def drive():
#def main(f):
# Calculate important words - returns array of important words
#important = important_words.wordlist_string(text_input, 10)
# Get sentences with words
# INPUT VERSION
# f = sys.stdin.readline()
# FILE IO VERSION
# print f
f = open('practice2.txt').read()
important_word = important_words.wordlist_string(f,10)
print (important_word)
important_sentences, counts = sent_parser.parse_sent(f, important_word)
print (important_sentences)
offsets = haiku_algorithm.find_haiku(counts)
lines = find_lines.get_lines(offsets, important_sentences, important_word)
for i in lines:
if len(i)==0:
print ('None')
#return None
output = ''
for i in lines:
line = ' '.join([str(x) for x in i])
output += line + '\n'
print (output)
return output
def drive():
#def main(f):
# Calculate important words - returns array of important words
#important = important_words.wordlist_string(text_input, 10)
# Get sentences with words
# INPUT VERSION
# f = sys.stdin.readline()
# FILE IO VERSION
# print f
f = open('practice2.txt').read()
important_word = important_words.wordlist_string(f, 10)
print(important_word)
important_sentences, counts = sent_parser.parse_sent(f, important_word)
print(important_sentences)
offsets = haiku_algorithm.find_haiku(counts)
lines = find_lines.get_lines(offsets, important_sentences, important_word)
for i in lines:
if len(i) == 0:
print('None')
#return None
output = ''
for i in lines:
line = ' '.join([str(x) for x in i])
output += line + '\n'
print(output)
return output
def drive():
#def main(f):
# Calculate important words - returns array of important words
#important = important_words.wordlist_string(text_input, 10)
# Get sentences with words
# INPUT VERSION
f = sys.stdin.readline()
if len(f) < 5:
print('')
return None
important_word = important_words.wordlist_string(f, 10)
# Remove NoneType from list
important_word = [x for x in important_word if x is not None]
important_sentences, counts = sent_parser.parse_sent(f, important_word)
if important_sentences == "ERROR":
print('')
return None
offsets = haiku_algorithm.find_haiku(counts)
lines = find_lines.get_lines(offsets, important_sentences, important_word)
for i in lines:
if len(i) == 0:
print('')
return None
output = ''
for i in lines:
line = ' '.join([str(x) for x in i])
output += line + ' * '
print(output)
return output
def main():
print_me = important_words.wordlist_string(
"try this string of words try this string of important cat words however content president politicians are actually kind of important this is shit and it had better work",
5)
print print_me
sentence = "72 This is my test sentence"
s = sentence.split(' ')
print s
arrayct = syllabify.count_syllables(s)
print arrayct
sentence = "This is my test sentence"
s = sentence.split(' ')
print s
arrayct = syllabify.count_syllables(s)
print arrayct
def drive():
#def main(f):
# Calculate important words - returns array of important words
f = open('practice2.txt').read()
important_word = important_words.wordlist_string(f,10)
print important_word
# Remove NoneType from list
important_word = [x for x in important_word if x is not None]
print important_word
important_sentences, counts = sent_parser.parse_sent(f, important_word)
if important_sentences == "ERROR":
print ('None')
print (important_sentences)
offsets = haiku_algorithm.find_haiku(counts)
lines = find_lines.get_lines(offsets, important_sentences, important_word)
for i in lines:
if len(i)==0:
print ('None')
#return None
output = ''
for i in lines:
line = ' '.join([str(x) for x in i])
output += line + '\n'
print (output)
return output
