8000 TST improve coverage of fastica function by NicolasHug · Pull Request #15102 · scikit-learn/scikit-learn · GitHub
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TST improve coverage of fastica function #15102

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merged 1 commit into from
Sep 27, 2019
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TST improve coverage of fastica function #15102

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19 changes: 19 additions & 0 deletions sklearn/decomposition/tests/test_fastica.py
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Original file line number Diff line number Diff line change
Expand Up @@ -280,3 +280,22 @@ def test_fastica_errors():
with pytest.raises(ValueError, match='Invalid algorithm.+must '
'be.+parallel.+or.+deflation'):
fastica(X, algorithm='pizza')


@pytest.mark.parametrize('whiten', [True, False])
@pytest.mark.parametrize('return_X_mean', [True, False])
@pytest.mark.parametrize('return_n_iter', [True, False])
def test_fastica_output_shape(whiten, return_X_mean, return_n_iter):
n_features = 3
n_samples = 10
rng = np.random.RandomState(0)
X = rng.random_sample((n_samples, n_features))

expected_len = 3 + return_X_mean + return_n_iter

out = fastica(X, whiten=whiten, return_n_iter=return_n_iter,
return_X_mean=return_X_mean)

assert len(out) == expected_len
if not whiten:
assert out[0] is None
0