code: def test_stepped_tuple_slicing(self):
      def check_slicing_tuple(slicing, tuple_type, tuple):
          template = dedent(
              """
              def func(x):
                  # type: ({}) -> Any
                  return x{}
              """
          )
          self._check_code(
              template.format(tuple_type, slicing), "func", [tuple]
          )
  
      check_slicing_tuple("[-3:3:2]", "Tuple[int, int, int]", (0, 1, 2))
      check_slicing_tuple(
          "[::55]", "Tuple[int, int, int, int, int]", (0, 1, 2, 3, 4)
      )
      check_slicing_tuple(
          "[:4:4]", "Tuple[int, int, int, int, int]", (0, 1, 2, 3, 4)
      )
      check_slicing_tuple(
          "[::-1]",
          "Tuple[int, int, int, int, int, int, int]",
          (0, 1, 2, 3, 4, 5, 6),
      )
      check_slicing_tuple(
          "[7:5:2]",
          "Tuple[int, int, int, int, int, int, int]",
          (0, 1, 2, 3, 4, 5, 6),
      )
      check_slicing_tuple(
          "[5:7:-2]",
          "Tuple[int, int, int, int, int, int, int]",
          (0, 1, 2, 3, 4, 5, 6),
      )
      check_slicing_tuple(
          "[::-2]", "Tuple[int, int, int, int, int]", (0, 1, 2, 3, 4)
      )
      check_slicing_tuple(
          "[:4:-3]",
          "Tuple[int, int, int, int, int, int]",
          (0, 1, 2, 3, 4, 5),
      )
      check_slicing_tuple(
          "[3::-2]", "Tuple[int, int, int, int, int]", (0, 1, 2, 3, 4)
      )
  
imports: import os
  import sys
  import tempfile
  import random
  from textwrap import dedent
  import torch
  from torch.testing._internal.jit_utils import JitTestCase, execWrapper
label_desc: Use image node_id 10 for calling the TestPythonBuiltinOP obj's underlying member method code with example usage: obj.test_stepped_tuple_slicing() without return types