def test_returns_correct_values_with_manual_num_comparisons_float(self):
raw_p_values = [0.1, 0.05, 0.5]
expected = [0.5, 0.25, 1.0]
with warnings.catch_warnings():
warnings.simplefilter('ignore')
observed = statannot.bonferroni(raw_p_values, 5.0)
npt.assert_allclose(observed, expected)
def test_returns_correct_values_with_auto_num_comparisons(self):
raw_p_values = [0.1, 0.05, 0.5]
expected = [0.3, 0.15, 1.0]
observed = statannot.bonferroni(raw_p_values)
npt.assert_allclose(observed, expected)
def test_returns_scalar_with_scalar_input(self):
corrected = statannot.bonferroni(0.5)
with self.assertRaisesRegex(TypeError, 'has no len'):
# If `corrected` is a scalar, calling `len` should raise an error.
len(corrected)