code: def fmt_name(name: str) -> str:
      match = re.match(r"^(.*)\.py\(([0-9]+)\): (.*)$", name)
      if match:
          filename, _, fn = match.groups()
  
          # This test can appear as `test/profiler/test_profiler_tree.py`
          # depending on where it is run from.
          test_file = os.path.splitext(os.path.split(__file__)[1])[0]
          if filename.endswith(test_file):
              filename = test_file
  
          # We test against a string literal, so all paths have to look like POSIX paths.
          filename = filename.replace(os.sep, "/")
  
          # We don't want to have to update this test every time PyTorch changes.
          # At some point we should test some line numbers, but for now it's
          # too brittle.
          lineno = "..."
  
          return f"{filename}.py({lineno}): {fn}"
  
      for kernel_pattern in (
          "void at::native::elementwise_kernel",
          "void at::native::reduce_kernel",
          "void at::native::vectorized_elementwise_kernel",
          "void at::native::unrolled_elementwise_kernel",
          r"void [a-zA-Z0-9]+_kernel",  # Nvidia kernels.
      ):
          name = re.sub(
              rf"{kernel_pattern}<.+>\(.+\)$",
              f"{kernel_pattern.replace('[a-zA-Z0-9]+', '...')}<...>(...)",
              name,
          )
  
      return re.sub(
          "object at 0x[0-9a-fA-F]+>", "object at 0xXXXXXXXXXXXX>", name
      )
  
imports: import functools
  import os
  import re
  import textwrap
  import traceback
  import unittest
  import expecttest
  import torch
  from torch._C._profiler import _ExtraFields_PyCall, _ExtraFields_PyCCall
  from torch.testing._internal.common_utils import TestCase, run_tests, IS_WINDOWS, TEST_WITH_CROSSREF, IS_ARM64, skipIfTorchDynamo
  from torch.utils._pytree import tree_map
label_desc: Use image node_id 3 for calling the ProfilerTree obj's underlying member method code with example usage: obj.fmt_name(name) and returns: re, filename, str, lineno, str, fn