else:
    importlib.import_module("keras.src.optimizers")
except (ImportError, AttributeError):
  pass

del importlib

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied

    )
    p.text += "\n      probably caused the Kokoro invocation to fail."
  else:
    p.text += (
        "\n      Since there were not three failures, this is probably a flake."
    )
    p.text += (
        "\n      Flakes make this pkg/pip_and_nonpip_tests target show "
        "as failing,"
    )
    p.text += "\n      but do not make the Kokoro invocation fail."

os.makedirs(os.path.dirname(sys.argv[2]), exist_ok=True)

      elem.text = indent_str + '  '
    if not elem.tail or not elem.tail.strip():
      elem.tail = indent_str
    for elem in elem:
      indent_xml(elem, level + 1)
    if not elem.tail or not elem.tail.strip():
      elem.tail = indent_str
  else:
    if level and (not elem.tail or not elem.tail.strip()):
      elem.tail = indent_str


def create_xml_file(result_store_dict: ResultDictType,

if _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH", ""):
  _ll.load_pluggable_device_library(
      _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH")
  )

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied

          failed_packages.append(package_name)

    if failed_packages:
      self.fail(
          "Failed to import"
          f" {len(failed_packages)}/{len(self.api_packages_v2)} packages"
          f" {version}:\n{failed_packages}"
      )
    logging.info("Import of packages was successful.")


if __name__ == "__main__":

  config_info_line('nogcp', 'Disable GCP support.')
  config_info_line('nonccl', 'Disable NVIDIA NCCL support.')


if __name__ == '__main__':