                 input_shape=(4, 512))
  
  
  _PARAMS = ["partial", "bias"]
  _VALUES = [(0.0, False), (0.25, False), (0.5, True), (0.75, False), (1.0, True)]
  _IDS = [f"partial={v[0]}|bias={v[1]}[{get_backend().upper()}]" for v in _VALUES]
  
  
  @pytest.mark.parametrize(_PARAMS, _VALUES, ids=_IDS)
  def test_rms_normalization(partial, bias):  # pylint:disable=unused-argument
 
</s> remove         reader = imageio.get_reader(self._args.input_dir, "ffmpeg")
        for i, frame in enumerate(reader):
 </s> add         reader = imageio.get_reader(self._args.input_dir, "ffmpeg")  # type:ignore[arg-type]
        for i, frame in enumerate(cast(Iterator[np.ndarray], reader)): </s> remove         seen: dict[str, list[int]] = {}
 </s> add         seen: Dict[str, List[int]] = {} </s> remove             logger.trace("Loading video frame: '%s'", filename)  # type: ignore
 </s> add             logger.trace("Loading video frame: '%s'", filename)  # type:ignore[attr-defined] </s> remove                     logger.trace("Selected for redetection: '%s'", key)  # type: ignore
 </s> add                     logger.trace("Selected for redetection: '%s'",  # type:ignore[attr-defined]
                                 key) </s> remove         retval: list[str] = []
 </s> add         retval: List[str] = []
_VALUES = [(0.0, False), (0.25, False), (0.5, True), (0.75, False), (1.0, True)]  # type:ignore
                 input_shape=(4, 512))
  
  
  _PARAMS = ["partial", "bias"]
_VALUES = [(0.0, False), (0.25, False), (0.5, True), (0.75, False), (1.0, True)]  # type:ignore
  _IDS = [f"partial={v[0]}|bias={v[1]}[{get_backend().upper()}]" for v in _VALUES]
  
  
  @pytest.mark.parametrize(_PARAMS, _VALUES, ids=_IDS)
  def test_rms_normalization(partial, bias):  # pylint:disable=unused-argument
keep keep keep keep replace keep keep keep keep keep
 tests:
  - unit test: tools.alignments.media
  - Add mypy test
  - Typing fixes 
tests/lib/model/normalization_test.py