nlp-course-lecture05-huawei-noahs-ark-lab.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Topic Modeling\n",
    "### ... in a nutshell:\n",
    "\n",
    "<img src=\"https://moj-analytical-services.github.io/NLP-guidance/LDAresults.png\" alt=\"lda\" style=\"width: 600px;\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Partially pased on [this blogpost](https://www.machinelearningplus.com/nlp/topic-modeling-visualization-how-to-present-results-lda-models/) by Selva Prabhakaran."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import re, numpy as np\n",
    "from pprint import pprint\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will need to draw some plots:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We again use Gensim library, but now we work with its topic modelling features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Gensim\n",
    "import gensim, logging, warnings\n",
    "import gensim.corpora as corpora\n",
    "from gensim.utils import lemmatize, simple_preprocess\n",
    "from gensim.models import CoherenceModel\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\Gera\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Unzipping corpora\\stopwords.zip.\n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "NLTK toolkit provides us with a corpus and additional tools:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NLTK Stop words\n",
    "stop_words = stopwords.words('english')\n",
    "stop_words.extend(['from', 'subject', 're', 'edu', 'use', 'not', 'would', 'say', 'could', '_', 'be', 'know', 'good', 'go', 'get', 'do', 'done', 'try', 'many', 'some', 'nice', 'thank', 'think', 'see', 'rather', 'easy', 'easily', 'lot', 'lack', 'make', 'want', 'seem', 'run', 'need', 'even', 'right', 'line', 'even', 'also', 'may', 'take', 'come'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package gutenberg to\n",
      "[nltk_data]     C:\\Users\\Gera\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Unzipping corpora\\gutenberg.zip.\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\Gera\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Unzipping corpora\\wordnet.zip.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import Dataset\n",
    "import nltk \n",
    "nltk.download('gutenberg')\n",
    "nltk.download('wordnet')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us take Lewis Carroll's \"Alice in Wonderland\" and preprocess it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "alice = nltk.corpus.gutenberg.sents('E:/Desktop/alice.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build the bigram and trigram models\n",
    "bigram = gensim.models.Phrases(alice, min_count=5, threshold=100) # higher threshold fewer phrases.\n",
    "trigram = gensim.models.Phrases(bigram[alice], threshold=100)  \n",
    "bigram_mod = gensim.models.phrases.Phraser(bigram)\n",
    "trigram_mod = gensim.models.phrases.Phraser(trigram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.stem import WordNetLemmatizer\n",
    "wnl = WordNetLemmatizer()\n",
    "\n",
    "def process_words(texts):\n",
    "    \"\"\"Remove Stopwords, Form Bigrams, Trigrams and Lemmatization\"\"\"\n",
    "    texts = [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts]\n",
    "    texts = [bigram_mod[doc] for doc in texts]\n",
    "    texts = [trigram_mod[bigram_mod[doc]] for doc in texts]\n",
    "    texts_out = []\n",
    "    for sent in texts:\n",
    "        texts_out.append([wnl.lemmatize(token) for token in sent])\n",
    "    # remove stopwords after lemmatization\n",
    "    texts_out = [[word for word in simple_preprocess(str(doc)) if word not in stop_words] for doc in texts_out]    \n",
    "    return texts_out\n",
    "\n",
    "data_ready = process_words(alice)  # processed Text Data!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Dictionary\n",
    "id2word = corpora.Dictionary(data_ready)\n",
    "\n",
    "# Create Corpus: Term Document Frequency\n",
    "corpus = [id2word.doc2bow(text) for text in data_ready]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The topic modelling we use is Latent Dirichlet Allocation. We have to skip the details here, but you can find all the details in [the original paper](https://ai.stanford.edu/~ang/papers/jair03-lda.pdf)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(0,\n",
      "  '0.073*\"new\" + 0.040*\"including\" + 0.021*\"site\" + 0.014*\"subscribe\" + '\n",
      "  '0.014*\"includes\" + 0.014*\"produce\" + 0.014*\"newsletter\" + 0.013*\"one\" + '\n",
      "  '0.013*\"little\" + 0.011*\"email\"'),\n",
      " (1,\n",
      "  '0.038*\"help\" + 0.038*\"hear\" + 0.022*\"donation\" + 0.019*\"section\" + '\n",
      "  '0.015*\"without\" + 0.014*\"tax\" + 0.013*\"queen\" + 0.012*\"day\" + 0.010*\"alice\" '\n",
      "  '+ 0.010*\"number\"'),\n",
      " (2,\n",
      "  '0.075*\"said\" + 0.032*\"must\" + 0.026*\"alice\" + 0.017*\"king\" + '\n",
      "  '0.016*\"received\" + 0.011*\"keep\" + 0.011*\"unless\" + 0.011*\"give\" + '\n",
      "  '0.010*\"head\" + 0.010*\"people\"'),\n",
      " (3,\n",
      "  '0.077*\"gutenberg\" + 0.074*\"project\" + 0.036*\"work\" + 0.036*\"tm\" + '\n",
      "  '0.029*\"foundation\" + 0.024*\"ebooks\" + 0.020*\"archive\" + 0.020*\"literary\" + '\n",
      "  '0.017*\"donation\" + 0.016*\"information\"')]\n"
     ]
    }
   ],
   "source": [
    "# Build LDA model\n",
    "lda_model = gensim.models.ldamodel.LdaModel(corpus=corpus,\n",
    "                                           id2word=id2word,\n",
    "                                           num_topics=4, \n",
    "                                           random_state=100,\n",
    "                                           update_every=1,\n",
    "                                           chunksize=10,\n",
    "                                           passes=10,\n",
    "                                           alpha='symmetric',\n",
    "                                           iterations=100,\n",
    "                                           per_word_topics=True)\n",
    "\n",
    "pprint(lda_model.print_topics())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us see on the corpus and output model more precisely:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2560x1120 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc_lens = [len(d) for d in data_ready]\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(16,7), dpi=160)\n",
    "plt.hist(doc_lens, bins = 1000, color='navy')\n",
    "plt.text(70, 100, \"Mean   : \" + str(round(np.mean(doc_lens))))\n",
    "plt.text(70,  90, \"Median : \" + str(round(np.median(doc_lens))))\n",
    "plt.text(70,  80, \"Stdev   : \" + str(round(np.std(doc_lens))))\n",
    "plt.text(70,  70, \"1%ile    : \" + str(round(np.quantile(doc_lens, q=0.01))))\n",
    "plt.text(70,  60, \"99%ile  : \" + str(round(np.quantile(doc_lens, q=0.99))))\n",
    "\n",
    "plt.gca().set(xlim=(0, 100), ylabel='Number of Documents', xlabel='Document Word Count')\n",
    "plt.tick_params(size=16)\n",
    "plt.xticks(np.linspace(0,100,9))\n",
    "plt.title('Distribution of Document Word Counts')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "topics = lda_model.show_topics(formatted=False)\n",
    "data_flat = [w for w_list in data_ready for w in w_list]\n",
    "counter = Counter(data_flat)\n",
    "\n",
    "out = {}\n",
    "for i, topic in topics:\n",
    "    if i  not in out:\n",
    "        out[i] = {'word': [], 'importance': [], 'word_count': []}\n",
    "    for word, weight in topic:\n",
    "        out[i][\"word\"].append(word)\n",
    "        out[i][\"importance\"].append(weight)\n",
    "        out[i][\"word_count\"].append(counter[word])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACe8AAAaYCAYAAAAUyrV/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAYmwAAGJsBSXWDlAAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzdd7w0ZXn4/89FRxCQpqCCgAIiBlQQC4hdNFHRGHuLgjVRo8auiYlGv3b9WYnG2LH3LvoAilgQASmioIACUpQqSLt+f9xz4p57Z3dn9+zZU57P+/Wa1/Ps7N5lZ2fumT1z7XVHZiJJkiRJkiRJkiRJkiRJkmZnnaXugCRJkiRJkiRJkiRJkiRJaxuD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiRJkiRJkiRJkiRJmjGD9yRJkiQtexFxUERktdxsqfslafmJiI1axotHL3W/JGltFxHbR8TLI+IbEXF2RFzueL06RMTh1ef4jaXuk6TFFxE/r479ty11nyRJkqSVaL2l7oAkSZIkrXQRsT5wO2Bn4ObAJpQfS10C/Ak4D/hZZl62ZJ2UJElaAhERwKuAlwEbLHF3JEmSJEmSlhWD9yRJkrRqRMS9gO9Wqz+YmU+ZsL7DgUdVq68GtsjMv0xQ30HA16vV78/MQyfpn5ZWRGwJPAZ4OHA3YKMRRTIiTgO+B3wkM49d5C5KmqGIOB+4ac+qv2TmqHFBktYG7wD+aTEbiIjdgVMXs40BHOvXAhHxeuDF1erHZObhE9Z3APAVYLPqqbOA+2bmryepV5IkSZK0MjltriRJklaTHwJ1UN2BC6jvHi3rNgL2m2J9R05Yl5ZIRGwREW8BzgbeCdyb0YF7AAHcFngW8MOI+GVEHBIR6y5ebzWuiHhGNfXT1UvdJ0mrW0QcW407713qPknTEhH3pj1w7y/Ar4ATquVPs+udNHsRcX/gG/QH7p0OHGDgniRJkiStfQzekyRJ0qqRmVcDP65W7xwRtxi3roi4DbDdgKcnDQhsK7dmwrq0BCLiwZQba/9CmRp3IXYF/hv4eUTsv9C+SZIkLUPPqx5fBRwCbJaZu2bm3tXyzSXoozQTEXEw8CXgRtVTJwH3yMxzZt8rSZIkSdJSc9pcSZIkrTZrgAOqdQcCHxuznmEBegcC/zlOZRFxI2DfavWZmfm7MfulJRIRrwReTcmg1+Yc4NvAb4ALgYspGfm2BXYD9gf2aCm3J/B44PtT7rIkSdKSiYgNgAdUq1+bmR9YhOaupmTuG8d2lOu0XmcBl4xRR531W2oVEY8FPkT/PZkfAwdlplknJUmSJGktZfCeJEmSVpsjgVdW66YRvHc9MDe96V0jYv3MvHaM+u4KrF+tWzNmn7REIuK1wMtanroB+Ajwxsw8uUM9OwNPBp4NbDnNPkqSJC0zfwNsUK377GI0lJm/BfYep0xEvB54cbX6JZl5+LT6tbbIzEcDj17qfixXEXEo8F76Z0I6EnhwZl4++15JkiRJkpYLp82VJEnSanMMcE21bpJpbnvLXMv8G41tWfTGqW/OkeN2SrMXEU+mPXDvFGDvzHxyl8A9gMw8MzNfBewIvJGyb0mSJK1Gt2xZ9+uZ90JaQhHxPOAw+u/FfB14oIF7kiRJkiSD9yRJkrSqZOZVwE+q1btGxHZd64iInZh/s/E44BvVy8YNCLxHy7o1Y9ahGYuIXYB3tTx1LHBAZp40Sb2ZeUVmvgi4O3DmArooSZK0XG1ePb4mM69bkp5ISyAiXgm8teWpzwIHN99dJUmSJElrOYP3JEmStBqtaVnXFjw3SB2YdyRw1IjXDBQRGwL7Vat/m5lnj9EnLY13UjIt9joLuH9m/nGhlWfmTyj7xjELrUuSJGmZ2ah6nEvSC2kJRMQbgP9oeerDwKMys84WL0mSJElaS6231B2QJEmSFsGRwMurdQcCn+xYvg7MOyozz4iIc4Htm3V3j4j1OmYP2Y/+m5drOvalT0SsC9wJ2AnYFtgUuBi4ADgxMxc9k1tEbEJ5X7cBbgKs2/Thq5l5Tsc6dgH2pmzTGwOXAr8Ejs3MKxaj3+OIiP2Bg6rVCTxlmtNbZeZFlJt4Y4uIDYA7UzJF3pSyn10I/AE4LjPPm1Y/l6OI2AK4K2U/vDFwGeW9H7tag2MjYnPgtsCulGNvU+BK4I/AucCPZjX9WkTsCuxDOYbXBy4CzgaOzsw/T7mtLYG7ATcHtqa8598AP17t+/mciNgL2Au4GeXvORcBPwd+mpk3dKxjG8qYsQvlmPkTcA6wZjH3m4jYiHLOuC1lv70a+D1wctdpxydoczdgD8p5ckvK+HABcAZwfGYuahBRc66+Y9OHbSjj82XAMZn508Vsu6UvmwC7AbsDW1E++79Qxo3zKcfRxTPqyw6UfXAHyja5mDJ2HZWZly5im39D+Ry2phw/l1H2wVOBX3U9hka0E5RjdJemrS0p1zYXAqdl5okLbWPalsM15dqm2R/3ply3zZ3PLqD8OOQni52ZMCLWA/YFbkcZD66nHAu/olw7LpsAy+Y6d1/gFpRttQVwFeXc9SvgF5l5ydL1sF0zFrwLeGbL0+8C/nna2zkibke5NtyG8rleQRl7fg38bBpjnEaLiJtRro23bZarKcf37yjfTxY9YDMibgvcnnLc3IhyzJyamV/rWH4jSnb4HSjXnNdQxoifZebpi9Lp0u4tKefQmwObARsCf6bsy+dQrvt/lZnXL1YfJEmSpCWVmS4uLi4uLi4uLi6ragE2ofyROXuWk8cof2ZPueuBzZv1h1d13rljfa+syiXwpAne1+2Bj1Juqtb19S6nAf851+8x2ziopb6b9Ty/H/A5yk3/trYf3aGNxwE/HtL/q4GPAbt27dci7UefbmnzU0u9fzd927/5HC4fsS8cD/wrsNEEbRxb1fXeCfs6dj3AM+p9onp+L+AzLcd573IC8PCOfayP7UmWRdkfKYGx9wXeBpwE3DCiH9dRpg5/CrD+tD8zIIAnA78YcQwfDuw8hfe/H/DlIZ/1DZSA7fv1lNmo5XUjx6Yp9PX8YfvthNt7A+AFlKCOQdv7t8DTgXWGtHF3yvTv1w35zD487n48alsDOwL/TbnxOqj/pwDPA9adwmewDfBGSoDesOPkfOADwG0maGPUe74F8P9Rgkva2n7vgDrGXb4xpI9BCWx+PeV8e/2Ium6gHNP/Amwy4bavx9FvVM8/BPjhkD5cC3wd2HtKx+MOlKkqf9lhW14IfBx4EEOOoyFt7Q18iBI8Pqyd8yiBO7eYxntc4PZZlGvKlv1g3OUuM94Or2/pw9TPF5SgyFcy/NyZlHHjcOCOE7ZTn4de0vPc1sCbKEG7g9r/LfDvwMYTtD10DBijnnWARzfjwZUjttf1lDHuFcD2y2FfoVy3fWhAf1835T7tCryPEtg0bDtdBHwQuHXHeg9pqePeC+zr84Yd75Qgs/r75SEL2PcTeM0Y5Y+pyv7PGGU3BJ4PHMfw6/QrgC8AB064DX9e1fe2nuc2AV7G4OvFn3eo/5bA/1CCzge9h1OBpwLRpV8d2tyKMub8esQ+3LsNv0e5Nl7yc6mLi4uLi4uLi4vLNBenzZUkSdKqk5lXAnVWmz2ajENDNb/43qln1Qn510wwk06d2/a6IzuWJSI2iYj/pvxh/HGUTC7D7Ea5ifXriHhq13ZG9GHdiHgT5cb7wygBJePWsW1EfJ1ys3jfIS/dEHgscEJEPGWS/i5Uk93soS1PvXfWfenVbMPPAUdTPodNRxTZG3gD8MuIeMhi928WIuLllOP77ynZ3gb5G+CzEXF4RAx73bIVEQ+mZKT6NvBcYE9KUM4w61IyfnwAOD0i9plif7alZA39ICVjzyAbAo8CTo2IR0zY1roR8WbKzdS/Y/BnHZRp0b8VEe9uskitChGxM+VG8JsogUiD7EgZm74QEfOm+Y6I9SLibcD3gQdQ9o82GwJPAE6Z1j4TEY+kBKocQrmpPMhtKUFWP4qI3RfQ3vMpN39fCOw84uU3pQS4nhwRb2myOy1YRDyWcmP7nygZomYuIu5MyU5zDPBiyvl21N//gnJMvwX4bUTUWWcX0p9NI+IzwBeBuwx56XqUQP3jIuJ5C2zvnZSsXM+jBLeMsjXwGOCrdM/STETcNCI+CvwMeCIly9IwNwOeBfyqOZfN3HK4plzbRMTjKWPTfzD83All3HgU8NOI+HBzPTqNPhwInEwJeLnJkJfuCPwbcFJE3HUabY8jIu4PnAh8gjIe3Gh4CdahjHH/CZzVZKhdMs315uGU8aD2isx86ZTa2Swi3kP5TJ9GCRofZivKDy9OjYg3dbhW+jhQZzR8+iR97XFo9fjEzDx27kGWjM3HVq+5T5eKI2JPynm91rX8pvR/N/1ux7J/RwkSfzMl2+6w6/RNKN8v10TEFyKirc9ja67bTgFey/DrxWF1PJWyP/0jJevdILsD7we+22TFnlhEPBo4nTLm7NKx2CbAPSnXxocvpH1JkiRpuTF4T5IkSatVW3DcPTqUqwPteus5esRr+zQ3ceqbX2dl5m879IWI2Jpy8+AQxr9+3xp4f0S8fsxyfd2gBOu8gNGBQ+0VRGwFHEH/NLTDbAR8ICKeNkmbC/QA+oOFzqT80n9JNIE8P6AE7Y1rB+DzEfHs6fZqtiLiXcBrKEEeXT0K+Mji9GjR7cboYJBhbgUc3dxYXJCI2I4SDNRlHJ2zAXB4RPztmG2tQ8la83zGG/eeyYRTUC83EbET5Xjfc4xiD6bn/Tc35z9BCfzs6iaUQMhRwW9DNTdkD2d0gHGvO1FuaI8VwNcEeh5GuXE+7IZzm/Up2ea+GhE3HrNs3Y9DKFljx3nPi2EHSgDOpLambI8Fn3ubgIgjKMHWXa0DvDUinjFBeztSxqlnM8GPDBqd9oNmWsJjKQFw414bbQS8JiI+Nq3A0S6WyTXlWiUiXkm5Bhk3SCcoAdVHNtNwLqQPBwDfZLzriV2Ab0fE/gtpexwR8UJKtr1RAY6DrAdsPL0ejSciNqYEKdc/WkjguZn52im1c0vK9cEzGO96mOb1LwC+3IzPrZpAuvp66uAuP4Rr0+xHe1Sr39fy0iOqx/fu2MSg1+0bEV2uC+5B/7YcGbzXnKe+yGTn3IcCx0RE16C1QX24M+XvFRMF7TV1PJcSkDfOddA9ge8N249GtPmPlCDRBQUASpIkSavJuF/wJEmSpJViDfCSat2BwGdHlKsD8nqz7f2CMtXU3B+Z94+IdTPz+iH17UN/1ohOWfciYkPgO5QpQmvnUN7LaZTMCDejZLR5SEt7L46IazPzlV3abfEcyg3EORcDX6NkP7uA8gv4WwIPH/A+1mte3xaEcjpl+tdfA38GtqfcgLkffw2eexflF/mzdM+Wdd/LzJxxP4D/C348Crh5y9O/BD5PmSbyCso2vCclALE3KGAd4J0R8ZfMfP+idngRNFm1ntWz6hxKlqSTKNOB3ZiSbe8fgO2q4o+KiM9m5qcHVP9byjS7ULKT9GYwSUoWmFGu7fCahTqTMhXyyZTpFy+jTCe7GSVQbx/KFLu9gacbAR+NiDtk5m8mbHcD4EvMz4pxDCUj4NmUae1uStnvHsz8vzWsCxwWEXv0ZDEd5Y2UgJjaRZRx70TKOLQNJeDrYcBcdqLHUjJKrWQbUm4GzwVsXEe5of1d4PeUoI6dKQECt6/K/n1EPCYzP0HJRNQbRHAa8BXKuHspZfvdCziY+Rn5bgK8kzKF6CR2o5x/5wKarm/6/52m/xs1/T+Y/iCNmwJHRMTfZObFHdt7F/0ZfaAcH1+knKv+QHlft6NskzoY5r7AVyLiXpl5Q8d2e+3D/CDJv1De85GUYzUp4/e9KVPq3cBfxxyA2zD/3H0x8LsRbZ7RsW/nUjI4nkKZTu9yyjTJN276dEfK+aK3/bnzxc8z88cd22nzMeDOPY9/Tpm++QzKPrg1ZUrnh9MfdPOmiPjGGD92uAXwI9qDpC6jfB4/pFy3XEXZH3agZFu6O6MzfPW2tTsleKbOYHY95frzh5TzyqWU7bwz5bpmv+r1j6V81s/p2vakZnhN+Vvm79vjnlOvHPLcihIRL6Fk26tdTbkuPpoy1eeNKWPAI5if/RvK57UmIu7UZBYf19aUz3bD5nFSzt9fo5y/16EEHj2Y/sxjmwBfi4h9MvP0CdruLCJeS5nys81JlODD31CuAzai7Fd7UX4g1SW75qJqApi+TP/3hxuAQzPzf6bUzvaUoOHtq6eSMiZ9n3KteAnl2N2Rct6pv98+kDI96iOHNPce5o9NG1Cy971xgq7XWfv+TDk/1L4LvLrn8bYRsWdm/mJE/YMy7K1Lee9fHrP8aZl57rACEfFkyjaqXUu5Pv4u5fy7MeUc8HBKpuFeO1N+ZLNXZl44oo9tbkKZhndunE7K/vFNyrj+Z8p3ojsxILNdkyX5bS1PXUW5ZvwBZZzanJJ17xGU7/1Qvne1BWEOFRG3olxn1oHvlwLfolwrzPV/I8r3nJ0pf0u4G+P/UEOSJElaGZZ63l4XFxcXFxcXFxeXxVgomW+upfwRe245oUO503tefwOwdfX8l6o67zSivpdUr0/gHzu+h7e0lL2KJhvVgDLbAJ9pKXc9sH+HNg9qKXtdTx2vAW40pPyGHbfBZcBTh9RzG8rNgrnX/7mljpst4v5zbEt7T1/C/fmzLf35I/CEIWV2pgQR1OWuAG4zwTZ475S25ch6KNlE6v33L83/r6QE8a03oOwmlEyR9fs+pWN/67avXsLP/YWUQL3nAbt0LLM18A7K+NX7Pr62gM/sqp7//wzYd0jZPSk3juvt/6KObd+1+bzr8m8GNh5QZjNKxpBh48WjZ/B5nT/JvtOyva/u+f9RwO4Dyq1DmRa1fq+nN9txbh/4I2VK0BhQzx1b+p7AXTr0faOWcr37y0+APYaUfwwleKmu4yMdt91DWspmsz9sPqDM+pTggOtayr1swvfcW9fngVsOKd92npzKeNvU9QhKANUrgD07ltmUEiR/TdWPkwftNy11HD5kPzgTuP+QsjtQgizr7frujm2vTwlIqstf0WyHgdctTflNKFlajwa+0eHzP7GlrQ8O+9ybsndn/nXm3HLwpJ/3GPvFzK8pmzqWzTl1QP9e3/L+Fny+oATL1MdTUr5HbD+gTFCyRl7ZUu6wju3WY3nvcfgr4G5Dyt6XEtBXt31kl3GgZQwYeiz1lHsw/dcsSQlEu3OH8nsC/48S+DPyvDXtfYUSQNX2veEa4JFTbH8d2q/rPwfcekTZvSnXb3XZod9tKAFova8/vcu+UNVxk2o/TOADA167PmXc7n3tc0fUvy4lWHHu9fW+9LYOfTy+KvOuEa/fmRIIX2/PNQy5Xqf8MOWPLeW+2HFb/rwq13vtcfyw44X2a4+tgQtb+vMVYLsh2/tF/PV7WT3OjNzmlGDBus23AzfusA3WpwRbfgz47rSOLxcXFxcXFxcXF5flsCx5B1xcXFxcXFxcXFwWa2m5kXIDsOWQ129Xvf7klte8sHrN80f04estf5zeuUPf/6bl5sM1wIM6vvcPtLR7GiNuuNAevDe37QYGig2pb/uWP+hfBRzQoexGlBuGbf1JFjd4r+3GysCApUXejx/c0pdLGRE42pRdn5LlqC7/rQmOn6UM3ptbLgf261A+KFkn6vJdgpGWTaABsNkCyj615RjebcLPbG75HrBph/K70B9Ad2rHtk9oafdfO5Z9w5DxYiUF780tX6PlZmtL+cNayl7Q/HsxHQK4gANa6nhPh3JtgWxzy4867i93ogR01+UPHFFuA0pWm7rcazpu9yfRfp7dcQHv+b8ZM7BhwD6wkOC9TRkQjNWh7APoD2ocGHRXla0Dd+aWXwA37VB+y5Zj6E/ARh3KvqKl3QvpEPjTUteoz/9NVTvXA08eo/7N6Q/+6xwkOeHnuiTXlE3ZZXNOHdC/xQreawtG/XDHbXZf5gfGzC0DA+96yrYFYiclw/XI62ZKFt/ft5R/YoeyYwfvUYLv2wK4PwCsO+Y23xzYYsb7ynPoD6hKynedv5ty+/V30KTjDyOa8m3fq85jyHUGJZt13ea9x+z381rqGBZkVn93/tKI+u9cvf6LzA+cPWlE+a3oHx8fPqLMV1ve09eA9Ttsj0HXPEPbbMq27WtJCV4f+zsD7dePn6LDNQTlhwJtP7ZJRgfv/bp6/acnPCaGBua7uLi4uLi4uLi4rLRlHSRJkqTVq56eNigBCoMcWD0+quU19bq6zF8bi1iXkmWl1zmZeeaQPsx5Dv1Tybw6M7/WoSzA05g/bRmUqQwP6li+9v7M/MgE5Q6h3Czq9dLMPHpUwcy8mnJj4JIJ2p1YRNyI/qnwoNwQXQrPbVn3rMw8blTBzLyWMiXWedVT94uIPabRuRn758z80agXZWZSbnLW7j/9Li2ezLxsAWU/QMnwMyco051N6gJKQMMVHdo+g/6pxHaPiB2GlYuIe1CCTHp9MTM7TdGWmS+iZOxcDc4DHp+Zf+nw2ldTbn722qb59xk5ero5mjH529XqB3Roe5Argb/vuL8cR/s4908jij6S/imyv5OZr+jSwcz8EPDuavX6zJ+eexwnA89uxp8lk5lX5GRT/5KZ36RMQ9zrHxfQnauAf8jMP3Ro+4/Aa6vVWzB/2t0+EbEJJTik1w3Aw3KCKX8z86whbW0JPLNa/ZrM/N8x6r+UMn1i71TrewB/O0Y3x7XcrilXtYjYnxKg0+tUSsbpkeNDZn4HeHnLU23jZBc3AI/KzJHXsVmmqX58y1P/PGHbozyLErjb61vAIZl5/TgVZealmTnT7wyUKWTrqaivoATGfmVajTTTXtfXtYdl5hu61tHzvar32vJmwBOGFPs8/d8hnta1zUY9rf0JI8bm71aPD2y+Uw9y7+rxl4De+veMiG2HlL8X88fHGygZ9FpFxG0o0w73OpdyjF3bUmSe5pqn7Tpj0uP7CuAx435niIjNKZkAe/0WeFKXa4jM/Azw1nHabNoNynTOvT44bj1NH/48STlJkiRpuTJ4T5IkSavZmpZ1A4PtWp6rg/+gTDl0Zc/jAyJi0HX1HYEbd6hznuaP6Y+tVp9FuUHUSXPDqzXoq2sdPa6l/SbiUM0f559arT4DeGfXOjLzQspUvbPUFrgHJdvdTEXErpSpgXodm5kf61pHczPnpS1P1QEIy93JYwZInETJ+NTrjlPt0fL30erx3RZQ15u6BOD0+HjLulHbv77BewPwgjHahMlvfi43b2iCmUbKzN8z/0b1nOMz89NjtPm56vFOzfloEm/KzN+N8fr/pWSU6fXQiLjpkDL1GDaXBWkcr6A/QPyQiNhgzHoAXpGZ10xQbrmZ5rjxwcw8dYzXf4L+QNRR48Y/UjIn9XpHZn5/jHa7eiZwo57H59MfcDhSZv6akqWs10MX0K+BluE15dqg7frqX7oE9vR4G2Wa214Pj4ibTdCfj3T5wceczPwe84P/AfaJiDtM0PZAEbEe/fvVVZRMlksaBD2G+lxxHSVb6fem3M7jgd7z4Z+BF49bSfO96n3V6oFjT2ZeR5mGvtfDImLrLu1FxAGU4ORedfu1OnhvM2CfIa+vvycd0Sy96gC/YeVPGHH99Qz6g6FflpmXDykzT2Z+FPhhtfoeEbFn1zp6vGtY0PkQj2f++QzKD+yuGqOOV1My5I5jY2C9at3FY9YhSZIkrUoG70mSJGk1+z5lOpde4wTv9WXea25i9P6x/SbA7QfUd4+WdWuGtD/nbpQ/bPf60LhBAZl5JGVas173GpG9oM1Xm5s947otUGfa+lCzDcfxIeZnqFls9baHEkTU+abMFNU3lKBMcTSuw+kPULnvBPUspQ9MUOYn1ePbTKMjK0h943+fCY5/KME0/zNmmRMo05b1GrX968yIa5osfp01AQp1ENhKcwNl3BtH23seN5NJWx27jlkHTLC/NIEadX/Xp2TE6RMRmwL7VauPHjNQjCZLUx1EtSUwbpDKhcDUsiwtsXrc2GHCgCHoD/oYKjMvomT+6TVq3Kgz1l3PBNmAOnp49fjjCwjY/Hr1uO2acRqW2zXl2qC+djuLkk2us+Zaub7uWY/h32MGmeT6qa3MQrKxtrkTJfNbr49lZp3pbSVZD3jUItRbjz1fWECWwXrs2X/ID9GgfO/o/T69Ad0zOddZ+q4ERv0A6XigDp5r+z40l5GwN8v9mU32yDp4r7V8ow7sq8vW6u9PlwGfHFGmTVsQ47B+DjJR1jr6j+c/0f8jjqGagMWx3nuTLa8OEKxnKpAkSZLWSgbvSZIkadVq/qB8fLV677ZMQhGxDSXYbM4ZmXnugKrrKV8H3UhrW79mwGt73bVl3ec7lGvzmerxJgwONhxkzYRt14EVAF8Yt5LmZv5iZNBZCdr2hUm24V/oDyzZLSIGZRlcjtqmsR6lDvyaNIvYshDFfhHxzIh4b0R8MSK+FxE/jYif1wsli1WvG9E/PV0XJ2fmWFkxmsCDs6vVA7d/ROwE1NOajb2vNyYdL5eLkzNz3EwmbVlXxh032+rYYsw6oGT8qz/7Lto+t7bzCJSpVOugoWmdJ6F97B3mBxMEps9MROwVEYdExDsi4gsRcURE/GTAuNGWIfiWEzR7Gf1TrXbRedxuAsfqm/5HT7j/DRURm9E/PeYxC6jyzOrxrhHR9uOBhVpu15SrWkTszPwMaVACrSbJJDeNsWnSa+ivA1dX6waNx5Nq+55UZ/5c7tqmKn1uRLx5Wg00gXX1ODfNsWcL+qcx/T9NFt0vV6tHTp3bfMd4RLX68FHTuzZTttbnoUGZ8+7K/ODkuax9x1KyE84ZFPx3c/p/pFBn/nLU9XwAACAASURBVOt9/abA7arVX2+mJB7X5yg/1ug17vF9fmb+coK2oX9K+q9PGIw+yfmk/nHVv0XESvtRmSRJkjR1dYpqSZIkabVZw/ypdtYB9ge+Wr1uZNa9Ic8dCLyjd0Vzo2X/6nW/75hFqs748xf6p//sqm2arDswXmaqSbNY1VPdXQ2cMmFdxzMgA9MiaJsuaB3KFMhDbzgtgnpfOHOCoJ45x1GmSJoTwN7AtKf2Wiy/nqBM/XmtyOC9JmjkX4En0p/NclxbULKEjWOSbQ/jbf+2qTF/NmG7ddD2SjPJ9r6iZd1YWQsH1LHZBH2Z6HPLzHMi4iKgdzq+QVOmtmXG6zwtZIdy42beW3bZHpuMRP9Mmb5+9wVWN0kQ55lNEMa4xhk39qCcm3stJKhlmP3oDxh9XUS8csL6NmxZtxUwznTTXSy3a8rVbmpjU2aeERGXMP/4G3tsmiRwMDOvjYiTKdnx5oyawnpcdTDgdfQH9Sx3L6RM3V0HXT0/Iq7LzLGntm1xO/rHwRdGxKET1teWLXMr4DdDyrwHOLjn8W0i4l4jpgd+ErBRtW7UlLlzjgAe1vP47hGxUUuQXGvWvMy8JiK+z18zOu8UETtlZv0e66C+a+n/kV6vvejffpMe35dHxK+A3XpWz+TaowlarIOMZ3nN/b/Mzza7GfDtiDgC+DDwtebHe5IkSdJaxeA9SZIkrXZHUm6s9LoH/cF79XRlw4L3fkSZDnKDubIREdXNsb+hTKnba83I3hZbV4/PWEBGn7YpBOv6R5lkylyAbarHZ2ZmPY1xV5NmFZjEoOC4zZl98F79WdVT1o1jGvvCUrmeybZ9Pd3y+lPoy0xFxIMoU09uN6UqJwlgrKcv62qc7V+PFwCnT9juLMeLxTBJgG69ra8fld2mQx0w2TEz6ec2V7Z3XKqzMc5pG7smGh8z85KIOJ/50zfO6jy5KCLizpQMVtOaKny5jhtt+8ekgWmj3Lxl3bSnYl+M4L3ldk252k1tbOope5cR9Q+zkPH4l8wP3hs0Hk+qru/MZkrNleRy4CDKtMh1MOKLIuL6zHzZAttoG3tutcA6a1uNeP7blB8W3Lpn3dMY/gOgOrjw+MzsGpxZZ7/biDIFeL2+N/guq+eP4K/Be3Ovradyr4P3fpyZbT9kmDPt4/tU5gfvLdV3dJhwrMjMCyPiT/T/3WOYj1CmXq7//nKfZsmI+AXwA+CHwJrFyKgrSZIkLTdOmytJkqTV7mj6p6Rpm6apXtc2bRwAmXkV8NOeVVtTsr+MamNgnZU6w82lHcu1uaRl3bhTpU4asDbN97GQsmNpbhy2bbc6Q8EsLLd9YalcN+GUcytaRDyEMnXstAL3YLIf8bUFdU1bW2avSff3mY0Xi2Qa23spp3BdyPavzzeDMr5Nc3+B/vFxVufJqYuI/SiBFtMMLFuu40ZbwMmk2WlHmWTK8XEtxrS5XkfM1nIbm6Y5Hm/UZPSclvr4Xaxjd1E1gfIPoD1r4Esj4j8W2MSSjz3NNfh7q9UPj4jWYLOIOID+78aHde1MZp4KnFetnpdlr5nCdt+eVb/IzAt6Hh9RlW+bOrfO6j5wytzGYh/fW0REjFF+Wt/RYYbf05sA8oOBbw54SVCmZH8G8CHgrIj4dUS8PiLqaYslSZKkVcPgPUmSJK1qmXkp/VPK3Kn5gz8AEbEl5Q/Ec37XMq1OrW3q3F71L8mhe+a9egq4KzuWa9NWtq5/lEmDQDatHk/7fSymtsxd054ubKiIWJf+6aaWel/QjETEzSiZs+qsU1cBhwPPAu4J7EK5mb9xZkbvAtx2hl1eqHq8uC4zr5mwrlmPF5pvmuNUvV/Mqceuhewvbe3O6jw5VRGxMfAp+qc7vg74EvB84L6UTD9bAjcC1qnGjcUIIFssbZ/TsKxJCzHJ1MHLwXK7plzt2rbHNLf5uNt72p/3oDF5EvV7Waxjd9E13zfvT/vUo6+MiH9bQPXLZez5INA7be0GlOxpbZ5WPb4C+NiY7Q3Lsgflu3bvNXL9+uOZHxBaB//tCtyyKlMH/NUW+/heh3Je7mpa39Hb+jKOsctm5p+ABwKPptv0v7sALwZ+ERGfj4idx21TkiRJWu4M3pMkSdLaYE31eD3K1DtzDqD8wnvOsClz5xxdPf6/4L3mF/N18N65mfmrDvVCmYKp1yYdy7VpK1vXv1jqm3DTfh+L6fiWdfu2rFs0zRTDV1erV+q+oPH9G/03CT8H7JCZj8nM92TmkZl5ZmZekpn1vgIrKwinHi/Wi4gNWl852qzHC803zXFqUDBHPXYtZH9pa3eljo3PAXao1n0f2CUzH5qZb83MIzLz9Mz8U2Ze1ZLVdCWNG22f0zSDi3pd1bLuVnXQ9AKXYxeh36vlmnKlaNse09zm427vaX/e0wywq9/LYh27M5GZlwD3oz0Q6d8j4uUTVt029txlymPPFzq8vz8Cn6xW11PjEhE3AR5Rrf5EZo6779bBePtGRG9g+r2r5+cF3mXmDcz/G8C2EbHnkPJXUaZoHWaxj+8bgFlMHd12HM/8e3oWn8zMOwB7AS+jTEE9al85GDg+ItqyKUqSJEkrlsF7kiRJWhu0TVd74ID/Q7fgvR8wfzre3jr2oEylO6oPg9RT6Gw+RtlaW7aGWU1LNc33sZCyk1jTsq6eWmkWVsO+UGeO0wgRsQ79Nz6PAf4hMy8ao6qVNJ1h23SMk+7vsx4vNN9Ctn+dMa5tvxi0fprj44qcvpGSwabXGcBBmXn2GHWspHHjjy3rFqv/F7es23GR2pqm1XAdsZIst7FpmuPx1Zn5lwXUV6uP35U09rRqAtzuC5zY8vRrIuIlE1S7nMae91SPd42Ie1brnkR/5vDOU+b2qLPgrcv8H8f1Bm5dT/t37WFT59aBXz/okMF3sY/vS1oC6hfDtN/Hgq+7M/PEzHxdZj6Asl32pvwg4cu0B7BuBnwuIm610LYlSZKk5cLgPUmSJK0NjmJ+oB0sMHivmR6p98bMTSNi9wH1wXjBexdWj3eJiPXGKN9r95Z14wT/LET9PnZupoKdxG4L7cyYvglcW63bJSJmHcBXb8O2z7OrcfeF+v1PGoS31YTl1mZ3oD8A+L+aLCLj2GlK/ZmFel8H2HXCumY9Xmi+ST+3trIXDHhd2/4y0fgYEZsDN6tWz+o8OTURsRXlZnevt2bmuNPZraRx4/yWdXu2rJuGtn1xsdqaptVyTblSTG1satTns3G390LG47rtQePxpOrjd+eIGGfK0GUpMy+mBIb9ouXp10XEC8esctmMPZn5I/qnBq6nyK0f/ywzfzpBW2cBZ1ar7wP/d77bq2f9TzPzspZqWqfebbLk37N6btSUuTD947suu1Tf0WHCsSIitmbKgbeZeUNmnpCZ/19mPgTYFngm8IfqpZsBr5hm25IkSdJSMnhPkiRJq14zjVGdAWHfiNi4uWnfe7P7gsw8tWPVdZDfgdW/vdZ0rBP6p2zdkMlv0typZV1902Wx1O1sBNx2wrrusMC+jKXZZ77U8tTTZ9kP+veFnZvpqCZR7wtJ+9Rec+qbYPUUriNFxMbA9uOWE7doWff9Ceq560I7MkNt49Kkx/1Mxwv1mWj7R8Qt6Q9aHXS+apvavO1818VSnienaW0cN06l/1x1t0Vq68ct6x6wSG1N02q5plwppjY2RcTO9AfFjLu9924ClcZte33gdgtse5R6muj1gH2n3MaSaLIk3wc4peXpN0bEv4xR3QlAnfFwKceeOvvew5sALiLiAPq/671vAW21Bt9RsqH37tetgXfNd/pze1Yd2PyQbC/6rzfqttqcSMny12vS4/vG9AfMzWQ8zczf0x8IN+m18x0X2J2RMvOKzHwvsA/9wawHNxnLJUmSpBXPC1tJkiStLerMdxtQblDvz/zr4qPHqLN+7VzQ3j2q9edn5i/HqPeHLeseNkb5Xn9fPb6C9kwQi+FHLesOHreSJrvC/gvvztje3rLukRHRFpy5WNr2hUm24YbA31WrT8vMYdOvXVo93nncdoG7sPKmzb2uejxptsiFqLMV3tBk++wsIjYAHjy9Li2uzPwNLTfkJqxu0nKajjs2gXjjavvc2s4jUAKp6hvok54n6ymqoX3sXUzTGHfaspy2TSs7Stv2WJYy83r6AxQPiIgdFqGtc4HTqtX3i4htpt3WlK2Wa8oVoTmX1UExB08SQMd0xqatgbtP0PZB9E99Omg8nlRbVvLHTbmNJZOZFwD3pn/cAHhLRDynYz1X0f+57xMRt1lgFyf1ceZ/R9iQMlUu9Gfdu6J5/aTqoLw9I2JbynYd9rpevUF5m1ECROvylwLHjepMZraNeQdFRH2sdPEw+u/NzfLaow5If2Dz3WFcM7vmzszfAe+qVm9Ff/ZkSZIkaUUyeE+SJElrizUt6w5kgilzh7z2wIjYlf4/II8zZS7AMcCfq3VPGvcP6k32gz2q1d9rbnbPwqnA2dW6J00wXduTWIIAsMw8mjJ9bq8APhgRm06rnYjYKiKeMODpIygZ8nodOkEzj6Q/e8t3RpQ5vXp8uwmmM5ukr0vt8urxek3w4yzVx/86EbHFmHU8jjLN1EryrerxvSJirCk8I+KOmHlvqQXwlLEKlMCWf6xWXwt8r+31zVSwddamA3qmr+/a7ubAo6vVF9OePWsx1ePOJOeYetyAMactb6aG32vkC5eXOkvuusBzF6mtL1ePNwZesEhtTctquaZcSerrqx2B+49TQXOtXI+j1zH+dwqAp05Qpm0Mr8/RC/Uz4HfVusdFxKoJxMnMP1ACxepraoC3R8SzOlZVjz3rAC9fSN8mlZl/Bj5UrT40IrakP+D0403A26TqbHhBybrXG3x3NWWcG6QO7LsP/cF7R44xltXH9+bAozqW7VUHOkK3qXunpf6OuyVjBnY32QMnee8L0faDyM1n3AdJkiRpURi8J0mSpLXFUfQHQS0oeK/JqND7B+TtgUNaXrqma51NvZfRn6VgR+CFXetopgRqyxz37nH6shCZmcD/VKtvDXS9UUUzDdMrptmvMf0T/Te9dwK+MUEwVZ+I2JeSyaQ1K0pm/or+Gzl3jYjHjtHGpsDrWp6qp72q1RkoNmKM7ArNe/uHrq9fRtqyEY4VQDYF57Wsu1/Xwk1WkjdMrzsz8/7q8TrAm8es461T6osW5oURcfMxXv9E+oMuv9gEPgxSj2EBvGOMNgH+k/7A5vdn5rVj1rNQ9bgzyZiz0HFjI0afF5ajDwMXVuueGxGLMX3uWymBIr2eHxFLkR24k9VyTbnCtB1Hb2mmou3qOcBu1brPjhgTB3liRHQOam8yTNfXez/NzKlO6dkES72tWn0j+r87rGiZeR4l4OzXLU+/MyKe3qGawyiB5b2eGBFLlWm43sd3o1zD1RnoDltII8137ZOr1U9g/rFxTGbW43Kv+nvU/enPkt9lytw576X/bwr/1QSyddJ8j6u/+x2ZmfV7XUwfA66q1r1uzCyCr6QE/c3Sdi3r6msASZIkaUUyeE+SJElrhcz8I3BStfouwB17Hl8CnDhm1fXUuc9sec0kWTLeQf+NgX+PiAd2LP9u+gMhTqP/V/aL7f303+h+XUSMnMKryXb2KfoDK2YmM39NCeCr3R04KiJuN0m9EbFpRLwe+AGwy4iX1zc2Ad7d5UZsc6P4k0AdRPPNzDx1RPGj6L+p8x9dsu81U2Z+Ehg3y+Jy0HbjrOtxNy0/Aa6p1r0qIjYeVbAJKv0SZaq8FSUzj6R/nH5YRPxLl/IR8V/035DV0tgU+HTH8eIOtAcGvXNE0U8D51br7hcR/9mlgxHxePrH92tZmoCkety5UxOE21lmnkV/Fqvnd5nWtTnffpL+YKFlr5lS8i3V6nWBz0fEncatLyJ2HNLWecD7qtXrA5+NiLuO21bT3i0j4u0Rseck5TtaLdeUK0Jm/gD4abV6D+D9XabPjYh7A//V8lTb9WAX6wCf7DKmNFNOf7TlqVHj8aQOAy6q1j0wIt7XBI12FhGbT+OHNYuhmXb7XsAZ1VMBvCci2n781Vv+CuBNLWU/PMZxPL9wxDYR8V9NsOZYMvM0+jPj1lnbjsvMkVPRdlAH3/3tiOfnycxzmB84eQ+gDrTrnPGu+W741Wr19sDhXQJ0m2uetuuMSY/viWTmJfQf6ztRMsyPvGcYEQ8Dnj9uuxGxV0T8a0RsNkHZDenPJHpeZtZjiCRJkrQiGbwnSZKktUkdRLch84OLvp+ZN4xZZ52pr57q7oIOQVJ9MvMk+jNIzd0gft6gP6pHxNYR8Un6p+K5ATikyYY3M5n5e+DV1eobAV+LiCcPKhcRt6ZMS3SvZtWwjAqLKjM/SPtN1NsDJ0TEByLitl3qioidIuLVwG+BF9NhOuDM/Crw2Wr15sB3IuJxQ9q6FeXG+oOqp66kPSCxbvdS4HPV6l2Arwy7ARwRD6FMZzmXOWrJPrtJNPvsOdXqV0XEo8adZnABffgz8PVq9Z6UbT9wOrnmBuwxwH7NqssWp4eL6hmU8arXmyPiDYOygUTEjSPifcBLm1Urap9bhea2/12B7w0bHyPikcC36Z/y7KNNMOdAmXkNZX+pvSIiDht0Yzgi1o+IVwIfpAQ/9HpVZtbTvc/CD6vH6wGfiojbj1lPfa64GfDtiLjNoAIRsRclQ/BDmlUrcdx4E/D9at22wJqIeOmowOeI2Dgi/iEijqI/OK/2MuDnA9p6TUSMnKo4IjaMiIc112tnULKsjZPtaCyr5ZpyhXk6JRi41xMpQaWt5/EonkEJwN+wevp9mVlPFd7F3Hh8G+DoYUGmTdDgUcAtqqeOpmS4nLrMvJyyXep96WnAd5sszkNFxO4R8TrgLGCsqdNnKTN/R5mu9TfVUwEcFhH11PG1N9GfIe7GlGvDt0fE9qP6EBHrRcRBEfG/lO8iL6U/kK2rUZlaR42lXY3Kitcl8G7Yay7IzF+M0R8oY3Y93f2DgG9FxM6DCkXEoynfb+trni9m5hfG7MM0vIz+4NlHM3ycWiciXgB8ghIoD+Ndd9+Ekh38nIh4b0Tcp0ugbhNY/xXK96FenxijbUmSJGlZW4lZECRJkqRJrQH+ecjznafM7VFn3qtNknVvzsuA+wB79azbmHID9l8i4jOUzCeXAjelZBJ8KLBJS13/1WQCWQpvomRjuHPPus0ov+x/CSXY4AzK9LTbUW5sPYC/BrZdB7ymWZZEZr48Iq4B/r16al3gKcBTIuIsShDKbyjT9/wJ2IByU393Sra+STPrPJ3y+fZm0NsS+GhEvIISZHcGJTBvO+CelGxxbcFmz22yRnTxGuARzL+JfC/gV83+9yPK+9wc2JVy46o3G+FHmvX7sbL8L2UqqDlbAIcD10bE2ZTtXN9ovk9m1lOaLcR/UoJpeoOL7g2cGRGfpQTpXUS56XoryrbvzTJ1PfAC4L+n2KdFl5nHRMTbgd5sewH8K/DkZr87EfgjsA0le+rDKZ/RnH8HXj+TDqvN/6MEJ29EGfdPjIjvUG5Yn9us34lyXmgbE89l/uc/UGZ+uQncrKcdPBR4ZER8gZIB6wLKDeM9KNN5t027dhRLN930GkrgSW/WtwMp2+4SypS4dTbOH2Tms6t1b6QEvfQGq+0FnBIRX6Jck5zfPH8Lyrn27sz/ce/zWGHTVmbmdU1QxE+Y/9luSgm+f3GzDx5L2ReuoowZO1DGzQP4648vhmaTy8w/R5mq8keUa685GwAvp2Q7/D7l+vA8SlbnG1H2v1sB+1Ky2I3MSjllq+WackXIzJ9FxKuA11VPPRS4f0R8lRJwej5l39uVcr3VFvjzS8r5fBLvAp5Eyca7K/CDZv/8OuWHCkE5Dh5M+7Xa5SxyoGZmfj0iXsP86y4oGdJ+HBEnAN8CzqRMHbsh5f3cnrKf7rFYfZu2zDw7Iu5FGYt7x/ugZGa8PjNbAyWbce6RlLGnN2v3OpRgsmdExA8p57JzKNfnG1PGnlsC+1DGu0mD9WpfoIxxbefTy5leUNUayjVtW4DXZfRnuWzzXfqvE+bUGQRHyszfRMRzKD8C6HVP4NSI+FZT73mUa56dKdeqbfvqeZRrlpnLzIsi4tmUzLu9HgLcNyK+TPm+8QfKd/fdKePUDj2vPRy4LfPPLV1sRvlMng5cEhHHAT8Dzqbsu1dTzj87AXejfP+sf/T2B/rHWEmSJGnFMnhPkiRJa5OjKAE3g6asGjt4LzN/GxHnUG6KtFkzbp09df8lIu4LfI1ys7fXDnSfquYNmVnfEJuZ5mbT31K2RT3N7G6UG8rDPIf+LBUzl5mvjoifU6YCbpuSdEdg6LRXA/wE+MCIti+OiHtQbl7W0+zuzuhtCCVTznMzc2hbVbunRcRL6Z+ScDOaoMUhxY+kBJGs6dreMvIW4AmUQIte6zN4muORWRTHkZnHNdnB6qDVjYHHN8swz6Y/E9VK8UJK8Mhjq/Xb0D41ea9PUqaINHhv6ZxGmdbso5Tz7XrAQc0yygWUQNhxpkB7NuWmfj3+bk4JWnlShzqOAB42QfbdqcjMGyLiecDnW57egvnBqXPOb6nn9xFxKP1T4a1HCRx4+IiuvI4ScLGigvfg/977XSnTGdbXGpsDf98s02jrrIi4MyVwvp6ad2Pgfs2ybKyWa8qVJDNf30zz+O/VUxtTAmAe0aGaE4CDMvPKCbtxUdPOtygBpkEJVj2gQ9krgQdl5ukTtt1ZZr4qIi6nBH/X39P2YvzAoGWrGT/mAvh6vz+uQ/lh0/WZ+bEBZS+OiLsAn+Kv2cnnbEAJ+h57GtxJZOa1EfF++oMuAT7eTPU7jXYujYif0T9uARyZmdd3qOa7DP4bQOcpc6t+/W+T1fWdzA+A3wD4u2YZ5UzgAZl54SR9mIbM/FSTtbHOznoj4FHNMsgvKN/1Rv2YcZQtKMHl9xmjzKXAI5wyV5IkSauJ0+ZKkiRprdH8cffkAU9fCRw3YdXD/mC9kMx7c32+N+VG+rhBBRcDh2bmixfSh2lo3sd9GJHRpvIX4BmZOWpappnJzC9SMpe8nZIpcCFOBB4H7JeZP+nQ9pmUDEmTTKt0NvDwzHznuAUz863AS+jPNDfMJ4AHZuaKnL40My+hBF78eIn78Vrg3xhv218GPCYzpzVd2cw1AVRPotxIHGfcez8lqNGpHJdYZn6c8lmMM04eD9wzM08bs63rM/NQStDnuFO+XksZzx/UTN+4ZJop857IAqetbYI+DqWcQ7u6Bnh+ZnYJBF+2MvMsSoaewyhZeydxQce2zgb2p2Q7nDSwCsrn9CnKeXpRrZZrypUkM19NOa477Ve9RSlBuAdmZl+g7ph9OJKSnXec7MBnAPfPzJn9CCAz30gJeJo0WPAq+qcyXZYy8zeU4LvfVU+tA3yoySQ6qOxFlGvUV1Iye07qOuDLDP5u3MVhlKx4tWlfgw6aOrdT4F2zzU4cs+4u9b4HOJiSOXdcXwbuPkY29EWTmW+jXDeMc/x8H7jXBNdOl7Pw79A/omy7lfojJUmSJKmVwXuSJEla2wwKpvthZk56o3dQxr4LgVMmrPP/ZOYVmflUYG/gY5TpIoc5HXgtcOvMfP9C25+WzPxDZh5EyWg2bIqjayg3su+wHAOQMvNPmfk8SraMf6ZklusSpHYD5QbZO4B9MnOvzPz4OFORNdvwYZSpxL4AjMpqcQLwImC3JvBwIpn5/ygZL75F+026OT8GHpqZj83MqyZtbzlobqbdhTIF1jsox/nvKTedZpadKzP/gxK0+c0R7f6R0s/bZubhs+jbYsrM6zLz+ZRAnK9SgqwG+QEl+OrQBYzjmrImgO/2lGmoh40Hp1Gyft05M09dQHtvBm4NvJnR2VovoEx3d7vMfF5m1lPSLonM/AhlOttDgI8DJ1GuJcYKhG7O/XeinEuHHRNXUrbD7ZtA7RUvMy/LzKdTpvF7L2X6yFHOpWTAPTAznzhGW1dn5osoWVr/A/g53YKHL6J8Nk8FtsvMR2XmuMFdE1kt15QrSXNc35oSjD/qe8GllH1j38x8QmZeOqU+HEGZsvMdTRuDnE3Zl2+fmcdMo+1xZObXKP18KuX6etTYfB3l+uz5wC0ycyGBaDOVmWdQgmnPrZ5aF/hIRPzDkLLXZ+ZrKFm/X0q5/u6Sge5SyveHZ1G210OaQMJJ/Z4ydWmvn2Tm8Quos82gIL1xAu/a6ji7+RwmlplfpmRBfyHlRwjDzgFXAl+i/FDhIQsNzJ2mZny/HeWabdiPCH4FPINyvhw7611mHkfJYP8Q4N2UoMou36uuoQQ8PgK460o61iVJkqSuYoz7RJIkSZKWgYhYlxJIdStgW2BTSjaNC4ATF3oTYlYiYhfgjsD2lPdwKeUm8Q+XOgPSuCJiA8oNj10o72cTyo+lLqHcGD8X+Nm031fT7l0ogYTbAhtSggIuAI7LzN9Ps72mzZtQplu7ObAlJWvQ2cCxTSYiLZKI2JKy7W9BmWLqGspN01OA4ztOHbYiRcRWlEC+mwNbUbJ2/Bb4UWbWN741IxGxEf2BeY+pA0ibqeXuQrnBfRNKMNq5wMmZedIi9W13yri8bdPm5ZSx8deU8Xit+INYRGxKyRC3E2U7XE8JCDwN+OlyCVxcTBFxW8q+tw0laOA6yv5wNnDKAoNX6ra2pFyjbUsZqzahBGxc1rR36mKcmye1Wq4pV5KI2JESPHlT/no+u5ByTvvxQoLQI+L8pt45L83M11evWZ/ymd+OcjxcC5xHuQb/6XIaG5vxaz9gO8rxuwnlhysXA7+kHL9TmZ51pYuIzSif680o+9VmlH3rMkqGv1MpwWpT+3wj4v70Z1U/dG0O9I2I7YB9KMfh1pTvSRdSAsmPzcxxsuIuieba7gDKlOo3pYwRv6dcO42VHblje5tSMtvv0rS3KSWI9XLK9+hTKNeLy37bSZIkSQth8J4kSZIkSZLG1jV4T5K0+LoE70nTEhGfAf6+Z9VlwPaZMrgg2gAAIABJREFUuZCpxCVJkiRpreS0uZIkSZIkSZIkSRqpyTD30Gr1Rw3ckyRJkqTJGLwnSZIkSZIkSZKkLl4ArFete+dSdESSJEmSVgOD9yRJkiRJkiRJkjRUROwO/FO1+luZeepS9EeSJEmSVgOD9yRJkiRJkiRJkjRQRPwt8HVgw+qpf1uC7kiSJEnSqlGnNpckSZIkSZIkSdJaKiJ2Az7ZPNwA2AHYpOWln87MY2fWMUmSJElahQzekyRJkiRJkiRJ0pyNgb1GvOZc4Nkz6IskSZIkrWpOmytJkiRJkiRJkqSuzgTul5kXLnVHJEmSJGmlM/OeJEmSJEmSJEmSBrke+BNwEvB54H8y88ql7ZIkSZIkrQ6RmUvdB0mSJEmSJEmSJEmSJEmS1ipOmytJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiRJkiRJkiRJ0owZvCdJkiRJkiTp/2fvzuPjquv9j7++SdM00DBNqbTsAVr2pShlaQsUhHohCgr6A9lRelEBBS7XX9yu4++ixnsFVBAR8aIssghct4giyFb2HWTfRpZKS007bbo3c35/ZCadJJN0kkxmmpnX8/GYR86c8/1+53smZSbnzeecI0mSJEmSJKnILN6TJEmSJEmSJEmSJEmSJKnILN6TJEmSJEmSJEmSJEmSJKnIRpV6ApIkSRoZGptbrwDOTD+9KdHSdHwp5yNJkiRJkiRVnHisW0ZHPGlGJ0mSNIJZvCdJkpRDY3NrI/DmMAx9b6KladYwjKsCaGxu3R84BTgI2BKoAd4FngSuB1oTLU1R6WYoSZIkSZJUQeKxRoYpoyOenDUM42oo4rFtgH2AD2U9JmS1+Dzx5BWlmJokSdJwsXhPkiRJFa+xubUe+CFweo7NO6YfxwN/bWxuPTXR0vROMecnSZIkSZIkla147DDgV8AHSj0VSZKkYrN4T5IkKbcVwJ/zaHcwMCa9PA94bj3tnx3KpFR4jc2tNcDvgFlZq5cDLwKrgF2AhvT6Q4H7Gptb90+0NC0o5jwlSZIkSZIqkBldZZiAhXuSJKlChSjyrl+SJEmD1djcmgC2TT/9ZaKl6bTSzUaD0djc+iPgnKxVPwa+kWhpWpTeXgucBfwXUJ1u4+2PJUmSJEmSNhTxWIKsjI548rTSTUYDFo8dD9yQfvYO8DjwBJAArs1q6W1zJUlS2fHKe5IkSapYjc2tU4DPZ626PNHSdHZ2m0RL0yrg4sbm1nbgp+nVBzc2t3480dL0myJNVZIkSZIkSSpXjwNHAk8QT66720U8NqlkM5IkSSqSqlJPQJIkSSqh/8u6E1r+CXy5r4aJlqYrgYezVn11GOclSZIkSZIkVYZ48jXiydu7Fe5JkiRVCK+8J0mStAFobG6dCpwAfBjYGhgHtAFvAX8Brk20NL2UxzjZt5iYn2hpmpRevxMwB5idHr8GeBu4A/hpoqXphTzGvgI4M/30pkRL0/ED2LdPAofSefuSTYEUsAB4AbgXuC3R0vRqPuMVSmNzazVwdNaqXyZampatp9tPgP3Ty9Mam1u3TbQ0/X1YJihJkiRJkqTiisfWm9ERT643o+txG9j5xJOT0uv7zeiIJ9eb0RGPdcvoiCfzyujS+7bejI54sqgZnSRJUqWzeE+SJKmEGptbNwJ+DJwKhB6bJ6Yf04AvNza3/gS4INHStHqAr/EF4BJgdI9NO6cfn29sbv1moqXpu4PYhf5edyKd+3YMvfcNOkPCbYEjgO82NreemGhpuiFHu+FyADAh63lrHn3+2OP5R+ncR0mSJEmSJI1U8VjeGR3x2E+AC4gnB5TREY+tN6MjHvsm8WRBMzrisQFldMRjJxJPFjOjkyRJqmgW70mSJJVIY3PrJsCfWXclN4CIzjNd3wcm0RncQeffbecAOzc2tx6VaGlamedrnMa64rK1wHPAEmB7Os/uhc4zfL/T2Nw6JtHS9M1B71D3190VuB3YpsemN4B36AwKNwd2SC8HINbHWPsDD2Wt+nyipemKAkxzatZyCnhkfR0SLU0LG5tbXwF2zDGGJEmSJEmSRpp4bFAZHfHYUcSTeWV0xGOnkWdGRzw2hniyIBkd8VjBMjrisV4ZHfFkITI6SZKkimbxniRJUulcTvdQ8Bbg/ERL09uZFY3NrVOAy+i8lQbA4cB3gfPyGH+TdF+AnwFfTbQ0Lcwae1Z6/eT0qv9obG69O9HSdM+A9yRLY3PrOOAPrAsFI+CnwPcSLU2JHm0b6Lx17eeG8pqDtGvW8rw8bpmb8Rrrivd2KeyUJEmSJEmSVGQ5Mzriya6MjnisoBkd8WRXRkc8NoseGR3x2N3Ek/cMcD+6i8f6zOiIJxM92pYyo5MkSapoFu9JkiSVQGNz68HAiVmrrk60NH2mZ7tES9Orjc2tRwL/C3wsvfpLjc2tVydamp5dz8vUpX/+MNHSdG6Ose9pbG49CHgU2Cq9+jJg9wHsSi4XAdullyPgpERL069yNUy0NC0CfgH8orG5dewQX3egGrOW3xpAv+y22/XZSpIkSZIkSRu2eKxXRkc82SujI558lXisV0ZHPHY18WTeGR3xZK+MjnjyHuKxomR0xJM5Mzriya6Mjnis2BmdJElSRasq9QQkSZIq1Jeylt+l83YbOSVamjqAM4BkelUAvpjn6/wdaO5n7H/Q/Qzh3dIFfYPS2Ny6FXBy1qrL+ircyzGX9sG+7iBtkrWc7LNVb9lt6ws0F0mSJEmSJBVf3hkd8eSwZXTEk70yunRB3+DEY70yuj4L93rPpdgZnSRJUkXzynuSJElF1tjcOho4MmvVz9Z3y9ZES9OCxubW64Cz0qs+TmdYuD5XJlqaVq6nzW3APGCL9PNjgPvyGDuXTwE16eU1wLcHOU6XREvTw3SGoYW2cdby+t6jbCv6GEOSJEmSJEkjRTzWK6Mjnuw3oyOeXEA8NqiMjnhyRGd0xJPDldFJkiRVNK+8J0mSVHx7A7VZz1vz7Pe7rOVNG5tbp+TR5/b1NUi0NKWAP2etmpbnfHI5OGv5/kRL0/whjDXcarKW1w6gX3bbqsbmVk+IkSRJkiRJGnkKktERjxUkoyOeHLaMjnhyQ87oJEmSKprFe5IkScU3OWs5Av6WZ79n+xknlwh4Ic+xs+eQT+DYl12ylp8YwjjFsDxrecwA+mW3XZVoaRpI4Z8kSZIkSZI2DGZ0kiRJKjmL9yRJkoqvIWu5PY/b2ma83884ubQnWppW5Tn2Pwcwbn/GZy0vGMI4xdCetVw3gH4b9TGGJEmSJEmSRo5uGV0et7XNGHBGRzxpRidJkqScLN6TJEkqvuzbcazOt1OipakD6Mhatb6rxeU9NpAdII5qbG6tHkDfbNn7lm/gWSoLs5Y3H0C/7LYL+2wlSZIkSZKkDdmgMjriyaJldMRjlZDRSZIkVTSL9yRJkopvcdZyfb6dGptbNwKyA7vFfbUd6Ng92ranCwUHY1HWcmyQYxTLS1nL2w6g3zZ9jCFJkiRJkqSRY1AZHfFY0TK6dKHgYIykjE6SJKmiWbwnSZJUfNm3qhjd2Ny6ZZ79duhnnFxGNza3bpHn2NsPYNz+vJe1vOMQximG57OWxzY2t05eX4f0FQn3zFr1YsFnJUmSJEmSpGLoltERjw1bRkc8ZkYnSZKknCzekyRJKr4nejzfP89+07OWO4Cn8+izb55jZ7d7Ms8+uTyUtXxQY3NrGMJYw+1+IMp6flAeffam+xnQ9xRyQpIkSZIkSSqaisnoiMc25IxOkiSpolm8J0mSVGSJlqZ5wOtZq07Ks+vJWctPJlqa2vPo8+n1NWhsbt0cODhr1X15zieXO7KHBmYPYaxhlf49PJq16uS+2vbRJgncXdBJSZIkSZIkqTjiyYJkdMSTBcnoiMcqMqOTJEmqdBbvSZIklcbPspaPbmxundlf48bm1mOAGVmrrszzdT7Z2Nz6ofW0uRCoTi+vBn6V59i5/Al4Jev5pY3NrWOHMN5w+5+s5VmNza0H99Wwsbl1a+D0rFXXJ1qaVg/bzCRJkiRJkjTcumV0xGP9ZnTEY4PO6IjHSprREY9tyBmdJElSxbJ4T5IkqTSuBN5LLwfglsbm1j1zNUwX9v0ia9XrwPV5vk4VcFtjc+sOfYx9PvCZrFU/TbQ0/TPPsXtJtDSlgP+btWoKcGe68K1Pjc2tH2lsbp3Vx7b9G5tbo6zH5wY7vxz+B3g16/k1jc2tk3PMYRxwI+tumbsc+M8CzkOSJEmSJEnF1yujIx7LmdGlC/t+kbVmwBkd8VjOjI54rFdGRzw56IyOeDJnRkc81m9GRzz2EeKxWX1s2594LMp6FDKjkyRJqlijSj0BSZKkSpRoaVrU2Nz6WeD3dIZ3E4HHGptbf0nnmbEL0+uOAk5g3UkXa4CTEy1NK/J4mfeB54BDgWcam1uvpPM2r0uA7em8xcchWe3/Dnx9iLtGoqXpN43NrRcD56dX7Qe80tjcegNwF/AunWHo5sA04GhgO+DzwD1Dff0BznVtY3PrZ9LzGg1sQ+fv4QpgLp1nOe8NnJXelnFuoqXpvZ7jSZIkSZIkaQSJJxcRj/XK6IjH8sroiCcHnNERjxUloyOe/A3xWK+Mjnhsg8voOucbewbYaT2tLiUe+0GO9THiyVXDMCtJkqRhZ/GeJElSiSRamv7Y2Nx6PHAdnYVjo4E56Ucuy4BjEi1ND+X5EingJDqL0LYHzks/cvkHcFiipWlJnmP3K9HS9G+Nza3twH+kV42h85azp/fdqzQSLU1zG5tbT6HzzOkxwDiguY/mERBPtDT9rI/tkiRJkiRJGkniyT8Sjw04oyOeHLaMjniyIBkd8eS/EY+NiIwOqE0/+jOK3P9/OxR+OpIkScXhbXMlSZJKKNHS9GtgT+B/gbV9NFtN5y04dku0NN0xwPH/AXwo3X9NjiYdwA3A1ERL02sDGTuP1/4mnWft3p5+nb4sAn4ODGjfCinR0nQT8EHgL3QGqrk8SWeB4/8r2sQkSZIkSZI0/OLJAWV0xJMDy7HiybwzOuLJgmZ0xJMjJqOTJEmqRCGKolLPQZIkSUBjc2sMmAVsBcSAxXTeJuPeREtTe55jHE9n0AcwP9HSNClr24Ss8WuAt4G/JlqaFhRoF/qb1zjgwPRrj6cz7HwPeAF4OtHS1F9wWFSNza1bADOBLek8k3ce8ESipemlkk5MkiRJkiRJwy8e6zOjI57MK6NLX8mvK6MjnpyUtS1nRkc8OewZHfFYvxkd8eQGk9FJkiRVCov3JEmSykh/xXuSJEmSJEmSiqC/4j1JkiQpi7fNlSRJkiRJkiRJkiRJkiSpyCzekyRJkiRJkiRJkiRJkiSpyCzekyRJkiRJkiRJkiRJkiSpyMqmeC90mhlC+O8QwsMhhMUhhNUhhHkhhFtDCIesp/8BIYTfhhDeDyGsCCG8EEL4RghhzHr6bRlCuDKE8HYIYVUI4a0Qwk9DCFsWdg8lSZIkSZI0XEIIR4YQ7gwhtIUQloUQngwhnBNCGFB+FkIYF0I4LoRwUQhhbghheQghCiHcmWd/syZJkiRJkiRVrErL6UYVcrASOxTIvLkp4DVgGTAFOAY4JoRwYRRF3+jZMYRwIvBLoBp4F3gb2B34f8DHQgizoihanqPfrsD9wHggCfwN2AH4V+DYEMLMKIpeKuheSpIkSZIkqaBCCM3Ad9NP3wDagb2AHwGHhRA+EUVRKs/hZgE3DnIeZk2SJEmSJEmqWJWY04UoigoxTsmFEA4DfgJcDNwYRdGi9PrRQBz4Srrpx6Io+kNWv0bgJaAW+DLw/SiKohDCtsCfgZ2AH0dRdHaP16sGngV2BW4FTomiaHkIYWPgGjoLBp8F9h7APxpJkiRJkiQVUQjhAOABIAJOiqLohvT6vejMhiYC/x5F0ffzHO8jwFeBR9OPycB3gLuiKDqsn35mTZIkSZIkSapYlZrTlVPx3ibA8iiK1vax/Y/AEcDvoig6Omv9j4EvAHdEUfSRHn2m0/mPYg2wdRRF87O2fQq4GfgnsF0URUuzttUDbwKbAsdEUfS/hdlLSZIkSZIkFVIIoRU4ErgyiqIze2w7Abiezvxn8yiK1gxi/NOAq1l/KGjWJEmSJEmSpIpVqTndgO4FvCGLomhJX4V7aX9J/9wxsyKEEIBPpJ/+PMeYD9J5Vb4a4Ogem49J/7w5+5eU7rcU+HX66afy2gFJkiRJkiQVVfpk0ExQ1ysbojPfWUJnGHfIME/HrEmSJEmSJEkVqZJzurIp3svDmPTPFVnrtgE2Ty8/0Ee/zPr9eqzff5D9JEmSJEmStGHYGxgNrASe7LkxfQbvY+mnw53xmDVJkiRJkiSpUlVsTlcRxXvpK+xlqh2z39gp6Z+rgHl9dH+jR1tCCKPpLPzL3t5Xv8YQQs2AJixJkiRJkqRiyOQ9b/VzR4de2VChmTVJkiRJkiSpwlVsTjdqqAOMEHPorNBcDfwga31D+ufiKIqiPvou6tEWIMa6wsdF5JZZXwVsQud9kAclhJCZW8dgx5AkSZIkSSoj1emf7/bVIIqirfIYJ5P39JXvZG9r6KfNUBU1a9LgmdNJkiRJkiR1Y043xJyu7Iv3QggfBH6Yfvr1KIpez9qcuZXu6n6GWJX+WZejX399V2Ut1/XRZkCqqqqq199KkiRJkiSpvKVSqUINNdhsqNBKkjVp8MzpJEmSJEmSzOkKMZeyLt4LIWwH/IHON/ZXwPd7NFmZ/jm6n2Fq0z9X5OjXX9/arOUVfbTJV0dVVVV1R4cn9EqSJEmSJFVXV5NKpTryPGu3P4PNhgqt2FmTBs+cTpIkSZLK0cu3l3oGhbfTEaWegSqAOd3Q51K1/iYjUwhhEvAXYHOgFTgtx61xM5cxHBdCCH0MleuyjEkg1WN7X/1SwJJ85y1JkiRJkqSiyedWG/ncsmOozJokSZIkSZJUySo2pyvL4r0Qwng6C/d2AO4FPhVF0ZocTV9N/6wFtuhjuO17tCWKotXAWz2299Uv0cdrS5IkSZIkqbQyec82IYS+7lDRKxsqNLMmSZIkSZIkVbiKzenKrngvhDAW+COwO/AY8LEoivq6ROFbwHvp5Rl9tMmsf6TH+kd6bM+3nyRJkiRJkjYMTwFrgDHAB3tuDCHUANPST4c74zFrkiRJkiRJUqWq2JyurIr3Qgi1wG+B/YDngX+JomhpX+3Tt9H93/TTz+YYbzqwM53/OH7XY/Nt6Z//J4RQ36NfPfCp9NNbBrgbkiRJkiRJKoIoipYAd6af9sqG6Mx3NgH+CdwzzNMxa5IkSZIkSVJFquScrmyK90II1cCNwKHA68DhURS15dH1v4HVwOwQwr+HEEJ6vG2B/0m3uSqKovd69LsVeAnYFLg6hLBRut/GwNXp9X8DfjOkHZMkSZIkSdJw+jYQAWeEED6dWRlC2Au4OP30v9K3zMhs+2QIIRFCmFvAeZg1SZIkSZIkqZJVZE4XOi8+N/Klf2m/Sj99FVjQR9N/RFH0qewVIYRT6Hxzq4B30313B2qAJ4CDoyhaluM1dwfuAxqAJPAaMBmIAW3AgVEUvTC0PYMQwtqqqqrqjo6OoQ4lSZIkSZI04lVXV5NKpTqiKBpViPFCCF8DLkw/fQNopzMbqgJagaOjKOrIan8anVnS36Moaswx3sKsp7XAWDrv7LAka/3ZURTd2KNfUbImDZ45nSRJkiSVqZdvL/UMCm+nI0o9A1UAc7qhK5sr79H5BmdMofP+wrke03p2jKLoGuBA4A9AHbArnf8A4sDMXIV76X5/A/YCrqLzH8se6Z8/A/YyTJUkSZIkSdrwRVH0beBjwF/pPHN2MvAccC49AsE8bZr1GJteV9Nj/Zgc8zBrkiRJkiRJUsWqxJyubK68V86GckZvFEV0dHTg71nKT1VVFVVVVaTvoC1JkiSVnSiKSKVSpFKpUk9FFS6EQHV19aCOvwp9Rq+Ur8HmdH72SgMzlO8ISZIkaVBKcOW9KIIOAsNWzjH5w8M0sMqNOV1p+caVqfb2dpLJJO3t7YaC0gCNGjWKhoYGxo8fT1VVOV2gVJIkSZUslUrR1tbGokWLWLt2bamnIwGdJ1CNHTuWWCzG2LFj199BGmH87JUGz+8ISZIklav2jlEk19bS3lFDimE8YeW114ZvbJUdj8FKxyvvjQADPaO3ra2N+fPnD/OspPI3duxYttpqK8/wlSRJ0ogXRRHvvPMO7e3tpZ6K1KeJEycyfvz4vNp6Rq9KZSA5nZ+9UuEM5DtCkiRJGpQiXXmvbU0t89dsDNU1UDUKQoDhKuCrqh6ecVX2zOmKyzeuzLS3t3cV7tXV1dHQ0EBdXZ3FR1KeOjo6SCaTtLW10d7ezuLFi2loaCj1tCRJkqQhWbRoUVfxyPjx44nFYlRXG96ptKIoYsWKFSxatIgVK1Ywf/58Ro8e7Zm9Kht+9kqD53eEJEmSylF7x6jOwr2aMZ31HJuMpa52NKFqmOo5ajcZnnFVdjwGKy2L98pMMpkEOgv3ttlmG2/5KQ1QTU0NY8aM6SriW7p0qcV7kiRJGvEyxSOxWIyJEyeWeDbSOqNHj6a+vp633nqLFStWkEwmDQVVNvzslYbG7whJkiSVm+TaWqiu6azn2HwzqoaraC+jpmZ4x1dZ8RisdKzsKiNRFHWFgg0NDRbuSUNQX18PwPLly/H24pIkSRrJoihi+fLlwLq/c6UNSVVVVddJU+3t7R6DqSz42SsVht8RkiRJKhdRBO0dnbfKbdhk7PAX7kmD4DFYaVjdVUY6OjpIpVJA55X3JA1ebW0t0Bm2d3R0lHg2kiRJ0uB1dHR0hSyZv3OlDU0mx0ilUh6DqSz42SsVjt8RkiRJKgcdBFIECIG62tGlno7UJ4/Bis/ivTKSXfEaglXa0lBk/zdkNbkkSZJGMo8VNRJ4DKZy42evVDh+R0iSJKkcrPtTNhC86p42YB6DFZ/Fe5IkSZIkSZIkSZIkSZIkFZnFe5IkSZIkSZIkSZIkSZIkFZnFe5IkSZIkSZIkSZIkSZIkFZnFe1IZWLt2LSEERo0aVeqpSJIkSZKG6M477ySEwGGHHVaQ8TxmlKTi8TNXkiRJksqHOZ2KweI9VZRXXnmFEAJVVVX885//zNnml7/8JSEEQgj8+te/ztlm3rx5XW0SicQwzrh4nnnmGb74xS+yxx570NDQwOjRo5k0aRKzZ8/mhz/8IW1tbaWe4qDcdtttxONxnn322VJPRZIkSdIGymPFvl188cXE43GWLFlS6qlIKjN+9vbNnE6SJElSpfJYsW/mdOXL4j1VlB133JGJEycSRREPPPBAzjZz587tWr7//vtztsms32qrrWhsbCz4PItp7dq1nHXWWey9995ceumlvPzyy2y++eZMnTqV2tpa/vKXv3DuuecyefJk7r777lJPd8Buu+02vvWtbxkKSpIkSerThnasuPHGG7PTTjuxzTbbDHqMQrn44ov51re+ZSgoqeA2tM/eDYE5nSRJkqRKt6EdK5rTqRi8DmOFuvOF+aWewoAdtuvEgoxz4IEHcsstt3D//fdz1FFH9do+d+5cxo0bB/T9QZ/5MjjwwAMLMqdSOv7447n11luJxWJceOGFnHrqqdTX13dtf/PNN7niiiu49NJLef755znkkENKOFtJkiRJw6WxubXUUxiwREtTwcbakI4VDzjgAF566aUhjSFpBHn59lLPYGB2OqJgQ21In70bAnM6SZIkSQC0lL5QbMDiyYINtSEdK5rTqRi88p4qTubDObsaO2Os7MpuAAAgAElEQVThwoW89NJLTJ8+nQMOOIBnn302Z9Vy5gvgoIMOGt7JDrMrrriCW2+9lY033ph77rmHs88+u1sgCLDddtvxve99j0cffZTtt9++RDOVJEmSpOHlsaIkFZ+fveuY00mSJElSJ48VVWks3lPFyXzQP/HEEyxfvrzbtsyH/8yZM5kxYwapVIoHH3ywW5slS5bw3HPPdRsr28KFC7ngggvYaaedqKuro6GhgUMOOYQbbrgh53yuuuoqQgicccYZtLe385WvfIUpU6ZQW1vLYYcd1q3tM888w1FHHUVDQwP19fXsv//+3HzzzYN6H9auXct3vvMdAOLxOFOnTu23/e67786RRx7Za/3cuXP5xCc+wcSJE6mtrWXrrbfm1FNP5eWXX845zlZbbUUIgXfeeSfn9pkzZxJC6PVFnL3+hRde4Nhjj2XChAnU1dWxzz77cOutt3Zr/9prrxFC4Prrrwfg5JNP7rqnfQiBCy+8sN/9lSRJklRZhvNYcc2aNVx++eXMmDGDcePGUVdXxy677MJ//Md/sHTp0l5zufPOOwkh9DomzHj88cf56Ec/2nVsOH36dG677TbWrl1LCIFRo/q/0cIf/vAHDjzwQOrr64nFYhx55JE888wz3dpkjlXfffddALbeeutux1TZx2z33XcfH//4x5k0aRI1NTVsuumm7LrrrsyZM4dHH32037lIqmzmdJ3M6czpJEmSJK1jTmdOV2ks3lPF2WuvvYjFYqxZs4ZHHnmk27bsD/qZM2cCvS+z+uCDD5JKpbo+5LK98sorTJ06lYsuuohEIsGuu+5KQ0MD99xzDyeccAKf+cxn+pzX8uXLmTlzJt/73vcYPXo0u+66K6NHj+7afvfdd7Pffvvx+9//nlQqxc4770wikeC4447jkksuGfD78OCDD/L2228zevRozjjjjAH3B7jssss46KCD+M1vfkMIgT333JOlS5dyzTXXsPfee/OnP/1pUOP259FHH2XfffflzjvvpLGxkbFjx/LEE0/wyU9+khtvvLGrXV1dHTNmzOADH/gAADvuuCMzZszoemwI96SXJEmStOEYrmPFZDLJIYccwllnncXDDz9MQ0MDkydP5o033uA///M/OeCAA1i4cGHe8/zzn//MjBkzaG1tJYoidtllF958802OPfZYLr300vX2//GPf8zHPvYxXn/9daZMmcLatWu5/fbbOeigg3j11Ve72k2aNIkZM2Z0HZdOmzat2zFVLBYD4LbbbuOQQw7ht7/9LR0dHey1115sttlmvPXWW1x11VWDLmSRVBnM6dbthzmdJEmSJHUypzOnqzQW76niVFVVMX36dKD3ZVbvv/9+Ro8ezbRp09h3332pqanJ2QbWnWGakUqlOP7443n33Xc59NBDeeedd3jiiSd44403aG1tZaONNuLqq6/mZz/7Wc553XzzzaxatYoXX3yR559/nqeeeorbbrsNgPb2dk466SRWrVrF6aefznvvvcdjjz3GvHnz+K//+i++9rWvDfh9yFSf77nnnl33gx+IJ554gnPPPZcoirjooouYN28ejz32GO+99x5nnnkmK1as4IQTTmDBggUDHrs/zc3NnHHGGcyfP5/HH3+cBQsW8G//9m8AfPnLXyaVSgGw5ZZbMnfuXGbPng3AN77xDebOndv1OOWUUwo6L0mSJEkj23AdK55xxhk88MADzJ49m9dee40333yT5557jn/84x8cffTRPP/885xzzjl5zTGZTHLKKaewevVq5syZw3vvvcejjz7KvHnz+MEPfkBzc3O//Ts6Ovjyl7/MNddcw7x583jyySf5xz/+waxZs1iyZAnf+ta3utp+9KMfZe7cuV2FFrfddlu3Y6o99tgDgK997WukUimuvPLKruO0F198kaVLl3LXXXdxyCGH5LVvkiqTOV0nczpzOkmSJEnrmNOZ01Uai/dUkTKXRs2uwF6+fDlPPfUU++yzD2PGjKGuro4PfvCDPProo6xevbqrXeaDv+flVe+44w6eeuop6urquPHGG7s+OAGOPPJIvv71rwPQ0tKSc04dHR3ceOON7LTTTl3rxowZA8D111/PvHnz2Hrrrbnyyiupq6sDOr+0/v3f/53DDz98wO9B5pKq22233YD7Avz3f/83HR0dHHvssZx//vlUVVV1zfnyyy9n5513ZtGiRVxxxRWDGr8ve+yxB5dccknXexNC4Nvf/jYf+MAHePvtt3n++ecL+nqSJEmSKkehjxWfeuopbrnlFrbbbjtuvfXWbsdf48eP57rrrmPLLbfk5ptv7jpG6891113HggUL2G233fjJT37S7bjoS1/6Ep/61KfWO8aZZ57JySef3PV8k0024eKLLwbg9ttvX2//nl599VUmTJjAnDlzuo4LM3M69NBDaWpqGvCYkiqLOZ05nSRJkiT1ZE5nTldJLN5TRcp8SD/00EN0dHQA8PDDD7NmzZquS6sCzJgxg5UrV/LYY48BsHr16q77gB900EHdxrzjjjsAOO6447oFghlf+MIXqKmp4Y033uC1117rtX2vvfZir732yjnfP//5zwDMmTMn5z3Rv/CFL/S/wzlk7te+8cYbD7gvwF/+8heAnJXnVVVVXesz70uhfPazn+1WHQ9QW1vLnnvuCcAbb7xR0NeTJEmSVDkKfayYuUrT8ccfz9ixY3u93tixYzn00ENJpVK9bu+RS+Y47JRTTqG6urrX9tNPP329Y+S6HePUqVOpqamhra2NZDK53jGybb311rS1tfHXv/51QP0kKcOczpxOkiRJknoypzOnqyQW76kiTZs2jdraWtrb23n66aeB7vdGz5gxY0a3bY8//jgrV65k7Nix7L333t3GfOWVVwC63TM9WywWY8stt+zWNtsuu+zS53wz7ftq01/fvtTX1wOwbNmyAfdduHAhbW1tQN/7u9tuuwG593Uodthhh5zrN9tsM6Dz1iWSJEmSNBiFPlZ87rnnALjllluYOXNmzkcmTMvnjN5XX30VoKsooqe+1meEENh+++1zrp8wYQIw8GOq8847j1QqxYc//GGmTZvGV77yFVpbWz02k5Q3czpzOkmSJEnqyZzOnK6SWLynilRbW8u+++4LrLvM6ty5cwkhdH24w7oP/ew2AAcccECvM2szH3iZcCqXiRMnAuvOps3W35m1mbFznSmcPe5AZALKN998c8B9M/Opqqrq+uLoa0659nUo+nqfMpd9jaKooK8nSZIkqXIU+lgxc3bsq6++ygMPPJDzkQkDV6xYsd75ZYo6MkUePfW1PqOqqqrrFh65tsHAj6m++MUv8otf/II999yTxx9/nJaWFj760Y+y2Wab8bnPfY4lS5YMaDxJlceczpxOkiRJknoypzOnqyQW76liZd8jvaOjg4ceeohddtmF8ePHd7XZbLPNmDx5Mg888ABRFHV94GffGz0jc2nVBQsW9Pma8+fPB9b/Qd3X2O+//37O7f29Zl+mT58OwLPPPsvixYsHNZ9UKsXChQtztulrXzO30ujri2YwZxhLkiRJUqEU8lgxc+x09dVXE0VRv4+vf/3r651bpkiir7NlC12Uka9TTz2VZ555hnnz5nHDDTfwmc98hqqqKn76059yyimnlGROkkYWczpzOkmSJEnqyZxu4MzpRiaL91SxMvc3nzt3Lk8//TTt7e3dLq+aMXPmTBYvXsxzzz3Hgw8+COQOBXfccUcAXnjhhZyvl0wmuyq1M23zlWn/0ksv5dz+4osvDmg86AwFt956a1avXs1VV101oL4TJkzo+kLsa3+ff/55oPe+Zr7E+go4X3/99QHNZX0yIaQkSZIk5aOQx4qZ2xf+7W9/K8jcMsdXzz77bM7tmdt/FNJAjqk233xzjj/+eH7+85/z8MMPE0Lgt7/9bZ/Hf5KUYU5nTidJkiRJPZnTdWdOV74s3lPFmj59OtXV1SxYsICf//znADk/6DOXXL3iiitoa2tj9OjR7Lfffr3afeQjHwHgpptuyvmB95Of/IQ1a9awww47MHny5AHNdfbs2QBcddVVdHR09Np++eWXD2g8gFGjRtHc3AxAPB7vuk98X55//nn++Mc/9prTpZde2qttFEVcdtllwLr3JSNz3/bHHnusV7+bbrqp4BXodXV1QH6XtpUkSZKkQh4rHnPMMQBce+21tLW1DXluhx9+eNd4qVSq1/Zf/OIXQ36NngZ7TLX77rt3ndE8b968gs9LUnkxpzOnkyRJkqSezOm6M6crXxbvqWLV19ez1157AZ2XRoX+P+gzbfbZZ5+uD8Vss2fPZu+992bFihV8+tOf7nabij/96U9ceOGFAF1B3ECceOKJTJo0ib///e987nOfY+XKlUDn7TAuuugi7rjjjgGPCfD5z3+ej3/84yxbtoxZs2bx4x//uFco99Zbb/HVr36VadOm8cYbb3Stv+CCC6iurubWW2/lBz/4QdcX0qpVqzj77LN58cUXaWho4Mwzz+w23hFHHAFAS0tLt7N3H3nkEc4991xqamoGtS99yYSQ9913X0HHlSRJklSeCnmsuN9++3HMMcewYMECZs+ezTPPPNNt+9q1a7n77rv59Kc/nbMApKcTTzyRzTbbjOeee46zzjqLVatWAesKM2666aYB7u36ZY6p7r333l7b2traOOGEE7jvvvu6hZQdHR1ccsklLF26lPr6eqZMmVLweUkqL+Z05nSSJEmS1JM5XXfmdOXL4j1VtMylUleuXMkWW2zBdttt16vNzjvvzKabbtoVxGUuzdpTCIEbb7yRLbbYgrvuuoutttqKffbZhx122IEjjjiCZcuWcfrpp3PGGWcMeJ719fVce+211NbWctVVVzFp0iT23XdfttxySy644AK+/e1vD3jMzJxvvvlmzjzzTJYsWcLZZ5/Npptuym677cZ+++1HY2Mj2267Ld/97nfZaKON2GOPPbr6fuhDH+KSSy4hhMB5553Hlltuyb777sukSZO4/PLLqaur41e/+hWbbbZZt9c844wz2HnnnUkkEuyyyy7sueee7LTTTuy///4cdthh7LvvvoPal74cc8wx1NTUcN1117Hddttx0EEHMWvWLK699tqCvo4kSZKk8lHIY8Wrr76aQw89lCeeeIKpU6fS2NjI/vvvzx577EF9fT2HHnooN954I1EUrXdesViMa665hpqaGq644opux4bnnHMO3/nOdwCorq4e7K73ctxxxwHwr//6r+y5557MmjWLWbNm8dxzz5FKpbjhhhs4+OCDicViTJ06lWnTpjFx4kTOP/98Qgj86Ec/YqONNirYfCSVL3M6czpJkiRJ6smcbh1zuvJl8Z4qWvZ9znNVaENncDZ9+vScfXracccdefrppzn//PPZeuut+dvf/sbChQs5+OCDuf7667su5ToYhx12GA899BBNTU0AvPDCC2y77bbcdNNNnHfeeYMeN/Nl8uSTT3LWWWex44478u677/LUU0+xcuVKDj/8cH70ox/x+uuvc/DBB3fre84553Dvvfdy9NFHs3btWp5++mk22mgjTj75ZJ588kn+5V/+pdfr1dXVcc8993D66aczbtw4XnnlFaqrq7n44ou55pprBr0ffdlxxx353e9+x0EHHURbWxtz587l3nvv5e9//3vBX0uSJElSeSjkseImm2zCHXfcwbXXXsvs2bNZtmwZTz75JG1tbUydOpXm5mYef/xxRo0aldfcPvKRj/Dggw9y5JFHEkURL7zwAttssw0333xzVxFKfX19vru6XqeddhqXXHIJu+++O6+++ir33nsv9957L8lkknHjxnHNNddw0kknsdVWW5FIJHjhhReYMGECJ598Mk8//TSnnXZaweYiqbyZ05nTSZIkSVJP5nTrmNOVr5BPxahKK4Swtqqqqnp9l+Zcs2YNr732GgCTJ08u+G0NpErif0+SJEkqF/5tWzkeeeQR9t9/fz70oQ/x+OOPl3o6AzLQf6fV1dWkUqmOKIryS1OlAjGnk4rP/54kSZJUFC/fPqzDr0kFXls5DkaPZfK2m1OTZ4HYkIyJDf9rKCdzOg2EV96TJEmSJEkqA1dffTUAM2bMKPFMJEmSJEmSpMplTqeBsHhPkiRJkiRphLjrrru4+eabWb16dde6NWvW8P3vf58rr7yS6upq5syZU8IZSpIkSZIkSeXPnE6F4iULJUmSJEmSRog333yTOXPmUFNTw/bbb099fT0vv/wyS5cuBaClpYXdd9+9xLOUJEmSJEmSyps5nQrFK+9JkiRJkiSNEAcffDBnnXUWU6ZMYcGCBTz99NPU1dVx1FFHceedd3LBBReUeoqSJEmSJElS2TOnU6F45T1JkiRJkqQRYsqUKVx22WWlnoYkSZIkSZJU0czpVCheeU+SJEmSJEmSJEmSJEmSpCKzeE+SJEmSJEmSJEmSJEmSpCKzeE+SJEmSJEmSJEmSJEmSpCKzeE+SJEmSJEmSJEmSJEmSpCKzeK+MVFWt+3V2dHSUcCbSyJdKpbqWQwglnIkkSZI0NNl/z2b/nSttSLJzjOx8Qxqp/OyVCsfvCEmSJJWDqq7DxIiODo8TteHyGKz4fJfLSFVVFaNGjQIgmUyWeDbSyLZs2TIAqqurqa6uLvFsJEmSpMHL/ps283eutKHJ5BijRo0yFFRZ8LNXKhy/IyRJklQOqogYFVKQ6iDZvrzU05H65DFY8Y0q9QRUOCEEGhoaeP/992lra6Ojo4P6+npqa2u9cpiUp1QqxbJly1iwYAEA9fX1/vcjSZKkES2EQH19PYsXL+76O3fjjTc2eFHJRVHEqlWrWLp0aVco2NDQ4DGYyoKfvdLQ+B0hSZKkchMCNIxaxftrR9G2eElnPcfGG1E7etTw/Z27Zs3wjKuy4zFYaVm8V2bGjx/PihUraG9vJ5lMegU+aQhGjx7NhAkTSj0NSZIkacgmTJjA8uXLWb16NfPnzy/1dKScxo4dy/jx40s9Dalg/OyVCsfvCEmSJJWD8aNWsiI1ivY1kEyuJbmkvbOqj2EqkKpaMDzjqux5DFZcIYqiUs9B6xFCWFtVVVWdfV/p/kRRxOLFi1m6dCnLly/H37E0MNXV1dTX1zNhwgRqampKPR1JkiSpINasWcPChQtZunQp+R5fSsMthMBGG21EfX0948aNy/ts3urqalKpVEcURZ6YqqIaaE7nZ680eIP9jpAkSZIG5eXbi/IyUQSLO2pZuraG5akahrWaY0xsOEdXmTGnKx2L90aAgYaC2aIooqOjwwI+KU8hBKqrqw0DJUmSVLY8TtSGYijHX4aCKpXB5nR+9koDY0YnSZKkoitS8V62KIIOAsN2qDj5w8M0sMqNOV1p+caVuRACo0b5a5YkSZIkdfI4UZKKz89eSZIkSVJPIcAoomG7ay7eZU4aEapKPQFJkiRJkiRJkiRJkiRJkiqNxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBWZxXuSJEmSJEmSJEmSJEmSJBVZ2RTvhRC2CyHMCSH8LITwTAhhbQghCiF8vZ8+UZ6PU3v0Oy2PPv8y/HstSZIkSZIkSZIkSZIkSRqJRpV6AgX0pfRjIB7oZ1sDsGt6+eE+2iwAXu1j26IBzkWSJEmSJEmSJEmSJEmSVCHKqXhvIfAH4FHgMeAM4Nj+OkRRNLOvbSGEC+ks3ns0iqKX+2h2exRFpw1qtpIkSZIkSZIkSZIkSZKkilU2xXtRFF2Y/TyEcPxgxwohBODE9NNrhzIvSZIkSZIkSZIkSZIkSZJ6qir1BDZQBwKNwBrgxtJORZIkSZIkSZIkSZIkSZJUbsrmynsFdlL655+iKFrYT7u9Qgi/AiYBS4CngOuiKHp9uCcoSZIkSZIkSZIkSZIkSRq5LN7rIYRQC3wq/XR9t8ydmn5kHA18I4TwzSiKvj0c85MkSZIkSZIkSZIkSZIkjXzeNre3jwHjgCTw+z7aLAYuBWYAE4ExwN50FvtVAxeGEM4e/qlKkiRJkiRJkiRJkiRJkkYir7zXW+aWub+OomhlrgZRFP0G+E2P1U8Dp4QQ/gmcS2cB3y+jKFo6fFOVJEmSJEmSJEmSJEmSJI1EXnkvSwhhU+DI9NNrBjnMN4FVQAw4tBDzkiRJkiRJkiRJkiRJkiSVF4v3ujsOqAESwNzBDBBF0RLg+fTTyYWZliRJkiRJkiRJkiRJkiSpnFi8113mlrnXRVEUDWGcNemf3pZYkiRJkiRJkiRJkiRJktSLxXtpIYQdgAPST68bwjjVwE7pp+8MdV6SJEmSJEmSJEmSJEmSpPJj8d46J6d/PhpF0ctDGOezwDigA7hnqJOSJEmSJEmSJEmSJEmSJJUfi/fWOTH989r+GoUQNgkh3BBC2LfH+uoQwhzgh+lVP4+i6N1hmKckSZIkSZIkSZIkSZIkaYQLURSVeg4FEUKYAfw2a9VYoBZYDqzIWr93FEVv9+h7APAgsAbYIoqihf28zjhgUfrpYuBNYC0whc4r7gHcDhwTRdHKQe9Q99dcW1VVVd3R0VGI4SRJkiRJkka06upqUqlURxRFo0o9F1UWczpJkiRJKlMv317qGRTeTkeUegaqAOZ0Q1dOb1wNsGmO9RulHxnVOdpkbpn7p/4K99KWAV8GpgO7AzsAdcA/gVbgGuDXUblURUqSJEmSJEmSJEmSJEmSCq5srrxXzjyjV5IkSZIkaR3P6FWpmNNJkiRJUpnyynvSoJjTDV1VqScgSZIkSZIkSZIkSZIkSVKlsXhPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJkiRJkiRJkqQis3hPkiRJkiRJFS+EcGQI4c4QQlsIYVkI4ckQwjkhhEHlZyGEXUII14cQ/hFCWBlCeD2E8P0Qwrj19Ds6hHB7CGFBCGFNCGFRCOHeEMJnBzsXSZIkSZIkaaSotJwuRFFUqLE0TEIIa6uqqqo7OjpKPRVJkiRJkqSSq66uJpVKdURRNKoQ44UQmoHvpp++AbQDu9N54uvvgE9EUZQawHiHAK1AHfA+8DawM7BRevzpURTNz9HvB8CX0k8z/SYBW6TX/R74+EDmosIyp5MkSZKkMvXy7aWeQeHtdESpZ6AKYE439JzOs3UlSZIkSZJUsUIIBwDfgf/P3r1G2VaWd6L/P3tzFygRlbQoXaKCgopibFsx6RPFDO06aiteaE1sb9h2chINOfGUxiTrJBirtTWnE7u9oaaTNtEYvHRTISNHc2gjZBhbbdTgLcFy4w0FsVDkuvd7Pqy5N8WiqnbtXWutuqzfb4w1Zs053/ddz6qP//HM+WZPkue11h7QWjsjyZlJrknytCTnH8B6xyR5f/qB4O8nObG19qgkJyW5LMnJSd61zLzHpx8ItiQvSXJCa+1RrbUTuxpuSfLUJC84yJ8KAAAAAJvWpOZ0mvcAAAAAmGSvTVJJLmyt/enei621K3JHGDhbVYeucb2XJ7lXki8mOb+1dlu33nVJnpfk9iQzVXXmwLyZ7vih1tq725LtMlpr/z3JW7tTj80DAAAAsB1NZE6neQ8AAACAiVRVxyY5uzu9y1O2ST6Q5IYkxyf5mTUu+8zu+IettTvtrdpa25Xko93pswbmHdkdr1ph3X/sjkPZggQAAAAANotJzuk07wEAAAAwqR6Z5LAkNyf5zODN7mncT3Wnj9nfYlV1SJJHdaeXrTBs7/XB9T7XHR+7wryzuuOnVrgPAAAAAFvVxOZ0mvcAAAAAmFQP6o67Wmu3rzDmqoGxq5lOsnfbjpWezF1pvfemv4XHWVV1YVWdWlVHVNX9q2ouyblJvpTkP62hDgAAAADYSiY2p7PNBgAAAABb0c6q+sZKN1tr913DGsd1x+tXGbP33nGrjBlcb7U1l12vtXZLVT0+yeuT/FySlyy5vTvJm5K8rrX2wzXUAQAAAADjIqdbB2/eAwAAAGBSHdEdb11lzC3d8cgDWG+1NVdb74Qk90lyePrh4WeTfDfJzvSf6H3KGmoAAAAAgK1mYnM6b94DAAAAYCvavcandldzc3c8bJUxh3fHmw5gvb1r3rzMmBcZ+ngAACAASURBVGXXq6qHJLk8ybFJfiHJO1prrbt3TpI/SvLeqrqttfaBNdQCAAAAAOMgp1sHb94DAAAAYFKtZauNtWzZMbjeamuutN7rktw9/TDw7XsDwSRprV2U5ILu9IIAAAAAwPYysTmd5j0AAAAAJtVXu+NJVbXSDhUnD4xdzUKS2wbmrXW9x3fHj60w76Pd8ZSqOmYNtQAAAADAVjGxOZ3mPQAAAAAm1WfTD/GOSHLm4M2qOjTJo7vTT+5vsdba7Uk+052etcKwvdcH19tf0FdL/j5if7UAAAAAwBYysTmd5j0AAAAAJlJr7Ybc8aTsS5YZ8uwkxya5Lsmla1z2g93xhVW1c+mNqjopydnd6UUD8/Y+4fvEFdbdO+/7Sa5dYy0AAAAAsOlNck6neQ8AAACASfa6JC3JS6vqX++9WFVnJHlzd/qG1tqtS+49q6oWquoTy6z3tvRDu4ckeXP3VHCq6vgkf5LkkCSXtNY+PTDvvd3xZVX1b6tq3xO8VXVOkl/fO6611g7ytwIAAADAZjWROV3J+ja/qrp9x44dO3fv3r3RpQAAAABsuJ07d2bPnj27W2uHDGO9qvr1JBd0p1cl+VGSh6b/4Ot8kqe31nYvGf/CJO9J8vXW2vQy6z0xycXpb5vxvSS70g8Jj0qykOSxrbXvDMw5rJvzpO7S9Um+luS+Se7dXft0kid0TyKzAeR0AAAA29SXL9noCobv1KdsdAVMADnd+nM6b94DAAAAYKK11l6X5KlJ/jrJ8UkemOTzSV6ZgUBwjet9LMlPJnlf+k8LPyzJNek/IXzmYCDYzbk1yVOSnJf+1h8tyRnpB4t/m+T8JGdp3AMAAABgu5rEnM6b97YAT/QCAAAA3GHYT/TCWsnpAAAAtilv3oODIqdbP2/eAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYs23TvFdV96+q86rqnVV1RVXdXlWtql67ypxeN2a1z4NXmX9iVb2jqq6uqluqaldVvb2qThzNrwQAAAAAAAAAAGA7OGSjCxiiV3Sfg3F1kl0r3Pvxcher6rQkf5PkHkkWk3whyQOSvCzJOVX1+Nbalw6yHgAAAAAAAAAAALax7dS8d22Si5P8XZJPJXlpknPWOPfdrbXeWr+oqnYm+UD6jXsXJXlBa+3HVXW3JH+U5JlJ3l9Vj2yt7Vn7TwAAAAAAAAAAAGASbJvmvdbaBUvPq+rcEX7dM5OcluS6JC9qrf24q+HGqnphkn+R5OFJnp7kQyOsAwAAAAAAAAAAgC1ox0YXsEU9szv+WWvth0tvdOcf6E6fPdaqAAAAAAAAAAAA2BK2zZv31ulnqur0JMcn+X76W+/+UWvtOyuM/+fd8bIV7l+W5OVJHjPUKgEAAAAAAAAAANgWNO/1/fTA+TlJelX1C621P1x6o6oOS3JSd3rVCuvtvT5dVYe21m4bWqUAAAAAAAAAAABseZO+be63k/xukken/9a9o5KcleSSJEcmeXdVPXVgzlTu+L9dv8K6e6/vSHLsMAsGAAAAAAAAAABg65voN++11t6+zOXLq2omyUVJnpHk96rq4tZa6+4fsWTsrSssfcuSv49cf6UAAAAAAAAAAABsJ5P+5r1ldY16s93pA5I8fMntm5f8fdgKSxy+5O+bhlgaAAAAAAAAAAAA24DmvRW01r6S5Pvd6QOX3FpMsqf7+7gVpu+9vifJDcOvDgAAAAAAAAAAgK1M897qbuuO+7YXbq3dmmRXd3ryCvP2Xl9ord22whgAAAAAAAAAAAAmlOa9FVTVPZPcuzv9xsDtT3bHs1aYftbAOAAAAAAAAAAAANhH897Kzk9S6W+T+6mBex/sjs+pqmOW3ujOn92d/vlIKwQAAAAAAAAAAGBLmtjmvao6var+c1WdPnD9iKp6TZL/q7v077utcpe6KMmXkhyf5D1VdVQ3925J3tNd/0KSD4/yNwAAAAAAAAAAALA1VWtto2sYiqo6K8lHllw6OsnhSX6c5KYl1x/ZWru6qh6R5LPdte8l2dX9/ZAkR3V/vyvJeW2Zf1JVPTTJx5Mcl/7b+f4hyQOTTCX5fpKfaq1dOYSflqq6fceOHTt37949jOUAAAAAtrSdO3dmz549u1trh2x0LUwWOR0AAMA29eVLNrqC4Tv1KRtdARNATrd+2+nNe4em/8a7vZ/Du+tHDVzf2V1fSPIbSS5J8qMkpyZ5WPqNd3+e5MmttZcu17iXJK21LyQ5I8mF3fyHdcd3JjljWI17AAAAAAAAAAAAbD/b5s1725knegEAAADu4IleNoqcDgAAYJvy5j04KHK69fOPY0uZnp0f+poLczNDXxMAAAAAAAAAAGA122nbXAAAAAAAAAAAANgSNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmGneAwAAAAAAAAAAgDHTvAcAAAAAAAAAAABjpnkPAAAAAAAAAAAAxkzzHgAAAAAAAAAAAIyZ5j0AAAAAAAAAAAAYM817AAAAAAAAAAAAMGaa9wAAAAAAAAAAAGDMNO8BAAAAAAAAAADAmB2y0QUAAADApProlddsdAlDd/ZpJ2x0CQAAAAAAsCVsmzfvVdX9q+q8qnpnVV1RVbdXVauq164y55FV9dtV9T+q6tqquq2qvltVl1TVM1aZ98Ju7dU+Tx7NLwUAAAAAAAAAAGCr205v3ntF91mTqnpAks8sufS1JAtJTk7y5CRPrqr/kuTFrbU9Kyzz3SRfXeHe9WutBQAAAAAAAAAAgMmynZr3rk1ycZK/S/KpJC9Ncs4q4yvJt5P8P0n+uLX27SSpqh1JfiHJ7yf5N0n+Z5K3rLDGJa21Fw6jeAAAAAAAAAAAACbHtmnea61dsPS8qs7dz5RvJHlga+3HA+vsSfKWqjo9ycuTnJeVm/cAAAAAAAAAAADggO3Y6AI2Smvt5sHGvQF/1R1PGUc9AAAAAAAAAAAATI5t8+a9ETiiO960ypgzqupPkvxEkhuSfDbJf22t/eOoiwMAAAAAAAAAAGDr0ry3sud0x8tWGfOI7rPX05P8RlX9VmvtdSOrDAAAAAAAAAAAgC1tYrfNXU1V/WySf9WdvnGZIT9I8gdJzkpyQvpv6Xtkkj9OsjPJBVX1f4yhVAAAAAAAAAAAALYgb94bUFUnJXlvd/qfW2sfHxzTWvtwkg8PXP5fSV5QVdcleWX6DXz/pbX2w5EWDAAAAAAAAAAAwJbjzXtLVNU9klyS5J5JLk1y/kEs81tJbkkyleQJQysOAAAAAAAAAACAbUPzXqeqjk7yF0lOS/LpJE9rrd1yoOu01m5I8vfd6QOHVyEAAAAAAAAAAADbhea9JFV1eJKPJHlMkiuTPHmd293e1h1tSwwAAAAAAAAAAMBdTHzzXlUdkuTP0t/i9qokT2qtXbuO9XYmObU7/cb6KwQAAAAAAAAAAGC7mejmvaqqJH+Y5GlJvpXk7Nbat9a57EuS3D3J7iSXrnMtAAAAAAAAAAAAtqGJbt5L8h+TPD/Jtek37n1tfxOq6tiq+tOq+mcD13dW1XndmknyrtbaN4deMQAAAAAAAAAAAFveIRtdwLBU1VlJPrLk0tHd8dVV9col1x/ZWru6qh6b5Je6azcleWf/RXx31Vp7/JLTHUnOTXJuVf0gydeS3J7kQem/cS9JLknyinX8HAAAAAAAAAAAALax7fTmvUOTHL/kc3h3/aiB6zu764cvmXu/JGet8lnqxiSvSvLh9N/Y94Akj0hyc5L5JM9NMtNau3l4Pw0AAACAUaqqf1lVH62q71fVjVX1mar6pao6qPysqh5SVe+tqm9X1c1V9Y9V9R+q6u5rmHtqVb2tqq7q5n6/q+dNVXXcwdQDAAAAAFvBpOV02+bNe621S5Ms/+q8IYxfMu+2JG880HkAAAAAbE5VNZvk9d3pVUl+lOSMJL+f5OyqekZrbc8BrPcz6T/keWSS7yX5+yQPTvKrSZ5RVY9rrV2zwtwXJnlb+g+eXp/k8+nvMHFqkkcmeU93HQAAAAC2lUnM6bbTm/cAAAAA4IBU1WOT/G6SPUme11p7QGvtjCRnJrkmydOSnH8A6x2T5P3pB4K/n+TE1tqjkpyU5LIkJyd51wpzn9zduzn93R3u2Vp7dGvtIUmmkpyd5NsH8zsBAAAAYDOb1JxO8x4AAAAAk+y16e/OcGFr7U/3XmytXZE7wsDZqjp0jeu9PMm9knwxyfndLg5prV2X5HlJbk8yU1VnLp1UVYcleXtXyzNba3+29Cni1trtrbWPdesAAAAAwHYzkTmd5j0AAAAAJlJVHZv+U7LJ8k/ZfiDJDUmOT/Iza1z2md3xD1tru5feaK3tSvLR7vRZy8w7KcnHWmt/vcbvAgAAAIAtb5JzOs17AAAAAEyqRyY5LP3tLz4zeLN7GvdT3elj9rdYVR2S5FHd6WUrDNt7fXC9p3bHi6vqPlX121X1F1V1SVW9qaoevr/vBwAAAIAtamJzuqE3703Pzr9menb+59Y49vnTs/OvGXYNAAAAALAGD+qOu1prt68w5qqBsauZTrJ3246rVhiz0np7w8RjknwhyW8keUqSJ6e/Lchnq2p2DTVMnt7Ua9KbWlMemd7U89ObkkcCAAAAbC4Tm9ON4s17FyR52RrHvjTJ74ygBgAAAAC2t51V9Y2VPmtc47jueP0qY/beO26VMYPrrbbmSuv9k+74m+k/Yfy0JEcmOTHJm9LP8V5fVU9bQx2TRh4JAAAAsHHkdOuw0dvm7kjSNrgGAAAAACbTEd3x1lXG3NIdjzyA9VZbc6X17tYdD03yc621/95au7m19q3W2v+Z5EPd/d9aQx2sTB4JAAAAsPlMbE53yDAWWYf7JfnhBtcAAAAAwNazu7V233WucXN3PGyVMYd3x5sOYL29a968zJiV1rs5/WDwC621v15m3u8leUaSM6vqXq21762hHu5KHgkAAAAwXHK6dVh389707PxDkzx84PK9pmfnn7fKtCOT/HT6+wv/j/XWAAAAAAAHYS1bbaxly47B9fbO+/YBrHd9+qHgl1ZY+4tL/p5OMrnNe72pZfPI9KbkkQAAAABb08TmdMN489456b8GcOl2E6ck+eP9zKsktyV5/RBqAAAAAIAD9dXueFJVHdJau32ZMScPjF3NQvp516HdvOVCwZXW+3KS++aO7ToGLb2+cw21bGfySAAAAIDtZWJzumE0730uyXuXnD8//Y7C/3eF8S391w1eleSDC3Mza/mHAgAAAMCwfTb9EO+IJGcm+bulN6vq0CSP7k4/ub/FWmu3V9VnkjwmyVlJLltm2FkrrPe3SZ6YO0LDQUuvf3N/tWxz68oj01uURwIAAABsLhOb0627eW9hbuZDST6093x6dv75Sb6yMDfz8+tdGwAAAABGpbV2Q1V9NMlTkrwkA6FgkmcnOTbJdUkuXeOyH0w/FHxhVb2ptbZ7742qOinJ2d3pRQPzPpDktUkeU1Wntta+PHD/Rd3xH1prV6+xlu2pt3inPDK9qecn+Up6i/JIAAAAgC1oknO6HetdYBkPSnLuCNYFAAAAgGF7XfpvZntpVf3rvRer6owkb+5O39Bau3XJvWdV1UJVfWKZ9d6W5NokD0ny5u6p4FTV8Un+JP2HaS9prX166aTW2ufSDwp3JHl3VZ2w5Pv+VZKXd6dz6/mx25Q8EgAAAGDrm8icrlprw1iHEaqq23fs2LFz9+7d+x+8zU3Pzg99zYW5maGvCQAAsBYfvfKajS5h6M4+7YT9D4J12rlzZ/bs2bO7tbbuXSWSpKp+PckF3elVSX6U5KHpB3TzSZ4+8GTuC5O8J8nXW2vTy6z3xCQXp7/Nx/eS7Eo/JDwqyUKSx7bWvrPMvHsk+XiS05PckuQLSY7LHVtxXNhaO29dP5Z1kdMBAABsU1++ZKMrGL5Tn7LRFTAB5HTrN5R/3EqmZ+dPT7/oo5PUSuMW5mb+ZJR1AAAAAMBKWmuvq6orkvxKkkcl+Ykkn08/+HvL0kBwjet9rKp+Mv3tNZ6Q5GFJvpn+Vq8XtNauX2He96vqnyV5VZLnpB8O3pp+UPjW1tr7Dub3TZTe1JryyPQW5ZEAAAAAm8wk5nQjefPe9Oz8c5K8Icn91jJ+YW5m59CL2EY80XsHb94DAAC2E2/eg4Mz7Cd62QZ6UweUR6a3eFB5pJwOAABgm/LmPTgocrr1G/o/bnp2/plJ9nYXfi/J55J8N8meYX8XAAAAADDhelPySAAAAAC2pFF0Pb46SUvypiSvXZibuXUE3wEAAAAAkAzkkektyiMBAAAA2BJG0bx3epJrF+ZmXjWCtQEAAAAAljo9ybXpLcojAQAAANhSdoxgzRuTfH0E6wIAAAAADJJHAgAAALAljaJ57+NJHjQ9O3/YCNYGAAAAAFjq40kelN6UPBIAAACALWUUzXuvTX873tePYG0AAAAAgKXkkQAAAABsSYeMYM3jkvxmkrnp2fmfSvLuJP+Y/vYVy1qYm7l8BHUAAAAAANvfvjwyvak15ZHpLcojAQAAANhwo2je+0SSlqSS/GSSR+1nfBtRHQAAAADA9iePBAAAAGBLGkVIdXn6ARgAAAAAwKjJIwEAAADYkobevLcwN/P4Ya8JAAAAALCs3qI8EgAAAIAtacdGFwAAAAAAAAAAAACTRvMeAAAAAAAAAAAAjNnQt82dnp1/3IHOWZibuXzYdQAAAAAAE6A3dcB5ZHqL8kgAAAAANtzQm/eSfCJJO4DxbUR1AAAAAADbnzwSAAAAgC1pFCHV5Vk5LLtbkgckOSbJrUk+NYLvBwAAAAAmhzwSAAAAgC1p6M17C3Mzj9/fmOnZ+ecm+b0kVy3MzfybYdcAAAAAAEyI3uJ+88j0pvblkektyiMBAAAA2BR2bMSXLszNvD/JM5L8/PTs/C9vRA0AAAAAwIToLe7LI9ObkkcCAAAAsClsSPNekizMzXwyyVeSvGyjagAAAAAAJkRvUR4JAAAAwKayYc17nVuSnLzBNQAAAAAAk0EeCQAAAMCmsWHNe9Oz8ycneXCSGzaqBgAAAABgQvSm5JEAAAAAbCqHDHvB6dn5+6xyu5LcK8mjk8x233/xsGsAAAAAACZEb0oeCQAAAMCWNPTmvSTfSNLWMK6SfCnJq0dQAwAAAAAwGeSRAAAAAGxJo2je+1ZWDstakhuTXJXkkiQXLszN3DyCGgAAAACAyXBAeWR6i/JIAAAAADaFoTfvLczN3HfYawIAAAAALKu3KI8EAAAAYEvasdEFAAAAAAAAAAAAwKTRvAcAAAAAAAAAAABjNvRtc/eanp2/Z5KXJ/nZJKckOSbJD5N8JclfJnnHwtzMtaP6fgAAAABggvSm9ptHprcojwQAAABg0xjJm/emZ+d/NsmXkvzfSR6f5N5JjuyOj0/yO0m+OD07/6RRfD8AAAAAMEF6U2vKI9ObkkcCAAAAsGkMvXlvenb+lCQfSnKPJF9O8otJ/rckD+mOv9hdPz7Jh7rxAAAAAAAHrjd1QHlkNx4AAAAANtwots19TfpPtb4tyS8uzM20Jfe+nOTjSd46PTv/n5L8uySvTvKiEdQBAAAAAGx/d8oj01tcNo9Mb0oeCQAAAMCmMoptc5+Q5AdJXjnQuDfoV7pxZ4+gBgAAAABgMuzLIwca9wbJIwEAAADYVEbx5r17J7liYW7m1tUGLczN3Do9O//VJGeMoAYAAICJ99Err9noEobu7NNO2OgSANh87p3kivQWV80j01u8Nb0peSQAAAAAm8Yo3rz3gyT329+g6dn56sYtjqAGAAAAAGAyrCmPTG9KHgkAAADApjKK5r2/TXLC9Oz8K/Yz7peT/ESSy0ZQAwAAAAAwGf42yQnpTckjAQAAANhSRrFt7puSPC3Jm6dn5x+X5C1JrlyYm7luenb++CSnJfmlJOck2dONBwAAAAA4GPvyyPSm9uWR6S1el96UPBIAAACATWvob95bmJv5RJJXpB+EPSvJpUm+Oz07f1uS73bnz+ruv3JhbsaTrgAAAADAwektLptHpje1bB6Z3qI8EgAAAIBNYRTb5mZhbuYtSR6T5ANJrk9SSXZ2x+uTvC/JY7pxAAAAAAAHr7e4pjyyGwcAAAAAm8Iots1NkizMzXwmyblJ0m2Xe3SSHy3MzVw3qu8EAAAAACZUb3FfHtltl3t0kh+ltyiPBAAAAGBTGlnz3lJdw56QDAAAAAAYvX7DnjwSAAAAgE1tKM1707Pz/yLJ6UmuWpib+cs1jH9Kkvsn+fzC3MzfDKMGAAAAAGBC9Kb25ZHpLe43j0xval8emd6iPBIAAACATWHHeheYnp0/LskHk7whya41Tvt6kjcm+fPp2flj1lsDAAAAADAhelPryiPTm5JHAgAAALAprLt5L8nPJzkuyR8szM1cuZYJ3bj/mOSe3XwAAAAAgLXYl0emt7imPLIbJ48EAAAAYFMZRvPeTJKW5G0HOO+tSSrJ04ZQAwAAAAAwGeSRAAAAAGwLw2jee3iSXQtzM18/kEkLczNXp79dxcOHUAMAAAAAMBkenmRXeosHlEemtyiPBAAAAGBTGUbz3j2SXHOQc6/p5gMAAAAArIU8EgAAAIBtYRjNezcmOfog5x6d5MdDqCFVdf+qOq+q3llVV1TV7VXVquq1a5j72Kr6SFV9r6puqqorq+o3quqI/cw7sareUVVXV9UtVbWrqt5eVScO4zcBAAAAAHexKfJIAAAAAFivYTTvfSPJA6dn5+92IJOmZ+ePTvKgbv4wvCLJO5K8NP2tL3auZVJVPT/J3yR5WpJbknwxyQOT/HaSj1fVUSvMOy3J55Kcl+SYJF9IcmySlyW5oqoevJ4fAwAAAAAs6xtJHpje1AHlkelNDTuPBAAAAIB1GUbz3qVJDk3yggOc94Ju3qVDqCFJrk1ycZLfTPKUJBftb0JVTSd5V/qNfq9Kcr/W2pnph3hfTvLoJG9YZt7OJB9If4uNi5Lcp7X2qCQnJvlgkuOTvL+qhvH/BQAAAADucGk2Rx4JAAAAAOsyjOayC7vj66Zn5x+2lgnTs/MPT/K6JHuWzF+X1toFrbWnttZ+p7X2l0l+tIZpv5bk8CR/1Vp7Y2utdWt9PcmLuzEvq6oTBuY9M8lpSa5L8qLW2o+7eTcmeWF3/eFJnr7OnwUAAAAA3Nm+PDK9qTXlkelNDT2PBAAAAID1Wnfz3sLczOeSvC3J3ZNcNj07/yvTs/PHLjd2enb+2OnZ+fOTfCL9LWbf0c0fu6qqJM/oTt81eL+1dnmSL6X/NO5gE94zu+OftdZ+ODDvh+m/lS9Jnj20ggEAAACApLd4pzwyvalfSW9q2Twyvalj05u6Ux7ZzQcAAACADXfIkNb55SQnpN/U9h+S/O707PznknwtyY1J7pbk/um/je6wJJXkQ0l+aUjffzBOSvJPur8vW2HMZUkenOQxSd6x5Po/X8O8l3fzAAAAAIDhuksemd7UZs8jAQAAAOBOhtK8tzA3szvJs6Zn51+e5NVJ7pfk0d1n0NVJ5hbmZt46jO9ehwd1x1uSfGuFMVcNjE1VHZZ+49/S+yvNm66qQ1trt62nUAAAAABgid7i7iTPSm9qzXlkeosbnUcCAAAAwJ0M6817SZKFuZm3Tc/OvzPJ47rPiUmOSfLDJN9McnmSy7tmv412XHf8QWutrTDm+oGxSTKVO7Ybvj7L23t9R/rbcVx3sEUCAAAAACvoLb4tvan95pFdsx8AAAAAbCpDbd5L9r2F72+6z2Z2RHe8dZUxt3THI5eZt9rcW5b8feQKYwAAAACA9eo35m2FPBIAAAAA7mTH/odsWzd3x8NWGXN4d7xpmXmrzT18yd83rTAGAAAAAAAAAACACTXJzXt7t7a9e1XVCmOOGxibJItJ9gzcX2neniQ3HHSFAAAAAAAAAAAAbEuT3Lz31e54eJL7rDDm5IGxaa3dmmTXwP2V5i20EdshkAAAIABJREFU1m5bT5EAAAAAAAAAAABsP5PcvLcryXe6v89aYcze658cuP7JgftrnQcAAAAAAAAAAACT27zXWmtJPtSdvmTwflU9LsmDk9yW5L8N3P5gd3xOVR0zMO+YJM/uTv98aAUDAAAAAAAAAACwbUxs817njUluTfKzVfVrVVVJUlX/NMm7uzEXtta+MzDvoiRfSnJ8kvdU1VHdvLsleU93/QtJPjz6nwAAAAAAAAAAAMBWs22a96rqrKq6du8nybndrVcvvV5V99s7p7X2tSTnJdmT5A1Jrq6qzyT5apJTk3w6ya8NfldrbXf6b9e7Psk5Sb5VVf8zyTe78+8neW5rbc+ofi8AAAAAAAAAAABb17Zp3ktyaPpvvNv7Oby7ftTA9Z1LJ7XW/ijJTyW5OMmRSU5LclWSXpLHt9ZuXO7LWmtfSHJGkguT/CjJw7rjO5Oc0Vq7cng/DQAAAAAAAAAAgO3kkI0uYFhaa5cmqYOce3mSpx7EvKvTf3MfAAAAAAAAAAAArNm6mvemZ+dvHUINbWFu5vD9DwMAAAAAJlpvaih5ZHqL8kgAAAAANtx637y3bd7cBwAAAABsevJIAAAAALaNHeucf+gKn1cluS3JXyT535M8IMnRSU5OMtNdvy3Jr3XjAQAAAAD2Rx4JAAAAwLaxridVF+Zmdg9em56df3aSf5/kVQtzM28anNJ9Lpmenf/VJG/ozi9aTx0AAAAAwAToLd4lj0xval8emd7iinlkelPySAAAAAA2lfW+eW855ye5ZpnGvUFvTnJNkl8dQQ0AAAAAwGQ4P8k1yzTuDZJHAgAAALCpjKJ57/QkV+9v0MLcTOvGPXQENQAAAAAAk2FNeWR6i/JIAAAAADaVUTTv3Z7klOnZ+cNXG9TdP6UbDwAAAABwMG5Pckp6U6vmkd19eSQAAAAAm8Yomvc+keTYJG+Znp1fdv3p2flK8gdJprrxAAAAAAAHY18emd7U8nlnb0oeCQAAAMCmc8gI1vyNJE9K8uIkT5qenX9nki8m+V6SeyV5cJKXJvmnSW7uxgMAAAAAHIw75ZHpTckjAQAAANgSht68tzA3c8X07Py/TPJfk5yU5LeXGVZJvpPk5xfmZq4Ydg0AAAAAwIToLV6R3tSa88j0FuWRAAAAAGwKo9g2NwtzM/9fklOSvDzJh5NcmWRXd/xwkn+X5JSFuZmPjeL7AQAAAIAJ0ltcUx6Z3qI8EgAAAIBNYxTb5iZJFuZmbkzyju4DAAAAADA6vUV5JAAAAABbytCb96Zn5/8qyS1JzlmYm7l12OsDAAAAAOzTm9qXR6a3KI8EAAAAYMsYxba5P53kPhr3AAAAAIAx+Okk99G4BwAAAMBWM4rmvV1JDhvBugAAAAAAg+SRAAAAAGxJo2jeuyjJQ6Zn5x84grUBAAAAAJa6KMlD0puSRwIAAACwpYyiee+CJJ9P8pHp2fmHjmB9AAAAAIC99uWR6U3JIwEAAADYMg4ZwZq/l+Tvkzw3yRXTs/NXJPlikhtXGN8W5mb+7QjqAAAAAAC2vzvlkelN7TePTG9RHgkAAADAhhtF895Lk7Qk1Z0/ovuspCURlgEAAAAAB0MeCQAAAMCWNIrmvfNGsCYAAAAAwHLkkQAAAABsSUNv3luYm3nXsNcEAAAAAFhWb1EeCQAAAMCWtGOjCwAAAAAAAAAAAIBJM4ptc+9kenb+5CSnJDkmyQ+TfGVhbuaqUX8vAAAAADCBelN3ySPTW5RHAgAAALDpjKx5b3p2/iVJZpOcvMy9f0gytzA3855RfT8AAAAAMEF6UyvmkelN/UOSufQW5ZEAAAAAbBoj2TZ3enb+wiTvSPKAJLcn+XqSv+uOtyd5UJILp2fn3zmK7wcAAAAAJkhvak15ZHpT8kgAAAAANo2hN+9Nz86fm+TFSW5K8pok91qYmzl5YW7msQtzMycnuVd3/cdJXjw9O//cYdcAAAAAAEyI3tRd8sj0Fk9Ob/Gx6S3eJY9Mb0oeCQAAAMCmMIptc1+WpCV51sLczF8O3lyYm7khydz07Pz/SvIX3fj3j6AOAAAAAGD725dHprd4lzwyvcUbksylNyWPBAAAAGBTGcW2uY9I8rXlGveW6u5fleTMEdQAAAAAAEyGRyT52rKNe0v178sjAQAAANg0RtG8d0SS69c49vokh4+gBgAAAABgMsgjAQAAANiSRtG8tyvJQ6dn5++x2qDp2fnjkzw0ydUjqAEAAAAAmAy7kjw0valV88j0puSRAAAAAGwqo2jeuzj9p1fft1IDX9e4974khyX5byOoAQAAAACYDPvyyBUb+PqNe/JIAAAAADaVQ0aw5uuTnJvkiUl2Tc/Ovz/JlUm+m+TeSU5L8twkRyX5ZpK5EdQAAAAAAEyGO+WR6U3JIwEAAADYEobevLcwN3Pd9Oz8E9J/kvURSV6UpC0ZUt3xs0nOXZibuW7YNQAAAAAAE6K3eF16U2vOI9P7/9m7+yDL7rJO4N9nZvLG2xADBgsqjkEMATGSBHkJ4Eaia2hRCKBJWHdR1AK3dNeg0kuB1SrgIIjK7qrUgkZWISwiSmUISHxNBg2QsJQLGDDYRmIIMYHmdfIy89s/7mmm0+nuuT19+/S9fT+fqlvnnnN+5znP7R8kqaeec34L6pEAAAAAjIXNePNe5vfOfGLP7L6zknxP9/mWJPdL8qUkn0jy3vm9M3+2GfcGAAAAAKbM3MInMrd7zXpk5hbUIwEAAAAYK5vSvJck83tnWpL3dh8AAAAAgM0zt6AeCQAAAMBE2bHRAHtm950yikQAAAAAAI5obrd6JAAAAADbwijevPdPe2b3/UuSq5P8TZKr5vfOfHwEcQEAAAAAlvunzO2+Rz0ycwvqkQAAAABMnFE071WSU5JcnOSiJNkzu++2DIpnV2VQQPvw/N6ZQyO4FwAAAAAw3e5Vj8zc7nvVIzO3oB4JAAAAwFgbRfPeQ5M8JcmTu+1jkjwoyTOT/EA35kt7Zvf9bQbFs6uSXDO/d+aOEdwbAAAAAJguQ9UjM7f7HvXIzC2oRwIAAAAwVqq1NtKAe2b33T/Jk3K4gPYdSY7vTi/e7M4kH8rhZXbfM9IktpmqunvHjh07Dx48uNWpbLk9s/tGHnN+78zIYwIAwDi48mO3bHUKI3feo07e6hRGyhzB0dm5c2cOHTp0sLU2igdTmXRzu9ddj8zcwlHVI9XpAAAAtqnrr9jqDEbvtPO3OgOmgDrdxo38Dze/d+aLSd7bfbJndt8xSc7OoHD21CRPTPJ1GRTUnpTkJZuRBwAAAAAwBeYW7lGPzNxu9UgAAAAAJsKmF6nm987cleRvu89r9szue0ySFyb5kRx+AhYAAAAAYOPmFu5Rj8zcbvVIAAAAAMbSpjbv7ZndtyvJ4zJ4yvUpSc5J8sDudCW5Lcn7NzMHAAAAAGBKzO1WjwQAAABgYoy0eW/P7L77ZbD0xFMyKJB9RwZPs1Y35B+T/GmS/Un2z++d+YdR3h8AAAAAmCJzu9dVj8zcgnokAAAAAGNjw817e2b3PTuD4thTknxbkh0ZFMfuSnJdFgtjydXze2du3ej9AAAAAGDUqurpSS5JcmaS45Jcn+T3kvzP1tqho4h3epKXJfmuJCcmuSnJO5O8orX2+SFjPLjL48QkB1trm7qKxsSY2z10PTJzC+qRAAAAABNk2up0owj09iQtyeeT/FkWC2PJB+b3zhwYQXwAAAAA2DRVNZvkV7rdTyX5UpIzkrw+yXlV9az1FAar6twk+5KckOTWJB9N8sgkL07yrKp6UmvtliFC/XoGBUHuadV6ZOYW1CMBAAAAJtQ01ul2jCjO4jIUh5Ic7D7r7nQEAAAAgD5V1ROTvCqDWtbFrbWHt9bOyODJ3luSfH8GT/oOG+/+Sd6WQUHw9Uke2lo7K8kpGTSZnZrkTUPEOS/J85K8a10/aHqoRwIAAABsI9NapxvFm/een+TJ3Wem+7Qkd+6Z3fehDJ56vTrJ/vm9M0O9ahAAAAAAevKyDBrB/ldr7a2LB1trH6mqS5L8YZLZqvrN1tpdQ8R7YZIHJ/l4kktaawe7eLdV1cVJbkgyU1VnttauWylAVR2f5LeTfCbJL2RQmOSw52eVemTmdt+jHpm5BfVIAAAAgMkwlXW6DTfvze+deXOSNyfJntl9J+Vw4ewpSb4jyTlJfj5J2zO77+M5XDy7en7vzD9v9P4AAAAAcDSq6gFJzut2V3rK9u0ZFOdOSnJuBku0HskF3fbSxYLgotbajVV1ZZLvTfKcJCsWBTMoVH5zBk/0Lgxxz+kyt/C1emTmdq9Zj8zc7nvUIzO3oB4JAAAAMGamuU43ijfvfc383pnbkvxp98me2X0nJHlCDhfPnpDk0Ul+ojv/r0mumt87c/Eo8wAAAACAITw2ybFJDmSFAl1r7a6q+mCSpyV5fI5QFKyqXUnO6nb3rzJsfwZFwcevEuP0JD+X5C9ba2+pqj1H/BXTbG7hHvXIzO1esx6Zud3/muSqzC2oRwIAAACMj6mt0420eW+5+b0zX03yl90ne2b37Ujy7UlekORHkjw0yQ8lUSwDAAAAoG+P6LY3ttbuXmXMpzIoCj5ilfNL7UlyzJLrVou39N5fU1WV5A0ZLA/yn4e4H8vNLdyjHpm53eqRAAAAAONvaut0m9q8lyR7ZvdVBgWyp3SfJyf5+s2+LwAAAADb2s6q+vRqJ1trDxsixond9nNrjFk8d+IaY5bHWyvmWvFekEH9bG9r7eND3I+VzO1WjwQAAADojzrdBoy8eW/P7L7jM3id4OLSFE9Mcr/udHXbg0k+kuSq7gMAAAAAfTu+2965xpg7uu0J64i3VswV41XVg5O8OsmNSX55iHuxaG63eiQAAADAZJvaOt2Gm/f2zO47Mck5OfwU61k5/NrBxeLYHUk+kEFh7G+SvH9+78yXNnpvAAAAAKbWwSGf2l3LgW577Bpjjuu2X11HvMWYB1YYs1q8X0/ydUle0Fr7yhD3ml5zu4+qHpm5BfVIAAAAgNFTp9uAUbx579YcLootbheSvD+Hn2T94PzembU6I4FtYs/svpHHnN87M/KYAAAAkOGW2hhmyY7l8Ravu3mYeFX1nUmel2Rfa+1PhrjPtBuqHpm5BfVIAAAAgMkwtXW6UTTv7UhySw4Xxq5K8pH5vTNtBLEBAAAAYLN8stueUlW7Wmt3rzDm1GVj1zKf5K4M3gJ3alYuCq4U77Hd9slV9Zll43cubpec+y+ttbcNkc92tWI9MnML6pEAAAAAk2lq63SjaN47bX7vzDB/FAAAAAAYJx/OoIh3fJIzM1hm9Wuq6pgkj+t2rzlSsNba3VV1XZLHZ7Cs6/4Vhp2zRrzd3Wc1J3fbE46UyzZ3WuYW1CMBAAAAto+prdPt2GgAjXsAAAAATKLW2heSXNntvmCFIc9N8oAktyX5qyHD/nG3fX5V7Vx6oqpOSXJet/uOJXn8RmutVvok+aZu2MElxy8dMpftSeMeAAAAwLYyzXW6DTfvAQAAAMAEe2WSluTHquqixYNVdUaS13W7v9pau3PJuedU1XxVXb1CvN9J8m9JTk/yuu6p4FTVSUneksFKGFe01q7dlF8DAAAAAJNpKut0mvcAAAAAmFqttf1JXp5BnewtVXVDVX0kyXUZLH+xL8mvLbvsfkm+McnDVoj3hSQXJjmQ5KeT3FRVH0pyYwZLccwn+dFN+TEAAAAAMKGmtU439c17VbWnqtqQn+9cct3cEOMfuZW/DQAAAIAja629MskzkvxFkpOSfHOSv0/yX5P8QGvt4Drj/XmSs5NclsHTwo9JcksGTwif2Vr7zOiyBwAAAIDtYRrrdLu2OoExcCDJ/jXOf0OSU7tx/3eF8/+SQUfmSr6ysdQAAAAA6ENr7fIklw859tIklx5hzEeTXLTWmCHvNZ+kNhoHAAAAACbBtNXppr55r+ugfPJq56vqDzJo3ntXa21hhSG/21qb26T0AAAAAAAAAAAA2IamvnlvLVV1vyTP7Hb/91bmAgAAAAAwNuZ2b0LMlZ6dBgAAANi+dmx1AmPugiT3TXJrkvdscS4AAAAAAAAAAABsE968t7b/0G0va63dvcqYc6vq0UlOSnJ7kg8keXO3HC8AAAAAAAAAbJ7rr9jqDEbrtPO3OgMA6I3mvVVU1TckeVq3u9aSuU9dtv/sJHNV9ZOttUs3IzcAAAAAAFiTpY0BAABg7Fk2d3XPy+Dvc31r7YMrnL85yauSPC6Dt+7dJ8k5Sa5IckKS362qZ/SUKwAAAAAAAAAAABPEm/dWt7hk7opv3WutvWGFw++vqpkk70jyrCS/XlWXt9baJuUIAAAAAAAAAADABPLmvRVU1WOSnJGkJfmD9VzbNerNdrsPT/Jto80OAAAAAAAAAACASad5b2U/3G3/prX2z+u9uLX2iSS3d7vfPLKsAAAAAAAAAAAA2BY07y1TVTuSXNTtrrhk7pDu6raWJgYAAAAAAAAAAOAeNO/d27lJHpbkQJI/OpoAVfWgJF/f7X56RHkBAAAAAAAAAACwTWjeu7fFJXPf1VpbOMoYlySpJAtJPjiSrAAAAAAAAAAAANg2NO8tUVUnJLmg2111ydyqenRV/VZVPXrZ8eOr6qVJXtIdenVr7c7NyRYAAAAAAAAAAIBJtWurExgzz0xy/yS3JnnPGuOOSfKiJC+qqluT3NgdPz3Jfbrvb0qyd5PyBAAAAAAAAAAAYIJp3runxSVzL2ut3b3GuPkkL0/ypCSPTHJakmOTfDbJu5O8sbX23k3MEwAAAAAAAAAAgAmmeW+J1trThxz3+SSv2OR0AAAAAAAAAAAA2KZ2bHUCAAAAAAAAAAAAMG007wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvJamqS6uqHeFz/CrXnl5Vf1hVN1fVgaq6oapeW1UP7Pt3AAAAAAAAAAAAMBl2bXUCY+aTST67yrlDyw9U1blJ9iU5IcmtST6a5JFJXpzkWVX1pNbaLZuUKwAAAAAAAAAAABNK8949vaq1dukwA6vq/knelkHj3uuT/Gxr7a6qOinJnyY5J8mbknzfJuUKAAAAAAAAAADAhLJs7tF7YZIHJ/l4kktaa3clSWvttiQXJ7k7yUxVnbl1KQIAAAAAAAAAADCONO8dvQu67aWttYNLT7TWbkxyZbf7nF6zAgAAAAAAAAAAYOxZNveenlNVz0zygCSfTbI/yZtbawtLB1XVriRndbv7V4m1P8n3Jnn8JuUKAAAAAAAAAADAhNK8d08zy/Z/KMkvVtXFrbX3LDm+J8kx3fdPrRJr8fgjRpceAAAAAAAAAAAA24FlcwduSPLSJGdk8Na9+yf5niTXJDkxyZ9U1dlLxp+45PvnVom5ePzEVc4DAAAAAAAAAAAwpbx5L0lr7ZdXOPy+qvrrJFcl+Y4kr07ytO7c8UvG3blK2Du67QkjSRIAAAAAAAAAAIBtw5v31tBauzPJy7vdf1dVi2/RO7Bk2LGrXH5ct/3qZuQGAAAAAAAAAADA5NK8d2R/2213JDm1+750qdzVlsVdPL7asroAAAAAAAAAAABMKc17R3bXku+LywzPLzl+ala2ePyTm5ATAAAAAAAAAAAAE0zz3pE9esn3TydJa+3uJNd1x85Z5brF49dsUl4AAAAAAAAAAABMKM17R/bibvsPrbWblhz/4277/KraufSCqjolyXnd7js2OT8AAAAAAAAAAAAmzNQ371XVd1fVr1TVNy07vruqXp/kou7QLy279HeS/FuS05O8rqqO6a47KclbMlhi94rW2rWb+gMAAAAAAAAAAACYOLu2OoExcN8ks0lmq+qmJP+a5Jgkj0pybJKW5Jdaa29delFr7QtVdWGSy5P8dJKLqurGDJr57pNkPsmP9vUjAAAAAAAAAAAAmBxT/+a9JNcmeWWSv0hyMMm3JnlkkpuSvDnJE1trcytd2Fr78yRnJ7ksgya/xyS5JcnrkpzZWvvMZicPAAAAAAAAAADA5Jn6N++11v4lycs2cP1Hc3hpXQAAAAAAAAAAADgib94DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnu3a6gQAAAAAAACmztzuTYi5MPqYAAAAbBpv3gMAAAAAAAAAAICeefMewJTZM7tv5DHn986MPCYAAAAAAAAAwHbmzXsAAAAAAAAAAADQM817AAAAAEy9qnp6VV1ZVbdX1Zer6rqq+qmqOqr6WVWdXlV/WFU3V9WBqrqhql5bVQ9cZfyDquonquqPquqfquqOqvpil8cvVNXujf1CAAAAABh/01an07wHAAAAwFSrqtkk+5I8LcnnkvxjkjOSvD7JO9dbGKyqc5Ncm+TiJDuTfDTJQ5K8OMm1VXXyCpe9M8kbkjw7ye4k/y/JvyX59iS/mOQjVXXqun8cAAAAAEyIaazTad4DAAAAYGpV1ROTvCrJoSQXt9Ye3lo7I8mZSW5J8v1JLllHvPsneVuSEzIoKj60tXZWklOS7E9yapI3rXDpwSS/n+QJSU5qrZ3VWvumJGcl+WSSb+ziAgAAAMC2M611Os17AAAAAEyzlyWpJG9srb118WBr7SM5XAycrapjhoz3wiQPTvLxJJe01u7q4t2WwRO+dyeZqaozl113QWvt+a21a1prbUkeH07yw93u2VX12PX9PAAAAACYCFNZp9O8BwAAAMBUqqoHJDmv213pKdu3J/lCkpOSnDtk2Au67aWttYNLT7TWbkxyZbf7nGXnbl8tYGvtmiQL3e63DJkHAAAAAEyEaa7Tad4DAAAAYFo9NsmxSQ4kuW75ye5p3A92u48/UrCq2pXB8hnJYOmNlSweP2K8JXF3Jll8ovirw14HAAAAABNiaut0mvcAAAAAmFaP6LY3ttbuXmXMp5aNXcueHC7efWqVMeuJt+j7ktwnycEkf7eO6wAAAABgEkxtnW7XKIIAAAAAQM92VtWnVzvZWnvYEDFO7LafW2PM4rkT1xizPN5aMdcTL1V13ySv6XZ/v7X22WGuAwAAAICeqNNtgDfvAQAAADCtju+2d64x5o5ue8I64q0Vcz3xkuRNGTz9++kkPzfkNQAAAAAwSaa2TufNewAAAABMooNDPrW7lgPd9tg1xhzXbb+6jniLMQ+sMGboeFW1N8kPJflSkme21m4fIgcAAAAA6JM63QZ48x4AAAAA02qYpTGGWbJjeby1Yg4Vr6p+NslLMngC+Adaa9cOcX8AAAAAmERTW6fTvAcAAADAtPpktz2lqlZboeLUZWPXMp/krmXXrTteVf14ktckuTvJD7bW/mKIewMAAADApJraOp3mPQAAAACm1YczKOIdn+TM5Ser6pgkj+t2rzlSsNba3Umu63bPWWXY4vEV41XVhUl+J8mhJP+ptfauI90XAAAAACbc1NbpVutUBAAAAIBtrbX2haq6Msn5SV6Q5APLhjw3yQOS3Jbkr4YM+8dJHp/k+VX1a621g4snquqUJOd1u+9YfmFVPT3JmzN44PaFrbW3DP9rAICRm9u9CTEXRh8TAAAm3DTX6bx5DwAAAIBp9sokLcmPVdVFiwer6owkr+t2f7W1dueSc8+pqvmqunqFeL+T5N+SnJ7kdd1Twamqk5K8JYOHaa9orV279KKqenKSP0pyTJKfb629YVQ/EAAAAAAmwFTW6TTvAQAAADC1Wmv7k7w8gzrZW6rqhqr6SAbLapycZF+SX1t22f2SfGOSh60Q7wtJLkxyIMlPJ7mpqj6U5MYMluKYT/KjK6TypiQnJLkjyQ9U1dWrfM7f8I8GAAAAgDEzrXU6y+YCAAAAMNVaa6/sCoE/k+SsJA9J8vdJfi9n/DR/AAAgAElEQVTJ/1i6pMaQ8f68qs5O8rIk35XkMUluSvLOJK9orX1uhcuOW7I9Z43wJ68nFwAAAACYFNNYp9O8BwAAAMDUa61dnuTyIcdemuTSI4z5aJKL1hqzbPyeYccCAAAwYa6/YqszGK3TvBQe2DzTVqezbC4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9GzXVicAAAAAAAAATKHrr9jqDEbvtPO3OgMAACaIN+8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAz3ZtdQIAAAAAAAAA6/bWC0cf86LLRh8TAABW4c17AAAAAAAAAAAA0DPNewAAAAAAAAAAANAzzXsAAAAAAAAAAADQM817AAAAAAAAAAAA0DPNewAAAAAAAAAAANAzzXsAAAAAAAAAAADQM817AAAAAAAAAAAA0LNdW50AAHBPe2b3jTzm/N6ZkcecZuZoMpin8WeOAAAAAAAAmGaa9wAAAAAAAAAYvbndmxBzYfQxAQC2yNQvm1sDT66q11TV31XV56vqzqr616p6R1Wdu8p1c1XVjvB5ZN+/BwAAAAAAAAAAgPHnzXvJdyW5svt+KMk/JvlykkckuSDJBVX1itbay1e5/l+S3LjKua+MMlEAAAAAAAAAAAC2B817SWXQsPe6JJe11j6XJFV1bJK5JP8tycuq6prW2uUrXP+7rbW5nnIFAAAAAAAAgNF464Wjj3nRZaOPCQDb1NQvm5vkA0lOb6399mLjXpK01u5srb00yRXdoR/fkuwAAAAAAAAAAADYdqb+zXuttS8cYcj7kpyf5Ft6SAcAAGBs/NibPzTymG/8j2ePPOY0M0cAAAAAADC5pr55bwjHd9uvrnL+3Kp6dJKTktyewZv83txa+0wfyQEAAAAAAAAAADB5NO+toaoqyXO73f2rDHvqsv1nJ5mrqp9srV26WbkBAAAAAAAAAAAwuXZsdQJj7seTPDbJnUl+Y9m5m5O8KsnjMnjr3n2SnJPkiiQnJPndqnpGf6kCAAAAAAAAAAAwKbx5bxVVdWaS3+x2X9Zau2Hp+dbaG1a47P1VNZPkHUmeleTXq+ry1lrb3GwBAAAAAAAAgG3prReOPuZFl40+JgDr5s17K6iqb0pyeZLjk7wlyWuHvbZr1Jvtdh+e5NtGniAAAAAAAAAAAAATTfPeMlX1kCTvS/INSfYlef5635zXWvtEktu73W8ebYYAAAAAAAAAAABMOs17S1TV12XQuPfwJH+d5LmttbuOMtzidZYmBgAAAAAAAAAA4B4073Wq6n5J3p3kW5N8MMkzWmtfPcpYD0ry9d3up0eTIQAAAAAAAAAAANuF5r0kVXVckj9N8vgkH03yva21L24g5CVJKslCBo2AAAAAAAAAAAAA8DVT37xXVTuTXJbku5LckOS7W2u3H+GaR1fVb1XVo5cdP76qXprkJd2hV7fW7tyMvAEAAAAAAAAAAJhcu7Y6gTHwg0me2X0/lOTtVbXSuJtba8/tvh+T5EVJXlRVtya5sTt+epL7dN/flGTvpmQMAAAAAAAAAADARNO8lxy35Psjus9K/nnJ9/kkL0/ypCSPTHJakmOTfDbJu5O8sbX23pFnCgAAAAAAAAAAwLYw9c17rbVLk1y6zms+n+QVm5EPAAAAAAAAAAAA29/UN+8BAAAAbJY9s/tGHnN+78zIYwIAAAAA0L8dW50AAAAAAAAAAAAATBvNewAAAAAAAAAAANAzzXsAAAAAAAAAAADQM817AAAAAAAAAAAA0DPNewAAAAAAAAAAANCzXVudAAAAAAAAAAAATKy3Xjj6mBddNvqYwNjRvAcAAAAAAAAAAGxfc7s3IebC6GMydSybCwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3btdUJAAAAAAAATJzrr9jqDO5tozmddv5o8gAAAGAo3rwHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD2zbC4AAAAAAIyb7bYkq+VYAQAA4F68eQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAeqZ5DwAAAAAAAAAAAHqmeQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAeqZ5DwAAAAAAAAAAAHqmeQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAerZrqxMAAAAAAKBn11+x1Rnc20ZyOu380eUBAAAA0BNv3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ7t2uoEmC5XfuyWrU7hXjaa03mPOnlEmYwHcwQAAAAAwLZw/RVbncG9bTSn084fTR4AAJPGf9uxTXnzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0zLK5AAAAAAAAAKxs3JYptEQhALCNePMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRs11YnAMD6XPmxW7Y6hXvZaE7nPerkEWUCAAAAAAAAADAZvHkPAAAAAAAAAAAAeqZ5DwAAAAAAAAAAAHqmeQ8AAAAAAAAAAAB6tmurEwAAAAAYV1d+7JatTuFeNprTeY86eUSZAAAAAACwEd68NwJV9fSqurKqbq+qL1fVdVX1U1Xl7wsAAAAwAUZd36mq06vqD6vq5qo6UFU3VNVrq+qBR7jugd24G7rrbu7inH50vwwAAAAAJse01ek0l21QVc0m2ZfkaUk+l+Qfk5yR5PVJ3qmBDwAAAGC8jbq+U1XnJrk2ycVJdib5aJKHJHlxkmurasXXH1bVQ5J8uBv3kO66nV2ca6vqqev+cQAAAAAwIaaxTqexbAOq6olJXpXkUJKLW2sPb62dkeTMJLck+f4kl2xhigAAAACsYdT1naq6f5K3JTkhg6LiQ1trZyU5Jcn+JKcmedMql1+aZE+Sq5Oc0l330CT/vYv3f6rqvuv8iQAAAAAw9qa1Tqd5b2NelqSSvLG19tbFg621j+Tw/1hmq+qYrUgOAAAAgCMadX3nhUkenOTjSS5prd3Vxbstgydz704yU1VnLr2oqs5O8u+788/rxqe7/me6eCcn+Ymj+ZEAAAAAMOamsk6nee8oVdUDkpzX7a7Uhfn2JF9IclKSc/vKCwAAAIDhbFJ954Jue2lr7eDSE621G5Nc2e0+Z9l1z+627+vGLb3uYJLf73afO2QeAAAAADARprlOt2sUQabUY5Mcm+RAkuuWn2yt3VVVH8xgDebHJ/mzftMDYKtc+bFbtjqFe9loTuc96uQRZTI+xm2ezNG9jdscJRvLyRz1w/+XAFinkdZ3qmpXkrO63f2rDNuf5Hu7eEs9YYjrkuSsqtq5vOAIAAAAABNsaut03rx39B7RbW9srd29yphPLRsLAAAAwPgYdX1nT5LFZTs+tcqY1eI9Ytn51a47Nsk3DpELAAAAAEyKqa3TVWttozGmUlX9XJJfTXJNa+0Jq4x5dZKfT3J5a+0ZG7hXS5IdO/Ra1n1OHHnM9pXPjTzmNDNH488cjT9zNP7M0WQwT+PPHI0/czT+zNH4M0eb49ChQ4tfb1ptTGvtYUeKM+r6TlU9LskHut0TWmsHVhhzfpJ3J/lSa+3+S45/Ocl9kpzfWnvPCtedkOQr3e7ZrbVrj/T7GD11usO+4b6jryvf/OUaecxpZo7Gnzkaf+Zo/Jmj8WeOxp85mgzmafyZo/FnjjaHOt3G63SWzT16x3fbO9cYc0e3PWEUNzx06JDlUL502zCjdnZbf6+tYI7G33BzlJinrWOOxp85mgz+nTT+zNH4M0fjz7+Txp852iw7jzxkKKOu7xy/5PtqMVeLd6Rc7ljyfSS1Jo6eOl1y0xeHGrbOf7Z50HyUzNH4M0fjb8g5StY1T+ZolMzR+DNH488cTQb/3TD+zNH4M0ebRp1ugzTvHb3Fjsxj1xhzXLf96kZu1FrTqrsOVfXpZLjOXbaGOZoM5mn8maPxZ47Gnzkaf+Zo/JmjyWCexp852jKjru8sfYL32GX7R4p3IIMnelfL5bgl3zdUa+LoqdOtj3+2jT9zNP7M0WQwT+PPHI2//8/eWYfZWVx//HOyG09IIEFDSPBgwZ3i7u7u7m6laCnFihRrkWI/SpGipXihFJcWWlxavEiBYEnu/P44ZzJz3713s0k2+97dPd/nOc+9d2bed993zr7znjnqPGp8OI8aH86jxofzqPHhPCoV3VZP5/UdJh+xRk1r9W9in9ezcTgcDofD4XA4HA6Hw+FoPLS3ficfU++c9c43sWvJ213X5HA4HA6Hw+FwOBwOh8Ph6Erotno6d96bfLxun7OJSL0MhnMUxjocDofD4XA4HA6Hw+FwOBoH7a3feQcYWziured7vdBf77gfgXfbcC0Oh8PhcDgcDofD4XA4HA5HZ0G31dO5897k43mUyX2AxYqdItITWNJ+PtmB1+VwOBwOh8PhcDgcDofD4Wgb2lW/E0IYBzxnP5evMyy2F8/3ZKG/3nHPhhDGT+xaHA6Hw+FwOBwOh8PhcDgcjk6Ebqunc+e9yUQI4Svgfvu5W40hWwDTAJ8BD3fQZTkcDofD4XA4HA6Hw+FwONqIqaTfucU+dxaRprxDRGYDVreff6hz3Bo2Lj+uCdjJft7cxutwOBwOh8PhcDgcDofD4XA4OgW6s57OnfemDKcBAdhdRLaJjSKyMHCO/fxFCOHHMi7O4XA4HA6Hw+FwOBwOh8MxUUyyfkdENheRd0TksRrnuwT4LzAfcI5FBSMiQ4DrgWbgnhDCs/lBIYSngD9b/3U2PkYVn2vn+wS4bMpv2eFwOBwOh8PhcDgcDofD4Wg4dEs9nTvvTQFCCI8DJ6DzeL2IvCkiL6JpF2cE7gLOLvESHQ6Hw+FwOBwOh8PhcDgcrWAy9TsDgBHArDXO9xWwNfA9cCDwvog8A7yHltR4B9i1zuXsDLwLrAC8Z8e9Dxxg59sqhPDN5N6rw+FwOBwOh8PhcDgcDofD0ajorno6CSG0x3m6NURkfeAQYHGgJ/A6cCVwYXvUNnY4HA6Hw+FwOBwOh8PhcExdTIp+R0R2tr53Qwgj65xvAeB4YFVgMKrcuxU4NYTwRSvXMS2qpNwYGAZ8CTwInBJCeGXy79DhcDgcDofD4XA4HA6Hw+FofHQ3PZ077zkcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw9HB8LK5DofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwdDDcec/hcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HI4OhjvvORwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD0cFw5z2Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDg6GO6853A4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwORwfDnfccDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+HoYLjznsPhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HB0Md95zOBwOh8PhcDgcDofD4WgniEivsq/B4XA4HA6Hw+FwOBwOh8PhcDgcnQPuvOdwOBwOh8PhcDgcDofDMYUQkblE5CFgFxFpKvt6HA6Hw+FwOByOrgIRkbKvweFwOBwOh8PhmFpw5z2Hw+FwOBwOh8PR4XDFu8Ph6IJYD1gJ2BUYWe6lOBwOh6M7Q0R6uCO5w+HoSgghBFvbhkHSKYhIc/7b0VhwvjgcDoejkRDlBoejEeHOew6Hw+FwOBwOh6NDISJNIYRg331P4nA4OjVEpLd9vQK4C1gS2DprdzgcDoejwyAiPUIIlRDCeBEZLCJDyr4mh8PhmFKISF/gMOASEZnTnPl6hhDGgTr3lXuFjiJEpNn54nBMOUSkZ9nX4HB0dkQbRAhhnIj0EpF5yr4mh6MIN5Q5Og1EZBERGVX2dTiq4VG8jQuLRIwRiB7h1oAQhT9DnQD58+RoTDh/OhfMkNhPRE4Adij7ehwOh2NSISKbiMgDACGEH8xwOAa4FPgG2AcYXeY1OhwOR3vB962dA3FPFEKo2O8TgXeBHd3oWz5MB+T2mAaHr3eNixDCd8BwNNv1z6xtrIisIiIfisju4PqhRoI5SEwjIkeIyKxlX4/D0Vlha52IyNLg61wjIcp2zpPGRY090o7Ah8BZMZuvw9Eo8M2io1NARLYDnkPLDzkaANnLbrz9XkNEZi73qhwRFtVWsQjE/nmEmwuRjYGYdcocWAaJyAIiMswV6o2HwvM0nYjMIyJ9yr4uhyI6wXokb2OjaAARkZ8Az6IK93VEZKZSLswxUbjc0DhwR/KGw2nAKiJyjP0OACGEO4GbgFmAPURkUEnX53A4HFOMTNaOup+ZYns+pqzrcyRYtr1c9/Nz4CSgJ/CDfTpKQsw+FUKouHNYYyLK2tl616vQ72tdY+By4EtgWxHZRkRuAB4AZgQWBc/A10gQkYHAm8CZgD9DDQjLaJn/dj41IERkNmA8cKtntGwMRHkuOoQ5TxoTNfZIWwK/BvoBrwM/lnVtDkctiK8ljs4AEdkEuM7oYMto4CgBJrz3iIoMa7sK2BFNW39hCGFsSZfX7WFKpliGsD/Kk6VQwf5j4LfAiyGE70xoqZR3tQ4AETkK2BMYAAwFngAuA651/pSL/BkxZ72DgS2AwcDxwM2+3pWLgiFxIJrBrQn4DngqhPBSmdfnaAkRGQ58BPwO2BDNUHV+COGdMq/LoRCREcDCwFfAlyGEF0q+JAct5W9T2kZD/PvmXC6uKOwYmKJ8nEW8PwG8CCwbQvg+yg4isihwK2pE3AK4y/njcDgaFW15h4jILMBPgRXR98/rwC0hhBs64BIdbYSILAUsCLwMPIg6tBwVQvhnqRfmmADLDLYG8DlwF/B4COEL19E1DkRkMeBwNPHF+8CNIYSny70qRw4ROR44OWt6CLVJ3FrSJXV71JIlbB87O7pfei6EsJKvdY0DERkKHAHMBryFvo/uLveqHPVg/Po7+l7a3PWo5aJgh10f2AgYi2ZzeyCE8Ncyr89RDbNH7Ar8GTgPmAbYLYTweKkX5nDUQHPZF+BwtIZMmH8X+C+wDnBguVfVfZE5SYwXkSHA8sBLqMD4Cfryuw9VEjpKQCYwbg1cAAyxrm/RSIJNgauBw3yjXC5MGXghsAxq/HgU5dHywJLA3CJyjilx3SBfAjLHvZ2AX6LP0zjgSVSJ2wfdlDlKQubIsh9wKlCV3Ui0TNQNIYQ3S7g8RwZzKL8MXfPOA7YEdg4hXGP9vs6VCBHph2YR2wN9FwF8LSKXAr8LIfzdlexTDxObW3s2xovIdOhatymatWAw8KCInAz8zc7lz9JUhjnuSQjhSRHZHHg4hPC99cWI6+dF5ErU0WU/NNPoh6VdtMPhcBRgBvU9gD+GED4qBC41hxDGZWM3Bq4ApkP3PxVgIWAzEZkbuDqE8G6H34SjCiKyIOpUPg44H9XT7RhC+DJm0XEZoeNg2VgmZGIRkUXQjGGLZ8O2RY2Im7ucXQ7y9c4y7Z0EHG3dAZW5dxORXdwxrBxEe0Tc51gW//2zIf8XQtimOL7jr7T7oobc0AN0b2TPVU+gr2i1mXF1TuPoQIiWjPwV6sCSt+8E3BpC+MZ1Cx2Picx5f+ALYE4sU5jzqDzY+2g+1L63ijVXUJvRz8zJ/MoQwofOp3IhWg3jt8Bq6Jo3J7BldNxzfbej0eBlcx0NBdFShM+LyMUi0jszfjwHvIqWHtrYxnr65g5G5iRxBBplfRvqqLcnajxcANjaDPSOdsKk/q+LyBaoMDIEOBcYhWbR2QvNpHOIiOzT3tfpaDssi9uRqBPLrcDiIYS1UAFyK/S5OhDYHVzBXgZE0dccIq5EnVnOA0aFEH4C3BRC+LrUi3QgIv1E5Feos3IFTXm+MXA6+p46CThZCuVuHKWgGXWunB3YBfgXcJuINEkhfb2jYyEiywB/AQ5Cyw9dZPQJmnHidyIywBUZUwcicgpwTRvGbYxGWe+NPk9/Q+WFtYAbUTnPZYYORgjhlhDC5yKyloiMhglyHqjD8jMojzYQEQ+edDgcDQFbp64HLgH2geR8bN+jI8v81nQk0As4BtXLLU/KeHQUcLgUSq45Oh4hhH+gzmGCynCvm+Ner2Ao9wq7F0II423OY7niE9CSnv8HbII6WH4ObGpBZ44SkDscoTq6g4EX0LVxa1ROnwa4SEQW7vgr7N4wh4foiBfLTc+KJnr4s/1eLMrf5kTmjnsdDAtu6iUi24rIkBBCJZMrRqEyxFshhLH+LioXpuseApwCjAF+AWyG7l1BgwU3BNctdCRqBVlEJ9gIC5R5F9Wtrlwc7+hYiMgCwO9Rx717UXvE4sCJqO7uVHQP5XzqIMTnqGhPDyH8D63q+D5wCBqM9lj23Lm+29FQcOc9R8NARGZElUwLo0apo0XLckREo9bKItLTX3gdDxFpFpGLgDPRTGGnAisBZwD327A9qI4idUwhLIpjGhGZGSZE71LLAGhRBEeg/NkwhHBYCOG1EMKbIYTLgWNt6K8sKtvRgcgEx03RrFPXhxA2CyG8YgqpH9GyNs8BA4FjRMuuOToY9o6ZC13TPkCfp0NDCG/lEfTFjbSjw7EMmvX1FWDtEMJ+IYQ/hhCOB9YF/ok+a0eUeI3dBsXnIds097CN8oWos9EigIQQvjKjlm+Sy8VeqCHxGrT05wGoA/n8wB3AaOCs8i6v60JEZgKOA7YVkXVaGTcSdUaeGc0EO28IYSNgVdTA2Ad1nNjIxvu7aSqjoFTfBLgHdaIkaPncphDCh6hjTAXNDjJnGdfqcDgcNfAD6kA0BtjOMoJNeH+ISH8ReRz4h4gcBswA7BFCODOE8FkI4bkQws+AQ1HH/52AHcu4ke4EEelRL7gz6omAi4HX7HuziExjegZHB8KCAZtE5P+Ap0RkHrSazJEhhG1CCLeHEA4BdrZDfioiS5Z1vd0ZFoDxpYjsggaZvQOsHkK4NITw+xDCzmjQ7UzAYaKZsB0dBNOJDxKR60lO4zcB21oQ9B3A3OheCcAd90qAiMyOOhVdC7wiIieLyNLWHQOf/2tjPSFHCRCR2UTkQdSR/HjUAWyjEMLRIYRbQwh7o07lMwJ7RHuE86tjEPULIrKBiBxtbRN0pZmO51H7HNyxV+iogd1RvekvQgjrmj3ixRDCqcC+wGfAXqIV0vxZmoqIcnd8jgr6uhhEcwvwILoP7o8m6AjOF0cjwpX6joZBCOFj4A37+S0aJXpMNuR14CNgHlIpUEfHYhSwEVryab0QwokhhGdCCOegEToPoErdvSyCx9EOMMXQL4Cr84hDi2orruPzAksAfwoh3Jk5TjSJpj2PZaebgOEdcweOiExwXMI+78j7RGQD4AbUGQk06u2ljrvC7od6ETmGDVClxcUhhAcklX0Yn0Xy5psBF/anAuo5oYhm09sTzYp4aAjh6ayvCXUu74uud7uJyMAOuNxuiWyTHJ1ap41dhc8/AfehhuJmEVkCR6kQkRVQg/sdIYSdQwj/hgnvK0Hlb1DZboWSLrNLwpxaP0IdHwBOFJEBxTH2dR/UifKwEMKRIYTPAEIIX6LKp1eAOdDSHAPdIbZjEbSE2nvAKBHZ3pqjE8W1wF3AgsD24pmpHA5HA8De8w+hTsdzoOW9Y3k7CSGMIckAR6CBZffDBN1CfD9dh2YpHwDsKCLDOu4uuheirG16gxlEZMZM5ibTE72E8nU8atidrZwr7t6wRIfjUYe90ehz8pTpT+NzJCGER9CKGQIcnzlhOjoO86KZ9U4AVgBODZpVuaekDP4nomvitsCqHijT4VgRzYK4jYgsbDq5N63vl/a5v4gsaGukP0cdj4/QPev5wFDUOewhETkV1duB2vs8A1V5WBbN1rYJutZdE0J4xgIDetuYXwN3W//GItLH+dVxMLvQ7cDpInK6iAy3dsl0PDEgY27r8/fRVMJEgmbmALZHA2bOKvQtiSaDGIIG2i4BvvZNLUSnvRDCeBGZVkS2EpGNRWQ9e3bGAoQQvkIzz7+F2vMWtXbni6Ph4Au7ozSIyMIiMr19jwLi1fb5a9SRbz/R2vAAbwP/RoXHgXac/w93LJZDS6Q8FUJ4zoz1zfaC/AFNOfs2uqFezfkzebCI3An/3yGEz9EMYKuTIgkRkd2BL6U6U0ssa/OaHRtEZBXgZlRZuAxWUjeEcM/UvZOuCxHZUET+IiIjCu09JvZ/L1rKIR73qLUtISK/Bf4ArIFulOe26DePGp0KyJTltSJyYlbLD+1zhI2piMjcIrKaiBwmIncDF4vIDqKl3j1apx0RFa6ZQ1hv+4zPWDOwEJry/OXsuDXQsu5XoMbIS4CFg5c5nly0seMAACAASURBVCqIz5FtkmcUkXOB20Ujem8VkdVQJ8r4nF2HOhrNCiwhXkayQ9DK2rS8fT6eje0hIjsAj6GOZWOAE0MIj03dq+x2iO+di9CMu0ujjpRpQFLQLgt8hwbKALomisgeqHPYSiifLvS1rv3RmmyXrWGH2OfZolnifxQtU/gjmnX0SzTL5WJT92odDoejbQiaFflydM+zpYisZ11xzfsp8CkaoPkWKnvHQKaKff8UDUh7CVgAK+HlaD/kAWSiGRFPRx0v/wK8JiLHichcNjY6Gl0KPIVmu15VUsYJRzujFaNulA+2s89lgO9iu+l54rP2czRj1QaoU4WjnSEpq6hkbbFU2q+AR4CRaJbk6GA0NmatDCG8DPwG5dn+gDsqtzMmokv9C/q+GoE5m8djQgh/QTOO9kMdxiY4MzvaF605RYYQvgsh3BY0o+hSwDno/vRYYHN07/uNZEG1bjea+ig4H92G2lxnQ6tmvRrHmV2PEMJraADAJ8AWqB3W0c4ovpMyHt2LOv1/jJZb/Y2IzFWwNzxkn8uJyAAP3Gx/RJt3FjQzIK5dmUw9CHXOeyIG14rIMHNYvhPNSP4ysFoI4fASbqPbIL7zReQI1KfkBjTL3h3AnSKyVTb2Tyh/+gPrFW27DkejwAUkR4dDNHLtdOB5zCs9Cojo4voWmuloZ3TzfIKIHGGZ+R5GsxhE5Yd7RbcTWtuAZVjAPp+1zx4hhHFZhO8/0M20oKWPPbPbJEA0evp54M8iMps5CkXH1ujEeoKIbCoiT6NZ2QYAI2ooDMeIyOyiZY5vRzMmPg4sHkLYPYTwRQfcUlfGwajDw76xQVIkfEVEhovISiKykIhUpTEPIXyPKjAA9hZNhf5HdM17E1gnhLB+COHNbBPXC0ebMTEHOuPVeNuAzS8i+4jIdqKp6ZtDCONs6CNodPUeInKdiNyKPk+3oO+vtVFD/NVolDakDGOOKYApYePma3GTG34tIrPHjCDAtOga+H0I4X0RmVdELkEVUuuhMsPoEMK+7swy9RAdX0VkT1SOOwhV1i6EGqDuJkXDE0J4Di1zA1rSeN6OvN7uioKDstRYJ1+xvlVRR/Kr0ejQK4HZgpZ9cLQj7B3UbFGgcX6PFYuujhDNYjQL8LFl00FE1kXLd12KZnO5CJgxhHBFh91AN4A9KnlW0WmK/VFmCJp970FgelKwTXRu+TOqQByKZrGcFofD4WgMvIQGugxEg2f7mpNYUwjhXeB0Gzc3tqbVMLa/DDyNZq6a1cb4nqidkL2DtkKDNI9GHYw+Q/UKpwDXiAaT/Wjvpk9RA/04NBPSPKVcfBeHyXEt9NK2l43ywR1o8IWgZbpCwSGzyfh1ph1+fFGH5Jh8SCEgMOeXyeLRCH8G+rz8APQpOPnFNe8K1IlsRWAzd4ptP9i6Fde6Jvuc8K4Jmm38t2h2ty1tLwRJ/3Y2WpJ1giO62Z/c9tkOyJ6jqKNbQESGZjaL6CQWxz2LZu1dGnWsfI9kK7pZtFR1C5472g/RjpA5H/Uw++v/Af+wYXOLBp1FPsTn6QFUrzoK2EJS8hWX7aYQ9d5J2edYcy7aHrgHTeRxnYj8JHt/fYPqXpsovK8cUw57VkLQimf9RORwzBnMZLaxNnQG++xnx+2FVlw4Fg1gPyCEsFAI4aHi33C0L0RkhIjcjMrSAZXXjgT+jDrD3iCa3CbieuAZ1Ha0ustzjoZECMHJaaoTINn3JjQa9xNU+XcUMJ31TUsq7zADqiB81MYdTFIY3odmDiv93jo7oZunHtnveVCFa5+srad97mLzfzfQXDhPD/scgmaWqKAlWnuXfY+dhYCZUWeTCnBSjf7rrS/SjcByhTFrWN9/UcVuBc1KtXU2pgnoaZ/rA/PF/4Wy56DRKT4XaFrlb4CxwBJZf29UUByDRutWgBeBHYBps3HbWt9X9vkNcEjWL9nfGo1mPpqt7PvvDIQaxqe3702tjJsOFeYrBXoAWCUbt7a9r8ZY/0eogesg1Cn28OzYecu+/65EtibeWODPuYUxT1p7THteAd4BNs3GNNlnv7jeObU7r3aw9fB71GllJjQbwYaooraCRsj3svHDUVmighog+5d9D12V0Ijqk4HdgTVq9J9ofLgCdUr+2n7/BVg0Gxefo+nLvqfOSKjz3ULZu72ZTP62tltt7s+pcfy/0P3RnsAFaBa+uCcaVWN8n/a+h+5GVO+PpkMdWO5Do+GvMn7G56K3fY7O3lcjC33zo7L5WGBTXO52cnJqEEKz/D9ja9fe1ib2ORD4m/Udb235+hjHHWJjbiv7froaobqbvVHdwddoUMzIrP8Rm/uzcpkaDdj/vfWd6fJ2u/Kk6hlAs6scDRwDLAkMiLyzz/kz+WC0tUUZIteXP2Zjjij7HrsCFfi0HOqgdyKqy1moxvirbP5/R0GXRNJ5b43ueV+vdQ6nKeJXP+BXwGF1+vugGWErqINE3FfFZ+lQ63ui8Fz1A5bNxzpNEl/yudwM+CuasXcMqjPYq7XjUDtR1P28j5b8rKABnduUfX9djYDZ0Wyuv0V1PLugQX75mJNsHXsQmL/OeVYB/o7qwJ1PbZ//kXXai/bXZVH9wqnAAcA8NY4ZiGYO+xH4ANjN2mdEnfcqwIh4/rLvvbMQsKR9tvo+sGfnM5vnccB/gM2y/iHA/0j60yjnXQD0y8ZFfdAotCpQ6XPQ1QjNiFxB/UgWLvQdZH1PktntrP1bdB/l8pxTw1HpF+DU/Yi04d3AhP1vgJ8BA639aFtQD7Tfs6DZqCrAaWhk8Mu+qE76nE9kzFxoadUvUUeVuzGHr2zDtZJttP4JrFDjHM32GR1iXnWhZJJ5tRaalXJn+91ktEEmBFbQ8nX5cU3Z9+dtzA+oY1He1zv7vghapu3Msu+7kQmNmLk2+x2fh7Ntnm9BFeOD7XvFhPs7gRfs95f2XPSzY5dBFR4VVEHbKzt/H6qVI1egBvtly56LRifUGbUC3FynP/JuKTSDaAWNODzGnpW7rO0DNEI0KgHnQzfW6+a8sr6+qCF/PLBB2XPQ2YkkI6yIOqtU7FnZG3XwH2X9kTcHZuvij8CRhfPljuiHoaVuRpR9n52BUGeV4TlvaGnEEBv3kq17K9U4z57Gn/+hckR8DrdBS7G9TA2ZwmmK+TeYlg7KY+05mCkbt4T1jbfPfwPbZf1NJGXTbGjW3/XKvr/ORKgj8tloeZNVCu/4mYA57fviqFPeOAoKRdToHuWJCmow3DA7T3PGp3XtuZum7HvvCmTvn+jUOi7jwdvAHtm4yKuLyWQRWyfjuhf3uQ8Cs5Z9b05OTt2HqOEolPehWeArqC5hNmuP+p0Nre9TYJi1RZk9OidFp4kL6/0dp8nm3QKobuc1skAMk8sOQvWqFdSRYp3Ce2clVL9XU053qjvnqwOztGHcFmi521ze/gZ19p+3MPY867+9xnni87kWKWBwzrLnoZEJzT65EZmBvM644WhW8WLQZgV1mBiWjZ0L+Nz6VimcJ5ffY4DhLzBHTacp5qcAO9m8Po3ZfGgZ7DQ3SZe3Vz4GdXR52vqOsbb10OxVFWoEPDm1mT9zFJ6j54D70cQBFWBXCrrSjK+C6l1fQfepO6P2oniuh1C93txl32dnJlQfcFKdte4JYJFs7Lxo8ogfUaeX3FYU5YfeaBWoH4z3c+f9TlVzL6gt586JrTX2Trq5Bo/eReXtuJ7FwOdh9q7K9XnNaAWGCrB92fffWcjeEe/bvA23tlo67j5odaUKKWhmDlQnPjAb1wPVj0Ye3kfmhAn0Iu2lBtn/R1WgjVO78HVadJ/zbzKZLuPTvqTkKceT9KazoM6xFeA4XJ5zajAq/QKcujahzkFH2iK5HZZhL+vfMRPYT7e2WVED4pVYpipgNdQ7ehzJeLKO9XnUVO2572sCwZDiPNEya94qJIXff1GlbDTi5srBkahzy1g0imcaa4+CpaBRwfeSso6dh2ffmxS+9Y6CYKF9Z+BPJKXD37K+uLGKCr/NSAbGPNIjdxBbBxVYP6eglHKqmvf+mRC+ej6PaHbQmFFqPWBN+345aRPQF43ufcf6zrD2AahT4Leog99SNf72aFTwr6ARcy5ETpxfo1HFwljMOFHrHUEyrF9GIYsUcL71/YE6TuK2zsXnrh8py+XosuegKxC6AY6ZRs9r7X8fdcR8jiwbiLX3Lrz3trf32v3AoLLvsdEJjeT8tb3zhxbmsm/h3bK0zf8N9js+G/3RMl1/z9bRn2TH9be1rYJG2E+fH+80xTw81+b2JbSc2rW2Pv4POLUwNiosni209y38/i3qXLZj2ffXmQhV/v3G5viCAo/GoIrB6PzwSxt3W+G52yyTJX5bPH/2fTBqtHqNNhidnVrl2xDgHJIR/XR0LzQANRZ/hUZfr2bjoxJwMGkftEqhbygpQ9IRke9OTk5OU4toaZSqaTBC97a32fp0WqFP0DJrcY/UQr8D3G79+5d9z52RyHRqNfqmQfdGC8SxqH41ZkT8nqQ3uAOYuXB8dBq7Aa9gMjE+NKFZ9itocF+L97TNf09SBv7vUf319qgxPWZpuRdYOTuuPylDy9rW1lzj/FfZmOvLno9GJTS74beoPm7pGv1xP7ogSVfwCLAbap+4ydq+AH5VODYa7B8ornUknevywMc2buX2vr+uTBlvaq11I4HrUF32GXWOb0IdxSqoE1/UvUYHiVVIuod3su9Pok4wrmso8AOYodBWtBmNQu0RFbQE4fpZ3+aojuFdYN06f2N6dN/0McmONBi1c8R310d4wPqU8LEXqlOLwZjHohn4NgOusfYXyOQDNNjvK1R3sEThfPE5XQjVoVbwjLBt4UOUoy+p078hyX7wBFqdZDE0e/UHqI18cxtbdFw+IDv2JlQ3USFl45to4pbuTNn/dLQ1XNXK2CXsOfo31XJcC1ndePoBqieNeqFmqnV0s2T/GweXPReNSlhwa43//bp7JGtfweb2tkL7etk7pgJcSEu5bkt7N71KZq9wcmoEKv0CnLomoYaJq7LFMdI/yTITocasNdGNWQUt6TU9qvh7FRicjV3VBJt4rrvLvs9GJpJB/HL7XWtj/BN0o3aLCewHoRvhedEIwgoaHTVfdsyeqIPf28Au8dxUR+Y8i5b+egPNTjFvvWtwqsu/hVFl0Xb2e1B8HkjC+q72u5bCLwqjj6LRwH2tfW7UEPk1ajA+jIJx3mnCHEblz775s2RtUXDcj5Sh4HwyxweSoXYgqeT0BAcvNJtbzIr0JlpKd0lUMXKGPWMVtNRNi/TpTnX5drzN2/1ZW76xWtT6/0bLDcG0JMe+CupgHnld9WnfZydFXbcoc+jUKp+E+huv7WxO/5q9W3rUeY/1J2Xf+xp19s8dXuZBndDic9aibKhTXR5FJd0JWduRqLywefZMxDXytGzcBlRvks+i2oE8HruKvdP+A2xU9j13dgK2Qss8rYkqkK7CnFVRhe5eaIDGp2TZ81CFYeTVphQytqHKkIet/0oy+dxpojyJa1gsO/MxcBEpS8HbqFI9Ou9NTzI0bZ6dZ1ZSVO8fKRhZbMzaJBnx8LLvvbMTaoSP76JlsvZhaFaDGL37aNYXAzxidPwLWV+UK3ckOVi0mi3GycnJaUqI6j3Qyqjz1j1o5veDMGewONbkh69NLlva2uPatShqoK+ghuCNUN3RIqizRQU1ALtz2KTxqIn6e6Jczzadje2POn/HLLBXoY5kPVHnhwrq2NIzO8/caDDHWDSzlRt468y3fe6KGmH/DsxeZ+xcqM76czJHFuv7CfB49q6fLuvbx9pfrvF3o2PYQqgudYey56RRyZ6HqIc5lsxIXhh3Cilos1hB4Vg0iH08sHvWPgDNDF/BKqLUOfev7PlzWa7tfKuZfIFq/U2s0vQmKYBaCuNnJTmTnZ61Rx3DIeje9d+o0+baZd97I5K9Uw5EbW3LFOeaZIOI9qVTC7zaEHXmi3qEm4A5avyd4aij7bOoU0vROXB9PKBpSnn5E3sfvQDMVaP/UZLzynTWNoQUmHFaxu/i83YQGtTb4rxOE+Yovr9by946HypXjLd306Csbw3gRdQ+/ghWKQPVg8d1rRmVuWMSnO/s85qy779RyeYsOoTlwZTPAQfEOa5x3O9sbo+z31JrnPVNT3Kk/ABYjiwBAWoPjDLFVXiAba05HIXqMW+NcxfnnPpywwQbESmhQPSBWBi1t35v7fdQsKtmz2xfNPAmJpKaqb3vz8lpcqn0C3DqOpQtmIsCT5GiOg5BnfLii+9T1EiVC/x7oo5EH6KG4VgaarXC31gQVThVgEPyv+s0YY6i0Wg20gZqRGFMH1RhW0Ejnf4JbFvjXHfbmLNJxt+hqHPLD8bLdbHobePPXWgE5OzopmCCQb+eoNPdqTgvqHAZoz3vI6VkjoLFRtb3GaakoqWD0VDU8eJHG/si8BeSo+x7wMZl33sjE9VKiy2LPIpjSOVvK8DV1l6M5OhFiuC+JWsfjAqnuZNz5NE3cZ1zmiS+DbU1bYKytfC+2Y2WSr4+aFm8mCHsv8B+Nc7dE92YDUVL7cYN2AN4ifDJ5VfuDBnXuGNsXk8s8q/OOaYhZUz82J6pY9GNV4yIfw6Pim8rTyIfVidlJNiH5BT0DepgGcdtY+vWT9FN85XZu+dOJlLyCTg5e9/NWPb9d1ZCyzi8jMpntwFvkRz3o2w4LfAzm++7qc6gGLOHfIYaw3ZFFenXkBSQV+Flp1vjwTQkpWAsEZS/f64h7WO+QJXks2f98ZmKht0XqA5kWg4tKxSfl42B+dGy7r8hZXM5k0K2c6e6PKvnMNEEHGX/8/H56Q3sYXypkDLvVUhlu3JniSiL7Gm/43kEWLPse3dycuoehGbUu4q01/yMVGXhbVR/F98/g4ALKBgDSTqGM6xvPOo89lZ23heB5cu+385EVO+DJla1JOpb10P3qq9TyHJEyrr8FC1Ltsay7RfhThL1+DEhIxiarbBuliHS/uWirK05+74JGgg9noJOx56VCslw3FS8Bqc28Wl1VFddM9AVdRh6F3VwGBV5RNLlTY/uXyvoPndodmwMJnyDwv40Wy/9OWo7z/L/8Z5oIOA2RkMK/UOztexqshKF2ZjeqM5onK2Fy1p7lLVjdsz5y773RidSmdV7s7YNUD3amfZ7B+CUrH8R1DEi6nweQPVt36N61bgfjrLDaBv3LNXZqLySVvvxMWbd26HQPgNaFjeWCn3F2uI6uj7q5PoOhUDnjH+e8KFtPIhzemL2XOTliPdG5YJ1s7b5UNtprDIXAzNObOX8i5MSQYxD9UIeONNyvpaxNen2rC0GzNYr8d0Ddea6D9WrtqiSVedvDUIT40Qd0WOoXjzfJ52Gl8utN38r2zr0EbCNteVywQhUX70XGmBbtLmugupCn0T3qlFH91rheYvy2+DCu2hlVOf9JG6TcGogKv0CnLoekcoLXVYUHtDN1TfAg7SMQDgA3Rx8ZP2fA7/O+uMCu6IvpC3mfCRwbPY7CiM7kdItT8heZJ8/Nz59jjpNxsibpmyuV7C+L9HMh/HYeUmZjL5Ghf+7UUNkBbjUxi1F2qC1KAXb3YnCRjV/XoA5UWe7XKmXK3fvtb4zi+fK+Dczujn4Kyp0/gt4BjiOGtn6nNrEox1IUSBRIbEBKZrjeuoo8dDSGv+z52SJrH2QPV+/Qh0mLkOV6254n0ReZetczJbzGsnxOK6LO5NlE0MdkGPUbgVVFLaI3EbL48aIqTE29gdbS1ts/JzaxLMzMIfXQnssL3l05G2d43MFrqBOz69mvKzYO+ynxbFl33ujEOpYXIx8zt81t2Rz+b2tT6ML49dBDVMfoZGGFdRpZa1sTM+MdiSLyEaVvzdgkfVOk8zDaIDqaetbVPjdlfdn4+cyWaAC7F3oOxjNclAp0Lt4qdyJ8WEpdA8UMybnBtw+qGK8gho5xgFnZf1NFLKRkoJsjsjahJQ9p5KdL35/Gw/MaCu/6hqLSPudYaRI7TlQOS0GWFxoz9xG2dwPjfy2z7VJSvgBE/u7Tk5OTu1NqFN5Xi5ta9QoFYMtKmiGsJ9kxyxqa9oYYFNri/qFWVDjSgWV13dB9067lH2vnZVoY9USG9uDlD1n76wtOqxsn8kFJ5EZ3O1/YeWy77fRKZMBcmf86bPv8Vn4JYWsLIXP/mgw2XjUgD9rdo5V7dj/kXQVLh+05EWb9+yoA9iQAg9mR3Vv/wHmrnPcnKQsiUUny3vis1T2XHQVQm0U7xbWuueAUwvjlkedXD4Dtq9zrj1I2aeuzP9vJuV/p7tS9pzMSArSPIxka6ig1ROi3jtmZVuSlJH/X1hAEnCotT0MLF7gx7JkQQG+3rU/L1Gn8O8xh1Vr2zpb38ZRbTeM/G8mBUJfAQxr5e8431rnQ5TFBqF20gkJBax9GGpn7YE6IG9HKuv+PlqNaS3j45vAIvXmHZXlz7Jjn6HgzOQUQPc6n5ocsHFxLlH93RdY4gaSXrUXya4Qy+DWy7qXZ8ieFs1kGgM9/4fqyG/Bkz3U41EuMx+Oysz3AMOtvTcaLBODziI9iuldbdwgex/F/m+BQwt/K+roeqJ715MK/V623anhqPQLcOpahGZ/+AHdZPUp9M1IcviqoBn5mkjKkX6kMkIxK8VtUXDEN1/15nwAafO7tbUVywE0kUp19smOi8LkK8DIOuePwuDvyUp0oQL+2dk5xqERwLmRcRETVh6xF7HzMEwQ7nLniBXt2bidpCDvSYr2/DuWuYi0cZ4ve5bminyvJVAar4aiznxe6q7tPCo67kUF7WX2Oxf6Y6r5O4GZ65xzFjQb4pfUKA9JElo9gncKeIUK902kzKGnW3t812yMbobvRTPCxvJPVWm0Sc5+s2VtK6ERWPejUVMjy77/zkpoqZO4hkWFXzSGxOyIt5Myu7bp/YHKGquj5XPXpzqC3pVN1XO1OOoovJz9zt9LvdDMHjG7SoVM2VecT1LWyjGYw3nkG9XRpkuiBuFzy77/zk4UStta2xwkA/BLFAyJkW8kJ+bn8zXO+ofbOnkymgFmO9zhv9b851kLe6BZxX9AA1bmy9p/ijrmj7DPq9FApseARWucN66D0fHrvyQZMPYNt793lb3HLgN2K3tOOgsVnoel7X98abJAphrHHI0aB5/CSkla+2jjeQU4J/I963+ALDOfk5OTU0dQ9v7f0tauu4pyA6oPutPkvOujPIDupWI23gficdk7aO8oQ9T4uy4vTBp/JqlqCZot5yk06Hnu7Hxx3xpLhH4EfAKsVPa9NjKhxu9ixuRcRhgG/A3VG0xfODY6xR5vv1v876NOeq+j+tqlC31Rf3Rt2fPQ6ETLLJRNhc/9UUPt3lQHzyyKGubfxRIAUNApoHaIE0jl0gZk512OpK9YqOx56Kxkz9VgUmawL+2dcxxaaj06HB9PKhU5EC0PPt6ev5HW3itb7w5Fnc6iQ/k2Zd9rZyOSjnT/7H+9gupSW5QatjXzZlLQc6+sbw5SGc8Tqc4eH/e1N5V9z52ZqJFdDbUdCVp95BO07PqK2TumAlxHK0lQUB1ddCLbqbhOOk2UL7WSaWxu8/lWrbkHFiNl5z0rO24eNKFNBfjNRP5ub1Jmt9HtcS9diWx+jrD5uZ+UxTWue5ta3ydkjl32GStnnTYZf3c6tDLdXHj210mZtwXsf/974DBrO8r48Lo9J6eRnCPHonukyNejM37OlZ23H9Wy/eGo3HEpai/39c6pYan0C3DqWoQa+8YD52dt/W0j8Eq2iO7RyjlOIZW5+446EXJOVXO2p83Xi6QSaXm0YQX4MRsfo0Gis+QHWERHNiYKM3OQjPITyuRl44aaULIeBccwkvPZ34rHOQXQ7Cl3UJ0h6hxStMdQ1GmyQiFDi33G6KjbCucdBiyZ/x84TRJfcqFuCKb0Rp2TI69iNFsU8BdEU2NPcESqc+6YTXHL9r7u7k62Vl2KOnxdhZYEqqDRugtm40ajJQGiQ9JrwDpZfzNJiT8ULVG4bdY3lILyvrsTWSaBQnvNqOfs/RI30o9R7QizLqqEfZVC6YZsTJPRKvnfqzO2h6+FNedlf3TDexPVTqq7o5kitrF3UMw68GdUOVhLObUlydFolqw/z1qxJWpAeR9Yoez776wErIkqY+82npxAZlBCs8G+gzpSbmhtRUPVDGiAzAQH51rjnGrO/zqovL11oX1ee/+MtednK1K5hmdI5bp6kGS7k0kZV2qtldfauF+3xh/cWWJy+Dgz6kyZG6oewqJ8C2NHkfawUb6Oa9+0qLEjlpBc1NqjfDgyPodOTk5OU0JMhj4FdZCoFNchW9fOQR1eKqgxPq8CMBLN3l8BDra2qF/qS9rTHmNtPV2GmCyeTlLVEjSzRCy5urq15c5Kt6KBZjeQZedzqjn3iwE/y2Tl3PE+vuPnQ3V049AMRhP2lCbnVdCyqv2srZh9rx9qnK9gZbtIuti57Pnbv+y5aFRCs0Xui1Y6GGFtLQJdSSWM76NgKEerJlSAPXPeFsZEvfhDOf/s+9XonqtF0JTTJPFydVQv9zawYtY+GNjH5v9zVD8Rn5EFjKfjsQCZ7LjpUKeVK1BHsU/JMsg6TRJvFkKTLsT90C2FZyBfGzcm7W1jxvGolxNSRr5/Aqtmxx2N2i/6dcQ9dTWy99W1qFz2IpoBPq9y0WxrVQy6+My+P02WTSp7tqYjKyVpbafa+UeVfb+dlYBNUPnrWluXYkWLkwvjBqB20gpZxld7hnqRHC/fwxI/UEjUQZJTLkNllA2m1n11ZkJt4k/YfNaqanan9Z2Z96HVAb+15ykmw6kKiLbPYcAmeZvTZPOqGZXHvkYd9NZCA9IfJkucgerfLicFPq2f9UWZ+xe0lAfnJ+lXH/e1zqkzUOkX4NQ1KHu5bWGL4AX2ewPUuz1uAs6ifknJeI6+6Ob7C9QRo2ZqWqequetD2iQdm8+nfY8ZIWJJh9yYHo3yZ9Q401/AxAAAIABJREFUb1Q6HUBywps976e+IXE++7vfY44vTlVzuhNpg/wIWuKkL1mWKBu3CmoM/AhzdiBtuAaQShXvhGac2tmElW+p41DjVJc3xc3QfqjC/ENSJoJYbvpPxePQCJC4Wc4dYZpJgn3MwOLlIduPbwIcRCpl946tPTECrQLcUDgmlmV9iaR0ErKMsca3K2zckWXfZyOSzVnMSLluG8bH5yA+M71JUVN7ZeNmIkX0Xo45g6FKwdxANRJV8tYtE1nvHdWdKXsPLYM653+BymtrZPy4F82eG53Jo6Fw91bOG5VMT6PZE2ME3GLGx+/tfbYvXmp6cvg2DHW0jOtarmR/j2R8HIJmRq6gmVtixpyiA9+aqGLkPQoOSU6t8iEGTvweMyRmfSvZmhRLq38JXECW1dXGbYo6sb5JZtjI+nOjcQwMqOnw6mtcm3hW/N9vzp6lV1EnvmjcvYcsUtfGbxN5np8vWx+fIWUNucV54+Tk1F6EZlo9J/vdwnDUyrHTmFz3Dal093RoWbw3bM36D7BV8fyok9LWqNPEC/E9lr2f1iQ5NY9sy/V0VZrctZ5Jr1oSdUBHWtuTWPAGGsT2W2vfFA02W3xy76mrE7qH3d7ktYewjMnWdyBwMWkfc6DN61+p1oXOiWawrgD7Fv8XSNlb/mhj8uesKnOcU10+zUzaX56YtS+FGty3s9+zkbKIHoVl7re+mCn0XyQny6iLiHLccibHvZCNiTzyqhjtw8toF9rVfher0ZyPBkA9BSwf+YM6i31qx56OZhTbFQ2c+QoNzHWHsCnjzWxoZrY/kJwoR0Q+FT53sDEXZsfnTiwfoPvb79D9VdSju+5n8njTHziTJAv8N3sextqzEDPHb2vtsSrWjtl5elBdDWNPVG++cP63yr7fzkqorB7117Hk7V8yvn1DdUKBUTbuFWBaa5PsnRT1TeNQGaIqQCDy1D5jpmZ33qvNmx5MYlUzax+Nyn3fA2eQEuU0UR3MHhMSjCz7XrsC2bN0Lbo/+oN9LmF9uW11WpI/w7XAHNa+CmoLHI/a+05AdXkXkQKrH8D0305OjU6lX4BT5yLUsHsDqszYHysPmQkNS6JG4KdskY3lb/9ItaIjKjLmKJw/rxM/3dS8l65GxpsozMeXVsz6sEQmjMxS6Fve2r+lUAog4+tANOKtgmYT6VPj7/cyIWYwmv4+vhSvpU4Z0e5KqDI1OlQeSXXGqeLmeADJCH9jPt/2ubP1xYwfkc+/wzfIk8KTomF3c1Th8B/UYW8Ga+9tz9iEDAbZszQYTeUcHZWLxt8NUGeLf2HlIJzahXcLZevNYdn7ZSSabeIb61s7O2ZuNOq3gkYYFstGrkHabP+OGuUJnCbM1ek2Tw9iG1prj2vYacAVeZt9L5YTeA8YlvVvZs/Tt8DFNf7uFnZMBdis7HnorIQq7n4gZTwehypvlyqMiwqPt4rrV8bLkXZszGr5Nrphju+lfwKrlX3PnZFQ5/6Yre1hNKp3RmAXUga9f5Oc/JdClVOfkSluC+ccCJxnx95Z9j02KqGODotkv+dHgy4ewfY2qCKpB8nAON7+/9cpnCvK1b1I2WGvoCAnkwXHkLKJPIDLdZPKuyZqOFWQnE5OJckMI0hOyr+gOgNV3Cu9hGXezY6bDTWiHG5raYVCNnMnJyenySWSo/Eh9rvKaGRts2OORjWOvx/d066FOnXF/c144KSJ/O2hpAylZ9foj2VDW8jp3YVMRhhu35sLfa0GITMFVUuy99V/TR75muSA3iKDrFPN+V/YZKtvgL3QSiJx3v+KOTWgTrDR8egIku5nIKr3jHueObNzRxlhAOrMUiEz3Du1mUdNqL4z2hjWImVbqaBG2bgP3cbksZfJAl5Qx9Yni+sY1QGBx1v/lWXfcyMT8JNa61prax2pZO5T9qwtFtsjj+1zTlvLxqEydXSs6EXKzBcdY+L3CXK80xTzNjoQxeerZrlOUpbKe+19lTuxrGHvpF+geroXyCoyOE0WX04kBVrsjuoc5kCdlD8y2jsbH2WDM7O2voVzRof0h6ldztWdyiedTyfZnL5IyorcD9gDDWyuoNWB4ro3o62H75OCY3Lnyr+hNvUYILBLK3/7AVQHsdbUuLeuQEx+VbP90GQeY2iZPTEPmnmSzOfBqU08iXrRWrq6dVDddrQTFW2rPQrjPgDWy/rXIAXO5PQpljHeyamzUOkX4NQ5yF5019VY+J6kWkkxLykdbQtDrQma0elokB2/k/327ASTzpei4jZmifpN1hZfajHT1LV5u32/2Pqur/E34vEbkYzDLTZgaBr8Z0nZRn5ElSDO15ZzFcscX15or5fFcDRa2vN7YBtry5VNh6Gl815DFezzT43r7uqERj/diDoN3Ysq/nKDfYyC2sX490bWF9e13azvO1T5uwuwKnAuKSvL4WXfa2cjWil7iirtisrYqOwbRipH9HjhuB1RR8oKqkz8uT2bfyQpBa8gcyhzquaJffYhZWvbozBmSCYPLG1tLco7kjZWv8ja+qCb5Zhd9E60tNHO9n0savA6EY8SnRz+RUXFVaRAizfiO6bIZ/t+l407vcb54v9Df1RJdRcatf0smtHCS0JNGb+2ND49SqbYs76eJKPi7agRvydqYByPBl+MKPLTfi+JKqTOwRW1teZ9FpvXd8jKZQGLFtcy1Ln/bTST2weowT2WSMtltvisLEvKfLkVBQVW9jnInqUKVpLVqU28y9euRVHD/JqosnwP4NmsPxri10cdlD8ki15HHfseRWW7o7P2+ez5+h41Om6MR/E6OTm1I6FBrXFvOW2hbzM0+9CbqGH3MFIQZzPq9HAu6gzxd5JMfiOZ03i2Bs6LOZ1n76DV0f3QDDWubX5S8GCLLLJdnezdUAFeKrRPLCNifN9vace3uWoJSR+xLKlE3teoEfjUomziNFEebmhyWNxvfg9ciemAsudgU1TP+U4ui6FlPWPJtfupzmI0I0k/220dXNuBR00kXXastPBXVJeTBwYOIBnSzycF3zbbWhmfq0OpTiywJZrB7V2sNJ5TTR7ErGxbZ+1CtfNWMYOoZMdHvdt61lbLCTA6w96TH2/fNzX+3mfX4vL21OH1qGw9XCVrj++toaSA9cNJmfV2RR33nrH/i6U6+tq7GqHVKz5E7RIja/SfiTpt/R2TwdDMlBVrP52sshNadeMG638dd/ZqLz7NgsphXwPz1uhfJHv/rG1tw1Ad+HfAEYXxe9nY/VF70lnUkCtR/cZD2Tux2yfAKb5XCu+QvKrZT6wtr2oWq12smR0zBN1b5T4QF6MySQx+f4o6FTKcavOo1vvf+qKNYgipstlYUsB0UV/agxTIfnzhXD2BxdGEOXuh1eq6/TPi1Pmo9AtwamwiKYcOt8XwIXSTfDQpavdPhWN+jiqPXseciGxBzcsR9kJL4laYSMSvU02+FFPMz4uWGVzaBMaxJOE9OrHMQDLQL2dtUVE73ASYCoUsIYW/ux+FDFVZ33T2//GiCZceYVV/HvdAFU/HZG0DUQXwEmgE6Y6k1MBNaKmUCmo8jGnRY0SvoI4uI8q+t85CtMy015+UBedmVDm7Vja/Vc5jpOipw+13r6zvEVJGg+dIgv6/qZMByanNfIv/81GobyaVIt66yAv7PQspAnG/rL0JWAGNavs241MFLV+0adn32+iU8SEan94hZeSN8kMs7fREK8cvgTq3/ohFY1u72LlfK/CngmZAWqPsOegsRMEhyL5PizoYfYPKDi+TyW01+LSMvbu+I2WjaKL+5rs/MD2FaF+nyeJbzJB3vP1uprq0xsKo8X4cVoIaVb7/GVXe1iz9befxzKKt8yAa0g+q0bcJWrY9ll8fhTpPHmzH3AXMan21jFTHo7L5XWSBF6gydttsPV2NLFjKqVV+5WvXtFRnaInGiheAM2xMUWY4w8bdRFIU9kFl95hZ7wY0K29U2p6JBys5OTlNJSIZji61331RfUtc197Lvv+5cOxupBJr/wSWyfp6kjmH2Vo2nurMoy1KdBXO/0vU6aVbBg+SHFI2t9+5TmCqVy0xuWNFvNLFpPItys//R3IIexvYsjAulylipskLgUEZDxZGHSwqqE71StR5LO5fXwCWLfueOwvRMohldXS/GgPEr6E6Q9EEQzAaNPu6yWcbFc4b5buo67kQeCxrOx61U7g8V5sfh9o8PQsMLoyZzt4Ft6GBgWuRnCLis3ZB9vwUHSwi/0agDrTjSY7oxYQF07TXvTm14HXkw4nGqwcKz1rUCe2B6o7Go0FPUQb5GkvO4dQu/Ig2oBMK7cPRzPxxXXwKy95m/YcbXyqofu8u1H4bkwk8jAcEtieflkLtCU/a+yiXA+Mzc6zN/WMkO+xeqMPrt2igzQ7Arags+DQmZ2TnKtqwNkNlj7vo5gkHiu+JOmMmVtUsZnj9R41j96I6UVEFrXByOh40Myl8yveUo9F95wFYVbPC2GVQp9QK8NN6PEeDoCvAU/nfKT4vTk6dlUq/AKfGJXRz9hVakvBpNMVsHlU1lKSk2Ctrn9MEw/HoxnruwnnXAR63466jRppmpzbzaD7gDhMavkONtFGAfygbF4WR6ETxZNZXdNB8gkIWI1purmsKRqiDoCsOJ863udHyqW+hmXEORRWHMSV2pE9NEGkGZiY5hR1W9j10VmpNqEfLokVnu4/RaKjiBqk5GxujQGIJtegouxrq/Pe1rXdLAmvj5e6mlHdnkmUHzXgRowcPaOXY/W3Mu6Qo7CjsDyJl5dmeVhyYnVrMa55NKmYdiA4RubzwtvVtXzwuG3MZKRtI8Z0zC6rMOBw1YG5c6G+1LFV3JgoR8TX6R6NRvdHB5bxsTauVwv7CjE85/+dCS+lEeaNuGnynyeLjwzbvO+bzWxhzio251373RMsdf2XvtsXrHevU6tzPSjLIjszaf4IqwT8ly0xgfYuQMrUdXOOc8fmYE/iTyRKXo5l0ojL+M2D9su+/MxMps/i/0ACNKEdXgD/W4clCJKf+3bI1rQ9aoujH7BzfAUeVfZ9OTk5dm1BdQMwKPgo13P5ga9qaqDPfNmgG5QrVGUKHkAKdzgL6WXvfbMxAUsmou6jhHFFPdqCQDbi7EVo2KzpQ5uXQpnbVEpfl2od/n6MOlB+jQWgrW3u+j406g6XRDJdfo85JuRFyJeN5dASMMsLFtZ4np5q8KGZxi8/Tgbb+PUOyIfS1vlo6hZit5fdUO8E2o1mMnqH6uXwCWKns+29UKvyfR2fHI7K2rUgO4vH//3vg3MJ59kH3pE+RKjIUda1zovq6tyg4Kzt1HK9RJ5dYQnxna+tBtbP/LvbO+hyVR+7HHcImd94HYHqayAeb70uMB8tYeyzDGgPTvwL2zY6L76o+qEPZw6g+4Xt7xz1Dy0oprqubcv4tRbIhDcznlaRf6E2y1e5jbTORbLQ5PU0hsyjVgQR5dYYWmf66E8VnJfu9KqpT+y2651mjMH4hWq9q9pLxYH/7na95fdAM2eugAbwzlX3/nZHQPWt0oszpOGB4YdyBqJ70CVJ56bjOxedgHXsH3WXPme+PnLoUlX4BTo1LpKwRz5pQPpe1N5OiP7cgZZQalh27IWlj9y/UKB9Le8YN3RV4drYp4c9GpLS+D6LZEH9uAmGc411sbB758SbVm7DocNTLeF2VnarG33Xhvn34dxTqwJcLK8+gkbo/Q8u2VtBIgwXtmM1MKPkUWKDse+hMVEOoj85a65KMGANsnYrPz2LWXjP1Nkkpf0VxHOqMOUHod5pi/i2AOkSOAzbLeNpMKkfzM+o4SKIOETH68PwCH124n3R+tChjbDz6ztaoRa0tygqbkBQasS0qMuLma95sLdwo43Hddw4e5TYxPuUGkMFoSchVqFHGBDVCvYmW+2zhMJTxaRgpunp/49v+qMHL301Tj5cxW8S5tMxAEJ+lGUmORQtZ23BSqakri8c6TfL8/ypr64MaZceh+5yZsr6eqFFjDGqkGp3zqnDuTUiBAzGz21fUcPpzahOvtkKz4q2NOlxeTlKkTwNcb++qpymUxcvOcSDqvPcXshJ41rc0uv/dHXN0dnJycprahGafqqCVDva090Yx4DKOGYPpD6x9Y5PxxtgaOJjk/LI5qezW47VkRKeJ8ibuRY+z37WqlkTdaK2qJWPwqiVTizdVOqB8Tu1zLtSY+zM0+Pw6zHhYlA2sLTqG3U6NIHRgZVS/tBWeMXlS+FRVehXVdW9H0hssigacPWEy8t41zhH3QwvauO9QR5di6ekZ0EDc1YAVy773zkAkPcDapCDzkajzyD9QG8TpaLbRn5N0OttmPJwfdSYaizolDbb2ZlJQ7mKkLJiDOvo+naqeo+2NF2+QJWhAAwJWted0WjTj/OJlXGtXIDQhRwXNwDbE2qKe+hfWd6itV3dnz9YFmB2jNV6iQYgj7NlqkRHOqV14OBvq7Po+Vha30B/Xt5+S7OezZv3bAyehDmc7lH0/nZFsHYrlU2PwRPy+P6lKRh+0akaF6qpmeSKOuI+axtrqVppxmihfasnfu5kc8A97Ji5GKwGNAX5ZGDtvtu5dkLVP4AmwN1kAu5NTV6PSL8CpcckEvc+zzdPsdcbFF+QvC8fOZYtszM4X6XlqpER1miTe9EbLaVTQDB25smM0KYPRa6SSDlEY2ZC04e5V6IsOFp/gm+WpzcMeaMnOg0xQXwpVpEcBcVZSJr6VrG164/tz1Clf7DTReZ8DLYUWsxe8CyxO2iAvQMogdmadc+ROLHFdixmN8lLUq5d9v41I1HHaphVHLdRoER3KHyQr1QFsbe2vUyddPBrV9o2N+4LkXOZKiynj5XKoQ9Dv0VIAcc26qchPUunJ02rNvckMr5McmQfW+h/JP7s7kZQNrc4HGtEZIz0rqIPXlRQMFiRl+43UKMNO2iDvbs9RhVRyejyFCHunduX1jjbXD1GjNB2qwGgmBclsmPWtj8rzZ1MwYDm1ef77oQqlClnpM9T497LN7xaFNW8EKTPsmVl7c+Hczajsfi2aTftnFBwynNrMpzmMHz+g8vIbJIV5lM8WQwNkfkADafJo67jGzUzaZx0HDCj73pycnJxI2Va+JQUjVZV5BH5Nyk6VB5ZtRSrj+TFayjNm6qugpQ69gsLk8WVANo/z41VLGoIK7/fBaPWLGQtjol5nOTTY4nNg9xrnivLBcFLAxS7Z8a5TaB+e7QO8mj1PB2Z9PdHyaj+iWUdjFpZaxuH9Ubn9cQpBGE4T5UFfkn1AaJkR8VqS89B2qBF++cI5ot7uZbLAPtSZ8t+oY8XPC8cMJ+lhDyp7HpwCGT8utnfbZqRqAJvjOrn2mudYGvJY+x3fN1vas/IeSed2HzAqO7Y3aluaHpXz+hXOXQxQ83dV+/OvJ9X22arse9m4o0mBmmfVOE8us3uQetvnfz3S/uYhtGLPMDRw6RlUD35wNn5Eto4dWeQV8AfrO6/IF6c286RHHdmsD7qXvQ9zVrb2HVDn1y+xZB3ZebZBnZsrwL5kejlUdn8dtfWtW/Z9OzlNDSr9Apwam1DnogoaqTtboS8qKhZHHWHGAktYWxQ2+6EG+a1Rp7FVOuraOzvVe9lZ34I23/8kGe/zdL5zZ8LIKTm/7Pt91hfLG+aKrROoYRh26hCeF4X7qKjdKGsbWvZ1dlYCdjJhMDoR74NGh86SjWk2wfErG1OzzGC2/p1g53usHh+dJsxLT+BXaGavNevNVTa3xTkfgUZHVYBDC30xvfkZUZgnUzSikVhvoEr5CvBo2fPRmQktr3UeSbH+H9SpMnfUXz/y3T5HZ31zZDyKTuSL2fMZHfhOKPs+G5VQ2ew11PG7tZK4c6HOQBXUGHW1PSMvWNuH+fseWBgtyfUtsGvGuyaqFRo90AjRu9CMvZeQRY86TRWeD0IzWX8H7EfKGDshowgaCR8VV3nplQHUcWx2miQebGVzeyfVMveJqMPkHbQ0uq9n77w343sv6xtJFihjz1nfqXX9XYmK6172ru8J7EyS9f5o7UWHyR3RIKbngBXq/I0t7N32VpF3Tk5OTmUQ6uhVQXVvRxf64jo4G+qcVwHWKYxZBA3yfAPNmPwymkFs1WyMG6kmjzd72py/gFctKZsXRZ3asTav/0Edv67H9NKZDN0DzW70rc37gsVzkYLI9jKePFmU+5wmm2f5nvUL1EFsczSToRTG/dGei5/WOE9cB2cCbrVxx+OB6W3lwyKofmFj+507k0SHvgVJFYCeAy639nytayI5QJxJcmaZDjiCpBO6Dw0yPIVUpvVPcf10Ku3/IK6LS5J0C99kfLsXt0u0xzzHALOVbV7/R7Vj3rJoMEAMutggP5bqTHo72zhPIFAOL1dHbbQvk1UxMdki6rt/DnyNljKuYOWQrc+rAk3evM9uslgFtc31z/pWQ533orwW5b6eJl+MQ4MF5rP23tk541o3uux77GxUkNnmQTOInojq3+ZGdXCxKkmc82nQoNrogJkn65iFFJg2Ds2sfBQqy39q7b9DHZjdFuvU5aj0C3BqfCIpkva23y0iAIBzbMwtVG/wXPCY8vmfOXuhRWVELInyQivHxTH/w6LdSFknFsiEkahY7FU43iNyOoa/EwyOhfZDjT83F/ucJmue57SNVAWNeGqR1SsbOysa+V6xtS3yqMp5JbaRsvgtWfZ9NjKZMB3n9bK4sSrM61FoWcieNfp6oM4T41GjyDxZ35qkTBT7kJUasv5zUOelVVCHpbOL53eaJF5uS8rSunXWviUp6vAJkqI2Pi8XW99dxWfQ/jfuQSOyK3jJyNbmf1904/o3MqVPjXHHkrJVjs7am9DSNhXggShjWN9B9hw9SkFZgZZGyTfSvYEZyp6P7kKoQ2UF+DuwhbXlMvfiaJaJf9h7zNe39p3/Hjb3FWCrrH1uVMn0I5oRJC91NwT4pR1zO6osHIjKIf+gUBrCaaI8KDrtzW5zWjTsXmVz/iJZxtbs+8xo9tHxqMwxqMaYPmgW0gqwSdn37uTk5BRCAC2rVQEutN8tdG8k54i/Unu/NT0aFDCycG7X/0w+X3qQHFrexquWlE6oPjTKbWPR/dCT9u7/FC3FWjQy3oFmxjmWZHBvLozrR8pIdRquq2sPXp1r8/kIrejUTE7bHHV+eAULwKBGWTs0S9gX9lwuXfY9NiJRHcQvaIabr40Peca8fVHjeZSXox6hQlbKLvLCPldCdUWf2fdcHt8fDY7J17of0SzxfabW/TpN1v/ImmgA6DPoXnb5sq+pMxK6X41OQrVsqlG2+03W1gSchermHiRlG82d9ppRvcKP6L63puzhNNX52wO13UUH5GUK/bOijmKnozqIH1p71zm1ed7XMzlvvaxtQdTeFEvnfmCfl5P2RENJtqm8HGt0qD0fleVHlH2PnYUK8kQz6rBXKdAjaDDNqBrHj0AzkddK1rEmyZ77sj1L/7Xve5Z9705OU5NKvwCnxifUyzka6aNDRY/C54xoKueqLGFOUzz3Md384YX5Xs748QwFpWt27FA02rAC3JC1x830hdZ3Y41j3eBbHs9XRktOxmxWazlPpmg+xTa98f/9hKyvqd68AmvZmvYuln65ODYT7FfxjVeb+RFLDH5K5vRlfSugjpCfxs1XjTkfQipDeF6h71x0E/w9anDfAM2sGI3vF9s4L0c4ZTzsTTKEtHjfowbBaHg6wNriszIokxVuBjYC1kYVgRXgMBs3Tdn32YhEUnrPQnI8+SWp3HpuWJrNnoeXas0nqoSPCo3ds/ZZSA6Yp5OCB/ZBFVH7lj0P3ZVQpe8tqOPmp2gGlxmsbys0u1sF2Kfsa+2qhGYIraCOd9Nl7XugwTLPYFnIs75FSFljn83Wxx9xZdOkzH2+vq2LOh6/ispptwE7Zf3rW/s3mNNDDXliHTTT67sUnPNI+6358ayiTk5ODURUl2idzdqqspajpXSfL8oEmRzpZdSmDm+8akmDEGrQfYcUNLhQ1hcDz+8mc1Cyvu3QDEcvAisV+mbEsk2ZDP4QsFjZ99pZKVuP1kH3tM+S7VmpEUCb8eES4+ElVGfa6UHKmtgfuAg4oux7bTQCVkSDANcutC+EZsMbg2Z6Xxfd88TMRYvauEGkjGznkgUCFs4XnTJvpJCpDZgB3T/tgQY/jSx7Xpxa/Z+Zuexr6KyEBvpVgK+ztrj+xXVuTlJGttWycQuRdKXPo9VMov5nbZLe7lWyzHxOpfB5JOqcFG15+6C6hD1MpnCHvakz78uh+56eaJKBuP95G5Wll0Tl8veBbewYQW1Tn6B61VWtfULJ+LLvqzMT6mz3LZp04wTgOJLz3Q9YJnEKAWjUT9YxGM0KHKudDEdLI/fqyPtyciqDSr8Ap85BaARUBTjdfuclWKOyad9MSKmb1aq7U1uFANSxaG+b0yonPbS03YeooXClOsf3QssajrOXY3SGicLIIOACYNqy56S7E5ri/EJSSvQKWjJ30bKvrbMQrZeO7E9yNlrJ2lpEu1l73ERPi5aXrKDOYtPl/U6Tzaf+aGRgzL42a9Y3LXCyCes3kZTjxSjqFVHFxifAyln7EDRzX8yEWIzwmbfs++/shG5yZ0HLPf0bzV40wQmW5KS3qc37+yTDYuzbmFS2dWzGo9upLmFd17nWaYJR6k1MKVGjfwMK0bvZcfdl834RBYW78SiWaL0XVTbF8XuUfe/dmdCIxBgl+q09Y+9m/DkHl8GnNg/+z+b6mKxtCMlR/HSyDJXWvxjquPw+mgXk18CQsu+lsxFq6Ptt9v/+hq2B8b1/BJoxbwDJOP87Mgfn7H3V33g1DrgOGB7HlH2fTk5OTq0RqUTrNfY7d26OhuDNSMar4WVfc3chvGpJ6WQy2duovmDrQvueqON+lCOOp9phbAbgUlQfcaXJCgIcaLw9tez762xEHafhrD+WSjvffk/UmRjN5BYzr+xibasCv0edzUa39VzdkUjVECbo3LKd9OhaAAAgAElEQVS+9dCKFV+SDO1XY46qGT93yWTxWQvniDaiudEMieNRp+TY7nxx6vJUkM2i48qh9ruWTfV4G/MQ0DfrXxgNoo3P439s/YvvsbtwXXdDENVBm1FfF7+fhNppI79r2qScJnvuR6F2hh/RrMjxXTUjmthmPBrwGXU+A1H7U7QXeRblKZv/ldDMvdui+5xXgWFZ/1Jo0EAFOMnaira+IWg53FrJOmIZ9zuMd66zc+oW1AOHo204DgjA0SIyRwhhvIg0WV+wz1+j0Vg3hRC+LuMiGxUisrSIrFqjXbJ5rEIIYTzwB1TIWAx15It9L6LKo4HAtiJS9SyLSHMI4UfU8N4DjUA4yo79wfr/F0I4IITwRb1rcHQYnkKVGTOh6dC3DSEsH0J4vtzLanyISDNMeF4QkSVEZMGsX4DpUMXrO6hyiRDCuFrnCyEE+/wCVag/j0YDb5T3OyYPIYQxaJmZR1EF6xZZ3xeoA9ezaBThptZeKZzmedTQPhTYP65fIYTPQghn2nlPQR0s7kQVuiuFEF6dirfWJRCfpxrtPURE7P//BzTyaRjqoDI+jovPVQjhFrRU18xoBlnQDRghhNtQg+IV6MbrQTQCbqMQwgfZucb789YStqaBPkN/QDPsbSkis1p/8X3+qrUvKiJX2DGrowrAUSGE/UIIP9iYKEvcDfwUlSFWJ0X8zhdCuHxq3Ztj4gghvAvsjjqX/wuVwcejJadXDCEc6jL4VMcB9nmkiMwD+v4BrkWV6duhyilAn8kQwnPAEmhW3yVCCPvYMY5Jw+FowMsrwKYhhLnQed0OLYlyPGpM/BaVE15BjZAbg8pwIYRg77Mx6B7rCTQqe/M4piNvyOFwOCYDV6AGku1FZDlb16r2xCGEP6CywQhgh9KutPthS/s8WUR6hhDGRfk6k7PPROWFjdFgG6DmntdRB9mcSrHP5Ku7gJ1DCDfauPXRgMxL0AxHt6GOXzui2RDjsZ+ghsOngJ3Q/dKraFD0cmgAdc2/66hG1HVn+rWQ99lnM1quGOC52N2G0z+DBqBNB1wqIk+hwWmboQGeX9jfHF/3DN0Q2Rp0NpqdfxQa1I+I9LS+bVE7w/+zd99hklTVG8e/ZwMsSbJLUpC4Aw5BJKokAYmrgGRkQDISFJGMJIkiSlREhFX8Sc4ZJCgIggIyyKwgkpEoEhdYdt/fH+fWbm0zm2Bmemfm/TzPPD1dVV1dNT3VVXXuued+iuysuaOktnIvA+XzkXQemWS0MPDt+vtU32WSHifPVwHsRsYt/LlYnxYRc0XEtWSyeGW38nhCRMzV0KZaOYVMLl+dbB8CxrX/bQscQBZ5eI8s5HE9eT+8oaR/lu9cn5uaSNJD5Hloe/Kc9AfymmJ5SUdK+qD2/dhpm5RNvYiYgeyUuTSZGHZouTeaTtJLZEwoyOu9LQFKzPQSsiP0v5iya49+bxJ5DEuQ7a4/IUfBOFjS8xExPYCk+8h2Osh2vIUkja2vq1y//4K8hts6Ilavrf/vwNqSNpb0lmN21m/0dLagf3rvD7A1pYdoJ/Oqijqdlkvvzz9kY9BY4FZgaJnWmF0+OzDjROatDbxJNkqtUpveyvgeHFtTeuYAQ2rLXEgmIFUl7bfvZPvcw3ca+CEvMpfDvRCn9O81rnpKeb4JcAfZS/SPwKq1eTMCL5ZjYNUybbL/98AMZCP9e2RC2eJduQ/95af6nGqPg8jG93fIapPL1padnhyi4wOy99PijZ9X+ew3I3sD13tbf+TY8fE0xZ9R43lnfTKZYSMmrEYQZNLkTWRyxM6drKuq+LFFOebGACvXXt849M1HqoX4Z7KfV3UsrUR2mvhv42fB+Gu2m4GDyUbCseV6YINOPq9P0VB2nhy6ay0ahgH1z7TxQwZHZva5qSl/+4PL8XRObdogsnF3LHA+paepr7O77G/+5XLevx+YtZP5p9a+49Yon8f+5Rx0M7Bg4+dRzknVZ7lP4/nJP/7xj3+m1R8ykWgs8JdO5lXXdl8Avt/sbe1vP3jUku782w6Y2HVVmVf97w+hxEXJpIenyt/7asrwj2QC/1hyNJJ5a+sZTCZPvEQmSLxHNr4v1Oz97y0/Df/zc5JJqmvSyZCBZDLrWOC8qXyP6YGTyQqLb5ANu1s0e9+n9R/GxxFWpqFSeJn+UrnefpGsGv7VTj7T6jhbrXx2bwJLNqyn+q6blWwLGVuuuR3v8U+f/mF8G+C/KUPclulVRalfluf1e9LqmNqlLPM4ME8ny81EtlMMbXhPH1fT4A8Tts9O9PrFP5/47zw34xP3l6r9vatchT3KcfUBmQC7fJk+mIbqs/6Z4r95dY4fXJv2l/J3fgvYaCKvq0aROXsi82ckEzHHksmvPmb8069/XHnPpsaF5I3cN6oqcrUevlW1nfebt3nTrKfJqg5fZHxVh3G9aiNiT3JYh+0b5xX3kkM2zEMmtVCWayd75kCOIb9Lmf5eWe9uZPLELWTj1bGSftO4cZ28nzWBpIclPSj3QpwiKiJiyYi4nawmtRp5g3w9eVFeVbx5l7xRhvHHyQT/97XevzNFxAIRMUDSKPL4ebCs750e2LU+o1RrGyBpgt7W5XxxG1nJa3lg2+rvX84hN5FDdX6J7Pk7wedV1vNvMtloVmDHiPi0svfiBNc1Pp6mTPX3jYgNI6KdrFZwMdnA8WBEHBARM5e//Vtkz7QhwJcjYt7y2uozrP7m1U1bAIdUPe+r/4PqNeU4HtjwWqtp7NlW+xveT1aYHAJsWa86Sh5H75AdAI4lOwkcIGlxSdeX9Q4px80sZMWqnRre51+SbpP01+7YL/vE3pX0tqTHmr0h/dApZHBwp4hYE8ad235HJvtvCmxQvvd8nf0J1CoILE+e9y+T9EZtfmtEnEG5viMb6P9ZPo/ryKDf6ozvZV2d76pqsiPIxL7T6ucnM7NpmaQ/kw1QK0REG3y0Ir2kByT9pMxz7LfneNSSblDO22OVlToWj4gTIuLgiNgJ8vxeu5d8X9J75d7oSDLhYWdJwyX9pyxzRXnclLynra43PpR0J3nd8VUy4WwbSU/1wG72CRo/KsYhZKXwq8jrsT9FxC8j4ku1xe8kq70vX93LdjKyzMDyOF/tPd6XtD/ZCXo9SctIurgbd6uvqGI290r6X0SsFRE7lHgAZAxuNfI7aj5gl4hYsHyPTRDvkfRH4NdkZ7ID6m9SjtMB5Zr9fEr8z/Ee64siYpOI+H1EXAAsSSbfLcT4iv0w/hjZOSKWL8dINfJJFS+4iUycXYTsWNbYdjFK0ihlNbFx340+rqZNtfbZgdX1S7O3qY96i6wUO5ocJhcyobWqbvg1MkZ3EbAKWawASaMlvdrD29rrRcSuwFsRsYSk0RExpMz6fnmckfwsOrv/PJFsp9glIr5SlqlX33uXzD95lmx38kiB1q85gGNTrDRorFee/r5Mc5nfyfs72TA0hBzidslqRjnBzUU2Rn09IhYq08cdm5LeJpP3ngQ2jYhxw0ySgagryPLzP4uIK0sQ64/kzfYjwPWSrpZ0eOO6zXqziFiO/P9fnRwWaANJX5R0QpVsUruJvZnslbtxRGxYXj+4PI4bzoNMsD2M7CEMOUzKVpJWkfR8T+xXX1C/OY2IeSJiy4jYpJov6RlyiMH/kH/zdWsvf4LsjfMGORzoamWdg2rBjVnJnsD/IKvxfK+s1zfDU6mUPZ8hIo4gh7FdgjyeziKTxz8HnAD8MCIWKAmWN5LH0wbA+tUxFBEDI2K6suoh5edZsoLfdo3vXUvodLCpE+XvGbUGkNbI4W+HwLj/92vJxpDVgOHV95qk/5KfIWTHizklnVzWM0NZ73tl/r7kMTTU1wi9hxONmqd8D7aVp4fVjsn7yYSxmRkfOLRPoPZ//oXy+FeAiPh0RBxMfgfuSX7PbSJp3VrD/GPkPdj7wFYRsXx5bb1jwQuSnu2ZvTEz61JblsfjI4eG+rCWgDROlfTUw9vWb5Xr6+q+5+QyrUp2UUQMKuegNSTt16TN7DVqyQmKiOki4lgyIewAsoPSORHx687O8eRwnosAF0j6dWTnwmp40PvIjhjzkkMULlJ/X0nPSfqrstO0TYWIWCIibgR+RLY7nQ+cRF6X7QxcGBGLlcWfIju7DyMrx1eJX1G/F46I2YFfRMRS5T2qRLLnJd3Tc3vXezV2KoqIFcmqeKcB1efxhKSHySSi+8k2oK/BR4Y+rhrUjyVHAdg+ItZpeMvqWvsCSWtLerTr98qseSLiMxFxKVlMYBMyMWhdxh9P36uSkiU9BxxVpp9SplVtqtW122fJTrejyaEll6u/X+O1nOOovYM/p243GniIbF//WkTMJ6lKHtuDHFXoWjJ570BJP2ralvYNq5IVQI+DvO8p1953kfkiAXyrLDtBzFrSP8gK5ZCFiKh3Dij+QVZH3K36HM36KzfQ2VSR9Hfy5u6WEvjwmPCTIekDsnrXdeSF/Da1ee+RFw83kb06xwUrGlbzKJmMNwTYIyJmK8u9DexHJvG9TV6QHEAms9wFfEvS09VKHLi1PmZH8qb4p5I2lHQjQJU81PD99CB5rM0BnBxZqW00TNAzeEfgV2QyYFW5QPVjyKZMufgeFBE/Ah4gL+Avi4iv1ha7t0xfENguImYtrxXwJ7Ly2zAy4DFQ0oe14MZ+5JC5J5PDtz7RE/vVF0TnVdyWBnYHXgE2L8fTfpJWBY4gS9DvzvjKldeQQ7LPRSZNDC/Tx0j6oByDOwJXAueWt3oPm2Ll5ndMaahaJSKuIHusXwB8vVpOWXXtQjLZdUvyRrpyCpk8ORTYPSI+XV4zqqx3yYj4PXA0Odz4+b5GMJti15GNWmuSla4rvwSWlvQjB2q7VEd5rKpMXUU2GM4DHCLpc5KuqhauJT7/CbgEWJZsBHE1RDPrEyS9QA75OQ+l2kFnif1O9m8Kj1rSRRqupb4FHEhWNTqWbDh8GtgBODoipi+JX1WCXlVN7C9lXfXz/+LAbGQi4EZkR+khPl66xLZkAsvNwFckfVvSQeS12KnA/OR3F+Tf/3Iynr17RFQj0qh2L7wEGTfaCGit5vfkDvUFtbjnnhExo6T7yNjCzMC3I2KW2t/1L+T32GCyA8zS5bXjqu+VeMWTjG+IPygiZqi9nz8j6+u+TVZvbSeHiVyE/O7bjaz0NSPwg1oM9miyA/tXSvtDYzvdUDIJ6QbyuNyzp3bErLcq57bTyXah/YDfRsS+EXETcCZZlONcSddK+nETN7XXaGw3KtOqPKK9gP8Bm0REVYijKuKwf3ncJiJWrDotNazqTPI6fu2IqDo71YsYjZErIpoBTt6zj2d9Sdspqyr5ZmwKlBva35KJEVtEGWKreJysMjWKvCleET5Sfe8DcijQB8nqOrvU5j2trKbzBfKmYWdgQ0mrSfp7PYHJn5dNiyLisxOZHvXHhnmzkUkqrzE+WASMO14gE/WqaS+RF4h3k5XFLo+IQyLiyxGxQURcTCYZvU1WGXv5k+5XfxY5FMr9wCHkEAA/I5MbXquWUVYGuwR4GNiQ7KlYzXuJ7KH9IJmodH5ErBcRG0XEDWTg9ifkEIWflvSrHtitXq06p9SCttXwM0EOyTAUOKZKfojxFfROIY+dAWRQd/Uy/XQyOe8LwEURsX9EfDEiNiWDTWuSlV+PBmaQdFEP7GafURqe5o6IEeT31tfJ6hDXAC+X5NjqOuFWMpHl88BmETFHWcdL5I01wPHAiBKsXz8iTiU/py3JDgY/kIeDMpti5Zq6qr53ZkTMXaa/IOmR5m1Zn/UYOcTGvmRF8pXI+6f5JJ0AWdG8VGpZgLz+qCr9XkkGGP+L4x9m1rccCJwo6fhmb4iNV64RPGpJF4gc1vNPEbEBWSHvHuCrkg6XdBiZKPYQOQzavuVlVRXK6m8+rqperYrHF4HnycSxwcACNFQIsYmLiVRrj4hFyKGjHwQ21YTV1kQmW34IrBsRbSVp5Sqy88vswFkRcVhErBMRi0VWWb6OTIj5P7LDmX1MEXElcAal8yVZqf85suPluOGMy3fYdWSc4MvkSEHTVw3xDQlHPyNHHFqTTGYy6/Mih/Hen7w/3ULSrZDDPko6h/Htdt8C1inzRCYXAZwQEetRqu5FjrL1WzLpbw+ySIeT98ymgKSHyGPmefJc9FPyuPsLsK2y8qVNoXrHmVrS/tjI6uFvk9d5ML6K6HsRMVg5AsbhDfMmuP+R9ApwTHl6auk44E7PZp0I5/KYdb3SA21s+T3KDe7cwA+B75CNTvtIeqcsMx/Zc7SNvJHeT2XYkyrhrlSlOo9swH8E2FLSyHLi7DQQOKl5Zs0WOfTF78lqAVuV/+cBZFBvYGf/u6ViypiSWPQQWZntq5Juj4i5gOXJ4OyGwNxkD5uLJF1bXt9CVtdbpZNNegDYS9K9Xb2v/Un5rrqA/AwuAI6S1GllvNIzdw9yGJXbgV2qBKLyv7Ammbg8mPy/qBI5LwT2lvRa4zpt0iJibbLH53HADeV4uo5s8Ni6nmRXO38tTCZ/bU6eo/Yt05cCDiIbTSCT0Kve1ucD+5ckTZ+PplK5LvgNsBb53XSqpN9OYvl1ySFvZiY/n8tq83Ygg4fV9151LP0POKlKfDGzqVcSbEcDuzno1H3KtcWdZKXYJ4HtJd1d5k1HtodUw6PsTjZGbi7psoiYBfiUpOebs/VmZt2vHoOyaUNE3Ex2CtyeUkysyZvUq5RYwVlknPQP5DXAuqWT8uDaeX8j4GqyMv+KtXjCemQs4RWyQ9OVZILYfuSIJSeSDZDLSfpbD+5ar1XF42rP56ju98vzzckRL34u6Tu16cPJ5MqqI/vpZKyg+gyHkHGGb5GxH4APyGouIkcDON7X2pNXGtoHNHxOVRx1N3JUn1+R9y6KHIq6SpLcuXQArF63NZkE8SoZf7u9Nq+q6v9yROxEVoD9lo8l6w9K4Y07yKp7qwCDqkICtePtEHL48LvJQihvl/m/JWOo7wJ/Js9Ly5PH2ZYNx9lAf++ZTZmIWJY8HhcE/iLpiiZvUq8UEVuSCXZbSHqo9p1Wz1N4mCwgsI+kMyJiutp34NPAZ4DtJP1fY3tQid/dQY4gtDnwju+RzD7KyXtmXahW2ahK3JupStArz79C9iici7zxvbA2bx3gHGAgsKeka2qJE9VJ8mLgm8D7wC8kfW8i2xE+6dm0LnL4i3OBFckEr2Mb5s9IBu+mJ3uzXQG8ofGVw3YBziZvcO8HWshja0ayssqH5PC3r5M9bh6sJdKuRvberZLCbpYrg30iVYNRROxD9r69SNLWZV6Q1xwfaVCKiGHk8ClrAkdUlSNq61ud7Bm8FPn9eJZvwKZMJzdIewI/JhPsjicDSdORiZPLAutI+kNnAaLy2hPJY21HleGkIyv4DScbpSCPvbMk3dStO9dHTOzYqAXWryKD4FWgb9wNcXleXR/MSAbdDyK/Kw9QrZJeSXxZmew5/wbwFnCpE2DNPhknS/Scct13JtmDel9JD9TPV6VTyOHAd8nKLNsoh5U0M+vTHP+ZNrnRfcrU4p4f+T8uDbGXkB00nwDWkvRsJ+v4DbAdcI6k3WrTzyWT/waQnT8XJTs7tZOJSvd30271KY33rBGxGrA1MB9wfhWfqSXvfVfSaRGxAtmBfVsylnMteQ33ZG3dVdxnBrKy8lbAvMB7ZKW+M5SVlG0qlPjATJJeqf2NlwFuJIcr3lHSUxHxGTKxdTlyJJ8RtWvrucgG/F3Jjrl7SXorIvYiK/jfJengnt87s+YqyXv3ksnhi5bjojqXVcfb9MCzZDvFHpLOLq/9LHlMHUy27w0hq5XuJ+nO2nv42s7Melwtwfj/JG3XMG+QsuDQV8nqvO+So2G8GRFDlFX4qmvBF4HPlDaLCeKmkRX33uq5vTLrfZy8Z9ZFGhqPFiUDRIsCV1ZJQRExM9nj8zhyuLrdVEr3lob1H5DDPF0BfEfSi9WJryzzR/Ime1sy+WIlB5ustyoBwM3IhNb/ALvWqqi0AScDc9Ze8hB5PB1dW8eJZC+NecnhWa8lK7M8BXSQSWEbkQGoHTtrZHfD+9SZXAAhIn5HBnJ3l/TLxgSyTpYfQAZof05W09lV0n2dJJ7NXCUw2ZSLiMFklYKnyCEY3gMOl3RJbZmzycps50v6dsPrqwDUcuQwRW8DS0t6oZOe95N8bhNXGqbeU1YgHQL8gkyIXEvSHZ0sP0GVgzJtefI7b2ngQEk/L9P9HWdmvV45n10IfAN4BtgbeBR4ibwW3BlYlWz8+H5n351mZmY2bSidwMZ2FltoSH74Dhkb+gBYUNJLnTQCLkUmUswErC7pT2X6Z8ikvsOBN4FZgBHAwZLe6N497HsiYjFyKLQNy6SXyNE0DiiNuW3kiDE3kLGD7wBDyTj2dyXdXNZTdUCblay48mFjZZeImFHSuz28i31CRBxODul5PnCcSjW9iFgQ+B0ZL1hR0sgyfVcy/vAQWfnr8dq6vgKcQFYzupeM0S5WZldJmk4ysn6lJODdCMwK7CTpxob5VYLLEWTl0OeAVVUbvjMiliaPpxkkXV+b7uPJzLrVpNoJIuJzZMXQeYCNJV03kSIPlwGbkAUc9mrIjbgNWAM4UtLRbh8ym3oDmr0BZn1FCTLMEBGnkA1Jh5I90bYpAQlK4sm1ZDWItciGpur1bwCXkzfDm5Al56tx46ePiKPJijlXkYGr7zlxz3qzcjN6F3ApWTVvOxg3/OPPyYp455FDmvyFrAx2ZETsHxFDy2qOIhtqVwMWk7QlOUTH9aU374/LciuX5K9xw1lXj05qmTIRMaBc3E8qcW92YCFyCMEHy+RJBh3K3/8O4DIyiLh1LdARteWcuDeVSnD2LTJwviVZZW/TKnEvIgaVRS8ne3xuGBFfKPMGwrjjFEkPkgGn2YD5y7TGG6+xDa/1jdkUiIhtyaFxd4I875MVRAGWKcsMiYg1ImLHkiB7e0T8PrIiIuV1fyMTWwLYqiQEwmSOQTOz3kA5tNo+ZNXmBckqIf8gKxr8mrwe/A05LNEdTdpMMzMzm4yqEa8kaX2+3ONsFhHrlljAWABJ75Odm+8k72V3KauY4P5G0j+An5Snh9emP6us7L84sDbweUl7OnFvytViZ23AX8nEvT+RHc0WJpPDqk6XN5FJlusDR5PJlPtJWlLSzZGGlPj5bMAPgR3go7EDJ+59PCVWuhOZqLoVWTwAAOXoCY+S1SeH1172G3KI6WXJNowhtXn3AAeSHa6XIq/BLyarjZ1W1ut4g/U3/wH+RRYSWDUiZoHx35e178T3yfj4AsD3GpZ5WNLtVeJeFZ/18WRm3aXWXjOxxL0o7anVNfWhZdqY2vXgwDLvh+Vxz4horXIjyrT9yuOREfFZtw+ZTT0n75l9QrUT16LA1eRQTY+TFfRmB/Yle3hWRpK938aSN8XL1ua1kyfHUcD3I+KyiDieDIwcBlws6TpJR0g6tVt3zKwHSHqR7Kn7b2CziNiCDDS9CnxD0k6STiaHva0u/H4ADC+JZO9KelHS/aUS2CByOI5KS3n8C3nTXL2v6o82aVWPnNL7fVhEfDMiVomIOcv8KvjwOlkyezDZiA4loWtSlMPaVf8HO5AJzP58PqESnL2THD76x8C/JD1aqhfVA0ojgeuAucmhG6qE9KgCSBHxeTJQ+xpZ1bKz96uOK9+UdaL2t4yGWaPIioizVcn+ZJI+wE8i4nqyauKVZKXSrYFWMiHzjIjYJLKCJWTQ/XqyZ/y3ImIGH0dm1ldIeh7YHdiNHEbv72Sj4q/JagY7SHq5iZtoZmbWr0XEXBFxTanm1alyr/npiBhBVvs6lzyvXwtcExFfri3+LHB2+X2biFisJP01tmmcScZi146IqmNolQzxnKRHVBuu1aZM+VvPRXagmAU4iOwocYGkUWR8oKo09SJZwQ3geWBWST8r82co63uvzP9+WefcDZ02fe86BWodMavn1fHwPvCH8vv/gB0j4tCImKNM+7/yuF5EfArGfSZnkm0Xu5FJfJUxku4ihzT+KlmxbytJ/+7qfTLrLUqnstOAMeSIQquX6Sod36cri85GJu+9BewTEV+c2HecJjFijZlZV6hVxlunFAQ4KyL2ioh5yyLV9dg55PX5ymQV5XHzyjX8ALJt6Ioyr0rmH1U66DxEXm/8AxjVSTuImU2Gk/fMPqHaRfcW5I3sdcA6kk6Q9Iakp+oX5uVi/Daygt7ywLa1xJfRki4jgxivkwksBwJfLMsfUK2nJFX4xGe9ThVUqgWX/gZcAMxF9gzdCDhW0p/LTe9ASW+XoN8vybLy2wPLlfXUA30floptgyNiN3JIj+eAH5eba2sQEXM0JBF/REnamyUiziR76l5MltC+NiJWaAg+XFMe146IuUrwYoLvqupzjYh5apPvJ5OORCZv2hSo9XhqnF4Fcw8lA0UzAG+Unu6Nx8Iz5PBBL5BJtAdGxGxKH0ZWVNyfTIz9pVwFcaqVnmofwvjrhtp34FPk//z6ZKUCJN1Hdgb4B1lqfjHyGDkQ2LQ8P7G8/qBadYp/k8fgh2R1ClcWNbM+pXQmOEfS1pJWBraRtLOke5u9bWZmZsZ6ZHW2H0TEp+szap2fVyM7mX0LeISsDnYeeV/6NeCCiFi9dCKsYqgXA8PIJP6PVA2R9ApwTHl6akTM4mSILrMpGX87V9JJVVW8co9bdeCr/tYnAy+T1fp3L4l/SBpVYkOtEXEpGaf4A3CBE/amXonTzBwR25fnVTzgf8CTZMLQPeQwuUcAe0XETGTF/0fJz2fh2vpuAC4ih8nbJcaPIFR9vs9J+qukh3toF82mdVXbXguwd0SsDOPuVT+IiAXIdr3TyfPbQOCQThLPzcy6RUkfGFh7PlfkaD43kQUBdicT766MiEVK+99ASW8y/pr6wIgYWs2DcdccAUxPtuOtHhHfKMtXycs7SGqV9Iqv88ymni8WzLpARCxFJja8RQ5n+0JJTicoWYQAACAASURBVOk0uU7SM2Sy0n+AbwLrlvVUJ8BfkMOAfpus4LeWpE0kPVNL9JNPfNYb1YJK1eObZEWpe4FvkDe0T1fLlB4d1YXmqWQCy4rAKqV3b5UIs2REzB0RWwE3kEPvjiETXEb21P71JhExH5k0dGWUMv9lemOy3SCyN/wewEtkldFHyd63v4qI5WqLPwz8k6y8t2nDeuoX+csBZ5bEsCrIeCIwt6Tbu3A3+6RoGJo2IhaIiGqo1SqYG5L+SlZ7BZiD7Pk5gXIM3cL4G7NjgKsjYteI+AFwM5kw+zdymGubSqWhYvGIeLD0bJu+9h34AHnMzEd+B1bOJDsFrEoO8bSOpFMkXSnpCbJS7yvAFyJikdrrrgGWlbS3cqgpM7M+p3Ye9NB3ZmZm0whJF5Cd8hYB9m6YV8UwtweWAM4AVpd0GDkk7tpkUt9nyVjoCmX5V8iKbv8DtivJf511ZLuYjCvdB3ykE6F9bCI7hY2rtlbiR5+NiC9GxOERsX3p2PkcsGdZ7GRgRETsHhHrRcTpZKxu0/J4gKRne3ZX+obISob/AM4vf//5arMvJEfDGEt2aL4LOBLYv8Rf28nOgPOVdU1fXncmORToNsDXfPyYTVyJ5+1Pjpa1DnBpROxR2iZ2IYt7LARcRp7PniPjfV9vzhabWX9T0gfG1Ao87ECO5nNn+f0Q4M/k9fZZ5TXVaEpXke2181NGaQLqCXxjgCHkaGdQKvsqqzK7mqjZJxTO/TGbvNLb8yPVa6pehiVwdAfZ62bj6iQ1kXVVr5mDPEHuR/aE20vSGyW7vdMhByc1z6y3KL3R9gFOl3RPmTYdedH4E2AmYDNJV3T2Px8Rx5IXjZdL+mYJKM1M9tpdiqwwBnAr8H1J7T2wW71WRNwKrAXsIenshnnDySFX3yOHsDkTOFLSa5FD5l5CVgW7APihpKdKD90DyeGNnwG2bayGExGrk8mVw4AVJP2tG3exT4uIzci/96zkcXA1cL6kv9SWGUomvS4AbCnpkkms7xCy91Vrw6wLyOPpla7dg/6hfAYXA18pk44CzlEOGU1EfIusfngOeT0wuvHao3zXDVKpnBgRXyGvO9qBryqHrTYzMzMzM+txVfwmIr5EJjSMAlaS9EhtmRXIhr7ngUUlvR8Rg8nhOcdGxNJk57OlyeSv4yS9GREzkxXEvk/GIbYuy4+r/lbWP4ukt3pmj/uHiFgM+Cs5RG7VSXYlYHFgmdqi/wX2lHRxqQi3NzniDA3LHC/pJ92+4X1cRGxNVjD8LBlHOKDWSH8L2XlzVXKUk+vJCmHfJGM9R5BVD7evH0MRcUxZ54+BQ9wGYTZpkSPZnAZUw72/Rya0ABwNnCTp3YjYqyz3ELBGSaQ1M+tWEbEfmcD/JeDX5Og/W9WKQcxFtisMpbQN1vIXlic7xQwk2x1ur613b/I6fVkyt+FpYHPyet5JR2afkCvvmU1CVT2vajxvLG1dOxEtVB7fVY7tPtFjq1Zy/r9kwOlhcliIb5TpH7kxrlXb802z9Wqlytr3yeFxN6/11viATL67uiy6XZk+pvba6rj6TXlcPyLmK71I3iKDVfeQ1fnWkbSuE/emSBsZ2HuoPjEiNiR72PyIHM7zrlLJ67XIoVdfI5MoHwI2A9aKiOlKBZzfk4lKnyN7Wn8vIlaJiKUj4mTgCjJx7zjgsZ7Zzd6v6ilVzk0zRcRp5Hnki2RZ8jmA3cgen98pjSBIegk4qazm4Ij4VCfrro6vk8hz0r5kcvmBwBckbS/plUmd3+yj1wmV8hn8qzx9l0xuPbi2yGPAi2QDyJzlNY1DQamWuLcx8FtymN2jnLhnZmZmZmbNVBKHBki6m4zPzMCE9zyQQ3WOAf5aEvcGSRpdq0r+MFll7z3yvnTxMv1tsrPTY2Tloi3K+iaoDubEva4n6XEydjMnOVrCyZQGWvIzOYas1j8HsF9EtEj6Dfn5rU/GlA4gYxWLOHGva0j6PXA4OarP98rvlT+TSXrLSXqajO/cRw7hORtZTXHFiFi4NNBXVXlOJathHug2CLPJk1TFxLcnvwf/QFagWl7SkSrDjJOd4f9MJrp8pxnbamb90liy2MP55fHgKtE/IgZLepUssgJwWETMX64LohTbOKrM+3VEnBwRG0bEb8nKvrdK6gBWVo4a+KET98y6hivvmU1EQ8+zFckhbEcBDwK3S3q2nOBGR0QL8AjwBtmr9PGJVeurrztyiMNdyZPdA8BGkl7sgd0z61aT+f9fl+ytO5jslXttbd43GN+Td0dJt3RSfWpR4HYyAWZt4Plagu0cJTHWPoaSfPdB+X0mMgFvXbKHzU8lfb++TFnuu8DxZCBw7xJsJyLmBi4CVqchoA68Tg4x/htsqpSqrQHMTQ5d/CcyGH47WZ3geGBN8nx0uHIY9ioJ/G5gZXK4lFMmsv6JVpoFBjiAO2UiYhnghZLwOH1pmKqq9P6E/O5ahqxY+aNSme9qcjjppRqvIyJiYfIaZEly+OoNgenJZMtj3UhlZmZmZmbN0jhqQrlvHUlW/dpQ0g1l+uZknOBBScs3rKOKlX6arDC+JLCFpEvL/MFkDPX0su7VSqOjdbPSSW1VspLe7GQlt8eAsaUy4gLANeQ97pqS7mysimjdIyLWIkcegWyAP5uM410DnCVpr7LccuSQup8hK4P9G9hH0vU9vtFmfVTp7P5e+b3q3BslWWZD8rj8B5ns8k6zttPM+ofyPfQqmbj/NLCWpCc7We5KYDhwiqT9G3IjLiWHB5+l9pKHgV0k3d/d+2DWH7l6ivVLETFfRJxWgguN86pKYIqImSPidLI87K5kT7XzgatLxa/R5WVvkb1rZgE2La8f27DeqmLSSmTSBaX3za3kzfOJTtyzvqBerbJxevn1PjJYuwCwXQnqVu4mE8bmA/YtQ56MjYiBtZ6gswPzAzMC/6u/lxP3Pr6I2AN4NXJIW0oQ4ZdkNTCAGctnWyX3VdcQF5M9C78CbBQRs5TXvwJsTVYVvZCs4ncJOVz4Z524N/UiYkHyhutOYCPgn8BwSbeQZckfAHYiE8LnBA4tSV9V1ddjy6oOiojPdfYeDYmyA6rHUvXNiXuTERGDI+I4MtH/xwCS3i+z/0UGyIcCO5Kf4+ERsX+pzHcHOUz1tmX5ekPHUcCTZJXMTcnPfgNJBzlxz8zMzMzMmqXcL1bDb305InYhq/BXIyscETnsLWTH5+eB+SNinfKaarQRlSTAl4GryvIbVu9TYrDXkJ2fnwSqmKx1M0ljJd0l6dRSTeo+4A2VoR8lPUd2sAWYtUxz4l43KzG624A9ydjd0WTbxfXAS8AyVduHpAeBbYBXyA7TCwOLNmO7zfqqWuLewPK9ObY6P0q6jkxIb3Xinpn1hNLOM7w8HUue/8epciHIKsofkO2xX2yoyrsL2cb3S+BSshjLsk7cM+s+Tt6z/uogYC9g78YZDckJm5ClrP8G7A8cSmaVLwOcVEt+eJlMwhsNbBURX4Y8+VUnOUkflkSIM6kNGyHpEUnbSLqka3fRrDnKxd2yEfGz0rNzgkqWkv4HXE4GXNenJLyWea+QF4GPABsAJ0TEbJLGlGNoYfJiEuAMJ610qVFk+ezvxfjhVq8iE5MBPg3MUy2s8cPavEAO3/kKOUzAsrV1vizpGmBbSZsCO0g6wUGKj0c53MnjZAWCY4D7JL1RKrtVx9dzwLlko8b85PAp1euvIxNn5yLPaZN7v7H1R5tQLbmxXllyLHnMvApsHxEH1hKUR5HXE9sCL5DDBv2FvJ7YF/hVWW6ViJizfJdW1+rnkB0JfglsVW6Sb+zG3TMzMzMzM5us0uFywVK1449k5a8byKFVxwIrAt8qi79DxoLmAr4aETOW+57qnqpK+PpfefwvTNC4+CywvqQNJb3RnftlH1V9DmUkGtWm7wesQsb6bmjS5vVn55JtFqPJ6vzbkUN3Lk5JpixJtn8DfgC0A0+QHXHNrIs1dn6uYntVJVkzs54i6S5y2O7Pke2t1HIWquTivwFnkaNvHVKuGT4s816XdL2k3YFtVEZ5MrPu4+Q9668OIzPJt4mI+eszIuKbEXFvKTt/BHAjsLakUyQdT2aZjwS2AjaJiJlLJaqbyADFMsDPImKBKuGorHcNspH+C8AbtcBT9b4+Hq1XavzfLcM//pgcrmH9yGFW1ZDg8ggwApiBrL63WG3eg8AF5fc9gNsj4piIOIs8Htclj6Vrsa70GzI5eTi1hErgDOApssf7ivXPsfb7NWSv+sWBLSKHzIUyXG71+Usa1a170D9sUB4HAe/BBJXdKk+Qgdr3gHUiYlht3o/IarG7RsRXunlb+6SSmD+uwmhDRQFJuoOsgPgScDjjq4i+Tn6/BZmA9xh5LfEk8FNgB/K7cQGy+mg9gfKPZIeCvSRd3O07aWZmZmZmNgXK/f/vyFjCnWTS3srAieToCpDV3xeQ9AxZTfwdYDPyHqdeda/qOFbdw1aV3arGRZVOn9YEtc9hNGSsOyIuBk4mO6idI2l0Q/zPukkt1jaajLFWnTfPITvWzk22Q0DGkCATLDeRtJikf/ToBpv1U+4UbWZNtkV5PLp0wKgKDdXbdk8EniNH0dq4s5VUuQ5m1r2cLGT9UinrvwFZqvr5htnbk71C9wE+BH5YKhsNLIGkDjIo8SbZ0L50WecjwE/IqjpfAG6MiPMiYq+IuIxMbFkeOA84u7EHji/irbepDTE9tjyfszx/iUwEewHYkux9O0GCSykjfyOZ9PolMoGlmvd2mVdVlZqOvMDcjAw2HQ98xUGmrlU+x2+Xp4dX1cLK0Brnk5/DHsC8tdeo9MR5l0y4fJRMcF6nts5xy/bAbvR5kp4gP4+BwAy1Eub1ZcaSPanbyWGmF4BxPa3/wfieVN9zUH3qVENC1SqMHhARe0bEthExRy3Z7hrgQHJIqMMZX3H3d2Q1ieUiYvZSuXJX4P6y/OeAFrJqYr3CRNXTzTfJZmZmZmY2LdkYWJUckWRdSZdJ+rek48gY69+BzwDfLctfTnYA/BxwaESsDOMTwyJiczKu0A78uid3xCYvInaIiDMi4n7gNuCbwD3AxpJuAsd/elJtFIaxkv6PHDr3v8CaZZHtyvwPyuOHZVQHMzMz6wdK+8NPycrXR5XJVdGNsaW94yXghDLvzIiYpee31MzAyXvWj0m6TdI9ETFXNbRncRxZtWg4sBBZcaoKIlWJKJeSVb8+D2xWVZmS9GcyMHU9sCDQBpxG9iR9HWiTtJOk/3Tv3pl1n0gDaoHV1SLi58CvI+KbZbFbyOOgFdi8SgRrSBR6ArgYeLcs8+XavA7gQuDtMn8XYDFgBUmHOoGle0h6ALiEHJZ1t9qsX5LJResCw+sJY7VkpTvJZMw5gDmdFNat9imP25HHxUcqYEp6lEy4nBv4VJlcLXMSeaO2vYPqU6fc0M4VEeeTwz2dQFan/C1wd0TUe6ZdDOxNXjscFBE7k9UQryUbt6og+x/I5L77gZnKa/cp8yZI9DczMzMzM5sW1O75VyiPt5Sqa4MiYkCJGz0N7Fnm7xsRK5QGxLPI+6JhwBUR8buI2DkiLiKryA8hE/f+49jCNOc+sgPuPGTy3jaSvlQ6flqT1GJCPyVHQ3mrPP9Mw2gnZmZm1v8cSrZFHBQRC0saUysaULUP/Zwc8exiSW91thIz635O3rN+LSIWAF4mA0WfApB0L3AFMAp4jayAQ5lXlaN/k2yof4rsDbpSbZkOskrYemSVqp3LMotI+m153wmGzDXrTcowJWMjYrGIuAa4g0z0WhFYtZRefpFMAvsnWWp5req1kEHekvT1V+BfwKLAthExfVluNDncyp+BWcgqfm9Jeq3n9rTf2rs8HhARiwOUz/MXZBLSd8jPa5xakPA0oEXS6U4K6z6lOuXu5ekPy7SqAuaA6jgCquGE3irLfFgaUF6XdJSkt30+mjJVg1FJ9r+eTNR/GPg+WTnvd8ASZBLzZqVS73uSbiYbq0YBxwA7AiPJpMvlq/VLuo1MUq6S9W6pv6+ZmZmZmdm0pHbPv1R5fKE8ji1VwMaW2M895CgkA8lq41Xn513JDoADybjpL8khd/8FbCTp1FIlzLGFaUjpKLgW2en9a5IubPImGRN0rH2D7GB4IvAssLOkx5u5bWZmZtZcZSS07crTk8u0MeVRETGoXHOvIWm/Jm2mmQHh+1/r7yLiVjLo8D1Jp5ZpC5IJfMsC+wK/KMlEja89EfgBWV3nQElPl8BUpwdWOQG6Ypj1WtX/d0RUVSVnAf4EnANcBswk6dWy7AzAQcAhwFXADyQ92XiMRMQ9ZALs48DBki6vzVvQwzn0vIg4GDgWOFfSLmXaYDIhczhZofRYSaOat5X9W0mYfJ08BncBLimJ5dX8FjKxdgiwnKR/d7KOiZ6vrHMRcQo53NOvyO+r12rzDiZ7sd0HHCPp9tq8vYHDyJ5sj5LXFxdJ2qPMH1h6vK0G/LOUqjczMzMzM5umRcRxZOznp8AB9erhtfucJcgRFgA2k3RFmT8L2TnwS8Ag4Jl6TMjMzMzMzD65UiTgBWAosLak25yzYDbtceU9M9ihPB4cEQsBlGShc2rzF6y/oFZl6ndk5bANgTVLxbGJJe6FT4LW25XEvbnIIR1nIQO060u6oCRyvQZ5jJTnVwH3kMOtblBL/htchlKpqn49QAZs946IeWrv58S95jiFTAzbKSLWhHHVEM8gq5XuBqzSvM2z0qt6g/L0aOCMiFgmImaNiB2AG8ghc8/sLHGvrMOJe1MhIpYkK08+CuzTkLg3FPgsMCOwBrBsRAysXS+cSyb7fxr4CjAbMG9EzF/mV73k/+jEPTMzMzMz60VGAu8Dy5HVyMcpiXsBvEnGTwF+GBGzlt/fkfSgpDMk/cyJe2Zdw1X8zczMrK60Ba1Xnv6+THPOgtk0xsl71u9Jeo4sJf9poF4OdgRwIxl82joihtReUzWyPwxcAEwPHAAsPon3cZKE9RWbksfFuZJOkvQuTFjFq3aMPABUQ2jsBKxdpo8uF4ZfI4eOPJ9MiHmHDPpaE0l6H2grTw+rvv8k3Uomhc0JLOVgYHNJuhu4F5iXLHt+Ppl0+Wsykex0skqiTYFaot3ELE5Wg/hDKTVPRMwUEXsBt5NJra8Cu0n6qaQxte/CdyX9hqxo+d+yvq+RyX6+RjAzMzMzs97qKuBpsoPfmmUUBiINKPc6A4DFgDeAZYC9YHzsyMy6lmMMZmZm1kjS34FbgVsiYoDb98ymPU7eM0vHAKOAvSJiFciGduAs4C1gd2Dp+gtqjfxXAHcCtwGP9dQGmzWRyCpR46p5laFOPhsRX4yIwyNi+4hYocy+CriUHCby1IjYOCKWioijyB4efwB+DmwkaSNJr/fo3tjEXAfcD6wJbFGbfgywoqTTHQycJlSfzTvAD4E9gcOBZSXtK+ntKUhK69eqCqATaziq/f2mA4Jy/RwRG5Pfb6cBw4CfAPNLOmcS6zgOOJtstPoN8ESX7YiZmZmZmVkPk/QGcBLZsXl3xleIH1C7x1oC+A9wXnm+VUTM1KMbamZmZmZm60vaTtJYt++ZTXvCx6VZiogtyUSi64FNyhCRRMSvgG+TQ97tX4JS1WuqIUA/JenNZmy3WU+LiMXI4U5eI5PuxgArkVWplqkt+hrZm/riMu80YJ0ybwwwkAze7irpuh7ZeJsqETGM8RURF5b0SpM3yToREacA3wWOlHR0bfoAcDWDKRUR65Dn+9fJ//vLJP2nVIsYWxKSbwYeB54FhpPfY9cC+0p6sqxnsKTREbFwfcji2jXD7OQ1+H8xMzMzMzPr5SJiMHAR8HXgFbIq+Z2S/lfirT8DXpC0fER8Q9KVTdxcMzMzMzMzs2mOk/fMipLk8HdgKWBrSReV6cuS1fWGApsD13eWjV7Ky4aTJKw/iIgDgUOAWWqTHwDagWfIZL51ySE9d5PUHhFzAd8nh8mdE7gLOMoJLNO2iBgBjCY/xzHN3h77qDKs8TtkVbjFJf0rIqaT9EGTN22aVM7XA6r/5/LddCqwdcOi9wPbSHqiLLcEOTTxSmX+P4G9JP2hzB9U1vtBRMxKJvqdJWlEfVhxMzMzMzOzviYiFgKOBrYj709fKrMWBj4A9pB0XqcvNjMzMzMzM+vnnLxnVhMRXyArij0KrFYlFUXEYWQA6m/AcEn/ad5WmjVfSXZdlUzEm52sWPkYMFbSmxGxAHANWYlvTUl31l47PTCzpNd6fsttalVVx5q9HTZpEbE18DvgSkmbNnt7eoOIGCTpw4jYnxzm6U5yGKf5gI3I77hbJH2t9poTgL2BF4CvS3q0fB9OJ+m9ssx0wOnALsDRko7swd0yMzMzMzNrinIv9CNgY7IT9GDgQeBgSXc3c9vMzMzMzMzMpmVO3jNrEBEXkRX2DpV0fJk2P3ATWVlsF0nvN3ETzaZJjZWlIuJuYBXgG5Kubt6WmfV9pZrcC2QDydqSbquS05q8adOkiNgPOBL4EvBr4Clgq4ZqfO3k33MPSWeX6YuQ1fdWJZMlj5H0eG296wOHkd99vwf2k1RVnDAzMzMzM+vzImI2YAZgXkkPNHt7zMzMzMzMzKZ1Tt4zaxARnwZeBF4lq++NLNPndKUwswlFxEBJYyJisKTRten7AScDl5PDUI+e6ErMrEtExDJkVYNXJA1t9vZMyyLiu8Ap5N9rRmDjMtzwIPL6eHREbA5cBDwPrCzp+fLa4cABZALfY8AfySF01wPWBAaQCYE/lPRCz+6ZmZmZmZmZmZmZmZmZmfUmTt4z60RtmNxTJO1fmx7AgKoyj5lNKCLWAPYEvklWAdtJ0k2NVfnMrHtExM3Ay8D2gHzcda4MdfsqMBvwNLCWpCc7We5KYDi164Hy2oWB04DlyOp8lb8DR7jaqJmZmZmZmZmZmZmZmZlNCSfvmXUiIqYnh7o7vtnbYjati4gdgC8CKwHLl8n3AHtJerBZ22XWH1XVMJu9Hb1BRHyZrJr3JLCmpGdq86qqossDdwMDgVUk/TUiBkgaGxEzAvOR33/vAm9Jur3n98TMzMzMzMzMzMzMzMzMeisn75lNhhMhzCYtIpYkE2BGkUNH/krShc3dKjOzyYuIu8jhb/eU9IuIGCTpw4ZlTgG+C1wJfFPS2DJ9QPW7mZmZmZmZmZmZmZmZmdnH4eQ9s0nwUJ9mUyYiliYrUz3sZFcz6y0iYj7gOXII3fklja5V1qsehwL3AwsAm0i6qpnbbGZmZmZmZmZmZmZmZmZ9x4Bmb4DZtMyJe2ZTRtLDkh504p6Z9SaSXgB+CswFHFUmR5lXJfC9BJxQ5p0ZEbP0/JaamZmZmZmZmZmZmZmZWV/kyntmZmZm1m9FxBDgHTJpb1FJ/46IgZLGVBV4IyKAPwP3SNqvqRtsZmZmZmZmZmZmZmZmZn2Gk/fMzMzMrF+LiK2B3wFXStq0Yd4gSR9GxPSS3m/OFpqZmZmZmZmZmZmZmZlZX+TkPTMzMzPr10plvReAocDakm6rkvaavGlmZmZmZmZmZmZmZmZm1oc5ec/MzMzM+r2IWAZ4EHhF0tBmb4+ZmZmZmZmZmZmZmZmZ9X2Dmr0BZmZmZmbNJunvEXEr8HJEDMhJ7uViZmZmZmZmZmZmZmZmZt3HlffMzMzMzICIGChpTLO3w8zMzMzMzMzMzMzMzMz6ByfvmZmZmZmZmZmZmZmZmZmZmZmZmfWwAc3eADMzMzMzMzMzMzMzMzMzMzMzM7P+xsl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj3MyXtmZmZmZmZmZmZmZmZmZmZmZmZmPczJe2ZmZmZmZmZmZmZmZmZmZmZmZmY9zMl7ZmZmZmZmZmZmZmZmZmZmZmZmZj1sULM3wMzMzMx6h9YRrb8AditPL2pva9+qmdtjZmZmZmZmZmbW33QMa5kgRtcyssMxOjMzM7NezMl7ZmZmZp1oHdG6EPBkN6z6zva29jW6Yb32MbWOaJ0TWAtYHVgGWAyYHfgQ+C/wCHAHMKK9rf3FJm2mmZmZmZmZmVm/0zGsZSG6KUbXMrJjjW5Yr30MHcNaZgJWAlYEWoHFgc8As5Lt2W8AzwN/Ba4AbmgZ2TGmOVtrZmZm1rWcvGdmZmZm/VLriNYVgOOANYGBnSwyHTAjsACwHnBM64jWk4Cj29vaP+ixDTUzMzMzMzMzM+vbrgXWmMT8OcvP0sC3gX92DGvZtWVkxx97YNvMzMzMupWT98zMzMw6Nwq4aQqWWx0YUn5/AWifzPIPf5KNsi61ErB2w7SxwL+Al8rzxYGh5ffBwKHA8q0jWr/uBD4zMzMzMzMzs27nGF3/x4TyhgAAIABJREFUEA3P3wKeAF4HBgDzAouW3wGWAG7tGNayVcvIjst7bCvNzMzMukFIavY2mJmZmfVarSNanwIWLE9HtLe179C8rbGp0TqidS/gdOAD4GrgAuCO9rb2NxqWWws4A2ipTf5pe1v7fj21rWZmZmZmZmZmNnEdw1qeohajaxnZsUPztsamVsewliuAd4EbgbtaRnZ8ZKjkjmEtQ4F9gAMZP4rGW8BSLSM7nu2pbTUzMzPraq68Z2ZmZmb91SjgNOD49rb2Fye2UHtb+22tI1pXAe4CPl8m7906ovWU9rb253pgO83MzMzMzMzMzPqslpEdm0zBMi8Bh3YMa3kcOK9MngXYEzi4GzfPzMzMrFsNmPwiZmZmZmZ9T3tb+7ntbe37Tipxr7bsG8DetUmDgOHdtnFmZmZmZmZmZmb2ES0jO84HHq1NWqtJm2JmZmbWJVx5z8zMzGwa0DqidVlgG+CrwGeA2YD/As8AtwC/bW9rHzkF69kK+H15+lJ7W/s8ZfoSwC7AumX9g4FngZuBs9vb2h/tZHWN6/4FsFt5elF7W/tWU7Fv3yQDaQsCcwJjgZfJQNudwOXtbe2PT8n6muhO4A1g1vJ8WBO3xczMzMzMzMzMuljHsJbJxuhaRnZMNkbXMaxlghhdy8iOecr0ScboWkZ2TDZG1zGsZYIYXcvIjimK0ZV9m2yMrmVkx7QeowP4G7Bk+X2eZm6ImZmZ2Sfl5D0zMzOzJmod0TojcCbQBkTD7KHlZwXggNYRrT8H9m9va/9gKt9jT+CnwHQNs4aVnz1aR7Qe0d7WfvzH2IVJve9Qct825aP7BhkkXBBYHzi+dUTrtu1t7b/vZLlpQntbu1pHtL7O+OS9TzVze8zMzMzMzMzMrGt0DGuZ4hhdx7CWnwP7t4zsmKoYXcewlsnG6DqGtRzRMrKjS2N0HcNapipG1zGsZduWkR3TbIyuqLdxv9m0rTAzMzPrAk7eMzMzM2uS1hGtnwJuAlauTRbZ0/UVstdoVd1tEDls67DWEa3D29va35vC99iBDM4BfAi0kwGthcnevZA9fI9rHdE6pL2t/YiPvUMTvu+SwA3AZxtm/Rt4jgwUzgssUn4PxifFNa5rZeCe2qQ92tvaf9EV2zk1Wke0Dgbmq016uae3wczMzMzMzMzMulbHsJaPFaPrGNYyvGVkxxTF6DqGtezAFMboOoa1DGkZ2dElMbqOYS1dFqPrGNbykRhdy8iOHo/RdQxrGQR8uTbp7p7eBjMzM7Ou5OQ9MzMzs+Y5iwmDgpcC+7W3tT9bTWgd0boYcAY5lAbAOsDxwPemYP2fKq8FOAc4pL2t/dXautco0xctk37YOqL19va29jumek9qWke0zgZcy/igoICzgRPb29qfalh2duDrwO6f5D17yHAm7Bl9b7M2xMzMzMzMzMzMukynMbqWkR3jYnQdw1q6NEbXMrJjXIyuY1jLGjTE6DqGtdzeMrLjjqnek5qOYS0TjdG1jOx4qmHZ3hSj+xHjEx4/AE5t4raYmZmZfWJO3jMzMzNrgtYRrasD29Ymndfe1v7txuXa29ofbx3RugFwBbBxmbxv64jW89rb2h+ezNvMUB5PbW9r/24n676jdUTrasB9wAJl8hnA56diVzrzE+Bz5XcB27W3tf9fZwu2t7W/DpwPnP//7N15nFxVmfj/z+lOJySks5sEQpAlCV1IJWzZQwgMRkUFBRkRhYAmgyOuDOMXR53B34CDo4IjioggNossSlxxYdEAWUhCIFCEagmETQKJIWQnSaf7/v6oqk71ml4qVd1Vn/frVa+qe+85p57qJrf6PDz3nnh1vH8X33e/iVfHy4DLs3a9SeqKbEmSJEmSJPVQyapYsxxdrCbZLEcXq0muTlbFmuXoklWxW2I1yXbn6GI1yWY5ulhNckGyKpaXHF2sJtliji5Wk2zI0SWrYt0qR5e+095wYDLwGeC09KF64OJYTTJZqNgkSZJyoazQAUiSJJWoL2S9fo3UchstSsxJ1AFzgc3pXQH4fDvf52UaF501Hft1Gl8h/K50QV+nxKvjhwDnZ+36QWuFey3Esq2z75sH/w84MWv7qsScxPZCBSNJkiRJkqScaHeOLlaT3G85ulhNslmOLl3Q1ynJqlizHF1rhXstxFLQHF2yKjYoWRWLMg+gltTvZj57C/cWASfFapI/K1CYkiRJOeOd9yRJkvIsXh3vDZyetesn+yoES8xJrI9Xx28HLknv+hCpZOG+3JiYk9i5jzbzgbXAwents4BH2jF2S84BKtKva4GrOjlOg8ScxGOkkqEFEa+Ozwb+O2vXYuC6AoUjSZIkSZKkHEhWxZrl6GI1yTZzdLGa5PpkVaxTObpYTbJH5+hiNcmC5uiyPA78kNSdCiVJkno877wnSZKUf8cBfbK272tnv99mvR4ar46PbUefP+6rQWJOop7GS8BObGc8LTk56/WjiTmJdV0Yq+Di1fEJwC+A8vSuN4GPJeYk9hQuKkmSJEmSJOVATnJ0yapYTnJ0sZrkfsvRxWqSPSlHV0vq55B5PAI8R2rpX0itjvFz4JlkVezYgkQoSZKUQ955T5IkKf/GZL2OgGfa2e/pFsZZ3Ub7CHi2nWNnx9CehGNrYlmvV3RhnIJLF0f+GRiQ3rUVOD0xJ/FK4aKSJEmSJElSjpij64bSdz98b9P9yarYUFJ3Ofw6cCBwFLAgWRWbHqtJrspvlJIkSbnjnfckSZLyb3DW623tWNY24x9tjNOSbYk5iV3tHPvNDozbliFZr9d3YZyCilfHDwMeAkakd+0APpCYk3A5DkmSJEmSpOLQKEfXjmVtMzqco4vVJM3RdVGsJvlmrCb5LWAGsCW9eyDw08JFJUmS1HUW70mSJOVf9nIcu9vbKTEnUQfUZe06YB9d2j02kJ1A7BWvjpe32rJt2Z+tvQnPbiVeHT8E+AswOr1rF/DhxJzEI4WLSpIkSZIkSTnWqRxdrCaZtxxdsipWsjm61sRqkiuB/y9r16RkVawrSwxLkiQVlMV7kiRJ+bcp63VlezvFq+P9gOyE3abW2nZ07CZtt6ULBTvjrazXAzs5RsHEq+MHA38FDk/vqgU+kpiTuL9wUUmSJEmSJGk/6FSOLlkVy1uOLl0o2Bk9OkfXDnc32Z5akCgkSZJywOI9SZKk/MteqqJ3vDo+qp39jmxjnJb0ThejtccRHRi3LW9kvR7XhXHyLl4dH0Hqjntj0rv2AOcm5iR+X7ioJEmSJEmStJ80ytElq2L7LUeXrIqZo8ut14D6rO1hhQpEkiSpqyzekyRJyr8VTbantLPftKzXdcDKdvSZ1M6xs9s90c4+LVmS9XpmvDoeujBW3sSr4+8gVbh3VHpXHfDxxJzE/MJFJUmSJEmSpP2oZHJ0yapYj8jRdUB/Gv9/7rdaayhJktTdWbwnSZKUZ4k5ibXAC1m7PtHOrudnvX4iMSexrR19PravBvHq+EHAyVm7HmlnPC3JXl72MGB2F8bKi3h1fCjwIHB0elc9cEFiTuKewkUlSZIkSZKk/SlWk8xJji5Wk8xJji5ZFSvpHF0Hndxk+4UWW0mSJPUAFu9JkiQVxk+yXp8Zr47PaKtxvDp+FjA9a9eN7Xyfj8Sr4yfso82VQHn69W7g5+0cuyV/Ap7L2r4uXh3v34Xx9qt4dXwQ8AAwPr2rHvhkYk6iKz8DSZIkSZIk9QyNcnTJqlibObpkVazTObpkVaygObpkVazb5ug6IlkV6w38V9aut4GHChSOJElSl1m8J0mSVBg3Am+kXwfgl/Hq+PiWGqYL+36WtesF4I52vk8ZMD9eHT+ylbEvBT6ZtevHiTmJN9s5djOJOYl64P9l7RoLPBivjo9uq1+8Ov6eeHV8VivHpsSr41HW49Odja/JuJXAn4Hj0rsiYF5iTqI6F+NLkiRJkiSp22uWo0tWxVrM0aUL+36WtavDObpkVazFHF2yKtYsRxerSXY6RxerSbaYo0tWxdrM0SWrYu9JVsVmtXJsSrIqFmU9cpKjS1bFvpCsin0pWRUb2I62BwO/BU7M2v29WE1yey5ikSRJKoRehQ5AkiSpFCXmJN6KV8c/BfyOVPJuBLA8Xh2vJnVl7Ib0vjOA89h70UUtcH5iTuLtdrzNP4AEcCrwVLw6fiPwV2ALcASpJT5OyWr/MvC1Ln40EnMSv45Xx68BLk3vmgw8F6+O30nqKtjXSCVDDwImAmcChwP/Cizo6vt3wDeASVnbbwH/HK+O/3M7+29MzEmcl/uwJEmSJEmSlA+xmuRbyapYsxxdsirWrhxdrCbZ4RxdsiqWlxxdrCb562RVrFmOLlkV6245uoNIFRpenayKPQQsBZ4FNgI7gUrgSGAm8EGgb1bfJaTuWChJktRjWbwnSZJUIIk5iT/Eq+PnArcDvdOPeelHS7YDZyXmJJa08y3qgU8AC0klAr+UfrTkdeC0xJzElnaO3abEnMS/xavj24D/TO86ALgo/egu+jXZHgK8pwP91+UwFkmSJEmSJBVArCb5h2RVrMM5ulhNcr/l6GI1yZzk6GI1yX9LVsW6e44uozfwvvSjPeYDF8Zqkjv2X0iSJEn7n8vmSpIkFVBiTuIXwHjgV8CeVprtJrUEx7sScxL3d3D814ET0v1rW2hSB9wJHJuYk3i+I2O3473/i9RVu39Mv09r3gJuBjr02SRJkiRJkqRciNUkO5Sji9UkO5THitUk252ji9Ukc5qji9Uku3uO7pfp9325HW1rgd8As2M1ybNjNcmt+zUySZKkPAhRFBU6BkmSJAHx6vhAYBZwCDAQ2EQqafVwYk5iWzvHOJdUog9gXWJOYmTWsWFZ41cArwJ/ScxJrM/RR2grrkHASen3HkIq2fkGqSUwVibmJNpKHEqSJEmSJEl5kayKtZqji9Uk25WjS9/JryFHF6tJjsw61mKOLlaT3O85umRVrM0cXawmWdAcXbIqNgI4htTyvUNI3Y1vG6nCwhrg6XYuVSxJktRjWLwnSZJURNoq3pMkSZIkSZK0/7VVvCdJkiRlc9lcSZIkSZIkSZIkSZIkSZLyzOI9SZIkSZIkSZIkSZIkSZLyzOI9SZIkSZIkSZIkSZIkSZLyzOI9SZIkSZIkSZIkSZIkSZLyrGiK90LKjBDCt0MIj4UQNoUQdocQ1oYQ7g0hnLKP/lNDCL8JIfwjhPB2COHZEMLXQwgH7KPfqBDCjSGEV0MIu0IIr4QQfhxCGJXbTyhJkiRJkqT9JYRwegjhwRDCxhDC9hDCEyGEz4UQOpQ/CyEMCiF8NITw3RDCwhDCjhBCFEJ4sJ39zTVJkiRJkiSpZJVani5EUZTL8QomhPBPQOaHWw88D2wHxgL90/uvjKLo6y30/ThQDZQDrwHrgWOACmA5MCuKoh0t9DsaeBQYAmwGXgCOBAYCbwIzoiiqydFHlCRJkiRJ0n4QQrgc+J/05hpgG6ncUBnwW+DDURTVt3OsDwG/auHQQ1EUnbaPvuaaJEmSJEmSVLJKMU9XNHfeAwKpgr3PAMOiKDoqiqLjgaHs/aV+LYTwgUadQjgMuJlU4d6XgdHpfmOBvwETgf9t9mYhlAO/IPVLuhc4OIqiE4BRwPz0+97d0apPSZIkSZIk5U8IYSrwTVIXg54XRdGRURRNAI4H1gFnAJd2YMi3gUeA7wD/DPxHO+Mw1yRJkiRJkqSSVap5umK6894AYEcURXtaOf4H4H3Ab6MoOjNr/w9JFfzdH0XRe5r0mQYsAmpJFfWtyzp2DnAPqWrKw6Mo2pp1rBJ4kdQv66woilqq4pQkSZIkSVKBhRDuA04Hboyi6OImx84D7iCV/zkoiqLaTox/IXAL+7ii11yTJEmSJEmSSlmp5umK5krdKIq2tFa4l/ZA+nlcZkcIIQAfTm/e3MKYi4EaUsvnntnk8Fnp53uyf0npfltJVWACnNOuDyBJkiRJkqS8Sl8MmknUNcsNkcrvbCGVjDtlP4djrkmSJEmSJEklqZTzdEVTvNcOB6Sf387adyhwUPr1olb6ZfZPbrJ/Sif7SZIkSZIkqXs4DugN7ASeaHowfQXv8vTm/s7xmGuSJEmSJElSqSrZPF1JFO+l77CXqXbM/sGOTT/vAta20n1Nk7aEEHqTKvzLPt5av8NCCBUdCliSJEmSJEn5kMn3vNLGig7NckO5Zq5JkiRJkiRJJa5k83S9ujpADzGPVIXmbuB7WfsHp583RVEUtdL3rSZtAQayt/DxLVqW2V8GDCC1DnKnhBAysdV1dgxJkiRJkqQiUp5+fq21BlEUHdKOcTL5ntbyO9nHBrfRpqvymmtS55mnkyRJkiRJasQ8XRfzdEVfvBdCOB74v/Tm16IoeiHrcGYp3d1tDLEr/dy3hX5t9d2V9bpvK206pKysrHzfrSRJkiRJkopbfX19robqbG4o1wqSa1LnmaeTJEmSJEkyT5eLWIq6eC+EcDjwe1I/2J8D32nSZGf6uXcbw/RJP7/dQr+2+vbJev12K23aq66srKy8rq7nX9C74NUFhQ4h52aNnlXoEFRi/HckSZIkqdSVl5dTX19f186rdtvS2dxQruU716TOK5o8nSRJkiRJUleZp+t6LGX7btIzhRBGAg8ABwH3ARe2sDRu5jaGg0IIoZWhWrot42agvsnx1vrVA1vaG7ckSZIkSZLypj1LbbRnyY6uMtckSZIkSZKkUlayebqiLN4LIQwhVbh3JPAwcE4URbUtNF2dfu4DHNzKcEc0aUsURbuBV5ocb63fS628tyRJkiRJkgork+85NITQ2goVzXJDuWauSZIkSZIkSSWuZPN0RVe8F0LoD/wBOAZYDnwwiqLWblH4CvBG+vX0Vtpk9i9tsn9pk+Pt7SdJkiRJkqTu4UmgFjgAOL7pwRBCBTAxvbm/czzmmiRJkiRJklSqSjZPV1TFeyGEPsBvgMnAKuC9URRtba19ehndX6U3P9XCeNOAKlL/cfy2yeH56ed/DiFUNulXCZyT3vxlBz+GJEmSJEmS8iCKoi3Ag+nNZrkhUvmdAcCbwIL9HI65JkmSJEmSJJWkUs7TFU3xXgihHLgLOBV4AXh3FEUb29H128BuYHYI4d9DCCE93juBn6bb3BRF0RtN+t0L1ABDgVtCCP3S/Q4Ebknvfwb4dZc+mCRJkiRJkvanq4AImBtC+FhmZwhhAnBNevN/00tmZI59JITwUghhYQ7jMNckSZIkSZKkUlaSebqQuvlcz5f+pf08vbkaWN9K09ejKDone0cI4QJSP9wy4LV032OACmAFcHIURdtbeM9jgEeAwcBm4HlgDDAQ2AicFEXRs137ZBBC2FNWVlZeV1fX1aEKbsGrCwodQs7NGj2r0CGoxPjvSJIkSVKpKy8vp76+vi6Kol65GC+E8FXgyvTmGmAbqdxQGXAfcGYURXVZ7S8klUt6OYqiw1oYb0PWZh+gP6mVHbZk7f9sFEV3NemXl1yTOq+Y8nSSJEmSJEldZZ6u64rmznukfsAZY0mtL9zSY2LTjlEU3QqcBPwe6AscTeo/gCuAGS0V7qX7PQNMAG4i9R9LPP38E2CCyVRJkiRJkqTuL4qiq4APAn8hdeXsGCABfJEmCcF2Gpr16J/eV9Fk/wEtxGGuSZIkSZIkSSWrFPN0RXPnvWLWlSt6oyiirq6O7vJ7Xrx2caFDyLlpB08rdAjKoRAC5eXlpFfQ7pa8854kSZK6orvNE1W6ujL/yvUVvVJ7dTZP57lX6piekKOTJEmSusq5oroL83SF5Q+uCEVRxFtvvcW2bdvYsWNHtzrR993dt9Ah5NzzO54vdAjKsfLyciorKxk2bBgVFRWFDkeSJEnKidraWjZs2MDWrVtxuUd1FyEE+vXrR//+/Rk8eLBFGio6nnulzvM7QpIkScWoO9dzqLQ5Bysci/eKTH19Pa+99hrbtm0rdCgt6lfRr9AhSPtUV1fHpk2b2LFjB4ceeqgFfJIkSerxamtreeWVV9i9e3ehQ5EaiaKI7du3NzxGjRpFWVlZocOScsJzr9Q1fkdIkiSp2HT3eg6VNudghWPxXpHZuHFjw4l+4MCBVFZW0qdPn25TEbuttvi+hPpX9N93I/UY9fX1bN++nfXr17N79242bNjAQQcdVOiwJEmSpC7ZsGEDu3fvJoTA8OHDOfDAA028qOCiKGLXrl1s3bqVzZs3s23bNjZu3MiwYcMKHZqUE557pc7zO0KSJEnFqLvXc6h0OQcrLIv3ikjm9qoAQ4YMYcSIEQWOqLleRbjEtXdlKz59+vQBYN26dWzdupWRI0f6B5MkSZJ6rCiK2Lp1KwDDhw9nyJAhBY5I2qt3795UVlZSXl7Oxo0beeuttxg6dKhzMPV4nnulrvM7QpIkScWkJ9RzqLQ5ByscL/UsIvX19ezZswdIVWlL6rwDDzwQSC2hW1dXV+BoJEmSpM7L/ps283eu1N1k8hh79uyhvr6+wNFIXee5V8odvyMkSZJUDKznUE/hHCz/LN4rItn/aMrLywsYidTzZS9jE0VRASORJEmSuib771mXa1R3lZ3HMCmoYuC5V8odvyMkSZJUDKznUE/hHCz/zBxJkiRJkiRJkiRJkiRJkpRnFu9JkiRJkiRJkiRJkiRJkpRnFu9JkiRJkiRJkiRJkiRJkpRnFu9JkiRJkiRJkiRJkiRJkpRnFu9JRWDPnj2EEOjVq1ehQ5EkSZIkddGDDz5ICIHTTjstJ+M5Z5Sk/PGcK0mSJEnFwzyd8sHiPZWU1c+tZkCfAQw8YCBvvvlmi23uuO0OBvQZwIA+A/jVvb9qsc3ra19vaPPSSy/tx4jz56mnnuLzn/888XicwYMH07t3b0aOHMns2bP5v//7PzZu3FjoEDtl/vz5XHHFFTz99NOFDkWSJElSN/Xcc88RQqCsrKzVuWJ1dTUhBEII/OIXv2ixzdq1axvaFMtc8ZprruGKK65gy5YthQ5FUpHx3Ns683SSJEmSSpVzxdaZpytelnKWqAWvLijI+7695+1O950xakaX33/suLEMHzGc9evWs3TxUk7/4OnN2jy2+LGG14sXLubDZ3+4WZvFixYDMOqQURx22GFdjquQ9uzZwxe+8AV+9KMfEUURFRUVjBkzhv79+7Nu3ToeeOABHnjgAb7xjW9w7733csoppxQ65A6ZP38+d9xxB2PGjGH8+PGFDkeSJEnqtuLV8UKH0GGJOYmcjDNu3DhGjBjBunXrWLRoEWeccUazNgsXLmx4/eijj3LOOec0a/Poo48CcMghh3RprnjggQdy1FFHceihh3Z6jFy55ppreO2115g7dy4DBgwodDhSUdr6l78WOoQOqTw1N7mh7nbu7Q7M00mSJEkCSFbFCh1Ch8VqkjkZp7vNFc3TKR+8855KzrTp04C9BXhNLVm0hEGDBjFo0CCWLFrSahuAqdOn7p8g8+jcc8/l+uuvZ8CAAVx33XW8+eabPPvssyxbtoyXX36ZNWvW8OUvf5mdO3eyatWqQocrSZIkSfvFSSedBOxN7DW1cOHChrliW22yx+qsqVOnUlNTw09/+tMujSNJ3V13Ovd2B+bpJEmSJKl7zRXN0ykfLN5TyckU3C1Z3Lww780Nb/Lc355j0pRJTJw8kWcSz7R4y9FM8d70GdP3b7D72Q033MC9997LgQceyIIFC/jsZz9LZWVlozaHH3443/rWt1i2bBlHHHFEgSKVJEmSpP0rk8jLvnI3Y8OGDdTU1DBt2jSmTp3K008/3eJcMZMsnDlz5v4NVpKKhOfevczTSZIkSVKKc0WVGov3VHKmzUjdeW/lEyvZsWNHo2PZd9SbMm0K9fX1LF2ytFGbLVu2sOqZVY3GyrZhwwYuu+wyjjrqKPr27cvgwYM55ZRTuPPOO1uM56abbiKEwNy5c9m2bRtf+cpXGDt2LH369OG0005r1Papp57ijDPOYPDgwVRWVjJlyhTuueeeTv0c9uzZwze/+U0ArrjiCo499tg22x9zzDGcfnrzZYYXLlzIhz/8YUaMGEGfPn0YPXo0c+bM4W9/+1uL4xxyyCGEEPj73//e4vEZM2YQQmj2RZy9/9lnn+Xss89m2LBh9O3blxNPPJF77723Ufvnn3+eEAJ33HEHAOeff37DmvYhBK688so2P68kSZKk0pJJCq5YsaLZXDEzP5kxYwbTp0+nvr6exYsb3819y5YtJBKJRmNl1NbWcv311zN9+nQGDRpE3759icVi/Od//idbt25tFsuDDz5ICKHZnDDj8ccf5wMf+EDD3HDatGnMnz+fPXv2EEKgV69ebX7W3//+95x00klUVlYycOBATj/9dJ566qlGbTJz1ddeew2A0aNHN5pTZc/ZHnnkET70oQ8xcuRIKioqGDp0KEcffTTz5s1j2bJlbcYiqbTtz3MvmKczTydJkiSpJzJPZ56u1Fi8p5ITHx9n4MCB1NbW8viyxxsdy9yNb+q0qUydlr5DX5Olc5cuWUp9fT1Dhg6hKlbV6Nhzzz3Hsccey3e/+11eeukljj76aAYPHsyCBQs477zz+OQnP9lqXDt27GDGjBl861vfonfv3hx99NH07t274fhf//pXJk+ezO9+9zvq6+upqqripZde4qMf/SjXXntth38Oixcv5tVXX6V3797MnTu3w/0BfvCDHzBz5kx+/etfE0Jg/PjxbN26lVtvvZXjjjuOP/3pT50aty3Lli1j0qRJPPjggxx22GH079+fFStW8JGPfIS77rqroV3fvn2ZPn0673jHOwAYN24c06dPb3h0hzXpJUmSJHUfEyZMaJgrLl3a+CKu7KTgjBkzgObLdixevJj6+vqGhFjG5s2bOeWUU7jkkkt47LHHGDx4MGPGjGHNmjX893//N1OnTmXDhg3tjvPPf/4z06dP57777iOKImKxGC+++CJnn30211133T77//CHP+SDH/wgL7zwAmPHjmXPnj388Y9/ZObMmaxevbo/Oey5AAAgAElEQVSh3ciRI5k+fXrDvHTixImN5lQDBw4EYP78+Zxyyin85je/oa6ujgkTJjB8+HBeeeUVbrrppk4XskgqDfvr3Avm6czTSZIkSeqpzNOZpys1Fu+p5JSVlTFpyiSg+dK5ixctpnfv3hx/4vGcMPEEKioqmrVpuDvftKmEEBr219fXc+655/Laa69x6qmn8ve//50VK1awZs0a7rvvPvr168ctt9zCT37ykxbjuueee9i1axfJZJJVq1bx5JNPMn/+fAC2bdvGJz7xCXbt2sVFF13EG2+8wfLly1m7di3/+7//y1e/+tUO/xwy1efjx49n0KBBHe6/YsUKvvjFLxJFEd/97ndZu3Yty5cv54033uDiiy/m7bff5rzzzmP9+vUdHrstl19+OXPnzmXdunU8/vjjrF+/nn/7t38D4Mtf/jL19fUAjBo1ioULFzJ79mwAvv71r7Nw4cKGxwUXXJDTuCRJkiT1bGVlZUyblrq7etM7DD366KP07t2biRMnMmnSJCoqKlpsA3vvRpQxd+5cFi1axOzZs3n++ed58cUXSSQSvP7665x55pmsWrWKz33uc+2KcfPmzVxwwQXs3r2befPm8cYbb7Bs2TLWrl3L9773PS6//PI2+9fV1fHlL3+ZW2+9lbVr1/LEE0/w+uuvM2vWLLZs2cI3vvGNhrYf+MAHWLhwYUOhxfz58xvNqeLxOABf/epXqa+v58Ybb2yYpyWTSbZu3cpDDz3EKaec0q7PJqk07a9zr3k683SSJEmSei7zdObpSo3FeypJmeVuFy/ce/vUHTt28PTKpznuhOM44IAD6Nu3LxOOm8CK5SvYvXt3Q7tMMd+06Y2XzL3//vt58skn6du3L3fddVfDiRPg9NNP52tf+xoAV199dYsx1dXVcdddd3HUUUc17DvggAMAuOOOO1i7di2jR4/mxhtvpG/fvkDqS+vf//3fefe7393hn0HmlqqHH354h/sCfPvb36auro6zzz6bSy+9lLKysoaYr7/+eqqqqnjrrbe44YYbOjV+a+LxONdee23DzyaEwFVXXcU73vEOXn31VVatWpXT95MkSZJUOjLLaGRfrbtjxw6efPJJTjzxxIa54vHHH8+yZcsazRUzScLspTiefPJJfvnLX3L44Ydz7733Npp/DRkyhNtvv51Ro0Zxzz33NMzR2nL77bezfv163vWud/GjH/2o0bzoC1/4Auecc84+x7j44os5//zzG7YHDBjANddcA8Af//jHffZvavXq1QwbNox58+Y1zAszMZ166qm8//3v7/CYkkpLrs+9YJ7OPJ0kSZKkns48nXm6UmLxnkpSpvBu+dLl1NXVNbyura1tWC4XYMrUKezcuZMnHn8CgN27d7Ni+YrUGCc1L94D+OhHP9ooIZjxmc98hoqKCtasWcPzzz/f7PiECROYMGFCi/H++c9/BmDevHktron+mc98pu0P3ILMeu0HHnhgh/sCPPDAAwAtVp6XlZU17M/8XHLlU5/6VKPqeIA+ffowfvx4ANasWZPT95MkSZJUOjIJvSVLljTMFR977DFqa2sbluEAmD59Ojt37mT58uVAaq64bNkyAGbOnNnQLnOXpnPPPZf+/fs3e7/+/ftz6qmnUl9f32x5j5Zk5mEXXHAB5eXlzY5fdNFF+xyjpeUYjz32WCoqKti4cSObN2/e5xjZRo8ezcaNG/nLX/7SoX6SlJHrcy+Yp8tmnk6SJElST2SezjxdKbF4TyXp+BOPp0+fPmzbto2nn3oa2HtHvUbFe9OmNDr25Ion2blzJ/3792fCsY0TeM899xxAozXTsw0cOJBRo0Y1apstFou1Gm+mfWtt2urbmsrKSgC2b9/e4b4bNmxg48aNQOuf913vehfQ8mftiiOPPLLF/cOHDwdSS5dIkiRJUmdMnDixYa64cuVKYO+Vuk2TgtnHHn/88Ya54nHHHdfQLpFIAPDLX/6SGTNmtPjIJNPac0Xv6tWrARqKIppqbX9GCIEjjjiixf3Dhg0DOj6n+tKXvkR9fT3/9E//xMSJE/nKV77Cfffd59xMUrvl+twL5umaMk8nSZIkqacxT2eerpRYvKeS1KdPH06YeAKwd+ncJYuWEEJg8rTJDe0yhXzZbQAmTp7Y7MrazAkvk5xqyYgRI4C9V9Nma+vK2szYLV0pnD1uR2QSlC+++GKH+2biKSsra/jiaC2mlj5rV7T2c8rc9jWKopy+nyRJkqTS0adPHyZNmgTsXZJj4cKFhBAaEoGwN0GY3QZg6tSpjeaKmatjV69ezaJFi1p8ZJKBb7/99j7jyxR1ZIo8mmptf0ZZWVnDEh4tHYOOz6k+//nP87Of/Yzx48fz+OOPc/XVV/OBD3yA4cOH8+lPf5otW7Z0aDxJpSfX514wT9daTObpJEmSJPUU5unM05USi/dUsjJL5y5ZlLrN6vKlyzmq6iiGDBnS0OYdw9/BEUcewdIlS4miiMWLUkV802ZMazZe5taq69evb/U9161bB+z7RN3a2P/4xz9aPN7We7Zm2rTUZ3j66afZtGlTp+Kpr69nw4YNLbZp7bNmltJo7YumM1cYS5IkSVKuZJbkePTRR6mrq2PJkiXEYrFGc8Xhw4czZswYFi1aRBRFDcnBTN+MzNzplltuIYqiNh9f+9rX9hlbpkiitatlc12U0V5z5szhqaeeYu3atdx555188pOfpKysjB//+MdccMEFBYlJUs+Sy3MvmKdryjydJEmSpJ7IPF3HmafrmSzeU8nKFOAtWbyEp596mm3btjVaMjdj6vSpbNq0iVXPrGLpY0tTfac3L94bN24cAM8++2yL77d58+aGSu1M2/bKtK+pqWnxeDKZ7NB4kEoKjh49mt27d3PTTTd1qO+wYcMavhBb+7yrVq0Cmn/WzJdYawnOF154oUOx7EsmCSlJkiRJ7TFz5kwgdZXuypUr2bZtW6OlODJmzJjBpk2bSCQSLF6cutCraVIws3zhM888k5PYMvOrp59+usXjmeU/cqkjc6qDDjqIc889l5tvvpnHHnuMEAK/+c1vWp3/SVJGLs+9YJ6uKfN0kiRJknoi83SNmacrXhbvqWRNnjqZ8vJy/rH+H9x6y60ATJk+pVm7KVNT+26+8Wbe2vgWvXv35sRJJzZr9573vAeAu+++u8UT3o9+9CNqa2s58sgjGTNmTIdinT17NgA33XQTdXV1zY5ff/31HRoPoFevXlx++eUAXHHFFQ3rxLdm1apV/OEPf2gW03XXXdesbRRF/OAHPwD2/lwyMuu2L1++vFm/u+++O+cV6H379gXad2tbSZIkSZo2bRrl5eWsX7+em2++GaDFpGBmeY4bbriBjRs30rt3byZPntyozVlnnQXAbbfdxsaNG7sc27vf/e6G8err65sd/9nPftbl92iqs3OqY445puGK5rVr1+Y8LknFJZfnXjBPl808nSRJkqSeyjxdY+bpipfFeypZlZWVxMfHAbjj1jsAWrzzXqZ4L9PmuBOOazgpZps9ezbHHXccb7/9Nh/72McaLVPxpz/9iSuvvBKgIRHXER//+McZOXIkL7/8Mp/+9KfZuXMnkFoO47vf/S73339/h8cE+Nd//Vc+9KEPsX37dmbNmsUPf/jDZkm5V155hf/4j/9g4sSJrFmzpmH/ZZddRnl5Offeey/f+973Gr6Qdu3axWc/+1mSySSDBw/m4osvbjTe+973PgCuvvrqRlfvLl26lC9+8YtUVFR06rO0JpOEfOSRR3I6riRJkqTiVFlZyYQJE4DUMhrQdlIw0+bEE09sNlecPHkyZ511FuvXr2f27Nk89dRTjY7v2bOHv/71r3zsYx9rsQCkqY9//OMMHz6cRCLBJZdcwq5du4C9hRl33313Bz/tvmXmVA8//HCzYxs3buS8887jkUceaZSkrKur49prr2Xr1q1UVlYyduzYnMclqbjk8twL5unM00mSJEkqBubpGjNPV7ws3lNJmzo9Vay3c+dODjr4IA47/LBmbcZVjWPI0CENibjpM6a3OFYIgbvuuouDDz6Yhx56iEMOOYQTTzyRI488kve9731s376diy66iLlz53Y4zsrKSm677Tb69OnDTTfdxMiRI5k0aRKjRo3isssu46qrrurwmJmY77nnHi6++GK2bNnCZz/7WYYOHcq73vUuJk+ezGGHHcY73/lO/ud//od+/foRj8cb+p5wwglce+21hBD40pe+xKhRo5g0aRIjR47k+uuvp2/fvvz85z9n+PDhjd5z7ty5VFVV8dJLLxGLxRg/fjxHHXUUU6ZM4bTTTmPSpEmd+iytOeuss6ioqOD222/n8MMPZ+bMmcyaNYvbbrstp+8jSZIkqXhkltXYuXMnBx98MIcffnizNlVVVQwdOrRhrphZxqOpW265hVNPPZUVK1Zw7LHHcthhhzFlyhTi8TiVlZWceuqp3HXXXURRtM+4Bg4cyK233kpFRQU33HBDo7nh5z73Ob75zW8CUF5e3tmP3sxHP/pRAP7lX/6F8ePHM2vWLGbNmkUikaC+vp4777yTk08+mYEDB3LssccyceJERowYwaWXXkoIge9///v069cvZ/FIKl65PPeapzNPJ0mSJKk4mKfbyzxd8bJ4TyVt2oxpDa9buusepBJnk6fsvaVqpuCvJePGjWPlypVceumljB49mmeeeYYNGzZw8sknc8cddzTcyrUzTjvtNJYsWcL73/9+AJ599lne+c53cvfdd/OlL32p0+NmvkyeeOIJLrnkEsaNG8drr73Gk08+yc6dO3n3u9/N97//fV544QVOPvnkRn0/97nP8fDDD3PmmWeyZ88eVq5cSb9+/Tj//PN54okneO9739vs/fr27cuCBQu46KKLGDRoEM899xzl5eVcc8013HrrrZ3+HK0ZN24cv/3tb5k5cyYbN25k4cKFPPzww7z88ss5fy9JkiRJxSGTFISWr+aF1Fxx2rS9c8rsPtkGDBjA/fffz2233cbs2bPZvn07TzzxBBs3buTYY4/l8ssv5/HHH6dXr17tiu0973kPixcv5vTTTyeKIp599lkOPfRQ7rnnnoYilMrKyvZ+1H268MILufbaaznmmGNYvXo1Dz/8MA8//DCbN29m0KBB3HrrrXziE5/gkEMO4aWXXuLZZ59l2LBhnH/++axcuZILL7wwZ7FIKm65PPeCeTrzdJIkSZKKgXm6vczTFa/QnopRFVYIYU9ZWVn5vm7NWVtby/PPPw/AmDFjcr6sQS5s3b113416mMreuTvZqvvozv+eFry6oNAh5Nys0bMKHYIkSVLR6s5/2yq3li5dypQpUzjhhBN4/PHHCx1Oh3T0v9Py8nLq6+vroihqXzZVypFiytNJPYX/niRJklQM/Lu2tJinU0d45z1JkiRJkqQicMsttwAwffr0AkciSZIkSZIklS7zdOoIi/ckSZIkSZJ6iIceeoh77rmH3bt3N+yrra3lO9/5DjfeeCPl5eXMmzevgBFKkiRJkiRJxc88nXLFWxZKkiRJkiT1EC+++CLz5s2joqKCI444gsrKSv72t7+xdetWAK6++mqOOeaYAkcpSZIkSZIkFTfzdMoV77wnSZIkSZLUQ5x88slccskljB07lvXr17Ny5Ur69u3LGWecwYMPPshll11W6BAlSZIkSZKkomeeTrninfckSZIkSZJ6iLFjx/KDH/yg0GFIkiRJkiRJJc08nXLFO+9JkiRJkiRJkiRJkiRJkpRnFu9JkiRJkiRJkiRJkiRJkpRnFu9JkiRJkiRJkiRJkiRJkpRnFu8VkbKyvb/Ourq6AkYi9Xz19fUNr0MIBYxEkiRJ6prsv2ez/86VupPsPEZ2fkPqqTz3Srnjd4QkSZKKgfUc6imcg+WfP+UiUlZWRq9evQDYvHlzgaORerbt27cDUF5eTnl5eYGjkSRJkjov+2/azN+5UneTyWP06tXLpKCKgudeKXf8jpAkSVIxsJ5DPYVzsPzrVegAlDshBAYPHsw//vEPNm7cSF1dHZWVlfTp06fb3Dlsz549hQ4h52pDbaFDUA7V19ezfft21q9fD0BlZWW3+fcjSZIkdUYIgcrKSjZt2tTwd+6BBx5o4kUFF0URu3btYuvWrQ1JwcGDBzsHU1Hw3Ct1jd8RkiRJKjY9oZ5Dpcs5WGFZvFdkhgwZwttvv822bdvYvHlzt6vYrouK7/av5cG7shWr3r17M2zYsEKHIUmSJHXZsGHD2LFjB7t372bdunWFDkdqUf/+/RkyZEihw5ByxnOvlDt+R0iSJKkYdPd6DinDOVh+WbxXZMrKyjjkkEPYtGkTW7duZceOHURRVOiwGuyo3VHoEHKusndloUNQjpWXl1NZWcmwYcOoqKgodDiSJElSl1VUVHDooYeyYcMGtm7dSl1d8V1YpZ4phEC/fv2orKxk0KBBXs2rouK5V+oavyMkSZJUbLp7PYdKm3OwwgmeCLq/EMKesrKy8s4k+KIooq6urtuc8BevXVzoEHJu2sHTCh2CciiEQHl5ebf+Ilrw6oJCh5Bzs0bPKnQIkiRJJaO7zRNVuroy/yovL6e+vr4uiiIvTFVedTZP57lX6piekKOTJEmSusq5oroL83SF5Q+uyIUQ6NWr+/yao7Li+9LxzmySJEmSepLuNk+UpFLguVeSJEmS1JRzRUkAZYUOQJIkSZIkSZIkSZIkSZKkUmPxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeWbxniRJkiRJkiRJkiRJkiRJeVY0xXshhMNDCPNCCD8JITwVQtgTQohCCF9ro0/UzsecJv0ubEef9+7/Ty1JkiRJkiRJkiRJkiRJ6ol6FTqAHPpC+tERi9o4Nhg4Ov36sVbarAdWt3LsrQ7GIkmSJEmSJEmSJEmSJEkqEcVUvLcB+D2wDFgOzAXObqtDFEUzWjsWQriSVPHesiiK/tZKsz9GUXRhp6KVJEmSJEmSJEmSJEmSJJWsoinei6LoyuztEMK5nR0rhBCAj6c3b+tKXJIkSZIkSZIkSZIkSZIkNVVW6AC6qZOAw4Ba4K7ChiJJkiRJkiRJkiRJkiRJKjZFc+e9HPtE+vlPURRtaKPdhBDCz4GRwBbgSeD2KIpe2N8BSpIkSZIkSZIkSZIkSZJ6Lov3mggh9AHOSW/ua8ncY9OPjDOBr4cQ/iuKoqv2R3ySJEmSJEmSJEmSJEmSpJ7PZXOb+yAwCNgM/K6VNpuA64DpwAjgAOA4UsV+5cCVIYTP7v9QJUmSJEmSJEmSJEmSJEk9kXfeay6zZO4voija2VKDKIp+Dfy6ye6VwAUhhDeBL5Iq4KuOomjr/gtVkiRJkiRJkiRJkiRJktQTeee9LCGEocDp6c1bOznMfwG7gIHAqbmIS5IkSZIkSZIkSZIkSZJUXCzea+yjQAXwErCwMwNEUbQFWJXeHJObsCRJkiRJkiRJkiRJkiRJxcTivcYyS+beHkVR1IVxatPPLkssSZIkSZIkSZIkSZIkSWrG4r20EMKRwNT05u1dGKccOCq9+feuxiVJkiRJkiRJkiRJkiRJKj4W7+11fvp5WRRFf+vCOJ8CBgF1wIKuBiVJkiRJkiRJkiRJkiRJKj4W7+318fTzbW01CiEMCCHcGUKY1GR/eQhhHvB/6V03R1H02n6IU5IkSZIkSZIkSZIkSZLUw/UqdAC5EkKYDvwma1f/9PNXQghfzNp/XBRFrzbpOxUYA9QCd+3jrcqAc4FzQwibgBeBPcBYUnfcA/gj8IXOfA5JkiRJkiRJkiRJkiRJUvErmuI9oAIY2sL+fulHRnkLbTJL5v4piqIN+3if7cCXgWnAMcCRQF/gTeA+4FbgF1EURe0PXZIkSZIkSZIkSZIkSZJUSoqmeC+KogVA6GTfzwCfaWfbWuDbnXkfSZIkSZIkSZIkSZIkSZIgtQSsJEmSJEmSJEmSJEmSJEnKI4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSJEmSJEmSJEnKM4v3JEmSJEmSVPJCCKeHEB4MIWwMIWwPITwRQvhcCKFT+bMQQiyEcEcI4fUQws4QwgshhO+EEAbto9+ZIYQ/hhDWhxBqQwhvhRAeDiF8qrOxSJIkSZIkST1FqeXpTPhJkiRJkiSppIUQLgfuA/4JeAt4HpgAfB/4VUeTcSGEU4AVwHlAObAKGAn8G7AihDCilX7fA34NvDe962lgBzATuAn4tQV8kiRJkiRJKlalmKcz2SdJkiRJkqSSFUKYCnwTqAfOi6LoyCiKJgDHA+uAM4BLOzBeJXA30JdUUnFUFEUnAIcCi4AjgJtb6DcD+AIQAZ8CRkRRdEIURaPSMewCPghc0MmPKkmSJEmSJHVbpZqns3hPkiRJkiRJpexrQABuiqLozszOKIqeYm8y8PIQQkU7x/s08A4gCVwaRVFterw3SV3huwd4fwjh+Cb93p9+/lUURT+NoijKiuV3wI/Sm+9r9yeTJEmSJEmSeo6SzNNZvCdJkiRJkqSSFEIYAJyW3mx2lS3wC2ALMBQ4pZ3DnpV+/lkURXXZB6IoegV4ML35kSb9+qaf17Qy7gvp517tjEOSJEmSJEnqEUo5T2fxniRJkiRJkkrVcUBvYCfwRNOD6atxl6c3J+9rsBBCL+CE9OaiVppl9jcd7+n089RW+k1PPy9v5bgkSZIkSZLUU5Vsns7iPUmSJEmSJJWqsennV6Io2tNKmzVN2rblMCCzbEdrV+a2Nt4dpJbwmB5CuCmEcFQI4YAQwuEhhKuBc4Ea4IftiEOSJEmSJEnqSUo2T+cyG5IkSZIkSeqJykMIf2/tYBRFh7RjjMHp57faaJM5NriNNk3Ha2vMFseLomhXCGEG8D/AJ4BPZR2uA74LXBVF0dZ2xCFJkiRJkiTli3m6LvDOe5IkSZIkSSpVB6Sfd7fRZlf6uW8HxmtrzLbGGwEcDPQhlTx8ElgPlJO6ovd97YhBkiRJkiRJ6mlKNk/nnfckSZIkSZLUE9W186rdtuxMP/duo02f9PPbHRgvM+bOFtq0OF4IIQYsBgYAnwFujKIoSh87G7gVuCOEUBtF0S/aEYskSZIkSZKUD+bpusA770mSJEmSJKlUtWepjfYs2dF0vLbGbG28q4BBpJKBP84kBAGiKLoXuDK9eSWSJEmSJElScSnZPJ3Fe5IkSZIkSSpVq9PPh4YQWluh4ogmbdvyElDbpF97x5uRfn6olX4Ppp/HhRAq2xGLJEmSJEmS1FOUbJ7O4j1JkiRJkiSVqidJJfEOAI5vejCEUAFMTG8u3ddgURTtAZ5Ib05vpVlmf9Px9pXoC1mvD9hXLJIkSZIkSVIPUrJ5Oov3JEmSJEmSVJKiKNrC3itlP9VCk3OAAfD/s3fn0bZV9Z3ov/PSI6iITUojUUTcS1zYRS1FrWjUofGpUWwwVnLUiGUqzybmxVKfJpbBaGmpr6KvQux3UrFsgk09IiYVDaWCwxi1cBvXsUMEe0EMiNLe+f7Y614Oh3PuPfeevfdp9uczxh7rrLXmnOu374B/vuO318wlSc5e47If6I9PL6UcsPRGKeWYJA/rT89YNm/XL3x/dZV1d837cZKL11gLAAAAAGx685zTad4DAAAAYJ69KklN8qxSylN3XSyl3D3JG/rT19Zar15y74mllAtKKZ9aYb3TMw7tmiRv6H8VnFLK0UneneTAJGfVWj+3bN5f9cdnl1L+XSll9y94SyknJ/m/d42rtdb9/K4AAAAAsFnNZU6neQ8AAACAuVVrPSfJyzPOyd5dSvlGKeW8jLfVuE2Sv0ny+mXTjkjyS0l+cYX1LktySpIrkzwvyXdKKf+U5MKMt+K4IMkzVyjljUn+Z1/H6UkuKaV8rpTygyR/neTwJJ9L8rL1fF8AAAAA2IzmNafTvAcAAADAXKu1virJY5J8PMnRSY5LMkrygiSPq7Vet4/rfSzJLyd5T8a/Fm6T/CDjXwjfq9b6/RXmXJ3kUUlOzXjrj5rk7kkOTfLpJC9MclIfOgIAAADAtjOPOV2xy8bmV0q5dseOHQdcd4NSszoAACAASURBVN0+/fe3KZ190dkbXcLE/crtf2WjS2DO+P8IAACYdwcccEB27tx5Xa31wI2uhfmynXI6AAAAgPWS062fN+8BAAAAAAAAAADAjGneAwAAAAAAAAAAgBnTvAcAAAAAAAAAAAAzpnkPAAAAAAAAAAAAZkzzHgAAAAAAAAAAAMyY5j0AAAAAAAAAAACYMc17AAAAAAAAAAAAMGOa9wAAAAAAAAAAAGDGNO8BAAAAAAAAAADAjGneAwAAAAAAAAAAgBnTvAcAAAAAAAAAAAAzduBGFwAAAAAAwNbSDZqJr9ksdhNfEwAAAGAz8+Y9AAAAAAAAAAAAmLFt07xXSrljKeXUUspbSynnlVKuLaXUUsrL9jDnFf2YPX0Ge5h/u1LKW0opF5VSriqlXFhK+fNSyu2m8y0BAAAAAAAAAADYDrbTtrnP7z/746IkF65y72crXSyl3DXJJ5PcIsm/JPlSkjsleXaSk0spD6y1Lu5nPQAAAAAAAAAAAGxj26l57+IkZyb5xySfTfKsJCevce47aq2vWOuDSikHJHl/xo17ZyT5rVrrz0opN0nyF0mekOS9pZR71lp3rv0rAAAAAAAAAAAAMA+2TfNerfW0peellFOm+LgnJLlrkkuSPKPW+rO+hitKKU9P8m+SnJjkcUk+OMU6AAAAAAAAAAAA2IJ2bHQBW9QT+uP7aq2XL73Rn7+/P33STKsCAAAAAAAAAABgS9g2b95bp4eUUk5IcnSSH2e89e5f1Fq/v8r4f90fz1nl/jlJnpPkfhOtEgAAAAAAAAAAgG1B897Yg5edn5zkFaWUf19rfdfSG6WUg5Mc05+ev8p6u67foZRyUK31molVCgAAAAAAAAAAwJY379vmfi/JnyS5T8Zv3Ts8yUlJzkpyWJJ3lFIes2zOzXL9v9ulq6y76/qOJDedZMEAAAAAAAAAAABsfXP95r1a65+vcPncUsqjk5yR5PFJ3lhKObPWWvv7hy4Ze/UqS1+15O/D1l8pAAAAAAAAAAAA28m8v3lvRX2j3ov70zslOXHJ7SuX/H3wKkscsuTvn0+wNAAAAAAAAAAAALaBuX7z3p7UWr9aSvlxklskOS7Jef2tf0myM+PGx6NWmb7r+s4kl02zznnz3I8/d+Jrvumhb5r4mgAAAAAAAAAAAHvizXt7dk1/3N3kWGu9OsmF/emxq8zbdf2CWus1q4wBAAAAAAAAAABgTmneW0Up5ZZJbt2ffnvZ7c/0x5NWmX7SsnEAAAAAAAAAAACwm+a91b0wScl4m9zPLrv3gf745FLKkUtv9OdP6k//eqoVAgAAAAAAAAAAsCXNbfNeKeWEUsp/LaWcsOz6oaWUlyb5D/2l/9RvlbvUGUkWkxyd5J2llMP7uTdJ8s7++peSfGia3wEAAAAAAAAAAICt6cCNLmBSSiknJfnwkktH9MeXlFJesOT6PWutFyU5KMnvJPmdUsqPklzY32+SHN7//fYkr1n+rFrrdaWUJyX5RJKTkzyslPL1JMcluVmSHyd5Sq1150S+HAAAAAAAAAAAANvKtmney7gZ7+gVrh+e65vxkuSA/nhBkpcneUCSQZK7JDk4yQ+TfCTJ22qtf7vaw2qtXyql3D3JHyZ5VJI2yY+SvC/JK2ut317PlwEAAAAAgP3VDZqJr9ksdhNfEwAAAObZtmneq7WenaTsw/ifJDltnc+8KMmp61kDAAAAAAAAAACA+bNjowsAAAAAAAAAAACAeaN5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmDHNewAAAAAAAAAAADBjmvcAAAAAAAAAAABgxjTvAQAAAAAAAAAAwIxp3gMAAAAAAAAAAIAZ07wHAAAAAAAAAAAAM6Z5DwAAAAAAAAAAAGZM8x4AAAAAAAAAAADMmOY9AAAAAAAAAAAAmLFt07xXSrljKeXUUspbSynnlVKuLaXUUsrL9jDnnqWUV5ZS/lcp5eJSyjWllB+WUs4qpTx+D/Oe3q+9p88jp/NNAQAAAAAAAAAA2OoO3OgCJuj5/WdNSil3SvL5JZe+meSCJMcmeWSSR5ZShkmeWWvducoyP0zytVXuXbrWWgAAAAAAAAAAAJgv26l57+IkZyb5xySfTfKsJCfvYXxJ8r0k/0+Sv6y1fi9JSik7kvz7JH+aZCHJPyV58yprnFVrffokigcAAAAAAAAAAGB+bJvmvVrraUvPSymn7GXKt5McV2v92bJ1diZ5cynlhCTPSXJqVm/eAwAAAAAAAAAAgH22Y6ML2Ci11iuXN+4t83f98fhZ1AMAAAAAAAAAAMD82DZv3puCQ/vjz/cw5u6llHcn+YUklyX5QpL/Vmv9xrSLAwAAAAAAAAAAYOvSvLe6J/fHc/Yw5h79Z5fHJXl5KeWPaq2vmlplAAAAAAAAAAAAbGlzu23unpRSHpHk1/vT160w5CdJ3pTkpCS3yfgtffdM8pdJDkhyWinl/5xBqQAAAAAAAAAAAGxB3ry3TCnlmCR/1Z/+11rrJ5aPqbV+KMmHll3+30l+q5RySZIXZNzAN6y1Xj7VggEAAAAAAAAAANhyvHlviVLKLZKcleSWSc5O8sL9WOaPklyV5GZJHjqx4gAAAAAAAAAAANg2NO/1SilHJPlIkrsm+VySx9Zar9rXdWqtlyX55/70uMlVCAAAAAAAAAAAwHaheS9JKeWQJB9Ocr8kX07yyHVud3tNf7QtMQAAAAAAAAAAADcy9817pZQDk7wv4y1uz0/y8FrrxetY74Akd+lPv73+CgEAAAAAAAAAANhu5rp5r5RSkrwryWOTfDfJw2qt313nsr+d5OZJrkty9jrXAgAAAAAAAAAAYBua6+a9JP8lydOSXJxx49439zahlHLTUsp/L6Xcd9n1A0opp/ZrJsnba63fmXjFAAAAAAAAAAAAbHkHbnQBk1JKOSnJh5dcOqI/vqSU8oIl1+9Za72olHL/JM/tr/08yVvHL+K7sVrrA5ec7khySpJTSik/SfLNJNcmuXPGb9xLkrOSPH8dXwcAAAAAAAAAAIBtbDu9ee+gJEcv+RzSXz982fUD+uuHLJl7+yQn7eGz1BVJXpTkQxm/se9OSe6R5Mokf5PkKUkeXWu9cnJfDQAAAIBpKqX8Winl70spPy6lXFFK+Xwp5bmllP3Kz0opTSnlr0op3yulXFlK+UYp5T+XUm6+hrl3KaWcXko5v5/7476e15dSjtqfegAAAABgK5i3nG7bvHmv1np2kpVfnTeB8UvmXZPkdfs6DwAAAIDNqZTy4iSv7k/PT/LTJHdP8qdJHlZKeXytdec+rPeQjH/keViSHyX55ySDJL+f5PGllAfUWn+wytynJzk94x+eXppklPEOE3dJcs8k7+yvAwAAAMC2Mo853XZ68x4AAAAA7JNSyv2T/EmSnUl+o9Z6p1rr3ZPcK8kPkjw2yQv3Yb0jk7w340DwT5PcrtZ67yTHJDknybFJ3r7K3Ef2967MeHeHW9Za71NrbZLcLMnDknxvf74nAAAAAGxm85rTad4DAAAAYJ69LOPdGd5Wa/3vuy7WWs/L9WHgi0spB61xveckuVWSLskL+10cUmu9JMlvJLk2yaNLKfdaOqmUcnCSP+9reUKt9X1Lf0Vca7221vqxfh0AAAAA2G7mMqfTvAcAAADAXCql3DTjX8kmK//K9v1JLktydJKHrHHZJ/THd9Var1t6o9Z6YZK/70+fuMK8Y5J8rNb68TU+CwAAAAC2vHnO6TTvAQAAADCv7pnk4Iy3v/j88pv9r3E/25/eb2+LlVIOTHLv/vScVYbtur58vcf0xzNLKbctpbyylPKRUspZpZTXl1JO3NvzAQAAAGCLmtucbuLNe+2wfWk7bP/tGsc+rR22L510DQAAAACwBnfujxfWWq9dZcz5y8buyR2S7Nq24/xVxqy23q4w8cgkX0ry8iSPSvLIjLcF+UIp5cVrqGHudIPmpd2gWVMe2Q2ap3WDRh4JAAAAsLnMbU43jTfvnZbk2Wsc+6wkfzyFGgAAAADY3g4opXx7tc8a1ziqP166hzG77h21hzHL19vTmqut96/64x9m/AvjxyY5LMntkrw+4xzv1aWUx66hjnkjjwQAAADYOHK6ddjobXN3JKkbXAMAAAAA8+nQ/nj1HsZc1R8P24f19rTmauvdpD8elOTf1lr/v1rrlbXW79Za/68kH+zv/9Ea6mB18kgAAACAzWduc7oDJ7HIOtw+yeUbXAMAAAAAW891tdZfXOcaV/bHg/cw5pD++PN9WG/XmleuMGa19a7MOBj8Uq314yvMe2OSxye5VynlVrXWH62hHm5MHgkAAAAwWXK6dVh38147bO+W5MRll2/VDtvf2MO0w5I8OOP9hf/XemsAAAAAgP2wlq021rJlx/L1ds373j6sd2nGoeDiKmt3S/6+Q5K5bd7rBs2KeWQ3aOSRAAAAAFvT3OZ0k3jz3skZvwZw6XYTxyf5y73MK0muSfLqCdQAAAAAAPvqa/3xmFLKgbXWa1cYc+yysXtyQcZ510H9vJVCwdXW+0qSX8z123Ust/T6AWuoZTuTRwIAAABsL3Ob002iee+LSf5qyfnTMu4o/J+rjK8Zv27w/CQfGC2M1vIPCgAAAACT9oWMQ7xDk9wryT8uvVlKOSjJffrTz+xtsVrrtaWUzye5X5KTkpyzwrCTVlnv00l+NdeHhsstvf6dvdWyza0rj2wWO3kkAAAAwOYytzndupv3RgujDyb54K7zdtg+LclXRwuj31zv2gAAAAAwLbXWy0opf5/kUUl+O8tCwSRPSnLTJJckOXuNy34g41Dw6aWU19dar9t1o5RyTJKH9adnLJv3/iQvS3K/Uspdaq1fWXb/Gf3x67XWi9ZYy7bULHY3yCO7QfO0JF9tFjt5JAAAAMAWNM853Y71LrCCOyc5ZQrrAgAAAMCkvSrjN7M9q5Ty1F0XSyl3T/KG/vS1tdarl9x7YinlglLKp1ZY7/QkFydpkryh/1VwSilHJ3l3xj+mPavW+rmlk2qtX8w4KNyR5B2llNssed6vJ3lOf/qa9XzZbUoeCQAAALD1zWVON4ltc29gtDD6xqTXBAAAAIBpqLWeU0p5eZLTkry7lHJakp8muVvGAd3fJHn9smlHJPmlVda7rJRySpIzkzwvyVNLKRdmHBIenuSCJM9cpZxnJxkkeUCSb5VSvpTkqFy/Fcfbaq1v35/vuZ01i508EgAAAGCLm9ecbuLNe0u1w/aEjIs+IklZbdxoYfTuadYBAAAAAKuptb6qlHJekt9Lcu8kv5BklOSdSd68dEuNNa73sVLKL2e8vcZDk7RJvpPxVq+n1VovXWXej0sp903yoiRPTnJCkquTfCLJn9Va37M/32+edINmTXlks9jJIwEAAAA2mXnM6abSvNcO2ycneW2S269xirAMAAAAgA1Taz0z41/hrmXsu5K8ay9j/jnJU/c0ZpV5P0vyiv7DGnWDRh4JAAAAsA3MW0438ea9dtg+Icmu7sIfJflikh8m2TnpZwEAAAAA860bNPJIAAAAALakabx57yVJasZ7DL9stDC6egrPAAAAAABIluWRzWInjwQAAABgS5hG894JSS4eLYxeNIW1AQAAAACWOiHJxc1iJ48EAAAAYEvZMYU1r0jyrSmsCwAAAACwnDwSAAAAgC1pGs17n0hy53bYHjyFtQEAAAAAlvpEkjt3g0YeCQAAAMCWMo3mvZdlvB3vq6ewNgAAAADAUvJIAAAAALakA6ew5lFJ/jDJa9ph+6Ak70jyjYy3r1jRaGF07hTqAAAAAAC2v915ZDdo1pRHNoudPBIAAACADTeN5r1PJalJSpJfTnLvvYyvU6oDAAAAANj+5JEAAAAAbEnTCKnOzTgAAwAAAACYNnkkAAAAAFvSxJv3RgujB056TQAAAACAlTSLnTwSAAAAgC1px0YXAAAAAAAAAAAAAPNG8x4AAAAAAAAAAADM2MS3zW2H7QP2dc5oYXTupOsAAAAAALa/btDscx7ZLHbySAAAAAA23MSb95J8Kkndh/F1SnUAAAAAANufPBIAAACALWkaIdW5WT0su0mSOyU5MsnVST47hecDAAAAAPNDHgkAAADAljTx5r3RwuiBexvTDtunJHljkvNHC6OFSdcAAAAAAMyHZrHbax7ZDZrdeWSz2MkjAQAAANgUdmzEQ0cLo/cmeXyS32yH7fM2ogYAAAAAYD40i93uPLIbNPJIAAAAADaFDWneS5LRwugzSb6a5NkbVQMAAAAAMB+axU4eCQAAAMCmsmHNe72rkhy7wTUAAAAAAPNBHgkAAADAprFhzXvtsD02ySDJZRtVAwAAAAAwH7pBI48EAAAAYFM5cNILtsP2tnu4XZLcKsl9kry4f/6Zk64BAAAAAJgP3aCRRwIAAACwJU28eS/Jt5PUNYwrSRaTvGQKNQAAAAAA80EeCQAAAMCWNI3mve9m9bCsJrkiyflJzkryttHC6Mop1AAAAAAAzId9yiObxU4eCQAAAMCmMPHmvdHC6BcnvSYAAAAAwEqaxU4eCQAAAMCWtGOjCwAAAAAAAAAAAIB5o3kPAAAAAAAAAAAAZmzi2+bu0g7bWyZ5TpJHJDk+yZFJLk/y1SQfTfKW0cLo4mk9HwAAAACYH92g2Wse2Sx28kgAAAAANo2pvHmvHbaPSLKY5D8meWCSWyc5rD8+MMkfJ+naYfvwaTwfAAAAAJgf3aBZUx7ZDRp5JAAAAACbxsSb99phe3ySDya5RZKvJPndJL+SpOmPv9tfPzrJB/vxAAAAAAD7rBs0+5RH9uMBAAAAYMNNY9vcl2b8q9bTk/zuaGFUl9z7SpJPJPmzdtj+v0l+J8lLkjxjCnUAAAAAANvfDfLIZrFbMY/sBo08EgAAAIBNZRrb5j40yU+SvGBZ495yv9ePe9gUagAAAAAA5sPuPHJZ495y8kgAAAAANpVpNO/dOsnXRgujq/c0qL//tSS3mkINAAAAAMB8uHWSrzWL3R7zyP6+PBIAAACATWMazXs/SXL7vQ1qh23px/3LFGoAAAAAAObDmvLIbtDIIwEAAADYVKbRvPfpJLdph+3z9zLueUl+Ick5U6gBAAAAAJgPn05ym27QyCMBAAAA2FIOnMKar0/y2CRvaIftA5K8OcmXRwujS9phe3SSuyZ5bpKTk+zsxwMAAAAA7I/deWQ3aHbnkc1id0k3aOSRAAAAAGxaE3/z3mhh9Kkkz884CHtikrOT/LAdttck+WF//sT+/gtGCyO/dAUAAAAA9kuz2K2YR3aDZsU8slns5JEAAAAAbArT2DY3o4XRm5PcL8n7k1yapCQ5oD9emuQ9Se7XjwMAAAAA2G/NYremPLIfBwAAAACbwjS2zU2SjBZGn09ySpL02+UekeSno4XRJdN6JgAAAAAwn5rFbnce2W+Xe0SSnzaLnTwSAAAAgE1pas17S/UNe0IyAAAAAGDq+oY9eSQAAAAAm9pEmvfaYftvkpyQ5PzRwuijaxj/qCR3TDIaLYw+OYkaAAAAAID50A2a3Xlks9jtNY/sBs3uPLJZ7OSRAAAAAGwK627ea4ftUUk+kOSQJPdd47RvJfnrJD9th+1xo4XR5eutAwAAAADY/rpBs648shs0xzWLnTwSAAAAgA23YwJr/GaSo5K8abQw+vJaJvTj/kuSW/bzAQAAAADWYnce2Sx2a8oj+3HySAAAAAA2lUk07z06SU1y+j7O+7MkJcljJ1ADAAAAADAf5JEAAAAAbAuTaN47McmFo4XRt/Zl0mhhdFHG21WcOIEaAAAAAID5cGKSC5vFbp/yyGaxk0cCAAAAsKlMonnvFkl+sJ9zf9DPBwAAAABYC3kkAAAAANvCJJr3rkhyxH7OPSLJzyZQQ0opdyylnFpKeWsp5bxSyrWllFpKedka5t6/lPLhUsqPSik/L6V8uZTy8lLKoXuZd7tSyltKKReVUq4qpVxYSvnzUsrtJvGdAAAAAIAb2RR5JAAAAACs1ySa976d5Lh22N5kXya1w/aIJHfu50/C85O8JcmzMt764oC1TCqlPC3JJ5M8NslVSbokxyV5ZZJPlFIOX2XeXZN8McmpSY5M8qUkN03y7CTnlVIG6/kyAAAAAMCKvp3kuG7Q7FMe2Q2aSeeRAAAAALAuk2jeOzvJQUl+ax/n/VY/7+wJ1JAkFyc5M8kfJnlUkjP2NqGUcockb8+40e9FSW5fa71XxiHeV5LcJ8lrV5h3QJL3Z7zFxhlJbltrvXeS2yX5QJKjk7y3lDKJf18AAAAA4HpnZ3PkkQAAAACwLpNoLntbf3xVO2zbtUxoh+2JSV6VZOeS+etSaz2t1vqYWusf11o/muSna5j2B0kOSfJ3tdbX1Vprv9a3kjyzH/PsUsptls17QpK7JrkkyTNqrT/r512R5On99ROTPG6dXwsAAAAAuKHdeWQ3aNaUR3aDZuJ5JAAAAACs17qb90YLoy8mOT3JzZOc0w7b32uH7U1XGtsO25u2w/aFST6V8Razb+nnz1wppSR5fH/69uX3a63nJlnM+Ne4y5vwntAf31drvXzZvMszfitfkjxpYgUDAAAAAGkWuxvkkd2g+b1u0KyYR3aD5qbdoLlBHtnPBwAAAIANd+CE1nlekttk3NT2n5P8STtsv5jkm0muSHKTJHfM+G10BycpST6Y5LkTev7+OCbJv+r/PmeVMeckGSS5X5K3LLn+r9cw7zn9PAAAAABgsm6UR3aDZrPnkQAAAABwAxNp3hstjK5L8sR22D4nyUuS3D7JffrPchclec1oYfRnk3j2Oty5P16V5LurjDl/2diUUg7OuPFv6f3V5t2hlHJQrfWa9RQKAAAAAFyvWeyuS/LEbtCsOY9sFruNziMBAAAA4AYm9ea9JMloYXR6O2zfmuQB/ed2SY5McnmS7yQ5N8m5fbPfRjuqP/6k1lpXGXPpsrFJcrNcv93wpVnZrus7Mt6O45L9LRIAAAAAWFmz2J3eDZq95pF9sx8AAAAAbCoTbd5Ldr+F75P9ZzM7tD9evYcxV/XHw1aYt6e5Vy35+7BVxgAAAAAA69Q35m2FPBIAAAAAbmDH3odsW1f2x4P3MOaQ/vjzFebtae4hS/7++SpjAAAAAAAAAAAAmFPz3Ly3a2vbm5dSyipjjlo2Nkn+JcnOZfdXm7czyWX7XSEAAAAAAAAAAADb0jw3732tPx6S5LarjDl22djUWq9OcuGy+6vNu6DWes16igQAAAAAAAAAAGD7mefmvQuTfL//+6RVxuy6/pll1z+z7P5a5wEAAAAAAAAAAMD8Nu/VWmuSD/anv738finlAUkGSa5J8j+W3f5Af3xyKeXIZfOOTPKk/vSvJ1YwAAAAAAAAAAAA28bcNu/1Xpfk6iSPKKX8QSmlJEkp5ZeSvKMf87Za6/eXzTsjyWKSo5O8s5RyeD/vJkne2V//UpIPTf8rAAAAAAAAAAAAsNVsm+a9UspJpZSLd32SnNLfesnS66WU2++aU2v9ZpJTk+xM8tokF5VSPp/ka0nukuRzSf5g+bNqrddl/Ha9S5OcnOS7pZR/SvKd/vzHSZ5Sa905re8LAAAAAAAAAADA1rVtmveSHJTxG+92fQ7prx++7PoBSyfVWv8iyYOSnJnksCR3TXJ+klckeWCt9YqVHlZr/VKSuyd5W5KfJmn741uT3L3W+uXJfTUAAAAAAAAAAAC2kwM3uoBJqbWenaTs59xzkzxmP+ZdlPGb+wAAAAAAAAAAAGDN1tW81w7bqydQQx0tjA7Z+zAAAAAAYJ51g2YieWSz2MkjAQAAANhw633z3rZ5cx8AAAAAsOnJIwEAAADYNnasc/5Bq3xelOSaJB9J8n8kuVOSI5Icm+TR/fVrkvxBPx4AAAAAYG/kkQAAAABsG+v6pepoYXTd8mvtsH1Skv+U5EWjhdHrl92+oP+c1Q7b30/y2v78jPXUAQAAAABsf81id6M8shs0u/PIZrFbNY/sBo08EgAAAIBNZb1v3lvJC5P8YIXGveXekOQHSX5/CjUAAAAAAPPhhUl+sELj3nLySAAAAAA2lWk0752Q5KK9DRotjGo/7m5TqAEAAAAAmA9ryiObxU4eIpznsgAAIABJREFUCQAAAMCmMo3mvWuTHN8O20P2NKi/f3w/HgAAAABgf1yb5Phu0Owxj+zvyyMBAAAA2DSm0bz3qSQ3TfLmdtiuuH47bEuSNyW5WT8eAAAAAGB/7M4ju0GzYh7ZDRp5JAAAAACbzoFTWPPlSR6e5JlJHt4O27cm6ZL8KMmtkgySPCvJLyW5sh8PAAAAALA/bpBHdoNGHgkAAADAljDx5r3Rwui8dtj+WpL/luSYJK9cYVhJ8v0kvzlaGJ036RoAAAAAgPnQLHbndYNmzXlks9jJIwEAAADYFKaxbW5GC6N/SHJ8kuck+VCSLye5sD9+KMnvJDl+tDD62DSeDwAAAADMj2axW1Me2Sx28kgAAAAANo1pbJubJBktjK5I8pb+AwAAAAAwNc1iJ48EAAAAYEuZePNeO2z/LslVSU4eLYyunvT6AAAAAAC7dINmdx7ZLHbyyDW6/OP/sNEl3Mh6ajryoQ+ZYCUAAAAAszGNbXMfnOS2GvcAAAAAgBl4cJLbatwDAAAAYKuZRvPehUkOnsK6AAAAAADLySMBAAAA2JKm0bx3RpKmHbbHTWFtAAAAAIClzkjSdINGHgkAAADAljKN5r3TkoySfLgdtnebwvoAAAAAALvsziO7QSOPBAAAAGDLOHAKa74xyT8neUqS89phe16SLskVq4yvo4XRv5tCHQAAAADA9neDPLIbNHvNI5vFTh4JAAAAwIabRvPes5LUJKU/v0f/WU1NIiwDAAAAAPaHPBIAAACALWkazXunTmFNAAAAAICVyCMBAAAA2JIm3rw3Whi9fdJrAgAAAACspFns5JEAAAAAbEk7NroAAAAAAAAAAAAAmDfT2Db3Btphe2yS45McmeTyJF8dLYzOn/ZzAQAAAID50w2aG+WRzWInjwQAAABg05la8147bH87yYuTHLvCva8nec1oYfTOaT0fAAAAAJgf3aBZNY/sBs3Xk7ymWezkkQAAAABsGlPZNrcdtm9L8pYkd0pybZJvJfnH/nhtkjsneVs7bN86jecDAAAAAPOjGzRryiO7QSOPBAAAAGDTmHjzXjtsT0nyzCQ/T/LSJLcaLYyOHS2M7j9aGB2b5Fb99Z8leWY7bJ8y6RoAAAAAgPnQDZob5ZHNYndss9jdv1nsbpRHdoNGHgkAAADApjCNbXOfnaQmeeJoYfTR5TdHC6PLkrymHbb/O8lH+vHvnUIdAAAAAMD2tzuPbBa7G+WRzWJ3WZLXdINGHgkAAADApjKNbXPvkeSbKzXuLdXfPz/JvaZQAwAAAAAwH+6R5JsrNe4t1d+XRwIAAACwaUyjee/QJJeuceylSQ6ZQg0AAAAAwHyQRwIAAACwJU2jee/CJHdrh+0t9jSoHbZHJ7lbkoumUAMAAAAAMB8uTHK3btDsMY/sBo08EgAAAIBNZRrNe2dm/OvV96zWwNc37r0nycFJ/scUagAAAAAA5sPuPHK1Br6+cU8eCQAAAMCmcuAU1nx1klOS/GqSC9th+94kX07ywyS3TnLXJE9JcniS7yR5zRRqAAAAAADmww3yyG7QyCPZFi7/+D9sdAk3sp6ajnzoQyZYCQAAAGwPE2/eGy2MLmmH7UMz/iXrPZI8I0ldMqT0xy8kOWW0MLpk0jUAAAAAAPOhWewu6QbNmvPIZrGTRwIAAACwKUzjzXsZLYy+2g7beyd5RP85PskRSX6a5KtJ/na0MPq7aTwbAAAAAJgvzWL31W7Q7DGPbBY7eSQAAAAAm8pUmveSZLQwqkn+tv8AAAAAAExNs9jJIwEAAADYUnasd4F22B4ziUIAAAAAAPamGzTySAAAAAC2hUm8ee+b7bC9KMmnknwiySdHC6NuAusCAAAAACz3zW7Q3CCPbBY7eSQAAAAAW84kmvdKkmOS/EaSpyZJO2wvyTg8+2TGAdoXRgujnRN4FgAAAAAw326UR3aD5kZ5ZLPYySMBAAAA2NQm0bx3uyQPSvLA/tgmuWWSX0/yuH7MT9th++mMw7NPJvnMaGF01QSeDQAAAADMlzXlkd2guUEe2Sx28kgAAAAANpV1N++NFkbfS/K+/pN22B6Z5AG5PkC7b5IjkzwiycP7aVe3w/afcv02ux9dbx0AAAAAwPbXLHY3yCO7QbOmPLIbNLvzyGaxk0cCAAAAsOEm8ea9GxgtjC5P8rf9J+2wPSjJL2ccnD04yf2T3CLjQO0BSf7DNOoAAAAAALa/ZrG7QR7ZDRp5JAAAAABbwtRDqtHC6Jokn+4/r2uHbZvkOUmekeTQaT8fAAAAAJgfzWJ3gzyyGzTySAAAAAA2pak277XD9sAk98n4V64PSnJSkpv3t0uSS5KcO80aAAAAAID50A0aeSQAAAAAW8ZEm/faYXtExltPPCjjgOy+Gf+atfRDvp7kw0nOSXLOaGG0OMnnAwAAAADzoxs0+5RHNoudPBIAAACATWPdzXvtsD0543DsQUlOTLIj43DsmiSfTx+MJfnUaGH0o/U+DwAAAAAmrZTya0lemOReyf/P3r0HW1ZXdwL/Lrp5qaiEGE2piCix75AOETQ+MBkacSYjMVHEKDipZjRJaVI4E8yDSWHKJGo0D0w0meiMmMaJqOMrsSAmIwESxQkqOFQPczshOAgiIgICSWge3b/54+wrl8t9nO577r7n9Pl8qk7ts/f+/dZZp380UKvW2b8cmOTvk/xJkj9qre3ei3gzSc5JcmKSQ5PclOSTSd7SWvv2kDEe1+VxaJJdrbU13UVjUsxumhm6HjmzY1Y9EgAAAGCCTFudbhSBPpqkJfl2kv+ZrjCW5Avbt27fOYL4AAAAALBmqursJL/VnX4lyT8lOSbJu5KcVFUv25PCYFVtSXJRkoOT3JrkmiSbkrwxycuq6vmttVuGCPXODAqCPNSS9ciZHbPqkQAAAAATahrrdPuNKM7cNhS7k+zqXnvc6QgAAAAAfaqq5yV5Wwa1rNNba09rrR2TwS97b0ny4xn80nfYeIck+UgGBcF3JXlia+24JIdn0GR2ZJLzhohzUpJXJ/nUHn2h6aEeCQAAALAPmdY63SievHdGkhd0r5O7V0ty3+bzN38pg1+9fi7J5du3bh/qUYMAAAAA0JNzMmgE+2+ttQ/NXWytXV1VZyX5YJKzq+oPWmv3DxHvdUkel2Q2yVmttV1dvNuq6vQk1yU5uaqOba1dtViAqjooyR8n+UaSX8ugMMmDzsgS9cjZTTMPqUfO7JhVjwQAAACYDFNZp1t18972rds/kOQDSbL5/M2H5cHC2Q8n+aEkxyf55SRt8/mbZ/Ng8exz27du/+pqPx8AAAAA9kZVPTrJSd3pYr+y/WgGxbnDkmzJYIvWlZzSHbfNFQTntNZuqKqLk/xoklOTLFoUzKBQ+fQMftF75xCfOVVmdsx+px45u2lm2Xrk7KaZh9QjZ3bMqkcCAAAAjJlprtON4sl737F96/bbkvx598rm8zcfnOS5ebB49twkRyf52e7+15N8dvvW7aePMg8AAAAAGMIzkxyQZGcWKdC11u6vqi8meWGS52SFomBVbUxyXHd6+RLDLs+gKPicJWLMJPmlJJe21i6oqiNW/BZTbGbH7EPqkbObZpatR85umvl6ks/O7JhVjwQAAAAYH1Nbpxtp895C27duvyfJpd0rm8/fvF+SH0zy2iT/IckTk7wyiWIZAAAAAH07qjve0Fp7YIkxX8mgKHjUEvfnOyLJ/vPmLRVv/md/R1VVkvdmsD3Izw/xeSwws2P2IfXI2U0z6pEAAAAA429q63Rr2ryXJJvP31wZFMh+uHu9IMn3rPXnAgAAALBP21BVX1vqZmvtSUPEOLQ73rHMmLl7hy4zZmG85WIuF++1GdTP3t5amx3i81jE7KYZ9UgAAACA/qjTrcLIm/c2n7/5oAweJzi3NcXzkjyqu13dcVeSq5N8tnsBAAAAQN8O6o73LTPm3u548B7EWy7movGq6nFJ3pHkhiS/OcRn0ZndNKMeCQAAADDZprZOt+rmvc3nbz40yfF58Fesx+XBxw7OFcfuTfKFDApjf5vk89u3bv+n1X42AAAAAFNr15C/2l3Ozu54wDJjDuyO9+xBvLmYOxcZs1S8dyb5riSvba39yxCfNbVmN83sVT1yZseseiQAAADA6KnTrcIonrx3ax4sis0d70zy+Tz4S9Yvbt+6fbnOSAAAAADo2zBbbQyzZcfCeHPzbh4mXlX96ySvTnJRa+3PhvicaTdUPXJmx6x6JAAAAMBkmNo63Sia9/ZLckseLIx9NsnV27dubyOIDQAAAABr5drueHhVbWytPbDImCMXjF3O9Unuz+ApcEdm8aLgYvGe2R1fUFXfWDB+w9xx3r3/2Fr7yBD57KsWrUfO7JhVjwQAAACYTFNbpxtF894ztm/dPswfCgAAAACMky9nUMQ7KMmxGWyz+h1VtX+SZ3enV6wUrLX2QFVdleQ5GWzrevkiw45fJt5jutdSHt8dD14pl33cM2Z2zKpHAgAAAOw7prZOt99qA2jcAwAAAGAStdbuSnJxd/raRYa8Ismjk9yW5LIhw36iO55RVRvm36iqw5Oc1J1+fF4ev99aq8VeSZ7aDds17/q2IXPZJ2ncAwAAANi3THOdbtXNewAAAAAwwd6apCX56ao6be5iVR2T5Nzu9Ldba/fNu3dqVV1fVZ9bJN57knwryUySc7tfBaeqDktyQQY7YXy6tXblmnwbAAAAAJhMU1mn07wHAAAAwNRqrV2e5E0Z1MkuqKrrqurqJFdlsP3FRUl+b8G0RyV5SpInLRLvriSvSrIzyRuS3FRVX0pyQwZbcVyf5DVr8mUAAAAAYEJNa51u6pv3quqIqmpDvv71vHlvHmL8pvX8bgAAAACsrLX21iQvSXJJksOSPD3J9iT/KclPtNZ27WG8v07yrCQfzuDXwpuT3JLBL4SPba19Y3TZAwAAAMC+YRrrdBvXO4ExsDPJ5cvc/94kR3bj/vci92/MoCNzMf+yutQAAAAA6ENr7cIkFw45dluSbSuMuSbJacuNGfKzrk9Sq40DAAAAAJNg2up0U9+813VQvmCp+1X1pxk0732qtXbnIkPe31p78xqlBwAAAAAAAAAAwD5o6rfNXU5VPSrJS7vT/76euQAAAAAAAAAAALDv0Ly3vFOSPDLJrUn+cp1zAQAAAAAAAAAAYB8x9dvmruDfd8cPt9YeWGLMlqo6OslhSW5P8oUkH+i24wUAAAAAAAAAAICH0by3hKr63iQv7E6X2zL3RxacvzzJm6vq51pr29YiNwAAAAAAAAAAACabbXOX9uoM/nz+vrX2xUXu35zkbUmencFT9x6R5Pgkn05ycJL3V9VLesoVAAAAAAAAAACACeLJe0ub2zJ30afutdbeu8jlz1fVyUk+nuRlSd5ZVRe21toa5QgAAAAAAAAAAMAE8uS9RVTV5iTHJGlJ/nRP5naNemd3p09L8gOjzQ4AAAAAAAAAAIBJp3lvcT/VHf+2tfbVPZ3cWvuHJLd3p08fWVYAAAAAAAAAAADsEzTvLVBV+yU5rTtddMvcId3fHW1NDAAAAAAAAAAAwENo3nu4LUmelGRnko/tTYCq+u4k39Odfm1EeQEAAAAAAAAAALCP0Lz3cHNb5n6qtXbnXsY4K0kluTPJF0eSFQAAAAAAAAAAAPsMzXvzVNXBSU7pTpfcMreqjq6q/1JVRy+4flBV/WqSX+kuvaO1dt/aZAsAAAAAAAAAAMCk2rjeCYyZlyY5JMmtSf5ymXH7J3l9ktdX1a1JbuiuzyR5RPf+vCRvX6M8AQAAAAAAAAAAmGCa9x5qbsvcD7fWHlhm3PVJ3pTk+Uk2JXlGkgOSfDPJXyR5X2vtr9YwTwAAAAAAAAAAACaY5r15WmsvHnLct5O8ZY3TAQAAAAAAAAAAYB+leQ8AAAAAAKBns5tmRh5zZsfsyGNOM2sEAACstf3WOwEAAAAAAAAAAACYNpr3AAAAAAAAAAAAoGea9wAAAAAAAAAAAKBnmvcAAAAAAAAAAACgZ5r3AAAAAAAAAAAAoGcb1zsBAAAAAACASXP3JZeudwoPs9qcDjlxy4gyAQAAYBievAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA907wHAAAAAAAAAAAAPdO8BwAAAAAAAAAAAD3TvAcAAAAAAAAAAAA927jeCQD7ls3nbx55zO1bt488JgAAAAAAAAAArCdP3gMAAAAAAAAAAICeefIeAIzYZTdett4pjNwJTz5hvVMAAAAAAAAAgH2KJ+8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM82rncCAAAAMK0uu/Gy9U5h5E548gnrnQIAAAAAAEwET94DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5tXO8EAAAAAAAAAPbU7KaZkcec2TE78pgAALAUT94DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICebVzvBIDxctmNl613Cg+z2pxOePIJI8kDAAAAAAAAAABGxZP3AAAAAAAAAAAAoGea9wAAAAAAAAAAAKBnmvcAAAAAAAAAAACgZxvXO4FxUFXbkmxdYdjBrbWdi8ydSXJOkhOTHJrkpiSfTPKW1tq3R5wqwKqdecmZI4/57hPfPfKYAAAAAAAAAAD7Ms17D3Vtkm8ucW/3wgtVtSXJRUkOTnJrkmuSbEryxiQvq6rnt9ZuWaNcAQAAAAAAAAAAmFCa9x7qba21bcMMrKpDknwkg8a9dyX5xdba/VV1WJI/T3J8kvOS/Nga5QoAAAAAAAAAAMCE2m+9E5hgr0vyuCSzSc5qrd2fJK2125KcnuSBJCdX1bHrlyIAAAAAAAAAAADjSPPe3julO25rre2af6O1dkOSi7vTU3vNCgAAAAAAAAAAgLFn29yHOrWqXprk0Um+meTyJB9ord05f1BVbUxyXHd6+RKxLk/yo0mes0a5AgAAAAAAAAAAMKE07z3UyQvOX5nk16vq9NbaX867fkSS/bv3X1ki1tz1o0aXHgAAAAAAAAAAAPsC2+YOXJfkV5Mck8FT9w5J8m+SXJHk0CR/VlXPmjf+0Hnv71gi5tz1Q5e4DwAAAAAAAAAAwJTy5L0krbXfXOTyZ6rqb5J8NskPJXlHkhd29w6aN+6+JcLe2x0PHkmSAAAAAAAAAAAA7DM8eW8ZrbX7krypOz2hquaeordz3rADlph+YHe8Zy1yAwAAAAAAAAAAYHJp3lvZ/+qO+yU5sns/f6vcpbbFnbu+1La6AAAAAAAAAAAATCnNeyu7f977uW2Gr593/cgsbu76tWuQEwAAAAAAAAAAABNM897Kjp73/mtJ0lp7IMlV3bXjl5g3d/2KNcoLAAAAAAAAAACACaV5b2Vv7I47Wms3zbv+ie54RlVtmD+hqg5PclJ3+vE1zg8AAAAAAAAAAIAJM/XNe1X1oqr6rap66oLrj6mqdyU5rbv0GwumvifJt5LMJDm3qvbv5h2W5IIMttj9dGvtyjX9AgAAAAAAAAAAAEycjeudwBh4ZJKzk5xdVTcl+XqS/ZP8qyQHJGlJfqO19qH5k1prd1XVq5JcmOQNSU6rqhsyaOZ7RJLrk7ymry8BAAAAAAAAME5mN82MPObMjtmRxwQAWC9T/+S9JFcmeWuSS5LsSvL9STYluSnJB5I8r7X25sUmttb+Osmzknw4gya/zUluSXJukmNba99Y6+QBAAAAAAAAAACYPFP/5L3W2o1JzlnF/Gvy4Na6AAAAAAAAAAAAsCJP3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICead4DAAAAAAAAAACAnmneAwAAAGDqVdWLq+riqrq9qv65qq6qqjOraq/qZ1U1U1UfrKqbq2pnVV1XVb9bVY9dYvx3V9XPVtXHqur/VdW9VXV3l8evVdVjVvcNAQAAAGD8TVudTvMeAAAAAFOtqs5OclGSFya5I8k/JjkmybuSfHJPC4NVtSXJlUlOT7IhyTVJnpDkjUmurKrHLzLtk0nem+TlSR6T5P8k+VaSH0zy60murqoj9/jLAQAAAMCEmMY6neY9AAAAAKZWVT0vyduS7E5yemvtaa21Y5Icm+SWJD+e5Kw9iHdIko8kOTiDouITW2vHJTk8yeVJjkxy3iJTdyU5P8lzkxzWWjuutfbUJMcluTbJU7q4AAAAALDPmdY6neY9AAAAAKbZOUkqyftaax+au9hauzoPFgPPrqr9h4z3uiSPSzKb5KzW2v1dvNsy+IXvA0lOrqpjF8w7pbV2RmvtitZam5fHl5P8VHf6rKp65p59PQAAAACYCFNZp9O8BwAAAMBUqqpHJzmpO13sV7YfTXJXksOSbBky7CndcVtrbdf8G621G5Jc3J2euuDe7UsFbK1dkeTO7vT7hswDAAAAACbCNNfpNO8BAAAAMK2emeSAJDuTXLXwZvdr3C92p89ZKVhVbcxg+4xksPXGYuaurxhvXtwNSeZ+UXzPsPMAAAAAYEJMbZ1O8x4AAAAA0+qo7nhDa+2BJcZ8ZcHY5RyRB4t3X1lizJ7Em/NjSR6RZFeSv9uDeQAAAAAwCaa2TrdxFEEAAAAAoGcbquprS91srT1piBiHdsc7lhkzd+/QZcYsjLdczD2Jl6p6ZJLf6U7Pb619c5h5AAAAANATdbpV0LwHAAAAwLQ6qDvet8yYe7vjwXsQb7mYexIvSc7L4Ne/X0vyS0POAQAAGMrsppmRx5zZMTvymNPOOgFTYGrrdJr3AAAAAJhEu4b81e5ydnbHA5YZc2B3vGcP4s3F3LnImKHjVdXbk7wyyT8leWlr7fYhcgAAAACAPqnTrcJ+owoEAAAAABNmmK0xhtmyY2G85WIOFa+qfjHJr2TwC+CfaK1dOcTnAwAAAMAkmto6nSfvAQAAADCtru2Oh1fVxtbaA4uMOXLB2OVcn+T+JPt3827em3hV9TNJfifJA0l+srV2yRCfDQAscPcll653Cg+z2pwOOXHLiDIBAICxMrV1Ok/eAwAAAGBafTmDIt5BSY5deLOq9k/y7O70ipWCdUXFq7rT45cYNnd90XhV9aok70myO8nW1tqnVvpcAAAAAJhwU1un07wHAAAAwFRqrd2V5OLu9LWLDHlFkkcnuS3JZUOG/UR3PKOqNsy/UVWHJzmpO/34wolV9eIkH8igZvdzrbULhvxMAAAAAJhY01yn07wHAAAAwDR7a5KW5Ker6rS5i1V1TJJzu9Pfbq3dN+/eqVV1fVV9bpF470nyrSQzSc7tfhWcqjosyQVJNib5dGvtyvmTquoFST6WwVYev9xae++oviAAAAAATICprNNp3gMAAABgarXWLk/ypgzqZBdU1XVVdXUG22o8PslFSX5vwbRHJXlKkictEu+uJK9KsjPJG5LcVFVfSnJDBltxXJ/kNYukcl6Sg5Pcm+QnqupzS7z+3aq/NAAAAACMmWmt020cRRAAAAAAmFSttbd2hcBfSHJckick2Z7kT5L8YWtt1x7G++uqelaSc5KcmGRzkpuSfDLJW1prdywy7cB5x+OXCf/4PckFAAAAACbFNNbpNO8BAAAAMPVaaxcmuXDIsduSbFthzDVJTltuzILxRww7FgAAAAD2VdNWp7NtLgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRs43onAAAAAAAAAAAAk2p208zIY87smB15TGD8ePIeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0bON6JwAAPNSZl5w58pjvPvHdI48JAAAAAAAAAOw9T94DAAAAAAAAAACAnmneAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICebVzvBAAAAAAAAAAAANbK7KaZkcec2TE78phMH0/eAwAAAAAAAAAAgJ558h4AwB7afP7mkcfcvnX7yGMCAAAAAAAAML48eQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAeqZ5DwAAAAAAAAAAAHqmeQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAeqZ5DwAAAAAAAAAAAHqmeQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAeqZ5DwAAAAAAAAAAAHqmeQ8AAAAAAAAAAAB6pnkPAAAAAAAAAAAAejb1zXs18IKq+p2q+ruq+nZsgyrnAAAgAElEQVRV3VdVX6+qj1fVliXmvbmq2gqvTX1/HwAAAAAAAAAAAMbfxvVOYAycmOTi7v3uJP+Y5J+THJXklCSnVNVbWmtvWmL+jUluWOLev4wyUQAAAAAAAAAAAPYNmveSyqBh79wkH26t3ZEkVXVAkjcn+c9JzqmqK1prFy4y//2ttTf3lCsAAAAAAAAAAAD7gKnfNjfJF5LMtNb+eK5xL0laa/e11n41yae7Sz+zLtkBAAAAAAAAAACwz5n65r3W2l2ttQeWGfKZ7vh9feQDAAAAAAAAAADAvs+2uSs7qDves8T9LVV1dJLDktyewZP8PtBa+0YfyQEAAAAAAAAAADB5NO8to6oqySu608uXGPYjC85fnuTNVfVzrbVta5UbAAAAAAAAAAAAk2vqt81dwc8keWaS+5L8/oJ7Nyd5W5JnZ/DUvUckOT7Jp5McnOT9VfWS/lIFAAAAAAAAAABgUnjy3hKq6tgkf9CdntNau27+/dbaexeZ9vmqOjnJx5O8LMk7q+rC1lpb22wBAAAAAABgstx9yaXrncLDrDanQ07cMqJMAACYBp68t4iqemqSC5MclOSCJL877NyuUe/s7vRpSX5g5AkCAAAAAAAAAAAw0TTvLVBVT0jymSTfm+SiJGfs6ZPzWmv/kOT27vTpo80QAAAAAAAAAACASad5b56q+q4MGveeluRvkryitXb/Xoabm2drYgAAAAAAAAAAAB5C816nqh6V5C+SfH+SLyZ5SWvtnr2M9d1Jvqc7/dpoMgQAAAAAAAAAAGBfoXkvSVUdmOTPkzwnyTVJfrS1dvcqQp6VpJLcmUEjIAAAAAAAAAAAAHzH1G/pWlUbknw4yYlJrkvyotba7SvMOTrJzyf5o9baNfOuH5RB496vdJfe0Vq7b00SBwBgWZvP3zzymNu3bh95TAAAAAAAAGA6TX3zXpKfTPLS7v3uJB+tqsXG3dxae0X3fv8kr0/y+qq6NckN3fWZJI/o3p+X5O1rkjEAAAAAAAAAAAATTfNecuC890d1r8V8dd7765O8Kcnzk2xK8owkByT5ZpK/SPK+1tpfjTxTAAAAAAAAAAAA9glT37zXWtuWZNsezvl2kresRT4AADAtbG0MAAAAAADANNtvvRMAAAAAAAAAAACAaaN5DwAAAAAAAAAAAHo29dvmAgAAsDhbGwMAAAAAAKwdT94DAAAAAAAAAACAnnnyHgAAAEyoMy85c+Qx333iu0ceEwAAAAAAeDhP3gMAAAAAAAAAAICead4DAAAAAAAAAACAntk2FwAAAGCNbD5/88hjbt+6feQxAQAAAADonyfvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM82rncCAAAArI3LbrxsvVN4mNXmdMKTTxhJHjAsf48AAAAA9n13X3LpeqfwMKvN6ZATt4woE2AtefIeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRM8x4AAAAAAAAAAAD0TPMeAAAAAAAAAAAA9EzzHgAAAAAAAAAAAPRs43onAAAAi7nsxsvWO4WHWU1OJzz5hJHlAQAAAAAw5+5LLl3vFB5itfkccuKWEWUyPsZtjZLV5bQvrhHAevHkPQAAAAAAAAAAAOiZ5j0AAAAAAAAAAADomeY9AAAAAAAAAAAA6JnmPQAAAAAAAAAAAOiZ5j0AAAAAAAAAAADomeY9AAAAAAAAAAAA6JnmPQAAAAAAAAAAAOiZ5j0AAAAAAAAAAADomeY9AAAAAAAAAAAA6JnmPQAAAAAAAAAAAOiZ5j0AAAAAAAAAAADomeY9AAAAAAAAAAAA6JnmPQAAAAAAAAAAAOiZ5j0AAAAAAAAAAADomeY9AAAAAAAAAAAA6NnG9U4AAAAAAAAAAABgKXdfcul6p/Awq83pkBO3jCgTJpkn7wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAz2ybCwAAAAAAAMCixm2bQlsUAgD7Ek/eAwAAAAAAAAAAgJ5p3gMAAAAAAAAAAICe2TYXAJhKl9142Xqn8BCrzeeEJ58wkjxgT4zb36PE3yUAAAAAAAAmhyfvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM80741AVb24qi6uqtur6p+r6qqqOrOq/PkCAAAATIBR13eqaqaqPlhVN1fVzqq6rqp+t6oeu8K8x3bjruvm3dzFmdm7bwYAAAAAk2Pa6nSay1apqs5OclGSFya5I8k/JjkmybuSfFIDHwAAAMB4G3V9p6q2JLkyyelJNiS5JskTkrwxyZVV9fgl5j0hyZe7cU/o5m3o4lxZVT+yx18OAAAAACbENNbpNJatQlU9L8nbkuxOcnpr7WmttWOSHJvkliQ/nuSsdUwRAAAAgGWMur5TVYck+UiSgzMoKj6xtXZcksOTXJ7kyCTnLTF9W5IjknwuyeHdvCcmeXcX739U1SP38CsCAAAAwNib1jqd5r3VOSdJJXlfa+1Dcxdba1fnwX9Yzq6q/dcjOQAAAABWNOr6zuuSPC7JbJKzWmv3d/Fuy+CXuQ8kObmqjp0/qaqeleTfdvdf3Y1PN/8XuniPT/Kze/MlAQAAAGDMTWWdTvPeXqqqRyc5qTtdrAvzo0nuSnJYki195QUAAADAcNaovnNKd9zWWts1/0Zr7YYkF3enpy6Y9/Lu+Jlu3Px5u5Kc352+Ysg8AAAAAGAiTHOdTvPe3ntmkgOS7Exy1cKbXbflF7vT5/SYFwAAAADDGWl9p6o2JjmuO718iWFz1xfGe+6Q846rqg0r5QIAAAAAE2Rq63Sa9/beUd3xhtbaA0uM+cqCsQAAAACMj1HXd45IMrdtx1eWGLNUvKMW3F9q3gFJnjJELgAAAAAwKaa2TrdxtQGm2KHd8Y5lxszdO3SZMcPYsHv37mzY4EfV+z1m9P2mL7zzhSOPOc2s0fizRuPPGo0/azQZrNP4s0bjzxqNP2s0/qzR2ti9e3eSbKiqry01prX2pCFCjbq+M3/MUjGXirdSLvOvr7bWxN5Tp+s8br/R//vt1hedtPIghmaNxp81Gn/WaPxZo/FnjcafNZoM1mn8WaPxZ43Whjrd6ut0mvf23kHd8b5lxtzbHQ8exQfu3r1718qj9m2779g9zLC56unU/3mtB2s0/oZco8Q6rRtrNP6s0WTw36TxZ43GnzUaf/6bNP6s0ZoZVefUqOs7B817v1TMpeKtlMu9896PpNbE3lOnS27Z7f8Txp01Gn/WaPwNuUaJdVo31mj8WaPxZ40mg/9vGH/WaPxZozWjTrdKmvf23s7ueMAyYw7sjves5oNaa7Wa+dNmrpt3yM5d1oE1mgzWafxZo/FnjcafNRp/1mj8WaPJYJ3GnzVaN6Ou7+yc9/6ABecrxduZ5BHL5HLgvPerqjWx99Tp9ox/t40/azT+rNFksE7jzxqNP2s0/qzR+LNG488ajT9rtK6mtk43+mdCTo9hHsU4zCMdAQAAAFgfo67vDLNlxlLxVsplmK0+AAAAAGASTW2dTvPe3ru2Ox5eVUs9wfDIBWMBAAAAGB+jru9cn+T+BfOGjXftgvtLzbsvyVeHyAUAAAAAJsXU1uk07+29L2ewyAclOXbhzaraP8mzu9MreswLAAAAgOGMtL7TWnsgyVXd6fFLDJu7vjDeFQvuLzXvytbarpVyAQAAAIAJMrV1Os17e6m1dleSi7vT1y4y5BVJHp3ktiSX9ZQWAAAAAENao/rOJ7rjGVW1Yf6Nqjo8yUnd6ceXmPeibtz8eRuSbO1OPzZkHgAAAAAwEaa5Tqd5b3XemqQl+emqOm3uYlUdk+Tc7vS3W2v3rUdyAAAAAKxoj+s7VXVqVV1fVZ9bJN57knwryUySc7tfBaeqDktyQZKNST7dWrty/qTW2heSfKa7/8Fu/Nyvit/Zxftmkv+6+q8MAAAAAGNnKut0mvdWobV2eZI3ZfDneEFVXVdVV2fw2MXHJ7koye+tY4oAAAAALGMv6zuPSvKUJE9aJN5dSV6VZGeSNyS5qaq+lOSGDLbUuD7Ja5ZI54wkX03ygiQ3dPNuSnJmF++VrbV/2tvvCgAAAADjalrrdNVaG0WcqVZVP5bkF5Icl2T/JNcm+ZMkfziKvY0BAAAAWFt7Ut+pqjO6e19trR2xRLyjk5yT5MQkj82guPfJJG9prd2xTB6HZlCkfGmSJyb5dpJLkvxma+3/7v03BAAAAIDxN211Os17AAAAAAAAAAAA0DPb5gIAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAAAAAAQM807wEAAAAAAAAAAEDPNO8BAAAAAAAAAABAzzTvAQAAAAAA8P/ZO+twvYrjj38mbhAjSBI0QUKw4O7uWppiRYP/cC3uDkWKFmmhpRQoFNpCoVAcSinaBofibkVi7/7+mNnsvue+781Ncu89V2aeZ573vrt7zj1n5z1nZ0e+4+Tk5OTk5OTk5OTk5NTK5MF7Tk5OTk5OTk5NIBGRsq/BycnJycnJycnJycnJycnJycnJycnJycnJycnJyanjkAfvObVZEpHhZV+Dk5OTk5MTgIjMDgwq+zqcnJycnJwARKRf2dfg5OTk5OTk5OTk5OTk5OTk5OTk5OTk5DTz5MF7Tm2ORKS3iFwHPCwiK1ubox05OTk5OZVCIrIl8CFwadnX4uTk5OTUuUlEVhKRZ4CdRKRb2dfj5OTk5OTkVD653dTJycnJycnJycnJycnJqX2TB+85tUUaBPQH5gW2E5FuIYRQ8jU5FUiUuhbbyroeJycnpxakt4ApwFYismrJ1+Lk5OTk1LlpHWApYGtgoZKvxcnJycnJyakNUAghiMgsIjI4tolIFxFx238bpqJd1cnJycnJycnJycnJyanzkm/gndochRDeQ9GN3ga2BTYCDwxrS2QljY8AVrLvXUCNhWVel5NTeyc33LZNCiE8C5wKdAeOL/lynJycnJw6IWXO9+uAu4G1gc1EpG9pF+Xk5OTk1OnIUV/bJonIvMCJwNEiMkREJIRQCSFURKSriPQq+RI7JYnI8vbZwNZjMppif7t82hC5D8LJycnJycnJycnJqQzy4D2nNkXZ5vhp4EZgGFoSarBlkfrmuW3QpsDJwMEiMl8IoQIgIruJyHEiMku5l+cUKTp6/dlpH5QZbruXfS1ODegXwOvAuiKyU9kX4+TUXsmDlNs2OTpL26Wob4cQ3gV+A3wB7Iyi8Dm1ITKEcin+7eTk5NQRKIQwGUBEhtmn6w5tgyaj6LyHAOvH5FoRORB4HFizvEvrfCQivURkPPCEiCwSQphS3AeZnXtlEXkZtbM6tQHyCkBtn2pVA3Jqm+RyavtU9B353rXtkifQtE2yNcn3Q05OTs1G/kJxalNkhosuIYQvgTuAfwIbAtvE/jKvr7NTprw/A4wH1gWWFJG1ReSfwNWosXBoSZfoZBQ3x5mj15+dNkhF5V5EVhSRx4FNfbPcNih7lj5G0fcAjvEg5bZFXhKq7VOUURakPL+IzO1yaxsUHSBRb3Bqm5QZa/8I3AmMAn4kIkPKuyqnnKLD1/a1PeLf1ue6nZOTU7ujop4tIkuIyBvA+SLSy3WH8skQ3N4Dfm1Ne4rIT0TkeeBCYFGgh+vdrUMmjx+Av1vTWZCSNbNxcwI3AENCCL9v3at0KlLU00IIk0Wkm4jsIiK7isiynmDbdsj2rMECYnuJyHIiMkfZ1+VUTaY75OiiS4rIWiIyMPaXe4VORd9RJPchtV2y9am3iGzlfom2QZn9p+LBym2XPKnWqb2R+Frs1FbINl9FQ8Z+wHnAU8BeIYTxpvj7D7dkEpFdUSSqr4AhQABuBn4eQniizGvr7JQ/IyKyKbAFMAn4ALg/hPBYmdfnpGTKfUQt6BVC+EFEzgCOBP4M7BFC+KDUi+zEJKkceEQW7QlU0FKF6wKnhhC8hG4boFx/EJHZgV7A/4AvbfPcxZ2K5VJBRougiCBrA+8Ah4QQ/lXm9XV2KshnTmAXoAfwLfCPEMLDZV6fk1KuN9j3ZVGk8sHA7iGEO0q7OCfytcZ0iP2ApYGJwGfAVcBbvo91cnJqT1TQEQaj9p+NgIvRhPDDQgi/cztduVRYgx4FVrKuAPwKuCKE8HhZ19fZKD43ItIHtcPNAmwSQvizJWJMsSD/9dGEjGtCCPvWsos7tT6JyDbARaTE9InAlcDhIYQJpV2YUxWJyJ7AMejz1QfVtW8MITzlNqByqbAmLQMcjdp/pgDnhxDOKPP6nBr4jrYCtrWuz4B7gbtdr2t7JCLzAM8D3UII/cq+HqdEIrIHsB7wOeo7ejSE8IWvR+VTwQebr0++f3Vqs+TBe06tRiIyawjh6zp9ucK4AYq09wUgwBrAwmhQmAdKlEyZEeoatFRXF+At4PgQwo2lXpzTVBKRUcAlwFrWVCGhrf4MuDaE8IErKeWTiByJlrD5DOgKLAOMBPYAfhVCmFTe1TmJyILAEcDsqIwmAOPs79VCCONLvDwnIxHpAZwA7IoaBCcD9wCnAB/4Rrl8EpG+wOnAAdb0CYpGcQHwlDuqyicROQY4Hg3cy+k84KoQwitueGp9KupqIrIXMAj4GlgB2BFNoDkuhPB6OVfZ8UlENgbeCSG80NhzICJbAD8H5i50vQWcF0K4tGWv1MnJyal5yQKQTkSTAkGTZCrAGLRixgEhhPfdttD6VHBAdQXGokhuk42PDyGcm413GbUSRUehiIxDE59fDiGMsr7uIYRJInIKcCwwNoRwc5nX2xmp1vMgIisAt6MBYfcBn6K6dk/gDNQ38VFrX2tnp8wXIUB3FM3y/6z7RWAx1A70HLBFCOE9f9+VSyLSH7X/7GNNrwG/RQE67jN0UqcSqYbv6Hugt/19OXBWCOFttwG1HbJ34GvAPMCqIYQnS76kTkemb0+tdCYiS6HB48tkw74B/hpC2LbGKZxKIguwXAn4GLgNeC6EMNH1Bae2SA5P7NTiJCLDReQ+4HgRGVBrjC10Q0XkFhRxajd0c7wrsBwwK7ChiKxu5/TfbitRhDmP322z3B/Ntp6EGm4noVkfLps2QCIyGrgF3Xz9BdgSVSCPB15AS38eAQ6FXgbF50lEVhGRF1ED4NLAcDRQeS4bOg5YoJSLdIrvvkPQEuG7A0sab2RDBqOGdqdWpuK6JCLzAw+i2bxD0ICWQcBewO+BnWycw6OXRCaj29DAvX+jhva5Qgg/CiE87oF75ZKI9BWRq1D94DPgbDR55ljUuH4ocC40LKni1PKUJThtKFqm8HLUEXIs8BM02WlTYG0LZHZqRhKR7iJyInAXsHd0XtRaU0RkB+A3aODeL4HlgdXRoJf5gItFZN1WunQnJyenGaZsz7o88DRwGIridj+6PxqM2pRXxtBa3LbQeiQiXc3RlCNHTEFl8jJq9+kFzCEi0RHvMmolKthQr0DtpQuLSAw2ivr0xuje9W+te4VOFlxZ63nYH9WttwwhbBVC2BPYE3gPtS9s2oqX6WRkvogRqG49EJXTX4FVQghLAJvY96XRvay/70okEemHolXug+oMe4QQFgohHB9CuMsD98onERmJovivhfpiNwMWBfZF16S9gTPBbUCtTfV8q6Zb9AKeAH5Ag8qdWplCCFNsfeluTcehCU03A1uhyL2fA1uLiAMRlUBxn5TtZ1cQkefQdWlXtOrZbagN3PUFpzZJHmTj1Bq0Iuq02BJdyOrRISji3gtoltQwNFDiYDRafQzwE9Hykq40tjDZ+tY1hFDJgisXF5GBIYSvgA2BVVEH1ULAXiIyez1nllOr0h7ohuvsEMLGIYQ7QwjPhRBORTdhnwHjROTH4AEtrU2ZQngIKqffotlSa6Lw2tujyKPLAT/Oje1OrUpLoE4qUFmNCCEsgxo2bkYzEncQkfVKur5OS9m6tIyhuW2L6hqXoAGvy6DIII+jxt1zRWRpO8Z133JoQ/T9djewfgjhYtMXPNCoFamR9X5VNGnmn8C6IYSjQggPWzmb9YFXgU1F5Ag7jz9HrUyiJXKvRgPArgCWAkahgf7/APoBP0b1CqdmJENA/hda5nsD9JloQCIyC+pIrADbhRD2CCE8HUJ4JIRwMnCyDT1TtHy4k5OTU5uhGkmbcc+6M7AIuv9ZJ4SwbwhhBxT59W5gNnTPuridx20LLUwRgcr2NouIyEHAQSIyPIRwA7oX2gENNtoHTchwaiUy+QRD3etrzYfb5xlmU51igbGjgQdDCJ+4ft26FFL5tJ1F5EAR2chsbyOAM0MI92cyuQm1NfRBbUBLlHPVnZdEZAy6J70Ltc89AmwerBx4COHPwEGonW6siKxtx/lz1UxUay5Nd6g1x2sD26FyWiWE8Esb3931hNYlUZSwWrQ7alM4L4SwSQjh7hDC2yGEy1FQlU+A7UWRqly/a0XK/d7582W6xfcoiEpfVIfw91wrUvSXi8jNwFMishAK8nBECGFsCOGOEMLBwE/tkBNEZLmyrrezUhZgGd9bZ6L201tQ2/ctaCDsYSKyN/hz5NT2yH+QTi1GmVJ3J+pk6oFudGuNHYWWd/gA2CaEcDdACOH9EMJFKLLEJ8DmWJabK40tR4YoEcygNEhEzkCzbu5EN8HdQgjPhxCeQVGNXgd+hMLOerR6C1PRsF7oWwBVQl4Bzin0LYdmjA5GFZRlweVVBhnqylZoVvwOIYRXzcj7WQjhT2iG22T7XKrES+3MNBaYEzg3hHChvQ97hhDeRI3vV9u440q7wk5MInIcGrByOuqQuj2EcGAI4R1gcgjhQdTgdBP6zrsQPGO0JamWUdAMG7OgQckAJ4QQ3o/9IYSJNs6DlFuYom5XbBORbqjhtidwVAjhP1l/fzQgrJc1HSBa5sufo1aizIC0EzAUTczYx/Twr80RshOqi68FbC4is5Z0uR2OMn37ITTZYgFgZxEZYEETuT6+LBrMclsI4da8T0Q2Q51YoIggc7T81Ts5OTk1jQpJm33i2iMiS6K2hU+Bw4KWIexiusAnwAko0v+KKBKs2xZagWxfOlhErgGeBc5HEV53sv7vQgjjgV+jNth9RMTXnVaiYIjiInI48IiI9Ash/BVF+OiFoYIBq6F28oi6Vy/AwqkZKO5Vo34mIuuLyKvAdait4G7gYWAAmgQIEESmIlzeiiK7rQpsISKOeNS69BKqjw9Gg/TeCyFMyOTaJYTwCoqmA3ABuP1nZklElhKRh0RkAUu+rHpPme5QscTarbKumFB2Ywjhi2z8JNM1ZivsldzH1wJk768GVS5EZAhq53kPRQnL+1ZG9bsh1rQiuH7XklT084nI/iJynYj0CRnCcvb83WOfy0UdvrWvubNS9JejAXtLANcCT4UQzocqZOy/o+uQAD9rJIjWqQXIAsVvBG4TkTVRpPj9QwjbhxBuQv1FEbDjfBEZFByQyKmNkQfvObUYRYQbc8xegCJL3Z2PyV6I86ClIt9DUQ2iUhJ/o79FF8M5gR1FZK4aDhOnZqJMMTwAlceRwDC01MPHaHZHHHsf8DtUqd9JtDSeUwuQPRPdMsN6PwuKQEQiVHN/1JjxeAjhM+sbJiKnohmKO6NGj3VCCIfV+DdOzUBNyNYYBkwBnjRZ9jAjvACEEG5BjYhzAHuIyMAWveBOSI2tH/Y8rWhfn4ptIYQJACGEd9Hg2P8Aq4rIuBa+XCejTG5PoqW79kA3zbdZf8+YRR9CeBkN7nsfldN2Nsb132YkC/6KjsRuIrKqiEwN5g8hfAN8a8MXi8eIyBgR2VRELgBuEZHTRGSDUm6iE1Cm2x0mWtoztvVAESrfR9EMsHFbos/V5WgJ0NOB+YOikDm1EmWG2NH2+U9Iz50Za18BTkFLc+yAIu44NQNFJ4U5nW4FnkPXnK3yfqPV7fP52Cciy4vIr4E7UGfvLcB8Zsx1cnJyahNkOlwXETkH+AOqF4A6nPoCHwJxH1SJuoAlc16LBvdtIyLrgDvhW4qyoMp10eCiXdFkwGPQveut1h8dhL9Ag/s2AzZyx2HLUG67tr+HiCKynIVWk9nEhh5qn7ub3XQ08D9Ut8B17JalGMBi+tlcwKVoYsztKDrye2ji7CIo0jVAl0wXfA31TXyGJq+v0prX39Gp+BxlbdFGOhGI5Qe7Y88NCVUnyukS1E63uCQ0HX/3zTgdgO5hYvnUqYFgmbwORBNr8yDxCN4RkcG6isg6IjJORG5C7ax/FZEzbD/rgWEtQPa+W1hE7hCRvOT3LMC8wItm30ZE5haR01E9cFfgRWDNEMIerX7hnYjMd17JZDU/+rztDNwgImvFodnz9yVqY+0VdfgSLr1DU729TLTDoXY3UP37+9wuToq5ORN4G9XD8+Bmp5anOVBQjs2B84A/hxCuhKk21G9DCNejMQ29gDPsON/DOrUZ8he7U4tSdDiFEN4IIfxXRBYUkZNEkfZy6oFC/n4EdJGE/BaP/xTNKhiPIuz8yNpduW8BEpHeInI2mn0zEa3/PiKEsAWKJvGVjctLCDyJGqXWFSuDZ5szX/SagbJnYrJoNvxhaMni20zpiIa+2e2zjx03Ds0gPQboDRwQQlg8hPBAa99DZyBzenSpl/WUPQ+zopnVAyGhT9lmLRqWLkefvx2B1X0z1jyUbahqrh/Z8/SxNc1u46uM6WbguMq+Hikig1vmijsnSR2E0a2q/e4AACAASURBVMx4fi/wK/S9JugzRQywzMb/B3VcAewpnpXYbJQZ0mPJoR2AR1F97RoRyUt0XWefF4nIpcB9qIPxVuD/gI2Bo4GbRGR1O5+/85qRTCc7DEX7mNfauqCG22+Br01XX05EbkCRlddCg44WCCH8LMraqfmo3ruuMGZ21PhUAd6w5riGxffZLShayILA1uaUdGpeegG4Hn1mdhRFu84TaKLe8LWIzC+KXH4Xikb1ArC2Zfr+t5Wv28nJyamK8oAI+z4Q1ckOBZZDkadA96qT0DKEX+e6WXb8k8ADaKnJHUVkFrfTtQwZIkQPVHceCVyMJmWeGUL4jwXzx2BMsfXmCjv8ABQ9tpgo7TSTFG3XIrIImvCyOFou8nfA0iGEm00eb6O2VdD90uZocOzuIrKviCwrjp48w2S/69kLbd2yv/uKyI2mn22FBu7tFELYJoRwIopcea8N30w0cXpK4X15P7o3Go0GLLsNqBnI5jo+R/2AwSLSy9qCjZEQwkOonRTUfjDVFmG21CjvGCh7loj0DVmitFPTKFsjDgG+BraVVIo42lTjPnQbNMD/1uy469DkwP1F5Gk00PxuNGh2ezShfW0ULOJIUcR/p2Yme56OQ4OHchoMfIfFBojIvsCfgKPQ4Nh9QghL2DPn1AKU2VMrItJfRK5AA483BMag8tgauFG0klYehPweqj+sIxk6n1PzUFyTarR3ydacP6I6gaDvvxDff7bmdA2KUn6WHf4zERlQPKfTjFN8hur4jt5F90ugiTQfxLFRPtYXgW32FJGl7Xn0PZJTmyD/ITq1Gtmm9hpUaVwvbsSs+ytUOVwBzSSoBVP6LKrE9Ech6pew8/oGbAapaLTNaFFgL+A1YP0QwvEhhI9tgxYXxqkBSiGEl4AbUQfiT9Ea8lPry4vIADdCNU6miNfNCAwJMWdXFA3xbBT5YxSwZTb0aeAbYDsReRgNWlkC3SDPGUK41M7T0z4XES2H4zQNaoJzXUIqGbCwiJwjIseLyLaZETEak55AgyVGikhEooobt2hsfwbdrHUHxqHGDacZpPi+ywKNNhJF+jrWZDQMps5/DxJS2BBJjvki/QN9HudDA2SdZpJMTHnprmEiMq8ogkF3GxOfo1OAT+zvWaR+6Zq/o8kBc6KORadmoMyQPkZEHkODKZdDs6gvA37Ixt6CZh32RN9nq6PZoueh+sbWqI44EMt4cwNU4zS9+q9lgMbg1vmtrRJC+MjaFxGR3wF3okHj/wHWCyFsFUJ4K3v++ovIss11H52ZCu+62UVkDqmBtBtC+Bh4C927b2jNUQePSOffAzdb39Yo2qjvkZqRbI7/jJZMWx0tNZQH939vn/uhjt0jSc6PJUMID9oa1100aHNDEemFk5OTUytTDIgQLXO3CGpX2AK4GlgxhPAXG/ovNJlsOWD5kJXMyxJq3gNeQe1Eq+DIEi1N49Ck2b+EEP4vhPCpNJ4IcANa2ngMMFa0hGsMkhkqIkvWs0E5NZ1EEav/jSb3HQP8PoTw4xDCszYkzvHJKFLlSPTZegTVuy9B0RTvF5GzRGQzEZm7Ne+hPZP9hg8A7hCRFa0tt/0MREumjUXfdYcAvwgh3BbPEUJ4ELgSte+sRdK58/fdJ2jCzHjUDrt2S99bZ6BMToegSX5/AsaLorKtamOi/+g8FP1wDRHZ0I7rmp/H1rA/ogk3MWDW90XTQXG9DwrecJw1n299UxP6zJ+wHPD3EMIn0Z8XQngD3RPdg9rghqDvu4PRwOV5gH3tNHsC/Vrhtto9ZbbQJlEI4X8km+mYrOsldO+6nog8jq5Bo1EQj7lCCFfY/4u+o9FSnZzrNJNUCA67FH0Oxlvfq6h/9ZeoHfs3aLnweOzzaEWGbmhgklMzkKTgu8lmt9lZRI4SkaPNbxuBUqKPKAaHbQ6MzvdJJHvd5cBjqG92z9a6l45OkgVY5s+SVAfeXYv6J7qQ/LFRX4gBlu8CJ1nfBdbnvgintkEhBGfnVmO0vN0nqIKxfKHvCXRhO8K+d836xD5PszFfAKeVfT8dhdFSAPnnQTbPRxVlYd+7RZlkbXOi5QYqaFZBb2sfhxoL9y/7Ptsio8aE92ze5q4z34JC+B5n474BzkUzp7sAs2TjuqAGp4rxvcBC2bl6AN3s7/4oIsg5QN+y56Itc/w9x3ku9OXvqu5oQFGlwI8Bs2XjRgEPoWVSDqzx/+KzeHJ2jv2Lvw3nGZLlEmgwV1FG/0Wd8b1s3C7WPh41XtQ61zA0yG8KWq5wybLvr6Mwmgl6CWo8/9A+rwMWKYw7xuT0VP6MFcaMtGfte2COsu+tIzFaWuhVk8HtwOrTGL8Y6ghZwb7n788l0CDLV4ChZd9bW2XUYHQB6niqux4V2uOaMspk9TIwe9a/X/Yu/BoYl/UJ0DP7fhiKzrNA2XPRXjnKw/7ui5Ykfsl++58AxwIjrb+Hfe5r8nkUGFaQa9wnzWXPUAVFThxZ9r22R87lk89v7EOD9r5Ey+OumPXNgToT47N0XtQprD9/jpY0mR9a9v06Ozt3TgZ2s3fVzcBtwP1Zn5BsBmfZuLvyfvvsap9bZe++u4Dh+Tjn6ZJLzTnL1vzrgMnAbva9WyPnisdsbOvThyji0QDUNvsKapMYVfZ9t3dG90Rv2DxPJtm1u2Vj4jMV7Qz/RQNWFkfLgd6P7lnjs/QJakc6ONcnnOvK4ESbt79kbZuhyMinmJ72cxszGdjLxuR6+QBUL6+gJXIHWbtk773eJq/v0cCkBcu+97bKKPr034Ah0xi3iunV8bf/ZuE5WK+gUx9ufQ9lbcV1acHsHKPzMc5Nll++B/q3zeXe9r2nfR5q7ePse5fCcX1Q1P8G+1I0sfMFO37Vsu+3LTMaUPwEmlyZt3ehsHfN++xzfZvju4E+Wf8Z2TPyJ7TiVuzLfUc9USTZ38R3onOzyPTHqM9nBTSZ9kpgYGFMPxQN8XOT0zHAbKjv6S47bsVc3s6Nzvm6NMHWjKInv509HxVUP7sXWLgw9kLrv6PGeeJ6tIGN+TB/zpxnSIa5ztYVTcrYB7WXjsjWpjj3m9jcT6Lgd8/ekV1Ivvkf5WOcnctkR95zajayiPSav6ms/VYUrWAMWtIpR5e40j4PFZFhQSOgu1jEeoxanw3dxP0A7BGzrJxmnETkAOASy8CNkeURLWdRmBqNvrhlf54EPAhcK1p+DRvzIZoRMh7NPPiDiDyLIr+tDzhMfYEsG+0bNJAI1KBEUHScqRRCCGjAw16oMrFZCOGwoJlshBC+sXMFk+FdqEI4ATgrhPCKiHQTRbucGDSDZCha+mtj4L0Qwrc41SQRGQt8m/3eqzLTC/LaGt1MvYzK83zMuYs+ZwPsmP+gRqzuaPmBle1/dbH3ZcwaWRKV5adocMXQZr/BTkBxDRKR9VCjxGqoofXHwM6o02o4mim/JUAI4XpUjgsB+4iWG5iKDGen7o3K5xnU0Ht+K91ShyYR2RYNatgXDWx5Bn0mdkaz6XfMhl+AGvyWRUt19czOE+U0AQ36/x8qM6fmo73QDfJZQRHaHgIw9MqpFBFBQggvhhD+EkJ4MnZlw4aiGdnfo44vp9p0IKpn7Y8Ga02luB7F+Y96V6bffYEiWUMqiQf6Pvy3/X1aSJnWvez4CfZ9HxT5tzu6LjnNAIWEprw96jg/Cn2OPkMDwk8BbhCRniGEiXbY88BzaJDr2Pw8JL1kXvSd+SrqrNzakd2aTnHfmcmnB1ShjEbU8YfQPe1iwA4x8zooiuVldroXQwiHhhB+ML2hR/YcrYYGO89Oeh6dnJycWpueQ4ONNkf3P7eCoqyYXSEi69yClhraWER2iAcb4kHcB68GvIjub9chlTOcioTg1DgVEQ2LlK35c1BdRWdKjeFVx4QQ/oSiKvZFkbL/jdpfR6KJ1a/M5OV3eLK1vEF5ruzvl9Cg/YGofJ639qnyDAkV7Ho0CGM4cEAI4YUQwsnoczMKdRpfgTrr+wJ3hxCmIpo7VVMmg19g1WNE5FAR+QuKhDwbGojyNRr8+joqo7gXmirPEMKXqI72DIpIurW1hxBCsP3s92gQzBtowqHLpj4dAayJ2gxqkojMiz47i6EoOUuigXfroUAAg9GE802yw65GbUCrisje1paXK+wSFLnqYusbZ32+Jk0H2W8+ohUdYp+xFHFE9F8NLb/6mD0flXyeQwjfhRDeDiG8Bg3sREPR5/Nd1K7qVJ/GAssDu4rIoNgYUvWfASLSG2ragD5DE/z6AN0zH+3v0LkHuCqE8LotdbnvaDgayLwt8HwI4fOWvtHOQCKyKFrB7AD0/fbPEMJeIYQvou3Unqf/hRDORBNuvkSD1H+Bvu/Go3a5NcHRwhojEekqIpejwXc/kRrVlWzeu5vv72ZU374e9UNchfoV1gUuEpE1s0OPRUFWNpOEBhtLi0+xz3tQJOzZMd+vU20SkdUb689sdWNRPexGFLnyEuAB4Epbo+L+6M/oO6wranfN5VKx/WwFDUQHXeNiaV2PY3Aql1orStC5YzPV2YSzoEaI/oUxedbn22iW4YZZ/1AU1ryCGg6Lxw9BjYa/Rg1NH1BA73OebrktjSrx/wO2z9oHoihHFeAPaAbof9ENWRGt6sTsuO6ooekTNJOxghpLPJM3zVE3UiZ6zAaYDTUOHWDfG2TLoEbWCnCsfZda46xvCClb9H20PES/rH9X1LhYQY1XjnDUuMw2t7n6khoIhWgGzcOokekfqCF2aNY/HymDYxwJ2W1xtCTEZHvOZiucdx00S/hIEqplg+xg55oya5BRi25uf2/zeHRxDHCCvePuA1a2tk1JGVbjMASk7JiL7X23FmoMOavse2/vjCKKvmzzfnp8LtAgyog89WF8j1rf9tn7busa59yHlE3aozXuo6NwY+8aNAP3EVSPqJk9iJZrL7ZJ8dxoyaFX0eCyTcu+77bI2bzNhZbV+gZYozBmfeBJ1LgeUXnzeZ6VhHS9XNbezXSDmJG4CdVZ2WNQY1MFdfiu0Zz31tkY1Zf3Rp2IEU15vqz/QZvrczI59rV16nt7161V47z72Zp0jh3/czK0N+cmy2d+NDD8apvLLYrziOpob6AOjy2y9uiwr6DoBKtmfUPR7PrP0VJ5h+NIOs7Ozi3EFNBvrK34/XjTvSrAYXXO05OEcvQFsGquT6NOw6/QRM5xtk79hjqI2M4N5rfKroMisOwP7IQ66qfqcyaLi0joK03e16CVMg5C9e03TEaOGNa0uSvau3tTA/EQmBt1ElaAyxs7l8m5ggZfzmVtxQoc/Wf22jsLk/wN+1Ntr/4T1X6HXiSksBfjHBeewV52nomoTr5gcYx9X6zs+26rTEK1WRPdW94f32U1ZBYrzDR4Zkx3vsv676G6qsy2JJS+2QrnjJ+9gJ3Kno+OwsCdNufn2/fZScmB02WjRu0WL9r59in73toqU40k+TzwL2B+a4vVly5CbXJHk1D7c7TQuVEb6iSyqjKoTeIAUoWn7YDB2fF7ZDK6EUOtcm4WufYmVVqagtra6qIo2jHr2nswgnZEZOzzcTt3Y3Mdn4Pd0D3KC/EZqjF2JOqP+JyCXRoNVH7U5vyPZCiUJJ/DSzX+b3yGF0cTDHxNqj333Uk69BZ1xnRBg5BjxbNv7NnZ19anGLdwFZmOhvprf7B3YESqbICshwb/VYAzy54PZ+cQggfvOc8c09D4d7gpkq+YAn82sKz1dbfPrqZYVOwFO3d2/JLZi/ZuFGJ9OGq4+pe9lEdRwxns3HQ5Ze390Ey4iTbfeTDE+sB/SGUbXjN57oYGquySKZnzFM47wsYs11L31B4ZRV/7gQxKOXsuGijapI1YbzQ7ZAJNDFhFS+LeRiqB9wiaxfgGyZB1Gl4ut6my+509AwvWeO9FY9LdKIJBLAfZhbRx3t2UxJewkg3WvhWa7V4xJXF/NEjiNDQY7C3U4LSOjfln2XPR1pn6Qa0bRznV6FuaFCBZAXbJ+n5uz94PwE0omtEGKApFBbjIxvVpzvvojGzvvIttXvet0T8nGiBbAR4o9MXn8F3UeDXa1qIYxDIJRS0t/T7bA5ssGoWJRzfNj9j8bpDJaEtUH/w7auy7D9iycOwgO34pFFkiOo7PR1EQvKRN7TmPjoj1qB28dRVJN7uk0BeNRufZmJ/VOP4S6/sKRco+Bw0u/9raH8YTZ5pDjqNtXXmFrPQNMA+KqviBzfe3KOpHlN2iaPZvBUUN2QVN2BgGnGRyvww1fC1T9n22B6a6dHcXdF8UE5By/hVZMpK9p6LR8Pdk5cCANdAydxU0mPIBNJkpltT9CNih7Ht3dnbuuFx4tw1H7WzzYgl9JIfSHCRH1NSA8TrnvMPGvYcm1P4UuAZF4v0U3ScvhgZSvAnMUfY8tAVGdeNp6rUmn3w/GvkRFHU3yuwwa7+XOkmYtp51raWzocEWuQ22K54YWE8meenHbmjA5N9tXf8Hiia2YDamK2rfmYjuSReL8qh1XjSRtgJck49ryu/Fuaa8Fkf3MPHZua0gwzi/C2R62oG15tzeZ39EdcJjy7639szoXqZuMlH23qsqBZ7Jax3gKXRfdFB2XDdSMNnZRTn6czTdchLqvIOoXYp4PpPtVFAHGi/jPj8aGLMOal+PvqZL8GD/pspoJWoEdaP2gU9JulzPrC/KNPqHGuxBUV9RlOtzNva9rO003N49vbKaZslNYGGSffuaescV3muDUH18Qr7WFcc5N5w/e8ddCBzeyNgYUHlp1pYncGyF2rinAAcXjn3Ojo3ALF2L1+A8TRkdS7I710xyRf1376ABycUy4luhic7fm6xzIJsIclPLJxj1jpVQ39/YsufE2TkED95zbiY25TtmY1RQ1I9XSVlQc9q4+DJeBg1Y+QYNzMsXwrFooF48V775PgULdnJuklxqoU8VN2GjUePT98Ahhb6haCDRanXO/1caiYh3bjBfK6BOvC+wQIaCMre89e1n36Py0IOERLWOtdULUMqzqwai5fWezZ6lD9GN2JJlz0d7YJKRooEjg4Sgt5jJtYIGH4/IxkRZdEMRRSOa2CxZ+3L2npyYvesqqJP3JzZuEIpY+jIwsux5aeuMOjgOQ1GmogzHUcjqRDMQT0cRDiv2rKxVONcQNIOxKJ8YcOmIBc0ntwFo0PhHwMJZe0+T3zMkFMyDrS8GQK9EMgBOoNrY9BGe3TY9csiRBwah0PLnoAH861KNtrI7CYnlUXsXTkCDJWN7Bd1Ab2Zr1JxokN5/Mxm9RYYA7FxXNkUdrgdqNJ/VvvdHEUN/IBnDF7e++KzsiDqizsZQeUhG3T5ohvX4TDYT0OD1gxq7FucGsqrrgLW16SYsmN/ksAMJFfEH1Ckfs3pzNN85UcdxlM87JOPtK9TR2Z2nKa8e6P70e3QPewyKCHoBGihZsXdcjki5tMnsG2DvwvnmJ5Vvq6ABma/Zu69/Ns4DJpydnVuEba25CN3/f2H8Z2BDqm0Qu9i6M54aSFLZejbU3om5fS7qeD/Kxkfbw9plz0HZTHJC/aROf7QVrElKsnwCOBhFUX7I2p4CNrax86J2gQqK4ts3yqkg19GmL6yT/6/C/5+mc9k5QKoeE3/zn2R/P2cyibIcTArKu7TO+aJ9Yg6SjWGVsu+zvTOaBHMjye72OTCv9VUF8aF6dwVF4BkR27MxgiK7fYzuWdcs+/7aGxd1XNSpvnKhbRDwtMlidWsrIlB2A85EgyVuJgv0Qm3oE1BdfJla/9e5SbLKfXL90cSwYjWs6J84m4T8da79fao9f90Kx+TP3QUkG0V89rYq+97bAxfXb9Qmt3O2/ve1dSra4K4CFo1yQwPLT7K+qdV8SPpdf3s+HzYZfYza536L2ZKcmy6rwlqyAJpUPke29ud+olj94ksssaLeOyyT19ykRI4paLKAg9w0Lpc4d92ztjz5MsomvtOmVj0rfPZF7URTUETZHARnbZLvtX9+Xucmyyf6To9qZOwvbZ6Pi7Khev/zf+je9z2q96dzob7XCvDjonyK71ln57bApV+Ac/tme0FuY4rCFFMQl8r6Y6nP32LQy1nf4egm676oVGZ98wFnoHDAj6KoHyuWfb/tldGs6ONJzt1iBulP0Sy2f0T51VIwCkrOAFJA2eiWuvaOxFSXnLmPQkk7YGvr+5gUGBad7Zdb32kz8H8HoQFmI4vPmnOT5zAq8kcDt2TtUXbRgPEmhjZaY8zaJGSC1QpjFkQzt29GM09PBQZk/SuiwRav4iXWpiWrkSaLiVRvmo+29sPs+z6owSgGGI2bxnlXRbOwbkIzfHcs+17bE9dZU6YGG9v3Aahx/NGsbUO03E008l1MnaxPNFCigjqqNkSRYvcAeuf/s+y5KJuL759Gxu2HGsKjUSjK4A6qS64ejAYNfYoGHV+DOoLXNJnebMf92sb3M7n8Aw0mH1fr9+HcQB5FR8ZQUmBQcU3ZjpT5+QQZ+g1J1/h74ZhiRu9ywLJogk6/etfh3FBO9d4zVCdYDLKxfVHd8EuTy3Uocl531OhUsXdZHjQ7N+qw/4/J+U17Nw5o6fvraIwG+z+FGsDvRPe0IwpjliEFG59CQq7qheoSE1BnxyLxN5Ad2wct+7441WWK6v5OnJ2dnWeUszVmE9TxGgONbiGV9P4WOCI7pisp2OUMaujZ2XkF3RMdZO/D/UhI813QpKdX7X+MaMl7bQ9Mcq7+C7PF1RjTFbWXVlCbQt+srzcatDIJtY0Os/ZoU3oV2L3GOTdFg8Y/A9Yoex7aM6PBQfFZuhBYBHXCjyMFqt4OjLHxAqyMJo99Dqxv7cVApmhfOhV1MC7UWvfUkRkYaJ8RjfyaOuNmQ9G/KsA5dcbMZWPeApYo+97aKqOB4mOwfYitBcUgrhgs+U8K9kwUwboCnFLj3HHtWQu1h36AlSrM+iJy/EVlz0V7ZzQo5XkUnOMLdF+6QWFMb1KCZp7g/A6qS+yP7p1mLRw3ArX9XIgnbc6MjFYiBScvVej7MbqvjTaguUj+iIOt/YZGzt0LDUafAwcNmBHZ5P6HEahP/AOT1dv22x9YOGYuErJ1g3fgNP7fAagd9h1fo6rmpTeGPonZ36i2dQ6z5+MvZAF81neDyeJn9r0Bmijq23vVZLpCoa/K9u08XXKLenGOHJonznY1jnMcA/CiLhDfdUOAq23MlfkzRwIfeDaeGw/4d27DXPoFOLcfrvUyQ9Ef3jZFZGzWPhANCHslU+R3pdqZMY8tlFNQ41PfWv+nuJA6T7fc1kDRwD4ANqozZh40ICUaDGuVFsiV0NFoidAKcEbZ99ieGEXieJxqKOV8bmPpx7MK83+AyfH+qJQX5BSVnGFY9hruYG+qTOoFFRUDJXpk77NNrC0GWQ4kBVHs1cj/usjG3IgZnWqMqeUwOdCOuxV16Hcq2U7v/ZJKEa+bta2NOj6eRhHzoiwvIDMgkgJmF6Y+TLcr902XRTHzcDG07PCKNDTozYc6Or4BVkPLP35vcroHC4woHJMH5g0jIe4VjYx1S3h0Frb3VESQWqrOGLF3XSwH+TlwlslrVxQBZAoagL60HdMdRZlYiBolT1A9JKKCxaCXnmjwmZdub5rsapYAQo0RFbRUyqDCMWPQgKIKqjtExN/+qCP/K7IyoE24Bg82mvYc5e+6pdASrPuiDquifPIAi09RA+DGhTEXkBB3Fq7x//qgQYBzNed9dCYm6Vf/QPW4M6Ms0QSnqIdvTsqKXyU7fgSaZDYFODmXLwVDcdbuOoSzs3OLsel7T9o76/y4RqDlUtcl7YFWyI5Zy3SDzzD0oyb8n1p76J3R/dbjNFKCt6NzQVe7B3XMDq4zdjOTxx9q9C1CciRWSGUle5juF/dJl6KJMxugJY1j+8/wUndNlVnR9hPRqa+3uTyyxjFLogkUU4DzoozRxIxYeu0OUoBrAzurc4vJcxFSgNFadcasZXrdh1giVFEuZCWmnWvOYV/TpZ9EqyrldrWeJJTxfqQA8t3zuUaT+qaguvh8deTQjYROunqhb25qBDE7T5ccVyUlNk8E/p2tI5+hAQ95YPk+Wd/maKDEO9laFQM1zwLWx0q4o0E1Xk1r5uUVgVIuItO1bM1aiFSK9QFgO+tbFA2AfQ5HaWtJ2XRFkZPj8/MuGuAf31+3k0BTor1gIzTp5W0SgmhdH0j27hyAVmmYqtPTye11aGWEk4DN87nK5xQYhfrIJ6MBr11ItrntbT5fIwV3FdH3+pCqD0ZU7KjnjUR9t/uXPRdtmVH9oAr1jmodeQQKGHRVjWMfpFqXqLUf3cnk8Awwe9beC7WNV4DTy54HZ+dpcekX4Nz2ufgSJHM+mVJyJZZNaG2bkko9VdAAvai4L1Q4146ow+oFYKVCnxszpk9O9WCVB6Dl7iagWVPReFt0Jm2MBj28gQU9ZIpJX2A4moFzBknpvIvpcPw6TzUC1irRELNCRmXPzsjsuCWAx1AI8zOwgBV7BnOFJ2Zhz1f2vbZlRg0852ff66HkDEODjeKz8FOb31ezMTHYazfr+zcNkUbj5moRFClnEopa2uh7Dg2IOcHO+wFW9qYzMGoE+nX2fWo2TT15RXkAV9izsnXWvgzJiFFBy0YtmPX3IJWCWAhFSNiw7HnoKGzrxy22FsUSj08BxxTGxazDT0mb5s2y/m7Z+3IdFBI9L/NxECkQowHabGdnEsT8jY2MWQ514I6nYSbhEDQ7/gfgt3WO71aQyS72P29AN+kuj6bLKzc2zYbqXeOytlGoUWMyWtqp6OiYHw0smmgy3Qw1Nt2OBmYuX/Y9djQ2OV1HtfOiYmv/ZoWxXUgl8fbO2qLxb0cSosGJJN2vZjCnc12ZNChhnLXNBvyGVGboJ3l/4TwRGeSyfP5RNMu4n1293vHOzs7OrcFowFYFOKFGX1eS0+IlqpNgLow6InUCzRr5n8NQhLgK8D/MWdyZmeQkHFxss7/jOjQu1wOsbSBwJMnu9l9g/hPaagAAIABJREFUm8L55yMhyxf5FWDTsuegPTIalBL3kD1sbZ+IVYLJ5Brlt6fpAK+RJY+hdp/n0aCkGHRZq3Sx63HNL8Mom+NJSUw9a4zrhwZdxvdelYPeucnzHRFG78PAF9Dkpa/QIKM5rW2sjXuDLHgIWAFNsP2Whrah+LzNj+5lP8ABHppbfnOSkpt/SUISH0Xa+/w3X6Os/1/Wt799nwO1Ix1iz1ys4FBBEfdqos92VkZ9C/fREImtrr07ex5WQv13X1OdsB7ffaNI6FRfoYkbMajvFWBo2fffEZiG/vI+2brzHnAoCahmOIryPwFNCsj1wVnRxPUKcG0T/3dcr86w4w4rez7KZtQus6OtJQ+Q+avRIPPLSBXQYgLnY8D82bgR2btt33yu7e/o/7vTxmyf9XXNP53rymgl4Cisahm190bL2fxOwqr+kPx1h1jfXykkx2SfA1FgiAopeDxPnv4W2Kns+XB2nhaXfgHObZdpiJazOlqS7g6qAyJmRZ2x3dDglZhtc1dUCEkoSMdSbSDsh24OpqBBgL4Jm345NZaNERemVUwGnwI/rTNmtkxZ/BXQ39p7oplwH5ICLr6ksKl2ni6ZzYYGsVTISjRkil5EZ/tD4bj9UGPFt2ToHta3ACko48lc+XSuKYNYIuPgfO7t76gs7m1jdi68C2MA2KH2PS9l97f4rmvkf0dF8yVgnhr9I9CSh0eR0Eu/Kj67HZnRgOFYom6ctRUDjqeWaKpx/Dl27En5eNQp9S1qHByeteew3HOTAtB/VPZctGfOnqXt0HLg8Xd/IYpC8ZW1nZCtOVuQjHxnF86Xy2k2k+PDKHps/F9ds2f0wLLnoK1wtr4Mt3WkgiGI1hh7qfXvUmjvbu/F+F56nUbKaaDGq/9Ds07fBZYsex7aC1M7e3BbksMjzx48wtofJEOHIOl385KMeu+jAa4RPXmHev/PebrkFed6DKlUzbNoeZo9SNnxn6CB+/F5nN3Gf0R1MHk0CkYEzA/tHbpG2ffanphpB/vHdWNrUvb0+TXGRXktY2O+pdrpODupZNevcEQJZ2fnmWRmMAAY3dfcb7rXSll7d1uPoo78DXC49cV33MJooPkU4EfTugYbvydanvJzUvLNT8qev7bEmY5wGXB5jf4Y9BjLP+0IPGptk7HSXY2cfxU0YPPn6B5rp0K/B5M3XVZ/sHnf1r4vas/Kd8AcBXnGz/7An+y447L2bvZ8VNDybMPz45xbVI5RBv3QxNoKZkujUNIVWBy1T1SAXcu+9vbEmR49EkV/mgxcnunUX6OBfTliW9yDnp619ULLtX6L7pUaVAxC7UnRWd/L32vNKr9YTvXarC/qBXPa2jXZ5LpYNmY1O24CheoLqM6xAGrbc5tq7fn/j83fIfa9qvoPGgC+Dlr5Kgat5H6JaN+5ncw2lPXPTgpOfh0t0f6cfV+leD7n6ZJdg0pN1r4mikb5BFnVBJPhxWhyS9SVd4rnss9lUB/IN6SKGXXlQ7IXxSSO3cqel7bAKCLy/TbX49BAragHPIbZpNFYhvus/XBSVa1Z0NiFCoqsPKLGnPdD7aqV/J3o3CT5dEN9nRXgGky3tr4DTBYRrOEsG3dH4d24HopS+SGp8lxVZTo0luFJ1Oe0So3rcPu3c7vg0i/Aue0zsCAJhjeiP51PoQQdCk37Kupc2rXQt68d+zaWsZj1rW/KyUPUKLfm3GQ5bWxyGYdFpWd9XW0B/B5FQlzU2ovBMGPRDfObZLDz6KbhL+im4Ag8yLKpMiki4OTKRK0SDTEYqR9q6KhQjWo5GM3cic/ik+hG+hpSRsFTwKpl33tbZzQLo2LPxEBry5XB3qhx4vNMQY8b5lXt2InxnZUpl2uRgu0WKfzPaBwZhAYd/Z7aJXIXtt9GdBD/kk4Ia08KVLmb6qCtrsC19vsflrVLNsexJNR9+RyjWb0Powamm8myHFFD7h4khIOzsRKfzjMlx8GkYJYTqS7rsAwa1PUV6qjqgTpAYnDtr+qccyMUbayIUhGNjLH81DvAvGXPQVvh7PmIAcSP579xewa6oGv9t/ncARuSHFMV1PhU6/21FBpMuQfwCMk4tRduHJwRmW2FIkHcgDo14u8+L885mITe9n+kNauo452NOkQ+IZVPvq7se+xIjOrhFTQhqYjAezRqRPwbVr7L3nfRiL6uteUOxdvRYPLfFN93ztOURa7Tjbbn5xB7N40ujO2OBt9NsvleyNqrkPrsWXsa1Q2LiPHroXrdMmXfu7Ozc/tmtDzdHcAY+x4de7UchbWSmP6BOgDjHnc9qu15l1OnpC3J1vB3ppEMiKIxP2LvzvfR5KlOWyp3GnO1YDb/0Wke9y0xKOUxEspRRALLnVrRFjG0Efl1LY53bjBHDZzumSwiCuKV2XP3jLVFZN5aKL6725inC+edi4RotVfZ996ZOJPNjjb/r2FVaKx9EBoYMwfqSP6cDMHKebrn+1DUflBBA8BvIPNLZO+vldBAsO+BJbL+hdDSq9GGsw9qUxiGBidPQG3km7XmfXUGJpVmj4ntUVbxHbgUyQ50ZuHY31r7Ffbd7T3Tnu+43qxPspXlVZcGonpa9FdEfSDuT6OtZ14SQtgu2XmLNqBTUfvPV6j/qcI0kgKcmyzLoSgCWyyduhqakBGD/QegwbGvkRAsI+jGY1Qn5PYkBeLdg9lpG3um7Ji7cOCB4rxsDnxhXEGrxlxLVq7YPre2destbM9l7aOzeb2PLAkd1RniWnVZa91TR+Bs3tdF40c+QPWwzUh27juABWzcbGh8wtSkGmufC/WDV9BAzVhhsCtp/Rpu789vyRLcnZ3bG5d+Ac5tk7MX6i4kZJy/oxvf3tQIsiOhSpwWz5EplWtki+bVwIDCsSu11L10dEYV9qhURH4fRQvLg1YWQTdcP6AlOHLnYJT3/Nk57o4LpvUNxJCRnKcpk2lG8FNdouG3WXsM4NvH+l6scew4NOgil/lnwOm4kXZ65BSdE5fb9zyLbW3U6PRL+17MsL7Jjr2yKHPSZuyXNf5nNCI2WooIzVA8EAu07YxsivcONdaLkSQUt3uBzXPZ2N9Loka/h+zdlct2M7SETQUNmrgBNWjEDOGJqIGwV9lz0Ba51vuNOpmH1ncaBRTErG8ekkPjRQx5Ci1VHcvmXocGMM0HLIs6U74xOZ1W/H1k545lIq4pe87aClONBPG0zc/+hTE9SE6qhWzeryYZDu+lEJicHdvbnqlouK+gCBYLtuR9dUS2Z+NWktH2dVQPj/P6P6oz38ei+t0rwOKFc0VDbn8USWdCdp4zqVFGqjMzM4iIgqKzTLB3Wa9C3xwoenmc94NJ+l5ETnwyyo5qNOWtUcOVB4VNv0wG2JpRKfCXqKN2UDZ2BdQB8jWwKwXHlf09FE1Em0JKhIp6XYN9lbOzs/P0MmrbiahrR2VrRf6OWQxNqliCakQjQQNSHkYD6rZBky2iXva3gu4wFZ0qaxtAQufbtpHrjO++pdAk0uFlz11b5WyuTrR5/QsZQiu6b40IPBUUsWXlrL979jsYheqH69T4P1PtFb4ONUkufUglPqOMlkSdiQ+iaPy97BmqmF4WkeKlcNyCqN38v1SXXxM0eHbnsu+3MzPJXn4Zqq9vQ9pXbU0de4Jzk+ZW0ECHXM++kxQ8XlXRydoiWvVvqdazh5AqYEQbd9y3fo0jI06vbLoU577GmH72fEzBKmxRI7gZtU1/a+/G/B03dyavWNrQA/iaLqNfU+2TGGA6QgUNuPsbqWrGwxRKD5OAUv5BhhCWywGtarMd1TagLcu+9/bGNASw2QQN+qoAT2TtUa+YFTgXDVaeDBxv7TEZsEEQJWoDinuAI6dxPYuS7LbP4KWQp8oI9QVMtrl5k0JgI9X+oRi8fAmZjkfSByto0Ou1aJW0WIXmWTyWYWZkdaitOzGg+Ds0IC/aQ+P7a59svgdkx6+fPUc3ksWpoDa7mPx8Stn36uw8M1z6BTi3XUYdRbHc7RFUB4IVkQh6og7aCRiKmPXF4L1dSRlUP6DOQzcoTb9MamVWx1K3D6DOwLtNSXkX2LMwdmd0A/AMCe2tC8mxuyLwXqYAnt6S99PRmIalptdGy8j8Es1EX68wfnFT/H4AxlpbbpiPAUb72/fcyNsLDULaCA1s6XTIbM0gr2429xVSBk5v+zyZLHsJqhEP0AzQuPFdJsrEPkeQSgetNY1rcKjmpslqDRrCzkdkgv+h8PR5+eJhaBDzJCzLpvBsjUYzeiLU+SQ7z11kGcDOU+drbrJSgvXWb5v3xezv+Kz8ETW2LpuNG4CiwcaN7/tYqahszOYkHSRmpMa/3wC2qHMNeXnD14Hty56/tsTZ/Gxpc/le9ozEvgut7yFUb6ug2aKbZeeJhpF+qPM4ZobuhiInnoobM2ZGTqeSjBQRka0XaniNwfvXk4waQsp8P4/MmV/j3D9Fs3nHlX2fbY3RoIcGa4Z9n5bzY0vUAHVR1tYX2J9UquNjCrq5jYvoe5+izsRv7Puf8UzRGZXlfKiDqYIG5R2FOjj+RHJe/KJwzDHW9ySGfE217rAIGvj3JlmC0/T8TpydnZ2nxcBPTDd+jqxcOoo0EBPIJqA2n78CuxSOv5QU+FBBg463zvq7klDjV0LLEvXO+jeljp7tXFdmNRMoqba19QfGm0x2zMbMhpa8jQ7YqFN3L8hlIIrIW8HKRDnPsLyOQ4PtLqIa3XBeFE3yayxZCU1o/wRFCdmmltzRAL0K8FTZ9+ZcJZ+4T1qOZHeIZQsr6H7Iq/80fT6rEpqz9u5ossy1piO/h9qp6yFcDicFRWxSkNVcqP/ocXsWn0D3ti6n6ZNVnlw+HE1SWpwMfTLrj8ErFxblm8l8eVQv+YCGCHAxWbdB8rpz4/JBA/Jj1aWV0MDiCuo/GpiNiahUp1Dtm+1DCvY7lhpJmZkMd7XzNoqq7DxN2cUEvmizOZwa9hq08sh3aBWaHLltMKqnT0FLtud9XdEqARW0LHJjqHsLoYkft/n7scHcfI4CCH2EBliuGec3n2v7XAH1n38DbFB4/62BBobFQMCYWH0ZhUBa5ybLJs777agfrmLPwRaFcblvPVb0OSJr64XaX2OC2gv2fjuLGmWSnZ3bK5d+Ac5tl03RqABXFdrrOe1jNtse9j0PNPo5mgkSA83OwoNWpkcW9RCNRpuCcVbWNgRFjZqMon+MyvrmQgPJpqBIicWSXlehQRF7m5J5UNn33h4ZRTD8Q0G5i3/vTyq12gstcReDJAZZezSmr2N930bFEFXm3THYfLKK5VX/Zt/jxvYh1EE7X41jorJ5QpRdjb5jSMhujuA2czKKwd/3FNoHkzLh3wAOL/TfYn0/LbTn6GOj0YydtbAATueaMohlbGMpjXzTGw2te9uYnQvHPoWi5M1v37cnlficApxYGJ+fezY02OJ36ObuJhoGpdcKavfkgMJc1um/zeRwfqF9OxJa8vfAgYX+vIz1fmgpgVzX8JJpMye3uVEd7GvMOF7oH23PVAXYMGtfDc1c/JIagePUQWSZ1u+kszDqsK0Azxfap/UcxXfgj+z4i+37ZvZsRP3vHLK9kY3JS0hdb+O+QR2Lp+JoyjMjz5jN+weqEfb6AXuSAvi2zPpGoIEwU9CAv2WyvuVJmfAnt9Z9ODs7dx7O1unZUbvMFNSONhC148TyaK+hAfsxCakCHJatKaOy9ssK/yPX4fqiKEevU8e54Tr1NGVWRJTaCE1A2pTMsZfJ5qcml/FUo0SsiyJITEHRP4rn3ZaEEv9zvCLGzMhsDhJazkcUUNpJiL1H2/c5UQSPKegedomi7Ekoyg2qMji3DUZtPtfbc3YHVr7auUlz11iVha6Fz1PsWbgZmLfG+LhvOpiENNqvxrieaEUAD0qZcbn1AS4glUyN+sP+wDzZuE1ICbWxXGEtG9urNm6Dgiy7UkgicG6SfKLOF4ED7kWDum7OxkTf0Iaofe4zLKkjO35T1G70Llmp6uwcXfLxzjMsr74kW8Bh9izliTFdCmOfRv2y28T+7D15IsnXd3nh/wygCZVL7LkbUva8lCSLBoiu1h5RqkeiwconobrbjaQE3QbPASkA+Q6yhI6sf00UZXx7CgiXzjMkv6GovfsLUoBrXHtqBVhuQEp0Hlk417Yk/1LkCaivsG5Cu7Nze+HSL8C57TLq2JiMGS2sbRbUubUsmq24M7CC9UUUl/eztkFotkAFK/sBrF72vbVXRpHcLgWOBlY3xeG1bEGLmU/DSPDbl9Q4RyyFchOahbgGCbFlL5NTp1QCm0FGm5CyOh8AdjJ5bGnK+8dkQZH2PD1IlkVAtVM9ls2LWXAeuNf8MnvW5nhb+x4DI+6vMz5HOnrXjv2xtcXNdV/re4Aaxijn6ZLPAiTnVCyRGx0gPYCzSahsx0YF3daoCrBPlFfZ99JeGXUaxkCumAGab6p6ow6lz7N1SNAA5evRDdmxpFK2FVtz5srOEY1PMVA5TwCIa1yOruhBLfXl1aWx33smo6VMppPJDH2o0zcie1ydtfcsyH1H1FD4b2pkcTvPsPxWsTXoUfue/+7js3CkyecRqsvdnWvttzANZ4frEzXnJCLiRH0gn/v1UOftZajTY658HlF9+gvU+HQrKZP0TqrLC8Xnb4HC/xYU2W11f55mWo6zoLrdRJKDY6rB3L4fb/KpKnOMooe+aX1fmzwfJCEq/7UoO2dnZ+fmZjTQ5GUUwWgL4AB7B51AQmZbNNMHvkdtQxFF/iJr/zs1SkKiwWIR9fXo1rqvjsqoDegFm8+I7P86GtTVrzA2BvYfn7X1RBF3vrS+P6FB/PujTqkpFNB4nKcpk5oIyqhj/Bqbz4hmdCwpkXZNa/tbfHZMB4zOwafs+ekDzAOcmcl7mda6P+cZ/l24jl1/bmoFNeS68yA0ce9w46HZcxWDJsbYM/Kd6dTFxKVo8+lOKnm3X1Ovx7nJslyLVI79I9S280SmL9xLqhwz0vY3U/0OufzRPdRgNGH6K7IEd9yeMD0yKSJRxmehf7YWVbCkdDI7hH2/wPp/Q0MgjrimXY4jgrWkDK/Lnqm3yEA2CuNmR21Bn2HlbO1Ziu/J01Hf4MdoAF+DMsbUCVDr7Ex1VYQBwIIUAu5INtOVbT36HAMaKoyL69fcpAp0u1IISneeITnVC7CM770xwNKk8ranknTuWrpIscR47jePe6jtgd1xW51zB+LSL8C57bItgF+Zgn44cAjqeI8Zv5E/JZWWjGhjnwMPkwIqnsZLEU7P3FdltqFoer8pzPv3aFmne8lgs7NjVjFF8FNgnay9B2pcjCW5vsvO+Re8PNfMyG1+k0kFDRzqm/WtQzJOPImh4qBGi23R4ImXMfQiUhDY/Jl8/BlqGbktYPP7jn3fx77HcsU9ahwTg8e2t7H/zRT/KLsGGTvONee/0UAjGxMdVv+gYbByHxLi0WTUYDEbsIO13Vj2PXYERlGM8s1SsUT4FKxUBtUbqZh9HRFInybLdLd3YDRirA/cUuf/10QNc25UZsujwZO/QNFA58764nzGYK8/UK13jEXLrE2y9Sw3koyy5yy++7y0WvPKbSWb2zcx/S6T11QHic19haz8LYoc9jwatLQzbnCa3rlfIPtdxzmfA83WrRT4SbLMW2BhUknjCuowyfXvbtm7rr8dv0suV+cmy2laaIhDTR/4DhjeyLjXTFZ7ZG0DUePgRDTo5Y/oXusBYPey793Z2bljc7b29DYdejJaivAlqtFYcj086mSPAUtbW187Jgbw7YU6SpYDriAFiV2IJ23OsKxMTifYXE4E7gbON1lEfeBsqhOWVicFiI8qnHMTNGB8CtU6x+NY2a/8d+I8TRn1o4AKb+0/Q5E5rkMrkkxEg/r7ArOigf0vZ89TF2BFUjBM1NMjiu8HeClj53bIqJ0tJsg2lvx3GAm9Lb6f3gCOLB6LVpf5Dg14Xbxwnqm+DjQwvYIGqXspz+aTaTcSCMBlpISz3qhfL+oGP7f2HigqbCzf2uBdBmyF2oUetfekr0FNl0cxsGtp08Xy5LFYKvUH4JDC+Gj/WZBUDvLHVOuBY9B97bdoEIvLpxlkVaN/XjRwL6K09SjONUk3/Ku9B3eqcZ5XUf96DP7fpex7b+tcY56PQRNv3zUd7iaSnzU+M13snfedyWOx4rlI+65xJBvfNJEPnRuVVTHAchgFxPBs3rc2HeB1MttpNi7qC4uQdJDV4zlwO6pzB+fSL8C5bTOayRtfjpGfRg2IJ6HBXnFxGw7MhyLDRWPUJNSY6NmhMzb/cZH6mc3pQ2hpwstJpR7+WefYPiTo39vJ0JDsc23gajTI8gkKpQidZ0heMeN6k6xtMbT0RgxciQhiV5EQwmYDbrD2i7NjY4DYRahxcN6y77Gjsj0LFTQ7/iJ007wHhUxRG1ssY3O/HXuufS9uKhwhrPacF4OUh6FlaQbnY+yzHykwtkHpVvu+KylA9veoY2QSiioxtOz7be+MGgEjksRS1hbRPWKphxjIP3UThaK7fYwaeS8rnC8v3TXEnqXJ1Cnd5dy4fLK/+5AQV3J+DgucJAURDcn0iW2zc8xKKlkdA2evQhHdYvD/s9Qoz+o807KcHzVEvUXmqC3KGkVhjoFmw7P+g0iIIV7CePrnP+oDx9r3w+z7A2hA5FEo4mGFhuXcz0SN5q8Ci1pbF6qN8z3QwIkKhbLhztOUTXHdb7C/tPkeau+nT4DV6p0HLcse91f5O3RjVO9+E9PpqXaQeFCss7NzizFp/7MM6iiPSK4HWHt8h0V9YCipssJBmY63MsmBX0zafBvYrux7bU9c690PrIAGbn1EIZkFTX75ELWLnljoi7rGdbnM7e++qK1uB9QJv3bhWHdUNU1eve13HhNrh2Z9I639l2jQw9/s+wnWHxOnN85lj5ZhOxnV0f9pusbpeGku53bGqC0mJmfegSG2F98vaHJSBGn4AC3rvRnql4hgDZsVjhmKJr9UUFTLiBZb6x0aEd9+WvacdBS2fUwFeChri3pBN7QEa9QF1rT2Oe1dVrF163TUlzHC3nkTUZ+G6w3TJ4t8bV8buIdU/vawwtjoV7io+KyQ9MJDbMwjFPxDpKpnp9Z61pwblVMXqvf6c6JIebVKeP6fzfPHJHt40QfUk5Qk8ED2nK2AJnlU0MT1ITga7PTKal0S0vUkVH97EvU3fILqdPlzt5CtRxPQgL/8XZiP6wPcZec9jRq+QOdpyiafzy4238+h1em+sHUl+pJijEIPVK+ooHujBs9D9v47ycb9iRogK87OHZFLvwDnts32sl3VlJMTURSXASRo4OEkJL41rU1scVwJWKjse2ivbEr518CSKHzvbzJlsReapRYDK9ez9qKCv4gpNZOxzXCNMYNcKWlWua1sykd34CfZ8/EmsDmaYfU6mlkw1o4RElLiJ5iBloTg5llTLS+3fiQDxkRSoOW9qLF3beqgEqBZ2BXg0rLvoz0yWoLhEtQI/qYp9VdjgQ/ZuE0zuQyztq6kILGuqHExlhx4CQ0yGh/HO8+0rNa1uf2bfY+bqIdQBI/56hx3TjyO2tlU26GZ2xXg0LLvs70zmok7GS0RsA9acusem98XSYHjUaeIaKPPUiitZuvYHaQA9K9tDTum7PvsqGz6QzQcHZPJq2gU3IvkiD8va58VRVHwku0zNv+5PrAoGhBxC9XG29lQB1Yt5MOHUePhDRSydoGN0ECMCorm5wi9TZdLbgxcC7gNdVy8gAZNrpT1DyahHtVNTkKdV1+azAZQnaV9bianea3dkzGcnZ2bjakdyFCFImDr+Xv2Poql1PL++N6KgfuPF87XxfTsi1FU0avQBDVp7Dqcq+ewltxMVhGZd/+sPzoG+6J2hP8B71CNPD4/avfJbXmNoov7GjRDshuL7n2+Bs7LZNcNdag/Z3Kal4RGtTUJTfGGKJvCefuZ3jBb2ffo7DyjjNqmHzVdeO8a/QNRNKMKGvwwJusT1EZQQf0VCxeO/REa1DyeLNkPLTW9A4bIhyL6N0i06eyM2jaH2N/FNSiu+zXXC1KAwwX2vWeNMRfamL8U/ufvSfaFb0m28a/wAMsZleVgtBJGtC/8CwUN2Aq1+8REjDWt/xtgdB2Z9ycFmx9KFsCClmpdpTXuqSMx1frwKBSN9wU04OhOYLfC+FlJJagPzeVTGLcUaq+Iz1Jexe56svLG9uy532/astqElHh+JRmyK4p6HQO7is/PDrYePQesUeibgxS8vh2qGy5d9r22Z0ZtntEvN8Wel1jxYjwwyMZFf9JK9sx9gVY3m+rjK5y3Pwl9dLfWuh9n5zK59Atwbn9cVChITqjNy762jsQkA+wztjjNa+0xOr0ragysAA/Ukg9qlNrbxjwGzJkd64phy8pvETQQYiKatZGXX7vdFJg/YGUMgVlI6FV/xwMqy5BZDGB5AzgwUwojvwpcY4r/fCbLqYgHZV9/e2S0ZHSEnf/SfvsxiOtFYINsbBcUWr4KoTLvt8/lSUbGyIuUfa8dhe29NhWlDRht77n7G5HJYHvfTQE+R7MQtwC2tPZJKKrfyWRGDOfpksv2aIDdmsDvbM3PDUI9UYSICnBKLh/7OyKJRcdwHqgkKPrLGDRYeUBL309nZzRQdhJqxFg7a+9C0gNPQh3CX9rYBu853CE/o/O/Fymg9T/ASGvvls3/djbmHbIAcTRRIz5P41HD4qEossRkUlap6w3TL5chpofFtf191MhXQREMtiYFux5D2v8Ug5Lj2rQmSb/rW+gbg6L5/g9FXPSgCWdn52Zjqm02K6JJSgtn76D4OZK0r7kbQ9Ql2RbiZx9SMNiy+TkK/7d79re/16ZPZuvamrIpKQgsIqhsX0u+wAKk/etFBblHBOWHMPQW5xaR21YkJ+KJ1taNVKVk1Uy+T6DBsheg+9bxwAK5TIsydnZur4zaB/ZFEYkexvaShfVnEnBadkwf1Fb6vD0/sTJKf/cXAAAgAElEQVTDaUCfbFxvtGRrBfizPV/7kBCTDq61RjkH0MTxT4ALC+11/ThUV76IqPHX0TD4IY5ZgFQmN0+AGoQi992JJn/+FUVLcvvPjMszJoS9BGwzjbFVqLx1ZLctGkz5JrBc2ffXERgNooy2g4o9fy9n388mK+1NKvn9DqksdS2de17U3v0uGpT5NrBX2ffbHhn1KbyJ2nx+XGjfC7XnRHn9jGpb+Oxo5YspaCXBvvbOPBC1251a9v11BEZt1dujSc6xEuNiWf8t2dpUtM8da8f8mYbJAIOxsrvAfqivcImy79fZuTW49Atwbh9MMk51L7RHyObfF/ucZ3rOu6BBDhUU5Wa+GmMGkQKMds9llY0ZSjIqnlP2fXUGRg0VMcPmmKw9ZmFHQ+E7ZFDpaBmON1HHpEMAt77cupLQLKPTYxm0dOSvUWTEPCDsSrKShPbMeqBE0+d7iWyDdRZWLhcNirwQDUR6iCwTF81e+wENgFghyq3GuQeijpI/1np3Os+U3BaI7y/7HoNe97fvPQrjo5FpFIqOVKnBVeVXcWfItGTQwNlKQjccj2aJRkdUd1Kw0cr27HwXN7ukAORYPuUTYERRfs6tLuMupFJ3d8Q1KesfjgaVnUoqM3CF9VU59J1neP6jQ+NNMmNtYVwsI3Vu4diRaNZvROfLM+092WnGZNIz+62/iCJ6CBrschaqv72CGXNt/Ic2/jisxC7V5dp3s/7fFtcu6z/MdI77KaABOzs7O88s2/vrzyTk96/QAK9BhXHbow6/d4BNa5xHULvQ42hA/0p1/p9k411HaFw23Qrf90WRU2KQSm8UAeIZa1vHxtXal+6LOm3/BsydyaE3KQCmLkqsc7PIc+1MF9sf3R9tYt8vycaNQR32EXnqNax0rrNzR2QUNTwmWZ6ctUcbztQKJGjJx5uzZ+kMe46+NZ171cK5l0WDwPIgvwoa1Of27voy+Ym9g14EVre2PPB+DBpotDsaRFT008Xgvd9jNtZCv6BBmLegwRJ75H1R/jbOE2ubJrOagZVoothXtq7MmY8vzHf83gCVtygb+zuiXo4t+947AqM+nwgosB8a4D8QRe99BLWh5pUuupICkS6axrn7osFjq1Jth3DfUcO5mhaq6CVkZdrRZJp7s7XlNtRv9wqZf8HGroHukyom01ey4/Zr7P86N1l+w1Fwjo8wsAdrH4Kivr+ezflYqgEDRgD32Zp0rLV1QwP978GR9pw7KZd+Ac7tk0nILhU0g2ADa/eFrnnneVVS8N7cdcaMJRmWomMqR9MR/r+9+46Tq6z+OP456fQWOoaOCChdIPTeA6EroQgiIh0EQUCCNAEFFZBepAiCSFUElF6lCj86Su81AQKk7Pn9cc7NPDuZDSm7O9nN9/163ddkbpm9Mzcz997nOc85MTLnUxqkwtfUIcdt9rxg/JhM10zc/FZBElWwy0gic+XyOb83Kr3R7GM3MI/NQw2WzQGsT5RRObLZ+9pVp7zRNWqjCn/YYJ1VqGUJu4bMiJPLTsj5N7Xx+mMbnJr9XrvrVBy7Q4lOxi/zZmycIH7GDSgfSARSnAAMBbaoW67jNmHHoD9FY11+p17P4/IB8N02tquCX66otiuWXUZdJ5amph7jBYgsCC1E49LuRBDsHkTA61dEgPlMuc57KFi5PT//8hp8QN2yqoF9+fz9G0VdpiOiU2QRooz1IOoaEDVN8HGozukbEZ2Dd5D3O8U6vfK8NJpolK2Ck7+fx/AjYsT8NMU26xHBMJ/UH5viGH6DGAQwisgMq1LUmjRpmqSp/vqWCNx7Ln+jns/fmqpD4+zyfE5kHDiTCK64ojonEfdUvYt13s11vt0Z76m7T0TbzPL52b6Sx2vbunXOyWN2YYPtq/PXsnmt8AGZdbc4bttTGygwe7Pfc3eciuPwYyJj70dEcIsRgyzuAeYr1l8+rw9G5bHZr9nvQZOm9pwoBh3n92Bw/j49Ry1YrP6cNRu1YJU7aZ1N5585/wLqgsWIZAJnEtVnziWzmWtqeFyq36rZgd9Ty9ZeZQfvT+sM5NV0C0XgJDFIehRxX7TaeP5eleRhl/Htj6avPW5l/9vSZLbWfH5kfsa/zee92vpcqd1/Vll57wL61a1TfW+XLL+Dmhp+nnNTZOcirpkbZcf7BpEU5V2K0uDF8j2IAMzPgJ2L+csS7XGjyAyINB7AUf9bqqC9Bp9Ro2NTLKv+3/ervhNERaxX8rtyA7UMiNfmvNOreTm/NxHA924ezy+JzOYLNPv9d6WJ8QRY5u/bBRSliYlqS7cX56tq0Nr95W9lrvt94n7o8zw/ldXQdmjr72rS1J2npu+Apq4zAbsSnb4PFz+e9zW6uNHUrp97VXprz3xePwq4F5Hdo4VMZ19/MiNG9U7X0fuqaezn3Y8IPHqPLHdH65Fy1+X36NI8bgoEm4ImasESu9Qfuwbr6sZrEj4boA9RMuMtsiR4zu9HLTClhci+N6Ru27mLm7TtdRyacmynL64DRubjW8Sot6MoRmh/zeu0KvPe7PfVVSZqwVotwLeK+UOoBaosW37G1Bo85qOWDWzT8rMnyr1/ksvWaPb71DS2UfDe4nh/Xvx7aF7f9SEad98jBwNoarfPv/rsf5zPG2W9PJXaSN+y8V6ByO17LE7Lz3nXuvmLE9l6P8vlf6MoSZzH591c9gBwFnHfVGXVOZXx3CMBu+R6l1CUA9OkSZOmSZmINrVViQ7d0cC+1DpCvpf3R59T1z4ArJ33RyOBMxu87v7VuSifq3Nj8o7T/ETH3kgic95bFBlYi2vnDYn71XeB5XJeo87bl/J4j1PiDrgpj93hbW2vabKOZXUv1JvIrlNdE+wE/Cafjx1wm4/bEVkVX6yWadLUHSZaZ7qZh8h2s3xeS7cA51XXu7QuxfqbXH4RtWCyKoiiCkIeTSQOaNW5n6+j0uATd5zWIIIp3wW2y3nVANpHgV8QQZHPUgsAX7M4N11CLYN/GcDSqzg+/6BoE9I00ceovO+fOb87LcB1xfwqUGXXfN7mtVnxfSmz8o4z0F3TBB2buYlB5rcxbkbQuWld4nuz/Kz/WPf7OCdRyrMaIP08sHLda52Uy25o9nvuqhOt+wQWI6r1HE5Wl2u0LrBUXp+9T11GNmDnPCZvAtuW56F8nI/ICquBThN3nMYbYFn8eyaifbo3sCdx/9RCBFX2z3Weznk/pQhQJrJU7kK0040krikup24gtSZNU9PU9B3Q1HUmYAliNNbrxMiqHZq9T1PDRNxQVxlVqhG69SM3Vs11hpGNiqjRr5nHrCe1EXEn0boTscq6d3TeJBzS7P3VNM7xq75zb1ErdVwfEKtyQ21/fvWZ1pYDVqy7KF+KyAb6WDFvY2qByC3EaNOGHeVElrcW4D9traOpw49z9Vv2P2A/Wo+Kasmb6QuIEXELEI0f5Y25SntO2ude34B+c93yKvj4xHzes8G2B+U6D5KZpIplvybKVc/VUe9B00Qf8zmIzv5bicCkyykGzuQ5qypBoBHY7fvZt3kNXjzOCbyW623RjP3s6tPX3bMQgf1V2a15c96swMFEQETVQLtD/WvmetsQWXTKc9RzFOU8GvzN6hw1LQ2CLTRp0qRpYiaiw/xoaiUDXwSOqlvH8nz/IdEhv0axrC8xQObTfI2riA6ODakNCBxJZmXW9XW7HLNbqA2cuDvn1ZcnnJ8oTdgCXF13LKsgiqWIzCzvUmRwLc5Tq+T2r6H72o46lmUpyCor75fAv/LfO+Xyqu2nF8UAQ02autNEdKyfmL9JI/K7UFW9eLbReYRa5pxBDZbtRW1A5+2oo709jtH0RGncFqKNdBOiP+4iYKbqGBD3qtXv2C3AwFw2T3G9cAJ12aWIbIvDgcdR1tf2OF5VdYuHicHo1bnklJx/FBMwWLm4LqgCYl+hyAyrqeFn1osIQO5VzCuzVJ5RzP9NXtMdWsz7ca73g3zelwju/3dxrdCw3y6/Z1UbQxVkq77YCTtuZTt1H+B4xs0qeiG1SmVlgFg1ePa0ahm1trrFifuoFqKK0yI5X/dFk36syvP94sT1wwHAVuPZZuX8/Xob2LFuWVXa/SUaDD4nqs2sR5E5U5OmqXVq+g5o6loTkX57WV2MdPrnXnXSn5DPG43mrdKq39Ls/dXkAMsQjfKjiJvp/ak1AD+rG7ApeyJGaY0dAa9pgj+38qJ+nfw//3HePP20WNaXCI58jWhA/wORtaCFCFBZvMFrlzd3VXbLsemzNXX6se5JBIy3UCsXuTyR0eAyItilvPE+F5UcnJjPtz7Lbqty0Pkd+CA/282L9ZYvPvMqyKVn3Wv0Ah7JdfYq/56u76bsiQYZwrJhYxTR+D6XGqba/TNv8xq8+D7+JNd5A5ih2fvcVab63xtiJHRbQftVqa6diTLEVaDyGGDoBPyt2YmMFOsBm41vPzRp0qSpIyYi0O5JIlhiBLVO9p7FNdqceV9UXTuX5b6XoVZe912iQ7G65vsPsG6z32NXmtr67S+uiVco7nVupK58Xa5jwOZ5/m8BfgbMXCyfBbg4lx1bv23x76eIDi5lAumcYz+UWjYQtaFqmmomYADR3tYCvAAcl/cxV1LLnncdtRLfVYDYo0SW62/m/D7Fb+UxRLvEXfkah+jaul2O1bfzfuc9Ikve+8Asuaw3tTae7xCZQkcTWauqdX5EtMWOIYLKfgisRQSajc75P2j2++yqExFgdymRlOE9IrBy5rp1DsvvxJ/JrFPjeb3+dc+r75Pau9v+zJYkBvA9VX/9BKxPDNZ7I//Pv5+f59N57Kp2nCoxwPnAQGplV1uIAMBZGvzdMpBsD2qD11VNZtKO4+75m/Q8cGyel16mVlWhb65XBehVWS7LgZvVskH52/YMUdb4UBpcv2ua6GPUVoDlMcCCuU75vagGNh2Vz604RhsSweMt+d2csdnvT5OmKXVq+g5o0qTp6yeik35MntgWynn1HV6L5MVow9K5mppy3HakVt6zmh4gS6pomnKn/M6d2Oz96IoTMBtRlq76P/943jANJhqZjBhJ+qdcXo2KepEcyZuv06u4Sdse2LLu76xarq+pKcd6YB67hxosm4NoMDkalQaf1M93OjKTF4xbYpgIlGwBXqzbriqp8qcG21aNvFtQC3xRMHkXnYjg5w/zOKqsSsd8xm1eg0OrclAPAKc2e3+74gRsTYxuf55ogD8LWKlunQPyOPyvuL64ktaloKryXQsAW/E1Dehft1yTJk2aJmaqb58p5lfXbf2IUndVQNgGOb++qsKa+Xs4tlxesWxP4B0iu9EPyewEdeuoHWgijhMNAseL83s1oO8+2shKncd1T2rZD+8mgiYOIQImqmw8S7exfVXy+B7y3ldThx37qrN+JuDA4rv4DLBos/dPk6aOnqiVFLybcbOxHUxkkRoO7F+37Irc7td185cjApdOIzLH3kGDgbiaxntM6s9J1TVDL6K95zNqfQkz1V8z5Lp7EJn2HqfIGE4ExbzAuAEXb9dfX2iaqGO2EBEE9hVRGvcNauWkexbHcBngI2KwxSCKNoScqufT5XfoO8XfWApYpdnvdUqeiHv+fxGBXwfWX0MRAZXV//mPiKCwhevWWYoIPv6MWkDRvbSudNEnv4/TATsASxbLpiNKWCtT/8Qdu3XyuncTorzxPRTt0kRfw2N5PA7NedX3pupvOqLB6/6SSBJxHLWKTrq2nrhj0+gc8738vXuWCLA8jbiG/oIIwKt+y3oRlStuJrJcrlS8RhW8Vw58/hzYEt27atLUcGr6DmjSpGnCpjxRtgB/Hc8642Rk0dT047YMUUbgV8DgZu+Ppkk6huNcuGoa7+f1a2oj2rYez3oHUhv9dkbdsrLEbv+8QXgSlRKa4iZq2Y92yee9x7OuRmBP+Oc6O/BJfrbLtvX5UesUPLiY159a6ZrVct44QSrATUSWxD7Nfr+aJvj/xSzAutloWI3GbgFOQpktO/Jzb/ManFrjvBoFJ+yzrD6vHkRj9++L/8cvU8vC+zqwN7WyQ5sTo+erEhutGgLLcw9wZP4GKoORJk2aOnzK37NyoMRAIrvNOJ2uRKDDzflbdmLddlXA2Az5O9ZClAwvg5QHECX0WqgrV9ToWk/TeI/bhASOz0l0ArYA237N6/2cyIBYHyRxCW2UJQS+S3QotxABf63+L2nq0OPfO4/Zq2QWTE2auvNEBKBU1WC2z3ljr6GJAbZH5rX4Q7QOJFqi+E07mwhEOi5/O4cDqzf7/XW1iXGD9hbM41FeFywC/DE/9/8V91FW9zgH0V7aAmzT4HV/CJxDZPbdV9cLE3yM6gdXVJ93byJYtWqv+1vOb9TmVg0CuAtYs8HyafMYjyJLuGtq83jMA5xO6yCv7YDrgbXq1j2C2mDlkRSBx3mtVQXzz0dkRmzJ37IhxXo9KdpKicHpI4D9yECy8f1/0dTmcZyGWmDlbcRgpaVzWdmms1mu8x5FsDmwEbUs5Nvm93EOot+1ur/qQYOSrJrGe1x61J+XivkPEAOZynvS7Yn2u8/K36783vwzj8WQBsf13Hy9c3Odo/Xd0aSp8dQDEekqriQuTLY0s3UAzKxXuYK7f96MHZO2ufsT7n6Wux/m7tc2e39k4piZuXtLs/ejqzCztYhRny8SpZuuyfk989HMrLr2+Du10rdfmtksuU4Pd/8y/70JEZy0IPAHdx/RiW9HJsz2+XiimfVx91FmZuUKedzN3cc0Yf+6JHd/nwisg+hYovz8ivP/gfl4opn1z/U+AA7P+aflvNENtt3a3Ye4+8gOeRPSEWYjOlX+BKxOjApew91/5u6fNXXPurc2r8Gr75a7f9W83es63H20mc1KBKJ+A9iHCALfEFiUyKp7GxEwMZTobIL4v34f0QD/ONHZTnXeyXPP9Gb2G2LE9b1EVgkRkQ7l7i3u7mY20MzuJX5/bgbuM7O/m9muxbqPEZ2Mw4hg/BVh7D2n5zqfEkF79xKlvrcptn8NOIHI+vHXuv0YjTRUnbPNrIeZTWdmvyfKsa9ABLTMSmTP+4uZ7W1mvQHc/V3g5HyZw81sxgavXd3bnkycy/YHDiJK6C7n7ju7+/vFeqU3iQEYq7v7udX/pXZ62zIeee1wgrvP7+73N3t/RCZX1eZWPLe6VVqIIAeIDDoU19CW95JXEp3uyxGVZMj1niEyx35ABBpfQ7RRzEAMIryn/d9R91W2jZnZJmb2L6I07kvAtWa2C4C7v0Scq14lsoxtX75OXnv0dPf3iHLHEAEv5Tovu/v57r4nsK+7n67rhfGrvkv1fQHFddooIhiv+swXyGM6uvreFef8XwEPEm0355rZYDMbYGY9zWw74r53J+K68e4Ofmtd3WHE4L59i3l/dfct3P1OADObIec/RGQCvZD47VvBzL5VbVQdW3d/g/juvUNcm7+fr9PD3cdUbaVm9hOipO4HwP2eqtfL9dV3VCi+C63ORe7+BRHU+l/iXmg4MZCl+m5V61WDzftTa9/G3f9BBP/NRgRePkT8dh5KlFD+a15PP9pR7607ys9sjJktYGYnmtlQM9sNmJfINnqIu79tZn1zk78BpxIByD8xsznzdcYQxwfgWDNbIa8z5si2uh8S2Xz3J9qyj9F3R6QxBe+JdBF5UbhRPr0i5+mGS6QDqfF8oq1GNODd7O7vmFmvsmEq72+rm+TnifKezxIdHGeb2XeBuc1sRTM7j2g8nA84hfzdkymLu79FjH6ciyi1Ms73pr5hQybYicBbwNZmtiW0akgcnd+te4GriPT0v6o2dPffEI0hy1eNvwo26hZeIbIcHA1s5O5r5P8B6UC6Bm8/ZjY/0eh9F9G59DwwyN1vA8ZkYMvuREPgbESwxCLu/jFwKTFKd2vgT2a2EDBDxodvSwS7HEgE/R+dgcwiIh0mf3/6mtkhRLDdQOJ36g9EwPFGwIVmtr2Z9cvN/kFkP1oO2MLMpssO+LJz61ngYiITy25mtny1wN3vdfdnMxCtPjhDGpiEwPHdi83PJDrel6EWUF6+dtXh1OLu72RgxG/d/RR3fyL/j/Rs1DHl7m+6+0nufl+7vVmZYPr+SHeQ54IeRTDY/PXL85/TAVWn+xe5rGpbqIKSXiKu0UcDG5vZBsVLnURk3DufCCg7FVjE3c/riPfVneU5fw4zu5CohrA2ka2ohbhuuMjMDsnrhruAKlh/sJnNlNtXx7VqZ3s/H4dBq+Ne/l0Nph2PPF+X36V1zOw8M7vQzE4xs/Wrdd39ZSKI9VVgYeK7QbG8JV/rbSLo7GrieuMKIsDoTaK9exUiQ+8e7v5qx7/LLq3KDLq/mS2b81oAzGyQmT0FbJbtpP8krvEOJYKMVge+D7XrtuIa4GainWFeoo1hS2Dh7M9Yx8yuIkqDDicy+j1ev2MKPqrJwNRyUFKrIMf857NExmuI6/KRdcsrJxGlVfcws9WL+UOBo4iS1PMQv59nE8FgD7frG+rGrEgKlNcShxKBkD8jAvbPBy4nyrKPgFo/Qgb8X0PcP61EJPIgl11OBM/OD9xqZncTVTQOJO6pbnP3L9SWLTJ+5upLFelSzOxWImXwzmRMRJN3SUSmAtnpMN7GHjO7mbhB3s3dLy5v2OrWs2xw6gOsTGSRmicXDweqrAavAvu7+w3t9kak3WWj4tHufvjXriwTxcz2JoIjHyPKr40qvj89slFwmVwO8F13fyS33RS4MedP65nRUkQmja7B24eZPU90XnwFXOXuu5hZ3zKg2MwWBX5NlMs9y933zvmrEEExSxONvG8TZWsG5KaXA4dmR4mISIczs5WIbHrTEvctFxXLhgAXEAMq9nH323P+VsBviU6n/TKLRP3rzg+cB6wDrO/ud3T0e+mu8rN8GXiGCIrcHVjZ3YcV19XzEUF9hxKd6mu6+/9y++qa+gOitO7LX/P3qmt0ZWIRkU5hZssRA7wWIwYAPgL8ou76+nQic9Vf3H27uu2r38KBRDD6F0TA0b7u/mn5e2Zmvb3IkCQTz8xOBn5KnJeOdPfrzGw2YC0iK9UMRNDXOcCyxLlrYaLd7ZR8jbFttGZ2JrAXcJq7H9y576Z7MbMFiQoWVUDeV9QCX/cD/uyRUXdO4BBiMPrlwN7uPrxRO3i2mR5OHN/5iCDL14Df6fpuwpnZ7sS18TXAdtXnbGa/IzLyXQ0cVl2nZXDSFkRg14fAnu5+V/31mUUloJOoDdIYQWTjWyif30tcrz/RwW+xS6v7TVqKyDA+nAj+ut1bV4RZkMiMuCZxrjquje/OUCKQ7J/uvkHdsvmAmYHPv+7aXMbPzFYlBpi9S/TRfUZkBV0yV1nM3V+quxYw4nfyKuANYLC7P5nLvkVk1/tRvlY/olTu4R5Z5kXkayh4T6SLmZAAGhGR9lL/m2NmSxMX859XF9wWZetGmtkpRPa1o4ETJzQzkZl9h8h4MJi4qfsSuNvdz2nfdyMdTZ1U7cvMpgX+RYxk+6m7n9qgoWkA0Xi1PPCguw8slt1NBLhsDnypYCORSadr8PZhZgsDLxIlcC/0KONUv04PYFui5MZrwFYeJbuq7Xcgftdmodb5cWbV+aFzkYhMDovMnisA97n7m1UmiLrrryrQ4RZgfaLD4vq611mT6HhfjFoQxHtmNjORNWJfokP+CI+s5a06rTKzyBvu/j4yWSYhcPxMd9+3WHYFUbJwbEC5iEgzmFmvuiCI/YhMeD2ITvLpc9GFwG/d/f9yvWWB+4lApNXc/f4GrzUbEXA+IxHIfKS7/7ET3tZUw8xWIzLuvQis5+7D6pZXgUgvEYEP9xJBECcRGXm3Ae5w9xG5/lZE9rYPiOz8z3XSW+l2Mlj/NGARIuvhhcDtRBDSkcSAsRPd/bRcfyARGDYfcIC7X9LgNVsFvhLZ4uZx99c7/h11LxbZQl8iMnptWQ30N7MlieOwIhFgebHXSt7OQQR//YQYULO/u49oMCi6N1EZYEsiO/YHRDvDn9z9qnwtg6mzSpOZ9SfaZm5093PHs94cRPWkHalVfRxNtGsfX2Vby8DKbYhAseeALdz9xQbt3bMTv4GLAju7+2X15y2ZMPX3sxbVr24lBi7NTQxuWrMIfl0O+A0RYHmaux/c4F51ZuLeaTfgvPq2PTP7JlH6+B13/28Hv0WRbkVlc0W6GHUaikhnKkZNbWNmjxANF68AD5rZ8dnpMTJX/zgflyJGP7Upb/yqv/Gku58FbOjuWwM/UOBe15M3cQqWaEfZIHtcPv2pmX0jG5Z6ZsMVRKmUxYjOyJXNbOfiJdZ39/U8UtJPdQ1MIu1J1+DtIxvtLibKm0xjRbmOYp0WoqTQU0SA3jww9jzzX3c/nsj0uwywubtvUwTuNSxPKCIyIbJjY2uig29vM5vB3Vvy+mtZM9s4O43cohTrIsALRHmg6jUWMrNTiVJ3iwFPAr929/cA3P0TYuDFk0TGgvVyfqtrNXd/PLO79EQm1yb52IsYKDa29FPhv0Qn4pfA+ma2eLHsOGKQ2Y+sdekuEZFOVQUtmNliZjY9cADx+/Uj4FvALsR5aQhRbrAK5vsfUAXinVb3WlUf4Xfz8VSijOSQ7JyXyVQF/hCDLmcErikD98zs22Z2BrXyg68Az+cxupko/9mXKPF5o5kdbGbXE+etafPx1eLvyETITGC/IK7rjgY2c/dL3f1N4vwPEYSyg5mtnc+fIgInZyK+K/Pna43tc6+7Lx3j7mMUuDdpsj1mx3x6lJnNmPOfBv5MBIntAixRbPMekRnsBeKae7NcVJUNb8nHUe5+LRGEtAIxkGNwEbjXy1OHvskp10bApsAhGaA3VvWbY2ZrEEGvOwH/B5xAbTDmhsBlZrZmBuiNJvqXrgIWB34M45YgzgFMx+bT3+V9mQL3JlLVRpb3s1Um0cWIc9GJwPeIYP2XLapk4e6PAb/Mdfc0syXy/nfsfWne055HVMTYzsw2yr/XK5c/7+73KXBPZOIpeMMllScAACAASURBVE9ERETaZGZzmtkfiRuq5YhRbncSo3IOB87PbHwQI3Y+IdLSD6wu6K2mej4dcIRFxj3MrEcx6s2KYEDpQqbiRowO5e5/Ixqi5qJ241wGEn0HeIJoGIFovK/Wqe+UFBGZEuyXj0OIUdStOjkAPDLt9QFmJxoV688zwzMw+d3cvmqAV5CliEySYiDKM0BvogOwv5n1N7OLgEeJ66x5cpMeREcuHqXS+prZ/sDfc70xxKCkZdz94fwbVYfHg8CVRBmhnS3KSzWk37XJN4mB4/PB2Kw5TxNl23sCByo4QkSaxcwWtcgmejYRWDwNkXHtfHd/090vBY4CXic65LfITYcDZwKvAiua2e8ssvGRHfqrEFl2XgKuJQImds/OeZlMxX3Mcvn4CESmKjM7nMjG9xOi0slgd9/A3d/OdZ8n2mQ/Iq4b5gH2BAYC/wEGufvPNWhzsixBBEFu7u7HuvvnZraUmZ1LHJvliFKqKwLfN7PpPKrR3ExkFVuTyNA7TgBSRQPMJp+730985ssTgXaVq4HbgFWALavAvvQYEWQ5O7CTmQ0oApeXMbOd6v7GV+7+WfZRVNnKpuqAMXe/jLi/WZjIDFouq35zdga+CZxBZHA7kghGXo8I6hsA/Jz4DgG8T5zHPiGCX9eAVvdKlauI+6Z/A65r8IlXJOY4Brg7511G9O/NQhybanDTyGK7O4hjNC1wRPlahf8AZxFBzEebWb+p/fsi0h4UvCciIiLjswsxauoZokFwJXffiBitdi0x6m0/i9K5jwCXE53tBwOrQdzIpTEWZUD/AOwDLJ3LW6qbPTU0iTT0S+ALYBcz25PsKDaz7xMjr79w92OJDuLl2n4ZEZHmc/fPyNHVRIaDsnxHj2I0cFUq8lPqNMhQpeAWEZksxf3I34gAh7mJDqM3iXuiR4FL3P213KQ30aHex8wOITq1TiMyGZwMzO3jlhusAo1HATcSpaLWJjpOpGNNUuA4tbbzk4FjiLJdumcVkQ7XKNAYmI6oerEskQnp7syW08ui9CPAP4DzgdmIoIgB2Sb3FNEWN5IIwLjJzE43s6uIc9jiwO8yU87RxflO2s+z+biime0CXA8cTwzW/Lm7L+ju11cr58CCMUTpyOuJDLIPEO2pK2Ub7U2d+g66obz22xO4zcx6F21tPySC9rYkAmFfJrL5VkGxLxAZLb8isvItD+NeX0i7qtoRDjOzBQByQN9lRPDrECK4j1z2GXADEai0KVHVZH4zO44IzDzLopz1OG0KCrhsFUx3Yj4eVD/oyMxWJIIp3wQOcfdh1fnI3V8hSn8/AawLDDazGfNa+hEi2/nsRMbzHtl3NDZAL4PJNnT3jaugyg57s91EJtDoUfx7PjO7iQjsX77KkAcclI/9iLLsjX67fgN8CHyvyKxXZt/7EvgLkQFYGfZE2okuIkRERKZyDUY1VfOXBg4hOpXWcvdbq2U52u0BIqDoB0SDBsTN3IPA6sC5ZjbYzAZYlPncjhgJtxMxUu7uDnpLIt2Kuz9LBMQC/Ba4O0fbX0Y03p6R69V3EIuITKnOJ4Lytjez3YuyNy3u/pWZfYvolPoUNQKKSCcpOoveJTpilweGEZ0dG7r75cXqHxOloBYgMiCvTXSsL+zuh2XnU98q+MLM9gZ+VW2cgWI/AxZy93s69I3JJAeOu/vo7Ez82N2PcffP2rp/FhFpT/n7M42ZLVrMewI4F/iMyIJUZWcbk4HhZEawm4hsR2sD2xXb/43IEHYjEaS+N7AN0XG/e2buk47zAvA5EcxyEbASkRVsHnf/FYCZ9asCLohMVbj7q8B1xHEfDox09/81Yf+7LXe/PwOFFgYOBZYk2rgXcvcbiGu+J4lAy+0yKHYUcA+R+W0ZYB/LEpVNeRNTAY+ywycBc1ALPoL4zbsOWIgINJqrWPYsMQjjIyKA+b/Ed2tm4DB3v7cTdr1LyvuZHu5+H1EidRqiElNpISLj+CPZltPLoxRxVZb4SSKD25dECd3Fcv5nRPDrC0RAbHWuapVdL89pMoEyWL8l+/VmB1Ymgo4vAr7j7v/IwPAngHNys11z2/rSxf8lvm8AR+a8VgGWxPEb6O5DMphPRCaTgvdERESmckX67M3MbOVi0aLESN1/EJ1T5HorZOmoE4ibtuuJG2Tc/S3gMKLhYlHgCqL00JtEaahViIapPbLxSUQmgLufTWQM+R/wDeL7dT/RkayR1iLSpWSj4Cb59JfAGWa2tJnNZGa7EkH+swNnqmNKRDpSmdnI3d3MFgeGAlUw10tEJqKPMsjLshPrS+IeaBTRYbWPuw/ODEh9MzP5Vxl8sSIxEGMLM5ul6vBw99vd/XUFg3WaSQocLzuyiixIIiIdyszWIoLJh5rZbMWi24BqcO2SZjZbnr/KzvTniXLho4hAlmWrBZnZbVtgfSJYYkdggLtf1FHvRcb6F3F+mYPI4ra6u+/q7h+aWR8z6+3uX2Z2qc2AY81s69z2TmApdz9A56GOYWbTEG3d3wGGuvsR+d3qk9ndniECi5YnA40yQ+V1RPnPj1Cfe2c4lkgmsI9FyW/c/StigPOzREDy6sX19hh3/wdRxvVa4L58jTnd/QxoNYBHUnV/UlwHHw58QJxTNi5WbSGyiw/I9UcXr1F9rtcBrxDX2QsU2z4PnE5kvv6FmfVX8Ovky8yujxPBeQcCF7j77u7+TB6T6t7zMCKocnMzWye3rc/6ex5RHnegmVUDocb+zuV91PuISLvRhYSIiMhUJjucehbPZ89gvBuAC8ysXy6aPx8fzlE1A8zsGGKE7i5ER9ZG2Un1VnFTfHcuPxZ4iLixeytff91smHq3E96qSLeSjUprEg2Fq7v7au7+QJN3S0RkkuTo7QeJrB9DiA7Gj4ELiYbf04nOExGRDpPBddOb2Qo563XiXmZn4jdqZWBnM+uXnRMOVCV2LyM64vsAy1qWS8ugvZEZxHcAkf1oJuCgzOCm0t9N0B6B4yrXJSKdaFqiPW01otwgMDbz1PVEENgSwBo534t1RgN35HrLEuVzqzJ6vdx9pLv/y93/4u5XKFtO53D3YcCZwGiinfQLiCCZPCajMsj/VOAPRMWSB3LbT3PAtHSc6Ynv2zDiu1OVkayCid7IxzmJ8p/VtePdwLfd/eAqA6Z0HHcfQZRpBTjCaiVa7wP+DMxIXMcvArUAMne/1t23BjbzKA3+uUXJcdP1XWs5UKlK9rCame0BLEj07QAcbWbT57//j0jaMK+ZrZ/bVJ+55+/be+R3iihfTC4fRfQzPUYENOv70z5eJIL/VyXuZf8NY8//nve/PfOc9LPc5lQYe29cli4eRtw3AZxqZnPo3lWkY9VH0IqIiEg3lzekY/IifQxRPmgXouPpCmBkrvpBPg7OgL59iTIAnwP7u/vp9a+do0RHZcPf0XkD3UKUgHi9Q9+YyFTA3T+g9t0UEenqtiNKEH1OlDGcl8j6e6NHeZWq4Vijr0WkQ2S2taeBj81sscx+89ccvASwIlFW8E4i40rZETWGKKnbH9gdWMvMfktkkZifuMdajeg8OYoo6SVN5O73mVkVlDkE+DaRBaSiwHER6TTZkT66bl4VSHI7MbjlKGAHM3ukCCy+k8hkdBDRZvdvd3+zDELJzK6XE8F9g4hgvpuIbLHSPBcDGwFbAteY2b7AM2b2LpER8YfAQCJr0lAF7HWqT4lBHN8gAvSeBnoWAXkbAo8CzxEZKzciSoUOIwL+pPNcTZTx3ATYigjag+jXWBvYANjAzF6vD052908zOMnqf38leJRdnR/4HXH+gGiL7kv083wX2Ak4i2jLeYwIylvXzO5z9xHF+agKjPwkHz+CsUHLY4jv3MbK3jbhMqjYq6y71Xm/+PdjwO+B44nj9VRuWgapVmWNTzezvYDvmNme7n4OkZmv/G7cQFxD9AJGKuBVpGMp856IiMhUyMwOIjqoVgC2Bv4KbODuFxYd5I8BbwODgQuIwL2zgbmrwL0qS5+Z9ScaDZemtTGZnl6BeyIiItKKu78B/BaYDljW3c929+Pd/UmL8pQK3BORDuXuzxIZ9mYhBjVBrWPjz0RnxbeAncxs2mK7Mfn4KLAf0Ym4MBH8dStRYmg14O9ExuTzMyBQZbmab7t8rALHf0IExyzj7vu7+2dVhioRkY5UZb8xs3mKeVVn/JfEOeh+osTtJsU6w4l2vCpgYsNqW2hVqvBB4Eri/LStmfVVh3tzZSDYfkQ76/xEEObTRADLhUTg3iVEMMudTdrNqdUo4AliUMaGZjZPFbiXwS2DiADYPwM/c/fjmranU7lsI9glnx5lZrPm/BeBS4GvgEOBJdvY3tXO0DYzmx24nPg/fxcRWLwycBJRdhjgMDObz6N09G3EdfXWRD9SOdip+pwXz8fhuby6l3IF7rVmZrO1dc9Yfab5+c4M9C6yT1bB+18S96b3E3FAW+TmY//P5/ZVgq+D8vFkM5sur03K0rhjgC3dfU13/0TXESIdy/QdExERmfpk+aZTidTmMxCNQs/lRfuYvICfBziRGEn1FrCVu1dptvvmeqPz+R7AOcA+7v6Hzn9HIiIi0hXlQIDPAQMWc/eXzKyPu4/8mk1FRCZIlR28wfxe2TmxFpHh6FNgpbwv6pnBdusQnbQGDHb3e3JbI7KxVPdDPYnsRpvl64wGbnf3+3P52AwJHf1+5etlScIDiKxGvyzm94CxncIiIh0qzzFXE8FaQ919WH1Gmwwa+hWROWf/DBqvzjsHAMcC9wIHuvvTDbZfhQj++727V5mPpMnyfLM7sA5RjvJDYgD1+e7+YDP3bWpmZssQ38kFiHK4NxCBs+sTmZXXzwFoMgUwsz8TgWVHuPuJOa8/EQj7IfATd/+iibvYJZnZbsD5wD+BTcv7qMzIdx2RwOFUd/9p9iGdDOwAvADsVv6Omdm2wB+Jcq6bKclDY2Y2HTG4dUngEI9S0NWyMsPedES527WIbLr9gHOBf2UwJRnQtwO1z30jd3+5rQGyZnYDcR/7G3c/pMiMKCKdTMF7IiIiU6FsJPoAmBl4BVjX3V9usN72RADfDMBP3f2PdcvnBI4A9gH+Dezo7v/t2L0XERGR7sTMvkeM7L7O3bdq9v6ISPeTHRiLuPuzbZQpvBDYFbjI3Xev6yD5HbAvUYprX+DjusCIvu7+1Xj+tjo/pjAKHBeRKUFeA59FlFffy91vL5ZZDqxdgAiK2IponzvR3UfkOt8kBuauCwwlOt1HVRl7FDDedZjZTB7lV6XJzGxHotzkgGL2Q8De7v5Yc/ZKGjGzOYB3iD6ONdz9uZyv79MkKM47ZwF7EhkmT8lkD1WZ1ZYMCr+PCBwb6O4Pm9lAItvhIOKcdjtRanV94vzVEzgQOJNMHNHJb2+KZmabA38A5iXKc+/l7o80WG9b4AxgduKYDCf69wAeALZx97dz3bnyNbcETnb3wxq8XjVgbVEiQBlgKXd/pj3fn4hMOJUAEBERmQrlCJtBxaye5fIiNfetRKnc2YCLzOwAM1vbzOY3s32BG4nAvceAnytwT0RERCbBlUQD75aZgYSihIeIyETJbETl80WJ8ln/hrFlCq1u3eOBj4EfmNm6daWE/gA8R2Qv2LgI6lvPzE4jStyVf69H+ajAvSlPlpMakk9PznkK3BORdlecE6rzjhVtbtcQWfcWBb5vZnNX2xXl714hMsC+C2xDZHmt1nmeuI4eRpQrHFhtq8CIrqG6DlGg0ZTD3S8ngl32Jq4Rtnb3VRS4N+Vx9/eAXxCljn9YzB8G494TyPgV542q3PBb+diSpVpbMsDvAeAioj/pZ7nt/cCPgFty/veIbHDbAi8RGfd+5+6jdX5qzcymJT7HeYFfE9neGwXurUMtcO8kYDHgO8TgspeAVYBTzKw6fu8R97GfATtn0GWr70UG7vXwKDl9NvBfsrSxiDSHMu+JiIhMxczsXqJx7yfufnYbWSh6AUcChwF9cvYXwDT573OBw1R+Q0RERCaVmS0NPA687+5zNnt/RKRrqsuYV/77aeBbRDbxU8tseFX5IDM7EvglcBcRpPdlkYFif6Js4etEObV5gS2AmYCDgDPq76NkypbBM28BcwLrufvtje6HRUTGx8w2Bu5z9+F181tlXbW6Eu7FuWcVol1tPuDHwNVVSbviHNSf6LDfLtcd6u7v5DpzAicAPwB+T7TPfdmBb1lEZIphZn2Bg6qyuTL5zOwEoh/oNODQunNZlantm8CzOXtrd782l88ALAKsCvQCXnP3v3bqG+hizGxTIkHGHe6+boPlvQEn7kG3AH7s7ufWrbM6cBUwKxF0fIq7DzezGYn72/2AP7n7kFy/vE+urkfGzhOR5lHwnoiIyFTMzOYB3iDSy8+b5TV6VA2FdeuuAGwKLEVkpRgGXOLuT3XmPouIiEj3ZGa3EqODdyaThjR5l0SkiyjvYTLI4WLgRnc/J+etBtwNjAbmcfcPis6nqsNiWiKIeFFgd3e/qFhnBiKzx8HFn30F+IW7X9ZZ71PalwLHRWRSmdlg4Dyio3xNd7+nWFZ2im9OZCDqCYwCbgNucvcPi/WPBI7OZQe4+wv1r2VmBxEZef4LHOvulxTrbAasA/wqM1GJiEx16oOmZdKY2c7AOUQZ1n3qS6jmAJi5gOuBFYD/AGu5+7C2+pVkXMX5fXHg/4h7y/Xd/WUz6wfs6O4X5LozAE8SWSZXdvenGwwSOBAYCrxGlPm+O+cvQ2T6nRvY2d3/ouMkMuVS2VwREZGpmLu/RYyi6g8ck7OtjXUfcfdj3H1bYoTPIQrcExERkXa0sbsPyZIsCtwTka9VlJsrOx/WAjYBfmZmc+Tye4nSgr2IDHoQGQzIwL2e7j6CCIwA+LmZzVUE931KBFZsRpQ12s3dF6oC96qyiNK1uPt/gH8Ct5lZj6KUpYhIQ1n19miiI7wfcAERUDdWdsYvama3EMENOwCDgO8TpQb/bGbLFZtcCdwDrA9slJ32ler88lI+LgwMzs7+yt/c/SAF7onI1CoDoRS41z6uB14lyrCubWbTwNjzX49sq+lBDHgaBiwN7APj3JPJeBRtXh8Bfycy8A4ys12IbO/nmdkauc5iwACiGtYrOa8auFZdJ/yJCKRcEli2+FPPEOVz+wF7mdmsVaa9jnhfIjJ51LAkIiIiRxAdV4eZ2ULZQdWz0YrVzYBuxERERKS9qbFdRCZWUfp2sJldbmaXEJ0bLwILkB1J6dB83M3Mls9Oi145r7q/uQV4hwiO2K/6M/m3Rrj734Ffu/vF+Xd75TLdH3VdChwXkYkxN7Aj8CGwpbvvkQNjxzKzuYmgvvWJ88ogIjvR0cATRJa8881sNgB3fwm4HPicKH+7Ur5OmVVnbeAp4CaibN461d/Tb5eITO30O9h+3H0YUXq1L1HOfZNcVGZr+ybwNhGQDrCDmU3XqTvaTWTg/TlEhvgTiM90NBFw979c7TngZSIBx9p121clb98FbsjZmxXLRwJ/Ia4/1gbWy/n6zohMgRS8JyIiMpVz9y+BIfn01zmvYee5OqVERERERGRKYWYDzOwaIgPSVsCqwIZEJgiAg8xsKQB3f4NatvFTc97o6qXycQAwC1HacB8zW7a+Y6MohWjF9tJFKXBcRCbSjMAiRCf6/W2ssyOwGnCVu2/s7je5+9PufiywfW67DJEhdsbc5lrgRiKD0f5m9u0iQH0nYC+i8/0G4Diio19ERKQjXApcBywBnGlmWwAzAJjZ9kTA+RfufhCwlbt/290/b9redmFmNj1wEDAtMA0xCG07d98n718BehIZegE2MLNpMstvdQ9bPd5B3MfOa2ZzFX/mdaKk7g7uflXHvRsRmVwK3hMRERGIEh3vAlua2TpQyyIhIiIiIiIyhfoRMBh4Etjc3Rcmgve2Bx4iOkEOKTKLH0tkiVjdzHaFsUF41SClOYmsBDcD0wM/aesPK1uBiMhUqQeRAW92MlDczAaZ2W1mtlKusz6RtfXqXN4ryw32dPcXgb1zvR8DVYD5R8B5wF3AlsBVZnaCmd0OXEh0vF/g7ue7+y8UeCwiIh3F3UcRAWWXA3MAlwGPmNlLwBXEYKczct3rmrWfXU19qdp8viGREe954AMigK9HLu8D4O7DiXvbT4G1cipV8T4LAr2BN939nWphZhi/QYF7IlM+Be+JiIhI1fG0UT69Iucpi4SIiIiIiEyRzOwbRKfSZ0R2gn9CZBZ396uBHxIlh3YiAimqTOIH5UucZGYbkZkKzGxbIsvEo0SGo6GMJ3hPRESmSm8QAXbzA4ea2R1EdqKVgEUzWHxJ4tzydm4zxsMYAHf/B5Fpb3oiSx85/27gQODfREnCw4gO+qeAXerL84qIiHQUd3+FuJ/6NXHum5UY6HQvsK67X9T21lIysx5m1qONjO63EwF8mwCnA/MBe5vZbO4+skiw8TfgTiLo/0AzW7jKvlf04y2Xj/+p/m6HvjERaXemQaIiIiJSMbNbgfeAnYn7B10oiIiIiIjIFMfMViVKAz3s7quaWR93H5nLerr7GDP7GXAiUdpwI3f/LJdfSgRMjMhlswDLE9kOtnf3O4q/01MZjkREpGJmGxNZiGbJWf8Afufut2Qn+1XAFsCP3P2Cum2r89N3gQeBj4El3P3dYp15ibK63wRecfe/dvibEhERaYOZzUxkhJvb3R9r9v50JRm015L/XpwIvnsTeNHdP6hbvhLwB2AR4GB3Pz/nWwbqbQ4cBaxADCQ4BrgPWADYF9gH+D9iYNtznfg2RaSdKHhPRERExlLHlIiIiIiIdAVmtgrRWfEqsKS7jyg6Nnq4e0uWGnqJyGCwl7ufk9sOIEruHg58BfQDHgcOcve7ir9hGtAkIiKVDBz/OzAD0EJkt9mx6iQ3s97A74E9gXOBw9394wavs1i+Th9gPXd/oXPegYiIiLQHM5sVGODuT3zNejMAvyKyu1ceAvZz94eL9foR2Q5PJe5zf+TuL5pZL3cfndcYqwKXEPe3AC8DA4CexH3xj939lnZ5gyLS6ZQuU0RERMZS4J6IiIiIiHQR7wAvEKUJvwtjSw+RgXu9MhPfWbn+EWY2Xy5/zd2PBJYFNgU2c/flq8A9M7Py9URERNLnwAPAH4EngCWAVcxsWgB3HwXcmOsOBpYpy9ZlWV2Ivrk5gemI8u8iIiLSRZjZPETW9usyOK+ab3Xr9QIuIAL33gVuAJ4BVgLON7Nlq3Xd/UvglpxWB3bI+aNzUNkod78T2AY4icjg9wnwFDAUWFSBeyJdm4L3REREREREREREpKt5g8iqNwAYaGbTQavAu9G53ofAl0R2ggNznR65zpPufoe7/z3n98r5CtoTEZFG/gPs6u4/IILDW4hMrotVK+Q55a/A7MDBRFl2zKx3MWj2W0Tg3r+B4fWd/SIiIjLlcve3gNuJe9HvF/MdwMwGmdlWwAZEsN2ZwFLuviWwJnAn8G3gwMwKX3mJyKw3HNghM/5CDFir/sa/3f1w4Jv5+uu4+y+L+18R6aIUvCciIiIiIiIiIiJdSmY3+i0wBvgekb2AqmxulhUCmJcIrhgO7Gdmi2dmvnHaRdXhISIi4+PhnXx6M3Arcf7Z0sxmLFb9JfA8sDFwlpmtDFQd+rsC5wEjgNPd/TMFjYuIiHQ5uwC3EZl4xzKzTYHrgOOI64B73X1fd//QzPq5+4fA4bnd1sB61b1rXg/cA/yFCPQfYmZ98/61VaC/u48APnL3Tzr0XYpIp1HwnoiIiIiIiIiIiHRFtxOlh5YE9jezFSDK5rr7qCyTux0R5HcZ0JPMvkcGUYiIiEysLF/3FnApUQZvCJlhDyKzK/AL4F5gOaKU7iNm9gpwITArcDLwz87dcxEREWkP7v6mu2/o7g+ZWZ9i0Z1EgP+iwN7AwwBm1idL4+LuDxEZ9noQQYCLF6/7DnAF8D9gCyIAsK190D2tSDei4D0RERERERERERHpcty9hShJeB+wOfAnM9vdzL5lZnsANwELAdcCR+Rmg81sAXV0iIjIpCrOIX8jsussBHzPzOYqVruGKKX3J2AkMA/QN7dZMUvcjey8vRYREZH2ZmZ7AR+Y2ZoA7v45cC5QZeqdNoP+R+b6VXzOVcC/gNWBzc1s+uJlHwX+CMxJZI+fS/evIt2fgvdERERERERERESkS3L3V4D9gPuBRYhShI8A5wDfAU4EngG+IEoQAczW6TsqIiLdipn1cPeviMyuzwLbAKsXZe16ZFaeIcCyxDlpXXff3N0fbc5ei4iISDv7ApgeOLAof3s9cGsunwMYG9yfA9AoMvi+D+xMXCtU6wwH/g68AIwAvurwdyEiTafgPREREREREREREemy3P1xYCtgN6IE4Z1EqaHl3X2ou38B9Afmy0d1foiIyGQpOt/vA64EZiRK3y2S80cX677n7u+4+zPN2FcRERHpMJcATwKDiHvSyhnAK8CmwHeL4H6Kf98I3AAsBmxnZrMX2z8JbOTum7n7xx23+yIypVDwnoiIiIiIiIiIiHRpGRhxsbtvAGzn7jtmUF9lCWAA8B+irJE1fCEREZEJVJxLriSyu64LbGhm0zRvr0RERKSzZDD/bvn0KDObNec/DlwM9AH2AuYutvHM4DuCyOD7DPA9YP1inVHu/mqnvAkRmSIoeE9ERERERERERES6DXf/vHxuZt8H/ky0hZ6Z2Y+8KTsnIiLdRnUucfcXidJ3vYFDgAWbuV8iIiLSedz9MeBqYsDYnsWic4GHgQ2AQWbWq9imyuB7F3ALMCswmwaZiUy9TO1UIiIiIiIiIiIi0l2Y2SzAcsDsRJaD1XPRKcCx7v5Zs/ZNRES6JzPrD5wEPODu5zd7f0RERKTzmNkcwDvAMGAld38h5/8AOA94FtjW3Z8rtunh7i1mNj/Qz92fb8Kui8gUQsF7IiIiIiIiIiIi0m2Y2SJEB8maOete4Ofufm/z9kpERLorM7MsgWfK7CoiIjJ1q4ceCQAAAvNJREFUMrPDgeOBC9x9j5zXm8jKNwg4ATje3b9o3l6KyJRKwXsiIiIiIiIiIiLSbWQ5ojWBgcBD7n5rk3dJREREREREujEz6wu8BcwCrOvud+T89YDLgJ7A9u5+e/P2UkSmVD2avQMiIiIiIiIiIiIi7cXdR7v7v9z9WAXuiYiIiIiISEdz96+AXfLpkWbWL+f/E7gZmA1Y0sysSbsoIlMwZd4TEREREREREREREREREREREZlEGZj3ILAisKu7X5LzFwJmdfdHmrl/IjLlUvCeiIiIiIiIiIiIiIiIiIiIiMhkMLPFgWeAz4GF3P39Ju+SiHQBvZq9AyIiIiIiIiIiIiIiIiIiIiIiXZm7P2dmlwKjgI+avT8i0jUo856IiIiIiIiIiIiIiIiIiIiIyGQysx7u3tLs/RCRrkPBeyIiIiIiIiIiIiIiIiIiIiIiIiKdrEezd0BERERERERERERERERERERERERkaqPgPREREREREREREREREREREREREZFOpuA9ERERERERERERERERERERERERkU6m4D0RERERERERERERERERERERERGRTqbgPREREREREREREREREREREREREZFOpuA9ERERERERERERERERERERERERkU6m4D0RERERERERERERERERERERERGRTqbgPREREREREREREREREREREREREZFOpuA9ERERERERERERERERERERERERkU6m4D0RERERERERERERERERERERERGRTqbgPREREREREREREREREREREREREZFOpuA9ERERERERERERERERERERERERkU6m4D0RERERERERERERERERERERERGRTqbgPREREREREREREREREREREREREZFOpuA9ERERERERERERERERERERERERkU6m4D0RERERERERERERERERERERERGRTqbgPREREREREREREREREREREREREZFOpuA9ERERERERERERERERERERERERkU72/7hHG/qCeI7sAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 2560x1600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Word Count and Weights of Topic Keywords\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "fig, axes = plt.subplots(2, 2, figsize=(16,10), sharey=True, dpi=160)\n",
    "cols = [color for name, color in mcolors.TABLEAU_COLORS.items()]\n",
    "for i, ax in enumerate(axes.flatten()):\n",
    "    ax.bar(x='word', height=\"word_count\", data=out[i], color=cols[i], width=0.5, alpha=0.3, label='Word Count')\n",
    "    ax_twin = ax.twinx()\n",
    "    ax_twin.bar(x='word', height=\"importance\", data=out[i], color=cols[i], width=0.2, label='Weights')\n",
    "    ax.set_ylabel('Word Count', color=cols[i])\n",
    "    ax_twin.set_ylim(0, 0.10); ax.set_ylim(0, 200)\n",
    "    ax.set_title('Topic: ' + str(i), color=cols[i], fontsize=16)\n",
    "    ax.tick_params(axis='y', left=False)\n",
    "    ax.set_xticklabels(out[i]['word'], rotation=30, horizontalalignment= 'right')\n",
    "    ax.legend(loc='upper left'); ax_twin.legend(loc='upper right')\n",
    "\n",
    "fig.tight_layout(w_pad=2)    \n",
    "fig.suptitle('Word Count and Importance of Topic Keywords', fontsize=22, y=1.05)    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sentence Coloring of N Sentences\n",
    "from matplotlib.patches import Rectangle\n",
    "\n",
    "def sentences_chart(lda_model=lda_model, corpus=corpus, start=0, end=13):\n",
    "    corp = corpus[start:end]\n",
    "    mycolors = [color for name, color in mcolors.TABLEAU_COLORS.items()]\n",
    "\n",
    "    fig, axes = plt.subplots(end-start, 1, figsize=(20, (end-start)*0.95), dpi=160)       \n",
    "    axes[0].axis('off')\n",
    "    for i, ax in enumerate(axes):\n",
    "        if i > 0:\n",
    "            corp_cur = corp[i-1] \n",
    "            topic_percs, wordid_topics, wordid_phivalues = lda_model[corp_cur]\n",
    "            word_dominanttopic = [(lda_model.id2word[wd], topic[0]) for wd, topic in wordid_topics]    \n",
    "            ax.text(0.01, 0.5, \"Doc \" + str(i-1 + start) + \": \", verticalalignment='center',\n",
    "                    fontsize=16, color='black', transform=ax.transAxes, fontweight=700)\n",
    "\n",
    "            # Draw Rectange\n",
    "            topic_percs_sorted = sorted(topic_percs, key=lambda x: (x[1]), reverse=True)\n",
    "            ax.add_patch(Rectangle((0.0, 0.05), 0.99, 0.90, fill=None, alpha=1, \n",
    "                                   color=mycolors[topic_percs_sorted[0][0]], linewidth=2))\n",
    "\n",
    "            word_pos = 0.06\n",
    "            for j, (word, topics) in enumerate(word_dominanttopic):\n",
    "                if j < 14:\n",
    "                    ax.text(word_pos, 0.5, word,\n",
    "                            horizontalalignment='left',\n",
    "                            verticalalignment='center',\n",
    "                            fontsize=16, color=mycolors[topics],\n",
    "                            transform=ax.transAxes, fontweight=700)\n",
    "                    word_pos += .009 * len(word)  # to move the word for the next iter\n",
    "                    ax.axis('off')\n",
    "            ax.text(word_pos, 0.5, '. . .',\n",
    "                    horizontalalignment='left',\n",
    "                    verticalalignment='center',\n",
    "                    fontsize=16, color='black',\n",
    "                    transform=ax.transAxes)       \n",
    "\n",
    "    plt.subplots_adjust(wspace=0, hspace=0)\n",
    "    plt.suptitle('Sentence Topic Coloring for Documents: ' + str(start) + ' to ' + str(end-1), \n",
    "                 fontsize=22, y=0.95, fontweight=700)\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 3200x1064 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sentences_chart(start=8, end=15)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the final part we need an additional tool for visualization:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Gera\\Anaconda3\\lib\\site-packages\\pyLDAvis\\_prepare.py:257: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n",
      "of pandas will change to not sort by default.\n",
      "\n",
      "To accept the future behavior, pass 'sort=False'.\n",
      "\n",
      "To retain the current behavior and silence the warning, pass 'sort=True'.\n",
      "\n",
      "  return pd.concat([default_term_info] + list(topic_dfs))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.css\">\n",
       "\n",
       "\n",
       "<div id=\"ldavis_el676825480526775767344078117\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "\n",
       "var ldavis_el676825480526775767344078117_data = {\"mdsDat\": {\"x\": [0.1290626282096049, 0.08875589889358756, 0.07071534058309123, -0.2885338676862835], \"y\": [-0.07783386629043554, -0.13194208331204807, 0.22904308693167977, -0.019267137329196125], \"topics\": [1, 2, 3, 4], \"cluster\": [1, 1, 1, 1], \"Freq\": [28.378328323364258, 27.428361892700195, 27.05582046508789, 17.13749122619629]}, \"tinfo\": {\"Category\": [\"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Default\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic1\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic2\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic3\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\", \"Topic4\"], \"Freq\": [275.0, 259.0, 175.0, 168.0, 135.0, 137.0, 119.0, 152.0, 80.0, 82.0, 65.0, 132.0, 82.0, 69.0, 124.0, 45.0, 45.0, 55.0, 94.0, 59.0, 48.0, 46.0, 46.0, 44.0, 48.0, 53.0, 35.0, 42.0, 41.0, 39.0, 275.1058654785156, 118.9349136352539, 38.96076965332031, 40.734840393066406, 37.61922836303711, 42.081607818603516, 35.92911148071289, 28.714820861816406, 29.395240783691406, 26.432462692260742, 25.85679817199707, 23.5367374420166, 30.5819034576416, 22.77232551574707, 20.156822204589844, 19.543376922607422, 22.377784729003906, 19.009449005126953, 17.873313903808594, 17.19648551940918, 17.1241455078125, 25.298751831054688, 18.20935821533203, 16.825010299682617, 57.86836624145508, 19.378583908081055, 22.16031837463379, 13.618648529052734, 13.723944664001465, 14.65722942352295, 16.170162200927734, 97.0118408203125, 23.91995620727539, 61.24653244018555, 27.903114318847656, 19.112409591674805, 28.81477165222168, 17.9960880279541, 134.3513641357422, 47.47697830200195, 136.0843505859375, 44.25188446044922, 54.188385009765625, 67.9294662475586, 33.44491958618164, 31.526988983154297, 30.556596755981445, 30.811567306518555, 34.79941940307617, 24.27021598815918, 22.835994720458984, 21.94412612915039, 20.97704315185547, 20.707368850708008, 19.29828643798828, 21.274232864379883, 17.651897430419922, 17.06652069091797, 12.984463691711426, 12.726319313049316, 13.574541091918945, 12.375165939331055, 16.299217224121094, 11.513768196105957, 11.370743751525879, 14.110066413879395, 18.458473205566406, 18.519508361816406, 49.061119079589844, 17.81574821472168, 20.70386505126953, 24.906204223632812, 24.91149139404297, 15.992294311523438, 77.93869018554688, 18.228242874145508, 35.01070785522461, 28.835756301879883, 26.867618560791016, 26.867618560791016, 26.867618560791016, 26.867618560791016, 20.447099685668945, 257.4415588378906, 46.03953170776367, 45.882816314697266, 33.32685089111328, 31.66098976135254, 31.265172958374023, 24.883377075195312, 22.498245239257812, 22.064014434814453, 21.842378616333008, 17.756601333618164, 17.352725982666016, 27.4433536529541, 30.528470993041992, 12.984413146972656, 12.447890281677246, 13.442378997802734, 12.005138397216797, 12.286779403686523, 12.817217826843262, 16.104999542236328, 12.269559860229492, 12.195839881896973, 10.954327583312988, 11.236984252929688, 10.47560977935791, 11.246987342834473, 10.807744979858398, 10.672554016113281, 10.026346206665039, 30.239992141723633, 139.3425750732422, 37.4345817565918, 12.983114242553711, 75.35670471191406, 33.14021682739258, 20.924766540527344, 17.718774795532227, 16.71841812133789, 16.71841812133789, 49.399383544921875, 49.399383544921875, 49.399383544921875, 49.399383544921875, 37.73874282836914, 33.18430709838867, 23.809755325317383, 18.10911750793457, 18.71902084350586, 79.85739135742188, 44.25627899169922, 44.25627899169922, 163.78121948242188, 170.25160217285156, 63.67549514770508, 79.76761627197266, 18.560787200927734, 16.97110366821289, 15.390851974487305, 15.120482444763184, 17.164445877075195, 12.380640029907227, 20.573461532592773, 22.733362197875977, 12.988597869873047, 14.153770446777344, 17.661197662353516, 9.099677085876465, 7.725947380065918, 7.914576530456543, 7.960720062255859, 6.642448425292969, 12.74458122253418, 7.073439598083496, 9.341665267944336, 7.328889846801758, 30.85985565185547, 11.255865097045898, 16.15482521057129, 10.591714859008789, 35.44237518310547, 10.94239616394043, 53.321537017822266, 22.35593605041504, 22.000429153442383, 28.912208557128906, 13.201464653015137, 38.4905891418457, 14.79687786102295, 13.634963035583496], \"Term\": [\"said\", \"new\", \"gutenberg\", \"project\", \"hear\", \"help\", \"must\", \"including\", \"work\", \"tm\", \"foundation\", \"alice\", \"ebooks\", \"section\", \"donation\", \"archive\", \"literary\", \"without\", \"site\", \"received\", \"queen\", \"one\", \"little\", \"day\", \"information\", \"tax\", \"state\", \"keep\", \"unless\", \"give\", \"said\", \"must\", \"give\", \"unless\", \"head\", \"keep\", \"people\", \"business\", \"thing\", \"began\", \"word\", \"added\", \"long\", \"away\", \"tone\", \"nearly\", \"used\", \"majesty\", \"got\", \"two\", \"hold\", \"change\", \"name\", \"anything\", \"received\", \"old\", \"explanation\", \"let\", \"hastily\", \"left\", \"half\", \"alice\", \"important\", \"king\", \"written\", \"permitted\", \"ebooks\", \"medium\", \"hear\", \"queen\", \"help\", \"day\", \"without\", \"section\", \"way\", \"rabbit\", \"white\", \"writing\", \"number\", \"eye\", \"shall\", \"much\", \"time\", \"nothing\", \"never\", \"slate\", \"well\", \"looking\", \"made\", \"thought\", \"dear\", \"looked\", \"provision\", \"quite\", \"knew\", \"life\", \"exempt\", \"location\", \"tax\", \"opportunity\", \"small\", \"outside\", \"contact\", \"place\", \"donation\", \"status\", \"alice\", \"email\", \"produce\", \"newsletter\", \"includes\", \"subscribe\", \"law\", \"new\", \"one\", \"little\", \"upon\", \"found\", \"read\", \"hatter\", \"first\", \"hand\", \"mean\", \"went\", \"course\", \"equipment\", \"computer\", \"put\", \"great\", \"knee\", \"like\", \"back\", \"verse\", \"certain\", \"air\", \"teacup\", \"next\", \"march\", \"came\", \"sat\", \"till\", \"face\", \"look\", \"form\", \"including\", \"cannot\", \"purpose\", \"site\", \"jury\", \"general\", \"defective\", \"widest\", \"readable\", \"subscribe\", \"produce\", \"includes\", \"newsletter\", \"email\", \"king\", \"web\", \"limited\", \"damage\", \"work\", \"archive\", \"literary\", \"project\", \"gutenberg\", \"foundation\", \"tm\", \"paragraph\", \"fee\", \"refund\", \"pglaf\", \"full\", \"access\", \"org\", \"term\", \"volunteer\", \"http\", \"copyright\", \"distribution\", \"owner\", \"paid\", \"donate\", \"voice\", \"united\", \"please\", \"associated\", \"comply\", \"state\", \"agree\", \"license\", \"set_forth\", \"information\", \"public_domain\", \"ebooks\", \"copy\", \"agreement\", \"web\", \"trademark\", \"donation\", \"site\", \"email\"], \"Total\": [275.0, 259.0, 175.0, 168.0, 135.0, 137.0, 119.0, 152.0, 80.0, 82.0, 65.0, 132.0, 82.0, 69.0, 124.0, 45.0, 45.0, 55.0, 94.0, 59.0, 48.0, 46.0, 46.0, 44.0, 48.0, 53.0, 35.0, 42.0, 41.0, 39.0, 275.6357727050781, 119.55684661865234, 39.49757385253906, 41.33515548706055, 38.21086502075195, 42.749786376953125, 36.51955032348633, 29.239704132080078, 29.932933807373047, 26.96923065185547, 26.404287338256836, 24.067411422729492, 31.282869338989258, 23.349899291992188, 20.69110679626465, 20.098325729370117, 23.027812957763672, 19.56979751586914, 18.408287048339844, 17.73822593688965, 17.6760196685791, 26.144933700561523, 18.81942367553711, 17.393457412719727, 59.90317916870117, 20.11224937438965, 23.05844497680664, 14.186797142028809, 14.31221866607666, 15.291292190551758, 17.20334815979004, 132.30990600585938, 28.123966217041016, 102.21996307373047, 40.59392547607422, 21.54617691040039, 82.99496459960938, 23.651826858520508, 135.59703063964844, 48.081451416015625, 137.96827697753906, 44.90065383911133, 55.092613220214844, 69.17340087890625, 34.07689666748047, 32.13577651977539, 31.170970916748047, 31.477115631103516, 35.65056610107422, 24.893226623535156, 23.442594528198242, 22.568920135498047, 21.579858779907227, 21.312326431274414, 19.889951705932617, 21.927614212036133, 18.25039291381836, 17.677043914794922, 13.583303451538086, 13.31678581237793, 14.222935676574707, 12.969528198242188, 17.112016677856445, 12.108152389526367, 11.994123458862305, 14.885773658752441, 19.50735855102539, 19.594635009765625, 53.01681137084961, 18.892168045043945, 22.400117874145508, 27.335220336914062, 28.0798397064209, 17.284086227416992, 124.40653991699219, 22.632583618164062, 132.30990600585938, 92.19461822509766, 85.35250854492188, 85.35250854492188, 85.35250854492188, 85.35250854492188, 37.259674072265625, 259.146484375, 46.639320373535156, 46.502349853515625, 33.931480407714844, 32.313472747802734, 31.992923736572266, 25.529743194580078, 23.09792709350586, 22.689470291137695, 22.46224021911621, 18.3474178314209, 17.965858459472656, 28.487699508666992, 31.91341209411621, 13.591009140014648, 13.04867935180664, 14.104743003845215, 12.60239315032959, 12.90147590637207, 13.470986366271973, 16.938318252563477, 12.918461799621582, 12.848265647888184, 11.551623344421387, 11.869818687438965, 11.06745719909668, 11.88321590423584, 11.427618980407715, 11.289302825927734, 10.618220329284668, 32.29806900024414, 152.77423095703125, 41.77417755126953, 13.912473678588867, 94.6822738647461, 38.922515869140625, 23.99823760986328, 19.87065315246582, 19.07939910888672, 19.07939910888672, 85.35250854492188, 85.35250854492188, 85.35250854492188, 85.35250854492188, 92.19461822509766, 102.21996307373047, 56.458614349365234, 28.491735458374023, 37.1053581237793, 80.71437072753906, 45.117767333984375, 45.117767333984375, 168.3958740234375, 175.37681579589844, 65.67813110351562, 82.89140319824219, 19.369890213012695, 17.810922622680664, 16.292251586914062, 16.078929901123047, 18.25996971130371, 13.188498497009277, 21.976909637451172, 24.370615005493164, 14.025754928588867, 15.409322738647461, 19.4931640625, 10.073038101196289, 8.58877182006836, 8.806291580200195, 8.875561714172363, 7.443745136260986, 14.316413879394531, 7.961475372314453, 10.536396980285645, 8.291932106018066, 35.05267333984375, 12.987618446350098, 18.697385787963867, 12.305932998657227, 48.105587005615234, 13.123408317565918, 82.99496459960938, 31.439678192138672, 33.91719055175781, 56.458614349365234, 17.739662170410156, 124.40653991699219, 94.6822738647461, 92.19461822509766], \"loglift\": [30.0, 29.0, 28.0, 27.0, 26.0, 25.0, 24.0, 23.0, 22.0, 21.0, 20.0, 19.0, 18.0, 17.0, 16.0, 15.0, 14.0, 13.0, 12.0, 11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 1.257599949836731, 1.2542999982833862, 1.24590003490448, 1.2448999881744385, 1.243899941444397, 1.2438000440597534, 1.2431999444961548, 1.2414000034332275, 1.2414000034332275, 1.239400029182434, 1.2386000156402588, 1.2372000217437744, 1.236899971961975, 1.2345000505447388, 1.2333999872207642, 1.2315000295639038, 1.2309000492095947, 1.2304999828338623, 1.2301000356674194, 1.2285000085830688, 1.2278000116348267, 1.2266000509262085, 1.2266000509262085, 1.2263000011444092, 1.225000023841858, 1.2223999500274658, 1.2197999954223633, 1.2187000513076782, 1.2175999879837036, 1.2172000408172607, 1.19760000705719, 0.9491999745368958, 1.097599983215332, 0.7473000288009644, 0.8847000002861023, 1.1397000551223755, 0.20170000195503235, 0.986299991607666, 1.2843999862670898, 1.280900001525879, 1.2798000574111938, 1.2790000438690186, 1.2769999504089355, 1.2754000425338745, 1.274899959564209, 1.2745000123977661, 1.2736999988555908, 1.2721999883651733, 1.2694000005722046, 1.2682000398635864, 1.2674000263214111, 1.2654999494552612, 1.2653000354766846, 1.264799952507019, 1.2633999586105347, 1.2632999420166016, 1.260200023651123, 1.2583999633789062, 1.2484999895095825, 1.2482000589370728, 1.246899962425232, 1.2467000484466553, 1.2448999881744385, 1.243299961090088, 1.2402000427246094, 1.2401000261306763, 1.2382999658584595, 1.2372000217437744, 1.2160999774932861, 1.2348999977111816, 1.2148000001907349, 1.2005000114440918, 1.1739000082015991, 1.21589994430542, 0.8259999752044678, 1.0772000551223755, -0.03590000048279762, 0.13130000233650208, 0.13770000636577606, 0.13770000636577606, 0.13770000636577606, 0.13770000636577606, 0.6934999823570251, 1.3006999492645264, 1.2942999601364136, 1.2939000129699707, 1.2892999649047852, 1.2869000434875488, 1.2842999696731567, 1.281599998474121, 1.281000018119812, 1.2792999744415283, 1.2792999744415283, 1.2745000123977661, 1.2725000381469727, 1.2698999643325806, 1.2628999948501587, 1.2616000175476074, 1.26010000705719, 1.2591999769210815, 1.2587000131607056, 1.2583999633789062, 1.2575000524520874, 1.2568000555038452, 1.2556999921798706, 1.2552000284194946, 1.2541999816894531, 1.252500057220459, 1.2523000240325928, 1.2522000074386597, 1.2515000104904175, 1.251099944114685, 1.249899983406067, 1.2414000034332275, 1.2151999473571777, 1.19760000705719, 1.2381000518798828, 1.0789999961853027, 1.146399974822998, 1.170199990272522, 1.1926000118255615, 1.1751999855041504, 1.1751999855041504, 0.7603999972343445, 0.7603999972343445, 0.7603999972343445, 0.7603999972343445, 0.4140999913215637, 0.18219999969005585, 0.4438999891281128, 0.8540999889373779, 0.6230000257492065, 1.7532000541687012, 1.7446000576019287, 1.7446000576019287, 1.7360999584197998, 1.7342000007629395, 1.7329000234603882, 1.7254999876022339, 1.7211999893188477, 1.7156000137329102, 1.7070000171661377, 1.7023999691009521, 1.7020000219345093, 1.700700044631958, 1.6979000568389893, 1.6943999528884888, 1.6871000528335571, 1.6789000034332275, 1.6651999950408936, 1.6622999906539917, 1.6579999923706055, 1.657099962234497, 1.6550999879837036, 1.649999976158142, 1.6476000547409058, 1.6455999612808228, 1.6435999870300293, 1.6404000520706177, 1.6365000009536743, 1.6208000183105469, 1.6176999807357788, 1.6138999462127686, 1.458400011062622, 1.5821000337600708, 1.3214999437332153, 1.4228999614715576, 1.3309999704360962, 1.0946999788284302, 1.468400001525879, 0.5907999873161316, -0.09220000356435776, -0.14740000665187836], \"logprob\": [30.0, 29.0, 28.0, 27.0, 26.0, 25.0, 24.0, 23.0, 22.0, 21.0, 20.0, 19.0, 18.0, 17.0, 16.0, 15.0, 14.0, 13.0, 12.0, 11.0, 10.0, 9.0, 8.0, 7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, -2.593400001525879, -3.431999921798706, -4.547999858856201, -4.503499984741211, -4.583000183105469, -4.470900058746338, -4.629000186920166, -4.853099822998047, -4.829699993133545, -4.9359002113342285, -4.958000183105469, -5.052000045776367, -4.79010009765625, -5.085000038146973, -5.206999778747559, -5.2378997802734375, -5.102499961853027, -5.265600204467773, -5.327199935913086, -5.365799903869629, -5.370100021362305, -4.979800224304199, -5.308599948883057, -5.387700080871582, -4.152400016784668, -5.246399879455566, -5.112199783325195, -5.599100112915039, -5.591400146484375, -5.525599956512451, -5.4274001121521, -3.635699987411499, -5.035799980163574, -4.095600128173828, -4.881800174713135, -5.260200023651123, -4.849699974060059, -5.320400238037109, -3.2760000228881836, -4.316199779510498, -3.263200044631958, -4.386600017547607, -4.184000015258789, -3.9579999446868896, -4.666600227355957, -4.725599765777588, -4.756899833679199, -4.748600006103516, -4.6269001960754395, -4.987199783325195, -5.0482001304626465, -5.0879998207092285, -5.1331000328063965, -5.145999908447266, -5.2164998054504395, -5.11899995803833, -5.305600166320801, -5.339399814605713, -5.61269998550415, -5.632800102233887, -5.568299770355225, -5.660799980163574, -5.38539981842041, -5.732900142669678, -5.7453999519348145, -5.529600143432617, -5.261000156402588, -5.257699966430664, -4.283400058746338, -5.29640007019043, -5.146200180053711, -4.961400032043457, -4.96120023727417, -5.404399871826172, -3.8206000328063965, -5.273499965667725, -4.620800018310547, -4.814899921417236, -4.8856000900268555, -4.8856000900268555, -4.8856000900268555, -4.8856000900268555, -5.158699989318848, -2.611999988555908, -4.3333001136779785, -4.336699962615967, -4.656499862670898, -4.707699775695801, -4.720300197601318, -4.948599815368652, -5.0493998527526855, -5.068900108337402, -5.078999996185303, -5.286099910736084, -5.309100151062012, -4.8506999015808105, -4.744200229644775, -5.599100112915039, -5.641300201416016, -5.5644001960754395, -5.677499771118164, -5.654300212860107, -5.611999988555908, -5.383699893951416, -5.655700206756592, -5.6616997718811035, -5.769100189208984, -5.743599891662598, -5.813799858093262, -5.742700099945068, -5.782599925994873, -5.795100212097168, -5.857600212097168, -4.753699779510498, -3.2258999347686768, -4.540200233459473, -5.5991997718811035, -3.84060001373291, -4.662099838256836, -5.1219000816345215, -5.2881999015808105, -5.34630012512207, -5.34630012512207, -4.262899875640869, -4.262899875640869, -4.262899875640869, -4.262899875640869, -4.532100200653076, -4.660699844360352, -4.992700099945068, -5.26639986038208, -5.23330020904541, -3.325900077819824, -3.9161999225616455, -3.9161999225616455, -2.6077001094818115, -2.5689001083374023, -3.5524001121520996, -3.3271000385284424, -4.785099983215332, -4.87470006942749, -4.972400188446045, -4.990099906921387, -4.86329984664917, -5.190000057220459, -4.682199954986572, -4.582399845123291, -5.142099857330322, -5.05620002746582, -4.834799766540527, -5.497900009155273, -5.661600112915039, -5.637499809265137, -5.631700038909912, -5.812699794769287, -5.161099910736084, -5.749800205230713, -5.471700191497803, -5.714399814605713, -4.276700019836426, -5.285299777984619, -4.923999786376953, -5.346099853515625, -4.138299942016602, -5.313499927520752, -3.72979998588562, -4.599100112915039, -4.615099906921387, -4.341899871826172, -5.125899791717529, -4.055799961090088, -5.0117998123168945, -5.093500137329102]}, \"token.table\": {\"Topic\": [4, 1, 2, 4, 1, 2, 3, 4, 3, 1, 2, 1, 4, 3, 4, 1, 3, 1, 1, 3, 1, 2, 3, 3, 1, 4, 3, 4, 2, 4, 1, 2, 3, 4, 3, 4, 3, 1, 3, 4, 2, 2, 3, 4, 4, 4, 2, 3, 4, 1, 4, 1, 2, 3, 4, 3, 2, 1, 2, 2, 3, 4, 3, 1, 3, 3, 3, 4, 4, 1, 2, 3, 1, 1, 3, 1, 3, 4, 1, 3, 3, 1, 3, 1, 2, 3, 2, 4, 1, 3, 4, 1, 3, 1, 2, 3, 4, 1, 3, 4, 2, 3, 4, 2, 3, 1, 1, 2, 3, 3, 2, 1, 2, 4, 1, 1, 2, 3, 4, 2, 3, 1, 2, 3, 4, 4, 3, 2, 1, 3, 2, 2, 2, 1, 3, 3, 1, 4, 2, 1, 1, 1, 2, 3, 4, 1, 2, 3, 4, 3, 2, 2, 1, 3, 1, 2, 3, 4, 1, 2, 3, 4, 4, 4, 1, 1, 2, 4, 4, 1, 2, 4, 1, 2, 3, 4, 1, 4, 2, 3, 4, 3, 3, 2, 2, 2, 3, 1, 3, 1, 2, 4, 1, 3, 2, 3, 4, 2, 1, 2, 3, 4, 2, 1, 2, 3, 4, 2, 4, 1, 2, 3, 4, 2, 4, 3, 3, 4, 1, 2, 3, 2, 2, 3, 4, 1, 1, 3, 4, 1, 3, 4, 1, 3, 1, 3, 4, 4, 2, 1, 2, 3, 4, 2, 3, 2, 1, 3, 2, 1, 4, 2, 1, 2], \"Freq\": [0.9098837375640869, 0.9971990585327148, 0.07699640840291977, 0.8469604849815369, 0.14741787314414978, 0.14741787314414978, 0.029483573511242867, 0.6486386060714722, 0.9289031624794006, 0.7331272959709167, 0.2645304501056671, 0.9773790240287781, 0.975225567817688, 0.09490910172462463, 0.8541819453239441, 0.9850149750709534, 0.9301261305809021, 0.9640616178512573, 0.9918020963668823, 0.9035499095916748, 0.04787646606564522, 0.02393823303282261, 0.8857146501541138, 0.9446038007736206, 0.9562082290649414, 0.8441940546035767, 0.9713784456253052, 0.03133478760719299, 0.8903184533119202, 0.07122547924518585, 0.1272277683019638, 0.09542082250118256, 0.0636138841509819, 0.699752688407898, 0.051300033926963806, 0.9234006404876709, 0.9462392330169678, 0.404254287481308, 0.5120554566383362, 0.08085085451602936, 0.979941189289093, 0.984325647354126, 0.9058585166931152, 0.10065094381570816, 0.8934742212295532, 0.9013513922691345, 0.6269766688346863, 0.06430529803037643, 0.3054501712322235, 0.3494187891483307, 0.6385929584503174, 0.1301594376564026, 0.31455197930336, 0.4121715724468231, 0.15185268223285675, 0.9477774500846863, 0.9227287173271179, 0.9540972709655762, 0.043368060141801834, 0.964117705821991, 0.9743736982345581, 0.9544705152511597, 0.9524664282798767, 0.061923205852508545, 0.9288480877876282, 0.9902989864349365, 0.015225768089294434, 0.9744491577148438, 0.9309982657432556, 0.08333945274353027, 0.04166972637176514, 0.8750642538070679, 0.9874024391174316, 0.9778204560279846, 0.9196332693099976, 0.022808032110333443, 0.005702008027583361, 0.9693413376808167, 0.9300515055656433, 0.05812821909785271, 0.9696127772331238, 0.9781851768493652, 0.9792499542236328, 0.9944815635681152, 0.9882222414016724, 0.007374792825430632, 0.9857338666915894, 0.007248043082654476, 0.9617549777030945, 0.06489577889442444, 0.9085409045219421, 0.8533647060394287, 0.14222745597362518, 0.011716117151081562, 0.31633517146110535, 0.574089765548706, 0.10544505715370178, 0.026182426139712334, 0.9098393321037292, 0.06545606255531311, 0.16630084812641144, 0.08315042406320572, 0.7275662422180176, 0.1284603476524353, 0.847838282585144, 0.9824610352516174, 0.5967523455619812, 0.07826259732246399, 0.32283321022987366, 0.9216758012771606, 0.9171158075332642, 0.10735467076301575, 0.5367733240127563, 0.32206401228904724, 0.9809504747390747, 0.9868330359458923, 0.05348341166973114, 0.10696682333946228, 0.8557345867156982, 0.9404953122138977, 0.9522001147270203, 0.14039158821105957, 0.10529369115829468, 0.6317621469497681, 0.10529369115829468, 0.975225567817688, 0.989197313785553, 0.9696531891822815, 0.9909576773643494, 0.9417774081230164, 0.9252457022666931, 0.9616992473602295, 0.9570572972297668, 0.970883846282959, 0.926720142364502, 0.9794214367866516, 0.7610405683517456, 0.21140016615390778, 0.9747918844223022, 0.9953424334526062, 0.9564586281776428, 0.9951077699661255, 0.9552562236785889, 0.9917171001434326, 0.003858821466565132, 0.011716117151081562, 0.31633517146110535, 0.574089765548706, 0.10544505715370178, 0.952247142791748, 0.9853452444076538, 0.9817516207695007, 0.944697916507721, 0.9862922430038452, 0.05293198674917221, 0.952775776386261, 0.045502301305532455, 0.9555483460426331, 0.036582838743925095, 0.9145709872245789, 0.036582838743925095, 0.9314486384391785, 0.908441424369812, 0.9809038639068604, 0.9857733845710754, 0.8818269968032837, 0.046411946415901184, 0.046411946415901184, 0.9328979253768921, 0.057856690138578415, 0.9257070422172546, 0.8792340159416199, 0.011716117151081562, 0.31633517146110535, 0.574089765548706, 0.10544505715370178, 0.02375355176627636, 0.9738956093788147, 0.9350154399871826, 0.1523994356393814, 0.838196873664856, 0.9344132542610168, 0.9565147161483765, 0.9775079488754272, 0.9910678267478943, 0.9957749247550964, 0.9689642786979675, 0.10482510179281235, 0.8910133838653564, 0.9682290554046631, 0.016693605110049248, 0.9206830859184265, 0.9976934194564819, 0.9256753325462341, 0.9830368161201477, 0.08126161247491837, 0.8938777446746826, 0.9811200499534607, 0.03168491646647453, 0.021123278886079788, 0.7921229004859924, 0.15842458605766296, 0.9576965570449829, 0.044642623513936996, 0.9374950528144836, 0.11411397904157639, 0.8843833208084106, 0.7953135371208191, 0.17673633992671967, 0.011716117151081562, 0.31633517146110535, 0.574089765548706, 0.10544505715370178, 0.9242351651191711, 0.056585825979709625, 0.9339781999588013, 0.04103302210569382, 0.9437595009803772, 0.9688325524330139, 0.9762115478515625, 0.9625802040100098, 0.9731296300888062, 0.012063977308571339, 0.024127954617142677, 0.9651181697845459, 0.9665988683700562, 0.16911257803440094, 0.05637085810303688, 0.7328211665153503, 0.9583821892738342, 0.069849893450737, 0.9080486297607422, 0.9918917417526245, 0.9725481867790222, 0.9553664326667786, 0.9650369882583618, 0.9403868317604065, 0.926866352558136, 0.9683980345726013, 0.03542417660355568, 0.01771208830177784, 0.42509013414382935, 0.5136505961418152, 0.9862801432609558, 0.98106449842453, 0.994515061378479, 0.10482510179281235, 0.8910133838653564, 0.9801676869392395, 0.9846885800361633, 0.9911494255065918, 0.9848424792289734, 0.6897583603858948, 0.2956107258796692], \"Term\": [\"access\", \"added\", \"agree\", \"agree\", \"agreement\", \"agreement\", \"agreement\", \"agreement\", \"air\", \"alice\", \"alice\", \"anything\", \"archive\", \"associated\", \"associated\", \"away\", \"back\", \"began\", \"business\", \"came\", \"cannot\", \"cannot\", \"cannot\", \"certain\", \"change\", \"comply\", \"computer\", \"computer\", \"contact\", \"contact\", \"copy\", \"copy\", \"copy\", \"copy\", \"copyright\", \"copyright\", \"course\", \"damage\", \"damage\", \"damage\", \"day\", \"dear\", \"defective\", \"defective\", \"distribution\", \"donate\", \"donation\", \"donation\", \"donation\", \"ebooks\", \"ebooks\", \"email\", \"email\", \"email\", \"email\", \"equipment\", \"exempt\", \"explanation\", \"explanation\", \"eye\", \"face\", \"fee\", \"first\", \"form\", \"form\", \"found\", \"foundation\", \"foundation\", \"full\", \"general\", \"general\", \"general\", \"give\", \"got\", \"great\", \"gutenberg\", \"gutenberg\", \"gutenberg\", \"half\", \"half\", \"hand\", \"hastily\", \"hatter\", \"head\", \"hear\", \"hear\", \"help\", \"help\", \"hold\", \"http\", \"http\", \"important\", \"important\", \"includes\", \"includes\", \"includes\", \"includes\", \"including\", \"including\", \"including\", \"information\", \"information\", \"information\", \"jury\", \"jury\", \"keep\", \"king\", \"king\", \"king\", \"knee\", \"knew\", \"law\", \"law\", \"law\", \"left\", \"let\", \"license\", \"license\", \"license\", \"life\", \"like\", \"limited\", \"limited\", \"limited\", \"limited\", \"literary\", \"little\", \"location\", \"long\", \"look\", \"looked\", \"looking\", \"made\", \"majesty\", \"march\", \"mean\", \"medium\", \"medium\", \"much\", \"must\", \"name\", \"nearly\", \"never\", \"new\", \"new\", \"newsletter\", \"newsletter\", \"newsletter\", \"newsletter\", \"next\", \"nothing\", \"number\", \"old\", \"one\", \"opportunity\", \"opportunity\", \"org\", \"org\", \"outside\", \"outside\", \"outside\", \"owner\", \"paid\", \"paragraph\", \"people\", \"permitted\", \"permitted\", \"permitted\", \"pglaf\", \"place\", \"place\", \"please\", \"produce\", \"produce\", \"produce\", \"produce\", \"project\", \"project\", \"provision\", \"public_domain\", \"public_domain\", \"purpose\", \"put\", \"queen\", \"quite\", \"rabbit\", \"read\", \"readable\", \"readable\", \"received\", \"received\", \"refund\", \"said\", \"sat\", \"section\", \"set_forth\", \"set_forth\", \"shall\", \"site\", \"site\", \"site\", \"site\", \"slate\", \"small\", \"small\", \"state\", \"state\", \"status\", \"status\", \"subscribe\", \"subscribe\", \"subscribe\", \"subscribe\", \"tax\", \"tax\", \"teacup\", \"term\", \"term\", \"thing\", \"thought\", \"till\", \"time\", \"tm\", \"tm\", \"tm\", \"tone\", \"trademark\", \"trademark\", \"trademark\", \"two\", \"united\", \"united\", \"unless\", \"upon\", \"used\", \"verse\", \"voice\", \"volunteer\", \"way\", \"web\", \"web\", \"web\", \"web\", \"well\", \"went\", \"white\", \"widest\", \"widest\", \"without\", \"word\", \"work\", \"writing\", \"written\", \"written\"]}, \"R\": 30, \"lambda.step\": 0.01, \"plot.opts\": {\"xlab\": \"PC1\", \"ylab\": \"PC2\"}, \"topic.order\": [3, 2, 1, 4]};\n",
       "\n",
       "function LDAvis_load_lib(url, callback){\n",
       "  var s = document.createElement('script');\n",
       "  s.src = url;\n",
       "  s.async = true;\n",
       "  s.onreadystatechange = s.onload = callback;\n",
       "  s.onerror = function(){console.warn(\"failed to load library \" + url);};\n",
       "  document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "}\n",
       "\n",
       "if(typeof(LDAvis) !== \"undefined\"){\n",
       "   // already loaded: just create the visualization\n",
       "   !function(LDAvis){\n",
       "       new LDAvis(\"#\" + \"ldavis_el676825480526775767344078117\", ldavis_el676825480526775767344078117_data);\n",
       "   }(LDAvis);\n",
       "}else if(typeof define === \"function\" && define.amd){\n",
       "   // require.js is available: use it to load d3/LDAvis\n",
       "   require.config({paths: {d3: \"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min\"}});\n",
       "   require([\"d3\"], function(d3){\n",
       "      window.d3 = d3;\n",
       "      LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "        new LDAvis(\"#\" + \"ldavis_el676825480526775767344078117\", ldavis_el676825480526775767344078117_data);\n",
       "      });\n",
       "    });\n",
       "}else{\n",
       "    // require.js not available: dynamically load d3 & LDAvis\n",
       "    LDAvis_load_lib(\"https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js\", function(){\n",
       "         LDAvis_load_lib(\"https://cdn.rawgit.com/bmabey/pyLDAvis/files/ldavis.v1.0.0.js\", function(){\n",
       "                 new LDAvis(\"#\" + \"ldavis_el676825480526775767344078117\", ldavis_el676825480526775767344078117_data);\n",
       "            })\n",
       "         });\n",
       "}\n",
       "</script>"
      ],
      "text/plain": [
       "PreparedData(topic_coordinates=              x         y  topics  cluster       Freq\n",
       "topic                                                \n",
       "2      0.129063 -0.077834       1        1  28.378328\n",
       "1      0.088756 -0.131942       2        1  27.428362\n",
       "0      0.070715  0.229043       3        1  27.055820\n",
       "3     -0.288534 -0.019267       4        1  17.137491, topic_info=     Category        Freq       Term       Total  loglift  logprob\n",
       "185   Default  275.000000       said  275.000000  30.0000  30.0000\n",
       "231   Default  259.000000        new  259.000000  29.0000  29.0000\n",
       "3     Default  175.000000  gutenberg  175.000000  28.0000  28.0000\n",
       "5     Default  168.000000    project  168.000000  27.0000  27.0000\n",
       "85    Default  135.000000       hear  135.000000  26.0000  26.0000\n",
       "...       ...         ...        ...         ...      ...      ...\n",
       "2371   Topic4   28.912209        web   56.458614   1.0947  -4.3419\n",
       "2257   Topic4   13.201465  trademark   17.739662   1.4684  -5.1259\n",
       "2396   Topic4   38.490589   donation  124.406540   0.5908  -4.0558\n",
       "2367   Topic4   14.796878       site   94.682274  -0.0922  -5.0118\n",
       "2539   Topic4   13.634963      email   92.194618  -0.1474  -5.0935\n",
       "\n",
       "[203 rows x 6 columns], token_table=      Topic      Freq       Term\n",
       "term                            \n",
       "2291      4  0.909884     access\n",
       "923       1  0.997199      added\n",
       "1849      2  0.076996      agree\n",
       "1849      4  0.846960      agree\n",
       "2282      1  0.147418  agreement\n",
       "...     ...       ...        ...\n",
       "214       1  0.984689       word\n",
       "505       4  0.991149       work\n",
       "1580      2  0.984842    writing\n",
       "245       1  0.689758    written\n",
       "245       2  0.295611    written\n",
       "\n",
       "[254 rows x 3 columns], R=30, lambda_step=0.01, plot_opts={'xlab': 'PC1', 'ylab': 'PC2'}, topic_order=[3, 2, 1, 4])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pyLDAvis.gensim\n",
    "pyLDAvis.enable_notebook()\n",
    "vis = pyLDAvis.gensim.prepare(lda_model, corpus, dictionary=lda_model.id2word)\n",
    "vis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}