              Fixture for mocking loader specific calls
          """
          media_loader = media_loader_instance
          expected = np.random.rand(256, 256, 3)
          media_loader.load_video_frame = cast(MagicMock,  # type:ignore
                                               mocker.MagicMock(return_value=expected))
          read_image_patch = mocker.patch("tools.alignments.media.read_image", return_value=expected)
          filename = "test.png"
          output = media_loader.load_image(filename)
          np.testing.assert_equal(expected, output)
          read_image_patch.assert_called_once_with(os.path.join(media_loader.folder, filename),
 
</s> remove         media_loader._vid_reader = cast(MagicMock,  vid_cap)  # type:ignore
 </s> add         media_loader._vid_reader = T.cast(MagicMock,  vid_cap)  # type:ignore </s> remove         faces.get_faces = cast(MagicMock, mocker.MagicMock())  # type:ignore
 </s> add         faces.get_faces = T.cast(MagicMock, mocker.MagicMock())  # type:ignore </s> remove         data: List[Tuple[str, dict]] = [("file4.png", {}), ("file3.png", {}),
 </s> add         data: list[tuple[str, dict]] = [("file4.png", {}), ("file3.png", {}), </s> remove         faces.get_faces = cast(MagicMock, mocker.MagicMock())  # type:ignore
 </s> add         faces.get_faces = T.cast(MagicMock, mocker.MagicMock())  # type:ignore </s> remove         f_display._crop_source_faces = cast(MagicMock, mocker.MagicMock())  # type:ignore
        f_display._crop_destination_faces = cast(MagicMock, mocker.MagicMock())  # type:ignore
 </s> add         f_display._crop_source_faces = T.cast(MagicMock, mocker.MagicMock())  # type:ignore
        f_display._crop_destination_faces = T.cast(MagicMock, mocker.MagicMock())  # type:ignore
        media_loader.load_video_frame = T.cast(MagicMock,  # type:ignore
                                               mocker.MagicMock(return_value=expected))
              Fixture for mocking loader specific calls
          """
          media_loader = media_loader_instance
          expected = np.random.rand(256, 256, 3)
        media_loader.load_video_frame = T.cast(MagicMock,  # type:ignore
                                               mocker.MagicMock(return_value=expected))
        media_loader.load_video_frame = T.cast(MagicMock,  # type:ignore
                                               mocker.MagicMock(return_value=expected))
          read_image_patch = mocker.patch("tools.alignments.media.read_image", return_value=expected)
          filename = "test.png"
          output = media_loader.load_image(filename)
          np.testing.assert_equal(expected, output)
          read_image_patch.assert_called_once_with(os.path.join(media_loader.folder, filename),
keep keep keep keep replace replace keep keep keep keep keep
 Rebase code (#1326)

* Remove tensorflow_probability requirement

* setup.py - fix progress bars

* requirements.txt: Remove pre python 3.9 packages

* update apple requirements.txt

* update INSTALL.md

* Remove python<3.9 code

* setup.py - fix Windows Installer

* typing: python3.9 compliant

* Update pytest and readthedocs python versions

* typing fixes

* Python Version updates
  - Reduce max version to 3.10
  - Default to 3.10 in installers
  - Remove incompatible 3.11 tests

* Update dependencies

* Downgrade imageio dep for Windows

* typing: merge optional unions and fixes

* Updates
  - min python version 3.10
  - typing to python 3.10 spec
  - remove pre-tf2.10 code
  - Add conda tests

* train: re-enable optimizer saving

* Update dockerfiles

* Update setup.py
  - Apple Conda deps to setup.py
  - Better Cuda + dependency handling

* bugfix: Patch logging to prevent Autograph errors

* Update dockerfiles

* Setup.py - Setup.py - stdout to utf-8

* Add more OSes to github Actions

* suppress mac-os end to end test 
tests/tools/alignments/media_test.py