79 lines
1.7 KiB
Python
79 lines
1.7 KiB
Python
#!/usr/bin/env python
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import sys, re, operator, string
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#
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# The Quarantine class for this example
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#
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class TFQuarantine:
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def __init__(self, func):
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self._funcs = [func]
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def bind(self, func):
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self._funcs.append(func)
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return self
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def execute(self):
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def guard_callable(v):
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return v() if hasattr(v, '__call__') else v
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value = lambda : None
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for func in self._funcs:
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value = func(guard_callable(value))
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print guard_callable(value)
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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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def _f():
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return sys.argv[1]
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return _f
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def extract_words(path_to_file):
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def _f():
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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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return _f
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def remove_stop_words(word_list):
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def _f():
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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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return _f
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def frequencies(word_list):
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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_freq):
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return sorted(word_freq.iteritems(), key=operator.itemgetter(1), reverse=True)
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def top25_freqs(word_freqs):
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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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TFQuarantine(get_input)\
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.bind(extract_words)\
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.bind(remove_stop_words)\
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.bind(frequencies)\
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.bind(sort)\
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.bind(top25_freqs)\
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.execute()
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