#!/usr/bin/env python import sys, re, operator, string # # The PassiveAggressive class for this example # class TFPassiveAggressive: def __init__(self, v): self._e = None self._offending_func = None self._value = v def bind(self, func): if self._e == None: try: self._value = func(self._value) except Exception as e: self._e = e self._offending_func = func return self def printme(self): if self._e == None: print self._value else: print self._e, " in ", self._offending_func.__name__ # # The functions # def get_input(arg): assert(len(sys.argv) > 1), "You idiot! I need an input file! I quit!" return sys.argv[1] def extract_words(path_to_file): assert(type(path_to_file) is str), "I need a string! I quit!" assert(path_to_file), "I need a non-empty string! I quit!" with open(path_to_file) as f: data = f.read() pattern = re.compile('[\W_]+') word_list = pattern.sub(' ', data).lower().split() return word_list def remove_stop_words(word_list): assert(type(word_list) is list), "I need a list! I quit!" with open('../stop_words.txt') as f: stop_words = f.read().split(',') # add single-letter words stop_words.extend(list(string.ascii_lowercase)) return [w for w in word_list if not w in stop_words] def frequencies(word_list): assert(type(word_list) is list), "I need a list! I quit!" assert(word_list <> []), "I need a non-empty list! I quit!" word_freqs = {} for w in word_list: if w in word_freqs: word_freqs[w] += 1 else: word_freqs[w] = 1 return word_freqs def sort(word_freqs): assert(type(word_freqs) is dict), "I need a dictionary! I quit!" assert(word_freqs <> {}), "I need a non-empty dictionary! I quit!" return sorted(word_freqs.iteritems(), key=operator.itemgetter(1), reverse=True) def top25_freqs(word_freqs): assert(type(word_freqs) is list), "I need a list! I quit!" assert(word_freqs <> {}), "I need a non-empty dictionary! I quit!" top25 = "" for tf in word_freqs[0:25]: top25 += str(tf[0]) + ' - ' + str(tf[1]) + '\n' return top25 # # The main function # TFPassiveAggressive(None).bind(get_input).bind(extract_words).bind(remove_stop_words).bind(frequencies).bind(sort).bind(top25_freqs).printme()