)

# Add Keras module aliases
_losses = _KerasLazyLoader(globals(), submodule="losses", name="losses")
_metrics = _KerasLazyLoader(globals(), submodule="metrics", name="metrics")
_optimizers = _KerasLazyLoader(
    globals(), submodule="optimizers", name="optimizers")
_initializers = _KerasLazyLoader(
    globals(), submodule="initializers", name="initializers")
setattr(_current_module, "losses", _losses)

      # debugging, but breaks this "number of failures" counter because it's
      # different for repetitions of the same test. We use re.sub(r"0x\w+")
      # to remove it.
      key = re.sub(r"0x\w+", "", p.getparent().get("name", "")) + p.text
      if key in seen:
        testsuite._elem.remove(p.getparent())
      seen[key] += 1
    # Remove this testsuite if it doesn't have anything in it any more

setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name("tf_keras.api._v1.keras")
else:
  _module_dir = _module_util.get_parent_dir_for_name("keras.api._v1.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__

    logging.info("Try to import packages at runtime...")
    for package_name in self.api_packages_v2:
      # Convert package name to the short version:
      # tensorflow._api.v2.distribute.experimental to
      # tensorflow.distribute.experimental
      short_package_name = package_name.replace(f"_api.{version}.", "")
      # skip non-importable paths
      if short_package_name not in self.packages_for_skip:
        try: