def anonymous_letter(L, M):
"""Takes 2 strings as input, L and M. Returns True if L can be made from words in M, False if it cannot. Case insensitive and punctuation insensitive."""
L = make_all_lowercase(strip_punctuation(L)) # clean them up
M = make_all_lowercase(strip_punctuation(M))
L_words = find_word_frequencies(L)
M_words = find_word_frequencies(M)
if set(L_words.keys()).issubset(set(
M_words.keys())): # test if all words in L are in M
pass
else:
return False
print L_words.items()
for word in L_words.keys(
): # test if all frequencies of words in L are <= frequencies of words in M
print word, L_words[word], M_words[word]
if L_words[word] <= M_words[word]:
print "Yay!"
else:
print "No!"
return False
return True
def find_word_frequencies(string): # modified frequent_words
"""Takes input as a string, returns dict of all words, made lowercase,
and their frequencies. Case insensitive. Input will be stripped
of common punctuation."""
word_frequencies = {}
string = make_all_lowercase(strip_punctuation(string)) # clean up string
words = string.split()
for word in words:
if word_frequencies.get(word) == None:
word_frequencies[word] = 1
else:
word_frequencies[word] += 1
return word_frequencies
def anonymous_letter_files(L_file, M_file):
"""Takes 2 filenames as input, which contain text. Returns True if the text
in L can be made from words in M, False if it cannot. Case insensitive and
punctuation insensitive."""
L_words = find_word_frequencies(
make_all_lowercase(strip_punctuation(open(L_file).read())))
M_words = find_word_frequencies(
make_all_lowercase(strip_punctuation(open(M_file).read())))
# test if all words in L are in M
if set(L_words.keys()).issubset(set(M_words.keys())):
pass
else:
return False
# test if all frequencies of words in L are <= frequencies of words in M
for word in L_words.keys():
print word, L_words[word], M_words[word]
if L_words[word] <= M_words[word]:
pass
else:
return False
return True