50 lines
1.3 KiB
Python
Executable File
50 lines
1.3 KiB
Python
Executable File
#!/usr/bin/env python
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import sys, re, operator, string, time
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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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with open(path_to_file) as f:
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str_data = f.read()
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pattern = re.compile('[\W_]+')
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word_list = pattern.sub(' ', str_data).lower().split()
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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.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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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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# The side functionality
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def profile(f):
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def profilewrapper(*arg, **kw):
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start_time = time.time()
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ret_value = f(*arg, **kw)
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elapsed = time.time() - start_time
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print "%s(...) took %s secs" % (f.__name__, elapsed)
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return ret_value
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return profilewrapper
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# join points
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tracked_functions = [extract_words, frequencies, sort]
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# weaver
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for func in tracked_functions:
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globals()[func.func_name]=profile(func)
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word_freqs = sort(frequencies(extract_words(sys.argv[1])))
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for (w, c) in word_freqs[0:25]:
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print w, ' - ', c
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