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/research_projects/bertabs/convert_bertabs_original_pytorch_checkpoint.py

@@ -24,9 +24,9 @@ import logging
 from collections import namedtuple
 
 import torch
-
 from model_bertabs import BertAbsSummarizer
 from models.model_builder import AbsSummarizer  # The authors' implementation
+
 from transformers import BertTokenizer
 
 

examples/research_projects/bertabs/modeling_bertabs.py

@@ -24,10 +24,10 @@ import math
 
 import numpy as np
 import torch
+from configuration_bertabs import BertAbsConfig
 from torch import nn
 from torch.nn.init import xavier_uniform_
 
-from configuration_bertabs import BertAbsConfig
 from transformers import BertConfig, BertModel, PreTrainedModel
 
 

examples/research_projects/bertabs/run_summarization.py

@@ -6,10 +6,10 @@ import sys
 from collections import namedtuple
 
 import torch
+from modeling_bertabs import BertAbs, build_predictor
 from torch.utils.data import DataLoader, SequentialSampler
 from tqdm import tqdm
 
-from modeling_bertabs import BertAbs, build_predictor
 from transformers import BertTokenizer
 
 from .utils_summarization import (
@@ -45,7 +45,6 @@ def evaluate(args):
         generated_summaries = []
 
         import nltk
-
         import rouge
 
         nltk.download("punkt")