def test_EstimateModel_inputs():
    input_map = dict(ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    paths=dict(),
    spm_mat_file=dict(copyfile=True,
    mandatory=True,
    field='spmmat',
    ),
    use_v8struct=dict(min_ver='8',
    usedefault=True,
    ),
    use_mcr=dict(),
    estimation_method=dict(field='method',
    mandatory=True,
    ),
    flags=dict(),
    mfile=dict(usedefault=True,
    ),
    matlab_cmd=dict(),
    )
    inputs = EstimateModel.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
Example #2
0
def test_EstimateModel_inputs():
    input_map = dict(
        estimation_method=dict(
            field='method',
            mandatory=True,
        ),
        flags=dict(),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        matlab_cmd=dict(),
        mfile=dict(usedefault=True, ),
        paths=dict(),
        spm_mat_file=dict(
            copyfile=True,
            field='spmmat',
            mandatory=True,
        ),
        use_mcr=dict(),
        use_v8struct=dict(
            min_ver='8',
            usedefault=True,
        ),
    )
    inputs = EstimateModel.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value