cd53a2712c341a1641989962950f07fdb6b11a85,mne/io/tests/test_apply_function.py,,test_apply_function_verbose,#,30

Before Change

                   create_info(ch_names, 1., "mag"))
    // test return types in both code paths (parallel / 1 job)
    pytest.raises(TypeError, raw.apply_function, bad_1)
    pytest.raises(ValueError, raw.apply_function, bad_2)
    pytest.raises(TypeError, raw.apply_function, bad_1, n_jobs=2)
    pytest.raises(ValueError, raw.apply_function, bad_2, n_jobs=2)

    // check our arguments
    with catch_logging() as sio:
        out = raw.apply_function(printer, verbose=False)

After Change

    // test return types in both code paths (parallel / 1 job)
    with pytest.raises(TypeError, match="Return value must be an ndarray"):
        raw.apply_function(bad_1)
    with pytest.raises(ValueError, match="Return data must have shape"):
        raw.apply_function(bad_2)
    with pytest.raises(TypeError, match="Return value must be an ndarray"):
        raw.apply_function(bad_1, n_jobs=2)
    with pytest.raises(ValueError, match="Return data must have shape"):
        raw.apply_function(bad_2, n_jobs=2)

    // test return type when `channel_wise=False`
    raw.apply_function(printer, channel_wise=False)
    with pytest.raises(TypeError, match="Return value must be an ndarray"):
        raw.apply_function(bad_1, channel_wise=False)
    with pytest.raises(ValueError, match="Return data must have shape"):
        raw.apply_function(bad_3, channel_wise=False)

    // check our arguments
    with catch_logging() as sio:
        out = raw.apply_function(printer, verbose=False)
        assert len(sio.getvalue()) == 0
        assert out is raw

Instances