code: def test_Curvature_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          averages=dict(
              argstr="-a %d",
          ),
          copy_input=dict(),
          distances=dict(
              argstr="-distances %d %d",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              copyfile=True,
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          n=dict(
              argstr="-n",
          ),
          save=dict(
              argstr="-w",
          ),
          subjects_dir=dict(),
          threshold=dict(
              argstr="-thresh %.3f",
          ),
      )
      inputs = Curvature.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_Curvature_inputs() without return types