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/test_modeling_common.py

@@ -30,11 +30,11 @@ from pathlib import Path
 from typing import Dict, List, Tuple
 
 import numpy as np
-
-import transformers
 from huggingface_hub import HfFolder, delete_repo, set_access_token
 from huggingface_hub.file_download import http_get
 from requests.exceptions import HTTPError
+
+import transformers
 from transformers import (
     AutoConfig,
     AutoModel,
@@ -108,9 +108,9 @@ if is_accelerate_available():
 
 if is_torch_available():
     import torch
+    from test_module.custom_modeling import CustomModel, NoSuperInitModel
     from torch import nn
 
-    from test_module.custom_modeling import CustomModel, NoSuperInitModel
     from transformers import (
         BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
         MODEL_MAPPING,
@@ -160,6 +160,7 @@ if is_tf_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,
@@ -183,7 +184,6 @@ TINY_BERT_FOR_TOKEN_CLASSIFICATION = "hf-internal-testing/tiny-bert-for-token-cl
 
 @require_torch
 class ModelTesterMixin:
-
     model_tester = None
     all_model_classes = ()
     all_generative_model_classes = ()
@@ -417,7 +417,6 @@ class ModelTesterMixin:
             base_class = base_class[0]
 
         for model_class in self.all_model_classes:
-
             if model_class == base_class:
                 continue
 
@@ -706,7 +705,6 @@ class ModelTesterMixin:
 
     # This is copied from `torch/testing/_internal/jit_utils.py::clear_class_registry`
     def clear_torch_jit_class_registry(self):
-
         torch._C._jit_clear_class_registry()
         torch.jit._recursive.concrete_type_store = torch.jit._recursive.ConcreteTypeStore()
         # torch 1.8 has no `_clear_class_state` in `torch.jit._state`
@@ -1512,7 +1510,6 @@ class ModelTesterMixin:
             base_model_prefix = model.base_model_prefix
 
             if hasattr(model, base_model_prefix):
-
                 extra_params = {k: v for k, v in model.named_parameters() if not k.startswith(base_model_prefix)}
                 extra_params.update({k: v for k, v in model.named_buffers() if not k.startswith(base_model_prefix)})
                 # Some models define this as None
@@ -1854,7 +1851,6 @@ class ModelTesterMixin:
             )
 
     def prepare_tf_inputs_from_pt_inputs(self, pt_inputs_dict):
-
         tf_inputs_dict = {}
         for key, tensor in pt_inputs_dict.items():
             # skip key that does not exist in tf
@@ -1875,7 +1871,6 @@ class ModelTesterMixin:
         return tf_inputs_dict
 
     def check_pt_tf_models(self, tf_model, pt_model, pt_inputs_dict):
-
         tf_inputs_dict = self.prepare_tf_inputs_from_pt_inputs(pt_inputs_dict)
 
         # send pytorch inputs to the correct device
@@ -1907,7 +1902,6 @@ class ModelTesterMixin:
         import transformers
 
         for model_class in self.all_model_classes:
-
             config, inputs_dict = self.model_tester.prepare_config_and_inputs_for_common()
 
             tf_model_class_name = "TF" + model_class.__name__  # Add the "TF" at the beginning
@@ -2544,7 +2538,6 @@ class ModelTesterMixin:
 
             for problem_type in problem_types:
                 with self.subTest(msg=f"Testing {model_class} with {problem_type['title']}"):
-
                     config.problem_type = problem_type["title"]
                     config.num_labels = problem_type["num_labels"]