def test_proc_filters(): freq = ANALOGS_DATA.rate order = 2 is_expected_array( ANALOGS_DATA.meca.low_pass(order=order, cutoff=5, freq=freq), **EXPECTED_VALUES[32], ) is_expected_array( ANALOGS_DATA.meca.low_pass(order=order, cutoff=5), **EXPECTED_VALUES[32], ) is_expected_array( ANALOGS_DATA.meca.high_pass(order=order, cutoff=100), **EXPECTED_VALUES[33], ) is_expected_array( ANALOGS_DATA.meca.band_pass(order=order, cutoff=[10, 200]), **EXPECTED_VALUES[34], ) is_expected_array( ANALOGS_DATA.meca.band_stop(order=order, cutoff=[40, 60]), **EXPECTED_VALUES[35], ) freq = MARKERS_DATA.rate is_expected_array( MARKERS_DATA.meca.low_pass(freq=freq, order=order, cutoff=5), **EXPECTED_VALUES[36], ) is_expected_array( MARKERS_DATA.meca.low_pass(order=order, cutoff=5), **EXPECTED_VALUES[36], ) is_expected_array( MARKERS_DATA.meca.high_pass(order=order, cutoff=10), **EXPECTED_VALUES[37], ) is_expected_array( MARKERS_DATA.meca.band_pass(order=order, cutoff=[1, 10]), **EXPECTED_VALUES[38], ) is_expected_array( MARKERS_DATA.meca.band_stop(order=order, cutoff=[5, 6]), **EXPECTED_VALUES[39], ) with pytest.raises(ValueError): Analogs.from_random_data().meca.band_stop(order=order, cutoff=[5, 6])
def test_analogs_creation(): dims = ("channel", "time") array = Analogs() np.testing.assert_array_equal(x=array, y=xr.DataArray()) assert array.dims == dims array = Analogs(ANALOGS_DATA.values) is_expected_array(array, **EXPECTED_VALUES[56]) size = 10, 100 array = Analogs.from_random_data(size=size) assert array.shape == size assert array.dims == dims with pytest.raises(ValueError): Analogs(MARKERS_DATA)