Make constructivist program be similar to the other two.
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@@ -1,16 +1,10 @@
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#!/usr/bin/env python
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import sys, re, operator, string, inspect
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#
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# The functions
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#
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def extract_words(path_to_file):
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"""
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Takes a path to a file and returns the non-stop
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words, after properly removing nonalphanumeric chars
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and normalizing for lower case
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"""
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if type(path_to_file) is not str or not path_to_file:
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return []
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@@ -23,6 +17,11 @@ def extract_words(path_to_file):
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pattern = re.compile('[\W_]+')
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word_list = pattern.sub(' ', str_data).lower().split()
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return word_list
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def remove_stop_words(word_list):
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if type(word_list) is not list:
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return []
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try:
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with open('../stop_words.txt') as f:
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@@ -35,10 +34,6 @@ def extract_words(path_to_file):
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return [w for w in word_list if not w in stop_words]
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def frequencies(word_list):
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"""
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Takes a list of words and returns a dictionary associating
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words with frequencies of occurrence
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"""
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if type(word_list) is not list or word_list == []:
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return {}
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@@ -51,11 +46,6 @@ def frequencies(word_list):
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return word_freqs
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def sort(word_freq):
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"""
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Takes a dictionary of words and their frequencies
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and returns a list of pairs where the entries are
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sorted by frequency
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"""
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if type(word_freq) is not dict or word_freq == {}:
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return []
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@@ -65,7 +55,7 @@ def sort(word_freq):
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# The main function
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#
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filename = sys.argv[1] if len(sys.argv) > 1 else "../input.txt"
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word_freqs = sort(frequencies(extract_words(filename)))
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word_freqs = sort(frequencies(remove_stop_words(extract_words(filename))))
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for tf in word_freqs[0:25]:
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print tf[0], ' - ', tf[1]
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