code: def test_guards_recompiles(self, records):
      def fn(x, ys, zs):
          return inner(x, ys, zs)
  
      def inner(x, ys, zs):
          for y, z in zip(ys, zs):
              x += y * z
          return x
  
      ys = [1.0, 2.0]
      zs = [3.0]
      x = torch.tensor([1.0])
  
      fn_opt = torch._dynamo.optimize("eager")(fn)
      fn_opt(x, ys, zs)
      fn_opt(x, ys[:1], zs)
  
      record_str = "\n".join(r.getMessage() for r in records)
  
      self.assertIn(
          """\
  L['zs'][0] == 3.0                                             # for y, z in zip(ys, zs):""",
          record_str,
      )
      self.assertIn(
          """\
      triggered by the following guard failure(s):\n\
      - len(L['ys']) == 2                                             # for y, z in zip(ys, zs):""",
          record_str,
      )
  
imports: import atexit
  import contextlib
  import functools
  import logging
  import os
  import re
  import unittest.mock
  import torch
  import torch._dynamo.test_case
  import torch._dynamo.testing
  import torch.distributed
  from torch._dynamo.testing import skipIfNotPy311
  from torch.nn.parallel import DistributedDataParallel
  from torch.testing._internal.common_utils import find_free_port, munge_exc
  from torch.testing._internal.inductor_utils import HAS_CUDA
  from torch.testing._internal.logging_utils import LoggingTestCase, make_logging_test, make_settings_test
label_desc: Use image node_id 27 for calling the LoggingTests obj's underlying member method code with example usage: obj.test_guards_recompiles(records) and returns: inner, x