def test_MultiResolutionAffineRegistration_inputs():
    input_map = dict(args=dict(argstr='%s'), environ=dict(nohash=True, usedefault=True), fixedImage=dict(argstr='%s', position=(- 2)), fixedImageMask=dict(argstr='--fixedImageMask %s'), fixedImageROI=dict(argstr='--fixedImageROI %s'), metricTolerance=dict(argstr='--metricTolerance %f'), movingImage=dict(argstr='%s', position=(- 1)), numIterations=dict(argstr='--numIterations %d'), numLineIterations=dict(argstr='--numLineIterations %d'), resampledImage=dict(argstr='--resampledImage %s', hash_files=False), saveTransform=dict(argstr='--saveTransform %s', hash_files=False), stepSize=dict(argstr='--stepSize %f'), stepTolerance=dict(argstr='--stepTolerance %f'))
    inputs = MultiResolutionAffineRegistration.input_spec()
    for (key, metadata) in list(input_map.items()):
        for (metakey, value) in list(metadata.items()):
            assert (getattr(inputs.traits()[key], metakey) == value)
def test_MultiResolutionAffineRegistration_inputs():
    input_map = dict(args=dict(argstr='%s'), environ=dict(nohash=True, usedefault=True), fixedImage=dict(argstr='%s', position=(- 2)), fixedImageMask=dict(argstr='--fixedImageMask %s'), fixedImageROI=dict(argstr='--fixedImageROI %s'), metricTolerance=dict(argstr='--metricTolerance %f'), movingImage=dict(argstr='%s', position=(- 1)), numIterations=dict(argstr='--numIterations %d'), numLineIterations=dict(argstr='--numLineIterations %d'), resampledImage=dict(argstr='--resampledImage %s', hash_files=False), saveTransform=dict(argstr='--saveTransform %s', hash_files=False), stepSize=dict(argstr='--stepSize %f'), stepTolerance=dict(argstr='--stepTolerance %f'))
    inputs = MultiResolutionAffineRegistration.input_spec()
    for (key, metadata) in list(input_map.items()):
        for (metakey, value) in list(metadata.items()):
            assert (getattr(inputs.traits()[key], metakey) == value)