def test_cohens_d_detects_wrong_controls():
"""morar.stats.cohens_d(pos_control, neg_control)"""
# mu = 10000, sigma=10
neg_control = np.random.normal(1000, 10, 1000)
# mu = 100, sigma=10
pos_control = np.random.normal(100, 10, 1000)
with pytest.raises(ValueError):
stats.cohens_d(pos_control, neg_control)
def test_cohens_d_unequal_group_sizes():
"""morar.stats.cohens_d(pos_control, neg_control)"""
# mu = 10000, sigma=10
pos_control = np.random.normal(1000, 10, 1000)
# mu = 100, sigma=10
neg_control = np.random.normal(100, 10, 2000)
ans = stats.cohens_d(pos_control, neg_control)
assert isinstance(ans, np.float)
assert ans > 0