{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# illustrate using Pandas and json IO to Access Data from Hurricane Ian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#%pip list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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": 26,
   "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": 27,
   "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 727.226 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": 28,
   "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": 29,
   "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>2022-10-04T20:48:00Z</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>2022-10-04T20:37:00Z</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>2022-10-04T20:55:00Z</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>2022-10-04T20:35:00Z</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>2022-10-04T20:55:00Z</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>1331</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>2022-10-04T20:50:00Z</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>1332</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>2022-10-04T18:30:00Z</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>1333</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>2022-10-04T20:56:00Z</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>1334</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>2022-10-04T20:53:00Z</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>1335</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>2022-10-04T20:54:00Z</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>1336 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",
       "1331  ACTIVE     249        26                Pine Crest School  2000W   \n",
       "1332  ACTIVE     249       161     FSWN Emergency Response Unit  2003W   \n",
       "1333  ACTIVE      65         6           N3FTU CLEARWATER BEACH  AV996   \n",
       "1334  ACTIVE      65        72             GW2374 Big Bear Lake  G2374   \n",
       "1335  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",
       "1331     None   -80.12401    FL       False   26.20460  America/New_York   \n",
       "1332     None   -84.21333    FL       False   30.53596  America/New_York   \n",
       "1333     None   -82.82617    FL       False   27.97200  America/New_York   \n",
       "1334     None   -82.40000    FL       False   28.20000  America/New_York   \n",
       "1335    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  2022-10-04T20:48:00Z              m   \n",
       "1       3470   2001-06-26T00:00:00Z  2022-10-04T20:37:00Z              m   \n",
       "2       4136   2002-08-12T00:00:00Z  2022-10-04T20:55:00Z              m   \n",
       "3       4193   2002-08-14T00:00:00Z  2022-10-04T20:35:00Z              m   \n",
       "4       4239   2002-08-14T00:00:00Z  2022-10-04T20:55:00Z              m   \n",
       "...      ...                    ...                   ...            ...   \n",
       "1331  178008   2022-09-13T16:10:00Z  2022-10-04T20:50:00Z              m   \n",
       "1332  178009   2022-09-13T16:25:00Z  2022-10-04T18:30:00Z              m   \n",
       "1333  178036   2022-09-15T22:09:00Z  2022-10-04T20:56:00Z              m   \n",
       "1334  178245   2022-09-28T03:20:00Z  2022-10-04T20:53:00Z              m   \n",
       "1335  178294   2022-09-30T20:09:00Z  2022-10-04T20:54:00Z              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",
       "1331              ft  [{'count': 660, 'first_report': '2022-09-27T12...  \n",
       "1332              ft  [{'count': 18, 'first_report': '2022-09-27T12:...  \n",
       "1333              ft  [{'count': 1435, 'first_report': '2022-09-27T1...  \n",
       "1334              ft  [{'count': 1150, 'first_report': '2022-09-28T0...  \n",
       "1335              ft  [{'count': 483, 'first_report': '2022-09-30T19...  \n",
       "\n",
       "[1336 rows x 17 columns]"
      ]
     },
     "execution_count": 29,
     "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": 30,
   "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": 31,
   "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": 32,
   "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": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1336\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": 34,
   "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>1336 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",
       "[1336 rows x 3 columns]"
      ]
     },
     "execution_count": 34,
     "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": 35,
   "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>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",
       "    <tr>\n",
       "      <th>AV797</th>\n",
       "      <td>27.71100</td>\n",
       "      <td>-82.35917</td>\n",
       "      <td>24.2316</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",
       "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",
       "AV797  27.71100  -82.35917   24.2316\n",
       "\n",
       "[100 rows x 3 columns]"
      ]
     },
     "execution_count": 35,
     "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": 36,
   "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": 36,
     "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": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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": 37,
     "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": 38,
   "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": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          LATITUDE    LONGITUDE       TOTALS\n",
      "count  1324.000000  1324.000000  1324.000000\n",
      "mean     28.377458   -82.300921     7.849287\n",
      "std       1.697784     1.883600    10.375621\n",
      "min       9.004970   -87.500500     0.000000\n",
      "5%       25.785583   -86.568892     0.000000\n",
      "10%      26.146605   -85.486780     0.000000\n",
      "25%      27.198903   -82.788427     0.000000\n",
      "33%      27.707720   -82.570070     0.218186\n",
      "50%      28.202585   -81.910250     4.737100\n",
      "66%      29.358076   -81.317826     8.970772\n",
      "75%      30.047232   -80.899933    10.947500\n",
      "90%      30.488252   -80.266960    20.119340\n",
      "95%      30.658355   -80.162277    28.503615\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": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "836704dce4574e529318d9355e8e1bbc",
       "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": 41,
   "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",
      "[137 rows x 3 columns]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "72964aa7713c47778d50cbab9bf1859a",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
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       "\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.show()\n",
    "plt.savefig('florida_rainfall_totals.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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",
      "[389 rows x 3 columns]\n",
      "0 0335W -0.4064 0 -81.86353 27.22227\n",
      "1 0368W -1.7264 -2 -81.427 26.4238\n",
      "2 0370W -6.6548 -7 -82.07607 27.00014\n",
      "3 0465W -1.016 -1 -80.34718 25.74262\n",
      "4 0511W -44.6786 -45 -82.63815 27.77185\n",
      "5 0525W -1.8800000000000001 -2 -81.62503 28.10286\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"
     ]
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    {
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       "version_major": 2,
       "version_minor": 0
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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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aVLl+KNN95ASEgIvL29MWbMGJw+fVr2vr/97W8AgKCgINnn+/PPP2PcuHHo0KED3NzcpGaiysrKJl+nfplPnDiB9PR0qekyPDxcet3S55ybm4t27doBAP7xj39Ix9Deh6ysLDz88MOIioqCu7s7OnbsiLvuugvHjh2zWLamfq/r6urw3XffYcaMGVAq5b1ZtbW1ePvtt9GjRw+4uroiICAASUlJ2Llzp7SPQqHA008/jfnz56Nbt25wc3PDwIEDsXv3bgghMGfOHHTp0gWenp4YNWoUsrKyDMqQnJyMzZs34+zZs2bL6uHhAQ8PD4PtcXFxAICCggJp28qVKyGEwMMPPyzb9+GHH0Z1dTXWr18vbWvfvr3BMQcMGAAHBwfZMf38/ODk5GTy/OfOnZO2rVixAp6enrjvvvsMzn/hwgXs2bMHALB79240NDRg0qRJsv3uvPNOAEBKSoq0LTAw0GhzeFxcHKqqqlBcXGzwmq7vvvsOnp6e+OMf/yjbrv+5m2LsPjk4OGDAgAGy+wRorn/UqFEICwuTtnl7e2Pq1Kn49ddfoVKpAGiu/+LFiwaf03333QdPT0+sWLHCqrJZw5b7t2LFCnTr1g1Dhw6Vtjk6OmLWrFnYu3cvzp8/D8C276Qt98/az8SW+2ftd9LBwQEBAQFWXZMtZTV2/SEhIXD86KOPcPjwYaxZs8aqA+lKTk7GwYMH8d577yE6OhqlpaU4ePAgioqKrHp/Q0OD9GXUcnR0NLn/1atXMWzYMNTV1eGdd95BeHg4fvvtN7z00ks4e/YsvvrqK9n+n332GaKjozF37lx4e3sjKirK6HG3bNmCyZMnY+jQofjpp5/Q0NCAjz76SBZgtc6ePYsZM2agS5cucHZ2xpEjR/Dee+/h1KlT+P777626bn05OTkAgOjoaGlbbW0tiouL8dJLL6Fjx46oq6vD5s2bMXXqVMyfPx8PPPCAxeO+/vrrGD58OObNm4fy8nK8+uqruOuuu3Dy5Ek4ODhgxYoV+PLLL/Hdd99h/fr18PHxQWhoKADgzJkzmDRpEp5//nl4eHjg1KlT+PDDD7F3716T/Xy2WLFiBaZNmwYfHx/pc3NxcQFg3efcoUMHrF+/HhMmTMCjjz6K2bNnA4AU5C9cuICAgAB88MEHaNeuHYqLi7Fw4UIMHjwYhw4dQrdu3UyWranf6z179qCoqAhJSUmy7SqVChMnTkRGRgaef/55jBo1CiqVCrt370Z+fj6GDRsm7fvbb7/h0KFD+OCDD6BQKPDqq6/ijjvuwIMPPojs7Gx88cUXKCsrw4svvoh7770Xhw8flv1hTUxMhBACa9euxTPPPGPDJ6Kh/Wx79eolbTt+/DjatWuH4OBg2b6xsbHS6+akp6ejoaFBdkxz53d0dJT9Wzh+/Dh69Ohh8LdB9/za7wtw/Xukpe3LPnr0qMXzp6amol27dkb/YGqdOXMGGRkZmD17Njw9PS0e01oqlQoZGRmy+1RdXY2zZ8/innvuMdg/NjYW1dXVyM7ORnR0tPQ5aO+LlpOTE7p3727xcwI035/09HQIIZp0Dcbu3/HjxxEfH2+0/ICmj7tjx44mj2nsO2mMsftnC1vun7XfSVOsvSZbZGdnAx9++KEAIDZu3CiEMN8ECb3mTU9PT/H8888bbRIwR9v0bOynvr5e2k+/yf21114TAMSePXtkx3vyySeFQqEQp0+fll1DZGSkQbOesesbPHiwCAkJEdXV1dK28vJy4e/vb7bJvaGhQdTX14sffvhBODg4WOwD11737t27RX19vaioqBDr168XwcHBYuTIkbJr16dSqUR9fb149NFHRb9+/WSv6d+n1NRUAUBMmjRJtt///vc/AUDs2rVL2qZtMr969arJc6vValFfXy/S09MFAHHkyBGD9+tqbpO7tZ+zLU3uKpVK1NXViaioKPHCCy9I2419H5r6vdb+W9LtKxZCiB9++EEAEN9++63Z9wMQwcHBsmZH7RiHvn37ypo4P/nkEwFAHD161OA4HTt2FH/84x9tLv+RI0eEm5ubuOeee2Tbx44dK7p162b0Pc7OzuKxxx4zeczy8nLRo0cP0alTJ1FRUWH2/Bs2bBBKpVL2+QghRFRUlBg/frzB/hcuXBAApK6Aw4cPGzTtCyHEli1bBADh7Oxs9vzffvutACA+/fRTs/u9+uqrBv+OjDHX5G7MG2+8IQCIlStXStvOnz8vAIh//vOfBvtruxK0TdnvvfeeACAuXrxosO+4ceNEdHS0xTKMGjVKODg4WF1mXabun5OTk3j88ccN9t+5c6fRZmtdpr6Txhi7f/rMNbnbcv+s/U4ac+7cOREUFCQGDhxotmvOli7J+vp6kZiYKJTaJkr9EYfWiIuLw4IFC/Duu+9i9+7dNjc7//DDD9i3b5/sx1wNfevWrejZs6fUXKH10EMPQQhhUHO8++67jTbr6aqsrMS+ffswdepUuLq6Stu9vLxw1113Gex/6NAh3H333QgICICDgwOcnJzwwAMPoKGhAZmZmdZcNoYMGQInJyd4eXlhwoQJ8PPzw6pVqwyufdmyZRg+fDg8PT3h6OgIJycnfPfddzh58qRV57n77rtlv2ufHvPy8iy+Nzs7GzNmzEBwcLB0nQkJCQBg9fmbytbP2RiVSoX3338fPXv2hLOzMxwdHeHs7IwzZ85YLH9Tv9cXLlyAQqFAYGCgbPu6devg6uqKRx55xOIxkpKSZM2OPXr0AABMnDhRVhPXbjf2WbZv315qxrRWbm4u7rzzTnTq1Anz5s0zeN3cbA9Tr9XU1GDq1KnIy8vDsmXLzNZmDx48iD/84Q8YMmQI/vnPfzbp/H369MHIkSMxZ84cLFu2DKWlpdi5cyeeeOIJODg4mG3OXLduHZ566ilMmzbNbMuGSqXCwoUL0atXLwwZMsTkfraaN28e3nvvPfzlL3/B5MmTDV635f6b2teaGTtbtmwxaDW1hqX715Tvj6XvpC5L988W1t6/plxTcXExJk2aBCEEfv75Z6ub2M0RQuDRRx9FRkYGlO3bt4ejo6PVzeS6fv75Zzz44IOYN28ehg4dCn9/fzzwwAOyaRzm9OjRAwMHDpT9mFNUVIQOHToYbA8JCZFe12VsX30lJSVQq9UGzYkADLbl5+cjPj4e58+fx6effoqMjAzs27cPX375JQBN85g1tA8yW7duxeOPP46TJ09i+vTpsn1++eUX/OEPf0DHjh2xePFi7Nq1C/v27cMjjzxidFqRMfp9N9qmSEvlvHbtGuLj47Fnzx68++67SEtLw759+/DLL7/YdJ1NZevnbMyLL76I//u//8OUKVPw66+/Ys+ePdi3bx/69OljsfxN/V5XV1fDyckJDg4Osu1Xr15FSEiIVf94/f39Zb87Ozub3W7su+Dq6mrTZ5SXl4ekpCQ4Ojpiy5YtBucKCAgwes8rKytRV1dnsD+g6TK65557sH37dqxevRqDBw82ef5Dhw5h7NixiIqKwtq1aw2azE2dX9tPq3t+7UPwH/7wB/j5+SEpKQlTp05F3759TTbrbtiwAVOnTsXYsWOxZMkSs3+o165di0uXLkldPC1h/vz5ePzxx/HYY49hzpw5stf8/PygUCisun7tv3dT+xr7nFqCpftny+enZek7qcvc/bOFLfevKddUUlKCsWPH4vz589i0aRMiIiKaXFYtIQRmz56NxYsXY8GCBXC8cuUKVCqVVKvQ1lJ1B8oBxi8yMDAQn3zyCT755BPk5+dj9erVeO2113DlyhXZQJmWEhAQYDCfFdDUjLTl0WXNE6n2H4yxP9b621auXInKykr88ssvsgEqhw8ftqb4Eu2DDKCpkTU0NGDevHlYvnw5pk2bBgBYvHgxunTpgp9//ll2HfqfS2vYunUrLly4gLS0NKlWDsDovMnWYOvnbMzixYvxwAMP4P3335dtLywstDjXvqnf68DAQNTV1aGyslJWy27Xrh22b98OtVrdIk/klhQXF8sGGJqTl5cn9bunpaVJYyh0xcTE4KeffsKlS5dkD7naAYa9e/eW7V9bW4spU6YgNTUVq1atwujRo02e/9ChQxgzZgzCwsKwceNG+Pj4GD3/0qVLoVKpZK1Yxs7fvn17rF27FleuXMGlS5cQFhYGNzc3fPXVV9K/LV0bNmzAlClTkJCQgJSUFOlByZTvvvsOzs7OSE5ONruftebPn4/Zs2fjwQcfxH//+1+Dv1naufzGBnMeO3YMbm5uUmCIiYmRtvfs2VPaT6VS4dSpUwaVhpZgzf2LiYkxWX7A8PtjzXdSy9L9s4Ut98+W7ySgCeZjxoxBTk4OtmzZYtBP3xTaYD5//nx89913mDVrFpQ//PADAEj/6IKCguDq6mowgMTY6GpdnTt3xtNPP2024UFzjR49Gr///rvB8X/44QcoFAqDwUjW8PDwQFxcHH755RdZbaeiogK//vqrbF/tl0W3BiGEwLfffmvzeXV99NFH8PPzw9///ndpFLdCoYCzs7PsC3rp0iWLn0NLMHadAPD111+36HlcXFyM1iSt/ZzNtTgoFAqD8q9Zs8bmpmhbvtfdu3cHAIMR5hMnTkRNTU2LJq8xRaVSoaCgQPYHyZT8/HwkJiaioaEBW7dulT2k6po8eTIUCgUWLlwo275gwQK4ublhwoQJ0jZtzXzr1q1ISUnB+PHjTZ7/8OHDGDNmDEJDQ7Fp0yb4+fkZ3e+ee+7BtWvXZKPUAWDhwoUICQkxWvtv3749YmNj4ePjg//+97+orKzE008/Ldtn48aNmDJlCkaMGIGVK1cafF/0Xbp0CWvXrsWUKVOMjly21YIFCzB79mzMmjUL8+bNMxmMtPdTd0R0RUUFfvnlF9x9991SQBk8eDA6dOhg8D1bvnw5rl27hqlTpza7zLqsvX/33HMPTp06JY38BjTf08WLF2Pw4MFSyxtg/XcSsP7+WcuW+2fLd1IbzLOzs7Fx40b069evWeUENHHnT3/6E+bPn4+vv/5aGpnv+Prrr2PSpEkYM2YMAM0fwlmzZuH7779HZGQk+vTpg7179+LHH3+UHbCsrAxJSUmYMWMGunfvDi8vL+zbtw/r169v8S+O1gsvvIAffvgBd9xxB95++22EhYVhzZo1+Oqrr/Dkk0/KRsba4p133sGECRMwduxY/OUvf0FDQwM+/PBDeHh4yKZfjB07Fs7Ozpg+fTpeeeUV1NTU4D//+Y9BFipb+fn54a9//SteeeUV/Pjjj5g1axbuvPNO/PLLL/jzn/+MadOmoaCgAO+88w46dOjQrKxy1hg2bBj8/PzwxBNP4M0334STkxOWLFmCI0eOtOh5tDW/n3/+GREREXB1dUVMTIzVn7OXlxfCwsKkWqC/vz8CAwMRHh6OO++8EwsWLED37t0RGxuLAwcOYM6cOWaf9oHmfa+1WZ12794tewKfPn065s+fjyeeeAKnT59GUlIS1Go19uzZgx49euD+++9v3o3UcfToUVRVVVl8uL1y5QqSkpJw8eJFfPfdd7hy5QquXLkivR4aGirdq169euHRRx/Fm2++CQcHBwwaNAgbN27EN998g3fffVfWvDht2jSsW7cOb7zxBgICArB7927pNW9vb+lB4/Tp09LfnPfeew9nzpyRfa8jIyOlGQsTJ07E2LFj8eSTT6K8vBxdu3bF0qVLsX79eixevFjWxaF9uI6MjERpaSnWrVuH7777Du+//z769+8v7bd9+3ZMmTIFwcHBeP311w1a2Xr27Alvb2/ZtoULF0KlUpltbs/Ly8O+ffsAXH+w02ZPCw8Pl1rmli1bhkcffRR9+/bF448/jr1798qO069fPylAvvTSS1i0aJH078HFxQUffPABampqZNOIHRwc8NFHHyE5ORmPP/44pk+fjjNnzuCVV17B2LFjZQ9epowePRrp6ekW+9FtuX+PPPIIvvzyS9x333344IMP0L59e3z11Vc4ffq0bCqoLd9JW+5fVVUV1q5dCwDS9zE9PR2FhYXw8PDAxIkTbb5/1n4nq6urMX78eBw6dAiffPKJNLtFq127doiMjJR+379/P3JzcwFoMucJIaTvz6BBg6QHnGeffRbfffcdHnnkEcTExFw/5l//+leDJAplZWVi9uzZIigoSHh4eIi77rpL5ObmykYU19TUiCeeeELExsYKb29v4ebmJrp16ybefPNNUVlZaXZEXnMSy+Tl5YkZM2aIgIAA4eTkJLp16ybmzJkjGy2oHbk8Z84cg2OaGsW/evVqERsbK5ydnUXnzp3FBx98YHQE96+//ir69OkjXF1dRceOHcXLL78s1q1bZzb7kDXXXV1dLTp37iyioqKkpAQffPCBCA8PFy4uLqJHjx7i22+/NVomU6Pc9bOVGbt2U6Pcd+7cKYYOHSrc3d1Fu3btxOzZs8XBgwdNvl+XtaPcc3Nzxbhx44SXl5cAIMLCwqTXrPmchRBi8+bNol+/fsLFxUUAkO5DSUmJePTRR0X79u2Fu7u7GDFihMjIyDAom/49ac73Wggh4uPjDWYXCKH5fP/+97+LqKgo4ezsLAICAsSoUaNkyTYAiKeeekr2PlPfZVOf8f/93/+JwMBAi4lRtO839aM/c6Curk68+eabonPnzsLZ2VlER0eLzz77zOC45o6pe9/NzXQx9u+zoqJCPPvssyI4OFg4OzuL2NhYsXTpUoPzf/3116JHjx7C3d1deHp6ivj4eKOjnrXfW1M/xv4tR0dHi/DwcKMJVay5Lt1/o9qsaqZ+cnJyZMfNysoSU6ZMEd7e3sLd3V2MHj1aHDhwwGgZfvzxR+lvWXBwsHj22WctzjDQSkhIsGpkvq3379KlS+KBBx4Q/v7+wtXVVQwZMkRs2rRJto8t30lb7p/235CxH92/ObbeP2u+k+bOrf+dsHRduv8mwsLCjO6jEKKJEw6JyEBKSgr++Mc/Ii8vz+zc2tbQ0NCArl27YsaMGXjvvfdu6LmJ6ObjamtELWjq1KkYNGiQ0alXrW3x4sW4du0aXn755Rt+biK6+RjQiVqQQqHAt99+i5CQkBu+2pparcaSJUtsXjGPiOwDm9yJiIjsAGvoREREdoABnYiIyA4woBMREdkBBnQiIiI7YHppszagpqZGWkOZiIjaJmdnZ9lqm7erNhvQa2pq0KVLF6tXhiMiIvsUHByMnJyc2z6ot9mAXldXh0uXLqGgoMAgZzMRtT4hBDbu2AFPNzcMHzDgZheH2qjy8nJ06tQJdXV1DOi3O29vbwZ0ohusorISx06fxrWaGtw1ejRcLax0RkSWtfmATkQ3hhACF69exbHMTOSdP4+wjh1xZ2IigzlRC2FAJ6JWpWpoQFZeHo6fOYPya9fQPSIC999xB7w9PW920YjsCgM6EbWoispKHDhxAtkFBXB0cICqoQHubm6IiY5GdFgYnJycbnYRiewSAzoRtagN27fDydERdyQkAAoFAKC9vz8Ujf9PRK2DAZ2IWlRkp07Iu3ABQYGBN7soRG0KM8URUYvqFRWFkvJyHDl16mYXhahNYUAnohbl7OSESQkJOPj779h37NjNLg5Rm8GATkQtLiggAEmDByMzN/dmF4WozWBAJ6JWceHKFbjf5pm3iG4nDOhE1KLqVSocPHECmbm5SBw8+GYXh6jN4Ch3Imq2zNxcZObkoKSiAtcqK+Hu5oY7EhLgx7TKRDcMAzoRNUtWfj627duHwX36oJ+PD/y8veHm6sp550Q3GAM6ETXZxatXkbpnD8YNG4awjh1vdnGI2jT2oRNRk128cgUh7dszmBPdAhjQiajJOoeE4OKVK6hXqW52UYjaPAZ0ImqyAF9fBPj6YtOOHVA1NNzs4hC1aQzoRNRkCoUCkxIScKW4GBevXLnZxSFq0xjQiahZnJ2c0NC4RCoR3Twc5U5ETSKEQM65czhw4gScnZ3h7eFxs4tE1KYxoBORzXLOncO+Y8dQU1uLfj17ontEBJwc+eeE6Gbiv0AissnloiJs3rULQ/r0QY/ISDg6ONzsIhER2IdORDY69Pvv6BERgZjoaFRVV6O4tPRmF4mIwBo6EdmoXqXCiawsnLt8GeUVFVAoFOgWEYGRAwfe7KIRtWkM6ERkk7uSknCtqgqXi4rg7uqKtenp6Nyhw80uFlGbx4BORDbzdHeHm4sLVmzejG5duiCcqV+Jbjr2oRORzYQQ2HnoEABgSN++N7cwRASAAZ2IbKRWq5Gxfz9yL1zA2GHDOMqd6BbBJncispoQAql79uBqcTGmjB4NLyaTIbplsIZORFbLu3AB+RcvYjKDOdEthwGdiKzS0NCAnYcOIS42Fm6urje7OESkhwGdiKxy7MwZODo4oEdExM0uChEZwT50IjKgVqtRUl6Oq8XFuFJUhCvFxSguLcWkhAQolawHEN2KGNCJyEDa3r04W1CAdv7+aO/vj77du6N9QAC8PT1vdtGIyAQGdCIy4OLsDF8vL/SOikJ4x46cmkZ0G2DbGREZGNCrFyI7dcLeo0exaNUqnL98+WYXiYgsYEAnIgOuLi7o36sXpt9xB+JiY7Fxxw6UVVTc7GIRkRkM6ERkkkKhQK+uXREdHo71GRmoq6+/2UUiIhMY0InIorjYWFTV1OB0Ts7NLgoRmcCATkRmCSGw/cABeHl4oDvnoBPdshjQiciso6dPo+DiRUyIj4eTIyfGEN2qGNCJCGq1GieyslBbVyfbnnfhAvYdO4bx8fHwdHe/SaUjImvwcZuIcKWoCNv27cOh33/HoJgYBPj6QgiBzTt3ImHQIAQFBNzsIhKRBQzoRITzV64golMnhLRvjxNZWSgpK0NdfT0G9u6NqPDwm108IrICAzoR4cKVK+gSGoreUVGIiY6GEAK1dXVwdXG52UUjIiuxD52ojVM1NODS1avoGBQkbVMoFAzmRLcZBnSiNk6o1VA1NMDFyelmF4WImoEBnaiNc3Jygo+XF4pKS292UYioGRjQiQhOjo6oZVpXotsaAzpRG1dfX4/isjJOTSO6zTGgE7Vxl4uK4O7mBi8Pj5tdFCJqBgZ0ojbuUmEhggMDb3YxiKiZGNCJ2riLV68yoBPZAQZ0ojastq4OF69cQecOHW52UYiomRjQidqwgkuX4OPlBR8vL5SUl+O31FSUlpff7GIRURO0+dSvJeXl8Pb2vtnFILopcs+dQ3jHjsg7fx6bdu5EvUp1s4tERE3U5mvov6Wm3uwiEN0UDQ0NyL94Ee38/LBl927EdusGR0dHeHt63uyiEVETtPmAvv/ECRQzQxa1QReuXIFSqcSJs2fRJTQUft7eCPD1hVLZ5v8sEN2W2vy/3NCgIKzauvVmF4Pohjt86hR8vbxQWl6OYf36oaisDAE+Pje7WETURG0+oE8aORJ7jhxBaUXFzS4K0Q1z8epVXCkqQmhQENoHBMDF2RlFJSXw9/W92UUjoiZq8wG9V1QUQoKC8Ctr6dSGFJWWIrhdO7i6ukKtVkvbAv38bnLJiKip2nxAB4A7ExKw6/BhlF+7drOLQnRDODs5oV6lglKhgFqtRnVNDSqrqxHAGjrRbYsBHUDfHj0Q6OeHtenpN7soRACA8mvXsHXXLvyWloaz+flSLbqluDg5oa6uDkqlEg1qNYpKS+Ht6QlnrolOdNtq8/PQAUCpVGJSQgIWrVqFu5OS4O7ufrOLRG3Y+cuXMff77+Hs5AR3Nzf8mpoKRwcHhIWEoF/PnhgcG9vsqWVOTk6oq6+Hs5MTamprUVRayto50W2OAb1RXEwMfk1NRfrSpZgYEgJ07QpERd3sYlEbUlxaik07d2L7wYOIiY7G7GnToFQqUVdXh8zcXBw5fRpbdu3CsnXrEBYSgj49emBInz5N6vf2cHNDVXU1/H18UFJejkuFhQzoRLe5Nh3Q1wFASQng7Q3l/v147euv4XXq1PUdRowAVq8GOFCIWplKpcI/v/0WHm5uuHfcOIwcOFCaD+7s7Ize0dHoHR0NQFOD33n4MPYePYpVW7agQ7t26NOtG4b07YuOQUEAALVajYyMDOTn56Nz586Ij4+XzS/39vSEorG53c3FBXnnzyMqLOzGXzgRtZg2HdDHABAPPAC4uQEbNsBLf4ft2zW19DNnGNSpVa3fvh1Crcbrjz0GZ2dns/t2DArCfePH477x43GluBh7jhzB4ZMnsX77dgT6+SEmOhquDQ04dvgwACA7OxsAkJCQIB1DoVBoaudlZQgKDER2QQFr6ES3OYUQQtzsQtwM5eXl8G5MoiGUSijMDToaMgTYtatlTpyZCZw9Czg4AA0NbNon1NTV4eWPPsJ948dj5KBBTT5OaUUF9hw5giOnTqHk3Dm4KhTSa/UAat3c4OzsDBdnZ7g4OaGquhqDYmIQ2qED9h87hkenTYNC5z1EbUF5eTl8fHxQVlZ226/r0aZr6FpmgzkA7N6Nb997D1WdOsHN1RVuLi5wd3WFm6sr3N3c4O7qCg93d3i4ucGz8b8uzs7yFJrFxcCMGcCGDYbHHz8eWLqUrQBtVFFJCaprajBiwIBmHcfXywvjR4zA+BEjkJqaim3btkmvxfbujc5du6KmthbVNTWorqlBWUUF8i5exNB+/dDQ0MBgTnSbY0C3Uv/CQpyMiUFNbS1Kystx8epV1NTVobauDrW1taitr0ddXR1UDQ0AAAelEk5OTnB1doaLiwse+fZbRJw+bXSeoNi0CWV33olz8+fD08MD7m5u8HJ3v/5QoK3VszZvl2rr6uDo4NCiOdQTEhKgVCpN9qEDgBACyzdswOYtW1BXVYVrhYVG9yOi20ObDugqWH8DBvTqhQF3321xv7q6OlyrqkJldTWuVVWhqqYG6pMn0fXkSZPvUajV8N25E5/95z847+0NVeMSlp61tXhs5Ur0OntW2je7Z09seOopKAMC4ObiAjc3N7i5uMDDzQ1urq7wdHMz/lDQVE15mOADiE1q6+rg6Niy/xSVSqWsz1ytViM9PR15eXkQQkChUCAsLAxO9fU4cvw4AE1f+5EjR9CnTx8GdqLbUJsO6JsBjB45Eo47dkDRWLM2SeePoznOzs7wd3aW58TOz7fqvX8fNw6YOBF1dXWorKmB29ixcMnJke0TfuoUJs+bh7Wvv47ya9dwpbgY1TU1qK2v17QU1NWhtr5eeihQKpVwdnKCi5MTnJ2d4eriAhdnZ7i5uMC1sevA1cVF03Xg4gJ3d3d4uLrCq64OHZ57Di66y8ta6how1q3A7gSL6urr4ejg0KrnyMjIQFpammxbTk4OfPUGwpWUlEj7JVj5nSeiW0ObDugTAZT98AO8H3/ceN82AAFAMWpU82qakZHW7de1KwDA+do1OE+eDOzda7CLUq1GyKFDmN2nj9kyaR8KrlVWorK6GlXV1Zr/1tSgqrEPtaqmBhWVlbhSXIza2lpU63QhPL5gARwbR0drNWzciKyhQ/HjU0/B1cUFrs7OmnEEjQ8FiW++icADB2TdCmLzZjTccQeUb7wBZXQ0a+xGOCiVUDU0QK1Wt1qtON/EQ6WpfnNT+xPRratNB3QAmprj+vWaqWmHDgGff66ZrtZIoa1hajWlOTk6Ghg/HmLzZqMtAcLBAYoxY64f7777ILZvh9khSllZZs/v7OwMZ2dn+DVl1GZmJvB//2ew2UEIdDt9GmMCA1HUrp30cFBRWQnVyZNov2+fwXsUDQ1w3LULuPNOAMDJqCj8LzkZal9f2UOBq85AQw9XV7i5ucHTzQ3u2oGG7u5wd3W1y2bgiNBQ1NTW4nJRETq0a9cq5wgNDZWmr2n5FxYi3tkZ2a6uOF5bC90JL507d26VchBR62FA14qK0vz84Q+a4J6VJQ/a1jYnZ2YC6emAQqFppte+f+lSKKZPN9oSoBgz5vpDQ2YmsHWr+WAOSLX5VqHTZ29MvK8vMGaMfOO6dVYdunt2Np5dtw77585FZeMYg5raWlRWVaGotBQ1NTWoqatDTV0d6hpbDOobuw8UCgWcnZw0XQiN06+MPRS4Nj4UaGcfeLq7a8YUeHi0zkNBM8cMuLu7I8DXF2dyc1stoOvWxF2rqnBvSgq6Nn7OfQHERkYiZdo0uIWESH3oRHR7YUA3Rhvcdc2Yoalh62wSmzZpgvT69ZqAP20aoNvnDACjRgHLl8tbArKyAEdHQKUyDAJr11oun7e3bYHD1oBjqYvA2MOEld0KioYG+O3ahbHt2ll9Darff0fdqVMo79ABFSEhuFZVherqaojMTChzclAUEICrPj6orqlBSVkZqhvHEtTU1qKuvh61dXWoq6/XnN/MQ4Gri4s0LdFNOx1R21rQ2ELg5eEBT3d3zUNBC44Z6BgUhLMFBc2ah25OQUGB9P/3pqQgQq+2HpGdjXuXL8euN99k3znRbYoB3RqZmcCGDQa1ZoVarfljvn8/8Le/QaSmGuwjtm69HvQB4w8L2nOcPQt8+qnl8pSXA/HxltPSNiXgaMsxYgTErl2yLgKDrgFdFroVDFjoMtAtv+OGDXAE4A4gePx44KuvgBdesOm6VCqV1D1QVVOD+t9/B7KyUNK+PQrbtUNNY/dBTW0tSsrKNK0E2kGGjQ8EdfX1UrO0s5MTnl2yBNFnz0J3OJt60yZcGDUK2999F90bGtDXycmqB6kuoaE4ZGYmRHN17twZ2dnZ8C8slGrmupRCoOvZsyi2wy4NojZDtFFlZWUiChCVy5cLkZlpfue1a4UATP/07Gn+dcD0OYqKhBg/3vL79X7USqXmfbpOn9aUVXuu8eOF2sFB/j6FQlNe/fIYK0dAgPz38eOFKC42fZ+Ki62/lvh408fSXseIEYbld3AQwt9fqPXvByDEqFHmP0dT12npuho1NDSIispKceHKFZGXmmr2+nIjI206x8HffxfPvvuu5fI3UUNDg0hLSxObXnzRbLlrVq5stTIQ3YrKysoEAFFWVnazi9JsbTqgW/0Hd/16mwOuwc/atcaPbSTo2vSTmWk8SI0YYfm9o0Zdv+YRIzQPCfrBMz5e/pBgjjYQb9yo+W98vMlrUzs4GD6QNPHhxqoHJzP322hZLLHwkGf0Xpo5x/YDB8Qrc+bYVoamOH3abLkv7tzZ+mUguoXYU0Bn+1ojsXkzMH268RctpYa1hrF+5w0bNE351jRRm5KVJfXv6xI7d1p8q9i6VdPvHx8PbN9ukAJX0dAAZGRo8s5nZWn6/40pLgYmTAC6dQMmTQLGjdN0HSxcCMXQoUbfomho0Fy/7jGNXIfN0tNNv6btOtG730bLYomFMQNG76WZc5SUl8Pbw8P685ugTSCzaNEipKenQ91YDpVKhYULF+KjlStxvndvCL1578LBAVfj4nCZ+QKIblsM6I3M/sG1ZsDXiBEQRjYLAOjfX75RGwAnTGhCSfU4OBgPUlY8hCgAYOtWiB07zO84frwmUEdHa8pcUiJ/3dgDxcaNEMnJwOuvmz92VpbmvyaCrc0uXdKMuNd+jpmZ13+3MHpfKos1tGMG9AOjpT5oE+coLS+HZwsEdG0CmezsbKSlpSEjIwMAsGTJEuTm5qK6uhqL77gDF3r0kL1PMWYMCv79bxSVlja7DER0czCg6zP2B1f7x9vI7gLQBLzVqzUJaPQoAODgQXkwbIGaqAA0I+ibGwABKISxKzNxXv2WDFO1XiGg2LHD6Hx2GW3LhaVgqz2/pYD5f/93/eEjMPB6q0F0NPD++9aVxVpLl2oGCepQDBvWpHOUVVTA29PTtvMboZ8QRvv75cuXpW01bm5Ykpys+ezWrtX8d/16+IeH42pxcbPLQEQ3BwO6vvffN6yBApo/3sYC9qhR10dXb9mi+eP47bdAr16GtbfNm4G7726RmqgCAA4f1gStG8igJcNCIBaHDgEBAUabeDF+/PXR39ZOexs2THNv9c/T+CPbVlQk/33XLuvKYi3tVETdwJiRYbzmbuYcdXV1yMzNRXR4uG3nN0I/IYz296CgINn2oKAgTVkmTpTKFODri5LycmnePxHdXhjQ9YidO433pesH7G+/1fz/li3yqVJRUcDIkcCJE8b7anWy0DVbcTHwl78YDSDWsL5eboS2JcOavuSiIs2a8rpGj5Zn4DPVhO3gAPTqBXzyidTXjxMnDKcQNv7ob5P93tAAFBUZ9OvLEvs0hV5gNFpzN3OO7QcOwEGpxODYWNl2U/3h5sTHxyMxMRERERFITEyUEsTMnDkT4eHhcHNzQ3h4OGbOnGnwXs9z5xBx/DjKDhyw5qqJ6BajEMKG9lY7Ul5eDm8fH9M7ZGY2Pe/4unWaZt4bZd8+4G9/M5mP3qTGFgeRni6fb65UQtGvH2DuD7vu/ZkwQZNkx0zAOfbhh0g7dw7+xcUo9vdH7L33GiYwKSnRPEyZy6uv+7uDA65FRuLYiBEY9v335q5Ubu1aTdO3fjbAlnbmDNJ//BFnXVzwyGuvmdztb59+iv49emDquHGy7enp6bIFVRITE1sn6QsX1aE2rLy8HD4+PigrK4N3U1Jl30JYQzfFlgFSWtoBWJZqy/HxlvuCbXH1qqbp11JAT0kxbF1YvtywNjl2LLBpk/VNx0uXWuw7PqtQoDggAFlRUYAQUP36q+EARN0m7P79De6RsRq3V2Ymhv3xj+avW582iGtr1boD51pSVBTc7rkHh1Qq1NXVGd1l79GjKCopwbgRIwxeM9Uf3lz6NX8xfbrhoMZNmyDuv79FzkdENwYzxZliywApYzWcgACI0lLjmdaWLoWib1+rl1W1uqzjxmmCsJGsdgKA4ptvrmes09JPSatbYzWSf95o07GfH7Bqlab5XW+UtPaa/eLi4Lp2rSyHOP71L+M1QSGAgwct57PXysuzajeDTHetWDNVq9XIyMhAXl4evBQKfPnjj3hwyhRpWd2aujos/e037D5yBHclJcHT3d3gGNrsbrq/N6cs+fn56Ny5M9RqNbZt2wYAKN27FwkbNxq8R6FWAxs3ar4XXCGP6LbAJnc90h99/cBnzoQJBilPhVIJhZ+fpv9YSzdYvPuu5RHgFhgt6759QFyc6Tc1pSvBWLDXZ6rZPSAAOHMGah8flA4ZAt8DB6DU2cfoNdjaZfHtt8Cf/mR5P/1gbexza8rnb4R+c7mjlxfyy8rg7ekJT3d3lFdUwNXVFY9MnYpIE4FaPxDHx8dDqVSa3G5tWfz8/FDSOPCz65kzmLlkiekL6d8f2LyZTe9kt+ypyZ01dD02D5Ayl+e9qEhTyzG2CEsLLMJhtKyFhebfZE0OdX2m8s9rmbgHADT3oLAQyqtX4W9ieVVp1LyNI96FgwMUCQnAwoXmd/z2W/nKd2bKbLQ8TaDfPN65XTtMv+8+XC4qQllFBRwcHJAUFwdHR9P/BJVKpdE+c+1ccwBSDV5/P92gX2Js1kajYguBWhw+LF+LgIhuWQzoWv37A19/DQwcaNv7LM2fVqk0fbVaxpp5bSAAKPr3B376yXjAacpKac3VEglbdB80rFzoReHpCVRVQezebfRhQqptz57dtDI3I6Abay6P6NQJEZ06NfmYWtb0resGfX2xsbHIy8tDbm4uigMDkRUZiYjsbCiNNNZJCxCx6Z3oltemB8VFAahavlxTWztwwPZgDtgeQC0llRkwwOzhFEOGaJpATf1xNTf9qylzra1hzT2w9T4ZmfploKwMMBHMgcY566ZaW1r5wcfU9DEtU1PSrNmuP33NWN+6sSDv6uqKxMREjBw5UtZEnzJtGi4FB5u/oKYMEiWiG6pN19CzAKjGjtWsL95UJmqTRpcaNdc0DWia53NzgcceM32+v//dcn+mtYPZWoq198Da+wRcH6y3caPmQaQpHnjA9L2y5XPTZeXa8vrN5Wq1Gqmpqdi7dy9UKhU8PDxQVlYGQN5sbqo5Xb/GHR4eDqVSKfWh69NvIQA0a8Fry6T7eo2bG7aMGoVkc33pZroGiOjW0KZr6C3G2kQilpp5X3vNfDAHrKs5Gstgtn596w5ssuYe2JhwBUCLpLY1yZby6C9AYyqvvQkZGRnYtm0bampqoFKppGCupa1Rm2pO19+uVCqRnJyMhIQEaaBcWloaPvvsM3z22WdoaGiAj96gT91scfHx8QjXyUxn8Q8Bs8cR3fL42N0SzE390mWhmVccPmyy9m6x5miMpcFs1rCyRmrVPdDZR52Zif2lpTitVqPz0aOmR2pbOUDOKEtJWKz93ABNV8mmTfLENps3Wz1gzNIccm2zuampapamsGVkZCBdZ6W5jIwMODs7w8fHB7W1tQgODpZlh1MqlbL7bWlwXKuMvSCiFsWADlgftCyxFEAtDPYyl2mtVZvMjWnqHG1rHiKiopBx4QLS9u8HYHqkNoDr98xcV4UegcYc+9Y0mwuhWXJVoQAuXgTefhu4dk0znuIPf9AcY+/eZo+IN9YEDmimkPXp00dqNtf+V3dKmrntWsYeGOrq6lBXVyfLMKc7+l23L97U4Di1Ugnl2LEcEEd0G2jT89DDfXxwefRoOG3Zcv2F1k55aSG9qVHffmt8pHZrasU52gCwaNEiWYCLiIhAcnKy8Z1LSjTrtm/davCScHCAwtfX9Hx/XU2ZYTBypCZZztGjpvdZu1Y+k8EI7aC2jIwM6P6TM3vdNkhPT8fR5cvhX1KCYn9/FAcESK916dIFYWFhUhDPzc2VXgsPD0dpaSlKS0vhWl2Ne5cvv574B4B63Dgof/qJ89DJbtnTPPQ2HdB3+vhgvINDqwUts2wZ7LVhg6YvuTXzjuvKzNT0FZt7vZnlaFKe8v37gYceAk6cuL5NG7wLC61LfmNhKpw+/fzxRtlwP1olP3txMcT06VDoZHzLioxEyrRpqGlcjEU3iOuKiIjAzJkz5YlqgoOBrCysLihA37vuQnjHjs0rH9EtzJ4Ceptucp8AGAy6aqnEIhZZEVSk2qdu4B8/HnjnHU0Aa60Ab80cbSGa1U1hqQnZqIEDgePHjfd5+/k1PfmNGRb379/fputv0nVbMmOGJi+/joicHNy/ahWyv/oKBQUFJt/auXNn4wlsunVDyNGjOJ2Tw4BOdJto0wHdrGYmFrHIisFeCl9fiJIS+UCsDRugaO1VsSyV7Z//1Kz73YwymMqCZpWmDPaz9JDSVF9/bdPuzbpuY0w8qCjVaoSdOoXLFy6gVC+/vqUpb1rdunTBz2vXorqmBm6uri1XZiJqFZy2Zkprj+oNDNTkOdcjlEpNrW/DBs3a3XoD5QwWXdm82fj67c1hLjlNQIBmzfjWLoMxzVkVrTmj5Y2QEvU0JRlRS7LwoHJm3Top9aufnx8SExORnJwsm/Jmio+XF9oHBuKMlYvfENHN1aYD+nrgxmZU0zVjBoSROcwKPz9NJjgr+3llXQQtydgc7UGDNA8Z5ropbGFtgG7mHHAAJh9SmuqGzzowxcKDSrG/v/T/5eXlGDp0qNkgrq97ly7INNH/TkS3ljYd0KcDUCUmyrY1+w+1NUFK20xqbJpaUZFmxbRz52w7b0un5jSWnMbEmt42l8HWAG0kXW6TWgWsSSdrjY0bWz9Rj7XMtKac791bNtq9oaEB//nPf2w6fOcOHVBYUoKa2toWKS4RtZ423YdeCqD6l1/gdPmy5RHSltgyb9tSf67OIDirRlkD2FpYiJKNG9E7KgpRYWE21cLM0vZX790LHDxofl9ruykaA7RVSVo2bGi5VdGMJZIBNPPQAU1609RUzeu7dpk+zq2QNU13Lr2JVL8ZkycDV67I3lZeXm7Tadzd3ODr7Y2LV6+iS2hoixSdiFpHmw7oEwAoz54F+vVrfhO7LUGqBftz1QoFyoYMQfDQoQgCsP/4cRw8cQIDe/dGZOMI5hbx5JPmX7d2tLeFZUtXzpkDv7g4xPfqBeWsWZbnjLfEcrC6///QQ5an7d3MrGnmHhz1pu51SE/Hab2A7uXlZfMpQ9q3x4UrVxjQiW5xbbrJfR0Az/79be+P1acNUrb0Lffvb1V/rqXaubJfP/itWYOeXbuiV9euuH/SJPTt0QN7jh7F/9avR1Z+PpqdaiAz03Lt3NrR3hZaJyqPHEFaWhpKJ00yvyqdVmsEVwsr1qkjI42uiGYrUyurmWWu+yEqSpPgpvEBJT4+Hp30lmuNjY21uZwh7dvj/OXLNr+PiG6sNl1D17IlJ7dRlprQ09I0NafAQOD//k+qXdk6J9oovSxeDg4O6BEZiejwcJzKycGuQ4dw4PhxDIqJQZfQUCgUTTirpevr39/60d5WDOLyLyyE/759ZvdrUm57W5hZsU5/RbTc3FzZNDBrW0VMraxmkoXWDf3uB6VSCScnJ9m+58+fN1sm7UPGsWPHAGgeAOL8/HA6PR01nTvDtVcvq66NiG48BnS0QDIZS03oOiuo6feJC6US9VFRONK3Lwb9/LPJQwhTGe1MlNfBwQG9unZFty5dcPLsWWw/cAAHTpzAoJgYhIWE2BbYLV2fLXOxTS1bqlTibJcuKA4IQFcrRsvbPHjR1nz9ZhZu0c+brs3Clp2dDSEEEvUGWppiamU1k6xJ+KN3bZYWddGnXRUOAFyrqhD62WdwP3sWdwDAhx+2fmpkImqyNt3kbqCpI8VNNdE2/ugyqF2p1XA+fVoK5vr7CwcHYNQo25cdbeTo4ICY6GhMv/NOdOvSBen79iFl40bkXbhgfVO8qetTKps2F9vYaPMxY3D5k08QERGBqAkTzL9fd5S5pVkF5kbUWzMjQa8ZGzAfFI+ay/muR/84loKtxQcrI90P8fHxSExMREREBBITEy1mptN9qLg3JQURegvK3LCcA0Rkszady91bb73oZuUob8qiK0YYjGrXrRFZs8ynBfUqFU5kZeHQ77/Dx8sLg3r3RmhwsOUau7Hra25tzdz1WFocxtpZBcaOo1Rq5vtbs6CLEborll24cAE1NTXSa35+fnj66afludFNNMPrHsfq5vpWXjRHm2vev7AQz3zxhekdWyCfP9GtwJ5yuTOgo4UXZNEGqfPngT/9qenH+fZbzXrerfRHs76+HsfPnMHhU6fg5+2NQTEx6BgUZPmNTX2osLXJ29IDhDWBzdJodR1N/Q6kpqZKTdQAMHLkSCiVSpMLsDQpiOtqjQcrHdo+9PKff8Zkc10pVqwwR3Q7YEC3A7Iaemv0C9oQTIy6QX8w6+rrcSwzE0dOnUKAry8GxcQgpH37ljtBU9dV1zL2AGHtanDr1mma2W1hY83TWIBesmSJyaVhW2y1tRZordFlcB1BQVD26GH6Dayhk52wp4DepgfFTQSw7OBBePbr1/IHj47W5D0vKpIPgoOVo9tv0FxnZycnDOjVC72jonD09Gms27YN7QMCMKh3bwS3a9f8E9gyP98YYwuxWDs4rAnz/Y+tWIHDHTpYXXs2ttiKuYFoNg+EM6UpC9SYYTDiPjERXXv3RocTJ6DUeeYXSiUUY8cymBPdgtr0oLj1ANQtvGiHJDNTk/dcb7NVwXzEiBv+B9PF2RmDYmIw8667EBQQgN/S0nDo99+bd9CmzM+3hrWDw5qQvz3t3DlkZ2cjLS0NGborytnA3EA0mwfC3SD6DxZHjhxB+hNPIDsiQr5f9+5QL1lyI4tGRFZq0zX0ZtHvE9b7vfrECbg15bi+vsDq1S1cWOu5urggLjYWXUJDsWrLFnh7eSFSLzmJ1Zowzcoqpqa+GZvKZ2Q+OZycIOrrDVpOaj09ZbnPm1p7NrdEqtH10G0dX9AK9FsVSkpKIHx9sSQ5Gf5FRfAvLkaxvz+KAwIw/NAhjGmJnPhE1KIY0G1lrE84IEA2Yrp4yBCk33UX7mnK8b/++paY49vO3x9jhg3D5p074enujiAjS71a1IRpVlYzk/hFRn8+eWO2N2MtJ67XrsG/qEgK6q1Re5YF++JiTR9/a69vb4X4+HgcOXJEWmoVgDTzoTggQPagczYnBwznRLeeNt3k3iTGUm/qTn8C4Lt3L+7YssX03G1zWqM/v4nCO3ZEXGws1mdkoPzaNdsPYCGFarNqo8ZWgzO3App2PrmFZWl7ODmhS5cuVs3ZbjYrVpFrUnrYJlAqlejTp49sW2xsLBITE+Gnd09dPTxapQxE1Dysoesz1/xpKvWm3u9KtRrOW7cC+/ZpXtOtRY4dC9TXQ6Sn25T57WaJiY5GaUUF1m3bhnvGjoWzXipRi6ytSTeV7uCwzEzNymkKhekpfxZaDU7W1yOmc+emjTw3x1gXjRVpXG1OD9sMxroDlEol4uPjpRHw3r6+qGpK+mAianUM6Fqmple9845mFauuXS33Ceu7etV4+tCSktYNci1IoVBgRP/+WJuejk07dmBi4zxrq5lJodpiiouBadM0S5/qGjUKWL5cXms30f+uViiQHRGB4oAAHD161GT6VlPzyE3OLzf1vXrkEfPX1Di+oMVGxVvBVN+/7vaa2losWLECldXV8HBr0igRImolDOhaxqZXbdgAhe4f4hEjbDumto9Yf4rRjQhyLUipVGLs8OFYuXkzth88iPgBA2xf5KUlp1np13ZnzIBITTWo7YqtW41PjzPSapAdEYGUadOk300FaFM1ZpM1aVPT9iorzV9j43fH1lzsrc3VxQWBfn64eOUKuoaF3dSyEJEcAzpgdVO62LkTNV5ecKmshFKnL9NgwRVrm89beC5xa3JxdsbEkSPxy6ZN8PP2Rkx09I0vhLHa7ogRwPbtRqcDSt0d+ovu6D1Q7S4sxAadoBkTE2MyQJuqMRvdbq5Zfft2YMQIiF27zHa9GB0V34KsyVynv09wYCDOXb7MgE50i+GgOMDqpnSFWg23igoohw2Tb9cbAX6rNp83l7enJybGx2PPkSPIs7AMZ6swNohs507L7zO16E7jQLm4mTNl88bNBW5T88iNbrf0vXrmGYuL7mibu5OTk5GQkGBbd4cVtA8u5ube6+9TduUKzubno66+XrZfRUUFXnnlFYwbNw7t2rWDQqHAW2+9ZXC8zz77DEOGDEFgYCBcXFzQuXNn3H///Thx4oRsv8rKStx///3o1q0bvLy84OHhgV69euHdd99FpYUWjr/97W9QKBTo3bu3bHvv3r3Rw0gGvBUrVkChUGDo0KEGry1atAgKhQKrb+J0UiJrtOka+hUAZceOIbOqCjatF/b665omUd3m8tuk+by5ggIDkTh4MDbv2oXJo0cj8EZNrzJV27Vm1Lej6a+5/vrfnRrn3Jtq6jZVYza63dLqff363fSuF2v66PW3FRcWwjcoCKdzcmQtNUVFRfjmm2/Qp08fTJkyBfPmzTN6zqKiIkycOBF9+vSBn58fsrOz8cEHH2Dw4ME4cOAAujWm9a2vr4cQAi+++CK6dOkCpVKJbdu24e2330ZaWho26z3caR0+fBhz585FkJG1CZKSkvDFF1/g0qVLCA4OlranpaXBw8MD+/fvR0VFBby8vGSvKZVKjBw50uj5iG4VbTqgBwKomTABZzZtQoO/P5TFxVZlcqsKDYW7fnP5bdR83lxdO3dGeePI96njxt2YwVG2DkjUpVKZfEl3/W9Ak2tdoVAYDdDmmqeNDiizNgHOTfruqNVqg2lwxvrojT3cdAgLw4Hjx9E7KkoaTxEWFoaSkhIoFAoUFhaaDOj/+Mc/ZL8nJCRgyJAh6NmzJ5YsWYK3334bAODr64ufG5cV1hozZgxqa2vx0UcfITs7GxF6mexUKhUefvhhPP744zhy5AgKCwtlr2sDelpaGu6//35pe1paGmbPno2vvvoK27dvx0SddRTS0tLQr18/+Pr6Gr0eoltFm25yVwBwu3YNo06ehIMVwVytVCI/Nha5HN2Lfj17omNQENZt24Z6vabXVtGcFL1mEtiYqpEaa+q21DytVquxd/FibHnpJexdskQTLI2s/W6qS+ZGzTnXysjIQG5urvS7q6ur0SBvLJVtZKdOqFOpkH/xorSfQqGwfbBko3aN6wY4mmlNsWbfDz74AMXFxXjvvfeMvjcxMREKhUK2QE5RURGOHTuGO+64AwMGDECqzmyJgoICZGdnIykpyZbLIbop2nQNXbJ1q1W7FQ4YAI+ff0bnLl1auUC3PoVCgYRBg/BbWhq27N6NccOHt3j/royl2i5gXSpYPfq1T+02Y8w2TxcXo3TCBMTt23d906efwn/DBqub1W/knHOD8gOoqanBtm3bDFobTE1n6xkZieOZmQgLCWnS+RsaGqBSqZCTk4PXXnsN7du3x8MPP2ywnxACDQ0NqKqqws6dO/Gvf/0L06dPN/icfv/9d7z77rv45Zdf4OnpafSc/v7+iI2NlQXt9PR0ODg4YNiwYUhISMBWnb8H2v0Y0Ol20KZr6JJRo8y+fPDFF3Fl926037sXAQzmEgcHB4wfMQIlZWXYfeRIyx04MxN4/nlg8mRgwYLr283Vdm2oCeuKj4/HyJEj4efnBz8/PyQkJJgcSa4fQIqLi7Fw4UL88MMPOJ+QAN/9+2Wv+x44cD3rmzZTnZmHC/0Au2fPHptr6rbU8q19cDFGpVLh2L59OJCRgXnffQeVmW4NUzw8PODq6ooePXrg5MmTSEtLk8Yw6Pr555/h5OQEHx8fTJw4ERMnTsQPP/wg20etVuORRx7B1KlTMcnCkrlJSUnIzMzExcbWhbS0NAwcOBAeHh5ISEjAwYMHUV5eLr3m4ODQ+lkDiVpAm66hCwDC3x/Khx9G7eLFcEpLk01HUyuVqB05Ev3mzm1yU6K9c3VxwcSRI7Fi82b4enmhZ3PysxcXA3feCezadX3b6tXAn/4E7NsH9O1rvrbbhAFmSqUSSUlJVtXAtH/UtTnPS0tLUVpaCv/CQnQ8ftzw2Gq18WlzJui3FlRXV0s1dmtr6vq1/N27dyMuLs7oCHn969EthyVLlixBQUEBAOD8uXNYsmQJHnzwQavKqLVz507U1dXh7Nmz+Pjjj5GUlIQtW7agV69esv3Gjx+Pffv2oaKiArt27cKHH36IoqIirFixQrqmf//73zhz5oxVI9GTkpLwySefIC0tDdOnT0daWhruuOMOAMCIxlwT27Ztw5133ikFe91BckS3qjYd0AsBXFq8GJkbN6J8xgyMKSpCJ52apmLsWLgtXapJJUom+Xp7Y/yIEViTng5vT0+E6owetsmMGZp52XqbhUoFRVwcUFfXuEEYvFUSFQV1ZKRm8Nru3QaD16yZd22Ktuk5Pz9fFgD9df7fKCtXldMG2D179qC6ulrabm12OLVajSN6LSWmmtGB69ejm9rV2rnuly9flv1+6dIlq8qoq3///gCAIUOG4O6770bXrl3x+uuvY9WqVbL9/Pz8MHCgZh5KUlISIiMjcf/992PVqlW45557kJ+fj7///e/44IMP4OzsjNLSUgCaVgS1Wo3S0lK4uLjArXHsi/bhJjU1FePGjcPx48fx0UcfAQC8vLzQr18/pKWlITY2Fjk5OfjjH/9o87UR3QxtOqC3B/CvCxfg5u4OhYcHMt59F3FuboioqYEyOhqKNjJqvSWEtG+PkQMHYuOOHZgyZgz8fXxsO4CJaWlAY4KY+nrgiy+A336zuDpZenq6NHI9OzsbarVaqoG3RD+1fk262NLUPStbLXSDru6gLWuzw2VkZMgeNHTl5eUhPT3d+hH6FgQFBUkD6goL/dEgIqxtiDDKy8sL3bt3R2ZmpsV94+LiAEDaNzs7G9XV1Xjuuefw3HPPGezv5+eH5557Dp988gkAwMfHRwra2ilpw4cPl/ZPSEhAamoqYmJiALD/nG4fbTqgA5om45joaESFh6O9vz+b1puhW5cuKNNOZxs7Fm6urta/2Zppae+/D3Hlijwr36ZNuJCQgKzPP5eClHZOudaxY8ekP8otkRtdW4M9fPgwSktLURwYiKzISETk5MgzCJoZlGeupaCp2eHMXYsQokUH3M2cORNff70Mn302GJmZmqlj//ny+vOVrQoLC3Hs2DFZYDVFO1Cta+ODUt++fWWD3LSef/55lJWVYf78+QgNDZW9lpSUhLlz5+LHH3/EgAEDZE3qCQkJ+Pjjj7Fy5Uo4OTlZVSaiW0GbD+jT77jDYHlIarpBMTEou3YN6zMycNeoUXDUWzrVJGumpV28aDSxTMdjx/BLSgoAy0GqJXKjG2uqvvzJJ4j8/HNg48brZTMzKM9cS0FTasyA4bW5urrCzc0NMTExUn+3VlMXeVGfOoXjq1bhUEUFvkiZjaws+f3btEmNpKQreO65dQA0I8+XL18OAJg0aRLq6+sxduxYzJgxA1FRUXBzc0NmZiY+/fRT1NbW4s0335SO9fXXXyMjIwPjxo1Dp06dUFlZiYyMDHz++ecYNmwYJk+eDEAzX93YYjq+vr5QqVRGX9MG9BUrVuCll16SvaZ9gFq1ahWGDRsGDy4XS7eJNh/QHawNOGQVhUKBxLg4/JqaitQ9ezBm6FDrWj2009KMNLsLAAoHB7NrmfsXF0tBKjY2Funp6dJrsbGx0v+3ZG50g8B7551WD8prjVXUTC1/Cmi6IXJycqR9bX6Qacyjr9ywAbEAXBGFU3jXYDe1WokjR4LxyCPvAwCWLVuGZcuWAQBycnLQoUMH9OnTB9988w0KCgpQU1OD4OBgJCYmIiUlBT179pSOFRMTg99++w1//etfUVhYCEdHR0RFReH111/Hiy++aNWcdVPi4+Ph6OgIlUpl8PDk6+uL2NhYHD582OSqe0S3IoUQ5kYY2a/y8nL4+PigrKwM3t7eN7s4dqe6pgYpGzeiW5cuGNTYF2lRSQlwxx3yUe6AJnXr8uXAlCkm3/r5M88g9t57kZCQ0KyBb1otcQxz0tPTZf3k2hzyraXZ1zNhgmye/zpMwCSsM7n72rWaWXpEtzp7igVtvoZOrcPN1RWTEhKwcvNmeHt6ops18/f9/ICdOzW13P/8R9Ovfs89wEMPaV43llhGqcSFXr0Qe++9Ug21qU3Wulo7yUtrr6Kmr1n3xMiAxUiYH/PQnNmLRNQ0DOjUavx9fDB22DCs374dXh4eCGnf3ro3RkUB//634XYj65grxo5Fx6VL0bGFx0G0RpO4rpZ46LhhjAxYjMYZjMd6bMYYNOj8GVEo1BgzRiAqil1ZRDcaM8VRq+rUoQOG9+uHDdu3o6yiQlPbW7dOUwu3lXYd88xMTZtuZqbm98ZgrlKpsHDhQnz00UdYuHBhk7KXaZlaJrVNMjFgcSmmYwzkK57FdM3BBxMXNe3zJaJmYR+6HfSb3A72pqUh9MUXEXLo0PWNRuaQN8fChQtli42Eh4dbzF5mqm+5tfvQW1NTy272fXp96ACgViiQHRGBzyY9B3VZOzxwaBnijv0ivS7GjYPip59a7PMlag32FAtuj79QdNsb9Pbb6KAbzAGIDRuAadNa7By62cv8Cwvhnp5usaZoagU1Y6ut2eJGr5ymy9KqcE16n5Fc+dkREUiZNg2enhfxwG9Pob9OMAcAbN58PZc9NHPhv/32WwwYMADe3t4ICAhAQkIC1qxZY7Q8eXl5eOSRRxASEgIXFxd07NgR99xzj9F9V61ahYSEBHh7e8PDwwO9evXCN998I73eu3dv9OjRw+B9K1asgEKhwNChQw1eW7RoERQKhVXpZIluBQzo1PoyM6FITTWcQw5oVrproebZoKAguFZVYeaiRXjmiy9w3/z5mulwEyZoRtAb0Vp95U0Nqi2hqddk9n163R0L33gDS5KTUePmBo/z5xFXXGwwIEehm8sewJtvvonHHnsMcXFxSElJwYIFC+Di4oI777wTv/wifxg4fvw4BgwYgOPHj2Pu3LnYtGkT/v3vfxvNGfHBBx9g6tSp6N27N/73v/9h9erV+POf/4w6bapgaOadnzp1yiBFbVpaGjw8PLB//35UVFQYvKZUKjFy5Eir7h/RzcZBcdT6dOaEm3y9BdLszpw5E5f79UMHveVQxebNmsF069cbvKclEs0Yox8cjxw5csOa75t6TVa9LyoKiIpCZ1dX5Dam1w2zNFahMZf9999/jxEjRuA///mP9NLYsWMRHByMhQsXYurUqQA0Nfnk5GR06tQJGRkZcHFxkfbXz6t+4MABvPHGG/jnP/+JV155Rdo+evRo2X5JSUn44osvkJaWhvvvv1/anpaWhtmzZ+Orr77C9u3bMVFnrl1aWhr69esHX19f89dHdItgQKfbmm6/bzeFAnFGVj1TNDSYXPVMO10sLy8PQggp53lzg65+cCwpKUFJSUmLTIGz1Eduy5Q43WOFhoYiISEBBQUFFt+n7YbIz89HdGQk8OOPpgvcOIdNuwSqLldXV+lHa9u2bTh8+LBUgzfniy++gIuLC5555hmz+yUmJkKhUMgCelFREY4dO4a5c+diz549SE1NlQJ6QUEBsrOzDbLIEd3KGNCp9VkIXgcCA9G3ocFk1j5zAUx3vrjyzBnEmTuRkVXPtH3luoletBnVdIOurQPNdIOqNphrNbdZX3+OvFqtloKrtmxNXW41MTERycnJFt9nMO1u8WLDQXNKJepGjoRr4z1/7rnn8NJLL+G7777D1KlTUVNTgzlz5qCsrAzPPvus9D7twjpeXl6YNGkStm7dCkdHRyQmJmLu3Lno3r27bN8ePXogJSUF77zzDrKystChQwfMmjULb7/9NpydnQEA/v7+iI2NleV8T09Ph4ODA4YNG4aEhARs3bpVek27HxdmodsJ+9Cp9UVHA6NGQX86hQBQn5CAbFdXrN66Fdeqqoy+3Vx/tG5wbM6qZ6b6j7WD27TNtdb0iesH/xi9THnNbdbXL+uxY8ea3F/fYmMIjAyaqxg6FFuefRbaiTTPP/88vvzySzz11FPw9/dHSEgIFi5ciF9//VW2AMr58+cBAA8//DBCQkKwZs0a/Pe//8Xx48cRHx+PixcvyvY9c+YMnn32WTz77LPYvHkzHnroIcydOxcPP/ywrDxJSUnIzMyU3q9d69zDwwMJCQk4ePAgysvLpdccHBxaPeEPUUtiQKcbY/lyKMaPl21SjB8PpxUrMGXMGPj5+GDZ+vU4Z2RdbXNBRzc4FgcGonjQIAi9mr5wcNBMkTPTT68fZNVqNRYtWoRFixYhLS3NYFlSc4FP/wFEoVAgMTERERERSExMbHaQsPRAYEtQNjff3qaR+o2D5op378ZEAJ89/TTcUlNxRQjpM50/fz6ee+45PP3009i8eTPWrl2LcePGYfLkydigkyxIe56hQ4di3rx5GD16NGbNmoWVK1eisLAQX375pWzfiooKfPXVV3jqqaeQlJSEd999F8888wx+/PFHZGVlSftqa9vaFom0tDQpV/uIESMAXG8d0AZ73VXYiG51bHKnG0M7StrI4iVOABLj4hAcGIj1GRno26MHBvTqJS3qYm6wln5/se/TT0Mxc6Ysm1xJ//7YNGUKgs30jeseR61Wy+azG2MuqOoH1IKCAquasa2lf81CCNliNLa0AJjrb29K+lt1ZCTWAxgcEABnJyf06dYN+48fh4eLC5566inMnj0bc+fOlfafOHEiEhMT8cQTT0hdHQEBAQCA8XoPgH379kWHDh1w8OBBaVtAQAAuXbpksO/EiRPxySef4ODBg9Iyq9p+/9TUVIwbNw7Hjx/HRx99BEDTvK9dIz02NhY5OTkGA/CIbnUM6HRjNY6SNqZ7RAQC/fywcccOXC4sxKihQ+Hm4mI26BhNoarz4LC3uBjrsrKAy5dxqnGeurGgpHucRYsWmSy+n58f+vTpY7aW3Voj57X0r1mtVkOhUDQpL7y5FLTmWkYyMzUZYS0sKofe0dE4cvo0MnbuRHV1NQYNGmSwj3Z1vODgYJSWliIoKMhgHyEE5s2bh6tXr2Ljxo0ICAhA79690aFDB9lUtMrKSjz66KPYvn07ACA5ORn/+Mc/MH36dLzwwgtS0NZOSdNt6ndwcMC//vUv/PTTTwCu1+h79+6NhoYGnDx5UlamFStWYOrUqRgyZAh26S0otGjRIjzwwANYtWoV7r77btM3iKgFscmdbimBfn64d9w4ODo6YvmGDbhcVNS0JC9RUcDEiTit10xsTXO0fgAODw+Xmsuffvppi2WIj49v0SZ2S5qbBMcUY83xxcWaaf3dugGTJlmc5g9nJyf07d4dl8rKAAC7d++WvS6EkBK4vPXWW1i3bp30gPH9999L+2nnsKtUKsyaNUsaAX+oMVnRunWald/q6+shhEB0dDSUSiW+//573HvvvXj77bcxefJkJCUl4cyZM/jxxx8xYMAAqUn98OHDOHDgAABN5jAnJycp2HMOO902RBtVVlYmAIiysrKbXRQyQq1Wi0MnT4pv/vc/cSwzU6jV6iYdJy0tTbz11lvST1pamsX3NDQ0iLS0NPHDDz+ItLQ00dDQ0KRz3+6M3Yfx44VwcBACuP7j4CBE//5XxLJly8T3338vAIj77rtPLFu2TCxbtkyUlJaK71NSxIRJk4RSqRTPPfec2LBhg1i9erUYPny4tL+uqKgoAUA88MADYv369cLX11e4uLiIzp07i6KiIiGEENXV1cLb21v4+PgIHx8f8emnn4pNmzaJV199VTg4OIinn35aOt4rr7wiAIh58+YJAEKhUIiXX35ZCCFEfX296Nu3r3j88ccFNGM1xfDhw6X3pqSkCABi6dKlsjLGxsaK5557Tjg5OYm1a9fKXouIiBADBgxo0c+DWoc9xQIGdDv4EO3Z+cuXxcIVK8SmHTtEXV2dze9ncG45p0/LA7nhT1cpIOr+5OTkiIMnToilv/0mPvroIxEbGyu8vLyEv7+/aN++vXBxcTH4bH/88UcBQERERAhnZ2ehVCpFSEiIKCgokO0XFBQkJk+eLB5//HERFBQknJycRHR0tJgzZ47ss54zZ44AIE6cOCEcHR0FAPHbb78JIYR45513ROfOnUVFRYXw9PQUAMQbb7whvbeoqEgoFArx+OOPS9sKCwuFQqEQGzduFEOGDJEeDoQQIj8/XwAQL730Uovef2od9hQLGNDt4EO0d5VVVWLl5s1i6Zo1oqi09GYXp81au9Z8QNerpMrU1dWJ71NSRO7587LtQ4YMEYMGDTLY//jx4wKA+Prrr4UQQnz88cfCwcFBzJs3TxQXF4sLFy6IF154Qbi6uort27cbvF+tVov6+npRVlYm1q1bJ4KDg8X06dMN9jtx4oRwcXERa9asEUIIkZCQIHr16mWwX58+fUR0dLT0e0pKinB0dBTXrl0Tr776quwaFi5cKABIx6Rbmz3FAvah0y3P3c0NdyUloUvHjvhl40Zk5eXd7CJZ7WYu0mINW8pnYhVVicE0f52lch0cHOCmVmPZ//6HtLQ06TxFRUXw9/c3OJZ2W1FREQDr57Br/fzzz1JmuokTJ2LixIn44YcfDK79kUcewdSpUzFp0iSz18Y57HQ7YECn24JSqcTgPn0wZtgwbNu/Hxn796NBJyvZLSkzEyfmzsXRlBRpTvqiRYtuqaBuyyIy0dGa6fz6Cf0MpvkXF0OMHy8bOZffqxfy9u9HZVkZ0tPTZefRTk80RvuatXPYtcaPH499+/Zh69ateO+995CSkoJ7771Xdu///e9/48yZM/jkk08s3ifOYafbAQM63R4aa3vhVVWYNn48LhcVYdXWraiorLzZJTOkMxQ85tVX8cznn2PmokVwra5Gbm7uLRXUbc0Ut3QpoJcQDmPGaLZLZsyA2LxZtk/n06dx7/LlBucJCAiQauG6iouLAWhq6iUlJbI57KNHj8bEiROxdOlSDBo0CE888YTB+/38/DBw4EAkJSXh9ddfxzfffIPVq1dj1apV0vn//ve/480334SzszNKS0tRWloKlUoFtVqN0tJSVFdXS8fTncNeVFSE48ePS6Pxdeew5+fnIycnhylj6aZgQKdbm5F5Ut7TpmHKgAEI8PHB8g0bkK+TCvRWIKZPh9i0SbYtIjtbCmi5ubn4/PPPsXDhQvzwww83tSneXKY4Y/RWUUVmpuZ3KetuZiawYQOUetejFAJdz56Ff2PwrqjsiHXrgM6dR+PkyZNQ6a3YduzYMQCaOeCnT582OYd94MCByM3NxbVr18yWOy4urrF4mQA0iXKqq6vx3HPPwc/PT/rZsWMHTp48CT8/P/z1r3+V3u/j42N2DntCQgJSU1OZA55uKiaWoVtbY21Pt1FWbN4Mx1mzkLB+PYLbtcPG7dvRp3t3DOjVq1WXJbVKZiYUGzcabNYNaMUBAVKNEDC+GMyNYsvKbLpM5gc6e9bs+5wv1uLnLQ/j5O/aB4d3AYzAwoWr8eijU6X9Fi5ciJCQEAwePFjK7b579248+OCD0j5CCOzevRt+fn7w8PAwe15toNVmjevbt69soRat559/HmVlZZg/fz5CQ0NlryUlJWHu3LkGc9gBzWf38ccfY+XKlbI57EQ3EgM63boaa3v6Pay6y6F2i4rSZJfbvh2XCwsxetgwuFlYcrO1qNVqnFi5EjFm9vEvLkZxY2pTXc1dgc1W+gvIzJw5s2UehiyMnFtw+k1knu6gt3UsnngiDWr1t+jatSuWLl2K9evXY/HixXBwcEDnzp0xdepUfPPNN3BxccGkSZNQW1uLhQsXYseOHXjnnXekvvavv/4aGRkZGDduHDp16oTKykpkZGTg888/x7BhwzB58mQAgK+vr9QHrsvX1xcqlcroa9qAvmLFCoNlVbUPQqtWrcKwYcMsPmAQtQYGdLp1WajtaZdDDfD1xb3jxyN1zx4sX78e44YPR1Bg4I0po46MjAwcLSgwG9CLjYzoBlo+PSwAqFQqLFmyBJcvX0ZQUBBmzpwJR0dHqazm8rTbulyspHHknMFSqgoF9veeit3HQoy8yQEq1Wi8/vr/obz8ALp3746lS5dK65YDwJIlS/DFF19g0aJF+P777+Hk5ITo6GgsXrwYM2bMkPaLiYnBb7/9hr/+9a8oLCyEo6MjoqKi8Prrr+PFF1+Urr8p4uPj4ejoCJVKZdCa4uvri9jYWBw+fNjowwDRjaAQQuivatkmlJeXw8fHB2VlZfD29r7ZxSFjMjM1fefmXtdp9xVC4FhmJvYcPYohffqgd1SU2RHULW3RokXIzs7GzEWLEJGdDaXOPy2hVOJCr17I/PRTKe+6EAIKhQJhYWFmA2ZTg+vChQtli8yEh4dLTdbasmpFRETIFpDRXR8eABITE63vEigpAaZPly2QkxUZiXkTPsWHX95h8m1r1wITJ1p3CqKWYk+xgDV0unWZqO0JBwfN2tt6nbgKhQKx3bqhnb8/Nu3YgYtXryIxLg7OTk43pLjaRVlSpk3DvcuXo6tuC8OYMej400/oaGHNdmPBuymrngHA5cbFaIz9bmkBGf0ugLy8PKSnp1v3UNE4cm7vkiU4s24div39URwQAD/XOrPlNbNcPRFZgQGdbm1Ll0KhV9tTGMyTkuvQrh3umzABm3ftwi8bN2Lc8OHw9/VtchGsrSHrDjDb0aMH1h04oOkz9/dH7L33IsFCMAc0NWPtfObs7Gyo1WqcO3dOto+1/e1BQUGyGrruKmaWBsPpB3whhM0PFQOnT8dJlQrFjWWoqTmKQYMScPCgHxoarrecOECFMQGHERUYCcDyPSIi4xjQ6dZmZh11c9xcXXFHQgL2Hz+OXzZtwthhwxDWsWOTmq+trSHrL8FaHBAgDYCzNghrp2vp/t6nT58mLcc6c+ZMgz50Y2U1Rj/g5+ll5zN3Pbr3uKxxlTWtRx7ZBP/sSGwoGihtG4PN+LFkFjB9oOazJqImYUCn24OZddRNUSqViIuNhb+PD7bs3o1p48fj0IEDNtc0bU2+AjR9TXT9IS1CiCZPLXN0dJRN87KFbsBXq9Wymj5g/np0H4D09fesxxNFg3AGXZGFruiKLEQhC1BDmrlg6+dMRBoM6GT3uoaF4cKVK9i6ezfKL1yQvdac4Gyutt/UIOzj4yPNT9f+bqk2bYumtlDoBnRfX1+pT93Y+/XvqTZpS+fOnTGwMQFMlDaQ62ucuUBEtmNApzZhaL9+SNm4EY6urrLt1tSctcE4Ly8PQggpmKnVall/N3C9tm9rENYGWv2BbM2ZG95SA+z0A7Q2KY6phDj6D0B9+vS5vk9jpjaTZY6IYPpKoiZiQKc2wcnREWOGDsUvmzZhwKBBKCkqsrrmrA3OulO5cnJy4Kc3yK05yWFMNVOHhYW1yDG1AbYlug8svd9s64SZmQuX+vTBBZUKAyyWiIiMYUCnNiPQzw9D+vTB0dOn8Yc//hEuzs42vd9S8GtOchj9Y7u6uiI4ONhs07atx9QGWFv79nVbKEpKSmRdAmq1GosWLZI131tsnTAxc8Hxq69w8MABhIWEINCKGQFEJMeATm1KTHQ0Ci5dwrb9+zFm6FCbEs/oB8PY2FgpSYwt/eTWHFt3yllOTg7UarVNC36o1WqDBV90y2hLmXVbKLTN7ICmL11bRlvmx5uaudAOQN/KSmzdvRtTx42Do/46rURkFgM6tSkKhQJJcXH43/r1OHn2LK6eP4/8/HxpIQ7ttLHY2FiMHDlSVis2FgxbajEY/X76goIC2evHjh2zKaDrD2QLDw+XytvUAXa6NX7/wkIE5+VB6elp89Q8iZGZC/179kTehQs4cPw4Bvfp06RyErVVDOjU5ri7uSFp8GD8snIlyq9eBQCDPuL09HQoFApZ8GvJ0eb6lFlZSKiqwl4HB6zLMjL620b6wVXbFN4cnTt3xoXjx3FvSoosC15WZCRSpk2TWgWacx4HBweMGjwYKZs2Ibxjx5uSk5/odsWATm1Sp+Bg1FdWmt1HP5lKqyguBmbMkPqT4wD4NwbIGjc3abfY2FjZ29RqNdLT07F3716oVCp07NgRs2bNkhYfaeo8eHPi4+MR8/LL8NVpdgeur/W+JDkZGRkZTXro0R+R379nT2zdvRvTJkyAUzMWVCFqSzhDhNqkjIwMVFdVmd3HmnWLtIF10aJF0lQ2mzSu965LGyC1/Pz8MHLkSNk+GRkZ2LZtG2pqaqBSqZCXl4clS5ZIr8fHxyMxMRERERFITExsVv++ljIrC/779kGpd426a703daS/dkR+dnY20tLSUHH1KlxdXLDnyJFml5uoreCjL7VJ+oHH19cXQgiDVKWWFiTZtm0b0tPTAWia7YUQ1i+faWK9d90AWRwQgD59+lhM3gLIF19pbveA0QQ0Fpaz9S8uRmgTWwL0r6egoAB3T5mCZevXo0toKDrq5KEnIuNYQ6c2Sb8Jum/fvujXr59sm3ZBEm2tURu4dR09elT2+549e6yvpVsIkD2dnY3Wro2NYAfki69o92tq64G2xnzy5Em8/vrrGDx4MAbr5II3ZvHu3bj33nvh4uKCzp074/7778eJEyfMvuf333+Hi4sLHnjgAZw/f17a3rlzZ2zZtAkpCxeif9++cHNzQ3h4OGbOnIkzZ87IjtG7d2/06NHD4NgrVqyAQqHA0KFDDV5btGgRFAoFVq9ebbZ8RLcT1tCpTdIGyQNHjqBTp06yoKmtlR4+fFj2HmtGmtfU1FjfjxwZafbl0Y8/bjQNqv4IdoVCgc6dO8sWX9Hup5tYJjc3FzNnzsSOHTtQsmcPIgH0mjwZSp0157U18z179gAAqqqqcODAAYSGhqJ99+5Yv2sXxgLQnVCmVihwokMHDElOxuN9+sDPzw/Z2dn44IMPMHjwYBw4cADdjKxr39DQgEceeQSBgYG4cOECBgwYAHd3d6lFYOjQoQgODsb9ycnoEhGBQE9PvP/+++jfvz92796NXr16AQCSkpLwxRdf4NKlSwgODpaOn5aWBg8PD+zfvx8VFRXw8vKSvaZUKg26MohuZ6yhU5ukbZLu0bcvuvfqJUuIkpycjISEBKvmqMfExBhss7ofWZs1TW++tXBwAMaPN5nTXP/4Xbp0wUMPPSQNiDO1X25uLpZ9/TU6Pvooprz6KmJefRXK7t2BCROAkhIA1x8CqqurAWi6Il577TUkJydjxIgRmA5gv17Sl9KBA9Hr6FG8+eabmDJlChISEvDwww9j5cqVqKyslPXt6/r4449x7tw5vPrqqwCAAQMGSPdeqVTi119/xapVq/Dum2/CKzAQ8UlJ2Lx5M2pra/Hxxx9Lx9E+ZOln2ktLS8Ps2bOhUCiwfft2g9f69esH32Ysq0t0q2FApzattLwcPjo1N136I8v1fwc0iVTCw8Nl22waUb50qWZ9dx2W1nvXP76p8xnbHvfJJ4jQm6InNm8Gpk8HYPgQoFAoZA82pQBejY3F5888gyUzZ2Lv4sXw37sXysa56LratWsHAAYPGgBw5swZ/P3vf8dXX30Fb29vo+Vv3749AMDLwwPD+/dH2r598AsIQGhoqGyefmJiIhQKhSygFxUV4dixY7jjjjswYMAApKamSq8VFBQgOzvbpnn9RLcDNrlTmyWEQHllJXw8PY2+PnLkSIuZ4JRKJZIbp2s1KWOcleu96w5S69SpE0aOHIlz586ZPV98fDxyc3Ol5nn/wkJEGpnjrmhokJYuNZe3XZd2rXe1Wo04ne0NDQ1QqVTIycnBa6+9hvbt2+Phhx+WvVcIgdmzZ+POO+/E3XffjQULFkivlZaX43JREQAgsnNnKVtcty5dkHPuHJavXo28vDxMmTJFeo+/vz9iY2NlQTs9PR0ODg4YNmwYEhISsHXrVuk17X4M6GRvGNCpzVI1NECtVsNZL6e7djCZbtY4c1nhWiThjJn13rX50nXTrCYmJiI5OdnsIfUfNrwvXjRfhqwsxI8fL3sIsES/FcDDwwO1tbUAgOjoaKSlpaFTp06yfb788kscO3YM//vf/6TrA4A1a9Yg7PRpKD094ezoiCOnTmHM0KHw9/WFQqHA8H79MHjoULh7eOCFF16QHTMpKQmffPIJLl68iA4dOiAtLQ0DBw6Eh4cHEhISMHfuXJSXl8Pb2xtpaWlwcHBokal8RLcSNrlTm6VqXO3LUS9Qa+d4l5SUoKSkBOnp6cjIyGi5E2dmAuvWaWrlVtAfBAdY30+vOy6gw4gR5nfu2lV6CNDOYU9ISDDoZ1YqldLceP2guHPnTuzatQuLFy+Gl5cXkpKSsGDBAmmkfU5ODv76179izpw50qj8zMYlVc+fP4+8rCyoystx34QJCAsJQcrGjaiprYUQAs88/TTOnDqFh//8ZwToZZDT70dPS0uTpg+OaLxu7VK32mDvZaKrheh2xYBObVaDNqBbGExmapvNios1A9C6dQMmTdIMitMZkGaKsYx1Tcn8NnDGDBQPGgS13gOMcHBA8aBBWLR7tzQ1T/sQkJiYiL59+8r2V6vVKCkpMZpOtn///hgyZAhmzpyJ1NRU1NXV4YMPPpCm/s2YMQO9e/fGvffeK62rfrGx5aCurg41NTUoLiyEg4MDekRGQi0EHBwcMHv2bCxevBgLFizAXXffjfR9+2SJf7QD6VJTU1FUVITjx49LrSZeXl7o168f0tLSkJ+fj5ycHDa3k11ikzu1WSqVCg5KpcFodmP9yC2ROlWbFU73bGLzZs1SouvXm3ybfsY6X1/fJjUXK5VK+G/YoBkAp7N0aUn//vh21CjUZGcjOzsbBQVu8PMbiNLS/VCrTyM0NBRhYWH4/fffZcfbvn07jhw5YnQhG0ATSNu3b4+ixj5xAMjKykJhYaHBWvIAsHDhQri4uOD9f/0LarUaxWVl8Pb0xBOPP4758+fju+++w6xZs1BdW4v/rVuH0zk56B4RAQDw8fGRgrZ2Strw4cOlYyckJCA1NVWalcCATvaIAZ3arAa12ugI7Pj4eKjVaoM+dKMyMzUJYkwMZpPtZyQrnO6ANFPv13/g8PPza/oCKEYG4a3ZvRs12dmoqnJFSsq9OHu2a+POcYiM9Me0aSkICXEzOJRKpZK6JPLy8pCcnCwrV2FhIS5cuIAOHTpI2/7xj3+gZ8+esuOsW7cOH330ER566CH0798fzgEBqKisRFV1Nb7/8ktsWb8eX3/9tTS4zs3FBQmDBmHLrl3oGBQELw8PAJogPXfuXPz4448YMGCArEk9ISEBH3/8MVauXAknJydZsCeyFwzo1GapVCo4GFlzW6lUIikpyXwtTm9RFQCaueNLl2qCpj4LWeGQlWUyoIeFhcnWIQ8LCzN/LDMMUrpGRqLzhQvIzs5GSsq9yM6OkO2fnR2BH36YgAkTPkVxcTEA4OrVq1IGuKioKKjVarz++uvYt28fJk6cCDc3N2RmZuLTTz9FQ0MDXnzxRVnCGP2HEe34gKeeegoDBw7Ez2vXoqS8HJ/MmYPN69bhwYceQn19Pd58800EBQWhb2PmuIhOnZC2dy/ubJy2pg3oK1aswEsvvSQ7h/aBbNWqVRg2bBg8Gh8CiOwJAzq1WaqGBmlalM1sbT63kBXul6NHce3qVYSFhRkEPf0WAyFEk5cp1c8epz1+QYGbTs1c55qEEhcv9sH8+RkANFPefv/9d6n5/bnnnoOXlxeCg4OxYsUKLFy4EDU1NQgODkZiYiJSUlIMauTmqNVqXCsqwprVq7F61SoAwMIFC7BQZ2obAAQEBCC/oAApmzbhRFYWekdFIT4+Ho6OjlCpVAazDnx9fREbG4vDhw9bn2uf6DbDgE5tVpMDelOaz7VZ4TZv1uzXSK1QIDsiAsdqaoCcHKkmrr8Ou1KpREnj4Dlja7XrMrqwSmPw1x/cl5+fD6VSiYCAOGOHknzwQQpefTVWOr526daamhoAwN13342RI0ciqWNH67ogdDz00EN46KGHpGs71/ig8eSTT6JdUBBKKypQb2RlvGX/+x9Gjx+P9RkZ6BQcDB8vL9TX15s8z6FDh6wqD9HtiqPcqc1qaGgw2uRukTXN58YYyQqXHRGBlGnTZNusGWVvbtS9/lKkulPuTGWZs9CAAKUyW+f/NV0SgwcPlra5VlUh9tVXbR7Br0utVuOI3nKpVy9fRrDeFDWty5cvIzQ4GN26dEGqLYviENkpBnRqs1QNDUYHxVlkKfp1NWy6BnB9QFpmJrB2LfYuXowlycmocZMPODM2ot7adK+A+eCvXSe9S5cuCA8PR15eHtLT09G1qxrjxwP6zzcKhRqRkVmIi5OPC1Cr1bKV5u5NSYHfgQOyfXRTylojIyNDaoXQ5ejggMTERLi6usq2a+exD+nTB1U1NTjaOJ+dqK1ikzu1WQ0NDQZJZaxiovlcODhoauCWmpobs8INVKtRnZGBvLw8CCGgUCikPnR92m1m08s2jrjvplRCd9KdbvDXJppJT0+X+tK1zfxLlyboz2hD1665ePjhzVCru8n67XWDr39hIboaabWwZgS/LmPz7QHNIMCEhAQMGzYMn335JWqqqhDasaO0upyTkxNGDR6MX9PS0Dk4GP5ccIXaKAZ0arOaXEMHNM3netHP0qIq+mxJGWt2X70R93EAug4ahE2PPILgHj00wV9vep2xWnxCgqYBYcmSvVi37gz8/YsREFCMujpg27bLsjLovt/fUrO6mRH8uvTn2ysdHNArJkZ6eDlbUID2XbrgDxMnwkUvXW9wu3bo1bUrtu3fj8mjR1u1Uh6RvWGTO7VZKiN96NoBX9pUpSb7ZfWaz5GZqfnd2JS11tY44l5WvIMH8YcVK+BYXo6LffvK+rYvd+sGx4oK2f66tXi1+jSiorIQEFAs20c3iOvuX2zhmvcWF1vVv60fhL19fdE+NBRKpRKV1dXYeegQRg4cKAvm5deuIf/iRTQ0NGBQ794ou3YNZ3VWYiNqS1hDpzZLpVLJRrkbWwQlNzcXSqXS5Bxqc4uq3BDmRtxv3IjQU6fQQS/ABWVm4u6XXsLquXOh8vIyaMI3teJaaGgo0tPTkZ+fj9DQUCQkJODo0aMoBpAVGYmI7GwodWrZ2hH867KyUJ2RYbE1Qn++vbOTEy4VFgIADp44gdDgYIR17Ci9nnv+PDZs3w61Wo2p48YhKCAAg2NjsevwYYSFhMCpqa0vRLcpfuOpzWpQq2U1dGOLoOgG9+3btwMAOnbsiFmzZlndXG9uGlmzWRhxH2ZiNLxHdTWSPv0UwadPG7wWHxQEfzc3ZAEoDwqS+vaFELI57ImJiXj66aeRkZGBA0FB8P/+e/jv2ycdR3cEvzW58PWXe71y6RKqVCqoxoxBVU0NOjSur651Ji8P/Xr0wOGTJ+Hk4CA9bFTU1eHwyZMY1JjmlaitYECnNqusogKBOs3FloKOSqUCoBm8tWTJEjz44INWncdYMpdmL7eqZWnEvRnBmZnyAWuNffHKDRsQAyAGkGW/W7Rokez92jnsCQkJQEIC8MQTUkrZvcXFWKczfc+aXPjGFntR1dTgalER8rKykHPiBEouXUJ8fDxUDQ04dvgwvF1cUF5djYMHDmBH4wMXABx1dmZApzaHAZ3apNq6OuRfuICBvXtLNTv9fl5fX1+UlpYaff/ly5etPpctc8htFh0NMW4cxObNUOqUX61UoqBjR4RZ6k/WHbBmIfudflO80SCtN4Lf7Kh8I7Tn8C8shH9JCRxjYpCxfTsuNo6Av3zpEgCgtLwcFVevQjsS4PfGVLRaSp3ZB0RtBQM6tUk5587Bz8cHx48ckWrPABAeHi71mQ8fPhw7duzAkSNHDOZHa+dAW8OqQNgMO595BkFnz8qmjhVER+OnyZNx/9KlJpvdAWBPURGqUlNRtm8fppjJfrdyzhz4DByIhIQEFBQUWAzStozg1xXfqxdiXn5Z1nSf1bUrcu69V5qvf+TIESj0ujuqq6tlv0d06WLzuYludwzo1CadyctDVFgYjuoEDkAz0rpz585SLTo+Ph7x8fFIS0vDvn37oFKp0FFnDrQ1rJpD3gzZJSXYnJwM/6Ii+BcXo9jfHzFTp2KIQoHd4eHo8OqrcC4vl71HDSA7MhLrz54Fzp5F1zNnzJ6j8sgRHKmqQmJiIpKTk68fR63Gtm3bpCQzMTEx0trkTaGcNQt+Bw/KtkWcPYt7ly/HksbzlpSUwEtvrnlNTQ28fHzg6OiIPjpT3YjaEgZ0anMqq6tx4coVJA0ejNLLl2W1Z7VaLevvFkIgMTERo0aNwqhRo5p0vqbWVq2lbQEoDghAcUCANIBNG2T3Ll6M4R9+CMWOHdJ7siMjZSlnLU09K/b3B2DYXZCeno5t27ZJv2/btq3p12tixL5SCHQ9exb+RUUoDggAoJly6OzsjLq6Omm/6upqzP7TnxBkIlUskb1jQKc250xuLlBVhRUpKdL0K20z8uHDh2X7Hj16tFmrc7XqCPdG+i0A2lqz1paSEjS89x7ig4NxYtUqHCwvR66Tk+wYxYGBRqeeCaUSZ7t0kQJpQ0MDPvvsMwCa2rhu+letJo8RsDBi37+4WFYOV1dXWUAXQiDgZuQBILpFMKBTm7Nz505cPXcOwPXpV9pmZP3FQZrD2Lx2oAVHuDfSrxHrj0YHGkekJyQg5pVX0Eutxv4ff0TF4cMoDQzE8dpaAEDKtGm4d/lyeRrXMWNw+ZlnEFFSArVaLZvWt23bNoP86kAzxghYGLHv0L070DjYra6qCh3CwlCu05XgHxTU9OVwiewAAzq1KaXl5SgrNp0BLSYmRla79fb2btba4/rz2lt0hLsJxhLDSEG2uBjKGTMQp5OydmD37vhp8mS4V1Ziz5Ah2DlsGPr17o2Ye+6BIioKwwEMh/EHBVdXV2kJVQAmc9FbxUyO/PMxMTjv7g7oZLhTKpUI69oV18rKENi+PQKCg5t2XiI7wYBObcqZvDy0DwrCOZ2MZLo1yoSEBOTn50uBOC8vD//85z8RGhqKmTNn2pT73VjwDg0NbXrhrTR8+HDk5OTg/PnzcHR0RFxc3PUga2RqWufMTDz92Wfw0BkpLsaNA/70J9lxjT0o9OnTBwqFouW6FEzkyN8/cyau6Z07LCwM1UolQtq3R21dHSr1RroTtTUM6NRmCCGQmZODuupqODo6GgY7mEhuolIhNzfXpmQygPEAeCMWDdmxY4e0cplKpbp+TabSxKrVsmAOaOafl4wfjzXPPCMF6vj4eNlgu5iYGIwcObJlxwRoc+Q3JqjRLiZT/sMPerv5IT4+HmvS0+Hk6IhrVVVsbqc2jwGd2gS1Wo31Gzfi7JEjEI0JWFQqFXbu3AkAsqlWpnKZX7582WDVMv1z6A6AGz58uMEc9oKCglYfKGcykY2FQWe6lGo1/PftQ+m+fbK+/8TExGYNErSaXo58/Tzvffr0gVKphIuzM2rq6qBSqeCstwIbUVvDgE5tQkZGBvbt2WOwXaVSGUy10tbYd+/eLfUPu1ZVYeby5cCrr15/s05aVO05dKe86fefA5qHhVZNBQvDB5ILFy6grq4Ozk1IE6sdWW6p77+1H1K03Qj5+flwcHCAWq2GWq2Gu6srqmtqoGpogAcXY6E2jsunUptgLLjq0g1Y2uD+wgsvwNfXF0qlEn9cvRohJ0/K3iM2bwamT5eWXN2j98CQm5sr1c59fX2RmJiI+Pj41k0FC80Die7o85qaGvznP/+5PujMhqZp7fxzSyPXtQ8p2dnZSEtLQ0ZGRtMKb4K2G0EIIT2EZWRkwMXZGadPnMCx/ftx6sQJq5ZpJbJXDOjUJtTqzFc2xthgtV27dqG0tBS+V64g/NQp2chr4Hpa1P1LlyItLQ1uBQXoeuYM/IuKTJ5nyZIlBkGnpVPBKpVK2fxsANendy1dCsWYMbLXKt3coB8GVQC2ubvDd9Ag6UHEnNZ+SDF2vPz8fORlZSH/7FmUFhUh6+TJFn+QILqdsI2K2oQaCwFdf7CaSqXC7t27AQD+ennc9RVu2oSZ27fL5m9nR0Vh2dSpUv7xmpoakznjmzLNy1ITt7e3t2xhGW9vb83/6Aw62/L11/i9rg5V7u4G8883A1B/8w2SG1PcalshTJ2vtfPVGxvXEBoaijN64wJuxLRAolsVa+hk17SB6JpeLnN9e/fuRXp6ulR7XrJkidR/biktaq+tWxGhF2zCG/OPa7m4uMheVygUSE5ObnLec0tN3E8++SR8fHygUCjg6OiImJgY1DUOHlOpVFB16QKHO+9EcUAAatzcsCQ5GXsXL8b6Z59FFIDNf/kLJunkq7d0vvj4eCQmJiIiIsKqGr2thg8fDh8fH9m2ispKdOzYUbatpR8kiG4nrKGT3dLP1GZOdXW1VINOSEiQLY9qKi2qWqFAQadORlczU6rV6Hr2LPq4u8MvLg45OTkoKyuTXhc6x9GW1ZZBZZaauJ2dndGvXz+kpaVBpVJh9erVGD16tGyfLVu2IDExUTrnsawsPPbFF5j92GOYM2eO2eMfOXLEoKyygX1mZgM0xY4dO2T3DwB+//13PPnkkzh59iwCvbxQWFGBwUOGNPtcRLcrBnSyW8YytelydHSESqWSbdMGrqCgINl7jaVFzY6IwKF+/cwuTzqld28gIUGaF66l38Rv68h3a5q48/Pz4e9fCH//Ely54oO33noLd9xxh/R6t27d4OXlBQCYP38+HnvsMTz44IP473//a1A+/fOVlJSgpKTEsKzFxcCMGbLEMPqzAZrCWFN6XW0tFAoFlEqlZrEWJydcvHIFXTp1avJ5iG5nDOhktyz1p+oHcwDSdKiZM2diyZIlOHfuHFQqldQsPT4iAh4XLyILQL6LC5RZWeYL0bUrAMMauf7vtg4qGz58OHJzc3H58mUEBQVh+PDhensU4447Poe///XlYYuLB8Hf/1kA8sC6YMECzJ49G7NmzcK8efOMJr/RXQBGG8yNltVIJjqxebMm+9v69WavyRxjfeiOTk5Ys24dKq5ehTYhbGpaGrroLO9K1JYwoJPdMpUgRqFQGARUrdzcXCxatAgzZ85EeHi4tK/3pUvwunIFFy9ehP/gwZjcGOAyMjJwPj0dHU6cgFJn9LpaqYRy7FipuVk/SFqqAVvqC96xY4fUgpCbm4sdO3bo1ehnwM9Pvq645vfpAK4H1mXLluHRRx9F37598fjjj2Pv3r2y9/Tr1w8uLi6yJvX09HTZAD+prKYy0TXOBsCZM01ufo+Pj0dOTo6spcPF2RnZeg9Uly9fRl19PZz1VpMjagsY0MluDR8+HNu3bzeoiZsL6ACkNK+5ubnocO4c7vztN4RcuiS9nhUZiW8efRQ9hg3T9B+np6N4/Hj477teGy4dMAD+S5dKv+tnOgsLC5OdU38J1KZME9P2w5eU7MGUKRugX9FWKBoAbABwBoAmsK5ZswZqtRoHDx40UssHcnJyEB4eDuB6P39eXp70sCNbjMVSJrqsrCYHdKVSiVmzZslaTa7pLNSi5ahU4mx+Pno0IYkO0e2OAZ3sVkZGhslmdS1XV1cEBQUZ9HGXZmdj5pIl8qVEG0VkZ2PMd99hSeNUuISEBPju3o29S5ei4tAhePXrh4HTpwM6g9osBWyDQWUWGKvRa/vhu3Y9Y+HdWdAG9AULFmDBggUALA/M0+3nB4DExER5mS0F0cbuh6bSbZUwpaqiAtszMhjQqU1iQCe7dezYMYv7dOjQAZ06dcLly5dly4DetXQpwo001wOAUgh0PXsW/kVF2LVrF4QQEELgnFqNznfdhYFGRqibGgWujohAxqVLUhY03VqvuVHu2oVSjhw5gpqaGhw+fFh6rbjY0uAz44HV0sA8i/38ZpY/VYwZ0+zR7tbOMb984QKuVVbC08OjWecjut0woJN9ysxE2O+/Q+HsjOKAAPgXFsK/pATF/v4oDgiQdrt48aKsKRwA/AsLEXHGUi33ep7z9PR0aZvFEep6o8CVADpGRmL3tGlSEhpteczV2JVKJYQQUvIY3YeR4uJAZGVFIjIyBwqFbg44BwBjoK2d67MUsK3q5zex/Cl0uh+aqlOnTkbHROhrqK/Hb2vX4v777mv2OYluJwzoZF90Aubkxk2Vbm6y5UGzIiOR0hhAdQOhlqXMcNKpGvOc68vLy0NaWppsmVFtcC6dMAG+Bw7IMjpFZGfj3uXLsURndLa52qi2aVy7UpwuPz8/+Pn54fLlTxAZ+TmAjdfLW9wfvr5LpJ4A/SZ2/YCpH7Ct6uc3sfxpSzA17iE0NBQXL19GQ329tC0vPx+qhgYuqUptCgM62Rcj06bc9db6NhZAdVnKDKcGkB0ZKavp6yopKZHV+rdt2wYAKN27F/foDJzT0m3C1x6zoaEBn332GQAgNjZWtu64fl+2rj59+ujU7O/E3r1LcObMOhQX+6O4OADh4b8hOTkZSqXSoIl95MiRskQzzern11v+tCWcO3fOYFt4eDiSk5Mxf/FinNO55x7e3sjKy0P3iIgWLQPRrYypX8l+aKdN6S+iorebbgDVcnR0lEaeazPDqY3MxwY0wTxl2jSj87VdXV1lOdS1jh07hioLffqdamvh6uoKX19f5OXlSfO909PTZalWTdXeZSPOG50+rUZWVhSKizUPCrm5udKx9I9z7tw5JCQkNCslbWsy1sSvVCqhVCoxftw4eLdvj/DwcPgGBSEyOhpHTp0yO5uByN7cWv9iiZrD0rQpPf7FxdL/Dx06FA888AASExPh6OiIlGnTkK1Xu7scGopv/vQnLElORo2bm9Fg4dbYD26MpZp/gYsLampqjD4Q7NmzR8o1rx/Y/Pz8kJiYiAceeMAgCJvKIGfstZbOg67No79o0SJZnvymio+Pl6bQ6Z5DrVajY1AQOkVEoN+QIQgKCMDvhw7hYn4+8i5caNY5iW4nbHIn+2HjVCVtH7ijszNyS0qw5+hR9O3fH7t375Yyw/kXFWkGvzUOpisoKMB3b70FAHj55ZfhoTOSevfu3VhvJBuak5MTNm7ciPSSEtM54bt1M9mED1zPNZ+bm4uZM2dCCCHrozc1Kj4+Ph65ubmy6V7awG3r3Hdb2ZrO1hKlUonk5GRZfn5ti0NCQgJioqOxafNmFGmDeFkZNm7ahMceeqgZV0F0+2BAJ/sRHQ2MGAFs3252N7VCgeyICCmADh86FFE9euBEVhb+t349nJycrq+0FhAg7VdbW4uUlBT4+voarUUHBQUBAD788ENcakxE07VrV/Tv3x9xcXFQKBQ4EBQE/++/lyWhyY6IwJYHHwRqa6VtPj4+BouRANezwikUCin96rZt20z2b2uDoP78cu1rzQmwlrTGGulKpdKgq0ObQyCyc2es1FtVr6iwEIUlJQhsRh55otsFAzrZl2eesRjQsyMikDJtGgDAy9cXI0aMgKOjIzoGBeHIqVNIKyoCjGQh27x5M1xdXdGzZ09s3bpV9pqLi4s0aCsqKgpuBQWaaXIqFU57eCAuLk4TPBMSgCeewN4lS3Bm3Tqp5j9y8GC45ufj0qVLcHV1RbXeQD5d+fn58Lp4EV3PnJHeby5YtnbgNqW11kjX7+ooKSmBWq2Go4MDOnXqhDMnT0qvefv44Ojp0xjFVdioDWBAJ/ui18eq74fkZOToNM1XlJbit3XrMOWuuwAAsd26oeDiRVx2d4ejECgpKUFZWRny8vJw4MABzJ492yCrHKCpvatUKvgB6P3yy7hHpz8/KzISuwICMPzOO6VtA6dPR3VoKNT5+Yjt3BlCCKkZ2dhUOi3XqiokffQRQo8flx3/8iefGM30BsCmZVltXcbVnNZq0tevoZeWlkrN7nffcQe+uXoVvu7u8PHzQ2FNDc7k5SEuNhae7u4tcn6iWxUDOtmXv/8dAoYj2wWAs5GRsmCudeL4cQwdOhRBgYFQKBQYPXQolpWVwb0xyNbX12PVqlUYMmQIQkJCZGul6/sRQBe9wXldsrPh9PLLUE+aJAVH/VrzokWLjB7P0dERnp6e8PHxgVKpxOg5c9DhxAnZPhE5OYj8/HNs8/Iy6LMGYFM/dkv2eyuVSsTHx0sPCBkZGc16QNDq1KmTQTIgbQuFp4cH+g4YAEdHR4wcOBCXCwuxcccOZOXno2/37s06L9GtjgGd7IeJ1b4ATYDfOmqU0bep6uqw5H//Q3x8PAbFxMDN1RWjhw7FD41BduvWrRBCICkpCQAgGgOSj4+PLFd8LycnTDByfAchEHbqFPYuXYq4mTONlsHUynAjRoy4HlAzMwGdmrmWUq0GNm5EyZgxsu3GmuEt9WO3dL93Sw+MAwxr6IC8OT8mOhort2xBXEwMggID8cdJk5p1PqLbBQM62Q8L09Y8qqqMbvcvLETH8+dxsrISvbt2hZOTE4ICAuDj6YlDp09j9+7dmDVrFry8vDBgwAAcPX0agCagF+nMZR/WOCjOlIsZGVBPn25yNDoAozndrb2+SCFwROd3bZAz14+t38QeGhraov3erTEwrqCgQPa7n5+f7D618/dHO39/nMzORr8ePeDs5AQhBDPHkd1jQCf7YaEpt0HvddeqKtybkiJbUW39K69gOoBSAK+99hpWrVqFHj16ICQkBN7e3hg4cCDa/fILAE1fd21tLVxcXABYnmee7+ws9fUaFt2KgWsWpuX1io0Fjh7FWYUCfnFxsiBnqh9bvwadkJBgNlucrVpjYJz+Mfv06WPwkNS7a1esXb8ex/btQ1hYGNp17Ijfz57FlDFjGNTJbjGgk/2wkLjEQe/1e1NSEOFwFpgAzYqiWcB4pRK5cXE48/nnuHr1Kj744ANcvXoVv//+OwDgz3/+s/T+l19+GUFBQXjyyScBAFWhoTjXuzdCTpyQzTNXAdju4mJxNLpFplYzUyqh8PODcuJExACIAYDx44HYWMDPz+yDgn55CgoKkGwiJa4+awbQtcbAOGuOeS4nByWXLqEEmsVunF1c4BUait2HD2PEgAHNLgPRrYgBneyHhRqsWqGQpnq5uFWj6xeNwVxrPaCYrobP7t0Y6OMDdf/++Pjjj3HlyhW0b98eMTExOHbsGBb/+CMO7NuHlJQUKbkLoKmxr5k5E6PnzZPV+jcD+HdMDIajBWqoxlYz8/ODKC2VjR0Qmzdr9jOS6EaXpRq0uaBtTf94a0yZs+aY+s3ydbW1KCsowDEHB3QMCkKX0NAWLRPRrYABneyHiRqsWqFAtasrkhcvlrbVbHUB9Ct2YwAsBTARQFYWlFFReP7556WX09PTUVZWJk1/cnBwQGRkpBTM/vOf/2Dw4MFIj4tDx9694Zibi99OncI5Nzf8IzkZffr0aX4NVX81s/9v787DorrvvvG/Z4ZtlG0GlJ1hd2NxxS3I4BK3ZtUkLqFpene52iZt09y52uZq7ia9u+RJ0idtY/s066+pQdIkZmmjgmIERoyIGgVXZEcFFYYlKvuZ3x8w45zZGHY4vF/X1TacOXPmDLG+z3f7fBUKYO1aq4mAsp6e3tC/dMnhJin9tXYdhfZIjI8PhvlDR2hoqKjojrnuzk50NDfjg3/9C8nz54/LevVEQ8FAJ2mx0YJt8/CA0nxtdyzgkdZh/V4X9LbYY9C77acF8/KpQO9mJvHx8aagmzZtGk6cOIHGxkZ0dXXB09MTsQkJ+K/UVItd0AbGZis5NhZCdDTOvvJKbxe7PWVlQGys3ZZ2f61dR6E9UoVjnGX8TqdPnzYFeH/7pbdcvw7AcXU9oomKgU7SYtaCvVlcjM+zsrDlrbfE5/RX8v2R+VatWkEQoO8r95qWloa0tDR4enqKWrg7duwwBeXOnTtF4WIZjAMp4GKvlazT6VBcW+s40PseTAa7fMxRaI90Lfj+ONpG1hlj1aNANFIY6CRNsbHwjI1FuNkYt0l/m7I987roR0EQcPDoUXTbmHSn0+lMS82MFeRSUlL6bb0OJGDttZJrampMW71abvhiUCggW73a9GAy2O5xR6E91i1cZ76DRqOxWdkPAEJCQob7lojGFAeQSNKWbN1qffASgCz0Tj83YxDkMBjuBnwW3jlmMCD32DE0NjdjboK4LWwwGJCbm4vKykpUVVWhsrISubm5popoWq0WUVFR0Gq1Vq3XgQSsvW1Ojf9ra6tX2erVQGZmv9eYyGxtI7tixQqkpqaafu/GPe4tBbe3I666uneOAZFEsIVOkiafOdP2RLltQNunSkxdcWcTFJl8DXpnxfUyGAzIKyrCtYYG3LtqFYoKC0XXtrUbGtAbzv21Xgcy/myvlWx+/Mr69YgKDIS8oqK3m91iyGCw3eMjUeltuNj6TpbDFpYldW3VHsDatb0PP9yRjSY4BjpJn42Jcs0xi/Dm3pWYcvo21Go9YmPXIzlZXJb1yFdf4cq1a7hv1SpMVSqtlkLZ20TFmdbvQALW0daoVsdnzBjQNfozkJ6E4dzYxRnOfKewsDDRg9Om3bsRZTFxztklfkTjHQOdpM9yqVdMDHyjo7HEtNQpHAsXigO1tKoKpVVV2HT33aZlapatag8PD6tQ9/DwgCAIEATBYZiN9fizswbSkzAeW/PmW62qGxrELfM+zi7xIxrvGOg0ecTGmv7ClsN+2DS1tkJ3/DhWL10Kb09P03HLVrUgCMjPzxe9t729fUSXRI12K3ggPQnjZV26OeMe9QCgtrE2XaRviR/RRMVAJzLT1d2NAwUFmB0TA43FLGjLkDa2wmtqatDU1CQqZjJSYTbareCBPJiM9bp0W8zvqb9a+7ZqDxBNJAx0IjNHTp6Eq4sLkhOsV3fbah0bwy4vL0+0JnqkwmwkWsGDafXbeo9la3758uXIy8sbtd4EW1JSUkyFZ+wt8RNkMjQtXAhVdDSX/dCExkAnKi0FystR5eGBiqYmbF67FgobO3I5ah2PVpGV4WgFW4axwWBAXl4eAOdb/fZ+F+bvM3/IGasxdblcjqSkJNN97N68GZs++kg0ll4XFIT3Vq7EEjs74RFNFAx0mrz0emDbNtPs9wgAj6SmYkpaGjB1qtXpjlrHozXJbTgeHCzDWGXRFe1Mq9+ZnoLxMqZu/B0VFhaiDcCeDRvw3TfewJSO3vK/IVev4om//AXZ06YBDHSawNjDRJPXtm0w5OSIDikPHwZsFaPB+CjOIpfLTZXoampqoNPpIPSzbayl/oLVme/lzO9itH5fgiAgLy8PO3fuRF5entXvw/iwtXjxYgDAd956C8oOcS3/KW1t+MZvfjMi90c0WthCp8mptBTIzh7QLmXmrePQ0FAYDAbs3Llz1MeHhzoxzrLbPiEhwTS5z9lWvzM9BaM1DOHs7yMlJQWqY8cwta3N6jUZALfWVuDAAWDNmhG5T6KRxkCnSedWWxtq9u/HLEcn2VjCZN6tPpbjw0PtyjYGq7EGfW1tLTQaDbZu3YqCggJkZGT0+5DizBDDaA1DOPv7kMvliL992+G1KjMzoVm1ituq0oTEQKdJpfrqVRwoKMAMtdrxif0sYXImREZqzfhQJ8YZg9b8oaSyshKnTp1Cc9+OcuOlMIwzBvL7ODNlChIdXEvX3Y0aTo6jCYqBTpOK15QpcHN1haDRwHD33cDBg6Ia75a7lNnjTIiM1Jrx4erKtnwIMYa5UXV19ZgvO3OGvd+HrQeq04GBiFYqMaWtTTTcYgBwW6lEZXQ0YGd3NqLxjoFOk4ra1xcP3n039uXnI/tHP8IagwGKAwdMrzfNnw/fjAzIAVMluOK+LVgTEhJMgSwIgml2eGJionWolpai+z//gbqzE3o/PwDDN8t7uLqyLR9KLOn1elRWVgIY3y12e78PWw9UoaGhePN738N333hDNJZ+W6nEm9/7HgCgu7vb6lpEEwEDnSYdzylTcP+qVThw5Ah2P/UUwtLTUZGdDb1aDb2fH7RnziA1NRU6nc60PhsA8vPzUVNTg5aWFlFVOJlMdqflarYUbhWAVQDKoqOxe/PmcVE5zZx5y1YQBFRVVYlet9xNzukHkr51/bZ2fRtNlvdbXV0NQRDQolLhlZ//HJHl5QirrUVtWFhvy7zPLTub7hCNdwx0mlTMu2HDwsLQ4eKCopYWNJkFz+nTp03lXC1Zhh7QGxQmfUvhzLtzoyor8d0vvoDv738/bN/j5s2b+NWvfoUPPvgAer0eM2fOxC9+8Qts2bLF6WuYt2wFQcCOHTtsfmejfh9ILNb1Axjw1qTDOe8gPDwczceOQd3UBL1aDUNEhOjfVWV0tCjITfcgl6Onp8dmcSGi8YyBTpOKZTfs0mXL0GPxF7dlXfb+mHb0srMUTi4IUBcV9bZanWyx9hdsDz74IIqKivDiiy8iLi4Ou3btwtatWyEIArZt2+b0vZvu0aKimpGHhweCg4OdG6u38TAz0K1Jh23egV6PFb//PVL37zcduhIfj/c2bkS7Uml1+lRPT0AuR7hGg04XF1RevowYjWbgn0s0hhjoNKlYdsNeq6/HhrVrkbV/P3yVStTX14u2RPXw8DBtk2owGNBhUZAE6O1yB9Ab2I4MYDcvR8G2d+9eHDhwwBTiAJCWlobq6mo888wzeOSRRxy2Lu09LKSkpKCyslLUil28eDG0Wm3/NzyIdf22DFt1uW3bgIMHRYeCz53DprY2ZKSnA+j9dwsAnt7eCIiKQnxsLE5duID4qCicuXSJgU4TDgOdJhVbs9PjIiNxJioKUaGhaMnJEQW6Uqm0arla7oOuMf7Fb6P7VmQAu3k5CrZPPvkEnp6eeOihh0TnPP7449i2bRsKCwuxbNkyu9e297Agl8vxzW9+0yrsnTKAhxlHvQ/DsmObvYcLQUBMeTmSpkyBKjnZ9LmdXV3456efouz8eVRfuAD3ri7c6OjADb0e0/pb3kg0jjDQaVKxtcRJJpNhcWIi9hcUYPbs2SgoKDCdn5iYaBWuQUFB0Gg01qEXFwesXdvbzTyIpXDmHAXbmTNnMGvWLLi4iP/vm5iYaHrdUaAPpSa93TAewMOMrQeKlJQU6HQ6VFdXIyIiAjKZDBqNxuEDhd176efh4v74eFHNdjdXV7h1d6MyKwuhTU24XF0Nr8WLcbasDNrkZMffi2gcYaDTpGIvsEIDAzFNrcZUX19otVrRFqAZGRmiczUajf3Qy8zsHTM2mxgmW726d2LYADhaa97Y2IioqCir96j7WpONjY0Orz2UVrDdoQAHDzNYtQr5V6+i5uhRhIeHiycR9n1H8+sCgFarHfSObwPuKdHrsfL3v0fomTOmQ9U5Och95hm0JyXBw93d8fWIxgkGOlGf5IQE/OfQIWz7xjdEJV7NZ7ZHREQ47oZWqXongF261NvNPMilW/21lE3j9gN8Dei/MI1xs5OSkhIAvS3/FStWmOq9mxP9bOdhpuCJJ0TBGxERIbqGcaMZc6dPn+53hrvdexloT8m2bQg5d050KOziRaz9299wYelSzJ050+49EI0n46/sE9EYCfD3R2hgIE6a/eVuGRpyudy5ZVSxscD69SOyDtvPz89mK1yv1wO401K3x/iwkJ6ebho7N6fT6ZCfn2+a7Z+XlwedTgegnx3UjA8zpaXA3r29/5uVhQqLFQMymQxarRZRUVHQarWm3ePMNTU1mT7THof3kpnZG95mrs6ejYInnjDtxiYIAo69917veLvlDm2CgMDjx1H84YcsNEMTBlvoRGaSExKwe/9+JM6YAW9PT6vuaWPAjUkZ1MpsoKEQDyer8D/v6NDd3S0aRze2qOPj403HBrOu29He5uat+7CwMPT09OAvf/kLALOWfGys6EHG8ndoa8hi+fLlOHr0qGiyYX8z3B32NJj1lJR88glyL1/urdh34gS6PD0hk8lw+vRp+B07Bkej5IqLF7Fn3z7cd889Du+FaDxgoBOZUfv6IiosDCfOnkXa4sVISUnpbckdO4b29nY0NTWZuo9HrQxqUzlQvhhY2AhEAk8tAh5dD+zL/BvuSf+x6bR3330XwcHBpn2/gcGt67ZVEtbY+rXccc68FZ2XlweZTGZ1fWdqzxcUFIjCHABCQkIc3qfdYQmLSnWngoKgNyvzWlxcbKozIOun4I1ercbl8+dxz8aN47KOPZE5BjqRhYXx8fhg3z4kzZwJtY8P5HK5VdgMV112p5QvhmFuo2gZlv9qYOnBn+D1190RFxeHzMxMZGVl4b333hOtQR/Mum7jQ4z5GLqtELbXkrfVK2Bekc5Wj4GtaxUXF2PlypX93q+JnUp1UU88AXsV6/X+/iiLjkZURQXkxgJBAASZDPWBgQCA9rY25OfnO7cen2gMMdCJLPh4eWFGVBSKSkqw9q67bIbNqNVlr8wGFjZar6l2AfzXAtnz/xs/PtuJmTNnIjMz06r062BmtMvlcqSlpSEtLc3hefZa8o56BSxfO336NJKSkhAaGmp1rZaWloENb9ipVLfMYED3s8+aHiKMm+4YfbZlC+57/33EmC13kxsMCK6rw5OvvYay6Gh81tUFmUw2bnecIwIY6EQ2LZgzB7s+/xzX9Xqr4Op3pvtwaigEIu2//D8/vBsff2e33deHa6tVS4IgwGAwwNfXF+3t7fDw8EBiYiIMBgOOHTsmOtf8gcjy4cg4hJGamgp3d3erSny5ubmm0HcYpo4q1e3fj9QdO0xrzwVBQE1NjWn1wk1XV+x58kkoz57FN999Fx6dnaJrRJWX477330eGqyuA8bnjHBHAQCeyaapSifjYWBQVF2P9ihUAMKCJZcPh+eefx5FdL2B/qf1zZNPtF5ABhm+rVUuWO9EtWbIEAKxqwQPiXgF7W7bW1tYiOTnZ5sx2p+YtOFmpztjlf+3aNdHLHR0duD872yrMgd6lQDHl5VA3NlqtoScaTxjoRHbMnTULu/7zH1yx+Mt/tHznO9/BunXr0PXlOrgsaoHM7P+thm6g85gXEr7x1Ih8tuVa9ISEBADA5cuX7RaHsaRUKrG4b2KhkfGfT58+LdoAx9ZadEsOX3eymIxlARujWIMBmn4+X63Xo9tsnJ1ovGGgE9mhdHdH0syZ2LNvH67V1kLd0AB5djZ2HjiAiDVrTOE0XNt9WgoNDUVoaCjQ/BVwalHvLPc+X+vc4T3vNDBCPQXGtehG5v9srziM8TWjxYsXW7WojT0GxlKvNTU1CA0NhcFgsNrhzrJmvsPxfyeLyVg+FLi4uMDLywuRt27Zv3YfvVoNn36K9hCNJQY6kQOJM2ag4JNPsH3nTtGkqbL338eXf/oTur287E4AG7a9vX0jgYUNQNUBHPzX7/CHt/Lw3FvZSPV1MLg+RP21lo3FYYzr0QVBQG1trSjoq6ur7U5qM+7uptPprFrrKpUKSUlJWL58OQoKCpwf/3ei7K5ll393d3dvEZuGBsx1cOnqsDDo/fyQyB3YaBxjoBM54Obqioc//hgBFuO+URUVUD77LL545hnRcfMgHLa9vfsI4avw+F//C+7uMSM+McveWLeReXGYvLw80Xh6RESEacJZZWUlANvf2173t0qlMp0/oO/pRNld80mC5vve21u+BgC3lEq8v20b3N3dR28yJNEgMNCJHCktRdCpU1aH5QYDQkpKMEMuF61xNu8WHra9vfvs378ftbW1+MMf/jCk6zhi7FWorq6GRqNBS0sLZDKZ1Ri6ebBZ7TFvMefA2FJ3Zu050P/Sun57Piwq1ZmzLIxj/kCxe/NmbProI1FPTHV4ON7fuhXtSiXQ2Ync3FxotVouXaNxiYFO5Eg/s6cX+vqizWx3NvOgG8gacMt64QqFwmqTlbfffhsuLi741re+NYAvMDCD2fXM8nsGBASINrQxGAw2eyos32fsau+vFeyw58OiSpwj5q11QRBQVVWFjPR0qBsbodbr0ezvjwbzSnIGA3Q6HWpra5Gens5Qp3GHgU7kSD+zp+VxcUi1CA7zVq4ze3tXVVUhMlI8Hn7o0CFRZbKGhgb8+9//xsaNGxHYV8FsOBnvubCwUHTc2cpyxnONW86aj33bmxFva428MyFps+fDTpU4ZGb2dsXbYN5aFwQBL7/8Mtrb26H384Pezw++vr7Qzp2LwsJCtJmVjq2qqoJOp+N6dBp3GOhEjvTNnhYOHIDcbEcuQS6HfM0am61A51u5pQDKERwcjqKiItErM2bMEP28c+dOdHZ24jvf+c5Qvo1d9sazna0sZ6t+u7Fb3GAxJi0IAgRBGPQaeZs9H3aqxDWtXYs9Tz7Z7wODXC7H4sWLRXMBkpKSTPdn+bsZ1dK/RE5ioBP1JzMTzWvXQm0Wuk0LFsDPbPa0uf7HzvUAtgHobU26uQFRUYtw4MC3ERg4y2bwvP322wgODsb69euH+m2cumdba8gHwvIBwdfXF83NzQCG3sK1atkHBNitEqcuKkJzUZFTkxJXrFgBmUxmNXySkpKCqqoq0TBCfxvHEI0FBjpRf1Qq+B49imOZmWg9eRJXfHww9+GH4WenK7f/sfNtAHJER3x9j2PBAj0yMtIBiIOnsLAQZ8+exbPPPivaeGU4Wd6zrTXkA2HZzT6cm9tYdpWffeUVJDg4X63XQ+/n1+9n2usxkMvlSE9PNxXauXn7Nm40NZl6GYjGCwY6kRPkcjmSt28Htm/H1evXsScvD2GBgVD7+lqda69+uiAIOH58F5KTs63eI5cbEBNTDrW60Sp43n77bchkMvzXf/3X8H+xfu55MARBGFqRmAHQ6XQorq11GOh6tXrInymXyyGXy03f68KZM9h58yYnx9G4wkAnGqDg6dORGBeHg0eP4oE1a+Bi0Wq219LT6XS4Xv4ZkpPtX1ut1iM0VBw8b7zxBt54441huXd7hrPmu06nM3WvG6lUKsydO3fYN4kxPvxcDQxEYH09zKPVoFCgaf58+C5ahMRh+EzLBy1OjqPxhoFONAgL4+NRW1+PY8XFWDZvnlPvqampwYpdhcC37Z8THJI64YuX2OraNi9EM2z0emx87TXR3AZzstWroc7MRLqdoZGBEAQBPWYlZY04OY7GE/YVEQ2CQqHAqqVLca6sDLV1df2eX1RSAlRVQXOwFsgC0G1xQjdwpSwGBiEaGRkZyMvLg2A2q34sGTdq2blzp1P3Zdm1PWLbzW7bBtXJk6JDBoUCmD+/dz16VpbdJWsDZVyGaGm4hg6IhgNb6ESDpPL2xl0LFmB/QQE2pqYicNo0u+eeuXQJK6ZP7/1hK4BMAOvMTsgBjv1nEYqn924fOhylYofLQEvYDnZ9+YA42v/cIuSHg60wl8lkDuvVE402BjrREMyMikJ3Tw/25OXhG1otAvz9bZ43TaWC4OXV+0MzgPUAYvr+U9b7n8tPit87XrpzB1rCdqT2YBdxcv/z4WK5lt54rLKy0mG9eqLRxEdKoiGKj41FcmIi9uTl4Vpjo81z/NVqXPHx6d3i0ziJrgxAFiCUy1AWHQ29n5/oPeOlO9fyPmzd10C75YdKiOxnp7m+/c8HdE0H38GyDK8lWy14otHGFjrRMEiIi4PBYMDnhw4haeZMxMfGwsPd3fS655QpuN7YaHOLz4qoKOzevBlA73izXC4f1pngQ+XMkjbLbvmjR48CAAIDA7F9+3a4uAzvXzW6a9cQYmN3NMv9z53SV//9uF6P3LIy03cA7rS6NRqNqSVui60WPNFoY6ATDZPEGTOg9vHByXPncOr8eUSGhsLX2xs+np4oq6mBJijIaovPvVeuoCsgAMHNzSM33jxEznShW3bDG9ecV1VVISMjA4899tiw3lNNTQ2O2tgdzXL/c4cs6r8nA1BHR2P35s1oVypN38lYqlalUpla7S0tLaJL9deCJxoNDHSiYRQaGIjQwEBca2xEzdWraG5tRfXVq2hrb0eMRnPnxL4tPpv+8x9ok5MREhAwdjc9DBztn15TUzPsE8eMn2fcHU0bGoqEBx4YWMvcRv33qIoKbProI2Skp5uGFnQ6HfLz8x1eSmP+75ZojDDQiUZAgJ8fAizGxG3p7OqCm6vrKNzRyLJV79xIEARTd/xwTRwTDQNotZiTkgIM5GHBzix5ucGAmPJyJHh4mGaw9zc+7uvrO26GR2hyY6ATjRGDwYDOri64u7mN9a2Ytk8d7FIzY73znTt32gx1YHhn7Q95Jn0/s+TbSkpQ2d6OyspKREREWL2ubmiAuqkJerUas+66a9wNk9DkxEAnGiOdnZ34+sYNfLx7NyL7iq8Yg2GoATtQA11rbosx1I33LQiCKNzNZ8eP9vez0s8+98b670Dv+LhWq0VNTQ0ivL0x+3e/g59Zdbquc+d6i9kMUxEbosFioBONkXydDrcaG3GrsRHVfcFnDNHhCNiBGOhac3vMW87d3d3IyMjAtWvXEBAQgOXLl5vOG+3vZ6Vvn3tDTk5vMZo+gkyGiqgo0RJCUdnadetgsChc45KbC2zd2jvZkWgMMdCJxkhtba3oZ/MQHa6AdVb/W74OXEFBgamFbpztblySZzkuPdpFdARBwJdPPIGIq1cRUlJiOm6+hFCpVCI5ORmCIGDnzp2YIZMh2V51uuzs3pULw1jMhmigGOhEYyQgMBC1ZkFmHqIjEbCODOf2qUa2dicDelvkluPSxqVhAKy64m0dG2r3vE6nQ+6JE8CmTVBrtdCGhqItJAT7+tahA0BycjKqq6tN9y2/dAkONsqDUFoKOQOdxhADnWgUtLW3o76hAREhIaY1y/GJiai8fBk+Hh5WIToSAevISJRrdbSUTSaTISIiQtSC1+l669hbdsXbOjbUezV/2ND7+eGQhwd8e3oQEREBmUwGjUZjNQdA388Y+fHmZoeBTzTSGOhEo6D566+RpdMhRqPBioUL4e7mBi9PT7j7+GDrpk1O76neevMmzpeXw0+lQsw4KQ1rj/lDiWU4ajQap4YVnD02UJYPG01NTWhqagIArFixAgBQZLEtq97fH1fi4xF09qyoOp1x3P2iIDDQaUxxrQXRKAjw84OHuzvqGxrwUXY2mlpbofL2hqurK7Kys/utga5vbkaWToddn3+Or86fh4fZUjdjDfI333wTmzdvRnBwMDw8PDB37ly8//77ouv85S9/wZIlS+Dv7w93d3eEh4djy5YtOHv2rM3Pra6uxre//W0EBwfD3d0dISEhSElJsbrf7OxsLF++HEqlEj4+Prjnnntw/vx5pKamIj09Henp6fjHP/6B119/HVqtFikpKaZhhPPnz+P555/Hiy++aDW0cOHCBXzzm9/EhQsXTMfCw8OHXDs+JSUFWq0WUVFR8PDwEL127Ngx5Obmoq2tTXQ8IiICuh/+EBVRUaLjxnH38VJ7nyYvttCJRoFcLocmOBhKDw/cbmvD6QsXoE1OhnDzJk4UFwO4052ckpIiGjPWxMTg4JdfIjo8HG6uroiPjUVoYKDp2sYZ4//85z9x9epVPPLII0hPT8f777+PrVu3QhAEbNu2DQDQ2NiI9evXIykpCSqVChUVFXjxxRexePFinDhxAjNmzDBd98yZM6bQe+WVVxAaGoqDBw/i3//+NyoqKkz329zcjAceeAD33Xcfdu/ejZaWFrzwwgtISUlBUVERoqOjIZfL8Y1vfAM7duzAjBkzIJfLTS34I0eOwMPDA6WlpZg7dy6AO0MN7777LuRyObZv346mpibT8MNQZ8mb94D85S9/MZWqBXpn55tTKpVYvHgxUlJS8OWePTav5+7uLprFTzQWZIZJuqtAa2srfHx80NLSAm9v77G+HZoEymtrUVRcjBWLFiH78GE8dv/9eP3NN9F95oypSInvokUIDw83hRUAeE2bhns2bMDla9fQcvMm7k1LE00K27lzJ7KysrBr1y5s2rQJCQkJ0Gq1SE1Nxd13342zZ8+ipqYGCotufaPz589j9uzZeO655/Cb3/wGQG/Rm/nz5wMAjh49Cnd3d5w4cQI///nPUVJSgubmZri6ukKj0eDrr7+GSqXCqVOnTPMDqqurERcXh82bNyMjIwMA8PHHH2PTpk3IzMzEli1bTJ+flJSEtLQ0/O1vf8Nnn32G9evXm16Ljo6GSqXC8ePHRfe8c+dOUZd5VFQU0tPTB/OvBYcOHRKVdtVoNKJZ+C4uLggNDcX27duh2LgRhpwcyM16BIxd7lfefptbqE5AUsoCdrkTjZLwwEB8fesWPNzdoZDLUXfxIja/+Sae3LED2zMy8ORrr2Hja6+h/vx50fs83dwgGAyounIFq5cutZrhHR4ejgsXLsDNzQ2zZ88GcGec+bHHHsPVq1fxwgsv2O2anjZtGgCIdkTLz8/HqVOn8NOf/hTufbvGZWZm4vLly5g3bx62bNmCe++9F0qlErW1tQgLCxNtUKLRaBAfH49PP/0UPX3rvLVaLWQymehhpbGxESUlJdi4cSMWLFiAQ4cOmV6rra1FRUUF0tLSrH+XTmzp6qzU1FRTT4RWq8Wjjz4KrVZr6orv7u5GVVUV/vPHP0K2f78ozIE75WKbjh0b9D0QDQd2uRONEldXVwQHBKD66lVEhoZC+e1vQ3XqlOgc1cmTWAPgwsaNpmMRGg3yi4owfcoUfLJ7t9XSrZSUFLS0tMDf39/UCjcGXFdXFwDgq6++Mr2WmpqKnp4edHd3o7KyEr/4xS8wffp0PP7446bPNLZYvby8sGHDBnzxxRdQKBTQarV45JFHIJPJEB4ejsjISGg0Ghw5csTq+7q7u+P27dsoLy9HXFwc1Go1EhMTRaGdl5cHhUKBZcuWITU1FV988YXpNeN5tgJ9OFcB2JqAmJqaisLCQtGx7osXHV4nenJ2dtI4wkAnGkVxGg0Ki4uxSq2Gum/PcHOynh6oi4qw7Nvfxslbt7Bg7lx0KhRw7ezEqb6We0VFBQRBMAWdXC6HXC5HSEgIoqKiRAH39ddfA4Bpgpex5T516lR0dHT03lNcHHJzcxEWFma6jytXrgAAHn/8cTz00EPYs2cP6urq8Ktf/QpPP/00iouLERQUBEEQ4O7ujubmZtH3aG5uxpkzZwD0tsKN0tLS8Kc//Ql1dXUICgpCbm4uFi5ciKlTpyI1NRWvvPIKWltb4e3tjdzcXCgUCpthPRLL7CwFBASIZuZ3+/o6PH/OffeN6P0Q9Ydd7kQjzHyaSnR4OFxcXNBhNmvblubjx+Hj5YVbbW2ob2xEs1koAkCJWXUzIz8/P6SnpyM1NdXUeg8JCRGdY2y5HzlyBF9++SXee+89eHl5IS0tTTTT3dg1v3TpUrz11ltYtWoVHn30UXz66adoaGjAX//6V9N5U6ZMgcFgwP/+7//i+vXrKCsrw6OPPorbt28DgGiIwPgQYux2z83NhVarBQDcddddAO70DhjD3svLy+HvaqRs374dvmYhvujf/4atNrgBwJX4eMjNJhQSjQUGOtEI6ujsxM7PPkND3xpnuVyOhfHxONXZ6fB99VOm4FpdHU6dOIGpBgPkMsuCo72My7eM67wtx8hj+yqXhYeHm5aLAcD8+fOxZMkSbN++HYcOHYLBYMCzzz5rep9fXy3ztWvXiq43d+5cBAUF4WRfPfPnn38eTU1NuPfee/Hb3/4WAQEBps80duGbP1QYHzYOHTqExsZGnDlzxtTS9vLywrx587Bz5068+uqrqKysNIX9SOhv6ZuLiwvUfZu0qBsaEFNeblX2FQBkAE4++OCI3SeRsxjoRCPIzdUVBgB78/LQevMmACA6LAwdERGonDULgsUEN0EmQ1l0tGhzkKryciQmJorOM/68a9dxvPnmZbi7x6OiokI0Pg3A1Or+zne+I2q5m/Py8sLMmTNRWlpqOjZnzhwAMI21m/cyGAwGyOVyvPXWW/jd736Hp59+Gp999hkaGxtRXFyMq1ev4vPPP0dNTQ0iIyMRGhpqeq+Pjw/mzZuH3Nxc5ObmQi6Xi5Z7RUVFQafTmVrp/v7+/fyGB8+49K2iogK5ubmmSnXmQW8M+cD6eofXUvb9uyUaSwx0ohEkk8kQPH06Orq6sDc/H+0dHZDJZHDv6cEH996LishI0fl18fH45OGHRce6u7uxYsUK0Uzs+PgVWLcOSE9PRkbGdpw79yk6Oz/Drl37RO999913ERwcjMWLF9u9x4aGBpSUlCAmJgZAbxlW4xKwZ555Bq6ursjLywMAnDx5EvX19XBzc8P3v/99fO9738PLL78MAPD09ERCQoKpBX/w4EH85Cc/sfq8tLQ0XLp0Cbt27cKCBQtEXeohISGor6/HhQsXIJfLRV3eRoMpKmPrPfYq1ZkHvXEMPdligpwl774lfkRjiZPiiEZY8PTpuHnrFhqvXsVf//53zE9MRGtTE9qVSmSkp0Pd2IjZbm5Y9f3vIyQ2FtP+8Q/ROuiQkBCrSWDr1gE5OZaftBrvvqvAkiVvIiYmBpmZmcjKysJ7770HhUKBlpYWrFmzBtu2bUNsbCyUSiVKS0vx5z//GR0dHdi+fREOHvxveHjEo7CwELt27cKf//xnbNy4EU1NTXj33Xfx3HPPwc/PD59++im+9a1v4e9//zvy8vJQVFSExMREGAwGHDt2DP/n//wfrFu3Dk888YTV7yMtLQ2vvPIKPvnkE/z3f/+36LWVK1fiT3/6Ey5cuICwsDBT9705y6IyxgcQW70Pxn3XT58+bSrtaly/bm8DHMugn97cDI3FzniWFv7zn8CGDdwTncYUA51ohIUHBWH/gQNovX4dQO+kL/NWqd7PDy5arWnrzUcffRT/3z/+gbr6enh7e+OBTZtE1yst7d2t05oLenrW4Nlnl6G19QRmzpwpKuLi4eGBpKQkvPHGG6itrUV7ezsCAwOxceNSPPecC0JCfn3nnvSL8Kc/ZSM+Ph5//vOfsWXLFnh5eSE2NhaFhYVIT0/HW2+9BZlMBjc3N+zevRu//e1v0dHRgdjYWPzmN7/Bj3/8Y5vFbFJSUuDi4oLu7m6rmeobNmxAdHQ0ysrKkJqaanOGu61d3HQ6nc1Z7+bhb3mN7du3m/7ZfGWAZdAvnT7d1i9bRJaTwz3RacyxUpwEqgPR+PfOO+9Y7X9u5OHpiTnz52NjX+EVo5u3b+PwiROora/H7OhozJ01C1OVSuzb19sYtGfvXsCs2JoT1kEQDkAuN6t+Jsghl68BcCegPvzwQ2zZsgVz587Fa6+9ZtUinjdvnqkIzUjKy8uzCml7leIsK8oZGSvp2WJs1ZuCPiAA8lmznLu50lLuiT7BSCkL2EInGgXR0dF2A10QBIQFBYnCHAA8p0zBupQU3NDrceLsWez6/HOsWrIE0dFhNq9j1DcU7qRSANmw7K3uDfdsAJcA9AbUnj17IAgCTp48abNueWVlpdU+5yMhJSUFVVVVojXi9irFWba2VSoVkpKSHBaisbnG/a67gMOH+7+5sjIGOo0ZttAl8FRG4595q6+np0c0Rr4wORkbnWhSF5WUoPnrr7Fm2TIkJl7BmTNBMBjuJLFCAaxePdBe330AHDT3sRfAgJr7o8KqFW1WOW8w5zlUWgqcOoWOxx+He9/aeofnMtAnFCllAVvoRKPAvNVnK2ScMd3PD2V9DwK//30VfvrTNpSX32mOr14NZGYO9M6i+3l9QM39UeNspbghVZTT64Ft20wTFtwBtHl4QGm2M5uRQaGAbPVqhjmNKQY60SgbbMhMU6nQcvMmurq6sGHDUnh56XDs2BkYDNG47745mDFjMKtQ4wCsBZADoMfsuALAahi726XMbit+2zYYcnJExWTcOzpQGxoKRU8PguvqTMdlg3uaIhpWDHSiCWKKUgmlhwcampsRNG0aUlNTMTzlzDMBbEXvmLnR6r7j0mdrb/WUgADIs7OtKsPJDQaEXb6M1558EgCg1uux9bnnWPaVxgUGOtEE4u/ri+uNjSg9d25o48IiKvTOZr8EoAy93exj2zIflrFvJzUVFiLm0iUIMhnkBgOapkzBWYMBCQ7eo9brURYbCyE6mmFO4wYDnWgC8Vep8NWJE6guKwNwp0XpqAvf+XCMxUgG+UBC2laredh3V+sbI7/fclF/RgauxcU5fqtaDZlMhh/84AfDe09EQ8BAJ5pA/FQqNPQVqDGyLLRiaVTC0QkDuQ97ZVmHlY0xcqNpZWW4pVRC2d4OudlCIEEmQ0VUFPR+fkhISoKbm9vw3xfRILGWO9EEMk2lgswiROytwTYalXB0wkDuw/I79fcdB6yv3J6sp8fmy3JBwNS2NtSabSwDAPUBAfhi5UooXF1xoqgIKSkpCA8Ph7u7OwICArB06VI8/fTTpvO7urrw+uuvY9GiRVCr1ZgyZQo0Gg3uu+8+fPLJJ6Jr19bW4oc//CHi4uKgVCqhVquRkJCA7373u6IaBs8//zxkMpnpP3K5HEFBQdiwYQMKCgpE18zNzYVMJsNHH31k83s+8cQTVvUPaOJiC51oAvH29ITP9OmYHR2Nhhs3nFr2Zq9m+UAMx5j2QO7D+J0GurTPaeXlTp12eMUKHAkIwJZDhyD76isE19fje2++idNBQUirq4NvZCS+9a1vYdWqVairq8Px48fx/vvv449//CMAID09HR9//DF++tOf4oUXXoC7uzsqKiqQlZWF7OxsPPDAAwCAy5cvY/78+fD19cXTTz+NGTNmoKWlBefOncMHH3yAiooKhIWJCwplZWXBx8fHtNHMSy+9BK1Wi8LCQsznZjGTEgOdaAKRyWTwV6kQGRWF9evWiV6zF7qW4bh8+XLk5eUNKJyHo9t+ICE9pPXjzojub/19L71ajfWffQZUVoqOz6mrw4cuLsh79FHExsaa7nXLli146aWXAPRWzvvXv/6F//mf/8ELL7xgeu+qVavw3e9+V7RL3JtvvomGhgYcO3YMkWY78N1///149tlnbe4ot2DBAtP2ssuWLUNycjKio6Px0UcfMdAnKQY60QTjr1KhsbnZ6ri90LUMR/Na6M6G83B02494SA9EXBywdm3vGLqNbnfjWDkMBsTYaM27AFjV3Y1zzc1WPQ3Gh6PGxkYAQFBQkM1bMH+IamxshFwux3Q7G8E40xvi4+MDAHB1de33XJImjqETTTD+KhVu9G0Fas7Z0B1MOA90THswe5YPhwF9bmZmb0EYGyqiorB782aobfyezdUeOgQ3Nzd0dXVZvTZr1iz4+vrihRdewBtvvCGqPW9p6dKlEAQBDz74ILKzs9Ha2urwcwGgp6cH3d3d6OzsRFlZGX70ox/B3d0dmzdv7ve9JE1soRNNMP4qFRpPnoTBYBBNaHJ2jNryvKamJuTl5Tnseh/omPZwzawf6Nj9gD5XpQKysnAsIwOX9u1Dj1wOhSBAr1ZD7+cHAND3s7/5J2fO4OVly+Dq6opFixbhnnvuwRNPPAFPT09MnToVGRkZeOyxx/D9738fAODn54eVK1ciPT0d99xzj+k627Ztg06nw5tvvon9+/dDJpNh5syZWLduHX784x/b3PQmMDBQ9LO3tzcyMzORkOBoBT1JGQOdaIJReXujp6cHrTdvwsdsX/WUlBQIgoCSkhIAgMFggCAIVgFoDOPTp0+jqakJTU1NphB0VG9+IIE8XDPrB/pgMJjPnfvQQ9hfWYkeG13ven9/lEVHI6qiwmr52tU5c5Dx9ts4dOgQjh8/jtzcXPzyl7/E66+/jqKiIvj7+2PDhg2oqalBdnY2CgoKcOzYMXz66af48MMP8aMf/Qg7duwA0Ds34u9//zt++ctfYu/evTh+/Djy8/Px6quv4vXXX8fevXutvndOTg58fHxgMBhw/fp1vPPOO9iyZQvef/9902Q7mlwY6EQTjEKhgMrHB9f1epw6edKq9drU102cl5cHmUxmFQTGseyamhrTuYA4/Ibawh6OmfWW92Tr50F/bmlp70z3mBhkHjliM8yNvli5ElNu3UJwff2d+5gxA6FffIHQadOQnJwMoHeJ2s9//nO8+uqreOmll0yT45RKJe6//37cf//9pu+wfv16/PWvf8UPfvADzJkzx3RdjUYjKlbzwQcfYOvWrXjmmWdw7Ngx0X0lJSWZJsUBwPr165GQkIAf/ehHpkB3cen9K97e9+vu7jadQxMf/00STUD+KhWOfvklKi5eBHAndAe61tte+A21hT1cy84G+mDg6HMFQcCXe/Yg4tlnEXLmjOn4XbGxqH/wQbQrlaJredy+jU27d4smxemmLceHCx4GYmXYdO6c6CHH1dUVv/71r/Hqq6/ijNn1bX2n733ve/jpT3+Ks2fPigLd0sMPP4w//OEPDq9nJJfLMWfOHHz44Ye4fv06pk+fjoCAAADAlStXbL7nypUrpnNo4mOgE01As6KicDQ/X3SsuroaGo1mWNZ6D7WFPVwz2gf6YODoc/Pz8xH61FMIMvteABBZVoZNH32EjPR00fFNu3cjqu9cPVTYhl3IvrGut+x9FpCbewV5eb1D8Ubnz58HAAQHB+Prr7+GTCaDp6en1b2YnwcAdXV1NmfD37x5E7W1tabzHOnp6UFJSQnc3d1N+3rHxsZCo9Hgww8/xFNPPSWac3Hjxg0cOnSIk+gkhIFONAEFTpsGpbs7Om/fNh0zdp9HRERAJpNBo9EMeq33iBd2cdJwPRgIgoDSzz+H1sYSNHnf0rSosjLIDQbo1Wqr5WrbsAs5EM+ILykJxF131WDHjnIIgoBTp07hj3/8Izw9PfGTn/wEFy9exNq1a7FlyxakpqYiKCgITU1N2LNnD9544w1otVosW7YMAPC73/0OBQUFeOSRRzB37lwolUpUVlZix44daGxsxMsvv2x13ydOnDAtVbt27RreeecdXLhwAU899RQ8PDxM573yyit4+OGHTevfAwMDcenSJbz44otwc3PDc889N+TfL40PDHSiCcrH2xstZmPgzc3NaO5bn67VaocUhONqzfgw0Ol0mGo2Bm5L+nvvmf75qtkM8lLEIhvrbLxDgXPnwvGNb9yLrq5zCAoKwurVq/HLX/4Ss2bNQnNzM372s5/hiy++wGeffYYbN27A1dUVsbGx+O1vf4uf/exnpgmL6X29A++//z5efvlltLS0QK1WY8GCBdi7dy/Wr19v9enrzAoLqdVqxMbG4p133sFjjz0mOm/z5s04cOAAXnrpJfzwhz/EzZs3MW3aNKxatQq//vWvEe1kkR0a/2QGg9nUzUmktbUVPj4+aGlpMXVPEU0k5gViLHl4eCAoKMjUSh+prUcnAkEQsGPHDsguXcKTfbPK+30P7hTp2Id12IB9ds/duxewkbc0QUgpCybv/8uJJriUlBSsWLECU7y84G9RYay9vR2VlZXIzc2FTqcbozscH3Q6HZqamqD390e1RT10e4x/MQoAouG47nvMtQKHrxONFgY60QQll8uRlpaGR7Zuhce0aXA3Gzc1N1a7q40X5t//2OLFA3qvHEAcLmEtsqBAt+g1BbqxFlmIrTk4HLdJNGQMdKIJLjwoCCEBAXa3wRz2rUcnGPPvX29RXc0ZgkyGTGzFauSIjq9GDjKxFVi6dMj3SDQcOCmOSAKWzZuHs8XFQFub6Zivry/mzp07ZjPU+zOYLVkH8x7j9y8sLLRb+c0AwN6u4HKDASo0Yx/WowwxKENM33+XQebnB6xZM5CvTTRiGOhEE5wgCPjqxAm4y2QQvLyg9vVFTHT0uJ8MN5hqdEOpYOfh4YG2tjbs3rwZmz76SLQsrcvbG279bIjS4eaG2M4yxKKs94CfH1BU5NRnE40GBjrRBGcecgDQ3dOD+AULIBgMwzOmZlYmFbGxw3FFAIOrRjeY91j+fpTBwbjy9tuICgyEvKICx/R67CsrQ1RZmWjpmqU3v/99+DQ3I/r6dXiuWYOEp54a1w9MNPnwTyPRBGcZap23b+PE8eP4KCsLV65dG/yF9Xpg3Tpgxgxgw4bePcTXrQP62VLUWQPdknWw77H8/ahUqt594mfMANavx8W+LVYrYmJQFh0NwWIuQg+AHBcX/Pi11/B/i4uRs3QpPr15c9KvHqDxh4FONMHZCjVPV1fMio7Gvvx8fHH0KNra2wd+4W3bYMgRTwQz5OQAW7cO9lZFUlJSoNVqERUVBa1W69RY/2De4+ghQBAE0Z7puzdvRlVMjOj8wx4e+H18PBQKhej4ZF89QOMPu9yJJriUlBRUVVWhqqrKdEyj0SBp5kxEhYWh4ORJvL93L5bOnYsZkZF2Z8OLlJYC2dlWE8VkPT1AdjY+ffllqJKThzROP5hqdIN5j6MytjqdTvR7a1cqsXP7dqgbG6HW69Hg64vWgACkCgIOnz0ruu5kXz1A4w8DnWiCk8vlSE9Pt5r9DQBeU6diXUoKKi9fxuGTJ3G+vBwzIiMRHhwMzylT7F/URs1zc7dOn8bpvjry471ErKOHgOrqapvHm/z9offz6/3BrAUP9E6uW7x48bhdPUCTFwOdSAL6a7lGhoYiNCAAZ8rKUFpVBd2JE/Dz9YUmOBjhwcGYrlaLW+791PfWq9UA+u92HswyM5tGaGKevcrXjipit7e3QyaTcUIcjTsMdKJJwtXVFfNmzcK8WbPQ1tGB2ro6VF+9ipLcXCgUCoQHBSEiJAShAQFwjYsD1q6FISent5u9j0EuR3lkpKn12l+381CWmQHonZi3bRuQnX3n2Nq1QGameN/SQbIcfvBrbIRKr4derb7TQrfBXsueaCwx0IkmIaW7O+IiIhAXEYGenh7UNzSg+upVHD11Cl/fuoWQgABE/O//YrbBAOzff+eNq1fj2pNPIqqpyaltVQezzEykb2KeeewacnIg27oVyMoa2LVg3WMQFhaGyspKuN28ic2ffIJYs6GGsuho7N68Ge1KpdV1JumeVjTOMdCJJjmFQoGQgACEBARg2bx5aG5tRfXVqzhx4QLc33gDMZ2dQFkZEBMDWWwslgNY7uS1w8PDTS1z489O62diHi5dGnD3u2WPwYoVK9DT04N5r7yCSItzoyoqsOmjj5DRt7Wp6B6cmVhINMoY6EQk4uvtDV9vb7R8/TWu6/WImTdv0OPWjmaY96ufiXkoK3N4X7bG7817CNTqBrS2/gtRslabu53LDQbElJfDT6/HreBg0Wsajcb570E0ShjoRGTTNLUapWZLugZjMMvMTPqZmAeL9eLmBEHAzp07TUvSjL0EYWFhuHr1DDZt2o2YmL4HhvsALAWwFUCz9bVUjY1o7Js06OXl5fT6d6LRxmmaRGTTNLUaDU1NYzdebJyYZ1HQxaBQQL9oEXYePYq8vDxRYRgjy/XlQG8vgcFgwKZNuxEVVSF+w2oAmbZvo7CxEWfPnoUgCHBxccGNGzfw8ccf48aNG0P4ckTDjy10IrJJ5e0NQRDQ8vXX8PX2HpubyMzsnQBnNsu9af58vLlyJdorKuzOnLc1+S48PBxNTYVIS7PRle8CYB2AGMC494ogkyHf3R2vmU2+y83NNY3BHzp0CFqtdghfjmh4MdCJyCaFQgG1ry9q6+vHLtBVqt7Z7JcumSbm7Tl6FO1mE+3shbf5ZLyIiAikpKTg7NlCx59nFugVUVE4sWULnnd1Nb2s1WrHfSEdmrwY6ERk16KEBOw/fBiB/v6Y1ldMZkzExpomwIVfvdrvzHlbk/HkcjnmzLkXwM/tfsw/l6VD4SeY1qErlUrRHvOs307jGQOdiOwKDwrC/NmzkX34MDatXQulu/tY35JTM+fNJ+NZznZfseJuAAchk90pmCMIMlRURKFSiAbMJs4HBASIxuKNm7mwShyNRwx0InJo3uzZuNHUhJwjR7AxNXXMw8zZmfPGID99+jSa+rZ8raiogIvLk5g1qwlqdZHp3IqKKOzevVn0/oiICGzfvh0ZGRmmUK+qqoJOp2O3O41LDHQickgmkyFt8WJ8fOAACouLsXTu3LG+JaeYF5ExV16uR0XFk2huLoJarYder4Zef6fMq4eHB5KTk3v3TJfLrR5g2O1O4xUDnYj65ebqinV33YWPDxzANLUaMeNo69Du7m5kZGTg2rVrCAgIwPbt2+Hi4mI3eA0GAzQaDSoqKkRBbhQcHIy0tDTTz0Oqdkc0ijgQRERO8fX2xsolS5BbWIjG5uaxvh0TY5d4W1sbqqqqkJGRAcB+8DY3N2Pp0qWIiIiAi4t1m8byfSkpKdBqtYiKimJRGRrX2EInIqdFhIQgaeZMZB8+jAfXrIHHOJgkd+3aNZs/G4P31KlTaDZ7AGlubkZmZqZV4RkAUKlUVoE9pGp3RKOILXQiGpCF8fHw9fLCF0ePjotdxwICAmz+bAzipKQkq/fY645PSkoa80l/RIPFP7lENCAymQwrlyzBtcZG1NbXj/XtYPv27YiIiIBSqTTNTDdXW1tr9R7LcrFyhQKpqansTqcJjV3uRDRgHu7umDd7No4VFyMsMHBMtxN1cXHBY489Zvd1y0lttgg9PZDJZGyd04TGQCeiQZkTE4PiCxdQXls7Lma9G9edV1dXw2AwQCaTQaPRYPny3t3bSz//HFPq6kxV4CxxORpNdAx0IhoUVxcXLIiPx/GSEkSFho556zY/Px95eXmiY5WVlbhw5Age+uQTpBbdKSRTFh2N3Zs3o12pNB3jcjSa6Ni/RESDNjMyEoLBgIuVlWN9KyguLrZ5fNXbb8P3+HHRsaiKCmz66CPTz56enhw/pwmPgU5Eg6ZQKLAoPh7Hz5xBd09P/28YZeqGBsSUl0NuMRtfbjAgprwc6sbG3p9tVIQjmmj4J5iIhiRGo4GHuzvOlZWN6X0kJCRYHVP31XC3R63XAwDDnCSBf4qJaEhkMhmSExJw4uxZdHZ1jdl9pKamQqvVQqVSmY7pzf7ZFn3flrCJiYkjem9Eo4GT4ohoyMKDg6Hy9kbxxYtYGB8/6p9vvkVqYmIiDAYDamtrYYiIwJX4eASfOweZ2dpzg0KBpvnzoZg9G8FKJSvBkSQw0IloyGQyGZITE7EvPx9zYmNN+6Zb7kWekpIypO5ty+stX74cBQUFVlukarVafPOb3+x90733Alu3AtnZd+539Wqodu2C+uhRzJ05k13uJAkMdCIaFsHTpyPQ3x9fnTuHZfPmARBvYWos7jKU1rDl9aqqqmzWZBetKVepgKws4NIloKwMiIkBYmNRd/062trbEc3laiQRfCwlomGTnJiIs2VlqL5yBQaDwapYy1CLt1i+33JjFiOba8pjY4H163v/F8C5sjLMiIyEq40d14gmIgY6EQ2baWo1ls2bhy8KC/FpTg58+yadGQ21eIvl+y03ZlGpVE5tcdrW3o7Ky5cxOzoaQG9Xfvb+/djx//4f9uzbZ1XrnWgi4KMpEQ2rOTExiNVocKa0FF+dPw//4GCguxsx0dFDLt5ifL/lGPpAxugNBgNOXbiAwGnT4Ovtja7ubvxr926UX7gAAGi8fh2eU6ZwohxNODLDeNj/cAy0trbCx8cHLS0t8Pb2HuvbIZrwunt6cOr8eVy+dg3Nra1YMGcOZkRGovrKFZTV1KC2rg5+KhUWxsdDExw8JvcoCAIKTp5EeW0tNqamoq2jA7rjx1FfXo6bLS2m86KiopCenj4m90ijS0pZwBY6EQ2LkosXUVZdjaSZM+Hh7o7DJ06gtq4OaYsXIzYiAu0dHbhUXY0DBQW4Jy0NAf7+o3p/XV1dOHDkCFpv3cKDa9bgYmUlii9exOKkJPi5uaHw6FHTuazrThMRx9CJaEgEQUDOwYPI3rsXUwHMiIxEZGgoHlq3DgqFAh9kZaG2rg4e7u5IiIvD4qQkZB0+jK9v3Rq1e7zV1obPvvgC3T09eGD1anh7euLKtWu4a8ECzImJQaerKyLj4hAVFeXUGDzReMQWOhENiU6nQ8HhwwCAk8ePw9vTE6mpqfBwd8fdy5fjYmUlsg8fxuyYGCQnJmJ2dDSOHT2Kt95+G/OTkoa8Nr0/DU1N2Jefj5CAAKQuWgSFQgEA6OzqgoebG8pra9HU2ootmzbB3c1txO6DaKQx0IloSBwtTZPJZJgZFYVAf3/kfPklPjlwAEpBwOW+3dmMa8qHYwKawWBAU2srZDIZFHI5XF1ccL2xETlffom5s2Zh/uzZkMlkpvM7u7oAmQxHTp7E0rlzGeY04THQiWhIwsPDTUVjjD/bqhD3wOrVOFZSgtwDB0TvH+ra9M6uLlysrMSZ0lLcvH0bkMnQ3d0NAHBRKKBNTkZsRIToPZWXL6OtowMXKyvh4+WFWI1mSPdANB4w0IloSFJSUnCtsRFVVVVYOG8eUlJSkJ+fj7y8PAC9Fd0MBgO0Wi2Wzp2Lpvp6FBUWmt4/2AloTa2tOFNaiouVlVD5+GBBfDyiwsLgolDAYDCgp28tuUtfF7tR3Y0byDlyBJ4yGU58+SXmJSTAYDCIWu9EExEDnYiGRC6XY/P99+PTgwcxRa2GXC5HcXGx6Jzi4mJotVoAwLq778ZUpVLUegeAru5uUxjbq/8uCAJq6upwprQUdTduIDo8HPesXIkAPz/R58lkMqsgBwB9czOydDr4urjgXEkJAKDw6FEoPTy47pwmPAY6EQ2ZXC5H6qJF+PjAgX67r+VyOVJTUyEIAq43NuL4mTOoqavDDb0e7m5u6GhpwfXaWgC9rfv2jg6sWLECF6uqcPbSJfT09GBObCxWLlmCKUqlU/fX1dWFr86fx+mLFzFv1iwcP3JE9PpQu/2JxgMGOhENCz9fX8THxiK/qAgJCQnIz883vZaQkACgt+RqTV0daurqcLm+HgAQFhiIxBkzEDx9Oto7OrD7ww9F1z1ZXIyKxkYETZuGxUlJiAwJMc1Ud8aVa9dw8Msv4e3piftWrYL31Kk4rNOJzuG6c5ICBjoRDZuF8fH4MCsLjc3NUAUGouP2bXh6e6NVEPBRdjYamprgr1JBExyMxLg4TOvrojfynDIFM2fMQH1dnenY0oULsXjJEig9PAZ8Pz09PcgrKkJCXBzmzpqFzq4u7MvPR9ysWZgyaxZqa2tF3f5EExkDnYiGjauLCzavXYuvb91CV1cXOru70dXdja6uLijkcoQEBPTbTW5Zr30o69QvVFZCLpMhaeZMtHd2Yk9uLpQeHlizfDl3WSPJ4Z9oIhpWbq6u8PP1HfT7jWPsQ9XW3o7jZ85g+fz5aOvowH8OHYLK2xurly4dUJc90UTBQCciyREEAQeOHEHw9OmYrlbj05wcBE2bBm1y8ohWpSMaS/yTTUSSU1RSgtttbUiaOROfHTwITXAw0hYvZpiTpPFPNxFJStWVKygpLcWCOXOwNy8PMyIjsXz+fBaOIcljlzsRSUbrzZv44uhRzIyKgu7ECcybPRvzZs0a69siGhUMdCKShO6eHuwvKMAUpRIXKiqwZO5cxMfGjvVtEY0aBjoRScLFykrc0OuhkMuRmpyMGZGRY31LRKOKgU5EE54gCMgvKgIArF62DFFhYWN8R0Sjj4FORBOWcZe0isuXAQAbUlOhCQ4e47siGhsMdCKacARBQPb+/fiqpARBQUHY+tBD2LpxI3y9vcf61ojGDJetEdGEcyAnB8cKC9F1+zZqystRePQow5wmPQY6EU0oPT09OHH6tOgYtz8lYqAT0TgnCALy8vKwc+dO5OXlAQBmWCxH4/anRBxDJ6JxTqfTITc3FwBQUVEBAHjg3nvhr1KJdmQjmuwY6EQ0rnT39OBYcTF6enqwdN48q+70mpqaYduRjUhKGOhENG7oW1qQc+QIAODm7dsICQhAeHi4qWUOsHudyB4GOhGNntJSoLwciIkBLMbBu7q68K+9ewEAri4u8Jw6FdPUakSEhAAAu9eJ+sFAJ6KRp9cD27YB2dmmQ4a778aRJ59ERVMTwsPDsSg5GWGBgfCaOhWxEREImjbNtEMau9eJ+sdAJ6KRt20bDDk5EG1gmpODgPJy5KSnm7rUv5GWNia3RyQFDHQiMqmsrUXZxYuor6szdW/L5QNf3SoIAo699x5qc3PRJQjYlp0Ny93IZYKAmPJyqBsboffz41pyoiFioBORye7PPsOtxkYAd5aIDbS7W2howI2778aSr77CEifOV+v10Pv5cbIb0RCxsAwRmch6ekQ/V1RWOv1eg8GAktJS1N19N6ZZVHJzZGpSErRaLSe7EQ0RA51oEukxC2zLCmyCIGDOzJmi85tv38b58nIYDIZ+r93e2YmyAwcQ8tVXkAtCv+cbFApg7Vrc/8wzSE1NHVTXPhHdwS53oknkP4cOITQwEAvj421WYLt7zRo0tbbiyuXLWDB3LiLj4qA7fhzNra3obG0VLR2zDGCluzvui4hw+l5kq1cDmZnD9dWIJj0GOtEkcbutDfUNDbjR1ISIkBC7FdgefvBBfJidjelhYYgICcH1xkacOnkSddXVAByPrcst1pZb2b8f6O62uQ6diIaGgU40SdTW18PP1xedra34xz/+AX+VSvS6cVKaQqFAoL8/bt2+jRNnz6L44kXILcbW7c5Ij4sD1q7tXaJm9h6DQtHbIl+zZni/FBGZcNCKaBLo6OzE+fJydLa2ouz8edxqbUV1dTU8PDygUqmQmpoqmpTm4+mJk+fO4VJ1Ne5dtQqxMTGi6zmckZ6Z2RveZti9TjTy2EInkhBBEKDT6URj3Q3NzThQUACvqVNxq7VVdH57ezva29shk8lEY+LzZs+GJiQE3p6ecFEo4N8X9k6VX1WpgKws4NIloKyM3etEo4SBTiQhlhPdmltbce32bfQIAlpv3kR7V5fN99nqQlf7+Jj+eVC7m8XGMsiJRhEDnWiCam5txb/37EFtVRVkAGJnzEDbzZuicxpu3MCylBSovL3h6+0NDzc3HD58GKdPn0ZTU5PpPBZ1IZr4GOhEE9CFigp8vnevqaobAJwrKUGExbKxmOhoxFu0ko3j5ZZd80Q0sTHQiSag7p4edLa1WR2XyWTQarX9BvWgutCJaFxjoBNNQHNiYlA/fz4KDh8WHddoNAxqokmKgU40AclkMqxMS4OLQoHi4mIAQEJCArvOiSYxmcGZIs0S1NraCh8fH7S0tMDb23usb4eIiMaAlLKAhWWIiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAJcxvoGxlpra+tY3wIREY0RKWXApA10d3d3AEBYWNgY3wkREY2lwMBAuLm5jfVtDJnMYDAYxvomxkpHRwc6OjrG+jaIiGgMubm5wcPDY6xvY8gmdaATERFJBSfFERERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERSQADnYiISAIY6ERERBLAQCciIpIABjoREZEEMNCJiIgkgIFOREQkAQx0IiIiCWCgExERScD/DzmHQcSCrE1UAAAAAElFTkSuQmCC' 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",
    "#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_neg.TOTALS.to_numpy()):\n",
    "    # get the station id\n",
    "    stid = df_ppt_neg.index[i]\n",
    "    # save the total as a string\n",
    "    str_tot = \"%.d\" % np.round(tot)\n",
    "    print(i,stid,tot,str_tot,x_neg[i],y_neg[i])\n",
    "    #label the big totals\n",
    "    ax.annotate(str_tot, (x_neg[i], y_neg[i]),size='large')\n",
    "\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(stid, (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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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