code: def test_SimpleRegionGrowingSegmentation_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          inputVolume=dict(
              argstr="%s",
              extensions=None,
              position=-2,
          ),
          iterations=dict(
              argstr="--iterations %d",
          ),
          labelvalue=dict(
              argstr="--labelvalue %d",
          ),
          multiplier=dict(
              argstr="--multiplier %f",
          ),
          neighborhood=dict(
              argstr="--neighborhood %d",
          ),
          outputVolume=dict(
              argstr="%s",
              hash_files=False,
              position=-1,
          ),
          seed=dict(
              argstr="--seed %s...",
          ),
          smoothingIterations=dict(
              argstr="--smoothingIterations %d",
          ),
          timestep=dict(
              argstr="--timestep %f",
          ),
      )
      inputs = SimpleRegionGrowingSegmentation.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_SimpleRegionGrowingSegmentation_inputs() without return types