From fc901c0bb59dcc12b4250681834da84af42b6ddd Mon Sep 17 00:00:00 2001 From: tneuefei Date: Wed, 7 Sep 2022 17:46:03 +0000 Subject: [PATCH 1/3] initial commit --- tneuefei.ipynb | 382 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 382 insertions(+) create mode 100644 tneuefei.ipynb diff --git a/tneuefei.ipynb b/tneuefei.ipynb new file mode 100644 index 0000000..59b489b --- /dev/null +++ b/tneuefei.ipynb @@ -0,0 +1,382 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Written text as operational data\n", + "\n", + "Written text is one type of data\n", + "\n", + "### Why people write?\n", + "\n", + " - To communicate: their thoughts, feelings, urgency, needs, information\n", + "\n", + "### Why people communicate?\n", + "\n", + "1. To express emotions\n", + "1. To share information\n", + "1. To enable or elicit an action\n", + "1. ...\n", + "\n", + "### We will use written text for the purpose other than \n", + "1. To experience emotion\n", + "1. To learn something the author intended us to learn\n", + "1. To do what the author intended us to do\n", + "\n", + "### Instead, we will use written text to recognize who wrote it\n", + " - By calculating and comparing word frequencies in written documents\n", + " \n", + "See, for example, likely fictional story https://medium.com/@amuse/how-the-nsa-caught-satoshi-nakamoto-868affcef595" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 1. Dictionaries in python (associative arrays)\n", + "\n", + "Plot the frequency distribution of words on a web page." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "class=\"menu-item\t54\n", + "\t38\n", + "\t35\n", + "
  • \t28\n", + "\t21\n", + "\t21\n" + ] + } + ], + "source": [ + "import requests, re\n", + "# re is a module for regular expressions: to detect various combinations of characters\n", + "import operator\n", + "\n", + "# Start from a simple document\n", + "r = requests .get('http://eecs.utk.edu')\n", + "\n", + "# What comes back includes headers and other HTTP stuff, get just the body of the response\n", + "t = r.text\n", + "\n", + "# obtain words by splitting a string using as separator one or more (+) space/like characters (\\s) \n", + "wds = re.split('\\s+',t)\n", + "\n", + "# now populate a dictionary (wf)\n", + "wf = {}\n", + "for w in wds:\n", + " if w in wf: wf [w] = wf [w] + 1\n", + " else: wf[w] = 1\n", + "\n", + "# dictionaries can not be sorted, so lets get a sorted *list* \n", + "wfs = sorted (wf .items(), key = operator .itemgetter (1), reverse=True) \n", + "\n", + "# lets just have no more than 15 words \n", + "ml = min(len(wfs),15)\n", + "for i in range(1,ml,1):\n", + " print (wfs[i][0]+\"\\t\"+str(wfs[i][1])) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Example 2\n", + "\n", + "Lots of markup in the output, lets remove it --- \n", + "\n", + "use BeautifulSoup and nltk modules and practice some regular expressions." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import requests, re, nltk\n", + "from bs4 import BeautifulSoup\n", + "from nltk import clean_html\n", + "from collections import Counter\n", + "import operator\n", + "\n", + "# we may not care about the usage of stop words\n", + "stop_words = nltk.corpus.stopwords.words('english') + [\n", + " 'ut', '\\'re','.', ',', '--', '\\'s', '?', ')', '(', ':', '\\'',\n", + " '\\\"', '-', '}', '{', '&', '|', u'\\u2014' ]\n", + "\n", + "# We most likely would like to remove html markup\n", + "def cleanHtml (html):\n", + " from bs4 import BeautifulSoup\n", + " soup = BeautifulSoup(html, 'html.parser')\n", + " return soup .get_text()\n", + "\n", + "# We also want to remove special characters, quotes, etc. from each word\n", + "def cleanWord (w):\n", + " # r in r'[.,\"\\']' tells to treat \\ as a regular character \n", + " # but we need to escape ' with \\'\n", + " # any character between the brackets [] is to be removed \n", + " wn = re.sub('[,\"\\.\\'&\\|:@>*;/=]', \"\", w)\n", + " # get rid of numbers\n", + " return re.sub('^[0-9\\.]*$', \"\", wn)\n", + " \n", + "# define a function to get text/clean/calculate frequency\n", + "def get_wf (URL):\n", + " # first get the web page\n", + " r = requests .get(URL)\n", + " \n", + " # Now clean\n", + " # remove html markup\n", + " t = cleanHtml (r .text) .lower()\n", + " \n", + " # split string into an array of words using any sequence of spaces \"\\s+\" \n", + " wds = re .split('\\s+',t)\n", + " \n", + " # remove periods, commas, etc stuck to the edges of words\n", + " for i in range(len(wds)):\n", + " wds [i] = cleanWord (wds [i])\n", + " \n", + " # If satisfied with results, lets go to the next step: calculate frequencies\n", + " # We can write a loop to create a dictionary, but \n", + " # there is a special function for everything in python\n", + " # in particular for counting frequencies (like function table() in R)\n", + " wf = Counter (wds)\n", + " \n", + " # Remove stop words from the dictionary wf\n", + " for k in stop_words:\n", + " wf. pop(k, None)\n", + " \n", + " #how many regular words in the document?\n", + " tw = 0\n", + " for w in wf:\n", + " tw += wf[w] \n", + " \n", + " \n", + " # Get ordered list\n", + " wfs = sorted (wf .items(), key = operator.itemgetter(1), reverse=True)\n", + " ml = min(len(wfs),15)\n", + "\n", + " #Reverse the list because barh plots items from the bottom\n", + " return (wfs [ 0:ml ] [::-1], tw)\n", + " \n", + "# Now populate two lists \n", + "(wf_ee, tw_ee) = get_wf('http://www.gutenberg.org/ebooks/1342.txt.utf-8')\n", + "(wf_bu, tw_bu) = get_wf('http://www.gutenberg.org/ebooks/76.txt.utf-8')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AOHwz8mL809Q/Bz6PY9nT8X0hFwDrwl6XOOdKgEuAjvgnsR8N1rUjSj5j8A8C\nLQD6A+c759YAOOe+Ak4FSoA3gjI+GuQTyutv+DuZhcA3QXoRkUPa+PHjOe200xg8eDC9e/emY8eO\nZGVlUadOHQAmTZpEdnY2gwcPJjs7m+LiYt544w3q1q0LwCmnnMK1117LkCFDaNy4Mffff391bo6I\nVANzTs+QJCq9WRvXbNhD1V0MkYPCqnvjGWnMy8rKorCwcP8Jpdx27NjBsccey69+9StuueWWSs8/\nvVkbVG+KVJ7y1J1mNtc5V+k/IX1AfgFHRERSw7x581i6dCnZ2dls3bqV++67j61bt3LJJZdUd9FE\nJEUomBQROcQ9+OCDfPLJJ9SsWZPOnTszffr00rEmRUT2R8FkBXRo0ZDCctxeFhFJNl26dKnSLgOq\nN0UOPhpLUUREREQSpmBSRERERBKmYFJEREREEqY+kxWwcO1mWo15tbqLIVIlyjP8hEgsqjclGal+\nqxjdmRQRERGRhCmYFBEREZGEKZgUERERkYQdUsGkmY0zs0X7SfOImRVUUZFERJJebm4ugwYNKjPN\noEGDyM3NrZoCiUhS0QM4IiJSpocffhjnXHUXQ0SSlIJJEREpU8OGDau7CCKSxJKqmdu8W8zsUzPb\nYWZrzOyeYF4HM3vHzH4ws01mNtnMGoYtO9nMXonIr8xmbTNLM7PxZvZd8HoISDtgGygiUk2mT59O\n9+7dycjIoGHDhmRnZ7No0SK+/fZbhgwZQsuWLalbty4nnXQSkyZN2mvZyGbu4uJicnNzycjIoGnT\nptx9991VvTkikkSSKpgE7gZ+A9wDnARcBHxpZvWBN4FtQDZwPnAKMLGC67sFuBq4BuiBDySHVjBP\nEZGksnv3bs4991x69uzJggUL+OCDD7jxxhtJS0tj+/btdO3alVdeeYXFixdzww03cM011zBlypSY\n+Y0aNYq3336b5557jilTpjBv3jymT59ehVskIskkaZq5zSwDuAm40TkXChJXALPM7GqgPnCZc25r\nkD4PmGZmrZ1zKxJc7Y3A/c65fwd53gD0208584A8gLTDGie4WhGRqrNlyxa+//57zjnnHDIzMwE4\n4YQTSuf/6le/Kv07Ly+PqVOn8swzz9CnT5998tq2bRtPPPEEEydOpF8/X11OmjSJli1bxlx/fn4+\n+fn5AOwp3lwp2yQiySOZ7kyeCKQD0b4OtwM+DgWSgZlASbBcuQVN5M2AWaFpzrkS4IOylnPO5Tvn\nspxzWWk9mV3ZAAAgAElEQVT11I9IRJLfEUccQW5uLv369WPgwIE8+OCDfPHFFwDs2bOHu+66i44d\nO3LkkUeSkZHB888/Xzo/0sqVK9m5cyc9evQonZaRkUGHDh1irj8vL4/CwkIKCwtRvSly8EmmYDJR\noUcMSwCLmFerissiIpKUJk2axAcffECvXr146aWXOP7443nzzTcZP348DzzwAL/61a+YMmUK8+fP\n57zzzmPnzp3VXWQRSRHJFEwuBXYA+7ar+HkdzKxB2LRT8OVfGvz/Df5OY7jOsVbmnNsMrAO6h6aZ\nmeH7ZIqIHHQ6derE6NGjKSgoICcnhyeffJIZM2ZwzjnncNlll9G5c2cyMzNZvnx5zDwyMzOpVasW\ns2fPLp1WVFTEokVlDuErIgexpAkmgybsh4F7zOwKM8s0s2wzGwE8DRQD/wie6u4FPA48H9ZfcirQ\nxcyGm1lrM7sVOHU/q30YuNXMLjSz44GH2DcgFRFJaZ9//jljxoxh5syZrF69mmnTpvHxxx9z4okn\n0rZtW6ZMmcKMGTNYtmwZI0eO5PPPP4+ZV0ZGBldeeSWjR4/m7bffZvHixQwfPpw9e/ZU4RaJSDJJ\nmgdwAmOB7/BPdLcE1gP/cM4Vm1k/fLA3B9gOvAjcEFrQOfemmf0OuAuohw9AHwMGl7G+B4CjgL8H\n//8zWK5dJW6TiEi1qlevHsuXL+eiiy5i48aNNG3alKFDhzJ69Gi2bdvG559/zoABA6hbty65ubkM\nHTqUJUuWxMxv/PjxFBUVcf7551OvXj3+3//7fxQVFVXhFolIMjH9qkHi0pu1cc2GPVTdxRCpEqvu\nHVjdRSiVlZVFYWFhdRdDEpDerA2qNyXZJFP9diCZ2VznXFZl55s0zdwiIiIiknqSrZk7pXRo0ZDC\nQ+TbjIhIZVC9KXLw0Z1JEREREUmYgkkRERERSZiCSRERERFJmPpMVsDCtZtpNebV6i6GyD4OlScT\nJfWo3pRkorqycujOpIiIiIgkLNWCyZbAROAr/E8vrsIPZP6TcubTEz/o+Sr8AOhfAK8B/SupnCIi\nIiKHhFQKJjOBucAV+F/B+RPwGf5XcGYBR8aZzwjgPfxvgL8X5PMucDrwOvDrSi21iIiIyEEslYLJ\nx4AmwP8A5wFjgDPwweDx+J9RLFNaWtqTAwYM+DP+buTJwGX4n3C8DMgCdpx99tm/r1Wr1j8OyBaI\niIiIHGRSJZjMBM7CN0s/GjHvDqAIHxDWLyuT+vXrp6elpdUElgOfRMxeCiyvUaNGjdq1a9eqjEKL\niIiIHOxSJZjsHby/BZREzNsKvA/UA7qXlcnWrVu37969eyfQFmgTMbst0KaoqGhLcXHxjooXWURE\nROTgV23BpJn1N7OtZlYz+L+1mTkz+2tYmj+Y2TvA8dOnT6dly5b9zWy7ma03sz+ZWe0g6ac5OTmc\neuqpv4lYx2QzeyV82rJlyxbht3vu999//1SvXr0+rlOnzq4mTZosGzNmzLcfffTR3AO75SIiyWH6\n9Ol0796djIwMGjZsSHZ2NosWLQJg5syZnH766dSrV48WLVowYsQItmzZUrqsc47777+fzMxM6tat\nS4cOHXjqqaeqa1NEpBpV553JGUAdfF9FgBxgY/BO2LSCJUuWNBswYADNmzf/HOgCXAkMAe4J0m0G\nSE9PT9/fSlevXr0O39fy+9tuu23oypUrO7z44os133rrrU2vvPLKhi1btmTtLw8RkVS3e/duzj33\nXHr27MmCBQv44IMPuPHGG0lLS2PhwoWcddZZDB48mAULFvD8888zf/58hg8fXrr87bffzhNPPMGj\njz7KkiVLGDt2LNdccw2vvqoxJEUONdU2aLlzbpuZzcU3Yc/GB46PAGPMrBk+QPwZMObuu+++oHnz\n5syYMePp2rVrLwWWmtkY4HEz+41zLu71HnfccS2Ad7799tuX/vrXvx512GGH5fXr12828JvZs2df\n2rRp013FxcUxlzezPCAPIO2wxolsuohItduyZQvff/8955xzDpmZmQCccMIJAFx++eVccskl3HLL\nLaXpJ0yYQJcuXdiwYQP169fnwQcf5K233uK0004D4LjjjmPOnDk8+uijDBy490DQ+fn55OfnA7Cn\neHNVbJ6IVKHq/gWcAnwQeQ9+aJ4/44PLHOAbYDcwZ9myZRndu3endu3ah4UtOwOoDbQGGgLs2LGj\nzL6OjRo1Oqxdu3adgI9atmx5j3Pu4s2bN0/HDzF0WUZGxvFdu3Y9ee3atUfFysM5lw/kA6Q3axN/\nFCsikkSOOOIIcnNz6devH3369KFPnz5ceOGFHHPMMcydO5cVK1bw7LPPlqYPfWlfuXIlNWvWZPv2\n7fTv3x8zK02za9cuWrVqtc+68vLyyMvLAyC9WWR3dRFJdckQTI40s3bAYfhxJAvwAeUGYJZzbucJ\nJ5ywLUjfNkoeDmhTo0YNNm3aFPmVd6+nso899tjm5mu+d7dv3x4ZCJYA04GTGzduHO+YlSIiKWvS\npEnceOONvPHGG7z00kv8+te/5r///S8lJSVcddVV3HTTTfss06JFCz7++GMAXn75ZY455pi95teq\npcEwRA411R1MzgDSgVuBGc65PWZWAPwNWA+8AVBUVDRr9uzZXfbs2XNWWlpaDXzg1xPY+cADD6wH\nTj3yyCP3zJgxIzL/TvjhhABIS0tLC/5sDKwEduGfAP8M4Lvvvjtq0aJFZGZm7jkQGysikmw6depE\np06dGD16NAMGDODJJ5+ka9euLF68mNatW0dd5sQTTyQ9PZ3Vq1dzxhlnVHGJRSTZVGswGdZv8pf4\nwcPB959sCRyHH5icNWvW3F2nTp1rrr/++lYDBgz4/XnnnTcLuBd45Oabbx4D1M/MzJy+a9eus8xs\nMPBJy5Ytx9SoUePYkpKSVaH1ffXVV+sbN24McKFzbryZPQHcZ2bf3HbbbQ2WL19+8Z49e1izZs3X\nVbUPRESqw+eff87jjz/O4MGDadGiBZ999hkff/wxI0aMYPDgwXTv3p1rr72Wa665hgYNGrBs2TJe\nfvllHn/8cRo0aMCoUaMYNWoUzjl69erFtm3bmD17NjVq1Cht0haRQ0MyjDNZgA9qCwCcc9uBD/C/\nvT0nmLa2b9++v/zwww93X3zxxb8+/PDDnxs4cOAXRUVFXYGbgOUXXHDBxfjf7Z4IvD98+PDcyy67\nLCN8RWvWrNm4fv36L4G6wIebNm1q1LNnz8116tR57W9/+9tzHTt2TMvMzPx8/fr131fNpouIVI96\n9eqxfPlyLrroItq2bcuwYcMYOnQoo0ePpmPHjkyfPp1Vq1Zx+umn06lTJ8aOHUvTpk1Ll7/zzjsZ\nN24c48eP56STTuLMM8/kueee47jjjqvGrRKR6mDleRI6CRwN/B7oj/8t7nXAC8DvgO8i0oY2zCKm\nGzAMyMU3gzcAtgDz8M3r/xtvYdKbtXHNhj1Urg0QqQqr7h24/0QpLCsri8LCwuouhiQgvVkbVG9K\nsjjY68pIZjbXOVfpQyBWd5/J8voSuCLOtJFBZIgDJgcvEREREamAZGjmFhEREZEUlWp3JpNKhxYN\nKTzEbpGLiFSE6k2Rg4/uTIqIiIhIwhRMioiIiEjCFEyKiIiISMLUZ7ICFq7dTKsxr1Z3MSQFHWrD\nUYiEqN6UA0l1a/XQnUkRERERSZiCSRERERFJmIJJEREREUnYIRdMmtlkM3tlP2leMbPJVVQkEZGU\nM27cONq3bx/zfxE5dByKD+DcQOyfWhQRERGRcjjkgknn3ObqLoOIiIjIwSIlm7nNrJeZzTazbWa2\n2czmmFl7MzvSzJ4xszVm9oOZLTazKyKW3auZ28zqBdO2mdl6M7ut6rdIROTAeuONN2jQoAG7d+8G\nYMWKFZgZ1157bWma22+/nb59+wKwZMkSBg4cSIMGDWjSpAlDhgzh66+/rpayi0hyS7lg0sxqAi8C\nM4BOQDfgIWAPUAf4CBgEnAQ8DDxuZn3KyHI8cCbwc6AP0AXodaDKLyJSHXr27Mn27dspLCwEoKCg\ngEaNGlFQUFCapqCggJycHNatW0evXr1o3749c+bM4Z133mHbtm2ce+65lJSUVNMWiEiySrlgEjgM\nOBx42Tm30jm3zDn3L+fcUufcWufcH51z851znznn8oHngSHRMjKzDOBK4Fbn3JvOuUXAFUDM2tLM\n8sys0MwK9xSrxVxEUkNGRgYnn3wy06ZNA3zgOHLkSFavXs26desoLi7mww8/JCcnhwkTJtCpUyfu\nu+8+2rVrR8eOHfnHP/7BnDlzSoPR8sjPzycrK4usrCxUb4ocfFIumHTObQImA2+a2atmdrOZHQNg\nZmlm9msz+9jMvjWzbcAFwDExsssEagOzwvLfBiwsY/35zrks51xWWr2GlbRVIiIHXk5OTumdyHff\nfZcBAwbQrVs3CgoKmDlzJjVr1iQ7O5u5c+cyffp0MjIySl9HH300ACtXriz3evPy8igsLKSwsBDV\nmyIHn5R8AMc5d4WZPQT0BwYDd5nZeUBn4Bb8E9sLgW3A3UCT6iqriEiyyMnJ4ZFHHmHp0qVs2bKF\nk08+mZycHKZNm0aTJk3o0aMHtWvXpqSkhIEDBzJ+/Ph98mjatGk1lFxEkllKBpMAzrkFwALgPjN7\nHRgGNMA3f/8TwMwMaAt8HyOblcAuoDvwWbBMfaB9ME9E5KDRs2dPduzYwf3330/Pnj1JS0sjJyeH\nq6++mqZNm9K/f38Aunbtyr///W+OPfZYatWqVc2lFpFkl3LN3GZ2nJnda2anmNmxZtYb6AgsAZYD\nfcysp5mdADwCHBcrr6BJ+wl8QHqmmZ0ETATSDvyWiIhUrVC/yaeeeorevXsD0L17d9asWcPs2bPJ\nyckB4Prrr2fz5s1ccsklfPDBB3z22We888475OXlsXXr1mrcAhFJRikXTALF+LuN/8EHj08CTwP3\nAX8A5gCvA9OBomBeWUYB04AXgvdFwbIiIgednJwcdu/eXRo41qlTh27dupGenk52djYAzZs35/33\n36dGjRr079+fk046ieuvv5709HTS09OrsfQikozMOVfdZUhZ6c3auGbDHqruYkgKWnXvwOouQkrL\nyspK6KliqX7pzdqgelMOFNWtZTOzuc65rMrONxXvTIqIiIhIkkjZB3CSQYcWDSnUtyARkbip3hQ5\n+OjOpIiIiIgkTMGkiIiIiCRMwaSIiIiIJEx9Jitg4drNtBrzanUXQ6qYnhYUSZzqTYmX6trUoTuT\nIiIiIpIwBZMiIiIikjAFkyIiIiKSsKQOJs3sFTObXN3lEBE5lOXm5jJo0KAy0wwaNIjc3NyqKZCI\nJJWkDiZFREREJLkd1MGkmdWq7jKIiIiIHMySJpg0s3pmNtnMtpnZejO7LWL+L83sQzPbamYbzOw/\nZtYibH6OmTkzO9vM5pjZTqBfMO9sM/vAzH4ws2/N7GUzq2NmvzWzRVHK8r6Z/fmAb7SISDm98cYb\nNGjQgN27dwOwYsUKzIxrr722NM3tt99O3759AZg+fTrdunWjTp06NG3alJtuuomdO3eWps3JyWHk\nyJF7rWN/zdrFxcXk5uaSkZFB06ZNufvuuytzE0UkxSRNMAmMB84Efg70AboAvcLm1wbuADoBg4BG\nwDNR8rkPuB04AfjAzPoDLwFvAycDvYF38ds+ETjBzLJDC5vZ8cApwBOVuG0iIpWiZ8+ebN++ncLC\nQgAKCgpo1KgRBQUFpWkKCgrIyclh7dq1DBgwgC5dujBv3jyeeOIJnnnmGcaOHVuhMowaNYq3336b\n5557jilTpjBv3jymT59eoTxFJHUlRTBpZhnAlcCtzrk3nXOLgCuAklAa59xE59xrzrnPnHNzgBHA\naWbWMiK7cc65t4J03wC/Af7POXe7c26Jc+5j59x451yxc24N8AYwPGz54cBc59yCGGXNM7NCMyvc\nU7y50vaBiEg8MjIyOPnkk5k2bRrgA8eRI0eyevVq1q1bR3FxMR9++CE5OTk89thjNG/enMcee4x2\n7doxaNAg7r33Xh555BGKi4sTWv+2bdt44oknuP/+++nXrx/t27dn0qRJ1KgR++MkPz+frKwssrKy\nUL0pcvBJimASyMTfeZwVmuCc2wYsDP1vZl3N7EUzW21mW4HCYNYxEXkVRvzfBZhSxrr/BvzCzOqa\nWRpwGWXclXTO5TvnspxzWWn1Gu5vu0REKl1OTk7pnch3332XAQMG0K1bNwoKCpg5cyY1a9YkOzub\npUuX0r17970CvZ49e7Jz505WrFiR0LpXrlzJzp076dGjR+m0jIwMOnToEHOZvLw8CgsLKSwsRPWm\nyMEnJX5O0czqA28C7+CDvQ34Zu738EFouKJyZv8qUIxvXt8MHA78qyLlFRE5kHJycnjkkUdYunQp\nW7Zs4eSTTyYnJ4dp06bRpEkTevToQe3akVXj3swMgBo1auCc22verl27DljZReTgkyx3JlcCu4Du\noQlBANk++PcEfPB4m3NuunNuGdAkzrzn4ftgRuWc2w1MxjdvDweed86pHUZEklbPnj3ZsWMH999/\nPz179iQtLa00mAz1lwRo164ds2fPpqSktMcQM2bMoHbt2mRmZgLQuHFj1q1bt1f+CxZE7eUDQGZm\nJrVq1WL27Nml04qKili0aJ9nGUXkEJEUwWTQpP0EcJ+ZnWlmJ+EfjkkLknwB7ABGmtlPzWwgcGec\n2d8FXGRmfzCzE83sJDO7yczqhaX5O3A6/sEePXgjIkkt1G/yqaeeonfv3gB0796dNWvWMHv27NJg\n8rrrruOrr77iuuuuY+nSpbz66quMGTOGkSNHUq+erwLPOOMMXn/9dV566SU++eQTbr75Zr788ssy\n133llVcyevRo3n77bRYvXszw4cPZs2fPAd9uEUlOSRFMBkYB04AXgvdFwHSA4EGaYcB5wBL8U903\nx5Opc+414HxgAP4u5bv4J7rDH+75LJj+BVBQGRsjInIg5eTksHv37tLAsU6dOnTr1o309HSys/0A\nFS1atOD1119n3rx5dO7cmeHDhzNkyJC9hvIZPnx46evUU0+lQYMGnH/++WWue/z48fTu3Zvzzz+f\n3r170759e3r16lXmMiJy8LLIvjKHKjNbAjztnLsr3mXSm7VxzYY9dABLJclo1b0Dq7sIh7ysrKzS\noXEktaQ3a4PqTYmH6trKZ2ZznXNZlZ1vSjyAcyCZWWPgQqAV8Hj1lkZEREQktRzywST+yfCNwDXO\nuY3VXRgRERGRVHLIB5POOUt02Q4tGlKo2/AiInFTvSly8EmmB3BEREREJMUomBQRERGRhCmYFBER\nEZGEHfJ9Jiti4drNtBrzanUXQ6qAhqgQqRyqNyUa1bGpTXcmRURERCRhqRZMtsT/zOJX+J9XXAU8\nBPwkgby6Av8C1gR5rcf/Cs7llVFQERERkUNBKjVzZwIzgSbAi8AyIBu4AegPnAp8G2deI4GHge+A\nV4G1wBFAe+Bs4B+VWXARERGRg1UqBZOP4QPJ/wH+Ejb9QeAm4C7g2jjyOQv4M/A2/pdvtkbMr1Xh\nkoqIiIgcIlKlmTsTHwSuAh6NmHcHUARcBtSPI68/Aj8Al7JvIAmwK+FSioiIiBxiUiWY7B28vwWU\nRMzbCrwP1AO67yef9kDHIJ9N3377bV9gFHAL0IfU2R8iIiIiSSFVgqfjg/floQlmVmBmE8zsgfr1\n65/euHFjhgwZco2ZpZvZo2b2vZl9YWaXBelbmdnCZ555hvbt22enp6fvfuaZZ97evHnzHy+77LLx\nTZo0eSc9PX137dq1vzCzG6tlK0VEEuCc44EHHqBNmzakp6fTsmVLxo4dC8DChQvp27cvdevW5Ygj\njiA3N5fNmzeXLpubm8ugQYO47777OOqoo2jYsCFjxoyhpKSEcePG0aRJE4466ijuu+++vda5efNm\n8vLyaNKkCQ0aNOD000+nsLCwSrdbRJJDqvSZbBi8b46YPhR48LXXXptYWFg4YtSoURcBDYA3gCxg\nGPB3M3sntMDYsWP54x//eFTnzp3XLVu2bGyzZs1Odc71+s9//rOqQ4cOA5YuXcqFF164PlZBzCwP\nyANIO6xxJW6iiEhibrvtNiZMmMCDDz5Ir169+Oabb5g3bx5FRUX069eP7Oxs5syZw6ZNm7j66qsZ\nPnw4zz33XOny06dPp2XLlhQUFDBv3jyGDh3K/Pnz6dKlCzNmzGDq1KmMGDGCvn37cvLJJ+OcY+DA\ngTRs2JBXXnmFI444gieffJIzzjiDTz75hGbNmu1Vvvz8fPLz8wHYUxxZjYtIqjPnXHWXIR75wNXB\n6+/g70wC6c65HsBdzrnbMjIyioqLi6c65wYHaWrh+1NeChQCn48fP55bbrkF4BRglpm9BGx0zl0J\nzMEHoZcCz+yvUOnN2rhmwx6q3C2VpKQBdZNLVlaW7oIFtm3bRqNGjXjooYe49tq9n0H829/+xqhR\no1izZg0NGjQAoKCggN69e/Ppp5/SunVrcnNzmTJlCqtWrSItLQ3w+3fXrl0sWLCgNK9WrVoxcuRI\nRo0axdSpUxk8eDDffPMNdevWLU3TuXNnLr30Um699daY5U1v1gbVmxJJdWzVMLO5zrmsys43VZq5\nQ19lG0ZM/zg03cyoW7fuFmBhaKZzbhd++J8moWlZWVkAXwOzgkkTgEvMbP7ZZ5+949133wU/5JCI\nSNJbsmQJO3bsoE+fPvvMW7p0KR07diwNJAFOOeUUatSowZIlS0qnnXjiiaWBJEDTpk1p3779Xnk1\nbdqUDRs2ADB37lyKi4tp3LgxGRkZpa9FixaxcuXKyt5EEUlyqdLM/Unw3jZieujJ6zYAO3fu3MG+\nT2M7woLm+vXrA3xfOtO5183sWGDAhg0brh84cCDdu3cf8M4779xUieUXEUkqZlb6d61atfaZF21a\nSYl//rGkpISmTZvy3nvv7ZPvYYcddgBKKyLJLFWCyWnB+1n4wDD8ie4G+AHLi4uKior3l1FJSckP\nQCv8MEJFAM65jcA/gVOeffbZbr/4xS/amlm6c25H5W2CiEjla9euHenp6UyZMoU2bdrsM2/ixIls\n3bq19O7kzJkzKSkpoV27dgmvs2vXrqxfv54aNWrw05/+tELlF5HUlyrN3Cvxw/m0Aq6PmPc7fGD4\nz5KSkvAOoCcEr7189dVXLwJ1gD8AZma/N7Pz7rzzzoGLFy++4rnnnnO1atX6QoGkiKSCBg0acMMN\nNzB27FgmTZrEypUrmTNnDhMmTGDo0KHUq1ePyy+/nIULFzJ9+nSuueYaLrjgAlq3bp3wOvv27cup\np57Kueeey+uvv87nn3/OrFmzuOOOO6LerRSRg1uqBJMA1wEb8L9e89+2bdseN2TIkPPwv36zHPh1\nRPqlwWsvv/3tb/8KzAduBGYNGzbsjKOPPnryPffc88ppp52WvmDBgmW7du0acEC3RESkEt1zzz2M\nHj2aO++8k3bt2vHzn/+cNWvWUK9ePd588022bNlCdnY25557Lj169GDixIkVWp+Z8dprr3HGGWdw\n9dVXc/zxx3PxxRfzySef0Lx580raKhFJFanyNHfI0cDv8b/FfSSwDngBf3fyu4i0oQ0z9pUBjAUu\nAo7F/yLOHGA8/g5oXPQ096FDTxomFz3Nnbr0NLdEozq2ahyop7lTpc9kyJfAFXGmjRZEhmzD38mM\nvJspIiIiIuWQasFkUunQoiGF+jYlIhI31ZsiB59U6jMpIiIiIklGwaSIiIiIJEzBpIiIiIgkTH0m\nK2Dh2s20GvNqdRdDKomeJhQ58FRvSjjVuwcH3ZkUERERkYQpmBQRERGRhCmYFBEREZGEHdLBpJmN\nM7NF1V0OERERkVR1SAeTIiIiIlIxCiZFREREJGFJE0yaWYGZTTCzB8xsk5l9Y2Y3mFm6mT1qZt+b\n2RdmdlmQvpWZOTPLisjHmdmFYf83N7OnzexbMys2s/lm1jtimV+Y2Uoz22pm/zWzRlWz1SIiVW/H\njh3ceOONNG3alDp16tC9e3dmzJgBQEFBAWbGlClT6NatG/Xq1SMrK4uPPvporzxmzpzJ6aefTr16\n9WjRogUjRoxgy5Yt1bE5IlLNkiaYDAwFtgLdgHuBh4D/AsuBLOBJ4O9m1iyezMysPvAu0Ao4D+gA\n/D4iWSvgEuB84CygC3BXxTZDRCR53XrrrTz77LNMnDiRefPm0aFDB/r378+6detK04wdO5Z7772X\njz76iCOPPJKhQ4finANg4cKFnHXWWQwePJgFCxbw/PPPM3/+fIYPH15dmyQi1SjZBi1f7JwbB2Bm\nDwJjgF3OuYeDab8HRgOnAoVx5HcpcBTQwzm3MZi2MiJNTSDXObc5WEc+cEWsDM0sD8gDSDuscXxb\nJSKSJIqKipgwYQJ///vfGTjQDxj917/+lalTp/Loo4/St29fAO6880569/aNOL/97W/p2bMna9eu\npWXLlvzxj3/kkksu4ZZbbinNd8KECXTp0oUNGzbQpEmTvdaZn59Pfn4+AHuKN1fFZopIFUq2O5Mf\nh/5w/ivwBmBh2LRdwHdAk30XjaoL8HFYIBnN6lAgGfiqrPydc/nOuSznXFZavYZxFkNEJDmsXLmS\nXbt2ceqpp5ZOS0tLo0ePHixZsqR0WseOHUv/bt68OQAbNmwAYO7cuTz11FNkZGSUvkL5rVwZ+X0d\n8vLyKCwspLCwENWbIgefZLszuSvifxdjWg2gJPjfQjPMrFYlrTPZgmwRkQPOrLQ6pVatWvtMLykp\nKX2/6qqruOmmm/bJo0WLFge4lCKSbJItmCyPb4L38P6TnSPSzAMuM7NG+7k7KSJySMjMzKR27dq8\n//77ZGZmArBnzx5mzZrFpZdeGlceXbt2ZfHixbRu3fpAFlVEUkTK3oFzzv0AzAZGm9lJZnYKMD4i\n2b/wTeUvmtlpZvZTMxsc+TS3iMihon79+owYMYLRo0fz2muvsXTpUkaMGMH69eu57rrr4spj9OjR\nzC6tTtIAACAASURBVJkzh2uvvZZ58+axYsUK/n97dx4eRZX2//99B5KwBGNQlgAKiKyyKS2IigY3\neIQR14dxHCWgE1QYN5gBB78O4jMqjCjMgEsYwHUWd8fxpyhowEEWg8uwCYJGFILIyBYiAZLz+6Mq\nsckCSdNJd4fP67rq6u6qU6dOVXVO7j51TtW//vUvRo4cWc2lF5FoFMstkwAjgL8AH+ENrLkVWFS8\n0Dm318zOB6YCbwAJwDqg7LUZEZFjxOTJkwEYPnw4O3fu5PTTT+ftt98mNTWVdevWHXH97t27s2jR\nIu655x7OP/98CgsLOeWUU7jiiiuqu+giEoWs+FYPUnWJqe1d6rBpkS6GhEnOQ4MiXQSppEAgQHZ2\nZW7oINEmMbU9qjelmOrdmmVmK5xzgSOnrJqYvcwtIiIiIpGnYFJEREREQhbrfSYjqlvLZLLVRC8i\nUmmqN0VqH7VMioiIiEjIFEyKiIiISMgUTIqIiIhIyNRn8iis3LyLNuPfjHQx5CjothQiNUv1Zu2k\nuvTYppZJEREREQmZgkkRERERCZmCSREREREJmYJJEZFabPDgwaSnpwOQlpbG6NGjD5u+a9euTJw4\nsfoLJiK1hgbg+MwsC1jlnDt8TSsiEqNeeeUV4uPjw5pnTk4Obdu25aOPPiIQCPsjf0UkBiiYFBE5\nRjRu3DjSRRCRWigqL3ObWZaZPW5mU83sBzP73sxuN7NEM5tpZjvNbJOZXe+nb2NmzswCpfJxZnZ1\n0Od7zexrMysws61m9ow//yngfGCUv44zszY1tsMiImGQn59Peno6SUlJNGvWjAceeOCQ5aUvc2/b\nto0hQ4ZQv359WrduzZw5c8rkaWZkZmZyzTXX0LBhQ0455RSee+65kuVt27YF4Mwzz8TMSEtLq56d\nE5GoFZXBpO86YA/QB3gImAa8BqwHAsDTwF/MLLUymZnZVcBY4FagPTAYWO4vvh1YAswFUv3pmwry\nyTCzbDPLLszfFdqeiYhUg7Fjx/Luu+/y8ssvs2DBAj755BMWLVpUYfr09HQ2bNjA/Pnzee2113jm\nmWfIyckpk27SpEkMGTKEzz77jKFDhzJixAg2bdoEwPLlXjX69ttvk5ubyyuvvFJm/czMTAKBAIFA\nANWbIrVPNAeTq51zE51zXwCPANuBA8656c65DcAkwIBzKplfayAXeMc5t8k5l+2cmwHgnNsF7Afy\nnXNb/amwvEycc5nOuYBzLlCnQfJR7qKISHjk5eUxe/ZspkyZwoABA+jatStz584lLq78an79+vW8\n9dZbZGZmcs4553D66afz9NNP8+OPP5ZJe/311/PLX/6SU089lfvvv5+6deuWBKlNmjQB4IQTTqB5\n8+blXkrPyMggOzub7OxsVG+K1D7RHEz+p/iNc84B24CVQfMOADuAppXM70WgHvCVmc02s2vMLDGM\n5RURiZiNGzeyf/9++vbtWzIvKSmJbt26lZt+7dq1xMXF0bt375J5rVu3pkWLFmXSdu/eveR93bp1\nadKkCdu2bQtj6UUklkVzMHmg1GdXwbw4oMj/bMULzOyQIYvOuW+AjsBIYDcwFVhhZg3DWGYRkZhi\nZkdMU3oEuJlRVFRUQWoROdZEczBZFd/7r8H9J3uWTuSc2+ece9M5dydwJnAaP10m3w/UqdZSiohU\nk3bt2hEfH8/SpUtL5u3du5dVq1aVm75Tp04UFRWV9HkE2LRpE1u2bKnSdhMSEgAoLCy3Z5CIHANq\nxa2BnHM/mtlSYJyZbQSSgQeD05hZOt7+LgPygKF4LZ1f+ElygN7+KO484AfnnH56i0hMSEpK4sYb\nb2TcuHE0adKEFi1aMGnSpAqDvI4dOzJw4EBGjhxJZmYm9evX56677qJ+/fpV2m7Tpk2pX78+8+bN\no02bNtSrV4/kZPWLFDmW1JaWSYAR/utHwJPAPaWW7wRuBD4AVgFXAVc6577ylz+M1zq5Bq+l8+Tq\nLrCISDg9/PDD9O/fnyuuuIL+/fvTtWtXzjvvvArTP/XUU7Rt25YLLriAn/3sZ/ziF7+gTZs2Vdpm\n3bp1+dOf/sRf/vIXWrRowZAhQ45yL0Qk1pg3tkVCkZja3qUOmxbpYshRyHloUKSLICEIBAJkZ2dH\nuhgSgsTU9qjerH1Ul8YGM1vhnAv7o6pqU8ukiIiIiNSwWtFnMlK6tUwmW7/GREQqTfWmSO2jlkkR\nERERCZmCSREREREJmYJJEREREQmZ+kwehZWbd9Fm/JuRLoaUQyMLRaKT6s3aRXWtgFomRUREROQo\nKJgUERERkZApmBQRERGRkFV7MGlmWWY2I0zZtQLmAFuAArznaU8DUo4iz/OAQsAB/3eU5RMRERE5\npsRSy2Q7YAUwHFgOPAp8CdwOLAFOCCHPRsDTQD5A48aNR5vZ2LCUVkTkGJCVlYWZsX379kgXRUQi\nJJaCyceApsBtwOXAeOACvKCyI/CHEPKcDiQDD4apjCIiIiLHlJoKJuua2XQz2+FPfzSzOAAzSzCz\nyWb2rZnlm9lHZjageEUzSzMzt2DBgkvOOOOMAj9ttpmd4Sf5/ezZswuSkpJGtmrVapCZrTKzvWb2\nvpm1DS6Emf3MzFaY2b6kpKTvJkyYMHznzp13AlvS0tLYsWNHMvBHM3Nm5mro2IiIRMzevXu54YYb\nSEpKolmzZjz44IMMHjyY9PR0APbv38+4ceNo1aoVDRo04Mwzz2TevHkA5OTk0L9/fwCaNGmCmZWs\nJyLHjpoKJq/zt9UXGAlkAHf4y+YC5wO/ALriXXZ+w8x6BGdw9913c+edd74LnAH8F3jezAzYs2PH\nji8KCgo4cODAJGCEv53jgSeK1/cD1OeBGddee22/V155JeHpp5/OS0lJ6QbwyiuvkJycvBuYBKT6\nk4hIrTZmzBgWLlzIq6++ynvvvcdnn33GBx98ULJ8+PDhLFy4kL/+9a+sWrWKYcOG8bOf/YzPPvuM\nk046iZdffhmA1atXk5uby/Tp0yO1KyISITV10/Jc4DbnnAM+N7MOwF1m9jpwLdDGObfJTzvDzC7C\nCzpvLc7g/vvvZ8CAAVnXX3/952Y2Cfg30BL4dvfu3d8dPHiw66xZs9647LLLlgOY2cPAHDMzf7sT\ngD865+YCrwOFycnJd2zevHlmYWHh6MaNGxMXF+eAPc65rRXtiJll4AXD1DmuSTiPkYhIjcrLy2PO\nnDk888wzXHzxxQDMnj2bVq1aAbBx40b+9re/kZOTw8knnwzA6NGjmT9/Pk8++SSPPfYYjRs3BqBp\n06aceOKJ5W4nMzOTzMxMAArzd1X3bolIDaupYHKpH9AVWwLcD5wLGLDGa2QskQi8Fzyje/fuAMW1\n0Bb/tSnwbUFBwY+JiYlcdtllBUGrbAES8EZ6/wD0AnrHx8dPSExMTCwoKCg4ePDg40D9ZcuWJZ99\n9tmV2hHnXCaQCZCY2l6XwkUkZm3cuJEDBw7Qu3fvknkNGzaka9euAHz88cc45+jSpcsh6xUUFHDB\nBRdUejsZGRlkZGQAkJjaPgwlF5FoEg2PU3TAmcCBUvN/DP4QHx9feh0Iukxft26ZXSmdJq5169bT\n33nnnVv37NnzXiAQuK04YY8ePc4LregiIrVXUVERZsZHH31Uug6mfv36ESqViESbmgom+wRdbgY4\nC6/lcAley2Rz59z7lcgnubyZiYmJxbXazsOs+3H37t1v6NChQz5wg3Mu+D4W5wLUrVu3EKhTiXKI\niMS8du3aER8fz0cffcQpp5wCQH5+PqtWraJdu3acfvrpOOfYunVryUCb0hISEgAoLCyssXKLSHSp\nqQE4LYBpZtbRzK4GfgM86pxbjzco5ikzu9rMTjGzgJmNNbMry8mnQ3mZH3fccc38t+sPU4ZJb731\nVvN777236apVq77//PPP3UsvveR++9vfOrxBQPTs2bPxoEGDHlq/fv3bZlZ+5x8RkVoiKSmJESNG\nMG7cOBYsWMCaNWu46aabSlokO3TowHXXXUd6ejovvfQSX375JdnZ2Tz88MO88sorALRu3Roz4803\n3+T7778nLy8vwnslIjWtpoLJ5/Fa/JYBs4DZePeHBO8m5HOBKcDnwL/wnkrzdTn5XELZMjdKSUkp\n7oSztKICOOfmzZw58/UXX3zxu169ehWefvrpB8aNG7fdObcEWAQwfvz49StXrvyhS5cuFwLfh7Kj\nIiKx5OGHH6Zfv35cdtll9O/fn+7duxMIBKhXrx4Ac+fOZfjw4fz2t7+lU6dODB48mEWLFtG6dWsA\nWrZsyX333ceECRNo1qwZo0ePjuTuiEgE2KHjYqLaPLxg8jbgz0HzHwHuBJ4Ebg6a38l//bwSeafj\nBbR/AO6pbIESU9u71GHTKptcalDOQ4MiXQSpRoFAgOzs7EgXo1YqKCigdevW/OY3v2HMmDFhzz8x\ntT2qN2sP1bWxxcxWOOcC4c43GgbgVNatwIfAn4ALgbVAH6A/3uXtCaXSr/VfDRERKdcnn3zC2rVr\n6d27N3v27GHy5Mns2bOHoUOHRrpoIhIjYimY3AgE8G4qPhC4FO/+ldOB+4AdkSuaiEjseuSRR1i3\nbh1169alZ8+eLFq0qORekyIiRxJLl7mjTiAQcLrUJlLzdJk7dunciUROdV3mrqkBOCIiIiJSCymY\nFBEREZGQKZgUERERkZDF0gCcqLNy8y7ajH8z0sWQILpNhUh0U71ZO6iulWBqmRQRERGRkCmYFBER\nEZGQKZgUERERkZDV2mDSzJyZXR3pcoiIRJPBgweTnp4e6WKISC1Sa4NJIBV4I9KFEBGpzSZOnEjX\nrl0jXQwRiaBaO5rbObc10mUQERERqe1iomXSzLLM7HEzm2pmP5jZ92Z2u5klmtlMM9tpZpvM7Pqg\ndQ65zG1m95rZ12ZWYGZbzeyZoGXnmdlSM8szs11mttzM9FNbRGJafn4+6enpJCUl0axZMx544IFD\nlu/YsYNhw4aRkpJC/fr1ueiii1i9enXJ8qeeeoqkpCQWLFhA165dadiwIf379+err74qWX7fffex\nevVqzAwz46mnnqrJXRSRKBATwaTvOmAP0Ad4CJgGvAasBwLA08BfzCy19IpmdhUwFrgVaA8MBpb7\ny+oCrwP/Bnr4+U8DCssrhJllmFm2mWUX5u8K5/6JiITV2LFjeffdd3n55ZdZsGABn3zyCYsWLSpZ\nnp6ezrJly3j99ddZvnw5DRo0YODAgfz4448laQoKCnjwwQeZM2cOS5YsYefOndx8880ADB06lDFj\nxtCxY0dyc3PJzc1l6NChZcqRmZlJIBAgEAigelOk9omly9yrnXMTAczsEWA8cMA5N92fNwkYB5wD\nvFRq3dZALvCOc+4AsAnI9pcdBxwPvOGc2+jP+7yiQjjnMoFMgMTU9u7od0tEJPzy8vKYPXs2c+bM\nYcCAAQDMnTuXVq1aAfDFF1/wz3/+k4ULF3LeeecB8Oyzz3LyySfz/PPPc9NNNwFw8OBBZs6cSceO\nHQEvQB0xYgTOOerXr09SUhJ169alefPmFZYlIyODjIwMABJT21fbPotIZMRSy+R/it845xywDVgZ\nNO8AsANoWs66LwL1gK/MbLaZXWNmif56PwBPAfPM7E0zu8vMTq6+3RARqX4bN25k//799O3bt2Re\nUlIS3bp1A2Dt2rXExcUdsjw5OZlu3bqxZs2aknmJiYklgSRAixYt2L9/Pzt27KiBvRCRWBBLweSB\nUp9dBfPK7JNz7hugIzAS2A1MBVaYWUN/+XC8y9uLgMuAdWY2IKylFxGJEWZW8r5u3brlLisqKqrR\nMolI9IqlYPKoOOf2OefedM7dCZwJnIZ3Sbx4+WfOucnOuTQgCxgWkYKKiIRBu3btiI+PZ+nSpSXz\n9u7dy6pVqwDo3LkzRUVFLFmypGT57t27WblyJV26dKn0dhISEigsLLeLuYgcI2Kpz2TIzCwdb1+X\nAXnAULxWzS/MrC1ei+U/gc3AKUB34PGIFFZEJAySkpK48cYbGTduHE2aNKFFixZMmjSpJPBr3749\nQ4YMYeTIkWRmZnL88cczYcIEjjvuOH7xi19Uejtt2rTh66+/5uOPP+bkk0+mUaNGJCYmVtduiUgU\nOlZaJncCNwIfAKuAq4ArnXNfAflAB7x+levxRoU/D0yOTFFFRMLj4Ycfpn///lxxxRX079+frl27\nlgy2AW9ATu/evbnsssvo3bs3+fn5vP3229SvX7/S27jqqqu49NJLufDCC2nSpAl/+9vfqmNXRCSK\nmTeWRUKRmNrepQ6bFuliSJCchwZFughSAwKBANnZ2UdOKFEnMbU9qjdjn+ra2GRmK5xzgXDne6y0\nTIqIiIhINTgm+kxWl24tk8nWrzMRkUpTvSlS+6hlUkRERERCpmBSREREREKmYFJEREREQqY+k0dh\n5eZdtBn/ZqSLcUzRCEKR2KZ6M3ap/pWKqGVSREREREKmYFJEREREQqZgUkRERERCpmBSRERIT09n\n8ODBZd6LiByJBuCIiAjTp0+n+PG6we9FRI5EwaSIiJCcnFzuexGRI4npy9xmlmhm08zsOzPbZ2ZL\nzexcf1mamTkzu9DMlplZvpllm9kZpfI428wW+ss3m9njZnZcZPZIRCQyDneZOy0tjVtuuYUxY8bQ\nuHFjmjRpwvTp0ykoKGDUqFEcf/zxnHzyyTz77LORKr6IRFBMB5PAFGAoMAI4HVgJvG1mqUFpHgTG\nA2cA/wWeNzMDMLNuwDvAP4EewJVAT2BOTe2AiEgseP7552nUqBHLli1j/Pjx3HHHHVx++eV06NCB\n7Oxshg0bxk033URubm6kiyoiNSxmg0kzawjcAoxzzr3pnFsL3Ax8B4wKSvr/nHPvO+c+ByYBnYCW\n/rLfAP9wzk11zn3hnFvm53mVmTWtYLsZfgtndmH+rmraOxGR6HLaaacxceJE2rdvz1133cWJJ55I\nfHw8t99+O6eeeir33nsvzjkWL15cZt3MzEwCgQCBQADVmyK1T8wGk0A7IB4oqbmcc4XAEqBLULr/\nBL3f4r8WB4q9gF+aWV7xFJRfu/I26pzLdM4FnHOBOg3Ur0hEjg3du3cveW9mNG3alG7dupXMi4+P\nJyUlhW3btpVZNyMjg+zsbLKzs1G9KVL71NYBOMHDEA+UMz8u6PUvwKPl5LG5GsolIhKT4uPjD/ls\nZuXOKyoqqsliiUgUiOVgciOwHzjHf4+Z1QH6An+tZB4fA6c55zZUSwlFREREarmYvcztnNsLPA5M\nNrNLzayz/7kZ8Fgls5kM9DazJ8zsdDM71cwGm9mT1VRsERERkVolllsmAcb5r3OB44FPgIHOuVwz\n63iklZ1z/zGz84D/AxYCdYAvgVerqbwiIiIitUpMB5POuQLgDn8qvSwLsFLzcsqZlw0MrLZCiojE\ngIKCApKSkgB46qmnDlmWlZVVJv2qVavKzNu6dWt1FE1EolzMXuYWEZGjd/DgQdasWcOSJUvo2rVr\npIsjIjFIwaSIyDFs1apVBAIBTjvtNEaNGnXkFURESonpy9yR1q1lMtkPDYp0MUREQtazZ0/y8/Nr\nbHuqN0VqH7VMioiIiEjIFEyKiIiISMgUTIqIiIhIyNRn8iis3LyLNuPfjHQxjhk56mclEvNUb8YO\n1blSWWqZFBEREZGQKZgUERERkZApmBQRERGRkMVUMHn88ce/cOaZZ24CtgAFQA4wDUipZBYNgeuA\nvwKfA3uBPUA2MAZICHORRUSiRk5ODmZGdnZ2pIsiIrVILA3AaffVV1+lmVkT4HW8YLA3cDves7XP\nAf57hDz6Ac8BPwDvA6/hBaKXAQ8DVwIXAvuqYwdERGpSWloaXbt2ZcaMGQCcdNJJ5ObmcuKJJ0a4\nZCJSm8RSMPlYSkpKE+A24M9B8x8B7gT+ANx8hDy2Ar8EXgT2B80fC2QBZwOjgKnhKbKISPSoU6cO\nzZs3j3QxRKSWiZXL3O2AS37+85/nmdkAADMbaGYfmNnwxo0bc/HFF9/Uo0ePM4pXMLM2ZubM7Coz\ne9fM8s3sr2a2jaBA0sy6mNnf4+PjuzRt2pRLLrnkLjNTbSsiMS09PZ2FCxcyc+ZMzAwzK3OZOysr\nCzPjrbfeolevXtSvX59+/frx7bffsnDhQnr06EFSUhKDBw/mv/899MLP3Llz6dKlC/Xq1aNDhw48\n+uijFBUVRWJXRSTCYiWY7A+wffv2LUHzGuL1l+z9z3/+88OUlJQ6GzZseMPMSvd7/APwJ6AH8BHw\ndzNLAjCzVGARsGr27Nl3z58/n7y8vDjgdTMr99iYWYaZZZtZdmH+rrDupIhIuEyfPp2+ffsyfPhw\ncnNzyc3NpbCwsNy0v//975k2bRrLli1jx44dDB06lEmTJpGZmUlWVharV69m4sSJJelnzZrF7373\nOyZNmsTatWuZOnUqkydP5rHHHis3/8zMTAKBAIFAANWbIrVPrFzm7giwZ8+e3cUznHMvBy3/5PTT\nTz+7UaNGqXj9KP8dtOxR59wbAGb2O+AGoKef5hbgM+fcOOAtgLlz507p1KnTI0AAWF66IM65TCAT\nIDG1vQvbHoqIhFFycjIJCQk0aNCg5NJ2Tk5OuWnvv/9++vXrB8DNN9/Mr3/9a1asWMEZZ3gXe4YN\nG8ZLL710SPopU6Zw9dVXA9C2bVvGjx/PY489xujRo8vkn5GRQUZGBgCJqe3Dto8iEh1iJZhMBti/\nf3/w5el2wP1An8TExFZ169bFOWfAyaXW/U/Q++KWzab+ay/gvISEhIKEhISEoqKioh9//PF+f1k7\nygkmRURqm+7du5e8b9asGQDdunU7ZN62bdsA+P777/nmm28YOXIkt9xyS0magwcP4px+X4sci2Il\nmCzPv4BvgZFvvPHG1W3atBnZqVOnoqKiotKXuQ8Uv3HOOTODny7vx7Vp0+bjd955p1dhYeH3s2bN\nGvrII4984y/7rtr3QEQkCsTHx5e89+vIMvOK+0MWvz7xxBOcffbZNVhKEYlWsRJM7gJISEhIADCz\nE4BOwK3OufeByz/++GOKioqq1Ae0b9++ed9///3A1q1b5yYkJPSfOnXquqlTNZBbRGqHhISECvtJ\nhqpZs2a0aNGCjRs3csMNN4Q1bxGJTbESTK4DaNSo0XF4LYY7gO3Ar8zsm1dffbX3Aw88gJkVVuEy\nyzUvvvji5T169Chq1qzZyp07dx4PnOJP/wuMcc7tCf+uiIjUjDZt2rB8+XJycnJISkoK22jr++67\nj1//+tccf/zxXHrppRw4cICPP/6YzZs3c/fdd4dlGyISO2JlNPf7ACeeeGILAOdcETAU6A6smjBh\nQq/77ruvwDlXqZuNjxo1qh/wt5YtW265/vrrL965c+ce4G1gNTAT7+k6BdWwHyIiNWbs2LEkJCTQ\npUsXmjRpQlxceKr8m266iTlz5vDss8/So0cP+vXrR2ZmJm3btg1L/iISWyyGOkzPu/baay9Zs2bN\nx5999lmvoPnFNy1/kkNvWt7Jf/28VD7DgDnA13i3HPo61AIlprZ3qcOmhbq6VFHOQ4MiXQSJEoFA\nQI8EjFGJqe1RvRkbVOfWPma2wjkXCHe+MXGZ28zq3nzzzY8sXrz4ooyMjDPwHoO4FuiDFxCuByaU\nWm1t8epB8/rjBZJxeK2dw8vZ3E68+1eKiIiIyBHERMukmfUEPmzYsOGSdevWbW3ZsuUFwAlALvAq\ncB9eP8pgxTsWHEymA3OPsLmvgTaVKVcgEHBqHRGpeWqZjF06dyKRc0y3TDrnPgUaVHE1K2feU/4k\nIiIiImEQKwNwRERERCQKKZgUERERkZDFxGXuaLVy8y7ajH8z0sWo9TSiUKT2UL0Z/VTnSlWpZVJE\nREREQqZgUkRERERCpmBSREREREJWLcGkmWWZ2YxQlx/Fdp2ZXR3ufEVEjmUTJ06ka9euh00zevRo\n0tLSaqZAIhJVIjUA50rgQIS2LSIiIiJhEpFg0jn3QyS2KyIiIiLhVZ19Juua2XQz2+FPfzSzOCh7\nmdvMcszsHjN70sx2m9m3Zvab4MzMrIOZLTSzfWa2zswuNbM8M0uvqABm1tLM/h5UhjfNrL2/rI2Z\nFZlZoNQ6vzKz7WaWENajISJSTZxzTJ06lfbt25OYmEirVq24++67AVi5ciUXXXQR9evXp3HjxqSn\np7Nr166SddPT0xk8ePAh+R3psnZhYSFjx44lJSWFlJQU7rjjDgoLC6tn50Qk6lVnMHmdn39fYCSQ\nAdxxmPR3AiuBM4DJwBQz6wvgB6GvAgeBs/Cesf17ILGizMysAfA+sA843y9HLjDfzBo453KAd4ER\npVYdATzrnNtf+V0VEYmc3/3ud9x///3cfffdrF69mhdffJGTTjqJvXv3MmDAAJKSkli+fDmvvvoq\nH374ISNGlK72qmbq1KnMmjWLJ598kiVLllBYWMjzzz8fpr0RkVhTnZe5c4HbnHMO+NzMOgB3AY9U\nkP4d51xxa+Wfzew24EJgCXAx0BG4xDm3GcDM7gQWH2b7P8d7PvdwvwyY2UhgGzAYeAGYBcwys7uc\nc/vMrDNesPqrijI1swy8wJg6xzU5wiEQEaleeXl5PProo0ybNq0kSDz11FPp27cvs2bNYu/evTz7\n7LM0atQIgMzMTPr378+GDRs49dRTQ9rmtGnT+O1vf8v//u//AjB9+nTmzZtXYfrMzEwyMzMBKMzf\nVWE6EYlN1dkyubQ4iPMtAVqa2XEVpP9Pqc9bgKb++07AluJA0vcRUHSY7fcC2gJ7/MvhecAuIAVo\n56d5HdiPNyAIvFbJ5c65VRVl6pzLdM4FnHOBOg2SD7N5EZHqt2bNGgoKCrjwwgvLLFu7di3du3cv\nCSQBzj77bOLi4lizZk1I29u1axe5ubn07du3ZF5cXBx9+vSpcJ2MjAyys7PJzs5G9aZI7RNNj1Ms\nPbrbcXTBbhzwKV4LZWk/ADjnDpjZM8AIM3sBuB649yi2KSISE8wM8ALBQ3/3w4EDutmGiFRenvY7\nXQAAFv1JREFUdbZM9rHi2spzFl7r4u4Q8vocaGFmLYLmBTh8+T8GTgW2O+c2lJqCR5P/BegP3Ao0\nAv4eQvlERCKic+fOJCYmsmDBgnKXrVy5kj179pTM+/DDDykqKqJz584ANGnShNzc3EPW+/TTTyvc\nXnJyMqmpqSxdurRknnOO5cuXH+2uiEiMqs5gsgUwzcw6+jcS/w3waIh5vQusA542sx5mdhZe38uD\neC2Y5Xke+A543czON7O2ZnaemU0tHtEN4JxbB/wb+CPwUojBrohIRDRq1Ijbb7+du+++m7lz57Jx\n40aWL1/O448/znXXXUeDBg244YYbWLlyJYsWLWLkyJFceeWVJf0lL7jgAj755BPmzJnDhg0bmDJl\nCosXH647Otx+++1MmTKFl156iXXr1nHHHXeUCUhF5NhRncHk80AdYBneQJfZhBhMOueKgCvwRm8v\nB54G/oAXSO6rYJ184DzgS+BFvNbNp/H6TO4olXw2kOC/iojElAcffJBx48Zx//3307lzZ6666iq+\n/fZbGjRowLx589i9eze9e/dmyJAh9O3blzlz5pSsO2DAAH7/+98zYcIEevXqRU5ODrfeeuthtzdm\nzBiGDx/OTTfdRJ8+fSgqKuK6666r7t0UkShlpfvKxAoz64HXJzLgnFtxlHmNA250znWoynqJqe1d\n6rBpR7NpqYSchwZFuggSZQKBANnZ2ZEuhoQgMbU9qjejm+rc2svMVjjnAkdOWTXRNADnsMzsCmAv\n8AXQBu8y92d4fSNDzTMJaA3cjtfSKSIiIiJVEDPBJN7gmMnASXiXqbOAO93RNa3OAK4F/gk8WdWV\nu7VMJlu/4EREKk31pkjtEzPBpHPuGeCZMOeZjvc0HREREREJQXUOwBERERGRWk7BpIiIiIiETMGk\niIiIiIQsZvpMRqOVm3fRZvybkS5GraJbUojUbqo3o5PqXjkaapkUERERkZApmBQRERGRkCmYFBER\nEZGQRV0waWZZZjYj0uUQERERkSOLumBSRERiS1paGqNHj450MUQkQhRMioiIiEjIoj6YNLMLzWyn\nmd1sZk+Z2b/M7HYz22xmO8xsrpk1CEqfaGbTzOw7M9tnZkvN7Nyg5UvNbHzQ5+fMzJlZc/9zAzMr\nCF5HRCRWvP322zRq1IiDBw8CsGHDBsyMm2++uSTNPffcw0UXXQTAmjV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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plot the results: are there striking differences in language?\n", + "import numpy as np\n", + "import pylab\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline\n", + "def plotTwoLists (wf_ee, wf_bu, title):\n", + " f = plt.figure (figsize=(10, 6))\n", + " # this is painfully tedious....\n", + " f .suptitle (title, fontsize=20)\n", + " ax = f.add_subplot(111)\n", + " ax .spines ['top'] .set_color ('none')\n", + " ax .spines ['bottom'] .set_color ('none')\n", + " ax .spines ['left'] .set_color ('none')\n", + " ax .spines ['right'] .set_color ('none')\n", + " ax .tick_params (labelcolor='w', top='off', bottom='off', left='off', right='off', labelsize=20)\n", + "\n", + " # Create two subplots, this is the first one\n", + " ax1 = f .add_subplot (121)\n", + " plt .subplots_adjust (wspace=.5)\n", + "\n", + " pos = np .arange (len(wf_ee)+1) \n", + " ax1 .tick_params (axis='both', which='major', labelsize=14)\n", + " pylab .yticks (pos, [ x [0] for x in wf_ee ])\n", + " ax1 .barh (range(len(wf_ee)), [ x [1] for x in wf_ee ], align='center')\n", + "\n", + " ax2 = f .add_subplot (122)\n", + " ax2 .tick_params (axis='both', which='major', labelsize=14)\n", + " pos = np .arange (len(wf_bu)+1) \n", + " pylab .yticks (pos, [ x [0] for x in wf_bu ])\n", + " ax2 .barh (range (len(wf_bu)), [ x [1] for x in wf_bu ], align='center')\n", + "\n", + "plotTwoLists (wf_ee, wf_bu, 'Difference between Pride and Prejudice and Huck Finn')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "and\t2836\n", + "of\t2676\n", + "to\t2646\n", + "a\t2217\n", + "in\t1422\n", + "his\t1205\n", + "he\t928\n", + "that\t920\n", + "was\t823\n", + "for\t798\n", + "with\t797\n", + "as\t672\n", + "I\t505\n", + "you\t497\n" + ] + } + ], + "source": [ + "#In case Project gutenberg is blocked you can download text to your laptop and copy to the docker container via scp\n", + "#Assuming the file name you copy is pg4680.txt here is how you change the script\n", + "# Please note the option errors='replace'\n", + "# without it python invariably runs into unicode errors\n", + "f = open ('pg4680.txt', 'r', encoding=\"ascii\", errors='replace')\n", + " \n", + "# What comes back includes headers and other HTTP stuff, get just the body of the response\n", + "t = f.read()\n", + "\n", + "# obtain words by splitting a string using as separator one or more (+) space/like characters (\\s) \n", + "wds = re.split('\\s+',t)\n", + "\n", + "# now populate a dictionary (wf)\n", + "wf = {}\n", + "for w in wds:\n", + " if w in wf: wf [w] = wf [w] + 1\n", + " else: wf [w] = 1\n", + "\n", + "# dictionaries can not be sorted, so lets get a sorted *list* \n", + "wfs = sorted (wf .items(), key = operator .itemgetter (1), reverse=True) \n", + "\n", + "# lets just have no more than 15 words \n", + "ml = min(len(wfs),15)\n", + "for i in range(1,ml,1):\n", + " print (wfs[i][0]+\"\\t\"+str(wfs[i][1])) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Assignment 1\n", + "\n", + "1. Compare word frequencies between two works of a single author.\n", + "1. Compare word frequencies between works of two authors.\n", + "1. Are there some words preferred by one author but used less frequently by another author?\n", + "\n", + "Extra credit\n", + "\n", + "1. The frequency of a specific word, e.g., \"would\" should follow a binomial distribution (each regular word in a document is a trial and with probability p that word is \"would\". The estimate for p is N(\"would\")/N(regular word)). Do these binomial distributions for your chosen word differ significantly between books of the same author or between authors? \n", + "\n", + "Project Gutenberg is a good source of for fiction and non-fiction.\n", + "\n", + "E.g below are two most popular books from Project Gutenberg:\n", + "- Pride and Prejudice at http://www.gutenberg.org/ebooks/1342.txt.utf-8\n", + "- Adventures of Huckleberry Finn at http://www.gutenberg.org/ebooks/76.txt.utf-8" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import requests, re, nltk\n", + "#In case your text is not on Project Gutenberg but at some other URL\n", + "#http://www.fullbooks.com/Our-World-or-The-Slaveholders-Daughter2.html\n", + "# that contains 12 parts\n", + "t = \"\"\n", + "for i in range(2,13):\n", + " r = requests .get('http://www.fullbooks.com/Our-World-or-The-Slaveholders-Daughter' + str(i) + '.html')\n", + " t = t + r.text" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1323653" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(t)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} From e9af39bc6d758d241177f11b6aa4ad336b2828b5 Mon Sep 17 00:00:00 2001 From: tneuefei Date: Tue, 13 Sep 2022 20:46:29 +0000 Subject: [PATCH 2/3] success with two works by the same author --- tneuefei.ipynb | 78 ++++++++++++++++++++++++++++---------------------- 1 file changed, 43 insertions(+), 35 deletions(-) diff --git a/tneuefei.ipynb b/tneuefei.ipynb index 59b489b..e0d215e 100644 --- a/tneuefei.ipynb +++ b/tneuefei.ipynb @@ -48,20 +48,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "class=\"menu-item\t54\n", - "\t38\n", - "\t35\n", - "
  • \t28\n", - "\t21\n", - "\t21\n" + "\t1\n", + "\t1\n", + "403\t1\n", + "Forbidden\t1\n", + "\t1\n", + "

    Forbidden

    \t1\n", + "

    You\t1\n", + "don't\t1\n", + "have\t1\n", + "permission\t1\n", + "to\t1\n" ] } ], @@ -107,10 +107,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": true - }, + "execution_count": 22, + "metadata": {}, "outputs": [], "source": [ "import requests, re, nltk\n", @@ -122,7 +120,7 @@ "# we may not care about the usage of stop words\n", "stop_words = nltk.corpus.stopwords.words('english') + [\n", " 'ut', '\\'re','.', ',', '--', '\\'s', '?', ')', '(', ':', '\\'',\n", - " '\\\"', '-', '}', '{', '&', '|', u'\\u2014' ]\n", + " '\\\"', '-', '}', '{', '&', '|', u'\\u2014' ]\n", "\n", "# We most likely would like to remove html markup\n", "def cleanHtml (html):\n", @@ -178,21 +176,30 @@ " #Reverse the list because barh plots items from the bottom\n", " return (wfs [ 0:ml ] [::-1], tw)\n", " \n", - "# Now populate two lists \n", - "(wf_ee, tw_ee) = get_wf('http://www.gutenberg.org/ebooks/1342.txt.utf-8')\n", - "(wf_bu, tw_bu) = get_wf('http://www.gutenberg.org/ebooks/76.txt.utf-8')" + "# Now populate three lists with the three different books\n", + "#(wf_ee, tw_ee) = get_wf('https://www.gutenberg.org/ebooks/5200')\n", + "#(wf_bu, tw_bu) = get_wf('https://www.gutenberg.org/ebooks/174')\n", + "\n", + "#http://www.gutenberg.org/ebooks/1342.txt.utf-8')\n", + "#(wf_bu, tw_bu) = get_wf('http://www.gutenberg.org/ebooks/76.txt.utf-8')\n", + "\n", + "\n", + "\n", + "(MM_wf, MM_tw) = get_wf('https://www.gutenberg.org/files/5200/5200-0.txt')\n", + "(TT_wf, TT_tw) = get_wf('https://www.gutenberg.org/cache/epub/7849/pg7849.txt')\n", + "#(DG_wf, DG_tw) = get_wf('https://www.gutenberg.org/files/174/174-h/174-h.htm')" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "image/png": 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AOHwz8mL809Q/Bz6PY9nT8X0hFwDrwl6XOOdKgEuAjvgnsR8N1rUjSj5j8A8C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\nCF5HRCRWvP322zRq1IiDBw8CsGHDBsyMm2++uSTNPffcw0UXXQTAmjV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\n", 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    " ] }, "metadata": {}, @@ -206,7 +213,7 @@ "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline\n", - "def plotTwoLists (wf_ee, wf_bu, title):\n", + "def plotTwoLists (MM_wf, TT_wf, title):\n", " f = plt.figure (figsize=(10, 6))\n", " # this is painfully tedious....\n", " f .suptitle (title, fontsize=20)\n", @@ -221,18 +228,19 @@ " ax1 = f .add_subplot (121)\n", " plt .subplots_adjust (wspace=.5)\n", "\n", - " pos = np .arange (len(wf_ee)+1) \n", + " pos = np .arange (len(MM_wf)) \n", " ax1 .tick_params (axis='both', which='major', labelsize=14)\n", - " pylab .yticks (pos, [ x [0] for x in wf_ee ])\n", - " ax1 .barh (range(len(wf_ee)), [ x [1] for x in wf_ee ], align='center')\n", + " pylab .yticks (pos, [ x [0] for x in MM_wf ])\n", + " ax1 .barh (range(len(MM_wf)), [ x [1] for x in MM_wf ], align='center')\n", "\n", " ax2 = f .add_subplot (122)\n", " ax2 .tick_params (axis='both', which='major', labelsize=14)\n", - " pos = np .arange (len(wf_bu)+1) \n", - " pylab .yticks (pos, [ x [0] for x in wf_bu ])\n", - " ax2 .barh (range (len(wf_bu)), [ x [1] for x in wf_bu ], align='center')\n", + " pos = np .arange (len(TT_wf)) \n", + " pylab .yticks (pos, [ x [0] for x in TT_wf ])\n", + " ax2 .barh (range (len(TT_wf)), [ x [1] for x in TT_wf ], align='center')\n", "\n", - "plotTwoLists (wf_ee, wf_bu, 'Difference between Pride and Prejudice and Huck Finn')" + "plotTwoLists (MM_wf, TT_wf, 'Difference between Metamorphosis and The Trial, both by Franz Kafka')\n", + "#plotTwoLists ()" ] }, { @@ -360,7 +368,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -374,7 +382,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.2" + "version": "3.8.10" } }, "nbformat": 4, From d9020492f717848cdfb149ab4e2f6385cf2fadbc Mon Sep 17 00:00:00 2001 From: tneuefei Date: Tue, 13 Sep 2022 21:06:44 +0000 Subject: [PATCH 3/3] success with works between authors, answered question 3 --- tneuefei.ipynb | 152 ++++++++++++++++++++++++++++++++++--------------- 1 file changed, 105 insertions(+), 47 deletions(-) diff --git a/tneuefei.ipynb b/tneuefei.ipynb index e0d215e..d376388 100644 --- a/tneuefei.ipynb +++ b/tneuefei.ipynb @@ -107,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -175,24 +175,12 @@ "\n", " #Reverse the list because barh plots items from the bottom\n", " return (wfs [ 0:ml ] [::-1], tw)\n", - " \n", - "# Now populate three lists with the three different books\n", - "#(wf_ee, tw_ee) = get_wf('https://www.gutenberg.org/ebooks/5200')\n", - "#(wf_bu, tw_bu) = get_wf('https://www.gutenberg.org/ebooks/174')\n", - "\n", - "#http://www.gutenberg.org/ebooks/1342.txt.utf-8')\n", - "#(wf_bu, tw_bu) = get_wf('http://www.gutenberg.org/ebooks/76.txt.utf-8')\n", - "\n", - "\n", - "\n", - "(MM_wf, MM_tw) = get_wf('https://www.gutenberg.org/files/5200/5200-0.txt')\n", - "(TT_wf, TT_tw) = get_wf('https://www.gutenberg.org/cache/epub/7849/pg7849.txt')\n", - "#(DG_wf, DG_tw) = get_wf('https://www.gutenberg.org/files/174/174-h/174-h.htm')" + " \n" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -204,6 +192,16 @@ }, "metadata": {}, "output_type": "display_data" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -238,37 +236,14 @@ " pos = np .arange (len(TT_wf)) \n", " pylab .yticks (pos, [ x [0] for x in TT_wf ])\n", " ax2 .barh (range (len(TT_wf)), [ x [1] for x in TT_wf ], align='center')\n", - "\n", - "plotTwoLists (MM_wf, TT_wf, 'Difference between Metamorphosis and The Trial, both by Franz Kafka')\n", - "#plotTwoLists ()" + "\n" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "and\t2836\n", - "of\t2676\n", - "to\t2646\n", - "a\t2217\n", - "in\t1422\n", - "his\t1205\n", - "he\t928\n", - "that\t920\n", - "was\t823\n", - "for\t798\n", - "with\t797\n", - "as\t672\n", - "I\t505\n", - "you\t497\n" - ] - } - ], + "outputs": [], "source": [ "#In case Project gutenberg is blocked you can download text to your laptop and copy to the docker container via scp\n", "#Assuming the file name you copy is pg4680.txt here is how you change the script\n", @@ -356,14 +331,97 @@ "len(t)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Part 1, two works by the same author:" + ] + }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], - "source": [] + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import pylab\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline\n", + "\n", + "# Populate two lists with books by Franz Kafka\n", + "(MM_wf, MM_tw) = get_wf('https://www.gutenberg.org/files/5200/5200-0.txt')\n", + "(TT_wf, TT_tw) = get_wf('https://www.gutenberg.org/cache/epub/7849/pg7849.txt')\n", + "\n", + "\n", + "#Plot the results: are there striking differences in language?\n", + "\n", + "plotTwoLists (MM_wf, TT_wf, 'Difference between Metamorphosis and The Trial, both by Franz Kafka')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Part 2, Two works by different authors:" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import pylab\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline\n", + "\n", + "# Create the last list from The Picture of Dorian Gray\n", + "(DG_wf, DG_tw) = get_wf('https://www.gutenberg.org/files/174/174-h/174-h.htm')\n", + "\n", + "\n", + "#Plot the results: are there striking differences in language?\n", + "\n", + "plotTwoLists (MM_wf, DG_wf, 'Difference between two authors')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Part 3, are there striking differences between the authors?\n", + "\n", + "The most obvious takeaway between the two authors is looking at the names of the main characters: The main character in Metamorphosis (on the left) is gregor. He is the most frequent word in the work. Similarly, dorian is the second most common occurence in The Picture of Dorian Gray.\n", + "\n", + "More interestingly, you could begin to pick up on the themes of the works by looking at these words. For example, Metamorphosis is concerned with familial guilt. Words like \"father\", \"mother\", and \"sister\" all appear in the top 15 most frequent. Similarly The Picture of Dorian Gray is about vanity and achieving eternal life. The word \"life\" is the 9th most frequent word in the work.\n", + "\n", + "Also important to note, there are limits to this kind of text analysis. We can't really tell when the works were created, or really get more than a cursory understanding of what the works are about." + ] } ], "metadata": {