예제 #1
0
def test_GradientAnisotropicDiffusion_inputs():
    input_map = dict(args=dict(argstr='%s',
    ),
    conductance=dict(argstr='--conductance %f',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    inputVolume=dict(argstr='%s',
    position=-2,
    ),
    iterations=dict(argstr='--iterations %d',
    ),
    outputVolume=dict(argstr='%s',
    hash_files=False,
    position=-1,
    ),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    timeStep=dict(argstr='--timeStep %f',
    ),
    )
    inputs = GradientAnisotropicDiffusion.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_GradientAnisotropicDiffusion_inputs():
    input_map = dict(ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    outputVolume=dict(position=-1,
    hash_files=False,
    argstr='%s',
    ),
    timeStep=dict(argstr='--timeStep %f',
    ),
    args=dict(argstr='%s',
    ),
    conductance=dict(argstr='--conductance %f',
    ),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    iterations=dict(argstr='--iterations %d',
    ),
    inputVolume=dict(position=-2,
    argstr='%s',
    ),
    )
    inputs = GradientAnisotropicDiffusion.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
예제 #3
0
def test_GradientAnisotropicDiffusion_outputs():
    output_map = dict(outputVolume=dict(position=-1, ), )
    outputs = GradientAnisotropicDiffusion.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_GradientAnisotropicDiffusion_outputs():
    output_map = dict(outputVolume=dict(position=-1,
    ),
    )
    outputs = GradientAnisotropicDiffusion.output_spec()

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