code: def _run(self, starts, ends, steps):  # type: ignore
      return (np.arange(starts, ends, steps).astype(starts.dtype),)
  
imports: import numpy
  from onnx.reference.op_run import OpRun
label_desc: Use image node_id 1 for calling the Range obj's underlying member method code with example usage: obj._run(starts, ends, steps) and returns: np