code: def test_MultiResolutionAffineRegistration_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          fixedImage=dict(
              argstr="%s",
              extensions=None,
              position=-2,
          ),
          fixedImageMask=dict(
              argstr="--fixedImageMask %s",
              extensions=None,
          ),
          fixedImageROI=dict(
              argstr="--fixedImageROI %s",
          ),
          metricTolerance=dict(
              argstr="--metricTolerance %f",
          ),
          movingImage=dict(
              argstr="%s",
              extensions=None,
              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
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_MultiResolutionAffineRegistration_inputs() without return types