code: def test_trace_call_inline_call(self, records):
      def g(x):
          return x * 2
  
      def f(x):
          return g(g(x))
  
      fn_opt = torch._dynamo.optimize("eager")(f)
      fn_opt(torch.randn(3, 3))
  
      self.assertEqual(len(records), 4)
      messages = [
          "\n".join(record.getMessage().split("\n")[-2:])
          for record in records
      ]
      self.assertExpectedInline(
          messages[0],
          """\
              return g(g(x))
                       ~^^^""",
      )
      self.assertExpectedInline(
          messages[1],
          """\
              return x * 2
                     ~~^~~""",
      )
      self.assertExpectedInline(
          messages[2],
          """\
              return g(g(x))
                     ~^^^^^^""",
      )
      self.assertExpectedInline(
          messages[3],
          """\
              return x * 2
                     ~~^~~""",
      )
  
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 25 for calling the LoggingTests obj's underlying member method code with example usage: obj.test_trace_call_inline_call(records) and returns: unknown, g