[Styling] stylify using ruff (#27144)

* try to stylify using ruff

* might need to remove these changes?

* use ruf format andruff check

* use isinstance instead of type comparision

* use # fmt: skip

* use # fmt: skip

* nits

* soem styling changes

* update ci job

* nits isinstance

* more files update

* nits

* more nits

* small nits

* check and format

* revert wrong changes

* actually use formatter instead of checker

* nits

* well docbuilder is overwriting this commit

* revert notebook changes

* try to nuke docbuilder

* style

* fix feature exrtaction test

* remve `indent-width = 4`

* fixup

* more nits

* update the ruff version that we use

* style

* nuke docbuilder styling

* leve the print for detected changes

* nits

* Remove file I/O

Co-authored-by: charliermarsh
 <charlie.r.marsh@gmail.com>

* style

* nits

* revert notebook changes

* Add # fmt skip when possible

* Add # fmt skip when possible

* Fix

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* NIts

* more fixes

* fix tapas

* Another way to skip

* Recommended way

* Fix two more fiels

* Remove asynch
Remove asynch

---------

Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

tests/models/encoder_decoder/test_modeling_tf_encoder_decoder.py

@@ -474,7 +474,7 @@ class TFEncoderDecoderMixin:
     def prepare_pt_inputs_from_tf_inputs(self, tf_inputs_dict):
         pt_inputs_dict = {}
         for name, key in tf_inputs_dict.items():
-            if type(key) == bool:
+            if isinstance(key, bool):
                 pt_inputs_dict[name] = key
             elif name == "input_values":
                 pt_inputs_dict[name] = torch.from_numpy(key.numpy()).to(torch.float32)