Added style #9
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09-kinds-of-things/README.md
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09-kinds-of-things/README.md
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Style #9
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==============================
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Constraints:
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- The larger problem is decomposed into types of 'things' that make
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sense for the problem domain
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- Each type of thing is described by what operations the things of
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that type can eventually do
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- Concrete things are then bound, somehow, to the types; mechanisms
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for doing that vary
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- The rest of the application uses the things not by what they are but
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by their types
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Possible names:
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- Types of things
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- Abstract data types
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120
09-kinds-of-things/tf-09.py
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120
09-kinds-of-things/tf-09.py
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import abc, sys, re, operator, string
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#
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# The abstract data types
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#
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class IDataStorage (object):
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""" Models the contents of the file """
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__metaclass__ = abc.ABCMeta
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@abc.abstractmethod
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def words(self):
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""" Returns the words in storage """
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raise NotImplementedError("Abstract Data Type")
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class IStopWordFilter (object):
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""" Models the stop word filter """
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__metaclass__ = abc.ABCMeta
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@abc.abstractmethod
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def is_stop_word(self, word):
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""" Checks whether the given word is a stop word """
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raise NotImplementedError("Abstract Data Type")
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class IWordFrequencyCounter(object):
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""" Keeps the word frequency data """
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__metaclass__ = abc.ABCMeta
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@abc.abstractmethod
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def increment_count(self, word):
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""" Increments the count for the given word """
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raise NotImplementedError("Abstract Data Type")
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@abc.abstractmethod
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def sorted(self):
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""" Returns the words and their frequencies, sorted by frequency"""
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raise NotImplementedError("Abstract Data Type")
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#
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# The concrete type implementations
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#
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class DataStorage:
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""" Implements the contents of the file """
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_data = ''
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def __init__(self, path_to_file):
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f = open(path_to_file)
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self._data = f.read()
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f.close()
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self.__filter_chars_normalize()
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self.__scan()
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def __filter_chars_normalize(self):
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"""
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Takes a string and returns a copy with all nonalphanumeric chars
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replaced by white space
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"""
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pattern = re.compile('[\W_]+')
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self._data = pattern.sub(' ', self._data).lower()
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def __scan(self):
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self._data = ''.join(self._data).split()
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def words(self):
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"""
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Returns the list words in storage
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"""
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return self._data
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class StopWordFilter:
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""" Implements the stop word filter """
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_stop_words = []
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def __init__(self):
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f = open('../stop_words.txt')
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self._stop_words = f.read().split(',')
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f.close()
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# add single-letter words
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self._stop_words.extend(list(string.ascii_lowercase))
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def is_stop_word(self, word):
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return word in self._stop_words
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class WordFrequencyCounter:
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""" Implements the word frequency data """
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_word_freqs = {}
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def increment_count(self, word):
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if word in self._word_freqs:
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self._word_freqs[word] += 1
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else:
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self._word_freqs[word] = 1
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def sorted(self):
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return sorted(self._word_freqs.iteritems(), key=operator.itemgetter(1), reverse=True)
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#
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# The wiring between ADTs and concrete implementations
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#
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IDataStorage.register(DataStorage)
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IStopWordFilter.register(StopWordFilter)
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IWordFrequencyCounter.register(WordFrequencyCounter)
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class WordFrequencyApplication:
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def __init__(self, path_to_file):
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self._storage = DataStorage(path_to_file)
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self._stop_word_manager = StopWordFilter()
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self._word_freq_counter = WordFrequencyCounter()
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def run(self):
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for w in self._storage.words():
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if not self._stop_word_manager.is_stop_word(w):
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self._word_freq_counter.increment_count(w)
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word_freqs = self._word_freq_counter.sorted()
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for tf in word_freqs[0:25]:
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print tf[0], ' - ', tf[1]
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#
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# The main function
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#
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WordFrequencyApplication(sys.argv[1]).run()
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