def test_calculate_sentiment():
"""
tests calculate_tweet_sentiment
"""
tweet_dic = ts.create_sentiment_dictionary(open('AFINN-111.txt'))
tweet_list = ts.parse_tweets(open('problem_1_submission.txt'))
for tweet in tweet_list:
print(ts.calculate_tweet_sentiment(tweet, tweet_dic))
def test_json_load():
"""
test parse_tweets()
"""
tweet_file = open('output.txt')
parsed = ts.parse_tweets(tweet_file)
cnt = 0
for item in parsed:
print(item)
cnt += 1
if cnt > 5:
break
tweet_file.close()
