def main():
# text = read_textfile("sample_text.txt")
txt_list = convert_to_list("sample_text.txt")
markov_chain = Markov(txt_list, 2)
markov_chain.initiate_markov(txt_list)
print(markov_chain.generate_sentence(15))
return markov_chain
def main():
'''This program reads in a histogram and returns a random word'''
#read in text file, store as list
txt = read_textfile("short_story.txt")
txt_list = convert_to_list(txt)
#create histogram based on list
my_histogram = histogram(txt_list)
test_randomness(my_histogram)
test_weighted_randomness(my_histogram)
def countslopes():
countslopesfile = open('countslopes.txt', 'w', encoding="utf-8")
files = os.listdir('results/slopes/counts/')
for filename in files:
if filename != '.DS_Store' and filename != '.gitignore':
with io.open('results/slopes/counts/' + filename, 'r') as f:
lines = f.readlines()
countslopes = convert_to_list(lines)
revall = countslopes[0]
rev60 = countslopes[1]
rev120 = countslopes[2]
# print(countslopes)
dictdiff60 = dictdiff(rev60, revall)
dictdiff120 = dictdiff(rev120, revall)
countslopesfile.write(filename[:-4] + '\n')
countslopesfile.write(str(dictdiff60) + '\n')
countslopesfile.write(str(dictdiff120) + '\n')
# print(dictdiff(rev60, revall))
# print(dictdiff(rev120, revall))
countslopesfile.close()
def main():
'''Return random word from histogram'''
txt = read_textfile("sample_text.txt")
txt_list = convert_to_list(txt)
histogram1 = histogram(txt_list)