Minor improvements to candy factory
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@@ -1,5 +1,4 @@
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#!/usr/bin/env python
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#!/usr/bin/env python
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import sys, re, operator, string
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import sys, re, operator, string
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#
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#
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@@ -10,24 +9,17 @@ def read_file(path_to_file):
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Takes a path to a file and returns the entire
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Takes a path to a file and returns the entire
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contents of the file as a string
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contents of the file as a string
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"""
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"""
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f = open(path_to_file)
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with open(path_to_file) as f:
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data = f.read()
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data = f.read()
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f.close()
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return data
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return data
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def filter_chars(str_data):
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def filter_chars_and_normalize(str_data):
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"""
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"""
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Takes a string and returns a copy with all nonalphanumeric
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Takes a string and returns a copy with all nonalphanumeric
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chars replaced by white space
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chars replaced by white space
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"""
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"""
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pattern = re.compile('[\W_]+')
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pattern = re.compile('[\W_]+')
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return pattern.sub(' ', str_data)
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return pattern.sub(' ', str_data).lower()
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def normalize(str_data):
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"""
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Takes a string and returns a copy with all chars in lower case
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"""
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return str_data.lower()
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def scan(str_data):
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def scan(str_data):
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"""
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"""
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@@ -41,9 +33,8 @@ def remove_stop_words(word_list):
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Takes a list of words and returns a copy with all stop
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Takes a list of words and returns a copy with all stop
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words removed
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words removed
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"""
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"""
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f = open('../stop_words.txt')
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with open('../stop_words.txt') as f:
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stop_words = f.read().split(',')
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stop_words = f.read().split(',')
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f.close()
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# add single-letter words
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# add single-letter words
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stop_words.extend(list(string.ascii_lowercase))
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stop_words.extend(list(string.ascii_lowercase))
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return [w for w in word_list if not w in stop_words]
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return [w for w in word_list if not w in stop_words]
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@@ -69,11 +60,10 @@ def sort(word_freq):
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"""
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"""
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return sorted(word_freq.iteritems(), key=operator.itemgetter(1), reverse=True)
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return sorted(word_freq.iteritems(), key=operator.itemgetter(1), reverse=True)
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#
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#
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# The main function
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# The main function
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#
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#
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word_freqs = sort(frequencies(remove_stop_words(scan(normalize(filter_chars(read_file(sys.argv[1])))))))
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word_freqs = sort(frequencies(remove_stop_words(scan(filter_chars_and_normalize(read_file(sys.argv[1]))))))
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for tf in word_freqs[0:25]:
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for tf in word_freqs[0:25]:
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print tf[0], ' - ', tf[1]
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print tf[0], ' - ', tf[1]
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