Files
exercises-in-programming-style/04-candy-factory/tf-04.py
Bruce Adams 5749c2c50f Enhance testing: run all executables
Add a #! line at the beginning of each of the existing Python programs
and change these files to be executable. This sets the stage for having
the test script blindly run anything that is executable, adding support
for testing many programming languages.
2013-09-24 22:09:30 -04:00

81 lines
1.8 KiB
Python
Executable File

#!/usr/bin/env python
import sys, re, operator, string
#
# The functions
#
def read_file(path_to_file):
"""
Takes a path to a file and returns the entire
contents of the file as a string
"""
f = open(path_to_file)
data = f.read()
f.close()
return data
def filter_chars(str_data):
"""
Takes a string and returns a copy with all nonalphanumeric
chars replaced by white space
"""
pattern = re.compile('[\W_]+')
return pattern.sub(' ', str_data)
def normalize(str_data):
"""
Takes a string and returns a copy with all chars in lower case
"""
return str_data.lower()
def scan(str_data):
"""
Takes a string and scans for words, returning
a list of words.
"""
return str_data.split()
def remove_stop_words(word_list):
"""
Takes a list of words and returns a copy with all stop
words removed
"""
f = open('../stop_words.txt')
stop_words = f.read().split(',')
f.close()
# 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):
"""
Takes a list of words and returns a dictionary associating
words with frequencies of occurrence
"""
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):
"""
Takes a dictionary of words and their frequencies
and returns a list of pairs where the entries are
sorted by frequency
"""
return sorted(word_freq.iteritems(), key=operator.itemgetter(1), reverse=True)
#
# The main function
#
word_freqs = sort(frequencies(remove_stop_words(scan(normalize(filter_chars(read_file(sys.argv[1])))))))
for tf in word_freqs[0:25]:
print tf[0], ' - ', tf[1]