def test_is_different():
np.random.seed(1)
# Smoke test is_different
for true_mean, n, significant in [(0.01, 10, False), (0.05, 100, True),
(0.1, 10, True)]:
samples_a = 0 + 0.1 * np.random.rand(n)
samples_b = true_mean + 0.1 * np.random.rand(n)
result_a, stats_a = statistics.compute_stats(samples_a, 1)
result_b, stats_b = statistics.compute_stats(samples_b, 1)
assert statistics.is_different(None, None, stats_a,
stats_b) == significant
assert statistics.is_different(samples_a, samples_b, stats_a,
stats_b) == significant
def test_is_different():
np.random.seed(1)
# Smoke test is_different
for true_mean, n, significant in [(0.05, 10, False), (0.05, 100, True), (0.1, 10, True)]:
samples_a = 0 + 0.1 * np.random.rand(n)
samples_b = true_mean + 0.1 * np.random.rand(n)
result_a, stats_a = statistics.compute_stats(samples_a)
result_b, stats_b = statistics.compute_stats(samples_b)
assert statistics.is_different(stats_a, stats_b) == significant
