def test_LabelMapSmoothing_inputs():
    input_map = dict(args=dict(argstr='%s',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    gaussianSigma=dict(argstr='--gaussianSigma %f',
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    inputVolume=dict(argstr='%s',
    position=-2,
    ),
    labelToSmooth=dict(argstr='--labelToSmooth %d',
    ),
    maxRMSError=dict(argstr='--maxRMSError %f',
    ),
    numberOfIterations=dict(argstr='--numberOfIterations %d',
    ),
    outputVolume=dict(argstr='%s',
    hash_files=False,
    position=-1,
    ),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    )
    inputs = LabelMapSmoothing.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_LabelMapSmoothing_inputs():
    input_map = dict(
        args=dict(argstr='%s', ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        gaussianSigma=dict(argstr='--gaussianSigma %f', ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        inputVolume=dict(
            argstr='%s',
            position=-2,
        ),
        labelToSmooth=dict(argstr='--labelToSmooth %d', ),
        maxRMSError=dict(argstr='--maxRMSError %f', ),
        numberOfIterations=dict(argstr='--numberOfIterations %d', ),
        outputVolume=dict(
            argstr='%s',
            hash_files=False,
            position=-1,
        ),
        terminal_output=dict(nohash=True, ),
    )
    inputs = LabelMapSmoothing.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_LabelMapSmoothing_outputs():
    output_map = dict(outputVolume=dict(position=-1, ), )
    outputs = LabelMapSmoothing.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_LabelMapSmoothing_outputs():
    output_map = dict(outputVolume=dict(position=-1,
    ),
    )
    outputs = LabelMapSmoothing.output_spec()

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