コード例 #1
0
ファイル: test_helpers.py プロジェクト: snorkeldepth/timecorr
def test_timepoint_decode_rfun_type():
    is_str = timepoint_decoder(try_data,
                               level=np.array([0, 1]),
                               combine=corrmean_combine,
                               cfun=np.array([None, isfc]),
                               rfun='eigenvector_centrality',
                               weights_params=laplace['params'])

    is_list = timepoint_decoder(
        try_data,
        level=np.array([0, 1]),
        combine=corrmean_combine,
        cfun=np.array([None, isfc]),
        rfun=['eigenvector_centrality', 'eigenvector_centrality'],
        weights_params=laplace['params'])

    is_array = timepoint_decoder(
        try_data,
        level=np.array([0, 1]),
        combine=corrmean_combine,
        cfun=np.array([None, isfc]),
        rfun=np.array(['eigenvector_centrality', 'eigenvector_centrality']),
        weights_params=laplace['params'])

    assert np.allclose(is_str, is_array, is_list)
コード例 #2
0
ファイル: test_helpers.py プロジェクト: snorkeldepth/timecorr
def timepoint_decoder_rfun_wrong():
    with pytest.raises(ValueError):
        assert timepoint_decoder(try_data,
                                 level=1,
                                 combine=corrmean_combine,
                                 cfun=['isfc', 'isfc'],
                                 rfun=['eigenvector_centrality'],
                                 weights_params=laplace['params'])
コード例 #3
0
ファイル: test_helpers.py プロジェクト: snorkeldepth/timecorr
def test_timepoint_decoder_level_type():
    is_int = timepoint_decoder(try_data,
                               level=1,
                               combine=corrmean_combine,
                               cfun=isfc,
                               rfun='eigenvector_centrality',
                               weights_params=laplace['params'])
    is_array = timepoint_decoder(try_data,
                                 level=np.array([1]),
                                 combine=corrmean_combine,
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])
    is_list = timepoint_decoder(try_data,
                                level=[1],
                                combine=corrmean_combine,
                                cfun=isfc,
                                rfun='eigenvector_centrality',
                                weights_params=laplace['params'])
    assert np.allclose(is_int, is_array, is_list)
コード例 #4
0
ファイル: test_helpers.py プロジェクト: snorkeldepth/timecorr
def timepoint_decoder_combine_wrong():
    with pytest.raises(ValueError):

        assert timepoint_decoder(try_data,
                                 level=[0, 1],
                                 combine=[corrmean_combine],
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])

        assert timepoint_decoder(try_data,
                                 level=[0, 1],
                                 combine=np.array([corrmean_combine]),
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])

        assert timepoint_decoder(try_data,
                                 level=[0, 1],
                                 combine='corrmean_combine',
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])
コード例 #5
0
ファイル: test_helpers.py プロジェクト: snorkeldepth/timecorr
def test_timepoint_decoder_level_error():
    with pytest.raises(ValueError):

        assert timepoint_decoder(try_data,
                                 level=[1, 2],
                                 combine=corrmean_combine,
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])

        assert timepoint_decoder(try_data,
                                 level=[-1, 0],
                                 combine=corrmean_combine,
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])

        assert timepoint_decoder(try_data,
                                 level='1',
                                 combine=corrmean_combine,
                                 cfun=isfc,
                                 rfun='eigenvector_centrality',
                                 weights_params=laplace['params'])