code: def test_ExtractROI_inputs():
      input_map = dict(
          args=dict(
              argstr="%s",
          ),
          crop_list=dict(
              argstr="%s",
              position=2,
              xor=[
                  "x_min",
                  "x_size",
                  "y_min",
                  "y_size",
                  "z_min",
                  "z_size",
                  "t_min",
                  "t_size",
              ],
          ),
          environ=dict(
              nohash=True,
              usedefault=True,
          ),
          in_file=dict(
              argstr="%s",
              extensions=None,
              mandatory=True,
              position=0,
          ),
          output_type=dict(),
          roi_file=dict(
              argstr="%s",
              extensions=None,
              genfile=True,
              hash_files=False,
              position=1,
          ),
          t_min=dict(
              argstr="%d",
              position=8,
          ),
          t_size=dict(
              argstr="%d",
              position=9,
          ),
          x_min=dict(
              argstr="%d",
              position=2,
          ),
          x_size=dict(
              argstr="%d",
              position=3,
          ),
          y_min=dict(
              argstr="%d",
              position=4,
          ),
          y_size=dict(
              argstr="%d",
              position=5,
          ),
          z_min=dict(
              argstr="%d",
              position=6,
          ),
          z_size=dict(
              argstr="%d",
              position=7,
          ),
      )
      inputs = ExtractROI.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_ExtractROI_inputs() without return types