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

examples/legacy/pytorch-lightning/lightning_base.py

@@ -69,7 +69,7 @@ class BaseTransformer(pl.LightningModule):
         config=None,
         tokenizer=None,
         model=None,
-        **config_kwargs
+        **config_kwargs,
     ):
         """Initialize a model, tokenizer and config."""
         super().__init__()
@@ -346,7 +346,7 @@ def generic_train(
     extra_callbacks=[],
     checkpoint_callback=None,
     logging_callback=None,
-    **extra_train_kwargs
+    **extra_train_kwargs,
 ):
     pl.seed_everything(args.seed)
 

examples/legacy/pytorch-lightning/run_glue.py

@@ -7,21 +7,19 @@ from argparse import Namespace
 
 import numpy as np
 import torch
+from lightning_base import BaseTransformer, add_generic_args, generic_train
 from torch.utils.data import DataLoader, TensorDataset
 
-from lightning_base import BaseTransformer, add_generic_args, generic_train
 from transformers import glue_compute_metrics as compute_metrics
 from transformers import glue_convert_examples_to_features as convert_examples_to_features
-from transformers import glue_output_modes
+from transformers import glue_output_modes, glue_tasks_num_labels
 from transformers import glue_processors as processors
-from transformers import glue_tasks_num_labels
 
 
 logger = logging.getLogger(__name__)
 
 
 class GLUETransformer(BaseTransformer):
-
     mode = "sequence-classification"
 
     def __init__(self, hparams):

examples/legacy/pytorch-lightning/run_ner.py

@@ -7,11 +7,10 @@ from importlib import import_module
 
 import numpy as np
 import torch
+from lightning_base import BaseTransformer, add_generic_args, generic_train
 from seqeval.metrics import accuracy_score, f1_score, precision_score, recall_score
 from torch.nn import CrossEntropyLoss
 from torch.utils.data import DataLoader, TensorDataset
-
-from lightning_base import BaseTransformer, add_generic_args, generic_train
 from utils_ner import TokenClassificationTask