{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# illustrate using Pandas and json IO to Access Data from Hurricane Ian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# adding a \"widget\" to be able to zoom into figures\n",
    "# the % in the next line indicates that using a linux command\n",
    "%matplotlib widget\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "#access a function from the urllib module\n",
    "from urllib.request import urlretrieve\n",
    "#also let's use a linux command to see the file size\n",
    "import os\n",
    "\n",
    "#plotting on a map requires cartopy\n",
    "# See Chapter 13\n",
    "import cartopy\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%pip list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# needed to handle dates. See Chapter 15\n",
    "from datetime import datetime,timezone\n",
    "#adding a new module Pandas. See Chapter 16\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "json is a file format that uses human-readable text to store and transmit data objects consisting of attribute-value pairs \n",
    "\n",
    "Think of it like having the ability to transmit many python values, lists, and dictionaries  where each value is defined in terms of an attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get the json module \n",
    "import json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will be accessing public data from a commercial site for which I need to disclose that I am involved with the company, Synoptic Data:\n",
    "\n",
    "- I am on the Board of Directors\n",
    "\n",
    "- I am a shareholder\n",
    "\n",
    "- I have a grant from that company to help with their customer support and research and development"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://api.synopticdata.com/v2/stations/precip?state=fl&start=202209271200&end=202210021200&pmode=totals&interval=day&token=bace3f05279d4de1bb2f03011843709e\n",
      "Saved ian_fl_ppt.json 733.522 KB\n"
     ]
    }
   ],
   "source": [
    "#define time range in UTC\n",
    "# 5 day period\n",
    "start_time = '202209271200'\n",
    "end_time =   '202210021200'\n",
    "#originally I was doing this by day, but that adds complications\n",
    "#url = \"https://api.synopticdata.com/v2/stations/precip?state=fl&start=\"+start_time+\"&end=\"+end_time+\"&pmode=intervals&interval=day&token=bace3f05279d4de1bb2f03011843709e\"\n",
    "#instead get the totals between the start and end time\n",
    "url = \"https://api.synopticdata.com/v2/stations/precip?state=fl&start=\"+start_time+\"&end=\"+end_time+\"&pmode=totals&interval=day&token=bace3f05279d4de1bb2f03011843709e\"\n",
    "print(url)\n",
    "\n",
    "# define the file to write the data into\n",
    "filename = \"ian_fl_ppt.json\"\n",
    "#let's try if we can get the file from the web\n",
    "try:\n",
    "    #get the file over the web\n",
    "    urlretrieve(url, filename)\n",
    "    print(\"Saved\", filename, os.path.getsize(filename)/1000., 'KB')\n",
    "except:\n",
    "    print(\"something wrong grabbing the file\")\n",
    "    print(\"but the program continues, so may be in error\")\n",
    "    \n",
    "#what's the file size?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# STOP\n",
    "\n",
    "Click on the file to the left with that name that has a \"dictionary\" type icon {:}\n",
    "\n",
    "Click on one right pointing arrow so it points down\n",
    "\n",
    "What do you see?\n",
    "\n",
    "Click on other ones\n",
    "\n",
    "Lots of info here! Check it out!\n",
    "\n",
    "Look carefully. How many indents to get to the total for the first station?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read the data by opening the file and reading all of it\n",
    "in_file = open('ian_fl_ppt.json').read()\n",
    "data = json.loads(in_file)\n",
    "#print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>STATUS</th>\n",
       "      <th>MNET_ID</th>\n",
       "      <th>ELEVATION</th>\n",
       "      <th>NAME</th>\n",
       "      <th>STID</th>\n",
       "      <th>ELEV_DEM</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>STATE</th>\n",
       "      <th>RESTRICTED</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>TIMEZONE</th>\n",
       "      <th>ID</th>\n",
       "      <th>PERIOD_OF_RECORD.start</th>\n",
       "      <th>PERIOD_OF_RECORD.end</th>\n",
       "      <th>UNITS.position</th>\n",
       "      <th>UNITS.elevation</th>\n",
       "      <th>OBSERVATIONS.precipitation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>SUMATRA</td>\n",
       "      <td>SURF1</td>\n",
       "      <td>26.2</td>\n",
       "      <td>-84.986110</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>30.020560</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>3436</td>\n",
       "      <td>2004-12-27T00:00:00Z</td>\n",
       "      <td>2022-10-20T16:48:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 120, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>OASIS</td>\n",
       "      <td>OASF1</td>\n",
       "      <td>16.4</td>\n",
       "      <td>-81.033</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>25.860389</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>3470</td>\n",
       "      <td>2001-06-26T00:00:00Z</td>\n",
       "      <td>2022-10-20T16:37:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 120, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Melbourne International Airport</td>\n",
       "      <td>KMLB</td>\n",
       "      <td>23</td>\n",
       "      <td>-80.63560</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>28.09973</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>4136</td>\n",
       "      <td>2002-08-12T00:00:00Z</td>\n",
       "      <td>2022-10-20T17:05:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 210, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>1</td>\n",
       "      <td>44</td>\n",
       "      <td>Perry-Foley Airport</td>\n",
       "      <td>KFPY</td>\n",
       "      <td>65.6</td>\n",
       "      <td>-83.58154</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>30.07081</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>4193</td>\n",
       "      <td>2002-08-14T00:00:00Z</td>\n",
       "      <td>2022-10-20T16:55:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 359, 'first_report': '2022-09-27T11...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>Apalachicola, Apalachicola</td>\n",
       "      <td>KAAF</td>\n",
       "      <td>13.1</td>\n",
       "      <td>-85.02472</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>29.72694</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>4239</td>\n",
       "      <td>2002-08-14T00:00:00Z</td>\n",
       "      <td>2022-10-20T17:05:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 120, 'first_report': '2022-09-27T11...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1343</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>249</td>\n",
       "      <td>26</td>\n",
       "      <td>Pine Crest School</td>\n",
       "      <td>2000W</td>\n",
       "      <td>None</td>\n",
       "      <td>-80.12401</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>26.20460</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178008</td>\n",
       "      <td>2022-09-13T16:10:00Z</td>\n",
       "      <td>2022-10-20T16:50:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 660, 'first_report': '2022-09-27T12...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1344</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>249</td>\n",
       "      <td>161</td>\n",
       "      <td>FSWN Emergency Response Unit</td>\n",
       "      <td>2003W</td>\n",
       "      <td>None</td>\n",
       "      <td>-84.21333</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>30.53596</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178009</td>\n",
       "      <td>2022-09-13T16:25:00Z</td>\n",
       "      <td>2022-10-20T13:50:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 18, 'first_report': '2022-09-27T12:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1345</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>65</td>\n",
       "      <td>6</td>\n",
       "      <td>N3FTU CLEARWATER BEACH</td>\n",
       "      <td>AV996</td>\n",
       "      <td>None</td>\n",
       "      <td>-82.82617</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>27.97200</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178036</td>\n",
       "      <td>2022-09-15T22:09:00Z</td>\n",
       "      <td>2022-10-20T17:09:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 1435, 'first_report': '2022-09-27T1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1346</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>65</td>\n",
       "      <td>72</td>\n",
       "      <td>GW2374 Big Bear Lake</td>\n",
       "      <td>G2374</td>\n",
       "      <td>None</td>\n",
       "      <td>-82.40000</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>28.20000</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178245</td>\n",
       "      <td>2022-09-28T03:20:00Z</td>\n",
       "      <td>2022-10-20T17:08:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 1150, 'first_report': '2022-09-28T0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1347</th>\n",
       "      <td>ACTIVE</td>\n",
       "      <td>65</td>\n",
       "      <td>121</td>\n",
       "      <td>GW2392 Windermere</td>\n",
       "      <td>G2392</td>\n",
       "      <td>118.1</td>\n",
       "      <td>-81.60117</td>\n",
       "      <td>FL</td>\n",
       "      <td>False</td>\n",
       "      <td>28.49633</td>\n",
       "      <td>America/New_York</td>\n",
       "      <td>178294</td>\n",
       "      <td>2022-09-30T20:09:00Z</td>\n",
       "      <td>2022-10-20T17:10:00Z</td>\n",
       "      <td>m</td>\n",
       "      <td>ft</td>\n",
       "      <td>[{'count': 483, 'first_report': '2022-09-30T19...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1348 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      STATUS MNET_ID ELEVATION                             NAME   STID  \\\n",
       "0     ACTIVE       2        27                          SUMATRA  SURF1   \n",
       "1     ACTIVE       2         8                            OASIS  OASF1   \n",
       "2     ACTIVE       1        20  Melbourne International Airport   KMLB   \n",
       "3     ACTIVE       1        44              Perry-Foley Airport   KFPY   \n",
       "4     ACTIVE       1        20       Apalachicola, Apalachicola   KAAF   \n",
       "...      ...     ...       ...                              ...    ...   \n",
       "1343  ACTIVE     249        26                Pine Crest School  2000W   \n",
       "1344  ACTIVE     249       161     FSWN Emergency Response Unit  2003W   \n",
       "1345  ACTIVE      65         6           N3FTU CLEARWATER BEACH  AV996   \n",
       "1346  ACTIVE      65        72             GW2374 Big Bear Lake  G2374   \n",
       "1347  ACTIVE      65       121                GW2392 Windermere  G2392   \n",
       "\n",
       "     ELEV_DEM   LONGITUDE STATE  RESTRICTED   LATITUDE          TIMEZONE  \\\n",
       "0        26.2  -84.986110    FL       False  30.020560  America/New_York   \n",
       "1        16.4     -81.033    FL       False  25.860389  America/New_York   \n",
       "2          23   -80.63560    FL       False   28.09973  America/New_York   \n",
       "3        65.6   -83.58154    FL       False   30.07081  America/New_York   \n",
       "4        13.1   -85.02472    FL       False   29.72694  America/New_York   \n",
       "...       ...         ...   ...         ...        ...               ...   \n",
       "1343     None   -80.12401    FL       False   26.20460  America/New_York   \n",
       "1344     None   -84.21333    FL       False   30.53596  America/New_York   \n",
       "1345     None   -82.82617    FL       False   27.97200  America/New_York   \n",
       "1346     None   -82.40000    FL       False   28.20000  America/New_York   \n",
       "1347    118.1   -81.60117    FL       False   28.49633  America/New_York   \n",
       "\n",
       "          ID PERIOD_OF_RECORD.start  PERIOD_OF_RECORD.end UNITS.position  \\\n",
       "0       3436   2004-12-27T00:00:00Z  2022-10-20T16:48:00Z              m   \n",
       "1       3470   2001-06-26T00:00:00Z  2022-10-20T16:37:00Z              m   \n",
       "2       4136   2002-08-12T00:00:00Z  2022-10-20T17:05:00Z              m   \n",
       "3       4193   2002-08-14T00:00:00Z  2022-10-20T16:55:00Z              m   \n",
       "4       4239   2002-08-14T00:00:00Z  2022-10-20T17:05:00Z              m   \n",
       "...      ...                    ...                   ...            ...   \n",
       "1343  178008   2022-09-13T16:10:00Z  2022-10-20T16:50:00Z              m   \n",
       "1344  178009   2022-09-13T16:25:00Z  2022-10-20T13:50:00Z              m   \n",
       "1345  178036   2022-09-15T22:09:00Z  2022-10-20T17:09:00Z              m   \n",
       "1346  178245   2022-09-28T03:20:00Z  2022-10-20T17:08:00Z              m   \n",
       "1347  178294   2022-09-30T20:09:00Z  2022-10-20T17:10:00Z              m   \n",
       "\n",
       "     UNITS.elevation                         OBSERVATIONS.precipitation  \n",
       "0                 ft  [{'count': 120, 'first_report': '2022-09-27T11...  \n",
       "1                 ft  [{'count': 120, 'first_report': '2022-09-27T11...  \n",
       "2                 ft  [{'count': 210, 'first_report': '2022-09-27T11...  \n",
       "3                 ft  [{'count': 359, 'first_report': '2022-09-27T11...  \n",
       "4                 ft  [{'count': 120, 'first_report': '2022-09-27T11...  \n",
       "...              ...                                                ...  \n",
       "1343              ft  [{'count': 660, 'first_report': '2022-09-27T12...  \n",
       "1344              ft  [{'count': 18, 'first_report': '2022-09-27T12:...  \n",
       "1345              ft  [{'count': 1435, 'first_report': '2022-09-27T1...  \n",
       "1346              ft  [{'count': 1150, 'first_report': '2022-09-28T0...  \n",
       "1347              ft  [{'count': 483, 'first_report': '2022-09-30T19...  \n",
       "\n",
       "[1348 rows x 17 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now lets try to make sense of all the info available by putting it into a pandas dataframe\n",
    "# the json_normalize function in Pandas flattens the json structure to make it easier to handle\n",
    "df_json = pd.json_normalize(data,record_path=['STATION'])\n",
    "#STOP! \n",
    "#look at all the columns. Note the rows are the stations\n",
    "df_json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 STATUS\n",
      "1 MNET_ID\n",
      "2 ELEVATION\n",
      "3 NAME\n",
      "4 STID\n",
      "5 ELEV_DEM\n",
      "6 LONGITUDE\n",
      "7 STATE\n",
      "8 RESTRICTED\n",
      "9 LATITUDE\n",
      "10 TIMEZONE\n",
      "11 ID\n",
      "12 PERIOD_OF_RECORD.start\n",
      "13 PERIOD_OF_RECORD.end\n",
      "14 UNITS.position\n",
      "15 UNITS.elevation\n",
      "16 OBSERVATIONS.precipitation\n"
     ]
    }
   ],
   "source": [
    "#print out all the columns\n",
    "for col in range(len(df_json.columns)):\n",
    "    print(col,df_json.columns[col])   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precip\n"
     ]
    }
   ],
   "source": [
    "#the column of main interest is #16 OBSERVATIONS.precipitation\n",
    "#ugly name let's change it\n",
    "df_json.rename(columns = {'OBSERVATIONS.precipitation':'precip'}, inplace = True)\n",
    "print(df_json.columns[16])   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "80.776\n",
      "[{'count': 164, 'first_report': '2022-09-27T11:53:00Z', 'total': 0.8, 'last_report': '2022-10-02T11:53:00Z', 'report_type': 'precip_accum_one_hour'}] <class 'list'>\n",
      "[{'count': 207, 'first_report': '2022-09-27T11:58:00Z', 'total': 68.751, 'last_report': '2022-10-02T11:53:00Z', 'report_type': 'precip_accum_one_hour'}] <class 'list'>\n"
     ]
    }
   ],
   "source": [
    "#create a pandas data frame wth ID, lat, lon, and total precipitation\n",
    "df_ppt = df_json[['STID','LATITUDE','LONGITUDE','precip']]\n",
    "df_ppt = df_ppt.set_index(['STID'])\n",
    "print(type(df_ppt['precip']))\n",
    "#how do we get to the 2nd stations total precip?\n",
    "print(df_ppt['precip'][1][0]['total'])\n",
    "#there are some nan's! a way to sort that out is to compare the type of object as done below\n",
    "\n",
    "#some debugging steps while figuring this out\n",
    "test=df_ppt['precip'][15]\n",
    "print(test,type(test))\n",
    "test1 = df_ppt['precip'][14]\n",
    "print(test1,type(test1))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1348\n"
     ]
    }
   ],
   "source": [
    "#how many stations\n",
    "\n",
    "no_stid = len(df_ppt.LATITUDE)\n",
    "#create numpy array with that size for precip values\n",
    "p = np.ones(no_stid) \n",
    "print(no_stid)\n",
    "\n",
    "#let's again simplify the dictionaries, switch from mm to cm  to get across the sense of iteration and handle nan's\n",
    "# nan's show up when there is not a list\n",
    "for no in range(0,no_stid):\n",
    "    #is it a list. that is good. no list? then set as nan\n",
    "    if isinstance(df_ppt['precip'][no],list):\n",
    "        # change to cm\n",
    "        pp = df_ppt['precip'][no][0]['total']/10.\n",
    "        df_ppt['precip'][no][0]['total'] = pp\n",
    "        # and for convenience  assign the precip to a numpy variable\n",
    "        p[no] = pp\n",
    "        #print(no,df_ppt.index[no],df_ppt.Latitude[no],df_ppt.Longitude[no],p[no])\n",
    "    else:\n",
    "        p[no] = np.nan\n",
    "        print('missing ppt',df_ppt.index[no])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SURF1</th>\n",
       "      <td>30.020560</td>\n",
       "      <td>-84.98611</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OASF1</th>\n",
       "      <td>25.860389</td>\n",
       "      <td>-81.03300</td>\n",
       "      <td>8.0776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KMLB</th>\n",
       "      <td>28.099730</td>\n",
       "      <td>-80.63560</td>\n",
       "      <td>10.8334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KFPY</th>\n",
       "      <td>30.070810</td>\n",
       "      <td>-83.58154</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KAAF</th>\n",
       "      <td>29.726940</td>\n",
       "      <td>-85.02472</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000W</th>\n",
       "      <td>26.204600</td>\n",
       "      <td>-80.12401</td>\n",
       "      <td>20.5994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003W</th>\n",
       "      <td>30.535960</td>\n",
       "      <td>-84.21333</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AV996</th>\n",
       "      <td>27.972000</td>\n",
       "      <td>-82.82617</td>\n",
       "      <td>0.6604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G2374</th>\n",
       "      <td>28.200000</td>\n",
       "      <td>-82.40000</td>\n",
       "      <td>5.6896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G2392</th>\n",
       "      <td>28.496330</td>\n",
       "      <td>-81.60117</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1348 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        LATITUDE  LONGITUDE   TOTALS\n",
       "STID                                \n",
       "SURF1  30.020560  -84.98611   0.0000\n",
       "OASF1  25.860389  -81.03300   8.0776\n",
       "KMLB   28.099730  -80.63560  10.8334\n",
       "KFPY   30.070810  -83.58154   0.0000\n",
       "KAAF   29.726940  -85.02472   0.0000\n",
       "...          ...        ...      ...\n",
       "2000W  26.204600  -80.12401  20.5994\n",
       "2003W  30.535960  -84.21333   0.0000\n",
       "AV996  27.972000  -82.82617   0.6604\n",
       "G2374  28.200000  -82.40000   5.6896\n",
       "G2392  28.496330  -81.60117   0.0000\n",
       "\n",
       "[1348 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#now let's clean this up \n",
    "#put the values into the dataframe\n",
    "df_ppt['TOTALS'] = p.tolist()\n",
    "#remove the precip column that is really ugly to deal with\n",
    "df_ppt.drop(columns=['precip'],inplace=True)\n",
    "#they are a string unless they are defined as floats\n",
    "df_ppt.LONGITUDE = df_ppt.LONGITUDE.astype('float64')\n",
    "df_ppt.LATITUDE = df_ppt.LATITUDE.astype('float64')\n",
    "df_ppt.TOTALS = df_ppt.TOTALS.astype('float64')\n",
    "df_ppt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0369W</th>\n",
       "      <td>26.46131</td>\n",
       "      <td>-81.77957</td>\n",
       "      <td>985.7770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0834W</th>\n",
       "      <td>29.12042</td>\n",
       "      <td>-80.95339</td>\n",
       "      <td>895.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSSBU</th>\n",
       "      <td>26.09212</td>\n",
       "      <td>-80.10982</td>\n",
       "      <td>304.4160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866W</th>\n",
       "      <td>29.26585</td>\n",
       "      <td>-81.22758</td>\n",
       "      <td>90.0434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334W</th>\n",
       "      <td>29.57435</td>\n",
       "      <td>-81.18766</td>\n",
       "      <td>82.9570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSLYQ</th>\n",
       "      <td>28.35534</td>\n",
       "      <td>-81.44246</td>\n",
       "      <td>24.8666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E9392</th>\n",
       "      <td>29.18833</td>\n",
       "      <td>-81.07317</td>\n",
       "      <td>24.7908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0323W</th>\n",
       "      <td>25.71442</td>\n",
       "      <td>-80.28235</td>\n",
       "      <td>24.5360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G1444</th>\n",
       "      <td>26.49833</td>\n",
       "      <td>-82.08867</td>\n",
       "      <td>24.4856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1355W</th>\n",
       "      <td>26.23780</td>\n",
       "      <td>-80.23769</td>\n",
       "      <td>24.3332</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       LATITUDE  LONGITUDE    TOTALS\n",
       "STID                                \n",
       "0369W  26.46131  -81.77957  985.7770\n",
       "0834W  29.12042  -80.95339  895.9338\n",
       "SSSBU  26.09212  -80.10982  304.4160\n",
       "1866W  29.26585  -81.22758   90.0434\n",
       "1334W  29.57435  -81.18766   82.9570\n",
       "...         ...        ...       ...\n",
       "SSLYQ  28.35534  -81.44246   24.8666\n",
       "E9392  29.18833  -81.07317   24.7908\n",
       "0323W  25.71442  -80.28235   24.5360\n",
       "G1444  26.49833  -82.08867   24.4856\n",
       "1355W  26.23780  -80.23769   24.3332\n",
       "\n",
       "[100 rows x 3 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sort the rows by the TOTALS values\n",
    "ppt_sorted=df_ppt.sort_values(by=['TOTALS'],ascending=False)\n",
    "ppt_sorted[0:100]\n",
    "#are those super large realistic?\n",
    "# 30 inches is a lot of water ~75 cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0369W</th>\n",
       "      <td>26.46131</td>\n",
       "      <td>-81.77957</td>\n",
       "      <td>985.7770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0834W</th>\n",
       "      <td>29.12042</td>\n",
       "      <td>-80.95339</td>\n",
       "      <td>895.9338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334W</th>\n",
       "      <td>29.57435</td>\n",
       "      <td>-81.18766</td>\n",
       "      <td>82.9570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1342W</th>\n",
       "      <td>28.62773</td>\n",
       "      <td>-81.40158</td>\n",
       "      <td>76.1740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SSSBU</th>\n",
       "      <td>26.09212</td>\n",
       "      <td>-80.10982</td>\n",
       "      <td>304.4160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1866W</th>\n",
       "      <td>29.26585</td>\n",
       "      <td>-81.22758</td>\n",
       "      <td>90.0434</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       LATITUDE  LONGITUDE    TOTALS\n",
       "STID                                \n",
       "0369W  26.46131  -81.77957  985.7770\n",
       "0834W  29.12042  -80.95339  895.9338\n",
       "1334W  29.57435  -81.18766   82.9570\n",
       "1342W  28.62773  -81.40158   76.1740\n",
       "SSSBU  26.09212  -80.10982  304.4160\n",
       "1866W  29.26585  -81.22758   90.0434"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#let's put those in their own dataframe\n",
    "# and remove them from the main dataframe for now and figure out what's haywire later\n",
    "df_ppt_big = df_ppt[df_ppt['TOTALS'] > 75.]\n",
    "df_ppt_big"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\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>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>TOTALS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0335W</th>\n",
       "      <td>27.22227</td>\n",
       "      <td>-81.86353</td>\n",
       "      <td>-0.4064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0368W</th>\n",
       "      <td>26.42380</td>\n",
       "      <td>-81.42700</td>\n",
       "      <td>-1.7264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0370W</th>\n",
       "      <td>27.00014</td>\n",
       "      <td>-82.07607</td>\n",
       "      <td>-6.6548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0465W</th>\n",
       "      <td>25.74262</td>\n",
       "      <td>-80.34718</td>\n",
       "      <td>-1.0160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0511W</th>\n",
       "      <td>27.77185</td>\n",
       "      <td>-82.63815</td>\n",
       "      <td>-44.6786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0525W</th>\n",
       "      <td>28.10286</td>\n",
       "      <td>-81.62503</td>\n",
       "      <td>-1.8800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       LATITUDE  LONGITUDE   TOTALS\n",
       "STID                               \n",
       "0335W  27.22227  -81.86353  -0.4064\n",
       "0368W  26.42380  -81.42700  -1.7264\n",
       "0370W  27.00014  -82.07607  -6.6548\n",
       "0465W  25.74262  -80.34718  -1.0160\n",
       "0511W  27.77185  -82.63815 -44.6786\n",
       "0525W  28.10286  -81.62503  -1.8800"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#negative precipitation totals?\n",
    "#that means calculating the totals over multiple days can be messed up\n",
    "#let's remove those for now and figure out what's haywire later\n",
    "df_ppt_neg = df_ppt[df_ppt['TOTALS'] < 0.]\n",
    "df_ppt_neg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's remove those rows for too big and negative values\n",
    "# first find which indices are associated with those conditions\n",
    "# then drop and use the inplace=True to keep in the same dataframe\n",
    "df_ppt.drop((df_ppt.loc[df_ppt['TOTALS']<0.].index), inplace=True)\n",
    "df_ppt.drop((df_ppt.loc[df_ppt['TOTALS']>75.].index), inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          LATITUDE    LONGITUDE       TOTALS\n",
      "count  1336.000000  1336.000000  1336.000000\n",
      "mean     28.368475   -82.292363     7.840365\n",
      "std       1.694633     1.878818    10.357789\n",
      "min       9.004970   -87.500500     0.000000\n",
      "5%       25.787155   -86.563060     0.000000\n",
      "10%      26.147575   -85.447180     0.000000\n",
      "25%      27.195320   -82.779832     0.000000\n",
      "33%      27.671501   -82.559222     0.217170\n",
      "50%      28.195995   -81.896085     4.762500\n",
      "66%      29.324017   -81.315432     8.966200\n",
      "75%      30.035372   -80.899933    10.947500\n",
      "90%      30.486155   -80.265525    20.104100\n",
      "95%      30.654455   -80.160800    28.303275\n",
      "max      30.974020   -79.589440    73.685600\n"
     ]
    }
   ],
   "source": [
    "# get some of the basic stats to check\n",
    "basic_vals = df_ppt.describe(percentiles=[.05,.10,.25,.33,.50,.66,.75,.90,.95])\n",
    "print(basic_vals)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a8af05cf2cbe42dc8d3a76663cadaa15",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=1000.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the cumulative histogram for precipitation in Florida\n",
    "fig1,ax = plt.subplots(1,1,figsize=(10,5))\n",
    "# Hide the Figure name at the top of the figure\n",
    "fig1.canvas.header_visible = False\n",
    "# Always showthe toolbar\n",
    "fig1.canvas.toolbar_visible = True\n",
    "#using the numpy array p defined earlier\n",
    "n_bins = len(p)\n",
    "n, bins, patches = ax.hist(p, n_bins, density='True', histtype='step',\n",
    "                           cumulative=True, label='Empirical')\n",
    "ax.set(xlabel=\"Precipitation (cm)\",ylabel='Cumulative Empirical Probability')\n",
    "ax.set(xlim=(0,42.))\n",
    "ax.set_xticks(np.arange(0,42.,step=2))\n",
    "ax.set_yticks(np.arange(0, 1.1, step=0.10))\n",
    "ax.grid(linestyle='--', color='grey', linewidth=.2)\n",
    "ax.set(title=\"Florida Precipitation (cm)\")\n",
    "plt.savefig('fl_ppt.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        LATITUDE  LONGITUDE   TOTALS\n",
      "STID                                \n",
      "KDAB   29.173540 -81.071860  34.9952\n",
      "KMCO   28.418260 -81.324130  33.5320\n",
      "KSFB   28.783330 -81.250000  40.8988\n",
      "KTTS   28.616670 -80.700000  28.5537\n",
      "MRFF1  28.640833 -80.730833  31.2170\n",
      "...          ...        ...      ...\n",
      "1980W  26.462070 -80.078610  26.2890\n",
      "PNAFL  28.080900 -81.411400  26.1366\n",
      "1991W  28.181830 -82.159180  26.8478\n",
      "1993W  26.703140 -80.035940  23.5204\n",
      "2000W  26.204600 -80.124010  20.5994\n",
      "\n",
      "[138 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "395a11e3e8694144abe604715229e3ab",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=500.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig2 = plt.figure(figsize=(5,10))\n",
    "# Hide the Figure name at the top of the figure\n",
    "fig2.canvas.header_visible = False\n",
    "# Always showthe toolbar\n",
    "fig2.canvas.toolbar_visible = True\n",
    "#define that the most basic projection: cylindricl equidistant: equal in lat and lon\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "#what part of the globe?\n",
    "ax.set_extent([-85., -78., 23.5, 32.], ccrs.PlateCarree())\n",
    "#dd state outlines\n",
    "states = cartopy.feature.NaturalEarthFeature(\n",
    "                    category='cultural', scale='50m', facecolor='none',\n",
    "                    name='admin_1_states_provinces')\n",
    "ax.add_feature(states,zorder=2,edgecolor='darkslategrey',linewidth=0.8,alpha = 0.5)\n",
    "\n",
    "# get locations as numpy arrays for plotting\n",
    "x = df_ppt.LONGITUDE.to_numpy()\n",
    "y = df_ppt.LATITUDE.to_numpy()\n",
    "\n",
    "#plot all locations with a black dot\n",
    "plt.scatter(x,y,zorder=2,s=5,c=\"grey\")\n",
    "\n",
    "#plot places with more than 20 cm as a larger green dot\n",
    "#which locations have more than 20 cm?\n",
    "p_gt_20 = df_ppt[df_ppt['TOTALS'] >= 20.]\n",
    "print(p_gt_20)\n",
    "x_g20 = p_gt_20.LONGITUDE.to_numpy()\n",
    "y_g20 = p_gt_20.LATITUDE.to_numpy()\n",
    "plt.scatter(x_g20,y_g20,zorder=10,s=20,c=\"green\")\n",
    "\n",
    "#wrap up\n",
    "ax.set_title('Florida Rainfall totals (cm) %s : %s UTC' % (start_time, end_time), fontsize=12)\n",
    "plt.savefig('florida_rainfall_totals.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        LATITUDE  LONGITUDE  TOTALS\n",
      "STID                               \n",
      "SURF1  30.020560 -84.986110     0.0\n",
      "KFPY   30.070810 -83.581540     0.0\n",
      "KAAF   29.726940 -85.024720     0.0\n",
      "KCEW   30.772220 -86.520000     0.0\n",
      "KCTY   29.633326 -83.105458     0.0\n",
      "...          ...        ...     ...\n",
      "1950W  29.636110 -83.126900     0.0\n",
      "G2219  27.758670 -82.725500     0.0\n",
      "SSEUH  28.759110 -81.523410     0.0\n",
      "2003W  30.535960 -84.213330     0.0\n",
      "G2392  28.496330 -81.601170     0.0\n",
      "\n",
      "[392 rows x 3 columns]\n",
      "0 0369W 985.777 986 -81.77957 26.46131\n",
      "1 0834W 895.9338 896 -80.95339 29.12042\n",
      "2 1334W 82.95700000000001 83 -81.18766 29.57435\n",
      "3 1342W 76.174 76 -81.40158 28.62773\n",
      "4 SSSBU 304.416 304 -80.10982 26.09212\n",
      "5 1866W 90.04339999999999 90 -81.22758 29.26585\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8dd66f11c9874e568b0d89ec6b018b38",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
      "text/html": [
       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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Wq1Gr/73e8wZMgQBAYGQqlUYsyYMfjuu+/M3m/a5J6TkwOZTIZVq1bhj3/8IyIiIhAQEIApU6bg1KlTovf96U9/AgCEhYWJfr9ffvklpk2bhj59+sDb29vQTNTQ0OD0dZqW+dixY8jNzTU0XcbFxRlet/V7LisrQ69evQAAf/vb3wzH0N+H4uJi3H///UhKSoKPjw8iIyMxZ84cHDlyxGbZnP1ct7S04KOPPsLChQshl4t7s5qbm/Hiiy9iwIABUCgUCAkJwcSJE7Fr1y7DPjKZDE888QQ++eQT9OvXD97e3hgxYgTy8/MhCALeeOMN9O3bF35+fpg0aRKKi4vNypCdnY3NmzfjzJkzVsvq6+sLX19fs+3p6ekAgMrKSsO2b7/9FoIg4P777xfte//996OpqQnr1683bOvdu7fZMYcPHw43NzfRMYODg+Hh4WHx/GfPnjVs++abb+Dn54ef/exnZuc/f/489uzZAwDIz89HW1sbZs2aJdpv9uzZAIA1a9YYtoWGhko2h6enp6OxsREqlcrsNWMfffQR/Pz88POf/1y03fT3bonUfXJzc8Pw4cNF9wnQXf+kSZMQGxtr2BYQEIB58+bhhx9+gEajAaC7/gsXLpj9nn72s5/Bz88P33zzjV1ls4cj9++bb75Bv379MGbMGMM2d3d33HPPPdi7dy/OnTsHwLHPpCP3z97fiSP3z97PpJubG0JCQuy6JkfKKnX9ERERcH/99ddx6NAh/PTTT3YdyFh2djYOHDiAl19+GcnJyaitrcWBAwdQXV1t1/vb2toMH0Y9d3d3i/tfuXIFY8eORUtLC/7+978jLi4OP/74I55++mmcOXMG7733nmj/t99+G8nJyXjzzTcREBCApKQkyeNu2bIFd9xxB8aMGYMvvvgCbW1teP3110UBVu/MmTNYuHAh+vbtC09PTxQWFuLll1/GyZMn8fHHH9t13aZKS0sBAMnJyYZtzc3NUKlUePrppxEZGYmWlhZs3rwZ8+bNwyeffILFixfbPO7zzz+PcePG4cMPP0R9fT1+//vfY86cOThx4gTc3NzwzTff4N1338VHH32E9evXIzAwEFFRUQCA06dPY9asWfjNb34DX19fnDx5Eq+99hr27t1rsZ/PEd988w3mz5+PwMBAw+/Ny8sLgH2/5z59+mD9+vWYMWMGfvnLX+LBBx8EAEOQP3/+PEJCQvDqq6+iV69eUKlUWLZsGUaNGoWDBw+iX79+Fsvm7Od6z549qK6uxsSJE0XbNRoNZs6ciby8PPzmN7/BpEmToNFokJ+fj4qKCowdO9aw748//oiDBw/i1VdfhUwmw+9//3vcdtttuPfee1FSUoJ///vfqKurw29/+1vcddddOHTokOiLNSsrC4IgYO3atXjyyScd+I3o6H+3gwYNMmw7evQoevXqhfDwcNG+qamphtetyc3NRVtbm+iY1s7v7u4u+ls4evQoBgwYYPbdYHx+/ecFuP450tP3ZR8+fNjm+bdt24ZevXpJfmHqnT59Gnl5eXjwwQfh5+dn85j20mg0yMvLE92npqYmnDlzBnfeeafZ/qmpqWhqakJJSQmSk5MNvwf9fdHz8PBA//79bf6eAN3nJzc3F4IgOHUNUvfv6NGjyMjIkCw/oOvjjoyMtHhMqc+kFKn75whH7p+9n0lL7L0mR5SUlACvvfaaAEDYuHGjIAjWmyBh0rzp5+cn/OY3v5FsErBG3/Qs9a+1tdWwn2mT+3PPPScAEPbs2SM63mOPPSbIZDLh1KlTomtISEgwa9aTur5Ro0YJERERQlNTk2FbfX29oFQqrTa5t7W1Ca2trcJnn30muLm52ewD1193fn6+0NraKly9elVYv369EB4eLkyYMEF07aY0Go3Q2toq/PKXvxSGDh0qes30Pm3btk0AIMyaNUu03//+9z8BgLB7927DNn2T+ZUrVyyeW6vVCq2trUJubq4AQCgsLDR7v7GONrnb+3t2pMldo9EILS0tQlJSkvDUU08Ztkt9Hpz9XOv/loz7igVBED777DMBgLB06VKr7wcghIeHi5od9WMchgwZImriXLJkiQBAOHz4sNlxIiMjhZ///OcOl7+wsFDw9vYW7rzzTtH2qVOnCv369ZN8j6enp/Dwww9bPGZ9fb0wYMAAITo6Wrh69arV82/YsEGQy+Wi348gCEJSUpIwffp0s/3Pnz8vADB0BRw6dMisaV8QBGHLli0CAMHT09Pq+ZcuXSoAEN566y2r+/3+9783+zuSYq3JXcof//hHAYDw7bffGradO3dOACD84x//MNtf35Wgb8p++eWXBQDChQsXzPadNm2akJycbLMMkyZNEtzc3OwuszFL98/Dw0N45JFHzPbftWuXZLO1MUufSSlS98+UtSZ3R+6fvZ9JKWfPnhXCwsKEESNGWO2ac6RLsrW1VcjKyhLk+iZK0xGH9khPT8enn36Kl156Cfn5+Q43O3/22WcoKCgQ/bNWQ9+6dSsGDhxoaK7Qu++++yAIglnN8fbbb5ds1jPW0NCAgoICzJs3DwqFwrDd398fc+bMMdv/4MGDuP322xESEgI3Nzd4eHhg8eLFaGtrQ1FRkT2XjdGjR8PDwwP+/v6YMWMGgoOD8d1335ld+1dffYVx48bBz88P7u7u8PDwwEcffYQTJ07YdZ7bb79d9LP+6bG8vNzme0tKSrBw4UKEh4cbrjMzMxMA7D6/sxz9PUvRaDR45ZVXMHDgQHh6esLd3R2enp44ffq0zfI7+7k+f/48ZDIZQkNDRdvXrVsHhUKBBx54wOYxJk6cKGp2HDBgAABg5syZopq4frvU77J3796GZkx7lZWVYfbs2YiOjsaHH35o9rq12R6WXlOr1Zg3bx7Ky8vx1VdfWa3NHjhwAHfffTdGjx6Nf/zjH06dPy0tDRMmTMAbb7yBr776CrW1tdi1axceffRRuLm5WW3OXLduHR5//HHMnz/fasuGRqPBsmXLMGjQIIwePdrifo768MMP8fLLL+N3v/sd7rjjDrPXHbn/lva1Z8bOli1bzFpN7WHr/jnz+bH1mTRm6/45wt7758w1qVQqzJo1C4Ig4Msvv7S7id0aQRDwy1/+Enl5eZD37t0b7u7udjeTG/vyyy9x77334sMPP8SYMWOgVCqxePFi0TQOawYMGIARI0aI/llTXV2NPn36mG2PiIgwvG5Mal9TNTU10Gq1Zs2JAMy2VVRUICMjA+fOncNbb72FvLw8FBQU4N133wWgax6zh/5BZuvWrXjkkUdw4sQJLFiwQLTP119/jbvvvhuRkZFYsWIFdu/ejYKCAjzwwAOS04qkmPbd6JsibZXz2rVryMjIwJ49e/DSSy8hJycHBQUF+Prrrx26Tmc5+nuW8tvf/hZ//vOfMXfuXPzwww/Ys2cPCgoKkJaWZrP8zn6um5qa4OHhATc3N9H2K1euICIiwq4/XqVSKfrZ09PT6napz4JCoXDod1ReXo6JEyfC3d0dW7ZsMTtXSEiI5D1vaGhAS0uL2f6ArsvozjvvxI4dO/D9999j1KhRFs9/8OBBTJ06FUlJSVi7dq1Zk7ml8+v7aY3Pr38IvvvuuxEcHIyJEydi3rx5GDJkiMVm3Q0bNmDevHmYOnUqVq5cafWLeu3atbh48aKhi6czfPLJJ3jkkUfw8MMP44033hC9FhwcDJlMZtf16//eLe0r9XvqDLbunyO/Pz1bn0lj1u6fIxy5f85cU01NDaZOnYpz585h06ZNiI+Pd7qseoIg4MEHH8SKFSvw6aefwv3y5cvQaDSGWoW+lmo8UA6QvsjQ0FAsWbIES5YsQUVFBb7//ns899xzuHz5smigTGcJCQkxm88K6GpG+vIYs+eJVP8HI/Vlbbrt22+/RUNDA77++mvRAJVDhw7ZU3wD/YMMoKuRtbW14cMPP8Tq1asxf/58AMCKFSvQt29ffPnll6LrMP29dIWtW7fi/PnzyMnJMdTKAUjOm+wKjv6epaxYsQKLFy/GK6+8ItpeVVVlc669s5/r0NBQtLS0oKGhQVTL7tWrF3bs2AGtVtspT+S2qFQq0QBDa8rLyw397jk5OYYxFMZSUlLwxRdf4OLFi6KHXP0Aw8GDB4v2b25uxty5c7Ft2zZ89913mDx5ssXzHzx4EFOmTEFsbCw2btyIwMBAyfOvWrUKGo1G1Ioldf7evXtj7dq1uHz5Mi5evIjY2Fh4e3vjvffeM/xtGduwYQPmzp2LzMxMrFmzxvCgZMlHH30ET09PZGdnW93PXp988gkefPBB3Hvvvfjvf/9r9p2ln8svNZjzyJEj8Pb2NgSGlJQUw/aBAwca9tNoNDh58qRZpaEz2HP/UlJSLJYfMP/82POZ1LN1/xzhyP1z5DMJ6IL5lClTUFpaii1btpj10ztDH8w/+eQTfPTRR7jnnnsg/+yzzwDA8EcXFhYGhUJhNoBEanS1sZiYGDzxxBNWEx501OTJk3H8+HGz43/22WeQyWRmg5Hs4evri/T0dHz99dei2s7Vq1fxww8/iPbVf1iMaxCCIGDp0qUOn9fY66+/juDgYPzlL38xjOKWyWTw9PQUfUAvXrxo8/fQGaSuEwDef//9Tj2Pl5eXZE3S3t+ztRYHmUxmVv6ffvrJ4aZoRz7X/fv3BwCzEeYzZ86EWq3u1OQ1lmg0GlRWVoq+kCypqKhAVlYW2trasHXrVtFDqrE77rgDMpkMy5YtE23/9NNP4e3tjRkzZhi26WvmW7duxZo1azB9+nSL5z906BCmTJmCqKgobNq0CcHBwZL73Xnnnbh27ZpolDoALFu2DBEREZK1/969eyM1NRWBgYH473//i4aGBjzxxBOifTZu3Ii5c+di/Pjx+Pbbb80+L6YuXryItWvXYu7cuZIjlx316aef4sEHH8Q999yDDz/80GIw0t9P4xHRV69exddff43bb7/dEFBGjRqFPn36mH3OVq9ejWvXrmHevHkdLrMxe+/fnXfeiZMnTxpGfgO6z+mKFSswatQoQ8sbYP9nErD//tnLkfvnyGdSH8xLSkqwceNGDB06tEPlBHRx56GHHsInn3yC999/3zAy3/3555/HrFmzMGXKFAC6L8J77rkHH3/8MRISEpCWloa9e/fi888/Fx2wrq4OEydOxMKFC9G/f3/4+/ujoKAA69ev7/QPjt5TTz2Fzz77DLfddhtefPFFxMbG4qeffsJ7772Hxx57TDQy1hF///vfMWPGDEydOhW/+93v0NbWhtdeew2+vr6i6RdTp06Fp6cnFixYgGeffRZqtRr/+c9/zLJQOSo4OBh/+MMf8Oyzz+Lzzz/HPffcg9mzZ+Prr7/Gr371K8yfPx+VlZX4+9//jj59+nQoq5w9xo4di+DgYDz66KN44YUX4OHhgZUrV6KwsLBTz6Ov+X355ZeIj4+HQqFASkqK3b9nf39/xMbGGmqBSqUSoaGhiIuLw+zZs/Hpp5+if//+SE1Nxf79+/HGG29YfdoHOva51md1ys/PFz2BL1iwAJ988gkeffRRnDp1ChMnToRWq8WePXswYMAA/OIXv+jYjTRy+PBhNDY22ny4vXz5MiZOnIgLFy7go48+wuXLl3H58mXD61FRUYZ7NWjQIPzyl7/ECy+8ADc3N4wcORIbN27EBx98gJdeeknUvDh//nysW7cOf/zjHxESEoL8/HzDawEBAYYHjVOnThm+c15++WWcPn1a9LlOSEgwzFiYOXMmpk6disceewz19fVITEzEqlWrsH79eqxYsULUxaF/uE5ISEBtbS3WrVuHjz76CK+88gqGDRtm2G/Hjh2YO3cuwsPD8fzzz5u1sg0cOBABAQGibcuWLYNGo7Ha3F5eXo6CggIA1x/s9NnT4uLiDC1zX331FX75y19iyJAheOSRR7B3717RcYYOHWoIkE8//TSWL19u+Hvw8vLCq6++CrVaLZpG7Obmhtdffx3Z2dl45JFHsGDBApw+fRrPPvsspk6dKnrwsmTy5MnIzc212Y/uyP174IEH8O677+JnP/sZXn31VfTu3RvvvfceTp06JZoK6shn0pH719jYiLVr1wKA4fOYm5uLqqoq+Pr6YubMmQ7fP3s/k01NTZg+fToOHjyIJUuWGGa36PXq1QsJCQmGn/ft24eysjIAusx5giAYPj8jR440POD8+te/xkcffYQHHngAKSkp14/5hz/8wSyJQl1dnfDggw8KYWFhgq+vrzBnzhyhrKxMNKJYrVYLjz76qJCamioEBAQI3t7eQr9+/YQXXnhBaGhosDoiryOJZcrLy4WFCxcKISEhgoeHh9CvXz/hjTfeEI0W1I9cfuONN8yOaWkU//fffy+kpqYKnp6eQkxMjPDqq69KjuD+4YcfhLS0NEGhUAiRkZHCM888I6xbt85q9iF7rrupqUmIiYkRkpKSDEkJXn31VSEuLk7w8vISBgwYICxdulSyTJZGuZtmK5O6dkuj3Hft2iWMGTNG8PHxEXr16iU8+OCDwoEDByy+35i9o9zLysqEadOmCf7+/gIAITY21vCaPb9nQRCEzZs3C0OHDhW8vLwEAIb7UFNTI/zyl78UevfuLfj4+Ajjx48X8vLyzMpmek868rkWBEHIyMgwm10gCLrf71/+8hchKSlJ8PT0FEJCQoRJkyaJkm0AEB5//HHR+yx9li39jv/85z8LoaGhNhOj6N9v6Z/pzIGWlhbhhRdeEGJiYgRPT08hOTlZePvtt82Oa+2Yxvfd2kwXqb/Pq1evCr/+9a+F8PBwwdPTU0hNTRVWrVpldv73339fGDBggODj4yP4+fkJGRkZkqOe9Z9bS/+k/paTk5OFuLg4yYQq9lyX8d+oPquapX+lpaWi4xYXFwtz584VAgICBB8fH2Hy5MnC/v37Jcvw+eefG77LwsPDhV//+tc2ZxjoZWZm2jUy39H7d/HiRWHx4sWCUqkUFAqFMHr0aGHTpk2ifRz5TDpy//R/Q1L/jL9zHL1/9nwmrZ3b9DNh67qM/yZiY2Ml95EJgpMTDonIzJo1a/Dzn/8c5eXlVufWdoW2tjYkJiZi4cKFePnll2/ouYmo+3G1NaJONG/ePIwcOVJy6lVXW7FiBa5du4Znnnnmhp+biLofAzpRJ5LJZFi6dCkiIiJu+GprWq0WK1eudHjFPCJyDWxyJyIicgGsoRMREbkABnQiIiIXwIBORETkAhjQiYiIXIDlpc16ALVabVhDmYiIeiZPT0/Rapu3qh4b0NVqNfr27Wv3ynBEROSawsPDUVpaessH9R4b0FtaWnDx4kVUVlaa5Wwmoq4nCAI27twJP29vjBs+vLuLQz1UfX09oqOj0dLSwoB+qwsICGBAJ7rBrjY04MipU7imVmPO5MlQ2FjpjIhs6/EBnYhuDEEQcOHKFRwpKkL5uXOIjYzE7KwsBnOiTsKATkRdStPWhuLychw9fRr1166hf3w8fnHbbQjw8+vuohG5FAZ0IupUVxsasP/YMZRUVsLdzQ2atjb4eHsjJTkZybGx8PDw6O4iErkkBnQi6lQbduyAh7s7bsvMBGQyAEBvpRKy9v8noq7BgE5EnSohOhrl588jLDS0u4tC1KMwUxwRdapBSUmoqa9H4cmT3V0Uoh6FAZ2IOpWnhwdmZWbiwPHjKDhypLuLQ9RjMKATUacLCwnBxFGjUFRW1t1FIeoxGNCJqEucv3wZPrd45i2iWwkDOhF1qlaNBgeOHUNRWRmyRo3q7uIQ9Rgc5U5EHVZUVoai0lLUXL2Kaw0N8PH2xm2ZmQhmWmWiG4YBnYg6pLiiAtsLCjAqLQ1DAwMRHBAAb4WC886JbjAGdCJy2oUrV7Btzx5MGzsWsZGR3V0coh6NfehE5LQLly8jondvBnOimwADOhE5LSYiAhcuX0arRtPdRSHq8RjQichpIUFBCAkKwqadO6Fpa+vu4hD1aAzoROQ0mUyGWZmZuKxS4cLly91dHKIejQGdiDrE08MDbe1LpBJR9+EodyJyiiAIKD17FvuPHYOnpycCfH27u0hEPRoDOhE5rPTsWRQcOQJ1czOGDhyI/vHx8HDn1wlRd+JfIBE55FJ1NTbv3o3RaWkYkJAAdze37i4SEYF96ETkoIPHj2NAfDxSkpPR2NQEVW1tdxeJiMAaOhE5qFWjwbHiYpy9dAn1V69CJpOhX3w8JowY0d1FI+rRGNCJyCFzJk7EtcZGXKquho9CgbW5uYjp06e7i0XU4zGgE5HD/Hx84O3lhW82b0a/vn0Rx9SvRN2OfehE5DBBELDr4EEAwOghQ7q3MEQEgAGdiByk1WqRt28fys6fx9SxYznKnegmwSZ3IrKbIAjYtmcPrqhUmDt5MvyZTIbopsEaOhHZrfz8eVRcuIA7GMyJbjoM6ERkl7a2Nuw6eBDpqanwVii6uzhEZIIBnYjscuT0abi7uWFAfHx3F4WIJLAPnYjMaLVa1NTX44pKhcvV1bisUkFVW4tZmZmQy1kPILoZMaATkZmcvXtxprISvZRK9FYqMaR/f/QOCUGAn193F42ILGBAJyIzXp6eCPL3x+CkJMRFRnJqGtEtgG1nRGRm+KBBSIiOxt7Dh7H8u+9w7tKl7i4SEdnAgE5EZhReXhg2aBAW3HYb0lNTsXHnTtRdvdrdxSIiKxjQicgimUyGQYmJSI6Lw/q8PLS0tnZ3kYjIAgZ0IrIpPTUVjWo1TpWWdndRiMgCBnQiskoQBOzYvx/+vr7ozznoRDctBnQisurwqVOovHABMzIy4OHOiTFENysGdCKCVqvFseJiNLe0iLaXnz+PgiNHMD0jA34+Pt1UOiKyBx+3iQiXq6uxvaAAB48fx8iUFIQEBUEQBGzetQuZI0ciLCSku4tIRDYwoBMRzl2+jPjoaET07o1jxcWoqatDS2srRgwejKS4uO4uHhHZgQGdiHD+8mX0jYrC4KQkpCQnQxAENLe0QOHl1d1FIyI7sQ+dqIfTtLXh4pUriAwLM2yTyWQM5kS3GAZ0oh5O0GqhaWuDl4dHdxeFiDqAAZ2oh/Pw8ECgvz+qa2u7uyhE1AEM6EQED3d3NDOtK9EtjQGdqIdrbW2Fqq6OU9OIbnEM6EQ93KXqavh4e8Pf17e7i0JEHcCATtTDXayqQnhoaHcXg4g6iAGdqIe7cOUKAzqRC2BAJ+rBmltacOHyZcT06dPdRSGiDmJAJ+rBKi9eRKC/PwL9/VFTX48ft21DbX19dxeLiJzQ41O/1tTXIyAgoLuLQdQtys6eRVxkJMrPncOmXbvQqtF0d5GIyEk9vob+47Zt3V0Eom7R1taGigsX0Cs4GFvy85Harx/c3d0R4OfX3UUjIif0+IC+79gxqJghi3qg85cvQy6X49iZM+gbFYXggACEBAVBLu/xXwtEt6Qe/5cbFRaG77Zu7e5iEN1wh06eRJC/P2rr6zF26FBU19UhJDCwu4tFRE7q8QF91oQJ2FNYiNqrV7u7KEQ3zIUrV3C5uhpRYWHoHRICL09PVNfUQBkU1N1FIyIn9fiAPigpCRFhYfiBtXTqQapraxHeqxcUCgW0Wq1hW2hwcDeXjIic1eMDOgDMzszE7kOHUH/tWncXheiG8PTwQKtGA7lMBq1Wiya1Gg1NTQhhDZ3olsWADmDIgAEIDQ7G2tzc7i4KEQCg/to1bN29Gz/m5OBMRYWhFt1ZvDw80NLSArlcjjatFtW1tQjw84Mn10QnumX1+HnoACCXyzErMxPLv/sOt0+cCB8fn+4uEvVg5y5dwpsffwxPDw/4eHvjh23b4O7mhtiICAwdOBCjUlM7PLXMw8MDLa2t8PTwgLq5GdW1taydE93iGNDbpaek4Idt25C7ahVmRkQAiYlAUlJ3F4t6EFVtLTbt2oUdBw4gJTkZD86fD7lcjpaWFhSVlaHw1Cls2b0bX61bh9iICKQNGIDRaWlO9Xv7enujsakJysBA1NTX42JVFQM60S2uRwf0dQBQUwMEBEC+bx+ee/99+J88eX2H8eOB778HOFCIuphGo8E/li6Fr7c37po2DRNGjDDMB/f09MTg5GQMTk4GoKvB7zp0CHsPH8Z3W7agT69eSOvXD6OHDEFkWBgAQKvVIi8vDxUVFYiJiUFGRoZofnmAnx9k7c3t3l5eKD93DkmxsTf+womo0/TogD4FgLB4MeDtDWzYAH/THXbs0NXST59mUKcutX7HDghaLZ5/+GF4enpa3TcyLAw/mz4dP5s+HZdVKuwpLMShEyewfscOhAYHIyU5GYq2Nhw5dAgAUFJSAgDIzMw0HEMmk+lq53V1CAsNRUllJWvoRLc4mSAIQncXojvU19cjoD2JhiCXQ2Zt0NHo0cDu3Z1z4qIi4MwZwM0NaGtj0z5B3dKCZ15/HT+bPh0TRo50+ji1V69iT2EhCk+eRM3Zs1DIZIbXWgE0e3vD09MTXp6e8PLwQGNTE0ampCCqTx/sO3IEv5w/HzKj9xD1BPX19QgMDERdXd0tv65Hj66h61kN5gCQn4+lL7+MxuhoeCsU8Pbygo9CAW+FAj7e3vBRKODr4wNfb2/4tf/Xy9NTnEJTpQIWLgQ2bDA//vTpwKpVbAXooapratCkVmP88OEdOk6Qvz+mjx+P6ePHY9u2bdi+fbvhtdTBgxGTmAh1czOa1Go0qdWou3oV5RcuYMzQoWhra2MwJ7rFMaDbaVhVFU6kpEDd3Iya+npcuHIF6pYWNLe0oLm5Gc2trWhpaYGmrQ0A4CaXw8PDAwpPT3h5eeGBpUsRf+qU5DxBYdMm1M2ejbOffAI/X1/4eHvD38fn+kOBvlbP2rxLam5pgbubW6fmUM/MzIRcLrfYhw4AgiBg9YYN2LxlC1oaG3GtqkpyPyK6NfTogK6B/Tdg+KBBGH777Tb3a2lpwbXGRjQ0NeFaYyMa1WpoT5xA4okTFt8j02oRtGsX3v7Pf3AuIACa9iUs/Zqb8fC332LQmTOGfUsGDsSGxx+HPCQE3l5e8Pb2hreXF3y9veGtUMDP21v6ocBZzjxM8AHEIc0tLXB379w/RblcLuoz12q1yM3NRXl5OQRBgEwmQ2xsLDxaW1F49CgAXV97YWEh0tLSGNiJbkE9OqBvBjB5wgS479wJWXvN2iKjL0drPD09ofT0FOfErqiw671/mTYNmDkTLS0taFCr4T11KrxKS0X7xJ08iTs+/BBrn38e9deu4bJKhSa1Gs2trbqWgpYWNLe2Gh4K5HI5PD084OXhAU9PTyi8vODl6QlvLy8o2rsOFF5euq4DLy/4+PjAV6GAf0sL+vzf/8HLeHlZW10DUt0K7E6wqaW1Fe5ubl16jry8POTk5Ii2lZaWIshkIFxNTY1hv0w7P/NEdHPo0QF9JoC6zz5DwCOPSPdtAxAAyCZN6lhNMyHBvv0SEwEAnteuwfOOO4C9e812kWu1iDh4EA+mpVktk/6h4FpDAxqamtDY1KT7r1qNxvY+1Ea1GlcbGnBZpUJzczOajLoQHvn0U7i3j47Wa9u4EcVjxuDzxx+HwssLCk9P3TiC9oeCrBdeQOj+/aJuBWHzZrTddhvkf/wj5MnJrLFLcJPLoWlrg1ar7bJacYWFh0pL/eaW9ieim1ePDugAdDXH9et1U9MOHgTeeUc3Xa2dTF/D1HOmOTk5GZg+HcLmzZItAYKbG2RTplw/3s9+BmHHDlgdolRcbPX8np6e8PT0RLAzozaLioA//9lss5sgoN+pU5gSGorqXr0MDwdXGxqgOXECvQsKzN4ja2uD++7dwOzZAIATSUn4X3Y2tEFBoocChdFAQ1+FAt7e3vDz9oaPfqChjw98FAqXbAaOj4qCurkZl6qr0adXry45R1RUlGH6mp6yqgoZnp4oUShwtLkZxhNeYmJiuqQcRNR1GND1kpJ0/+6+Wxfci4vFQdve5uSiIiA3F5DJdM30+vevWgXZggWSLQGyKVOuPzQUFQFbt1oP5oChNt8ljPrspWQEBQFTpog3rltn16H7l5Tg1+vWYd+bb6KhfYyBurkZDY2NqK6thVqthrqlBeqWFrS0txi0tncfyGQyeHp46LoQ2qdfST0UKNofCvSzD/x8fHRjCnx9u+ahoINjBnx8fBASFITTZWVdFtCNa+KKxkbctWYNEtt/z0MApCYkYM38+fCOiDD0oRPRrYUBXYo+uBtbuFBXwzbaJGzapAvS69frAv78+YBxnzMATJoErF4tbgkoLgbc3QGNxjwIrF1ru3wBAY4FDkcDjq0uAqmHCTu7FWRtbQjevRtTe/Wy+xo0x4+j5eRJ1Pfpg6sREbjW2IimpiYIRUWQl5aiOiQEVwID0aRWo6auDk3tYwnUzc1oaW1Fc0sLWlpbdee38lCg8PIyTEv01k9H1LcWtLcQ+Pv6ws/HR/dQ0IljBiLDwnCmsrJD89CtqaysNPz/XWvWIN6kth5fUoK7Vq/G7hdeYN850S2KAd0eRUXAhg1mtWaZVqv7Mt+3D/jTnyBs22a2j7B16/WgD0g/LOjPceYM8NZbtstTXw9kZNhOS+tMwNGXY/x4CLt3i7oIzLoGjNnoVjBjo8vAuPzuGzbAHYAPgPDp04H33gOeesqh69JoNIbugUa1Gq3HjwPFxajp3RtVvXpB3d59oG5uRk1dna6VQD/IsP2BoKW11dAs7enhgV+vXInkM2dgPJxNu2kTzk+ahB0vvYT+bW0Y4uFh14NU36goHLQyE6KjYmJiUFJSAmVVlaFmbkwuCEg8cwYqF+zSIOoxhB6qrq5OSAKEhtWrBaGoyPrOa9cKAmD538CB1l8HLJ+juloQpk+3/X6Tf1q5XPc+Y6dO6cqqP9f06YLWzU38PplMV17T8kiVIyRE/PP06YKgUlm+TyqV/deSkWH5WPrrGD/evPxuboKgVApa0/sBCMKkSdZ/j5au09Z1tWtraxOuNjQI5y9fFsq3bbN6fWUJCQ6d48Dx48KvX3rJdvmd1NbWJuTk5Aibfvtbq+VWf/ttl5WB6GZUV1cnABDq6uq6uygd1qMDut1fuOvXOxxwzf6tXSt9bImg69C/oiLpIDV+vO33Tpp0/ZrHj9c9JJgGz4wM8UOCNfpAvHGj7r8ZGRavTevmZv5A4uTDjV0PTlbut2RZbLHxkCd5L62cY8f+/cKzb7zhWBmcceqU1XJf2LWr68tAdBNxpYDO9rV2wubNwIIF0i/aSg1rD6l+5w0bdE359jRRW1JcbOjfNybs2mXzrcLWrbp+/4wMYMcOsxS4srY2IC9Pl3e+uFjX/y9FpQJmzAD69QNmzQKmTdN1HSxbBtmYMZJvkbW16a7f+JgS1+Gw3FzLr+m7Tkzut2RZbLExZkDyXlo5R019PQJ8fe0/vwX6BDLLly9Hbm4utO3l0Gg0WLZsGV7/9lucGzwYgsm8d8HNDVfS03GJ+QKIblkM6O2sfuHaM+Br/HgIEpsFABg2TLxRHwBnzHCipCbc3KSDlB0PITIA2LoVws6d1necPl0XqJOTdWWuqRG/LvVAsXEjhOxs4PnnrR+7uFj3XwvB1mEXL+pG3Ot/j0VF13+2MXrfUBZ76McMmAZGW33QFs5RW18Pv04I6PoEMiUlJcjJyUFeXh4AYOXKlSgrK0NTUxNW3HYbzg8YIHqfbMoUVP7rX6iure1wGYioezCgm5L6wtV/eUvsLgC6gPf997oENCZkAHDggDgYdkJNVAB0I+g7GgAByASpK7NwXtOWDEu1XkGAbOdOyfnsIvqWC1vBVn9+WwHzz3++/vARGnq91SA5GXjlFfvKYq9Vq3SDBI3Ixo516hx1V68iwM/PsfNLME0Io//50qVLhm1qb2+szM7W/e7WrtX9d/16KOPicEWl6nAZiKh7MKCbeuUV8xoooPvylgrYkyZdH129ZYvuy3HpUmDQIPPa2+bNwO23d0pNVAYAhw7pgtYNZNaSYSMQCwcPAiEhkk28mD79+uhve6e9jR2ru7em52n/J9pWXS3+efdu+8piL/1UROPAmJcnXXO3co6WlhYUlZUhOS7OsfNLME0Io/85LCxMtD0sLExXlpkzDWUKCQpCTX29Yd4/Ed1aGNBNCLt2SfelmwbspUt1/79li3iqVFISMGECcOyYdF+tURa6DlOpgN/9TjKA2MP+erkEfUuGPX3J1dW6NeWNTZ4szsBnqQnbzQ0YNAhYssTQ149jx8ynELb/M90m+rmtDaiuNuvXFyX2cYZJYJSsuVs5x479++Eml2NUaqpou6X+cGsyMjKQlZWF+Ph4ZGVlGRLELFq0CHFxcfD29kZcXBwWLVpk9l6/s2cRf/Qo6vbvt+eqiegmIxMEB9pbXUh9fT0CAgMt71BU5Hze8XXrdM28N0pBAfCnP1nMR29Re4uDkJsrnm8ul0M2dChg7Yvd+P7MmKFLsmMl4Bx57TXknD0LpUoFlVKJ1LvuMk9gUlOje5iyllff+Gc3N1xLSMCR8eMx9uOPrV2p2Nq1uqZv02yAne30aeR+/jnOeHnhgeees7jbn956C8MGDMC8adNE23Nzc0ULqmRlZXVN0hcuqkM9WH19PQIDA1FXV4cAZ1Jl30RYQ7fEkQFSevoBWLZqyxkZtvuCHXHliq7p11ZAX7PGvHVh9Wrz2uTUqcCmTfY3Ha9aZbPv+IxMBlVICIqTkgBBgOaHH8wHIBo3YQ8bZnaPpGrc/kVFGPvzn1u/blP6IK6vVRsPnOtMSUnwvvNOHNRo0NLSIrnL3sOHUV1Tg2njx5u9Zqk/vKNMa/7CggXmgxo3bYLwi190yvmI6MZgpjhLHBkgJVXDCQmBUFsrnWlt1SrIhgyxe1lVu8s6bZouCEtktRMAyD744HrGOj3TlLTGNVaJ/POSTcfBwcB33+ma301GSeuvOTg9HYq1a0U5xPHPf0rXBAUBOHDAdj57vfJyu3Yzy3TXhTVTrVaLvLw8lJeXw18mw7uff4575841LKurbmnBqh9/RH5hIeZMnAg/Hx+zY+izuxn/3JGyVFRUICYmBlqtFtu3bwcA1O7di8yNG83eI9NqgY0bdZ8LrpBHdEtgk7sJw5e+aeCzZsYMs5SnglwOWXCwrv9YzzhYvPSS7RHgNkiWtaAASE+3/CZnuhKkgr0pS83uISHA6dPQBgaidvRoBO3fD7nRPpLX4GiXxdKlwEMP2d7PNFhL/d6c+f1LMG0ud/f3R0VdHQL8/ODn44P6q1ehUCjwwLx5SLAQqE0DcUZGBuRyucXt9pYlODgYNe0DPxNPn8ailSstX8iwYcDmzWx6J5flSk3urKGbcHiAlLU879XVulqO1CIsnbAIh2RZq6qsv8meHOqmLOWf17NwDwDo7kFVFeRXrkBpYXlVw6h5B0e8C25ukGVmAsuWWd9x6VLxyndWyixZHieYNo/H9OqFBT/7GS5VV6Pu6lW4ublhYno63N0t/wnK5XLJPnP9XHMAhhq86X7GQb9GatZGO5WNQC0cOiRei4CIbloM6HrDhgHvvw+MGOHY+2zNn9ZodH21elLNvA4QAMiGDQO++EI64DizUlpHdUbCFuMHDTsXepH5+QGNjRDy8yUfJgy17QcfdK7MHQjoUs3l8dHRiI+OdvqYevb0rRsHfVOpqakoLy9HWVkZVKGhKE5IQHxJCeQSjXWGBYjY9E500+vRg+KSADSuXq2rre3f73gwBxwPoLaSygwfbvVwstGjdU2glr5crU3/cmautT3suQeO3ieJqV9m6uoAC8EcaJ+zbqm1pYsffCxNH9OzNCXNnu2m09ek+talgrxCoUBWVhYmTJggaqJfM38+LoaHW78gZwaJEtEN1aNr6MUANFOn6tYXd5aF2qTkUqPWmqYBXfN8WRnw8MOWz/eXv9juz7R3MFtnsfce2HufgOuD9TZu1D2IOGPxYsv3ypHfmzE715Y3bS7XarXYtm0b9u7dC41GA19fX9TV1QEQN5tbak43rXHHxcVBLpcb+tBNmbYQALq14PVlMn5d7e2NLZMmIdtaX7qVrgEiujn06Bp6p7E3kYitZt7nnrMezAH7ao5SGczWr+/agU323AMHE64A6JTUthY5Uh7TBWgs5bW3IC8vD9u3b4darYZGozEEcz19jdpSc7rpdrlcjuzsbGRmZhoGyuXk5ODtt9/G22+/jba2NgSaDPo0zhaXkZGBOKPMdDa/CJg9juimx8fuzmBt6pcxG828wqFDFmvvNmuOUmwNZrOHnTVSu+6B0T7aoiLsq63FKa0WMYcPWx6pbecAOUm2krDY+3sDdF0lmzaJE9ts3mz3gDFbc8j1zeaWpqrZmsKWl5eHXKOV5vLy8uDp6YnAwEA0NzcjPDxclB1OLpeL7retwXFdMvaCiDoVAzpgf9CyxVYAtTHYy1qmtS5tMpfi7Bxtex4ikpKQd/48cvbtA2B5pDaA6/fMWleFCQHtOfbtaTYXBN2SqzIZcOEC8OKLwLVruvEUd9+tO8bevR0eES/VBA7oppClpaUZms31/zWekmZtu57UA0NLSwtaWlpEGeaMR78b98VbGhynlcshnzqVA+KIbgE9eh56XGAgLk2eDI8tW66/0NUpL22kN5W0dKn0SO2u1IVztAFg+fLlogAXHx+P7Oxs6Z1ranTrtm/davaS4OYGWVCQ5fn+xpyZYTBhgi5ZzuHDlvdZu1Y8k0GCflBbXl4ejP/krF63A3Jzc3F49Wooa2qgUiqhCgkxvNa3b1/ExsYagnhZWZnhtbi4ONTW1qK2thaKpibctXr19cQ/ALTTpkH+xRech04uy5XmoffogL4rMBDT3dy6LGhZ5chgrw0bdH3JXZl33FhRka6v2NrrHSyHU3nK9+0D7rsPOHbs+jZ98K6qsi/5jY2pcKZM88dLcuB+dEl+dpUKwoIFkBllfCtOSMCa+fOhbl+MxTiIG4uPj8eiRYvEiWrCw4HiYnxfWYkhc+YgLjKyY+Ujuom5UkDv0U3uMwCzQVedlVjEJjuCiqH2aRz4p08H/v53XQDrqgBvzxxtQehQN4WtJmRJI0YAR49K93kHBzuf/MYKm/sPG+bQ9Tt13bYsXKjLy28kvrQUv/juO5S89x4qKystvjUmJkY6gU2/fog4fBinSksZ0IluET06oFvVwcQiNtkx2EsWFAShpkY8EGvDBsi6elUsW2X7xz906353oAyWsqDZxZnBfrYeUpz1/vsO7d6h65Zi4UFFrtUi9uRJXDp/HrUm+fVtTXnT69e3L75cuxZNajW8FYrOKzMRdQlOW7Okq0f1hobq8pybEORyXa1vwwbd2t0mA+XMFl3ZvFl6/faOsJacJiREt2Z8V5dBSkdWRevIaHkJhkQ9ziQj6kw2HlROr1tnSP0aHByMrKwsZGdni6a8WRLo74/eoaE4befiN0TUvXp0QF8P3NiMasYWLoQgMYdZFhysywRnZz+vqIugM0nN0R45UveQYa2bwhH2BugOzgEHYPEhxVk3fNaBJTYeVFRKpeH/6+vrMWbMGKtB3FT/vn1RZKH/nYhuLj06oC8AoMnKEm3r8Be1PUFK30wqNU2tulq3YtrZs46dt7NTc0olp7GwprfDZXA0QEuky3WqVcCedLL22Lix6xP12MtKa8q5wYNFo93b2trwn//8x6HDx/Tpg6qaGqibmzuluETUdXp0H3otgKavv4bHpUu2R0jb4si8bVv9uUaD4OwaZQ1ga1UVajZuxOCkJCTFxjpUC7NK31+9dy9w4ID1fe3tpmgP0HYladmwofNWRZNKJAPo5qEDuvSm27bpXt+92/JxboasacZz6S2k+s274w7g8mXR2+rr6x06jY+3N4ICAnDhyhX0jYrqlKITUdfo0QF9BgD5mTPA0KEdb2J3JEh1Yn+uViZD3ejRCB8zBmEA9h09igPHjmHE4MFIaB/B3Ckee8z66/aO9raxbOm3b7yB4PR0ZAwaBPk999ieM94Zy8Ea//9999mettedWdOsPTiaTN3rk5uLUyYB3d/f3+FTRvTujfOXLzOgE93kenST+zoAfsOGOd4fa0ofpBzpWx42zK7+XFu1c/nQoQj+6ScMTEzEoMRE/GLWLAwZMAB7Dh/G/9avR3FFBTqcaqCoyHbt3N7R3jZaJxoKC5GTk4PaWbOsr0qn1xXB1caKddqEBMkV0RxlaWU1q6x1PyQl6RLctD+gZGRkINpkudbU1FSHyxnRuzfOXbrk8PuI6Mbq0TV0PUdyckuy1YSek6OrOYWGAn/+s6F25eicaEkmWbzc3NwwICEByXFxOFlait0HD2L/0aMYmZKCvlFRkMmcOKut6xs2zP7R3nYM4lJWVUFZUGB1P6dy2zvCyop1piuilZWViaaB2dsqYmllNYtstG6Ydj/I5XJ4eHiI9j137pzVMukfMo4cOQJA9wCQHhyMU7m5UMfEQDFokF3XRkQ3HgM6OiGZjK0mdKMV1Ez7xAW5HK1JSSgcMgQjv/zS4iEESxntLJTXzc0NgxIT0a9vX5w4cwY79u/H/mPHMDIlBbEREY4FdlvX58hcbEvLlsrlONO3L1QhIUi0Y7S8w4MXHc3Xb2XhFtO86fosbCUlJRAEAVkmAy0tsbSymkX2JPwxuTZbi7qY0q8KBwCKxkZEvf02fM6cwW0A8NprXZ8amYic1qOb3M04O1LcUhNt+z9jZrUrrRaep04Zgrnp/oKbGzBpkuPLjrZzd3NDSnIyFsyejX59+yK3oABrNm5E+fnz9jfFW7o+udy5udhSo82nTMGlJUsQHx+PpBkzrL/feJS5rVkF1kbU2zMjwaQZG7AeFA9by/luwvQ4toKtzQcrie6HjIwMZGVlIT4+HllZWTYz0xk/VNy1Zg3iTRaUuWE5B4jIYT06l3uAyXrRHcpR7syiKxLMRrUb14jsWebThlaNBseKi3Hw+HEE+vtj5ODBiAoPt11jl7q+jtbWrF2PrcVh7J1VIHUcuVw339+eBV0kGK9Ydv78eajVasNrwcHBeOKJJ8S50S00wxsfx+7m+i5eNEefa15ZVYUn//1vyzt2Qj5/opuBK+VyZ0BHJy/Iog9S584BDz3k/HGWLtWt591FX5qtra04evo0Dp08ieCAAIxMSUFkWJjtNzr7UOFok7etBwh7Aput0epGnP0MbNu2zdBEDQATJkyAXC63uACLU0HcWFc8WBnR96HXf/kl7rDWlWLHCnNEtwIGdBcgqqF3Rb+gA8FE0g36wmxpbcWRoiIUnjyJkKAgjExJQUTv3p13AmfXVdeTeoCwdzW4det0zeyOcLDmKRWgV65caXFp2E5bba0TWmuMmV1HWBjkAwZYfgNr6OQiXCmg9+hBcTMBfHXgAPyGDu38gycn6/KeV1eLB8HBztHtN2ius6eHB4YPGoTBSUk4fOoU1m3fjt4hIRg5eDDCe/Xq+AkcmZ8vRWohFnsHhzkx3//IN9/gUJ8+dteepRZbsTYQzeGBcJY4s0CNFWYj7rOykDh4MPocOwa50TO/IJdDNnUqgznRTahHD4pbD0DbyYt2GBQV6fKem2y2K5iPH3/DvzC9PD0xMiUFi+bMQVhICH7MycHB48c7dlBn5ufbw97BYU7kb885exYlJSXIyclBnvGKcg6wNhDN4YFwN4jpg0VhYSFyH30UJfHx4v3694d25cobWTQislOPrqF3iGmfsMnPTceOwduZ4wYFAd9/38mFtZ/CywvpqanoGxWF77ZsQYC/PxJMkpPYzYlpVnaxNPVNaiqfxHxyeHhAaG01azlp9vMT5T53tvZsbYlUyfXQHR1f0AVMWxVqamogBAVhZXY2lNXVUKpUUCmVUIWEYNzBg5jSGTnxiahTMaA7SqpPOCRENGJaNXo0cufMwZ3OHP/992+KOb69lEpMGTsWm3ftgp+PD8Iklnq1yYlpVnazkvhFxHQ+eXu2N6mWE8W1a1BWVxuCelfUnkXBXqXS9fF39fr2dsjIyEBhYaFhqVUAhpkPqpAQ0YPOmdJSMJwT3Xx6dJO7U6RSbxpPfwIQtHcvbtuyxfLcbWu6oj/fSXGRkUhPTcX6vDzUX7vm+AFspFDtUG1UajU4ayug6eeT21iWdoCHB/r27WvXnO0Os2MVOafSwzpBLpcjLS1NtC01NRVZWVkINrmnCl/fLikDEXUMa+imrDV/Wkq9afKzXKuF59atQEGB7jXjWuTUqUBrK4TcXIcyv3WXlORk1F69inXbt+POqVPhaZJK1CZ7a9LOMh4cVlSkWzlNJrM85c9Gq8GJ1lakxMQ4N/LcGqkuGjvSuDqcHrYDpLoD5HI5MjIyDCPgA4KC0OhM+mAi6nIM6HqWplf9/e+6VawSE233CZu6ckU6fWhNTdcGuU4kk8kwftgwrM3NxaadOzGzfZ613aykUO00KhUwf75u6VNjkyYBq1eLa+0W+t+1MhlK4uOhCgnB4cOHLaZvtTSP3OL8ckufqwcesH5N7eMLOm1UvB0s9f0bb1c3N+PTb75BQ1MTfL2dGiVCRF2EAV1PanrVhg2QGX8Rjx/v2DH1fcSmU4xuRJDrRHK5HFPHjcO3mzdjx4EDyBg+3PFFXjpzmpVpbXfhQgjbtpnVdoWtW6Wnx0m0GpTEx2PN/PmGny0FaEs1Zos1aUvT9hoarF9j+2fH0VzsXU3h5YXQ4GBcuHwZibGx3VoWIhJjQAfsbkoXdu2C2t8fXg0NkBv1ZZotuGJv83knzyXuSl6enpg5YQK+3rQJwQEBSElOvvGFkKrtjh8P7NghOR3Q0N1huuiOyQNVflUVNhgFzZSUFIsB2lKNWXK7tWb1HTuA8eMh7N5ttetFclR8J7Inc53pPuGhoTh76RIDOtFNhoPiALub0mVaLbyvXoV87FjxdpMR4Ddr83lHBfj5YWZGBvYUFqLcxjKcXUJqENmuXbbfZ2nRnfaBcumLFonmjVsL3JbmkUtut/W5evJJm4vu6Ju7s7OzkZmZ6Vh3hx30Dy7W5t6b7lN3+TLOVFSgpbXVbN+DBw9i7ty5iIiIgI+PD/r3748XX3wRjY2Nhn3efvttjB49GqGhofDy8kJMTAx+8Ytf4NixY516bUQ9TY+uoV8GUHfkCIoaG+HQemHPP69rEjVuLr9Fms87Kiw0FFmjRmHz7t24Y/JkhN6o6VWWarv2jPp2t/wxN13/O7p9zr2lpm5LNWbJ7bZW7xs6tNu7XuzpozfdpqqqQlBYGE6Vlopaao4fP46xY8eiX79+WLJkCUJDQ7F9+3a8+OKL2L9/P7777jsAQHV1NWbOnIm0tDQEBwejpKQEr776KkaNGoX9+/ejX0dSJhP1YD06oIcCUM+YgdObNqFNqYRcpbIrk1tjVBR8TJvLb6Hm845KjIlBffvI93nTpt2YwVGODkg0ptFYfMl4/W9Al2tdJpNJBmhrzdOSA8rsTYDTTZ8drVZrNg1Oqo9e6uGmT2ws9h89isFJSYbxFJ9//jnUajXWrFmDhPbZBJMmTcKFCxfwwQcfoKamBsHBwfjb3/4mOn5mZiZGjx6NgQMHYuXKlXjxxRc7+1KJeoQeHdBlALyvXcOkEyd0/bM2aOVynB08GNe8vTGw64t3Uxs6cKBhOtsdkybBw9HpbI7qSIpeKwlsLNVIpQK08cIqUlPItFot9n3+Oa4eOgT/oUMxYsECyB2YttfhldgclJeXh7KyMsPPCoXCEOSNzyv1cCMIAnYfOoSKCxcQGxEBAIbPQKDJssRBQUGQy+Xw9PS0WJZe7esGuFtpTSEi69iHDgBbt9q1W9Xw4fD99lsMvEELp9zMZDIZMkeOhIe7O7bk53dZwhMDW0lqnExgY6lGKsVq87RKhdrRo5GenY3J//wn0u+5B7WjR+teszMBjj392Z3J9HrUajW2b99udl6pfnw3NzcMTEjA0aIiw3733nsvgoKC8Nhjj6GkpARXr17Fjz/+iPfffx+PP/44fE0S0rS1taG5uRknT57Egw8+iN69e+P+++/vugsmcnEM6IBuvrIVB377W1zOz0fvvXsR0rfvDSrUzc/NzQ3Tx49HTV0d8gsLO+/ARUXAb34D3HEH8Omn17evWmV5EJm116zIyMjAhAkTEBwcjODgYGRmZlocSW4a6FUqFZYtW4bPPvsM5zIzEbRvn+j1oP37r2d902eqs/JwYRpg9+zZ43B2OEcyy9n74CJFo9HgSEEB9ufl4cOPPoJGo0FcXBx2796No0ePIiEhAQEBAZgzZw7uvfdevPXWW2bH8PX1hUKhwIABA3DixAnk5OQYxjAQkeN69Hro/oGBEJRKyKur0Tx5MjxyckTT0bRyOZonTIBi61bH5133ILX19fhm82aMSk3tWOuFSgXMng3s3i3e7u4OFBQAQ4bofrY2iKwLB5jpm8RNc54rq6rw5L//bfmNdq4dbrpWup4ja6abHkOhUCA9PV1yhLyl67HnfMuWLRM118fFxSEzMxNTp05FWFgYnnrqKfTq1Qt79uzBSy+9hPnz5+Ojjz4SHePAgQNoaWnBmTNn8P/+3//D2bNnsWXLFgwaNMiuayXqDFwP3UVUAbi4YgWKNm5E/cKFmFJdjWijmqZs6lR4r1qlSyVKFgUFBGD6+PH4KTcXAX5+iAoPd+5ACxfq5mWbbBY0GsjS04GWlvYNVp5Bk5KgTUjQ9UXn55v1RXekn1rf9FxRUSEO6Eb/L8nOVeX0LQN79uxBU1OTYbu92eG0Wi0KTVpK9M3oUmMC9NuMU7vaO9f90qVLop8vXryI5557DvX19Th06JCheX3ChAkIDQ3FAw88gMWLF4vKMGzYMADA6NGjcfvttyMxMRHPP/+8YTQ8ETmmRwf03gD+ef48vH18IPP1Rd5LLyHd2xvxajXkycmQ9ZBR650hondvTBgxAht37sTcKVOgNBkYZZOFaWlAe4KY1lbg3/8GfvzR5upkubm5hpHrJSUl0Gq1mDhxIgB0Sm5001HfKltT9+xstTAOusa1bHuzw+Xl5YkeNIyVl5cjNzfX/hH6NoSFhRlq6FVVSrQJ8di7dysGDhxo1lc+cuRIAMDRo0ctnsff3x/9+/dHkVGfPBE5pkcHdECXyjIlORlJcXHorVSyab0D+vXtizr9dLapU+GtUNj/Znumpb3yCoTLl8VZ+TZtwvnMTBS/844hSOnnlOsdOXLEENA7Ize6vgZ76NAh1NbWQhUaiuKEBMSXloozCFrJGGitpcDZ7HDWrkUQhE5d5GXRokV4//2v8Pbbo1BUFN++9TacPbsVlZXXEB3tZ9h3d3sXSlRUlMXjVVVV4ciRIxg3bpzTZSLq6Xp8QF9w221my0OS80ampKDu2jWsz8vDnEmT4G4y8twie6alXbggmVgm8sgRfL1mDQDbQaozcqNLNVVfWrIECe+8A2zceL1sVgblWWspcKbGDJhfm0KhgLe3N1JSUlBZWSna19lFXrQnT+Lod9/h4NWr+PeaB1FcLL5/ra0TkJJSgA8+qERoaCjy8/Pxj3/8AwMHDsTMmTNRV1eHqVOnYuHChUhKSoK3tzeKiorw1ltvobm5GS+88IJT5SIiBnS42RtwyC4ymQxZ6en4Yds2bNuzB1PGjLGv1UM/LU2i2V0AIHNzs7qWuVKlMgSp1NRU5ObmGl5LTU01/H9n5kY3C7yzZ9s9KK8rVlGztPwpoOuGKC0tNezr8INMex59+YYNSAWgQBJO4iWJHd1RVzcGjz/+OzQ0HEJ0dDQeeeQR/OEPf4CnpycEQUBaWho++OADVFZWQq1WIzw8HFlZWVizZg0GDuzpGR6InNfjAzp1Pg93d8zMyMCajRux7+hRjExJse+Nq1ZBdtttZqPcZe7uumVQ5861+FaVUonU9iA1YcIEyGQyyaBtb+3X6cFzdmZ964pV1KxdW4cfZExWjTsD6y0qn322CzNnmm/38vLC0qVLHTs3EdmFAZ26hLdCgVmZmfh282YE+Pmhnz3z94ODgV27dLXc//xH169+553AfffpXpdKoyqX4/ygQUi96y5DkHK2ydpYZwyes6arV1Ez1aF7IjFgMQHWxzww9xLRjceATl1GGRiIqWPHYv2OHfD39UVE7972vTEpCfjXv8y3S6VRnToVkatWIbKTx0F0RZO4sc546LhhJAYsJuM0pmM9NmMK2oy+RmQyLaZMEZCUxK4sohuNmeKoS0X36YNxQ4diw44dqLt6VVfbW7dOVwt3lH4dcwtpVDUaDZYtW4bXX38dy5Ytg8bKoiy2WFomtUeyMGBxFRZgCsTL2aYkluLVmcud+/0SUYf06ExxrpId6FawNycHUb/9LSIOHry+UWIOeUdIZS+79957rb7HUl/5jV4opTM5W3ar75sxw6y7QyuToSQ+Hm/P+j9o63ph8cGvkH7ka8PrwrRpkH3xRaf9fom6givFAja50w0x8sUXAeNgDuhGtM+fD2zZ0innMM5epqyqgk95OTB2rNVBapb6yjvaJN6dDwTO9v9bfZ9Ed0dJfDzWzJ+PpurDWLxmFYY1NIgPuHmzLpf9+vWGTQcOHMCzzz6L/Px8uLu7Y9KkSXjzzTcRHx8PIuoYBnTqekVFkG3bZrZZBuhWujt9ulPyroeFheHi8eO4a80aJOr7fT/5xGpLQFf1lXf1oDprnL0mq+/Td3e0T8tbtnMnyjw8cO7cOez4+GMslVgERqbV6h4A2n+/J0+eRFZWFoYMGYL//e9/UKvV+Mtf/oKMjAwcOnTIsIQqETnn1mhDpFub0Zxwp16306JFi3DP2rWIN5oOBgCCvqYooav6yk2DY2FhoV0roHUGZ6/Jrve1rxoXM3kyAGDr1q3o374OukXFxQCAv/zlL/Dy8sKPP/6IWbNmYd68efjpp59w5coVvPnmm3aVkYgsYw2dbmnGTdv9ZDKkHz1qto+srU1UUzSmny5WXl4OQRAMOc872kRuOs+8pqYGNTU1nVJbt9Wc78iUOONjRUVFITMzE5WVlTbfp++WePXVVzF2yBBgzx7LBU5MhEajwY8//ojFixeL+iljY2MxceJEfPPNN3jttdfsvwlEZIYBnbqejeC1PzQUQ9raLGbtsxbAjJu25adPI93aiSRWPdP3lRsvO6rPqGYcdB3tEzcOqvpgrtfRZn3T5nytVgu5XC4qm70PDKbHysrKQnZ2ts336e+bVquFrF8/ICjIbNCcBsDl1FREJCXhzKlTaGpqEmXt00tNTcWmTZugVquhcCT/PxGJMKBT10tOBiZNgrB1q3hhFQCazEyUKBSo2LoVU8eNg5+Pj9nbrfVHGwfHjqx6Zqn/WGrNcFu1bNPgHxUVZVj9Deh4s75pWY8cOWJ32Wwdy9GHjYEDByI/Px/aXbsgX7RINGhuM4Adkybh74KA6upqAIBSqTQ7hlKphCAIqKmpQZ8+fRw6PxFdxz50ujFWr4Zs+nTRJtn06fD45hvMnTIFwYGB+Gr9epy9eNHsrdaCjnFwVIWGQjVyJASTmr7g5qYbGGdl4J1pkNVqtVi+fDmWL1+OnJwcs2VJrQU+/QNISUkJcnJydPnts7IQHx+PrKysDmeFs/VA4EhQttZvrtVqkZuba7Xv/8knn0RRURGe+POfce6jj3AhNxdLpk1Df7kcMwFUy+Wi36m1vP5c6ZCoY1hDpxvDZJS08eIlHgCy0tMRHhqK9Xl5GDJgAIYPGmT4greW99y0vzjoiScgM6kp1gwbhk1z5yLcSt+48XG0Wq1oPrsUa0HVNKBWVlba1YxtL9NrFgRBtBiNIy0A1vrb7Rmp/8ADD+DKlSt46aWX8J///AcAMGbMGMx95hm89tprGDFkCPYdPYoB0dEAYKipG1OpVJDJZAgKCrK73ERkjgGdbiwri5f0j49HaHAwNu7ciUtVVZg0Zgy8vbysBh3J+eJGDw57VSqsKy4GLl3CyfZ56lLN0cbHWb58ucXiBwcHIy0tzWotuysWXjFmes1ardbiYjSOHsuYtZaRoiJdRtjEROD3v/89fvOb3+D06dPw9/dHbGwsHnnkEfj6+mL+HXfg682b4eXrC29vb7O16gFg586d8PHxQXx8PGpraxETE4OFCxfi6aefhk97F4wgCHjnnXfw3nvvobS0FEqlEnPnzsUrr7wiufxxeXk5/va3v2H9+vWorq5GaGgo0tPT8c0339h9b4huNQzodFMJDQ7GXdOmIWfvXqzesAHTxo1DWEiI46PC2x8cTpkEZ3uao00DclxcHORyud0JYm6phVeskHowaV9F1bgBpH2avxcGDx4MQHfdX375JR566CEEBgRgSP/+OHjyJObMmYOvv/4ar7/+Ovz9/QEAmzdvxu7du9GrVy8sWbIEoaGh2L59O1588UXs378f3333HQDg6aefxpIlS/D0009jypQpOH78OP7yl7+goKAAu3fvhofR1LmjR48aujjefPNNREVF4cKFC9hgXGgiF8TUry6Q7s8VCYKAwlOnUHDkCMYMGYJBiYlO9bEaj14HgKysLJvB71ZO+9qZpO7DrFlybN4sXppeJtNi6NAqvPbaYRQWFuLVV19FXFwctm3bBj8/P7S0tmLlDz8gNjQUd9x2G4YNG4bnnnsOarUajzzyCK5cuYI9e/YgPf36HIVHHnkEH3zwAVQqFRobGxEbG4tf/epXePvttw37rFq1CgsXLsQHH3yAhx56CIDuczNs2DAAQH5+Pry8vG7MzaJblivFAtbQ6aYkk8kwpH9/9FYqsXnXLly8cgWZI0eKamL2cKa2fEuthNaFTO9D+yqqZgRBjgMHemPWrP9DbGwLHn30UTz33HPw9fUFAHh6eGBI//4oPXcO27Ztw3PPPYf58+fD3d0dERERuHLlilnq16CgIMjlcnh6emLr1q1oa2vDrFmzRPvMnj0bALBmzRpDQN++fTsOHTqETz/9lMGcepyeV+2gW0pE796YP306GpqasGbTJqjq6hx6vz4oZWdnG5KhkHMkVlEV+e67Yzh9+jT+/ve/G4K53uCkJNRdvYpeERHYvHkzGhoaUFdXh3Xr1iEoKAiPPfYYSkpKcPXqVfz44494//338fjjj8PX1xctLS0AYBagPTw8IJPJcPjwYcM2/fRAf39/zJo1CwqFAn5+fpg9ezZOnjzZCXeB6ObFbze66fl4e2POxInoGxmJrzduRHF5eXcXyW72TP3qTo6Uz8IqqgZm0/yNlsp1c3ODt1aLr/73P+Tk5BjOExcXh927d+Po0aNISEhAQEAA5syZg3vvvRdvvfUWAN1cd0A3eM7Yrl27IBjNcQeAc+fOAQDuv/9+RERE4KeffsJ///tfHD16FBkZGbhw4YI9t4XolsQmd7olyOVyjEpLQ1hoKLbm5+PClSsYO3SoxexyN4WiIhz79lscPnsWqpAQlJSUoKysDNnZ2TdNS4Eji8gkJ+sGwJn2obu5AVOmGE1eUKkgLFgA2caNhn0q+vdH+R13QO3tjdzcXMhkMmRmZqKsrAxz5sxBWFgYVq9ejV69emHPnj146aWXcO3aNXz00UdIS0vDhAkT8MYbb6Bfv36YOnUqjh8/jkcffRRubm6ie6l/UBgzZgw+/PBDw/bBgwdj6NChePfdd/HSSy91wp0juvncHN8qRLa01/biGhsxf/p0XKquxndbt+Kq6ZKdNwOVCpgxA+jXDym//z2efOcdLFq+HIqmJpSVlWH58uU3TU3d0Uxxq1bpgrexKVN02w0WLtQtiGMk5tQp3LV6tdl5nnvuOdTX12PDhg246667MGHCBDzzzDNYsmQJPv74Y8P8+q+++grjxo3D3XffjeDgYEycOBHz5s3DkCFDEBkZaThuSEgIAGC6SRKjIUOGoE+fPjhw4IDV6yO6lTGg083NKDhi1iwgORkB8+dj7vDhCAkMxOoNG1BxkzWjCgsWQNi0SbQtvqTEENDKysrwzjvvYNmyZfjss8+6tSne0ZXZ9PmBioqAtWt1/12/3mhl2vaRc3KT65ELAhLPnIGyvXn8akMk1q0D9u6twcCBA8363EeOHAlANwUNAHr37o21a9fi0qVLKCwsxOXLl/Hiiy+iqKgIEyZMMLxPKle8niAIN03LCFFXYJM73dzaa3uiHPCbN8P9nnuQuX49wnv1wsYdO5DWvz+GDxrU/V/YRUWipmY944CmCglBbW0tamtrAUgvBnOjODtn3mJ+IBsj5zwvNOPLLffjxHH9g8MGnD27FZWV1xAd7WfYb/fu3QCAqKgo0ft79+6N3r17AwDefvttNDQ04IknnjC8PnPmTPj4+GDdunV46qmnDNsPHDiAixcvYvTo0XZdH9GtiAGdbl7ttT3T2efGy6H2S0rSZZfbsQOXqqoweexYeHfTdCWtVotj336LFCv7KFUqqNqbhY11dAU2R5nOMV+0aFHnPAzZGDn36akXUHRKvABLa+sEpKQU4IMPKhEaGor8/Hz84x//wMCBAzFz5kwAwNKlS9sPn4Da2lqsW7cOH330EV555RXDvHNAN93txRdfxNNPP4377rsPCxYswMWLF/HnP/8ZMTEx+NWvftXxayS6STGg083L1jyp9uVQQ4KCcNf06di2Zw9Wr1+vyy4XGnpjymgkLy8PhysrrQZ0lcRqY0Dnp4cFAI1Gg5UrV+LSpUsICwvDokWL4O7ubiirtcFwTifXaR85Z7qUqlYmw77B85B/JELiTe6oqxuDxx//HRoaDiE6OhqPPPII/vCHP8DT0xOArrl8yZIlKC8vh1wux9ChQ/HNN9/gjjvuMDva7373OwQGBuKtt97CqlWr4O/vjxkzZuDVV1+VXO2NyFUwU5wLZAdyWUVFur5za68btfsKgoAjRUXYc/gwRqelYXBS0g1dwWv58uUoKSnBouXLEV9SArnRn5Ygl+P8oEEoeustQ951QRAgk8kQGxtrNWA6G1yXLVsmWmQmLi4O9957r6isevHx8aIFZJzJsGdQUwMsWCDKQlOckIAPZ7yF1969zeLb1q4F2ivkRDeMK8UC1tDp5mWhtie4uUEmmielI5PJkNqvH3opldi0cycuXLmCrPR0eDqYXc5Z+tzna+bPx12rVyPRuIVhyhREfvEFIm2s2S4VvB2ZWmbsUvtiNFI/21pAxrQLoLy8HLm5ufY9VLSPnNu7ciVOr1sHlVIJVUgIghUtVstrZbl6IrIDAzrd3Fatgsykticzmycl1qdXL/xsxgxs3r0bX2/ciGnjxkHZgaU57a0hGw8w2zlgANbt36/rM1cqkXrXXci0EcwBXc1Yn+2spKQEWq0WZ8+eFe1jb397WFiYqIYeFhYmWVapwXCmAV8QBIcfKkYsWIATGg1U7WVQqw9j5MhMHDgQjLa26y0nbtBgSsghJIUmALB9j4hIGgM63dysrKNujbdCgdsyM7Hv6FF8vWkTpo4di9jISKear+2tIZsuwaoKCTEMgLM3CJsuL3rkyBGkpaU5tRzrokWLzPrQpcoqxTTgl5tk57N2Pcb3uM4kVe8DD2yCsiQBG6pHGLZNwWZ8XnMPsGCE7ndNRE5hQKdbg5V11C2Ry+VIT02FMjAQW/LzMX/6dBzcv9/hmqajyVcA59dENx3SIgiC01PL3N3dDX3mjjIO+FqtVlTTB6xfj/EDkKlhfq14tHokTiMRxUhEIoqRhGJAC8PMBUd/z0Skw4BOLi8xNhbnL1/G1vx81J8/L3qtI8HZWm3f2SAcGBhomJ+u/7kzV39ztoXCOKAHBQUZ+tSl3m96T4ODgxEcHIyYmBiMuHYNAJCkD+Sm2mcuEJHjGNCpRxgzdCjWbNwId4VCtN2emrM+GJeXl0MQBEMw02q1ov5u4Hpt39EgrA+0pgPZOjI3vLMG2JkGaH1SHEsJcUwfgNLS0q7vU1Rkvczx8UxfSeQkBnTqETzc3TFlzBh8vWkTho8ciZrqaofXRzeeylVaWopgk0FuHUkOY6mZOjY2tlOOqQ+wndF9YOv9VlsnrMxcuJiWhvMaDYbbLBERSWFApx4jNDgYo9PScPjUKdz985/Dqz1pib1sBb+OJIcxPbZCoUB4eLjVpm1Hj6kPsI727Ru3UNTU1Ii6BLRaLZYvXy5qvrfZOmFh5oL7e+/hwP79iI2IQKgdMwKISIwBnXqUlORkVF68iO379mHKmDEOJZ4xDYapqamGJDGO9JPbc2zjKWelpaXQarWYOHGi3cfTarVmC74Yl9GRMhu3UOib2QFdX7q+jI7Mj7c0c6EXgCENDdian49506bB/WZeGpfoJsSATj2KTCbDxPR0/G/9epw4cwZXzp1DRUWFYREQ/bSx1NRUTJgwQVQrlgqGnbUYjGk/fWVlpej1I0eOOBTQTQeyxcXFGcrr7AA74xq/sqoK4eXlkPv5OTw1z0Bi5sKwgQNRfv489h89ilFpaU6Vk6inYkCnHsfH2xsTR43C199+i/orVwDArI84NzcXMplMFPw6c7S5KXlxMTIbG7HXzQ3riiVGfzvINLjqm8I7IiYmBuePHsVda9aIsuAVJyRgzfz5hlaBjpzHzc0Nk0aNwppNmxAXGdktOfmJblUM6NQjRYeHo7Whweo+pslUuoRKBSxcaOhPTgegbA+Qam9vw26m63xrtVrk5uZi79690Gg0iIyMxD333GNYfMXZefDWZGRkIOWZZxBk1OwOXF/rfWV2NvLy8px66DEdkT9s4EBszc/H/Bkz4OHOrykie3CGCPVIeXl5aGpstLqPPesW6QPr8uXLDVPZHNK+3rsxfYDUCw4OxoQJE0T75OXlYfv27VCr1dBoNCgvL8fKlSsNr2dkZCArKwvx8fHIysrqUP++nry4GMqCAshNrtF4rXdnR/rrR+SXlJQgJycHV69cgcLLC3sKCztcbqKego++1COZBp6goCAIgmCWqtTWgiTbt29Hbm4uAF2zvSAIyMrKsq8QFtZ7Nw6QqpAQpKWl2UzeAogXX+lo94BkAhoby9kqVSpEOdkSYHo9lZWVuH3uXHy1fj36RkUh0igPPRFJYw2deiTTJughQ4Zg6NChom36BUn0tUZ94DZ2+PBh0c979uyxv5ZuI0AO9PSUrF1LjWAHxIuv6PdztvUgLy8P//d//4fFixcjKysLbm5uSJ41y+p7TgsCnnjiCXh7eyMoKAhjx47Frl277Dqf6e8jJiYGgf7+GJWWhm179qCltdXushP1VKyhU4+kD5L7CwsRHR0tCpr6WumhQ4dE77FnpLlarUZubq59I9ITEqy+PPmRRyTToJqOYJfJZIiJiREtvqLfzzixTFlZGRYtWoSdO3eiZs8eJAAYdMcdkButOa+vme/ZsweZmZkYMUK3iIp+neij//sf+p87J/ri0Mpk2BMQgCU//YRnn30WY8eORUNDA/bv348GG+MU9CxNpxuclISyc+ew6+BBZKWn23Usop6KAZ16JH2TdKNMhqjwcEOTtnEzdaEd/bcpKSmG9K96dk8xc3C9dz3T5um+ffsiOzvb5n5lZWX46v33MfL//T9k6lsHfv97YPp03XK0wcGihwClUgmlUik6xn8mTMCcVasww2jbyagozD57Fut37cLo0aMN22+77TZbd8DAUheBTCZDVno6/rduHfpGRiI2MtLuYxL1NGxypx6ttr4egf7+kq+Zjiw3/RnQPQAoTPLDO2TVKl3wNmJrvXep5ml79gOA9CVLEG8yRU/YvBlYsACA7bnkO44dw0wALy1ejJWLFmHvihW4zc0NqZmZomDemfx9fTFu2DDkFBSgqbm5S85B5AoY0KnHEgQB9Q0NCPTzk3x9woQJopHipiPNAV3NctSoUaJtUoHfIn3WtKIiYO1a3X/Xr9dtN2LcHy4IAiZMmGBzBHtGRgbi4uIMPyurqpBQXAy5yeh9WVubYelSa9Pb1Go1jh8/jvj4eLTFx6M4KQm7rlxBWVkZUlJS8PzzzyMsLAzu7u4YNGgQli1bZv99aFdbX49TpaU4VVoKjVGrRb++fdFbqcTO/fsdPiZRT8Emd+qxNG1t0Gq18DTJ6a4PnsZZ46xlhZswYULHU8BaWe9dny/dOM1qVlaWZDO7Mblcjuz2ueEVFRUIuHDBehmKi5ExfTrKysrM1j8HdF0JGo1GNHhQf++WLVuGqKgo/Pvf/0ZgYCCWLl2K++67Dy0tLXjooYesntZ4RH2bXA65nx883d1RePIkpowZA2VQkC7Jz8iR+HLdOhRXVCCxE+bVE7kaBnTqsfQ1QHeTQK2f460nlTXOmMNTxIqKdCPc23OY22I6CA6wP82qcdn2ymTA++9b3jkx0ewhIDo6GoWFhaitrcXBgwfh7e2NlJQUBAcHIyUlBR4eHgB0tfe1a9caVoebOnUqRowYgRdffBHJyclWp/6ZrjQXHR+PRQsXYt/Ro1izcSOy77gDCi8v+Hh7I2PECOTt24eIXr3gY5R4h4jY5E49WJs+oJtkIpMKlh1ZGtVApQJmzAD69QNmzdINipsxA6ipsfo2qYx1zmR+G7FwIVQjR0JrElAFNzeoRo7E8vx8w9S8zMxMZGdnIysrC0OGDMHFixdx/vx5Q3dCTU0N5HI5evXqBQDo37+/aKlXmUyG6dOn4+zZs/jxxx8NU//y8vLMymV6b1VVVXBzc8OAhARoBUH0+0mMiUFUeDhyCwrsSvxD1JOwhk49lkajgZtcbrbimtT6352ROlWfFc74bMLmzbqlRNevt/g208AVFBTkVLO+XC6HcsMG3QA4o6VLa4YNw9JJk6AuKUFJSQkqK70RHDwCtbX7oNWeQlRUFIrb88sPGzbM8L4dO3bAx8fH4qBAfbmN76/Ug5Hp/ZZ7ekKr1UJVV4dAf3+zVdfGDx+O/61bh1OlpegfH+/wfSByVQzo1GO1abVmtXNAN5hMq9Wa9aFLsrf53EJWOOMBaZbeb/rAERwc7PwCKBJLl/6Unw91SQkaGxVYs+YunDmT2L5zOhISlJg790vs2rULkZGRouQ1Go0G9fX1SExMxLFjx1BSUoL49gArCALWr1+PiIgI+Pr6Gt4j9WBkPAc9Ojoapy5exNWGBjSp1VB4eZnt7+3lhcyRI7Fl925EhoXB3+j4RD0ZAzr1WBqNBm4Sa27L5XJMnDjR+lxyk0VVAIjmc5uxkRUOxcUWA3psbKxoHXLjpm1HmaV0TUhAzPnzKCkpwZo1d6GkRFzjLSmJx4oVs9DY+CdMnjxZ8piTJk1CcXExsrKy8PrrryMgIAAffvghCgsL8cUXXyAsLMzqgEHTMQiX1q5FTX09+vTqhR3796O5pQX5u3eLjhEXGYn46Gjk7N2L2VlZDq1rT+SqGNCpx9K0tZk159rN0eZzG1nhvj58GNeuXEFsbKzZwDHTFgNBEJxeptQ0e5z++JWV3kY1c6NrEuS4dGkoPD0H4bHHHkNVVRW0Wq1okJ5SqcT999+PXbt24eGHH0ZrayuGDBmC77//HrNnz3aofFqtFteqq/HT999j0IAB8FYo8NO6dTjSnrWvpKQEO3bsQFRUFH52991Ys2kTjhUXY7AdgwuJXB0DOvVYTgd0Z5rPLWSF08pkKImPxxG1GigtNdTETddhl8vlqGkfPGdr1L3kwirtwd+0D7uiogJyuRwhIdbTqr744ueYOTPVcHz90q1qtRqALo/8//t//w8TIyMdGsFvKi8vD2fbHzRyL19Gr7AwVFy9KtpHo9Host7973+YPH061uflITo83GKCIKKegqPcqcdqa2uTbHK3yZ7mcykSWeFK4uOxZv580TZ7RtlbG3VvuhSp8chyS1nmbDQgQC43GrTW3iVhnFBH0diI1N//3uER/Ma0Wq1Zut0rly4hPDRUcv9Lly4hKjwc/fr2xTZHFsUhclEM6NRjadraJAfF2WQr+iWaN10DMMsKt3fFCqzMzobaZD611MAxe9O9AtaDv36d9L59+yIuLg7l5eXIzc1FYqIW06cDps83MpkWCQnFSE83z1xnvNLcXWvWINgki5txSll75OXlGVohjLm7uSErK8tsNL1+gN7otDQ0qtU4XFRk97mIXBGb3KnHamtrM0sqYxcnF1UxaM8KN0KrRVNeHsrLyyEIAmQymaEP3ZSl1chE2kfc95PLYTzpzjj46weg5ebmGvrS9c38q1Zlms5oQ2JiGe6/fzO02n6ifnvj4KusqkKiRKuFPSP4jUnNtwd0gwAzMzMxduxYvP3uu1A3NiIqMtKwupyHhwcmjRqFH3JyEBMeDmVQkM1zEbkiBnTqsZyuoQO65nOT6GdrURVTjmSYs7qvyYj7dACJI0di0wMPIHzAAF3wN5leJ1WLz8zUNSCsXLkX69adhlKpQkiICi0twPbtl0RlMH6/0lazupUR/MZM59vL3dwwKCXF8PByprISvfv2xd0zZ8LLJF1veK9eGJSYiO379uGOyZM56p16JDa5U4+lkehDN14EJTc313K/rJ2LqtwQ7SPuRcU7cAB3f/MN3OvrcWHIEFHf9qV+/eBuMtDMuBav1Z5CUlIxQkJUon2Mg7jx/iob17xXpbKrf9s0CAcEBaF3VBTkcjkampqw6+BBTBgxQhTM669dQ8WFC2hra8PIwYNRd+0azlRW2jwXkStiDZ16LI1GIxrlLrUISllZGeRyucU85NYWVbkhrI2437gRUSdPoo9JgAsrKsLtTz+N7998Exp/f7MmfKlMeQAQFRWF3NxcVFRUICoqCpmZmTh8+DBUAIoTEhBfUiJayU0/gn9dcTGa8vJstkaYzrf39PDAxaoqAMCBY8cQFR4uWg+97Nw5bNixA1qtFvOmTUNYSAhGpaZi96FDiI2IgIezrS9Etyh+4qnHatNqRTV0qUVQjIP7jh07AACRkZG455577G6utzaNrMNsjLiPtTAa3repCRPfegvhp06ZvZYRFgaltzeKAdSHhRn69gVBEM1hz8rKwhNPPIG8vDzsDwuD8uOPoSwoMBzHeAS/PbnwMzIyRCu9Xb54EY0aDTRTpqBRrUaf9rzxeqfLyzF0wAAcOnECHm5uhoeNqy0tOHTiBEampNg8J5ErYUCnHqvu6lWEGjUX2wo6Go0GgG7w1sqVK3HvvffadR6pZC4Orc5mja0R91aEFxWJB6y198XLN2xACoAUQJT9bvny5aL36+ewZ2ZmApmZwKOPGlLK7lWpsM5o+p49ufD18+2NadRqXKmuRnlxMUqPHUPNxYvIyMiApq0NRw4dQoCXF+qbmnBg/37sbH/gAoDDnp4M6NTjMKBTj9Tc0oKK8+cxYvBgQ83OtJ83KCgItbW1ku+/dOmS3edyZA65w5KTIUybBmHzZsiNyq+Vy1EZGYlYW/3JxgPWbGS/M22KlwzSJiP4HV0jXn8OZVUVlDU1cE9JQd6OHbjQPgL+0sWLAIDa+npcvXIF+pEAx48dEx1HbjT7gKinYECnHqn07FkEBwbiaGGhaC3uuLg4Q5/5uHHjsHPnThQWFprNjzZepMQWuwJhB+x68kmEnTkjmjpWmZyML+64A79YtcpiszsA7KmuRuO2bagrKMBcK9nvvn3jDQSOGIHMzExUVlbaDNIOrxHfLmPQIKQ884yo6b44MRGld91lmK9fWFgImUl3R1NTk+jn+L59HT430a2OAZ16pNPl5UiKjcVho8AB6EZax8TEGGrRGRkZyMjIQE5ODgoKCqDRaBBpNAfaHnbNIe+AkpoabM7OhrK6GkqVCiqlEinz5mG0TIb8uDj0+f3v4VlfL3qPFkBJQgLWnzkDnDmDxNOnrZ6jobAQhY2NyMrKQnZ29vXjaLXYvn27IclMSkoKMjMznR4jIL/nHgQfOCDaFn/mDO5avRor289bU1MDf5O55mq1Gv6BgXB3d0ea0VQ3op6EAZ16nIamJpy/fBkTR41C7aVLotqzVqsV9XcLgoCsrCxMmjQJkyZNcup8ztZW7aVvAVCFhEAVEmIYwKYPsntXrMC4116DbOdOw3tKEhJEKWdtTT1TKZUAzLsLcnNzsX37dsPP27dvd/56LYzYlwsCEs+cgbK6GqqQEAC6KYeenp5oaWkx7NfU1IQHH3oIYRZSxRK5OgZ06nFOl5UBjY34Zs0aw/QrfTPyofZVvfQOHz6MrKwsp8/VpSPc25m2AOhrzXpbamrQ9vLLyAgPx7HvvsOB+nqUeXiIjqEKDZWceibI5TjTt68hkLa1teHtt98GoKuNG6d/1XN6jICNEftKlUpUDoVCIQrogiAgpDvyABDdJBjQqcfZtWsXrpw9C+D69Ct9M7Lp4iCOMg7gUVFRKC8vN6Q07fQR7u1Ma8Smo9GB9hHpmZlIefZZDNJqse/zz3H10CHUhobiaHMzAGDN/Pm4a/VqcRrXKVNw6cknEV9TY7Zs6vbt283yqwMdGCNgY8S+W//+QPtgt5bGRvSJjUW9UVeCMizM+eVwiVwAAzr1KLX19ahTWc6AlpKSIqrdBgQEOLT2uNQUNUvn6ipSiWEMQValgnzhQqQbpawd0b8/vrjjDvg0NGDP6NHYNXYshg4ejJQ774QsKQnjAIyD9IOCQqEwLKEKwGIuertYyZF/LiUF53x8AKMMd3K5HLGJibhWV4fQ3r0REh7u3HmJXAQDOvUop8vL0TssDGeNMpIZ1ygzMzNRUVFhqImWl5fjH//4B6KiorBo0SKbyWRsBeyoqCjnC2+ncePGobS0FOfOnYO7uzvS09OvB1mJqWkxRUV44u234Ws0UlyYNg146CHRcaUeFNLS0iCTyTqvS8FCjvx9ixbhmsm5Y2Nj0SSXI6J3bzS3tKDBZKQ7UU/DgE49hiAIKCotRUtTE9zd3c2DHSwkN9FoUFZWZlcyGUtpU/VuxKIhO3fuNDTzazSa69dkKU2sVisK5gCALVugmj4dPz35pCFQZ2RkiAbbpaSkYMKECZ07JkCfI789QY1+MZn6zz4z2S0YGRkZ+Ck3Fx7u7rjW2MjmdurxGNCpR9BqtVi/cSPOFBZCaE/AotFosGvXLgAQTbWyFJQvXbpktmqZ6TkEQUBw+8CswYMH48iRI6LkNJWVlV0+UM5iIhsbg86MydraoCwoQG1BgajvPysrq0ODBO1mkiPfNM97Wloa5HI5vDw9oW5pgUajgafJCmxEPQ0DOvUIeXl5KNizx2y7RqMxm2qlr7Hn5+cb+ocVjY1YtHo18PvfX3+zUVpU/Tlyc3MNL1dWVprVyGNiYro2FSzMH0jOnz+PlpYWeDqRJlY/stxWV0JXP6TouxEqKirg5uYGrVYLrVYLH4UCTWo1NG1t8OViLNTDcflU6hFMF10xZRyw9MH9qaeeQlBQEORyOX7+/feIOHFC9B5h82ZgwQLDkqt7TB4YysrKDBnmgoKCkJWVhYyMjK5NBQvdA4nx6HO1Wo3//Oc/1wedOdA0rZ9/bmvkuv4hpaSkBDk5OcjLy3Ou8BbouxEEQTA8hOXl5cHL0xOnjh3DkX37cPLYMbuWaSVyVQzo1CM0G81XliI1WG337t2ora1F0OXLiDt5UjTyGrieFnXfqlXIycmBd2UlEk+fhrK62uJ5Vq5caRZ0OjsVrFwuF83PBnB9eteqVZBNmSJ6rcHbG6ZhUJDLoRo5EkEjRxoeRKzp6ocUqeNVVFSgvLgYFWfOoLa6GsUnTnT6gwTRrYRtVNQjqG0EdNOmcY1Gg/z8fACA0iSPu6mqTZuwaMcO0fztkqQkfDVvniH/uFqttpgz3plpXraauAMCAkR99wEBAbr/MRp0tuX993G8pQWNPj6S88+VX3yB7PbuBH0rhKXzdXW+eqlxDVFRUThtMi7gRkwLJLpZMaCTS9MHvmsmucxN7d27FzKZzBCoVq5caeg/t5UWddDWrYhuT1SjF2eSf9zLy0s0X1smk4lyojvKVj/8Y489hvfeew/19fVwc3NDSkqKeD59UhLc58yBqv0YK7OzMTMxEelKJZCYCJnJgD9b5+vqfPXjxo3DwYMHUVdXZ9h2taEBkZGRuHDunGFbZz9IEN1KGNDJZWm1Wixfvtxm/zmgywOuD1iZmZmi5VEtpUXVymSojI6WXM1MrtUi8cwZpPn4IDg9HaWlpaJgJBgdR19WRwaV2Wri9vT0xNChQ5GTkwONRoO8vDy4ublZDcIjMjIAC+c0PX5hYaFZWUUD+6zMBnDGzp07RfcPAI4fP47HHnsMJ86cQai/P6quXsWo0aM7fC6iWxUDOrmsvLw8q8Hc3d0dGo1GtE0fuMLCwkTvlUqLWhIfj4NDh1pdntS//cHAtEnf9GdHR77b08RdUVEBpbIKSmUNVCqlWVB2ZBEV0/PV1NSgpqbGvKwqFbBwoSgxjOlsAGdINaW3NDdDJpNBLpfrFmvx8MCFy5fRNzra6fMQ3coY0Mll2epPNQ3mAAzToRYtWoSVK1fi7Nmz0Gg0UHt7Y2V2NqbHx8P3wgUUA6jw8oK8uNjqOY63tECVk4Mgk+U+TWvojg4qGzduHMrKynDp0iWEhYVh3LhxJnuocNtt70CpvL48rEo1EsBsAI4HVuPavD6YS5ZVIhOdsHmzLvvb+vUOn1dPqg/d3cMDP61bh6tXrkCfEHZbTg76dqArg+hWxlHu5LIs9aday9ZWVlZmyFkeFxeH6OhoxMXFIVWhwLj6ely4cAGqUaNwx9NP48knn0Tq/Pk4l5ICrUlTtVYmQ3FCgmF1MOP+c6kymJbVVl/wzp07UVZWhqamJpSVlWGn0dKoOgsRHCxeV1z38wKrx7VEX5vPzs5GWlqadFn1megszAaAjTXXrcnIyEBsbKxom5enJ0pMHqguXbqEltZWp89DdCtjDZ1c1rhx47Bjxw6zmrhMJjOrIRvTp3ktKytDn7NnMfvHHxFx8aLh9eKEBHzwy19iwNixuv7j3Fyopk+HsuB6bfjCoEFYc9tthp/Dw8NFTfimwcnRQWVSNXp9P3xNzR7MnbsBps8tMlkbgA0ATgNwvF9bf/zy8nLExcVBJpOJF2OxlYmuuNjp/nS5XI577rlH1GpyzWihFj13uRxnKiowwIkkOkS3OgZ0cll5eXkWm9X1FAoFwsLCDLnP9WpLSrBo5UrxVK528SUlmPLRR1jZPhUuMzMTQfn52LtqFa4ePAj/oUMx7Oc/x+idOw0Bety4cdhp9LNpwHakPxuQ7kPX98MnJtqqCRdDKqDbGphn3M8PAFlZWeIy2wqiiYk2ymWdvlXCmsarV7EjL48BnXokBnRyWUeOHLG5T58+fRAdHY1Lly6JmsXnrFqFOAuLrMgFAYlnzkBZXY3du3dDEAQIgoCzWi1i5szBCKlR34DkKHBtfDzyLl40ZEEzrvVaG+WuXyilsLAQarUahw4dMrymUtnqI5cOrLYG5tns57ey/KlsypQOj3a3d475pfPnca2hAX6+vh06H9GthgGdXFNREWKPH4fM0xOqkBAoq6qgrKmBSqk09GsDwIULF0SLfgCAsqoK8Xb09+rznBvnb7c5Qt1kFLgcQGRCAvLnzzckodGXx1qNXS6XQxAEQ/IY44cRlSoUxcUJSEgohUxmnAPODcAUWGputxWw7UoeY2H5U6xaZfFa7BUdHW11JTu9ttZW/Lh2LX7xs591+JxEtxIGdHItRgHzjvZNDd7eouVBixMSsKY9gJoOVgNsZ4YznKo9z7mp8vJy5OTkiJYZ1Qfn2hkzELR/v2g0anxJiSgJDWC9NqpvGtevFGcsODgYwcHBuHRpCRIS3gGw8Xp5VcMQFLTSMNXctIndNGCaBmy7+vktLH/aGSyNe4iKisKFS5fQZjQYrryiApq2Ni6pSj0KAzq5FolpUz4ma31LBVBjtjLDaQGUGI1gN1VTUyOq9W/fvh0AULt3L+40GjinZ9yErz9mW1sb3n77bQBAamqqaN1x075sY2lpaUY1+9nYu3clTp9eB5VKCZUqBHFxPyI7OxtyudysiX3ChAnIysrqnH5+k+VPO8NZk2x8gG4mQnZ2Nj5ZsQJnje65b0AAisvL0T8+vlPLQHQz47Q1ch2Wpk2Z7GYcQPXc3d0NI8/1meG0Fqa3lbTX8KWmvykUClEOdb0jR46g0UaffnRzMxQKBYKCglBeXm6Y752bmytadMRS7V004rzdqVNaFBcnQaXSPSiUlZUZjmV6nLNnzxqmphmvD3+zkGril8vlkMvlmD5tGgJ690ZcXByCwsKQkJyMwpMnrc5mIHI1N9dfLFFH2Jo2ZUKpUhn+f8yYMVi8eDGysrLg7u6ONfPno8SkdncpKgofPPQQVmZnQ+3tLRksvNv7waXYqvlXtud7l3og2LNnD3Jzc6HVas0CW3BwMLKysrB48WKzIGwpg5zUa52dB12/oMvy5csNZe+IjIwMxMXFmZ1Dq9UiMiwM0fHxGDp6NMJCQnD84EFcqKhA+fnzHTon0a2ETe7kOhycqqTvA3f39ERZTQ32HD6MIcOGIT8/35AZTlldrRv81j6YTqFQIC48HHV1daJsaYAusKampooGySkUCqSnp0MmkyG3psZyTvh+/Sw24QPXc82XlZVh0aJFEARB1EdvaVR8RkYGysrKRNO99IG7qxdUcTSdrS1yuRzZ2dmi/Pz6FofMzEykJCdj0+bNqNYH8bo6bNy0CQ/fd18HroLo1sGATq4jORkYPx7YscPqblqZDCXx8YYAOm7MGCQNGIBjxcX43/r18PDwuL7SWkiIKNDqt5sGbkDXf62fTqafMqfv/wZ0CW32h4VB+fHHoiQ0JfHx2HLvvUBzs2FbYGCg2WIkAAxZ4WQymeGBYvv27Rb7t+VyuSGNrWmaWEfnvjuqK9ZIl8vlZl0d+hwCCTEx+NZkVb3qqipU1dQgtAN55IluFQzo5FqefNJmQC+Jj8ea+fMBAP5BQRg/fjzc3d0RGRaGwpMnkVNdDUhkIdO7ePGiWfO0l5cX8vPzUVZWhujoaMhOn4aypgZHiotRXl5u6JdGZibw6KPYu3IlTq9bZ6j5Txg1CoqKCly8eBEKhQJNJgP5jFVUVMD/wgUknj5teL+1YGmckEX/QNCVgVyvq9ZIN+3qqKmpgVarhbubG6Kjo3H6xAnDawGBgTh86hQmcRU26gEY0Mm1mPSxmvosOxulRk3zV2tr8eO6dZg7Zw4AILVfP1ReuIBLPj5wFwTU1NSY1ZQVCoXZiOvm9tr1xePHkfHyy5hkNI+9OCEBu0NCMG72bMO2EQsWoCkqCtqKCqTGxEAQBEPQlZpKZzh3YyMmvv46oo4eFR3/0pIlkpneAN1Sp8bsmRJn7zKu1nRVk75pDb22ttbQ7H77bbfhgytXEOTjg8DgYFSp1ThdXo701FT4+fh0yvmJblYM6ORa/vIXCDAf2S4AOJOQIArmeseOHsWYMWMQFhoKmUyGyWPG4Ku6OvgYBVljgYGBkqt/AcBda9aYZZiLLymBxzPPQDtrliE4mjZ36xeEMeXu7g4/Pz8EBgZCLpdj8htvoM+xY+Ljl5Yi4Z13sN3f36zPGoBZX7+1mnJn9nvL5XJkZGQYHhDy8vI69ICgFx0dbZYMSP+Q4ufriyHDh8Pd3R0TRozApaoqbNy5E8UVFRjSv3+Hzkt0s+Mod3Id+mlrEi/JAGydNEnybZqWFqz83/9Q0N7v7a1QYPKYMThtYdS84O6OcePGmS2JqqyqQuKZM6IBb4BumlzsyZPYZyVbmqUgO378ePzf//0f7rvvPiwePRqRR4+aH1+rhWzjRtTs3SvaXlFRYVYbDw4OtlpT7ux+b/0DQklJCXJyckTT75wlNV3Q+P6lJCfjVGkp1M3NCAsNxc9nzcJA5nanHoA1dHIdNqat+TY2Sm5XVlUh8tw5FKnVGNK/Pzw8PBAZFoYgf39cbmgw7KdQKDB8+HBcUaux79gxBAUFiaaY2cowdyEvD9oFCyyORgcgmdPd3utLEAQYN67rg5xxbT0tLU10ftMm9qioqE7t9+6KgXGVlZWin00fUnopleilVOJESQmGDhgATw8PCILAzHHk8hjQyXXYaMptM3ld0diIu9asEa+otnGjLu94cDB8TeaU9+nTB1OmTEFJZSX2HT1qVlO0Nc+8wtPT0NdrXnQ7RpzbqGUOSk0FDh/GGZkMwenpoiBnqR/btIk9MzPTarY4R3XFwDjTY5o+pADA4MRErF2/HkcKChAbG4tekZE4fuYM5k6ZwqBOLosBnVyHjcQlbiav37VmDeLdzgAzoFtRtBi6tLELFgDr1yM2NlbUV6vPJKdtr+2Zvt4YFYWzgwcj4tgxs3nm+mlyHaqhWlrNTC6HLDgY8pkzkQIgBQCmTwdSU4HgYKsPCqblqaysRLaFlLim7BlA1xUD4+w55tnSUtRcvIga6Ba78fTygn9UFPIPHcL44cM7XAaimxEDOrkOGzVYrUxmmOrl5d2ExH+3B3O99YBsQZtupbDTp80Cx7hx45CTk4N9hw4hJjoa42bMECVtUavV+GnRIkz+8ENRrd94mlyHa6hSq5kFB0OorRWNHTB+MLHGVg3aWtC2ZwBdV8x1t+eYps3yLc3NqKusxBE3N0SGhaFvVFSnlonoZsCATq7DQg1WK5OhSaFA9ooVhm3qrV6AacVuCoBVAGYCKC6GPClJFDhyc3MNyWRO1NVhZ2ioWY202cdHlGFOExcHJCWhj1SfuDNMVzNzcwOmTzcbCChru/5gYm2RFFu1XWtBuyv6x51h/NARFRUlSrpjTNPSgubaWvzvyy+RPmzYTZmvnqgjGNDJtUjUYJsUCngbz+1OAhQTm83f6w5djT0RumU/TZhOYSsvL0dsbKyohpuamgqZTIbCwkIU64NKWRmysrKcrqlK1pKTkqBNSMCxN9/UNbFbUlwMJCVZrGnbqu1aC9pdlTjGXvprKiwsNARwW+ul112+DMB6dj2iWxUDOrkWoxrstcOH8eP69fjFhx+K97E1g+nnw8xqtVqtFiqTRVMEQZCs4crlclRUVIhqiaaB0ZEELpZqyXl5eThcWWk9oLc/mDg7v9xa0O7qXPC2WFtG1h7d1aJA1FUY0Mk1JSXBLykJMe0LmIjYWpTtmfdFP2q1WmzJz4dGYtBdXl6eYaqZPqd4RkaGzdqrIwHWUi25oqLCsNSr6YIvgpsbZFOmGB5MnG0etxa0u7uGa881xMbGGn4vpiIjIzu7SETdih1I5NJGL1hgvvE0gPUANOLNglYOQZgGBI64vk0QkLN3L6prazEkRVwXFgQBOTk5KC0tRVlZGUpLSw3JUzIyMpCVlYX4+HhkZWWZ1V4dCbCWljnV/1dqqVfZlCm66Xc2jnErk1pGdsKECcjMzDTcd/3MBFMRajWSy8t1YwyIXARr6OTS5P37Sw+UWwg0fesN3wnXF0GRyadCNypORxAE5BYU4FJVFW6fPBkFe/aIji21GhqgC862aq+O9D9bqiUbbz83cybiw8MhLynRNbObdBk42zze2UugdiZL3R3GTFPqSuYemD7dkHuA6FbGgE6uT2KgXG3iSCxdOwk+hY1QKlVISpqJ9PRForftOngQ5y5dwh2TJ8PX29tsKpSlRVTsqf06EmCtLY1qtr1fP4eOYYsjLQmdubCLPey5pujoaNGD011r1iDeZOCcvVP8iG52DOjk+kyneiUmIighAaMNU51iMGKEOKAWlZWhqKwMd02bZlily7RWrVAozIK6QqGAVquFVqu1Gsy6u//ZXo60JNyMtXnjpVb1ufZN2TvFj+hmx4BOPUdSkuELWw7Lwaamvh55+/ZhypgxCPDzM2w3rVVrtVps375d9F61Wt2lU6JudC3YkZaEm2VeujHjZW5t5drXT/EjulUxoBMZadVosGnnTgxMTESsySho0yCtr4Xrp6hZm6bWWW50LdiRB5PunpcuxbhMtnLtS+UeILqVMKATGdl14AA83N2RnmI+u1uqdqwPdrm5uaI50V0VzIwfFJRVVdD88AMQEdGhmqUztX6p90ilys3Nzb1hrQlSMjIyDIlnLE3x08pkqBkxAsEJCZz2Q7c0BnSioiLgzBmUKRQoqanB/OnT4SaxIpe12rE9TdOd0VweExOD80ePikdq//OfDo3UNi2HIAiGlLb21vot3QvTVLnd3acul8uRlpZmKMea+fNx1+rVor70C336YMWkSRhtYSU8olsFAzr1XCoVsHChYfR7HICfZ2bCZ+JEwNfXbHdrfcT2NE13RnN5RkYGUp55BkFGq7wBjo3UNi1HsMlDgD3dBfb0l98sfer6h6s9e/agCcBPs2bhoQ8+gE+zLv1v5PnzeOLtt7GhVy+AAZ1uYWxhop5r4UIImzeLNnnv2AFIJaNBx5OzdEaAkxcXQ1lQALlJ1jrRSG0Hy2HKnuuy517cqGQ2Wq0Wubm5WL58OXJzc6E1uTf6h61Ro0YBAB788EN4N4tz+fs0NWH2iy92SfmIbhTW0KlnKioCNmxwaJUy42b1qKgoCIKA5cuX29183imDxiSmXYnYMVLbtBwpKSmGwX32Jp2xp4vhRuV6t7flIyMjA8F798K3qcnsNRkAz/p6YNMmYOrULiknUVdjQKcep6GpCRUbN2KAtZ0kAqNxs7oz/cOdEuBsrPluz0ht/Xn1OegrKysRGxuLBQsWYOfOnVi5cqXNhxR7uhhu1Fx7e1s+5HI5Bjc2Wj1W6apViJ08mcuq0i2JAZ16lPLz57Fp5070Uyqt72gjMNoTRKyNindacjJUI0ciaN8+q4uxWKMPtMYPJaWlpTh06BBq21eUu1kSw9jDkZaPoz4+SLVyrDyNBhUcHEe3KAZ06lH8fXzg6eEBbWwshGnTgC1bRDne7Q2M9gSRrpozHrRuHWpnzoSyoMCwzXQxFnuYPoTUmiwPW15e3u3TzuxhqeVD6oGqRBCQ7OUFr+ZmUXeLAKDR2xulCQmAhdXZiG52DOjUoyiDgjBv2jSs274dGx5/HFMFAW6bNhlerxk2DEErV0IOGDLBHW5fgjUlJcUQkLVarWF0eGpqqnnzeVERND/8AGVLC1QhIQA6b5S3PCQEyr17RalsnZmHbvpQYkqlUqG0fTT9zVxjt9S0b/xAdf7oUaQ88wzmGj0EGWv09sbShx8GAGg0Gsl9iG52DOjU4/j5+GDu5MnYtGsX1jz1FKKzs1GyYQNUSiVUISHIOnoUmZmZyMvLM8zPBoDt27ejoqICdXV1oqxwMpnses3VaCrcZACTARQnJGDN/PmdP8rbKJWtM4xrtlqtFmVlZaLXTVeTs/uBpH1ev7MPGp3FuLx3rVljNtVPC6AmOBg/zZ6tq5m3a7Cw6A7RzY4BnXoU42bY6OhoNLu7o6CuDjVGgaewsNCQztWUadADdE3TBu1T4Yybc+NLS/HQ1q0IeuWVTrySjjOu2Wq1Wvz73/+WvGY9mw8kJvP6ATi8NGln5qqPiYlB7d69iC0vl1yURQ4gpKYGdUFB4jLI5Whra5NMLkR0M2NApx7FtF97zNixaDP54jbNy26LYUUvC1Ph5Fqtrr/7zBm7a6zdsRSpcUY1PYVCgYiICPtG5Us8zDi6NGmnjTtQqTDhlVeQuXGjzV2VKhWaY2MBuRwxsbFocXdH6dmzSIyNdfy8RN2IAZ16FNNm40sXL2LW9OlYv3Ejgry9cfHiRdGSqAqFwrBMqiAIaDZJSALomtwBdMoccb2uXITF0sNCRkYGSktLRS0Oo0aNQlZWlu2DOjGvX0qnZZdbuBDYssWuXYWkJMQNHozBSUk4dPIkBsfH4+jp0wzodMu5+YasEnUhqexlyX37Iio+HqkjR8Lb21v0ure3N4YMGQK1Wm0I5gqFQrRPrP6LvxPmiOt1ZdpU/cNCSUkJcnJykJeXB0BXS1+8eDGysrIQHx+PrKwsTJgwwb6D2vMw085aZrdOyS6nf7gwmr0gRXBzA6ZPx93PP4/a+noUnziB8hMnUHrqFC6rVLiiUjl+bqJuxBo69ShSU5xkMhlGpaZi486dGDhwIHbu3GnYPzU11SyY9unTB7GxseYJYpKTgenTdc3MTkyFM9aVS5F2JCe9xa4ABx5mpFofMjIykJeXh/LycsTFxUEmkyE2NtZqM7/Fsth6uGinn+rn6eEBT40GpevXI6qmBmfLy+E/ahSOFRcjKz3drmMR3QwY0KlHsRSwosLD0UuphG9QELKyskRLgK5cuVK0b2xsrOWgt2qVrs/YaGCYM3PEuzJtakceFix2BVh5mMHkydh+/jwq8vMRExMjHkQI3TUaHxcAsrKynF/sxtbDxdKlukVY9A9YKhUmvfIKoo4eNexSvnkzcp55Buq0NCi8vKwfj+gmwYBO1C49JQU/bNuGhbNni1K8Go9sj4uLsx5cg4N1A8A6OEe8K9Om2npY0DeJHzlyBICulWLChAmGfO/GRD9beJjZ+cQTosAbFxcnOkZMTIzZcQsLC20OBLRYFlstJQ8+KD7QwoWIPH5ctCn61ClMf+89nBwzBkP697dYBqKbCfvQidqFhYYiKjwcB4y+3E2Dhlwut2+0eVISMHNmt87DtkT/sJCdnY3MzEyz68nLy8P27dsNo/1zc3MN/exW+7j1DzNFRcDatbr/rl+PEpMZAzKZTNRPn5GRYXbcmpoawzktsVqWVat0wdvI+YEDsfOJJwx99lqtFntXrND1t5uu0KbVInzfPhz+6ismmqFbBmvoREbSU1KwZuNGpPbrhwA/P7PmaX2A65Y0qKUbgKo9QK8xQJx9K4I5M/3N2trmxrX76OhotLW14e233wZgVJM3SXhjeg+luizGjRuH/Px80QwDWwMBrbY0GLWUHPnmG+ScPavL2Ld/P1r9/CCTyVBYWIiQvXthrZfc7dQp/LRuHe6YM8dqWYhuBgzoREaUQUGIj47G/mPHMHHUKGRkZOhqcnv3Qq1Wo6amxtB8fMPSoNacAc6MAkZUA33bt+0LARILgKC+Vt/qzPQ3qZSw+tqv6YpzxrXo3NxcyGQys+PbMx5g586domAOAJGRkVbLabFbwiRT3aE+faAyWjL18OHDhjwDMhsJb1RKJc6eOPH/27vz6Kju+/7/rxntLJJmJJAQIAktrGIHAcZCwgaDl9iJIf0GiOLEJ23cxm7qX5yTpWn6bXO+35PF3zaNkzaNk9QukXESY8f1hgy2EQLMbpAwBqFd7EgjIQMSSLrz+0OaYWY0Gq1ouTwf5zix7tw78xkZ+3XvZ3l/9JkHHxyWdewBT/wJBXwsyshQaVWVHFeuuLvYfcNmIJeRdatsiZzz6rwOOefV6eYn87yWfPnTl+VvWVlZWrFihWw2m2w2m7Kzs/2GcFdP8r7L0iS5u/hds9l9l6z5ey9XDf0ecziktWuladOkBx5oH0tfu1YpAULbERur0tRUGRbvFfSGxaJzEyZIkpqbmrRr167etQUYAjyhAz6ixo7VtJQUHSwu1pq77/YbNgNel70rFfnSorrOBVuCpdBljTr2P/+quQ9/s8vL+zKj3Wq1auXKlVq5cmXA87p6kg/UK+D72rFjxzR37lxNmjSp03tduXKld8MbXVSqu8vpVOv3vufuIXBtuuPy+he+oEdeftmrPKzV6VTC+fN66rnnVJqaqtdbWmSxWIbtjnOARKADfi2cNUsvvfmmLjkcnYKr25nuA6l2/61udj+cl/ZK6jrQ+7P8LdD4u2EYcjqdio6OVnNzs8LDwzVnzhw5nU4dOHDA6308b4h8b45cQxjZ2dkKCwvrVIlv586d7tAPGKaBKtW9+66yf/GL9qVqHW2vrq52r164GhKit556ShEff6wvvfiiwm/e9HqPlLIyPfLyy8oLCZE0PHecAyQCHfBrdESEMtLTdbCoSPd3VEsbkn3BY5cEfNky/q6Ar/dn+Vt3T9qeO9EtXbpUkjrVgpe8ewW62rK1pqZGmZmZfme292jeQg/L7rpuUi5evOj18o0bN/TZ/PxOYS61j0umlZXJXlfXaQ09MJwQ6EAX5s2YoZfeeENnff7jP6imrJEOxcg5r04Wj39bna1Sy8FIzX7o6dvysYZh6OjRo17Hjh496r6p8VccxldERISWdEwsdHH9/bFjx7w2wPG3Ft1XwNd7WKnOt4CNS7rTqaRuPt/ucKjVtREPMAwR6EAXIsLCNHf6dL31zju6WFMje22trPn52rx9u5JXr3aH023fFS3toCxHF7fPcu9gORqj0BkHpdvUU1BYWKiGhgavYw0NDWpoaOiyOIwkr6fvJUuWdHqidvUYuCbHVVdXa9KkSXI6nZ12uHNtiuP7GX71sOyu701BcHCwxo4dqynXrnX93h0cdruiLL6d+sDwQaADAcyZNk17XntNmzZv9po0Vfryy/rwZz9T69ixXXZLD9gWqNFTpEW1UuV26fKH7evQF/VsHXpfdfe07CoO41qPbhiGampqvIK+qqqqy0ltrt3dCgsLOz2t22w2zZ07V8uXL9eePXt6Pv7fg7K7vl3+ra2t7UVsams1L8BbV02eLEdMjOawAxuGMQIdCCA0JER/8eqrivMZ900pL1fE976n97/1La/jnkE44FugJq/ucUGZ/upqrNvFszhMQUGB13h6cnKye8JZRUWFJP/fu6vub9dSua6u61IPyu56ThL03PfetXwtpbxcVp9u9WsREXp540aFhYUN3mRIoA8IdCCQkhJN8BlLltqXNU0sLtY0q1WesefZLXw7t0C9XVy9ClVVVUpKStKVK1dksVg0e/ZsSdKZM2c6PS132mPeZ86B60ndt6eiq99Hd0vruu358KlU58m3MI7nDcXW9eu17pVXvHpiqhIT9fKGDWqOiJBu3tTOnTuVk5PD0jUMSwQ6EEg3s6cXRUeryWN3Ns+gu51boN4ufdn1zPd7xsXFeW1o43Q6/fZU+F7n6mrv7ik4YM+HT5W4QDyf1g3DUGVlpfJyc2Wvq5Pd4VBDbKxqPYvSOJ0qLCxUTU2NcnNzCXUMOwQ6EEg3s6etU6cq2yc4PJ9ye7q391BztXn//v1ex3taWc51rmvLWc+x765mxPtbI9+TkPTb8+FwSBs3eo2fa82a9vHzLirFeT6tG4ahn/70p2pubpYjJkaOmBhFR0crZ9487d+/X00epWMrKytVWFjIenQMOwQ6EEjH7Glj+3ZZPcqsGlarrKtX+30K7PlTbomkMklpkoZ2V7auxrN7WlnOX/12V7e402dM2jAMGYbR5zXyfns+uqgSV79mjd566qlubxisVquWLFniNRdg7ty57vb5/m5GwvAJ7jwEOtCdLVvUsGaN7AcPug/VL1yoGI/Z0566Hzt3SNoo6dbTpMOxWNu3P674+BlDUl7Ut43+1pD3hu8NQnR0tHsZXH+fcDs92cfFdVklzn7woBoOHuzRpMQVK1bIYrF0Gj7JyspSZWWl1zBCdxvHAEOBQAe6Y7Mpet8+HdiyRY1HjuhsVJTm/cVfKKaLrtzux843StrhdSQ6+pAWLnQoLy9X0uCXF/Vts7815L3h280+kJvb+HaVf/zss5od4Hy7wyFHTEy3n9lVj4HValVubq4KCgpUXFysq9ev63J9vbuXARguCHSgB6xWqzI3bZI2bdK5S5f0VkGBJsfHyx4d3encruqnG4ahQ4deUmZmfqdrrFan0tLKZLfXDUl3bn9qvvsyDKN/RWJ6obCwUEU1NQED3WG39/szXbvuub7XyePHtfnqVSbHYVgh0IFeShg/XnOmTtV7+/bpc6tXKzgoyOv1rp70CgsLdansdWVmdv3edrtDkyYN/mz4/tR89+WvypzNZtO8efMG5IbBk+vm51x8vOIvXPDaD9oZFKT6BQsUvXix5gzAZ/reaDE5DsMNgQ70waKMDNVcuKADRUW6a/78Hl1TXV2tFS/tlx7v+pyEif73Hh9J/PUweBaiGTAOhx587jmvuQ2eLKtWyb5li3ID7IfeU4ZhqM2jpKwLk+MwnNBXBPRBUFCQ7l22TCdKS1Vz/ny35x8sLpYqK5X0Xo20TVKrzwmt0tnSNDmNVOXl5amgoECGx6z6oWQYhgoKCrR58+Yetcu3a/u2bTe7caNsR454HXIGBUkLFrSvR9+2rcsla73lWoboayTUFsCdgyd0oI9skZG6e+FCvbtnjx7Mzlb8uHFdnnv89GmtGD++/YcNkrZIWutxwg7pwBuLVTS+ffvQASkVO0B6W8K2r+vLeyXQ/uc+IT8Q/IW5xWIJWK8eGGwEOtAP01NS1NrWprcKCvRQTo7iYmP9njfOZpMxdmz7Dw2S7lf78vM0SaXtf515yvva4dKd29sStgM5Ht+lHu5/PlB819K7jlVUVASsVw8MJm4pgX7KSE9X5pw5equgQBfr6vyeE2u362xUVPsWn65JdKWStklGmUWlqalyxMR4XTNcunN92+GvXb3tlu8vY8qUwCd07H/eq/cM8B0s3Wyb6u8JHhhsPKEDA2D21KlyOp1684MPNHf6dGWkpys8LMz9+phRo3Sprs7vFp/lKSnaun69pPbxZqvVOqAzwfurJ0vafLvl9+3bJ0mKj4/Xpk2bFBw8sP+pKbx4URP97I7mu/95j3TUfz/kcGhnaan7O0i3nrqTkpLcT+L++HuCBwYbgQ4MkDnTpskeFaUjJ07o6CefaMqkSYqOjFTUmDEqra5W0oQJnbb4fPvsWbXExSmhoeH2jTf3U0+60H274V1rzisrK5WXl6fHHntsQNtUXV2tfX52R/Pd/zwgn/rvmZLsqanaun69miMi3N/JVarWZrO5n9qvXLni9VbdPcEDg4FABwbQpPh4TYqP18W6OlWfO6eGxkZVnTunpuZmpSUl3TqxY4vP+jfeUE5mpibGxQ1dowdAoP3Tq6urB3zimOvzXLuj5UyapNmf+1zvnsz91H9PKS/XuldeUV5urntoobCwULt27Qr4Vkme/2yBIUKgA7dBXEyM4nzGxP252dKi0JCQQWjR7eWv3rmLYRju7viBmjjmNQyQk6NZWVmSz81CwH3Tu5glb3U6lVZWptnh4e4Z7N2Nj0dHRw+b4RHc2Qh0YIg4nU7dbGlRWGjoUDclcPj1gKve+ebNm/2GujSws/Z7MgwQcLldN7Pkm4qLVdHcrIqKCiUnJ3d63V5bK3t9vRx2u2bcffewGybBnYlAB4bIzZs39enly3p161ZN6Si+4gqG/gZsb/V2rbk/rlB3tdswDK9w95wdPxjfL+Byu272uXfVf5fax8dzcnJUXV2t5MhIzfw//0cxHtXpWk6caC9mM0BFbIC+ItCBIbKrsFDX6up0ra5OVR3B5wrRgQjY3ujtWvOueD45t7a2Ki8vTxcvXlRcXJyWL1/uPm8wvl/AXe869rl37tjRXoymg2GxqDwlxWsJoVfZ2rVr5fQpXBO8c6e0YUP7ZEdgCBHowBCpqanx+tkzRAcqYHuq+y1fe2/Pnj3uJ3TXbHfXkjzfcenb8f0CLbczDEMfPvmkks+d08TiYvdxzyWEERERyszMlGEY2rx5s6ZZLMrsqjpdfn77yoUBLGYD9BaBDgyRuPh41XgEmWeI3o6ADWQgt0918bc7mdT+RO47Lu1aGiapU1e8v2M96Z4PNM5eWFionYcPS+vWyZ6To5xJk9Q0caLe6ViHLkmZmZmqqqpyt9t6+rQCbJQno6REVgIdQ4hABwZBU3OzLtTWKnniRPea5Yw5c1Rx5oyiwsM7hejtCNhAbke51kBL2SwWi5KTk72e4AsL2+vY+3bF+zvW37Z63mw4YmL0QXi4otvalJycLIvFoqSkpE5zABzdjJEfamgIGPjA7UagA4Og4dNPta2wUGlJSVqxaJHCQkM1dswYhUVFacO6dT3eU73x6lV9UlamGJtNacOkNKwv14S3qqoqd0A6nU6vcExKSurRsEJPj/WW781GfX296uvrJUkrVqyQJB302ZbVERursxkZmvDxx17V6Vzj7qcMg0DHkGKtBTAI4mJiFB4Wpgu1tXolP1/1jY2yRUYqJCRE2/Lzu62B7mho0LbCQr305pv66JNPFO6x1M1Vg/x//+//rczMTI0dO1ZjxozRypUrtWfPnk7v5XQ69fzzz2vhwoWKjIxUTEyMsrOz9dZbb/n97KqqKj3++ONKSEhQWFiYxo0bp0WLFnXZXteEt4qKClVWViopKUm5ubnKyclRSkqKcnJylJWV5bdGfE+P9bd2fFZWlrs94eHhXq8dOHBAO3fuVFNTk9fx5ORkFf7N36g8JcXruGvcfbjU3sediyd0YBBYrVYlJSQoIjxc15uadOzkSeVkZsq4elWHi4ok3epOzsrK8hozTkpL03sffqjUxESFhoQoIz1dk+Lj3e9dWFiovLw8/e53v9PEiRP1la98RdnZ2Xr22Wd177336oMPPtCyZcvc5//jP/6jfvjDH+qJJ57Qj370IzU3N+u5557TQw89pK1bt+rRRx91n3v8+HF38D377LOqra1VYWGhSktLuywW4+/J21+PQ6Bhhe6O9XeWvGd7fv7zn7tL1Urts/M9RUREaMmSJcrKytKHXdz0hIWFec3iB4YCgQ4MkqSJE3WwqEgrFi9W/u7dWrFokW5cv+5VpKS6urpTWI39+GN95oEHdObiRdmjo7UoI8Prfaurq/X+++8rPDxcX/ziFxUaGqrY2Fi9++67SklJ0TPPPOP1pP673/1Od999t/7jP/7DfWz16tWKj4/Xiy++6A50p9Op3NxcTZ48WYWFhQoLC9PmzZuVkZGhjI42+Ov+7umEvq6GFXpybCBXAcyePdurtOvEiRO9ZuG3tLSosrJSy5cv112/+IWcPpu0pJSX66G8PO255x62UMWQItCBQZIYH6/3P/xQ4WFhCrJadf7UKa1//nmNO3zYfY5j8WJtf/xxr+vGhIbKcDpVefasPr92bacZ3omJiaqpqVF6erpCO7riq6urlZ2draysLL322mt67rnnNGfOHGVlZSkkJERRUVFe7xEeHu7+y2XXrl06evSoXnjhBYV17BzXk7AejAl9A7kKIDs7W1ar1d3e5cuXa8+ePdq3b5+am5vV2tqqyspKvfH//p8+9+67XZaLPX7ggESgYwgR6MAgCQkJUUJcnKrOndOUSZMU8fjjsh096nWO7cgRrZZ08sEH3ceSk5K06+BBjR81Sq9t3dpp6VZWVpYMw/DaotQVcI2NjZLax4UdDock6Rvf+IaeeeYZ/fa3v9Wjjz6q5uZm/fSnP9WVK1f0t3/7t+73cD21jh07Vg888IDef/99BQcHa/bs2frsZz+rpUuX+g3r2zFj3tdA3jT4a292drb279/vdaz11KmA75PKFqoYYgQ6MIimJiVpf1GR7rXbZe/YM9yTpa1N9oMHddfjj+vItWtaOG+ebgYFKeTmTR395BNJ7d3whmFo5cqVktoDKSMjQ3V1dUpOTlZyRxnZ1tZWFXcUTXFN8Kqurtbf/d3fKSIiQl//+tf11a9+VZJkt9v1xhtveI0Dnz17VpL0la98RZ///Of11ltv6fz58/r+97+vZ599VkVFRUNWw3wwbhri4uK8Zua3RkcHPH/WI4/c1vYA3WGWO3CbOT2e3FITExUcHKwbJ08GvKbh0CFFjR2ra01NulBXp4a6Oq/Xiz2qm0nSU089pZqaGu3fv19paWk6e/asnnjiCdXW1kq6tV93YmKi/uu//kvf+MY39OSTT2rHjh16++23dd999+mRRx5Rfsfe4JLcM8eXLVum3/zmN7r33nv1xS9+UX/+859VW1urX/7yl33/pYwAmzZtUrRHiC/+n/+Rv2dwp6SzGRmyTps2WE0D/CLQgdvoxs2b2vz666rtWONstVq1KCNDR2/eDHjdhVGjdPH8eR09fFijnU5ZLb4jt+1cy7dCQkL0V3/1V9q8ebMmTZqkxMREnThxQs8884wkadq0acrJyVFGRob7ydw1C/7+++/Xli1btHjxYj3xxBPu947pqGe+Zs0ar8+cN2+eJkyYoCM+Nc1Hmu6WvgUHB8vesUmLvbZWaWVlncbPJcki6YjHygBgqBDowG0UGhIip6S3CwrUePWqJCl18mTdSE5WxYwZMnz38LZYVJqa6rU5SGVZmebMmeN1nuvnl146pOefP6ODBxuUkJCgV199VcXFxaqsrNTevXvV0NCg0aNH6+///u+VnZ2t06dPq6mpSYsXL+7U1kWLFqmyslJXO9rp+5menE7niN8y1LWaoLy8XDt37nRXqmttbdWLL76on/zkJ+55B/EXLgR8r4iO3xkwlBhDB24ji8WihPHjVXn2rN7etUufvfdehYeFKaytTX98+GGte+UVpXnszX0+I0OvPfSQ13u0trZqxYoVslgs7klgs2Zlae1aKT8/U+qoT5aaWqq4uMNavXq1pPbx8j/84Q/6y7/8S0VEREiSEhISJEn79u3TY4895v4Mp9Opffv2yWazafTo0ZKk+++/X6NGjdI777yjp59+2n3ukSNHdOHCBS1dunTgf2E90JetV/1d09XSt7y8PPfYuWvuQabPBDlfkQsW9PHbAAOHQAdus4Tx43X12jXVnTunX/7qV1owZ44a6+vVHBGhvNxc2evqNDM0VPd+7WuamJ6ucS+84LUOeuLEiZ0mga1dK+3Y4f05ZWVT9C//YlVa2g4dO3ZMP/rRj5Senq4f/vCH7nMSExP16KOP6te//rXCwsL0wAMP6MaNG3rhhRd06dIeffOby3Xw4EtatGiDoqOj9c///M965pln9OUvf1kbNmzQhQsX9A//8A9KTEzU3/zN39z2350/vuv0KysrlZub6zfUXUF+7Ngxd2lX13K3rpa+Xbx40es9YurqlOSzM56vRf/939IDD7AnOoaUxem8M9daNDY2KioqSleuXFFkZORQNwcm9um1a/rNf/+3Gi9dch8bO3asPv30U/fPOTk5XvuI/9cLL+j8hQuKjIzUV77yFUWNHes+t6RECjT/KiRklpKSbuoLX/iCvvOd77ifuF2am5v1i1/8Qps3b1ZFRYXGjQvSiy+26O67r7nPcTgWy27Pl2TTb37zG/3bv/2bSkpKNHbsWK1du1Y/+tGPNGnSpH7+Zvpm8+bNnTZ98fz9eSooKHCHv6eUlBRt2rTJ75P+iy++6DW7fVlDg+772c8CtslptcqyejV7oo9AZsoCAt0E/xAx/P3ud7/rtP+5S/iYMZq1YIEezMlxz0aXpKvXr2v34cOquXBBM1NTNW/GDI2OiNA777Q/DHbl7bel++/vTevWyjC2y2q9NSnMMKyyWldLGn4B5S+kU1JSlJub2+lcf+EvdX0DILXfUOXl5enixYuKi4vTpsWLFTxrVs8aV1LCnugjjJmygC53YBCkpqZ2GeiGYWjyhAleYS5JY0aN0tqsLF12OHT444/10ptv6t6lS5WaOjngZ6Wl9aZlJZLy5dtb3R7u+ZJOSxpeAZWVlaXKykqvp+iuKsX5dqvbbDbNnTs3YCGa4OBgr/kFkqS775Z27+6+caWlBDqGDIEODALPymZtbW1eY+RzMjI0d/r0Lq8dZ7drbVaWDhYXq6ymRqvvmqzZs8/q+PEJcjpvJXFQkLRqVW/zpKyb10s13ALdarUqNze3U3e5P/4qyvV6dn5JifTUU7px5IjCrl8PfG7v7qaAAUWgA4PAc1KbvxnXPTE+JkalHTcC//f/Vurv/q5JZWW3AmTVKmnLlt62LLWb14dnQPW0Uly/Kso5HNLGjVJHsZ0wSU3h4Yrw2JnNxRkUJEvv76aAAUWgA4OsryEzzmbTlatX1dLSogceWKaxYwt14MBxOZ2peuSRWZo2rS/rwqdKWiNph6Q2j+NBklZpuD2d3w5dLoPbuFHOHTu8ismE3bihmkmTFNTWpoTz593HLX27mwIGFIEOjBCjIiIUER6u2oYGTRg3TtnZ2QO0udcWSRvUPmbusqrjuPn521s9Ky5O1vx8vzurTT5zRs899ZQkye5waMM//ANlXzEsEOjACBIbHa1LdXUqOXGif+PCXmxqn81+Wu1j5mka6Cfz3haD6UvxmL6q379faadPy7BYZHU6VT9qlD52OjU7wDV2h0Ol6ekyUlMJcwwbBDowgsTabPro8GFVlZZKuvVEGagLv+fhmK7b1cXem2Iw/s6XAn/HPukYI/9sfr738bw8XZw6NfCldrssFov++q//emDbBPTDyC7GDNxhYmw21XoUqJHUqYSpr65qlg8m3zZWVlYGbEdXZVkHVMcYuT/jSkt1LSJChs9SQs9a+xlz5yo0NHTg2wX0EYEOjCDjbDZZfEKkqzXYLoMSjt3w18ZA7fA9v7vv2GslJVJ+vixtbX5fthqGRjc1qcanGt6FuDi9f889CgoJ0bGPPtKyZcuUmJioiIgI2e12LVu2TL///e87vd+RI0e0atUqjRkzRtHR0Xr00Uf9FrzxdOLECYWFhclisejQoUN9/664Y9DlDowgkWPGKGr8eM1MTVXt5cs9WvbWVc3y3ujvmHZvisG4zpfU66V9PVbW3fr7drtXrNDeuDh94YMPZPnoIyVcuKC/ev55laam6l8WL1ZLS4tyc3O1atUqXbt2TXl5ecrNzVVlZaW+//3vS5JOnjypnJwczZs3T3/84x/V3NysH/zgB8rKytLRo0c1bty4Tp/b1tamxx9/XLGxsTp37tyAfnWYF4EOjCAWi0WxNpumpKTo/rVrvV7rKnR9w3H58uUqKCjoVTj3d0y7N8VgXOcP+Ji5p9Tu1t+3c9jtuv/116WKCq/jKeXl+v8k5eXmKiUlRStXrpQkPfTQQ6qoqNCvf/1rd6D/4Ac/UFhYmN588013adGFCxcqPT1dzz77rH784x93+tx//dd/1ZkzZ/Ttb39b3/jGN/rxRXEnIdCBESbWZlNdQ0On412Frm84etZC72k4D0S3/W0P6d6YOlVas6Z9nbmfbnfDYlF5SorkdHptb+ti7Thur6tTYk6O12uxsbG61DHPobW1VW+++aa+9KUvedUJT0pK0sqVK/Xaa691CvTTp0/rBz/4gV5++WX3fuxATzCGDowwsTabLndsBeqpp6Hbl3Du7Zi2YRgqKCjQ5s2bVVBQIMMwAp4/UHr1uVu2tBeE8aM8JUVb16+X3c/v2VPizZtavny5WltbdfnyZf37v/+78vPz9e1vf1uSVFZWpqamJs2ZM6fTtXPmzFFpaamaPSrPOZ1OffWrX9VDDz2khx9+uAffGLiFJ3RghIm12VR35IicTqfXhi49HSv3Pa++vl4FBQUBu957O6Y9UMvOejt236vPtdmkbdt0IC9Pp995R21Wq4IMQw67XY6YGEmSo5v9zSdkZenJJ5/Uf/7nf0qSQkND9fOf/1xf+9rXJEl1dXWSJLvd3ulau90up9Op+vp6TZgwQZL0y1/+UsXFxfrjH/8Y8HMBfwh0YISxRUaqra1NjVeveu2TnpWVJcMwVFxcLKn9ac8wjE4B6ArjY8eOqb6+XvX19e4QDFRvvjeBPFAz63t7Y9CXz533+c/r3YoKtfnpenfExqo0NVUp5eWyeuw0bVgsOjdrlhZt2KD4rCx99atf1aVLl/TGG2/oySef1LVr1/TMM8+4z/fdSc+T67Wqqip997vf1c9+9jPFxcV1227AF4EOjDBBQUGyRUXpksOho0eOdHp6re/oJi4oKJDFYukUgK6x7Orqave5knf49fcJeyBm1vu2yd/Pff7ckpL2me5padqyd6/fMHd5/557NOraNSVcuHCrHdOmadL778tqtSoxMdH9OQ90bFT/3e9+V4899phiOp70XU/qnhwOhywWi6KjoyVJX//615WRkaF169apoWOOxPWO3d2uXr2qK1euKCoqKuD3x52NQAdGoFibTfs+/FDlp05JuhW6vQnAQOHX3yfsgVp21tsbg0CfaxiGPnzrLSV/73uaePy4+/jd6em68Oijao6I8Hqv8OvXtW7rVq9JcYXjlutPC/9CSrdo3YkTfm9yMjMz9atf/Url5eVauHChIiIi3L0mnoqLi5WWlqbw8HBJ0vHjx1VVVSWbn27+lStXKioqyh30gD8EOjACzUhJ0b5du7yOVVVVKSkpqccBGCj8+vuEPVAz2nt7YxDoc3ft2qVJTz+tCT4FXaaUlmrdK68oLzfX6/i6rVuV0nGuQzZt1EvKv7y2vez9NmnnzrMqKGgfivf0wQcfyGq1KiUlRcHBwfrMZz6jV199VT/5yU80tmOIpLq6Wh988IGefvpp93Uvv/yy1wQ5Sdq2bZt+/OMf61e/+pVmzZoV8LsDBDowAsWPG6eIsDDd7OiSleTuPk9OTpbFYlFSUlKf13rf9sIuPTRQNwaGYajkzTeVE2AJWkppqaxOpxx2e6flahv1knbIe0b88ePxWrDgpH784yLFxcWptrZWf/rTn/SHP/xB3/rWt9wFY/7pn/5Jixcv1kMPPaTvfOc77sIysbGx+uY3v+l+v6VLl3Zqm6sQz8KFC7Vo0aJ+/x5gbgQ6MEJFRUbqiscYeENDg7tLNicnp19BOKzWjA+AwsJCjfYYA/cn16Nk67n4ePfflyhd+Vrb6XynM0iVldP1xBOP6dNPj2jMmDGaO3euNm/erC9+8Yvu86ZPn66dO3fq29/+ttavX6/g4GDdc889evbZZ/1WiQP6ikAHRqiUKVNUXVXl97V9+/a5u+Bv59ajI4FhGDp27Jgs3SxB8xTvEf5lClxVLi9vv+6/P/D7LVy4UDu62AgmkC9/+cv68pe/3OvrcGe6c/8tB0a4rKwsrVixQqPGjlXs+PFerzU3N6uiomLIdlcbTgoLC1VfXy9HbKyqJk/u0TWu/zAaklIVuO572sU9/WsgMEAIdGCEslqtWrlypf7Xhg0KHzdOYR2zpX0Nxe5qw4nn9z+wZEmvrrVKmqrTWqNtClKr12tBatUabVN69XsD0Uyg3wh0YIRLnDBBE+PiuixeMuBbj44wnt//gsfYeE8ZFou2aINWybvLfJV2aIs2SMuW9buNwEBgDB0wgbvmz9fHRUVSU5P7WHR0tObNmzdkM9S705ctWftyjev779+/v8vKb05JXdVyszqdsqlB7+h+lSpNpUrr+N9SWWJipNWre/O1gduGQAdGOMMw9NHhwwqzWGSMHSt7dLTSUlOH/WS4vlSj608Fu/DwcDU1NWnr+vVa98orXsvSWiIjFdrYGPD6G6GhSr9ZqnSVth+IiZEOHuzRZwODgUAHRjjPkJOk1rY2ZSxcKMPpHJgxNY8yqUpPH4h3lNS3anR9ucb39xORkKCzv/2tUuLjZS0v1wGHQ++UliqltNRr6Zqv57/2NUU1NCj10iWNWb1as59+eljfMOHOw59GYITzDbWb16/r8KFDemXbNp29eLHvb+xwSGvXStOmSQ880L6H+Nq1UjdbivZUb7dk7es1vr8fm83Wvk/8tGnS/ffrVMcWq+VpaSpNTZXhMxfBsFp1NiNDjXFxqkhN1Y5ly/Tnq1fv+NUDGH4IdGCE8xdqY0JCNCM1Ve/s2qX39+1Tk09J0R7ZuFFOn7XTzh07pA0b+tpUL1lZWcrJyVFKSopycnJ6NNbfl2sC3QQYhuG1Z/rW9etVmZbmdX7N1Kn6/YMPqrXVe5b7nb56AMOPxen0mBlyB2lsbFRUVJSuXLmiyMjIoW4O0GeGYWjz5s3uMqHSrUpxn167pj1Hjuj85ctaNm+epk2ZEnArT7eSkvYn8y78+Sc/kS0zc9iP00uBJ9IVFBR4dce72OvqZHc45LDb1TBunFfou/S3Gh+GBzNlAWPowAhntVqVm5vbKbQkaezo0VqblaWKM2e0+8gRfVJWpmlTpigxIUFjRo3q+k391Dz3dO3YMR3rqCM/3EMtUBnbqi4q7dXHxsrRsfWpfMI8PDxcS5YsGbarB3DnItABE+iu9vqUSZM0KS5Ox0tLVVJZqcLDhxUTHa2khAQlJiRovN3u/eSeGrjcqcNul9R9t3Nflpn5dZsm5nXVQRmo47K5uVkWi2XY90zgzkOgA3eIkJAQzZ8xQ/NnzFDTjRuqOX9eVefOqXjnTgUFBSlxwgQlT5yoSXFxCpk6VVqzRs4dO2Rpa3O/h9NqVdmUKe6n1+4mpfVnmZmk9ol5GzdK+fm3jq1ZI23Z0nnf0j7wHX6IqauTraOr3f2E3sFeWyt7fb0cdnuXT/bAUCLQgTtQRFiYpiYna2pystra2nShtlZV585p39Gj+vTaNU2Mi1PyD3+omU6n9O67ty5ctUoXn3pKKfX1PdpWtS/LzLx0TMzzjF3njh2ybNggbdvWu/dS5x6DyZMnq6KiQuHXr2vd1q1ea9NLU1O1df16yens9NrZjAzpM58ZkJsKYKAwKc4EEyGAgdTQ2Kiqc+d07ORJ3TV/vtJu3pRKS/vU3e076axXE8m6mZinkpJ+t2fFihUqKirSg88916l6nGGxqDwlRZI6v2a1yrp6dZ9uKjC8mCkLeEIH4CU6MlLRkZG68umnuuRwKG3+/D6PW7ue4H0n6/VINxPzVFoasF3+xu89ewjs9lo1Nv5BtivXvJ6+XaxOp9/jkmQ1jPZhgNOnB3RMH+gPAh2AX+PsdpV4LIXri+4m6wXUzcQ8+awX9+S7lM81fj958mSdO3dc69ZtVVpaR1g/IilT0gZJDb1sYzc3FcBgYpomAL/G2e2qra8POOP7tnJNzAsK8jrsDAqSY/Fibd63TwUFBX7XiBcWFnqty5faewmcTqfWrduqlJRy7wtWSdrShzYGuKkABhuBDsAvW2SkDMPQlU8/HbpGbNkiy6pVXofqFyzQ8/fco/Lycu3cudNvCVZ/k+8SExN15cpBpaWVyWr1uUkJlrRWkkc+GxaLSlNT/ZaDdQYFtc+25+kcwwiBDsCvoKAg2aOjVXPhwtA1wmZrn3hWUiK9/bZUUqK3nnpKzRER7lO6Cm9PycnJysrK6rYX3zPQy1NS9PoXvqCt69e7J8e5WFatal86BwwjjKED6NLi2bP17u7dio+N1biOYjJDIj3d/TSceO6ce0xc8r8W3t9kPKvVqlmzHpb07S4/5r/vylVQjOFehx4REaHmpibl5ebKXlenmaGhuvdrX+PJHMMSgQ6gS4kTJmjBzJnK371b69asUURY2FA3qUcz5z0n4/nOdl+x4j5J78liuVUwxzAsKi9PUYWRKnlkdVxcnHss3hETozPJyTJSU+naxLBEoAMIaP7MmbpcX68de/fqwezsIS952tOZ864gP3bsmOo7tnwtLy9XcPBTmjGjXnb7Qfe55eUp2rp1vdf1ycnJ2rRpk/Ly8tyhXllZqcLCwmFfvx53JgIdQEAWi0UrlyzRq9u3a39RkZbNmzfUTeoRz7KznsrKHCovf0oNDQdltzvkcNjlcNwq8xoeHq7MzMz2PdOt1k43MGybiuGKQAfQrdCQEK29+269un27xtntSuumhvtgam1tVV5eni5evKi4uDht2rRJwcHBXQav0+lUUlKSysvLvYLcJSEhQStXrnT/nJiY2O2YPTAcMBQEoEeiIyN1z9Kl2rl/v+oaGoa6OW6uLvGmpiZVVlYqLy9PUtfB29DQoGXLlik5OVnBwZ2faXyvy8rKUk5OjlJSUpSTk8O2qRi2eEIH0GPJEydq7vTpyt+9W4+uXq3wYTBJ7uLFi35/dgXv0aNH1eBxA9LQ0KAtW7Z0KjwjSTabrVNg96vaHTCIeEIH0CuLMjIUPXas3t+3b+iqyHmIi4vz+7MriOfOndvpmq664+fOnTvkk/6AvuJPLoBesVgsumfpUl2sqxvaojMdNm3apOTkZEVERLhnpnuqqanpdI1vuVhrUJCys7PpTseIRpc7gF4LDwvT/JkzdaCoSJPj42XxKY06mIKDg/XYY491+brvpDZ/jLY2WSwWns4xohHoAPpkVlqaik6eVFlNzbCY9e5ad15VVSWn0ymLxaKkpCQtX75cklTy5psadf68uwqcL5ajYaQj0AH0SUhwsBZmZOhQcbFSJk0a8qfbXbt2qaCgwOtYRUWFTu7dq8+/9pqyD94qJFOamqqt69d71YRnORpGOvqXAPTZ9ClTZDidOlVRMdRNUVFRkd/j9/72t4o+dMjrWEp5uda98or75zFjxjB+jhGPQAfQZ0FBQVqckaFDx4+rta2t+wsGmb22VmllZbL6zMa3Op1KKyuTva6u/Wc/FeGAkYY/wQD6JS0pSeFhYTpRWjqk7Zg9e3anY/aOGu5dsTsckkSYwxT4UwygXywWizJnz9bhjz/WzZaWIWtHdna2cnJyZLPZ3MccHn/vj6NjS9g5c+bc1rYBg4FJcQD6LTEhQbbISBWdOqVFGRmD/vmeW6TOmTNHTqdTNTU1ciYn62xGhhJOnJDFY+25MyhI9QsWKGjmTCVERFAJDqZAoAPoN4vFosw5c/TOrl2alZ7u3jfddy/yrKysfnVv+77f8uXLtWfPnk5bpObk5OhLX/pS+0UPPyxt2CDl599q76pVsr30kuz79mne9Ol0ucMUCHQAAyJh/HjFx8bqoxMndNf8+ZK8tzB1FXfpz9Ow7/tVVlb6rcnutabcZpO2bZNOn5ZKS6W0NCk9XecvXVJTc7NSWa4Gk+C2FMCAyZwzRx+Xlqrq7Fk5nc5OxVr6W7zF93rfjVlc/K4pT0+X7r+//f8lnSgt1bQpUxTiZ8c1YCQi0AEMmHF2u+6aP1/v79+vP+/YoeiOSWcu/S3e4nu978YsNputR1ucNjU3q+LMGc1MTZXU3pWf/+67+sV//IfeeuedTrXegZGAW1MAA2pWWprSk5J0vKREH33yiWITEqTWVqWlpva7eIvret8x9N6M0TudTh09eVLx48YpOjJSLa2t+sPWrSo7eVKSVHfpksaMGsVEOYw4Fudw2P9wCDQ2NioqKkpXrlxRZGTkUDcHGPFa29p09JNPdObiRTU0NmrhrFmaNmWKqs6eVWl1tWrOn1eMzaZFGRlKSkgYkjYahqE9R46orKZGD2Znq+nGDRUeOqQLZWW6euWK+7yUlBTl5uYOSRsxuMyUBTyhAxgQxadOqbSqSnOnT1d4WJh2Hz6smvPntXLJEqUnJ6v5xg2drqrS9j179JmVKxUXGzuo7WtpadH2vXvVeO2aHl29WqcqKlR06pSWzJ2rmNBQ7d+3z30udd0xEjGGDqBfDMPQjvfeU/7bb2u0pGlTpmjKpEn6/Nq1CgoK0h+3bVPN+fMKDwvT7KlTtWTuXG3bvVufXrs2aG281tSk199/X61tbfrcqlWKHDNGZy9e1N0LF2pWWppuhoRoytSpSklJ6dEYPDAc8YQOoF8KCwu1Z/duSdKRQ4cUOWaMsrOzFR4WpvuWL9epigrl796tmWlpypwzRzNTU3Vg3z795re/1YK5c/u9Nr07tfX1emfXLk2Mi1P24sUKCgqSJN1saVF4aKjKampU39ioL6xbp7DQ0NvWDuB2I9AB9EugpWkWi0XTU1IUHxurHR9+qNe2b1eEYehMx+5srjXlAzEBzel0qr6xURaLRUFWq0KCg3Wprk47PvxQ82bM0IKZM2WxWNzn32xpkSwW7T1yRMvmzSPMMeIR6AD6JTEx0V00xvWzvwpxn1u1SgeKi7Vz+3av6/u7Nv1mS4tOVVToeEmJrl6/Llksam1tlSQFBwUpJzNT6cnJXtdUnDmjphs3dKqiQlFjxyo9KalfbQCGAwIdQL9kZWXpYl2dKisrtWj+fGVlZWnXrl0qKCiQ1F7Rzel0KicnR8vmzVP9hQs6uH+/+/q+TkCrb2zU8ZISnaqokC0qSgszMpQyebKCg4LkdDrV1rGWPLiji93l/OXL2rF3r8ZYLDr84YeaP3u2nE6n19M7MBIR6AD6xWq1av1nP6s/v/eeRtntslqtKioq8jqnqKhIOTk5kqS1992n0RERXk/vktTS2uoO467qvxuGoerz53W8pETnL19WamKiPnPPPYqLifH6PIvF0inIJcnR0KBthYWKDg7WieJiSdL+ffsUER7OunOMeAQ6gH6zWq3KXrxYr27f3m33tdVqVXZ2tgzD0KW6Oh06flzV58/rssOhsNBQ3bhyRZdqaiS1P90337ihFStW6FRlpT4+fVptbW2alZ6ue5Yu1aiIiB61r6WlRR998omOnTql+TNm6NDevV6v97fbHxgOCHQAAyImOloZ6enadfCgZs+erV27drlfmz17tqT2kqvV58+r+vx5nblwQZI0OT5ec6ZNU8L48Wq+cUNb//Qnr/c9UlSk8ro6TRg3TkvmztWUiRPdM9V74uzFi3rvww8VOWaMHrn3XkWOHq3dhYVe57DuHGZAoAMYMIsyMvSnbdtU19AgW3y8bly/rjGRkWo0DL2Sn6/a+nrF2mxKSkjQnKlTNa6ji95lzKhRmj5tmi6cP+8+tmzRIi1ZulQR4eG9bk9bW5sKDh7U7KlTNW/GDN1sadE7u3Zp6owZGjVjhmpqary6/YGRjEAHMGBCgoO1fs0afXrtmlpaWnSztVUtra1qaWlRkNWqiXFx3XaT+9Zr78869ZMVFbJaLJo7fbqab97UWzt3KiI8XKuXL2eXNZgOf6IBDKjQkBDFREf3+XrXGHt/NTU369Dx41q+YIGabtzQGx98IFtkpFYtW9arLntgpCDQAZiOYRjavnevEsaP13i7XX/esUMTxo1TTmbmba1KBwwl/mQDMJ2DxcW63tSkudOn6/X33lNSQoJWLllCmMPU+NMNwFQqz55VcUmJFs6apbcLCjRtyhQtX7CAwjEwPbrcAZhG49Wren/fPk1PSVHh4cOaP3Om5s+YMdTNAgYFgQ7AFFrb2vTunj0aFRGhk+XlWjpvnjLS04e6WcCgIdABmMKpigpddjgUZLUqOzNT06ZMGeomAYOKQAcw4hmGoV0HD0qSVt11l1ImTx7iFgGDj0AHMGK5dkkrP3NGkvRAdraSEhKGuFXA0CDQAYw4hmEo/9139VFxsSZMmKANn/+8Njz4oKIjI4e6acCQYdkagBFn+44dOrB/v1quX1d1WZn279tHmOOOR6ADGFHa2tp0+Ngxr2NsfwoQ6ACGOcMwVFBQoM2bN6ugoECSNM1nORrbnwKMoQMY5goLC7Vz505JUnl5uSTpcw8/rFibzWtHNuBOR6ADGFZa29p0oKhIbW1tWjZ/fqfu9Orq6gHbkQ0wEwIdwLDhuHJFO/bulSRdvX5dE+PilJiY6H4yl+heB7pCoAMYPCUlUlmZlJYm+YyDt7S06A9vvy1JCgkO1pjRozXOblfyxImSRPc60A0CHcDt53BIGzdK+fnuQ8777tPep55SeX29EhMTtTgzU5Pj4zV29GilJydrwrhx7h3S6F4HukegA7j9Nm6Uc8cOeW1gumOH4srKtCM3192l/tDKlUPSPMAMCHQAbhU1NSo9dUoXzp93d29brb1f3WoYhg78/veq2blTLYahjfn58t2N3GIYSisrk72uTo6YGNaSA/1EoANw2/r667pWVyfp1hKx3nZ3G7W1unzffVr60Uda2oPz7Q6HHDExTHYD+onCMgDcLG1tXj+XV1T0+Fqn06nikhKdv+8+jfOp5BbI6LlzlZOTw2Q3oJ8IdOAO0uYR2L4V2AzD0Kzp073Ob7h+XZ+UlcnpdHb73s03b6p0+3ZN/OgjWQ2j2/OdQUHSmjX67Le+pezs7D517QO4hS534A7yxgcfaFJ8vBZlZPitwHbf6tWqb2zU2TNntHDePE2ZOlWFhw6pobFRNxsbvZaO+QZwRFiYHklO7nFbLKtWSVu2DNRXA+54BDpwh7je1KQLtbW6XF+v5IkTu6zA9hePPqo/5edr/OTJSp44UZfq6nT0yBGdr6qSFHhs3eqztryTd9+VWlv9rkMH0D8EOnCHqLlwQTHR0brZ2KgXXnhBsTab1+uuSWlBQUGKj43VtevXdfjjj1V06pSsPmPrXc5InzpVWrOmfYmaxzXOoKD2J/LVqwf2SwFwY9AKuAPcuHlTn5SV6WZjo0o/+UTXGhtVVVWl8PBw2Ww2ZWdne01KixozRkdOnNDpqio9fO+9Sk9L83q/gDPSt2xpD28PdK8Dtx9P6ICJGIahwsJCr7Hu2oYGbd+zR2NHj9a1xkav85ubm9Xc3CyLxeI1Jj5/5kwlTZyoyDFjFBwUpNiOsO9R+VWbTdq2TTp9WiotpXsdGCQEOmAivhPdGhobdfH6dbUZhhqvXlVzS4vf6/x1odujotx/36fdzdLTCXJgEBHowAjV0Nio/3nrLdVUVsoiKX3aNDVdvep1Tu3ly7orK0u2yEhFR0YqPDRUu3fv1rFjx1RfX+8+j6IuwMhHoAMj0Mnycr359tvuqm6SdKK4WMk+y8bSUlOV4fOU7Bov9+2aBzCyEejACNTa1qabTU2djlssFuXk5HQb1H3qQgcwrBHowAg0Ky1NFxYs0J7du72OJyUlEdTAHYpAB0Ygi8Wie1auVHBQkIqKiiRJs2fPpuscuINZnD0p0mxCjY2NioqK0pUrVxQZGTnUzQEADAEzZQGFZQAAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADABAh0AABMg0AEAMAECHQAAEyDQAQAwAQIdAAATINABADCB4KFuwFBrbGwc6iYAAIaImTLgjg30sLAwSdLkyZOHuCUAgKEUHx+v0NDQoW5Gv1mcTqdzqBsxVG7cuKEbN24MdTMAAEMoNDRU4eHhQ92MfrujAx0AALNgUhwAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAmQKADAGACBDoAACZAoAMAYAIEOgAAJkCgAwBgAgQ6AAAm8P8DRAK1yzHtKLAAAAAASUVORK5CYII=' width=500.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(header_visible=False, toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Bac…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#what about possible outliers, where are they?\n",
    "# > 75., < 0., and == 0.\n",
    "fig3 = plt.figure(figsize=(5,10))\n",
    "# Hide the Figure name at the top of the figure\n",
    "fig3.canvas.header_visible = False\n",
    "# Always showthe toolbar\n",
    "fig3.canvas.toolbar_visible = True\n",
    "#define that the most basic projection: cylindricl equidistant: equal in lat and lon\n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "#what part of the globe?\n",
    "ax.set_extent([-85., -78., 23.5, 32.], ccrs.PlateCarree())\n",
    "# state outlines\n",
    "states = cartopy.feature.NaturalEarthFeature(\n",
    "                    category='cultural', scale='50m', facecolor='none',\n",
    "                    name='admin_1_states_provinces')\n",
    "ax.add_feature(states,zorder=2,edgecolor='darkslategrey',linewidth=0.8,alpha = 0.5)\n",
    "\n",
    "# get locations as numpy arrays for plotting\n",
    "x = df_ppt.LONGITUDE.to_numpy()\n",
    "y = df_ppt.LATITUDE.to_numpy()\n",
    "\n",
    "#plot all locations with a grey dot\n",
    "plt.scatter(x,y,zorder=2,s=5,c=\"grey\")\n",
    "\n",
    "#plot places eq 0 cm as a red dot\n",
    "p_eq0 = df_ppt[df_ppt['TOTALS'] == 0.]\n",
    "print(p_eq0)\n",
    "x_eq0 = p_eq0.LONGITUDE.to_numpy()\n",
    "y_eq0 = p_eq0.LATITUDE.to_numpy()\n",
    "plt.scatter(x_eq0,y_eq0,zorder=10,s=20,c=\"red\")\n",
    "\n",
    "#plot places  < 0 cm as a yellow dot\n",
    "x_neg = df_ppt_neg.LONGITUDE.to_numpy()\n",
    "y_neg = df_ppt_neg.LATITUDE.to_numpy()\n",
    "plt.scatter(x_neg,y_neg,zorder=10,s=20,c=\"yellow\")\n",
    "\n",
    "#plot places  > 75 cm as a blue dot\n",
    "x_big = df_ppt_big.LONGITUDE.to_numpy()\n",
    "y_big = df_ppt_big.LATITUDE.to_numpy()\n",
    "plt.scatter(x_big,y_big,zorder=10,s=20,c=\"blue\")\n",
    "\n",
    "#where are the big values and what are their values?\n",
    "#have to loop over all cases\n",
    "for i, tot in enumerate(df_ppt_big.TOTALS.to_numpy()):\n",
    "    # get the station id\n",
    "    stid = df_ppt_big.index[i]\n",
    "    # save the total as a string\n",
    "    str_tot = \"%.d\" % np.round(tot)\n",
    "    print(i,stid,tot,str_tot,x_big[i],y_big[i])\n",
    "    #label the big totals\n",
    "    ax.annotate(str_tot, (x_big[i], y_big[i]),size='large')\n",
    "\n",
    "#wrap up\n",
    "ax.set_title('Spurious Florida Rainfall totals (cm) %s : %s UTC' % (start_time, end_time), fontsize=12)\n",
    "plt.savefig('florida_rainfall_totals_spurious.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# October 4 In-Class Exercise\n",
    "\n",
    "In the cell immediately above:\n",
    "- modify one line to label the locations of the big totals by the STID rather than the total\n",
    "- copy  some lines to label the locations of the negative totals\n",
    "- modify the figure title so it includes your unid (no name)\n",
    "- copy the resulting figure to the class Teams page"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# more to follow!\n",
    "\n",
    "- are all the really large values realistic?\n",
    "- what happens when the power goes out?\n",
    "- how do we curate the data to get a better estimate of total rainfall?\n"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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