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/generation/test_configuration_utils.py

@@ -20,6 +20,7 @@ import unittest
 from huggingface_hub import HfFolder, delete_repo, set_access_token
 from parameterized import parameterized
 from requests.exceptions import HTTPError
+
 from transformers import AutoConfig, GenerationConfig
 from transformers.testing_utils import TOKEN, USER, is_staging_test
 

tests/generation/test_flax_logits_process.py

@@ -27,6 +27,7 @@ from ..test_modeling_flax_common import ids_tensor
 if is_flax_available():
     import jax
     import jax.numpy as jnp
+
     from transformers.generation import (
         FlaxForcedBOSTokenLogitsProcessor,
         FlaxForcedEOSTokenLogitsProcessor,

tests/generation/test_flax_utils.py

@@ -27,6 +27,7 @@ if is_flax_available():
 
     import jax.numpy as jnp
     from jax import jit
+
     from transformers import AutoTokenizer, FlaxAutoModelForCausalLM
     from transformers.modeling_flax_pytorch_utils import load_flax_weights_in_pytorch_model
 

tests/generation/test_framework_agnostic.py

@@ -8,7 +8,6 @@ from transformers import AutoTokenizer
 
 
 class GenerationIntegrationTestsMixin:
-
     # To be populated by the child classes
     framework_dependent_parameters = {
         "AutoModelForSeq2SeqLM": None,

tests/generation/test_tf_logits_process.py

@@ -17,8 +17,8 @@
 import unittest
 
 import numpy as np
-
 from parameterized import parameterized
+
 from transformers import is_tf_available
 from transformers.testing_utils import require_tf
 

tests/generation/test_tf_utils.py

@@ -36,7 +36,6 @@ if is_tf_available():
 
 @require_tf
 class UtilsFunctionsTest(unittest.TestCase):
-
     # tests whether the top_k_top_p_filtering function behaves as expected
     def test_top_k_top_p_filtering(self):
         logits = tf.convert_to_tensor(
@@ -133,7 +132,6 @@ class UtilsFunctionsTest(unittest.TestCase):
 
 @require_tf
 class TFGenerationIntegrationTests(unittest.TestCase, GenerationIntegrationTestsMixin):
-
     # setting framework_dependent_parameters needs to be gated, just like its contents' imports
     if is_tf_available():
         framework_dependent_parameters = {

tests/generation/test_utils.py

@@ -1413,7 +1413,6 @@ class GenerationTesterMixin:
     def test_contrastive_generate(self):
         # check `generate()` and `contrastive_search()` are equal
         for model_class in self.all_generative_model_classes:
-
             # won't fix: FSMT and Reformer have a different cache variable type (and format).
             if any(model_name in model_class.__name__.lower() for model_name in ["fsmt", "reformer"]):
                 return
@@ -1435,7 +1434,6 @@ class GenerationTesterMixin:
 
     def test_contrastive_generate_dict_outputs_use_cache(self):
         for model_class in self.all_generative_model_classes:
-
             # won't fix: FSMT and Reformer have a different cache variable type (and format).
             if any(model_name in model_class.__name__.lower() for model_name in ["fsmt", "reformer"]):
                 return
@@ -1661,7 +1659,6 @@ class GenerationTesterMixin:
 
 @require_torch
 class UtilsFunctionsTest(unittest.TestCase):
-
     # tests whether the top_k_top_p function behaves as expected
     def test_top_k_top_p_filtering(self):
         logits = torch.tensor(
@@ -1792,7 +1789,6 @@ class UtilsFunctionsTest(unittest.TestCase):
 
 @require_torch
 class GenerationIntegrationTests(unittest.TestCase, GenerationIntegrationTestsMixin):
-
     # setting framework_dependent_parameters needs to be gated, just like its contents' imports
     if is_torch_available():
         framework_dependent_parameters = {