Cleanup quality (#21493)

* Remove mentions of flake8/isort

* Clean up inits

* Deall with all other inits

* Last special rule for dummy files

src/transformers/utils/__init__.py

 #!/usr/bin/env python
 # coding=utf-8
 
-# flake8: noqa
-# There's no way to ignore "F401 '...' imported but unused" warnings in this
-# module, but to preserve other warnings. So, don't check this module at all.
-
 # Copyright 2021 The HuggingFace Inc. team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");

src/transformers/utils/dummy_flax_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_keras_nlp_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_pt_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_sentencepiece_and_speech_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_sentencepiece_and_tokenizers_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_sentencepiece_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_speech_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_tensorflow_text_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_tf_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_timm_and_vision_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_tokenizers_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/dummy_vision_objects.py

 # This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

src/transformers/utils/sentencepiece_model_pb2.py

-# flake8: noqa
 # Generated by the protocol buffer compiler.  DO NOT EDIT!
 # source: sentencepiece_model.proto
 

templates/adding_a_new_model/ADD_NEW_MODEL_PROPOSAL_TEMPLATE.md

@@ -43,7 +43,7 @@ open-source contribution to Transformers. Along the way, you will:
 -   understand the design principles of one of the most popular NLP
     libraries
 -   learn how to do efficiently test large NLP models
--   learn how to integrate Python utilities like `black`, `isort`,
+-   learn how to integrate Python utilities like `black`, `ruff`,
     `make fix-copies` into a library to always ensure clean and readable
     code
 

templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/__init__.py

-# flake8: noqa
-# There's no way to ignore "F401 '...' imported but unused" warnings in this
-# module, but to preserve other warnings. So, don't check this module at all.
-
 # Copyright 2020 The HuggingFace Team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
@@ -17,7 +13,6 @@
 # limitations under the License.
 from typing import TYPE_CHECKING
 
-# rely on isort to merge the imports
 from ...utils import  _LazyModule, OptionalDependencyNotAvailable, is_tokenizers_available
 
 

templates/adding_a_new_model/open_model_proposals/ADD_BIG_BIRD.md

@@ -25,7 +25,7 @@ open-source contribution to Transformers. Along the way, you will:
 -   understand the design principles of one of the most popular NLP
     libraries
 -   learn how to do efficiently test large NLP models
--   learn how to integrate Python utilities like `black`, `isort`,
+-   learn how to integrate Python utilities like `black`, `ruff`,
     `make fix-copies` into a library to always ensure clean and readable
     code
 

tests/repo_utils/test_check_dummies.py

@@ -106,7 +106,6 @@ class FakeClass(metaclass=DummyObject):
 
     def test_create_dummy_files(self):
         expected_dummy_pytorch_file = """# This file is autogenerated by the command `make fix-copies`, do not edit.
-# flake8: noqa
 from ..utils import DummyObject, requires_backends
 
 

tests/test_tokenization_common.py

@@ -2469,7 +2469,7 @@ class TokenizerTesterMixin:
                 batch_encoded_sequence = tokenizer.batch_encode_plus([sequence, sequence], return_tensors="np")
 
                 # TODO: add forward through JAX/Flax when PR is merged
-                # This is currently here to make flake8 happy !
+                # This is currently here to make ruff happy !
                 if encoded_sequence is None:
                     raise ValueError("Cannot convert list to numpy tensor on  encode_plus()")
 
@@ -2484,7 +2484,7 @@ class TokenizerTesterMixin:
                     )
 
                     # TODO: add forward through JAX/Flax when PR is merged
-                    # This is currently here to make flake8 happy !
+                    # This is currently here to make ruff happy !
                     if encoded_sequence_fast is None:
                         raise ValueError("Cannot convert list to numpy tensor on  encode_plus() (fast)")
 

utils/check_dummies.py

@@ -115,7 +115,6 @@ def create_dummy_files(backend_specific_objects=None):
     for backend, objects in backend_specific_objects.items():
         backend_name = "[" + ", ".join(f'"{b}"' for b in backend.split("_and_")) + "]"
         dummy_file = "# This file is autogenerated by the command `make fix-copies`, do not edit.\n"
-        dummy_file += "# flake8: noqa\n"
         dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
         dummy_file += "\n".join([create_dummy_object(o, backend_name) for o in objects])
         dummy_files[backend] = dummy_file