code: def test_normalized_is_op(self):
      def convertible_is_op(x: bool, y: bool):
          return x is True, False is x, x is y
  
      self.checkScript(convertible_is_op, (True, False))
  
      op_graph = torch.jit.script(convertible_is_op).graph
      FileCheck().check_count("aten::eq", 3, exactly=True).run(op_graph)
      FileCheck().check_count("aten::__is__", 0, exactly=True).run(
          op_graph
      )
  
imports: import torch
  from torch.testing._internal.jit_utils import JitTestCase, RUN_CUDA, _inline_everything
  from torch import nn
  from torch.testing import FileCheck
  from typing import Callable, List
  import unittest
label_desc: Use image node_id 12 for calling the TestPeephole obj's underlying member method code with example usage: obj.test_normalized_is_op() and returns: unknown,  unknown,  unknown