NLP_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Word frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "reader = open(\"europarl-v7.hu-en.hu\", \"r\")\n",
    "writer = open(\"word_freq.txt\", \"w\")\n",
    "\n",
    "word_list = {}\n",
    "word_count_list = {}\n",
    "\n",
    "for word in reader.read().split():\n",
    "    if word not in word_list:\n",
    "        word_list[word] = 1\n",
    "    else:\n",
    "        word_list[word] += 1\n",
    "        \n",
    "for word in word_list.keys():\n",
    "    count = word_list[word]\n",
    "    \n",
    "    if count not in word_count_list:\n",
    "        word_count_list[count] = [word]\n",
    "        \n",
    "    else:\n",
    "        word_count_list[count].append(word)\n",
    "        \n",
    "        \n",
    "for count in sorted(word_count_list, reverse = True):\n",
    "    for word in sorted(word_count_list[count]):\n",
    "        writer.write(\"{0}\\t{1}\\n\".format(word,count))\n",
    "        \n",
    "\n",
    "\n",
    "\n",
    "reader.close()\n",
    "writer.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Word frequency with Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "\n",
    "\n",
    "def word_freq(data): \n",
    "    word_counter = Counter()\n",
    "\n",
    "    for word in data:\n",
    "        word_counter[word] += 1\n",
    "    \n",
    "    return word_counter\n",
    "    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Character frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "reader = open(\"europarl-v7.hu-en.hu\", \"r\")\n",
    "writer = open(\"char_freq.txt\", \"w\")\n",
    "\n",
    "character_list = {}\n",
    "character_count_list = {}\n",
    "\n",
    "for word in reader.read().split():\n",
    "    for char in list(word):\n",
    "        \n",
    "        if char not in character_list:\n",
    "            character_list[char] = 1\n",
    "        else:\n",
    "            character_list[char] += 1\n",
    "            \n",
    "\n",
    "for char in character_list.keys():\n",
    "    count = character_list[char]\n",
    "    \n",
    "    if count not in character_count_list:\n",
    "        character_count_list[count] = [char]\n",
    "    else:\n",
    "        character_count_list[count].append(char)\n",
    "    \n",
    "            \n",
    "for count in sorted(character_count_list, reverse = True):\n",
    "    for char in sorted(character_count_list[count]):\n",
    "        writer.write(\"{0}\\t{1}\\n\".format(char,count))\n",
    "        \n",
    "\n",
    "        \n",
    "reader.close()\n",
    "writer.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Character frequency with Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def char_freq(data):\n",
    "    character_counter = Counter()\n",
    "    \n",
    "    for word in data:\n",
    "        for c in word:\n",
    "            character_counter[c] += 1\n",
    "    \n",
    "    return character_counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def char_freq_N(data):\n",
    "    character_counter = Counter()\n",
    "\n",
    "    for word in data:\n",
    "        if \"_NUM_\" in word:\n",
    "            if word == \"_NUM_\":\n",
    "                character_counter[\"_NUM_\"] +=1\n",
    "            else:\n",
    "                ws = word.split('_NUM_')\n",
    "                for i in ws:\n",
    "                    for c in list(i):\n",
    "                        character_counter[c] += 1\n",
    "        \n",
    "        else:\n",
    "            for char in list(word):\n",
    "                if char.isdigit():\n",
    "                    character_counter[\"_NUM_\"] +=1\n",
    "                else:\n",
    "                    character_counter[char] += 1\n",
    "            \n",
    "\n",
    "    return character_counter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open(\"europarl-v7.hu-en.hu\" ,\"r\") as r:\n",
    "    main_data = r.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import string\n",
    "import re\n",
    "def clean_text(data):\n",
    "    new_data = data.lower()\n",
    "    \n",
    "    for c in string.punctuation:\n",
    "        new_data = new_data.replace(c,\"\")\n",
    "        \n",
    "    new_data = re.sub('[\\d]+','_NUM_',new_data)\n",
    "        \n",
    "   \n",
    "    return new_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cleaning the corpus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cleaned_input = clean_text(main_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Word count on cleaned corpus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "wc = word_freq(cleaned_input.split())\n",
    "\n",
    "with open(\"cleaned_words.txt\", \"w\") as f:\n",
    "    \n",
    "    for data in wc.most_common():\n",
    "            f.write(\"{0}\\t{1}\\n\".format(data[0],data[1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Character count on cleaned corpus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cc = char_freq_N(cleaned_input.split())\n",
    "\n",
    "with open(\"cleaned_chars.txt\", \"w\") as f:\n",
    "    for data in cc.most_common():\n",
    "        f.write(\"{0}\\t{1}\\n\".format(data[0],data[1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filtering rare words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def filter_rare(input_words, rare_threshold = 5):\n",
    "    rare_token = \"_RARE_\"\n",
    "    \n",
    "    with open(\"filtered_text.txt\",\"w\") as w:\n",
    "        for line in input_words:\n",
    "            for word in line.split():\n",
    "                if wcx[word] <= rare_threshold:\n",
    "                    w.write('_RARE_'+' ')\n",
    "                else:\n",
    "                    w.write(word+' ')\n",
    "            w.write('\\n')\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "wcx = word_freq(cleaned_input.split())\n",
    "\n",
    "filter_rare(cleaned_input.split('\\n'), 500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open(\"filtered_text.txt\",\"r\") as r, open(\"filtered_stat.txt\",\"w\") as w:\n",
    "    filtered = r.read()\n",
    "    fwc = word_freq(filtered.split())\n",
    "\n",
    "    for data in fwc.most_common():\n",
    "        w.write(\"{0}\\t{1}\\n\".format(data[0],data[1]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Dictionary coverage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def dict_coverage(file_name = None):\n",
    "    words = cleaned_input.split()\n",
    "    \n",
    "    if file_name is not None:\n",
    "        with open(file_name, \"r\") as r:\n",
    "            data = r.read()\n",
    "            \n",
    "        clean_data = clean_text(data)\n",
    "        words2 = clean_data.split()\n",
    "    \n",
    "    wlist = set()\n",
    "    \n",
    "    max_w = 10000\n",
    "\n",
    "    results = {}\n",
    "    results2 = {}\n",
    "\n",
    "    for size in range(0,max_w,100):  \n",
    "        for i in wc.most_common(size):\n",
    "            wlist.add(i[0])\n",
    "    \n",
    "        all_words = 0\n",
    "        words_in_list = 0\n",
    "        words_in_list2 = 0\n",
    "    \n",
    "        for word in words:\n",
    "            if word in wlist:\n",
    "                words_in_list += 1\n",
    "            all_words += 1\n",
    "        \n",
    "        results[size] = words_in_list / all_words * 100\n",
    "\n",
    "        all_words = 0\n",
    "        \n",
    "        for word in words2:\n",
    "            if word in wlist:\n",
    "                words_in_list2 += 1\n",
    "            all_words += 1\n",
    "        \n",
    "        \n",
    "        results2[size] = words_in_list2 / all_words * 100\n",
    "\n",
    "    lists = sorted(results.items())\n",
    "    lists2 = sorted(results2.items())\n",
    "\n",
    "    x, y = zip(*lists)\n",
    "    x2,y2 = zip(*lists2)\n",
    "    plt.plot(x, y, 'g-', linewidth=2, label='europarl-v7.hu-en.hu coverage')\n",
    "    plt.plot(x2, y2, 'b-', linewidth=2, label=file_name+' coverage')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.axis([0,max_w,0,100])\n",
    "    plt.xlabel('First x most common words')\n",
    "    plt.ylabel('Coverage %')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Coverage of Hungarian and English words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#%%time\n",
    "#dict_coverage(\"europarl-v7.hu-en.en\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Last Exercise"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Function that return coverage percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def create_clean_counter_from_corpus(input_corp_path, encoding = None):\n",
    "    counter = Counter()\n",
    "    iter = 0\n",
    "    with open(input_corp_path,'r', encoding=encoding, errors=\"ignore\") as f:\n",
    "        for line in f:\n",
    "            if \"DOCSTART\" in line or \"DOCEND\" in line:\n",
    "                line = \"\"\n",
    "            if \"CURRENT URL\" in line:\n",
    "                line = \"\"\n",
    "                \n",
    "            #if iter > 100000:\n",
    "                #break\n",
    "            line = line.lower()\n",
    "            line = re.sub('['+string.punctuation+']', '', line)\n",
    "            line = re.sub('['+string.digits+']+[.,]?['+string.digits+']*', '_NUM_', line)\n",
    "            for word in line.split():\n",
    "                if word != \" \":\n",
    "                    counter[word] += 1\n",
    "            \n",
    "            iter += 1\n",
    "            \n",
    "    return counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def create_clean_counter_from_dict(input_dict_path, encoding = None):\n",
    "    counter = Counter()\n",
    "    iter = 0\n",
    "    with open(input_dict_path,'r',encoding=encoding, errors=\"ignore\") as f:\n",
    "        for line in f:      \n",
    "            ##if iter > 5:\n",
    "                #break\n",
    "            \n",
    "            if len(line.split()) > 0:\n",
    "                text = line.split()[0]\n",
    "                text = text.lower()\n",
    "                text = re.sub('['+string.punctuation+']', '', text)\n",
    "                text = re.sub('['+string.digits+']+[.,]?['+string.digits+']*', '_NUM_', text)\n",
    "            \n",
    "            if text != \"\" and len(line.split()) > 1 and line.split()[1].isdigit():\n",
    "                counter[text] += int(line.split()[1])\n",
    "                \n",
    "            #print(line)\n",
    "            iter += 1\n",
    "    \n",
    "    return counter\n",
    "            \n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def coverage_from_dict(counter, corp_counter):\n",
    "    full_size = sum(corp_counter.values())\n",
    "    res = Counter()\n",
    "    x = [10, 100, 1000, 5000, 10000, 25000, 50000, 100000, 250000, 500000, 750000, 1000000]\n",
    "    \n",
    "    for size in x:\n",
    "        found = 0\n",
    "        for word in counter.most_common(size):\n",
    "            if word[0] in corp_counter.keys():\n",
    "                found += corp_counter[word[0]]\n",
    "        \n",
    "        res[size] = found / full_size\n",
    "    \n",
    "    return res\n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.patches as mpatches\n",
    "import numpy as np\n",
    "\n",
    "def show_plot(counter, color, text):\n",
    "    #x = [10, 100, 1000, 5000, 10000, 25000, 50000, 100000, 250000, 500000, 750000, 1000000]\n",
    "    x = np.logspace(2,6,num=12,dtype=np.int)\n",
    "    plt.xscale('log')\n",
    "    plt.yscale('linear')\n",
    "    plt.grid(True)\n",
    "\n",
    "    plt.xlabel(\"Size of dictionary\")\n",
    "    plt.ylabel(\"Coverage\")\n",
    "    patch = mpatches.Patch(color=color, label=text)\n",
    "    plt.legend(handles=[patch], loc=\"upper left\")\n",
    "    plt.axis([50,2000000,0,1])\n",
    "\n",
    "    width = 1e-1\n",
    "\n",
    "    for i in range(len(x)):\n",
    "        plt.fill([10**(np.log10(x[i])-width),10**(np.log10(x[i])-width),10**(np.log10(x[i])+width), 10**(np.log10(x[i])+width)],\n",
    "            [0,counter[x[i]],counter[x[i]],0 ],color[0])\n",
    "\n",
    "    ax = plt.subplot()\n",
    "    for i in x:\n",
    "        ax.text(i*0.6, counter[i] + 0.01, str(round(counter[i],4)), color='black', fontsize=8)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_plot2(counter,counter2, color,color2,title, text, text2):\n",
    "    index = np.arange(len(counter.values()))\n",
    "    x = [10, 100, 1000, 5000, 10000, 25000, 50000, 100000, 250000, 500000, 750000, 1000000]\n",
    "    width = 0.4\n",
    "    \n",
    "    plt.figure(figsize=(13,6))\n",
    "    plt.bar(index, sorted(counter.values()), width, color = color, label = text)\n",
    "    plt.bar(index + width, sorted(counter2.values()), width, color = color2, label = text2)\n",
    "    plt.xticks(index + width, x)\n",
    "    plt.ylim(0,1)\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.title(title)\n",
    "        \n",
    "\n",
    "    ax = plt.subplot()\n",
    "    for i in range(len(x)):\n",
    "        ax.text(index[i], counter[x[i]] + 0.01, str(round(counter[x[i]],4)), color='black', fontsize=8)\n",
    "        ax.text(index[i] + width, counter2[x[i]] + 0.01, str(round(counter2[x[i]],4)), color='black', fontsize=8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Counters from corpus / dicts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "czech_counter = create_clean_counter_from_corpus(\"europarl-v7.cs-en.cs\")\n",
    "czech_counter2 = create_clean_counter_from_corpus(\"czech.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "english_counter = create_clean_counter_from_corpus(\"europarl-v7.hu-en.en\")\n",
    "english_counter2 = create_clean_counter_from_dict(\"vocab_sorted.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "deutch_counter = create_clean_counter_from_corpus(\"europarl-v7.de-en.de\")\n",
    "deutch_counter2 = create_clean_counter_from_corpus(\"dewac_100Mwords\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "hun_counter = create_clean_counter_from_corpus(\"europarl-v7.hu-en.hu\")\n",
    "hun_counter2 = create_clean_counter_from_dict(\"hun_dict.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "french_counter = create_clean_counter_from_corpus(\"europarl-v7.fr-en.fr\")\n",
    "french_counter2 = create_clean_counter_from_corpus(\"frwac_preproc_first300klines\", \"latin1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zhsqVK9OyZUu01ri5ufHrr78C0K9fP8qUKUPnzp3RWqOUYtOmTXh6embPxYtc\nKbc8jMDD8YAXHx9vxHLJEnDwuzJbREaS2K8f8fHxeTqWIPF0tkcxnnmy8SE2NpYaNWpwIxf8YhZC\n5G4eHh5E5vE/noRINXToUIKDg3n++edZuXIlQUFBad7Ub9y4kYULF7Jr1y48PDyYMmUK48aNY9as\nWYDRrf2XX36xrPdtLSQkBJPJxNGjRwGIi4uz7BsyZAiTJ0+mU6dOXLp0ierVq/P0009TvXr1LLzi\nrJWVwwTKli1LSkpKusfdvn37Hmqau+WWF0IPQ2NzrngYgYfqAQ8wYim9qZ1H4ulcj1A882TjQ3x8\nPDdu3GDJkiUO3/gIIQRAZGQk/R6mP57EI+3ChQvs3buXDRs2ANC9e3dGjBjBiRMnbFYUiIiIoHnz\n5nh4eADQsWNHAgMDLY0P+p9lrW3cuHGDefPmcebMGUtayZIlLf9vMpm4dOkSANeuXaNAgQJ4eXk5\n/0JFniJv6rPII/QwIoR4dOTJxodUNWrUkDkhhBBCPBKctTSkUoqWLVuSkpJC69ateeedd/Dw8CA6\nOhovLy+mTJnCxo0b8fDwYOLEibRq1QowVnPo3Lkzb7zxBvHx8Xz++ec2jRPi0fQwvqnP6uFNL730\nEt999x0xMTEcOHDAZnnWoKAg43/69oX8+eHwYTh4EGrXfqBrykkST+eSeDqXxDN75enGByGEEELY\nymhpyJiYGMqVK8fNmzcZOnQor776KrNnzyYpKYmYmBhq167NtGnTOHDgAG3btuXIkSN4e3vz7rvv\n8t5779G7d29OnjzJE088QaNGjfLksAsZJpAFHqI39Vk9vKlnz56EhITQvHnzNPsWLlxoTNy2dCmc\nPAnvvJPnH0Qkns4l8XQuiWf2ksYHIYQQIg9w1tKQ5cqVA8Dd3Z1hw4YxdOhQwOhF4eLiQt++fQHw\n9/fH19eXQ4cOUa9ePVavXs2yZcsA8PX1pWnTpmzfvj3PNT7IMAFxN1k9vAmwPIRkuOLcV1/BoEEP\nekk5SuLpXBJP55J4Zj9pfBBCCCHyAG9vbxo0aMDixYstS0OWL1/e5g+kVNZLQ06YMIGQkBAAEhIS\nKFCgAO7u7qSkpLBixQrq168PQPHixWndujXr1q2jQ4cOnDx5klOnTlGzZk08PT0pVKgQW7ZsoWXL\nlsTHx7Nz505Gjx6drTFwhodxmIBwnqwe3pRp587B1q3GfZqHSTydS+LpXBLP7CeND0IIIUQe8aBL\nQ/7xxx+pclOoAAAgAElEQVQMHToUk8lEUlISDRo0YObMmZbyQ0NDGTRoECEhIbi4uDB37lxKly4N\nQFhYGK+++irJycncuXOHUaNG0aRJk+wNgDM9RMMEnDFmOdXEiROZNGmSzdjk9u3bc/78eZRSFClS\nhJkzZ+Lv7w9YrQzSty8ULQrTpoF5npCH2f0Ob8q0H36Ap56CR2RSV4mnc0k8nUvi6USp3URy0wY0\nAPTevXu1I3v37tV32y+y38aNG7VSSn/77bc5XRUhLOR3hRDCXurvBfbuzdk/dpz4+6lVq1Z60aJF\nWmutw8PDdUBAQJo8GzZs0LVq1dLXr1/XWms9efJkPXz4cJs8u3bt0h07dtS+vr46IiLCkn758mXL\n/69evVrXq1fP8vl///vfP/Hcv1/j5ZWn4xkXF6eLFi2qk5OTLWmlS5fW0dHRdz3ut99+0z4+Pg73\n/frrr7pu3bpp0itWrGgTZ62t7s+yZTUbNuT5+1Pi6dzvusRT4pkb42m5DmiQ0ekeyp4PuWEiqfud\nRGrhwoUMGDDA4b7XX3+dqVOnPmjVsoxSKqerIIQQQjxSnDVm+ebNm4wYMYJVq1almRjNundEQkKC\nTRfl1LlEzDshj/8tkNXDmzItJQXatHHGJeUoiadzSTydS+KZ/R66xofY2FhqVKvGjcTEHK2Hh5sb\nkVFR99UAoZRi0qRJVKxY0Sa9di6f/VTrDCZSEUIIIYRTOWvM8muvvcbw4cMpW7asw/MEBQWxZcsW\nlFL8+OOPaTN07gw3b8LKlU6/xuyW1cObgoODWbt2LefPn6d9+/YULlyYo0eP2lbimWey5Vqzg8TT\nuSSeziXxzF4PXeNDfHw8NxITWQLk1DRSkUC/xMQHmkTqySefpME9jEVN/TIUKFDgvs4n7k1SUhLw\nz1gvIYQQIje725jlDRs2EBMTw6effpru8QsXLgRg8eLFvPbaa6xdu9Y2w7ffGj0fXn0VduyAPPzv\no5+fHzt27EiTbpnfwuzgwYMOj2/atCkRERHplj9nzpyMK2F+4HkYSDydS+LpXBLP7GXKOEveVANj\n4oic2LK60SM5ORmTycSoUaNYvHgxtWrVws3NjU2bNgFGQ8SMGTMs6WXKlGHYsGFcuXLFppxy5crR\nrVs3tm7dSuPGjXF3d6dKlSosXbo0zTkvXbrESy+9RMWKFXFzc8PHx4f+/fuTkJBgyaOUIiUlhUmT\nJlGuXDk8PDxo27YtJ0+ezNR1/fnnnwwcOJDHHnsMd3d3KleuzIgRI0hJSbHkiY6OpkePHnh5eVGw\nYEGaNWvG+vXrLfvPnj1Lvnz5mDZtWpryjxw5gslkYu7cuZa0hIQERo4ciY+PD25ubvj5+fHBBx/Y\nHBcdHY3JZGLmzJnMmDGDypUr4+7uztGjR7l16xbjx4+nYcOGFCtWjEKFChEYGMi2bdvSnP/ixYs8\n99xzFC1aFC8vLwYNGsT+/fsxmUxpYh4ZGUn37t0pXrw4Hh4eNG7c2PGbJiHEIyE2NpZ9+/bl+BYb\nG5vToRB2rJdgTXW3JVh3797Nr7/+yhNPPGFZgnXLli3s37+fSpUq4evry59//knHjh3TNjAAzz//\nPFu2bOHSpUtpK9OqFVy9CocOOfUahRBCPBzybrP0Q+7y5ctcvHjRJq148eI2n9evX8/y5csZPnw4\nXl5elj80Bg4cyLJlyxg4cCAvv/wyJ06c4NNPPyUiIoJt27ZZumYqpYiKiqJPnz785z//YcCAAXz5\n5ZcEBQUREBBA1apVAbh27RrNmzfn+PHjDBo0CH9/fy5cuMC3337LX3/9RbFixQCj0WPSpEnkz5+f\nkJAQ/v77b6ZPn84LL7zg8GHc2pkzZwgICODatWsEBwdTrVo1Tp8+zTfffENiYiIeHh6cO3eOZs2a\ncefOHUaOHGmZ0btTp06sWbOGp556ijJlytC8eXPCwsIYO3aszTmWL19O/vz56dGjBwA3btygRYsW\nxMXFERwcTLly5fjll1947bXXiIuLY/r06TbHf/HFF9y5c4fg4GBcXV0pVqwYCQkJLFiwgGeffZah\nQ4dy5coVvvzyS9q1a8eePXuoVasWACkpKXTo0IEDBw4wfPhwqlatypo1axg4cGCauTIOHTpEixYt\nqFChAmPHjsXDw4MVK1bwzDPPWK5TCPHoiI2NpVqNGsbykDnMzcODqMhIWRoyF3HGmOWpU6fazCnl\n6+vLd999R506dbh8+TI3btygTJkyAKxZs4YSJUrg6elJUlISp0+f/ucEu3bBhQvg4NxCCCGEND7k\nQlprWrdubZOmlCI5Odkm7dixYxw5coQqVapY0n7++WcWLlzIN998Q/fu3S3pjz/+OJ06dWLVqlWW\nh28wxint2LHDslxat27d8PHxYf78+ZY/RKZNm8Yff/zB999/T8eOHS3HvvHGG2nqnpSUxK5du3Bx\ncQGMSarGjBnD0aNH8fPzS/eaX3vtNS5evMiePXssS3uBbZenKVOmEB8fz2+//UZAQAAAgwYNok6d\nOowaNcryUN67d29GjBiR5pxhYWG0atUKL/MyNtOnTyc2NpaIiAjL/BqDBw+mVKlSzJw5k1GjRlmW\nmAOjV0V0dLSlsQWMRoWTJ0/aDL8YPHgwVatWZdasWYSGhgIQHh7Onj17+OyzzwgODgZg2LBhtGzZ\nMk0sXnzxRapUqcLOnTstcRw2bBhNmzbl9ddfl8YHIR4x8fHxRsPDkiXG8pA5JTKSxH79HmhIocga\nDzpm2Z5SyjKP0+XLl+nZsyeJiYkopShZsiQ//PADAHfu3GHixInGQX37gre3MedD0aJZe8FZJDdM\nWB4ZGZmj53cmiadzSTydS+KZM6TxIRdSSvHZZ59Zeh6kp3Xr1jYND2A85BYvXpzAwECbnhONGjXC\n3d2dLVu22DQ+1K1b12ad9lKlSlG1alVOnDhhSVu1ahUNGza0aXhIz6BBgywPzAAtWrRAa82JEyfS\nbXxITk7mu+++o2vXrjYND/Z++uknmjVrZml4AChcuDCDBw9mwoQJlsaGHj16MHLkSFasWMH48eMB\nOHDgAEePHrXpDREeHk5gYCCFCxe2iVWbNm344IMP2LZtGz179rSk9+rVy6bhAcBkMll6kmitSUhI\nIDk5mUaNGrFv3z5LvvXr1+Pm5sbAgQNtjh82bBj/+9//LJ/j4+PZunUr7777rs2QFq017du3Z/Lk\nyVy4cAFvb+904ySEeEjVqAH3MBeQeHQ86Jhle9Z/A/j4+LBz506H+dzd3Zk3bx4NGzaEpUvz9P2Z\nWyYsf1hIPJ1L4ulcEs+cI40PuVRAQECGE07ar4YBRm+IixcvOnw4VUoRFxdnk+bo7ZWnp6fNWM7o\n6Gj69euXqXqXL18+TVmA47GhZufPn+f69euWIQrpiY2NJTAwME16DfObwJiYGPz8/PD29iYwMJCw\nsDBL48OKFStwdXWlS5culuOOHTtGZGRkpmPlKN4A8+fPZ8aMGURFRVkmogRsGltiYmIoW7Ysrq6u\nNsfaNx4dO3YMgLFjx/L666+nWy9pfBBCCCGcJzdMWA7wIzA+B8/vLBJP55J4OpfEM+dI40Me5u7u\nniYtJSWFxx57jMWLFztc+rJkyZI2n617KVi732UznV3e/erTpw9DhgzhyJEj1KxZk/DwcNq1a0dR\nq66gWmuefPJJRo8e7bCMatWq2Xx2FO8FCxYwaNAgevTowdixY/H29sbFxYVJkyZx5syZe6536oRh\nISEhtElnvV9fX997LlcIIXKT48ePExQURHx8vGX+nhoOhpS8//77LFq0CK011apVY/78+RQpUoSz\nZ88yYMAAYmJiKFCgAFWrVmXOnDmWuZFeeuklvvvuO2JiYjhw4IBNr7rDhw8b/9O3L7i4QP/+xgoN\nQvDPhOU55WHrhC3xdC6Jp3NJPLOfND48ZCpXrsy2bdto3rw5+fPnd1qZv//+u1PKcqRUqVIULFgw\nw3P4+PgQFRWVJj11vFSFChUsad26dWPYsGGWiRqjo6N55513bI6rVKkS169fp1WrVvdd95UrV1Kt\nWjXCwsJs0seNG2fzuUKFCuzYsYPbt2/b9H5I7emQqnLlygC4uro+UL2EECI3Gzp0KMHBwTz//POs\nXLmSoKAgdu3aZZNn48aNLFy4kF27duHh4cGUKVMYN24cs2bNwsXFhQkTJtCsWTPAmDdozJgxzJ8/\nH4CePXsSEhJC8+bN05x7ypQpxv8sXQq+vlC9Ojz9tPHfPEbGLAshhMhLpPHhIdOrVy/mzp3L5MmT\n04z1TEpK4saNGxQpUuSeyuzevTvTpk1j7dq1dOrUKd189qs2ZJaLiwudO3cmLCyMiIgI6tWr5zBf\nx44dmT17Nnv27KFRo0aAsRLHF198QZUqVWyGOXh6etKmTRtWrFjBzZs3cXd355lnnrEpr1evXkyZ\nMoXNmzenedBPSEigcOHC6fbksK67ve3bt7N7925LQwJA+/btmT9/Pl999RX//e9/AaPnxWeffWYT\nt9KlS9O8eXNCQ0MZNmxYmp4q8fHxlChR4q51EiI3edA33GA8SO7YsYOzZ8+SkJBg8zvs9u3bjB49\nmvXr1+Pu7k69evVYtGgRYKz8s337djw8PChUqBAfffSR5XeHyDkXLlxg7969bNiwATD+jRkxYgQn\nTpywWaEhIiKC5s2b4+HhARj/BgQGBjJr1ixKlixp8/uxSZMmzJ492/I5tdHBUa87m3+rrl2DAgXA\nPBFxXiJjloUQQuQ1D23jQ062wz/ouR9kiEKrVq0YNGgQkydPZt++fbRp04Z8+fJx9OhRwsPDCQ0N\nTfMQnpGQkBBWrlxJt27dGDhwIPXr1+fixYt8++23zJs3j5o1az5wvd999102b95M8+bNGTp0KNWq\nVePMmTN888037N69Gw8PD8aOHUtYWBjt2rWzLLU5f/58zpw5w5o1a9KU2bt3b/r378/nn39Ohw4d\nKFiwYJrr+v777+nQoQMDBgygfv36XLt2jYMHD7Jq1SrOnDmTYUPNU089xXfffUe3bt3o0KED0dHR\nfP7559SsWZNbt25Z8vXo0YOGDRvy0ksvERUVhZ+fH2vWrOHq1auA7R/DoaGhPP7449SuXZvBgwfj\n6+vL+fPn2b59O3FxcezZs+e+4yxEdnvQN9wA//3vfwkNDaVUqVJpyg8JCcFkMnH06FEAm7launXr\nxpdffonJZGLt2rX07NmTkydPZuHVisw4ffo0ZcqUsUzWC0bPttjYWJvGh4YNGxIaGkpcXBwlS5Zk\nyZIlXLt2jYSEhDSrDs2aNYuuXbtm6vwTJ07k2WefhU6d4MoV+PxzsGvozQtkzLIQQoi85qFrfChR\nogQebm70y+E3AR5ubvf9hjozPQiUUunm++KLL2jcuDFz587ljTfeIH/+/FSsWJH+/fvTtGnTTJVh\nnV64cGG2b9/OxIkTWbNmDQsWLKBUqVK0bduWsmXLZljvzFxPuXLl2LlzJ2+++SZLlizhypUrlC1b\nlk6dOuHm5gZAmTJl2LFjByEhIXzyySfcunULf39/1q5dS7t27dKU2aVLFwoUKMD169fp06dPmv0F\nCxbkl19+YcqUKYSHh7Nw4UKKFi2Kn58fkydPplChQhnG6j//+Q9xcXF88cUXrF+/npo1a7J8+XKW\nLFli84BlMpn46aefeOmll5g/fz758uWja9eujB8/nieeeMJyjQC1atViz549vPXWW8yfP59Lly5R\nsmRJ6tevz4QJEzKMpRC5hTPecAOWnkn2DZw3btxg3rx5NvOrWL8Nt16WtmnTpvz111+kpKTYPPSK\n3CswMJAxY8bQqVMny+9MwGZpYzAap7y8vBg5cmSmyk1dhpK1a8HTE554Aho1ypPDLkDGLAshhMg7\nHrrGBx8fHyKjonJ8DGSJEiXuax30oKAggoKC7prHxcWF5OTku+YZPHgwgwcPvmue2NhYh+nbtm1L\nk+bl5cWnn37Kp59+6vCY1q1bO6xT5cqVM6xrqvLly7Nw4cK75qlUqRLffPNNpsorUqQIN2/evGue\nggULMnXqVKZOnZpunoyuYdy4cWnmeGjfvn2afCVKlODrr7+2SQsPD0cpRbly5WzSfX19M4yFELmd\ns99w24uOjsbLy4spU6awceNGPDw8mDhxosP5Uj7++GM6duwoDQ+5QPny5Tl79qxNQ1BsbKzDfzOD\ng4MJDg4GYOfOnZQrV86mYXjkyJH89ddfDnu/OXLx4kW2bNnyT4KvLzRtCtu359nGByGEECKveOga\nH8D44/Z+HvyFyEqJiYk2PRxSuwoXK1YMf3//HKyZEDkrs2+47SUlJRETE0Pt2rWZNm0aBw4coG3b\nthw5csRmOdolS5YQHh7O1q1bs/Q6ROZ4e3vToEEDFi9eTFBQEOHh4ZQvX96mQSrVuXPnKF26NDdu\n3GDChAmEhIRY9o0cOZLo6GjWrFmT4fw8qTw9PXF3d+f27dtGQnw87NwJ6ax6JIQQQgjneSgbH4TI\njYYNG0ZSUhJNmjQhMTGR8PBwdu3axfvvv++0lUmEyE2c+YYb0g7h8vHxwcXFhb59+wLg7++Pr68v\nhw4dsvR+WLFiBZMmTWLz5s02DRIiZ82ZM4f+/fszdepUihYtahkKMXHiRMqWLcuQIUMAaNeuHVpr\nbt++zQsvvMCwYcMA2LFjB7Nnz6Z69eo0btwYMHrGrVy5EjDup7Vr13L+/Hnat29P4cKFOXr0KCaT\niXfffdeY+LdvX8iXD0aNgiZNsj8IQgghxCNGGh+EyCatW7fmo48+4vvvvycxMZGqVavy2WefMXTo\n0JyumhBZwllvuFPZz/lQvHhxWrduzbp16+jQoQMnT57k1KlTltU0wsLCGD9+PJs2bbKZn0bkPD8/\nP3bs2JEm3X6VpoMHDzo8vlmzZncdDjdnzpx096U2VrB0KTTIydkShBBCiEeLND4IkU2ee+45nnvu\nuZyuhhDZ6kHfcIMxcWRERARKKWrVqkXVqlXZvHkzYKwOM2jQIEJCQnBxcWHu3LmUKVMGgH79+lGm\nTBk6d+6M1hqlFJs2bcLT0zN7gyCEEEIIIaTxQQghRNZ50DfcAD/88EO6+3x9fS0NEfYs4/qFEEII\nIUSOk8YHIYQQQmSL2NjYHF+NKjJSFocUQgghcoI0PgghhBAiy8XGxlKjWjVuJCbmdFWEEEIIkQOk\n8UEIIYTT5YY33AAlSpSQpZdzifj4eG4kJrIEqJGD9fgRGJ+D5xdCCCEeVdL4IIQQwqliY2OpVqMG\niTdu5HRVcPPwICoyUhogcpEaQE6uMSGDLoQQQoicIY0PQgghnCo+Pt5oeFiyBGrk4DvuyEgS+/Uj\nPj5eGh+EEEIIIXKYND4IIYTIGjVqQIOcfMftPMePHycoKIj4+HiKFSvGggULqOGgYeW9995j0aJF\nuLq64u7uzsyZMwkICABg4cKFfPjhh7i4uGAymZg8eTIdOnQAjJU5Ro8ezfr163F3d6devXosWrQI\nwLIcKX37gocHBAXBSy9lz4ULIYQQQjiJND4Ip9i0aRNt27ZlzZo1PPPMMzldHSGEcKqhQ4cSHBzM\n888/z8qVKwkKCmLXrl02eSIiIggNDSUyMhJ3d3e+/vprRowYwc6dO7l06RIjR47k+PHjeHt7s337\ndrp168b58+cBCAkJwWQycfToUQDi4uLSVmLp0oemMUcIIYQQj56HsvEhN0x0dr+TnC1cuJABAwY4\n3Pf6668zderUB61allFK5XQVhBDC6S5cuMDevXvZsGEDAN27d2fEiBGcOHGCSpUqWfIppUhKSuLq\n1au4u7uTkJBA+fLlAUhJSQHg8uXLeHt7c+nSJcu+GzduMG/ePM6cOWMpq2TJktl1eUIIIYQQ2eKh\na3zILROdPcgkZ0opJk2aRMWKFW3Sa9eu7aTaZQ2tdU5XQQghnO706dOUKVMGk8lkSfPx8SE2Ntam\n8aFu3bq8/PLL+Pr6Urx4cQoUKMDWrVsBKF68OKGhoTRo0IDixYtz8+ZNNm7cCEB0dDReXl5MmTKF\njRs34uHhwcSJE2nVqpVtRfr0gYYNYepU8PXN+gsXQgghhHCih67xIVdMdOaESc6efPJJGtxD91qt\nNbdv36ZAgQL3dT5xb5KSkgDIly/3f4Vya10TExNxc3PL6WoI4TSnTp1i1apVnDhxglKlSjF79mx6\n9erFtm3buHLlCjNnzmTPnj34+fnxww8/0KVLF/744w+SkpKIiYmhdu3aTJs2jQMHDtC2bVuOHDmC\nt7f3P3NDLF8Ov/4KTz0Fhw/n9OUKIYQQQtwTU8ZZ8qjUic5yYsviRo/k5GRMJhOjRo1i8eLF1KpV\nCzc3NzZt2gQYDREzZsywpJcpU4Zhw4Zx5coVm3LKlStHt27d2Lp1K40bN8bd3Z0qVaqwdOnSNOe8\ndOkSL730EhUrVsTNzQ0fHx/69+9PQkKCJY9SipSUFCZNmkS5cuXw8PCgbdu2nDx5MlPX9eeffzJw\n4EAee+wx3N3dqVy5MiNGjLB0VwbjDWGPHj3w8vKiYMGCNGvWjPXr11v2nz17lnz58jFt2rQ05R85\ncgSTycTcuXMtaQkJCYwcORIfHx/c3Nzw8/Pjgw8+sDkuOjoak8nEzJkzmTFjBpUrV8bd3Z2jR49y\n69Ytxo8fT8OGDSlWrBiFChUiMDCQbdu2pTn/xYsXee655yhatCheXl4MGjSI/fv3YzKZ0sQ8MjKS\n7t27U7x4cTw8PGjcuDE//vhjhjG8W10Bbt26xYQJE6hSpQpubm5UqFCBsWPHcufOHUsZNWrUoH37\n9mnKTklJoXTp0vTt29eSdq/32rp162jUqBFubm7MmzcPgHXr1tG8eXM8PT0pXLgw1atXZ8KECTbH\nZ6beQmSV8uXLc/bsWZvfRbGxsWkal1euXEndunUpVaoUAAMGDGDHjh0kJSWxYcMGPD098fPzA+Cp\np57iypUrxMTE4OPjg4uLi+W75e/vj6+vL4cOHQLshmAMHw4nTsClS1l5yUIIIYQQTpe7XoUKi8uX\nL3Px4kWbtOLFi9t8Xr9+PcuXL2f48OF4eXlZ/hAeOHAgy5YtY+DAgbz88sucOHGCTz/9lIiICLZt\n22bpOqyUIioqij59+vCf//yHAQMG8OWXXxIUFERAQABVq1YF4Nq1azRv3pzjx48zaNAg/P39uXDh\nAt9++y1//fUXxYoVA4wH0UmTJpE/f35CQkL4+++/mT59Oi+88ILDh3FrZ86cISAggGvXrhEcHEy1\natU4ffo033zzDYmJiXh4eHDu3DmaNWvGnTt3GDlypGXG+U6dOrFmzRqeeuopypQpQ/PmzQkLC2Ps\n2LE251i+fDn58+enR48egDHOukWLFsTFxREcHEy5cuX45ZdfeO2114iLi2P69Ok2x3/xxRfcuXOH\n4OBgXF1dKVasGAkJCSxYsIBnn32WoUOHcuXKFb788kvatWvHnj17qFWrFmA8uHfo0IEDBw4wfPhw\nqlatypo1axg4cGCauTIOHTpEixYtLA/YHh4erFixgmeeecZynRlxVFetNZ06dWLXrl0EBwfj5+dH\nREQEH374IdHR0YSFhQHQu3dvpk6dysWLF23uuZ9//pkLFy7w7LPPWtLu5V47fPgw/fr1Izg4mKFD\nh1KjRg0OHTpE586dadiwIZMmTaJAgQIcO3aMHTt2WM6R2XoLkVW8vb1p0KABixcvJigoiPDwcMqX\nL28z5AKgUqVKLFiwgOvXr1OwYEG+//57/Pz8yJcvH5UqVeLAgQOcP3+eUqVK8euvv5KcnEz58uVx\ndXWldevWrFu3jg4dOnDy5ElOnTpFjRo1SE5O5u+///7nJCtXQunS4OmZzVEQQgghhHhAWutctwEN\nAL13717tyN69e3V6+1P3sXdvzl3AXeqXkQULFmilVJrNZDJZ8iQlJWmllM6fP78+duyYzfFbtmzR\nSikdHh5uk/7jjz9qpZT+5ptvLGnlypXTJpNJ//bbb5a0c+fOaVdXVz127FhL2rhx47TJZNJr165N\nt94bN27USildt25dnZSUZEmfMWOGNplMOioq6q7X3bdvX50/f34dERGRbp4RI0Zok8mkd+3aZUm7\ncuWKrlChgq5ataol7bPPPnN4zmrVquknn3zS8nnixIm6SJEi+uTJkzb5Xn31Ve3q6qrPnj2rtdb6\n+PHjWimlvby89KVLl2zyJicn6zt37tikJSQkaG9vbx0cHGxJW7FihVZK6dDQUJu8gYGB2mQy6a+/\n/tqS9sQTT+iGDRvaxFFrrZs0aaJr1aqVbnwyquv8+fN1vnz59M6dO23SZ8+erU0mk969e7fWWusj\nR45opZT+/PPPbfINGTJEFytWTN++fVtrfX/32pYtW2zyfvDBB9pkMukrV66ke02Zrbcjd/tdIbJO\nrvg9rB/sd7G9qKgo/a9//Uv7+fnpgIAAffjwYa211hMmTLD5rowbN05Xr15d+/v763//+9963759\nln2ffPKJrlmzpvb399eNGjXSmzZtsuw7ceKEbtmypa5Tp4729/fXq1ev1lprff36dV2zZk0jnn5+\nmjZtNAcP5sl4Wr6PoHUObkvgobg/JZ4ST4lnHomnE/4tknhKPPNCPIEGGZ3u4R12kYcppQgNDWXj\nxo2WLXWWdWutW7emSpUqNmnh4eEUL16cwMBALl68aNkaNWqEu7s7W7Zssclft25dmjRpYvlcqlQp\nqlatyokTJyxpq1atomHDhnTs2DHDug8aNAgXFxfL5xYtWqC1tinPXnJyMt999x1du3albt266eb7\n6aefaNasGQEBAZa0woULM3jwYKKjoy1DC3r06IHJZGLFihWWfAcOHODo0aP06dPHkhYeHk5gYCCF\nCxe2iVWbNm24c+dOmt4avXr1svTySGUymSxzKWituXTpEnfu3KFRo0bs27fPkm/9+vW4ubkxcOBA\nm+OHDRuG1tryOT4+nq1bt9KrVy8SEhIsdYqPj6d9+/ZERkZy4cKFdGN0t7qGh4dTp04dKleubHO9\nLRvOeUEAACAASURBVFu2RGttuTdq1KhB7dq1beKXnJzM6tWr6dKlC/nz57eUdy/3WtWqVQkMDLRJ\nS63j6tWr072WzNZbiKzk5+fHjh07iIqKYteuXdSsWROAt99+myFDhljyTZkyhcjISPbv388vv/xC\n/fr1LftefPFFDh8+zP79+9m9e7fNhJK+vr5s3ryZgwcPsn//frp06QKAh4cHixcvNjItWwYbNkCd\nOtlwxUIIIYQQziXDLnKpgICADCectF8NA+DYsWNcvHgRb2/vNPuUUmnWjnc0IaanpyeXrMYTR0dH\n069fv0zVO3XpOOuyAJvy7J0/f57r169bhiikJzY2Ns3DKxgPywAxMTH4+fnh7e1NYGAgYWFhjB8/\nHoAVK1bg6upq+YMejFhFRkZmOlaO4g0wf/58ZsyYQVRUlGVyR8Aytju1bmXLlsXV1dXmWPvGo2PH\njgEwduxYXn/99XTr5ajOGdX12LFjHD9+PFPX27t3b9566y3i4uIoWbIkGzduJD4+nt69e9uUdy/3\nmq+D2fn79u3LvHnzGDBgAK+++ipt2rShW7dudOvWzTIc5V7q7QzHjx8nKCiI+Ph4y9CeGg7mcXnv\nvfdYtGgRrq6uuLu7M3PmTEvDWEJCAiNGjGD37t24urry9NNPM3XqVP7++29at25tubbr169z8uRJ\n4uLiLA0xb731FsuWLaNAgQJ4e3tb5nIRQgghhBAiL5PGhzzM3d09TVpKSgqPPfYYixcvtnmjnsp+\n7XjrXgrWHB2bGc4u73716dOHIUOGcOTIEWrWrEl4eDjt2rWjaNGiNnV68sknGT16tMMyqlWrZvPZ\nUbwXLFjAoEGD6NGjB2PHjsXb2xsXFxcmTZrEmTNn7rneqRPahYSE0KZNG4d5HD3E20vv3vD39+eD\nDz5w+POwbojq06cP48ePJzw8nGHDhhEWFoaXlxdt27a1Ke9e7jVHdXJ3d+eXX35hy5YtrF27lnXr\n1rFs2TLatWvHunXr7rnezjB06FCCg4N5/vnnWblyJUFBQezatcsmT0REBKGhoURGRuLu7s7XX3/N\niBEj2LlzJ2DMhdGiRQuWLFkCYGkg8fLyYv/+/ZZyPvzwQ7Zu3WppeJg5cya///47R44cwcXFxekN\nK0IIIYQQQuQUaXx4yFSuXJlt27bRvHlzS/d4Z5T5+++/O6UsR0qVKkXBggUzPIePjw9RUVFp0iMj\nIwGoUKGCJa1bt24MGzbMMlFjdHQ077zzjs1xlSpV4vr16zZdn+/VypUrqVatWppJD8eNG2fzuUKF\nCuzYsYPbt2/b9H5I7emQqnLlygC4uro+UL0cqVy5MlFRUbRs2TJTeRs0aMCKFSsYMmQIa9asoUeP\nHjaNS86615RStGrVilatWvHhhx8yadIk3nrrLbZu3crjjz9+T/V+UBcuXGDv3r2WYU7du3dnxIgR\nnDhxwmZyQaUUSUlJXL16lf9n797Ds6oOvO9/V0BBUFMloBgSBCsBtUACDh1jdTyUiqAzSCXloETF\nQKu+6tuqjzNjKVNAW6fDaIsGLGcqiIAo1Wk7HnqQvMohkWob6IsR7lQRicpBEDRkP39Ebg0hQgKb\nEPh+ritX7732WnuvdYtc5td1OOGEE9i8eXNy1s+bb77JypUrWbRoUbL+3kHMHlOnTuWBBx5IXv/n\nf/4nL730UvJ7rqudDp9EIkFFRUWj9mHP33GSJElNmeHDUWbw4MFMmTKFcePGMXbs2Br3Kisr2bFj\nByeffHK9njlo0CDuv/9+nn32Wfr3719nvb1PbThQzZo145//+Z+ZP38+q1atokePHvusd+WVVzJp\n0iRWrFhB7969geqTOB577DG++tWv1ljmcMopp3D55ZfzxBNP8PHHH3PCCSdw9dVX13je4MGDGT9+\nPC+++GKtX/Q3b97MSSedVOdMji/2fW9Lly5l+fLlySAB4Fvf+hbTp09n6tSpfPe73wWqZ1488sgj\nNb63008/nQsvvJBHH32U733ve7V++ayoqCAtLe1L+1SXwYMHM3LkSKZPn84NN9xQ497HH38M1Jyd\nkJeXx7333su0adP48MMPayy52PO8g/2z9sEHH3DqqafWKNvzz3/Xrl0N6vfBKC8vp3379slTOqA6\n9EokEjXCh+7du3PHHXfQqVMn2rRpQ4sWLfjjH/8IVB/pmp6ezujRo1mxYgVpaWk88MAD9OzZs8a7\nioqK2Lx5c/L0km3btrFx40YWL17MggULCCFw5513Mnjw4EMyNtVfIpGgW1YWO3bubOyuSJIkNXmG\nD0egg1micOmll3LTTTcxbtw4iouLufzyy2nevDl/+9vfWLBgAY8++mitX8L355577mHhwoVcc801\n3HjjjWRnZ/P+++/z9NNPM23atOTGawfT7wceeIAXX3yRCy+8kFGjRpGVlcXbb7/Nk08+yfLly2nV\nqhX33nsv8+fPp2/fvsmjNqdPn87bb7/N4sWLaz0zLy+P/Px8Jk+eTL9+/WjdunWtcS1ZsoR+/fpx\nww03kJ2dzUcffcSf//xnFi1axNtvv73fX54HDBjAM888wzXXXEO/fv148803mTx5Muecc07yl2eo\n3gSzV69e3H777axZs4YuXbqwePFitm3bBtQMbh599FEuuugizjvvPG6++WY6derExo0bWbp0Ke+9\n9x4rVqxo0Hecn5/Pk08+yc0338zzzz/PBRdcQGVlJaWlpTz55JO89NJLNTb8HDx4MPfccw933XUX\n7dq1qzXz4FD8WRszZgyvvPIK/fr1o2PHjrz77rs88sgjdOzYkQsuuKBB/T4c1q1bx6JFiygrK+O0\n005j0qRJDB48mD/96U9UVlaybNkyHnjgAQoLC/nNb37DgAEDWL9+fY2watq0aVx//fXJoKOyspLK\nykp27drFK6+8wvr167ngggvo1q0bX3ODwUZRUVHBjp07mQPU3vXj8HkOuK8R3y9JknQoHL3hQ2NO\nUz3Idx/IDIIQQp31HnvsMf7hH/6BKVOm8G//9m8cd9xxnHnmmeTn5/P1r3/9gJ7xxfKTTjqJpUuX\nMmbMGBYvXsyMGTM47bTT+OY3v0l6evp++30g4+nQoQOvvvoq//7v/86cOXPYunUr6enp9O/fn5Yt\nWwLQvn17ioqKuOeee3j44YfZtWsXPXv25Nlnn6Vv3761nvkv//IvtGjRgu3bt9c45WKP1q1b8/LL\nLzN+/HgWLFjAzJkzSU1NpUuXLowbN44TTzxxv9/VyJEjee+993jsscf47W9/yznnnMO8efOYM2dO\njX0CUlJS+J//+R9uv/12pk+fTvPmzRk4cCD33XcfF198cXKMAOeeey4rVqzgRz/6EdOnT+fDDz+k\nXbt2ZGdn88Mf/nC/32VdfU1JSeHXv/41P/vZz5g9ezaLFi2idevWnHXWWXz/+9+vMVMDqpeK9OnT\nh2XLlnHdddft85kH+2dt4MCB/P3vf2f69OlUVFTQtm1bLrvsMsaOHZsMi+rb74ORkZHBhg0bqKqq\nSoYCiUSi1r4SCxcupHv37px22mkA3HDDDdx2221UVlaSmZlJhw4duOiiiwC44oor+OSTT1i/fn1y\n9sT27duZP39+jSDplFNO4aSTTmLYsGFA9fefm5vL8uXLDR8aWTeqz39uLC66kCRJR4XGOlL0y36o\n/u+8Os8bXfkl55GuX78+atmq1Z6zRhvtp2WrVtH69esP5GhUHcOefPLJKCUlJVq2bFljd+Wo9GV/\nV9TlkksuiWbMmBFFUfU/n/PPP79WnUWLFkXnnXde9NFHH0VRFEXz5s2Lunbtmrz/ta99Lfrzn/8c\nRVEUvfrqq1Hbtm2jTz75JHn/l7/8ZfSNb3yj1nNHjRoVPfLII1EURdH7778fdezYMVq+fPkB9/1I\nkTzv2XPqD8nPEXEOuN+n36ffp9+n32ejfJd+n36fTeX7BHL297qjbuZDZmYma0pLG32DsLS0tEO+\nC7+atp07d9aY4VBVVcUvfvELvvKVr9TaD0CNp7CwkPz8fCZMmEBqaiozZswAqpeIpKenU1BQwMCB\nA5N7j7Rs2ZLWrVvz+OOPJ58xc+ZMbr75Znbu3EmLFi1YtGhRjU05p0+fTkFBQa13T5gwgRtuuCG5\nF8i9996b3N9EkiRJasqOuvABqgMIf/HXkeZ73/selZWV9OnTh507d7JgwQKWLVvGgw8+eMhOJtHB\n69KlC0VFRbXK995Uc/z48YwfP36fz8jOzuaVV16p8x0vv/zyPstPPfVUnn766Xr0VpIkSWoajsrw\nQToSXXbZZUycOJElS5awc+dOzj77bB555BFGjRrV2F2TJEmSpFgZPkiHybBhw5KbCUqSJEnSscTw\nQZKoPtWisfeKAfeLkSRJ0tHJ8EHSMS+RSJDVrRs7d+xo7K7QslUr1pSWGkBIkiTpqGL4IOmYV1FR\nUR08zJkD3bo1XkdKS9k5fDgVFRWGD5IkSTqqGD5I0h7dukFOTmP3QpIkSTrqNOnwobS0tLG7IOkI\n5t8RkiRJ0pGhSYYPaWlptGrViuHDhzd2VyQd4Vq1akVaWlpjd0OSJEk6pjXJ8CEzM5PS0tIjYmd6\nSUc2T4+QJEmSGl+TDB+gOoDwFwpJkiRJko58KY3dAUmSJEmSdHQzfJAkSZIkSbEyfJAkSZIkSbEy\nfJAkSZIkSbEyfJCko9DatWvJzc0lKyuLPn36UFpaus96P/nJTzj33HPJzs7mggsuYPny5cl71157\nLenp6aSkpLB169Ya7Z577jl69epFdnY23bt3Z9asWbUffs010L07XHbZIR2bJEmSmh7DB0k6Co0a\nNYrRo0ezZs0a7r77bkaMGFGrzqpVq3j00UdZsWIFJSUl3HLLLdx6663J+9/97ndZtWoVIYRaba+7\n7jpmzZpFSUkJS5YsYdSoUWzfvh2Axx9/vLrSk0/Cn/8Mc+fGM0hJkiQ1GYYPknSU2bRpEytXrmTY\nsGEADBo0iPLycsrKymrUCyFQWVnJtm3bANi8eTMZGRnJ+5deeilpaWlEUVTrHSkpKXz44YcAbNmy\nhbS0NFq0aAHAnDlzqis1a1b9v+3aHdLxSZIkqelp3tgdkCQdWuXl5bRv356UlM/z5czMTBKJBJ07\nd06Wde/enTvuuINOnTrRpk0bWrRowR//+McDese8efMYOHAgrVu3ZvPmzSxatIjmzZuzbds23n//\n/epKI0bAiSfCnXfC4MGHdIySJElqWpz5IEnHqHXr1rFo0SLKyspIJBLccccdDD6AkGD37t2MGzeO\nxYsXs27dOp5//nmGDx/OBx98QGVlJbt3766uOHMmzJtXHT68/nrMo5EkSdKRzPBBko4yGRkZbNiw\ngaqqqmRZIpEgMzOzRr2FCxfSvXt3TjvtNABuuOEGli5dSmVlZY16e+/58Nprr7FhwwZyc3MB6N27\nNx06dKCkpIRTTjmFVq1afV65Y0fIzYUvbGQpSZKkY4/hgyQdZdq2bUtOTg6zZ88GYMGCBWRkZNRY\ncgHQuXNnli5dmtwocsmSJWRlZdG8ec0VeXvv+bAn3Fi9ejVQfbJGWVkZWVlZAFxxxRWfV/7gA1i2\nrPrUC0mSJB2z3PNBko5ChYWF5OfnM2HCBFJTU5kxYwYAY8aMIT09nYKCAgYOHMiKFSvo3bs3LVu2\npHXr1p+fVAEMGDAgedrFueeey9lnn82LL75Iu3btmDJlCoMHD6ZZs2ZUVVUxadIkOnToAMAtt9zC\nwoULq/d5aNUK7r0XevdujK9BkiRJRwjDB0k6CnXp0oWioqJa5WPHjq1xPX78eMaPH7/PZ/z617+u\n8/l5eXnk5eXt815qamr1h/nzISfnAHssSZKko5nLLiRJkiRJUqwMHyRJkiRJUqxcdiFJR5lEIkFF\nRUWjvb+0tLTR3i1JkqQjk+GDJB1FEokE3bKy2LFzZ2N3RZIkSUoyfJCko0hFRQU7du5kDtCtkfrw\nHHBfI71bkiRJRybDB0k6CnUDGuucCRddSJIkaW8N2nAyhHBLCOGtEMLHIYRXQgjn76f+sBDCayGE\n7SGEd0IIU0MIpzasy5IkSZIkqSmpd/gQQsgDfgaMAbKBVcBvQwhpddTPBWYCjwHnAN8G/gGY0sA+\nS5IkSZKkJqQhMx/uBCZHUTQriqLVwGhgB3BjHfW/DrwVRdGkKIrWR1FUBEymOoCQJEmSJElHuXqF\nDyGE44BewAt7yqIoioDngX+so9n/B2SEEPp99ozTgGuBZxvSYUmSJEmS1LTUd+ZDGtAM2LhX+Ubg\n9H01+Gymw3DgiRDCJ8AG4EPg1nq+W5IkSZIkNUGxn3YRQjgHeAj4EfA7oD3wn1QvvRj5ZW3vvPNO\nUlNTa5QNGTKEIUOGxNJXSZIkSZJU29y5c5k7d26Nsi1bthxw+/qGDxXAbuC0vcpPA96to83/AZZG\nUfRfn12/EUL4HvCnEMK/RVG09yyKpIkTJ5KT01iHxUmSJEmSJNj3RIDi4mJ69ep1QO3rtewiiqJP\ngZXAZXvKQgjhs+uiOpq1Air3KqsCIiDU5/2SJEmSJKnpachpF/8F3BxCuD6E0BUopDpgmAEQQrg/\nhDDzC/WXAINCCKNDCJ0+O3rzIeDVKIrqmi0hSZIkSZKOEvXe8yGKovkhhDTgP6hebvEa8K0oijZ9\nVuV0IOML9WeGEE4EbqF6r4fNVJ+W8X8Osu+SJEmSJKkJaNCGk1EUPQI8Use9G/ZRNgmY1JB3SZIk\nSZKkpq0hyy4kSZIkSZIOmOGDJEmSJEmKleGDJEmSJEmKleGDpCPC2rVryc3NJSsriz59+lBaWlqr\nzu9+9zuys7PJyckhOzub9PR0evfunbyfkpJCjx49knWWLl2avPfJJ59w22230aVLF3r06MH111+f\nvDd27NjqD0OHQp8+8OKL8Q1UkiRJOgY1aMNJSTrURo0axejRo7nuuutYuHAhI0aMYNmyZTXq9O3b\nl759+yavr7rqKi677LLkdQiBl19+mZNOOqnW8++55x5SUlL429/+BsB7772XvPf973+fZ555Bh5/\nHFJS4LLL4P33D/UQJUmSpGOWMx8kNbpNmzaxcuVKhg0bBsCgQYMoLy+nrKyszjbvvPMOL7zwAsOH\nD0+WRVFEFEW16u7YsYNp06Yxfvz4ZFm7du2Sn0888cTPK2/eDCEczHAkSZIk7cXwQVKjKy8vp337\n9qSkfP5XUmZmJolEos42M2fOpH///qSlpSXLQghccsklZGdn84Mf/IAdO3YA8Oabb3Lqqacyfvx4\nzj//fC6++GJe3NfSin/+Z/j2t2HhwkM3OEmSJEmGD5KapmnTpjFy5MgaZevXr2flypUUFRXx3nvv\ncddddwFQWVnJ+vXrOe+881i+fDkPPfQQeXl5bNq0qeZDn34a5s+Hu+6CysrDNRRJkiTpqGf4IKnR\nZWRksGHDBqqqqpJliUSCzMzMfdb//e9/z65du2rs/wDQoUMHAE444QS+973v8fLLLwPVsyiaNWvG\n0KFDAejZsyedOnXi9ddfr/3wSy+FbdtgX/ckSZIkNYjhg6RG17ZtW3Jycpg9ezYACxYsICMjg86d\nO++z/rRp08jPzyd8YW+GzZs38/HHHwNQVVXFE088QXZ2NgBt2rThsssu4ze/+Q0Ab731FuvWraNb\nt25UVlZSXl7++cOXLYNNm6COd0uSJEmqP0+7kHREKCwsJD8/nwkTJpCamsqMGTMAGDNmDOnp6RQU\nFACwdetWnnrqqVqzFlavXs2oUaNISUmhsrKSnJwcHnrooeT9Rx99lJtuuol77rmHZs2aMWXKFNq3\nb8/HH3/MmDFjqisNHQpt21bv+ZCaeljGLUmSJB0LDB8kHRG6dOlCUVFRrfKxY8fWuD755JPZtm1b\nrXpf//rXWbVqVZ3P79Sp0z43mTzhhBOYNm0avXr1qj5qMyenAb2XJEmS9GVcdiFJkiRJkmJl+CBJ\nkiRJkmLlsgtJjS6RSFBRUdFo7y8tLW20d0uSJEnHAsMHSY0qkUjQLSuLHTt3NnZXJEmSJMXE8EFS\no6qoqGDHzp3MAbo1Uh+eA+5rpHdLkiRJxwLDB0lHhG5AY50z4aILSZIkKV5uOClJkiRJkmJl+CBJ\nkiRJkmJl+CBJkiRJkmJl+CBJkiRJkmJl+CBJkiRJkmJl+CBJkiRJkmJl+CBJkiRJkmJl+CA1cWvX\nriU3N5esrCz69OlDaWlprTq/+93vyM7OJicnh+zsbNLT0+ndu3fy/quvvkrPnj3p2rUrl19+ORs2\nbEjee+655+jVqxfZ2dl0796dWbNm1Xr+iy++SPPmzXn44YfjGaQkSZKkJs3wQWriRo0axejRo1mz\nZg133303I0aMqFWnb9++lJSUUFxcTElJCTk5OQwfPhyAKIoYPnw4Dz/8MKtXr6Zfv37cfvvtybbX\nXXcds2bNoqSkhCVLljBq1Ci2b9+evL9161buvfde+vfvH/9gJUmSJDVJhg9SE7Zp0yZWrlzJsGHD\nABg0aBDl5eWUlZXV2eadd97hhRdeSIYPK1eu5LjjjuOiiy4CqsOMJUuW8MknnwCQkpLChx9+CMCW\nLVtIS0ujRYsWyefdeuut3HfffZx66qmxjFGSJElS02f4IDVh5eXltG/fnpSUz/9VzszMJJFI1Nlm\n5syZ9O/fn7S0NAASiQQdO3ZM3j/xxBNJTU3lnXfeAWDevHkMHDiQM888k4suuoiZM2fSvHlzABYu\nXEizZs0YMGBAHMOTJEmSdJRo3tgdkHR4TZs2jV/84hdfWieKIgB2797NuHHjWLx4Mbm5uaxYsYKr\nr76aN954g08//ZRx48bxhz/84XB0W5IkSVITZvggNWEZGRls2LCBqqqq5OyHRCJBZmbmPuv//ve/\nZ9euXfTt2zdZlpmZybp165LX27ZtY+vWrZxxxhm89tprbNiwgdzcXAB69+5Nhw4dKCkpYdeuXbz7\n7rv07NmTKIqoqKhgyZIlbNq0iR//+MfxDVqSJElSk+OyC6kJa9u2LTk5OcyePRuABQsWkJGRQefO\nnfdZf9q0aeTn5xNCSJb16tWLysrK5AyGyZMnc9VVV3H88ccnw43Vq1cD1SdrlJWVkZWVxZVXXsmG\nDRsoKyvjrbfe4tvf/jY//OEPDR4kSZIk1eLMB6mJKywsJD8/nwkTJpCamsqMGTMAGDNmDOnp6RQU\nFADVp1I89dRTvP766zXahxCYM2cOBQUF7Nq1izPOOCMZZrRr144pU6YwePBgmjVrRlVVFZMmTaJD\nhw61+vHFQEOSJEmSvsjwQWriunTpQlFRUa3ysWPH1rg++eST2bZt2z6f0adPH1atWrXPe3l5eeTl\n5e23H9OmTTuA3kqSJEk6FrnsQpIkSZIkxcrwQZIkSZIkxcplF1ITlUgkqKioaOxukJaWVufpGpIk\nSZIEhg9Sk5RIJMjq1o2dO3Y0dldo2aoVa0pLDSAkSZIk1cnwQWqCKioqqoOHOXOgW7fG60hpKTuH\nD6eiosLwQZIkSVKdDB+kpqxbN8jJaexeSJIkSdKXcsNJSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIU\nK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MH\nSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIk\nSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIU\nK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MH\nSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHSZIkSZIUK8MHqYHWrl1Lbm4uWVlZ\n9OnTh9LS0n3WKy8v5+qrr6Zr166cd955TJo0KXnv1VdfpWfPnnTt2pXLL7+cDRs2JO+deeaZdOvW\njezsbHJycnjyySeT90aMGFH9YehQ+NrXICUF3ngjnoFKkiRJ0kEyfJAaaNSoUYwePZo1a9Zw9913\nfx4I7GXgwIHk5+ezevVq3njjDQYPHgxAFEUMHz6chx9+mNWrV9OvXz9uv/32ZLuUlBTmz59PSUkJ\nxcXFXHvttcl7M2fOrP7w+OPwox9VBxDnnRfbWCVJkiTpYBg+SA2wadMmVq5cybBhwwAYNGgQ5eXl\nlJWV1aj3wgsv0LJlS6655ppkWdu2bQFYuXIlxx13HBdddBFQHWYsWbKETz75BKgOJ6Io2n9npk6F\nm246FMOSJEmSpFgYPkgNUF5eTvv27UlJ+fxfoczMTBKJRI16f/3rX0lLS2PIkCHk5OQwaNAg3nrr\nLQASiQQdO3ZM1j3xxBM5+eSTeeedd5Jl1113HT169ODmm2+moqKidkfefRf++EcYPvwQj1CSJEmS\nDh3DBylGlZWVvPTSS4wZM4bi4mL69u2bXHaxP3/6059YtWoVxcXFtGnTZt/LOn79axgwAE499RD3\nXJIkSZIOHcMHqQEyMjLYsGEDVVVVybJEIkFmZmaNepmZmWRnZ9O1a1egeiZDSUkJu3fvJjMzk3Xr\n1iXrfvTRR2zdupUzzjgDgA4dOgDQrFkz7rjjDl5++eXaHXnmGRg58hCPTpIkSZIOLcMHqQHatm1L\nTk4Os2fPBmDBggVkZGTQuXPnGvX69evH3//+9+RSimeffZZu3brRrFkzevXqRWVlJX/4wx8AKCws\n5KqrruL4449nx44dbNmyJfmcxx9/nOzs7NodqaqCyy+PaZSSJEmSdGg0b+wOSE1VYWEh+fn5TJgw\ngdTUVGbMmAHAmDFjSE9Pp6CggFatWlFYWEj//v0BSE1NZd68eQCEEJgzZw4FBQXs2rWLM844Ixlm\nbNy4kUGDBlFVVUUURXTu3JlZs2bV7sTVVx+WsUqSJEnSwTB8kBqoS5cuFBUV1SofO3ZsjevLRKak\niwAAIABJREFUL7+ckpKSfT6jT58+rFq1qlZ5p06dKC4u3n8nCgoOrLOSJEmS1IgatOwihHBLCOGt\nEMLHIYRXQgjn76f+8SGE8SGEdSGEnSGEshBCfoN6LEmSJEmSmpR6z3wIIeQBPwMKgGXAncBvQwhd\noijax1mAADwJtAVuAN4E2uN+E5IkSZIkHRMasuziTmByFEWzAEIIo4H+wI3AT/euHEK4AvgG0DmK\nos2fFSca1l3pyJBIJKioqCtri19paWmjvVuSJEmS6qte4UMI4TigFzBhT1kURVEI4XngH+todhWw\nArgnhHAdsB14BrgviqKdDeq11IgSiQTdsrLYsdM/vpIkSZJ0IOo78yENaAZs3Kt8I5BVR5vOVM98\n2An8y2fPeBQ4Fbipnu+XGl1FRQU7du5kDtCtkfrwHHBfI71bkiRJkurrcJx2kQJUAUOjKPoIIITw\n/wJPhhC+F0XRrroa3nnnnaSmptYoGzJkCEOGDImzv9IB6QbkNNK7XXQhSZIk6XCaO3cuc+fOrVG2\nZcuWA25f3/ChAtgNnLZX+WnAu3W02QC8vSd4+EwpEIAOVG9AuU8TJ04kJ6exfr2TJEmSJEmw74kA\nxcXF9OrV64Da1+vEiSiKPgVWApftKQshhM+ui+pothQ4I4TQ6gtlWVTPhvh7fd4vSZIkSZKanoYc\nd/lfwM0hhOtDCF2BQqAVMAMghHB/CGHmF+o/DrwPTA8hdAshXET1qRhTv2zJhSRJkiRJOjrUe8+H\nKIrmhxDSgP+gernFa8C3oija9FmV04GML9TfHkL4JvBzYDnVQcQTuF+eJEmSJEnHhAZtOBlF0SPA\nI3Xcu2EfZX8DvtWQd0mSJEmSpKatIcsuJEmSJEmSDpjhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJ\nipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXh\ngyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJ\nkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJ\nipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXh\ngyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJ\nkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgyRJkiRJipXhgw67tWvXkpubS1ZWFn369KG0tPRL6+fn\n55OSksLWrVsBeOONN8jOziYnJ4ecnBw6depEWlpasv5zzz1Hr169yM7Opnv37syaNSt575/+6Z/o\n3Llzsu1DDz0UzyAlSZIkSUnNG7sDOvaMGjWK0aNHc91117Fw4UJGjBjBsmXL9ln3qaee4vjjjyeE\nkCw777zzKCkpSV7fdtttpKR8nqNdd911/PGPf+Tcc89l/fr1dO3alUGDBtG6dWtCCDz00ENcddVV\n8Q1QkiRJklSDMx90WG3atImVK1cybNgwAAYNGkR5eTllZWW16m7cuJH777+fiRMnEkXRPp+3a9cu\nfvWrX3HTTTcly1JSUvjwww8B2LJlC2lpabRo0SJ5v6qq6lAOSZIkSZK0H4YPOqzKy8tp3759jZkK\nmZmZJBKJWnULCgp48MEHad26dZ3PW7hwIWeddRbdu3dPls2bN4+BAwdy5plnctFFFzFz5kyaN/98\nks8999xDjx49GDJkCG+99dYhGpkkSZIkqS6GDzoiTZ06lY4dO3LxxRd/ab1p06bVmPWwe/duxo0b\nx+LFi1m3bh3PP/88w4cP54MPPgBgzpw5rF69mlWrVnHhhRcyYMCAWMchSZIkSTJ80GGWkZHBhg0b\naix9SCQSZGZm1qj30ksv8fTTT9O5c2c6deoEQPfu3Vm1alWyzrp163j11VcZOnRosuy1115jw4YN\n5ObmAtC7d286dOiQ3CMiPT09WfeWW26hrKwsuURDkiRJkhQPwwcdVm3btiUnJ4fZs2cDsGDBAjIy\nMujcuXONenPmzGH9+vWUlZUll0a8/vrr9OjRI1ln6tSpDBw4kJNPPjlZtifcWL16NVB9skZZWRlZ\nWVns3r2b9957L1l34cKFnH766ZxyyimxjVeSJEmS5GkXagSFhYXk5+czYcIEUlNTmTFjBgBjxowh\nPT2dgoKCWm1CCDU2nYyiiFmzZiVDjD3atWvHlClTGDx4MM2aNaOqqopJkybRoUMHduzYQf/+/fnk\nk08IIdC2bVueeeaZWMcqSZIkSTJ8UCPo0qULRUVFtcrHjh1bZ5vdu3fXuA4hsH79+n3WzcvLIy8v\nr1Z5q1atWL58eT17K0mSJEk6WC67kCRJkiRJsTJ8kCRJkiRJsXLZhQ6bRCJBRUVFY3eDtLS0Wqdr\nSJIkSZLiY/igwyKRSJDVrRs7d+xo7K7QslUr1pSWGkBIkiRJ0mFi+KDDoqKiojp4mDMHunVrvI6U\nlrJz+HAqKioMHyRJkiTpMDF80OHVrRvk5DR2LyRJkiRJh5EbTkqSJEmSpFgZPkiSJEmSpFgZPhxD\n1q5dS25uLllZWfTp04fS0tIvrZ+fn09KSgpbt26tdW/MmDGkpKTw5z//OVl2++2306lTp1rlAH/5\ny1+qPwwZUr3s4qWXDn5AkiRJkqQmwfDhGDJq1ChGjx7NmjVruPvuuxkxYkSddZ966imOP/54Qgi1\n7i1fvpwVK1Zw5pln1ii/9tprWbp0aa1ygLvuuqv6w9y58MQTkJ8Pu3YdxGgkSZIkSU2F4cMxYtOm\nTaxcuZJhw4YBMGjQIMrLyykrK6tVd+PGjdx///1MnDiRKIpq3Pv444+59dZbmTJlSq17F154IWec\ncUat8vfff5/Nmzd/XnD22fCVr8D//M8hGp0kSZIk6Uhm+HCMKC8vp3379qSkfP6PPDMzk0QiUatu\nQUEBDz74IK1bt6517+677+aWW24hPT39gN/dpk0b0tLSPi9YvhzWrIF16+o1BkmSJElS02T4oBqm\nTp1Kx44dufjii2vde/7551m/fj3XX399vZ/7s5/9rPrDsGHw85/DN74BzT3pVZIkSZKOBYYPx4iM\njAw2bNhAVVVVsiyRSJCZmVmj3ksvvcTTTz9N586d6dSpEwDdu3dn1apVvPjii5SUlCTv/f3vf+fK\nK6/k2Wef3e/7zz777OoPv/oVzJoFb78N55576AYoSZIkSTpi+X89HyPatm1LTk4Os2fPZsSIESxY\nsICMjAw6d+5co96cOXNqXKekpPD6669z0kkn0aNHDyZMmJC816lTJ5555hm+9rWv7ff9FRUVn188\n9hiceCJccsnBDUqSJEmS1CQ48+EYUlhYyOTJk8nKyuKnP/0pM2bMAKqPzZwyZco+24QQam0gWde9\n0aNHk5GRwdtvv823vvUtunTpkry3aNGi6g/XXAPPPgtPPXVoBiVJkiRJOuI58+EY0qVLF4qKimqV\njx07ts42u3fvrvPe3idlFBYW1lm3oKCAyZMnw6JFkJNzAL2VJEmSJB0tnPkgSZIkSZJiZfggSZIk\nSZJi5bKLY0Qikai56eNhVlpa2mjvliRJkiQ1LsOHY0AikaBbVhY7du5s7K5IkiRJko5Bhg/HgIqK\nCnbs3MkcoFsj9eE54L5GerckSZIkqXEZPhxDugGNdc6Eiy4kSZIk6djlhpOSJEmSJClWhg+SJEmS\nJClWhg+SJEmSJClWhg+SJEmSJClWhg+SJEmSJClWhg+SJEmSJClWhg+SJEmSJClWhg+SJEmSJClW\nhg+SJEmSJClWhg+SJEmSJClWhg+SJEmSJClWDQofQgi3hBDeCiF8HEJ4JYRw/gG2yw0hfBpCKG7I\neyVJkiRJUtNT7/AhhJAH/AwYA2QDq4DfhhDS9tMuFZgJPN+AfkqSJEmSpCaqITMf7gQmR1E0K4qi\n1cBoYAdw437aFQK/Al5pwDslSZIkSVITVa/wIYRwHNALeGFPWRRFEdWzGf7xS9rdAHQCxjasm5Ik\nSZIkqalqXs/6aUAzYONe5RuBrH01CCGcDUwALoyiqCqEUO9OSpIkSZKkpqu+4UO9hBBSqF5qMSaK\nojf3FB9o+zvvvJPU1NQaZUOGDGHIkCGHrpOSJEmSJOlLzZ07l7lz59Yo27JlywG3r2/4UAHsBk7b\nq/w04N191D8J6A30DCFM+qwsBQghhE+AvlEU/b6ul02cOJGcnJx6dlGSJEmSJB1K+5oIUFxcTK9e\nvQ6ofb32fIii6FNgJXDZnrJQvY7iMqBoH022AucBPYEen/0UAqs/+/xqfd4vSZIkSZKanoYsu/gv\nYEYIYSWwjOrTL1oBMwBCCPcDZ0RRNOKzzSj/+sXGIYT3gJ1RFJUeTMclSZIkSVLTUO/wIYqi+SGE\nNOA/qF5u8RrwrSiKNn1W5XQg49B1UZIkSZIkNWUN2nAyiqJHgEfquHfDftqOxSM3JUmSJEk6ZtRr\nzwdJkiRJkqT6MnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQ\nJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmS\nJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmx\nMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQ\nJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmS\nJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmx\nMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQ\nJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmS\nJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmxMnyQJEmSJEmx\nMnyQJEmSJEmxMnw4AGvXriU3N5esrCz69OlDaWlprTpvvPEGF198Meeccw7du3dn5MiR7Nq1C4Ad\nO3bw9a9/nezsbHr27MmVV17J+vXrAfjggw/Izs4mJyeHnJwcsrKyOP7449m8eTMAN954Iz169CA7\nO5s+ffrw4osvHr6BS5IkSZJ0CBg+HIBRo0YxevRo1qxZw913382IESNq1WnZsiWTJk3ir3/9K6tW\nreKjjz7iJz/5CQAnnHACL7zwAiUlJbz22mv07duX22+/HYBTTz2VkpISiouLKS4upqCggH79+vGV\nr3wFgP/+7/9m1apVlJSUMHnyZK699trDN3BJkiRJkg4Bw4f92LRpEytXrmTYsGEADBo0iPLycsrK\nymrU++pXv8p5550HQAiB888/n3Xr1iWvW7duDUAURWzdupWUlH1/9VOnTmXkyJHJ65NPPjn5efPm\nzYQQDtnYJEmSJEk6HJo3dgeOdOXl5bRv375GWJCZmUkikaBz5877bLN9+3Z++ctfJmc+7PHNb36T\n119/nXbt2vHb3/62VruioiI2b95M//79a5Tfe++9PPnkk2zevJmFCxceglFJkiRJknT4OPPhEPv0\n00/5zne+wxVXXMHVV19d497//u//8u6775KXl8e4ceNqtZ02bRrXX399rVkR999/P2vXrmX+/Pnc\nddddVFZWxjoGSZIkSZIOJcOH/cjIyGDDhg1UVVUlyxKJBJmZmbXqVlZWkpeXR3p6OhMnTqzzmSNH\njmT27Nk1yrZv3878+fO58cYb62x36aWXsm3bNl5//fUGjESSJEmSpMZh+LAfbdu2JScnJxkWLFiw\ngIyMjFpLLnbv3k1eXh5t2rShsLCwxr2NGzcmT68AmDdvHj169KhRZ968efTs2ZMuXbokyyorK3nz\nzTeT18uWLWPTpk11LveQJEmSJOlI5J4PB6CwsJD8/HwmTJhAamoqM2bMAGDMmDGkp6dTUFDAE088\nweLFi+nevTvZ2dmEEMjNzeXnP/85iUSCUaNGUVVVRRRFnHXWWcyZM6fGO6ZPn05BQUGNsk8//ZQR\nI0awdetWmjVrxoknnsjChQtJTU09XEOXJEmSJOmgGT4cgC5dulBUVFSrfOzYscnPQ4cOZejQofts\nf/7551NcXPyl73j55ZdrlZ1wwgn7LJckSZIkqSk5opddlJeXk5ubS1ZWFn369KG0tLRWnTfeeIOL\nL76Yc845h+7duzNy5Eh27dqVvH/ttdeSnp5OSkoKW7duTZZ/8MEHZGdnk5OTQ05ODllZWRx//PHJ\n5RHLly/nwgsvpGfPnuTk5PDSSy/FP2BJkiRJko5CR3T4MH78eEaPHs2aNWu4++67GTFiRK06LVu2\nZNKkSfz1r39l1apVfPTRRzWOuPzud7/LqlWrCCHUaHfqqadSUlJCcXExxcXFFBQU0K9fP77yla8A\ncM011/DjH/+Y1157jSeeeIL8/PwaoYYkSZIkSTowR/Syi9LSUoYNGwbAoEGDuPXWWykrK6ux4eJX\nv/rV5OcQAueffz5/+ctfkmWXXnopAFEUfem7pk6dygMPPADA+++/T0VFBWeddVZyuUSLFi34xS9+\nwSWXXHJoBlcPaWlp+zxdQ5IkSZKkpuCIDh/S0tJISfl8ckZmZiaJRKLO0x62b9/OL3/5yxozHw5E\nUVERmzdvZsCAAQC0adOGtm3b8tWzz+bTTz5J1vvBD37QgFEcvJatWrGmtNQAQpIkSZLUJB3R4UN9\nfPrpp3znO9/hiiuu4Oqrr65X22nTpnH99dfXCDoefPBBvvOd78CZZ8K550JFBVx8MeTlHeKe70dp\nKTuHD6eiosLwQZIkSZLUJB3R4UNFRQVVVVXJUCCRSOzzF/DKykry8vJIT09n4sSJ+3zW3ns+7LF9\n+3bmz5/PihUrapSfffbZ1R8WLoScHDjnHLjiiurPkiRJkiTpgB3RG0527dqV2bNnA7BgwQIyMjJq\nLbnYvXs3eXl5tGnThsLCwjqfVdeeD/PmzaNnz5506dKlRnlFRcXnF489BieeCI2w34MkSZIkSU3d\nER0+/Ou//iuTJ08mKyuLn/70p8yYMQOAMWPGMGXKFACeeOIJFi9ezIoVK5JHZ952223JZwwYMICM\njAxCCJx77rnJDSj3mD59OiNHjqz17kWLFlV/uOYaePZZeOqpeAYpSZIkSdJR7ohedtGxY0eKiopq\nlY8dOzb5eejQoQwdOrTOZ/z617/+0ne8/PLL+ywvKChg8uTJsGiRSy0kSZIkSToIR/TMB0mSJEmS\n1PQZPkiSJEmSpFgd0csuSktLj8l3S5IkSZJ0NDmiw4fhw4c3dhckSZIkSdJBOqLDhx8DVzbSu58D\n7mukd0uSJEmSdDQ5osOHTkBjnTPhogtJkiRJkg6NBm04GUK4JYTwVgjh4xDCKyGE87+k7sAQwu9C\nCO+FELaEEIpCCH0b3mVJkiRJktSU1Dt8CCHkAT8DxgDZwCrgtyGEtDqaXAT8DuhH9USGl4AlIYQe\nDeqxJEmSJElqUhoy8+FOYHIURbOiKFoNjAZ2ADfuq3IURXdGUfSfURStjKLozSiK/g34/4GrGtxr\nSZIkSZLUZNQrfAghHAf0Al7YUxZFUQQ8D/zjAT4jACcBH9Tn3ZIkSZIkqWmq78yHNKAZsHGv8o3A\n6Qf4jLuA1sD8er5bkiRJkiQ1QYf1tIsQwlCqT7C8Ooqiiv3V/xnwxF5lQz77kSRJkiRJh8fcuXOZ\nO3dujbItW7YccPv6hg8VwG7gtL3KTwPe/bKGIYTvAFOAb0dR9NKBvOz7wLB6dlCSJEmSJB1aQ4YM\nYciQmlMBiouL6dWr1wG1r9eyiyiKPgVWApftKftsD4fLgKK62oUQhgBTge9EUfSb+rxTkiRJkiQ1\nbQ1ZdvFfwIwQwkpgGdWnX7QCZgCEEO4HzoiiaMRn10M/u/f/AMtDCHtmTXwcRdHWg+q9JEmSJEk6\n4tU7fIiiaH4IIQ34D6qXW7wGfCuKok2fVTkdyPhCk5up3qRy0mc/e8ykjuM5JUmSJEnS0aNBG05G\nUfQI8Egd927Y6/qShrxDkiRJkiQdHep71KYkSZIkSVK9GD5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJ\nkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRY\nGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5I\nkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJ\nkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRY\nGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5I\nkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJ\nkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRY\nGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5IkiRJkqRYGT5I\n0v9t715jLTvnOI5/f7RaRUuNzkgMKmXcaeoyRWtcqu4iERKNkiJuiZBQ8ariEmnFnSIuVdpKEERq\nqkFEXUbFuBXtVBga6gylaUsvqvN48awZyzb79Fz2OmutPd9Psl/stZ+9z7N+53n2Pvt/1lqPJEmS\npE5ZfJAkSZIkSZ2y+CBJkiRJkjpl8UGSJEmSJHXK4oMkSZIkSeqUxQdJkiRJktQpiw+SJEmSJKlT\nFh8kSZIkSVKnLD5IkiRJkqROWXyQJEmSJEmdsvggSZIkSZI6ZfFBkiRJkiR1yuKDJEmSJEnqlMUH\nSZIkSZLUKYsPkiRJkiSpUxYfJEmSJElSpyw+SJIkSZKkTll8kCRJkiRJnbL4IEmSJEmSOmXxQZIk\nSZIkdcrigyRJkiRJ6pTFB0mSJEmS1CmLD5IkSZIkqVMWHyRJkiRJUqcsPkiSJEmSpE5ZfJAkSZIk\nSZ2y+CBJkiRJkjpl8UGSJEmSJHVqRcWHJK9JsjPJDUl+mOSRt9J+S5LtSW5McnmSF6+su5IkSZIk\naWyWXXxI8gLg3cBpwNHAz4ELk6yb0v7ewPnAt4CHAe8HPpHkhJV1WZIkSZIkjclKjnx4PfCxUspn\nSimXAa8ErgdOmdL+VcDvSimnllJ2lFI+DHyxeR1JkiRJkjTnllV8SHIgcAz1KAYASikF+CZw7JSn\nbW4eb7twkfaSJEmSJGmOHLDM9uuA2wK7JrbvAjZNec6GKe0PTXJQKeWmfTznYIDvL7Nzs7T3Z2/d\nCpde2l9Hdu4E4NJV9GHPc7cCfe2Jec6Wec6Wec7WvOQ5hCzBPGfNPGfLPGfLPGdrEHnOyWc7mOes\nzVueNN/hF5N64MLSJLk78Cfg2FLKxa3tpwPHl1L+72iGJDuAT5VSTm9texr1OhCH7Kv4kOSFwLlL\n7pgkSZIkSerLSaWU8xZrsNwjH64CbgHWT2xfDyxMec7ClPbXTjnqAeppGScBvwduXGYfJUmSJElS\n9w4G7k39Dr+oZRUfSik3J9kOPAn4KkCSNPc/MOVp24CnTWx7SrN92s/5G7Bo1USSJEmSJPXuB0tp\ntJLVLt4DvDzJyUnuD3wUOAT4NECSdyY5u9X+o8B9kpyeZFOSVwPPa15HkiRJkiTNueWedkEp5fNJ\n1gFvpZ4+8TPgxFLKX5smG4CNrfa/T/IM4L3Aa4E/Ai8tpUyugCFJkiRJkubQsi44KUmSJEmStFwr\nOe1CkiRJkiRpyfb74kOS45J8NcmfkuxO8ux9tHlrkiuTXJ/kG0mO6qOvQzOL7JIclOTDSa5Kcl2S\nLyY5Yu32oj9rlV+SuyQ5N8k1Sa5O8okkd+h6/9ZSktOaDNu3X0+0McsphjQWk2xM8rUk/0yykOSM\nJKP6rEry5iQ/SnJtkl1JvpzkfhNtztrHmN060cZMGdb8HmOWY5vfSR6a5KIkNyT5Q5I3zjKP1Rjj\n3B54nqOa20POEiDJzn3kuTvJB5vHP+3YnC5z+F6ZZEuS7UluTHJ5khevLqUZKKXs1zfgqdTrVzyH\nuozosycefxPwd+CZwIOBrwC/BW7Xd9/7vs0iO+Aj1CVVHw8cTb1S6nf73rd5yg+4APgJ8AjgMcDl\nwDl97/+MszwN+AVwN+CI5na4WY5rLFIL4pdQl2p6CHAi8Bfg7X1ntMw8twIvAh7Q7Mf5TTa3b7U5\nC/jaxJg9bOJ1zLQMZ36PNcsxzW/gTsCfgbOb+fN84J/Ay/rOsenfqOb2CPIczdweepZNH+/ayvEI\n6mqEtwDHOTaXlN9cvVdSl778B3AGsAl4DXAzcEKv47TviTKkG7B7HwPtSuD1rfuHAjcAz++7v0O6\nrSS75v5NwHNbbTY1r/WovvdpHvJr3pB2A0e32pwI/BvY0Pd+zzC/04CfLPK4WY5gLFKXZb4ZWNdq\n8wrgauCAvrNZRabrmn1/XGvbWcCXFnmOmf63v4OY33OS5aDnN/Aq4Kp2nsA7gV/3nd17xhOaAAAF\nE0lEQVSUPAc9t4ee55jm9tCznJLf+4DLHZsrym7075XA6cAvJvbhc8DWPrMd9KGCfUtyJHX1jm/t\n2VZKuRa4GDi2r36NwRKzewR1xZV2mx3AFezn+c4wv83A1aWUn7Ze/ptAAR7dVf97ct/mULnfJjkn\nyUYwy9Va4/w2A5eUUq5qtbkQOAx40Ix2qQ93pu7n3ye2b0k9dPuyJGcmObz12DGYadsQ5ve8ZLnX\nAPPbDFxUSvn3RJtNSQ5b4W52aehzewx5jmVujyHLvZIcCJwEfHLiIcfmCox0PG5uXpuJNr1+x7L4\nsLgN1MGwa2L7ruYxTbeU7NYD/2om77Q2+6tZ5beBeqjWXqWUW6h/KM1Txj8EXkKtHr8SOBK4qDmH\nzixXZy3z2zDl58BIM04S6n+fvldKaZ/LfAFwMvBE4FTqIZpbm/ZQ99dMq6HM73nIctLQ8htNxiOZ\n20PPc0xze+hZTnou9cvq2a1tjs2VG+N4nNbm0CQH0ZMD+vrBkjQrpZQLW3d/meRHwB+o58Bd1k+v\nJADOBB4IPLa9sZTy+dbdXyW5hHru6Bbg22vWuxFwfmugnNur5Nzu1CnABaWUhT0bHJv7hdx6k355\n5MPiFqi/xPUT29c3j2m6pWS3ANwuyaGLtNlfzSq/BeoFhfZKclvgcOY441LKNdQL+ByFWa7WWua3\nMOXnwAgzTvIh4OnAllLKnxdrW0rZST1/c8+Vs810ih7n99xlyfDyG0XGI5rbo8hzj4HP7dFkmeSe\nwJOBjy/WzrG5LGMZj2UJba4tpdxETyw+LKKZlAvUq8UC0AyoR1OvXqoplpjdduoFVtptNgH3BLat\nWWcHaIb5bQPunOTo1ss/ifoGenFX/e9bkjtSP0yvNMvVWeP8tgEPSbKu1eYpwDXA/yy/NnTNl5Pn\nAE8opVyxhPb3oF6pfM8XGTOdosf5PXdZDjC/bcDxzR/j7TY7mi+mvRvZ3B58nm0Dn9tjyvIU6uH1\nWxdr5NhcupGOx23tvrTa9Psdq68rXQ7lBtwBeBjwcOrVR1/X3N/YPH4q8DfgWdTlTr4C/AaX2pxJ\ndtTDFndSD/k6Bvg++89Sm2uSH/XD58fAI6mHh+4APtv3/s84y3cBxwP3oi5b9A3qB+9dzXI8Y5Fa\nEP859bzUh1LPA94FvK3vjJaZ55nUq1IfR/0vw57bwa28z6D+0XIv6h8HPwYuBQ400//LcxDze6xZ\njml+U68WfyX1PPUHAi+gLhX30r5zbOUwmrk9gjxHM7eHnmWrn6Eu9fiOie2OzVvPbq7eK6lLbV5H\nXfViE/Bq4F/Ak3sdo31Pkr5v1Iut7Kau59q+farV5i3NL/h66lVCj+q730O4zSI74CDgg9TDvq4D\nvgAc0fe+zVN+1Ktxn0OtmF5NPQzvkL73f8ZZfg74I3XJoyuA84AjJ9qY5QjGIrAROJ/6IbqL+qF5\nm74zWmae+8ryFuDk5vGDga9T/4tyI/A76trgdzPTfeY5mPk9xizHNr+BBwPfafpyBfCGvjNs9W10\nc3vgeY5qbg85y1YfT2jG5GROjs1bz27u3iupxb3tzRz7DfCivsdomo5JkiRJkiR1wms+SJIkSZKk\nTll8kCRJkiRJnbL4IEmSJEmSOmXxQZIkSZIkdcrigyRJkiRJ6pTFB0mSJEmS1CmLD5IkSZIkqVMW\nHyRJkiRJUqcsPkiSJEmSpE5ZfJAkSZIkSZ2y+CBJkiRJkjpl8UGSJEmSJHXqP5LjPN4IdkYjAAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f322a8900b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "french_cov = coverage_from_dict(french_counter, french_counter2)\n",
    "french_cov_rev = coverage_from_dict(french_counter2, french_counter)\n",
    "show_plot2(french_cov,french_cov_rev, '#ff0000','#00ffff', 'French dictionary coverage on corpus','French coverage','French coverage reverse' )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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NdeTLBGZdpq7+6cjXq4DvnTzryJHnMUd8F4GjWCuOVMqlvImOOPbkcc7WWA/Ip7B6n/wM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\nhg+SJEmSJCmtDB8kSZIkSVJaeeeDpG6XSCRIJpPdNn9dXV23zS1JkiQ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GIpFoET68286d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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f335c401b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "czech_cov = coverage_from_dict(czech_counter,czech_counter2)\n",
    "czech_cov_rev = coverage_from_dict(czech_counter2, czech_counter)\n",
    "show_plot2(czech_cov,czech_cov_rev ,'#00ff00','#ff00ff', 'Czech dictionary coverage on corpus','Czech coverage', 'Czech coverage reverse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+tdVHgaIoiqIoOZocbXxQFEVRsjc//fQToaGhxMTEUKxYMRYsWOB1x9qbb75J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\n9cg8inBI0csxlZTwB+znD/Dk4YdyjmwOB97v1+u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kgKqqJqw/Pm39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\nJEmS1CgHHyRJkiRJUqP+BTetBxOTHflWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f32711b9d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "english_cov = coverage_from_dict(english_counter, english_counter2)\n",
    "english_cov_rev = coverage_from_dict(english_counter2, english_counter)\n",
    "\n",
    "show_plot2(english_cov,english_cov_rev, '#0000ff','#ffff00' ,'English dictionary coverage on corpus','English coverage', 'English coverage reverse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QIvdxd3cnNjb3/wAQQohHiXWCxJCQkHsmSCxZsmS6BIl16tTB09OT/fv3ExgY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\n8cVHf7/36NGj+fvf/84VV1zBwIEDycrK4tNPP2X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Fr169IhmrJEmSJEkqb+rUqUydOrVM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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f32753f8eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deutch_cov = coverage_from_dict(deutch_counter, deutch_counter2)\n",
    "deutch_cov_rev = coverage_from_dict(deutch_counter2, deutch_counter)\n",
    "show_plot2(deutch_cov,deutch_cov_rev ,'#ff6000','#009fff', 'Deutch dictionary coverage on corpus','Deutch coverage', 'Deutch coverage reverse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hhBC3hVOnTpGSksI333wDQN++fRk+fDiHDx+2Wkdg165dtG/fHjc3NwB69epF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\nq/8PtNyM7TWW1UUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f32710959b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hun_cov = coverage_from_dict(hun_counter, hun_counter2)\n",
    "hun_cov_rev = coverage_from_dict(hun_counter2, hun_counter)\n",
    "show_plot2(hun_cov,hun_cov_rev ,'#438d80','#8c4351', 'Hungarian dictionary coverage on corpus','Hungarian coverage', 'Hungarian coverage reverse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kWbZsGSkpKaxZs4batWuTmJjIY489xssvv0y1atUYN24cl112GQCjRo3i4Ycf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\nAAAAqJXwAQAAAKiV8AEAAACo1f8Byeq2ATy3PSwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f3270f9e160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_plot2(english_cov, deutch_cov, '#ff0000', '#0000ff','German language family comparison', \"English\", \"Deutch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "res = hun_counter - hun_counter2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "312847"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(hun_counter.keys())"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}