1b9d2228bc40f817ef1765686bc2ec6e81079d13,mne/preprocessing/tests/test_ssp.py,,test_compute_proj_ctf,#,136

Before Change

                            exclude="bads"))

    // Test with and without gradient compensation
    for c in [0, 1]:
        raw.apply_gradient_compensation(c)
        for average in [False, True]:
            n_projs_init = len(raw.info["projs"])

After Change

    // Test with and without gradient compensation
    raw.apply_gradient_compensation(0)
    n_projs_init = len(raw.info["projs"])
    with pytest.warns(RuntimeWarning, match="Attenuation"):
        projs, _ = compute_proj_eog(
            raw, n_mag=2, n_grad=2, n_eeg=2, average=True, ch_name="EEG059",
            avg_ref=True, no_proj=False, l_freq=None, h_freq=None,
            reject=None, tmax=dur_use, filter_length=1000)
    _check_projs_for_expected_channels(projs, n_mags, n_grads, n_eegs)
    assert len(projs) == (5 + n_projs_init)

    raw.apply_gradient_compensation(1)

Instances