def test_assess_preformance():
poor = p.analyze('..//data//exercise.csv', 'Street')
good = g.analyze('..//data//exercise.csv', 'Street')
poor_elapsed = poor[1] - poor[0]
good_elapsed = good[1] - good[0]
assert good_elapsed < poor_elapsed
assert poor[2] == good[2]
assert poor[3] == good[3]
def test_assess_preformance():
""" compare """
poor = p.analyze('exercise.csv')
good = g.analyze('exercise.csv')
poor_elapsed = poor[1] - poor[0]
good_elapsed = good[1] - good[0]
assert good_elapsed < poor_elapsed
assert poor[2] == good[2]
assert poor[3] == good[3]
def test_analyze(self):#, datetime_good, datetime_poor):
"""Tests ``analyze``."""
# datetime_good.now.return_value = NOW
# datetime_poor.now.return_value = NOW
with mock.patch("poor_perf.datetime") as mock_date:
mock_date.datetime.now.return_value = NOW
mock_date.datetime.side_effect = lambda *args, **kwargs: dt(*args, **kwargs)
mock_date.datetime.strptime = lambda *args, **kwargs: dt.strptime(*args, **kwargs)
with mock.patch("builtins.print") as mock_print:
poor_res = poor.analyze(FILE)
poor_print = mock_print.call_args_list
with mock.patch("good_perf.datetime") as mock_date:
mock_date.datetime.now.return_value = NOW
mock_date.datetime.side_effect = lambda *args, **kwargs: dt(*args, **kwargs)
mock_date.datetime.strptime = lambda *args, **kwargs: dt.strptime(*args, **kwargs)
with mock.patch("builtins.print") as mock_print:
good_res = good.analyze(FILE)
good_print = mock_print.call_args_list
self.assertEqual(poor_print, good_print)
self.assertEqual(poor_res, good_res)