def test_ResampleScalarVectorDWIVolume_outputs():
    output_map = dict(outputVolume=dict(position=-1, ), )
    outputs = ResampleScalarVectorDWIVolume.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_ResampleScalarVectorDWIVolume_outputs():
    output_map = dict(outputVolume=dict(position=-1,
    ),
    )
    outputs = ResampleScalarVectorDWIVolume.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_ResampleScalarVectorDWIVolume_inputs():
    input_map = dict(
        Inverse_ITK_Transformation=dict(
            argstr='--Inverse_ITK_Transformation ', ),
        Reference=dict(argstr='--Reference %s', ),
        args=dict(argstr='%s', ),
        centered_transform=dict(argstr='--centered_transform ', ),
        defField=dict(argstr='--defField %s', ),
        default_pixel_value=dict(argstr='--default_pixel_value %f', ),
        direction_matrix=dict(
            argstr='--direction_matrix %s',
            sep=',',
        ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        hfieldtype=dict(argstr='--hfieldtype %s', ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        image_center=dict(argstr='--image_center %s', ),
        inputVolume=dict(
            argstr='%s',
            position=-2,
        ),
        interpolation=dict(argstr='--interpolation %s', ),
        notbulk=dict(argstr='--notbulk ', ),
        number_of_thread=dict(argstr='--number_of_thread %d', ),
        origin=dict(argstr='--origin %s', ),
        outputVolume=dict(
            argstr='%s',
            hash_files=False,
            position=-1,
        ),
        rotation_point=dict(argstr='--rotation_point %s', ),
        size=dict(
            argstr='--size %s',
            sep=',',
        ),
        spaceChange=dict(argstr='--spaceChange ', ),
        spacing=dict(
            argstr='--spacing %s',
            sep=',',
        ),
        spline_order=dict(argstr='--spline_order %d', ),
        terminal_output=dict(
            mandatory=True,
            nohash=True,
        ),
        transform=dict(argstr='--transform %s', ),
        transform_matrix=dict(
            argstr='--transform_matrix %s',
            sep=',',
        ),
        transform_order=dict(argstr='--transform_order %s', ),
        transformationFile=dict(argstr='--transformationFile %s', ),
        window_function=dict(argstr='--window_function %s', ),
    )
    inputs = ResampleScalarVectorDWIVolume.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_ResampleScalarVectorDWIVolume_inputs():
    input_map = dict(Inverse_ITK_Transformation=dict(argstr='--Inverse_ITK_Transformation ',
    ),
    Reference=dict(argstr='--Reference %s',
    ),
    args=dict(argstr='%s',
    ),
    centered_transform=dict(argstr='--centered_transform ',
    ),
    defField=dict(argstr='--defField %s',
    ),
    default_pixel_value=dict(argstr='--default_pixel_value %f',
    ),
    direction_matrix=dict(argstr='--direction_matrix %s',
    sep=',',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    hfieldtype=dict(argstr='--hfieldtype %s',
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    image_center=dict(argstr='--image_center %s',
    ),
    inputVolume=dict(argstr='%s',
    position=-2,
    ),
    interpolation=dict(argstr='--interpolation %s',
    ),
    notbulk=dict(argstr='--notbulk ',
    ),
    number_of_thread=dict(argstr='--number_of_thread %d',
    ),
    origin=dict(argstr='--origin %s',
    ),
    outputVolume=dict(argstr='%s',
    hash_files=False,
    position=-1,
    ),
    rotation_point=dict(argstr='--rotation_point %s',
    ),
    size=dict(argstr='--size %s',
    sep=',',
    ),
    spaceChange=dict(argstr='--spaceChange ',
    ),
    spacing=dict(argstr='--spacing %s',
    sep=',',
    ),
    spline_order=dict(argstr='--spline_order %d',
    ),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    transform=dict(argstr='--transform %s',
    ),
    transform_matrix=dict(argstr='--transform_matrix %s',
    sep=',',
    ),
    transform_order=dict(argstr='--transform_order %s',
    ),
    transformationFile=dict(argstr='--transformationFile %s',
    ),
    window_function=dict(argstr='--window_function %s',
    ),
    )
    inputs = ResampleScalarVectorDWIVolume.input_spec()

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