def test_markov_with_higher_level(size=100, file_name="sample1.txt", level=2):
mark = markov.train_model_higher(
level, normalize(os.getcwd() + "\\samples\\" + file_name))
text = markov.generate_sentence(size, mark)
save_text(text)
save_long_file(text, file_name)
print(text)
def test_markov(size=100, file_name="sample1.txt"):
mark = markov.train_model(
normalize(os.getcwd() + "\\samples\\" + file_name))
text = markov.generate_sentence(size, mark)
save_text(text)
save_long_file(text, file_name)
print(text)
def gen_post():
# email = emails[random.randint(0, len(emails) - 1)]
n = 1000
COUNTY = False
CITY = False
for i in range(n):
if i > (n / 3):
COUNTY = True
if i > (2 * n / 3):
CITY = True
user_id = random.randint(0, 1000)
title = mk.generate_sentence(1)
content = mk.generate_sentence(random.randint(2, 5))
state = random.randint(1, 51)
if CITY:
loc = gen_locations("CITY", state)
loc = loc[random.randint(0, len(loc) - 1)]
state = -1
county = -1
city = loc[2]
elif COUNTY:
loc = gen_locations("COUNTY", state)
loc = loc[random.randint(0, len(loc) - 1)]
state = -1
county = loc[1]
city = -1
else:
state = 9
county = -1
city = -1
print(user_id)
print(title)
print(content)
print(state)
print(county)
print(city)
def on_button_click(n, current_sub):
if n is None:
return ""
else:
start_df = matrices[current_sub]["start_df"]
one_df = matrices[current_sub]["one_df"]
two_df = matrices[current_sub]["two_df"]
sentence = markov.generate_sentence(start_df, one_df, two_df, 1, 15)
return sentence
def gen_post(): #email = emails[random.randint(0, len(emails) - 1)] n = 10000 for i in range(n): post_id = random.randint(0, 1000) user_id = random.randint(0, 1000) content = mk.generate_sentence(random.randint(2, 5)) print(user_id) print(post_id) print(content)
def test_generate_sentence(mock_model, mock_bot, message):
markov.generate_sentence(message)
assert mock_model.called_once_with(message.chat)
assert mock_bot.send_message.called is True
def index():
return render_template('index.html', sentence=generate_sentence())
consumer_secret,
access_token_key,
access_token_secret,
sleep_on_rate_limit=True,
tweet_mode='extended')
except:
print("Something went wrong with authentication. Did you set your environment variables properly?")
sys.exit(2)
if not args.handles is None:
for celebrity in args.handles:
print("Fetching ", celebrity, "'s tweets...")
train(twitter_api, data_table, celebrity)
print("Generating tweets...")
while(True):
# Take screenshot and check the size
TMWScrCapPrint.takeScreenshot(capturePath)
TMWScrCapPrint.printImage(capturePath)
# Generates a sentence, tweets it, then sleeps.
text = markov.generate_sentence(data_table)
try:
twitter_api.PostUpdate(text.capitalize(), media='%s/TweetTweet.png' %capturePath)
except twitter.error.TwitterError:
pass
print("New tweet: ", text)
time.sleep(interval - ((time.time() - startTime) % interval))
from markov import generate_sentence'kj' print(generate_sentence())