code: def test_FillLesions_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          bin_mask=dict(
              argstr="-mask %s",
              extensions=None,
          ),
          cwf=dict(
              argstr="-cwf %f",
          ),
          debug=dict(
              argstr="-debug",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_dilation=dict(
              argstr="-dil %d",
          ),
          in_file=dict(
              argstr="-i %s",
              extensions=None,
              mandatory=True,
              position=1,
          ),
          lesion_mask=dict(
              argstr="-l %s",
              extensions=None,
              mandatory=True,
              position=2,
          ),
          match=dict(
              argstr="-match %f",
          ),
          other=dict(
              argstr="-other",
          ),
          out_datatype=dict(
              argstr="-odt %s",
          ),
          out_file=dict(
              argstr="-o %s",
              extensions=None,
              name_source=["in_file"],
              name_template="%s_lesions_filled.nii.gz",
              position=3,
          ),
          search=dict(
              argstr="-search %f",
          ),
          size=dict(
              argstr="-size %d",
          ),
          smooth=dict(
              argstr="-smo %f",
          ),
          use_2d=dict(
              argstr="-2D",
          ),
          verbose=dict(
              argstr="-v",
          ),
      )
      inputs = FillLesions.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_FillLesions_inputs() without return types