Cleanup quality (#21493)

* Remove mentions of flake8/isort

* Clean up inits

* Deall with all other inits

* Last special rule for dummy files

.gitignore

@@ -163,4 +163,7 @@ tags
 *.lock
 
 # DS_Store (MacOS)
-.DS_Store
+.DS_Store
\ No newline at end of file
+
+# ruff
+.ruff_cache
\ No newline at end of file

CONTRIBUTING.md

@@ -182,7 +182,7 @@ You'll need **[Python 3.7]((https://github.com/huggingface/transformers/blob/mai
    For more information about tests, check out the
    [Testing](https://huggingface.co/docs/transformers/testing) guide.
 
-   🤗 Transformers relies on `black` and `isort` to format its source code
+   🤗 Transformers relies on `black` and `ruff` to format its source code
    consistently. After you make changes, apply automatic style corrections and code verifications
    that can't be automated in one go with:
 
@@ -199,7 +199,7 @@ You'll need **[Python 3.7]((https://github.com/huggingface/transformers/blob/mai
    $ make style
    ```
 
-   🤗 Transformers also uses `flake8` and a few custom scripts to check for coding mistakes. Quality
+   🤗 Transformers also uses `ruff` and a few custom scripts to check for coding mistakes. Quality
    controls are run by the CI, but you can run the same checks with:
 
    ```bash

docs/source/en/add_new_model.mdx

@@ -24,7 +24,7 @@ Along the way, you'll:
 - get insights into open-source best practices
 - understand the design principles behind one of the most popular deep learning libraries
 - learn how to efficiently test large models
-- learn how to integrate Python utilities like `black`, `isort`, and `make fix-copies` to ensure clean and readable code
+- learn how to integrate Python utilities like `black`, `ruff`, and `make fix-copies` to ensure clean and readable code
 
 A Hugging Face team member will be available to help you along the way so you'll never be alone. 🤗 ❤️
 

docs/source/en/pr_checks.mdx

@@ -71,13 +71,13 @@ If you're interested in building or previewing the documentation locally, take a
 
 ## Code and documentation style
 
-Code formatting is applied to all the source files, the examples and the tests using `black` and `isort`. We also have a custom tool taking care of the formatting of docstrings and `rst` files (`utils/style_doc.py`), as well as the order of the lazy imports performed in the Transformers `__init__.py` files (`utils/custom_init_isort.py`). All of this can be launched by executing
+Code formatting is applied to all the source files, the examples and the tests using `black` and `ruff`. We also have a custom tool taking care of the formatting of docstrings and `rst` files (`utils/style_doc.py`), as well as the order of the lazy imports performed in the Transformers `__init__.py` files (`utils/custom_init_isort.py`). All of this can be launched by executing
 
 ```bash
 make style
 ```
 
-The CI checks those have been applied inside the `ci/circleci: check_code_quality` check. It also runs `flake8`, that will have a basic look at your code and will complain if it finds an undefined variable, or one that is not used. To run that check locally, use
+The CI checks those have been applied inside the `ci/circleci: check_code_quality` check. It also runs `ruff`, that will have a basic look at your code and will complain if it finds an undefined variable, or one that is not used. To run that check locally, use
 
 ```bash
 make quality

docs/source/es/pr_checks.mdx

@@ -71,13 +71,13 @@ Si estás interesado en compilar u obtener una vista previa de la documentación
 
 ## Estilo de código y documentación.
 
-El formato de código se aplica a todos los archivos fuente, los ejemplos y las pruebas utilizando `black` e `isort`. También tenemos una herramienta personalizada que se ocupa del formato de los _docstrings_ y archivos `rst` (`utils/style_doc.py`), así como del orden de las importaciones _lazy_ realizadas en los archivos `__init__.py` de Transformers (`utils /custom_init_isort.py`). Todo esto se puede probar ejecutando
+El formato de código se aplica a todos los archivos fuente, los ejemplos y las pruebas utilizando `black` e `ruff`. También tenemos una herramienta personalizada que se ocupa del formato de los _docstrings_ y archivos `rst` (`utils/style_doc.py`), así como del orden de las importaciones _lazy_ realizadas en los archivos `__init__.py` de Transformers (`utils /custom_init_isort.py`). Todo esto se puede probar ejecutando
 
 ```bash
 make style
 ```
 
-CI verifica que se hayan aplicado dentro de la verificación `ci/circleci: check_code_quality`. También se ejecuta `flake8`, que hará una verificación básica a tu código y te hará saber si encuentra una variable no definida, o una que no se usa. Para ejecutar esa verificación localmente, usa
+CI verifica que se hayan aplicado dentro de la verificación `ci/circleci: check_code_quality`. También se ejecuta `ruff`, que hará una verificación básica a tu código y te hará saber si encuentra una variable no definida, o una que no se usa. Para ejecutar esa verificación localmente, usa
 
 ```bash
 make quality

docs/source/it/add_new_model.mdx

@@ -28,7 +28,7 @@ sarai l'artefice di un importante contributo open-source a 🤗 Transformers. Du
 - ottenere più comprensione delle best practices in open-source
 - capire i principi di design di una della librerie NLP più popolari 
 - capire come efficientemente testare complessi modelli NLP
-- capire come integrare utilit Python come `black`, `isort`, `make fix-copies` in una libreria per garantire sempre di avere un codice leggibile e pulito 
+- capire come integrare utilit Python come `black`, `ruff`, `make fix-copies` in una libreria per garantire sempre di avere un codice leggibile e pulito 
 
 Siamo anche contenti se vuoi aggiungere un modello che non può essere trovato nella cartella “calls-for-model-addition”. 
 Le seguenti sezioni spiegano in dettaglio come aggiungere un nuovo modello. Può anche essere molto utile controllare modelli

examples/research_projects/movement-pruning/emmental/__init__.py

-# flake8: noqa
 from .configuration_bert_masked import MaskedBertConfig
 from .modeling_bert_masked import (
     MaskedBertForMultipleChoice,

examples/research_projects/movement-pruning/emmental/modules/__init__.py

-# flake8: noqa
 from .binarizer import MagnitudeBinarizer, ThresholdBinarizer, TopKBinarizer
 from .masked_nn import MaskedLinear

pyproject.toml

@@ -8,6 +8,12 @@ ignore = ["E501", "E741", "W605"]
 select = ["E", "F", "I", "W"]
 line-length = 119
 
+# Ignore import violations in all `__init__.py` files.
+[tool.ruff.per-file-ignores]
+"__init__.py" = ["E402", "F401", "F403", "F811"]
+"src/transformers/file_utils.py" = ["F401"]
+"src/transformers/utils/dummy_*.py" = ["F401"]
+
 [tool.ruff.isort]
 lines-after-imports = 2
 known-first-party = ["transformers"]

src/transformers/__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");

src/transformers/data/__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");

src/transformers/data/datasets/__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");

src/transformers/data/metrics/__init__.py

-# coding=utf-8
-# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
-# Copyright (c) 2018, NVIDIA CORPORATION.  All rights reserved.
-#
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at

src/transformers/data/processors/__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");

src/transformers/file_utils.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");

src/transformers/generation/__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 2022 The HuggingFace Team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");

src/transformers/models/__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");

src/transformers/models/albert/__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");

src/transformers/models/altclip/__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 OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
 
 

src/transformers/models/audio_spectrogram_transformer/__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 2021 The HuggingFace Team. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");