code: def test_BRAINSMultiSTAPLE_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputCompositeT1Volume=dict(
              argstr="--inputCompositeT1Volume %s",
              extensions=None,
          ),
          inputLabelVolume=dict(
              argstr="--inputLabelVolume %s...",
          ),
          inputTransform=dict(
              argstr="--inputTransform %s...",
          ),
          labelForUndecidedPixels=dict(
              argstr="--labelForUndecidedPixels %d",
          ),
          outputConfusionMatrix=dict(
              argstr="--outputConfusionMatrix %s",
              hash_files=False,
          ),
          outputMultiSTAPLE=dict(
              argstr="--outputMultiSTAPLE %s",
              hash_files=False,
          ),
          resampledVolumePrefix=dict(
              argstr="--resampledVolumePrefix %s",
          ),
          skipResampling=dict(
              argstr="--skipResampling ",
          ),
      )
      inputs = BRAINSMultiSTAPLE.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_BRAINSMultiSTAPLE_inputs() without return types