{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "35f16693-ffc9-4da9-80eb-f20c629cdaf8",
   "metadata": {},
   "source": [
    "# Fixing Weird Patterns When Plotting NEXRAD Level 3 Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3928bef-712e-4878-9881-d470696a1111",
   "metadata": {},
   "source": [
    "The motivation here comes from a thread on Twitter, indicating an issue when plotting NEXRAD Level 3 radial velocity (`NOU`).\n",
    "\n",
    "Here is the radar image, plotted by David ([@dryglick](https://twitter.com/dryglick)):\n",
    "\n",
    "<img src=\"../images/nexrad-plotting-issue.jpeg\" alt=\"drawing\" width=\"400\"/>\n",
    "\n",
    "Notice the odd pattern directly north/south and east/west of the radar...\n",
    "\n",
    "There appears to be a crosshair of grey/darker pixels in our image.\n",
    "\n",
    "This was identified as a [Moiré Pattern](https://en.wikipedia.org/wiki/Moiré_pattern), by Ryan May ([@dopplershift](https://twitter.com/dopplershift)), lead developer of MetPy, an open source python library for working with meteorological data."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c71dc7b9-ca2f-4fee-9765-f97f7d311763",
   "metadata": {},
   "source": [
    "## The Data\n",
    "We are using [NEXRAD Level 3 Data](https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00708), which is ground-based radar data in the United States, defined as:\n",
    "\n",
    "\"NEXRAD Level 3 products are used to remotely detect atmospheric features, such as precipitation, precipitation-type, storms, turbulence and wind, for operational forecasting and data research analysis.\"\n",
    "\n",
    "This dataset is provided by the National Oceanic and Atmospheric Administration (NOAA).\n",
    "\n",
    "### Data Access\n",
    "We can access this dataset using the [NCEI NEXRAD Level 3 Search Portal](https://www.ncei.noaa.gov/access/search/data-search/weather-radar-level-iii). We **could** access data from Amazon Web Services (AWS) if we were interested in data **after 2020**, but since we are looking at at data from 2018, we need to use the NCEI archive.\n",
    "\n",
    "David mentioned he was looking at velocity data (`N0U`) from Elgin Air Force Base in the Panhandle of Florida, with the station identifier of `KEVX`, at **1458 UTC on October 10, 2018**, which was hours before [Hurricane Michael](https://www.nhc.noaa.gov/data/tcr/AL142018_Michael.pdf) made landfall along the Gulf Coast.\n",
    "\n",
    "We can enter the:\n",
    "- Radar data field (`N0U`)\n",
    "- Location (`KEVX`)\n",
    "- Date/time (`10/10/2018 at 1458 UTC`)\n",
    "\n",
    "into our query. Here is what it should lookl like on the webpage:\n",
    "\n",
    "<img src=\"../images/nexrad-level3-radar-query.png\" alt=\"radar-data-query\" width=\"600\"/>\n",
    "\n",
    "Once we add this to our cart, and wait for the data to be sent to our email, we download via HTTP (through a website) or FTP. \n",
    "\n",
    "We can now unzip the compressed file, then take a look at our data file, reading in the `N0U` (`velocity`) field.\n",
    "\n",
    "The specific file we are interested in is:\n",
    "\n",
    "`KMOB_SDUS54_N0UEVX_201810101458`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e3a1aaf-6807-4f54-87d6-ef8e06e00e6f",
   "metadata": {},
   "source": [
    "## Recreate the Issue Using PyART"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec0352c3-0116-4474-bf66-a29763dfe926",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "083ffbfd-ca2a-41ba-b8ab-c7bd164fd230",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
      "## library for working with weather radar data. Py-ART is partly\n",
      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
      "## Science user facility.\n",
      "##\n",
      "## If you use this software to prepare a publication, please cite:\n",
      "##\n",
      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import matplotlib.colors as mcolors\n",
    "import pyart\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63edeec3-7c1c-4945-acb5-507a513e23d5",
   "metadata": {},
   "source": [
    "### Read the data using PyART\n",
    "When reading into PyART, we can use the [`pyart.io.read_level3`](https://arm-doe.github.io/pyart/API/generated/pyart.io.read_nexrad_level3.html#pyart.io.read_nexrad_level3) module, **or**, we can use the [`pyart.io.read`](https://arm-doe.github.io/pyart/API/generated/pyart.io.read.html#pyart.io.read) module which automatically detects the filetype being read in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "12f32eb8-d077-42d5-ba31-c84f0f21ab0a",
   "metadata": {},
   "outputs": [],
   "source": [
    "radar = pyart.io.read(\"KMOB_SDUS54_N0UEVX_201810101458\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1767ae05-d221-469c-a3fa-7e0a42734b9b",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Plot our Data Using `RadarMapDisplay`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a0fe840-75c8-4a18-916c-baaa0ac9bfb0",
   "metadata": {},
   "source": [
    "#### Setting our Matplotlib style\n",
    "Before we dig into plotting, let's set our background to dark since that is what the original image showed and it will be easier to identify the pattern in the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cb8a65fd-5e82-47eb-8f96-4bbfb894d79a",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.style.use(\"dark_background\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d26d0a9b-3138-41ac-8af8-dd30d59976de",
   "metadata": {},
   "source": [
    "#### Plot our data without setting `alpha`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3779e9fe-686d-4775-a3a5-ee37af5bfe7c",
   "metadata": {},
   "source": [
    "Since we want geographical boundaries on our map, let's use `RadarMapDisplay` with our `Radar` object to create the map.\n",
    "\n",
    "When we create our plot, everything looks okay - we don't see the odd Moiré Pattern..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2cfe6549-d6ea-4dce-85b0-e431d0edca16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 7))\n",
    "display = pyart.graph.RadarMapDisplay(radar)\n",
    "display.plot_ppi_map(\n",
    "    \"velocity\",\n",
    "    sweep=0,\n",
    "    vmin=-100,\n",
    "    vmax=100,\n",
    "    projection=ccrs.PlateCarree(),\n",
    "    colorbar_label=\"radial velocity (m/s)\",\n",
    "    cmap=\"pyart_balance\",\n",
    ")\n",
    "plt.xlim(-88, -83)\n",
    "plt.ylim(28, 33)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fb03fe7-88a0-4d06-a435-cdfc4fd9d628",
   "metadata": {},
   "source": [
    "#### Add in the `alpha` argument"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cdb09a6-3193-4d05-9e76-910a914da30e",
   "metadata": {},
   "source": [
    "When we add in the `alpha=0.8` argument, which adjusts the ***transparency*** of our field, we start to see the pattern. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "19958b30-f737-4b0b-8b22-855d437f0cb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10, 7))\n",
    "display = pyart.graph.RadarMapDisplay(radar)\n",
    "display.plot_ppi_map(\n",
    "    \"velocity\",\n",
    "    alpha=0.8,\n",
    "    sweep=0,\n",
    "    vmin=-100,\n",
    "    vmax=100,\n",
    "    projection=ccrs.PlateCarree(),\n",
    "    colorbar_label=\"radial velocity (m/s)\",\n",
    "    cmap=\"pyart_balance\",\n",
    ")\n",
    "\n",
    "plt.xlim(-88, -83)\n",
    "plt.ylim(28, 33)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eecddc06-43a3-412e-8bfd-cdeb69df82f1",
   "metadata": {},
   "source": [
    "## Dig into the Issue\n",
    "\n",
    "### Investigate `plot_ppi_map`\n",
    "Let's take a look at the specific plotting call being made with `plot_ppi_map` using `??`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5c026fce-79a1-405b-b611-7017f73ad447",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m\n",
       "\u001b[0mdisplay\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_ppi_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0msweep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmask_tuple\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mnorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmask_outside\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mtitle_flag\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcolorbar_flag\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcolorbar_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlat_lines\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlon_lines\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmin_lon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmax_lon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmin_lat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mmax_lat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlon_0\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mlat_0\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mresolution\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'110m'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshapefile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshapefile_kwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0medges\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mgatefilter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mfilter_transitions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0membelish\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mraster\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mticks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mticklabs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mSource:\u001b[0m   \n",
       "    \u001b[0;32mdef\u001b[0m \u001b[0mplot_ppi_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msweep\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask_tuple\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask_outside\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle_flag\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mcolorbar_flag\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolorbar_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mlat_lines\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlon_lines\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mmin_lon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_lon\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmin_lat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_lat\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlon_0\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlat_0\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mresolution\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'110m'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshapefile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshapefile_kwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0medges\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgatefilter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mfilter_transitions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0membelish\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mraster\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mticks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mticklabs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;34m\"\"\"\u001b[0m\n",
       "\u001b[0;34m        Plot a PPI volume sweep onto a geographic map.\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m        Parameters\u001b[0m\n",
       "\u001b[0;34m        ----------\u001b[0m\n",
       "\u001b[0;34m        field : str\u001b[0m\n",
       "\u001b[0;34m            Field to plot.\u001b[0m\n",
       "\u001b[0;34m        sweep : int, optional\u001b[0m\n",
       "\u001b[0;34m            Sweep number to plot.\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m        Other Parameters\u001b[0m\n",
       "\u001b[0;34m        ----------------\u001b[0m\n",
       "\u001b[0;34m        mask_tuple : (str, float)\u001b[0m\n",
       "\u001b[0;34m            Tuple containing the field name and value below which to mask\u001b[0m\n",
       "\u001b[0;34m            field prior to plotting, for example to mask all data where\u001b[0m\n",
       "\u001b[0;34m            NCP < 0.5 set mask_tuple to ['NCP', 0.5]. None performs no masking.\u001b[0m\n",
       "\u001b[0;34m        vmin : float\u001b[0m\n",
       "\u001b[0;34m            Luminance minimum value, None for default value.\u001b[0m\n",
       "\u001b[0;34m            Parameter is ignored is norm is not None.\u001b[0m\n",
       "\u001b[0;34m        vmax : float\u001b[0m\n",
       "\u001b[0;34m            Luminance maximum value, None for default value.\u001b[0m\n",
       "\u001b[0;34m            Parameter is ignored is norm is not None.\u001b[0m\n",
       "\u001b[0;34m        norm : Normalize or None, optional\u001b[0m\n",
       "\u001b[0;34m            matplotlib Normalize instance used to scale luminance data. If not\u001b[0m\n",
       "\u001b[0;34m            None the vmax and vmin parameters are ignored. If None, vmin and\u001b[0m\n",
       "\u001b[0;34m            vmax are used for luminance scaling.\u001b[0m\n",
       "\u001b[0;34m        cmap : str or None\u001b[0m\n",
       "\u001b[0;34m            Matplotlib colormap name. None will use the default colormap for\u001b[0m\n",
       "\u001b[0;34m            the field being plotted as specified by the Py-ART configuration.\u001b[0m\n",
       "\u001b[0;34m        mask_outside : bool\u001b[0m\n",
       "\u001b[0;34m            True to mask data outside of vmin, vmax. False performs no\u001b[0m\n",
       "\u001b[0;34m            masking.\u001b[0m\n",
       "\u001b[0;34m        title : str\u001b[0m\n",
       "\u001b[0;34m            Title to label plot with, None to use default title generated from\u001b[0m\n",
       "\u001b[0;34m            the field and tilt parameters. Parameter is ignored if title_flag\u001b[0m\n",
       "\u001b[0;34m            is False.\u001b[0m\n",
       "\u001b[0;34m        title_flag : bool\u001b[0m\n",
       "\u001b[0;34m            True to add a title to the plot, False does not add a title.\u001b[0m\n",
       "\u001b[0;34m        colorbar_flag : bool\u001b[0m\n",
       "\u001b[0;34m            True to add a colorbar with label to the axis. False leaves off\u001b[0m\n",
       "\u001b[0;34m            the colorbar.\u001b[0m\n",
       "\u001b[0;34m        ticks : array\u001b[0m\n",
       "\u001b[0;34m            Colorbar custom tick label locations.\u001b[0m\n",
       "\u001b[0;34m        ticklabs : array\u001b[0m\n",
       "\u001b[0;34m            Colorbar custom tick labels.\u001b[0m\n",
       "\u001b[0;34m        colorbar_label : str\u001b[0m\n",
       "\u001b[0;34m            Colorbar label, None will use a default label generated from the\u001b[0m\n",
       "\u001b[0;34m            field information.\u001b[0m\n",
       "\u001b[0;34m        ax : Cartopy GeoAxes instance\u001b[0m\n",
       "\u001b[0;34m            If None, create GeoAxes instance using other keyword info.\u001b[0m\n",
       "\u001b[0;34m            If provided, ax must have a Cartopy crs projection and projection\u001b[0m\n",
       "\u001b[0;34m            kwarg below is ignored.\u001b[0m\n",
       "\u001b[0;34m        fig : Figure\u001b[0m\n",
       "\u001b[0;34m            Figure to add the colorbar to. None will use the current figure.\u001b[0m\n",
       "\u001b[0;34m        lat_lines, lon_lines : array or None\u001b[0m\n",
       "\u001b[0;34m            Locations at which to draw latitude and longitude lines.\u001b[0m\n",
       "\u001b[0;34m            None will use default values which are resonable for maps of\u001b[0m\n",
       "\u001b[0;34m            North America.\u001b[0m\n",
       "\u001b[0;34m        projection : cartopy.crs class\u001b[0m\n",
       "\u001b[0;34m            Map projection supported by cartopy. Used for all subsequent calls\u001b[0m\n",
       "\u001b[0;34m            to the GeoAxes object generated. Defaults to LambertConformal\u001b[0m\n",
       "\u001b[0;34m            centered on radar.\u001b[0m\n",
       "\u001b[0;34m        min_lat, max_lat, min_lon, max_lon : float\u001b[0m\n",
       "\u001b[0;34m            Latitude and longitude ranges for the map projection region in\u001b[0m\n",
       "\u001b[0;34m            degrees.\u001b[0m\n",
       "\u001b[0;34m        width, height : float\u001b[0m\n",
       "\u001b[0;34m            Width and height of map domain in meters.\u001b[0m\n",
       "\u001b[0;34m            Only this set of parameters or the previous set of parameters\u001b[0m\n",
       "\u001b[0;34m            (min_lat, max_lat, min_lon, max_lon) should be specified.\u001b[0m\n",
       "\u001b[0;34m            If neither set is specified then the map domain will be determined\u001b[0m\n",
       "\u001b[0;34m            from the extend of the radar gate locations.\u001b[0m\n",
       "\u001b[0;34m        shapefile : str\u001b[0m\n",
       "\u001b[0;34m            Filename for a shapefile to add to map.\u001b[0m\n",
       "\u001b[0;34m        shapefile_kwargs : dict\u001b[0m\n",
       "\u001b[0;34m            Key word arguments used to format shapefile. Projection defaults\u001b[0m\n",
       "\u001b[0;34m            to lat lon (cartopy.crs.PlateCarree())\u001b[0m\n",
       "\u001b[0;34m        resolution : '10m', '50m', '110m'.\u001b[0m\n",
       "\u001b[0;34m            Resolution of NaturalEarthFeatures to use. See Cartopy\u001b[0m\n",
       "\u001b[0;34m            documentation for details.\u001b[0m\n",
       "\u001b[0;34m        gatefilter : GateFilter\u001b[0m\n",
       "\u001b[0;34m            GateFilter instance. None will result in no gatefilter mask being\u001b[0m\n",
       "\u001b[0;34m            applied to data.\u001b[0m\n",
       "\u001b[0;34m        filter_transitions : bool\u001b[0m\n",
       "\u001b[0;34m            True to remove rays where the antenna was in transition between\u001b[0m\n",
       "\u001b[0;34m            sweeps from the plot. False will include these rays in the plot.\u001b[0m\n",
       "\u001b[0;34m            No rays are filtered when the antenna_transition attribute of the\u001b[0m\n",
       "\u001b[0;34m            underlying radar is not present.\u001b[0m\n",
       "\u001b[0;34m        edges : bool\u001b[0m\n",
       "\u001b[0;34m            True will interpolate and extrapolate the gate edges from the\u001b[0m\n",
       "\u001b[0;34m            range, azimuth and elevations in the radar, treating these\u001b[0m\n",
       "\u001b[0;34m            as specifying the center of each gate. False treats these\u001b[0m\n",
       "\u001b[0;34m            coordinates themselved as the gate edges, resulting in a plot\u001b[0m\n",
       "\u001b[0;34m            in which the last gate in each ray and the entire last ray are not\u001b[0m\n",
       "\u001b[0;34m            not plotted.\u001b[0m\n",
       "\u001b[0;34m        embelish: bool\u001b[0m\n",
       "\u001b[0;34m            True by default. Set to False to supress drawing of coastlines\u001b[0m\n",
       "\u001b[0;34m            etc.. Use for speedup when specifying shapefiles.\u001b[0m\n",
       "\u001b[0;34m            Note that lat lon labels only work with certain projections.\u001b[0m\n",
       "\u001b[0;34m        raster : bool\u001b[0m\n",
       "\u001b[0;34m            False by default. Set to true to render the display as a raster\u001b[0m\n",
       "\u001b[0;34m            rather than a vector in call to pcolormesh. Saves time in plotting\u001b[0m\n",
       "\u001b[0;34m            high resolution data over large areas. Be sure to set the dpi\u001b[0m\n",
       "\u001b[0;34m            of the plot for your application if you save it as a vector format\u001b[0m\n",
       "\u001b[0;34m            (i.e., pdf, eps, svg).\u001b[0m\n",
       "\u001b[0;34m        alpha : float or None\u001b[0m\n",
       "\u001b[0;34m            Set the alpha tranparency of the radar plot. Useful for\u001b[0m\n",
       "\u001b[0;34m            overplotting radar over other datasets.\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# parse parameters\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparse_vmin_vmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_radar\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mcmap\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparse_cmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcmap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfield\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mlat_lines\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mlat_lines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m46\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mlon_lines\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mlon_lines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m110\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m75\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mlat_0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mlon_0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# get data for the plot\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msweep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask_tuple\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilter_transitions\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgatefilter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_x_y\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msweep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0medges\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilter_transitions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# mask the data where outside the limits\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mmask_outside\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmasked_outside\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# Define a figure if None is provided.\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mfig\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgcf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# initialize instance of GeoAxes if not provided\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0max\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'projection'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mprojection\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;32mif\u001b[0m \u001b[0mprojection\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;31m# set map projection to LambertConformal if none is\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;31m# specified.\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mprojection\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLambertConformal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                        \u001b[0mcentral_longitude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon_0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcentral_latitude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlat_0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                        \u001b[0;34m\"No projection was defined for the axes.\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                        \u001b[0;34m+\u001b[0m \u001b[0;34m\" Overridding defined axes and using default \"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                        \u001b[0;34m+\u001b[0m \u001b[0;34m\"axes with projection Lambert Conformal.\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                        \u001b[0mUserWarning\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# Define GeoAxes if None is provided.\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0mprojection\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;31m# set map projection to LambertConformal if none is\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;31m# specified.\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mprojection\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLambertConformal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mcentral_longitude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon_0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcentral_latitude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlat_0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;34m\"No projection was defined for the axes.\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;34m+\u001b[0m \u001b[0;34m\" Overridding defined axes and using default \"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0;34m+\u001b[0m \u001b[0;34m\"axes with projection Lambert Conformal.\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mUserWarning\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mmin_lon\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_extent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mmin_lon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_lon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmin_lat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_lat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                          \u001b[0mcrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melif\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_extent\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mheight\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheight\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2.\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                          \u001b[0mcrs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrid_projection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# plot the data\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mnorm\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# if norm is set do not override with vmin/vmax\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mvmin\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvmax\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mpm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpcolormesh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m1000.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m1000.\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                           \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvmin\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mvmax\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcmap\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                           \u001b[0mnorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnorm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtransform\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrid_projection\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# plot as raster in vector graphics files\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mraster\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mpm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_rasterized\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# add embelishments\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0membelish\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;31m# Create a feature for States/Admin 1 regions at 1:resolution\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;31m# from Natural Earth\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mstates_provinces\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfeature\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNaturalEarthFeature\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mcategory\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'cultural'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'admin_1_states_provinces_lines'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mscale\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mresolution\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mfacecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'none'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoastlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresolution\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mresolution\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_feature\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstates_provinces\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0medgecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'gray'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;31m# labeling gridlines poses some difficulties depending on the\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;31m# projection, so we need some projection-spectific methods\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprojection\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                                 \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMercator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mgl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgridlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxlocs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon_lines\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mylocs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlat_lines\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                                  \u001b[0mdraw_labels\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mgl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabels_top\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mgl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mylabels_right\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprojection\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLambertConformal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgridlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxlocs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon_lines\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mylocs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlat_lines\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;31m# Label the end-points of the gridlines using the custom\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;31m# tick makers:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxaxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_major_formatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgridliner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLONGITUDE_FORMATTER\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myaxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_major_formatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmpl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgridliner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLATITUDE_FORMATTER\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;32mif\u001b[0m \u001b[0m_LAMBERT_GRIDLINES\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mlambert_xticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlon_lines\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mlambert_yticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlat_lines\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgridlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxlocs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlon_lines\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mylocs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlat_lines\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# plot the data and optionally the shape file\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# we need to convert the radar gate locations (x and y) which are in\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# km to meters we also need to give the original projection of the\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# data which is stored in self.grid_projection\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mshapefile\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mfrom\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshapereader\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mReader\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0mshapefile_kwargs\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mshapefile_kwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mif\u001b[0m \u001b[0;34m'crs'\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mshapefile_kwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mshapefile_kwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'crs'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcartopy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcrs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPlateCarree\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_geometries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mshapefile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgeometries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                              \u001b[0;34m**\u001b[0m\u001b[0mshapefile_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mtitle_flag\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_set_title\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msweep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# add plot and field to lists\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplots\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpm\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfield\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mcolorbar_flag\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_colorbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0mmappable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolorbar_label\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfield\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mticks\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mticks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mticklabs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mticklabs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;31m# keep track of this GeoAxes object for later\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mFile:\u001b[0m      ~/git_repos/pyart/pyart/graph/radarmapdisplay.py\n",
       "\u001b[0;31mType:\u001b[0m      method\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "??display.plot_ppi_map"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1872f39-dc4f-4561-b5e5-79ae6f159c58",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "We are using `matplotlib.pyplot.pcolormesh` (`plt.pcolormesh`) here to plot our radar data - using the included parameters:\n",
    "- alpha (data transparency)\n",
    "- vmin (minimum value to plot)\n",
    "- vmax (maximum value to plot)\n",
    "- cmap (colormap to use)\n",
    "- norm (colormap normalization)\n",
    "- transform (which projection to use)\n",
    "\n",
    "For `pcolormesh` parameters **not included in this list**, `pyart` is using the default parameters..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "be48b19d-da3a-4feb-8495-fe4d212701a7",
   "metadata": {},
   "source": [
    "### Investigate `pcolormesh` parameters\n",
    "In a similar fashion to the `plot_ppi_map` function from `pyart`, we can take a look at the parameters for `plt.pcolormesh`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5bd2d83a-edcd-4e23-9be0-efaeac383206",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m\n",
       "\u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpcolormesh\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mnorm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mshading\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mantialiased\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Create a pseudocolor plot with a non-regular rectangular grid.\n",
       "\n",
       "Call signature::\n",
       "\n",
       "    pcolormesh([X, Y,] C, **kwargs)\n",
       "\n",
       "*X* and *Y* can be used to specify the corners of the quadrilaterals.\n",
       "\n",
       ".. hint::\n",
       "\n",
       "   `~.Axes.pcolormesh` is similar to `~.Axes.pcolor`. It is much faster\n",
       "   and preferred in most cases. For a detailed discussion on the\n",
       "   differences see :ref:`Differences between pcolor() and pcolormesh()\n",
       "   <differences-pcolor-pcolormesh>`.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "C : 2D array-like\n",
       "    The color-mapped values.\n",
       "\n",
       "X, Y : array-like, optional\n",
       "    The coordinates of the corners of quadrilaterals of a pcolormesh::\n",
       "\n",
       "        (X[i+1, j], Y[i+1, j])       (X[i+1, j+1], Y[i+1, j+1])\n",
       "                              +-----+\n",
       "                              |     |\n",
       "                              +-----+\n",
       "            (X[i, j], Y[i, j])       (X[i, j+1], Y[i, j+1])\n",
       "\n",
       "    Note that the column index corresponds to the x-coordinate, and\n",
       "    the row index corresponds to y. For details, see the\n",
       "    :ref:`Notes <axes-pcolormesh-grid-orientation>` section below.\n",
       "\n",
       "    If ``shading='flat'`` the dimensions of *X* and *Y* should be one\n",
       "    greater than those of *C*, and the quadrilateral is colored due\n",
       "    to the value at ``C[i, j]``.  If *X*, *Y* and *C* have equal\n",
       "    dimensions, a warning will be raised and the last row and column\n",
       "    of *C* will be ignored.\n",
       "\n",
       "    If ``shading='nearest'`` or ``'gouraud'``, the dimensions of *X*\n",
       "    and *Y* should be the same as those of *C* (if not, a ValueError\n",
       "    will be raised).  For ``'nearest'`` the color ``C[i, j]`` is\n",
       "    centered on ``(X[i, j], Y[i, j])``.  For ``'gouraud'``, a smooth\n",
       "    interpolation is caried out between the quadrilateral corners.\n",
       "\n",
       "    If *X* and/or *Y* are 1-D arrays or column vectors they will be\n",
       "    expanded as needed into the appropriate 2D arrays, making a\n",
       "    rectangular grid.\n",
       "\n",
       "cmap : str or `~matplotlib.colors.Colormap`, default: :rc:`image.cmap`\n",
       "    A Colormap instance or registered colormap name. The colormap\n",
       "    maps the *C* values to colors.\n",
       "\n",
       "norm : `~matplotlib.colors.Normalize`, optional\n",
       "    The Normalize instance scales the data values to the canonical\n",
       "    colormap range [0, 1] for mapping to colors. By default, the data\n",
       "    range is mapped to the colorbar range using linear scaling.\n",
       "\n",
       "vmin, vmax : float, default: None\n",
       "    The colorbar range. If *None*, suitable min/max values are\n",
       "    automatically chosen by the `.Normalize` instance (defaults to\n",
       "    the respective min/max values of *C* in case of the default linear\n",
       "    scaling).\n",
       "    It is an error to use *vmin*/*vmax* when *norm* is given.\n",
       "\n",
       "edgecolors : {'none', None, 'face', color, color sequence}, optional\n",
       "    The color of the edges. Defaults to 'none'. Possible values:\n",
       "\n",
       "    - 'none' or '': No edge.\n",
       "    - *None*: :rc:`patch.edgecolor` will be used. Note that currently\n",
       "      :rc:`patch.force_edgecolor` has to be True for this to work.\n",
       "    - 'face': Use the adjacent face color.\n",
       "    - A color or sequence of colors will set the edge color.\n",
       "\n",
       "    The singular form *edgecolor* works as an alias.\n",
       "\n",
       "alpha : float, default: None\n",
       "    The alpha blending value, between 0 (transparent) and 1 (opaque).\n",
       "\n",
       "shading : {'flat', 'nearest', 'gouraud', 'auto'}, optional\n",
       "    The fill style for the quadrilateral; defaults to\n",
       "    'flat' or :rc:`pcolor.shading`. Possible values:\n",
       "\n",
       "    - 'flat': A solid color is used for each quad. The color of the\n",
       "      quad (i, j), (i+1, j), (i, j+1), (i+1, j+1) is given by\n",
       "      ``C[i, j]``. The dimensions of *X* and *Y* should be\n",
       "      one greater than those of *C*; if they are the same as *C*,\n",
       "      then a deprecation warning is raised, and the last row\n",
       "      and column of *C* are dropped.\n",
       "    - 'nearest': Each grid point will have a color centered on it,\n",
       "      extending halfway between the adjacent grid centers.  The\n",
       "      dimensions of *X* and *Y* must be the same as *C*.\n",
       "    - 'gouraud': Each quad will be Gouraud shaded: The color of the\n",
       "      corners (i', j') are given by ``C[i', j']``. The color values of\n",
       "      the area in between is interpolated from the corner values.\n",
       "      The dimensions of *X* and *Y* must be the same as *C*. When\n",
       "      Gouraud shading is used, *edgecolors* is ignored.\n",
       "    - 'auto': Choose 'flat' if dimensions of *X* and *Y* are one\n",
       "      larger than *C*.  Choose 'nearest' if dimensions are the same.\n",
       "\n",
       "    See :doc:`/gallery/images_contours_and_fields/pcolormesh_grids`\n",
       "    for more description.\n",
       "\n",
       "snap : bool, default: False\n",
       "    Whether to snap the mesh to pixel boundaries.\n",
       "\n",
       "rasterized : bool, optional\n",
       "    Rasterize the pcolormesh when drawing vector graphics.  This can\n",
       "    speed up rendering and produce smaller files for large data sets.\n",
       "    See also :doc:`/gallery/misc/rasterization_demo`.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "`matplotlib.collections.QuadMesh`\n",
       "\n",
       "Other Parameters\n",
       "----------------\n",
       "data : indexable object, optional\n",
       "    If given, all parameters also accept a string ``s``, which is\n",
       "    interpreted as ``data[s]`` (unless this raises an exception).\n",
       "\n",
       "**kwargs\n",
       "    Additionally, the following arguments are allowed. They are passed\n",
       "    along to the `~matplotlib.collections.QuadMesh` constructor:\n",
       "\n",
       "Properties:\n",
       "    agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array\n",
       "    alpha: array-like or scalar or None\n",
       "    animated: bool\n",
       "    antialiased or aa or antialiaseds: bool or list of bools\n",
       "    array: (M, N) array-like or M*N array-like\n",
       "    capstyle: `.CapStyle` or {'butt', 'projecting', 'round'}\n",
       "    clim: (vmin: float, vmax: float)\n",
       "    clip_box: `.Bbox`\n",
       "    clip_on: bool\n",
       "    clip_path: Patch or (Path, Transform) or None\n",
       "    cmap: `.Colormap` or str or None\n",
       "    color: color or list of rgba tuples\n",
       "    edgecolor or ec or edgecolors: color or list of colors or 'face'\n",
       "    facecolor or facecolors or fc: color or list of colors\n",
       "    figure: `.Figure`\n",
       "    gid: str\n",
       "    hatch: {'/', '\\\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}\n",
       "    in_layout: bool\n",
       "    joinstyle: `.JoinStyle` or {'miter', 'round', 'bevel'}\n",
       "    label: object\n",
       "    linestyle or dashes or linestyles or ls: str or tuple or list thereof\n",
       "    linewidth or linewidths or lw: float or list of floats\n",
       "    norm: `.Normalize` or None\n",
       "    offset_transform: `.Transform`\n",
       "    offsets: (N, 2) or (2,) array-like\n",
       "    path_effects: `.AbstractPathEffect`\n",
       "    picker: None or bool or float or callable\n",
       "    pickradius: float\n",
       "    rasterized: bool\n",
       "    sketch_params: (scale: float, length: float, randomness: float)\n",
       "    snap: bool or None\n",
       "    transform: `.Transform`\n",
       "    url: str\n",
       "    urls: list of str or None\n",
       "    visible: bool\n",
       "    zorder: float\n",
       "\n",
       "See Also\n",
       "--------\n",
       "pcolor : An alternative implementation with slightly different\n",
       "    features. For a detailed discussion on the differences see\n",
       "    :ref:`Differences between pcolor() and pcolormesh()\n",
       "    <differences-pcolor-pcolormesh>`.\n",
       "imshow : If *X* and *Y* are each equidistant, `~.Axes.imshow` can be a\n",
       "    faster alternative.\n",
       "\n",
       "Notes\n",
       "-----\n",
       "**Masked arrays**\n",
       "\n",
       "*C* may be a masked array. If ``C[i, j]`` is masked, the corresponding\n",
       "quadrilateral will be transparent. Masking of *X* and *Y* is not\n",
       "supported. Use `~.Axes.pcolor` if you need this functionality.\n",
       "\n",
       ".. _axes-pcolormesh-grid-orientation:\n",
       "\n",
       "**Grid orientation**\n",
       "\n",
       "The grid orientation follows the standard matrix convention: An array\n",
       "*C* with shape (nrows, ncolumns) is plotted with the column number as\n",
       "*X* and the row number as *Y*.\n",
       "\n",
       ".. _differences-pcolor-pcolormesh:\n",
       "\n",
       "**Differences between pcolor() and pcolormesh()**\n",
       "\n",
       "Both methods are used to create a pseudocolor plot of a 2D array\n",
       "using quadrilaterals.\n",
       "\n",
       "The main difference lies in the created object and internal data\n",
       "handling:\n",
       "While `~.Axes.pcolor` returns a `.PolyCollection`, `~.Axes.pcolormesh`\n",
       "returns a `.QuadMesh`. The latter is more specialized for the given\n",
       "purpose and thus is faster. It should almost always be preferred.\n",
       "\n",
       "There is also a slight difference in the handling of masked arrays.\n",
       "Both `~.Axes.pcolor` and `~.Axes.pcolormesh` support masked arrays\n",
       "for *C*. However, only `~.Axes.pcolor` supports masked arrays for *X*\n",
       "and *Y*. The reason lies in the internal handling of the masked values.\n",
       "`~.Axes.pcolor` leaves out the respective polygons from the\n",
       "PolyCollection. `~.Axes.pcolormesh` sets the facecolor of the masked\n",
       "elements to transparent. You can see the difference when using\n",
       "edgecolors. While all edges are drawn irrespective of masking in a\n",
       "QuadMesh, the edge between two adjacent masked quadrilaterals in\n",
       "`~.Axes.pcolor` is not drawn as the corresponding polygons do not\n",
       "exist in the PolyCollection.\n",
       "\n",
       "Another difference is the support of Gouraud shading in\n",
       "`~.Axes.pcolormesh`, which is not available with `~.Axes.pcolor`.\n",
       "\u001b[0;31mFile:\u001b[0m      ~/opt/anaconda3/envs/pyart-docs/lib/python3.9/site-packages/matplotlib/pyplot.py\n",
       "\u001b[0;31mType:\u001b[0m      function\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "?plt.pcolormesh"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3811c660-92db-4604-94e6-9079ff1bc9f0",
   "metadata": {},
   "source": [
    "#### Digging into `edgecolors`\n",
    "Notice how one of the arguments included here is `edgecolors`, which by default, is `none`. One of the options here is to set these to be \"face\", which is the adjacent data color.\n",
    "\n",
    "Let's test this out with our data to see if changing this parameter makes a difference..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea44fcf0-319d-4924-ad0b-297c8a785c75",
   "metadata": {},
   "source": [
    "### Try Modifying the `edgecolors` argument with `pcolormesh`\n",
    "Let's test this out with our data!\n",
    "\n",
    "First, let's read in the numpy array of data using `['data']`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "699f8e92-dfa6-4b12-95a0-d3b54d564d48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "masked_array(\n",
       "  data=[[--, --, --, ..., --, --, --],\n",
       "        [--, --, --, ..., --, --, --],\n",
       "        [--, --, --, ..., --, --, --],\n",
       "        ...,\n",
       "        [--, --, --, ..., --, --, --],\n",
       "        [--, --, --, ..., --, --, --],\n",
       "        [--, --, --, ..., --, --, --]],\n",
       "  mask=[[ True,  True,  True, ...,  True,  True,  True],\n",
       "        [ True,  True,  True, ...,  True,  True,  True],\n",
       "        [ True,  True,  True, ...,  True,  True,  True],\n",
       "        ...,\n",
       "        [ True,  True,  True, ...,  True,  True,  True],\n",
       "        [ True,  True,  True, ...,  True,  True,  True],\n",
       "        [ True,  True,  True, ...,  True,  True,  True]],\n",
       "  fill_value=1e+20,\n",
       "  dtype=float32)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "velocity = radar.fields[\"velocity\"][\"data\"]\n",
    "velocity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ca9279a-1d84-4b09-b69c-11fa3977de02",
   "metadata": {},
   "source": [
    "Next, we need to access our coordinates in latitude/longitude form using `get_gate_lat_lon_alt(sweep)`\n",
    "\n",
    "Since we only have a single sweep, we can set that to 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "17f8683b-db07-4363-ae10-6e1892b5809b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[30.565   , 30.562763, 30.560526, ..., 27.888458, 27.886227,\n",
       "         27.883991],\n",
       "        [30.565   , 30.562765, 30.560532, ..., 27.892834, 27.890606,\n",
       "         27.888374],\n",
       "        [30.565   , 30.562769, 30.56054 , ..., 27.898003, 27.89578 ,\n",
       "         27.893553],\n",
       "        ...,\n",
       "        [30.565   , 30.562756, 30.560509, ..., 27.880096, 27.877857,\n",
       "         27.875618],\n",
       "        [30.565   , 30.562756, 30.560513, ..., 27.881853, 27.879616,\n",
       "         27.877377],\n",
       "        [30.565   , 30.56276 , 30.560518, ..., 27.884874, 27.88264 ,\n",
       "         27.880404]], dtype=float32),\n",
       " array([[-85.92199 , -85.92222 , -85.92245 , ..., -86.186806, -86.18703 ,\n",
       "         -86.18723 ],\n",
       "        [-85.92199 , -85.922264, -85.92254 , ..., -86.2396  , -86.23986 ,\n",
       "         -86.24012 ],\n",
       "        [-85.92199 , -85.92231 , -85.92263 , ..., -86.29231 , -86.29262 ,\n",
       "         -86.29292 ],\n",
       "        ...,\n",
       "        [-85.92199 , -85.92208 , -85.92218 , ..., -86.02802 , -86.02811 ,\n",
       "         -86.0282  ],\n",
       "        [-85.92199 , -85.92212 , -85.92226 , ..., -86.07571 , -86.07583 ,\n",
       "         -86.07595 ],\n",
       "        [-85.92199 , -85.92218 , -85.922356, ..., -86.133934, -86.1341  ,\n",
       "         -86.13428 ]], dtype=float32))"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lats, lons, alt = radar.get_gate_lat_lon_alt(0)\n",
    "lats, lons"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4da6d435-95a2-4279-b991-dce8fcd28caa",
   "metadata": {},
   "source": [
    "#### Plot our data with the default `edgecolors` argument\n",
    "Notice how our pattern shows up again - we get the Moiré Pattern..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9d1ddc56-ae26-4caa-b7cc-dccf00516b45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolormesh(\n",
    "    lons,\n",
    "    lats,\n",
    "    velocity,\n",
    "    alpha=0.8,\n",
    ");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5ad035a-1d42-4714-8017-5247d223f8b8",
   "metadata": {},
   "source": [
    "When we try passing in `edgecolors='face'` instead, it goes away!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2a61637c-0705-455f-bb12-60c6454c8215",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pcolormesh(lons, lats, velocity, alpha=0.8, edgecolors=\"face\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58a0be6d-636e-40e5-8e14-8b3220bdf483",
   "metadata": {},
   "source": [
    "## Plotting up our Solution\n",
    "We found the issue! 😁 \n",
    "\n",
    "Let's plot up the original figure, with features, colorbars, and all!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4429d85b-468b-47ab-bc85-cebff6bb3619",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmAAAAHSCAYAAABLgXczAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOxdeXwU5f1+ZmbPXCQQcnCLCsqlcggoCp71+FVRW/ECPPCuR7W1Kli0xWq9qrZaRa2i4kVrRauioPEWQRQUEFAJZ0LuO3vOvL8/Zt933nd2dpNAkk3C+3w+88nu7DvvtZudZ7/H81UAEEhISEhISEhISHQa1FRPQEJCQkJCQkJif4MkYBISEhISEhISnQxJwCQkJCQkJCQkOhmSgElISEhISEhIdDIkAZOQkJCQkJCQ6GRIAiYhISEhISEh0cmQBEyi0zF79mwQQnDggQcK58ePH4+qqip888036NOnDwCguLgYhBDH44YbbkBubi7C4TAee+yxhONdeumlIIRg6tSpKCgoQHV1NV566aW4dmPHjkUkEsGf//znFtegKAq+/fZb3HTTTXHrcjpqamri2g0ePLjFcex49tlnUVxc3ObrWoMtW7aAEIJf/vKXjq8XFRWhqKhor/ufOnVqwv257LLL9rrfzkRRUZEw7+bmZvzwww+YN28ePB5PSuf2zTff4He/+11K5yAhIdE2EHnIozOP2bNnE0IIOfDAA9m5yZMnk9raWrJy5UqSnZ3NzhcXF5N3332XTJw4Me7Iz88nAMjSpUtJZWUlcbvdjuN99NFHpLi4mD2/7LLLCCGE/PKXv2TnXC4XWbt2LdmwYQPxeDwtrmHmzJmkrKyM+P3+uHWdc845cXMdN25cXLvBgwe3ee+GDh1KDj/88HZ/T4466ihC8e9//9uxzaGHHkoOPfTQvR5j6tSphBBCfvOb38TtT25ubso/l605ioqKyNq1a9m8jzvuODJ//nwSiUTIo48+mtK5TZ8+nVRXV5OcnJyU75M85CGPVh0pn4A89rPDTsCOPfZYUl9fTz799FOSmZkptC0uLiYvvPBC0v7OPvtsQggh06dPj3tt8ODBRNd1ctdddwnnV6xYQXbt2kWysrIIAHLHHXeQaDRKJk2a1Ko1rFu3jtx3331J19XS+veGgHXU8eSTT5JwOEyWLVtGgsHgXt/Ek5FXSsBOOOGEdp+/qqpE07QO36eioiLy6aefxp1/4YUXyJ49e1L6HqqqSkpKSsjvf//7lM5DHvKQR+sO6YKUSClOPPFEvPvuu1i9ejV+8YtfoKGhoc19vPXWW6iqqsLMmTPjXps5cyZUVcXzzz8vnL/88suRnZ2NBx98ECNGjMDcuXPx97//HStXrmxxvCOPPBJjxoxxdGPuLfx+Px5//HFUVlaivr4er7/+OiZPngxCCGbPns3a2V2QgwcPBiEEV1xxBe666y6UlJSgpqYGb775Jvr379+qsb1eL84991y8//77uP/+++H1enHeeefFtbO7IKlL8ayzzsLChQtRXl6OsrKyfdgFEzfeeCM2bdqEUCiEkpIS/P3vf0dmZqbQhhCCBQsW4A9/+AO2bt2KcDiM0aNHAwCOPfZYvP/++6itrUVjYyPWrl2LSy+9VLh+zpw5WLt2LQKBACoqKvD0008jJydnr+dcX18Pt9stnJsxYwY++OADlJeXo6GhAd988w1mzZoVd+3111+PjRs3orm5GdXV1Vi9ejWmT58utDnrrLPw5ZdfoqmpCTU1NXjttdcwcOBAoY1hGFiyZAnmzJmz1+uQkJDoPEgCJpEynH766XjrrbfwySef4PTTT0dzc7NjO0VRoGla3EERiUTwyiuv4PTTT4+7iV500UX4/PPP8fPPPwvni4uLcccdd2DOnDl46623UFJSgrlz57Zq3qeccgrq6+uxbt06x9ed5qooStI+Fy5ciEsvvRQPPPAAzj77bGzevBmLFy9u1XwA4LbbbsNBBx2ESy+9FDfccAMmT57c6uunT5+O7OxsPP/88/jwww+xc+dOgfS1hL///e9QFAUzZ87ExRdf3GJ7VVWFvVFV62vo7rvvxt/+9jcsX74cv/zlL3Hffffh4osvxttvvx23hxdffDFOP/10/O53v8Ppp5+OkpISnHHGGfjggw/g8Xhw5ZVX4swzz8S//vUvId7unnvuweOPP44VK1bgjDPOwO9//3uccsopePfdd4W5JAOde2ZmJk4//XRceOGFePXVV4U2Q4cOxb///W9ceOGFmD59Ot566y08/fTTuPLKK1mbCy64AA8++CBefvllnHbaabjwwgvx73//G71792ZtrrzySrz++uvYuHEjfvWrX+HKK6/EqFGj8PHHHyMjI0MY85NPPsGwYcNwwAEHtGodEhISqUXKzXDy2L8O6oIjhJAff/wxqduquLiYJAIfVzVhwgRCCCFXXXUVOzdx4kRCCCGXX365Y9+KopCdO3cSQgj5v//7v1bP/5133iGfffZZ0nXZ8dZbb8W1oy7IYcOGEV3X41xHjzzyCCGEkNmzZ7Nzzz77rBDPNnjwYEIIIR999JFw7c0330wIIaSwsLBV66mpqSFer5cAIH/5y18IIYQMHz5caFdUVESKiorYc+pSfP3111u1b7S9HTt37iQASE5ODgkEAuTZZ58VrrvwwgsJIWLMHiGE7N69m/h8vrjPy+rVq4miKI5zGDx4MIlGo+SOO+4QztMYuDPPPDPpGoqKihzXsHTpUrZ/iT5rmqaRhQsXkrVr17Lzf//738maNWsSXpeenk5qa2vJM888E7eOUChEbrjhBuH80KFDCSGEnH/++e36PysPecij/Q9pAZNIGf73v//hoIMOwm233Za03TvvvIPx48fHHRs3bmRtVq9ejY0bNwpuyFmzZiEYDOK1115z7Hf69OkYMGAADMPACSec0Op59+vXDxUVFQlfnz59etxcb7zxxoTtJ06cCFVVsWTJEuH8v//971bP6e233xaef//99wCAQYMGJb2uoKAAJ510EpYsWYJQKAQAWLRoEQA4usuc8N///rfV8wSAa665Rtib0047DQAwadIk+Hw+vPjii0L7V155BZFIBFOnThXOL1u2DMFgkD0fPnw4hgwZgqeffhqEEMexTzrpJGiahsWLFwtWuK+++gp1dXU49thjW5z/2rVr2dyPPvpoXHXVVTjyyCPj3r+DDjoIL730Enbt2oVIJIJoNIrLL78cw4cPZ21Wr16Nww8/HI8++ihOOOEE+P1+oY/JkyejV69ecfPdtWsXNm3aFDdf+rns169fi+uQkJBILVypnoDE/ovf/va32LNnD+68804Eg0H89a9/dWxXXV2NNWvWtNjf888/j3vvvRcHHnggduzYgRkzZmDp0qWoq6uLa5udnY3HHnsM77zzDlatWoU77rgDL730ElavXt3iOD6fj5EVJ6xfvz7O5ZkMhYWFAIDy8nLhfFviqaqrq4XndH4+ny/pdRdddBFcLheWLl2KXr16AQD27NmDb7/9FjNnzsS8efMSkhmK0tLSVs8TMOUunN5P6naz96frOqqqqgS3nFM7Kl2ya9euhGPn5eUBQML3h/aRDI2NjcL8v/jiC1RVVWHJkiU45ZRTsGzZMqSnp2P58uVobm7Grbfeip9//hnhcBhXX321ILnx/PPPw+fz4bLLLsM111yDSCSCd955BzfddBO2b9/O5vvBBx84zoWXNwGAQCAAAHFETkJCoutBEjCJlIHEgse9Xi/uvfdeBINBPPLII3vd3wsvvIC7774bM2fOxNq1a9GnTx9mzbHjoYceQkZGBq666irs2bMHv/71r/H0009j3LhxiEajScepqqrap4BtOyiRyMvLw7Zt29j5/Pz8dhsjEaiV63//+5/j68cff3zCmz9FSwSttaAksqCgQLBuapqGPn36oKqqKum4lZWVAJA0+YD2cdJJJ8WRF/71tmLDhg0AgDFjxmDZsmWYPHkyhgwZgilTpuDzzz9n7Vyu+K/chQsXYuHChcjOzsbJJ5+MBx98EK+++iomTZrE5jN79mw2Bg970golqXQvJCQkui4kAZNIKQghuPjii+HxePDwww8jGAziySef3Ku+SkpK8MEHH+Ciiy7CmDFjsGfPHrz//vtx7U488URccskl+M1vfoOdO3cCMLPiPvvsM9x6661YsGBB0nGcXD/7gq+++gqGYeDXv/417r//fnb+17/+dbuN4YSxY8di9OjReOKJJ/DKK68Ir3k8Hrz55puYNWtWiwSsvbBy5UoEg0Gcd955+PDDD9n5GTNmwO124+OPP056/ZYtW1BcXIw5c+Zg4cKFjm2WL18OXdcxaNAgrFixot3mPmbMGACWCzAtLQ2AmSBCkZ2djTPPPDNhH7W1tXjttdcwceJEFqj/xRdfoL6+HgcddFBcJq8TaPD95s2b924hEhISnQZJwCRSDsMwcOGFF8Lr9eLxxx9HKBTCc889x17Pzc3FxIkT467bs2cPtm/fLpxbtGgRFi9ejAMOOAB/+9vfoOu68HpaWhoWLlyIzz//HI8//jg7v3LlSjz++OOYO3culixZkvQG9sknn+DSSy9F796941x/AHD44YcjNzc37vzXX38dNx/AJA4vvfQS/vznP0NVVaxZswbHH388U6Q3DCPhXPYFs2fPhmEY+Otf/ypY3ijeeOMNnH322bjmmmvQ1NTUIXPgUVNTg4ceegi33347mpqa8M477+DQQw/FggUL8Omnn8bFuTnhxhtvxOuvv44PP/wQTzzxBCoqKnDooYciLy8Pd955J7Zu3Yq//vWv+Mc//oHhw4fj448/RjAYxMCBA3HSSSfh6aefxkcffZR0jMzMTPZ59Hg8GDNmDO644w7s2rULr7/+OgCTONXV1eGxxx7D/PnzkZ6ejnnz5qGyshLZ2dmsryeffBINDQ348ssvUV5ejmHDhmHmzJnsh0NDQwN+//vf47HHHkPfvn3x7rvvoq6uDv3798fUqVPx0Ucf4eWXX2b9TZw4EeFwuFVyKhISEqlHyjMB5LF/HYkES91uN3n77bdJNBplWVzJsiD//ve/x/Xt8/lIbW0tIYSQMWPGxL3+8MMPk2AwSA455JC419LT08m2bdvIJ598knT+2dnZpLm5mcyaNctxXYnQp08foR0vxOr3+8njjz9OqqqqSENDA1m6dCk57bTTCCGEnHHGGaxdoizIyy67TJgLzTicOnWq4xpcLhcpLy8nK1asSLjOE088kRBiZWEmyoJsrbBqa9vfeOONZNOmTSQUCpGSkhLyj3/8I06glxBC/vznPztef9xxx5EPP/yQNDQ0kIaGBrJ27Vpy8cUXC20uuugi8uWXX5LGxkbS0NBANm7cSP7+97+T/v37J52bPQsyFAqRn376iTzxxBNx1x533HHkm2++Ic3NzeSnn34i1113HZk/fz4hpu+UACCzZs0iRUVFpKysjASDQbJ161by0EMPxa331FNPJR9++CGpq6sjzc3N5McffyTPPPNMXGWC999/nyxZsiTl/+PykIc8WnWkfALykEe3O5599lmyfPnyDh3jd7/7HdF1nQwcODDl65VH1z8KCwtJJBIhxx9/fMrnIg95yKPlQ4k9kJCQaAOGDBmCH374AVOmTGlVhmZLOP300zFq1CisXbsWhmHgmGOOwe9+9zssXboU559/fjvMWKKn46GHHsJhhx3WJkkVCQmJ1EHGgElI7AW2bduGiy++mMkE7CsaGhowffp03HrrrUhPT8fu3bvx6KOPYv78+e3Sv0TPR2lpacLkAwkJia4HaQGTkJCQkJCQkOhkSCV8CQkJCQkJCYlOhiRgEhISEhISEhKdDEnAJLoUsrOz8dRTT6GiogKNjY1Yvnw5Ro0a1apri4uLQQiJO5KJX1IUFRWx9tFoFNXV1fj222/x6KOPYsSIEfu6rC4Pfr90XUdFRQXeeOONdl97UVERioqK2POpU6eCEBJX57E1KC4uxrPPPpvw9RtvvBGEEEyYMCFhm08++QRbt25t9ZjPPvssiouL2zTPve178ODBmD9/PhNXlZCQ6FmQBEyiS+HNN9/EKaecguuuuw7nnHMO3G43ioqKkpaX4bFs2TJMmjRJOFpSUKdYt24dJk2ahKOPPhozZszA888/j+OOOw5r167F1VdfvS/L6hZ49tlnMWnSJBx77LH44x//iKOOOgrLli1jNSI7At988w0mTZqEb775pt37Xrx4MSKRiFCgnceQIUNw9NFHt0phvjPw5z//GWeddRZ7PmTIENx5550YOnRoCmclISHRkUi5FoY85AGAnHHGGYQQQqZNm8bOZWVlkaqqKvLII4+0eH1xcTF54YUX9mrsoqIi8umnn8add7lcZMmSJSQajZLx48d36n54PJ5OG8tJ2PSCCy4ghBAyY8aMdhvHLua6L0dxcTF59tlnk7Z58803SXl5OXG5XHGv/fGPfySEEDJ06NBWj2kXwu3Io61Ct/KQhzy61yEtYBJdBmeccQZ2794tlIKpr6/HW2+91So3YkcgGo3immuuQTQaxfXXXy+8NmbMGCxduhTV1dVobm7GZ599hilTpsT1cf3116O4uBiBQABfffUVJk+eHOc+mz17NgghOOaYY/Daa6+hpqYGX331FQCzGPWtt96KH374AcFgELt378YDDzwAr9crjOP3+3Hvvfdi69atCIVC2Lp1K26//XYoirJXa6dWqUGDBrFzubm5eOKJJ7B582Y0NTVhx44dWLx4Mfr16xd3/YwZM9ic169fj+nTp8e1cXJBnnTSSXj77bdRUlKCpqYmfP/997jpppugqm3/ulq0aBH69u2LU089Ne61iy66CJ999hlzQbb2/bSjoKAAixYtQkVFBYLBINatW4cLL7wwrt2QIUPw/PPPo7S0FMFgED///DMefvhh9jrvgqRlhgBgxYoVzD08depUvPXWW47ac0OGDIGu67jiiitaszUSEhIphiRgEl0GI0eOxPr16+POb9iwAYMHD0Z6enqLffzyl79EU1MTgsEgvvzyy3YhbhUVFfj6669x9NFHs3NHHHEEvvjiC/Tu3RuXX345zjnnHFRVVWHFihUYO3Ysa3fZZZfhkUcewYoVK3DmmWfiueeew0svvSTUA+SxePFiFBcX41e/+hVuvfVWAMCLL76IefPm4aWXXsLpp5+Oe+65B5dddhkWL17MrtM0De+99x7mzJmDRx55BKeeeiqefvpp3HHHHUKB77ZgyJAhAICff/6ZnevduzeCwSBuu+02nHLKKfj973+Pgw8+GJ9//rlACE844QS89NJL+PHHH3H22Wfj/vvvxyOPPILhw4e3OO7QoUPxwQcf4NJLL8Xpp5+ORYsW4c4778Tdd9/d5jW89dZbqK6ujnNDTp48GQcffDAWLVoEoPXvpx1paWn4+OOPceqpp+L222/H9OnT8f333+PFF1/E5ZdfztoNGTIEq1atwrHHHov58+fj1FNPxV133eVYMxQwye8111wDALjuuuuYO/2bb77B448/jrFjx8bFtl1xxRVoamrCSy+91OZ9kpCQSA1SboaThzwAkM2bN5OXX3457vxll11GCCFkwIABSa9/9NFHycyZM8mUKVPIOeecw+r2XXjhhS2OncgFSY+XXnqJNDc3s+crVqwgGzduJG63m51TVZVs3LiR/Pe//yUAiKIoZMeOHeTtt98W+jrrrLMIIURwn9H6kA899JDQdsqUKYQQQmbOnCmcp+7Bww47jABmbUNCCDnmmGOEdrfffjsJhUKkb9++SddPCCELFiwgmqYRj8dDxo8fT77//nvyxRdfOLrv+DUPGDCAEELI9OnT2fnPPvuMbNiwgSiKws4deeSRhBDiWE8yUc1KAETTNHL77beT6upqob/WuCABkMcee4wEAgHSq1cvdu6f//wnaW5uJllZWa1+P4F4F+S1117rOP/ly5eTsrIyoqoqAUAWLVpEGhoaSGFhYcJ52vtO5IJUFIX89NNP5Omnn2bnXC4XKS0tJf/85z877P9THvKQR/se0gIm0WWgKArMOsXx51uD66+/Hi+88AI+++wz/Oc//8EJJ5yA1atX45577mnXufl8PkydOhVLliyBYRjQNA2apkFRFKxYsQLHHnssAGDAgAEYOHAglixZIvS1dOlSRCIRx3H++9//Cs9POeUUhEIh/Oc//2HjaJqG999/HwDYWKeccgq2bduGL774Iq6dx+PBpEmTWlzj3LlzEY1GEQqFsHr1aqSnp+OMM85ANBoV2l111VVYu3YtGhoaoOs6du7cCQDMuqWqKiZMmIB///vfwvu5atWqVmUQFhQU4IknnsC2bdsQDocRjUZx9913IycnZ68qDyxatAg+nw/nnnsuAMDj8eDcc8/F0qVLUV9f3+r30wnHHnssdu3aFZfo8eKLLyIvL49lkZ588sn43//+h9LS0jbP3w5CCJ588kmcd955yMrKAgBMnz4dBQUFePLJJ/e5fwkJic6BJGASXQbV1dXo3bt33PmcnBwAQE1NTZv6MwwDS5YswcCBA1FQULBPcxs4cCC7efbu3Rsulwt//OMfEY1GheO6665D7969oSgKCgsLAQDl5eVx86qsrHQcx36DzsvLg9frRVNTkzBORUUFAKBPnz6s3ZAhQ+Lms3r1aqFdMjzzzDMYP348pkyZgvnz52PQoEF45ZVXhDa/+c1v8M9//hMrVqzA2WefjQkTJmDixIkATGIKmHFiHo8HZWVlcWM4neOhKArefPNN/N///R8WLFiA448/HuPHj8eCBQuEMdqCVatW4YcffsCsWbMAmG7q3r17M/dja99PJ/Tu3duRVO3Zs4e9Dpj7v2vXrjbPPRGeeeYZqKrKXKtXXXUVvvrqK6xdu7bdxpCQkOhYyFqQEl0GGzZswMknnxx3fsSIEdi+fTuampra3Ce9cTpZ1lqLvn37Yvz48YyM1NbWQtd1PPbYYwklDAgh7MZst9qoqpow9sc+z6qqKgQCARxzzDGO7UtKSli7rVu3MiuPHdu2bXNeHIfS0lIW3P35559DURTceeed+NWvfoV///vfAIDzzjsPK1aswO9+9zt2HY0Vo6isrEQ4HEZ+fn7cGPn5+di+fXvCORx44IGYMGECLrroIiHG7Ze//GWL80+G559/Hvfccw8OOOAAzJw5E6WlpcyK2Nr30wnV1dWOcW2U8FdVVQEw96S1UiqtQXV1NZYsWYIrr7wS7733Ho477jjMmTOn3fqXkJDoHKTcDyoPeQAgZ555JiGEkGOPPZady8zMJJWVleTRRx9tc3+appHVq1eTbdu2tdi2NTIUY8eOFdp/9NFHQkyS/UgUA3b22WcnjAE78MADhbY0Duj4449POv/Zs2eTcDhMhg8fvld77yRD4fP5yK5du8j333/Pzn3zzTfknXfeEdrdddddhBBC5s+fz87tbQzYmDFjCCGEnHvuucJ78OOPPxJCCBk8eDA739oYMACkf//+JBqNkkceeYSEQiFy//33x73/Lb2fQHyc1jXXXEMIIeSoo44S2r333ntkz549LAbsueeeI/X19aSgoKDVfU+aNIkQQsj//d//ObafOHEiIYSQjz76iNTU1BC/379X77085CGPlB0pn4A85EEAk7B8/vnnZMeOHWTGjBnk5JNPJkVFRaSqqiouAD8SiQhByOeddx55+eWXycyZM8m0adPIjBkzyCeffNJqHauioiKydu1aMnHiRDJx4kRy4oknkt/+9rfku+++I6FQiFxxxRVC+yOOOII0NDSQ999/n8yYMYMce+yx5OyzzyYLFiwg99xzD2tHEwieeuopcvLJJ5OrrrqKbNu2jdTU1JBnnnmGtUtEwACQxYsXk+rqajJv3jxy8sknkxNPPJHMmTOHvP766+Tggw8mgElSPvroI7Jr1y7y29/+lhx//PHklFNOIddeey157733Wrw5OxEwwCIYZ599NgFA/vKXvxBd18ltt91GTjjhBHL33XeTzZs3xxGwE044gei6TpYuXUpOO+00Mnv2bLJt2zZSUlKSlIC53W5SXFxMfvzxR3LOOeeQM844gxQVFe0zAQNA3n//faLrOiGEkFGjRu3V+2knSWlpaWTz5s1kz5495LLLLiO/+MUvyPPPP08IIeTyyy9n7QYPHkwqKirI1q1byZw5c8i0adPIhRdeKOjW2fvu3bs3CYfD5PXXXydHHXUUGTduHMnIyBDm/fXXXxNCSKt08uQhD3l0uSPlE5CHPNiRk5NDnnnmGVJVVUWamprIihUryJgxY+La2S1IEydOJB988AHZs2cPCYfDpLa2lixfvpycfPLJrRqXZkwSQoiu66S2tpZ8++235NFHHyUjRoxwvOaQQw4hL7/8MikrKyPBYJDs3LmTLF26lJx66qlCuxtuuIFs27aNBAIBsnr1anL00UeT6upqIeMxGQFTFIVcf/31ZO3atSQQCJDa2lqydu1a8te//pVl8QEgXq+XzJ8/n/zwww8kGAySqqoqsmrVKjJ//nyiaVrS9SciYJQQffPNNwQwrWKPP/44KS8vJ/X19eStt94iQ4YMiSNggEmKN23aRILBIFm/fj2ZPn16nBCrUxbkYYcdRj799FPS1NREdu7cSe666y5GZPeFgF144YWEEMLWsjfvp5MQa0FBAXn++edJRUUFCQaDZN26dY6Zt0OHDiUvvfQSa/fzzz8LnwGnvq+44gry888/k0gk4phteeuttxJCSMLPqDzkIY+ueyixBxISEp2E8ePHY/Xq1Zg5cyZefPHFVE9Hohvjs88+g2EYSTM1JSQkuiZkEL6ERAdiyJAhuPbaa/Hpp5+ivr4ehx56KG6//XZs3boV//nPf1I9PYluCI/Hg7Fjx+LEE0/E0UcfjTPOOCPVU5KQkNhLpNwMJw959NQjPz+fvPvuu6SsrIyEw2FSVlZGFi9eTAYOHJjyucmjex6DBw8mhBBSXV1NFixYkPL5yEMe8ti7Q7ogJSQkJCQkJCQ6GVKIVUJCQkJCQkKikyEJmESPwvHHH48XXngBP/30E5qbm/HTTz/h8ccfR9++fePaer1e3HfffSgpKUFzczO++OILR8HT3/72t3jzzTdRUlICQgjmz5/vOLbf78edd96JzZs3o7m5GTt27MCiRYswePDgVs29teMAwJw5c/DDDz8gGAxi06ZNuPLKK1s1RnuOM3v2bBBCWjxo/7NmzcK///1vbNu2DYQQPPvssy3O9YADDkBTUxMIITjwwANbbD948OCE8+jVq5fQduDAgXjuueeYyO/mzZvx5z//GWlpaS2OM3/+fMcx7KWkiouLE87nn//8J2vXmn1s7edIQkKie0AG4Uv0KFx11VXIyMjAggULsHXrVhx88MG466678Itf/AJjxowR1PSfeeYZnH766fj973+PrVu34tprr8V7772HyZMnY926dazd5Zdfjvr6erzxxhu4+uqrE4799NNPY/r06Zg/fz6+/vprDBo0CHfddRc++OADHHbYYS0q+bd2nDlz5uDJJ5/EPffcgxUrVuCEE07A448/DkVR8MQTT7S4R+01zttvvy3UmBw7diwef/xxXHfddawEEgBWgueiiy5C3759sXz5cvz6179ucZ4A8Pjjj6Ourq5VpIjHX/7yF7z55pvCuYaGBvY4LS0NK1asgNvtxh133IEdO3ZgwoQJuOuuu3DwwQfjvPPOa9U4Rx99NHRdZ8+rq6uF18866yx4vV7h3Nlnn41bbrlFmF+iWp2DBg3C4sWLsW7dOlb1QEJCoucg5YFo8pBHex25ublx54455hhCCCGXXHIJO0cV1y+++GJ2TtM0smnTJrJ06VLheqqOrmmao94VYOpjRSIRcvfddwvnf/GLXxBCSKv0yFozjqZppKysjDz33HPC+WeeeYZUVFQQl8uVsnGoptcJJ5yQdFwAZOfOnS1qeJ1//vlkz5495IYbbkiokWY/aID6ZZddlrTdSSedRAgh5KSTThLO33PPPSQSibQoXDt//nxCCGlRX83pWLFiBSkpKWEq+YkOt9tNVq5cSaqrq8mQIUP26f9CHvKQR9c7pAtSokfBqcg1tcbwtfjOOOMMhMNhvPrqq+ycrut45ZVX8Itf/AIej4edJ62oI+lyueByuVBfXy+cr62tBWDWf2wJrRln8uTJyMvLi9MPe+GFF5Cbm4spU6Z0mXH2ZlyK7OxsPPTQQ/jd737H9rA9Qd9fp/dLVdWExbf3FQMHDsRxxx2HxYsXwzCMpG0feughTJw4EZdcckmranlKSEh0L0gCJtHjMXXqVADADz/8wM6NHDkSxcXFCAQCQtsNGzbA6/XioIMOatMYjY2NeP7553H99ddj2rRpSE9Px4gRI3D//fdj7dq1+OCDD/Z9IbF5A8D69evj5g2Yhcu70ziJcN9992HTpk1JhWppDBp9f3ncc889iEQiqK2txdKlSzFq1Cjh9RUrVmDLli3461//ikMPPRTp6ek47rjjcMMNN+CJJ55Ac3Mza1tUVITi4mLHOezcuRPRaBTbtm3DvffeC5/Pl3RdM2fOhKqqWLRoUdJ2M2bMwG9+8xs88MADWLp0adK2EhIS3RMyBkyiRyMjIwMPP/wwNm7ciDfeeIOd7927N2pqauLa0xie3r17t3msSy65BI8++iiKiorYuZUrV+Kkk05CJBJp++QdQOdln/u+zDuV4zjh6KOPxqxZs3DEEUckbWcYBqLRqGBZC4VCeOKJJ/D++++joqIChxxyCG6//XZ88cUXOPLII7Fp0ybWbsqUKfjPf/6DjRs3suufeuop/OY3vxHG0XUd0WhUOPfTTz/hD3/4A7799lsQQnDyySfjt7/9LcaOHYuTTz454ZxnzpyJb775Jo7Y8jjkkEPw1FNP4fPPP8ett96adA8kJCS6LyQBk+ix0DQNL7/8Mvr37x8XLK0oiqNLbF9cTwsWLMBFF12Em2++GatXr8agQYMwf/58vPvuu5g6dSqam5uhKIrgjjQMo02uOTq/lq7prHHaG263G08++ST+9re/CRZLJ7zwwgt44YUXhHN79uwREgs+++wzLFu2DBs2bMDcuXMxc+ZMAGYG7Kuvvoq8vDxcdNFF2LFjB4488kj88Y9/RDQaxTXXXMP6OPHEE+PGXrx4sfB8xYoV2LVrFx555BGccMIJjhbPiRMn4pBDDsH111+fcE1paWn4z3/+g2AwiBkzZgifWQkJiZ4F6YKU6JFQFAWLFi3CiSeeiOnTp+P7778XXq+urna04uTk5LDX24IRI0bgtttuw0033YSHHnoIn376KRYvXozTTjsN48ePx5w5cwAA//rXvxCNRtnxr3/9q03jJLJA0ef09c4ap71x4403onfv3nj00UfRq1cv9OrVi2VAZmZmIiMjo8197tq1C5999hkmTJjAzl122WU47rjjcNppp2Hx4sX49NNP8eCDD+Lmm2/G1VdfjTFjxrR5nJdffhkAhHF4zJo1C+FwmLVzwsKFC3HIIYfgoosuwu7du9s8BwkJie4DaQGT6JF44oknMGPGDPzqV7/Chx9+GPf6hg0bcNZZZ8Hv9wtxYCNGjEAoFMJPP/3UpvFGjx4NAIL8AmC6qmpqanDooYcCAO6880784x//YK87JQ0kA43BGjlyJPbs2SPMGwBzp3XWOO2NESNGoLCw0FFy4dtvv8XatWtbdE06wW7xHD16NKqrq7F161ah3apVqwAAhx56KL777rs2jwM4Ww09Hg9mzJiBd955J+F7cc011+DCCy/En//8Z7z//vt7NbaEhET3QspTMeUhj/Y8HnjgAaLrOrnooosStjnssMMIIYTMmjWLndM0jWzcuJG8+eabjtckk22gEgx2+YODDz6YEELIvHnzWj3/ZOO4XC5SXl5O/vWvfwnnn3rqKVJZWUncbnfKxmlJhoI/EslQDB8+nEydOlU47rnnHkIIIRdccAEZN25cmz8PAwcOJHV1dYKkBpWRsEtbXH755YQQQqZMmdLmcW688UZCCCHTpk2Le+2cc84hhBAyffp0x2vHjx9PgsEgWbFiRYvyFPKQhzx6xiEtYBI9CrfccgtuvvlmPPPMM/jxxx8xceJE9lpFRQWzeKxbtw6vvPIKHn74YbjdbhQXF+Pqq6/GAQccgAsvvFDoc9y4cRgyZAiLqRoxYgTOOeccAMA777yDQCCATz/9FGvXrsWDDz6InJwcJsQ6b9481NbWtpj11tpxotEo7rjjDjz++OPYvXs3VqxYgeOPPx6XXnoprrvuulYF+3fWOHYceuihzILm9/sxePBgNu7HH3+MyspKbN68GZs3bxauGzJkCADgq6++ws8//8zOz5w5E//6179wwgkn4JNPPgEAPPDAA1BVFV9++SUqKiowfPhw3HbbbTAMA3/5y1/Ytc899xxuuukmvPPOO7j77ruxY8cOjB8/HnfccQe+/vprfP7556ztihUrMHjwYBx88MHs3DfffIPnn38emzdvBiEEJ510Eq677jq8++67+Oijj+LWPmvWLFRWVuLtt9+Oey07OxtLliwBIQSPPvpoQhfmxo0bBTFZCQmJ7o+Us0B5yKO9jqKiIpIIdouLz+cjDz74ICktLSWBQICsXLmSTJ06Na7PZ599NmGfgwcPZu169+5NHnjgAbJlyxbS3NxMduzYQV555RUybNiwVs29teMAIFdccQXZvHkzCQaDZMuWLeTqq69u9R511DgtWcCo1ckJTvtOj9mzZxNC4q1V9Dx/7SWXXEJWrVpFqqurSSQSIaWlpWTx4sWO78Ghhx5KXn31VbJjxw7S3NxMNm/eTO6//36SnZ0d95kqLi4Wzr388svkp59+Ik1NTSQYDJINGzaQefPmEY/HEzdObm4uCYfD5NFHH026by0h2R7JQx7y6H6HEnsgISEhISEhISHRSZBZkBISEhISEhIpwTHHHIOlS5di165dIIRg9uzZcW3mz5+P3bt3o7m5GUVFRXFC0B6PB48++igqKirQ2NiIpUuXCpVPuiokAZOQkJCQkJBICTIyMrB+/XrccMMNQgUKChrXe91112HChAkoLy/H8uXLBUmahx9+GOeccw7OP/98HHPMMcjKysL//ve/VpWASzVS7geVhzzkIQ95yEMe+/fR0NBAZs+eLZwrKSkht99+O3vu8/lIfX09ueKKKwgAkpWVRUKhELngggtYmwEDBhBd18nJJ5+c8jUlO7o+PZSQkJCQkJDY73DAAQegsLBQ0MULBoP45JNPcNRRRwEws7o9Ho/QZteuXfjhhx9Ym66Kbi9D8e677yI3NzfV02gXjBs3DoqiYMOGDXFFoiUkJPYehx12GNxuN0pLS6XCvES3Q2VlJU499dROGWvl+yvQq0+fdukr6nEhGAyy5wsXLsRTTz3V6usLCgoAAGVlZcL5srIyFuNVUFCAaDQaJ3BcVlbGru+q6PYELDc3N6FuTndCv379sHv3bhBCMGrUqFRPR0KiR2HNmjUYO3Ys1q1b12k3MgmJ9oK9wkZHolefPrh8ygnt0tffPnmvXe7PxFZdIlEt37a2STV6jAuysLAQhYWFqZ7GXmPKlCkAgHA43O59d/e96SjIfUmMnrY369atAwBWEmpf0NP2pr0g9yUxutPeKAA0RWmXY19By6DZLVl5eXnMKrZnzx64XK44TxjfpquixxCw4cOHY/jw4amexl5j7NixAICampp277u7701HQe5LYvS0vXnnnXcAoF1ugj1tb9oLcl8So7vtjQqlXY59RXFxMUpLS3HSSSexc16vF8cccwy++OILAKZ1OxwOC2369++PQw89lLXpquj2LsieAqprUlpamuKZSEj0PLz55psghMDj8WDw4MHYvn17qqckISEBID09HQcddBAAQFVVDBo0CIcddhiqq6uxc+dOPPzww5g7dy42bdqELVu2YN68eWhsbMRLL70EAKivr8czzzyD+++/H+Xl5aiqqsJDDz2E7777DitWrEjl0lpEj7GAdXcccMABAEzGLyEh0b4Ih8OsjuKMGTNSPBsJia4L0wWptsvRGowfPx5r167F2rVrkZaWhj/96U9Yu3Yt/vSnPwEA7rvvPjz00EN47LHH8PXXX6OwsBAnn3wyGhsbWR+//e1v8frrr+PVV1/F559/jsbGRvzyl7+EYRgdsUXtBknAugjy8/MBAOvXr0/xTCQkeiZoIfbjjjsuxTORkOjKaB/3Y2tdkB9//DEURYk7LrnkEtbmrrvuQr9+/eD3+zFt2jRs2LBB6CMUCuH6669Hbm4u0tPTccYZZ2DXrl3tuisdAUnAugh69eoFAPj6669TPBMJiZ6JVatWAQBGjhyZ4plISEhISALWJeByueB2uwEAX375ZYpnIyHRM7Fs2TIA8RlVEhISFrpSFmRPhyRgXQBHHHEEFEWBrutxYnISEhLtg7fffhuEELjdbgwePDjV05GQ6LLoKlmQPR09Jgvyo48+SvUU9hqTJk0CADQ1NXVI/915bzoScl8SoyfuTTgcRmNjIzIzM3Huuefi/vvv36t+euLetAfkviSG3BsJJ0gLWBfAYYcdBgCoqqpK8UwkJHo2aCD+8ccfn+KZSEh0TXR2FuT+DLlDXQDDhg0DAOzcuTPFM5GQ6NmgMZajR49O8UwkJLoqFGjtdEgkR4sE7JprrsG6detQV1eHuro6fPHFFzjttNPY63/605/www8/oLGxEdXV1VixYgUmT54s9HHQQQfho48+wu7du/G3v/0NChecV1RUBEIILrzwQuGa2bNnM92e1mDcuHEYN25cq9t3JQwYMAAAsGXLlg7pvzvvTUdC7kti9NS9Wbp0KQBL9mVv0FP3Zl8h9yUx5N5IOKFFArZr1y784Q9/wNixYzF+/Hh8+OGHeOONN9gvyM2bN+Paa6/F6NGjMWXKFBQXF2PZsmXIy8tjfTz22GNYsmQJTj31VAwfPhznnXeeMEYgEMCCBQvg8Xj2eiGZmZnIzMzc6+tTCVrDitara290573pSMh9SYyeujfvv/8+CCFwuVx7XfS+p+7NvkLuS2J0p71RIIPwOwstErA333wTy5Ytw88//4wff/wR8+bNQ0NDA7NyLV68GB9++CGKi4uxceNG3HTTTcjKysLhhx/O+sjJycGaNWuwfv16bNu2DdnZ2cIYr776Knw+H6699tp2XVx3QVpaGgBg5cqVKZ6JhETPhmEYqK2tBQD8+te/Tu1kJCS6IhQpQ9FZaFMMmKqqmDFjBjIyMhyLXLrdblxxxRWoq6vD2rVr2fm5c+finXfeQTAYxMiRI7Fo0SLhusbGRvzpT3/C3LlzmSDp/oLc3FxomgZCCL755ptUT0dCoseDuvqnTp2a4plISEjsz2iVDMWoUaPw5ZdfwufzobGxEWeddZZQMuf000/HK6+8grS0NFa5vLy8nL2+fPly5OfnIycnRzjPY+HChbjxxhtx66234rbbbmv1AjIzMzFt2jQMGTIEADBt2jT22ubNm1lx68LCwqTV6Pk04XHjxiU0F5eUlLAv8MzMzKR+/TVr1rA4tmHDhqFfv35xbYYPH46vv/4ao0ePZnWr+DXYsbdrKiwsTNhve68JABoaGrBmzRr2vCPWtK/vE/3MZGZm9pg1Uezr+9Rd/5+SrYnigw8+QCAQQFNTEwoLC+X/Uwzy/6nr/j91JqgLUqLj0SoL2ObNm3H44Ydj0qRJ+Oc//4lFixYJ5TyKiopw+OGH46ijjsKyZcvw2muvxalNRyKRhOQLAHRdx9y5c3H99dejf//+e7mc7gf6j1xXV5fimUhI7B/YvHkzAMv1LyEhIUJmQXYOFACkrRctX74c27dvx5w5cxxf37JlC55//nksWLCgxb6Kioqwfv16XHfddQDMOKj169fj008/xT/+8Y8WAxdXr16NCRMmsF8W3U3w7vXXX8dZZ52F77//HmPGjOmQMbrr3nQ05L4kRk/fG13XoaoqpkyZgs8//7xN1/b0vdlbyH1JjH3dG3qf6wz8/M06/HHame3S140fLOm0eXdH7JUSvqqq8Hq9e/16Mtxyyy344IMPUF1d3abrSkpK9mq8VIOapouLiztsjO66Nx0NuS+J0dP3prKyEnl5eTjrrLPaTMB6+t7sLeS+JEZ32htFWq86DS0SsHvuuQdvv/02du7ciczMTFxwwQWYNm0aTj/9dGRmZuKWW27BW2+9hdLSUvTt2xfXXnstBgwYgNdee22vJvTJJ59g2bJl+M1vfgNd11t9XUdpaHU0CgsLAQA//PBDh43RXfemoyH3JTF6+t788MMPyMvLw5QpU9p8bU/fm72F3JfE6G57I2PAOgctErCCggK8+OKLKCgoQF1dHb777juceuqpeP/99+H3+zFy5Ehceuml6NOnD6qqqrB69Woce+yx+P777/d6UrfeeivWrVuHQCCw1310F1BJjq+//jq1E5GQ2I9Ag5+pCLKEhIREZ6NFAnbJJZckfC0QCODss8/epwkcd9xxcec2bNgAl6tt3lEaK9YW9fyuAOqqdZL1aC90173paMh9SYyevjeUgFER5Lagp+/N3kLuS2J0p71RAOmC7CT0mFqQ3bHUw5gxY6AoCgzD6NAYge64N50BuS+J0dP3Zt68edB1HV6vt02yN0DP35u9hdyXxOhue6MqSrscEsnRYwhYdwStJtDc3JzimUhI7F9obm7Ge++9BwC4+eabUzwbCQmJ/RGSgKUQtFxTVVVVaiciIbEf4uqrrwYhBH369MG5556b6ulISHQJUBek1AHreEgClkIMGzYMgFnwXEJConOxY8cOfPvttwCAu+++O8WzkZDoGjAJWPscEskhCVgKMWjQIADATz/9lOKZSEjsn3jhhRcAAHl5eSmeiYSExP6GvRJilWgf9O3bFwD2SbJDQkJi70F/BHWH7DQJic6BApVI92FnQBKwFCI9PR2AWWZCQkKi8+HxeAAAmiYdJhISgJSh6Ez0GALGV6DvDsjKyoLL5QIhBCtXruzQsbrb3nQW5L4kxv6yNy+88AKuueYaFBQU4J///CeuvvrqFq/ZX/amrZD7khjdbW/kz5HOQY+JAWtoaOhWboSjjjoKABCNRhEOhzt0rO62N50FuS+Jsb/szVdffYW33noLAHDVVVdhyZIlLV6zv+xNWyH3JTHk3kg4occQsO4GWiG+vr4+xTORkNi/ceaZZ+J///sfAOBXv/oVbr311hTPSEIidZAyFJ2HHkPAhg0bxmQdugNGjhwJACgvL+/wsbrb3nQW5L4kxv62N+effz573FJG5P62N62F3JfE6G57o7bTIZEcPWaP+vXrh379+qV6Gq3GgQceCADYtm1bh4/V3famsyD3JTH2t71pbGxEKBQCAJx22mlJ2+5ve9NayH1JDLk3Ek7oMQSsu4H+M27atCnFM5GQkACAK664AoQQDB8+XLohJfZbSBdk50ESsBQhJycHAPDNN9+keCYSEhIA8Pzzz2PVqlUAgDPOOCPFs5GQSB2kEn7nQBKwFMHn8wEAPv/88xTPREJCguKzzz4DABxwwAEpnomEhERPhyRgKcDw4cOhKAoIISguLk71dCQkJGJ49913AQD5+flMJV9CYn+CAhmE31mQe5QCTJo0CQAQCARSPBMJCQkeH3zwAWpqaqAoCh599NFUT0dCIiWQLsjOQY9Rwu9OIndHHHEEAKCmpqZTxutOe9OZkPuSGPvz3nz88ceYPn06hgwZ4vj6/rw3ySD3JTHk3kg4occQsO5U6uGQQw4BAOzevbtTxutOe9OZkPuSGPvz3vTp0wcAoKrODoL9eW+SQe5LYnSnvTGzICU6A9IFmQIMHjwYAPDzzz+neCYSEhJ2bN68GQAwatQoVqZIQmJ/gqq0zyGRHJKApQBUafv7779P8UwkJLoOdq9dJRypwtVXX43vv/8eiqLg//7v//CLX/wiZXORkOjpKC4uBiEk7qDlwZ599tm417788ssUz7p90GNckNOmTQMAfPTRRymdR2uQmZkJAPj66687ZbzutDediZ62LxVbf2SPI41ijdF+Y8a1qa9U743qdqN0w7fx510e9ljRREdJ3kGHtMvY0WgUF1xwAfuB1LdvX+H1VO9NV4Xcl8ToTnvT2S7ICRMmQOP+lwsLC7FmzRq89tpr7Nzy5csxc+ZM9jwcDnfiDDsOPYaAdRf4fD64XK4exeIlugaMSPf7UnIiWXYYkQh7zBMwO8p/sqpK7CsZW79+Pfbs2YOCggI8++yz2LRpU6f9YJKQSDU6031YWVkpPL/ssstQX1+PJUuWsHOhUAhlZWWdN6lOgiRgnYwjjzwSiqIgGo2isbEx1dOR6EFQ3RY5iQaaUjiT1sOd3svxvBFtmUzqIUvGRfP6hdcoGePbAEDhyCNaPbeRI0eiuLgYWVlZ+PTTTzFixAip2ych0cG47LLL8OKLLwoyTVOmTEFZWRlqa2vx8ccfY+7cuaioqEjhLNsHkoB1MiZOnAgAknxJtDt4t6PLn57CmSRG+U+b2DxVtxvhemcpFkWzwlMTWb3483ailah92eYN7Hn+8JFJ21dXV+Pwww/Hxo0b4fP5sHbtWqmQL9Hj0Z4uyNzcXKxevZo9X7hwIZ566qmE7U866SQMHToUTz/9NDu3bNkyvP766yguLsaQIUOwYMECfPjhhxg3bly3d0VKAtbJGD16NACgvLw8xTOR6Amo3LaVPebJjD0+qrPAz8eVZpHAaLNpkUtm2dK8Pqs9Z8GjRCvRtUQ32LVGNJwwTozounAdJWP2fnkrWXFxMY455hh8+eWXyMrKwoYNGzBz5kxEo9GE65CQ6NZQAFUl7dJVZWUlJkyY0Or2l19+OVatWoV169axc6+++ip7vH79eqxZswbbt2/H6aefjv/+97/tMs9UQWZBdjIOOuggAMDOnTtTPBOJ7ozKbVsZ2TGiYRjRMDxZOezQQwHh4OOjOgvR5iZEm5sQqChh8yC6Dpc/HS5/OjSvH660dEbU9FCQHbSNy5/O1geYZEx1eUB0gx38tXYQXY8jXi2hdMO37ADMZJkzzzwThmGgoKAAc+bM2ZdtkZCQcEDfvn1x5plnJrWQAUBpaSl27dqFgw8+uJNm1nGQFrBOxoABAwAAmzZ1/g1RomeCEgxdDzCLj+b1w5OV0+lz4V2BlBApmspitCJNdVZjzojEW7948NYpohvQdbNPYlikSnW7Ha9JFrBP94noutDObg3jkwQuv/xyPP3008jPz8eUKVO6RUabhERboSA1Gl4XX3wxQqEQXnnllaTt+vTpg/79+6O0tLSTZtZx6DEEjIondnX07t0bALB27dpOG7O77E1nozvvi510OCFQUbLX/bdlb3i3Iw9KcvRQgBEvPli+tXFbFAYscsTHiCUCT6ZUiGSMt4rReUabmwQiyF/v8mfgr/NuQyQYwLBhw5CTk4MFCxa0OIf9Cd35/6mj0d32RksBAZszZw5eeeUVIT46PT0dd955J/7zn/+gtLQUQ4YMwT333IPy8vJu734EehAB6y5s2O83b0CdKUHRXfams9Gd94WPbeKpCB87pXn9ey3H4LQ3vM4YT1T44H9PL8vqpteZBCuRJYq6DwEI30T8GhQ1PpZN0VTHuDCiG4yYqS6P4JKk5M0+FyMaFixxTnFm/DVNleXoN3AICgsLUbrh2zZlVfZ0dOf/p46G3JvkmDZtGoYNG4aLLrpIOK/rOkaPHo1Zs2YhOzsbpaWlKCoqwrnnntsjEtl6DAHrDhg0aBBUVQUhBBs2bGj5AgmJBAhWWZo4vJQDT1hcaemo2WNZwXIK+rV5HD52jCddPLnhySAlY4qqMVkM3l0oWp4s6sj352TdE8gakgfkAwBcVv98rBhc1rVEN4REAbtFjr+Grsvw+kAIgaIo0Dy+NmVVSkh0ByhovyD81uKjjz6CosSb3YLBIE455ZROnUtnoscQsMLCQgBd+5fG5MmTAZiicp2J7rA3qUBn7os9CH5vLVOJ3H3tibLNG1BRbWZUilIP8UHugLM7jyddPHitMt71R8kSL7rK90M4kVmVc2PyJC6R+5CHomnQND8bl587JVy0Txq7RnRd6LukpASKoiC7T180VlhEeH8nY/J7JjG61d7IOo6dhh5DwIYPHw6ga3/Ax40zy8HU1tZ26rjdYW9SgVTuy96qtvPExtE9x53Tg86EqSUomoZtJeaeFBRaVrPWkCraJpFIKlXr10PBhHFcvOWKrccd78bkr+cD9PnXVJeHnVc0lREuRdOgaKoQsJ9IyoKHEQ1j4/fr4PalYerUqWiuq4Fh0yIyomEheH9/cVPK75nEkHsj4YQeQ8C6Aw499FAA8p+wK6BmTwlWrjZLy/z3lZf2yj3XGlCiZZdC2FudrkQETHDzJSBKdZWWcnSv3L6ObQCTjNC+E1qSEoxNz/MEhl+7PWbL/jhRcoET2bT34WhFs33D0fE1ze9IshRNg8udYfZt6I6JAqGGerg8PtMKVjgAFVs2Cq5MSIkwiW6MVLgg91dIAtaJoCraP//8c4pnsn+jMzWxeEV6nhhoPsulVbOnpEUCyGt+OYGvA8lbpPjzodqqpGMwsmjoADG/gHny5GTpAixyZETCgoWJgpIYquEFQPjmSUTK+LGcCJi9LXMhcm2NaNjR0kaFYQHTdcnPl+6ZomnMeqeHAoIlL1hfa17r8QKqKhA1PhlAQqI7QpUf306BJGCdiLy8PACQAfgpBCUZ0eYmRoj4m3F7I5G+VVuhpplWGRWA0Ryf/ZOIHPHn6Vz0UJBlNAptucxCQmg8lLOliwc9L9aitOZIiREvI+FEtJKBjpHIEuaEZHvPz8WeCUlBpSuoS5Ino9FQyArG93oEN6SdfFF35P7iipSQkGgdJAHrRPTqZWarff311ymeyf6Fku/WxJ3TvD4oLpdptTF0Rsz2Njg+EXrl9hUC5+2xUblDhraqH73REjDlSYjlsnNbwqcJSAqVd0j0umBdi1nA+LZ2y1Lc9RFngtWSNcgpu1KI7+KIn0GtaV6/oxirEYmIVscEoqyJ3I+8Bc8xuUDXoWgueNL9UBQFhBComgeq38NIZ0ulkyQkujQUIl2QnQRJwDoJLpcL7thN4osvvkjxbHo+eDcjb+FyZ2R1+lwEQVBbMDklZ3brUt+hYpmNlkgV38bJqmW2taxSVLoiUf1FxFLCBfITSZxZGH/OCoJ3IiJ8v4myK1lf/Nr5LEo+Do0jfMI6WoCdiPFrYaQrZLDPkOb1gehRuGL7Fg0GEA00wuXPYNfR9RaOPAIVW39kEhb0hwBfoaC1BFxCorNgxoClehb7ByQB6ySMGzcOiqJA13VUV1enejo9GpXbtgo3fV+fPPaYFw01ImEoiinq2ZE3wpYC1pOBuq8iTXUsBinRdfS8omrM0sa72niyEaqtBCCSgba493hQS5FjLJfL2SJEx9K8PkcCZpejoNc4xoLxCQgxkshLVfDz4UVc7XOyq+Wb7bU4V6aiuaBScgZrfVSyghLA3WtXIVxfI8zZ1yfPcW0SEhL7H3oMAevqddkmTZoEAGhq6rh4o0To6nvTHrDrY/FuKNXtEQRC6eOxBw9Fer9BiDQ2dMic+KB2p2B2Yuhx1qrcIUOFQtA8nKQdEpIJJ9kGjgi4W9DrmjBqRNw1PJwKXAuaYTHpB0frl25wchWtl8pwIq928sUTr0RxY22pFck/JroOIxrGqWdMh+pygRCC5uoK011pxJNQAEgrGIDmPbvgzc5l51pTRqo7Yn/4ntlbdKu9UaQFrLPQYwhYV8fo0aMBAFVVyTPRJNoOJ3FSIxLh4oLCgvuNSgZ4s/sklWNoT/A3dCdXIGDevMt/2iQQLf7G7eRaM6JhwfLFxmshXqslS5ITgXMiXXz/PKHhNbWs67m4MDpnm5ZXsvnx+mCJQGPE3JxlL1Hsm31fjGiYWbFM8VW/ZUmMvaZpfjaP5poqhJuaWLwYbe/va4puUktXWsEANgbNdq3evVP427v/wIRrkpDoTCgAVE3GgHUGJAHrJAwbNgwAsGPHjhTPpGegurycPXbKCgTMGyCVe/Bm5woEhreQ8eDJ3N66Jfk+RAISU3XnCIQTOeLlDvg5J7J2tWQZ4kH7cIrtSqRNxixJDq8TXXd0MdJzTlaxRJplLboXHSxawmOh0LcVzE+JOL/vqssjFAvnkWgf6Fh6JAKXx4u0nD4guo5ATJKCGCYJo++Z6vIIYrgy3ktCQoJHjyFgVGV+zZr4jLeugAEDzF/Bmzdv7vSxu/re7CvsLh0+xoYPwFddHrgzMtnz79avx8crlmPqiScBiLektaaOYm25VYqGEhl+fCerkeb1MbJiv/nz8USsD1qOJ4EeFg8n4uVkDUuU4UexYctPAICRww5KOl5CXTLbeYH8cO9XS3IUfHbj3iBZNiZdL08geQLLW79UlwdGJAw9FMTnH32ItOw+mHDkkcjom4+03rlorq1GsL5OyKKkcXu0Tyr90XfowT3S4tXTv2f2Bd1qb6QLstPQYwhYZmZmy41SiNxc05W0bt26Th+7q+/NvkIPBeOKUFPYM/cijQ1MU6uhsQkwdKYQnywWjCdafCC/ExJZnwRNrZBFDPj5MitZguxDPvaLJ2b2651ciABnxeGIH1V+59EY2wtegDSRC9IJlNQ4ykokEFu1zxEA9BiBTlT/0akvJ1dlIikMIxoWAvQTvXc8oWyoq0NDXR3Co0bC7U+DqmnI6NMXadm9UbdnN6JBc2958rU/oKd/z+wLutve7Ecf25SixxCwro60tDQAwMqVK1M8k+6P6t07gUhICOBW3ZYOVri+RnAxKpomuIIiNSbhMoLNQr/ujEyhT6Ja/x4KnGMiIo317Kbtze4DwLRwUTKnef2ObkjN6xNU1vm5AiYhoSSmJZeYomqO7rlEZILOK1k7vqQQnZ8muPjiS/TwRIauuaW4rWRzBOKzGRVNZdYwwf3IjSOUOGLuU5GAsT2NipIZps6XJqyZz45U/R5GfuvLSgFVRUbvPvBmZEHVNGT3G4jakp2MhJl9OGd6SkhI7N+QBKwTkJeXB03TQAjB2rVrUz2dHgP+xsbf4BRVQzTQxDS/iK7HuSlVtxsP/ONxAMCUY6ey83w/Lp748BmEGVlQVJUF8NNsx1BtlWMpnkRWECcS40SgWkOqmBo9X4OxBXekvV0iC5dTtqBjBmHs26QlAVJ+Xa2xEPGuV6FAdwx2guNYE9IGatnjSaPYp0X8qDWRivbSKgHE0AFDR+3OYrjTM9F70FAoioJehf1Rvul7lmChh4Km2zk2n8ptW2U8mESXhaIAinRBdgokAesEHH300QCAcDgMw2hbCRaJePA3Vk9WNrM2CQWREe9+pKRI08Qbf3ZePnMxKqomugQ5N5/qEkmck4hqogBxngA6uTCd6jfyRIbPlrTPDUhcczIZnIRVnUVVnYPVgeRSDvzrNAA/kSuQJ01OQfNOZNJJzoHvh+6J3frEz5m3nOl6MCa0KpJoKiPC9oark0nfo/ScPlafUAQCp6ia1P6S6FaQLsjOgSRgnQAagFlXV9dCS4mWULZ5gxCXFGlsEOQmkkEPBqGmZaB3rCbntGnT4tq40tJhRMKMEJk3z1jAvK4LwdOUgCmqxubAi3byxa8TWYXoTZ2fu0UU/Y7XsHZ8cD0f+O9gDXOUokiQ1ZgImjd+Pm2JC7PGjbdQ8VYxSrzspEt1ux1fU90eqG6zFFCiDFM7UeTrPyYrnm1Z3nTRra1qUN2myr/LnwFvZi8oseoBjRVlbAz6WeWv7YkB+BISEm2HJGCdgBEjTFHLPXv2pHgm3RuV27YyKwxPwoDEcVI8NE1DtNGZBGfn5bOsR15Ykz7nsyCpdhM/JrVq2bW6nEhQIisTs7y04ednsixBp+B83pLj6I5MQqhaIltWhqVFguzSEwZnRaPxXfw5KiXBuxXZ65zFiyc04nslBujT59QNyIO3zhHdgDsji7UJ1VbC7e0lrCvSWC+I6Kbn9IG7/0BhX5prqxAOJo73CtVWyuLcEl0b0gXZaegxBKykpKTlRinCAQccAAAoLi5OyfhdeW9aC2pt4l11fNC8Hgw6ug4Bk2iEaszSO/nDR7Lz9n3JKegnZDs279mFfmPGJZwT0XXA7QUAuLJ6I1pfzcZLNA+KZNY6IxKOI2l8UD7veuOJFz2vh5zcdfGxYU76X/RxXm4f9jwZ8RLmGbW/Fv8trjhkMzq5F4WYLkp6eGLH63w5lhBSHR/bRWONaDih9SuRMG2fXpnw98qBPztHbE8ImquroGhulhjh8mcgGmhEpLFeqEPq8mcwWQogvvZnd0RP+J7pKHSnvTGFWJVUT2O/QI8hYFu2bEn1FBKisNBUxt64cWNKxu/Ke9NWaBm9WBajPQsyzmXFxWy5c/pCt1m/nPYlOy+/bROKhLjxOCX4mAAsr0OWyLLlRI6cgvkpnFx3gEW8eEsPbescQxUvykrHHTKgf1x7fi7UEsmTn2SaXk5uR3pO88fLYCSDoqlsLCfdNEdB2JiLkrbl49mIbkDz+lisFn0tGmiMU8aPNNVh6IAB6HPgMGFOkWAQDXt2w4hGoRAxY9blzwDxmvvqTu/VYpJCd0VP+p5pb8i9kXBCjyFgXRnZ2dkAgK+//jq1E+nGoNpdAKBm58Id+4FmJxa8tcaARcIo+aotL2s7yYqBF2blZS0o2dIcMh/dGVnM+gZYJEbQBHPKVmwhizKZgrwRiSSVd6DtnaxwTqQsGYQC2wkkJ0wpi2DcXBk55Apos/g1m2uVRMKO1jMn6x0fOyckQtAqADH1fuE90OPrcvL9KqqG9D658A4aDEBh8V6EEDSU70FzVZnYv9uUqqAkDjBJK3UB07GoVYx+thIJ/kpIdBqkC7LT0GMIGBW6a2jomMLKewtVVeHxmF/MX3zxRUrm0FX3prWo3LYVRnOjFegOIMqVGeJBb3wURtS8gdszJIHW7wuVmRDHcS6ozMdaWW4yZzLlZHni4eSGTPa4pdixZGWK+Iw/AGhsMK1F6Wmt0/4y+zC/tele0zXxbj5e9oFZxWLX89cl080S+uDWZK+JaUTDwt4kIpdm4L8e55Ll99PfKwe+WBWF+vp6EELg0xQ0lO9B1KYn5zQGtaAlc+dGm5uYW5Jen3fQIQnbdzV09++ZjkT32hsFinRBdgp6DAGjmYZdrer8mDFjoCgKDMNIWRB+V92b1qB6905mBeFrO1JrE7VEqW43syzYiQh/MwxUWFastu4LH8cTR44cSvvwpI93RbZk8bL36ViYOoH4ajLEEY8kY2782Yy5mzB6ZFKXmVP8FCVqThpbvOgpBX1/aSKDy5/OyjUx4hZbI1/GyZXAdRnvivbEWQz5/QNErS+nz09aLN4r3NyETz9YDhCCsQcPheb1MWuak9tY0GVzIF96MAjN50Oksd7xfSz/aRPro6trh3Xn75mOhtwbCSf0GALWVTFx4kQAQHNz/K9kieSg2YZCnJMt2N5uiRJ1uGjckSkrYUDZq8yzvIMOabHmowCHwPhEc3QMhE9CIJ3Q2mLc9n6TzkNRmN6VU7HtZEhUuihSXxMXUM8Xy46TuYg6kzjWv4OgK4tNc3viRGntpFVRNaH+I72Obw8AaTl9oKgqCCGoLdkJEGKp8WtaXIC9fe16KCDEovFJFsTQGfFUVLN+pMuf4fg+8pbY7mQZk+hmUCAtYJ0EScA6GIcffjgAoKqqKnnDHo6y0lL2OD+WlNBa2OUDBJ0uzvJAg6Up6M2Ox97GgPFxXHzQPE8GnSwYdPxE5WiSyWckyprkrTX2fhJZywBOBqMFAtgW2Gs+Apa1z+721bjnTjUeeZclm7steJ8vF8RbCK3YsSTZnhxRS+TC5V+nAqy+TFOOItzYAFVzQVFo/JkaZ/mMNNYziQw7YTUteprjXvNWOvtnhdcTo+ALe0tItCcUAKoqCVhnQBKwDsbw4cMBALt27UrxTFIHnnztLWggNGBatmhslx086TIiYSYTYQBQjOheSzznDx/JpDAAy9KiB53V7lurfN6S+9CqZRgfO+ZUcNuJWCQraWQnA5b7MApiELPQuZPbMCqq9dtJsjAnWiCct0h5jRav42FJbJjExJWWDkXT4PKns3O8AC2fhWqPb+PJjp2QEUOPkwGhltRwc6NYiiimng9QjTA32xM+O5PW0xQC+5NYOUO1JtmnljD6eVZdnljxcMs6V7H1R2ZBSyaZIiEh0fUgCVgHY+BAU/V6f01Drty2FbwjKhxtvXI6rxhes6dEuEk6xdM4ERLFiFo3O1VDQ6j1JWGoCxSwCBUlHLzLyZ5NZ87FzURZWVFtW9xRMiRzJbKxWugrPjsy3opml72gVhZFc0HRTKJDSZmTvIPdysMXsqa6YI4q9Elgb0/31yRTNJhfXDtfaxEQs1Rb69K1J0XYrVWK5uLIpItZqniLl+p2w+XPYHtNdB1wWT8g6GeXZkrS9eqhAFS3h11rRMNCBiUARJrq4vaGSmsAJhnzZGUDAKtTKiHRZkgXZKdBErAORt++5hfh+vXrUzyTzge1GGmhgFACaF9BXUV2SxhPzBJlEA4cOGCfxqb9RxrrhTHYTZjX6Iq11fWAMzm0uQad5su3S1Y021kvzJbVp8UXv7bvF28Bo9mBTmTLHgjPz011eeKyUe3ztgfv2/eA1+qiWmPUWsa7H41IhK3JHm8XDTRZ0hB7SWQVojALWDQUMPdQUQFFzO7UQ0EWN0YJFAVdB7Pg2t4rVkGA+/xarl3TcpasogJPkil4a23ukKEo27wBgChELCHhDCWhOLFE+0ISsA5Gerp5Y161alWKZ5I6qGkZ0NoxpkBRVRDDAHEobG4PZjeggADQXG4Y0UibYsD4skK8S8mups5DdbuZS0x1exhpEJTdbYSqpVgv+3W8W4rCqcRQMiua3Y1pd3PxSLbeRAXP7euicwQg6GLZyxfxFi77XJi7U/NDdXvgzsgSskutOXGWsBhpcppTokQFaqlSVA1Z+f1iWcw6wk2mO5MP3FddHkQDTVBUDe6MLKHQOp+MwL83NPjfXu6KEl7+OY0b4/vhxW9Vl4dZBo1IGOH6WhiRsGA5o6WPALOWqiRhEhJdAy3S3GuuuQbr1q1DXV0d6urq8MUXX+C0004DALhcLtx7771Yt24dGhsbUVJSgsWLFzO3G8VBBx2Ejz76CLt378bf/vY3JmIIAEVFRSCE4MILLxSumT17dps0U9asWYM1a9a0un1nICsrCy6XC4SQlBKwVO1N7pChyB0yFL3z8vbJJVJXWQHV5QZRXebBES8+cBqwAvGprpOmKoz8RRWzXXV5OarLy/H8s88m3BeaccbfkMP1NQjX1wjn6KGHgogGmhANNEHz+thBwZ9T3W6objdTX2dWExaw7zc1oww93ooUO0cLUDuBtokGGhENNIqq77Y+ncZQXR6MPPhgjBx2MBRNY/PhYURFK499PrRfui5qFaIxTHYrnn0evPuPkhA6D/791ny+OMuXSYIDrB+AC/Dn9jmRwC1PjDWP2Xewvo71M/LggzHiwKECIeUTDoxo2JF88X077QFgkTae8PNrEfrjHtNxKQGMNNUJf1uL8p82OeretQZd8Tu4q6Bb7Y0CKKrSLodEcrRIwHbt2oU//OEPGDt2LMaPH48PP/wQb7zxBkaPHo20tDSMHTsWd999N8aOHYszzzwTAwcOxLJlywRV8MceewxLlizBqaeeiuHDh+O8884TxggEAliwYAETLN0bNDQ0dDmRu6OOOgoAEIlEEA6nrvxIV9ybvYGmKlCMqJDdRg/evcMfPNwKEK6vYc8z0tOx/eefk44ZrChhByVQRiQskC9XWroZFB4jU/ZsRyMSiZW4CcYdlJRQy4oRDSPSVCfcOJNZajSvn5Efeo66rNzpvQTSIkp0aMLBkydF05CRmYE0rycmihqIc3HZ3WKU7NHzrO/Y+2DP6jOJmMEsXy5/uklMY9fz5X/s5M9OkgCLANK95tdJ10T/JnMH8895KQqDI0uZvXrB79GErNJIYz30UMBcBxfz55SdSgk0YMUSskxeQyRs5t5YemeCO1mIPTRYO0XTBOuhy58hkGXqjiz5bg1KvrNIAV+bcm9IWE/5nukIdKe9UQAmlLyvh0RytOiCfPPNN4Xn8+bNw9VXX43Jkyfj+++/x8knnyy8fuWVV2Ljxo049NBDWdxTTk4O1qxZg/Xr12Pbtm2sNA/Fq6++ilNOOQXXXnst/va3v+3jkroOJkyYAMBUzpbYe/BxXlFFY2WITFFOsdYhDb5mquoxa5lhfq2YbqtYWSIto1fcWPQmRK9P5OZygistXQj+prAsNO64YH6hnS3Wyp45Bzi7FfnsPvu5RG7IZK5OSrYo8aGlfYQyT9GwY5tkSKYnxmdV8kHsTrCviZIuwTVoWxPR9RYFXKklkq4p0lQHPRyG6vPBm5GJQG21rU+DfYMKVrmY9ZJmU/ISEvSxy59uugzraljWJL8u6p7lySx9jS91BJifO/reuNLSEW1usj6/6b0QaaqLU+Ev27yBkeKS79aw9pR4uvzpLAmFT4aR2A+gyBiwzkKbdllVVcyYMQMZGRkJy+pkZcVqm9VYloa5c+finXfeQTAYxMiRI7Fo0SLhmsbGRvzpT3/C3Llz0atX/E2xNRg2bBiGDRvWcsNOxKhRowAAZWVlLbTsWHTFvdkbKKpFvgCTXPFWHKJb1iirTcxlBwKdEEQVDVpGL3iysrFt+zZMmjLFcSyedFGrF7W02a1J0eYmLrPNLUgm2I9ELj+ePNHn1IrBExYn96GTS1Rw/TmQGd5KaJ+T6vJgR1klinfsFFy6/HVsDjZXGj8Hvk8nuQn6XvHr5QVLqZiqXU3eJEk+9pytiSMp/Nr5wHY7+eIlHfg1sILcNJ6Pe8+3btuGHWWmVEQ00CTcrJhFi7Ny8W5TuzWLxeBx7zN1LXqzc+P2jLeqUVjuSh+LRaNtKaGle0pduXT/Na9PmDMlXzz4bOBk6CnfMx0BuTcSTmhVEP6oUaPw5ZdfwufzobGxEWeddZZjVp/b7caDDz6IN998E7t372bnly9fjvz8fOTk5KC8vNxxjIULF+LGG2/Erbfeittuu63VC8jMzMS0adMwZMgQAEC/flYx282bN6M0pkFVWFjINLmcwJeIGDduHKvdZUdJSQmTlMjMzGQlJpzQv39/AMD27dsxbNgwYW48GhoahPiAadOmJexzb9bUr18/FBYWJhy/LWtas2YNM6V31ppWrjaLmBNCMGncWHYD+m79BjQ1N0NRFOvmG1Nvz8/ri6FDhkB1uVFfV4v1G3+Iu9Hu3L0bRx11FEpLS9mainfuQmWdabG0x+ikp6Vh1PBhjFisWvudqRhvg6JpGDpoEPL65sKIRFBeWYXiHTti84tPHJgU22/N68d3G9ajORB0dDvm5+VhyID+IIaOpuYANv60Na4NxYiDhrI6jtt27UZFda05vq3fNL8Po4YPY/Nete57gBDsLjP/Tyuqa9g1g/sVoKDAFNGtbg5h287dsIO2nTB6JOtzw5af0BSIuTAJEaxzfXvnYEh/8zNUX1uLH4q3MwJLBU+pJWjksIOQ5jN13bZu34HySpMEGeGQIEOR5vNixIEHsDmtWvcdFM0V16eiuTBkQH/k9+0LYugor6rGtl272TyhKPCVVEBzuaFHIhjZ34xjrKipRUVVNSqqa9iaGTF37UBuVgYOGDQIANAcDGHDjz+zqgJm1wYjzKOGD0Oaz4zz2rZrN8qrqs3PKSFQXC5GntPT0zH6kEPEz565ILNPPcr6P2DwIORmmd9f5VXV2L67NObadLG5EkOHoqgYP/IQ9l5s2rELdVWVojs61v+wYcNa/I6g38H8/1Mqv/eA9vsu39fvvX29P3U2aOavRMeiVQRs8+bNOPzww5GdnY1zzjkHixYtwrRp07BhwwbWRtM0vPjii8jOzsYZZ5wR10ckEklIvgBA13XMnTsXixYtwj/+8Y+9WErXQ36+mW23cePGFM+k6+D3N1zPHtOyNEOHDEFeXl6cTMUfbr7JsQ/TChIxAz3pDYgQgJIbhWZJcm44xSwlo9gI09FHHYX//Oc/AEz3Y/HOXayNEkugYOMSI47A8Dc+ZpXhrzF0ECIqvNvdinHB2UzvjJYCYn6uhFpidmKnqM5thVgkYkBRRDV3nihQssTceprb0VokDhDbOy5QnBCD7ZOVBRgFoMPQo/FaYor45W9JSRgW0dajVlagx8vG5mOk4talKMI+KYoKIxIS9yXWDjCtXmqMuOmcEj8/P9XjhR5sFiQoQJXyVY25wOleC/OB5SI3rVTVbE/NuXH7Evs8M0sn1x8lV/T9IoYhWskUhRFQ2p7NPyZczOvaGZGwSQA1F5TYZ+/l5xdh3KTJkNgPoMTLxEh0DBQApMVWNixfvhzbt2/HnDlzAJjk6+WXX8bo0aMxbdq0NrncioqKsH79elx33XUAgJUrV2L9+vX49NNP8Y9//CPhrxeK1atXY8KECeyXRlcqdtrc3Ay/348LLrgAL7/8csrm0RX2hrox+ABpNU10B2mqwrIlK7dtZWrmgJXBqEXDcS4YCqoNBphxY2LQufWFQm96X6xaDVVRMGnCeGTn5QtByNSNqbrcQgC5UzkhCv6GyQeO866luDk7rIXpXyUQJKVr5f8mEzdNJITqFFhPsfp788fVhNEjRYtIgvHsa4vXFROV7+3ZifS5vXA2wElkOMhy0La8i5OWBHLShHPSPaPFtO2xZX2GHARV06BHo6je/jO79usNZoD6+JGHmDGCMRkKYT848s/rlNEsRZo0QbNCWWktVQzuF0hXLCmBH4MYOlP+jzY3Cdfbx4801cGd3ouJBEebm+DOyGJ7Fw00wZvdR5CyoEkmAJBT4Gz1oegK3zNdFfu6N/Q+1xmo+3EDvv797HbpK2vuPztt3t0Re6UDpqoqvF7zV6fL5cIrr7yCUaNGtZl8OeGWW27BBx98gOrq6pYbd3H4YgQiUbxcT0ddZQUAkbTQG5M7IwuEU6knhg6opuuJF5EEzJumBt28UWg+QYaCt9AAFvGyCAq1EvDSFbHSOooCPWaJqNlTwsaif83MRDGrjr/R28sNaV4/I41OwfiCgCinacWvE+CU8x1irexZdU71He1IJIjqpOvlBCftLDtJjBO+tY9BjXgJyDMjcC6RWCW7hs7NrJUYtObKvS9GNAxEYZEsm2WMF5LlrZC9+g+CqmkghKCu1CojZheYjTTWM6JinxdLEuBKE1GLUyJttkTSGC5/OiKN9SzRgP+M66EANJ/PsU8+qcCdbsXX0jgvXqfO5U8XEl5owoDTDweJngxLfFiiY9HiLt9zzz2YMmUKBg8ejFGjRuEvf/kLpk2bhsWLF0PTNCxZsgSTJk3C+eefD0II8vPzkZ+fz8hHW/HJJ59g2bJl+M1vfrNX13cVHHrooTEBRwPbt29P9XQ6FbXlZYx88TAiESHoFzCzEyPEtHD1yu0bF/Brt1gY0QjnonOWZzD/qlBUFXqsniFfH9IMho9ZZBTxy4bX6+ID6/k18AH1NOieHjSo25WWLgRWUykHSgLscgv2DENagDmRXlQiPS+BuDgE5zvtmX1cu0ioE6g8BA2WTzRPuldx8+cIJX/Ykw6E+dmIi72t5vXFETd7ED89z/dphy87B560dBBC0FhRHnOXIs6tZ5fIcLLG0cB4uhcUibJbebLGrF+xffX0yokj3nTMZJm69rb0hwPrK/Z/SednatWZQre8Fbp6907sXrsKu9fuv6LS+wUUAJraPkcrMH/+fBBChKPUVj94/vz52L17N5qbm1FUVIQRI0Z0wMI7Hy1awAoKCvDiiy+ioKAAdXV1+O6773Dqqafi/fffx+DBgzF9+nQAwDfffCNcd/HFF8dlO7YWt956K9atW4dAINBy4y6KyZPNeInuvIa9QW25aAHVDQK4vVBBYm4XyyJld2lQ8qW63UIsD4URjbCbtiW94Gb9mVITpiuTEiwVgBEbHwC70RiRMELRKLyxGJcwMa91G8Qs2m0bW9M04SZH3TL8Of6GZs7Nw80zdlPV4y07duJCrTVOryXSq3Jqk8jyZXcPMvFPiDIRxNAFJXan8e3ljqjcA10vlUiwW+7ihFhbYWVxsoTxBNNci4+VJ6KZiCyrMSq6hvk+WfwWgIw+eVAUBZFgEMGG2jgiS2PEnKyPxNCZS9Ks8ehsCaW1H+3uRzpX6hK1Z9sKe8jW7GfP7XOhLlL7Od6tGw00McuaXdyVztf+/uxeuwr9Dz8ybm0SEnuDTZs2CUkYOvd5u+WWW3DzzTfj4osvxubNm/HHP/4Ry5cvx/Dhw9HY2OjQW/dBiwTskksuSfja9u3b44Ka24rjjjsu7tyGDRvgcrXNO9rVRO6OOOIIAKIcR6qQir3hCREAhHQDXk1lxChZOSDTkiG6Ge3kwboJWYHxKjtHQMsVAYAKgggBXMRSkTegIDsrCwoIdINADTSaN08ArqzeQCw4G3CO+6IuxoRB8czakDg2y4l0MK0qd0ZsbIvAqy7TfWUvpG2/IdtV4BONS4lefGFrPzIyMkGIIehT8WNQ8GPQeCpe84q6/5hLN6aNFbeGBDFgTmt02m8nDTT+MU9qhfkz0mzuuz+nj+V63LUDUCw3HstI9PuFTEbeUkUJn+b1CbFhvOuQCtYqqigKS99bakXlRWQpqeetv5Tk8ePreoC5RJ3IOm/RirMYqqZgLi/jogeDcGdkQlfN7+P+hx+Jiq0/QlE1FjPZd+jBAFr3PbPub1aG+2G/vafF9j0FXe3+lAxKClyQ0Wg0YfjSjTfeiHvvvRevv/46ALNKTnl5OS644AIsXLiwM6fZ7ugxtSC7WpkHmlLMy3GkCqnYGyMSRm3EQO808wvfJF8mkXISdqQuSyMaYXEoejDIbhj22Bsz+Ngd99gOZiVQXVA1q41qGBg9UqyJR12HMKJQ3B5mcRCyxni9Lk5glYKSNZ5YJAu+T2T5iQYa4fJnwOXPiLdk2UiJnUSwdq0Y10lcFVHgkMH9HS0rjLzZyg4JLjRWPNtmbeIsSXbLGT8HMXlCS0hyhTW7zCByGtuUiCgyC6ou7iFFem9Teyvc2ADDiAqv0c/giAMPgDsjC3ooyCxndjIVDTSxepZi1qGb9UWtYGwPY3O0J3CYoq2i29Aco5FpjNmtYfY9pP0AZtwaFRjWbPtP3af0L0/GAGeFfDsRk4hHV7s/JUU7ZkHm5uZi9erV7PnChQvx1FNPxbUbOnQodu3ahXA4jK+++gq33347iouLccABB6CwsBDvv/8+axsMBvHJJ5/gqKOOkgRMwhmDYjpAW7cm1mrqicjOy8fOnbsAKMh2q+zGkCiDiga/O4HerPh4Id7laMoSqGadyNhjwHR7aqrC4sCIYcQsXUBTyLxh+yIx91tMDV8Qb7XFftlrDVKSpYd0dqPib5D2rEehZqKDKxKwCIKmWbX/nNx75nwsl5W5F/GkyE7G7EH/dkkMRdOgaX7B0uhk+WKxeDFrDSUg9gw9p/nyQe58X4kSCPjzfKae0IYr20PbU+sT3w9vReWvc6WlW5mJLpf5eSEEjZVljm5V6sKzjynIdXBlgCJNdXD5M9g5Oi9KsOm1Ln+6Sdpi1jOq7M+LovJEi/8h4CRyS0HdsTyoWj5ALVxZpmUudo5mUwqf+0iI7QctOk5/sND9q9j6oyRhEgIqKytbzIL86quvcPHFF2PTpk3Iy8vDvHnz8MUXX2DkyJEoKCgAEC9mXlZWxnQ2uzMkAesg0F+WTU2tK2PTU8DHgCUiX7zcA4URjbAbACtkHSNWPJyeU6JFn8dUmOKzJQFk+b2obQqiWfOhl98D2oKoLhYnxt/o+JsXvdHYXTTssS2mStetTEEni5eglaXHW9mcYnHsrji79YsvYM3PhVql6Dh8sWj+byJSxAeG83tEXbr8HOLKANmsUbxlzQn2QHNvdh8AQKSxQbAo2ckIJThOOmv82iwy77FcyZqGtJzcWOKMDsMwGGni3wdKlFz+dLj86aYVTNPYYxrzxgqIa9ZaaX+8VVPM2OXjHS1LIB2Pt65SV66iasyixV/HS1hQ0H6YQr/PBz0YRE0wgt5pVvyiMA/O5U3XH66vgScrJ47kuzOyUFteljS84LDf3iO4ISnW/rAFg7LMvZKlj1INJeGPoo7AsmXLhOcrV67E1q1bMXv2bKxcuRIABG1FAFAUJe5cd0SPIWBdTYOGEi973ctUIBV7Y2Y3KnBrGqrLy+NEVp2geX2cRcMiVvRmY56n8TGirhfT/0JMWkI34OHM6EYkDN3lAXQDvfxmMsAXK78CAEwaP9bsh5sLT0z4GDBF1aAHrTgZ3ppgdx3xri7HTMYEVrC2IJHbMVnmH5BYRoKeX/ODSZKPPHyM2W8Ctyf/mlORa3tbILF0htP7TAwd4fpax36TgRIlisAeM8HDXzBQIKn8HDzpsbi7sJnswX87UvKkhwJYvd4UVh53yEHQvH5TUiUmoMu/33w8mKJpjOzRddKEEBp7Ze1DRHjMky9FNa+jFih7DJf9OQ87aWIu/mAENKOXzpNZSDkrGE9cKcL1NUyH7MtVpqspGQmrKCtD3VfL2fPKbVuhut3YUW/FOlbv3tnjSFhXuz8lRYqFWJuamrBhwwYcfPDBeOONNwCYyYC7dllyMHl5eSkv8dcekGIfHQSanZGTk5PimXQeqnfvjMXDqNBUBeGos4WD1gB0Z2RBDwahutxQXW4m/QDQDDwzHswpC4+6IJnSeOyxCgKPpjLyxc67PfBoKqslaUQjADEAYghBz9FmU6DSzJSMMIsAPajchBEJs7aCDIVdCoKTWHAClWmgN3dmvUgg65AITmNQAujUD40vs4NKKyiayyxdQ92/sXmx+ooJNKfoay3JWFAIrju7qzLBX7Y+VYM3u49gDeQzUfnn/oKBSOs3RHgveTKpqBq0GNkI1tcLZNpJL42q0OuhACPg1F1oyjrEFye3uxTt7lQ6F7tALm/54l+LBszvGDOrMohIU6zIvDdeE0zUrwtD8/kYucqCqDHHAvzdVowlnQfvpgQQr6Afa58stIDCnjHNkzCJ/RderxeHHHIISktLUVxcjNLSUpx00knC68ccc0yP0NfsMRawroba2loAaFHJv6egZk8Ju9HTGKx0r3nj4q1f9i9dakmigfdxQqOReOX7RBk6LPMyNj5tS8VZacakQEgUVQjwd6WlC25FJ20nu0XMiEQs5fxY8L7TjVTUrPIL/fI3P/65sD49Po7J7pZMZHVLFI+VSJGevk5vsHTNTqr49ud2F6Lgroxl/1E3Gt37OLkOB9KVyC3Cx0zxY9mFRJ3my9bp9zO3RjRGhjWvX5iP6vLAQJiRL3d6L7ZGIxKJmyuNkSK6HvuhYYmx8hZF1e2GHhJJqx4KOBJk87WgmcnL7S9zQasay760Eyk6Ty2JRiONCaMEiwrHChpmtphIwLKOgSv1VLOnJC78oG9+Pn5680XkTrJuqBHVhUFZfjQZCvQEyTQSnQgl8XdsR+D+++/HW2+9hR07diAvLw933HEH0tPTmYzVww8/jLlz52LTpk3YsmUL5s2bh8bGRrz00kudNseOgiRgHQRKwDIynL9EexLor13r5kwAKCymqiUwK5Yu3sD4zDB6DogvM2S+ZrorVWYRI+xLRHW5BYV8u6vGHj9Fy7pY89OFDDvqAgIAb04ua2cXw9S8fthlJFifDjpYidyEfH/CPkTEYH8n7TT763EZlS3EftF10tdp+ZpEcXJAvEQCb50SZBRsgf70PP+XP+9UpijSaKX388HvgLVfpu6VRdD4wt10Tt70TDaORTbd7LpE63R6bH9OyZmiWoSZjwmzExpF01jMnnm9KThLhW/59fLgMyL5NfL9UPJFXek0VlXlsn4pooEmuGBp5zGNNQeSL8iRxFybiqo5uiMPOuMi1JaXQVFVuNLSoUKBrqpA2JpvRVkZ+ubn47tH57Ex9ifZitRCAToxBmzAgAF4+eWXkZubi4qKCqxcuRKTJk3Cjh07AAD33Xcf/H4/HnvsMeTk5OCrr77CySef3O01wABJwDoMVP8rPT29hZbdG3xAvf2GpKgaIhwHq9y2FdHmJmYtYlmLNuuKGN/lIKVgI1CqQ7C+ea3B+rO3IWqs0DYRrUT2GzNgxs5Q8JYBwCQodD2Oc01AhpzaxAmjcsHl/Ov28/YbcUtlgpwsZvY+KTy9coR5UwIDAIZ4f3ckZPZzTs/5c3xwOT3HuylplqllTTJJEvtLA+c5kiqUKYItxirWNhxohi8zS3CH8oK6PAlTXC6QmDq+PSnAPm89GGQWLp5Q8zFmVLKCrptXpTcJmhV/Rq1i1P1Ig/yZuKvLwwLtq7/9DNmjJrL3WEhCUDVO4sXNYsDYmt1us7yRblmGia5bBC4WK6b5fCyORVGUFi1sFNl5+di+fSd8HhfcvOBxNIxIYz1C1WWo2VOCna893mJfEt0b559/fott7rrrLtx1112dMJvOhYwB6yBUVlYCAPz++FiQngJKvqLNTSahUV3M0hEmCrLz8tE3Pz4Y1+CE/ohhWDX6mOsoyJGnxEHfllXFDMK3EyArJskQyBiAhNY5WlOPHyPa3MT6Ut1uFr9GEW1uMos/G87lgPjH9GbKEx17ZiItW0RvvlTGgCdJZhC33zE+yan8Dg+nGC1WKonGRhECEAI9GIQeDJrFm2OuLRobl6w/p7gsp7nFxWHFrDj2veP7NwmGaTWi86CWKnvZHbtkRCI3ZiQQACEEiqIwa5h9bexvNApC4gk/HcuJXALW+2tEw8Lnx2m99DltZ7pSrTGZMKuuC32F62vEgvduN4gq/s7mCTn/o8Pq28p8pPFl9nmZc8uMO696vHF92cuLUQwebAXaG4YBn8cNuMXrB557jeO1Eh0HJRaE3x6HRHJIC1gHoaLCFBalRct7MuyFtQEgv7Awrl3ukKHml3EkBHBq93HZW7Y4JDucbsw0tou3dDn1Q60SAFjmGq9Ybu+fwohE2A2Hxqu50tIRrqsRxuKvZ/UnHWobxkkl2LIXrdgiZ2kHu5WL9sFrc8X1nUCPi82Jj03SXMI8+ADzepjry4KzdYu3BCVyKbK5ca/b18pb+Kh1xpWWbsXlxawwfHyZvW9as9MJrrR0GBE3a6NHInB5PPBmZCAcaBa0v4TPhKIARFy3XaCXWuOcxnaygrozsoRMSX48zesD3F4WW2i9JxnwZGWzz7vm9Quircz6RadtI4Y02YMHb/Uy994NnmpSq5ep++ZLSh75tSfKbMwvLERFWRncRhQRuJhLtNfBo2FEIwhWlWHQ+deZjaULspPQuTIU+zN6DAHbvHlzqqcgYM+ePQC6BgHrqL2hoos0Boz+ck6mA9S7/0DU7Cmxgu551xItU9OKQFwaXG89t6xhdC7sNbvad+wGcuABByAas/oA4o2Uv+lSl4oRjTDCRV1znl45FqGzkQ3evZeowHSiYHs7mbCvhxdN5fuxx7M53XSTfbnS1w4YaN4s6Tx4K0iW7YetJVhrSXLY46Ys156lBE/jyyjMGCe3QIgF6xknzGsnK3YXmtmfFQdFkytMd2BQcDXS+KZIKACXxwNXzMXqmP2oajhg4EAQ4kws+WQN+prdWghA0CujVkWNvYeWS5WuUXV7WYF3wCTEvOXL5U9nnzd3Rqa5JupiBAHcYhkr/oeK6nbHYvbc7H+Kz3wUaqJy7kXalvZ1wODBINGIaQlvZfwnAMFK/uPWbcjtlQMjGon7HnAK6u8u6Gr3J4mugR5DwOzV01MNqlHS1pqWHYGO3pucgn6xoFotKfkCzF/CfAFiCj7g3k6s+MxFQQ1fEE8VCRkfRwM4Wx1ys3sB6GWNzwUwA26hLp499ssepN8SHF2FLSjE2+fOlwri+xSsb/asRjWeiPHPhXG41/r2zo7Nkbr6xDY8eDegfb32gHCLXNDyPRYhMvs2x7Oru/NrtAeM88RZdbtjSRJWcD59Dynxpmvn+zAiEYQaG+HP7GXGDMYIkD0hAwDycvvEkT3A2nNK6GilBD6oXw9ZVkprPWZf0eYmYa+oUCoAIBJiRJ6P54o0NkDz+QQCJ8Q66qL1jv0vuSwizNdNpVYxuwWLto2zBnLIz+srvi+qC5rLDT1W4L41BCoc1QUi6O/bD/U/b4B/qFk2jAbndzd0tftTUqRYB2x/QurZQQ8FFY2z11rrqWiJeAFmvUcWXBwJCzcne1wKPcdbbZjYaiyjkX5FsNgr1QXFiMaKEjtn2fH98zdR/oZDCQF/LS9P4WTNshMceo7vgwVOJ1CCTxSMb1e1j5OMSPBcWLNDjFaiGyn/Gh+UbSLeOmmRgXpB5woAogHOFcqsP7x1zB1XWcAsOm6Naw8ijzTWM3FTUyhXzDi0dLBEEVEKuxWM/tXDYRYH5vb7EQwFHa1s9vXQgHYaT0XP08B1fgxAtMzxxNzM1rRkLawMRbfQhu4BzWqkc+QTXOia7eScEqxkSSuC1EiCAH7+/8WelaypCoxoFKqqgRhmRjRFW6xYRsyalnXgSCGZR6KjIV2QnYUeQ8AKYzFHXeWXRleZB9Dxe0O1vewkjA++5Yv80i/6YCQKr73INvdlb/8SsMeM2W+gCghLn+bjsHiLA7W06cEgyiuroPn86JORJvQLWNlxNO6GwhK7FDMV6TXifMV18SWJKOxkiz7mNb9Ul4eJYLrS0uPIaiIixu9BsrqLTtax8qoqAEB+37zYPIOxucVnuNE4LD7+iMLlTzcrELg8QFM9O8fLWtjnQglHsKocaQUD2HvGz50nUJSMRRrr2V4pqsYsUbSaAT93u3uZzkWPRuFyu+HxpSGk1rP+LULowZ6SEhjRKHKzM6GompXVq5k/CsyMxaDwmedFfc1+RAsaT7Ls2Yg8nNTo7eug8wRE1zOFaYXkP7eWu8/uwuc/N4qqCv+//I8iYhgor6yEoUdRmJEpvleEwM21rausQK/cvkiEHVV1yK7djYzBB0MxosiOEbaKbqx83tXuTxJdAz2GgA0fPhxA1/mAh7lf0wUFBSwmLBXoyL3hhVVr9pRAdbnRK7cvasvL4srkUNDadd6YmTuqaHARizwwtyOzfollhwDrBmr/Zcz6iblVqJCknbSobjeKd5oEse+REwR3Jb1x8jFKdsJFb4T2cjYUThYx/jy1hlFZgUR7ZVkIVTYuDyMaBqIiEXQam87X7oLkA9/ZuWgYxTt2QlE1FPbrH2sX6ztGdPi9AABPVnasXTyp0Gg8WIyo6MEgjICopG7FOlmEw5OVI1h16FypZYnXo6J98SK6rC6jjRQqmgYScy9TdxftJxIMwOV2Q3O7LNegrb4k/dzkZmcKLmpakohlXsbGtqonmPOwk0EKM9PWam8PkjeTBsJMDoKvGsHvRzLrBTF0gawJBeu5x/T/xnxPqOtRdEvxzw0o2Fq8DTohKCw0CVOEAG4F8GiqKc7MXZuIhGU3V6E2rQ/qcwZgoIOIa3dFV7s/JUfn6oDtz+gxBKwrwjAMaJqGAQMGpJSAdTZ4YVZBbkJV2c2Hnq8PhAAAmd6YFhH7Jc7dXBzcZfR6D0xLGtUSIoqLqeDT6/mAbXNe5hj0hkXdVrQ0DA0C560EodpKlqnWGmV1nvzwGYtWHUB/bGxn4kWheX1xLkiq90T7BCBkxiWK87KTLnMvzOtDVWXw9RVveJXBaNx8os1NQrwVEJMqMFr2EVEypbrdIDFXJaE1M5n7V2fkhI+NAqwYLhpMbydhLFYuFrvFrEUAALdV1JrLgoXLLXwGIsEg/JlZUGNZoKrbbcZdGTpTiDeiUaguF6utqGiWXATvslM0DbCRP3PP3FbfDvFzvJYWqxTgEB/I64bR9djjCin4z4SYrepcUxWwfojw7krqFuRlXMzXrf85wCRkAIEBhREvWiEjrBtwK841I/sffiQkUgwZA9ZpkASsAxGNRqFpGvJaUYi6O8JeVoioLjPglj8XK/9DwQfRByNRqFUlzM0EWPEkfFak2Y/NjRK7EWiqAp/bHJfeFAhHBujNWig0HLMy8BYEPSRmK/JzVl0eeLNzBSFNPj4NsNfaM2+m1F2ZSHIiGXgrCW9145/zxIwqp9slNwT3acxy5cnKiXOXurNyBHeoomrI9ZI4EVOnkkya1wc9RpLsri7AIhp8rU8XMYmU7pCZSd8fuL0szo8SC14GwS79QS1DejAYt8dW7KGV5UdV3SlJs2oumkQko3cuGqsrmQwGXQsAEELiyDNPlPj58dYktjbEWwv518zXw7Anq1CLnR4MQk3LYNmGfDveIsbWHwzCnZEJXg8v7seRzUplH5cYBtMUs1vNEPuf0xTzv18n1v9gWDegKQo0VXGMPZOQ6G7Iz89Hv3794Pf7UVlZieLiYkRsP7ZaA0nAOhCRSARerxcFBQWpnkqHIxQTiVQDjXClpSOkG/C5rS9rgH7Rm1IRRiQMNwB330IoqoZwfY2QVg843FQMS+dLUTVECQEM68teIfZYlzAjXhR2nSPTGmVav2g2nSUfEFOg18WSQE7xVLwLk7luXJ44i4S9vJC93h/vZuPb8xmPcedsQdGASNaodpS9Tz6uimlv8XIXXAYvtcjYy0XZH9v3V1ybqeNFLaFMzytWtiZCAKO2Er4+eeZ+RkJxBJyXsbDvmxGJQOXnqrqgNzcKmZj0eleaKZkhWKtiCNTVIi2nN1xeL3yZvRBsqGNzMPc0VkUBVrC8oqpC3BSf6EHbibFdHsFSR/eBZkICVryk3RVJ52+Auj5FYhVHDPXEpByAYKUihoEIAStmD5iuRH631VipMf48tTrzxIu5HhXROubRVIR1Ay6id2tpiZ4KRQbhO2LcuHGYM2cOTjnlFAwcKGrahcNhrF69Gi+//DIWL16MhoaGBL2IkASsAxEKhZCRkdFjLWAUBhR4FPOLN+zPQJgAXk0VrF9UuFGwmoSCgNsLA2b8DovHif2C5+UE6E2G3mho7JdOrC94orhAYN0MTAsKvVGKNyVeSZwXzeRv1prXn1C/C6CWs3iCxN+A+XHtpYOMaBjRQGPC7EZznyy3IwCoEJXk+fkJmWpM0kPU4wrX1wiZiqxfqg9FkyIIgREOsXbUDWiK7sbIhdOe2JIoKDFipCjm9oqoLmiqhq2NYRxs5kCYVjGvH5HGBkacabygHozFbHHFu+1yJnFFoiMhYe3218P1NfD1yYtzKTfXVsOdlg631wtfRgb0SBhRW1A6BRWGZZpYnLWL9httbhIsaDQI3l4km7or9VBQUPC362Exsqsq0BNIoNizF2m/1g8Cs3A9767XCYG9N961TC1dPGEL6wYjWjw0RYl7TTcIIroB6AZUztUpSVgXg+KcrLO/Yty4cXjggQdw7LHH4vvvv8dbb72Fb7/9FhUVFQgEAujduzcOOOAATJw4Effeey/uvfde3HfffXjwwQcRCoWS9i0JWAciGIs16dOnT4pn0jEwYs5GTVUA1SRPHoXEWUYUVYUBS9/LjGsy3T+IyUYQgCluMxdk1LIQ0JsHdaNpGb1iN6DYlzsRf2kb0UgsCiXWpyZaiVTYpC+4uJhooAl6KBBHjID4GzAlQ3wWI29h4q+363ZRt6GdxNE1UqLEZ70l6tM+T7t2GEsisFkEFU1DYM9OIf5L0TRWaodJKsTmwicmmJmG5j5Rd2ta/gBGsml2JGAROEXVsO2lewEAg2f/HkAYJfUBFKab66CEhr5XlJgTd2w9UGLyBg4EN2ZhsxMeCt7KZ0TC8PXJE/bCRRM2VA2NVRXIysuH5nIjPac3qnfsgOYT95onmjTWMFlMnz1pgFrPKEFlJDNm5dUNAs3lbPHja5Da47Ls46hujxgrR0kd76rnHlPyRP+fNEVxjPGjr9vbAjFyqIvX8NYxft8kJLoyPv74Yzz11FO4+uqrsWnTpqRtvV4vzjzzTNxyyy1QVRULFixI2l4SsA5EU5N50+ndu3eKZ9KxoGnsvIAiD17ry8wcjIhkiLMaAJaoKsvm424uzAJjRGEYAGJxYBoUIZ3eLj4pPLfF6ZhWCZE40SB5OueEWY1avPsvkaaZHfScpvlZ7UeiG4K0gR4KMKJGMx4pXP6MpDd808oSXw5HDwXwbmkQpw80rSy+vv2QP9wUuizd8C28Of2hev0weHdprEafBqDJMG+yGW4VTbt+BgBkDjsMiIQE5fSGTd8ie+R4cy6cFeeI2x81H9C/AKrLy1HbHEC2W0GEKIBuQAuZcUuCwK6qgBiEWS5pZiCFPdbK/tlKtF9MC4yTt6gvL0N2YX8oioL0Pn0QbDKtsYQQqDH3LK9TxyvfC0Q3FmtmvS/uOCsZEC+JwddaFGVXLOsRLUVEYudDtVVxWmxsjZpmWq9i7wUNiLe7CO1EKaLrUFVVIFfhWMgBf84gBCrXl5NlDABUVUUwHAF12g8cOMBxvhKpggLIIHyGAw88kAmrt4RQKITXXnsNr732Wqs8Xz2GgH300UepnkIcugoB66i9UQyTDQj1F9V4q5JwDScxwUsj8DcoSqRoYL0Kwm46Yd0AFA1uJeaGJAS6HrN+qS7mvrKDr5NIb3qTj5wARdMELSq7dcgpqDqub1vAvtMve8HyYXNF8o+1dFF81am9vewQDz7mjL4eqY+VT8rJha+PmXV2Vh84un0KRx4Rd65s8wZEaioYSWsLdn71MXs8cOJUxzalG75FqGI3cvrkA0YU9Uy8VUXfWAyUoprkQeXqfPIB+pHGejMuMNAEV1ZvIX7MbhGisL+fRiTMxFDpNeHmJnjTM+Dx+xFsagDRdUw+ckJcX+KPiQhL+NB8vrjPI+2bJ4/2Hy+UgFOCpLBxrExForqsHyqREIhbdE9TSzPtX7dZvCixAuJJV6JzQCx5xiZJoRsEk448krk0rWB7kdy5NS1hvz0ZXfH+lBDSBSmgteTLjvLy8hbb9BgC1hVBA/F69eqV4pm0LyrKyoQgXfply5OqnIJ+TI6CvxGwa2w3RLuFiboQjZj1i47h0ayyKTSzis5BUVVoMasBDfSncCohBIDF3fBin/bSQE5WJHuwP4WuBxKWGEpEpJjMgtfHLGHmdda+phWYVoKmnVvNfcjJjSMQVCaBzi/voENQsfVHePvks7qdFOU/bUL5T5tYnBYF70q1EwcqrOuk9ZXISsjvZ6JYn7R8c227quvRL8uPPl4NpU00ds0i3lqMdHs0FRECaBAlPzSfD6ruRrS+2tzjWAF1ak2ibm/qFucTJ+gazDWZ77fq9iAaDsObDigxyw5rw+mHsRiz2A8RzeczCQ+CcdYxJwiWL0Vjge18DBUjoDAzU7UM8TtFiPVyeay4SNWFxlAY6V6LmAUjUYSjOjyumJYeR8QA8/+KP6eqKguc59skA50rYBI5j6bGuSQlJLob+vTpg7S0NOyMaQECwBVXXIFRo0bhvffew9tvv92m/iQB60DU1ZlxMZmZmS207N6gZYAQO3JiplfqduID7/kafYAVyG0nZCwDDITLPrMIgaKqQso8nxZPn9tjvKj+k93VY/btYXpPrE+b+ro1lk053kaEnLIRFU0soM27ExVNNZXSHfS+ANMaYi9cTeftycph8Vd6KCBYsEo3fMvIVdnmDQkteJQwxmXHcTUJ7aV86JpaI6lBQXSdkTgxw9VgelCV20yCmVWzCw0bv0bkuLPgzshkhF+DGY/kVoBIzN1JY6fsWm9GJMI+b4nkD2gyiF38l4LtmaIIVipWTN4hI9Yp6J+/llphqS6aOa6BqMJJhti4Co23NOtUemAg5o4FP67K9NXYHFXxKz7CvV8mCbONYxiw71RzMAzN77XWorbOPcX+R7kOdUJgGAbSvR4hAUCiK6H9siB7GuX+17/+hV27duHaa68FAMybNw933XUXampqcM011+CCCy7Aa6+91ur+egwBGzduHABgzZo1KZ6JhZoa0/WTkZHRQsuORXvtTV1lBQDzlzn9dU7T5GFEhX/amj0lQtA9QLOwrNgYFmNlK5ljxXGJBbZpUV8nCMKtsaB9OjZ9TJXRqTvy22/M/Rg17GBBqJLCiguyBdW3IXA4UQFte4C/3SpGx3Sn92J9RBrrobg9LEMu76BD4sYr27whYeZmong0J5HODT/+DEXTMPpQcwx7bUYKwXVs062ya7k5kRXzuco+WxS5Q6aiOmbCr2psRnaa3wzspnpesXa0VBR16QmfmUgEaloGjOZGRBrr4cnKZlm2lMiYa4ovDE//Rnk3r6pCUTV8t2EDQAyMGTWauXpNq5nBfggQw4jFzREm10B0nZ1TNA0ujvgqqgrE/qd42GOomPWXEzRlex2NAByJiyoaNADpXk+clcvj0hCOmusMR3X4POK4tK3hQFzdisCpmCV67ffroSrAmFGjHMkVW5stNqyl0kQ9AV3x/pQQihhnuC/oaQRs/PjxWLRoEXt+1VVX4S9/+QvuuOMOPPLII7jpppv2TwLWFa1M1dXVAIC0tLSUzqO994aW+yGGdbPKKejHhFmpFQPgBBy5OC8qjsrHMvGkzIB1k2ale5gMQqZgzeDFL/ksSYvUReDOyEKksV6o62hEImgOBAEuHiVOS4tpT3kcCRoFLSvEshhjMVfePvmCzpe9DzZX/qYbKytE+2r4eT0AIH3wMLgzslD77acY9uvLhfHLNm8QnjvJVPCuRZ6IJXKtNodCUBSFWbnstQbtcMoKBJz1unjFetMCZBEX+sVfW14GJXYTHzpkcNKxedRVVjDpCs3nM2VJYvpa4fpaGP4MuI0o+4zRGCpTt876rFr7F4VhmLIJPp8fTTVVaGpqttatugC6npg8A10LYo9BA9a9vpg7Uby5UYJGsw3t5CUuwxcKEAqa9TUhuvtcRGdiqfRaJxJFEQxHkebzxJ2nawaANJ9J4Pj4Lf45nVtTU1PCGy4lXHRtTaEwsvze/UYPrCvenyTajt69e7OYsJEjR6KgoIARsjfeeAOzZs1qU389hoB1RVTFChr7/f4WWnZ98Kr3Qso7R0h4NxJ1Bylp8RmBTAsJVmYkhf2GzYPerFl/tqwzGkTN3IpcKRsqsipcSwgIMQRilMj07uSi4gVXmUXL0OHtk8/a2iGq6atcWR+LPOq6uXehMivOgLd28VYuu8q+/bz9dad1sf1I1IZzNSaK9UpUAscaRxXcdpTYUjJiJlxYlRAoiGGwzx5tm8xaQl+jhZtpT6Z1LPYesr65+dtIEVFdzNoaCYXg9fvh8sTWCDO0nFeAN7hgc7oWSjJ4YqUTAo1zJ8YuEMbmrUN2y5UBMz7LDecsQz7Y3h63ZSdiNAaMBx8bFgxHWOwYf6UBhZX+AsDkYFRFEQLsqagrTx5pUoHP446be08nYd0HCpAgXGF/R1VVFQYMMGNWjz/+eJSUlOCnn34CALjd7la75ykkAetAVFSYbhWv19tCy+4BKt5oPU9sFQIgFCoGwLSOKCgJ4xFtbhJijqj1iVpgeGtZmJhliNQMy3JhBk9bsTd29xpVhQfAtK74tolETil48sETRxqHBSR2J2pev2CJ4vcmWGHVz6RwZeWwzEG7lcsJ9vnaXX507wQXsM3SyK61BVnbg8/Z+VbEivDCnfaEBpY8oSowotFYn5wbzwZiGKjZU8LGtdcSpLAXbqYJIYAZpO4iXNkg1QVwiR782hpCEaTRRA9w8XLc/lDLlhO5YsTLIEL2oCAlkSDl360AVMaREhsm+8CVhFId7E78XOzgSRZgEi2fxx1H0PjAfbfDDZnOSRBrjT13ynSkVjMehmGgPqwjTQ8C6VmoKCvr1kW3ewIURSrhJ8KKFStw5513Ijc3FzfffDPeeOMN9tohhxyC7du3t6k/ScA6EDQN1eNJboXoTuC/7O0uu9ryMkQa64UYGgBMj4m3TPF1GVnfbrfg6uJdZDR2iz42IhFoAIhmpvLTAt+h2ioWIxVprBcKR9PyN4x0KPRmGC+dkciS46T7pKhanCYXb9HyZOWY84mRND7IXtFUhDNygV5m4sLAwVaJi9IN36J0w7csG5K3brVk2aL7xIuD2msn8uvh18zf3Pl+zDkkJl/OpZDcUA0jVsA6ZvVQXVBihZp1QkzNL8XSp7LPK+EYhi7EjiWzjFG3pOpyA7ohuA4Bk+xUNweRneY352dEsa2mEX0y0uCOka5wOLb/nAApSw5wEB71eeLlUHhrkN0t50RQKBoCQWT6zfeFVp2gsNy34rXBiHO8JA+3pgm/2p3mTOcoyFjEXI880bLrgAEmuQxGogkJXDiqI1N8KyQkuixuueUWvPjii7jnnnuwevVq3HXXXey1Cy+8EJ999lmb+pMErAOxZ88eAIDL1bO2mSpps4wwBz0qzetDuK4G3pzcGGEKM5cgX+DZSbMLACNodDz6l5Irzea2pNluqstjFXy2CVLyAfnJ1kbnluh1OwnjsyF5tXEa9G9Xuie6qbZP4aopRf/DjxTGKflODNZ10gVj67e5G41oGEY0HGeJS6TRZieTPOx1CAWZjgTXqC43QNXcORFePitPUVXovKxBjITwor5UB84axyLMLPaP06Dj3eR2yxjRrc+sC4CquaG7vTFLkYXaZvO96pNhxm32zsk2CQ4hCDQ1CW2dpBgoSaGuPxWEeRhZzJTNMhXWDcc4LT5+DDCtRW7N/AlErWl0DqwqBeLJoBlk70YwHIHHpcHj0hxdJS25T5xIF31unz89byeBtA8+xoxHczDMSHVPD8zvypAWMAsulwvRmHW+vLwcJ598smO7E088kVW/aXXf+zw7iYTYvXs3AJEspBr0JtUQirRJgZp3IwJWrE60uQm5Q4aydlSp3iwH43EkZ6KGlpVdB1jWFj7wO05p3qEUjV31PBpocnQnUrkJO+KEU5PoftHXeTcpYNYWpHtAr3HSC6Pky066Sjd8a/WvGxahQlg4D9jIpEtco/m66OrkLYhUkDbRWu3rdCrZRNfHg1eTB6z4Pp4wqTE9K90gzDoCAHosk46XGtEJATgRUkvGQTXd0rSkVSyLkA/id8qs0w0CBcD2mkYc0DcHiITg0jQoijmn7DS/qcafZu5d/9694I19BiPhEDTOZR2NEQ5eq4uSId5dGCHE1C/TdfjcLug6EVTkm0LhhFYnujeGYSA7zc8kJIjqgi+WBakTAtWgUWnWdabafBTZ6aI1MxzVke71xLkIeUJErXp24VY77MkBgGkF0wlhbk2+raqqMAxD+D70uDToqoqgoSDd1tf+kB3ZJaFIJXweVVVVePfdd/Hf//4X77zzTsJC260twM2jxxCwkpKSlht1Mvg50S+fVM9jXxFtbhLS+SlJqtlTIrgLaRtqxbKKENsKEHPQQ0FT/4sWyIZFbvh+qMwETwA0n8/U+or1QUkQnY/qdiMaaBKKU/ftY1YocCIgvDXJLk3BnrvAtMNUlwfe7FyBGPLFommmpDu9FzSvn5FWSroIZ+mgj3lrHc2UVDQVRDfMeXFB/HTOTmWQzOtEEsWscYYuEFr6/uT17cutVxTdtZNquzuTd2E6VUjgXxOU2A3L1cVIjKqA/tswghcjUkAsDtBBlV1TFRaI3zc/H/nDR6K6vJwRPDqvkvoA+mdnMNd67zQfDFiEg86vsSnArF95eX0RiXJ6WhyhovM2DANwUJnniU4kgd/NLoJK4dY0hDg3pWkR0wAQ1pfGZUBmctpdlBDxhMlOnnhhY7MvhZFavuaqE9yahty+feNckNRKZ7+OliPyuDTH70XqtqwuL0fvVpR06eroivcnidbhyiuvxJlnnoknnngCPp8PH3/8Md544w0sXboUpaWl+9Q3X6+4W2L16tWYMCG+NEhXgWEYUBQFhYWFzCWZSuytBQywlNDtN9jsvHwxyJkTPFVdbkF8tSUiRgPwBVmKWLFiIBakz42fqC9qIaHneHcZbylyEhJ1yujjdbl48G3schS0H5qMsKvOlC8YPfwgAGI2I0/AFIdfn/zrbF0JXJH2rEV7GaVEsVt28kSvF+chvjd296ZdYoGvz0lv5nxMEG8tohYVahXiLTF8OSq+HwBCX8wa5VDnkN7Iy2JfmvmFhQDMrF1axJv404VrsnKyobncCIVCCNbXMSV+2rc9SxGwsg3pjy4hizH2nCcdNCieroMnZvy1lLDwQfRuTUNDIARfTFHVSdHerWlCPUe75YpZ5zgJDD4hgRKwltbKv4+UHDrGilHrIbcO+jgYjkJVFWE/egIB21d05n2uqXQHfnzxkXbpKzLtvC59f24LXC4XTjzxRJx55pn45S9/iYKCAnz99dd444038MYbb7RYqNsJ0s7YwaBfNjR1tasgkdujLSCGwVyTRHWxQ03L4OKfgsw6RYkS/Utr5lFyRa1bgEniKPkCLKLkSks348NCQaEv6u7i3ZbRQBOzevFxS4qqQQ8FoIcC0Lx+dq3q9rDAf7tVTPP64fJngBg6i7Gi4yiqhkDZTkTqaxCpr0GougxGNIxooBG1cCOnoB9yCvph9PCDMHr4QSjd8C3LarQH05vCnhEQ3bBKEem0/mGMkISCgnXMHqRP94PCyeUoSDDEgvpN4dQIO+xkjPZrT4gw90F1FG80rWsGs6AY0Qi7MVOiEQyLxbYB80YejEQZ+QIsSxN1N3o1NY7IGdEI64MSuIiuI6LrqCgrQ0VZGfILCxn5AoDcIUNFGQlC0Dsvz7zxx3gDH8eZzBpE/9/dmmXZoTFPAJj4qRNof3xgfHMwLJC1YNiKqQpH9Thl+5bQFIp3vycK/Gf96kactS6RNT+RhUxTFATDkTirm6qqsb0iwtokUgmFfa/t69GTEI1GsWzZMlx99dUYMGAApkyZgqKiIsyaNQvr16/Hpk2bcO+992LixImt7rPHELDMzMwuKXZHg/cKCgpSNgd+byLEKnPCBy23hIqtP7LHeiiISGMDc0VV794JREJAJMSKZwMQyJPm9bHn9AZPX6MuQkAkUk7xYdHmJtZfNNDE+qKEjXdVUpJFyQVgkQ/N60eIqGhsbIhlMaYzwuHyp8PlT4/7ErHrhRFDR6SpDpGmOnh757PDld4LRDdQOPIIHDx0iLCPieQkFE01XYpudyxLVBVeM2OoDKEt/zoguiAFS5UDoUz0JUnHbw6HUV9XK7xH9HBSwhf12Yy4c+y1mItMUxRmCfK4xALNVP4gHNU5vTmV6WkFI1FGmCK6LpA2Oi4lSXbi4NHiVfcBM/i+Hhr65uejb75p0Q02N0Fzu0EIQThgia82NjU5xnvw5IuOG47qjPTwRJMnS7wkBD/fYDgquBH5H028JUptoaSPTgjcmhavss/teVg3zP9hDhEChDjLa7IgfcMw0NDQgKYmK7kkousIhiOMAPOgZIvfEwpq5SutbUBpbdvjaroiuur9SWLvsXLlStx2220YMWIERo4cieeeew5Tp05tUyZkjyFg48aNY+UeuhIiMRKRSgK2r3tDyZceq71HrUROtQVDuukeonIUrHRMzA1IpSB4KxgAZtXii2VrPh8jYqwuIa9/xMUxaT6fYL3SQ0G4/BnQvH7LzcfFqCmqhg1bfsL6zVvMpIGYtQwwJQsijfUwImEWy8VnN1JEGutBdIPFdVHLmKKp6DdG3G9a/JqCttVDQcG9SK1RqsvDrGEUyYLl+QzLRLCTLrpX/EH3ev2mzVj/w2b23thdmPQcJb7m9UYsNk9l/VNoqsJIk06sGK9wVEc4qqM5aL5HvHBoutcDAwqzeNF+WJkc2l8soB+wCJ4KK9jdiTjUVVYwi9jGZ+5z3C9P7LP24osvIhIKMVmR79avx8YffrBZpqz3iSdfAGAYRHjMW8P4ckD0PA1it/q2LEOqqsCwBcRTAme68CKsHydrl2HEux956Ia5b4aDhphjWSLOWrfxhx+wYePGuDYUPo+bjWdX38/kopHpnowcdiBGDjswYX/dCV31/uQIBYCqtc+xn2Dz5s249957MXny5DZ5u3pMEH5XRTAYREZGBvr27VrZPLSOY1sRrquBp1dOTHeLCnxaMVoeEEayXP70OPJEg+cpIWNkgLOS8WKttFixOY44F6rtBVhxZ2xOtvgonnyZfYUFIVZ7oD0Paunj3W6a1w9PVg4jUjxx5MlX+U+bBFLEz0t1eYT/QD0UZCr4dB406J4JyVKioRuOsWKJYr6c3I7scSwuz7IO+kyhUWKIcV7U/cgTKxqzxwXy66Eg4PZa2YsxIVY+9sgwDBbvYxgEPo/LWdYhJttgQGEB+rwCPHWf1QdCLMg8pJvuSfo6b+nh48MAy2oW/OBVYdy+AwYx3a+7774bs2bNQsXWHx1JiNM5k5TY3XbWPPhajHQf6OP6YAjZaT74PC40BEKx85E45XpePNXufqSWRX4fIxHux4MtnktTlFidyvh1xSnoayp023tFx4/qJpn2cVW+VVVFczDMYrv4PQBMouhxucAKpkqkGIrjj2sJE5qmYfLkyRg4cCB8thJthBA899xzre5LErAOBtUF6dOnT4pnYoLWcTSieqvLfliyClYMkhn87mF6VxSUvLgzsgTiYVqlxDgs+jgaCDOLD2AFrVP9MJ4QUcsZje3ir6OvG5EIVJcHeigQVwuRD1AHIVA0l2McFssK5MoM8TITfJtwTSW7dsCEKeyxKCthWQP5vsW4LTUuGN8uVGv2ZcWGKZoqCLuqiPUZFV2SfCUAfg6UDJt9c0KohLDXNM6tmajkkF04VVUVQI25laMRBHVFIBoel4Y0nweGYTBLDU8KKDHi47jAqXDxQfY8wTJv5qashKZYgflBp0y7WKmdPqfNBAAhLuzYY4+FoiiIRqPYvNm0BPYdejAA4O3//Q+EELiNKHY3hpCXlR5HhnweVSBZNMDcHDfKCApPynhLV0S3AtR1YkCFZeXiyZZd1d5uHTPPWYkAPo9L2C/qLuXjwHh5EH4cXhmfgvblcWnQbYkF1rrj3YxOyQgA0BgKI69XBjRFYckSgPjeSEikCkcccQT++9//YsCAAXHVQgBJwLocmpvN2JHevXuneCYikrmqeNDMR8AiXq60dOFGrLosS5S9X8vV6DAHm6CpPeib6nolypjkyZdlfbHpg8VIDs1idPkzYgH6jYCisDgue+YiEG85ookF5pysuDKedFFQ8kUtYyzGy0VlKSxJDJ4AUgsYi+tyuwVSxr9myVXw9SU1aJqfC46Pt+zZBVT5wuhmv5SgGkJZKObidYgD40samYkKEasotE11nhIGPmaKkjOfxyJcNDOPtrHDRXREYQa70/goniRQi1tYN1jRaTNmzCW4+wDAq6ksJjI7Lx+HHGLW3qT/v3YoUYcPNAfLekQY6fR5XDFXI2F/+fMAEI6t21qDGIBPiVui2ClK4niZBzofe/ZkRNeFGo/UPRixfTXY1fLNeYmZjhSaqjrGpFFLJ30f7MSLnuctZxRNoTAqysrYNZKMdSxkKaLEeOKJJ9DY2Ijp06dj06ZNzEq+t5AErIPR2GhKE3QVArY3xW4p4eCzBKkIK9F1BKvKzTqHPh87D1jki8/Yo25GPouQb2tEIjACTczKRG/uvIuPzSsaZm5O+ty02lBxVg+ThvBm5wrtVJcHiAl9UguSXRuLrt2aux9wicr8fJFsACzOi5Iiu5vQiIYtl6JuWFmPkTBUrqC3nSTx1jH+sV2ewk6A+dqZPEmif83xAcTcyIxs0YB2jnxRWMRYtIZRMm79NaxyQ7CCxWn2nqao0ImBQDgKv8fFrDwUVCGez3TkC1sDMe0qjgTYpSyAeFcate7YBUlpwHlZaSn+FfsVyweVU9z/wAMAgNcXv4D+GV5EYJYK4sGTIUAkTzxByU73sfn4PC6EAzE9L4V3D6qCZYsndbRv+3MaY0WJHh3bJHqWdcqcj4qGQAiZfi8jYU4SGoCYpcpTqHBUh6aqghUMMMmTpsSTMt797ETYapsDjhY3wHx/JAnrYLSxqPT+ghEjRuDcc8/Fu+++2y79SQLWwaDZUr169WqhZdeGnRDwlimqQk9BiRh1WdIbNp/VaBcANSIWCePLCdFrqE4TbUMLe/O6X7wViwbQqy4PooEmBCpMdwYtT8RcfzFXW6LYMZ54JNMPK/9pk2CJsrs17XpfxNBBaI1Gt4eRL2ops1u9nIRaaXtehsI+rlVE2xMXf8a7HWnsnVAaSlEdY0HMJAqP8Jmw3k+D6X5FCGAYlluRd3VR8sUTDcMgaA6GGXmgVhteeJS6Q8O6wURHeeV1XoGdtjddghYBoW483qpmDzq/4frrAQD19fVx66fo3X8gAEtXjCeGdM31wRDSvW5oispZp8RAekpSKLLT/WgOhhEMR5lEAwXvfrS7DnnCl0gmgic8lQ3NyPB6hIB4Srz46+k4vFgubRvR9bj4M34c+/xV1ZSjSJa5SRMy7KDE3a1p2LlzV5t1DCUk9hVbtmxBenp6yw1bCUlzOxh1dWYB5qysrBZadk307j9QkDbgywzxbjQjYgaiRxrrGZmJNDYwrTAa5G1EIogGmpieFsCTuggjZxT0OW8B4wP1Vbeb6Xzx+lyq28M0vtwZWeyg2XvUFUndkLQP5hLlMh/pHKPNTWwe+cNHIn/4SABirBeVvqBz4ecEcO7DGPnS0tIt618oAJ3bq2RZj3Y3pKWUH5+xyJMylz89Lm6OJUnwhdAdrGV2y5lTO6c582SCj21K93qgqgpyM9OYtSPT740T9+Q1w5pCYeb+ogHqFLxbzh6wnkxCgZIYt6Yhv7AQTaEw1Ni56urqhNcBwNoftrC10L88mbKj0ZaZaGVqKqjn1sO7Hu2oaQ7YxFpFMmPPMDRJD0/OiGOsWFNI1BxzUuOnc47ouiPJSyAD5jhPCic9OIpgOApNUROSMokOgKJYZcT28ehpuP322zFv3jwMHDiwXfrrMRawNWvWpHoKjqipMQO325M1txX7ujfUbUnlKGiQPHW/7V67CoDp5gMslyW1WvHgLV+UCIguv0hMKNXMltR8PhZ7xRfo5l2WdqsPzY6k/UYa61kiAZ/ROHLYQdY1XOkhQLR8harM2CBPdi4jXRRWKSFdjOUKibFccXsQiyETrFluTxyRsQe3831S65ddsd9elJuRTYgxdLRsEyCSLyMSwagRh8a9N/Y52V8391EU+A1HdWbxMQzC4r0A84bPP1fVeMV03k2mKYpgbeFv6NTi4nFpLOjebj3jQa1kTpmXgOWCraiI1wxrzf8TJQzZaT7OrWeNxVvBeCuWpiqCO9NuPeK1wDL9PpZdCMDRosjHl/k8bpTXNSKvV4ZAaBoCwTjSyKvnUzhlYtJxVFXBgQcd7HjeiXjR15yIpqoqCEeSMLluiK56f0oEGQPmjPfeew/Tpk3Djz/+iC1btrD7OwUhBNOmTWt1fz2GgO1NIczOAP0FnZaWlrI5tNfesHgtl1sokssXlaZB+3zxbl4iwm45sUMPBUxVepdVA5IPEucFWwEzJZiNFZO5oIH4AFiWZqSxnpEN0wKWDjcgWJsoOePHJ4YOX1+TgNIsOAre8hXvukxcTsgpsJ66JAlMIsb6cdinuKB8Lk7MaS72ZAenfinBjcbi7+jPBdXl5gpeOwfxm4/N8jw8FaYWDbu1RSex4G3deo3epKkLkrofzeutmCaaVedxafC4RJKQ7jWD7IORKLu2IRBirjCabUmzFHnXGi3bU1ZaCgMK3LHP2THHHoudO3cBAHN58f9PWmzs8vom+Nwu1AdC0FQFmqIizeeJs+r4PS5uXAO1TQH43C7UNgehKgr8MVdpZWMA6R43Mrwe1DQHkOX3shg5nrCl+TxwK2ZpMQona5GdBOnEQGG6Bw1R8XWnzETDMGCnSU6q9WmxH2YRXY/JhTj/j9vj4yj5o0H6iSxlZt1IwlzN3ckN2VXvTxJtwx/+8AfccsstqKioQH19PfRWJrMlgnRBdjAqK02JAr/fn+KZtB948hUHt1fQE4o01jP3npN0Af830lQHzetn8Uq8YCsV/KTQg0HBJUgD9l1p6YJ1xl7CiBI3qqIP8IkAnjjyRf/ayRdfSoi3fNESQlT/jD5ncVoxN6OjMr3bA8XtMYkYtdQ5iKXa9zKRq5InavbSSfZraAyfUMRcdTlqxTmRQl6fix7pXk9M5d5gN1WejJlB8Gb/vGsyGI7E3eCbg2FGoHirGG3PZ8/Ra+lYlKjRceg1AJgbk8YyBcNR9O2bCyVWPqi2rp7Nray0VJBGAEwLl13w1K1p6OU39zPL7xUIBkUi9fudNQ3I9FvWSLvLsrbJijO0B/6X1TfHWdnscWFZfm8cQXNrGiO0ffPzhdf4tjR2zinmKxhxJk6mqzKxNSuZu5ZHMpesRDtD6bxSRLfeeitWrVqFuro6lJeX480338TIkaKX4dlnnwUhRDi+/PLLjlp9Utx444148skn0a9fP0yZMgXHH3983NEW9BgCNmzYMAwbNizV04hDeXk5AMDr9bbQsuPQXnuTO2QococMTfg6r/QOWCKdvFCnERHJmOluDCDSZMbK0df42oQ0ZozWQKSK9Xz8keryMELGu8XiFNxVSwds67ZibCsptWLIImHBfUf7sWc68uWEqJuP1VOMBdE7xUQpmmrGfHHZjizonm8XI2JOEL7gbFY2O9nTvD6mh8bPl66LT2jgyarqcqN4x05s277NcQ48DCistJXO3Wh1QtAUCrMAc8Mg7CaqKVbwNr0BCwHxtG5kzG3Jk7dgOMpIRUMgiMoGUybCXheR9uF04xbjyQwEwxFGonweFyN2tdXVbF6UeISjOvt/WrXe/LzvrGlAdpqPtQOAdbtF12XY4ZeyWR4oRiYVBRlc1p/f7UJTjCRm+eO/O/i9rmgMOLoGKeoDIUcS1BB1jsuia6aZhuX1TTFXsl2KwmAHAOzYsR07duyApqimaK7D3vNVAZzAJDvciZ0zPCmk1smujq56f0oIJ1X7vTlawLRp0/D444/jqKOOwvHHH49oNIoVK1YgJydHaLd8+XIUFBSw47TTTuuolSdFWloalixZkjDJpa3oMS7Ifv1MN9GWLVtSPBMRZWWx+CGP8w21M9Bee0NjwOzWIB7R+mqbyronRp5MEkBL9vC/kFz+DADONQs1rw+q2y2QrkSiojyp4/un5M7q0yRAZeXlUDQXBuX1YS44UyYipuodaBLcq4DldhQzIg3oetByAdosa3w7vo6jEQpAj4QFssVnRhJOAkNxEEB1qgnJZzvyxJDC5U8XykOZGxSJy2QtK68AiIEDBg4Q9tkivbFxY6VtaOwWfez0BUUzH3WDwOd2CSRJhWldoTdtGoPkRN7oY0pCgpEotFj8F40rs2cZ0j4p7LIO9nMAoHk8QDAE3SBwa9br9913Px5++G9CW164NMNtvSdh3UCm34uqxmb4PC6L6Lmt2CyeTPXrlcGsXDlpPmT5veya+kCIkUe7lhpFbbP53mb5nH/w0et4HbJ0rwe1zQGWXdg7Lw8AUFFWFmdlo/sU5mpwUpSVV0BVFAwaNEg4H9Z1aERJaO3i33MnqKoCFc7vbXdBV70/OULpPCX8U045RXg+c+ZM1NXV4eijj8b//vc/dj4UCrF7aSrx7rvvYvLkySgqKmqX/noMAeuq2LNnDwCw9PmegOrdO1kKPmARMzsR4gPwqTREMuIExMsl2EsW8XFaTpl4VDmff82d3ou5NymoVY6mbfElfJRYXFki8kXnCYgaZywjUdVghAJCPBeJES2BxDgQL3qeJ2I8+HYkZgVjwfgxImiuJyZP4YIgGkuTGywJEV5OwipPRQwdquYSCJc593hdKEogeCJGyQW96doDxClhCUaiUBUFuosIVo9gJAqf28VIGO2LEjg6dpbfy/qi8VeJQMmL001cNwg0zSRr6c0BpKenISM9HRVVNexaTVER1nUYhOD6G25k1w7NzbbmEAyjX5b5OeMlNfpkpKF3Xp5QCLw+EML2mnoc3DcHGZw71ud2oaY5yPajrL4ZA3IyEeBK9dAi79QlWlrbAL9bw+jhZmLJ9u07YRgEgwcPxIYtPwvSHhQ+j8sxlqu6vBw7qmrjzjsF61PpDXu8Fz2vKSp0JLZ4JQOfwJEoLswwCLZv34nBg9snK00itcjMzISmaXHB7VOmTEFZWRlqa2vx8ccfY+7cuY4JMh2Nhx9+mCndL1u2LG6eAFBcXNzq/iQB62Ds3r0bQPcmYPSmEa6vjXutoqwMaDK1knjrCmC3mGjQvH5OoNQmE2DPQrSRKF5ewt63MF6MmEWbm1gdSZqh6CRSqnq8bAwe9mLaPPli18cKb1PoVPXe5kJUVA2K1x+XRSiskSNdAsniSKuTa9JJnBUQ60xS96rm9TtKflgxc4ZghaSEyzxvMHFVOwnjRVABMXuRWlrojTsQjiZ0l1FLFq+nBYBZW9jfqC6QLZ4EmvFnUXhiQe4UPHkLhEOCu8/uKmtoakJ6ehrLhKTj8O1URUF+ZrpQGoi221Reh6lHjML27TvRHAwL5ICPn9yw5Wdh3KZYID0lXrz1q7SuEeked5w7MpEgKT/myGEHmv+nHPjSSRT2MkfU1ZfuFTNbAZNQNoXC0A2uULiiQDeMhPFaNPmiPSxYyUiZxL5BQfsp4efm5mL16tXs+cKFC/HUU08lbP/II4/g22+/FWK8li1bhtdffx3FxcUYMmQIFixYgA8//BDjxo3bZyX6tuLzzz8HAPz5z3/Gn/70J8c2LlfraZUkYB0MagFTFAUulwvRaPctOOvJygYgWn3sSJRpR8v9JCJedtg1wqiAajTQFHdNqKoMnhxTAiPa3ATN64tlRAbw/+x9e3wcV3n2M3NmZnd2V6u7ZEu+xbc4ce6JCUkgBAqUawq0odyhfDTQlAbKB5QCKYHSr1BKSgspFEJLoBCgTaGBQkJCIASSkKuT2EkcX+KrZNm6rnZ3di7nzPfHmffMmdXKthzHsV29/uknaXd25sxorXn0vM/7PCIM4ZRTPUGGbUvAl27dkO/umzFkMPSIHCFX0T96YLbmx2XmXMl86QAqOZ7SfRHIannWM9kv3SFf7ZP2P9vzmscaacDsYnsL9tGeEVk0s73bPHFpZlpmQGrlkDrem0rkThOJInnOS5giutlTK64RRijnc5IpIxBmxBkGhUxUdQBH04OOxVKgJGIlXnc1cT5N5umtTnqc9F2OxZBzsmxRxnlfu+nTPsi/y3UsrOlLDZcPxsqsXb1Cfb1jx67Mc52FfPPmR6Ra+aFNe36G2ZpMpi71IgsRnZEE0uvRSuMGQP089dZxcx0IlBHQCmfZ/3w9Q3WEANjo6CjWrVt3SNt+/vOfx/Oe9zw873nPy/xx8L3vfU99vWHDBjzwwAPYsWMHXvnKV+IHP/jBEVnnodY73/lOxAcyu5tjzQOwZ7iEEDLY2DCwYMEC7N59fIhGW1XAhczfS/RYE3uHZFOkWIbDTIhIxggBaTvQtLMicGrzZSYHW7QigWzWY+RpbckoyAAJp7NHHU/3+yL9kx7HQ2uQX2SjiLjvzQBfwxsfUu29ZvNT+rpZQE8AiYARgTJisITvzfoXpmpVapOQdD1V6eya7WRYq4xdBLUgExBm2k4GmMnrFKoYItXCJeNdSJG9iVgxYbPZMx1IlOpYbEa4Mz3OzFR8TgwXASKHMQWkHIspEAcgA+roezcTtyOLwFM1CekGksk8P4ZJgd8JqFMgLPHa0kfMKS4JACIukvBpOWjgOhaWL1s66/kfqIgFW7p0MR7dtAV9ZfmHRiOMMDw5DZsxlPMOym5OeYA1TyoeSjW/hgCfDhJHhoczQKjqByjlHPWZKuD8gNONaUu6NehSj4nDnwFrztc8niwp5mtmXXPNNXjDG96AF77whQdt4Q0PD2P37t1YtWp2LfIzVddff/0R3d8JMwV5LBf9Il94nOaXBZVJBJVJWPHMv0KtmMM2UqbEclMbCD0Gh6monaQF1sKaotl1vZW9gg68aFrScouIvKoCZmG1orRc5IZPFVYriLyafEzLO9z+1b/GwrVnZ45FU50GM9VEIX0/G+gBkAFawvdSgJmAqoPR+63E9wBmhJUrpqyJvaLjsVw+zYFsYh4VM2fbiS9Zcj1JL0aid43xMUwTDpOGqPoHVWoLEUGIOAm+li3Dcj6HYs5GT8lVwIsmJJtv0iSoJ9BEwClvSxG7DuZM7fheEMELIgXMFOumtT0DzpVrvd4m1bdXAKKFriltdco11/wQXMTYvG075lKPbtqipihLOQcjw8MKfPUvXKg0Xo7FMuDnSNXSpYtnMHT9Cxdi6dLFYIYJr4U2TDeBba6aH0hmcTZQFmdzOPUidutgrcnjVYB/3JVhpNPcT/PjUOoLX/gC3vSmN+FFL3oRNm3adNDtu7u7MTg4iOEmS5jjsU4YBuxYNrqLogiWZalJmKNdT+fa7Nq1Gwglg0WmqM22DAIGEMo2DDnZA0DkVaULexP7ZNpZB/zZgAwBLKrm9hhZWHDfg+WWVOuNvMCk+Wo2TJoYsqheQ56ZMG0bO77+/2acN1lNsJyb5lKq2KUw48Svr12Qxk3Taxm01iQYnMrMuS3blZlroLUbI682I6qp2bxVau3yaq1RPQ02nzEl2vRz0TVyxVIJhmFIc9XkFylPQJWZADEge0PVWTAdVOktQ8VuWQzFhF0hY1LHYgosESgikb6IJWPFZokUch0rAxqENgxAX9O+9PXQfuk8RBxjYqqCtmIBlmVh+dLFmJicwvDouNpHzs3DQNaVn5kGtm3fMSsTRkyX61hpy9K2FKvWCKJMG2/b9h0ZMBNyDkccfR3pyHQNRcduqbei9Sqnfc3rsBloNQ9HcBGr1vKBBidIhD/bhCQwM3bqWKxj+f7Uqo6WE/6XvvQlvPWtb8VrXvMaTExMoD9haqvVKmq1GorFIq6++mrceOONGB4exrJly/C3f/u32Ldv31FrP37hC1/A3/7t385pCvO1r30tHMfJtE9b1QkDwI7lqIcwDJHP59GXjHcf7Xq616Zhu2q0PuZcTUF2LhjAeOJzRkXWB81sDZDkFKr2GJ/ByqjtNNG9znQ1i/J1lo3aZ1Qx5xkGiMAF9xsqF/L0U9ZIUf8pV2esNfR4IR106b+U9EgfWieBr2a9F5DVfBHwIoE9rV8HZM02FKT1irlQQI+ii4TW4qVzpHO3S2UZTB4F2SlQYuV4FqBKcGbizNNPVwAgFgICcsKRdEABUsClB1xn1pHYTTAjyyxRkR5LLxHHaIQRvDCCa1vqc3a/AhypC72IY+UcT8/Tc5VGgFLOxkRiz1B07MwEJpBMOJomzMQNf7pWx8joOPp7umCaJro6O+CHEfZPTIKZJpavXK22JTaNwN/GJ7dmtF1UT+ybwAtXL8Fk3cuASC5ieFHa4muEEXbf92vQT55asc9GlXKO8iID5BQktXTJ+V+vBUtPQtGxWwIqXUc3G0s2lyLQTu+9Y72O5fvTs1l/+qd/CgC4/fbbM49fffXV+OQnPwnOOU4//XS87W1vQ0dHB4aHh/GLX/wCr3/961GtVlvt8ojX8uXLsW3bNvzoRz/Ct7/9bfzmN7+ZkRFrGAbOOOMMvPrVr8Zb3vIWdHR04K1vfetB933CALBjuRqNBtra2hS6Px6L8iApakhVwnzBzsEQEexSWUUPUbUyJTWbpgT1z2oby8k8TkCCsg31/RFQsktlNMYkKKQMSf15lssrnROZqDa3HvXtaR2ZzEYN9LAkfoXXazPE8HrpOjfuVTPnptztiT0z2axtSP0xnf3S2UGd+idQSgxhq2tNGZtkyErFknghxkwYUQgYuo9WluFKY4PiDPtFLSNiSwhcicSo1WYMXigBUM0PVDh1cynxvnZuBM5UOzABCw4z4YVR0jIU4EKyeAEXqAWyZVjK2QqoBVzANU2tBSkwMjaO8YlJLF+6CPlcDgv7elBv+Kh5CRucrIFAHLF0feUiRoaH1XTixie3YrhSw1QjwJZ94wok9pWL2LZ/UoGYicSHi6rmh5n2qh6l9EwXtSZ37NiFnpKL0aqHWhCip9T6/S3iWIJKPrOVDMw++do80HBAnzDR2s5kvp6BMowjJsI/+KEOPMnaaDRmeIUd7br00kvx/Oc/Hx/84Adx4403wjRNDA0NYf/+/fB9H52dnVi8eDHy+TyGh4fxta99Df/wD/9wSKznPAA7CtVIAEl3d/cR3/fkPkmLdvQ9M+COhK0zgFeLigwGFgUqDJtKtRq1NpdpS5aMBP2ABrQ0I1GdKTMYA2NuSyNWam3q7E8z+KLKdfYgqEyA5dwZ7dThjQ9lvMh0by39fHTgpdagietbmcPqn1uK5ptsKoAmr7Cm1mPm6yaQJqIAiFLTWV1cr4NX8mejgHUgaSkDYIACLo5lA1woFqw5NBuQQGx0up5GCoURGmEELgS8kMO15ePNjFar4iLGlOcnYneRTC7GcFjCOGn7Q7JOZkrgpZ5jQNUXCLi0n3Bthqofgpkmqn6ofU/MjMi0XAWALTt2Y83ypbAsCyctHsCDj2/OgEB6HTFy2/ZPqsfvfuTxWc4tBSp6i7Ts5jA8VUU1140SUm1U1Q9auuE/G7VtVLKAS7vK0jOthT6NGeYBnewPVnOxmKB0hELewf6RkcMaUJivmXW0WpDHS91555248847sWDBArz0pS/F+eefj4GBAeTzeWzbtg3f/va38atf/Qp33nnnnKYkTxgARgnkv/zlL5/VdbSqel3GpXR1dT0rxz/S10Y3YaWvyYyVA8oGQoRhppUIpK0uihZq1nzpbUSWcxGbWaE+970MsCJrC/L/UhOXUboPEySel6DMn5D5nH/47j/FJZdcoq7LnvX3qv0CWa0XMWApmEyCtRN/LwOaxUQTuKJ2KdVsAwatKgMyaZKyyVcsy2aZyu+ruc2oa7wMM2W99J9JbMpfCXffey+YYeCC85+jMh6FEDBNM+N0rzuq17RpOTMR3xO4YKahgBEBMgCYagTJtGOIgMt2m2szBBBgLW4CBKYkiGEKNAGAm7T2pGeYBFI0rUivBSQAciym1uOFPAOKAAJ48jWbtu/EqStOksBjYT9uv/3nAIDTzjhLvY6CyEuJZ9bI8DC27Z/EaM2DzUz0FPMIIq4YsNHpOnpKLoKIo69czLBb/eUCvCBSLJuIYzWMcLRYMEAyYdu27wAArOyj310zjSeLORsVz8dTT2yEAQPna7YDNmPg1sxhCL304O4DiexN08BE1UdnwT2gJuxYrGP5/jRfh1579+7FN7/5TXzzm988Ivub53KPQlGvuqOj49ldyFEqYqKaQQZpwJpd7Zu3oc8UIaTrxnQvMf1rAhcs5yrWRzdfFVEgfcGStmP/ydnA11T3lWYpEtAiN36doaIPXViv9Go5VwEz3XSVWEDdIoOO0wzKMmxYMixgakaq+usya+JCgtRMZBFLPw7AwJmW1O8QIxQLrib/mGkoVqMRhCq4Wo8T4trX1JojgOLalgI7BL6aazatU8Czmi7aZ9UPJXBL2p9TibidvvdCPsOSQk5gznTzl59NdTy9oohj3/gkAKC3sx2mYSDiKaij7em8uBDKmV6vWhCiFoTqOENT1YyVxli1PsP/ayTJugSAbfsnsWviwG2NX6/fiPWPP4n1jz/9yJsdO3aho+Bq4CutRhi1Zr80w9zZWoX6z6TVtKVeecc+5JZjvRHM8FObr8OoJIroSHzM14HrhGHAjuWqVKRT/DMBwJ6p1mNz6axXq+pdvgoTe4fU91ahiLBaSSwism1G7nsZ1kr3DNNZGgJSzUBOF8ebyIKwZp8rakk2huRf8vmBpSj0L8LQIw/gTVf+XwCp0SodS2e4Dlak+9KBGGm8WjFdlIWpe5k1Z2OS6z1V8wAAIJmuVpmTGesJDegyjTGj56T318xomZofpJObcZL1mICreiNQk2kUZcNjgWLOQc0PlG+XXl7IUcrRJKUEU1wIlHI2+ssFjFa9jDBbZ6RoW95E68t2JFPbVRoBio6t9uOFkbLIIP0Zif4bCRMlmTi6cBLAEYMVIGmrJu3Gp4ZG0NPZDmaaKJdKGJuqKF1aEHG0u7lEd5a+b2zG0FN0sXb1Ctzx0AbtGguY2s1px9iUOhZp5Oj7zkIeeTudnASQAVdnnbIa6x9/EmU3h4rno+qnovmR4WHFmNF05vrHnwQzTeVur09tbt62HY0wUnFGVDU/UMdf1deJbaPZbFUviGAzBmuWCVV9IvJAQdxAOvV4KEWM4MFA3HzNtY6eBux/e80DsKNQU1PyF1ZbW9uzvJJntkioDwCj27cpEESaKsstwp+U7T/G3OxkI5sJVkgzRrYVBmOZUO+oXoNA0LLdyP00HJv7DTi9AzBMhoVrz87k8aXHEkrAnjFabdEqbG41ziZub/X6VhFKzROQdIxMjqTyUTPVNdW1amQ9IaIAll1S+yVvL7r+xEySVYdck4DPBXLMBGCgmHOkCSu1Gk1TtR/J+JLHIomikTfLiucjiLiaTpuoN8BMU7Ucqe2os08BFxiteggirgT0zDRhMxMhF8hbTLIpmlCXgBNLYm+A1IGfgBZtXwtCOZWXZFRKpssEII+X19phtLaqHypwB4ZM23Ryahrdne2wNX1TEHGlPWsufYKQGQaKjq2GBhyLoauQV+cgBwd0oBorEAgguZ4GmmMVm5muUs5WoFWtww+xedt29fPRH39005YZ6wagPMqmPf+AeqxWE48NDYgeqFVILUmKoDoUpqu7VJj3ApuvE6YO+o6/4oor8PDDD2NqagpTU1O466678IpXvEI9/9rXvhY333wz9u3bhziO8YIXvGDGPlauXIlf/vKX2LNnD/7hH/4hM/nwi1/8AnEc481vfnPmNW9/+9uPO++U2YoCO4vF4kG2PHFKtej8hrr5A6kpayvAQi1FMgM1bUcBMwJjihVLbCb0Vp7eYiQbDDIE1K0a2nt6Z2Q9UuntRuVgr7cQm8CXWrfW2qM1tAJbzddH328suPIP093wzZybMFuJxklj0fTv6VpEXjVhFLOeYaS5M0yW5DrKFqOAAZsxxYbxOEYcx6o9RpmA015D3cR1U1IyW3UdS00apsankr2aamSZsUbiOt8KuLSqkMu2JoGahsakOIwp0Ebrp6r4ASp+AGYYGK2l7wGb6Yxc2naldXMhMNUIEHCuWoxDY3L0XE4nZrcHUnan6oeztlml1i3Vounb0VCA7rsGIKP7ktYc2UlVL+QqR1KvfZUaRir1zGMEgFuxRsRUNWdUNtfynvYMSxby9D0RzZKIUPVDcCHfGzQBO1sFXEZThZwrxvVAVco5CLj8oyDgfM6muPOVLcNA5nfe0/mYrwPXQQHY7t278Rd/8Rc455xzcN555+H222/HD3/4Q5x++ukAJKi466678IEPfGDWfVx77bX4j//4D7z85S/HySefjDe84Q2Z5z3Pw6c//Wk4zpF3fD4WamxsDMD/TgBGxf1G0g7MthV1oNLs/TUjmoiAmRbcLVmxRiqSTz7LCUohY3jqtVl/GXzgPZdn1qyXAkIt9F7Nv2BaOfs3F607owvTANcMG45ES2YwU/l42cV2pYVjOReWW8qAUACwi+3qujRrxkzbllYhNKUa+jAhDVYrnq9ajhntVCzQCKTmh4K1HcaUZovc570gUoJ9qrSdxlALwozZKI9jBZqoqn6IRhgpdqoRRmhEHDaTk3V0EwckCONxnETjpE7rzDAkg5YwVQ5jaEQpk6YzZzyOFRBUQFJ7HZCyXCKKIISAYRhoK7qZ86P9NQMvLmI1DUngp7+tmGnLcRFndGeSjZsJOvRjMdNsaUorbT1mgitmGqg0geDmwQO9XNtCpeEro1zXsbB29QosX7Y007aczdOLrkPIeaYt2qro58RjcdDMR31CUm/LzteRrHkN2NGqgwKwm266CTfffDO2bt2KzZs34+Mf/zimp6dxwQUXAAD+/d//HZ/61Kfw05/+dNZ9dHZ24oEHHsCGDRuwffv2GVqo733ve8jn88qU7UQrAmD5/DMTsHssVt/KNRnxvA5OeJNxKNWsbbzEiiLyqoi8KkzbkR+WgyixgWC5/AwQpoBLoQins2eGE/0H3v2uGcdXbFTyoeKEEiZKtQWbRPkEgloJ42nfOvBSj2nxRKQn07dhuTzsYrsCrmowgTHVwo1FygwSY0hrsQpFWIWijGxKrCaCSjrJxnJSB2aacmKQ2nW55KZIXl30NZBMOHIuPxKgZhpGArDSAGtqH4ZcqDYkMDO4mSc+UnnbgmPJX0m1IFRMFrFVYSLG53Gs9kWsWJDc6L2QZ1p/BKKIbQoS01Vi1PRKxfuROgZdD6rxafkeaiu4iKJUdK/YKu3YXtMgQsA5ynn5/pnyfMUWynWaGRAWRDyZCk1/RbtJcHnm2gkxQ+yvW3LQ8QAkOZupZUhzcSGUn1lzMcOcIXCnuCR5rjxhrrgahmhVBG4PZYqRWpLkLTffepyvZ7vK5fIR3d+cNGCmaeKyyy5DqVTCXXfddciv+9jHPoaf/OQnKJVKuPvuu/HBD34w83y1WsWnPvUp/PVf/zX+9V//VWmm5lKHkiH1bNW+xC0+l5ubl8+uXTK427GYMnY8nDra18Y0TUzu24uYyxtQHOWUqJM5Odhu0h4EgxDaNaGWnWkgjgi4aK7huRwgJKslRARmW8i1lWEYJnjgw867MsPQMFXLM6onbWzDxPu+8BW88Y1vVPtbnYS55ts70zXEAjGXrzWYlZ6DxhbQmmIhEMcCJrMyz+slktdb+YL8PgzU6w02+3+/jGt9LADK4SsUwfKuOmfDSFlVo5xci4Yn15VoxAzDhJnLgft12MU2WLYjdbZWas8RBiHcnBSpGwBOWr4CcRyjrViEH3HkLRPMMBVoyTMLNmNoRPJ7ZhjIJ9YP9SCCaRqqHUXgpC3RPgGSGTENUzE9xDJ1QwKFkHPKSodJN+KEnYviGAZIhB3CZibiZB8EIAq2pbaLIQO0AcBiJgxIMGcxE5ZhgDETnAsFCkjHJhDDSo5HVfMaWL16NQBg12QNLBmEUGATCbPGs23C5b0deGLvmGrBAVCMFFlqELjSma2pRpDoxlIneTlNGs3wI5PAcmayAIAZLcogSs4xlmkFzWCUriPFQ7XKo/z1+o0YraZ/TPUPDM5gNAMuASId60Clt7QP5pYvkuvBRQyY4oBxRsdCHcv3pxllGPPtw1lqaGgI3/3ud/GVr3wF999//9Pe3yEBsNNOOw1333038vk8qtUqXvva12LDhg0Hf2FSt956K/r7+9HZ2anASHN99atfxfvf/3585CMfwV/+5V8e8r7b2tqUxwoAnHzyyerrTZs2qcDOhQsXZp5rLt2f5dxzz51VMD80NIQnn3xSHfvcc1triQAZPzE9PY29e/di06ZN2LVrV2atVNPT05moCtrmwQflY8w08ZMf/xgijvHHl18+53Na/+CD2PjYY/jUX//1ETsnAFi9enXLfMt3vOMd2PTUDpx33nkz1tKq9P0MDQ3hySdm/2WlX7/7779/1jiK9Nr0qet7+eWXZ7YZTkb8B1b3qJ+3/p5prlKpdNjntPHJ2W0B5n5O8j3z4GMPz7pP/T18KOdUSL5vPqd9+9L8s9WrV2NQO6fHH2ttNPp0zulAkS0zzmnn7Od06uG+9w7x53Tvvfdi45anAKRCdC5iWKaJUkcHBgYXS7AVBNj91FaQ1N0wAD/iKOVsVP0QC5aeBORdMNPE/uEhVCYnYBoGeCxgwEAMuU8nl8fi5SsVgH1y46NK92ZrQCzkAosWLUZ3Tw8AYGJ8DMN75B9y+v4I4Jxy+hkAJODatm0LfK+BGPGMbXt7e9GzYCHWP/4kPK+Ov/zA+7H18Y0Zt36LSXuOnvYyHNtGwAVGhvagOjUBZpiItUAuAwbyrotTTjkFgGxjP7HhkeQaGYjJXR8SRC5dshR9fb1ohBEm949hz+7dEIlWUdcUx3GMM85Kky2O9O9yYPbfe8Dsv8upDvf+dNRrlonW/+31uc99Du985zvxjne8A4888gi+/OUv4zvf+Q5qtdrBX9yiDukqb9q0CWeddRae+9zn4stf/jKuv/56rF279uAv1CoMw1nBFwBwzvGxj30MV155JQYHB+e072O99u7dC0AyQyd6McawZMkSAPKXYSxEwhTFB/6Y63ZCAJnnxIztRBRCcA7BOeI4RhiG6oPYqziW+xKCp8fXjtH8QfsTnB9wO33bGc/F2Q86thB85nkc4PyPxHZIJh3p42DXn1qJdPMTIk6mJbXPIkbEOTgX4Fwkj4mWH1wIRJyrj9m2E9p2nEubikPZ9mD7zOx3xnN0PslaNXapEYTyesSxYtd4HCNGjEhkW6fyOYHOYh4dic9XEMlrXbDT/EoAGZBC4KaZOLI1/R3ty9KilKiIITPQIpsxFogRw0vSClo9H5Lpbdya3XUsEzwW8KNItY5bbpesNWdZsExzVrsKqohLnZ3QBkEOVun7U24/L8Sfr2eiPvnJT2LZsmV47Wtfi6GhIfzzP/+z+nzmmWfOeX/E0M+pbr31VuzYsQPveleqoenu7sbo6CguueQS3HHHHYe8r1/84hfYsGED/uzP/gwAcM8992DDhg2488478aUvfemg1g333Xcf1q1bh4VJi262v/SfzVqwYAGGh4cRx/GcQJjegqQQ5MNpRW54RP5ledoZZ8z5tXOtQqGAWq2GOI4xtW8vIoMBtcqssUMsl0dYlT5pZlOmIfc9lRkZeVXkOnpUziOQWjLEXGTyDwEgqlZQ27oRANB+5gUQYYjBs54DQDreGybD/olJxLFAb0d7JgSbJiZnm2LUBwZ0vVcre4kDlR64redIslxeRQTRddH1c+T/levoUbFP+nXTtWem5Sg3f/l6GUYu15e2Un0ubSYaQYiQc4yNjoLHMdraO1VYNWmaKCRbbxk5LLVwoDYUMTSkvyrlbOV2T5+rfgjHMhFEAo5lghnSMZ8eo6EAtf7ke/2G74VcPUZf07ZAaktB+1fX2TQz69H1XrQdOdc7lrTWOP+UVahVJgEAnd09+OXDj83QiZVzjvq+EUbSOkO7LgHn6HTzGeasWRCfmsJytOcdlQBA15paevRz6Cm5KnCcnm8OGafX0Pf0MyWg1mxfEXCBomMrIT0zTZUNKd8HDFONAI0wwkB7CWOjo7CYif6+vnQfWlA7TSvqj1MbUQ/VponazPUwTFQavgx3T16TyZKktANtP7pG7dmup3t/ovvc0ahGZRJ7H/zNEdnX/mLfUVv3s1FLlizBu971Lrzzne/EggULcP/99+PLX/4ybrjhBgTBwVMrDouSMU1zznqmQ60Pf/jDePvb3z5nhu3kk08+tihcrfbu3auo8rkI8RcvXqTAF4/jw9aBbd+xA9t37Dis18616vW6OtfImB2QtAIsyv4hDJRQP0qE89JeoaZE5QQiACjvLpp6NC0HjaHtYG4Ra950xaxr3TE8gh17hg4JfOmu/bqYXoSBeq55AlK3o9A/Mv5e2qQlWWZEXg2x4Ii8GiKvpq4HTT/apTKccidiwRFWKxlASGW58hqZtp1EKjkQYZi5boqp0xgSKcQ3MbRnN3bu2AkA6ibuMDOZcpQ36VLOhmszKQ7nUt8VcqEE+roeiFpuQUQu9pECX4C82Vf9CNUgZVMIxOjgxrXl/4WqH2GqEWKqESqri6qfgkL9Nc3sDIn+A86V6SsBLeVmT9qpxL2e9Fr3b9qKB9Y/jE2bNsHNOVi7dBGaq9EslI/jTDJAuQmItBpKkNfdyORmujabofsCZHQRgS+qSkPmNLaadKw0ZOg5hZkfqHTn/uayGcPyng6culC2O3ft2oWh3btnbCeHKzSzYNNoOQRAReDLC+TP0wuilga/B6qDGb4e7TqW70+tat6G4tCqUqlgfHwc1WoVhmGgvb0dX//617FlyxZcdNFFB339QQHY3/7t3+J5z3seli5ditNOOw3/7//9P1xyySX49re/DUBOOJ555pk47bTTAEjPrzPPPBP9hxmK+qtf/Qo333wz3vve9x7W64/1mkt7deQIsXl///nP4+8///kjsq+5FAt9GJ60gCBQoReBA4MxOO2daSSO7WTGmCOvqqKEuO9JcXmY5jXS1CMxRwDQfvr56Dz7+dh936/VsQAtckhwKdiPYwWK1KSjFg2k4oW06UcqMoeljMnmaU+q5l9K5PlFXmMiCfHm9Rp4vQbTthUrCEDZdzQ76ANpxJIChAkQ434DvNFQbJkIA+V8b5gmwlgyYAS+bMbQCELUfOm7FCUidRJpCwVa0sBqad1AAdiRAilkOgpAWRAQyJBAKcxM/ZHtQnteOtlLcBbJCCIjK8jWQRaADCCR03+GYouaI4LUsRJ2ixkG2vMOio6dmIGaKDkWqr4ES8Rc0XkQQzRemUbVk4Cnv7Nd7Z8Zhmq3Nbf1mGlmjF/DBACpn3EcZyYo9XPS12+zNEpJ11/RNSEwrFelEWC01kgGH2YXq6eTojNBG4Ht0aoH12YqMYCq2T2f6mAtRJp0dCzZVj1UMX0QcXhBpEDafM3X0awLL7wQ119/Pfbs2YNPfvKTuP3223HmmWfilFNOwSmnnIJt27bhX/7lXw66n4MCsAULFuDf//3fsWnTJvz85z/HunXr8PKXvxw333wzAODSSy/F+vXrldD1uuuuw/r16/Ge97znsE/uIx/5yAnnCUb6kQULFszpdTlmwpx7l/hZq9e//vVKRCua/vrWsxnJdJU1MYJpFBDPxBLRxB4BEUC2Hi1XMmJkvCrZokbmtVG1goVrU2GuadupFQSzJHAh5ktzoG9li9HqrzqyydB9bwggNrcE9f1kPpipfL/UOrTnuO8pzy+dcWM5V17HXF4Z1up/fdqlNmU/IdeSgFXDSFmZRMtEY/702TRk/mMQpdFArm2pdiMg7RS4SNuEuu6JQJfOKlWDSIE4ZhoKaHERY6oxE4AoW4vkRl7KWYqJI88xAmlelAUPuqEptSfpM62t6kuGywu5MovtKuRU+9NhTPlU0WvqQYSximynO7aFciHtBpDhKFld6I8Tm0QMGTOMjD8ZAT42C0jSmaiQc1QaARxmzpoPOVKpzcpe6ZFNsxVdv9m2cSyGiudj98S08jqLEWPV8mXqI117mhEp931oYItaigTkgojP+38902UkUURH4uMEq/e+97149NFH8atf/QrnnHMOPvShD2FwcBBXXHGFGkzcvHkzPvGJT2DNmjUH3d9BpyD/6I/+6IDPX3/99bj++usPcfkz64UvfOGMxzZu3AjLOrFSkqIogmVZc2YG/WQ8vre/7+AbHwP1xS9+EQDw4IMPYllPV8YFv9n/K6rXFGBq9tAixsm0HaUfY8xVwIoyHoE0A5Ll5PNT6+8EAPRefCnyvQPoWbYcgMx8VF5hupN9zgX3qqmvV8Io6T5fADKPZUBZC08jWj9V8/Ho9QT8omoFVtIeFGEoW5Na7JB8nIxnveS6lpRWjnRglPkYCw7LLUJEYWY9pPuSVg/ZqBnTNGCCKWBGNz2dxVDGqhYDF3FikppE9yBtO2a8uCwTVT9S+iVd+6QXsVfMSJzpNfxeTZzbncjMaLxoW8WWxRKIAYBLGqOkPdl8wydAxuNYac46C3lM1Bso5WwVh1QLQpRytsqklC3FEJwLMGbiwrWrccf6xwBA6dwYUsDWbM0AAOW8gyCS2qrlPe0qkomuXd620G47TezdTOsJQAK5gHO4ppUwdel5Vv0Qrs2UTxozZ7bmdNA6GyjSNWgBF+AhV8CU6utfuRb/5z1/qpz0Q54kHdQbKnuyVTmMKaE/M8xMsPtcSmcdHYth87btx5QO7HgpA61/p80X8Pd///f44Q9/iD/90z/Fr371q1m327x5Mz71qU8ddH8n/ljeMVIkyDvc1uzxUFdccQX6+vpUtJQOvgAkTI0r9UxKaJ9qV3SxOADF6gBQrUf5eOoOr/+iIFDTdf5LUFx1xqyGr2pbw0xbjJoIflZDWAJkPAvCdLaOvta1YfrrY8EzmY/K7b4Fy0btw8irZc6V12uKCVNZj9SSjQKpk3OzqQuGaWaTCYjl0m64QsSJONuQGr7ErJRaU14YJWxYrLRLdgtA0MzieCFPjE3Tx6tBpMBSwAW8ZL9eyBVL5kVcfRDjRY8DUICLwBntSzFfcZz5ngT+BMiU+J8c77nA0FQtA3qIHav6IapBpFqgXMS4/8mtiOMYOdvG8oH0/3UQibT1GqU2EXnbgs2k9qzZld5LHP/160b7aDZalfotPiPKSD4n900s3IyfjWaIO1ulwxUHvj1M1BvKd4yZBv7syvcdcPtGGCk/srxjKbB1qKUzcTQhGXJ+wFij+ZqvI1lLlizBG97whgOCL0BanMwDsGOofF/S5j2JP8+hFInuDxbPcazUX/zFXwCQOj4yHhRhqAAEAMXcULl9C5WgnIKidaCgWmnFdvl9crOkdhwg2TDapz8+AoMx2OXOTMA3ab+ai9qPuv4LSAT5mrC9GYxxrypZM57VgTUzXzoQ0+OHyJWf9kPRSTEXEL4H07blh5YzyX0PUb0Gu9yZAWSyTZkwh0mbl/tS/8UbUgsGUCKB0MCXibw25QdIBsILIgXEpL4rG42j39zJ6b4WyNabLiinNp7OZtD3pNGir7lIgZQ8bpo36TCN9aLWWRJDxJLhgIyLvAa66DXEXNH3MnZITl4SIGnP25LpSnRqMl8wnrEfWuP4dA3D45MAgKX9PZltSzk7Ewqufw9A6cFIVwUAPcU8GhFHZyGfsZkgINZ8nvrPwmFshvBcgjEfI9N11e7MPB/NBOQHK2pBH6x9SMNDC9tLM5gyPcqouap+AC+IVBakSAYYDgYa5+sIVmLEOi/Cn1l33303zpjFTWDt2rXYuvXAOarNNQ/AjlJ5nvwl29vb+yyv5JkrMif8u7/7OwBIgIDXkoliuTxEFCCsVjKgS4Vom0y24pLPVLKtFiDyqqodByCZGqwi19UPu1TOOMkfqIj9ImaKJhKFJmzXGS/1teXID02AbzCWgq0WmWjUwiTwJXwvA9Ci2hQMZoIlmi0Cr3or0i6V0xiihGkj7VdYm0quTU2xhyyfB8vnEQshrzmMzM2TdHpBxGGa0gBUxDFylqWc7GX7Lc4wENRibM53lPsSimkCUiaKmKtqEClWR7UjNfAScIGgyQ6B9qG3L70wYcgSsEYART2nac9IJ0b7cG0GL+JJa9JU67ITsEeTk3QetAYl4E/WsXW3nHC2GEMxn043TjUCMNPMsFcVP1C2FFTVRESuA65KI1DTl3p5IZ+RtZleI55Zn3496Xti4mZjtgiQEbOmRyy1Kte21Dk6zITRZA9yoKp4PioNHzU/ff/MhQ2jUnYdUTpgECRB7/PM2OHWPACbrZYtWzarA0Q+n8fSpbP/cdGqThih1YHcro+Fqtel63pXV9dRP/bRujae56GtrQ2XX345fvKTn6jHSZtFQIQsFvRS4CRhwcgugbIe7VKbtEwIA2XHQPu23CL8yVEZVK1ptAyToT68PT0GMzNg7tw16eSWaidqAnc9qifdB1PnEvMEqGlB2PQ4lf41515mf9z3lGZLbVOvqXaoaduKFWO5vMrDZDk303aMvKoK4DZMmf8Ycw6Wyyv2i4T4BBxCzjOedMWcg+lEUJ+3Law4Za3SHJGOCJCAy2Zmpq1G1hNAynrpRSwVfd2sAWOmAc61aBkgq/OCkWm1ka5LXtMUeFWDKCO8J72SXm7CPO2v+XLCMOLYX2tknpOWGokPGQG7BBx4EcfAyjUo5eSvzvGaBy4ELMbQXiyh4U/AtZkCc7rVhsMYbCbjnIgVWtxRQhBxtLs5cCGUdxoAlPO5JEQ7RCPiGeDGTAO1QD5GPxMqW2MMmWm2bBOnAxKRauXOJv7Xr6fKkmyxz7POPlu1GGu+BKCy7Si/LudzM8D6wSrN00xtQcgK5WAt0mOpjvX703wdesWzTPaed955mJycnNO+jp938HFeFMXS3t4+p9cdT+75//iP/whATsa+//3vzzzXLOqMOYdT7pzxmAIV9Rrqe3fL6b9CEUFlMqOpolZfWK1Ic9GkRRl5VXQuGEDv8lUIa1MKROlF7T0gFcGrdZL435opolfgTgNhxgFAmgJqWiuTvs4EaJtMacF0hozXaxC+J9uUyWQnBZCTBQYNH+jt0mBqAtxvKN80U7mtp20/05Q36UYQKe1X3rEyrSzyiJLZg5IRyassR9Ey0Fr39aJjElgiFqnkWBl2SploamCJxzECkbYw6Xt1HGZm9luPUqYKwAyQ51pMAS5qUbrJIIHexpyo+5npTGp1Ejhrz9mJHo0pBo6mRt3kvAjMNMJItR7TlqNkjXTLCgAYrzcUoCjnHSwspxq+RR1tKDq2ApS6BYQOaJzEL1CvfBKwTq3iRsRb2l3QNZfXLmX/DtRqpCnZNKw9PKDNRctjCqnBo3azvu/DLRoaKeaceUf8wyljJoN/uB8nQr3//e/Hjh07sGPHDsRxjB/96Efqe/rYt28frr32WuUOcah1wjBgx3pVKtLXaa4A7Hiqq666Cq94xStwzjnn4JprrkFtfBT1sf0ztiO2KahMZB7X9VMiChRAIxaM2DFTs4mgbSYeuhPuohWob5+ZTzj0iMxm00GVNCe1FQBTJqwkbM+5yq9Ln34EUtBmMC0wm/MM0ErLyTJkmqaLQJNppY74zRoxncangQWDmYjqiSmtW5JtzCiYwQBSO7dZl6b2F8co5B0IIdAIshNkQST1NwEXWNrdjs0j49nXNrnbzzjrJn8uHWTpzvE6YKDHeRzD5wI5jcmpRxy5BHRN+1HmOWYY6ntqNTY72uv6Mv38ydjVCzhKjqValDqYqwaRnKjU1k2WFa5mkWCZDK4tfbrIW6zopNOTug+YZPaApd3t2LZ/UtnUPL5/Cmcu6ELIeTK9mIJOL4wQcoGJegPlfG4Gs1ULQnUMAlHN2imdHUunSE1AzGQuMz/LpnupF3IFvA5UQcRRzDkJU5oCur5yEY0wwvBkawuNVkXXY8ZxkximpwPa5ksv48hZSBwf8uUD1rZt2/Dzn/8cAPD2t78d999/P/bvz97XfN/HY489huuuu25O+z5hABgFqR4ozPfZrKmpKQA4aLRSc/UeganJo3ltFtpAFPiwnByKXT2wnBwmd21rqckyLQdhbSrDBAHIxBYR8+SUO1Hfu1tqoMy0lUmfS6vPQH3HZkQaqLN6BhCPSGfumAuE9QkptGcm4jDAxqd2IuYRTlm6KGNwSsJ85eHFU+YLgAJUJLpPwZkzCwiToE15fCXtTe5VYSWgSYRBCiwBBQD19bBCMWM6q09fWm5JmbICgNPeiZhzBdQAwEQMloAhJ2mFmaaZan/iVA/2+BOPw2YmFi5djs0j48qEVI/UcSwz4/Ul7RCEYpNUq1CkTBczDVSDaAYIY4aBST9Cm8MU+KLP9aapxzbbUuyYXq32SUXMG61NN5TNtEgTlkl5lRmpQSwgQcCOrVthMwOdg1LvEUYcecdGLokgYoAydm1e22jNQ6ebR8BTJooidm56Yje6XcluTTUCuLaFzkIeI5WasqagotfqInzd7oKAF3mZMdNQ7v/NRdsyw0AQyYgisgxpZcqqVyOMYBoGbMbUe2b5ytWHBM6ai1qVcpgjHaRwmIkAx7cI/1i/P83X7HXTTTfhpptuUt9/6lOfwvbt24/Ivo+f/tZBqq2tbc7g5mjW+LhkEEql0kG2PPJ1tK/N/k0bEdRrMnqprYzu5dkIDhFKewq9DZd9PpQAxfcyBqv5bumFJvVgaUuQWLBcrxwCGNm0ESObNqK3vx8DZ5yr9qvAFxcwcy7qjQbqvi89t0ymmCTlUh8FSZai/NDbivq5tAJoyo4iAURmzkUcBQqgRbUp6T+WCPGZ7sAfBggn96uYIioCX1Hikk/tR1oH+YDZxXYEUxMQYaiZsEoHfJ60G6kNKYSMENLtKByLgQe+0i3ShCSBL51V0VkoebM3k6gf+Xh7Xk4VUjtrWad8/+sAyk9aiAU7BVv1MAVhABT7VQ8FJhOner+JTQOgAJX6SHRldDMf9wJ4IVftR31YgMCG8rxKwBftt5STLUYmQoS+r5i2sWnJVnaUCsnr5TnkLem/VUnE4CFPY4j09iMd/5WrB3Dmgq4MS7d5/wQaSRu01TQgmcpWGj7yFkMj4jOmHdXPypTO/0AalzQb66XWprUFJag2lfC+2eW+4XloeK2tXybrDYxWPVQ8H49u2oKdY1Pafo8MTULrISasMUvQ+LNRx/r9qbnmRfit653vfOcRA1/ACcSAHetFAMx1D20673isib1D8PbJ+KSp4d0o9S5Avq0MO++ifeEijG/fDNNypGZJE8PrTJJyytc0XgZjqO3ehly3ZAODJAyZQJNeHet+Z8a6qI1IzFqseWbpNg96q47YKdGk3zIsB7xeTdms5DG9BdnMgukgTHg18DCEkbQ/iU3T25EAwNySYuGai2wnGHMV40XXj/sech3dagJSD9ymr/NJXA1NQEogFoEZKUMiEsbKtS1lg8AMAw0hUM7nUGn4CvwEkVDCc70IyADA6p4ynhytYGTaAzMNdDmO8vciEFTXgEPBNlVr0ecC9VDqsUiLVQ8FmKm10UhInkx5ch4r9g2QrUJdf9bcktTF+67F1NpI2M8MOTnJEn80IB0QGB6fxLL+Hri59P3jaUalzRYQE3UfPcU88hbDE3vH1OMqzDwQ2DlZw2A5/V1RTvZNDJE0wG3t8yXXlg490PnNxmYRuxZyOQTQCEKU81kT2AMV2eQQqNRbgbUgnDWOiGx2ZtNp0fE9kbYuKRycmaZKaZivI1uGYajJ66dfxzdzCUhpzXXXXYfh4WFcddVVB9w2jmN8+tOfPuR9zwOwo1TUMz6RARgANYHHfQ/V/XsR+Q2UevpguwXkyh0I63Vpqmo7cModCCqTiu1qFm2SZxjL5REm046NsX2ZaB2nvRNBZQIL156Nzdu2o7tUQGPvLrUP0n8pKwfbRkytxsSIVRfiG6YUtpuJsN0wGbhXVbYTceK/pcAW54i5XHusgUpWKqfxRjw1ejXdIqLKBMzka7m21NCV8/Q60FqARCdGVh2FojKm1a04DMZguSWE1WmtTZs6/0umLZ+2CSFtKIQQME1DaXSy2Ythpp0FyJuqYo0S8KWsHrTPBGAAYKhST/RRhnKoLzmWsjBozztabqTAsq42bNg7IduDpmS/FrXlsaPiJcxW+j7RW43Nxqu0nqkkfxKAAoukF2NWVjukbCeE1IgReNMBiWL1DAOh7yNONEiO42B8ug6HmcnEHlOTiJKNYcrviydg1nFZ4ksm9//Q3kmc0VeWk4OOjQmvkdGPydambGF2FnKq9Vjxg5aTjBSO7jCGapKMkK7nwBVwuU6HhhgoCSGZRLQZO2SZT9GxE2Av13vHQxvwgrNPU89X/TDRFB7+TTubj3n83/zn69mvq6++GjfffDOGh4dx9dVXH3DbuQKwE6YFeazXvn37AGBWD5HjvSb3jcx4jPseGpVJRIEPwzDQMbBEPWeYTDFZzUVsjuWWkjZlHm7vwox1BQVf80YDfStl5pY7thub9o4hGN+LgTPOxcimjU3rSUXsseCIW/gOCQ1YAQl71iyibzFZKRduqo9wYjTdjxByYpH0Wd39sJK2KYEt5pZUrmOzxo25JRUWzr2qbItaDrjfQDAxmtplNNH+qaN+oK4rANhN92i68duMSRYs8VRqxbCQqJxu9J2FXCr41qcQE3DTnrNRciy05+30sXw6xeeFHD3FPGwm21quzdCetzE0VUN73saCtjxWdLdhSXsBp/R34oJF3VjeUUCbbaGgCeP1liYBSD2qiB4nF3laP/mBKVNYTbxP5xNwIfVjyYSniJFpTzbCCEEkgcm5q5apc2sGQ3nbUtotm2VF8s85bQ3a3ezvBnLNJxAn459mvmfJvoIYKGpX0tezFbFIklVKf24AlJv+oRT9/OPkH3mYTdQbCrQdaF/NuZHZfTf51sVxxvsLkNfVNIx5wHUEa74FmRZjDPfdd5/6+kAfc41QnAdgR6lGRiRAse3ZM9GOZPX09ODf/u3f8NnPfhaFQuGoHNMwmQID1GqMOcfkru2I4xiGaaJz8UlqexXNk+itDJOp7Ed6Xi+7VIZVKKYtw+RYpPkCgCViGu1rzsZsRb5acSjbj4jjdA2JjkqPFaIybUdpuHT2S9lHaNsajMHM5VNGzDTBqxVACNmC9KppoHbyuqg6pVqwuteZVWxPf6HZDphbUkCU5fLKtJU8wvSWKWVtSuPWxHYjCmX+ZqJx0t3wASnEdzSrCRJvU1G7Km9Ly4qJuo+pRoAgSt3kdSBGwGbcS9elB3IHXGC01sBE3Ves0rgXwLFMlBz5y4zAxNbRKYzWGnAsE4NlF72FHLpcB12uA9diaE8sH0qOJUFfLrXf0Ccs9Y99dZlQ0RydpIvQvYhj51QdQSQw5YeIkQV6ALBlzz7EcYyOYgEvX3c68k42lJyAV9GxM+1IrjFCpmFkGCG9Kg0fXhih4gdq2lH3BWtVZBWi/+x4AmAO5PlFReJ+BXh46otGWrC5pnRwIVDMzfIHDJoYzEMI656vZ6DmnfCPWs23II9SDQ0NAZAI+mjUi170IrzjHe8AACxevBhf/epXj8pxWxUPGqju34tS7wLYrovuk1aiOjGBYDpQrTU9noiKBO9hdRqN/fL65XsHENamlO+XXmbOxbd31vAWW4LdbV/6GJb+8cyevfC9NGpIxKnVhOZDpq8BQOZxAl4x9zRLCjJyDRELAdMtQni1tK2aeIOxQilj5CoBXXKdEvBEDvsiClJ7DGRDvAmEGSZDWJeTn05nj8yITLRteoXVadglKQI2LTs11uQxGgk4oJtpyojJ/EVPZDU+ADIMi2wjMhnfE0l2zM2xRCCu2SgkuirOs47yXMSAmbYzAQmCSHNFuidqHVZ9qcvqKeZRC0IUHRulIFR2EWSiCkAxavtrPiCALtdRsUeBEOjI2SqHkm74zbowyqH0Io72nI1ppNvRmrYMjSASAmectAilfA6/c/bpGJ2aRsQ5pr0AcSzkwEcM2DxCo2mqEZDszg9/8wBec9G5+MlvZXTWyLT82eusIaCJ6BPwprcTKWJptt80ZNxadGzloE/MJoBMu/NgFXCBwA8zoJ2Aa7ubg2mkZri6FuysU1bP2NfzzlqLezc8ccDjNVtNkGUKIBlc9R5+Gm3M+Zqv2eqVr3wlli1bhmuvvXbGc1dccQWeeuop/PSnPz3k/Z0wAIwAzrFatL6jZaz64x//WH19zjnnqCGAZ6o6+vqx8+7b0XbSGsUmkQWCCQfe5ASYk4Pb3glmOyj39iEql1EdGwUP5Pbcb8AqFJXwXkQBGMuajOoVu0WIydFM2+5DrzoXH4LUfu342l9jx9f+Gkv/+CqIMMyI7xEF6G1vRxwLNbFIgnq1/0QLpjNimWghxsDrtcQeQrYaYZqpRsw0YVgOosoEWKEodWWah5jcj5M5ru5wT/YTxGKRN5hpOWpyE4BiwQjMkn0G6fHo5yCiUDFhetFNTL+BdXR1q+elNUMszy+pcj6HCa+hTFqrfrbl5SXB0opFSlglAl4qYNswwZi8Sbs5lkzY0XElSBiZrmdAFb1+qFJHKWdhpOop1kvG9TAFFqlt2FuU7b0gkschJ3sAmGpkjUmJhVETlWbqJdaet9HZ1ZVptdI5PbxjCGEU4dxVy2AxhgVdHTOutV7kqB3HMcIoAmJg+VKOjRs3YtHSZQhCjlNigemGj1gI1PwQbTxCEEYIeQS/aeiBbCboZ6JnXabt2QM7yJNthd7O0/3I6Osg0Wvp1dHVfdii+M3btqegXgj0txVRafgwDUO9Jw/H2uJYqWP9/pQt44QxUT3SddVVV+G//uu/Wj7nui6uuuqq/50A7Mknn3y2l3DAGh0dlW04w0A+n0cjiYh5pur3f//31dcnn3zyUfkFYJc7JXiahXquje2HX6ui3D8AZlmw8y46BhYhqNdQ2TcMWzNYZbl8JkOyMLBUBkwnwvxYcMTTEzBtB5FXVXE9U6P7Mf2UDAJf/LYPZryzRBRIPVXSclzc25kBXgS2FPCKkLGSADRtWFiTNhluMcOSmbbUZukTlfQ17YcVSpl9GYnVBeVCxlEA0y7JAQDfg1VqV0DMtJ1MViQFdgNSc5cZXKhWMkxYzDniBJwxYsEMAzBN5B05/cYMqTVatGhxkvNI0TPpTZnADbFTlFEIQOmpSGhPjBZpwAAt01DLdyzlLAWwSKPF40gxNFONULXA2vO2mnKcaoRK7E8ZjmQSq+cS6gJ6iiEiHVdzfJGu/9JbdQTiehYsVI/xOIZjmQqAbtk7imnPx1krFgMwkLOYTB0wZbvXMAzQHo1k34ZhKC2IZTGceuqp0OtA6bFxLBuicRwjTtqZlGwQJUJ/znmSjxjBD0OZfsA5OE+1cIH29aFWNWG+WGJv0tm3ILmGJsAFqn6YvAekRqsWhKg0goOyU2edsho7duw64DatKuQ8OWY6bHGok5zPdB3r96dMGZhvH85Sa9aswYMPPtjyufXr1+PjH//4nPZ3wgCw46EIgA0ODs45NX0u9cIXvhDf/OY3M4/t3r0bGzduxD/+4z/ihhtuQBi2jiM53Nq35YlMMDYgJyJV3mHCMkUND+M7tiLXVkapqxemZSFXLKFn2Ur41WlUR+Wwgj8pRezUUiPbir6Va7Bn/b0oLFikInmofr3fw4sT4obADq/XMm08AIpR0nVbLPHk0vVd+tQjPSZ3IJkulnNTVsg0YebyGZaI1mHYNuIwBCuVwetV8GoFpltUayDw1bwmQROXYaqP089Jvz5UKRiT0UUC8rVRvZYAuoY0cTUZTEh/sOZJcTLuBCQ7VvMDBBDoL5ekl1MjUBokPWuwEUaZtiCgMWJhysxkgA7SaUo9dFsBOq2NSYacut2FMn1N9qXYqybGTBfmE7sFpA75pEcj4EjmsaotaRjqHDJh4glYa8/b4J48xmilih/dt0G24XK2AqIOYwroFB0boYiRz9nyZ8sYXNtG2XUQxkDOslDMO7BMEzZjmJqcQHd3D0zTyAA3BeiSx6zkvXqos9Z6rp1IQJwQBOZkzFIYcURcArgwktFVDT9AEEWIYw4ezA3kPOe0NXPa3mbSc4xamGQ/EXKuLCnma76ORpmmOauXZ1tb25w13icMACOTu+npQ4+2ONolx/1NLFy48BkFYGSgCQDvete78LnPfQ6WZeGcc87B9ddfj6uuugrPec5zMDExcYC9zL2aHe0PVEGthvFaDbliEaWefhimiXxbGYZhoDIypCwWgsqEtE6oTyAWHCObNmamIY22TsT1Ggxm4nm9DmpDO2GXO9F/8lplQUF+WmRySuXxGBAchXzqp9XcglRf6yJ725YALfkMISCSmCTmFlOgRAxZ4vvFqxUJ1NyiXFOSJRlVJlTrEoDKhCRwpjOBynk/MY1V7v3MTGOJSHivtTOV1i5pS0o3fvnLgtzfVQSRiOF7HmqNAKJQgM1k22losorOQl55d8mgaAnGSEcEyBvkaK2hphCV7UUCiAbKBeyaqmWYJ5jIgB19IhHImqSSJ5deygRWpIBOP341iNT+VQakNh2px/Nwno0xoiIQVq/XIRiDnc8rlk2Zuyb+aTQAQFFNQSQyurRaEEo/tZqnMiU/+6tJ/L+X9ipmsaeYhxdyTHgNDJSL2LJ3TIVyU1vRtW0YzEQxn4NpmrAtC7ZlgTE54chMBpaI5s1koMIwDKWlMrRzVOerLu2h3UwIxFWmpxHHMUqlEoSQbBwXHJyL5HuORhBi7/4x7J6ooLvg4LWveiV27949Ywpy6dLFAICNTz5zvyePZh0P9ycqA8Y8AzZLPfzww3jzm9+MH/7whzOee/Ob34xHHnlkTvs7YQAYRT0cy6nzURTBsiwMDAw8o8chr5IHHngAX//617Fz504UCgV0dHTgM5/5DFauXInvfOc7ePnLX/6MrSHmXDm16+BFN101TAZvcgI8BvJ5F/n2DjjJlKP+muYSvoeoXoM/NgLmVZHv7gP3GwgTh/hWRTYOIpJtPMNk2LR1JwDgrGWDqaGqpvsyLEdFCCmvL4r/EQIH8hAXYQBGLJdag522NIVIWpWhtK6AFPATOCPfMPIgI1BHEUWG7cAE1MSofv4GM4FITnzapbJsa5r6oEEIxpjShMWJrYRA6nr/0EObIOIY555zLioN6fpeytlqmo+ZBrwwUu7rzdE3AFRLkB6nx4YqdTDDUCanOuMFSDBz/pI+bNw7nvHfoslEICuy1h9jhqH0ZwQsdcaKphodZoLByKxNL93YtXmbqaFdmDaAgZVrlM6KzpMyIIktk+tjyuqBCyGBkWEo01vXZpl2KSB1UCPTdeRtC51uXl2Dct7BaM1TYNcLQ7DIgO8HmenKgPOMvQTtU2cs6RxztgXXceDYFixmIe/YsC0G22IwTQaLmTPaqKaRZeIA4KGkNXPJJZfMyI5srv6eLvmah+SwgWqhco4wDOH7PhqNBrq7exDHAn7EgTiGECJh4eTnMOIIowh+EMJmDJ0FqWO0GYNjMdiMY+OTW7F29YoDL+gZruPh/qTKSH0T5ytbn//853HjjTfi+9//Pr72ta9h9+7dGBwcxOWXX47Xvva1uOyyy+a0vxMGgB0P5fs+8vk8enp6nrFjrFixAi972csQBAHe8IY3AADCMMTU1BT++7//G7fffjueeuopvPSlL8WiRYuwe/fuI3LcvpVrsH/bZgCyBWmXyvAnRxFWK3DKnYgS/6rZqlGZRL69Q72ewE6+uw/+5KhkeJKW5uLzX4DxPbvACkWIMERjbJ8CIlQjmzaq8G69BanyHSlHMhYJWyTZI93hnko3VKUWI7Fb3Ktl45SS9qRpOxB+Q7UlDbVN0uIUAk53P6JqGskC01THFU2MnFov2VckICyYHJUtLGIfk6gl9bWWlynXLYEYJw1iPtHcmQZMmAhjqKnIOI7BYwEvTNkjAJioN5C3LbhJK0hOzUkt0ITXUBOL5JhPRq1AKnjX24DkPA8Az1++EL/cMoT7d+9Ppw8pLkjICKP2xKyTjFIJdNGkIunLFJNlptozACg51gytV3MpQ1kxO8xWDFsCwiTLlT1fII3asZmpwrAJtJJWjRkGrrygbYYAvvl4XMjkAYcl70MhUHRsZcJKayo6UnPnJEDtQHE/fhgh0qKJFIDWTHlVXmQCxPTH8xaDaTHsm5iEaZjYOTwCy7JgsZR9YywFcqYh2TgDmNFONU0Ttm3PsM45FPtENdQgv5Ht1KSlev/996NSqWBychLj4+MYHR3F/v37MTw8jL1792LPnj3YtWtXpnswX/PVXD/84Q/xvve9D3/zN3+D173udQDke7dareLKK6/ED37wgzntbx6AHcXyfek51NfX94wd47nPfS4A+ZfWli1bZjy/a9cu/PSnP8WrXvUqXH755firv/qrZ2wtelFLMcOGCcmGhdUKSt1SaixEmreoTEoTcBFMjMIudyqgp5dusqrvnwAXucqTVxn3PQm+jISh8aoZm4e0FRlk/LyIrZITig3llM/ckvT78mqwSmXJbuXyEMm6SP+lBPiWkwF81JIk9o0mJ1MGLhH6Q9N70TVMpisNjVmk2CURhjJ3synHsrnFIKIQsWlBiNTcMkpuujSRJoGVBRTyKqJooKOEJ0bGEUQCnYVcRndVDWpK98UMA6WcDdeSrTOyjACy7NLPN+9BPeLIJWCKGQbac7ZqITqadaFqIRIwgZjBkGW0ZAl404u2I0DhCZ4BddRW1G0zTEOasdKxqTUJZLViFMwt9y8UAxUiFb03h4ZTKZ81r4GQiZamuK2KgFcj4ggB5JPf8BQzRNUIo0xUEll9EHNIwJfWeSCdlQAQBhGCIIKIY4yMT6rnOLUiYxlrRa1fPeKqv1zAaaeegsWLF2NwcBALFizAwoUL0dvbi8vf8yewLQYBGfgtAZyRauFaDTXIb+S5Jc8RA3WwihOWLYoihGGIRqMBz/NQq9UwPT2NSqWCiYkJjI2NKRC3d+9eDA8PKxAXBK2nto+fmm9BHqi+9KUv4Rvf+AYuuugidHV1YXR0FHfddRdqtdrBX9xU8wDsKJaXBNV2d3cfZMvDr/5+mZd4oMDQf/iHf8CrXvUq/Mmf/AmuvvpqlQn4dMswGcLalHJpt4vtMG07MxWoAyL6PvKqsKjldpBfXgQgFODSXOPjMJCTgF4NJ73kNdiz/l71uGE7MAiQhQ0UevphbN+t3PBNbVBAB3/CTwCjaSZtwzSfkfRZhuUApqnAlgRvNcmAJdvwelU9r5+LmXMRToxK41bOpU4M0lpCuu6n4CzmHFapPTVsRcqGxYLDQKp304cTIq+mpiXVUERyLciiIuby9TazYDOmwBdL2ApAsh995SJGpyVLUGn4qiXpWDLappSzk+k4cisXqhVJjwdRKnYnETxpvngcI5cAhXooULBNTFFEUSTgmGmmIYEjIJ1487Tzbhb0u5YU0JccS6IGPc5IY3V0G4rZnORNI52aVPtI9GYyVkioNXcWcjNif4g1I6AWRAJdrqNiiNrzDkZrjYSFE4rBmkgYtqovY4gCzpU57cGCtQ+3ZGuTK/YOMFU8kWvbSg9oMQNAaj2iF4EvII0xIkuLmh/ivvWPIuQcxZwjdYhxjCnPx/A+OYzTLLYnDRvpFl3HStqkJiyLwTAYbE0Dd/vtP0dHRwfK5TJKpRKKxSLy+TxyuRxs2wZjTLFw5Gqey+VmFVwfqHQQFwQBGo0G7rrrLgRBgM985jMKxI2Pj2Pfvn0ZELd7927s2bMHUfQshogb6e/Z+Wpd1WoVt9xyy9PezzwAO4pFCLmzs/MZ2b9t27j88ssBAPfcc8+s2/3iF7/A3r17sWDBArz0pS/FzTff/Iys51CL5VywpMcQNhrK1ysWXOmaRBTALncimBhVHljE+ni7t8JdtAJhZRz5BYvR8A78l0jnytNQ7O1HeXgM9dGRLCuXGKNm4oa0X/wySDxQwdegdmYun8QmuYgqEwr4Zc6zkAryASjAZdpOykwlbFYchgoUmklEEa9XlRcYAJh2KdNOpZiiWHDECXNG1yk2WYY9A6CAXKR1XUgzxhDDMBk6inlUPD8RdBuo+QFCzjFUqSlwoKb7kuukg6/OQg4TdV9NP160chFue2KHmhDsLeZQ9aPURkK7eRdsGcRNgMzRfg5cxIqhmvJDMMPAdBihLVmn3jrkQkYVsThtRZYcKwPOFBNGrc4mNk25s0PepGNtQlLlYibgi4sYHOmkZy0IFSBzrEMDSVU/xFQjUAMHdP2WdbUhiLiKGyJ9WWaIII6z0UQJ+1Z0bGXC2uyGrwxdk30HkWTnwhbt2WO1KNc0jCJt0lb+3H7v937vkPbR09ODRYsWYWBgAAMDA+jr60Nvby+6u7vR2dmJzs5OtLW1oVQqoVAowHVdOI4D27ZTm5EmENfW1ob2dmkcff755x/SOkgPRyDuuLKxOIz6kz/5E3zoQx/CwoULsXHjRrz//e/Hr3/962d7WS1rwYIF+L//9//iBS94Abq6ujA2NoZf/vKXuOaaa1TizaHWPAA7ilWtyptnR0fHM7L///zP/8TJJ5+M0dFR/Od//ues28VxjC996Uv49Kc/jQ984ANHDICFtSksXHu2igXivgeWT2OFCFRx34PllhB5VQm+LPnLK45j1KfGM+wYoLnRJ87wrYo5OQw+94Vg+QIa/QvR1dWVPWeKGRIcjalxFHslU+h29cIAh4jCTM4jtf5U21QI5cMFAMwtKkYMgoMnoC+qTsEqd8pooGolbUMKIYOxTTM9H61NaQKwyp2p2WrSNhReDYZtK+NW5pZUu3RGkLjlKJDF3FI6/Zm0JgmoiTCEYbJEU9dQFhwGk4wYkIiiufwrvJhz4FgMFc+XflJcoJxzUPEDlHMOeByrScjmooghql9s2on2vGRNpvxQWTfomivV7jNSnRYVASmKKSLgBkABNdKGVYNI7ZcCvalIK0bHIXaMilqaBOSYZahWp3rPGdkWKJC1s6Dn9OxJ/WvaB6UJeCHHcwa7Dikk+0gUDVx42vFa/Rx1TVoIwGakfeOqxShZsRjNbwFquxJodBjLDFWo/RLDV2/INjeAzkJeWU+wDPgWMBNritS8VW5HrVV6vDlt4GA1OjqK0dFRrF+/fk6v02vBggVYtGiRaqf29fWhWCzCdV3U63XFxBWLRRQKBcXEWZaVYeIsy4JlWcjn8wc/6BGto9uCfP3rX49//Md/xBVXXIFf//rXuOKKK/DTn/4Up556Knbtmrsf3DNZq1atwp133onOzk785je/wZYtW7BgwQK8733vw9ve9jY8//nPbyn9ma3mAdhRLBpBfiYA2HnnnYdLL70Uvu/jd3/3dw867vz1r38df/3Xf41LLrkEruuq9uizUe0DiwAAIooSEfvs//lN21axRVPbH0dxxVoUT1qDUv8g7ERfVejux/e+9z0YsQCYDSQTkEDSAtVCuA3TxOKLXgTBOaaHd2Nqx2bNiDVljAzbBsjSIRHWizBQ+jQVVWQ7Sgem1pwMCEhPrzDTruQe+XN5MDxbMWQEALnvgSWgjddrihHj9arKoUzPJW3Hcq+atiI1Jo5MXAFy9jdTCw5aB2MqFzOoTEK4JTQCeWOr+QEcZsK1LZRyNspuDrsmplMApcXaUNRNmJhywpQAhRgvAlEAVC5jm21l9sXjGNMBh8MMBch0Gwx6bXvOxpQfYloDE8pkVLVT0+2DSCgGjVqZJcdSsURA2hbVxf1A0mKKU+CldGDJNgp86WCNGZnz0tdCX7/monNx2/2PoDPR2FV8mbGpm4nqIdk00dgII/S3FTDVkD9n17ZQ0b7mQiYX0GQkkI2Vmq8jW3v37sXevXtx//33q8cuueQSAIc2BWmaJgYGBjA4OIiBgQEsXLgQf/RHf/QMrXZmGUbiD3iU6gMf+AC+8Y1v4LrrrgMAXHnllXjZy16GP/mTP8FHP/rRo7aOQ6nPfvazqFQqOP/887Fjxw71+JIlS/Czn/0Mn/3sZzMm6AerEwaAPfDAA8/2Eg5a5Lt1OLqCg9WyZcsAAL/+9a9nOPW2ujZ79+7Fjh07sGzZMpx99tm46667nvYaFq5NQ7BpkpGc8dX0IedKg2RaDtxyB5jtII5jjO/YgljEysICkFYKVqGI2BcwmKkmKRv7h5DrX6wm/szkpteoTCHXVsaLX/xiuc8tj6MxlfqdiShAeWApAGDNkkEUexfI1zOG9kVLMfXUE4kWzMuwXzGk5suwbXBiiRI2j86H5VwpxK9V1Hnquq+ML1cunwr267XUUT8BW1FlAmZOslMGYxBeTQLCJBTcKrXL+KYEiBmMKT8xNcmZWH6YORfcq8przl01qCCiADEXCOsTkiWrTCT7MnHq8pNgFeX71DFimHkH9UaAJd0d2DNRkUJoxjCSWEro03HyMxIn/SQayErZJtJ0KWF90nYsWLrDvoFpP0JHErA9HSQMipl6fdHkJIEfAOACaHOYakfSvgnIAQCTRu1gJhSgU4BP03XpAn3llcZMtC1cDNPQzpWn2ibaRmfuSBsmf/BoyYABwMv+6WfJZGQEL4ww1QjRnreVjq6Ul8J1MnUFgPa8k/l6tNYAkCQICJGK75NWcfZnFCvhvWo3MlOGsFsMIc+2LZWNhiUtHrwwyhgPL1m+EqFmhaFPscrv0+lKKi5ixcARsAdmZj4Sk2YahpIEmIaRyZc8lmsu9ychBHbv3p2ZUD+aAOxolm3bOPfcc/H3f//3mcd/9rOf4cILL3yWVjV7vfCFL8R73vOeDPgCgJ07d+Lqq6/GP//zP89pfyeM2cf09PQxb3I3OTkJACgWiwfe8DAql2ioWoV9t7o2J598MgYHBwFgxpvpcGti7xDG96SUseUWYblZxoU8uOhrt1O2CoN6DTzwlYEoy7mw3BLy3XJilGwmRBQgrFaQ6+6HVSqD5fJJbJGcMBWcY+/9dwKQKwhO1QABAABJREFUU1Ftg0vVX3Ox4HBK7XCKJQjB4dqWMkgEgLBeyziDq0oE+HQOANR5GCZToIr7HnitApgM3KtJ0JP4jqnWa1nq/7gnQReBOe7VlKEr92qqxZhZQ3Isw3IQjI2osG/h1VSQODF3JNznXhXB+F7FaHGvCl6X05FhZUJ+78tQcWLORBjCdRjs0ENYrSCsViAmR+FUR+ENbUc/i9BrhuhpK2CgvYT+chHlvAPXthJwYKocRz2kW3lmMRPteVsK0EWchjfnbAQidcNvsy0FrAp26icWCIHpMFKaMB5LPdh0wNV2AZfbqUDtZFsdfOUSkT21HklvRRYXrSrgAlYuj4hJJqkaRArgAUnrUtNNEZgkV3192ADIRiSp92GT7uo1Fx3aBN+zXXnXRc49VA/+p18ijhVQ01uOzDSQty0UkxQCHfA9W3U83J/SMo7YR09PD+677z718cd//MeZI/X09MCyrBnaqZGRESxYsOCZO8XDLMdxZv05Tk9Pw3Fmt1pqVScMA3Y81NjYGIAjD8Acx8HnP/95ADgk4aJhGLjxxhth2zZ++MMfYs+ePUd0PbnOnrQld9C1yBtj2Hh6LdAokAAsV2pDff8wwoYHO+/CKRTRvXotRp94FABQSBivOIrQvvgkAIA3vh+VoZ1ojMlfAsR8GZaDOKylInzNrV7uIwArliXzBMAqtaspSZ3tIp0YTKa21duFpMFCHKN92SpM79oKwQUMZoE5Dgxmw6+Nqe2VR5htI6pWEIcBTGLWbAc8Su0tyFwWkG1S4XtghRJMSJ0bc0uZKCRA6uVCTdAvfA9OZw/84SHYHb0IqxVYbhGOESNfzIOLGDU/QCOMEhPSCD0lF0NTVZTzTsupSBVmnUxCUguRGYayoQAAnwT5VnrdHVOK86fDKMOaOTlTPdbmMMW2McNAIAS6k5RvLmJM+pHyKNAtJrwg9cPSP1Nck86SNWuldMH84dTNV74UNwO47f5H5GRjwh795LcPyQnPxDFfn6qs+iF4HKMWhKnNBRnShlyJ/p2kLUwTjITxyFkfQrJe1EIOuLSgCDzJYDbCKGE5zYzhq16UA0kAliw9JKhNUwfm69guyhQ9EjU6Oop169Yd0jH1okGXY63Wr1+PP/uzP8NPf/rTGeu74oor5qwdPGEA2OrVqwEc26Gn+/fvB4AjLqo877zz0N/fj5GREXz605+e8XzztXnjG9+ItWvXYnx8HG9961uP2Dp4o4GwNoV8dz/8yVGl1SJtEWUbRvWazCMUHDzwYboF5IolVKGFXSeWEMpyIWmXGcxMzEbJWFS2+OqNOtr6FoLZNsrPfQlOOe10PPCLW9E2sAS5UhlOeyeCqXEUeySjJoTAlk2bEFQraPcmAMPMgBUAGYE7lZxOzEtBvFmWGq6EDVPmrLUKBLLgShmqRgFAzJnfAARHVJ2CmXPRtng5utecge5TzsLE1k3oWL5aeRt5YyMYeege2XZMdGNRMiEqtWBSzE8Aj9drYIUimJNDxDnisAYzYSMNkyGqTSnWjNgyQBrWxjkXO/fuA5iFJb2SoWzsH1KtTNpHY2wEuY4ewJbsq8OYFD3XG2pCL4jkTbjo2Biq1BX7xeMYizvasGHvuLq2BIQKFsu05rgA6tpNf7IhmS5qTTJTMl5tDkOOmahHHEHSFuzISdf5SV8yZjob4mtMk2LBNINW0mcRiyXfFIA/If8fo7tPCf5VjqTRIiZJzDR1VQDUMDLeafI5rqY8S46Fqh9lJjJrQagmTyt+oK49j2MUk2SCvKalO1q1b1j+IbdwcFHL5ynLkwCsw0yAQQE2Zpvwwki1IUUCBMiaopRzYJoGJusNuI4FL4jU55BzNMIIpmHAdaRWsZhLBmaOAQbseLg/PRs1OjqKKIpmsF19fX1znig8GvWpT30KP/7xj/H444/je9/7HoaHh7FgwQJcdtllWLVqFV75ylfOaX8nTAuSxoaP5SIANlea8mC1Zo0Mt7333nuV2atezdfmYx/7GADgwx/+sJrMfLaqOir/k1m5fMbuQS8K42a5PEQYwrQcRF5NttISkGTlCxjf+jjiOEZvVxcKhQJq46NoTMkbvO3kUFqwGCazENSq8MalC/bYdA2LnvsiWG6hxYGFaj/KSUSN/QpDyRq4RanfigKp56pJUKR8ybyqtKogYNc0YGBYjppSFGH6s+tccXImpy9qNBBVp9KwcMFhxAKlgaXoXLUWvaevQ99Zz0V5yQq4Pf3Id3aj/4zzseiC34Hb3qn80ZRWLDm/OArkZ87Tr6MAo5VpjI6PI44CRJUJ8HoVMecoLFwGt3+xao+G1QoQ+igmN0fp5WTDNAz0lFyUcraaYKO2I9kmDE1VM/FBelErsmAxFGwT1SBlxdqcmW12AmNjXihbjAlwmg6kAWt33lYtyUAIdOQs5JgpbSuMtEUo26fZKUwASpzP4xheZQr1yiSAdMqRvlatxdlYoqS92mwbweMYj27agjse2qD211vMqZbu06m8JcGaHhlVCyRzNl73kygkCeC6CnllLVLOOSgnIIasLfIWU0wbkE4nciEwOjqK6ckjmy/bqk4/eeWctl++bOkztJJDr+Ph/kQVI/u+fDofB6swDPHAAw/gJS95Sebxl7zkJUdEl3yk65ZbbsGrXvUqTE9P42Mf+xiuvfZafPzjH0e1WsWrXvUq3HrrrXPa3wnDgB0PRYh+ronpB6tXvOIVAKS/18HKcRyceuqpiOMY3/nOd47oOnqWLcfo9m0wTIZ8dz94oyGZq0SQz5ibiNPzCszUR4bQufgkGIaBzkUnYWpol5rKI7uEQ8klCysTEFGA+th+FHv68Lu/+7sAAL86jUJXL0oLBmEy+Xaf2rkV/vQUgloVVt6FaVnoXXMmRp/cgLA6BZFo0WIhVJaj8gpLABl5gZEvGABE1UrGxsIqd4LXKpk4ITKFVdmTyWNmzoWf3NSby5+ewv6H74bd1o7y0tVwu/tgFYoStDbXwsUzHuo69WzU9g0jjgVKPf1wOnowselRwDQRVStgblFZYkTVKVildpCfQJQMUQhf+rPVdm+F8D10rD0P3r5hGDkGf3IUhf5FKLs5VDwfjVAyEiKOUXZzGY+tRhgprykKsFYThixlwZRBa8LilByaLJT6rULy/pkOOCBSwKSbs5Ig3udCsV26Az+56tcjDi6AjpwBMGnYSi1RNQnZ9MeBASMDpHTz1oydRdPEI61Tnks8g52ZqM/8A4rKsUy0JwHZVT9EKWdjqhHAtRnG6z66Cjk0Iq4E8yR6rwVhMlkpLSdoaGL93gksLbf4w+NpVhBJsJe3GKp+GvJOYel6NJQawoBQ4JDE9V4omb+JegNFx8auiQoGOo78ANN8zawjZc59KHXNNdfgW9/6Fu6991785je/wXve8x4MDAzgK1/5ylFbw1zqlltuwS233ALXddHZ2YmJiYnDdhGYB2BHsYaHhwEAlnXkLrthGOqvh0Px87IsC0IImKaJCy64ALfffvsRW8tcivsech09GRPUXKkN5YWD8CbGYTIGf7oCIeTNTLb4ZLsxrExg0brnYfd9v5aRQpqzvkmTVkwakIKnN0PTsiB4pFixxqTUVfHAh10oYuFZ5yOOY0QND7WR3ZjevR088DOTXnJHyc04aR8atqPalyJMvcrIG4zajkhyKeVzVZiOCyBGoW8Qdls72pefIs/Pq2Hnz27ESa96E0xmobJjC8pLV6P71LOUZk4ePkIwNQFvbD+C6iRMy0au3AEnEfpHXh3FBYtgu0UsuvjlEmwm16e6ZzsaY/sSYb7Ms6R2KveqqQFsJmkgVDYayi+My2nWoDIJVmpH3rHVDbcWhOomOtUI4DCmpvLIZLQaSf3X/gR48Dieofui6UUfAswExjwJIiwTKDkMumZdt4QApJt+wCWoKtiyPUltwmry3ihYTLJnjRBtWtYkATXdmqKZuVLtSSEBhZ5xCWRDwwGofbaq009eiRt/fb+aeJR6Kq72Q35hgARjAefoL7moBSH621ylCzvU2CIAuKAnjyfqAUIu0FPMK4d7AKgFUh+mxxlBtULluioNX3ltWdqE6jNdy5ctxcYnt7Z8zty+AR0AwiVrj8paTrSKm/zunun6/ve/j+7ubnz84x/HwoULsWHDBrziFa/Azp07j9oaDqc8z3va9k3zAOwo1r59+wAg01p6ujU4OIhyuYzp6Wk8/vjjB92+Xq/jc5/7HP7iL/4C3/ve9zA4OHhEs8tEFCCopKanZBsRVCZgFVoPH9TGx1DskvFM+bZ25Nuka3QsBEa3PIEoCdU2bRssl8fU5ocx9MgDKA4swdTmRxEnQCjfswBuZzfiOMb3v/99vPd1r1A+XcQWhfXUJZ/8wEYevR8dy1aj0N0LwzBguwV0LFuN8uIV2PfwbyVQ09qRVDKCSAu7NpnMoaMwcQJjCctF7UPDcmA6LnJdPRi88CUwrZQRjfwGRu67EyIM0Bjfh0LvAHpPS6fgpnc/held2xA16vDH9sHQXmtofmdU+c5uDDzvd+EUs8yBCHzZ9vSqMN2SstOIqlPJEEKEqDqJuDMHw3KQ71+MqJYGh9eHtqemtLm8ZMmSrEsSaXcW8kqX01N0MVrzUHRsTHgNBZII7EwHHG0OU+CrzbYwHUayTZiwX5O+BBjdroWAS/BTDVIAX3IYOJeAKRKAZcoPteYwmbBkAjzIiuxpetIxTeyr++jIkV+WmdlOb634CQPmMqYikMiIVb1OpCarzWwXj2VgODMMvGDVIowMD6Pi+dg2OgkAKisxY0SbTJLOViTCJ4AkrSdMVBoB8olGjZkm8hZw1oJO7AgZugqWct4HoDRYT6fI0JUmOuk9QS1Lqemy1fUCkmun+a0drPW6dvWKlo9v/+X/AABWLV/2tM9jvo5OffnLX8aXv/zlZ3sZLeuqq6465G3jOG6pw56tTlgAds455+DKK6/E8uXLceutt+KOO+7Avffei0ajcfAXP0M1OipzzQzDgGmaR4TmpexHAneHUh/96Efxlre8BYODg7jwwgsPyRzwcIv7HkzbUXmDTnunbF0xE2G1gsiroT4xijjmKCWWE1HgI+YctltA+6IlGNvaWri6/57bUFiyGqZjo3zyGXA7JYib3rsHTz31lGR3gmxLp7ZvOLsTESOsVRDWKoi7ejLg2GQMPaedg92/vjXTepTeWvmMxxdEMjWZfA1QrFGq2QKA9hWnoPesC6WmzcnBME0E1Qoa4/tQ37sb3sQYoukJiDDEnjv+B71nXYTCgkUQYYDxx9ejvm8IIkj/6iovPQXgESrbn0yYNgNu90LEIkJQrcLbP4ynfvwd5Dt7UV5+CtoWLQMANEb3ynMkz7AwAE+CvXltCjAMmHYuYSgDNEZ2ydSCUhm8WoFVlBOfZk4OSLCcC5bPg6DCoq4y9lVqqp1U9VPhOGVDjnuBYpCWtrsZ4OIlk5A+lxN7eiuvYDHkGBm0mgnLFcPnUUZ0rmvbmQkF1sY8+QRNReqvIdNWWksmokgr00id96f8ULUoSb+lZ1LqEUW0L30S1LUYbn9yF7yQoz1vHzCkm9ZLxxmNGhk2Tp9e078/UJh2876DBCz1txUSjy5TsWAk+qepyHyioZttMvJwK+AiMZGVP4fRmof2vAMviLBt+w7U/FA53s9VEzZfB68jNQV5ItTVV199yNv+rwZga9euxU9+8hO4TV40z3/+8wEAURTh8ccfx80334wbbrgBDz300FFdXxRFiOMYhiH9UeYCmmYrEt3PRVcmhMBdd92lJjeOJACz3KLSd0WJc/tByzBg51MtyuTuHTBNhq5lK2Brk3uAnHosnXxO5uXFrl4FvnjgY2q7BGyx4KjtH4ZTKsPK5VDbvxe1/VkAZjATC899PpxiCXEco7ZvCICBYt9CuYFGxZPWS4QBTCeHQv8ggulJlVcZ8wh2oQjDNGHlXRiGidhkiKqTEFEIEYboOuUcmMxSerT6viEM/fpmGVNEa7KkOkmEIfavzwpRdW+w4sIl6D9bmhU2xvdDRAGWvPj3wZIhj2B6CnvvuR2NiX2o7tmOsDaN0uBSqbdbcybGHrlHM8gVsMqdKgXAMH2I0Ecc5WDYpeTae7A7esB6ByS7l7B8MU2A5vMwESPv2JisSXDa117CU/snwEwDJ/V24uFdIzKLMWdnwEbABfbVfQQ8VpOL0vIhFd1TK5JAGrFlzJA6snoYg+YkLDMFYFbStswxQ72eGYYK+9a1WcwwlD+YrvFqjkWit4V6rWlkwBpNXGbc8DXrCvpMmjUCX3rr07UZ9lQ8tOdtdBVy6qY47gVwLaaAHZDmW7YqJZRPjtkIQuS1GKLUCJWhFoQqyWCuFUM/VxOcc8WE2YoRlFYYzJQWG7ptx5GaVlx2ydwm0eYrW3EMiHm7EFWtvDWPVJ0wAGx6ehoXXnjhDPCll2VZOP3003H66afjgx/8IK699lp8+MMfPqoxPEIIMMbQ29uLffv2wXVduK6LiYmJw/I9oYDvQmF2MW0r47h77rkHl112Gd7+9rfjuuuuU8c+7bTT8IlPfAL/+q//ip/+9KdzXk/X4GLs37YZseCwS2WE1TSD0GDSuoDl8qkhq+DoHFwCK5eHEAKNqXF0L1upzFNFGCavNSHCUIrbS2Xk3ALaL3wJTMNArtwBQLbvxp7coMAMAaaJpzbBKZVhmgz59s4kjihGV3+AfEcnnGIJPPCx/7EHEdRqiKMQ1T3bUVy4WAK+BYsAwwQMwGQWbLeEQv9CMNJzJWDEnEN+2uTWx1Ed2g5/fD+476PnrAvQNrAUtX17VHuQ+w11jYLpKTTG9wNIAVjvWalTdM+Zz8XEYw8o8AUATls7Fr/4NZh4Yj3GH3sQ3shuDN/9cyy84HfQveZMGIgxtuF+yWiVOxFVJmTGJYA8M2C67UnsElfWGWRfoSKQLMApd6rkAhEGcHJ5CMdCpeJj31RVMRl7xqdQzsv1VRN/LscysXe6AWYaaLMtwAamwyjDepEFBbUJ99UDOMxAwGM4ScRPJIBAxAgEARtjBoNUD2MU7HSq0bVky7OQgIRm/7FcUwtMRRo5uRnbeBFX35PvmAMJ5JLGtNxOAxsOS8Efabt0ewov5Bgsu9IsNnHAn2qEWWf9pGj7gAsFbAFpTEptQHKyPxgbFnAu2aYwUhmO9PqiY2cc8uV2HACHk396JqyK/UyAGRdCWVS05x11zrVqCNe2kizK44OpOX5MWOfraJYB4LiGuvfdd58yervwwgvxm9/85pBeR0L0oaEhvOENb8Cdd945p+O2t7fjjW98I37729/OiUkLggC2beOjH/0oLrnkErzkJS+BYRh48skn8a1vfQt/+Id/iC9+8Yv4xje+cUjarKVLl2L79u0YHx9Hd3f3Ia+jp6cHO3fuhOu6uPHGG3HllVeiWCzi/vvvR7kscwzXrVuXyTM71MoCsErmOe57MC0n0Q/F6Fy0DMy2wcMAgnPYyS/xyG8gaHiYHt4tpyETABaHPvpPP2/GBGB1ZA/qU1PgiV4s39EFZjLkO7vhJKzUgcqfnoJp2WBOTgnVD1aCcximkRHGH24RM3qwihoeGuP7IKIQ5SWy9SIEh2kmU5tN56nvN/I91EeGEPMQ7SdJ65KnfvRthIk7vplz5URkkJjJJj5uFDwOQHmdGYzBsBzY5S4VEUUGvNMRkE+8mEarXqaVB0j9DwV514IQO6fq6HIdTDUkyBiu+oqB0l/rWow04MgxE2NemPHHAgCfp7/OuAAKtgGfZ9t5lpmyYNSa1MX8qbgeCpzpgwH1pnYbtUoJjOn2FZQl2VyZ6U+6Lgps2KgGERaU8nhqsoYl7QW136lGes4UOK63LAnIEWgiwJQeI82DbG51UhvRZiYm6j46C7kM60cDFDoA6ynm1YAFM9P2JQ1iHAzs6QyYnkKgA1Lda43eD65twTQMNTBARbqvHTt2qfM9EbRg+n3uma5Go4GhvUfGg2ts/76jtu6jWa9+9atx8cUXo7u7G1dffTV27tyJiy++GJs3b1bDdodSJwQAe+1rX4s/+qM/wp//+Z+js7PzoK/58z//c9x55534/ve/j+XLlwMAvvrVr+IDH/iAYpQOVI7j4OGHH8aaNWtQr9exZMkS5XJ/sGpmuYQQ4JzPaCH6vo8tW7bg7rvvxj333IMHHngADz/88IzXX3zxxbjjjjuwceNGnHbaaYe0BqoXv/jF+J//+Z9Zfckuv/xyfO1rX5vTPgEJwJxyB8LqtJpQFFGQie0xbQeFrh4U2jsQ+Q3wMESu1AbBI0zv3wdvfJ/KgVR5ksxErq0dnYtPQiwE3vf+9+PV/+dP8dwlvahslQMIbQuXoNjbn2GC5lqkzTOPYiCt4JFqS86lhu+5Hd6+PRh8wSuRa+/KPDf+2EOoDm1H1ynnoNA3ALNFm3r/g7/B+KZHktZjXjFuhikBFgGt5hxLM+fCKrXDMJliNMleJDIS0XzNQyOMwIWAzRhCzlH1Q4xUvQyLQ2CLCxkfRLovQA3dyWih5EFHAzp6UYuSTFgDrY3imAaacRC1Nmm/kZAsWz1MwJadgjSAAF0KtqiFSd87pvQYa8561LMlyYqh5FgZkMkMA8u62vDg0JhsSwo6B4El7QUp4k/AELUaKYybABaxZHRNM+vQ3stcCDW5qF/HZgA20F6Ea1sYma6jnDBijTBCZyGv7Cwcba1zBWB6y7EZpKdrzYKxeQD2zJfXaGD30N4jsq/Jsf0nFADr6OjAT37yE5x//vmoVCpoa2vDunXr8NBDD+Fb3/oWxsfH8b73ve+Q93fctyDPOecc7NqV5g/u3r0bt912GyzLQrFYRLFYRD6fx/j4OIaHh/Htb39bsWSnnHIKrr76anz4wx/G5ZdfjksvvRRvetObDuintW7dOnzsYx9T5qeFQgEPP/wwVq1addBWJkUQxXGMTZs24cYbb8QXv/hFuK6Lxx57TLVPN2/ejFWrVmHt2rVYu3Yt3vWudwGQUUY33HADPvKRjyiguGKFnAQ6HIfl2267DWeccQauueYavPjFL84AMSHEYbUgD1akDzMMA26bZNrChge3vRNCCIw9tRmmPdPfSrUxkzZf6DfwV39+JSKvisrWx9G14mS4nT2HtAYhBAzDyMZdJJ8N0zxiwCsWAjz0wb06wloFQXUaUb2KyKsi8uoyziexjJjc9LD0Izvn+XDaO6Wo3XYOytyVl62CaRrY+9tfwh8bQb6nH/nOXoT1aVT37IDwqqjtfgoGY3DKnSgtXome09cpMOaNjUD4nsyQ5CJNG0hsNQzmQiRZkVZJTqcajKG4aAVEFMByi4gSuw0RhrBzeRB60m/yNT9QVgoDZfn/oBbIyTvOY2Ub0Z6T7A+Fb1P7zmEGmMES4X3K3ujgyTJlm5HKIeDTpGeh19LkJQDFkk0HXFlcqKEAIUEYM+UkJTOzLvry9RJ4OaaZEcVTK1IdtynGSAEKi2FoqoYFxTym/FCBLIeZqPqReo1rs1lBjWunerKSY80AXa1e1wgjqfnSdFoAsKyrDQEXGJmutzxWc8n9y7WRcF4+nsbaHOogQHPRBCkXMcCgGDwRxwgirjIhHYvh0U1bDusY8zVfh1Kf+9znsHjxYlx00UW47777Ml2q2267DR/60IfmtL/jHoCZpol6vY7vfve7+M1vfoN//dd/PeTXBkGAj370o/je976H73//+1i9ejVuv/12fP/738ftt9+OkZERdHV1oa+vD8uWLcOll16KhQulOJtzjre85S245pprMDg4iHe961247rrr0Gg0Wmq5Fi1ahHe/+90AJLt1yimnZJ5/znOeg3e84x34xje+gQ0bNqC7uxtnn302zjnnHFx00UW46KKL0N3djfe+971Yv349vv71rwNIIy42bNgw63lecsklANBSbL9p0ya88pWvhGma6Ovrw8UXX4zvfe97GBsbw+7duw/5WlL9y7/8C9oXLZXTelqsT8w5YBjItZWRK7TBdl0Ypgm/Og0r0dSYpgl/fD+cjh4FBMJqRYKFOIZTbEOuJMOzWWK/sHDt2dj76AMHBF+CR4iFgGnZagJVvx6XXHIJMEdrEAmuQnDfQ+jVENUkuAprVUReDUFlHCIIYFh24g8WKpaJTE/Ta5MwQUGAPb/8EQApxBe+B7u9C1a+ANOyYZfaYBfLcNq7UFgwCCvnorhgMYoLFifnyeFPjqK2e5uc/kyc9aXDPYM/NoKgMoHJTevRfcZz4Y3sQnXHkzBzLkQSMWSVOxELjof37AMME2cOOHB6BxDsH8qcvz85mnqEJV5gpm0rQFRvBDJLMOIyLiaUeh3Ki6TMQQCqjdaeszHeCKR7PRcoOUzpvKqB1Gy1OWkbkkGCMtnmQ+J6PxOAORrTwgXAIbVgkUitKQiUESCrhyJpVRryNRrequ3aBgDIDy5XQIzaj0onRhFGCQOms0QEJKgWlPKYaoRymjJhyEijRkL75ozJvMUwWmuglLPx1ERVtUWfM9iDTlf6c+mlgx9mmupnQBFGB6q8RZFSlgKRDmNJpmScBF4zPLnxUcQxcNKaU1vuh4CYGlwQaZs2iLJsGl2rw6m8bclp22MkiBs48O/gY67i+SnI2er3fu/38MEPfhD33HPPjD/Ud+7cicWLZxphH6iOewC2fv16nH322eoNfjj18MMPY+3atbjqqqvwsY99DK9//evx+te/vuW2k5OTuOGGG/DP//zP2LBhA5YsWYLPfvaz+Kd/+if80z/9EzzPw4YNG/DNb34TX/nKVxBFEQYGBrBx40alrWqlq9qwYQM++MEPqu/HxsZw22234bbbbgMAuK6LSqUCy7Lw6KOPwnVd+L6P008/HYBkzZ5OCSGwd+9e3HHHHfB9H729vfjmN7+J//N//g/CRAh/KPWKV7wCtm2jfXApauNjqE9I6w0YBjoXLYOlsWyR38D0/r2w8y7akyggvU3GElbGdovoWrYyo5ESgsPt6MQnP/lJtA0uSfRYZksdlcmszA3vYCXBVQAR+AgT9ooHPsLaNCLPQ8wjhLXpzEQiktBqxRxZUuOmW0YQ6DIsRwFMAl/0GgJoZF8RTo0jqqb+W3EoTV2d3gG0rTgN0ehuFPoXo7hwMexSGW53P9xuaU0SxzGCqQlUd25BbXgHvJE9EGGAyPcw/KsfY/D33onp7U/K4HGy1tB+1jTBGk6OyudpIpUxpe+LOZftx3wepmWj5skbf8A5an4AL+SoNIIEeEDZFuyakqxZe95BybEw7gUYT8xZ+wpOMhUZIBJyyhHIxvvQ9KDDDDAYWkwRsGs6PYdm8BWIGI5pYNIX6nlmUsg2VPsRkKxatWnykq4rkACJhB3TNWDNrvm0brcJYOgtt93Tcmq027VVe1JvIxILVvUj9LdJ/VWQiOqXtBfwxFgq8h6ZrisRO7Fb5A3mzKJv1LVezDCStmNOTUvyxJl+NmuMLHBK2S8JgMw539BJ86Xvn8CUzMJMjoHDZ9bmq3XFmA9Nn61KpRL27NnT8rl8Pj9nj8/jHoBFUXTwjQ5xP5/4xCdwww034A/+4A9wyimnYHBwECMjI9i1axeGh4fx4IMP4o477sj4d33hC1/AihUrcNlll6GtrQ2u62LdunVYt24dPvKRj+DHP/4x/vAP/xDlchmPPfYYPvOZz+C73/3unNdnWZYah/3tb3874/ktW44M9T4yMoI3velN+O53v4u3vvWtWLt2LV72spepHMuD1W9/+1ssWiTDeItd3YhjgdCroa1/ISzHAY9CNKYrcNvaYeXy6Fx8khK9h55shZGQHgBgGMiXO2a8se1cHnYuj7/6q7+a0/nFQoBHIUQQIKhXIaIIY5s3gvseIq+OqOFB+I2WUUPZ/XCll0ISGK6DrziJYKIybVt9T0xYrN1gVFwRAbLkmOScHyfrIdYpGNmFsf1DiKMAk0+sBwBYxTLy3f0oLV2FYv8gnPYu5Dq6kOt4DrrPeA5iIeBPjGJ65xbU9mzH3lu+lzk+gULTcQHDg2HKKCbhVSVL5nuKvfPHRmCVyhrLWQQXMnooFgJCxAgYQyhi+ImXFFUjkpYLVT+CF/mqNbmitxP9HW3YuGsEAQ/QV3CUrossJZqd7gETDjPgc5nvOOlH6C8wjHockTYRSZe6FStGRVOUGdAWk0aqNYBgZsqO1UVqa6EHesvjmWmske4vpt3oyJesGkSZgG/JOJlwLKkVG601VIvSCzm8iGNVVwleyDEyXZfbzQJKqBWpt4cbYYRyPgd+AMsYZcdBRqpNYO5QmSZd0A9mSvG+fpwm645D2qcQajaYWNZizkbND1HMHdnYt/n6312bNm3CS1/6Uvz85z+f8dwLXvACPProo3Pa33EPwI50PfHEE3MyUguCAO9+97tVe3HhwoV44QtfiM997nMYHBxUj2/ZsgUvfOELD9v7a3p6Gh/84Adx5ZVXoq+vL2O3sWvXLtx7772Htd9W9V//9V+44IILcMstt+Ccc87Bxo0bceGFFx4U5O3atRuveMXL8fu///vqsVJ3L4BeAJJlm9y9E+UFAzCTOCaWfA5qVVRG9iBXKsPKu7BsW1pHJG3DuZQ/PYWoUUdYr2Hitz9H6fTzEdWrEDEQJdmMcRSgnpiyVocI/HBltkqlf23aDrjvNcXzBKmujTEAKfiKuYBp27L92MR06eCLHqcyLCfNjORcRRgZSIEZAT8RBsrtP5gcRVSroLZ7WxL6HaPQvwhu70KUT1qDXFcv8t19yHf3offsCyF4hPre3ajt3Y3qzi2IDROG7SAcH0nAZXLebglITFoNxlILCgC5Dtn6NUwG0zTQUNYFAr3dHejp7MTDW3YgDKTHF1khVBNX+/acZGja20p40emrYRgGVg8uwPW/ehCjNU9NCwLy5k1eXgTIIiFQD6Wgfl89cXK3GBa3MUz6EbyIWn8pUKI2ZSRiWEmMEH1P1QzQaLqSGQaMpkxHvZqBl74dRRbpk5uDZXktP/DK5+P62++R67cZdk830FdI2WJd29Xs9zUbK1X1w6QNLKTrfPL5QKXbVxB7xUzjgOwXkAJJw0gnG0s5W63hQK/V9+HaLGNiS5q3jIathVh/tjoWgriPv4ohDsMS6X9DXXvttbj22msxNTWlspQ7Ojrwjne8A+9973tx+eWXz2l/8wDsCNfw8DC+853v4D/+4z/w8pe/HOeff75y4j8cny+9rrnmGlxzzTUAJBV60003QQiBd7/73Qf86/Vw6oEHHsDatWtxyy234Mwzz8RnP/vZDLCarZYsWdLy8cD3UR/bh/YFg7DyM0X2Vt5Fz/KTZzwexzECr4bayBAiESOaGoeVL4C5BThtHXjjO/4I//aFvwePAixYcwa2/uT7ANJ2X+7kc+CNyzaoDnIyx+AyOojihnSgpbNYIgwyrBeQMlTNtxfDZIi5SC00/IZiuWgtxIKlLUv5OOmxRBJKbpgsA7xM2wGEzHA0c3mZOanFJMWCJyHgNqa3PY7p7Zuw77e3w3RyKC1dhdKSFWhbtAJ2qYzS4DKUBpeh/9znoTG+H6OP3gfhVRFXJmEwWwr03RJgMo0Bc5Vo358chV1sB+wcGKSOz2RAueCiu0tOZZ6+fDEeeHyLdExPbqTteRvMNFH1Q4QCuPjUFQpo52wLLzljJW64+9EZ+iSfx8peApBAjMexiinSxfkynBsKhEUiRiGJ8ZkOBNqcA03ozXwsx4yMu76MEqJJx/QxXaCfYzJ/smAxBMmLGU/DuDfun0bBNnHDHffijS94Dr52612Y9EP8z6YGrljnpm3B5B1GNhQ8zor5gQSsKANboXzDmitvMWwdn8bqnnY1EVkLQtjMzLQ99SK2i4BQmFxfdoj5j3quJa2BJWa16noewn50gX+Q2GGQCJ9ak/P6padX8bwGbNa67rrrsGLFCnzyk5/Epz71KQDArbfeCiEE/u7v/k6BskOteQD2DFUYhrjppptw0003PSP7r1areNGLXgTgyGZL6jUyMoLXve512Lp1K175yleiUCigXj/wVNQTTzyBJ598Ug0HAMDYzu1w29rQMTC7QNFkDEJw8CBA2PDQGN+PKIoQNTzw+rSysGA5F2Hgy1QBg+EL73kz0NYJf/MjAIBgVIrFrbZOWMmEYcpQuQrUAABiARimeh5ANl5IK92egVqOQOLjMgv4JT0b9ygRIAFRCeBqBcp05su0HUTVKcVwUawTtSPJNDU9oAR6MM1knUKuWZ2EgcrWx1DZ+hhM24Fdakdx8XKUBk9CadFy5Lt6segFr0BYr2LTD/4TQbWivMDo2rBCUTGAAGC5JViuC6dQQM51W06QMsawfNECPLh5ezLZCORyOSzu7UaMGDnHhm1ZmKp5qDR8LO7uwEm9XVjV247dE8lwgAkECZaQmqsYXhRnDFfJ/Z4E9JYJcJ62IB3TQD0SKFgmXMvIMF7y9XI/rmUo0OaYBhjLskzNBIwOxOpCKLaNjGPJnLUZHAbaTc4LOb52611wmImSY+Evn9+mTFflMZPWZSxmgC4S50t9mJtpUQJAKWdhqhGg5FgKBK3uaZ/xcwKg4qIcltpITNQbKDr2QduaXMTwE6uRRsSlDjBx1j9YOcxUOk2ynaAsUWBuOq+AC3iBzCCdr/l6unXVVVfh+uuvV+Hgf/mXf4mvfOUreMlLXoLe3l6MjY3h1ltvxVNPPTXnfc8DsOO8Xvayl+H666+HaZr49Kc/ja9+9asHtcNob29Hd3c3tm3bdsDtDMPAunXrEEURcrkcLr74Ytx8882zbr906RL8zu/8Dh555BGsWrUKAFCdGAPiGIXOrElsHMcI63UE9arUhU1OwEwE+lG9poxXS4tOQm1oJ3jCCgEy7ojPApROedv7sWe9bMcK34O3eyscEqUnN58MCKP1cC5ZJGTjftTzpN8ivRdjiHn6dfN+RRiq9iOggUAr60+W0Ywl66O2owRZJfBaRa3NMJlsLwoO7nuZcHDFgEVhhr2LBYdh2QqcEaCL6lVMbd6Iqc0bYVo2Ok89F12nng27UEJpcBkEj9C5eAGmntqEWMioIgrgNm07sa2IUOruVfpE8rWLoghjU9MYq9Rw2sql6Olox+LebkRC4KSFvSi1SKzIORYWF9PHbScPL5pSFhMEbKYDAR4D3Xmm2n3SOT/dV9BE/NQ16kr/Wi8CZF6UtiCZFujdnC2pZ1fqurSSwxT40p32m9k8Ys668g68iIPzODMhWQ0IfKTu/fowAAEVAKqlq75PdGQD5QIqfqCc8inI+/F9k1jR3Za2HBNGipiw5pIDB0J9pu0PhSmhyVfyLUtBpbSuOFiRXi2I5P/RYs4GFzHsiCu/sfk6cjUvws/W1VdfjU984hO48847cf311+M///M/sWPHDlx33XVPe98nhBHrunXrlD3EXFxomyuXy+HSSy/Fq1/9aqxatQqO4yCKIjzyyCN44IEH8N///d9Pa/9zqb6+PqxcuRKrVq3C6tWrceaZZ2JwcDCzTWdnJ5YuzWoc6vU6Xve61+GWW25Rj9G1GRsbw8tf/nLccMMNcF0Xn/nMZ/Cxj31MDRUYhoHzzjsPL3rRi/Dyl78c5513nvIu27hxIy6++GKMj4+r/ZZKJSxevBhLly7FK17xCrzlLW/JGOFWx/YjFACvTqHU2w/m5OBXpmQcUbEdkV/PgBmR2DWQ6ap0vg/ACkWElQnkuvoRViZglzvB/Qaccqd0Zk8AhT85imBsL4pLJftGgKb/5LXY/sv/yQAdgzGMTk4DzER3QWuJCiGBDTBD6wUkLUdt4hHItjZ1oTwBIHKZb95WB2Oq3ciy7cZmDRqFgZMYXoRBpvVI61bH9qqwik1sRwLmaD/MLaopSDNXQGnhYvjdi2C7BQwMDEBwjuldW+BVphE16mBuCQaTQK6tfwD5Uht4FKFerSIKQ0x7PngsWYhKI8BgTycWL+zHoVTND/CT9U8i5ByeV0fF50nMD4GjWAKw5L7fV0iGEjRdFwExZkC1GYktm/RlcHcQxSjlskCDGZIF00X7unaMrCvi+jREHIMV5VSz1YRXdJd9qoI2TaiXzwVevGIAf/LfWwEA7zi7DYEQWFDMy7DyJrNSh5moBpE6hlyjoRgysq8AAMcyUc45qPgBio6tzFW9MMJE3ce4J99bBMR0rRUXUi821QgQcpGZhtQF+cSoubaFob0jsJiJfFt7pt2ob68DsGYTV/08AaCYc9AIowwAE3GsAFiQADB6rtmUFcAxY8L6dO9PR9OItVr38Ni2HUdkX4Y3fdwbsZ500kl4+9vfjje/+c1Yvnw56vU6fvCDH+Cb3/ymcik43DphANiRqP/6r//Ca1/72lmfD8MQX/rSl/D5z39+1lHUp1Nvectb8K1vfetp7+dHP/oRLr30UgDAmjVr8K53vQuvfOUrsXLlSlhWa9KzWq2iVCq1fO7222/HbbfdpgDhokWL0N/f3zJ/cnh4GF/72tfwp299I3gYwu7sBa9OIfKqia2EBD8USQRAATCqyKvBKcvMxsb+IQXAmFtCVJ1CvncA3G/A378HhUUr4A1vBwDYHb0ZANa3cg123n07eL2aaTNSliGBIXVsLW4nU02MWGpcytN9aMBLHScR4qvvm33Rms+dMhcZy0wcKtClpQjoQIx7VeVaD2CGdk0/npkALVqrYTsyfihh7ABIsGgy5Du60XXqOSroPI5j+FMTqI2PIqhV4ZQ74RQKaOvtB+ccXrUKDgOOYwOGibrnYde+MURxjPPWrFRr2TY0gkW9XXCanPkbQYT/uvdhTHs+6qGAF/HM9KMXxRpLJT/3FdIIoelQIMcMxV4R01WwTDXdWI8EqkGMkmMooEbCfiolzodsRwIzhe4FO51kbI4aao74oe31rEiq6YBjUZv8A6C/TYL07RNVxabVQ4FFbXnwOEaX6yjQRMfVj9Us/O9vK6CWBG/rLvcAMFH3ccZgDyqJbchorQGbmXA1sKMDMIoeotfTY4CciHRtC5VGoJz5q36ofm56RBK1EvMWOyAAo2tbdGw4low58oJIicPzSRbk8QLAnm7NA7Bjo573vOfhrW99K/7gD/4A7e3tGB4exre+9S1861vfwuOPPz7n/c0DMK3+4z/+A3/wB38wp9cIITA+Po6pqSn8z//8Dz7xiU8gl8vhOc95Dvbt24ehoSHs3bv3oF5aJ598Mp544omns3wAwMTEBN70pjfh1ltvxU9/+lO85CUvedr7nK3CMMT+/fuxe/duPPjgg/jGN76hLDJGNm0EADjtnQirFcVUtWK8TNtWzwEpAIu8KkQYwnKLCCZHYeZcBcD8ZFJPb03aHb24bVzg7S96rnps5923Q/he5riZSoT39LUIAwmUdDAltNYgUiBFDBZlJ7ZioEhkT6/XgaBe5O8FrW2o2C9tOEAtqUULVgeBIpnOVMxaAtBIN0ZZjwQmARl4DgAsEd3HYQCndwBWPo+Ok2TSAOkNeRiiNrYfAkBbbx/YLDFKUcTx6NbtWLqwD+2lIvaMjqOzVEJbIY+K18B4pYZFPR3gQuCm+zZguFJDm21hOowQaBmOw7UQJdtENRQKIDWzXfQYkOq5gBREEWgDkGHROvIzW27EuHXnUzNYijjS8yWp1UiltyXluowMi8bMNDuyYLFZARgBEz0DkYrCqqVZraWOQ0756XHNDGACJKAhbRYzDOypeHj+8oXYMV5RAGy05sFhTHqIJX+UOBZTAIv2pzIlm6wjakn/t+qHLQEYRR31FPPqMf04BwJgOshqhFmdl5tcC30t8wBs7jVdq2PD1iMDwCy/ekIBMCrbtvGa17wGb3vb2/DSl74UjDE8+OCDuP7663Httdce8n5OGABGFO+KFSsywdp33303Lr744kPyC7MsC8973vOwcuVKnHzyyTjttNOwatUqDAwMZGwfDlRf+9rXsG7dOpx11lkznnviiSdw2WWXtXStLxQK+MY3voHLLrsM9913H3bv3o1arYZqtYrp6WlMT0/D8zz1Ua/XZ3w/NTWFrVu3Io5jXHrppfjv//5vAMDQkBSmDwwMqOOFYYjh4WFEUYSlS5eCMYbR0VHs2DHzP97IyAiefPJJbNu2DTt37sTOnTuxa9cujI6OznodmgFYWK3ALpUVOGkFwMJqBVYCEMLKBFihqACY7g1mmAxRbQqGyVBctByNsX3w9+8BK5TwC6+At7/ouXjq53L4gQCPDn7IZX5sui5bkHlt3N+rpuBLA17NYEYHYbrn14zJyQQo6cfPWEzopYEvAJn2InOLM5k5QIGzOAqVcL85tkkX7BuWo/RlgGS7mv3L7K5+jHsBYiGwYFB6upm2dLovLVyCUt8CmAT0hIA/XYGRy8OyLNTqddQ9H0EUoaujHW3FAvwwxIObnkIjCHDWqpPQ2VaE5wf44b2PwogFaomXVT6ZGOTJZOO+eqRE9sTuTPoCXhiDmRJY6UBrspGEdtsGdFLLMmcyXDyGZmkx81dg82v0LElem4ZrGTAKbUqfBkC1/mYrHXwBwPte/nzccMe92DZZVx5g73npRbj+9ntkOzGxnQCgWoukA2vWgtF0JE1CyuNJsEP6KwAZQXyl4WNPxcOK7jb1WHveyTjuEzCqBaEy0QWyrUhisqYmpDyh1N6hXPZJhF9p+Oqx2QAYtTTJqqSzkFdgqr9cOCgAK+Uc8FgckwDseGpBTtfqeHjz3AXlrSoX1k9IAKZXd3c3PvrRj6oMyNm6TK3qhBHhn3yytDD4m7/5m8zjZ5555iFn+0VRhF/+8pct4yJ6enqwYsUKrFixAmeffTYuuOACrFy5Ev39qbYlDEN88YtfxOc///mW+1+zZg3OOOOMlgCsXq/P6r5/OHXXXXfh3/7t37Bu3Trcc889mJqawvbt2/Hkk09i06ZN2LVrV8ZQ9khX/8lrAaRAbLayS2VE9ZkB6Ha5E439Q7DL2YDpOAwghIy+0aOODMZgWg5+py0LtK1iO8LJUdgdPVi07nl46tYfApDAY9cOCUy7Fy9IbRw0ywcltI8CAI4yI820EjNtxTRLsdnnSy/Dzgrxm1ucQOo/RgL6qFZJBPip3UTqmh9m9Wr6YECyH9W+pDUkjFjMOaLqflildlilsnytybBnWoK9hXQNBAf3OaojQ/BrVeRKbSh0dsNycnDbO6TofmwcRiwwVqlhyvNR9xo4ZeVJyNk2LjhtNeoNH4V8DkEY4b/v24BKw1fgKuQxGskfSZTH2FewVF7jcE2yKm22CUCCMB4DXFPe651AeljqveT1as/rzJT8rIMv3Zai+cdXj6RtBReAXR1DBMDIt6nA7lbVHOwNZDMkr7/9Hkz5ofL74nGMf73tbngRx756gI6c/PU83giwoJiHF3EsKEnQQvYSPI5RDSIZX5QwY/Q4hAQyckozNU6d8BroKbrwQmmI26rIw4tAkW7c2lzEjI3ulf+furq74YUz/+AtOjZCLo1SXTuNUgK40pi1KmYaqHjSsDfkPMOYmbMwysCxA76A9P50tDTE8/XMV6lUwmWXXYa3vvWteP7zn484jg+YI92qThgARvWhD30I7373uxHHMX75y1/ixhtvzARmHm6Njo5idHQUv/3tb2d4fRSLRZTLZfWf69WvfjUuvPBCnHrqqTj11FPR3d2NpUuX4uc//zluuOGGp72WQ13vO9/5TgDPbg4Ztc3sRPelHm+aBozqNZi2nRHXA1JvRW1GXWNl2DLiuD60IwPEwso4dvz61sxEot2RzYmMk3ZwHEUwkr9WuFfL6KLkwRMmSVtrM/ulRw3JfQYwWD7j7aWe09qgunmrzphR61HXfOlTjQagQBhNNRKjRVYdxILR1/Rz4F4NPArB3KJmphqAuaWMpYUClYap1pjvHUjPwWTwq9MQMMDyBRRKJViWhb6+XkxOVcCqnrqBCyHUH0CFfA4ijvHrjU/C8wM1/QdIYOIFMv+xI2dhuBbCMqltGKn2I+m8vDA1Zd1Xk/sgUOWFcYYBc6zWAElnwiIRZ6wnAGCskf5cCHzpRaCKrCUoHonajj4XM/zEiAHLMRMbRutY1GYjx0w8NtbAig4HvQWZizod1MEMQwrutT8gx70A++q+0pIRM+haDO05OxNdBEABrE43j5HpurKYqDSyvxMplHu01kDeYphKtGHEnIVcSAG91q5PrSGyf0C4tqXaiNK+wkBnId8SlAGpHozMXpnFwGMTXhjNGp0EZKOcCCg+3ezHOx7agBecfdrT2sfxXjFmDovMlyzDMPC7v/u7eNvb3oZLL70Uruti06ZNuOqqq/Ctb31rztrwEw6A3XXXXbjrrruO6jFrtRpqtZTF8X0fv/jFL+aMhv+3FMu5GQaL5fIZWwnuezAYg7tgMYKJbJuT+x6sUjrVZ9gOYt+Du3AZgkm5bTg+ArurH/7wdoTjIxj95U1Y+Lo/VuyXei1jiBPWheXcxNaBKxZMCu01a4lk8lG1HXUGLjFe1f29RHIeVMSg0Wcg6yGmgJjmxm+YTDFdRhJAjibmUme/CHAZlg3DspVQXz8Hq1iWZq+J4N8qlTUdGEvYMRsxD5PttevNGAyTwSoUUQ0FnNiTANHJo1QqorOjHaViEVv3DIO1+MOHc4GutjaMTNcx3gjQnksDvF1t0q4jZ6IeSuE8F8B0lIIsajWO1Tl4DHS5JqaSx5hpgAFKr+UwA0ECrIjh8rkEb5ONLEDiPEbAY7UdaccK2pijwwwQaZYGdqdATH0WWQG+XjntoIvaXOyv+zi9x1XtxnEvQHcCnMjn6zUXnYvv/+o+fOLWCXzkhXL6kvzEegs5FedELFh73kY1iFTLsdLwZT5kskY7iTZyGJNxQLNmPAr1udnPi9qGNNnITAMRj1H1w4xFhjx+IK0rLAbHcmRsVT7VizWXw1hGW0beYlwIDLS3HhY60jW+bx8ae3cBAAbOOPeoHPOYqBgQ8zYUmTrrrLPwtre9DW984xvR29uLyclJXH/99bj++uufVgrNCQfA5uvYqeGNDyHyqrCL7RBhAMsttfTYAqT2irnZX6xhtYLCwFI0xvbBSVqSQOspP398BOHEKJzufumb1aJYqYwlF7xI6cMAtBbFkwZLY9F0jZRe1HIUTUMWMyYs6THBFfjRtVj6eUk2K71JKwCl2U20mrjU9XVmMt0YC66mHq1iGSiWFfCacT4mk5YepolYTAKGmYkdAqQHm2k7MEwTZUsKnidrDfBqHaMTU1i0sA+2bWPNssXYPzGJLXv2YvXiVHtoWwxnrViM05cN4rE9e/GLx54CECvBfTVIva4cZqAaikTwLtkwLqTGCwC8UIKmcU+AGVAtSYelGrCAx2r76YCAnrSacEtMhXLrlcYOye/rkYBlyunKaihQACBigDqWBCBJLE/flxyW0XxREQDryEnzUsq7LDkWdkx5qvVI9c4XXzBjjfL6yP1sm5TmyEvbXQXYZBh3jKFKHQPlgvYaabTKhciArl1TNSzrbEMzm6VXT8nFRL2hfLeUHkt7iaFYSF1HFmcE/XoVHVsNFOhWGLMVM03FzjmWFtjNxQHbpPM1X4dbjzzyCE499VRwznHLLbfg+uuvx0033XTQwbpDqfl37Hw9K6XbULSqYGJUtQKF74H7eRi2g7YEkAHIaLIMlvhsEYMVBcgtXAYAGLjsPfBHdsFdshq7fnsHosoE4tl+yZss0Vplcx7jpHuitx3Jr6yV1YTMe/RSfRdpy5omHan0tiO52MM0Zwjs9bbizLWbMNBiEEDzEiPPNBkejrT1aMoJyYyVBU882Wwno9Oz7BzMhKWjtUhfJh+Pb92Ozo4OLOrvQW9nB3o6Zjquj03X0N1WxOlLBnD6kgHsHJ3E5r2j2DYyCi/iCLiQ7BczMNCWQ09HB4qOhceGxrBtrAZPc8RnQhqnuhYyoItKYpssoAqidHqSygvTzEiaeuSx1JwFGhvgmJIBY2Y2IByQeZRqO2Yi4LECE2RDAUih/Vd+9ht0uzbu2zut9jvZqKHblYHiHTlLMVpf+dlvAACvv1iKmYOL70I9AUEdORvLOwoKiOypeCg5lmLBphohKn6Acs7BSFW+b5snEmtBiIFyIevdpU8mMoaQC+wYr6Ccz773uIjRnnckAyditOpc6YCK2pa6g79e8nF6jVzDwaIfnaQ1WvPT93kxN/vvlvk6cMWYaRr8v7k45/jgBz+Ib3/729i/f/8R3fc8AJuvZ6wWrj0bALBn/b1wynIakuXyM1gnEQVwOnpmuNvbpTKqOzdngFpjbF/SarMV8LGK7YgFh7toBaLaFJzufgRjIxntV35whdIv6UJ2tYZwprC+eZ3NLUfKeVSPMRNxRKxXU/tNZ+xMDeQ0M4LNzvYUK4TUWkLuIzkHMtG1bNW6NG0HhmXLjMhkWwJvmTYlM9UUpMyXFBKYmiZgGmCOZCRN24ZpObJ1bNtA6AO2g5owUISBvGOhjeUwPDkN0zSxc2Q/JqensXRwIcqFLIO2ZWgES/qyqQhLejqwpKcDv3PaSvx841NYM9iDDjeHfZU6lnSX1U37jEWT+KfbH0zbjYn7vcOAapACoWYT1IRgSnIh5dc8JnCROt7LbWjKL3mtSL3H9IDuOAZE4sBPr50OuAILhMVIE0Ysl8MM3HDHvQp8nNZTwKQfggsJ4EqOhanEvoFe75gmAiHwlZ/9Bu956UXaecXYOukB8HBaT8oeD9fk/6OuQi4J0uYo51K3/va8kzFEDZHaWFAeJGXL0jY2k+3KiXpDAbdWGi3y6SItFhfxrKyWazPYLAtaWxUZyeoO/RKcRsq3rLkOV4Cv67+6+vow9MgDh7Wf47mkE/4RGtA6AdKgzj777Gds3/MAbL6OarGci6AyMQOIke1EzIU0X02YmlxXP0QUZBzwqQxmwi53IqxMAEDGEwxIAZOZc8GrFRi2jaAyocxNJQuU/hfIACKNqWqOGJKPpTmOFDnE67WM1YWuH9P32Qy6pPdYiMyvvCaQmLGxSMT4OgMVR6HSfFFYOIEyXYhvWI5mgyGkTi1h10y3iKgyoTI0SaNnEkCjsnMI4xhlVwrGeWxieHIarmOh5oco5WxU6g08uvkptLWVsHKgH4V8Dp4f4P5te7B8QR9mq99Ze5L6+qTeLIuxed8kvIQZqwYaK9XUReZxjJJloJpg4FKyG2LKMtsqdit7p2g1JUlMmB1LBs2ix5IfU8k2wZi0paDpR92iwos4mCEX69pM2U+s6pLgaedUfYbonoAYsWdf+dlvwAwDHTmpx5pO2FhmGgi4wJKOInZO1lANInQl2jAaDnAsE1N+2japBaECR40EmNrMhGmaEFqLMuByKrX5pky6LzmdmLV/UNskOq7m4O1WVcw5qPkBekouan6ggHfFn6klJF+zroKFoalqhrEZKBdnbH+49b9K+zVfR71OGAD2bEz4HS/1bF+b0iJ5U23WLUX1GqxCEablgENrcZXakevogTeyC47GYkWenJTUAQz3G0qIT8cQYQC7owdxFCj3/FZ15qK+DDM0Q1eVgJ6M4arWcjSYqdzqs0wYkzov2g/ps5r0Y81TjgBUy9FI2o/0WPO6aG0zBPrArGJ99XwCxOS2yWfbhvBq0nvN93D2SYth2g6sUlmdAzGPJmJwSM3TvqkqHIsh5BwuLBRzNmqJYBoAeGUaN+0eST2yBMevNm7BC05bCcMwMFH1IGKB7rbsTXO6EeAHD23GwvYiXnLqMgDA76xZjPu3D+GpsboCXV4IVBP9mO5R5UUpM0VslsNSBoyAGAEELmQ0UXNrkoAY+YJFIgb65HospEHfzEzBkoU0HJzAD49j9BUclck46UdYWMwhEAI7p+rJsYyMLouZBqaTaca+Qk4BnifG5HtrUVsep3QXVTwRFYn591TqKDlWBpz0FnOKSSrnJYAuFgsoF/IYq1Qx2N2J/u5OBGGIp3YPYbRSS9by/9l773BJyjp7/FS9FTrfPHfmTs7AwDBkRlBGTICra9gVBF1WXFfXvKvL4ldXl6CyuipiWmXhZxYDiiSRnDPMMMwwzAyT452bO1V3Vb1v/f54Q73VfSfBZO55nn5uh0pd996u05/P+ZzDiZpcJ2AROlvz6OnsQDbtwjRNHDtzClau3wIgSmjhGqFXuoKdBNkDXHjvU4rObBp+SIXRLH9vtVHyH6XH2KGIg/0ZvLfYZy3II6ACtj9xxBCwMRya0Ev4tO7xKswoH5Ikk+UVJFFpKa1eilTPVISaPQTAcxUjkcWoyEHgg3pl3k4TyxI3jVBOWWZ4hcEf6FXbiRhVVTYgrn4ZJkEktgnEk4/M95TgHoCadjTdlFiu1hS4rUcMySQAPbtStQ8TrvusiQgCUJUtPVII4CSOpLO83Wia8fEEvgreVuRSiO/5+jZMNw2SziXarwAnwI3ie0Nq4wSqNR95UQEjJhdP95c9TgZElUWagAJAX5UbcaYtgpXb+1ALQ7x5/ly05dLw/ACVup/Q7eRTDt55/Ezc/sJasCiCaRiwLYLjJnZh3cAG+DTWeulu8/LCoevAuIu9vM9/0oiTK71qo+vAgOTUJLR4opBFyFim1m5sNHqFmo6UxyO9zfi+eRWvJM4Nn7wUVSqR50gMQ3mcuYRXrmRVTQ4JrBn2MK2QghdQRSS5zYTMv5Q5jQS9JS/OWBSn2acUM3rGY5JoCU/VKpOObWPWlMkI1m1Ee0sBLbkMLEJgiRDuRkRRhEI2ixOPmom1W7ajWq02xQxJ8tRUSRPbqwUhbELUz9E0Yn5IUQupaqEOVmuKFMqJygVHz2labwx7jijah2HchyYfPmQwdnrGsN9R2bqx6blAtCEBJNuKDRd6QHhjhX6iFQgAYbmYaDuOpqnSX3e7eoStAycX22/5Kbbf8tN4YRYTpkQrUWnCzMRPdXzCfkIK2ndW6QI0IqVanaZ6j1HYMFWjtQ/1KlijySqte03TlKbtJAimXM+wHEXSYMbebBGliWOR22FBACKIrWnbMAhBWK2gJe0goDSR5ydRC6ky3SSmqZzbY48rilW9A7jxsefh+QHSIm7mhY3bcctzK7F88w7UghCtmRTOP3kubnr2Zazv55OtacdCzjVxXE8L3nxUD/KOgbQNVOqRIjZK1yUqSlK0L8kXJ29iajKSBDImUX7Iw7rrNFITmEDcjsw0pG/7NBYtW2bcdqwGDNWAt/IkwSJmTNhcYsIlphLvE8NQ04ASGYuo90FMTg6nFVKYnHcxOc/PZ86xkHMstKdjAttXrSNtEZT9EMf1dKnnaQRUmIFCLosJne2YNK4DURSh4tUQhCFqdR9rNm1D1auBEBPHzpqGnq52ZNMpuI4NYpqIhEasXK1h3ZbteHLZSjz94ioUyxUQQjB7ykRMntANs6Hl6AUh9/oSf2e8LbnzS1DOtdGSctCWScGxyE71XsVaHUMe/wxZM1DCPc8sxT3PLN3pdscwhkMFuyVgH//4x/H8889jZGQEIyMjeOyxx3DeeecllvnKV76CLVu2oFqt4v7778cxxxyTeH3WrFl44IEHsGXLFnznO99ReXIAcP/99yOKIlx00UWJdS6++GKUSqU9fiMnnXQSTjpp1/36D3/4w7jzzjsxadKkPd7ukYA9OTcHAtJ0tJEYpMZPRkQZSCZuQ7ndk5usHSTMhsoV1fIM5X5Y6Cv/KlouqsqRbLHlZ8/H/Seej5HT3hGvZzkJDZg+0Sh9vvT2o2pNShLDaOwTpgdsIyZefPmaqlA1tglH8wKTYnvdyHVndh6N4NXC5HCDJIyRmLgkmWyCcJqWg5c2bsGLa9cjCnzYuTzsXB4GIfBHhkBSqcT2HEKQdW20ZVIgpqmsBQBeBcs5FrqyLsp+iAEvQN7h+YqDlQpueuJ59BXLsAnBcVPG47SZE/HYqg244pZH8cKWPliE4Jxjp6JfTPDtKAeY2tmBL5x7Cj72hnn4xnvPwEffcCzmdMcidFn90tsolMXEK14uroLpNwBCvD56FYANbAEb2JKYjoxjjeJbxjaVB5hDDIzLOLxKx9BkT1EXPl40im0pJCQhy1gEGSuulLUIHZh8nyP1AOV6iJF6gPa0kyCVFiGYO3E83nH68Tj3xGOwYNY0zJ7E43HWb9uBJ15cjYeeX4GnVqxG3/AIVmzcikhsd6hYwvOr12HJyjV4ctlKPLZ0BR594SU8uWI1tvYPoh6GqAUh/nrv/bhHfJ63txSwYM4MdLXkkHXsJg8xCdMwVJxQyrZGDdQGePUsbVtoSbsopBy0pBzhoj86bGLiwcXNiSMHC4fKZ/CeIWr6n3iltzHsGrttQW7evBn/8R//gdWrV8M0TVx88cW4+eabcdJJJ+GFF17ApZdeis997nP4x3/8R6xcuRJf/vKXcffdd2Pu3Lkol3n14Qc/+AF+//vf4+GHH8bVV1+NCy64IOEI73kerrrqKvz+979/xa71+Xx+t8t84xvfQHt7OzZt2oT3vve9+OMf//iK9nW4YU/Ozf5Cz/yT0LtyOWoDOxKie1nViuoMlhY3xOoe1yg1VMFIOodguE+RKiKCpPX1ZAtStig5adL0Ylo1rLR6KSK/Di8aheSZMRnZE8JjumlhzCrXMeMqVbiLv2eNfBmWrSpgpptCWOYVH7161hgmLu0wVJVMkDbippvsKiJGgcCPq1/682jOuyyNDMEwTDht8xoGHwhCg8AGUPNDDFVryDq2av/IKoUX0IT3U7kewqcsYUrq0wgbhyv4zWNL0JrL4+9OPQbdLTl86KwTceuSVfjDky+i8+yTMKE1h5On8civeRPa8DfHTVXb6Mqn0ZVP4+gJbfjYrx5OGLACyUgh/b4sYjZqwuJl4/amDss0YAQ+iGEgBBfhpy1DWVJI6O/z397+evz77+7D5lKAcRlLVbx0Eia9wRzThOMmvxcT04A+oSEJl2wx+pSh7IcJvZcycJ0/Eyax8Jb5s5HLcZJardURhCFM04QfhNjQyw2Mdf1U4PtYvmYDqn6AIAjU7zdlW0oAr5YVjvee56Feq2Hp6vWYO20iUo6DmVMmYaRUxpot24UYv1nML+GHNEHA9sTXi7vu7zqD81DAwfwM3luMOeEn8frXv36vltezqHeH3f6F33LLLYnHX/rSl/Av//IvWLhwIV544QV89rOfxdVXX63IzMUXX4wdO3bgwgsvxE9+8hMAQFtbG5599lksW7YM69evR2tra2Kbv/3tb3HOOefgE5/4BL7zne/s8cHvLS655BLcfPPNAICbbroJlmWpcesx7D90z52H3pXLY1F7A7mqrFuh7qs4IGJyjy9GVXXLbu3C4CO3o+MN71TLS1sFuhOiQzI5RVqo5mWVnjQT84aWwTCkhku41mvTjwAnbaYTa8v0Kpg8XlVRCv1R9W1AkkglxPXS9kG+H0p5LJLyHwvU8/FznOyZTloRKkPbrmohimPSSVdEWRzMrRE0ndwZhCgS5w/1q4B02G4s2jdNmKYhgpZ9FT00WK2pAGYAGBLaLykSd0wTpSBUAm2HmBiuUeyoDOHau57Ee04+CnPGd+LdJx2N182eiusfWYr3n3I0pndx4n3ClLidpiPv2rBME6F47/JXlLaR8A3T25D6Mrr4PiZvfNpR+oLJyCIi9GO6LYW0m5DtR/396SCGoUiXzmOqLOnKrwK1DaOpkqBCsIkJH3zKUYr9fcrQ4toqishyXGTExb/s1fDShi0YLJUVkZJkqJHsUMYwUqmqC3HKtpSeD+DxQXKysbEN7dXrWPbyekwb34WOtla05HM4Ye5MbB8Ywra+AQA8miygFCYhyrqiEUrXJoimaRx6iu6bHnkG8/t43u3sd198kI9mDPsDDzzwgKoG7wqGYSCKov0Xxm2aJv7+7/8euVwOjz32GKZPn44JEybgrrvuUsvUajU89NBDeN3rXqcI2Be/+EXccccdyOVyePzxx/H5z38+sd1yuYwrrrgCV155JW644QaMjIw+tfZq8ec//xmvf/3rFUN95zvfiT/96U/7ZV9j2DWc1k6w0E9UpUg6xx8HPmDH7YUo8MHERCOApmxIFviq7Sefa2pJisqO3daJQIs3CkvDQHumKSA7DuHWfMGEPk1vjUaM8oqXSRQJlC2/KPCTbURd76JbTOhTkEiSLWklETV8UZDeXZKgNZJa7uuVFN8r4iWIZmxHQePjMU3Vso0YhV1oiwX/iAlFxBgY41YUxZqPcj0AZYxHyLgGKn4AL6AqIoeYBoa9EDSKUA2Y0kQNa3mLfkjx80eX4ar3LgIAdBcy+NxbTsY19y5Bdz6DfzwjKW2Q6zy3qR83L1mPUo0iZcdCd6n/Up5aFKCMa8YcAqChcCK1XpJMOJahyJeE1aBrkqRJJ186xmUcfPEPPJLMIQaGBTFyiaEmQ6VJq6yCSU+uRjsKRcpMI7aWEBOQxDTU72akHnBS5jqKfAHASxu24OUdg0hbBCnbUsarxDBUFiQncUkPsLRtwQtCpGxLZTU2/R5EDiMxDeVsv71/EFv6BzF1fDdaCzlM6GzHuLYWbN7Rj0o5/jKUsi1U6j5SroNaEO6UaEmilhWawVoQIm3GQx/AzlMDxrDn2Kci/CMAb3zjG/fbtveIgB177LF4/PHHkUqlUC6X8e53vxvLli3DwoX8j723tzexfG9vLyZOnKge33333eju7kZbWxt27Ngx6j5+8pOf4LOf/Swuu+wyfOELX9jjN5DP57Fo0SJMmzYNQBw8DQArV65UAdkTJkxQifRyJPgDH/gAhoaGEs8BvF+/s5Lx1q1bsWrVKrXvXfX1n332WaVjmzNnDnp6ekZdrlQq4dln42lB/T00YmfvaTTo72nChAk73e6BeE/nf/QT+LeP/pN6HIvRI8yZNw+5Gt9m/0gJG/sGtIpTCBgGJzqGiRNOOkttY8WGzfCCEMzn0SQGIWB+DaaTQkc+qww/q7U6Xtq4nTu7D5TBvCqijdvQW+Lj/76bgV0ZRmba0Vi15BkMVGuQlt4RDVQoddoimN2e5WakAJ7fNgRDXpDFMiiWELEIPWkTbeKpoSDCthoAQ3yoRRHPbBH7OCbPSRZJZ7F6oIxaZKjtmbaJKGRgQYT2lIGelIOIEJSGBrE51YUoEoMBpqGqb1GphpktLtyAT1xurYYYCnyYriCr5rA4XzbSKRfHTC8grBQBk+CFHSMw3TS2DfJlnn5huRqWmDF9Btq7ujBc8TAw0I8NGzagJibVQkG+yqJVNWHmXOU7NbxlI0K/BgO8/WRQhhHG43xINgcUuNWIX6shGtiKP91eQ1s2rtqdlgJWb9mMz/xiMxbMnIyz505EZcdWPL9yDRZv7ke1zo9hgrhoMMvBYHY8akGElG1gfGkTQm2KUcIwgKLbjpqTAzEB1y+jpT6YWEZyL4cYqHfx1icBwKpFWDvWq+Uigxua8j+UPOy2TvR7FAPFQeRLvQhYhDqArM0nIw3TRA1Aunsi6qYYTujvBaplpASTK4VckB8hAnFcFCZMQdrmwvr+dav4lKVq60Voz2cxvjWPzgmT0FcL4Yc08b/98tZe1MXva9i14FOGSbOPghdQ5Fwb69asBvXrMBDrsixxApxcAZ3je7hoPqzj5VWrofOkkDGMDPAvNuOnlNFWyKFcD7Bj2xasWLoEtmUhn83AEf87lPLEigmTp6rK2tIlixEyBksQT/neAGDi5MnIFloBAEODA+jdukUZwUpT3ZBGWLRo0QH9LO9dsxJLq/wasmjRop1+lu/N9elQwL5rQR56Vcu9xUMPPbTftr1HU5ArV67EggULcPrpp+NHP/oRfvazn2HevHnq9cbynCzF6QiCYKfkC+D/kF/84hfx6U9/OkHe9gc2beIBq+3t7Zg9e/Z+3dcYOD738Y+q+yz0hfdWw99IcRCG48IgmrjWMBTBktC9wQA53Rd/l4giBoPwx9JGQr0W+CDZvCB4hlpOHZvfYJ5qSIJDgKghBFvXnkTCPsIwVQtT2m405bPIK5cglgDXfSnnegjip95PJAYEWKJiGDEq9msioiEPFjcMwDBgaBYUfAfCZoOQ+LybBKZlIywXeXWRUX786ngNXvELQ7AwhGEaqPkBOnI8W1DXAlmmiXoYImNbSoDva8KoWshQ9EPUQgbGXR0ScLXJxZXbB9CI2eNacdW7FmLJpgFc+sen8K17luLhNdvh+VIHFYFFvMhIGSC7ZRU/Uq8xRGDgzvZMxK3Uwwg1TWwvRfLxuec3n0Yo+7wlGYFfVgIWqffSaHn1xb9dJM6LgeE6QyXgx2EYhiIYLjES+5MVsFrIUAsZbJNXwlgEGJD5l9xmQrYmLdOEAQMZ18HkzjY4loXxbQW89cR5eP28WYljmtjRBmIaSFkmvICK9h7f+UgtbpGHjKkqmFzGMk20pJymkG2pv3ItAtMAGr1WM7YF0zAQhCH6hkYwMFIEpRSEELTkczh65jRM6RmPaRMnIJ/LwSIWwlE0Yn5IkXVtpGwL1k7a/Nf/7w9GfX4MYzhUYUAGpe0F7r77bmzYsAFf/epXsXbtWpxyyil45pln1Ou33XYb+vv78Y//+I+73db999+PZcuW4VOf+hQA4IknnsCyZcvw8MMP4/vf//5uxYtPP/00TjnlFPXNYk8M7z75yU/ie9/7HgD+LWh/E76Djb05N/sL25YvBgBY6Ry83k0g6VxC7xVRhqA4CCvXwoOjM1kE5SKiwEdYGYHb1YOwXISVK8C0HIReRbUmDZMgLI/A7ZoI6pWVX5Y+xQgI7RSNpwKXbOTfPk85/jj4fVu5LUNlBCQd68ZkCLdafxdB2NIvTG4/LI9wo1cpYtenHsV9fXv6ccsBAGksO1oYuGxDUq+s7pN0NuE1JiczTREjpA8TkHROTX4SNw3qleF2T4ZhEjy7ag1M28EZZ5ypWpBBBJS8GmxCUBSByP0VTlhbUg5vQwrytrVYRUvKhhdQDHo+dlR9pC2CbZUAaYvbMuyohmh1TfR7MteQn4fhOsXE1iz+5Y0nItMwPbd0Sz++escSVDQnfGIANW2WwjSR0FPpcUH6OhKybaleU+71DesIdpEf3JCoiAGxZxjftoGvvHsRvvrnBwAAqwYDnDkpq9qPDjGQF5qrUhAq4gVAxQ5J1ClDXiO1XkATYnvpdD9jfCdOmj1NrRdFUWLaXGLHcBGPv/gyf382wUgtQHee/60ElCl/LdnylPuRREu2OqV9hGnwdrNDTKxYthSmYeCY446HJxhw1rFFZBPjkUgpbl+Sy2YxrqMNuXQqcZyMMWzYsg00jPVmAPcIy7q20oRJsb6e/3go+3+92s9geZ07EOgvlnHns8v3ybbm5swDdtwHCvPmzcOHP/xhzJ07F6mGifAoivDmN795j7f1ioxYTdOE67pYt24dtm3bhre85S2KgLmui9e//vX493//91eyaVx66aW49957MTg4uPuFNWzdunWPl12/fr26393draI3jlTszbk5UHAKbWCBn5iwswvt8Ae3w+2K25qG7ajJR0AYsbpJEXy9b2vswaURDBnWLRGWizExCX1eyWEMft/WmIikYzsDXuGKyRfAhe+NJAiCmJlSJC9d6gX5irRYIAXtvnSzB3hrVr4ymiGrEvtbyQlHk/CMy7BS5DmQgoTJbdDKCIxCmzKTlSRTBXKL4wnLI7AL7RjX2ak0a4b0bWIRiGEq8sUiHsQstV4VP1DTeA4xMVLjj4frIeo0wnA94KHTdQYvjJCzTW7XoImnfMpNTnuLVXzttsfxjgWzcNqM+O9h/sROvPeE6fjLsi0o+XVV6bItoOTxQ3bQLLnTMxql/5d6LaGvip8fLboIAIxsHgGSejC5/Uail7YIvCDAjir/m5nXyb9QDnq+ImRVxjVx0oQViImYtJ1QQwxiGan3kmava7f3o1Kr4w3H8TYWYwxklOnAzpY8YBhIiypY45BAQBkCJCciHUKaYoR04iW30drWDlOFbVsY8epKQM/PTbzNcqWCeq0mKmFZhJShkMuikMti2qQeFEslDJUqKFeqSNkWUra1S13SoUy+gEPzM3hniKKxMO6d4dRTT8WDDz6I9evXY/bs2Vi6dCna2towZcoUbN68GS+//PJebW+3Lcivf/3rOPPMMzF16lQce+yx+NrXvoZFixbhV7/6FQDgmmuuwWWXXYZ3v/vdmDdvHn7605+iXC7j17/+9St6gw899BDuvPNOfPKTn9yr9VatWqX6+XuyD2l3QQhBV9fok1VHCvbm3OwvTJh3ggrnTndPTrxmWg7qfVvUY1qtoD7Qq9zoAU6eGs1GdYsHkskhrPDhDVouJkhSFPpgWntPTgVO7e7C5E6Re1j34tahV0b/fX9S6wJQVSQdOgmS67F6jec9UqrF/TT4FZnmHvl4hZWRZhsKKfQXrVIWcL8zHnUUjEradESiYpiwnVAB3EQRwWmTejBz+nTUh/sT60u9DRNhyAAXYMv7UqMkCQMnY7zVFjJuRMoF6PyCXg6Ytm3+us+4AeqAF+Cnj6/Af/7pYfz8iVUYrHDi976TZ+L6i1+Py952Ao6b2A4DQKXO30JKnGqf8qqYzCuXt1qD64hcno5y0Wkka5IAFN12BLkOhCKoW05DSs7ylXcvAgCsHwmxcHInprYSDNcZxmUc9FX5e1gzHH/xICZQDSmG6wHqlKFOmaqC6eRQnSfGpx3lpCUxeFWqd7iElzZtQxRFo5IvgBMnVyO8aZtw0qX1UG1iIqAMtZAmnpfv3wsoijW/iRB1jO9B27jx6m+hEcTkpE2PKArCEIPDRRRLZWze1ouhYgmGYaClUMC0iRMwa8okpRurBaEidLWAe4/tysj1UMKh8Bk8hlePr33ta/jjH/+IefPmwTAMfPjDH8b06dPx5je/GYQQXHXVVXu1vd3+9Y4fPx6//OUvsXLlStx777045ZRTcO655+LOO+8EwL21vv3tb+MHP/gBnnnmGUyYMAFvfetblQfYK8Fll10Gx3F2v+ArRLFYxI033qge70xIPoZ9j64Zs+NpwtBXAm8AIG4KTvv4xPKmbTdNKDoiLFqSjfSkmeoxrWoaKRpH9xi2rapkQAN5ktOUdU/dL8w/Td1X05CUwrA5EdPbkvw1ltyuIFhqn+KCarqppP+XRnr21GDVsJJVwdFg2g5gEgTFodi+gjLYrZ0JfzPme8oNHwCcDu63ZQrz2VRHt7rYlbTKlwQR2iCJkVqAEY3l7KjWURY6rbxjwgvjdYfrFCGLsK0cYls5xHCdoeQz5TjvBRFGahHWDNZx03MbcMnPHsJ//vlZPLOhH4iAk6d24qq/PQk/uuhMzOvhlaVaEJut6pYT6ryYSb1WLYhvfNlIu8Xr6iSMmPzYZCB4NWSoCi3VFe+JJ6Ym5S08v30QM1uTjvUSA2IqtFEH5oo2oLSr8BPB2MKwVRhd+pTBCylG6gGIaWDlpm247cnnce+SF/HYiy/j+TUbsWrTNoxUqkqX25bPNcX8yClWINb2pSyivNz8kCb8u2RFzAvoqJFB5XoAxyJNxqoOMdGZS4OYJgJB3KXHGABs6+3Duk1bMDA0jJBSpFIuJk+cMKoURZq42oeBD9jhhkPRiLWtrQ3XXnstVqxYgWq1io0bN+KHP/wh2tvbE8utW7cOURQlbl//+tf3yTHMnz8fv/zlL9X/kvyic//99+Oqq67a6/3stgX5oQ99aLcbufzyy3H55Zfv1Y4lRhvxXL58+V55aQCx0d2euudv375d3Z8wYQIWL168V/s7nLC35+ZAgtZrMIiJ3PSjVbUnGO7nTviCGLC6B6e1U+m+vN5NCaNRaboqQXIF0GoZxmh/Qto35uLQAEwnhbRl8qBtmSOZbUFYHAIT+ZLSHDYKfG7dICpRLAgS4dy6Pxg/MJ4BCSGeT7Q3tePV34vudt9oNku9chzqbcd6MAY5iNDQ5tQPJfCV64JhO2BCNyaPxSAETkc3DJPAaetEuVSG6UZoK7QihdjXyvNjmwBpwKp/0LanHYwYgZrMy1hEWDkAwzUKx+SROjuqFBOyFobr8cXbJQYc00ApYBipCfJBI9VmDCNg8eZBPLJmEO1ZB+86fhLeefxkTGhJ47vvOw1f/csLuHdFr/oV+5STMEe7PhOtStZYDdMhrSfkulIzRkwDbuQDBlA3HHght6kgRpJ8/fvv7kNriqBOGdaP+OjJ2dhcqqnttqbi+CGJsk9RBkXaIsjYZpMtBT8e/lw+7eLEGVMwsaMV67b3YcSrYfq4DhSyaeGHxuAHIUpeDf3DRSx5eT3Gtbfh6MkT0NVawJaBYVWt1I9BVr8oY6CRyQXzmiasWPMFKYsNX30ROUU9ESruxF+qOGE1FWFrDOjWHfIlsfdqddAwRO/AICZ0daKtpYDuzna05LJYu3nrYSkXOZQ/gxtxqBqx9vT0YOLEibj00kvx4osvYuLEifjhD3+I3/zmN3jb296WWPbyyy/Hj370I/X41RSEdNi2jUqlgiiKMDg4iAkTJqjXVq5ciWOPPXavtnfEhHHLEeI9FTl6Xnxha2TQRxr29tzsb7CGqpFE6FVQXbcCVq5FLceKfoKsGLaDSCMlev5jxCicjvEqmFuHTmwkXh4owSAe5vdwuwq7tUtVg/LHnoba5jWIKMXAQ7ej623nN2mvGkXtOiRh4wuOEl4sg79lPFFDILY+YamqbX4ceSS9z5jvxYPeQtRPi0MguQJIWmjK6h4nc14ZUTqLSBjcGhCaNkYRBQEgpiZp3cOKdRsAAKd2dIlNM6QcC6ZpKNuAWhByQkDiVla5HsQ6JmJia9lXwdSyRVfymQjIjlSLL20bKPkMeceESwxMyltYPRgiCLlIvliL5FuEQ4ByzccNj63FL59aj8+efTTOPbYH/3necbBMAw+uir9c2RZvTwJAQfCCIIwrWqmG7nDOkUQhSdxoBNFKjWAObYNjGYg6YxF+xjLx5T9yv6+8Q4S5bKgqY1MLaXVePK2aVPKp8g9ziKkISjXgqQG66SoApB0HJ86cjBndHUq8PntiNxphEwKbEGRTLsa3JaulA8Uyz50Ux5a2ibrg6marshImear0/6KMEy6fUviUqvSDNatXg7IIc+YdFw8N6KbGjYayDf8X0uyVacL/Lb196B0cxsxJPUilXEztGY8NW7Y1vd9GPL40NndeOP/o3S6/v3GofQYfjli+fDne+973qsdr1qzBv//7v+O2225DPp9PkNtSqdRkj7UvsGbNGjW0t3TpUlxyySW47bbbAPBilV7Y2RMcMQTs1UB6sYzh4IAFAQJaVI/NdBbVjavidpib5q00WSViFFauRVWHDJPAENOAQNJ6IhF/JA1UGz749dYkcdMIhvsAdPOIIUox7twLm+wslBheOOE3vafGqpyofulESznWa+J9CVkxkyTLdOKpRnlfbSf0ATgqjilxHGJ/drYFtDICv38rLNHClVU/gxAYtq2qbgAnv6blQA4IBuqc8WOs1H3e+jFNmKIyQhnXJUlhtk8ZurM2iBEbkFLGyUy5zrC9xDCxYKrq0oSshXLAMFxjKPtCD0YB2+IVtMYcR4BbXXzjruXYUa7i4tNn4dK3zcPm4TI2DpZVa0/XhQGxVmtX5EuHPjHJnd/5E8d18nP94oCHgZokndwxP2MbqNNIEcr7NnJ94kndGRXOvaPqq0pY2eeVJmmwKuOKZOUpoAzHT+/BiTOmwBQ2Pyu27IDn1TChvQXluo9N/UPYPlyCBe4zlk856CjkcIo2HVnx6tjaP6TamABUC1ESsXI9RLsITpewiYlinUcwVXyGQsoV75eI9mSUcFshmkFqo4B/xrSpWLJilbK+6GnJoRGSCHKH/ghbtm3H5Ek9yGbS6OnuwtbePrXsvDkzm9Yfw6vDoVgBGw2FQgH1eh3VajXx/Oc//3l84QtfwKZNm/D73/8e3/zmNxHsJFt4b3Drrbdi0aJF+M1vfoOvfe1ruP3221EscmuVXC6HT3/603u1vdcsAdNbnBs2bDiIR/Law7hZR2Hb8sWxcagKrLZRXPIIOt/yPrVsolUnKjkS1CsntFBWtiXRtgQavLrUdmqJnEQgqdWyW7vU+t6m1cjOmq9IkJ752AjVjmyIM9IhhfKJzEppOUFIsiqmkb6wNASSzsaveZWmkTv5mlVoUyHcpu2AZAuJoQSAVx9N24bpphPnNAp8mPJcCD8xAABlqvXjh5Q74Ht12CJKJm0TVHwRTWNwA1bKItQpQ9mnCAUZ8lkElxjwLQMkjDDoMRGIzXeTExmKIzWasJoAeEWqJkK1mSBWedfC24+bgluWbMX4fBZvmzcBHzx1Jq6443m+vPaZ20jEKvW4ymVbQNmPdtl65Kchgi90bI9v4YMdkpDlHRN1GqG3SjE5b8MhvMIVMk4uM7apNGArBvi6HcRENWCYlOfluQGRm1TyKfIO4aTMtfGW+XMxroW3sdbvGMSLG7ag6NXgU4Zlm7bBpwztaQdmxOBasYnxpv5hnCKsDgdKFTz64stwrLiyNlKLrUN0LZf0AfNDBscy1WOJYq0udFwMKYuIliVTZrsjXl1VuPyQoi2TEus1R4bp7vfyZ1JnaMAE0NfXj+5xXWgt5OFYFjZs3b5HETE7wwsr+cTacXNn7WbJ1xaiCEqH+WrR2dmJp59+Wj3+yU9+guuuu26fbLulpQVXXnklrrvuukSk4LXXXovFixdjYGAAp556Kq6++mpMnz4dH/nIR171PnWp1b333ovTTz8d733ve5HJZHDnnXfi7rvv3qvtvWYJmO7fIY1Zx3DgERSHEFGKTM80hF4Z6WlHgXkVdJx8FkrrXgIgSIHwqZIIy3FclaG12cIKd3KXYnwVs2OaqsoDiMqQ+LBPtCaFP1dYLnKxe76Ne5CVYluUgYduR8cb3s6330C0VBA3ayB+mgeY1HzJipUcFlAB3lr1jPlek8un378NVrbQdC71zEqSznJxv2ly8sWIInoSEeNu5IZtIwoCPk1pOzwknUUwCFEtMSaE2IxFcCwCzw8TAuxira7E9xS8usIzH/kHuWVC2U9IUAakU3Fotk8j+CzCcI2h4sfaL71lCHBy5IMTqB9deDJmdOUxtzuP7z+wCm+bNwEnTe2ACQvDVb4BWczRK1tKRkTifdgWPwZiGPAYkNM4tnRl16s5jmXACyJ4QYRJef5RKjVuJZ8qc1kaRWh1+evbyrwf2upaICb3+SImJ15E+JcZzMCEthwmtrVg+rh2jG/JgxATdT/EX5a+hP7hUhy6bRHVniz7obqfc21VYXpk+SpUawFGqp5qg7a4tqpWymNUkU1RpH6XaYsoEibzJVsaSofFepJU8YikuF2pY3ftwLRjoVIPmrIpi7U6zLoPFkUYP64LmUwaU3bRjtT389Syl9T9U489apf7H8O+RX9//259wK688kp86Utf2uUyixYtwoMPPqgeZzIZ3HrrrdiyZQsuvfTSxLJ6nvQLL7yAYrGI3/3ud/iP//iPvba32h2WLFmCJUuWvOL1X7METI+EqNfrO19wDK8YW5Y8BYBXtqQFhYT04wowpJ7zh5KWB8FQP3Iz5yEo8mUiRpNO8EGQmJCs921RBEOGcOsidgAJ81OSziEsD/OnZVVMD8YW5KrWuwmZaUejtnV903tU04+NBlCitQevMqoGDOBtSelOLyGNZPVKGMCnEqlXSQRrs3oNpuWoaU25Phfv15L7FccTBT4iUVUj2RYwr4wQUAauli2F+QaiMBZoE9FqAnjFgjKGQsrhtgIhVRfvsh8ibROUghCUxVqmajAK+bKBkVqEnGOgNWXCF7YOgx5Dyo7d7GkU35ckKgiBM2Z1YUYXrwrN7i5g3YCH5VuHMa+nFZ97y9G48o4XRhXcy+pWSgvhJkZMwmTbr+zHRUbZnhz0GCwaIS3IF8D1awM1qqw1gLgaxrdtKK2XDAfoyTnKG6wjbWOrx+9PaS/gPScfhbZsBjo29A/h4eUvIwh5q1IXzkuSTFkEH0xNRvL3amLtDv7/k7YIJhYyPLfR4JmN0sOtEWmLk+8R0UbsslzQKFLki0YRKKVwCIFDCGxiIqQMrmUp8qXOt0USk45A0rdLVqIaIStjacdShKxer2Pz1u2Y1DMe2Uwa57/nb0ddtxGURci5Nv761BLM6GxV2x9DMyIcWB+wa665Br/85S93uczGjRvV/Ww2izvuuAMA8Dd/8ze7vX4/+eSTAIBZs2bhqaeeepVHu2/xmiRgU6ZMUaLIgYHm2JMx7HtsW74YpuWge+68xPNTFp6NDY/cjaogNySTRcsxJyX0UHahDaHu42U5oDRJrKTWyRD2CaOJ42m1olqPVqEN6CuBpLMIi0N8PVEJAgArV0BYLiodmo7Os9+tXPFHg6qyCfJn2k5C+2XlCvwxY6MfK2UqnsIwCagkWuCky8oWODMIARBTVbZU+1VMahqmycO6xcSkQWITWsOKJyFVgLmc9JSEzjBgiiMJIihLARoxeH6YmID0giQJo0yIzaMIJZ/CCyN0pAiqYTzhKDFSizAuwwlFXVSgZPux0TZCWpbZFjC1PSYpvUVu5XH1nStw/T+cirOPGo/tIx6+98DLinCZJhL3fQpkk1In/l5DIADPkZRE0acRzpyUxX0bKpowPq7etaaSJNsLI6zs4xf4N81Io+xT5MTOfRphU4lfNCbn+QFMKbg4fc40HDNpPAzDQN0PsKF/GJsHhrB+YARMc4ZPGMeCe4Dp7cOcYykfNumU7xBTtRK9IJ5slMvJZQYFEZSO+znHwkgtQJ+YZJDVMHlfwlaVNAZiGjv1AhsNsgW4fNWa3S5bqQcAAgyXymhvKeC2227DhRdeiMcee2yP9pVtSFYYw+gYhZPvNwwMDOzxdTiXy+Evf/kLDMPAOeecg0qlstt1FixYAOCVa73XrFmDd7/73Vi6dCnWrl27y7Z3FEWYNWvPW9qvSQImY4gA4L777juIR/LagdvaiaAcC+3HzYpbAVKf5Hb1oLYl/hDuPPWNGHz+cWQ0ny8W+Kp61n7CGRhZ/UKsYdLaHXpLj4j4onofd6PWRfcSShNmmqBeBZZtx+RIq7zF5qoOIt9L2FAAiGOHtIzHRsjqlGxFGpYNVq+p4zW06UpJCKlXgVVoTeRF0nJJvRe9nalX1KxsgVe2xGQpRGSSDv4eWeLc8nMYJlzwoSVGBCorkBt2SkIQ2xJIl3WmKkGSfMmpx5Fa3PICgFLAsKVIUdK4daP4PmUDA2VOnHTSURULresv40t/fh5Xv+cEXHjadPSWqrhzedKF3KcAKN9Wow6MGAb0KFI5CDA+Z2LVUA2TCgRhietkGkmXo7UniQksmGCjR/Qx3bSJkjhGqe9yiIFqSEFMgnedfAwmtrcgiiI8s3Yznl+3GRVBYqZ2tuPMudPg2hbufmEVNg0MAwDywh3eY5zotrg2vJAmTHAlaBQp8iR/V5TxdXRC1552VPVMLpNzLHght8fwwrhipjIpo0jEGCUrX2nbUo74AJo8wRqhi+k3bdqMSt0HBZAWlyndVX/HwCCCmoepU6fiwQcfxNy5c7F27dqmbb6w8uVRdWXAmPbrcEMul8Ndd92FQqGAd73rXchms8hm+eff4OAggiDA6aefjtNPPx33338/RkZGcMopp+A73/kO/vznP79iqdGDDz6IYrGo7r8a3WEjjhgCpifQ7wqve93r8M53vlM9vuGGG/bXIR0y2NNzs69h57hOyRxFsL4z5OaeiOrWDSCZLDLdkwAA9cHepBg/TBIFJmJ3mFdJBlBrYKEPq9DGxeuMgdU9zJ3UDeZ5IC6/4kZBAIgQ67BcVG1K6pX5Y9tBMMhHm618m3pNQhGxhv03tQOBJFkMA/U+FESAYVMLFZyMSeJFvQpMK0gI8htJGH9vvhoOYF4ZRPxuDNvhkUXCbVy2eY+aOgXEcRGJ4ySmiSCgauKNmCZoQFELuRUB1/2YCYd2gFe0vJC3Fr0wUi0/LxAGpOLiv3Y4rpjk00BfERjfYqAWROpU1QJ+WrhWCxjx4nXKPresgAU8/PIAvnffCnzmTcfgI6+fg/tXbkPAIrUNiVrAiZwyWQ2AlC0tEJpzFEs+gx9GIPlu5F0TIYtUjBLRKnXzejpw/JTx2DJUwjPrt6IWhIqISQyLqcnjxhdw3onHIJ9OwQ9D/OGp5dg6VETeIZg9rh0nz5qCrkI8JDFjXAd2DPOLgc94dQvglTA9oghAUuPFIqRdrVUtfl9A0ossbRNV4SrXQ6V5k2SO0gg51+IxRpap9F6UMbT08P9XKbRPCyLbknYx4tWRti08soRnDJ65IFkJb4RsDxLTTAx7SIQhxbRp03D77bfj7LPPxkUXXYQrr7xy1G2xKELKtuCHFD9bug0fOXHSLve9P3CwPoNfCaLo0JyCPOmkk7Bw4UIAwOrVqxOvSY1YvV7H+eefj6985StwXRcbNmzAddddh2984xuveL+XXHKJur8nvqh7gyOGgO2pwd3//u//qvubNm3CXXfdtb8O6ZDBoWD+F3qVpsnDRtjZlkT0zfBLS0Ay2oSeCI2WPmIjq19IEDNprwBATRQCAK2W4+1oYvgUGODayZBsDcq1Xu6DUVXRSvh0aRc9wxJtvAYSJnMhZVXNMInavowqigSfkFUvniPJYIgBAlouAoRwgX3og+S4/smwbV4ZowyGbcdtRaF3M20noStjgc+JVzrLyZisnFnC5sJykLFtWOm0ap3KxAK98qXMNcPmc6e3MBzTQMg44ZL+X2LYT5CmCLLjLElWxoXy/rIt/pxpiqBtMVFZ08bKaw3eETc+swXnnzwN41syOHFKJ55cz20LUppXrWxvyjZkEPJb1o1bi8QEfvNPb8ElP70bku91ZdMIAbimAV8QO4MBx0zowGkzJ+KoCdxX7piJXZjW2YrfPPECeiv8WL/y7kW47t6n4LoOugs5vPHoabAtgqJXwx3PvohqrY654zvw1vlz4NrNH88vbeE+Q3oVC4AyvvURV6eAWB/WkrITvl9AXEF0tGgiKcAnhqH0XrylHKkgbrmebhBLTBO5bA4pi6AWUtjExFC1Bk+8B53kORZRwvjdieIlcQKgbC1yrq2qVz/+8Y9x9tln461vfetOCZgOnXwNbd+KIcHIZ0yburNV9gkOhc/gPUWEZs+2QwEPPvjgqAHzOhYvXqxI2uGAI4aA7QkMw8Bxxx2nHl988cWHpavy4QJpNyGDoXcG3QYBANyObliZLPyhfgRD/YgYRX72fNRF9akxB1InO7Tu8YpYJoewOKQqT7RajkmTacaTjwmhukakpC5KiNMleTGdtMphlNWvued/DCt+fg1fT4riBdExBdHhE4cx0TPdFFjgx9o1EhMzvu2KVpVi2oRkTQwf2AClANE0ZMQU1TEAdqwZk6SRVoqJlqjcH617cZg5pepTgTVYV5imCWKYoKDciFOLryGGodpTcqJOXvx9Uf0iJpSFA40iVY2i4qe0o5DPS6sJYsbPSaG8aQJr++LqYz5lgUaA7B4SA9gwUMX4lgwAE1WRFSmlSVmXb9+2+LZTNr8fhEClHql2pCRfAA/mphEwUuNGsl4QIW0byDgW/u3NJ6Gr0Nza7i3yC2/eIZjW1YZNmzZh0qRkBWbjwDBufXYF/JCiq6WAd5x0TNN26kGIR1auQ6lag2OaTRWKxgum3iYEkJhqlARKbkNZTYQMaZugPe0kJiKB2IZDkrfGfEo9P1K+nnXsxHYGq7WEsawXUDyyZLlqTepkbPaMaVi9dj2Gqrylr2u39NahTDA5+ui9N1sd2lUUwhjGIPDBD35wr5b/xS9+scfLHjEEbM4cPlWzq8DTKIqwcuVKzJ07F4wx3H///Qfq8A4q9uTcHAh0zZi9y9elLxbAK1lR6KNw1AmKJABJJ3zDJCjMPAYjq18AwK0ppBHpzkKpdcsJqaWZmEuBZLIJ4b/pphAWh+B0pXlL0ST8RjkJm/XODyS2e/Q/fBYvXv+NuNUnwOo1kHQ2EZY9mgZN7luZs5pmbBwLMfE5yjSlaTkAZeqnXJZZvoon0gcApM5L14ExrY1qEAIj14KNvX2w862Y0Sr2Lz3AKG9DekGImhDZy4u3Txm3n/A5EZPtRwlftCBl9Stlx8SKMm7xql8TTTPOaWzNADtKnCBJwrRlJJ5+Om06rzrxChZ/LidayyWxUUm4ZCi3nLQ0Ta4FI6bm+yWIwvt+Ele+0hZ/3anwUfZ0RycA4MJTj0ZXIYtqPcCjazZjZlcbZnS1Ynuxil8/vQZHj8vi7KOnY96kcQCASqWCVatWYd26dbCmHo2nNuzAv569ALl0Cs+sj520B0tVbB8uYttwESu39XOLCym+16pPOvSKmO6sr1qIDevI7UhhvpxildUyqRlTv2PxfFvGFUkI/G89oAwDvVzkPL5nYmI/aa2KJY9ROuTXQk7mh7zaTtuTWcdG2rGQdiz0FpOGm+vWrUO5XEZHRwdOO+00NfEmcdzcWdiwYRN6S7sXa+9PHCqfwXuKQ7EFebDw05/+NPFYasD0apyuC3tNEjAZqL2zP3BCCP7nf/4Hf/7znzFnzhz88z//84E8vIOK3Z2b/YlG+4nRkOpKhqF7vZuQmTAtYbIaFIdgF9rAgoBH59C4WkTSOVQL42CVl8Jp61S2FVahjVeZhEDdlG75jCFiDAPlKgxiY2KOV4X0apFEqFlg6Fj9p59h9rsvTjx3zIcvxfLrvh4HcbtpUK+iKoAknVXZktSrwLBsNSGZ0GwRUxEeKeqXx2VlC0qIHwktm+mmEVaKsLIFTtqESz/zY2d7w7LjaqBXEfYdvFVpWA6v2NVrIJksWN1D/0gRRrmKKeM4sXHdFFjANUGyDWkTU3lNSfLlCzf8aqDpdYR5qSRftSD54S5JEJAU3TsEADfbx7C47tpWkrg9uW4Ap03vgGMRdOVclOp1+JRvM5/mH2/Sv0rfpiR2pglglGlIeYz6JKSMI8oEZWQcgosXnYApHQU4FkFIKa699xm0Z9N4yzHTAQAjFQ/fft8blIUCYxGeXrMBZxw9SxlHfu+vj+Gq95wV/+qNCD+970mEjCnRPjGBVkEmKYuUbq6xCsWXNfjvgkZNqQR8+9zLTLUwhSO+Q8xERUw+n7ZJIqoo59rwKY1tJUQsEQCUh4WlTA+PapEmrf0V/oWp4DpqWWmBkXVsvn22c3nCULWGtMP/jht9xMIwxA033IBPf/rTuOmmm3DsscdieHi4Yf1YR6lX2dauP3AG3AfzM3hvwY1YD/ZRHDqYPn26uj9p0iT8+te/xu23344bb7wRvb296O7uxvvf/36ce+65eP/7379X2z5iCNju4HkebNHS2V0feQwHFl0zZqNvLRdVNgrb6wO9KhYH4J5irM6rWBGjiSnIRj+txtYmIDVa4uJh8IuBVWhDMNzPK21CyA/GlMeYYTlqGlLHqt9fh4hRzD3/Y+q5eR/5Al68PhZ8ylajLpyXFSlaKXIvMOmubxJ+bA0JAXIq0hATmoAWq0QIwgoXZbPQb6qSJWKZTBEd5Ka4To1SGIQPHfDKo4+I8uONKNeCNVYS9VZXLQjRkuLbHqn5GKkHGPAC1IWhKsBF+OU6gxfK9qJsScXtxkavLqkKqAjeJCV2xOBEyRcTjMNV4KFVfar6dckZU/E/d8UXuIyo+gxVk5YIPk1aUgCcsP39vBxuXcX/9qT8ik8Xxp8XMnLn+EnjMKubV2r9kOLGp1ZgR8nDadPicN65QgvmhxQv9w7i7uVrkTUZ/vfOh3H6lHGYLqJ1dCzfsgOT8/GXgJcGSnCJCU/z/xqNePHzFFfHZAVMQr8v35e0qyCmkSBiUhOWdWys6i+iPe2Mus+C66gqY3+lhiiKYIlWJMAJuhTp28RUpC3r2PAp9yHjui6itiN1Xjp6Wpv/j3X8x3/8B84991zMnj0bjz/+OM4444w9Mtzc37qvMRwZ0D3Ivvvd7+LGG2/EZZddpp5btWoVHn74YVx99dW49NJL8Z73vGePt/2aIGC/+MUvFPn67ne/e5CPZgyjoWvGbGxdGk8KVbetBxBPULLQR1SmsMT0npVrUUTNtG2kBzYjBFDv24rSi88gf8zJKudQwh/ohVVoE7YMfDt6ZYtksgg1qwy+bVGhkhowV8QRae3KF/+/b8Fu7VQVMUWI6h7s1k7FKMJKUQnuJRqNZfl6oupl2WDisWESBF4Fdr41UR0jtg1TbpMmtWAJvZd4rfEyyuo1UDNu3YIxNSwRRVzEb6WzinjJVpIXhMqM0w8ZRmoB6qLtWPL58XlhJPzARidfErUgJl3yeckXaMTfFg/l5q1C2wJKHidkL26PExH+/qQpuHP5Vry8o8ytLgTDCoSHlqlpyXQzdwPAnO4C0oVOfPf849CZdWFbJiyTZzBW6gGGKj4GqnWUajX0raqjM5+GH1J8+66nsU20xfK2iU1D8d/PQLmKm55ZgS1DJRDDgGUCFQBnHzMTx85K6sAeffRRvOBZsMCwcaSqqlwZi6AaUlUB8ylTBEtCma7CVOtRFgEEiWX1qhf/HVJFugCAkHiowrFM9FdqaE87aEk52FKsIudY2CLe6/hcCjnXRrkeRxkZhgFi8AxISeKkRpAypiqBjkVUG9KxiNoGMQy0ZVJYvmoN5s2ZidkzpmHJit1XjGq1Gs4++2w8+eSTOOqoo/Diiy/igx/8oIqFkaavg1s2Ka+xsfzInSPCWAtyZ3jTm96E73//+6O+dvfdd+Nf/uVf9mp7RzwB+9SnPoUPfIDrdSqVCj772c8e3AMaw07hD8b6F0kIGoXgsr0I8IpOunsyggq/CDvt49U2dI1TaflTaDmRt3lGm8RkXkURMhUBFPi8YiUICX+cS4rmQ6AxiHvd3TcDALzNa+DXPb68aaK8YjGys4/l7vulIXWM0hQ1Cv2El4Fhxm1INRBgOWDCskJOUUptmCmnQwXRkpqwCDHpkm1b5ffFKIyG4Qha92AGWeEBloFpOeKcCdd3x0Lg8WqM1AON1APReuSEK2OZogIW8XghGk8z1oJky1HtlyXjhmr1uAol11WvhzGBenFrCX7IL+TENPDN956Ai65/DAGjyIoK2JzxBSzZJKZrRYsz7dj47OsnYtq4doxrbVHVskYQ00TKttCRS0NKvx/o5WaMP37oBawdqCiX/GrIsGr7IG5ZvAohZVi+ZQdCxhTx6czn8PbjZ2NiexwjVazWMKVnPL7y69sA8DgiVxCiakgVIR3wAmTsODaoxbab3PClzmukHiQihhwjORGptyD16CLKWGzgGsbu+oPVOtIWwaDnwyEmprXlEFCG/koskB+qcj1eqe4jI4X3WnsSgPAKM9VEpS880KQIX5L7gFI8tewlpBumQHdVsdq8eTNOPvlk3HvvvTj66KNx1113YevWrfjWt76F733vewiCYNRc2DGMjgNpxHo4oV6vq7+zRpxyyinw/eas013hiCZgb3rTm3Dttdeqx21tbbtYegyHMvSKEwCho+LVo7BcBPXKcNw0rGwLOs78GwTFQe5pVZVVMke52jsd3aP6a0k4XT0qdki64ytLCkBNORqWAwQBnK4eRIGPl2/7TYJE1rZtRHbWseqxYdmKfO3Re2Y0IcRnoQ8ijicCPyZWr/GJSJIU/nOy5sNETPLiSUtTTUAGw32wW7tEEoCj2pFRxIAo4scgTWVNXrmQk46yypGm3KCzGjBVuSrVuGfWUDX2/gpCKH2WBG34oi2nHOX9RuhEjBiATSL86smN+NAZXKfRlU/hug+ehqkd8aDDFe+Yj+VbR7B5uAoDDAsmd2BSWyYhRSjVAr49i2CwUsOL24awcbCIZZsHkHYIWtIu2jIucikHg9sG0VuqYLAQKfJlSUsOFuGptcLw1wRs08QxE7vwnpObp/Rue+5FrN4+iK/8+jatcgVUGT+/eYeoKpbu5wXEFhLtaf6FIm0RbhchdVzCAb89E4vbRmp+k8BewheVTB3EMABTxEtZBC2uje48J+zrhsqY01lQ67ZlXPSLFmTaJppNBidhKS2OSGrDiJkkYwDXe+VcW73fwWoNg9UaJrflm/8YGrBt2zYsWLAAl112GT7zmc+gp6cH3/rWt/CBD3wA55xzzm7X3xUGd+zAsNCSHemtyyg6sFFEhxN+97vf4b/+679AKcXvf/97pQF73/veh6985Su4/vrr92p7RywBW7BgAe655x71uKOjA0HQrC8Yw6GDaYvenni88XGeUiDF+GFlBBGlCbNVrzd2Nw6Kg8ruwiAEbkc3wvIIOt7wTqHvEm72oqKk2orprHLjlxUyksnGFSoR4m3YNohtq6DuiHoJ7zEASE+ZA2/jKpAMJwDETYPWPUz58P/DwEO3wLBsRGGAyuplSE/hbRC5b6ZFDlGvyj29tHgkpRFDs1s+g2hZhgEMxsCERQWrezCJCYgoIlb3QDRdl9SgUQ8wxXGQdBaRXwdzfYReWZ0vJ5eHQwjStoUhYSlQ9kOM1ANUg1jkXQ64TUNfhcUmp0Lv5dN40rDiN9uvmSYQjBLtZmuh2Xr7kEbAzx5fg/mTCjhpKtdc6eQLAFyb4MSp7ThxanvzhgXy2ka7Cxl0FzIAJuKh1Vvxvw+9CIfEU3TtUuRd4Pt3NdNW6YbfkXXxpnnTMX/y+KZ97Rgp4/dPvgDKaMLAVYZ26xc/SWSkBkztR4jrvZCiJWXDC6iyiJCO9dwKhKoJVSAW2Occa1QfMDkV6VimmoyUwd0SAWWY3pbDir4RHN3VooiVYRgggDJmldUvmyRtM1Rskfrlm+I4RGtS2mSw+PN6T0mP7/u44oor8NWvfhVvf/vbcf311+OEE07Axo0bYTCGNsNGve7Dtu29uh4MlKuJtu8YXpv43Oc+h3w+j69//eu4+uqr1fNRFOHXv/41Pve5z+3V9o4YAtZodPfhD39Y3T/mmGP2eQr64YTDyQRQx5SFZyd0YXahTQV2R4zCaR+vSJXd2oWwPKJeGw2prh7URByR0z4e6e38b0ISICnQD8sjCItDsNuTOZDKYV7aUjSA2zl0q2nKlgVnIBKtSx2S0Hgb12Dax76CHXf9TrxSaWq5qm2HfkwchZ4xLA7H/l1BAFi2WiZiTLUeWbXCW5TiMfXKYIEPK1eAIc6XbNlGgQ9mEqSICSeVUueTuCkt9DnZWpLTemVBwoZrDCO1CEHIyZYkXpTJnEVxXBr52lm1CxCGqVrVS+q4bGELEbII//b7xfj4WbNx/inxhfqGR9fggZW9SNkE5x/fhoxrY2lvgFu/8W/47x//AvMmJsnzn5ZswE3PbcCktgyufvfJAIBpHXmkGz4lqeXAtQxQxPuXFbApna3457MWNL8ZAE+t2YJn129Bn8haytim1grkBrXD9RB5h6AuznVGZDRKQpUWJIWyCI4TO9YDIkZIM0ltz7hqShXgrUdJ0oBm4pW2ZVUqyYpzrq22c9YJx+LmR+P/yVoQwg8Zcq6NyLKRcWykLD5qKg1ZA9X6TDrvy6qf31DdlqayxDRBgKbX9wSUUtxyyy2YP38+brzxRrzhDW8AAExI8y9o27dvx1lnnYVly5bt9bZfCQ63z+DGyvQYOGq1Gv7hH/4BV155JU477TRMmDAB27Ztw5NPPtnkzr8nOGIImIx6IIRg/vz5uPbaa7F161b84he/wObNmw/y0R1cHE4xGI3omX8Sti1f3PS8mnzUTFlN2+EieUZhF9pQH+DGrW5rZ8JhX+rLjp46kU9ThrG+S6+G6cuzuseXFd+a4+oTd5WX65RfWiy8xgRZ8Sog2QKGn+aaAekFlplxNKprV6Dv3pua9kfLJV6ZM1N88lHbp14FA5CYEJX6ML1KZphETUbKCUulcxNif+mIz+qEV/4Iwez2LNzudoTlIkzLgZ0rwARgCpsDeVH0KUPGNtFbCRAyGcbNTVdFPjaAWPsFAIFoQ46mM6GRMGSNOGlzSFILBk07ltIKEpV6hG/etQo/euhltKRtFGt1VSljDFi3g+/sY295HQCg9Jtn0JVzccGpPXjXghmwTBN+SDHs+ZjSnhXHyXDdIyugJR6hJWWgnB+PMgBHXKU6MzZOnNqNc4+bqYTmEkWvhlueW4V1fUMgJlQuZqubzGmklJu1SuTt2LdLthMl5ISjNFfNObxqJoO029MO2kTrUXp4Sb8uqfNSxM+K8xwBTlyIYSTMWsv1QC1/x5P8f9EPGdpTDkZqgWpzTp4+E1nHRn+lpqwrfMqtJhoHAOSxyce1ID4m0vDl5qwTjsUrxbZt23DWWWdh9uzZeMc73oEFCxbgTW96E3p6enD33Xdj4sSJuzTjHt7Ri/pQPxBUUHF3PY25KxxOn8ERoP6XxzA6Vq9e/YoIVyOOGAIGAN3d3di+nWtwPvnJT+LrX//6QT6iMewLSC+xLUuegpVr4Wan4PE4UssVaWajdq6AsMpbRnahXYn0vd5NinxYmSzCyggMQmDazR+semtR7oPVa7xFqSpRPHZI2lM0xQ+5KcA0FcEi6ayaTmSBj8L800C9SoJQ0TL/pmyYRBGk2Jw1vjBFjKpIokiLSBoVhNtrRIzCyhbU8UurDmltQdJZ0GpFCPzTqrpI07nEe3OIqaouZT/EgBdwAb72mV2sRci6fGqx5MWkC0gSLxoBjBkwTb4yY4aq1Mnn5HrSRNU040qYrIJJx/woYthRqqND/EqHRefwf58sI+sCb/jmXZCyKEJ8/P7Z9dg+UsUn3zgf5588A397/FSkRJXozuUbsWL7iMqFTFvcTLZFhHCPy2dwxuzJeP3siU2n/L4X1+PpdZtR1wLDQ8bbldJzS26XiFplfRfKZy+kcEwzUcHSw7Ydob3yQwYvoPCCODTbpwztGZJILaBRpLal9GeN7vcNpEkuL9uYUsyvV7kqfqC8wqT9hL4Nh8RaMImURZCyLRXqrVdXG32/XilWr16Nb3/72wAA13Wxbds2jB8/HnPnzsWKFSt2ul59KP7idqRrv8awd+jq6kIq1fy5uzeh30cUAdP9Nx544IGDdyBj2K+IRKC0lc6CZLIwaTomYhpRMN10gpgBUFowO1cQ1SGuA9Nd9HeJhvE96axvijxFkm2B37eV5ypSpvRq0s3fsGxFrABhrFouwmrtQHrSTAw+8hel+9oZ8dLvq+qXZtiqV8UiRhHVqVb18gBh3srtKsowxKRjUByClSvwqlcQqLZk6I4grIrJPTvNrRA0PUzOIRiuB3CJgeEaA2WceAGcMNEIkJ0wfj+ppXEsTrz8kN8HAD8EUtrAKmUAGtqUkkipqhmL7Svk/m2LV9HGt/LHsn25fRjoK0aY2AbcvaIXeWcZ3rFgJtqz/G8giiK8Y/40vGP+NHzjr4uxcvsA0jbBzK4WzOhswfzJnZjeGRsFS6zrG8LvnlqBqpiGkvYTACdgIQPSloxtQkNlS7PhsGJC5Ii/OUm4PBGIDkAJ3imLUK6HCUPVllQcBeRTirZ0CsVaPVGFkpYTjZUp2Z6UOjDphM/PN2+BtqRsbCl6GPR8Icjn76UWcvIlhfeySpayYhIoiZmML5KP9cihfUW+GlGv1/HSSy9h4cKFmDlz5i4J2GsR3IbiYB/FoQnDMHDVVVfhox/9KFpbW0ddxrL2nFYdMQRs0aJFWLt2LT7+8Y/jvvvuw8qVKw/2IR0yWLRoEYDDn5ROXHAqNj35oHocepVYIN7WyXMgRxHWynaglW3hBCb0Qesenl21BoZJcJLwBEp19aA+2IsohCJUOlQQt0maql1yWRnrIycP1cSk7QB1j1ecRCYjC3y8/JNfYM4nPqzsLbKzj8Xws4/AEkHbPBJpODmNibgd2QgqzgmfgISWJymrdFprNJfnRC8IVJUuLBdhEIJVFQYMVnBcVx52WycsMVRQLHoYqtaUXQFvM8XeXz6NUKxFSNm88iWF9ikHKHkGNEkSKONETNd/BSFAzEjx3IQrfgNkt48k+RwcEudISpS8mDsTkxMy+XrOMXDHi9txx4vb0dOSwdzuPC48dQ4Kac7wLn1bMs3hgQcewIaRTZgu/q8AYE3fMG5dshr9xVisn7H5gYUMsEwoIiZ9uyT50j1S8w5RWZrVgAliRMVxWqJyZsIHSwjW5WteSOEQU5E12U5M2wRDHifp3bm0ymx0CFHtZNmm9EUbkpim1hY0lbheYkvRw5TWLGxigpgmXn5xGXxKMWk2d5unEbfwSNlWgmhJslUTXnKSdAWUKeuJ/R0Gnc/z/6+RkZHdLLlvcFh9BkeHZhj3oYDPfvaz+MQnPoH//u//xlVXXYWvfvWrYIzhoosuAmMsIczfExwxBAzg32x+9KMfHezDGMN+hNPK8/cMQhAI01RpOcFd8j1QO77y2oU2UGFkyuoet1rQRPEG4cuyeg2haMW5XT3Kb0zqv+TUI6vXYvIlK1SiCia1YFaOxwXJ4yHZloTOi4iAb2XQWi7CLrRh+Ok4m9TK8guEP9iXeP868YoF97SpMqZ+BpyE6TFL0roibneanBzmCgiH+0FyBSDTpvZhZVsQmfFHhRdQDAvH8rJPMVxnqp22dYSp2KBqnVe+AioNPjnpqosKmGlGo1pOECeuiknUGLeckGTFdeJ1iA08+h9vBQCc8d938efMpMu+vYtPOp/G1aetI1VU6h6e27gDr5s5Af/4uuZgbB3r+oZx/4vrsHmoqIYQ0pZsKUZK6yUJFcCJmKxUSesJgIvy5XNArAkbFu3eDUUPra6lkaI471FWxWSbUGY6AlAVLlnB6g9rqsLlEKKIF8DbgZIQUcZQC+NqVXy+OEGbWEhjpOajp5BFxQ8wXKujO5fBpNY8+iue8v0C4rDuQOgHHUKUyF7aUqRTDjzxS9WPaV8jl8th7ty5ALBbHU/33Hm7fH0Mry186EMfwhVXXIFrrrkGV111Ff70pz9h8eLFuOqqq3DXXXdhypQpe7W9I4qAjeG1hSjwAc1YVTdFlRmJjfd1KMuHuofczHkIvQpqm9fAPoZPwEnjRhXlQwjPk9Q8xGR0ktFg8Grl27i4P5NNHJfppsG8Mjd3rdcw658uAgt8hJWiynN0u2LrgoXfuxmPf+pdsfg/CAApLg/9Uatx8rnGKpmsjkkhP2M1oUurImIUQWmY74MxGPkp6ni5vUcKdq6A/oonRPj8G3LIuPXChmERrhwAI6II5NO43RiEMfGSCEMDYUNb0bKEKJv71yLlaK2xBvPWZ7/0VnV/zhfvQlfsbwrK4nxHn8b+Y8LGCsQEWlxDCexlRqRP+RCBQ4AHVm3FY2u2YWJrFl2FHOohQxRFCDZtB2URbtnxILwgxLiMtH/gZEpvhQ7XQ2VTIY1U+TEx5LSynqu9Ob31OFzn4vSOtK0mIeUyaZOovEdZkSz7IVpcW4n329MOyn6o9GBd2VSTRYROlIhpJny5KOOv6dqttnQqQaIqfoCsY6M7l0GxVkfFD5C2LaRtKEIVaP8DxDCQsoiqwkmbCk9j4fur/QgAv/rVr2DbNpYsWaI0w2OIMdaC3DlmzJiBZ555BowxhGGItJiqDcMQ11xzDb73ve/h8ssv3+PtHfYEbDQR3BiOXHTPnafc5gFumgpwkiUrW7Qat4FkVUuHYRK1DHFcOG28qqbHAtFqGSQTV8r0+CFJcBQxGyUrMhju5zYPQkxvWI6WuTg63O6JCIvDKlqI5ApY8s3YV6a6fhWsbGGnVhXyuHSNWWQS0GIcSxSWSzDExbaRvMkWZ1gpqhByjw0jLBeR6ZmG+9fxqVLpVwUAxKAY8ELMbrfw0kCgNFYAJ1/lKt9XGAJRmCRghiBbja74Nd9QxEsSOMcCQPhzK658K0666i6cdNVdimRJ8rVF+NwWtI8FyXNkNUw+1qcbuR6L3/SLj08jbBwsY+NgGY6obOVKVW47kaNwiIHhOoNLDDU5lneSdgshS5IvfgwmXGKOKryvUwaXmPClaN4EhuuBiiWSZG1Yy01sFealXkBR9kPkHCt2uXcsbC/X0CVOFjFN+JSq9iUAdGZT2qRkpJbTq2EpK55s5OcmtpnwKUU1CBLmtl4QJnIhA8qQdexEG1Nu80Bi4cKFAICbbrrpgO73cEGEMSf8nWFkZERxjq1bt2Lu3Ll47LHHAHDtV3v7zr0GR4O5+0UObWQymYN9CGM4wJj+lnep+9QrN7T3OGnS23Lc4X10/ZYkM7Ll6E6YhrrwCtMhyZaZTpp8Ml3kbxK4E6bFnlpiP1a+Tb2uP69W0yYYrUKrWIYhLA6j3rsFwfCAOvZa71YEQ4O8UtY5AU77OKXjYvVaokWqm7U2TltGlIFp67B6DSwIEBSHEZZLYH4NzK8hLA2B1T1Ut67HqVPH49SpvDrX4tpocW1MyLkYl7UwLmuplmBXAagFnHwFVQNB1YBdMpCuAOkKwAMugUiQK+oboL6R8AWjzEC1xm+OBay7+i2Y2gVM7QLOufYuBJTrurYP81Du1duBviInVykbOL7HwvE9FkwT6gbwCl2xBqRsQ8Uk+TRCS8qAYxmKfDnEUDdiGsKbCuqxaXD3e5cYyNsmHNNAq0sU+QI4UZW6L9l+lJDtRVcQMQmZ/1inDI5pcmNWUVUr+TyayBHarIxF4BITlPGKmmw7EtNQ1bKyH2J7OSbkkvw4hCDnWOjMptCZTanX+PuMJxplpUzq0iShqmnVqpTF25hERB4Vaz6KNT9BvuRPfdtZx05MPEqcdcKxuOPJxcryYl9D6nQkERvDGPYUixcvxjHHcFnCX//6V1x++eW44IIL8Hd/93f4+te/jueee26vtnfYV8CGhvY82mUMRw6mv+VdyikfAKxcgU/xZZOTaaZtK2G+6aZB3BRCr8KnJ21HTEAWVWuOpHMIhvtU9cu0HJhZ3oZT23RTQuOVbEcCvPIFAOlJM+EPbueVMkBVnUw3DRr6qh0oYVg2TCfd5AkG8MpUvXcLAMDp6EQwNIjiS8uRmz4TdmuHsqSgXgVhuYzsNJ5aKFuKOqT+SydjJJMBrVYRMQbT5VUS5vMxQlovAZ0UzKtg8UZeAWtJ2YmJOInuvIkdJf58yo7AGEBSEdq3xvvyXBtpz0BdJuTUDETiU6j93h8AAMrnfhxeTVSbMgx+CEz8/N1YvV3aI/BWop2Oq1UpO/7W3lUA1g6FqhrWmomnH7NqclLaIkh9WrIK49PYJkK2GAdqlD/PIlDw8G2JpTv47+2ojlh/6BADIeNki089xn5e1YApwb0OGkVwTFP5gAGxZ5jP4vUpjZQBbkfaTkQU5RxLtSQBYGIhk2g7UhF15BCi2o8BZagxpogRjSI1tSiPURKqgDIlrAeAmgyHF8tlHbvJaqIWhMpqAgBSthVP0mrfRyT5Gqk1D9PsK8iL5Pz58/fbPg5rjInwd4prrrkGM2bMAAB85StfwYknnohf/epXAIANGzbgk5/85F5t77AnYNFYZtVrEsM7etV9T6tYsbqHWu8muF09cApt8EVli2ptOVb3YgE7jatkkSBTul4srIzAcWNiVN+2HnZ7N4ib5hOGdU/FDanWJJHbZnwooFxUGjFW90RL0lY6sCgM1GOqETDu25VXGq2IUbBqACuXR1Dmvl71/m1oPfH1GHr6QRjEBElnUO/nupbsrGNx/L9+HY994h3qHDSSr4gx1PsH1H2jxolXmBnm53ZkIzrf9B7kph2NM8U633lmA06ZEAuuJglhFWVAr3B57ysChZyotviaIyuAzMhGAMC/felYXPGx/1HPF9/2CX6OBHfIZZiyoqj5MXkKQi7wpwzIaK1GGnH92WCZi/SBJPmSJE1uRwrga0GESh3IujK/kL8udW68pScIoWPAEhWwslbVmtFmoU4jlAKGjlQ8yUgMAyWfJlzvJeTzOuqUoU4ZWl1bawVymwnHNFXotkNM1Y5UIduGoapfxDRUhuNgtY72jJtwlHcIF9sPeTUlqk/ZFmpBqMiTJFl6BQuAEtPzc8VUJWuHYSitmNSNyX1Kg9qKH6AtLStuUeKYpOGq3hrdHzjuuOMAAJMmTcLf/u3f4s9//vN+3d/hhjEN2M6hxxv29vbi1FNPxcyZM5HJZLBixQqEjaLW3eCwJ2ASY7YTO8dr5dy47d2qlQhw41WSzsEptCH0yogoA63X4LR2gtZrmDaxB6EgXdmeqSite6nJNwyIW4amm4Y7YRrPTqzXQGxbZU+SdBasXuMTkEJfpqpe6RzXfokII5ItIAp97rwvArWjMOCeYCqvkgdmy0xIE7wFGZZLMN0UslOnJcxaTdtGKKYaq5t70XLc0fA2vQwAeN0PbgUAPPiBs9R7CssVZCZPQm3HDqTGjePna8tW7Hi+H+NOGIfuqCrecwrTFr09QXg/t3AW2idOxpIVqwAAK3YMA+CCc0liejcTzJrNP4w2tRQwro+nUZi0jmoLF/hf9n811M/g3xi7+yvoXF/F4Iw0gJioyEJOJsVJEjFi0pVNzj2ARrEWbGIb30alLp3W+dCpbcXTkdIMNesaShcmTVbfPpPnSj60kf89+UwOHUQI8lznkTKluF7GCZmJTEwdsuIlQcxYeC9JGsCrWVK75SMmeC2pOI+RD0EwZDQPMbmO1IHF5yQSrvn871o3b634QcJmQpEqzRoC4IQrodsSxEyPHMo6Jtq6x6MeUqUX8ylF2rZQFPtOWQQ9haw6vtEihv761BIAUK7++wO//e1vcckll2DBggW4+eabUalU8Ne//hUXXngh6vVRgkj3AV4rn8GvRaxZswYA4DgOPv3pT+Paa6/d43WPGAK2bdu2g30IhyyO9HNT79sKp328+mtOT5o5qtjdIGZiIrGrvQ2h56hqGJFESYNsaRqWE9tNWA6AWNwvw7qBOAZIEim3ezKC4X41/SghtWOG5QDCJqPev5UfCyEApQiLwwiKI8hMmYEIsTGrHiFkuikMP/cwgFhLlps5FVEQoPWURQB+DwB49GNvT6zrtLWgtmMHAKD/6ReRm9oJw7bQeUwrrEwaZJi/dsbPuDVG67hkLiYALDh6TtNzADDz/92F7kkhRDEMnYN9YMSFwUKYtI5MeQf8VBtyHpDzgHLawbbxQlsnTlGulYEyXqHKZ5iypHDsCHVxbZacoFXIQKmYdkzZwLaRSAnx9W/zOxMX+w1c4PY1AyjXpQg+SaZaM5zl+SxC2jJQp7zSFYp2ne4g7yoX/WbPr2rA1OOOtK2IFc9BlNU4Hpwtq2GShEn7CT2sO20RZZIrt6G3PaUdhcxflOvq7UTdGgJIBmfrbUspptdblVN7JmCwWkPFD1SrcahaU63PFuGrlnNNbB0pN8U26Xj/Wafu9LVXix07duCkk07Cpz/9aVx++eUoFAp4z3vegzvuuAPnnHPOXoV07ykOp8/gMRH+ztHR0YGBgYHEc6lUCh//+Mfx+c9/HuPGjdsrAnbYi/DH8NpE67hutI7rxvCLz6jn9IlHwySwtTghaTkBJIX3knxVt29W5EsK+WOXeY9HECG2plCmrJrnmHxO/RSaLpm1aNgOwCiosKEwG60rBNmTon27tQOZKTMSy5BMJm5HihiiRqf8sFxWZO2xT7wDD138RvhDQ/CHhhBWZWIAQxSEiIIQ2cnt/DFjovL26j5913ztrVjztbdiYJ2FgXUWzPogzLoIPjcIIoPAZBS+ZcEXrtHpSjwVmXi/ZoSaz13ybRIpQbruH9ZXjHMjdcPWYo3fZFRRyuavS48wp8HBNecY8IIIfRWGvgoDjWQmZXxc4zIEjkbIvDBKVLt053tOyvgUpKxwyePn7y0W4UsDVUXeROA23wdVnl/6a8Qw4DOGgVogBPpRU9sybRGM1AOMiIlJYvDWpBdQocMyuSGq9jv3KYVPeSUroEwRKj1ayKe0iWyOeHUQw0DBddCS4reUbcEm8TTluEIWWdfG7HFtmNyWV/t8NXmPrwSMMVxzzTXo6urCueeei3K5jLPPPht//OMfQfajB9lhAfF3vy9uRwIcx8E111yDUqmE3t5eDAwM4GMf+xgA4KKLLsLatWvxzW9+Exs3bsQ555yzV9s+YipgEyZMAHB4fdM4UDiSz43d2gWgIaJHayOato3QK8O0HESUxRYMxET/SBGGXUdXW2siVxJIErYmkqPptKxsi8qUjCjl43aMqZBv6sUu8/K4rFwLwvIIwBgPuBau+GAsDv5mTE00knSWB2uL9+i0j1P5jbKixYIgEdTNggBDT94bV/dSvPpAa3UEZUFUZflFMAJJvAzTRNHJ4Z9ueWovfhPNCAU3jezCqK/nqmX4Tgq+IKJRaAAmQJwIxIw/vRnjLUi9ehSEPIpIRiNK77HJvHOoph4lIZMVLqkHG5c3En5dDomF91LvBQBbi/yc9BT4czuqFK7Py3Tt7c1RRHyqkrclQ81gFYhbnhL69CMQV7F0qHak8PtyiCn8ypiyoXCIkQjvptqVj5gGcg43b/VDhpxrq8zIoWodjmWiLZ1Sui+fUpTrIVpS8YRi1rFVG1IX8weUQdaKUhZBcXgIXhAi19KKih+oypokX+V6AG9gBJ25NLYOx9VgnXy97dQFTed0f8L3fdx5550466yz8Mgjj+Bv/uZvcOONN+J973vfPtUXH8mfwUc6vvzlL+NTn/oU7rnnHjz33HOYPn06vvvd7+KYY47BJz7xCaxatQr//M//jNtuu22vt33EEDDpbDz2B96M19K50XMQ/aF+GIRXwmR1TLYhI0axobcPBrHR1dbKXxPh2gkC56ZVpQlAgqQZOkkLAsA0ecSPm1au+AYxebRROgfmldVUpBTgs8BX1TBJlqhlg2QLqG1ZB1qsNBmrykBvFewtWpgAr5DJS7i0mjBdF0xoW0zbBhX3ZbUrYgwsCGGKi3h60jRsNAr4n4/MwEVXfOcV/y6MDL+AbZk9Hj1r+mFSvt/IIGCjxCiZUr/qAOWqiXQqgi2qYtWagSo4EZNmqpJntGb4VKRDYoKVTyc2rYiYFOCn7eTrkhclql1ZgtaUiboU44uWZKHGq3leWIBjGqCIlA7M0ipVOcdQ22ustgHJ8O28NhUoq1b8eBimtGQwUgtU1UtGGeVtS3mFyWpUohonhPhymzxEPRDvnygiJScfi7U6Cq6DguugFvIqWEFMM9S0FiSAxPRkSpDGUn8vSjUfPd3dKIjpiaFq0gKDMuyUfB1MPPfcczj77LPxwAMP4O/+7u/w0EMP4X3vex8GBwfBGHvVbcnD6TN4rAWZxPnnn48f/vCH+NSnPqWe+9CHPoT/+7//w9133413vOMdr/jvY6wFOYbDGhMXnIqJC06FU2iDU2hDunsyJp1yZsIeQlaHABmQLVqEtgPDbL4wSsjJRb36JSck7QIXYpNMtnlFcWGLGIXppGHl22DaNsx0jpu2CoKn+3+xwI9bi3Xuv6W3NE03pawmWL3WMMlIVWWPVqsgwqvM0Cos0l7CICaPHgLA6j4i4edE3JhM1nq3AFGE6x56dT5MUdVQt6HWTjDighEX1I7PmefaICwCNTlhMzKR8u2S5MuxgGrNRLVmojXDyVLdj9uKEr4oQKbsOKaIRtzzK2XHuZM8HzFeT3IjxzKQtg20p020p7m3l2Nyny9icIF+zjVBI4BFXJBfDbmOq04j1W6UQnyfxqRIXtBky1G/wGWUwSnXf5V97n4vW5Jbih4X14c0kfXYkrI5sTKbJywBqIqZjD2SVhg+ZcrmwadUabgkIdNzItU0Z0MWZMLbK5KDDhQ2IejM8f+RgFJU/ADFWl2RS8ci6nao4YknnsBb3vIWlEolnHnmmdiwYQM8z0OpVMI//dM/HezDO6CQv/dXezsSMHnyZPzpT39KPPfHP/4RAPDtb3/7VZHzMQI2hiMCXTNmq/tblsSts4hSWIKQREFcydKrXPpzknTFBqbxt3VZWSPpnHrdH+K+X1ILJqcirVwBlpiWC0tDYj1BPBqyHFm9pvRg1KvAIESRrNSkaWq9KAhgt/IeGxPaMknODJMowqW3Y2VbstF6gr9mggUhWBCC1rXzEQS47uElo5zlvYMVxDdCI4R2ht8sB8wkCK1kGYqM8Is0Y/wWhAaC0EA+HWFqN8XUboqAAgHl7ccgjIO3JXQNGDH4TV4MVHi3mRTDy6KXH0Yqx7HsR9hRpaiGDNWQwTINZbxKDCgjVss0EpWnvEOQd0hCG5WxTWTspOGqfOxqBEYu7zMGn/GWozSBHakHSngvo4V0ry9iGup9SjNWn7ImS4ecy4lbzrVUhasmTFt1fZd0uQegbCVogzYwEEMA8r1GiBAyhrX9w9g8XEJvqYrufAaFlIu0bSkRvsSZC5I5i48vXYHHl67AwcTDDz+MOXPm4KGHHoJt24iiCK7r4rrrrsP111+fcPofw2sDtm2jVColnpOP+/r6Rltlj3HEtCDHMIaa5gc29cy3YMMjd6vHEaOKXIVeJSZaYnox9Cow3XTCQT8KeLB2WC4q8pUwT5W6Lw1yIlJOSppuGigN8W1TqrZnWLxFSdy00nMBnKQZJgEtF0GDAGFxGFa2oLat/5SkyjAJn5KkDHZbu3hfXO9mEFOLISqrChgThMu0LVBhE2DmBMHMZAAkP3D2FidddReAEJv6BenYCFRTaaR8HzVHkE1iwBeEJz2Bn8dy1VR5kNmUMACVVhTJ6zdsC6gI1wDZWpT9V9uS1a/mY6vUORnzKZTeS8YMWaJSM1Jj4meE2e38Y7IjzX/WHIKyEJXlGny8Sj5V/mDjMhZ8yjDg8UlEFSTeoP2SrUhpKyFJjSRYNIrUhGOLaycqWTnHUu8Z4AJ9L9BE+9prqwa5tci0lpSKJdINU2UrseA6qhrmU6o0YAAS+i+Z56hyJA0TYRQm3O19ynVnWddGb7EqtmHg1GOPUsvc9Eg8SAMATy17CcWajy1i+YvPPh0HEtu3b8dZZ52FcePGYWhoCBdccAGuv/56XHLJJXBdFx/4wAcO6PEcaERR8kvNGICJEyeiv79fPZaDGhMnTsTw8HBi2XXr1u3xdscI2BiOGEw+7SxsevJB9XjqmW/BliVPNeVBykpXRClgNBeBGwO2jVH0SlKXZdoOYDt8eRne3TApyT3CPBiWA9NNwwyChCWFXC5BxHKcdLG6p543LRssDBKaMHU8tg2imaw2Wm7I52gt6XPEtEgZScp4xe3VEbCq2I3avOjzMdOEL0gLYRGcMIJvxZmRfIbBUA74AOCHBjryUdNUlQ1OtIiRNFiVlS7KtP0DCb8vgOc+SvhhhI5M/OLUVpIgVxtGAmwrh5hUsGCETLUgh+tUxQ9Jy4lW11Ri+rQVt/EyDdN1ettQkq9E2La0lTAMNd0ocx6lRkyGb0tdGBDbZhDDSEwqAsDx4/Ii+JoibRN4AVXWFu0ZV5iqxpOYAHexbxPmazIwW1lYWNIHzAaLIthiUlLfpxeESnsGoIl8lf0Qczpb1H79kGJLsarO4e8eehrve8MpONDYIWxafvGLX2Dz5s248847cdFFF+HFF1/E1772tQN+PAcSYxqwJP7whz+M+vzNN9/c9Jxl7TmtGiNgYzjk0b9+LQCgc9qM3SzJSZiOiQu4n1DvyuUAGqwqCEHUELlhpbPcMV62B4MgFuc3ZDgC8YSkrHABfEpShlnzFmEyhFtNYlrclkJ/ncchZRFWirBaO+D3bo53Rggir6oMWCMEsR2GIGUknVXHGZZLQnRfE9vNKFImtV+mbcFwpW+CiSgIRyWcrxTj2xi2D8VEppwW1S8TqAvT1igVAQyQn1udrRqZENdxWVSRlhI6WrPJZRVMXgXLOskX5MVFhnHLKthwjanYoXFZSzzHj0UatJZ8hlwE2KYBR8t9lJYTutmqJEUdaRvVgDXlQSbboNrkotKNxW760lBV6rnURKRYt8W1MVIPEp5lcqqSRhFaUjZO6WlRLcluodMqwodjmcoZn58f7lDvEKJE99JMFYj1XxJSQ5Y4x1GEtG3BD6kib8Waj4Xzj04s151LozxYShx3xQ8wPpfar3FEe4v7778f559/Pv70pz/hqquuwvLly8cc9F8j+NCHPrTftj1GwMZw2KB//do9ImF7AqXtiviFwxSu9hGlSfG6yJKkdQ92oT2hCQOgMiQBKOsJgIvzabWiqlfSyBWIfcZYvcYnLEV1zMo7CEtDCCtFpfsiuQKoV0F963akeibDdFOcaIEL8okWDk69iiKEvDpnq/cgiZd6b8RUTETqv6xcBqmJExBWiq/29Ca+QQdFU+U9SmsKZsW+X44jXOZDqQHjP00zUq73klxJ8iWrXA7hVS75vPQD05fV+YLDzdvhBfwYW1JxxBAAVIV3xIAXl84oAzJWknTYBCDEUBOSrSmSWJ7vy4RDDNQpQ8Y2E1OPEo1B3Dr06pWjLaec5DWnfFnFkk73jdUtmd2pa9PStgWvHAvuJekCeNVLthmJYQCiqqVX6OJzmiRgch9+SBPtyEby1Qg/5KL95X28+jopz3/5B6P6NRpuvvlm/Od//ieuvPJK3HjjjZg+fTq2b99+sA9rn2MsiiiJn//85/tt2wb4+T5s8fTTT+OUUw6Nf9Ax7D/IKhgLfVjpLNonTt7rbWx++hF1n4U+7EJb7J/FKOxcAWG1wlt11YqacNRbedyjK7aEAJAgPWqZIOBtSd2qIvSV9ot65djDq+7xCpqosunEyrAceJtWx5FFmphexRCJKph8LO0pIkbV8hGj6n1QrypimUSfUJIz21KxRAu/d/Nen18dc754l7rfOySsC6oawRDXZTsVwRSeXylBxPJpaSbKl8lorcVGciX9vWT7UVa7Kn6UeNwIIXdTF5px2ZhASSG+1Hzp1hSNVSwAynhVJ0mS+HRofhejEbBGNMYLyTbcSD1IxAjphEtWyhohW5jyuLyQoiubalpOIiWmE7cKU7XObCphPQGgqdIlQcykSL8l7WLEq6vj6symMW/OzJ3u+6llL8EPKZ7aEofe/9vbX7/T5Q8m7rnnHrzpTW/Cb3/7W1xwwQUHZJ8H8jq3cvsIPvO7J/fJtq5c2DZ2fd4FxipgYzisoBuk7i0mnXKmImGm5SAoDqn4IcN2EJSLiAIfJJMdlXwZxFRkSydcAJSfV8SosJoI+LbFtCW3l/AAQbZMh7eATCcNJgiUXx7h+xEtRpLOAowiPXEGIkZR27ZBhWlHjCqSJQkbSWdAvSqcrvEIi8P8ON140jKiTAjsk6DSHT8IE9YYrwRv/35MvLYP858V4Z9VZDFBkUJ7WcmyrUgRMAm34VcttV58m9zrq9DQjqwFgsyJ53W/L1lF80J+yzkGCPjPkEWqyiXbiLsjXhJOQ0sO4HYUrSmigrU9EZytQ+VGarmQestRthCl9QQAJczPOZayreDHyhImrvqEJI14nFHa3nlrWbYfizUfnRpJI4aBih8oXy9iEvhialK+DsRRRfKxTr4A7JJ8AVwXtmTFKiyc3Alg99Wyg4mPfvSjeOmll3D++efjJz/5Ce67776DfUhjOEwxZkMxhsMSO15+aZ9sR7ejkBUt03IU0VMTkYyCiWqS9AKTU5NA7I6vpiJF60XaROjrSRsK2YrUNVfETYNkC4pcQXtNRhTJKUir0Mp/ZvPK24vk8uo5K5tPRCZZubyyqzCICbulALulgNSEblj5LKw814+53ROx5Jufw5Jvfm6vzuWnf3MvZnYQ5c8lLSNSDidXhRxDIcdgCbKVciJkU/zmWLz1KKOCUk7s82VbQmwv7CPy6dho1afNsSfKbkL4ffk0mfUoI4taUyZaUyYs01DkyyFGgmxJPVbeIZicdzE57ypbCXnjx8HUTa5f9ikoAwa8IEGO6pSptqS0oyCGAcc0lacXMQxFvvhxSXNXS9lRSD2Y1IQB3GZCWk3o6wHC4kJYTLz55PnqeZXryGJTVcfiRq3ENBPB3HJ7SqfWoF0DeDWsFlI1ObmnZquNlhmHKtasWYO77uJfNI7U6o60gnm1tzHsGkdMBeykk04CADz77LMH+UgOPRwJ56Zz2gysf+B29bgwez761q5O+H/tCfQq2MotfMrpqMkTYGpEJ/QqyjtMkiO94kW9svDX4qRLCuiZRuYaYZgEMAlMcZ8U2rjnl0lg2A5oZQRuVw/CcjGxX6h9cn8wCIJnmARhcRipidMBIBbrU6omKGUVrLFFKb3EoiBQejPZ8rQKrTDdNNbWjN1+gt7zzFJ1f3kfr96tGfYxsUCwvcTQmknaSBA3WeFKOZGqSkmeIMmTKfIas07yeUnQRsMusp0B8KpXWkxNEtPAcI0hLQxaG+0kdBLWnRXidEE27KFtKPoUpLMHOVEt4zoo3uazTChT1gk5FzuqdQzXA7jEVJmQUhsmyZe+fQmfMlQFARuXcRVBkfouj/FJRkmE5HSjhENMUMbJmRdQ5FwbPqXozKbx1LKX1DTi40tXqEnGih+oicXufAbENBJVMbl9vQJGTBMVP8Dw1o0AgNaeKeoYDhWn+32Ne++9F+eddx6OPnrPKnWH02fwmAbswOGIIWD5fH73C71GcSSfm1dDwqoynkdUpnSvMIBXwiitJSwd5MSimoykVNlWSKisSFPmThIePRT4qi0ZDPZyZ3w5vZhtAfPKSrwvK1+mywO9nc4e+P1bAcIJlQz6DktDvJ0pyZmm11G+YZQfh/QTY3UPLAxAcnGFzG7n2i+7lbeAfFoHq1Xx8i2/hNvN9Xaprh6+HdGe3TxSxaq+YQBAq8v3lbc529oOptqFUsNVVZ5dSY0XALSIWQJJ1kYT2+vPS+jVLn2bct9S69VordCainfeaCchIW0lBrwA1SCOFIrKws8KvMqlV7fCBs66arCKvMMrWWVQTMjGZmajCdobITVhZT9M5EJKo1VpQyFbkJRFsZ2D1PwJc1afUrSlU+ocqGPsH8G0tpzIgQzQnY/b1GnbEoawJrwgFCHf8WsShZSDLZUqHMtEZzaF/kotUWXbGxzK7UeJBx54AADwwQ9+EEuXLsX3v/99+P7Ov4AdyZ/BY3jlGGtBjuGwwbRFb1c3Wq/tfoVdYNIpZyYmGA1iqqlBwySJ7EgJQyNFEkRvR2ptSIMQNfUohfCm7fAQbvBsyGCwl5MqQFW6Gveh7CmICZLOIjVhqtoWAIAymLYDp70bZoY740vne7u1E3ZrJ6zWTpiCNLG6lyBpevULEA7+uQJMx4XTMZ7r2cTQgbyFBkFoEKRsrivStUU+i+CzCGkbmDXOQD4NdBW4SD4jbylxE4/bc7wqFYR8uawbtx1lu1DGE8l2o4wXUu06u0HvZcobd5JP2/wmo4R2VCjqNEKdRmh1CVpdorYlbzqZytgGMrYBy+QWFLYwOk1r/l3S9Z4HcscO+FyDRZBzCEpBqJzu5XoAVMsxbcXHIV/XbSkAqOVkO1K2KeUxSINWYhg8rsgmGKkFcAhBxQ8S5qsAcOJETrrTtoWelvhvIW0TjHh1HqIdhCjWfEHwuG2FH1I+ACBujjYp+krI18L5R++SfK1dvwFr12/Y6+3uDzz33HP49re/DdM08a1vfQv9/f341a9+hUsuueTwJ1sR/wKzL25j2DWOmArYGF5b2Nuq12j49o//DwDwmx8kA6epV45DuDVHeWXlIKpWsgomnxsNBiFNY8am7YDWPZ4RKYmbScCCAFauAMOrIAr9uDIX+mD1GqwC14ClJnJBc/GFx7h3lyBvVrZFHX/jMSi9mdSPCT2ZMouVRFIuZ9Vg2A5IJtuUAmBrg4VyQk4SkVbhKbajIlttfDmSjnVYjeb00serkvSIVevGVa74tVoQNRmrynV0sX3Zj5BzDHhBpAiMnHh0VKUoUjYSO6q8BDcu0zxxOBqUqwcMZV3RkbZQ8imqAUPekTmPkQrk1luG+n2fslE1VVJEn9BzsVjwrlfgJDjhMpX9ROMykuj87L4n8NwW7vA9rS2H9kwKvaWqeN+Ua9PEurFPGBMaMSLIF8+RDGkEixhYcPScnZ6vV4pDhXjp+NznPof7778f11xzDWbOnIkLL7wQF154If7nf/4H8+fPx+bNm3e/kUMQEcb0WwcKYxWwMbzmMWHeCeq+rIIBiEX3mihfz5WUMBrahaabVvYT8qcK8W7r1CKFkmN+kmCpdewkVYkoQ0QZWN1Dfdt6AIDb2QO3e5KqZEkyJvcnq3xWtgArWwBJ50DSOVXpIm4axE3DTOcSAeZ8/w5fXkyFEjcF4qZQqgco1QMMVeMqZGP4bkvKREvKRGfWQGeW5yeOywOtGX6TAvuUHX9bltUv/bWUHWc6yqqY3CZl3M9Lvi7F9rJKNqlAMKlAVIUm5/IwbR6cHQdpExPKKDVtGUhbhtJqAXHFiVedeM6iYRiKUMlMx460hY60xS3WRDWMC+STyzZOEOrie0fzzdLJ2Ug9EAapLNFalHmROjnTW5A+ZUjbBDk3Jk+UMfz1qSUAgJntebS4NrqyLip+gN5SFZ3ZFLKOzY1YLSKIHFXrSkJWrPmo+EHC6+vHP/g+Xku47bbbMGvWLJx44on4zGc+g9WrV6OtrW2/eke9lnH//fcjiqLE7Te/+U1imdbWVvz85z/H8PAwhoeH8fOf/xwtLS0H6Yh3jbEK2BjG0AC9xQjEonyDmDwEWxAR3VVf2lAAUHovqRfTtyfbk1auoIhWMNiroomcrh5YhTbUezcpZ3sgG+vKEGvM3M4eUK+ifL8M2+GVrXybCgBXOjRxbFZDBqbuwp+eNDOuhFkWooiN6v4vkbjoNxiGukRMAjasIyVQqnJk8IgggGc0AokOaQItYjnNI5Xv02rUf/HtDFSpakECgBdESvslq1+tbvNHoE6+gAaNFjPQIKFK+HtJO4menJN4Pra0iLVx0n5CbzMCMfHyGUNXxk0QLj0jUrZ+ZVwRb7US8V5jwT6NIpRrvnrtiS3DAIAv//F+TuIsE31a+VFWunxKAcqjoACgLZNSbciKHyjfsP2N1WvXo+jx49sf1bV9gcWLF2Px4sW48cYb0dvbize+8Y0477zzcMcddxzsQ3tFOJTbhzfccAP+3//7f+qx5yW/OP7617/GlClTcO655yKKIvzf//0ffvGLX+Cd73zngT7U3eKwJ2CZTEYFY45hDK8UE+adgG3LFwOIK09MMz0NvUr8fOjDtBxe+RJtSEm+SDoXZ0Q2wCAkYcwKxBovu7ULwXCfMnAFAJJtQRT4CIb7lRCeVriGzJ0wDQAQDPcnjllOUUpdl3wcCWKlV9kkkbPE1CRJ52BqBrCGSRLVP6lpk/0JnzJ1se6r8GqYrPRIgiMjfGgk1+GbiP26eCWLt+D4a9mG0G25XendlXNisuWHEfwwUvuRIdqNaCRecpsln6r2oyRJGdtU70P3ApMEyRbbyIiYH/macoAX58clZuz1ZRixsexOJi7zDlFmq3KCUVa99BainHwEoFqXAK/U9VXqahvEMNCWTmHIqyFtE5TrIbrzaRw/jmuUnt/BHeezjp0gYI0xRBLFmg+fxvYSjeTr+v/9AfY1Hl+6ApV6/OVjyYpVhywJA+L8SAD453/+58OSgEUNti6HGqrVKnp7e0d97aijjsK5556LM844A48//jgA7tv2yCOPYM6cOVi1atWBPNTd4rBvQR5zzDFYt24dXNfF1q1bD/bhHJLYunXr2LkZBbs7L6ZtKxG+pQnVJTFTAnnbadKASUsK001zHVjYPCEVhT4nNSYBrXtwJ0xTBEgatcrKlRLrg+u0TJsTKLerB25XD4LhfjAhvHc6uuF08kqa09HNdV5Ct0a9SoJ8mekcn7g0CQzbVsMDna0FjBs3TrQeRZvSsnkgOIvAhL1B2iYY8mqKgEgBemuKoDVFYJkGLNPQ2oT89cmtJia3xh8/DjHQljFQSPHtyLadvKUtYSFhxilK+rd02XaUbUbHMuBYhiBs3GhVth3lNqVIXh6TPA6HGCj7FGWfJvy91O82nUM635IQ7PNjENswTdXS1Cc9Za6krIxJP7COtK2Zv8bklkYRyn4IyiIM1nx10yOL+LmKMyLV+WAxMRupBdheqqHsh4ljvuI9b2yyiZjZnkdnNo1CylHmqzoCynb62tjnDNDW1qbud3Z2YtKkSQDGzs2+xAUXXIC+vj4sW7YM3/zmN5HL5dRrCxcuRKlUwmOPPaaee/TRR1Eul/G6173uYBzuLnHYV8AAYPLkybj11lvR3t5+sA/lkMShxvoPFTSeF70KBkAJ8G1RIYrq8UWY1msJ4hVBs7MIfMBKRhTJsG5ZGdM9w6xcQeVIhuUi7PZuhMWhRK4kgFiYz6iqkkln/Pyxp6G67iUEg72w27v5ayLYWz6WAeEAr3ApQ1mteifF+jOmt6hzQFJcqC9be7KaJbU/DiHwQl5BkURCVnVCsY5sE7YrOwh+HOkGRb4nnxefTPKbeE6I+/sqfAGZ4Sjbi41B3DJOSN+GXEYO6/FpQZI4Hso4wctp6n6d6BETIO1dsIipKl2jQQnsWdxq1PMg65SpCpqcYuQElrvbTyzw382WwMPR41oBACt2DIOYRsKcVRquluuh0oTpNhObhvnfycyOPHpLHrYWq03O/ToJW712PTYMxlmgKWHICqBpelKH9BTb11g4/2gsWXH4fH4NDQ3h1ltvxTve8Q6cccYZ+MMf/oDTTz991M/gtrY2VKtV1Ov1UbZ0cLGvRPidnZ14+umn1eOf/OQnuO66617x9n79619jw4YN2Lp1K+bNm4evf/3rOP744/HWt74VADB+/Hj09fU1rbdjxw6MHz/+Fe93f+GIIGAAYNs2Zs2ahSVLlhzsQxnDYYrBLZvUfVqvISgXYQnfLkNrx8h2X8Somo7UvcR0XVXEqGrhUeqBBb7KhJSkjCMmZMFwvyBPOcA0VdsyLPGcPKedf5BQr4ywOASSLYBWy8hM5xdBv09+0x5d5C91XrFbfyzY1zVfTqEtsX6jX5U07PQpVW0vWXWROqrYW4s/bwnCNCxahdII1Q+bvcGAZEYjAHRlm4v2bgP7ktselxFVJY2Q5GwTIYuJop69KI9ZVsP0qleuYdxSEigJ/dxUQwqHGHBJM+HS25b6FCTACVhJGKGN1AKl9do0XIZDTLSnHTiWiZEaP+9rh/m04uy2uDqrV8dymr4toAzd+ViL2Fj5emoZT5ZwCMHsrjas7huCTUwl3u+v1FBIORiq1jBUraEtE8cVvRry9eDiZaMej44FR885rEjYO9/5TrznPe/BTTfdhNNOOw1ve9vbYJom/v7v/x5nnXUWOjo6QAhBLpdDuVzG5ZdfjhtuuAGDg4OYPXs2rrjiCtx00034wx/+gGw2i8wo8WH7ExH2nQasv79/t2kBV155Jb70pS/tcplFixbhwQcfTJC3ZcuWYe3atXjqqadwwgknYPFi/uU5GsVXzzCMUZ8/2DhiCFipVBrTgu0E0pemVCod5CM5tLCr80LcFFjgJypVxE0l/MdsUblqNGs1iMmrY+AkidtZ0NgXTBORG4Tw6pcgYimh9QqF1kuSKZJtUZqwnUHZRIiKl5yUNFSFK6v2CcTTlgkvM0HAKl4NvllGNsNbjwBQFTovKYiWou5izWiyapAE587VsUD29Cl8Oy4x0Oqa6Pcoyn7yQzHnNJMp+ZxlGgmypaprgtRVheXChFyyqqXrviQk0atqGY15J0nG0hpZ0sF8/v6rcJEXHhk6qcrblnqs68B0sb10uJfLAFw7lhE+YLrQXuq8iGkocX172kF7mv/+Bj1fnX/ZjgS4EF/+juydxQdo6M7HRO7NJ8/HkhWrMFLz1fr61KuETr729nNGkq+hah03P8od4t91xkmjLit1X48sWa7I2KGsBfvjH/+IVatWYc6cObjzzjvVOWn0CMvlcvjmN7+Jq6++GgMDA2hvb4dlWbjgggswNDSEfD4PxhiWLl062m6OCFxzzTX45S9/uctlNm7cOOrzzzzzDMIwxOzZs7F48WJs374d48aNa1quq6trp7qxg4kjgoDVajX87ne/Q2dn58E+lEMSMgZDujePgWN350WK7SVBodTjk4luCiz0QeseTMuBlcmC1j0QGfkTNltURFQL8RZkK65+xURMEi/ZCpRie9mODIb6Qb0ySDoHw3IQlgYVkWLCBkOu2zjNScXUptPRndi/XI5Pd/L7S9YtQUS345Tj5inCJSFbUoPigkyjCC0pG+U6d2XXQ5kvODaP4XpybHFAG2OMCZehyJh8rlUEiQ/XR5/EtBqIl8xzpIwbp4IAw3UpUJckjq9b9ikm5VNi+3FrTTr6A3FbUG5Tcpj6ji08H3LKzET1Sic/I9o2ddG9XF4SLf05oDnYWxKuFi0CoD3tJEiXDp8ytKcdjNQC7r7vh+hqmGoYrdrkBSHWD44kXpcVzslteRS9OlpSDnpLVbzt1AVN6wN7/jlzx5OLsXGkihV9IxgvIo7aRFzCg4uX7bQatnb9BhSFMezUjhZs2rQZkydP2uW+DhbOO+88MMbw0EMPYdy4cViyZAnWrFmD22+/HRs2bEC9XkexWMRb3/pWfOELX8DChQubiIOuJzugOMAi/IGBAQwMDLyidY877jhYloVt27YBAB5//HHk83ksXLhQifAXLlyIXC6X0IUdKjgiCFgqlcKjjz56SPbSx3D4oH0irz7pOjCAtxGDchFWJquqXgD3B2OhD2j8QpI203IQehU4rZ0IvQqoVwYNfVjZFtWC1M1WDRK3I6PQV7YW0kRVOuhbOa7NIrkCCGJ9GK1W4Pdthd3WqQia2z1ZkTH5PoDYqFW2SYOiaG1Ompl43ywMQes1sBTXwA1V+fJxtYUTpCGh/1J6LHAyIltlsrIkiZjkGI0ES690ATpZMRPrNWqygDgeJyNamtLFXhrDAkA1iFBlkVpGotW1FQkb8JqJU30X/RgaRYkJRXlu9NZiY7tyZ9mPcv1Gh335fEvKhhdQDHoxwW9s/QK8ItaSsjGnqwWr+kZQroc477QTsDPISpQ8rkeWLMeZC+ap13UCvjPytaeQ5OvYca27jGBqxOq160FZhKzroCN3YFtyrwS/+c1vUCgUcNRRR+G///u/ceeddwKAIgUSt99+O26//Xa0tLSgo6MDnudh27Zt+OhHP4rzzjsPb3/72w94Z+dQNWKdMWMGLrroItxxxx3o7+/HMcccg29961t47rnn8OijjwIAXnrpJfzlL3/Bj3/8Y3zkIx+BYRj48Y9/jFtvvfWQ1EIfEQQsDEMMDg4e7MMYwxECaczat3Z14nlJuAxCQARh0tuOsvJlEIKwyoO2ZctS6r1o3UtMIeqQrUHT5qRJ12NZuRbuKWYnXellPqO3fROAtiaRP9GKYIZJwOoe0t2TEXplpLp64G3fBOKmYdhOonIXMR7qbXdPQspIEpaysAXYPMzbKjKCRg+CBmJCJuRfiRYfAGwqCYLWYMvgNGi6XE2oLzMZG8mYqoKJlptedZL7XT/CCeTRHbzaMuAFajnZBoR2iJKQNNpNhEr4n8xcBKAqgA4xVRtRrq/bTejkQ5ItL6RKiO9ThhbXThA5/fzKiphsM8pWo3TA9wKKVX0jyLkWRmoBfvPgU3j/WaeiEZJ8AdznSxfaSxK2r1t+jeRL2lrYxBy1+rV67XoMVWugLEIh5cAPKQrpUbxKDiHouq1/+Id/UARsZxgZGcHIyIh6/OMf/xg//vGP8atf/QoXXnjhfjvOwwm+7+NNb3oTPvOZzyCXy2HTpk24/fbbcfnll4NpjPGiiy7Ctddei7vuugsAcMstt+CTn/zkwTrsXeKIIGDXXntt4o93DGPYF5BxR/3r1yYE6bzdyO0lrEwWYbWixPqyNQnEOZLUK6vWoyRejX5gjdDF+xJ6PqQkZ/4Q9wFThE4aropK2WhGqoZJVKuxZQ7P7NONZAGuC5MfaQGV4nSaeJwS+qeaEI7LaowkHo2hz1LkLolIh/Dfkm1BWbVqdIoPWUyowoYMRVnNam1M6dbWl/s7usNFyacJ7y/deX5AVOx0c1bdHFXCQPxcY8i3fO/y9VIQqnZjIwGV+9arXpI86Xj/WafiZ/c9kTC79UMGxzKVv5e+z7RN4IcMhBiKkAHATY88g/eeebJa9sHFy9DTksNQtQY/pBiq1kY1Vt2XWqvzTjsBjyxZrh4HmpfczqCTLx2HavsR4CHd//qv/4onnngC3/zmNzFr1qxXtJ0vf/nLB4WAHYpGrJs3b8aiRYt2u9zQ0BA++MEP7v8D2gc47AlYGIb4r//6L6U/GMMY9jU6p81A78r4oiGJUUQpWOjDysQRQFY6h9Arjx7ibTvcuJUlNWD69KHuJ6ZsLGTepGYXAXBiJ7MaFSmUTveaD1kCtoP6cD8y4/nFKxBGrVYmC4aYZESMcn8wAH5IFekCkIieAbQ2WRi33wAkROKAXtmKiQcQEy+doBBNq6VvU+1TVr4Yj/oJGVMkTS7raUJ3SUK6s2KgQJCy4XqIDuGFITVhOnQytKuWWWMckHxvra6dIKK6dYXesuUh1/Ewg7SbuPjs0wHwyppjxdmO8n7aJqo1KY9Pmqrqx5NzLBDTxD3PLE0EZUty41gExZqPWkhfUZD23uDMBfMUCSOy1coY5uQIdrz8EsbNap6qPJzIFwDceOONuPHGG9XjV0rA5s6du68OaY8RRYdmC/JIxGFPwDZv3jw23TeG/Q69PWdaTjzV2DjR2FC5YqEPksmCVrkOzLCchKWFFOcDSfIlSVYkIo0kGdPhtPKhE1qvwS60J0icmckmnPzlgIAErdUS+4zM5EdBEAEQpIuxCBVNVO6JilfQoAWT0EnCaFBu+YQoIuWFFF5IFRmSuitp/yBNTCXJytjNWio9b1EuKzVdctm6IjixBYWu4dLF8xKyssffe0NMEYtU+w9AYhpRrcNoTLaimKjJyhc/HkMRNd3r63/vehQfe+sZat9pO3ao90OW0INNa8sr13uAEzGHmPApS0xV3vHkYpx32glI2xZ8sZ9Ciuc/Fms+Hl+6QoV17w88smQ5+is1tGVc8TdEMb/VSbwOxC3QU489CstXrVGvz5uT1CoeyXjkkUfQ399/sA9jDPsJhz0BG/vjHMOBANEqSfr0ImmsMCHWckWUiuoUJztWtkVNTrLQT+i5dMNWpoViG6JiprzHRukNSHIlsykTDv0NU3VOC2+lSgJm5+KxeL1SY4n3MFzh2zK1CpS8aEtrg6Fq0pZCEi9ZiRmtciRJkmMnLSCkUF+SKTpKdaxxe42TinXKlJeXJHAuaSaD0gqiGlI1/SirdgBGnTIkpgEpbdNDr3VIwkZZlGjHcvKUJF+SIOnbA6DakQDwmwefwrvOOAk3PfKM0IgJI1bLhGOZqgUpTVflPqe0ZlGuB6Oe/zueXIxNw2V059Io1n0U6z7a0il0F7h2ae36DZgxbWrTevsCOvma0dkCzw/Rx4AuM8CqshjIcO1E7NBriXTpKBaL+Nu//Vt897vfPaD7PRRbkEcidmsOc9lll+Gpp57CyMgIduzYgVtuuQXz5s1LLDNu3Dj8f//f/4ctW7agUqngL3/5S1PJddasWXjggQewZcsWfOc734GhfaDLhPOLLroosc7FF1+8x9WtZ599Fs8+++weLftaw9i5GR2v9LzIuB7dvwuAetz4PCAiiWwHqa4e2IW2plajrF7p4d2GSWCls7DSvJqlV7R0YsVCrj1zCm1wCm2ceNkO7Fwh9viyHR5fJI7NtG2Ytg0WBmBhAJ8yVOq+us2cNRszZ82GH1L4IYUjgpf121knHIuWlINp7XlMa88jZVtI2Ra8gMILqCIYXRkXXRkXUwsZuMSES8xEhA/ASRWNIuQdwm+2pTy2GpdRcTpmHE0kY4UaIWOGpPZL+nulLYJW18aAF2LACxNkSN702B49jijTPQmZ7kkJwirX17exsylHSb4oi3jrkEXIOVYiB1Le9POk67cAXgHzQz4dqa8jbUFGar6476jtF1xHbVO2JdvSKRRcB/RV9p329v9Jkq9txQq2FStYOsyreTl315qwwxGv5jP4QNsnRIijvV7tbQy7xm4J2KJFi/DDH/4Qr3vd63D22WcjDEPcc889CY+Sm2++GbNnz8a73vUunHDCCdiwYQPuueeexCTID37wA/z+97/Hueeei7lz5+KCCy5I7MfzPFx11VVwnF2Lk3eGUqk01orcCcbOzejYm/MyGrnigvvaqIQL4ESNhX6CYElCJGN/TDedJFy5giJHEiz0FRHjXl2pRJuTuGlElCEoFxGUi7BzBdi5glrHbe0EcVMiPNwFbFeRSFqrqWqYWy+rWzabRTabRc51kHMdRcT8kCLr2Mg6Nh5fugJeQNFfqaG/UkNAGQLK1MVeEh3ZXvRCCsc04ZimRqLErYGQlYIQpSBMkKzGDEeXmIqoyVxFiVbXUjdJ6uQ+BrxABV1PzruYnHdR9kNFHPVjkccNQK3jptNw0+lExaqxClb2w4Qgv3EZnzI1vai3MHOOpfZPWRxT9LuHeJyLbgMhK2A0ipSPFgB0Zdwm0kijSIndJZH1AoreUhWUMfWcxCupfu3p/5NutrqtWNnpcoey0ereYuwzeAyjYbctyHPOOSfx+IMf/CBGRkZwxhln4LbbbsPs2bOxcOFCHH/88cqt91/+5V+wfft2vP/978f1118PgJvKPfvss1i2bBnWr1+P1tbWxHZ/+9vf4pxzzsEnPvEJfOc739lHb28MY9h/IG4aYVW0/UJ/1HYkwIO8DcIDt4PKiDB3Tbrq635dEjKDUlpf6CRPn1hsXKdx8lEZxAYBDBYiMi1EpgViGgjTwindAEbs2Am93GC+Om/OTDy+dEXiOVkxkRf23hKPxpEX/XZBCnKuHbfNROVOaZKsZAj1aNYP6n00hFAnjyW+L3VkskIlW40ykxGIJx4BoENMUOpmpyPa65Ig+WiuEDUK7+X7aTRU1a0m9GUUQRLh5gBAiJHYniRhP7vvCXRl3YTmblC0f8uqdRvvV74fn1Je+TJNUMZQcPnfTsXg7cli3Ve/w/3VdmzEWScci7XrNySe29/i/zHsISKAseb0iDHse+y1Biyfz4MQgqEhHuzruvxDtlaLLyZRFKFer+PMM89UBOyLX/wi7rjjDuRyOTz++OP4/Oc/n9huuVzGFVdcgSuvvBI33HDDXttKzJnDvy0dimZrBxtj52Z07M156Z7L2+5yGlKSIUsYoSJsXkfqvSSkVYUO6c1lt3Wqx0CyLWlJQT6lcFra4I/EodpqGXEc+valFk0SkSidRQigJny8CmkXJU9owRqE9P29PAKppZO75ksvKH0CUs+CBJpbR3pLS4rX5bE0Go3Kyo/+nCRpCeLVECskCUxCIyb2IScOZcsTiK0wZAtT39+g56s2oC68j0X+nDBVB3bAMg3kxLmRcIiZmLxMnAttG/J9SL+wTuEGv7VYHfV9pi2iyBSNooSuqz3jqrggeT5kBmTBdZBzbXXuudA/PiZimrrt2S7zGPcEe/s5c6DI3qGAw+kzeF9mQY5h19hrAvbd734XixcvVo6+L730EtavX4+vfe1r+MhHPoJyuYx//dd/xeTJkzFhwgS13t13343u7m60tbVhx44do277Jz/5CT772c/isssuwxe+8IU9Op58Po9FixZh2rRpAICenh712sqVK1VEwYQJE3Y50qvHZ5x00klNmV0SW7duVf9E+Xx+l/YXzz77rCo7z5kzJ3FsOkqlUkIfsCuvk1fynnp6ejBhwoSd7v9wfE/Aq/89yb+Zbdu27fF70vH0C8uF2aoH0xEtIHFhnDaxBx0FXvnqGxrG+s2c0EQ0bAq9XjC1R3mHrVi/CVWvBoNY8fYEeRjX2YHpospWLpfx4str1TbUBKRY7+hpUxQB27hjADu0YRWpv6QwkMlkMG1mrNdcvPg5AMD27fz30TWOr0dME5MnTwERov2hwQFs2czDyyXhkX5gFjEx/ahYJ7ptw1r44guaJAOSX6QLrWgbx8PFS5UKhrduVKQqUFmPnLTkxk8CFefZG9yhLDQkJMkybBf5CZPhmNwnq3/dKpTC5itKZACp9nFAroCujItqcRgDW7bHr0MbSjBNTJg5Fz5lqJdGUCyNoF6K96/zwnShFYUuTs6Ceg2DmzdgqOGKlhEEb9zkqdhaZPBCiurADoSVovIZcywToVivls2ge8p09fyGlSvgEBPD4tj0Yyad3Zgzhds0bNq2HQPbt2lmuSEMGOq9TZrNpx3POuHYg/L/dKh/Rki82s+9V3t9GsORib0iYN/61rdw5pln4swzz1TOs2EY4r3vfS+uv/56DA4OKo3YHXfc0bR+EAQ7JV8AQCnFF7/4RfzsZz/D97///b18K2MYw/6HrIT1rV2dENLHmY8ht4ywLFW5AoQeLPCTVhKGgYiGsIXJa6MTPV/EVNs1iAXTtvn2BdmJIpbYv2nxf2m3rRNuLovK1jjE1iTJf3czikBMs6n6BQCsof3HoggsYsp8VTfslNOQUSSDqWNn84rP9VaSVOlExTD4RKEkB3ajOF/wigiRIiWqMmURNYjQWDmziKmWG6nzAYOUZolRE2SMRYAt/Lt8yhAI1bA0e9WJTcg4SXKICcs0EYjXJJHxaaSqViyKFCkNhBifmAYs01TL1IXrfS1ksF1xDKaBUOzLMmPPL9Pgxyz1X3c8ubipxanDtYjK6WRRBJ9SGAYnyjr5AsbafmNoRhSNVcAOFAwA0W6XAvDtb38bF1xwAd74xjdi5cqVoy5TKBTgOA76+/vxxBNP4JlnntmjCID7778fy5Ytw6c+9SkAwBNPPIFly5bh4Ycfxve///2dfoMBgKeffhqnnHKK+qYxFjjdjLFzMzr2xXnRcyMjypTeSmq0qiSFdBALjRu9vEKvnCBqAG8jSrsICX9kqEljJqtm8vmI0bglupP9AVCGq6b41zdMU1WvJB5/8ikAwLz5xwOIvb6KtVgbtrOpOakFA2K3/GCUT3SpX5JkQrbvRovckQROf02SmdHIiCRlCWf6hvZl47py27oofjRz1f51vGrSOX1Ooj3aaCmhe4JJQuYQU22fRpEiWbonWCNyrq3OtSRh9zzD9bajESg9Xoi/H6splcCn9FW3HBsx9jmzc7zacyOvcwcCSzaO4Nxrnton27rl/a0H7LgPR+xRBeyaa67BBRdcgEWLFu2UfAHcswTglhMnn3wy/vM///MVHdSll16Ke++9dyzfcQyHLVR7rCU1qtGqPhXZaLJK3DRorQaSSimtmU6+SEqI6kfJk1Tu+qNUtQxZ0Wm4GLMwAJAkJ/KCXxF6sZpYN6VZQwyJKosiUEprpFWbBLHT15PPNRIOSWZyjpWYPGx8TeJ9bzgFN9zzeCK/UW5TNyiVSGvnZFeETidDOnGRywY0gk3iqttomZCUxc9Ll3uAV/v0feq6M90wVfcjK9cD9X5uuOdxXPLmhbusXDUSq6eWvbTbZcYwhjEceOyWgH3/+9/HBz/4QbzrXe/C0NAQuru5tqFcLqNS4d/s/+7v/g79/f3YsGEDjjvuOHz3u9/FzTffjLvvvvsVHdRDDz2EO++8E5/85CdBRxnvH8MYDhXI4G4dW5fGGpAMjYdTRqtYNeY9AhqxildVpEvaRpi2DSsthfdcDG+YBCwIEtFIye0KV3hLVpUEuTAIKtoQDcDbeACQFRNzkjTplTI5OSfblcTkBESPjZGmrfpEoyRojpUkgqMFVEvismEkNqeVkUE3PfJMvG4DqdydoWp8LLEDvb4NYjVXyyRRqja0PvXKmk629H0TQXC9gKIl5cSDC07yI7jxuOU5SdukydZiV5ATqwvnH41Tjz0qMcG6P13ux3D4g4vwx6YgDwR2S8A+8YlPAADuu+++xPP/9V//hcsvvxwAFxB++9vfRnd3N7Zt24af//znuPLKK1/VgV122WV4/vnn4Xne7hcewxgOIfTMT4p59RxJIFm5onUPpu0krCJGI2WqEiaImLS/GK3FqJMvORVp2k6T+F8SiIDSUXVgOlJ280dFY9tSD1Wu+ILsCbI12hep0dqEEo1tyQk5V7UjzzvtBNz0yDMJYqXHCTXaV4y2XNqKCc1orcnRciTleqO1PvXYJd3CQpqpAryVWK4HKNcD5QTfniHwKR313DmWiaxjq/Zt2S83HaeOmx/dudHnGOkawx5jTAN2wLBbAqY71u8M3/ve9/C9733vFR/EG9/4xqbnli9fDsva8xmBMZO7nWPs3IyOA3VedM8uFvgqR1JWxEw7jiuKg7vtpjaiTqAatV5AHC+kjGKDQBE2FQBuWk1VGtM0ASQJkjRRjjVczQRKxhNJQb5OyNJivRHhJ9aiVcWkbUJKrJd1bPRXkhU4tR3NB+u80+Jq43vPPDlRAdN1W7LFJ4lXWvMU04lVIuNxFPsInWDpbUb5+/QpU+dRGrjqywKiqmYm3zeApvfrEKJeJ4ahCF3FD5T+7iNveV1inRvueRzjGwLEpaast1RNGJ4eCIx9zuwch9O5iTAWxn2gcNhnQUqMRe3sHGPnZnQciPOybflihF5z5YKQtBLf695fijBphEdWu+xcIbGsjojGvmGmnWxNJvaxk+PUpxoB4KijeMWEsd3P6PijkBepIZMVMB65I+wlpLWC9imvC9MbsSfRNGU/bGrnOcRU627RPLZ2h9GqafpxFXqmKHKWCOIOY9G93jIcqQWY0sp/J772e806doKslRuMZmVVrNZwfn/30NNq29tLtYSBbKNB7YHE2OfMzjF2bsYwGo4YAjaGMRwOkPovKdI3TKKqWYZJVBVLEjGg2WTVtB2YQscldV0y6zG5nN0UkST1X42aqUakxMW/qqoyopUYxaTJadBpeVor0RslYFpqzqRtha1VmGRFSJqSAsD6obJYL/l1/K9PLUk8biRJejtQkr7xuZSqjHmj6NL0aldCr7YTQqMTL7UNK7aO0Cti7WlHmdbq+x+pBejS3q9uokqjCLWQqvX0ahYxjQTpajwefxTPszGMYY8x5oR/wDBGwMYwhv0IXaS/4+V4Gk0K6Gm91uR+b6WzquqlQxIxuZxp2U0aMMM0Ywd8QeZMO16uMfJH3dcmFxljyufPFASqUe8FxORKWSxolSN5v78cazidUXRmUu8kq1fpUbRmja23Rs2YJG1BYgoxvi+rcD4VujTj/2/vzKObKtM//k3SJd2gHQplEVsUWhSUCsNSQSyCg4i4zDgCo4jHmeo4iMcFEQSPM0XPMOMC9uBGdapTcI6i8xthWESUoqhIRRj2Fu1KgZaWNl3TpMnz+yO9N+9NbtqUliy3z+ec95DcvLn3zZck/eZ5n/d5dar5X2IETbxGmEvSvYS4mlF6rmjexGlX0YCJEbbGVqscpUuIiXC7jvg8kYhQg0JPi4vR9vX0I6MdeArSd2jGgHENGs+wNur4WpcBw0cCUCblS/s9As5VkpI5AwTTJe4DqYhitVd/tzsMg06vlx9He3BFfK5krAwG5TSb3eUbN/8HR37VmFSHgZT+2It/6CXjJZWqEBFLUXREqFzuwXH9CaNHeuzrWt9KMlyi8QpVqaVlDHE3foqIkc2u+BdQry1mI0JEiAFnfy5ADYARVztLOUi6uBoj6XVFhBrQYrXJZss1+hcdFuI2bSshmSnXchLVTeoLlPxlvvh7xjOsDaOGZgwYwwQLUjV9EbGgq87gmJa0mc0qES4DqP0PtVRFIsygB/SOP+yk8tPV08bdgDO5XlwF2dDSKm+BIz0ulaOwtQr7O8pRJHezovdQosF5W8qXclzXm7pUUrRMQnquaGbUo2COfoP7ROLnC+7J0GrFVjvqI55fLqkhJNGLKxor6psVEa/zQvL94D6OhQ59jWEwmS2yKRT/x13NVL2QyB9mMMjGT1ygwDDdhSNgvoENGMP4meqSIsV9cepQyueSVkmGRveRk+3DQtxNl7yFkd4A0js+3m3t02KhOmfCvF4v5WG5R4f0ep20/SSuSEpEUUmpHOVSyx1TK7IqGbcwg142KeJ0mjxV1z72vYeOYUqquzEFHFvvqGFUSZYXzZhohJyGz73yfYvdpprTJRonRckJeUNtZfROzF+TplKvGhCL2maz3NdktshTk1abHWV1zqlmk9mKvkbH5tnSufYcPCqb0wmjR8oV8CXYeDE9DgHEOWA+gQ0YwwQQodHObbcs9XUAHEn14lSlTm9AW3MT9NGSAWs3VSFOw2GH+xeolZzJ9RI2IhSfr1UcG9TXuTVS7TnHJuLVze7TjFKel7gKUjJjUpV8AJDib8ppP+8LLKvljrnS2eo/KXoWoTId6RiP+/Sja5V7tXphUj/pGtJYrTaLHBG7sp/z/85ktijKUYg4piEd56psaJFzwjzB+zgyTHDDBoxh/Ex80hUAAFP1ecVxKf/LYrLIifVi+Qkp8tWmczwWBnXj5bpZtd1uh7l9+jDSGIb4aOUf+qjwMDkyZiHl+dSiXRFiPS2L+zZDrpEiAPhFpCPCc03KcLfxuuK656Q0BtEgKfpLqyJtNnmMYsK8vFrSoJeLpormynV/R/l2++rKGiLooZxGlaJxYskMyWi1WG04WlmrONcQYfpRjIKJqE3LsulifAJPQfoENmAMEyD0je8v35YiTwAQHhcPwFEPTDJlYiFWcc9BCTG3SzIc5vYokFjby263yyUmXLGLta8iwgEoE+6lyJfa6ke1wq1ilGnCVcmq1xRxnW6TEFcXisbKOXDndSSzZgwNQWWDe9K6WjHWljabHCkTS0NI0S2DTgciZT6buX3RpLnNJpuxhOgITEkdhe8On8DohDg0WazKadj2cQ7pE4GZE1Lx0Vf58mP3TOUNjBk/QWAD5iPYgDFMABI3cDAA5YpJQ3iEnBMmRcR0egP07eVVdYpkeM/TdpGCgTHodNAblQbMRtS+H5xdNll2eVNsZ9/o9sT8RpVVkKLZijI4K967JtJ3hOs0pZTTJU7hiWZMLrGhN8jjFq8nGSnAadxE0+ppOyMxl8xsbZPNl9jHKGw55EratVfJZlKMkI1M6Kfox6aLYXoXmjFgBQUF/h5CwMLaqBNsuuhDnX+81faAlKbbwg16SOUpDHqdvBG0vd1giCUnPP3QTbz8crRabbLxkuqBidGu+vZthsRjUt0vcUNucYpyVPKVHbxCB3sPHVM9Ll5HMk5iBEyx4rLdHHkyfZ4K0aoVZ61uMsv5a2EGA+LbzXGYwSBHsczWNsX0rNr0oetU6imX3LtgJ9g+T74k2LTRcwTMJ2jGgJ09e9bfQwhYWBt1gkEX15IVdVWVivtSzpe9uRHG9gR+0VyIBVSllY+iAdPr9W4lFupbWtE37heq4zELBUpjo5y5Y3J9McEESflgnVXdlxDrXLVYxUKo7mZTvI5olCTEKJnaCkdP5THEKJj4PLHURlw/ZeSqo3FKzPjltfhs/yHERSr3bqz3kJAfjATD58lfBJU2BOi8XyPDdAPNGDCG6Q2U1yrrWF3ery8ARyRLMhKiuVBLkXI1Yq61r6RIk96lOr7rMZGzde71teIiHQattlm9YKgrSiPY8VeTWDFfMmt9jGHy6kuFeRKmBi+0iHW0pHISOlkDMf/LUzFZxS4CiqicU0e1shozJ6S6FVPlpHqG6b1oxoANGjQIQJD90vARrI06wajL0LgYxX1pJaQ+0lk6wtroNEOhwnFX7IBbBXyJ8+fPQ6fXY0B/x8IAyXiZhek8MZlfKtQqbj0U1Z7DlepFwr0rYv0wNVpUtkYClKs0a5tb5dtS7tUvIoTtgYRonqLmV4i0dZFNNapVXV2NEIMeMbFx7WNV9pGudaTgJ7dVnh1V+g92gvHz5CuCSRsdAANPQfoEzRiwlJQUAMHxBvc1rI06gaLL+UrntGL/hAQA7lONsQMScKGqSpGzJSXfAy5lFISpSGk1olrkSkpUd60NZrZY8XNxMQx6PeLbp9vEWl/y84UkeWk6csQVSeov0gNHCn5yy41yRXw8VEjoF5FWbIrjFBPe1fZUFKNkrufriLrz52CzE4wxjuij2dqmMIv15lZPT9U0gfJ5CkSCSRsdsQHzFZoxYAwTjLjW/pIQ630BkiEjNAhGQjROBrtzZZ6hrX2aLTS8PSHfmSsmmraw9tISruhsFoTYbbCSM+crMXGook95+WlFtEkyjt4iTcVJkSxpSlEv1uBSKfSqVt4CAM7UO2tpSWZKNIii2RLHrbafpOtz+4Q7o2bmNps81StWvv+xokYuaZEQEyEn/m/7/iBXq2cYRhU2YAwTgIirHMlukw1UTLi4ElKaKrPLxsoGwNpYDwAw9hsAaTWktd3oqBVSFY+JrF27RrF5cFFJqXzbarOhX3Tkxbw0AMocLhFxpaNiAUG7MVOt+wXA0mYXbrtPPQLOSJq4KlKMfIm5XWrbHEnHQ9p1F03fwBij4lyNrepTpAwTDBi8XDjDdA82YAzjR8TiqyJW4ftPZ3au7rNFOAuwqm2xrWtpgiE8QnHuSmHaQ0y4T2jPS1EjPT29o2EDAOqEVYfecKTgJ8V9vUrdLEubzbkIQCUaFh8dIReDFacVxWiUWWW6FHAm1RvgjHA1WayKCJeIsiSF05BJ44qLMKKyoVnow/M2TPCjI8BgYwPmC9iAMUyQEyr4GGlbo7qqSrc8MgBora2++Ou4JJvbu/gr2Wa3K84hVtoXzZaUzyY+LkbDpCiYQa9X5IdJxkucPhSjUmLUTSw9IUbEQhWbbotlKMQaY9LqUeUm3ja7XTZ5XFSVYZjOYAPGMAFIV3OqXGkVN5fWOc2Ga10xbzhW+DMAR32w+BjntKNYE8yVU0UlivvVjS1osdrQYrXJRVpF0yUWa20SIltSlEss7OoJyYyJU4ligdQWa5tswgx6nVyDy5PpUlTitzmr7oeHGNDUalWYQhF/lpb415796C9EA7nMBdNVHKsgOZrrC9iAMYwGkaYXK8+eVWyoLSb9e5r+FDlS8JMyEiWYLtfEfJEml+2JEvo4jZu4nZG0jVGLcN4oIW9LStJvslhl8yRGvcRpwj5G9UUFYoTrF5HOrzwxuV+Knlltdjn/y3VrISnnq6HVCk8FMvxteKqaW2FSWfHJMN5DbMB8hA5AUE/25ufnY/x4DvczjBqu05DS6krSh8iJ+7ED3KNt4vNMQvFSafoNAK5ISlQ8RyynAQBVpkbVMYnRLk9V+52PO68nJuBLx20epiknXD5Avn3snHPLHzE/TDy3WEZCkZgvTD1WNzlrnInmbOaEVLdx+5K9h45hzfcVuOUKZ823q/r3VWijtjUSEzz48u/c/07V4fan9vXIuT5+rh//fe4AjoAxjIYRzdWFqipA7/jI6+xtHf7yEhcB9Al3TsvVmt1/GYtRtbIak3xbjGRFCYnu0h6SrohTklK5Cde8MyfO49K2Q8bQENkYHTtXK6+AjA4PlacyjSEGhdmqbXEsJLDZbIgXtlZSI1DLSUjmK1owtmfqmxUGjGG8RUeAPgAjYImJiSgpKVF97Omnn8bLL78MACguLkZSUpLi8dWrV2P58uWXeIRdhw0Yw/QCpDpiEnZ9xx99seK9WG/siiTHRtSHThTi0IlCAEDx+VpFdEqcbpSoEko2eMz9Eq4pTTeKdb9E46RWWBWA216LzueqF2j1hmCoXi+aLwBsvphuQNDb1VcS+5Py8nIMHDhQceyuu+7C66+/jo8//lhx/C9/+QvefPNN+X5jo3o03t9oxoCNGzcOAHDgwAE/jyTwYG3U6c266DvJPLjzzjsAeNbGdZugPkZnRComwmGCxClIMT9LnMYUEc2TNJ0ornT0tP2QmDg/IERYfNAnVr5dfN45DSmeRzR9YqJ/R6Yr0N43nzz8K9y9Z7/Hx+ffOMEn4wg0XQIJ1qb72O12VLqkOfz617/Grl273CJjDQ0Nbn0DEc0YsJiYmM479VJYG3V6ky5qeV4d0Zk2Q6KVCe9l9c78qIb2ab1Bsc5z1DQ2Q40+QjV+MXG/s9wvT/tE/tQomLTGasV5pMiXctNvJ95GugLxfeMrk9URgahLoBBU2hACMgLmSlJSEqZPn4577rnH7bElS5Zg+fLlKC8vx6ZNm/DSSy/Bag28xSmaMWAMw/iOmlblF7RotqTpxqZWq5wHJkapjMJ0mbiqUlwJKRqzFqvTvInGS0yQ90R8tLNwrevKTMD/qxYZJtDQgaCjntnJIT4+Hvn5+fL99evXIzs7u0fOnZGRgerqanz66aeK41lZWTh48CBqamowYcIErF69GsOGDUNGRkaPXLcnYQPGMEy3URgpYYrvQrMjGtZXrOPVDHkbI71e59zzUcj3avFQY0wsfCpGxsTjFpv6FGfqVcmdvg6GYXqO6urqTldBrlq1CitXruywT3p6Ovbs2SPfNxgMeOCBB/Dee++hrU35XbFmzRr59pEjR1BfX4+PPvoIzzzzDC5cuHARr+LSwQaMYRivELc0ApQRJaO5Xr6dPCBevn30jKPyfmOrFaMHO49LxgxwJtob9Dq5LEVYiEHIA3NGukRzJZouT4y4IqnTPgzDiBB0PpyCXLt2LTZs2NBhn7KyMsX9OXPmYPDgwXjnnXc6Pf/3338PABg+fDj27/ecK+kP2IAxDOMRsaK9p/IRAHCkwfmFPa6v+srFijr1lUjiBtwWlX0cI0JD1Fc9Cv6Lo1sM00MQQWf33WbyNTU1qKmp6dJzMjIykJeXh1OnTnXaNzU1FQBw1uUHZCDABoxhGI8YQz1/RYglIkb0j5NvVzc7I2OXxTlzw0SjJU5Z1ps9GztX0q69yuu+DMNoj6FDh2LmzJm4//773R6bNGkSJk2ahN27d8NkMmH8+PFYs2YNPv30U5SXl/thtB2jGQN25swZfw8hYGFt1GFdnLhOL/5UVHTR5xKnDMWombiPpJiILxqwa1KGX/R1fQW/b9RhXTwTbNroKHBXQf7+97+HyWTCJ5984vZYa2sr5s6di+effx7h4eEoLS1FdnY2/v73v/thpJ3DWxExDONmwKS9JMvLT3t8jqJIqrC/Y0fbFTEM03V8+XfuyMnzuOePW3rkXP986Rr++9wBmomAMQxz8UiGy5WhQy/z8UgYhmF6B5oxYFKhu4aGBj+PJPBgbdRhXTzD2niGtVGHdfFMcGlDQA/VAWM6Rr0kdBAybtw4ebsHRglrow7r4hnWxjOsjTqsi2eCShsigGw905gO0YwBYxiGYRiGCRY0MwXJMEzgopbMz/llDBOg+LAOWG+GDRjDMApKS8tx8OCPAID338+FXigrIZmm2nPKZfVxAwcDUBZuBZx7QNrthEaVvRgZhgk0OAfMV7ABYxhGQWyUUS7AGhtllLcEAhzmDADqW9XzO8Stf85XVioeizSGocqkXg2fYRimt8EGjGEYBTY7wU4k3xar4YtbBakZM8BhtDzRX6+ypRDDMAEEcQK9j2ADxjCMgnNb3kOjyTFdeK7yOM6PvVV+7Ir4WNXniNOLiYlDVftU/XSy5wbJMMylgYhzwHyEZgzYgQMH/D2EgIW1UYd1ceJaCf+XTU0AgKioKFytUqS1tLRczu8ClJExU/V5Rd++8f0BAAOGj+yx8foTft+ow7p4hrVh1NCMAQuOAnf+gbVRh3Vx8vwXxxT3l9+QAkC5abaIpyiXK4dOFOLQiUL5fupVyRc5wsCB3zfqsC6eCTZtiJPwfYJmDBjDMBfPW/fNkG+L+VwXw5nDwq99awMGXxskBSgZhgHngPkOzRiw5GTHL+vCwsJOevY+WBt1WBd1EhOHsjYdwNqow7p4hrVh1NCMARs82FGHiN/g7rA26rAunumONlqPePH7Rh3WxTNBpQ0RiJPwfYJmDBjDMAzDMD0AT0H6BN4LkmEYhmEYxsdwBIxhGIZhApTrrrvOx1ckXgXpI9iAMQzDMEyAkpWV5dPrEQhk5ylIX8BTkAzDMAwToIwePdrfQ2AuEZqJgAVboTtfwtqow7p4hrXxDGujDuvime5oEx4e3oMj8QIigKcgfYJmDBhv9eAZ1kYd1sUzrI1nWBt1WBfPdEeblpaWHhyJdxCvgvQJmjFgDMMwDKM1jh8/DqPR6MMrEhswH8E5YAzDMAwToOzcudPfQ2AuEZoxYOnp6UhPT/f3MAIS1kYd1sUzrI1nWBt1WBfPdEeb3Nzcnh1Mpzgq4fdEYzqGpyAZhmEYJkA5c+aMby9InAPmKzQTAWMYhmEYrTFunLb3Vu3NcASMYTTChYpyxf36U4fl20nps309HIZheoCBAwf6+IrEe0H6iE4jYMuWLcP+/fthMplQVVWFzZs3Y9SoUYo+UVFRyMrKQnl5OZqbm3Hy5Ek8/vjjij7Dhw9HXl4eKioqsGbNGuh0Ovmx3bt3g4hw7733Kp6zcOFCri3DMB44VVSiaAzDaI+4uDifXo84B8xndBoBS09PxxtvvIH8/HzodDpkZmZi165duPrqq1FbWwsAePXVVzFjxgwsWLAAxcXFmDp1KrKzs1FdXY0NGzYAAF5//XVs2rQJX3/9NVavXo158+bhX//6l3ydlpYWvPDCC9i0aRMsFsslerkMox1GXJHk7yEwDHOJueGGG/w9BOYS0WkE7JZbbsF7772HY8eO4ejRo1iwYAH69++PyZMny32uv/565ObmIi8vD6WlpcjNzcW+ffswceJEuU9cXBwOHDiAo0ePoqSkBLGxsYrrfPjhhzAajVi0aFHPvTqGYRiGCWKmT5/u82sS2XqkMR3T5ST8mJgYGAwGOfoFAHv37sWcOXNw2WWXAQDS0tKQmpqKHTt2yH1WrFiBbdu2wWw2Y9SoUXj//fcV521sbERmZiZWrFiBvn37dvmFFBQUoKCgoMvP6w2wNuqwLp5hbTzD2qjDunjmYrXp168fhg4deglG1AFEbMB8RJeT8F977TUcPHgQ3333nXzssccew1tvvYXy8nJYrVYAwOLFi7F161a5z+eff46EhATExcWhqqpK9dzr16/H448/jmXLlmH58uVejScmJkZRXyUlJUW+XVBQgLNnzwIABg0apHjMlby8PPn2uHHjEBMTo9rvzJkzKCwslK/d0QqVAwcOyDlsycnJGDx4sGq/hoYGxVYVHdWLuZjXdPbsWYwbN85j32B8TUDP/T81NjZq7jX11P8Tf56c8OeJP0+Abz9PKSkpyMvLQ3R0tMexMcFLlwzYK6+8gilTpmDKlCmw2+3y8cWLF2Py5MmYM2cOSktLMXXqVLz88ssoKSnBZ599JvezWq0ezRcA2Gw2rFixAu+//z7WrVt3ES+HYRiGYbTBsGHD/HBVAtk5euULdADIm46vvvoq5s2bh2nTpilCqUajESaTCb/97W+xefNm+Xh2djaSkpJw8803d3ru3bt34+jRo1i8eDEAYN++fTh69Ci+/vprrFu3zuMvGADIz8/H+PHjMWjQIACQf1EwTlgbdVgXz7A2nmFt1GFdPHOx2pw8eRIpKSn44YcfMH78+EsxNDf+d/gUZt+5pEfO9X8frvTZuIMRryJga9euxbx585Cenu42jx0aGoqwsDDYbErHbLPZoNdfXJ3XpUuX4osvvsCFCxe8fo4UvuUPvzusjTqsi2dYG8+wNuqwLp7pqjaRkZHIzMxESkqKnNbDaI9ODdi6deuwYMEC3HnnnaitrUVCQgIAxzx/U1MTGhoakJeXh9WrV6OxsRGlpaW48cYbcf/992Pp0qUXNaivvvoKO3bswKOPPupm7BiGYRhGqxiNRjQ1Ncn3N23ahOTkZJ9dn0CcQO8jOg1RLVq0CH369MGXX36Jc+fOyW3JEmeIct68ecjPz8fGjRtx/PhxLFu2DM8991y38riWLVuGsLCwi34+wzAMwwQbW7ZsUdx/5ZVXfDsAAshu65HGdEynETCxYr0nKisr8eCDD170IKZNm+Z27NixYwgJ4Z2SGIZhmN7BqFGjMGPGDPn+8ePH8eOPP/pxRIFFRkYG5s+fj+uuuw6xsbFISkpCaWmpok9sbCyysrJw++23AwA2b96MxYsXw2QyyX2GDh2K119/HTfddBNaWlrwwQcfYMmSJT6f7uXNuBmGYRgmALj//vsV9//2t7/5YRSBWwcsMjISO3fuxJ///GePfT744AOMHTsWs2bNwi233IKxY8ciNzdXflyv12Pr1q2IiYnBDTfcgPnz5+Puu+/2faQRvBk3wzAMwwQEEyZMUNz/6KOP/DCKwC1D8dprrwGAx5ptI0eOxKxZszB58mS5VunDDz+MvXv3Ijk5GYWFhfjVr36FUaNGITExEadPnwbgWPj3zjvvYMWKFT7df5ojYAzDMAwTANTV1cm3H3roIZjNZv8NJghJS0tDQ0MDvv32W/nYN998g8bGRlx//fVynxMnTsjmCwA+++wzGI3GDovxXgo0EQHLz8/39xAYhmEYptv88MMPABwG7KGHHgIAVFdX++z6Z88UY8v/re6RcxmNRsXf5/Xr1yM7O7tHzq3GwIEDcf78ebfjVVVVGDhwoNynsrJS8Xh1dTXa2trkPr4i6A0YF3ljGIZhmJ5h1qxZPr3eqlWrsHLlyg77pKenY8+ePV6dj8i9trxOp1McV+vT0fFLRdAbMIZhGIZhgpO1a9diw4YNHfYpKyvz6lznzp3DgAED3I73799fjnqdO3cOkydPVjweHx+PkJAQt8iYLyBu3Lhx48aNG7dgaOPGjSMiosTERMXxkSNHEhFRWlqafCwtLY2IiJKTkwkA3XLLLWSz2WjIkCFyn/nz51NLSwvFxMT4+rX4X0xu3Lhx48aNG7eOWkJCAo0ZM4bmz59PRESzZs2iMWPGUFxcnNxn27ZtdPjwYZo4cSJNmjSJDh8+TJs3b5Yf1+v1dPjwYfriiy8oNTWVpk+fTqdPn6asrCx/vCb/i8qNGzdu3Lhx49ZRe/7550mNhQsXyn3i4uIoNzeXTCYTmUwmys3Npb59+yrOM3ToUNqyZQs1NTVRdXU1ZWVlUVhYmM9fj679BsMwDMMwDOMjAqIOmF6vR2ZmJoqKitDS0oKioiKsWrUKBoNB7jNgwADk5OSgoqICTU1N2L59O4YPH644z/Dhw5GXl4eKigqsWbNG3kbpr3/9KwoLCxV9hwwZAiLC5s2bFcdnzJgBIsKwYcMu0av1Hm90iYqKQlZWFsrLy9Hc3IyTJ0/i8ccfV5xHa7oA3mlDRKpN3KO0t2oDACNGjMAnn3yC2tpaNDU14cCBAxg5cqT8uNa08UaXnJwct/eLVNBRQmu6AN6/ZyTefvttEBGeeuopxfHeqk1mZiZOnDiBxsZGXLhwAbt27UJaWpriPFrUhuk+fg8rLl++nGpqaui2226jxMREmjNnDl24cIFWrlwp9/n2229p7969NH78eEpOTqa33nqLSkpKKDIyUu7z2Wef0aJFi+jaa6+lbdu20fz58wkA3XzzzUREiqS7++67j0pKSqiuro70er18/IUXXqCSkhK/a+KtLm+//Tb9/PPPlJ6eTomJibRgwQIym8103333aVYXb7VJSEhQtNmzZxMR0dSpU3u9NklJSVRVVUUvv/wyXXfddTRs2DCaNWsWXXbZZZrVxhtdcnJyaOfOnYr3jZhfokVdvNVGar/5zW/oxx9/pNOnT9NTTz3F2gB077330k033UTDhg2jq6++mrKzs8lkMtGAAQM0rQ237rWAiIBdf/312LJlC/773/+itLQUW7ZswebNmzFx4kQAjl/qaWlp+NOf/oT8/HwUFhbikUceQUREBObPny+fJy4uDgcOHMDRo0dRUlKC2NhYAMDevXthsVgUm35PmzYN//znP9HQ0ICxY8cqjn/55Ze+eeGd0JkuUp/c3Fzk5eWhtLQUubm52Ldvn6KP1nQBvNOmsrJS0e644w4UFBTgq6++kvv0Vm1efPFF7Ny5E0uWLMHBgwdRXFyM7du3K6pDa00bb3QBgNbWVsX7pra2VvG41nQBvNfm8ssvx2uvvYbf/e53qhsX91ZtNm7ciC+//BLFxcU4fvw4nnzySfTp0wepqalyHy1qw3Qfv7vAZ555hkpLSyklJYUA0CFyqVUAAAZaSURBVFVXXUVlZWX0yCOPEAAaPXq0Yhmp1MrKyignJ0e+f/PNN9OFCxfIYrHQnj17FNGxr7/+mt599135flFREd100020YcMGevrppwkARUVFkcVioQULFvhdE290AUBvvvkmHThwQI5cpKWlUV1dHc2ePVuzunirjdiioqKovr7e7Rd7b9RGp9NRfX09Pfvss7R9+3aqqqqi/fv30z333KNpbbx5z+Tk5FBtbS1VVlZSQUEBrV+/nvr3769pXbzVxmAw0DfffEN//OMfCQAVFxfz50mlf2hoKD311FNUV1eniIBpURtu3W5+HwABjtCqzWYji8VCRESrVq2SHwsJCaHi4mL6+OOPKS4ujkJDQ2np0qVERLRjxw7FeUJDQxVveqllZmZSUVERAaDExEQym81kNBopIyODtm3bRgBo5syZbqFgf7eOdJFe77vvvktERBaLhSwWCz388MNu59GaLt5oI7aMjAxqbW2l+Pj4Xq9NQkICERE1NjbSE088QWPGjKEnnniCrFarwrhrUZvO3jNz586lOXPm0OjRo+m2226jQ4cO0ZEjR9xWSGlNF2+0eeGFFxTL+dUMWG/VBgDNnj2bGhoayGaz0enTp2n8+PG9Qhtu3Wp+HwDNnTuXysrKaO7cuTR69Gi67777qKamhh588EG5z9ixY+ngwYNERGS1Wmn79u20detW2rp1q1fXmDZtGhE5Crc98MAD9NVXXxEAGjFiBNXX15PBYKDVq1dTQUGB3/Xoii5PPvkknTx5km677Ta65ppraNGiRdTQ0EAzZ87UrC7eaiO2/fv304cfftila2hVm0GDBhER0caNGxXP27hxo/xlr0VtuvqekbSyWCx01113aVYXb7SZOnUqnT59WvEDxpMB623aSC0yMpKuvPJKmjhxIr3zzjtUXFxMAwcO1LQ23Lrd/D4AKisro8cee0xxbMWKFXTq1Cm3vn369JG/BPbt20fr1q3z6hrh4eHU0tJCCxcupPfee48yMzPlxyoqKmjixIm0b98+euutt/yuh7e6GI1Gam1tpdtvv13RJzs7mz7//HPN6tLV98yYMWOIiGjGjBlduoZWtQkNDSWLxUIrVqxQ9Fm5ciUdPXpUs9p05T0jtqKiIlq6dKlmdfFGm+eff55sNhtZrVa5ERG1tbVReXl5r9bGUyssLFRdxKAlbbh1rwVEEn5kZCRsNpvimM1mg17vPrz6+npUV1dj+PDh+OUvf4lPP/3Uq2u0trbiu+++w7Rp0zBt2jTk5eXJj+3Zswd33HEHxo0bF1AJjp3pEhoairCwMK+1UyMYdQG69p556KGHUFxcjF27dnXpGlrVxmq1Ij8/HykpKYo+ycnJKC0t9eoawahNV94zEv369cOQIUNw9uxZr64RjLoAnWvzxhtv4Nprr0VqaqrcpHIK06dP9+oaWtXGE3q9HuHh4V5dI1i1YbqP311gTk4OlZeX06233kqJiYl05513ykvkpT533303paen07Bhw+j222+Xc8K6cp3nnnuOTCaTPL8uHX/44YfJZDIREanOzweyLrt376YjR47QjTfeSElJSbRw4UJqbm6mRx99VLO6eKsNAIqIiKC6ujp69tlnL+o6WtXmjjvuoNbWVsrIyKArr7yS/vCHP5DFYqFbb71Vs9p0pktUVBS99NJLNGnSJEpMTKQbb7yRvv32WyovL6fo6GjN6uLte8a1dXUKUqvaxMTE0KpVq2jChAk0dOhQGjt2LL377rtkNpvpmmuu0bQ23Lrd/D4Aio6OpjVr1lBJSQk1NzfTzz//TC+++CKFh4fLfRYvXkxlZWXU2tpKJSUllJmZSaGhoV26zpQpU4iI5Pl1qaWkpBAR0ZEjR/yuRVd1SUhIoH/84x90+vRpam5uphMnTnT5SzHYdPFWGwD0wAMPkNVqpUGDBl3UdbSszcKFC6mgoICam5vpf//7H82bN0/T2nSmi9FopB07dlBlZaX8PZOTk6OojaZFXbrynhHbxRgwLWoTERFB//73v6miooLMZjNVVFTQf/7zH5owYYLmteHWvcZbETEMwzAMw/iYgMgBYxiGYRiG6U2wAWMYhmEYhvExbMAYhmEYhmF8DBswhmEYhmEYH8MGjGEYhmEYxsewAWMYhmEYhvExbMAYhmEYhmF8DBswhmEYhmEYH/P/eF8rOOowkm0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup our figure/geoaxis\n",
    "fig = plt.figure(figsize=(10, 7))\n",
    "ax = plt.subplot(111, projection=ccrs.PlateCarree())\n",
    "\n",
    "# Add state borders and the coastline\n",
    "ax.add_feature(cfeature.STATES, edgecolor=\"white\", linewidth=2)\n",
    "ax.add_feature(cfeature.COASTLINE, edgecolor=\"white\")\n",
    "\n",
    "# Plot our velocity field using pcolormesh with edgecolors argument\n",
    "mesh = ax.pcolormesh(\n",
    "    lons, lats, velocity, vmin=-100, vmax=100, edgecolors=\"face\", cmap=\"pyart_balance\"\n",
    ")\n",
    "\n",
    "# Configure our colorbar\n",
    "cbar = plt.colorbar(mesh)\n",
    "cbar.ax.tick_params(labelsize=14)\n",
    "cbar.set_label(\"Radial Velocity (m/s)\", fontsize=16)\n",
    "\n",
    "# Add gridlines\n",
    "gl = ax.gridlines(\n",
    "    crs=ccrs.PlateCarree(),\n",
    "    draw_labels=True,\n",
    "    linewidth=2,\n",
    "    color=\"gray\",\n",
    "    alpha=0.5,\n",
    "    linestyle=\"--\",\n",
    ")\n",
    "\n",
    "# Make sure labels are only plotted on the left and bottom\n",
    "gl.xlabels_top = False\n",
    "gl.ylabels_right = False\n",
    "\n",
    "# Increase the fontsize of our gridline labels\n",
    "gl.xlabel_style = {\"fontsize\": 14}\n",
    "gl.ylabel_style = {\"fontsize\": 14}\n",
    "\n",
    "# Add a title, using time information\n",
    "plt.title(\n",
    "    f\"KEVX (Elgin Air Force Base) \\n 0.5 Degree Radial Velocity \\n {radar.time['units'][14:]}\",\n",
    "    fontsize=16,\n",
    ")\n",
    "\n",
    "plt.savefig(\"kevz_velocity_2018_10_10_1458.png\", dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f360ae53-44c2-4ed1-85ef-15a38759299a",
   "metadata": {},
   "source": [
    "## Fixing the Issue in PyART\n",
    "\n",
    "Currently, within PyART, there is not a method of specificying the argument in `plot_ppi_map`, which is why we needed to add that custom section at the end using `plt.pcolormesh` directly.\n",
    "\n",
    "We are submitting a pull request (PR) to change the default behavior here (`edgecolors='face'`).\n",
    "\n",
    "**More importantly, this highlights a current limitation of our plotting API where we cannot specify matplotlib.pcolormesh arguments through `plot_ppi_map`. We will make sure this PR adds the ability to specify plotting arguements to pass to `plt.pcolormesh`**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14df9191-e1c7-4403-874c-381a3129f063",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "Within this post, we explored an odd pattern that shows up when setting `alpha` values when plotting radar data using `plot_ppi_map`(`pcolormesh`). We needed to change the `edgecolors` argument in `plt.pcolormesh` to `edgecolors='faces'`.\n",
    "\n",
    "This also highlighted a need in the `plot_ppi_map` method in PyART to allow users to pass plotting arguments to `pcolormesh`.\n",
    "\n",
    "We are appreciative of David for raising this question on Twitter, helping us to work together to find a solution and improve our plotting functionality in PyART!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "092bef44-d7b7-48d6-9f26-e851691bd071",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "author": "Max Grover",
  "date": "2022-04-12",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8 (main, Oct 13 2022, 09:48:40) [Clang 14.0.0 (clang-1400.0.29.102)]"
  },
  "tags": "NEXRAD,matplotlib,visualization,debug",
  "title": "Fixing Weird Patterns When Plotting NEXRAD Level 3 Data",
  "vscode": {
   "interpreter": {
    "hash": "b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}