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@nateve
Created December 16, 2016 10:22
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Reproduces some of the code in http://www.nltk.org/book/, especially from chapters 1, 2, 6, and 8.
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"*** Introductory Examples for the NLTK Book ***\n",
"Loading text1, ..., text9 and sent1, ..., sent9\n",
"Type the name of the text or sentence to view it.\n",
"Type: 'texts()' or 'sents()' to list the materials.\n",
"text1: Moby Dick by Herman Melville 1851\n",
"text2: Sense and Sensibility by Jane Austen 1811\n",
"text3: The Book of Genesis\n",
"text4: Inaugural Address Corpus\n",
"text5: Chat Corpus\n",
"text6: Monty Python and the Holy Grail\n",
"text7: Wall Street Journal\n",
"text8: Personals Corpus\n",
"text9: The Man Who Was Thursday by G . K . Chesterton 1908\n"
]
}
],
"source": [
"from __future__ import division\n",
"import random\n",
"import nltk\n",
"from nltk.corpus import brown\n",
"from nltk.corpus import gutenberg\n",
"from nltk.corpus import names\n",
"from nltk.book import *"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Chapter 1"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"text1: Moby Dick by Herman Melville 1851\n",
"text2: Sense and Sensibility by Jane Austen 1811\n",
"text3: The Book of Genesis\n",
"text4: Inaugural Address Corpus\n",
"text5: Chat Corpus\n",
"text6: Monty Python and the Holy Grail\n",
"text7: Wall Street Journal\n",
"text8: Personals Corpus\n",
"text9: The Man Who Was Thursday by G . K . Chesterton 1908\n"
]
}
],
"source": [
"texts()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Displaying 11 of 11 matches:\n",
"ong the former , one was of a most monstrous size . ... This came towards us , \n",
"ON OF THE PSALMS . \" Touching that monstrous bulk of the whale or ork we have r\n",
"ll over with a heathenish array of monstrous clubs and spears . Some were thick\n",
"d as you gazed , and wondered what monstrous cannibal and savage could ever hav\n",
"that has survived the flood ; most monstrous and most mountainous ! That Himmal\n",
"they might scout at Moby Dick as a monstrous fable , or still worse and more de\n",
"th of Radney .'\" CHAPTER 55 Of the Monstrous Pictures of Whales . I shall ere l\n",
"ing Scenes . In connexion with the monstrous pictures of whales , I am strongly\n",
"ere to enter upon those still more monstrous stories of them which are to be fo\n",
"ght have been rummaged out of this monstrous cabinet there is no telling . But \n",
"of Whale - Bones ; for Whales of a monstrous size are oftentimes cast up dead u\n"
]
}
],
"source": [
"# uses of 'monstrous' in Moby Dick\n",
"text1.concordance('monstrous')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Similar to monstrous in Moby Dick=\n",
"imperial subtly impalpable pitiable curious abundant perilous\n",
"trustworthy untoward singular lamentable few determined maddens\n",
"horrible tyrannical lazy mystifying christian exasperate\n",
"\n",
"\n",
"Similar to monstrous in Sense and Sensibility=\n",
"very exceedingly so heartily a great good amazingly as sweet\n",
"remarkably extremely vast\n",
"\n",
"\n",
"Similar to lol in Chat Corpus=\n",
"join part hi hey and wb ty yeah hiya lmao well oh ok hello all what\n",
"haha yes no you\n",
"\n",
"\n",
"Similar to beast in Book of Genesis=\n",
"fowl men good god cattle gold captain lord jacob brother anah herb\n",
"asses camels years thee silver bread canaan tents\n"
]
}
],
"source": [
"print 'Similar to monstrous in Moby Dick='\n",
"text1.similar('monstrous')\n",
"print '\\n'\n",
"print 'Similar to monstrous in Sense and Sensibility='\n",
"text2.similar('monstrous')\n",
"print '\\n'\n",
"print 'Similar to lol in Chat Corpus='\n",
"text5.similar('lol')\n",
"print '\\n'\n",
"print 'Similar to beast in Book of Genesis='\n",
"text3.similar('beast')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"a_pretty is_pretty a_lucky am_glad be_glad\n"
]
}
],
"source": [
"# common contexts in Sense and Sensibility\n",
"text2.common_contexts([\"monstrous\",\"very\"])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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G9njt+rGOy17jt9s379t9j/W4rddrM17fvcr7xT9ev736maj6eO+13WT6m8hxNVabsV67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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10d223f50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# word locations in Inaugural Address text, organized by year\n",
"text4.dispersion_plot([\"citizens\", \"democracy\", \"freedom\", \"duties\", \"America\"])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Lexical diversity of Moby Dick= 0.0740628558502\n",
"Lexical diversity of Book of Genesis= 0.0623045304262\n",
"Lexical diversity of Chat Corpus= 0.1347700511\n",
"Lexical diversity of Wall Street Journal= 0.123246851285\n"
]
}
],
"source": [
"#calculate a measure of lexical richness\n",
"print 'Lexical diversity of Moby Dick=', len(set(text1)) / len(text1)\n",
"print 'Lexical diversity of Book of Genesis=', len(set(text3)) / len(text3)\n",
"print 'Lexical diversity of Chat Corpus=', len(set(text5)) / len(text5)\n",
"print 'Lexical diversity of Wall Street Journal=', len(set(text7)) / len(text7)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"19317\n"
]
}
],
"source": [
"# create frequency distribution for words in Moby Dick\n",
"fdist1 = FreqDist(text1)\n",
"print len(fdist1)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[(u',', 18713),\n",
" (u'the', 13721),\n",
" (u'.', 6862),\n",
" (u'of', 6536),\n",
" (u'and', 6024),\n",
" (u'a', 4569),\n",
" (u'to', 4542),\n",
" (u';', 4072),\n",
" (u'in', 3916),\n",
" (u'that', 2982),\n",
" (u\"'\", 2684),\n",
" (u'-', 2552),\n",
" (u'his', 2459),\n",
" (u'it', 2209),\n",
" (u'I', 2124),\n",
" (u's', 1739),\n",
" (u'is', 1695),\n",
" (u'he', 1661),\n",
" (u'with', 1659),\n",
" (u'was', 1632)]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fdist1.most_common(20)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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AWVnZlt1Nk3pLlixhXlrVY3V1NWVlZfWm1JWXlzN79ux63hYvXrylH0nS+5HU\nmzt3LsuWLcvYj/Q9PRYsWFCvH23btq3TjyTp/ejUqdOWflRW1s0zk/1Iekoya9asev2oqqpq8P1I\n7UenTp0afD+S/UjVS38/kqxevbrB9yO1H506dWrw/Uj2I1Wvoc/V8uXLG3w/kv1ItpPp/UjtR6pe\nQ5+rhQsXNvh+pPYttR+ppPYjVW/27Lk8//wyLrwQ+vRxGz3ef/8ahgxZSJcute9Hr15w660LmDFj\nERUV8MgjcPbZndhhh8zvR2o/knrZPldLliwhnfR+dOrUKevv+bJly+r0LdvnatWqVXWuZfpcderU\nKevveWVlZR29bJ+rjRs31rmWqR+dOnXK+nteVVVVRy/b56p169Z1rmfqR4cOHbL+nic9pfYj0+dq\n4cKF9fqcqR9A1t/zVL2Gfs+XLFlCeXmd/2M3+Ln66quvsv6ep+q1tL8fnTp1qtOPadOmUVJSwgkn\nnMCwYcMoKSlh3Lhx9fqTCe+mbYtIDXCKqj6WON8NmAfsp6r/S4l7CXhXVceJyDDc46MdUkdpRGQB\ncJOq/lFEfgD8QVW7pdxvDWwAzlDVR0XkauBkVR2cEtMXNyKzv6q+LyL3AJ1U9bSUmKNwj7u6qmq9\nERqbtm0YTcMXX8BTT7mRmGeeaXiPpMGD3Qykk09234sU1qdhGPnTZHs5iUh7XCK0PnG+K3Aqrij2\n2Tz9Noiqfioiy3Ezk/6X0OyMq3u5PRFWiivuPRqYnojpD/QB/pOI+Q+wvYjsn1JHczQguHqcZMyv\nRGTHlDqaY3GPkWalxPxWRFqranVKzJxMyYxhGPGydCk8/DA89BC89pqbqZROu3ZuW4GSEjjpJNh5\n58L7NAyjsOTzyOlR3PRpRGR7XDLwC+BREbkgHxMi0lFE9hWR/RKXdk+c75I4vxm4QkROFpFBwN+B\nzxJekkXCdwI3ishRInIAcBfwuqq+mYiZjSvevUNEDhKRw4BbgWmqmtw67llc4nJvYq2Z44BrgdtU\nNTkmNxU3jfsuEdlHRL4LjAVuyNbHESNG5HwdMg1r5hMTZ1s+6vnoKXS95va0fLnbVuDII11yMnYs\nvPIKHH98bVy3bnDuuS7ZSY7cjBkDrVv737+W4il0PR89ha4X1VMU8ikKHgwkH2idgSuI3R+3/ss1\nwJ/zaPNA4N+44l+lNjm4BzhfVa8XkQ64NWO2B14FTtDaNWhIeKoGHgKKgGeAC9N0zgJuwz2eqknE\nXpy8qaotyvwcAAAgAElEQVQ1InJSog8zgXW4tWquSolZLSLH4kaH3sZN4Z6gqndm62C/fv1yvgjp\nzzfzjYmzLR/1fPQUul5zeCovh3/9Cx54wK3Ym2kk5qCD1jJwoBuJOfRQSCu3iNVTnG21VE+h6/no\nKXS9qJ6i0OgaGhFZD+ytqotE5AHgQ1W9OjGaMkdVO8TmLhCshsYworFypUti/vEPt3t1piSmf3/4\n7nfhzDNh4MD69w3DCIsmq6EBPgFOEZHpuIXpbkpc745bodcwDCMy69a5ot6pU2HGDEibcAHAnnvW\nJjGDBllRr2EY9cknobkGV0dyE/CCqiaLbo8FGlg43DAMo5aNG13yMm2aS2bSZrQCsPvuLoE580y3\n1YAlMYZhZKPRCY2qPiQirwE9cQvNJXmBDPswGYZhAFRXw0svuSTm4Yfhyy/rx/Tq5UZiRo2CAw+0\nJMYwjOg0epaTiNwFrFPVd1U19Qn3h8D42JwFxsSJE3PGZFoMKZ+YONvyUc9HT6Hr5etJFd5+G37+\nc9hlFzjmGNh997I6yUzXrvCTn7iamUWL4MYboX37skjJTHP3r7ljTC98T6HrRfUUhXweOZ0L/BJY\nk3a9PW469/lbaypEpk+fnnPrg169euVsJ0pMnG35qOejp9D1Guvp449dTczUqTB3bt2Y6dN70bGj\n209p1Ci39UC7dlunV4iYQuv56Cl0PR89ha4X1VMUIs9ySixmJ7idp/sBn6fcbg2cDPxeVeNzFwg2\ny8nYFli61M1OmjoVSkvr32/bFkaMcEnMySe7fZQMwzBy0RSznL6kdp2YjzPcV1LWazEMI3w2bXJF\nvXfe6Yp80/9/JAJHHQVnnQWnneYeLxmGYTQFjUlohuFGaF7ELaK3MuXeJmChqi6N0ZthGJ5SVuaS\nmPvug7Q9/gC3X9JZZ7kCX9t2wDCMQhC5KFhVX1bVl4DdgEcT58njP5bMZGfo0KE5Y9J3f803Js62\nfNTz0VPoehUVFaxeDX/9KxxyiFsL5uab6yYzu+4Kf/xjBR995B45/eIXmZOZlvoaFFrPR0+h6/no\nKXS9qJ6i0OhZTqq6EOgsIseKyNkick7qEZuzwBg+fHjOmPSt5PONibMtH/V89BSqniq8+io88UQ5\nPXvC6NHw5pu199u1g5Ej4bnnYP58OOaYcvbeuzC+42zLRz0fPYWu56On0PWieopCPlsfnAzcD2yH\nWxk4tQFVVXtKnoYVBRstjeXL4e9/d4+VPs5QMbfvvvDDH8L3vmd1MYZhNC1NufXBDbidrH+lqhnW\n9zQMoyWyeTM88wxMmQJPPOEWwkulSxeXwPzwh7D//rbonWEYfpFPQtMbuMWSGcMIg08+gbvugnvu\ncVOv0xk2zCUxp50G7dsX3p9hGEYU8kloZgAHAvNj9mIYRoHYsAGmT4c77nAr9KbTqxecdx6cfz7s\nsUfB7RmGYTSaRhcFA08Ck0RkgoicLiIlqUfcBkNh/Pjcu0LMnj07lpg42/JRz0dPLUVv1iwYNw56\n93bTqv/9bxg/3sW0aeNW7338cVi4ECZOrE1mQnoNWoqej55C1/PRU+h6UT1FIZ8RmjsSX6/McE9x\nqwYbabz11luceeaZWWO6RqiujBITZ1s+6vnoyWe99evhgQfcaMzMmfVjPvusK9ddB+ecAz16FMZT\nHDGh6/noKXQ9Hz2FrhfVUxQaPcvJaDw2y8loDt57zyUx990Hq1fXvVdUBGecAT/+MRxxhBX4Gobh\nL005y8kwDE9ZswamTXOJzNtv17//9a+7JObss226tWEYYdHohEZEMj1q2oKqXpO/HcMwGosqvPWW\nS2KmTYN16+re79DBLX734x+7VX5tNMYwjBDJpyj41LTjTGA88AvglPishcWgQYNyxlRWVsYSE2db\nPur56Kk59D77rJLbboP99nOJypQpdZOZwYPh7rsrWbbMLZA3ZEjmZKYlvwYh6/noKXQ9Hz2FrhfV\nUxTy2fpg/7Tj60BP4AXgpticBcbIkSNzxixevDiWmDjb8lHPR0+F0lOF11+Hc8+F++9fzEUXwf/+\nV3u/UycYM8btpVRaCgccsJjOnQvjO862TM9PT6Hr+egpdL2onqIQW1GwiAwCHlfVvrE0GBAiMrio\nqKh05syZWYuCq6urad06+ySxKDFxtuWjno+emlrvyy9dce/kyW6na4Ciomo2bnRxQ4a4R0rf/S50\n7FgYT03Zlun56Sl0PR89ha4XJaY5ioK7JA4jAxs3bswZE+WDFiUmzrZ81PPRU1PoJWtjJk92tTFf\nfVU3rn371oweDT/6kdv9uhCeCtWW6fnpKXQ9Hz2FrhfVUxTyKQoem34J98jp+8DTcZgyjG2ZNWvg\n/vtdIvPee/Xvf/Ob7rHSGWfYVgSGYRhJ8hmhGZd2XgN8DtwD/G6rHRnGNsr778Of/+ySmbVr697r\n3NktfDd6tJt6bRiGYdQln6Lg3dKOPVR1iKr+SlXXNIXJEBgzZkzOmHnz5sUSE2dbPur56CnftjZu\nhKlTYehQN1tp8mQ4++zamIMPdjOUli6FW2+tm8zYax62no+eQtfz0VPoelE9RWGramhEZGcAVf0s\nHjvhsmLFipwxxcXFscTE2ZaPej56amxbCxe65GXKFPj887oxX35ZzOjRbjRm//3j0StEjOmF7yl0\nPR89ha4X1VMUGj3LSURaAVfg1p3ZLnF5DXADMFFVa2JzFwi29YEBUFMDM2a4x0pPPOGKflMZOBD+\n7//cKr65plobhmFsKzTlLKeJwA+BXwKvJ64NBSYAxcCv82jTMIJl82Y35XriRPjkk7r32rSB0093\niczhh9sqvoZhGPmST0JzLvAjVX0s5dr/RGQJ8CcsoTEMwCUy06bBNdfUT2R23pktU64b2uHaMAzD\niE4+Wx90BWZnuD47cc/IQJ8+fXLGrF+/PpaYONvyUc9HT6lx1dWu0HfgQDczKTWZOeOM9UyfDp9+\nCldckTmZ8bF/PnoKXc9HT6Hr+egpdL2onqKQT0LzPvDTDNd/mrhnZGD06NE5Y+bPnx9LTJxt+ajn\noyeAefPm889/ukXuvvc9+Pjj2nvDh8Orr8JVV83nlFPco6at1bPXPGw9Hz2Fruejp9D1onqKhKo2\n6gCOBNYCs4A7E8csXGHw4Y1tb1s4gMHdu3fX0tJSzcZXX32V9X7UmDjb8lHPN0/V1aoPPqg6dOhX\n6kp9a48jjlD997/j9xRnWy3VU+h6PnoKXc9HT6HrRYkpLS1VQIHBmuVvbT7r0LwM7AVMB7ZPHP8C\n+qvqq1udYWVARFqJyLUiMl9E1ovIJyJyRYa4a0RkaSLmORHZM+1+kYjcLiIVIrJGRB4Ske5pMTuI\nyP0iUikiq0Rkioh0TIvZRUSeFJF1IrJcRK5PzP5qkPLy8pz9bKnT7gqt54snVXjqKTjgAPjOd+C1\n12rjhg6FF16Al16Co46K31OcbbVUT6Hr+egpdD0fPYWuF+e07bzWoVHVpRS2+PeXwGjgHNxo0IHA\n3SLypareBiAi43GPvc4BFgC/BWaIyABV3ZRo52bgBOB0YDVwO/AwcHiK1lRgJ+BooB1wNzAZODuh\n0wp4ClgKDAF6AfcCm3DT2Y1tgNdeg8svd19TOfRQuPpqOOYYm7FkGIZRSCKP0IhIPxGZJiL1VsgQ\nkS4iMlVE9o7X3hYOBR5V1WdUdZGq/gt4Fjg4JeZi4FpVfUJVy3CJTS/glITHzsD5wDhVfVlV3wV+\nABwmIgcnYgYAxwE/VNW3VXUmcBEwUkSS5ZvHAXsD31PVD1R1BvAb4EIRiXOzT8ND3n0XRoxwU6xT\nk5nBg91ozeuvw7e+ZcmMYRhGoWnMI6dLgcWqujr9hqpWAotxIylNwUzgaBHpByAi+wKH4UZKEJHd\ngB7ACymeVgNv4JIhcKM6bdJi5gCLUmKGAKsSyU6S53HP7g5JiflAVStSYmbgdhof2FAHRo0albOT\nixYtiiUmzrZ81GsOTx9/DCNHusTl6ZQtWPv3hwcfhLffhoEDF+VMZHztX0v0FLqej55C1/PRU+h6\nUT1FoTEjCkeSeOzSAA/gHtc0Bb8HOgOzRaQal4j9WlX/kbjfA5d0pO8vsCJxD9xjpE0ZErLUmB5A\nnWIXVa0WkZVpMZl0kvcyzvQqKipqsHNJampyL7IcJSbOtnzUK6Snzz6DRx+tYdw4Nx07SZ8+MGEC\nfP/7tTOWWmL/WrKn0PV89BS6no+eQteL6ikKjRmh6UPaH/s0KoBdts5Og3wXOAsYCeyPW9zvUhH5\nfhPpxc6bb77J2LFjKSkpqXNMmjSJigo32NO3b18AVq5cSVlZWb025s6dWy8xWrNmDWVlZVRVVdWL\nT898N2zYQFlZ2ZZ5/0m9JUuW1NsgrLq6mrKyMnbYYYc618vLy5k9u/4yROvXr9/SjyTp/UjqzZ07\nl2XLlmXsR+/evetcX7BgQb1+9OjRo04/kqT3o2/fvlv6UVlZmbEfSU9JZs2aRUVFBRs2wG9/60Zg\n/v73zlxzjevH174GN9/spmQPHTqXzz+v7Uffvn0bfD+S/UjVS38/krRt27bB9yO1H3379m3w/Uj2\nI1Wvoc9VVVVVg+9Hsh/JdjK9H6n9SNVr6HO1du3aBt+P1L6l9iOV1H6k6jX0uVq7dm2D70eqXkPv\nR2o/knrZPlcbNmwgnfR+9O3bN+vv+bJly+r0LdvnqlWruv+MZ+pH3759s/6eV1ZW1tHL9rnabrvt\n6lzL1I++fftm/T2vqqqqo5ftc9W9e515Gxn7scsuu2T9PU96Su1Hps/V2vRt7sn8uerWrVvW3/NU\nvWyfq+rU/yXR8OeqQ4cOWX/PU/Va2t+Pvn371unHtGnTKCkp4YQTTmDYsGGUlJQwbty4ev4yEXkv\nJxFZDpylqi82cP9o4H5VjX3dUxFZBPxOVf+ccu3XuDqWfRKPnOYB+6nq/1JiXgLeVdVxIjIM9/ho\nh9RRGhFZANykqn8UkR8Af1DVbin3WwMbgDNU9VERuRo4WVUHp8T0BeYD+6tqvREa28up5aAKjz4K\nP/+5W/wuSefOcOml8LOfQdq/54ZhGEYTEnUvp8aM0LyCK5BtiLFAk0zbBjoA1WnXakj4V9VPgeW4\nmUnAliLgQ3D1NwClwOa0mP64kaf/JC79B9heRFL3OD4aEFw9TjJmkIjsmBJzLFCJm4FltFA++giO\nOw5OPbU2mWndGsaOhfnz3cq+lswYhmH4SWMSmt8BJyTWbjk4MbOpi4gcIiIP42b//K5pbPI4cIWI\njBCRXUXkVGAcbv2bJDcnYk4WkUHA34HPgEdhS5HwncCNInKUiBwA3AW8rqpvJmJm4wp87xCRg0Tk\nMOBWYJqqLk/oPItLXO4VkW+IyHHAtcBtqlp/3C5Bly5dcnYy07BfPjFxtuWjXtyeKivdiMw3vgHP\nPVd7b/hweO89+MMfqujWreE2GqsXR0yh9Xz0FLqej55C1/PRU+h6UT1FIXJCk5j5cwZwBG6UYmXi\nmIlbx+XMbENBW8lPgYdw68bMAq4H/gxcmeLvelzyMRk3mtIeOCFlDRpwSdATibZewq0lc3qa1lm4\nfameT8S+glsDJ6lTA5yEGzGaiUuc7gauytaByy67LGcn58yZE0tMnG35qBeXp5oaeO65Oey1F9x0\nk9tMEmDXXeHhh+H55+HrX/fzNSi0no+eQtfz0VPoej56Cl0vqqdIZFtGONOBSxROxU3jvgy3zkuH\nxrazLR3A4H79+uXc+mD16tVZ70eNibMtH/Xi8PTWW6oHHaTar9/qLdsUFBerXn216vr18evFHVNo\nPR89ha7no6fQ9Xz0FLpelJioWx9ELgo28seKgv1h1Sr49a/hL39xaUyS73wHJk1yozOGYRiGP0Qt\nCraVbY1tAlX4+9/dTKXPP6+9PnAg3HorDBvWfN4MwzCMrafRm1MaRkujrAyOPBLOO682mdluO/jD\nH9xWBpbMGIZhtHwsoSkQI0aMyBmTvnhTvjFxtuWjXlRPn366jEsugf32g1dTFhT4znfcFO1f/AIq\nKlrma1BoPR89ha7no6fQ9Xz0FLpeVE9RsEdOBaJfv345YzKtUplPTJxt+aiXK0YVHnoI3ntvLTfc\nUHu9Xz+47TY49tj4PcXZlo96PnoKXc9HT6Hr+egpdL2onqKQV1GwiOyB26l6D+BiVS0XkROARar6\nYWzuAsGKggvHwoVwwQV1N5AsLnaFwJdeChG21DIMwzA8oilWCgZARI4EPsCtwnsakFw7dV/g6sZb\nNYytp7oa/vhHV+SbmsyceCJ8+KFb5deSGcMwjHDJp4bm98AVqvotIHXRuheBIbG4MoxG8MEH8M1v\nun2W1q1z13r1gn/9Cx5/HHbfvXn9GYZhGE1PPgnNIGB6huvlwI4ZrhtGk7Bhgxt5GTwY3nyz9voF\nF8CsWW5PJpHm82cYhmEUjnwSmi+Bnhmu7w8s2To74TJx4sScMZm2fM8nJs62fNQrKyvj5Zdh331h\n4sTaLQv23tvNZvrTn6BLl7Bfg0Lr+egpdD0fPYWu56On0PWieopCPgnNP4DrRKQHbiniVolNHP+A\n29fIyMD06ZkGterSq1evWGLibMs3vS+/hAcf7MVRR8HHH7trbdvClVe6jSSHDi28p21Bz0dPoev5\n6Cl0PR89ha4X1VMUGj3LSUTa4TaJPA9oDWxOfJ0KnKeq1bG5CwSb5RQPL70E55wDixfXXhsyBKZM\nccXAhmEYRng02SwnVd2kqj/GTdk+CTgb2FtVv2/JjNEUbNoEl18Ow4fXJjPbbee2LHjtNUtmDMMw\njDwW1hORoar6mqouAhY1gSfD2MKcOfC970Fpae21o46Ce+6BPn2azZZhGIbhGfnU0LwoIp+KyP8T\nkX1idxQoQ1OLOxqgoqIilpg422ouPVW44w43gymZzLRpA9ddB//8Z0WkZKalvwY+6fnoKXQ9Hz2F\nruejp9D1onqKQj4JTS/gBuBIoExE3hORS0Vk59hcBcjw4cNzxpSXl8cSE2dbzaFXUeGmXP/kJ7B+\nvbvevz/8979w2WVQURH+a+Cbno+eQtfz0VPoej56Cl0vqqco5LX1wZYfFtkNOAsYBewNvKKquf9y\nb2NYUXB0nn0Wzj0Xli+vvTZ6NNxwA3Ts2Hy+DMMwjOahyYqCU1HVT3ErB/8Stx3CkVvTnrHtUl3t\ndr8+7rjaZGbHHeGRR+Avf7FkxjAMw8hO3rttJ9ae+R5wBlAMPApcHpMvYxti40Y4+2y3Q3aSY4+F\nu++GnpmWcDQMwzCMNPKZ5fQ7YCSuluY54GLgUVVdH7M3Yxtg3To47TT3qAlc4e+kSTB2LLTaqvFD\nwzAMY1sinz8ZRwCTgN6qepKqTrNkJjfjx4/PGTN79uxYYuJsqyn1Vq1yIzHJZKZ9e3jmmdn87GfZ\nk5mQXoOWouejp9D1fPQUup6PnkLXi+opCvksrHeYqv5JVeOba7UN8NZbb+WM6dq1aywxcbbVVHrL\nl7v1ZGbOdOedO8OMGTBo0LbzGrQkPR89ha7no6fQ9Xz0FLpeVE9RiDTLSURKgKdVtSrxfYOo6mNx\nmQsFm+VUlwUL4Fvfgk8+cedf+5pLZvbfv1ltGYZhGB4SdZZT1BqaR4AeQHni+4ZQ3L5OhpGRWbPc\nY6YliX3Zd9kFnn8e9tqreX0ZhmEYLZtICY2qtsr0vWE0hrffhuOPhy++cOf9+8Nzz7mkxjAMwzC2\nhkYnJyJyjogUZbjeTkTOicdWeAwaNChnTGVlZSwxcbYVl95LL8GFF1ZuSWYGD4ZXX62fzIT8GrRk\nPR89ha7no6fQ9Xz0FLpeVE9RyGe05W9AlwzXOyXuGRkYOXJkzpjFya2ktzImzrbi0HvySTcy8+1v\nu5gjjoAXX3S1M83lyfRavqfQ9Xz0FLqej55C14vqKQqN3vpARGqAnVT187Tr+wL/VtX4SpYDQUQG\nFxUVlc6cOTNrUXB1dTWtW2cvQYoSE2dbW6v3r3/ByJFQVQVFRdUcc0xrHnzQTdFuLk+mF4an0PV8\n9BS6no+eQteLEhN3UTAi8i6u6FeBF0Rkc8rt1sBuwDNR29vW2LhxY86YKB+0KDFxtrU1ev/4h1sB\nuLranZ9ySmvuvRfatm0+T6YXjqfQ9Xz0FLqej55C14vqKQqNWSk4ObtpP2AGsDbl3iZgAfBwPLaM\nls4998D550NNjTs/91y4806I8bNrGIZhGFuInNCo6tUAIrIA+KeqbmgqU0bL5q9/hTFjIPk088c/\ndhtM2lYGhmEYRlORz0rB91gy03jGjBmTM2bevHmxxMTZVmP1br0VRo+uTWYuuggmT3bJTHN5Mr0w\nPYWu56On0PV89BS6XlRPUchnc8rWwDjgTKAP0C71vhUFZ2bFihU5Y4qLi2OJibOtxuj94Q9w6aW1\n1y65BK6/HkSaz5PphespdD0fPYWu56On0PWieoqEqjbqAK4BlgK/AL4CrgCmABXA2Ma21wjdXsC9\nCZ31wPvA4Aa8rcftBL5n2v0i4PZEG2uAh4DuaTE7APcDlcCqRN86psXsAjwJrAOWA9cDrbJ4Hwxo\naWmphsq116q6cRl3XHGFak1Nc7syDMMwWjqlpaXJCUl1/uanH/lUNXwP+LGq3gBsBqap6o8SycSQ\nPNrLiYhsD7wObASOAwbgEqpVKTHjgZ8CPwEOxiUbM0QkdQTpZuBE4HTcruG9qF/IPDXR/tGJ2COA\nySk6rYCncKNbQ4BzgfNw/d/mUIUrroDf/Kb22rXXuiM5MmMYhmEYTU2jHznh9nT6IPH9WmoX2XsC\nuDYOUxn4JbAokTglWZgWczFwrao+AW5FY2AFcArwgIh0Bs4HRqrqy4mYHwAficjBqvqmiAzAJUwH\nqOq7iZiLgCdF5BJVXZ64vzcwTN2O4x+IyG+A34vIBFXdzDbEr34Fv/997fkf/gC/+EXz+TEMwzC2\nTfIZofkM6Jn4fh5wbOL7g3AjKE3BycDbIvKAiKwQkXdEZEtyIyK74RKtF5LXVHU18AZwaOLSgbgE\nLjVmDrAoJWYIsCqZzCR4HjfUdUhKzAeJZCbJDFxiN7ChDvTp0ydnJ9evXx9LTJxtZYu5/vraZKZP\nn/Xcdlv2ZKYQnkxv2/EUup6PnkLX89FT6HpRPUUhn4RmOu5xDMCtwLUiMhf4O3BXXMbS2B24AJiD\nS6D+DNwiIt9P3O+BSzrSK29XJO4B7ARsSiQ6DcUkdxTfgqpWAyvTYjLpkBJTj9GjRzd0awvz58+P\nJSbOthqKmTIFxo+vPb/99vlceGHzejK9bctT6Ho+egpdz0dPoetF9RSJbAU2UQ7c6MbPgZO3tq0s\nGhuBV9Ou/RF4PcVDNW5LhtSYf+JqfABGAV9laPsN4HeJ7y8HPsoQswIYnfh+MvB02v32QA1wXAP+\nB3fv3j1nUfBXX32V9X7UmDjbyhTz8MOqrVrVFgBPnNi0evnEmF74nkLX89FT6Ho+egpdL0pMUxYF\npydE/1HVG1X18a1tKwvLgI/Srn2EmzYObqaR4EZhUtkpcS8Z0y5RS5MtpnvqzcQ09a5pMZl0SImp\nx4477sjYsWMpKSmpc0yaNImKCvf0Kjl9beXKlZSVldVrY+7cuaxatarOtTVr1lBWVkZVVVWd68uX\nL2fRokV1rm3YsIGysrItQ3xJvSVLltRbC6C6upqysrJ6Wza88EI5b789e8sKwD//OVx+ucuyk/1I\nkt6PpN7cuXNZtmxZxn6kL4O9YMGCev0A6vQjSXo/iouLt/QjfUfX8vJyZs+eXW/K4KxZs+r1Y/36\n9Q2+H6n9KC4ubvD9SPYjVS/9/UjyxRdfNPh+pPajuLh4Sz/SSfYjVa+hz9XixYsbfD+S/Ui2k+n9\nSO1Hql5Dn6tPPvmkwfcjtW+p/UgltR+peg19rj755JMG349UvYbej9R+JPWyfa4WLFhAOun9KC4u\nzvp7vmzZsjp9y/a5Ki+vM6icsR/FxcVZf88rKyvr6GX7XK1du7bOtUz9KC4uzvp7XlVVVUcv2+eq\nJvmPTYJM/Wjbtm3W3/Okp9R+ZPpcffLJJ/X6nKkfVVVVWX/PU/Wyfa6WLFlS51pDn6vVq1dn/T1P\n1fP570emz1VxcXGdfkybNo2SkhJOOOEEhg0bRklJCePGjavXn0xE2pxSREoitQao6mNRY6MiIvcD\nO6vqkSnXbgIOUtWhifOlwCRVvSlx3hk3snKOqj6YOP8cVxQ8PRHTH5cYDVFXFLw38CFwoNYWBR+L\nm9W0s6ouF5HjgceBnpqooxGRnwDX4aaA1/1kuPuDgdLS0tKsm1P6zptvwvDhsG6dOz/3XLjrLlsB\n2DAMw2g64t6c8pHcIYAbEmqK3XpuAl4XkcuBB3AFuj8CfpwSczNwhYh8gttX6lpcAfOj4IqEReRO\n4EYRWYVbh+YW3GOrNxMxs0VkBnCHiFyAWzTwVtxjq+Toy7PALODexFTxngmt2zIlM6Hw0UcwYkRt\nMvPtb7s6GktmDMMwDB+I9OdIVVtFPJpk60FVfRs4FVcH8wHwa+BiVf1HSsz1uORjMq4upj1wgqpu\nSmlqHG56+UPAS7hF+E5PkzsLmI2b3fQE8AqwpaJXVWuAk3A1OzNxxdB3A1dl68OoUaNy9jPTo5V8\nYuJsa9GiRSxcCN/6Fnzxhbt21FFuJ+02berGFdJTFEwvbE+h6/noKXQ9Hz2FrhfVUxTyWYemWVDV\np3CPfrLFTAAmZLm/EbgocTQU8yVwdg6dxbikJjJFRUU5Y9KfFecbE2dba9bUcNppkHzUO3gwPPoo\npK9WHZeej6+B6fnpKXQ9Hz2Fruejp9D1onqKQqQamjo/IHJltvuquk2umJuNllpDs3o1DBsG7ySe\nWO61F7z6KnTvnv3nDMMwDCMu4q6hSeXUtPO2wG64bRDmsY1uARAaGzZASUltMrPzzvDcc5bMGIZh\nGH7S6IRGVfdPv5aYQXQ3btE9o4WzeTOMHAkvv+zOu3WDZ5+FCIsdG4ZhGEazEMscFXWr715F0+3l\n1N5OSiAAACAASURBVOLp0qVLzpj0tQDyjdmatlThJz9xdTIAvXpV8fTTMGBA0+g1VYzphe8pdD0f\nPYWu56On0PWieopCnJNuu1C7UaWRxmWXXZYzZs6cObHEbE1b48fD3/7mvm/XDu67bw4HHdR0ek0V\nY3rhewpdz0dPoev56Cl0vaieIpFtGeFMBzA27bgY+D2wBJja2Pa2hQMY3K9fv5xbH6xevTrr/agx\n+bZ13XW12xmIqD74YNPqNWWM6YXvKXQ9Hz2Fruejp9D1osRE3fogn1lOn6ZdqsGtwPsibk+kNfmn\nV2HSEmY53XUX/PCHteeTJ7tHT4ZhGIbRnDTZLCdV3W1rjBn+8cgj8OOUNZcnTrRkxjAMw2hZ2ML1\n2zgvveRmNCXXNvrZz9xmk4ZhGIbRkmh0QiMixSJyqYg8JSJvi8g7qUdTmAyBESNG5IxJ39E135io\ncf/97zJKSiC5IerZZ8MNN4BI0+gVMsb0wvcUup6PnkLX89FT6HpRPUUhn4X17gSOxe2H9CauUMfI\nQb9+/XLGrF27NpaYKHEffwyPPrqWNYmKpxNPzLxzdlx6hY4xvfA9ha7no6fQ9Xz0FLpeVE9RyKco\nuBIYoaqvx+YicHwrCl6xAg45BBYudOdDh8KMGdChQ/P6MgzDMIx0ohYF51NDswSwmUwtFFU4//za\nZGbQIHj8cUtmDMMwjJZNPgnNL4DrRGTXuM0YTc/kyfBUYs/yHj3cyMz22zevJ8MwDMPYWvKpoXkb\nKAbmi8h6oM66xaraNQ5jRvx8/DH84he153fdBT17Np8fwzAMw4iLfEZopgG9gV8BFwHj0g4jAxMn\nTswZU1ZWFktMpriqKvj+92H9end+wQWwyy5Np9fcMaYXvqfQ9Xz0FLqej55C14vqKQr5jNB8EzhU\nVd+PzcU2wPTp0zn++OOzxvTq1StnO1FiMsX9v/8Hb77pvt9rL5g0CTZubDq95o4xvfA9ha7no6fQ\n9Xz0FLpeVE9RyGeW0zvA/6nqf2NzETjNPcvpjTfgsMOguhpat4aZM+HggwtuwzAMwzAaTVPOcvol\ncIOIHCUi3USkc+qRr2GjaVi3zj1qqq5257/5jSUzhmEYRnjk88jpmcTXF9KuC26RvdZb5ciIlUsu\ngblz3fcHHwy//nXz+jEMwzCMpiCfEZphiWN42pG8ZmRg6NChOWMqKipiiUnGPfUU/OUv7rxDB7jv\nPmjTpm5MnHo+xZhe+J5C1/PRU+h6PnoKXS+qpyg0OqFR1ZezHbE5C4zhw3PneuXl5bHEACxeXM75\n59ee33gjpO++EKdeXG21VE+h6/noKXQ9Hz2Fruejp9D1onqKQj5FwUdku6+qr2yVowApdFGwKpx2\nGjzyiDs/8US3GnDqppOGYRiG0RKIWhScTw3NSxmupWZFVkPTzNx9d20ys+OOMGWKJTOGYRhG2ORT\nQ7ND2tEdOB54C7cLt9GMzJ8PY8fWnt9xh9viwDAMwzBCptEjNKpameHycyKyCbgROGCrXRl5UVPj\nNp5M7sZ+/vlwyinN68kwDMMwCkE+IzQNsQLoH2N7QTF+/PicMbNnz96qmDvvhJcTZdnXXjubm29u\nWr2maKulegpdz0dPoev56Cl0PR89ha4X1VMUGp3QiMg30o59ReR44C/Ae7E5C4y33norZ0zXrrn3\n9WwoZulSuPTS2vNDD+1Kp05Np9dUbbVUT6Hr+egpdD0fPYWu56On0PWieopCPrOcanBFwOllpv8F\nzlfV+NKtQCjELKfTToPp0933557rCoMNwzAMo6XTlLOcdks7rwE+V9UNebRlxMDDD9cmM927ww03\nNK8fwzAMwyg0+RQFL2wKI0Z+rFoFP/1p7fktt0C3bs3nxzAMwzCag8g1NCIyXERmZdqAUkS6iMiH\nInJcvPbCYdCgQTljKiszTSDLHnPppbB8ufv+5JPhzDPzbyvfmELr+egpdD0fPYWu56On0PV89BS6\nXlRPUWhMUfDPgDtUdXX6jcRU7snARXEZC42RI0fmjFm8eHGjYl580c1sAujUCf70p9oF9Brb1tbE\nFFrPR0+h6/noKXQ9Hz2Fruejp9D1onqKhKpGOoCFwIAs9/cGFkVtb2sO4Je42p0b065fAywF1gPP\nAXum3S8CbgcqgDXAQ0D3tJgdgPuBSmAVMAXomBazC/AksA5YDlwPtMrid3BRUZGWlpZqNjZv3pz1\nfmrMunWqe+yh6jY6UP3Tn/Jva2tjCq3no6fQ9Xz0FLqej55C1/PRU+h6UWJKS0sVNxlpsGbJDRoz\nQrMTUJXl/mbga41oLy9E5CDgJ8D7adfHAz9N3DsYl2zMEJF2KWE3AycCpwNHAL2Ah9MkpgIDgKMT\nsUfgRp+SOq2Ap3D1R0OAc4HzcMlUg2zcuDFn31q3zr1rRDJmwgSYN89dGzoURo/Ov62tjSm0no+e\nQtfz0VPoej56Cl3PR0+h60X1FIXGJDRLgK9nuf8NYNnW2cmOiGwH3Af8CPgy7fbFwLWq+oSqlgHn\n4BKWUxI/2xk4Hxinbmfwd4EfAIeJyMGJmAHAccAPVfVtVZ2Je4w2UkSSGwgchxuN+p6qfqCqM4Df\nABeKSD6zxhrNO+/UzmRq185tb9AqziUSDcMwDKOF0Zg/g08B14pIcfoNEWkPXA08EZexBrgdeFxV\nX0zT3w3oAbyQvKau1ucN4NDEpQNxoyqpMXOARSkxQ4BViWQnyfO4oa5DUmI+UNWKlJgZQBdg4NZ0\nLgpVVfDDH7ptDgB+8xvYe++mVjUMwzAMv2lMQvNboCvwsYhcJiLfThzjgTmJexObwiSAiIwE9gMu\nz3C7By7pWJF2fUXiHrhHZpu0flFzakwPoDz1pqpWAyvTYjLpkBJTjzFjxjR0awvzks+QsvDQQ/N4\nL7Ee86BBcNll+bcVV0yh9Xz0FLqej55C1/PRU+h6PnoKXS+qpyhEfkSiqitE5JvAn4HfUbtSsOJG\nKC5U1fQ/9LEgIjvj6l+OUdVsdTzesmJF7pemuLje4Fcd5s6FRx5xMa1awZQp7pFTPm3FGVNoPR89\nha7no6fQ9Xz0FLqej55C14vqKQqNqrxQ1YWqOgLYEfcIZgiwo6qOUNVPY3NVnwNwBcfviEiViFQB\nRwIXJ3b5XoFLsHZK+7mdcLOQSHxtl2EdnfSY7qk3RaQ1bvQpNSaTDikx9ZgzZw5jx46lpKSkzjFp\n0iQqKtzTq969ewOwcuVKysrK6vy8KjzyyFzWrnVv2cUXw8EHw5o1aygrK6Oqqm6eV1VVxaJFi+pc\n27BhA2VlZaxfv76O3pIlS+plydXV1ZSVlbHddtvVuV5eXp5xM7HKysot/UiS3o+k3ty5c1m2rG65\nVbIf3bvXeflZsGBBvX5069atTj+SpPejd+/eW/qRvtZBsh9JT0lmzZpVrx/t27ev935k6kfv3r0b\nfD+S/UjVS38/Umno/UjtR+/evf9/e2ceLkdVNO63CASSAIGIgRBI2AKET9BERfZdEIQAgrKIgICA\nymKUH7ggm+gHArK5sAuoxJVVifCxo2waQAwkMZBEAoQlJGQlEHLr90edzu3p29PTczN3pqdT7/P0\nc/v2nDlV3X2mT3WdOnWq3o/oPOLy0toVwMKFC6vej+g8onrS7kf8POLyqrWr2bNnV70f8XOLn0ec\n+HnE5VVrV7Nnz656P+Lyqt2P+HlE8rLa1bx580iSPI/BgwdXvR/RecTPLatdLVmypOJY2nkMHjw4\n83c+Z86cCnlZ7WrllVeuOJZ2HoMHD878nS9evLhCXla7WnPNNSuOp53HOuusk/k7j3SKn0dau5o9\ne3aXc047j9VXXz3zdx6Xl9WuFi2qTLBfrV2ttNJKmb/zuLysdrVCItiyCP3H4MGDK85jzJgxjBo1\nir333ptdd92VUaNGMXr06C7nk0bdazm1AhHpBwxNHL4RmABcoKoTROQ14CJVvTR8Z3XM0DlSVf8Q\n/n8LOFRVbwtlNgt1bKOqT4nI5sDzwCeiOBoR2ROLH1pPVV8PC3HeBQyK4mhE5HjgQmwKeBcPUiPW\ncrr5ZlujCWCDDWD8eOjXr1tVOY7jOE7b0JNrOTUdVV0AvBA/JiILgLdVdUI4dBlwpoi8CEwDfgC8\nAtwR6pgrItcDPxGR2VgemiuAv6vqU6HMRBG5B7hWRL4K9AauBMaoauR9uTfo8qsQPzQoyPppTw2H\nzZoFp53W+f/Pf+7GjOM4juPEaefJvhWuJVX9MWZ8XI3NbuoD7K2q78eKjcZmYv0ReAhLwndQot7D\ngYnY7KY/A48AS7O8qGoHsC+wBHgMuBnzFp2dpeyQIUNqnlDa0APA974Hb71l+8cdt5C9965ZVdW6\neqJMs+UVUaeyyyuiTmWXV0Sdyi6viDqVXV5enfLQtgaNqu6mqt9MHDtHVddV1b6qupeqvpj4/D1V\nPVlV11LV1VT186qanNX0jqoeoar9VXVNVf2Kqi5MlJmuqvuq6qqquraqnhEMnaqckMx8l8KUKVO6\nHHvqKbg6pPVbdVU4/viuZfLW1VNlmi2viDqVXV4RdSq7vCLqVHZ5RdSp7PLy6pSHtoihaXdEZOTA\ngQPHjR07NjOGZtGiRRUR30uWwCc/Cc+ErDiXXAJf+9qiXFHhybp6skyz5RVRp7LLK6JOZZdXRJ3K\nLq+IOpVdXp4yeWNo3KBpAt0NCr7ySjjlFNvfcksYNw5WWqlndHQcx3GcIpLXoGnbIaeyM2MGnHlm\n5/+/+IUbM47jOI5TDTdoCsq3vgVzQ07jY4+F7bdvrT6O4ziOU2TcoGkShx12WM0yUSKj++6DMWPs\n2IABcMEFXcvkrasZZZotr4g6lV1eEXUqu7wi6lR2eUXUqezy8uqUBzdomkQyu2YaHR0dvPcefP3r\nncd+/GNYa63KMnnIU65RZZotr4g6lV1eEXUqu7wi6lR2eUXUqezy8uqUBw8KbgL1BAWff76toA2w\n3Xbw6KO2bpPjOI7jLI94UHAbMmUK/DCsV96rlwUCuzHjOI7jOLXx7rIgqMJJJ0G0Vtmpp8JWW7VW\nJ8dxHMdpF9ygaRL9+/fP/Py22+Cxx6KVjeGcc9LLJVdFrUaeco0q02x5RdSp7PKKqFPZ5RVRp7LL\nK6JOZZeXV6c8uEHTJE4//fSqn82fbx6Z00+fBMBll8Fqq6WXnTRpUi55eco1qkyz5RVRp7LLK6JO\nZZdXRJ3KLq+IOpVdXl6dcqGqvvXwBowcNmyYjhs3TtO47jpVUB02bK5+5jOqHR2pxVRVde7cudU/\nrLNco8o0W14RdSq7vCLqVHZ5RdSp7PKKqFPZ5eUpM27cOMUWpB6pGX2tz3JqArVmOY0aBXfdZfuP\nPw7bbNNc/RzHcRynqPgspzZh4UL4v/+z/XXWga23bq0+juM4jtOOuEHTYu67r3Nm0377+TRtx3Ec\nx+kO3n02iX322Sf1+B13dO4fdNCMmvXMmFG7TN5yjSrTbHlF1Kns8oqoU9nlFVGnsssrok5ll5dX\npzy4QdMkhg0b1uXYkiWdsTN9+8KQIfNr1jN/fu0yecs1qkyz5RVRp7LLK6JOZZdXRJ3KLq+IOpVd\nXl6d8uBBwU2gWlDw44/b8gYABxxguWgcx3Ecx+nEg4LbgPhw06hRrdPDcRzHcdodN2hayJ132l8R\n2Hff1uriOI7jOO2MGzQtYvJkmDDB9rfbDj784dbq4ziO4zjtjBs0TeKH0TLagcg7A7D//vZ3/Pjx\nNevJU6aRdRVRXhF1Kru8IupUdnlF1Kns8oqoU9nl5dUpD27QNInbEhG/cYMmip9Zd911a9aTp0wj\n6yqivCLqVHZ5RdSp7PKKqFPZ5RVRp7LLy6tTHnyWUxNIznKaORPWXhs6OmDTTaGRa3M5juM4Tpnw\nWU4F5u67zZiBzuEmx3Ecx3G6jxs0LSBtuMlxHMdxnO7jBk2T2GGHHQBbt+mvf7Vja60F227bWWbm\nzJk168lTppF1FVFeEXUqu7wi6lR2eUXUqezyiqhT2eXl1SkPbtA0id122w2ABx+EBQvs2L77Qq9e\nnWXefPPNmvXkKdPIuooor4g6lV1eEXUqu7wi6lR2eUXUqezy8uqUBw8KbgLxoOBrrx3JVVfZ8Vtv\nhQMPbKlqjuM4jlNoPCi4gHR0dMbPrLwy7Llna/VxHMdxnLLgBk0TmTgRXnvN9vfYA/r1a60+juM4\njlMW3KBpIg8/3Lnvs5scx3Ecp3G4QdMkzjjjDB56qPP//fbrWmbixIk168lTppF1FVFeEXUqu7wi\n6lR2eUXUqezyiqhT2eXl1SkPbtA0iX/84x+8+KLtb701DBrUtcyAAQNq1pOnTCPrKqK8IupUdnlF\n1Kns8oqoU9nlFVGnssvLq1Me2mKWk4h8BzgQ2Bx4F3gMOENV/5Modx5wHLAG8Hfgq6r6YuzzlYGf\nAIcAKwP3AF9T1TdjZdYEfgrsC3QAfwJOVdUFsTLrA1cBuwDzgJuBb6tqRxX9RwLjYBwwkvPPh+99\nr9uXw3Ecx3GWG8o2y2lH4ErgU8AewErAvSLSJyogImcAJwHHA1sDC4B7RKR3rJ7LgM8CBwE7Aeti\nBkucW4DhwO6h7E7A1TE5KwB3AysC2wBHAUcD5+U9GV/uwHEcx3EaS1t4aJKIyFrAm8BOqvq3cOw1\n4CJVvTT8vzrwBnCUqv4+/P8WcKiq3hbKbAZMALZR1adEZDjwPGYFPhPK7AX8BVhPVV8Xkb2BO4FB\nqjozlDkBuAD4sKp+kKLvUg/NhhuO5KWXQKSnro7jOI7jlIeyeWiSrAEoMAtARDYE1gHujwqo6lzg\nSSBaXOATmFclXmYS8HKszDbA7MiYCdwXZH0qVubfkTETuAfoD/xPNYW33HJLwLwz1YyZOXPmVPt6\nXWUaWVcR5RVRp7LLK6JOZZdXRJ3KLq+IOpVdXl6d8tB2Bo2ICDZ09DdVfSEcXgczOt5IFH8jfAaw\nNvB+MHSqlVkH8/wsRVWXYIZTvEyaHGJlunDooYcC2dO1p0+fXv3DOso0sq4iyiuiTmWXV0Sdyi6v\niDqVXV4RdSq7vLw65aHtDBrg58AWwKGtVqQefve73zFs2ClccskoRo3q3C666KKli3MNHz4cgFmz\nZjF+/PgudUyePJk111yz4ti8efMYP348ixcvrjjet29fXn755YpjixYtYvz48SxcuLBC3quvvspL\nL71UUXbJkiWMHz+eddddt+L4m2++mTrNTkS6LDKWPI9I3uTJk5kxY0bqeWyyySYVx6dNm9blPDbc\ncMOK84hInsfw4cOXnkfyLSA6j0iniBdeeKHLeayzzjpV70f8PIYPH171fkTnEZeXvB8R/fv3r3o/\n4ucxfPjwqvcjOo+4vGrtqnfv3lXvR3QeUT1p9yN+HnF51dqVqla9H/Fzi59HnPh5xOVVa1eqWvV+\nxOVVux/x84jkZbWrXvEF2gLJ8xg+fHjm73zGjBkV55bVrlZbbbWKY2nnMXz48Mzf+Zw5cyrkZbWr\ngQMHVhxLO4/hw4dn/s4XL15cIS+rXQ0dOrTieNp5bLrpppm/80in+Hmktau0EIy081h//fUzf+dx\neVntapVVVqk4Vq1drbXWWpm/87i8dus/hg8fXnEeY8aMYdSoUey9997suuuujBo1itGjR3c5nzTa\nKoZGRH4K7AfsqKovx45vCLwEfExVn4sdfwh4RlVHi8iu2PDRmnEvjYhMAy5V1ctF5MvAxar6odjn\nvYBFwMGqeoeInAvsp6ojY2U2AKYAI1T1Xyl6jwTG7b33OO6+e2TyY8dxHMdxqlC6GJpgzOwP7Bo3\nZgBUdSrwOjYzKSq/Ohb38lg4NA74IFFmM2AI8Hg49DiwhoiMiFW/OyBYPE5UZssQmByxJzAHeIEM\ndtqp5mk6juM4jtMNVmy1AnkQkZ8DhwGjgAUisnb4aI6qLgr7lwFnisiLwDTgB8ArwB1gQcIicj3w\nExGZjeWPuQL4u6o+FcpMFJF7gGtF5KtAb2y6+BhVfT3IuRczXH4VpooPCrJ+qqqVfrsE2223jBfC\ncRzHcZxU2sVDcyKwOvAQ8Fps+0JUQFV/jBkfV2PelD7A3qr6fqye0cCfgT/G6jooIetwYCI2PPVn\n4BHghJicDizp3hLM+3MzcCNwduYJnHgiq66afZLJccjulmlkXUWUV0Sdyi6viDqVXV4RdSq7vCLq\nVHZ5eXXKQ1t4aFQ1l+GlqucA52R8/h5wctiqlXkHOKKGnOmYUZObN95ITozqSjJArLtlGllXEeUV\nUaeyyyuiTmWXV0Sdyi6viDqVXV5enfLQVkHB7UoUFDxu3DhGjvSgYMdxHMfJS+mCgh3HcRzHcarh\nBo3jOI7jOG2PGzRNYsiQITXLJBMvdbdMI+sqorwi6lR2eUXUqezyiqhT2eUVUaeyy8urUx7coGkS\nJ5xwQs0yU6ZMaUiZRtZVRHlF1Kns8oqoU9nlFVGnsssrok5ll5dXpzx4UHATEJGRAwcOHDd27NjM\noOBFixbVjPjOU6aRdRVRXhF1Kru8IupUdnlF1Kns8oqoU9nl5SmTNyjYDZom4LOcHMdxHKd7+Cwn\nx3Ecx3GWG9ygcRzHcRyn7XGDpkkcdthhNcskl2vvbplG1lVEeUXUqezyiqhT2eUVUaeyyyuiTmWX\nl1enPLhB0yRWXnnlmmU6OjoaUqaRdRVRXhF1Kru8IupUdnlF1Kns8oqoU9nl5dUpDx4U3AQ8KNhx\nHMdxuocHBTuO4ziOs9zgBo3jOI7jOG2PGzRNon///jXLLF68uCFlGllXEeUVUaeyyyuiTmWXV0Sd\nyi6viDqVXV5enfLgBk2TOP3002uWmTRpUkPKNLKuIsorok5ll1dEncour4g6lV1eEXUqu7y8OuWh\n1znnnNOwypx0zj333EHTp08/4eCDD2bQoEFVy/Xp06fmbKg8ZRpZVxHlFVGnsssrok5ll1dEncou\nr4g6lV1enjIzZszgmmuuAbjmnHPOmVGtnM9yagI+y8lxHMdxuofPcnIcx3EcZ7nBDRrHcRzHcdoe\nN2iaxD777FOzzIwZVYcG6yrTyLqKKK+IOpVdXhF1Kru8IupUdnlF1Kns8vLqlAc3aJrEsGHDapaZ\nP39+Q8o0sq4iyiuiTmWXV0Sdyi6viDqVXV4RdSq7vLw65cGDgpuABwU7juM4TvfwoGDHcRzHcZYb\n3KBxHMdxHKftcYPGcRzHcZy2xw2aJvHDH/6wZpnx48c3pEwj6yqivCLqVHZ5RdSp7PKKqFPZ5RVR\np7LLy6tTHnzpgyZw7rnnDpo7d+4J++23X+bSByuuuCJ9+vTJrCtPmUbWVUR5RdSp7PKKqFPZ5RVR\np7LLK6JOZZeXp4wvfVAgfJaT4ziO43QPn+XkOI7jOM5ygxs0juM4juO0PW7QNIkddtihZpmZM2c2\npEwj6yqivCLqVHZ5RdSp7PKKqFPZ5RVRp7LLy6tTHtygaRIDBw6sWeaXv/xlQ8o0sq4iyiuiTmWX\nV0Sdyi6viDqVXV4RdSq7vLw65cENmm4iIl8Xkaki8q6IPCEin8wqf+utt9as89FHH21ImUbWVUR5\nRdSp7PKKqFPZ5RVRp7LLK6JOZZeXV6c8uEHTDUTkEOAS4GxgBPAv4B4RWaulijmO4zjOcoobNN1j\nNHC1qt6sqhOBE4GFwDGtVctxHMdxlk/coKkTEVkJ+Dhwf3RMLZnPfcC2rdLLcRzHcZZnVmy1Am3I\nWkAv4I3E8TeAzap8Z5VNNtmECRMmZFY8a9Ysnn66as6g3GUaWVcR5RVRp7LLK6JOZZdXRJ3KLq+I\nOpVdXp4ysb5zlaxynim4TkRkEPAqsK2qPhk7fiGwk6p28dKIyOHAb5qnpeM4juOUji+q6i3VPnQP\nTf3MBJYAayeOrw28XuU79wBfBKYBi3pMM8dxHMcpH6sAG2B9aVXcQ9MNROQJ4ElVPTX8L8DLwBWq\nelFLlXMcx3Gc5RD30HSPnwA3isg44Cls1lNf4MZWKuU4juM4yytu0HQDVf19yDlzHjbU9Cywl6q+\n1VrNHMdxHGf5xIecHMdxHMdpezwPjeM4juM4bY8bNM5yiYhsLyIrt1oPx3EcpzG4QVMARCQzWVCV\n79wqIquH/SMb3TmLyBYi8hkRGRXfGimjxYwFBrdaCQAR6SMifWP/DxWRb4jInq3Uq7uIyBo9UGcv\nEdmpJ+puV0RkPRFZ7p/h3Xl+FhVv58uGx9C0iPAg+h62DtTawKaqOkVEfgBMU9Xra3z/fWCoqs4Q\nkSXAIFV9swF6bQTcBmwJKCDhIwVQ1V6J8uuF468sq+wMnVLPT0Q+BLwJnBs/rqrn5ahzHvBRVZ1S\nhx5rqOo7ecvXUe+9wK2qelV4kE0EFmNZqb+pqr/oAZlrAFsDA0m82KjqzSLSB3s+LAzlhwIHAi+o\n6r2xes7A2uvvwv+/Bw7CcjIdA0yI1ftyQofV8+qrqnNFZBEwXFWnZpzX+lbc2qOIbA0cHvS+Jq+8\n8N0HgM8l73nQ+3ZV3a2e+nLKPBL4naq+lzjeGzhUVW+OHZsLfKyeNpwi75PArqS3g292o77eVep6\nOXy+MfANYHj46AXgclV9KVbHisAuwMbALao6T0TWBeaq6vxQpubzU0R2ytJVVR+p9/xqISKbBL0f\nUdV3RUQ00cmKyFnAxdFvK3a8D/D/gO9So53HvlPzWuXUewVgE9Lv3SMisgGwLvCUqn6Qt96mo6q+\nNXkDOoApwHQs4d5CYKPw2SHA4znqeA54DevQO4CTgCNTtgXArDxbqPcu4HasM52HPXh2AJ4Edgxl\nVgDOAuZgSQaXAO8A3wdWSDnX56tcgwewdbGGAccDZ4Z6l26xsgNT6lgXeBf4ZWy7Iec9mBdd8yqf\nnwEcEvv/9+E8X8UMIcL/aXp9CDMAb621hfIzgf8J+8dhq7evAHwemJCh4+rAAdjDL358jVDP/wID\nwrGRwOCwvx8wN1zXd4DZsS1qB/cCJ8bqex1rr+8CX43JmgpsF/Y/HerYE7guXIMlQc6SKm1g7Pma\nawAAIABJREFUSY1t6XeBfwK717ivjwJfCvvrhDb6GPBW1J7q/J2m3d+BwOLY/+diLxdZdT0ArFHl\nHj4Q+z+rTS1JHMtswznO77vhHCcADwEPxrYHEmU3Bs4HxkT6AXvH2u2wcO2z7t9ewHvYs+QnYXsS\nSzb66VBmaNBnAfABnc/Fy4GrYvqcBbxExvMzyE5uS3XrxvVaEdgDOAFYLRxbF1g13J/7YjIifW4A\nLknUk3mP87TzOq/Vy8DNwLHAxin1bIP1R9H9Sl6vw7AXrA5sRu86OXTbJNzvPuF/SSmT2aa61aa7\n+0Xfur8BR2NGxAvh/6UPJmBzYHaOOrbDOpMFdBoUs1O2+cBRYftmkDsGOCVsY8Kx0aHemcBWYX8O\nsFnY3w14Juz/L2ZIfRXYKmxfC8d+mHKuB1S5BueEH9IHWIf5LPBMbJsedFyCPXxPiW2jMU/SM928\nB4cD/TI+z+qo7w3HswytD6g0tFK3UH4hMCTs/x44O+yvDyyM1ft74KSw3wf4D/A+9rA5KBzfKtyH\nyeF41K7OB24O+/8BLgP6Zpx/LiMLM3DWD/uXY6vQA2xKjXYM7Jx3C+U/E9rFvsAgzBhYuoUys+ls\ns6cAfw/7ewJTwv5PqmyXhM8vBW4K93cXOtv4VsAI4DuYFyA6j2fD/b4fa1crp5xrXuOoA/hwSrmP\nEozN2LGqBg3WOf4M84DMJP3l5Q3g6By/lZ2xNvp/mEEStalvA38M+38HHsY6pI8FfZduocwzwAUp\n9V8APB32bwd+BfSm8rm4CzA59p0XCZ0+VZ6fQP/Ethb2W34ifKeeF71M4wEzGP4KrJfQZy8SL3QZ\n93g3zPCu2c7rvFZHANdgv/sO7Ln6a+ArmCH6LPZsGY69vCSv2yTsZXVN7Lk1Adgko93VNOzI0aa6\nszW9M/dt6Q19l/BWl2iMWwDz66yrA1g7R7k/ETrExPGTMBc6WIewYdh/Cdg17G9M6Fwxz9ColHr2\nB16tU/f/AmdU+Wxq2Dqwt4ypsW0Slgb7Uz14f6p11AtpoKGFedtOwQyYOdg6YWDeq9dj5V6ns3M4\nHDNa+mKGZWRs3gf8OKVdbUfohLGHcuabPfmNrNfoNPwmAZ8P+5thb94V3rZlvCepb9pUegHmAxuE\n/TujtgUMAd4N+w9W2R4InyuV3qXktgA4JqHbCOAKrEOaDfwC+CSdhlCmcYR1YE8Hmc+F/Wj7F+ZR\n+31C5lnYUGzatbob68DOwF4ejopvocwMYFiO6/44NvSZbFNbA6/E2tTmNepZlCYP+00tCvtv02mQ\nxmVtkGh33X5+Yp3pVOp70cs0Hqj8bcY/3yjSJ7SLWeEeR/vRFnm7f0aOdl7PtUqc+yDgUMygWRzq\nXUAVAyV2bzeI/X99TLeRmIET/f5yGXZ52lR3Nk+s1zpeAHbEOvQ4B2MPt3rYEHhfRL5F59j088D1\nqjo3Vm4v7AGX5K/YWxLAeOytairmDj49xOscj3lTAAZgcR5JJobP6mFN4A9pH6jqhgAi8iAWyzC7\nzrqXhdlY5z0de2M6MxwXbF2R0WH/ROyHHfE+1kGdWIes84BbMM/A/ar6eDi+J5VtoT/28CPo9CdV\nXSgifwGiJTc+ibnEk7yKDcGAGYKfoPN+pvEicICI3Ia1m0vD8YFY5xpxK3CLiEzG3s7GhuMjsAfh\nhtUEiMhWGfIrUNXnsFiPWjwPnBiuyaexN0swr9nboa5a9WyA3dsp2AM2njDzfeBNVY3fc1T1GeCZ\n8BvcD/gy5rVYiU4D6YEUWe8CJ2NtDcy7cQ9mmMVlTsNeSOKchnVMaewI7KCq/6ryOdg9/ToW05LF\nlpgBneRNzOsB9jxbK6VMnLew85ucOP6xUBeYF7AXXYk6yIhleX6+gXlIbgIQkT9hBvdPY2WuEJGT\nsCGmS4Os7VT1fVvpZinTsMkFS7CXgCQDMA8E2HUWzFtxNmbERLyPvXA8HuLQ8pD3WhEmHeyAGWC7\nYr/P8dhQ40exIaIXq8iZir3QTgNQ1WNF5CrMOHoJM8r7h7J7YklmX0lcp8mYlysiT5uqGzdoWsd5\nwE0iMhhrmJ8Tkc2wuJd966zrw9ib3LvYUgxgbx3fE5G9VHVcOPY25kW5JPH9/cNnYEMT/cL+WcCf\nsbHxt7HxabA3xpOwN5k4J4XP6uEP2I/gqmoFcnRAPUFWR/2sqo4MhtaBuoyBwqr6RxH5G/aAiF+/\n+zFvT8R0YFsRmYUZNIeG42vSuejpe5hrOsmRwLwwU+0vwEUisgXwb+xNLa7PneQ3skZjD7r1gdO1\nMxBxEOYduS7j1J+lMvC8Ggr0UtWHa5QDM9hvw4Irb4p16KPo/G1kC1ONOskVwGb8YR6e3lEZEYmu\nUxLBjJjeYf9JLGh1A8ybF18puItxJCLTsKDgPIvYZl23idiwZBYXA38RkZcwAyHZDj4Xdt/B7ufU\nxPdHYIYy2HX/sYh8l/Q2NRe4FrgmTDx4LHy0PTbMED2T7sU6/uOjr4rIqlic0t2xKms+P1MMZgnn\n8W2s7UXkedGrZTyMC7IjA1pDoO3pmPePmAE1FXhMVRd3rQ5U9eEQtH8slcHT16tq3AjKda1E5DHs\nXkWxUhdgw5CR0bMxcImIrEPKvcOM5m9gz6NIx3/EPr89tt+P2oYd5GtTdeOznFqIiOyIGQ0fxQLL\nngbO09gskpz1PIpZ11/REIEeot+vw1x5O4VjR4djY7EHLcCnsM7xK6p6Y5X6B2Dj0hr+3xnrFF/G\nXIcA22Kd2j6q+mgdun8HM77+QvqD8IpQbj2sU6roWEKZumdj5NBrJeBU7JxuDG/giMhDmOv/5yJy\nKWH2VxqN1ktEvoYNf83Hrv0IVe0QkZMxD9auInIdZoB9AfPmbIW9PUaddK0fvGqYyRYecIOAf6lq\nRzi2NTaDosJDl9bph8rSOv3oO0OrfZai1H/Dd5IP+uexQPClD3oR6YXFGsyOHdsAc8PnngkoIhti\nxtFW1JjxJyIfx7wyh2EP7puB61T1xfD5ycCZqrp2Ttkfj59j1P4SZarO1Auzly7AOv7xpBgYIvJT\nLD7qQcxroYkyXw51XYw9Jz6PDWONxIy0m7G4rHNFpCP+1bgqhDYl9sr+DeBbmMcMrPO6GFvYV8Pv\n/J7wvWFYgOwwrAPeKX7/aj0/g05pBvMT2JDhxFDuv0F+xYte8LadoqpDReR3wBxVPT5c960wj9Md\n2G/xEqzDfxqLhbkT+B+sI99eK2dxDSGbgZgxtYhOI/yTmIG6p6o+HerJda3CC1AHZgA9FLaJVa5N\nRPSZamJmaxYicjcwTlW/H7tO/wV+i00YOTiUq9mm8sqskO8GTfsjIu9inVtaJ/NPVY3nOPkU5lmJ\nHpYTsB/zk+Qk/CA/wNzVm8fq+Tmwoiam59aoK2mhx1FV3UhEdsceEFOCvPF0Dgs8rT0wfbYaca9M\n2K+G9oReoaMbggUmLwjHPosZnI+JSH/gj9iQ0mpYjMs62EN87+g7DdRnI8ybtWV0KPzt0unnrC/N\nMFJVvUtEPoE9wOOeyC4P+kYhIndhxuBx2Jvkp7AO6hLgtMhwF5F/Y+3yXswLcVdySCoYoz/F4lm6\noGE6togMxB7+u2BvsWCBmg9i07aXDn+JyOHAHWn3VESGYd6gkcmP6DQw5oU6/1LjOvTGYjuOxrwU\nH2De/d9gQcVLwktOVYLXYWkqABFZDRuO3B2bHHFPTN6KmPdxKzoNld+o6rtZMlL0ThrMHcBbSe9X\nnhe9PMZD+O2dRKWB9TNVnZGQFxla1XiMHC+oseOHJGRWXKtgSG6JtamdgZ2wdv0E9kL62wxd4h7L\nmojIR8hh2FVpU72wNnt08veTW74bNK1FauRtyFnHG9hU1XsTx/fCrN1cb4V1yMvMC1NvJ5ZD3lPA\nWFU9O3orxcZafwP8VRuUpyUMx4xV1cVSI4lgluehkYjIT4Dvq+qCsJ+l01KPkIhsT+whp6r3xT7L\nleskGBBfIN3z8rlQJtnpb415iCo6/RznWTP/UYYn8g1gkqpuJyLPkNFZqGqyg8/SaSawm6o+JyJz\ngK1VdZKI7IbN2BgRyn0f8xK9GjoPNPFgFZFk/NdKWED3+5jnaEAo9zsskPRIVZ0Qjm2Bzbp6UVUP\ny6n7U1gncTnp3peHg2dir+SLUEad62P3px8WhP5i4vPMYRLpgXxLjXh+hnpqvuhVM7TCOXwXawM1\n83GJyEcTh1bChlq+ieXW+Q01XlCDB/lq4AeaI19NrA7BJhuchE15X6EHntdrYC+7mYZdKBu1qVWx\nNpWMr6pPths0rSG8Qd2AzT6p+Ij63XxXYEnPTqNybPoiLHD0G7GymQmUcsrrwHIRJA2aodjbVr/0\nby4tl7eTVlX9VjBiPqaqL4WOYQdVfT48GO5Q1Q3y6F2L+HklXOhpejX0IZChU90eoeDR2p30e3xM\nHoNURA7F3L/3YHEz92KzUdYGbosNR+Tq9HOcZ01vSIYn8qfYEEJfETk7S049ruzQ1kaq6lSxOJPj\nVPVBseRw/054Po/F4omGhUOTgcs0I4YoPAN+AVwUeSjCNdxDK2MUoqG+e1U1VwZZEVmIXatJGWW+\njHkhvqyJJG8pZTPPLxi/mcMkoa3sHH67x2HB0COwNBCHY51gJtGLRN7nZ/AcnUalkXVRXkM7dv6r\nJD07ic/nAx9R1Wn11Juo47NY7NdwcryghrbysVoGjYiMxLwzu2CBwathw/sPYVPtt8BmU/4y8b1j\nsODpC+s8j1Uwoy/t+RPdv4+o6vgq3z9AVW9P+6wWHhTcOm7E3qD2xaZPLotleVr4/s103tPF2MPy\n21EhEdkGc+kNpevYqZIe9LaUmPGhwHnhoRnRC+uEnu3yxa6MwN5Kov1qRNdkAZ0eghlYENvz4f9u\nR8R3Eaa6Qtp+K9FYQLTmCI4OHfpZmEu8WruSKsfXo3PmxXexKas/CwblqZihcXWoN6IXncGFM7HY\niEnYuPlmtfSNsS1mGM0MxuQSVf2bWIzVFVg7mYt5i5Iehbuwsfi6DJYc5Jnxh4ich71dX0llTNml\nIjJEVc9Kq1xVJ4vIt7Ggy2jodgW6BmUSjtXTJv+JxX9VNWgwj8TGwBtiwcjJOJuRkPv8LsXuQ9ow\nyWXYMEdfOtvKnpi3pkNE/h/WJmt1YvFn1I3UeH6KyBFY3pRbsTYE9qJ3v4gcraq3pHxnFbp6I+cC\nb4rN+Ps1FiSffOG5HxvOmVbjHLKYhBmB1wPXi0jaC+qYWPnbscSal5LNU1gg/8PYkOgjWhlzdjmd\nEz7iPI8NR+U2aETkM9j09gFk9zH3iMgOSWNMRA7C+rHMl+Kq6DLmhvCtexs58jZ0o86+mPtuS1KS\nplEjgVKO+qN8HR3YlNR4Do97sM6uZl6LbpzX7diDEiyAcDLmmh0H3NeD92h34EfYQ/mG2HZ9q9tP\nhs4zCJlyUz7LneuEWO4JbIbblmF/ODAjVuejhMSJmLE8Fnv43gSMr0PvPPmPrsBmeh2CddbrY0MA\n0zFvQby+3piBNiS+1Xkt98KCrcG8mhND238LM76icm8Bh6V8/zBgZg0ZH8OCrKP/78A6nnVjxwZj\nb9O31aH757EO6WhsiCGe/yZKnHl21lbP+WFxTV2eZ9jbf3T/cuVbynl+efLeTCDkkUkc/yaVySH7\nYvFNb5KSrTqUORCbkbkQ+41dBnwiVseJ4fjF4bqMim8J+asntv6YQftb7BndGxsqfC+mxyLMcFk5\nVs+Z2O/mj9jU6Xg+rFPi8mpcp0WE317i+EaE/EB13JfJWGxMZl40bCbWS8SyDmO/6wWEXFbd2br1\nJd+WfQP+gQ2dNFNmZgKlOur5Za0fSYP13ij2EO6HTfF+DsvLMbSHZJ4dHiRPYgbVbfGt1e0nQ++3\nSUlvHjuns7FO+SIqO7DvhAdx71D2FTqNmOcIHRr2Zj4nVmeuTj+H3tUMozsJhlGeBz02LJaZgn8Z\nr+8AqEzjjgXvVksY907YH5XY9sc6wfFY3Fb0nfUxw/P98MB/CfOcPA2sV4ee1dL+130dcp7fG9jQ\nUrLMXsAbYf/gcF5LCNm2w/HvxK9BTp1qPj9DO+nyvAvtdFHs/yij8kGYwfJlzFiYDnwx8d3Vwuf3\nYh6i/2Ae0bTrvfS6p9ybtPb5X4KRF8rVekGdmrFNSSn/cSxr8BHYUGp0fDJwREr5L6XVU+Oaz6XK\n8yel7JWh/Q/AhhwXEjKed/v3uSxf9q3Oi11ple+GuRN3wYIoU9NbN1j+A8BnWn0d2mEjw9NR5A1z\nD3+/RpmjgFVqlLmFzkye38feXq/FXOq31vhul04/h97VDCONHZ8SfitVH/TkSMHfA9f8SuAnKccv\nxoIho04saVy8Hq7zoMT3BEvodnLY9uiGTkOztkTZeEc3opvnl8t7hs24G0FszTcskHzz2P/9gH0w\ng6+a16Hm8xMLID8hRe8TqVwa4GVgl7A/l2AEYR363RnXeAvM+KzXQNyFyqU9dsQ8NCv2UPscSKdn\nPcpM3IENk30Yy5UzEzPUojZyTDj2nTpl3QAcW0f532BG4QJg/2U9Vw8KbiIp0/XSYhnqDgquQ/6B\nWOK8i0jP+fJco2U2kkbNaMgp620swPWlmoVbTCKwegXMYHkubMl7nCs3jljuoVVU9TXpTBC2HfY2\nd742IWtz0GEyltvoyfD7WVtjU5dTvrMA+LjmnLmzDLrFr/mK2NDOy9hUWLB4siFYEOfJie+uAKBd\n4zCizzODuhugfiQna4r4f7BhJMhxfuG3eRFmLHSJ49PEjLoMnUZgSeH6YobNLCxObiEWsL5RKJcn\n781XsaGhG6iMRTkaOFVVrw51zQe2UNWXReQVzIB+SiwP0b9VddWYfqtgHrbDsYDqN4AxqhqPVawV\nQPwhVX077K+PranUB7hT6wxWDnX0xqbAv6QpK2HXmjkXzuUCzGiM4ocWAReq6nl16tIXG5p7i659\nzEewRK1xVsI8rPdi3lig+7NI3aBpIlKZq2ED7O0lOd9+BWys/6YekF+ImTv1IiKbYoFyyzwjrA6Z\nF2JrsPyg0XU3mhqznyJ2AJ5Q1R3D7J2qP3xVHSAiN2Md2yOtNOpE5BosA+sMrAN9ha6/GQDUchb9\nA4ub+FsP65Xnmge1ls4+qzkTqlZQt6oemKFTXWkHanR0Q7BhmNznF77fF4t7AutgM2dPpZzDQ5gx\ndSIWZ/NRrFP8NXC5qt4ayu1crY6g1MOh3IFYIr/4dOyLVPWOmMzngJPVprLfh2UCP01ETsGyX68X\nZhgdjgXhfoDFrfxGw8xQsWSO3w16rw1sqqpTROQH2JIG14vIlljg9PrYvT8UmxnWD7vPfYGDNecM\nn3Ctr8ReYIjJvBJbU++CUC7XzDmxLMPDMUN2cl4jNFHnsVhIwCJs+Dvefjcg47kTo9vPdDdoWkSe\nqbM9IHNo1udaRwKlZiIif8ceIheQ/pCvd7mFanIa7ukoCiJyFPBbVX0v7FdFVW8Syzi8Ezb88yo2\njPMQ8LAuY66IegkzJzbBhjXOIrFODbBy+HsVllDwfKxzqZaCv+lkzBQ6CbhUw0woEZmBdaK/6oaM\nutIONGqKeCMRkXewBWcnhf1tVXWCWJ6Ym1R181jZWnlvbgr/Z6ajEJHR2LDRFSKyB2Z0REtYfFNV\nLw8zOv+MDZHcrYllC0TkLOx5cRY2NPuRYFwcAnxDVbcVkbF0Pse+hM3Qugfz0IC1jY+r6jY5r9Xl\nmMfpG5hhtFWQuT9wjnbmSZoH7Kiqzya+PwL7PactldItROR17Hd6QTUPZE/iBk2LqOY+l5y5XJZR\ndtVsrD0lc1lo4jBC3W/d7UjwvjyEPcwyvS9ia+XsROd4/6bYLKf1elrPFF1+icVRJBfea+lQbh5E\n5C1M9zGJ44cBV6rqWuH/pg11NrOjq0Ont7BFICeLyH8wz8k9IrI5llK/XyiXJ+/N7Vgszn+xiQw3\nquprOXQYisUVvRgNw4vIasl2l/hOFK9zv8SWpAh6P66qa0plzqZVsXidT2pYay+UfSKvISmWGPEQ\nVX0iIXMTLJnm6qHcHdhQ4mHR+YstUbAaFieTaQRo55peeXSaFc6pJV5dz0PTZKQyl8sPpPu5XLoj\nOzMbKzXy0LSQPCv5LjPamkUwW8F7WH6ia0XkNbK9L7Mx1/FsLM7iAypXn24aGpL5pRC/bxuQMZTb\nA2rlZSVsGCnJOCqfw9dhQxvLPNSZEYujqnosNkngchGJd3SDCQuSLqv8bvIMZphMxtrleSKyFubR\niCdiq5n3RlUPEJEPh+8eBZwbhpRuAG6Pe1mqXSuxRUiPiRszkpKrBptan7Za9Qp05twagAWCo6rz\nw4taPBZtNmZk5OXDdK5SHicawoo4CYtPmSYi08OxDQmzF2lAW4txExYY/qPkB2EI7xpVXRT2q6Jh\nDb96cQ9Nk4l5AXbGXM/vxz5+H5tFcnFPuPUl59o0RUBE4m+HhRxGaHeyvC8i8iMsWDRapTcyeh7R\nJgQEd5dWDOXm1OtKYHFyqFJskb4+qvr18P/lWMzQsgZ114zFEQtIjdbaiTq69THDYZTmSOPfaILn\nZTW1jMwDsSRrUTD6MdHwstSxfl3ss5HYTJ7jsAVef42tP3c4ta9VP2wG4RewWVVJnsWGDn+d8Jac\nBXxaLXatwisfym2lIbmciKwNvJa3jYrII8AfVPXKeF2hrQ1T1c/EygpmsC2NJdLYciiNQixr/ZFY\nXqtk+z0WW4vqbcmxhl935LuHpslEXoDgPj+1yZ1xnmysReEdug4jJN8ao6GFonqWik6W9+XbYf9c\nbJr2f1qiYf1Uy4K8KjY80TxFKmOyFDhORPYkZaZQrNxWdHpoP5Kosp63zxOxRf6qxuKo6vTQye9B\nbJHZnujo8qKq/4ztv4nNJEqjWtbo9ekaY4WIDAI+HbYl2EyqLTHv77vUuFbAjzFP4FexTLhfx7wy\nJ2C/lfnATeElYQXgcyKyGda57xur50YRiYJtVwGuCp4a6IwFy8t3gbHBiFsRODXsb4e9oMTZLWyR\nB2qE2OKmDZ05h13TaGX4ZPsdp2F2l6pu2ECZS3EPzXKE1LE2TauRFs8IKzN5vC9i62TtHMrtiHkP\no3IPFc3AiRkPp2JBmWlDuUtUdfsm6tSymKxasThiixv+FTixJ7zBPY3kWL8unOMozCuzJ+YxuA64\nJXqRFJsF9SfMo1E17kNEXsZmgz0kInOx5+iLIvIlLDZlHxHZEfP0xBdlPE/DmkzhJbYmGUOraXpt\nhCUmjMu8UFX/HSuT6a3DjN+L6Rxyq1iyoFFeTamxuG6lSP1Wt2S4QbP8ILZa8SWqeruI3AKsiQ3l\nHI8F3SYt6kJQ1GGEdiV4597C4hByeV+CgTOaHlqhd1lp5VBuEZEcaQfiAbjN0yybMOxSs3OVHHlv\nQhDuCtj6R9cmg59DPWtgbeOSGtcqd66aZiE5UytIjZlzYrOvhmDLP6QNud2R9r1u6NvjBr4bNMsR\nYrkU+qnqrSES/s9Y3MTbWLT8Ay1VsArJsefY8R6fEVZG8nhfwpj7CCpX6V0de8t9WFVHN1vvPLRo\nKLcQSJ1pB0TkUuA9jSWFazX1dq6SkfcmeE/+oClJ7rpxrWrmqgn1NjP5Z5RaYWOganB/Dm9d6my3\ndsQNmuUcsWyss7WADaGIwwhlJM37EoYnV8WC+6IH5aOq+k7VipyWUu8bcAgePRILuB2HpZ+PF2p6\nrqVmda7duFaZuWqwmJwbaGLyz6UCaqRWqOWtE5EXsDWrnkn7vJ3woODlHFWd1WodMoiClAULNksO\nI/wLc087dVDL+xKKHYEZMMudp6Nd0RxpB0RkKzqnP38Ei7kA6wQrqmugavUwncQwU0+Q51olyl8a\n279PLGfM0lw10pn8c1/S41R6klqpFVYBjg+GWBcPFJaY7wIROUFVp/W8uj2He2icwrM8DyP0BO59\nWX6Jx6OJyBQsCdrbrdYrIswC+xaWpG5ai9WpQDLW2MJyr/R48s+EPrlSK1TxRu0Q25+H5a5ZEfOC\nJ4fcBjRS757EDRrHWc4Qkc/i3pflkhBPkXuxzybplFxbrHCda46ZQuvRhDXEEjrVHdwf+27m8idx\n2mkWqRs0juM4ywlS52KfTdKp8J1r2kwhaXHyz0alVpA6lkIpOm7QOI7jLEdI7cU+AVDVy5upFxS3\nc02bKSQFW0Osu6kVRORazDDKnC3VDrhB4ziOsxwiVRb7bCVF7VzTZgq1Ovlno1Mr1Jot1Q64QeM4\njuMUiiJ0rvXkqsFSSzQ1+Wejg/tDTp8dsCUedgFGYnm+irQkTiY+bdtxHMcpGkVY5T3ZkWetsdWK\nNcQaklqhymypCyj4QrRpuIfGcRzHKQR5pyIXhTIk/1yW2VJFww0ax3EcpxC0W+dahjXE2m0h2izc\noHEcx3EKQbt2rmVK/ln0hWizcIPGcRzHKSTt3Lm2C+26EG0aHhTsOI7jFIKc64w5jWUWlbOlrqVN\nl0JxD43jOI5TCHydseZTpqVQ3KBxHMdxCkGZOlen+bhB4ziO4zhO25NcAt1xHMdxHKftcIPGcRzH\ncZy2xw0ax3Ecx3HaHjdoHMdxHMdpe9ygcRzHcRyn7XGDxnEcp05EpENERrVaD8dxOnGDxnGcQiIi\na4nIL0TkvyKySERmiMhYEdm21bo5jlM8fOkDx3GKyq3YM+pLwFRgbWB34EOtVMpxnGLiHhrHcQqH\niPTH1vE5Q1UfUdXpqvpPVb1QVf8cyowWkedEZL6IvCwiPxORfrE6jhKR2SLyWRGZKCILROT3ItIn\nfDZVRGaJyOVhDaHoe1NF5EwRuSXU/YqIfK2GvuuJyO+CvLdF5HYRGRr7fBcReTLUN1tEHhWR9Rt/\n5Rxn+cUNGsdxisj8sB0gIr2rlFkCnAxsARwJ7ApcmCjTN5T5ArBXKHMb8Blgb+AI4ATg4MT3TgOe\nAT4GXABcLiK7pykhIisC9wBzgO2B7YB5wF9FZEUR6RVkPgh8BNgGuAbwNO2O00B86QMB3a4EAAAC\nlklEQVTHcQqJiByIrfzbF3gaW6zwt6r67yrlDwJ+oaoDw/9HATcAG6vqtHDsF5gRM1BV3w3HxgJT\nVfVr4f+pwAuq+tlY3WOA1VR13/B/B3CAqt4pIkcA31XVLWLlewOzgf2BccBMYBdVfbQhF8dxnC64\nh8ZxnEKiqrcB6wL7AWOBnYGnReRIABHZQ0TuC0NCc4FfAR8SkVVi1SyMjJnAG8C0yJiJHRuYEP94\nyv/Dq6i6FTBMROZFG/A2sDJmTM0GbgLuFZE7ReQUEVkn10VwHCc3btA4jlNYVPV9Vb1fVX+oqjsA\nNwLnhviUu4Bngc8BI4Gvh6/Fh6gWJ6uscmxZnoWrAv/EDJuPxrZNgVvCeRyDDTX9HTgEmCQiWy+D\nTMdxEvgsJ8dx2okXsGGcj2ND5qdFH4jIoQ2Us03K/xOqlH0ai9F5S1XnV6tQVf8F/Au4UEQeAw4H\nnmqAro7j4B4ax3EKiIgMEJH7ReSLIrKliGwgIp8HTgduB14EVgrDNxuKyJew4N5Gsb2InCYiw0Tk\n61jQ8GVVyv4Gi5G5Q0R2CLruEmZPrRv+/5GIbCMiQ0RkT2AYZpw5jtMg3EPjOE4RmQ88AXwD2BhY\nCZgOXA38r6q+JyLfxAycHwGPAN8Gbm6Q/EuATwDnYLOXRqvqfbHPl86mUNV3RWQnbIbVn4DVgFeB\n+4G5WFDz5thMrA8BM4ArVfWaBunqOA4+y8lxHKeCMMvpUlW9otW6OI6THx9ychzHcRyn7XGDxnEc\npxJ3WztOG+JDTo7jOI7jtD3uoXEcx3Ecp+1xg8ZxHMdxnLbHDRrHcRzHcdoeN2gcx3Ecx2l73KBx\nHMdxHKftcYPGcRzHcZy2xw0ax3Ecx3HaHjdoHMdxHMdpe/4//Uu8YqcBiEUAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x120ac7e50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# zipf plot showing word frequency distribution for 50 most common words in Moby Dick\n",
"fdist1.plot(50, cumulative=True)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Common bi-grams in Moby Dick=\n",
"Sperm Whale; Moby Dick; White Whale; old man; Captain Ahab; sperm\n",
"whale; Right Whale; Captain Peleg; New Bedford; Cape Horn; cried Ahab;\n",
"years ago; lower jaw; never mind; Father Mapple; cried Stubb; chief\n",
"mate; white whale; ivory leg; one hand\n",
"\n",
"Common bi-grams in Book of Genesis=\n",
"said unto; pray thee; thou shalt; thou hast; thy seed; years old;\n",
"spake unto; thou art; LORD God; every living; God hath; begat sons;\n",
"seven years; shalt thou; little ones; living creature; creeping thing;\n",
"savoury meat; thirty years; every beast\n",
"\n",
"Common bi-grams in Chat Corpus=\n",
"wanna chat; PART JOIN; MODE #14-19teens; JOIN PART; PART PART;\n",
"cute.-ass MP3; MP3 player; JOIN JOIN; times .. .; ACTION watches; guys\n",
"wanna; song lasts; last night; ACTION sits; -...)...- S.M.R.; Lime\n",
"Player; Player 12%; dont know; lez gurls; long time\n"
]
}
],
"source": [
"print 'Common bi-grams in Moby Dick='\n",
"text1.collocations(window_size=2)\n",
"print '\\nCommon bi-grams in Book of Genesis='\n",
"text3.collocations(window_size=2)\n",
"print '\\nCommon bi-grams in Chat Corpus='\n",
"text5.collocations(window_size=2)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[u'American',\n",
" u'Greenland',\n",
" u'Leviathan',\n",
" u'Nantucket',\n",
" u'Queequeg',\n",
" u'Starbuck',\n",
" u'Steelkilt',\n",
" u'Tashtego',\n",
" u'anything',\n",
" u'bulwarks',\n",
" u'business',\n",
" u'carpenter',\n",
" u'completely',\n",
" u'concerning',\n",
" u'creature',\n",
" u'creatures',\n",
" u'darkness',\n",
" u'distance',\n",
" u'especially',\n",
" u'forecastle',\n",
" u'forehead',\n",
" u'gentlemen',\n",
" u'harpooneer',\n",
" u'harpooneers',\n",
" u'intervals',\n",
" u'leviathan',\n",
" u'particular',\n",
" u'peculiar',\n",
" u'previous',\n",
" u'remained',\n",
" u'skeleton',\n",
" u'something',\n",
" u'sometimes',\n",
" u'standing',\n",
" u'straight',\n",
" u'stranger',\n",
" u'substance',\n",
" u'suddenly',\n",
" u'themselves',\n",
" u'therefore',\n",
" u'thoughts',\n",
" u'thousand',\n",
" u'together',\n",
" u'touching',\n",
" u'whaleman',\n",
" u'whalemen',\n",
" u'whatever',\n",
" u'wondrous']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#show me words over 7 letters long that appear over 30 times in Moby Dick\n",
"sorted(w for w in set(text1) if len(w) >7 and fdist1[w] > 30)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## Chapter 2"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[u'austen-emma.txt',\n",
" u'austen-persuasion.txt',\n",
" u'austen-sense.txt',\n",
" u'bible-kjv.txt',\n",
" u'blake-poems.txt',\n",
" u'bryant-stories.txt',\n",
" u'burgess-busterbrown.txt',\n",
" u'carroll-alice.txt',\n",
" u'chesterton-ball.txt',\n",
" u'chesterton-brown.txt',\n",
" u'chesterton-thursday.txt',\n",
" u'edgeworth-parents.txt',\n",
" u'melville-moby_dick.txt',\n",
" u'milton-paradise.txt',\n",
" u'shakespeare-caesar.txt',\n",
" u'shakespeare-hamlet.txt',\n",
" u'shakespeare-macbeth.txt',\n",
" u'whitman-leaves.txt']"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gutenberg.fileids()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"34110"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"alice = gutenberg.words('carroll-alice.txt')\n",
"len(alice)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Displaying 15 of 15 matches:\n",
"isit either you like : they ' re both mad .' ' But I don ' t want to go among m\n",
"d .' ' But I don ' t want to go among mad people ,' Alice remarked . ' Oh , you\n",
" that ,' said the Cat : ' we ' re all mad here . I ' m mad . You ' re mad .' ' \n",
" Cat : ' we ' re all mad here . I ' m mad . You ' re mad .' ' How do you know I\n",
"e all mad here . I ' m mad . You ' re mad .' ' How do you know I ' m mad ?' sai\n",
"u ' re mad .' ' How do you know I ' m mad ?' said Alice . ' You must be ,' said\n",
"n ' And how do you know that you ' re mad ?' ' To begin with ,' said the Cat , \n",
"ith ,' said the Cat , ' a dog ' s not mad . You grant that ?' ' I suppose so ,'\n",
"il when I ' m angry . Therefore I ' m mad .' ' I call it purring , not growling\n",
"s as this is May it won ' t be raving mad -- at least not so mad as it was in M\n",
" ' t be raving mad -- at least not so mad as it was in March .' As she said thi\n",
"herself ' Suppose it should be raving mad after all ! I almost wish I ' d gone \n",
"the Hatter instead !' CHAPTER VII . A Mad Tea - Party There was a table set out\n",
"led last March -- just before HE went mad , you know --' ( pointing with his te\n",
"res , who had been jumping about like mad things all this time , sat down again\n"
]
}
],
"source": [
"alice = nltk.Text(alice)\n",
"alice.concordance(\"mad\")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"macbeth_sentences = gutenberg.sents('shakespeare-macbeth.txt')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"158"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#find longest sentence in Macbeth\n",
"longest_len = max(len(s) for s in macbeth_sentences)\n",
"longest_len"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[u\"Doubtfull it stood , As two spent Swimmers , that doe cling together , And choake their Art : The mercilesse Macdonwald ( Worthie to be a Rebell , for to that The multiplying Villanies of Nature Doe swarme vpon him ) from the Westerne Isles Of Kernes and Gallowgrosses is supply ' d , And Fortune on his damned Quarry smiling , Shew ' d like a Rebells Whore : but all ' s too weake : For braue Macbeth ( well hee deserues that Name ) Disdayning Fortune , with his brandisht Steele , Which smoak ' d with bloody execution ( Like Valours Minion ) caru ' d out his passage , Till hee fac ' d the Slaue : Which neu ' r shooke hands , nor bad farwell to him , Till he vnseam ' d him from the Naue toth ' Chops , And fix ' d his Head vpon our Battlements\"]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#print longest sentence in Macbeth\n",
"[' '.join(s) for s in macbeth_sentences if len(s) == longest_len] "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Chapter 2 Part 2\n",
"### Comparative Freq Distributions"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"adventure\n",
"[u'Dan', u'Morgan', u'told', u'himself', u'he', ...]\n",
"belles_lettres\n",
"[u'Northern', u'liberals', u'are', u'the', u'chief', ...]\n",
"editorial\n",
"[u'Assembly', u'session', u'brought', u'much', u'good', ...]\n",
"fiction\n",
"[u'Thirty-three', u'Scotty', u'did', u'not', u'go', ...]\n",
"government\n",
"[u'The', u'Office', u'of', u'Business', u'Economics', ...]\n",
"hobbies\n",
"[u'Too', u'often', u'a', u'beginning', u'bodybuilder', ...]\n",
"humor\n",
"[u'It', u'was', u'among', u'these', u'that', u'Hinkle', ...]\n",
"learned\n",
"[u'1', u'.', u'Introduction', u'It', u'has', ...]\n",
"lore\n",
"[u'In', u'American', u'romance', u',', u'almost', ...]\n",
"mystery\n",
"[u'There', u'were', u'thirty-eight', u'patients', ...]\n",
"news\n",
"[u'The', u'Fulton', u'County', u'Grand', u'Jury', ...]\n",
"religion\n",
"[u'As', u'a', u'result', u',', u'although', u'we', ...]\n",
"reviews\n",
"[u'It', u'is', u'not', u'news', u'that', u'Nathan', ...]\n",
"romance\n",
"[u'They', u'neither', u'liked', u'nor', u'disliked', ...]\n",
"science_fiction\n",
"[u'Now', u'that', u'he', u'knew', u'himself', u'to', ...]\n"
]
}
],
"source": [
"for genre in brown.categories():\n",
" print genre\n",
" print brown.words(categories=genre)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"cfd = nltk.ConditionalFreqDist(\n",
" (genre, word)\n",
" for genre in brown.categories()\n",
" for word in brown.words(categories=genre))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" can could may might must will \n",
" news 93 86 66 38 50 389 \n",
" religion 82 59 78 12 54 71 \n",
" hobbies 268 58 131 22 83 264 \n",
"science_fiction 16 49 4 12 8 16 \n",
" romance 74 193 11 51 45 43 \n",
" humor 16 30 8 8 9 13 \n"
]
}
],
"source": [
"genres = ['news', 'religion', 'hobbies', 'science_fiction', 'romance', 'humor']\n",
"modals = ['can', 'could', 'may', 'might', 'must', 'will']\n",
"cfd.tabulate(conditions=genres, samples=modals)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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OHj0qs5JKmfS5KGkLFiygYcOGLFy4kBUrVhAQEMC4ceOYMGGCTT2lFE2aNOHd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p1/fiQvoBuapL2BO4C5wPqoeSawGni3mT0VV99qVTTycSYh+NgH+AlhPdQv+rI3JC0E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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x120ac7090>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cfd.plot(conditions=genres, samples=modals)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[u'1789-Washington.txt', u'1793-Washington.txt', u'1797-Adams.txt', u'1801-Jefferson.txt', u'1805-Jefferson.txt', u'1809-Madison.txt', u'1813-Madison.txt', u'1817-Monroe.txt', u'1821-Monroe.txt', u'1825-Adams.txt', u'1829-Jackson.txt', u'1833-Jackson.txt', u'1837-VanBuren.txt', u'1841-Harrison.txt', u'1845-Polk.txt', u'1849-Taylor.txt', u'1853-Pierce.txt', u'1857-Buchanan.txt', u'1861-Lincoln.txt', u'1865-Lincoln.txt', u'1869-Grant.txt', u'1873-Grant.txt', u'1877-Hayes.txt', u'1881-Garfield.txt', u'1885-Cleveland.txt', u'1889-Harrison.txt', u'1893-Cleveland.txt', u'1897-McKinley.txt', u'1901-McKinley.txt', u'1905-Roosevelt.txt', u'1909-Taft.txt', u'1913-Wilson.txt', u'1917-Wilson.txt', u'1921-Harding.txt', u'1925-Coolidge.txt', u'1929-Hoover.txt', u'1933-Roosevelt.txt', u'1937-Roosevelt.txt', u'1941-Roosevelt.txt', u'1945-Roosevelt.txt', u'1949-Truman.txt', u'1953-Eisenhower.txt', u'1957-Eisenhower.txt', u'1961-Kennedy.txt', u'1965-Johnson.txt', u'1969-Nixon.txt', u'1973-Nixon.txt', u'1977-Carter.txt', u'1981-Reagan.txt', u'1985-Reagan.txt', u'1989-Bush.txt', u'1993-Clinton.txt', u'1997-Clinton.txt', u'2001-Bush.txt', u'2005-Bush.txt', u'2009-Obama.txt']\n",
"[u'1789', u'1793', u'1797', u'1801', u'1805', u'1809', u'1813', u'1817', u'1821', u'1825', u'1829', u'1833', u'1837', u'1841', u'1845', u'1849', u'1853', u'1857', u'1861', u'1865', u'1869', u'1873', u'1877', u'1881', u'1885', u'1889', u'1893', u'1897', u'1901', u'1905', u'1909', u'1913', u'1917', u'1921', u'1925', u'1929', u'1933', u'1937', u'1941', u'1945', u'1949', u'1953', u'1957', u'1961', u'1965', u'1969', u'1973', u'1977', u'1981', u'1985', u'1989', u'1993', u'1997', u'2001', u'2005', u'2009']\n"
]
}
],
"source": [
"#inaugural address corpus\n",
"#condition: words starting with 'america' or 'citizen'; counts: frequency by year\n",
"\n",
"from nltk.corpus import inaugural\n",
"\n",
"print inaugural.fileids()\n",
"print [fileid[:4] for fileid in inaugural.fileids()] #years pulled from fileids\n",
"\n",
"cfd = nltk.ConditionalFreqDist(\n",
" (target, fileid[:4])\n",
" for fileid in inaugural.fileids()\n",
" for w in inaugural.words(fileid)\n",
" for target in ['america', 'citizen']\n",
" if w.lower().startswith(target))"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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jLLNb2bfTtOVIxJqaNQBgeAiXm+ZN2qTtRG2CiBZbOBGc807O+S7O+b8553cC+BLAAoN7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\nWjiIMMYYY0wtHEQYY4wxphb/A5LG8ixAypOOAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1239d9150>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cfd.plot()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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x/InJkye7pD9w4IAp2vr0NR/RXO1TLw3xt//9jYz9GZTZywAY32s839z8DZ3j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\nqjuxG9KX2cuYsngKe3OMkdlDkofw8uU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eZsD48bn7334LAwaYpTt+azzn3zoPPvJ+xaEV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/iYrVdspeRYSfWCv5DQxFCu2HpF9YIeopRi3rx5LjcKfPDBByt1V3ijd8KECQ5pV199NR999BEF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\nEATBr/x/CrVGE7L0AM8AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x121f106d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#condition: language; counts: word lengths\n",
"from nltk.corpus import udhr\n",
"\n",
"languages = ['Chickasaw', 'English', 'German_Deutsch',\n",
"'Greenlandic_Inuktikut', 'Hungarian_Magyar', 'Ibibio_Efik']\n",
"cfd = nltk.ConditionalFreqDist(\n",
" (lang, len(word))\n",
" for lang in languages\n",
" for word in udhr.words(lang + '-Latin1'))\n",
"cfd.plot(cumulative=True)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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9t0Sb2SnlFcaYXxpjGowxjcaYJ4wxQ1LaDDTGLDbG7DLG7DDGPGSM6R12f5zT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\nMaYj+S9eWtuz+Dtu5AAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1238eb690>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#condition: male/female; count: last letter of name\n",
"names = nltk.corpus.names\n",
"\n",
"cfd = nltk.ConditionalFreqDist(\n",
" (fileid, name[-1])\n",
" for fileid in names.fileids()\n",
" for name in names.words(fileid))\n",
"cfd.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Chapter 2 Part 5\n",
"### WordNet"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from nltk.corpus import wordnet as wn"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Synset('car.n.01')]\n",
"[u'car', u'auto', u'automobile', u'machine', u'motorcar']\n",
"a motor vehicle with four wheels; usually propelled by an internal combustion engine\n",
"[u'he needs a car to get to work']\n"
]
}
],
"source": [
"print wn.synsets('motorcar')\n",
"print wn.synset('car.n.01').lemma_names()\n",
"print wn.synset('car.n.01').definition()\n",
"print wn.synset('car.n.01').examples()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Types of motorcar= [Synset('ambulance.n.01'), Synset('beach_wagon.n.01'), Synset('bus.n.04'), Synset('cab.n.03'), Synset('compact.n.03'), Synset('convertible.n.01'), Synset('coupe.n.01'), Synset('cruiser.n.01'), Synset('electric.n.01'), Synset('gas_guzzler.n.01'), Synset('hardtop.n.01'), Synset('hatchback.n.01'), Synset('horseless_carriage.n.01'), Synset('hot_rod.n.01'), Synset('jeep.n.01'), Synset('limousine.n.01'), Synset('loaner.n.02'), Synset('minicar.n.01'), Synset('minivan.n.01'), Synset('model_t.n.01'), Synset('pace_car.n.01'), Synset('racer.n.02'), Synset('roadster.n.01'), Synset('sedan.n.01'), Synset('sport_utility.n.01'), Synset('sports_car.n.01'), Synset('stanley_steamer.n.01'), Synset('stock_car.n.01'), Synset('subcompact.n.01'), Synset('touring_car.n.01'), Synset('used-car.n.01')]\n",
"motorcar lemmas= [u'Model_T', u'S.U.V.', u'SUV', u'Stanley_Steamer', u'ambulance', u'beach_waggon', u'beach_wagon', u'bus', u'cab', u'compact', u'compact_car', u'convertible', u'coupe', u'cruiser', u'electric', u'electric_automobile', u'electric_car', u'estate_car', u'gas_guzzler', u'hack', u'hardtop', u'hatchback', u'heap', u'horseless_carriage', u'hot-rod', u'hot_rod', u'jalopy', u'jeep', u'landrover', u'limo', u'limousine', u'loaner', u'minicar', u'minivan', u'pace_car', u'patrol_car', u'phaeton', u'police_car', u'police_cruiser', u'prowl_car', u'race_car', u'racer', u'racing_car', u'roadster', u'runabout', u'saloon', u'secondhand_car', u'sedan', u'sport_car', u'sport_utility', u'sport_utility_vehicle', u'sports_car', u'squad_car', u'station_waggon', u'station_wagon', u'stock_car', u'subcompact', u'subcompact_car', u'taxi', u'taxicab', u'tourer', u'touring_car', u'two-seater', u'used-car', u'waggon', u'wagon']\n"
]
}
],
"source": [
"#hyponyms: contexts that are more specific to a synset\n",
"types_of_motorcar = wn.synset('car.n.01').hyponyms()\n",
"print \"Types of motorcar=\", types_of_motorcar\n",
"print \"motorcar lemmas=\",sorted(lemma.name() for synset in types_of_motorcar for lemma in synset.lemmas())"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Synset('engine.n.01')\n",
"DEFINITION= motor that converts thermal energy to mechanical work\n",
"LEMMAS= [Lemma('engine.n.01.engine')]\n",
"LEMMA NAMES= [u'engine']\n",
"HYPONYMS= [u'aircraft_engine', u'automobile_engine', u'auxiliary_engine', u'donkey_engine', u'generator', u'heat_engine', u'reaction-propulsion_engine', u'reaction_engine']\n",
"HYPERNYMS= [u'entity', u'physical_entity', u'object', u'physical_object', u'whole', u'unit', u'artifact', u'artefact', u'instrumentality', u'instrumentation', u'device', u'machine', u'motor', u'engine']\n",
"PART MERONYMS= [Synset('camshaft.n.01'), Synset('gearing.n.01')]\n",
"SUBSTANCE MERONYMS= []\n",
"\n",
"\n",
"Synset('engine.n.02')\n",
"DEFINITION= something used to achieve a purpose\n",
"LEMMAS= [Lemma('engine.n.02.engine')]\n",
"LEMMA NAMES= [u'engine']\n",
"HYPONYMS= []\n",
"HYPERNYMS= [u'entity', u'physical_entity', u'causal_agent', u'cause', u'causal_agency', u'engine']\n",
"PART MERONYMS= []\n",
"SUBSTANCE MERONYMS= []\n",
"\n",
"\n",
"Synset('locomotive.n.01')\n",
"DEFINITION= a wheeled vehicle consisting of a self-propelled engine that is used to draw trains along railway tracks\n",
"LEMMAS= [Lemma('locomotive.n.01.locomotive'), Lemma('locomotive.n.01.engine'), Lemma('locomotive.n.01.locomotive_engine'), Lemma('locomotive.n.01.railway_locomotive')]\n",
"LEMMA NAMES= [u'locomotive', u'engine', u'locomotive_engine', u'railway_locomotive']\n",
"HYPONYMS= [u'choo-choo', u'diesel_locomotive', u'dinkey', u'dinky', u'donkey_engine', u'electric_locomotive', u'iron_horse', u'pilot_engine', u'shunter', u'steam_locomotive', u'switch_engine', u'tank_engine', u'tank_locomotive', u'traction_engine']\n",
"HYPERNYMS= [u'entity', u'physical_entity', u'object', u'physical_object', u'whole', u'unit', u'artifact', u'artefact', u'instrumentality', u'instrumentation', u'container', u'wheeled_vehicle', u'self-propelled_vehicle', u'locomotive', u'engine', u'locomotive_engine', u'railway_locomotive']\n",
"PART MERONYMS= [Synset('fender.n.02'), Synset('footplate.n.01')]\n",
"SUBSTANCE MERONYMS= []\n",
"\n",
"\n",
"Synset('engine.n.04')\n",
"DEFINITION= an instrument or machine that is used in warfare, such as a battering ram, catapult, artillery piece, etc.\n",
"LEMMAS= [Lemma('engine.n.04.engine')]\n",
"LEMMA NAMES= [u'engine']\n",
"HYPONYMS= [u'arbalest', u'arbalist', u'ballista', u'battering_ram', u'bricole', u'catapult', u'mangonel', u'onager', u'trebuchet', u'trebucket']\n",
"HYPERNYMS= [u'entity', u'physical_entity', u'object', u'physical_object', u'whole', u'unit', u'artifact', u'artefact', u'instrumentality', u'instrumentation', u'device', u'instrument', u'engine']\n",
"PART MERONYMS= []\n",
"SUBSTANCE MERONYMS= []\n",
"\n",
"\n"
]
}
],
"source": [
"for synset in wn.synsets('engine'):\n",
" print synset\n",
" print 'DEFINITION=', synset.definition()\n",
" print 'LEMMAS=', synset.lemmas()\n",
" print 'LEMMA NAMES=', synset.lemma_names()\n",
" hyponyms = synset.hyponyms()\n",
" print 'HYPONYMS=', sorted(lemma.name() for synset in hyponyms for lemma in synset.lemmas())\n",
" paths = synset.hypernym_paths()\n",
" print 'HYPERNYMS=', [lemma.name() for synset in paths[0] for lemma in synset.lemmas()]\n",
" #hypernyms = synset.root_hypernyms()\n",
" #print sorted(lemma.name() for synset in hypernyms for lemma in synset.lemmas())\n",
" print 'PART MERONYMS=', synset.part_meronyms()\n",
" print 'SUBSTANCE MERONYMS=', synset.substance_meronyms()\n",
" print '\\n'"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## Chapter 6 Part 1\n",
"### Gender Classification"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"{'last_letter': 'k'}"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def gender_features(word):\n",
" return {'last_letter': word[-1]}\n",
"\n",
"gender_features('Shrek')"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[(u'Karalynn', 'female'), (u'Bertrand', 'male'), (u'Hortense', 'female'), (u'Suzzy', 'female'), (u'Vale', 'female')]\n"
]
}
],
"source": [
"names = ([(name, 'male') for name in nltk.corpus.names.words('male.txt')] +\n",
" [(name, 'female') for name in nltk.corpus.names.words('female.txt')])\n",
"random.shuffle(names)\n",
"print names[:5]"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"7444\n",
"500\n",
"[({'last_letter': u'n'}, 'female'), ({'last_letter': u'd'}, 'male'), ({'last_letter': u'e'}, 'female'), ({'last_letter': u'y'}, 'female'), ({'last_letter': u'e'}, 'female'), ({'last_letter': u'y'}, 'male'), ({'last_letter': u'a'}, 'female'), ({'last_letter': u'y'}, 'male'), ({'last_letter': u'i'}, 'female'), ({'last_letter': u'e'}, 'female')]\n"
]
}
],
"source": [
"featuresets = [(gender_features(n), g) for (n,g) in names]\n",
"train_set, test_set = featuresets[500:], featuresets[:500]\n",
"print len(train_set)\n",
"print len(test_set)\n",
"print featuresets[:10]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'male'"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classifier = nltk.NaiveBayesClassifier.train(train_set) \n",
"classifier.classify(gender_features('Neo'))\n",
"# print('Accuracy: {:4.2f}'.format(nltk.classify.accuracy(classifier, test_set))) "
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.784\n"
]
}
],
"source": [
"print nltk.classify.accuracy(classifier, test_set)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Most Informative Features\n",
" last_letter = u'a' female : male = 35.6 : 1.0\n",
" last_letter = u'k' male : female = 30.8 : 1.0\n",
" last_letter = u'f' male : female = 15.3 : 1.0\n",
" last_letter = u'p' male : female = 11.9 : 1.0\n",
" last_letter = u'v' male : female = 9.9 : 1.0\n"
]
}
],
"source": [
"classifier.show_most_informative_features(5)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [default]",
"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": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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