code: def test_MRIsInflate_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              copyfile=True,
              extensions=None,
              mandatory=True,
              position=-2,
          ),
          no_save_sulc=dict(
              argstr="-no-save-sulc",
              xor=["out_sulc"],
          ),
          out_file=dict(
              argstr="%s",
              extensions=None,
              hash_files=False,
              keep_extension=True,
              name_source=["in_file"],
              name_template="%s.inflated",
              position=-1,
          ),
          out_sulc=dict(
              extensions=None,
              xor=["no_save_sulc"],
          ),
          subjects_dir=dict(),
      )
      inputs = MRIsInflate.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_MRIsInflate_inputs() without return types