Update quality tooling for formatting (#21480)

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

tests/models/clip/test_image_processing_clip.py

@@ -114,7 +114,6 @@ class CLIPImageProcessingTester(unittest.TestCase):
 @require_torch
 @require_vision
 class CLIPImageProcessingTest(ImageProcessingSavingTestMixin, unittest.TestCase):
-
     image_processing_class = CLIPImageProcessor if is_vision_available() else None
 
     def setUp(self):
@@ -247,7 +246,6 @@ class CLIPImageProcessingTest(ImageProcessingSavingTestMixin, unittest.TestCase)
 @require_torch
 @require_vision
 class CLIPImageProcessingTestFourChannels(ImageProcessingSavingTestMixin, unittest.TestCase):
-
     image_processing_class = CLIPImageProcessor if is_vision_available() else None
 
     def setUp(self):

tests/models/clip/test_modeling_clip.py

@@ -21,8 +21,8 @@ import tempfile
 import unittest
 
 import numpy as np
-
 import requests
+
 import transformers
 from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig
 from transformers.testing_utils import (
@@ -67,6 +67,7 @@ if is_vision_available():
 
 if is_flax_available():
     import jax.numpy as jnp
+
     from transformers.modeling_flax_pytorch_utils import (
         convert_pytorch_state_dict_to_flax,
         load_flax_weights_in_pytorch_model,
@@ -347,7 +348,6 @@ class CLIPTextModelTester:
 
 @require_torch
 class CLIPTextModelTest(ModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (CLIPTextModel, CLIPTextModelWithProjection) if is_torch_available() else ()
     fx_compatible = True
     test_pruning = False
@@ -402,7 +402,6 @@ class CLIPTextModelTest(ModelTesterMixin, unittest.TestCase):
 
 class CLIPModelTester:
     def __init__(self, parent, text_kwargs=None, vision_kwargs=None, is_training=True):
-
         if text_kwargs is None:
             text_kwargs = {}
         if vision_kwargs is None:
@@ -579,7 +578,6 @@ class CLIPModelTest(ModelTesterMixin, unittest.TestCase):
 
         for model_class in self.all_model_classes:
             with self.subTest(model_class.__name__):
-
                 # load PyTorch class
                 pt_model = model_class(config).eval()
                 # Flax models don't use the `use_cache` option and cache is not returned as a default.

tests/models/clip/test_modeling_flax_clip.py

@@ -14,6 +14,7 @@ from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, id
 if is_flax_available():
     import jax
     import jax.numpy as jnp
+
     from transformers.modeling_flax_pytorch_utils import (
         convert_pytorch_state_dict_to_flax,
         load_flax_weights_in_pytorch_model,

tests/models/clip/test_modeling_tf_clip.py

@@ -22,6 +22,7 @@ import unittest
 from importlib import import_module
 
 import requests
+
 from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig
 from transformers.testing_utils import require_tf, require_vision, slow
 from transformers.utils import is_tf_available, is_vision_available
@@ -396,7 +397,6 @@ class TFCLIPTextModelTester:
 
 @require_tf
 class TFCLIPTextModelTest(TFModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (TFCLIPTextModel,) if is_tf_available() else ()
     test_pruning = False
     test_head_masking = False

tests/models/clip/test_tokenization_clip.py

@@ -27,7 +27,6 @@ from ...test_tokenization_common import TokenizerTesterMixin
 
 @require_tokenizers
 class CLIPTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
-
     tokenizer_class = CLIPTokenizer
     rust_tokenizer_class = CLIPTokenizerFast
     test_rust_tokenizer = True