Another renumbering, so that all concurrent styles are bundled together

This commit is contained in:
Crista Lopes
2013-12-27 15:41:39 -08:00
parent de06b9b09c
commit 750016ac52
39 changed files with 0 additions and 72 deletions

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Style #21
==============================
Constraints:
- Every single procedure and function checks the sanity of its
arguments and either returns something sensible when the arguments
are unreasonable or assigns them reasonable values
- All code blocks check for possible errors and escape the block
when things go wrong, setting the state to something reasonable
Possible names:
- Constructive
- Defensive
- Hopeful
- Shit happens, life goes on
(See http://en.wikipedia.org/wiki/Constructivism_(mathematics))

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#!/usr/bin/env python
import sys, re, operator, string, inspect
#
# The functions
#
def extract_words(path_to_file):
if type(path_to_file) is not str or not path_to_file:
return []
try:
with open(path_to_file) as f:
str_data = f.read()
except IOError as e:
print "I/O error({0}) when opening {1}: {2}".format(e.errno, path_to_file, e.strerror)
return []
pattern = re.compile('[\W_]+')
word_list = pattern.sub(' ', str_data).lower().split()
return word_list
def remove_stop_words(word_list):
if type(word_list) is not list:
return []
try:
with open('../stop_words.txt') as f:
stop_words = f.read().split(',')
except IOError as e:
print "I/O error({0}) when opening ../stops_words.txt: {1}".format(e.errno, e.strerror)
return word_list
stop_words.extend(list(string.ascii_lowercase))
return [w for w in word_list if not w in stop_words]
def frequencies(word_list):
if type(word_list) is not list or word_list == []:
return {}
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_freq):
if type(word_freq) is not dict or word_freq == {}:
return []
return sorted(word_freq.iteritems(), key=operator.itemgetter(1), reverse=True)
#
# The main function
#
filename = sys.argv[1] if len(sys.argv) > 1 else "../input.txt"
word_freqs = sort(frequencies(remove_stop_words(extract_words(filename))))
for tf in word_freqs[0:25]:
print tf[0], ' - ', tf[1]