class_docstr: Tests for TorchScript support of Python builtin functions.
code: def test_del_multiple_operands(self):
      def fn(x: List[int]) -> List[int]:
          a, b, c = x[0], x[1], x[2]
          del a, b, c
          return x
  
      self.checkScript(fn, ([1, 2, 3],))
  
      def del_list_multiple_operands(x: List[int]) -> List[int]:
          del x[0], x[1]
          return x
  
      py_out = del_list_multiple_operands([0, 1, 2])
      jit_out = torch.jit.script(del_list_multiple_operands)([0, 1, 2])
      self.assertEqual(py_out, jit_out)
  
      def del_dict_multiple_operands(
          x: Dict[str, int]
      ) -> Dict[str, int]:
          del x["hi"], x["there"]
          return x
  
      py_out = del_dict_multiple_operands({"hi": 5, "there": 6})
      jit_out = torch.jit.script(del_dict_multiple_operands)(
          {"hi": 5, "there": 6}
      )
      self.assertEqual(py_out, jit_out)
  
imports: import os
  import sys
  import inspect
  import unittest
  from typing import Dict, List
  import torch
  from torch.testing import FileCheck
  from torch.testing._internal.jit_utils import JitTestCase, RUN_CUDA
label_desc: Use image node_id 4 for calling the TestBuiltins obj's underlying member method code with example usage: obj.test_del_multiple_operands() and returns: x, x, x