def test_merge_negativ_overlap():
"""Try to merge multiple windows with negativ overlap
"""
X = np.concatenate([np.ones((1, 10, 2)), np.zeros((1, 10, 2))])
with pytest.raises(ValueError,
match="window_overlap should be non-negative."):
Xtransform = _merge_overlap(X, window_overlap=-1)
def test_merge_simple2():
"""Merge multiple windows with overlap
"""
X = np.reshape(np.arange(1., 21.), (5, 2, 2))
Xtransform = _merge_overlap(X, window_overlap=1)
npt.assert_array_almost_equal(Xtransform,
np.concatenate([X[0:-1, 0, :], X[-1, :, :]]))
def test_merge_too_big_overlap():
"""Try to merge multiple windows with too big overlap
"""
X = np.concatenate([np.ones((1, 10, 2)), np.zeros((1, 10, 2))])
with pytest.raises(
ValueError,
match="window_overlap cannot be higher than n_samples."):
Xtransform = _merge_overlap(X, window_overlap=11)
def test_merge_wrong_dim():
X = np.concatenate([np.ones((10, 2)), np.zeros((10, 2))])
with pytest.raises(
ValueError,
match='X.shape should be \(n_trials, n_samples, n_electrodes\).'):
Xtransform = _merge_overlap(X, window_overlap=1)
def test_merge_simple():
"""Merge multiple windows with overlap
"""
X = np.concatenate([np.ones((1, 10, 2)), np.zeros((1, 10, 2))])
Xtransform = _merge_overlap(X, window_overlap=10)
npt.assert_array_almost_equal(Xtransform, X[-1, :, :])