def test_get_df_without_caching():
"""
*.get_dataframe() can still retrieve the dataframe without caching.
"""
sd = EventTableSubset(start="2016-01-01", stop="2016-01-02")
sd.get_dataframe()
sd.turn_off_caching()
assert isinstance(sd.get_dataframe(), pd.DataFrame)
assert isinstance(sd.get_dataframe(), pd.DataFrame)
def test_turn_off_caching():
"""
*.turn_off_caching() 'forgets' generated dataframe.
"""
sd = EventTableSubset(start="2016-01-01", stop="2016-01-02")
sd.get_dataframe()
sd.turn_off_caching()
with pytest.raises(AttributeError):
sd._df
def test_turn_on_caching():
"""
*.get_dataframe() dataframe is retained when we turning on caching.
"""
sd = EventTableSubset(start="2016-01-01", stop="2016-01-02")
sd.get_dataframe()
sd.turn_off_caching()
sd.turn_on_caching()
sd.get_dataframe()
assert isinstance(sd._df, pd.DataFrame)
def test_cache_is_returned():
"""
Cache property is returned when called.
"""
sd = EventTableSubset(start="2016-01-01", stop="2016-01-02")
sd.get_dataframe()
sd.turn_on_caching()
assert sd.cache
sd.turn_off_caching()
assert not sd.cache
def test_turn_off_caching_handles_error():
"""
*.turn_off_caching() works even if ._df attribute is not present.
"""
sd = EventTableSubset(start="2016-01-01", stop="2016-01-02")
sd.get_dataframe()
sd.turn_off_caching()
sd.turn_on_caching()
sd.get_dataframe()
del sd._df
sd.turn_off_caching()