def problem7():
if check_doctest('group_tweets_by_state', trends):
return True
def test_groups():
tweets = pirate_tweets(trends.make_tweet)
expected = {
'MI': [tweets[0], tweets[4]],
'MT': [tweets[1], tweets[5]],
'ND': [tweets[2], tweets[6]],
'FL': [tweets[3], tweets[7]],
}
tests = ( ((tweets,), expected), )
if check_func(trends.group_tweets_by_state, tests, comp=comp_group):
return True
if test_groups():
return True
print("Testing abstraction barriers.")
try:
trends.swap_tweet_representation()
if test_groups():
return True
finally:
trends.swap_tweet_representation()
def problem7(grades):
"""Test group_tweets_by_state."""
if check_doctest('group_tweets_by_state', trends):
return True
def test_groups():
tweets = pirate_tweets(trends.make_tweet)
expected = {
'MI': [tweets[0], tweets[4]],
'MT': [tweets[1], tweets[5]],
'ND': [tweets[2], tweets[6]],
'FL': [tweets[3], tweets[7]],
}
tests = (((tweets, ), expected), )
if check_func(trends.group_tweets_by_state, tests, comp=comp_group):
return True
if test_groups():
return True
print("Testing abstraction barriers.")
try:
trends.swap_tweet_representation()
if test_groups():
return True
finally:
trends.swap_tweet_representation()
def problem8(grades):
"""Test average_sentiments."""
def test_average():
tweets = pirate_tweets(trends.make_tweet) + (
trends.make_tweet('This tweet is without a sentiment', None, None,
None),
trends.make_tweet('This tweet is also without a sentiment', None,
None, None),
)
tweets_by_state = {
'MT': [tweets[1], tweets[5]],
'MI': [tweets[0], tweets[4]],
'FL': [tweets[3], tweets[7]],
'ND': [tweets[2], tweets[6]],
'AA': [tweets[8], tweets[9]],
}
expected = {
'MT': -0.08333333333333333,
'MI': 0.325,
'FL': 0.5,
'ND': 0.020833333333333332
}
tests = (((tweets_by_state, ), expected), )
if check_func(trends.average_sentiments, tests, comp=comp_dict):
return True
if test_average():
return True
print("Testing abstraction barriers.")
try:
trends.swap_tweet_representation()
original_make_sentiment = trends.make_sentiment
original_sentiment_value = trends.sentiment_value
original_has_sentiment = trends.has_sentiment
trends.make_sentiment = lambda s: lambda: s
trends.has_sentiment = lambda s: s() is not None
trends.sentiment_value = lambda s: s()
if test_average():
return True
finally:
trends.swap_tweet_representation()
trends.make_sentiment = original_make_sentiment
trends.sentiment_value = original_sentiment_value
trends.has_sentiment = original_has_sentiment
def problem8(grades):
"""Test average_sentiments."""
def test_average():
tweets = pirate_tweets(trends.make_tweet) + (
trends.make_tweet('This tweet is without a sentiment', None, None, None),
trends.make_tweet('This tweet is also without a sentiment', None, None, None),
)
tweets_by_state = {
'MT': [ tweets[1], tweets[5] ],
'MI': [ tweets[0], tweets[4] ],
'FL': [ tweets[3], tweets[7] ],
'ND': [ tweets[2], tweets[6] ],
'AA': [ tweets[8], tweets[9] ],
}
expected = {
'MT': -0.08333333333333333,
'MI': 0.325,
'FL': 0.5,
'ND': 0.020833333333333332
}
tests = ( ((tweets_by_state,),expected) ,)
if check_func(trends.average_sentiments, tests, comp=comp_dict):
return True
if test_average():
return True
print("Testing abstraction barriers.")
try:
trends.swap_tweet_representation()
original_make_sentiment = trends.make_sentiment
original_sentiment_value = trends.sentiment_value
original_has_sentiment = trends.has_sentiment
trends.make_sentiment = lambda s: lambda: s
trends.has_sentiment = lambda s: s() is not None
trends.sentiment_value = lambda s: s()
if test_average():
return True
finally:
trends.swap_tweet_representation()
trends.make_sentiment = original_make_sentiment
trends.sentiment_value = original_sentiment_value
trends.has_sentiment = original_has_sentiment
