{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# BC_01 Bias Corrected Estimation of Paleointensity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#BC_01-Bias-Corrected-Estimation-of-Paleointensity\" data-toc-modified-id=\"BC_01-Bias-Corrected-Estimation-of-Paleointensity-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>BC_01 Bias Corrected Estimation of Paleointensity</a></span><ul class=\"toc-item\"><li><span><a href=\"#Author(s)\" data-toc-modified-id=\"Author(s)-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>Author(s)</a></span></li><li><span><a href=\"#Purpose\" data-toc-modified-id=\"Purpose-1.2\"><span class=\"toc-item-num\">1.2&nbsp;&nbsp;</span>Purpose</a></span></li><li><span><a href=\"#Technical-contributions\" data-toc-modified-id=\"Technical-contributions-1.3\"><span class=\"toc-item-num\">1.3&nbsp;&nbsp;</span>Technical contributions</a></span></li><li><span><a href=\"#Methodology\" data-toc-modified-id=\"Methodology-1.4\"><span class=\"toc-item-num\">1.4&nbsp;&nbsp;</span>Methodology</a></span></li><li><span><a href=\"#Results\" data-toc-modified-id=\"Results-1.5\"><span class=\"toc-item-num\">1.5&nbsp;&nbsp;</span>Results</a></span></li><li><span><a href=\"#Funding\" data-toc-modified-id=\"Funding-1.6\"><span class=\"toc-item-num\">1.6&nbsp;&nbsp;</span>Funding</a></span></li><li><span><a href=\"#Keywords\" data-toc-modified-id=\"Keywords-1.7\"><span class=\"toc-item-num\">1.7&nbsp;&nbsp;</span>Keywords</a></span></li><li><span><a href=\"#Citation\" data-toc-modified-id=\"Citation-1.8\"><span class=\"toc-item-num\">1.8&nbsp;&nbsp;</span>Citation</a></span></li><li><span><a href=\"#Acknowledgements\" data-toc-modified-id=\"Acknowledgements-1.9\"><span class=\"toc-item-num\">1.9&nbsp;&nbsp;</span>Acknowledgements</a></span></li></ul></li><li><span><a href=\"#Setup\" data-toc-modified-id=\"Setup-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Setup</a></span><ul class=\"toc-item\"><li><span><a href=\"#Library-import\" data-toc-modified-id=\"Library-import-2.1\"><span class=\"toc-item-num\">2.1&nbsp;&nbsp;</span>Library import</a></span></li><li><span><a href=\"#Local-library-import\" data-toc-modified-id=\"Local-library-import-2.2\"><span class=\"toc-item-num\">2.2&nbsp;&nbsp;</span>Local library import</a></span></li></ul></li><li><span><a href=\"#Parameter-definitions\" data-toc-modified-id=\"Parameter-definitions-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Parameter definitions</a></span></li><li><span><a href=\"#Data-import\" data-toc-modified-id=\"Data-import-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Data import</a></span></li><li><span><a href=\"#Data-processing-and-analysis\" data-toc-modified-id=\"Data-processing-and-analysis-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Data processing and analysis</a></span><ul class=\"toc-item\"><li><ul class=\"toc-item\"><li><span><a href=\"#Looking-at-site-and-specimen-data\" data-toc-modified-id=\"Looking-at-site-and-specimen-data-5.0.1\"><span class=\"toc-item-num\">5.0.1&nbsp;&nbsp;</span>Looking at site and specimen data</a></span></li><li><span><a href=\"#The-BiCEP-method--accounting-for-bias\" data-toc-modified-id=\"The-BiCEP-method--accounting-for-bias-5.0.2\"><span class=\"toc-item-num\">5.0.2&nbsp;&nbsp;</span>The BiCEP method- accounting for bias</a></span></li><li><span><a href=\"#Data-manipulation-and-choosing-interpretations.\" data-toc-modified-id=\"Data-manipulation-and-choosing-interpretations.-5.0.3\"><span class=\"toc-item-num\">5.0.3&nbsp;&nbsp;</span>Data manipulation and choosing interpretations.</a></span></li><li><span><a href=\"#Saving-data-to-MagIC-format.\" data-toc-modified-id=\"Saving-data-to-MagIC-format.-5.0.4\"><span class=\"toc-item-num\">5.0.4&nbsp;&nbsp;</span>Saving data to MagIC format.</a></span></li><li><span><a href=\"#GUI\" data-toc-modified-id=\"GUI-5.0.5\"><span class=\"toc-item-num\">5.0.5&nbsp;&nbsp;</span>GUI</a></span></li><li><span><a href=\"#GUI-Documentation\" data-toc-modified-id=\"GUI-Documentation-5.0.6\"><span class=\"toc-item-num\">5.0.6&nbsp;&nbsp;</span>GUI Documentation</a></span></li><li><span><a href=\"#Data-References-and-Expected-Field-Values\" data-toc-modified-id=\"Data-References-and-Expected-Field-Values-5.0.7\"><span class=\"toc-item-num\">5.0.7&nbsp;&nbsp;</span>Data References and Expected Field Values</a></span></li></ul></li></ul></li><li><span><a href=\"#References\" data-toc-modified-id=\"References-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>References</a></span></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Author(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:45:23.308681Z",
     "start_time": "2021-06-10T18:45:23.295293Z"
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   "outputs": [],
   "source": [
    "Author1={\"name\":\"Brendan Cych\",\"affiliation\":\"Scripps Institution of Oceanography, UCSD\",\"email\":\"bcych@ucsd.edu\",\"orcid\":\"0000-0003-2387-3544\"}\n",
    "Author2={\"name\":\"Matthias Morzfeld\",\"affiliation\":\"Scripps Institution of Oceanography, UCSD\",\"email\":\"matti@ucsd.edu\",\"orcid\":\"0000-0003-2257-8930\"}\n",
    "Author3={\"name\":\"Lisa Tauxe\",\"affiliation\":\"Scripps Institution of Oceanography, UCSD\",\"email\":\"ltauxe@ucsd.edu\",\"orcid\":\"0000-0002-4837-8200\"}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Purpose\n",
    "Paleointensities are estimates of the Earth's ancient magnetic field strength, obtained from materials including rocks and pottery sherds which cooled in that field. Paleointensity can be obtained by comparing the magnetization lost on cooling a specimen in zero field, to the magnetization gained on cooling in a known lab field. The theoretical relationship between these two magnetizations should be proportional at all temperatures for an ideal specimen, with the ratio of magnetization lost/magnetization gained being the same as the ratio of ancient field/lab field.\n",
    "\n",
    "In natural samples, the assumptions of the paleointensity experiment are frequently violated, leading to non linear behaviour on the Arai plot (Nagata et al, 1963). Traditionally, paleomagnetists use \"selection criteria\" to exclude specimens from the analysis if they believe they violate the experimental assumptions. These criteria are generally based on an empirical description of non-ideal behaviour, with a specimen being excluded if it fails to meet a threshold value. There is little agreement between labs on which set of criteria to use.\n",
    "\n",
    "Bias Corrected Estimation of Paleointensity (BiCEP) is a new method for analyzing Thellier-type paleointensity data. Instead of excluding specimens from the analysis, BiCEP assumes that the paleointensity estimate for each specimen has some amount of bias based on the values of the curvature criterion of Paterson (2011). In this way we can estimate the unbiased value of the paleointensity. \n",
    "\n",
    "BiCEP differs from other methods of paleointensity analysis, because it reduces the number of experiments that need to be excluded from the analysis. The credible intervals produced by BiCEP are more reliable than the standard deviation traditional selection criteria, with the precision on the estimate starting low, and increasing as more specimens are measured. It also allows for weighting of results from different specimens, as better results contribute more to the estimate than worse results. BiCEP can be used to analyze new paleointensity data, and to reanalyze old paleointensity data using a consistent methodology which significantly reduces the number of subjective choices needed to make a paleointensity estimate.\n",
    "\n",
    "\n",
    "## Technical contributions\n",
    "This notebook\n",
    "- Uses the BiCEP_functions library to read in, plot and analyze paleointensity data.\n",
    "\n",
    "- Uses a Markov Chain Monte Carlo (MCMC) sampler using the `pystan` package (http://mc-stan.org) to determine the relationship between the curvature ($\\vec{k}$) parameter (Paterson, 2011) for specimens which were magnetized in the same field.\n",
    "\n",
    "- Allows you to save these data into the MagIC database format (https://www2.earthref.org/MagIC)\n",
    "\n",
    "- Demonstrates a GUI which allows you to perform the previous steps more easily. \n",
    "\n",
    "\n",
    "## Methodology\n",
    "- Thellier Type Paleointensity data must be imported using the MagIC format. A measurements.txt, specimens.txt, samples.txt and sites.txt are required. These are then saved as an internal csv format for use with BiCEP.\n",
    "\n",
    "- Paleointensity data can be plotted and some limited analysis using different selection criteria can be performed.\n",
    "\n",
    "- The BiCEP method can be fit to a collection of specimens, either sample or site, and the results can be plotted. Reanalysis is possible. For more information on the paleointensity method- see the citation for more detailed information on how the method operates.\n",
    "\n",
    "- The results of the BiCEP method can be saved to MagIC format. \n",
    "\n",
    "## Results\n",
    "The BiCEP method yields a similar number of accurate paleointensity estimates to the looser sets of traditional selection criteria analyzed, but with higher precision and accuracy more akin to tighter sets of criteria which yield fewer estimates. See Figure 7 in Cych et al (in press) for more information.\n",
    "\n",
    "## Funding"
   ]
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     "start_time": "2021-06-10T18:45:23.715866Z"
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   "source": [
    "Award1 = {\"agency\": \"National Science Foundation\", \"award_code\": \"EAR1547263\", \"award_URL\": \"award_URL\"}\n",
    "Award2 = {\"agency\": \"National Science Foundation\", \"award_code\": \"EAR1827263\", \"award_URL\": \"award_URL\"}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Keywords\n",
    "Include up to 5 keywords, using the template below.\n",
    "\n",
    "keywords=[\"Data Analysis\", \"Paleomagnetism\", \"Paleointensity\", \"Markov Chain Monte Carlo\", \"Bayesian Statistics\"]\n",
    "\n",
    "## Citation\n",
    "Cych et al (In Press) doi: 10.1002/essoar.10506403.1 https://www.essoar.org/doi/10.1002/essoar.10506403.1\n",
    "\n",
    "## Acknowledgements \n",
    "We are deeply grateful to Lennart de Groot and Greig Paterson for their very helpful reviews and for the advice and guidance given by Andrew Roberts, David Heslop and Joseph Wilson."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup\n",
    "\n",
    "## Library import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:45:25.948008Z",
     "start_time": "2021-06-10T18:45:25.281746Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Local library import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:45:28.361325Z",
     "start_time": "2021-06-10T18:45:26.352622Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('modules_and_scripts/') \n",
    "#The BiCEP_functions library imports all other needed libraries\n",
    "import BiCEP_functions as BiCEP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parameter definitions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:45:28.962554Z",
     "start_time": "2021-06-10T18:45:28.957121Z"
    }
   },
   "outputs": [],
   "source": [
    "B_exp=36.4 #The expected field for the site we will be using BiCEP with today"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Data import\n",
    "\n",
    "We can produce a data file that BiCEP can read internally from the magic format using the `generate_arai_plot_table` function in BiCEP_GUI. We will specify an output name of `example_data.csv`. For your convenience, we have included a set of MagIC formatted data to convert to the BiCEP format. This may take a few minutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:45:41.895385Z",
     "start_time": "2021-06-10T18:45:29.995245Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-I- Using online data model\n",
      "-I- Getting method codes from earthref.org\n",
      "-I- Importing controlled vocabularies from https://earthref.org\n",
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      "hw226b1 in site hw226 Not included, demagnetization not completed\n",
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      "Working on: rs25b\n",
      "Working on: rs25e\n",
      "Working on: rs26c\n",
      "Working on: rs27a\n",
      "Working on: rs27d\n",
      "Working on: rs25a\n",
      "Working on: rs25c\n",
      "Working on: rs25d\n",
      "Working on: rs26a\n",
      "Working on: rs26b\n",
      "Working on: rs26d\n",
      "Working on: rs26e\n",
      "Working on: rs27b\n",
      "Working on: rs27c\n",
      "Working on: rs27e\n",
      "Working on: rs27f\n",
      "Working on: rs27g\n",
      "Working on: rs27h\n",
      "Working on: rs27i\n",
      "Working on: rs27j\n",
      "Working on: remag-rs61a\n",
      "Working on: remag-rs61c\n",
      "Working on: remag-rs61e\n",
      "Working on: remag-rs61f\n",
      "Working on: remag-rs61h\n",
      "Working on: remag-rs61i\n",
      "Working on: remag-rs62a\n",
      "Working on: remag-rs62b\n",
      "Working on: remag-rs62e\n",
      "Working on: remag-rs62f\n",
      "Working on: remag-rs62g\n",
      "Working on: remag-rs62h\n",
      "Working on: remag-rs63a\n",
      "Working on: remag-rs63f\n",
      "Working on: remag-rs63g\n",
      "Working on: remag-rs63i\n",
      "Working on: remag-rs63j\n",
      "Working on: remag-rs78a\n",
      "Working on: remag-rs78e\n",
      "Working on: remag-rs78f\n",
      "Working on: remag-rs78g\n",
      "remag-rs78g in site remag-rs78 Not included, demagnetization not completed\n",
      "Working on: remag-rs78i\n",
      "Working on: kf011\n",
      "Working on: kf031\n",
      "Working on: kf072\n",
      "Working on: A-1-3\n",
      "Working on: A-2-3\n",
      "Working on: A-3-3\n",
      "Working on: A-4-3\n",
      "Working on: A-4-4L\n",
      "Working on: A-5-3\n",
      "Working on: B-1-3\n",
      "Working on: B-10-1\n",
      "Working on: B-2-1\n",
      "Working on: B-3-3\n",
      "Working on: B-4-3\n",
      "Working on: B-5-1\n",
      "Working on: B-6-3\n",
      "Working on: B-7-3\n",
      "Working on: B-8-1\n",
      "Working on: B-9-3\n",
      "Working on: B-9-4L\n",
      "Working on: C-1-3\n",
      "Working on: C-2-3\n",
      "Working on: C-3-3\n",
      "Working on: C-4-1\n",
      "Working on: C-4-4L\n",
      "Working on: SW01-01A-2\n",
      "Working on: SW01-02A-2\n",
      "Working on: SW01-03A-2\n",
      "Working on: SW01-04A-2\n",
      "Working on: SW01-05A-2\n",
      "Working on: SW01-06A-2\n",
      "Working on: SW01-07A-2\n",
      "Working on: SW01-08A-2\n",
      "Working on: SW01-09A-2\n",
      "Working on: SW01-10A-2\n",
      "Working on: SW01-11A-2\n",
      "Working on: SW01-12A-2\n",
      "Working on: SW01-13A-2\n",
      "Working on: SW01-14A-2\n",
      "Working on: SW01-15A-2\n",
      "Working on: SW01-16A-2\n",
      "Working on: SW01-17A-2\n",
      "Working on: SW01-18A-2\n",
      "Working on: SW01-19A-2\n",
      "Working on: TS01-00A-2\n",
      "Working on: TS01-01A-2\n",
      "Working on: TS01-02A-2\n",
      "Working on: TS01-04A-1\n",
      "Working on: TS01-05A-2\n",
      "Working on: TS01-06A-3\n",
      "Working on: TS01-07A-2\n",
      "Working on: TS01-08A-2\n",
      "Working on: TS01-10A-2\n",
      "Working on: TS01-11A-2\n",
      "Working on: TS01-12A-2\n",
      "Working on: TS01-13A-2\n",
      "Working on: TS01-14A-2\n",
      "Working on: TS01-15A-2\n",
      "Working on: TS01-16A-2\n",
      "Working on: TS01-17A-2\n",
      "Working on: TS01-18A-2\n",
      "Working on: TS01-19A-2\n",
      "Working on: TS01-20A-2\n",
      "Working on: TS01-21A-2\n",
      "Working on: TS01-22A-2\n",
      "Working on: TS01-23A-2\n",
      "Working on: TS01-24A-2\n",
      "Working on: TS01-25A-2\n",
      "Working on: TS01-26A-2\n",
      "Working on: TS01-27A-2\n",
      "Working on: TS01-28A-2\n",
      "Working on: TS02-01A-2\n",
      "Working on: TS02-02A-2\n",
      "Working on: TS02-03A-2\n",
      "Working on: TS02-04A-2\n",
      "Working on: TS02-05A-3\n",
      "Working on: TS02-06A-2\n",
      "Working on: TS02-07A-2\n",
      "Working on: TS02-08A-2\n",
      "Working on: TS02-09A-3\n",
      "Working on: TS02-10A-3\n",
      "Working on: TS02-11A-2\n",
      "Working on: TS02-12A-2\n",
      "Working on: TS02-13A-2\n",
      "Working on: TS02-14A-2\n",
      "Working on: TS02-15A-2\n",
      "Working on: TS02-16A-2\n",
      "Working on: TS02-17A-2\n",
      "Working on: TS02-18A-2\n",
      "Working on: TS02-19A-2\n",
      "Working on: TS02-20A-3\n",
      "Working on: TS02-21A-2\n",
      "Working on: TS02-22A-2\n",
      "Working on: TS02-23A-2\n",
      "Working on: TS02-24A-2\n",
      "Working on: TS02-25A-2\n",
      "Working on: TS02-26A-2\n",
      "Working on: ET1_279BS\n",
      "ET1_279BS in site ET1 Not included, demagnetization not completed\n",
      "Working on: ET1_283E\n",
      "ET1_283E in site ET1 Not included, demagnetization not completed\n",
      "Working on: ET1_287D\n",
      "Working on: ET1_289D\n",
      "Working on: ET1_311E\n",
      "Working on: ET1_318A\n",
      "ET1_318A in site ET1 Not included, demagnetization not completed\n",
      "Working on: ET2_182B\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on: ET2_185A\n",
      "ET2_185A in site ET2 Not included, demagnetization not completed\n",
      "Working on: ET2_187A\n",
      "ET2_187A in site ET2 Not included, demagnetization not completed\n",
      "Working on: ET2_192A\n",
      "ET2_192A in site ET2 Not included, demagnetization not completed\n",
      "Working on: ET2_196D\n",
      "Working on: ET3_008A\n",
      "Working on: ET3_023E2\n",
      "Working on: ET3_059C\n",
      "Working on: ET3_064C\n",
      "Working on: ET3_146A\n",
      "ET3_146A in site ET3 Not included, demagnetization not completed\n",
      "Working on: ET3_150B\n",
      "ET3_150B in site ET3 Not included, demagnetization not completed\n",
      "Working on: MGH1\n",
      "Working on: W1\n",
      "Working on: W2\n",
      "Working on: W3\n",
      "Working on: W4\n",
      "Working on: W5\n",
      "Working on: W6\n",
      "Working on: LV10D3A\n",
      "Working on: LV11A2\n",
      "Working on: LV12A2A\n",
      "Working on: LV12D1\n",
      "Working on: LV12E2\n",
      "Working on: LV14C3A\n",
      "Working on: LV15B1\n",
      "Working on: LV16A2B\n",
      "Working on: LV16B1B\n",
      "Working on: LV17A1A\n",
      "Working on: LV18B3\n",
      "Working on: LV19A2\n",
      "Working on: LV19B1A\n",
      "LV19B1A in site LV Not included, demagnetization not completed\n",
      "Working on: LV19C1\n",
      "Working on: LV19D3\n",
      "Working on: LV19E1\n",
      "Working on: LV19F2\n",
      "Working on: LV19G2B\n",
      "Working on: LV20B1\n",
      "Working on: LV20C2\n",
      "Working on: LV21A2\n",
      "Working on: LV21B1\n",
      "Working on: LV21C1\n",
      "Working on: LV22D1\n",
      "Working on: LV23A2\n",
      "Working on: LV25C3\n",
      "Working on: LV26D2\n",
      "Working on: LV27B2\n",
      "Working on: LV28E3A\n",
      "Working on: LV29B2A\n",
      "Working on: LV30A3A\n",
      "Working on: LV30B2\n",
      "Working on: LV30D1\n",
      "Working on: LV3B3\n",
      "Working on: LV4A3\n",
      "Working on: LV4C3\n",
      "Working on: LV6A2\n",
      "Working on: LV6C3A\n",
      "Working on: LV6D1B\n",
      "Working on: LV6G1\n",
      "Working on: LV6I3A\n",
      "Working on: LV7B1\n",
      "Working on: LV7G1\n",
      "Working on: LV7H1\n",
      "Working on: LV9A2\n",
      "Working on: LV9F2\n",
      "Working on: M3B5\n",
      "Working on: M3C5\n",
      "Working on: M3G2\n",
      "M3G2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M3L1\n",
      "M3L1 in site MSH Not included, demagnetization not completed\n",
      "Working on: M3O6\n",
      "Working on: M3S2\n",
      "M3S2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M3U2\n",
      "M3U2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M3V1\n",
      "M3V1 in site MSH Not included, demagnetization not completed\n",
      "Working on: M4F6\n",
      "M4F6 in site MSH Not included, demagnetization not completed\n",
      "Working on: M4G5\n",
      "M4G5 in site MSH Not included, demagnetization not completed\n",
      "Working on: M4M5\n",
      "M4M5 in site MSH Not included, demagnetization not completed\n",
      "Working on: M4S2\n",
      "M4S2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M4T3\n",
      "Working on: M4U1\n",
      "M4U1 in site MSH Not included, demagnetization not completed\n",
      "Working on: M4V1\n",
      "M4V1 in site MSH Not included, demagnetization not completed\n",
      "Working on: M5B2\n",
      "M5B2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M5D1\n",
      "Working on: M5E2\n",
      "Working on: M5G1\n",
      "M5G1 in site MSH Not included, demagnetization not completed\n",
      "Working on: M5M2\n",
      "M5M2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M5N2\n",
      "M5N2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M5N5\n",
      "Working on: M5P2\n",
      "Working on: M5Q1\n",
      "Working on: M5S2\n",
      "Working on: M5T2\n",
      "M5T2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M5W2\n",
      "M5W2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M6B7A\n",
      "Working on: M6C2\n",
      "M6C2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M6D1\n",
      "Working on: M6E13\n",
      "Working on: M6G1\n",
      "Working on: M6K1\n",
      "Working on: M6L2\n",
      "M6L2 in site MSH Not included, demagnetization not completed\n",
      "Working on: M6M1\n",
      "Working on: M6O3\n",
      "Working on: M6P3\n",
      "Working on: M6Q2\n",
      "Working on: M6R4\n",
      "M6R4 in site MSH Not included, demagnetization not completed\n",
      "Working on: M6U2\n",
      "M6U2 in site MSH Not included, demagnetization not completed\n",
      "Working on: cr405g1-CZb\n",
      "Working on: cr418f-CZb\n",
      "Working on: cr423c-CZb\n",
      "Working on: hw226a-SZb\n",
      "Working on: jm009c1-CZb\n",
      "Working on: jm009d1-CZb\n",
      "Working on: jm009f2-CZb\n",
      "Working on: jm009i2-CZb\n",
      "Working on: jm011d1-CZb\n",
      "Working on: mc109d-SZb\n",
      "Working on: mc109e-SZb\n",
      "Working on: mc111d-SZb\n",
      "Working on: mc111e-SZb\n",
      "Working on: mc117a-SZb\n",
      "Working on: mc117b-SZb\n",
      "Working on: mc117d-SZb\n",
      "PTRM check at 373.0K has no corresponding infield measurement, ignoring\n",
      "Working on: mc117e-SZb\n",
      "Working on: mc120b-SZb\n",
      "Working on: mc120c-SZb\n",
      "Working on: mc167d2-SZb\n",
      "Working on: sc02e1-CZb\n",
      "Working on: sc03f-CZb\n",
      "Working on: sc03h-CZb\n",
      "Working on: sc06d-CZb\n",
      "Couldn't find Anisotropy Tensors, Generating...\n",
      "replacing existing ATRM data for  rs25a\n",
      "replacing existing ATRM data for  rs25b\n",
      "replacing existing ATRM data for  rs25c\n",
      "replacing existing ATRM data for  rs25d\n",
      "replacing existing ATRM data for  rs25e\n",
      "replacing existing ATRM data for  rs26a\n",
      "replacing existing ATRM data for  rs26b\n",
      "replacing existing ATRM data for  rs26c\n",
      "replacing existing ATRM data for  rs26d\n",
      "replacing existing ATRM data for  rs26e\n",
      "replacing existing ATRM data for  rs27a\n",
      "replacing existing ATRM data for  rs27b\n",
      "replacing existing ATRM data for  rs27c\n",
      "replacing existing ATRM data for  rs27d\n",
      "replacing existing ATRM data for  rs27e\n",
      "566  records written to file  /home/brendan/BiCEP_GUI/specimens.txt\n",
      "replacing existing AARM data for  hw108a1\n",
      "replacing existing AARM data for  hw108c1\n",
      "replacing existing AARM data for  hw108c10\n",
      "replacing existing AARM data for  hw108c11\n",
      "replacing existing AARM data for  hw123a1\n",
      "replacing existing AARM data for  hw123a3\n",
      "replacing existing AARM data for  hw123a4\n",
      "replacing existing AARM data for  hw123a9\n",
      "replacing existing AARM data for  hw126a4\n",
      "replacing existing AARM data for  hw126a5\n",
      "replacing existing AARM data for  hw241e2\n",
      "replacing existing AARM data for  hw241e3\n",
      "566  records written to file  /home/brendan/BiCEP_GUI/specimens.txt\n",
      "-W- WARNING: Can't fit tanh function to NLT data for rs25b\n"
     ]
    }
   ],
   "source": [
    "BiCEP.generate_arai_plot_table('example_data')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When imported, BiCEP data is stored internally as a set of nested objects, one for the dataset which contains a object for each site (a set of samples expected to have been magnetized in the same field), or each sample (an object collected in the field) which are described using a SpecimenCollection object. Each of these SpecimenCollection objects contains an object for each specimen, which is a subsample that a set of independent measurements are made on. To make the data class, we can initialize a `ThellierData` object using our `example_data.csv` file. This may take a few seconds to create all of the objects. Printing our ThellierData object allows us to see the number of sites and specimens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:49:29.553630Z",
     "start_time": "2021-06-10T18:49:25.943686Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Set of Thellier Data Containing the Sites:\n",
      "1991-1992 Eruption Site\t(53 specimens)\n",
      "hw108\t(23 specimens)\n",
      "hw123\t(12 specimens)\n",
      "hw126\t(13 specimens)\n",
      "hw128\t(26 specimens)\n",
      "hw201\t(12 specimens)\n",
      "hw226\t(11 specimens)\n",
      "hw241\t(18 specimens)\n",
      "BR06\t(3 specimens)\n",
      "P\t(36 specimens)\n",
      "VM\t(18 specimens)\n",
      "BBQ\t(12 specimens)\n",
      "rs25\t(5 specimens)\n",
      "rs26\t(5 specimens)\n",
      "rs27\t(10 specimens)\n",
      "remag-rs61\t(6 specimens)\n",
      "remag-rs62\t(6 specimens)\n",
      "remag-rs63\t(5 specimens)\n",
      "remag-rs78\t(4 specimens)\n",
      "kf\t(3 specimens)\n",
      "Hawaii 1960 Flow\t(22 specimens)\n",
      "SW\t(19 specimens)\n",
      "TS\t(53 specimens)\n",
      "ET1\t(3 specimens)\n",
      "ET2\t(2 specimens)\n",
      "ET3\t(4 specimens)\n",
      "Synthetic60\t(7 specimens)\n",
      "LV\t(45 specimens)\n",
      "MSH\t(19 specimens)\n",
      "FreshTRM\t(24 specimens)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "data=BiCEP.ThellierData('example_data.csv')\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data processing and analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Looking at site and specimen data\n",
    "We can index for our sites and specimens using a key for the site name. Let's look at site \"hw126\" and print out the object to see the specimens. This site is a lava flow erupted in Hawaii in 1935 and originally analyzed by Cromwell et al (2015). Because this eruption occurred in the age of instrumentation, we know that the original field this lava flow was erupted in was approximately 36.4 μT."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:49:29.564405Z",
     "start_time": "2021-06-10T18:49:29.561914Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Site containing the specimens:\n",
      "hw126a1\n",
      "hw126a2\n",
      "hw126a3\n",
      "hw126a4\n",
      "hw126a5\n",
      "hw126b1\n",
      "hw126b2\n",
      "hw126b3\n",
      "hw126b4\n",
      "hw126b5\n",
      "hw126a6\n",
      "hw126a7\n",
      "hw126a8\n",
      "\n"
     ]
    }
   ],
   "source": [
    "site=data['hw126']\n",
    "print(site)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at some of these data from one of the specimens from this site. We can use the `plot_arai()` method on our specimen to plot the Thellier data on an Arai plot (Nagata & Arai, 1963), which shows the magnitude of the magnetization lost by cooling in zero field against the magnetization gained when cooling in a known field. We can also plot a Zijderveld plot, which plots the magnetization vectors of the zero field steps. In the zijderveld plot, black circles represent the component of the magnetization in the x,y plane, whereas red squares represent the component in the x,z plane."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:50:23.420905Z",
     "start_time": "2021-06-10T18:50:23.147411Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "specimen=site['hw126a1']\n",
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "specimen.plot_arai(ax[0])\n",
    "specimen.plot_zijd(ax[1])\n",
    "ax[0].set_title('Arai Plot')\n",
    "ax[1].set_title('Zijderveld Plot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Both our Arai plot and Zijderveld plot are a straight line. Because we're plotting magnetization lost in zero field, against magnetization gained in a known field, the ratio of our two lines is the ratio of the Ancient field to the Lab field which is a little under 2. We can check the lab field using the `B_lab` attribute of the specimen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:50:24.044186Z",
     "start_time": "2021-06-10T18:50:24.034611Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "specimen.B_lab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The lab field was 20 μT. If we expect a value of 36.4 μT, then a slope of slightly under 2 is what we might expect. Let's look at another specimen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:53:03.928550Z",
     "start_time": "2021-06-10T18:53:03.607343Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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wAvZnHEcJYNSoUTz55JOICE8++SSPPfYYxYsXtw/l6NChQ7qhG1u3bqV48eJMmDABgP/973+UKlWKoUOH3tXnoe5drvVQi8gMEflTRMIyeV9EZKJtta1fRaRxVo67Z88eWjZsyLSpU2/ZLr9XM1FKKaVU7rvqCrSEas8Dj8J9sbBsPoROBcL+TqYBTqbYrwpAdeAM1gFRaRQDPp4+nT59+th7xZ2dnSlevDgAPj4+eHt7c+nSpXT7urm52b9lj4mJwc3N7R6vUt2r3OyhngV8DszJ5P2uQE3bozkwxfbnLTUG/pmQwMgff2RMUBCTgoO5cuVKup7nEiVKEB0dbX+dURullFJKFUxpK3Uk9z5XzqR9ZFGgGVRpARSHc78BS2HnidRDNtIqDfwFnPQCHgI2kKq2nrOzMwkJCXTv2xdjDAkJCbi4uACwZs0aDh06hJOTE61ateLSpUt4eXmlOv7169f5/fffefPNN2nSpAnly5enTp06Wf4cVM7ItR5qY8wm4PItmvQC5hir7YCniJS73XEF6AcMBr6eNo3ExETCwsKoXbt2qna1a9cmNDQUYwynT5+2Fz9XSimlVMGXcqIh/D3h8FSadhfcoMTD4D0O6ACX/sA6IHo2VD5pwRhjf1S2WKxVPlI8/gLuA2vFdYO1Fo7NN998w6pVqwBo2bIlhw8f5tVXX2XFihVcvHiRkJAQLBYLcXFxfPDBB3Tr1s0+Dnr58uWcPXuWkJAQOnfuTOPGjdm7dy+rV6/G398/Bz4xdSfy0hjqzFbcSlffLuUiAU2w/lYQCAQnJPD555/z4IMPUqZMGZJrnfr5+VGzZk2OHj3KxIkTcXFxoXfv3jl7NUoppZTKN34vCbSCKo3hpjM8eRAWbgZzPvMhoymXF08mIlx0xvoV+gHg2t/vDRw4kEmTJgHwj3/8g5iYGGbNmkWPHj3YvHkznTp14qGHHgLg66+/TrU6Ys+ePQFYsmQJw4YNw8PDg8cff5xZs2bp5MM8IC8l1BlVys7wX3GqRQJEDFgXH/JyceH555+3t/Pz+3shGxGhe/fu2RiuUkoppfKjyqRIOkoB/lC5gfXljV+BEFh4CSpb7uyL/ISEBJycnEi8PxHCgC1/vyciTJ06lZ9++sm+LTExkR9++AEXFxf7t+vJCXVy8QSwDvNYtGgRUVFRhISE8NxzzwHg4eFBbGzsHV+/yn55qWxellbcSssA64EBQK+BA3MmMqWUUkrlS/Hx8UxNU7jgJLD/fniiLzAaijYtyugWozn14inM9wbzl3VIR0Y90Lfi5ORkHXLaBfAE/p66RceOHQkICKBMmTKp9ilevDgBAQF07dqVtm3bZnjckJAQqlWrxtixY/H29s5wATvlWHkpoV4ODLFV+2gBRBtjbruc4V6gj4sL1Vu2JGTLFn7//fccD1QppZRSeVtSUhLffPMNderUYdSoUfbt2yrAowOg0Sj4sSYQAiefP8mkbpOoVLLSPZ1z9OjRHIo8ZO0eTLEcYtmyZWnXrh1LliwhMjLSvj0mJgZXV1fg1sUTktfSAKhevTr79++3768VPvKG3CybNx/YBtQWkdMi8qyIBIhIgK3JKuAEcAyYjnVY9G01adKEy3FxbNm6laCgINq2bctvv/2WI9eglFJKqbzNGMPy5ctp1KgRgwcPxsPDgxUrVlCmuiBDodVzsKIi8AvEfAqV11u43/3+bDn39OnTrZO7tmPNaGz++usvqlatip+fH5Ur/11XJCwsDDc3N6ZOncrevXvZuHEjCQkJREZGcvnyZcqXLw9AbGysPblu2LAhx48fByA0NFQrfOQRuTaG2hgz4DbvGyDoXs7xwgsv4OrqStu2bVm3bh01a9a8l8MppZRSKh/ZsGEDr7/+Otu2baNGjRp8M+8bijUqxjtb3uHPpww+Hj681PIlhjcZjrur++0PmAVBQUFMnz6d+Ph4KAo0xDoZMeHvNgkJ1hcHDhygZ8+efPbZZ0ycOBF3d3c++ugjSpUqxdmzZ3nvvff47LPPcHV1pVu3blhsY7gPHTrE2bNn8fHxwd/fn+nTpzNx4kRKlizJE088kS3Xoe5NXpqUmC0CAwNxdXWlffv2rF27lgceeMDRISmllFIqB+3evZvXX3+dtWvXUr58eaZ8MYXizYrz323/JezbMKp5VeOLHl8wtOFQijgXybbzBgUFMWXKlL8Xj2sA/ApsTN3OycmJM2fOsHjxYvukw7FjxwKwefNm9u3bh4hQqVIlBgwYgI+PT6r9GzVqxA8//MDNmzcpUqQILVu2tO+v8oa8NIY62zz33HO8//77dOzYkbCwDBdmVEoppVQ+Fx4eTt++fWnatCl79+7lg48+4LXFr/HRjY8YumwoSSaJuY/N5fDow4xoMiJbk2mwDvFItRJzI6AkcCV1ux49elC5cmUeffRRxo0bZ99+8uRJfv31VwIDA+nRowfbtm2jZMmS6c5z8+ZNEhMTGTt2LImJicTFxWXrdah7V+B6qJMNGTIEV1dXOnXqxI8//kijRo0cHZJSSimlssGpU6d4++23mTNnDsWLF+e1t16jRLsSTNw7kTM/ncHPx4+ljyylZ+2eWCTn+g7j4+P/flEVKAGs/HuTiPDUU0/x9NNPs337dh5++OFU+2/evJljx44xffp0LBYLrVq14vLly7i5ubF8+XL8/Pzw8fHB1dUVi8XCxIkTcXV1ta+sqPKOAptQA/Tv3x8XFxc6d+7MypUrU9WlVkoppVT+cuHCBd5//32mTp2KiBDwQgAlHy7J9LDp/LXxL9pWbsvMXjN5uNrDiGS0vEX2cnFx+Tupbor1e//zYLFYePfdd2natCmdOnViw4YNFC1alF27dnHmzBn7/qVKleLpp5+mQQNrEexly5bZa08nL+QC1sQ9ICDA/vp///tfjl+bujMFOqEG6NOnDy4uLnTr1o1ly5bRsmVLR4eklFJKqTsQFRXFRx99xIQJE7hx4wb9n+2PZxdPvj78NVd2XqFbzW687v86rSu1ztW4hg8fzuTJk60903WArUAiBAQG8I9//IMFCxbw559/4ufnR5s2bRARfvnlF/v+qYaLqHytwCfUYP0tb86cOfTq1YvFixfTpk0bR4eklFJKqdu4du0akyZN4oMPPiAyMpJHBz2KZ3dPFp9YzI1fb9C3bl9ef+h1GpVt5NhAm2BdenHP35uKFi1KlSpVOHbsGK1atfq7aZMm9ue3qj2dkpubGzExMXh4eGjt6TyqUCTUAF26dGH+/Pn07duXBQsW0KFDB0eHpJRSSqkMxMXF8dVXX/Huu+9y7tw52vRug3dPb1aeXok5ZhjcYDCvtn6V2qVrOzTO6dOnW4d5OGNdTSPy7+3du3fnm2++oWbNmhw+fJgBAwZQtGhRdu7cCcDUqVO5cuUKJ0+epGXLlsTExKSqPZ1yufE//viDnTt30rFjR609nUcVmoQarMt+Llq0iH79+vH111/TuXNnR4eklFJKKZvExETmz5/PW2+9xYkTJ3iwy4PU/Vdd1l9cj8sZF0Y0GcHLrV6msmfl2x8sF8THx0NdoDnwbertu3bt4rnnnqN9+/a89dZbvPzyy9StW9c+oTB5TPSmTZsIDg7GYrGkqj394Ycf0qBBA4YMGcLPP//M6tWrOXjwoNaezqMkv4/f8fPzM7t37759wxS2bNnCY489xowZM+jRo0cORaaUUrcmInuMMYVqtvTd3LNVwZe8uuGbb75JWFgYNdrVwLu3NzujduLu6k6gXyDjWo6jrHtZR4eaiqurK/GD4q2l8iYCtpTK2dk5VQWQ8PBwDh06RJ8+fYiKisLLy+u246cnTZrEsGHD7MM8Zs2axZgxY3LuYlSWZHbfLpB1qG+ndevWrFixgmeffZalS5c6OhyllFKq0Fq/fj2tWrWid+/eRHpGUm98PY61O8axm8d4p907/P7C73zQ6YM8l0wD9AnoA1WAXdiTaYARI0akardv3750qzdPnTqVmTNncurUqQyPnXK5cQ8PD2JjY7MxcpXdCtWQj5SaNWvGjz/+SLdu3YiLi+PJJ590dEhKKaVUobFr1y7eeOMN1v68Fu8W3lR9ryq/xf9GkiWJjx/5mBFNRmTb8uA5ISgoiIWnFlp7p/dbtzk7O9OmTRveeuste7tNmzZhsVioX78+AO7u1msKCAjg7NmzLFiwgKCgIIoUyd5FZ1TuKrQJNUDjxo1Zu3YtnTt3Jj4+nsGDBzs6JKWUUqpACw8P58033+S7pd/h3tydcv8ux7mkc5R0K8nU1lMZ2mgoRZ2LOjrMWwoKCmLyV5PhH8BB4Jp1EZcRI0bQr18/jh07RpkyZdi/fz9Hjhxh6NCh9rrYzs5/p14+Pj54e3tz6dKldMuNa2WP/KVQJ9QA9evX5+eff6ZTp07ExcXxzDPPODokpZRSqsA5efKkdXXDb+bg2swV77e8ucxlKpWqxHj/8fT37Y+zJe+nJQkJCXzxxRdQHggFdli3G2OYOnUqkZGRNGrUiBIlSrBlyxaGDRvG9u3b2bdvHyJC27Zt7ceKjIzk0qVLeHl5parq4enpSZUqVQgNDcXf318re+QDef9fbi6oW7cu69ev5+GHHyYuLi7VakRKKaUyJiL9gLeBB4BmxhidbVjIVXFy4lRSUrrtlUQ4W9QJ09jg9robVy1X8S3ny5cPfUmvOr1ydHnw7Obk5ERiYiJ0BxKAS3+/l5SUxMiRI3FycmLy5MnUqFGDyZMns3fvXvr370+bNm0YP348AFOmTMFisdCjRw+KFSvG2rVrOXv2LEOGDOHEiRNERkZy/Phx9u7dq5U98gFNqG1q1arF+vXr6dixI3FxcYwdO9bRISmlVF4XBjwOfOHoQFTecCopibS1K6KLgGczQ9F2ztxwukHjyo1546E36FStU64sD57dRASnqk4k3p8Iy1K/5+zsTNu2bYmJiWHfvn2MGTOGzZs306JFCx566CHA2okHMGrUqFT7RkREEBQUhIeHBx4eHlrVI5/RhDqF6tWrs3HjRjp06MDNmzd5+eWXHR2SUkrlWcaYcCBfJkUq510sDhNawOfNgKLQvkZ7Xn/odfwr+Ts6tHuSlJSESysXErclWod8pJBc3SNlVY6YmBgqVKhgb1OiRIkMj6tVPfI3TajTqFy5sj2pjouL44033nB0SEopla+JyAhgBEClSpUcHI3KaadLwEetYFoTuOEMfQ7B4s2w6twqR4d2T4KCgpg+fTrxrvHwD3C74cZNy00SkhJwdnbGz8+P4ODgdPvl9/U+VNZoQp2BChUqsHHjRvvwj7ffflt7YJRShZKI/AxkVAD4DWPMsgy2p2OMmQZMA+vCLtkYnspDjl0+Bo9CtUaQJDD4V3g1BOr8Bfn9f9CgoCCmTJliTY5bAE4QuzGWwBGB9OvXD1dXV/bs2ZNhVY4SJUoQHR1tP9aVK1cyPIdW9cjf8s8sgFxWrlw5NmzYwNKlS3nttdf0N0ylVKFkjHnYGOObwSNLybQq+A5cOMDAJQOp/XltaAjD98CxiTDre2syXRBMnz7dmgcI0BA4CvwF06ZN48SJE5QuXZratWsTGmodA5KyKkft2rUJCwsjISGByMhILl++nOE5Mttf5Q+aUN9CmTJlWL9+PWvWrOEf//iHJtVKKaWUzc4zO+m1oBcNpjbghyM/UC+6HuUmwORVUDXKmnsmPypb8ne6YV9GvBZQFFhnfZmQkED16tWpVasW/v7+HD9+nIkTJ3L8+HH8/a1jxcuUKUO9evUIDg5m7ty5dOvWzX7c5cuXc/bsWYBM91f5gw75uI1SpUqxbt06unTpwujRo5k0aRKWfH5jUEqp7CAijwGTgPuAlSKy3xjT2cFhqRxkjGHDyQ28t/k91v22Dq+iXrzd9m2Stifxzifv8Oabb/Luu+86Osxs5+zsTEJCApQA9gIXrNudnJwIDw8nPDycGzduULRoUcaOHUtUVBQff/wxpUuXBqxDSZ9//vl0x+3UqVOq2tNPPPEExYoVy70LU9lGE+os8PLyYs2aNXTr1o2RI0fyxRdfaFKtlCr0jDFLgaWOjkPlPGMMK4+u5L3N77H99HbKupflw04fMrLJSH764Sf6vdaP/v3788477zg61BzRrl07ft79s7X29DpIrg04cuRI+9oVP/30E0WL/r3Co7e3923XtQgJCaFatWr4+/sTEhJCSEgInTp1yqGrUDlJs8IsKlmyJKtXr+bIkSM888wz1qLuSimlVAF35NIRGn3RiEfnP8r5q+eZ3G0yvz3/Gy+1eonw0HCeeuopWrZsycyZMwvkBH5jDFFRUbj6u0IisN/aMz1o0CB7VQ9jDAcPHsTX1/eOjh0REUHDhg0BaNiwIREREdkcvcotmlDfAQ8PD1atWsXp06d56qmnrF//KKWUUgVYhRIV8Czqyezes0l66RSBzQIp5lIMEaF58+bcuHGDszt2pOqdLUjWrVvH7v27cW7qTL/6/Yj8PZIPP/yQr776yt7m999/x93dnVKlStm3RUZGMnXqVGbOnMmpU6cyPLbWni44NKG+Q25ubvzwww9ERkbSv39/4uLiHB2SUkoplWOKuxRn47CNDGk4hN8TDAbSPTJabjy/CwoKwtXV1ToEwxeumWsMbzichQsX0qVLF4oUKWJve+DAgVS90+7u7owbN46AgAA6d+7MkiVLuHnzpiMuQ+USHUN9F4oVK8b333/PE088Qb9+/fj2229T/WCltWzZMo4cOYKbmxuBgYEAXL9+PdVEhH79+tknImzevJl9+/YhInTt2pUaNWqkO+at9ldKKaXU3UtVdxqgKXAB/hf4P/7z7n944IEH7G2TkpIIDw9n5MiR9m3Ozs44O1tTLB8fH7y9vbl06RI+Pj6pzqO1pwsO7aG+S0WKFGHRokW4uLjw2GOPcf369UzbNmrUiMGDB6faljwRYezYsVSrVo2QkBAALl68SFhYGIGBgQwePJiVK1eSlMFv/pntr5RSSql7Y687DeBje6yFjRs20rJly1Rtk+tQp1xSPDY21v5/d2RkJJcuXcLLyyvdebT2dMGhPdT3wNXVlQULFvDUU0/Rs2dPli1bRvHixdO1q1y5MlFRUam2RUREMGzYMMA6EWHWrFl06tSJiIgIfH19cXZ2xsvLC29vb86cOUPFihWztL9SSiml7o297jRAKSAM+A0SExPp06cPRYoUoU6dOgwYMICDBw9Sv379VN8u16hRgxMnTmCxWLBYLPTo0YNixYpx/fp1XnvtNQDmzJlD9+7dWbFiBXv37qVkyZI88cQTDrlede80ob5Hzs7OzJ07l2eeeYZu3bqxYsUK3N3db7tfbGwsV69epV+/fsyaNcs+ESEmJoYKFSrY25UoUYKYmJgM99eJDEoppVT2s9edLgZ0A34AEq3VPV588UVatWplb1uzZk0uXrzI4sWLCQwMJCYmhjlz5jBmzJh0JXZDQkLo27cvn332GdWqVWPv3r0MHTo0V69N5Qwd8pENnJycmDlzJjVr1qRz585ER0dnab/x48ezc+dOxo8fb9+mqzEqpZTKqypbLKlWQCwoKyGm9dhjj1mfNMKaVJ+2vuzRo0eG7TP7djmjdlomr2AqWD8BDmSxWPjiiy9o1KgRtWvVwtvFBYsI3q6ujAkKStc+ISGBWbNmsW7dOmbNmmWva12iRIlUCfmVK1fsPdEpJU9kAHQig1JKqVxxMjERY0y6x8kCtjbDjRs3cHF1sU5GPAqWqxZGjhzJCy+8wM6dO5kyZQrLli2zz5+KiYmhZMmS9v312+XCJ1cTahHpIiKHReSYiLyawfslReQHEQkVkYMi8nRuxnevLLbf3PnzT5YkJHATWBIfz+IpU/jnSy+lart37146derEgw8+yMMPP8zevXsB6wSFsLAwEhISiIyM5PLly5QvXz7duXQig1JKKZV9ksvkiQg//PAD1R6uBiXgmWrPEBYWxtSpU/Hz82Ps2LEEBATg7u7OmjVrAP12WeViQi0iTkAw0BWoCwwQkbppmgUBh4wxDYF2wMci4ppbMWaHedOnMx9oD7jY/hxpDHNnzuSvv/7ik08+4aeffmL9+vW0bt2aiRMn0rp1a9avX8/58+cpU6YM9erVIzg4mLlz59KtWzf7GKzly5dz9uxZAPz9/Tl+/DgTJ07k+PHj+Pv7O+qSlVJKqXwtuUxeysmIh90P4xLmwpBOQ+xl8tzd3a2dZyI0adLEPqxDv11WuTkpsRlwzBhzAkBEFgC9gEMp2hjAQ6xrl7oDl4F8tRxhVHw8aVPbN4B3kpL4v//7PwDGjRvHsGHDeP755+1tTp48yfjx4/nkk09o06YNbdq0SXfsnj172p8XL15cJzIopZRS2SBVmTwAWwW8hFMJtH2orX1zcs1ogPDwcMqUKQNYvzVesmQJLVu2JCYmRr9dLoRyM6EuD/yR4vVpoHmaNp8Dy4GzgAfwpDEmXRFmERkBjACoVKlSjgR7tzxdXAiJj6d9im0hQAknJwDOnTvH7NmzOXjwYKr9/vnPf+Lr68s///lPypYtm3sBK6WUUoVcqjJ5AL7ABTDhhqlTpwLQsWNHDhw4wPnz5xERPD097ZMUU367bLFY0n277Ofnh4+PD/7+/ixatAiA48ePa5m8AkRya9yPiPQDOhtjnrO9fgpoZowZk6JNX6A18A+gOrAWaGiMuZLZcf38/Mzu3btzNPY7MSYoiMVTpjDPGPyxJtMDRYgtXpx/vPQSUVFRiAiffvppun3HjRuHiPDJJ5/ketxKqdwnInuMMX6OjiM35bV7tlIALi4u1jJ5YC1bMgAw4PStExMmTMDJyQkvLy969+5N0aJFiYqK4vPPP6d06dIAVKhQIcMKIJmtaiwiOu46n8rsvp2bPdSngZSrk1TA2hOd0tPA/4z1X9kxEfkNqAPszJ0Q792k4GAA+kyfTlR8PJ4uLgwaPpw3/vUvunXrxsGDBwkPD89wX+2lVkoppXLfsGHD+PLLL60vHgAigQjo378/gYGBWCwW1q5dy+bNm+2LqHl7exMQEHDL4yavauzv709ISAghISG6CFsBlZtVPnYBNUWkqm2iYX+swztS+h3oCCAi9wO1gRO5GGO2mBQczOW4OJKM4XJcHJOCgylbtiytW7emSpUqDBw4kPPnz6fbr1y5cgwZMiRVXWqllFJK5awXXngBsFbrojmQBANbDWTu3Ln2oRsVKlTgypVMvzDPkNadLjxyrYfaGJMgIqOBnwAnYIYx5qCIBNjenwq8C8wSkQNYv3R5xRjzV27FmNP27dvHkSNHAGvynJnWrVvnVkhKKaVUoffee+/h7u7Oyt0raTuzLT3dezLjwxmp2uzbtw9fX1/768jISKZOnUqRIkXo0KEDlStXTndcrTtdeOTq0uPGmFXAqjTbpqZ4fhZ4JDdjyk0hISH25wsXLmT06NHMmDGDRx991IFRKaWUUoXXkSNHWLhwIS+99BJzD83FOdyZV996lSJFitjbbNq0CYvFQv369QFr+bxx48ZRvHhxzp49y4IFCwgKCkq1jypcdKVEB3nyySdZsWIFAQEBfPzxxzo5QSmllMpFyQu51K5dm6SkJP748w9mz5vNI60eoWXjlvZ2+/fv58iRI/Tp0wdrVV9wdnamePHiAPj4+ODt7c2lS5fSnUPrThcemlA7UPPmzdm2bRtff/01w4cPJy4uztEhKaWUUgVeRgu5zA+ZT1yRON4e/LZ927Fjx9iyZQsDBgzAxcXFvj02NpakJGtV38jISC5duoSXl1e682jd6cIj18rm5ZSCUILp6tWrDBo0iOjoaJYsWUKpUqUcHZJSKhdo2TylHMPV1TV97Wk/oChMGTQFsNad/vHHH0lISLD3RieXxzt06BDr16/HYrFgsVho164dtWvXBlLXnb527RqLFi0iOjqakiVL8sQTT2jZvHwus/u2JtR5RGJiIq+99hpLly5lxYoV9h9MpVTBpQm1Uo6RPHTDrjLWwr3fg9mX83mRJtT5V2b3bR3ykUc4OTkxfvx4XnvtNdq0acPPP//s6JCUUkqpAinl8A0AmgLXwflwrtZqUAWIJtR5zDPPPMPChQsZNGiQfblTpZTKi0TkQxGJEJFfRWSpiHg6OialsmL48OF/91K7Y13MZT+MeHqEA6NS+Zkm1HlQu3bt2LJlCxMmTOCFF174ezlUpZTKW9YCvsaYBsAR4DUHx6NUlgQHB/+95kNjwAkG1hpIsG21Y6XulCbUeVSNGjXYtm0bBw8epGfPnne8OpNSSuU0Y8waY0zyb/zbgQqOjEepO1GxYkV8KvhQvld5OlfvzDcTv3F0SCof08FCeZiXlxerVq1i7NixtGrVih9++IGqVas6OiyllMrIM8DCjN4QkRHACIBKlSrlZkxKZWrr1q0UrVKUEz+foLtfd7Zv306LFi24fv06ixYtIioqCk9PT/r160exYsUA2Lx5M/v27UNE6Nq1KzVq1Eh33Fvtrwou7aHO41xcXJg8eTIjRoygVatWbNmyxdEhKaUKERH5WUTCMnj0StHmDSAByLCLzxgzzRjjZ4zxu++++3IrdKUydeHCBU6dOoVpZaj0SCU+fe1Tdu3axcWLFwkJCaFatWqMHTuWatWq2Vc5vnjxImFhYQQGBjJ48GBWrlxpr0WdUmb7q4JNE+p8QEQYO3YsM2bM4LHHHmPu3LmODkkpVUgYYx42xvhm8FgGICJDgR7AIKN1wFQ+sW3bNigFvxX/jZFNRlK8WHFKly7NlStXiIiIoGHDhgA0bNiQiIgIACIiIvD19cXZ2RkvLy+8vb05c+ZMumNntr8q2DShzke6du3KL7/8wr/+9S/efPPNDH8zVkqp3CIiXYBXgJ7GmGuOjkeprNq2bRuWZhZcLC48++CzREVFcf78eSpUqEBsbCweHh4AeHh4EBsbC1iXDi9ZsqT9GCVKlLAvK55SZvurgk0T6nzG19eXHTt2sGHDBp588kmuXdP/w5RSDvM54AGsFZH9IqK1PlW+sGXnFqSx0LduX7xcvVi4cCFdunShSJEime6jX8CoW9GEOh8qU6YM69ato1ixYrRp04azZ886OiSlVCFkjKlhjKlojGlkewQ4OialbiUoKAhXV1e2RG8h0SWR6xuvs3DhQho0aMADDzwAgJubm73nOSYmBjc3N8DaIx0dHW0/1pUrV+w90Slltr8q2DShzqeKFCnC7Nmzefzxx2nevDl79+51dEhKKaVUnhUUFMSUKVOIj4+3rox4Hr6f9D3ffvstLVu2tLerXbs2oaGhAISGhlKnTh379rCwMBISEoiMjOTy5cuUL18+3Xky218VbJLfv8Lw8/Mzu3fvdnQYDrVkyRICAgL44osvePzxxx0djlIqi0RkjzHGz9Fx5Ca9ZytHcXV1tSbT5YHhwBLgAFgsFvuCLh07dqR8+fIsWrSI6OhoSpYsyRNPPGEve7dp0yb27duHxWKhS5cu1KxZE4Dly5fj5+eHj48P165dy3T/ZCKiQ0jyqczu25pQFxB79uyhV69ejB49mldeeeXvJVWVUnmWJtRK5R77/4u9sS41/jEQZ92U27mQJtT5V2b3bR3yUUA0adKEHTt2sGjRIoYNG8bNmzcdHZJSSimVZ7i4uEBxwBcIxZ5Mu7i4ODAqVVBoQl2AlC9fnk2bNnH16lUefvhhLl686OiQlFJKqTxh+PDh0AjrGtG7rNtExLpdqXt0xwm1iAwUkQUi8o2IzBORATkRmLo7bm5uLFq0iIceeogWLVpw6NAhR4eklFJKOdyjPR+1TkY8CVy09kyPGjXKPn5aqXvhfBf7tDXG9E9+ISLBwPzsC0ndK4vFwvvvv0+dOnVo164dX3/9NZ07d3Z0WEoppZTDvP7V61AP5g6by6CZgxwdjipg7mbIRxER6S4iDUSkO1DstnsohxgyZAjfffcdw4YN4/PPP3d0OEoppZRDhIaGss95Hx540K9+P0eHowqgu0moAwEvoCvgCYzOzoBU9vL392fLli1MmTKFoKAgEhISHB2SUkoplav+/dm/oRaMbDYSVydXR4ejCqDbDvkQkeUZbbb9aYwx32RvSCq7VatWja1bt/Lkk0/SvXt3Fi5ciKenp6PDUkoppXLc6dOn+f7090gl4fnWzzs6HFVAZWUMdUvgD6zjpHfwdzKt8pGSJUuyYsUK/vGPf9CyZUtWrFhB9erVHR2WUkoplaM+mfgJppGhc+XOVChRwdHhqAIqK0M+ygKvY63c+BnQCfjLGLPRGLMxJ4NT2cvZ2ZmJEycyZswYWrduzaZNmxwdklIqG4lIJxGZLiKNbK9HODgkpRzqypUrTNk0Bdzg5bYvOzocVYDdNqE2xiQaY1YbY4YCLYBjwAYRGZPj0akcERgYyNdff03fvn2ZOXOmo8NRSmWfQOBlYLCIdMBadVepQuvLL7/khu8NKrtVpkPVDo4ORxVgWZqUKCJFRORxYC4QBEwEvsvJwFTO6tSpExs3buS9997jlVdeISkpydEhKaXu3UVjTJQx5iXgEaxVd5UqlOLj4xn/9XioCOP8x/299LhSOeC2CbWIzAa2Ao2Bfxtjmhpj3jXGnMnx6FSOeuCBB9ixYwfbt2/n8ccf5+rVq44OSSl1b1YmPzHGvArMcWAsSjnUokWLuFDxAq7iytBGQx0djirgstJD/RRQC3ge2CoiV2yPGBG5krPhqZxWqlQp1q5di7e3Nw899BB//PGHo0NSSt0lY8yyNJumOiQQpRzMGMP/JvwPaSg81egpPIt6OjokVcBlZQy1xRjjYXuUSPHwMMaUuJOTiUgXETksIsdE5NVM2rQTkf0iclBEdNJjLnB1deWrr75i4MCBtGjRgl27djk6JKXUPRKRL4ELIvKHiOywTVbUuS+qUFi/fj0HLAcwzobApoGODkcVAnezsAsAIuIkIlleu1NEnIBgrAvC1AUGiEjdNG08gclAT2NMPUCXM8olIsLLL7/M5MmT6datG99++62jQ1JK3ZuHgPuNMRWBx4GlgJtjQ1Iqd3z40Yc4tXCimU8zGpdr7OhwVCGQlYVdSmCdiFgeWA6sxbo64kvAfiCrC7s0A44ZY07YjrsA6AUcStFmIPCdMeZ3AGPMn1k8tsomvXr1onLlyvTs2ZPDhw/z5ptv6kQOpfKn7VhXtf3TNuflDLDKsSEplfPCwsJYHbEamsPoZrqYs8odWemh/hqoDRwAngPWAH2BXsaYXndwrvJYF4hJdtq2LaVagJeIbBCRPSIyJKMDicgIEdktIrsvXrx4ByGorGjUqBE7duzghx9+YPDgwdy4ccPRISml7tw0YKOIvCQiD4lISUcHpFRu+OSTT7C0sOBd1Jt+9fSLbpU7spJQVzPGDDPGfAEMAPyAHsaY/Xd4roy6OU2a185AE6A70Bn4l4jUSreTMdOMMX7GGL/77rvvDsNQWVGuXDk2btxIQkICHTp04MKFC44OSSl1Z+YC32K9rwZinVR+3LEhKZWzzp07x9fLvsbUMjzX+DmKOhd1dEiqkMhKQh2f/MQYkwj8ZoyJuYtznQYqpnhdATibQZvVxphYY8xfwCag4V2cS2WDYsWKMX/+fDp16kTz5s05cOCAo0NSSmXdaWPMW8aY/xljBtjmpdS97V5K5WOTJk0ioWECCIz0G+nocFQhkpWEumGKMnkxQIO7LJu3C6gpIlVFxBXoj3VMdkrLgIdExFlEigPNgfA7OIfKZhaLhX//+9+8//77dOjQgZUrV95+J6VUXrBfRJ5PucEYczM7TyAi74rIr7bKTGtExCc7j6/Unbh69SqTv5hM0VZF6VqzK9W8qjk6JFWIZKVsnlOKMnkexhjnuymbZ4xJwDqZ8SesSfK3xpiDIhIgIgG2NuHAauBXYCfwpTEm7G4uTGWvgQMHsnz5coYPH86nn36KMWlH6yil8pj7gQAROSsiK0TkPRHJ7gGlHxpjGhhjGgErgP/L5uMrlWUzZswgumw0N1xuEOinpfJU7spKlY9b3SCNMebdrJ7MGLOKNLPMjTFT07z+EPgwq8dUuadly5Zs27aNRx99lPDwcIKDg3FxcXF0WEqpDBhjngAQkSJAPaA+1m/9FmXjOVJ+S+lG+nkxSuWKhIQEPv30U0r2LImXpxddanRxdEiqkMnKkI/YDB4AzwKv5FBcKo+qXLkyW7Zs4ezZs3Tp0oXLly87OiSl1C0YY24aY/YaY2YD/8nu49t6vv8ABqE91MpBvvvuO05ePUm0dzQBTQJwsjg5OiRVyGRlyMfHyQ+sZZiKAU8DCwAdoFQIeXh4sGzZMho1akSLFi04cuSIo0NSSqUgIm4i0kxEnhaRj0VktYicAX67i2P9LCJhGTx6ARhj3rAtHvMN1mF9GR1DS52qHGOM4aOPPqLkwyVxdXLlmQefcXRIqhC67ZAPABHxBv6BtQdiNtDYGBOZk4GpvM3JyYmPP/6YOnXq8NBDDzF//nw6dOjg6LCUKvRE5CTggnXRrAisc1YGAI3uZrEsY8zDWWw6D1gJvJXBMaZh7ZDBz89Ph4WobLV582Z2he6iaI+iPFHvCe5z03K6KvfdtodaRD7EWqEjBqhvjHlbk2mVbPjw4SxYsIABAwYwffp0R4ejlLJODrwMTDfGjDHGTAZu5sTKsyJSM8XLnlgTeKVy1Ycffoh7S3duGJ2MqBwnK2OoXwR8gDeBs7aSeXdTNk8VUO3bt2fz5s18+OGHvPjiiyQmJjo6JKUKLWPMaOBRoLttmEVXcm6y4P9swz9+BR4Bnr/dDkplp/DwcFasWIFbezcalW1EiwotHB2SKqSyMobaYowpllwmL8XjjsrmqYKtVq1abN++nf3799O7d29iYu5m7R+lVHYwxpw0xgwFhgIjgLIi0i4HztPHGONrK533qDHmTHafQ6lb+eSTT3Ct7soFLhDoF4hIRosyK5XzsjLko6Xov1CVBd7e3qxevRofHx9at27NqVOnHB2SUoWaMeagMeYxoD3wpohscnRMSmWX8+fPM2fOHCr1rUSJIiUYWH+go0NShVhWhnwMBfaKyAIRGSYiZXM6KJV/ubi4MHXqVJ5++mlatmzJ9u3bHR2SUoWeMWaHbXLhO46ORansEhwcTJxLHKfcTjGs4TDcXN0cHZIqxLIy5CPAGPMg8DbgBcwSkW0i8r6ItBERLfaoUhERxo0bx/Tp0+nZsyfz5s1zdEhKKcAY87OjY1AqO8TGxjJ58mTqDqpLfFI8o5qOcnRIqpDLUtk8AGNMBNYZ3J+KSDGsXyH2Az4B/HImPJWfde/enXXr1vHoo48SERHB22+/jcWSlS9FlFJKqczNmjWLy5GXcanmQodyHahTuo6jQ1KFXFaWHl+e2VtYlx7XZFplqn79+uzYsYPevXtz+PBhZs6cSfHixR0dllKFjoiUAy4bY246Ohal7kViYiKffPIJtXvU5vCNwwT7BTs6JKWyNIa6JVAB2Ax8BHxseyQ/V+qW7r//ftavX4+zszPt2rXj3Llzjg5JqcLoayBCRD5ydCBK3Yvvv/+eEydOUKxtMXw8fOhZu6ejQ1IqSwl1WeB1wBf4DOgE/GWM2WiM2ZiTwamCo2jRosydO5eePXvSvHlz9u/f7+iQlCpUbJMSqwEzHR2LUnfLGMOHH35IxQYV2X91PyObjMTFycXRYSmVpUmJicaY1baapi2AY8AGERmT49GpAkVEePPNN/noo4/o1KkTy5Ytc3RIShVYIrJORLql2fyFMeagQwJSKhts3bqVHTt2UGtQLZwtzjzX+DlHh6QUkMVJiSJSBOgODACqABOB73IuLFWQPfHEE1SpUoXHHnuMw4cP8/LLL2sxfqWyX1XgFRFpaoz5t22bznlR+dpHH32E131e7DP7eKzOY/h4+Dg6JKWArC3sMhvYCjQG/m2MaWqMeVdXxFL3olmzZmzfvp358+fz7LPPEhcX5+iQlCpoooCOwP0i8oOIlHRwPErdkyNHjrBs2TL8A/y5fOMygU0DHR2SUnZZGUP9FFALeB7YKiJXbI8YEbmSs+GpgqxixYps3ryZyMhIOnXqxF9//eXokJQqSMQYk2CMCQSWACFAGQfHpNRd+/TTT3FxceF0udM8UPoB2lZu6+iQlLLLyhhqizHGw/YokeLhYYwpkRtBqoLL3d2dJUuW0LJlS1q0aEF4eLijQ1KqoJia/MQYMwsYBqxxVDBK3YuLFy8ya9Ysuj7blX1/7iOwaaAOFVR5yl2vsiEiTiIyKDuDUYWTxWLhf//7H2+++SZt27Zl7dq1jg5JqXzPGPNFmtd7jDHPOCoepe7F5MmTuXHjBk4tnHBzceOpBk85OiSlUsnKGOoSIvKaiHwuIo+I1RjgBPBEzoeoCothw4axePFinnrqKSZPnuzocJQqUESknG2CuVL5yvXr1/n88895pNcjrPpjFYMbDKZkUZ0SoPKWrPRQfw3UBg4Az2H9yrAv0MsY0ysHY1OFUJs2bdiyZQuTJk1i7NixJCQkODokpQoKXdhF5Utz5szhr7/+ombfmtxIuMEov1GODkmpdLKSUFczxgyzfX04AGvZpR7GmP05GpkqtKpXr862bduIiIigR48eREdHOzokpfIdERktIl7Jr3VhF5UfJSUl8fHHH9PErwlrItfQumJrGpZt6OiwlEonKwl1fPITY0wi8JsxJibnQlIKPD09WbVqFdWrV6dVq1acOHHC0SEpld+UBXaJyLci0kVExFjpwi4q3/jhhx84evQonUd15ujlo1oqT+VZWUmoG6YokxcDNNCyeSo3ODs7ExwczKhRo2jdujUhISGODkmpfMMY8yZQE/gKa4WPoyLyvohUd2hgSt2Bjz76iMqVK3Ow2EHuK34ffR7o4+iQlMpQVsrmOaUok+dhjHHWsnkqN40ePZqZM2fy+OOPM2fOHEeHo1S+YYwxwHnbIwHwAhaLyHiHBqZUFmzfvp2QkBCGPT+MH47+wHONn6OIs86rVXnTbZceF5H/u8XbxhjzbjbGo1SGunTpwoYNG3j00UeJiIjgP//5DxbLXVd9VKrAE5GxwFDgL+BL4GVjTLyIWICjwD8dGZ9St/Pxxx/j6enJtQeuYXYYRjYZ6eiQlMpUVjKS2AweAM8Cr+RQXEqlU7duXbZv387mzZvp168fsbGxt99JqcKrNPC4MaazMWaRMSYewBiTBPRwbGhK3drx48f57rvvGB4wnDlhc+hRqweVPSs7OiylMpWVIR8fJz+AaUAx4GlgAdYZ40rlmvvuu4+ff/4Zd3d32rRpw5kzZxwdklJ5kjHm/4wxpzJ5T5ckVXnahAkTcHJyomq3qlyIvaCTEVWel6XvzEXEW0T+A/yKdZhIY2PMK8aYP3M0OqUyUKRIEWbNmkW/fv1o0aIFe/bscXRISimlssmlS5eYMWMGgwcPZv6x+VTzqsYj1R9xdFhK3VJWVkr8ENgFxAD1jTFvG2MiczwypW5BRHj11VeZOHEiXbp0YcmSJY4OSalCS0ReEhEjIqUdHYvK/6ZOncq1a9d49LlH2fz7Zkb5jcIiOmdG5W23nZQIvAjcBN4E3hCR5O2CdVKiVvpQDvPYY49RuXJlevXqRUREBK+//jop/o0qpXKYiFQEOgG/OzoWlf/duHGDSZMm0bVrV9ZGrqWIUxGebvS0o8NS6rayMobaYowpllwmL8Xjjsvm2RYXOCwix0Tk1Vu0ayoiiSLS906Orwqnxo0bs2PHDpYuXcqQIUO4efOmo0NSqjD5FGvFEOPoQFT+980333DhwgVGvTCKr3/9mv6+/SlVvJSjw1LqtnLtOxQRcQKCga5AXWCAiNTNpN0HwE+5FZvK/3x8fNi0aRM3btygQ4cO/PmnDu9XKqeJSE/gjDEm9DbtRojIbhHZffHixVyKTuU3ycuMP/jgg/zu+TtX467qZESVb+TmoKRmwDFjzAljTBzWKiG9Mmg3BlgCaEak7kjx4sVZuHAh7du3p0WLFoSFhTk6JKXyPRH5WUTCMnj0At4AbrVWAQDGmGnGGD9jjN99992X80GrfOnHH38kPDycF198kSm7p9CkXBOa+jR1dFhKZUlWxlBnl/LAHylenwaap2wgIuWBx4AOQKY/RSIyAhgBUKlSpWwPVOVfFouF//znP9SpU4cOHTowe/Zsunbtmmn76Oholi5dytWrVxERmjRpQosWLbh+/TqLFi0iKioKT09P+vXrR7FixQDYvHkz+/btQ0To2rUrNWrUSHfcW+2vVH5ijHk4o+0iUh+oCoTa5i1UAPaKSDNjzPlcDFEVEB999BEVK1akXItyHJx7kK96fqVzYlS+kZs91Bn9VKQdczcBeMUYk3irA2lvh7qdwYMHs3TpUp555hkmTpyIdQXm9CwWC507d2b06NE899xz7Nq1i4sXLxISEkK1atUYO3Ys1apVIyQkBICLFy8SFhZGYGAggwcPZuXKlSQlJaU7bmb7K1VQGGMOGGPKGGOqGGOqYO0kaazJtLobu3fvZsOGDbzwwgtM2zcNz6Ke9Pft7+iwlMqy3EyoTwMVU7yuAJxN08YPWCAiJ4G+wGQR6Z0r0akCp3Xr1mzbto1p06YRGBhIfHx8ujYeHh6UK1cOsNa3Ll26NFeuXCEiIoKGDRsC0LBhQyIiIgCIiIjA19cXZ2dnvLy88Pb2znBxmcz2V0opld7HH39MiRIleHTAoywJX8LTjZ6muEtxR4elVJblZkK9C6gpIlVFxBXoDyxP2cAYUzVFb8diINAY830uxqgKmCpVqrB161ZOnTpF165diYzMvIR6VFQU58+fp0KFCsTGxuLh4QFYk+7kZc5jYmIoWbKkfZ8SJUoQExOT7liZ7a9UQWW7d//l6DhU/nPy5EkWLVrEyJEjWXh0IQlJCQT4BTg6LKXuSK4l1MaYBGA01uod4cC3xpiDIhIgIvqTo3JMiRIlWL58Ob6+vrRs2ZJjx44RFDQGV1dvRCy4unoTEBDIwoUL6dKlC0WKFMn0WJkNHVFKKXV3PvvsM0SEwNGBfLHnCzpV60StUrUcHZZSdyQ3JyVijFkFrEqzbWombYflRkyqcHB2dmbChAlMnTqV+vUbcONGSazFZPyJj9/IF1/05fHH/2TkyJEAuLm5ERMTg4eHBzExMbi5uQHW5Dw6Otp+3CtXrth7olPKbH+llFJ/i4yMZPr06QwYMID91/Zz+sppPu/6uaPDUuqO6VqeqlAJCAggPr4IMA9oj/V3yhjgNX744Rd7u9q1axMaai2tGxoaSp06dezbw8LCSEhIIDIyksuXL1O+fPl058lsf6WUUn+bNm0asbGxvPjii0zeNZmKJSrSvVZ3R4el1B3ThFoVOomJ0YC/7dUfQCjgRnx8JFOnTuXo0aP4+/tz/PhxJk6cyPHjx/H3t7YvU6YM9erVIzg4mLlz59KtWzcsFuuP0fLlyzl71jrPNrP9lVJKWd28eZPPPvuMTp06UaxCMdaeWMvIJiNxtuTql+dKZQvJ72NC/fz8zO7dux0dhspHXF29iY9fgrWHOtl6XFz6EBd32VFhqUJIRPYYY/wcHUdu0nu2SjZr1iyefvppfvrpJ1ab1Xy+83N+H/c7Zd3LOjq0HCciOicnn8rsvq091KrQGT58ECIDgfVAvO3PAfTt282xgSmlVCFhjOGjjz6ifv36tG7Xmpn7Z9Knbp9CkUyrgkkTalXoBAdPYtSovri49AGK4OLSh/bt6/Hzz2v48ccfHR2eUkoVeD/99BMHDx7kpZdeYuHBhUTdiCLQL9DRYSl11zShVoVScPAk4uIuY0wScXGX+eWXdSxdupRnn32Wjz/+WL+KU0qpHPTRRx/h4+PDk08+SfCuYHzL+OJfSeeaqPxLR/4rZdO6dWu2b99Or169CA0NZdq0aRQtWjTT9tHR0SxdupSrV68iIjRp0oQWLVqwZs0ajhw5gpOTE15eXvTu3ZuiRYsSFRXF559/TunSpQGoUKECPXr0SHfc69evs2jRIqKiovD09KRfv34UK1Ysx65bKaVy0759+1i3bh0ffPAB+y/uZ++5vUzuNhkRcXRoSt01TaiVSqFSpUqEhITw9NNP07ZtW5YuXYqPj0+GbS0WC507d6ZcuXLcvHmTadOmUb16dapXr87DDz+MxWJh7dq1bN68mU6dOgHg7e1NQMCt1zEKCQmhWrVq+Pv7ExISQkhIiH1/pZTK7z7++GPc3d0ZMWIEz294HndXdwY3GOzosJS6JzrkQ6k03NzcWLhwIT179qR58+bs2rUrw3YeHh6UK1cOgCJFilC6dGmuXLlC9erV7aX0KlSowJUrV+7o/BERETRs2BCAhg0bEhERcQ9Xo5RSeccff/zBggULGD58OAmuCSwMW8iQBkPwKJJ+gSyl8hNNqJXKgIjwxhtvMGnSJLp168Y333xjf+/cuXN06dKF8+fP27dFRUVx/vx5KlSokOo4+/bto2bNmvbXkZHWWtczZ87k1KlTGZ47NjbWvvqih4cHsbGx2XlpSinlMJ999hkAzz//PDP3zeRm4k1GNR3l4KiUuneaUCt1C7179+aXX37hX//6F6+++iqJiYmMHz+enTt3Mn78eADi4uJYuHAhXbp0oUiRIvZ9N23ahMVioX79+gC4u7szbtw4AgIC6Ny5M0uWLOHmzZsOuS6llMpt0dHRTJs2jSeeeIKKlSoyZfcU2lRug28ZX0eHptQ90zHUSt1G/fr12blzJ3379qVK5cpEnTlDLPDlp59y+dIlOj78MA0aNOCBBx6w77N//36OHDnC0KFD7RNtnJ2dcXa2/sj5+Pjg7e3NpUuX0o3RdnNzIyYmBg8PD2JiYnBzc8u1a1VKqZwyffp0YmJiePHFF/np2E/8FvUb/+34X0eHpVS20B5qpbKgdOnS1H3gAeLPnGE5cBP4Hvh+zhwWffstLVu2tLc9duwYW7ZsYcCAAbi4uNi3x8bGkpSUBFiHfly6dAkvL69056pduzahoaEAhIaGUqdOnRy8MqWUynlxcXFMmDCB9u3b06RJEybvnsz9bvfz2AOPOTo0pbKF9lArlUULvvySlAuW1wB6AYtXrWLq1KkAdOzYkR9//JGEhAS+/vpr4O/yeKdOnWL9+vVYLBYsFgs9evSwl8Nbvnw5fn5++Pj44O/vz6JFi9i7dy8lS5bkiSeeyPVrVUqp7PTtt99y5swZpk2bxsmok6w8spI3HnoDVydXR4emVLaQ/L6AhZ+fn9m9e7ejw1CFgEWEm4BLim3xQBEgKZ//HCnHEJE9xhg/R8eRm/SeXfgYY3jwwQeJj4/nwIEDvPHLG4zfOp6Tz5+kYsmKjg7PIUREFxDLpzK7b2sPtVJZcO7cOdyBEP7uocb22g3r0IzkUneZyWwhmA0bNrBnzx77WOmOHTvaK4Ns3ryZffv2ISJ07dqVGjVqpDuuLgSjlMrL3n33XUJDQxk0aBDxSfF8ue9Lulftzvpl6zO8b+l9T+VHOoZaqSwYP3481Rs0YKAI67H2TK8HBorgXqYMrVu35pdffrnlMZIXghk9ejTPPfccu3bt4uLFiwC0bNmSgIAAAgIC7Mn0xYsXCQsLIzAwkMGDB7Ny5Ur7GOyUkheCGTt2LNWqVSMkJCSbr14ppe7eunXrKF26NM2aNWPxocX8de0vWiW1yvC+pfc9lV9pQq3UbZw7d47Zs2ezavVq+o4aRR8XF4oAfVxc6DtqFHv378disdC/f3/+85//ZHjzh8wXgslMREQEvr6+ODs74+Xlhbe3N2fOnMmwnS4Eo5TKi3799Vc2bdpEQEAAzs7OTN49mZreNSkeXTzD+5be91R+pQm1Urcxfvx4hg4dSrly5ZgUHMzluDiSjOFyXByTgoMpV64czz77LL1792b16tV0796dv/7665bHTLsQzM6dO5kyZQrLli3j+vXrAMTExFCyZEn7PiVKlCAmJibdsXQhGKVUXvXJJ59QvHhxnnnmGU5fOc3WP7Yyym8U165dy/C+pfc9lV9pQq3UbezatYsJEyYgIpk+JkyYwKFDh1i/fj2+vr40adKE7du3ExQ0BldXb0QsuLp6ExQ0Jt1CMH5+fowdO5aAgADc3d1Zs2YNgE5YUUrlS0FBQbi6uiIizJ49m+rVq+Pl5cWmU5so5lyMYY2GZbqv3vdUfqWTEpW6jTsdm/fhhx/i7+9Pu3YduHmzJLAE8Cc+PoTJkwdw+HAE7777jn0hGHd3d/u+TZo0Yd68eYC1ZyY6Otr+3pUrV+w9MinpQjBKqbwiKCiIKVOmpEqMw8LCGPPyGHZe2MlTXZ7Cq5hXpvctve+p/Ep7qJXKAb169SIxsSgwD2tdEBegHRDIhg3bUy0Ek/LrzPDwcMqUKQNYF3gJCwsjISGByMhILl++TPny5dOdSxeCUY4iIm+LyBkR2W97dHN0TMqxpk+fnq6X2RjDN6HfEJ8YT2DTQCDz+5be91R+pT3USuWQhIQowD/Flj+AeBITr6ZaCObAgQOcP38eEcHT05MePXoAUKZMGSpXrsyQIUOIj4+nbt267Ny5kxYtWvDKK6/g5eWFp6cnV65c4eDBg+zduxdnZ2cuXLjA8ePHgb8XlUlLS06pbPSpMeYjRweh8ob4+PgMtxsXQ3nn8mxcsBFpJ5kuYFWmTBnq1atHcHAwFouFbt26YbFY+/50ASyVl+nCLkrlEFdXb+LjU66tCLAeJ6fHiY+/jIjc9hgxMTFcvXqVcuXKcfPmTaZNm0b//v2577777G1++uknihYtStu2bYmKimLevHkEBgbe8rhr166lWLFi+Pv7ExISwvXr1+nUqdNdXqm6W/l9YRcReRu4eicJtd6zCzZXV9f0SXUVYBjM7DXzluOnCxNd2CX/yuy+rUM+lMohw4cPQmQgpK5cjaenM61bt2br1q2Z7nvu3Dm6dOlCbGzsLUvtGWM4ePAgvr6+dxSblpxS2Wi0iPwqIjNExCujBiIyQkR2i8ju5NrrqmAaPnx4+s6CplAkqQhP1nvSMUEplQs0oVYqhwQHT2LUqL64uPQBiuDi0ofAwL78+ecFAgIC6N+/P/369ePYsWPp9h0/fjw7d+5k/Pjx9m1pS+0B/P7777i7u1OqVCn7tsjISKZOncrMmTM5depUhrFpySmVVSLys4iEZfDoBUwBqgONgHPAxxkdwxgzzRjjZ4zxS/ntiip4goODCQgIsL929nJG6gpj/cdSzEWHlamCSxNqpXJQcPAk4uIuY0wScXGXCQ6ehMViYciQIRw+fJjGjRvTokULXnjhBS5dugTAM8OG8dWECURFRvLlp5/yzNNPpyu1l+zAgQOpeqfd3d0ZN24cAQEBdO7cmSVLlnDz5s1cv25VcBhjHjbG+GbwWGaMuWCMSTTGJAHTgWaOjlc53siRIwGYN28eb373JgiMbDLSwVEplbM0oVbKQYoVK8Zrr73GoUOHSEhIoE6dOvi3asWq2bNZBtwElgErZ82ie7duNGjQwF5qDyApKYnw8PBUCbWzszPFixcHwMfHB29vb3uinlJyySlAS06puyYi5VK8fAwIc1QsKu/YuXMnAA/6PcgXe76gS40uVPeu7uColMpZmlAr5WBlypTh888/JyQkhF+3b2c+qQvtBQHb169PVWoP4MSJE5QuXZoSJUrYt8XGxtqXPo+MjOTSpUt4eaUf1qolp1Q2GS8iB0TkV6z/bMc5OiDleDt27MDb25sDcQc4d/WcvVSeUgWZls1TKo+oXbs2V43JoNAeXE1KSlVqr2bNmoSFhVG/fv1Uxzh16hTr16/HYrFgsVjo0aOHvRyelpxS2c0Y85SjY1B5z86dO2nWrBlTdk+hcsnKdK3R1dEhKZXjcjWhFpEuwGeAE/ClMeZ/ad4fBLxie3kVGGWMCc3NGJVylHPnzuEOhPB3ob1KQAdgAtC7d2/Kli1rb9+7d+90x6hbty5169YFICEhgZkzZ/LLL7+QlJRE3bp18fHx4fr16yxevJjo6Oh0Nag3b97Mvn37EBG6du1KjRo10p1Da1grpTJz9epVDh48iP9j/kw5OYX/dvwvThYnR4elVI7LtSEfIuIEBANdgbrAABGpm6bZb0BbY0wD4F1gWm7Fp5SjjR8/nuoNGjBQJE2hPbjh5ES7du3sC7ZkhZOTE0OHDmXUqFEEBARw7NgxTp8+TUhICNWqVWPs2LFUq1bNvrT6xYsXCQsLIzAwkMGDB7Ny5Ur78JGUMttfKaX27t1LUlISp8uextXJlWcefMbRISmVK3JzDHUz4Jgx5oQxJg5YAPRK2cAYs9UYE2l7uR2ogFKFwLlz55g9ezarVq+m76hR9HFxoQjQx8WFvoGBhEdE8Pvvv9O0aVPGjBnDn3/+edtjigiurq6AdQJjcnKcWQ3qiIgIfH19cXZ2xsvLC29vb86cOZPuuFrDWimVmZ07d4IrbIjaQL+6/SjjVsbRISmVK3JzyEd5rENCk50Gmt+i/bPAjxm9ISIjgBEAlSpVyq74lHKY8ePHM3ToUMqVK8ek4GAmBQenazNy5EiuX7+Ok5MTdevWZfTo0bz44ov2etIZSUpKYtq0aVy+fJmmTZtSoUKFTGtQx8TEpKpxXaJECXslkJS0hrVSKjM7duygVLtSXIq7pJMRVaGSmz3UGa2znOG6myLSHmtC/UpG7+siAaqg2bVrFxMmTEBEMn1MmDCBsLAwJkyYwK5duzh+/Dg1a9bk888/Jy4uLsPjWiwWAgIC+Mc//sGZM2du2bOty+Aqpe7Vjp07SGicQMP7G9KyQsvb76BUAZGbCfVpoGKK1xWAs2kbiUgD4EuglzEmfQFdpQqgkJAQjDG3fSSPV65atSpff/01q1evZuXKlTzwwAPMnz+fwMAgXF29EbHg6upNUNAYAIoWLUqVKlU4duxYpjWoS5QoQXR0tD2mK1euZNj7rTWslVIZOX/+PH+YP4guGk1g08D0S5ArVYDl5pCPXUBNEakKnAH6Y51vZScilYDvgKeMMUdyMTal8qVGjRrx448/sn79ep58sj8XLwqwBPAnPn4tkydbJwRNmPAJJ06cwN/f316D2t/fP1UN6tq1a7NkyRJatmxJZGQkK1eu5MqVK4C1ekj79u1Zs2YNERERvP322zRt2pT77ruPOnXqEBUVxeeff07p0qUBqFChAj169EgXr1YIUarg2rVrFzQFNyc3BtYfePsdlCpAci2hNsYkiMho4CesZfNmGGMOikiA7f2pwP8BpYDJtt9sE4wxfrkVo1L5Vfv27YmKiseaTCcX3WsCDGDq1GnUq/cA9erVo1atWlSoUCHDGtRlypShXr16BAcHIyL861//ol69eiQmJvL888/j4eFB9erV+eCDD1iyZAmbNm3Czc2Nd955h5s3b+Lt7U1AQMAt40yuEOLv709ISAghISF06tQpJz8apVQu+WXHL1AXhjQcgruru6PDUSpX5WodamPMKmBVmm1TUzx/DnguN2NSqqCIj4+CVMvC3A+MJynpM9q1a2evT128eHGGDh2a4THatGlDmzZtUm1LSkqifv36lC1b1j5pcejQoTRr1oxDhw5RrFgxbt68maUYIyIiGDZsGGCtEDJr1ixNqJUqIFacWQFVYEyLMY4ORalcp0uPK1VAuLh4Yl0WJqUQLJYSdOzYkbZt2zJ//vx0ye+5c+fo0qUL58+fT7U9ybY644cffki1atVSVQAB2LdvHzVr1rS/joyMZOrUqcycOZNTp05lGKNWCFGqYIpPiOe493F8bvrwwH0PODocpXKdJtRKFRDDhw9CZCCkWBZGZCABAU/x+++/M2bMGL766isqVarEq6++yokTJwBryb6dO3cyfvz4VMe7VYWQTZs2YbFY7Eufu7u7M27cOAICAujcuTNLlizJcq+1Uir/m7F5BqaEoZdPr9s3VqoA0oRaqQIiOHgSo0b1xcWlD1AEF5c+jBrVl+DgSbi4uNC3b19+/vlnNm/eTEJCAs2bN6d9+/Z8+eWX/PTTT0yZPBlvFxcsIni7ujImKAhIXSEEYP/+/Rw5coQ+ffrYZ/E7OztTvHhxAHx8fPD29ubSpfRFerRCiFIF0+RdkyEGhrcZ7uhQlHIIye+1Z/38/Mzu3bsdHYZS+c7169d57LHH+PXXX7kSHY37tWvMxzoKey3wDNAvMJBPJkxg1qxZXLhwgcTERA4ePMiwYcPo1q0bGzZsYM+ePTg7O+Pi4kKnTp0oXbo0M2bMoGHDhhw6dAgRoWvXrtSoUYM1a9ZQvHhx+6TEqKgoLl++XGirfojInsI28Vrv2QXP8cvHqTGxBi5bXbj+o3XxKXVrIqK1//OpzO7b2kOtVCEVFRXFzp072bNnDy5xcczHWh/EheT6IDBj6lSmT59OzZo1+ec//4mXlxfNmjVj3rx5/Pe//2Xbtm20bNmSTp06YYzh559/5ttvv6VVq1YcPXqUwMBASpUqxbx580hKSsLf35/jx48zceJEjh8/DkC1atUYO3Ys1apVs9fZVkrlH1/s+QIMNKGJJtOq0NIeaqUKqXHjxgHw6aefYhHhJtZkOlk8UARISnOPiI+PZ8aMGXTv3p1jx47h6upKq1atUrXZvHkzAA899BAAX3/9Ne3ataNixYqp2k2aNIlhw4bh4eFBTEwMs2bNYsyYwlMhQHuoVX53Pf46FT6pQOT+SF6u9DIffPCBo0PKF7SHOv/K7L6dq2XzlFJ5w7lz55g9ezYHDx4EwNPFhZD4eHsFa7DWC/F0+TvFTkpKYtq0aVy+fJmmTZtSoUIFjh07xs6dOwkNDcXHx4dHHnmEYsWKERMTk6oqSIkSJexjp1PSqh9K5W+LDi3i8o3LsAOa9W3m6HCUchgd8qFUITR+/HiGDh1KuXLlABg0fDgDRVLUB7EO+egzZIh9n4yqfvj5+TF27FgCAgJwd3dnzZo1ANrzolQhMXnXZMpYysBv0KyZJtSq8NIeaqUKmbS90wCTgoMB6DN9OlHx8bgDFWrXZuOmEFxdvYmPj8LFxZPhwwcRHDzJXvUj5VCPJk2aMG/ePMDaI33p0iWmT59OQkIC27dvp1u3btStW5dFixbZK4Ds3LmTCRMm8MILL/DHH38QEhLC1KnWtZ50+XKl8rY9Z/ew48wO/P7yw1LWkq5WvVKFiSbUShUyaXunk00KDrYn1uPGjePnn38hPOwC1uXMHyQ+fgdTpgwjMTGRZs388Pf3JyYmxj5kIzw8nDJlygBQu3ZtFi9ezLBhw7h58yY3btwgKiqK06dP069fP/s5L1++bJ/EFBYWRtWqVXX5cqXyiSm7p1DcpThRG6Jo3ry5vYymUoWRDvlQqpDZtWsXEyZMQEQyfUyYMIGDB38De+2Pm8BvGPMk06fPonr16tSqVYtvv/2WunXr8sEHH3Dy5Ek6d+4MQJkyZfD19WX69OnMnTvXvh1g+fLlnD17FmMMFosFi8XCxIkT+e2336hevfpt44+IiKBhw4aAdfnyiIiI7P+QlFK3FHk9knkH5tG3Vl+OhR3T4R6q0NMeaqUKmayWphOxYK1KDXA/EADEk5Q0kVq1agHWXuXz589z4cIFXnnllVT7t2nTBn9/f6ZNm8b3339vn8iY/LXwqVOn8Pb2ZsSIEYC1jF9wcDBTp06lSJEidOjQgcqVK6eLSycyKuV4s0Nncz3hOi2dWzKHOZpQq0JPe6iVUhlycfHEWusjpRBEPKhbty7t27dn+vTprFixgtmzZ3P+/HkAxgQF4e3qikWE0kWLcvDAgQyXLz9w4AC+vr721+7u7jz//PMAXLt2jSVLlhAVFcWcOXOYOHEic+bM4fr16/b2mzdvZuLEiWzdutW+imNa169fz3R/pdTdSTJJTN41mVYVW3HpoHU+hJ9foar+qFQ6mlArpTI0fPggRAZCitofIgMZNWoIZ86coVixYtx33310796d+++/n9GjRxMUGMjiKVNYEh/PTWBJfDyLp0zh5RdfTLV8eVJSEuHh4akSamdnZw4cOMB9992Hl5cX3t7erF69Ot3CL25ubvz222+EhYXx1FNP0bp1a1auXElSUlK6a0geb60Lx+QcERkjIodF5KCIjHd0PCrnrTuxjqOXjxLoF8jOnTupU6cOnp6ejg5LKYfShFoplaHg4EmMGtUXF5c+QBFcXPowalRfgoMnER0dzfbt29m6dSvh4eE8+eSTfP/993w9ZQrzjKE9EAe0BOYZw9xp0zhx4gSlS5cGsD8vUaKE/Xznzp0jIiKCxo0bExsby6VLlzh79my68dK1a9dm1apV+Pr6cvDgQRo3boy3tzdnzpxJdw063jpniUh7oBfQwBhTD/jIwSGpXDB592RKFy9Nnwf6sGPHDh3uoRSaUCulbiE4eBJxcZcxJom4uMsEB08CUlcKKVu2LG+99RZjxozhKn+Pur4KzAIOAlEJCfaJjGAde12/fv1U55o/fz5nz57lm2++Yfv27fTo0YO4uDg8PDxYvnw5MTExxMbG2pcvX7FiBcePH8ff318XjnGcUcD/jDE3AYwxf96mvcrn/oj+g+WHl/Pcg8/x57k/uXDhgibUSqEJtVLqDiXXsf7nP/+Zavs///lP3Pl71HXyNMZ6gAfw448/smvXLowx9O7dGz8/P4KCxuDq6o2I8NJLr7Nhw0YGDx7Mfffdx9q1a9m+fTsLFizgkUcewcfHh+vXr/PJJ59w8+ZNXFxcKFWqVIY1qJPHTm/ZskXHTuesWsBDIrJDRDaKSFNHB6Ry1rQ90zDGMNJvJDt37gR0QRelQKt8KKXuUGZ1rMuVK0f1Bg0Y8OuvzMfaUx0CDBShS58+WCwWBg8ezI0bN3j88cf5/fc/WLp0C8YsAfZjzGp+/nkTAwcOokWL5pQtW5aOHTtSrFgxNm/eTIsWLShevDgeHh60bdsWgIceegiAK1eu2Hui4e+x04888ghly5YlJCSEFi1a4ObmljsfUgEiIj8DZTN46w2s/4d4AS2ApsC3IlLNpFkqU0RGACMAKlWqlLMBqxwTlxjH9L3T6V6rO1U8qzB552RcXFwICQlh27ZtNG7cGH9//1T7GGNYvXo1R48excXFhd69e6e7dyhVEGgPtVIqyzLrnU62avVqoosUoY+zM0WAPi4u9B01im8XLeL9998nIiKClStX4unpyXffrcGYeUATwBuYCrzIrl1h+Pn50bdvX2rXrk1MTAxXrlwhNDTUPmSkdu3ahIWFkZCQQGRkJJcvX6Z8+fL2OJLHTteuXdv+OjQ0lDp16uTo51MQGWMeNsb4ZvBYBpwGvjNWO4EkoHQGx5hmjPEzxvjdd999uX0JKpssDV/KhdgLBPoFArB9+3Z8fHwYNmwYQUFBHDhwgIsXL6ba59ixY1y6dIkxY8bw6KOPsmLFCkeErlSO04RaKZVlmfVOJytXrhwBo0YxbMwYkozhclycffVFABHB19eXt956C+wjrlcDnQABapGQcMXePnk1xJ07d3L8+HFatGhBZGQk3333HadOneLdd99l7ty5dOvWDYvFejtbvnw5586dw8PDA39/f86dO8eaNWvs461Vtvoe6AAgIrUAV+AvRwakcs7k3ZOp6lmVzjU6k5CQwK5du6hVqxZeXl44OTnh6+ubbuJv8i+3IkKFChW4ceNGhvMdlMrvdMiHUirLdu3axZYtW5gwYcIt27Vu3TrT98YEBfHN9OkIhmKU5RpPA08AJ4EjuLh4MXDgQAB2795Nu3btePLJJxEREhISGDduHMWLF+fs2bPMmzcPEWHXrl3UrFmTDRs2cPToUcLDw5k6dSodO3Zk6NChnDt3jmrVqjF9+nREhK5du1KjRo10sV2/fp1FixYRFRWFp6cn/fr1y3CMtrKbAcwQkTCshV2Gph3uoQqGsD/D2HRqE+MfHo9FLBwMP8iNGzdSlb4sUaJEumo7MTExlCxZMlWbmJiYVEO0lCoINKFWSmXZvdZxHhMUZK1TbQz+wGdc5t9M4CrnsE5d/IYOHazjovfv38+RI0cYOnQoIgJYa1U7O1tvWz4+PkRFRaVbTbFly5Y4Oztz48YNdu3aRdmyZQkNDSU0NBR/f3+io6N5/fXXWbBgAVeuXOHzzz+3l/O7ePEi7du3t/eMh4SE0KlTJ020M2GMiQMGOzoOlfOm7JpCEaciPP3g0wQFBfHFF18A8Nlnn3Hz5k2CU3wTlZL+fqUKCx3yoZTKNd9Mn26vU+0CvAQsJxF35gFzadOmMatXr+LYsWNs2bKFAQMG4OLiYt8/NjbWvoDLqVOnOHbsWIbDOIwxXL16FYDQ0FCaNm1KYGAgQUFBNGnShJo1a9p70ry9vQkICCAgIABPT88M61brAjGqMIu5GcOcX+fwpO+TvPXyW0yZMoXExETAukjTlClTCAoKSjc5GKw90tHR0fbXGbVRqiDQHmqlVK6Jio8nbfrrD8QCPXq0Jz4+HoBVq1aRkJDA119/DUCFChXo0aMHp06dYv369VgsFvbu3UtgYKC9p3j58uXExcVx7NgxDhw4gIuLC+Hh4TzyyCNUrVqVkiVL8umnnxISEkKJEiX46quveOGFF4iLi2POnDlERUUREhLCc889B8BXX33F4sWL2bx5M8eOHWPGjBkcPHiQHTt2sG7dOurVq2cv5bdo0SL27NnDpUuXaNy4MT179szSkBKsA8eVytP+jP2TZuWbEegXyENPPJSu19kYw7Rp0/D19aVPnz6p3qtduzY7d+7E19eXM2fOULRoUU2oVYGkCbVSKtd4urgQEh9P+xTbQgAPi4Vjx45x+PBhunXrRo8ePejSpQs1a9a0D/cIChrD9OnfEB8fhbOzB4880oY2bdpw8uRJAHr27MnVq1dZsWIFTz31FBs2bGDTpk3Mnz+fwYOtoxIiIyNp3749FStWpGbNmoC1B7tUqVLUq1fPXgKsU6dOXL16FU9PT+bNm8e7777Lxo0b6d+/P0OHDmX79u1/xx8SgpeXF3Xq1OGBBx7g8uXLrFy5kjFjxtgnSqZsW61aNfuQEqzjXJTK06p7V2fdkHUA9l9600pISKBevXqUKVOG3bt3A+Dn50fNmjU5evQoEydOtJfNU6og0iEfSqlcM2j4cAYA64F4258DRRgSEEB4eDjPPfccxhh27dpFhw4dqFKlCs8++yyPPNKFKVMWEx+/BLhJQsK/WLVqI/7+D7F48WJ+++03vvvuO86ePYuHhwfly5enfv369gohy5cvJzo6mnPnzlG3bl37187u7u72qiOdO3cmOjrangycPn2aypUr4+zsTLFixfD29iYuLs4+3jpZREQErq6u+Pr60qRJE86cOZPlpdCBojn4cSuV7VIOwUq7vU2bNoA1kfbz8wOslX26d+/O888/T2BgID4+PrkWq1K5SXuolVK55vU332T6l1/SJymJqIQEPF1cGDR8uL203r///W98fX05ePAgM2bM4PDhw/z888/MnLkYY74He9/2S0ATdu7sQ/WqVVgyfz7XEhMpbrHQqEULjh49yq+//srRo0d5//33ee+993jwwQc5f/4827dvZ//+/dSpU4eKFSsSHx+Ph4cHHh4e1KlTh0OHDgHYk/MvvviCS5cuUaVKFWJiYoiJiaFIkSL2a4qNjSUxMZGSJUvalzevVKlSlpZCRzs1VD4zfPhwpkyZkmrYh4gwfPhwB0allOPpzVwplWvGjx/PqMBALsfHZ1inuly5cgwZMoTx48cjItSpU4fRo0djTAxkMPo6Pj6SVXPn8kJiIjeBl5OSOLB1K98vXcrx48dp27YtL730EsOGDWPz5s328ZtvvPEGu3fvJjw8nIMHD3L27FkiIyMpVaoUsbGxTJw4kYoVK/L888/bV3fcu3cvYB0ikrYOt1YyUIVFcHAwo0aNsvdUu7i4MGrUqEyrfChVWGgPtVIq19xtHWsXF0/i40Mgzehrd4RvMfatbwFtgD5bt5JYvDgNGzbC1dWb+PgooAg9enRizJgxgHU89d69e7lx4wYLFy5k+bJl7AkJISYxkQ0rVlCncWMefvhhmjVrRvfu3ZkyZQqLFi2iSpUq9vHXAG5ubjg7OxMdHU1MTAxubm6ZVjJwc3Oz1+C19WAn3dEHqFQeEBwcrAm0UmloD7VSKteEhIRgjLntI21ZuuHDByEykJSjr0UGEovJsGpIVEICFosTmzcfsY+7hmWsWLGDoKAxxMXFcfz4cZo3b87w4cMJ2byZiE2b+E9iIquABfHxHN2xg88mTODatWscOXKE+vXr869//YuhQ4fi6upqP1/t2rWJi4sjLCyMPXv2UL58+XRLoadsGxoaCpD8543s+myVUko5jvZQK6XyvODgSQBMn96H+PgoXFw8GT58EPOnf5Fh1RA34MqVJGAef/dqNwUGMHnyVGbPnomTkxPOzs4YY7gWGclwoCTQDmuWOwiYunkzQ4YMoXz58owePZrDhw/z448/smfPHo4fP06tWrXo06cPixYtIjw8nJCQEJo0acKjjz6aail0Pz8/fHx88Pf3Z9GiRezduzd59Thdg1kppQoAyc2xfyLSBfgMcAK+NMb8L837Ynu/G3ANGGaM2XurY/r5+ZnkWflKqcIleeXFebaVF0OAAUC5Bg3Y/+sBrD3TKasSxANF+PPPC/ZyfCLCfaVLZ9ISknLwHikie4wxfjl2gjxI79lKWe87Ovcif8rsvp1rPdQi4gQEA52A08AuEVlujDmUollXoKbt0RyYYvtTKaXSSZ7Q2Gf6dKLi4/F0duaaxcK+1aupXLlehuOuwZ3ExETKli1r35pZfWzPTEqEKaWUUinl5hjqZsAxY8wJY0wcsADolaZNL2COsdoOeIpIubQHUkqpZJOCg7kcF0eSMQwdPZpRgYGUK1cu03HXDRpUZ/z48amOMWj4cAaKpKuPPUhLgSmllMqCXBvyISJ9gS7GmOdsr58CmhtjRqdoswL4nzEmxPZ6HfCKMWZ3mmONAEbYXvoCYblwCdmhNPCXo4PIovwUK+SveDXWnFEaKAW4p95swVpMI/lPAK4Ch9PsX9EC9yWBWMAkwUXgjxyO180Yc18OniPPEZGLwKkUm/LTv7GcUJivX6+98MrP1185o/t2bk5KlAy2pc3ms9IGY8w0YBqAiOzOL2MQNdack5/i1Vhzhi3WKo6OI6vyW7zZJe1/RPnp31hOKMzXr9deOK8dCub15+aQj9NAxRSvKwBn76KNUkoppZRSeUZuJtS7gJoiUlVEXIH+wPI0bZYDQ8SqBRBtjDmXizEqpZRSSil1R3JtyIcxJkFERgM/YS2bN8MYc1BEAmzvTwVWYS2Zdwxr2byns3DoaTkUck7QWHNOfopXY80Z+SlWyH/x5pTC/jkU5uvXay+8Ctz152odaqWUUkoppQoaXXpcKaWUUkqpe6AJtVJKKaWUUvcg3yTUItJFRA6LyDEReTWD90VEJtre/1VEGjsiTlsst4u1johsE5GbIvKSI2JMEcvtYh1k+zx/FZGtItLQEXHaYrldrL1sce4Xkd0i4u+IOFPEc8t4U7RrKiKJtlrtDpGFz7adiETbPtv9IvJ/jojTFsttP1dbvPtF5KCIbMztGFPEcbvP9eUUn2mY7d+BtyNidTQRGWP7rA6KyPjb71GwiMhLImJEpLSjY8lNIvKhiETY7t1LRcTT0THltKz+31DQiEhFEVkvIuG2n/PnHR1TtjLG5PkH1kmMx4FqgCsQCtRN06Yb8CPWWtYtgB15ONYyQFPgPeClPP65tgK8bM+75vHP1Z2/5wU0ACLy8mebot0vWCfk9s2rsQLtgBWO+jzvMFZP4BBQyfa6TF6NNU37R4FfHP0ZO+izag/8DBRx5N+ZA6+/ItYJ+6eA0o6OJ5ev/RHA2fb8A+ADR8eUw9d7R/eFgvQAygGNbc89gCMF6drzSw91flq2/LaxGmP+NMbswrrKsSNlJdatxphI28vtWGuDO0JWYr1qbD+pgBsZLAqUi7LybxZgDLAE+DM3g0sjq7HmBVmJdSDwnTHmd7D+vOVyjMnu9HMdAMzPlcjynlFYV8m9CQ79O3OUT4F/4th7lkMYY9YYYxJsLx35f0xuyU/322xljDlnjNlrex4DhAPlHRtV9skvCXV5Ui8BfJr0fwlZaZMb8kocWXGnsT6L9VsAR8hSrCLymIhEACuBZ3IptozcNl4RKQ88BkzNxbgyktV/By1FJFREfhSRerkTWjpZibUW4CUiG0Rkj4gMybXoUsvyz5eIFAe6YP3lqjCqBTwkIjtEZKOINHV0QLlFRHoCZ4wxoY6OJQ94Bsf9H5Nb8lOOkGNEpArwILDDwaFkm9xcevxeZNuy5bkgr8SRFVmOVUTaY02oHTUuOavL0i8FlopIG+Bd4OGcDiwTWYl3AvCKMSZRJKPmuSYrse4FKhtjropIN+B7oGZOB5aBrMTqDDQBOgLFgG0ist0YcySng0vjTu4FjwJbjDGXczAehxKRn4GyGbz1Bta/My+sw/WaAt+KSLUU3zjla7e59texDnsosG51/caYZbY2bwAJwDe5GZsD5KccIUeIiDvWzoMXjDFXHB1PdskvCXV+WrY8r8SRFVmKVUQaAF8CXY0xl3IptrTu6HM1xmwSkeoiUtoY81eOR5deVuL1AxbYkunSQDcRSTDGfJ8rEf7ttrGmvOkZY1aJyGQHfbZZvRf8ZYyJBWJFZBPQEOt4vdx0J/9m+1PAh3sYYzL95VZERmEdpmOAnSKShPVn4mJuxZeTMrt2EakPVAVCbfeBCsBeEWlmjDmfiyHmqFv93QOIyFCgB9CxoPwSdQv5KUfIdiLigjWZ/sYY852j48lO+WXIR35atjwrseYVt41VRCoB3wFPOaCHL6WsxFpDbP8ribXKiyvgqF8AbhuvMaaqMaaKMaYKsBgIdEAyDVn7bMum+GybYb13OOKzzcrP1zKswwecbUMpmmMdq5fbsnQvEJGSQFuscRdW3wMdAESkFtafXUf8IpyrjDEHjDFlUtwHTmOdtFVgkunbEZEuwCtAT2PMNUfHkwvyU46QrWz/h3wFhBtjPnF0PNktX/RQm5xbttwhsYpIWWA3UAJIEpEXsM50zdWvPrL4uf4fUAqYbMunEowxfrkZ5x3E2gfrL1XxwHXgSUf1dmQx3jwhi7H2BUaJSALWz7a/Iz7brMRqjAkXkdXAr0AS8KUxJiwvxmpr+hiwxtajXljNAGaISBgQBwwtBD2VyupzoAiw1vZ/zHZjTIBjQ8o5md0XHBxWbmkNPAUcEJH9tm2vG2NWOS6k7KNLjyullFJKKXUP8suQD6WUUkoppfIkTaiVUkoppZS6B5pQK6WUUkopdQ80oVZKKaWUUuoeaEKtlFJKKaXyLRGZISJ/2ioFZcfxPhCRMNvjyazsowm1UkoppZTKz2YBXbLjQCLSHWgMNMK6jsHLIlLidvtpQq2UUkqpQktEeovIdBFZJiIFehn4gsoYswm4nHKbbbXk1SKyR0Q2i0idLB6uLrDRGJNgWx8glCwk65pQq3xNREqJyH7b47yInEnx2lVEEm3Pw0TkBxHxTLGvEZGvU7x2FpGLIrIizTm+EJHWtvYfp9j+koi8bXt+z+dRSil190TkcxE5daf7GWO+N8YMB4YBWfp6X+UL04AxxpgmwEvA5CzuFwp0FZHiIlIaaE/q5eIzpAm1yteMMZeMMY2MMY2AqcCnya+NMXHAddtzX6y/vQal2D0W8BWRYrbXnYAzGZymObAduAk8bvsBSys7zqOUUuouiEhVoB3gKiIed3mYN4HgbAtKOYyIuAOtgEW2VRm/AMrZ3ns8xfjolI+fAIwxa7Cuvr0VmA9sAxJud05NqFW+ISJVRCRCRGaLyK8islhEit/BIbYB5dNs+xHobns+AOsPT8pzPgAcMcYkYv2BmgaMy+7zKKWUAhFparu/FxURNxE5KCK+Wdj138B/gENAvRTHW2TruQ4RkVMi4i8ic0TkiIh8ZWsjIvIB8KMxZm+OXJjKbRYgKkUHWyNjzAMAxpjvjDG+GTw6J+9sjHnPtk8nQICjWTmhUvlJbWCaMaYBcAUIzMpOIuIEdASWp3lrAdBfRIoCDYAdad7vCqxO8ToYGCQiJbP5PEopVegZY3ZhvX/+BxgPzDXG3LJyg4jUA3yBhUA4KRJqoD5wwhjjD8wGvgJesbV/XESKAGOAh4G+IhKQvVekHMEYcwX4TUT6gf2XpoZZ2VdEnESklO15A6z/Z6+53X6aUKv85g9jzBbb87mA/23aF7N93XMJ8AbWpnzTGPMrUAVrr/GqDPbvTIqE2vZDOgcYm13nsfXCzLZNihl0m+tRSqmC7h2sQ+P8sCbVt/Me8C9jjMGaUPsC2DowPIEJtnbXga+MMedsQwKvAXHGmInGmCbGmABjzNRsvRKVK0QkeWhGbRE5LSLPAoOAZ0UkFDgI9Mri4VyAzSJyCOu30oONMbcd8uF8d6Er5TDmNq/Tum6MaWTrUV6BdWzzxDRtlgMfYR1/Vyp5o204iacx5mya9hOAvcDM7DgP8Diw2Bjzg4gsBL65zTUppVRB5g24Y01simKdh5IhEWmOteOjkYgE29r/anu7HrDXGJNke90QmGLbrwJw1paEq3zOGDMgk7fuuJSeMeYG1kofd0R7qFV+U0lEWtqeDwBCsrKTMSYaa6/ySyLikubtGcA7xpgDaba3B9ZncKzLwLfAs9l0ngrAH7bniVm4HKWUKsimAf/C2rnwAYCIrBORtHNTAN4HehhjqhhjqmBNmpPHXNfHWrEhWQP+TrYbpniu1D3ThFrlN+HAUBH5FWsvxpSs7miM2Yf15to/zfbTxpjPMtgl7fjplD4GMqr2cTfnOY01qQb9mVRKFWIiMgRIMMbMA/4HNBWRDkAN0tcZ7gQUMcasS95mjLkAuImIN9aEer+tbVGgmDEm0tY0ZXKt1D0T/bZD5RciUgVYYStNlxvn2ws0N8bE5/B53IDPgRtAiDFGh3wopZSNrcrHM8aYfzg6FqUyowm1yjdyO6FWSimllMoKTaiVUkoppZS6BzpeUymllFJKqXugCbVSSimllFL3QBNqpZRSSiml7oEm1EoppZRSSt0DTaiVUkoppZS6B5pQK6WUUkopdQ80oVZKKaWUUuoeaEKtlFJKKaXUPfh/emTb6hKUE5wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "specimen=site['hw126a2']\n",
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "specimen.plot_arai(ax[0])\n",
    "specimen.plot_zijd(ax[1])\n",
    "ax[0].set_title('Arai Plot')\n",
    "ax[1].set_title('Zijderveld Plot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data for this specimen do not follow a straight line. Although the line slope appears to start out at a reasonable value, it quickly becomes shallower at higher temperatures. If we were to fit a line to these data we might end up with an underestimate of the paleointensity, and there is no reason to suggest which temperature range to pick for our intensity data. Some strict selection criteria might exclude this specimen, others might include it, but could include an incorrect temperature range, which could give a biased paleointensity estimate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The BiCEP method- accounting for bias\n",
    "\n",
    "BiCEP works differently. It fits a circle to a scaled set of paleointensity data and uses the tangent joining the circle center and the origin. BiCEP generates many circle fits from a probability distribution. Let's look at the circle fits that BiCEP samples from the posterior distribution, and the median tangent which we use to fit the line. BiCEP fits are performed at a site level for a reason which will become apparent later. We can use the method `site.BiCEP_fit()` to fit the BiCEP method (this may take several minutes depending on the speed of your processor and memory available) and plot the circle and tangent fits to the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:53:27.580558Z",
     "start_time": "2021-06-10T18:53:04.818682Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pystan:938 of 60000 iterations ended with a divergence (1.56 %).\n",
      "WARNING:pystan:Try running with adapt_delta larger than 0.8 to remove the divergences.\n"
     ]
    }
   ],
   "source": [
    "#There is also a model_circle_slow which fits these circles using a slower model,\n",
    "#use this if you are having problems with sampling.\n",
    "site.BiCEP_fit(model=BiCEP.model_circle_fast)\n",
    "#This cell may generate warnings from the internal pystan code. \n",
    "#The main error to watch for is one about R_hat, which indicates the sampler hasn't converged, a \"bad\" run"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use the `specimen.plot_circ()` method to draw a circle under the Arai plot data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:27:31.276759Z",
     "start_time": "2021-05-15T15:27:30.582003Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Q8ybUX2lQ07fmRXnvuXPnOhd3bcCZ0ZyRmppKw4YNiY6Opn793+qK7Nq1Cx8fH2bPns22bdv4+eefsdlsZGRkkJ6eTp06dQDIy8tzJddRUVEcPnwYgPj4eKnwcZmozCofg7TWtbXWHlrrCK31u1rr2Vrr2Wde11rrMWd222qjtd7yR+c833WjruOGh29gWt9ppBx2bj1eSCEppJBXkkeuzuVE8YlS9amFEEIIUT2sWrWKbt260a9fPwoKClj04SKe/+h5Xkp+idP3asLbhjO552RyXs5B/6zRBX9+Wsf5xowZg8ViQSlFiakEogALYPutjc3mfLJz507X4sKpU6eSnJzMxIkTiY2NZeDAgSQnJ/PWW2/xwQcf0KdPH4wzc7j37NlDUpJzFmxMTAxpaWlMnTqVw4cPS4WPy8TltCjxLzHO+50g5oEYTB4mpt82nVGfjaJWs1rkkUcqqZjsJsyYSbAl0MDcwPUXVQghhBBV15YtW/jXv/7Fjz/+SJ06dZj19iy8O3nz6vpX2fXJLiKDInm779sMixqGp9nzor3vmDFjmDVr1m9rtNoCvwA/l25nMplITEzk008/dS06HDduHABr1qxh+/btKKWoV68egwYNIjw8vFT/du3a8dVXX1FUVISnpyddunRx9ReXhyqfUZox40npH44uQ7twy79vYWb/mSTvcU7DziSTNFsaOfYcMuwZnLKfKu90QgghhKgi9u7dyx133EHHjh3Ztm0br098nX9++k8mFk5k2JfDcGgHH/T/gP1j9zOiw4iLmkyDc4pHqYIH7YAAILt0u759+1K/fn1uvfVWxo8f7zp+9OhRfvnlF0aPHk3fvn1Zv349AQEBZd6nqKgIu93OuHHjsNvtFBfLN+2Xm2oxQl2TmiSTTAklruOd7u6E2cPMrAGzGPHJCCLaRJBBBh42D0zKOVLtZXgRaAp0X/BCCCGE+NOOHTvGCy+8wMKFC/H29uafz/8T/+v8mbptKok/JBIdHs3nPT/ntma3YahLN3ZYUvJb3kFDwB/45rdDSinuvfde7rvvPjZs2MBNN91Uqv+aNWs4dOgQc+fOxTAMunbtSnp6Oj4+Pixbtozo6GjCw8OxWCwYhsHUqVOxWCyunRXF5aPKJ9QOHHgZXtR01CSBhFKvtR/QHpOHidl3zGbE4hHUu6oeqaTiYfPArMwklSRhVVashtVN0QshhBDiQp06dYr//ve/zJ49G6UUsY/GEnBTAHN3zSX151SurX8t8/vN56bIm1CqvO0tLi4PD4/fkuqOOL/3PwmGYfDyyy/TsWNHevTowapVq7BarWzevJnExERX/5CQEO677z7atnUWwf7yyy9dtafPzrUGZ+IeGxvrev7aa69d8msTf06VT6gNZVCkivBVvtTStTjJyVKvR90WhcnDxJy75vDABw/QsFNDUnQKpmITZk8zJ0pOEOkRickwuekKhBBCCPF7MjMzmThxIlOmTKGwsJC7H7ibwF6BvL//fbI3ZdOnSR/+FfMvutXrVqlxPfTQQ8ycOdM5Mt0cWAfYIXZ0LI899hiLFy/m9OnTREdH0717d5RS/O9//3P1l/0xqo8qn1CbMWNVVgqNQgIcAdi0jVRK15tu3bs193jcw7tD3uW+BffRqGsjUknFbDNjVmYSbYnU9ahbKb/NCiGEEOLC5OfnM23aNF5//XUyMjK49Z5bCbwlkE+PfErhL4Xc0fIO/nXNv2hXq517A+2Ac+vFrb8dslqtNGjQgEOHDtG1a9ffmnbo4Prz79WePpePjw85OTn4+flJ7enLVJVPqK2GlUBzIBm2DIqMIkIcIdi1nQwySrVrcVMLhs4dyvzh8xn6zlCadm+KyW4qNZ86zBzmpqsQQgghxFnFxcW8++67vPzyyyQnJ9P99u4E3xbMNwnfoA9phrQdwjPdnqFZaDO3xjl37lznNA8zzt00Mn47fsstt7Bo0SKaNGnC/v37GTRoEFarlU2bNgEwe/ZssrOzOXr0KF26dCEnJ6dU7elztxs/ceIEmzZt4sYbb5Ta05epKp9QGxi0srTiF8cvZDmyKDKKCNNh2B12ss9bZtv02qYMnz+cBfct4J5Z99DixhaYbWZMOBNrT+WJv8nfTVcihBBCXNnsdjsfffQRzz//PEeOHOGqXlfR8t8tWZmyEo9ED0Z0GMGTXZ+kfmD9Pz5ZJSgpKYGWwNXAJ6WPb968mQcffJDrr7+e559/nieffJKWLVu6FhSenRO9evVqZsyYgWEYpWpPv/HGG7Rt25ahQ4fy008/8f3337N7924CAgK48847K/lKxR9RVX3+TnR0tN6yZQu59lx2Fu4k05GJTdtQDsVJfZI88sr0ObLhCPOGzmPQtEG0ubkNNahBbUttwkxhNLQ0lEWKQohKoZTaqrWOdncclensPVuIc53d3fC5555j165dNL6uMcG3B7MpcxO+Fl9GR49mfJfx1PKt5e5QS7FYLJTcU+IslTcVOJNSmc3mUhVA9u7dy549exgwYACZmZkEBQX94fzpadOmMXz4cNc0jwULFvDwww9fuosRF6Si+3aVr0N9lq/Jl5aeLQkwAjApE9qkqUlNrJRNjiM7R/LQRw/x0biP2PH1Dk5zmtTiVDLtmRwvOY7NYSvnHYQQQghxsa1cuZKuXbty++23kxGYQasJrTh03SEOFR3ipete4vijx3m9x+uXXTINMCB2ADQANuNKpgFGjBhRqt327dtp0qRJqWOzZ89m/vz5HDt2rNxzn7vduJ+fH3l5ZQcIxeWj2iTUAAHmAJp5NiPQCMSMGW3S1KAGFixl2tbvUJ+Rn4xkyRNL2PLZFk5yktO202Q7skm0J8rKWyGEEOIS2rx5Mz179uSGG2/ggDpAw1caknhTIulGOpN6TuLYo8f497X/JsgryN2hlmvMmDF8fORj5xbjO5zHzGYzN9xwA88//7yr3erVqzEMgzZt2gDg6+sLOKd83HzzzSxdupSioqJKjl5cbNUqoQYINgXT2NKYQCMQD+WB2WQmlFA8KFsEvW5UXUZ9NoovnvuC9Z+sJ9mRTHJxMhm2DE7bTrsheiGEEKJ627t3LwMGDKDT1Z1Yn7Oe2i/WJv3mdPCB2bfM5sgjR3isy2P4WnzdHWqFxowZw8x3Z6LbatgN5Ds3cRkxYgT//ve/OXToEAA7duzgwIEDDBgwwFVJzGz+bflaeHg4wcHBpKWllXmPs5U9AKnsUQVU+UWJ51NKEWoORSvN0eKjpNvTsZqshNhDOM1pHDhKtQ9vGc7oz0Yza8AsbMU2rh9yPZYSC4Yy8DQ8ZSdFIYQQ4iI4evSoc3fDRQuxdLIQ/Hww6aRTL6QeE2ImcHfruzEbl39aYrPZePvtt6EOEA9sdB7XWjN79mwyMjJo164d/v7+rF27luHDh7Nhwwa2b9+OUoprr73Wda6MjAzS0tIICgoqVdUjMDCQBg0aEB8fT0xMjFT2qAIu/7+5f4GhDEJNoTg8nMlzhj0DL7MXobZQTlN25LlW81qM+XIMM/vPxF5ip+d9PTGXmDFjxqIseBvelX0JQghx2VNKDQReAFoAnbTWstrwCtfAZOKYw1HmeD2lSLKa0O01Pv/yIdfIpXXt1rxzzTv0a97vkm4PfrGZTCbsdjvcgnO6xzmDyw6Hg5EjR2IymZg5cyaNGzdm5syZbNu2jbvvvpvu3bszYcIEAGbNmoVhGPTt2xcvLy9+/PFHkpKSGDp0KEeOHCEjI4PDhw+zbds2qexRBVTLhBrApEyEmEPQaBSKTHsm2qwJtjl/Iz5fjcY1GLtsLDNun4Gt2EbfkX0xn/lfA0sDLEbZedhCCHGF2wX8A3jb3YGIy8Mxh4PzVyBleUJgJ431OjOFpkLa12/Ps9c8S4/IHlVyQzWlFKaGJuw17fBl6dfMZjPXXnstOTk5bN++nYcffpg1a9bQuXNnrrnmGgBatmwJwKhRo0r13bdvH2PGjMHPzw8/Pz+p6lHFVNuEGsCiLASbgl1JtXIoMIO26TIbvwCENgzl4a8fZka/GdiL7PQf1x+zYcZkM9HA3EC2JxdCiHNorfcCVTIpEpdeijdM6QzTOwFWuL7x9fzrmn8RUy/G3aH9LQ6HA4+uHtjX251TPs5xtrrHuVU5cnJyiIiIcLXx9y9/vwup6lG1VeuEGpw7KQYQgEJhlBjgAEzgsDvIIqtM++C6wTz81cPOkeoSG3c+ficmnJu+1FF15B8OIYT4k5RSI4ARAPXq1XNzNOJSS/CHiV1hTgcoNMOAPfDpGvg2+Vt3h/a3jBkzhrlz51JiKYHHwKfQhyKjCJvDhtlsJjo6mhkzZpTpJ1XDrgzVPqEG8DV8sWs7tT1qo2wKhcKhHTgcDnLIKdM+sE4gY78ay8zbZ2IvtnPPM/dgNsxYsFDDo4YbrkAIIdxDKfUTUF4B4Ge11l+Wc7wMrfUcYA44N3a5iOGJy8ih9ENwK0S2A4eCIb/AM3HQPBWq+lDUmDFjmDVrljM57gyYIO/nPEaPGM3AgQOxWCxs3bqVnJwc10YsZ6ty+Pv7k5X12wBednZ2ue9xtqrH+f1F1VB1VgFUYP/+/axateoP2/kb/lgNK7XMtQgzhRFgCiDQCMSX8svyBNQKYOxXY/nlm19Y+NJCDhQcINGWSIa97FQRIYSorrTWN2mtW5fzuKBkWlR/O0/tZPDSwTSb3gyi4KGtcGgqLPjCmUxXB3PnznUm0wpoCxwEUmHOnDkcOXKE0NBQmjVrRny8cw7IuVU5mjVrxq5du7DZbGRkZJCeXnYd19l25fUXVUOVT6hLSkq44YYb+Pe//43NVvEOh0opAo1ALIaFMHMYoaZQAk2BBBlBeOFVbh+/MD/GLhvLvpX7eOfZd9hfsJ+jxUfJtedeqssRQgghqoRNiZvot7gfbWe35asDX9EqqxW1p8DMb6FhpjP3PPuob1TtdMO1jXhTwAtY4Xxqs9lo1KgRTZs2JSYmhsOHDzN16lQOHz5MTIxzrniNGjVo1aoVM2bM4IMPPqBPnz6u8y5btoykpCSACvuLqkFV9bk97du31+3atWP+/Pl07dqVDz/8kPr161fY3qZtZNgzKNElZNozSbGnkGpLJc2RRgEF5fbJz8xn9h2zaXBVA8a+PpamPk1pZmmG1Si7rbkQQlwopdRWrXW0u+P4q5RS/YFpQBiQCezQWt/8e32io6P1li1SXa+q0lqz6ugqXlnzCit+XUGQNYhHrn4ExwYHL/3zJZ577jlefvlld4d50Xl4eDgH7ToCfsBKQDtL6E2fPh2AwsJCrFYrsbGxZGZmMn36dEJDQwGIiIigb9++rvMppdBal6k9PXDgQLy8yh/kE5eHiu7bVftXRsAwDObNm8eHH37Izp07GT9+/O+2NyszgaZA139rmmoSag4l2AjGSvkJsnegN6M+G8WJnSeYMn4Kh/IOcaDwAMX24ktxSUIIUSVorT/XWkdorT211jX/KJkWVZfWmq8PfE3XeV25YeEN7E7ZzRs93uDYo8doldqKl/75EnfffTcvvfSSu0O9JK677joIxFl7ugTO1gYcOXIksbGxxMbG0qJFC1q0aOHqExwc7Hrt3GT6XHFxcURGRjJu3DgiIyOJi4u7xFciLpUqn1CfNWjQIHbs2OH6TTE1NZX8/Pxy23ooDwKMAEzKhL/Jn3BTODXMNQgxQipMqr38vRi5ZCSnDp9i4sMTOVxwmAPFB7A77JfsmoQQQgh3O5B2gHZvt+PWj27lZO5JZvaZya+P/MoTXZ9gb/xe7r33Xrp06cL8+fOrZSUsrTWZmZlYYixgB3Y4R6bvueceV1UPrTW7d++mdevWf+rc+/btIyoqCoCoqCj27dt3kaMXlaXaJNQAkZGRhIeHo7Vm8ODBdOzYkZ07d5bb1tPwxM/ww6RM+Jn8CDeHU9Nck2AVjCee5fax+lkZ8fEI0pPSeXXkqxzOO8zeor2SVAshhKi2IvwjCLQG8t7t7+F44hijO43Gy8MLpRRXX301hYWFJG3ciNVaPadBrlixgi07tmDuaGZgm4FkHM/gjTfe4N1333W1OX78OL6+voSEhLiOZWRkMHv2bObPn8+xY8fKPbfUnq4+qlVCfZZSiieffJL09HQ6der0W6mb83gb3ngb3iil8DV8qWOuQ22P2gQbwVgof2dETx9PHvzwQXIyc3jx/hc5lH2IAyUHsGtJqoUQQlQ/3h7e/Dz8Z4ZGDeW4TaOhzKO87carujFjxmCxWOjRowe0hnydz0NRD/Hxxx/Tq1cvPD1/G3zbuXNnqdFpX19fxo8fT2xsLDfffDNLly6lqKjIHZchKkm1TKgBevToQXx8PNdddx2jR49mwIABZGSULXnnZ/hhVVZXUl3Xoy7hpnBCjBDMFZTptnhZePCDBymxlfD8fc9zMPMgB4sOYtPlVxn58ssveeONN5g5c6brWEFBAQsXLmTq1KksXLiQgoLfFkSuWbOGqVOnMm3aNA4dOlTuOX+vvxBCCCH+urN1p13VPToCp+C10a/Rtm3bUnOlHQ4He/fuLZVQm81mvL29AQgPDyc4OJi0tLQy73O29jQgtaeruGqbUIOzVM0333zDpEmTKpz6Ac4a1RZlQSuNt+FNfUt9wk3hhBlhFSbVZk8zw+cPR5kVzw55lgNZBzhSdIRiXXahYrt27RgyZEipYxUtREhJSWHXrl2MHj2aIUOG8M033+Ao5zd/WcgghBBCXBquutMA4WceP8LPq36mS5cupdqerUN97pbieXl5rn+7MzIySEtLIygoqMz7SO3p6qNaJ9TgrALy2GOPsWvXLoKCgiguLmbWrFmlalafrVHtoTxw4MDL8KKhpSF1zHUIU7+TVFvMDH13KBZ/C8/c9Qz7Mvfxa/GvFDoKS7WrX79+mTI4FS1E2LdvH61bt8ZsNhMUFERwcDCJiYll3lsWMgghhBCXhmtkGiAE2AX8Cna7nQEDBjB48GBeeuklDh48yK5du2jTpk2pb5dXr17NrFmzmDVrFp988gl9+/bFy8uLgoICHn30UQAWLlxIhw4dpPZ0NXFFbD0OuOY6LV26lNGjR/PRRx+xaNEi6tatC/yWVGc4MrBpG94mbxrRCABdrDnNaRyUHSk2mU0MeXsIix9ezFN3PMWETyZAMNS11MXb8K4wnry8PHJzcxk4cCALFixwLUTIyckhIiLC1c7f39/1ddD5/WUhgxBCCHHxmc1m58CbF9AH+AqwO6t7PP7443Tt2tXVtkmTJqSkpPDpp58yevRocnJyWLhwIQ8//DDGeRvaxMXFcccdd/DWW28RGRnJtm3bGDZsWKVem7g0qv0I9fkGDRrEwoUL2b59O1FRUXzxxReu1wxlEGgEYlIminUxVpOVJpYmRFgiqElNjAo+LsNkcPf0uwmJDOGJ/k+wL3UfJ4pPkGMvmwifa8KECWzatIkJEya4jlX1jXaEEEJUX/UNo9QOiNVlJ8Tz9e/f3/mHdjiT6gTn04rqScu3y6J6/QRcoHvvvZdt27YRGRlJ//79ef31112vmZSJQCMQA4MiXYTVsNLCswV1LHV+P6k2DO548w5qtanF0KvupbNfKwLM/gRbPBg7ZkyZ9jabjQULFrBixQoWLFiA3e6sEuLv709WVparXXZ2tmsk+lyykEEIIURlO2q3o7Uu8zhqr16VrgoLC/GweDgXIx4EI9dg5MiRPProo2zatIlZs2bx5ZdfugoC5OTkEBAQ4Oov3y5feSo1oVZK9VJK7VdKHVJKPVPO6wFKqa+UUvFKqd1KqfsuVSxNmjRh3bp1PPXUU9xyyy2lXju7i6JCUaAL8DA8aOXZighLBDWogQlTued0frXjwCs1h89sdoqApSU2ls6axRNPPF6q7bZt2+jRowdXXXUVN910E9u2bQOcCxR27dqFzWYjIyOD9PR06tSpU+a9ZCGDEEIIcfGcLZOnlOKrr74i8qZI8If7I+9n165dzJ49m+joaMaNG0dsbCy+vr4sX74ckG+XRSUm1EopEzAD6A20BAYppVqe12wMsEdrHQVcB0xSSpVfEPoisFgsvP76665SN6NHj2bOnDlorZ27KZoCUCjyHfmYDTOtPVtTz1Lvd5PqX95bz0fA9YDHmf+O1JoP5y/gdMppJk+ezA8//MDKlSvp1q0bU6dOpVu3bqxcuZKTJ09So0YNWrVqxYwZM/jggw/o06ePaw7WsmXLSEpKAiAmJkYWMgghhBAXQZkyecB+3/147PJgaI+hrjJ5vr6+GIaBUooOHTq4pnXIt8uiMhcldgIOaa2PACilFgP9gD3ntNGAn3LuXeoLpAPlF3e+yAoLCzl06BCzZs3ixx9/ZM6cOQQFBeFv+JPlyCLPkYev4UsbaxtQoIoUpziFndJfc2XbHJyf2j4LvORwMPLZkYSZwnjysScZPnw4jzzyiKvN0aNHmTBhApMnT6Z79+507969TIy33Xab68/e3t6ykEEIIYS4CEqVyQM4UwHPdszGtddc6zqck5PjSpT37t1LjRo1AOe3xkuXLqVLly7k5OTIt8tXoMpMqOsAJ855ngBcfV6b6cAyIAnwA+7SWpcpraGUGgGMAKhXr95FCc5qtfL9998zceJEnn32WTZt2sRHH31E165d0WiyHdnkOnLxM/xo69nWOZe6CE5yslT1D3+zQZzNwfXnnDsO8DcZZNgySE5K5r333mP37t2l3v+pp56idevWPPXUU9SqVeuiXJMQQggh/lipMnkArYFToPdqZs+eDcCNN97Izp07OXnypLMyWGCga5Hiud8uG4ZR5tvl6OhowsPDiYmJYcmSJQAcPnyYO++8s9KuUVxaqrLm/SilBgI3a60fPPP8XqCT1vrhc9rcAXQDHgMaAT8CUVrr7IrOGx0drbds2XJRY924cSODBg0iOzubo0eP4uvrS74jnxyH82saf8MfA4P4wniOFx8nWSe7kuqlTy7h4Ly1fKghBmcyPQjI9vFkyLihFOYU4qE8mDFlBlbDWup9x48fj1KKyZMnX9TrEUJcnpRSW7XW0e6OozJdinu2EH+Xh4fHb/tTKJz/cGswfWJiypQpmEwmgoKCuP3227FarWRmZjJ9+nRCQ0MBiIiIKLcCSEFBAUuWLCEzM5PAwEAGDhyIl5cXSimZd11FVXTfrswR6gSg7jnPI3CORJ/rPuA17fxbdkgp9SvQHNhUOSE6XX311Wzfvp3du3fj6+uL1prc1Fx8Q33JdeSS7cgmwAignbUdCoUqUSQ6EtFoBrwxkKVA//fWk21z4G82aDusC32e6Mucu+ZwYu8JvvnlG5JsSdQw1cDX5Ot6XxmlFkIIISrf8OHDeeedd5xPWgAZwD64++67GT16NIZh8OOPP7JmzRp69OgBQHBwMLGxsb973rO7GsfExBAXF0dcXJyrv6heKrPKx2agiVKq4ZmFhnfjnN5xruPAjQBKqZpAM+BIJcboEhAQ4CrcPn36dFq0aMGKr1fgYzgXEGQ7stFKc5X1Khp6NKSOUQeFAmDAGwN58fRk3kyfwounJzPgjYF41fSiXqd61KhfgyfufYKE5ARO2k+SZc9y/ZZau3Zthg4dWqoutRBCCCEurbO7FxqG4ZyM6oDBXQfzwQcfuKZuREREkJ1d4Rfm5ZK601eOSkuotdY2YCzwA7AX+ERrvVspFauUOvsr3stAV6XUTmAF8LTWOrWyYqxIz549qVevHv369eNfj/4Lo9hAo8myZ+FQDqKsUTT2aFwqqS7P8Z3HSTqUxM4tO7m2wbU08WxCoDnQtWJYKcWUKVPYtKlSB+SFEEKIK9orr7yCr68vK/eshBpwW9PbmPfuvFJttm/fTpMmTVzPMzIymD17NvPnz+fYsWPlnlfqTl85KnXrca31t8C35x2bfc6fk4CelRnThWjWrBkbNmzg6aef5q233mL16tW88+E71G1al0x7JoGmQNpY22A2zKgi5/SP8rYpf+Q7Z1UPTzw5/Plh3n3qXV6Z8wo33HIDQaYgQk2hGOqK3GtHCCGEcIsDBw7w8ccf88QTT/DBng8w7zXzzPPP4Onp6WqzevVqDMOgTZs2gLN83vjx4/H29iYpKYnFixczZsyYUn3ElUWytwvk6enJlClT+Oqrr0hOTiYrOQsv5YVGk2nPxKZstLK2oqVnS+oadSvcURGgiCIi+0fyzOJneHHsi8ybMo80Wxqn7Kew6UqpEiiEEEJc0c5u5NKsWTMcDgcnTp/gvQ/fo2fXnnRp38XVbseOHRw4cIABAwbgrOoLZrMZb29vAMLDwwkODiYtLa3Me0jd6SuHJNR/Ut++fTly5Ag33ngjfoYfyz9fTlZWFpn2TIp1Mc2tzWnj2Ya6Rt0KN38BKKYY/w7+vPTDS3y16Cv+M/o/nC44TXJJMsW6uBKvSAghhLiylLeRy0dxH1HsWcwLQ15wHTt06BBr165l0KBBeHh4uI7n5eXhcDi/ic7IyCAtLY2goKAy7yN1p68clVY271JxZwmmxMREIiMjqRVei1nvzyK6czSBpkAsysKx4mPOsnr242U2fzmXJ5745/mzIHYBWTlZTPloCrVDa1PLXKtMWT0hRPUiZfOEcA+LxVK29nQ0YIVZ98wCnHWnv/vuO2w2m2s0+mx5vD179rBy5UoMw8AwDK677jqaNWsGlK47nZ+fz5IlS8jKyiIgIIA777xTyuZVcRXdtyWh/pvWr1/PoEGDSEhI4JmXnmHsE2MJ9gjGoiwkFCcQXxjPMfsxSiip8ByeeBLsCGblKyv57qvvmPnZTJo2a0pNU038TGW3LhVCVA+SUAvhHmenbrjUx1m49wvQ2y99XiQJddVV0X1bpnz8TV26dGHHjh0MGDCAV559hXv63UOmLZMSXUKEJYJoazQNTA2wYKnwHEUUkWakcdN/bmLcE+MYdtMwfv7pZ5JtyWTYMuSHTgghhLiIzp2+AUBHoADM+yu1VoOoRiShvggCAwNZvHgxc+fOpVfvXmjlXKhYokuoaalJR2tHGpga4EnFq3+LKea0Pk3dO+sy6/1ZPHPfM3w490NO20+Tak/FUXYHdiGEcCul1BtKqX1KqV+UUp8rpQLdHZMQF+Khhx76bZTaF+dmLjtgxH0j3BiVqMokob5IlFI8+OCDPPHwE1iVla+/+JqHH32YnMIcwixhdLF2oZG5EVYqnhddTDGppOLo6OCL/33BoumL+O8T/+VU0SmpACKEuBz9CLTWWrcFDgD/dHM8QlyQGTNm0K1bN+eT9oAJBjcdzIwZM9wal6i6JKG+yJRS+Bv+7Nm2h7envk1M1xh27d9FoCWQTp6daGpuijfeFfY/m1Qnhify2crPOLb3GGMGjCEhI0EqgAghLita6+VnNu0C2ABEuDMeIf6MunXrEh4RTp1+dbi50c0smrrI3SGJKkwS6ktAKcWEVybw0ecfceLYCa7ucDXvvvcuAZYAoq3RtPBogQ8V16IsoYQUUthj3cPcz+fSpEET7rnuHvYd2UdSSRKFjsJKvBohhLgg9wPflfeCUmqEUmqLUmpLSkpKJYclRPnWrVuHtYGVxJ8SqX+gPhs2bACgoKCAhQsXMnXqVBYuXEhBQYGrz5o1a5g6dSrTpk3j0KFD5Z739/qL6ksS6ktEKcVd/e5i7ba1RHWI4sHhD/LTzz/h5+FHB+8OtLW0xY+KK3jYsJFKKltsW3j6zacZ8dAI7rn+HtauXUuCLYEce04lXo0Q4kqllPpJKbWrnEe/c9o8C9iAcof4tNZztNbRWuvosLCwygpdiAqdOnWKY8eOobtq6vWsx5v/fJPNmzeTkpJCXFwckZGRjBs3jsjISOLi4gBISUlh165djB49miFDhvDNN9+4alGfq6L+onqThPoSUkrRon4LvvnpG+YtmUebrm0ochRRlF1EG682tPdsTwABFfa3YSOddDYVbuKWkbfwzrvv8Mhdj7B00VKSbcmk29KlAogQ4pLSWt+ktW5dzuNLAKXUMKAvcI+WG5KoItavXw8h8Kv3r4zsMBJvL29CQ0PJzs5m3759REVFARAVFcW+ffsA2LdvH61bt8ZsNhMUFERwcDCJiYllzl1Rf1G9SUJdCYI8grjjH3eAgs27N1O/fn2mTZxGU0tTrrZeTTDBFfa1YSODDLYVbqPedfX48acfmfHSDCY/P5lTJadIsadIBRAhhFsopXoBTwO3aa3z3R2PEBdq/fr1GJ0MPAwPHrjqATIzMzl58iQRERHk5eXh5+f8BtnPz4+8vDzAuXV4QMBvg2D+/v6ubcXPVVF/Ub1JQl1J/Aw/fAwfwmqFcc1N1/D000/T/5b+eGd409mrM6GEVtjXjp000thZtJPiyGI2rNvA9jXbGT9kPAk5CSTbk6UCiBDCHaYDfsCPSqkdSqnZ7g5IiAuxdtNaVHvFHS3vIMgSxMcff0yvXr3w9Ky4vK18ASN+jyTUlcjX8CUiJIJ3Fr/DhBkTWL16NZ2u6sT+Vfvp5tWNWtSqsK9Gk046+0v2c9jvMCuWryDQO5BhNw3j0IlDJJYkUqSLKvFqhBBXOq11Y611Xa11uzOPWHfHJMTvGTNmDBaLhbVZa7F72Cn4uYCPP/6Ytm3b0qJFCwB8fHxcI885OTn4+DiLCPj7+5OVleU6V3Z2tmsk+lwV9RfVmyTUlczH8MHP5MfQEUP5fsP3hNYI5afvf6KOZx26eXWjLnV/t38GGRwuOcxmx2bmz5vPgP4DuLv73WzZtoUTJSfIs8tXS0IIIcT5xowZw6xZsygpKXHujHgSvpj2BZ988gldunRxtWvWrBnx8fEAxMfH07x5c9fxXbt2YbPZyMjIID09nTp16pR5n4r6i+pNVfWvMKKjo/WWLVvcHcafVuAoINuRTUFBAb5mX0K9Qtm8bTPF1mLSa6dzhCO/298ff8LN4cRYY/jqy68YM2oMz09/nl639yLMFEagKfC3XaCEEJclpdRWrXW0u+OoTFX1ni2qPovF4kym6wAPAUuBnWAYhmtDlxtvvJE6deqwZMkSsrKyCAgI4M4778TLywuA1atXs337dgzDoFevXjRp0gSAZcuWER0dTXh4OPn5+RX2P0spJVNIqqiK7tuSULtRoaOQbEc2Go0VKzd2vpH9+/fz+ozXaXRrI/azH03F///44EMtUy1ivGLYH7+f22+/ncGxg3noiYcINgcTagrFUPIlhBCXK0mohag8rkGm23FuNT4JOLNXWmXnQpJQV10V3bcl23Ijq2ElwBSAQlFIIQuWLKBdu3aMGTaGeePm0TS/KSZMFfbPI49kezKrC1bTIKoBmzZs4qfPfuKZB5/hZP5JWawohBBCnOHh4QHeQGsgHlcy7eHh4caoRHUhCbWbeSpPAk2BGBiE1Q3js58+4z//+Q+ffvgpY64fQ/2T9bFgqbB/Pvkk25NZW7AWR5iDtavXYs+3c3+f+zl68qgsVhRCCCGAhx56CNoBZmCz85hSynlciL/pTyfUSqnBSqnFSqlFSqkPlVKDLkVgVxKLshBkCsLAwGFy8Mh/HuGnFT/RuVNnOjfqTDePbnjhVWH/Qgo5bT/NpoJNJJgT+GLJF1wfcz2Dug/ilz2/kFiSKIsVhRBCXNFuve1W52LEo0CKc2R61KhRrvnTQvwdf2WE+lqt9d1a63u01oOBmIsd1JXIrMwEmYIwKRMluoS217Rl4fsLCfUIxTPLk69Hfw0pFfcvoojT+jQ7Cnaws2gnr//3dZ5//nnu63kfK5avINGWSKY9U+ZsCSGEuCL9691/QRB88MgHaK0pLi6WZFpcNH8lofZUSt2ilGqrlLoFfmfoVPwpZmUmyAjCrMzYtI0MRwZ27Ozfup/lny/nle6vcHLVyQr727BxmtPsLtrN5oLNDB0ylE+XfspzDz3H+7Pe55RNdlYUQghx5YmPj2e7eTt++DGwzUB3hyOqob+SUI8GgoDeQCAw9mIGdKUzKRNBRhAWZcGu7WTYM+h1ay82bdpEcHAwrw94nZUvrcReYi+3v0aTRhoHig+wtmAtV3e9mrVxa1kydwkvPfISp4pOkWyTxYpCCCGuHC++9SI0hZGdRmIxVbwuSYi/6g8TaqXUsnMfwGLgLpxTPe7SWudf6iCvNIYyCDQC8VSeOHCQac+kWetmbN28lWEPDOPLKV+y/vX1FfY/u6vi0ZKjrM5fTVjdMDas3cCpX08x+vbRJKQnkFCSQKGjsBKvSgghhKh8CQkJfJHwBQrFI90ecXc4opoyX0CbLsAJ4CNgIyC7hVQCpRQBRgA5OocCRwGZjkz8vPyYP3c+vXr1olXXVpzgBDvzduLp41nuObLIwm6zs1qvpqNXR77/5nvGjR/HPdfew4zPZlDSuIRaplr4mcpunSqEEEJUB5OnTka309xc/2Yi/CPcHY6opi5kykct4F84Kze+BfQAUrXWP2utf76UwV3plFL4G/74Gr4A5DhyyHXkcteAu2hSqwktzS2Zd9s8Fj+8mKK88kvj5ZJLsj2Z9fnrOW4/zoypMxj38DjuveFeNqzeQJItiTRbmixWFKIaUEr1UErNVUq1O/N8hJtDEsKtsrOzmbV6FvjAk9c+6e5wRDX2hwm11tqutf5eaz0M6AwcAlYppR6+5NEJAHwMH/wNfwDyHHlk27OxYCHMM4xePXux8cONTL5hMgk7E8rtX0ABJznJ1vyt7C7czdjRY1m4cCHjB49n6XtLSbGncMp+Crsuf162EKLKGA08CQxRSt2As+quEFesd955h8LWhdT3qc8NDW9wdziiGrugRYlKKU+l1D+AD4AxwFTgs0sZmCjNy/Ai0BSIQlGgC8hyZGH1sDLx1Yks/WEp9hw7U3pM4ee3fy53tLmYYk5zml8Kf2Fz/mZuvOlGVq9azTsT3mHSs5NIK0kjsSSRYl3shqsTQlwkKVrrTK31E0BPnFV3hbgilZSUMOH9CVAXxseM/23rcSEugQtZlPgesA5oD7yote6otX5Za514yaMTpXgqT9cGMEW6iExHJgrFbTfdxrod6+h2Yzc2zt9ISWFJuf1t2Egllf3F+1mXt476TeuzeeNm9m7ay6N3PcrpnNMklCTIJjBCVF3fnP2D1voZYKEbYxHCrZYsWcKpuqewKAvD2g1zdziimruQEep7gabAI8A6pVT2mUeOUir70oYnzuehPAgyOWtVl+gS0u3paDSNazTm82Wf89mPn9HAqwFFuUUcXn+4TH+NJoMMjtiOsCZ/DfjB/376H+Eh4Qy7cRhHjx8l0ZZIhj1D5lULUcVorb8879BstwQihJtprXltymuoKMW97e4l0Bro7pBENXchc6gNrbXfmYf/OQ8/rbX/n3kzpVQvpdR+pdQhpdQzFbS5Tim1Qym1Wyklix7LcXYDGIuy4MBBuj2dYooJNAXSMqIlHb07svnNzUzvO51vXvkGu63s3OhssjlhP8GagjWc4hTz353P0MFDGXztYOK3xMsmMEJUcUqpd4BTSqkTSqmNZxYrytoXcUVYuXIlO42daLNmdMfR7g5HXAH+ysYuACilTEqpe/5Me2AGzg1hWgKDlFItz2sTCMwEbtNatwJkO6MKnK1VbVVWNJpMeyYFugA/w48wjzD+77n/o+c9Pflx0o9Mu2UaacfTypwjn3xOOU6xvmA9+wr38eSTTzJrxixG3T6K7z/9njR7Gkm2JEp0+VNIhBCXtWuAmlrrusA/gM8BH/eGJETleGPiG5g6m+gU3on2tdu7OxxxBbiQOdT+Sql/KqWmK6V6KqeHgSPAnX/ivToBh7TWR7TWxTg3iOl3XpvBwGda6+MAWuvTf+L8VxylFAGmAHwM57+ROY4cchw5+Bg+1A+sz7x35/Hvef/m5N6TvNH9Dfav2l/mHIUUkuJIIb4onq0FW+l7W19+XP4jk/45ibdffZtsezYJJQkU2Asq+/KEEH/PBpy72qK1TtRaf6u1fs3NMQlxye3atYvv932PPcjO2E6ymbOoHBcyQv0+0AzYCTwILAfuAPpprc9PiH9PHZwbxJyVcObYuZoCQUqpVUqprUqpoeWdSCk1Qim1RSm1JSUl5U+EUD35Gr74G/4oFPmOfDLtmXgqT0I9Qhlzzxg+WPcBjTo0IrRhaLn9bdhII429RXtZm7+Wpm2bsmnjJuK+ieOf9/2TrIIsEmwJZNmzZF61EFXHHOBnpdQTSqlrlFIB7g5IiMowefJkjM4GwdZgBraSL7pF5biQhDpSaz1ca/02MAiIBvpqrXf8yfcqr17N+dmZGegA3ALcDPxbKdW0TCet52ito7XW0WFhYX8yjOrpbFm9sxVAMhwZmDAR4hFC9xbd+eCrD2hWvxlaaz7/1+ck7U4q1d+OnUwyOVpylJ9zf8YcYmbN6jVYHBYe7PUgp06dItmWLPOqhag6PgA+wXlfHY1zUXnZlcpCVCPJycm8/+X76KaaB9s/iNVsdXdI4gpxIQm1awKt1toO/Kq1zvkL75UA1D3neQSQVE6b77XWeVrrVGA1EPUX3uuKZFEWgkxBmJSpVAWQEFMI9a316eDZAc9ET7Z/vp3JN01mzTtrSo04azRZZJHkSCIuP45klcziDxfTp0cfBncfzIFdB0izp5FoS5R51UJc/hK01s9rrV/TWg86sy6l5R/2EqIKmzZtGrYoGygYGT3S3eGIK8iFJNRR55TJywHa/sWyeZuBJkqphkopC3A3sOy8Nl8C1yilzEopb+BqYO+feI8rnlmZCTaCXRVAMuwZFOtiAo1Awj3D6dW0FzPWzKBxTGOWPrWUeUPnkZdRuu50Hnmc1qfZVLiJ3cW7+c8L/+HVV17l/l73s+a7NeQ6cjlRckLmVQtxeduhlHrk3ANa66KL+QZKqZeVUr+cqcy0XCkVfjHPL8SfkZuby8y3Z2LtaqV3k95EBkW6OyRxBbmQsnmmc8rk+WmtzX+lbJ7W2gaMBX7AmSR/orXerZSKVUrFnmmzF/ge+AXYBLyjtd71Vy7sSna2AoiX8nKOOjuyyNN5+Jv8qeFRg+71uzN16VQG/N8A9izfw9sD3y4zN7qQQtJ0Gr8U/sLGgo30v6s/Xy37iudHP8+iqYsodBRywnaCTHumzKsW4vJUE4hVSiUppb5WSr2ilLrYE0rf0Fq31Vq3A74G/nORzy/EBZs3bx5ZtbIo9ChkdLSUyhOVy/xHDZRSv3eD1Frrly/0zbTW3wLfnnds9nnP3wDeuNBzivIppfA3+WN2mMlx5JDnyMOmbQQYAZjNZsxeZh4d9ygtu7UkMy8TpZSrXrXJbAKcixUzyeRQ8SFy7bl0iO7AhvUb6HtrX37d/yvPTHmGk5ykyFREqCkUkzK585KFEOfQWt8JoJTyBFoBbXB+67fkIr7Hud9S+lB2XYwQlcJms/Hmm28ScFsAQYFB9Grcy90hiSvMhUz5yCvnAfAA8PQliktcJN6Gd5nFimZlJswjjKbWptzW8TY6de0EwA8TfmBGvxlkJGS4+tuxk0UWCfYE4vLisNe0E7cmjsyTmYy5bQxZ6Vmk29NJLJF51UJcjrTWRVrrbVrr94D/u9jnPzPyfQK4BxmhFm7y2WefcTT3KFnBWcR2iMVkyACPqFwXMuVj0tkHzjJMXsB9OOtIywSlKsBTeZZZrAgQYg4h0hpJO892RBBBjSY1SNyZyBvd3+CXr39x9ddocsnllD7FlsItHPE4wtLPltLxqo7cc+09JBxMIE/ncaLkBHn2vIrCEEJUEqWUj1Kqk1LqPqXUJKXU90qpRODXv3Cun5RSu8p59APQWj97ZvOYRTin9ZV3Dil1Ki4ZrTUTJ04k4KYALCYL9191v7tDElegP5zyAaCUCgYewzkC8R7QXmud8fu9xOXk7GLFLEcWxbqYDHsGfoYfQUYQJk8TVpMV611WIjtEMv+h+cwbOo9u93ej38v9sHhZAOe86lSdSnFRMfk6nxcmvEDz5s0ZcuMQJr8/mfbXtifRlkioDiXIFIRS5VVKFEJcSkqpo4AHsAfYh3PNyiCg3V/ZLEtrfdMFNv0Q+AZ4vpxzzME5IEN0dLRMCxEX1Zo1a9gcvxlrXyt3trqTMB8ppysq34XMoX4D57a1c4A2WuvcSx6VuCTOLlbM1bnkO/LJdmRTYpTgb/hj8jDhoTywNLFQ87uafPp/n7J6zmq6DO1CRNsI1zlKKCGLLA4WHyTXnkvfYX1p3Lgxd999N4+/+Di33Xcbp+2nKaaYMFOYzKsWovJ9DVwLzNVafwKglHryUuw8q5RqorU+eObpbTgTeCEq1RtvvIFvF19yda4sRhRucyEj1I8DRcBzwLPnjDoqnIsSL7jSh3A/pRR+yg8zzsWKBY4CbMq5WLGmuSZmqxlv5Y33S950H9GdoIggAI5sOELDqxuilMKGjWyysdltFOQX0KJLC1atWkW/fv04uv8oY/87lgwyKHIUUctcC0/D081XLcSVQ2s9VinVAHhRKfUU8G8u3WLB15RSzQAHcAyIvUTvI0S59u7dy9dff03NF2rSuFZjOkd0dndI4gp1IXOoDa2119kyeec8/lTZPHF58TK8ysyrNikTNT1q0sTahChLFM0jmgNweN1hpvaZyoLhC8jPzAec86rzyOOUPsWOwh3k1c9j5dqV7P9lP48PfJyi3CLydT4JtgRy7H9lHyAhxF+ltT6qtR4GDANGALWUUtddgvcZoLVufaZ03q1a68SL/R5C/J7JkydjaWThFKcYHT1aphoKt/nDhFop1UXJ39BqyUN5lNkEpkSXEGoOpYG1Ae2s7WigGhDZOZLbXriNnd/t5I3ub3BkwxHXOQopJF2ns6doD4e8DrHo60XUq1OPe6+/l/QT6RTrYpJsSaTYZMtyISqb1nq31ro/cD3wnFJqtbtjEuJiOXnyJAsXLqTeHfXw9/RncJvB7g5JXMEupGzeMGCbUmqxUmq4UqrWpQ5KVJ6z86q9DW80mmxHNrmOXAJUAHU869DWuy0tzS3pPa43j3z3CIbZYPqt0/nftP+5zlFMMTnkcLjkMNtKtvH0W09z3/D7GNh9IEc2O5PvVHsqSbYkbNrmrksV4oqltd54ZnHhS+6ORYiLZcaMGRR7FHPM5xjDo4bjY/Fxd0jiCvaHc6i11rEASqnmQG9ggVIqAFiJc1fDtVpr+yWNUlxSZeZV6wJsOOdV1zLXwsPLA69CLzw6ePDkqidZ8sQSfEJK37hs2MgnnwR7AgVFBdw46kYaNm7Iff+4j1cmv8K1d15LjiOH4pJiaptq42XyctPVCnHl0lr/5O4YhLgY8vLymDlzJi3vackexx5GdRzl7pDEFe6CyuYBaK334VzB/aZSygvnV4gDgclA9KUJT1QmL8MLszKT5chyzav2N/lT06MmZsx4lXhxwP8AQ94e4uqz5ZMtWP2stO7dGjt2CiggxZFCUWERDW5owGc/fMaQ/kM4su8IDz73IEUUccJ2glBCCTKktJ4QQog/b8GCBaRnpOMR6cENtW+geWhzd4ckrnAXUjZvWUUv4azyIcl0NXJ2XvXZetWZ9kx8DV/CPMKwGBa8DC8OFx3mqD6KQztYt2AdRzYc4ZoR13DbC7fhYfWgiCJnab2Sg9RpXIdP4z5l7MCxHD54mP/O+S82q43TttMUm6S0nhCVRSlVG0jXWhe5OxYh/g673c7kyZNp1rcZ+wv3MyN6hrtDEuKC5lB3ASKANcBEYNKZx9k/i2rm7LxqH8M5rSPXkUuOI4cAI4C6nnVp7dWa5kZzLMrC6M9Hc23stayZs4Y3e7zJyf0ngd/mVR+1HSXJP4lZ383CMBkM7jEY22kbSiky7BkklCRQ6Ch05+UKcaV4H9inlJro7kCE+Du++OILjhw5gte1XoT7hXNbs9vcHZIQF5RQ1wL+BbQG3gJ6AKla65+11j9fyuCE+yil8DV8CTQFYmBQpIvI0Bl4KS9qe9SmpVdL2prbEuIZQv//9uehxQ+RdTKLyTdOJjMpEwA7dvLJ56T9JAc4wPg547mp70306daHtJ1peCgP8nU+J2wnpLSeEJfYmUWJkcB8d8cixF+lteaNN96gbtu67MjdwcgOI/Ewebg7LCEuqA61XWv9/Zmapp2BQ8AqpdTDlzw64XaeypNgUzAeygO7tpNhz0CjqeVRy1mv2jOK2tSmVc9WPLXmKfr9Xz8CwwMBsNvsaDQFFJChM9hfsp8e43vw9GtP069XP3Z8swMfwwebtklpPSEuMqXUCqVUn/MOv6213u2WgIS4CNatW8fGjRtpek9TzIaZB9s/6O6QhAAubIQapZSnUuofwAfAGGAq8NmlDExcPkzKRJARhJfhhUaT48ghz5FHqCmUhp4NibJG0Ug1IrhWMN2GdwPg6OajvNblNY5uPgpAEUXkkssR2xHq963PtKXTGDd2HB9O/pAgw7kbY6o9lURbIiW6xF2XKkR10hB4Win1/DnHZM2LqNImTpxIUFgQ2/V2+jfvT7hfuLtDEgK4sI1d3gPWAe2BF7XWHbXWL8uOWFcWpRT+hj8BRgAKRaEuJFM7FyxGeEbQ2rs1rUyt8MYbAMNkYC+xM7XPVH5880ccDgcllJBHHsn2ZExtTcxZOYdFHy3inyP+SbAjGLMyk+vI5UTJCXLtuW6+YiGqvEzgRqCmUuqrM+VOhaiyDhw4wJdffklMbAzphemM7jja3SEJ4XIhI9T3Ak2BR4B1SqnsM48cpVT2pQ1PXG6shpVgkzP5tWkb6fZ0DAxqe9SmubU5bc1tCSWUeu3r8eTqJ4m6LYpvXv6G2QNmk5WchUaTTz7pOp2MsAwmfDeBpPQkBvQagFeGF1bDSpEuItGWSJotTaaACPHXKa21TWs9GlgKxAE13ByTEH/Zm2++iYeHBwm1E2gR2oJr61/r7pCEcLmQOdSG1trvzMP/nIef1tq/MoIUlxezMhNsBOOlvFy7KxY6Cgk1h9LYqzFR1ijqUx8vfy+GvjOUu6fezdHNR9n8yWbXOQopJJdckq3JjH1vLE06NuHabteSezCXQCMQgNP20yTZkmQKiBB/zeyzf9BaLwCGA8vdFYwQf0dKSgoLFiyg9wO92X56O6M7jpZ9DMRl5YI3djmfUsoE3K21XnQR4xFVhFIKf5M/FofFmVDrQkoowd/wx8PTA2+TNz4FPhx2HKbzkM407taY4HrBACTvSSasURh4Qgkl2LWdXs/1IqJJBNdfdz0fvP8BV990NSn2FNfuijVMNfA1+br5qoWoOrTWb5/3fCtwv5vCEeJvmTlzJoWFhZg6m/BJ8OHetve6OyQhSrmQOdT+Sql/KqWmK6V6KqeHgSPAnZc+RHE5OzsF5GwVkExHJmbMhJvDaenVkihzFMEEE9owFMNkUJRbxIz+M5hy8xROHzpdagpIozsb8dzC57h32L0snL2Quqa6WJVzCkiSLYk0Wxpaa3dfshBVklKqtlLK091xCPFnFRQUMH36dHr268m3J75lSNshBFhlSYC4vFzIHOr3gWbATuBBnF8Z3gH001r3u4SxiSrCrMwEGUF4G96uKiCFupAwcxiNvRrTztqOutQFwNPXk7un3E36iXQmXj+RjR9uRGvtmgIScHUA//3+v7w17S0effRRalGLQCMQBw5S7Ckk2ZKwaZubr1iIKkk2dhFV0sKFC0lNTaXJHU0otBUyKnqUu0MSogz1RyN+SqmdWus2Z/5sAlKBelrry2InjujoaL1lyxZ3hyHOKHIUke3IxoEDkzLhp/woooiUkhQOFR3iiP0IxRSTmZTJB7EfcCjuEB3u6MCgaYMwezpnIPnggznbzKz7Z+Fl8uLTjz/F8DdItadi13Y8lSe1TLXwNnm7+WqF+HuUUlu11peklJ1SaiywSGudcc4xBbR0Zy1quWeLP8PhcNC8eXP8A/zJHppNDZ8axN0f5+6w/jallHzjWkVVdN++kBFq14owrbUd+PVySabF5cfT8CwzBcTAINwcTmtra6LMUQQSSGB4IKM/H02fZ/tgL7Fjsphc58gjj0L/QkYtHkVA/QC6dOtC4pFEIkwRrikgCbYE0m3pckMSomK1gM1KqU+UUr2UUko7ycYuosr46quvOHjwIDePupmD6QelVJ64bF3IosSoM+Xxzi6n9TrnuZZKH+J8ZzeCydN55DmcDw/lQag5FIthwafYh8NFhzlhOkHPx3uitUYpReqvqez8Zie+Yb58+8q3ZCRmEFInhLbXtOWGa25g3uJ59Ozek1R7KjmOHE7bT1OoC6lhroFZ/eX1tUJUS1rr55RS/wZ6AvcB05VSnwDvaq0Puzc6IS7MxIkTqV+/Pru9dhPmHcaAFgPcHZIQ5bqQsnmmc8rk+WmtzVI2T/wRpRS+hi9BpiBMykSJLiHLkYWP8qGhtSFR3lG0MFrgiaer9NGmjzbx5X++5MMxH5KRkAEa0hLSWPvFWjrf2ZmhA4cyfcF0go1gaphqYCiDLEcWJ0pOkG/Pd/MVC3H50c6vcE6eediAIOBTpdQEtwYmxAXYsGEDcXFxDH9kOF8d/IoH2z+Ip1nW1YrL0x8O6yml/vM7L2ut9csXMR5RzViUhWAj2LVQMUfnYMVKbXNtrF5W/Iv8OWg7SDrp9P5nb+LeiSM/s3RyXFxQzLrP1/HUsqeYNHgS+/ft59VXXqWOUYfTDucodYItgVAdSpApSGqTCgEopcYBw3Cue3kHeFJrXaKUMoCDwFPujE+IPzJp0iQCAwPJb5GP3qgZ2WGku0MSokIXMoc6r5wHwAPA05coLlGNGMogwBSAv+Hv2rY8n3yCzEE08WpCB2sH6lMfpRT5WeWPNKcnpuPb3Jenlz9NXFwcAwcOJDk3mVrmWvgb/jhwcNp+mmR7smwEI4RTKPAPrfXNWuslWjt/MLTWDqCve0MT4vcdPnyYzz77jIdiH2LhroX0bdqX+oH13R2WEBW6kCkfk84+gDmAF875eIuByEscn6hGvAyvUgsWcxw5WJSFupa6RPlE0cbUhuA6weX2DQx3ls4jFMZ8Ngabl41brr+FrUe34qt8CTPCnFNA7FkklCSQZ88r9zxCXCm01v/RWh+r4LW9lR2PEH/GlClTMJlMNOzTkFN5p2QxorjsXcgINUqpYKXU/wG/4Jwm0l5r/bTW+vQljU5UO2drVvsYPgDk63xKKKGmuSYtrC147MXHsHhZSvexmjHMBls+cZbasnnauGvGXbS9rS39u/fn243fYlM2ahu1sRpWCnUhibZEUm2pOLSj0q9RCCHEX5eWlsa8efMYMmQIHx36iMigSHo26unusIT4XReyU+IbwGYgB2ijtX7h3LqmQvxZ5S1YzHXk4mfyY9S9o/jvzP8SVjcMFARFBNHvpX4E1g7kg9gPWDR6EYU5hdiUjWsevYaBrw5kZL+RvPPxO6TaUwlRIQQYAWg0qfZUkmxJFOtid1+yENWaUuoJpZRWSoW6OxZR9c2ePZv8/HxuffBW1hxfw6joURjqgsb/hHCbC9nYxQEU4Vwhfm7jy6JsnmwSULVprcnRORQ4CgDnIkYzZjLtmRwrPMYh+yGyyMJus7N84nKWT1xOSIMQhr0zjLrtnLsvnow/yZx75nDrA7fyxD+foJa5FijIcGRg0zY8lSdhpjB8DV9ZsCguK5dyY5fKopSqi3PRY3Ogg9Y69ffayz1b/J7CwkIaNGhA+/btaTCmAfO2zyPxsURCvEPcHdpFJRu7VF1/eWMXrbWhtfY6WybvnMefLpt3ZnOB/UqpQ0qpZ36nXUellF0pdcefOb+oepRS+Bv+BJoCMTAo1sUU6AICTYE0825GB2sHwgnHZDbR+5nejPlyDLZCG18894XrZlQrqhaP/vgoq75axdjhY9mXs498Rz6hKhRvw5siXUSSLYkUewp2bXfvBQtR/byJs2KIZAfib1u0aBGnTp1i1KOjeP+X97m79d3VLpkW1VOlfYdyZtvyGUBvoCUwSCnVsoJ2rwM/VFZswv08lSchphCsyopGk6/zMWOmrqUu0d7RtDa1xoqVxt0a8+TqJxkyewhKKfLS88hJycG/tj9jvh5DTmEOD/R+gC0JWzhlP4WP8iHACAAgzZ5GYkkiRbrIzVcrRPWglLoNSNRax/9BuxFKqS1KqS0pKSmVFJ2oahwOB5MmTeKqq67ieOBxcotzZTGiqDIqc1JSJ+CQ1vqI1roYZ5WQfuW0exhYCsiCxyvM2fJ6AUaAc7SaYkp0CcHmYFpaW9LRoyNhhOET7ENQRBAASx5fwhvd32D/qv1YvC0MmTeEhtc0JPaGWFbsWMGJkhM4tIMQUwgeyoM8nceJkhNk27Pl6zYhLoBS6iel1K5yHv2AZ4Hf26sAAK31HK11tNY6Oiws7NIHLaqk7777jr179/L4448za8ssOtTuQMfwju4OS4gLUpn7NdcBTpzzPAG4+twGSqk6QH/gBqDCnyKl1AhgBEC9evUueqDCvayGFQ/lQbYjm2JdTKEuxGpYqe9ZH38Pfw4WHuSw4zB27PR8sifv3f8eswfM5oZxN9DnX33o/WxvwpqE8c9b/8mYGWO45ZZbqGmuSYARQAEF5Ot8km3JFJgKMOea+eqLr8jNzUUpRYcOHejcuTMFBQUsWbKEzMxMAgMDGThwIF5eXgCsWbOG7du3o5Sid+/eNG7cuMw1/F5/IaoSrfVN5R1XSrUBGgLxZ9YmRADblFKdtNYnKzFEUU1MnDiRunXrUrtzbXZ/sJt3b3tX1r2IKqMyE+ryfirOHyKcAjyttbb/3g+R1noOzprYREdHyzBjNWRSJoJMQeQ78sl15FJMMYYyCDGF4O3lTUBhAIfsh6AlPP6/x/n8X5+z4q0VHFxzkOHzhxN9ZzTB9YKZed9MEo4kMHjUYMIt4YSYQwhQAeToHNLt6TjsDrrf1J3IiEiKioqYM2cOjRo1YseOHURGRhITE0NcXBxxcXH06NGDlJQUdu3axejRo8nJyWHhwoU8/PDDGEbpL3vi4uLK7S9EdaG13gnUOPtcKXUUiP6jRYlClGfLli2sWrWKSZMmMWf7HAKtgdzd+m53hyXEBavMKR8JQN1znkcASee1iQYWn7kx3wHMVErdXinRicuSt+FNiCkEi7LgwEExxXganjT1akpHa0ca0ACrt5W7ptzF8HnDKcwpxMPTA4DIzpE88sMj/PTeT0wYP4F9Ofs4XnycAkcBAQTggQeGr4G9hp0MWwYeFg9CQ0PJzs5m3759REVFARAVFcW+ffsA2LdvH61bt8ZsNhMUFERwcDCJiYll4q6ovxBCiLImTZqEv78/tw66laV7l3Jfu/vw9vB2d1hCXLDKTKg3A02UUg2VUhbgbmDZuQ201g211g201g2AT4HRWusvKjFGcRk6O1rtb/hjYGDDhgMHNTxqcJXPVVxlugp//Gl3ezueWfcMfjX8sNvs/PTWT/iG+PLo949y6sQpnr/zeXae3snh4sOkOlKxGla8lTd2beeU/RT70/aTmJxIREQEeXl5+Pn5AeDn50dennPnxZycHAICAlyx+fv7k5OTUybmivoLUV2duXfL6LT4044ePcqSJUsYOXIkHx/8GJvDRmx0rLvDEuJPqbSEWmttA8birN6xF/hEa71bKRWrlJKfHPGHzm5d7qk80Upjw4a34U0TryZcbb2aetTDMDn/Sh9ed5hvXvqGSTdMIvVYKg9++CA1m9fkPzf/h+0HtvPUw0/T0LsNDTwb0sa3Ky+MfZGPF39M1I1RlJhLKlywKAsZhRDi4nrrrbdQSjF67Gje3vo2PSJ70DSkqbvDEuJPqdSth7TW32qtm2qtG2mtXzlzbLbWenY5bYdrrT+tzPjE5c+kTASaAl2j1XbsKBRhHmG092lPlCkKX3xp2r0po78YTVFuEW/2eJO4d+Po/9/+XBt7Lc/F/Jvv3tmKzfYZUITN9gkfv/Md61dsIKJ5BEm2JPCCzOxMwDkq7ePj3Crd39+frKwsVzzZ2dmukehz+fj4uEauz+0vhBDiNxkZGcydO5dBgwaxI38HCdkJjOk4xt1hCfGnyV6eoko6f7TagQMvw4tmXs3o6NmRcMJpck0Tnlz9JM1vaM7n//ycpU8vpdt93XCUeAEfAdfjXJebA/yT/329CU880WjCGoexYusKCh2FxMfH07x5cwCaNWvGrl27sNlsZGRkkJ6eTp06dcrE16xZM+LjnaV5z+0vhBDiN3PmzCEvL4/HH3+cmZtnUte/Lrc0vcXdYQnxp1VmlQ8hLqqzo9WFjkJyHDk4cGBgUNNSEz+TH0cLj3Iw5CAPLnqQ1XNW07BjQwAc9hwg5sxZTgDxQCg2WwYL3l7AtTdeS8duHfl26bfs2L6D8MBwht09DIAaNWrQqlUrZsyYgWEY9OnTx1XhY9myZURHRxMeHk5MTAxLlixh27ZtBAQEcOedd1b65yOEEJezoqIi3nrrLXr06IFXhBc/fvEj/3f9/2E2JDURVY+q6nNCo6Oj9ZYtW9wdhnAzh3aQ48ihUBcCoNHYtZ3U4lT2F+8nmWRX2/Gh/0Y7vsQ5Qn3WSkzm/nye+j41LTUJNAJRKOw4tyoPMAUQagrFQ3lU4lWJ6k4ptVVrHe3uOCqT3LPFWQsWLOC+++7jhx9+4Hv9PdM3Tef4+OPU8q3l7tAuOaWUrMmpoiq6b8uUD1EtnN1lMdAUiEmZUCjMmKnhWYOO3h1pY7TBihWHw0FYIx9gELASKDnz30FE9WtMsiOZXwt/JbkkmUJHISZMAGTaM0koSSDXnuu+ixRCiGpCa83EiRNp06YN3a7rxvwd8xnQcsAVkUyL6kkSalGteCpPQowQvA1vUGBgYDVZaerdlM6WztQx6vCvjc/Q7Log4DbAE2W6ncYx/hz4eT9bf9zKKU5xtOQoJ4pPkGHPwOFwAFCoC0myJZFiS8Gu7W69TiGEqMp++OEHdu/ezRNPPMHHuz8mszCT0dGj3R2WEH+ZTFQS1Y5SCj/lh1VZyXHkUKJLUChCPUPxM/txvPA44z97lISjCbz/0Psk70tm2DtDSTmSwoL7F3D96Ou5bsx1FDmKyC3KpaZHTQIJxGJYnNNI7KkUOgoJM4dhNazuvlwhhKhyJk6cSHh4OHfddRdd3+tK6xqtiakX88cdhbhMSUItqi0P5UGQEUS+zifPkYdyDlkT6RVJSEkI+xvsJ+jbIBJ3JeJXww/fMF+Gzx/O0qeWkrg7kbvevIsCawGFJYXk2fMINYdiNayYMZNLLqlpqaxbtg5HvgPDMOjQoQOdO3dm+fLlHDhwAJPJRFBQELfffjtWq5XMzEymT59OaGgoABEREfTt27dM3AUFBSxZsoTMzEwCAwMZOHAgXl5elf3xCSHEJbF9+3ZWrFjB66+/zo6UHWxL3sbMPjNRSrk7NCH+MkmoRbWmlMJH+eCpPMlxOOtCmzARYAmgvbk9NQpr4HeVH/nks/njzXwy/hNu+fctHN18lGl9p/HA+w9Abchz5JFb7Byt9jf5Y8KEDRttb2xL44jG+Np8WTB3AY0aNaJRo0bcdNNNGIbBjz/+yJo1a+jRowcAwcHBxMb+/j5GcXFxREZGEhMTQ1xcHHFxca7+QghR1U2aNAlfX19GjBjBI6sewdfiy5C2Q9wdlhB/i8yhFlcEszITZAoiwAjApEx4Kk88DU/qedWji6ULdalLy5ta0rR7U7587kvsJXaaXteUN3u8yfFtxymmmGSS+bXkV5KKkyiwF2DyNRFQK4BMeyYpRgo+wT5kZWXRqFEjVym9iIgIsrOz/1Ss+/btIyoqCoCoqCj27dt30T8PIYRwhxMnTrB48WIeeughbBYbH+/6mKFth+LnWXaDLCGqEkmoxRXFalgJMTkXLZqVGS/lhb/Fn3be7biu1nU89tFj3P5/t7P3x71sWbyFrvd35e273mbLEmeZryyyiE+KZ+RtIzmSeIRCRyEFjgJOpZ/iUNIhLLUt2LTN9X7bt2+nSZMmrucZGRnMnj2b+fPnc+zYsXJjzMvLc+2+6OfnR15e3iX8RIQQovK89dZbADzyyCPM3z6fInsRozqOcnNUQvx9klCLK46hDPwMP4JNwXgYHngqT6yGlXBLOF29ujJ89HAe/eFRPLw8CG8Zzpgvx/Ddf7/jqxe/wmF3sHzqcg5uO8jcyXNJKUkhpzCHZUuW0bFHR3JNuSSWJJJnz2P16tUYhkGbNm0A8PX1Zfz48cTGxnLzzTezdOlSioqK3PxpCCFE5cjKymLOnDnceeed1K1Xl1lbZtG9fnda12jt7tCE+NtkDrW4YnkoD4JNwRQ4Csh15GIyTBiGQUujJbWja9NibQtyLc660zc+ciMbP9zIS21fwJacTQGwbtZystIzaX9dB1q0aEHNJjXJd+TjwMGO+B0c2XuEUfeNci20MZvNmM3OH7nw8HCCg4NJS0sjPDy8VFw+Pj7k5OTg5+dHTk4OPj4+lfq5CCHEpTB37lxycnJ4/PHH+eHQD/ya+Suv3viqu8MS4qKQEWpxxfMyvAgxheBleGFVVnxMPoRYQujm343mNMeWbePrl78mIf4EnsnZLAOKgC+BfR9vYvUXP+PdwZs0WxqFupC9B/eyPm493e/oTqpyltgD51SOszWtMzIySEtLIygoqEw8zZo1Iz4+HoD4+HiaN29eSZ+EEEJcGsXFxUyZMoXrr7+eDh06MHPLTGr61KR/i/7uDk2Ii0JGqIXAOQ3E3+SPVTtrV5uUiSKjiEjvSGqYa2D60cR/osfzEb9tWN4Y6Ad88uNefpj/AwCdu3fm0P8OoRyKTz74BE/Dk7oRdbnj1jtIPJrIz6t+xjAMDMOgb9++rnJ4y5YtIzo6mvDwcGJiYliyZAnbtm0jICCAO++80x0fiRBCXDSffPIJiYmJzJkzh6OZR/nmwDc8e82zWEwWd4cmxEWhqvpe8tHR0XrLli3uDkNUI1prCnQBeY487NpOvs6n2FFMS68WFAEe57QtATyBN9OnuI5ZsVKDGgSZgzAZJnwMH7yVNwHmAEJMIViU/AMinJRSW7XW0e6OozLJPfvKo7XmqquuoqSkhJ07d/Ls/55lwroJHH3kKHUD6ro7PLdQSlHV868rVUX3bRmhFuI8Sim8lTdWZSXXkYvSisyTmfgAcfw2Qs2Z5z5Aws4EItpEAFBIIcc5To4thxqmGti1nUJVSFpmGu9//T5GvoHVsBIdHU3nzp1ZtWoVW7dudc2VvvHGG12VQdasWcP27dtRStG7d28aN25cJl7ZCEYIcTl7+eWXiY+P55577qHEUcI729/hloa3sPLLleXet+S+J6oimUMtRAXOTgMJNgUzd9Jc6rdpyWClWIlzZHolMAgotJh4q9dbHFh9oFT/DDI4ZD9EakkqefY8ssiizfVtuHXErdx2321s2LSBlJQUALp06UJsbCyxsbGuZDolJYVdu3YxevRohgwZwjfffOOag32usxvBjBs3jsjISOLi4i7tByOEEH/CihUrCA0NpVOnTny651NS81Pp6uha7n1L7nuiqpKEWog/kHoylY/f/5hl333FLSOHM8BsxhP4h9lMzW5tsNsdlBSWMH/YfJZPXF7q5m/HTiKJnLCfQHtpLDUtnLKfIsPIwAgySMpIqvBrv3379tG6dWvMZjNBQUEEBweTmJhYbjvZCEYIcTn65ZdfWL16NbGxsZjNZmZumUmT4CZ4Z3mXe9+S+56oqiShFuIPTJgwgWHDhhFZJ5I5M9/hWFE6J0tO8Uv+ERb/9DELflqAl58XBVkFrF+4njl3ziE3LbfUOXLI4ZDjEKdKTlFgL+DXtF85nHQYo5ZBpiOT9RvXM2vWLL788ksKCgqcfXJyCAgIcJ3D39+fnJycMvHJRjBCiMvV5MmT8fb25v777ychO4F1J9YxKnoU+fn55d635L4nqiqZQy3EH9i8eTNr165lypQpv9suICSAjIQM6rSuw6TrJzHs3WFs/mQr69/7BYctG8PsT5dhbRn0yl3sXLKTDjd2IMWUQo22NWjfrT0hHiFsWLmB5cuX069fP1mwIoSoksaMGcPcuXMpKSkBoE2bNgQFBbH62Gq8IrwY3m44b//8drl95b4nqipJqIX4A783N69IF5HryKXQUUiuPZeVP60kvGs4y75bxrRbZ2AvDgY+B2Jw2OJY++4gTh+cSp9/9cajkQd5JXmUWEs4YT9BAQU0bNeQbz/+FnCOzGRlZbneKzs72zUicy7ZCEYIcbkYM2YMs2bNKpUY79q1i4effJhNpzZxb697CfIKqvC+Jfc9UVXJlA8h/gZP5UmwEUyQKYggcxC9b+5NE+8m3BJ1C/ZiT3BVrvYArgNGcygugYadGpJFFsf0MRIzEsl2ZHPCdoJVO1dhDjGT78inWbNm7Nq1C5vNRkZGBunp6dSpU6dMDLIRjHAXpdQLSqlEpdSOM48+7o5JuNfcuXPLjDJrrVkUv4gSewmjO44GKr5vyX1PVFUyQi3E33Rumb18nY8nnjSv3xzIA2LOaXkCKEE78lk7fy0ATbs3JWlPEoWnC/FVvgQGBXJdn+s4XnycsOAwIupFMHToUEpKSmjZsiWbNm2ic+fOPP300wQFBREYGEh2dja7d+9m27ZtmM1mTp06xeHDhwGIiIigb9++ZWKWklPiInpTaz3R3UGIy8PZaR7n0x6aOuY6/Lz4Z9R1qsINrGrUqEGrVq2YMWMGhmHQp08fDMM59icbYInLmWzsIsRFZtM28hx5hFobYrMtpXTl6pUo0+1MPv0iSqkyfQMJJFAFYjFZCDYHE5AfgKXQQmSdSIqKipgzZw533303YWFhrj4//PADVquVa6+9lszMTD788ENGjx79uzH++OOPeHl5ERMTQ1xcHAUFBfTo0eMifQLiQlX1jV2UUi8AuX8moZZ7dvVmsVjKJtUNgOEwv998hrcbXvlBXYZkY5eqq6L7tkz5EOIiMyszAaYAHhxxN0oNhvMqV3sF2Hmr11v8uvHXMn0zyeSYPsbhhMOMunUU8Znx5Afnk25Lx2wxExoaSnZ2tqu91prdu3fTunXrPxWjlJwSF9FYpdQvSql5Sqmg8hoopUYopbYopbacrb0uqqeHHnqo7GBBR/B0eHJXq7vcE5QQlUASaiEukVkzZjJq1B2YPQYAnpjN/+CuETcw+ctJtLq2Fe89+B7zh88n5UjpBEOj+XTqp+zfup/3J7/P0ZKj7C3ay57TeziRfIKIiAhX2+PHj+Pr60tISIjrWEZGBrNnz2b+/PkcO3as3Nik5JS4UEqpn5RSu8p59ANmAY2AdkAyMKm8c2it52ito7XW0ed+uyKqnxkzZhAbG+t6bg4yo1oqxsWMw8tDppWJ6kvmUAtxCc2YMY0ZM6ahtaZAF5DlyOLuvnez9qe13PnEnWSbs5nScwodBnbg5idvxifYhw/HLGLPR5spAH6e+Q1ZGZmMnjKGdYvXccP1N5Bn5GHWZkzKxM6dO0uNTvv6+jJ+/Hi8vb1JSkpi8eLFjBkzBk9PT/d9CKJK01rfdCHtlFJzga8vcTiiChg5ciSzZs3iww8/5EDtA7z484uM7DDS3WEJcUnJCLUQlUAphbfhTU1TTT786EP6/KMPH73+ESfjTvKfL/6Dw+7gv1f/l7d6vcmxjzazDCgClgEHPlrLCwOfJ6h5EERCfFE8x4qOkWfLY+/evaUSarPZjLe3NwDh4eEEBweTlpZWJp6zJacAKTkl/jKlVO1znvYHdrkrFnH52LRpEwBXRV/F21vfplfjXjQKbuTmqIS4tCShFqISGcqgTlAdPlv8GdPmTmPP5j289o/XeODBB3j222dJ3XysTKG9MUBC3CFCOoWQ5EgiuSSZXUW7+H7v93gGeuLj91synJeX59r6PCMjg7S0NIKCyk5rlZJT4iKZoJTaqZT6Bedf2/HuDki438aNGwkODmZn8U6Sc5NdpfKEqM5kyocQbmA2zIx9cCzXdbuO1ya8RufWnSlWxTyr/1VOoT3Id+hSpfbqNqrLwV8O0qBpAw4WHaS+pT5ehhfHjh1j5cqVGIaBYRj07dvXVQ5PSk6Ji01rfa+7YxCXn02bNtGpUydmbZlF/YD69G7c290hCXHJVWpCrZTqBbwFmIB3tNavnff6PcDTZ57mAqO01vGVGaMQlal1i9Z8MP8DinUxG3ZuwAeI47dCe/WAG4ApQJs+bfCv6Q9AIYXU7VMXH3zYXbSbVHsqjcyNaNaiGS1btgTAZrMxf/58/ve//+FwOGjZsiXh4eEUFBTw6aefkpWVVaYG9Zo1a9i+fTtKKXr37k3jxo3LxCw1rIUQFcnNzWX37t3E9I9h1tFZvHrjq5gMk7vDEuKSq7QpH0opEzAD6A20BAYppVqe1+xX4FqtdVvgZWBOZcUnhDtZlIWZ/51JgWEwiPML7UG+STH91umk/ppaql822SQ5kjhcfJjNRZvZVbiLXFsuACaTiWHDhjFq1ChiY2M5dOgQCQkJxMXFERkZybhx44iMjHRtrZ6SksKuXbsYPXo0Q4YM4ZtvvnFNHzlXRf2FEGLbtm04HA4SaiVgMVm4/6r73R2SEJWiMudQdwIOaa2PaK2LgcVAv3MbaK3Xaa0zzjzdAEQgxBUgOTmZ5cuXs2nzZszh4dwGeAL/MJvp9uDt/N+GV8hIzGDSjZNY+vRSclJyXH0dOMgkk0R7IrsLd7OuYB1Hi47iwIHFYnG2cThcyXFFNaj37dtH69atMZvNBAUFERwcTGJiYplYpYa1EKIimzZtAgusylzFwJYDqeFTw90hCVEpKnPKRx2cU0LPSgCu/p32DwDflfeCUmoEMAKgXr16Fys+IdxmwoQJDBs2jPbt23Ps+HFeffVVXnjhBW4bOpgXZ7xIti2bTcM2kVaYhjIUr3V5jZgHY7h+zPVY/awAFFNMCink2HLIsGWQVJxEM0szlsxfQnp6Oh07diQiIqLCGtQ5OTmlalz7+/u7KoGcS2pYCyEqsnHjRkKuCyGtOE0WI4orSmUm1GX3WYZy991USl2PM6GOKe91rfUczkwHiY6Olr07RZW3efNm1q5dy5QpU0odXzhvIQvnLXQ9b9elHS998xKbYzfz3avf8UrHV+j5eE+6DOuC2eL8cS6kkJOcJMeWQ4pOIWZoDPWox2effMbp06crjEG2wRVC/F0bN23ENthGVM0oukR0cXc4QlSaykyoE4C65zyPAJLOb6SUagu8A/TWWpctoCtENfR785Dtdjs33HADHhYPps+fjsnHRK2mtWg9uzWbd27m65e+ZtWsVfR5tg9H1v/K+oU7cdiyMcz+dBnWlofeeIBEcyI+dXw4cOCAqwa1n59fqRrU/v7+ZGVlud43OzvbNRJ9ror6CyGubCdPnuSEPgFWGN1xdNktyIWoxiozod4MNFFKNQQSgbuBwec2UErVAz4D7tVaH6jE2IS4bBmGwZAhQ3jkkUfo3r478xfM5+qeV+On/IjoEEHrJa3ZvGYzCx5YSF6qN/A5EIPD9iNr370feJc7/3sHu/bt4rqY64hoHEF8fDwxMTGlalA3a9aMpUuX0qVLFzIyMvjmm2/Izs4GoGXLllx//fUsX76cffv28cILL9CxY0fCwsJo3rw5mZmZTJ8+ndDQUAAiIiLo27dvmWuRCiFCVF+bN2+GjuBj8mFwm8F/3EGIaqTSEmqttU0pNRb4AWfZvHla691Kqdgzr88G/gOEADPP/GZr01pHV1aMQlyOlFI89NBDdOvWjbvuuou+t/Tl8ccf56X/e4lgz2ACjUDqX1uf2ZkfgGtbGIAOwCDWzZ9N7eY1qdW8FjkNctA1NKu+XcWmLZsICQpx1aCuUaMGrVq1YsaMGSil+Pe//02rVq2w2+088sgj+Pn50ahRI15//XWWLl3K6tWr8fHx4aWXXqKoqIjg4GBiY2N/91rOVgiJiYkhLi6OuLg4evTocSk/PiFEJfnfxv9BSxgaNRRfi6+7wxGiUlVqHWqt9bfAt+cdm33Onx8EHqzMmISoKlq2bMmmTZt44okn+OKLL/jPf/5DDWsNgowggs3B2G3ZlF52UBOYgHa8ReNujanVvBaFFFLoXUitO2pRy6hFa8/WeHp6unp0796d7t27l3pfh8NBmzZtqFWrlmvR4rBhw+jUqRN79uzBy8uLoqKiC7qGffv2MXz4cMBZIWTBggWSUAtRTXyd+DU0gIc7P+zuUISodLJTohBViJeXFzNmzCA7Oxt/f38KCwv57rvv6N+/P2aPQGwl524LAxCHMnyZ2X8mYY3C6HpfV6L6RpHnmcdhx2FSClLwOeHD7DGzWfTeImrXru3q6XA4mDNnTqkKIefavn07rVu3dj3PyMhg9uzZeHp6csMNN1C/fv0y8UuFECGqpxJbCYeDDxNeFE6LsBbuDkeISleZdaiFEBeJv79zx8TZs2fzj3/8g6FDhzJ82ECUGkypbWHUYLre147nf3meax66ho0fbOSFti/w1YtfkXo0lWyymTl5Jps2b+Kx/z7m2hQGnHO3Y2Njeeyxx0hMTCxVIWT16tUYhkGbNm0A8PX1Zfz48cTGxnLzzTezdOnSCx61FkJUffPWzEP7a/qF9/vjxkJUQ5JQC1GFPfzww7zwwgssWrSIVav+x4AB1+DhMQDwxOwxgHtH3sybUycR4RFBu37tGP35aMZ9Mw6HzcGbPd5k+q3TWf/+ekYsHcHSOUuI8ArAUIpgiwcPjxkDgNVqpUGDBhw6dAiAHTt2cODAAQYMGOBaxW82m/H29gYgPDyc4OBg0tLKFuk5WyEEkAohQlQjMzfPhBx4qPtD7g5FCLdQVb32bHR0tN6yZYu7wxDCrdasWcPgwYM5deoU8+fP55577gGctaULHAWctp/mZPFJDpccJhXn9uXFBcXMu3ceSbuTKMwuIKighI9wzsL+EbgfGDBqFFPeeosFCxZw6tQp7HY7u3fvZvjw4fTp04dVq1axdetWzGYzHh4e9OjRg9DQUObNm0dUVBR79uxBKUXv3r1p3Lgxy5cvx9vb27UoMTMzk/T09Cu26odSauuVtvBa7tnVz+H0wzSe2hiPdR4UfFeAyWRyd0iXPaWU1P6voiq6b8sItRDVwDXXXEN8fDwDBw6kQ4cOruNKKbxN3tT3qE8brzZ09e5KR4+O+ONPQVYBx7cd5/GVj+NVbHfVB/HgbH0QmP/2bN6Y9QaNGjXiqaeeIigoiE6dOvHhhx/y6quvsn79erp06UKPHj3QWvPTTz/xySef0LVrVw4ePMjo0aMJCQnhww8/xOFwEBMTw+HDh5k6dSqHDx8GIDIyknHjxhEZGfm79biFEJent7e+DRo60EGSaXHFkkWJQlQTwcHBLFq0CHCOTD/yyCPceuut9OjRA6UUPiYf6hv1CTOHUcujFs9Mf4aud3cloFYA2XZHOfVB4C2Hpua9NTHMBpkqk3HjxlFSUsK8efO45ZZbXNNAWrZsScuWLV3916xZQ+vWrTGbzQwePJj333+fxMRE6taty7Bhw1ztpk2bJlU/hKjCCkoKeHfbu6gDiu5Xdf/jDkJUU5JQC1ENZWZmsmLFCqZNm8ZTTz3F//3f/+Hh4YGhDHxNvmSdyuLHj37k2+3fUmwU4282iLM5zqsPAv5mg1xyibfF82v2r+z9YC+eOZ50v7o7ERERHDp0iE2bNhEfH094eDg9e/bEy8uLnJycUlVB/P39XXOnzyVVP4So2pbsWUJ6YTpshE53dHJ3OEK4jUz5EKIaCgoKYvPmzYwcOZIJEyYQExPDkSNHXK9PfGMiw4cNp1O9TlzlexW3PjCIwapUfRAGAS0H/fYPZLaRTZ2hdYh8IJI1R9ZwOOkw0dHRjBs3jtjYWHx9fVm+fDmAzA0U4goxc/NMahg14Ffo1EkSanHlkhFqIaopb29vZs+ezU033cRDDz3ETTfdxIEDB0hJSeG9995j9+7dmJQJf5M/C2a9R6xhZcDc98i02fABfBrX4OC6IzxW43kctmwMsz9dhrVl4BsDSA9PZ9H/t3fnYVWVa+PHvzewUZlERI9K5JQ4gBPidDTTSk3LBjUzy7Rz0hxPdl6r32l4+72nU1faOWbmlFNlORSayjGzwTcHLJw4oiCYpJkKpTmByCDs5/1jbQkBY5uwt8D9ua59sYdnrXWvBXvtez/c63n2LePeXvcSZsLw8fChU6dOLF++HLB6pE+fPs3ChQvJz88nLi6OgQMH0qZNG6KjowtHANm5cyczZ85kypQpHDt2jNjYWObPt+Z60unLlbqx7Unbw44TO4j6JQqPBh4lxqpXqjrRhFqpKm7o0KF07tyZI0eO4OXlxbRp0xgxYsQVk7h4iicL5y5i/px3yCzI5Omnn+brTZs5mpwNrAE6Ys/fwfYlo7Hbo2ncMZTa3Wrz+S+fc8j/EK1qtuJ04mnq168PQMuWLVm1ahWjR48mNzeXnJwczp07x/Hjx3nwwQcLt3vmzJnCi5gSExNp2rSpTl+uVCUxb/c8fGw+nNt8jq5duxYOo6lUdaQlH0pVA40bN6Z3794ArFu3jjlz5iAiJW5eHl7UsdXhvdnv8WPKaSgc+yMXOALmIeLe30Nw02Dq31Kf/6z9D5O7Teb5159nbcpaGt/WmFx7LvXr1yciIoKFCxfy4Ycf0r9//8JYYmJiSEtLwxiDh4cHHh4ezJo1iyNHjtC8efMy9yUlJYX27dsD1oWMKSkp5X68lFK/7Wz2WZbvX87QsKGkJqZquYeq9jShVqqaeffdd2nUqBHe3t7MnDkTu92OMaaU2wUoHPvjD8A44A2MPZd6zesB8FPyT2SezCTzVCZNhzTlG69v2HB+AwezD9KlRxcmT56MzWZj7dq1NGvWjJtuuol7772XRo0a8eOPPxIUFMTEiRP5y1/+wogRI8jKymL+/Pm8++67HD16tNT49UJGpdzv/YT3yc7PprtXd0Drp5XShFqpaqZ3794kJCTQv39/pkyZwqBBgzh16lSJdjZbINZYH0XFIuLH691ft2ZZXPotT6x4gl0rd5HxcwYAbz7zL7oGtMHHqxbBNWqQsO8/pU5fvn//fiIiIgof+/n58dRTTwFw8eJFVq9ezblz51i6dCmzZs1i6dKlZGdnF7bftm0bs2bN4ptvvikcvq+47Ozsqy6vlPp97MbO3F1z+WPoHzmdZF0PERVVreYnUqoETaiVqoaCg4NZt24db7/9Nl9//TUHDx4s0WbMmEcQGUHRsT9ERvD4k8PY8v0W/Gr54VfXj4XDF+Jf35/Vz61m1dRoDi3Zzpp8O7nA6vx81s5fwBNP/ZmGoQ0LE1+73U5ycvIVCbWXlxf79++nXr161KlTh6CgIDZu3Fhi4hdfX1+OHDlCYmIiI0eOpEePHnz66afY7fYS+3C53lonjqk4IjJZRA6KSJKITHd3PKribTq8iUNnDjEhagI7d+6kVatWBAYGujsspdxKE2qlqikRYdKkSRw9epSePa3Sjs8//5xLly4BMGfO24wfPxSbbQhQA5ttCOPHD2XxvEU0yG3AD3t+4KOvP+KNuDfoeH9H9n26j71LtrPcWFXXeUB3YLmBfy9ewboD68j0y+RiwUUOHz5McHAwAQEBhfGkp6eTkpJCZGQkWVlZnD59mrS0tBL10i1btmTDhg1ERESQlJREZGQkQUFBnDhxosQ+ar11xRKRPsB9QDtjTDjwTzeHpFxg7u65BPsEM6T1EHbs2KHlHkqhCbVS1V5wcDAASUlJ3HXXXfTq1YsffvgBsJLqvLwzGGMnL+8Mc+a8DcCMN2YwetRo+jTrw7BbhvHKi6/Qb0w/svi16voC8B6QBGQUGDybepISmkJMRgyf7f6MFq1bXDFe9YoVK0hLS2PZsmXExcVxzz33kJeXh7+/PzExMWRmZpKVlVU4ffn69ev5/vvv6dmzp04c4z7jgdeNMbkAxpiTZbRXldyx88eIORjDEx2f4GT6SX7++WdNqJVCE2qllEN4eDgrV67kwIEDdOjQgejo6FLbpaen8/777/Pss8/iKZ7U86pHR9+OvPG3N/Dl16rry5cxhgP+QPJXyfwY/yM/mZ+w97fzY8sfefjJEdi8gxARpk59ns2bt/Doo49Sr149vvzyS+Li4li5ciX9+vWjUaNGZGdnM2PGDHJzc7HZbNStW7fUMagv105v375da6crVhhwq4jsEJEtItLZ3QGpirVgzwKMMTwZ9SQ7d+4E9IJEpUDHoVZKFfHQQw/RpUsXRowYwbBhw5g0aRJvv/32FW2mT5/OqFGjSoxj3fbmtjRv146H9+1jBVZPdSwwQqD5ve0RD+GDcR+Qn5NPu3vaceb4WfZ/ehLMamAvxmzkq6+2MmLEI3Tr1pUGDRpwxx13UKtWLbZt20a3bt3w8fHB39+f2267DYBbb70VgIyMjMKeaPi1drpfv340aNCA2NhYunXrhq+vbwUfwapHRL4CGpTy0gtYnyF1gG5AZ+BjEWlmik2VKSJjgbEAN998c8UGrCpMXkEeC+MXcnfY3TQJbMLcnXOx2WzExsby7bffEhkZWVg+dpkxho0bN3Lo0CFsNhv333//FecOpaoK7aFWSl2hadOmbN26lb/97W+0bt36iteK9k6X5rONGzlfowZDvLyoAQz28qT1n3oz+t3Hueele3h+x/OMXTmWWrVrsX/9ETDLgU5AEDAf+C927kwkslMkQ4cOpWXLlmRmZpKRkUFCQgJhYWGANXFMYmIi+fn5nD17ljNnzhASElIYx+Xa6ZYtWxY+TkhIoFWrVuV/wKo4Y8ydxpiIUm7rgOPAJ8ayE7ADwaWsY4ExJsoYE1WvXj1X74IqJ2uS1/Bz1s9MiJoAQFxcHI0aNWL06NFMnDiR/fv3lxgxKDU1ldOnTzN58mQGDRrE+vXr3RG6UhVOe6iVUiXYbDZee+21wscff/wxJ0+eJDU1tUTvdFENGzZk3PjxiAgzZszAbuz8mPcjSTlJpNvTyZIsGrZpSMM2Ddk47XOsfuw1QF+syxjDKCjI4EDOAX7O+5nuPbrzzH89Q+3atWnTpg39+vVjyZIlfPLJJxw9epRXXnmF4OBgBg4ciIeH1T8QExNDeno6/v7+9OzZk+joaL744gsCAgIYNmxYRR+66mYtcDuwWUTCAG/gF7dGpCrM3N1zaRrYlP639Cc/P59du3Zx6623UqdOHQAiIiJISUmh6Jemy19uRYSbbrqJnJwcMjMzr/iPklJVgSbUSqkyrVmzhpUrVxIUFMSZM2eYOXPmb7bv0aMHAB7iQZMaTbjZdjOpeamk5KYw87/eJP79rQiGWjTgIo8Dw4AfgO/w8KrNHwb/gU+yPiHjmwwiekTw5CNPYvOwkZ+fz9NPP42Pjw9paWksX74cEWHXrl20aNGCzZs3c+jQIZKTk5k/fz533HEHo0aNIj09nWbNmrFw4UJEhAEDBnDLLbeUiDs7O5vo6GjOnTtHYGAgDz74YKk12qrQEmCJiCRifSMaVbzcQ1UNiScT2Xp0K9PvnI6HeJCUnEROTs4VQ18GBASUGG0nMzOT2rVrX9FGE2pVFWlCrZQq07Jly+jatSvPPvssISEhLFu2rLCO2RkeHh6E1Qxj5l/fJHnJFtYYQ0/gLc7wP8zkAulYly4uI+y2UAAO7z/MsdRjdH+4OzHnY2hTow3NvJvh4+MDQKNGjTh37hyNGze+Ylvdu3fHy8uLnJwcdu3aRYMGDUhISCAhIYGePXty/vx5nn/+eVauXElGRgazZ88uHOnk1KlT9OnTh549exIbG0tsbCx9+/bVRPsqjDF5wKPujkNVvHm75lHDswaPd3yciRMn8s477wDw1ltvkZuby5w5c0pdTr9fqepCa6iVUmXy8PBgypQpxMXF4ePjw+23305SUtI1r2flosUsN4Y+gA2YCsRQgB/LgQ9o1v0PjIt+klOHT3FkxxEih0SCDY5znC9yv+CDnz5gZ8ZOLuRf4OjRo6Smppa4CAqsD/ELFy4AkJCQQOfOnZkwYQITJ06kU6dOtGjRorAnLSgoiHHjxjFu3DgCAwNLHbdaJ4hR1VlmbiZL9y3loYiHePmZl5k3bx4FBQWANUnTvHnzmDhxYomLg8HqkT5//nzh49LaKFUVaA+1UsppkZGRxMfHEx0dTXh4OAA5OTnUrFnTqeXPXbpE8fS3J5AFtOt3C3n5eQAc+PIA9nw7uz/eDUBgo0DC+4fz/bHv2Ri7ER8PH07vO824seMKe4pjYmLIy8sjNTWV/fv3Y7PZSE5Opl+/fjRt2pTatWvz5ptvEhsbS0BAAIsXL2bKlCnk5eWxdOlSzp07R2xsLE888QQAixcvZtWqVWzbto3U1FSWLFlCUlISO3bsYNOmTYSHhxcO5RcdHc2ePXs4ffo0kZGR3HvvvU6VlAByjb8CpVzuZNZJuoR0YULUBG4ddmuJXmdjDAsWLCAiIoIhQ4Zc8VrLli3ZuXMnERERnDhxgpo1a2pCraokTaiVUtfEz8+Pxx9/HLB6fwcMGMDs2bMZPHhwmcsG2mzEXrpEnyLPxQL+Hh6c/+E8Rw8dZdGwRbTq34rWd7SmXvN6iFg5Z/Qzq/n2/X3Y8zMQT19a3d6YtI5pnDx2kguXLvDQ3Q+RnZ3N+vXrGTlyJJs3b2br1q2sWLGCRx+1qhLOnj1Lnz59CA0NpUWLFoX7ULduXcLDwwuHAOvbty8XLlwgMDCQ5cuX88orr7BlyxaGDx/OqFGjiIuL+zX+2Fjq1KlDq1ataN26NWfOnOHTTz9l8uTJhRdKFm3brFmzwpISrDoXpW5ozYOas+mxTQCFM6kWl5+fT3h4OPXr12f3buuLcFRUFC1atODQoUPMmjWrcNg8paoiTaiVUr+bn58fISEhDBkyhHHjxjFjxozfrC1+ZMwYHp47t9g41cLIceOY9vZ0xowdw+Gjhzn1n1NsmrEJPCHstjDOnTjPwS1nwawBemIK3iL5y78zbcB02g6MoCCvgGPLjtGrfS+8fbwJCQmhbdu2vPbaa6SnpxMQEEDjxo1JT0+nd+/enDhxAn9/f/z8/IiIiGDs2LFkZmayevVqdu/eTd++fTl+/DiNGzfGy8uLWrVqERQURF5eHqGhoVfsU0pKCmFhYURERNChQwfee++9wqnQS2s7evRogMulJc517St1g7DZbKUm1TabjV69egFWIn2ZiHD33Xe7LD6l3EUTaqXU79a8eXO2b9/Oiy++yBtvvMG2bdtYuXLlFVf+F/X8iy+ycNEihtjtnMvPJ9Bm45ExY3jbcUHTtL9Po33b9myM38iFwAvsPbiX+M3xLFseA2YdFPZtTwU6cXTPAwQ3PkHiqng22D9lnse/CIm6hc3Jmzl14BSHDh3itdde49VXX6Vjx4789NNPxMXFsXfvXlq1akVoaCiXLl3C398ff39/WrVqxYEDBwBIS0vD39+fd955h9OnT9OkSRMyMzPJzMykRo0ahfuUlZVFQUEBtWvXLpze/Oabb3ZqKnT0OhZVyYwZM4Z58+ZdUfYhIowZM8aNUSnlfnoyV0pdF29vb6ZPn87nn3/OqVOnWL58+VXbTp8+nfETJnDm0iXsxnAmL68wmQYIbRTKqMdG8eHMD2nr25ZB7QcxetxoMBeglOpre/55jny8h7/aDbnAs3b4eWcqG2I+ZU/qHtr0aMPgSYMZOWok27ZtK6zffOGFF9i9ezfJyckkJSWRlpbG2bNnqVu3LllZWcyaNYvQ0FCeeuopHn30UXJycoiPjwesEpHi43DrSAaqupgzZw7jx4/HZrMBVs/0+PHjrzrKh1LVhfZQK6XKRb9+/di/f//li+1ISEggNDSUoKCgwja7du1i+/btTo1jXdezLjU9ahLgGYCXV23y82OhWPW1H8LHmMJnXwZ6AQ/s/IHcWt40imhEC/9I7PkZQA36DezNpEmTEBHOnj1LfHw8OTk5fPTRR8SsW8ee2FgyCwrYvH49rSIjufPOO+nSpQt333038+bNIzo6miZNmhTWXwP4+vri5eXF+fPnyczMxNfX96ojGfj6+haOwevowbZf84FWys3mzJmjCbRSxWgPtVKq3NSvXx9vb2/y8/MZPHgwHTp0uGKIudjYWIwxZd5iY2PxEA/8PfwJ8gxi1JihiIwAvgYuWT9lBFmYUkcNyci3g4dw+Nss7PlrgFxgHV9siOf+sYM5knGEg4cO0rVrV8aMGUPstm2kbN3KPwoK2ACsvHSJQzt28NbMmVy8eJHvvvuOtm3b8tJLLzFq1Ci8vb0Lt9eyZUvy8vJITExkz549hISElJgKvWjbhIQEgMs/c8rz+CullHIP7aFWSpU7Ly8vPvroI4YPH85tt93Gyy+/zAsvvICnp+c1r8smNhbOWYAn41myaAj5l87h5VWbgaNvY+t764nNLygxaogvkJVpA1bwa692Z+BhYhbNZ+PyDXh6euLt5Y0gZJ89xxigNtAbK8t9BJi/bRuPPfYYISEhTJo0iYMHD/LZZ5+xZ88evv/+e8LCwhgyZAjR0dEkJycTGxtLp06dGDRo0BVToUdFRdGoUaPCqdDj4+Mvzx5XstBaKaVUpSOurP0TkbuAtwBPYJEx5vVir4vj9YHARWC0MSb+t9YZFRVlLg/Ro5S6sWRkZDBhwgSWLVtGr169WLduXWFJyO9RYAq4YL9AjskhpyCHZ/4ylW0LV7Hc/DpqyMOAZ3hD0pJ+wuqZthVZwyWgBv/47hUQEIRACWTSLROv0hLsFXiOFJE9xpiosltWHXrOVsq6kFOvvaicrnbedlnJh4h4AnOAAUAb4GERaVOs2QCgheM2FpjnqviUUuUvICCADz/8kKVLl1KvXj0CAgKua32e4kltz9oEegbi5+XHrNlv03fsIwz28qIG8ICXJ2dsnjwb/RweXgFYKXZRVv+1vcCOX10/fOv6cinoEgFeHqW2DLTZUEoppcriyhrqLkCqMeawMSYPWAncV6zNfcBSY4kDAkWkYfEVKaUql5EjR7Jq1So8PDw4fvx4YR3x71VDahDkEYS/pz//nD2DxIs/kJydwsAnhzFozH00C2lGv9E9oJS664bhAWyatemK9bUb1Z0RckVLRgjc86dhZNmztCdJKaXUb3JZyYeIDAXuMsY84Xg8EuhqjJlUpM164HVjTKzj8SbgOWPM7mLrGovVgw0QASS6YBfKQzDwi7uDcFJlihUqV7waa8UIBuoCflc+7YE1mMblnwBcAA4WWz7UA+rZQTzA2OEUcKyC4/U1xtSrwG3ccETkFHC0yFOV6W+sIlTn/dd9r74q8/43Lu287cqLEqWU54pn8860wRizAFgAICK7K0sNosZacSpTvBprxXDE2sTdcTirssVbXop/EFWmv7GKUJ33X/e9eu47VM39d2XJx3Gg6Dy8NwFpv6ONUkoppZRSNwxXJtS7gBYi0lREvIHhQEyxNjHAY2LpBpw3xqS7MEallFJKKaWuictKPowx+SIyCfgca9i8JcaYJBEZ53h9PrABa8i8VKxh8x53YtULKijkiqCxVpzKFK/GWjEqU6xQ+eKtKNX9OFTn/dd9r76q3P67dBxqpZRSSimlqhqdelwppZRSSqnroAm1UkoppZRS16HSJNQicpeIHBSRVBH5f6W8LiIyy/H6PhGJdEecjljKirWViHwrIrkiMtUdMRaJpaxYH3Ecz30i8o2ItHdHnI5Yyor1Pkece0Vkt4j0dEecReL5zXiLtOssIgWOsdrdwolj21tEzjuO7V4R+W93xOmIpczj6oh3r4gkicgWV8dYJI6yjuszRY5pouPvIMgdsbqbiEx2HKskEZnu7nhcTUSmiogRkWB3x+JKIvKGiKQ4zt1rRCTQ3TFVNGc/G6oaEQkVka9FJNnxPn/K3TGVK2PMDX/Duojxe6AZ4A0kAG2KtRkIfIY1lnU3YMcNHGt9oDPwKjD1Bj+ufwTqOO4PuMGPqx+/XhfQDki5kY9tkXb/i3VB7tAbNVagN7DeXcfzGmMNBA4ANzse179RYy3WfhDwv+4+xm46Vn2Ar4Aa7vyduXH/Q7Eu2D8KBLs7Hhfvez/Ay3F/GjDN3TFV8P5e03mhKt2AhkCk474/8F1V2vfK0kNdmaYtLzNWY8xJY8wurFmO3cmZWL8xxpx1PIzDGhvcHZyJ9YJxvFMBX0qZFMiFnPmbBZgMrAZOujK4YpyN9UbgTKwjgE+MMT+C9X5zcYyXXetxfRhY4ZLIbjzjsWbJzQW3/s7c5U3gWdx7znILY8wXxph8x0N3fsa4SmU635YrY0y6MSbecT8TSAZC3BtV+aksCXUIV04BfJySvwRn2rjCjRKHM6411j9j/RfAHZyKVUQeEJEU4FPgTy6KrTRlxisiIcADwHwXxlUaZ/8OuotIgoh8JiLhrgmtBGdiDQPqiMhmEdkjIo+5LLorOf3+EhEf4C6sL1fVURhwq4jsEJEtItLZ3QG5iojcC5wwxiS4O5YbwJ9w32eMq1SmHKHCiEgToCOww82hlBtXTj1+Pcpt2nIXuFHicIbTsYpIH6yE2l11yc5OS78GWCMivYBXgDsrOrCrcCbemcBzxpgCkdKau4wzscYDjY0xF0RkILAWaFHRgZXCmVi9gE7AHUAt4FsRiTPGfFfRwRVzLeeCQcB2Y8yZCozHrUTkK6BBKS+9gPU7q4NVrtcZ+FhEmhX5j1OlVsa+P49V9lBl/db+G2PWOdq8AOQDy1wZmxtUphyhQoiIH1bnwRRjTIa74ykvlSWhrkzTlt8ocTjDqVhFpB2wCBhgjDntotiKu6bjaozZKiLNRSTYGPNLhUdXkjPxRgErHcl0MDBQRPKNMWtdEuGvyoy16EnPGLNBROa66dg6ey74xRiTBWSJyFagPVa9nitdy9/scKp4uYcx5qpfbkVkPFaZjgF2iogd6z1xylXxVaSr7buItAWaAgmO88BNQLyIdDHG/OTCECvUb/3uAURkFHAPcEdV+RL1GypTjlDuRMSGlUwvM8Z84u54ylNlKfmoTNOWOxPrjaLMWEXkZuATYKQbeviKcibWW8TxqSTWKC/egLu+AJQZrzGmqTGmiTGmCbAKmOCGZBqcO7YNihzbLljnDnccW2feX+uwyge8HKUUXbFq9VzNqXOBiNQGbsOKu7paC9wOICJhWO9dd3wRdiljzH5jTP0i54HjWBdtVZlkuiwichfwHHCvMeaiu+NxgcqUI5Qrx2fIYiDZGDPD3fGUt0rRQ20qbtpyt8QqIg2A3UAAYBeRKVhXurr0Xx9OHtf/BuoCcx35VL4xJsqVcV5DrEOwvlRdArKBh9zV2+FkvDcEJ2MdCowXkXysYzvcHcfWmViNMckishHYB9iBRcaYxBsxVkfTB4AvHD3q1dUSYImIJAJ5wKhq0FOpLLOBGsCXjs+YOGPMOPeGVHGudl5wc1iu0gMYCewXkb2O5543xmxwX0jlR6ceV0oppZRS6jpUlpIPpZRSSimlbkiaUCullFJKKXUdNKFWSimllFLqOmhCrZRSSiml1HXQhFoppZRSSlVaIrJERE46Rgoqj/VNE5FEx+0hZ5bRhFoppZRSSlVm7wF3lceKRORuIBLogDWPwTMiElDWcppQK6WUUqraEpH7RWShiKwTkSo9DXxVZYzZCpwp+pxjtuSNIrJHRLaJSCsnV9cG2GKMyXfMD5CAE8m6JtSqUhORuiKy13H7SUROFHnsLSIFjvuJIvJvEQkssqwRkQ+KPPYSkVMisr7YNt4RkR6O9v8q8vxUEfn/jvvXvR2llFK/n4jMFpGj17qcMWatMWYMMBpw6t/7qlJYAEw2xnQCpgJznVwuARggIj4iEgz04crp4kulCbWq1Iwxp40xHYwxHYD5wJuXHxtj8oBsx/0IrG+vE4ssngVEiEgtx+O+wIlSNtMViANygcGON1hx5bEdpZRSv4OINAV6A94i4v87V/MiMKfcglJuIyJ+wB+BaMesjO8ADR2vDS5SH1309jmAMeYLrNm3vwFWAN8C+WVtUxNqVWmISBMRSRGR90Vkn4isEhGfa1jFt0BIsec+A+523H8Y681TdJutge+MMQVYb6gFwNPlvR2llFIgIp0d5/eaIuIrIkkiEuHEov8D/AM4AIQXWV+0o+c6VkSOikhPEVkqIt+JyGJHGxGRacBnxpj4Ctkx5WoewLkiHWwdjDGtAYwxnxhjIkq59b+8sDHmVccyfQEBDjmzQaUqk5bAAmNMOyADmODMQiLiCdwBxBR7aSUwXERqAu2AHcVeHwBsLPJ4DvCIiNQu5+0opVS1Z4zZhXX+/AcwHfjQGPObIzeISDgQAXwEJFMkoQbaAoeNMT2B94HFwHOO9oNFpAYwGbgTGCoi48p3j5Q7GGMygCMi8iAUfmlq78yyIuIpInUd99thfWZ/UdZymlCryuaYMWa74/6HQM8y2tdy/LvnNBAEfFn0RWPMPqAJVq/xhlKW70+RhNrxJl0K/KW8tuPohXnfcVHMI2Xsj1JKVXV/xyqNi8JKqsvyKvCSMcZgJdQRAI4OjEBgpqNdNrDYGJPuKAm8COQZY2YZYzoZY8YZY+aX654olxCRy6UZLUXkuIj8GXgE+LOIJABJwH1Ors4GbBORA1j/lX7UGFNmyYfX7wtdKbcxZTwuLtsY08HRo7weq7Z5VrE2McA/serv6l5+0lFOEmiMSSvWfiYQD7xbHtsBBgOrjDH/FpGPgGVl7JNSSlVlQYAfVmJTE+s6lFKJSFesjo8OIjLH0X6f4+VwIN4YY3c8bg/Mcyx3E5DmSMJVJWeMefgqL13zUHrGmByskT6uifZQq8rmZhHp7rj/MBDrzELGmPNYvcpTRcRW7OUlwN+NMfuLPd8H+LqUdZ0BPgb+XE7buQk45rhf4MTuKKVUVbYAeAmrc2EagIhsEpHi16YAvAbcY4xpYoxpgpU0X665bos1YsNl7fg12W5f5L5S100TalXZJAOjRGQfVi/GPGcXNMb8B+vkOrzY88eNMW+Vskjx+umi/gWUNtrH79nOcaykGvQ9qZSqxkTkMSDfGLMceB3oLCK3A7dQcpzhvkANY8ymy88ZY34GfEUkCCuh3utoWxOoZYw562haNLlW6rqJ/rdDVRYi0gRY7xiazhXbiwe6GmMuVfB2fIHZQA4Qa4zRkg+llHJwjPLxJ2PMX90di1JXowm1qjRcnVArpZRSSjlDE2qllFJKKaWug9ZrKqWUUkopdR00oVZKKaWUUuo6aEKtlFJKKaXUddCEWimllFJKqeugCbVSSimllFLXQRNqpZRSSimlroMm1EoppZRSSl0HTaiVUkoppZS6Dv8HW2gluzqDHXEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,4))\n",
    "specimen.plot_circ(ax[0],tangent=True)\n",
    "specimen.plot_arai(ax[0])\n",
    "specimen.plot_zijd(ax[1])\n",
    "ax[0].set_title('Arai Plot')\n",
    "ax[1].set_title('Zijderveld Plot');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We notice that this tangent is slightly less than the initial slope, how does this help us? \n",
    "\n",
    "BiCEP assumes that the curvature, $\\vec{k}$ (1/radius with sign depending on direction of curvature, Paterson, 2011) of the circle fit is proportional to the calculated ancient field ($B_{anc}$). For $\\vec{k}=0$, our \"circle\" has infinite radius, and so becomes a perfect line. BiCEP tries to fit a linear relationship between $B_{anc}$ and $\\vec{k}$ for all specimens in a site. The $B_{anc}$ value can be extrapolated (or interpolated) to $\\vec{k}$=0 to give us our unbiased paleointensity estimate. In the case of the plotted specimen hw126a2, BiCEP predicts that this specimen **should** underestimate the site paleointensity slightly, due to its curvature.\n",
    "\n",
    "We can plot the relationship between $B_{anc}$ and $\\vec{k}$ using the method `site.regplot()`. We plot the expected field value as a red line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:36:13.314002Z",
     "start_time": "2021-05-15T15:36:13.062191Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots()\n",
    "site.regplot(ax)\n",
    "\n",
    "#x limits, y limits and y label are not set by this method as it is used slightly differently in our GUI.\n",
    "\n",
    "ax.set_xlim(-0.2,1.2)\n",
    "ax.set_ylim(15,50);\n",
    "ax.set_ylabel('$B_{anc}$ ($\\mu$T)')\n",
    "ax.axhline(36.4,color='r',zorder=0);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The green dots with black errorbars are our individual specimen estimates for $\\vec{k}$ and $B_{anc}$ and their 95% confidence intervals. The blue lines are our BiCEP fits to these data. Notice that these lines cross the $\\vec{k}=0$ line close to the expected field value, yielding an accurate and precise estimate of the paleointensity, without excluding any specimens! We can get a sense of the distribution of estimates for $B_{anc}$ using the `site.histplot()` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T07:35:24.589223Z",
     "start_time": "2021-05-15T07:35:24.432746Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots()\n",
    "site.histplot(ax)\n",
    "\n",
    "ax.set_xlim(30,40)\n",
    "ax.axvline(36.4,color='r');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that our estimate for $B_{anc}$ is close to the median value of this distribution, and well within the 95% confidence interval denoted by the black line. Our estimate is accurate and precise, with a 95% confidence interval of ~4 μT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data manipulation and choosing interpretations.\n",
    "\n",
    "You might notice that some of our specimens have larger error bars on their $\\vec{k}$ estimates than others in our BiCEP fitting figure. Let's investigate what's going on with these specimens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:37:12.906581Z",
     "start_time": "2021-05-15T15:37:12.493419Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(12,4));\n",
    "hw126a7=site['hw126a7']\n",
    "hw126a8=site['hw126a8']\n",
    "hw126a7.plot_circ(ax[0],tangent=True)\n",
    "hw126a7.plot_arai(ax[0])\n",
    "ax[0].set_title('hw126a7')\n",
    "\n",
    "hw126a8.plot_circ(ax[1],tangent=True)\n",
    "hw126a8.plot_arai(ax[1])\n",
    "ax[1].set_title('hw126a8');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For these specimens, our analysis might be slightly different. Our specimen \"hw126a7\" has a pTRM check (triangle) which is very displaced from the line at the 300 °C temperature step. This is a repeat of the 300 °C in-field measurement after heating to 350 °C in zero field. It indicates a chemical alteration of the specimen between 300 °C and 350 °C. We can use this by calculating the DRAT statistic (Selkin & Tauxe, 2000), using the attribute `specimen.drat`, and noticing that it is high (criteria vary, but 15 is considered a high value by any metric). Although we have already demonstrated the effectiveness of BiCEP without using this statistic, we have evidence that we should only be using the temperatures up to 300 °C for this specimen. We can do this using the method `specimen.change_temps()`, and we save this change using the method `specimen.save_changes()`. Note that our attributes, such as `specimen.drat` are affected by the change in temperatures.\n",
    "\n",
    "Our specimen \"hw126a8\" has a very early failed pTRM check, and fitting a circle seems like it would probably be inappropriate. We can elect to exclude this specimen as no part of the line is likely to give a good paleointensity estimate. This can be done by setting the attribute `specimen.active=False` Ultimately, due to its large uncertainty in the circle fit, it has very little effect on the estimate of $B_{anc}$ in the first place.\n",
    "\n",
    "The MAD statistic of Kirshvink (1980) and the DANG Statistic (Tanaka & Kobayashi, 2003, Tauxe & Staudigel, 2004) are also available using the methods `specimen.mad` and `specimen.dang`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:40:08.267063Z",
     "start_time": "2021-05-15T15:40:08.258624Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hw126a7 DRAT: 4.2\n",
      "hw126a8 DRAT: 38.4\n"
     ]
    }
   ],
   "source": [
    "#Printing the DRAT parameter of the specimen to \n",
    "print('hw126a7 DRAT: %2.1f'%hw126a7.drat)\n",
    "print('hw126a8 DRAT: %2.1f'%hw126a8.drat)\n",
    "\n",
    "lowerTemp=0\n",
    "upperTemp=300\n",
    "lowerTempK,upperTempK=lowerTemp+273,upperTemp+273\n",
    "\n",
    "hw126a7.change_temps(lowerTempK,upperTempK)\n",
    "hw126a7.save_changes()\n",
    "hw126a8.active=False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now run the BiCEP method again with these changes in place, and plot up our site results with the results for these two specimens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:40:28.007035Z",
     "start_time": "2021-05-15T15:40:09.129568Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pystan:947 of 60000 iterations ended with a divergence (1.58 %).\n",
      "WARNING:pystan:Try running with adapt_delta larger than 0.8 to remove the divergences.\n"
     ]
    }
   ],
   "source": [
    "site.BiCEP_fit(model=BiCEP.model_circle_fast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:41:11.894423Z",
     "start_time": "2021-05-15T15:41:11.060541Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#set up subplots\n",
    "fig,ax=plt.subplots(2,2,figsize=(12,8))\n",
    "\n",
    "#Plot our Arai plots with circle fits\n",
    "hw126a7.plot_circ(ax[0,0])\n",
    "hw126a7.plot_arai(ax[0,0])\n",
    "\n",
    "hw126a8.plot_circ(ax[0,1])\n",
    "hw126a8.plot_arai(ax[0,1])\n",
    "\n",
    "\n",
    "#Plot our plot of the BiCEP fit.\n",
    "site.regplot(ax[1,0])\n",
    "ax[1,0].set_xlim(-0.2,1.2)\n",
    "ax[1,0].set_ylim(15,50);\n",
    "ax[1,0].set_ylabel('$B_{anc}$ ($\\mu$T)')\n",
    "ax[1,0].axhline(36.4,color='r',zorder=0);\n",
    "\n",
    "\n",
    "#Plot our histogram\n",
    "site.histplot(ax[1,1])\n",
    "ax[1,1].set_xlim(30,40)\n",
    "ax[1,1].axvline(36.4,color='r');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We notice from our histogram that doing this data manipulation has very slightly improved our accuracy and precision- but the overall distribution has not changed vary much. We notice from our Arai plot for specimen hw126a7 that the uncertainty in our circle fits has become much larger by excluding these temperature steps. This is because we assume the uncertainty in the circle fit for the whole Arai plot, rather than just the segment we're looking at. In this way, we are penalized for excluding data from the Arai plot, without having to use some kind of \"length of the line\" criterion. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving data to MagIC format.\n",
    "\n",
    "Once we have run our site- we can save our results directly into the MagIC formatted data file. This will save results of the BiCEP method for our site and all specimens in that site. We can do this using the method\n",
    "`site.save_magic_tables()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:41:33.993075Z",
     "start_time": "2021-05-15T15:41:33.733637Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "30  records written to file  sites.txt\n",
      "566  records written to file  specimens.txt\n"
     ]
    }
   ],
   "source": [
    "site.save_magic_tables()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GUI\n",
    "As we think that using these functions for every site will be cumbersome, we present a GUI which performs all of these steps. The GUI can save figures produced, and also produces diagnostics about the sampler, as well as important diagnostic information about the sampler. We can use the `run_gui()` function to initialize the GUI. Note that the `%matplotlib widget` magic command is required to have the BiCEP GUI display plots correctly. Above figures can be set to the normal plotting style when rerunning cells using the `%matplotlib inline` magic command. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-06-10T18:45:55.988626Z",
     "start_time": "2021-06-10T18:45:55.963897Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YIHbObQXnFK7sMNBrjvcKa4sur1YrMeADwAvA6BgtqEirg9kUPSgy6ZsS1TlZjaKFIkVoGVu54LnHcE2XB5OOU3OJCCXEZvfUjqnGy7WU1yETptcxAjoBIBpwKjLVNEoLWyVNO/RFB8fEELpmXy41QkxxdlWQRomO7IV3uqzW2ED9BQqB0KsFU1Eqm49ikaFAG/bVsySyegF9IgRdb6mzRyrOVj+fqOozsRaPzo1Loh2vYY1EfnpqB5YhLyCqBPO8meAb5YagQalSOSmkkNq8F9SRYCeEuEnzi6Qz+DoCghFgj6LZchxfmmA164yUirFIZwqYQ7TZPZuV3KUoqj+iPrKOBijZfQU2HHJEJm046lOkXzCnVqLgIGWkDxsVt4ZIbpAaYMmtipKCTMkbch0lCVgigyWpcN5UWwc4FmmDfiE82yBJhw4QiG+kvaN4YYgJtyqiSsSmsZAli7pH4S8ClupChekoNSLGtQAbxW4d0II2+p8wl/AsOF3gRyx0X7TzHUQBtoiRo6ZA0t/AOmKMarLQ6SQfhE7vxXlXC0fkG4aAqBlcsR3/U6Dge6xed+inZgiU1vwwWG6wBQv7/qxDdzQ/PJR11x4VnYYbEVfcr0vk1gomN1InjAbXQB83OBKiEVhTm4H1UAxZKQwrqOGWMhRvkYtG9Qm1QymDYlEn9q0Majv+EVAirMo2eD+uGDBKLoRQUEdHR6KsqEnpsiEtOuu0YOmT6nXiVh1KtYoxdBIKnu2mU7ia1QMzvqx4YAxN/YO+4hxgY4bL2qFOHOk4L294sxBU/NXuXQUz3dK8ZUwzcTDENeo8qAVVORiODxNXauCCXUUPFV6hPmLGiuwRpgC5DtFUOCm4eZqI92FFCfIIUd7pHuXoAByiR0kS1WB72I4o5o4W1fP1EpjLWTWGzbqgMmGwVeRMZQ6TsUA/U95o2wJSozkDwQkUt6Y2TbS3S9xnPZj/Xtj0iRknWdoVeGWs4T3FaNuhxhqhEDPE03p1MqkxY6jW9wQ1BTu9shYrsyEDl08E4HVvKRDBVHH8khRJqgQB8biAhQOTZUEQyYNggvGRekcutwADKsMALHykEWqBeugP26kN9Xz7NCGAJxAd6jwsTT0MkgYKN6QsMGXGyuQvqqAYyisABkij9NFdTj3Za7bKugtYyOpJUfia2hhoExQQeoJSSFLqg11NpLEN6rKuvSjIsH6deRL3vFMHHgDJKTNpw7bUelUs6/FZwiZvZRnlrhNqzUJGLThNxVMkQgAH7IHo8UDhSN4mKwwKN4TFLUAuKGtU/bHKVwo5/hNhMUl5TuXSJIdDBdw2Qm/qESmPMhjHLaDDn2BTniAk7TS/0bfi3Sn7BwR0xjo0gEBCDYdJihhrmk1Fg5ChlDhREO5WTwCVpJLGG6x8rNko5zKUNrgewTUVeU2ncE9WtUmYSdxKIMGgiC+IGBAAHlAUDtAXUKsUhL0Mou/GJyly8vTzJI9e8WPi8tZcqpQJrO+yDlZP5Lrg8nQpCnohYXbr6Ks2I4TRmVDE1SjiqGMTggbWF8Q4WhBL0fn2YpvAAsoDAxEGRyKTMO8eVUeKWLXIRLIGJaM7Yu5q57FvZlJFmzxFmPVAdp4RW1m9STWwORgOObjVcDFHjfU4HluCifKSZKxOUyg18AI4RLca9vCKyw7UlkYtgmzbY3XgEUULDPzV6qAAckURdnxoSWlCq7p7IeuXr0ntdIyC7R3+1WBOnUBbWYaEnMi7I1nvpbwop5CpSeCC5rxR4hd7U8Iq7g0gji5h3QBeQpiJyIdYkmu46tVk0ngGdVIt2gLuT6l9jJ47nqSgp0iGDeguNFGtQiAXIpgXgnftbih7xOZpOMmzLZyGxRwSQHl/P0/8EkHiOEgY/3W/gAZypFOBEX4HtQnJ0nDZsdSqyuq9ziLVZ884EYBRS2mKYYhmw/IBbcA/3lMhQhXxUa3ZUUI4AK9h3BwKpCr3fiDZXW9WGB8oSvWA38ByAMgNTqi/wldkEykA+FcQmXpf1TUDp1WqyRTYvlUbGpwlTNpEfcOrib8NheKqy+pIDFTw3CAta9rR5NwOmhYYwq8B79J4QJTIggdm2+Y9gAGlSA5Kzw1VTD3i+weWb24l9cRU18lghEipz0NpTFd+tM5aMauV/GSHxOatbYQzjouLuHlMYB4b8BlIAxfImQpHrEAEIfjEicDGv+8sDlOz1EdR1x4jQUqXGPo9XV8Emw4xOvjVodZHp9U6uEH/HHS3KqignFoEXu+h6TQUF/ehQFC7YI4doqVeK4TBxbbwFtBBwqC6UC+peDtu02dR55xKpOZuxP8O4SBhIQEX1W/pBka5hRxA0j123JTWJr7ZkHGW/UH9Ize/PO0ocMcZmSpRJMJWRyuwy7yNwo8q86CrGhUukjoL8Zc36aL0IVOFoaKIuJCqLSZKJjxVFQSALlOye99TbAExG66CSnEpHSFB+E3VHA469ha1nDp1IwmRIeVm3qiv5qszjx68rbB+ovrFTkhsdeL/NDt1iOIRMwuKliKXjhob8Ne3BDuCSXXEyDAUsBUpdlYCWy1e+LLiEzLDZZ+Wb+qCOWzJp6wmBa5c3eO2vAEKvDbto2B5/9IQLCFDie/7qXCak0q+61TUqfMCUd1qbTWVNogNZWt4gOUqSCquVfvtxy0/b/jc797N2nu/ScWP0nGZxFvTUOyqzl/JDqq/2i05If1AlK0yH+4RoKICRVi6hhlg74+VZWM0wL6WNJ8WvvNNLxvrzF82dpR7DUzts9X6kW3V98HDVSyJEms7FZwoNLe/8ps7/PkGg5Q7w80FEyEIIwVSp64tTkc8R3V5Ke5U8UOFserrIoeRuZT78c1Yn855b9P8sgpuqbcTHQjTppNx4PYZ4oH+xeewMP9mreZZ7O/8BUyB17FWnXWD1RSVOV10GgXQ3JFGsDu/zZotDqbpaJ7KpkUDQu3PG/h1/VyO5IXAhzvsBUot3YCa6G0oRMlcXv2vIjqFRkHady0KLyb2HElcTEwtGR83MH/pJ3e76RpbOEv+qb9Ycpr/KpqL3nvedncarXmEoV9GOVlX+AYJf4cIcCd2D8Sod7MNjGFbj8nh41k+wgoNI1asA3ogXf+U859OMe+cb22p9eifdsZJEGCqLuACOYF/2OcsS8cG8CPfdR6Tq4epZqxGCTbEdKAKeHWrNMFZJVqzqDXb0GzJpAZHRbYowrRZ0wNLjTFIHZRRYpAVUiB9XxUtnFNTN3dA8UOnbGTx7jt/iK6qfU5qWdmZmroX3HxyFZ0koT5nzrIRNJaFZ9lMjUoQXp2hXtDmSjHsmHxLlAsdhKM0h2hyKokCRXHbV+ggbpv5Rnh0zIJ4QasJBcUJAA+4ly+n3Ovip3inO3b55bfm/rqQMCh9fa9JEC5IWQpnXEh1Xy7087deI5DFOlMdNBajuvxuUf/L175COhAcqCjqMyDlNW4Jq9XZoU4LYfXntmBR9xrxiSjOiv/h181eUQt3hVPALgbyXO+ikpNvbAUKZMRUmmjXVAMAqt6GX7dttw9KURQPJeBE5StiPEq4oo92xI7EJMaHTI3a7zykDjk8cOWTnblb0X+kQOB6sOkEK0kRuT6Jf1WgBfECEBLXGq1rNgjNUMVGBAMIZ/XKUoF3A4BoZ2UIEg9WcDsk7ixIrZ4KUNYT7GGh79Xjg32jjAyvnkQRVSUi1BHqDkqoEY81mrh8wVNHhItwUF/DiVpQOQo0S2MqUfmF8JtebR1FK1FoNQ23sAW8C5AbJ+Qtwe1hY3zWkQtPI6oFCj1qSxNNTk36aFDwVK2KcFY74h5DJKplnRpXDRprxlIlLumuTvIPHWkGR6Z11gT57KybVCRpUd18TuMIqBkN8Oj5AE21rwnbugOvarzqNAfnlsASkLkFkPLgtHhJQFeaO48lRhJ5A/iNpJ2tiiigHSqsOno1tKjb07P/Cye9NHWX1Lbq6SCD2aqBPoys4q5DHByESu+xzACSa1JbA8YQK/SLcCWSytKm+9iDshD/2KJDJIvmRk7val+CGPncI2/iuvmDBfBSBhng93t6WLFwmoLFy1HyaA8d6VYoQDhGoPRM3AQpr+0IGA07b9idWkl5oyEaSaRGai8Uviud0H/IKxiZoE3TW0a8EQaF/6HHU50rtYXDkCR7ZhA9GYelWFdFNatNfitZq0cFqnSoudqHICL5rClsVJIs2LkeVHUtqte6TZ2CEYdKS292V4cbyh2G3AhMNb0RzvYYBAjXRADnpHYUjEejkxoUDEtmUeAD2D2jrZIasBqamQFNlKwqUbrHZROVnf2dAswoMqq1+pTyh9SQneW22Uu4xwAbpUQ9KHdmoJKGRI1mEoQemQs1iDTfui6ZLyVF6sIF5jzlNhQcJclnhJwtHuak2UR3u2+oqOY0Jkzs9QSMPL3R72r169fbB2UV9/wBAZw7JkA0oItVojZFBAZo8POdM2qaKoKLxGypKiUgtjRopGFVPUgCPYkd1ngaeGNv+GvKQ4PlNSFhuqHQlMHa2LR6tj5adVcxX9chAKk+gMTkekV2tsIFMjpzo6w0W1By9gFkwFVmIFfRX+K/XV3qkgZymgpO5nivB+Qglxq0mWqf6ixtxqgD7A64rQhQQBtc3wac3EcnhGCUm5SUARhpjA/GoGlnTXzskFijeJA6v22o3QXxh5lpfjix8boNZo896lgAyUMMaJq3DI0iU7s15QKaR533APvLOdx6dKqkSW73UFNqHGXPPJx1bKsJtthwk55sei9IwwR3STF/XEHT0O6m761zbOznhVxtwkCnkRPRUwjTbR+EX7ca1dPMlEAEM2pXuj9kEtXrERINanI5FI6O/8DopCkZ0Uc0Y1sVLkFsoVspCZmU9N+2aZ59dnKrtwwG9RqbBQaQ+orAPPWQyWU3UCwAgSveGWcsftRUZ0fARvEm9kV0ACTeUTPB/7vjP28YBHDQaICf9FcSQXEMVSj0JkGCsKW2jI9PaSDm+dyPYNDDc3CFRgjb+Vjb3JvfW+u4wv28zA97/96T5psrc3d+OSkhCgAJVGAnt7EKeTjR3acX3vSm5q3HLXWiqMw0Sk0iUScVGq1IRDhFuCaglNp1qFkAi56cwbS7iCyT3132wI9LYh92EdIwaHv1s/AsGUokLLWBXFYzAJRW1WJTolVbk594NFIC3CKVztwdShN9htcswxa8johwhWZDKUvEglqu8DKYSxNlld6l2lNR8nQOvQtJAjaXZvaB0wj81BtHUNel8VAYtgaOSlIJsxpu7yC5B7uarjPvwAHR5ws16LpHehdeXd0y0tB6NIdgArmXPzUj5cne7HIivS9DrkDZUlN2UbDmqBpQTViM999aUE82OgJVj1rPTKEeUq0alAYlkE6UZqcxTnQ7tIxVgOuFj57gb+lyDQVxB7NqMjFjbhEYck4P2lC90Mn+NbDn/HlNvwGb3XWCHV/tDdL0SrI0zEGgoT2gx+IOGovYmbIwkrrQ6EVNVogNeApvOLVR+6i4AYBGVU70Q2ua6BEhnR2WZiwMrT51/TT/MYb3Xoh7nbGpz3UORVXTcU5lIRG+Mb0eNZioI757LlD1mMfr5a+v6nwOzz6f+fwVNMbrADM6RavkenqGSkkMzSFR+GG40Xlp4iQZWOE0GvKY7J3P4LatyScR3+xhYElTsscQ5WMmuAr8M3opEiJJx+lsrOHRjaCKo65TZLgYVas9fLZqtmKLV48EQA7jNL6bPNEZhxhWbNhB4/QFe58y1n7Uo05hFxRQD26R++QTBCVqVg9yDmc0EPs+k/qpzjcVXUScC5mM7mKShCHZgpLLF02AIh2JRNvvkfE63cMUMmhpertn4pRWKBJrdMtmp1GPzc6pKCKPyVNBKySYLO0aLhmZfIShJ8Bfj4ahn00iR1UFJhHh0bsavxGIHJ3Zq0eqh/DGfUqbbENQAFUinLdR3tNg+77p6QyNv8DpwU45j1SIQAT7Y+9dQIa+hQ19QTPMzbujepF6QkCPuAHf1iwXM/SlIuudynVSpxPPQ/bSWpeF1/t+xIRmrfANYe51mOqHppwkFdqoRqf5KylFz4h6uI96oi6LZlr8hH/eKSwrkG5PozWi/FPWkanT4xwakz51Gj2cQbBr4EyDIvk5NU/n80Ma1QX497jDSBQaypJNXQ2b6o7GohIKzngNEzYERNMDE0EjmFhw6Yj+xo+yHbS04l46x9chKrppFkyrpz6HVbE8wYgGItBhNKC601OaOi1cOmTEenmpyqrJ08fN5KiZUQAjaDypqwzq+Z8F1GZYK8JtgEiEFJK+gwuuAic54DcJgQq9d0cPDa1OVDeNa0ksTDRCAnuk3l+1f7dig7i4nq5wUg8aW0hcT+cKU90mNur1OKNdid2iQiQ8MnSYzNCcpoEeLk246cHEB0Jg5oW96qKaAHvmVoktyTHBh5gXciu0+7iHXU3Nq6SpMRi6poTYEgWbRJm18BqSi4+AXYgg0Bp0tGEEYQU5p6fZ3EayUDtV2GG19YVO53pqEgRAUwyg1dZpq9pnWFyaG1UEJ0dL1IerJK1PB9F8oHmjuYybAP/41X3Ll0sGfkMFTFZUkNnQk+6yWlhob9EHrSFtPViw9HRd8qAL9ej2LTXLWvsU32p6AMipVZ+f5tx9PFe6kbpKjaFUZfiZ4kdPKPSthpxm/HzQSYLAE75LCdXhnQYNDJGnsmuHEuqR63rATFN2+Rk1qZf/RIhFE+HZR4rBAkMRJ8CBwHfqpqFykJdZJyJqDmbdm7ru0uDaZdRaY4wiaBADdR+3/o0MlpykIHA3DA+qHYepVdItx01520HCCUVPOsKd9Cit9CX3vdOaarNqSg6yAP3QYey5/cKgh4tMU3sTRd6pBWtxIexkB4tQ4++E+zQchVL8U3JZepVSyRbZYdFDDJjLzanjjNA0rIRalhrSwKiXprJQwKln+nAn2SJpU1p4Zp+TZKgeCJnDT25NHlmztzrqyv/7EE/t0h3QXjSljmCrnh5k66eVqJFOnZPD0LYO1qmkcBw0OQnkYGzQFnsPnLpEjB5vVeeB1EZhF7F+LKCnXBaahlSG6umBmYCVvW4Hb9BjyYZIwSSCfuBI589QLWoAKKftg58a7kYjFpcFTVCUVmGlOzvIiUYK1LmwJZkvskM9y+DTXKPrdG1G5bPoVKU2VJJ/iX1eOqFJELyHnsALENN6p6GzcF57o9Bx7ay5anXloldZhaFxWaS8Z4NDnR2ES3F67lpjhpdJ5g74r4cBtT2c+swP+E/RKQUIVyPVdLKBZVDYTg/ZR0BOz0TraZ0DA+l/vJAGIQCjAoXr1lOlUc5cCIUJMS16zJPKNe/DP2jYO8cGYkMPKCAzPb31Z1Ze4wrutaisRYF0k3j0iAA92lrvZEMRY6krmQqhx6+t9SyE1lOO3y60+NKXOluj6Z/oIPtAmW3b0oxD1pzKJJGzEZtY80FrjKnEdc8sa5d4/IZpYFSPmZ9FANQimDCeFwIa/yeIpLBB0jxa30n1x/tMkh6/lfCCyy5QfungPFWoX4HELCBQ8lP/LgJIBa+3V3xSRCmvvGfqmUA94aVuWdZj91qW4BymgRbq5mggWVLraefe4dcDDryYTIaR3m4LYP/+mjTv1qFOFN4mfgQkWRMpq63pH1nZkVoFs2lqao1L9PRsSVlF58xQTGiET2QJBNVLyww9ZLnvU49QPyhBVTIeeaEGilQLFpTWJBP+heeAOoC1ZtNbhE1qLKlTCfREdq4YTsJrDKMx0EK26rQV4jS5vVrdBdKfG7FzcwKpVJS2+z564IkWjWsBQORj96T82MbmrWcZoEA6Cmhf21ARkaPZFT2fQ/21SZMi3AzxiKLr8UtVy9E0XonB63Af5HfEBQwNpYLjwV8AbIWjfz3Cl8pu4oJ7lKjJB8oyUAnwp8ZuvPHJqWruR7AHTdNhn6KnvzXe3TWWDiFDpyLi9G/J6BZJrdXiPdoGfMkakjaAGpE7FKTrCFlh7RtGDhRmHSKrSX/VspJjJ83WTrELVAXKhQwkfyroZ8L9FzgktKXOSPpZLtrgOrBR89r8ciJNI4xWs5ZLLXc9IHwfZszYsLSzk6Y0giYFgkot5NFq4AdZqlF+CNxSmfR5zFPOndZb1xuz/ppP5t+4yL99Bb7OoiCZ/wO5fiYFp7delwAAAYRpQ0NQSUNDIHByb2ZpbGUAAHicfZE9SMNAHMVfU0tFqh3sICKYoTpZEBVx1CoUoUKoFVp1MLn0C5o0JCkujoJrwcGPxaqDi7OuDq6CIPgB4ubmpOgiJf6vKbSI8eC4H+/uPe7eAUK9zDSraxzQdNtMJeJiJrsqBl8RQBh9AIZlZhlzkpSE5/i6h4+vdzGe5X3uz9Gr5iwG+ETiWWaYNvEG8fSmbXDeJ46woqwSnxOPmXRB4keuKy6/cS40WeCZETOdmieOEIuFDlY6mBVNjXiKOKpqOuULGZdVzluctXKVte7JXxjK6SvLXKc5hAQWsQQJIhRUUUIZNmK06qRYSNF+3MM/2PRL5FLIVQIjxwIq0CA3/eB/8LtbKz854SaF4kDgxXE+RoDgLtCoOc73seM0TgD/M3Clt/2VOjDzSXqtrUWPgPA2cHHd1pQ94HIHGHgyZFNuSn6aQj4PvJ/RN2WB/lugZ83trbWP0wcgTV0lb4CDQ2C0QNnrHu/u7uzt3zOt/n4ADx1yf0FdDnMAAAAGYktHRAAAAAAAAPlDu38AAAAJcEhZcwAADf8AAA3/AfSKsokAAAAHdElNRQflBQ8OCCDj9zh9AAAgAElEQVR42uzdd3gU1f7H8fduei+QUELRhF5MaBEENRQpggoKIoIoVpQfNkAuighXvSCoF6+gYAELYEFRVBBBkCYdaRaqiUASEtKzadvm90dgJSahGSGQz+t58iQ75czsOTOT850554xpzpw5BiIiIiIiUiWZDMNQQCAiIiIiUkWZlQUiIiIiIgoIREREREREAYGIiIiIiCggEBERERERBQQiIiIiIqKAQEREREREFBCIiIiIiIgCAhERERERUUAgIiIiIiIKCMq1fv16OnbsSEBAADVq1GDgwIEkJiZW+HbWrFmDyWRi8eLFFzTjatWqhclkwmQyYTabiYyM5L333quUhXyx8khEREREKj+TYRhGRSdqsVioV68eISEhPPLII/zxxx+8+eabxMXFsWLFigrdVnJyMl999RU9evTgiiuuuKABgZ+fH2PGjCE9PZ3Zs2eTlJTEoUOHqFevXqUq5IuVRyIiIiJS+bn/E4nu3buXzMxMxo0bx6hRowAIDAzkp59+wjAMTCZThVbMH3rooYuSeadu29fXlyeeeIJffvml0gUEFzOPRERERKRyO+cmQ6NGjeL+++8v9bNr1y7XMnXq1MHT05Np06bx9NNPs2TJEkaNGsXSpUsxmUw88MAD+Pv7869//YvQ0FA6dOjATz/9BMC2bdu45pprCAoKonv37mzcuBGAgoICRowYQY0aNQgPD2f06NEYhlGiOUx6ejomk4kbb7yRWrVqUbNmTWbOnMmAAQMIDQ1l4MCBZGdnY7fbGTt2LBEREURGRvLUU0/hcDjIy8vDZDIxdOhQ2rdvT0BAAHfddRdOp/O0eZKZmcm6desAiIiIYMyYMZhMJt5//33atGkDwPz582natCkBAQF06tSJrVu3utafOXMmkZGRBAYG0rdvX9LS0gCYN28ejRs3JiwsjDvuuIPU1FQAVq9eTXR0ND4+PjRp0oTPPvsMgKNHj9K9e3f8/f2pXbs2EyZMAEo2GTrTd/zkk0+IiIggJiaGAQMG4OPjo7NERERE5HJmnKNp06YZQImftm3bGpmZmSWWW7x4sdG6dWvDZDIZgOHh4WE88cQThmEYxv33328ARrdu3YypU6caoaGhRuPGjY28vDyjZs2aRp8+fYwVK1YYt99+uxEcHGwcOXLEmDBhgmE2m41JkyYZEyZMMADj/fffN1avXm0AxpdffmmkpaUZgFGvXj1j+vTpxhVXXGEAxr333muMGDHCAIxZs2YZr776quHp6WnMmzfP+PTTTw0/Pz9j1KhRhsViMQCjevXqxrRp04xevXoZgLFy5cpS+VCzZs1S+dC7d2/DMAxj9OjRBmA0b97ceOqpp4yNGzcaJpPJ6N69u/H2228bjRo1MsLDw43s7Gxj1apVBmAMHDjQmDt3ruHr62sMGzbM2LZtm2E2m41x48YZy5YtM1q2bGm0bdvWMAzDiIyMNFq3bm0sWbLE6Nu3rxEYGGjk5eUZ9957r+Hn52csXrzYGDdunOHt7W2sXLmyRB6d7jvu3bvX8PLyMrp06WJMmjTJ8PHxMby9vQ0RERERuXxxPitNnTr1tMHAqTIyMoyFCxcazZs3NwBj+/btroDg6NGjhmEYxqhRowzA+Oabb0pVsgHjo48+Mtq2bWtER0e70l27dq1x8ODBMgOC8ePHG4ZhGA899JBhNpuNgoICIzk52QCMKVOmuCrBp/40btzYVVl+8sknDcMwjB9//NEAjHnz5pUZEERFRRmzZs0yZs2aZSxdutSw2+0lAoKDBw8ahmEY48aNMwDjyJEjhmEYxgcffGAAxooVK4zRo0cbJpPJSE9PNwzDMHbt2mVs27bNeOmll8rMi+TkZCMuLs5wd3c3unbtarzwwguu7UycONEAjJiYGGP06NHGunXrDMMwygwIyvqOr7zyigEYv/32m2EYhnH77bcrIBARERG5zJ3XKENjxoxh2rRpdOjQgRUrVhAcHFxi/urVq2nXrh2ffvopISEh9O/fn0cffRSA9PR0ANfoPABubm4AhISEAPDOO+9gsVjIyckhLS2NW2+9FafT6VoewN3dvcTnU3l7e5fYhre3d4l+CwEBAURGRmKxWLBYLGRkZLBp0ybXfF9fXwC8vLxOmw8n2+Y/9NBD9OrVy/U9TjrZgdc40W/i5D6cXM7hcOB0OkvNc3NzIyAgAIB9+/ZhsVjIysoiLS2NGjVqsHTpUj755BOioqKYMWMGzZo1IyEhgQkTJrBmzRp69OjBt99+y7XXXstHH31U5r6X9R0LCgoA8PDwAMDT01OP0EREREQuc+c97Ojo0aPZsGFDqWAAoHnz5hw8eJDHH3+ciRMn8sorrzB16lRCQkJo27atq5J87733Mn36dObMmUP79u2JjY2lYcOGzJkzhy1btnD33XfTqlUrCgoK6N69Ozt37mTKlClMmjSJa665hs2bN5/Xvvfu3Zv4+Hg+/PBDvvnmGyIiIpg7d+4/lsl9+vQB4MEHH+T999/n+eefJywsjPbt29O9e3ecTicjR45k3rx5xMbGMmvWLLp37467uzuvvvoqGzZsoH379gwbNozMzEzq16/Pp59+yoABA7jtttuwWq1kZmYSFxfHqFGjuPbaa3nssccASElJOev97Nq1KwAjR45k6tSpfPnllzpDRERERBQQnLuwsDC+/fZbGjVqxPTp03nhhReoV68e3377respgJ+fH82bN2fSpEk0adKE+fPn4+7uzsKFC3E4HPTp04eEhAQ++eQTgoKCGD9+PPfddx+vvPIKM2fOZPz48dxxxx3ntX9Dhgxh7NixTJw4kUceeYR7772Xxx9//B/L5I4dO/Lee+9x6NAhRowYQWhoKEuWLCEoKIgePXrwyiuvsH79eh555BF69+7NlClTiIqKYt68eaxcuZJ+/fpxxRVX8M477xAaGsq0adPYsWMHffr04YsvvmDatGm0atWKadOm4e7uzu23385TTz3F0KFDGT58+FnvZ/v27Zk2bRrbt2/n/fffp3PnzjpDRERERC5z/8h7CM7kgQce4OOPPyY3N1clUIls27aNd999l5tvvpno6GhuvvlmioqK2LNnjzJHRERE5DJlVhbISS1btsTpdHLnnXcSFRWFt7c3H374oTJGRERE5DJ2UZ4QHDlyhKysLFq2bKkSEBERERGpagGBiIiIiIhUDmoyJCIiIiKigEBERERERBQQiIiIiIiIAgKpYr76Ckym4p+iIuWHiIiIiAICqRJycuDll+GWW5QXIiIiIlWUu7KgCioogLVr4dlnYetW5YeIiIiIAgKpUvbtg549lQ8iIiIioiZDVVLLljBqFHz4IRw+DDfdpDwRERERqaL0hKAqcnMr7jsgIiIiIlWenhCIiIiIiCggEBERERERBQQiIiIiIqKAQEREREREFBCIiIiIiIgCAhERERERUUAgIiIiIiIKCERERERE5PJhMgzDUDaIiIiIiFRNekIgIiIiIqKAQEREREREFBCIiIiIiIgCAhERERERUUAgIiIiIiKXOffzXTEvL0+5dxny8/NTGVexchYREZGqTU8IREREREQUEIiIiIiIiAICEREREancLBa4/34wmYp/DhxQnsjf4q4sEBGRC66wEDZsgOXLYc2a4mnXXw+9ekGnTuDmpjwSKe/cmTAB3n1XeSEVxmQYhnE+K/4THU7T0tIIDAzE09NTJXORqFNx1StnkQuuoAAGDYLFi8ue/9JLMGZM8Z1PEfmTYcArrxSfH6favx8aNlT+yHmrNE8IEhMTWbRoEdWrV+e22247bVBw7Ngx1qxZ46qwxsTE0Lp1axwOB/Pnz2fo0KEX5Tv88MMP7Nu3r8S+x8TEkJ2dzRVXXAFAQkICnTt3Pus0V6xYwQ033OD6fOjQIerWrYunpyeZmZkcPHiQdu3aVdkDeP78+eTn5+N24m6iyWTi+uuvJzIyskLSP3DgAMnJyVx33XW6WohUFB8faNWq/IBg7Fi45RZo3Fh5JXKqZcv+DAbi4mD1auWJXD4BwclgwGazkZyczOeff15uUFBQUMDSpUu58cYbqVmzJgUFBXz55ZdUq1aNOnXqXPTv0qlTJ1q0aFFimtVqxc3NjcOHD59TWvv27aNu3boAOBwOUlJS+P777xk8eDCenp6EhISQnp5OYWEh3t7eVfYg7tevH9WrV3dV4FeuXFlhAUFkZCT169fXlUKkog0cCFddVdw8KDQUsrNh6tTipwMAf/yhgEDkVPHxxecNwOzZ4OurgEAun4DAarXy9ddfY7fbXdNSUlJYtWoVPXv2LLX8zp07ad68OTVr1gTAx8eHzp07U1RU5Ko4f//996SmphIYGEifPn0wDIM1a9a4KuQdO3YkKiqq3OlJSUls3LiRgoICwsPD6datGzabjeXLl5OWloavry9du3Z1VULPZOPGjdSrV6/EtLS0NFasWEFRURHVq1ene/fupQKg3bt3c9ttt5343/gHe/fuLZFPAA0aNOCXX36hTZs2OpqBOnXqUFhYCMAHH3zA4MGDcXNz47fffiMjI4P27dvz0Ucf4e/vT25uLsHBwfTp0wen01nm9ISEBBITE+nYsWOZ86H4ydDRo0cJCgoiIyODYcOGqSBEzqRJk+Kfk0JDoVu3PwOC4GDlkchJNhu88ALk5sITT8CwYfDpp8oXqTAXfZQhT09Phg8fTr9+/QDw8PDg8ccfLzMYADh+/Di1atUqMa1mzZquu7iZmZk0a9aMO++8k8LCQpKSkti/fz8ZGRkMHTqUW2+9le+//x6r1Vru9C1bttCmTRuGDBmCl5cXmZmZbNq0ifDwcIYNG8a1117LN998U+b+/fjjj7z33nuuH6fTWeZyy5Yt47rrruOee+4hPDyctWvXlpjvdDpxOByYzcVFFBkZyY033khQUFCJ5apVq0ZKSoqOZMBut7Nnz54zPh1ITU0lNjaWu+66C7vdztGjR087/XTrHTx4kLy8PIYOHUpMTAyZmZkqCJFz5XBAcjIsWlT8+Z57IDpa+SJy0jffwJw5xU/Vxo0DDw/liVSoS26UofL6QJ+sePv5+VG7dm0AwsLCKCoqIikpiYYnOtv4+/sTEhJCWlpaudPr16/P2rVrSU9Pp02bNvj7+3P06FE8PT1JTk4GICsrC6vVWuqufseOHUs1GSod6NvIyMhg69atbN26FavVitVqLbFMRkYGgYGBZ8yPoKAg0tPTq/RB/MUXX+Dm5obT6SQvL4/BgwefdnlfX1/XMVKtWjVX3pc3/XTrHT161BWA1K9fXx3iRc6FzQZ/PWfq1IHnngMvL+WPCEBaGjz6aPHfU6dCWJjyRC6vgMDhcOBwOIDiJwUeHh74+fnhdDqx2+2YTCY8/hIFV69eneTk5BJNcH799VcSEhLo0aMHPj4+ZW7LdMpoFW6nDGdX1vRWrVpRp04d4uPjWbhwIT179sTd3Z2ePXsSEBAAQGFh4XlX/tzc3AgICKBv376uYOavTYHc3d1deXM6TqezxPepik7tQ3Dw4EFWrVrF7bffXmKZUyv35fW3OFM/jLLmnxqgnno8i8h5Onq0uEPx4sVwYjAGkSpt/fri8wKgnNYTNGoEEycWB9Mi5+GiNhmaNWsWM2bMYMaMGWzdupV27drRtGlT3n//fWbMmMHrr7/Ozp07S6wTHR3Nnj17XHfqCwoK2LZtG40aNSp3O7Vq1eLAiZd25OXlkZaWRvXq1cud/vnnn2MYBrGxsURFRZGcnEzdunX5+eefAThy5AhffPHF+We62Yyfn5+r78LmzZvZsmVLiWWCgoKwWCxnTCsrK+us+zJUBbVr13bl28mRmE4GCv/U9hISEgA4fPiwAgKRc+HhUTyMot0OGRnw1VfF03fvhtdeU/6IQPGTNJF/2EV9QnCyIzAUD6d56NAhoLg5RlBQEHXr1nV1ED3J39+fXr16sXr1agoKCoDioT0bNGhQbmWscePGJCcn8+GHH2IymejWrRuenp7lTo+Ojmbx4sX4+voSGhpKbGwsZrOZ5cuX8/777+Pm5kb37t3/1nfv1q0by5cvZ9WqVQQFBXHjjTeWmG8ymfDx8SmzWdKpUlNTXc1YpLiTeUFBAdnZ2bRr146lS5diGEapvhcVpXHjxhw+fJh58+YRERFBsDpCipw7NzcICYE+fYrbSO/eDdOnF3cwVjM8EZF/3EV9Mdk333xDfn7+aZeJjY11jeFf1SQmJpKSkkLr1q3LXWbp0qX07NnT1fn479KLyc69jHJzc2nSpAnZ2dl8++233HHHHZV+v/ViMrnoliwprvyHhxc/KcjLK35z8ckmEXXqQEKC3lgsUp7582HIkOK/9WIy+Zsu6hOCk8M2StkiIiJITEwsd35mZiYNGjSosGBAzl21atXYvXs3v/zyCwUFBXTr1k2ZInIm6enFTwNOZ8wYBQMiIlUhIJAzi42NLXdeSEgIISEhyqSLyNvbm169eikjRM7FaW50AMV3Pe+6S/kkInKBXNQmQ1L5qMlQ1StnkQsuPx+2bYOtW2HdOti+HRo0gGuugc6di99eXIXfvi4iooBAFBCIAgIRERG5YNT4XEREREREAYGIiIiIiCggEBERERGRKuW8+xCIiIiIiMilT08IREREREQUEIiIiIiIiAICERERERGpUvSm4go2d+5cZYJUesOGDVMm6Doil9m5/OBvScqQy9BbTWuX+KxyrhrlrIBAlS0RVTZF1xHRuSwiF4yaDImIiIiIKCAQEREREREFBCIiIiIiUqWoD4GIiIhUqBur+dO7egBPHjhGkfPP95/+OzKcI0VW3k7MAsDXzcTLDWuyMsPC56m5ruWeiwzD22zCYYDZBD9biliYko3tLF6lGu3vxf58KwXO0gt3CfGlc4g/bmbYnF3A4uN/btPLbKKpnyc7c4tUgOXwdzPxcsNapNnsmAG7AaszLazKzHct09Lfi5F1q/G/I+n8bCnOyyt9PBhTvzr//j2VY1YHAPW93bklLJD/HckAoHWAN72rB+DvZsZmGKzKtLAqI/+s9qu8Mm/s68n9ESGuzx4mE3sshbyblMWA8EBiArwxgC9Sc9ieW6iAQERERKQiFToNWvp5se1ERauWpzt+biUbJrQK8CahwEqbAJ8SAQHAq4fTOW514GaCQTWCuC08iI9Tssuv0JjgCm9PhtQK5sX446Uqh0HuZjqH+PNCfCoGMDEqnG05BSQW2QlyN9Ozmj+eZpMCgjPItjsYfyjVFSD8X91qZNqd7DhRzu0CfTiYX0SbAB9XQABQ5DQYVDOY/x5OL5VmfW93+oUFMisxg8QiOzU93XikTjUsdoMtOQXnXeb78q2MOZDi+nxf7WBWZebRyNeThr6eTPg9lSA3M89eGc6O3GM4q3C5VpkmQ9u2baNDhw40btyYVq1a8dZbbwHw+eefM2bMGADeeOONC7pPM2bMYNWqVee1bn5+PqtXr3Z9zsvLY+zYsQwYMID+/fuzffv24gtyYSHjx49nwIABDB8+nMLCQl3NpIR+/frRsGFDateujb+/Pw0bNqRhw4b8/vvvlWYfv/76a44cOXJBtjVu3DjS0tKYOXOm69rwdzgcDh5++OF/dJ8XLFjA7bffzpAhQ9i9e3ep+SkpKQwfPpyBAwcyefJkHA6HDnz5x+22FNA60Mf1OSbAm12WkpW7tgE+fJtuwWEUVwrLPIcM+Cw1h6sDfTADwe5mZjauVWq5Zn5edA71xcNkKjMdN2BxWg5FBlgNXMEGQL+wQOp5e6jQzpHFYbD4eA7Xh/i6KujN/byZfyybGH9vV/4CHMq3YnMatA3wLpVO37BAFqZmk1hkB+CY1cEHyVl4mYsTON8yP1VDX0+KnAbxBTYMwG4YOA2wGQYOjCpfllUmIBg0aBATJkxg3759fP/99/z3v/9l5cqV9OnThwkTJgDw3//+95L4Lunp6bzxxhusX7/eNW3OnDnUqVOHhQsXMnbsWCZOnAjA7NmzadasGQsXLiQ6OpqvvvpKV7DLzMSJE8nKyio1PSsri0mTJp1x/S+++IIDBw7w9ttv06tXLw4cOMCBAweIjIy8oN/DbreXO2/RokUcPnz4b6dzJocPH8ZisVC9evUK+15ubm40aNCAtWvX/iP5lpiYyFdffcW8efOYNGkSU6ZMKbXMrFmzuPnmm/nkk0/IyclhzZo1OnEuw3O5sjlaZCfc0x2PE3W1q/y92W3586aUv5uJ+t6e/JZXxC5LIW1OCR7+qtBpkONwEOLhRrbdybhDx8oIQIp4OzGLdFvZAW+G3cm2nEKa+3vxeL1QcuwOjhQWXy/eS85iRbpFB+H5lHOhjXDP4mCuhZ8XfxRaSSyyk2Z30MTPq8SyH6dk0zc80FXRP6mOtwe/5pV8MnOwwMq6rOImQ+db5qe6qXoAS9KKn0IdyLeSaXcwpUENXmxQg4WpOVX66UCVCQgMwyAzM5NGjRoBUK1aNT788EMiIiJYtmwZ//73v5k+fTpJSUncddddAIwfP55GjRrRpk0bFi5c6PrH6+PjU6H7tnXrVkaMGMGgQYPYsGEDq1at4rnnngOK7/r1798fgB07djBy5EgAXn/9dfbu3VsqrT59+hTfcWnbloKCAhwOBz/88AP9+vUDYPjw4dx66626el1GsrKymD59Op07dy5RkcjKyqJz585MnDixxJOkc7Fo0SKaNm1KixYtePbZZwH47rvv6N69O9HR0dSrV49XX32Vnj170qxZM2bNmlV80b3pJu6++26aNWvGVVddxY8//gjAL7/8QocOHWjatCm33347FouFvLw8OnbsyP3338/kyZP5448/iIuLo0WLFlx//fX8+OOPrFq1ihUrVjBq1ChXGic98MADrFy5kiVLljB8+HDi4uJYuXJlmdtyOp08+eSTtGvXjmuvvZbly5eX+s7/+9//GDx48GnzZfv27Vx99dVcddVVDBw4EIvFwlVXXUV8fDyGYRASEsLHH38MQNeuXdm0aRP33nsvL7/88p93qho2ZPPmzRVyDPz444/ExcXh6elJVFQUJpOJY8dK/uPctGkTXbt2BaBnz54lbibI5X8uX0y/5hXSzM+LEHczhYaTfMefd2JbBfjwS14hdoPigCDg9P9fDcAwin/n2M//ju7hAivrMvOJ8PIgwkstpyumolX8q02gDz+daDq0K7eg1NOANJuDTdn53FQ9oERF1OtEfxEobvf/QlQ4L0SF858G4a7k/06ZN/DxJNvuINNeXO0vPibdePVwGm8cyeCWsAB8zKYqXYRVIiAwmUw8//zzXH311dx+++288847REVF0aRJE9cyjz/+OLVr1+bDDz/kq6++YufOnezZs4fly5czZswYEhISqFWrFgkJCRUbWR89yowZMxg7dizz58+nbdu2rkf+u3fvprCwkOzsbHbt2kVsbKzrLtLJwOWkkSNHcuWVVwLFzaBiYmIwmUxYLBZeeOEF+vbty/Dhw8nIyNCF6zISHBzM6tWriY+Pd1UkTlYgdu7cydy5c4mLizvndFNSUhg9ejTr1q3jp59+YufOnXz00UcAxMfHs2nTJt5//33GjRvHnDlzWLFiBa+++mqJIPzXX39lzpw5DB06FKfTydChQ5k2bRq//fYbrVq1YtSoUQBs2bKFBx54gGeffZZvvvmGQYMG8fPPP/P444/z9ttv06VLF2644QZeeeUVatasWe4+L1u2jEWLFtGjR48yt7Vjxw42btzI1q1bee2118qsXG3fvp3mzZufNm/uuusupk+fzu7du6lZsyavvvoq3bp1Y926dfz222/4+/uzYcMG7HY7e/fupV27doSEhJCU9OfbRTdu3Ejr1q0r5BhIT08nPDzc9TksLIz09D/b6NrtdgzDwMvLq8z5cnmfyxfbjtxCWgX4EBPgzY6ckk1W2wb6cIW3J89eGcYdNYIIcnejXjnNhrzMJgLd3Miyn39ztwgvd5r5eZLrMNieW8huS3GwIn9PhJcHKTY7Hia4KsCbziF+PHtlGK0DfIjx9ynRbAhgWbqFlv5e1PYqbqLlBDJsDldwti/fyvhDqbyUcLzC9rFNoDd7TunP0NLfi03ZBaRYHezNt5JUaOcKn6rdZKzyBQR798Lrr0PfvtC4MQwaBO++CykpfyvZhx9+mN9//53BgwezceNGWrZsycaNG8tcdt26dRw5coT+/ftzzz33YLVa2bNnD2azmRo1alTo142Li8NkMtGgQQNyc3MJDAwkMDCQ1NRUjh07RteuXdm9eze7du3i6quvPm1aFouF5557jh9++IFJkyZhs9nIysoiLi6OL7/8krZt217wfhLyz4uJiSlRkTi1AnHPPfecV5rbtm3DarUybNgwbrvtNhISEti2bRsAnTt3xsfHh0aNGtGqVStq165NREQENpvNtf6AAQOK/+G3bQvAwYMH+fXXX3nppZe46aab+O6771zp1alTx3VsjxgxgubNm/O///2PmTNnUlR09p37OnfuTGhoKHl5eWVuq3nz5qSkpPDQQw9x7NgxXnzxxVJpHD9+nICAgHK3kZGRQXZ2tuspxa233sqPP/5It27dWL9+PRs3buTRRx9l06ZNriDezc0NAH9/f9LS0gCoXr06Hh4V88/HMErfNTu1j8CZ5svlfS5fbAkFNup5e9Am0IddpzQXCnAzUd/bgxfiU3k+/jjPxx9nQ3Z+mU8JzMCt4YFsySnACZgobm50tnzdTLiZwM0E/cOD8DQVt3Vv4OvJcZtdB97f4Otm4pawANZm5tPC35vDBTZXef47/jjZDgdNfEsGXXYDPk3N4dbwQNe0b9MtDKkVTIi72RUA3l4jyPXk4XzL/M8AwJvf8v48/lKsdpr7e+FmOnEs+niQaq3a18XK86ysqAjefBOeeKLk9P374eOPoVkzWLYM6tY956QPHDjA/PnzmThxIrfccgu33HILs2fP5t133+Wmm24qtbyPjw9jxoxhyJAhAOTm5lZ4U6GTQpH8cSgAACAASURBVEJCSk2LjY1l+fLl1KhRg5iYGHbu3MmRI0do2LBhuemkpaUxfPhw7rzzTvr164fpRAebgIAA112l6667jsmTJ+sKdhlXJOLi4sjOzv7bFQgfHx969uzJO++8AxR3TjcMg7Vr17oquEC5lVqz2VxiGbPZTL169fj6669dFdK8vDxXRfmk5557jp9++on777+fxx57jAULFpx2P3Nyclx/n0zH09OzzG15e3uze/duvv32Wz788ENmz57N4sWLS6RnOkPHNMMwSnw3d3d3nE4n1113HePGjcPpdPLEE0/w8ccfs3z5cm644QbXsjabzXWXviJVr17dFWhA8RODU/tAeHh4YDKZsNlseHh4lJovl/e5fLEZwL78Iup7e5Btd1LDs3h66wAfdlsKKTolXt2Unc+9tUP44sRQoI/XrYbDKK68/5pXxCepxSMMBbmbeTGqBiP2JZ/VPjx9RRjvJWVxsMDKtpwCxl8ZjtkEO3MLNaLQeQh0d2NSZBhmTBjA6iwLO3ILeSAimE05JYcJ3ZxdQJtAb1dfgJN+sRRxKN+K54lmOpuzCzAB/1e3Gu6m4j4Di4/nuEYN+jtlHuHlTr7DSe4pzdXWZeVT18uDSZHFT1e/SM05q34ICgguBLMZToyMU6Zff4XPPisdMJyF8PBwZs6cyc0330zr1q0pLCxk9+7dREVFlfpnbxgGcXFxvPjii9xxxx1kZWURExPDL7/8QkBAAJmZmVSrVu0fzYrY2Fiee+45hgwZQnR0NC+//LKrCVB53nzzTYYMGULfvn1LpbVixQp69erFqlWraNasma5ml3lFYufOnX+7AtG6dWuGDx9OcnIy4eHh9OnT55xG3Pnss8/o3bs3O3bsoKCggMjISGrWrMmqVavo0qULzz//PEVFRYwfP77Eehs3buSll16iVatWTJkypUQHYYfDgbe3N4mJidjtdgoLC/n+++958MEHS6Th4eFR5rauu+46Pv30U9599126detG48aNS+133bp1SU9PL/ccr1atGn5+fmzZsoXY2Fg+//xzOnXqhL+/P0FBQWzcuJG33nqL9u3bM3PmzBKjiNlsNtfTh8zMTAICAnB3//uX4I4dOzJ27Fjuu+8+kpOTsdls1K5dG6vVis1mw8/Pj9jYWNatW0eXLl1YtWoVnTp10glTRc7li2XpKR10P0n5M3Dfn29lf74VgDV/qST+XmBzDWc56ffym4tk2Z2nrRg+H19y3ZNpntyvpeV0Ht5pKWKnRQHC6VgcBg/vTSpz3sl3S5zq21PyesbRkk2WZyVmlvi8KbuATdklR6E6VJD9t8s8scjOfxLSSsx3GPDhsWwV6KnV8EqzJx4eMHYstG8Pq1dDTk7xU4NT7+CdaGJwroKCgli2bBmPPfYYTZs2pXHjxjidTlcb5lMrz/369aNLly506tSJ6OhorrnmGqZOnUpQUBDJycnUqVPnH8+K6OhocnJyaNmyJaGhoXh7e5+xudCuXbt488036d27t+vH4XDw5JNPsmjRIvr168f+/ft56KGHdNRf5hWJiqhABAcHM23aNLp3706TJk2Ijo6mR48e5xDfm2nXrh133303H3zwAWazmdmzZzN+/HiaNm3Kli1b+Ne//lVqvSeffJIRI0bQq1cvADZs2MDmzZtp27YtI0eOJDs7m/vuu49WrVrRtm1boqOjy9x+Wdvq3LkzaWlpREVF0b9/f6ZPn15m5Xr7KTcm5syZQ9OmTV0/69ev54MPPuD//u//aN26NYmJiTz55JMAdOvWjbp162I2m+nUqRNms9k1kMHhw4dL9FmKjY0tsZ2/IyIigj59+rj6YZzsAL5y5UqeeuopoLiP0eeff87999+Pl5cXXbp00clSRc5lEZGzYTLKamB6MWVlQXDwn5+PH4eTHeaefhrKaPdbmcydO5dhw4bpyJIqe4zedNNNTJky5Yydcyuj7OxsnnjiCebMmVOh6T7zzDPcddddJYICXUekos/lB39LUqZcht5qWrvEZ5Vz1SjnC63ydSo+NRgA+PnnP/8+MQSniMg/ISgoiA4dOpRok/93ORwOgoKCzjoYEBERudAq9wC8+/bB/fcX/z1jBrRqpRITqeQWLVpUIW3jL5YHHnigQtNzc3NzNd0RERGpjCrvewh27YIbb4Tff4cpU0Bt30UuCSdHtREREZFLQ+W8jbdhA/TsCbm5MHs23HsvuOttgiIiIiIil39AsHUrdOxY/PeHH8LgwaC7jSIiIiIiVSAgyMiAEy8D47//vWSDgblz5+rIEhFdR0RE5JJQuYYdfe89ONNQez//DJfgcIYiIiIiIpVR5epUfMpbPUVEREREpKoFBFlZKhERERERkQuo8r2p+BKndr9yKajsb8HVeSRy7uey3mB7edKbiqtmOV9oGsuzCla2REGrziMRncsiIieZlQUiIiIiIgoIREREREREAYGIiIiIiCggEBERERGRKkGdikVERKRC+LuZeLlhLdJsdsyA3YDVmRZWZeYD0D88gA5BfhQ4ncWVEBOsy8pnSZrFlUZLfy9G1q3G/46k87OliIfrhBLh5Y6n2YSP2US2vXjd146kc9zqKLUPrQK8ual6AD5uJvblWfkgOQvnKfPNwNBawUT6eGI2weep2ezILXLNNwF31Azi85RsrBqHsRQvE7zWpDZpVrsrP3MdTt5NyiS1jPI4Wc7PXBnGpN+Pn9U26ni54202c7DAesZlo/292J9vpcBZurAa+3pye40g3EywKiOPtVnFx2HXUD+uDfbFbsCCY1n8XmBTQKBDW0RERCpKtt3B+EOprgDh/+pWI9PuZEduIQBfp+Ww+kSAEOhuYkqDmmzJKXBV7tsF+nAwv4g2AT78bCnizaMZrkDhmiBfZidmlrttH7OJQTWC+E/CcfIcTkbUDaV9kA8bsgtKBAyeZhMTfk+llqc7o+tXZ0fuMdf8bqF+xIX48WVqDmhk9jLl2Z2uMga4o0YQvasFMDe5Yt4nVdfbgxB3t9MGBO4muMLbkyG1gnkx/nipgMAE3FkziJlHM8i2OXjmynB2WgrwNJnpFOzLC/HHCfd0577aITwff7zKl+lFaTJ0/PhxbrvtNho0aEDz5s159NFHcTgcFZJ2eno67dq1uyQyf8aMGaw6z7cz5+fns3r16j9Pzrw8xo4dy4ABA+jfvz/bt28HoLCwkPHjxzNgwACGDx9OYWHhOactldvEiRPJKuOlfllZWUyaNOms0jAMgwcffLD4Qly3Lunp6a55RUVFhISEADBy5EiWLFlSbjrjxo3j888/LzX9ySefxGKx/GN50L17d3r27EnPnj3p27dviXkHDx5k//79rs8pKSkMHz6cgQMHMnny5DKvPdu3b+fOO+9k4MCBLFq0SAeZXDLncmVjcRgsPp7D9SG+Zc7PsRukWu34mk2uSl5zP2/mH8smxt8bN1P5aV8d5MOjdUNLTAt0N7MlJ58suxObAb/mWQlxdyu5TYeTFRnF16PjNjsOw+DkZup6uRPp48nxE3e/5ewcyC/Cz+30VUp3TAypGcTTV1TnwYgQTICbCe6tHcykyDCevqI61wb74u9m4oZQfzoE+dLcz4tgdzMzG9cqlV4zPy86h/riYSr7IKnl5Y7F4STV6qDIgJ8thTT386aFvxc7cguxG5BUVFzOoX85RhQQXCBPP/00jRs3Zv/+/Wzfvp3MzMwKu9iFhoaybNmyy7rQ0tPTeeONN1i/fr1r2pw5c6hTpw4LFy5k7NixTJw4EYDZs2fTrFkzFi5cSHR0NF999dU5py2VV1ZWFtOnT6dz584lKhJZWVl07tyZiRMnnlVw9+mnnxIXF3fG5f7zn//QrVu3c97PwYMH8+qrr/4jeZCfn094eDjLli1j2bJlfPnll64g548//mDatGkcOnTItfysWbO4+eab+eSTT8jJyWHNmjUl0nM6nUyePJmXXnqJ9957jwULFpQIkEQq87lcGR0ttBHuWbpBgglo4uuJp9lE4omKWQs/L/4otJJYZCfN7qCJn1e56f6UU8A7SSWfFqRYHXyWmgsUP51oH+jDnrzCv1RercQX2OgW6sfTV4TxdVouBuBpgttrBLHgWJYOyHMQ6G6ibaAPeyynv+FYw8udDdn5/CchDT83M1E+ntTz9sDmNHju9+O8fiSdHtX8sTgMVmRY2Jidzy95RWTbnYw7dKxUerstRbydmEW6rewbyoFuZrLsf87LsjsIdHcjyN2NrFPWybQ5CPJQl9qLkgNpaWk0bNgQs9mMt7c3kydPpkuXLgA0adKEPn360KxZM7p27UpycjIAixYtomnTprRo0YJnn30WAIfDwciRI2nZsiWtWrVi69at5OTk0LNnTwA6dOjAoEGDaNKkCV27dmXKlCm0bt2ajh07kpmZWW663333Hf379+eaa66hRYsWTJ48GYDExER8fHwqNC+2bt3KiBEjGDRoEBs2bGDVqlU899xzACxYsID+/fsDsGPHDkaOHAnA66+/zt69e0ul1adPHwDatm1LQUEBDoeDH374gX79+gEwfPhwbr31VgDmz5/PbbfdxuDBg5k6dSonX1hdXtpSOQUHB7N69Wri4+NdFYmTFYidO3cyd+7cs6roz549mwEDBpxxuQkTJvD999+7gtCWLVvSqVMnevTo4apYr1q1iu7duxMdHe0Kztu0acPKlStxnmg33LBhQzZv3lwheZCcnEzNmjVLTU9KSuKtt94iLS2txPRNmzbRtWtXAHr27Fkq+I2PjyckJIS6devi4+PDNddcw6ZNm3SwySVxLldap7TmuKl6IC9EhfN8VDiP1avO0jQL9hPz2wT68NOJpkW7cgtoG+BdbpI2A/IdZTfpaenvxdj6YXyTlsvhwrLv9u+yFLI2K49uoX64m+C2GkF8n2Eh16FmQmfi527mhahwXogKZ8KVNajt5c6mnILTrpNjd7ja6icW2vBxMxFfYGNFhoVrg33pGx6Il9lU5qGTYz/3MikjKcwnAtGyglMFBBfBqFGjmDRpEp07d2batGkUFha6LnSJiYnceuut/Prrr/Ts2ZOnn36alJQURo8ezbp16/jpp5/YuXMnH330ER999BEpKSns2bOH6dOnM378+FLb6tKlC3v37sVut5OYmMhPP/1EixYtWLJkSbnpAvzwww8sW7aMbdu2MWPGDAoLC6lVqxYJCQkVe+fk6FFmzJjB2LFjmT9/Pm3btmX37t3F0e/u3RQWFpKdnc2uXbuIjY0Fih8r33XXXSXSGTlyJFdeeSUAn3/+OTExMZhMJiwWCy+88AJ9+/Zl+PDhZGRkYLfbWb16NfPnz2f+/Pns3LnTFXiVlbZUbjExMSUqEqdWIO65554zrm+z2SgsLMTDw8M1rX379jRt2pSmTZty1VVXlVkJnzJlCps3b2bRokVs2bLFNe/QoUN89913zJw5k1deecU1vU6dOhw8eBCAjRs30rp16wr5/klJScTHxzNixAj69OnjekIQERHBiy++SMeOHV3L2u12DMPAy6v4rmNYWFipu//p6emEh4e7Ppe1jEhlPJcrqwgvD1Jsf1bKv07LYfyhVMYfSuVfB49xe41A3E3gYYKrArzpHOLHs1eG0TrAhxh/n9M2GypLz2r+9Kzmz38Pp7uCi1Nd5e9FDU83jlsdrM7MJ8/hJMLLnQ5BPtwcFsizV4YR6uHGmPrVqeahpiRlOdmHYPyhVMYcOMaveUX0qOZ/2nVyHc5S05r5eXF/RCh2w+D79DyKnBUXjGXbnQSd0hQo0N2NbLuDbLuDoFPKNcjDzdVRvSq7KJ2KO3XqxIEDB9i4cSPfffcdcXFxPP300zzyyCOYzWbXXew77riDzp07s23bNqxWK8OGDQMgISGBbdu2kZ2d7br7ff3119OuXTtstpI9xXv37g1Ao0aNSvydnZ1dbrrdu3enW7duBAYGAlC7dm2Kiorw9vamRo0aFZoXcXFxmEwmGjRoQG5uLoGBgQQGBpKamsqxY8fo2rUru3fvZteuXTz88MOnTctisTBt2jTS0tKYOnUqNpuNrKws4uLiePHFF3n77bd54403mDhxIlOnTmX16tUcOnSIpKSkUvkml2ZFIi4ujuzs7HOqQOzdu5f69euXmLZp0yaqVasGFPch+Osd+E2bNnHNNdfg6+uLr68vnTp1cs3r27cvJpOJli1blmj60LBhQ3bv3k2jRo2oXr16hX338PBwHnroIbp3705qaip33nkn7dq1IyIiovSdpjI6CP61D8HZLCNSGc/lysjXzcQtYQEsz8grt9KWaXMQ6Gamvo8nhwtsvHL4zwB8YmQYTXy9+CWvqHQFxgQeJlOJzqTVPNzoFOzLxN9TOfWmsgnwczNhcRjU8HQnOsCbecnZ+LuZqOnpQabdwaP7/myW8kJUONP+SCtz5Br5y3UVOJRvpbm/1zmvW9/bg03Z+WzMLiDSxwNv85/3qU/e4T+17M72mCtyGiQV2QlwMxPsbsbicNLC34sVGRY8zSYeighlyfFcqnm64QblNjtSQPAPGzZsGG+99RbXXXcd1113HUOHDqV379488sgjmEwmTCc6iLi7u+NwOPDx8aFnz5688847QHFHWcMwePjhh0vc1UxOTi5V0XBz+zMKPHVZoNx0165dS2ho6AXJi5OdNU8VGxvL8uXLqVGjBjExMezcuZMjR47QsGHDctNJS0tj+PDh3HnnnfTr18+VhwEBAa6nL9dddx2TJ08mPT2dhx56iH79+hEXF8e+fft0RbuMKhI7d+48pwqEj48PVqv1nLb11wpybm6u6++wsLAy17FarRXe5A6gcePGNG7c2BUcXHXVVRw+fLjMgMDDwwOTyYTNZsPDw4P09PRS14zq1auXaGaUnp5OVFSUDjCp9OdyZRHo7sakyDDMmDCA1VkW1whDZUm3OWjo58VV/l5syskvMW9zdgFtAr3LDAjaBPpwdaAP/zuS4ZoW6eNJsLsbL0b9efNuZWYeW7LzmdygJg/vTWJNZh5DawczKTIcE/BJavZ5NUmRU8rQ7iDKxws3E5xLi6stOQUMrRVMS39vEgttHLMW9+04WGClV7UA4gttJBbaeDGqBiP2JZ9Vmk9fEcZ7SVkcLLAy71g2D0WEYjLB9xl5ricBG7LzGFO/OibgA/UZuXgBwe+//85bb73FiBEjcDqdbNu2zfUP1+Fw8OWXX3L33Xfz8ccf07FjR1q3bs3w4cNJTk4mPDycPn36MGbMGDp27MgXX3xB//792bhxI48++qirffPZKC/d8jidTjIzM113Tv8psbGxPPfccwwZMoTo6GhefvllVxOg8rz55psMGTKk1AgrsbGxrFixgl69erFq1SqaNWvG0aNHqV+/PoMHDyYnJ4f9+/djt2tEhculIhETE3NO60RGRpKYmHhO67Rr146nn36awsJCLBZLiSZD5dm/f7/rKVdmZiYBAQG4u//9S9A777xDZmYmY8aMIT09nd9+++20wXNsbCzr1q2jS5curFq1yvV0IycnBz8/PyIjI0lPTyc1NZXg4GA2btzIkCFDdHBJpT+XKwOLw+DhvUnlzj/Z4fdUJyv0m7NLt0H/Nv3P0cn2WIrYYykqESz8dZ2tOQVsLact+8n9shrwTuLpK4GnDqkpJRUZMOpAyU6+8QU2Jvxefp7ZDUq8g+DT1BzX3/89XHaTzFPTO10w8NchQ08tuwP5Vl76I63UOqsy8lmVka/CvNgBwWeffcYjjzzCzJkzycvLo0WLFsyePRuAoKAgfvjhB1577TWCgoKYN28ewcHBTJs2je7du1NYWMjNN99Mjx49sNlsbNmyhZiYGOx2O2+//fY57Ud56X733XdlLp+cnEyDBg0oKCj4R/MnOjqanJwcWrZsSWhoKN7e3lx99dWnXWfXrl2sX7++RB589dVXPPnkkzzzzDO89dZbXHnllUycOJHAwEC8vb154IEHCA8P5/rrr+eNN94o0d5bqg6z2Uz16tXJzc0lICDgrNapX78+o0aNom3btkRGRnLNNdcQFBRU7vKGYZCenk7dunVdlfJ58+ad8bg+G4MHD+all15i4MCBOBwORo8efdomSSNHjuS5555jwYIFNGjQwDWgwd13383EiROJjo7mmWee4V//+hdOp5NBgwZVaBMnEZHL1TVBPoSVMaLU3rwi9uVblUGVmMkwKtdbN6688kri4+Mv2QydO3euq0+CyKVyjK5bt47t27fz+OOPn1Uax48fZ8aMGUyaNInCwkI6dOjADz/8QHBwcJnLf/vttyQlJXHffffpPBL5h87lB39LUqZcht5qWrvEZ5Vz1SjnC00Dr4oI11577Tk9+QoLC8Nms9G7d29iY2P5v//7v3KDAYA9e/Zc0h0jRURELmfulW2H1MFV5OIYN27cOS3/n//856yXfeqpp5TBIiIilVSle0Lg6empUhERERERqaoBgYiIiIiIKCAQEREREZELwF1ZUPHmzp2rTBDReSQiInJJqHTDjoqIiIiIyIWjJkMiIiIiIgoIREREREREAYGIiIiIiCggEBERERERBQQiIiIiIqKAQERERERELlcV9h6CzMzMC7bTISEhKjkRERERkQqgJwQiIiIiIgoIREREREREAYGIiIiIiCggEBERERERBQQiIiIiInKZc7+QG9uyZQuHDx8ud76bmxu9evXC29tbJSMiIiIicrkFBJ999hnbtm077TLt2rWjTp06KhkRERERkQvAZBiGUREJnc17COx2O1artdz5ZrP5rJ4O6D0EIiIiIiIV44I+Idi6desZmwz17t0bHx8flYyIiIiIyOUWEHz55Zds3br1tMu0b99eTYZERERERC6QC9pkyOFwYLfby51vNpvx8PA4YzpqMiQiIiIiUjEu6BOCH3/8kT/++OO0AUG/fv3w9fVVyYiIiIiIXG4BwbfffsvmzZtPGxDExcUpIBARkQvm0KFDvPvuu2zatIkGDRowadIkatWq9bfTNQyDX3/9lddee409e/ZQp04dHnnkEeLi4jCZTMp4EamaAcHkyZOV4yIiUqnk5uYSEhLCnXfeyYIFC7DZbK4KvcPhoKCgAIfDgbu7Oz4+Pri5uZ1VutnZ2bz44otERUXx1FNPsWbNGiZNmkR4eDjNmzdXxotI1QwIREREKpuYmBhiYmJISEhgwYIFrulWq5VPPvmEJUuWkJeXh7+/PwMHDqRPnz5n1d/NZrPhdDpp3749kZGRGIbB0qVLyc/PV6aLiAICERGRym7//v0sXryYp556ikaNGrF582bmzp3LVVddRVRU1BnXDwwM5IYbbmDBggWsWLGC48eP07ZtWxo1aqTMFREFBCIiIpXdli1bWLNmDUePHsVsNmOz2SgqKiIpKQl/f3969OhR5npXX301L730El5eXiQnJ+Pn58fVV1/N7t27+eWXX8jJySEoKEgZLCIKCERERCozq9XK9ddfz5QpU1z9Btzd3QkLC8Pd3Z1PP/20zPV8fX0JCAggKSmJH3/8kVdffZWmTZvSq1cvnnjiCbZu3UrdunWVwSKigEBERKQycDgc5OXlkZubi91uJycnh7y8PNq1a8fixYs5fvw4LVu2pKioCIvFAoCHh8cZm/6YzWbsdjtHjx6lbt26JCUlYbFY8PHxUaaLSKVyQV9MVlH0YjIREakoR44cYfLkySQlJbFp0ybat29P586deeCBB3j77bfZsmWLa3Shhg0bMnToUMLDw8+Ybn5+PjNnzmT79u0EBgZSWFhIREQEjz32GDVr1lTGywV19OhRDhw4AEBkZCR169bFbDaXWMZut5OQkMAff/yBu7s7jRs31rGqgEABgYiIXP7y8vLYtWsXVqvVNS0sLIxmzZphsVj4/fffyc7OxtPTk5o1axIREXFWowwZhkF2djbx8fHk5ubi4+ND/fr1CQsL03sI5IJKSUnhyy+/pGnTpgAkJCRw0003lapPHT58mLVr1xIZGUlRURFHjx6ld+/ehIaGKhMVECggEBEREblULV++nMLCQm6++WYAlixZgru7e6mO8V9//TXBwcFce+21AHzxxRfUrFmTDh06KBMvcxXWh0CV9IplGAY2m63U4zwRkfPhcDjw9PTUnem/XGcdDgeGYShf5LLldDo5fvw4LVq0wG63A1CjRg127Njh+nxSWloakZGRJZZLS0vDarWqPnKW1xQoHnzgUrumVNgTAqlYKSkpTJs27aweS4uInElRURH//ve/8ff3V2acEiR9//33rFy58qzfPixyKR7nv/32GxEREa6bt2lpaRw+fJjWrVuXWHbXrl3Ur1+f4OBgV10kJyeHqKgoBQRnGRA0bdqUQYMG4enpeUntu0YZqqTy8vJYu3YtzzzzDO7uKiYROX+FhYX079+fiRMnKjP+8s97+/btAHTs2FFPCf5hTqeTxYsXk5GRwV133XXJVZguJStXrmTmzJkl+sXExcUxevRoAA4dOoS/vz+dOnUqsZ7VaqVhw4auYXH37t1LXl4ebdq0UaaehYSEBJYtW8Ydd9xxye17hdU01YegggvG3Z3w8HB69uyJl5eXzjIR+Vs3GADdBf8Lk8mE2WwmJiaGG2+8UXdA/2F2u539+/eTnJxMjx498PX1Vab8A9atW8fXX39dIhgAWL16NTfffDNPPPEES5cupXHjxqX6EDidzhJ9CKxWq/oQnIM9e/awYcOGS/Lmgm49i4iIiFQCFouFnJwcrFYr4eHhrqDp5IhVOTk5mM1mgoOD8fPzw2QyYRgGubm5ZGdnY7PZWLJ0CQePHYQaQErJ9GfOnEn9+vU5ePAgN954I2lpaWzYsIE2bdoQERFBdHQ069atY+PGja73bjRu3FgFUwUoIBARERGpBOLj44mPj2f//v306dOHJk2aAJCamsry5csJDg7GZrPh6elJt27d8Pb2JjMzk/Xr1+NwOthwYAMf/z97dx4fVXX/f/x17509M5kt+0ZICCQQzE6t5gAAIABJREFUSBACIjuCiAuCIuJWFa390Vb7VWtba9W22kX90kfVulTFpVpEFEUQcauA7DuBsC9hCSF7JjOTZLZ77++PwdEU++2iILHn6cMHmcnlTnLuZe59zzmfc9bPg/OBfOBFwP/5/k+cOME777zDxIkTqaqqoqamhry8vERtUXZ2NsOHD6empgaz2czEiRPFlKMiEAiCIAiCIAhnSs+ePenRoweNjY2J53RdZ8OGDbjdbsaNGxfvBViyhH379lFaWsrmys28+OmL1OXUcTRylBMZJyAC7ACiXfdvMpkYNWoUl19+OR0dHSxYsICSkhKcTicQH1aYn59Pfn6+OBj/ZcSASUEQBOGstnTpUoqLi3G5XNx55500NTWdss2qVauQJKnL/9XV1aLxhG7FbreTnJzcpd4nFApRV1fHoEGDsNlsOJ1OsrOzmf/OfIbePZQLn7iQhe0LWedbR2NdI85qJ7wNfAJ0dt1/eno6F154IRaLBY/HQ3p6OnV1daLhhW+2h2DNmjUUFhbS2dnJ5s2bmTx5sphm8wtUVaWqqordu3cTDodJTk7m3HPPJScnp0vBSiwWY/PmzezevRtd10lJSWHcuHEkJSWJRhQEoVvbvHkzjzzyCA8++CB9+vTh4Ycf5pVXXuG22247ZQa2kpISPvroI6xWK0Bi6kRBOFvpuo7f76epqQmz2UxWVtYpxe2hUIhAIEB1TTWr965m4bqFLN24lJZYC+b+ZtKS0+ib0pfLyi7jhvNvYP269dx1113s3LmTL84sn5WVxZgxY7oUc5vNZsLhsDgQwjcTCGKxGI8//jgHDx7E5/PRv39/PvzwQ8aPH5/othKgubmZnbt2MqRiCNnZ2ezcuZMtW7bg8Xi63OwfO3aMlStXMn36dOx2O8uXL2fVqlWnzB4gCILQ3W6WtmzZQnFxMZdeeikWi4Xp06czd+5cbr311lMCgc/n469//Ssul4uxY8eKsc/CWW/BggUsXbqUPXv24HA4uOCCC7jssssA8Pv9fLLsE9ZsX8OST5fwxM4nOGI6guSVcKe5GWcfx6RRk9AP6Vw4/EJKS0uRJImsrCxmzpyJz+djzZo1hMNhysrKuOCCC6iurkZV1S73Y2Jqc+EbCQR+v58HHngAr9eLy+ViwIABLFu2TByJL9Hqb0U2y+Tm5ZJkS6KwsJCjR48SDAa7BIKDBw9SUFBAXl4eAKWlpbz11ltMmDBBTKMnCEK3paoq9fX1ZGdnJ25a0tPT8fl8XW5qID4d9c0330xqaio7duzg2WefZe7cufTu3fuUfUYiETRNS3wtCN+EZ555hgceeICGhobEc8uXL2fp0qVEY1F8ug9fTx91tjrC0TAoMHrQaK4rv47mrc0MyB/ABeMuYKVpJc3NzWiahiRJtLW10b9/f0aPHs2JEydQVZX09HSsVitz5syhpaWFlJQUIL5AmagXEM54IKiuruaBBx7g3HPPZfPmzVRXV7N27VomTZrEoUOHmDdvHt/97nfFTexJ4ViYNkMbfvxYdStGoxFJkohGo6eErNTU1MRjl8tFKBQiFAqJeZ4FQei2dF1HVVUsFkviOVmW0TTtlG379evHgw8+mHg8Y8YMnnzySR577LEu223cuJEbb7yRvXv3Jp7761//KhpbOKOi0Sg//OEPTwm24WiYj/d9DKlAOeCG5ORkLu5zMUUtRdw8+mZ8Ph+bYpsYPnQ4iqKQl5fHRx99RGZmJhBfTGzs2LEYDAbsdjurVq3C5XJhs9koLi5mw4YNWCwW9u7dSygUoqCgQBwQ4cwGgtdff50JEyawcOHCLguZLV26lKFDh1JfX8+uXbsoLS096xuupaWFI0eOEAgE6NmzZ2JVv7/X2dnJgQMHaG1txel0UlhYmJje65++RmMLq5avIiUvhWEDhqFoCpqunbLghSzLXd5UPvtaBCtBELr1BcpgwOv1cvDgQVRVxWAw0NraisPh+KfvbyUlJezcufOU5ysqKti6dWuih+CPf/yjaGjhjJs7d278Wi0BVsAFFABZQDvYsTMoaRCDMgZx/SXXU9a7jMrKSjZt2oTJZOKCCy5I3Evk5+czevRotm7dCsC5555LXl5eYuE9q9Wa+PcyePBgIL54md1uZ9q0aYmaG0EEgjPmZz/7Gc8++2wiDJSUlNDc3ExDQwPr16/n7bff7jY1BOvXr2fBggWsW7eOm2++mTvuuOOUbSKRCG+88QaLFy8mMzOTpqYmxo4dy/XXX9/lE69/xORvZ9sT86hcvpFZD/+I8tJygmoQydg1ELjdbo4fP5543NzcjNPpFMvCC4LQrUmSRP/+/VmyZAmbNm0iJyeHDz/8kP79+2Mymfjggw/IzMxkwIABbNy4Ebfbjcvl4tChQyxatIjvfOc7p+xTUZTEDZCqquJ9UjijgsEga9euZd78eZAB5AE9Tv5pBo4BdTC2bCzzZ8/HYvj8XqG8vJzy8vJT9inLMsXFxYk1C77I5XIxYcKExGOLxcKIESMYMWKEOBjCNxcI/t5vf/tbFixYwKuvvtrtGq6iooJ+/frxm9/85h9uc+zYMRYuXMj3vvc9hg8fzsqVK3n++eeZMGHCvzRmrzcwDXhrx0Fm3/EIM3/7XVwWFyFriFUbVuEwOygrK6O4uJh169ZRVVWF2+1my5YtnHvuuaKHQBCEbq+iooLJkydz3333EYlE6Nu3L7feeitGo5HXXnuNc889lwEDBrB27VoWL15MJBLBZrMxderULw0EgvBNaG9v55133uHV+a9S1VFFrbc2foF3ACGgCtgDtILULnHNrGu6hAFB+NYFgn/UNWUwGLpVpftnBTn/V1dbbW0tZrOZfv36YbfbKSsrIxaLfWkRj67rdHZ2EovFAAgEAqQAU4B24MGDJ9jw6QauvPNKDkuH2XdkHylJKfQb0I/09HSuuuoqFi9eTEdHB4MHD2bYsGHi7BYEoduz2WzMmjWLWbNmnfK9l156KfH17bffzu233y4aTDirBINB5s6dy2/+8BuOphyFIcDJgRBuzU3rolbYRXwhsZOGnTeMiooK0XjCtzsQXH/99Vx//fWJxzNnzmTmzJnfysYNhUIoipJYW8FsNmOxWPD5fKdsG4lEePjhh/nkk08ACIfDpAG5wA+Ah2SJ5Nxkoo4otdFasiZmkWnIpC5ah1txk9cjj9tuu02c0YIgCILwDdE0DZ/Px4HDB3h/9fu89N5LVFuqYQoku5LJd+YzNGcoV5dezZj8MTyoPMg78js0NjZiMpkYNGgQd999N4WFhaIxhW93IPivalyDAV3XEzNiqKpKLBbDbDafsq3JZOLee+/lnnvuAeLDje44OV3eB4DBIJNWmkYnncSIEVEjhPQQQS1IpiGTNEMadtmOUTKeUnQsCIIgCMLp1djYyIr1K/jbrr+xpHIJxwzHkAfJ5HnzqMiuYGTeSM7veT7FqcUY5Pjt13333cd1111HVVUVTqeTESNGdFmlWBBEIPgWcLlctLe3EwwGgXixbzQaxev1nrKtJElditvMZjNBYD7wMKChs2XBFhxpDlJ7pBKVosS0GCEthF/zE1SDpBpScRvc2GU7siTqBwRBEAThdNJ1naNHj/Lqklf5+OjH7AzvpJFGpEKJwTmDuaLvFYzIHUGflD6kJqV+6bW/oKBATP0piEDQXfn9fo4cOUJTUxMmk4mqqioyMjLYtGkT7777Ln/605/o1asXqampPProo/zP//wPL7zwAikpKYm5gv+ZVcBGSaLk8nLuuOsC3v752zx/7fNMeWgKxWOLu/QWBNQALVoLOXoOLsVFmpKW+ARCEARBEISvV3NzM/c+cS8LahbgS/MRM8UwJ5mZXDiZHw//MQMzB2IxWFAkRfTcCyIQfFtt27YtUcBWVVXFsmXLuOOOO3C5XInCYIfDwf3338+jjz7KTTfdxDnnnMM999yD2+3+l14jozSbq5+8muzSbCRJ4qaXbmLVnFW89dO3KB5fzKhbR+HOdhMzxogSJRKLENSC5Bhy8Bv8pCvpOBQHCuLNSBAEQRC+Cl3XqW2qZc/xPTy5+EkWHl4IueDu5abEXsLFvS7mliG3UOAuENdcQQSC/xajRo1i27ZtX/q9iy66KPF1bm4ujz/++H/0Gs4sJxm9MxJvLNZkK+ffdj4FQwtY/eJq5t0+j0HTBjHgkgEkeZJQUYlqUTqiHaSpaXQaO/FqXlyKSwwjEgRBEIT/QCgSYsO+DWyp38LbW95mfcN6opYoxaXFjC4czcjckUzsMxGvzSsaSxCBQPj6GTFiw0aUKDo6ALJBpvC8QjL7ZrLzw51sfG0je5ftZcKdE8jun42GRkyPEVJD+HU/QSVIu9JOsiEZt+zGIltEMBAEQRCEf0LTNeaunsuifYvY0rCFQ/5DGI1GRvcazTWDrqF/Wn9KMkuwGW2isQQRCITTJ0lKosBQQAsttNFGmHDiezaXjUHTBtHrvF68//D7PDbpMSb+dCIjbxmJyWoiRoyoFiWgBWjT2sgmmw6pA5fiwqW4MMpG0cCCIAiC8HdaO1p57MPHeHrr07QZ2oioEQydBq7IuoLfX/N7Mp2ZWIziwzVBBALhTB0c2YDH6MFlcNEWa6NRa8SPP9FjIMsy7hw3Mx6fQb+J/fhw9occ3XyUMT8YQ25ZLphIFB23qW1kGbLo0Dvo0DpwGVzYJFu82AlJjHcUBEEQvhUikQjBYJBoNIosy9hsNmw2G5Ikoes6kUiEQCBALBbDarVisVlo7mimJlDD86uf5/Utr+OP+bEarZQklXBp3qX88MIfkuZK6/I6HR0diVkE7XY7NpvoKRBEIPiXC2WFf51ZMpNuSCdsCGORLTg0B61qKy1qSyIYQHzasgGXDCCrXxZrXl7DovsXUXJ+CQOnDiSlIIWQFCJKlHAsjF/3k6Kk0KF3kCwn41AcWCUrRkn0GAiCIAjd3+HDh9mzZw+6rqPrOkajkWHDhuHxeIhEImzevJnjx4+jSRoHmw4SSYuwsmUlK46tQDuqkRPMYVLhJJLUJG4deytDBg855UOztrY2Pvzww0TIsFqtTJgw4UvXGRKE/6pAIHz9jJIRl+IipsSwylaStKR4MJAdBGIB6vV6ggTRiC98ltIzhYk/nsiRzUdY8cwK9i7fy4hbRlB6YSlYIEiQsBomqAUJqAG8Bi9u3U2ynIxVt2KVrRgkcUoIgiAIZ7eDBw9y4MABgsEgDoeDsrIy0tPTE4uBhsNhwuEwBoOBY8eOkZmZicfjoaamhlfnvUrAHKBOrWPH/h00Ko1oqRolxhLKksu47rrrGHbOMBobGpk3bx6HDhwiOTmZiooK0tLivQTbtm0jHA4zefJkdF1nyZIl7Nixg8GDB4uDI3RLYgDcWUxCwiyZcStuvLKXZCWZdEM66YZ0vEYvvY29ySEHK9bE3zHbzRSNKuKGF26g/LJy3rnvHd76+VtEQ/FhRhEiNOvNHFYPcyRyhJpoDbVqLX7VT6vaSofWga7rovEFQRCEs9bevXtJTU1lyJAhmEwm3n77bSKRCLqu097eTlZWFmPHjqWwsJBDhw7R3t7OEd8RHlr6EC9UvsDc0Fw+NnxMg6mBIl8Ri6cvZv5t8xlXOo4JIyfgcXuIxWJUV1eTlpaG3W7n5Zdfpr29HU3TOHz4MOXl5SQnJ+N0OunZsydVVVXiwAjd1tf2cXBra+sZ+6H/24YnSZKERbZg0k206+0YJSNJShJtahsW2YJLddEQa6CVViJEQAKT1cSIm0eQOzCXpb9byv+O/V8uvvdieo3shTXZSlgKU6fX0R5rJ6jFZyLyKl4icoSQHCJJTsIoGUV9gSAIgvCN2rdvH1u2bMHn82E2mykqKmLcuHFYLBZOnDhBVVUVy5cvp7GxEVmWGTZsGMOHD0eVVbbt3sbKrSuZt3sedUl1oIKh04DzqJNSQynfv/L7AAzoM4APPviANWvWAFBcXExlZSVFRUXk5OTQp08f9u7dy44dOxg4cCDRaBSn05n4GZOSkggEAuJgCSIQCKc/FCiSgkN3YNbNdOqdGCQDnVonVtmKXbbTqrXSpDbRprcRIYIkS+QPzuc7z32Hja9v5NNnP2XPsj0MvWYoPQb1QEXFp/voVDsJaAGCWhCvEl+3IKyHscpWLJIFEyYxm4IgCIJwxjQ0NFBXV0c4HKaxsZG+ffvSs2dP/H4/b7/9Ng0NDWRlZdHU1MTx48ex2+20t7dTWVnJinUrGLpjKB1KB6+89AqNWiOkgLnOTEpHCv2z+3PpxEvJysri6NGjNDc34/P5OHz4MAMHDuTCCy/k/fffZ+/evfTu3RtFUQAoKChIhA5ZlolEIomfNxqNYjSKWjxBBALhDAYDs2TGqBuJ6BGMGDFLZpKkJGy6DYfsoE1to06tI0gQFZUkTxKj/99oeg3vxfq563nrnrfof1F/Rtw8AovDQpgwjXojwViQoBYkqAbj05OenInIJJmwylZMkkn0FgiCIAinxd69e9m/fz+hUIiDBw9SUFBAjx49AFi1ahX79+/H5/OxcuVKUlJSuPHGGwmFQnzyySccOHCAlo4WSAdy4KMPPoIG4Ai4U91cnHcx02ZOY/5f52M2m3G5XHg8Ht599100TaOhoQG73Y6iKNjtdnr06MGSJUvo2bMnDocDAJPJhN/vx2Aw4HK5OHr0KIWFhYkAk5WVJQ6iIAKBcGbJkowZMybFRIfeQTvtmDBhk2zYZBsexUNdrI4T2glChJAkiez+2Uz+1WT2Ld/H/Dvns+vDXUz9/VRy+ueABB10ENJC+DU/6Xo6HXTglt04ZSdhwpglM3bZLgqPBUEQhK8sFouxcuVK1q5dy549e/D5fPTq1YsRI0ZgMBiYM2cOXq+X+vp6Dhw4QE5ODps2bSIWi6EoCnPnzsXhcNDY2kgoLQR9gRagGagDjkJ+Tj4zr5lJc1MzLz//MgcPHqS4uJi6ujreeOMNUlNTyc/Px2azEQgE8Pv9bNiwAYjPVnTppZeSkpICwJIlS+jTp098Zr8BA5g/fz6ZmZnEYjEOHjzIjBkzxEEVRCAQzjxJkpCQsEt2LJKFdq0dRVKwyPGvLbIFd8zNCfUEzXozUSmK0Wyk38R+/Gzdz3j3l+8y9/tzGfadYZRPKceR6kCTNPz4aVfb8apeAoYAHoOHFFJQJZWoHsUm27BIFmRk0WMgCIIg/FsOHTrEb37zG+rq6ti5cyf79+9HVVVGjhxJXV0ds2bNoqWlhVgshiRJWK1WbDYbq1evTuxD1VQibRF8QR9kAsMBFWgE9gEn58Y4XH2YX/3yV1itVoqKikhLSyMjIwO/38/BgwdxOp306dOHpqYmUlJSCIVCBAIBtm/fTnp6OllZWcRiMTo7O6mtrWXMmDEA9OrVi8mTJ7NhwwYkSWL8+PGJ4CAIIhAI39yBlAwky8mE9TCdeieyJGORLfH6gpgdj+qhUWvEp/uIEMHqsHLZQ5ex+6PdrHt1HXv+todhNw6j98jemO1mVFQaiQ8jCqgBgoZ4fYFDdhDTY4SkEBbZghkzCooIBoIgCMK/pLW1lQMHDnD++edz+PBhUlJSkCSJtrY26urqUFU1cU3RdZ2Ojg46OjpAObkDGbAC0ZM3/n7gPeK9A383SZ4sy9jtdqxWKwcOHMBsNhONRonFYqSmpuJ2uxk8eDAbNmygpaWFAwcO8KMf/QiPx0Nubi6tra0sW7aMzs5OpkyZwrhx4xL7Li0tpbS0VBxQQQSCr2rVqlVUV1dz7bXXIsuiaPWrkiQJM2aMUry+oEPrQJEVLEYLdoMdV8xFk9pEvVqPDx8mq4kBlwwgpyyHHe/t4MP//ZB9y/cx5vtj8PbwoqPTQQdhPUxbtA2/6serePEoHuwGO6qqEpbii6ZZsYpQIAiCIPzL16tdu3YRCARwOp0cPXqUxsZGQqEQ4XAYVVW/cFcPWIDPLjExIHwyEGhA6B+/jtVqJTU1FUVRaGtrIxKJ0KdPH4LBIKFQiLS0NHr06IHf7+fPf/4zBQUFBINBDh48yPjx40lKSsLn82EwGMjIyBALjwkiEHzdPv74Yx5++GFUVeWcc86hX79+4mh8TW+yCgoWLJgUE51aJx16B0bdiNVoxa7Y8ca8HFeP06A10Cl34u3hZdSto+gzpg+LHljE05c/zbT/nUbx2GIAVFSCBOnUOmnT2mjT2sjUM3HIDmyKjagapUPqwCE7ROGxIAiC8H8ymUzU1NSwZMkSQqEQuq53DQCf3Z0knbzZV07e+Me+EAj+bn+xWAxN0055rfz8fKxWK8ePH49/aGY2k5mZSXt7O4qiEAqFkGWZ0tJSbDYbtbW1fPzxxwwbNoz8/HwkSUosRiYIIhCcxjBwwQUXUFJSIo7EaQoGdsWOSTMR1IPIuoxTcsaLgw123FE3x9Xj+HQfUSVKZkkm33n+Oyz70zJe+e4rDJo+iDGzxuDKciErcnyaUnyE1BDtWjspSgopegoOxYEFCz7Nh0WykCQniWFEgiB8bTo6OmhtbUVVVex2O06nMzEV5BcFg0F8Ph+6ruN0OklOThaNd5aoq6vj4MGD/P73v6epqekfb2gDvMTrATpP3qXoxHsE/sGamXl5eQwZMoR3332XcDhMLBZD13WMRiOZmZnk5+cTjUZRVZXW1laamppISkpi1KhRKIrC9u3baWpqIjc3l1tuuYWkpCRxwAQRCM5kGOjZsyfnn38+W7duBeILexQXF4uj8nV/GiObcOtuQnqITq0TWZEx62bMkhmX5qI+Ws8J7QRBPYg12cqkeyZRfH4xnz7zKfPvnM+gKwfR/6L+WOwWdHQ66SSshwnGgrRpbaQqqXgMHuyyHVVSiegRrJIVs2zGgEEEA0EQ/mNtbW089dRTrF+/HkVRcDgc/OhHP6K8vLzLe0swGOSBBx7gwIEDyLKM0+nkt7/9rZgK8iywdeNGrr/hBnbu3v3ldyEy8U/9P6sNMAJNJ0OA9n/v22g00tnZSU5ODldeeSUAVVVV1NTUEAwG6ezsRNd1QqH4bHufDVVKT0+ntLSUPn36cOzYMcxmM9dee60IA4IIBGfCnj17EmEAoLq6mp/+9Kddtnn11VfFG/hpIEkSFiwYFWO88FjrRJZlzLKZJDkJd8xNvVpPg9pAUApSMLSA1MJUdizZwdqX17Lrw12M/n+j6XFODyRZQkMjQICQFiKgB/BrfjwGDx7Zg0W2oEkah44dovZQLaFAiKFDhpKZmQnEi8T27t3LoUOHMBqN9OvXL3HMNU3jyJEj7NmzB4CioiJ69uz5pZ8GhsNhdu7cSW1tLTabjXPOOQeXyyUOtiB8i6xfv541a9bw0EMPkZGRwZNPPsm8efPo168fJpMpsd3ChQvZuHEjzz//PGazmR/84Ac899xzPPDAA6IRv0ENhw7x+5/9jF1/HwbcQMrJu5B64oXBCtB+8uvol+/PYrFgsVhQFAWfz4csyxQVFdHS0kJ9fT1JSUkUFhbS0dFBJBKhqamJqqoq6uvriUQijB49muLiYioqKujXrx92u52BAweKAyX81zujlbxpaWl4vd7P04jBkPjHbbFY8Hq9Ip2f5lBgkAzYJBtuxU2SnIQBA3bZTrYxm96m3pQYS8iSsjBhwpHiYOg1Q7nu6esw2Uz85Za/sOLZFYTbw4l9Roni030cVg9THammOlpNS6yFgB6gsbWRiBJh9+Hd1LXWoevx/t69e/fy3nvvkZ2djcViYenSpYTD8X3W1NSwYsUKMjIyyMzMZM2aNdTU1CT+7hdVVlaye/duCgoKCIVCLF68mFAoJA60IHxL6LrO7t27KS4upqSkhPT0dEaNGsXevXu7rBIL8OabbzJhwgR69+5Njx49uOGGG1i6dOmpY9OFM6pq924+WbUqPtpHBvoD5wK9ARPxGoEInxcKh748DEiSxJgxY8jNzSUajRIIBLBarcycOZPnn38er9dLTU0NO3fuZPjw4Vx00UX069ePuro6KisrsdlszJ49m6eeeoqbb76ZIUOGYLfbxQEShM/uyc/ki3k8HmbPns2dd95JY2MjWVlZzJ49u0tI6E6i0Sitra10dnZiMpnwer1dPrH6zGfjX2OxGGazGY/H86XbnclgoKBgl+2YJTNBLUhMipEsJWOVrTgVJw2xBk7ETtBqbEXJU7j68avZtmgbHzzyAYfWHuLS+y/FnevGYDKgoxMlmljtuE1tI11NJ6M4A6ti5eCBgwTVIC1qCzZsbN6ymfPOO4+ysjIikQi7du1i/fr1DB8+nMOHD5Obm8uAAQMACAQCiQVpvthLoOs6O3bs4LzzzqOkpIS+ffvywgsvUF1dLWpSBOFbIhaL4fP58Hq9iZnokpOTCQaDpxSQHjt2jEsuuSTxOC8vj2AwSHt7e5dago6ODmpqagiHw2iaRl1dHc3NzTgcDjG88TTYtG4dbZ+Ft6knA0ENGHaD6ge9/mQg+AfMZjMjRozg+uuvx263s379eurq6vB4PAwbNoykpCR2795NLBZjxowZiQlKZFmmubmZvLw8evfuTUlJCSaTibVr14qDIpw2hw8fFoHgX5Wdnc0f/vAH7rjjDo4ePcpdd93FE088kVgavLtQVZWPP/6YF198EU3TCIfDTJ8+nRkzZmA0GhPbBQIBZs+eTVVVFUajkXA4zKWXXspNN930jf8OkiRhkky4JBchPURIi4+xdEtubIoNl+KiPlZPvVqPHz9ll5aRWZzJqjmreOE7LzB4+mDKp5TjznUjy3KXaUo7Yh20aq2kKqm0q+1E9AhhPUygI0Cjv5ExBWPQdI2NGzfyzDPPUFpayuDBg2lra6Nnz57IcnzRM7fbzYEDB9A0rUsgiEQitLe3d1kIJj09ndbWVvGOJAjfEpIkYTQaiUajiV7CWCyGwXBqbZLVau3Sa9DZGR8WaTB0vcwdP36c5557jtraWnRdZ9euXciynBimKHy9/A0NWGWZqKZBMP6c0gCuzRAMfT5jqES8ZthkMpGSkkJHvkizAAAgAElEQVRycjIFBQWJIPjmm2922W9raysHDx7s8tzevXtZtWrVKT/DunXrWLdunTgYwmkXCATIzs4WgeA/CQW1tbU0NTV1u0AQDod5+eWXGTduHNOmTWPHjh387ne/Y9CgQfTt2zex3e7du1m4cCHz5s0jIyODxYsX88wzz5wVgeAzsiRjk2yYJNPn9QWSjMlowiE78Gge6mPx+gK5t8wl91/CgTUH2PDqBg6sOcCwG4bRf1J/ABoPNVJTWYPNZaN0dClBLUhTrImmWBMBNUAsGiOshQkbw9QH6nnzrTcJh8O88847/OQnP0FV1S4Xe0VRvnQquc8u/F+82BsMBjE8QBC+RRRFISMjg7Vr16KqKkajkRMnTuB2u0+pKyorK6OysjLxeOPGjeTn52OxWLpsV1hYyG9/+1t0XUfTNGbPnk1qaipTp04V6+GcBpXLl/P/broJfyAAh4BzQM2FplTg2Ofb6UBxWhq3//jH9CovPyUQCEJ3sHv3bp5++mkRCP4dOTk5PP3007S0tNCzZ89u13Dt7e0cO3aMMWPGkJKSwtChQ0lLS2PPnj1dAoHb7SYWi9HY2EjPnj1pbm6mR48ep+zvs1kQYrFYYv9n/GSQDCgomGUzHXoHnXonSUoSViU+jMgb9XIidoK6pDr6ju9LXlkeG1/fyDu/eIeq96pQFJndH+0i1B5BVmQy+6Rx8f2TadVbOR49jjvqxi7ZiRChLdjG4cbDrF2/lilXTmHeK/N49tlnmThxIpFIBF3XkSSJaDT6pQXFVqu1SzD47Gun0ynekQThW0KSJCoqKnjxxRcThcSvvPIKF1xwAWazmd/85jf069ePKVOmMGvWLKZMmcL8+fNxOp388Y9/5MknnzzlhlKW5cRzqqqiKAp2u73LsCTh6+N1ubB81mu+H3gbmARcArxEfGrRkw63tLBhzRquv+EG7GLuf6Eb6s73IN/oSsUpKSldhnx0J01NTSiKkhib+tny6IFAoMt2BQUFPPDAA1x99dUAZGRk8NRTT52yv3A4zN13383ixYuBeLf4NzHzwWeFx8kkY5EstGvtRIniVJxYJStOgxNvxMsx9RiGNAPjbhtH4XmFPDn5T2R2Rvk9cDlQA/xi/WEW/fwtCsf2IeucLI6Ej+BSXGhOjU07NrF9zXZy83Oxe+z86N4fMeexOfTt2xdZkenduzeSJNHQ0IDH40FRlPjKyOEwZrMZg8GAx+OhtrYWr9dLNBqlvr6+SxgTBKH769+/Pw8++CC//vWvaWxsZPr06Vx99dUoikJ9fT05OTkAlJaWMnv2bB555BEikQgPPvggU6ZMEQ34DZNlueuHOvsADzAapOmgv05i3NBPYjE+PXaMjpYWEQgE4b8pEHRnZrMZTdMSQ1R0XU+Mbf2iyspKnnvuOebMmUNRURHvv/8+9957L4sWLUp8yv3Z/v7whz/w6KOPAvECuTvvvPMb/R1NsgmDZEjUFyCDW3JjNVtxqS7qYnXUa/W0elpRQ1F+AdxMfCxoKvALYGZlDfWZTur31hPyh8gqzMJeZmflmytZMX8F4y4ehyvDxcWXXsyyD5axZsMazElmPl35KbIk4/P5GDlyJJIk0dLSwooVKxgzZgxer5dBgwaxfft22traaG5uJisri9zcXHFyCsK3zJgxYxgzZswpzz/++ONdHl922WVcdtllosHOIpk9ezJmxAj2LV5MRywWX1dgM+ACfVA8GLAiHgpcQDQcJtDQgLewEOUL9XiCIJzm8C6a4D/j8XgwGo3U1tYC8a7n+vr6U5Y43759Oy6Xi4kTJ1JQUMCkSZM4fPgwPp+vy3aSJGEymbBarVit1lPGvX5jJ4gkY5NtOBUnDtmBSTJhk214jV4KzYWUGEtoXdWKqsPkk2HgMz2AIUA0HCOlIAWLw4Jm0DBkGdhVuQt3vpvyy8spGllEh9zBxddczKHqQzjTndjSbLjSXIwcNZLU1FQkScJut1NeXp6YmraoqIhhw4bh8Xjo168fY8aM+UZnbxIEQRC6SsnP5+7f/Y6fXHvt50+GT4aAfUAZMABQ4iOI9hw+zB333EPVmjWi8QRBBIKzn9VqpaysjBdeeIHt27fzu9/9DoCBAwfy0ksvce+99wLQq1cvtm/fzrx589i/fz9/+ctfcDqdpKamdqvfV5GU+JAhxYlNtmGUjNhlOxnGDHq44zURvr/7Ow7ADMQiMTKLM8ksycTqtHK86jjb3tvGiB+MwFJqodnWzLHwMXoM7EFajzQ2bdxEzz49yeubh9lrRkVF13UsFguFhYWJsGQwGMjLy2PAgAEUFxdjs9nEiSkIgnCWyerTh588/ji/mjKFNCAfGN4O0hJwt4AyCqQcGAm4gkGOr1nDHjErkCCIQNAdmM1m7rrrLmRZZsaMGezdu5fZs2eTkpJCS0sLJ06cAGDEiBE88sgjPPfcc1x++eXs2rWLOXPmnDK0qDv4rL7AoTjwKB7MshmzbGb6tOl43U4ePxkKVOJDQjcCn5oNNO5r4JFRj7B14VYCTQFW/HkFRSOK6DWyFyFCNOgNHNWOEnAGKJtYxruL3uVI4xGiWpSQFqJVbSWoBVE19UsXKBMEQRDObtbkZK664w5kh4NjwFaAIOgfgjECTIE+zviwoVRAEzPGCcIZJWoIvoLc3NwvnV7q78f+T548mcmTJ3+rfnejZMQpO+PTlJo6+d2Tj/LHnz/E9w4f5TygEViYZCZtxhCmzDyPPX/bw+oXV7PulXWc2H2CG+bckJhaVEennXbCehjPEA/mNDMv/fklZv18Fg7FgUW2xNd6kMJYJStm2YyCIhYREgRB6EYKhw3j5z/4AQ/+/vf0PBkKxtfAnlWwczzMngqehaD6INjSQvPBg8gGA/bUVIyiB1gQRCAQzk6yJGPBglEycu30a8lIz+CTj/7GO1u3k+RM4sZLRpI1NIfO1E4ySzLpNbIX79z/DpGOCMufWk5nWyd9xvTBaIkXjsWIIXkkyqeXs+CeBQy9YiglvUtIVpKxyBasWFFRCathLLIFCxZkSXRyCYIgdAuShJqSwjlDh1LgcrHtgw/I0qCwChqT4cgo8I+G2o+h+c03WbRhA0aDgWuvuYbLrr8eg9ks2lAQzvZA4Ha7u90vH41GqaqqorKyEk3TKC4uZtCgQZjFm86/8f4uYcCAIitMGjuJ8849j+b2ZiRFQklSCOkhOtQOjkaOUqfUEfKHmHjXROoP1PPGXW+QPSCb4TcNx53z+fnjynVhtBt59U+vcuv/3opX8eI1eAlJIWyyDatsjQ8nIkSSnIRJMoneAkEQhG5ABfoOG8ZVgwfzygcfMAswR+DtVVDogbX9QGqC69cdYeSRIywC1ufmctEVV4hAIAjdIRB0N6FQiPvuuw+fz8fAgQORZZnXXnuNuXPncv/9958yW5DwrwUDr81LsjWZoBYkqkUxEZ+6tJ+hHwE1gNwhs+KpFWjEVx8+tvUYf1n9F8LBMIpJweKwoBjic1b7/X7qY/W0006b1oZX9sZ7CxQLyXIymqQRVaNYZAtJUhKKJIYRCYIgnO1kRcGclIQGrASMQDAGN70LJ5KhejikN8BF++NrmZ3QNFE/JggiEJwekUgEn8/HE088kZi15rPFbJqbm0Ug+AqMkhGX7CIkxdcvMMjxtQwqBlfw0vsvcaLzBA1qA216G+FwmCObjrD93e0EGgL0qOhB8bhi0ovSsbltSAYpUV8QVIO4dTdu3U1IDmFX7FglK5qmEZEiWGUrZswYMIhgIAiCcBZLLynhskmTWBQMEgoGadu1i6XhMH0+AvVSeHwSDOsAjou2EoRuFQhaW1vP2A/9dQxPMhqNpKam8uijj5KXl4csy9TU1BCNRnG5XOLM+IokScKCBZNiIqJHMGkmDGYDlmwLGXoGnWonDWoDx9XjpBelUzqplH0r9rF9yXY+eeITSs4voWJGBdbk+OJtMWL48RPSQvg1P27FjUfzYFfsWCQLVtmKpscLjy2SBYtsQZEUcSAEQRDOQs7cXJ598UXCwSC1VVVM/f73+XVtLcUnYNGncM9F8P1LoPwtMDU2cnTjRqxOJ54ePXBkZooGFISzNRB0NxaLhdtvv509e/ZQU1ODqqpUVFRQUlIiege+xlCgoCSCgVkz0y61Y9AMyJJMrpKLR/VwNHqUOlcdAy4ZQMG5BexdtpflTy9n+7vbGffDcfSd2BejOV54HCFClCgdagftWjtuzY1bcRPVo5gkE0lKEioqITVeX2CWzKK3QBAE4SxkT0/Hnp5OR2srisGAC3BqUL0Pgh7YMQ4OjQbjilUsv2UniqJw/vDhPPLHP5LUzdbyEQQRCM4isViMSCSSeJycnMyQIUMYMmQIAIqiiILi0xgMkpQkzLqZoBTErJnp0DtQJIVSpZSMcAYHOIAh3UDFjAoGXj6Qvz32Nxb8bAGb39zMJQ9cgifXg2JUQIIwYRr0BoJqEL/mJ0VJwak4CRMmSU7CKlmJaTHMkhm7bBfTlArCV6DrOrquI8ufz+qlqiqKInrhhK/hGiHLSJLEJqAG2BCD61bBljTYWgKXNrZz9+p29sXg1ZQU2pubRSAQBBEI/nPr16/noYcewu12d7mwfWbQoEHccccd4qw4nSecZIivXyCFMWkmOvQOOrVOUs2pJGvJ1EXrqNVqCZgCTLhrAv0v6s/qF1fz4o0v0mdUHwZePpDMvpnxqUolaKediB4hGAviUl14DB4icoROuZMkOYmYFCOqRxPrF4j6AkH49/j9frZt20ZDQwPZ2dmUlZVhs9mYP38+V199tWgg4StzZWdz/vDhvJqSQiwSYd+RI9T6/aQtgWILrK6A6S1QuEO0lSCIQPA1UFWV6upqWlpaGDt2LIMHD+7SI5CRkSHOiDNAkiQsUnz9AotuoV1qp11rR5IkcuX4MKIGrYHaWC1yP5kpD03h8KbDbF+8nUW/WkSPgT2omFFBZkl8HGn05H8hPUQgGsCtuHFLbqKGKBbJglk2E5NihPUwZskcry8QPQaC8C9ZsWIF27ZtIz8/n48++ojKykpmzJjB008/LQKB8LWwp6fzyB//SHtzM211dfz0vvu4YNUqpoZh5zL42cVw7/lwW0C0lSCIQPA1qKio4O2332b16tUsWbKEyspKrrnmGqZOnYrdbhdnwxmmSJ/XF9hkGwEtQIfWgSRJWHUrqXIqxyLHOGE5QdGIInLLczm+4zgrn1/JnOvmcM4V5zDyuyNxpDqAz+sLgmqQAAFcuguP4iFJTyIkhUhSkojp8WBgk21YsIhQIAj/xNGjRzn33HMZP348LS0tvPbaazzxxBNdhl8KwleVlJpKUmoqpqQkLElJOIF0wFsHv/gUbp0Mv5sMA/aLthKE0+EbW+a1qqqKP//5z4TD4TP2mlarlZKSEm655RYWLFjAz3/+c15//XX69u1LMBgUZ8M3QJIkFEnBJttIUVLwKl6S5WSMkhG7wU6xtZgB8gBcuLDarRQOK+SG52/g8ocvZ/uS7Tw15Sm2LdpGuD0cH+eMTpQojTRyTD3G4chh6mP1hLQQrbFWfJqPkBaiTW2jVWslqkcT46MFQTiVy+WiubkZTdPwer3MmjULp9PJwYMHReMIp40GxAB0uGgf3LkKWp3Qdl6QhlATsUiEWCSCGomga5poMEH4ir6xHoInnniC/fv3c+jQIX7961+fsWJeTdNoaGhg//79bN68Ga/Xy9ixYzEYDOJs+IYpkoJDdsSnEZWsBPUgnVonKeYUnLqTukgdJ/QTBAjQd3xf8gfns+G1Dax4egWb529myLVDyB+cjz3FjiRJhAgRIUJ7rJ02tQ2v4sWhOIjK8ZqCGDFiegyrZMUiWzDoor5AEP7e1KlTCYVCiX8biqJw++23M3HiRNE4wtdOVhSMRiPvA3VfeD6wHlKcsGPwAX7x3r0Mf20gckTCZLEw8sILGTB8OLK4jgtC9wsEs2bN4p577mHjxo3cd999PPjgg6c9FBw/fpzXX3+dvXv3YrPZKCoq4vbbb6e0tFTMLnSWkCQJkxRf3diqW2mX2gloASRdIsecg1t1Ux+rp06rAxeMunUUJeeXsPODnax4egVb07cy8PKB9B3fF8WooKERJEhYDxOIBXBrbjyyh6ghilk3Y5bMROUoYf0L6xeI+gJBSLDZbNhstsTjWCxGVVUVR48exefz0bNnT1JSUr50ogZB+HdZPR6uvOoqVnq9nFDVeBhobuaNTz9l2PJ2fFaVxb0/Ze/yT5m0AbYCdU1NFJeXY3E6RQMKQncIBC0tLVRXVyceT5s2jb/+9a9s2rTpjISCyspKHn30UUpKSsjJyUHXdQ4cOJD4fmlpKTNnzhRnxVlAlmTMmBP1BX7VT0APICFhkS2kqqkcjx6nTqkjvXc6KT1TKJ1UytaFW1ny4BI2zN3AxLsnkt0/G0mSiBKljTY6tA7atDY8qgeP0YNdthPWw1hla6Lw2CpbsWIVoUAQvsSyZcv41a9+hdfrpampCb/fT0ZGBgMGDGD27NmigYSvxGixcOGVV3L+JZckhgIdr6zkkx07+GlNO45V8D8u2DoWhrRC2n5oCoXQToYHQRC6QSB49NFHWb9+/Zd+b9OmTTz++OPcfffdp+31s7OzmTp1auLx3xfFiSK5s4skSUhIWCUrVtmKXbXTKrXSrrVjkA3YFBupsVQOxw7jM/pI65XGxB9PZODUgSx+YDFPX/E05153LiO/O5Lk9GRkRSZKlFZaCepBfBEfqXIqXqOXmB6LFx7LSUT1KCEphF2xY8SY+FkEQYD9+/czbdo0fvjDHyLLMvX19WzcuPEfvrcLwr99Y2I2Y/jCh4MWhwNZlnECZU1w3wqYeRncejlc/RI4RJMJQvcKBFlZWVgsli7PhUKhxNe9e/c+ra9fVlbGU089dcrz4XCYXbt20draKs6Is5hNtmGWzQTUAH7NT0gO4TF6SFKSqI/WU6/XE9SDpBWmMfOVmez5ZA9rXlzDK7e+QvmUcvqM6YM334tiUIgSpYUWOrVO2iJtpCgpJMvJxPQYFtmCRbIQ0SPx2YgkC0aMIhQIAtCrVy927dpFNBrFarWSmZnJ5MmTmTx5smgc4Yw4vxruXwF3TYS/XAiznGJSCEHoVoHgtttu47bbbks8fu6553jttdcA+N73vsdll112Wl9fVVU2bNjAxx9/jK7rXHHFFUiSxCuvvMKuXbsYP34848aNE2fFWUqSJAwYcCkubLKNoBZfpVhGJtd8cv2CWAMNWgNBKUjxuGJyy3LZ9+k+tr69le2Lt1M6qZTyKeUkpyeDBB10JOoLXJIrPsuRkkxEiWDSTUT1KGE5Xl9gla0YJFG0Jvx3O+ecc3jvvfd46KGHGD16NEVFRWRnZ2Mymb7219I0jaqqKt599138fj/Dhw9n4sSJX/pab7zxBqtXr048zs3N5a677hIH7Nt4LQBuqIQWK9w3CnY6D9KmBrHhEY0jCN0hEHzRyy+/3CUMXHXVVaf9Nffv38/DDz+M2Wxm27ZtvPvuu/Tq1YuKigpmzpxJZmamOCO6STAwS+b41KSyHZ/qw6f5cCgOrLIVj+ahLlJHnVSHPcXOwCkDKRpZxKF1h/j02U/ZsmALo2eNpnxKObIso6ISJEin3klbrA2v6iXFGO8xiErxguOIHCGiR7DKViySBVkSBZTCf6d169axatUq8vLy2Lx5MydOnMBms9G3b1/mzJnztb7W8ePH+eUvf0lZWRmlpaXMnj2bcDjMtGnTTtl22bJl1NfXM2vWLACSk5PFwfqWOQQkoqAGYzbCGAesGLaZ53e+xH1j7heNJAjdLRBs3779jIYBgCNHjlBcXMy9995LdXU106ZNY9asWYwcOfI/2p+qqoRCIaLRKIqiYLPZUBTllO10XScUCiVqFMxm8ylDp4R/nyzJmCUz6XI6TtVJvVpPp96JR/Zgk214Y16Oxo7SJrfhSHVQdmkZvUf3ZvWLq3nzx2+y9i9rufgXF5MzIAfFqKBKKgECdOgd8foCKZUUUwoWyUJYC2NVrInZiByyI9FbIIYSCf9Njhw5wo033sisWbNQFIVAIEBlZSVr16792l9r/fr1WCwWbr/9dtxuN5IksWjRIi644IIvveHPyMigoqICg8GA1Wr90n1+cc0Rsf5I9+BITSXd7eY7TU1/fzCJbooQS4lyv/4A/dJKubTXxUh8/p4sKwryl1yXBUE4SwLBL3/5S44cOUJpaekZe81QKITdbsdisZCXl0evXr3o16/ff7QvTdNYsWIFzzzzDH6/H1mWuemmm5gyZQpGo7HLttu2bePJJ5+koaEBRVGYNGkSt956qzj7vkYWxUKOnENADdCmtSHJEiZjfIaihlgDjVojQYJYk62M/9F4yieX8+mzn/L2z98mf3A+5VPKye6fjclqQkXFh49OvRNf2EeqkopLcaGhxXsKpAghPYRdtmOVrBgQ6xcI/z2KioqorKyks7MTu92Ow+FgxIgRjBgx4rR8cFRQUIDb7QbidWDz58+nubn5lECQmprK2rVrufHGG5FlmSuvvJLp06efMh1qc3Mz69atw+/3o2ka27ZtIy8vTxzYs5irRw/eWbiQliNHujyvqirzXn+dP694hTpnJze9+R1uM12FuzE5vrIZ0GfgQCZeeSXGfxAQBUH4hgOBw+E4o2Eg/mGCzpYtW3jppZcIh8PU1tby2muvJT5JysvLY/z48f9yuJgzZw4jRozgqquuYvPmzTz22GMMGDCAPn36JLarr6/nF7/4BVdddRUTJkzAaDT+f/buPD6K+n78+Gtm9s5uNpvd3EAScnBJgty3HFqKKKgg4oE/RFoVlRYvqIgKWrVYLP1iUaz3hQioiOABIiAgyBkJVwglQkLI5r42e83M74+VVApatYIgn2cfebjLbGeTz3x2dt7z+bw/b7Ga0WmiSApOxdmcX1Cr1SIjY5EtxKqxlKllVGqV+PDhSfcw/OHhHN5xmJ1Ld0YCg+5pdL26KykdU1AMCgECVFBBg9qAU3XiMXiIUWIIy2FMUiS/wC/7sUm2SGEzkV8gnAeampp47bXXOHLkSHMOQXp6Ona7/UcHxm+//TYbN2485bbbb78dn8/XHAxApCiaJEmEQqGTXj927FjGjx+P0Wjkiy++YPLkyXTq1Im2bdue8LpAIEBpaSmVlZXouk5NTY04qOcAV1oarrS0k77Tb4iPZ922bbT/dBubrmjkr0dfZOByaF8MXmDxBRfQo0cP4r71vSwIwlkUEPwSEhMTMRgMrFu3DoCMjAw2bdrU/CXWuXPnHxwQ+Hw+ioqKmDZtGgkJCQwYMIDXX3+dvXv3nhAQfPnllwSDQUpLS7npppto3749d9111ymDlUAgQDgcbt6/8OMdL2zmklzYZTu1ai3VWjWKpGCTbbhUV2TEgHIwQ3qPdJIvSKbiXxWsnb+WNya+QcdhHRl852CsTis6Ok00ESBAXbgOl+oi3hAfCQykMH7dj1/2Y9WtRElRWGSRXyD8uuXm5jJp0iR27drFq6++yuHDh9F1nYyMDJYsWfKj9pWdnX3SiOpxMTEx2O32E86F4XAYTdNOmVScmZnZ/HjEiBE89NBDbN269aSAIDk5ubnejCrWrj/nz/cup5M4j4ffbIcbV8DvLwe1H/x+OVTWwSRVJRwIiMYSBBEQ/FvPnj15++23f5Z9lZeXoygKMTExAMiyTHR0NLW1tSe8rqSkhB07dpCYmMhDDz3EK6+8wqRJk1iyZMkJd9MCgQATJ07knXfeASJTkvr37y966P8YGMTJcTg0B96wF5/kizyXHcSqsZSoJdRL9Uh2iRY5Lbj279dS8HkBHzzyAVve2sKwacPIuTwHs82MKqn4JB9+3U9dqA5PyEOCKSFS0OybGgZBOYhVt2KX7RglsUyp8OuUlpbGhAkTmp8Hg0EKCgr48ssvf/S+OnXqRKdOnb5z+4UXXsibb75JWVkZbrebzZs3ExcXh8fjAaChoQGr1Yosy/j9fozGyOeusrISr9eL2+0+5bnh27le4nN6jp/rv/mx6DBqNxQ7YfogeLYnXLdStI8giIDgFEpLS7+3eE5SUhI9evT4QfsymUzout58h+n44/9MKlYUBYvFwvz587HZbMTGxjJs2DBqampOGAo3m80888wzPP300wAcOXJELJn3M7HIFlqZWlGn1lGj1mCQDJhlMzbFRqVaSYVaQSONYIC2A9uS2jmVrW9vZdNrm/hq+Vd0GdWFrL5Z2D12NDTqqaeJpn8XNjO4sciW5sCgSW/CIUdWPBL5BcKvnaIotGjR4juTeP8X3bt359133+XJJ58kKSmJVatWMWnSJOx2OwCDBg1i/vz5tGvXjilTppCRkYHBYOCLL75g0KBBDBw4UByg84hRg/E7YL8H5ncFpRZoFO0iCCIg+A/FxcUsXLjwpAu0Y8eOsX79eoYPH87ixYt/0L5iY2NRFAWv10vLli1RVZWKiormO1fHpaSkEB0djcEQaWqj0YgsyyfNgZUkCfO3KjNaRQLUz84hO7BIFuq1emqlWmRJxipbcUgOvJqXGq0GP36sTiv9ftePNgPbsOPdHWx4cQN7Vu7hwhEXktEnA3OUmTBhqqmmSWuKjBjIkfwCTdYIEyakhbAqVuySPTKNCFkEBsKvgt/vp7S0lMOHDzf/HDlyhNLSUpYuXfqzvldCQgJTpkxh1apVNDQ0cNdddzFgwIDm7ddeey3x8fEYDAb69OlDUVERuq4zdOhQfvvb34rV3M5D8Y3wxy9gvxvmDYJ2BToaYjUpQRABwbfk5OQwd+7c5uc+n49ly5Yxf/58hg4desq5/d/FarXSvn17FixYgN1uZ9myZQSDQXJzc1myZAlff/01d911F927d8ftdvPEE09w7bXXsnDhQrKysk45lC2cXv+ZX1CnRUYMjEYjDs1BZbiScrWcOuoIEiQuI45Bdw4i5/Icdr67k2Uzl5HSMYUBEweQ0iEFSYIp+6oAACAASURBVJbw48ere6lVa3FpLuKV+ObE46AaxC/5idKjiJKjsGARQYFwTrv11ls5cOAAjY2NxMbGYjKZ8Hq93HTTTael0rwsy7Rr14527dqdcvvkyZObH5+p5auFs1MpUPDNY0sZ3PYJ3Ho9HLuggh1N+0nWc8T5VxDOREDw7ekvZyuz2dx8F/7gwYNMnDiRo0ePMnv2bH7zm9/8qH1ZLBbuuece7r33Xjp37kynTp147rnnSEpKIi8vj+3bt3PXXXfh8Xh49dVXGT9+PLNnz6Z///7MnTv3lPUKhDPjeP0CjxQpPlYeLqdeqscqW4lRYygLR1YjqpfqkSwSSW2TSPpTEj1v7MnSB5Yyd9hc+ozvw5B7h2COMqOh0UQTft1PTbgGT9hDkjEJu8EeWYlI9+PX/EQpUSfULxCEc82yZct46qmnGD58OFarlZ07dzJnzhyuueYaUQhM+EWYoqJwOp3cA5wwyfYIsBCaxlbwfwXPk9O2J62cYnlZQTjtAcG5wOfzsXv3bhYuXMjnn3/OqFGjGDduHHFxcT9pf61btz7lqhozZ8484Xl6ejqfffaZ6G1nmeMVj5ONyTRqjVSpVSiSglW2Eq1GUxmupFqvpokmVFRcKS5umH8D+z/bz5pn1vD0iKfpcW0P2l3cjtiWsSCDDx8llFATqiFejcdj8GCVraiSil/30yT/O79AQRF3rIRzyqJFi3j99depqKhg0KBBzauiCcIvxRYby6w5c7jntttQvzUVd8+ePfz58cfZ/WkZq8KreML1BH8d8ldsRptoNEE43wOCHTt2MH78eBwOByNGjKBVq1asXr26eXtKSsppKa4jnN1kScahRC7S69V66qQ6FEnBLtsjgYFaSZ1ehx8/BpOBDkM6kNErg10rdrHrw13sWbmH9r9pT8dLO+JMdKKiUkcdTVoT1cFq4pQ4YpVYNEUjrEWWKrXpNuySHatsFfkFwjmjd+/eZGdns3z5cl544QUaGhpEtV/hF+dISsKRlHTCv2VdfDHBpCRuv/d2QntqeMH0AvH2eO7vdz8mxSQaTRDO54BAkiQyMjJwOp0UFBRQUFBwwvYuXbqIgOB8/jBIBmKUGKLkKOq1emrUGsyyGafipDxcTrVWTb1eT4AAlmgLXa7uQtZFWRxYd4D1L65n+zvb6TOuDx0v7YjJZiJEiCqqaFAbqNQqidficStuVFklpIfwST4cugOH7MCMWQQFwjnB4/EwduxYDh8+zIoVK3j77bd55plnuP3225tX/xGEs+H7fuTIkRSXFPPAXx8gHBdm1oZZxNniuK3bbaJejCCcroCgurr6jP3SPzVfoXfv3qxYsUIcdeF7v0RMkgm37CZajqZKraJGqsGu2IkNxXJMO0adWkcddaBATFIM3a7pRperu7D2mbW8M/UdNr+5mdGzR+NJ96CjEyBAuV5ObbiWqnAVKcYUopVowlKYoB7Ep/mIlqOJVqJRJJFbIpz9ZFkmLS2NiRMnMmzYMKZMmUJ2djZHjx4VjSOcNRRF4ebxN7Nv7z6ef/d5uAP+suEvZLuzuSTjEtFAgnA6AoJzQX5+PitWrKBr1660aNGCxMREHA6HuDMrnJJRNhInxWHX7NRoNShGBatqpVKupEatoUaroYkmwoSRZZkBEwfQ/pL2rJu/jufGPEfbQW3pek1XErMTMVqNBKUgZZRFlikNe0gwJGCTbaiySkAP0Kg14lScIr9AOKekpqby5ptvsmzZMtEYwlnH6XRyzz33UFhYyGcvf8aRq4/w6LpHSXYk0yG+g2ggQTgfAwK3243L5WL58uWEQiFMJhOZmZl06tSJnJwcbDaRbCScSJZkopQoLLKFBq2Berkei2qJ3NH/Jr+gXq/Hjx9VUknITuDKJ66kaHMRO5fu5P0H3ye1ayoXXnEhKR1T0CSNRhojKxKFavDIHtyKG4fiQJVUAgSI0qKaE4/FsLZwTnxOZJkRI0aIhhDOStnZ2Tz66KNcd911FK8rZqNhIzPXzuT54c/jMDtEAwnC+RYQJCUlMWHCBBoaGigrK+Pw4cPs2LGDuXPncuzYMfr168fw4cPJyclpLiQmCACKpBAtR2OTbDTKjZhVM1bJikN2UKFWUKvV0qg30kQTBqOBzL6ZtMhtwZGdR/hywZe8fuvrXDD0Avre3JeY5BhUVGqpxaf5qNaqidPiiDPEoaERkkI06o1E69GR/AJJ5BcIgiD8L3r16sXLL7/MyOtGUv9VPe+Z38NusvPsZc9iVIyigYTz3i92+7Guro677rqLjRs3ntH3lSQJh8NBZmYmgwYN4u677+aNN97g1VdfxWAw8Nprr1FVVSV6hnDKvmOUjcQoMbQ0tiTRkIjH4CHdlE66IZ1YOZZYYjERWcHC4rCQ1S+L6+ddz+inRpP/YT5/H/p3tr2zjXAwslzj8cTjQrWQvYG9lAfLCWgBAlqACrWCY+Fj1Gq1qJoqDoAgCML/cP4eMGAATz76JHwOHIEXd77IXzf+VayUJQj8QiMEgUCAe++9lwMHDpCfn89jjz1G165dT/v71tfXU1JS8p3bx40bR4sWLUSvEP4rRVKINcRi023UqXWYJTM22UaFWoFVs1Kv1dNIIyoqOjqte7bmj5/8kS/f/JK189ayZcEW+o7vS2qXVOweO6qsUkUVjWojbtVNkjGJKDkKXdYJ6AEa5AZiiMEqiWVKhbPT+vXrcbvdpKenY7FYRIMIZ6Urr7ySvLw85i+ejzRK4uktT5PtzmZ4m+FipEAQAcEZf1ODgWuvvZaZM2cyePBgkpOTz8j7bt26lWnTppGSknLKKUFdu3bl7rvvFr1C+EEkScIqWTFJJuyanXq5HptsI1qLpkatoUqtap5GFCaMxW6h34R+tB3UlvyP8ln77FrscXZyh+fS/uL2mGwm/Pg5xrHm/IJ4JR67YkfVI4XN7JKdaDkai2wR+QXCWeWZZ57BbrczcuTIH135XRDOFJfLxR/+8AcOHjzIindX4B3l5bH1j9HK2YpuKd1EAwkiIDgT6urq2LJlC4MHD6Z79+4ApKWlkZyczJEjRzh27Bjdup2+D6TNZqOxsZHCwkKuvvpqLr744hMSiR0OkVwk/HiKpGCTbZhlM1FyFDbNhkN24JSdzfkFPt2HDx+arBGfGc+AWwdwwZALyP84n9X/t5qtC7cy8M6BtO7RGlVSI4nHmp8arQaP6iHRkIiOTlgK06g34tAduGQXRlnc0RLODk899RT19fVidEA466Wnp/OXv/yFXZfu4ujqo+Tb8rlv1X0su3YZdpOopSGIgOC0BwP33nsvPp+PsrKy5pL3O3fuRFVVioqKWLNmDQ8//DC9e/c+Lb9Djx492LZtG5988glPPvkkzz//PLfffjsTJkzA6XSK3iD8ZJIkYcCAQ3Fgk23YZTs2ORIYVKqVeDUvNs1GvV5PE03IBpn4rHgGZQ2iy6guLH90OfNGzKPbmG4MnToUZ5KzOfG4QWugPFhOK7kVHqMHTdYI6kEatAY8ige7bBejBcIZs3jxYtauXcuTTz7ZfPHf0NDAzTffzAcffCAaSDgnztcdOnRg5cqVdO7WmeDmIOsM6xizeAxLxyxFkUU9GOH8c8auIvLy8jhw4AAlJSU8//zzvPzyywBs3ryZ559/nlWrVhEOh1m6dOnpjYAMBi699FI+/fRTXnnlFT777DM6duxIQ0OD6A3Cz0KRFJyKk0RDIgnGBFqaWtLG0IYEQwJxchwuXJHKxETyAJyJTq57+jrueP8OfDU+Xhj7AmueWUP5wXLUkIqKSh11FGgF7A3upTxUTkAN4Nf8lIZLKQ2X0qg2ouoi8Vg4/YqLi1m3bh1XXnklW7duJRQKEQ6H2bBhg2gc4ZySnZ3N3Dlzse+1I+2RWH5gOTPWzqAhKK4HhPPPGRsh6NevHxMnTmTz5s08+uijBAIBrrjiCiZMmMDIkSPZuHEjixcvZvr06af199A0jYMHD7J+/Xp27dpFamoqvXv3xmQyid4g/KxMsokYKZIIHCVHYVNt1Mg1VKqRwmYNegNNNBEihI5OWvc0rm17LfvX7GfHuzvI/zCfDkM6kHNZDrEtYwnKQcr1curD9bhVNx7Fg9PgRNM1mrQmHLKDaCUai2QRScfCaXXbbbdhMBiYOXMmY8aMYcCAAaJRhHPSVVddRUFBAXNfn0vAFeDZrc+SHpPOdR2vw2wwiwYSREBwOowaNYphw4ZhNptR1cjdTEVRMJvN9O/fnz59+pzWC/PCwkJmz55NcXExXbt25bLLLiMzM5Pk5GRRd0A4LWRJxiJbMGEiSoqKTCNSHNSGaynXyqlWqyNVimkkLIWxOq3kDs8lo1cGRVuL2PjKRvKW5dHjuh50G9MNg8mADx9+3U91uBq36ibRkIhdsRMmkl8QLUfjUlwokhj2Fn5+kiRhtVq5/vrryc7OZs6cOeTn5xMKhUTjCOec6OhoJk2axN69e1n2zjLqb6zn8fWPk+XOom+rvqKBBBEQnC5Wq5XGxkYeeOABAJYtW0ZcXByDBg1CUU7vBUx+fj4LFy6kW7du5OXlkZeXd8L27t27M3XqVNErhJ/9AkpBwapYMctm7Jodu2zHqTmpCFVQqpVi1a00aA2RxGNJwxHvoOOlHWk7sC1bFm7h/YfeZ91z6xg5ayQZPTPQZI0GGmjUG6kMVZKsJZNsSEaTNQJ6gDqtjgQlAZtsE6MFws/q+JrtsizTv39/kpKSuPnmm2lqahKNI5yT5+ekpCTmz5/Pxo4bqVpaxdfXfs0tH9zC9t9vF6MEgggITqeoqCj69OlDXl4eTqezecWh061Nmzbccccd37k9NTVV9AjhtJIlmSglCotswapZsck2nGEnx9RjGDFi0Sw00ECQIBoaRquR3uN602FIBz6Z/QmL7lpE9oBseo3tRVzrOIxWI400ckg9RJVaRbKSjMvoQpd0ivVinLKTGCVGVDsWfjYTJkxAUZTm/pSVlcXChQvZvn27aBzhnJWQkMBHH33EpcMvpeLzCvb23cs1i6/hpREv4bK6RAMJIiA4XUaNGkVSUhK5ubnY7Wdmma927doxc+bMU27TdR2/3y96hHBGKJJCtByNVY4EBQ7NQVW4ivJwOTVqDY16I/5v/qej40xyctUTV1G0pYiti7by9l1vk9kvk5zLckhun4xu0psLm8VqscQr8cQYYqjSq/DpPpyyE4fswCgZRWAg/E9Odb5OSkri8OHDfPTRR/Tp00cs4Syckzp37swTjz7BlBlTqHRVstS4lCfWP8H9/e7HaRErEQoiIDht+vTpc1Y0Ql1dHa+//jrV1dVMmzZN9ArhjJAkCRMmDLIhkngsRRGtRFMdrqZcjeQXmHUzPnwECaIYFFr3bE1y+2SKdxWzdeFWlty3hDYD2tBnfB+ciU6aaKJUL6UmXINbdZNgSCDaEE1QD1Kv1ROjxOCQHSK/QPjZFRUVsXv3burq6hg9erRoEOGcNHLkSA4cOMDfX/o7apLK89ufJy0mjfEXjhfTh4RftfNq8fJQKMSrr75Kbm4uubm5fPTRR3zyySf07t2bt956ix49eogeIZz5D6EkY5JMxCgxJBmSIsuUmtuQYcwgVonFJblw4kQhMk3D6rSS2SeTUU+O4rIHL6NgXQFPDXqKja9sJBwMo6HRSCPFejH7Qvv42v81TWoTTXoTx8LHKAmV4FfFaJjw83rkkUd48sknGTFixM+2T6/Xy5133kmbNm1o1arV975W13Xuu+8+0tPT6dOnj5jCJPwkdrudu+++mwGdB+B/2Y+/2s+fP/8zW0q2iMYRREDwa5GXl8eCBQsYMWJEcyLcq6++yuzZs1m3bh0XX3zxD96Xpmls2bKFq6++mk6dOnHxxRezatWq5tWT/lNTUxNTpkyhdevW7N+/X/Q84QSSJCFJEmbZTKwSi8fgIdWUSgdzB1oaWuJSXHgkD3bszYGB0WIkq28Wty25jUvuvoTPn/uc5697nt0f76axOlKXoJ56ivQidgV2cTRwlCa1iXqtnq/DX1MeKieoBZuTRAXhh/joo4+YNWsWu3btoqKiovmcZzKZsFqtmM0/311UWZbJzc3lpptu+t4pnbquM336dLZs2cLChQu5/vrrueKKKygtLRUHTPjR5+LY2Fj+8Y9/kNUiC/8iP94yL3d8eAcldSWigQQREPwaeL1eunTpwtSpU5k3bx5JSUlMnTqVIUOG/Oh9BQIB5s2bR6dOnXj//fe56aabmD17Nl9//fUpX//ee+9RUFBA69atRa8Tvv9DKclEyVG4DC7iDfFkmjNpY2xDsiEZj+LBJbmIIgqFyLQfc5SZvjf35fcLf09G7wzWzFvDe9PeY/dHu2mqbSJMmBpqOKAeoCBYgDfkxa/5qdAqKAmXUKPWENLEkpHCD9OyZUtqa2uZOXMm06ZNY/78+Wzbtu20LDvq8XiYMGEC3bt3/95V6Hw+Hy+//DJTpkyhe/fu3HLLLSQnJ/Pee++d8mZOMBgkEAgQDAa/8yaOcH5LTU1lwYIFZFoyUdeqfFX0FTctvYkjtUdE4wgiIDjXhUIhLBYLRqOR2NhYEhMTadGixU/al8/no7CwkMsvv5xWrVpxxRVX4HA42L1790mv3bx5M6+++iq33norTuepE5N0XScQCODz+fD5fGIJPwGDZCBKjsJtcNPC1IJMcyZZpixSlBRipBickhMbtuaKx64WLgbeMZCrnriK+Mx4Ppr1EYvuXcTBLw6ihlUCBPDqXg6ED1AYKKQiVEGj1ohX9XI0fJQ6tU6MFgj/VYcOHXj44YeZNWsWI0aMoKSkhPvvv5//9//+H4sWLaK2tvaM/07Hjh2jtraWjh07ApH6Np06dWLfvn0nvbagoIBJkyYxcuRIRo0axWuvvSYOqnBKXbp04ZGHHiGhLAHTbhMr/7WSGWtnUN1ULRpH+PVdc5xPf6yu6yxevJi9e/cSDofZuXMnt9xyC0ajsfnDP3ny5B+0r/LyciRJwu12N38BuVwuqqqqTnhdRUUF999/P3/729+a3+dUAoEAEydO5J133gEid7H69+8veuh5TpIkDEQCA4tkIUqOIkaJIT4cz+HQYeq0Oqy6lXrqCRLEYDKQ2DaR+Kx4uo3pxiezP+GlcS+Rc1kOw6YNIyo2iiaaKNFLqApVEReOo6WxJaqi0qRHqh3HK/EYZaNofOE7GY1G0tPT8fv9LF68mO3btzNgwADmzp3Lyy+/zNy5c3/QaOjkyZN56aWXTrlt2bJl9OvX7wff7AFOKGxpMplOOWqRnp7OQw89RCgUQtM0nn32WXFAhe80YsQICgoKeGzWYzhbO1mQv4BsdzZ/7PlHTIpJNJAgAoJzUZs2bRg+fPgJz78tMTHxB+9LUZST7qbquo4s/3vQRdM05s+fT/v27dE0jf3791NTU8PevXtJSUk5Yfk+s9nMvHnz+L//+z8AiouLueeee0QPFf4dGEgGovVorJIVq2QlxhDDsdAxysJlmDUzTXoTDTQQlsJIBomY5BhGzRrFhVdeyMqnVvL3S/9Orxt7kTMsB1cLFz7FR7FeTHWwmhQlhThDHKqu0qQ1EavE4lAcGDCIZUqFE3i9Xj7++GPef/99Dh06xNChQ9m8eTPp6enU1dUxffp09u3b94MCgmnTpjFp0qRTbvsx52OPx4PJZOLw4cPExcWh6zpFRUX07NnzpNeazWaSkpIAUFWVmJgYcVCF72Q2m7n99tvZvXs3bz37FtZbrczZNId2nnZcln2ZOD8KIiD4Ty7X2V+4w2QyNd/RP5Ufs3a22+1GlmW8Xi8pKSmoqkplZeUJ+9c0jZSUFPbv38/f/vY3amtrOXDgAC+//DJt27albdu2J1zwWSyW5uc2m030TuGUgYFJMmGUjNh0G1bJSqwSS3m4nHK1HLNmxqf78OMnRAhZkcnqm0Vql1R2rdhF3vt5FKwpoP2Q9nS4pAOuli7qpXoK1UIq1AoSDAnEGmKblyl1yk7syr8TmQXhyy+/ZNOmTYwcOZJBgwYRHx9/wjn06quvJi4u7gdfyHs8nu/crqoqdXV11NTUoKoq5eXlmEwmHA4HsiyzePFiBgwYgNvtZtCgQbzyyivEx8dz+PBhdu7cyYMPPigOmPCzXN889thjHD58mC/e+wLvCC9/+vRPtHK2IjcxVzSQIAKCc00gEKCsrOykfy8qKmLJkiUMHz6cyy677Afty2az0bZtWxYtWoTD4eDjjz+mqamJnJwcPvjgA44cOcKtt97KNddcw1VXXQVE5q7OnDmT6dOnk5mZKXqf8L8FBpgwKkasspVoJRq36qY8XI5X9VKv1ePX/TQRSSo2WU10vrIzmX0yOfD5Aba8tYWd7+6k6+iudBrRCavTSgUV1IXrcKkuEpVEdINOQA/QoDUQa4jFJokgVYCLLrqIgQMHYrPZTgoSZVn+wdN8foiKigoefvhhvvjiC2praxk9ejQXXXQRkydPxul0Mn36dF577TU8Hg+PP/4406dPZ8KECQDcd999dOrUSRww4WeRnp7Oiy++yKjRo9i3YR97rHsY9944loxeQutYsViIIAKCc0rbtm2ZMWNG8/OGhgZeeuklXnrpJa677roTtv03ZrOZyZMn88ADD9CnTx/atGnDU089RUpKCv/85z/Zvn07t912G1arFavVCkTWNzYajdjtdgwGg+h9wv8cFEhImDFjVsxEyZHCZvFqPEeCR/BqXsyaGT9+GmkEGZyJTjqP7EzOsBy2v7OdlU+tZMvCLYyYOYLULqkECFCml1EbrqU8XE4rUyvCSpiGUAMu2YVbcWOQRd89n53JKsRxcXHMmjXrhJWAjEZj8zl106ZNREVFAZCRkcELL7xAKBRCkiRsNps4zwo/q+zsbJ7661PccOMN+Pb62GnbyeSPJ/PKla8QYxFTzwQREABQXX3msu5/6vSk4/P7Kyoq2Lp1K/PmzcNgMPDOO+/Qq1evH30x1rZtWxYvXnzStu8KLNq2bcuSJUtErxN+9sAAwCyZMUqREQOH4iAxnEhJqIRqrRqLZqGBBoIEQQaTzUSP63vQZkAb1sxbw6sTXiWrXxZ9xvchPisezaYRkALUBmtJUVKIN8aj6RqNWiMeg4coOUpUOxZOO1mWvzcA+faqbceDAEE4nefa/v37c9899zHjkRlEJ0SzyrCK2RtnM7XvVKJMUaKRBBEQnAuqq6tZuXIlK1aswOfzccMNN/Db3/5WJJUJv54LKEkmSoqsSGSVrTgVJ+WhyDSiarWaRr2RJpoIEkSTNFwtXIx4ZASdrujEtkXbeG/6e6R2SSXnshxadW5Fg9zAQfUgFVoFSUoSLsVFkCAO2YFTdmKTbciSLBpeEITzgtls5qabbqKwsJBnX3oW07Um/mn+JxmxGYzrNE40kCACgnPB9u3bmTx5Mq1ataJnz54UFRWdsORcVlYWI0eOFL1COOcpkoING2ZDZCqRS3NRE6qhVC2lSq2iSW+iiSYCBJAVmfTu6aRckMLX279mx7s7WHzPYjL7ZdJnXB88rT1UUdWcX5CkJBE2hGmSm7DLdlyKC5NkEknHgiCcF2JjY5k+fTqFhYWs/mQ1FeYKHlQeJNudTe+WvUUDCSIgONs5nU4uuugijEYj1dXVJ01zEsPNwq+JJEkoukKUHIVNthEtR+PSXFSEKjgSPkKdVkdQD9JIIyFCmGwmMvtkkt4tnaO7j7L0waU88/4zDLxzID3H9kQ363h1LzXhGlxhF1mmLEKGEA1aAx7Fg1NxiqBAEITzQlJSEm+//Ta9e/emaFMRpc5SRrw1gs0TNtPaJZKMBREQnNW6du3Km2++KY66cF4FBQASEnbZjlWyYpftxBniKA4V41W9kfwCvQE/fsJSGIPZQKvOrbhtyW1sW7KN9S+sZ+fSnQy8fSBp3dKwuWyUyWXUBmtpEW5BojGRgB6gTqvDrbixylYkpOb3DgQCNDY2EgqFkGWZqKgorFYrkiSh6zrBYJD6+npUVcVqtWK325FlGV3XCYfD1NXVEQ6HMZvNREdHn1Dr49saGxtpbGwEIomvxxNPBUEQTse51eVyMW/ePMbdNI6qvCqqe1Zz6we38tKIl0h2JIsbJIIICARBODu/wAySAYfuiFQ9VqJIUBMoC5dRFiqjQW+gQW8gQIAwkcCg+7XdyeqbxY53d7DmH2uITowm9/Jc2gxsAw44pB2iMlBJkiEJj+IhoAeIVqKJlqOxYEGSJA4ePEhhYSG6rqNpGmazmb59+xIdHY3f72fLli14vd7mYn9du3alZcuWaJrGzp07OXToEEajkaamJrp160ZmZuZJX7Q1NTWsXLmyOciw2WxcfPHFmM1mceAFQThtevXqxZT7pjB9xnRUq8pG00ae3PAkDw54kFhrrGggQQQEp6JpGk888QRVVVUnbQsGg4wfP16sGy0IZyAwMEkmDLoBi2TBITtwyS7K1XK8YS/1+r9rGGiSRmyrWAbeMZA2A9uQ/2E+a+evJf/jfHpe35P0HulUK9U0hBuoUqtIVBIJGoP4ZB/RcjRO2Ul8fDwejweHw4HP52PVqlWUlJTgcDjwer2UlJTQt29f3G4327ZtY8+ePSQkJBAKhdi9eze9e/cmJSWFgoICtm7dSnJycvNSk8ft2LGDUCjEpZdeiqqqLF26lP3795OTkyMOuCAIp43FYmHMmDHs3buXp//5NEarkTcMb9Aurh23dL1FNJAgAoJTKSgoICYmhvvvv/+kbY2Njfz5z38WAYEgnCGyJGPEiFNxYpftxGqxxClxlIZK8apezLoZH77mxOOUjikktEmg05WdWPfMOl6++WU6XtqRi/94Ma4WLsooozpcjUfzkG5IJ2CIFDXzuDzY5EgRK0VRMJvNaJoGQGVlJS6Xi4SEBIxGI6mpqWzevBm/3095eTkGg4G0tDRMJhNt27Zl165d1NTUnBAQaJpGYWEhvXv3bl4xLCMjgz179oiAQBCE0y42NpZHHnmEDaCuIgAAIABJREFUnTt3smnNJupj6pn66VQ6JXaiR4seooGEc+Oa4Ey+md/vP+nO3nFRUVEEg0FxRAThDJIkKRIYyEZciouWppa0t7Qnx5JDipKCR/YQQwwmTJHXmY0kZicy+m+jmfDGBCq/rmT+1fPZ8NIG6ivq8YV9HNWOsi24jYO+gxRXFbOnYg+lgVKCapCvv/4an89HcnIyuq7j8/mwWCwoioIkSRiNRnRdR1VV6urqMJlMmEwmABRFwWg0EggETvgbgsEgwWDwhDXpHQ4HtbW14gALgnBGxMTEsGzZMrJd2SgbFXxVPoa+MZS95XvRdV00kHDWEzkEgiA0BwfHi5tFKVHEKDGUh8spC5dRqVbSoDfQRBMhQujopHZOZdyL48hfkc+2Jdv4atlXXHjlhbQd1BZfjY/Ptq7hX58dxKbb6HlRLzp2vAB/lZ/unbsT7YxuvsgPBoPNX5jH/ytJEgaDAU3T0DStOclY1/WTkoplWUaSJMLhcPO/hcNhjEajOKiCIJzRoGDu3LncctstlGwqoWFQA3d+eCfPXvYsGa4MkWQsiIBAEIRzhyzJWCQLRsmIXbHjNripCFdQFi6jQq1oLm4WIoQ12krXa7qS1T+LgrUF7Hx/J3nL8qj31lOSnwL6cMDAmg8W0yrjDW6deiv2NDuNeiNRUhTR0dF4vV5CoRCKouDz+ZpHAuLi4mhqaqKhoYHo6GiampoIBAInjTIajUZiYmIoKSkhLS0NgLKyMhITE8XBFAThjOrduzf33HUPDzz8APWWejYaNjJ742weGfQIHptHNJBw9n73iyYQBOFUFEnBIlmIM8SRYc7gAssFdDB3IEVJIVaKxYEDAwYkSSImOYauo7tyzVPXoJhMlOxKBX0pcC9wOXAVhw8m8tHylRTVFHHYd5hj4WNEu6Opq6tjz549eL1etm3bRlJSElarldjYWMxmMzt27ODYsWN8/PHHxMXFERsbWbnj3Xff5dChQ0iSRKdOndi0aROFhYXk5+dz6NAhunbtKg6iIAhnlMVi4cYbb+SGMTcQWB2Ar+DlvJd57avXROMIZzXDmf6gNDQ0nHJbY2Nj81xhQRDODpIkISFhkSyYJTPRSjRxhjjKwmUUh4qp1Wpp1Bvx4QMFfDU+6kqrgUeB43foywEr0J0dG17h0ZmPMuyqYQzsPZAoVxQdenUgb2MeX3zxBR06dODCCy9EURRkWWbw4MGsWbOG/Px80tLSGDhwIIqiAFBbW9ucd9S+fXv8fj+rV69GURSGDBlCfHy8OICCIJxxVquVxx57jK+++or1a9ZjdBu5f9X95MTnMDB9ILIk7sUK53lAkJ2dzZIlS5g8efJJ20KhEBMmTBBHRBDO4uDAIlkwSSbsSqS42bHwMbxhL1VqFfV6PXpAJxwMA98eGr/om598zI636HB5BwxdDOwM7KSloSWeFA+DxwzGpbiwylYUlOb3S0hI4Jprrjnl7zNu3LgTnnfu3JnOnTuLAyUIwlkRFCxYsIBRo0ax5bMtSJdJjFkyhsVXL6Z/an+RTyCc3wGBLMtMmzZNtLognMNkScYm2ZpHDOIN8XhDXo6FjyGlSySlJVO653WgB/+elagBLxJoDFH+r3JaXdiKWnMtvrAPr+olyZBEsiE5UtRMicaKVXxhCoJwTouPj+exxx5j4u0T2bdqH7VX1nL/p/czb9g8chNzRQMJ529A8IubNAnmzj31tmeegVtvFT1CEH4gRVKwYsVisBCrxJKoJhIfH8/AywawZ+2L+BtV4K5vTjPPIhueI6VDS1Y+tZKvt37N5Q9fDtHg1b1UhaooC5eRYczAZXDhVJzEKDEYpMgpKj8/n7y8PGpra3G5XPTt25eWLVui6zoHDx5k27ZtlJeXExMTQ/fu3cnIyEBRFEpKSvjwww+bpyra7XYGDx5Menr6SX+PqqqsX7+evXv3Nlc6Tk5OFgdaEISfrGfPntxz9z3cfe/d+Fb62HzJZmZtmMXffvs34qPEtEZBBAS/jLIyccQF4Wf07RyDBCkBp+Lkrgl3YQqYeHXOG9TWvIGma1iio+h368UMuG0Ah7cf5v2H3mf2oNkMe2AY7Qa3w2w3c4xj1ARraBluSbIxmUZDI27FjVW24vV66dy5M3FxcRw8eJD33nuPCRMmYDKZqKuro127dlxyySUUFxfz+eefExMTQ3x8PKqq4nQ6ufzyy7Hb7ZEqzd+Rq7RlyxYOHTrEpZdeSmlpKQsWLGDChAkn1DcQBEH4URdZBgPXXXcdu3fvZvbs2diT7SzUFtIurh1T+07FIIvFHgUREJx5hYXiiAvCaQwOrJIVs2Rm2p3TmHDzBJZ/vJzKYCVJvZPQnTohQqR2SeV3C37H5jc2s+GFDexfs59uo7uR3iMdv+KnUCukPFhOC7UFDYYG3AY3WR2yyNuaR0JCArm5uWzdupXq6mqSk5NPyBuwWCzs37+fhoaG5qRiv9/P4cOHcTgcxMXFYbFYTvrddV1n69atDBgwgFatWtGqVSv279/Pvn376NFDVBoVBOF/CwoeeOABiouLWfTxIqwOK39Z/xdaRLdgbM5YFFkRjST84s6fVHdNg+3bI49feQV0/cQfMV1IEH6ek4okE6VEkWpPZfyV45kwcgJd4rqQIqfgxIkJExaHhf6/78+Vj1+J1Wnl/YffZ8VjK6gurkZHp0avYV94H3mBPAr8BcyZP4ebb76ZhW8vpLi4GJPJ1Lz86Lcv6mtqagiFQjgcjuYAITk5mUAgwOHDh/n0008pLS096XcOBALU1dXh8fw7GTo5OZnq6mpxQAVB+J85HA7mzJnDb3r9Bv8nfsLeMHd/cjdL9y8VlYyFsyNwPW/+Up/v34/dbnHkBeE0UyQFm2zDarLiMXpIDiVTEi7haPgoVVoVPtlHcodkhrYeSvGuYpY+uJR9n+5j6J+G0nZwW3RFZ++hvbyx4A02vrqR7gO68+xzz9Lgb2DYkGEn3ekPBAKsX7+ejIwMXC4XAB6Ph379+iHLMuFwmE2bNrFv3z7i4+NPqGSsqmrkhGj49ylRURQCgYA4kIIg/Czi4uJ4ZOYjlNxcwt4P91J7XS0Pr3mYltEt6ZbSTTSQ8Is6f0YIvh0QTJoEN98Mzz0HX30VGT34kXRdJy8vj1GjRpGZmcnAgQPZsGED2n/sa9u2bdx444106NCB3NxcpkyZQpnIZRDOE5IkRSofyxaSTEl0tHakq6UrHYwdSJFScEpObDYbrXu05s5ld5IzPId3/vQOSx9cyoKJb/KPro+S99cVWL01bFiykkNFh6gKVBGdGk1AC6DpGrqu09DQwJIlS3C73XTp0qX5wl6WZUwmEwaDAbPZTHx8PA0NDc0BwHEWiwVFUU6ok1JXV4fNZhMH8Rd07Ngxbr31VrKysoiJifne106cOBGHw0HLli1p2bIlw4YNEw0onHVyc3OZOmUqrjoXrtXR7Dmaz5/XPcohbyGBhgYCDQ2EfD70n3BdIgj/i/NnhODbBdH+9a/Iz4svRp7/6U/wwAPwI778/X4/c+fOpUOHDjz55JOsXr2aP//5zzzzzDOkpqae8Nqrr76aGTNm4PP5mDFjBosWLeKOO+4QvU8474IDixQJDFwGF0nhJI6GjnJMPRYZMTD5uHjSxWT0zOD1W14jtqSGfwCXAP8CHlN11lXX8+nqT+lyZRcuaHEB8aZ4/FV+Pv/sc9xuN7169ULXdTRNQ5Kk5ot/q9WKz+fj0KFDOJ1ODAYDqqpSXFxMfHw8VquV7Oxs9u/fj9vtprGxkcOHD4uLyl+YxWJh2LBhXHDBBTzyyCP/9fVjx47l8ccfB2guYCcIZxNZlrniiivYl5fH3Mcfx24z84H2AfKRenKLskAFS1QUV40dS9aFF4oGE0RAcFoDgv/0+OPQqtWPyiPw+XwUFBRw5513kp6ezpgxY/jwww/Jz88/ISDo0qULXbp0ASKjCh07dqSkpET0POH8/UKUZGyKDYtswW1wkxJO4Wj4KEdDR6kyVOF0O1GMCg8AYwAJWAXkAhXAlvU7efG5Fxk6big5LXM4vPUwBwsPkp2ezfLly5s/d2lpaRQVFbFy5UqamprQNA2Px8OIESNQFAW/388LL7xAWloasbGxVFVVUVhYSHV1Naqq0r59e0pLS9mzZw8xMTF06dIFq9V6yr+ptLSUXbt2EQqFSE9PJysr64QpScJPExMTw+WXX87q1auR5f8+oL1lyxZmzJhBWloa119/PXa7XTSicNYxm82MGjiQRx5/nFs+D7DPDMvafUZe/mdc/TksBxLdbhEQCOdmQHB8zu5ZKycHVBXC4cj0ofJyWLsWfve7yPaHHoKbbgKz+QftrrKyEl3Xm5MQFUXB7XZTWVn5nf+foqIitmzZwu23337SNl3X8fv9hMNhABobG0XvFH71gYFVtpJsSsZj9NDK0IrDocMcKDxAoD7IiG+CAYBhwBCgBbAFifzV+Qy+ZzD5aj6OCx0M6jSIRGMi0Uo0ZsmMzWZDkiQcDgcZGRmkpaUBkSl8Xq+XpKQkFEUhMzPzhO1GoxGz2YwkSaxfvx6v10unTp3YvXs3S5cuZfTo0SddmFZUVPDRRx/Rpk0bHA4HW7duxWAwkJ2dLQ7yGdSnTx/69OlDVFQUCxYs4L333uPjjz8+KTBTVRW/34+maWiaJvJEhF+EEVCB2xrBuA7GxkFef0iohZyvINDUJBpJODcDgnPjCkQGkynyExMDWVmwaRO88AJ4vZFRhB8YEAAnVVL9vpUCqqurmTNnDjk5OfTp0+ek7YFAgHvvvZdly5YBEA6HuVDcHRB+5U6oY2BKwGV0UZFawavWV9hGPYO/CQocQAg4Atg9dsoKysj/KJ/c4blUW6qpp54GuYFMUyYeo6d5ukhaWlrzxf7xqUSlpaW0b98eSZKw2WzYbDYcDgcGgwGrNVIh2efzkZeXx9ixY2nRogWpqanMnTuXo0eP0qJFixM+84cOHcLlctG7d+/mz/KePXtEQPADTJ06lddee+2U2xYtWtTcpj/E9ddf3/x4wIABtGnThtWrVzNkyJATXpeXl8c999zDwYMH0XWduro65s2bJw6G8IswAdnV8PQK+M2NMHsAtKiB7qJpBBEQnCbbtkF8PMTFRS76/X7Iz4ePP45sdzh+VA6B2+1G13WqqqpISUlBVVVqampOOVJSVlbGrFmzCIVC3HnnnaccxjabzcyePZtZs2YBcOTIEe6++27RQ4XzKjgwS2Z+0/s3dGx3ATOKS0kAWn8TDGwDlthMRMXYUMMqHzzyATEtYkhul4xu1TmgHaDSX0m6mk5LU0s8igeLbEFGRpIkNE2jpqYGu92OoihomobZbGbPnj3s378fg8FAjx49aNGiBRUVFUiSREJCAgA2mw23201FRcVJAcF/LlfqcrnYu3evOKA/wJQpU74znyouLu4n7zcqKorY2FgqKipO2pabm8vy5cvRdR1VVZkzZ444EMIvrvtReOYDuHMofNkXxtpDolGEczMgOJPrdf+k6UmPPw5Llnz39ocfhu+YH3wqNpuNzMxMli1bhtPpZP369dTX19OhQwfWrVvHsWPHGD16NEeOHGHGjBmEQiGmTZvWnNz4n6uXSJKE+VujE9Yf8bsIwq+JIiuktW7NWw4H4xsa6KjrBIAtRoWUMb254ne9KT1QyqK7F/Hm7W9ywZAL6DyyMy1yWlBFFfWheo4Ej9D4ZSNR/ii6depG69TW5OfnU15ezkUXXYSiKEiSRO/evTGZTKiqyt69e9mwYQOXX345gUAAWZZPmG5iNpsJhU78ktY0jXA43Fz3ACJLlx6f+if893P5953Pw+EwVVVVlJeXo6oqJSUlWCwWYmJiUBSFp59+mquuuoq4uDg++eQTOnbsiMFgYNWqVdTW1jbnb53QvxSl+fyqqqrI9RDOGmPyocgJj/aBj41f8Ds1iEkxiYYRzq2A4KzW2Pj9wcC4cZFlSH8Es9nMxIkTmTVrFgsXLiQuLo6pU6eSmprKa6+9xs6dOxk9ejQrV65kyZIl2O12tm3bBkSGs59++mnR+wThFIqKiti4cSNPzZmDOzaWD5Yvx22z8s/rRhJMDlJpr6RldktqS2tZ+8xaSveV8sqEV2h/cXsGTBxAxdcVfPzkp1QVeJFUiViXh34D+tK1cxeuGH5F851nWZZxf6smSW5uLvv376eurg6LxYKmaQSDQUymyBey3+9vfnzc8aDh2/PQQ6HQCfUMhJ/O6/Xyhz/8gU2bNlFVVcWgQYMYMmQIM2bMwOVy8fe//50ePXrgdrt5/fXXKfymGn1KSgovvPCCmLYlnPUOEsklOK7Hdujigo8sX/DgZw/y+ODHT5qeLAgiIPipFAVWrIC8PPjyS9iyBVJToV8/GDw48t8fkTtw/EKgW7duLFq06KRtDz30UPPj8ePHM378eNHTBOEH0HWdd999l6amJlq3bo0kSdxwww2RjX6QC2WMYSP+kJ/01HTWG9fT5eouRCdE8/6D7/PlW1+iqRKB+n7AG0AileV/50DBs8h3SIy9eWzz+0DkDvHxJOH6+vrmO8ZFRUVs3bqVhx56iIyMDDp37kxFRQUJCQmsWrWKjRs3Issysixz5MgRYmNj6dWrF16vl2effZby8nKKi4ux2WwMGTKEtm3bnvS3qqrKqlWr2LNnD2azmUsuuYTMzEzx5f8tycnJpzzHHnfgwIHmxwsWLBANJpwzYlq0IMFuZ/Qp6g3om0Ko8SH+suEvtHG34cbcG1FksYyuIAKC/53FAkOHRn4EQTirAwK3201aWhozZsz4/tei0yG9Ay2dLWnZtyWtP2zNOw+8y8YXTcDzRNYkOgKkAEN44+W36HV5L3Jb59I2tS16UGfD+g3ExsaiqioHDhygbdu2uFwujEYjY8eOpby8HEVRmDt3LpdddhkJCQnNuQQpKSm0adOG5cuXU1VVxWeffYbf7ycUCvGHP/yBdu3aIUnSd05J2bBhAxUVFYwZM4aamhreffddbrzxRhITE0VHEIRfufh27di1ZQt1/1GoVNM0vtyxgz8ve4a9jkJmrp1JiiOFQa0HYZDFyKMgAgJBEM4DsixzzTXXcOmll37vql3HAwJVUgnZQhzjGAeCB2iq8AGDgPhvXhVFZL2OLIKBd1i0chE119YQ9oVpbWpNfHI8oaYQRqORPn364HK5eO+995or3R48eBCv10thYSFdu3ZtvsDv1KkTDsf/Z+/O42M69weOf2bJvkdkEVvIitjXCBFF7WtVa2tQl2pRSvXiWqqqC0op177VUq59q1K0VO1LSOxJJEREIvtMMsnk/P5IDWm01f6qkfi+X6+8XifnPDNz5jnnOXO+59nsyMrKwtLSkq5du5Kenk5CQgLly5fnzp07ZGVlUbFiRSpUqFBk3/Pz8zl58iTt2rXDw8MDDw8Pzp8/z5UrVyQgEOIFUdbfn7JPqD30atYMB19fhs0axi3tLaYenko5u3LUcKshmSZKR0Dw4YcfcufOHVM1b506dYiLi8PGxoahQ4fSqFEjOSJCvOAsLS2xtLR86vSKouCheFBBqcAmm02cQ8+jVrnOQGPgCgDmduZQAc7mnyXaEE1d77qUtyiPlaqgk+mJEyeYOHEinp6e7N+/H19fX/Ly8qhSpQqenp6mz/T39ycvL4/Dhw/j5uZG5cqV0Wg0pKWl4ezsjK2tLRkZGXz//fc0bdoUPz+/Qvuck5NDZmZmoT4MHh4e/+jgDEKI5/TGTKulXbt2bC23lR7TenDc4jijd49mb9heaToknhn1P/lhKSkpvPXWW0DBBECzZs0iNDSUkSNH8s033/DTTz/JERFC/CkqlQpztTkeNh6E9RyAVvsdcB3IA/IBPfAFKrWW/V/sZ3n/5Vw9eZW4rDj26fZxNPMoCbkJpKansmnTJlJTU/npp5/Ysnkzt27d4syZM7Rq1apIR+Hc3FxiYmIoX768abIrCwsL6tatS7Vq1WjcuDG1atUiMjKS9PR0DAYD+b+0F1YUBUVRyMvLIzs7+w8nxzIajeTk5JiaJP1R7YkQomTTaDTUq1uPtf9eS/nE8uyP2U+vVb3IyZOJ9MQzCkSL64Mf/iAqioKlpSXTpk3j/fffJzAwEHt7ezkyQog/HRjUq1eXV1+twebNA8nJ6UVBDcH3OHseof2knrj7uXNq4ym2jN+Cg7sDNTvUJKF+AueUc3w3ZR9x3x4ikIJ5D4a99hpNOnbkvffeKzT3wEORkZGYmZlhZmbG/v37SUtLA8DW1pbGjRvj6uqKTqfjxx9/5MGDB5ibm9OwYUN8fHywtLTEYDCwceNGypYti0ql4sGDB1SvXr3I5+Tk5HDy5EliYmIAcHR0JCgoqFDtghCidGpcrzFzs+Yy+sBoNsduxnunN+Naj8PJ1kkyR5TsgMDDw4N69eqRl5fH6NGjMTMzw83NDRsbG/z8/EhOTpaAQAjxl1SsWJFp06bRrNl+vv12LxkZGdSqXYfqLaZi09yaB/kP8KjmQeL1RG7+dJNL317izP/OYMjIxvn0LZYAdYBIYKHRyMnDh7nZpQsNGjQAMM2AnJeXx+nTp6lVqxbu7u44OjpiaWlJYmIi33//PRcvXiQwMJDt27dTq1YtunXrRkJCAps2beKNN97Aw8ODjIwMrK2t6datG1evXmXDhg2EhoYW+U4xMTHExMTw8ssvY2FhwbFjx7h06RIhISFywIUo5TQaDZ2adwIL6LutL4suLcLZzJkhIUNwsHOQDBIlNyBwc3Pj888/l5wXQjwTVapUYciQf9G9ezfy8vJwcHTA3NKcrPwsonKiuKK6gjZAi5ufGzU71eTs1rPs+3Qf84DmgIqCHgeVgVtpaSxesoTkBw/o1KmTaVz7W7dukZ6eTvXq1bGysjJNdJWVlcWFCxe4du0a165dQ6VS0apVK+zt7bG3tycuLo5bt25hYWGBo6MjAQEBfPfdd6jVaqpXr25qUvSQoijcu3cPT09PXF0LOkp7eXlx7tw5OdBCvEBBQefGndnjtIc2a9ow49gMLHIseLvL2zLniSi5AUF0dDQfffRRodkpjUYjPj4+cjSEEH8LlUpluoF+yFHtSB1NHfzy/IjIieBy7mW0blocyzmi1qhp9kswABAGKMA6YIFaRc9Xe1Kh/KPRgqpWrcqYMWPIyclBr9ej0+lYsWIFRqOR0NBQWrVqRVJSEt9++y329vYYDAa0Wi0vv/wyNjY2pKSkFDz569QJrVaLWq1mzZo1ZGRkkJOTU2iehKysrELNg6ysrMjOzgYK+jEYjUbT6EcP51QQQpQuarWa5gHNWd5zOYN2DGLU3lE4GZ3o3b23BAWiZAYEaWlptGjRgn79+pnWZWRkMGvWLJydneWICCGeaaBgY2ZDQ7OG+Ob6ctVwlav6qyjGfHYDrz0WFBiAk0B0YhTfXfqOl51fxsPKA61ay40bNzh9+gy7d+/CYDDQsuVLBAcHU7FiRU6dOsXFixfJyMjg7NmzWFpaYm5ujoeHBwaDgRs3bpCUlMSlS5fYvHkz5cqVo0GDBuTl5ZGcnMzy5cuxtLTEzMwMc3NzMjMzcXR0NH2H/Px81Go16enpHDx4kIyMDKCg5qBx48ZycyBEKdapWifGPBjD3JNzCdsURmpaKmG9wqSptSh5AYEQQjwPHM0c8dP7kROeQ8VyFfgw7RqWFDQb0gNbgK025qTdT2Pqv6eyI3gHXTt2xdPeky+nf8nevXdRlNaAORs3rqVevcXMnTuXSpUqcfPmTYKCgrh8+TKhoaGYm5uzfPlyrK2tCQoKonbt2sTHx1OjRg0iIyOJjY0lKSkJHx8fcnJyCAkJMdWinjp1qtBwpOnp6djY2PDDDz+gUqno1KkTOp2O9evXU65cOapUqSIHV4hSys7CjrcavMW9rHssNyxn8v7J6DP1DB04FAcH6VMgSkhAUL9+fVatWgXA2bNni2zX6/UycoYQ4h+hKApXIq9w5eIV5s9bwLKlS3n7m29wVBSMQIqFlgajWmHIMnBxz0US0xMZP3w8qmwN9xPKoyj/AzyAu0Brzpz5gEmTpjJoUBienp64u7tTsWJFDh06xNGjR0lMTKRjx454eHgQHh5OQkICS5cuxcbGhrS0NKysrLh58yYHDhxg48aN2NjY0LZtW4KCgoiMjOTSpUtERETwww8/ULVqVTIyMujbty+Ojo44OjpStWpVbt68SZUqVYiOjubYsWMYDAaqVatm6vsghCj5POw8mBo6lUv3L/Fz9s/M+HYGGkXDyOEjf3NmdCGeq4CgT58+9OnTR3JdCFHs8vLy2LFjB4GBgdSrV4+QkBCuT5rE2g1rybDIwG+AHwYzA/du3OP8tvPUbF+Txn0as+6ddRjzhgMPn8TnATeA+ly69A2ZmZnUrFkTg8GAh4cHM2fO5MyZM7i4uLBs2TLUajX+/v40bNiQ1atXs2XLFszMzBg+fDg7d+6kXbt2pKSkYGVlxf3794mPj6devXrMmjULvV5Ply5dUKlUrFmzhjfeeIPMzEygYLjT1NRUEhIS2LdvH02aNMHBwYEffvjB1Fk5KyurYN4Gc3NpWiRECaVSqfCw82D7a9tpsKQBt6rd4v2v3sfSwpIh/xoiQYF4/gMCIYR4XmRlZbF161bq1KnDsmXLTOud7J1wwonENYncMtwiVUnFzMqMA3MP0HNmTyxsLQC3x97J95e/O+Tlfs2BAwfYu3cvzs7ONAsOxs7OjkGDBrFy5Up2797NG2+8gbOzM3Fxcbi5udGrVy+ys7PZsGEDu3btQq1W065dOwIDAzl37hyTJ0+mUqVKXLp0ibp163L37l3q1KlDQkICQ4YMwdPTE2trazIyMmjcuDG3bt2ifPny1KpVi8TERGxtbfnmm28AmDRpEtbW1jRv3pwOHTrIjYMQJVhZm7Is71zQyTgmNIYRk0eQkZ7B0KFDCw3cIoQEBEII8RvMzMzo06cPqamp3L1794lpylAGZ8WKHP+rAAAgAElEQVQZj5c9MLobcXR3xLWqG7fPbwVe4tFk7wowm5yUFHI2baI+kAx8vGoVWl9fPv30U+Lj41mzZg3t27cnISGBNWvW4ObmRnp6OlevXsXR0ZHmzZtz7tw5Vq5cyfbt200jDHXt2hVzc3PS0tKIjIwkJSWFO3fuYGVlRb9+/XB1dWXatGlUqFCBjIwMnJ2duXv3LuvXryc8PJyff/4ZgKFDh3L9+nWOHTtG1apVCQwMlBNBiBIsqGIQ45qOY1LuJJLaJ/HJvE/Qp6bSt3NnrCwsiqR38PDA3tNTMk5IQCCEEADW1taMHTsWo9H4h2mNihG9Sk+UEsXtNre5/P0m9KlWwBDACliNhoX0BqZRMD/yUSDRaGR3VBTvvfceiYmJxMXF8dprr+Hh4UFqaiobN25EURQ0Gg1lypTBzs6O9PR08vPzefDgATdu3MDT05OdO3cSGxvLnTt38PLyonnz5lSoUIEHDx7w2WefoSgKly5dwsnJCVtbW4KCgjhx4gR3797F19eXCxcuAAW1IoGBgURERHDhwgUJCIQo4Sy1lvSp2YeryVeZr59PXm4OSxfNZ8O6daieMAxxTT8/lq1YIUGBkIBACCGgoB2uxROeoP0WO+xwUVyoElYFdbKa+RPnQf7sX7aqMZLPuzxqTJQO3Ac0OTmcO3eOBw9SAIVDhw4VXHy1WvLy8nByckKj0dChQweioqJMAy507NiRpKQkNBoNTZo0ISsri9jYWPLy8jh37hzZ2dlotVpu3bqFv78/BoOBqKgounTpwoEDB4iOjmbw4MHodDrTnAxnzpyhS5cuaLXaQiMXCSFKLjsLO6a/NJ2f4n7iXN4ZMhNV9Dp4m96A5rF0V4EpQNrduxIQCAkIhBDir1Kr1LiauzJ73GyGDx3Omi1ruKu/y53bd/j2029xfyxtF+AsEAtce5AGtAPaAw7AJ+TlRaDRaNDpdJibmxMTE4O3tzeVK1dGr9djYWGBSqVCpVKZ5i7w9vYmJCQEf39/Tp48SVZWFh06dKBy5cq4uLhw4cIFsrOzMTc3JzY2Fnd3d9NcCADJycmmDsYajUYOqBClhLWZNVt7baXDug5cCLyA7W2ofQ0e7yUkJV787u+bZIEQQvw5ZmozfBx9GB82nvfffJ/uXbujUanYR0FvgoesgIIxgGoDOcA14H/ATQAUo5EyOTnYZmTw3e7dfP3116SkpGBvb09ycjLlypXD3d2dAwcOoFKpSEpKIjk5mbt37+Ll5YWlpSVZWVmcOHGCjIwMLCwssLe3p1KlSqSkpHDmzBnS09MpW7ZswecpCpmZmWRnZ+Pm5iYHUohSxNPek9kvzaSyqwf/awFXykqeCAkIhBDimVKpVFhprPC28Ob1+q/T9dVuTAfWAaeAlcD3QBIA5QAXLFlCEDtoSjYhgBNgD7j+spz74AGpqanY2dlRuXJlwsLCKFeuHHq9Hn9/fywtLfHy8qJNmzbUqlWL+/fvk5GRgV6vR6fTUaZMGezt7XFwcCA3N5fc3Fw6deqEu3tB3UVKSgpHjhzBYDDQsGFDOYhClDL1y9SiTV5jrtjD4M6QaC15Iv7hgMDJyekf+3teREVF8corr2Bra0twcDCRkZFPTHf69Glq166No6Mjb775JklJSXLmCVFaLqIqNbZaW/63YTM1evXiDaARMOCXgCAPgJ2o+QZ79FRGwRGoDiwAdBT0N1ABtRWF9PR0HB0dGTNmDO3bt0ej0XD//n38/PyoXLky9+/fR1EUmjRpQlJSEj///DNRUVG0bNkSo9GI0WgkJSUFW1tbrl69irW1NT4+PgCcOHGCS5cu8corr1ChQgU5eEKUMlo02N20oWI4xDrAfRvJE/G05474S7Kzs5k5cyaVKlXi9OnT7Ny5k7Fjx7J06VI8PDwKBQ1Dhgxh6NChNG3alFmzZjF79mw+/vhjyUQhShGj0cjpY8doCXwANAE2A4soGHUoDzhNQafjchQ0InIHXIBbQDOgH3BSqyU2NpZPPvmE1NRUwsPDGTlyJE2bNiU6OpqLFy/y+eefY2VlRbVq1ejfvz+enp7Ex8cTGxuLWq3G09OTL774gnPnzrFs2TJycnIA2LNnDy4uLnKwhCilVGo1Wo0ZNQ9D0yPwkx5++mVbHKBRq9HI/CNCAoK/j16vJzIyklmzZuHv70/58uU5duwYFy5cKBQQHD16FE9PT4YOHQpA//79GTt2LNOmTZNOfUKUImvXroW4OCYBTSl44n8d8Aa+BVoD9X5ZFwIcp6DTsQ6wADoD3wHNQoLx9CxPTEwMKSkplC9fnrJly3LhwgXq169PZmYmrVu35uDBg3Ts2JHo6Gji4uI4deoUAQEBZGRkULZsWdq2bUvNmjWJj4/HaDQye/ZsrKys5EAJUYqZW1vzUrt2ZOp0ROfmEv2r7YP8/XGqWFEySkhA8HdJTk7GaDSaOuZptVrKli3L/fv3C6WLj4+nSpUqpv8rVqxIeno6qamplClTxrReURQMBgN5eQUNDHQ6HUajEZ1OZ1onhHh+zZ07FxcK5izW/bKuK5AGnAFqUNBXYCMQDIQCl38JAvpQMG/BLjtLerTxoWPrjmhTtWiMGuxt7LGzs8PGxgYzMzN8fHyoUKECvr6+WFtbk5qaSmZmJp06dcLGxgYLCwscHR1N1yc3Nzd0Op3pOiOKysnJISsrC7VautU9S0ajEYPBQG5uLjqdTs7HZ6RRq1bUatgQ5QlzrJjb2JBvbk5WVpZk1DOg1+slIHjR5ObmolKpCj3lV6lUpiH9Hr8AarWPsvnhD86vb/JzcnIICwvjm2++KbTe2dlZMluIEuS3xu4Z99jy3l9tu/RwISObhe8tZCELn9mPla2trRykx67P2dnZDBw4kIEDB0qG/IO+/PJLyQRRKvXs2ZPc3FzMzc0lIHgRlC1b1jSbqIeHB0ajkbS0NBwdHYuki4iIMP2fmJiIhYVFodoBAAsLC1atWsWyZcsAiI2NZdSoUaxfv77EnFRGo5EPP/yQJk2a0LZt2xJ1PDMyMmjVqhU//PCDacz2khKYDhkyhPfee4/q1auXqDy/ffs27777LuvWrStRF87s7GxCQkI4cOAAdnZ2JWKfFUVBr9cXue686MzMzBg7diyjRo0q9OBGyvCzOw83bdpEXFwc7777bqluNvtwQsDExESsrUvvUD9Go5E5c+ZQoUIFevbsiUqlKtXncEREBLNmzWLRokWYPaEvRn5+PoqilMhjLgHBX2RjY0OVKlXYu3cvTk5OHD9+nNTUVKpVq8aJEye4f/8+HTt2pGHDhixZsoQDBw7g6+vL9u3badq0aZEfn4ezpj6cOdXGxgatVou1tfWfmk21OOXl5WFmZoalpSU2NiVraAOj0YharcbGxqZEBQQGgwGtVouVlVWJy3MrKys0Gk2JOsehYEIvtVqNtbV1icpzqRkoSqVSFfsxLMll+K8EBBYWFpibm2NjY/NC9KMradeJv/LbaW5ujoWFBTY2NqU+ILCysjLdm5W0GgAJCJ4RCwsL/vWvfzF37ly2bt2Kra0t77zzDl5eXmzYsIHz58/TsWNHqlevzqhRo5g+fTq5ubl4eXkxbtw4yUAhhBBCCCEBQUmmVqsJDg4mODi4yLb//Oc/pmUzMzN69+5N7969/9T7Ozg48Prrr5eoJyhqtZqXXnqJiiVwBAMLCwuGDh1abM0G/iqNRkP37t1xdXUtcXleEs9xKBhAYOjQoSWqVkNIGX5eBAYGUrFixVL/JNnMzIzJkyc/sVlJaaJSqQgODsbBweGFOH9dXV3p3r17qazdUinSzV8IIYQQQogXloyxJoQQQgghhAQEQgghhBBCCAkIhBBCCCGEEBIQiGcvPz+fo0eP0rNnT4KDg3n55ZfZtWtXkQnLcnNzWbduHaGhoQQHB9O7d2/OnDlTrPuekpLC6NGjad68OSEhIUyZMoXs7Owi6Y4cOUL37t3x9PTk3XffLfY8z83NZffu3XTp0oXg4GC6devG4cOHMf5qNscDBw7Qu3dvWrZsSatWrRg3bhzJycnFuu9JSUm8/fbbpjz/7LPPyMnJKZQmOzubpUuX0r59e0JCQujQoQNLliwxzVJbHHJycli3bh3t2rUjODiYvn37cubMmSIT+EHBkIRRUVF07dqVatWqFfv5Ehsby8CBA2nWrBmhoaEsWbIEg8FQKE1qaiphYWEEBAQQFBREUFAQs2fPfmJ5EOKPTJw4kZCQENzc3IiNjS1V3+3BgweMGDHCdA2bPn16qSwnKSkpzJw5k9atW6NSqTh69GipPV8nT55Mx44dCQ0NpUOHDnz99ddFfk9Lg+vXrzN8+HBatmxJy5YtGTBgwG/+jpVkMspQMd4oLV68mEaNGvH6669z4sQJ5s+fj5+fHz4+PqZ0ERERfPHFF3z88ccEBASwfPlyFi5cyNKlS4tt39euXctPP/3E8uXLycvL49133yUwMJAePXoUSlexYkVGjx7N4sWLn4s8T0xMZPXq1XTp0oUOHTqwfft2Fi9ejK+vL+XKlTOlc3Z2ZtiwYVStWpW0tDTee+89duzYwYABA4pt3xcsWEB0dDRLliwhPT2dQYMGERgYSLt27R4VZq2WVq1a0bp1a+zt7Tl79iyzZ8+mXr161K1bt1j2+9q1a2zcuJGhQ4fSqFEjli9fzsqVK6latWqRSfxyc3P53//+h7W19XMxYsVnn32GVqtl1apVxMXFMXDgQGrUqEGTJk2KpJ02bZppMj4zM7NSNz61+Ge0atWK+vXrM2vWrFL33ZYtW0Z4eDiLFi1Cr9czbNgwAgMD6dy5c6n6nhYWFrRo0YJWrVpRp06dUn2+VqtWjZ49e1K2bFlOnjzJ4MGDad68eYkcafD3uLq6Mnz4cBwdHTEajcybN49NmzZRrVo1rKysSs33lBqCYqLT6YiOjqZNmzZ4enry8ssvY29vz5UrVwqlO336NFWqVKF169aUL1+e9u3bEx4eXqQm4Z9iNBrZt28fAwcOpHr16tSqVYvQ0FC+/vrrImkrVapEcHAwzs7Oz0We379/H71eT2hoKG5ubrRp04bc3Fzi4uIKpatbty7BwcF4eHjg5+eHp6cnCQkJxbbfRqORLVu20KdPH/z8/GjQoAEhISFs3bq1cHSv1VK5cmUqVaqEk5MT1tbWqNXqYhv2TlEUYmJisLe3p2nTpri7u9O6dWvu3r1LSkpKkfT79+/n9u3btG/fvthvqPPy8ti2bRs9evSgSpUqhISE0KBBAw4fPvybNzvDhw9nxYoVpKamlvohFcWz0aJFC2rUqFGqbjIeXsN27drFG2+8QUBAAHXr1qVFixZs3Lix1B1Da2tr6tevT+3atUv9+dqrVy9q1KiBm5sbjRo1QqfTkZWVVeq+p4ODA76+vri6uuLg4IBWq8Xc3LzUXeclICjGm1OVSkWZMmWAgrGonZycePDgQaF0iYmJlC9fvlCkmpeXR1JSUrEFMsnJyVSvXt20zsvLi8uXLz/3eZ6UlISlpSX29vYAWFpaYmFhQUZGxm++5vz580RERNC1a9di2++MjAySk5Px9fU1rfP19eXmzZtPTD9+/Hg8PDx49dVX6d+/f7E1v1EUhaSkJJycnEyzP9vb25OXl1ekqUBcXBxjx47l3XffNZWJ4pSSkkJaWlqhJ12+vr7cvn27UDozMzNeeeUVhg8fTp8+fTh48CBTpkwhLS1NLnJC/CIrK4vk5GQCAgJM66pWrcrVq1clc0oBRVFYtWoVgYGBhX6nSpM7d+5Qt25dKlasSHh4OGFhYaVuLhoJCIqJRqPh11NAKIqCWl34kKhUqkLp8vPzURSl2CbFUKlUqFSqQm3njEZjiZjQS61WoyhKofxUFOU3o/wbN24wd+5c+vbtW6gZV3Hs96/PA6PR+JvnwNixYzly5AhTpkxhzZo1RWqdiiPPf53fj+d5Xl4eI0eOpFevXqSnpxMdHU1mZibh4eHo9fpi2++H5e338tzGxoaOHTvSvn17WrVqxUcffUR8fDwxMTFykROFrFq1ioCAgCf+zZ8/v0j/lNKkJP9uiN9nMBj45ptvOHz4MGvWrCmVE3YBuLm5sXPnTvbt24erqytr164t0o9PAgLxl5QpUwa1Wk1iYqLp4picnFzk6aiHhwfR0dGm/xMSErCwsCi2ZjjW1ta4ublx9uzZQjfONWrUeO7z3MXFhZycHNPTW71eT05OjqnG4HHXr19n2rRp1KhRgz59+hTrD5eNjQ3u7u5cunTJtC4yMhI/P78npndycsLb25sePXrg5ORUbAGBSqXCxcWFBw8emG7s09LS0Gq1phqDhzfdfn5+REVF8cUXX7BlyxZu377N/Pnzi60mzNHRERcXF6Kiogrl+R+1jTU3N0etVpObmysXOVFIz549OXz48BP/wsLCSvWMtjY2Nri5uXHhwgXTuqtXrxaqMRAlj6IobN26lR07djBhwgQqV65car+rVqvF09OTevXq0aNHDy5dukRmZmbp+o5yShcPa2tr/P392bRpE3Z2duzbtw+9Xk/NmjXZtWsXcXFxvPXWWzRt2pT58+ezevVqGjduzIYNG2jUqFGxReFqtZru3bszdepUGjZsiMFgYP/+/Xz66ackJCSwfft2OnToQPny5dHr9SQkJJhuwGNiYnByciq2DqNubm7Y2dmxbds2XnnlFdauXYutrS1eXl5s2LABo9FInz59iIiIMI3o07NnT4xGI1lZWdjY2BTLfms0Gvr378/ixYsJDAwkKSmJw4cPs3r1am7evMl3331nClqOHz9OxYoVsba25tixY9y+fRtXV9diCwi8vb3JyMhg9+7dhISEsHHjRipXroyLiwurV6/GycmJjh07MmHCBNPTwwMHDjBr1ixmzpxZ7Hm+atUqKlWqxJUrVzh37hzTpk3j1KlTnDhxgnfeeYekpCTCw8Px8vJCo9Gwbt061Go1bm5ucpETRa751tbWv5vm3r17xMXFodPpTKMMubu7l/hO6mq1mtdee40vv/ySOnXqkJmZyffff8+CBQtK3XE2Go08ePDAdLMYHx/PnTt3KFu2bKkbbGDlypWsWLGCsWPH4uPjQ1paGjY2NqXue968eZP4+Hi8vb1JT09nz549uLi4lLomQyiiWOTn5yuXL19WevToobi6uirNmjVTTp06peTn5yuTJk1SOnbsqCiKohiNRuXHH39U6tatq7i7uyu9e/dWoqKiinXfDQaDMnPmTMXLy0vx9vZWvvrqK8VoNCqXL19Wunbtqpw7d05RFEX58ccfFVtbW8XMzEwxMzNTXFxclPnz5xfbfhuNRuXEiRNKmzZtFBcXF6VTp07KpUuXlPz8fGXYsGHKm2++qSiKokyePFnRarWKtbW1Ym9vr9jb2ysDBw4s9jyfPHmyUqlSJcXf319Zu3atYjQalSNHjigdO3ZU7t69q6SlpSkjRoxQvLy8lHLlyiktW7ZUdu3apeTm5hZrnu/fv19p0qSJUrZsWaVfv37KzZs3lfz8fKV///7KxIkTi7xm7969SvPmzYu9jKanpyvvvPOO4unpqdSqVUv57rvvFKPRqKxdu1Zp06aNoiiKcuvWLaV3795KuXLllAoVKii9e/dWLly4oBiNRrnIiT+tT58+io2NjaLRaBQbGxulatWqytWrV0vFdzMYDMr06dOVypUrK76+vsqyZctKZTlJSUlRhgwZotja2iqAYmVlpQQFBZWa4/g4V1dXRaPRKHZ2dqbfyt27d5e673n06FElJCREcXV1VXx8fJThw4crUVFRSn5+fqn6nirl1w3ZhRBCCCGEEC8M6UMghBBCCCGEBARCCCGEEEIICQiEEEIIIYQQEhAIIYQQQgghJCAQQgghhBBClHIyD4EQQgghhChVrl27xrp167h+/TotWrSgf//+f8vcAfn5+Rw/fpwNGzaQmJiIv78//fv3x8vLC5VKVWLzS2oIhBBCCCFEqRIfH09+fj62trZcvHgRo9H4t7xvZGQkkydPpnr16owZM4bk5GQ++eQTMjIySnR+SUAgxDNSo0YNatSogZeXF2ZmZqb/Bw4cSEpKCj179sTDw4PAwECaNGnCW2+9RVxcHABjxozB0dGRBQsW8HCqkHv37hEUFETz5s1JSkoCCqaOnzdvHlOmTCEpKYng4GBefvll7t+/D0BsbCwtW7YkJiaGpKQkQkND8fLyIjAwkJCQEGbMmEFKSgoASUlJNG/enCZNmnDv3j3T+y9cuBBHR0fGjBkjB1UI8WQxMbB1K4wfD927w+bNkifADz/8wKuvvkq3bt2YM2eOaUZ28ey1aNGCDz/8kCZNmhRan56ezldffUWLFi2oX78+Q4YMITIykqedlispKQknJyc6dOhA3bp1adu2LXq9ntzc3BKdX9JkSIj/p2PHjpGdnU1OTg4xMTFUrlyZVq1acezYMdMPwptvvmn6X6PRYGVlhaWlJaNGjWLIkCEkJibyr3/9i1WrVjFx4kQAvLy8OHXqFK+//jpOTk5cunSJpKQkAgICTJ+t0+k4f/48AwcOBMDe3p6IiAj2799P7969i+yrm5sb7733HsHBwURERDB+/Hhq1qxJhw4dAHByciIyMpKLFy/i5uZGamoqp06dwsvLSw60EKKo5GSYMwc++qjw+s6dJW+AwMBAli5dilarJTAwkAEDBuDg4CAZU0zy8/PZu3cv4eHhfPnll7i4uLB8+XLWrl3LhAkTsLa2/sP38PX1pXz58syZM4dy5cpx+fJlmjdvjq2trQQEQrzI9uzZw7Zt22jfvj0uLi7Mnj0bg8FAly5dALCxsUGtVmNvb1/odSqVCktLSxwcHDAYDOTm5pKYmGjaXrVqVaytrYmIiCA4OJj169fTvHlzdDqdKU1MTAwqlYqqVasC4ODgYHoS1a5duyL7qlarsba2xtHREXt7e9LT0wtVc9rY2BASEsKGDRto1aoVERERWFlZmd5fCCFM7tyBV16B48eLbsvMLBVfUa/Xs2rVKq5cucKcOXP+9OudnZ1/yao7pgdBovjk5ORw+vRpTp06xfTp01GpVCQkJGBubo5OpyMmJobx48c/8bWhoaGMHDkSjUZDbm6uqUZBp9ORmppa4mt/JCAQ4m9gNBqZOnUqZmZmODs789FHH5kCgt/7ofnPf/7DjBkz0Ov1aLVaPvjgA9N2e3t7AgICOHPmDBUrVuTIkSN8/PHHbH6sKv769et4eHhgZ2eHXq9HpVLRvn17oqKimD17NoMHD/7V7/cdXn31VbRaLVlZWfj7+1OtWrVCadq1a8f48eOJjY3l7NmzBAQEoNfrTdsvXrzI6NGjyc3NZfr06TRt2lROACFeNNnZ8NZbj4KBfv1g4EDw8QEnJyglN77Xrl3jyJEjnD17FkVR/lKn0YfX+jlz5vwtnVrFX5efn49Op6NLly506tQJlUqFoihYW1vj4OCAhYXFbwYELi4uAPz000/k5OTw8ccf4+joyLlz55g6dSq9e/fG09NTAgIhXmQNGzbEysoKKKgivnbtGkajEY1G85uvsbCwYPTo0fTt25c9e/bw888/ExQU9KhwarXUrVuXtWvXMnPmTLp3746Tk1OhJx2RkZH4+flhbW1tumnXarVMnz6dHj16FLlZd3Nz46233qJevXqsW7cOoMjTfycnJ7p168bMmTMxGo306dOH8PBwAAwGA19//TWzZs3CxsaGhQsXUqtWrRJfVSqE+JO+/x527ixYXrIEwsJA+/zdUhw+fJi5c+cybdo0AgIC+PTTT0lMTGTq1Kl/2HTHaDSyY8cOOnXqRGxsLBEREdSoUYP79+/ToUMH3nzzTXbs2EFsbCwjRozAzs6OFStWcP/+fSZPnkznzp3R6XQsXbqURo0a0apVKzlv/uGb/5ycHAwGA3l5eej1eqytrfH39+fatWt4eHjg7OxMdna26ffazs6Ohg0bPlVQodfrsbW1RafT/eVg8XkinYqF+BskJyebltPT07G1tf3Di4NarcbJyYmqVasyfPhwnJ2dWbVqFXl5eaY0/v7+6HQ6tm3bRr9+/Qq9PjMzk/j4eLy9vYt8VmBgIJ07d2bVqlVkZ2cXCjJcXV3x8fFh+PDhxMXFceTIkSJVnf3792fbtm3odDr8/f1N65OSkrC0tDRdSJ2dnYmPj5cTQIgXzaZNj5YjIqBRIwgOhv/8B44dg6fsoPms1a9fn8DAQFatWsXBgwc5fPjwU7fjP3HiBLGxsXTo0IFy5crx888/A3D79m30ej337t1jzpw5vPHGGyxcuJCYmBgWLFhA165d2bdvH1DQx2z//v2YmZmxY8eOEj8STUkSHx/P559/zt69ezl79ixz5szh6NGjtG7dGp1Ox+eff868efP44osv2LNnDwaD4anet0aNGqhUKubOncv8+fNZtWoV9evXL/F9Q6SGQIi/wdmzZ9m5cye+vr6sX7+erl27olb/uXh70KBBTJ06lfbt25vWOTk5MWjQIFq0aEFAQAAJCQmmbYmJiaSmpuLj4/PE93vzzTcJCwvj+vXrT9zu4OBAUFAQu3fvLlKTEBAQwLRp06hatWqhWgmDwYBWq0WtVqNWqzEzM3vqi6gQopRIT4dVqx79/3jb+p9+KuhgvGBBQZOiYmZra8ugQYN4++232b59O5988gmBgYF/+LrU1FTGjBnDnDlzsLOzIyAggKNHjzJ48GBiY2OpUKECY8eOxdLSknLlyuHl5cXo0aMxMzPD3d2d1NRUADw9Penbt6+pBln8cywsLKhYsSIVK1Y0rXN0dMTPz49JkyZx7tw5MjIy8PHxoXr16piZmT3V+/r6+jJ58mQuXrxIVlYWgYGB1KtX76k6JEtAIEQp99JLL7Fx40ZOnDhBrVq1mDFjxp9+j6pVq+Lq6srBgwdNtQQqlYqgoCCCgoKK1AL88MMPeHt7F7phf1yVKlXo1KkTkyZNeuJ2jUZDUFAQ69ev5+rVq1SuXNm0TWJxN+oAACAASURBVKVSmWokHv9cS0tLDAYDRqMRlUpFTk6O/NAJ8aLJyvrjNMOGQatWBX0KipmNjQ0ZGRlERUXh6en5VA9r/vvf/3LixAl69eqFWq0mNTUVR0dHoGA45xo1apg6CN+5c4fatWtjZmZGfn4+8fHxVKhQwfRw5fGR4cQ/p2zZsoSFhT1xW6VKlahUqdJfel+1Wo23tzfe3t6lKr8kIBDib+Do6Mi8efOeuK1ly5bcvXu3yPrVq1cX+t/e3p7Fixc/8eLz+Hu1bNkSKOjYFBYWZtru4uJi6hcAYG5uzoQJE5gwYYJp3ePboaBJ0v79+5+4/fHPfbhf+fn5aDQazp8/j7W1NTqdjvLly8sJIMSL5LFmjUycWDD3gIVFQc3BihUwenTBtoiIYg8IDAYDK1asoEqVKvTq1YspU6awatUqXF1dn5heURQiIiI4cOAAFy9eNPUDu3btGp07dyYhIYHbt2+bamZ1Oh1xcXEEBwcDkJGRwZ07d2jcuLGcJ0ICAiHEsxcWFkajRo3+0c9Uq9UMGDCAVatWYTQa/7ap4IUQJcjjTSMSE+FhLaGjI7Ru/WjbczD06LFjxzhx4gQTJ06kZs2aXLp0iWXLljFy5Eji4+O5ceMGbdu2NaXPyspi/fr1tGvXrtAIbO7u7mg0Go4ePcr9+/dNwzqnpaWRlpZmqhFIT08nNzfXNCKNECWFSlGek54/QpRQZ8+exWAwyBMhIcSLQVGgXTv4peMshw9D48ag18O8efCwmeLBgxAaWqy7GhkZSUpKCg0aNMDc3Jxbt24RFRVFo0aNWLBgAeHh4YVqa7Oysjh58iT+/v54eHg89pUV1q5dS506dUhJScHf3x8XFxcyMzM5f/481apVw9nZmfT0dMLDw6levfpvNucUQgICIYQQQpR8O3bA78214usLJ0/CczzySmhoKJ9++ukfDjMphAQEQgghhBC/ZjAU9B/4/POi2+zsCuYpaNBA8kmI35Cfn/+nRyOUgEAIIYQQz5ecHDh0qGCCssOHoUIFaNsWunWDvziCixAvSjCQmpqKs7OzBARCCCGEEEK8aMFASkoKd+7coWbNms/NfslMxUIIIYQQQjxjiqKQmprKnTt3uH379nO1bzLsqBBCCCGEEM/Qw2ZCt2/f5u7duxiNxudq/6SGQAghhBBCiH8gGEhISMBgMDx3+yg1BEIIIYQQQjyjYOBhn4E7d+6Q9/hM3xIQCCGEEEIIUXr9us/A89ZMSAICIYQQQgghnpHnvc/Ar0kfAiGEEEIIIZ5BMPC89hn4NakhEEIIIYQQ4m8KBkpCn4Ffk4nJhBBCCCGEeIFJkyEhhBBCCCEkIBBCCCGEEEJIQCCEEEIIIYSQgEAIIYQQQgghAYEQQgghhBBCAgIhhBBCCCGEBARCCCGEEEIICQiEEEIIIYQQEhAIIYQQQgghJCAQQgghhBBCSEAghBBCCCGEkIBACCGEEEIIIQGBEEIIIYQQQgKC50RKCqhUf/y3fbucDUIIIYQQQgICIYQQQgghxItDK1kA2NlB9eqSD6VBbi4cOgSbN8Phw+DlBW3aQKdO4OMj+SOEEEII8Sulv4bAyQkUpejfjz8+SrN6NXh7y9lQ0mVlwdtvw8svw+LFcO0a7NsH770Hvr7www+SR+LFtWPHoyaSOTm/nzYzE95881H669cl/4QQQgKCUiY9veAmEaB3b+jQQc6E0nLDs2TJb28fNgwMBskn8eJd72bOhC5dni59djZMmgTLlkneCSGEBASl2J49cOpUwfJ774GZmZwJpcF33z1aPnu2oPnQ/fsweHDBushISEqSfBIvBr2+oIasVSsYO/bpXqMoMH8+fPGF5J8QQkhAUIrpdDBjRsFyv35Qu7acBaWFo+Oj5cqVQasFF5eC5kIAVaqAg4Pkk3gxXL0Kbds+evjxNL799lHw0KKF5KEQQkhAUEr9/DOEhxcsv/EGqGWgpVKjR49Hy/36FdQYbNr06Abnyy/BxkbySbwYAgMLakDXrIHY2IKO9b8nOhp69SpYXrQIBg2SPBRCiBfEizfK0Pr1j5br1pUzoDQJDoYNG+C112D37oK/h/7zH2jfXvJIvDg0moK+A08jNxc++ggyMmDUKBgwADZulDwUQogXxIv1ePz+/Ucd5SZNKhiBSJQeKSmwa1fBcuPGBbUED02bVjCalBCiqF27YPlyqFkT/v1v6VclhBASEJRiFy8+Wm7VSo5+aTN3Lnz9dUHNz5YtBQFAVNSjwCAsTIZPFOLXkpJgxIiC5c8+g7JlJU+EEEICglLs/PlHy15ecvRLk7Q0mDq1YLl3b/DweHScR458lO7aNckrIR539Cjcvl2w3Lbto7kH+vZ9lMbX91H5EkIIIQFBiXbixKNlNzc5+qVJfv6j5e3b4eZNyMsrGIP98QnJpBO5EIXl5koeCCHEC+7F6VScnf2ok1yXLtJGtrRxdCzoTLxhAxw58tszT/v7S14JIYQQQryQAYGlZcGkO6J0Uqngww8LhpSNjHxymtWrpamYEL/Ws+eTr41r1z5qNnTtGvj4SF4JIYQEBEI853x84NChguFGv/sOTp4smKCsZcuCIUfr1JE8EkIIIYSQgECUaq6uBWOoDxggeSGEEEII8RRUiiLtaIQQQgghhHhRyZArQgghhBBCSEAghBBCCCGEkIBACCGEEEIIIQGBEEIIIYQQ4sXwl0cZSklJkdwrZZycnEzL+fn5xNy4QkL8bQw52U/1egsLS9zKlaeytz9qmRH4uSFltfSX1xUrVkiGiL/VABmp7alI2ROlpQzLsKPiiWJuXCErM4N6jZthYWn1VK/JydZzNeICMTeuUsU3QDJRCLmBE3KTK2VPiBJQhuUxrniie/G38a1W86mDAQALSyv8qtfiXnycZKAQQgghRAkhAYF4opyc7D8VDDweFOQ8ZRMjIYQQQgghAYEQQgghhBCiGP3jfQjy8/NZsmQJP/74I+bm5pQrV44xY8YU6iD3/5Wdnc3gwYMBSEtLQ6PRYGtri4ODA/Pnz39uMn/btm107dpVzkJR6vwT5RwgPT2dHj164O7uXmj9l19+yfjx41m4cKEcDCGEEOJ5CwgOHjzIlStXWL58Oebm5uzYsYMpU6Ywd+7cv+0zLC0tWbNmDQD//e9/cXd3L7Ybb6PRiEajeeK2zZs3P/V+/d77CPG8+SfK+UPOzs6m8v6Qoih8+umnz6zsCiGEEBIQ/D+kpaXh7u6OhYUFAB06dMDOzg6AM2fOsGDBAlQqFW5ubowdO5bt27ej1Wrp06cPAIMGDWL69Ons2bOHw4cPY2Vlxeuvv06LFi2e6vN//PFHli9fjlqtJjg4mIEDB3Lq1Ck2btxISkoKmZmZ9OjRg9OnT5OYmEi3bt3o3LkzEyZMwM7OjqtXr6JWqxk1ahQ1atQgOjqaWbNmkZmZiZeXF2PHjkWlUjFu3DgqVKiAu7s7rVu35tNPPyUtLQ17e3vefPNNrly5QlJSEjNmzODtt99m/PjxptqLmTNnEhoaSm5uLj///DOxsbH07t0bvV5fZN9TUlKYO3cud+/exdnZmREjRuDh4SFntihWv1fOExISipSHM2fOPLGcX7t2rcg5/zSysrIYN24cCxcu5MqVK3zxxRcAVKpUCU9PT7p16/ZUZc7FxaVI+ba0tOS///0vFy9exMzMjH79+tGgQYMSc2zy8/OZP38+33//Pebm5lSoUIGJEyfi7Oz8t7z/a6+9xooVK7Cysnpm3yEzM5OXXnqJcuXKoSgKWVlZdOzYkZEjR9K/f3/mzZuHg4PDb/4G+Pn54ebmJgX1ObZ582bCwsIK1f7Vq1ePDRs2PNPPXbBgAcOGDSu27z1ixAjef/99rKysGDVqFIMGDSIkJEROCPHM/eN9CFq0aMGdO3cYMGAAS5Ys4cqVK7Rs2RKAAwcO8P7777N06VI8PDw4fvw4zZo148SJEwDcvn0bGxsboqKiuHHjBkuXLuXzzz9n0aJF3L179w8/+8GDByxatIi5c+eyaNEibt68yffff2+6Sfnqq68YN24cS5YsYezYsXz22Wf873//K/QeK1asYOzYsXzyySfk5+fzySefMGTIEFauXIm3tzf//e9/Abhy5QodO3akX79+HD9+nJYtW7J8+XJ69OjB7t27eeWVV3BxceHf//737+7zyZMnmTp1KlWrVn3ivu/fvx9PT08WLVpESEgIly9ffu5PuuTkZLRaLT4+PoX+/sy+7969m+HDhz91+nbt2nHz5s2nSnv//n169OiBt7c31atXZ8SIERiNxr/tu5ekm8dnUc6fVB6eVM7Nzc1/s7w+LiUlhbCwMNPf5s2bC23//PPP+eCDD1iwYAH37t37w31/WOYaNGjwxPJ9/fp1IiMjWbhwIe+88w4XLlwoUcdm3759REREsHHjRjZu3EhQUBDjxo37295/0aJFWFpaPvPv4eTkxNatW9m2bRvr169n7969T3UsDh06REJCwgv1Qz9lyhRSU1OLrE9NTWXq1KnP7X537dqV69evm/6eJhjIy8v7f33mw4cHxe3s2bM0bNhQggHxj5Xhf7yGoEyZMnz55ZdERUVx9uxZZs+eTdWqVZkwYQKjRo3i9OnTrF27llOnTlGpUiWqVKlCeno6aWlpHD16lJYtWxIeHk5iYqIpE3Jzc4mOjv7DJ+PXrl0jNzeXzz77zBQEXL16lQYNGlC7dm0sLCwoX748Pj4+uLi4FLm4NG/eHAB/f3/TjcutW7fYsGEDGzZsQKfTodPpAHBxcSEgIMB0Ubt48SJbtmzh2LFjODo6PnV+1a5dG3t7e44fP/7EfW/ZsiVTpkxBo9HQrFkzfHx8SsTJ7eHhwfXr15/LfRs/fjx+fn5s2rQJg8HA4MGDmTp1Kh9++OH/+72dnZ359ttvS/3F6/fK+ZPKw5PK+W+V15deeqnIjeHKlSsLrcvMzAQK+hjodDq8vLwAaNq0KXq9/qnKnF6vf2L5fvvtt0lJSWH27Nk0bdqUQYMGlahjk5qaioeHh6n2pmvXrtjb2wMwatQo7O3tiYyMRKPR8O9//5tatWpx8+ZNPvroIzIyMvD29mbSpElYW1uzY8cO1q1bR15eHv3796dz584MGzaMpUuXsmzZMmJjY4mKisJoNNKvXz927dpFVlYW48eP/8331Wq1DBgwADc3NxISEqhQoQIzZsz43ckOXVxcCAwM5Pbt26Z1+fn5fPHFF5w6dQqAYcOGYWVlxYkTJ4iOjmbmzJmm63xplpqaypw5c9i+fTuHDh0y/f6kpqYSGhrK+fPnCQkJeepa9uJ2//59Bg4cyK1bt7C3t2fZsmX4+fnRoEED+vbty6FDh3jrrbeYNWsW9+7dIyUlhXfffZfvvvuO2NhYRowYwdChQ7l16xZvvPEGSUlJlClTho8//phTp04RHx9Pv379WLNmDYMHD8bb2/tvCZgvX77MnDlzyMzMJCcnhzp16vDBBx+Ql5fH9OnTuXLlCh4eHqSmpqLT6VixYgU6nY6aNWua7j3Ei+mfKsP/eECwdu1agoKCqFKlClWqVKFbt2707t2bxMREPv74Y3x9fWncuDG5ubmm1wQFBXHy5EmOHTvG1KlT2bZtG7169aJ169ZAQfOAp3kiZW5uToMGDRg7diwAOTk5AISHhxf6sfmtdsOPp9FqtajVatzc3Jg+fTpQ0OY4O7tgyM3Hq8tXrlzJ9evXad++Pd27d+fgwYO/u58PgwoAa2vr3913CwsL5s2bx/Hjx/nyyy8JCQnhlVdeKbEnfo8ePejXrx9du3alV69e9O/fnwYNGjBgwABiYmKoWLEiq1evNqVPTk6mY8eO/PzzzwAMHjyY1157jaZNmzJ48GDOnj1L5cqVSUpKMr1m4sSJbNy4ETs7Oz744AN69uxZaB+SkpIICgpCrVZjaWnJjBkzuHHjhikY9Pb2JioqCg8PD77++ms8PDzYsmULEyZMQKPR0K1bN6ZNm4bRaOTdd9/l8OHDaLVaFi9ejK+vL23btuXUqVM0adKEypUrc+7cOTw9PWndujUbN27EysqKXbt24eTk9MT33bdvH0uWLCE+Pp709HT69OnzhzVNz1M537NnzxPLw6/LeXR09BPP+T9DUZRC//9WMPCkMmdmZvbE8m1hYcGSJUs4efIk+/fvZ+fOnXz00Uclpoy1bt2aAwcO0LNnT0JCQmjWrBlt2rQplGbTpk1ERkYyfvx4tmzZwuTJkxkzZgy1a9dmxYoVzJkzh7CwMFauXMnatWvJy8vj9ddfp127doXex8LCgk2bNrF48WK2bNnCihUrOHjwIDt27KBWrVpPfN8xY8Zw9epV3n//fWrVqsXIkSM5d+4c9erV+83vFBERwZkzZwgLCzOt+/7774mJiWH9+vUkJSXRt29ftmzZQqNGjejatesLEQwAODo6cvjwYVq0aEFoaCiHDh0CMN1IrFix4rkNBnbs2GF6sAawfPly1qxZQ1BQEDt37mTr1q289dZbpmtIXl4e27ZtY9++fURHRxMeHs7x48dp27Yt0dHRKIpCaGgoQ4cOZdeuXbz++usMGTKErVu3smTJElauXMlXX31l6pM0a9asv7Uf0blz59i8eTPly5dn9OjR7N27l/T0dIxGIxs3buTKlSv07dsXa2trwsLCuHnzpgQD4h8rw/94k6Hc3FzTDwhAXFzBJFa2trbEx8czZMgQatWqxdWrV03NNJo1a8bOnTuxtrbGycmJWrVq8e2332I0GklLS2PAgAF/+NQPwMfHh4sXL5KcnIzRaGTChAmEh4c/9b7/8MMPAFy/fp3s7GzKlfs/9u48PqZ7f/z468xksk0WEUtIBEkkJCqCWIqQoqg99qVFmx+lqlVb6W3RqqvV0mr121JiLbW0aClXi6LEUkkpEkoSSiIiezLJZCbn98cwRGJpy73E+/l4eJic/XzOOTOf92c71XFzc+Po0aMArFy5kq+++qrMH6thw4bRsmVLEhMTreeuqiqqqqLT6UhLS8NsNpOfn2/d3r0ce1RUFPv376dbt24MGTKE2NjYR+IGT0lJoV69eiX+GY1G5s+fz5tvvsnmzZsBS9vzqVOn0qVLF06cOEHz5s358ssv77r9zz//HLPZzIkTJ3jnnXc4cuSI9QcmNjaW48eP85///IeJEyeSmJhYYt3x48czY8YMwsPDmTNnDgUFBdaH7eLFi0RERHDy5Ek6derE1KlTuXz5MhMmTGDv3r0cPXqU2NhYVq9ezerVq7l8+TLHjx/no48+4l//+lep43zqqaeIi4vDZDJx8eJFjh49Sv369dmyZctttwuWZg/btm3jyJEjfPrpp9ZA9GFxu+fc1dX1ts/Drc/5P31er+/P1taW8+fPYzabraXF9/LM2djYlPl8Hzp0iE8++YSwsDDGjh3LyZMnH6kfl0qVKrF48WL+/e9/U7FiRWbNmlXi3rxeAxMYGAjA+fPnSUhIYNmyZYwbN47o6GhOnjxJbGwsTZo0wcHBAWdnZzZs2ICNTckyppYtW6IoCt7e3jRr1gydToe3tze5ubkYDIYytwuWmrTg4GAAfHx8rDU+N8vIyKBXr1706tWLmTNnEhkZSVBQkHV+bGwsTz31FIqiULlyZWrVqnXPzQbLm4YNG7J7924SEhIIDw8vkZG4OYh62HTv3p1Tp05Z/7Vo0YJ9+/ZZC72eeeYZjh49ag38by4MCw8Px8HBAX9/f0JCQqhevTqenp7WwsaXXnqJoKAg5s+fz4IFC8oscHBxcUGv19+38/H396dGjRooikKHDh2IiYnht99+o2PHjtYCJ+kDKP5Xz/B/vYbg2WefZfHixYwYMYLCwkKcnZ2ZPHkyjo6ORERE8Morr+Dq6krdunVZu3YtnTp1om7duly+fNn6evBGjRpx7NgxIiMjMZvNjBw5Eicnp7vu29nZmZEjRzJp0iSMRiMtWrQgNDTUmkm4a/Sk0TBq1CiMRiOvv/46Go2G1157jTlz5jB//nyqVavGG2+8UWq9vn37Mn/+fPR6PQ0aNODEiROcOnWKunXr8uabbzJz5kw6d+7MiBEjMJvN+Pj43POxe3h48Pbbb7Np0yY8PDwYOnToI3Fze3h4lNlnwNPTkxdeeIHhw4dz4sQJAHbv3m1trvPmm29SVFTEjz/+eMft79u3j+eee856v9SsWROAvXv3cuHCBesPh9Fo5Pjx49SqVcu6bqtWrThz5gwHDhxg+/bttG3blqlTpzJ69Gg0Gg0RERGApfNkeHg4R44cwWg0Wu/PxMREjhw5QlZWFr169QKgTZs2hIaGlqj5uh7wXP+huPlzVlbWbbf79NNP0759e2szj+rVq1NYWPhfabf9T59zOzu7Oz4PNz/nt7vn/6pJkybxzjvv4OjoiLe3N3q9HgcHh7s+c0CZz7dOp2PTpk0MGTKEatWq8dJLLz1SPyxRUVGEhYXh5+eHn58f/fv3p3v37tb+FbfWhGq1Wjw8PKxtq6/XlOzcubNEAJCZmVlqWNlbt3UznU5X5navZ8Tu5nofgrt9Z9+8/1trjB7HDEXbtm3Jysp66IOB21FV1XpdFUVBo9FYr+vN+YCbS/Z1Ol2p7UybNo2jR48SGRnJK6+8UmZh3v126/1YXFyMoigllrmfAYiQZ/ihDgi0Wi0jRoxgxIgRpeYNGDCAAQMGWP++OXP79ddfl1j2egfCu3nxxRdLlVi1bNmyxLTQ0FBrRqNy5crMnz/fOu/mL4k+ffpY2yJf5+3tzSeffFJqv4sXL7Z+btq0KU2bNrX+PWjQIIASpXJDhw4tMzPfvHnzOx57jRo1WLRo0X2/TnZ29hQWGP7y24ot6/yzjGlmZiaqqpKeno6Hhwcmk8n6hW40Grl69ept183OzrZ+8d78RXt9hBsHBwcmTpzIkCFDAMjJySk1Gsrw4cNZuHAhYWFhhIWF8dxzz9GlSxdGjx6NoijW7drY2GA2m3FwcKBTp07WmouCggJUVWXUqFElfoiSk5NLNVO404/W7ba7Z8+e+zYizP/iOb/d81DWc17WPX9rCd6t61zPGFx/B8Evv/zCRx99hKOjI++//z7e3t73/Mzd7vm+3ozoUWQ0GlmyZAkzZszAxsaGpKQkAGu71J9++olWrVoRHx9PQUEBnp6euLu7c/jwYUJDQ1m8eDFGo5Fu3bqxdOlSCgsLMZlMDB06lHXr1t37j4+NTZnbLeue+TsaNGjA1q1b6d69O+np6fzxxx/4+flZg4/HOUMRGxv7SAYDYGlauGHDBiZNmsS2bdsIDg6+Y/+S2zlw4ADvvfceISEhzJ49u1TNvaIo5ObmotVq79uIWXFxcVy8eJHq1auzfft2WrdujcFgYMeOHYSFhVkHTBHif/EMy5uKRZkqe3gSf+I3CgsM97xOYYGB+BO/UdnD8x99YW7bto0NGzZYS15btmzJxo0bAZg7dy4fffSRdXl7e3suXryIyWQiNzfXWnPQsmVLa0bx5MmT/P7774Bl9JuoqChMJhNpaWnUq1ePvLy8Esdw7tw5Fi5cCFg6Jh45cgRfX19rRuL6saxZs4aWLVvSqFEj9uzZQ3JyMmazma5du7Jnzx5atmxpLcE8cOBAiWD3Xtxuu+Kv8fX15d1332XUqFHY2dk9FqM83UlkZCQeHh4MHjyYHj16MG3aNKZPn27tZKzRaHjuueeYNm0aM2bMQKPRWF/y1qdPH2uTr5o1a9K/f3+GDRvG4MGDGTlypDXwvldlbfd+6dChA15eXgwePJixY8fyxhtvoNfrqVevHnPmzOHKlSuPbYbiUQ0GAN555x1+/vlnGjVqxJw5c/72ywdfe+01XnrpJWu/l/3793Pw4EGaNm1qrdkdN25ciQLCfyowMJBZs2YxcOBAXF1d6dq1q7XGeeDAgXz88cd3LAAR4kE+w4r6N+tQMzIyHqsLYDKZ0Gq1par3ypObq/sLCgq4kPAHaZcvUVh4b+3T7eztqVS1OjVq+d2x+crVq1fx8PCwltZdN2vWLD7++GPee+89mjVrxpAhQ+jYsSNPPfUUw4cP59KlS1SuXJm1a9dy6NAhtm3bxieffMKMGTNYv349RUVFVK9enTfeeIOWLVsSGRnJ8ePH8fT0RFEU5s+fj6+vL9OmTbMuP3369BIl1GAZxWL06NGcOHGCvLw86tevz4IFC6hVqxZeXl60b9+eY8eO4erqysqVK/H09GTTpk3861//oqCggO7du/Phhx9SVFTE6NGjOXz4MCaTiUWLFhEYGEj79u2tnYo3btxI1apVrZ2h27Vrx4cffoi9vT0vvfRSmdvdvn07GzdutP4QhoaG8uOPP9523PXH7Vl9XNz8vEZFRVmbWv0T48aNY8yYMdYAWDye7tf9JGl1w6lTp1i6dOk/fmGiEA/qGZaAQJSZwRBlq127NgkJCY/UMcuzKgGBBARCAgIJCITcl3diI8kmhBACLC9xu5/DLAohLOrWrftI9z0S5Z8EBEL8BfHx8ZIIovz+INjIT4IQD4KiKPJ8iYeadCoW4i+wtbWVRBBCCCGEBARCCCGEEEKI8kHqr4QQohyIioqSRBBCnj0h/pa/PcqQEEIIIYQQ4tEnTYaEEEIIIYSQgEAIIYQQQgghAYEQQgghhBBCAgIhhBBCCCGEBARCCCGEEEIICQiEEEIIIYQQEhAIIYQQQgghJCAQQgghhBBCSEAghBBCCCGEkIBACCGEEEIIIQGBEEIIIYQQQgICIYQQQgghhAQEQgghhBBCiEeETVRUlKSCEEIIIYQQjylFVVVVkkEIIYQQQojHkzQZEkIIIYQQQgICIYQQQgghxONI+hAIIYQQQgjxGJM+BEIIIYQQQjzGpMmQEEIIIYQQEhAIIYQQQgghJCAQQgghhBBCSEAghBBCCCGEkIBACCGEEEIIIQGBEEIIIYQQQgICIYQQQgghhAQEQgghhBBCCAkI7mrfvn20bNkSZ2dnqlatSv/+/bl4NF2tdQAAIABJREFU8SIAM2bMQFEUsrKy/ta24+PjURTF+s/Ozo4mTZpw8ODBhzKR/+n5CiGEEEII8aDYPIiN5ubm0r17d9zc3Jg+fTpJSUn83//9H+np6ezYsYOuXbvi4eGBg4MDOTk5jBgxgn79+tGrV6+/tJ/OnTvTo0cPzp49y6effsqzzz7L6dOnH7pEvvl8hRBCCCGEKPcBQVxcHBkZGUyZMoXx48cD4OLiwtGjR1FVlcaNG9O4cWMA0tLSWLNmDQEBAfTo0QON5t4rLRo3bszIkSMBOH36NJs2bcJgMDx0Ge+bz1cIIYQQQoiHyV9uMjR+/HgiIyNL/fvtt9+sy3h5eWFra8ucOXOYOnUqW7ZsYfz48WzduhVFUUo0oWnXrh1gaVazevVqjhw5wpNPPomrqytPP/00Bw4cuOsxJSQkcPz4cdzc3HBwcCA0NJRWrVrx2muvMWLECIqKipgyZQo1atTA3d2dfv36kZKSAsD58+d55plncHFxwdfXl5UrVwJgMpmYPHkynp6e+Pj4MGnSJMxmMwALFizA29sbvV5Pq1atOH78OAC7d+8mODgYBwcH6taty/r1663ndv18J06ciKIozJw5k8qVK+Pr68uePXsAyMjIoEePHlSsWJEpU6agKArvvfee3KVCCCGEEOLBUf+iOXPmqECJf02aNFEzMjJKLLdp0ya1UaNGqqIoKqDqdDp13Lhxqqqq6vTp01VAzczMVNPS0lRAnTlzppqXl6d6eHioXbt2VXfs2KH269dPrVChgnrhwoUS246Liyt1DIA6Z84cVVVVtUmTJqq9vb3aokULNSoqSp09e7YKqGPHjlU/+OAD1dnZWe3UqZOqqqoaFhamVq1aVf3888/ViIgIVavVqmfPnlXnzp2r2traqitXrlTXrl2r6vV6dfz48WpSUpIKqM8995y6efNmNTAwUA0PD1dVVVV9fHzURo0aqVu2bFF79uypuri4qHl5eSXOd8KECSqgRkREqB9++KHq6Oiotm7dWlVVVR06dKiq1+vVd999V23ZsqUKqLNnz1aFEEIIIYR4UPg7K73//vt3DAZulp6erq5bt04NCgpSAfXXX3+9bUBw8ODBMjP6q1evLjMg6Ny5s/r555+rixYtUg8dOmSd36RJE9Xb21stLi5WVVVVW7Roofr6+lrnP//886pWq7Xu+5VXXlFVVVWzsrLU3bt3q2lpaWrnzp1LHUdAQICanZ2turi4qC4uLmqfPn3UTz/9VM3KylJVVVXbtm2r2tjYqO3atVNnzpyp/vHHH6UCoOsBQXZ2tqqqqtqhQwfVz89PVVVVdXFxUfv376+qqqqePHlSAgIhhBBCCPHA/a1RhiZOnMicOXNo0aIFO3bsoEKFCiXm7969m9DQUNauXYubmxt9+vRh7NixAFy9evW223V2dgbgyy+/JDc3l+zsbNLS0oiIiChz+et9CCIjIwkNDS0xz9vbG0VRrteClOiboNVqUVWVoqIiS7upa/MURcHGxgZFUXB2dsbHx4fc3Fxyc3NJT08nOjoaZ2dnzpw5w4cffgjApEmTrPveunUrX3/9Nb6+vnz66acEBgaSmJhY5rE7OjoCYGdnB0BxcTGFhYXodDoAbG1tpfpKCCGEEEI8cH972NEJEyawf//+UsEAQFBQEH/88Qevvvoq06dP58MPP+T999/Hzc2NJk2alFhWp9OhKApxcXFUqlSJOnXqsGTJEg4dOsTQoUMJCQnBYDD8o5Ps1q0bZ86cYcKECXzyySesXbuWdu3a4eHhQfPmzfnqq6+Iiori+eefJzw8nNzcXLp06UJCQgIrVqzg+++/x9PTk6ioKLZs2UJQUBAXLlxg5MiRhIaGcuXKFdLS0qhZsyZr166lb9++9O7dG6PRSEZGxr1dCI2G8PBwNm3axNy5c62dpYUQQgghhHgoA4I7qVy5Mj/88AP+/v589NFHzJw5E29vb3744Qfc3NxKLOvi4kJkZCQbN27k559/Zt26dZjNZrp27UpiYiJff/01rq6u/+h4Jk6cyMSJE1mzZg1vvfUWHTp0YPny5QCsWrWKBg0aMHbsWGJjY/nqq6/w9vZmyJAhTJ48menTpzN69Gief/55Xn31VTp37szQoUNZuHAhXbt25cqVK6xevZpKlSoxZ84cYmJi6Nq1K99++y1z5swhJCTkno/z888/p2HDhsyYMYPAwEC5O4UQQgghxAOnqKqqSjI8HKZPn05BQQGTJ0/m22+/5YUXXmD9+vX07t1bEkcIIYQQQkhAUN7t3LmTcePGcfLkSSpVqsTzzz/PzJkzrX0hhBBCCCGEkIBACCGEEEIIcd9oJAmEEEIIIYSQgEAIIYQQQgghAYEQQgghhBBCAgIhhBBCCCGEBARCCCGEEEKI8s1GkuCaq1dh0ybYvBnOnIHmzaFTJ+jYEVxcJH2EEEIIIUS5JMOOAly4AP36QXR06Xm9esGiReDuLneLEEIIIYQod6TJUHExTJ9edjAA8O238MUXcqcIIYQQQggJCMqlpCRYssTyedAguHgRjEY4dQoaNLBMf+MNSE+Xu0UIIYQQQkhAUO6kpd343LcvVK8OOh3UrQuvvnpj3oULcrcIIYQQQggJCModO7sbn3/4AS5fBrMZiorAyenGvKwsuVuEEEIIIUS5I52Ks7LA3x9SU++83M8/Q1iY3DFCCCGEEKJckRoCV9cbfQjuRK+Xu0UIIYQQQpQ7UkNw3bFjsGUL7NoFZ8/CM8/AkSM3Rh+6eNHSv0AIIYQQQggJCB4D8fGWjsUA3brBxo2gkQoVIYQQQghRvsibiq8zGqGgAC5dgoMH4eWXb8wbN06CASGEEEIIIQFBuRUTA40alT1v9mxo00bSSAghhBBCSEBQbtnbl55WpQosWAA9e0rtgBBCCCGEkICgXLO1hdatwdcXgoPhiSegSRPLCERCCCGEEEKUY9KpWAghhBBCiMeYtIURQgghhBBCAgIhhBBCCCGEBARCCCGEEEIICQiEEEIIIYQQj4e/PcpQRkaGpF455ObmJokghBBCCPEYkRoCIYQQQgghJCAQQgghhBBCSEAghBBCCCGEkIBACCGEEEIIIQGBEEIIIYQQopyz+V8fwGeffcaPP/6IXq/HYDDg7u7OpEmT8PX1fWgSaceOHaxatQoAFxcXRowYQf369fnkk08IDQ2lefPmbNy4kZ49e97T9j755BN27dqFXq+nqKiIWrVq8dprr1GlSpXbrrN//378/PzuuIwQQgghhBB/1UNRQzB8+HBWrFjB2rVradWqFZ9//nmJ+Waz+X92bJcvX+azzz7jgw8+YOnSpYwdO5Y333yT7Oxsnn/+eRo1agTAhg0b/tJ2IyMjWbFiBWvWrKFdu3ZMnToVVVVvu/zevXtJTU2VO1YIIYQQQtxXNg/TwWg0Gp588km2bdsGwKhRo2jfvj0xMTFMmDCBOXPmkJKSgl6vZ+LEidSoUYO4uDjmz59Pfn4+jRs35qWXXkKj0bBkyRJ2796Ng4MDAwcOpG3btvz+++8sW7aMrKws6tSpw7hx44iLiys1zcbmRrLk5OTg6uqKs7MzAH5+fkyaNAlFUVi2bBmNGjXizz//JC0tjX//+99MmTKlzH3fSYcOHfjuu+84ceIEdevW5YMPPiAuLg5HR0c6d+6Mp6cnv/76K+fPn+ftt98mMTGRzz77DEVRqFq1KhMnTqRChQpyNwshhBBCiL+eB3+YDiY3N5fvvvsOb29v6zSz2czMmTNZunQpgYGBLF68mL59+zJv3jxUVWXWrFlMmjSJxYsXk5SUxKlTp9i/fz9//PEHX375JXPmzOGLL74gOTmZ1atX069fPxYuXIher+fPP/8sc9rN/Pz8qFevHoMHD2bevHns2bOHpk2bWgMEgD59+lCpUiWmTJly233fjY+PDxcvXuTMmTPodDqWLl3KrFmz+Prrr2nUqBGNGzdm1KhRuLu78+OPPzJp0iS+/PJLqlWrRnR0tNzJQgghhBDib3koagiioqJYu3YtADVq1ODll1+2zgsLCwPg+PHjzJgxA4BmzZrx/vvvk5qaiqIo1KpVC4DZs2ejKAqLFi0iNTXVunxRUREJCQk0btyYL774gsTERPr160elSpXKnHaryZMnk5qaSkxMDFu2bGHZsmXMmzevzHM5duxYmfuuVq3aHdNAURQURaFevXo4OTnx/fffExcXR0FBQallx40bx5EjR1i1ahWHDx+mZs2acicLIYQQQohHNyAYPnw43bp1K3Oeo6NjiUzz9f81Gg1msxmtVmudn5+fD4CdnR39+/enQ4cOAOTl5WFvb49WqyU4OJiDBw/y2muv8frrrxMREVFqWmBgoHWbv/zyC0ajkfDwcDp27EjHjh2ZOXMmBw8eLPN4b7fvuzl37hzt27fn8OHDfPnll0RERNC3b19iY2NLLTtp0iT8/f1p3rw5RUVFchcLIYQQQoi/7ZEZdjQoKIi9e/cCcPjwYXx8fKhatSr5+flcuHCB4uJiZs2axcmTJwkODmbbtm2YzWaysrIYPnw4BoOBiRMnUlxczKBBg2jZsiUnT54sc9qtAcny5cvJzMwEIDs7m0uXLpUq8VdVFVVVb7vvO9m5cyd5eXkEBgYSHx9Phw4d6NixI7m5uSXWNZvNmM1mLl26xMiRIwkODiY+Pv5/2ulaCCGEEEI82mwelQMdPnw477//Prt27cLOzo4JEyag1WqZOnUq7777LgaDgQYNGtCsWTMUReHYsWNERkZiNpsZOXIkTk5O9OjRgzfffBM3Nzdq1KjBwIED8fDwKDXtZiEhIQwaNIjJkydjMBhQVZXevXtTv3599uzZY12ubt26vPnmm8ycObPMfd9qyZIlrF27lqKiIry8vHj33XdRFIX27dvzwQcfEB0djY+PD97e3qxfv56AgAA++eQTZs+eTUREBK+88gqurq7UrVuXtWvX0qlTp3uqiRBCCCGEEOJminqnsS7vICMjQ1KvHHJzc5NEEEIIIYR4jMibioUQQgghhJCAQAghhBBCCCEBgRBCCCGEEEICAiGEEEIIIYQEBEIIIYQQQggJCIQQQgghhBASEAghhBBCCCEkIBBCCCGEEEKUH3/7xWRCCCGEEEKIR5/UEAghhBBCCCEBgRBCCCGEEOJxZCNJIMTj7dOYzyQRyqExIaPlGj9m11kIIf4uqSEQQgghhBBCAgIhhBBCCCGEBARCCCGEEEIICQiEEEIIIYQQjwfpVFxOpKSkcOLECVJSUjAajdja2uLh4UFQUBAeHh6SQEIIIYQQQgKC2wkNDWXbtm24u7s/csduNBo5ePAgycnJhISE0Lp1a2xtbTEajSQlJbFnzx6qVatG69at5UI/YHv27GHMmDHk5+dTv359Vq1ahV6vZ/fu3bz66quYTCZefvllRo4cCcBHH33EokWLsLOzY8GCBbRo0QKj0ciLL77IoUOHqF69OitWrKBq1apcuHCBoUOHkpqaSqtWrViwYAFarbbcpF3fgD442jhgVs0oKKiqyr5L+0nMSrztOr39I9hybisFpoK7bt9Wa0stl1qczjh912UrOlREg0Ka4WqpeZ5OnrT2bImiUTh25Tgn0k4CEFw5mMBK9TAXm9nz515S8lLkgXgAvJy9eLJ6c7Yn7qCGcw3qVQxg3ekNJZZpUPkJnqj0BFpFQ3zGaQ4mHwIUWnu1pJZLTUyqid3n95Ccl4xG0RJeI4wq+irkGfPZcf5HDEUGnGydaO/9FA46B5JzU/j5wh5UbrzD07+iP6fTT8sFEUKUG9Jk6BF38OBBAHr27EmdOnWwtbW1ZIBsbalTpw49e/YEYO/evZJYD9jo0aNZs2YNZ86cwdHRkaioKIqLixk1ahTr16/n4MGDzJs3j8uXL5OQkMDixYs5evQoK1asYNSoUQCsXr0aRVH4/fff6dWrF++++y4Ab731FsOHD+f3338nIyODTZs2lbv0++7sFlae/IoVJ1ex/1I0bbzuXxBrq7WjnnvAXZerYF+BNp5hVLQvq3BAoW2NMH5I3M66+A00rByMg84BF1tnAt3r8nX8On5M+om2XmHyMDwgtV1rcTjlV7IKs/B382NrwrYS8x11jjSo9ARfx69lVdwaAtz8qWhfEf+Kdahg58pXcWvYnrCD9jWfAhT83fxQgdWnvuZcVgJNqjYGoJlHU06lx7H61NfYae2o7VobAJ1WR0BFf5pWbSIXQwghAcH9UFhYSEhICN27d6dhw4b07duX4uLiEsukpqbSt29fGjVqRJcuXUhMTARg7ty5BAQEEBISwpgxY1BVle3bt/P0008THByMt7c3c+fOpVOnTgQGBvL5558D0K1bN4YOHUpgYCANGjTgl19+KbG/rKws+vbtS0BAAGFhYZw4cQKAJUuW0KpVK5o0acLcuXMfmouXkpJCcnIyzZo1swYCpTJCtrY0a9aM5ORkUlKk1PJBGjZsGIGBgSiKQlBQEEajkVOnTlG5cmX8/PzQ6/V07tyZ7du3s3XrVnr16oWdnR1BQUEoisL58+f5/vvvGTx4MACDBg3i+++/B+A///kPffv2LTW9vLqUdwk7rf1dl2tYJZhedXoS4d8LJ1sn67TB9QbRP6AfYdeCiierN6eSQ2VCqjZEr9PzYvCIUttysXWhqUcojjrHMvdV0d4Ng8lAVmEWpmITSdnnqensTU2XmpzLSqC42Ex6QToqWI9FXPuh0WjpH9CPLj7PMCCgH51qdwSUOwRwtnSq3ZHB9QYRUacnFe0rUkVfBR/X2oR6NKapRyju9u50qNkOgHDvtjSqGoJG0XAw5RCmYhPmYhNZxiy0ipaqDlVIyErEfO0aFZgLqejgRi3XWsRfK+k/nXGa2i61APB2qcEfmWevTT9DbdeaANSvVB8f19p3OnQhhJCA4K+KjY1l8uTJxMbGkp+fX6oUe8WKFfj5+XH06FH69u1LdHQ0RUVFbNy4kZiYGGJiYti3bx9JSUkAJCQkEB0dzbJly5gyZQpLlixhx44dJTLxqqpy8uRJlixZwnPPPVciCJkxYwYhISHEx8cze/ZsevfuDcCkSZP44Ycf2LNnD7/88guqqj4UF+/EiROEhITcNhi4OSgICQmxBjjiwZgwYQJJSUn069ePjRs3MmzYMFJSUvD09LQu4+npSUpKyj1Nd3V1JScnh6KiIlRVxd7evsSy5ZVWY0OgeyBJ2Yl3XbbIXMS3ZzZyPvs8dd0C0CgafFxr83X8Wr6OX0t1fTWcbZ3ZfymaNMMVYi7HkleUz7KTK0ptK9uYzX8Sd5CUnVTmvhx1juQW5Vn/zivKw0HneG167k3Tc28bVDzOKjtW4tfLR1kTvxYbjQ3VnarddtlQj1Cu5F9h1amv2H8pms61O5Kal0pCViIHkw9zKOUwVwvS2Z60A4B9F/dz7Mpxco25nMn4A28Xb7r7diO/yMAVwxUyCjOp4eyFoii42LpQyd4dRxtHHG0cyTNZrqnRbESn1aFRLD+L5mIzALlFuThcu54xl2P46fwuuZhCiHLnf9qHoEqVKrRs2RKAwMBAMjMzS8xv06YNERERaLVaevfuTUhICAAbNmxg48aN/P777yQkJFBYWGgpJQoPx8HBAX9/f0JCQqhevbol01BUZN3m9VLWJk0sVb6XLl2yztu7dy/Ozs4cOHDAGmDk5OQQFhbGwIED6dOnDytXrkRR/lrx0M6dOx9I+iUnJ99z34CaNWty8ODBB3Ysj4qnnnrqgd/TI0aM4L333mPjxo3UqFGj1DJms7lUbdjtppvN5jIDULPZXO6uTTffLphVMxq0OOocWBu//q7rnMs6B8BVQzrV9B4Uq8VsTdiOj2ttKjq442znjFajxVR8c3qpGIoMf/n4lDKKhTUoZX4faKQ1Zin5RfnWvhXphnTstHa3Xba6UzWKzEY89JYBEVxsXdBpdXcIDI0l/k7Nv8KJqycJ9WiCu4M7J6+eopreg8H1BpFflM/VgquYik3ceuks11iupxBCAoL/qooVK95xfpMmTThw4ADff/89L730En379mXQoEG0adOGESNG0LNnT2JiYqzL39zJUqcr+8dDo9GUWObmjJWDgwPLly/Hy8sLgIyMDJydnVm3bh0///wzW7ZsYebMmRw7dgxHx/99CWBRUdFdaweus7W1LREYifsrOzubtWvXEhkZSfv27QFLp+HZs2eTnJxsXS4lJYX69euTm5tbanq1atWoVq0aycnJBAQEkJubi4uLC7a2tiiKYh096vqy5c13Z7eQXpAOgI9rbdrUCOPbMxvvuI7hlg7FDjoHIvx6cuLqSc5lnaOyw/0bKCCvKA+9jd76t6POkauGdHTFulLT826qSRAWhebCe17WXGxiR9JO8q7VvNhq7Sgy3/37q6JDRfQ2ei7kXOBs5lkqObjj7VyDq4ar7Ej60bpc/4B+5BblkleUj95GTyaZ6DQ6jOYiilXLb4JG0VKsmtHr9HI9hRDl3kNd7PHWW2+xefNmRo4cyb/+9S92797N2bNnCQgI4LXXXqNOnTrExsZiMpnueZvr11tKHWNiYjAYDCVKcNu2bcuiRYsA2L17N8888wyZmZk0adKEZs2a8eGHH+Lu7k58fPxDkT46nQ6j0XhPyxqNxtsGSeKfc3Jy4vXXXychIQFVVfnpp5/w9fUlKCiIy5cvc/HiRQoLC9m2bRsdO3bkmWeeYfPmzZjNZs6ePYvRaKRWrVp06dKFDRsso6Zs2LCBLl26ANC+fXu+++67UtPLq+S8FJx0+r+8nqutKxmFmcSm/kZmQRaVHCpZS3dvlPAr2NvY3/tzptGh1diQXpCOo84BvU6PRqPF26UG53POk5SVRC3XWigouNi5olG05Bhz5KH4By7mXiLIvR5gGdmpm2+Xe7pGWrS09HwSG40NGo2W6vrqZBVm4aH3oKvPMwBU0VfBpJrINeaSlJWEbwUfAHwr+JCYY2kudiH7ArVda1mmu/qQeJtmZEIIUV481MOODh48mP79+7NgwQJq1arFjBkzaNSoEXq9nrCwMLy8vOjRowdvvPGGdZSWu0ZAGg2hoaEUFhayfPnyEjUGEydO5IUXXqB+/frodDqioqKoUKECXbt2xd/fn9q1a9O+fXsaNmz4l87jQTVT+emnn0hKSqJOnTp3XTYpKYlq1ao98CYzj21krdGwfPlyunXrRlFREXXr1mXJkiUoisLChQutneZfffVVa+n+sGHDaN26NaqqsnjxYgCeffZZ9u3bR+vWrXF2dmb58uUAzJ49m6FDhzJv3jwaNGhg7d9SXhlMBdhr7XGxdSHbmH3P66XkpWAqNhFRpye5RXkkZCXSvFoztiftwEHnQOOqjYhLj+fZwMF8/tvCe9pmK6+W5BTmcOTyr+y8sJtOtTuioPBb6jHyi/IBiEuPI8K/FwA7pY35P3Y0NYanaoQzsF5/iotVfjq/867XKKswi6OXY/gj4w/6B/RFURQSshI5l5UAQG5RHoPrDSKvKJcdST9ZrltGPNWcqhFRpxfGYiM/Xpu+Pzma9t7tCK7SgKuGq5zNPCcXRQhRrinqw9JD9r+gW7duzJ49m6CgoHJxPikpKezZs4eePXvesemQ0Whk06ZNtG7dWl5SJkr5NOYzSYRyaEzIaLnGj9l1ttq8GXr0sHwuKAC7m/prFBTA/v3wn//Azz9bprVpA507Q6tWUI7ebyKEuHfyYrJHmIeHB9WqVePgwYO3HXr0+ovLPDw8JBgQj5zqTtWp4exVanq2MYdTV09JAj3CnGydCHIPLHOe5WVi4i/LzoaFC2HixLLnGwwwcCDc+h6T6Gh47z3Lv4kTQZFxVYWQgKAc++abb7CxKV+n3KxZMw4ePMimTZsICQnB29vb+qbi8+fPExMTg4eHh7ypWDySLuVe4lLuJUmIcijXmCsZ//vFYIA9e+DNN+Hw4dsv5+AAISGlA4LrJk+21CwEBEiaCiEBQflVHjvV2tra0rp1a1JSUjhx4oT1XQ06nY5q1apJMyEhhCjv4uOhU6d7W7Z/f2jQwNI8qGJFyMqC99+31A4AJCVJQCCEBATiUSVNgoQQ4jH1xBMwfjw0bGjpD/DSS3BtVLJS6ta1/LuuYkVo3/5GQFChgqSnEBIQCCGEEOKRotXCBx/89fXMZkhNhW++sfw9bBgEB0t6CiEBgRBCCCHKtaIiuHUQCi8vmDat5IhEQojHhryPXQghhHjc/fmnpUNxYqKkhRCPocfqPQRCCCFEude9+40+BLe+h+BmZrNlqNJ9+yzrALz6KsybJ2koxGPmr9cQbN5sGaNYUaCwsPR8VbWMaTxhgqUtYr9+sHKl5UtHCCGEEA8HrRbc3KBrV8vIQwAffQRGo6SNEI+Ze+9DcLcXnly3bBkMH37j72PHYN066NULFi+2fPkIIYQQ4r9vyxZL5r9KFdDpIC/P8ubiY8cs87285G3FQkhAUIZ7feEJwPHjJYOBm337LTRrZnnxiRBCCCH+u65etdQG3MnEiRIQCCEBQRn+ygtPNmy48fmrr6BPH0hIgHbtLB2WXn8dXngBKlUqtwkaFRUld5V46A2/KXAfcUreBFweLaxX3fr505jPJEHKqTEho+994YsX7zx/yBB49llJVCEkICjDvb7wpLAQZsywfPbxgd69LdWR/v7wxhswapRl3unT5ToguDWzJYQErUKIh4KfH/z8s6W2f+9e+PVXy7Qnn4TwcMvbi+3tJZ2EkICgDPf6wpOrV2987tOn5BjH9erd+Hy3EgohhBBC/H2bN5c93dERwsIs/8aPl3QSQljdv/cQGAw3Pt9aA+DsfONzTo6kuhBCCCGEEOUuILjZra82uPlvRZFUF0IIIYQQ4iFhc9+2dHO7w5ubDwHk5t747OQkqS7EI6xdRT3dKjmTay5GAxhVlZXJWfxh+O+NXf6UmyPhbk5oNXAwy8CmKzlogOeqVcDHwRaNAhtSs4jJKfmuFEetwgvV3ajqgDKrAAAgAElEQVRqa4OhWCXqUgaXCk233U8FGw0vVHfD1UZLQXExUZcyuVJk4t9+Va3LKCiYVZXJf1y2TgtwtCXS88YQyzpF4XhuAYsvZd713EZ5VcTTzgZbjYKDRiHLVAzAxxeucsVofqTvHX83fxpVDUGnscFoLuKXS/v5M+fP2y5fy7UWaYY0co25D8Xx13SpSTffLnx39nuSss/Ll4EQQgKCUtzdb3xevx7eeedGP4JTp27M8/SUVBfiEfdzRh7fXrE0/wtxtqe/hyvvJlz5r+zb1UZDuJsTMxNSUYHpvlU4km3Aw9aSiX7rXCrVbG2YULMSMTkpJYMZNz2pRhOfXEinqYsDvau48MmF9Nvu65lKzvyaY2B3Rj5tKjjSo7Izn1/MYOKZG5n/1hUccdCUrPmMzzeWWOaF6hXYmZF3T+f3f39ajucJJzuedHXki4sZ5eKe8XL2IrjyE2w6uxlDkYGKDhXp5tOFNXFrKTQXlrmOr6sPBaaC+x4QKIqCemtN9j2o4+bHpbxk/Cr4SkAghJCAoEz29jBlCvz733DuHHzzjWWkocREePfdG8v5+991U0eOHOHll18mPT0dR0dHRo0axYgRIx5IAoSGhrJt2zbcbw5o/kt27tzJ9OnTS+y7Xr16zJo16563cebMGfLy8mjYsGGZ8w0GA8OHD2fNmjXl5qa92zmL/zaVrKI7l1zXdbSlv4crqgrpRWaWJWdgKFaZUqsy6UVmKuq0pBpNLLyYgQL093DF39GWYhVWpGSSaCiybksLbErLpvBafu6K0YxWgWxzMTvSLRnHK0UmzKqKAtyc7SsGjMWWKYXFxdwtT3jOYORkXgEAFwtN1HcqOQKLo1ahmasD885fvX0m0tGWwmKVhJvOAaC6nQ0RlV349FoAMMarIt9cyb5jjcWjrEnVxuy9+AuGIkt/s3RDOvsvHcDexh6d1pYO3u2w19lRYCrkwKVotIqWGi5euNm7sTXhBzwcPWhRvRnFFHMuM4GDyYcAhTCvVlR3qk52YTYV7d1Yeeor7G0caOcdjrOtM8ZiIzvP7yKzIJO+AX04nX4aTydPErITcbVzJfpSNABDAgezNn49LT1bkFWYxdHLMSWOX6PRUtPFm2/PbCKiTk80ys8Uq8Xy+AshJCAopW9fS0AAMHBg6fmzZ9/TkKMDBw5k/vz5dO7cmatXr9KqVSt8fX1p167d/yyhTCYTNjY29327bdu25e233/7b68fHx5OamlruMsfFxcUoioJSRp+T8nrOf9f06dN59dVXqVChQonpmZmZfPzxx0ybNu2+7zOsgp6GzvZoFQU3Gy3/Trxz7UBzV0eWXsogqcBE/6ouPOFkz6FsAzXsdaxOsTQ3erlGReo42uKm0+Ks1TDj3BX8HW3pUdmZj8/fKMVPNxWTnl1AkJMdHSrqyTaZuVBgsmb821fU86SrI9+l5XBrfn/H1Vym+VShsYsDrjYa3rlLrUZ0liXz+lw1V/wd7Vh4sWRtwtMVndiVnof5DoFFt0rORF3KeOzvU3eHiqTml0zvMxl/APBEpfqczjzNibST+LjWJsg9kJ/O7+RC9p+cuHoSFZVWnk+y9vR6jOYiOtfuSB23OpiLzTjqHFkT9zU1nGvQw68bAM2qhZKSl8KWc1vxca1NW68wNv5hGXlHUTRsTfgBext7etXpQfSlaDz0HqQbrmI0F7Lv4n7UMjL6NZ29Sc1PJb0gnWxjNl7OXpyXWgIhRDlxfzsVh4TA55+XPa9XL7iHUn5VVcnIyMD/Wk2Cu7s7K1aswPNaU6O5c+cSEBBASEgIY8aMQVVVtm/fztNPP01wcDDe3t7MnTuXTp06ERgYyOfXjqdbt24MHTqUwMBAGjRowC+//FJiv1lZWfTt25eAgADCwsI4ceIEYKlB+Pjjj+nTpw8XL17EwcHhgV+U5ORkRo4cSf/+/RkxYgS//fYbAJs3byYyMpJnn32WVatWkZmZycqVK/n+++85cODAXbd79uxZhg8fTp8+fXj99dfJz8+nuLiYefPm8dxzzxEZGUl0dHSZ+7rVoUOHGDBgAAMHDmTcuHFkZGRY1xswYAB9+vRh87Wh79LT03nllVfo168fY8eOJSMjgzlz5liPOTU1lcjISAA+/vhjFi1axODBg8nMzGTatGn06dOHoUOH8s0335Q657LO6XGSmZnJRx99RHh4OJmZmSWmh4eHM336dHbv3n3f97snM49p567wr7OpLPgznbHe7nf8MlmZkomrjZbO7k7U19tjcy3QyzYVW/seJBcW4ahRCHC0JTbHUip/Ot/I/92mSc95g5G9Gfl42unwtLsRrP+WW8CezDzaV9Rjc0s82bmSM3F5hXyQlMamKzkMqOp6T+e7NzOfE3mFPOV2ow+UnQINne05eu1Yy+LnYEuWyUyGSUqSFZTbzjme9jvphgwaVH6CJyo/gVZT8k25VRyqoNFoaOf9FJ1rd8TF1pkqjpXxdKpOYlYSABdyLmA0W+6lavpq/JF5FoDEnPNUdqhs3db16QWmAvKLDLjZV8DfrQ7xGWcAKDIbMRWXrqWp4+bL2cxzACRkJeJXwVdyEEKIcuP+F3n/v/8HgYGWJkM7d0KdOtCzJ3TvDi4ud//RUBTeeecdmjVrxlNPPcXTTz9N7969cXNzo6ioiI0bNxITE4OjoyMNGzYkKcnyY5CQkMCxY8eIjo6mU6dOJCQkoKoq4eHhvPjii9Zg4+TJkxw5coT+/ftz5swZ635nzJhBSEgI69atY//+/fTu3Zu4uDjAUjuwceNGiouLSUxMvL8Zqz176NOnj/Xvt956i7i4ODp27EhERAS7du3i22+/JTg4mPnz57Np0ya0Wi1vvfUWgwYNYsiQIaSmptKiRYu77mvatGlMmDCBhg0bEhUVxUcffUSvXr04duwYy5cvJy4ujp9++onmzZuXua+bS+t/+OEHpk2bRr169fjggw/Yt28fjRs3ZunSpaxatQqTycTAgQPp3LkzCxYsoFWrVvTt25eFCxeycePGOx5nfHw8K1eu5NSpU9ja2rJ+/XoyMjIYPnw4ERERJc55yJAhpc5p6tSpj80DXKFCBXbv3k3btm0JDw9n165dAISHhxMbG0tUVBRt27Z9oMdwMq+QfHMxVW1tSDaW3dzlVW93kgxFHM8tQHdTe/s8s7mMUgpLJ93rXHXaEp1pPe1scLXRcDLPyK85BdSw1xGot6OiTstlo4nLRjO7jfk0dXHA086GpIIbx9TAyZ5FF9PJNBXzU3oeXSs5Y6fAmBqWZns/Z+Rx5KYMfls3R37JzCfBUMTFgizer+MByZZ59ZzsOJtv5E6tjhq72HM8t/Ce0tFWU75HYEsvzKCKY2VS8m7062jnHU5K/mX0NnoqO1bm5NVT/HblGP5udUqsayo2kZR9gV3nLfe3JWBQaFn9xveeRqNFo2iuhRg3NRVTQUW9NhVMxTeabp3NPIdvBV+8XWrwy6XbF6poNVpqutTEza4iT1R6AkVRcNLp2S3NhoQQj21AcLsXntz4VobWrS3//qZRo0YxePBgdu3axebNm5k+fTrr1q2jRYsWbNiwgY0bN/L777+TkJBAYWGhNQPk4OCAv78/ISEhVK9e3VLaU3Tjy79v374ANGnSBIBLly7dKAHcuxdnZ2drqXVCQgI5196ZcD3DrtFoqFq16n29AGFhYaWaDDVo0IDY2FjWrFnDnj17cHOzjFYSEhLCG2+8Qbt27XjnnXfKbE5zOwaDgYSEBJYtW8ayZcvIz88nLy+P8ePHk56ezqxZs2jTpg2jR4++p31NmTKF6OhooqOjOXDgAD4+PsTGxtKkSRNrLcqGDRuwsbHh119/tQZlkZGRmEwmPv7449sea9u2bdFqtdSvXx9nZ2e+/fZbTpw4QUFBwT2d0+OmYcOGJYICwBoMDBs27IHvv5JOi7tOS5a57H4EWgUq62yYm2RpZ9/B3Yls0+37HJw1GGnobM+vOQX4OOgYUNWVWYlpJbbXp4orsxOvUAz4OdryU3ouVW1tCHa2Z2VyFk5aBQ9bHRkmMzaKZZQfQ7HKZaOJBk72pKTn4e9oS665mEIVPrxNH4AgvT0FxSrRWQb89Xak39RXItjJgWO5Je9JO42ls6rxWm70CSd7tqbd/t0rVWxtUABnGwVve125vk+PXo4hzKsV35/bSn5RPpUdK+Pt4k108mHaeYez/9IB0gxpNKrayJqxB9AoClcMaYTr2+Coc8RQZKCrTxeOpsaQkpdCbddaxKXHUcPJCxuN5SctOS8F3wo+xFyOwdulBmmGq1BG6HYu6xyD6w4kISsB87VaAZ1GRzGq9W+Ams41uZKfxsY/NlmnDaw3AE9nTy5kX5CchBDiMQwIHrAzZ86watUqpk+fTo8ePejRowdffPEFixcvxsfHhzZt2jBixAh69uxJTMyNTl9a7Y0qZp1Od5tYRVNiGfNNGRgHBweWL1+Ol5cXABkZGThfe6Ga0395qNQvvviCuLg4evbsyYABA9i+fTsAs2fP5ujRo+zbt4/Fixf/pY7COp0ODw8P5s2bB4DZbKagoAA7OztWr17N/v372bp1K9988w0ffvhhmfuyv2lo2TFjxlCvXj1atWqF0Wi0bvPmfhaZmZm4ubmVmF5UVERWVlaJY7s1E+/o6AhAdHQ0n376KQMGDGDw4MEcOXLkns7pcXRzUJCVlfXAg4HrfQgUFBy0ChtSs8m/TUN6swo7M/KYVLMSueZiEg1GnnZ34lCWoczl92flU8tBx5u1K6NVYHlyyaE6zxeYOJJt4F+1q6BRIDangNicQnRKIc9Vr8AMnyoowNepWWSbVJq5OvCkqyPzzl9l3eUshlV3o3UFPUZVZfFd2vavTc3i+WoV6OzuRGGxytJky/IKEORkx9rLJe/lflVduGo0s/VqLp52NuSbi8m5QwcDV52Gf9WuzGWjiZ8z8igsVsvtPZqYlYhe50gvvx5oFA1GcxE/Ju0kryiX2Cu/0aZGGEZzIRdzk6mm96Cqvgqp+amEebXmu7Pf88ulA/Tw7YZWoyUhK/FaRlzB09mTfgF9Sc5LJrPQcj0OJh+iXc2nqFPBD1OxiV0XdpV5TPlF+WQZs4jPvFFb3MqrZalOxXXcfInPOF1i3dPpp/Gr4CcBgRBCAoIHoUqVKixYsIDu3bvTqFEjCgoKOHbsGL6+vpw9e5aAgABee+01MjIyiI2NxWS69xE51q9fT5cuXYiJicFgMFCjRg3rvLZt27Jo0SJmzJjB7t27mTJlSql2+cXFxWRkZDzwEYmOHTvG2LFjCQgIYOnSpZhMJnJycnjxxRf58ssvCQ0N5bfffrM2l7oe2GRnZ6PX60sER9YLbWODu7s7hw8fJjQ0lMWLF2M0GmnUqBE7duzgzTffpGnTpvTu3fu2+woICLDu788//+T//u//AFi5ciUtW7a0NhkqLCzEZDIxdOhQ1q1bR3BwMLt376ZXr16sWrWKnJwc9Ho958+fp0WLFtZmLrc6efIkzzzzDF27duXYsWMl+gdcDzLKOqcxY8Y81kFBbGzsAw0GfkrP46f0v1YTs/1qLtuv3hg68rs0y+dp5250Ml2feqMkfUVy1h23t/VqLluvlhyK0qjClxdLj/N/MMvAwWvBR4ap+I4jAt3qitHMe0mll1eBSTcNK1rWcV8sNJWo2ShLXJ7ROszorY7nFt5zc6NHxYm0k5xIO1lq+vns8yU66B69fBSAy3mpHE/7HYCErAQSshJKrFdN78HFnIvsOr8bF1sXqjha+goYTAa+P7ul1H7Wxa8v8bed1g57rT1/Zt94F8Ku87tL37+JO0pN+/XaMQohhAQED4Crqyvbtm3jlVdeIS0tjfz8fJ555hnGjx+PTqdDr9cTFhaGl5cXPXr04I033mDUqFH3tG2NRkNoaCiFhYUsX768RI3BxIkTeeGFF6hfvz46nY6oqKhS6ycnJ+Pn54fBYHigaTB48GDee+89nJycaNSoEceOHSMpKYlWrVoRERGBp6cnTZs2xd/fH5PJxNKlSwkKCmLOnDlMnz6d4ODgMrc7depU3n77bd577z08PT1599130el0rFu3jp49e+Lp6cn48eNxdnYuc1/XabVaBgwYQGRkJBUqVCAoKIiVK1fSvXt3+vfvz7BhwzAYDIwcORJnZ2fGjh3LjBkzWLNmDRUqVGD27Nnk5uYybdo0Nm/ebG3edavOnTvzzjvvsG/fPvz8/KhduzZfffUVwcHB1nMu65weZw0bNvyfjb7k72hLPb1dqelpRSZ+yTTIt624764WpBNUKYi6Fetib2PHz3/uued13ezd6FK7MweSD17rYyCEEI8vRf07b2d5BHXr1o3Zs2cTFBT0QPcTFRXF8OHD/yfnuG/fPmrVqmVt9iTEvdyjI05dkkQphxbWuxFofxrzmSRIOTUmZLQkghDiH9NIEpQfNjY2EgwIIYQQQoi/lod8XE70m2++eSAvFnuYNG/eXO5oIYQQQgghAUFZbjfykBDi/7N353FyVeW+/z9rrT1UVY/p7gyEhEFIAJlkuiCTIMMFRTgiyMuBgwfwpyiKKIpcFTgqqD8vqHAURa44cRRED4oHVECUKyBhHo1AEoYAGbvT3TXuvdda949V3RgBDSFDJ3neL/IKne6qrt67u3p/a63neYQQQgixKZMtQ0IIIYQQQkggEEIIIYQQQmyKIjkEa97LtSwVQgghhBBiItpk2o4KIYQQQgghXkq2DAkhhBBCCCGBQAghhBBCCCGBQAghhBBCCCGBQAghhBBCCCGBQAghhBBCCCGBQAghhBBCCCGBQAghhBBCCLHRWWODyYaGhtbZg540aZKcOSGEEEIIIdYAWSEQQgghhBBCAoEQQgghhBBCAoEQQgghhBBCAoEQQgghhBBi0xCty082Z84cnnnmmVd8vzGGI488klKpJGdGCCGEEEKIjS0QXHvttdxzzz3/8GP22msvZsyYIWdGCCGEEEKIdUB57/2auKNVaTtaFAVZlr3i+7XWq7Q6IG1HhRBCCCGEWDPW6QrB3Xff/U+3DL31rW+lXC7LmRFCCCGEEGJjCwTXXXcdd9999z/8mH322Ue2DAkhhBBCCLGOrNMtQ9ZaiqJ4xfdrrYnj+J/ej2wZEkIIIYQQYs1YpysEt99+O08//fQ/DARvf/vbqVQqcmaEEEIIIYTY2ALBjTfeyF133fUPA8FBBx0kgUAIIYQQQoh1ZJ1uGVpTNtQtQ957xg63Ukq++4QQq/1copSaMM8jY89t8rwmhHgtzyNj10fyXLLuRXII1h3nHPfffz8vvPACWsuQaCHE6mk0Ghx11FETZohjlmX86le/ktVdIcRrukYaGBhgr732Iork8lQCwUasKAq++93vUqvVmDlz5oR7fA888ACLFi3izW9+M0mSyAkTYoI+j1x++eXMnz9/wgSCWq3GiSeeyOmnn75KjSGEEOLvLV26lGq1ypVXXimBQALBxk1rjTGGE08+hTcfsP+EWxK74ooruO+++/jc5z5HZ2ennDAhJqBGo8HVV189oUJ7kiSkacq5554rqwRCiNXyyCOP8NWvfhVjjBwMCQSbhrqFFoYOM7H2yWmtUUphjJF0LsREfdKOogm5v1YpRRRF8twhhFgtEgTW8zWgHIJ1r5Z7ltdzqrnDuRcLjYUQQgghhFjX5KWc9SDWUC0cvllAKaIj1kg9vRBCCCGEkECwiUiNoiNS1HKH8wUKQ2cip0IIIYQQQqx7smVoPcgcJEbTEWlqhWNRvaCeFXJghBBCCCHEOrfGXpbeUIeFrQ/OexrOkxpFJ4pa4XmuXrAZUIkNWgZyCCGEEEKIdURWCNYDhQfvaTlPbDSdsaJpPYvrBbXcSpGxEEIIIYSQQLAxW960ZIVDe0/mPJHW9CSa+ngocHKQhBBCCCHEOrHGtgwNDQ2tswe9oW9PGs0sC2sFm1UM5ciQAbGC7kgxnHuer+dsjqdDCo2FEEIIIcRaJisE60FqNK3C8kK9YDQrKKwn92C0oitSZO2agpFWgfMyp0AIIYQQQkgg2KiUIkVHrMmtZ0nDMpIVFIUjcxAZRUccQsGSRsFoZpE8IIQQQggh1hbZk7IeZNaTaoWOoVZ4ljYKrIOexENkiLSis/2+ZY0CBXQm0n1ICCGEEEKsebJCsB7Ucsdo4TFK0RlrvFcsbeQsa1rquaXwoHQYXtZorxRU29uHhBBCCCGEWJNkhWA9qBeOkSzHOUMl1nQkinquGcksDk+BpzMyJFpRiaFeeJY0LQ7oSiK0AiWrBUIIIYQQYg1YrysEd9xxB4sXL+app57i5z//OXmebxIH3QL1HEZyRzV3WOupRAqtFdXMM9wMdQUN69BKUTaKloXlLctobrGyUCCEEEIIIdaQ9bJCUBQFl1xyCfPmzWPFihXsvPPO/O53v+PQQw+lp6dn4z/qHpyHZuHx3uFiRTlSpFqReU8t91hnsQ4641CEXIqgVcBgswCgEmsSLTu+hBBCCCHEBhYIRkZGOO+88+jv76e3t5dddtmFW2+9ddM66u1X+L2HlvVYb3HOk0YqtCS1nnrhcT5sIXLeUI41qYHmeCiIIILESCgQQgghhBCrb51eTS5YsIDTTz+dWbNmsWDBAu68806uvvpq9thjD7bbbjt++tOf4tzEm9LbaDT4yEc+wg477MAf//hHAJ566ine/e53s9tuu3HQQQdxww03rPJjH9v+7wDrobCeam5p5pamtcQaYq1oOU81c1QLRz13WO+JtadlYUUrTDRuFU7mFAghhBBCiA0jEFx99dUcdthh3HLLLSxYsGD832+88UZ6e3tZvHgxjz322IQ6QNZafvjDH1KtVtlyyy0B8N7zqU99iilTpnDttddy+umn8+EPf5h58+ateiBQYduQ85B7yF1oM1ovPA3rUcpjtKJpPaOZpZY7mtaFDkTK0yxgJLPUCkfLSigQQgghhBAbQCD49Kc/TaPRYGhoCIAddtiBKVOmAHDXXXdxxhlnsNNOO02oA3TbbbcxZ84czjvvPNI0BWD58uXccsstnHTSSWyzzTYce+yxzJw5k9tuu+1lA0Wj0aBer9NoNCiKgkiFvVpaAR6sC6GgaaFROFqFp1V4nHNoQq3BSB5WCTLrcN5jvafZXlloFI5G4aQtqRBincmyjHq9Pv7cJoQQQgLBarnwwgs5/PDDJ+zBef755/nJT37CBz/4QQYGBlb696Io2GKLLcJB1Jptt92WhQsXvuQ+br31VnbddVemT5/OzJkz+cEPfoD1EClIdQgFWkPhwp9mAQ1raTkonMc6j1aeZuEYzkIoKKwH72kVjnrhGc0dmfMSCoQQ6/T5e/r06UyfPp1tt91WDogQQkggWHXlcvll/z2KIqJo4oxFsNby3//932itcc7x0EMPMTw8zJNPPkmr1QJYqWbAWosx5iX3c9BBB3H//fezcOFCnn76af71X/+VpoW6DUXFJRPCQaLb24cs1DKoF5bMegrvKZwDH7YGDeeOauaw3qEVtIrw9mhmadmwUmAlFAgh1rJzzjmHhQsXsnDhQh5//HE5IEIIsQFb51fgJ554IieeeOL42yeffDInn3zyhDsw3nt6enqo1+t861vfIs9z5s2bxzXXXMOee+5JkiTMnz+fyZMnY61l7ty5HHLIIf8w6OR5ThzHKELNgAdiBXF7hSDS7SJjB7UcrPN0RJBGYW+R9yEArHBgUfQkCg3UWjl5rqCSQhLut2Q0kZbhZUKItSNN0/FtlEIIISQQbJSMMRx99NEcccQRAFSrVU499VROP/10dtppJ44++mguv/xyurq6uOOOO1i6dCkHH3zwKt13rCEx4cK/5SEGFCEQKBe2EOUWag6s93R4TyUOF/fOezJrGWoqPFBRjovP/TSDy5bx5cv+D0qV2oEGSkYRaSVTjYUQQgghhASCV0spRalUolQKF9haa+I4pqOjA2MMF1xwAWeddRbHHHMMU6dO5Xvf+x6bb775qh10Ff6ov1kR0Crs31IaaK8WFB6aeSg6tu1QYJQndxDhGWwpmhTMueNPLFn4LI28YLBpUYBKFE0LpbGgIaFACLEWtaznpoVVjpldkYMhhBASCDZOnZ2d/PKXvxx/e9q0afz4xz9erfvqK0WUY01WOKyHrL19yCtQHrQHqyHyYC1kNgQH5x3lSBGbsOVIO8dwHoaaocJE49w5lrZgQEE50ixatITmyApev8P2L1vjIIQQa4LH8+CyFtN7G+w1pSwHRAghNiAy5nY92KonZZvuhO40IjaKkg7biMZKgVW7LalrnyGjwipBNYfRzNPMw4lzzpE7hyNsEWrkjtQonPMsb1qG6zlfuuCL7LLzTgzXGtKBSAghhBBCSCCYCPpKEbMnldhuUspAKYQC0+40FBJBqCNI9ItDzJQC125LWs3DDAJ8KH724X9Z1iyoFq7dscgzkltaNoSApnW0rCfLc1qtlgwyE0KsFY8NtRjOrBwIIYSQQCD+EQV0xIatulNe319is86EJNIYDakJe/49IRSU2mfIE1YMCg8NC/UcWg4UHqXCCsFoZllSKxhuWRKlxgeYAbSso5blfO78f2f27NkySEgIsVa8rjumM5JfLUIIsSGRGoL1YCSz5NYTG8VmHQkVo6kYzfPVjBqWEqFGoPDgFFQiaBRgCbUEyr/4duJCGIAwyKzaHlLWLBy9yYv7kJq5I84dS5ct55lnnpHtQ0KIteL2RQ1uX9TgtB0n0ZNI3ZIQQkggEC/rhVrOs6MZfZWIzljTW4p4fazpSjQLRrPwCr9xREBhQzgotQuJcxdCgQWyIrzdrikm1mFeQW5hWdPRzAsyG4anNawndR7XzgG13FF2Hq2kA5EQYs377mND/M+ZneNvawU79pXkwAghxMYcCCZNmiRHcxXlzvNCo2Akt/SXIvpKEZVYs1VPSiVSzBvJWNoowHtS4zFATuhChALVnnLsCF2IHGEhILOeSqLweM3WlUMAACAASURBVJzzjFhH3b64Zahl3fjKQC13lHJLR6wxSCgQQqxZhYf/fqY6/nZqlAQCIYSYoGSj53owUDJ0J5qGdSys5Tw10mJxPcN7z/TOlDcMlJnRmZAajUURG0VnpEhN6EZkTHuOAWGaMd5jbcH8efNoFBbvwzyDUHAcAsDSWs5wqyBrBwStPLXCM5y58ToDIYRYW1rWc9mjgzy0vCkHQwghJhjZMrQedCYR0yoRI5lmJHOM5I6G84zmjv40ojMxvGGgxBMrNM/WMqqZBRQdURhIphU08Sx58kmu//aXqFdfoNKX8B8ffQc77XsEx5z2KSZP2YxWdZhGLbxCd9MNv2Svfd9ErZUBkBWOEo5mEdqU9qQvfZxjgUIpmXYshHjthjPHDc9UueGZKolWnLJ978q/kLSiI5bXqYQQYoMNBENDQ+vsQW/o25MK54mUojvRaGepeU+tsCzPoNbI6U403WnEjIoixvCMd6zICqzzGAUVA0W9wW++9/9jJr3AqT85hamzprLwoYX8/tLfc923v8ph7/kgN3z3qywf/Au7vX03bvnNpfz+v66ktqwGwA++fyXbz5rFgW9+M7lStHJFPctXepzPPvssN954I0ceeSRbbLGF/LQIIdaYzHkue2zl3xtTy4Y9J7/8ULOd+2W7kRBCTPhAIFZdNbNUc8cj983he9+5jMKFrT9FuzpYo0hN2CrkfegcVC8c1oUWo1opslbGkqUP8c6vH89mr98MpRRb7701b1Zv5icfvoYX5j3OpG0sx3/2WPq37Kcx3OC+X9zHzV+7GYALzzmLadM3Z5/99kfp8IrcU/OeZJdddqbZapEkCQ888AAf/OAH+eUvf8nMmTNllUAIsVYtbtiV6g7+1jPV/BVvt/9mFeloJIQQEgg2MErRKBxPzH+Kn//0J6t9NzsctgOTt5k8fqGulGLznTbHpLBw7gO8/aKPMHX2VJRSRGnE7u/YnSdvf5IZu8xgyjZTuOlrN3Hdz65e6T4f/8tfuOV3v0NrPT6r4NRTT+Wpp56iUqnIuRNCrBcPD7Ze8X0LRnLMP9lplGjFKTtI8wshhJBAMEH0JJpKrDnimLfz6JHLMVqRGIXz0CzCRGHnHDfd8GsuPPtjL+aI9t/Oe2qjozRHmtSW1+iZ3oNSYTVheNEwRbNAG83UbaeuFBY6JnXQPbWbKI3Y7djd6Nuyj6tOu4ql85aOf45arUqttvIrdEuXLuW5554bDwT9/f2USrJ8L4SYGKqF+6cfk2pFcxU+7mXDhFFoWSEVQkggEGtSZ2IYKEdUI009iXEOYqMwCjoI3Tia1vHWY4/j0KOOQStFpNt/8CwarnLQdjNZ9NdFzLl6Dnu/e286+zsZXjTMHd+/g5HFIwA8de9TzDpg1kphYcVzK5j9ptkopZi23TS22GOLlQLBK5k9e/b4/994440cccQRciKFEBuMlvN8/eHB1brtAZtVmFx6bVuSZvemchKEEBIIxIsUUDKaSCtSrajljsx7IFz0V2JFrBWRUmgdYb3H6NCBwyjFZn2Gs877IstWrODeP/6JZ+69lu5pXaxYOEJa9PO2kz/Gs/Of5JZLfo82mhm7zmBk8Qh3/uBOlFZstcdW4XEohdYvrrPve9hbqA8t5ai3vpWOUom/PvIoc676ETvvsRez3nY0lTRGq5XDgRBCbOz+7wv113wfe07OX/N9TEoNe7xC0bUQQmywgeBPf/oTCxYs4D3vec9KF6abRChQioiwWpAaHQqHrSW3Hq81aaSItSExjpHMkbWLjkvGY6KYD5xxJrVmi0efnM+nTjqBx3//BB/+8qXsstc+dA9MYfHSZVx72UVcfca1mASKVkHX1C7edu7b6J7WjfeeJfOWsOzJIXQU4YqCHfc5gKGnHuedp55G4z9/yDtv/xMAPfOfpPrznzH0qbPZ9vjjKcdSvCeEEK/GPUtf+/yFWMODa2mOw8nbS32FEBII1oObb76Zr3zlK1hr2X333dlxxx03uYOvlEJB++IfkjzshS2cx/mwitCZGMpGsSK3VDPPaO4pG0vZaDoqZXaetS2VcokoSdj90LeSxjGR0cyYPp1T/tcFXPEFx61Xf5/DT/kYc37zI+bftYCuyV0sfnwxv/3qb1k2f0UYe0yoX6gVjr9+85sc/ZXPc+OBs5l/2UdhqM7On72OXT79KZ7q7GLzI44gNZ7UqPGvYVW+ViGEEKsvd7CkYdfKfX/5/mVr/fFPLhneM6tnvRy7sd9XQogJFAj+Ngwcfvjh7LDDDpv8idBa05kokvZqQcs6mtYRe0WsNQMlTcVYhjNHvfA0nacjAo0fHzdd0Y4CTyMvMFoxuuR5Bhc+FZ6IZ27FVtvvwy1f/z33XnMP5UllttlvG6bv1OD+X9xPVrc8cNstVIqMrf70B27Yd1sWXPsBtAmrAQ8ftgP64Ivp+P6V/GJ4GGU0ilD7EP2TJ9k3velNbLbZZvLTJoQQm7ClTbvadRyv1cd27qMUSSAQYsIEgr8NA1tvvTWHHHII999/PwAdHR1sv/32m+zJUEqRRqGOoGkV1dyRt1cLUqOoxIbEaOq5ZST3VFuW319/HYtfeIGs2eQHX/ocORrrPcrDomcW8ODtfwDgqvNDt6Id/+eOHHbWYfRM7WH+XfO584d3ssdxezCw9QBzb51L6/YnSIEFl58xHgYAtDEsf+/eLP70Lzj7l//F8lfxdd14440SCIQQQqw3f3yhjpkgeWCX/hJTylLCKTbhQDB37tzxMACwYMECzj777JU+5sc//jHTp0/fpE+K0YqK0u3VAks9dzQKT2JCsXF3GlGKPYM4Hrjrz6wYCq+4/OrHV/7T+95yjy2ZuetMsnrGn674E3u8cw/2OHYP0s6UuBLz+EMLMc0cv3AQ9t565Rsvq5IDn/nCBWyxx17ECpSCNElQ7fCgUOOPc8ymHPKEEEKsf/cva06Yx/LEcEa6BtJJZ6x55zY9cnLFhhcIpkyZQn9/P0uWLAmfPIqIohcfQkdHBx0dHXJWCKsFsYLexFAyiuGWo2k91kMlUpSMYkpHynlfvIB77/y/PPGXx1bpfkeWjFA0C568/Um00ezyll0o94SuFVESod64DU8/sYTdPvEzHjp0B3xHCh70aIMZl9/GVcA3P/eZle7z59f/mrcecQSFg2Is1AClSE+YV2SEEEKIiWA4c2vkfpY07Fqt/fjYzn1/d10CqdFyAiUQvHZ9fX1cdNFFfPzjH2fp0qVMnz6diy66iP7+/k3qoDvnKIpilT8+BibFMJo7Grkny0MoMFrTW06ItcZEEfsccFD4iW3/4Drnmf/4XBY9t5Cd9zsIVxQ8c9cLPHrTo9SW14jSiLgcY4uwYuOdJ64kXBQbLom72f3QrzF0wp4w2mLKD+4gn7olg3ttwZvb9QPeh8/T09tHNStIjSJGUXhP7j1ZEVqlxu12qVrCgRCvWVEU+HYjgAnFg3MFzhZykoTYCFz8wJKV3q5EmiNmdq7y7bftSV7V5xvbPSLWD+XX0G+WoaGhVf7Y5557jjPPPJNly5axxRZbcOmll9LV1bXKt580acNsj5bnOWeccQaLFi1arT313kPLOawDFGFbjnP84tqfMTo6ytHvfDe027dqBYVzPDDnLhY8Ppc3Hfsuiixj7j13kvsqfVv0MfjsINsfvD1xJQZg8dzFDD47SGO4wS6dU9jnuafZkfCq/93Ac3vuTc/rX08aaTQK5z1GKaLIoNqfN1IKpcD6UPtAeKgSCIRYg4HgP//zP3n++edf1fPm2lStVunt62OPt70LHcneaCEE7D5QelUfPzg4iNaaK6+8kiRJ5ABuCoEAYOHChZx55pkMDw/zne98h6233nqTCQSXXXbZBvF4DWFysgOq8rMixIQyMjIyoQLBRHksQogN17vf/W4JBOvJenspZ8aMGVx22WUMDg6+qjCwMbjpppt44xvf+JrvJ7Oe4VbBaL2BAqb2dJAYTS13DGeWWu4orCc24WNHs4LLv/IFbrzmx9Sro2z1+l2YOXt7/nzDdeRZRhQnbL3bPhx7zlfonrIZf739Fn50zqnEaUwp0igVscsBR/COD3+S2VvOZOvuhEqsKVxYBajEmnKkKTw474m1omw0SoH3npbzZNYTZjJDyYSWqtIaWohV12g02G233Sbc40o7ujjrV3NISjJJV4h1xShFtAa39e8wKeWQzTvXy9fy6KOP8o1vfENO6qYWCAAGBgYYGBiY0L94FyxYwNDQEN57BgYG2GqrrSiVSjz22GPjxdEQVi123XXXVbrfUqm0RoqnO4Au56l2d9IoHJmHONIMVDR93rOiZRnNHfXcEWtPycIZ513Ae844m2N33Yqegam86+wLWfDowyx84i+87aT/j2VDw/QPTEYlKY/f9QdmHTiLQ884lK322oqn7n6aW75xC//9w2/T9+kL0Q3PlpGhuxRhPWSA0ZrO2KC1xvJiEZJR7dUGH0JB4cPKA7RnGegw4EwGxwjxj2mtJ+ZkdwVJqYOkLIFAiL83oyNCr4Xfb1t3x7xxamWjOEZlee7YdAPBRLds2TJ+9atfsXTpUrz3LF68mGOPPZajjz6aCy+8kKeffpq9994bgFmzZq1yIFijJ1ArehJD2p5PUCscmfNUIk1/KaISh1WE4czhlaOSJnSXQs3Aoqee5PrLv8bw8qUAzJ/7CMPLl3PLFRdjdcTTj/2B4y96O1vvvTVKKWYdsC1RYrj2E//F1d/oIo003bGmOwnzEfJ20UBqNJ8593N0lFJyB43CjbciNVpTUqG+IPeewnka1mOcJ1JhYrNWEgyEEEJMDDv0JvSXXtvl0j5Ty0RSSCckEGyYpkyZwvvf/37SNEUpxU9/+lN++9vfcsghh6C15vDDDx+fo7A+L2CVUpQMJDqiXjhGM8twZilFmq5YU67EVCLL8palVTh8uwvI4mcWcOOV3xy/nwf/9AcAnvrLwwBstddWbL7T5uNfm1KK6TtNJ+k03PS9S/7hY3rfGWexmY7pTjS5g6YNF/8lozFaYRRoHwqji/ZWopb35M4TaUViwlKoEEII8XJ6E81btlj7tSsDZUMlknabQgLBJitNU9I0BcL2oblz5zJ58mRKpRLWWi6++GKuuOIK9t13Xy655BImT578kvsoioJGo4H3njzPybJsrYUCo6ArMZSNYqhlaRSOlnX0Joa+UkRHbFjSKNCTB7jhoflYpfAoPnrckTz1179w0qc/z7y/zuW4Mz7DwrkP8dNvfZLGcIO0Mx3/PI3hBnkr57T/+Anb7P5GtAKjIDWweYdhs46UrkSTRxWWNwta1jC5pHFocu+pF45SNFY7oDCAMYrUQGYdLevJXPiTtCc3awkGQkw4zWZz/PmsWpW2A+Ll7Tm5xKEzOuVACCGBYMO2bNkyzjzzTObOncvAwADnnXceSZJw6qmnctZZZ6G15vvf/z6HHHIIf/jDH+jrW3mQx7333suFF17I4OAg3nvmzZvH+973vrV7Uo2mv6yo545q7hhsWcrW0xVrNqtEYbDZzM0Yzh3DtQZahVc+OsslSklEZ2eFbXffm+VPLWfOT+fwxn99Ix2TOqgN1bj76nsolTZn1t4HY9rTiSMdup0u96BthFcRAxG0PFRzS+4cfaWYWIP1UC88qXEkf1c3kBhNpD25bc8x8J48D8XJiVaylUiICeT73/8+V111FSD9wzd0U8qG0loaODUpNXKAhZBAsOHr6+vj0ksvZXR0lGuvvZYf//jHzJo1i4MPPnj8Y774xS9y7bXXcs8993D44YevdPu99tqLa665BghtRz/xiU+sk8etlaIj1iRGUc0djcKRW0dHbOhNw/JnuWWJXMLb33sSixYvRhtDrDVdsaHlPY2RBrf/nzt54bFF9G/Zx/KnB2ksLXHQe8/EGsPYpXnuwowEDyxrFBTO0bQRk5IIoxUt61ncyOludyHSCloWrPOh4Bg/fqGv26sCcbu+IG+vFuQuBINIQyTBQIj17tRTT+Xf/u3fgLBCsPlWW8tBWY/2n7b6haU796X0yIW7EBII1sirABvobIB/emGtNb29vfT29vI//sf/4Pbbb6dWq600XXlsO9DLXaRqrce3HWmtx19VXxeUUiRG0aMUJaMYzR0jmaVRKLoTw+RKRDnSfOBDH2awafnZD68EBcZoyi70ANppzzfzzKOPcf9/3cy/nf9Vttl9PyrTtiIHbPsbyAOZB1uMTS92WJeTW+hNDYlRKAcrWo7MhoLnxEDhwXpHahSpUS8JNLEORdPWh1WDsWBgFCRaE2kJBkKst18eUUTUHkKW57kckDXokM07mFp+db+et+iK5cAJIdZ/INgYPfbYY9x7773svffejI6O8vWvf50pU6aQpinnnHMOxx9/PAAXXHABkyZNYv/995+QX4fRiooOnYhGstCJaFmzoCvW9CSakknpiC3diWlfiCuaPgSX/qnTWPbcMwAc/C8nEKdl6jmMWsg95EDaDgUF4G1oJ+q8R5Hj8HTFoQtRrDy1AgrvKXtDasCgaFqP9Y6yUStd4CsVthSNhQPrXChO9lBYh7FQihRGqU0uGHjvqdfrRFFEkiQSjIRYT/afVmH/zSpyIIQQEgg2VnEcM2fOHK666ioqlQr7778/73nPe5g0aRKtVotzzz0XYwy77ror3/72tyd8D12j1fgr9qO5pZo7MgddsWZKJaI3DQXJYVuPa9/GsPUOO2GMwUQRkVZ0JRAVnmoBdQctICZMNnaE7UCuPZzMUeA9VGJPqhXGK7z3OF9QOB1CgQLnFdYpSpF+xS1BRmsqylO0ZxlYD7XCEylPohVmE5plUK/X6ezs5EMf+hDf+MY3xl+pFUK8srJRTH6Vr7zv3Jeyc39JDp4QQgLBpmrWrFlceumlL/u+iy++eIP8mpRSdMQhFNTatQWDLUcl0kQ6vG/zjoilrXYgiAwnf+ZCtFZgIpxXoDydqSaJHHEGo0UIBQmgx0KBA5+Dw2MJF/+dsaEUaZx3WB8KjK0jzCjwUCiP9aE1aWpe/sJeKUWsFFE7GBQOcuepW0/0N3UG0plICPH3ZnTGvON13XIghBBibQWCoaGhdfagN9Z6hXV64lWoIyi1txFVc0etcMQaplZiUhNmFVQHl+HzFqqjCwN4Bc12QXCiFf0lSDLP8ixsHzLtPwWhy5DPw/YW6y3OhbqDSqSxFrx3OA0OjfVhMJl1kDtH4aAcGcwrDHJRShEBkYFEq/H6gsJ6dPuxxVpalgqxKTpyZufLdrcpR/J8IIQQazUQiA3L2P78UhS26YxmFg80Cs9Nf/gjn/rY6QD85uofcdfvf8PpX7iI3Q49igjoTBQjmafhPKmBvrKhFFkW1xkvNk6ArB0KXB7+DW9xCgoHXTG0Co0zYbWgZBSFgVR7vFMMO0XmLV3tlYtXWi2AsOWorBWp9+NzDJo2/H+pPSFZ9tgLsXFJjeLMXfrlQAghhAQC8fe897h2h6BXo2Kg08CjDz/IHXfeynbHbsdJ7z2JuBTzwC8f4OL/dRqnt1rsfcQxGK+ZFDlGc2hknkwVlCLNtJJjeQtqNnQdGts+1ASs13iv8N7hncMTk2qHI3QRQmkir3DtLT+p9jRyRW49nbGmFOl/OrlYK0U5UiTtVqWF8zTawSA1ofhYZhkIsYG8aAHM7IzZfaDE9pNSOSBCCCGBQKwqay3f+ta3WLx48au+7f3338+jDz3APifuw1s/+9bxC+cDP3AgRVbw0//438yf+xgeiLQG72hYj/OgFSQqtBKtFqE+QLd/qVvgsA98EqcSrAv7/pVyYaAAHucNHk+sPES63UUIEhMCzgrnKVlPR6RJzT9/td9oRVkrrAsDzsaCgSbUGMSaV9yKJIRY997QX6Iz1n/3cwxvnCrde4QQQgKBWK1AcMUVV/Dwww+v9n1ss/82L2n/ucdxe3D9+dfz9BN/Xa37POKUj0GcUHdgMyh8Efb4xppy5MkKjzUKZx0VrSiUorA+tCvFU89fHKzWEetVqg0wWqE9xEpR+FBj0GqHhMip8c5EQoh1L9bwti27gNBDf21NyhVCCDGBA8EjjzzC7bffzvve977xwV3itUuShJtvvnm1BgVdddVVnH322dSW117yvhXPr2D7HV7Pf3zncsqTp/NCNWM4syhgUqrJnGewWdAowqpAdwK1HIbzUDPQXSlTKGi4UFeQZ1A4S+Yd3Sqi14SC4ozQNag7MmigkTsKrSgbyBwUmaVZOHrSMNvgn1FKYRQhGGgVQoH1ZP7F6cepkeJjIdY1rRSze+W5XwghNulAcOmll/LEE08wf/58Pv/5z0soWEOUUkyZMmW1btvb28uUqVN48GcPMvvg2fRM60FrzejSUa4//3r2P/Awtn/DnqSRZkbuWFjNWN60eDzTU8NUH0LBaOaxwGQDXXnYQtTykCro1GF2gQVGCrB1T1HktBLDpJLGeA0eqoUjMZAoRe6gcKEOINLQ9J6s4elKNJXIYFahLmCsiDo1ili/OPl4rDtR0t5KNBYMpM5AiDVrSjl0/dl7Spkd+6SvvxBCSCAATjvtNM455xzuvvtuPve5z/GFL3xBQsEEcMD+B9Db28s1p13DjL1nECURLzzwAjv07cBZZ36cyGia1hMbzYzOmMQoltQty5uW7ljTX4pItGNFZmlaiCLoJISC3ENqoEtDvQirAbWxLUTO4rynK4ZSpEmVxzpFrkMXIe+hUTgio4lV2F880rJk1lOJNInRqxQMIFz0p5Eibq8SFO2tRJmDWHsiHVqaSigQ4rWb2RkxtRxx6IxOORhCCCGBAAYHB1mwYMH428cddxxXXXUV99xzj4SCCaK/v59zzjmH+x+4n2PffiwHHnggn/3QZznggAPYbLPNwhCwwlHNHUopBkoRiVY8Vy+oFp5KpOhONGmkGGxYWs6jDXTQDgEW0ihsKWoUYQtRw41tIXI4355DEGnKkUahMQY8oZg4d54cSDxYpXDekTtPJfKkRpOYVx5K5r2nKAqstaRpilaKRIetRIXz5I7xFYNIjQ05k5alQqyOsRqByeXoZWcCCCGE2EQDwVe/+lXuuuuul33fPffcwyWXXMInP/lJOSsTIBQcduhhAOy777684x3vIIqi8V/yPYmhbBRDrTC7oDM2bNkJz9UsdetwQKo1kyuKoWZBrfAoDR1RaEnaLKAUQ2cMpgj/VgDDBeQNx6QSKBVWFDq8wgNlo1DKQ/iPegGx8RS+XTDsocN5chc6Eb1cfYFzji996UtcfPHFPPfcc3R0dIxvJYp1+GO9omkduYfceowLswwiLQWPQrwaUiMghBASCF7W9OnTKZVW3jvabDbH/3/27NlyRiaIsVfFtdYv6TgEkEaGAa0YzRw15bAoplZgeQMaLkwLNlrRW4qIckstc+QKygoaOdRzcAbKUdgSVCtCXUHNQlGHlrX0ta8lcqtwiacca2KtsD5MKG7Z8HkLrYicxTtNyXkKr8ndi7MH/vZxN5tNhoeHqVarVCqV8X8f+ztS0KkNufNk1mO9p1Z4ImXHi48Vsp1IiH/k37brZWpFmtgJIYQEgpfxkY98hI985CPjb3/3u9/lJz/5CQAf+MAHOOaYY+SMbEjfPFrTk4YuPVXtUBhs6lGZo2U9ynm0VnRGGg3UC0+GR8UhFLSKUBuQmrB6kLUHmmUeljchs5a+kqMSG2wehpx1RJpEKxyQmBAOCu8pCsitJYs0ZQ/OKIp2a9HYaCIF9957Lw8++CAA5557LocediiHvPkQ+vr6XvK1xVoRKSi8Gq8zCMFgbCsR0plICCGEEBIIXosf/OAHK4WBE044Qc7GBihMBw5FvWFrjcL7nCFncQqUD6EgjQxGOao4lPIooJlD3h6qHBsoKVA2tCl1QDWHzHp6U0tPqsBbrPN0J4bU6PBKPWAIqwvWe2q5o2UdLaPpiA0+gsI77ptzFx8/6yOUZpd413+8ixeWvsC/f+3feeThR/j4xz9OT0/PS742pRSxCqsGtl1nkDlP0d5KFIacSctSIf7WLn0pPalssRNCCAkEq+Chhx6SMLCRUCq8mt6VmLB/Xyu0yljWdDgFMZ5UK0DTqaGWORQerUI9QeZCXUBswnRiwrU/XoX3LWt4GjanL1FksaGwnorLKMeKwoeJxN57POC8ou4cw4QWo52RphIpTj3lfcw4bHPe8pm3ECcx3nm22W8brvnsNRx88MHstdder/j1pWlKFEUYBbFR5DZ0JbI2bCtK2l+zbCMSm7ptemIOn9lJJAP/hBBCAsGqOP/883n66afZaaed5CxMQJVKhXq9ThRF6FUsqFUqrARMq2hKkSYyGUvqBbkLg8W0UbScRkWKBo6W8ng8qggrBXk7FEQKch3+jjXkFkazUOTb6yzVeoPjd5z+qr+mE/7znSSlJDxWrZi2/TQm7TCJgw8++B/e7sYbb+SII44IQ84AEykSHwac5c7THAsGWhGbUGMwdjyE2JQYpSQMCCGEBIJV19XVJWFgAlNKUS6XV+u2Wiv6SlEYLKYVz9cKqtZTNoqyUWjl0RpUbsPnArBgHVgLWoeVgtyBclAyULRXCwZbntTDoe86mUgrEqOoRIZKrKE9V8D60GLUedAKli9fxu9++QvSjpU7npjIEJdi9ttvP3bddddX/Hpmzpz50q9RKUrtry93nsJ7mu0tRWPtSg1eQoHYdH6ZKMXruhM5EEIIIYFAiBd1RIYtu0Mb0KdHMxqFp2SgYhRNpfFeoZVFKY9XnsyCc6HQONKgdLvI2EECJDE0LTSIOP7sC6hEoX5hUiliaiVmoGRwPnQfqhehQ5D1UB1ewd23/5GHfv0Q+5283/hF+ornV7Dsr8v597Mu4Oi3vuUVawFeaYVEKYVRIXTEhK1LWXvIWe48RofAYJRsJxKbwC8TrdipT9qMCiGEBAIh/u6COdEwozMlNZoFIy2qWdgmVIoUGlDKoHF4Z6EdAKwHPMQqFBo3XfhT8mG1IHOK8LWYJAAAIABJREFUwkU0fKg1sE2HpaDwimkdCd0pdDqotguM9aR+zvjM57nka59DacUuR+3CiudW8Juv/Iate7dl5932oOk1qV69WoCxrURah4uisZaluYPCeWIVhqZp2UohNmIt67lpYZVjZlfkYAghhAQCIf7uYlnBtI4Eo+CZ0YzhzNEoQtFvRwxaGVCgrUURJhgXFpSBRENFQx1oOSjpEApyHbYXNdptR7NaQdM66tYxvSOmK4noTQ0tq2kay7Envo+8KPjuRV/hZ5/4Gf0Dk9n7oIM585xz6R2YgvWeRuHJVWijGq1mMFDQLqwOqwWZ82GVo3Ck412JXvx4ITYWqVEcNqNTDoQQQkggEOKV9ZVitFK8UMsZbDky54mUomw8Whm0UmgsXnmaeVgpyF1YKahoaPkwvdi7UGyMCt2JCgdew2DTkdmcRuGY1uHpSwxppIgSQynSvO/kU1jy3LN89+v/m2/99Dq233lXlFYsb1rKsaNsQvtU6z2x1iQmDE1bnQt31Q4WsQ7bh/L2VqLsb9qVSo2BEEIIISQQiE2K0YreNEIpMLpgJLPk1gOKRHlUrFEKtHLgHS0LhQ+31UCioCDMKLAuTCu27ZaltLcajWaO3IatQvVSTF85enFuQRpRiQ0AW86aDWqsI5CnlntaFlLjKRuNM5bC6/bFO6vdOUX/TTAoHOQuBKHceSINsdKhXkKCgRBCCCEkEIhNKRQYQovCeuFoFBbrFbH3KKNRhEnAw5mjkYftQ5EJocCoEAich5iwbz9vzyzQKvxds5DVLZmFRuGolSL6SxElFT4nQF+q8ZGmaT3Oe0oarPPU3VgLUSjHYe9/3p54nJrVLw7WKoSCWGtsu/A5d1DgMA5So6VdoxBCCCE27EAwadIkOZpilS+Oe0oxoFjWLDAqXCBnDozylACPoScGTag3sO1tQUaDcWEyce6hHIV/a9kQFKJ2q9HMwYqWpbC23RLUMSk2fPycz/KJT59DWi5jradpHbVC0bAutElVkHtPwyoy5ygZTynSWKPI3Yv1BXo1txFBmK8QaUPhHC0bOiHVCocZq1+QGgMhhBBCbIiBQIhXqzPReCJ0y4aZAi5coOd4FI6G13TFoJWnVnicBXw7FPiwnahRQEcEaQx1G1YLDKEY2XoYyaHwBbl1FImnKzF0JymJh8hoKloRGU8jD11SivZtlQq1CfXC07KWcqRIjaZwYfZBYjSRem0X7ZHWGBVmGOQ2tEmtF6GuIjbhh1NJMBBCCCGEBIL1Z+nSpfziF7/g4YcfxjnH7rvvzr/8y78wMDBAlmX88Ic/5L777mPq1Km8//3vZ/r06XLQXgWtFF1JqBsYykAXnkhBS3magMejLaA8WjkajLXybIcCwkV/tYBODb2xoqahUfjxWQbWw2juyZwdH1qWOU9HoelKNYnWlIwmUdCw0LCOzHridjcj70N3o9Hc07CWslEkVpNGnsRoEr36hce0L/ZjpYiUbxdRuzDorAirJbEKNQxKSTAQQgghxAQPBENDQ+vsQa+r7Ul5ntPb28sxxxwDwBVXXMHSpUs588wz+fa3v82vf/1rTjvtNG666SZOOOEEbrrpJkqlknxXvYqLYQ10tQt9h7FkzmCUxyhFrB0N5fGFAu1RcbjYz9tTjVGhA1HuYMSDV56+VFE3mqGWo2h3IzI6DDRb0nBkLmMKBkdCw1l6Y08pMsRG02kgKaCuPbXCYQuoxJoeEzoc1XLHiPWkxlN4TdM6SkaTGk2qeU1zBsIsA49ph4zcOVoOrA+diRKj2isXEgrEuntBpL+//xUH8wkhhJBAsEmYPn06J5xwAgDOOUZGRrjhhhsYGRnhoosu4rLLLuOoo47i6KOPZtttt+Xmm2/mqKOOkgP3Ki+ElYLuJISCkdyRKzBaY7TCaIi1Z0QB1qG0Jys8rcJjHRQ67MkvPIwUYVVhclmTaMNgu+PQyKKFtBp1Jm0xi+VNTcsWTCt7OtOYQQ8d1tGRaCJlSIyiW4dX7auFo5p5KrGiI9JUIk01c9QLN76NKLeelvGkRlE2mtio1d7mM3Ybo8BoQ+Jce+oxNK2nZX27Y5GEArH2HX300dxyyy1UKhVGR0eZM2cOhxxyiBwYIYSQQLDpqdfr3HzzzSxZsoQ777yTAw88kMHBQYaHh3nDG94AQBzH7LPPPvzlL395SSBwzmGtxXtPURQ45+SgvsLFcGccXokczR0FtFuQGiLlMVoxkoPPLF6DisLWocyGVqSG0HlotADbsEwtaaaUDcurBd86+0M8fu+f+cGDz+JUidEMMmuZbKGvHFP3ipbzdEaWwisSrSlHiljrdhek0Ma0Kzb0JpqOWFPNHc329qKW9bS0ohV5SkZRivQaeTVfa01J+faKQag1aNpQb5BZ+T4Sa1dXVxdZllGpVOjo6OD8889fKRBYa7HWAmE1VQghhASCjZZzjuXLl/PMM88wODiIMYbR0VGUUlQqlfGP6+zspF6vv+T2Dz/8MN/5zncYHh7GOce9997Le9/7XjmwL3cBrBQd7VBQzR3agYmgpUBpg1GhA89wy9L0Ht3ev98sQq2A0qE1abWAou6YWlZMLmmSsVfUPXREiqbzNC28ULc0Cs/UiqErjakVntwrCu3Hi4Y74zCgrJpbVmSWVqTpjkPYaFrNcOZoFY68vbUnM4pm4Si1VxRWZ+Lx3welsGKgsN5TtGcYNG0Y0OB82FZkvAw5E2vWSSedxJe//GX23Xdfms0m3d3dK73/Zz/7Gddffz0ARVHIARNCCAkEG6+Ojg5OPPFEiqLg1ltv5aqrrmKbbbbBe8/IyAh9fX1AqKHYaaedXnL7173udXz0ox8lz3OstXzpS1+Sg/qPLn6BznZNQb1wYQBZpKnlDiLNJB2RaljcCPUEBk9nAvUitB7VQGxCzcDzdUtf5Bi7TnYoCjydsSY1MJI5ljUdDeuZWjimVGIyG+YEFM6RGIXRYQbBQCliNHfU8rBa0J0YehJDZ6wZbjmGc0tmxwaOKTIXZiBUorCioJV6zRfsRim0hlgriigEp8K36x3wpCYEByHWhOOPP57tt9+e2267DWst3/zmN1d6/0EHHcSOO+4YflbrdX7729/KQRNCCAkEr87IyAjnn38+xx13HPvuu++EPDhjS+LGGKIoIkkSms0mm2++OdOmTePPf/4zM2bMoF6vc+edd/LhD3/4JffR1dXF9ttvD4Rl9f7+fvmu+2ehQEFXYvCEi2rnoTsN23RyNJU4YotIs7Ba0Mg9Hk937Kmp0IbU2hAKcgeL6pZWe9zxpNTQUIrcOsqRIippRlqOau5pFGG1YHpHQhIZMuVwShF7hfUKoxSdkSLShtGWZXkzrAxMSiP6SpqeVDPYtIzmIcTUnCUyisx5GtbTnYTi49faRlS1pyuP1RFoQKHIvScv/IsD1JACZPHa3Hfffdx5551stdVW7Lrrri957po2bRrTpk0DoFqtygETQggJBK9Oq9Xik5/8JE888QSPPPIIF154IXvuueeEOziPPfYY1113HVOmTKEoCu644w72228/Jk+ezPnnn8+PfvQjnn32WR5++GEOO+ww9t9/f/mOWkP+dvtQowj75TtjTUM5WlaDVUyvwLKWZSTzFN7SESmM8tTa8wh0uwNRe3cNnTF0xRGDmaVuPRXj6StpqoWjnocuRA3bYnpnTE9sAAUanPe4dgvTRCt6S4ZGEVYW8kZBtzV0J5qBckRn7BjNHc0idDlqtNuINturBWELkkavoTaikQ61F04p8vZ2otyFYBC9xpaoYtP2wQ9+kM9+9rMMDQ1x+eWXk+c5F110kRwYIYSQQLCGPmkU8a53vYvPf/7zHHLIIRO2f//UqVPZbrvtWLp0KXEcc8opp7DnnntSLpd55zvfSX9/P/PmzePII4/k8MMPJ01T+Y5ak98nKnT3gdBlB++pRBqDowYoZRhQGk3BUBYu3MuxItKe0Ty0J/U+DPcCeK5aMKPXM7VkGGw5mi4U7PbGhlR7qoVjOPc0RzKmpIbJ5ZhKrFFahTHIWtG0YXBY2Whi7WkUnqHW/2Pv3aMtvcoy39+8fJe11t67bknlRhKQq5xuSICImgEGUUHgCGpEIV4aBnQLerQRsYdcHDREBAFbbEa3o6VbxaMOugUPcvp4PQc9in1iEEVGY4AolwRIpap2Ve3aa63vMud8zx/vXGsHCAhki6nKfMaoUal9Wd9a39pVeZ/5PpfAMli2asesMlzoPcug8qJlTMQkJCOMg7AIiWllmXlL6+2X1Xj82TBAk5/PymPQJ/U0eGuojHYyFGJQ8KXgsY99LFdddRUPetCDAEogQkFBQUEhBPuDnZ0dbr75Zp74xCfyNV/zNQDc//7359JLL+W2227jjjvu4JprrrnX3JyjR4/yzGc+8/OSmic96UnlJ+gfEcboKffMW4TEEHX4nVQO5xI7faJ2cKR1VA62u0QSTfqpLZwehN0AeUHA2UH49CJwuHVcNrXc2euALgIHvKF2TmNFo/CpRWQ3JC6ZVmw1jmnl170GQxKMgcoYZh6GZDRxqBO6mImBt0yy92GeU4okl6INfWIRhIlTL0LjzL4M6zaXmPlsQF55GgKCS1BbW4hBwReN48eP85znPIeHPexhXH311Vx11VX3WnlnQUFBQcE5Qgh2dnZ4yUtewmKx4NixY+tUir/+678mxsjHPvYx/viP/5hXvvKV5X86BZ9BCipn2DSGs6hx1xloncO1lp0hYgwctAbDyHanMaStMxxuBQIYkxN5YmIehLCIDAKXTDxnjMacno6w5S31xFGPkbODcHoQFmHg0mnFwRZtVZacWmSELgiVg9qpt2AZEjtDZIhJSYS3bNW6CdCNQSQkJShdSPTRsAiJzcqy1Th8HtT3w2Ng1+3HmkgUBEJMuKT3xu3DtQrOb7z97W+n6zo+8YlP8L73vY8/+IM/KP82FxQUFBRCcM/w/ve/n4985COANv6ucNNNN3HTTTet//zOd76z/E+n4HN/UK3KhwyJPgreanvvgdpydgBDYqupEAkaBZrAxpFTH/0g/dkzAPw///VXePjXPo7LHvQwoEYEDjcWbx1nhshiFRdqwbvEAksX4Pb5yDxEjrSeg41HvKWyhtZpIdoggjU6aI9JtwDbXaT3iWmlxGCzdtR2VTCW8EAEhihsp8jumNisHdPKUhvtYLinw7oxRmVXRjsMhihEgXkQvFGfgbMUA3LB3eI973kPt9xyC1VVcfToUZ761KeWm1JQUFBQCME9w+Me9zhe+MIXctNNN3HjjTfS9z3PeMYzeN7znsd3fud38ud//uf81m/9Fq94xSvKu1Jwt6isYeotoIVg1ghN1uHvDNpSfKBxYOB0L/zFu/+Id/3vv8ClX3OQq579v/LpW3+P//nz/51vfOYP86gnPoXTXWRMwuHGcUHt2InCYgj8/q/9Jz798b/nX/7Uz9A6y+4obHeJLo4sg3Codcwqty4vAyEkjQC1Rr0PIQm7o7YMj0m9D43TToM+6sZgTIKzkNYkIrA7GmbeMcv9B/viMTDavKwbA9bG40UU/MpnYPfnWgXnD/7tv/23fMu3fAt/93d/pyV5bXuvknQWFBQUFJyDhADg+uuv56lPfSpN06wbLp1zNE3D4x//eK699lrqui7vyn0MIkLXdV/015okhJAYow6z1kCbhDEkujHRxkQdet7+n9/AVz/9Sh57w2NpN1u6sx03/fpN/MGv/Tse9DWPZ+IdQwcLb9iqNSmo73v+3//rndzyvr/gX7z4ZVRty0wSu2PiTAfzOZyuHRdMHK33bNaWzbah9Z6Aoc/m59oaxpjlOikyBDU8T73L5MCwCLotCEaojckNxEIXA2dHw2buOais2Tdi4I0mD9UuXy8JIV+3dtq5ULYFBaCxy9dccw2XXHIJT3nKU3jhC19YbkpBQUFBIQT7g8lkwnw+5+UvfzkA73rXu7jwwgv5xm/8Rpxz5R25D6Lrus9ofd4v3O8R9+Pqb38G04P62NODU67+9qv5y//2l7zk2gf8g9//nVd91Rd1nV/6r/8H3/QtT2LiLa4yDNHQx4RzhphgSIAkIpYxRSbOMq2MEpCghuRlTDTe0iD0QTX/J5aB3cHk9CK77h7YDymRA5w31CL0mRh0mRg0zuzbtQrOXfzwD/8whw4d4vd///fZ3t7m4x//eLkpBQUFBYUQ7B9msxnXXnst73//+zlw4MA6cajgvgnnHE972tO+5O8T0EhPUbmQzYbaJHDniROc5hjtZvsZ39NutvjG8/BHXUO1eYhccYAz2lsAiY/89XuZnznNNdd9M9jcGfBZ1wyif3AW2DzMyS6oB8BbWmepraWLgNELjCLEEElJ5URDUvmTGpL19y6olGfiDVEgJuiTcLLXjcGGV49BrmfYF1hjmHhDnWNKQy5S6/PGwOf7UojB+Y1xHLnllltomoYrr7ySuq558pOfTF3XPOc5z+Hmm2/mbW97W7lRBQUFBYUQ7C+uv/56LrnkEh75yEeysbFR3on7MKqq4h3veMeXTghE8/Z1kE45c9+QgI987OM887ufxO1/czsP/PoHYoxBRLjt/bcT5olX/NIvUR++WMvIAngDrQeTRl7//Gfy4ffdxE/9h/+C8S1ihMoYjNFegyjC2TGuY1C32pozfWRM0FXCZgVTb9ioDH206/jPKGoqjiREDEGgSdppMMmn8n3eLghgnaFy2qcwJOH0EJmHyLRySNzfTHhnDa2BZLX1OOSNgTPau+BznGnB+Yl3vOMdvOlNb+Lo0aM861nP4vTp09x8881cfvnl3HDDDdxwww3lJhUUFBQUQvCPg2uvvba8AwVqeq2qL49MiFB5oYvaDIyBxhn+2YMfyFOf+HR+92f+O9/0om/iq772q/j7/+/v+aN/90c89tqncvn9HwiSmLWRT+1GdkbogApB8j6gx3Go8YwJhFXzr9Gug1qYB5iPgd2YiL0wim4C+pjYqBwz79istTCsy0P9EPTXaGAiujEYozBxhtZrsVntzNp0HJOh9dBglFhE4UwfGDuN7U1qWdi398EZsLmROSTdFPSi24PKmpxMVIjB+YZf/uVf5nnPex5XXnklb3nLW7jtttv4ru/6Lt773vfyi7/4i7ziFa/gwIED5UYVFBQUFEJQUHDvJBOtN7l8LKmUJ6lJ92U/+TLkxsRbf+C/sFwsOHD4MN/w9GfyHf/qxSzGyKxyHGx0AL/tbOBMD8uoQzbATh8xVeJAbYlASGCsGplHMWxWms5zNkQWIwQCSRzRWzXqVkKXLIcby4HasTsmKiMsQyIiLAI0FhqvG4RBYOosjTfUtfYa9El1/cB6ixBFWGYW0IXEyS5wwFgaq1uM1X25J/fUoMbjyupz67LPYMj39q4JSEVOdO7j2LFjPPWpT+XCCy/kd37nd3ja057GDTfcwG233carX/1qjh07VghBQUFBQSEEBQX3bkx8FtbHpNGaCIeOHOG1r/tZ/uav/4r/8Z738Jbf/j0O3//BLEJuGw6RibfMKs8DDxg+NQ/csaN+BIDFfJe6bYkCByqLMYYggkk6LCcRJl49BguT6IKwO0ZiEqR2pDESUmKMjs0atirDmAzeaiHZEHSwD5KYestyTIQktNlf0HpLlYTe5q2CSPY6GDbz640iLEJk7AITt+dLcPs0qBtj1sRgSCviIowBKqtbA8c9JyEF//Q4ceIEW1tbNE3DoUOHADhy5AhVVX3RKWAFBQUFBYUQFBT8k6JxBrD0mRSQBMxeZOf/8tAH09sK20fmow7wSEIqS+MdF7qO9/7F/83O8TsA+G+/8Fquevw38Yiv/wbibMbMGxprCAAJvAWDoXUWby3eBJYRllFIQ2TqDSKOmKJGkAZNDGq9obKOpU0sg24AksT8/A0xqY9gVjkaZ7XvwAh90v4F9TPra/JZxmOAZRC6qI+jEiSLM2b/iIHVLogxm4+H3LFQ2T2fQSEF5yYuueQSXv7yl3PllVfyl3/5l0ynU44ePcrFF1/MMAyklMpNKigoKCiEoKDg3g9rDI0DEcuQlBTEKGsJ0KHWM1iPwWCIzMdIF4UkCVtb/uidb+cdv/7vecwNX80Vj3oSn3jfbbzzLT/NzskTfOP138uuwOgsU29JSROHVkOyBZzxVCEp2YiJJBZJkegsCSGgTcazyjLzhs3KUjlhMWr78jwkJt5SW4gRgkRap6lDjTV466isehT2pEFQWYuxBoMWoXUhMUSzfrzpPhGDtZQov+aYVjIi3ci4pP0LvnQZnHP4uZ/7OY4dO8Ytt9zCMAzcfPPNvOtd78Jay6c+9Sl+6Id+qNykgoKCgkIICgruXRARFovF5/3ckJOHhn5Yl+DZYUldJaYpsgyR5TjSjYlOYNckfvU/vZ7rXvw4Hv2dj8IYw1d/01dzwQPfx++94U1c8y3fhqscCwNnjeFA7eiswRtD5Qy1gWQ0ZbQaI11K9NGwMDCrtNG4cYa5NSzaln7SsOktk8rSWMvuGFmExGJMjNawWRtCgt0UGaKe+M9qnwmDYXAqGUpiMjExjIL6KUQYIgwpMQ5aqrbpLRu127dtgWGVgsQ6kSiIlpz5JLTO4KwtP6jnCB72sIfxsIc9jG/4hm9YfyzGyPvf/37+5E/+hKNHj5abVFBQUFAIQUHBvQuLxeJLjqu96B8Yai6/6nIe+viHrIdmYwwPefyD+ZP/8Me88OseuG/P/cb/+Ms86duvZ0yWWXLriNLaOhZBtwVnemFaaapRH9U/MEhg5i2Ns8xyGcEqDnRMgrOQsv+hzXKlUYQowpkxsRuEWWVpszl5v07xvTVs5OcwRL3ebhC8iepnyASibA3OLTjneNSjHsWjHvWocjMKCgoKCiH44rAyoRUUfCVQVRUvfelLv+DXiAhjiPzmb/4Gn7z9dn7kx36cqvI6DAN91MSfeYjc/olP8He3/QWu+sy2bFc5jDN83dO+kwMXXY4xWmJmjEqGHFA7cEbNxT7HchoMQZKmDaU92VJl4X4PeihBtD8hpsgolqlTM/BG7aijegvmo9A4ND1IYB7UQzD1Ajl5qMrFYtFYxpSys8Do9Yx+vjbamBwlcXaILHIy0yRfc78G9cpqkVlIar4OSVgG7TKorHoMbCEFBQUFBQUF5y8hKCj4ShOCV73qVf/g13X9wP/48z/nk7ffzk+89OVMphO8MUy9YUjCTh+5czny8WMneOF3P4GP3vxRHv7ND18XmX3s5o8hC8u/+qmfIbZbDElJgHNaZpZEh/ypt3nA1nSg1hmS0YF4OSrpCEkLwDYqzxgF4wSJQkRP1mdejcC1tVQ1LIN6EWIS2sqsuwHODJHUaw+BMVA7i7WWIRmGmIhkPzWQAMkdAh5L45QI7Y6JZUjrbUNt9898XDnwAjFvDcakUiKXn0dlTSEGBQUFBQUFhRAUFNzzwdM59w8TB++wuUjLeYe1FgE6sUwrQ+UcTe3w/mKe/LTv5Z0v/yX63Z6Hf/PD+eAffpDfe+3v8d3X/0v++RWXcPtu4HQf6JMO22LAWRgF5gEkbwaM6O8z66gbQ+0ibarY6QK9wDxCRNhIkco7TBI6SYwRNkRbjl0+xffGsDsKi1FoLEwrSxA4NaovYohCFxIbjctSIKubByBEzSJyVkvN1IBs2MiRpWfHpL6FkGid+iIqZ/ft/fF5Y9KIFpwNSYhRyU/jDLUrHoOCgoKCgoLzihCcOnXqK/akizyp4ItFVVX84R/+ITElkqsIaLNvTIlFUNnMRuW4bGb4wR/632gnLb/2Ez/PW7ffykOvegzf8T0/wtO/919QOculM49zcKaL9Dm9yKKbgiBwdkiEmJhWjiSOlPsFZrWjigmLZ3eMevIfDFEMM7QLwVs9zd8dImM0zCqn+ntr2WqUEAxJSKOmDk3zUN/FxHYXCOhJv7eGaZX1/GhPQRQlAkn0tD4ZsAa2GktI0Gcp0p3LwMRZppXVfoF9aiS2WdZU51SikIRlFPoUqY2mEllTPAYFBQUFBQXnPCEoKLg3whhD0zQAxCR0MTEiIPnPJNpMCh548RF+8Id+hPf8/u/yVzf9Of/mF97C0cuuxHirEZ7OcPHE44FTfdT+ALKPwEAAFhGGFBlTyqQAZmQ5kVUTsLMqBxojzAVGSWxk2Y6gPQYhaY/BxGsh2rSCIeqgvwhCyLHwFv3Y6V6JxmZlafNjeZOJQVKjr0FLxJLor5hEfQuVy7IllSh1XaJxhtY7GmeyZ+KeD+vOGloDadVlIEKXBCeStwl2365VUFBQUFBQUAhBQcHnwBponCWFRDLAyvgqiWll2awdF88qaqcD6UUXXwwWljERhwSVY+ItF08rvDWc7CJDTIioXKhGT9/7CKd7IUokCiQRpNI0oYONp3aWnUHL0YaUSMESY2KjUg9B5dQzvDNCn3TIb5zBOJUqDVHosmTozKkTjPMd6oOH6aImFM2isFk5Gm9onJp5NYZU1kZoQU3XXcylYs4w9Y6JV7PzIiS6GKitYVJpl4HdJ4+ByxuKStR8PEShFxhTwluNULWmdBkUFBQUFBR8xWakcgsK7iswWZ4y9VbTeHIcZhRhPmpCz2blqLJUZuYdE2fzEG7YGSPzkDDWcPFGxdGJo3UW60AQJQUWWgsYODMIp7rA7hA4PQTODkoetmrHha3nQGtprSWkREiJnVE4Oya6AJUBb3WjcbLT6zpraLzlg3/1F3zHE78OgHe+/bd43KMfwe++/W36XI1uLz69GNnpAyEJzhimlWOjsnhjsDllyRq7bh5ersvUYKu2XDzVzoM+bx/umI/sDpEksm/vhbOGxlk2Kt2gCDAk2A3qi9ivaxUUFBQUFBR8YZQNQcE9hoiQUjqnnvPECPM8ACNCNIazKeJSWH/Nha3lrGhKzzwk+ggpJGJIbNSWQ7UBMWx30KVEDALGUFkwUbTwbIBhjGzUgVA7xug40FQ01nCosvgkuAF2Q8TGSEqWEKD3lg1vqZwShpPTbc0zAAAgAElEQVSLyNwHPvY//5pXvvRfc/9vuR83/OZ308wa/ub//Bv+zU/+COMwcP2zvhdrhT5Gjs0NUx/YrB3TSk/4WyvZX6AeiJRTk5IIy0EYrKHLhuYNb5hYbTzug7C9jOz0hpnXJCVtP96f98MBUwdj1OfXibAMkTqnEp3LUiKTtx1l41FQUFBQUAgBkFLita99Ldvb25/zuWEYeO5zn8tVV11V3pVzDCEEXvnKV557zzvr2FdjmgAmJT728Y8D8ItveA2DWBYhEUUYc7qQM4ba6TZARE+0+5C0FExWshj1FwxRv8YZaD1UTmNFW6eymJB9DX2CECPG6Me9RVuQs65+JT36yAc/wPQhE57ysqdQtzUA1z73WuIYecPrXsPf3XqrvrbsEUjZUDzxuh1ZDaWr175+4Rm53iDLevR5GGBMmhSU6w2orN6Df4z40CTqkViVrFnIxuNzc6B++tOfzjXXXFP+oSgoKCgoKIQA4MMf/jAHDx6820Kp+XzOT//0TxdCcI4Sgte85jXn3ev69z/3xnvl8/qeX/geqrpa/9kYw1VPv4rffulv8/Ovf135gbyX4YorruAxj3lM2RAUFBQUFBRCANB1HbPZ7G4/N5vNGIahvCPnIJqm4fbbbz9nn38UmIeounpg2fWkGDmytYGzhj4mTvWRU11kZ4hqMo4Ja9W0u+ktE+8YknDncmQxJsaUtIDLWiojjCmxO0AvUAEbDjanFZvecbj1eAODCLtD5FQfWYwBMZapN4Ce8Iduya+/+Y0stneQJJi7xIKeueMMl15+BT/zH3+Z+11xJRu1ZbNyYCHlxuA+atpQ6wyHGrdOMALWm4qV8MuKxqCOSTcdtQVvVlIhlYktYmIxqjHbAK23bFQGb/ffmpSyAXq11XAYmtzTcG/HwYMHCxkoKCgoKCiE4FzFBz/4QV772tdyyy234L3nmmuu4Ud/9Ed5wAMewHK55BnPeAYf+tCH2NzcxDnH93//9/PiF7/4PnefrLVcdtll5/RrGKOwjGosNkBEde0Tb7EGLglKCra7yJkhsDsmYpYQNd4wqywXVpYLo3B8GTg7RMYcp2mtoXWWmBJnhsQi6GPbGlztofEcagy19wQRFkPkRDYSh6SxqMYaWgtXPf4b+Y23vp6HfdPDuOABF2CdZffELr/7mt/l2sc/nic+7us5GzWJyDk41HhNTTKGLmg78RC1xtjXjoO19h3k0CW6lAiJtTRIUOnREAVvVULUOJuTgNSQvRhTjkoVrIHWqYm5yubl/RqGRZTQKLHR5+azfGslcSooKCgoKCgohGBfMZlMeOYzn8kjHvEIUkq87nWv4zd/8zf58R//cQCOHDnCz/7sz/Kt3/qtAOu8+4JzD5UzCIYui+h91u0vow7kk8ohaFym/grMRzUaL6OQJBHRluGLph5vDaf7qCfaSRhJeGd18LeRM4PGisYUcleA4+jEMPOOzcbTeMt2FzjVQxeFWoReLI/8+uv40N+8n3e86J1c/jWXUk0qPvX+T3OBvZzn/eufwFjLIWdYxsR8TBzvAluV9ixMfW4yzu3GO0Oiy90Fm7UO8BNnCRbGmAjZT+ANeG8YRYlGSJHBWhpvqIxR07KsthBKDroYaJ3GqNbW7kvxmLYfqz8jJGEUIeZeBp9bmP0+k5CCgoKCgoJCCO7jeMADHsADHvAAQA3RV199NR/+8IeJUTPgd3d3ectb3sK73/1uHv3oR/PsZz/7c0hBjJFhGBARQgiEEMqNvbeSgizB6fIJ9KqBuAuJSU7WAT2J1hPpCEOii3pqnYZIQtOBLp56Kms42QWGqJIcYxLeWg40ntYltvvEPGiR2RCFGIXDEzjUWBpvuXBa0XjLiWVkESJjiMwOHua7X/AiHvHer+Unn/ssHvnox/DcH3wxj3zs13P0kss4M2g7cmsNTeuYj7rZ6IKw1bi1ubh2hj4Iy6CxposgbNZKHDTVxxKT9iBEDU+iNpCMYZRc8JbytsAZamvYqFTa1Ed9XCUGkdrq/Wuc3Zf2Y2MMlTN4EaLV/oIxQYiCS0JlNempbAz+cTEMw/rfs+VyWW5IQUFBQSEEXxzatmV3d/duPzefz6nr+l57oxaLBe9617t49rOfzWQyYRxHnvWsZ3HhhReyu7vLjTfeyIc+9CFe97rX4Zxbf9+73/1uXvjCF3LnnXdqEVTX8f3f//3lJ+9eCJMjQ+WzSMEosBsSG94y8VoyYI0271oidtSSMYlwtk+QhGntODp1eAsnlpFlVFG+IYG1TCtH7SzH8zCeevUlDAnG6Lh44qis5VDjmVjDHUs4OwrzITI7cJB//vXXAfDAf3YV1z3t2zk4qeijSnh2xsDEaZnYZq1tw6eHRLfUbcHBxjG1Fl8JtTUsQspFZMJiFA61ltbZ3KpsGaM2Cq82JK2BYNRfMB91GB+s3htnDFOvXQ9dFOZjpIvCMkZal4mV25/iMWMMDsE5S2OVvAwJYiZoTSYqZVvwj4PXvOY1/PzP/zygcq5ynwsKCgoKIfii8JCHPIS3v/3tvOhFL/qcz43jyPOe97x75U06duwYL3rRi3j4wx/O05/+dIwx1HXNs5/97PXXPOIRj+AHfuAHuPXWW3noQx+6/vh1113HX/3VX603BC95yUvKT929nBQ0zoAkuiQY0ZKwUWCx3hQYhNW2QE/PnYHdITEmYWcAIZIqx6HG4a3hzmVcD8/GCEOE2hkunjhO9pEzg3A2QOzGtezm0pmnsZZJ7bjSK3nY7mB3iFoggJKXs2MkWseh2uIwhGToghAkMXFKco7Ult0o7IyRMem2YOos3utpezVGlkEfq4uJrdqxVdv1NqFyq8cUEgZvwDlDtDp8h6SvvXXaqmwNeSugG4NF9i4MQ2RpVUq0JgZ8+RKf1fcZA62x1FYbmdUkrd6H2ulWxFKkRPuJn/zJn1zLJ+fz+Wf8u1dQUFBQUAjB54W1lpe97GXnzM0REW699VZuvPFGLr/8cl7+8pcznU7v9ms3Njaw1n7O6tx7j/d+TXqqqio/decAGm8hJvrsXq2zVGYZExO32hQonAXf6X8vQiKIqD9AIlSOWeW4xMCJDnZ6fczWGULSLcOFE0frEqc6NRyPKRJFGJJw0cRzoHb56zwTZzi+NBzP10uSOwJC4mQSNiodwmPuOFiKEJyhsYaZM3jj6GNiuwv03jGrtK14s/Y0Tk/yuyBsd4FFUH/AzNt1l0FIeeCWvX4AZ/aG8LlEhmSy8Zg1MaitYUjqXeiTcHZFDDKB8Psg8TFZyjWxhpg9BitiYONdpUSFGOzL35GmKb6pgoKCgkIIzn987GMf45WvfCX3v//9ecELXkAIgfl8zmQyYXd3l3e/+91cffXVLBYL3vzmN3PBBRdw5ZVXlht3nqDOevc+CiKy3hQsV5sCt+cp0BIxw3YXmedT+GWAJJEosFE5Lp1ZKhvY7gJdNitrl5nlYGtpXeREp9uBnSERCYSU6GLFhROHN5atLAEyo8rSxiQMQaicJvBEESbesVkbXB7ChygkUXlQbQ0WqxGno57qzyr1RzQOvHPUVk/0uyAMMbKsEhuVEgNv9XFDUsKigUWG1hmSFYak92tIkdYZamupnRKf1kBtnTYRRzUg746RZdTvb6yl2qeyM2cNNpeyhSSMUeiTtiDr1kML5goKCgoKCgoKIfiC+MAHPsDb3vY26rrmzW9+MwDXX389b3jDG4gx8oY3vIFbb72VjY0NrrvuOt70pjdx8ODBcuPOExiz10bc51PxFSmYh8Qsk4IkCVs5LHvD7CInEAlCkkAUz1Zl1mbjO+ZBzcrOYF1iSIbaWS6eGI53kZ1RfQVj3lIsgufSqWPqHa23XDyt1s9xEYU4JrYq1fuLRPqYOFipj6BPGh3aC1ROT/UnAp0IQ0qkITEmx7SyeGOYeXIaESzGyNleB/ilN2zVntaZdaLPEGW9MXAYph7GZBhiYncUGhsZk96nah0PCo0zDEmjULtMgCojtF63C43bL48BWKvkbtW2PGQyU2V52H4YnQsKCgoKCgohOE/xbd/2bV8wFehP//RPy026D5CC1htkTAyiJV1VPnlfhD350DIkJpXFZenL8eUIQyKsMvMlgDg2KsuRxuEN3LEILKPQ5ASfiA7NF88sVRc40yf6EZCESCBE4YKJcKB2a+Ix9Wo8nkfhVB/ZrB0klbudJjETmFWWKIYg0AchWcE7w8RbunxqHkNCRGj9yjdg8UaonGM56rbgTI4T3awMG5V6I5pMDrqoaUQpKWly3uLzdkL9A4nG7RWbgSYUVdbQRqFPeo1FEPoYqa0Wj60iS1fvxZf7HoJ6NiqbtwWSJUVBpUSrXoUiJSooKCgoKISgoKDgbtF6A1G18h6htYY+t/u2K1IQEzWWw62abo+bwM6g8qE+CTJGBNX5H251U3AskwJjoLVCENXTX9iqNGh7GXWIJxFFGEU3Bk1Ia0Jwv5njdDCc7NS43DjDxBnGKJzNHoONSqNIR4Ex6eYCC43VU/Q+CfOwkhzpVsRZ9R5UxlK7ValZ4lQyLCNserMmEFNvGTO5GERN1qstwhh1ExFDNh7nPgSHYI0O/lUyNE4JRBdzlGsSaiv6eWvxyL5sDWqvkaVh9Xzz71UuXvOFGBQUFBQUFEJQUFBwd4Nkk9NkhySA0KyMsitS4CxLSWDhUOtx1uAsnO51wDUpsTtqMlDCsJkTiO5YBM4OiWSFibfoqG84UFkqA9t9Yjmqj0FECAnqcQR0sK+946LKMvOOY8vA7hgYk2HmLcZoYVhIwrTSjoRgtXStizpwV1b7AbqYmIfImGCrcsBeodjUGxrnWITEMmj8aR8NsyhMvaF1bo8A5M1ARIlB4wy1c5r6k4RxEBqvnobGWawxWGuos+a/cSpF6vKw3g9CYyWf8Ouvezqw2xwx61cG5LsQA2egthq7WohBQUFBQUEhBAUFBXukAB1uRWAUJQV1jtXURmM1xy6jxmAeqB0GQYiYXmM9BWF3SCSBJFoEdvmm5fbdkZ0+IjGxYS0G3RasisLuNInlqMTASGQ+KG0YojDExKR2bDU6tH96IZzuEztDZFYZGm8JSdgdtSDtUE4tUj09JFE5z9Qb+qBE4XiMHGqEqU7FCAZjhM3KUjthkWVEOzEyRMOsYh0lWuehfaXXj+ip+0ZlGKJ+fD4Kg1Vy0+ZYUJMjSFeDeiOixua8YenjaluwZ0C+pyTPACZfr5YcoSoQY8JFdJtgSpdBQUFBQUEhBAUFBXcZICceJEAQwYpuCvqcnDNxesLdRcFaw4HG47O5VdB4UDGa958AwbBVWR6wVXH7rmG7D+yGxJa3gDAkQ1s5LnWG40vtOlgEwUUlBF0UTnaRA0YNxI13XLFlaBZRJUQhERGmzmASLES7EA41jlll6HOLcgqJ2qtfwhvDMgonusRmJRxo1JQbtVaNxhrq2rB0ifmgG4MhRaYxMeTytsoqOaoMdGk1ZENtwRtLlVT6tDsmhkhOOTLr5B9r1KDtK1mbgde/R2F0go+6YfCWfeky8MbgjHYt9EEIQAiCN/IZz62Qg4KCgoKCQggKCgoxYOphEYQxQWW1V6CPSgoaZ9YeA4BZ5bh0Q0+2T3SBRYhIhCUJBFIuCrts5qktnOgCp4fEZmWprG4BvDFcNHFUBnYGbQgG/dx2F0hYxhqmlaV2lsumjpkfOb6I7I6JkISJg9ZBSIkTnfoKNiqLdRrN2QchZsnOxlpCJPQpcKBybNQq74kCYgwT7/BGyc8yaKrQSnozcXYt8ZlmGZF6KcgDdn5tmRjMx0QX1ftQO/UXmHwyr8Viso46HTIp0LbkuDYF+33oGDDGUGUisvIYBIF5JgYrn8E9ISAFBQUFBQXnLSE4dOhQuZsF9ylS0HpLHxJDJgWNM3vSllwG1icwCDNvsVOPM4Y7O+0yGJNggpqFBWGzclyUY0k/vQicGRKbtUZ2BgSL4UjrqWzi00sdRpOo0ffMGHPOvmVaOVqnEaGNs5zo8rZgjASxzLyans9mw/NG5Zh6Qxc1nnSZOwv0pF9Tgk72kUVMHGocE2cRNH7VO8uG1S3JIkekjikxOGHiVwVleWA3Rj+XIIpq9Vtnqa0SqTEJZ5NQ58bj2rKOBL2r5r+xWUYU1QQdgjAYMnHYK0S7p8TA5+uvyt/GJIQo+NxlUO1DmVpBQUFBQcF5RQgKCu5rsKjURYLKcLCaPrSMwjLqf9d5U2BEG3uPznTQ/NRiZDGq/j9hEUkkUVJw4dTTOMNtZ0c1G1ew1RqGEYKBw60lTtThHBL0IeIqz5DlQ1FgdJaJN7TecdlUuwU+NTf0IRFSZKt2eAt9TFmKYzncOPrccNxFoRKoHWzVlsWoUqUuBA41jkOtY2Z1OxCNoXJwwDmWITEPST0CyTB1e1Gm2kqsm4E+JkZRYuAtbFWGftVLkAvR1JOhm4bVtuCumv/G7UmJgqgvoXKRwWoqUXMXQvHlkgKDkguXCce6dyHqpqLOnomyLSgoKCgoKISgoOA+iD1PgQ7MY9ISrDZ7CPqkm4LKGEb2TMkXTD2Vhdt3A/OcAKQJQgYRA5h1StHtu4P6AJaGw82q5dew1e791e2SwfQRKqidZbuPbLlESJYg+nwOtRUTl/jkIjAfIttdWG8fIqxbiw83bj34RtG25dpZNhtHE1Tzf3wZ6ULkcFuxUVuikEvYYFI5amezBChxNg/sE28JKfsPcgdClVbtwRDQ51nV7i4txokhakzpxNvP0fB/tuY/WrTILQjRRgajPQaNM/uyMXDAxBvqlWxJlDgNeSPkrSlSooKCgoKC+zYhOHXq1FfsSRd5UsG9CdYYppWWkw0py21WpCAPiyRh1Oh/ams52FYYDJ9ewJkhorUCAkHNxglhVjmu2Gy4Y3fg9JjY7iJbtRKMs7mHYOINm5VlHg2MEWsStfOcCcIgiSCi24LK0XjH5RtwcmnY7iO7gzC6pD4CC0OE48vIVqPG4DE3HA8xkUT9AFu1pYtaINYtRg4Gx8HGMfOGMeX0pfx1dYBl9lWMMdF6IXrDKNlfYAxTZ9Zxn8so+FVMqXX0Tof7+ahSpInX7/N3Gbo/R/Nv9voQkghRorZAW5U/uX0Y2p01TKwSgzEpMVhGwUWhcirHKiVnBQUFBQX3SUJQUHBfJwWts3RxjxS0ztBlrXttNXFnTIJD8/YPth7nDG535GQXlBSIIBJJIggw85bLNmr8cuRUFzk9CFs1tFavWzvLRVPPmUCOGhW26sDUe438HIToyTIiPW2/cOKZVZbji8BuTJwaIpuVRoYmhFN9og+JrdpTZ29BEEgx4a1l4jQatIuw3UeWIXGwcWzWjqm12VgMjbdUTuVBi7xdGJJh6oUolmDMWotfrb9PiJkYtM7SZH9BH4WzY6KOK+nRZ8qB7qr5r7Pmf0iJmDRFKaaVlEi9DJW75/p/l9uNKzFKvLLUyhqhyp6HeyJZKigoKCgoKISgoOCcIwU6xC5jyi27mja0lg9ZPT0OAlX+hq3aUW0akoEzy0AQQSIICRFIjZaE3W+jxtuBE13idC80GmCkfQZoAlFtI8e7xKk+IXFkq/UEscyzJn+jSoTkaCs1Hl+xaTi2jJzuI6f7xKyCjVyGtjsKg2i60LQyLIJea4xCMuCdYWY05WgRhX4ZWUThcK3biMpCn/TrJ97S5O6CRdRisomHaZYrjUm3Ak1OJeqyvyBETfXZqNRIvMym5T5GlRFlf4G9y7bgMzX/bq35T1mapGZmoU+q/b/r9385MMbgDNhcqhYyAexFr+tz23PZGBQUFBQUFEJQUHAfwGo4nGCZZ/mQzWk9i7BHEhwqH6oMgGFaOx68VfNRAyeXQeUuEUCQLM7fahyXTGu8GblzGTjTpTUJAZWsHGw0BvTYUtgehUDkgon2B4wRzoyJGRARglXD8SUzaBxsd5HFKIwxsFmrBKiLwnYKDMlxuHEMSYf8KAJRT78rZ9mywjLCmT7ShcShRjhQaxpRbbRxOIphozZUMbEIifmo92eWdKiPEtfG46m3686BIe2Vl23ltuMuJPVsRI17bXPvwV0H7s/W/PdRcJJTiRJYo5KiIenAXjlzj7sMDOSoVVkTkTGplKmy2uVgS5dBQUFBQUEhBAUF5z+cNcz83qagMTD1Kicak6bqaNuxNvgiUHnH/bdqbSVeBIaocaKCivsTwlbluGBS4azhtq5bX6/KCTxDgmntuMQaTixHzgYhLgMXtI6Zd/QCi1GIKRGtJUqktpZDraf1ju0usjNETg+RITk2K4sBdnOk6cHKMnGGMRmVECXB5WtPPFQRhqRJR8sgHGwsE6+RpiHLiAyaONSNiS4KOynSRKONyMBc0rpXYOZhSCr/WWQZUW0Nde1y54OSi5W/oPEWfzcn8S53Iax7BYwO6doWrSTBpz35ktsHA3LjDZXsEYIxv47KaqeEFkAXUlBQUFBQUAhBQcF5TQpalASosZi1xyCkPSIQ70IKamu5fKPCG7hjHpRAxIRgkF4H2K3acritGKf6V7cLibNj5GBrsSanCnnLpbOKE13kzBC5YxE4OoGN2jLEHBUqkSiW6FTPXzvDRVPHxMN2tzqBT2xVliYP9Ce6yFZtmVWWCkMXhIjgxGCMRoFaQ44A1YSgzVrUn5CjR1flYs7oyf0yKDEYhkjrLVOvKUsh6dCshWN7RuEYJW8SDI1zLENOJMqPs+o+uLuh3lvd4MS7koPs1Qiijz0mlXVpAdk9ixO1xlDbPSlRSEqYRgSXt0W+RJYWFBQUFNzXCMGrXvUqPvnJT/KRj3wEgKuvvprbbruN2WzGD/7gD/LYxz62vCMF5w8pWHkKVsOq2/MYjKJ/+SK6KWgtDEmH3ys2awyGY8vAbkgkPcomKW/gQAMHmvxX1xiWQWAQDtVq9g0JsJaLpiqlOdEHPrkIHEmOo5OKSgzzkEgxEZMhJSGIo7VwsHY01nJ8GVnEyMk+cQDLRmXAwOlBCc6hRpuL50GbfB2CNQaDSnUqD30UTvdRDcqNY+rdetAeo2BJ+NpRjzrQr9qKN7zJsiGT5TbZlJ39GGMSAkoWNipD4x2LMRe09dB6YerVePzZw7YxOvCvegXG7O9IIkjuRUhG3xOXewaqezC0r6REapyGWrTROoh2GbgcTetNIQYFBQUFBf90sF/Ji506dYoXvOAFAFRVxRvf+Eae8IQn8KM/+qO87W1v4z3veU95RwrOG5icotN6HfS6qI3EE6dSnIB2ExigS9Dk5lsxlq86UHPJrGLDWyQJfdIBe3dInOkTQdRDsOEtW1lCsz1EyA3AJm8fjrSOi1qPAY4vE8fmAx7tG7DWMIowD8IYAvOQtFCtcly+VXGwdjir/oJTy0DKxGURhGOLwHyMbOTW4yja6GvQ7cgoZMMuLKJwoguc6kclL+jnNipLYw2T2nF44pl6Q0qJM0Pi9JA0cQmVGs2DkESJQuv0fvZ3iSo9UOt9qL1hGROn+8CZIarsSrTn4bPfG2sMjbdseEtjLdbqpkOyHCqIvtZ5SIR094/zJRGD/PMwq9Qn4Ywh5mssQrpLH4WUvzwFBQUFBecvIbgrVv/jExHatuXVr341v/Ebv8HOzk55VwrOK1R2JYWBLuiQO/UWayBlQqADrp4iW2AQw+UbFZdvVGzVDmOEMQpdiJwdEqeyqbhyhosmlbYXC2z32ni8ysJPwMHGc9msYuIN233i9vlIFxIHKu0bsAbmURhyS/BK7nN06jk68WxUlrNRON4FlkGYON0WbHfajVBZaJ1eK4oO1I1VgmCNviYw7AzCqdWgngQxarieOTX2bjWeA42jsbAMiTuXgcWYNySiKUPLkLAoMajzNeZBSUPtLAdqx4HK4axuZk4Pkd0xEYTPO2hba5hUVgmKU2mTvUtcaEgwHyWXz6nn4J4O7ZU1zLxh6iw+E4N50NcXknobCgoKCgoKvlL4insILrnkEh796EcTQuDHfuzHqKqKiy66iNlsxkMf+lBOnjzJ1tZWeWcKzjtSgNeBuwuqdZ9kT0HMJ+tJhCBqbB2SxolePK3w1nD7fGCnV6mRhIiMETKZaLzhwqqisoHTvW4QNmtH4yCIQYCN2uGt4UQX2BkSQxy4aOq1a8AYuqQkIEgiSiI6RxKYVY7aGpoxstMntvvIRhK2KouxrNOCDuRkoj6qVl6yDj/mTYWgyT59hJAiQxCmtW4IqpXpN/sp6jzML2JiZ0h0Tpg5Q1tZougGYK3zd2bdX6DyIt3INM6yDBphujvu+Qvaz+MvAHDGKLGxZs+zcJe5PMBa5uPtnvTonsiJKgfOQkx7XQYhJlza8zHYIiUqKCgoKDjfCMFFF13E61//+nLnC+57f9nywLmMKhGZOLs2Gq8Gz5iP1VunxV9iDBdNPA7D7Qyc7qPm6edv6HNp16yxHGorvA2cXGpa0KzSE+gAINB6x0UTgzeRM33gU/PAEIULJp7NytHbtG4WDikhzpBswjs40lZMbGR7iJwZEl0SjtSW1jv6pNuDrcqyWWsHwXwUktFEJWvIHQA6QCdQH0WfmHlH7VQG5A04b9eFXk2yLMbIImiM5yQJG95SO7vuKfDZC1Ch25c+J/o0Tk3UbTIssodjp090LjGtLG2WCN3dkO7ydqVy2QQd1dC9ImBR9P6P7F3f3gMPgDUG68CL+iLGpK9jRT5WqUvFY1BQUFBQcN4Qgo9+9KPceOONHDp0aP2xGCMPfvCDy7tRcF5DT4QNgg7ey5iYesvEaU9BygL2mIRB9khBwHDJhsdZcDawvRzps6SkT2rctU4jPjcbJQ93LgPzIIgkNiodoA1Qe8tFU4O3wnYXObYIJITDbcWssnircZ6rBKFWoBKHd4lpbam8YbuLnOkTnxoDR1rtPxiS0YbjmDjUOA42lvmYpTxW/RGjqInX5/awlODskJhWmu7TOJvLybRUrA8pNxYnzoyJ+ZDoI2xUmraUcnTrGLT0bVbZdf7/Mgou9xccqB1tJkTbD7QAACAASURBVGFdSIwp0rvE1Dtqd/e9AKseA5d7BcaofQp61yVvdFTaNSSNSm2cZcUxvpzhfUVGtG1Z1gbqmElfmw3OBQUFBQUF5zwhOHPmDNdddx3f933ft/7Y2bNneeMb38jhw4fLO1Jw3qN2FtBT6y6mdRnXMiaiGARNoTFJ23uHqMVfR1qPMeCAPtcQxCTsjhE3ONXue8usdlxs4GQf1chsEhuVI+WkImvgwkmFN5ZTfeD4MjGkkQtaz0bl2KgclV09P5X41GIQZ3HWcEHraJ3hTB851ScGgYOVZcMbehGOLxNbtSjByKk61mhfgnMavSlJkCy5WeSBPgmEZHKyj568e+sYnKVymkK0CImdQQvQNnMkqhIjzfmvnUaShhwpugh7J+wHat1ELMKq9TiqdCtvJT7fEG/v0iugsiryRkfW/g8lJimnCdl16tKXC2sME6dejCG/lmXM189G6YKCgoKCgnOWEBQUFHwuKZg43RR0JMaUSUHSgbO2hj6JDt6NxxrL0FWA+g66KLghak8BMPGWSeW4wOjQPg8JSZGN2mHQeE1rDIdalfec7AKn+0iIwpGJ+gHUtKvm3j7pYB0lUTuNMt1sHI01nB6ixoWOicOtY+YtAeF0r6fa+lhKCvrc2Ns6u9b8q6xIPx8lkZwhiiFkb0GVOwcqq9drnWE+qvn2ZBKmUTcDtdXxvIuaslRZg4c9f4EIldFT/MpBHw2L8TOLzVr3hXsBrDE0Dir2egWCgIat6gYmJAgp7T2He+ABWG0M2pzitCI5mlZVUFBQUFBwjhKCxzzmMfzqr/4qAO973/s+5/PL5ZIjR46Ud6XgPoHKGkRU9jMPiZlXT4GQCNlkKkmoHUy89g0EgYON5X4bdR4alRTMg6Dn/zqYtt4yrZwOqyYwHxNnh8hGZbFGH9tbw2bt8cZyZzcwD4lxPhJjYqNRX0FVO5ZRi8q6bDpunaHGUnnLBdbQjInTfeTYMnCwdhzORGMRhaGLHKw1wWdM6p+wRmi9ISbV/Q9RiYLJ2wRJgjhNTRqTSmWcMeovcJbG6SC/OybOjiq/2qxyYZo1hMSaGNQ2+wui0IsO1I3VlKLGqkF5EUS3DvnjbaWRoJ93SAfsXQrH+rjXEWHzexJkz4BcGSU21n75xGBlYK7EEJ2hCIcKCgoKCs5ZQnDDDTdwww03lLteUJAHvdrpIKmn8OopmHrLfNThPgoMUbDskYIhwcHGsXXgAIc2ZswqyzLqAL4iBUlYD7eV8xgT2B2F3TGxURlqo6f0lTXMasulruF4N7LbR44tI1G70NisXc7pN+yGxDIIi3xS3VqLc4ZDjaNx6i041avh+KLWs+kN86ANx0MStmrHRmWYj7KOL51Vavod8sl67SAZQ20SDRYxsCvqQWicnphv1I7GWxoX2R0Nu6PGnyoxMMycQ/JQvoxCZWDq1Ng8iN4nn7QPYrNytE6jVpdROD1E2qRyp8bevb9g9TFDNjRb1fqviAE5Lclkj0MU3Y40q5KzuzzGl/rzooVqthiMCwoKCgrOXUJwrmF3d5e//du/5fjx41hrueKKK3jQgx5EXdeICLu7u3zgAx/g5MmTHDlyhKuuuorpdFpuXMGXNOQ1Tv+7T3ueglmlRmPJufddhBaVzHRRkKblE5/8FMtk2B7h+GJgZ9BBW0QlJYKSAmcNh1uPN5GzY2I3CBs+URlDFMGiUZ1HJxUew9kxcryP62F2o9JtwwFrqKyezi+DEE2kEYs47TM4OoHTfeTsKNw2HznSOrZqjQo9Owh91A3CRmXXpWKVhWllGYIwiMaSVkaff8zbCJ/vzZg9Fd7qwL1VO1pnmXh9XcsxsR0NnYfNWrcFwuq0XrcFrSVLb2A3JN0gOMOBxtFGfV191NbjibNMquwv+AIDvBI7NWqHHFcasonb5/dB0C2FbkNUSuSQMtgXFBQUFBRCcG/HRz7yEX7lV36FgwcPYozh1ltv5fnPfz5PeMITiDHy1re+lT/7sz/jyiuv5G//9m958pOfzPOf/3y8L7e14MsjBUMmBZO8KehCytn9QoeSBSUFQNVw8P9n78yjJavqe//Ze59z6lTVHbtv0w23BWnbHhEE2wEfEAg4PCdiePJ8UVceSmLyQh4ryycaB4LwhAcPDUOMRlQmSQSHZxASbAEVsZkEUUMPos2M0MPtO1bVGfb+vT/2qeq+NiKG1lya/V2LtfTW6bq7dtU99fvt33fQUIvFU2pU7i1BS4dU3v9AJZrVDCTea38i93SbRmSIjc8KEOcFrPPrEZFWjOc+QKwUoXSG0vlMgv6qCJ8uHJ3S6wesgzSCyGjm1TVp5NiRlWxrWzqlMD819MfQsl7o3GeFvkQRx4pOCVkplXWo8q9XhMgKIgoRRaK9+xDKn/hHlXg46hbiJqIeOaaNY6qwTJeOjvX2on2RDxrrNlwaiLSipr0gO+vqCyqXoERX+oIqByGzjjTSv1Z4DF5jsGtjUIp/38BTiSK1cxpU7JJlEGlCYxAQEBAQEBqCuYply5bx4Q9/mKGhIZxzXHLJJdxwww0cfvjhlGXJ1772NU477TSOPPJINm7cyPve9z6OPfZYli1bFjYv4N/dFGTOp+I2Yk0aeU1BXllQKnyzUI+8W07hoBlrFqoIDWhVsCOzdKzDZT41GLz9ZmIUKI1Wwlju+fNgSHp0GiHRivlphFGKHblPCu6KWUsRBuLIP5fWTFXBZC3rhcd9kaez9MWaNIoZy3yqcsc6RlLDYC0iq2g5mVNVmJkmq7QERuPDzZxfm7UQO8EZRyGe398NO2uXQqSEWuV8lBpNkmoasWYi8+nEE5mjUwgDiT/pr2k/Lch7jYEX7GaV5qBwXl9Qj3xicVc7MV3RiZqRoh6ZXoPxaxsDEVwlmC5FUOL1BYmuqGDOZxkY56ljwVI0ICAgICA0BHMQzWaTZrMJ+KwEYwxxHKO15mc/+xnOOQ477DAajQbLly9n/vz5bN68eVZD0G63GRsbw1pLWZZMT0+HjQ142qbA4Qv9blNQj7SnnVjfGAg+W6BRNQWdSlSrGxG6CtUaa1uy0oEIgmE48baksVGQROwbCU+2SlrWIviCuhAoRKhpzfx6RGxgW7skKx3jAs6BdTBY845Ig4kPFZspHNO5ZVwcfc6fqMdas09qSBTsyByPz1g6DhakhijWTJZC3rYMJo6BxBDXNK3CMWOhESlqkWEy8ynITiAxMC1+QuIFyuLDyUpHzXhbUa38FCM1mmbhpxTt0rG14+gvFX1JRM0otPZuQLnze1UzPim4EKFlhdhBGqlK5O1djWZKqaYv4jUMlbD3100MtPITia7GwIp3i/L5Cr4RK0UoS2/NmlZ0Ipj7U4Px8XEmJycBaLVa4Q84ICAgIDQEez9+8pOf8K1vfYtTTz2VNE3ZunUrtVqNer3e+/JO05R2uz3r3/34xz/m7LPPZmxsDBHh5z//OX/6p38aNjTgVzYFqdEgjkKYlVMAkImjcF4E24h9wZpZbwtaj3whD54atL1TkllhOvcUouFaBMrTYwqlGEkjxvOStvWTh5rRvcI10Z6jDzDWsWROmCocVgQrmoHEuxA1oyozQAuTuTBdCoU4n0GgFMNpRKwtY5llrG3JrWOfesRwrGhZYaJwlOKnBX2Rp0K1S++sNJgoWtbnMHSsEIvXR1gR+iNfOHcdhcrqdN9UKceDNUMaedvVqcqNqOMs/bGmHitqWlFWwumOhUR5ylTphEKEspCeDamnSXntRWaFHVlJ3fhpxK/TF3QRV/Qg34gIttI1xNq7B3VF3F3Bc1K9lmfy3P9R+NKXvsRVV13VOzAJCAgICAgNwV6NW2+9lbPOOot3vvOdHHnkkYCfHlhrKYoCABGhKAriOJ71b1/+8pdzzTXXAFAUBe973/vChgY8LbTytBVlvfuOwhen9Uij2JkNoEovfK1pRcf5orkeaUbqPsBMK58x0C4F53zBNph0+fAKjWIoMUzl3tffIdSNL04z55uCwcRTZLyLj2OmqAS/rqwEx4aa1kSJJtaO6dJ616BOSV9MlZ5sqBnNWG6ZyS2P2oL5acRgJThulX7y0R8r6rG3LG1bocAX6bGiEvv6aYETb8vaiDRp5BMACled7svOIjvRvulpxj7MbCr39qht692NGpHp8frzitJjFMSAZadeIdaKxGiGDGSVoLpd6QtmCY9/TeHeTao2Wnp5BaWrbsSVragXU/vGwFS/O6rey7nWGJx88smcdNJJgDdgeNGLXhT+eAMCAgJCQ7D3QUS45ZZbOOOMMzj11FN5wxveQJJ4//elS5fS6XR49NFHGR4eptPpsGXLFhYtWjS7uNOaWq3W+9/GmLCxAb8WqgrREjxtRsTbjtaNnxR0/fMV3r6zbpRPsnW+KVhQjyrKimKsUzBVeAcg70DkC2KtfF6BUt4FqOPjd2nGCuUUuXPEWtEXGaK6Yiwrmc4dE62MjhKsNCic9LQAOvGhX4lWTOWOidyRW29dWosUiyLDuK4oRK2CVqnZJ41oVuLpsczRdDBQ5RZ0rNBxUjkKadrVpMBaV52oC7lT9MWGulE7Q8gqwa6nBykaymsC+mLLjszSqrIP2kboTwyJqUTGQs8dyFRi38KB7eoLKjelmoHMaqa7AuZqzxu7CJh/XcPnNQO6ZytbiA+h01WgGYreZETjX09STT/mzJdHFPUMFLoHIwEBAQEBz/OGYHh4eK/bnB//+Mecdtpp/Nmf/RmvetWrGBsbI01TBgYGGBoaYtmyZfz93/89J598Mueeey6LFy/m4IMPDp+qgD0CXdGHRByFCJS+KWhE2qfyiq3yCnwB7RsFf5LejDQq9QWm0aDbJeO5MJ45kBLE0EyM/x0RaBWhcku79BqG4USRYcidQ7SiPzYYpRDb5vQ/+2PuuvmbfH3DYwh9vqBNIoZTg44Msdakxp/GT1dUnXmJIo0MCxoJaVSytW3Z3rG0ShhtGPoSTWZhuvAN0GBN0x/5n7WsMFUKA7GfFsyUnv/v6UuKwlmasWIwNsRS2XtWzUG98v7vhrA1IsN47n/3TCm0bclQ4sXbidGkmkoEDMhOGlHZ1StoLxj2dC1vXTpT+GCzVuEYqJ7rmaQTdwPHIu3tXzulo6ysXg3eMrbrhNR9PYlWOAk5xQEBAQEBe7jmCFvwqzE1NUW9Xufyyy/n7W9/O29/+9u5+OKLmZ6eplarcfrpp9NsNvnwhz/MC1/4Qs4///zeBCEgYE81BXWjiZQX/Hasp+x4xxuN0fRSe41SpJX3/kzpT7SHa4bhWsT8Rsy8mkIr7/KzI7NM566yxfSUmIFY04z8ifhYxxEbb1laimOqtKSRdyCqGV/stgvolJZO4RjLSra0S2x1Ot+INSN1w/y6wQBbO47xrKRdWvoSw2gzYkFqsM7x8HTJ1pmSSCn6E40VYaxdsr1jUQr6Ym87OlUIohR9iT8tdyIU1usSpnLH1o63SW1E2ouMqwapXfrXKSKYykVp/76IoZpPJB7PHDsyy0xh6ZSOREGs/M0xq2xDY/zkoOsAVVgHyjdK81NDM/bC7/HMsqNT0iktrtI8PBMY5Ru9ZuSbHgfMVA1CarzmwSif3DxduNAUBAQEBATsUQTK0NPgiCOO4Dvf+c6vfPyAAw7g/PPPDxsV8NttCrSirjTt0p+eK3xqb70SGrcKx0zhUHgKUA3oVOJg3xQoUKqyJS2ZyB0Tua1SdQ2NxBBpSCJNv1Jo5cPHJjLr3YyMolWd3kdKYarT79goMicIgliH5J4XP1SLaEYKZTRGa2rVtGCmcGTOMhALfYlm32ZMPXJs75T8omOZscKCekRfpMgsTFXTgoFEU9eep98pfSGcVs5CXlDsmwOvLRD6Yp80HGtNYV3PjSiuaDeeKmVYVOUpTOZ+bTusb3q8NsHTf7xewusZqj6oJ/6Nnd+DWHtRdMP4tOm2deSZJTWOemSomWfG//cTA4VR3QwDLyAvrdcYxFohAkU4xgkICAgICA1BQMDzsClQirQbVFadWtfMTk3BdOGYLiwoqBtNqnZSZ2pGMb8WeccawKjSZwRk1geYKZ8WHFV0GKX8yflU4R16mrFmIILpEjqV0xDAcM3Q1prcCg6FEse0U5SupKgZ5tcMWkDHnnc/kflQtO2ZpbCWvlrESOotPLd1CiZyoWMLRlLDgrohcoqOdYx1HH2xT0zui1RFi/Ic/0akyG11ku8EWzn4dKz4JONIE4nXDHT1BT6EzO9pf6ypG8VMZBnLHK1CyKylXjr6KkF1rMApryfYuYd+YlOWlV5Bd0PSDKnVzBS2soQtqUeaZmyecc6AUv53Rso3QT1thBWMAo23PA0ICAgICAgNQUDA8wymagrauzQFaaRpKA0opoqSqdyiEkUj8iVjpxKmNiu6TzenwCjY1nFMlg7XERZgqMeGqDqJJ/bC1unq9Fy0Yjg1bC/L3nrmpYZcG7Zn3nFnximasXdBKsUnLu9bj4iVQhvDSF1TN34isCUXMleSJ4aRNCaNDH3tnF+0LY/NFEyXwoFNQxx5e9LxzE88BhNDf2xoWSGzjsL5psAItAu/J7Z0OPGFdH+s6U88pSe3jo7dycnvioBjoxgymr7Esb1dMlE4pqvGoC/pJhgrGtVEpGsRGil6v6eoGq9usFlqFO3SeivWwlX6AkMjfmb6gm5j0NUYpJXGIK8coAJhKCAgICAgNAQBAc/npsDsbAqUdb5YjRRgmC4cU4VFKUNqPMUkc8JMKdQjxWDi/+QVCq0s27OSViE86SwLGtCI6FFrVNylJFlaTpB8Z74AeCvQwT4vTN6eeUvOVglpBM56KtHjAiP1iEQrLKp36l7PLWO5pehYcissqBsWNGNqseHJlm9sNlrHfk2fdxAroe2E7Zml3wn9iSZW3omobYW4SjnOHViEwnrKjauK/4HEkFTi4m4jMVM6kq4VqIJIaxY0YpqFYzz39qmTmZBGUoWteecio7wIuOtIpPGc/6ybh1BpPuqRITFec9AqPU2rXfo97CYsP1OoqhlMRLAh0TggICAgIDQEAQHP8z9a7Xnu3gvfnxUn1ck0AlOFZTIroaLMgG8KOqU/xR5KTC/wSgE78I47W1qW+Sn0xwbRPnCsGWu0gpnC0i6FUlzvdLoUL9ptxJrIKLa3fRGdlUJiFCUwLZbSCfPSiIHYYJWQxorIRKSRzzeYzC0d65hXi7xewMQ82fa0poenCkZS3zAMGE2r9I4+mRMGqrTm3HltgVEQGzBOUWrv1pM7ocwthfWUo0aVZBxryLsc/dI3FLH2RXqzEjFPF47JwnrqlbWkkcE6ITF+suADxfzEwJfo3vWoXToiBYnx1Kv+6n1ol94qdjy3pNpRjz1d6jeZGPiG8Jn/m4CAgICAgNAQBATspTBakaLpVE2Bwp/s16vo3IncF9pKQa2KvM0qukyqFcO1CIX1gVcaVKdkuhC2tn1WwVAtonBVUxB51vpM4R2FioquNJhocoGZQmjEin0ahu0dxXRhfXYCQg1NWxxbWgVZIsyvm55X/0DiHYvGOp6m80SrYMga5qURB/THNCPDk+2CJ9olM4Vl32Zc5RNAu6gExJH2AuIq+biocgsSrbCuKzj2AuWisvDsr07o60ZTasisI3NQOEdSiZVjoxmsmqyp3DJZOGYKS+kUtaopSIwXAUdKyB29RklgFyGzX0usFVFiSCOfMt22jk5WkhpvGRtr9YyDx1RoBgICAgICQkMQEBAAFbccf/Lc7k4KjBewgrfAHM8swzVPdVHsoimIvSVpt7Y0WhO1ciYKYUvbpxoPp74pSIzXBihlsOXsYnSophnPLZOF0B8b9ql7l5zxQiisQ/BpvrlzjOclmXOMNmNqRpFZoR4Z9m1oksquc1vmaJU5I/WY0T5DM1E8Ol0w1na0bc6iRsQ+9YhYK6YLYTz3ac6DNc1gor2TkRXA9U7fcyckCjqlo6hyGoYSoS+JeuLdrHJl6lRNRd0ojPZJyDWj6Isd2zOf+lw4IbVCHvlJQqwVTeMnFfkuXYEon5dQOCE1/r2pVQ1HwyomMj9RaZeOvlgzkJhQ7AcEBAQE/IcgGNgFBDzXmwLjLUU9tcV73zdjw2DNIPhpQWF9qFVNKyyePx9VdpmDiaEv0gzXY4YSX5A+2bZsb5eUzpE7h1KQ4hh79EFmJsYB+OLll3H/xg00sNQNzOSW0sG8NGIk8ZajpfNFtsIXxjOF5aHpgnbhSCsfT6UVi+qG/fpjBmNvOfrkTMEjM5bUaA7sT9h/IAbg0ZmSh6ZyrBMGEp/42y79WqdyS914yo/RPtQMhJoGpbytKsqLnrd1LFvbBZl1AP6kvtIJOIHpUmiXFuv84/XYsKiRMJJGJEbRdl7k2yp8QT9ZeguiVHuxsVK+KaDKIvBZEZaier6a0SyoxwxWmoqpwk9R/BTimecXBAQEBAQE7JF6ImxBQMBzG7HRKOUDuDrWodBE2rvoAExVQWSDNUNSFeGZ8y5ANeNPpqGrKVAYXbIjc2zrOKzAcGpAFHetu5VPXXQOer+MY089lpvv+Sdu/OZXOPnkU3ndG99EpLwlaIRiqOazDcYzReGEdlWYOxSdwvKYc8xLI4ZrBhFFIV67UNOKHZlf73i7pCgt89KI/RoxA7HisemSsY6jXRYsrGsGa97FqFMKE5mfFvTFqicw7mosIuXrc11RiQorTDjfKPVX7j9GK+oKSq0oujalIsQKEuObr8GaIY28vmCmcORWsCIkVfOTVI5ERlXBaaKgKu67eQmxEuJKh9AXdx2JfNMwnllqxvksBKPRQUAcEBAQEBAagoCAAAARIcuyp71GVUV+hs8iiLRCC0TWMpk7soyqKdCIdUxbIaucc2oidJwldo6as/Rj2ZE7tmSQZZrhRPN3F5xDfZXmNX/yZgYXDTK9fZo7/+kuPv+5izj45a9mn+EBSuuY6Qht5Wk3TYTx0tJxQsHOQjgTodPRzNQM81NP3Wk50CIMKFDasr2wjOWO6bZiOI0YTDSjqfCEK9kyY5luwUjdsE89IgLaFjqZMGNUTycQK02pDIWjZ7mqjUY53+x0tQW5NfQnmsRo4sqWNXKQWyET3xjUKpciL0r2FqqThSO3fkqQaOXD0apJTKQVqcY7HlVNgRMhEyilCkozqtoToRapHoUozy017eiLTZUNERqDgICAgIDQEAQEPK/RbrfZb7/9nkHj0O0O6IVXiUDXub7rLCTQU8F2a00Rf1X3MbfzqVBAfUGNPz3vTxlePIxSioGFA6w58WVc+a0ref2a1b3TbP/7dtJmZOev2i1QS1XXKRS/7K7vZPfrusvuPqbwRf4uL2eXNSv+8L/8F8694GJybSic4JwQaR/qVgpYgVZZCY6tnpUVEGsqm1I/LWhZIXJCWjU1zVhTixRTmadg+YwCAaPIXRVWVoWgxaLo2B6LiFIEhw83SytxcqIVSWJoRJqJzFYBbCWNWNNf0aACAgICAgJCQxAQ8DyFUor999//GV/vukX5LgUzeJtMJ91wMjXrWl01ET7011/nEKyDVmsGkg4D+wz0TquVUjSHm9SaNQaGh2n09UP1PJFSVYCX9H7mC2HfnHQLdrWTUYNS3inJKIWrmpPu0gsns9ZpVJeWA3lViCu8o4/Rqld4p0PzKAT6Ek2nFHLrKB2IErTWaMDEPgF6IveNQWE1fbWISPk043qkiKvpixVf/NeqQLNIKYbSiFrpmC58QFvbQmqkyiVQFM5PYZqxT1X2jYhPVXYKZpwQG0WqvQja6wtUpTvw1KR2KfTHQj3SIZQsICAgICA0BAEBz0ekacpdd931jK/PK4tRBdQjX2QLXk8wUzgiDUO1aOcJuHU9OkzpHFO5F8HOlL4g3fSzn/PhPz2eR370CC969YtQSiEibPnZFjrjGed99goOWPkSwAdzDSVeyTtVZQYk2gufJwrHTOlAKvqQ2tksGO2dj+alEUZ5kbSuGoXpvGR7x9EqLZHWDCRd61TY2i55slWSC8yveQpRGnlxslWKaatwuaMZKSKtq9cL1vnsAqMUzdh46o915E7oOBhIPI/fVPSfptKeXuTEU6BEiCtL0UakqWnFTOkL+ax6bgBxQinV1MBoaspPJgoB5/ykICsFq7wGIdZ+TxqRpz11aUTjVbCZKm0QHQcEBAQEhIYgIOD5BqUUtVrtGV+fiFCrHH4cUIt8YRsnQlxYpnNHG8VgZOhPdtJiREEj0dRqQpJbksKRFI5DVq3g1b/3Jm782xtx1nHAyw7gFxt+wXc+9R0OW/EqDnvpwRSmRrt0PpAMxUAcsaDmXY7aVlAII4kircLFRARlwCgffoZSTFmQQrEgjRhOvaWqE5hfSxhoCNvaJRO5Y9IJttDMSyMWDyUMN4XHZgomckeewSJjmF+PKAUy59Obc6toJoZG5Iv4tnWUAk4ckVI9C9G2FXZkpacQxYa+ZGdOQJdGVOxiU1ruElbWDSGbqRqf0glGKZT2TVruvHNSohV1DYXaOf0onGBxFFLRh6pGpD/2mQnt0jdordzOolMFBAQEBASEhiAgIOApG4jYBxfTscJM6bwdp1IMxgZVCWoncstwLepZgOZOwDrqkWYw8TkFGnBEnPK/PsRF557F5SddiS0LtDYc85o38Bfv/yj9zTrWCUr5Ij4rhQkpGUgM82uG8cIyUwhZdfJuFIznltwKRBDhJwgomMxLOk5Y5AzDaUS7ygYwWrFfX0ytbdneKWmVjnwmZzg1DNcMy4dqPDad84u25YGpgunCsbgZ0zDa8/GdUGaWZuQL90gbZqqAs8z5dGWjFX3V1KRVuirMzWccNOKop8FItKc3dUo/KShLR6wUaVQV8zVD3SgmKivWzApJ5EXeM4UjrwTFadWEdKxvCqxU0wIt5NXzxVoTG4i0oR4ZtuRZ+IAHBAQEBISGICAg4Jk1BYn2dJzMCa3C21lqBYO1CKFkpnBMVJakNeOFvYUDSkcaafpjQ1ehrPdZyF9/pJ3K4gAAIABJREFU/Hy2PvYY6278Jn933Xd4xcsOoy+O6JSe3z6QCFpBq7LknMgtDs28miFS3m+/UwoNo9CJYbJwFBZEC7H29B0NFKXj8ZZPAJ6fGrRR5FZwIozUDfVIsbVdMlM6tncsufVBaqN9CfWo5NGZki1tT7HZrxEzUNNkVlGIMFUIuUB/rOlPFJ1Sk1WOQkY8daphfCE+Uzh2dCwdKwxa6E80kVK9xqAeQez8/hYilEUlEtaKNNLExr/mdunISz+JiIyirCxNC+ebgkakKJ3q6SEKC1YLtoCa8Q5GWkFsFMM1gwl2pAEBAQEBoSEICAh4pk1BzQD40/mOdd7fHqmKfX9iLZlPHU6Nnwd0m4Ka8Q43XachVxqiyu1m8YuWsyNzCJa+2CClkEae4qKUopX70/fJ3GJFGIg1kTJMFpaOg8QoBpWurDvxnUvVFCjlOf7b2gW5FRY0PNUns56u04gNo0Yx1rFM5Jap3JI7x1DNB7LVI80TLcuOrOTBqZwFZcRIGtGoEpIz69fWF+nK5Qcy5ZuCwoLTXvcwkBjapQ8hy60jsz7ILY28E5FSlbhYe8pV4cRnMTivL4i0YigxpJUWwD+Pf0wrKJ1jxily6xuD1CisKEpV5SBU9qiF0t6iVBMsSAMCAgICQkMQEBDw72kKfHhZZoW23Tkp6I8NUjnnjGcw+MtNgfMNhC/yoSwNUVWP9sWaEhjPLE6EgcTQKTVppBlKfAPRKh2FFaZzhwj0J4ZhHTGZWzIr3qUn1kwroe0J/aC9SxHKuxyNZyW5CCOpoS/WFM43BRrFSD2iHmm2tksy69jWtuSJX8v+/RGNWLGlbXm8VTJdOBbVDX1JRCE+1XkqtxSRphlrGpHCKC86Lpx3AUqMfyw1iqkqOCyz/vn7E59H0N3jpKsv6IaaWSGuGp/UKBJt6GgfapZXouNY76Rq5U58JkR1faT9VKQUR8c5ykpbUFpH0BQHBAQEBISGICAg4DduCmbRh0pHs2oKBhKDA+9gk8FQzVA3GoVP/gVHvWoKyngnXaUZaVysq0LZi3/7ayAl1CPvGKSBGfEn4zP4a4ZqEfPTiB1ZSbv0TcFA7E/ppyshLpV1qaBQSpjJLLl1LKj7f2u0olM6VNVkNCPF462SVuHYkTk6VphXi1hQj2hGikemS3bk/ucLG7CgXgWkldAqhcJZmpGmHmsi7ScphfV2n84IqVaMpJqJyn3J6yQMg6k//e9OCwygjbc/bVtHIUJR+mlDahSNWFOLNFO5Y6a0WLvzsUKEVukbg9TonlVpVmr/PE6YKQVXut0yGwICAgICAkJDEBAQ8IyagprxOQC584Vw3XjqynDNC4071jGRw2BiqBmNVJMChacPNSPvvQ9QjzUSG7SCqcJPAQAasW8ixBgGaqYqlukJdUVKBmteCBwp77WvNTSMn0JMl0LpQGnv0INSGO1deLa0Sgonnv4Te1Fv6QSjNYv7IrZ3vFC6VTislAwkmr5Yc+BgwtZWwfaO5fGZglZhWNSISI0mFypqk/OZBbGiL9a08Sf3ma2mBWgGk4jUOCZzy1jmtQVDNUN/YjCqCn6rXm9D6Z5guUsn8qFmFT0r8ras3l0IUq1oRH6fZioaVc346USMnxYUTpi0EiYEAQEBAQGhIQgICHg2TYEGceQidCykxhewAzUDuW8KyL3otnetA8FhquAvgGZscJFCodE4pgtPPfJJxwYnjiaavlihlWG6yiRoW4fLvEC3L9EY7R2PSujRlWaqk/JY4TULSjAorBPGOt6daH5qqMeGoiqUtVLMqxnSSLGjUzJTCDs6lsIK/YlmYSOmHmm2dapivnQsaEQMJoZI++K/XVpK50/y00j3Asky63UE1gl1o5mfRkxVk4K87a/ZVVvQ3evYKIz29KRC/GuPHCTdQj+NaJfeorRVuirZWEFllzpTOvJKeNy1RS0r+lZAQEBAQEBoCAICAv5d0Mo74FBx3bGQRj75tz/2nPh26VB4nUBqNFg/KRA0/+v97+cd73gH85opbdeVGwPKTwBapcOJ8snCIjRj02sKJnMvqm1bh+QgsaYRaYzSzBS24tFrlDg6DnIRlFQBYviIZcELlQsnzEv9NMMoT4WyAg1jqDUUOzLLRO6Yqjj7g4k/4U+MZqxTMpY5fjFT0i4c8+sR9WpaUDjHZO5IjdCMNM3YYJQPG8usYMWRGsVgYqgbv5btHU9/Gq753IKuE1F3v2sGYlE7hcelI1JeX9CMPT2oVfi9K0VItKYZaQrnG5VJKz1tQU0rQj8QEBAQEBAagoCAgGeFHn1I/Mk1pU807oZrOfHFvVLQF2nqkUZKL2x9+eGvJjUah8IUdpcntSilaeVCZi2Cpxw5AVUzNCPvPjSZWXLnmw5BcKIZSAxGGaYLnxacxhplBVWFf9UVgKcOOd8X0CoE60pK55ifRjQiTaf0tp0KH25WM44dVbG+zVoGEp+DsE9qqGnNtsyyPfPBaQvq3kFIa01Z8fmteK1FM9GY0k8CcifMFGDFTwsWpBHjuWO6dBXFSDNUM6SRmbXfGtkld8DTk8pSSAzUtGKgZqhFisnc70Hh/BQmNoqslJ3hcd0pTEBAQEBAQGgIAgICng26kwIpvfhVlVRBWIrBJGIi9+FfoOiPvVC4XfokXe2gZnzBurPoBbCYGkwV2otylUIA14GBmk/c1TXDjtyi8CFcIr7AHUgMA1pjCp8VUNOeyqSAdimkRvBDAoUIRNqftm/r+OyEkbqn7GTWawLA05ISbRjP/Kn/RG4pxfP+5zUg1rCtI8wUQuFKMutzD2LPUiKvJgKlKOpVNkHXhnSmgFIcDaOYn2pqpWYiK9lW5RYM14S+eKfguDsxiBT0aUNWUZEy6x2J0kj5FONUMVlY2oWfPtQjRTM2JM6LoqfK4DIUEBAQEBAagoCAgD3cFHRKrynA+kI/Nn5SMJV7rr1C04w8x79jPX1GoHLCMT64rArrapWOgViYUVBYX/BjYCIDSaARa+Yrw0RuUaUv3qcKwYmlP9b0xREay4x1RE6RaqASQsdArMBUKcwKn1cwnvlE4HkplX2otya1AokxzK9rapEwkfkwttIK/TVDf83rB8ZzX3xva5e0S8v8NKIee31DIcJ0IeTW03vqUdeJyDcMU85RiqZhNEk9Yqrw3P/MVjSlmhdo618i/ifaC7S7NKKZUkiUEBvNUBJRN15w3S6F3FoakaIRaVwUNAQBAQEBAaEh+J1hamqKm266iXXr1jExMcFpp53Gi170IgA+85nPcPvtt/euXbVqFaeddlrYtIDnHIxS1em/p6QofFOQaEVfbJguLK3SAobGLk1BXp3C14yiGRkUFvAahFbpqEc+dTivOPOCL7xdN4+gppjAC3ML55guVJVVoOlLDKb0vHpRiqYoVOEonOAQ0urEXVcTBBFhOreUzjGUGgYr7UPmBOe8W1F/rEh0xGRmmSocY52SvkTTF2kWRP71TuaW6VLIWyXDiWGgpkm0dwvymQCWhvEOQf1a0Vb+1H6mSlxuRDCcGFKjmMg9HanrRNQX616oG3gakVGQVnkE3SyCsvRpyYnWDNf8Xk8XlslqatJtvAICAgICAkJD8DtAq9XikUceYf/99+cDH/gA7373u3sNwbp16+jv7+e///f/DsDAwEDYsIDnLLRS1CNPzcmqQj+NdJVy3G0KHFSTgi59aGcD4ZuCqtRFATMlqEjAiqcPWUcNzbhYSoF5Vaqwnyr4NOPpwuKqFOW+WKOBlnV0Sm8FOlNYCvH6gWbif5NS4IlNXpdg20JhDfPrXoBbKiG3XneQRppYK+qRL9Yncx+cNlwzzK97qtBE7mhZx9ZOSdtq5qU+y6AUVa3RUaJpVILgSCufQuwcZeGbgoZRNBoxY5mtcguE4ZpmqBZRM2pW2rBSPoPBKD/96GoFiiqorB550fF04ZgpHJ3c4gJlKCAgICAgNAS/GyxcuJC//Mu/BOADH/jAbo/39/ezaNEi0jRl3rx5YcMCnvNNQWo07YoShHXUKhtMJ4Z26bwlKZrmLpqCbJdJQaOaFCg8jahVOLRStPHuPYXzRJ+JvESAeTXNcGrQOczkjlJgpvBCZCeGeqRQymCwtCzUE+MnBcBMAfXIB5sZrXEiaOXzCsYzRyEl82uRp+tU/v4gGK1oJhGxUezoONpW2NIpmZf4BiU2XgswXQpTuaN0JYM17e1JFVilaBc+uKwZ+2lApEzVFHh6UeGgL4aRmn98PLNsbftpyLw0oq/Kb/jlxmBXm9LceUG1zy/wrkapUWzJdPiwBgQEBASEhmAuYL/99uOnP/0pH/zgB2m325x44omceOKJaD37y9o5h7UWEaEsS5xzYfMC5iyMVqTonve+wlNp6pECug2Ag1LTMLM1BajutQawoAyIP7WvRwptNYUVrHNESjGVl4gz/uQ88QFmrcoitF1WTQF6Z1OgvBsQVYpyZiErgcjnFRgFThSifFjZdG6x1jFcM1XhDoXzp/xKeW3BSEMzlVumcse2zNEfeZvUuB4RZ5apqgmyHV+kDySGxIDWilJ8GFsZ+VP8ZqyIrKr2zmHFc/6bkacdTVZTlrxVMpi4X6kt8LoORVyFmpXOOx7FGhKtmZf6ZuI/GtZarPUuU0VRhD+egICAgNAQPP/w3ve+lzRNUUqxbt06/uqv/orDDjuMZcuWzbruJz/5Cf/wD//AxMQEzjnuvvtu3vnOd4YNDJi7NwWtqFNNCqw//U+0L1JB0bJCVjoUfqLQmypY7wLUnRSA1x0opWgVFjSVpsBPAmJRTBXe9WekHjFc88XxdAGFdXQqW1IRQyPSRHGEUpZMCSiNUkLmfGPgxAesmcrVCA0iXstggUJ8XkGsFVqogswAFIM1nz48npdMlT6EbSD2IWeJ0Uzm/mR/IneUTuhPjKcKVb/LayCERuRD32KtaZV+bVOFpXB+P+bVDHWjmMgd234pt8Co2TSibnNWV1AqduoLnFDOEYuhL3/5y3zjG98AoCzL8IcTEBAQEBqC5x8OPPDA3v8+/vjj+eu//ms2bNiwW0OwZMkS/uf//J8URYG1lnPOOSdsXsCch+k2BaUXzSoUsfYcfAdkODqlAI668eFirXLnpKCmFY3YoJRD4x2BOqU/TVZosooKE2vFTOGwUjKSRsyrabTyjkQKH2I27iwCNGNNIzZoLRjlAIdW3iGpdEJLPH/f23z6nABXTSiceNeh4Zoh0hpjFLl1PXFuGmkWmpjxalqwPRP6Y81gTZNoGM9hunBMFX7dHWsYqmkMqkdTmsyhHjnqRjGQaDqlYqbsugQ5+hO/J6nR7Mgs04WfPgxZw/Av5RZ0oZQi0r5JKysKUWZlTuQQHH300axevRrweqtvfvOb4Q8nICAgIDQEex+6NB+pTuSKoqAoCowxTExM0Gg0AHjkkUfYvn07CxYs2O05+vv7WbFiBQB5njNv3jw2b97M4ODgnHu9jz32GGNjY6xfv7732gKe37ACHevpOz5R2Bf3rcIn6jrxRX2jCh1rlw5bndbH2qcVd6wvfFu50La+uM+twzpACZFWFBZqkWakCueaLnxugJMqaEwp7xwUeUpeVgWQtavGIrMWxDcCjci3ICIKhyDiqURGC43IMJD4U3xVFfLO+cahm3nQKn1egRVvYdofG3IrPcqPFXrNUX/kpw4giFJY59OHG5V4OXeuClATtPa6i9RojBImCsd07jMFmpFmoGZoxPppHYQEmGy1KYriP5x+uGjRIhYtWgTAxMQE1lruu+8+0jQNfzgBAQG/Me6//35EpFdzBYSGYM6g3W5z/fXXs2HDBoqi4IorrmDjxo286U1v4qMf/ShLlixBKcVdd93FO97xDtasWfNrn/OQQw7hhhtumJOnaY899hhbt27lwgsv3I2+MJfWd8ghh8zJ9W3dupUHH3yQl73sZbtpSeZKg7t+/XqazSYvfOEL5+T6fvaznwGwdOnSOfcez6X1HXXkkXPqS7PT6ZBlGeeffz5RtHd9rVhrufnmmzn66KOJ43ivem0iwo9+9CMWLFjA6OjoXvcdPtfvyc/mM/mNb3yDN77xjXvVZ1JEnlEdFfDbgZLQij3tl9xtt93GQw891PvZyMgIRx11FLfddhvbt29HKcWiRYt4xSteQbPZ/LUf9jzP/cbPwYL2X//1X/n+97/Pxz72MYwxYX2/IdatW8eXvvQlPvnJT87Josg5xyc+8Qn2339/TjzxxDlZcF9yySUA/Mmf/ElY39OgLEvq9fqc2aPp6WlGR0d56KGH9rrpYpZlvP71r+ef//mf9zp7aWstf/M3f8N/+k//if/8n//zXvcdPtfvyc+mNjnooIO499576evr26saAoAkSeZkjbS3I0wIngZpmnLMMcc85WOve93rfvPuSylqtdrc/TBEEcYY4jiekzfP58L6tNbEcTwnT22stRhjMMbMyRuuc67X6MVxPOdO9ObS+pIkmXOfL6UUSZLMybU92yJFa71XvrayLDHGEEXRXvfangv35GdzL1dKEcfxXvm+BYSGIOA/GN0vhrC+fx+6Xzxz/QtyLk5Xdn2P5/rfSMBTYy4fduyNDdjz5Z6wt9+Tn83fWzhFD9ij329nnHHGGWEbAgAajQYvfOELWbRo0Zy80cz19aVpygEHHMDo6OicXJ9SiuHhYZYsWcLg4OCcXOPg4CAHHngg8+fPD+t7jhVeS5cuZfXq1XsVV7v7d7N48WKWLl26VxbOIyMjLFmyhP7+/r3utc31e/Kz+UweeOCBrFixIhxSBOy5z1XQEAQEBAQEBAQEBAQ8f6HDFgQEBAQEBAQEBAQ8fxE0BM8D5HlOu90GPO/wV3EPsyyj0+kAftS6Kyc4z3M6nQ4iQq1W2+Ne40/3u3e9JsuynrizXq/3NAV5ntNqtWZdvydpMc90fd19Bk+j6Ovr61Eodn2Oer2+R3nJv7y+pxINT09P75Yom6YpaZr+VvfPWkun0+kJGBuNxlPSSkSk9x4/1R49k/fgt7m+PM97nz+t9e/08zdX0N2rbh5Lo9F4SspCWZa0222cc8RxTJqmzwkqUbvdJs9zlFI0Go3dNEsiQlEUZFmGtZZ6vf6c0U4823vsXEZRFLTbbUSEJEmo1Wq7fd66n8muIPe38T22pyEitNs+d+RXfSaf6ru+0WjstdqJgNAQBPw7MT4+zgUXXMBtt90GwItf/GJOO+009t9//1nXzczMcOaZZ3LvvfeilGLJkiWceeaZjIyMMDk5ydlnn80Pf/hDAJYtW8bHPvYx5s2bt0fWuHXrVk4//XQ2b94MwKGHHsrpp5++m33hhRdeyJ133kme54gIxx9/PO985ztJ05R//Md/5LTTTuNlL3tZ7/prr712j9wUn+n6rrzySs4880xWrlyJ1poXvOAFnHfeeQwNDbFjxw7+5m/+hk2bNgE+j+IjH/nIHrEx3L59O2eddRYbNmwA4CUveQkf/vCHGR4ennXd+eefzx133NH7ornzzjv5+Mc/zp//+Z/zla98hVNOOYVXvvKVe3z/1q9fzyc/+Uk2bdrE/Pnz+exnP8u+++6723VPPPEE/+f//B82btyIUopDDz2U0047jeHhYcbHxznzzDO57777ADjooIP46Ec/ytDQ0LNe309/+lMuvPBCNmzYgDGGyy67bLe/D4DPfOYzfO973+sVVb//+7/Pe9/7XhqNBtdeey0nnXQSRxxxxB7fv7kC5xzf/e53+cxnPsPk5CRaa0466ST+4A/+YNbrzPOcK664gmuuuQatNfPnz+d973sfhx122Jx+fY8++igf+chHeOKJJ3DOceyxx3LqqafOKhrzPOfqq6/m61//OjfffDP/+3//b0455ZQ5/97tiXvsXMX09DSXXHIJa9euRUQYHR3lr/7qr1i9evWshvyee+7hggsuYHp6GhFh4cKFnHnmmey3335z9rWtX7+ec845h23btuGc461vfSvvec97nvIwqSgKzj33XL7whS9w4YUX8pa3vCUUQAG/cQcasBfj6quvluOOO07+7d/+TTZv3izvec975P/+3/+723VXXnmlHHfccbJ+/XrZtGmTHHHEEfK3f/u3IiJy1VVXycqVK+XHP/6x3H///fLWt75Vzj333D22xk984hNyxBFHyKZNm2T9+vVy3HHHyVVXXbXbdbfccots2rRJtm/fLrfeeqscccQRcu+994qIyKWXXiqvf/3rZXp6uvff73p9l1xyiZx88smyY8cOmZ6ellarJc45ERH55Cc/Ka973etk06ZNct9998nLXvYyufTSS/fI+j796U/L7/3e78nGjRtl06ZN8pa3vEU+//nP73Zdu93u7c3tt98uK1askPvuu6/3Hh9++OG/lf178sknZd26dXLttdfKm970Jnn88cef8rqLLrpI3v72t8vPfvYzWb9+vRxzzDFyxRVXiIjI3//938uRRx4pGzZskA0bNsiRRx4pn/70p/fI+rZu3Sq33367fPvb35ZjjjlGHnrooae87rvf/a6sX79etm3bJnfccYesWrVKvv/974uIyJe//GVZvXr1b2X/5gpmZmbkj/7oj+TCCy+UJ554Qq6//np57WtfKxs3bpx13V133SVr1qyRW265RR599FE5/fTT5d3vfvecf33vfe975d3vfrc8+OCDctddd8no6KjceOONs64pikI2btwo9957r7zqVa+Siy+++Dnx3u2Je+xcxY033ihveMMb5I477pBHH31UPvCBD8iHPvQhybJs1nVbtmyR+++/X8bGxmTz5s1yxBFHyAUXXDCnX9u73/1uef/73y+PPPKIfP/735eDDjpIbrvttqe89h//8R/lxBNPlLe+9a3yz//8z6H4CfiNETQEezGcc9x1110cc8wxrF69mgMPPJBjjz2WW265Zbdrv/jFL3LcccexcuVKli1bxsknn8zatWux1nLDDTfwX//rf+UlL3kJS5cu5fjjj+fSSy/dI2u01rJ27VpOPvlkli1bxsqVKznuuOO48sord7v2yCOPZNmyZcybN4/DDz+8N07t4u677+YP//APOfXUU3nkkUd+5+sDWLt2LW9729s49dRT2bx5c++E6p/+6Z9461vfyrJly1i1ahVve9vbuPbaa/fI+r797W/z9re/neXLl7Ns2TKOO+44vvrVr+52bZqmNJtNms0ml112GWvWrGHZsmW9xzdu3MgJJ5zAKaec0kvk3RPYZ599OPzww3nBC17wtNfdcMMNHHfccbzoRS9i5cqVvPnNb+bWW2/FOcdXvvIVTjjhBFasWMGKFSs44YQT+MpXvrJH1jcyMsIrX/nKX5vefNRRR7Fy5Urmz5/PmjVrMMYwPT3de/zhhx/mhBNO4H/8j//Rm2TsTWi1Wjz44IMcd9xxLFy4kKOPPpr58+f3JlNd/OAHP2DFihUceeSRjI6O8sY3vpHbbrttN7raXEJZllx11VWceOKJHHDAAaxZs4bXvOY1rF27dvZIPYpYvnw5hxxyyHOGKrQn77Fz8ECT9evXs2LFCl760pcyOjrK7//+77N+/fpeCGgXCxYsYOnSpQwPDxPHMRMTE4yMjMzZ11YUBTfddBPHH388ixcv5tWvfjWHHnoo69at2+3ae+65hyuvvJIzzjhjj0xNA56fCA3BXowsyxgfH58VST8yMsKWLVt2u3bz5s2zrlu6dCnj4+O0Wi0ef/xxXvziF/ceGx0d7Y2e90SRMTk5+Rs9f1EUfPzjH2fBggW85CUvAWD16tV84Qtf4Oyzz2ZkZIQ1a9bwwAMP/E7Xt2bNGj796U9zzjnnMDIywgknnNCjCD3wwAOzCuIlS5bskaal3W4zMTHBgQce2PvZvvvuOytd+5exZcsWrr76ak466aQeH3XFihVceumlnH322ey///4cffTRe7QpeCb4xS9+wT777NP7//vvvz/j4+N0Oh0efvjhWQX7C1/4Qh5++OH/sOLx4osvpl6vc/jhhwOeRnf55ZdzzjnnsGzZMt70pjf13vu9BVu3bsUY0ys4tNYMDAwwMTEx67rt27ezcOHCWYVYURRs27Ztzr62sbGxXtryrvfAxx9/fK9o5PbEPXauNnJjY2MsWLCgpxkYGhpiamoK59xu12/YsIEDDjiAVatW8brXvY4TTzxxTn8msyybdU9cvHjxrO9vEWFsbIyLL76YD33oQ09JxQwIeKYIGoK9udvTGmPMrJOSoiiektdcq9UoimJWM7Frqm1X6AmeR7unOKXGGLTWz/j5JycnufTSS7npppv43Oc+R7PZBODlL39575pDDz2U22+/nWuuuYYPfOADv7P1vfSlL+WlL31przl46KGHuPHGG1m+fPlT7u+eOGHsvke7vsdPt38iwle/+lWWLFnCUUcd1fv5YYcd1uN4H3roodx9991ceeWVfOxjH/udfV7jOJ51ivzLn8FdX+Oe2r/fFDMzM1xzzTVcf/31XHbZZT3v9oMPPpiDDz649zn4yU9+wuc//3nOO++8veZ+kiQJIoK1tvdZ6qZfz/pSiaJZ72P3cz+XT9S798Rf/hvdGwLJ9tQ9di5CKdX7vHUd1J/qM7lrk7du3ToeeughPvjBD/K5z32OP//zP5/Tn8ld/5byPKder8+67lvf+hZjY2M8+uijPPzwwzz00EPccccdHHbYYSxevDgUQgHPvGYMW7D3IkkS9t1331knlQ8//PBTCiYPPfTQWaP/O+64g8WLF5OmKUuXLu2JUbunLN3C99kiTVNGR0dnPf/GjRuf8vmnpqb43Oc+x7333sull17K0qVLf+WXRKPR6Ik/f1fre6r9734JH3zwwfzkJz/pPXb33XezfPnyZ72+Wq3Gfvvtxz333NP72f3338+qVaue8vqJiQm++c1v8hd/8RdP61ZRr9d/51SBpUuXzjq1/Ld/+zf2228/kiRh9erV3Hvvvb3H7r333l/5Gn9byLKMq6++mm9/+9ucd955rFy58mk/N7+3GbOkAAActUlEQVTsOvRcx7x584iiiCeeeKJXeG3ZsoUFCxbMum50dHTWdOnhhx9maGhojwjof1sYGBjggAMOmHUPvPPOO3/lPea5hN/GPXYuNTsLFy7kkUce6TWqTzzxBMPDw0/ZFMRxzOjoKK9+9at585vfzPXXXz9nX9vg4CAjIyOz7okbNmyY9f0tIuy///6sXLmSH/3oR9x1111s3bqVTZs2zemJXMAcRZBR7N245ZZb5OCDD5Zrr71Wvve978lrX/taufrqq6XT6ch5553XE0XeeeedcvDBB8t1110na9eulYULF8rXv/51ERH53ve+J0NDQ/K1r31Nbr75ZlmzZo184xvf2GNr/OpXvyoLFy6UtWvXynXXXSeHHHKI/OAHP5BHHnlEzj77bNm8ebOIiFx44YXylre8RW699VbZunWrbN++XTqdTk9Y+4Mf/EB+/vOfy9/93d9Jf3//rxRf/bbW96UvfUnuvvtu+fnPfy6f+tSnZOXKlb39vf7662XVqlWydu1aufbaa2XfffeV7373u3tkfdddd50ccMABcsMNN8g3v/lNecUrXiHf+c53ZMuWLXLOOef0hMMi0hPObtmyZdZzfOELX5A777xTNm/eLJ/97GdlZGREvve97+2R9XU6Hdm0aZP8v//3/+Too4+WW265RR577LHd1veNb3xDjjrqKLn55pvl+uuvl+XLl8tNN90kIiJr166VAw88UP7lX/5F/uVf/kWWLFmym+Dz2azv/vvvl5tuukle+cpXys033yyPPvqoTExMyLnnnit33323iIh88YtflGOPPVb+9V//VZ588knZtm2btNvt3mN33HGHPPDAA3LZZZfJ6Oio3HzzzXvVvaTT6cgpp5wif/mXfyn33XefnHXWWfLGN75RnnjiCbnqqqvkrLPOEhGRhx56SA477DC54IIL5Ic//KH8t//23+T000+f86/voosukiOPPFLWrVsnl156qQwNDcmmTZvk9ttvlzPOOGOWCH3jxo3y8pe/XD7ykY/IT3/6U2m1WnP6te2Je+xcxQ9/+EM56qij5KqrrpJ77rlH3va2t8mFF14oRVHIJz7xCbnuuut6e7Bu3Tp58MEH5dvf/rYcdNBB8vGPf3xOv7azzjpL/uAP/kB+8IMfyKc+9SlZsWKFPPDAA7J27Vo5/fTTxTknRVFIq9WSVqslv/jFL+Rd73qXfPnLX5ayLEMBFPAbITQEzwN87Wtfk9WrV8uSJUvkvPPOk+npaZmZmZE//uM/7hX9IiJXXHGFrFy5UpYvX76bS83Xv/51Oeigg+TFL36xXHTRRXt8jZdccoksX75cVq1aJVdeeaWIiGzatEn+6I/+SH784x+LiMgRRxwhg4ODvf+WLVvWu9l/8IMflGXLlsnixYvlta99rdxxxx2/8/Wdfvrp8uIXv1he8IIXyGte8xpZt27drOf4h3/4B1m2bJmsXr1arrnmmj26vssvv1xWrFghy5cvl89+9rNSFIU8/PDD8o53vKO3jrIs5aKLLpL3v//9uzlwfOxjH5Ply5fL6OioHHvssXLLLbfssbXdd999Mjo6Ouu9e8973rPb+trttlx44YWydOlSWbVqlVx99dWznueyyy6TFStWyMqVK3vuQ3sCmzZtkmXLls1a37ve9S7Ztm2bvOtd75JvfetbIiJy7LHHzrpmdHRULr/8chEROffcc2Xl/2/vzqNzuhM/jn+SkF1iqTXyEDuRpKigSVqiqnUa1HQoYix1amiPaYoMLUdoeyStDsJoiaCcqeWoGUs6KWNXTUtqC0mocoIsyCJk9zz390d+Ho29agner3Oe4+a53+fe+3zd3NzP/X6/97ZubTRo0MDo2rWrsWnTpifyWHLy5EljyJAhRv369Y2ePXsaycnJhmEYxieffGL079+/wklaQECA4enpabz77rvGhQsXHovvN3XqVMPLy8t47rnnjN27d1sDd79+/axlZsyYUWE/MJlMxk8//VTpv9sfPcZWZps2bTI6dOhgeHp6GpMmTbLub2+99ZaxYMECwzDK70TXvn17o0GDBkaHDh2M+fPnG2azuVJ/r/z8fOP99983TCaT0aVLF2Pfvn3W433v3r1vKJ+Xl2eMGTPGiIuL48QHv5uNYfx/xzsAAAAATx3GEAAAAAAEAgAAAAAEAgAAAAAEAgAAAAAEAgAAAAAEAgAAAAAEAgAPTVZWlqKiomSxWKgMAH/I0qVL7+np8tu3b9ebb75506fenjp1Ss8995wyMzN14MAB2djY6NKlSzp69KiCgoJ08eLFx6qOdu/eLR8fn4f+hHagsqhCFQCVw9dff62ffvpJklRWVqbDhw+rZ8+e9/SHHMDjLyUlRcOHD1dRUZFcXV3l6uqqkJAQDR06VK6urtZyhmHIxsbmoW6bp6entmzZomrVqikzM9P6fsuWLRUXFydXV1dlZmZqwoQJGjFihLp16/a7T9B79uwpX19f2dvby83NTS1atFBoaKh8fHxUpcr9PX3p1KmTdu/eLUdHR23dulWDBw9WRkYGOyEIBAAerkGDBmnQoEGSpMuXL2vr1q3y9vamYoCnmKenp8aPH6+WLVtq8+bNmj17tgICApSXl6ezZ8/KxcVFhw8f1uTJk3Xy5EnFx8crLy9PzZs312uvvSYnJyfrsrZs2aJ9+/apXr16GjBggBwdHZWfn68dO3YoOTlZdnZ28vf3l7+/vxwcHCRJpaWlio+P16lTp+Tp6alXX31VderU0aVLl7R69WrrMeuqnJwcbdiwQYMGDVJiYqIOHTqkr776Sjt27FCvXr2UlpamTp06ydPTU4ZhKDExUTk5OQoODr7hJL9x48Zav369qlSpovT0dK1atUqTJ0/WrFmz1KJFCxUWFmrbtm1KSkqSs7OzunXrprZt26qgoEDR0dHq0aOHEhISZDabFRISoiZNmqikpES7d+9WYmKiLBaLvL291a1bN+Xk5Gjjxo0aMGCAtm3bpsuXLysiIkINGzZUs2bNlJqaqlGjRlm3bcmSJWrbtq06duzIToonAl2GgErI2dlZr732mqpWrUplAE/zH2lbWzk7O8vd3V2+vr6qUqWKCgoKtH37dk2fPl0HDhxQw4YNJUkTJ05UamqqnnnmGc2ePVtffvmldTlnz57V2rVrVbNmTa1cuVKRkZHWE/j09HQ1bNhQVatW1eeff66DBw9aP5eQkKCff/5ZXl5e+vbbbxUbG6vi4mLl5eVp4cKFunz5coXtPX/+vJYsWaKSkhLVrFlT1atXV5MmTeTr66tq1app69at2rNnjywWiwoKCrRq1SqdPn36pi0ctra2cnV1VY0aNeTt7a23335bFotF+/fvl8Vi0YoVK7Rq1SrVrVtXZWVlmjhxopKTk1VQUKAZM2Zo5syZcnZ21tGjR/XOO+/IbDYrISFBX3zxhWrWrKmGDRsqPz9fRUVFSktL0xdffCEbGxvVrVtXVapUka+vr5o1ayZ3d3dFRETo5MmTkqTMzExNnjyZ4zOeKLQQAJXE2bNnNWXKFL399tvq3LkzFQKggp07d6qgoEDVq1eXJNWrV08TJkyQi4uLNm/erLNnzyomJkbu7u4KDAzUkCFD1L9/f0lSbm6uIiIiVLt2bfn5+alLly4aO3asGjdubL3ybRiGLl26pO3bt8vf31+S5OHhob/+9a9q0aKFWrdurY8++khpaWmyt7e/4/Z6eXnJZDIpKCjI2mWoc+fO2rVrl/r06aPz58/r9OnTGjhwoOzs7O64PDc3N5lMJqWlpclisWjhwoWaP3++OnToYD1R/+6776ytFgMGDNDrr7+uHj16yNvbW2lpaTp9+rRq1aql0NBQOTo6WpedmpoqSXJyclKbNm3k6Oiofv36WecHBgZqxYoV+uCDDxQXF6fWrVvTnRMEAgD3X0FBgfWqGgBIUlpamoYPHy4nJyfVrFlT06ZNU4sWLSRJJpNJLi4ukqSjR4/K09NT7u7ukqQ2bdrI1tbWOiDYZDKpdu3a1nkWi0VpaWm6dOmS5s6dq6NHj6qwsFCnT59W7969retv2LCh3NzcrCfkjo6OKiwsvKtAcDP+/v5auXKlLly4oP3798vFxUVNmza9q89aLBaVlpbK3t5e2dnZOnTokMaMGWPtFmUYRoUuTFfrqUaNGrKxsVFOTo4CAgK0detWvfnmm/L29lZwcLCef/75O647LCxM48aN09ChQ/Xdd99p9OjR7JwgEAC4/y5cuCAbGxvVqlVLxcXFWrNmjUwmk55//vn7PoAOwOPBw8ND7733nry9veXm5iZb22s9fa/285ek2rVrKz8/X8XFxXJ0dNT58+dlGIacnZ0lSRcvXlRhYaGcnZ2txxp3d3dt3LhRGRkZmjNnjlxdXfWPf/xDJSUl1uXm5+dbfy4pKdGVK1d+V1cZGxsbGYZh/blp06Zq2rSp1qxZo3379umll16yhpg7yc7O1qlTp/T666/LxcVFJpNJH3/8sbWFQJIcHR2t3ZiuHjevdkcyDENeXl6aN2+eUlJS9MMPP2j27NmqUaNGhfXY2trecIe3zp07q27dupo3b55KSkoUHBzMzoknCmMIgEoiNTVVtWvXVmlpqcaPH699+/apdu3aD/3uIQAqDzs7O7m7u6t69eoVwsD1unfvruzsbP373//W8ePH9eGHH6p169bW8QWFhYWKiYnRsWPHNG/ePAUGBsrDw0Nms9kaIlJTU/XDDz9UOIE/cuSI4uPjdfbsWX3zzTdyd3dXvXr17mrbq1atKjs7O6WlpenixYvWMNG7d28tWrRIycnJ6tq16y0/bzablZeXp6ysLH3//feaPn266tSpo/bt28vV1VVdu3bV2rVrlZmZqUuXLikxMVEnTpy47TYlJSXpxx9/VP369eXj4yOz2VwhAEnlLQolJSXW8Qhms1m2trYKCQnR0qVL5evra22ZAQgEAO57ICgrK9OIESNkMpkUGRmpVq1a3VXfWgBPtzp16mjKlCmaOXOmXnjhBWVnZysqKsranaZZs2ZKT09X9+7dlZiYqBUrVsje3l59+/aVvb292rVrp88//1zNmzev0B3Iz89Pu3bt0rPPPqsdO3Zo9OjRd92tsXr16urVq5dmzpypRo0aadOmTZJkHU/g7++vRo0a3faY2KpVK/n6+uq9995TixYtFB0dLQ8PD0nStGnTZG9vr1dffVWBgYGKjY2947Nbzp8/r+nTp8vPz09jxoxRSEjIDWMB2rZtq9DQUL300kvq06ePNWQEBgaqfv36CgoKYkAxnjg2xm8vBQB4ZIKDg5WSkqKwsDCFhYXRTQjAE8UwDFksFmVlZalLly5avXq1OnXq9Fhs+5UrV5SQkKB//vOfioqKkslk4j8UTxTOOIBKoLS0VOfOndPAgQOVnJysrKws61UwAHgSWCwW7dq1S7GxserevftjdQ//WbNmae/evQoODubYjCcSLQRAJZCUlKTBgwcrPj5eCxcuVEpKimJiYio8jRQAHvdAkJqaqpMnT6pdu3aqX7/+Y7PtcXFxcnZ2Vrt27ay3fQUIBADuq9jYWMXFxembb75RSUmJQkNDVadOHUVHR9N1CAAAEAgAAAAAPBjcZQgAAAAgEAAAAAAgEAAAAAAgEAB4SNavl2xsyl/XPS3zD5UFAAAgEACVWH6+NHOm1KfP/S0LAJXFnS5ipKRIc+dKfftKLVtKAwdKsbFSVhZ1Bzxk3GUIeJiKiqSdO6UpU6S9eyvOKy6WHBzurSwAVBb5+dLChdKECTc/ZpWUSF98IYWF3fzzbdpI8fGSpyd1CTwk3OAceJhSU6VXXrn/ZQHgUbvdRYzfsrWVEhNvPf/oUWnNmlsHBgD3HV2GgIfJx0caN05avlxKS5NCQu5PWQB41K5exLhdGJCkqlWlv/9d6txZ2r69vEWhpERat+5amX37qE/cNYvFQiX8QbQQAA+TnV35eID7XRYAHrWrFzGefVZ68UXpnXekDRtuXrZtW+m//5WqV7/2Xpcu16YbN6Y+cVfMZrNyc3P1zDPPUBkEAgAA8Ej93osYvw0DkpSUdG36jTeoT9yRxWJRbm6uzpw5QyD4g+gyBAAAHq3UVGnkyPLpefOkdu2oE9x1GEhPT6dCCAQAAOCxdfCg1KuX9OuvUmSkNGoUdYK7CgOnT59WVlaWzGYzlfIH0WUIAAA8Gnv2lA9EvnRJWrBAGjFCqsKpCW7t6piBM2fOKCsrS6WlpVQKgQAAADyW9u6VAgLKp5cvlwYPLn+IGXAL13cTomXg/qHLEAAAeLhycqTQ0PLpWbMIAyAMEAgAAMBTZf166dix8umwsPKHldnYVHwdOUI9oUIYYMzAg0OXIQAA8HBt3Uod4K4wZoBAADz51q9/MGUBoDLLy6MOcEd0E3p4bAzDMKgGAAAA4OnEGAIAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACggir3+sHc3Fxq7wlUo0YNKgEAAOApQgsBAAAAQCAA7oP16yUbm/JXScmN88eOvTb/+teXX1J/AAAABAI8lvLzpZkzpT59bl8uK4u6AgAAqGSqUAW4Z0VF0s6d0pQp0t69dy7/yy/UGQAAAIEAT4zUVOmVV+6urMUi/fxz+fRXX0l/+Qv1BwAAUAk88C5DeXl5mjp1qkJDQzV8+HDNnTtXZrP5vq/nxIkTOnz48F2VTUpKUnBwsBITEyu8P2vWLL3xxhv3tP6JEydal1dWVqbY2FgNGzZMgwYNUnh4uNLT02/4zJ49e3Tu3LnbnG+nKiIi4ob3ExISNHfu3Ee/9/j4SOPGScuXS2lpUkjIrcsWFl6brlWL3zwAAICnJRAsWrRInp6eWrZsmb788ktdvnxZy5Ytu+/r+eWXX3Tw4MG7Lu/u7q5du3ZZfzYMQ0lJSfdlW5YvX66cnBzFxMTo66+/Vo8ePRQZGXlDuV27dt02EFR6dnblYwdCQyVPz9uX/W0gGDtWeustaeFC6dCh8tYDAAAAPBIPvMvQxYsX5e3tLVtbWzk4OOitt96yXi1PTEzU/PnzZWNjo7p162rChAmaNm2aRo4cKW9vb+Xm5mrs2LFavny5Fi9erO3bt8vJyUkDBw5U165dK6xj9erVKisrU8uWLeXm5qbo6GgVFxerUaNGGj9+vJydnStsV5s2bZSUlCSLxSJbW1sdOXJErVq10o8//ihJyszMVFRUlC5evCg3NzeNHDlSbdu2VUpKimbNmiVJatSokTw8PDR06FDrcktKSvTtt99q+fLlqlq1qiSpR48eunDhgsrKyqzv/fzzz0pMTFRaWpqmT5+uU6dO3VAXV7/bpEmTlJGRodatW+v999+v8D127typxYsXy9bWVoGBgRoxYoRyc3M1Z84cZWRkqGbNmho7dqzq16//aPe0y5evTf/6a/lr8eLynydNkiZPlq77PwIAAMCD98BbCPr3769ly5YpLCxMK1euVFlZmZ599llJ0v/+9z+Fh4dr0aJFql+/vhISEvTCCy8oISFBkvT999+ra9eu2rNnj3755RctWrRIn332mRYsWKCMjAzrOtzd3dW/f3+9/PLL6tixoyIjIzVmzBjFxsaqZs2aWrNmzY1f3NZWrVu31tGjRyVJu3fvVlBQkHV+QkKCgoODtXjxYv3pT39SXFycJOmzzz7TxIkTNX/+fGXd5K45Z86cUYMGDeTk5FTh/YEDB1rDgCS1b99eHTp00OjRo1WrVq2b1oUkHT58WO+++66WLFmi/Px8xcfHW5eRk5OjBQsWaM6cOVqwYIFOnDihLVu2aPPmzfLw8NCCBQv04osvKjk5+dHvab8NBNebMUN6AK1GAAAAqASBwMfHR8uXL9ewYcNUUFCgsLAw/ec//5EkhYWFKTs7W//617+0d+9elZWVKSAgoEIgCA4O1qFDh3Tu3DlNmzZNUVFRKisr08mTJ2+6vvz8fF2+fFne3t6SpMDAwFt2BQoKCtLOnTslSfv371f79u2t8/r27avGjRtr7dq1WrduncrKypSfn6/CwkJ5eXnJzs5OAQEBNyzTcovuLxaLRYZh3LKeblYXktS0aVN5eHjIxsZGXbt2tQYYSTp27JjKysr06aefKiIiQpmZmUpNTZWvr6+2bNmixYsXq2nTpgoODn70e5qvr2Q2lz+fIDdXOnZMiom5Nn/q1Js/uwAAAAAP1APvMhQVFaVx48bJz89Pfn5+evnllzVp0iT17dtX4eHhatGihTp37mw9Aa5Tp47s7e118uRJ5ebmysvLSw4ODhowYIB69OghSSooKJCjo+OtU47ttZxTpUqVW56It2vXTjExMfr111/l6ekpe3t767ylS5fq+PHj6tWrl/r166etW7fesJyioqIblmkymXTmzBkVFRVVaCUYMmSIIiMj5XmLvvY3q4vrv4utra3s7OysP9vb26tjx47W7kUl/39C7eDgoLlz5yohIUHR0dF68cUX73mw9P2Nn7aSvX35q3p1qXlzKSFBio2Vzp0rb0VwcOC3EgAA4GGeoj3oFWRkZGjjxo2Syq+Sp6amqkGDBjKbzUpPT9eoUaPk5+en1NRU692HAgMDNWfOHGsXHj8/P8XHx8tsNuvixYsaPnz4TU/GLRaL3Nzc5OTkpJSUFEnlfezbtm17022rWrWqmjRposWLFyswMLDCvCNHjmjYsGEKCAjQqVOndOXKFbm7u8ve3l5paWkym83ae5N77zs4OKhHjx6Kjo5WaWmpJGnDhg1ycXG5aRgwm823rYvjx48rPT1dhmFo27Zt8vPzs362efPmOnz4sLKzs2U2m/Xhhx/q0KFDWrJkifbs2aOQkBCFhobqwIEDj35PS0yUTp+Wioslwyh/hsHevdJ335XPr1aNMQQAAACPwANvIYiIiNDs2bO1bt06FRUVycvLS2FhYbKzs1O/fv30t7/9Te7u7mrVqpVWr16tV155RUFBQYqJiVF4eLik8v72hw4d0siRI2U2mzVq1Ci5urpWWE+jRo20YsUKtWrVShMnTlR0dLTMZvMNg36vFxgYqI8//lgffPBBhff//Oc/Kzo6Wi4uLvL19dWRI0eUnJys8PBwffTRR3J2dpbJZJKLi8sNyxwxYoRiY2M1YsQIWSwWmUwmTZ069YZyLVu21Ny5cxUZGXnTupg0aZK8vb0VGRmpgoIC+fj4KDg42BpEqlWrplGjRik8PFylpaXq0qWLOnbsqHr16mn69Olat26d6tWrd9vv/9DMmCF9883tdhTpunEXAAAAePBsjNt1bL+N3Nzcp7LCFi5cqMGDB8vZ2VmffvqpunXrJn9//yfm+9WoUePeP9y7t7RhQ/l0cfG17j8FBdJ1Aa6CYcOk2bMld3d+IwEAAB4ynlT8OzVt2lSffPKJcnJy1KpVK3Xs2JFKuRM7O+nbb6WDB6WffirvKtSokRQUJHXvXv4vYwcAAAAeCVoIUMEfaiEAAADAY8eWKgAAAAAIBAAAAAAIBAAAAAAIBAAAAAAIBAAAAACebPd8lyEAAAAAjz9aCAAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAAACAQAAAIDH0v8BM6bGE0EhSAcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('readme_image/GUI_layout.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T08:31:29.933356Z",
     "start_time": "2021-05-15T08:31:29.931767Z"
    }
   },
   "source": [
    "### GUI Documentation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On launch you should have a GUI with the above layout:\n",
    "\n",
    "1. File selection button. Press select, choose your file, and press select again. Then press \"Run\" to import the data to the GUI. You cannot then select a new file.\n",
    "\n",
    "2. Site and specimen dropdowns. These dropdown menus allow you choose a particular paleointensity experiment.\n",
    "\n",
    "3. Minimum and maximum temperature steps (in Celcius) to use for the paleointensity experiment. We recommend using the Zijderveld plot (7.) and pTRM checks to choose which set of temperatures to use. By default, we use all temperature steps to make a paleointensity estimate. Currently it is required to make an estimate for all specimens.\n",
    "\n",
    "4. Statistics about the direction and alteration of the ChRM used for paleointensity estimation. These may help with choosing which set of temperature steps to use. See the standard paleointensity definitons (Paterson et al, 2014, https://earthref.org/PmagPy/SPD/DL/SPD_v1.1.pdf) for more information on these statistics. In addition to these statistics, we present the worst R_hat diagnostic for a specimen. If R_hat>1.1 or R_hat<0.9, it may indicate an issue with the sampler (see 13.). In this case, this box will show up as red, and the specimen may be excluded using the checkbox (8.))\n",
    "\n",
    "4. Arai plot with zero field first steps plotted as red circles, in field first steps plotted as blue circles, pTRM checks plotted as triangles, and pTRM tail checks plotted as squares. Additivity checks are not currently plotted. Circle fits from the BiCEP method will be plotted as green lines under the Arai plot after the site fit (9) has been performed. All plots can be rescaled using the \"move\" button (3rd symbol from the bottom on left side of plot) and right clicking and dragging, or the \"zoom\" button (2nd symbol from the bottom) and left clicking and dragging to zoom in, or right clicking and dragging to zoom out. The \"home\" button (second symbol from the top) resets the plot axis, as does changing the temperatures.\n",
    "\n",
    "5. Zijderveld plot of the data, with x,y plotted as black circles and x,z plotted as red squares.\n",
    "\n",
    "7. Saves the temperatures used for that specimen to RAM. This must be done for each specimen individually to change temperatures before running the sampler (9.). By default, all temperature steps are used for every specimen.\n",
    "\n",
    "8. Checkbox for excluding a specimen. This should only be done if there is no reasonable interpretation of the specimen (e.g. alteration at low temperature, not demagnetizing to the origin). \n",
    "\n",
    "9. The \"Process Site Data\" button performs the BiCEP method on that site and calculates the site level paleointensity. Depending on the speed of your computer and the sampler parameters used (10), this may take a while to run, especially for sites with many specimens. Please be patient.\n",
    "\n",
    "10. Parameters for the MCMC sampler for the BiCEP method. The \"n samples\" slider increases the number of samples used in the MCMC sampler. Smaller numbers will take less time to run but result in lower accuracy in the resulting probability distribution. The \"Sampler\" button changes the parameterization of the MCMC sampler slightly (mathematically, the model is the same, but the parameters being sampled from are specified slightly differently). The \"Slow, more accurate\" sampler is much slower than the \"Fast, less accurate\" sampler, but generally (though not always) results in better sampler diagnostics than the \"Fast, less accurate\" sampler, particularly for sites with small numbers of specimens.\n",
    "\n",
    "11. Plot of the estimated paleointensity for each specimen against Arai plot curvature. The currently displayed specimen in the Arai and Zijderveld plots has a red circle around it in this plot. The blue lines are samples from the posterior distribution for the relationship between specimen level paleointensity and curvature. The y intercept is the estimated site level paleointensity.\n",
    "\n",
    "12. Histogram of the site level paleointensities sampled from the posterior distribution. This corresponds to the distribution of intercepts of the blue lines in (12.).\n",
    "\n",
    "13. Diagnostics for the MCMC sampler (see Cych et al, in prep. or the Stan Documentation at https://mc-stan.org/docs/2_26/reference-manual/notation-for-samples-chains-and-draws.html, https://mc-stan.org/docs/2_26/reference-manual/effective-sample-size-section.html). 0.9<R_hat<1.1 and n_eff>1000 is desired, with R_hat=1.00 and n_eff>10000 being ideal. Tweak the sampler parameters (10.) or measure more specimens if these parameters give poor results (indicated by an amber color for n_eff<1000 or a red color for bad R_hat). Also displayed here is the 95% credible interval for the site and the Category (see Cych et al once again for an explanation). The color of the category box indicates how to proceed. Green (Category A or B): Accept site, Amber (Category C or D): Measure more specimens, Red (Category D): Ignore site.\n",
    "\n",
    "14. Saves figures to file. Currently the Zijderveld plot and Arai plot have to be saved together (as do both site plots).\n",
    "\n",
    "15. Saves the results from the BiCEP method to the MagIC tables (site and specimen tables are altered)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T15:41:35.179499Z",
     "start_time": "2021-05-15T15:41:34.926484Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f912d25b471d45a886e349b3d4b57e88",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(Accordion(children=(Box(children=(HBox(children=(FileChooser(path='.', filename='', title='HTML…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib widget\n",
    "BiCEP.run_gui();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data References and Expected Field Values\n",
    "We follow with a list of DOIs for sites included in our data file as well as the expected field values at those sites. This can be useful for comparison when using BiCEP_GUI."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-05-15T14:49:01.761256Z",
     "start_time": "2021-05-15T14:49:01.730813Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Site Name</th>\n",
       "      <th>doi</th>\n",
       "      <th>Lithology</th>\n",
       "      <th>LAT</th>\n",
       "      <th>LON</th>\n",
       "      <th>Year</th>\n",
       "      <th>B_exp</th>\n",
       "      <th>n_site</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1991-1992 Eruption Site</td>\n",
       "      <td>10.1029/2005GC001141</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>9.80000</td>\n",
       "      <td>-104.30000</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>36.2</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hw108</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.86270</td>\n",
       "      <td>-155.90850</td>\n",
       "      <td>1859.0</td>\n",
       "      <td>39.3</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>hw123</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.07262</td>\n",
       "      <td>-155.71410</td>\n",
       "      <td>1907.0</td>\n",
       "      <td>37.7</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>hw126</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.69000</td>\n",
       "      <td>-155.46000</td>\n",
       "      <td>1935.0</td>\n",
       "      <td>36.4</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>hw128</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.26000</td>\n",
       "      <td>-155.87000</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>36.2</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>hw201</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.36000</td>\n",
       "      <td>-154.97000</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>35.2</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hw226</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.64000</td>\n",
       "      <td>-155.51000</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>39.9</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>hw241</td>\n",
       "      <td>10.1016/j.pepi.2014.12.007</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.52000</td>\n",
       "      <td>-155.81000</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>BR06</td>\n",
       "      <td>10.1016/j.pepi.2007.10.002</td>\n",
       "      <td>brick</td>\n",
       "      <td>60.10000</td>\n",
       "      <td>24.90000</td>\n",
       "      <td>1906.0</td>\n",
       "      <td>49.7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>P</td>\n",
       "      <td>10.1029/2010JB007844, 2011</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.30000</td>\n",
       "      <td>-102.10000</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>44.6</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>VM</td>\n",
       "      <td>10.1029/2010JB007844, 2013</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>40.80000</td>\n",
       "      <td>14.50000</td>\n",
       "      <td>1944.0</td>\n",
       "      <td>43.8</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>BBQ</td>\n",
       "      <td>10.1029/93jb01160</td>\n",
       "      <td>submarine lava flow</td>\n",
       "      <td>9.80000</td>\n",
       "      <td>-104.30000</td>\n",
       "      <td>1990.0</td>\n",
       "      <td>36.2</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>rs25</td>\n",
       "      <td>10.1016/j.epsl.2009.12.022</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>rs26</td>\n",
       "      <td>10.1016/j.epsl.2009.12.022</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>rs27</td>\n",
       "      <td>10.1016/j.epsl.2009.12.022</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>remag-rs61</td>\n",
       "      <td>10.1016/j.epsl.2011.08.024</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>remag-rs62</td>\n",
       "      <td>10.1016/j.epsl.2011.08.024</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>remag-rs63</td>\n",
       "      <td>10.1016/j.epsl.2011.08.024</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>remag-rs78</td>\n",
       "      <td>10.1016/j.epsl.2011.08.024</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>kf</td>\n",
       "      <td>10.1111/j.1365-246X.2012.05412.x</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>65.70000</td>\n",
       "      <td>-16.80000</td>\n",
       "      <td>1984.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Hawaii 1960 Flow</td>\n",
       "      <td>10.1046/j.1365-246X.2003.01909.x</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>19.52000</td>\n",
       "      <td>-155.81000</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SW</td>\n",
       "      <td>10.1016/j.pepi.2008.03.006</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>31.60000</td>\n",
       "      <td>-130.60000</td>\n",
       "      <td>1946.0</td>\n",
       "      <td>46.4</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>TS</td>\n",
       "      <td>10.1016/j.pepi.2008.03.006</td>\n",
       "      <td>lava flow</td>\n",
       "      <td>31.60000</td>\n",
       "      <td>-130.60000</td>\n",
       "      <td>1914.0</td>\n",
       "      <td>47.8</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ET1</td>\n",
       "      <td>10.1016/j.epsl.2007.03.017</td>\n",
       "      <td>basaltic lava</td>\n",
       "      <td>37.80000</td>\n",
       "      <td>15.00000</td>\n",
       "      <td>1950.0</td>\n",
       "      <td>43.3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ET2</td>\n",
       "      <td>10.1016/j.epsl.2007.03.017</td>\n",
       "      <td>basaltic lava</td>\n",
       "      <td>37.80000</td>\n",
       "      <td>15.00000</td>\n",
       "      <td>1979.0</td>\n",
       "      <td>44.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ET3</td>\n",
       "      <td>10.1016/j.epsl.2007.03.017</td>\n",
       "      <td>basaltic lava</td>\n",
       "      <td>37.80000</td>\n",
       "      <td>15.00000</td>\n",
       "      <td>1983.0</td>\n",
       "      <td>44.2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Synthetic60</td>\n",
       "      <td>10.1016/S1474-7065(03)00122-0</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>LV</td>\n",
       "      <td>10.1029/2009JB006475</td>\n",
       "      <td>Lithic Clasts</td>\n",
       "      <td>-23.35261</td>\n",
       "      <td>67.74319</td>\n",
       "      <td>1993.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MSH</td>\n",
       "      <td>10.1029/2009JB006475</td>\n",
       "      <td>Lithic Clasts</td>\n",
       "      <td>46.24550</td>\n",
       "      <td>-122.18650</td>\n",
       "      <td>1980.0</td>\n",
       "      <td>55.6</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>FreshTRM</td>\n",
       "      <td>10.1029/2018GC007946</td>\n",
       "      <td>remagnetized/synthetic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Site Name                               doi  \\\n",
       "0   1991-1992 Eruption Site              10.1029/2005GC001141   \n",
       "1                     hw108        10.1016/j.pepi.2014.12.007   \n",
       "2                     hw123        10.1016/j.pepi.2014.12.007   \n",
       "3                     hw126        10.1016/j.pepi.2014.12.007   \n",
       "4                     hw128        10.1016/j.pepi.2014.12.007   \n",
       "5                     hw201        10.1016/j.pepi.2014.12.007   \n",
       "6                     hw226        10.1016/j.pepi.2014.12.007   \n",
       "7                     hw241        10.1016/j.pepi.2014.12.007   \n",
       "8                      BR06        10.1016/j.pepi.2007.10.002   \n",
       "9                         P        10.1029/2010JB007844, 2011   \n",
       "10                       VM        10.1029/2010JB007844, 2013   \n",
       "11                      BBQ                10.1029/93jb01160    \n",
       "12                     rs25        10.1016/j.epsl.2009.12.022   \n",
       "13                     rs26        10.1016/j.epsl.2009.12.022   \n",
       "14                     rs27        10.1016/j.epsl.2009.12.022   \n",
       "15               remag-rs61        10.1016/j.epsl.2011.08.024   \n",
       "16               remag-rs62        10.1016/j.epsl.2011.08.024   \n",
       "17               remag-rs63        10.1016/j.epsl.2011.08.024   \n",
       "18               remag-rs78        10.1016/j.epsl.2011.08.024   \n",
       "19                       kf  10.1111/j.1365-246X.2012.05412.x   \n",
       "20         Hawaii 1960 Flow  10.1046/j.1365-246X.2003.01909.x   \n",
       "21                       SW        10.1016/j.pepi.2008.03.006   \n",
       "22                       TS        10.1016/j.pepi.2008.03.006   \n",
       "23                      ET1        10.1016/j.epsl.2007.03.017   \n",
       "24                      ET2        10.1016/j.epsl.2007.03.017   \n",
       "25                      ET3        10.1016/j.epsl.2007.03.017   \n",
       "26              Synthetic60     10.1016/S1474-7065(03)00122-0   \n",
       "27                       LV              10.1029/2009JB006475   \n",
       "28                      MSH              10.1029/2009JB006475   \n",
       "29                 FreshTRM              10.1029/2018GC007946   \n",
       "\n",
       "                 Lithology       LAT        LON    Year  B_exp  n_site  \n",
       "0                lava flow   9.80000 -104.30000  1991.0   36.2      53  \n",
       "1                lava flow  19.86270 -155.90850  1859.0   39.3      23  \n",
       "2                lava flow  19.07262 -155.71410  1907.0   37.7      12  \n",
       "3                lava flow  19.69000 -155.46000  1935.0   36.4      13  \n",
       "4                lava flow  19.26000 -155.87000  1950.0   36.2      26  \n",
       "5                lava flow  19.36000 -154.97000  1990.0   35.2      12  \n",
       "6                lava flow  19.64000 -155.51000  1843.0   39.9      11  \n",
       "7                lava flow  19.52000 -155.81000  1960.0   36.0      18  \n",
       "8                    brick  60.10000   24.90000  1906.0   49.7       3  \n",
       "9                lava flow  19.30000 -102.10000  1943.0   44.6      36  \n",
       "10               lava flow  40.80000   14.50000  1944.0   43.8      18  \n",
       "11     submarine lava flow   9.80000 -104.30000  1990.0   36.2      12  \n",
       "12               synthetic       NaN        NaN     NaN   30.0       5  \n",
       "13               synthetic       NaN        NaN     NaN   60.0       5  \n",
       "14               synthetic       NaN        NaN     NaN   90.0      10  \n",
       "15               synthetic       NaN        NaN     NaN   40.0       6  \n",
       "16               synthetic       NaN        NaN     NaN   60.0       6  \n",
       "17               synthetic       NaN        NaN     NaN   80.0       5  \n",
       "18               synthetic       NaN        NaN     NaN   20.0       4  \n",
       "19               lava flow  65.70000  -16.80000  1984.0   52.0       3  \n",
       "20               lava flow  19.52000 -155.81000  1960.0   36.0      22  \n",
       "21               lava flow  31.60000 -130.60000  1946.0   46.4      19  \n",
       "22               lava flow  31.60000 -130.60000  1914.0   47.8      53  \n",
       "23           basaltic lava  37.80000   15.00000  1950.0   43.3       3  \n",
       "24           basaltic lava  37.80000   15.00000  1979.0   44.1       2  \n",
       "25           basaltic lava  37.80000   15.00000  1983.0   44.2       4  \n",
       "26               synthetic       NaN        NaN     NaN   60.0       7  \n",
       "27           Lithic Clasts -23.35261   67.74319  1993.0   24.0      45  \n",
       "28           Lithic Clasts  46.24550 -122.18650  1980.0   55.6      19  \n",
       "29  remagnetized/synthetic       NaN        NaN     NaN   70.0      24  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
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    }
   ],
   "source": [
    "site_info=pd.read_csv('site_info.txt')\n",
    "site_info"
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   "source": [
    "# References\n",
    "List relevant references:\n",
    "\n",
    "Cromwell, G., Tauxe, L., Staudigel, H., & Ron, H.(2015). Paleointensity estimates from historic and modern hawaiian lava flows using glassy basalt as a primary source material. Phys. Earth Planet. Int., 241, 44–56.  doi:89710.1016/j.pepi.2014.12.007\n",
    "\n",
    "Kirschvink, J. L. (1980), The least-squares line and plane and the analysis of palaeomagnetic data,Geophys. J. R. Astr. Soc.,62, 699–718, doi:10.1111/j.1365-246X.1980.tb02601.x\n",
    "\n",
    "Nagata, T., Arai, Y., & Momose, K.  (1963).  Secular variation of the geomagnetic total force during the last 5000 years. J. Geophys. Res.,68(18), 5277-5281.   doi:0.1029/j.2156-2202.1963.tb00005.x\n",
    "\n",
    "Paterson, G. A. (2011), A simple test for the presence of multidomain behaviour during paleointensity experiments,J. Geophys. Res.,116, B10,104, doi:10.1029/2011JB008369.\n",
    "\n",
    "Paterson,  G.  A.,  L.  Tauxe,  A.  J.  Biggin,  R.  Shaar,  and  L.  C.  Jonestrask  (2014),  On  im-proving  the  selection  of  thellier-type  paleointensity  data,Geochem.  Geophys.  Geosyst.,  doi:10.1002/2013GC005135.\n",
    "\n",
    "Selkin, P. A., and L. Tauxe (2000), Long-term variations in palaeointensity, Phil.  Trans.  R.  Soc.London,358, 1065–1088, doi:10.1098/rsta.2000.0574.\n",
    "\n",
    "Tanaka,  H.,  and  T.  Kobayashi  (2003),  Paleomagnetism  of  the  late  Quaternary  Ontake  Volcano,Japan:  directions, intensities, and excursions,Earth Planets Space,55, 189–202.\n",
    "\n",
    "Tauxe, L., and H. Staudigel (2004), Strength of the geomagnetic field in the Cretaceous Normal Superchron:  New data from submarine basaltic glass of the Troodos Ophiolite,Geochem. Geophys.Geosyst.,5, Q02H06, doi:10.1029/2003GC000635\n",
    "\n",
    "Zijderveld, J. D. A.(1967).A. c. demagnetization of rocks:  Analysis of results. In D. W. Collinson, K. M. Creer, & S. K. Runcorn (Eds.), Developments in solid earth geophysics (Vol. 3, pp. 254–286). Elsevier. doi:102110.1016/B978-1-4832-2894-5.50049-5"
   ]
  }
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     "library": "var_list.r",
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    }
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 },
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 "nbformat_minor": 4
}