                             f"{idx:03d}_{int(names[idx])}"
                             f"degs_to_{int(names[idx + 1])}degs"
                             for idx in range(self._num_bins)]
  
          bins: List[List[str]] = [[] for _ in range(self._num_bins)]
          for filename, result in self._result:
              result = np.clip(result, -90.0, 90.0)
              bin_idx = next(bin_id for bin_id, thresh in enumerate(thresholds)
                             if result >= thresh) - 1
              bins[bin_idx].append(filename)
 
</s> remove         bins: List[List[str]] = [[] for _ in range(self._num_bins)]
 </s> add         bins: list[list[str]] = [[] for _ in range(self._num_bins)] </s> remove         bins: List[List[str]] = [[] for _ in range(self._num_bins)]
 </s> add         bins: list[list[str]] = [[] for _ in range(self._num_bins)] </s> remove         bins: List[List[str]] = [[] for _ in range(num_bins)]
 </s> add         bins: list[list[str]] = [[] for _ in range(num_bins)] </s> remove         data = [(f"file{idx}.png", dict(source=dict(source_filename=f"src{idx // 2}.png",
                                                    face_index=0 if idx % 2 == 0 else 1)))
 </s> add         data = [(f"file{idx}.png", {"source": {"source_filename": f"src{idx // 2}.png",
                                               "face_index": 0 if idx % 2 == 0 else 1}}) </s> remove         data = [(f"file{idx}.png", dict(source=dict(source_filename=f"src{idx}.png",
                                                    face_index=0)))
 </s> add         data = [(f"file{idx}.png", {"source": {"source_filename": f"src{idx}.png",
                                               "face_index": 0}})
        bins: list[list[str]] = [[] for _ in range(self._num_bins)]
                             f"{idx:03d}_{int(names[idx])}"
                             f"degs_to_{int(names[idx + 1])}degs"
                             for idx in range(self._num_bins)]
  
        bins: list[list[str]] = [[] for _ in range(self._num_bins)]
          for filename, result in self._result:
              result = np.clip(result, -90.0, 90.0)
              bin_idx = next(bin_id for bin_id, thresh in enumerate(thresholds)
                             if result >= thresh) - 1
              bins[bin_idx].append(filename)
keep keep keep keep 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 
tools/sort/sort_methods_aligned.py