code: def test_respects_lexical_scoping(self):
      def fn(x, k):
          y = x * 1.1
          if bool(k):
              k = k + y
          z = y * k
          return z, k
  
      graph = self._perform_ad_subgraph_slicing(fn, 1, 1)
      # We should not have combined the two multiplications into
      # the same group; they should each be a separate DiffGraph
      self.assertGraphContainsExactly(
          graph, "prim::DifferentiableGraph", 3
      )
  
imports: import os
  import sys
  import unittest
  from torch.testing._internal.common_utils import GRAPH_EXECUTOR, ProfilingMode, num_profiled_runs, enable_profiling_mode_for_profiling_tests
  from torch.testing._internal.common_jit import check_against_reference
  import torch
  from torch.testing._internal.jit_utils import JitTestCase, disable_autodiff_subgraph_inlining
  from torch.testing import FileCheck
  from typing import List, Tuple, Optional
label_desc: Use image node_id 19 for calling the TestAutodiffSubgraphSlicing obj's underlying member method code with example usage: obj.test_respects_lexical_scoping() and returns: z,  k