Vl1A4qogTzv7tTteLhMM8fvc1NHU34rIl87ur79ij8mPRKI/fehktISP2uI9Y7mrj120B7tV/IDu3m4w1TVx47S044uJ3W9b//n0/bUvXYcdOnb2DCeMPZdoZ5+52u7v/8jvazK0MXl+KMmTjif/6c44sNiNTThtCySEZGIwGutsCvPPwSpqrvVgdJo7/aQ7uZAtr14b5dHYFk04qpOzY/D1qvxBCHGj83SGC/gjxyTZ0VPPJi+WUL24iEooRCccYtfEJ8ktdvHPeaO5Zfi8/7vZg7D6MxK50AqYY4yeP5cjjfvqNche+/wYvrlyGpbsVYzSGITWVQaEY5/3x2j5r2wfvvMHGd98hlurA29pEdvYQzvr9FUBPf9nzExrbGilf/iErPlpI0O+jriCXEs9LPJgexGFyUJwynOVNywjrCOnaRKOKAGDUEN3mllwTBo4ffAJZ8dlcMOqCL+cN6Hz9DdbdeD9Lxv2Z4y4cRcGoA292SSGEAIhFY4QCUSKhKI4EK0optNZsXd1Ka62HlJx4coclfWM+g4Ho+yaik4HrtdYzet9fCaC1/vs260zlAEpEX531Hz5orGdwTRPmSJBTr7qOlKQ0AOpqN/POfXdRY9PER+PZmu+i2u5kpLcVZ20nl17/jx2WqbVmw5LFvPzKkwTdZjzmSlrM61nsMGDUCiOavzV0cpu+lh/rSnzdXVx83a3YbPYdltfa3MQTd95MVZaTjO4mulQCq9IK+GFlFQaPlwY3WC1mDj/yh0yaPBWAzetX8+yzDxLfEsbmTQHDeKLGOOLjvZRMHUVKfhKejiAms4H8USk7vG+qo9HHS3cuJRSIYHOY8bQHySlN4vgLR8l9oUIIsZ1oNMa//zyfTFsbhbOvJPvRR7jfNI/n1z/LoEiYUU3HUJVWxGGbttJsD5MbMPLDP1+BLxjm3X/eQV2cA4P1dZY7g5SGQiz1/5njWjdz1BmnUTx20j6te2dHK/+69VoaMh1ke9aQFfYzO+N4JnrbiKvppt3iJy5mQ9mtGDUYtKY2KZ6I9uIK1RKIW8xLLgv5xlSeOuMVXBYXbYE2ZpfPZlXzKsakjaEsvYw5VXOIM8XhsrgwKiNj0sYwNKlnwrtgeTmeefOJdnfR+q9HaZ1wKiush3H2DYeQkC7DcoUQYqD7vonoqcBMrfWve9//DJiktb54m3WmAi/Sc8W0jp6kdM0OyjofOB8gNzd3/NatW79Tg/a1t95+jcpVV9EdKqU+aTSDN26lLV6T7rcTcllpjncSDVcwiGWU+BUtoXyeMx9NYW4XxcsbaI2P4ggqTNpGY5qToLWdGDEisToSazaSWp2Iw++nKclPfP5QTrnsYS6acz6b2zdxa12Qq603cGzcJqx1jVx63T8wm81EI1HqayvYvGY5ny/8lKYkP8mh1XyU2ILXYOCkbi9pYcVC/0+JGo3UJaWSFmjHGfOgVDuptR0ktmagOJywNQkVC2MJ1XDkuaMZPHWHfxs75WkPMP9/5QS8YcbPzCd7WKLMdCuEEDvx/hNr2byimSPW3ILRZKDwlZdZtmU+v1zwW4rDYY7yhND+IipsY/HGpTC6thFtiFKbkogj/BrPpARJVU6atYc/VLt5KvtXHLVpIZdefSd2+57fDtHZ1Ur5hqW43GlkDiqkvqGSreuXU7t4PZ5wiLFTp/CDo3/I5g0reWfW/6h1KKLG95nv6qLTaMSoNVc1eVGeYmodHjoNdkKmdsLGAAZtQGkDAZOfzxxmPAYDSsOJmVO56qhbsHnDKJsNg832tTrpUIjujz4isHoNltxcnEcdiSmx5+HvrY89RtPtX400ij/mGKoOvYAVHzVy/n1H7PFje4QQQvSf75uIngbM2C4Rnai1/u0267iAmNbao5Q6DrhHaz1kV+UO5Cuind11HP3CDKJKM6M7hNszFp/JhUWtotvsxWuK8LGzZ7IIk4aJgTCndXaxxXMEdbZkjOYK2qxNeAw+TM2KkopCjCqFhEAePtdYQhYXxqifsav+iatjM/bx43HccSNnf/xLLN2N/LumnX/HfsjS3OFM2LiakNGAEwdbM91YIhV0GVcwzxUhZjCQFDOTl1bCspZVAPyqoxMNuGMxXnc6cFYncGTFWfjiRwFgCdQSTV7Fr2/+Kybbt7uJWgghxLe3ZUUzbz64imlHQOyGizA4ncQ8HgJFWdxyumatbgIgIxJhsi9Isi+ZsAHarF0sD5o5siaec868hePLL+HYrg5Smw5nzeCh5K6r4qpbHtrt/ivLV/HsEw9icCZT5XJhimqchAjZDHQZLUQDYVzBJsKWRDK9EdrtEWLRJbRGqkioNTC82ULJyKl8qNfxQmYNAKYIlNRoRlZqbFFFgi8fWzSLNtsCRjXbiQ8asAY11oxMIh3tRJtbMLrdWEtKiHm9xE2YQGD9OoLrNxBtbwelesb3GgyYMzIwOJ0EN24kfvp00q+8Ah0OY87J4e2HV9NW7+XsGw7ZpzETQgixd+zzobk72KYSKNNat+xsnYGciOpolPIfn8yaND//GF1Pm1NRWm1m2poyLJE4wrHPGVflxXLVJbycWcv8mnk0eOs4u6ObBXFWAl1mzvzYSIZ3IvWZR+Jz9Dzbx6DDZGbA4CNLWf5eNQFvmCNHdRK56y/Yy8ZTd+OvOP+D35CpTaQHvWSFFMneofjN7XhVG+2+KIO2WphYOZnktlU4fnQYhZdcgc1gIdzdxfXv/onX9UoAzGHNZe9k4HFcQMgST352E4eefyKujIT+PLRCCHHQiYSiPPbn+QydmM7Y+I34ly9HWay0PfUUlvw8jCdMZ6OxmSWelaz0bSa/NkZJjSZihEM2aAwxwGhk/gWTeMi1iL81NrHAcwbNeZkUVdRy0XW3YbN+/TaO9asW8d7TTxPUAZozB2GKVJBkWITf5AMMWCIWLDEjXeYwi+MMbLaYGRSOUBqI4thgYkTtj/G4RmMLtjN084s4O3tGMLWPzEXHotDgpN01BKUUUZOdmowpaIOJ1JYVxCeYCNqTSbQHyO1aitXtxFo8BN+SpYTr6wEIbtiAraQE65AhOI89FsfkQwht2oTn/Q8I19URaW/DlJRMxnXXfu0q6jM3LCQhzc5xvxnVV+ETQgjxPXzfRNREz2RFRwO19ExW9JNth94qpTKARq21VkpNBF4A8vQuCh/IiWjU42HeNU9j/ex1EmJNbDmmiK6NZbQmjQbAEAszsv4VUus+p+DFFwhnpXLhexeytGkpM+tSOO69XMoLTiVscpDk1ow5voiM4hRcKfYv76Psbgvw8l1LCXgjnDixhfYbrsY6bBhbzp/OK+Y1JCzfyJpQLTFMnLjicAzmMmIGC0rH8DkySFDtjJl7LQb91axaGI3UXfVTRiSU0Pri63wanU7MmciJl4wlY4hM6iCEEP3l7UdWUbepkzOumoAt3kzlyha8K1YT9+I9hMs3ooHm1LFU5s0kYrRhUUHcnioGZ0cZcsnPqbv8CgLlG7n96mI+96zhtsZWfJ5xzEsdS4LPgKO9Cew28AfpTsyg3mHCEV5OzLgJj9nDojgrma2amN1Ep10TJIoxCgbgl0uTyd06Ea/Ni8WzgZjtGBozJpKdEqTFZycU0Iw9OpOizs9ouv9+ykecQ03ccL64I0MZFXmlSSRmOlk+pwoUxLkteNqCDJ2UwbRflH7tWGitaapoZ9kHtRSMTmXe/zZiMCjGz8wnb2QyZosRR4L1G8ewcmULbz60inHTcznkR4P3fdCEEEJ8b3vj8S3HAf+g5/Etj2utb1ZKXQCgtX5IKXUx8BsgAviBP2qtP9lVmQM5EQ36Izx59ScEfRFSQlWkVXzA2mHnMu6wZIbPKGbO42tp3NJJ2er7yJ5SQsrFF9Exaxa+tWvZUGlj0+CTScu2M+WMEjKLEnZ6/2RzVTf/+9siDj+zmLzgWhpvvplIczMGu52YzwdGA2tLfkpD6iSSrd04kh34YnbSi1NY83EtY0vCDDFvQlksKJOZjhdfILSpAg2sL/kpDRmHcMplZWQUuvv2AAohhPiajYsamPNYz2Tz1jgTQV/PjLFJWQ6GjHKz8qMG/L4YiQmQnOvGH1A0bukiEo6ROzyJ4cWa4O9/QvKf/sgfMt5nfes6hgSCuGMRbFED1nA8Bu3A3hXC7LUQ9AcZVO/HFg6zssTCsTWpZC2txRAXh6WoiED5JqLhKCaTYk3+6TRkbDvxkWbCCQVMPKGQgCfMx89vpHxRI5N+WICnI8iaj+sYNyOPsuPyMRgVSrHDRwcsfHUzi9+spPTQQWQOdrNlZUvPbI/ZTuo2deLvCgHgSrHhTrVTva4dAINJMeH4AsbPzPuy/1y7oI65T28gJdvJib8bjd0pt5YIIcT+4HsnovvCQE5EAcLBKGvn1/HpSxVEIzEcCRbOvmEyZquRUCDCE1csIMtQy+D3bkXZbES9XirHnsMW53gGj05i2q9HYjIbd7kPrTXP3fQ5VruJU/48nqjHQ8PjT7JwcyoBsxuHp5YancvoKckc+rPRX9v29QdW0FDRyc9u/gFWu4nOZh9bFmzGv3QpG/05eLo142bkMvnkon15mIQQQuyBcDDK3GfW406No7XGQ3qBC3eqnTn/Xks0HCNraCJDJ2UwdFL6l0ldyB9h2XtVrFtQTzgY5ai2/xJetQxjcREvn5yGqthK6dxmlB6LNy4Rvz2LbtdgtOGrGc/NER/DVz9KcmArCeecw+YtGo9X0xhXTHfYTrzZT1c4jrLj8imZnMnW1S1kFLpJy3N9WYbWmnf+tZqKpc0AjJmWw5RTdzkNBADRSIz3/r2WytWtRIJRTFYj2UMTaavzAHDY6cVULG9m/Iw83Kl2Vn9cSzQSo2FzFxVLmxh+2CCyhiayam4N9Zs6ySlNYub5I7DYTHszNEIIIfYhSUS/h85mHx2NftLzXdicX3Xu7/9nLRVLGvnBe7/Hkuii47f3s2huGyMOz+LwM4v3+Lk+S96u5LOXN3PCxaNxp9p5+1+raa/3klmUQPPWLuJcFk7/y0TMlq8ntV9cTR19dA7FE9N57b4VBDxhANILXAw/LOtrX2iEEEIMPPUVnbRUdzPi8Kyd9hv1FZ3Mvn0JPzgintRPn8K3ZAnR1lYa0iawoeQnRA0WjESxG/0MGqRIL0giZncRscWz8bN6vG0+jj4jjyXz2mna2g2AI8FKwegUOhp95AxLYsy0nF32F5FwlC0rWrDYTOSWfrtn18VimvYGL3anhTjX7q9kaq1ZMGsTKz6oBiA+ycboo3MYcUSWPCZMCCH2M5KI7gPV69t49R/LOWRkkITibN6e3cyQ8Wkc88vh36qD9neHePnuZbTVeYGeIVvTfzWc3OHJ6JhGa73TLwcfPr2etfPqUAociVam/2oEWmsyC937xQNuhRBC7J7Wmll/X0w4GOWs6ybh2VDBkofmsDY4lMzBbo44eyjJg5w73Larxc9Ldy7F0x7EaDZw9DnDKBydijIqDAO8n+hq9dPZ7CdrSIKcVBVCiP2UJKL7QCymeemOpbTUdIMGV6qdUy8vw2zd9XDcHQmHoqxbUEckHGNIWTrxSbbdbwTomOazVzYT8IaZfPJgbA7z7jcSQgix36lY2sTbj6wmuySRmg3toKFofBrTflm62+dpBrxhlrxVScGYVAYVyczpQggh+o4kovuItzPI7NuXkDTIydSzh+Jwf3OWPyGEEOL70loz+/YlNGzuYvDYVIZMSKdgdIpcKRRCCDGgSSK6D2mtdzorrhBCCLG3dDT5qFzZwqgjsyUBFUIIsV/YVSIqU899T5KECiGE6AsJaXGMmZbb39UQQggh9go5pSqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok9JIiqEEEIIIYQQok/tUSKqlJqplNqglNqklLpiB58rpdS9vZ+vVEqN2/tVFUIIIYQQQghxINhtIqqUMgIPAMcCpcBZSqnS7VY7FhjS+zofeHAv11MIIYQQQgghxAHCtAfrTAQ2aa03AyilngNOAtZus85JwH+11hr4TCmVoJTK1FrX7/Ua95GzXn6Q2riU/q6GEEIIIYQQQnxDlq+FZ3/0m/6uxne2J0Nzs4Dqbd7X9C77tuuglDpfKbVYKbW4ubn529ZVCCGEEEIIIcQBYE+uiKodLNPfYR201o8AjwCUlZV94/OBZH8+uyCEEEIIIYQQA9meXBGtAXK2eZ8N1H2HdYQQQgghhBBCiD1KRBcBQ5RSBUopC3Am8Op267wK/Lx39txDgM79+f5QIYQQQgghhBD7zm6H5mqtI0qpi4F3ACPwuNZ6jVLqgt7PHwLeBI4DNgE+4Bf7rspCCCGEEEIIIfZne3KPKFrrN+lJNrdd9tA2v2vgor1bNSGEEEIIIYQQB6I9GZorhBBCCCGEEELsNZKICiGEEEIIIYToU6pnVG0/7FipZmBrv+x8z6UALf1dCfElicfAIzEZmCQuA5fEZmCReAw8EpOBSeIyMO0PccnTWqfu6IN+S0T3B0qpxVrrsv6uh+gh8Rh4JCYDk8Rl4JLYDCwSj4FHYjIwSVwGpv09LjI0VwghhBBCCCFEn5JEVAghhBBCCCFEn5JEdNce6e8KiK+ReAw8EpOBSeIycElsBhaJx8AjMRmYJC4D034dF7lHVAghhBBCCCFEn5IrokIIIYQQQggh+tQBlYgqpXKUUh8qpdYppdYopX7fuzxJKTVHKVXe+zOxd3ly7/oepdT9OynzVaXU6l3sc7xSapVSapNS6l6llOpdfrhSaqlSKqKUOnVftHegG0jx2ObzU5VSWim1384w9n0MpJgope5WSi3vfW1USnXsizbvD/opLjcrpaqVUp7tlluVUs/3xmuhUip/77V0/7I346KUmquU2rDN33zaTvYpfcpODKR4bPP5Qd2nwMCKi/QrX+mnuEi/sht7OS4WpdQjvX/r65VSP97JPgdsv3JAJaJABLhUaz0MOAS4SClVClwBvK+1HgK83/seIABcA/xpR4UppU4BPDv6bBsPAucDQ3pfM3uXVwHnAs9818YcAAZSPFBKxQO/AxZ+1wYdAAZMTLTWf9Baj9FajwHuA2Z/n4bt5/ojLq8BE3ew/FdAu9a6CLgbuPVbtuVAslfjApz9xd+81rppJ+tIn7JzAyke0qd8ZcDERfqVr+mPuEi/snt7My5XA01a62KgFPhoJ/scsP3KAZWIaq3rtdZLe3/vBtYBWcBJwH96V/sP8KPedbxa6/n0BPlrlFJO4I/AX3e2P6VUJuDSWn+qe262/e82ZVdqrVcCsb3UvP3OQIpHr5uA23ZU/sFiAMbkC2cBz37Xdu3v+jouvWV8prWu38FH2+7zBeDo7a8CHSz2Zlz2hPQpuzaQ4tHroO9TYEDG5QvSr/RhXHrLkH5lN/ZyXH4J/L13vZjWumX7FQZ6v3JAJaLb6r3sP5aeM5XpX/zD6P25wyEF27kJuBPw7WKdLKBmm/c1vcvEdvo7HkqpsUCO1vr1b1v3A1V/x2SbeuQBBcAHe1j1A1ofxWVXsoDq3n1GgE4g+TuWdcDYC3EB+HfvsLZrdvIlTPqUPdTf8ZA+Zcf6Oy7b1EP6lW30UVx2RfqVHfg+cVFKJfT+elPv8NpZSqn0Haw6oPuVAzIR7b0i8CJwida66ztsPwYo0lq/tLtVd7BMpiHeTn/HQylloGcoyKXfdt8Hqv6OyXbvzwRe0FpHv209DjR9GJddFrODZQf1/2vfNy69ztZajwQO6339bEe72sGyg/rY70h/x0P6lB3r77hs9176lV59GJddVmMHyw7q/9v2QlxMQDawQGs9DvgUuGNHu9rBsgFz7A+4RFQpZaYnsE9rrb+4N6Cx99L0F5eodza2/QuTgfFKqUpgPlDce6O2cZsbtW+k56xC9jbbZQN1e7E5+70BEo94YAQwt7eMQ4BX1UE6ucQAicm2zuQgHj71hT6Oy67UADm9+zQBbqDtOzXqALCX4oLWurb3Zzc99+NMlD7l2xsg8ZA+ZTsDJC7bkn6FPo/Lrki/so29FJdWekY+fXHieRYwbn/rVw6oROxryf8AAAHZSURBVLR3qMBjwDqt9V3bfPQqcE7v7+cAr+yqHK31g1rrQVrrfOBQYKPWeqrWOqq/ulH72t5L591KqUN69/3z3ZV9MBko8dBad2qtU7TW+b1lfAb8UGu9eK82eD8wUGKyTX2GAon0nMk7aPV1XHZTnW33eSrwQe99JQedvRUXpZRJKZXS+7sZOAFYLX3KtzNQ4iF9ytcNlLhsU470K/R9XHZTHelXeu3F/l7TMznU1N5FRwNr97t+RWt9wLzo+eKlgZXA8t7XcfSMQ38fKO/9mbTNNpX0nJXx0HPWoHS7MvPp+Qe3s32WAauBCuB+QPUun9BbnpeesxZr+vv4HMzx2G6duUBZfx8fiYkGuB64pb+PS3+/+ikut/VuF+v9eX3vchs9Z1Y3AZ8Dhf19fPb3uAAOYElvOWuAewDjTvYpfcp+EI/t1pnLQdqnDMS4IP1Kf8ZF+pU+ikvv8jzg496y3gdyd7LPAduvfFERIYQQQgghhBCiTxxQQ3OFEEIIIYQQQgx8kogKIYQQQgghhOhTkogKIYQQQgghhOhTkogKIYQQQgghhOhTkogKIYQQQgghhOhTkogKIYQQQgghhOhTkogKIYQQQgghhOhTkogKIYQQQgghhOhT/w/Jfkd9LqDinQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,1,figsize=(16,3))\n",
    "ax.plot(times,data);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python (py38_ct)",
   "language": "python",
   "name": "py38_ct"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}