code: def test_SmoothEstimate_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          dof=dict(
              argstr="--dof=%d",
              mandatory=True,
              xor=["zstat_file"],
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          mask_file=dict(
              argstr="--mask=%s",
              extensions=None,
              mandatory=True,
          ),
          output_type=dict(),
          residual_fit_file=dict(
              argstr="--res=%s",
              extensions=None,
              requires=["dof"],
          ),
          zstat_file=dict(
              argstr="--zstat=%s",
              extensions=None,
              xor=["dof"],
          ),
      )
      inputs = SmoothEstimate.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_SmoothEstimate_inputs() without return types