final_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Zillow Data Time Series Analysis\n",
    "\n",
    "### Contributors: Sanjit Varma, Anthony Conte, Harmandip Singh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing necessary Packages\n",
    "import warnings\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm\n",
    "from collections import Counter\n",
    "import folium\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "from matplotlib.pylab import rcParams\n",
    "%matplotlib inline\n",
    "\n",
    "#Custom Helper Function to melt Time Series Data\n",
    "import tools.helpers as th"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Business Understanding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "&emsp; Our client is looking to purchase a home in the Miami-Dade county after recently accepting a job offer in the area. The client has established that they are not looking to spend over $300,000. They also specified that their current job offer is a 3 year contract and therefore there is a reasonable possibility that they may have to relocate after 3 years. \n",
    "\n",
    "&emsp; Therefore, they have approached us to identify neighborhoods that have average prices under their budget which would also give them the highest return on investment if they were to sell their property upon relocation in 3 years. Our task is to identify the best 5 Zip Codes which we believe will have the highest ROI after 3 years of purchase. i.e. We want the zipcodes that we believe will appreciate the most in value after 3 years. These predictions will be made using Time Series modeling. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Understanding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us import our data and took a look at the dataset we get to work with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loading our dataset\n",
    "df = pd.read_csv('data/zillow_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RegionID</th>\n",
       "      <th>RegionName</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>Metro</th>\n",
       "      <th>CountyName</th>\n",
       "      <th>SizeRank</th>\n",
       "      <th>1996-04</th>\n",
       "      <th>1996-05</th>\n",
       "      <th>1996-06</th>\n",
       "      <th>...</th>\n",
       "      <th>2017-07</th>\n",
       "      <th>2017-08</th>\n",
       "      <th>2017-09</th>\n",
       "      <th>2017-10</th>\n",
       "      <th>2017-11</th>\n",
       "      <th>2017-12</th>\n",
       "      <th>2018-01</th>\n",
       "      <th>2018-02</th>\n",
       "      <th>2018-03</th>\n",
       "      <th>2018-04</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>84654</td>\n",
       "      <td>60657</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>Cook</td>\n",
       "      <td>1</td>\n",
       "      <td>334200.0</td>\n",
       "      <td>335400.0</td>\n",
       "      <td>336500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1005500</td>\n",
       "      <td>1007500</td>\n",
       "      <td>1007800</td>\n",
       "      <td>1009600</td>\n",
       "      <td>1013300</td>\n",
       "      <td>1018700</td>\n",
       "      <td>1024400</td>\n",
       "      <td>1030700</td>\n",
       "      <td>1033800</td>\n",
       "      <td>1030600</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>90668</td>\n",
       "      <td>75070</td>\n",
       "      <td>McKinney</td>\n",
       "      <td>TX</td>\n",
       "      <td>Dallas-Fort Worth</td>\n",
       "      <td>Collin</td>\n",
       "      <td>2</td>\n",
       "      <td>235700.0</td>\n",
       "      <td>236900.0</td>\n",
       "      <td>236700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>308000</td>\n",
       "      <td>310000</td>\n",
       "      <td>312500</td>\n",
       "      <td>314100</td>\n",
       "      <td>315000</td>\n",
       "      <td>316600</td>\n",
       "      <td>318100</td>\n",
       "      <td>319600</td>\n",
       "      <td>321100</td>\n",
       "      <td>321800</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>91982</td>\n",
       "      <td>77494</td>\n",
       "      <td>Katy</td>\n",
       "      <td>TX</td>\n",
       "      <td>Houston</td>\n",
       "      <td>Harris</td>\n",
       "      <td>3</td>\n",
       "      <td>210400.0</td>\n",
       "      <td>212200.0</td>\n",
       "      <td>212200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>321000</td>\n",
       "      <td>320600</td>\n",
       "      <td>320200</td>\n",
       "      <td>320400</td>\n",
       "      <td>320800</td>\n",
       "      <td>321200</td>\n",
       "      <td>321200</td>\n",
       "      <td>323000</td>\n",
       "      <td>326900</td>\n",
       "      <td>329900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>84616</td>\n",
       "      <td>60614</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>Cook</td>\n",
       "      <td>4</td>\n",
       "      <td>498100.0</td>\n",
       "      <td>500900.0</td>\n",
       "      <td>503100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1289800</td>\n",
       "      <td>1287700</td>\n",
       "      <td>1287400</td>\n",
       "      <td>1291500</td>\n",
       "      <td>1296600</td>\n",
       "      <td>1299000</td>\n",
       "      <td>1302700</td>\n",
       "      <td>1306400</td>\n",
       "      <td>1308500</td>\n",
       "      <td>1307000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>93144</td>\n",
       "      <td>79936</td>\n",
       "      <td>El Paso</td>\n",
       "      <td>TX</td>\n",
       "      <td>El Paso</td>\n",
       "      <td>El Paso</td>\n",
       "      <td>5</td>\n",
       "      <td>77300.0</td>\n",
       "      <td>77300.0</td>\n",
       "      <td>77300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>119100</td>\n",
       "      <td>119400</td>\n",
       "      <td>120000</td>\n",
       "      <td>120300</td>\n",
       "      <td>120300</td>\n",
       "      <td>120300</td>\n",
       "      <td>120300</td>\n",
       "      <td>120500</td>\n",
       "      <td>121000</td>\n",
       "      <td>121500</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <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>14718</th>\n",
       "      <td>58333</td>\n",
       "      <td>1338</td>\n",
       "      <td>Ashfield</td>\n",
       "      <td>MA</td>\n",
       "      <td>Greenfield Town</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>14719</td>\n",
       "      <td>94600.0</td>\n",
       "      <td>94300.0</td>\n",
       "      <td>94000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>216800</td>\n",
       "      <td>217700</td>\n",
       "      <td>218600</td>\n",
       "      <td>218500</td>\n",
       "      <td>218100</td>\n",
       "      <td>216400</td>\n",
       "      <td>213100</td>\n",
       "      <td>209800</td>\n",
       "      <td>209200</td>\n",
       "      <td>209300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14719</th>\n",
       "      <td>59107</td>\n",
       "      <td>3293</td>\n",
       "      <td>Woodstock</td>\n",
       "      <td>NH</td>\n",
       "      <td>Claremont</td>\n",
       "      <td>Grafton</td>\n",
       "      <td>14720</td>\n",
       "      <td>92700.0</td>\n",
       "      <td>92500.0</td>\n",
       "      <td>92400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>202100</td>\n",
       "      <td>208400</td>\n",
       "      <td>212200</td>\n",
       "      <td>215200</td>\n",
       "      <td>214300</td>\n",
       "      <td>213100</td>\n",
       "      <td>213700</td>\n",
       "      <td>218300</td>\n",
       "      <td>222700</td>\n",
       "      <td>225800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14720</th>\n",
       "      <td>75672</td>\n",
       "      <td>40404</td>\n",
       "      <td>Berea</td>\n",
       "      <td>KY</td>\n",
       "      <td>Richmond</td>\n",
       "      <td>Madison</td>\n",
       "      <td>14721</td>\n",
       "      <td>57100.0</td>\n",
       "      <td>57300.0</td>\n",
       "      <td>57500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>121800</td>\n",
       "      <td>122800</td>\n",
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       "      <td>126700</td>\n",
       "      <td>128800</td>\n",
       "      <td>130600</td>\n",
       "      <td>131700</td>\n",
       "      <td>132500</td>\n",
       "      <td>133000</td>\n",
       "      <td>133400</td>\n",
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       "    <tr>\n",
       "      <th>14721</th>\n",
       "      <td>93733</td>\n",
       "      <td>81225</td>\n",
       "      <td>Mount Crested Butte</td>\n",
       "      <td>CO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gunnison</td>\n",
       "      <td>14722</td>\n",
       "      <td>191100.0</td>\n",
       "      <td>192400.0</td>\n",
       "      <td>193700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>662800</td>\n",
       "      <td>671200</td>\n",
       "      <td>682400</td>\n",
       "      <td>695600</td>\n",
       "      <td>695500</td>\n",
       "      <td>694700</td>\n",
       "      <td>706400</td>\n",
       "      <td>705300</td>\n",
       "      <td>681500</td>\n",
       "      <td>664400</td>\n",
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       "    <tr>\n",
       "      <th>14722</th>\n",
       "      <td>95851</td>\n",
       "      <td>89155</td>\n",
       "      <td>Mesquite</td>\n",
       "      <td>NV</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>Clark</td>\n",
       "      <td>14723</td>\n",
       "      <td>176400.0</td>\n",
       "      <td>176300.0</td>\n",
       "      <td>176100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>333800</td>\n",
       "      <td>336400</td>\n",
       "      <td>339700</td>\n",
       "      <td>343800</td>\n",
       "      <td>346800</td>\n",
       "      <td>348900</td>\n",
       "      <td>350400</td>\n",
       "      <td>353000</td>\n",
       "      <td>356000</td>\n",
       "      <td>357200</td>\n",
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       "<p>14723 rows × 272 columns</p>\n",
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       "       RegionID  RegionName                 City State              Metro  \\\n",
       "0         84654       60657              Chicago    IL            Chicago   \n",
       "1         90668       75070             McKinney    TX  Dallas-Fort Worth   \n",
       "2         91982       77494                 Katy    TX            Houston   \n",
       "3         84616       60614              Chicago    IL            Chicago   \n",
       "4         93144       79936              El Paso    TX            El Paso   \n",
       "...         ...         ...                  ...   ...                ...   \n",
       "14718     58333        1338             Ashfield    MA    Greenfield Town   \n",
       "14719     59107        3293            Woodstock    NH          Claremont   \n",
       "14720     75672       40404                Berea    KY           Richmond   \n",
       "14721     93733       81225  Mount Crested Butte    CO                NaN   \n",
       "14722     95851       89155             Mesquite    NV          Las Vegas   \n",
       "\n",
       "      CountyName  SizeRank   1996-04   1996-05   1996-06  ...  2017-07  \\\n",
       "0           Cook         1  334200.0  335400.0  336500.0  ...  1005500   \n",
       "1         Collin         2  235700.0  236900.0  236700.0  ...   308000   \n",
       "2         Harris         3  210400.0  212200.0  212200.0  ...   321000   \n",
       "3           Cook         4  498100.0  500900.0  503100.0  ...  1289800   \n",
       "4        El Paso         5   77300.0   77300.0   77300.0  ...   119100   \n",
       "...          ...       ...       ...       ...       ...  ...      ...   \n",
       "14718   Franklin     14719   94600.0   94300.0   94000.0  ...   216800   \n",
       "14719    Grafton     14720   92700.0   92500.0   92400.0  ...   202100   \n",
       "14720    Madison     14721   57100.0   57300.0   57500.0  ...   121800   \n",
       "14721   Gunnison     14722  191100.0  192400.0  193700.0  ...   662800   \n",
       "14722      Clark     14723  176400.0  176300.0  176100.0  ...   333800   \n",
       "\n",
       "       2017-08  2017-09  2017-10  2017-11  2017-12  2018-01  2018-02  2018-03  \\\n",
       "0      1007500  1007800  1009600  1013300  1018700  1024400  1030700  1033800   \n",
       "1       310000   312500   314100   315000   316600   318100   319600   321100   \n",
       "2       320600   320200   320400   320800   321200   321200   323000   326900   \n",
       "3      1287700  1287400  1291500  1296600  1299000  1302700  1306400  1308500   \n",
       "4       119400   120000   120300   120300   120300   120300   120500   121000   \n",
       "...        ...      ...      ...      ...      ...      ...      ...      ...   \n",
       "14718   217700   218600   218500   218100   216400   213100   209800   209200   \n",
       "14719   208400   212200   215200   214300   213100   213700   218300   222700   \n",
       "14720   122800   124600   126700   128800   130600   131700   132500   133000   \n",
       "14721   671200   682400   695600   695500   694700   706400   705300   681500   \n",
       "14722   336400   339700   343800   346800   348900   350400   353000   356000   \n",
       "\n",
       "       2018-04  \n",
       "0      1030600  \n",
       "1       321800  \n",
       "2       329900  \n",
       "3      1307000  \n",
       "4       121500  \n",
       "...        ...  \n",
       "14718   209300  \n",
       "14719   225800  \n",
       "14720   133400  \n",
       "14721   664400  \n",
       "14722   357200  \n",
       "\n",
       "[14723 rows x 272 columns]"
      ]
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     "execution_count": 3,
     "metadata": {},
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   ],
   "source": [
    "#Observing what our dataset looks like\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since our client wants to move to Miami-Dade County, let us filter this dataframe to only include records within the specified region.\n",
    "\n",
    "## Looking at our Miami-Dade County data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dataframe containing only zips from Miami-Dade County\n",
    "\n",
    "miami_dade =  df[df['CountyName']=='Miami-Dade']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th>RegionName</th>\n",
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       "      <th>60</th>\n",
       "      <td>72463</td>\n",
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       "      <td>Sunny Isles Beach</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
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       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>72442</td>\n",
       "      <td>33139</td>\n",
       "      <td>Miami Beach</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>85</td>\n",
       "      <td>480200.0</td>\n",
       "      <td>480700.0</td>\n",
       "      <td>481200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2917100</td>\n",
       "      <td>2925700</td>\n",
       "      <td>2942400</td>\n",
       "      <td>2958300</td>\n",
       "      <td>2946300</td>\n",
       "      <td>2912900</td>\n",
       "      <td>2900900</td>\n",
       "      <td>2923300</td>\n",
       "      <td>2933600</td>\n",
       "      <td>2914100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>72488</td>\n",
       "      <td>33186</td>\n",
       "      <td>The Crossings</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>223</td>\n",
       "      <td>120600.0</td>\n",
       "      <td>120500.0</td>\n",
       "      <td>120500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>310600</td>\n",
       "      <td>311800</td>\n",
       "      <td>313700</td>\n",
       "      <td>314800</td>\n",
       "      <td>315300</td>\n",
       "      <td>317500</td>\n",
       "      <td>320700</td>\n",
       "      <td>322800</td>\n",
       "      <td>323900</td>\n",
       "      <td>324500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>72350</td>\n",
       "      <td>33012</td>\n",
       "      <td>Hialeah</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>227</td>\n",
       "      <td>118400.0</td>\n",
       "      <td>118500.0</td>\n",
       "      <td>118500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>300300</td>\n",
       "      <td>302100</td>\n",
       "      <td>304500</td>\n",
       "      <td>306400</td>\n",
       "      <td>307200</td>\n",
       "      <td>308900</td>\n",
       "      <td>311400</td>\n",
       "      <td>314100</td>\n",
       "      <td>317500</td>\n",
       "      <td>320500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>72460</td>\n",
       "      <td>33157</td>\n",
       "      <td>Village of Palmetto Bay</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>377</td>\n",
       "      <td>106400.0</td>\n",
       "      <td>106600.0</td>\n",
       "      <td>106800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>295600</td>\n",
       "      <td>298300</td>\n",
       "      <td>301600</td>\n",
       "      <td>304400</td>\n",
       "      <td>305900</td>\n",
       "      <td>307500</td>\n",
       "      <td>309700</td>\n",
       "      <td>312500</td>\n",
       "      <td>316400</td>\n",
       "      <td>319800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>72353</td>\n",
       "      <td>33015</td>\n",
       "      <td>Country Club</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>497</td>\n",
       "      <td>114100.0</td>\n",
       "      <td>114200.0</td>\n",
       "      <td>114300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>316200</td>\n",
       "      <td>319300</td>\n",
       "      <td>322800</td>\n",
       "      <td>326100</td>\n",
       "      <td>328100</td>\n",
       "      <td>330100</td>\n",
       "      <td>333100</td>\n",
       "      <td>334900</td>\n",
       "      <td>335200</td>\n",
       "      <td>335300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>72444</td>\n",
       "      <td>33141</td>\n",
       "      <td>Miami Beach</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>513</td>\n",
       "      <td>179500.0</td>\n",
       "      <td>179900.0</td>\n",
       "      <td>180300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>817100</td>\n",
       "      <td>837600</td>\n",
       "      <td>847000</td>\n",
       "      <td>843600</td>\n",
       "      <td>838500</td>\n",
       "      <td>836400</td>\n",
       "      <td>839800</td>\n",
       "      <td>838400</td>\n",
       "      <td>833400</td>\n",
       "      <td>830900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>72478</td>\n",
       "      <td>33176</td>\n",
       "      <td>Kendall</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>767</td>\n",
       "      <td>164800.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>458700</td>\n",
       "      <td>459900</td>\n",
       "      <td>462300</td>\n",
       "      <td>464900</td>\n",
       "      <td>465800</td>\n",
       "      <td>466100</td>\n",
       "      <td>467400</td>\n",
       "      <td>470000</td>\n",
       "      <td>473500</td>\n",
       "      <td>476100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>72480</td>\n",
       "      <td>33178</td>\n",
       "      <td>Doral</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>832</td>\n",
       "      <td>165100.0</td>\n",
       "      <td>165300.0</td>\n",
       "      <td>165400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>409000</td>\n",
       "      <td>407500</td>\n",
       "      <td>406100</td>\n",
       "      <td>404400</td>\n",
       "      <td>401700</td>\n",
       "      <td>400000</td>\n",
       "      <td>399500</td>\n",
       "      <td>399800</td>\n",
       "      <td>401500</td>\n",
       "      <td>403500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>838</th>\n",
       "      <td>72428</td>\n",
       "      <td>33125</td>\n",
       "      <td>Miami</td>\n",
       "      <td>FL</td>\n",
       "      <td>Miami-Fort Lauderdale</td>\n",
       "      <td>Miami-Dade</td>\n",
       "      <td>839</td>\n",
       "      <td>98700.0</td>\n",
       "      <td>98700.0</td>\n",
       "      <td>98700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>266400</td>\n",
       "      <td>267200</td>\n",
       "      <td>267800</td>\n",
       "      <td>268000</td>\n",
       "      <td>269000</td>\n",
       "      <td>270800</td>\n",
       "      <td>272400</td>\n",
       "      <td>275100</td>\n",
       "      <td>279700</td>\n",
       "      <td>282900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 272 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     RegionID  RegionName                     City State  \\\n",
       "60      72463       33160        Sunny Isles Beach    FL   \n",
       "84      72442       33139              Miami Beach    FL   \n",
       "222     72488       33186            The Crossings    FL   \n",
       "226     72350       33012                  Hialeah    FL   \n",
       "376     72460       33157  Village of Palmetto Bay    FL   \n",
       "496     72353       33015             Country Club    FL   \n",
       "512     72444       33141              Miami Beach    FL   \n",
       "766     72478       33176                  Kendall    FL   \n",
       "831     72480       33178                    Doral    FL   \n",
       "838     72428       33125                    Miami    FL   \n",
       "\n",
       "                     Metro  CountyName  SizeRank   1996-04   1996-05  \\\n",
       "60   Miami-Fort Lauderdale  Miami-Dade        61  337300.0  337900.0   \n",
       "84   Miami-Fort Lauderdale  Miami-Dade        85  480200.0  480700.0   \n",
       "222  Miami-Fort Lauderdale  Miami-Dade       223  120600.0  120500.0   \n",
       "226  Miami-Fort Lauderdale  Miami-Dade       227  118400.0  118500.0   \n",
       "376  Miami-Fort Lauderdale  Miami-Dade       377  106400.0  106600.0   \n",
       "496  Miami-Fort Lauderdale  Miami-Dade       497  114100.0  114200.0   \n",
       "512  Miami-Fort Lauderdale  Miami-Dade       513  179500.0  179900.0   \n",
       "766  Miami-Fort Lauderdale  Miami-Dade       767  164800.0  165000.0   \n",
       "831  Miami-Fort Lauderdale  Miami-Dade       832  165100.0  165300.0   \n",
       "838  Miami-Fort Lauderdale  Miami-Dade       839   98700.0   98700.0   \n",
       "\n",
       "      1996-06  ...  2017-07  2017-08  2017-09  2017-10  2017-11  2017-12  \\\n",
       "60   338300.0  ...  1466200  1471000  1485400  1497700  1504200  1507600   \n",
       "84   481200.0  ...  2917100  2925700  2942400  2958300  2946300  2912900   \n",
       "222  120500.0  ...   310600   311800   313700   314800   315300   317500   \n",
       "226  118500.0  ...   300300   302100   304500   306400   307200   308900   \n",
       "376  106800.0  ...   295600   298300   301600   304400   305900   307500   \n",
       "496  114300.0  ...   316200   319300   322800   326100   328100   330100   \n",
       "512  180300.0  ...   817100   837600   847000   843600   838500   836400   \n",
       "766  165000.0  ...   458700   459900   462300   464900   465800   466100   \n",
       "831  165400.0  ...   409000   407500   406100   404400   401700   400000   \n",
       "838   98700.0  ...   266400   267200   267800   268000   269000   270800   \n",
       "\n",
       "     2018-01  2018-02  2018-03  2018-04  \n",
       "60   1495800  1466200  1443900  1432300  \n",
       "84   2900900  2923300  2933600  2914100  \n",
       "222   320700   322800   323900   324500  \n",
       "226   311400   314100   317500   320500  \n",
       "376   309700   312500   316400   319800  \n",
       "496   333100   334900   335200   335300  \n",
       "512   839800   838400   833400   830900  \n",
       "766   467400   470000   473500   476100  \n",
       "831   399500   399800   401500   403500  \n",
       "838   272400   275100   279700   282900  \n",
       "\n",
       "[10 rows x 272 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Observing what our Miami-Dade dataset looks like\n",
    "\n",
    "miami_dade.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see from the above dataframe that the County area is divided into smaller cities within it. And some City regions like 'Miami Beach' seem to be further divided into different zipcode regions.\n",
    "\n",
    "## Cities located within the Miami-Dade County region\n",
    "\n",
    "Let's take a look at the number of cities present within Miami-Dade county and get an understanding of how they are divided into zipcodes respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing the value counts of zipcodes in each city in the Miami-Dade county\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15,12))\n",
    "\n",
    "y = [a for a in miami_dade['City'].value_counts()]\n",
    "\n",
    "x = [a for a in miami_dade['City'].value_counts().keys()]\n",
    "\n",
    "ax.barh(x,y,color='brown')\n",
    "ax.set_title('Cities in Miami-Dade County',fontsize=30)\n",
    "ax.set_ylabel('Cities',fontsize=20)\n",
    "ax.set_xlabel('Number of Zipcodes in the City',fontsize=20);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see above that the city of Miami is divided into the highest number of zipcodes.\n",
    "\n",
    "Now that we have some understanding of our how the Miami-Dade county is divided, we can now narrow our focus based on our client's requirement."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtering for Client's Budget Limit\n",
    "\n",
    "Since our client has a budget of under 300,000 Dollars we only want to look at zipcodes that fall underneath that price ceiling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#miami_budget is a dataframe of Miami-Dade County with zipcodes having an average price under $300000 as of April, 2018.\n",
    "miami_budget = miami_dade[miami_dade['2018-04']<=300000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#List of Zip Codes in the Miami-Fort Lauderdale metro region within client's budget.\n",
    "miami_budget_zips = [a for a in miami_budget['RegionName']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have filtered Miami-Dade to only include zipcodes having under $300000 in average home value. Let's now take a look at how many cities and zipcodes we are left with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Pulling necessary data from the dataframe for the bar chart\n",
    "\n",
    "#Getting City Names\n",
    "city_names = []\n",
    "\n",
    "for zipcode in miami_budget_zips:\n",
    "    city_names.append(miami_budget[miami_budget['RegionName']==zipcode].iloc[0]['City'])\n",
    "\n",
    "#Retrieving number of zipcodes for each city and feeding it to count_dict\n",
    "count_dict = {}\n",
    "for a in Counter(city_names).keys():\n",
    "    count_dict[a] = Counter(city_names)[a]\n",
    "\n",
    "#sorting dictionary into ascending order\n",
    "count_dict = dict(sorted(count_dict.items(), key=lambda item: item[1]))\n",
    "\n",
    "#Building the bar chart\n",
    "fig,ax = plt.subplots(figsize=(21,12))\n",
    "\n",
    "x_labels = [a for a in count_dict.keys()]\n",
    "x = list(range(1,len(x_labels)+1))\n",
    "y = [a for a in count_dict.values()]\n",
    "\n",
    "ax.bar(x,y,color='rebeccapurple',width=0.5)\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(x_labels,fontsize='12')\n",
    "ax.set_title(\"Cities with zipcodes fitting our Client's budget\",fontsize='30')\n",
    "ax.set_ylabel(\"Number of Zipcodes\",fontsize='20')\n",
    "ax.set_xlabel(\"Cities in Miami-Dade County\",fontsize='20');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This chart above gives us useful information about what areas are available for our client under their budget constraints."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the Price history of filtered Zip Codes since 1996"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Visualization below is only for zipcodes that we have filtered under our price limit. Naturally, as a result of this filter we expect all these zipcodes' lates price values to be below $300000."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "zip_dict = {}\n",
    "\n",
    "for zipcode in miami_budget_zips:\n",
    "    zip_dict[zipcode] = th.melt_data(miami_budget[miami_budget['RegionName']==zipcode])\n",
    "\n",
    "fig,ax = plt.subplots(figsize=(20,12))\n",
    "\n",
    "for zipcode in zip_dict:\n",
    "    ax.plot(zip_dict[zipcode],)\n",
    "\n",
    "ax.axhline(y=300000,label = 'Client Budget')   \n",
    "\n",
    "ax.set_title('ZipCode Price Changes since 1996',fontsize=30)\n",
    "ax.set_ylabel('Price in US $',fontsize=20)\n",
    "ax.set_xlabel('Year',fontsize=20)\n",
    "ax.legend(prop={'size': 25});"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prices seem to have peaked before the 2008 recession, only to see a dramatic fall immediately after. Since then, prices have been steadily on the rise since 2011 but have yet to reach their pre-recession peaks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the The Zip Codes' Average Price Growth since 2011"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We saw above that prices have started to pick up after the recession; but we want to see more clearly which zipcode areas have been growing the fastest since. Below we can look at a graph that shows us the zipcodes by order of highest growth."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "miami_2011_roi = miami_budget\n",
    "miami_2011_roi['roi_since11'] = None\n",
    "miami_2011_roi['roi_since11'] = miami_2011_roi['2018-04'].apply(lambda x : ((x-miami_2011_roi['2011-01'])/(miami_2011_roi['2011-01'])))\n",
    "miami_2011_roi = miami_2011_roi.sort_values('roi_since11',ascending=False)\n",
    "\n",
    "\n",
    "fig,ax=plt.subplots(figsize=(18,12))\n",
    "\n",
    "x_labels = [str(a) for a in miami_2011_roi['RegionName']]\n",
    "x = list(range(1,17))\n",
    "y = [a for a in miami_2011_roi['roi_since11']]\n",
    "\n",
    "ax.bar(x,y)\n",
    "\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(x_labels)\n",
    "ax.set_yticks([a/10 for a in list(range(0,17,1))])\n",
    "ax.set_yticklabels([str(a*10)+'%' for a in list(range(0,17,1))])\n",
    "ax.set_ylabel('% Growth',fontsize='20')\n",
    "ax.set_xlabel('Zipcodes',fontsize='20')\n",
    "ax.set_title('Avg % Return on Investment',fontsize='30');\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see from the above visual that the highest growing zip code since 2011 is 33126.\n",
    "\n",
    "## Selecting a ZipCode to build our Time Series model on"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to build a Time Series model to predict the future ROI for each zip code in Miami-Dade County that would fit our client's budget. But first, we will select one specific zipcode to build our time series model on. For this purpose, we decided to use the highest growing zipcode since 2011.\n",
    "\n",
    "Therefore, we will run our first Time Series model on the ZipCode- 33126 to predict what its future value will be. Then we can implement a similar workflow on other zipcodes in the County to identify which 5 zipcodes have the highest predicted ROI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dataframe containining historical prices of the 33126 Zip Code.\n",
    "\n",
    "zip33126 = df[df['RegionName']==33126]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Time Series dataframe of 33126 Zip Code prices\n",
    "\n",
    "series33126 = th.melt_data(zip33126)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "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>value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1996-04-01</th>\n",
       "      <td>108600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-05-01</th>\n",
       "      <td>108800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-06-01</th>\n",
       "      <td>109100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-07-01</th>\n",
       "      <td>109400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996-08-01</th>\n",
       "      <td>109700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-01</th>\n",
       "      <td>294300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>295700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>296900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>298200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-01</th>\n",
       "      <td>298800.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>265 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               value\n",
       "time                \n",
       "1996-04-01  108600.0\n",
       "1996-05-01  108800.0\n",
       "1996-06-01  109100.0\n",
       "1996-07-01  109400.0\n",
       "1996-08-01  109700.0\n",
       "...              ...\n",
       "2017-12-01  294300.0\n",
       "2018-01-01  295700.0\n",
       "2018-02-01  296900.0\n",
       "2018-03-01  298200.0\n",
       "2018-04-01  298800.0\n",
       "\n",
       "[265 rows x 1 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Observing our Time Series dataframe\n",
    "\n",
    "series33126"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have taken a look at the price history of various zipcodes earlier. Let's now look at the overall average price history of our selected zip-code individually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing our Time Series Data for zipcode- 33126\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(20,12))\n",
    "ax.plot(series33126)\n",
    "\n",
    "ax.set_xlabel('Year', fontsize=30)\n",
    "ax.set_ylabel('Price in 100,000($)',fontsize=20)\n",
    "ax.set_title('Zip Code 33126 Price History',fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trend we see above is not greatly dissimilar to all the other zip codes we saw earlier during our earlier data exploration."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Relevance of Recent Data\n",
    "\n",
    "We find that market conditions before the 2010s do not necessarily reflect the state of today's market. Therefore we chose to concentrate on modeling our Time Series only based on information from 2011."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "recent_series = series33126['2011':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualizing our Time Series Data for zipcode- 33126 from 2011\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(20,12))\n",
    "ax.plot(recent_series)\n",
    "\n",
    "ax.set_xlabel('Year', fontsize=20)\n",
    "ax.set_ylabel('Price in 100,000($)',fontsize=20)\n",
    "ax.set_title('Zip Code 33126- Price since 2011',fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now see a positive trend that displays a somewhat linear growth rate in average price."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Training and Testing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because our model of choice performs the preprocessing step of trend/seasonality removal by itself, we will simply input the raw series into our model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Splitting our data into Train and Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Splitting the last 24 months of our series as a test dataset.\n",
    "train_series = recent_series[:'2016-04']\n",
    "test_series = recent_series['2016-05':]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fitting an AUTO-ARIMA Model on our Training Series\n",
    "\n",
    "We find that finding the optimal p,d & q values and then fitting an ARIMA model can be a time consuming approach especially if we want to iterate this process over multiple zip codes. The benefit of using an AUTO-ARIMA model over an ARIMA model is that it helps eliminate the additional step of finding the optimal combination of p,d & q values and thereby it runs faster than an ARIMA model. The AUTO-ARIMA model performs this step for us and plugs in the p,d & q value combination that returns the lowest AIC score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1728.368, Time=0.04 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1687.033, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.17 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1680.709, Time=0.05 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.30 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1681.812, Time=0.06 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1035.278, Time=0.34 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.48 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=inf, Time=0.36 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1684.647, Time=0.07 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.41 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.72 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.55 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,3)(0,0,0)[0]          \n",
      "Total fit time: 3.665 seconds\n",
      "                               SARIMAX Results                                \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                   64\n",
      "Model:               SARIMAX(1, 0, 3)   Log Likelihood                -512.639\n",
      "Date:                Fri, 27 Aug 2021   AIC                           1035.278\n",
      "Time:                        10:28:47   BIC                           1046.072\n",
      "Sample:                             0   HQIC                          1039.530\n",
      "                                 - 64                                         \n",
      "Covariance Type:                  opg                                         \n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "ar.L1          0.9998      0.001   1531.345      0.000       0.999       1.001\n",
      "ma.L1          1.8374      0.117     15.645      0.000       1.607       2.068\n",
      "ma.L2          1.5944      0.179      8.918      0.000       1.244       1.945\n",
      "ma.L3          0.5509      0.123      4.486      0.000       0.310       0.792\n",
      "sigma2       4.13e+05   2.27e-07   1.82e+12      0.000    4.13e+05    4.13e+05\n",
      "===================================================================================\n",
      "Ljung-Box (L1) (Q):                   1.76   Jarque-Bera (JB):                 2.12\n",
      "Prob(Q):                              0.18   Prob(JB):                         0.35\n",
      "Heteroskedasticity (H):               2.31   Skew:                             0.42\n",
      "Prob(H) (two-sided):                  0.06   Kurtosis:                         2.68\n",
      "===================================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n",
      "[2] Covariance matrix is singular or near-singular, with condition number 5.77e+27. Standard errors may be unstable.\n"
     ]
    }
   ],
   "source": [
    "# In order for this cell to run, you may need to install pmdarima if you haven't already.\n",
    "import pmdarima as pm\n",
    "\n",
    "auto_model = pm.auto_arima(train_series, start_p=0, start_q=0,\n",
    "                     test='adf',\n",
    "                     max_p=5, max_q=5,\n",
    "                     m=1,\n",
    "                     d=0,\n",
    "                     seasonal = True,\n",
    "                     start_P=0,start_Q=0,\n",
    "                     D=0,\n",
    "                     trace=True,\n",
    "                     error_action= 'ignore',\n",
    "                     suppress_warnings=True,\n",
    "                     stepwise=True,with_intercept=False)\n",
    "\n",
    "\n",
    "\n",
    "print(auto_model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 0, 3)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Identifying the order values for our model\n",
    "auto_model.order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 0, 0, 0)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Identifying the Seasonal Order values for our model\n",
    "auto_model.seasonal_order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "ar.L1          1.0102      0.002    461.500      0.000       1.006       1.015\n",
      "ma.L1          1.5669      0.173      9.055      0.000       1.228       1.906\n",
      "ma.L2          1.1230      0.252      4.453      0.000       0.629       1.617\n",
      "ma.L3          0.2647      0.172      1.539      0.124      -0.072       0.602\n",
      "sigma2      3.637e+05    1.4e-07   2.59e+12      0.000    3.64e+05    3.64e+05\n",
      "==============================================================================\n"
     ]
    },
    {
     "data": {
      "image/png": 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hzGfL32CCNK9iOiFkGw2oS585/4T5zP07zGfhg9RfMcd2FbwdUw7xAEY0+PdVm2Ux1yHfwLgmng58Z1U2RuU+s5jrkq9jrtEexSyqPB8jAoAJwfw3mI4f92M6crzeHg/UuI7z8uC94OUard7rRWv9h5guJt+FOddfw4SUXq24+89iurv9ob3NCEY0ajQmr9dhDa/nPOL3GqyEEbDSmOvMf67a5EOYhaEP+RiDsA9Q5nUpCIIgCIIgCMJ+wC6ZeBj4lNb6vd0ej4NS6veBk1prNzemIASGUupfYcSsE1rrXLfHIwRHpNsDEARBEARBEAShPnY5xRHMivIgxik4hSk1FIRDiVJqANMB5aeA94tQcfCQMhBBEARBEARB6G3CwH/AlDV+HhMe+a1a6/u7OipB6C7vx5S5nAd+rctjEdqAlIEIgiAIgiAIgiAIgtBTiLNCEARBEARBEARBEISe4jBkVoh1RBAEQRBqo7o9gEOCXIsIgiAIQn1qXo8cBrGCa9eudXsIPUsqlWJhYcF9w0OMnKPGyPlpjJwfd+QcNaZd5+f48eOB71Ooz0G8Fjks/7vyOA8eh+WxyuM8WBzUx9noekTKQARBEARBEARBEARB6ClErBAEQRAEQRAEQRAEoacQsUIQBEEQBEEQBEEQhJ7iUGRWCIIgCIIgCIIgCEKn0VqTzWYplUoo1Xyu9ezsLLlcLsCRdQ6tNaFQiEQi4esciFghCIIgCIIgCIIgCG0gm80SjUaJRFqbekciEcLhcECj6jyWZZHNZkkmk57vI2UggiAIgiAIgiAIgtAGSqVSy0LFQSASiVAqlXzdR8QKQRAEQRAEQRAEQWgDrZR+HDT8ngsRKwRBEARBEARBEARB6CnEjyIIgiAIgiAIgiAIB5Qbb7yRxx57DIDPfe5z/Mf/+B/JZDJ87GMf40/+5E8YGxtja2uLc+fO8dM//dPcdNNNALzhDW9gdnaWRCIBwNTUFB/+8Ic7Nm4RKwRBEARBEARBEAThgPOlL32Jn//5n+dP/uRPOHHiBABvf/vbede73gXAX/7lX5JOp/nc5z7H+Pg4AO9///t5xjOe0ZXxShmIIAiCIAiCIAiCIBxgvvrVr/LTP/3TfPSjH2VqaqrmNq997Wt56Utfyh133NHZwdVBnBWCIAiCIAiCIAiC0GY+8vVZLixnm7qvUgqt9Z6/nx1N8CPPnWx433w+zw//8A/ziU98ghtuuKHhtrfffjuPP/54+fd3v/vd5TKQl770pfz8z/98E6NvDhErBEEQBEEQBEEQBOGAEolEeM5znsPHPvYxfvEXf7HhttWCSDfLQESsEARBEARBEARBEIQ24+aAaEQkEsGyrKbuGwqF+O3f/m3e9KY38Zu/+Zv8+I//eN1tH3jgga6JE9VIZoUgCIIgCIIgCIIgHGCSySR/8Ad/wB133MGf/umf1tzmr//6r/niF7/I93zP93R2cHUQZ4UgCIIgCIIgCIIgHHBGR0f5oz/6I17/+tczNjYGwIc//GH+/M//nK2tLW655RYymUy5EwjszqwYGxvj4x//eMfGK2KFIAiCIAiCIAiCIBxQHnvssfLPJ06c4B//8R8BeOUrX8l73/veuvf7sz/7s7aPrRE9IVak0+lTwEeBo0AJ+FAmk3lf1TYvA/4SuGD/6S8ymUzjdBBBEARB8IEu5CGfR/UPdHsogiAIgiAIh5qeECsAC3hvJpO5O51ODwLfSKfTf5fJZB6q2u5LmUzmu7swPkEQBOEQoP/qT9H3fZ3wf/7f3R6KIAiCIAjCoaYnxIpMJjMNTNs/r6fT6fPACaBarBAEQRCE9rGyDMsL3R6FIAiCEDDFt7+m/PNsQPsMf/hTAe1ph8pxtkrl42zHWAWh3fSEWFFJOp2eAp4FfLXGzS9Kp9P3AteAn8pkMg/W2cc7gHcAZDIZUqlUm0a7/4lEInJ+XJBz1Bg5P42R8+NOL52j1UiYbD7fM+OB3jo/giAIgiAInaKnxIp0Oj0A/DnwE5lMZq3q5ruBM5lMZiOdTr8a+CRwY639ZDKZDwEfsn/VCwuySlaPVCqFnJ/GyDlqjJyfxsj5caeXzlFxcxOsAvOzs6hwuNvDAdp3fo4fPx74PgVBEARBEIIi1O0BOKTT6ShGqPjjTCbzF9W3ZzKZtUwms2H//Gkgmk6nZalJEARBCI6iZb4Xct0dhyAIgiAIwiGnJ8SKdDqtgN8Bzmcymf9RZ5uj9nak0+nnY8a+2LlRCoIgCAceR6zIi1ghCIIgCILQTXpCrABeAvwg8PJ0On2P/fXqdDr9rnQ6/S57mzcAD9iZFb8JvDmTyehuDVgQBEE4gFi2WJETsUIQBEEQhIPBiRMn+IVf+IXy7x/84Af5jd/4jfLvH/7wh/nEJz4BwPLyMm9+85t5yUtewpvf/GZWVlZq7vMtb3kL586d461vfeuuv//oj/4oTz75ZCDj7onMikwm82VAuWzzfuD9nRmRIAiCcChxxIp8vrvjEARBEARBCIh4PM7f/M3f8J73vIexsbFdt1mWxcc//nH+9m//FoAPfOADfNM3fRPvfve7ef/7388HPvABfu7nfm7PPt/1rnexvb3NH/3RH+36+1vf+lZ+67d+i1//9V9vedw9IVYIgiAIQk9QLgPJdnccgiAIgiAcOB64e4u1lWJT91VKofXewoKhkTC3Pbuv4X3D4TBvectb+NCHPsTP/uzP7rrtK1/5CrfddhuRiJEGPvOZz/Bnf/ZnALzxjW/kDW94Q02x4pu/+Zu588479/z9BS94AT/5kz+JZVnlfTZLr5SBCIIgCEL3kcwKQRAEQRAOIG9729u44447WFvb3XTza1/7Gk9/+tPLvy8sLDA5OQnA5OQki4v+YiJDoRBTU1M89NBDLY9ZnBWCIAiC4GCJWCEIgiAIQntwc0A0IhKJYDnXKU0wODjIG97wBn7nd36HZDJZ/vvc3Bw33nhj0/utRSqVYmZmZpcI0gzirBAEQRAEBxErBEEQBEE4oPzIj/wIH/vYx9ja2ir/LZFIkM3ulL+mUilmZ2cBmJ2dZXx83PdxcrkciUSi5fGKWCEIgiAIDnYZiJZuIIIgCIIgHDBGR0f5F//iX/Cnf/qn5b/dcMMNXLx4sfz7d3zHd5Q7g3ziE5/gla98JQDT09Ok02lPx3nyySe5+eabWx6viBWCIAiC4CCZFYIgCIIgHGDe+c53srS0VP795S9/OV/96lfLv//Yj/0YX/ziF3nJS17CF7/4RX7sx34MMOUilYGZ3/u938s73/lOvvKVr/Cc5zyHL3zhCwDMz8+TSCTKuRetIJkVgtAG9JULoEGdOtvtoQiC4AcpAxEEQRAE4YDx2GOPlX+emJjgiSeeKP9+8uRJRkdHefLJJ7nuuusYGxsjk8ns2cfdd9/N2972tvLvd9xxR81j3XHHHfzAD/xAIOMWsUIQ2kAp87tQKhH+qV/p9lAEQfCDOCsEQRAEQThk/Lt/9++Ym5vjuuuuq7vND/3QD3na1/DwMK9//esDGZeIFYLQDnJZqNEHWRCEHqfsrMg23k4QBEEQBOGAcMMNN3DDDTcEsq83velNgewHRKwQhPbQQlshQRC6SNlZke/uOARBEARBEA45IlYIQjsoilghCPsNXSpCqWR+kTIQQRAEQRCEriLdQAShHViWCBZCT6IvPoaWiXhtisWdn6V1qSAIgiAIQlcRZ4UgtAMRKoQeRG9vUfqv/xb1lh9FvfSV3R5O71FRviWCjiAIgiAI7aD49tc0d786fw9/+FOu973xxht3dQT5+Mc/zn333cev/Mqv8NGPfpRkMskb3/jGmve98847iUajPO95z2tm2C0hYoUgtAPJrBB6key2KXPY3Oj2SHqTSpFRxApBEARBEA4Bb33rWxveftddd9Hf398VsULKQAShHRSlDEToQayC+V6Q8MiaWCJWCIIgCIJwuPiN3/gNPvjBDwLwO7/zO7zsZS/j27/92/nRH/1RLl++zB/+4R/y4Q9/mFe84hV89atf7ejYxFkhCO3AskB1exCCUIWIFY3Z5ayQ1qWCIAiCIBwMstksr3jFK8q/r6ys8B3f8R17tvvABz7AXXfdRTweZ3V1leHhYX7wB3+Q/v5+3vWud3VyyICIFYLQHooFUGJcEnqMgogVDRFnhSAIgiAIB5BEIsHf/d3flX93MiuqOXfuHO9+97t51atexate9apODrEmMpsShHZgWZJbIfQeZWdFobvj6FUcZ0U8IWKFIAiCIAiHjo9+9KO87W1v47777uNVr3oVVpfnM+KsEISA0aWiCTGkhNYapaQeROgRys4KmYjXxPlA7hsQsUIQBEEQhENFqVTi2rVrvOQlL+H5z38+n/zkJ9nc3KS/v5+Nje6Es4tYIQhBUyzu/jki/2ZCjyDOisY4zopkH2yudXcsgiAIgiAcSLy0Gq1FJBJpq9OhWCzynve8h/X1dbTWvP3tb2d4eJhXvOIVvPOd7+Qzn/kMv/zLv8wLXvCCto2hGplFCULQVL6JFC0RKw44pTs/h/7qFwn/5C90eyju2GKFlsyK2pSdFf2Qz6NLJVRIqiUFQRAEQdjfPPbYY7t+f9Ob3sSb3vQmAN773veW//7JT35yz32vv/56PvvZz7Z1fPWQqzBBCJpqsUI42Fx6Ah65v9uj8IZ0A2mMc36S/ea7OFAEQRAEQRC6hogVghA0xYoJjoRsHnwsC4oWeh8811q6gTTGLuFSfbZYIe1LBUEQBEEQuoaIFYIQNJWT1n0wgRVapLiPBADJrGhMObPCESskZFMQBEEQhNbQWnd7CD2D33MhYoUgBM2ugE0RKw48zvO9Hya2UgbSmMrMCtgfz6kgCIIgCD1NKBTqegvQXsCyLEI+s8Ak+U8QgkYyKw4XzvMd8MRWP/4QJJKok2eD26mIFQ3RzvkRsUIQBEEQhIBIJBJks1lyuRxKqab3E4/HyeX257WJ1ppQKEQikfB1PxErBCFoKjMrKl0WwoFEt0msKP3xB2H8COF3/4fgdlqQMpCGOP+vfQPm+z69IBAEQRAEoXdQSpFMJlveTyqVYmFhIYAR7R+kDEQQgkYyKw4XxfaIFWxuwPZWsPuUgM3G2M+lSvaZ38VZIQiCIAiC0DVErBCEoNklVsgK9oHHeY6DnthmtyAXcDcKKQNpjGRWCIIgCIIg9AwiVghC0FTmVEgZyMGnDc4KXSpBdtt8BYmIFY1xSriSpgxEi1ghCIIgCILQNUSsEISgkYDNw0W5G0iAAkAuC1pDrk1iRamEFiFtL+XMCsdZEbCzRRAEQRAEQfCMiBWCEDS7AjZFrDjw2OJUoKvwTlZF4M6KitdjQVwDe3DOj2RWCIIgCIIgdB0RKwQhaCRg83DRjswKR6zIZdFaB7ffyi4g0hFkL2WxwnZWSDcQQRAEQRCEriFihSAEjLYks+JQ0Y5uIFlbrNA62P1WBr5KbsVeigWIRMxXKBRsaY8gCIIgCILgCxErBCFoKko/tHQDOfhYbRArtjd3fg4wt0JXChTirNhLsQjhKEopiMWlDEQQBEEQBKGLiFghCEFTlIDNQ0UbxAq9XSFQBJlbsctZIRPxPViWcVWAiBWCIAiCIAhdRsQKQQgaKQM5XLSzDAQgG2BHil0Bm+Ks2INlQThsfhaxQhAEQRAEoauIWCEIQSMBm4eLdogVlWUgQTsrlP22L5kVe3EyKwBicbS0LhUEQRAEQegaIlYIQtBIGcjhoi2ZFRUCRS7ACXOhAH12pwsJj9xLsQhhKQMRBEEQBEHoBUSsEISgsUSsOFTYz7Fuk7NCB+2sSPbZP4tYsQfLgkjU/CxihSAIgiAIQlcRsUIQgkbKQA4NulTaySUJOrNCKfNzgN1AKsUKLZkVe9CVmRXxBORErBAEQRAEQegWIlYIQtAUCzurs+KsONhUBqgG2g1kC4ZGzS9BloFYBegbMD9LGcheilZFGUhMnBWCIAiCIAhdRMQKQQgay4Jo1Ex6xFlxsKkUo4Jchd/egpEx83OQZSCFijIQCdjcS3GndamSMhBBEARBEISuImKFIASNszobDkvr0oNOpVgRaGbFFgwOmddRwGUgSjIr6iOZFYIgCIIgCD2DiBWCEDSWvTobiUgZyEGn0jkTpFMhu4VK9kMiGbyzQspA6lOsyKyIxeUcCYIgCIIgdBERKwQhaCzHWRExGQHCwcURK8Lh4FuXJpIm5DEbTGaF1np3NxAJ2NyLZVW1Ls2a8yYIgiAIgiB0nEi3BwCQTqdPAR8FjgIl4EOZTOZ9Vdso4H3Aq4Et4G2ZTObuTo9VEFwp2lbyYlHKQA46RXvCn+wPWKzYNKJCIokOqgzEcflEouZLMiv2UpFZQSwOjsATjXV3XIIgCELXKaEIIQK2IHSSXnFWWMB7M5nMOeCFwI+l0+lbq7b5TuBG++sdwG91doiC4A1drCgD8RmwqYtFSl/8DLokIse+wHl++4xYEcQqvC4WjfCR7AvUWVF2+USjZvItrp+9WBaqMrMCJLdCEAThEFNCcd/IDfzPc9/H9730l3nnC3+W/3XuzXzm+At5qm+SkrjvBKGt9ISzIpPJTAPT9s/r6XT6PHACeKhis9cCH81kMhr4x3Q6PZJOp4/Z9xWE3qGyDMRvZsXjD6H/8AOooyfgptvaMz4hOBznTLIfSqUdV00rZLfM94RxVgQWsFmocFZEozIJr0VlZkU8Yb7nctA/2L0xCYIgCB1nIT7M3x99Lp8/+lxmk+MMFLZ42cw32IwkuW/kBr44+WwABv/sMW6Z6OPWiSS3Hunj+rEE0bDq8ugF4eDQE2JFJel0egp4FvDVqptOAJcrfr9i/22PWJFOp9+BcV+QyWRIpVJtGetBIBKJyPlxwe85Wg4pdCKBRhMOhxnxcd/cpTgrwFAyQXyfPC+H+TVUWJ5jCYiNjJK/BOODA4SqJrZ+z0+xVGABGDwySW5omOLMVcYDOL9FpVkABkZG2UwkiYVDDPfI89Yrr6H5UolY/wDDqRTb4ynWgNH+PiJdHluvnB9BEISDTEGF+fr4OT537PncM3YTJRXi6cuP8f0XPsMLFh4gVjKivwZmE2OcHz7L+e9+B+fnt/na1Q0AYmHF04708c1nBnnBqUEGYuEuPiJB2P/0lFiRTqcHgD8HfiKTyaxV3VxLpqzpvcpkMh8CPuRss7CwENwgDxipVAo5P43xe46K2zsr4dbWpq/76qUlANYWF1H75Hk5zK8hvWged952UyxOX0ONjO/axu/50VevALBhFdEqjN5YD+T86rkZs99sDh0Kk1sPZr9B0CuvoVI+R86yWFhYQOdMpsfy7Awq3tfVcbXr/Bw/fjzwfQqCIOw3NsMJPjH1bXxh8jmsxQYYy63wukt/z8tnvs7R7NKe7RVwNLvE0ewS3/7CYwCsZC3Oz2/z4NwWX7uywW/+4wyRf5rl2cf7+eYzQzzvxADJaK9U3wvC/qFnxIp0Oh3FCBV/nMlk/qLGJleAUxW/nwSudWJsguALq2Dq3ZsoA9FOjoDkCewP7MwKlew3ymkQpRXbdhlIsh8SCci1I7MiipaAzb0UiztlPJJZIQiCcCj48E3fw5ePPIPnLzzEt01/jWcuPULYZ5DmSCLCi04N8qJTg/zLZx/h8aUsX7q4xpcvrfNPVzaIhRXPOzHAN08N8Zzj/cTCIlwIghd6QqywO338DnA+k8n8jzqbfQp4dzqd/hjwAmBV8iqEnsSyzEQz7D9g09leW1ZNK5HQYzjPr9MONIiJbWVmRTwJ2YAyK2yxQkWi6FhcuoHUojKzoixWBCQWCfuGdDr9Kkz3sTDwkUwm86t1tnse8I/AmzKZzJ91cIiCIASEkz/xxouf5fsu/r9A9qmU4sbxJDeOJ3nbs49wfn6bL11c487L63zlqXWSkRAvPj3I6542xsmheCDHFISDSk+IFcBLgB8E7k+n0/fYf/v3wGmATCbzQeDTmLalj2Nal/5Q54cpCB5ooRsI4qzYXzjOmb5+8z3Xulihy86KPuOssApGvIq0+HZdsF9T5dal8hrbgxOOC+KsOKSk0+kw8AHgFRhH59fS6fSnMpnMQzW2+zXgM50fpSAIQZAPRfjtm76Xo9sLvO6pv2/LMULKZFg87Ugfb3/uJPfPbvGlS2t8+dIan7+wyrdMDfGm21McG5QW2YJQi54QKzKZzJepnUlRuY0GfqwzIxKEFrAsVDiCjkT8W/gdccOvyCF0B0esSA6Y74GWgdjdQMC8jiIDre3XeU05rUuzq63t74Chtd4RGqEsVuhcTlxOh4vnA49nMpknAWw352vZ3Z0M4D2Y0tXndXZ4giAExSdPvYzpvgl+/t6PEC+1/7orHFI881g/zzzWzw8+c4I7Hlri048u8w8X1/i264ZJ35biyECLHcUE4YDRE2KFIBwonAmPFfHvkCiKs2I/oa0qZ0U+gNKK7aoyEDDtS/tbFSsqnBWxmJSBVOO0oXWcFXFxVhxSanUee0HlBul0+gTwvcDLaSBWHIbOZIelU408zoPBbMXP15Ip/vzMt/KSuXt41vKjTe+z2fOVAv7tyaP80Evy/OHXLvOXD8zw+QtrvOa2o3xnbIjxfHWfgdY5yM/tQX/tOhyWx1mJiBWCEDSWLVaEIzsTIK8UHGeFiBX7Aidgs88EbOp8AKvw2S2TmxCLQTxh/y2A3IqKgE0ViUnAZjWOSyZSXQYi5+mQ4aXz2P8CfiaTyRTT6XTdHR2GzmS90smn3cjj3L9YlmZjzVyLlQanAPMP/cc3fg9HdIg3ztzL6uAUscI6yeyi7/0Hcb5+8LZhXnW2j088sMhf3j/NX73wZ3jl1X/key9/ntH8Rsv7dzhoz20lB/G1W4uD+jgbdScTsUIQgsYqQDiKCud3Vt69UnZWSBnIvqBcBhJgwOb2JiT6UEpBImlmSUF0BKl0VkSj4qyoxvmfk8yKw46XzmPPBT5mCxUp4NXpdNrKZDKf7MgIBUHwxNZmibs+v8HWZsn84QW/WL7tafbXA8/+GfMHXeL287/HqWv/0PFxAkz0R/lXLzjK6582xsc++HE+ffLF/N3xF/Deh/6Y5y6e78qYBKEXELFCEIKmWNwJ2PTZunQns0KcFfuC6jKQQhBixfaO+OGUgQTgrCg7KcplIPIa24UjFDrOiqgddiZixWHja8CN6XT6LHAVeDPw/ZUbZDKZs87P6XT694H/K0KFIPQWmxtF7vr8BlYBnvWCPiJRRen9v0Q2HONDN72OwfwG/98Tf03INk49dfLbuP/Wf0kpFOHMlc91bdyTAzHe/cgneN1Tn+c3bn0L/+vcm/lv3/jfHN8+eKvpguAFafIrCEFT7gYSbUKsEGfFvsKZ4AYYsKltZwVQEbAZQBlIZTeQqGRW7MHanVmhlDLuChErDhWZTMYC3o3p8nHe/CnzYDqdflc6nX5Xd0cnCIIXNtaL3Pn3G1gWvPBl/ZycinH0RJTJhXv4zNBxHgnBGx/8PY4t/DOTC/cwuXAPz773fRyZv5sHb/n/uHDqld1+CBzfXuBnHvgDwrrEr932VrbD0i1EOJyIs0IQgsZpfxgON9G6VJwV+wonkyTIMpDsNvQ5zgqTWaGz2dazMMrdQCIQMc4KrbWZlAs7wmK44mMxFod8ACU4wr4ik8l8GtMuvfJvH6yz7ds6MSZBELyxvmYcFVrDi791gKGRcPm2xwZP8ZnjL+TVV+/k+o2ru+4X1hbPvu9/c89tP8r5m99CKRTm+kufrt59RzmSW+HfPPTH/NLTf4QP3PxG3vvQH0t3KuHQIc4KQQiQXe0PmwnYLIpYsa9wBIBY3DznQbUurXZWBBmw6ZSB6JJ/589BxnkuI1ViRU6cFYIgCPuBtRXjqIC9QkWxpPngTa9jJL/B9134TM37h3SRZz7wfzg2cxeP3PhmHj/7mo6MuxHPWH6c73/yb7nzyDP41MmXdns4gtBxRKwQhCCpXJ0NR3bKBLxSkDKQfUU5lDFsr8IH0bp0E1UWK+xuIEEGbEZjJmATJLeiEvt/VVWLFVIGIgiC0POsLlvc+fkNQiEjVAwOh3fd/ulHl7kweIJ/+fhf0les/74e0iWe+cAHOTH9ZR69/g08et3r9rQD6jTfe/kLvHD+Pv7w+u/k/pHruzwaQegsIlYIQpBUrs5GxFlx4CkWIBwJNt+gsgwkFmDrUkeYCEd2wiMlt2IH5381HN35WzyBFrFCEAShp1lZsrjrC5tEIvDilw8wMLRbqFjcKvBH9y7wrMWHedH8/a77U2ie/uCHOXn1Czx+3ffwyA3prgoWCnjPw5/g2NYCv3HrW1iID3dxNILQWUSsEIQg2eOsKKJLJe/3F2fF/sKydsoGgioZqAjYVKGQya0IImDTsoWVUMiUgoCIFZVUumQcYjFxVgiCIPQwSwsWd31hg2hU8eKXD9A/EN6zzUe+MUdJa97+2Cc9Zz4oNLef/z1OX/4cT059N+dv+v6uChbJYo6fefCjFEIRfv1pP0hB7X2cgnAQEbFCEIKk0lnhTHp8uCu0LXZocVbsD5wwVYBYvOVVeF0omH06gZ1gciuCyqxwRIpY3HwXsWKHepkVIlYIgiD0JIvzFv/4DxvE4yFe/PIB+vr3TuC/fnWDO59a5423jXM0u+Rr/wrN0x75A6ae+gwXT7+KB29+K7qLEZcnt+Z5z8Mf57Gh03zkxtd2bRyC0ElErBCEILEqnBXOxNBPiKF0A9lfFIs7k9toAKvw25vme6VYEU8Ek1lRKJhOIICSzIq9OPkyIlYIgiD0PNntEl/94gbJpBEqkn21pzQfv3+B44NRvvfcWFPHUcC5R/+Y6y7+NU+d+nYunO5uW9MXLjzI6y79PX93/IX83bHnd3UsgtAJRKwQhCApVnRcKDsr/IgVUgayrygWdpeBtDqxzW6Z71XOCh20s8LJrJCJ+A41MiuUiBWCIAg9yaMPZikV4fnf3E8iWXs6M79Z4NHFLN923QjRcPNTHgXc/PjHSS3cxxNnX0Mh0ud6n3byfRc+wzOWHuXDN34Pjw2e7OpYBKHdiFghCEFSHbAJ4qw4yFSVgbTurDBiRbkbCATnrKglVsjrbIeamRUiVgiCIPQam+tFnnoyz5nrY/QP1s9uuOvyOgAvOj3Y8jEVcPMTn6AQHeDJM69ueX+tEEbzk+f/hNH8Gr/+tB9kNdrf1fEIQjsRsUIQgsRenVVOwCb4c0mIs2J/USFWBLIKv+04KyouPBJ9wXUDqRYrJLOijJbMCkEQhH3Bww9kCYXgxlsTDbe786l1pkbinBiKBXLc4fVLHJu5i4unX0k21t2OHEOFLX76gT9kLTog+RXCgUbECkEIkl0Bm46zwkf7UnFW7Ct00WpTGUiy/CcVUDcQbRXAyapwvudFrChTK7MinhCxQhAEoYdYXba49lSB626O1y3/ANOu9Pz8Ni8OwFVRyU1P/DklFebxs90XCK7fuMorr93FV1O3sRbtbmmKILSLiPsmgiB4pnLCE2nCWeGUjIizYn9QWQYSj7fsVNBbtliRaHM3kKjpBqIL+S7mmvcYNTIriMVN+2HLQkXk41IQBKETFN/+mrq3PfTMnyI6dB1TH3gnxWL9z8Y7T7wYbvweXviRn6W4NRfY2Pq35zh19R+4fOJlnH3qbxkKbM/N8a0zX+evTr2ULx15Jt919c6G2zY6r80S/vCnAt+nIFQizgpBCJJy3XvUlILAjoDh6f6F3d+F3qZtzoqKMpDAMiusvc4KeZ3tUK8MBMRdIQiC0AMsjp5jIfV0rr/4V0QbCBUAd03czqnNGU4GKFQ43HDhk4R0kUevf33g+/bL1OYM161f4fNHn9vtoQhCWxCxQhCCpGbAZjNlIOKs2BcUrR23gi1WaK2b39/23jIQ46zItrZfqB2wKZkVO9QL2AQRKwRBELqMBh654Y0ksoucufLZhtuuRAc4P3yWF83f35axJPKrTD31GaaPvojV5e5fr33rzNd5cvAkF/uPdnsoghA4IlYIQpAUKyY8rQRs+nFjCN2juhuI1q25Fba3IBpDRSpKEeJJ0KXW8yUK+RqtS0WsKFMrs0LECkEQhJ5gduI5rAzfwI1P3kG41Phz9qupp1FSobaJFQDXXfo00cIG5+8LwPnYIt88dw+RkiXuCuFAImKFIATJroBNe4W2mdalhe4r9YIHLGvneQ5iYru9ZZwUlTi/57aa3y9INxA3amRWqPJz2v2LUUEQhMNKSYV49Po30L95jRPTX3bd/q6J2zm+Nc/pzZm2jSlqbXH9hb9ifsZiYa67C0xDhS2eu/gQ/zD5bCwlUzvhYCGvaEEIEO2sqoejOxNDXwGbklmxr6jOrADItSBWZLd251WAyawAyLY4YbYKO46NcvirvM7KNCoDaeU5FQRBEFri6tGXsDFwgpsf/zNCutRw27VoHw+MXs+L5u9re4D0mSufJZFUPHxfAKWaLfLymW+wFhvg7rFbujoOQQgaESsEIUiKLTorHEdF0er6B5/gAcvaEQACcFbo7S1I7m4/phK2WNFqyKZlQdSIFEop466QMpAdLAtCIVSo4mMxLmUggiAI3aQYivLY9a9jePUJJue/7rr9P40/jZIKt7UExCFcKnDzbQmWF4vMXO2u+P+spUcYya/z91IKIhwwRKwQhCApr85WBmx6Eyt0qWiyCRyLvoRs9j7FncwK1e4ykFbbl1qFndcWmJ+lDGSHYmF3XgVUCFByngRBELrBpZPfRjYxzs2PZzw5Je6auJ3J7UXOblxr+9gATk7F6B8M8fD9WXSpe4tMYV3iW2bu5hvj51iN9rvfQRD2CSJWCEKQ7HJW+AzYdLZzbP8Sstn7WDXKQFoRK2qWgTiZFQGIFZXBndGYlIFUYlm78iqA8nOqxVkhCILQcQrhJE9M/QtSi/eTWj7vuv1GJMl9ozd2pATEIRRS3HJ7go21ElcudVfYftns1ymGwnzpyDO7Og5BCBIRKwQhSGqIFdpr61Jn4uiUAUjIZu9TmVlR7rDRmrNCJdvkrChUixVRKW+opFhs4KyQ8yQIgtBpLpx5NYXYIDc//glP239t/FaKoTAvmn+gzSPbzbGTUUbGwjz8QJZisXvuijObs1y/dlm6gggHChErBCFIymUg0YoQQ7/OCntyKqvevU9l69Ig8g226wds6hYyK7TTUrXKWaEL8horU7R2h2uCiBWCIAhdIhcb4sKZV3Fs5qsMr1/0dJ+7Jm4nlV3mhvXL7R1cFUopzj09QXZLc/Hx7n5evHzm61wYPMGFgWNdHYcgBIWIFYIQJFaNMhCv5RzOfRMiVuwbioWd57nFkgGttSkDSewO2AzEWVHp+HGQzIrdWBXPpYO0LhUEQegKj599LSUV4aYn/szT9pvhBPeM3cSL5u/vWAlIJanJKBNHIzz2UI5Cvnvuim+au4dIyZKgTeHAIGKFIARJ0QKlIBSqCNj0WQZSFiukDKTnCTKzIp+DUgn6qsSKeABiheOgiFaVgYggtoNl7XaeAMTs0h5pXSoIgtAxthIpnjrxrZy89g/0b896us/Xx89hhSId6QJSj1tuT1DIa554pHsC96C1zfMXHuRLR55FQYXd7yAIPY6IFYIQJHZZgFJqx1LuVXSwV7+VBGzuC3SpZMSFcEBixfam+V7lrFDRqDlGKwGbjihRORmPxaW8oQJdI7NChcLmnMl5EgRB6BhPnfw2QHHjhb/0fJ+7Jm5nLLfKTWtPtW9gLoyMRTh6IsqlJ/KUuphd8a0z32AtNsDd47d0bQyCEBQiVghCkFRmGDidBTy2Li2vfkvA5v7AccxUOyuaLa3YtsWIZN/e2+IJyLawUlOoIVZEojt/F2pnVoA59yJWCIIgdIRSSXP12EuYWLyXRG7Z0322wzHuGbuZF87fT4juiQQAp6+Lkc9pZqe79/n6zOVHGc2t8fmjz+naGAQhKESsEIQgKRZ2Jq9+AzaLklmxr3CcL9XdQJotGchuAaBqiRWJZGtlILWcFZJZsZtamRUgDhRBEIQOMj9jkYuPcPLaFz3f5+6xW8iHo10tAXGYOBohnlBcvtC9z9ewLvEts9/gG2PnWIn2u99BEHoYESsEIUgqMwxC9r+XV2dFuRuIXQYiYkVvU+78Yp5vFQoZASDgMhAA4omWuoGUX0uOoAKomIgVu6j8361ExApBEISOcflCnlh+jSML93q+z10TtzOSX+eW1YvtG5hHQiHFyakYc9MWuWypa+P41plvUAyF+dLks7s2BkEIAhErBCFIKspAlFJm8uNZrJCAzX1FlVgBtDaxbVQGEpCzQkWru4GIIFamWNwbsAkQizXd4UUQBEHwTi5XYuZageMzdxLS3sLJc6Eo3xg/xwvm7yfc5RIQh1NnY2gNVy52b0Hg1NYcN649xd8ffW6PnBVBaA4RKwQhSIpVq7PhiHfRobp1qQRs9ja12oG2IFZox1lRT6xoJWCzbmaFOCvK1MusEGeFIAhCR7h6qYAuwclrX/J8n38eu5lcOMaLe6AExGFwKMzoeJjLF/KmLXmX+NaZr3Np4BgXBo53bQyC0CoiVghCgOjKgE0wP3ttXeqIE3YZgJaAzd4mYLHCyayoHbDZqrPCGatkVtRFMisEQRC6yuULeYZHwwxtXPZ8n7smbmcov8GtqxfaODL/nDobY32txOqSx2vANvBNc/cSLRX4+6PP7doYBKFVRKwQhCCpdlZEvDsrHHFCScDm/qBcBlLZDrSFkoEtW6xwnv8KVCIBrWRWOKJEZPdYKXR31aenaJRZ0WxoqiAIguCJ1WWLtZUip87G3De2yYcifG38Vl6w8CBh3b18iFocPxUjFIanuhi0OWBt8/yFB/ni5LMoqBrOQUHYB4hYIQhBUrR2TwjDEe/lHM52ErC5P7DFChWksyKeRIVqXFAE1Q0kWlUGApKN4lAsosJ7MyuUtC4VBEFoO5cv5AmF4MTpGtlBdbhn9CaykTgvmr+vjSNrjmhMcexklGtPFSgWu1sKshHt5xvj57o2BkFoBRErBCFIqstAIj7KQAq7y0BkEtnjOGUglTkHLYkV25Dc66oAjIAVRDeQ6jIQgIJMxAHJrBAEQegSpaLmyqUCkyeixOLepyZ3TdzOQGGL21aeaOPomufU2RiFgmbmavcWn56x9BhjuVUpBRH2LSJWCEKQVFvJw2HvokNRAjb3FVbAmRVbm7XbloJ5TRTyaK/CVxW6llgRc8QKeZ0B0rpUEAShS8xcK1DIa18lIJYK8bXUrTx/4UEiPVYC4pA6EiHZp7jcxVKQMJqXzt7N3eM3sxWOd20cgtAsIlYIQpDU6AaiPbcutbdzVtclYLO3cQSAitIBFYtDvrmLEp3dqh2uCSZgE5rvCFKoUQZSdlZIyCZgxEERKwRBEDrOlYt5EknFkcka78F1uDBwnK1IkmcuPdrGkbWGUoqTUzHmZyy2t7onqDxj+TFKKsyjQ6e7NgZBaBYRKwQhSKo7CkSiPlqXOmUgErC5L3BcDrucFbHmJ7bbDcQK5zWRbbIUpFY3EOdncVYYisXdYakOsThYBXSpe4nugiAIB5Xsdom5aYuTUzFUSHm+38PDZwF6rgtINY5b5PLF7i0M3LR2mZAuct4+Z4KwnxCxQhCCZE/r0vBOeYeX+wJE46BCklnR6wTdurSRWOGErjbrrKhRBqJith1UMisMVoPMChB3hSAIQhu4cimP1vgqAQF4aHiKye1FxvJrbRpZMPQPhBmfCHPlQve6byWLOc5uTHN+eKorxxeEVhCxQhCCpGjt7g7hJ2DTKoBSEApBNCLOil6n3Lo0OLFC1cmsUPFWnRW1ykDEWbGLRpkVIGKFIAhCwGituXwhz+h4mIFB7601NXB++CznetxV4XDqbJzNjRJLC91z6N2yeoFHh05jKZn6CfsLecUKQpDscVb4EB0s0/ZUKWXs6F4dGUJXKIdWVosVhTy61ERtanYLkv21byuXgWz53y/s5FJUjlUyK8roUhF0qbZYEbfFilzviRW6VKJ0xx+hVxa7PRRBEATfrCwV2Vgr+XZVTCdTrMUGOLd6sT0DC5hjp6KEI3Q1aPPc6kXy4RhPDpzo2hgEoRlErBCEIKkRsOnZWVF530hEVrx7nXplIOD7udOlYuPWpQmnDKQFZ0U4ggpVvOWLWLGD8z9aI7OiXC7TZHBqW5mfQX86g/7al7s9EkEQBN9cvpAnFIbjp/2JFU45w35xVkQiiuOnYly7nMcqdKcU5BZb2JHcCmG/4T12t82k0+nfBb4bmMtkMrfVuP1lwF8CzjvTX2QymV/s3AgFwQPVVvJIxF/AprPyHY1KGUivU57g1hAr8rmdFXkvOOUd9ZwVdhmIzm7jPX6sgoK1O1wTRKyopFzSs88yK7J2hsns1e6OQxAEwSdFS3P1qTzHTkaJRv19sj00fJbBwiYntubbNLrgOXU2xuULeaavFHw7SYJgLL/O0e0Fzg9P8dorX+z48QWhWXpGrAB+H3g/8NEG23wpk8l8d2eGIwhNYFm7V2f9Bmw6E8qwD5FD6A5WA2eF34mtU96RaKOzIlr1dm9nVuhCoTkB5CBR67l02AdihZ6b7vJABEEQ/DF9tYBVgNNNTNwftvMq9tNn11gqTP9AiMsXcl0RK8CUgnxj7BY07KtzJxxueqYMJJPJfBFY6vY4BKElqspAlJ/siUpXRiS6k4kg9CZFp8NGAGLFthErlGvr0ha6gUSqLo4cZ0UvTsI7Ta3n0qGXxYqcOCsEQdifXL6QJ9kfYvyIv3XT5dgA030pzq1cbM/A2oRSipNnYyzOF9nc6E7Q5i2rF1mLDXAtOdGV4wtCM/SSs8ILL0qn0/cC14CfymQyD9baKJ1OvwN4B0AmkyGVSnVwiPuLSCQi58cFr+dIa81c0aJvcIgBe/vV/n7yuuTp/ivhEFY8QSqVYjGRIBQOMboPnpvD+hrajMfZAFKTR1F2a9FsaoJVYKQvSdQ+J17OT35hmmVg6Ogx4jW21aUSc0BfWJVfW35YDYcoxOO7xlGKhJgHBuJx+rr8/HX7NVQsFVgABkdGSVaNo7C5yhIwmIiR6NIY652fbDTCKsDSAuODA+XXoSAIQi+ztVliYdbipqfFTai4D5zMhf2SV1HJqakYj9yf5fKFPLfcXsdJ2Uacc3Z+eIoT2/unhEY43OwnseJu4Ewmk9lIp9OvBj4J3Fhrw0wm8yHgQ/avemFhoTMj3IekUink/DTG6znSxSJozVY+T9bevmRZ6HzB0/2Lm5ugFAsLCxRRsLm5L56bw/oaKq2uArCwvFJuV6uzZvV9ZW4WNTwOeDs/evoaAGu5AqretvEEW0uL5deWr7FubKBD4V3j0LabY2Nlia0uP3/dfg3peXPRtr61zWbVOPSmOU9r8/NsdGmM9c5PaX6u/PPC+QdQJ6d87ff48eOtDk0QBME3Vy6arKRTU/7LIc4PTxEr5jm7cS3oYbWdZF+IiaMRrlzMc/NtCd9CTauc2JpnsLDJ+eEpvn3max09tiA0S8+UgbiRyWTWMpnMhv3zp4FoOp0+fMu5Qu9Sq+49HNmxmLveXwI29xXFGqGMTZYMaCezoq9OwCZAPNF0ZoW2CntLHOzMip7sctFp7P9dte/KQCpeD7P778JdEITDh9aayxfzjB+J0DdQI9TYhYeHz3LT2lNEdXdKKVrl1NkY21uahdnO55IpjLviYekIIuwj9o1YkU6nj6bTaWX//HzM2KW5vNA71Kp7j/hsXRqtCNj0mnUhdAc7n2TXykisyRyI7U3zPVEnswJMbkWzmRWFwt5uIOEIqJC0yIXGmRVOaUUvihUVrwc9J2KFIAi9z9J8ka2NUlMhk9vhOBcGjnPObsO5Hzl6wnQ/uXyhOwsF51YuMt2XYjk20JXjC4JfeqYMJJ1O/ynwMiCVTqevAP8JiAJkMpkPAm8AfjSdTlvANvDmTCbTnWbFglCLcvvDKmdFM61LI1HY3Ah2fEKwVHd+gfIqvM7n/CVtb9uTznoBmwDxBLqlbiC7x6qUsh084qzY+d+N7r2tl4NIs9tmfH0DErIpCMK+4MrFPJEIHDtZ4/3WhUeGTlNSoX2ZV+EQDiuOn45y+WIeq6CJ+Gzb2irOuXt4aIoXLTzQ0WMLQjP0jFiRyWS+z+X292NamwpCb9KyWGFBn205j4izouep7N7i0HQ3EJNXQqOAxFacFVahdlvUaAwKIlaU3U/hvZZkFYmY/+NeFCty2+Z5nTyOljIQQRB6nFJJM321wOSJKJGI/0n6w8NThHSJm9eeasPoOseJ0zEuPZFnbqbA8VOdbWN6duMasWKe88NnRawQ9gX7pgxEEHqeYo3MikgEdAld8lAKYu1Y9VUkKvb8XqcYoFiR3YZEX+OwrXiLYkV1GQgYsWKfZlbo9VVKf/EHJti2VawGZSBgntdeFCuyRqxQk8cls0IQhJ5neaFIIa85esK/qwLgoeGzTG1cI1nswfdjH4ymwkRjipkrnb/Oi+oiN61d5vzwVMePLQjNIGKFIARFTWeFvVLrZUJVuVIfkYDNnsey9q7EN+2s2GpcAgKoRNKspDdDrcwKMGUg+1QU0w/ejf6bP4erl1rfWbHG/24lPSpW6Oy2ceNMHof1VfSWlI4JgtC7zFwtEArBkaP+xQpLhXh06PS+zqtwCIUUR49HmZ0uUCp1vqL9ltULXBg8zna4s64OQWgGESsEISjskD5VOSl0xAcvJR1WYee+UgbS+1jW3sltk/kGenvTVawgnoBs85kVKlrbWaH3a2aFc47tFqwtUe7kU+cCOhaDXO+JFeSyO84KgNnp7o5HEAShDlprZq4WSE1GmsppuDBwgnw4tq/zKiqZPBHBKsDiXOev9c6tXqSkwjw2eLrjxxYEv4hYIQhBUbN1aXT3bY0oVjkr9umK96GhaO2Z3Cql7FV4nwJAdttdrGjFWWHtHSuwr8tAdsSKANwEjvOpQRmI7kFnhVMGwuQJQDqCCILQu6yvltjaLLVUAgJwywFwVgBMHI0SChu3Sae5ee0SIV2SUhBhXyBihSAERTmkr0YZiBexolDYETfEWdHz6GINZwU0VzKwtdm4bSnYmRVZtG7CMlqjGwiwvwM2bZFFb222vCvtlFzVCNgEjKulF8WKXNaMLXXUtKGVjiCCIPQozqR88nhzYsX54SmObi8wll8PclhdIxJRTExGmLlWaO5zvQX6ijnObEyLWCHsC0SsEISgqOWsKJeBeMisKFo7E0rJrOh9anUDgebEiuw2youzQpeaExcK+fqZFfv1deachwDEiv2aWUF2G5VImhKf8QkpAxEEoWeZuVpgdDxMIul/6qExnUAOQl5FJUdPRMluaVaXAwiK9sktqxd5dPgMRSVTQaG3kVeoIARFsUZHAWfyU/QwIazMQIhEoVhEl0rBjlEIjlrdQKC5ia2XzIqE3da0mY4g9bqBdGASrgt5ir/60+hHHwx2xx3NrOhdsYK43ZL2yHG0OCsEQehBtrdKrC4XmWyyBORacoK12ADnVg5GXoXD5PEoKJi91vlFg3OrF8mG41zsP9bxYwuCH0SsEISgKHcDqRWw6a91qa9gTqE7WIW6ZSC+8w2y7t1AypPSnL+QTa113cyKjrTIXZyDJx5G3/vVYPebD9JZ0TizQvWgWKG1NhkmCfO6UJPHYe5ax+3EgiAIbszaJSBN51WMmLyKg+asiCdCjKXCXWlhesvaRWDn3ApCryJihSAERY0yEOVMZl0yK3SpCKXS7oBNkJDNXqZWNxDwvQqvLctMvF0yK1Szzopa5UkOncisWF0BQF+5GOx+C0EGbLpkVvSgWEEhb94zbLGCyRPGZbK+2t1xCYIgVDF9tUD/YIjBoTrvsS48PDzFUH6D49vzAY+s+xw9HmVttcTWRmdLQVK5VY5sL0luhdDziFghBI5+5H706nK3h9FxdLnuveLD2KNYsWdCKc6K3qdYDKYMJGuXMXh2VvgVK+yJeM2AzWjbxQq9tmJ+CFqsCDBgs6YrqpJeFCsc0SpuRCw1aVt5Z6UjiCAIvUMhX2JxzmraVQEmXPPc6gX8NzztfZzz0o2uIOdWL/Dw8FnEjyf0MiJWCIFT+s1fRH/2U90eRudpGLDpVayI7v4uzoreJajMim2PYoWzgu7bWeGIFbG9t8Xi7X+NrdnC5doKei04EbNcahOkWNGgdSl5f+U3bccpB6p0ViDtSwVB6C3mpi20br4EZCk2yEwydeBKQBz6B8MMDoWYudb5xalbVi+yEhtkJjne8WMLgldErBACRZeKZqK2sdbtoXSecvvDig9kx2XhJlYUq50V0d37FHoPy9op86lAxWJNiRXKtXWpXQbiM7OiLEbUCo+MtN9ZQaXL6sql4PbrjHs7oMwKpSBU5yMxFod8vrcCb23RSjlixdiEcXJJyKYgCD3EzNUCsbhidKz5EhA4eHkVlRw9GWVx3iKf6+xnjHNOpRRE6GVErBCCpWAm3XorgDry/Ua14FD5s5tY4Uwow1IGsm+wCp0tA7EnpbpZZ0XN1qUxsNrc431tpSy0BJpbEaSzoliAcBil6piM43HzvZecTuUyEDtgMxyGiaNoKQMRBKFHKBY1c9MFjp6IokLNFXGcHz5LvJjn7MbBFWKPHo+ChtkOuytObs0xUNji/LCEbAq9i4gVQrA4E6MgJhD7jVpWcsdl4ZZZUdxdBqKkDKT3KQYTsOm5DMTJrMgG6KyI2aUhbXRX6LUVmDwOw2PB5lYE2Q3EsurnVYB5TqG3ciuc7BLHWQHmPItYIQhCj7A4Z2FZzZeAADw0fJab1i4R0T3kbAuY4bEwiaTqeG5FCM0tqxfL7hVB6EVErBCCpRDgBGK/UQ7YrBQrbNujBGwePKxgMit0Wazob7xhObNiy/O+gbKAqKK1uoF0QBRbXYahUTh5Bn31YnD7LZeBbLVenlHvuXToRbEiu1esMO1Lp3urXEUQhEPLzNUC4QikjjR4f23AVjjOpYFjB7oEBEApxeTxKPMzBYpWZ+Muz61e4GrfEVajLtcggtAlRKwQgqUsVhzCMpAGAZu66NKSyplQSsDm/qFYrO+ssCz359yhLFYkG28XiRjxy29mRaMykEj7nRWsraCGR1Anz8K1p0yr1iBwhANd8n9OqqnX2cWhB8UKXdUNBDDOikIeVha7MyhBEAQbrTWz1wpMHI0SjjRXAvLo0GlKKsS51QsBj673OHoySrEIC3OdXaRyhCBxVwi9iogVQrA4ExFxVuz+uegiOuxxVkjAZs9TbJBZAVDwOLHNenNWKKVMKUiQmRVtLgPRpRKsr8DQCJycMq/zoMoU8rkd51Kr7zd2ZkU9VA+KFXu6gQDqyHHzg5SCCILQZVaWimS3dcslICFd5Ka1ywGOrDdJTUSIRGHmSmev+65fv0K0VJCQTaFnEbFCCJaKhP5DZ0W2TIbBrpC+cjmHN2eFlIHsI+rlHJQnth4FgO0tI2rVEhOqSSSC7QYSbbOzYmvDvPaHRlEnpwDQVwJaISvkTXkJwHaLTi6rTv6Ig/OcturgCJIaZSDl9qXSEUQQhC4zc7WAUjB5rLkSEICHh89ydmOaZLGHhOI2EQorjhyLMnOtgKY5J0ozRHWRG9cui1gh9CwiVgjB4ky6tfa/ArzfKdaoe3cmQK6ZFVUTSikD6Wl0qQilUmNnhddV+O0tSCbrd6KoJJ5svhuII0xUoNqdWbG6Yr4Pj8LRE+b/IajcinwORsbMz1s+czyqsazGYlFPOiu2jThaOe6RMTPW2enujUsQBAGYvVpgbCJCLN7cVKOgwjw6dIpzKwe/BMTh6Iko+ZxmefiGjh73ltWLPDlwklyoeReMILQLESuEYKmc9By23Ipaq7NexYrqEpJy1oU4K3oSxylTq3TA78Q2u+UerumQSO50gfBKw9alPktW/LK2DIAaGjGT6mMn0VcutbxbbVlGLBp2nBWtlYHoevkjDk4uRC+JFdnt3a4K7FKhI8fFWSEIQlfZXC+yvlZqqQTkycET5MOxQ5FX4XDkaBQVgrmJZ3f0uOdWL1IMhXls6FRHjysIXhCxQgiWSjv5YcutsKy9k1ev5RzirNhf1ApTtfGbb6C3t/ZMOuuS8J9ZocvOis53A9FrK+YHu1xDnZwKpn2p/T6jbLFCt5xZUeN/txL7OdW9JlZUhmvaKGlfKghCl3FacB490XwJiFOWcNA7gVQSjSlSRyLMTDyHTvYEuXntEkqXpBRE6ElErBCCpTIQssXVzqDQlhVcB4JGFAt7V6+dCZCrWOFMfqvECgnYbAs6n0MvL6KvXEA/cj/67jsp3fn3aK9uoLITpkFopa8yEI/Oivg+y6xYNc4KhkbM95NTsLyA3lxvbb/OuS2XgbT4XmPVCUt16MEyEJ3L1ha5Jo/D4mxn3vMEQRBqMHO1wNBIiL7+BiKwCw8PT3Fsa56RwuFy6R49EWWr/yibfcc7dswBa5vTm7OcHz7bsWMKglealzwFoQa6coV2szc+YPTv/S90IU/4X/379h7IqpFZ4dFZofd0A5GAzaDRM1cove8XzAS63uT8Tf8S9e2vdd9ZA2eF/8yKTRib8LSpSiTNJNUPDctA2uzgWVsx56jPiDHqxJRZLbpyCW6+rfn9Oud22BYrWg3YLO7DzIoaZSCAESuKRVicMz8LgiB0kFy2xNJikZtujTe9Dw2cHz7L8xYeCm5g+4TJ41Hu/8Y2M0eezQ0XO+eSu2X1Al+cfDZFFOGO+joEoTEiVgjBUjEJ1NubgeUZa63h0Qfgptu8BRFW3vfSE1By6cYRBDUyK1QoDEpJwGYPoB95ABZmUd/6XTA6Dv0DqP5B6BuA/gFKv/ST3oMaiw3EirjfzIptVLLP27bxhP/g2obOCru8oZBrT/b42rLpBOL8z1Z0BFGtiBXO+0wiac5Jy84KCxINnoNeFStqloGcMJeZc9dErBAEoePMXiuApqW8iqt9R1iP9h+qvAqHZF+I4dUnmJt4Njdc/L8dO+651Yt85sSLeWrgKGc3JKRZ6B1ErBCCxWqTs+KJhyn9958j9JO/ALc+y/PdtNawNA+6hNbat9DhB12rGwgYAcNVrBBnRduZuQqxGOrNb0eFalTARSLeyyGc56tBwKbOexQAtjcbT5QraSVgM9p5Z4VeXdkpAQETiDkw1HpuhS0aqFgcnexvXawoFhtnVkQioEK9JVbksjsBo5UcMQKFnr2Kuv25HR6UIAiHnZmrBZJ9iqGR5ktAHhk6DcAtq60HMu9HJufv5tEb3kg2NkIiv9KRY968Zs71o4OnRawQegrJrBCCpdCezAptB8Zpvy351lfNBNSyYGMtsPHUpFY3EDATnaKLs6PsrHDECnFWBI2evQpHjtcWKsC4DHyLFQ06bHiY2GqtYXsbkh4DNuNJyOdN9wqvOK+tWq/NdmdWrK3smlArpeDkFLplscIebzQGff3oVt9rXDIrlFJGhMr1kFiR3UbVKgMZsN1CErIpCEKHsSzN/KzF0RPRlhaHHh88SdLKcmx7IcDR7R8m5+8GYG7C++JcqxzJLtNnbXNx4FjHjikIXhCxQggWy55EhCPBdgNZnLO/z/q83/zOz8uLwY2nFo2cFUUX0aG4O2BThUJmpVcCNoNj5gpq8kT922Mx7yvn9vOpWs2ssArmuffTuhT8hWzaE/GaIk3bxYplVKWzAlAnz8K1S+hWSrOc8caMWNG6s8IyrVUbEY/3lrMiu23EqyqUUjB5vCzwCoIgdIr5mQKlIky2UAICpm3pdRtXCR3S7ISBzav0bc0y28EWpgo4szHDxQEpHxR6CxErhGBxnABDI+C1s4IXlhyxYr7xdvXuBx0SK2p8QHtyVjgr9RWT33BEykACQlsFWJiDow3EimjM+6TdeT4biRVeVuEdR4DXMhAno8BPbkWhQXhkG8UKXSrC+truMhAwuRX5PMzNNL9zRzSIxY3QE0RmRS3nSSWxHhMrcnUCNpH2pYIgdIeZqwWiUcX4RPNV5sWS5lL/ca5bvxrgyPYXCpic/waLY7dihfdmE7WLqc1rXOo/Rqk9KVaC0BQiVgjBUiiY2u7BIXSAzgq9YEQHvTjnsmXV/Sq21yttFivqTXjCYe8Bm5V185GolIEExfwM6JKrWKHzfstA6pT9qNBOqUIjtm3RwWvAZtPOitpihQqHIRRqz+tsY82c86pcBWWHbHL1YtO71o5oEI2jkv2tl5y5ZVYAxOI7x+0y2irYoaB1yocmj5sWsT0yXkEQDj66pJm9ZnHkeIRQqPnJ7uXVHPlwlOvXrwQ4uv3H5PzdlEJR5sdv79gxpzamyUbizCVq5CEJQpcQsUIIFitvQvuS/QE7K2xHxYLPMpClBbMarUKw3Obax1qtS8F7wGakqsYzIs6KwJgxKzSNy0D8ZFZUZYxUUM438DJRtCfZXruBKMf278tZkW/cljMa9yas+GV1BWBPGQjHT4EKtZZbEXQZiEtmhTlWDzkrnOe/RjcQwIRsam1EOkEQhA6wslykkNdMHmutBOTxJSPGX3+InRUAI6uPEylsMj/+9I4dc8oO1pRSEKGXELFCCJZCwVjL+wcCy6zQpZIRHcIRWF/1tVqoF+cgNWlWd9vtrKiXWRGJuosOtYQOcVYEhrbFChqJFb7KQBo4K8B7/sW23SrVs7PCnpz66QhiFWp3AnGIRneyZoJkbcV8H6pyVkRjcPREa2JFZRlIn3FWaN1CbXO9Eq5KekmscJw1dctA7Nf57OG+2BcEoXPMz5jPxdTR1hoNPrGUPdThmg4hXSK19AAL47d3LLnj9OYMIV2SkE2hpxCxQggW23KugnRWrC6bycTZm8zvfnIrFudgbAJGx9HtzqywLFSdMhDtKlbUsOpHohKwGRSzV2BoBNXXIMgy5kOsqG41u2dfcSj4ECv8tC4FX84K3aAMBPAn0vhAry6bH4ZH9tymTk611r7UGa/dDYRSyV9pTDX7LbPCfv5rdgMBmDQXmr67JwmCIDTJ3HSBkbEw8XhrU4snlrKc3bh2aMM1K5lYvJ9sYoyN/gYLLQESLxU4tr0gYoXQU4hYIQRLwV7FDdBZ4XQAUTfdtut3b/edR40bsaLtAZtWoU5mhYeAzVqujEjEXeQQPKFnrjbOqwAz8fXcDcTNWeEt30BnfTorbNu/9pVZUcfx4xCNtacMZM0WK6rLQABOnIGFWbQj1vglX1EG4nRSaeX9xmNmRUuCSJCUy0DqOCsSfcZNJs4KQRA6QD5fYnmpyESLropiSXNhOXfo8yocUov3A3Q0t+LMxjSX+kWsEHqH1t5VBKGaQt5MfpL9kM+hrYJ7S0AXtO2kUDc/Df1p87uX6Cad3TLujrEjqHAEff7elsbhSt0ykIi7Q6JQQ+iQMpDgmL2KetaLGm6iYnG0R4eB9uKsaGfApq/MCjdnRRTdjtfZ2oo5D7Xaa548a9bMrl6EG271v+98zm7HGoa+frOv7U0g5XtXWuv6/7uVY+6hgM1yGVA9ZwWY9qVz0hGkGdLp9KuA9wFh4COZTOZXq25/LfBLQAmwgJ/IZDJf7vhABaFHWJi1QMORo61d711ezZEvaq7bEKEVIJlbZmDjCvPjT+e6p/62I8ec2rjGnUeewVY4Tl+xRz7zhEONOCuEQNFOUF1fAKudDk5Hj+tuNhN6r86KRbvecXwCRsZge2tnJbsdNArY9OKsqM4V8BmwWfri31L60v/zvP1hQW+swca6R2dFQJkVcX8Bm95blzrdQILMrIi1J7NidcWU3qga0qLdEaTp3IpC3gSDQuvvNW7PpYPX57QTuAVsAuqItC9thnQ6HQY+AHwncCvwfel0ulpR+xzwjEwm80zgh4GPdHSQgtBjzE9bRKIwMu7iUHPhyWXzHnvYwzUrmVi8n+WRmyiGYh05nhOyeUlKQYQeQcQKIVicgM2+AfN7UGLFwJCxNo+lYMFj+9Ils50am4BRe8V1ean18dSjWKfu3YPooGuVkPjMrNBf/iz6zr/3vP2hwZ6wNewEAk1mVtQRAbzmG2S3IBZDuXWicIjbE3Q/zgqrAJEGFznR9jh49PrKnralZcZSxn3VrFiRz5nnCyDZ4nuN23Pp4NUt0wF0tnHAJmDal66tNF9qc3h5PvB4JpN5MpPJ5IGPAa+t3CCTyWxkMhmnoL4fpLheOLxorZmbKZCajLbUshRMJ5BERHFsy0c22QEntXg/pXCMxdFbOnK8qU27I4iUggg9gpSBCMFimTaJyrFmBxCyqRfnYPyI+SU1iV7y9iGmHUfG+BFUqWjGs7wAx062PKaaBNC6dBeR6M7KuxfyOQhJ2Ug1njqBQJPOijqrSLG4t4yU7S3vrgowZQ9+sxNcnRVxf68zr6wumwlzDZRScPJM886KfM6cByg7K/T2hqfysD04ricvmRX5HFrr2m6RTuKhDERNnjDveXPX4MwNHRnWAeEEcLni9yvAC6o3SqfT3wv8V+AI8F21dpROp98BvAMgk8mQSvkvU+p1IpHIgXxc1cjjrM/KUp7s9irX3TBCKjXc0vGfWrvKTUcGCe8j/a8dr4tK//DYyiOEijkWxm/nyOJ9gR+rmvHcKgOFTc/tS3vl/0L+Rw8uIlYIwVIomMlDoM6KeTh+CjAuCf3A3d7utzRvhILh0fKKuV5ebG5C4wXLgnCNSWHYQzmHUz5Tic8yEPI56PYkqheZvWImoqnJxttFPXbwANduIJ7zDba3dgIivZJINpFZ0ShgMwpr7cisWEbdWD+PQp2cQt/1edOa2CfaycaBAMpA7Mfu5m6JxUGXzHPfSPzpBC4BmwAcMReaeuYqSsQKP9R6E90zc8pkMncAd6TT6Zdi8iu+vcY2HwI+5OxjYeHgtWJMpVIcxMdVjTzO+jzxiBHPkwO5ls5RsaR5dG6D77hhpOl9dIN2vy7CpQLjyw93LGRTYUpBvHYE6ZX/C/kf3d8cP15fHBOxQgiWchmIvdq51eRqp43WGpbmULc/x/whdQRWl9CFPCrqUr+3OA9jKVQohB4dN39baU9HEF0qmolMjQmPCod3AhnrUa91qR97fj5vxiDsQs9chYmj7qUWsRiUSmjLct/WeT5riVPguQxEb281tvLXIp6ArD9nRaOQWxWNoQPOrNCWZXJChuqUgQCcPAvZT5syryNH/B0gXyFWOOGkrZaBeGldCuZ57bpYkQUV2imFqcWRo0a8PH8vevI4DA7DwDDKKSUS6nEFOFXx+0mgbvhHJpP5Yjqdvj6dTqcymczBu4IUBBfmPvc1BuJjxH/irbikczXkqb5Jcs9/L2c/+VuBja0TFN/+mrYfI7X4AOdvfgtbiRR92fa/zUxtTPP/jr+AImpfuVyEg4mIFUKwWHkzMQoqYHN91UxMnDKQcXt1fGmhrsXcQS/OwdgEYCZkDAyaMpB24FjJ63UDcXVWWNC3exKh/LYuzeeg1MqlwgFl5qp7CQjsTH4LefdV9mJjZ4XnNqjZrZ3/Fa8kkmg/AZuu3UDa0Lp0fdV8r9W21EadnNrpCHLuNn/7z+fK+R0qEjVCQrOlLH4yK5xj9w80d6ygyG1DItmwHEVFY3DsFPorn0V/5bM7N8TiRrgYHIYP/GkHBrvv+BpwYzqdPgtcBd4MfH/lBul0+gbgiUwmo9Pp9LOBGNDm3tiC0HsULc3SyM2cvtp6XtYTg+ZzWtqW7mVi8T7O8xYWxm/n9NXPt/14U5vXyIdjzCRTnNiW/BChu4hYIQRLwa6Pd8pAWq2Fd9qWjk+Uv2swHUFcxAoW51HnnrHz+0gKvdKmgM1Gq7NexIpincwKHwGb5HNQtNClEiok2blgO17mp1FPf677xs4qdSHn3kq0aJlV63rn2WvA5vaWmTT6Ie6zDMRLNxCvwaJeWVsBQNUL2AQ4fhqUQl++6H//hfxukaevv4UykAZCYyWOWOEnL6RdZLcadgJxCP3Mr8L0FVhfRa+vwsaaEZLW19Abqx0Y6P4jk8lY6XT63cBnMK1LfzeTyTyYTqffZd/+QeD1wFvT6XQB2AbeVBG4KQiHhsV5i1I4xsTi/S3v68nBk8SLeY5LuOYe+remSWwvMN8pscLuCHJx4JiIFULXEbFCCBbLLgOJxszF/2aLAZtOm1LHUWF/1wtzDctLtGXB6tKOIwNgdLx9zopGGQZeAjYLdbqBeCwD0Za1I4jkc/5LCw4qi/Pm3HtyVjgr5x4m7pbp/FJ3ZTsWh2LRvfxne8t0ufFDImkmnV6pVWJUSdSnKOaFtWXzvZGzIpGEiaPNhWzmczA8tvN7sh/dYmaFcgnYVPGEEUp7oX1pNuvpf1z1DcD1JkFe0my8k8lkPg18uupvH6z4+deAX+v0uASh15ibsQgV84wtP9zyvp4YPMHUxjUpO6iBwrQwnT76AkoqTEi310V7anOWcKnIxYFjvGS+/aGegtAIWX4VgqVgdwNRyrgrWnRWaNtZge2sYGTMhCUuuii9ywug9c79ADU67q1DQzM0CukLR3ZWb+ve39qbK+AnYLNyAtULK7+9gt0JxLVtKVQ4K7yLFfX3VVEy0IgmykBUPNFE69IGYkUs+DIQveouVgBwcqq59qX5HCpWUTbV1996GUi9/BEHr89pB9B2GYggCEI3mZ8pMLbyCOFSa4J3EcWFgRNSAtKAicX7sSJ9rAxf3/ZjRXWRE1tznjuCCEI7EbFCCJZKy3lffwDOijlI9pkVQuzVz5HxHcdFPez2pmpsR6xgdNzYof2EVnqlURmI59alNZwVXle8d4kVPiayBxw9a1/4HHUXK8qBrV4m7kWXDhseJrZaa9huYtKZSHoWpLTW7t0rIjG7fCjAlRq7DKRhwCagTkzB/DTaj/gCRlCqDJdMtlAG4tLZpUwPiRVks57KQARBENrF1maJjbUSqQBKQKb7JsiFY1y/fjWAkR1MxpceRJWKHesKMrU5zcV+bx1BBKGdiFghBIbWeqcbCEDfALplZ8Xc7lIOgNSk+bvb/WD3fUfa2BGk1cyKmt1APIgcDpUTKD+dIg46M1eNaOYlF6Iys8KNWuLSrn15mNjmtk33lna2LvUSHlkOFvUR5urG2ooRGV06T6iTU6A11lMX/O2/shsIoFpxVvjNrOgJsUKcFYIgdJf5GbOYMrHYepmAE6553YY4K+oRLW4zsvYEC2MdEis2pllMjLAekc8aobuIWCEER9EypReRCmdFq91AaogVavyIexmI7axgLLVzv1H753aEbNpiRM2Wl7ZYoXWDOsx6zopSyduKt5SB1ETbnUAadU0o4yezolhsWAZSnqQ3KilxXsNOW12vxJOQ2278enJwju9WBgLeRBqvrC7D4Ij7dienzKEvPe5v//ncjngALQZs2u4ll8wK53i6F8SK3LbJ/BAEQegS8zMWiaRiYLNuZ1/PPDFwklgxz0kJ12xIavF+VoemyEUH236sqQ3zvEopiNBteiZgM51O/y7w3cBcJpPZ08cunU4r4H3Aq4Et4G2ZTObuzo5SaIhTsmBbzlWyHz033do+l+ZRN1W9HMYnYGURbRX25jw4LM7D8OiOtR/Kk0K9vBB82FzDgM2wEXFKpfoTIqtGWYHz2AoWxF0mUlIGUpvZa6hzT/e2rd/MiladFfPmf0NN+LRZJhLmtVTI756w1xzn7v/Jmji3BVgepddWYHjEfcPUJMQTWBcfh2e92Nu+SyXzuKrLQLY30Vp7E6Yq2YeZFWS3jWglCILQBUolzfxsgeMnY4FcTz05eIKzG9cI61IAezu4TCzex2PXv56Fsds4MXtXW49V2RHk9pUn2nosQWhELzkrfh94VYPbvxO40f56B/BbHRiT4AdnsuMIBP0DLTkr9NaGae2YqioDGZ80k/+l+p099OIcVOZVwE4ZSDtCNp1JYa0Jj/O3RqUgNVuX2pPhoodJpDgr9qCz26bkx0u4JpRft9qDs0IXa3RvqcRLZsXcjPnhyFFv43NwVtS9PM/O67KRsyLiQ6Txytqye7gmmBa7qUlKLmVduyi/z1Q5K4rF5oQEv5kVuR4QKyRgUxCELrKyWMQqwMSx1tc8SyieHDjBdZJX4crw2kWi+XUWOpBbMVLYYDi/LrkVQtfpGbEik8l8EWjkz38t8NFMJqMzmcw/AiPpdFr+g3qJast5sh+2NrzZ1WuxYCYwqroMxBEvGk1wFud3h2sCJPvMamQ7MiuKLs4KqJs/oUul2mUFznn0ErJZMUnTkllhmDUWRuUhXBOoyG7wmFnRajeQ+Rno60f1+7RzOsGKXnIrvIgV5ccdYPDs2grKJVyzTCLpL2DTOafVZSDQlDiqvWZWxHvDWaGLRVOqJAGbgiB0ibmZAihITbYuVlzrS5GNxLle8ipcUWhSSw8wP34bugMNqac2pqUMROg6PVMG4oETwOWK36/Yf9tTZ5BOp9+BcV+QyWRIpVLVmwg2kUgksPNjFbIsAoOjYyRTKTYnJtkolRgf6CeU7PO9v+wTD7EKjFx3I9GKMRaLN7MADOS2SdYYu9aaueUFki96GYNVty+kJohsrjPi4zF7OUe5awOsAMPj48Sqtt0aGWEdGB8ZJlRjtVnnc8wB/cPD9Ffc17nf2NAQYZfjZ+NxVu2fB6Jh+jr4mg/yNRQk2+fvZg0YueW2Xa+fehTDyryuYjHX87ccClFKJBivs521uWr+F+KxuudneWWB0vFTdfdRj+zEpPm/SCZcH5e1tcYiMDQ2RqLOtrlUihVgpD/p6Ty5ofM55rY26Tt2ggEP+1seGIRc1vNrqEjRPE9jY+XnKTt5jFVgNB4l4vMxbCcTrAGjqYmG99VaMwf0RcKeHleQVL6GSpsbzAP946ld7xeCIAidYn7GYnQsTCwWotU+Uk8MnASQTiAemVi8n+mjL2J94BRDG0+19VhTG9P89cmXYKkQESnREbrEfhIrakmINZfsM5nMh4APOdssLNQvFzjspFIpgjo/es60E93IZtlcWKBkPzuLly/tdTl4oHTR1MitROKoijFqHQIVYv3SE2zWGLteW4ZCnu2+AXJVtxeHRinOTft6zF7OkV40bo3Vjc1dYwUobRunw+LcLCq/112ht7cA2Mzl2a64bylrVnCX5mZRNM6sKFUEjm4sLrDVwdd8kK+hICk99jAoxUo0sec5qYW2V+U3lpdcz1/Rfs7qPW69ZZwCawsLJCyr5nbFq0+hpm70fe503jggVmauoQZGGm87b14X69vbbNQb67YZ68r8PGrE///pnv3ZjqetSIysh8dWDIWJbG16Pg96xpTPbOTy5edJW+YiavnaFVTfkK/xllaWzX3X1lFRlzHE4mytLHt6XEFS+T+m7fK3zWJp1/tFMxw/LitmgiD4I5crsbJU5ObbgnF3PTl4glixwMktH+WAhxinVez8+NPbL1ZsXsMKRbjaN8GZzdm2HksQ6tEzZSAeuAKcqvj9JNB6BLEQHE4ZiG0rV/0D5vdmcysW5kyI3sDuyYeKRExYZr0yEHviXksgUSNjsNyGiYaTK1GvGwjUb0Nar2a+MmDTjV2tSyVgEzBtS8cmUG4hlA5OYKMXm3+xtTIQXSyajjUTPvMqoKIMxE9mRaz+NkFnVqytAHguA1HxJCU/r1l7nCqgMhDPmRVgntduB2w6AbpSBiIIQhdYmDXvmRNHg1nvfGLwJGc2JVzTK4n8KoPrTzE/vqcXQeCUQzb7RdgWusd+Eis+Bbw1nU6rdDr9QmA1k8m02GpCCJTqzgPJFiYQgF6ag7EjtdP9xyfKK7h7cP5elXUBwGgKVpa8tQP1Q6OOAs6ktljnmHVyBVQzAZvhsARs2ujZq+A1rwLM86RCwXQDiboIH0vz5vXQjFhRDtj0kVnRqBuIny4oXlg1TgUvAZsAJBJNZlZUdQNhxx3ji0Z5M9X0glhhi1Qq4b+0ThAEoVXmpgtEY4qRUZcuZR4oobgwcFxKQHwysXgfyyM3YYXbK1qf2JojUrK4NCARgUL36JkykHQ6/afAy4BUOp2+AvwnIAqQyWQ+CHwa07b0cUzr0h/qzkiFuhSqJt3l1c6N5va3OG/alNZAjU+iH32g5m16yS6JqHXf0XHT9nFtFUbGmhtXrWM2bF3q5qyo48ooOyt8iBUDQ+KswOQLMHsNdePTPN9HKWUmwF4m7bW6t1TiFrDZbNtSKK+o62zWPV6r+n+yFtFgxQptOys8tS4FiCfQ2S3vB3DOaXU3EIDtFsSKem2FK+kJscI+V9INRBCEDqO1Zn7GYmIyggq1HvA4kxxnO5Lg+nUJ1/RDavF+npz6bhZHzzG58M9tO05Elzi1OctFESuELtIzYkUmk/k+l9s18GMdGo7QDFVlIPSZMhC9tdlcZvHiLOrMDbVvSx2Bf1pEF4uo6knG4jwk+1D28StRI+Mm6GR5MVCxotGER0Ui5pj1WpeWXRnVYoXjrPBYBhKJmBVmcVbAypI5D5M+rYvRmOm04IZlNZzcqkjE3F6vDMRpW9qUs8JeUffUDaSqQ08tbNeFLhSCyRZfs50VgyPetk8kIZ+v/b9cC+d9prIMpBUXVyNXVDWxOLrb/1+OoyYhZSCCIHSW9dUSuawOtAQEkLalPhldeYxwMcf8+O1tFSsApjan+eexm9t6DEFoxH4qAxF6nWrLeQvOCp3LwsZ6XWcF40eMQ6JG/oRenIN6gZ6jdnp+0O1LGzor7AlYPdHBLvNQ1VZ9P61LczkzeYsnuj+Z6gVmzCqNmvRRBgK2s8Jb61LVKLMCGq/Cz8+Y57cZwcyZpHooA9FO3klDscKe9Ht53F5YXYG+gb2v53rEnbIWj6/bGmUgKho1QlMzzgprfzkryq2J4+KsEAShs8xNm+uRI8c8vr+78MTgCaKlAqe2JLzRD2FtMb70EAvjt7f9WFMb06zEBlmJ7l0AFIROIGKFEBi62nLeympno9wJQDl/r5VbsTjfQKwwk0MddMhmo9VZrwGb1ff1G7AZi5tVai9ZBgccPWuv0vjJrAAzcffirCi6ZFZAw4mtnp+GiaOoUBNvwZGomVh7clY4AmKjfA0f5UYe0GsrMOwtXBPYCYr0KFbofJWDy6Gvv7n3mqJxyXh6LuLdFyvKz7uUgQiC0GHmZywGh0MkksFMH54cOMnUxrS0xWyC1OL9bPVNspmsfZ0cFFMbppeBlIII3ULECiE4yhMjuxtIOGwuqJtZ7bRFCFVHrHBEDL1QQ6xYmq9/v4FhU26xHLCzolE3EEeEqFsGUmdC6TdgM5YwEz8vXSIOOjNXjVgwMu7vftEYOojMCnB3VjRTAoKdrRFPeJvc1wlv3UXAmRWsLXsP14SK7iYeRbZaZSBgxNEWxApP9ICzovy8SxmIIAgdxLI0SwsWR44G46oooXhy8DjXSV5FU0yUW5i2111R7ggiYoXQJUSsEIKjnFlR8UHWNwCbTZSBuDgrGEuBUnucFTq7ZcpO6gVzhkLGet+NMpAmnRXaw4q3tp0Vyusk9oCjZ6/C5HH/zoVo1EdmhbuzQteY2GqtYX4G1aRYAXh30HgSK+zbvDxuL6ytoHyIFcpPdxOo3Q0EoK8f3WwZiJe8Cux2qd0WKxxRJyZihSAInWNxzqJUgoljweRVzCTH2YokpRNIk/Rtz9K3Ndv2UpBBa4ux3AqX+kWsELqDiBVCcNTqPNDsBGJx3kwG69jJVSQKw2N7y0AW7U4g9cpAAEbH0UE7KxrVvZcdEm6tS1sM2IxLGUiZ2Wuooyf93y8W95bd4LUMpJZbYW3FCErNdAJxiCe9tfv00A1EhcLmf80KqnXpSlvLQGp2A4HWykC8tC0F21kR0Hlqluw2xJPNlRAJgiA0ydx0gXAYxlLBiBVPDpoyzes2RKxoBgWkFh9gcfRWSqr1NrKNmNqY5uKAz8ByQQgIudoRgqOqDASwJxBNtC5dnIOxVOML8tSRHQdG5f1oUD4CqNFUG8pAihAKmYlfNWGXcg6rTgiin4DN/E7A5mF3VuhCARbm/HcCgcC6gQD1SwactqVHWhArEkl/ZSDV+Q7VRKOBZFboXNaIZb7KQGxnhdfypULeuKqqBAbVbBmIF5eMQy84K3LbUgIiCELHmZ+xGD8SIRwOpG8UTw6cIFKyOLUp4ZrNMrF0P8VIguWRm9p6nKmNaa70HaHQZlFEEGohYoUQHIUabRL7BpqaQOjFufolIDZq/MjeMpAl21lRr4sI2GUgC8aOHxTFQv3VWfvvul4ZSLFOCUkzAZt2ZkWgj22/MTcNugR+O4GA3Q3Eq1jhIbMiV6MMpJW2pQ7xhL+ATTfnQNTj43ZjbcV8H/LhrLDLQLSfMpBY3GR3VNLX31w+zn7LrLCdFYIgCJ1ia6PI5kYpsLwKMJ1AzmxME9V1XKeCK+NLD6FKVkdyK4qhMFf62xvmKQi1ELFCCI6CmbBXTiLMamczzop5VCPBAYyYsbyAriyvcMpHGk2WRlNm9byZVdh6NJq8hhuXgZQzKapXd30GbKpY3ExidCm4sMT9yKzdttRvJxBAeZi061LRnGPXMpBYHWfFDKgQpFr40E8kvTkRavxP1sSro8SN1WUA1PCI9/v4LQMp5Gs7RewyEN9CneUhLNUhFoeiVV947AA6K84KQRA6y9yMec+bOBpMCYjGOCuulxKQlogUs4yuPsbC2G1tPc7Upt0RpF9KQYTOI2KFEBxWYe8kot+/s0IXCrC6BOOTjTccP2IEgJWlnb95KB9Ro3aHiCDblzaqe3dEiHrlHI6zIlqnDMSLPT+fM5PjhM+J3wFEz9gXP005KzxkEjiik4tYUTeMcX7avEa9TpBr7Tue8B6w6eU40Zi3ciM31oxY4asMJOGzG0g+vzdcEyA5YP6XfIou2k9mhSOsBOyu0MWity40YP63pW2pIAgdZGHWItGn6B8MZtowmxhjM9rH9dIJpGVSSw+yNjRFLjrYtmMc21ogVsxLRxChK4hYIQRHIb93YpTsh+z2bveDG15KOQDlrExXlILopfnG4Zqw084yyNyKRnXvrgGbTjhn1f0da7rXgE2nDAS8T/wOIjNXYXgMlezzf99ozD1gs97zVU0dsUK30La0TCLpvQzEk1gR9T5ZboBupgzE6WrhswxkD3395vu2TyeX38wKZwwBoj/xu5R+9We8bSxlIIIgdBBd0izMWUxMRt1deh55YtAEYF8nnUBaJrX4AACLY7e27RhhNKc3Z0SsELqCiBVCcBQKe90B/QPmu59acg8hmQCMmdt3hWwuzrnfbzRl7hdk+9JGgYtuokM5BHH3uVOhkN2lwXvApnImMYe4I4ievQpNlIAA3sohGrWpraSeS6PVtqVgREAvJQ8FH86KQMpAVkz45eCw57uoSMQc32PApm5UBgL+y7v8ZFbEbbEiQOeS1hr9z3fBtUveSliy2zvtXgVBENrM6kqRQl4zMRlMCQiYvIpIyeL05kxg+zysDK1fJFLYZHHsaW09jtMR5BAnogldQsQKITisAkSqJhFJ/xOIsvjgJjo4zotFkyStrYKpmXdzVgyPmglV4GUgdSaFzqS2Xp17o5X6SNQ1YFOXSrY1Pr5jD/faWeEgMnsN1UwnEDDlBVbBnNN6FOtkjFQTNc6Kygmozm7B+mprbUsBBgbNa85NlLJqCIg1xxoLpnXp2goMDKG8Tv5tlNfuJlDXWaGc95rtLV/HNpkV3i7C1cCQ+WF91d8xGjF7DZYWzDg21923lzIQQRA6yLydV5EKUKx4cvAkZzZnJFwzAEK6xPjyeRbGntZWIWFqc5r1aD9LsaE2HkUQ9iJiRY+gr15CP/lIt4fREmbFs8odUF7t9GHNXpwzAYROuUYdVDQGw2MmVBNMWYfW7uUjkYipqa/MumgRbTXoBuIEb7o5K2rdPxJxD9h0Mi0qy0AOaWaFXl8zE75m8irACAzQOCfEs7MiZoI4K50xdicQdaRFZ0W/XZu60Xhyq32UgQTSunRt2V9ehY1K9rVeBuKU/TTjrPCaH+KUtzjZHAGgz9+784uX9yQpAxEEoYMszFoMjYSIJ4KZMjjhmlICEhyppQfZTk6wlWxft46pDTtkc0BCNoXOImJFj1C64w8p/eH/6fYwWqNWqn6fXQbiZwKxOA+jY0ZUcGN8YseJ4bV8BGBkHB2ks6JR3buzytyss8Kt84BTPx+LVwRsHtIykBY6gQA7wY2Nciu8ZlbYJQO6UjianzbfWywDUQO2WOG2Em9ZHp0VAbXkXG1OrAglkrvPUyPqloGY9xrtt/uQn8yKYSNW6NUVf8dogH7oHuP0gnI3lbrblkrmf1u6gQiC0AEsS7O0YJGaDK5l6WxijI1oH9dJuGZgjC89CNDWriBnNsxii+RWCJ1GxIpeYXsTNgK0FneDWpOIJpwVemmunEfhhho/Agt2Gciit2BOAEbHgw3YbNBRQIVCEArVD9gsNmgvGfGQWZG3J3lO61JAH9IykHInkFYyK6BxfoP9PLqKaTFHrNgRAbTtrGi5DKTftmG6OCu8ZlaogJwVrK2ghn2EazrH99qKFSCfN66qasoBm23MrBgcMq4vJ0i0RXSxCI/cD7c83fzu5qxwBCUpAxEEoQMsLViUSgSaV/HkoPl8lralwdG/NUNie4GF8fblVvQXs0xkl0SsEDqOiBW9QjYLG+veAtZ6lRplIDurnT4mEAtzO50+3EgdgaUFs+LodBGxAzQboYIWK9zq3sMNyjkK1k6pSDV+nRWHvAyEuWkz8XRre1uPsrOikVjRoGxn177qOCsGh5vrVFKJ7azQG2uNt7NqdOipRQCZFVprM4n30wnEJpAykGYDNv1kVoTCRrAIqgzk0uOwvYl64cvM726hv04HGCkDEQShAyzMWIRCMDYRoFgxYMI1z2xMB7bPw47ClIIsjt6KJpiOLbWY2pjmYr+IFUJnEbGiV8hlzQp6EIn83aJmGYi/1U5dLJoLdo/OCsaOmJXR1WVTBjI8WnvVtZqRcdja2LXq3RJFFyt5JNLYWRGt3/ZUu61422KFqnBWHNoykO0tSPT5Dnh0UOXMCi9lII1FAFVDrAikbSnsZFa4lYF47QYSC6AbSHbbiDzNZFZ4bcUK5hixvf/jKhozj7WJzArl8lzuYmgU7VKu4RWnBETd/jzzXum2X+e1JGUggiB0gPlZi9FUhEgkuAnwk4MnOLU5K+GaAZNaehAr2s/q0Nm2HWNqY5rpvglyoeDEK0FwQ8SKXsG5CPWSBt+r1CoDiSfMSvemxzKQlUUolbyVcsCOA2NxFr00794JxMFxXwTVvrSWUFNJONw4s6KRs6JeMKeDI7jEE2YSp9ThdVbkczvtJZsh5qEMpCxWuAgijlhRmQURRNtS8Byw6bkbSCTWehmIM9EeHvF9V3/dQPI7QajV9PX7LwPx4awAjBgTVBnI+Xvh1HWowSEYHkOvupSB2IKOtC4VBKHd5LIl1laKgZaAgAlodMIaheDYya1oXynI1MY1SirEU/0BXMcIgkdErOgVDohYoaom7Eop077U6wRiwQ7J9FoGYtv99eI8LM55C9fELgOB4NqXujkrwg1Eh0adRDxlVuyUgSiljGhxSDMryGVrlwh4JeqlDMRrN5D4zpiwO3MsLbSeVwHGOZLs9xaw6WUiHo223rrULo1QTTkr+jyJFVrr+mUgYMQK386KovfMCkANj7g7IDygc1l44mHUuWeYP4yMuXcDkTIQQRA6xMJc8C1Ll2MDrMQGOStiReDEC+sMrl9qr1ixaUp3pCOI0ElErOgBtNY7tv39LFbU6zzQ1+/ZWVHu7OG5DMR2UszPmImgV2eF3RZVB5VbYVmNAxcjkcbOinqujEjUl1gBmInMIS0D0fkcxFqwyHsJ2PTaDaQ6YHNhzrQyDcJZASa3woOzolpArEksBsWiKcNqFsdt0M7MiqJlzmGNMhAAkv3+8nGgHHDrmaFRWFtuPV/o0QdNCcqtRqxQw2MeykDscyTOCkEQ2szCjEU0qhgZba6sshYX+80k15n0CsGSWnyQlZEbsUIeyqGbYHJ7iYSVk9wKoaOIWNELWJYpfQDv5RK9SIOWgtqrs2LJFiu8loHE4zA4jL74mJnUe7wfjrMiqDKQBt1AALNyW8dZoV2dFY3LQPQesSJxeMtActkWy0A8ZFaUnRUuIkC5DMR+LuZNJxB1JCCxon8QvRVQZoUXR4kL5XaezXYDyefRJRexxBGR6uXSNFsG4iezYnjU3MfvcarQ5+8xz80Nt5o/2M6KRiKIzopYIQhC+9FaMz9bYHwyggoFl1dxwV6Rn5JwzbaQWnqQUijK8sjNbdl/CM2ZzWmeGpAyEKFziFjRC1SsKOpNl3T/XqbexMiPNXtx3ntIpkNqEh57CMB7GUg8YcYVVBmI5VYGEkHXLQNxcVZ4DNgsT7QTid0dKA4T+dxOR5RmsF93umHrUn9lIM5zoefti7MAykAAz86KuhP7SiKOWNFCbsXasmnR6+Rp+KCcweAWeFv9Wq/eT99AW7uBADsBoo440yT6/L1w463lIFZGxsxrq9FzWi4DkYBNQRDax+ZGie0tHXhexaWBY6SyywxYh9P92W7GVh4hVCq0tYXp6c0ZLvUfYx/3LhT2GSJW+ERfuUjpj/6P+wqgHyonlvvZWVEnzM9MIHyUgXgt5XD2Pzaxs3+vzgqA0RR62aVG3CtWwVWsqOuQaOTKiETcAzZrOSu8dlY4aLSaWeGhdan2XQZS4ayIJ5rqllEL1T/oIbPCq7PC3qYFZwVrKzA4ggr5/1hRSVuscHvdOuNrUAbi9b2mTLHoS6xQjnOkhfalem0Zrlzcyauo3O9qA7dXuRuIOCsEQWgfCzPmcy5oseLCwHHJq2gj4VKe0ZXH2ppbcWZzho1oH0uxobYdQxAqEbHCJ/ruO9H/8LfuQWh+2CVW7M/MCl0q2pPuVp0V3kMyy1SGcfoROkbHgw3YdMusaBiwWXtCqZrNrDisYkU+h2ops8I+h0F2A7HdAnpuGlKTJgQ1CAaG3J0VhQZtcSvxINK4oVeXm+oEAnbAJrjnVpTLQBp1A9nyfFxdKpoMDD+tbm2xqZX2pfr8fQC7xApGxsz3lQb7lYBNQRA6wPysRbJP0TcQ3DQhF4pwrW9CSkDazPjSg6wPniEX9e9y9MKZDVPSeklKQYQOIWKFX5bmzff11eD2WSlWuE0+epWCPYGrk1nB1oZrIJ0ulcz59StW2B1BSPYZF4dH1Mh4wK1L3cSKOm6cRiUkHjIryOdAhcrH99UG8qDRcmaFM2lvlFlhi0eumRV2SUmlsyKoEhAw5Rbbm3VDMXWpVF9ArEIFkFnB2krTrpGdMhCX160tzKl67plkH1gFtNfHURaefGZWQEvOCs7fY94XT19XsV8jVjRsX5rdhmjMdIMRBEFoA7qkWZgrMHE0Gpy4DjzVf5SSComzos2klh4AYLFN7orTdjjqUxKyKXQIESt8opfslXgn+T4IspWZFfu0DMRZ/a/XDcSy3CdCa8tmO59iRbnNqc/yEUbHYW1lx9bfCq6tSxu0IG0kdHh1VjhtS+FwB2w2amvpBT/dQFxKB1QoDJEIOpc1wsH8THDhmgD9tjBXz43lNQgUAsqsWEE10QkEIOSIFW4tdx0RqV4ZSF+/+e7VyeXxudx9jAHz/9xkZoXWGv3QvXDu6eY14lB2VjQQK3LbUgIiCEJbWVkuYhWCbVkKO+0up0SsaCvDaxeJFDbbVgoyaG0zllvlUr84K4TOIGKFXxaNs0IHKVY4Nv54AtzS/XsVR4ioNTFKOhMIFyHGPrfKT+4E7LQ59evIGBkHrd3bBbpgVrBd6t7DjZwVDXIFPIsVFZO3xOFsXapLpZYDNlXIdqg0Etac59EtswIgFjfdQFaWzPMYtLMC6osVBY8OEPDmKGmA1ro1Z0XSbxlIg8wK8C5WeA1LrUApZcpdmv0MmL0Kywuoc8/cvd9ozAghbs4KESsEQWgj87PmfTF1JGix4hhJK8uRbGvXXEJjFJrx5YdYGL+tbSGYpzdneErECqFDiFjhA631TsbBWnBlIOV2dGMT+7cMpOysqDGJcFaAXSYQetFpWzrp79i2uKH8BnOOpswPrZaCeJm8hsP1yzksC9VC69I9bgLbWeFWdnPgKIcvttgpIRpvLFb4WY2PxU1mRdBtSwE1YIdb1XvPaOR2qqYcsNmks2Jrw0z8W8yscO1i46UbiDMeLxQ95o9UMzRqQjKbQJ+/F6jKq3AYGUM3cFbo7LZ0AhEEoa0szBQYGgkTTwQ7RbjYf5wzm9OEpI9E20ktPkA2Mc5mX3sEhamNaS73T1JUMo0U2o+8yvywsbYziWmHs2IstX+7gRTqT4yU19VOe0LHeMrXoVUiifoX34d68ct93Y/RcfO91ZBNL3Z7t4DNupkVxlnRSHjQuRpiRbHoLnIcNMoOpRbKQMC4DPJeMiu8iRXkssG3LQXTuhSgXrtjy4ezotXMCsed1GQZiNduINqtG4hTBrLtswzET2YFGAdJk44s/dA9Jmj1SI3XwvCoSxlIVpwVgiC0jUKhxNJikYmjwboqSiguDhyTvIoOkVp6EGhnbsUMVijCtaS/63VBaAYRK/zghGtCsGKFbX1WYxOwub4/V8TtSYSqNTHq97jaee0pGJvY6Qzgg9Brvg919iZ/d7LFCr3cqrPCfaVdRaL1xYqiVX/1OxI1pSqlUv3j73FWOGGFh6wUxFmVbyWzAszE3c1ZodTuvIF6xOLGLTA/Y1bv/eaqNMIuA9GBOCvsMNBmnRX2+6FqOWDTrQzEFpEadQMBdDszK7DbjDbxGaCLRXjk/tquCkCNjDUWQaQMRBCENjJ7bRtdCr5l6VxilO1IQjqBdIi+7TmS2/Nty604Y4dsXpKQTaEDHAqxIrDJv52pQCyGXl8JZp+wEyo3NmEmGI1WdXuVRmUgSW8TCH35Apw6G/TI6tM3YFZoWy0DKa/ONl8G0rAbCDTOrcjndrsJErZN/LCFbOYqsl9aIRpDuwVsesmrgN1ixdhEsF0cBtwyK8zrraaAWE20xcwKxw0w3KSzIu4xYNN5Xup2A2kus6JuGVY9hkZgbdW0PvXDxcdMa9WqvIoytlih64mTuayUgQiC0DauXd4mFIKxlIRr7mcUxl2xOHqOUhtKNU5uzhHSRZ6S9qVCBzgUYkVQK8zaKRc4dV3AZSBZM/lxLvTrTT56mQZlIF6cFbqQh9mrqJNTwY+tDkopE7LZqrPCy+qsW8BmI2eFs0098rldOQ3Kmcy4TfwOGnnzeFWrmRUxl8yKokub2qp96XwePTcdbAkIGAdNONIgs6JB6G01rWZWOHkzTTpHVDRqzqmbwOa1G4jXMpBmMyuGR0GXfGcM6fP3GFfOLU+vs98xM6Z6nwHZ7R0XiiAIQsBcu7LFWCpCOBJcy1Iw4ZohXeL05kyg+xXqM770IFa0n9XB4BcBo7rI8a0F6QgidITDIVas16np9svSvOlxf/w0rAcXsEnWrJapcivCfZhb0bAbiF3W0Wi189pTUCp1VKwAYDQVQBmIhwwDt9alrs6KBvkTUgZiCCqzIuqWWeFTrLCdFYG2LcUW2wYGg+kG4pRVNJtZsTQPA0M7QlkzxD10sXHrBhKNmefGbxmIz8yKcotWnyGb+vy9cOo61OBQ7f067UvrdQTJbkMTZXKCIAhu5LIllhfzpALOqwC4MHCc41vzxEuHLEuri5RzK8bbl1shHUGETnBIxIqAhIXFebNyODQC62v+LcD1yGWNdd9pRbgRkLjSSRqUgahI1EymG6x26ssXzA8nO1gGgj05aDVg00sZSJ2ATdP2tMHk16OzQlUHbMIhLAMJKLMi5iGzwuPkVsXilBbnjKtoog0f6v2D6HrvF011A2lOrNCLc/5bB1eTSHooA8lBJGpazNZAKWVKQdqcWVHuerK64vkuOrsNTzxSN6/C7NcWK2qEbGqtjZgjZSCCILQBp2Vp0HkVYJwVklfRWWKFDYbWLrYtt2JqY5rZ5DhbhYDmQoJQh0MiVgQz+ddL86Zjx9BIUxbguuSyxsbviBVe2+71ELpRGQiYfIhGjpErF80kM+DVZ1dGU7Cy1FquiT3hUa5iRY03dOdv9Va/y2KFD2dFObPicDkrdICZFbhlVvhwVpTswEQVdBkINHZW+OkGEmlNrGBxvtxCuGniCffWpYV8/RIQh76BJspAmsisALSfjiCPPQhFC3VrI7HCODZqti8t5E3QrpSBCILQBhZmLOLxEMMjAWYrARuRJPOJMcmr6AKppQdYHr4RK9ziIk4NnJKey6tNXjcIgkcOhVihNwJyViwvoMZSMDhifg/IsaGd0DQn3X9fZla41Mf39aMbOSuuXIQTZ7x1WAiSvgEzYWl2kgaeuoHUDdh0KSFRXgM2a5SBaJc2kAeOfDDOCuUls8JrxkHlWNrkrKifWeFdrFChkHkNNpFZobWGpTnUWIvOinjCtXUphXz9TiAOLu81u2g2s6KJMhD90L3mubjh1voblctAauzXOTfirBAEIWC01szPFjh2MokKBZtX4XSMmNoUsaLTjC89iA5FWBq5OfB9Ox1BLi7vw6YAwr7iUIgVQYgK2iqYC8ixiZ32fEGFbObsdnROZkVQjo1O0qgbCDR0Vmit4fIFVCc7gTg4q7StdGDxFLBpWpfucXAUXGrmXcpAtNY1nBUeOyscNPIBOisadMXQPruBlGmDWKEGhuo6K7Tz2vLirAAjAjQj2m2sGSdKq86KhIfMilzO3VnRVBmIz8yKRNK8zvyUgTx8H9xwbnfJVvV+ozEjQNVyVjiuE3FWCIIQMJvrJbLbmmMng8/EuTBgxIqz4qzoOGMrjxIq5lkYuy3wfU9kV0hYOS6tHLJrTaHjHBKxIoAykOVF0HonswLQgYkVZrKpYnFzIb4vAzZdVnH7+utbs5cXTOlLp8M1YWcy2cj274YjJDTKMXBWbqtLQRxnRbTJgM2iZazhlRM4yaxobT8xlzIQnwGbAAyPtRY+WQ/bWVGzjMlyeW1VE402J1bYnUBUq5kV8YTra1YXcq7Pr0r2+W5d6juzAuz2pSueNtWlEsxcQZ2+3n3j4dHaZSC2s0K6gQiCEDROXsWJU8GLFRcHjjOcX2c0vw+vbfc54VKB0ZXHWBxr4OhrkhCa05szXFoRZ4XQXg6JWBFAucaSCWFUYxMwNGzvd6X1/QLksjsXoH2DsLmfAzZrT9hVo8yKyxfNNh0O1wR2nCCtOCu8THic26pDNt26EbgFbNbqgOFM5g5ZZgVOZkWrYkXUJWCzaHlfiXfG0o4SEDCZFUWr9nNdLgNxcSI4uD3ueizOm+8tOiuUB7HClIG4ZVY0EEar0F7CcesxPIr2WgaysmiejyMecktGxmp3AymXgYhYIQhCsMzPFujrDzE47M9l5oULA8fFVdFFUksPsj54mlxsOPB9n7HFipZy3wTBhUMhVuggykCW7QvysZQpaQiHgy0DcVZd+wfQ+9JZ4dJSsMEEQl9xOoFMBT8uF5TjSGgps8IJyWxGrHBpe+oWsJnfO0FXoZCnVeoDR96UCNTrFOGZaBzy+fofvr7KQMzrS7VLrCh3EKpRClL+n/RaBuLiKKmDtp0VLXcDiSfdMyuqS55q0eejDKTZzAowuRVeAzbnTG2v8iBWqOE6YoUjSImzQhCEACmVNItzFqk2dAGxVIjL/ZPSCaSLpJYeAGChDe6K05vTrOdLLG1LS1qhfRwKsSIQZ4Wzejg6YdrjDQ7DWkDBnbncjljRoAa9pykUQIVQ9S76+/phe8vYoau5chFSk8a+3WnKZSABZFY0msCG65RzOJ1E6nYDcQnYrCFWAHZY4WETK7KtuyrACAy6VLPVLOC7GwjQti43asAWK2q9Z/jpBgIQjZpsHr8szRuhoW/A/30rSSTdBba8h24gyX4o5NFeBMgmMysAk13ktQzEFiu8OSuMCLLnvTIrYoUgCMGzslTEKsDE0eDFiqt9R7BCEekE0kWG1i8RzW+0pYXp1IbpCCKlIEI7ORxixUYAZRVLCzAwhHLs9kMjgWRWaK33OCv2bcBmoxXcvgGT+ZHd2nOTvnIBulECAjudBVoQK7SbOwJ2xIrqzArPzorGYsWe0L544hCWgdgtgFulXBpUZ7LbTDeQdrQtBegfMt9rOiv8ihXNlYHoxTkYt0XcVognIJ9Dlxr0bPdUBmKLJl5KQVrJrBgegc11bwLP3LQ5xui4h/2Om/eJKgFKSzcQQRDawIKdV5E6ErxYcdEO1xRnRfdQaMaXH2Jx7DaCLtY47XQEEbFCaCOHQ6wIogxkad6Eazr4WFVriGUHJNoXoKp/0IRN7jfcJhF9/eZ7lT1b53IwO406NdW+sTXCmUwG0brUk7OiamLjtrJrT6J0vTKQejkN8aRpiXuI0JUOpVZwKw2yCp4FADVgxAR17FTr46qF7azQtQRZL11qKmk6s2Ku9RIQgIQTDNvgoiefa9hNA6j7XlOTVjIryu1L3T9f9Pw0pI56as2snPal1SGb0g1EEIQ2MD9TYHg0TCwe/JTgwsBxoqUCJ7bnA9+34J3U0gNkE2Ns9h0PdL+D1jZjyYg4K4S2cjjEinzOTGRaYXnB5FXYqMHhYMpLclWrZf2DZrVuv4XVuEzglLPaWS3EXLsEuoTqRicQCLh1aYMJbL3MCreVXa8Bm9UTuMRhzawIoAzEzW1TLHqf3J57BqP/9bdRp69rfVy16HcpA4lEvDsemsysYHEe1WrbUtgJjmzkCMrn3buB+BErvAiN9Y4z7IgVHnIr5qa9lYAAOPutFiukDEQQhICxCprlxWJbSkAALvYf4/TGDGFdowRY6BipRTu3Yjz4UpAzI3ERK4S2cjjECoCNFoWFpXnTCcTBdla0LCo4E8rKMhDL2n8TzYJbGUgdZ8WVi+aHbpWB2BMf3UrrUg8hfape61I3q34TAZuAnVlxyMpA8tndXVGaxRGw6glEloXy6FZQoRCxW25vfUz1aBSw6cMBApj/X5+ZFTq7ZQTIsQCcFc57YKOslULOvQwk2YSzoqnWpbaosLrScDOtNcxNew9ZtZ0VujpkM7cN4Uj9fBtBEASfLMxZaA0TbQjX1Ji2pVObUgLSbfqyC/RtzbIwdlvg+z4zEufKap5iaZ8tsgr7hsMjVrTggtBbm7C9tbcMxCq0PiHcI1Y4K6X7rBTEtQykjrPi8gWzopqabN/YGhFE61IvE55InYBNV2dF44BNXVes8BBWeNDI5QLJrFCeMivaswrlFxUOm8l5XWeF94mtisb9l4EE1LYUQJXLQBq8br12AwG018wKpaCZDjLDI+Y4bs6K1WUzbs/OijplINltcVUIghAoC7MFQmEYTQX/mbYcG2ItNiBtS3uE1OIDLI7eQkk10f2qAWdG4hRKmmvrLSz6CUIDeuOKG0in068C3geEgY9kMplfrbr9ZcBfAnafS/4ik8n8oucDrLcQsrnktC2tuCAfHDHf11aglS4W9oW5qsis0GAmH0FYqzuEti3ndXEmEFubVJrSTbjmmdbbTTZLEK1Ly3XvDSaGzm17Wpe62NC9loFUZTWoeOLQZVaQy0IqgBX+8muijoDlpxtIJxgYrB+w6eZCqCQa9V8GYrctVUFkVriUgehS0Zx714BNn86KsI9SmUqczwC39qXzJi3dS9tSABWNGtG62lkhYoUgCAEzN2MxPhEhHG4xILkGFwZMPoJ0AukNUksP8NSpb2Nl+AbGVh4JbL9TI2YB4dJKjlPDAbhbBaGKnrjiTqfTYeADwCuAK8DX0un0pzKZzENVm34pk8l8dzPH0OurNP1WvLwAgKrMrBgaMaLC2gpMthBYU054ty9CG9Wg9zJuE6Ma1mytNVy5hHrBS9s8uAYE0bq06KUbiK1kVzkrtFt7yXqODIeGmRWHrQwkhwqkG4jzmqjnrCj0jLMCgP5B9GYNMbbgIiBWE42B5U+s0AE6K8oT8Xoim1My5dq61Gc3kCafSxWNGseYi7PCV9tSh5Ex9Mru/epcVjqBCIIQGNtbJTbXS5y53oeo7QOnE8gZu72l0F3Gl8+DLrEwdlugYsXJ4RghZcSKbzoT2G4FoUyvlIE8H3g8k8k8mclk8sDHgNcGeoQWMivKF+S7nBXD5vv6SvNjgoqVcXuCNLBPxQrLpQwkkQQV2l0GsjhnJhQnpto+vLqEI2ZcrWRWWB6s5PUCNt1KSOp1EXFoVAYimRXN4doNZH84K7TfzIpYbEcQ8MrinDkXTn5DK9gTcV0vs6Lea72aWMz833h1VrTyXA6Purewnps27w1+cj2Gx8RZIQhCW5mfMe/3E5PtycG5MHCcye1F+ouHzOXZo0StLUZWnww8ZDMWDnF8MCbtS4W20StixQngcsXvV+y/VfOidDp9bzqd/pt0Ou39vy0cab0MJBwu1ygDJrMC3C9UXdB7nBVmVVDvu8yKxqu4KhQy5TKVEwg7XFOd6lK4Jhj7dyxe3/LvBS9W8nA9saKxK0MpZSacbq1Lq4WiRBIsa8e5cRgIKLPCOZd1Q1f9dAPpAMruILQHyyX0tpqI6QbiKzR4aR5GU8GUcTnvgdmt2rc7z4dLGYhSypSCeHVWtCJWDI24BmwyPw3jRzyHsoLdaaRWZoU4KwRBCIj5WYt4QjE43J6pwKWBY1IC0mOklh5gZeg6CpEWytdrIB1BhHbSK1fctWZ51VfMdwNnMpnMRjqdfjXwSeDGWjtLp9PvAN4BkMlkCA2PEMtnGU6lam3uyurmGvnxI0wc2QmB1KMjzAF9xQIDTe4XYCsaYR0YO3accCqFHhpkDujXRfpb2K9XIpEIqQCOs6g14f4BRhrsa2FwiGixUH4eNpbm2FSK8ac/m1AruR8tMhePkwiFGKozdrdztB6Lsh2NNtymsJpiCRjs6yNRsd1WIs46MH7kKKGh4drji0ZJRiMM1tj/eiTEVizGxJHdq7ZbY+NmvwP9hAaG6o4rCIJ6DbWCLpWYK+TpGx1t6f8RoFjMswAMxmMka+xrtmjRNzTk+TjtPj9rqSNk7//6nmMsK9CJJGMej70xMsymLpEaHfU8sV5aXUIdPcFoi48vEokwfvwE88BAJExfjf1ZuU0WgcHxVM3npZKFgUGiRcv1PX81EiYfizX9/KweOUrh8fMN77+4NE/o5Blf52j9+Em2/ukfGB8bQ4VCRCIRIlaB8MTRhu+xgiAIXtBaszBrMXG0ycweF7KhKNeSKb5p9p7A9y00T2rxAR6/7ntYGLuVY3NfD2y/UyNxvvLUOluFIn3RYAM8BaFXxIorwKmK308Cu+TYTCazVvHzp9Pp9P9Jp9OpTCazUL2zTCbzIeBD9q+61DdIdmGOwsKeTT1RnLkKI2MsVN9/YJCtmWtkm9wvQGnJ3HdpcwuFvZ9YnM35WbZb2K9XUqnU3sfVBMXsFsWSbrivYjxJcXmp/DwUH3kQJo6ytLkFm3VWUzuAjkTJrq2SrzN2t3NU2lhHh8MNt9HrximzvrzMRsV2JXtVdnFtFZWv0/EjHGF7fY1cjf2XVlYgGt9z7JJlWqQuXruKGmtvQnNQr6FWcBxKW8VSS/+PAHrDrMivLy2yWbUvXSpCqcRWPu/5OO0+P6VwFL21yfzMzC6Robi9BSjPxy7ljXtnYeYaKuFNPCzOTqNue1bLjy+VSrG4ac77xtIiWzX2p2dN3fNGLr/nedkzrlhi13tNPUqbm2gf52jP/eNJ9NJi3ftrrSldu4w6fZ2vY5RiCSgWWbj4JGpohFQqhbW5QTEUCvS1dPx4C3lLgiDsW1aXi+Rzmomj7SkBear/KFqFpBNIjzGy9gQRa5uFsdsCFSvO2CGbl1fz3JySckUhWHqlDORrwI3pdPpsOp2OAW8GPlW5QTqdPppOp5X98/MxY1/0tPeh4ZZal7I4jxqtsZo1ONJyGQhOfXZlrX09W3cvU/BgOe8f2G3NvnIBTnavBKRMLN5669JGnUCgXDawpyyj4BKwCcam3ihgs1YNv1tY4UEjbz9OtzwDL0QbZFZ46fzSaZycm62q94xCE5kV4Dm/RRcKJlfBTxZDA1Qkav5P6gXDeiwDAbyXgViWv3NUzdAo5LZ3yvmq2Vg345jwEa4JqFrtS7PbO6UygiAILbAwaz7LJibbs2ZZ7gSyOd2W/QvNEdJFxpbPszgWbG7FmYqOIIIQND0hVmQyGQt4N/AZ4Lz5U+bBdDr9rnQ6/S57szcAD6TT6XuB3wTenMlkPBVXq4Fh2Ggus0KXirCyuDtc02FoBNZaEEHATCYjEXOh7tA/gK7VirCXsTy0SUz2g53FobPbMD+DOjnV/rG5EYuhW21d6mabLwdsFnf/3cmwaJSBEIk2DtisMUF3WuFSL6zwoOFkdwSRWVGetNf40C2LFT1kc3Q6CFW/Z/jOrLC39Rqyuex0AglGrABMJkO916zzP+rWDQSMWOEhYFO30A0E2Mkxqidaz5lVRa9tS8uM2GJFZVvUnARsCoIQDPOzFoPDIRLJ9kwDLg4co8/aZiLr0tpZ6DippQfZ6ptkKxlAFy+bIwNREpGQhGwKbaFXykDIZDKfBj5d9bcPVvz8fuD9Te18cKh5Z8Xqiplg1hAr1NAI+tITze3XIZfdO8HqHyxP6vcNhbzrCqXq60c7q51XL4HWqFNT7R+bG7F4/c4PXvAy4XEmt7W6gbiFczYI2NT5XO3Jm7MCe1jal9rCggqiG4jTIabWa8J5/nqoG4gaGDQBP3vECmu3COpGI0dJLewuSSqItqUOiWR9N5DXbiCA6htAd6AbiBoa3WlhXUOQ0PNNtC2FslihVxZR2C4WyxKxQhCElilamqV5i6kbAvi8rMPFgeNMbUzXDKQTuktq8X4AFsZu4/TVzweyz5BSnBmJibNCaAs94axoO4PDkN02F3x+WWpwQT400nrr0lwWErXEiv3orHCZGPUNlFuXarsTSE+UgURjLZWBaMtyX2l3JkTVooOX9pKRSP2uHnXLQOzXVJvLQPTMVazpK209hidywZWBmA4xsX0jVpSdFdXvGYW8L2eFckQvy2MZyOKc+SFgZ4WuI7CVu7NEPTzHyX7Y9iD4Fj387zZi2G7ZulZn9XBuxrQ1Tk3Wvr0eTitYu32p3rYzfaQbiCAILbK4YFEqQepoez7HSiguDRyTvIoepX9rhkR2kfnx2wLd75mROJeWs/46igmCBw6JWGF3Q2jCXaHtAExqZlYMw/ZWSyUEOre3Dln1D+wrsUJrbWdWuNiz+/pNa8RCweRVJPuDneg0S6uZFV7aHzoZB7WcFa4lJP7LQJxJTd1a+oAoffjXWf/gf2vrMTzhiBVBTeaisdrZDb2YWWGLFbq61M2LEFZJ1F9mBYvzZiI+Ou79GG4kkiaboRZOe2GvZSDOe00jii1mVthlILpe+9L5adPa1UvORgUqGjVZJHYZiHbauYqzQhCEFpmfsQiFYHyiPWLFTHKcbDgubUt7FIXpCrI4eis6QO/LmZE46/kSS9t1MtYEoUkOhVihBuyWkBtNlILYzoq6mRXQWm5FrsZkc8CUgewbdbJogdbuF/19A+b79gb68gU4eaYtLbP8omJx7xO0WniZFNYtAyl4y7uoF7BZ6/UDFWUg7XNW6HwOrlzEuna5bcfwTD7AzAowE/dCg8yKXnJWDNRxVvgVK/xmVizOwfCYv1ITN+KJQMpA6Os3391CNq0WMysGhkzJUB1nhZ6b9l8C4jA8hl7Z7axQIlYIgtAiCzMFRlMRIpH2XH9dHDDveVMbEq7Zq6SWHsCK9rM6FJy7WUI2hXZxKMQKBm2xYr2JkM2leUj2oZyL3wqUI1a0UgpSKzStf9BMavdLJwdn1d+1DMQ+h5sbcOUSqhdKQKD+xNQrXiY8dctAPKzsujgrVANnRVtfQ5cvQKlEaXGuuRKrANHORDaIzAqo76ywxSbVSwGb8aR5/VVnVhR8ugac15FHp5hemocg8yqgccCmn24gSfu9xi23otXMilDYOPdW65WBTPsP13QYHit3Ayk5bhPpBiIIQgvksiXWVktt6wICJq8ipIuc2ppt2zGE1kgtPQi6xEKApSBnRsx1p4gVQtAcErHClIHoZstAarkqYEcEaaV9aS6317ruOBD2SymIM1F1mUQo+3Hpp540Ik0vdAIBuwykxYBN1zKQyM621fd1FTrqB2y6lYG0M2BTP2WHy2q940DqFgFmVpj91OkQ04POCqWU7caq1Q3ExzgdsdFzwOYcKuAyLhVP1n/N+ugGUhaXnayHerSaWQEwNFqzhbXe2jBdqJoUK9TI2E4ZyLaUgQiC0DrzM3bL0jblVQBc7D/Gyc05YiUpB+hVYoUNhtYvMT8WnFgxFA8zmoyIWCEETu9ccbeTsrOiyTKQemKF7azQayvNV33lsjttJm3UwJBJmN9c741MBzecSYRrGYg9gXj0QQDUqR5xVsRaC9j0ktKvlDKToirRQXsJJo1E/LcuDYeNeNTO1qUXH9/5eWEWJo+371huOK1L255ZYT8PvZRZAdA/uKvdsS6V/Ocx2GKjLuRd3890qQjLCzD+TU0MtgEJlzKQUMhb2UZZrHAJ2Sz67JhSi+GR2oL1/AwAaqJJZ8XIGKwuoUslESsEQQiE+dkC0ZhieKR97sALA8d52uqTbdu/EAyppQe5cPpVWOEEkWIw14pTI/GeFiuKb39N4PsMf/hTge9T2M3hcFYk+81FbpNihaoVrgkwOGK+N9sWFcwqYvUEq99xVuyT9qU+y0D0o/ebOu/jZ9o8MI/YrUubzgjxWvcejpg2uD7vq9wCNutN0OOJ9jorLj0OJ8xzqO2JWdcIOrMiFq9dGuQ8fz3krABsZ0VFmVu5a0kzrUs9lPSsLNstnQMWUxu2Ls1DNO4t5yZpv4d6KQNpJbMC0760VhmInnPalh5tbsfDo1AqwcbqTlCudAMRBKFJtNbMz1hMTEZQofbkVaxH+lhMjEi45j4gtfgAOhRhcfSWwPZ5ZiTO5dU8xdI+ydwT9gWHQqxQoZBxV1Sn5bugczlzn7HaYoWKx00NcdBlIOV0//1VBuKaeO+Ut8xchclj5vz1AtGYKWWoJwi44aUMBGyxIriATV0qmvvXK31IJNvmrND5HExfRj3j+WZCvNDl2tS8Uwbir+tCXVwyK1qd4AZO/+BucdMRHJoSKzysiiyZtqVBl4E4AZu6VNp7WyHn/fl1hNEtF8G3xcwKwIgKa8t7xU5HrGjSWaFGxswPK8virBAEoWU21krksppUW/MqJFxzvzC6+hihYp7FsacFts8zI3EKJc219RZKqwWhikMhVgAwMOQ/s2LZblvaKERuaLhpsUJrXcdZUSfdv1exPE6MKkJKeyZcE3YmQM3mVhQtlJeygEgtsaKFgE1nvPXEinjCtMZtB3a4ppq6kfDEUfRCl50VuSzEPK66eyEWq53d0IOZFWBKx3a9X1g+wigdot67gehFO6MkFbRYYU/G8zVEtnr5LLVwOqS4hSp7FRobMTRiXhfVLo75adMtpVk3xLAtVqwuoZ2uJhKwKQhCk8zPmPf2iaPtK2O8OGDKQcVZ0fuESwXGlh9mfvz2wPY5JR1BhDZweMSKwWH/5Rp2aKCql1kBMDTy/7N333GS5XW9/1/fSh2r88z09OTZmdkc2QAsOSigiHDhXEBQQUBUzIqo96dcvepevRfFa0QwYIKjLrIqiojIkjfnMDM7sSf1dM4Vv78/zqnump7q7qrqCqeq38/HYx7dXfFbZ6qrz/mcTyircSfgHYBms40frMgd1K1TBmKiseWDp6A014TlA6By+1YUe3a2QM+Kog6WVmuwud4ox7VS6jdoqbnmnisIDw7B6EhVnqdohTKUNsBEVwlWZHI9K4IVrKAjDrMzy2f3U2UEVZYyK4oI2o35/99rfTaWI/d/WCgjKJksOvhiojHv/b/eZ3MxDW7XszTC+tJSEG9saZklIOD1rADs5LhXBmJClcscEpFN5+KFNB2dIdo7qrfrf7xzO72JaXpS65TgSSAMjD/BXMcQCy29FXm8nd0xQkbBCqmsTROsMPHukkeX2tyEg9V6VoDXt6LcMpDcgeTKBpvRqHdZwwQrSkg597MrApVZEc2NbCzzw7WUMpCVQYdUqojMilUabK4XrGhZo1nhRp046gUAewcIbx1aaiZYN6WcdS/GahNiAppZQWdu3LGfSVNsH5l8ufdhUcGKi9DZVX7WwGpaVx+5a1PJ0g7Wi/nMr0TPim5/J2/l34GR8+WPLQXo8h93apzswjy0tlUuc0hENpVMxjI2kq7qFBDwMiv2KauiYQyMew3vRys0FSQWDjEUjylYIRW1aYIVdHbBbBmZFcZAb/+qNzEbKANZLVgBeE02G67BZhEHErm+Fbv2Vm05pTJLmRVlloEUe8ATiRYeXVpUZkWZwYrF6pSB2JNHYc8BjDGEt22H+Vnses0Mq8gmFyvbfDAaKxi8sukA96wAyPW58d8vpUy6MMb4r3v93wM7PlKVSUUmV+ZQqHyp1IBUZxd2vc/8SpSB+MEKm9dk0yYWYWq87H4V4AetO7tgctzrWaHmmiJSpomxNJlMdUtAUibMcPtWlYA0kPjsaWKJSUb7KzfCdE/AJ4JI49k8wYp4N8zPLR9sFGN8FLp7197h7+rx0q+zmdVvs5pcqnOhOuT2OLZhMiuKKwMBvMyK9s61s1VqbalnxQbKQIqaBhLGFuhZYda7r99g87IGfv56zSoHcKalOmUgS80191wBQDg3srSeTTb9nhUVs2qDzWBOAzGdK0rHiu0js1I0Wtw0kLGLa/fyKddaZSCp4stAAO+zeXr1YIW11vv/3HAZSC6zIq8M5GJuEsgGx/l29y6Xgai5poiU6eL5NMZA/5bq/e063bGNdCiizIoGYvCyK8b6rsWuO7S8OHt7Wjg/m2IhVaBRtkgZgrXHXU3xLu/r7PRSLfB67PjF9Wuyu3rAZr3H7Sqx5stvIldwKkZnvGHKQGwJZSBm35WwdShY6cy5g9xi0t8LyRQx0QP8BpsrR5cWUwbiX59Z0YxzKbNilQO41iqVgeSaa+45AOQHK87D7v2Vf75iVLhnBbEYpFPYbNabJpST61kRsGAFHbnPN/8zo5xpIOCVRK3ze2CthbERzLW3lLjIIuQOyAu9b5MJL9OgSKazy8sAWs3SZJdwCQssoL3Dez9MTS5f5k8C2VAZCHh/qybHsaGQghU15DjOa4CPAmHg467r3rXi+u8Bfs7/cRb4Idd1H63tKkWKN3ohTU9fmGisevtex/3mmgpWNJaB8Sc4u/1OpuO76Z45ueHH2+M32Tw1leDKAf3dko3bNJkVJt7tfVNKKcj46NrNNfMfd40zeKvKpegXyqxo0jKQ0H//AULv/onqrqdU0fIzK6y1JTTYLNB7opj75g44V2YFFdWzovJlIEsHgCsyK2w9Mysq3bNiqY9Jgf8vgGKmv9RSZ27csd+joZyeFbnbrxe0m53xtndVMiu8z0JbqHwpmVw1i6ggv2fFZRlJOUv9Rzb2f2mM8YLW+WUgS2NLN9BgE3986dSEykBqyHGcMPD7wGuBa4C3OY5zzYqbHQde6rruDcCvAh+r7SpFipdMZJkcz1S9X8XxziFaMwkGF8aq+jxSWQNjub4VlRlhukcTQaTCNk2wgk4/qFBkk01rrdezom+dcoWlTvCTpa8pd/aw9fKdUNMR97I1GkEpZSBBtJHRpblMiaLKQAo02EwXkZWRu35loCMXrCiUmQPegV8yWV6J0lpOPrfUXBMg1NkFbR1wsZ7BisXSDmTXk3tPrOxbka7Q2fhKWzlBqNwykFgLdr0g6bg3CcRUoWfFcoPNAsGKVKK0MpB4l5c9sTBf+PpMBZuldvViZyaXfx455zUgzRvXXJbufpiewM7PKrOidm4Hjrque8x13STwKeAN+TdwXffrruvmolPfBHbWeI0iRRsd8T7rtmyr7j7aic4h9syeI8QqAWIJpNbkJJ2zwxVrsrm1M0prxHBCwQqpkIDlMleRXwZipyeLq8qanfEOwospAwHszFTJ1V42F6yIFWqwGfeaFlobrJKJQspNOQ8K/yDXphKlV+yVcsATDhcoA0kXXwayIlhhE0VkVoBXItHWvv76ipTfXHPJlm31zayodBlIdJUAViUPcCtpZYPNVHmZFebgNdhv/Cd2YR6z2nsmN7a0mj0rCpaBlDoNpMf7OjO1NIXoEpVsltrduzTqGnJjSzdYAgLQ0wvZLJmRc5jtuzb+eFKMHcDpvJ+HgTvWuP0PAP9a6ArHcd4HvA/AdV0GBgLUq6lCIpFIU76ulRr5dT77+AjRWIgDh7YRCq+9l1PO67wAZDEc7xziZRce3MBKpV4Gxp7g1M5XkAlFCWeL6FuVf98C75f9A2c5O5et6e9MMe/dauyl1vpzoZE/i8oVsD3uKsrtuBabreDveK5XBrL0uBvJrCg4DSTuHdgmFqC1cgeaVVHKNJAgyqX8l9Ngs5RRlpHI5c9RTL+LpcyKEstA8s9SVyhYsdRc86YV++4D2+DsqYo8R1mSidUzTMqxlFmxIlgR0NGlJhz2slv8zApbZmaFeeErsV/+N+wDX8W8+NsK3saO+Qfl1cisyJXEFSwDKa3Ux8S7vPN7M1OwrUCjy0r1rABMVw/2xJHlCy6exxzaeEqt6e7D4pXFmELlglINhY7mCp4qdhzn5XjBihcVut513Y+xXCJiR0dHK7LAIBkYGKAZX9dKjfo6rbWcPjlL35YQ4xPrl2eU+zovtPWxEGll34z6VTSigfEnOLHnNYz3XMmW8SdKum+h98uOjhDfPD3DxYsXa3bCtV6/o7V+zkb9LFrP0NDqDck3TxlIRyeYkLfjWozcWbL1ghXtHd6ZuQqXgdDhj/icbYAmm7kDugbPrCivDKSEHgYrRpcu97soL7Ni/Z4VuQO/CjbZXNFcM8cMDMLoCDZbp+7PicXCGUplMks9K1YGl9JgQphQwMpAwOtbsdEGm/sOweAO7Nf/c/XbjI14763cGOJKikS84MGKzAprbenTQNbrU1ShnhWAl1kxPYXNZrCpJEyMbmhs6ZL8ZtAqA6mVYSA/jWUncNkRmOM4NwAfB97guq6K9CWQ5mezLMxlq14Couaaja1v4hlC2VTFSkGu6GtlJpllZK60LA2RQjZNsMKEQt7OfLE9K5aCFWun2hhj/EZuk6Uvao0ykOVRhA3QZDPlZQcEvlxlNRsZXVrKmfZw+NLsiExxaeimzAabpmWN+v8yrWyuuWRgmxdMyR/fWCM2m/Geuxo9K1YGsIptploPHXHs3IoGm6VmVhiDecEr4OhT2JHCO53WH1tajd93Y4zfGHZFgC2dBmvLClbY1T7zK9qzomd5KtToBW+tlSgD6Vawog7uBw46jrPPcZwY8FbgnvwbOI6zG7gbeKfruofrsEaRoly84PerqEFzzXA2w675OpaDStki2SQ9k0cY7a9Mk81D/hSQw6NVmEgnm86mCVYA0NmFLXYayPiot2NczKi8rh5sOdNAEoveQX6hneX2FQ3zgiydatwSEPAO6Iwpb3RpkQEHALOywWaxZ3bXarAZDi8HM1ZqrUJmxYrmmjlmYJv3TT2abOZ6d1SjZ8XK90QmwMGK/MyKcqeBAOb5LwdjsN/4UuEbjI9UpwQkp7Xt8gDbes1kC1ma1DRZ+Hr/989UoGeFyY2tnpqs3NhSgO6e5e81DaQmXNdNAx8APg887V3kPuk4zvsdx3m/f7NfAvqBP3Ac5xHHcR6o03JF1nTxfJq2dkNHZ3V39493DrFzfoRYNr3+jSWQBsafZCa+h0Ss+BHhq9nT00IsbDgyVvmJdLL5BHSvu0ri3aWVgfQVefawq6f8MpDV6pD9hnl2bqb0po+1lko2bgkI/tncaKwGmRWRS8pAij77vVYZyFrZBLn3VqUzK1Y21wTY4gUr7OgFzMGVU/6qrJwD2fWs1mAznQ7eJBCf6Yhjz5/xfih3Gghg+gbg6hux3/gS9vVv87LS8o1dxOy/coOrXUNL2+WjS3PlONESelZEY97vwGp9ikoINK4rF1SYnlweW1qBYIWJRJf/bimzomZc1/0c8LkVl/1R3vfvAd5T63WJlCKbtYyOpBjaGat65uvxzh3cOKEko0Y2MPYEhw+8hdG+69hx/usbeqxIyLC/t5UjY8qskI3bXJkV8a7SykDWG1vqMxspA1ntAKuz0TIrGjdYAXhp/2X1rPAOCgtmx6wUWRmsKDLQsVaDzbWCFX4vFFtoskIZlpprriwBgeUz7RfPV+S5SrLWVJ1yxdboWVFMf5J66Oxa/rzY4IQe84JXeL0pjjx5yeV2ccF7jr4qZlYUKgPJ/W6WmsEV71o9QF3JZql+ZoWdmvAyK9o6lie0bFS3n7WhzAoRKcHEaIZ0CrZsr+55ycloJxMtXepX0eC6Z04QS05zsf+GijzewYFWjo4vks5qlK1szKYKVph49+rN1lYav+idYSyGn1lhbWm/kDaxsHpmRa55XcP0rGjgMhDwDk5XHpgWo5Txh5HIpaNLl85+rxesKDezwj+4KTRZoRyrNNcE/yx2T79Xr19rSe/A1lQhs8JelllRxPSWeumIw8I8Np3e8IG4ufkF0NqG/doXL71iaRJIFcaW5rS0Xl665GfPlPx/HO/GrhasqHTPCoDpiaWxpRU7k+k32TRBnwolIoEycj6FMai5phTFYNky9hgX+6/HViCn+1B/G8mM5dRkGfvWInk2VbCCzm6Ym/Ua8q3BplMwNbH+JJCcrm7v4GBhvrT1JBKrni0z0ah3XQNMA7GpZONnVkRbysusKCVYUXbPisINNm3RZSAVyqxYaq55ebACgIFt2NF6ZFbkGo1WMrNitZ4VmcqUDVRDLhtrfsYPqkTLPmA2LS2YW1+Efejrl5ZkjHnBKFPrnhWpcjMr1ij9K+V3dx2mtc37fZuahIvnKtOvIvfYuSabKgMRkRKMnEvRNxAmGqtyCUhcwYpmsWX0MVKxOFNd+zb8WAf7vX0ylYLIRm2uYEW8y+vSvl4AYHLcu13RwYoe72upfSsSC2un9nbEG6QMpIjxm0EXi3kH/6Uq5exsOLJUNpJ/33VLSNZqsLlmsMK/rkLBiuXmmv0FrzZbtsHoSGWeqxRV6VlReJytDfg0EMD7fKtAANG88JWQWMQ+9I2ly2wNMitMBctAzFqlfxUMVgBe0Hpi1CufqcTY0pylYIXKQESkOAvzWaYns2zdXv19s+OdQ2xdGKcjrYPSRjcw/gTYLCMDN274sQY7o8RbwhxWk03ZoE0WrPC7w6/Xt8IfW2qKDFaYsoMVi+sEKzqx841QBpJs7Gkg4B3012J0acEykOIyK2yJwQoTiXrrqlCDzVWba+YMbIPJMWwqVfj6askd2Faypn8ps6JAz4qABiuWxh3PLmdWbMiBq2HLIPbreaUgYyPe689Nv6iG1rYCwYq1x/SuqtMr/StYolfJMhCA7l7s8cOQzVZmbGmOXwayasmgiMgKF897f4drE6zYwb7ZM1V/Hqm+WGqWnqnnKtK3whjDof5Wjmh8qWzQpgpWmKVgxeSat7N+sKLozIp4j/+4JY4vTSS8s4ir6exavZN9kDRFGUisvNGlS2dni3j9fs+KpQOnYs/srtZgM7FOZgV4BzgVGF1qE2s018wZ2OZlJI3VNrtiqYFoqQeya1l1GkgquGUgHf64sbnKBCuMMV6jzWcfx+b+T8cvQu/A5RNCKqlQz4pUmcGKNUr0bKWDFV29y4HuSpaB3Honnd/zg5UNgIhIUxs5l6a1zRDvru5u/kIqy7m2fpWANJEtY48x1bWPRHTjTaIP9rdyairBfGrt8nuRtWyqYEUus8Kul1mRS3XuLaHBJmArXAZi2jsbo8FmU5SBlNmzIlNkk0xYPsjNHSRVpMHmOhkthVLqyzG8enPNHDMw6H1T6yabycr3rDChkPf/sjKAlU4HN1jhZ1bY2WlIVSYDxLzg5d5jfuNL3texkeXJL9XS4vWssNns0kW23GkgnX6AulBj5QqXgZjc+FKoaGDBxLvpePP3VTdAJCJNI5u1XLyQYuv28vsWFevE5CLWhBSsaCJbRh8DE2K0//oNP9bB/jYscGxcTTalfJtr7yfun3lcbyLIxCh0dhXfeb6zC4wpfXzpumUgDdKzognKQEw0VlYZiC2lDGRlhkTJDTYvD1aYdTMrWr2pMxu0bnNN8DIroPZNNqvRswK8vhWXNdgMbhkIHbkJQjNeyVAFAohmYBtceT32G//pZQSNXcRUcxIILPdmyP99LLMMxKxV+pf7fapYz4q8EaO50kARkRob90eWbq3yyFJYPghVsKJ5dM+cIJaYqkjfikN+k031rZCN2FzBilya9DrlGvbMSdgyWPTDmnDYCyyUkFlhrV0/WNEZh/nZkkei1lwq6fVHaGSxAgemxcj1oCh2GgjkZVYUGehYrQxkvQabULj+vxzrNNcEvNr6SKT2mRXVKAMBL2tlZQArkwlusKKlzXuP5XpWVKg0y7zgFTByDp55DKbGoa/amRX+Z2L++zb3u7leJtFKXWuU/uV+dyvYswKALYNVP5spIrKai+e8kaUDVR5ZCnB8YpF4ao7+RIll0BJY3gjTxxnt2/gI067WCIOdUQ6rb4VswKYKViwFFdYoA7Fzs3DsWczVN5X24F09pZWBpFNeI7Z1GmySycBiwCOS6XTj96wodGBajGJLOaBKZSDrZ1ZUpGfFes018Usn+rdhL9Y6WJHwMpsqnd1TqI9JgHtWGGO8AGeFelYsPe7zXggtrWT/xfUuqEUZCFzaGHapDKSMBpusUvpX4Z4VS42W1VtCROrowrkUfVsiRKPVD5oem0iwb+bMBg9pJWi2jD1KKtbJZPcafcqKdLC/lSPKrJAN2FTBCsArBVkjs8I+9YhXm3/980p83O7SGmzmDiDX6vCeG0UY9FKQJigDIVpuz4ryy0BssdNAQiHvYDwvs8JaW0KwYmN/JIpqrpmzZVtFMivsudPFj5JNJiDWWvmz2dHYcq+EnCCPLgXoiGOXMisq8ztpWtswt7wAnn3c+7nKZSBLTYfzg2y590KpQdH4Gtl0FR9d6mVWmEqOLRURKcHCfJaZqWxNSkDSWcvJyQT7VQLSdAbGvBGmlZgKcrC/jdH5NOML6fVvLFLA5gtWdHZ7DehW88SD0N4J+w+V9LCmq6e00aXJXLBijdGTjRKsqOBZ3LrxR5eWXHJTyjSQpcwKP/08U9zBkjHG2775mRXplDd5Y51ghWlt2/jo0iKaay4938A22GDPCjs7TfZXfhx77+eLu0NysfL9KqBwaVAmjQloZgXgZ1ZMQypV0aCKecErln+odmZFay6zIr8MJAHRWMlNJk2sxQvY1aJnRf8W77F27avM44mIlGjknD+ydLD6+2TDUwnSWcteBSuaTiw9R+/U0cr0rRjwTkAou0LKtfmCFWtkVthsFvvkQ5hrb8aEwqU9bqnBiqbKrKhcfXzdxGJgs8sBhGItBRyKeL/kbpNeUQZSzLaLRC/tWVFsw8GWjfesKKq5Zs7AIMzPYec3MMXmuWe81zoxVtztE4uV71cBXmbCyuyOIE8DAe8zY3bGD1ZU8Hfyyuu9Uc7GrN23pBKWelasKAMpN1Mk3r12z4pifneLYLp6CP3aH2Nue3FFHk9EpFQj59K0tld/ZCl4JSCAMiua1Jaxx5ju2kci1rWhx9nf20rIoL4VUrZNF6wwa5VrDB+HqQm47pbSHzjeDYsLJaSue7+0pnWdnhX4fTQCymb9A/xGLwPJHeyWWgpSwjSQpSakKxtsFpOVEYlcmlmRyE3AWGdcZ2sFRpcW01zTZ/yJIBspBbFHnvK+mVtnxHDu9onE+tuhHLECPSuCPA0EMJ1dSz0rKtn01oRCmNe9BW5+fvWb6eYyK/LLl4opeVpNvHv1nhXhcEVHgpr+LRoxKiJ1kc1YRi+k2DpY/ZGl4DXXjIUN2+cvVv25pPa2jD4KwMUNjjBtiYTY29OizAop2+bbq+rs9kb7ZbOXXWUffxAAU06wItdcrdi+Fbkd8dg600DAO1NaJjt8HFvNzIxi+y4EXS7YUmqTzVLq3nNncEttsAmXl4EUnVnhBSsKvd/XY63Fzs1ijx9et7nmklywYgNNNu1RL1hRdJBuIweya4nGLg9eBTxYsTTuuILTQHJCL30N4R/6+Yo+ZkF+4MmunAZS6iSQnM6uwuOqg54lIyJSgvHRNOk0bBuqzf7YsYkEe3taCBPwiXVSlq6ZU8QSk1zsr0QpSBtHxxbJBn26oQTS5ttT6+r2pnDMz3o7sXnsEw96B2V+o7RSmK4e7+N6eqq4mu7cjvhamRXtXmZFuWUgNpMhe9fPYV72Wsyb31XWY6wrVUIpQ5DlDnZLHV+a8aZDFHUgv3IE6VJWRrGZFZeXgZhiykByt28tXHJkEwns5/8Bxi56E21mprySppnJpec0t965/hrBa7AJ2NELZXUHt8kEnPDLTooN0iXXGQFcJhNrwV42DSRdXCZMvXTGvfKG2enGDSDm3rN5DTbtBspATFc3dvjE5VdkFKwQkeYxcj6NCcHA1up/rllrOT6xyIv3bKxEQILLG2H6GCNbbiFrQoRs6Se9cg72t/JvRyY5O5NkZ1cVTi5JU9t8e2qded3h84IVdm4WnnsW87o3l/e4ucyKIvtWLJ01XOMgy0Si3o57uZkRF895Z9VHzpV3/2LkDuYa9cDIZ2IxL9hUTmZFsWfaLxtdWkK/i0h0eXoIlJZZAV5wbJVgBU88gP2nT0F3H3T3QlcPZmi3957u6oHuXsyNt62/RsC0d0J7R/lNNk8c9bZPKe/7xOJyYK+SojGvsWO+BpgGAniZW436O9laqGfFBrJnOr2eFdbaS4OKQc+SEREpwci5FP0DESI1GFk6MpdiLpllX68OPJvZ1tHHODP0Eqa69tM7dbTsxznU7+1/Hh5dVLBCSrbp9tRMvNs7KJ2Zgu27li63Tz0CNou5rsSRpTl+sMJOTxR3RjkXrFirDAT87v5lBivOnva+jlWxnnCpSWSD96yIbqBnRbFnZ8MrMyv8rIxiatxXyaxY9wDukgO/whlDdvgEmBCh3/gYphL/jwOD2DJ7VuRKQLj2Zsh9v55EYnncZSXFLi0DsdYu9TkIKtMZX07IbdRgRSTqjetdOQ1kAz0rSKe9AE5b+/LlKgMRkSaRG1m668ba7IstNdfsrcLfXgmMgXFvhOnIwI0bClbs6IrRGglxZGyBV+zvruAKZTPYfD0r4v4vycqGa48/4J2VLHFk6eWPW2TPimLKQAA6OstusGnP+cGK8SoGK5qmDMT/A7/yTPp6Sjk7m7td/ujSou9bXs8KUyClfiU7fAIGd1QmUAFe34oye1bYo0/D9l2Ybdu93jLF1DdWs2dFfhlINuuNiw3y2fiOvJTcaIDXuQZjjJcFlB+s2NA0kLxsunxBz5IRESnS0sjS7bXZFzs+sUjIwJ4enSVvZtH0PL2TR7jYf8OGHiccMhzsb+XImCaCSOk2YbDC23G1eTuuSyNLr7mp9JGlPhNr8Xawix1fWmxmRUcFMitmp72JCdXgH8xVfUJAtS1NA6lisGKpDMQPOpRyZndFZoUtpwxkNcMnMDv3FreOIpgt22DsQslNPW02C889jTlwtXfQnclcWgqwmir1rCDaAsnkcsCklOkt9ZJrygsQaeBsp5Y2WJxf/nkDASkT7/G+WRmsUM8KEWkSI+fStLUbOrtqs1t/bDzBjq4YLZHNdxix2SyPMN1YRsTB/laOTyySypTf+0I2p833KZPrU5HfHf70cS/IUG4JSE5XT2nBikgEs86BrtlAsMKePQW5Gu1qZVc0SxnIRkaXlhJwyN0HSpvYsJFpILDqQb9dmPfGjO7YU9w6ijGwzXuNUxOl3e/caZifgwPXLI3tLarJZqJKmRWxGNjsco+R3Ncgn43vyAtWNHK2U0vrpdlAqSSm3Gkgq2RWWPWsEJEmkM1YLl5IsXV7bUaWAhybWFQJyCaxZewxYOMjTA/1t5HOLpcQiRRr0wUrTCQKbR2XlIHYJ3IjS2/e2IPHuy/J2FhTYmG56/1aOjqhjDIQm83A+WHYe9C7oFrBimYpA/GDLbasBptFvna/14HNlYGUFOiIltmzwn+PrZZZceYkAGbnvuLWUQSzNL60tCab9ojXo8IcvAaTyxBY571v02m/IWeVykBgOYDVaMGKRs52amm9fHRp2WUg3tmgyz6b1bNCRJrA+GiaTLp2JSDTi2nG5tNqrrlJdM2cpCUxseERpgcHvODWkbEiMmZF8my6YAXgnWnLLwN5/IGyR5ZeoqTMikRxqet+ZkVRtfv5Ri9AOrXUMNSOjZR2/2LlzvY38oER5PWsKC2zwpaSSl6owWYp/S7yMysSpWVW2FV6ViyNdKxgGQgDg95jl9pk8+hT3kSSgW3QngtWTK99n6WgTZUabMLye2KpDCS4B7gmHPaCsdDYv5OtbZWdBgLeONd86lkhIk1g5FyaUI1GlkJec80+ZVZsBgbYMvY4F/uvI2vKP2wcaI/S1xbhyKj6VkhpNmmwohvr77jauRk4dhhz/QZLQPBro4vMrLCJheKDFdksLMyvf9t8fr8Kc82NXmf9qmVW+AdyTVMGUsXRpbmDR/8MvS0hK8OsllmxXkbLUoPNVSLZZ054B7d9A0Wtoyj9W73yoxLHl9qjXr8KY8xS74V1m8smc71fqpFZseI9kQsWBThYASz3rWjkA/GW1ssbbJZZBmJaWrzHmy7Qs6KRt5GICHDhXIq+LbUZWQpec02AfSoD2TS2jD5KOtrBZNeBDT3Owf5WDqvJppRocwYrOpczKzY8sjRfV4/XzDKX5r+WRJFNAXNp3SX2rbBnT3nf7NgLPf1VC1bYpikDKbNnRSmjLHO3y++BUG5mRTIBsdj6Y0+XykBW6VkxfAJ27qlonauJRr33XAmZFXb8IoyNwMFrvAty7/v1elbkMkyqNboUlgNyjVAGAsvbroF/J01ezwqbyXjbPrqBgFRn16V9ikANNkWk4c3PZZmdzrJ1e+0+y45NJBhoj9DVEtwx3lJZA+NPYrIZLg5sbCrIof42zs4kmU0UcZwk4gvMnprjOK8BPgqEgY+7rnvXiuuNf/3rgHng+13Xfaic5zLxbuwJf17w4w96O/f7Dm5g9b6uHm+04ew0dK9TUlJksMJ0xrHgBSu2DBa/lnOnoXcA09YOfVuwY1VusNnIKeewfGBX6ujSdKr4176ywWaqlPsWyKwoJpsgEvGCJAV6VlhrvUkgL3h5cWsoxcBWbAnjS+3RpwG8SSCw3GCzyDIQU4WeFSYa8373VpSBrNcUt+78zIqGntCTP7o0VWTJ01oK9RNKp6G1vfzHFBGps1qPLAU4Nr6oEpBNJpqep2fKG2F65XN/X/bjLPWtGF/k5u0dlVqeNLlAZFY4jhMGfh94LXAN8DbHca5ZcbPXAgf9f+8D/rDsJ4x3w+wUNpvBPvHghkaW5jNdfm30zOT6Ny46syJ30FZak0179jRs3+Wtq3+LykDWYUIh7zWUUwZSas+KimVWrH/wZoy5PKU+Z2zEKw+pZL+K3PMODJaUWcHRp7x1+o0+TSTqlbCs974vdgRwOWIrG2z6ZwICfjbe5DIrGjlY0dK2XLqU2/7lTgMB7zO/ULAi6IEnEZE1jJxL0dYRojNem935RDrL2ZmkmmtuQt4I070sbmCE6YG+VgxwZFRNNqV4QdlTux046rruMQDHcT4FvAF4Ku82bwA+6bquBb7pOE6P4zjbXdc9t96DZ7/2xUt+tqMXIJMh+w+fhJkpbGvbZbcph71wxnu+b3wJM3Rs7RtPjkM4su7z2slx7zEf+gbG/37ddVjrTXm48nqyX/sidn4Oxi6S+coXLisbWIh3kp0pfdrI0nMdfmJ5fbmSg0YVCmFPHrvs/2TNbTQ1AalUUe8fm/UOdu2xw97tJ0aLeg8A2JFzkFhcuq09e8p7Dxf1vjXYU89d/ntwynuP2rHRDb3/C20fuzAHk2Nkvvz5ojIR7CP3eRlA3/wvllrJRiLY44fXXJs9600zyR5+AlPqqNT11pT7fX7km5iRc97/AZB99glMCcHDjf6Olcr6vRmyh58saZ31tHIb2YvnILFA5qv/sVQCZ09e/h4u/gnmYHTk0vvPTEGkuN+/eqvae+gt76z8Y4pITWQyltGRNLv2xmo2svTEZIKsRWNLN6Gto49y+IDDxf4b2HXuK2U9RkcszI6uGIc1EURKEJRgxQ7gdN7Pw8AdRdxmB3BZsMJxnPfhZV/gui7xeOcl1yd7elkEoqeOkgI6D11DqH3j6UjZzBZmgdZshtiK51xpJpMm0tZO2zq3y4aN95jGrvuYS/eZmmA2k6Z1cDuxeCfJgS0s2iydYQh1XvoYoVD4su1TikQkQgKId3djNnLmMwBmIlEiIS77P1lrG80CoZYY7UVsQ2stM0AsEqY13sksllBLS1H3XWxtI5nNLK1jHks21kJnEfedbWkhZO1lz5OYn/b+73btxmwgxb7Q9klu2cYi0EGGcLxnzfvbxCIzk2O03PYiWvIeZ7a9nVAmveb2SUUiLAAdXV2EN/A+LiSz0MUc0BaNEo13kp5uYR5o7+wkUsJzbfR3rFSJri4SQHu8tHXW08ptlOjo9N6bbS1k0wnv/6Gzk2iZr2exq5vk8cN0dnYs7dTPYgnFivvdrbdav4dEJPjGL9Z2ZCnkN9dUZsVmE589TcviOBcHbiw7WAFwaKCVB8/OYa2tWZBNGltQghWF3q0rZ3UWcxsAXNf9GPCx3G3mbrg07mFDUfjCPaSOH4E9B1h4/itKXW9BNpmAv/xDEp3dpG5YGWtZcdtslvT2Xaxc22W3S6fhE79Doqd/3cdcus+j9wOQvO2lpA5cjTUR+NK/Mr9tF+aKqy657cDAAKOjo0U9biHZUycAmLv5hd7YxAZmOzpJd3Zf9n+y1jbKfvrPsH1b1/1/XBKOkBrYRuaGO8je/VdkeweKum/2xHPw4NeZve42TChE5gv/BJFYcfft+jTZto7Lbpv9+n/BlkHmb31JcWtfRaHtY9vi8IV7WOjftm7zWvvEQ2AtqRd9G+mrl+d4Z//jn8kmFtd8jdkFb8dp4bpbMYM7N/AqCqzr7CngT1ncsZfkDXdgI97O2eLB6zCHri36cTb6O1aq7NgofOteFg/dcNnve1Ct3EbZsTH4+n8yd/A6mPAyyhIHriFZ7O/ZCtlzZ+GhbzJ35Q0Yv09FNvwx7MBg8b+7dVSt91D5ybwiUm+5kaX9NRpZCnBsPEFnLMTWjgYuM5Sy5EaYnt96K1kTImSzZT3Owf42/vPYNBfn0mzt1PtI1heInhV4WRK78n7eCZwt4zbFifu7aInFiowszTGxFq9Z5zrlGtZav2fF+mUTJhLxms2VkM5tz/mTQPyeFfRt8S4fGyn6MYqWSoEJNXygAoBYC7acaSCl1L1HIsuNMtPp4psgLvW78PsmFNtgE/xmhZen3NkzJ7xpMdUwsM17jiKabNqjT3njdfcduuRy09lV354V0ZU9KxpkGkin//lWhaajNZPr57O4uNxgcyPTQOJd3tf88aUaXSoiDWzkfIr+rREikdqdnT42sci+3ladEd+ktoz5I0y7yx9heqjfO/Y5olIQKVJQghX3Awcdx9nnOE4MeCtwz4rb3AN8r+M4xnGc5wNTxfSrKCi34wqVGVmar6cPO7HOGbB0CrLZ4g8mOuLrj3DMd/Y0dPdhcs05+we8r9VosplONfSIxEuU02Azky6tkWE4vBxwSKeKP1jKbeNck81SghV5YyBzbCIBF85hqtBcE/Cm4USiRTXZtEefhl37L+950tFZxDQQ/3VV48A8t31zB8vpxghWmBtvw7zzh6sXiKoB0+oHKxKLy7+TGyhVMrkAdX6TzVKa44qIBMj8XMYbWTpYu8+wTNZycjKhEpBNbGDsSUw2zUj/jevfeBV7elqIhgyHxwo0fhcpIBDBCtd108AHgM8DT3sXuU86jvN+x3He79/sc8Ax4CjwJ8APl/2EuR3XSo0szdfbv25mxdKBYxGZFQB0xLFzxQcr7NlTMLSchGJa26G9E6oxvjSVbPhJIEtiLWWMLi3xgCecl1lRSqAjcnmwotg+E6bQNJBzp8BmqxasMKGQN7509Pyat7PpFBx/dnlkab6OOMzNYbNrpBomcgeyNcysCAc7OGdiLYRe8prGPvOVC1wlFiozDSSXbTKbF/xSsEJEGtT5M97fo61Dtft7dGYmSTJj1VxzE4tmFuibPMzIlpvLf4ywYX9fC4c1EUSKFJg9Ndd1P4cXkMi/7I/yvrfAj1TiuUw0Bu2dmGtvqcjI0kseu3dgacrCqnJng1uL/MDv6IT54spAbDYL54cxL3r1pVf0bcFWK7OikUck5ou1wPRkafcpuQwkunzQW0pmRe52uUBHMlF8NkGBMhA7fML7plqZFQDFjC89dQySSczBlZOK8YIVNgsL88sjfFdKJrwSkmpkO+QOjv3xvLZBMiuaQi6Qu7iArcR4ZH+stJ2ZWm5+pDIQEWlQ58+kiHeF6IzXrgT3+Liaawpsu/ggT135TmbbB+mcX/uE1GoO9rfxhaOTZLKWcKiBT6xITQQis6IeQj/2Sxjn3ZV/4J4+bxxq7gx4IYul1dmbzq7iy0AmRr2z6Nt3XXp5/5bqlIGkNnkZSMmZFeG8YEW6+LP0BTIrSioDWZlZMXzCu/+WbcU9RhnMwDa4cA67RgDIHvWnE1+xSmYFLI2uLCixCC1Vqp8NR8CEGq9nRTNoqWwZyFJmhV8GYq1VsEJEGlIikWXsYprBnbXd9zo2kSAaMuzsVrBiM9s28hAAF7aUX0Z/qL+VRMZyeqrEfW7ZlDZtsMJccRWmu7fyD9w7ANbC1MTqt/HPcptSMiuKLQM56013NSuCFaZvi8pA1mFiLdUPVlzSYLOEzIpwgcyKYtPi/Z4V1i4Pz7HDJ2DHnopnFuUzd74SbIbsb//SqmVM9sjTsGUQ09N3+f2LCVaUErQpkTHGC8St7FnRDM1kg84PVtjFxYqUgZiWFu99kutZkc16n9MqAxGRBnPhTAosDO6odbBikd09LUR0JnxTa0uM0TV9nAtbNxCsGPCyJ9W3QoqxaYMV1WJ6+r1vJsZWv1HuLHdLkcGK9jjMza5du+9bmgQytDKzYisszGHn54p7ziLZUg64gy4WW0r5L4bNZrwyhVJefziCzaS9wEG6+J4VJq/Bps1kvPsWnVnR5q3TP+iz1sKZE9Vrrukzew8S+pFfhPPDZH/nw9iF+Uuut9bC0acwBwqUgAB0+sGKtbKKEtULVgD+e8LPZkk3Rs+KppDfs6IS00DA61U04/esWPq/bJLPLhHZNM6fSdHWbujurV3g3FrL8YkE+1UCIsDgyANMdh9gsaW8k76DnVHisZD6VkhRFKyotF4vWGErGazo7fMONtdpVgjA2VPQ1eOVjuTzx5dWvBQklWqazAqvwWYJo0vL6WGQa7CZmwhSdM+KvDKQUtPi8w/8AKbGvQBADaZFmGtuJvT+D8HpY2T/369g88tRLpzxGh4W6lcBS30q1moua5OLxf8elSOa13Q14wctmiU4F2SFykA2+jkT78bOTHrfq6RHRBpQOmW5eD7N4I5oTZsoj86nmUlk2N+n5poCgyMPAnBhyy1l3d8Yw8H+No4os0KKoGBFpfnBCiZXD1bYEoMV5vpbvfs9+I11b2vPnr68XwVg+kobX2of+gaZD//oclPB1aSbpwyk5J4V5ZydjUS8QEWu90TR00DyykBKDVbkH/iB168Cqp5ZkWNuvB3zAz8NR58h+we/vtQw0R592ru+0CQQgA4/4LZez4pqZlZEY3k9K0oMMEn5ojGvX0iuDCQcxmx0u+dnVihYISINaOR8imwWBnfWdr/r2ISaa8qyzvmzdMyd5fwG+lYcHGjl1FSCxfT6WeOyuSlYUWntnV7q+MTo6rdZClYUN7rU9G+FfYewD35tzdtZa+HcaczKEhDwykAAW2TfCvvofXDm5HKN92pSzVQG0gKZzPoBmpxyDnhyDTZLve8GMiuWeqP4mRXLk0D2FPfcFRC67UWY7/9ReOoRsn/8m942PvqUV+oxuLPwndo7vK/r9ayoZmZFLLY8jUI9K2rGGLM8xaZCfXG8RsX+55nKQESkAZ0fThFrMfQP1Pbv0OHRRcIGjS2VJdtGHmS89yqSyfKCDYf628haVAoi61KwosKMMdDTD5Pjq99oKVhRfITaPO+FcPIo9uIapSATY7C4AEO7L7+uq8c7MC42syI3fnW9UZ5NVQZy6ajKdZVTBhKJegGHUg+WwpdnVphSelbA8hSa4RPQO7DcwLJGQi98Jebt74dH78P+6W9jDz8JV1y9aiqrCYe9gEU9e1bkZ1ak0xAKVbUpqeRpafU+zyrVRLXLy6zw+sX4mU0KVohIg8hmLBfOpdg2FMXUuMnl4bEF9va20BLRYYN4Bi8+iA1FuHC2yBN8K1yztY1Y2PDN4dkKr0yajT51qqF3ALtmZoUfRSxydCmAueWFgFeesaqzXnNNs/3yYIUJhbxJJUUEK2wqBblGnbka79Wkk5hmCVbkGviliiwFyZTRcDEcvrQMpNixr9EN9KxYUQZih09AjUpAVgq9/HWYN78Le/9X4OJ5zGr9KnI6vOayq0ouYqqaWbGiZ4UObmun1R+5m6xQqVm82wtEJhZU0iMiDWd0JE06BdtrPLI0ay1HxxY51F9cNrBsDt3Tx2ldHOf8cKqs+7dHwzxvqIOvn5ohk7Xr30E2LQUrqsD09K0zDSQBkWhJNdhmyyDsObBmKYg9540tvWwSSE7fFuzYyPpPdvbk0s68LSazoll2+HMH/8kqZlbkGmyWmlnhl4HY/GBFsQfpeWUgNp2C88OYGpaArBT69jdivuvtXh+Ca25e+8Ydcezc9OrX1zqzolne642gpQ2bWMSmKvR/3NntfZ2ZXgo0brgPhohIjZwbThGOwMC22n5uDU8nmU9ll8ZNigAYLNsuPsjI+RTpdHnBhjt3dzGxkOaZiyoFkdUpWFENvQMwOb76qNHEQll19uZ5d8Lxw6sHHM6dhs4uTLy78P37tsD4GhkfvqUSEFi/Z0W6CctAim2yWc4BTyTi3c/PrCj6vhtqsOntYNjFRTg/7AWiajAJZC2h17+V0O/8NWbXvrVv2LleZkX1e1YslQVl0sqsqKWWVu+zMpmsSLDCxP2GrTNT6lkhIg3FZi0XzqbYtj1KOFzjEhC/p8ChfvWrkEttG3mQbAYuni8vu+LWHZ3EwoavnFzjpJRsegpWVENPv3dgM7vKL99ieeMWzfP8UpAHv17wenv2VOF+FTn9W70gynoNJE8dg7Z2LwixbmZFsviJFgG31AOi1J4VJRzwmHAuWJHLyih2GkhlykDs0iSQdYIENWBa29e/TXt8nQab1Z0GYqL5wYqMMitqqaXVnwaSqFAZSI/3dWZKPStEpKFMjGVILFoGa1wCAl5zzY5oiKGuJjkxJRXTN/ks0ZgpuxSkLRrith2dfP20SkFkdQpWVIHJjS9dpRTEJssMVmzdDrv3FywFsdbC2VUmgeT0DYDNrjlWFcCePga79nlNOdcLVqRTxfddCLrcAVGiyMyKpfGj5ZSBlHjfvMwKmygvs4LEgtdcMxKBbUNFL7muOuOrNti06ZQXQKh2z4qlMhD1rKgl09rm9axIJZeznjbCz6ywM1PqWSEiDeXcmRShEGzdXodgxdgCB/tbCa3SDFs2r5DNsG3Ia7KZLTPYcOeeOFOLGZ4cma/w6qRZKFhRDblgxWpBgUR5wQrwS0GOPYtd2ShzahwW5mD76sEK07/F+2aNJps2m4HTxzG79kNXD3Z69TIQa+3mngaSKSOVPBLxG2zWMLMiFgNjljMrtu9qnFr9jk5YmMPmDi7zlRq0KUc0ttxgM51umiyihpAbXVqpaSDxy3tWKPgkIkFnreX8cIqBbRGi0doGDBLpLCcnE+pXIasa3BEllbKMjZQ3FeTWoU5aI4avnlwji1Y2NQUrqsEPVqw6EWSjwQrAPrSiFOSs11zTrBGsoG+rd9+xNSaCXDjrHRzsvmL9zIpMBqxtngO4pQabxWZWlHHAE454UyUypWZWlB+sMMYsp9QPn8TUaRJIWTr8PgPzBfpWLDUarU2DTZtJe9NcpDaWRpdWZuKQaWn1fmdmp8prjisiUgczU1nm57IM7qj9vtbR8UWyFk0CkVVtGYwSCsP5M+WVgrREvFKQb6gURFahYEU1dPVAKAQT44WvTyx6Zw3LYLYNwc59l/WtWJoEsmONnhV9A97XtTIr/OaaZvd+r1HnWg02034GQtOUgXgHvbbEBpullYGEL82sKHbsaaEGm6UcwLW0YccueBk4DRWs6PS+Fupb4Y9iLWUEcMliMUinvGa5mgZSWy250aWJypSBgJddMT21HCxUZoWIBNw5vx9APYIVS801B9RcUwqLRAxbB6OcP5PyMq7LcOeeLqYTGR6/oFIQuZyCFVVgQmHo7oPVMisWF5ebOZbz+M97IRx9GpvfE+PsKeiILzeRK3S/WIu3s77W+NJTx7yz+IM7vaDLzOTqU01S/g5/05SBlNlgs9RpIPk9K6LF3deEwl4ALJdZEY6UVsrR0grPPeM9VgMFK0xn3PumUN+KpBesMNXsWRHNvSdS3v+bDm5rp6XNy9yan6lcqU9nF3ZWPStEpHGcP5OkbyBMS2vtd9kPjy2yrTNKd6s+K2V1gzujLC5YJscLlOwW4ZbtHbRGQnxVU0GkAAUrqqWnD7taz4pk+ZkVAObWy0tB7NnTXi+C9Rog9W25vN9FHnvqOdixxzsQjndDNls4BR+WgxVNUwZS2uhSW2p2RO62mXR5980FOsqp4W9tWy7paaBgBR1+sKLQ+NJa9KxY6mOS8DJpdHBbO61+ECqZXA4abVS8G2am837/9P8pIsE1P5thejJblykg4GVWaGSprGfbUARjKHsqSEskxB07O/nm6RnSKgWRFRSsqJbegVWngZDY2LhFM7gTduxZmgriTQI5tfYkkJz+LTBeOOPDWgunjmH2XOFd0NXjfV2tb0WzlYGUmllRat8J8MpAstnl5ygpKyO6nFlRcrDC39mId2O6eku7bz35wQo7VyDaXqueFeAdMGfUYLOm8jNmKlQGslTapp4VItIAzvl9ALbXoQRkbD7F6HxazTVlXbFYiP6tEc5tqBQkzkwyy2Pn5yq8Oml0ClZUientLzgNxFrrNTps2diHv3nenV4pyOQ4zEx62Q9Da/SryN2vbyuMjRT+MBm/6D3Orv3ebZe656/St8LPrKhE87tAKHl0aZllIOC9B6C0g99csCJRRg1/7v3WSFkV4I0uhVUyK2rUswK84JLKQGrK5H9GVip7JhesUM8KEWkA54dTdPWEaO+sfXPnw2Pe31g115RibN8RZW4my+z0KqXj67hlewft0ZCmgshlFKyolt5+WFzALqxoFpNOgc0un+kuk3neC8Fa7MPfKG4SSE7/gHdGulDDwrzmmgD4Z+DtqpkVzVUGYkIhL5hQdGaFX5tX6jQQWOq3UE6/C1tGZkWur0Mj9asAoLUdTKhgzwqb24ZVLAMxSz0rEn6wQtNAaia/VK5SAdF4l/f7PeefuVFmhYgEVGIxy/hohsEd9TkhdHh0gUgI9vdVMXtRmsY2P/vnXJlTQaJhvxRkeIZURqUgskzBimrp8caXXpZdsViZs8FmaDds34V94GvYs6e8C4soAzH++FIKjC+1p57zDgx37PUu6PIzK1YLVqSarAwEvAPfUkeX1jqzopwykFxKfYMFK0wo5E0EKVQGksuAqWaDzdjKMhAd3NZMFcpAlhoQ5z6XlVkhIgGVGwW5vV79KsYW2dvTSiysQwVZX1t7iN7+cNl9KwBetKeLuWSWR1UKInn0CVQlptcPVqycCJLwxkBtNLMC/FKQI09in30c2jq8CSTr6d/ifS3QZNOeOgbbd2JyPQA64t4Eium1y0CINEkZCHiN/Kras8K/be59UOJ97UYabAImF4hqJB3xwmUgtexZkUpCOoUppSGqbEz+Z2SFsmdMvAsAm/tcVvBJRALq3HCK9o4Q8e7a76pnspajY4saWSolGdwRZWoiw/xceaUgNw520BHVVBC5lIIV1eJnVtiJ8Usv988GV2Lcorn1Tm+038PfhKEiJoEA9HnBioITQU4dWy4BwT+rHe/2emIUsjR+s4kO4GKx0jMrSpoG4pcRLPrBilLO7EbzMitKff/Eu73XVkwT1qDpjGMLlS3VomfFJQ02Mzq4raW8nhWmktNAACb9z2VlVohIAKWSltGRNIM7o8Xt21XY6akEi+ms+lVISXJTa86XXQpiuGNXnG8Nz5LKlBfwkOajYEW1rJdZUYnU9aHdMLgTrPXKQorR2eUdtI6NXHKxnZ70UqN37b/09vHu1XtWNGkZiC05WFFCH4Nc2UdiEcJhLyBUyn39YIUptWfFK76T0C98pDGbobZ3Fu6xkvS3YTUDCLG8nhUqA6mtapSBdHqZFUyOgzFe5piISMCMnEths/WZAgJ5zTU1CURK0BkPE+8KlR2sAHjxnjjzqSwPn1MpiHi0p1YlJhrzJhms7FmROxtcicwKY7xGmwDFNNf070PflsszK1Y218zp6lm1Z4VNNVeDTcA7k150GUgaQqHSAg5+YMMmFks/q+s32CynDMS0tWN2FBnQChjTGS/YYJNksrpZFbCUWWGTmgZSc9WYBpIbxzw1DuFIXc5Yiois59yZFC2tht6B+jR1Pjy6QGcsxFC8ifbvpCYGd0YZu5gmkSgvM+KGwQ46YyG+pqkg4lOwopp6BrATqwUrKhOtNs9/GbS2YQ5eU/yd+rZc1mDTnvaCFawIVpjcqL9ClspAGvBs/WpKbbBZ4pn2pSyAxGLpQZ6NNNhsZKv1rEgsVrdfBWh0aT3FYl7DX6jYZ4xpafUeN5tVloyIBFImYxk5l2LbUH1KQMDLrDjY36aArpRscEcULFwoM7siEjI83y8FSaoURFCworp6+y/LrLBLwYoKNYwb3Enodz+F2Xuw+Pv0b728weapYzCwDdPeeenla2RWNGcZSMw7Y1+MTLq0fhWwfPvEYukHS+HyMysaWkccEgvY9Io/fInFGmRW+Ns5mfQaquoAt2aMMctNNitVBgLQ6fet0P+liATQ6IU0mXT9poAspLKcnkqouaaUpbs3TFu72WApSBcL6SwPnVUpiChYUVWmtx+qnFkBlB757huA6UlsXrmDPXXssqwKwBv1l0xgcw0h86WbsAwkVsI0kHQZB6+5/haJhdLvG416a9uMwQq4LLvC1mI7LGVWJMrKpJENypXLVfL/OddkU1kyIhJAZ08niURhYGt9PqOOji+Qtai5ppTFGMPgzhgXz6dJJW1Zj3H9tnbiLWGVggigYEV19fTDzNRybweoaM+KsvVt9b6Oe80/7cI8jJzFrGyuCcs13oVKQVLNVwZioiVOAymn7wTAYullICYShYV574fNFKzo9IMVK/tWJBPVLwPJvbfLmd4iG5cL6lZqGggoWCEigZVOW84Np9i+M0YoXKcSkFG/uWa/MiukPDt2R8lm4dxwkSf/VgiHDC/cFee+MzMk0ioF2ewUrKim3ESQ/FKQSk4DKZPp98aXLpWCnD7uXb7nistvmwtWFCoFyWUgNFtmRSllIOWUcoA/DaSM+y74KXGbKFhhOvzSpJUTQRKLVf89MqGQ93+cCxIps6K2WipfBmLi/kQQ/V+KSMCcP5Mik4ade+u3X3V4bIHBzihdrfqMlPL09IXpiIcYPlFesALgRXviLKYtD54t0LNMNhUFK6rI9OSCFePLFyYSEIliShl3WWl9XrDC+uNLl5prFsys8M9Czkxefp1fBtFUDZhKabCZyZR+wLPUYLPMMpBcZk4la/iDrsM/uCwUrKh2zwrwzurngkQ6wK2tVpWBiMjmMXwiSVu7oX9L/T6fDo8uamSpbIgxhp17YoxdzDA/V15mxLVb2+luDfNVlYJsegpWVFPvAAB2YnT5ssTC8g54vfT2gzHLmRWnjkFXD6an7/LbxnsAsAUzK1JNVQIC+KNLiwtW2HSqvOwI8KcRlNqcM++5NlFmRa4MxM5OX3p5MoGpxXaIxbxSKdABbq21tHmfVZXM3lKwQkQCaHEhy8ULaXbsidXtJNDITILxhbRKQGTDctlBZ05urBTkgTOzLKoUZFNTsKKaev2D//wykMUanQ1eg4lEobt3KVhhTz1XuLkmLO/YTxfqWZFsrhIQ8IIA6TQ2m1n/tun0xgIO5WRW+Ey1ezUESa4MZH5FKmAtelaAF8BSsKIuTEsrRCs8vi+uaSAiEjxnTiXBws699TsJ9OR57yy2Mitko9o7wvRtCTN8Iom15TXafNGeLhIZywNnVAqymSlYUU1tHV7Ndd5EEJusfp19Ufq3YscuehNBzp3G7L68XwWAiUahvaNwz4p0qrnGlsJyeUUxfSvK6VmRf/tSAx35t99MmRUtbV6QYGWDzRr0rAAuDVboALe2Wtsq/l43Gl0qIgE0fCJFd2+YeFf9yoSfujBDJGTY37uJ9jGkanbuiTE7k2VqoogTgAVcvaWN/vYIf/vYKPOp8h5DGp+CFVVkjPEmguSPL00sejvgdWb6tsD4RdKnjkEmg1ktswK8UpDVykAiTVYGkjswKmZ8aTnTQPJ7lagMpCjGGC+7Iq9nhbXW6/9SiyylWF7PCmVW1JR5+eswb31fZR8012BT/5ciEhAzUxmmJzN1zaoAeOr8DPt6W4iGdXggGze0K0ooRNmNNsMhw0+8YDtnZ5L8ztfPkS0zQ0Mamz6Nqq23H3tZGUgADjT7BmD8IqnnnvF+LtRcM6erG1tgdKlNJZsvsyLXg6OYJpuZ9KXBh2Lkn80t9WApukkzKwA64tj8BpvpNNhsbRqN5mVWmGYrewo4s/sKQne8tLIPqp4VIhIwwyeSGOONfKyXTNbyzIVZlYBIxURjIbYNRTlzKkU2W16g4YbBDt59y1a+NTyL+/jY+neQpqNgRZWZlZkVyWBkVtC/FdJpkg99yytX2TK4+m1Xy6wop2dD0EVLKAMpq2dFXt+JUgM9mzSzAoCOOMzl1Swm/akotSgDieX3rKjjFB+pDPWsEJEAsdYyfDLJlsEILa312y0/NZVgMZ1Vc02pqJ17YyQTlovn02U/xnde2csr9nfxt4+P8q3Tmg6y2ShYUW29/TA1js36nWwXF2szwWAdxh9fmnjkW7Br35oN7ExXDxTIrCCVbLppIEuNK4vJrChrGkjewe6GMis22c5EZxzyp4EkahisiMa8LBrQAW4zaGn1/k/1fykiATA2kmZxwda9BOTwqPd39UplVkgFbR2MEI2ZsktBwCsH/qHbBznQ18pHvn6O01PFTe2T5qBgRbX19kMms3ywH5CeFfR7wQoSi2v3qwDo6oG5GWx6RVS0GRtsRnM9K4orAzEbarBZ6n3ztvVmmgYCmI7OSzMrEv7/Tw0Cf5cEF1U60PCMMd6o5mbrtyMiDWn4RIpIBAaH6rs/dXhsge7WCIOdTbZfJ3UVCht27I5y/myKVLL8nhOxcIgPvWQHLRHDr395mNmkGm5uFgpWVJnp7fe+mRj1vgZlGoifWQGs3a8CltOmZ1dkV6RSzVcGkjswLboMpNTMig1MA9nUZSBdlzTYzGW+1GSEa372ULO93zep0Dt/BPOaN9V7GSKyyaXTlrPDSbbvihGOVHBEcxkOjy5w9bZ4ZUdFi+CVgmQzcG64/OwKgC0dUX7uxTu4MJviI187S6bMPhjSWBSsqLYeP1gxOeZNMFhcDEYKf1vHUoaH2VN4bGmO6erxvlnZt6IJy0CWR5cWUwZSxjSQUAhyOwKlBjpyWSzGbL6D5o5OSCWxuYyKXBlITaaB5AcrlFnRDMy1N2N27av3MkRkk7twNkUmDTv31Pdv+nwqw+mpJNcOxuu6DmlOPX1hOjpDDJ9Mbfixrt3azntv3caDZ+f428dGK7A6CToFK6qtdwAAOzHmHdzbLLTWP1hhjPGabMZiMLhz7Rt3+ZkVK4MV6VTzTUfwMxZsMaNLM6VnVhhjlvtWlLjtlrZ1rGXznfno9HegctkVtWywmR+QUxmIiIhUyPCJJK1thv6t9f3bcnRsEQtco2CFVIExhp17Y4yNpFmYz2748V5zsIdXXdHN3z05xtdOTa9/B2loClZUW7zbOzidGFuusw9CGQhgdu4ldtUNmPUmHPiZFXa6QBlI0/WsKHF0aTnBmtxEkHL7XWy2EhDAdHR53+SCFTXsWbHUxwQUrBARkYpILGa5eD7Nzj2xup+AyDXXvGaws67rkOa1w88eGj65sVIQ8IIf779tG1cOtPK73zjHiYnFDT+mBJeCFVVmQiHo7vODFQvehUEJVnzfj9LzC7+5/g3jPd7XmclLL2/qMpAie1aUc/CaCzqUet+8zIpNp8PfgfKDFTYXTKpFzwqVgYiISIWdOZXCWuo+BQS85ppD8ShdrU12AkoCo6MzTO9AmOETSa8sfoOi4RA/9+IdtEVC/Ma9Z5he3HiJiQSTghW10NuPnVzOrDBBCVZEY8WtpbXNC0qszKxIN3ODzWIzK8o4eM1lspSalRLevJkVl5WB1LJnRVTBChERqazhE0m6esLEu9fJbq0yay2HRxc41B+ASXXS1HbuiTE7nWVqojKTPPrbo3zoJTsZnU/xU//4JPeemGYxvfEyEwkWBStqwPT0r8isaKw/CMYYr5zlsgabzVgGUtzoUptIeCNpywkclJtZEd3EmRXtXrDC1qNnRUw9K0REpHJmpjNMTWTYubf++1Cj82kmFjMcGmisfVNpPEO7o4RCVKTRZs5VW9r48RcMcXE2yf/92lm+9++P8FtfPcM3Ts+QzChw0QzqvuftOE4f8GlgL3ACcFzXnShwuxPADJAB0q7r3lq7VW5Qbz888eDy2eBapK5XWlcPNq8MxGazXmZBk5WBmHDYOyBdrwxk2n+L9vSV/iS5A95Ss1KWykCaa5sXJZdZMZsLVtSpZ4UyK0REZIOGTyTBwI7d9f97fnjUO5F2aCAYWb/SvGKxEFuHopw9leSaG1sJhSrTq+Ule7v47uft4ytPneYrJ6f52qkZvnpyhvZoiDt2dvLiPV3cuL2DTdaavmkEYc/7Q8AXXde9y3GcD/k//9wqt32567qNN6emtx8Si95EEGi4zArAa7I5kbfp035UtNnKQMALBqxXBjLlBStMd2/pj78UrFCDzWKZWIsXGJub9S5IJCASWb85bCWoZ4WIiFSItZYzJ5Ns2Rahta3+Cc6HxxaJhgx7exSskOrbuSfK+eEUFy+k2ba9cscQIWO4dls7127zRps+dmGer56c5hunZ/jS8WnisRDPP/QmXj/8FXbOX6zY80r1BWHP+w3Ay/zv/wL4L1YPVjSmnn7v64Uz3teA9KwohYl3Y08+t3xByg9WNFsZCHgHxeuNLvWDFXSVEayIlBus2MRlIAAdcZjzR1QlFmvTrwKvt8tSKyiVgYg0PcdxXgN8FAgDH3dd964V118F/BlwC/CLruv+n9qvUhrV2MU0C/OWq26of1YFwGPn5zg00Eo0rPPOUn3btkeJxgxnTiQrGqzIFw4Zbt7ewc3bO3j/bdt4+NwcXzk5w70Lt/Af22/nRSOP8paT/6GgRYMIwp73Ntd1zwG4rnvOcZytq9zOAv/uOI4F/th13Y+t9oCO47wPeJ//mAwMDFR6zSVJ7r2CCSA2cZEE0Ld9iHB/fdeUE4lEito+M4NDzH/zS/T39WFCITIhGAU6e/tor/P2rbTRtnaiBrr911VoG81nUswAffsPEC6xFGSspZU00NXbT2sJ2y5DllGgNd61tLYgKPY9tFFj3T2EU0l6BgaYMpBsa6/J8yYGtjDpfz+wdVvJ2Ry12j6NTNtobdo+teM4Thj4feDVwDBwv+M497iu+1TezcaBHwO+u/YrlEY3fCJFOAKDO+p/smdyMc2xiQTfc4M+X6Q2QmHD0K4op08kSacskWh1g2TRcIjbd8a5fWec8b/+ae7Z9RL+dccL+erWGxW0aBA1CVY4jvMfwGCBq36xhIe503Xds34w4wuO4zzjuu69hW7oBzJywQw7OlrfyhFrvIObxKnjAIzPzWNsMKpZBgYGKGb7ZCNRyGQYPXUC09mFHb0AwOxigvk6b99Ky4TCZGZmSPmvq9A2yp45DSbEeDKFKfH153ogzyzMM1vCfe2M168hYSnq/6xWin0PbVSmtZ30+Bijo6NkZ6axkWhNntcu+L1mQiHGJi5rp7OuWm2fRqZttLZqbZ+hoaGKP2YTuB046rruMQDHcT6FlwG6FKxwXXcEGHEc5zvqs0RpVJm05dxwku07o0Qi9c9keOz8PAA3be+o80pkM9m5N8bJ55KcG06ya1/tsoW7U3O889i/8l2n7y0QtPgiO+dHarYWKV5NghWu675qtescx7ngOM52P6tiO1DwneK67ln/64jjOJ/B26EoGKwInKUykLPe1wYsAyHe432dmYLOruYuA4m1rF8GMj0BXT2YUBk9E3Jn5sNlNthsxPdPJXR0wrlhAGxisXaNanM9K9SvQmQz2AGczvt5GLijnAcKWpZnNWyWrJ9Kvc5jR2ZIp6a49oYtDAy0V2BlG/PMw+PEWyLccWgn4ZAp63VeqNLapDGU83vR32957IEEF87AzbdV5vOjmPdu7r2aC1q84fSXuWfnS/jczjvLDlrU+vNvs3zm5gvC3vc9wPcBd/lfP7vyBo7jdAAh13Vn/O+/DfiVmq5yA0w06o3+nJmCSLQ2TQErzHT1eHX705OwfddSg02zSRts2qkJ6O4p7/HVYLMspiO+PLq0hj0rlibelBpcEpFGVOh0ty1w2bqCluVZDZslK6pSr/Ppx2dpbTNEW+YYHZ2vwMrKZ63lm8fHuX5bGxPjXgP4zfL/KZVT7vtl+84wh59c4PSpEdraN95otpz3bldqnncc/ze+a/jeS4IW7zz2r3z36S8X9Ri1/n1p1t/RtTI969+G2AtSvNpxnCN4NaJ3ATiOM+Q4zuf822wDvuo4zqPAfcC/uK77b3VZbblyfQ1aG/SseFcPAHZ6yvs5l3nQZKNLAS8YUMw0kO4yxpbCcoZEOaNL9x7E7N5f3vM2us44zM1grfX+f2oVtIkqs0JkExkGduX9vBM4W6e1SBOZn8swcj7Nzr0xTIVGNm7E8HSSsYU0Nw2qBERqb9debx/45HPr7G/XQC5o8Uff/A3uGH2Cv9z/Wh7uPVTvZYmv7nvfruuOAa8scPlZ4HX+98eAG2u8tMrqHYDTxxtzbCksBSuYnvS+NnMZSLQFkuNr32ZqArNrX3mPn8usKTFYYYwh/Iv/t7znbAYdcchkILHgBStKbGxatlxQpAEzokSkZPcDBx3H2QecAd4KvL2+S5JmcOJoEgPsPRCM7MhHzs0BcNP2+pejyObT3hlm21CEk88lOXhNK+EATKPpSs3z409/mg/dsoXfvuZt/J8Hf5eti6X3KpPKCkJmxaZgcn0rGjWFv6MTTAhmJr2f/TKQkrMDGoCJrT261GYz3nYoM7PClFsGstl1xL2vszOQWMTUqndHLiCnsaUiTc913TTwAeDzwNPeRe6TjuO833Gc9wM4jjPoOM4w8FPA/3AcZ9hxnK76rVqCLp22nHouyeDOaEVS3ivhkXNzbI9H2dbZhBmy0hD2HWohmbCcPZWq91KWtGRTfPDJT5I1IX7r2neSDGnfr970P1ArvX6worUxMytMKAzxrrzMik1cBjI7Ddls7XtWbHKmI+4Vjs/N1rhnhR9gbMLAnIhcznXdzwGfW3HZH+V9fx6vPESkKMMnkqRSln0Hg3HCKpWxPDEyz8v3ddd7KbKJDWyNEO8Kcexwgp17oxhT/+wKgO0LY/zY05/mruu/n08ceAM/dPgf6r2kTS0Y4d3NoLfBMysA4t1YP1hhm7oMJAbJNaaBTE0CYMruWZELVjThtqumXGbF3LT3/1Or36VIBIxRcElEREpmreX4kQTdvWH6BoJRTnh4dIHFtOVGjSyVOjLGsO9QC9OTGcZHM/VeziVuH3uKN538T74wdAdfHLy13svZ1BSsqBHT4JkVgNe3YsZvsNnEZSDrji6d8vtZlJtZkTvoVVlBafxghZ2dgWTtRpcaY7wAlv6/RESkRKMX0sxOZ9l3sCUwZ44fPjdHyMD129SvQuprx54Y0Zjh+OH6N9pc6W3HP88NE0f4k4Nv5Fjn6tMqpLoUrKgVv2dFzersq8DEezZJGYjXs8JmswWvtn5mRdnTQJYabOrgtySdfmbF5DhYC7X8XYrF9P8lIiIlO34kQazFMLQ7OCd3Hjk/x8H+Njpjwcj0kM0rEjHs3h/j/JkU83OF97vrJYzlJ5/6G+KpOX7r2ncyE2ngE84NTMGKWukd8L42cLDiksyKpi4D8c/Yp1Zp+JPLrOjqLe/xw2WOLt3sOjq9r+MXva+16lkB3ntC00BERKQEczMZLpxNs+eKWCCmHQDMJDIcHVvkZk0BkYDYe6AFC5w8Grzsiu7UHD/75F8y1tLNR69+K1mC8Xu8mShYUSOmrd3LrshNBWlEXd2QWMQmFpu/DARWb7I5PQlt7ZhyyxCUWVEWE4lCSxt2YtS7IFbDrJ5orDnf6yIiUjXHjyQwJjjjSgEeuzCHBW4aVL8KCYb2jhDbd0Q5eSxJOm3rvZzLHJo5zbuO/hMP9V/N3+95Zb2Xs+koWFFDof/vtzGv/W/1Xkb5unq8r9OTzV8GApBaJVgxOV5+VgXkNdhUsKJkHZ0w7gcraloG0qKeFSIiUrR0ynL6eJKhXVFa24Kzu/3ouXnaIiEODiilXYJj38EWUknLmZNr9Iyro9ec/QYvPf8gn977Kh7qO1Tv5Wwqwfn03ARMVw+mgQ/uTX6wIp2CUAjTjKnxS5kVhT8w7fQEdJcfrDC3vwTj/IA3DlZK0xlfKgOpZf+X0BveRujb31iz5xMRkcZ2+niSdBr2HQpOVoW1lofPzXHDYDuRkNLZJTj6toTp6glz/EgCa4OXXWGA9x++m91z5/mdq9/GSOsGTlpKSXSqUIoX9+dxz0x6/RyaNC3eRGNYWL0MZGoCs+dA+Y8/tBsztLvs+29qHXE4dcz7voZjgM1Nz6/Zc4mISGPLjSvt6QvT2x+MXe3Me7+Lc239jNzxc7zhYZfMX33jsttcqMO6pLFl3vtdFXusPdtfzOPXvpexkTQD24J3jNGSTfHBJ/+Sn33ej/GRq9/Obzz8+/Ve0qagzAopnp9ZYaenvDKQBs4SWVPuIHi18aVTkxvKrJDyGX98KVDTYIWIiEixRs6lmZvNsj9AWRUAj/YeBODGiSN1XonI5YYufJNYcppjR4LXaDNn+8IY33/0nzncvYcH+q+u93I2BQUrpHi5zIpcGUiTZlYs9awokFlhFxcgsbCxnhVSvs68YEUjT9YREZGmdfxIgpZWw/adwdpPeqT3EFsWx9m+MFrvpYhcJpxNsevMl7hwJs3cbKbey1nVyy48yLaFMT6999WBLFlpNgpWSNFMNAZtHd740lSqOceWwvLo0kI9K6YnvK/KrKiPdgUrREQkuGamM1w8n2bvgRZCARlXCpAxIZ7ovYIbx49o+KIE1p7h/8QYOHEkmI02ASI2y1tO/gfH4ju578xsvZfT9BSskNLEu5engTR5GYgt1LNi0gtWGAUr6qNTZSAiIhJcJ44kCIVgzxXB2kc6Gt/JfKSNmyYO13spIqtqTUywfVeUU8cTpFPBzVp46YWHGVwY5VOPjSq7osoUrJDSdPVgZ6aw6VTzjt5ca3SpMivqq6Nz+fsWBStERCQ4Usksp08k2bE7RktrsHaxH+k9hLFZrp94rt5LEVnT/oMtpFMwfCK42RVhm+XNJ7/IsYmEsiuqLFifpBJ8XbnMilTTZ1YUKgOxUwpW1JPp6Fr+QZkVIiISIKeOJ8mkYd+h4O0fPdp3kP0zZ4in5+u9FJE19fSH6ekLcyygY0xzXnrhYQY7o8quqDIFK6QkpqvHb7DZxGUg0dUbbDI1AeGwN0JTai+XWRGNYULh+q5FRETEZ7OWE0eS9G0J090brMzT+VSGw127VQIiDcEYw76DLczNZLl4Pl3v5awqbLP89+sHvOyKYWVXVIuCFVKaeA/MzcDi4iYoAymQfjY1AfEeTEi/OnWR61mhrAoREQmQC+fSzM9l2XcweH+fHj8/T9aENbJUGsbQrigtrYbjAR5jCvDSvV0Mdkb528eVXVEtOuKS0nT540snRps3syIcgVCo8OjS6QmVgNRTLqNF/SpERCRAjh9O0NpuGNwRvElpj5yfoyWT5Mqpk/VeikhRQmHD3gMtjJxLMzsT3DGm4ZDhv18/wHFlV1SNghVSEtPV430zM+WNMm1CxhhvfGmh0aWTClbUVbtfBhLT2FIREQmGqYk0oyNp9h1oIRQK3mDQR87Nc+3kc0RtcA/6RFbac0WMUAiOPRv87IrtcWVXVIuCFVKaeM/y981aBgJeKcgq00A0trR+TDgM7R3QomCFiIgEwzOPLxKNmcCNKwUYmU1xdiapEhBpOC2tIXbvj3HqWJK52eAG2sIhg3Odl13xLWVXVJyCFVKaXGYFNG8ZCHg9EVaUgdhsBmamlVlRbx3x5b4iIiIidTQ6kmbkXJoDV7cQjQVvt/qR83MA3DSu5prSeA5e04oJwbOPL9Z7KWt66d4uhuJRPqXsiooL3qeqBFu8e/n7pg9WrCgDmZ4Cm1Wwot62DGJ6B+q9ChER2eSstTzz2AKtbYZ9B4LZS+mRc3P0tUXYOT9S76WIlKy1LcT+Qy2cOZViaiLAk0GUXVE1ClZIadraIeI3j2rmMpBoDLuyweb0BACmS8GKegr94Acx7/zhei9DREQ2uQtn00yMZTh0y/ZsWAAAn/BJREFUbSvhSPB6VWSylsfOz3HT9naCtzqR4hy4qoVozPBMwLMrXpKXXZFVdkXFKFghJTHGLJeCNHVmRezy0aVTXrBCmRX1Zdo7Ma3t9V6GiIhsYjbrZVV0xEPs2hfM/aFjE4vMJLPcNNhR76WIlC0aC3HgKm8yyNiIsis2GwUrpHS5UpBI8MZzVUyhnhUKVoiIiAgwfDLFzHSWq65vDeQEEPBKQABu3K5ghTS2vQdbaG0zPP3YQqB7QuSyKz6t7IqKUbBCSreUWdHEwYpo7PKeFQpWiIiIbHqZjOXZJxbo7g2zfWdw94UeOT/Pvt4WelqbuGxXNoVIxHDo2lYmxjJcOBvs7Ir/fr2fXXFa2RWVoGCFlMx0+ZkVTVwGYmIthctA2jswTfy6RUREZG0nn0uyMG+5+oZWrzw2gCYX0zw9Ms8tyqqQJrFrX4yOzhDPPL6AzQY3a+HFe7oYisfUu6JCFKyQ0uUyK5q6DCRWuAxEzTVFREQ2rXTKcuSpRQa2RhjYFtyMhS8fnyZj4WX7u9e/sUgDCIUMV17fysxUljOnUvVezqq87Ip+TkwmuF+9KzZMwQopXbzH+9rUZSAtkCowDUQlICIiIpvWscMJkgnLVQHOqrDW8sXnpjjY38ru7mCOVBUpx9CuKF09YZ55YpFsJrhZCy/e08XWjgifeXq83ktpeApWSOn8zIqmLoco0GCTqQmMghUiIiKbUiKR5blnFhncGaW3P7hZFUfHFzk5leCVyqqQJmOM4eobWlmYy3LyWHL9O9RJOGR4w9V9PH1xgadH5uu9nIamYIWUzGyKaSBeg81cx2FrrdezQsEKERGRTenoUwnSGbjq+tZ6L2VNX3xuiljY8OK9XfVeikjFbRmM0L81wuEnF0mngptd8aoreoi3hLlb2RUbomCFlG7/IcwLXgH7r6r3Sqon5qdNpv2auMUFL9NCwQoREZFNZ34uy4mjCXbtjRHvCtd7OatKZrLce3Ka5++M0xkL7jpFymWM4errW0kmLMcOJ9a/Q520RkJ8x6Ee7hue5fRUcNcZdApWSMlMazuhd/8EJt7EEftciUuuFERjS0VERDatw08uAnDo2mBnVXzr9CxzySyvvEIlINK8egciDO6I8tyziyQS2XovZ1WvO9RLLGz4R2VXlE3BCpFCcpkVSb8ezg9WGE0DERER2VQmx5OcPpFk74EW2juCvev8xWNTbGmPcP229novRaSqrrq+lXQKjj4d3KyF7tYIr7qim/86PsXYfHAnmARZsD9xReoldmlmhZ3OZVb01WlBIiIiUg8PfWuMSBgOXB3syRqj8ykeOTfHy/d3Ew4Fc1KJSKXEu8Ps3BvlxJEEszPBDQR899V9ZC380zMT9V5KQ1KwQqQAE/V3SHLjS6f89K3unrqsR0RERGpvYizNyWNzXHFVKy2twd5t/tKxKSxoCohsGlde55VlPXJ/cMsstnXGuHN3nH87MslcMlPv5TScYH/qitRLrgwkkQtWTEI4Ah3xui1JREREaiebtTz2wAJtbWH2Hwp2VoW1li8em+K6rW0Mxpt4tLxInvaOMHsPtHDk6RnGLqbrvZxVvemafhbSWT5/ZLLeS2k4ClaIFJIrA0nlelaMQ3cPxiitUkREZDM48tQi05MZXvCyLUSiwf77//TFBc7NpHjlFT31XopITV15XSudXREeuW+edDqYo0z397Vy02A79zw7QSoT3IagQaRghUghucwKP1hhpybVr0JERGSTmBxPc+SpBDv2RNmzv7Pey1nXF49N0RoJ8cLdygCVzSUSNbz4FduYn83y9KML9V7Oqt54TT8TC2n+6/h0vZfSUBSsECnkstGl49DVU7fliIiISG1kMpZH7psn1mK47pa2ei9nXYvpLF89OcOL9sRpjWjXXjafwR1t7DsY48TRJKMXgtls88bBdvb3tvCZp8fJ2mBmgASRPtFECvHLQGxudOn0JEaZFSIiIk3v8JOLzExlufG2dmKx4O8qf/3UDIvprBpryqZ21Q1tdHSGeOS+eVKp4AUDjDG88Zp+zkwnuX94tt7LaRjB/wQWqYdcGUgygU2nYWZKk0BERESa3MRYmqPPJNi1L8a2oWi9l1OULz43yVA8ytVbgp8FIlItkYjhpjvaWViwPPVIMMtB7twdZ1tnlH94ahyr7IqiKFghUkje6NLslD8XWZkVIiIiTSuTtjzyrXlaWw3X3tQYB/7nZ5I8MbLAK/Z3qwm4bHp9AxGuuLKFU8eSjJwLXjlIOGR4w1V9PDu6wNMXgxlQCRoFK0QKyRtdmp0YBcAos0JERKRpPfPEIrMzWW68vZ1orDEO/L94bIqQgZerBEQEyE0HCfHo/fOkksGbvPGqK7rpaglz91Pj9V5KQ1CwQqSQSASMgVSS7IT/YaLMChERkaY0fjHNsWcT7LkixtbBxij/yFrLl45NceNgBwPtjbFmkWoLhw03395OYtHy5MOL9V7OZVoiIb7jyl7uPzPLqalEvZcTeJF6L8BxnLcAHwauBm53XfeBVW73GuCjQBj4uOu6d9VskbLpGGO87IpUkoyfWUFXb30XJSIiIhWXTnvTP9o6QlxzY2OUfwA8dn6ei/Npvu/mrfVeikig9PRHOHB1C0eeSrB9VzRw/Wded6iXu58c4zNPjfPjL9he7+UEWhAyK54A3gTcu9oNHMcJA78PvBa4Bnib4zjX1GZ5smlFY5BMkJ30Mys0ulRERKTpPPPYAnOzWW66rY1ItDHKP8ArAemIhbhjV2e9lyISOAevaSXe7ZWDJBPBKgfpagnzqgM93HtiitH54PXWCJK6Z1a4rvs0gOM4a93sduCo67rH/Nt+CngD8FTVFyibVywGyaTXs6IjjokGKyorIiIiGzM6kuL4kST7DsYY2NY4f+dnkxm+eXqGV+7vJhYOwrlHkcrIvPe7Sr7PhVUuv7FzN1+7/cM8/of/yk0bWlXlveGqXv718AR3PznG+24brPdyAqvuwYoi7QBO5/08DNyx2o0dx3kf8D4A13UZGBio7uoaWCQS0fZZxWhbOxEDdmqCcN+AttMq9B5am7bP+rSN1qbtI1Id6ZTlkfsW6OgMcdUNjVP+AfDVk9MkM5ZXXqHGmiKr6Zo9xYHjn+XIFf+NwZEHGLz4YL2XtGRbZ4xvO9DDvx2Z5Duu7GNHV6zeSwqkmgQrHMf5D6BQyOgXXdf9bBEPUSgnb9XhtK7rfgz4WO52o6OjRTzF5jQwMIC2T2GZUJjM7AzRhTkynV3aTqvQe2ht2j7r0zZaW7W2z9DQUMUfU6RRWGt58pEFFuay3PmKTiKRxin/APjic1Ps6W7hQF9rvZciEmhXnPhnLmy5hSeufhc9U0dpTU7Ve0lL3nbDAF8+Ps1fPDzCL7x0Z72XE0g1CVa4rvuqDT7EMLAr7+edwNkNPqbI2mItkEyQmRzH7L+y3qsRERGRCjn2bIJTx5IcuLqFvi2NkmjsOT6xyOGxRd59y1avIbiIrCpkM9z45Mf4+u0f5oGbfornP/gbRDLBmBLS0xrhzdf285ePXuSJC/Nct6293ksKnEYpcrsfOOg4zj7HcWLAW4F76rwmaXZ+sCI7OaZJICIiIk3izKkkTz26yPZdUa66vrEyE6y1/OlDI3TGQrxiv0pARIoRnzvDzY/9P2Y6d/Pw9T9C1oTrvaQlr7+ql4H2CH/60AWydtXCgU2r7sEKx3He6DjOMPAC4F8cx/m8f/mQ4zifA3BdNw18APg88LR3kftkvdYsm0Q0BlMTkExCt4IVIiIijW50JM0j35qnb0uYm+9ob7jMhG8Oz/LY+XnefsMW4i3BOeASCbqtY49x3TN/zsWBG3ni6net3k+gxloiId550xaeG0/w5ePT9V5O4NQ978113c8Anylw+VngdXk/fw74XA2XJpucibVgxy96PyhYISIi0tBmpjI88NU52jtD3HZnB+FwYwUqEuksf/rgCHt6WnjNwZ56L0ek4ew6+2UWWvs4uv+NtC6OcejYZYegdfGSvV380zMT/OWjF3nh7jgtkbrnEwSGtoTIaqIxyHpzmY2CFSIiIg1rYT7LN++dJRSGO17SSayl8XaBP/v0OCNzKd7zvK2EQ40VaBEJioPHPsPOs/dydP8bOT30knovB4CQMbz7lq2Mzaf57DPj9V5OoDTeJ7VIrbS0LH+vYIWIiEhDSqUs9907SyppueMlHbR3NN7u7+h8ir9/cowX7o5zw2BHvZcj0rAMcN3Tf8bA6GM8cdW7GOm/od5LAuDabe3csbOTf3hynImFdL2XExiN92ktUivRvHnHClaIiIg0nGzG8sDX5piZznLrnR1099a9Arosf/HQRSzwrpu31nspIg0vZDPc8vjvEZ89xcM3/CiT8X31XhIA33fzVlKZLH/7mMa55yhYIbKamJ9ZEY1Bm85iiIiINBJrLY/eP8/ohTQ33tbO1sFovZdUlidH5rn35DRvvKaPrZ2N+RpEgiaSWeS2Rz5CLDnNAzf9FPNtW+q9JHZ0xXjtoV6+8NwkJycT9V5OIChYIbIaP7Mi1NvfcN3CRURENrtnHl9k+GSKK69rZde+2Pp3CKBM1vInD1xgoD3Cf7umv97LEWkqLckpbnv4/2BDYe6/6WdIRjvrvST++/UDtEVD/PlDI/VeSiAoWCGyGj+zItzTV+eFiIiISClOHE1w9OkEu/fHOHhNy/p3CKj/eG6K4xMJ3nXLVk0IEKmCzvlzPO+R32ahtZ8HbvxJMqH6Zi91tYRxruvnoXNzPHxurq5rCQJ96omsxg9WhHoH6rwQERERKYa1lmOHEzz+0AJbt0e4/nltDZsdOZvI8JePXuS6rW3cuTte7+WINK2+qSPc+OQfMdl9BfffXP8Mi+841MtgZ5Q/e2iETNbWdS31pmCFyGqWykCUWSEiIhJ02azl8QcXePLhBQaHojzvhR2EGnjE598+PspcMsN7bt3WsAEXkUaxfeQBbnzyj5nsPsDXb/tlZtu3120t0XCI771pCycnE3zx2FTd1hEEClaIrMK0KLNCRESkESQTWb715TlOPpfkwNUt3HpnO5FI4x7gn5pM8LnDE3z7gR729bbWezkim8KO89/gjgd/g3S4la/f9ktc7Luubmt54e44Vw208TePXmQhla3bOupNwQqR1eQyK9SzQkREJLBmpzN89T9mGR9Nc9Md7Vx9Q+OWfoBXyvInD16gPRri7TfWf0KByGbSO3WUO+//MG2LYzxw009zYuer6rIOYwzvft5WJhYz3P3UWF3WEAQKVoisJtdgU5kVIiIigXTxfIqv/scsqZTlBS/rZNfexpz6ke+bw7M8dn6et9+wha6WcL2XI7LptC2O8YIH/hdbxh7jqau+lyeu/F6ypvaHzVcOtPHSvV38/ZNjPHR2tubPHwQKVois5oqrMa9/G7Ebbq33SkRERGSFE0cTfOveOVrbDS9+dSd9WyL1XtKGJTNZ/uyhEfZ0t/Cagz31Xo7IphXJLPK8R3+H/Sf+hVO7XsX9N/0MqUh7zdfx/tu3sbu7hd/66lmOjW2+6SAKVoiswkSjhL7rbUu9K0RERKT+vEaa8zz+4AJbBiPc+co47R2Nn4FgreWTj1zkwmyK99y6lXADNwcVaQYGy1VHP831T32c8d6r+Pptv8Rc27aarqE9GuZ/vGwnsbDhg/c8xeRiuqbPX28KVoiIiIhIQ0gmstz3lTlOHE2y/8oWbn9RB9Fo4x/UW2v560dH+adnJviOQz3cMNhR7yWJiG/X2Xu546H/TTIa5+u3/zKjfdfW9Pm3dET5xZfuZGwuxa9/+QzJzOZpuKlghYiIiIgEmrWWU8cSfOlfZxi9kObG29q49qY2TJNkH3zq8VH+7skxvu1AN++5tbZnbkVkfX2Tz3Ln/R+mJTHFfbf8HI9e8x4Si7ULGhwaaOOXvv0Qz44u8P++cR5rbc2eu54UrBARERGRwJqaSPO1L87y6P0LdHSGePGrO9m9v3lKND/9+CifenyMV13RzQ/dPkiogSeZiDSz9oWLvPD+D7P/+D9xdvCFfOlzMxw/ksBmaxM4ePnBAd5x4wD3npzm049vjgkhjd+JSERERESaTjKZ5dnHFznxXJJYzHDT7e3s3Btt6LGkK/3dE6P8zWOjvGJ/Fz9yhwIVIkEXySS46rm/Y+e5r/LUG/8vTzy0wKljSa5/Xht9A9U/tH7ztf2cnUnyt4+PMtQV4yV7u6r+nPWkYIWIiIiIBIa1luETSZ56dJFk0rL3ihhXXd9KNNZcCcH/8OQYf/XoKC/b28UH7tiuQIVIA+mcP8fzX9rBueEUTz68wNe+OMuufTGuvqGVltbqfVYZY/jh2wc5P5Pid79xjq0dUa7a0la156u35vrUFxEREZGGlSv5eOQ+r+TjJa/u5PrntTddoOIfnx7jk49c5CV7uvixF2zX5A+RBmSMYWhXjJe/tosrrmph+ESSL31uhhNVLg2JhkP8/Et20N8e4de/PMyF2WTVnqvemuuTX0REREQazvRkhkfvn+feL8wyN5vlptvbuPOVnXT3Nl8S8D3PjPNnD13kzt1xfuKFClSINLpI1HDNjW289DVxunvDPP7QAvd+YZYzp5JkM9UJWnS1Rvj/Xr6TtLX8r/8aZi6Zqcrz1Fvz/QUQERERkcDLZi3nhlOcOJpg/GKGUBj2XhHjyutbiTVZJkXOPz87ziceHOEFu+L81J1DClSINJF4V5jnv6yDc6dTPP34Ig99Y56WVsPu/TH2XNFCW3tlP9d2drXwoRfv4MP/eZrf/OpZfu7FQ7RHwxV9jnpTsEJEREREamZxIcvJ5xKcfC5JYtHS3hHimhtb2bUvRqylOYMUmazln571Miqev6uTn3nREBEFKkSajjGGod0xtu+KMnI+zYkjCY48leDo0wkGd0TZezBG/5ZIxRoF3zDYwQ/dPsjvf+s8P/rPx3n/bYPctrOzIo8dBApWiIiIiEhVWWsZu5jhxNEE54dTWAtbt0fYe6CFrdsrt+MeNNZaHjw7xycfucjJyQR37OzkZ+7coUCFSJMzxrBte5Rt26PMzWY4+VySU8eSnBtOEe8KsfdACzv3xohEN/5Z8OoDPezsjvEH3zrP//ryMHfujvOeW7fR19b4h/qN/wpEREREJHCyWcv4aIaL51OcP5NidjpLNGbYd6iFvQdidHQ2V7rySs+OLvDJh0d4YmSBwc4oP/uiIV64O66pHyKbTEdnmGtubOPKa1s5cyrJiaNJHn9ogacfW2DbUJSt26NsGYxsaIrI1Vva+chr9/GZp8dwHx/jkXNzfN/NW3n1ge6G/sxRsEJEREREKmJhPsvIuRQj59KMXkiRToMx0DcQ5orb2hjaHSMSadwd52IMTyf4q0dG+cbpGbpbw/zgbdv4tgM9yqYQ2eTCEcPu/S3s2hdjctzLtrhwNsWZUykAunvDbN0eYev2KL19YUyJnxnRsMG5boA7d3fxh/ed5w/uO8+Xjk/xw3cMsru7pRovqeoUrBARERGRsqRTlonxNBfPpRk5l2JmOgtAa5tXt711e4SBbVGiFUh1DrrxhTSfemyULzw3SSwc4m03DPCGq/poizZnHw4RKY8xht7+CL39Eay1TE1kGPE/Q4887fW4iMYMW7ZF2Lo9Qv/WKG3txX+G7uiK8auv3MUXj03xZw+N8JOfO85/u7afN1/bTyzcWJ9HClaIiIiIyJqstSwuWKYnM0xNZpieyDA3M8f0lHdG0ISgf0uEXftibN0epbMr1LR9KPJlspbjEwm+fmqaf352goy1vPZQL851/fS0ajdbRNZmjKGnL0JPX4RD17aSTGQZvZD2ghfnU5w9nQIWiMYM/VuStHdk6eoJ09UTJt4VIhQu/DlrjOFVV/Rw645OPvHgCJ9+fIyvnpzh9Vf2cvP2Dgbjsdq+0DLpU1REREREAMikLQsLWRbmsszPZZmdyXoBiokMqaRdul17Z4gtW9vYvitMd2+Y/i2RijSKC7qstZyYSPD4hXkevzDPUyPzzKW8bJKX7Oni7TcOsL1BDgJEJHhiLSGGdscY2h3DWi9APDHqBYnnZ7OceC5BNuPd1oS8caldPSG6esK0d4Roaw/R1hEiFjNeIKQ1wk/fOcTL93Xx8QdH+KP7LwAwFI9y81Ant2zv4Lpt7bRGgplxoWCFiIiIiM9xnNcAHwXCwMdd171rxfXGv/51wDzw/a7rPlTzhZYom7Ekk5ZkwpJMZkkmvEyJhbksC/NeYGJh3rs8XygE8e4w23dGl87mdfWEiUYNAwMDjI6O1ukV1UY6a3ludI6vPDvO4xfmefLCPDNJLzixPR7lzj1xrt/m7ew3Q+d9EQkOYwzdvRG6e73PloGBAUZGLjI3m2V6IrOU6XbxfJrhE6lL7hsOsxS4aGsP0dke4eev28FMNsNzU4s8OT7Pfx2d4l+enSASMlyztY2bt3dwy/YO9vS0BCYzTp+qIiIiIoDjOGHg94FXA8PA/Y7j3OO67lN5N3stcND/dwfwh/7XDbPWYrOQzXqTNLJZL8iQyeJdnrFkMpBOWzIZSzqV93Pakk7jf/WCEqmkJZnIkkxaMunCzxkKQ7u/Q9vdG71k57a9w9DaFiLURI0hs9aSzFiS6SyJjGUmkWF8Ie39m08ztpBifN77eWwhzfRihlz4ZltnlDt2xbl+WzvXbWtnoD1a19ciIptPKGSId4WJd4XZsWf58kQiuxR8Xpj3AtHz895lUxOpFYHoENfSybWmE6KQDVnmx7KMXszwT49OkjaWSASiUUNLNERrS4j2lhAdrWG62sJ0t4fpag/TEgkRjRhCIQiF/a+h3M9UJOChYIWIiIiI53bgqOu6xwAcx/kU8AYgP1jxBuCTruta4JuO4/Q4jrPddd1zaz3w3//9OLndNmPBYMCCwfuHhRDl79hZLFkDWeN9zYTs8r8WyLTZSy5LhyAdypIJ5RYALPr/xot7zpbYRRLJZHHrs+vfBj8skLtp/n3sJT9bshYy1gvwZK0XhPC+Ln+fymRJZiyJjCWZyZJMW1LZtRfS3Rqmvy1CX1uEg/1t9LVFuGJ7L3vasmztVHBCRIKppSVES0uInr7C1+dK/JKLuSy7rBfQXsq4s8wvZJiZz5JOWciAWYTQooEZ7zEWsCyQ5gKrRL9XyGKXP8+N93fK+n9vLOD/GeTHf2xo1cfYFMGKoaHVN4Bo+xRD22ht2j5r0/ZZn7bR2rR9amYHcDrv52Euz5oodJsdwCXBCsdx3ge8D8B1XX7sx66r+GJFivYvD9R7BSJSAZttfyCYnTQqyHGcB1k+caF/K/5p+2gbafto+9T7n7ZRXbePXKrQNll5Kr6Y2+C67sdc173Vdd1bCcD7qBr/Nsvvrl5n8/3bLK9Vr7O5/jX56yyo6YMVIiIiIkUaBnbl/bwTOFvGbURERGSDNkUZiIiIiEgR7gcOOo6zDzgDvBV4+4rb3AN8wO9ncQcwtV6/ChERESndZsis+Fi9FxBw2j7r0zZam7bP2rR91qdttDZtnxpxXTcNfAD4PPC0d5H7pOM473cc5/3+zT4HHAOOAn8C/HBdFhsMm+W9qdfZfDbLa9XrbC6b5XUuMba49swiIiIiIiIiIjWxGTIrRERERERERKSBKFghIiIiIiIiIoHStA02Hcd5DfBRIAx83HXdu+q8pLpzHOdPge8ERlzXvc6/rA/4NLAXOAE4rutO1GuN9eQ4zi7gk8AgkAU+5rruR7WNPI7jtAL3Ai14nx1/77ruL2v7XM5xnDDwAHDGdd3v1DZa5jjOCWAGyABp13Vv1fa5lOM4PcDHgevwRmK+G3gWbSMJIMdxfhV4A97fzRHg+13XbbrpKI7j/BbweiAJPAe8y3Xdybouqgocx3kL8GHgauB213UfqO+KKmuzHB8U2udvRqvtu9d3VZW32j54fVdVG02ZWeEfKPw+8FrgGuBtjuNcU99VBcKfA69ZcdmHgC+6rnsQ+KL/82aVBn7add2rgecDP+K/b7SNPAngFa7r3gjcBLzGcZzno+1TyI/jNefL0Ta61Mtd173Jdd1b/Z+1fS71UeDfXNe9CrgR772kbSRB9Vuu697guu5NwD8Dv1Tn9VTLF4DrXNe9ATgM/Hyd11MtTwBvwjswaiqb7Pjgz7l8n78Zrbbv3mxW2wdvek0ZrABuB466rnvMdd0k8Cm8qP+m5rruvcD4iovfAPyF//1fAN9dyzUFieu651zXfcj/fgbvAGEH2kYAuK5rXded9X+M+v8s2j6XcBxnJ/AdeGfGc7SN1qbt43Mcpwt4CfAJANd1k/7ZW20jCSTXdafzfuzA+7vQdFzX/Xd/WgzAN4Gd9VxPtbiu+7Trus/Wex1VsmmOD1bZ5286a+y7N5U19sGbXrMGK3YAp/N+HqYJ37gVsi03H97/urXO6wkEx3H2AjcD30LbaInjOGHHcR7BS/X9guu62j6X+x3gg3jpiDnaRsss8O+O4zzoOM77/Mu0fZbtBy4Cf+Y4zsOO43zccZwOtI0kwBzH+TXHcU4D30PzZlbkezfwr/VehJRMxwdNbMW+e9NZZR+86TVrzwpT4LJNEX2SjXMcpxP4B+AnXNeddhyn3ksKDNd1M8BNfk39ZxzHado6yHI4jpOrD33QcZyX1Xs9AXWn67pnHcfZCnzBcZxn6r2ggIkAtwA/6rrutxzH+Sgq+ZA6cxznP/Bqwlf6Rdd1P+u67i8Cv+g4zs8DHwAaspZ6vdfp3+YX8VLP/7qWa6ukYl5nk9LxQZNaue9e7/VUQ6F9cNd1n6jzsqquWYMVw8CuvJ93Ak3X7KlCLjiOs9113XOO42zHi9ZtWo7jRPE+7P7add27/Yu1jVZwXXfScZz/wquH1PZZdifwXY7jvA5oBbocx/krtI2W5Brvua474jjOZ/DScrV9lg0Dw3lnTP4eL1ihbSR147ruq4q86d8A/0KDBivWe52O43wfXtPCV7qu27AHuSX8fzYbHR80oVX23ZvWin3wpg9WNGsZyP3AQcdx9jmOEwPeCtxT5zUF1T3A9/nffx/QzBH1NTmOY/DqxJ92XfcjeVdpGwGO42zxo7k4jtMGvAp4Bm2fJa7r/rzrujtd192L97nzn67rvgNtIwAcx+lwHCee+x74Nrw/tNo+Ptd1zwOnHce50r/olcBTaBtJQDmOczDvx+/C+7vQdPwpEj8HfJfruvP1Xo+URccHTWaNffemssY+eNMz1jZsYHhN/pnN38EbTfSnruv+Wn1XVH+O4/wt8DJgALiAd+bjHwEX2A2cAt7ium7TN+QpxHGcFwFfAR5nud/AL+DVvm36beQ4zg14jf3CeIFO13XdX3Ecpx9tn8v4ZSA/448u1TYCHMfZD3zG/zEC/I3rur+m7XMpx3FuwmvQGgOOAe/C/51D20gCxnGcfwCuxPu7eRJ4v+u6Z+q7qspzHOco3tjAMf+ib7qu+/46LqkqHMd5I/D/gC3AJPCI67rfXtdFVdBmOT4otM/vuu4n6rqoKlht39113c/Vb1WVt9o+eH1XVRtNG6wQERERERERkcbUrGUgIiIiIiIiItKgFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRERERERERCRQFKwQERERERERkUBRsEJEREREREREAkXBChEREREREREJFAUrRKTujDEnjDH/o97rEBERkeaifQyRxqVghUgTMMb8uTHGGmN+u8B11hjzjnqsq9KMMf/NGHOvMWbaGLNgjHnMGPNBY0y0hMe4wt9eZ40xSf/rnxtj9ldz7SIiIs3OGNNvjPlNY8yzxphFY8yI/3f7e40xkXqvT0Qai4IVIs1jAfgRY8yhSj+wMSZW6ccsYw3/E/gU8J/AC4BrgI8APw18rpidIGPMzcADwE7gbcAB4K3ADuBBY8xNVVm8iIhIkzPG7AQeAv4b8CvALcCdwCeAnwGuK/NxL9sHMZ6iT1TUQhD2lUSajYIVIs3j68CDwG+tdSNjzHZjzKeMMZN+dsJ/GWNuzbv+ZX42xncYY75qjFkE3udnH/yHMeZHjTHDxphZY8zHjTFRY8z7jTEnjTETxpiP5f/BNsa82n+OcWPMlDHmy8aY20t5YcaY5wG/BPyitfbD1tonrbXHrbV/DrwBeBXwY+s8hgH+HDgNvMZa+2Vr7Slr7b3Aa4Fh4M/924mIiEhp/hBoAW6x1v61tfYpa+0Ra+1fAM8Djvj7DHcZY8742Y1PGWPenv8g/j7Ijxlj/sYYMwX8tTHm+40xaWPMy40xDwMJ4NuNMRFjzIeNMcf9TI4njTE/uNYijTFxY8wfG2Mu+vd5wBjzbStuc7Mx5pv+9YeNMW9eWU5SaJ3+5b9mjHnaGDNvjDltjPkjY0x33v3yX8vj/r7Yl40xQ8aYlxhjHjbGzPn7XDs29l8i0tgUrBBpLj8JvN4Y8/JCV/oH4v8IXAV8J3A7cAH4gjFmYMXN/y/wm8DV/n0AbgNuBV4NvB14B/BZ4IV4B/zv9P/9QN7jdAK/Dzzfv90R4N+MMf0lvK53APPAR1deYa39Jl62xXqlLjf4/37TWpte8RhpvNd6I3B9CesSERHZ9IwxfcDrgN+z1k6tvN5am7LWzgG/DrwX+Am8TIu/Av7KGPPKFXf5ZeAbeNkZv+hfFsL7W/3TePsx3wI+DrwJ+EG8/ZVfAf63MeYHWN2fAt+Ot99wM/A14J+NMVf5r6Ud+BxwEW8/6XuBnwK2FnisQutcAN6HlwH6/cDLgN9dcb+Qf9/34GWfDAGf9tf/Q8CL8LJAP7LG6xBpeqodE2ki1tpvGmM+DXzEGPM8a212xU1egfeH91pr7VMAxpjvBU4AP4z3RzLn16y19+R+8BMOEsB7rbVJ4GljzBeBO4Ad1toE8JQx5t+BV+KdYcFa+5n8BRhj3oeXIvoa/LMQRbgSOOo/RyFPcmmAZLXHyN12tcfI3e6xItclIiIiXlllCHhqtRv4QYAfA37SWvt3/sW/boy5De9A/4t5N/9Ha+3/y7vvCwED/JS19iv+ZfvwAgnXWGuf8W963BhzJfCjeOUnK9dwAHgz8B3W2s/7F/+4MebFwAeBdwPfA8SBd+QCL8aYdwNPF3hZl6wTwFr7v/J+PGGM+XngU8aYd+XtlxngJ6y1j/iP/zG8QMyt1toH/cv+mOUAiMimpMwKkebzIbwzDt9f4LprgbFcoALADwB8y78u330F7v+0H6jIOQ88uyKIcJ68sw/GmH3GmL80xhw1xkwD00A3sKf4l0QxpRkp//l2+yUquX9/VMJjLD2OiIiIFC33N9aucZsDQAy4d8XlX6a4fRCA+/O+v9V/3gfy/+4DvwAcXOX+1/hfV67h3rw1XIO3v7OUIeIHQyYLPN5l6zTGvMl4TUXP+uv5a7zXPZh3Mws8nvfzef/rYysu6zfGhFd5LSJNT5kVIk3GWnvSeFNB/pcxxi10kwKXmQKXzxW43coDebvKZfmB0H8GRoEfwesXkQS+iveHu1jPAC8xxrSskl1xLXDY//4scFPeddN5jwFe2unDqzwGeY8jIiIixTkCZPH+ln5mnduu3N8odh8kY61dzPs5t6/xQrxS0bWeYz0r11Ds/S9ZpzHmDuDvgN8AfhaYwCuD/Qsu3e/JWmszK5/PWptaeRnFn2wRaTrKrBBpTr+B9/v9cysufxIYMMbkzixgjGnBKw1ZrTyibH5fimuAu6y1n/czOhYpXPe5lr8C2oEfL/Acd+CVt/w5eP0nrLVH8/6N+Dd9zP/3s2bF5BD/5w8CD+RnnYiIiMj6rLXjwL8CH8hvJpljvMkdz+GVk750xdUvobx9kAf9r7tX/N0/aq19bpX75J7nJSsuf3HedU8BV69oinkl0FPEml4EjFpr/4e19lvW2sN4vSdEpAwKVog0IWvtDPD/4TWhyvefeCmLf2OMudMYcx3wSaAVv8dEhU3gNah6rzHmkDHmBcDf4jWfKppfv/krwK/5Xb+vMcbsNcZ8P3AP8C/AH6/zGBavNGY38K9+x+1dfp3q5/DGl35vSa9OREREcn4YL9vyQWPM2/2/1QeMMe/AGxt+EK/R5K8aY95ijDlojPkFvKlev17qk1lrj+I1y/wTY8w7/ee60RjzbmPMypM1ufs8h5f58AfGmG83xlxljPkoXtZlbpraXwOzwCeNMTf4J0U+gbfvsl7GxbPAFmPMDxhj9vt9wX641NcmIh4FK0Sa1yfw0jKX+Afs341XEvEveLWfg8CrrbWjlV6A30jqLcAVeFkNfw78DnCujMf6ZeBteFkU3wKOA3/m/3vDinTK1R7jYbzxaWfxum6fwKtT3YbXdLRQ8ywRERFZh7X2FN5UjM8CHwYewhur/l68QMATeA0j/wRvX+BJvIkc77DWfvHyRyzK+4Df9h/3Kbwmnd8HHFvjPu8BPo+Xtfko3jSO78w16bTWzuNNNtmGt5/0V/56Z/GyQ1dlrf1n4Nfwgi+PA2/FKwcRkTIY79hFRKSxGGPaWB7D+jJr7fEyH+e9eFkl77fWfrxyKxQREZFmYIzZg3eC47ustf9U5+WIbBoKVohIw/L7bfw4cNFa+2cbeJzX481a/31r7Vil1iciIiKNxy9dOYOXxbkHb6zoNuDKNcaoi0iFKVghIiIim4rjOH8KfCcw4rrudQWuN8BH8VLB54Hvd133If+61/jXhYGPu657V80WLiI1YYz5ceDH8PpZjQNfA37aL3URkRpRzwoRERHZbP4ceM0a178WrxngQbya+D8EcBwnDPy+f/01wNscx7lmtQcRkcZkrf2otfYKa22rtXbIWvsWBSpEak/BChEREdlUXNe9F+9s6WreAHzSdV3ruu43gR7HcbbjjXk+6rruMdd1k8Cn/NuKiIhIhUXqvYAaUJ2LiIhIYabeCwioHcDpvJ+H/csKXX5HoQdwHOd9eFkZuK77vOosU0REpCkU3B/ZDMEKzp49W9XHHxgYYHS04lMfa65ZXgfotQSVXkvwNMvrAL2WUg0NDVX18RtcoZ0mu8bll3Fd92PAx3K3qcS+iH30frJ/8luQyJue2NJK6L0/i7nxtg0//mbRTJ8VtaZtVz5tu/Jp25WvEbbdWvsjKgMRERERudQwsCvv553A2TUur43rb4F9h8D4MZOWVu/n62+p2RJERERqZVNkVoiIiIiU4B7gA47jfAqvzGPKdd1zjuNcBA46jrMPb6zhW4G312pRJhQm9JP/k+z//HFC6RQ474Hrb8GEwrVagoiISM0oWCEiIiKbiuM4fwu8DBhwHGcY+GUgCuC67h8Bn8MbW3oUb3Tpu/zr0o7jfAD4PN7o0j91XffJWq7dhMLQ2UU4GiWr0g8REWliClaIiIjIpuK67tvWud4CP7LKdZ/DC2aIiIhIFalnhYiIiIiIiIgEioIVIiIiIiIiIhIoClaIiIiIiIiISKAoWCEiIiIiIiIigaJghYiIiIiIiIgEioIVIiIiIiIiIhIoClaIiIiIiIiISKAoWCEiIiIiIiIigaJghYiIiIiIiIgEioIVIiIiIiIiIhIoClaIiIiIiIiISKAoWCEiItIk7r67jdtv38rOndu5/fat3H13W72XJCIiIlKWSL0XICIiIht3991tfPCD3SwseOchzpyJ8MEPdgPwpjct1HNpIiIiIiULRLDCcZxdwCeBQSALfMx13Y+uuM3LgM8Cx/2L7nZd91dquU4REZGguuuu+FKgImdhIcRdd8UVrBAREZGGE4hgBZAGftp13Yccx4kDDzqO8wXXdZ9acbuvuK77nXVYn4iISKCdPRsu6XIRERGRIAtEzwrXdc+5rvuQ//0M8DSwo76rEhERaRxDQ5mSLhcREREJsqBkVixxHGcvcDPwrQJXv8BxnEeBs8DPuK775CqP8T7gfQCu6zIwMFCl1XoikUjVn6MWmuV1gF5LUOm1BE+zvA7Qa/m1X4Mf/mHL/LxZuqy93fJrv0bTbBcRERHZPAIVrHAcpxP4B+AnXNedXnH1Q8Ae13VnHcd5HfCPwMFCj+O67seAj/k/2tHR0Sqt2DMwMEC1n6MWmuV1gF5LUOm1BE+zvA7Qa3n1q+F//+827rorztmzYYaGMnzoQzO8+tULFHqooaGhCq1WREREpPICUQYC4DhOFC9Q8deu69698nrXdadd1531v/8cEHUcR6eKREREfG960wL33TfC8PA57rtvRI01RUREpGEFIljhOI4BPgE87bruR1a5zaB/OxzHuR1v7WO1W6WIiIiIiIiI1EJQykDuBN4JPO44ziP+Zb8A7AZwXfePgDcDP+Q4ThpYAN7quq6tw1pFREREREREpIoCEaxwXfergFnnNr8H/F5tViQiIiIiIiIi9RKIMhARERERERERkRwFK0REREREREQkUBSsEBEREREREZFAUbBCRESkCu6+u43bb9/Kzp3buf32rdx9d1u9lyQiIiLSMALRYFNERKSZ3H13Gx/8YDcLC945gTNnInzwg90AvOlNC/VcmoiIiEhDUGaFiIhIhd11V3wpUJGzsBDirrvidVqRiIiISGNRsEJERKTCzp4Nl3R5RaXTxL761eo/j4iIiEgVKVghIiJSYUNDmZIurxQzP0/fu95F/1vfSuTw4ao+l4iIiEg1KVghIiLiq1RTzA99aIa2tuwll7W1ZfnQh2YqscyCQqOj9L/5zbT8138x9Ru/QfrQoao9l4iIiEi1qcGmiIgIlW2Kmbv9XXfFOXs2zNBQhg99aKZqzTXDx47R/453ELpwgfFPfILEt31bVZ5HREREpFYUrBAREWHtppjlBBne9KaFmkz+iD70EH3f930AjP3d35G65ZaqP6eIiIhItakMREREhDo3xSxTy7//O/1veQu2q4vRz35WgQoRERFpGgpWiIiIUL+mmOVq/+Qn6fuBHyB91VWMfvazZPbvr/eSRERERCpGwQoRERHq0xSzLNYSv+suen7+50m8/OWM/d3fkR0YqPeqRERERCpKPStERESofVPMsiST9Pzsz9L+93/P3Pd8D1O//usQ0Z9yERERaT7awxEREfHVqilmOczsLL3vfS+t997L9M/8DLM/8RNgTL2XJSIiIlIVKgMREZGmc/fdbdx++1Z27tzO7bdv5e672+q9pA0JXbjAwJveRMvXvsbERz7C7E/+pAIVIiIi0tSUWSEiIk3l7rvb+OAHu5fGkJ45E+GDH+wGCGzWxFoiR47Q9453EBofZ/wv/oLEy19e7yWJiIiIVJ0yK0REpKncdVd8KVCRs7AQ4q674nVaUfli993HwHd/NyaRYOwf/kGBChEREdk0FKwQEZGmcvZsuKTLg6r1X/6F/re+lWxfH6P33EPqhhvqvSQRERGRmlGwQkREmsrQUKaky4Mo9Hu/R+8P/iCp665j9LOfJbN7d72XJCIiIlJTClaIiEhT+dCHZmhry15yWVtblg99aKZOKypBNkvXr/4qkZ/+aRa//dsZ/fSnyfb11XtVIiIiIjWnYIWIiAReKdM93vSmBX7zN6fYsSONMZYdO9L85m9OBb+5ZiJBzwc+QOcf/RGZH/xBJj72MWhr7CkmIiIiIuXSNBAREQm0cqZ7vOlNC8EPTuQxU1P0vec9tHz960z/wi/Q+ku/BGNj9V6WiIiISN0os0JERAKtmaZ7FBI6e5aBN72J2P33M/G7v8vsj/wIGFPvZYmIiIjUlTIrREQk0JplukchkWeeof8d78DMzDD2l39J8sUvrveSNg3HcV4DfBQIAx93XfeuFdf/LPA9/o8R4Gpgi+u6447jnABmgAyQdl331potXEREZJNQsEJERAJtaCjDmTOX/7lqpOkehcS+9jX63vMebHs7o3ffTfraa+u9pE3DcZww8PvAq4Fh4H7Hce5xXfep3G1c1/0t4Lf8278e+EnXdcfzHublruuO1nDZIiIim4rKQEREJNAaerrHKlo/+1n63/EOMoODjN5zjwIVtXc7cNR13WOu6yaBTwFvWOP2bwP+tiYrExEREUCZFSIiEnC5Rpl33RXn7NkwQ0MZPvShmYZqoLnEWjr++I/p/tVfJfH85zP+iU9ge3rqvarNaAdwOu/nYeCOQjd0HKcdeA3wgbyLLfDvjuNY4I9d1/1Ygfu9D3gfgOu6DAwMVGjpMB6NYoyp6GNuJpFIRNuuTNp25dO2K5+2XfkafdspWCEiIoHXaNM9Cspk6Pqf/5POT3yChde/nonf+R1oba33qjarQh1M7Sq3fT3wtRUlIHe6rnvWcZytwBccx3nGdd178+/kBzByQQw7Olq5ipFMKkU0GqWSj7mZDAwMaNuVSduufNp25dO2K18jbLuhoaFVr1MZiIiISLUtLtL7/vfT+YlPMPve9zLxB3+gQEV9DQO78n7eCZxd5bZvZUUJiOu6Z/2vI8Bn8MpKREREpIKUWSEiIlJFZmKCvne/m5b77mPql3+Zufe9r95LErgfOOg4zj7gDF5A4u0rb+Q4TjfwUuAdeZd1ACHXdWf8778N+JWarFpERGQTUWaFiIhIlYSHhxl44xuJPfII43/4hwpUBITrumm8HhSfB572LnKfdBzn/2/v3sPjqsrFj38nl7bTNqRNQ6VJQVBB8ehRfkcr6DmCB0FBLhphAUK5U64qCpQAKhdRYxUE5Vrud1hgChULKHhBPSjgHUUBAaFJoaTXtE3bJDO/P2ZS0jRJJ2mSmSTfz/Pkmdl7r73nXXvSNPNmrXedFEI4qVPTzwA/iTGu7rTvLcCvQwh/Bp4EfhxjfHioYpckabRwZIUkSYOg5JlnmHLkkSTWrmXJnXeyfrfd8h2SOokxLgAWdNl3TZftm4Gbu+x7EXjfIIcnSdKo58gKSZIG2NjHH6eypoZ0cTFN8+aZqJAkSeojkxWSJA2g5L33UjFzJu3bbUfT/Pm0vfOd+Q5JkiRp2DFZIUnSQEinmfj97zP59NNZv+uuNNXXk5o2Ld9RSZIkDUvWrJAkaUu1tVH+la8w4bbbWFNTw/JLLoExY/IdlSRJ0rBlskKSpC2QaGlh8sknM+6nP6X51FNprq2FIgcuSpIkbQmTFZIk9VPRkiVUHHUUpX/6E8u/8Q3WHH10vkOSJEkaEUxWSJLUD8Uvv8yUI46geNEill13HWv32SffIUmSJI0YJiskSeqj0j/9iYqjjiLR1kbT3XfT+sEP5jskSZKkEcVJtZIk9cHYxx5jykEHkU4meeOBB0xUSJIkDQKTFZKkvKmvTzJjxlSmT5/GjBlTqa9P5jukXo2/6y4qjjmGtne8g6b582l/xzvyHZIkSdKIVBDTQEII2wK3AtsAKWBujPHyLm0SwOXAvsAa4OgY4x+GOlZJ0sCor08ye3Y5LS2ZvHlDQwmzZ5cDUFPTks/QNpVOU3bppZRdeilr99iDZddeS3rixHxHJUmSNGIVysiKNuCMGOPOwK7AqSGEd3dpsw+wY/ZrFnD10IYoSRpIdXVlGxIVHVpaiqirK8tTRD1obaX8zDMpu/RS1oTA0ptvNlEhSZI0yAoiWRFjXNQxSiLG2Aw8C1R3aXYgcGuMMR1j/C0wKYQwbYhDlSQNkMbG4j7tz4fE6tVUHHMME+6+m+bTT2f5pZdCaWm+w5IkSRrxCmIaSGchhO2BXYDfdTlUDbzaaXthdt+ibq4xi8zoC2KMVFZWDkqsHUpKSgb9NYbCSOkH2JdCZV8KTz77se228Mor3e/vT0wD3pfXX6fk0ENJ/OlPtF15JWOPP56xA3f1Xo2U7y9JkqT+KqhkRQhhIvBD4PQY48ouhxPdnJLu7joxxrnA3I42TU1NAxdkNyorKxns1xgKI6UfYF8KlX0pPPnsx1lnbVyzAiCZTHHWWStoaup7zYqB7EvxCy8wZeZMeOMNlt54I+v22guG8D4NxftSVVU1qNeXJEnaEgWTrAghlJJJVNwRY6zvpslCYNtO29OBxqGITZI08DqKaNbVldHYWExVVTu1tc15L65Z+vTTVBx9NBQVseTee2ndZZe8xiNJkjQaFUSyIrvSxw3AszHGS3toNh84LYRwN/AhYEWMcZMpIJKk4aOmpiXvyYnOxj38MJNPPZX2bbZhye23077DDvkOSZIkaVQqiGQF8BFgJvDXEMKfsvvOBbYDiDFeAywgs2zpC2SWLj1m6MOUJI1U42+5hfKvfIXW//xPlt5yCylrRkiSJOVNQSQrYoy/pvuaFJ3bpIFThyYiSdKokU5TVldH2RVXsPbjH2fZ1VeTHj8+31FJkiSNagWRrJAkKS/Wr2fSGWcwvr6e1YcfzopvfhNK/K9RkiQp3/yNTJI0KiWam6k44QTG/upXrDzrLFZ98YuQ6HWQnyRJkoaIyQpJ0qhT9NprTDniCEqef55ll15KyyGH5DskSZIkdWKyQpI0qpQ89xwVRxxB0bJlLL3lFtbtsUe+Q5IkSVIXJiskSaPGmN/9jopjjiE9ZgxL6utpfe978x2SJEmSulGU7wAkSRoK4x58kCmHHUZ7ZSVN8+ebqJAkSSpgJiskSSPehOuuY/JJJ9H63vfSdP/9tG+3Xb5DkiRJUi+cBiJJGrlSKbb6+teZOHcuLfvsw7If/ACSyXxHJUmSpM0wWSFJGpnWrWPy6aeTnD+fVcccw8oLL4Ti4nxHJUmSpByYrJAkjTiJFSuoOO44xj7xBCvPO49VJ58MiUS+w5IkSVKOTFZIkkaUooYGpsycScmLL7LsBz+gpaYm3yFJkiSpj0xWSJJGjJJnn2XKEUeQWL2aJbfdxvr/+Z98hyRJkqR+MFkhSRoREj//OZUHH0x6wgSa6utpe/e78x2SJEmS+smlSyVJw15y3jxK9t+f9mnTaJo/30SFJEnSMGeyQpI0fKXTTLzqKiafdhrp3Xajad482qur8x2VJEmStpDTQCRJw1N7O1udfz4Tb7qJlv33p/iOO0g3N+c7KkmSJA0AR1ZIkoaflhYmn3giE2+6iVWzZrHsqqtg7Nh8RyVJkqQB4sgKSdKwkli6lIpjj2XM00+z4oILWH3CCfkOSZIkSQPMZIUkadgofvVVKg4/nJJXX2XZ1Vezdv/98x2SJEmSBoHJCknSsFDyzDNMmTmTxLp1LLnrLtbvumu+Q5IkSdIgsWaFJKngjf3lL6msqSFdUkLTvHkmKiRJkkY4kxWSpIKWvOceKo48kvbttqNp/nza3vnOfIckSZKkQWayQpJUmNJpJl52GZO//GXW77orTfPmkZo2Ld9RSZIkaQhYs0KSVHja2ig/91wm3HEHa2pqWH7JJTBmTL6jkiRJ0hAxWSFJKiiJNWuYfMopjPvpT2k+7TSaa2shkch3WJIkSRpCJiskSQWjaMkSKo46itI//5nl3/gGa44+Ot8hSZIkKQ9MVkiSCkLxyy8z5fDDKX7tNZZdfz1rP/GJfIckSZKkPDFZIUnKu9I//pGKo46CVIqme+6h9QMfyHdIGuFCCJ8ELgeKgetjjHVdju8BPAC8lN1VH2O8KJdzJUnSljNZIUnKq7E//SmTTz6Z1NZbs+T222l/+9vzHZJGuBBCMXAlsBewEHgqhDA/xvj3Lk1/FWPcr5/nSpKkLeDSpZKkvBl/551UHHccbTvuSNP8+SYqNFRmAC/EGF+MMa4H7gYOHIJzJUlSjhxZIUkaeuk0ZZdcQtn3vsfaj32MZddeS3rChHxHpdGjGni10/ZC4EPdtNsthPBnoBE4M8b4t1zPDSHMAmYBxBiprKwcoNBhaWkpiURiQK85mpSUlHjv+sl713/eu/7z3vXfcL93JiskSUOrtZVJZ5/N+HvuYfWhh7Kirg5KS/MdlUaX7tbCTXfZ/gPw1hjjqhDCvsD9wI45nkuMcS4wt+N4U1NT/6Ptor21ldLSUgbymqNJZWWl966fvHf9573rP+9d/w2He1dVVdXjMaeBSJKGTGL1aiqOOYbx99xD85e/zIrvftdEhfJhIbBtp+3pZEZPbBBjXBljXJV9vgAoDSFU5nKuJEnaco6skCQNiaLFi6k48khK//53ln/nO6z53OfyHZJGr6eAHUMIOwANwKHARt+QIYRtgNdjjOkQwgwyf+BZAizf3LmSJGnLObJCkjToil94gcoDD6TkhRdYetNNJiqUVzHGNuA04BHg2cyu+LcQwkkhhJOyzQ4CnsnWrPg+cGiMMd3TuUPfC0mSRjZHVkiSBlXp009TcfTRUFTEkvvuo/X97893SFLH1I4FXfZd0+n5FcAVuZ4rSZIGliMrJEmDZtzDD1N5yCGkJ02iaf58ExWSJEnKickKSdKgGH/zzUw+4QRad96ZpgceoH377fMdkiRJkoYJp4FIkgZWKkVZXR1lV15Jy957s/yqq0gnk/mOSpIkScOIyQpJ0sBZv55JZ5zB+Pp6Vs+cyYqLL4YS/6uRJElS3zgNRJI0IBIrVzJl5kzG19ez8uyzuemDlzHjw1VMnz6NGTOmUl/v6ApJkiTlxj93SZK2WNGiRUyZOZOS559n2WWXcUfxkcyeXU5LSyYn3tBQwuzZ5QDU1LTkM1RJkiQNA46skCRtkZJ//pPKAw6g+JVXWHrrrbQcfDB1dWUbEhUdWlqKqKsry1OUkiRJGk4KZmRFCOFGYD9gcYzxPd0c3wN4AHgpu6s+xnjR0EUoSepqzBNPUHHccaTHjqWpvp6292R+fDc2Fnfbvqf9kiRJUmcFk6wAbgauAG7tpc2vYoz7DU04kqTejPvRj5j8hS/Qtt12LL39dtq33XbDsaqqdhoaNv0vpqqqfShDlCRJ0jBVMNNAYoyPA0vzHYckafMmzJ1LxUknsf5976Pp/vs3SlQA1NY2k0ymNtqXTKaorW0eyjAlSZI0TBXSyIpc7BZC+DPQCJwZY/xbvgOSpFEllWKriy5i4nXX0bLvviz7/vchuekqHx1FNOvqymhsLKaqqp3a2maLa0qSJCknwylZ8QfgrTHGVSGEfYH7gR27axhCmAXMAogxUllZOaiBlZSUDPprDIWR0g+wL4XKvhSePvVj7VqKjzuO4vvuo/3UUyn+zneoLO65BsWsWTBrVgroGGExIfs1OEbKewIjqy+SJEn9MWySFTHGlZ2eLwghXBVCqIwxNnXTdi4wN7uZbmrapMmAqqysZLBfYyiMlH6AfSlU9qXw5NqPxPLlVBx3HMW//S0rvvpVVp94IixbNgQR5m6kvCcwNH2pqqoa1OtLkiRtiWGTrAghbAO8HmNMhxBmkKm3sSTPYUnSiFfc0EDFEUdQ8tJLLLvySlo+/el8hyRJkqQRrmCSFSGEu4A9gMoQwkLgfKAUIMZ4DXAQcHIIoQ1oAQ6NMabzFK4kjQolf/87U2bOJLF6NUvuuIP1H/nIhmP19UlrUkiSJGlQFEyyIsZ42GaOX0FmaVNJ0hAY86tfUXH88aQnTqRp3jzadt55w7H6+iSzZ5fT0pJZVKqhoYTZs8sBTFhIkiRpixXM0qWSpMKRrK9nysyZtFdX88b8+RslKiCzykdHoqJDS0sRdXVlQxmmJEmSRiiTFZKkN6XTTLziCiZ//vOs/8AHaJo3j1R19SbNGhu7XwWkp/2SJElSX5iskCRltLdTft55bPWtb7HmwANZcscdpMvLu21aVdXep/2SJElSX5iskCRBSwuTZ81iwi23sOqkk1h+xRUwdmyPzWtrm0kmUxvtSyZT1NY2D3akkiRJGgVMVkjSKJdYupTKQw5h3COPsOLCC1n51a9CURH19UlmzJjK9OnTmDFjKvX1yQ3n1NS0MGfOCqqr20gk0lRXtzFnzgqLa0qSJGlAFMxqIJKkPHjpJbY+8ECKGxpYds01rN1vPyC31T5qalpMTkiSJGlQOLJCkkap0r/8hdLdd6do6VKW3HXXhkQFuNqHJEmS8stkhSSNQmN//nOmfPazMHYsd536EO///P4bTfdwtQ9JkiTlk8kKSRplkvfcQ8VRR9G+/fbc+6VfccKlM2hoKCGdTmyY7jFpUqrbc13tQ5IkSUPBZIUkjRbpNBO/9z0mf/nLrPvIR2iqr+es723b7XSPdBpX+5AkSVLemKyQpNGgrY3ys89mq+9+lzUHHcTSW24hXVbGq69233zFiiJX+5AkSVLeuBqIJI1wiTVrmHzyyYx79FGaTzuN5tpaSCQA2HZbeOWVTc+pqmp3tQ9JkiTljSMrJGkEK2pqYkoIjP3Zz1j+rW/RfM45GxIVABdd1O50D0mSJBUcR1ZI0ghV/NJLTDniCIpee42lN9zAur333qTNYYelaG5upq6ujMbGYqqq2qmtbXZEhSRJkvLKZIUkjUClf/wjFUcdBakUS2Kk9b/+q8e2TveQJElSoXEaiCSNMGMffZQpBx9MesIEmh54oNdEhSRJklSITFZI0ggy/vbbqTjmGNp23JGm+fNpf/vb8x2SJEmS1GcmKyRpJEinKZszh0lnn826PfZgyX33kdp663xHJUmSJPWLyQpJGu5aW5n0pS9RdvnlrD7sMJbedBPpCRM2alJfn2TGjKlMnz6NGTOmUl+fzFOwkiRJ0uZZYFOShqH6+iR1dWWsbFjD/LEHsce6n7LyjDO49a3nUvfhrTZa2QNg9uxyWloy+emGhhJmzy4HYNasvHVBkiRJ6pHJCkkqcB2JiY4ExJ57ruXee8dT3vI6v+BT/Oe6v3By6VzWvHEY9141fpOkxLhx6Q37OrS0FFFXV8asWal8dEmSJEnqlckKSSpg9fXJTUZF3HbbBHZK/5OH+SRb8wYHMJ+HWvel+I407e2Jjc5vaSmipSXd7bUbG4sBkxWSJEkqPCYrJKmA1dWVbTIqYrf0/zGfA2ijhN35Jb/nAwC0t/ft2lVVfTxBkiRJGiIW2JSkApYZ/fCmz1DPY+zJEqawG09sSFQAFBd3PTtj0qQUyeTGIyiSydSGehaSJElSoTFZIUkFrPPoh9P4AfdxEH9kFz7Cb3iJt204lkymOPzw1d0mJb7+9ZXMmbOC6uo2Eok01dVtzJmzgpqaliHrhyRJktQXTgORpAJWW9vM2WeV8bW153E2c3iAAzh23B3sF+Cxx9o2WvWjpqaFD36wdaNinB37AZMTkiRJGjZMVkhSAav51HL2umUW73z6Pq7hRL5VdRkXntOSTTys3LR9TYtJCUmSJA17JiskqUAlVq6k4rjjqHr6/1h5zjkccOqpHJBYmu+wJEmSBk06nd5kO53qmOaa3ugh26DnYxv2pTfZ1e2x/l6/L9L9OKdP13/zaWpMCenmTf+41W/J8SRKhi6FYLJCkgpQUWMjU448kpLnn2fZ5ZfTctBB+Q5JkiQVoHSqHVIpaE9BuofnqXZIdzzPHut4nmrv4QN0N/u6bbYF5+bwYb/19XJYsWKz7bSpttXLB/bebfd2MFkhSaNXyT//yZTDDyfR3MyS225j/Uc/mu+QJEnSAEmn09kkQTZRsNnnmznWn7/uS8OAyQpJKiBjnniCimOPJZ1M0vTDH9L2nvfkOyRJ0iiWTr35F/hUy2rSLWs6HewyPL7L096H4PdwvNdh+Js73vlYp2tv9Pqd2qZ72Uen87per/Pr5Hhu69LXSS9dmh3VsPHKXZK6Z7JCkgrEuAceoPwLp/MCb2fvlQtoO3b6Rqt5SBo4IYRPApcDxcD1Mca6LscPB87Obq4CTo4x/jl77GWgGWgH2mKMHxiquKVcbTI1oL3TX+TbO6YEtHf6K32XKQPd/NW+bZnD8fsrvX4dtLflOwxpWDFZIUkFYMK111J+0UX8uuh/2D/1AMuZDA0we3Y54LKj0kAKIRQDVwJ7AQuBp0II82OMf+/U7CVg9xjjshDCPsBc4EOdjn8sxtg0ZEFr1EhvNMy/uwRCp4RDd/s66hI4NUDSMGeyQpLyKZViqwsvZOL11/PguM9y0NrbWce4DYdbWoqoqyszWSENrBnACzHGFwFCCHcDBwIbkhUxxv/r1P63wPQhjVAbSadSbw7n7xiGn8o+plPZ4fjdPaY3+WpPtWaG428yNSDdw7D+bqYDdG7f9fye2vf6et1MN5CkUc5khSTly9q1TP7iF0k++CCrjjuOA2+4lhTFmzRrbNx0n6QtUg282ml7IRuPmujqOOChTttp4CchhDRwbYxxbtcTQgizgFkAMUYqKyu3OOgOS0tLSSQSA3rNdFvbJh/u010/9HckB1KpzMfpjikCqfRG56Y3Sg50vWb3+zuuvXFSIjU4H96XrKe8vT23tokujxs2Epu2HQWKi4spLy/PdxjDkveu/7x3/TfQ965kyhSKxk8YsOtt9vWG7JUkaRSrr09SV1dGY2MxVVXtnP+FV9l37hEk//UEZ/Id7n74dMonw7Jlm55bVZXjL9WSctXdJ81uPxGHED5GJlnx3512fyTG2BhCmAr8NITwjxjj453PyyYwOpIY6aamgZsx0t7aSmlpKQN1zXR7O7zw9803HCHKy8tZYd2FfvHe9Z/3rv+8d/034PduyRISawZ2tG9VVVWPx4oG9JUkSZuor08ye3Y5DQ0lpNMJihoa+e+zP0Xlv37PodzFJZxJQ0MJq1YlKC3d+PNSMpmitrY5T5FLI9ZCYNtO29OBxq6NQgj/CVwPHBhjXNKxP8bYmH1cDMwjM61EkiQNIEdWSNIgq6sro6Ulkxv+T/7MQ+zDeNbwCR7hl+yxoV1raxGTJrUzYUJ6wwgMVwORBsVTwI4hhB2ABuBQ4HOdG4QQtgPqgZkxxuc67Z8AFMUYm7PP9wYuGrLIJUkaJXJKVmSHQL4cY3wphDANqCOzXNe5McbXBjNASRruOmpO7Mmj1FPDCsr5b37N33jPJm1XrCjib39bNNQhSqNKjLEthHAa8AiZpUtvjDH+LYRwUvb4NcDXgCnAVSEEeHOJ0rcA87L7SoA7Y4wP56EbkiSNaLmOrLgK+ET2+SXZxzYyczEPGOigJGkkqapqZ4+Gu7mJY3iWndmXBTT0sLCA9SmkoRFjXAAs6LLvmk7PjweO7+a8F4H3DXqAkiSNcrkmK6pjjK+EEErIJC3eCqynm/mdkjTabVRMc1obl77lG4SGC/gZH6OGelYwidLSFJCgtfXNOn/Wp5Ck0SudSsFLz8HiRphaBTvsRKLI8nKSRq9ckxUrQwhvAd4D/D3GuCqEMAYoHbzQJGn46Sim2dJSRBHtnNN4OqHxKp7Y/mCOX38TKxeNp7qqbUNSovMKIdankKTRKZ1Kkb7vJli0EFrXQ+kYmDYdDjrGhMUw15GEalmxlHR5hUkoqQ9yTVb8gEwxqjHA6dl9HwH+MQgxSdKw0XVJ0jVrErS0FDGOFu7kc3yG+/k2s7li/df53VNNwMbLR5mckCTx0nNvJiog87hoYWb/29+V39jUb52TUGtNQkl9ltO/khjjt4GPk1lX/O7s7ga6mcspSaNF1yVJGxpKWLasiCk08Rh7ciAPcBo/oJZv07DIgWiSpB4sbnwzUdGhdT0stuDysNZbEkrSZvVl6dKXgF1DCB+IMd5DJlkxYEIINwL7AYtjjJuUyA8hJIDLgX2BNcDRMcY/DGQMktQXnZck7bADL/EQ+7Adr3AQ9zGPGsDCmZKkXkytyvzVvXPConQMTJ2Wv5i05XpLQjliRtqsnEZWhBDeCzwHXAfckN29O3DjAMZyM/DJXo7vA+yY/ZoFXD2Ary1JfdaxJGmH/8fveYLdqKSJj/PohkSFhTMlSb3aYafM9IBEtuhyx3SBHXbKb1zaMh1JqM5MQkk5y3Wy1NXA12KM7wJas/t+Cfz3QAUSY3wcWNpLkwOBW2OM6Rjjb4FJIQT/pUvKm86jJT7JQ/yS3WkhyT5lj/Pv6g+RSKSprm5jzpwV1qaQJPUoUVRE4qBjoGIqbDWJxH6HkLCuwfBnEkraIrn+BPwP4Pbs8zRAjHE1kByMoHpQDbzaaXthdp8k5UVtbTPJZIqjuYkfsT/PsRP/O+43HPnNKp58cjELFy7iyScXm6iQJG1WoqgIkuNhq8kk3v4uExUjQOckVNGkCpNQUh/lWrPiZeC/gKc7doQQZgAvDEJMPUl0sy/dXcMQwiwyU0WIMVJZWTmYcVFSUjLorzEURko/wL4UqpHWl1knjOcjP7uIXeZdyE/Yi9On38f5F4/nsMNSwIR8h5iTkfae2BdJUiFJFBWRTo6nqKSYlHUqpD7JNVnxVeDHIYRrgDEhhHOAk4ATBi2yTS0Etu20PR1o7K5hjHEuMDe7mW5qahrUwCorKxns1xgKI6UfYF8K1Yjqy6RJtM6axS7z7mDNQQfxnu9+l0dLVwGrGE5dHFHviX3pk6qqqkG9viRJ0pbIdenSB8kUuNyaTK2KtwI1McafDGJsXc0HjgwhJEIIuwIrYoyu5yRpyCXWrKHkoIOYcMcdNH/hCyy/7DIodWlSSZIkaaDkvHRpdpnQUwYrkBDCXcAeQGUIYSFwPlCafe1rgAVkli19gczSpccMViyS1JOipiYqjjqKxF/+wvK6OtbMnJnvkCRJkqQRp8dkRQjholwuEGP82kAEEmM8bDPH08CpA/FaktQfxS++yJQjjqDo9ddpi5E1u+2W75AkSZKkEam3kRXb9nJMkkaV0j/8gYqjjgJgyb33Ur733gyr4hSSJEnSMNJjsiLG6DQLSQLG/uQnTD75ZFLbbMOS226j/W1vy3dIkiRJ0ojW2zSQ7WOML2ef9/ibeYzxxUGIS5IKwvjbbqP83HNp/c//ZOktt5ByOUlJkiRp0PU2DeSvQFn2+QtAGkh0aZMGigchLknKr3SasjlzKPv+91m7554su+Ya0uPH5zsqSZIkaVTobRpIWafnOS1xKkkjQmsrk846i/H33svqww9nxTe/CSU5L54kSZIkaQvllIQIIXy/h/2XDWg0kpRniVWrqDjySMbfey8rzzyTFd/+tokKSZIkaYjlOmLi6B72zxygOCQp74pef53KmhrG/uY3LLv0UlZ96UvUzxvPjBlTmT59GjNmTOWcc7ZixoypjBtXyowZU6mvT+Y7bEmSJGnE6fXPhSGEYzvadXre4W2A6/ZJGhFKnn+ecTUzWb9sKQekf8RfL9mLPf+0lnvvHU9LSyav29BQwq23TqCjfE9DQwmzZ5cDUFPTkq/QJUmSpBFnc2ObO0ZOjGHjURRp4HXgqMEISpKG0pinnmLi545mxZqx7Msv+QP/BQ1w220TSKe71hXeeLulpYi6ujKTFZIkSdIA6jVZEWP8GEAI4eIY41eGJiRJGjrjFixg8mmn8WL7W/k4D/MyO2w4tmmionuNjS6KJEmSJA2knKrGdSQqQghTgYldjr04CHFJ0qB74Yu38d/3ncMT7MoBPMAStu7Xdaqq2gc4MkmSJGl0yylZEUL4BHAjMK3LoTTgnxQlDS+pFK8dPYePPvYD5vFpPsedrKX7QpmJRLrLCIs0naeCJJMpamubBzdeSZIkaZTJdT2+q4CvA7fEGJ2YLWlYqq9Pcum3xnBx4wl8jru4glP5IpeT6iHnmkymOPjgNTz22DgaG4upqmpnzz3XbrRdW9tsvQpJGgbSqRS89BwtK5aSLq+AHXYiUZTrwniSpKGWa7JiMnBtjDE9mMFI0mCpr0/yjbPS3LF2f/6Xn3M2dcxhNl0LZkKaRIIuiYiVXdqspLKykqYmF0SSpOEgnUqRvu8mWLSQta3roXQMTJsOBx1jwkKSClSuyYobgGPITAWRpGHnlm+s4Cdr9+ed/JMjuI07OKLbdtXV7Tz55OIhjk6SNKheeg4WLYTW9Znt1vWZ7Zeeg7e/K7+xSZK6lWuyYlfgCyGEWuC1zgdijB8d8KgkaQCV/OMf1L92FOWsYB8e4mfs2W07609I0gi1uPHNREWH1vWweJHJCkkqULkmK67PfknSsDLmN7+h4vjjWVw0kf9J/Yq/8L6NjhcXp0mluk77kCSNKFOrMlM/OicsSsfA1K614yVJhSLXpUtvGexAJGmgjXvgASaffjpt22/Pw4ffx/N1/wGdchHJZIo5c1aYoJCkkW6HnTI1Kl59CdLpN2tW7LBTviOTJPUg15EVhBDeAswAKulUkS7GaB0LSYUlnWbCtddS/vWvs27XXVl6ww3sPWkScypWUFdX5koekjTKJIqK4KBjSN9yBUXtraQ/9ilXA+kDV1KRlA85JStCCJ8GbgeeB/4D+BvwHuDXWHRTUoGor08y51vjObPxLL7AD3jyrZ/hsFdu5aX3TNiQnLB4piSNTomiItLJ8RSVFJOyTkXOXElFUr7k+hPmYuCYGOMuwOrs4yzg94MWmST1QX19kq+eNZZLGw/nC/yA73E6u/77Xl5snEg6naChoYTZs8upr0/mO1RJkoaP3lZSkaRBlGuyYrsY471d9t0CHDnA8UhSv1zzzVZ+tHZvDuKHfJlL+DLfI03xRm1aWoqoqyvLU4SSJA1Dva2kIkmDKNdkxeJszQqAl0MIuwFvhy6fBCQpD4oXLuTeRbvzQZ4icA/f48s9tm1s9MeWJEk561hJpTNXUhkx0qkU6X/9g/QTP8s8plL5DknaINcCm9cB/w38EPge8HMgBVwySHFJUk5KnnmGKTNnMjaxnr3TP+Fxdu+1fVVV+xBFJknSCOBKKiNW53okWI9EBSjXpUu/3en5rSGEXwATYozPDlZgktRVfX1yo9U8vrDzAk5+7Aga0pM4pOyn/H7te6G18xlpOi1eRDKZora2eajDliRp2HIllRGst3okFqFVAch56dLOYoyvDHQgktSb+voks2eX09KS+eXofxvu5EsNx/F33s2+LKCxuZrS0hSTJ6dYvryIqqp29txzLY89Ns6lSiVJ2gKupDJC9VaPxPdZBSDXpUtfJfMnyk3EGLcb0IgkKavzSIqiImhvTwBpzuFbfJPzeJQ9+Sw/ZCXlALS2FjF+fBvPPNO56NfKvMQuSZJU0DrqkXROWFiPRAUk15EVR3TZngZ8Ebh7YMORpIyuIyna26GIdn7A5zmFq7mdwzmWG2ll46JfFtCUJEnKgfVItkg6lcpMmVncmEn8FND0qI7YWlYsJV1eUVCx9UWuNSt+2XVftm7Fw8DlAxyTJFFXV7YhUQGQZA13cRgHMp86zuZcvkm6mwWNLKApSZK0eZ3rkdC6jsSe+w/bD7VDrZCLk3aObW2BxdZXWxLtOmCHgQpEkjrrPEJiCk08xp7sz484lSs4h7psomLj2WkW0JQkScpdoqgIkuNhq8kk3v6uYfdhNm96K06ab4UcWx/lWrPioi67xgP7Ag8NeESSRq1Na1TA2/gXD7EP2/Iqn+WH/Kj40yRSaQtoSpIkKT8KuThpIcfWR7nWrNi2y/Zq4FLgtoENR9Jo1V2Nig/wJA+yPyW0sSeP8afkrlw2Z3mXhIQFNCVJkjSECrk4aSHH1ke51qw4ZrADkTT6dL/aR8Y+LOBeDmYxU9mHh1hV/Q7m1K5w5IQkSZLyq5CLkxZybH202WRFCKEY+BywN7A18AbwC+DOGKOfGiT1S3cjKTocyw1cy4n8mfexHw/y+4Y0sDg/gUoakUIInyRTJLwYuD7GWNfleCJ7fF9gDXB0jPEPuZwrSRrZCrk4aefYitpbSX/sUwUTW1/1GnEIYSvgN8B3gXbgj9nHbwJPhhC2CSFMDyGEQY9U0ojSdbWPjDTncwE3cDyP8nH24BcUV2+dl/gkjVzZP8RcCewDvBs4LITw7i7N9gF2zH7NAq7uw7mSpBGukIuTdsRWNKmi4GLri82NrPgWsATYM8a4umNnCGECEIE7gbcD5w5ahJJGpM6rfQCU0Mo1nMRx3MhNHM0s5lKaLKa2dkWeIpQ0gs0AXogxvggQQrgbOBD4e6c2BwK3xhjTwG9DCJNCCNOA7XM4dxPt3xnAX5VefZG2RBHpgbpmOg0tawbmWoVu8SLaEsDd1+c7ku4tXgRAqhDjK/R7V8gK/d4V8vcd0FxSTKqtQJemL+R7Nxjfd+PGQVHx5tv1xfdu7vHQ5pIVnwF27ZyoAIgxrg4hnAq8CBwbY7xjS2OUNLpUVbXT0JD5ETSBVUQC+/IQX098lfPTF1BVnaLWGhWSBkc18Gqn7YXAh3JoU53juYQQZpEZkUGMkdLS0i2PusPb3kkikSCdTm++bS7SadKtA/fLZ9uihQCUTJs+YNccMFXTIZHIJGgKUVUB3rMOBX7v/L7bAgX8fde2aCFtiQQl21TnO5TuFfC9G4zvu0Rp6cAnK3qxuWRFOdDQw7GFwLoY480DGpGkUaG2tpnZs8spa3mDH/MpduGPnFp6DTtfGlhY81q+w5M0siW62df1t7me2uRyLjHGucDcjuOp0y/sU4CbU1lZSVNT04BcK93eDi/0OjCkb7J/xUsdVJj12cvLy1mxwlF7/VHQ987vu5Hp7uspKSku2Pe10A349912byeRHD9w19uMzU1e+Rfwvz0c2xN4YWDDkTSS3XVXETNmTGX69GnU1ZVx2if+zO+KP8zOPMuxFfXsfGlwJIWkobCQjZdlnw405tgml3MlSdIW2tzIikuBW0MIpwHzYoypEEIRUAP8AGtVSMpRfX2Ss88uZs2azB8lt214itkN+zN+YoLVd0e+tcsugIkKSUPiKWDHEMIOZEaQHkpm5bPO5gOnZWtSfAhYEWNcFEJ4I4dzJUnSFup1ZEV2isd3gZuBtSGERmAtcBNwaYzxpsEOUNLIUFdXtiFRcQAP8DP+l2VMZu8Jv6J1l13yHJ2k0STG2AacBjwCPJvZFf8WQjgphHBSttkCMrW5XgCuA07p7dwh7oIkSSPe5kZWEGO8JIQwF/gwUAk0AU/EGFcOdnCSRo6O1T9O5Bqu5FSe5gPsx4MsWVwJLMpvcJJGnRjjAjIJic77run0PA2cmuu5kiRpYG02WQEQY2wm8xcESeqXqmltnNJ4PufyLR7kUxzCPaxhAtVVbfkOTZIkSVKBySlZIUlbZP16Hq2eybsa7+FaZnEqV9JOCclkitra5nxHJ0mSJKnAFEyyIoTwSeByoBi4PsZY1+X4HsADwEvZXfUxxouGNEhJfZZobqbihBOoeupX/LHmQr7+23NILSqmuqqN2tpmV/+QJEmStImCSFaEEIqBK4G9yCwJ9lQIYX6Mseui37+KMe435AFK6pei115jypFHUvLPf7Ls0kv5j1NP5cmmN/IdliRJkqQCl3OyIoQwBdgXmBZjnBNCqAKKYowLByCOGcALMcYXs691N3Ag0DVZIWmYKHnuOSqOOIKi5ctZesstrNtjDybkOyhJkiRJw0JOyYoQwu7AD4GngY8Ac4AdgTOB/Qcgjmrg1U7bC8msad7VbiGEPwONwJk9LRUWQpgFzAKIMVJZWTkAIfaspKRk0F9jKIyUfoB9ybfEr39NyWc/C2PH0vbYY5TtsgtlDM++9GSk9GWk9APsiyRJ0kiS68iKy4BDYoyPhRCWZff9jsyIiIGQ6GZfusv2H4C3xhhXhRD2Be4nkzDZRIxxLjC34zpNTU0DFGb3KisrGezXGAojpR9gX/Jp3IMPMvkLX6Bt+nSW3n477dtuC9n4h1tfejNS+jJS+gH2pa+qqqoG9fqSJElboijHdtvHGB/LPu9IIqxn4GpeLAS27bQ9nczoiQ1ijCtjjKuyzxcApSEE/+wkFZAJ113H5JNOovW976Xp/vtp3267fIckSZIkaRjKNVnx9xDCJ7rs+zjw1wGK4ylgxxDCDiGEMcChwPzODUII24QQEtnnM8jEvmSAXl/Slkil2Oqiiyi/4ALWfvKTNN19N+mKinxHJUmSpGEqnUpByxpSy5eS/tc/MtsaVXJNVpwB3BFCuAVIhhCuBW4GzhqIIGKMbcBpwCPAs5ld8W8hhJNCCCdlmx0EPJOtWfF94NAYY9epIpKG2rp1TDrtNCZeey2rjz6aZddeC8kkAPX1SWbMmMr06dOYMWMqd92V648cSZIkjVbpVIr0fTfB0sWZZMWD95C+7yYTFqNMTtM4Yoy/DSG8DzgcuJFMMcwZA7QSSMdrLAAWdNl3TafnVwBXDNTrSdpyiRUrqDjuOMY+8QQrzz2XVaecAolMCZr6+iSzZ5fT0pJJUDQ0lHDKKWm+/e0kNTUt+QxbkiRJheyl52DRQkhn/zbduj6z/dJz8PZ35Tc2DZmca07EGBvIrAIiSRQ1NDBl5kxKXnyRZT/4AS01NRsdr6sr25Co6LBmTYK6ujKTFZIkacB0TBegdR3pf/0DdtiJRJGjOYe1xY2ZBEVnreth8SKTFaNIj8mKEMJtbLoixyZijEcOaESSCl7Js88y5YgjSKxezZLbbmP9//zPJm0aG4u7Pben/ZIkSX3VeboA6TTpB++BadPhoGNMWAxnU6ugdMzGCYvSMTB1Wv5i0pDrbWTFC0MWhaRhY8xvfkPFcceRnjCBpvp62t797m7bVVW109Cw6Y+Yqqr2wQ5RkiSNFk4XGJl22CmTdFq0MPOelo7JbO+wU74j0xDqMVkRY7xwKAORVPiS99/PpNNPp22HHVh6++20V1f32La2tnmjmhUA48enqa1tHopQJUnSaOB0gREpUVQEBx0DLz3H2JXLWLfVZKf3jEI516wIIfwvcBhQBTQCd8cYHxuswCQVkHSaCddcQ/nFF7Nut91Yev31pCdN2qRZfX2SuroyGhuLqapq5+CD1/DYY+M2bH/jG7DXXtarkCRJA8TpAiNWoqgI3v4ukuXlrF+xIt/hKA9ySk2FEL4M3A0sBX4MLAHuDCGcMYixSSoE7e1s9bWvUX7xxbTsvz9L7rijx0TF7NnlNDSUkE4naGgo4d57x1Nb28zChYt48snFHHaYy01JkqQB1DFdoHRMZtvpAtKIkevIijOA/40xPtOxI1uA86fAJYMRmKQC0NLC5C98geSCBaw68URWfuUr0MPwu+5W/2hpKXL1D0mSNGg6Txdg8aLMiAqnC0gjQs7TQNi04OaL5LBaiKThKbF0KRXHHsuYp59mxQUXsPqEE3pt7+ofkiQpHzqmC1ijQhpZck1WXADcEEK4AFgIbAt8FTg/hLAhbRljdIy3NAIUv/oqFYcfTsnChSy75hrW7rffZs9x9Q9JkiRJAyXXZMW12cfDyIymSGS3D88eS2T3+ydUaZgreeYZpsycSWLdOpbcdRfrP/ShHtt2LqhZXp6itDRNa2tiw/FkMuXqH5IkSZL6LNdkxQ6DGoWkgjD2F79g8qxZpMrLWXLPPbTt1HNxqo6Cmh11KpYvL6a0NMXkySmWLy+iqqqd2tpm61VIkiRJ6rOckhUxxn8PdiCS8isZI5POOou2nXZiyW23kdpmm17bd1dQs7W1iPHj23jmmUWDGaokSZKkES6nZEUIoRz4ArALMLHzsRjj3oMQl6Shkk4z8fvfZ6s5c1j33//N0uuvJ11W1m3TztM+0j2U17WgpiRJkqQtles0kHvJ1KOYBzimWxop2tooP+88Jtx+O2tqalh+ySUwZky3TbtO++iJBTUlSZIkbalckxW7AlNijK2DGYykoZNYs4bJp5zCuJ/+lObTTqO5thYSiR7bdzftoysLakqSJEkaCLkmK34N7Az8ZRBjkTREipYsoeKooyj9859Z/o1vsOboozd7Ts/TO9IkElhQU5IkSdKAyTVZcTSwIITwO+D1zgdijBcNdFCSBk/xyy8z5fDDKX7tNZZddx1rP/nJnM6rqmqnoWHTHxnV1e08+eTigQ5TkjQMpVMpaFkDretI/+sfsMNOJIp6H5UnSVJ3cv3f4xvAtsBbgB07fb1jkOKSNAhK//QnKg84gKLly2m6++6cExUAtbXNJJOpjfY57UOS1CGdSpG+7yZYuhhWLif94D2k77spk8CQJKmPch1ZcSiwU4zR9QilYWrso48y+aSTSFVW0nT77bS/o2+5xo7pHR2rgTjtQ5K0kZeeg0UL2bBcVOv6zPZLz8Hb35Xf2CRJw06uyYoXAYtrSsPU+DvvpLy2ltb/+A+W3nILqalT+3WdmpoWkxOSpO4tbswkKDprXQ+LF5mskCT1Wa7JituA+SGEH7BpzYqfDXhUkgZGOk3ZJZdQ9r3vsfZjH2PZtdeSnjAh31FJkkaiqVVQOmbjhEXpGJg6LX8xSZKGrVyTFadmH7/ZZX8aeNvAhSNpwLS2Munssxl/zz2sOeQQln/721Bamu+oJEkj1Q47wbTpmakfresziYpp0zP7JUnqo5ySFTHGHQY7EEkDJ7F6NZNPPJFxP/85zV/+Ms1f/jIkEn2+Tn190hoVkqScJIqK4KBjMjUqFi/KjKhwNRBJUj/lOrJC0jBR9MYbVBx5JKV/+xvLv/Md1nzuc/26Tn19ktmzy2lpyfyS2dBQwuzZ5QAmLCRJ3UoUFWXqU1ijQpK0hXJKVoQQtgIuAHYHKoENf6KNMW43KJFJ6rPiF15gysyZFL3xBktvvJF1H/94v69VV1e2IVHRoaWliLq6MpMVkiRJkgZVruPyrgL+H3ARUAF8HngF+N4gxSWpj0qffprKT3+axOrVLLnvvi1KVAA0Nhb3ab8kSZIkDZRckxV7A5+NMT4AtGcfDwFmDlpkknI27uGHqTzkENKTJtE0fz6t739/v65TX59kxoypTJ8+jZ6mGFdVtfc/UEmSJEnKQa7JiiJgRfb5qhDCJGAR8I7BCEpS7sbffDOTTziB1p13pumBB2jffvt+XaejRkVDQwnpdIL29gSZBX/elEymqK1t3vKgJUmSJKkXuRbY/DOZehWPAb8CrgRWAc8NUlySNieVouzb36bsiito2Xtvll91Felkst+X665GBSQoLk6TSuFqIJIkSZKGTK7JihN4s6jmF4A6YBJw5CDEJGlz1q9n0hlnML6+ntUzZ7Li4ouhZPP/nLsuRbrnnmt57LFxNDYWk053f04qBQsXLhrgDkiSJElSz3JKVsQYX+z0/A3guEGLSFKvEitXUnHCCYz99a9ZefbZrPr85yGR6LZt5+REeXmK1auLaG3NtG1oKOHWWyfQaXGfblmjQpIkSdJQ6zVZEUL4L2BdjPGZ7PbWwGXAe4AngDNjjKsGO0hJGUWLFjFl5kxKnn+eZZddRsvBB/fYtqMGRcfUjuXLu1vFo/dEhTUqJEmSJOXD5gpsXgZs02n7emAnYC6ZhMWcwQlLUlcl//wnlQccQPErr7D01lt7TVRATzUocpEmkUhTXd3GnDkrrFEhSZIkachtbhrIzmQKapJdAWQf4D0xxudCCPOB/wNOGdQIJTHmiSeYOPM4lqxLsk/qcRaf9Z8bRjz0tQbF5lRXt/Pkk4sHMHpJkiRJ6pvNJStKgPXZ57sCr8UYnwOIMb6aTWBIGkRF993H5KOO4fn2t/HJ9EP8m+2hAb785XIg0ecaFBtLb9TeaR+SJEmSCsHmxoj/DegYa34o8GjHgRBCNbBikOKSBEyYO5eSww/n90Uf4MPp32QSFVmtrW8Wy3xT74mK0tIUkye3b5jmceSRq6mubnPahyRJkqSCsrmRFWcDPwohXAO0A//d6dghwG8GKzBpVEul2Oqii5h43XWkPv1p9rj/DloY38+LpUkkMqt61NY2d5OMWLml0UrSsBFCqADuAbYHXgZCjHFZlzbbAreSqduVAubGGC/PHruAzJLub2SbnxtjXDAUsUuSNJr0OrIixvhrYDtgL+BtMcZ/djr8Y+BLgxibNDqtXcvkU05h4nXXseq442i7804qqsf0+3LV1e0sXLiIJ59c7KgJSYJa4LEY447AY9ntrtqAM2KMO5OZBntqCOHdnY5/L8b4/uzX8E9UJIDiYigqzi6F3ZfphJIkDY7NjawgxtgM/L6b/f/sprmkLZBYvpyK445j7G9/y4qvfpXVJ55IZXExtbXNGy1DCpkpHZ1rVmRYg0KSNuNAYI/s81uAX5AZSbpBjHERsCj7vDmE8CxQDfx9yKIcQomiYnjHuzfal06noesXaUhlH9OpzH853T72dG4qe/Fezt3oNbr76nIO/awmLUkqeJtNVkgaGkUNDUw54ghKXnqJZVdeScunP73hWMeIiM4rf2xuNZCep31I0qj2lmwyghjjohDC1N4ahxC2B3YBftdp92khhCOBp8mMwFjWzXmzgFnZ16GysnKAws8oKSkZ8GsOR+lukxhvJjfSXfen0hQXFzOlrTVz/M0LvZlUSWe3Mwc6HXtzf7rrvk3ad3qebZPOpW1H3O3t0N5OoSVjiouLKS8vz3cYw5L3rv+8d/030PeuZMoUisZPGLDrbfb1huyVJPWo5O9/Z8rMmSRWr2bJHXew/iMf2aRNTU1Lt4kHa1BI0sZCCI+SqTfR1Xl9vM5E4IfA6THGjh+uVwNfJ/Mp8uvAJcCxXc+NMc4F5mY3001NTX156c2qrKxkoK85WlRWlrO0x3uX6PKYfZqnmTHpVApS7ZlRKR2P7d3ta+9+XzrbfoCSHuXl5axYYX39/vDe9Z/3rv8G/N4tWUJizcD+IbSqqqrHYyYrpDwb8+tfU3H88aQnTKBp3jzadt453yFJ0rAWY/x4T8dCCK+HEKZlR1VMAxb30K6UTKLijhhjfadrv96pzXXAgwMXubSxRFERFG1u8b7NS3dOdKTbN054bEhqdJfw6JwYSQ1AjyQpdyYrpDxKzpvHpC99iba3vY0lt91Gqro63yFJ0kg3HzgKqMs+PtC1QQghAdwAPBtjvLTLsWkd00iAzwDPDG640pZLFGULqG7hb/6lFRXQlF0Ip/Ngjc5TW9j06YaNdB+Ob9jX3ev0cHyjqTfd7OuY5rPhWp3adtemy1SejePoy7lQVFYOre0bJ386EkWSumWyQsqHdJqJV1/NVt/4But2242lN9xA2rl4kjQU6oAYQjgOeAU4GCCEUAVcH2PcF/gIMBP4awjhT9nzOpYonRNCeD+ZjyQvAycOafRSHiWKijKJD/VZSWUliQnd/663yciX7p6nOk3rSXUeIdN19Eth1TmRtkTBJCtCCJ8ELgeKyfyyUNfleCJ7fF9gDXB0jPEPQx6otKXa2yn/2teYcPPNtBxwAMsuuwzGjs13VJI0KsQYlwB7drO/kczvGB1Lt3dbpSDGOHNQA5Q06gzUyBfoWuek6/NejqW7JDm6bmd25rSr+3b9PzcxZiyUjunhGr2M6ul1JI5JneGgIJIVIYRi4EpgL2Ah8FQIYX6MsfMSYfsAO2a/PkSmwNWHhjpWaYu0tDD5858n+dBDrDrpJFaed16Pc1Hr65OdVvqY6soekiRJ6tVA1TkpJKWVlSQGsaBwurupPl2TG5udgtTtlbc4tt4vv/nrl06phCX9vHfdXb60tH/X6qeCSFYAM4AXYowvAoQQ7iazDnrnZMWBwK0xxjTw2xDCpC7zRqWClli6lCnHHEPp73/PigsvZPXxx/fYtr4+yezZ5bS0ZP6zaWgoYfbszNBBExaSJEnSwEgkEh1P8hvIIEiMHZsZmTJMFUqyohp4tdP2QjYdNdFdm2pgk2TFYK9t3tVIWet8pPQDCrAvL71E6Wc/C//+N2133kmypoZkp8N33VXE175WzKuvwrbbwurV0NKy8Q/MlpYivvOdScyaNXRrGw+0gntftsBI6ctI6QfYF0mSpJGkUJIV3aWxug48yaUNMPhrm3c1UtY6Hyn9gMLqS+lf/0rFzJmkW1tZetddrP/Qh6BTbG+Oosh8i7/yCvQ0bOzVVymYfvVHIb0vW2qk9GWk9APsS1/1tq65JElSvhXKhKaFwLadtqcDjf1oIxWUsb/4BVM++1nSY8bQNG9eJlHRRV1d2YbpHm/qfhhaVVX7IEQpSZIkSYWlUEZWPAXsGELYAWgADgU+16XNfOC0bD2LDwErrFehQpa85x4mnXUWbe98J0tuu43UNttsONa5eGbPtXHSdE5aJJMpamubBzVmSZIkSSoEBZGsiDG2hRBOAx4hs3TpjTHGv4UQTsoevwZYQGZJsRfILF16TL7ilXqVTjPx8svZ6jvfYe1HP8ot+93K1w+ozq7q0c6ee67l3nvHdzOaYmOTJqWYMCG94TxXA5EkSZI0WhREsgIgxriATEKi875rOj1PA6cOdVxSn7S1UX7uuUy44w7WHHQQN3/kCs48d+uNVvW47bYJpNO9VxtOJlN8/esrqalpGVHz8CVJkiQpFwWTrJCGu8SaNUw++WTGPfoozZ//PM1nn803PzRlkxEUPScq0iQSOIpCkiRJ0qhnskIaAEVNTVQcfTQlf/oztZOuYM4Vp1BV305DQ3HO16iubufJJxcPYpSSJEmSNDyYrJD6qaNIZrLhJX5aXEOaRg4p/SH3Lf80kJnykUikuy2gmdlv8UxJkiRJ6k6hLF0qDSv19Ulmzy6nquEP/IaPMKF9BXu0P8Z96z+9Ubt0OkEisXG2IplMMXPmaqqr20gk0lRXtzFnzgqnfUiSJElSliMrpH6oqyvjf1sWEAksYhqf5GFeYMdu26bTUF3d1s2qHiuHNmhJkiRJGiZMVkj98KmGG7iKU/gD/4/9eJDFvKXHttaikCRJkqS+cRqIlIP6+iQzZkxlevU2xHddybWcxMN8ko/x840SFd1N+bAWhSRJkiT1jckKaTM66lO83pDmRo7l9OZvcmPiWA4quZ/VTNzQzloUkiRJkjQwnAYibUZdXRnFLaup52A+ySOczwVclP4akyammDLBWhSSJEmSNNBMVkib0d7wBr9gP97HnzmO67mR4wBYsaKIv/1tUZ6jkyRJkqSRx2SF1IviF17gd8VHMaV9MQcwn4fYd8Oxqqr2PEYmSZIkSSOXyQqpB2OeeoqKo49m7fhS9l7/c36zbsaGYxbOlCRJkqTBY4FNqRvjHnqIKYceSmryZJofeYBDv7ujhTMlSZIkaYg4skLqYvxNN1H+1a/SussuLL3lFlIVFdS8tcXkhCRJkiQNEZMVUodUirJvfYuyq66iZe+9WX7VVaSTyXxHJUmSJEmjjskKCWD9eiadcQbj6+tZfeSRrLj4YiguzndUkiRJkjQqmazQqJdYuZKK449n7G9+w8pzzmHVqadCIpHvsCRJkiRp1DJZoVGtaNEipsycScnzz7Ps8stpOeigfIckSZIkSaOeyQqNWiX//CcVRxxB0cqVLLntNtZ/9KP5DkmSJEmShEuXapQa88QTVH7mMyTa22n64Q83JCrq65PMmDGV6dOnMWPGVOrrLbApSZIkSUPNZIVGnXHz5zPlc5+jfepUmubPp+097wEyiYrZs8tpaCghnU7Q0FDC7NnlJiwkSZIkaYiZrNCoMmHuXCpOPpn1u+xC07x5tE+fvuFYXV0ZLS0b/5NoaSmirq5sqMOUJEmSpFHNZIVGh1SKrc4/n/ILL6TlU59iyZ138sOfV2005aOhofulShsbXcJUkiRJkoaSBTY18q1dy+QvfpHkgw+y6rjjWHnBBdTfP4HZs8s3jKRoaCghkUiTTm96elVV+xAHLEmSJEmjm8kKjWiJ5cupOO44xv72t6z46ldZfeKJkEh0O+UjnU5kExaJDfuSyRS1tc1DHbYkSZIkjWomKzRiFTc0UHH44ZT8+98sveoq1h544IZjPU3tSKehurqNxsZiqqraqa1tpqamZahCliRJkiRhskIjVOIvf6Fy//1JtLSw5I47WP/hD290vKqqnYaGTb/9q6vbefLJxUMVpiRJkiSpGxbY1Igz5vHHKfnf/4WiIprmzdskUQFQW9tMMpnaaJ9TPiRJkiSpMJis0IiS/OEPmTJzJum3vpU35s+n7V3v6rZdTU0Lc+asoLq6jUQiTXV1G3PmrHDKhyRJkiQVAKeBaGRIp5l45ZVs9a1vse7DHyZx//2kWlt7PaWmpsXkhCRJkiQVIEdWaPhrb6f8vPPY6lvfYs2nP82S22+H8vINh+vrk8yYMZXp06cxY8ZU6uuTeQxWkiRJkrQ5jqzQ8NbSwuTTTiP58MOsOvlkVp57LhS9mYOrr08ye3b5hmVKGxpKmD07k8hwVIUkSZIkFSZHVmjYKlq6lMpDDmHcI4+w4utfZ+VXvrJRogKgrq5sQ6KiQ0tLEXV1ZUMZqiRJkiSpDxxZoWGp+N//ZsoRR1Dc0MCya69l7ac+1W27xsbiPu2XJEmSJOWfIys07JT+5S9UHnAARUuXsuSee3pMVABUVbX3ab8kSZIkKf9MVmhYGfvznzPls58lPW4cTQ88wPoPfhDYtIjmXXdlvrVra5tJJlMbXSOZTFFb2zzksUuSJEmScmOyQsNG8p57qDjqKNp32IGm+fNpe8c7gDeLaDY0lJBOJ2hoKOGUU4qpr09SU9PCnDkrqK5uI5FIU13dxpw5KyyuKUmSJEkFzJoVKnzpNBMvu4ytvvtd1u6+O8vmziU9ceKGw90V0VyzJkFdXRk1NS0bviRJkiRJw4PJChW2tjbKzz2XCXfcwbMzDmOf52/glXeNo6qqndraZmpqWiyiKUnKWQihArgH2B54GQgxxmXdtHsZaAbagbYY4wf6cr4kSdoyTgNRwUqsWUPFsccy4Y47eOoTZ/Bff7mNfzcmN0z1mD27nPr6pEU0JUl9UQs8FmPcEXgsu92Tj8UY39+RqOjH+ZIkqZ9MVqggFTU1MeWggxj785+zvK6OzzxTR8vajUdKtLQUUVdX1m0RzfHj0xbRlCR150DgluzzW4BPD/H5kiQpByYrVFDq65OE/7eSVe+rof0vz/Hj429nzcyZvU716K6I5lVXtVunQpLUnbfEGBcBZB+n9tAuDfwkhPD7EMKsfpwvSZK2gDUrVDDq65Pce+Y/mLfuAAD2SP+cv972Qea8dwVVVe00NGz67dox1aNrEc3KykqamoYmbklSYQkhPAps082h8/pwmY/EGBtDCFOBn4YQ/hFjfLwPMcwCZgHEGKmsrOzDS29eSUnJgF9ztPDe9Z/3rv+8d/3nveu/4X7vTFaoYDx9/i95aN3naKSKfXiIF9gRWtgw1WP27PKNVv1IJlNO9ZAkbSLG+PGejoUQXg8hTIsxLgohTAMW93CNxuzj4hDCPGAG8DiQ6/lzgbnZzXTTAGfQM0l5s/L94b3rP+9d/3nv+s9713/D4d5VVVX1eCzvyYotrcqtkWH8bbdxw9Jz+T3/xX48yBudRtV2TPWATOKisbF4o9VAJEnqg/nAUUBd9vGBrg1CCBOAohhjc/b53sBFuZ4vSZK2XN6TFbxZVbsuhFCb3T67h7YfizEWdmpIfZNOUzZnDmXf/z6Pjt2XA9dF1jBhoyY9TfWQJKkf6oAYQjgOeAU4GCCEUAVcH2PcF3gLMC+EAJnfle6MMT7c2/mSJGlgFUKy4kBgj+zzW4Bf0HOyQiNJayuTzjqL8ffey+rDD+efH/we6XOS0Ckf4VQPSdJAijEuAfbsZn8jsG/2+YvA+/pyviRJGliFkKzYqKp2tpBVdzqqcqeBa7NzQbs12EWtuhruhUs6DGk/mpspOeooih59lLbzz6f0nHM4IZFg4qQUX/tagldfhW23hYsuSnHYYROgy2iLzRkp7wnYl0I1UvoyUvoB9kWSJGkkGZJkxVBX5R7solZdDYfCJbkYqn4Uvf46FUceSeLZZ1l26aW0HHIILFkCwF57Zb46609II+U9AftSqEZKX0ZKP8C+9FVvBa0kSZLybUiSFYNclVvDyM+uepXd6w5hfXsTx055gF1LP0wN1qGQJEmSJL2paPNNBl1HVW3opSp3CKGs4zmZqtzPDFmEGhD/990/s8839qW0fS2780vuWPIpZs8up74+me/QJEmSJEkFpBCSFXXAXiGE54G9stuEEKpCCAuybd4C/DqE8GfgSeDHnapyaxgYt2AB+33vMzRRyW48wR/4LwBaWoqoqyvLc3SSJEmSpEKS9wKbW1qVW4Vvwo03stXXvsYT7MoBzGcJGxeNa2wszlNkkiRJkqRCVAgjKzRSpVJsdfHFlH/1q6z9xCc4suqRTRIVAFVV7XkITpIkSZJUqExWaHCsW8ekz3+eiVdfzeqjjmLZ3Lmcfk4byWRqo2bJZIra2uY8BSlJkiRJKkR5nwaikSexYgUVxx/P2P/7P1aeey6rTjkFEglqajKrftTVldHYWExVVTu1tc0b9kuSJEmSBCYrNIDq65Pc8o0V3PhaYAr/5CdHXsN7Tt1/ozY1NS0mJyRJkiRJvXIaiAZEfX2Sm898lfrX/oe38m/2ZQGfvvcElyWVJEmSJPWZyYpRqL4+yYwZU5k+fRozZkzdbEIhl/aPX/h7Hl33UYpp56M8zmN83GVJJUmSJEn9YrJilKmvTzJ7djkNDSWk0wkaGkqYPbu8x4RFLu3HPfAAtzV9ikaq2JXf8mfev+GYy5JKkiRJkvrKZMUoU1dXRkvLxm97byMgem2fTjPhmmuoOOUU/jhmBh/hN7zKdhu1dVlSSZIkSVJfmawYZXoa6dDX/a81wFbnn0/5179Oy3778ce6yLpk+UZtXJZUkiRJktQfJitGmZ5GOvRl/1jW8sC4Q5h4ww2sOv54ll19NQcekmbOnBVUV7eRSKSprm5jzpwVrvwhSZIkSeozkxWjTG1tM8lkaqN9vY2A6Np+Mkt5rGgvPrW2nhXnn8/KCy+Eosy3UU1NC08+uZiFCxfx5JOLTVRIkiRJkvqlJN8BaGh1JBDq6spobCymqqqd2trm7P4JvbYvaVjIT0r25e38i6VXXs3aAw4YytAlSZIkSaOEyYpRqKampU+jHmpqWgg7PcWUI48ksXYtS2+4k/W77TaIEUqSJEmSRjOngWizxj7+OJU1NaSLi2maN89EhSRJkiRpUJmsUK+S995LxcyZtG+3HU3z59P2znfmOyRJkiRJ0ghnskLdS6eZ+P3vM/n001m/66401deTmjYt31FJkiRJkkYBa1ZoU+3tlJ93HhNuu401NTUsv+QSGDMm31FJkiRJkkYJkxXaSKKlhUmnnELyJz+h+dRTaa6t3bA0qSRJkiRJQ8Fkhd7U1MSUECj94x9Z/o1vsOboo/MdkSRJkiRpFPJP5sNYfX2SGTOmMn36NGbMmEp9fbLf1yp++WVKd9+d0r//nWXXXWeiQpIkSZKUN46sGKbq65PMnl1OS0sm39TQUMLs2eUA1NS09OlapX/6ExVHHQWpFE13303rBz844PFKkiRJkpQrR1YMU3V1ZRsSFR1aWoqoqyvr03XGPvYYUw46iHQySesvfmGiQpIkSZKUdyYrhqnGxuI+7e/O+LvuouKYY2h7xztomj8f3vnOgQpPkiRJkqR+M1kxTFVVtfdp/0bSacouuYRJZ57Juv/5H5bcdx+pqVMHOEJJkiRJkvrHZMUwVVvbTDKZ2mhfMpmitra59xNbWyk/6yzKLr2UNSGw9OabSU+cOIiRSpIkSZLUNxbYHKY6imjW1ZXR2FhMVVU7tbXNvRbXTKxezeSTTmLcz35G8+mn03zmmZBIDFXIkiRJkiTlxGTFMFZT05Lzyh9Fb7xBxZFHUvrMMyz/9rdZc8QRgxydJEmSJEn9Y7JiFCj+17+YcsQRFL3xBktvvJF1e+2V75AkSZIkSeqRNSuGWH19khkzpjJ9+jRmzJhKfX1yUF+v9OmnqTzwQBKrV7Pk3ntNVEiSJEmSCp7JiiFUX59k9uxyGhpKSKcTNDSUMHt2+aAlLMY98giVhxxCurycpgceoHWXXQbldSRJkiRJGkgmK4ZQXV0ZLS0b3/KWliLq6soG/LXG33ILk48/ntadd6Zp/nzad9hhwF9DkiRJkqTBYM2KIdTYWNyn/f2STlNWV0fZFVew9uMfZ9nVV5MeP37gri9JkiRJ0iBzZMUQqqpq79P+Plu/nklf/CJlV1zB6sMPZ+kNN5iokCRJkiQNOyYrhlBtbTPJZGqjfclkitra5i2+dqK5mSlHHsn4H/6QlWedxYpvfxtKHDgjSZIkSRp+/DQ7hGpqWoBM7YrGxmKqqtqprW3esL+/il57jSkzZ1Ly3HMsu/RSWg45ZCDClSRJkiQpL0xWDLGampYtTk50VvL881QcfjhFy5ez9JZbWLfHHgN2bUmSJEmS8sFkxTA25sknqTjmGNKlpSz54Q9pfe978x2SJEmSJElbzJoVw9S4H/+YKYceSvuUKTTNn2+iQpIkSZI0YpisGIYmXH89k088kdb3vpem+++nfbvt8h2SJEmSJEkDxmkgw0kqxVYXX8zEa6+lZZ99WPaDH0Ayme+oJEmSJEkaUCYrhot165j0pS8x/oEHWHXMMay88EIoLs53VJIkSZIkDTiTFcNAYsUKKo47jrFPPMHK885j1cknQyKR77AkSRp2QggVwD3A9sDLQIgxLuvS5p3ZNh3eBnwtxnhZCOEC4ATgjeyxc2OMCwY5bEmSRh2TFQWuqKGBKTNnUvLiiyy74gpaPvOZfIckSdJwVgs8FmOsCyHUZrfP7twgxvhP4P0AIYRioAGY16nJ92KM3x2acCVJGp0ssFnASp59lq0POIDixkaW3H67iQpJkrbcgcAt2ee3AJ/eTPs9gX/FGP89mEFJkqSN5X1kRQjhYOACYGdgRozx6R7afRK4HCgGro8x1g1ZkHkw5je/oeK440hPmEBTfT1t7353vkOSJGkkeEuMcRFAjHFRCGHqZtofCtzVZd9pIYQjgaeBM7pOIwEIIcwCZmVfh8rKyi2PvJOSkpIBv+Zo4b3rP+9d/3nv+s9713/D/d7lPVkBPAPUANf21CA7BPNKYC9gIfBUCGF+jPHvQxPi0Erefz+TTj+dtre9jSW33UaqujrfIUmSNGyEEB4Ftunm0Hl9vM4Y4ADgnE67rwa+DqSzj5cAx3Y9N8Y4F5ib3Uw3NTX15aU3q7KykoG+5mjhves/713/ee/6z3vXf8Ph3lVVVfV4LO/JihjjswAhhN6azQBeiDG+mG17N5lhnCMrWZFOM+Gaayi/+GLW7bYbS2+4gXR5eb6jkiRpWIkxfrynYyGE10MI07KjKqYBi3u51D7AH2KMr3e69obnIYTrgAcHImZJkrSxvCcrclQNvNppeyHwoZ4aD/bQy64GZHhNezvFZ55J8VVX0X7QQSRuvJEpY8cOTIA5Gu7DhDqzL4XJvhSekdIPsC/K2XzgKKAu+/hAL20Po8sUkI5ER3bzM2RGiEqSpAE2JMmK3oZjxhh7+yWhQ3frdKZ7ajzYQy+72uLhNS0tTP7CFxizYAGrZs1i5Ve/Cs3Nma8hNByGCeXKvhQm+1J4Rko/wL70VW/DLke4OiCGEI4DXgEOBgghVJGpibVvdns8memnJ3Y5f04I4f1kfg95uZvjkiRpAAxJsqK34Zg5Wghs22l7OtC4hdcsCIlly6g45hjGPP00Ky64gNUnnJDvkCRJGrFijEvIrPDRdX8jsG+n7TXAlG7azRzUACVJEjB8poE8BewYQtiBzFrnhwKfy29IW6741VepOOIISl59lWVXX83a/ffPd0iSJEmSJOVdUb4DCCF8JoSwENgN+HEI4ZHs/qoQwgKAGGMbcBrwCPBsZlf8W75iHgglzzxD5QEHUPzGGyy56y4TFZIkSZIkZeV9ZEWMcR4wr5v9XYdjLgAWDGFog2bs448z+fjjSU2axJJ77qFtp53yHZIkSZIkSQUj7yMrRptkjFTMnEn7W99K0/z5JiokSZIkSerCZMVQSaeZePnlTP7Sl1i/22401deT2qa7BVIkSZIkSRrd8j4NZFRoa6P8vPOYcPvtrPnsZ1n+3e/CmDH5jkqSJEmSpIJksmKQJVpamHzyyYz76U9pPu00mmtrIZHId1iSJEmSJBUskxWDqGjJEiqOOorSP/+Z5d/4BmuOPjrfIUmSJEmSVPBMVgyS4pdfZsrhh1P82mssu/561n7iE/kOSZIkSZKkYcFkxSAo/dOfqDjySEilaLrnHlo/8IF8hyRJkiRJ0rAxalcDqa9PMmPGVKZPn8aMGVOpr08OyHXHPvooUw46iPSECTQ98ICJCkmSJEmS+mhUJivq65PMnl1OQ0MJ6XSChoYSZs8u3+KExfg776Ti2GNp23FHmubPp/3tbx+giCVJkiRJGj1GZbKirq6MlpaNu97SUkRdXVn/LphOU/bd7zLprLNYt/vuLLnvPlJbbz0AkUqSJEmSNPqMypoVjY3Ffdrfq9ZWik88kbJbbmH1oYeyoq4OSku3MEJJkiRJkkavUZmsqKpqp6Fh065XVbX36TqJ1auZfOKJFP/85zR/+cs0f/nLkEgMVJiSJEmSJI1Ko3IaSG1tM8lkaqN9yWSK2trmnK9R9MYbTDnoIMY+/jhtV19N8xlnmKiQJEmSJGkAjMpkRU1NC3PmrKC6uo1EIk11dRtz5qygpqYlp/OLX3iBygMOoOT551l6002kjj12kCOWJEmSJGn0GJXTQCCTsMg1OdFZ6dNPU3H00VBUxJL77qP1/e+nn2U5JUmSJElSN0blyIr+Gvfww1QecgjpSZNomj+f1ve/P98hSZIkSZI04pisyNH4m29m8gkn0LrzzjQ98ADt22+f75AkSZIkSRqRRu00kJyl05TV1VF2xRW07L03y6+6inQyme+oJEmSJEkasUxW9Gb9eiadcQbj6+tZPXMmKy6+GEq8ZZIkSZIkDSY/efcg0dxMxQknMPZXv2Ll2Wez6vOfd2lSSZIkSZKGgMmKbhS99hpTjjiCkuefZ9lll9Fy8MH5DkmSJEmSpFHDZEUXJc89R8Xhh1O0YgVLb72Vdbvvnu+QJEmSJEkaVUxWdDLmt7+l4thjSY8dS1N9PW3veU++Q5IkSZIkadRx6dKscT/6EVMOO4z2rbem6Uc/MlEhSZIkSVKemKwAJlx3HZNPPpn1738/TfffT/v06fkOSZIkSZKkUWt0TwNJpdjq619n4ty5tOy7L8t+8AMYNy7fUUmSJEmSNKqN6pEVE+bOZeLcuaw67jiWXXONiQpJkiRJkgrAqB5ZsWbmTFIVFZmlSROJfIcjSZIkSZIY5cmK9IQJtISQ7zAkSZIkSVIno3oaiCRJkiRJKjwmKyRJkiRJUkExWSFJkiRJkgqKyQpJkiRJklRQTFZIkiRJkqSCYrJCkiRJkiQVFJMVkiRJkiSpoJiskCRJkiRJBcVkhSRJkiRJKigmKyRJkiRJUkExWSFJkiRJkgqKyQpJkiRJklRQTFZIkiRJkqSCYrJCkiRJkiQVFJMVkiRJkiSpoJTkOwBJkqShEkI4GLgA2BmYEWN8uod2nwQuB4qB62OMddn9FcA9wPbAy0CIMS4b9MAlSRplHFkhSZJGk2eAGuDxnhqEEIqBK4F9gHcDh4UQ3p09XAs8FmPcEXgsuy1JkgaYyQpJkjRqxBifjTH+czPNZgAvxBhfjDGuB+4GDsweOxC4Jfv8FuDTgxKoJEmj3KiYBlJVVTUiXmMojJR+gH0pVPal8IyUfoB90YCpBl7ttL0Q+FD2+VtijIsAYoyLQghTu7tACGEWMCvbblDeT79H+s9713/eu/7z3vWf967/hvO9Gw0jKxKD/RVC+P1QvI79sC/D/cu+FN7XSOmHfen314gUQng0hPBMN18Hbv5soPt7k+5LDDHGuTHGD8QYP8Dw/h4ZcV/eO++d9254fXnvRsW969aoGFkhSZJGjxjjx7fwEguBbTttTwcas89fDyFMy46qmAYs3sLXkiRJ3TBZIUmStLGngB1DCDsADcChwOeyx+YDRwF12ccH8hKhJEkj3GiYBjIU5uY7gAEyUvoB9qVQ2ZfCM1L6AfZFOQghfCaEsBDYDfhxCOGR7P6qEMICgBhjG3Aa8AjwbGZX/Fv2EnXAXiGE54G9stv54PdI/3nv+s9713/eu/7z3vXfsL53iXS6T1MwJUmSJEmSBpUjKyRJkiRJUkExWSFJkiRJkgqKBTb7IYTwHWB/YD3wL+CYGOPybtp9ErgcKAaujzHma15rt0IIBwMXADsDM2KMT/fQ7mWgGWgH2rLLsBWUPvSloN8TgBBCBXAPsD3wMhBijMu6afcyBfi+bO4ehxAS2eP7AmuAo2OMfxjyQHOQQ1/2IFNc76XsrvoY40VDGmSOQgg3AvsBi2OM7+nm+LB4X3Loxx4Mn/dkW+BWYBsgBcyNMV7epc2weF80tIbD/2WFKJd/c+pdCKEYeBpoiDHul+94hosQwiTgeuA9ZJZBPjbG+ERegxomQghfAo4nc9/+SuZz19r8RlWYuvsdKdfPFYXKkRX981PgPTHG/wSeA87p2iD7w/xKYB/g3cBhIYR3D2mUm/cMUAM8nkPbj8UY318oH4i7sdm+DJP3BKAWeCzGuCPwWHa7JwX1vuR4j/cBdsx+zQKuHtIgc9SH75dfZd+D9xfqh+Ksm4FP9nJ8WLwvbL4fMHzekzbgjBjjzsCuwKnD9d+Lhs4w+r+sEOXyb069+yKZorPqm8uBh2OM7wLeh/cwJyGEauALwAeyH76LyazOpO7dzKa/I/Xlc0XBMVnRDzHGn2QrhQP8lsz6613NAF6IMb4YY1wP3A0cOFQx5iLG+GyM8Z/5jmMg5NiXgn9Psg4Ebsk+vwX4dP5C6bNc7vGBwK0xxnSM8bfApBDCtKEONAfD5fslJzHGx4GlvTQZFu9LDv0YNmKMizpGScQYm8n88lrdpdmweF80pEbUz6ahlOO/OfUghDAd+BSZEQLKUQhhK+CjwA0AMcb13Y3IVo9KgGQIoQQYDzTmOZ6C1cPvSMP5c4XJigFwLPBQN/urgVc7bS9k+P6HmAZ+EkL4fQhhVr6D2QLD5T15S4xxEWR+sQKm9tCuEN+XXO7xcHkfco1ztxDCn0MID4UQ/mNoQhsUw+V9ycWwe09CCNsDuwC/63JoJL0vGhh+TwyAXv7NqWeXAbPJTKFR7t4GvAHcFEL4Ywjh+hDChHwHNRzEGBuA7wKvAIuAFTHGn+Q3qmEn188VBcmaFT0IITxKZk5jV+fFGB/ItjmPzJDCO7ppl+hm35CvE5tLP3LwkRhjYwhhKvDTEMI/spm7ITUAfSmI9wR670sfLlMQ70sXudzjgnkfNiOXOP8AvDXGuCqEsC9wP5nh+sPRcHlfNmfYvSchhInAD4HTY4wruxweKe+LBo7fE1toM//m1I0QQsc8+N9nawMpdyXA/wM+H2P8XQjhcjJD8b+a37AKXwhhMpmRATsAy4F7QwhHxBhvz2tgGjImK3oQY/x4b8dDCEeRKWCyZ4yxu18SFgLbdtqeTh6GLW2uHzleozH7uDiEMI/MENQh/1A8AH0piPcEeu9LCOH1EMK0GOOi7HDvxT1coyDely5yuccF8z5sxmbj7PxLboxxQQjhqhBCZYyxaYhiHEjD5X3p1XB7T0IIpWQ+NN0RY6zvpsmIeF80oPye2AI5/JtT9z4CHJBNAo8Dtgoh3B5jPCLPcQ0HC4GFMcaOUTz3MczqBuTRx4GXYoxvAIQQ6oEPAyYrcpfT54pCZbKiH7JVuM8Gdo8xrumh2VPAjiGEHYAGMsVgPjdEIQ6Y7DC1ohhjc/b53kAhF6zrzXB5T+YDRwF12cdNRo0U8PuSyz2eD5wWQrgb+BCZIX2LhjbMnGy2LyGEbYDXY4zpEMIMMlPrlgx5pANjuLwvvRpO70l2pY8bgGdjjJf20GxEvC8aUMPl/7KCk+O/OXUjxngO2YLy2ZEVZ5qoyE2M8bUQwqshhHdm66vtCfw933ENE68Au4YQxgMtZO5dtyv+qUeb/VxRyExW9M8VwFgyQ+8BfhtjPCmEUEVmCbF9Y4xtIYTTgEfIVK69Mcb4t/yFvKkQwmeAHwBbAz8OIfwpxviJzv0A3gLMy/azBLgzxvhw3oLuQS59GQ7vSVYdEEMIx5H5IX0wwHB4X3q6xyGEk7LHrwEWkFmG8QUySzEek694e5NjXw4CTg4htJH5T/TQHkZa5V0I4S5gD6AyhLAQOB8oheH1vuTQj2HznpD5S+VM4K8hhD9l950LbAfD633R0BlG/5cVom7/zcUYF+QvJI0SnwfuCCGMAV7En+U5yU6buY/MFM824I/A3PxGVbh6+B2p288Vw0UinS7U3+EkSZIkSdJo5GogkiRJkiSpoJiskCRJkiRJBcVkhSRJkiRJKigmKyRJkiRJUkExWSFJkiRJkgqKyQqpgIQQLggh3J7vOLoTQjg8hPCTAbhOOoTwjoGIaSiEEP6WXVO+oN8fSZIkaSQpyXcA0mgSQljVaXM8sA5oz26fOPQRdS+EsD3wElAaY2wDiDHeAdwxBK+9H/A14D+AtcBDwNkxxoYheO2bgYUxxq907Isx/sdgv64kSZKkjTmyQhpCMcaJHV/AK8D+nfYNeiKgQwihIBOVIYSDgDuBy4FKMgmL9cCvQgiT8hiaJEmSpCFUkB9YpFFuTAjhVuAzZBIaR8UYnwYIIVQBPwA+CqwCvhdj/H722Fjg20DIXieSGZGwLjuN4fbsuV8CfhpCOAqYDZwATAIeA06KMS4FHs9eY3kIAWAv4J3A8THG/86+3n8AlwH/BbQCl8cYvxlCmEEm2bAz0AL8EPhyjHF9b50OISSAS4CLOyVuWkIIxwN/Ab4IXBhCuAB4R4zxiOx529NpFEgI4Zhsv6YDbwDfjjFem23bcR++B5xNZlTLuTHGm0IIs4DDgXQI4XTg5zHG/UMIL2f7/Wg3Me8KXAq8G/g38MUY4y+yx44mM0Jka6AJ+MpQJqQkSZKk4cyRFVLhOQC4m0wCYT5wBUAIoQj4EfBnoBrYEzg9hPCJ7HnnAbsC7wfeB8wAvtLputsAFcBbgVnAF4BPA7sDVcAy4Mps249mHydlR3080TnAEEIZ8CjwcPbcd5BJdkAmAfAlMiMjdsvGeUoO/X4nsB1wb+edMcYUmYTH3jlcA2AxsB+wFXAM8L0Qwv/rdHwboJzMPTwOuDKEMDnGOJfMNJc52T7v39uLhBCqgR8DF5O5r2cCPwwhbB1CmAB8H9gnxlgGfBj4U47xS5IkSaOeIyukwvPrGOMCgBDCbcDp2f0fBLaOMV6U3X4xhHAdcCjwCJlRAZ+PMS7OnnshcC3w1Wz7FHB+jHFd9viJwGkxxoXZ7QuAV0IIM3OIcT/gtRjjJdnttcDvAGKMv+/U7uUQwrVkEiKXbeaaldnHRd0cW0RmhMJmxRh/3Gnzl9mioP8D/CG7rxW4KFuLY0G2jsg7gd/mcv1OjgAWdLxXZEarPA3sC9xH5n6/J4TwSoxxUQ/9kiRJktQNkxVS4Xmt0/M1wLhsjYm3AlUhhOWdjhcDv8o+ryIzFaHDv7P7OrwRY1zbafutwLwQQqrTvnbgLTnEuC3wr+4OhBB2IjM14gNkioiWAL/vrm0XTdnHaWSmdXQ2jcyUjs0KIewDnA/sRGb02Hjgr52aLOkoGpq1BpiYy7W7eCtwcAih8wiMUjLTR1aHEA4hM9rihhDCb4AzYoz/6MfrSJIkSaOOyQpp+HgVeCnGuGMPxxvJfID+W3Z7u+y+DulurndsjPE3XS8UQnhrDrEc1sOxq4E/AofFGJuz9R8O2sz1AP4JLAQOBuZ0iqUI+CyZKTEAq8kkIDps06ntWDJTRo4EHogxtoYQ7gcSObw+bHqPevMqcFuM8YTuDsYYHwEeCSEkyUwVuY7MCA9JkiRJm2GyQho+ngRWhhDOJlMPYT2ZIpbJGONTwF3AV0IIT5H50P01MsUke3IN8I0QwlExxn+HELYGPhxjfIDMKIYU8DbguW7OfRC4NJuIuBoYA7w7xvg7oAxYCawKIbwLOJkcRkXEGNMhhDOB60IIC4F5ZGpLfJPMFJEfZJv+CTg7hLAdsAI4p9NlxgBjs6/Xlh1lsTfwzOZeP+v1bJ9zcTvwVLZmyKNkRlXsCrxAZqrJh8jU8WghUwy1vYfrSJIkSerCApvSMBFjbAf2J1NA8yUy0yauJ/OBHjJ/vX+azMoZfyVTo+HiXi55OZnRCj8JITSTqdnwoexrrQG+AfwmhLA8u+pF51iayawQsj+ZaSvPAx/LHj4T+BzQTGY0wT196OM9wEwyBTqXkKnz8EFg92zdB2KMP81e8y9kppc82CWuL5BZCWVZNo755O4G4N3ZPt+/mVhfBQ4EziWTHHkVOIvMz9Ui4AwyI1uWkqnZkUuRUUmSJElAIp3uy6hnSRo6IYS9yYwY2TPG+Kc8hyNJkiRpiDiyQlLBijH+BDiazPQKSZIkSaOEIyskSZIkSVJBcWSFJEmSJEkqKCYrJEmSJElSQTFZIUmSJEmSCorJCkmSJEmSVFBMVkiSJEmSpIJiskKSJEmSJBWU/w8h40ElusVMfwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1296x1296 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plug the optimal parameter values into a new SARIMAX model\n",
    "ARIMA_MODEL = sm.tsa.statespace.SARIMAX(train_series, \n",
    "                                        order=(1,0,3), \n",
    "                                        seasonal_order=(0, 0, 0, 0), \n",
    "                                        enforce_stationarity=False, \n",
    "                                        enforce_invertibility=False)\n",
    "\n",
    "# Fit the model and print results\n",
    "output = ARIMA_MODEL.fit()\n",
    "\n",
    "print(output.summary().tables[1])\n",
    "auto_model.plot_diagnostics(figsize=(18,18))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to make sure that our residuals are not correlated, and they should have a normal distribution. Otherwise, we need to make further changes to our model.\n",
    "\n",
    "Let's check for these assumptions from diagnostics plots.\n",
    "\n",
    "\n",
    "* In the plot on the top-right, our KDE line somewhat closely follows along the N(0,1) line which is the standard notation for a normal distribution having a mean of 0 and standard deviation of 1. This tells us that the residuals are normally distributed.\n",
    "\n",
    "* Our qq-plot shown on the bottom left displays that our residuals are following the linear trend line. This tells us that the residuals seen here are normally distributed.\n",
    "\n",
    "* From the Correlogram plot on the bottom left, we see that the time series residuals diaplay low correlations with their lagged versions. This is clearer as we move further along the time series. This tells us there isn't obvious seasonality in our series.\n",
    "\n",
    "Based on these observations, we can be confident that the model does not have correlations and that it satisfactorily fits our data to forecast future prices."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Testing our model performance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's retrieve our model's predictions for the period between May, 2016 and April 2018; the same period that was used for our test data. We can plot them on the same chart to see how far/close they are from each other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>lower value</th>\n",
       "      <th>upper value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-05-01</th>\n",
       "      <td>238782.632383</td>\n",
       "      <td>241146.759996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-01</th>\n",
       "      <td>239622.132300</td>\n",
       "      <td>246157.519806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>239976.013011</td>\n",
       "      <td>250945.571581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-01</th>\n",
       "      <td>240711.164686</td>\n",
       "      <td>255239.776193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-01</th>\n",
       "      <td>241802.432446</td>\n",
       "      <td>259229.389089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-01</th>\n",
       "      <td>243104.595623</td>\n",
       "      <td>263060.158789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-01</th>\n",
       "      <td>244554.245181</td>\n",
       "      <td>266796.027590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-01</th>\n",
       "      <td>246117.059965</td>\n",
       "      <td>270471.855371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>247772.062175</td>\n",
       "      <td>274109.164176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-01</th>\n",
       "      <td>249505.376021</td>\n",
       "      <td>277722.379611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-01</th>\n",
       "      <td>251307.299989</td>\n",
       "      <td>281321.758643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-04-01</th>\n",
       "      <td>253170.767815</td>\n",
       "      <td>284914.928677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-01</th>\n",
       "      <td>255090.469495</td>\n",
       "      <td>288507.766608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-01</th>\n",
       "      <td>257062.316425</td>\n",
       "      <td>292104.933737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-01</th>\n",
       "      <td>259083.099200</td>\n",
       "      <td>295710.218035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-01</th>\n",
       "      <td>261150.259564</td>\n",
       "      <td>299326.762249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-01</th>\n",
       "      <td>263261.733225</td>\n",
       "      <td>302957.221153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-01</th>\n",
       "      <td>265415.838368</td>\n",
       "      <td>306603.873091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01</th>\n",
       "      <td>267611.194642</td>\n",
       "      <td>310268.701055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-01</th>\n",
       "      <td>269846.663028</td>\n",
       "      <td>313953.452880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01</th>\n",
       "      <td>272121.300383</td>\n",
       "      <td>317659.686758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>274434.324514</td>\n",
       "      <td>321388.806238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>276785.086952</td>\n",
       "      <td>325142.087507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-04-01</th>\n",
       "      <td>279173.051449</td>\n",
       "      <td>328920.700961</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              lower value    upper value\n",
       "2016-05-01  238782.632383  241146.759996\n",
       "2016-06-01  239622.132300  246157.519806\n",
       "2016-07-01  239976.013011  250945.571581\n",
       "2016-08-01  240711.164686  255239.776193\n",
       "2016-09-01  241802.432446  259229.389089\n",
       "2016-10-01  243104.595623  263060.158789\n",
       "2016-11-01  244554.245181  266796.027590\n",
       "2016-12-01  246117.059965  270471.855371\n",
       "2017-01-01  247772.062175  274109.164176\n",
       "2017-02-01  249505.376021  277722.379611\n",
       "2017-03-01  251307.299989  281321.758643\n",
       "2017-04-01  253170.767815  284914.928677\n",
       "2017-05-01  255090.469495  288507.766608\n",
       "2017-06-01  257062.316425  292104.933737\n",
       "2017-07-01  259083.099200  295710.218035\n",
       "2017-08-01  261150.259564  299326.762249\n",
       "2017-09-01  263261.733225  302957.221153\n",
       "2017-10-01  265415.838368  306603.873091\n",
       "2017-11-01  267611.194642  310268.701055\n",
       "2017-12-01  269846.663028  313953.452880\n",
       "2018-01-01  272121.300383  317659.686758\n",
       "2018-02-01  274434.324514  321388.806238\n",
       "2018-03-01  276785.086952  325142.087507\n",
       "2018-04-01  279173.051449  328920.700961"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get predictions starting from 04-01-2015 and calculate confidence intervals\n",
    "pred = output.get_prediction(start=pd.to_datetime('2016-05'), end=pd.to_datetime('2018-04'), dynamic=False)\n",
    "pred_conf = pred.conf_int()\n",
    "pred_conf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have received predictions for our training data, let us plot it against our test data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot real vs predicted values along with confidence interval\n",
    "\n",
    "rcParams['figure.figsize'] = 18, 8\n",
    "\n",
    "# Plot observed values\n",
    "ax = recent_series.plot(label='observed')\n",
    "\n",
    "# Plot predicted values\n",
    "pred.predicted_mean.plot(ax=ax, label='Prediction Series', alpha=0.9)\n",
    "\n",
    "# Plot the range for confidence intervals\n",
    "ax.fill_between(pred_conf.index,\n",
    "                pred_conf.iloc[:, 0],\n",
    "                pred_conf.iloc[:, 1], color='lightpink', alpha=0.5,label = 'Confidence Interval')\n",
    "\n",
    "# Set axes labels\n",
    "ax.set_xlabel('Date',fontsize=20)\n",
    "ax.set_ylabel('Price',fontsize=20)\n",
    "ax.set_title('Testing Forecasting Model Performance',fontsize=30)\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our model was not perfectly accurate but it was able to capture the overall trend that truly occurred between April, 2016 and April, 2018. Now that we see that we have a model that can perform well over a 2-3 year period, we can move on to forecast the future until April, 2021- the point at which we will have reached 3 years from the purchase date of April, 2018."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Forecasting the Future"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "ar.L1          1.0102      0.002    461.500      0.000       1.006       1.015\n",
      "ma.L1          1.5669      0.173      9.055      0.000       1.228       1.906\n",
      "ma.L2          1.1230      0.252      4.453      0.000       0.629       1.617\n",
      "ma.L3          0.2647      0.172      1.539      0.124      -0.072       0.602\n",
      "sigma2      3.637e+05    1.4e-07   2.59e+12      0.000    3.64e+05    3.64e+05\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "# Plug the parameter values from our Auto ARIMA model into a new SARIMAX model that fits the entire series.\n",
    "ARIMA_MODEL = sm.tsa.statespace.SARIMAX(recent_series, \n",
    "                                        order=(1,0,3), \n",
    "                                        seasonal_order=(0, 0, 0, 0), \n",
    "                                        enforce_stationarity=False, \n",
    "                                        enforce_invertibility=False)\n",
    "\n",
    "# Fit the model and print results\n",
    "full_output = ARIMA_MODEL.fit()\n",
    "\n",
    "print(output.summary().tables[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>lower</th>\n",
       "      <th>upper</th>\n",
       "      <th>prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-01</th>\n",
       "      <td>297721.944672</td>\n",
       "      <td>300613.616330</td>\n",
       "      <td>299167.780501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>296339.248869</td>\n",
       "      <td>304476.173375</td>\n",
       "      <td>300407.711122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-01</th>\n",
       "      <td>296072.591251</td>\n",
       "      <td>309687.100707</td>\n",
       "      <td>302879.845979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>296711.291695</td>\n",
       "      <td>314640.398360</td>\n",
       "      <td>305675.845028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>297772.973115</td>\n",
       "      <td>319222.336898</td>\n",
       "      <td>308497.655007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>299085.123575</td>\n",
       "      <td>323605.904799</td>\n",
       "      <td>311345.514187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-11-01</th>\n",
       "      <td>300571.576440</td>\n",
       "      <td>327867.749637</td>\n",
       "      <td>314219.663038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-01</th>\n",
       "      <td>302190.836061</td>\n",
       "      <td>332049.852440</td>\n",
       "      <td>317120.344251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>303917.415661</td>\n",
       "      <td>336178.189848</td>\n",
       "      <td>320047.802755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-02-01</th>\n",
       "      <td>305734.385318</td>\n",
       "      <td>340270.186166</td>\n",
       "      <td>323002.285742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-03-01</th>\n",
       "      <td>307629.859550</td>\n",
       "      <td>344338.225819</td>\n",
       "      <td>325984.042684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-01</th>\n",
       "      <td>309595.144563</td>\n",
       "      <td>348391.506156</td>\n",
       "      <td>328993.325360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-05-01</th>\n",
       "      <td>311623.677295</td>\n",
       "      <td>352437.098441</td>\n",
       "      <td>332030.387868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-06-01</th>\n",
       "      <td>313710.378462</td>\n",
       "      <td>356480.594848</td>\n",
       "      <td>335095.486655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-07-01</th>\n",
       "      <td>315851.237931</td>\n",
       "      <td>360526.523138</td>\n",
       "      <td>338188.880535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-01</th>\n",
       "      <td>318043.038007</td>\n",
       "      <td>364578.623413</td>\n",
       "      <td>341310.830710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-01</th>\n",
       "      <td>320283.162447</td>\n",
       "      <td>368640.039141</td>\n",
       "      <td>344461.600794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10-01</th>\n",
       "      <td>322569.460873</td>\n",
       "      <td>372713.452798</td>\n",
       "      <td>347641.456836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>324900.150127</td>\n",
       "      <td>376801.184549</td>\n",
       "      <td>350850.667338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-01</th>\n",
       "      <td>327273.740999</td>\n",
       "      <td>380905.265565</td>\n",
       "      <td>354089.503282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>329688.982792</td>\n",
       "      <td>385027.493515</td>\n",
       "      <td>357358.238153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
       "      <td>332144.820683</td>\n",
       "      <td>389169.475235</td>\n",
       "      <td>360657.147959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>334640.362475</td>\n",
       "      <td>393332.660037</td>\n",
       "      <td>363986.511256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>337174.852314</td>\n",
       "      <td>397518.366029</td>\n",
       "      <td>367346.609171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-05-01</th>\n",
       "      <td>339747.649684</td>\n",
       "      <td>401727.801174</td>\n",
       "      <td>370737.725429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-06-01</th>\n",
       "      <td>342358.212440</td>\n",
       "      <td>405962.080300</td>\n",
       "      <td>374160.146370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-07-01</th>\n",
       "      <td>345006.082972</td>\n",
       "      <td>410222.238989</td>\n",
       "      <td>377614.160980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-08-01</th>\n",
       "      <td>347690.876821</td>\n",
       "      <td>414509.245006</td>\n",
       "      <td>381100.060914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-09-01</th>\n",
       "      <td>350412.273242</td>\n",
       "      <td>418824.007787</td>\n",
       "      <td>384618.140515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-10-01</th>\n",
       "      <td>353170.007323</td>\n",
       "      <td>423167.386369</td>\n",
       "      <td>388168.696846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-11-01</th>\n",
       "      <td>355963.863358</td>\n",
       "      <td>427540.196071</td>\n",
       "      <td>391752.029714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-12-01</th>\n",
       "      <td>358793.669236</td>\n",
       "      <td>431943.214144</td>\n",
       "      <td>395368.441690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>361659.291677</td>\n",
       "      <td>436377.184604</td>\n",
       "      <td>399018.238141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-01</th>\n",
       "      <td>364560.632143</td>\n",
       "      <td>440842.822358</td>\n",
       "      <td>402701.727250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-01</th>\n",
       "      <td>367497.623330</td>\n",
       "      <td>445340.816767</td>\n",
       "      <td>406419.220049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-01</th>\n",
       "      <td>370470.226140</td>\n",
       "      <td>449871.834734</td>\n",
       "      <td>410171.030437</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    lower          upper     prediction\n",
       "2018-05-01  297721.944672  300613.616330  299167.780501\n",
       "2018-06-01  296339.248869  304476.173375  300407.711122\n",
       "2018-07-01  296072.591251  309687.100707  302879.845979\n",
       "2018-08-01  296711.291695  314640.398360  305675.845028\n",
       "2018-09-01  297772.973115  319222.336898  308497.655007\n",
       "2018-10-01  299085.123575  323605.904799  311345.514187\n",
       "2018-11-01  300571.576440  327867.749637  314219.663038\n",
       "2018-12-01  302190.836061  332049.852440  317120.344251\n",
       "2019-01-01  303917.415661  336178.189848  320047.802755\n",
       "2019-02-01  305734.385318  340270.186166  323002.285742\n",
       "2019-03-01  307629.859550  344338.225819  325984.042684\n",
       "2019-04-01  309595.144563  348391.506156  328993.325360\n",
       "2019-05-01  311623.677295  352437.098441  332030.387868\n",
       "2019-06-01  313710.378462  356480.594848  335095.486655\n",
       "2019-07-01  315851.237931  360526.523138  338188.880535\n",
       "2019-08-01  318043.038007  364578.623413  341310.830710\n",
       "2019-09-01  320283.162447  368640.039141  344461.600794\n",
       "2019-10-01  322569.460873  372713.452798  347641.456836\n",
       "2019-11-01  324900.150127  376801.184549  350850.667338\n",
       "2019-12-01  327273.740999  380905.265565  354089.503282\n",
       "2020-01-01  329688.982792  385027.493515  357358.238153\n",
       "2020-02-01  332144.820683  389169.475235  360657.147959\n",
       "2020-03-01  334640.362475  393332.660037  363986.511256\n",
       "2020-04-01  337174.852314  397518.366029  367346.609171\n",
       "2020-05-01  339747.649684  401727.801174  370737.725429\n",
       "2020-06-01  342358.212440  405962.080300  374160.146370\n",
       "2020-07-01  345006.082972  410222.238989  377614.160980\n",
       "2020-08-01  347690.876821  414509.245006  381100.060914\n",
       "2020-09-01  350412.273242  418824.007787  384618.140515\n",
       "2020-10-01  353170.007323  423167.386369  388168.696846\n",
       "2020-11-01  355963.863358  427540.196071  391752.029714\n",
       "2020-12-01  358793.669236  431943.214144  395368.441690\n",
       "2021-01-01  361659.291677  436377.184604  399018.238141\n",
       "2021-02-01  364560.632143  440842.822358  402701.727250\n",
       "2021-03-01  367497.623330  445340.816767  406419.220049\n",
       "2021-04-01  370470.226140  449871.834734  410171.030437"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Getting a forecast for the next 36 months after the last recorded date on our dataset.\n",
    "forecast = full_output.get_forecast(36)\n",
    "future_prediction = forecast.conf_int()\n",
    "future_prediction['value'] = forecast.predicted_mean\n",
    "future_prediction.columns = ['lower','upper','prediction'] \n",
    "future_prediction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our 3 year forecast, let's visualize it to see how far we expect the 33126 zipcode region to grow by April, 2021."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plotting our Forecast\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "recent_series.plot(ax=ax,label='Real Values')\n",
    "\n",
    "\n",
    "future_prediction['prediction'].plot(ax=ax,label='predicted value',ls='--')\n",
    "\n",
    "ax.fill_between(x= future_prediction.index, y1= future_prediction['lower'], \n",
    "                y2= future_prediction['upper'],color='lightpink',\n",
    "                label='Confidence Interval')\n",
    "ax.legend() \n",
    "plt.ylabel(\"Average Price\")\n",
    "plt.title('Average Home Price - 33126 - With Forcasted Value & Confidence Intervals')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having established a workflow for forecasting future prices for one zipcode, we can now plug in this entire process into a loop to attain our expected prices in April, 2021 for the remaining zipcodes in Miami-Dade County that have average prices under our clients' budget.\n",
    "\n",
    "# Forecasting on every Zip Code in Miami-Dade within Client Budget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1707.388, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.22 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1666.227, Time=0.07 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.19 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1660.104, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.40 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1661.342, Time=0.07 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1038.249, Time=0.39 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.50 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=1034.440, Time=0.48 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1664.355, Time=0.08 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.53 sec\n",
      " ARIMA(1,0,5)(0,0,0)[0]             : AIC=inf, Time=0.53 sec\n",
      " ARIMA(0,0,5)(0,0,0)[0]             : AIC=1667.878, Time=0.13 sec\n",
      " ARIMA(2,0,5)(0,0,0)[0]             : AIC=inf, Time=0.54 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0] intercept   : AIC=inf, Time=0.51 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,4)(0,0,0)[0]          \n",
      "Total fit time: 4.748 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1670.999, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1629.979, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.16 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1624.011, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.23 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1624.874, Time=0.08 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=991.429, Time=0.40 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.50 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=986.474, Time=0.49 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1629.123, Time=0.09 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.61 sec\n",
      " ARIMA(1,0,5)(0,0,0)[0]             : AIC=inf, Time=0.68 sec\n",
      " ARIMA(0,0,5)(0,0,0)[0]             : AIC=1633.387, Time=0.12 sec\n",
      " ARIMA(2,0,5)(0,0,0)[0]             : AIC=inf, Time=0.64 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0] intercept   : AIC=inf, Time=0.60 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,4)(0,0,0)[0]          \n",
      "Total fit time: 4.775 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1728.368, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1687.033, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.17 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1680.709, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.32 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1681.812, Time=0.06 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1035.278, Time=0.34 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.47 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=inf, Time=0.36 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1684.647, Time=0.08 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.40 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.57 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.87 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,3)(0,0,0)[0]          \n",
      "Total fit time: 3.815 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1700.281, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.11 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1658.521, Time=0.07 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.18 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1651.544, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.49 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1652.224, Time=0.09 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=inf, Time=0.46 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.33 sec\n",
      "\n",
      "Best model:  ARIMA(0,0,2)(0,0,0)[0]          \n",
      "Total fit time: 1.821 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1717.014, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1675.770, Time=0.05 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=1098.617, Time=0.24 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=1005.812, Time=0.38 sec\n",
      " ARIMA(2,0,0)(0,0,0)[0]             : AIC=inf, Time=0.17 sec\n",
      " ARIMA(3,0,1)(0,0,0)[0]             : AIC=1007.907, Time=0.62 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.39 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=1038.293, Time=0.26 sec\n",
      " ARIMA(3,0,0)(0,0,0)[0]             : AIC=inf, Time=0.21 sec\n",
      " ARIMA(3,0,2)(0,0,0)[0]             : AIC=1000.743, Time=0.62 sec\n",
      " ARIMA(4,0,2)(0,0,0)[0]             : AIC=997.976, Time=0.62 sec\n",
      " ARIMA(4,0,1)(0,0,0)[0]             : AIC=inf, Time=0.65 sec\n",
      " ARIMA(5,0,2)(0,0,0)[0]             : AIC=inf, Time=0.71 sec\n",
      " ARIMA(4,0,3)(0,0,0)[0]             : AIC=inf, Time=0.57 sec\n",
      " ARIMA(3,0,3)(0,0,0)[0]             : AIC=inf, Time=0.68 sec\n",
      " ARIMA(5,0,1)(0,0,0)[0]             : AIC=1037.234, Time=0.58 sec\n",
      " ARIMA(5,0,3)(0,0,0)[0]             : AIC=inf, Time=0.81 sec\n",
      " ARIMA(4,0,2)(0,0,0)[0] intercept   : AIC=1011.127, Time=0.65 sec\n",
      "\n",
      "Best model:  ARIMA(4,0,2)(0,0,0)[0]          \n",
      "Total fit time: 8.311 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1712.166, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1670.866, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.14 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1664.540, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=1069.327, Time=0.38 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.50 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1048.580, Time=0.36 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1665.114, Time=0.08 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.61 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=1049.598, Time=0.43 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1666.835, Time=0.08 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=1050.770, Time=0.59 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.40 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,3)(0,0,0)[0]          \n",
      "Total fit time: 3.735 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1684.109, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.05 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1642.929, Time=0.03 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=1079.348, Time=0.20 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=inf, Time=0.34 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=1020.660, Time=0.25 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1636.825, Time=0.05 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.49 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1001.684, Time=0.35 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1638.298, Time=0.07 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.63 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=990.896, Time=0.41 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1641.626, Time=0.08 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.48 sec\n",
      " ARIMA(1,0,5)(0,0,0)[0]             : AIC=992.459, Time=0.51 sec\n",
      " ARIMA(0,0,5)(0,0,0)[0]             : AIC=1645.460, Time=0.11 sec\n",
      " ARIMA(2,0,5)(0,0,0)[0]             : AIC=inf, Time=0.59 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0] intercept   : AIC=1037.299, Time=0.53 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,4)(0,0,0)[0]          \n",
      "Total fit time: 5.199 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1692.749, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.05 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1651.368, Time=0.02 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.12 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1644.625, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=1031.981, Time=0.29 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.35 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1024.057, Time=0.32 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1645.225, Time=0.06 sec\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.45 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=inf, Time=0.42 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1647.511, Time=0.08 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.46 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.42 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,3)(0,0,0)[0]          \n",
      "Total fit time: 3.122 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1689.082, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.05 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1647.358, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.12 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1640.382, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.34 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1640.648, Time=0.06 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1009.325, Time=0.35 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.40 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=1000.886, Time=0.41 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1643.149, Time=0.08 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.46 sec\n",
      " ARIMA(1,0,5)(0,0,0)[0]             : AIC=1012.374, Time=0.52 sec\n",
      " ARIMA(0,0,5)(0,0,0)[0]             : AIC=1645.130, Time=0.11 sec\n",
      " ARIMA(2,0,5)(0,0,0)[0]             : AIC=inf, Time=0.58 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0] intercept   : AIC=inf, Time=0.48 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,4)(0,0,0)[0]          \n",
      "Total fit time: 4.082 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1686.666, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.15 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1645.458, Time=0.03 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=1091.728, Time=0.28 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=inf, Time=0.22 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.26 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1639.321, Time=0.05 sec\n",
      " ARIMA(2,0,0)(0,0,0)[0]             : AIC=inf, Time=0.17 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.33 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.31 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,1)(0,0,0)[0]          \n",
      "Total fit time: 1.829 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1669.841, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.08 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1628.516, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=1090.339, Time=0.21 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=inf, Time=0.37 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.36 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1622.248, Time=0.07 sec\n",
      " ARIMA(2,0,0)(0,0,0)[0]             : AIC=inf, Time=0.21 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=1025.853, Time=0.68 sec\n",
      " ARIMA(3,0,2)(0,0,0)[0]             : AIC=1017.109, Time=0.61 sec\n",
      " ARIMA(3,0,1)(0,0,0)[0]             : AIC=inf, Time=0.69 sec\n",
      " ARIMA(4,0,2)(0,0,0)[0]             : AIC=1020.015, Time=0.61 sec\n",
      " ARIMA(3,0,3)(0,0,0)[0]             : AIC=inf, Time=0.53 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.37 sec\n",
      " ARIMA(4,0,1)(0,0,0)[0]             : AIC=inf, Time=0.44 sec\n",
      " ARIMA(4,0,3)(0,0,0)[0]             : AIC=1020.167, Time=0.50 sec\n",
      " ARIMA(3,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.53 sec\n",
      "\n",
      "Best model:  ARIMA(3,0,2)(0,0,0)[0]          \n",
      "Total fit time: 6.334 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1666.040, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.09 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1624.776, Time=0.08 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=1074.019, Time=1.17 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=inf, Time=0.23 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.28 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1618.658, Time=0.06 sec\n",
      " ARIMA(2,0,0)(0,0,0)[0]             : AIC=inf, Time=0.18 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.44 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0] intercept   : AIC=inf, Time=0.60 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,1)(0,0,0)[0]          \n",
      "Total fit time: 3.131 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1724.008, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.08 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1682.851, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.14 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1676.743, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.28 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1677.861, Time=0.06 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1013.769, Time=0.37 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.66 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=inf, Time=0.46 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1681.272, Time=0.08 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.39 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=1050.026, Time=0.76 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.39 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,3)(0,0,0)[0]          \n",
      "Total fit time: 3.769 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1673.186, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1631.964, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=1079.344, Time=0.23 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=inf, Time=0.43 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=1036.949, Time=0.45 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1625.606, Time=0.05 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=1.55 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1037.546, Time=0.42 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1626.400, Time=0.07 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.51 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.41 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,2)(0,0,0)[0]          \n",
      "Total fit time: 4.242 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1719.913, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.06 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1678.544, Time=0.05 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.16 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1671.993, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=inf, Time=0.42 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1672.797, Time=0.07 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=1024.681, Time=0.39 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.57 sec\n",
      " ARIMA(1,0,4)(0,0,0)[0]             : AIC=inf, Time=0.35 sec\n",
      " ARIMA(0,0,4)(0,0,0)[0]             : AIC=1675.866, Time=0.09 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.36 sec\n",
      " ARIMA(2,0,4)(0,0,0)[0]             : AIC=inf, Time=0.52 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0] intercept   : AIC=inf, Time=0.29 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,3)(0,0,0)[0]          \n",
      "Total fit time: 3.412 seconds\n",
      "Performing stepwise search to minimize aic\n",
      " ARIMA(0,0,0)(0,0,0)[0]             : AIC=1704.093, Time=0.01 sec\n",
      " ARIMA(1,0,0)(0,0,0)[0]             : AIC=inf, Time=0.08 sec\n",
      " ARIMA(0,0,1)(0,0,0)[0]             : AIC=1662.915, Time=0.04 sec\n",
      " ARIMA(1,0,1)(0,0,0)[0]             : AIC=inf, Time=0.21 sec\n",
      " ARIMA(0,0,2)(0,0,0)[0]             : AIC=1656.860, Time=0.06 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0]             : AIC=1047.832, Time=0.45 sec\n",
      " ARIMA(2,0,2)(0,0,0)[0]             : AIC=inf, Time=0.58 sec\n",
      " ARIMA(1,0,3)(0,0,0)[0]             : AIC=inf, Time=1.75 sec\n",
      " ARIMA(0,0,3)(0,0,0)[0]             : AIC=1658.021, Time=0.09 sec\n",
      " ARIMA(2,0,1)(0,0,0)[0]             : AIC=inf, Time=0.43 sec\n",
      " ARIMA(2,0,3)(0,0,0)[0]             : AIC=inf, Time=0.65 sec\n",
      " ARIMA(1,0,2)(0,0,0)[0] intercept   : AIC=inf, Time=0.55 sec\n",
      "\n",
      "Best model:  ARIMA(1,0,2)(0,0,0)[0]          \n",
      "Total fit time: 4.915 seconds\n"
     ]
    }
   ],
   "source": [
    "zip_predictions = {}\n",
    "\n",
    "#miami_budget_zips is a list of zipcodes in Miami-Dade County with average price under $300000\n",
    "for zipcode in miami_budget_zips:\n",
    "    \n",
    "    #Melting the time series of our given zipcode\n",
    "    series = th.melt_data(df[df['RegionName']== zipcode])\n",
    "    \n",
    "    #Only taking data from 2011 onwards to more accurately reflect current market conditions\n",
    "    recent_series = series['2011':]\n",
    "    \n",
    "    # Splitting the last 36 months of our series as a test dataset.\n",
    "    train_series = recent_series[:'2016-04']\n",
    "    test_series = recent_series['2016-05':]\n",
    "    \n",
    "    #Auto ARIMA model\n",
    "    auto_model = pm.auto_arima(train_series, start_p=0, start_q=0,\n",
    "                     test='adf',\n",
    "                     max_p=5, max_q=5,\n",
    "                     m=1,\n",
    "                     d=0,\n",
    "                     seasonal = True,\n",
    "                     start_P=0,start_Q=0,\n",
    "                     D=0,\n",
    "                     trace=True,\n",
    "                     error_action= 'ignore',\n",
    "                     suppress_warnings=True,\n",
    "                     stepwise=True,with_intercept=False)\n",
    "   \n",
    "    # Plug the optimal parameter values for our Training data into a SARIMAX model that fits our entire series.\n",
    "    ARIMA_MODEL = sm.tsa.statespace.SARIMAX(recent_series, \n",
    "                                            order= auto_model.order, \n",
    "                                            seasonal_order= auto_model.seasonal_order, \n",
    "                                            enforce_stationarity=False, \n",
    "                                            enforce_invertibility=False)\n",
    "\n",
    "    # Fit the model and print results\n",
    "    output = ARIMA_MODEL.fit()\n",
    "\n",
    "    ## Getting a forecast for the next 36 months after the last absrecorded date on our dataset.\n",
    "    forecast = output.get_forecast(36)\n",
    "    prediction = forecast.conf_int()\n",
    "    prediction['value'] = forecast.predicted_mean\n",
    "    prediction.columns = ['lower','upper','prediction'] \n",
    "    \n",
    "    #Adding the Zipcode's ROI to the zip_predictions dictionary\n",
    "    zip_predictions[zipcode] = ((prediction['prediction'][-1])\n",
    "                                - (series['value'][-1]))/ (series['value'][-1])\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Recommendations\n",
    "\n",
    "Having received all our forecasts, lets identify our Top 5 Zipcodes and see how they compare against each other."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sorting our 3 year ROI forecast for zipcodes into descending order\n",
    "sort_orders = sorted(zip_predictions.items(), key=lambda x: x[1], reverse=True)\n",
    "\n",
    "sorted_forecast_3yr = {}\n",
    "for i in sort_orders:\n",
    "\tsorted_forecast_3yr[i[0]] = i[1]\n",
    "\n",
    "#Selecting only the Top 5 Zips\n",
    "top_5_zipcodes = list(sorted_forecast_3yr.items())[:5]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(18,12))\n",
    "\n",
    "x_labels = [top_5_zipcodes[0][0],top_5_zipcodes[1][0],top_5_zipcodes[2][0],\n",
    "            top_5_zipcodes[3][0],top_5_zipcodes[4][0]]\n",
    "x = [1,2,3,4,5]\n",
    "y = [top_5_zipcodes[0][1],top_5_zipcodes[1][1],top_5_zipcodes[2][1],\n",
    "     top_5_zipcodes[3][1],top_5_zipcodes[4][1]]\n",
    "\n",
    "ax.bar(x, y, color='mediumslateblue')\n",
    "remaining_zipcodes = list(sorted_forecast_3yr.items())[5:]\n",
    "median_ROI_other_zips = remaining_zipcodes[5][1]\n",
    "ax.axhline(y=median_ROI_other_zips,label = 'Median ROI for remaining Zips')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(x_labels)\n",
    "ax.set_yticks([(a/100) for a in list(range(0,75,5))])\n",
    "ax.set_yticklabels([str(a)+'%' for a in list(range(0,75,5))])\n",
    "ax.set_title('Top 5 Recommendations', fontsize=20)\n",
    "ax.set_ylabel('Average ROI', fontsize=20)\n",
    "ax.set_xlabel('Zipcodes',fontsize=20)\n",
    "ax.legend(prop={'size': 15});"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Highest Growing Zipcode: 33056 is expected to grow by 62.75%\n"
     ]
    }
   ],
   "source": [
    "print(f'The Highest Growing Zipcode: {list(sorted_forecast_3yr.items())[:1][0][0]} is expected to grow by {round((list(sorted_forecast_3yr.items())[:1][0][1])*100,2)}%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see from above that our model predicts the zip-code region of 33056 to see the highest growth. But the other 4 of the top 5 zipcodes also have a forecasted ROI with encouraging returns. We can also see that our top 5 recommended zip codes are well above the median 3 year return of the remaining zip codes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion\n",
    "\n",
    "Based on our work above, we can finally conclude our top 5 recommendations and their expected ROI after 3 years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Highest Growing Zipcode: 33056 is expected to grow by 62.75%\n",
      "The Second Highest Growing Zipcode: 33030 is expected to grow by 57.29%\n",
      "The Third Highest Growing Zipcode: 33055 is expected to grow by 56.1%\n",
      "The Fourth Highest Growing Zipcode: 33033 is expected to grow by 54.74%\n",
      "The Fifth Highest Growing Zipcode: 33162 is expected to grow by 53.07%\n"
     ]
    }
   ],
   "source": [
    "print(f'The Highest Growing Zipcode: {list(sorted_forecast_3yr.items())[0][0]} is expected to grow by {round((list(sorted_forecast_3yr.items())[0][1])*100,2)}%')\n",
    "print(f'The Second Highest Growing Zipcode: {list(sorted_forecast_3yr.items())[1][0]} is expected to grow by {round((list(sorted_forecast_3yr.items())[1][1])*100,2)}%')\n",
    "print(f'The Third Highest Growing Zipcode: {list(sorted_forecast_3yr.items())[2][0]} is expected to grow by {round((list(sorted_forecast_3yr.items())[2][1])*100,2)}%')\n",
    "print(f'The Fourth Highest Growing Zipcode: {list(sorted_forecast_3yr.items())[3][0]} is expected to grow by {round((list(sorted_forecast_3yr.items())[3][1])*100,2)}%')\n",
    "print(f'The Fifth Highest Growing Zipcode: {list(sorted_forecast_3yr.items())[4][0]} is expected to grow by {round((list(sorted_forecast_3yr.items())[4][1])*100,2)}%')"
   ]
  },
  {
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    "After having completed our forecasting analysis, this concludes the scope of our project and therefore we leave the final investment decision on selecting one neighborhood to be made by the client based on their personal preferences. Below is a visualization of where our recommended regions are located. They are circled in red."
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