A Walk Through PyStyl.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A Walk through PyStyl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Experiments in stylometry typically kick off with creating a corpus, or the collection of texts which we would like to compare. In pystyl, we use the Corpus class to represent such a text collection: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%load_ext autoreload \n",
    "%autoreload 1\n",
    "%matplotlib inline\n",
    "from pystyl.corpus import Corpus\n",
    "corpus = Corpus(language='en')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specifying a language such as `'en'` (English) is optional. Adding texts from a directory to the corpus is easy: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "corpus.add_directory(directory='data/dummy')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By default, this function assumes that all texts under this directory have been encoded in UTF-8 and that they have a `.txt` extension. Additionally, the syntax of the filename should be `<category>_<title>.txt`, where category is a label indicates e.g. a text's authorship, genre or date of composition. In our case, this directory looked like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Anne_Grey.txt            Charlotte_Professor.txt  Emily_Wuthering.txt\r\n",
      "Anne_Tenant.txt          Charlotte_Shirley.txt\r\n",
      "Charlotte_Eyre.txt       Charlotte_Villette.txt\r\n"
     ]
    }
   ],
   "source": [
    "ls data/dummy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our corpus currently holds these 7 texts in their raw form:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Corpus(14 texts)> \n",
      "Untokenized texts:\n",
      "\n",
      "\t- Grey\t(cat: Anne):\tu'\\ufeffCHAPTER I\\u2014THE PARSONAGE\\n<BOUN'[...]\n",
      "\t- Tenant\t(cat: Anne):\tu'\\ufeffCHAPTER I\\n<BOUNDARY>\\nYou must'[...]\n",
      "\t- Eyre\t(cat: Charlotte):\tu'CHAPTER I\\n<BOUNDARY>\\nThere was'[...]\n",
      "\t- Professor\t(cat: Charlotte):\tu'CHAPTER I. INTRODUCTORY.\\n<BOUN'[...]\n",
      "\t- Shirley\t(cat: Charlotte):\tu'\\ufeffCHAPTER I.\\n<BOUNDARY>\\nLEVITIC'[...]\n",
      "\t- Villette\t(cat: Charlotte):\tu'CHAPTER I.\\n<BOUNDARY>\\nBRETTON.'[...]\n",
      "\t- Wuthering\t(cat: Emily):\tu'<BOUNDARY>\\nCHAPTER I\\n<BOUNDARY'[...]\n",
      "\t- Grey\t(cat: Anne):\tu'\\ufeffCHAPTER I\\u2014THE PARSONAGE\\n<BOUN'[...]\n",
      "\t- Tenant\t(cat: Anne):\tu'\\ufeffCHAPTER I\\n<BOUNDARY>\\nYou must'[...]\n",
      "\t- Eyre\t(cat: Charlotte):\tu'CHAPTER I\\n<BOUNDARY>\\nThere was'[...]\n",
      "\t- Professor\t(cat: Charlotte):\tu'CHAPTER I. INTRODUCTORY.\\n<BOUN'[...]\n",
      "\t- Shirley\t(cat: Charlotte):\tu'\\ufeffCHAPTER I.\\n<BOUNDARY>\\nLEVITIC'[...]\n",
      "\t- Villette\t(cat: Charlotte):\tu'CHAPTER I.\\n<BOUNDARY>\\nBRETTON.'[...]\n",
      "\t- Wuthering\t(cat: Emily):\tu'<BOUNDARY>\\nCHAPTER I\\n<BOUNDARY'[...]\n"
     ]
    }
   ],
   "source": [
    "print(corpus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In stylometry, it typical to preprocess your corpus and remove, let's say, punctuation and lowercase texts. In pystyl, we achieve this via the `preprocess()` method, where the `alpha_only` parameter controls whether we only wish to keep alphabetic symbols:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Corpus(7 texts)> \n",
      "Untokenized texts:\n",
      "\n",
      "\t- Grey\t(cat: Anne):\tu'chapter ithe parsonage\\nboundar'[...]\n",
      "\t- Tenant\t(cat: Anne):\tu'chapter i\\nboundary\\nyou must go'[...]\n",
      "\t- Eyre\t(cat: Charlotte):\tu'chapter i\\nboundary\\nthere was n'[...]\n",
      "\t- Professor\t(cat: Charlotte):\tu'chapter i introductory\\nboundar'[...]\n",
      "\t- Shirley\t(cat: Charlotte):\tu'chapter i\\nboundary\\nlevitical\\nb'[...]\n",
      "\t- Villette\t(cat: Charlotte):\tu'chapter i\\nboundary\\nbretton\\nbou'[...]\n",
      "\t- Wuthering\t(cat: Emily):\tu'boundary\\nchapter i\\nboundary\\ni '[...]\n"
     ]
    }
   ],
   "source": [
    "corpus.preprocess(alpha_only=True, lowercase=True)\n",
    "print(corpus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, the corpus is ready to be tokenized, which is helpful if we want to start counting words:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Corpus(7 texts)> \n",
      "Tokenized texts:\n",
      "\t- Grey\t(cat: Anne):\tu'chapter ithe parsonage boundary all true histories contain instruction though'[...]\n",
      "\t- Tenant\t(cat: Anne):\tu'chapter i boundary you must go back with me to'[...]\n",
      "\t- Eyre\t(cat: Charlotte):\tu'chapter i boundary there was no possibility of taking a'[...]\n",
      "\t- Professor\t(cat: Charlotte):\tu'chapter i introductory boundary the other day in looking over'[...]\n",
      "\t- Shirley\t(cat: Charlotte):\tu'chapter i boundary levitical boundary of late years an abundant'[...]\n",
      "\t- Villette\t(cat: Charlotte):\tu'chapter i boundary bretton boundary my godmother lived in a'[...]\n",
      "\t- Wuthering\t(cat: Emily):\tu'boundary chapter i boundary i have just returned from a'[...]\n"
     ]
    }
   ],
   "source": [
    "corpus.tokenize()\n",
    "print(corpus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The corpus now holds our texts in a tokenized form. Of course, the novels wildly vary in length. If we would like to split these into shorter segments of e.g. 10,000 words, we can use the `segment()` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Corpus(48 texts)> \n",
      "Tokenized texts:\n",
      "\t- Grey_1\t(cat: Anne):\tu'chapter ithe parsonage boundary all true histories contain instruction though'[...]\n",
      "\t- Grey_2\t(cat: Anne):\tu'or neglected to perform her promise and doubting whether to'[...]\n",
      "\t- Grey_3\t(cat: Anne):\tu'was so terribly afraid of papa seeing him boundary has'[...]\n",
      "\t- Tenant_1\t(cat: Anne):\tu'chapter i boundary you must go back with me to'[...]\n",
      "\t- Tenant_2\t(cat: Anne):\tu'and i grew weary of amusing her i felt myself'[...]\n",
      "\t- Tenant_3\t(cat: Anne):\tu'and i returned to my business boundary but i soon'[...]\n",
      "\t- Tenant_4\t(cat: Anne):\tu'lover and ill leave all the sir herberts and valentines'[...]\n",
      "\t- Tenant_5\t(cat: Anne):\tu'shall see come i am in hells torments till you'[...]\n",
      "\t- Tenant_6\t(cat: Anne):\tu'inextricably entangled in the snare of my antagonist boundary check'[...]\n",
      "\t- Tenant_7\t(cat: Anne):\tu'the subject ask mr hargrave boundary at this they simultaneously'[...]\n",
      "\t- Tenant_8\t(cat: Anne):\tu'fingers so marvellously like her own considering he was not'[...]\n",
      "\t- Eyre_1\t(cat: Charlotte):\tu'chapter i boundary there was no possibility of taking a'[...]\n",
      "\t- Eyre_2\t(cat: Charlotte):\tu'had seen miss scatcherd flog her pupil burns i wandered'[...]\n",
      "\t- Eyre_3\t(cat: Charlotte):\tu'left it till within six months ago when she first'[...]\n",
      "\t- Eyre_4\t(cat: Charlotte):\tu'bolt and opened the door with a trembling hand there'[...]\n",
      "\t- Eyre_5\t(cat: Charlotte):\tu'will you stir one step to meet it where it'[...]\n",
      "\t- Eyre_6\t(cat: Charlotte):\tu'my facewhich i feel rebel insolently against my will and'[...]\n",
      "\t- Eyre_7\t(cat: Charlotte):\tu'to be entrapped into a feigned union with a defrauded'[...]\n",
      "\t- Eyre_8\t(cat: Charlotte):\tu'her compassionate gaze with a smile i saidi will trust'[...]\n",
      "\t- Eyre_9\t(cat: Charlotte):\tu'starsevery one lit me to a purpose or delight those'[...]\n",
      "\t- Professor_1\t(cat: Charlotte):\tu'chapter i introductory boundary the other day in looking over'[...]\n",
      "\t- Professor_2\t(cat: Charlotte):\tu'admission into their houses just here however this observation is'[...]\n",
      "\t- Professor_3\t(cat: Charlotte):\tu'as i made the transit of the carre i observed'[...]\n",
      "\t- Professor_4\t(cat: Charlotte):\tu'me as the treacherous spawn of a perfidious country he'[...]\n",
      "\t- Shirley_1\t(cat: Charlotte):\tu'chapter i boundary levitical boundary of late years an abundant'[...]\n",
      "\t- Shirley_2\t(cat: Charlotte):\tu'record of their deeds boundary instead then of harrowing up'[...]\n",
      "\t- Shirley_3\t(cat: Charlotte):\tu'let us return thanks said he which he did forthwith'[...]\n",
      "\t- Shirley_4\t(cat: Charlotte):\tu'to the happiness and welfare of all if each knew'[...]\n",
      "\t- Shirley_5\t(cat: Charlotte):\tu'voice boundary but there are worse things than fairies to'[...]\n",
      "\t- Shirley_6\t(cat: Charlotte):\tu'in firstrate company order and setting out a collation of'[...]\n",
      "\t- Shirley_7\t(cat: Charlotte):\tu'i dare say he thinks he has outwitted me cleverly'[...]\n",
      "\t- Shirley_8\t(cat: Charlotte):\tu'in the garden her eyes longed to see something more'[...]\n",
      "\t- Shirley_9\t(cat: Charlotte):\tu'abode than any briarfield or whinbury owned and what is'[...]\n",
      "\t- Shirley_10\t(cat: Charlotte):\tu'up crimson when she has offered me her hand and'[...]\n",
      "\t- Villette_1\t(cat: Charlotte):\tu'chapter i boundary bretton boundary my godmother lived in a'[...]\n",
      "\t- Villette_2\t(cat: Charlotte):\tu'beclouded sky overhanging all in my reverie methought i saw'[...]\n",
      "\t- Villette_3\t(cat: Charlotte):\tu'than feel the freshness of dew descending the turf was'[...]\n",
      "\t- Villette_4\t(cat: Charlotte):\tu'i say you immensely exaggerate both its quality and quantitywas'[...]\n",
      "\t- Villette_5\t(cat: Charlotte):\tu'what does he think of her boundary cela ne vaut'[...]\n",
      "\t- Villette_6\t(cat: Charlotte):\tu'own lot all that was painful in the destiny of'[...]\n",
      "\t- Villette_7\t(cat: Charlotte):\tu'habitually consumed for her first and second breakfasts beer and'[...]\n",
      "\t- Villette_8\t(cat: Charlotte):\tu'bringing home to him his worst apprehensions astoundingly realized i'[...]\n",
      "\t- Villette_9\t(cat: Charlotte):\tu'less her sleeping fantasies boundary if i dreamt it i'[...]\n",
      "\t- Wuthering_1\t(cat: Emily):\tu'boundary chapter i boundary i have just returned from a'[...]\n",
      "\t- Wuthering_2\t(cat: Emily):\tu'one garret along the roof into the skylight of the'[...]\n",
      "\t- Wuthering_3\t(cat: Emily):\tu'two gardeners youll surely not wait to be thrust into'[...]\n",
      "\t- Wuthering_4\t(cat: Emily):\tu'away ive recovered from my first desire to be killed'[...]\n",
      "\t- Wuthering_5\t(cat: Emily):\tu'running or bounding now though the chill wind might well'[...]\n"
     ]
    }
   ],
   "source": [
    "corpus.segment(segment_size=20000)\n",
    "print(corpus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "In stylometry, it is common to manually remove certain words, such as personal pronouns, which are more strongly tied to narrative perspective than authorial writing style. To remove these from our English texts, we can do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<Corpus(48 texts)> \n",
      "Tokenized texts:\n",
      "\t- Grey_1\t(cat: Anne):\tu'chapter ithe parsonage boundary all true histories contain instruction though'[...]\n",
      "\t- Grey_2\t(cat: Anne):\tu'or neglected to perform promise and doubting whether to keep'[...]\n",
      "\t- Grey_3\t(cat: Anne):\tu'was so terribly afraid of papa seeing boundary has been'[...]\n",
      "\t- Tenant_1\t(cat: Anne):\tu'chapter boundary must go back with to the autumn of'[...]\n",
      "\t- Tenant_2\t(cat: Anne):\tu'and grew weary of amusing felt drawn by an irresistible'[...]\n",
      "\t- Tenant_3\t(cat: Anne):\tu'and returned to business boundary but soon began to regret'[...]\n",
      "\t- Tenant_4\t(cat: Anne):\tu'lover and ill leave all the sir herberts and valentines'[...]\n",
      "\t- Tenant_5\t(cat: Anne):\tu'shall see come am in hells torments till speak the'[...]\n",
      "\t- Tenant_6\t(cat: Anne):\tu'inextricably entangled in the snare of antagonist boundary check cried'[...]\n",
      "\t- Tenant_7\t(cat: Anne):\tu'the subject ask mr hargrave boundary at this simultaneously burst'[...]\n",
      "\t- Tenant_8\t(cat: Anne):\tu'fingers so marvellously like own considering was not a woman'[...]\n",
      "\t- Eyre_1\t(cat: Charlotte):\tu'chapter boundary there was no possibility of taking a walk'[...]\n",
      "\t- Eyre_2\t(cat: Charlotte):\tu'had seen miss scatcherd flog pupil burns wandered as usual'[...]\n",
      "\t- Eyre_3\t(cat: Charlotte):\tu'left it till within six months ago when first came'[...]\n",
      "\t- Eyre_4\t(cat: Charlotte):\tu'bolt and opened the door with a trembling hand there'[...]\n",
      "\t- Eyre_5\t(cat: Charlotte):\tu'will stir one step to meet it where it waits'[...]\n",
      "\t- Eyre_6\t(cat: Charlotte):\tu'facewhich feel rebel insolently against will and struggle to express'[...]\n",
      "\t- Eyre_7\t(cat: Charlotte):\tu'to be entrapped into a feigned union with a defrauded'[...]\n",
      "\t- Eyre_8\t(cat: Charlotte):\tu'compassionate gaze with a smile saidi will trust if were'[...]\n",
      "\t- Eyre_9\t(cat: Charlotte):\tu'starsevery one lit to a purpose or delight those who'[...]\n",
      "\t- Professor_1\t(cat: Charlotte):\tu'chapter introductory boundary the other day in looking over papers'[...]\n",
      "\t- Professor_2\t(cat: Charlotte):\tu'admission into houses just here however this observation is not'[...]\n",
      "\t- Professor_3\t(cat: Charlotte):\tu'as made the transit of the carre observed as usual'[...]\n",
      "\t- Professor_4\t(cat: Charlotte):\tu'as the treacherous spawn of a perfidious country in the'[...]\n",
      "\t- Shirley_1\t(cat: Charlotte):\tu'chapter boundary levitical boundary of late years an abundant shower'[...]\n",
      "\t- Shirley_2\t(cat: Charlotte):\tu'record of deeds boundary instead then of harrowing up readers'[...]\n",
      "\t- Shirley_3\t(cat: Charlotte):\tu'let return thanks said which did forthwith and all quitted'[...]\n",
      "\t- Shirley_4\t(cat: Charlotte):\tu'to the happiness and welfare of all if each knew'[...]\n",
      "\t- Shirley_5\t(cat: Charlotte):\tu'voice boundary but there are worse things than fairies to'[...]\n",
      "\t- Shirley_6\t(cat: Charlotte):\tu'in firstrate company order and setting out a collation of'[...]\n",
      "\t- Shirley_7\t(cat: Charlotte):\tu'dare say thinks has outwitted cleverly and this is the'[...]\n",
      "\t- Shirley_8\t(cat: Charlotte):\tu'in the garden eyes longed to see something more than'[...]\n",
      "\t- Shirley_9\t(cat: Charlotte):\tu'abode than any briarfield or whinbury owned and what is'[...]\n",
      "\t- Shirley_10\t(cat: Charlotte):\tu'up crimson when has offered hand and said how do'[...]\n",
      "\t- Villette_1\t(cat: Charlotte):\tu'chapter boundary bretton boundary godmother lived in a handsome house'[...]\n",
      "\t- Villette_2\t(cat: Charlotte):\tu'beclouded sky overhanging all in reverie methought saw the continent'[...]\n",
      "\t- Villette_3\t(cat: Charlotte):\tu'than feel the freshness of dew descending the turf was'[...]\n",
      "\t- Villette_4\t(cat: Charlotte):\tu'say immensely exaggerate both its quality and quantitywas quite abstract'[...]\n",
      "\t- Villette_5\t(cat: Charlotte):\tu'what does think of boundary cela ne vaut rien responded'[...]\n",
      "\t- Villette_6\t(cat: Charlotte):\tu'own lot all that was painful in the destiny of'[...]\n",
      "\t- Villette_7\t(cat: Charlotte):\tu'habitually consumed for first and second breakfasts beer and beef'[...]\n",
      "\t- Villette_8\t(cat: Charlotte):\tu'bringing home to worst apprehensions astoundingly realized could have exulted'[...]\n",
      "\t- Villette_9\t(cat: Charlotte):\tu'less sleeping fantasies boundary if dreamt it saw in dream'[...]\n",
      "\t- Wuthering_1\t(cat: Emily):\tu'boundary chapter boundary have just returned from a visit to'[...]\n",
      "\t- Wuthering_2\t(cat: Emily):\tu'one garret along the roof into the skylight of the'[...]\n",
      "\t- Wuthering_3\t(cat: Emily):\tu'two gardeners youll surely not wait to be thrust into'[...]\n",
      "\t- Wuthering_4\t(cat: Emily):\tu'away ive recovered from first desire to be killed by'[...]\n",
      "\t- Wuthering_5\t(cat: Emily):\tu'running or bounding now though the chill wind might well'[...]\n"
     ]
    }
   ],
   "source": [
    "corpus.remove_tokens(rm_pronouns=True)\n",
    "print(corpus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, all personal pronouns have now been removed from our corpus segments. We are now ready to `vectorize` our corpus, which means that we will represent it as as a large two-dimensional matrix in which each row represents one of our textual segments, and each individual feature (e.g. a function word frequency) is represented in a column.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'a',\n",
       " u'about',\n",
       " u'after',\n",
       " u'again',\n",
       " u'all',\n",
       " u'am',\n",
       " u'an',\n",
       " u'and',\n",
       " u'any',\n",
       " u'are',\n",
       " u'as',\n",
       " u'at',\n",
       " u'be',\n",
       " u'been',\n",
       " u'before',\n",
       " u'boundary',\n",
       " u'but',\n",
       " u'by',\n",
       " u'can',\n",
       " u'come',\n",
       " u'could',\n",
       " u'day',\n",
       " u'did',\n",
       " u'do',\n",
       " u'dont',\n",
       " u'down',\n",
       " u'for',\n",
       " u'from',\n",
       " u'go',\n",
       " u'good',\n",
       " u'had',\n",
       " u'hand',\n",
       " u'has',\n",
       " u'have',\n",
       " u'how',\n",
       " u'if',\n",
       " u'in',\n",
       " u'into',\n",
       " u'is',\n",
       " u'it',\n",
       " u'its',\n",
       " u'know',\n",
       " u'like',\n",
       " u'little',\n",
       " u'long',\n",
       " u'made',\n",
       " u'might',\n",
       " u'miss',\n",
       " u'more',\n",
       " u'mr',\n",
       " u'mrs',\n",
       " u'much',\n",
       " u'must',\n",
       " u'never',\n",
       " u'no',\n",
       " u'not',\n",
       " u'now',\n",
       " u'of',\n",
       " u'on',\n",
       " u'one',\n",
       " u'only',\n",
       " u'or',\n",
       " u'other',\n",
       " u'out',\n",
       " u'over',\n",
       " u'own',\n",
       " u'said',\n",
       " u'say',\n",
       " u'see',\n",
       " u'seemed',\n",
       " u'shall',\n",
       " u'should',\n",
       " u'so',\n",
       " u'some',\n",
       " u'still',\n",
       " u'such',\n",
       " u'than',\n",
       " u'that',\n",
       " u'the',\n",
       " u'then',\n",
       " u'there',\n",
       " u'think',\n",
       " u'this',\n",
       " u'thought',\n",
       " u'time',\n",
       " u'to',\n",
       " u'too',\n",
       " u'up',\n",
       " u'very',\n",
       " u'was',\n",
       " u'well',\n",
       " u'were',\n",
       " u'what',\n",
       " u'when',\n",
       " u'which',\n",
       " u'who',\n",
       " u'will',\n",
       " u'with',\n",
       " u'would',\n",
       " u'yet']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus.vectorize(mfi=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see, we have now included the 30 most common words in our corpus model (`mfi` stands for 'most frequent items'). These features are returned by the `vectorize()` method. Many other options are available; to extract the 50 most common character trigrams, for instance, you could run:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u' an',\n",
       " u' bo',\n",
       " u' in',\n",
       " u' of',\n",
       " u' th',\n",
       " u' to',\n",
       " u'and',\n",
       " u'as ',\n",
       " u'ed ',\n",
       " u'er ',\n",
       " u'he ',\n",
       " u'ing',\n",
       " u'nd ',\n",
       " u'ng ',\n",
       " u'of ',\n",
       " u'oun',\n",
       " u'ry ',\n",
       " u'the',\n",
       " u'to ',\n",
       " u'und']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus.vectorize(mfi=20, ngram_type='char', ngram_size=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A more fundamental issue is the vectorization model we select. By default, the vectorizer will create a simple term-frequency model, which means that we will record the relative frequencies of our most frequent items in each text. In stylometry, however, there exist many more models. PyStyl also supports the `tf-idf` model (term frequency-inverse document frequency), which is commonly used in information retrieval to assign more weight to lower-frequency items. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'a',\n",
       " u'all',\n",
       " u'and',\n",
       " u'as',\n",
       " u'at',\n",
       " u'be',\n",
       " u'boundary',\n",
       " u'but',\n",
       " u'by',\n",
       " u'for',\n",
       " u'from',\n",
       " u'had',\n",
       " u'have',\n",
       " u'in',\n",
       " u'is',\n",
       " u'it',\n",
       " u'no',\n",
       " u'not',\n",
       " u'of',\n",
       " u'on',\n",
       " u'or',\n",
       " u'so',\n",
       " u'that',\n",
       " u'the',\n",
       " u'this',\n",
       " u'to',\n",
       " u'was',\n",
       " u'were',\n",
       " u'with',\n",
       " u'would']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus.vectorize(mfi=30, vector_space='tf_idf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PyStyl also supports the `std` model which underpins Burrows's famous Delta method (and which is typically also a solid model for other applications): "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'a',\n",
       " u'all',\n",
       " u'and',\n",
       " u'as',\n",
       " u'at',\n",
       " u'be',\n",
       " u'boundary',\n",
       " u'but',\n",
       " u'by',\n",
       " u'for',\n",
       " u'from',\n",
       " u'had',\n",
       " u'have',\n",
       " u'in',\n",
       " u'is',\n",
       " u'it',\n",
       " u'no',\n",
       " u'not',\n",
       " u'of',\n",
       " u'on',\n",
       " u'or',\n",
       " u'so',\n",
       " u'that',\n",
       " u'the',\n",
       " u'this',\n",
       " u'to',\n",
       " u'was',\n",
       " u'were',\n",
       " u'with',\n",
       " u'would']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus.vectorize(mfi=30, vector_space='tf_std')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vectorization is a foundational issue in stylometry, since it very much controls how our analyses 'see' texts. Luckily, the vectorize() method comes with many options to control this process. With the following options, we can for install control the proportion of segments to control in how many segments a feature should minimally occur (a procedure also known as 'culling'): "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'a',\n",
       " u'all',\n",
       " u'and',\n",
       " u'as',\n",
       " u'at',\n",
       " u'be',\n",
       " u'boundary',\n",
       " u'but',\n",
       " u'by',\n",
       " u'for',\n",
       " u'from',\n",
       " u'had',\n",
       " u'have',\n",
       " u'in',\n",
       " u'is',\n",
       " u'it',\n",
       " u'no',\n",
       " u'not',\n",
       " u'of',\n",
       " u'on',\n",
       " u'or',\n",
       " u'so',\n",
       " u'that',\n",
       " u'the',\n",
       " u'this',\n",
       " u'to',\n",
       " u'was',\n",
       " u'were',\n",
       " u'with',\n",
       " u'would']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corpus.vectorize(mfi=30, min_df=0.80)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pystyl.analysis import distance_matrix, hierarchical_clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pystyl.visualization import scatterplot, scatterplot_3d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pystyl.analysis import pca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pca_coor, pca_loadings = pca(corpus, nb_dimensions=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116b1a390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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lOyj5sIwb9y5k471bSVmYRGutA0tRM5c9PKLL87RU2mjcbyZxZgKN+WZcFhdx42JOaSwN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\nVUjhvjOA7RYJY4mxyVsirBYrOZtzm+xM4oyStDK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H72fz5sSrdjxX3RWUp1s7dRPlv1Zg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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116b1a950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatterplot(corpus, coor=pca_coor, nb_clusters=0, loadings=pca_loadings, plot_type='static',\\\n",
    "           save=False, show=False, return_svg=False, outputfile=\"/Users/mike/Desktop/pca.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pca_coor, pca_loadings = pca(corpus, nb_dimensions=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11700d550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AnDlz5P00bdqUd999lwkTJjBnzhwGDhxI586defnll2VrJpgrr7yS9evX06dP\nH1555RVuvvnmqNaukXiENWoymeQezyI2ajab5d7DgFzqImKiNputTBJaIlpF1hSqo6uQkuLi4lon\nmHXCwhQ365oomEJslBNEIi3crymdenw+HwUFBVVWS7ljxw5+/PFHfvrpJ9lld/bsWQB69OgBQLNm\nzXA6nWRmZrJp0ya+++470tLS5Mn1AJ07d0aSJJo3b87GjRvLWCTCQg4uwn/88ce59957mThxIjt3\n7uSWW25h3bp1MZ2HRuURLjYazhIVE4kqq/lCdbh+q+tYdrs97gEVNY06IZgC8eWpSYLpdrux2+1R\ni42S6nDJilpKQH46r6payvbt29O4cWPuvPNOXC4Xb731FpmZmUD5m8P8+fPJyMjglVdeYffu3cyd\nO7eMuzg9PR2j0YjBYCA5OVlODDMajapF+MINa7fbSU1NlbOva3KiyflMogVG2XxBeQzR6ctgMJRx\n8ao1X1BrQl4TiTe3Id5jVbW7uyqoU4JZUyxMpdiIdlKxCGV1uGTVWvBJkkR6enrMc0Gj3eb222/n\nnnvuYezYsZSUlDB58mTVfUmSxJAhQ7j11lvZsGEDTZs2pXv37rI1KkoYlP/17t2bv/zlLyxdupR6\n9eoBZYvwn3jiCR588EHmzZuH1+vlhRdekGdOBsfHavLNVON3lDd24dWJtHeq2D7SWaO1NbmoKsW5\nOpECtcVhHwZlTVdhYSFms5nk5OSY9+dwOHA4HKSkpESV9CFqQpV9a/V6PampqTEV3DqdTux2O8nJ\nyZjN5qi3DwQC5OfnYzAYSEtLq/D1ai343G53xNsH43K5sNlsMQ2B9vv9FBQUYDQaQ44QCi5pEY0q\nAoEARUVF8udAlOsA8oNAUlJS2GuivJkqXXzBCNeeuKFC6XUzGAxYLBZyc3N56qmnOH78uPw+PPvs\ns3To0CGq90OJ1+vF6XRiMpnkz+err77KokWLABgxYgRTpkyJef/we7xdnEdlIUqnKroe8WK32/H7\n/SHLiQTBIiquvRpqs0bdbjcejyfu0rZIKCkpkZPuKpNAIIDNZit3rFGjRvHDDz9U6rGrGs3CjGM/\nkaImlEqxifVGkKg6yoreD7UBzqKW8ty5c9WedBRMcElLcCek4BIEtTXdcsstFBQUlPlbeno6H3zw\ngfy6UFM+1Eoego/p8/nIz8/nxhtv5N///jd9+vRBkiQ2bdrEww8/zBdffBHz+Qdfj9zcXD7++GPW\nrFmDJEkaWbwuAAAgAElEQVSMGDGCK6+8ks6dO8d9jMq2Kmra87zyuguCrdFws0YFHo+HQCCg2hEp\nEVTH+6b8LIgwRW2jTghmcNJPVdRQir+rjdoST+RutzthiUPx7kMNtQHOog40ku0jJd5+sMr9iKkn\nEL6kpaLjzp8/PyYXc3CiidrNVGRifvnll/Tv35/OnTvLT+idO3fms88+46677qKgoID8/HwWLlzI\nrFmzWL9+PT6fj/vuu48hQ4YwcOBAtmzZgiRJPPXUU/Ts2ZNrr7223HvUvHlzFi9eLP/s8Xgq1Sqs\nDGqyMIdLMArlhfB6vbKnJrjcJZGx0eoqKSkuLq51w6OhjghmMJUdwxS1gsp09eC+tYkcIZXoxgMV\nNUxI9PHjQQiSGNEWTZZxVRB8MxWuTL1ez8mTJ2nTpg0GgwG/38+f//xniouLOXnyJE2bNmX48OHc\ncccdrFmzhtzcXL744gvcbjcjRoxgyJAhXHrppaxYsYKhQ4eycuVKnnrqKdU1GAwGMjMzCQQCPPHE\nE/To0YM2bdpU5dtwXpDoz4qaF0I8PJtMJtUHKSXRNl9QUt2x0qKiopjCNDWdOiWY4uZVmYIZHOcz\nGo0kJSWVi1ckujQlnn2I7UV5izKJpaIBzvF8IROxfr/fT2FhofwAEknyVHWLqFhD8+bN+fXXX2Vr\nb+HChfj9foYPH07Tpk3Jzs4mEAiwY8cOtm7dypgxY4BSz8TevXu56aabmDNnDj6fj8GDB2MwGMjN\nzeWJJ56QY6JJSUk8++yztGzZksmTJ5Oens7MmTMTcg5nz57l6quvZsOGDVoDhygJfvg8n5ovBBOq\nj2xtq8GEOiKYygtZWYIZLs4Xjspyp0azD9GdJ1YLrTosTPFAohz6bbVaz6u4yejRo3nppZf45Zdf\n6N27N5IkcfDgQU6cOCEX3ScnJ9OlSxcGDBjAiy++iNvtZtasWWRlZZGUlMSBAweYN28eU6ZM4cyZ\nM9x4443MnDmT7t27YzKZ2L59Ow899BAmk4nBgwfLTR7iZdWqVUydOpUzZ84kZH+hqKrPlognVhfh\nYqPBIhrOGhWJRlqXn8qhTggm/C6UQiDi3Rf87npVCqVanK+ifSRiHbEgnmqhNEsQIrPQgtcQ6/sZ\ny5c5OPMVSpNxYsk4VH7Rq0P0k5OT+eijj5g6dSp5eXl4vV70ej0zZszg66+/li2H0aNHs3btWq6+\n+mpsNhtXXnklDRo0wOfzMX78eJYuXUr79u1ZvHgx/fv3p3v37kCpJdqxY0cmTZrE7bffzpYtW3jx\nxRfp3LkzLVq04NChQ1HFRJXo9XoWLlzIyJEjq+S9qglegUQQjZCFi42qWaLBs0ah9MFSaZVWlTUa\nzaSS84k6I5gCpcjE+sFRJk9E0lw83H4ScaOOdh/KZCSxbawWWlUl/ahlvgqBSWR6fqIyqSMlKyuL\nt99+u9zvr7766jI/P/fcc+VeI+pIb7vtNpKSksjLyyM7O1t+byZOnCjHRPv168fw4cO5/fbbWb16\nNZ988glLly7F4/FwxRVXMHjw4IhjogCDBw+WXfcaVUuo5gtq5S4iQ19JopsvhHLJajHMWkC8giky\nR6H0Jl5RQkxFa6lqCzM4xirWkJSUFPeXJpbzj2S/wXFV8WASXPaRyOOeD9x9993k5eWxcOFCAA4c\nOMCqVav4/PPP5WG6er0es9lMs2bNaNeuHXq9nt27d7Nt2zZZlD0eDzk5Odx4443MnTsXj8fD4MGD\nwz6I1LRyj3ioavdlZRwn2KUranFFH92Kaoajab6gdk5iH4LCwkIaN26cwDOsGdQZwVS6ZCH6L3yw\nhQOlN++0tLS4LNV43MPRHFctxpqUlCS7N2P9IleWhRlp5msgEFCdl9mwYUPee++9qI9bEZ9//jm9\ne/fmwgsvVP37Sy+9xMqVKwEoKCjg1KlT7N27N+rjRMLrr79e5ud//OMfDBs2jCeffJKuXbtiNps5\nfPgwY8aM4dixY3KmdteuXRk4cCAzZ87E7XYzc+ZMWrdujdVq5YknnuDdd99lypQpcqmL1r3o/EN8\ntoMnu4i/qVmjarN11ZovRHL9i4qK6NixY2JOpgZRZwRTEK1ghhq1ZbPZ4o4HJMI9LLYPhVotpbKI\nP1EuyERZmMJdLDqvQOi4qvhZbV5mZfH666/ToUOHkIL54IMP8uCDDwJw/fXX8/e//73S1hKMiIk+\n9dRTnDhxQu6NqoyJAowcOZIffviBMWPGlImJBgIBbrjhBpYsWULHjh3DZmoqr4Vw/VWGkNa2lmtV\nlVwUzmoOl2AUSfOFYAEVnw8tS7YWIS5mpA3Y1YTSYrHIFo4y/hfvmuLdXm0doQY4i7hXotcQD2L9\nwe7iSOKqwecuErHuvfde9u/fj9/vZ9q0aeXmZfp8PubPn19mXmZeXh4jRozgr3/9K5MnT8ZqtXLo\n0CHy8vL4z3/+w4kTJ9i+fTt33XUXy5cvDxuvFr1ohwwZEvf7Ew1ZWVm89dZbuFwuebQVRBYTFV6Y\niRMnyqUuoboXiff9p59+kovwY7VGqpvqrlmsCYRLMFJz56p5xlwuF7t27eLkyZO4XK6IGheI7+ee\nPXswGo1Mnz6drKws+e+rV69m9uzZGAwGxo4dy/jx4wG49tpr5TaGzZs3V/08VwZ1RjAFkTQdiGTU\nVqKzbeNx6yrPJdLh08EkuvlBJCjPv7i4uJy7ONZknrfffpsGDRrwxhtvcPbsWYYPH87mzZvleZkz\nZ87kpptuYtWqVQwaNIg+ffpw66234nQ66dixI3/961+RJImsrCxmzZrFO++8w7x583jppZfo2rUr\ns2bNqjC5a+bMmarJPDWZ4JjovHnz+Pjjj8u9burUqfTs2ROXy1WmEUck5Q41QUQXj1pJ7yldaTaw\nkfy7DU9uJ3fJcSbkXMua+38me1wLbHlOCvYWcem0Hqr7KT5q4+z2AlqObMrZ3wpwFbhp0q9hyOOq\nCfPpbfn88OhGdHoJvUnP0DcvJalB/F2YEvUQoLRGg1tAimvu9Xrln5999lmOHj0KwA8//EB2djYd\nOnSgb9++XHXVVeXWs3LlSjweDwsWLGDr1q3MmDGD2bNnA6UP0DNmzODTTz/FYrHwxz/+kaFDh8p9\nwOfPnx/XucWCJpj/I1TMLFSJhRCqRGTbJirxJ56ZmrGuIZ4vpLJNGERekqM8ttq6d+zYwdq1a9mw\nYQOA6rzMJk2ayPMyN2/ezPfff09qaqpskQcCAbp16ya/9qeffor4vHbv3k16ejqtWrWKeJuaQHBM\ndMKECUyYMEH1teKaicHNEL74XhkfU0swCeVFqAyXbKc/tyHnw1xZMH1uH0dW5nHDpj+gN+rgf8er\n6KhHv8ujYG8RLUc2Zf9nh0m60BpWMNX4ccomBr54MfW71GPn2/vY/NJvXPZcr1hOq8pQWqOiS5UY\nWDBz5kzWrl3L0qVLMZvN7N27l507d7Jo0SIGDhwoTwASbN68mQEDBgDQvXt3duzYIf9t//79ZGVl\nyZbqRRddxIYNG2jcuDEOh4NJkybh9Xp56KGH5FKqyqbOCKb40gULhBBKp9Mp38AjmeuYyC9xvNad\nmNwRidAHk6jziOYcgjNfAVJSUmLKNFY7bvv27WnatCmPPvooRUVFzJo1K+y8zPT0dGbNmsX+/fuZ\nN29e2OMpYzah+PbbbxkxYkRU51EbCBUbCxZPYZUEbxuqDVyiBbPN1Vn89MxWvE4fBoue3C+O0WRQ\nAz4dsIKbN12pus2213PY+8khkCB7bAu63tmOzTN/w+fyUa9dGrs/zEVv0tOgeyZeh5efn92GpJdI\nb5XC4Jf7oDPoVD+rV8zrT1JDKwB+jx+DJTElUtXVuKB169a0bt2aDz74gK+++gqv18vBgwfxer3l\nxBJKJ6ooJ8SIjF6dTkdJSUkZt25ycjLFxcW0bt2aSZMmMX78eA4ePMgdd9zB8uXLqyQ2XGcEUyA+\nQD6fT7YooxHK4P1Ul4UpkmPE2gOBQMwDnGNdA0R3DmpWvEiCSFRrNUn6fV7m8OHDKS4u5q677grp\nJRDzMrds2ULz5s3p0aMHJ0+eLHNuyiSXPn36cOedd7JkyZKQhdn79u1j6NChCTmfmkqkN+SKEkzU\nJrsEI8bzJcqla7DoaT26GQeWHqHd9S3J+SCX7o+04/ia06qvP7e7kH2LD3PdiuEE/AGWXvMtWUMb\nc9FDncjfV0SHm1pTdMhG8oVWGl10Ae/1/JyxK4djvcDCz3/fxu73D9Dpz23LvCcCIZYnfj7N9rf2\ncN3Xw+M6t+okOGQlSRJGo5Hs7OyQ26SkpGCz2eSfhVgCpKamlvmbzWYjPT2dli1b0qJFCwBatmxJ\nRkYGp0+fplGjRlQ2dUYwg79kbrdbdr/F01atOjr1iCxS5c0l1m43VZH0o5b5arFYsFqt5OfnJ+SB\nQ5IkbrnlFvlvc+fOLff6nJwc+d+PP/44Op2O9PR01q1bJ18Dt9uN2+3mtddekzOJhw0bxrBhwwB4\n8sknefLJJ8Ou61//+leFa69NdYzREuzSE4TqYAOUK+eKtSm5oNOEtqx74leaDmiIq8BNZpfQGZ3n\ndhVSfMTGkjGrStdS6KFgf/H/Fl32tY4zTuynHCy/9UcAvA4fzS8PX4+499NDbPrXTsZ8MhjLBdHP\ntVXjfKkt7dWrF99++y0jR45ky5YttG/fXv5b69atOXToEIWFhVitVn755RcmTZrEokWLyMnJkTtk\nlZSU0KBBg0SdTljqjGCKjheiBVwgEJBHbcUjNFUpmGICinKAs4gPVWccNdz2wWsOfjgJFYesCuJp\njXfzzTeTn59f5nfKeZmhqO6El5qMJEnlBFSUb5lMJpZe+S09HmpPo34XyEK64cnt5H52jOt/vYJ1\nj2yl7XXNcZ52U7i/hEun9VB9v4uP2ig+ZMNT4uXnv2/jwkvrh11XRnYqmR3SuXJRacbzlld3cUGX\nDI7/cIqzvxXw6bBvyBremIAvgCXTTEqTJEYtGIQp1ciBZUew1DPL5yPOU5CzIJed8/ZxzRfDsNRL\nXAP7qvxOxVMqM3z4cNauXcuNN94IwPPPP8+yZcuw2+1cf/31TJkyhUmTJuH3+xk3bhwNGzZk3Lhx\nPPbYY/zpT3+St6mqPsB1RjBdLhclJSXyzwaDQc62ioVECmZFhKulVJ5TPCQ66Sd4zfFmvkZz7Gi2\n9fv98hqjWVtFTRE0EodOp8NoNNJlYjYHF5+g9fCsUq+F08PRVae4ftMf0BlLH3q8Ph8erwePxyM3\nXghOMBLJOh1uac33D2+k77SuQIjPkwT1u9Sj2eALWTRiBV6XjwsvvoCUJklIRolj3+WR3DSJBj0y\nWffkFuq1T2PAPy5i2bg1BPwBTGlGhr15qep5+X1+fvjbJlKzkvn65u8BaNK/IX3+X7eEvXeV/YAW\nqqQt0uNKksTTTz9d5nfKZLkhQ4aUK80yGAy88MILMaw2fuqMYFosFpxOJ2azmaKiorj3VxUWZqha\nSrUs0urIclU7fjRrFsevjqYJ4pih2uuJEpeqbFitER6RrONzlSbHHFmeR9bQxiwetIo/bRyDwWDA\nZDThMXjl67bzrX3kfnYMJGh1dVM6TGzFpn/twOfyc9GUziQ1tLBzzn7qdUtl0Cu9WXLVaiS9xL7F\nh+VkHYCef+lIz7/83rnGedZFzoe5jPv2Cr69/2daXtGUllc0lf+u5oYNtjB1eh23HxpXKe9VVTd8\nUB6ruLi4TCJPbaLOCKYkSWUsykQ1HagMwVSrpRSiE/wlSFRZSCK2dzgcqj1fa5LYCNe88uYlXNsi\n8QQok4CizOBUtoerSedVFwhO1tn9/gH6PtWdwytPACLBSIdBb8BgMOA64uXIl3lct2I4Pq+fL8Z+\nR7PLL6TLfW0p2m+j5bWNKThQRFIjM/V71GPxZau4+qvLSWpgZePzO9n13gE6T2hbbh1+n5/V9/3M\nZc/3Qm+u2CtRfNTGqrvWy4lOkqRDp5MSbk1WB2pu5tra5QfqmGAq/10TBFOgLHFR1lJGM8C5OhoP\nKLeLdZZmPNciWsFSS5bKyMiQC6/h96Qfg8GATqcr1yJMOVYs0VMfNCqmftd6rLpnPdvfzOHc7iK+\ne3AD7iKP6mtFss6yq9cAYD/h5OuxP9KgRyaZHdMxm83o9TpAwnnWheOUixUT1wHgdfppMrABDoej\nXJLR6V/PUXigmO8e/AWv00d+ThE/PraJy56/SHUdqc2SueaLYfJ0I7PZTEmunU+GfsNFf+2M3pS4\nMIWgOlvwaYJZy4iklq4iEmlhhhrgHEktZaKyXKM9D5H5KqxgUdZitVoTUkuZyO2DZ2iaTCZZJIWl\nGPzFV3Y2EccILoFQaxFWEzvbVAZVkYWpdoy0VimY0kw06d+Ijre2pf2NLXmj0UJche5y2wcn6yy9\ndjWNL2lAWlYKZ3cVYDQaMRgN6NBhrmciuYmVkR8OxJCs58DnRzCmG1RLXVI7JXHtd0PR6XTYjzlZ\nefv6kGKp5PiPp1h523rSs1Mp2FOM1+Zl+1t76HFvxU3KT/5yhpV3rKPtdS245KnwRfqVlfDjKnSz\n8o51uEu8+N1++j/XiwYXla+t1ASzliBujDWlS49AWDUQXS1oItYRy/kHZ75C6bqTkpJiPn5lxFzU\nZmiKZKnCwsKo3rPgDE6x5kg620TS0UYjQgKQ1jKF397Zz62/XY272AMSLBu7Bme+mzPb8+l6ZzYH\nvzzG8bWnKDlm5/2LPkeSJEpO2Ck6WEKXSdns/eQQuV8cRWfUUXLMTlILM93v78B7XT4HJHR6iWu+\nHIrOoWf5hLUE/AG8Th/9/tmdjI6pbJ+9h9ylxwl4/TjOuLHZbGz9Vw6nNp7Da/cx5NW+ZLZPL/eZ\nvvCy+uj1egbP7MOXN37P1v/k0PHmNpjTw2fIHll1gm73tKfbXe3Dvk5Jor9PW1/bTbMhjel+T3sK\n9hbxzaS1XLd6eLljaYJZy0jEBykRTQeUnW7iqQWNdR3Rbq+W+Wo0GuVSnVh5+umn2bVrV9TjuUJd\nRzXXtoinLl26lD59+pCUlKR6zjabjdtvv52SkhLMZjOvv/56yLl+wUX5jz/+OFu2bJHPo0WLFlxw\nwQW8/vrr5SxRn8+H0+mMuZYw3JixQCBAUVER//d//4fNZsPtdvPcc8/Rp0+fiPdfkyk+bOOCzul8\nccN36A06Ri8YxK8v/8bFU7rSenQztr2RQ/NhjbnsuV64SzwsHPA1Y1cOZ9ube0i+0ErniW3ZMXcf\n131T2lxg3dO/UnLYgR49nf7cln7P9OD4utNIeolTm89hrW9h2BuXkr+7EK/Lh/Ogh8NfnuTab4aB\nFGDFhPUcWXESfyBAWnYKfZ7uAoDdbi871SMQIH93Mb0e7ET9LvUI+ANIBomlV60mrVUKrnw3oz8e\nxOrJP1N0qISAL0D3+zqQ1iKFXe8fQG/UkdI0CXOGqVwnoaLcElZN/gmdUUfAF6D/Kz0wJZlYfvc6\nCJSK/eBZfajftR6/vrKLfZ8eQmfQ0aR/Qy59ugcbntvGyZ/P4LF7ufy1vtRrV17wut/bQY7Z+rx+\nDBaD5pKtzSgtTKieLj3BEzmg1P0Xa4lLVViY4TJf1WboRXv8qVOnUq9ePd57772YxnMpY8DKBgmS\nJJGUlFQmnvraa6/RsWPHkNbwe++9R48ePXj00Uf5+OOPmTVrFv/4xz8iWsf06dMBeP/999m3bx9T\np06V1yVcusq2cKHawwW7c9WuUUVjxt58800GDRrEfffdx969e5k0aRLff/99ROdR02k2sBEj3u5f\n5ne/vvwb9bJL26gV7Cmi2ZDS98WUYiSzQzqFuaWNBgKBQLnmAm67l8YD6tN3Sje2/juHz6/7FlOa\nia53tePXf+/CdszOvHaLQYK0rGTSWqVwYe8GmC2lVmHzyy7Enls6rDm1fTJGo1G1e5HP66VobzFr\nH93M2r9txl3sIbNDOoYUA9njW8pib21oYficfrLYj1s5gg43tSb5QiutxzRX7STkc/tp1Ls+/Z7p\nwbEf83AXeyjaY8NygVkWe4/dy9mdBexffJixq0ag0+v46uYfOPj1MZAkMjumc9mM0K5lYQXb8hys\nvHM9A/6h/trCwkIaNoyup+75Qp0STEF1NR0IHuBssVgoLi5OSD1hvNurnUc4Sy34uImycAOByMZz\nSZLEu+++i16vl8dzHT9+nBEjRvDoo4/y0EMPkZyczOHDhzl58iRvvfUWJ06cYNu2bdx+++0sXrxY\n9b27++67ZYv5yJEjIdvfRXI+Xq+X//u//+PAgQP4/X6efPJJ+vfvz6BBg+jXrx+7d++Wz8NisfDw\nww9z/PhxTp06JZ/HAw88gMVi4ciRI5w6dYrZs2eTl5dX4ZixO++8k7S0NKD0syfGdZ1PBFsvi0et\npNWopmVe88OjG9n7ySHqtU/jp2lb6XxbW1xFHja9uJPWY5rjLvZwdmcBaS1/L3PwOLyY0oyMWjCI\n4iM29i49SP2LMsj98hiN+zWk95Su7Pn4IDkf5tL7b11xnHGSfV0LTv58mp+e3UbvKV1ZPGolZ7bn\ngwSnNp6lQc9Mmg26EL1Bj9lsLnMOwmWPJNHiyqYM+k+p0HzadyWjvhzAypvWY25qwOl0cnZ3Ac0G\nX0ggEIhI7EUnoYsf6czml37j8+u+xZhqpPsj7Wg+7ELsh518eeN36Iw6Ln6kC/l7i2jUuz46fakn\nq8mlDTi3uxCAjLZpFV6TszsL+Oa2tfSf3pMm/RrK3qZgC7Ndu3ZRXOnzhzoZUFEm28S7j0gSTkpK\nSigqKsLj8WAwGEhNTSU1NVUWnuporxeMcnvR87WgoEB2GyclJZGenl4uY7cyWuuJ8VwrV67k448/\n5oEHHgCQx3OtWLGCJk2asHLlSk6cOEGPHj149913WbZsmdxM3Wg00rJlSz7//HPuuece5s6dy8iR\nI+nWrRtz584tM6ooGJ1Ox7XXXstbb73FmDFjYj63d955h/r16/PVV1/xwQcf8PDDDwOlDaevu+46\nvvrqK5o0acJ3333HuXPn6NevH5999hkrV65k/vz5spu2adOmvP/++0yYMIG5c+dy2WWX0alTJ159\n9VWAMvMpBWlpaVgsFvLy8rjzzjuZNm1azOdRU+j05zYcWX1SHiPic/s4+PVxbt15NZJOkn/fdEAj\nvE4fi65YwWdjVtHnsa5Y65c+MEiSxLHvT9H4kgYsG7eGz8d+y/5Pj5DRLpWGPTPZMH0bn125it/m\n7aPb3e2p3yWDXe/s57PRK1n31BYuergzF3TK4OK/dsHn9OEudGNINvCHdy+T969ExL5NJhP6/4Vb\nrFZraXKcTvrf57B07V6vl9TWSRz98QQ2m42CvALO7MjH3NgkD+k2Z5rkTkLXfDGMXg91otngRhz4\n4iiN+zXk6qVDaX1VM3a8tpcTa0+TdKGVqz67nIv/2pmfntlKvXZp5G08g99Xur/j606R0fZ/Dc4r\nUINzuwv5+tYfGfHf/mQNawJoWbK1GnFRq6vpgBhdlegSl3DrqAjlWpSxVeFGijQJKZGCHcl4rmbN\nmmG328nIyGDz5s38+OOP1KtXD7fbLccUla9dv359VOtZvHgxhw4dYty4cWzdujWmc9q5cyfr169n\n48aN8nmcO3cOgK5du8prczqd1KtXr8yYMbfbjdVqxWAwcPHFF2OxWMjKymLTpk3yNRNlCgLhxhXv\n5c6dO7nzzjuZPn06/fr1i+kcQlEd7QxF44I//W+iSO4Xx2g+9EI+6PMFf9o4hjUP/AKATi/R8g9N\nuXRaD7a9nsOOuXvZ8d+9ZI9tQac/t+GD3l/gc/no8/+6suH57QR8AUqO2DH4//cQ5QuQ3iqFCzql\nozPouGrJ5eXW0uO+DvS4rwPfP7KRBt3rkdTQSp/HuoY/AQkk6XfX+63bS4d66/U6kpKsJCUl0fX2\n9nz3l1/4+tq1eB1euj/cDkO6Dq/Xi8dT2tqz9zNdWHrdagiAKc3EsDcvJaVpMqvuXs/GF3QEfH4u\neqoTGa3SWXPnBnbO3YvfG6D3lK5c0CmDtte2YNHwFQT8ARr3a0jrMc05s72gwoffn57eit/j44dH\nSz/PpnQTQ9/uW+51RUVFMXtmajp1SjAFibLK1MROuDGVBfwV1VJWt4UpSaXDsIuLi0P2fK3o+PEc\nO5hw47kA2U3s9/v56KOPyMzM5M033+TAgQMVDm0WtZWhrOSXXnqJBg0acNNNN8kZtbHSrl07mjZt\nysMPP0xRURGvvPKKPOIo+Lzff//9kGPGhJViMBjkeLfBYMBoNJZpuqAsc9mzZw+TJk1izpw5dO7c\nWX6QSHSZS1WUlQgqalwQTKRTRkwXGKjfox6fDfg27JSRYOynnRz7Po8B/ywfy/vq5h9w5bvK/M6Q\nomfw3N7lXnvNF8Pkf5utJka89Xt8VlzTPo91lWOijQfUp/GA3/vf+vFiTNIxaskA+YHJ4/FgMpnC\nir2SCsUeGPXhwHK/E2VlmoVZC0mkhSn2o4y9qQ2gjmSAcyJcw7Ei3HmiRMJoNMqWTTTHT5SFKUnq\n47kEhYWF8tr0ej0DBgzg/vvvZ/To0WRlZXHRRRdx/PjxcmsU67zkkkuYNGkSH330kWriz80338zd\nd9/NRx99RCAQkKe/R4skSdx2223cf//9jBo1iuLiYu644w7V6yVJEoMHD2bSpEnymLGePXty4sTv\nHWyCz6Nv377cc889ZcaMiWvodrt5/vnn8Xg8PP7440Cpi/a///2vvB9lYlEs0z6qEuXagqeMNOhW\nvg5QEM2UEedZV9RTRvZ/dph217dUfe9Gvjeg3O+E5yaa91qtFElcZ7WSJiVutxufzxdREpkSNbE3\npZsY9UF5waxrLlkpUB2+lWpCZCi63W5KSkrkWEKsFBYW4vP5SE5OLjNXM5oBzkVFRfJw1VhuWmJ4\ntMlkiqp/Y7DLGJDjqtEQCATIz8/HYDDISSbBTJkyhc2bN6uWjdhsNlwuF2lpaSFFOtTEE/GAkpKS\nIuZAp/wAACAASURBVM/TXLJkCX369AlZCiLYvHkzf/jDHzh8+LA8NV4cy+kszXhUJm8kikCgdAKH\ncNFXBqKuV0ziUWu6EIxwE0ba/s/lcuHxeLBarQltqK9EXAuTyVRmXuqiEStofGkD0tuk0unWNrzb\ndYnsks0em4U9z0n+3iKyx7Vg/VNbykwZaXNNVumUkV0F9HumJ7/8Yzv6NB3Zf8ri86HfMW71FWWm\njDTpHzrb86ubf+DiR7uEFW0lQjCTk5MT/oCizMRWzslVI7g7VTxeB7VzGj16NGvWrKmVNcd1ysIU\nJMIqEh9QQB5yGkstZaIK9yM9F7XMV3Eu0YplpMyYMQOA+fPnlysbCXct/H4/dru9TN2n0vpVe79E\n2Ug4wSwqKuLqq6/G4XAwZswYeT/p6enMnz8/xrOsHtTGjKWmpjJnzhzgd6tU+ZlUehTUBjgr2/+p\nWaLVbY12uKU165/cwq2/lcYAVZcjhZ4yktk5g40v7qRBj0wa9Mhk7RObSWuTzGUzekU0ZURQsLeI\n9JaRP6RWZnck5XUW/ZJLW//py1mjat2LgueLRiqiauekHAJd26hTgpkol6xIjBFPcSaTKeYn7cos\nC1EivkRi3coaxaKiIlWrI5HHV65DWTbi9Xp55JFHGDFiRJmykUAgwNy5c0lKSuJvf/sbeXl5nDp1\nitGjRzNt2jRuv/12jEYjubm5nDlzhjlz5pQpG1m1alXIqS733nsvn3zyCTfffDPLli0rY2HG+j5E\nS6IcO2rNHZSdo9RQ3lyVVr3StVfRzRVg+yt7yVt3loAPJJ1Ev2d7svbxzQx5uQ8Z2b97G85szyf3\ny6P0/lvZONmqu9eTPa6FnHEZKZ1uaUOnW9rIP9+y7WrWPvErBXuL+Pnv2+g8sS2XTi1N+AqeMgLQ\noFs9/rRpDMd+yGP5n38kvV0qW1/aQ8AdoN31LSPqpnPylzP4XD42z/qtwlZ1lYXH5uWbSWtxF3rQ\nmXQMe/0Skhv/3pAjVHepcB2qlERSF6z2oF/dD1SVSZ0STEGsghlcSylimPG4pRLVeCDU9pFkvsZr\n5Ua7jSgbeeONNzh27BijRo2S45XXXXcdTz75JPfeey/ffvst/fr1Y8CAAUycOBGn00nbtm2ZNm0a\nkiSRlZXF9OnT+eSTT5g7dy6vvPIK3bp147XXXgtpLf/9739n5MiRdO7cGYivtCgWavLNJNTNVa2H\nbsGeYo6sOMmopaWxuoJdxayavB5LPZMcFxfnWr9rPep3VXFbSlII8/D3Y5e+LPx7dvT7PIoOljB2\n5Qh8bh8f9vmCNtdklWk3t3jUSnpP6UqzgY3k3217Iwd3sYcrPurHjw//SodxrVh1z08UHSzhsucv\nkqeMKPG6/KRlJVOvXRptrs0ia1h413/w+UiSxOmt5/jihu/IaFNaztF5UjbZ17WIeD+C397ZR6Ne\nF3Dxo13Y/f4BNs/aFbKZgBIRw1bes5Rx0WCPg/KBSem6V2Zk1xXqlGCKL564KUR6sUMNcHa5XLhc\nrhqR5apGcOzPZDKRlJRUKe6SitY/ZcoUvvrqK06fPi2P13rnnXdo3749Pp+PU6dO4ff7adOmDYFA\ngKysLPR6PY0bN2bTpk189913pKWl4XK5mDJlCt988w0Gg4E5c+aQkZFRZpD2qlWrSElJUXXLLliw\ngCZNmnD33Xfj9Xpp1aoVd9xxB0899ZTqusO1oIPSz8Zjjz3Gli1bcLvdPP744wwfPjyKd65mIzJ0\nlQQCAZwZbmzHHOz/6AhNBjcko2Mqo74oLcL/+bltOM648Nl9DHmjD7ZjDnLePciIt/vzbpclZLZL\np16HNLEz/F4/a/5vA4UHSgj4A/R9shvJjax8c8c6Ri0rrW9cPuFHetzfkUYXXVBujY371i8TRwz4\nA+iMZT/jnf7chpwPc2XB9Ll9nNxwlpYjm8qv9dh9IEns/eQQthMOXPlurlw8pEyruvrd6+F1+Nj1\n/gHcRR5cBW4C/kD4VnX+ACPm9sfldbHm7o04T7mQ9BKXzbhIblX38eCvo29VN7kDAX/p9674iA1z\nhkm+PuLaRXOd1URULcFIzetw7tw5Fi5cSGZmppzTUVGMXjQl2bNnD0ajkenTp5OVlSX/ffXq1cye\nPRuDwcDYsWMZP358hdtUNnVKMIOp6CZfUS2lENDqrKNU216t52u4zNeqsDBnzJhB586d+fTTT/F4\nPAwaNIhHH32UkydP8vLLL8tfLrPZTHp6urzW+fPnk5GRwauvvsr+/fuZO3cuM2bM4OzZs6Snlza3\nHjRoEEuWLAFKH4bee+89Lr/8clXB3LlzJ/v37+fhhx9m586dbNu2DZPJFNIVW1ELugULFuD1evnm\nm284ceIEn376aa0STDUkSSKlSRKXz+vLvvmH2fTcLpznXGRkp2I74SDpjJuM9qmk901l/5Ij1O+Z\ngdfnw2azYTtm55pVl2PNtPDd/RvxBwL8Nm8/1voWLn/tEpxnXSwetZI//jwag1VPwd5i0ptKnNme\nz/qnfgUgEIAT60/zxw2jqZedht6sR2/W4/P4WXXXT3SemI0xqexnXdRwep0+DBY9uV8co2GvTA4s\nPUrJSTtFB0oo2mOj/Y2t2P/ZYbLHt6TkiI33L1pWOmz6oU60v6kV/221iKSGFhr0zOTEulMc+/4U\nB78+zsAXL2LLv3dzZM1JPhu1krbXtZBb1R1fdxpXkZvTe/KxZJrIzE7nzLZ8Vt29nrSWKRQftTNu\ndfSt6qDUFf7Zlas491shV302JOHXOTj+Xfr+/+51EPeY/fv3y3FzgF69etG6dWs6dOjAzTffTM+e\nPcvtf+XKlXg8HhYsWMDWrVuZMWOGnJXu8XiYMWMGn376KRaLhT/+8Y9cfvnlbNq0KeQ2VUGdFEzx\nQQjXdCB4gLNaLWVVNECIdB/iSVC5bmXP10jWEA+Rrl+SJLp3786uXbvIysqipKSERo0aMWBAaQ3Z\n8OHDGTRoEEuXLiU5OZk5c+YwefJk3n//fSSpdNjzX//6V6D0C6fX6/n+++/ZtWsXO3bs4PDhw+Tn\n5zNhwgRcLheDBg2SW+l98sknJCcnM3nyZDZv3kxJSQm9evVi8eLF/POf/8RisXDo0CFOnDjBK6+8\nwtmzZytsQbdq1So6derE+PHjCQQCvPDCC3G/l9WJiOtldvzdorHUt/CHdy4r87qi3BJMaQaGvNqX\nE+tOs+lfOzm9JZ/UrGSumHcZ9bLT2DF3L7Y8B0ajCZ2u1IIxZ5rQp+hY+/hmDi0/Tt6mM6S1TKHk\niJ0TG04jSeD3BXCcddLhllas+ON6Wo1pRtc728mxxUVXrEBv0pHWMkWOgxYcKGHLv3+j05/b0uvB\nTuXOy3HGSf0uGRxYeoQLumSw5dVddLylDUfXnGTEgktZ/7etdLyhDfY8J/s/O4xOD/sWH6bF8MY0\nG3wh29/aS3rrVHRGCZ/bR/FhGw17X0CzgRfyy4ztfHPbOhp0r0dyIytIEjqDhDnNKPelvWRqd5pe\n3pDig3b2fXAIc4aZAf+8mG2v55RaxDG2qgO45vOh5O8tYtm4Ndyy9apKTS4S+zUYDHJehF6v5+KL\nL+bDDz/k559/ZuHChTRp0oRdu3axb98+TCaTqmBu3ryZAQNKXfrdu3dnx44d8t/2799PVlYWqaml\nbuuLLrqIX375hS1btoTcpiqoU4JZUYed4AzSimopE/GBTGQdoxhZFUmzhFD7iIVIa0lvueUWoNTK\n6969O5mZmTzxxBOcPXuW8ePHk5OTQ/v27bnhhhuYOXMmEyZM4ODBg3zyySesXr26TBzz6NGjDBlS\n+kQ9btw4li9fTosWLVi2bBnZ2dm88847jBkzpsy+li9fTp8+fbj44ouZMGECgwYNomfPnkyaNIkO\nHTqQlZXFzJkzeeutt3j33Xd55ZVX6Nq1K7NmzQr50HH27Flyc3P5+OOPWbt2LZMnT+arr76K6X2M\nh+BJKVlZWTRs2JB33303uh1J0GzwhYz4b/+QL/n8889pcLopJ5ecY/TCwRAAY7IRc4YJSSchUTo7\n8YenfuFo8wNMHngH53YWcezr07gLvSwfu478nCKaD7uQkmN2jq7OI6mRmT5/70Jml3R+e30/PrOX\nZn9oyM/PShxYcoS+P3cjEAhQdNBG3saz3JZ7HXqjDiQJn9vPry//Rv2u9bj4kS6qaz76XR7WBhZy\nFuRSr0MajtNOOYaoRuGBEoqP2LCfcpL71XGsF5jZ+MIOJIOO7LEtOPrDKRynXRiTDSQ1tGDPc6I3\n6nAUuQj4AhxZc5Kud7aX+9JufmknWVc3JqmRheu+GUH+7kJ+emYr3e5px6q7fsLv8yPpJI6vO0X7\nP7bizPaCClvVbfrXTlKaJNH+j60wJhnQGaILNcWLUpglSSI7Oxuv18uvv/7Km2++id/v58SJE9Sv\nX191+5KSkjKlcCKjV6fTUVJSIoslQHJyMsXFxWG3qQrqlGDC70IpSZLshlPLII2klrK6LUyxbqVY\nBU/nqOw1KLcPh0g+EjHV3bt3s2HDBrZu3SrHRdTa3zmdTjIzM8vFMQUNGjTgt99+Iycnh61bt5KT\nkyNnwp48eZLHH38cnU5Hbm4uu3fvZsWKFZw9e5Zly5axZs0a+UvdoUMHunXrBkCTJk3YtGlTROee\nmZnJFVdcAUD//v3Zt29fVO9dolBOSsnJyeHRRx+NreF6gHJF/a5CNwsHfs3NW65EkiS+/dtPXHn3\nSAr3FTOv7WL83gA+lw9jsoGig14WDvyacy1OYPd4MBdbCfgD2PMctBrTDCRIb5VK26uy2LvoMKnN\nk/B382OuZ2LVzT+T3jaVjhNblboCTTqaD2vIvoVHcftd+Gxe1jz8M436XsBH/b7kxg2jgAAHvz6O\n86yLM9vy+Wz0SkqO2TGlGtFb9GSPbUHXO9uxYfo2bMft6Ex6jnx7EkmC7XP3EvAF+HrcWooP2XGd\n8dD22tLkm7SWKWR2SGfUR4P46o/fc3j1CXR6iQv7NkBn1uF3+zAm6cEPA1+4mK/+9AMeh5eUpklk\nj2uBzqhnw/RtbHxBB/4A/Z/rhS4Tvp+8mbUP/0payxT6/70X+TmFNOiRGXGrugOfH2HfZ4cZMbc/\nHW9tw6q71rPrvf34fQGGzi7bpq6yE8zULNnC/8/eeYdHVabv/3Oml5RJBxJCCAQkdIj00HsTFBTU\nxV5YFXth7bpfwYqKbf2tFVFZUIqKAqFIkV6kBAg1BEgjdXo9vz+GM0wmk5AKKt7XxUUymXPOe9p7\nv0+7n7Iyn2iBTCYjPj4+6LYAISEhvpI8qFiOEhoaWuFvZrOZsLCware5FLjiCFOCdJOl4neJdGrT\nwPlyEqZEPv6xt7CwsMtS2iKhqhiof/KRKIrI5XI6duxIcnIyDz30ELm5uXzyySc++bvAfQSLY/qj\nTZs2vljKm2++ydVXX80777zDhAkTWL58OSqVimeeeYa2bdsyb948MjMzfZm5X331FamplV14EmQy\nWbXWc+/evVm5ciXjx49n3759NG/evMbXq7Egle488MADnDx50tcppV+/fvTu3Zt+/fpx4MABBEHg\nm2++Qa/X8+CDD3LmzBnEYwqGFIzDMsbK4cNZyGQyToecICq3KV+kLcatcNH8dGvmfvUOI0sn0+v5\nzkS1M7Dp6d00H9SElEktOLIom73/c9Pl5Ri2v7MXl8WNvqmWM7/m0bRnNM36xHBscQ7RHQyc2ZhP\n2XETUR0MhDbXM+GHIWgivYIRdrsdQSaj+eA4Tq8oIOmaZuRtOkdkp3DMeTaWTViDMdtCv7e6Et0t\nnPJjZtpMSWLDIzuZ+MvQCnJ4ba5P4sRPp+kyox0bHttBz+c6sfejLDxukQH/SWPPa4cRPAK5mwtp\nc0MSLUcnUHrUyNIxqyk7aaJJj2j6vdKNpdesIXdzIaGJero+nMrWl/Yy4M00Rn/Tn+2v7sdR7uTI\nomyGftybNpMuZL5KNcWjFvbDdMTK+kd3sPON/ejitIz+tj+qkIoejGBSdRue2EHOmjyizyc46WI0\nPlGGwPt/KbKxg81ZtVH56datG2vXrmXUqFHs2bOHtm0vlPMkJyeTnZ1NWVkZWq2W7du3c8cdd3gX\nbFVscynw16wurQaBBGU2m/F4PKjVagwGQ62ySBszw7UquFwuysvLMRqNuN1uVCpVtYX8tUFDW5j+\nnVpcLpcv+UilUnHXXXdx+PBhRo8ezXXXXUdCQkKVbu9BgwaxcuVKRo8ezeuvv15J/u6WW27hzJkz\nrFy5kuHDh5Oamsqdd94ZtK5s0KBBmM1m5s6dy8SJE9HpdMycOfO8uLUTp9NZYRw9evTg7rvvprS0\nNOg53nrrrYiiyJAhQ3jooYd4++2363IJGxxff/11lZ1SJk+ezPLly2natCmrVq3izJkz9OjRg8WL\nFzNnzlscdh1gwk9DOTlsH/J7LTz/9b+IiYghz3WWIS/2pSD2NOPdUxEECG3h7ePqKHeQvfIsG5/a\nSf6Oc4TqQ1E3V6A26Tg475g3Hnf+ujbrHUvTvrHkrM1FFaqkaa8YBs/tSauJiagjLpSC/Dx5A44y\nB1fP7Mjx706z+bG9uJ0eiveVna9IERBdIuYCG26PG5fbRf7ec5Rnm/h+1CqWjM3AVmyn6Eip79lO\n/Ucruj6UiujxJg/hEflx+K+c+iWXsuNGCnYXcXZjAYsGryAkQUffWd2Qq2VYC2wsv2k96a92Jy4t\nChDZ+uLvTPltFPomWrbN2ocgFxDkAoPe7QkiLBm7miVjMlg0ZIW3FRiw74MjrH1gK6JHJC4tmuGf\n9mXPuwdZds0avhu2kpKsskr38uebN7BkTAY56/KQq2Wc/jWP5Tf+cXqbVmVhXgzDhg1DpVIxZcoU\nZs+ezcyZM/nxxx/53//+h1Kp5KmnnuKOO+5gypQpTJo0idjY2KDbXEpcUdJ44JVyMplMvlILpVKJ\nTqerk2UmkZdGo6myIXFD7aO6zFeTyYTD4SA8PLxO52G1WitJzNUGRqMRp9OJwWDwWWQ1TT5yOp0Y\njcY6yRTW5/pLY64OgYXbDaW5ajKZfL1FGxrz58/n0KFDlJaWsn37dqKivGUY+fn5rFixgoEDB7Jj\nxw7UajUvvPACKSkpjB8/nmeffRaTyUSsqRmlK618UPw606dP57rrrqNXah/m912GxWamde9k5pV8\nzDNvzWTruEM07R2DOc9G0b4S9E21aCLVmM5aUOqV2Cw2ym3lRIVEkTikGSnXJbLzrQPI1XKMp7zN\njQWZQMGuIgSZQPpraaROa+UrITF0CPHJ7y0dtQZNlBpbqZ387V7XfWzXSBRaOV0eaMeeuQfJ23qO\nMT8MYNXNv9HnrS5Y820cW3Safm935fCXJ8j87wliukZgPmNBrlbQ5cGrWP/wDvrO6UJ0+wh2zT6I\nQqtg5Bf9KjRv3vtxFvomWna+eQBzvpURn/UFEbb+315ajWvOng8O4TS7aHN9EpZ8G60mNCd/RxFH\nF2UT2y0Kp8WF6PYgCmAtsHFL5gTMuVZW3LqJtMfac3LlWWznbIz8srL+bCDObMjnwKdHGf5ZX4oP\nlbFuhrejT3irUAa91wOZXNaoz5c/pG45arXa925/8sknREVF+fIV/mq4olyyoij6LLM/guhATfZR\nE/JpKLWg+m7v36mltslH9ZUpDIYpU6b42mlJCA8P59NPP/WRpUKhQKvV+voNSlrD0nilmrM777yz\ngpUpCAIGg4H58+f/IWXAWrduTWJiIo8//rivU0pVLm//TinbF+xmzfKtLBmTQVJWR079XoIpcjNN\nHw3j8JulnF6fT3dFfwrXey2h+PQ4us5IZeu/fyd75Vk8bhGPWyTtiQ6snbGVoqtyGfPAEM5uLAAg\n5dokyk4YUYUqKc82UXKonInLh/Lbc3to0jMaW7Gd3K3nsJX8jsvuAgH6/rsr1nM2ig+WMmntCLbN\n3s/Jn06TNrMDy69fz1U3J1O0v5QOd6WQ0KMJboeHLU/sRZCByqAiPDGUsKQQBLlA22ktUOgV7Hg5\nk3OZxahCFWR+dAxrkbdutO+sboiit3mzJkrNsolrsBU7kCllGE+bQYQVt2xEqVcS2lzHgc+PotQr\n6HxvWw7/7yT2Mgetr02kWZ8YTDlmb8/LEA3dHm1H8ckyzu0oRSaXcfrXfJRaOcWHyig5VIa+Se11\nhbe89Du9XuxMs96xrJ6+hZM/n6HlmIR6Pjk1R1XC661atapqkz89rijCFASB0NBQn16mlA1bn/1B\n49RhBtN8bcw2YfXZXtrOaDTWWoC+MWMt3377bYUxWq1WbDYbTqfTZwlL2r9S3EepVOJwOJDJZGg0\nGl+5zhdffOEr4Pa/ThaLJaiE2OUkUUEQ+Mc//sFTTz1Vp04pmWmZTPvvfFa89B1pkyaR1rIHm377\njfIWRYy9aziLf1vInheyiE2JpsVIb1KHvpmOpFEJxKfHcuCTo6ROa8W6R7YSWmSgzfVJPsIsyiwl\nd3MhmkgVqhAloc31hLcMJfWWVhyaf5y87eewFdkQXSHeWmeTg6Vj1xLV3sDoBQMISwoh/bXu5G4u\nIL5PHMljEyg/aSb5muYcW5pDr2c7ozGouOrmZEKa6ig5Uo5Gq6E8y4JCJePwZ9m0mticSRuGsajv\nShwmF6njm5H1ZTYehciJlTkoY+XsnnWIon2lJI1NIHF4KCWHymg9MZFjS0/hsri5afc4TmWcJeOu\nzcT1iCbzy2MMfLsHa+7bwtHFp4jpHIlSr2D0NwPYOHMnP173KyGJOpzlLtyz3Ox66wCm0xYi24Vz\nbl8JJVnl5O8swmV1VRJBkLJfAzHqq3QEmbfMxZJvraBsdLkUpf7KnUrgCiNM8LoyZTKZzyV7uQkz\ncB91ydhtbHm96uByuXzXUooF11aAvq7Hrml2rsPhbbzrv/Bwu90XXTDVR3PVX0KsJt0/Ggo33XST\nT0tWUknxx759+3w/v/DCC76fN23aVGlfH374IeDNzCx42cLVV/WmzfVJPDbuERZsWo5CoahO2Q6F\nUkFqm1R+mLCGkqxyCn8vwmVx03Jcc/q+3BVHuZPdcw+iiVLTekIiu989iCpEgSZCTZspLWmSHoUq\nWoFKrmL5pPVsn7WP4sNlGE+ZSR6TwNb/+53sVbnYShwUZZbiKHOy6dld3oOL4PGIZK84S87aPEoO\nlxGbFsWAN65m0ZAVJA2LJ+3RDqx7ZDuhLfS0viERfazWW4c66TfkWhkhzXXkbS0kJ8NrOae/342Y\nnhGsf2AH3/T6CUOrUAS5QEL/OHJ/K2DdI9txmFwkj0kAEY5+l83Cgb9QcqScYZ/3IapHOEsHrGXh\ngBW4HR4iUw2kv5bGuf2lhMTriOsexVddf6i+J6dw/h9e0QJjjpml49egDlcS1d7Q6DWY/qjKwvyr\nNo+GK5AwJTSmdVjXcQRmvtY0Y/dSlIUEIrCTCHhrpWrbEqsxRRMCr6f/wkNq8F0XBLMgqyNRf+1h\nf1lGaUH0R9aXBUge15ziw+UcXZzN0jGrET0iVz/Xge8e/ZF77p6HWWekeW5r1A4N9nVmro2fCoAy\nVOlrjrx6+hZSJrUgPj2WtQ9s4/8lLEQTo6b7w15NX7laDiIU7Cpm4i9DWXXHb9iedyCTCTS52lvH\nlzQynuGf9uW7oSvJXp2Ly+QiLDkE0xkLtkI72hg1LUc359RKbx/RsxsLUOjkdLm/HRtn7qRgRxHr\nH92O6IGc9XngBnW4krheUex57RCIAupIFUqdgphukSCCy+pCjNXQ9paWIIe4vpEM/boXO1/OpOer\nHcmYtpXTG/IAuOqmlhxdmE14yxAs+TZSJrUgpnMkm57exZ45B739ZvUKej3bGVuRnZIj5YDXra1v\nosV6znbRnpzx/eKI73dBDze0uZ6bd48j88tjbPrXLgYFlJY0JqoizL8tzL8Q6qonW9W+qlMMqs14\nXC4XRqO3uW1tu580ZFlITb4jxSnhQvsnyc3ZmMeuKQITpIJp6AZes/qm4teGRKXjWSwWgApJRZfK\nEq0t0h5rT9pj7X2/W61WHhx+B3r9jCrHelvWRN/PQz7s5ft56H96c3jBCU6vyyd1mjfe5Xa4MWab\nGTAnDU2khqa9Y2kxril52wvZ//4xDCmhxHT1xmDb3tjSq8iz9BTWAhvRnSKwlzhw2dwVskxNZyyU\nnTCx+51MXFY3oQl6Rn6ZzvondlC0vxSXxU1E23B2/juTyA4GEvs3xZASyup7tzDm2wGoQpUcW5bD\nxid30OHGFGQqrxtf3VmNy+zm0KcnCG+pp9fsTvw4cj3mQgvqODU2m7dXqNvtJjRZR+RV4Yxc0A+7\n3c7hT7KJ6mDg7IYCnw6sIAPRLXrLaUTwuDzIFDKcZhcnfzlNUWZp0ObNP93wK31f6YahVShKvQJB\nLlxSCzMY/ibMvygaysKsD2FKE7sESdS9Ks3X6sYAjeuSDXRt+qsgSXHBS41gpCfFKcFLRHq9/qLX\ns7Eml6q6f5jNZp+12Rh9KP8Mie+B2q4LB65AG6th8/O/E93xFJZCGwW7z+G0uvA4PZQfN7Fswhq0\nkWrs5U4MrUNJHNqUPe8eovhgGW67G6fFxd4Ps3DZ3ZRnmyjKLMXj8BDV3kDSyHgyvzjGsmvXEts1\nktythSjUcuwlDooPlpI4oimbntlNfHos/d9K8/XFFGQCEe3CvRYw+ATKU29pzeZn99D/7TQypm7B\nkm9DJpcRlqRHRMTt8S6Q9K00xPSOYMnI1bjtbmLTotDEqohoF1ahJ+dvz+4hom0Yo75KZ/ur+3E7\nPIQk6Bj6cW+0UcEFKLo/ksqa6VuQqWQodXIGvXfprEsIbmEGKvT81XDFEaZ0cxuSMGvbIiow81Xa\nT1hYzbQjq0JjuWSDuYq1Wm1QwqrrsetzHzweD3a7vQKZ63S6Rs/OrQv8nz+pjMZfzLqqtkrwx2rm\nXN/rptDISR6TwPFlObS5PomQZjp6PteZn29aT5NeMez98DDaGK/FlTQ6HvNZK6JbZPKvI9j/gE/m\nKgAAIABJREFUyRH2vHOQNpOTiEuLIn5AHIfmn6DzfVehb6Ilb9s5Tq3K5YZNo9jywu/krMsDEa6e\n2dFn0W54YgfWIjtDPu7Fx7H/I65HNEPf78P2V/dRsKuYa1d4BfSPLjlF3tbCSuP378mZMqFiay6p\ny4d0Tzvf35YO0y/EIe0OO7rWaiasH+S7n9f/NsLnXQh0w1aFJj1juHZlRaF/KZ/gcgkXeDyeOlcd\n/BlwxRGmhIa2MGvi0qsq81Uqw6jPGKT91weB27vdbiwWi8/yqcpVfLkmbf/SD0kuqyoyr2rbwJ8l\nNCaRBnolBCF4C62akGhj1InWBvU5XuqtrfntvFVnL3X4WnR1fzgVY7aZxHFNMOdZsGTbaTMpiU1P\n72Lp2NUAqMJVqA0qOtyRQsmRcm7Lmsi2Wd6Epj4vd2HeslNk3PkbAPo4Lc0HN/WRJYDogfa3tkYU\nRdQRKpJGeZtYJ41KYOtLv/u+13pCInFpUSwZk1Fp/M36xtLjX52CXhP/eDV4VYucTqevHCzwvlbl\nXbDm2lg9fSuBV7mqY18OXOxd+ivhb8JsAMK8GC6W+Wqz2erVyLihXbKBbc1q6ipurEzXYPB3Z4ui\nWOu4b0OPp6FRFYkGxkOliTdwW8BXbyxZLn80RKUacJpc7P0oi3bTqq/dM6SEEnlVuE8Kbs97B6uN\nBYY00zH6fBzy+I85aCIuJKMtm7AGbbSG+PQ4XC4XKoOSpaPWEtJEi+mMBbfDw5IxGQz+oBdhLUII\nTdD7kpfqC4VCUannZHULI1mkwLAFvWpctnSps2T/iM9VY+KKI8xAl2x9iMofVT08Ncl89SesujyA\nDSk8IMUAJQtYEkmo7hiNmeka7Hv+SUfgXZH7dzCo7XH/DDE/8F7nYE1+A8lTeqYlqT8g6IT7R5js\nrvpHMpuf3cO0zGsAn3peBQiCQHSHCBIGNuH74atw2d00SYsipJmOyPaGoLHA9Fe7++KQqjAlQz/u\n7dvf+CWDK+x/6Fe92PLEXtxWD4bWYQz7pE+FmsbGRE0WRoH3VYL/vZTu7aUmTP957M/yHtUHVxxh\nSmhoCzNwPy6XC6vVelF3ZuA+6vOg11d4wF9LtS5dTxrTwgxmpet0Ol8CzZWKYCRqs9l82r3S5Fvd\nhOtPpA1xLRePzuDqpzqS0P9C+cOGJ3ZwZFE2txyeyLoHtpIyqQXmfBtlx4zccfI63/f+sddLnEM+\n7EXh0SJcdhedb2tHUWYpcWlRdJ3RrsKxYjpFcNPOsb7fk0Zc6I7hHwvc+NRODG3C6HB7SoXtRVEk\nJEHHmO8GXLRvbH1QGyKrbmFU1eIoEFIss7Hc9MHedYvF0uhyfJcbVxxhBvrbG5owA0saauLOvNzC\nA/7tcuoiPNAQi4/qtvXvdgIV45Rms/mSuoL/DJDOzd/9V92EK11XqEyie94+xOn1+Xic3n6NfV7u\nyqand9Hr1U6EtrwwOZ7bV8KJ5ae5+smOpN7SisPfnCChfxyr791Mq2uac/KXs0w7cA1ypQxLgY0V\nt25C10SDy+Imf/u5oE2qz64voPSokXYTW3NsySl0TbTEdInku2Er6fNiFxKHNqv2Omx6ZjdnN+RT\nesyIIBfQRqk5+l12he/E9Y6m40Otq9jDHwf+JCoRe+BiSLqvUFFQRHLLN4YS1ZVUgwlXIGHCBaJs\nSMKUCvn9Sxq0Wu1F3Zn++6jvGGpzLoHEDhfKMOp6/Lqiqu0DxRHqI5R/peNiE24wEi3NMnLsp1OM\n/XEAMpmM0oNG1ty3BU2E6nyrjwuI7hhBdEdv0o5/yQiCQN72IpoPacLXPX7iph1eazC6UwTtbkqm\n5Eg5vV/owt6PDvPd0JUg4Othue+9I7hsbuI6HOfQNyeQq+Sc/OUMLouLTU/vZudbmVXKx51en0/5\nSRMjvuyHKdfC8hvW0/6OFLrcd1WF70kC4o2NxnCVVuddUKlUle5vQypRXYmiBXCFEqaEupSEVAWT\nyQRQK8Fx/3HApVHqqUrMXRJNqA8aysIMJo5QVbeT+k5AVY35SojH7JqTyelfK1uP/eekEZasRxvh\nxHzWxq7XM3GaXVz9XAdG/diPjBs3s/uNQ+T9dg5VuIoxC/tjPm0l87NjDP+sL/O7/wAi/HzTenSx\nWnLW5DJgztVkfXuSpePXUHywlJAEPZZ8K4e+Pk7bKS3ZNScTc56ViLZhHJx/nHMHSmjaL4ZTq/LI\nXnkWQRCIaBuG7ZyN8pNmwpND6PGvjpxel19ZPg5o2jOamE4RqA0q9E21IIoI8qqzof9qHgeFQlFB\nnCXY4qih639r09rrz4ornjChbrFDKabmvzqtqeB4deOoDy4mPCA1y/YvaZGIvT7WdkNayFKSlH82\n8cViqQ2d6fxXmzyDofhQGSd/PsN1q4YDXpdqxr2b0USokclkKJVKolpGMHbBAPb+J4vT6/I4u7qQ\n7jPbAwIJQ+OQqWSIbpHDi04Q3dWAy+3CZrNhPmPhmuVD2PVGJk6LC6fZRcHOYgS5wDXLBvPDpHWc\n2ZDPwa/d2EocLJu4BkuBDZlcQPRAyeFy7KUOOj2YQs6qXFImJyFXy8nbWkjisGbk7yhCkAv8OGkd\nUamGoHWLcrUcuVqO2+lh9T1biOkShVz1x+sq09AI9i4EK3ORvlvT0qVAl26whcbfhPkXhb9LFmpP\nmIGZr0Cd+jn6j0caR0NvH0hC0lgDif1SZroGg8fjwWg0VohT1kZHt7a4EkixOqjClJhOW8icd4zE\nIU2J7hjB5LUj+GHiWrbP2oel0IatyE76a925ampL3FY3XWa0Y+GgX1DqFOgTNICANkqDx+Zh/wdH\nObenlB/GrkMZqgS9yNnNBYQ012NoE8Kvj20HET5p9R0ui/e96XR3W06tPosmUk3+jiIShzbl3N4S\n7GUOmg9q4nWzigIRKaEU7i3GUmgj88tjeFwi5afM6GI0dLgrhbBEb4b0lpd+5/S6PBCg94tdiGof\nwYpbNhCfHofHdXk9Bpfakq1pclFtMnT9Y93+oSjpu3+7ZP/iqK2ebLDMV4VC4dMErS/qK14QLFPX\nP1nmYgk9l8PC9G+XJWV21jZO2VjJRn9leOsU+7Pv4yy2z96HUqug57PeQvikkfG0uT6JFbduZN2D\n2+j/ZhoAhlah4IGwFiF0mtGWfXOzkAkyiveVo4vU0nyghvTXu/N5yhKir4pA10RD+TEjCcNjUahl\nyNRyrt89nNXTtlJ+woyg8dZX5qz1uoWPfH8KS64VTbSaTtPbYi63YCtxcGpVLr1f6MLa+7fSYmQ8\nphwzpjMWHCYXRxZlM/Tj3hT+Xkz+ziImrRlB+Skzy2/4FUEh0HVGO9pMTmLbrH3VClT8VRZQDeFt\nqWmGLnhzIebOncv8+fNp1qwZBoMBnU5Hamoqqamp1XYusdlsPP744xQXF6PX65k9e7avZ6uE//3v\nfyxYsACFQsH06dMZOHAgoijSv39/kpKSAOjatSuPPPJIvc67prgiCTOwFvNiD1lg8ol/5qtEnpdb\nqcf/hQ+WLKPVai+aqVvfeG5txh+snjI0NLRRU/v/xgWUHTeiClMx+H2vKHrB7mJ+uHYt+mZan8h5\nfP84rEV21j20HUeZkx+uXYsqzNtY2R/WQhslh8txmp2svMXbJkw0QY+nOrHrrUxMxyyEtw4lsl04\nGTduwZxnw17iYONju4juasB6zoa91Em/N7uyc3Ym5jNW1j24jWELeqMKVZC18CRytZyhH/fm8Lcn\nObe/FGWIgh5+UnfaKA3jvh8IgPGUCafFhb3ETubnR8n8/CgAgz/oxeXCpS7yb6zkIun9lFrIKRQK\nevTowf79+8nKyuLMmTMcOHAA8M47CxcupF27dkH3+80339C2bVvuv/9+li9fzocffsjTTz/t+3th\nYSHz5s3j+++/x263M3XqVPr27cvZs2dp3749H330UYOdY01xRRKmhIsRVbAEmcDM14Yku/ruQ8p8\n9U+WkeKUtRlDY8Zgg8Uppc/rQpZ1jb3+2SyK8eNLef55Pd27K3E4RJKTi3jiCR0zZnhLO0aPLuW1\n10Lo0KHiK223iyxYYGPaNC2vvGKmSRMZt9+upehAKQc+O8roBQOQK2UYWoWiNqgQZEIFGbZmfWJR\nd4jl38+WszAjhc9SvmfCj0N8pUhJI5phaBWK0+yi+6PtfT0uizJL2fjUTtw2D8ZTZlx2N5ZcG5Ht\nwjmkaUaGIR631cWENnK6hGeRu7GAxDFN2DH7AKpwJX3f7ULW1ydpNbk5vV/sgqPUyQ/j1jF165gK\n57flpd/JXnmGshMmwpNDsRXbMZ+1Et4qlE73tv3DyMddKlxqYlYoFPTp04c+ffrw0ksv0bNnT0JC\nQjh48CAFBQXExcVVue2uXbu46667AEhPT+eDDz6o8Pe9e/fSrVs3lEolSqWSFi1acOjQIXJycigo\nKGDatGloNBpmzpxJy5YtG/U8JfxNmFSe6AMTZKQi+WCZr38EwpRcJuBtu1TTZJmGQk2PUZWL2GQy\n4XK56vyyXwlu1UGDVGze7KR7dyW//eZk6FAVK1c6mDFDh80mcvq0uxJZAuTlefjiCy9h+l9aqcfl\nwoG/oNIrET0iff7dlb0fHq6wvSBAdATc1a0ASKksxSMItL+9NWsf2Mbi0Rk4jE463tUGBGg+qCna\naDXFh8rQRmkY/llf3G6RF9NKWL/NQPm+IgaMsZCUBmFJoSzqvgprkZ2QBB2bHtpD2XETznInWfNO\nEtY6BLfTTfHpErRRGuRyOWVHTRz65jiG5FAi24ZRfKic2K6RhDbXYSmwc9WNyRe9rpfKJRuoivNn\nR7B3zmg0kpKSQufOnRk5cmSFvy1cuJAvv/yywmdRUVG+Mja9Xl8pU99sNlfofKLX6zGZTMTGxnLP\nPfcwYsQIdu7cyeOPP86iRYsa6tSqxV/nDtYCVVmHElGWlZX54pJarRaDwVAl+TS0O7W2cDqdlJeX\n+46v0WgwGAy1ztZtTPEBj8eD2WymvLzcF6cMDw9Hr9df9klEGpskCdgQLvbGwKBBXqIEWLXKwbRp\nGsrKRMrLPWzb5qRvXyUpKUW+70+f7mDTJidvvGHh8GE3r77qtQh/+snB+PGl9OtXQmH71kzZNBph\nen8+5Gqmv6tnT1pPDClhvPKKmaeXxvD0mgTMsVG8mp0KwMdRA3j8cRPXXmtjTk4qhqvjkCll/KTr\nwLvW7iyO78MdH0ZwJh8QvSLnLc6r79jLHHzd7Qd27DAQGipjz3dnEQUB45ES9E20RHeMoFmfGOK6\nRSETZMjVMlpOjOe2k9cyelF/Wl6TgDJcgdvtxuFw4MKJKlzJ4Hk9aHV9IgqdnLFLBzJu6WCUOgXI\nLo2ltfOtAyy9Zg2LR2ewZOxqCnYXs3h0BqXnG0RLKD5QxvZX91XafvW9mzmVcbZBxiKKIsaTZr7t\nvbxB9ncx1LQOc/Lkyfzwww8V/oWGhvo8FWazuVK3ppCQkAqiKtJ3OnTowODBXnnD7t27U1BQ0NCn\nVSX+tjDxTpqBma81Vby5XBZmYCcRyTVZk04d1Y2hISHFKQO1aQNdxA3lDq6LjJ+/cENgJqDFYmkU\n6bi6oFMnBVlZ3mdz0yYnzz+vZ+BAJevWOdm/38XQoSoyMir3JH38cR2ZmS6efFLPK6+YiY+X8e67\noWzc6ODtt6306qVk1iwz69dHoNEI3H13OWvXOhAEaNdOwezZIWRnX8gGN5lEJk9W8/zz8MADDlat\ncqDRCJSUiKxdG0FRkYeuXYsRgGPLclAblOibaik+WM6p1bk4zS7+G7+Q/cSy2JpCx5BSZDYX7e9I\nIXlMAl91XYahdRgj56VTcOwcSwas4YfsdT7LNSQkxOdRUbZSEtkunMXpa3CUO4nuamDxiAxEj0ib\nW1qgjJHhcDiqVbepr4VZXXmO9DZLx4jqYCDh6iCtuwQhuIhuLSGKIscW5XDokxNYixpXjKEhhAu6\ndevG+vXr6dSpE+vXryctLa3C3zt16sScOXN85XvHjh0jJSWFuXPnEh4ezp133smhQ4do1qx6xaeG\nxBVJmIEWpuR+heo1X6vb16UizKo6idhsNhwOx2XRow1mqQfGKeuiTdsYkMbmv3LV6XS+pCeptyYQ\nNJ3+comYy2QCHTooWLXKQVycDJVKYNgwFT//7ODAARfTp2uBC+ck3Ub/2ykI0KWL95WPjZVhtYoc\nP+7m3DkP111XBngJ8cQJL0G2bh38HejcWYHTaadZMxk2G5w65aZHD+9+o6JkpKTIATetxjdn+Gd9\nK2ybu6WQvR8dZsSUltywPp93NsawPzeRG1K8rrfmA5uSu6WQxWMy8Ljd6OI0jPoqHU3khUQjqabw\n+PenkSvk/GPfeOxlDpaMXM2IBX3RxqlrrG5TX09CTcpzXGYXfd/rgvWsnaPzcxj+WV++aL+EyDbh\nRFx13qoSRTwuD+se3EbZcROiR6Tns53Qx2lZdfdmJq8dAcCKWzfS5YF2xHWPCjoetUHF6CXpLOq1\nql7ndTEEI0yj0Vir5tFTp07lySef5MYbb0SlUvHmm28C8Pnnn5OYmMjgwYOZNm0aN954Ix6Ph0ce\neQSVSsXdd9/N448/zq+//opCoWDWrFkNe3LV4IokTLiQ0CP9XNMWVsHQEBJ7cHHhgWDWWqD03uXQ\no/XfvralLP7bNjakvpn+BKhUKlGpVD5LU5pIPR4Per2+RoLXwXpSXuyc6nKdBw9W8sYbZq6/XgNA\n795KZs+2IJdDRIQMp1PEbBbxeESysjznxwbScIMdMilJTkKCnGXLwpHLBebNs9K1q5IffrBT1S0L\nPLV27eR8+62df/4TSko8HD3qDr4hoE+N4umVzXjefgw5Iu5CHZrwC89wRNswQhJ0dHsklZK8Ug5+\nfAJ1xAWPxPZX93FmfT4A5lwrTpOLZePWMHBuT+QaOTKXzFcPHUxnNZi6DXg9DXWRiKtJec7WV/aS\n/WMucWkXSM58xsoNG0ejiVCxevoWADI/P4Y2WsPg93thK7KzeHQGU7eOQaGVU3y4DF2MhvJsc5Vk\nKYoiCUPj6jSHNQTcbnetjq3RaHjnnXcqfX7rrbf6fp48eTKTJ0+u8PfQ0NDLkiELVyhh2u12SktL\nfb8rFApCQ0PrVQTfWBZmTa21SymvFwySakh5uTduU5cFSGNluwZa5UqlErVajclkwu12Y7PZfBOl\n0+n0EaL0f031V/1RHYnW9XkZOFDFjBkm/vtf1fnzEDAYBDp18l7jf/5Ty5AhJSQmCiQkeI8VGyvD\n6YTnnzeh0QgVyE4QvBbhffdpGTmyFLcbWrSQM2mSxvd3/+8GgyDAyJFqVq1yMGxYCXFxMnQ6AYXS\nq+daofGyIDB20UCuGSbw7MpE4jqF02G0gr4Ht/q+IiUQLRmzGlupndTbkyvc46uf7MjVT3YEwO30\nsO6BrZQeNZJx52+0vT4JQ+sLcbBgbthAEpUsUP9WaMEs0apItCblObo4DWWnKya0aKLUXk1ePxRl\nlpK7uZD8HecAEN0itiI7qbe04tD844Qm6Gk7JSn4jbjECGZhXm7v0aXAFUmYKpUKuVyOSqXyZZXW\n52bXt4axKrKrjbXWUA9rbSdyKVFKQk17aPqjoVSGAvcjyRdaLJZKVrn0fX9Pgz/8JQOlfUn/IDiJ\nXqx/YaAbsLbu88REOaWlMRU++/rrCzGjJ57Q88QTeux2O06nE61WiVwusHFjRKV9tWmj4McfvUXl\nN9yg4YYbNBX+PnPmBRH+Fi3kZGR497Fvn9e6cTjg6adV6HQajhxx0aePkjffDKWoyEOvXiW0HxlL\n1/HXBj2Psd1tTBqupt1N0rguNGeWq+QM/U9vRFHEbDZXGxqRK2UM+ah3lX8PhkASlRaiGo2mxjqr\n/iRao/IciVz8CnaEINZ7RJswQuJ1FcpzNFFqWk9IZPe7B9FGqRn5ZXqV53YpRRgudfnKHwVXJGHK\nZDJfRpZUOlIf1CdpxX8f0jgCO4nURP2mMeX1qoJERv7EEB4eXudrIB171KhzvPxyGGlpKhwOkYSE\nXGbODOXhh73xkWHDCnnrLQMdO1YkZbtd5OuvLdx2m54XXywlMtLFTTd5ZyZJDlAiN1EUCQ0Nxel0\n+tzcAIWFIm+95WTWLCq4aaV/wUhUun7+yUzScd57z8L8+Q4kAZNXX1XSqpV3TBIh1LVjxB8F8fFy\nnnvOzAcfWHG74aWX9Kxe7eC996yVvtuXU3RUFTH6fwNqvH9/N6w/Bn/Qi7AWdWscHohgEnFV6az6\nk2jTodEUHihm4YCfUYYoET1UWZ7j/SHwgwu/By3PwauLG983FmuRHbWhho2tL/Ez9EfLKm8sCOKV\ncqZ+kCwPgOLiYuRyeb00EI1GI06nE4PBUOcyidLSUkRRRK1WV+okUpOCfkmwICQkpEZCBYGw2WxY\nLJYabR+YoatWq32uzEBpq5pAaosWFhaGQqHgjTeMKJXw4IOhrFlj49NPLRQWulmxIgabTaRLl3wO\nHWoCeLvEOBwOwsPDyckRmTatmOXLdcyaZSY2VuCOO3Q+q1wiSmlxIiVKgXfClLRrpUQfaYIM5j3w\nJ1GJ6PwtR+k499xj4v77tXTufKGZs0TQVblm60uiFyzMmiev1Qb+1l9d9ZMvBkmtSrovjQUp+asm\nbe2CkWh190+6h9I9l0IBdcH6x3bQ6prmxKdXLQTgcnnF71UqVZ3mgNrAZDL5PDbgfYdvvvlmVq1q\n3GSjy40r0sIM9Ls3pIVZF/i7+6R42qVuEeY/lqpQVYauQqGgvLy8waT1hgxRM2uWkQcfhJUr7dx6\nq45nnimnvNzDrl1O0tPVJCXlcvKkN0V/+nQH995r55tvLBw86OTVV83IZDJWr4ZffrFSVGTmuedC\nGDlSzfff25g714wgeOjRQ8Yzz6iZM8fD9u12rFYb778fzr33lrF2bRQ9epyjf38V+/a5EASYN0+P\nTufm8cet7N1rIyZGICdH5IsvVCQkeCdHqWmztHDas8fFG29YKCjwMGyYkkce0fmeOb1eXyNLJlhM\n7XLXr16JEISLi5VX1fED8N3T2rbNWjZhDdpojY8sq7K4+7+bhiqu8af0higp+bPiiiRMuECUkkVR\n331B3eJ/UkKPv/BAXWopG9MlG6h8VF2csj61lBI6d1Zy+LA3brtxo52XXgpj8GA1a9bY2bfPyfDh\nalatslXY1mazcv/9cOCAjKefDuf11+3Ex7t5771w1q+38/bbFtLSZPzf/xn5+WcVGo3AQw+52L5d\niULhol07gddeCyM7+0IGrckkcv31Gt54I4zbby/l119FNBo5ZrOCDRuiKChw0rVrCUqlEplMDFrG\nMGGCnLvu0hAeruCmm4z8+KOZwYMFX/xUup7+E7E/iVYVU5NINLDE5W80HM5syGfFLRuJbHeBCDTR\nGkZ+0c/3uyBULVbuf++kzwLj/dL9M540s2LaJqZurij9BzB+yeAKv/snPvlDaoZ9OVz6fxPmFQKJ\nOOsbf4TakVVgQs/lFh6oavtAQYeqen42VOIOeGsOO3VSsnKljbg4OSqVwPDhGpYvt7Jvn4v77w8B\nynwEIoogih6USjVyuee8O8ruqzmMiREwmVxkZpo5d87DP/7hRCaTna859C6WUlKCvwqdO3vd4QkJ\ncmw2yM520aOHd6EQF6eibVsFWq2W0FC5j+j8/91+uwydzpuBOWgQ7N3rYvBgpc/NXpU7N5BEqyuR\n8L8HgUlFf6N6SNc6KARIGNiE4Z/2Df73KhBIohKRSQvMwMSwY4tyOPjJCaznvGGRutb5Xqqkn2DH\nuRJ6YcIVKo0HlcULGmJfNRUeCJSJk2J3Nd1HdWio7d1uN0ajEaPRiNvtRq1WYzAYLkroDVUaMniw\nmtmzjYwc6Y1f9e2rYvduLzkaDAIOh0hubik2m5usLA8ajRadTovHI5GLdxx2ux2z2YwoirRo4a05\n/PnnaH75JYq77tLRo4dEXFWNreLv7dsr2LbNa+V5aw4r9ghUKBSo1Wp0Oh0ej54hQxxYrd7rsmmT\nm86dvZOolDBlNpsxm83Y7Xbf4kmaMHe+eYCl41ezeNQqlo5bQ9HeUn6asB77aSd6vR6dTodGo6H8\nsJl97xwBqBBzzbh3M1k/nvDFaiW93rpgy0u/s2jwChYNWUHu1sI67aM2uJQZn1UP4vw/P9jLHMzr\nvMw3vt+e283RxadYPDqDFbduZNk1a3A73Ky5bwuLR2Xw/YhVnN3kvV4ymQyVSoVGo0Gn06HX69Fq\ntYTE6Bm7tD+IF1THJI+O2Wz2xfidTmeVcdNLiSuZMP+2MBsow/VikOKTVXUSuRxZrsG2l5ItpMSj\nmtZTNqSFCV7CvO++Uj7/3Ft64K05lNGxo4yysjLuvFPO2LH284X33vrCmBgvkT73nAm1WsThsGOz\nSSQko0WLUGbMUDJ8eLGv5vD667WAvRY1hxpWrnQwZEgRcXEytFqBYJfG4/GgVNqYOVPOddfZ0Ghk\nDB6sZcKE0EqxLrfbjcvlqiCoUJZl5Pjy00xcMQS5XE7R/lKv5JpBhccv01cmk9GsexzNusdViINL\nNbsiYoX9es9DCJpYVBVKsso4/Wsek9aMoPSYkZW3bWL08n5Vfv/Pgpq8K4G1pC1GxNOsdwynVuXS\nfEgTTmXk0vPZzuz/bxYpk5NIHpPA/v8eqSBA8P2oVYxfMzCoV0Yul9NqTKLv9+rEMgIVpwJd8pdz\nkfG3S/YKgT9R1DUGdLH4n38toCAE7yRyuQlTghRjqUs9ZV2PH2z/LVoosFjifb+7XC4++USJy+XC\n4xF56qlQXnxR6xNNBwcOh4uMDK2fhemtlezWTcMvv3jv7ZQpWqZMqZjZ+a9/hVQ47po13lrDzMwL\nNY8vveQtacnK8tYcvvVWGEVFHq6++hxRUReeG+l+SwuOSZPU3HxzeIUFhzTB+ddxBrpzlWFKTKfN\nDOuZz7+eVdF7qJZhi9NJbWtm0m2nGRaRi8vi5mO68+QtLlzrjjLskz7M67CM8JQQdMkSl6ilAAAg\nAElEQVQhrD1pYLpaw9tzRMp+PUUv+RlEj0iXJ9qijdWwccYuxvzUH4Bf791Bp/vaENc92jcJFxaK\nzJ5t5oUZclxWN267G0e5E5mqfo6pGTOMREYKvPBCw5SE1BfVPd8J/eOqlPcTPSLNBzVBrvRej4jz\n8n5FB0rJ3VJRgMBe4kDT9OLZvv7u3JqIZQQuhgDfZ40l21hV0k91zaL/KrhiCTPQJdsYSj2B8b/q\nEnoup1JPoLZqVXHKmhy/Ptcx2LbBVHp0Op1vRa1QKFCpVFWWgEhKPv7Zq/W5VgkJcp591sj771tw\nu+Hf/w4lI8PO3LkWH+lJ+Oc/dUyYoGfs2BJeeinU18uyRYsC7p0s0mzpeiJTDbzyezI3tzpL2yQY\nPc9LYLo2OobPH8i3t5Ty1QNn+ESuILRrNB0MNg7YI3j12xZse/UwJ79w0qq5m0PnSdd81sLYlf0p\nMCrIGF1Knx/z+Ha+jV7qMpIejaf9La1ZPDqDGzaPQqlTYjphRROlwpRjIaJjWAUx+pAQGa+8okQm\nkxHZLpz53X9kyzkDe5p24sNr7KSmynn33do9J59+aiUz00V6+p+3UXjTXjFseHInB+cdo+dznX2f\nS9dBkveTBAh2vL0flaF2C09/XIxE/YkUKqoW+cdCG+L5l47tf77gJcyEhIR67ffPgCuWMCU0BmEG\n1inWRND9cij1BI4TvIRUl9q6hl7JVpWZq1KpKogPSKUcgfqwgiBUINFAxZZgdZQ1gU4nsGBBReUc\nj8fDwIHSMRQolUpfTSfA4MEqNm1y0L27kk2bHAwbpubXHTaeGNSUgR/147nu53h4Q+sK+yw7YaLc\nqaI8LILoLtG0iXGy/MsiRicUsEqIwG5XcsIWRod4G4Nv1TF3gHdhsUDRmZSDchYv9pBTpuLbpdA3\n1cW+ozHcMwtsr+czNjyM8UU2zrZvyzWT7Cg1TjoldWCyTscrr5jYts2FxSLy+utKHnnEwTu3neOR\nFYkMnNCOhQvcJJ4t58tPw3hpjsCkSWUUF4vExcnIznazYEE4iYnBn/OtW53s3Onittu0HDlS2TIK\nvP/QuO7Fix5DqFrer83kJI4tPUVk28puyEABgna3tqzZedRygRqYnSuJiEjviL816o/6kmiwOeZv\nC/MvjsawMKWEnmB1ijXdx6VwyYqi6OfKvFC0bzKZGmz1WRsEjr2qzFxpEpBc21JBuESWUkKF/zn4\np/j7ixEE1sn5E6hCoahRnVyg+1Wqnw2834MHq3n1VRMzZuhZudLOLbdoeephGxaHjK1bHfTrpyI5\nuYCDuw182285a7oNYHQ7E/+dU8xJVyynDttQtyrhlMvAL4VyzjpdPJCehcfkQhOnp9Qo8MKGJIa9\n4gQBFixwc/KkB48H0q+yMGtbLKnqEgrjYumQqmTeuhR23WSnqEjPgxHbWFyaxE97ojk8rJSTJz2M\nHKni/ffDOHnShUzmBqeAzSPn+usVPPqIgrsHOli3zsOZMzIUCjc//aSlpAR69XLi8bgRxcoTcF6e\nm9mzzXz9dThv3X2crN02Fm/LRZAJ9Hm5K5ue3sWgd3pgSLmgBVt8oIyzqwvp9a8uFfa1+t7NpExq\nQeLQ+rd1OrrgFFlfZSOIAsnjm9P9kfa+v8X3i+P2Y8Hl/USPSOqtFxY5E36qLO8nQXpGL/Y83ZY1\nsa6nAVx4j/zDKFVZog1Bon+7ZK9ANFTsD+oX/7sUhBkYT/UXSKhvKUJDJf1Iyj3gJUD/1lv+iVk2\nm813vaUEqmAWvP9KXEqwClb+EaxEI5glKsHlcmG1Wn0Tj0ajqVJoonNnBVlZXlLftMnJiy+G0rsr\nrFlpp2T3IZrpbNhKmnHgsyM06x2DOdtK0ztiGPbBbvLcesKwkH1GICJawYMRmeyISCEjvxkGg42z\nR5yEh4m8NDCbJUVdMXpUOItdCHvyiENH8Y5zCEISCXIjB3PC6e86Rqv4Fmg0HvLyPLym6ESpRUZy\nOznXXKPm5ZcttGghP3+9PYBIu5tbwTMFnH1hKwV4aNXpKjb+ruT0ATMDogv5+dpC5Fo5rVt3wWaz\nYTY7KiWkLFlip7hY5JrRRWQfUKGIMTD25lYM72it1D9SQmT7cJp0jQm8nF5LLMh1rkndpD/KThg5\nPC+bsUv7owvVsfXfe/G4PMgU1cdoV9+7GdNZK9ZzNvRxmhoR9+9zDlOwuaTSsBtS3i/Yu1tVnWiw\nWt9AEvVPDvNvIvC3cMEVjPoQlb/wgIT69n1srJTxmtZTXs6ylkBJQIVCUcH9CvgsOv8EKskirCmk\n8o9gYgGBWav+rl5pAvGfXALdr8Egkwl07Khk5Uq7r5dl/zRY+HtTTPFxvPeVge+6n6PbQ+05u7mA\nsltLyd/uoeW4RKIzI+hYUsIvxuak99fQPLwpuavPUHA6HEHjxCqosJlkvJvfCZPJiTk6EkHwkNxG\nidEYwlX9ktCu1dL3yW6sfaqI8S+mcOhzOa1bCxw96iE9tpymnUNp2kFG585uIiMFQLLiZYCAQiVH\nE6VmwvLBKBTw3tAyHMUexhuyKUzrxLWfdaW42MWD3cpQKBTnW4pVnIBvvhmmTVNjK3DwdP9TyK5K\nZNwADaHxwftHDv5/PSk+VsrR+TmM/CK9Rv0jW01oTmz3KKzn7BX6R+bvLAraEuv02jyiOoXz6/07\nsRXaSXus/UXJEmDIR71ZPX0LthJ7jdyooijS+eG26J/RX5IM1ppYhlLNroRAEvX3ylS1b7fb7bNE\n/ybMvzjq65INFB4A6qV72RAWpv/qT0KgkLtktTW0KkxdJwKHw1GpmbNara5AlJKFabVafYSvVqsb\ntCF1MBINLP8IJFC4kFQUKNAeiMGDVbz+uokbbvDGh7u3h9dK1EQ38/aydLlEzGYP0d1jyD5n5uSK\nM4yc2QbPCx7aR5j49Ki376ReraX5UDXaRQpGT9awaomVG+7S8/33dhQKgeRkGeBBr3AjqBV8tlwJ\nWnAYnbisbiKSQpHL7Rh/L6Kl2UrG73rM++R0iCggbqKZc7lN2fn6UT555xS2JgaK81IozPJec1EU\nmTHDhNPp4ZYbRFTvF/Dj9rN0T1DTop0WnU5JSIganU5eZWanKlpBuzuT2flTGd8N3YFCJydtZgc8\nokjiiKa0vb4l22fv5/jS0xg6hvjEymvSP/J/A3+hSVo0TrPL1z+y7LiRlbdv4uY94xAEgd+e201s\n1yj2/b8sbMV2yrNNTNkzmq3/2svyGzcQ3dFA7xe7EN+vas3W3e8epGnvIJbvZUZ9S+NqSqIS7HY7\n9957L+fOnUOr1bJw4UI6duxI+/btL+qetdlsPP744xQXF6PX65k9e3ZQHeri4mKmTp3KDz/8gEql\nqvF2jYUrVrhAQm2Jyu12YzKZKgkPXOpxVAV/16rFYqGsrMzXHDcsLIyQkJBq24NdKgtTEkYwmUy+\nbdRqdYWkHglWq9XXu1KhUBASElLrLN66QCr9UCgUFcYjNZ2WLGCp44kkSGE0GrFYLD4xAlEUGTRI\nzZYtTkaMUJ/fh4Cs3ELUyVN8N2olA0Ny6ZaUzU1TS2iRJMde4sC49QyFh8r54Xc945qcRSwp5fjS\nHEoPlhPnNtJty1b+McrFz0stiGVW2rRRsHRpJPFxUH60nLvL1jNQkY0yrwT1BxnI1TJCi0v56UcD\n5SdM3PRKK17ve4yxgwVIjuW/m+MID4G3917NjbvHEC13sOlIHLp4DXNHHeXd9I3M/8qByu1k0RL4\nUN6TtuObsXFPE0YU7MbpEImIuKBkIwiCzwKXCvUdeW5unKLmP78mcf3OEaTP7cbGx3ZhK7YT2laH\n2WxGGSnHYT6frSt6n6mq+kdmrzzLkjEZ/DJtA6JbJGddHtZCGz9MXMuiISsISdD76iY9bg+nMnJp\nOTYBQYAmvaJpfUMixxfnEJqgJ3FIU3o+05n1j+6o8pnIWZdH2XEjqdNacV5i6qLP0eUWGqgrJAKV\nROO1Wi16vd43f6hUKlq2bInJZOLYsWPMmTOH22+/nZ49e3L//fdXu+9vvvmGtm3bMn/+fCZMmMCH\nH35Y6TsbNmzg9ttvp6ioqFbbNSaueAtTuvkXe6ilBJOqOokEs+7qMp767kPSq/Sv+5SyS2viqmns\nGGawhCO1Wo3ZbMblcuFwOHwxE3/3q0wmQ6PR1KhzS0NBuudShm0w96u0Cg9MKArMzI2IkFFQEI5c\n7sbthvh+sWwpuWDFXOd33F1v5+KyG8heeZq9Z4ZitUZzbl8JGx/ahSJSw5R3OvHPtgYgBYBHA8Z9\n/02w3wZyTTzDJifx5NBmQFtGbS7g9w8PoVSIPHijh/Rpet77RE36KA2fzIhi6b3HuTczjk13/IpC\nJoIICoeSnE25lGWZuG9dL+4scbJ83GbG/TQQq0nBjMecjLneQWlpKg/d5mTlShsfflhZz/SeezSM\nGaOk+EAZB7845u0fqZHRpL0CTYQKmVyGQin3PcOSUpP7fCIdgjdrWi6Xn7/mlftHrn98Bx6HhyEf\n9WLh4BVoo9QM+aAXxYfKgtZNNh/ShG3/3ovogsLtxZSdNGErtnkbNxfb0URW7ixycN4xTDkWlozJ\noCSrnMK9JeiaaInuULnnaCAae4FXrcxfA8H/HFQqFc8++yxPP/0048aN45lnnuHAgQMcOHCAZs2q\nj+vu2rWLu+66C4D09HQ++OCDSt+Ry+V8/vnnXHvttbXarjFxxRKmhIsRVbDyhmCdRBqKMBsCkouz\ntkLu9RlDTa5jVc2cJetNKnMJhEqlQq1WXzJxcWmsdru9wj0Plu0subKC9cIMTCjyr3GE4OUtGff8\nhjnfxoC3r2bffw+z578HaTYwhrgu0UxZP5plE9eybdY+LAU2nBYXIz/vx7bZ+zj5y2ki2xnI21qI\nTCnD4xZpOSLeK7fm8rDmgS2UHjdSuLsYc66FtMc6smDAciLVShat8PDO6ydAGcf942yE3pjOO3NM\nGK1mvpxSjvmMDISrkK2RM2FCGNooLTnfF3ByxWm+/qYftjI7y0ZuZuSdfVFHeBg06MIiMtBV3fqa\nREqzylk48BeUegWiW6T3S13Y958jqFVq9Ho9apUah0Iqvj+frSxcqC90uVzY7DaSpybw26O7+X7U\nKpxGFwkD4zCfsVbqH1lV3aQhJYzWU1uQ+Z9j4IFB7/Sg5egEds89iDoieHus4Z9cEDFYPX0LKZNa\n1IgsGxuXw4oNNDqGDx/O8OHDK31v4cKFfPnllxU+i4qK8rVU0+v1GI3GStv16dOn0mcmk4mQkJBq\nt2tMXPGEKSHwgfNP6JEm9OoK+qWVcV1RHwtTilNKx69J3WdVaAyXbGC8VyJyyToTRW8zZ5fLhd1u\nr3QdHQ6Hz/L0L/1oDCUTqaegv9hEbdqswcU7WFRX3tL7rc4IgoDL5WLQZz04/PkJ9r6dhVKnoPdz\n3vKKlqMSaHtDS7a+8jtHF5+i3U2tcFvdjPwinbmhXzHqq3RW/3MzZzcXUHK0HJfNjcfu5h97JrDr\n7QPseGM/SSPi2TnnAKLVyQevCPz66EEmrRrB6vu2YHznBNOMDtrOaEHKjQbyN5nJ/M8xxo9rTvlJ\nE8UHS4nrGoUx28yyUWsR5AL9/q870YlRF5X8EwSBDg+0psvDV1WI9yaPbQ54rfp2tybjcrlwOp0k\nDUpAoVBwW9a1Pst94HtX+8qL+rx9oeQkf3MR6+7ZwfejVlF+3IgmSsOSsaurrZtMvTOZjne2YdOj\nu8n88hh73j9Ex7vaNOhzVZ/YYm1xKY5T2/OZPHkykydPrvDZAw884FvYm83mGoe1QkJCMJlMtd6u\noXDFEqZ/0k+gdRg4wUv++4tZONLkX5eHti6EKYoV9Wkl6PV1y8arD+kHO97FVHr8jyXFAQGf+1Uu\nl1/U1VkfEYLAsdrtdp8VWJPs19ogWHnL9jf2kbM2F7fTAwJ0fyaV7S/up/drnRHkAqowBX3f6krp\nQSOHvzzJmhlbCWmmI7arN8khe9VZwpNDiUuL9h1HE6UmeXQCyScns+qe32gzKYnjy3M4u6mApRNX\nY8oxowpXYS2y0/7W1hTtLyV/ZxFXTU3GmGOmYE8R41cP9FrZJU5W37QNj8ODvdTBomEriO4QQUyX\nSLRRatJnda90nv6Sf9J1le7dhAlG/vUvBZ07i1gsTjp2tPHQQwruu0+NXC5nwgQLr76qp21bscI9\ntlrdLFhgZ9o0Da+9ZqdJExm3316xl6jb7aZJn2hu2DuCVVM3E9c7ivT3uiMIAtvf3MvOr3P5pbw5\nstEZvsRWmdL7g0JdsW6ypuj9Zk+uuaaUDxJdVXa7uVS4FEIP/sfyfy9sNlutG2N369aN9evX06lT\nJ9avX09aWlqjbtdQuGIJEy64UaX/g03wVbnigu2rIVBT4QGHw+GzKqU4pX+SSX1Iuz6QFg2Bbmy9\nXo9SqayU/XqxesbqXJ3+ZOoP/0bOF2vW65+0czH3a0Oi6GApJ38+w+TVIxFFkTM78lj7z22oI1TI\nBIHyIxYOfXGcwZ/3IPyqELrMbMuZ9fl4RA8msxmVWYFH9OARPRUSTwRZ5fOMbBNOSDMdpUfKEWQC\nTXrEoI1S03piC3a9nYk2Sk2rCYksn/Yr1iLvdVCr1eyeexh1qBLjWQuWfCuqMCWF+0so2l+CTFmz\nhYS/bu6wYS727IF+/XSsWWNjyBA3a9d6mD7dg8XiJifHTXKyA4krJQs9L8/DvHneRuKCULEYP1gv\n0XGLB1XIzi07YSK+lZKvv2iBTNmyQjZoVd0/qmrSLNVN7trl5OGHTeTmXnyBeSlii5cKVan81NbS\nmzp1Kk8++SQ33ngjKpWKN998E4DPP/+cxMREBg++0APU/939/+2deXQUVdrGn053OjtBwAAiEEDZ\nDIsJqwIijKLyMbLFMfgdRozAoAE1EhHRYREh4ycqjmERVBQdQSGOh01kG3ASFQQSIAgIsosEWZJ0\nlk5v3x/xVm7fVFVXVVd1Z7m/czxqkuqu6q66732355U6LlA0aINJ43a7cePGDQA1J4kogfYQjfQw\npcKbJpPJa1fuD1qugfy92+1GcXGxT5UeUvwjV1Aj9h5ioU6tIgQklO1P+FUrYbFWlJwvxaEPjuPm\nuxsjpmMk/mfLPdjx2A84svgUygorcONkCTbctxumEBNKL5fjnsW9sOPJ75GTfhDNejaGx+2By+lC\nSYkNl/YV4vM/bUHFtQqc/c+viLklCqe3XEDH5HgkpN6Oj3t8VVXE4gFi46tyR5YwM1oNiEPplXKY\nm5gwbN1dyL5rB6Kjo2E2m3Hp+yt4+MshsMZasWHsThTuv4rIuAiM3nK/pmb7asWjEOzY4cQTT0Tj\nlVdK4PFEIT+/DP36haBnz3Lk50fC4/Fg0qRyjB9fifXrXTh2zIX5828ACMGmTS78+9+VuH7dg1mz\nIvHAA1Z8+aUdS5aUIyQE6N/fgrlzY7BgQSl++MGB8vIEvP12JEaOKcWmTREYPLgU/fuH4KefPDCZ\ngA8/9CAmphIvveTEoUNuNG8egnPnWmHt2q6SMn8OB/CvfzXCpEmBzaFJEUgPk30fLaO9wsPDsXjx\n4ho/f/zxx2v8bMeOHT6PCxQN2mAST4h4N6QRXkt/n15VrlLHk7FbdMgwMjLSy3jopRakBfIZiqn0\nEI9ASqUnPDxcs0cnJ0JAe6BiPZQEOaUgo4hsEY6hH/dDwYqT2Jd5uCpHOftOmEJMXjlKS4QFzXs1\nw5GVJ9B5dAds++t3eHj9UIQ1tmLb5Fy0H3Urin4pQdsRtyDppa6ouFaJrWNy8PCue9G4YzQszUJg\nu1aKiJvD8ZfdD9ZoPK+0O9Dh0VvR8u6bhfw8+RwqSxywxlphCTNjyDv9sG1SLsZuG6b5msUUj+65\nx4ItW4px9KgbQ4ZYsHu3G40aNYLH44HFcgNhYVZkZADHj5fi2WcteOMNB5o3r9K5/e47F5YuLUVS\nEpCZWYb//CcWkZFmTJpUjJ07q0a2de5sxoIFkTh3zi0836WlZUhJiUKPHh787W9l2LXLA6vVjWvX\n3Ni40YqrVz0YMMCB8vIyVFSEisrF9e2rrFo70IbMaMSup6HMwgQasMH0eDxCLyWhUaNGmhdNowwm\nm6dk21nE8NdgqvEw2fMzmUyIiYkRPkc6/EpCn8R4kjYRvRcTKRECUkgiJj5gs9mEhVGvySZikHB6\n4bGrMEeaMGhxEiIiInD10A38e+QORLeszlFGNo9A2WXv/HR40zBENKkSxwgJCYE11IqSU2W4lPM7\ntud/XxWddQOOIiduf6wtjn96GlGtIhA/6hYUFxcL1+V2u/H1I/9FeFMrWt/TEuHh4fjx9SOouF6J\n9Q9+AwAou1yO7Ie24YEPBvxhPP1r6aEVj+LiTHA6yzFwoBvbtrlw7JgJzz3XCLNnV/XckTB6VQ9g\nCMzmCjRq1AhhYSVISgKs1lA0b+5AWZkTJ07YceWKC6NHV0WISkuBkydN8HhMuO02Epb3ln7s1s0M\nk8mFW24xweUy49y5Ks80PDwMLVq4cNttlUK7EA3ZUJB7pbYQTMPcUFR+gAZsMMnDSApQ/A1n6tlH\nSV6HrtJV4v0GUnxA7PyqvAKLV1EPuSZfIulGQwwVrRQUGhpaI4xrVFER4K0/e+OnYpz813mMWDcE\nZrMZsR1iEN7YWpWDlHl9uRxl74xusBdX4uA7P6FZm6ZonBKLtYO3ILxJGIZ+0Bdms9krXH3fZ1WF\nLqTgqWd6Zxx67zhGb74PJpMJu6fvRVzPpmjUNho/vnEEre6WVr9Ryr33WvGPf5Rg5MiqDVT//qFY\nvNgDs9mEJk3MguJRaKgJR49Wt5a43dVG1GKpighERobCbHagS5do3HqrE9nZkQDc+PTTSvTo4cGW\nLU44nSbYbG7Y7dWRDgBwuZxwu6te32QyoXNnE9aurcSUKREoKQnBL794EBkZicjIEFm5OKL0VFFh\nEfVEA2XIAtVWInY93GA2EMh0c1LeXBuEB4CqitHy8nKvPKWSis1AhWTZsWBEpo547GVlZYLhdDgc\nikTSjYJ4wCRUbLFYvCqepVo/5IqK6IIiVpRdDDEBhDse6YiK8w58PmgLQqMt8LiBu19LQn7WT94H\nk+/E5P2/1b8HElJvx46nv8f6B75BZbED3Sd3rDrPcAtuHdACFVcr0CguxqtdhujvsjlfDzyCJ9r9\nmY74T9qPOPLhz4hoFo4HVomLmCvF7XajXz8Xpk514p13woSc8U033UCPHlXe69NPR2Hw4Gto186M\ntm2rvpu4uBBUVnrwyisliIgweX0GJpMJcXGhmDYtGiNHVs0obds2BI89Fo1t20phseAPj9op5M3J\nZs9qNf1h3IAHHwzHjh1ODBtWhLi4EERGmmA2e4RNIP1s0dW5gF10kDMpdtJrE6uUQBlm1mA2hEkl\nAGDy1FXdJh0gC2JZWRkqKioQExOjWUmmoqICZWVlVY3XKkusCWyIWCxPqeQcoqOjVRUsEchoskaN\nGonmFMVUeohUlsvlQmlpaQ3jQl8LkZkLVOk7W/2qRSlIrKhIaqoDOx4sWBW4NP9J34u2w1uiSa+q\nKkaxTYuWa1SyUaBfnx6Dxm5aAgHbNsRy8qQbR496MHp0GIqKTBgwoARHjjSB1Vp9r9JLpZzmqtjn\nR45hp7jo9SyQXmV/6gGUQPqUrVarsMa8++676NSpk5ciT32lQXuYBD29Qy2vQbwgYizpNgwt6JHD\nZF9PSqUHqC74iY6OrtEmQmCnwBspQMBWv/oj1K61qIj9LPUWi1fClyO2wXpTqGAsC/55Cpf++7vg\nrRLuW3YXGrWNlpzeQq5TanoLnfdlr4/+LozMW8vBnkNERITQ4kSusW1bJxYsKMOKFTa4XMCsWRZs\n2lSC995zerUlmUwmTJkSieHDQ4XPieTo6eeVRCtI3pykJlhv1EgjagQN3cNs0AaTfOlK9WSVvJZa\n4QFWTQioMjxadol6hWTlRBzoNhHyD4GeikImt5B8JmtgjMgV+gq/6oVUURG5RofDUeM7sNvtcDgc\nhhcVAdXV30M+6QOgumXnrpcTFb8GfY0kYiIm90eMKD0Lli4sUtM2pDfkc6D7qulzYK9x/fooL6Pm\ncrkwbJilxndpMjlgt7tr3Kvk72gjajab4XA4YLFYYLVaRSe4iBlR2oAquU8CnSvlOcwGTDA8TDE1\nIeLJBeocpI4HtKn0SIU+SaM4+ZmSXKGaEKBe4Vd/IGFp2liSwqZAFRUBqFGJTLwpPaBFCADvUCT9\nXYqFc8m5yY1A0xOSalH7OZBrlBvzJudt05shVj+YnuDCPgtiRpQ9L7o6V06Mw0ikhAu4wWwA0GEW\nIDAGU8oQmc1mQXg8GH2UNGRGpcfj8WpjIQ832T1r1V1VKkAgtiixBTdGz8lUAjkHevMjdg70RkFK\nT1ZrrpAtLApEJTJZtIkRZcUoiPEnGwkjNwoEMa9SzQACMdiNAqDMiNLHk4p8co7k33Q4V2xDSRtQ\n1ojSXijdSx4IuIfZgAmEwSThQtoLImO39DwPf46nxQdMJpPXMGd/VXp8IRfmpP9hF14C8SoDVVQE\n1Cxm8VUFTBtD8r0r3ShI5QpZ7zoYlchAdWW3WHETG1EQ2ygA/htROn9O7l+jCmCkvG1SFU4/g0R0\nhBwnthkSM6JSspDsZ0lDDzMnn5+ezwMPyXIMNZhi/YrEELE3sr83ttbrYNtEzGYzYmJiBONIv57d\nbvcSSTey6lNsUSLVjqzRpBclsYpVvY0ouzhrLWaRKipiPVCxXCEJ+9Eh4EBJ+xFYz1bMu1YaUVDS\nwiP2XbK562D0+QLeAwTI0GUAPnt99TCiJBVAPFHWm2d7RLV+NmJrS1WLjvqq/LpIgzaYbEhW7/Fc\naqeeGFG0IwdZaIhKDwntkEVXjUh6IBALv1qtVtGiIj3CnFLnYHTokw3Rkfdlc75iY9Dc7prFKEZA\nNoK0ApUaz1au+lipt03eS8qzDRRSVbgEuV5fOSNKRxPMZrPX5pW8TkhICKxWqyDi0QwAACAASURB\nVDB0ITIy0iuEy0ZngOqaAra4SA3shqih0KANJkFvD1MuT2nkeSi9caW8XpPJBJvNBrvdDpfLJXhn\nlZWVtarakVTg0p+nXJiTLLpilYis9yJ3DsHsqaSrJemFlVwzuVYlQ6r9XeDYth29Nk9yRtSXLjAb\niQjEIs6G5P0ZICBmROW+S/JZkfuSVggTm+BCh3Lp92KNKFudK3bN5O8bIg3aYOpZ9ENwu90oKiqq\n0a+o5gYz0sN0uaoEBsSGObtcLsHLJI3QNKGhoQH1KklokngQZPfuK0+pNR9K7+pp42KUgVCDEs/W\nyKIi8vqBFiAQ+y7JaDv6b0ionm1vUbohUosvr1INSoyolOoUSZsAVc8n64kSQ6rGiNKvzVbnBmoz\nUltp0AYTqL7h6BtPC8S4kNeSylP6OhfyGv4gdrxcmwhdYRcTEyMsiuzrBFp8gBZz8Lf6VSof6mtX\nT98XwSioUePZGlFURGDbNIIhQCCVL2Wvkw5ZS+UKtd6zWrxKLfjK+5LvkH5GyfMpFlFQYkTZUK6Y\nESXY7XacO3cOsbGxqvKXFRUVyMjIwLVr1xAVFYXMzEw0adKkxt9du3YNKSkp2LBhg5B2GTRoEOLj\n4wEAd955J9LT0xW/r140eINJ0Gow2YIZAIiNjdX0ABmRwyQPuJhKD9smIieSLua5SPUU0ouulgXJ\nV/hVD+R29UR8gC6oAaq9c73yob7Qw7NV6m3LCRCQ3wPBCckD3lW4YhsXur0FUJ4rVBOy1tOr1AK5\nZ+mJO1arFRaLRfRa2ePE7ldiSMl9ThtR8nPWgAJAXl4enn76aQBATEwM0tPTkZCQgISEBPTq1Uvy\n/vjss8/QqVMnpKWlYfPmzVi6dClmzZrl9TfffvstFi1ahKtXrwo/O3fuHO644w4sW7bM34/RL7jB\n/ANiFJTCemwkn0AeJq3nAOiTSwWqio5ofVc5lR52RiW7IMl5aGz4j3hpSjwXgtbwq54QA0+uB/Be\nkKQk4vQO/4ltGvQMffoSIJAqKiLGxOl0Gl5URGB7XP3t9dXS3kLyxkZ7lb6gC+/kIg1aiqdYT5Qu\nLiIbLo/Hg9LSUoSEhOCOO+5AamoqDh48iMOHD2PTpk3YtGkTAODZZ5/FlClTRK/hwIEDmDhxIgBg\n4MCBWLJkSY2/MZvNWLVqlZc2bUFBAQoLCzF+/HiEh4dj5syZaNeunfYPUyMN3mDSIVnAd8EAWczo\nyjzisdlsNsEr0bKQ6GUw3W43bDab7DBnAh3uU2OkfIX/WOMillsiYTHWsw2G+ABrpMQ2DVIScUTd\nRo/GfLZdJRCbBrJRIEaUNVJ0LjcQRUWAMf2lvsKcckaUYLVag35v+qrM1lo8xRpRck+Q9Yj8rclk\nQnR0NKZMmYL9+/cjOzsbGRkZOHz4ME6dOoX7778fAPDFF1/g448/9jq3pk2bIioqCkDVtKiSkpIa\n53/XXXfV+FlcXBwmT56MYcOGYf/+/cjIyMC6desUf4Z60eANJkGJwSSVpazHplfxkL8PIb07rKys\nhNksrdLDhvv0MFL0gypmXKRyS/TxgfYqAfU9lUrzoWKeC11URIesPR5vMYhgzQxl86V0dTcdslYa\n/tMSstbqVWpByrg4nU5UVlbWqMYlxXB6XKcS2NyxVjEGtaF5+jhS7EO+Z7KeAMDevXtRVlaG1q1b\no3Xr1l7vmZycjOTkZK+fTZ06VRinWFpaikaNGik6/4SEBOE+TEpKQmFhocpPQB8avMEkDyHbLEzD\n5iml+imNLNrxhcPhEOTsAEiq9AA1RdKNrHSUMi5iVbgejwdlZWU1FiOjDKhePZW+8qG+jAsAL28u\nGL2ESoyUUg9NS1ERea1gjwEDqkeBkfQK2UBJiUkQiFHSIzQvVlzkr8QfixrJP8LGjRuxfv16tG/f\nHr/99huKi4vxzjvvKH7PxMRE7NmzB927d8eePXvQq1cvRcdlZWUhNjYWTz75JI4dO4ZbbrlF+YXq\nSIM3mAQxY0cWVPoBltvh6eFhqi0+Yo05OZ5UltGvRVe/Eim5QBYtANViCXTRQlhYWA1P1Mg8oZrK\nU60oqXJkFyNCZWUlXC6XIe0QLOzCrDb06W9REf0Z0brEpKAm0B62nMGWE5Mg/4i1Kqm9b4NZXESM\nqMVi8fKwSfokMjISv//+O06fPi0cM3r0aHTt2hUrV64UrXilSUlJwYwZMzBu3DhYrVYsWrQIALBq\n1Sq0adMGQ4YMEf6W/pwmTZqEjIwM7N69GxaLBQsXLtTzshXToAdIA9VDpMvLy1FeXo6YmBhYLBbJ\nPKXczU5eQ+sAZwC4fv06TCaTz/lyJITHGnOiLGS1WoUdvcvlEnbMQHD6CJXkCGnE8oQsWvJnelSe\n+gu7MJMFSip3ZlSekP0sjDJSUkVFYphMJoSFhRnSqiQHkVZkvUo1709fp1TfJFBtRNkxb4FqWfEF\n+1nQ80OXL1+Or776CvPnz0dJSQmOHDmCI0eO4Pr163j//fcRFxcX0HMNNA3ew2Tzj77ylEpey9/z\nkdvDkIeKFZkmHqXFYhHyLywhISEICwsL+M6dHTmlZDHSkieUyysRz5Z8LrWh0lHss9CaD1VzHUZX\n4bKwRUXkHOiqaPrciMEAjNcF1jMMLHWdSqXw6IhQMDZygLcoBP1ZXLp0CVOnTkXv3r2xY8cOIaLw\n0EMPBfT8gk2DN5gEcqOSB4dUlqp5cPSschWD1aYlKj0AhIIeYhDtdnsNo0nyVOXl5ZK7XD1h82L+\nFLL4kz8jvYTk/wPdP0fOVYnB1lrJqTRPKFaFG4zPQmywM7n3jS4qIujhVfrCV3sLuV/ZZ57k1o3c\nLNCwRWd0tOGrr77C22+/jbfffhv9+/c35P3rCg3eYJJCEzo8Fh0drbkSjbymVsSqdeVUeujKWJNJ\nWiRdLFQk1gqh1WuhURt+1Yqv/JlYWIycG+klNLqfkPWktORL1bYJSOUJaU3gYE30YKs+xYTKtRYV\nsRXIUgS7uIicr8lk8ho4brVahc2d0ZsFGrIRZ9t3SkpK8MILLyA0NBQ7duxAdHS03+9V12nwBpMU\n9ZBQaGhoqObiDz0NJnkdsVyq1WoVJKyIoWR3iKwHIxcqktMdVVv1pyX8qid0zyC5FrKYsosvDXud\neixErIetZ38pa0TlxAfYFh5yraQBPhDfjZhXqaTqU2s7hFSxTSC8SiX4Ui4CtAkQqLl32agHfX9+\n//33mDlzJl588UWMGjVKvwuv4zR4gxkRESFUJIo10apBT4NJHig2l0oMHTFIQE2VHjJI2df7kAeM\nFR6gDShb9SdVgKJn+NUflPRUKl2ItLYI+Ft5qgWx/JnL5a3HSzZW7LUasVmg0TsMrEapiL536fqA\nQHwnYrAbW7lcpd6bBRra06ejHg6HA5mZmThy5Aj+/e9/o2XLlgZ9EnWTBl8lSxY3l8uFoqIiWK1W\nzaEH8hphYWGCmoVaaIUeQFqlh4RzjPTmyEIk5YESaAF3ttk9UPjbUym2ELGPhtQ0Exq1IghGIKeS\nI7ZZYPNnakOccucRrMHObARFTCgDCMywcQId+tTzOVF675LrJH3QgPd38vPPP2PatGl45JFH8NRT\nTwV8s1sXaPAeJkHv/KNa2MUlJCQEUVFRkio9UiLpekIWD3bKO+19sgsuCXmp7T3Tipg3p8TDZpHy\nWqR0cglkoQ0JCfFamIPZEiAnQKCH16Kk5UOp7qlREG+b/k7MZnONnt9A5AnlQp96IOdxy9Us7Nq1\nC4cOHUKnTp1w5swZ7NixAytWrECXLl10Oa/6CDeYfxBMg0mmidCGh+w+yW5RKvwa6LASWYiIVw5A\nyPvSO3o5bVW9dvIul3E9lb42C75aPshO3kiPhcafQhatC66UYQmWV0nDbhykekzZ71RMNMMfjzsY\nGwex8LzdbhfuDfL7b7/9Fjt37hSOCwsLw5w5czBgwAA8/fTTAd/s1QUavMGkd96A/7J2al6D5BFo\nyT2TySSEFunFllbpIXmgQGuuKs3Nsb1nYtWqStsgpM4jGD2VrHdGF5AA1b107LUqCeX6A71x0CMM\nLLbgKvlO2dcIVssKyf8DvjcORuUJ2SKnYG0c5NpFhgwZgosXL+Luu++GzWbD4cOHcfjwYRw7dgwT\nJkzgVbEiNHiDCVQXA9DK/Fpfhy4skEJKpYcoDAEQHjb29WpzMQ2BNoYEKVk4sTYIqd5QPVo09EBu\n46A2lOtP2E+qn9GIjYPcd0qEMlgBAqILrJe+qi+UepW+8NfjNplMwudhMmkXTPcXqXaRsrIyvPTS\nS6ioqMAnn3ziJYBONqJqjKXb7cacOXNw4sQJhIaG4rXXXkObNm28/qa8vBwTJkzAggUL0L59ewDA\nqFGjhPdp3bo1FixYoMNVGws3mBSk2tPf15AymGShlRrm7HK5hNwlyb2w50P0HY30WGjEimnCwsJU\nL8r0Tp6dZKKkN5QUORGPJhgjwADfcnJSoVylDflKw361QYCA3OvEOJANDBvmlNJX1Us0Q61XqRYl\nHrdUeD4kJETotSTfqdH3rFzOlIzGeu655/CXv/ylxrHh4eEIDw9X9X7bt2+Hw+HAmjVrkJ+fj8zM\nTK85l4cPH8bs2bNRWFgoXDvZ5K1evVrrZQYFbjDhPROTFgHQ+lpiRleJSg95mEgVG1mESEMzveCy\nHgu90OoRqtWrmEYOOfk7ucpccn2kHShQOUKtYWBf3pmvsB9tWIDakyOkN1LsBsZX8ZReOW69vEq1\nsN8p3aYBoEZFsthQdSPaeKTaRVwuFxYtWoTvv/8e69atw6233qrbex44cAADBw4EAPTo0QNHjhzx\n+r3D4cCSJUuQkZEh/OzYsWMoLy9HamoqnE4n0tPT0aNHD93OySi4waTQux2DGD81Kj30xAa2iIU1\nLEoWW6VVjTSs9xIWFhYQXUt6MbFarV4hJaA6R8heq1RvqF7QTeZ6TXlhc2dKw3708bWtZUUMOY9b\nbmPky7AY7VUqhd1YshsppUVF/oat2fOgN1KnT59GWloa/vznP2Pz5s26f0Y2m80rhEsK3sj7JCYm\n1jgmIiICqampSE5OxpkzZzBx4kRs3bq11hcacYNJQRf++ONhktdgVXpIm4halR6x92A9FrHpHmql\n71ivIZitEVI9lVIeixGtAb68KD2RC/s5HA7RHCHJg2stnlKLXoOd2Y0RoMywkE0gHW0BgjMKDPD+\nPMgGhp1SpLSoyJ+xYHLTRT755BN89NFHWLZsGbp162bI5xAdHS0MhSbn4+t5i4+PR9u2bYX/bty4\nMa5cuYLmzZsbco56wQ0malbKKvnCfb1WcXGx1zQRMsyZVemhy739KWLREt4kDzPx3Oge0NpWTEOf\ns5J2D3/maSqtBg4ELperhooT+bmv4ikt0QUxWG/OiM9DjWGhoYX1jc7nE/z1bvVs45E6j99//x3p\n6elo27Ytdu7cKdQNGEFiYiJ27dqFBx98EHl5eejUqZPPY7Kzs3H8+HHMnj0bly9fhs1mw80332zY\nOeoFN5gU/raW0AbJ7XZ7qfQQj5K8j5RIul4Pu9wunpW+Y48jPZWB7CNki2nUfB5KFlulvaHEa9By\nHnri6/MQK56iv9u6niMEvA0L28JD5w7FKpBZj1uv8zXi8/CnqIhw/vx5NG7cGBEREdi+fTvmz5+P\nBQsW4E9/+pPm81LKfffdh5ycHDz66KMAgIULF2Ljxo0oKyvDI488InrM2LFjMXPmTDz22GPCMbU9\nHAtwaTwA1bt1rQOgSUEI2ekBVcIDtPYrndOsLWFP+sEn72+UTJoUgeqpFOsjlKuIDpZXybaKaMnN\niUUXpL5XqUIxf4QQ9ETMu6XH7onl831dq9YQPSuYrnb8n7+QDS8J0RMKCwsFw0RaWB555BH06dMH\nffv2VV31ypGGG0xUG8yKigqUlZUhKipKUQiDPMz0uCKz2Qyn04moqChhQgbJvbEjr/SuOlUCuxCy\n4Vexfkn2FtGjEZ8tHglGGJhcKz32ikXvFgg5xFpF9BKnUPq90qG+YOrhAtpzpmquVWmIXqlgupGI\ntYtYrVY4HA58+OGHyMnJwcWLF3H9+nXhmAceeACLFy8O6HnWZ3hIlkJNSJaUb9MFIREREcKsRVpP\nFYBXI3OwFiAlYWCl/ZL0DteXt8Licnlr4Qarp5JsHujiIjI6LRBzQ+nzYL1sJaOv1CD3vfryREkY\n0GhxcoJYJa4ab87XtUqF6MU2guQ5p/umg5XLFmsXcbvdWLJkCXbt2oWVK1ciPj4eV69exeHDh1FQ\nUIDevXureh8tIgRKjqkvcIMJdfJ4Yio9UVFRQt8VeVDFCk/Ig0y/RyCMhL9hYLEiBaVFNmwPIRtu\nDA8PD0rYU641wmw2y7bwSBVPaWkLYFtWAull098r20dI57HlNkd69xHqVYnLIlcUR//D5kMJ5F4N\ndtsKXTF+/vx5pKWlYejQodi6datw/zZt2hSDBw/G4MGDVb+fFhECX8fUJ7jBpJAzmEpUeuif04aB\nFiSgy8fpxceIlgCjwp6+imzkhhcTgtUKoLa4SKnogNK5oYRAtqzIwaYKtPQRqglvyp2HP16lWqS+\nV7JBYA2n0+mEzWYz/JmlkWoXAYC1a9fivffeQ1ZWlmifo1a0iBD4OqY+wQ0mqg0lvUjQOJ1OlJaW\nevV9kUQ6XdADyIukyy0+dEuAHrJ3vkQQ9EZqBy/WQwhA8NIDpTOqRzENQUp0QElvKHk/uoWnNoT5\n2AWZPm9/K5B93cdGeZVaoAtqiAwkm5KQa+PR6z6urKwUbRe5fv06nn/+eTRr1gw7d+4U1ML0QosI\nga9j6hPcYFKwHiar0mO1WoUbl1XpYT0XMY9BbvFRkh9UsqN1u92w2+0Bn+QhBr2okCIndtMg55np\nlTMzWndVTW8oexwpEiNeVSCMhJhXqSZnqjS8KbZhYI2KGtUgI2E3D7RgOtnEqsmHqtkw0LAFRnQk\nZvfu3Zg9ezbmzp2LBx980IBPQZsIgZZj6ircYFLQwgWkTYQOD4mp9ABV3hIxUHo0MWvxQgEEveqU\noFbijw3lii20Wtpa5BSDjIbeHLF5KNJzF6gNAw27edBjkoZc2Fouz02jVdTfX8Sk7XxtHrRsGADf\nxWJS00XsdjvmzZuHc+fOYdOmTYY2+GsRIdByTF2FG0zULLwhDzZZUKRUeujwq1Eao4BvL5QlmPkw\nNT2VvhZaNgRG8BW2rg0tKwQ68sBWSKvZMPibM2O/G6M3D3L3MZm4Q0Pyhlo9My2w343WyIPSDYPc\nd0tHIOjnt6CgAM8++yyeeOIJvPnmm4Y/01pECMSOqa/wPsw/KC8vR2lpaY02EVKsA1RrzAY6P8hC\nF52IjQADjB9azJ6PUQZKSjaMhl54TKaqWYRGKSipOW8tsyrV9BAq7Q2lPZdgbh7YXGVYWJhQjSvl\nlQHek3j0auORE0w3CrH7mP1uN23ahKNHj6JLly44efIkfvjhB6xcuRK33XaboefGUQY3mKh6kC9f\nvuz1syZNmtRalR4xA0V2pEqMip7VfUpyt3ojtnsX2zSEhoYGRHCARe+cqViEgUUs3Mfmw4IVeQBq\nquRI5SqVfLf+tPEoEUwPBGICIiaTCS+//DJ2794t/F1oaCi6du2Ku+++G2lpaUHJ73Kq4QbzD27c\nuIGQkBBhoYuOjhZyTb7UcQKJ0rYIsVyonoo9elad+ovYGDAxA+orh+QvgQp7KpWDo3t99chVaoHd\nZGrx+MXyg2rvZVZiL5j3q1y7SHZ2NtasWYOhQ4eiqKgIhw4dwvHjx2EymbBnzx40adIk4OfLqYYb\nzD9wOBxwuVyw2Ww11D/oxai2yGJpeeB9eSpKvVDi3Roh4aYG1oNix4D50lPVsx0gmAIEgLfOqMPh\nEO0lDmR+EFDuVapFqo2HhS6cIs83ELweYEC6XaS4uBgZGRmIiIjAW2+9haioKOEYMiawcePGqt7L\nlwLPzp07sWTJElgsFowZMwbJyckAgFGjRgltIq1bt8aCBQv8vex6Ay/6+YONGzeiXbt26NChAywW\nC4qKilBcXIymTZt6PVh2ux0ulysgvYOAePhVa3GRVHUfW1wj1mNGFh66YCOQVac0SnKmtPGnp7Ww\ni6xUlSqrUCRFbREgIJsEYizJfSIW4qSPETOi/qKHVymHVBuPL0UmAELVMnmGA1l3INUukpubi1mz\nZuGll17Cww8/XONYck+pRU6Bx+FwIDMzE+vXr0d4eDhSUlIwdOhQwVCvXr3aj6utv3CD+Qc3btzA\nW2+9JYQ/bDYbKisrMWvWLIwYMcJr4RFbZI0I9RmdHxSr7lOq2GO1WmtN4YjSz8RkMiE0NFRRWwvx\n5KXaWnzJ6wUSpY3/aiQNtW4IjfIqfcHeyx6PB2VlZV7TeMiGyZeEo95GVKpdxOFwYMGCBTh69Ci+\n+uortGjRQtf3lVPgOXXqFNq0aYOYmBgAQFJSEvbu3YuWLVuivLwcqampcDqdSE9PR48ePXQ9r7oM\nN5h/MGHCBAwYMABTpkzB+fPnERMTg/vuuw8fffQRVqxYgW7duqF3797o168fWrVqJRvepBcdLQN8\n9Qi/aoX1QukFEKj2ZGj5sEAsOmweWQ8dWn/aWkhYEAhuG48ao62Hao9Ub6jRXqUa2KpgoqQkFco1\nSlyffY7p++TEiROYNm0aHn30UWRmZhryOckp8NhsNsFYAkBUVBRKSkrQvn17pKamIjk5GWfOnMHE\niROxdevWeitEoBZuMCkOHz6MS5cu4fHHH0daWppwQzkcDuTn5yM3Nxdz587F2bNn0aJFC2HeXM+e\nPYVeKrlFhzyEUvk+PcOv/iLXU6nEC6UXHH/zm2zVqZHTXmijQvpv6UVWrI2nsrJSCPEZrS9K0EtO\nzlcTvpLeUGIsg+1pyxkoct5aQrlaxDNcLvHpIh6PBytXrsS6devw3nvvoXPnzgZ8ElXIKfDExMR4\n/a60tBSxsbGIj49H27ZtAQDx8fFo3Lgxrly5gubNmxt2nnUJbjApRo8ejf/5n/+pUWYeGhqKXr16\noVevXpg2bRoA4NKlS8jJycHGjRsxb948AFVhjz59+qBfv36Ii4urseCIeaHkISQPeyDbM8RQkh/0\nlQuVC/Wp8ULVCiEYAVlkzeYqxRXaqwQgXLdc7ldPr1vM09Yz+qDW6ybXC9Sc8hLIe5feVKkpupK7\nXi33M/v90Hn+3377Dc888wy6d++OHTt2GL4RllPgad++Pc6ePYuioiJERERg3759SE1NRXZ2No4f\nP47Zs2fj8uXLsNlshioL1TV4laxO2O127N+/H7m5ucjNzcWlS5fQpk0b9O3bF3369EFCQgJMJpPX\ngygG6amsDZM8/DHaYl4Ki5QXSjy6YFadEpQKECi5Xn9Dfez3E8xqT7vdLhgFKYxu4wFqfj9GFKIp\nEc8AqkOeZEmNiIgQNt+bNm3CG2+8gUWLFmHAgAG6nZuv854zZw6OHz8OoEqBp6CgQFDt2bVrF7Ky\nsuB2uzF27FiMGzcOTqcTM2fOxK+//goAyMjIQM+ePQNyvnUBbjANwuPx4OzZs8jJycF3332H/Px8\nWK1WJCYmom/fvujduzeOHj2K/Px8DB06FLfeemuN1wiUWk8geiqV9A4Sz5VIEALBbbb3R4BA6fUq\nKbAx2qtUg1RVMPmdr95QPafT0GHPQPeasm1LbJ/zBx98gK+//hodO3bEhQsXEBkZiaysLNxyyy0B\nOT+OMXCDGUBKS0uxb98+bN68Gd988w3Ky8sRGhqKxx9/HPfccw86depUoyiBxgi1nmD2VKr1Qo3y\nUljk+jv9fV02zMfCfr/kXEiTu5H5W1+orYBVIgWnpTdUzOtXM21FT8TuFZPJhK+++gorV67E77//\nLvytyWRC165dsXTpUp4TrKPwHGYAiYqKQvPmzbF582Y4HA4MHDgQ//u//4vTp09j+fLl+OmnnxAV\nFYXevXsLXmhUVFSNPAo7NstXBaMYbNFIMHoqiUcZEhLiVTBEvDi9cqFKMToUrKWthRDMUL1WiT22\nKleqSlVNbygdltZDdtAfpNpFnE4nfvnlFzRq1AhZWVkoLCzEoUOHkJ+fj8LCQtnBCWJoESDwdQxH\nG9zDDDAXL17EwoULMXLkSAwdOrTGolNUVITvv/8eOTk52Lt3L0pKStC5c2chF9qhQ4caoS8aXxV9\nbHivNlU1iuUHA5EbJO+jtb9TT9iiKzG0eGVaMbqvUol2LNkkEWMLBHfOq1w17qlTpzB16lSMHDkS\n06ZN0+X8vvnmG+zatQsLFy5Efn4+li9f7iVAMHz4cC8BguXLl2P//v2Sx3C0wz3MANOqVSu8++67\nkr+PjY3FsGHDMGzYMABVO+qjR48iJycHb731Fn7++WfcdNNNQktLYmIiwsPDZfsGacNZWVkpVDDW\nlvCenCcn1/bgqwJZSR9sbdtAiBUYAVDslekVqtfqVapFTW8oDRmUrjay4i9y7SIfffQRPv30Uyxb\ntgwJCQm6vadaAYJ9+/YhLy9P8hiOdrjBrOWYzWZ069YN3bp1w9/+9jcAwO+//47vvvsOu3btwv/9\n3/+hsrISCQkJghFt3bq1bB8ded1gSIT568mJSd4pbb5nvdDaVHXqq8CI7R0UU+vRq62F3cyQxv9A\nQTZJFosFDofDS62H7nc2etNAI9cucuXKFTz33HPo0KEDduzYoUnGTg4tAgRyx3C0ww1mHaRZs2YY\nMWIERowYAaBqsc3Pz0dOTg7mzZsnCCv07t0bZrMZmzZtQrt27ZCZmSk8OGJeqNGTPIzy5LR4oaRn\nTu9zUQsb3lOSS/bllSkRkxD7jgPlVSqB3VixmxklvaF65bvlpots27YNr732GjIzMzFkyBCdrt4b\ntQIEjRo1kj2Gox1uMOsBFosFSUlJSEpKEoQVfvjhB8yePRunT5+G1WrFbbfdhtdffx29evXyElaQ\n8kL9lfejCbQnJye8LjbNw+WqmlITiL5BGq3N9mL4IyZBNgr0+LpAe5U0HBKwtQAAF9pJREFUbN40\nMjKyxnfBKjIB4tN4/JG9I/lkseki5eXlePnll1FUVIStW7fipptuMuCTqEKLAIHJZJI8hqMdXvRT\nTxkxYgROnDiBIUOGYNasWbj55ptFhRVIGJcWVpBrefAl70dTG5R65M7FarV6GRW5Pkl/Nw1y5xKo\nCmWx0DULqeRVOq1FT1gP1189WiW9sFK9oXLTRfLy8vD8888jLS0Njz32mH8XrfA61AoQiB3Trl07\nw8+1vlPvDWZFRQUyMjJw7do1REVFITMzs8YQ1lWrVmHz5s0AgEGDBiEtLQ0ejweDBg1CfHw8AODO\nO+9Eenp6oE9fM99++y1MJpOkqogvYYU+ffrgpptuqhHio5ELedFeQrDL/5UWGCntk/THCw323Ewa\nejYjID54W2+xASmkWjT0RklvKP050HrOLpcLb7/9Nr799lusWLFC0FzlNBzqvcH88MMPUVpairS0\nNGzevBkHDx7ErFmzhN+fP38ezz77LNatWweTyYSUlBTMmTMH4eHhWLhwIZYtWxbEsw8sRFiBGNGr\nV6+iQ4cO6Nu3L/r27YsuXbrUCHuxkGKi2qDU4++sSrFcqFYvtDblB+XORa3YgL8Vqr4E041GTFyf\nvt4XX3wRBQUF6NSpE44fP47+/ftj7ty5NTbdnIZBvTeYU6dOxcSJE9G9e3eUlJQgJSUFGzduFH7v\ndDphs9mEaebJycl44403UFBQgJUrVyI6Ohrh4eGYOXNmgwtpeDwe/Pzzz8jJyUFOTo6osEJ0dLSQ\nG7PZbEIbBCFQ8n7seRs1q1KLF0pyuMGqOqWRGn0lhZTYAI3WClU2hxvMz4WV2SN50Y8//hhffvkl\nLl265PX3CQkJ+Pjjj4WBy5yGQb0q+vniiy/w8ccfe/2sadOmwk1NSq5pLBYLGjduDI/Hg9dffx1d\nu3ZF27ZtceXKFUyePBnDhg3D/v37kZGRgXXr1gXsWmoDJpMJHTt2RMeOHTFhwgQAVcIKP/zwA/77\n3/9iyZIlKCkpQevWrVFUVIRffvkFo0aNwvTp073yobSyidHl/3qNvZJCjVoPCylQqQ05XDVqPWIj\nsfxpawmEYLpS5NpFrl27hpycHHTv3h2ffPIJTp48ifz8fBw6dEjYdGhFSaro888/x9q1a2GxWDBl\nyhQMHjy4zqeK6joNzsMcN24cNmzY4PU3drsdL730EqKjozFnzhyYTCZUVFTAbK4eVzRo0CDs2bMn\nGJdQa/F4PHjnnXewfPlyuFwudOvWDSUlJbBYLKLCCmRxNSLEV9sEyu12u6wEGrtpMPI81XqVWpAb\nqE4g3y25BwItmM4i1y6ya9cuzJ07F6+++qogIqInvlJFV65cwRNPPIHs7GzY7XakpKQgOzsbv/76\na4NLFdUm6pWHKUZiYiL27NmD7t27Y8+ePejVq5fX7z0eD5566in069cPEydOFH6elZWF2NhYPPnk\nkzh27BifMiDChQsXsGTJErRq1Qp///vfMXjwYADKhBXEhvYS1A7sZfVFg6lgJObhhoaGivYN0t63\nEcU1gcwPKm1roSHKUy6XS9cqZF/ItYvY7XbMmTMHFy9exObNm9GsWTNDzuHAgQPCejNw4MAasnWH\nDh1CYmKiEM1o27Ytjh07hvPnz6OwsBDjx49vsKmiYFLvDWZKSgpmzJiBcePGwWq1YtGiRQCqKmPb\ntGkDt9uNffv2weFwCB7k9OnTMWnSJGRkZGD37t2wWCxYuHCh5HtorcRVclxtpnXr1vjqq6/Qpk0b\nREZGCj+XE1Z49dVXcebMGbRo0UIwoD179oTFYlEk70d7ZEpnVQYCdhEWy5vS/y1WXEN6ROm/1+qF\nsl5loKtx6dA72dAQyHlIKTIZ6XnLtYscOXIEzz33HJ588km8/fbbuhlvLami0tLSGgo+NpsNcXFx\nDT5VFEzqfUg2EGitxM3NzZU9rj5z6dIl5OTkIDc3FwcOHIDH40HPnj3Rp08f9OvXD82bN/cynmLt\nDvStSw/rDTS+VGmUIJYL1dLiEeyqU/Zc6DA5u6FRUoWsp+fNtq4QQQS3240lS5bg66+/xsqVK9G+\nfXv/LlwBvlJFO3fuxLfffovZs2cDANLS0jBlyhR06NCBp4qCSL33MAOBr/BKy5Yt8f777wsPutPp\nRFhYmM/j6jMtW7bE2LFjMXbsWABVeWQirJCRkSEqrBASEoLS0lJcuHABLVq08PKYysvLUVlZGVCl\nHj3zprRHRr++Gi+UGMva0ONJbyJImJzd0EgpMim9ZqU5b7lNxMWLF5GWloaBAwdi27ZtAavS9ZUq\n6t69O9566y1UVlbCbrfj1KlTuP322/HPf/6Tp4qCCDeYKtGrEjc+Pt5LIFnsuIZEWFgY7rrrLtx1\n110AvIUV1qxZg/z8fCHnV1JSguTkZEyfPh0AaiywBKOUesh7Gp03FZsnqWR+JptLDKR3KZcfVIK/\nMzTZymu6XYTdRKxfvx5ZWVl455130KdPHz0/Bp/4ShUNGTIE48ePx7hx4+B2u5Geng6r1aoqVcTR\nHx6S1QGtlbhKjuNUqeO88MIL2Lx5MywWC+69916cO3cOV65ckRRWkOqRpD1QJfJ+LLWpGhfwVg6S\nIlAVuXqEppUg1tYiptZDWpuAqnBwREQETCYTiouL8fzzzyMmJgaLFi3ivZQcxXAPUwe0VuL6Oo5F\naZHQtWvXkJKSgg0bNsBqtdb53q3CwkJs27YNiYmJmD9/Pjp06ADAW1jhvffeE4QViMA8EVaQKyZS\nM9GC9SqDKfcnpUcLiE8uMboiV4lgul7ITWsRizRcuHABL7/8MuLi4tCyZUts374dM2bMwF/+8hdD\nzo9Tf+Eepg5UVFRgxowZuHLlihBeadq0qVclbnp6Onr27CnshKdPn45OnTqJHieFr+IioEpDdtGi\nRbhw4QJyc3NhtVpx9uzZOt+7VVxcjJiYGJ8LOy2ssHfvXpSUlKBz585CLvS2226rYUxoxMJ7AGpN\nNS6gfsqJFrk7pdemt2C6P4hVKlssFly8eBEZGRk4ffq019+3a9cOkyZNwujRowN+rpy6CTeYdQhf\nMn8AkJubi65du2L06NH4+uuvYbVasXnz5gYr8+d2u1FQUCBMafn5559x0003eQkrREREyE60oAm2\nQdBjyokauTu5XljWqwzWTFGgpm4wHQ4+duwYnnnmGTz66KPo0qULDh06hPz8fBw+fBgPPfQQ5s2b\np/l9tUZ96npLWUOFG8xailRx0SuvvIIOHTrA7Xbj3nvvxe7du0WPHzJkiGAwf/zxR1y9elXo3Vq4\ncGGD7t0iwgo5OTnYt2+fqLBCRUUF8vPzcfPNNyMuLs7reLXCCnqg5+xMMcSEFeS8UDJbFAhu6wog\n3S7i8XiwYsUKfPnll1ixYgU6duzodZweBVFaoz5KjuPUPngOs5aSnJyM5ORkr59NnTpVmKJOJqsr\nISEhQdj5JyUlobCwUN+TrWP4ElY4efIkXC4XSktLkZCQgGXLliEsLExUO5Wg5wQPmkDNzmQHMiup\nTgUgbBZcLldANg40cu0iv/32G6ZOnYrExERs375dNNesx7kqaQ0zm81YtWqVV+i3IbeU1WW4waxD\nqC0SInCZP3ksFguSkpKQlJQEs9mMgwcPAgDuvfdeREVFITk5WVRYgc0L+iPvJ4bRXqUcrOg6a5zo\ntg36uo3aOLDItYts2LABb775Jt58803cfffdur2nlpYyAEKrFA1vKaubcINZh1DSu0WgFym9Zf6A\n+puT2bNnD9q1a4f58+cjKSlJ+LlSYQW18n5iBMqrVAo7+ooIpqvpkdQrfC03XcRms2HGjBkwmUzY\nvn27l7ScHugZ9YmOjobNZlN9HCe48Bwmx4uGnpNxOp2KFnVaWOG7775Dfn4+rFYrEhMT0bdvX/Tp\n0wdNmjTxKe9HDAmpTCWtK8HwKsWuUe0YLrW5UDVeqNx0kb1792LGjBl44YUXMGbMGD+uWh30fb9p\n0yb8+OOPgpwdC11XoOY4Tu2BG0yOF1orcZUcV98pLS3Fvn37BCN69erVGsIKrEcm9fhZLBaEh4cH\ndaCyHj2nelTkyqkHOZ1O/OMf/0BeXh5WrFgR8HSDr5YyOuozdOhQbNmyRYjIqGkp49QOeEi2AcNz\nMvoSFRWFwYMHC2POaGGFFStW4OjRo6LCCqdPn8bZs2fRrVs3hIWFAajydG02m6HyfmL4EkxXi68B\n1L7C18QoiqkHnTx5ElOnTsWYMWOwcePGoISsw8PDsXjx4ho/f/zxx2v8bMeOHT6P49RuuMFswPCc\njLGYTCZ07NgRHTt2xIQJEwB4CytkZWXh8uXLgmD63LlzMXz4cNGpJbT4uL/yflLIhTz1hK3IJe/t\nqyJ348aNKCsrQ/fu3XHo0CF88cUXeO+999C1a1fdz5HDEYMbTI4XWitxtR7X0IiNjcX999+PxMRE\n/PWvf0V5eTni4uIwYsQIbNmyBe+8844grNCnTx8kJSUhIiJCN3k/MfwVTNeDkJAQr4pcWj2IjOBa\nuXIlbty4AaDK6Hbu3Bnr1q3DPffcg3vuuSdg58ppuPAcJseLQOVklFTVfv7551i7di0sFgumTJmC\nwYMH13ldXEJeXh7Gjx+PsWPH4vnnn/cSAGeFFex2O7p16yZU5LZp00a1vJ+UAQ2UYLpS2HaRyMhI\nIY+7YcMGZGdno0WLFrh8+TIKCgpQWVkJk8mEAwcOeA0x53CMgBtMTlDwVVV75coVPPHEE8jOzobd\nbkdKSgqys7Px66+/1nldXAJp9vcFLazw3Xff4cyZM2jRooVgQHv27InQ0FBZeb+QkJAas0JJn2cg\nBNN9IdcuUlZWhlmzZsFmsyErKwuNGzcGAFRWVuKnn36Cy+VCYmKi5vduqEMNOOrhIVlOUPCldHLo\n0CEkJiYiNDQUoaGhaNu2LY4dO4bz58+jsLAQ48ePr/O6uEorYGlhhWnTpgEALl26hJycHGzcuBHz\n5s1TJKxAz8yksVqtCAsLC5qxlMudHjx4ENOnT8e0adOQkpLidZzVakWPHj38fv/PPvsMnTp1EjZv\nS5culWylunr1qvCzc+fO4Y477qgXmzeOMrjB5BiOlmrc0tJSr8bzqKgo2Gw2xMXFYfLkyYIubkZG\nRoPUxW3ZsiXGjh2LsWPHAqgSVjhw4ABycnJkhRVOnDiBoqIidO7cWTCQlZWVqKysDJhKD0Eud+py\nufDmm28iNzcXn3/+OVq3bm3YeWiVtysoKKg3mzeOMrjB5BiOlmrc6Oho4ff033To0IHr4ooQFhaG\n/v37o3///gCqhRVyc3OxZs0a5OXloaysDKWlpTCbzVixYgW6d+8uWp1KMFJkXm66yJkzZ5CWloaH\nHnoIW7Zs0dXz1bOVim/eGh7cYHKCgq+q2u7du+Ott95CZWUl7HY7Tp06hdtvvx3//Oc/uS6uAkwm\nE+Lj4xEfH48BAwYgNTUVV65cQatWrTB48GAsXLjQS1ihT58+6NKlCwDoIu8nh9x0kX/961/44IMP\nsHTpUl3CrSx8qAHHH7jB5AQFJbq448ePx7hx44QB3FarVbEurtvtxpw5c3DixAmEhobitddeQ5s2\nbYTf79y5E0uWLIHFYsGYMWOQnJzs85i6Sl5eHi5cuIDU1FQ888wzQu8jLaywcuVKUWGFmJgYL+PJ\n5kPF5P2kvFC56SJXr15Feno6WrVqhZ07dyI8PDwwHw74UAOOcniVLKde8s0332DXrl1YuHAh8vPz\nsXz5ciE35XA4MHz4cKxfvx7h4eFISUnB8uXLsX//fslj6jrl5eWIiIjw+Xe0sMLevXtRUlKCzp07\nC7nQ2267rUYYV0wrlq3IlWsX2blzJ+bNm4f58+fj/vvvN+T65dDaSlVSUoKMjAyUlpbCYrHg73//\nO89h1nO4weTUSzIzM9G9e3c89NBDAIBBgwZhz549AIBjx47hjTfewMqVKwEACxcuxJ133om8vDzJ\nYxoqbrcbBQUFyM3NRW5uLn7++WdJYQU5kXmyzNBVsBUVFZg9ezYuX76MpUuXci1VTq2Hh2Q59RJa\n2xao8nqId2Oz2WpU4JaUlMge01AJCQlBt27d0K1bN0yePBlAtbDC7t27sWjRItjtdiQkJNQQVrh+\n/ToKCwvRqlUrIUf56KOPori4GB07dsTx48fx8MMPY/78+YiNjQ3ylXI4vuEGk1MvYatsacMXExMj\nWoErdwynmmbNmmHEiBEYMWIEgGphhdzcXLz66qs4ffo0IiIicO3aNVRUVAihVo/HgwceeADbtm1D\nXl4eAGDNmjVYu3YtevbsiVWrVgU0d8nhqIUbTE69JDExEbt27cKDDz6IvLw8dOrUSfhd+/btcfbs\nWRQVFSEiIgL79u1DamoqTCaT5DEcaWhhhcmTJ+OFF17Ali1bEBYWhoceegjvvvsu3n33XXTu3BlH\njhzB8OHDMWnSJBw5cgQHDx7EwYMHYbfba0j8qUWJYs+qVauwefNmAFUh97S0tHoz/JxjPDyHyamX\neDwezJkzB8ePHwdQlacsKChAWVkZHnnkEezatQtZWVlwu90YO3Ysxo0bJ3qMkiIOLRW5ADBq1Cgh\nBNy6dWssWLBA748h4Bw4cAApKSlITEzE66+/LggO2O12/Pe//4XT6cSwYcMMeW9fcovnz5/Hs88+\ni3Xr1sFkMiElJQVz5sxBbm5uvRh+zgkAHg6H4xdbt271vPjiix6Px+PJy8vzTJkyRfhdZWWl5777\n7vMUFxd7KisrPWPGjPFcvXrVU1FR4Rk5cmSwTtlQfvnlF4/T6Qz4+6alpXny8/M9Ho/HU1xc7Bk+\nfLjX7x0Oh+f69evC/48dO9Zz+vRpn8dxOAQekuVw/OTAgQMYOHAgAKBHjx44cuSI8LtTp06hTZs2\nQpFRUlIS9u7di5YtW6K8vBypqalwOp1IT083pFE/GASitUKLYo/FYkHjxo3h8Xjw+uuvo2vXroiP\nj+fDzzmK4QaTw/ETLRW57du3R2pqKpKTk3HmzBlMnDgRW7du5UVGCtGq2GO32/HSSy8hOjoac+bM\nAcCHn3OUw59ODsdP1FbkxsbGIj4+Hn/+858BAPHx8WjcuDGuXLkS2BOvZxDFHgCiij0ejwdPPfUU\nOnfujLlz5wqKRL6O43AI3MPkcPxES0VudnY2jh8/LjTu22w23HzzzUG8irqPL7lFt9uNffv2weFw\nCAZy+vTpksdxOCy8SpbD8ROPhopcp9OJmTNn4tdffwUAZGRkoGfPnj7fS4nebXl5OSZMmIAFCxag\nffv29VYjl8MJNNxgcjh1CDmNXAA4fPgwZs+ejcLCQqxevRrt2rXzeQyHw1EGz2FyOHUIuYpcoEpY\nfsmSJV6Vqr6O4XA4yuA5TA6nDuFL7zYxMVH1MRwORxncYHI4dQgterd1SSNXq7ydx+PBoEGDEB8f\nDwC48847kZ6eHujT59RzaudTw+FwRKFbIJTq3Wo5Jlh89tln6NSpEz799FOMHDkSS5cu9fr9+fPn\nsWHDBqxduxaff/45cnJycPz4cZw7dw533HEHVq9ejdWrV3NjyTEE7mFyOHWI++67Dzk5OXj00UcB\nVFXkbty4UajIVXpMbeXAgQOYOHEiAGDgwIE1ipNatmyJ999/X+ihdDqdCA8PR0FBAQoLCzF+/HiE\nh4dj5syZfJgzR3d4lSyHwxFFSwsLoFxUXkre7pVXXkGHDh3gdrtx7733Yvfu3TWOJfJ2ZWVlmDt3\nLn788UdcvXoVw4YNw/79+7Fw4UKsW7dOj4+BwxHgHiaHwxFl+/btcDgcWLNmDfLz85GZmSnZwkI8\nPrvdDgBYvXq1z9fXU94uISEBZrMZQJVeb2FhofoL5nB8wHOYHA5HFC0tLMeOHRNE5f/6178iPz9f\n1XtqlbfLysrCRx99JJzDLbfcou5iORwFcA+Tw+GIoqWFJSIiwi9Rea3ydpMmTUJGRgZ2794Ni8VS\nq/O0nLoLN5gcDkcULe0o8fHxaNu2rfDfRFS+efPmit4zPDwcixcvrvHzxx9/XPjvQ4cOiR67bNky\nRe/B4WiFh2Q5HI4oWtpRsrOzkZmZCQBcVJ5T7+AeJofDEUVLC8vYsWMxc+ZMPPbYY8IxtVUkgcNR\nC28r4XA4HA5HAXzrx+FwOByOArjB5HA4HA5HAdxgcjgcDoejAG4wORwOh8NRADeYHA6Hw+Eo4P8B\nvtEZXQGX8qgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117028f90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatterplot_3d(corpus, coor=pca_coor, outputfile=\"/Users/mike/Desktop/3d.pdf\",\\\n",
    "           save=True, show=False, return_svg=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pystyl.analysis import distance_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dm = distance_matrix(corpus, 'minmax')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pystyl.visualization import clustermap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117d18b90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KYzIXV4g1tjqbWHP6mzNiTaTiedLp5b+NdAadWBMYFijW1JSo5UYFBMkvd5Vx11XViTV6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fx56b1r/Goqc6ph72yDOdwEjU4T8AFWab5/eXkrhj7QH8vuS8eE10bh0IojARu41Y/9gu6XJODL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\nTxmSgZOQkJCQkJCQeMr4/zZkgkh2K2GeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117d18c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clustermap(corpus, distance_matrix=dm, fontsize=8, color_leafs=True,\\\n",
    "           outputfile='/Users/mike/Desktop/cm.pdf',\n",
    "          show=False, save=False, return_svg=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pystyl.analysis import hierarchical_clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "cluster_tree = hierarchical_clustering(dm, linkage='ward')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pystyl.visualization import scipy_dendrogram, ete_dendrogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1176a1910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FFZkaOzb2Bc2zz7aqujqi9evbdPhwWNdc0/Pk/ic/adauXd169dWgyspCmjWrZ2b16lb9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\nEl8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1191aa510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scipy_dendrogram(corpus=corpus, tree=cluster_tree, outputfile='~/Desktop/scipy_dendrogram.pdf',\\\n",
    "                 fontsize=5, color_leafs=True, show=False, save=F, return_svg=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ete_dendrogram(corpus=corpus, tree=cluster_tree, outputfile='~/Desktop/ete_dendrogram.png',\\\n",
    "                 fontsize=5, color_leafs=True, show=False, save=True, return_svg=False,\n",
    "              save_newick=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gYWGB+fPno2bNmoiKioJQKOQtUxKio6Ohq6uLatWqQVFREQYGBrhz5w4A4Pz583j+/LmU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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='/Users/mike/Desktop/ete_dendrogram.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}