code: def test_maxcurvature_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          image=dict(
              argstr="--image %s",
              extensions=None,
          ),
          output=dict(
              argstr="--output %s",
              hash_files=False,
          ),
          sigma=dict(
              argstr="--sigma %f",
          ),
          verbose=dict(
              argstr="--verbose ",
          ),
      )
      inputs = maxcurvature.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_maxcurvature_inputs() without return types