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/clipseg/test_modeling_clipseg.py

@@ -21,8 +21,8 @@ import tempfile
 import unittest
 
 import numpy as np
-
 import requests
+
 import transformers
 from transformers import MODEL_MAPPING, CLIPSegConfig, CLIPSegProcessor, CLIPSegTextConfig, CLIPSegVisionConfig
 from transformers.models.auto import get_values
@@ -60,6 +60,7 @@ 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,
@@ -302,7 +303,6 @@ class CLIPSegTextModelTester:
 
 @require_torch
 class CLIPSegTextModelTest(ModelTesterMixin, unittest.TestCase):
-
     all_model_classes = (CLIPSegTextModel,) if is_torch_available() else ()
     fx_compatible = False
     test_pruning = False
@@ -346,7 +346,6 @@ class CLIPSegTextModelTest(ModelTesterMixin, unittest.TestCase):
 
 class CLIPSegModelTester:
     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:
@@ -560,7 +559,6 @@ class CLIPSegModelTest(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.