code: def test_SegmentCC_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          copy_inputs=dict(),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="-aseg %s",
              extensions=None,
              mandatory=True,
          ),
          in_norm=dict(
              extensions=None,
              mandatory=True,
          ),
          out_file=dict(
              argstr="-o %s",
              extensions=None,
              hash_files=False,
              keep_extension=False,
              name_source=["in_file"],
              name_template="%s.auto.mgz",
          ),
          out_rotation=dict(
              argstr="-lta %s",
              extensions=None,
              mandatory=True,
          ),
          subject_id=dict(
              argstr="%s",
              mandatory=True,
              position=-1,
              usedefault=True,
          ),
          subjects_dir=dict(),
      )
      inputs = SegmentCC.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_SegmentCC_inputs() without return types