Renumbered styles to flow better
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@@ -1,29 +0,0 @@
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Style #19
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==============================
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Constraints:
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- The problem is decomposed using some form of abstraction
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(procedures, functions, objects, etc.)
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- All or some of those abstractions are physically encapsulated into
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their own, usually pre-compiled, packages. Main program and each of
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the packages are compiled independently. These packages are loaded
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dynamically by the main program, usually in the beginning (but not
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necessarily).
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- Main program uses functions/objects from the dynamically-loaded
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packages, without knowing which exact implementations will be
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used. New implementations can be used without having to adapt or
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recompile the main program.
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- External specification of which packages to load. This can be done
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by a configuration file, path conventions, user input or other
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mechanisms for external specification of code to be linked at run
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time.
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Possible names:
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- No commitment
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- Plugins
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- Why one when we can have many?
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@@ -1,5 +0,0 @@
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[Plugins]
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;; Valid options: plugins/words1.pyc, plugins/words2.pyc
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words = plugins/words1.pyc
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;; Valid options: plugins/frequencies1.pyc, plugins/frequencies2.pyc
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frequencies = plugins/frequencies1.pyc
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@@ -1,2 +0,0 @@
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python -m compileall .
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cp *.pyc ../plugins
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@@ -1,18 +0,0 @@
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import operator
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def top25(word_list):
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"""
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Takes a list of words and returns a dictionary associating
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words with frequencies of occurrence
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"""
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if type(word_list) is not list or word_list == []:
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return {}
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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 sorted(word_freqs.iteritems(), key=operator.itemgetter(1), reverse=True)[:25]
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@@ -1,10 +0,0 @@
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import operator, collections
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def top25(word_list):
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"""
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Takes a list of words and returns a dictionary associating
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words with frequencies of occurrence
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"""
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counts = collections.Counter(w for w in word_list)
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return counts.most_common(25)
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@@ -1,31 +0,0 @@
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import sys, re, string
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def extract_words(path_to_file):
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"""
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Takes a path to a file and returns the non-stop
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words, after properly removing nonalphanumeric chars
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and normalizing for lower case
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"""
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if type(path_to_file) is not str or not path_to_file:
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return []
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try:
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with open(path_to_file) as f:
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str_data = f.read()
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except IOError as e:
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print "I/O error({0}) when opening {1}: {2}".format(e.errno, path_to_file, e.strerror)
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return []
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pattern = re.compile('[\W_]+')
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word_list = pattern.sub(' ', str_data).lower().split()
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try:
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with open('../stop_words.txt') as f:
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stop_words = f.read().split(',')
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except IOError as e:
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print "I/O error({0}) when opening ../stops_words.txt: {1}".format(e.errno, e.strerror)
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return []
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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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@@ -1,12 +0,0 @@
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import sys, re, string
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def extract_words(path_to_file):
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"""
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Takes a path to a file and returns the non-stop
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words, after properly removing nonalphanumeric chars
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and normalizing for lower case
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"""
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words = re.findall('[a-z]{2,}', open(path_to_file).read().lower())
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stopwords = set(open('../stop_words.txt').read().split(','))
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return [w for w in words if w not in stopwords]
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@@ -1,23 +0,0 @@
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#!/usr/bin/env python
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import sys, ConfigParser, imp
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def load_plugins():
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config = ConfigParser.ConfigParser()
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config.read("config.ini")
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words_plugin = config.get("Plugins", "words")
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frequencies_plugin = config.get("Plugins", "frequencies")
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global tfwords, tffreqs
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tfwords = imp.load_compiled('tfwords', words_plugin)
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tffreqs = imp.load_compiled('tffreqs', frequencies_plugin)
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#
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# The main function
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#
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load_plugins()
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word_freqs = tffreqs.top25(tfwords.extract_words(sys.argv[1]))
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for tf in word_freqs:
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print tf[0], ' - ', tf[1]
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