Another renumbering, so that all concurrent styles are bundled together

24-declared-intentions/README.md

@@ -1,18 +0,0 @@
-Style #24
-==============================
-
-Constraints:
-
-- Existence of a run-time typechecker
-
-- Procedures and functions declare what types of arguments they expect
-
-- If callers send arguments of types that are't expected, the
-  procedures/functions are not executed
-
-
-Possible names:
-
-- declared intentions
-- "You've been warned!"
-

24-declared-intentions/tf-24.py

@@ -1,72 +0,0 @@
-#!/usr/bin/env python
-
-import sys, re, operator, string, inspect
-
-#
-# Decorator for enforcing types of arguments in method calls
-#
-class AcceptTypes():
-    def __init__(self, *args):
-        self._args = args
-
-    def __call__(self, f):
-        def wrapped_f(*args):
-            for i in range(len(self._args)):
-                if type(args[i]) <> self._args[i]:
-                    raise TypeError("Expecting %s got %s" % (str(self._args[i]), str(type(args[i]))))
-
-            return f(*args)
-        return wrapped_f
-#
-# The functions
-#
-@AcceptTypes(str)
-def extract_words(path_to_file):
-    """
-    Takes a path to a file and returns the non-stop
-    words, after properly removing nonalphanumeric chars
-    and normalizing for lower case
-    """
-    with open(path_to_file) as f:
-        str_data = f.read()
-    
-    pattern = re.compile('[\W_]+')
-    word_list = pattern.sub(' ', str_data).lower().split()
-
-    with open('../stop_words.txt') as f:
-        stop_words = f.read().split(',')
-
-    stop_words.extend(list(string.ascii_lowercase))
-    return [w for w in word_list if not w in stop_words]
-
-@AcceptTypes(list)
-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
-
-@AcceptTypes(dict)
-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(extract_words(sys.argv[1])))
-
-for tf in word_freqs[0:25]:
-    print tf[0], ' - ', tf[1]
-