class TestRunEstimator(unittest.TestCase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.sut = RunEstimator()
def assert_estimation(self, n_success, n_evals, s, min_evals):
assert_that(self.sut.n_success, is_(equal_to(n_success)))
assert_nearly_equal_or_both_nan(self.sut.n_evals, n_evals)
assert_nearly_equal_or_both_nan(self.sut.s, s)
assert_nearly_equal_or_both_nan(self.sut.min_evals, min_evals)
def test_no_runs__statistics_should_be_according(self):
self.assert_estimation(
n_success=(0, 0), n_evals=float('nan'),
s=float('nan'), min_evals=float('nan'))
def test_estimation_should_be_calculated_properly(self):
self.assert_estimation(
n_success=(0, 0), n_evals=float('nan'),
s=float('nan'), min_evals=float('nan'))
self.sut.append_failure()
self.assert_estimation(
n_success=(0, 1), n_evals=float('nan'),
s=float('nan'), min_evals=float('nan'))
self.sut.append_success(555)
self.assert_estimation(n_success=(1, 2), n_evals=555, s=0, min_evals=555)
self.sut.append_success(3)
self.assert_estimation(n_success=(2, 3), n_evals=279, s=276, min_evals=3)
self.sut.append_failure()
self.assert_estimation(n_success=(2, 4), n_evals=279, s=276, min_evals=3)
self.sut.append_success(20)
self.assert_estimation(n_success=(3, 5), n_evals=192.66, s=256.30, min_evals=3)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.sut = RunEstimator()