86 lines
2.4 KiB
Python
86 lines
2.4 KiB
Python
#!/usr/bin/env python
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import sys, re, operator, string
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#
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# The PassiveAggressive class for this example
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#
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class TFPassiveAggressive:
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def __init__(self, v):
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self._e = None
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self._offending_func = None
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self._value = v
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def bind(self, func):
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if self._e == None:
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try:
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self._value = func(self._value)
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except Exception as e:
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self._e = e
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self._offending_func = func
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return self
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def printme(self):
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if self._e == None:
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print self._value
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else:
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print self._e, " in ", self._offending_func.__name__
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#
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# The functions
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#
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def get_input(arg):
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assert(len(sys.argv) > 1), "You idiot! I need an input file! I quit!"
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return sys.argv[1]
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def extract_words(path_to_file):
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assert(type(path_to_file) is str), "I need a string! I quit!"
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assert(path_to_file), "I need a non-empty string! I quit!"
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with open(path_to_file) as f:
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data = f.read()
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pattern = re.compile('[\W_]+')
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word_list = pattern.sub(' ', data).lower().split()
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return word_list
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def remove_stop_words(word_list):
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assert(type(word_list) is list), "I need a list! I quit!"
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with open('../stop_words.txt') as f:
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stop_words = f.read().split(',')
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# add single-letter words
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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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def frequencies(word_list):
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assert(type(word_list) is list), "I need a list! I quit!"
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assert(word_list <> []), "I need a non-empty list! I quit!"
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word_freqs = {}
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for w in word_list:
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if w in word_freqs:
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word_freqs[w] += 1
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else:
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word_freqs[w] = 1
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return word_freqs
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def sort(word_freqs):
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assert(type(word_freqs) is dict), "I need a dictionary! I quit!"
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assert(word_freqs <> {}), "I need a non-empty dictionary! I quit!"
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return sorted(word_freqs.iteritems(), key=operator.itemgetter(1), reverse=True)
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def top25_freqs(word_freqs):
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assert(type(word_freqs) is list), "I need a list! I quit!"
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assert(word_freqs <> {}), "I need a non-empty dictionary! I quit!"
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top25 = ""
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for tf in word_freqs[0:25]:
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top25 += str(tf[0]) + ' - ' + str(tf[1]) + '\n'
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return top25
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#
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# The main function
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#
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TFPassiveAggressive(None).bind(get_input).bind(extract_words).bind(remove_stop_words).bind(frequencies).bind(sort).bind(top25_freqs).printme()
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