update ruff version (#30932)

* update ruff version

* fix research projects

* Empty

* Fix errors

---------

Co-authored-by: Lysandre <lysandre@huggingface.co>

Makefile

@@ -5,7 +5,7 @@ export PYTHONPATH = src
 
 check_dirs := examples tests src utils
 
-exclude_folders := examples/research_projects
+exclude_folders :=  ""
 
 modified_only_fixup:
 	$(eval modified_py_files := $(shell python utils/get_modified_files.py $(check_dirs)))

examples/flax/language-modeling/run_mlm_flax.py

@@ -20,6 +20,7 @@ text file or a dataset.
 Here is the full list of checkpoints on the hub that can be fine-tuned by this script:
 https://huggingface.co/models?filter=fill-mask
 """
+
 import json
 import logging
 import math

examples/flax/language-modeling/run_t5_mlm_flax.py

@@ -19,6 +19,7 @@ Pretraining the library models for T5-like span-masked language modeling on a te
 Here is the full list of checkpoints on the hub that can be pretrained by this script:
 https://huggingface.co/models?filter=t5
 """
+
 import json
 import logging
 import math

examples/flax/question-answering/utils_qa.py

@@ -15,6 +15,7 @@
 """
 Post-processing utilities for question answering.
 """
+
 import collections
 import json
 import logging

examples/flax/text-classification/run_flax_glue.py

@@ -13,7 +13,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning a 🤗 Flax Transformers model for sequence classification on GLUE."""
+"""Finetuning a 🤗 Flax Transformers model for sequence classification on GLUE."""
+
 import json
 import logging
 import math

examples/flax/token-classification/run_flax_ner.py

@@ -13,7 +13,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Fine-tuning a 🤗 Flax Transformers model on token classification tasks (NER, POS, CHUNKS)"""
+"""Fine-tuning a 🤗 Flax Transformers model on token classification tasks (NER, POS, CHUNKS)"""
+
 import json
 import logging
 import math

examples/legacy/benchmarking/plot_csv_file.py

@@ -93,14 +93,14 @@ class Plot:
                 self.result_dict[model_name]["seq_len"].append(int(row["sequence_length"]))
                 if can_convert_to_int(row["result"]):
                     # value is not None
-                    self.result_dict[model_name]["result"][
-                        (int(row["batch_size"]), int(row["sequence_length"]))
-                    ] = int(row["result"])
+                    self.result_dict[model_name]["result"][(int(row["batch_size"]), int(row["sequence_length"]))] = (
+                        int(row["result"])
+                    )
                 elif can_convert_to_float(row["result"]):
                     # value is not None
-                    self.result_dict[model_name]["result"][
-                        (int(row["batch_size"]), int(row["sequence_length"]))
-                    ] = float(row["result"])
+                    self.result_dict[model_name]["result"][(int(row["batch_size"]), int(row["sequence_length"]))] = (
+                        float(row["result"])
+                    )
 
     def plot(self):
         fig, ax = plt.subplots()

examples/legacy/benchmarking/run_benchmark.py

@@ -14,7 +14,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Benchmarking the library on inference and training """
+"""Benchmarking the library on inference and training"""
 
 from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments
 

examples/legacy/multiple_choice/run_multiple_choice.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for multiple choice (Bert, Roberta, XLNet)."""
-
+"""Finetuning the library models for multiple choice (Bert, Roberta, XLNet)."""
 
 import logging
 import os

examples/legacy/multiple_choice/utils_multiple_choice.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Multiple choice fine-tuning: utilities to work with multiple choice tasks of reading comprehension """
-
+"""Multiple choice fine-tuning: utilities to work with multiple choice tasks of reading comprehension"""
 
 import csv
 import glob

examples/legacy/question-answering/run_squad.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for question-answering on SQuAD (DistilBERT, Bert, XLM, XLNet)."""
-
+"""Finetuning the library models for question-answering on SQuAD (DistilBERT, Bert, XLM, XLNet)."""
 
 import argparse
 import glob

examples/legacy/question-answering/run_squad_trainer.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Fine-tuning the library models for question-answering."""
-
+"""Fine-tuning the library models for question-answering."""
 
 import logging
 import os

examples/legacy/run_language_modeling.py

@@ -20,7 +20,6 @@ GPT, GPT-2 and CTRL are fine-tuned using a causal language modeling (CLM) loss.
 using a masked language modeling (MLM) loss. XLNet is fine-tuned using a permutation language modeling (PLM) loss.
 """
 
-
 import logging
 import math
 import os

examples/legacy/run_openai_gpt.py

@@ -28,6 +28,7 @@
           --output_dir ../log \
           --train_batch_size 16 \
 """
+
 import argparse
 import csv
 import logging

examples/legacy/run_swag.py

@@ -15,10 +15,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """BERT finetuning runner.
-   Finetuning the library models for multiple choice on SWAG (Bert).
+Finetuning the library models for multiple choice on SWAG (Bert).
 """
 
-
 import argparse
 import csv
 import glob

examples/legacy/run_transfo_xl.py

@@ -14,14 +14,13 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" PyTorch Transformer XL model evaluation script.
-    Adapted from https://github.com/kimiyoung/transformer-xl.
-    In particular https://github.com/kimiyoung/transformer-xl/blob/master/pytorch/eval.py
+"""PyTorch Transformer XL model evaluation script.
+Adapted from https://github.com/kimiyoung/transformer-xl.
+In particular https://github.com/kimiyoung/transformer-xl/blob/master/pytorch/eval.py
 
-    This script with default values evaluates a pretrained Transformer-XL on WikiText 103
+This script with default values evaluates a pretrained Transformer-XL on WikiText 103
 """
 
-
 import argparse
 import logging
 import math

examples/legacy/seq2seq/xla_spawn.py

@@ -23,7 +23,6 @@ Inspired by https://github.com/pytorch/pytorch/blob/master/torch/distributed/lau
 
 """
 
-
 import importlib
 import sys
 from argparse import REMAINDER, ArgumentParser

examples/legacy/token-classification/run_ner.py

@@ -13,7 +13,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Fine-tuning the library models for named entity recognition on CoNLL-2003. """
+"""Fine-tuning the library models for named entity recognition on CoNLL-2003."""
+
 import logging
 import os
 import sys

examples/legacy/token-classification/utils_ner.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Named entity recognition fine-tuning: utilities to work with CoNLL-2003 task. """
-
+"""Named entity recognition fine-tuning: utilities to work with CoNLL-2003 task."""
 
 import logging
 import os

examples/pytorch/image-classification/run_image_classification_no_trainer.py

@@ -12,7 +12,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning any 🤗 Transformers model for image classification leveraging 🤗 Accelerate."""
+"""Finetuning any 🤗 Transformers model for image classification leveraging 🤗 Accelerate."""
+
 import argparse
 import json
 import logging

examples/pytorch/object-detection/run_object_detection_no_trainer.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning 🤗 Transformers model for object detection with Accelerate."""
+"""Finetuning 🤗 Transformers model for object detection with Accelerate."""
 
 import argparse
 import json

examples/pytorch/question-answering/trainer_qa.py

@@ -15,6 +15,7 @@
 """
 A subclass of `Trainer` specific to Question-Answering tasks
 """
+
 import math
 import time
 

examples/pytorch/question-answering/trainer_seq2seq_qa.py

@@ -15,6 +15,7 @@
 """
 A subclass of `Trainer` specific to Question-Answering tasks
 """
+
 import math
 import time
 from typing import Dict, List, Optional

examples/pytorch/question-answering/utils_qa.py

@@ -15,6 +15,7 @@
 """
 Post-processing utilities for question answering.
 """
+
 import collections
 import json
 import logging

examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning any 🤗 Transformers model supported by AutoModelForSemanticSegmentation for semantic segmentation."""
+"""Finetuning any 🤗 Transformers model supported by AutoModelForSemanticSegmentation for semantic segmentation."""
 
 import argparse
 import json

examples/pytorch/speech-pretraining/run_wav2vec2_pretraining_no_trainer.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 
-""" Pre-Training a 🤗 Wav2Vec2 model on unlabeled audio data """
+"""Pre-Training a 🤗 Wav2Vec2 model on unlabeled audio data"""
 
 import argparse
 import math

examples/pytorch/speech-recognition/run_speech_recognition_ctc.py

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-""" Fine-tuning a 🤗 Transformers CTC model for automatic speech recognition"""
+"""Fine-tuning a 🤗 Transformers CTC model for automatic speech recognition"""
 
 import functools
 import json

examples/pytorch/speech-recognition/run_speech_recognition_ctc_adapter.py

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-""" Fine-tuning a 🤗 Transformers CTC adapter model for automatic speech recognition"""
+"""Fine-tuning a 🤗 Transformers CTC adapter model for automatic speech recognition"""
 
 import functools
 import json

examples/pytorch/text-classification/run_classification.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for text classification."""
+"""Finetuning the library models for text classification."""
 # You can also adapt this script on your own text classification task. Pointers for this are left as comments.
 
 import logging

examples/pytorch/text-classification/run_glue.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for sequence classification on GLUE."""
+"""Finetuning the library models for sequence classification on GLUE."""
 # You can also adapt this script on your own text classification task. Pointers for this are left as comments.
 
 import logging

examples/pytorch/text-classification/run_glue_no_trainer.py

@@ -12,7 +12,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning a 🤗 Transformers model for sequence classification on GLUE."""
+"""Finetuning a 🤗 Transformers model for sequence classification on GLUE."""
+
 import argparse
 import json
 import logging

examples/pytorch/text-classification/run_xnli.py

@@ -14,8 +14,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning multi-lingual models on XNLI (e.g. Bert, DistilBERT, XLM).
-    Adapted from `examples/text-classification/run_glue.py`"""
+"""Finetuning multi-lingual models on XNLI (e.g. Bert, DistilBERT, XLM).
+Adapted from `examples/text-classification/run_glue.py`"""
 
 import logging
 import os

examples/pytorch/text-generation/run_generation.py

@@ -14,9 +14,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Conditional text generation with the auto-regressive models of the library (GPT/GPT-2/CTRL/Transformer-XL/XLNet)
-"""
-
+"""Conditional text generation with the auto-regressive models of the library (GPT/GPT-2/CTRL/Transformer-XL/XLNet)"""
 
 import argparse
 import inspect

examples/pytorch/text-generation/run_generation_contrastive_search.py

@@ -13,13 +13,12 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" The examples of running contrastive search on the auto-APIs;
+"""The examples of running contrastive search on the auto-APIs;
 
 Running this example:
 python run_generation_contrastive_search.py --model_name_or_path=openai-community/gpt2-large --penalty_alpha=0.6 --k=4 --length=256
 """
 
-
 import argparse
 import logging
 

examples/pytorch/xla_spawn.py

@@ -23,7 +23,6 @@ Inspired by https://github.com/pytorch/pytorch/blob/master/torch/distributed/lau
 
 """
 
-
 import importlib
 import sys
 from argparse import REMAINDER, ArgumentParser

examples/research_projects/adversarial/run_hans.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for sequence classification on HANS."""
+"""Finetuning the library models for sequence classification on HANS."""
 
 import logging
 import os

examples/research_projects/bert-loses-patience/pabee/modeling_pabee_albert.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""PyTorch ALBERT model with Patience-based Early Exit. """
+"""PyTorch ALBERT model with Patience-based Early Exit."""
 
 import logging
 

examples/research_projects/bert-loses-patience/pabee/modeling_pabee_bert.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""PyTorch BERT model with Patience-based Early Exit. """
-
+"""PyTorch BERT model with Patience-based Early Exit."""
 
 import logging
 

examples/research_projects/bert-loses-patience/run_glue_with_pabee.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Training and inference using the library models for sequence classification on GLUE (Bert, Albert) with PABEE."""
-
+"""Training and inference using the library models for sequence classification on GLUE (Bert, Albert) with PABEE."""
 
 import argparse
 import glob

examples/research_projects/bertabs/configuration_bertabs.py

@@ -13,7 +13,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" BertAbs configuration """
+"""BertAbs configuration"""
+
 import logging
 
 from transformers import PretrainedConfig

examples/research_projects/bertabs/convert_bertabs_original_pytorch_checkpoint.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Convert BertExtAbs's checkpoints.
+"""Convert BertExtAbs's checkpoints.
 
 The script looks like it is doing something trivial but it is not. The "weights"
 proposed by the authors are actually the entire model pickled. We need to load

examples/research_projects/bertology/run_bertology.py

@@ -12,13 +12,14 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Bertology: this script shows how you can explore the internals of the models in the library to:
-    - compute the entropy of the head attentions
-    - compute the importance of each head
-    - prune (remove) the low importance head.
-    Some parts of this script are adapted from the code of Michel et al. (http://arxiv.org/abs/1905.10650)
-    which is available at https://github.com/pmichel31415/are-16-heads-really-better-than-1
+"""Bertology: this script shows how you can explore the internals of the models in the library to:
+- compute the entropy of the head attentions
+- compute the importance of each head
+- prune (remove) the low importance head.
+Some parts of this script are adapted from the code of Michel et al. (http://arxiv.org/abs/1905.10650)
+which is available at https://github.com/pmichel31415/are-16-heads-really-better-than-1
 """
+
 import argparse
 import logging
 import os

examples/research_projects/bertology/run_prune_gpt.py

@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-""" This script is adapted from the Bertology pruning code (https://github.com/huggingface/transformers/blob/783d7d2629e97c5f0c5f9ef01b8c66410275c204/examples/research_projects/bertology/run_bertology.py)
+"""This script is adapted from the Bertology pruning code (https://github.com/huggingface/transformers/blob/783d7d2629e97c5f0c5f9ef01b8c66410275c204/examples/research_projects/bertology/run_bertology.py)
 to prune GPT-like models. The author is @altsoph.
 """
 

examples/research_projects/distillation/distiller.py

@@ -12,9 +12,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" The distiller to distil the student.
-    Adapted in part from Facebook, Inc XLM model (https://github.com/facebookresearch/XLM)
+"""The distiller to distil the student.
+Adapted in part from Facebook, Inc XLM model (https://github.com/facebookresearch/XLM)
 """
+
 import math
 import os
 import time

examples/research_projects/distillation/grouped_batch_sampler.py

@@ -12,8 +12,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Adapted from PyTorch Vision (https://github.com/pytorch/vision/blob/master/references/detection/group_by_aspect_ratio.py)
-"""
+"""Adapted from PyTorch Vision (https://github.com/pytorch/vision/blob/master/references/detection/group_by_aspect_ratio.py)"""
+
 import bisect
 import copy
 from collections import defaultdict

examples/research_projects/distillation/lm_seqs_dataset.py

@@ -12,9 +12,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Dataset to distilled models
-    adapted in part from Facebook, Inc XLM model (https://github.com/facebookresearch/XLM)
+"""Dataset to distilled models
+adapted in part from Facebook, Inc XLM model (https://github.com/facebookresearch/XLM)
 """
+
 import numpy as np
 import torch
 from torch.utils.data import Dataset

examples/research_projects/distillation/run_squad_w_distillation.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" This is the exact same script as `examples/question-answering/run_squad.py` (as of 2020, January 8th) with an additional and optional step of distillation."""
+"""This is the exact same script as `examples/question-answering/run_squad.py` (as of 2020, January 8th) with an additional and optional step of distillation."""
 
 import argparse
 import glob

examples/research_projects/distillation/scripts/binarized_data.py

@@ -15,6 +15,7 @@
 """
 Preprocessing script before distillation.
 """
+
 import argparse
 import logging
 import pickle

examples/research_projects/distillation/scripts/extract.py

@@ -16,6 +16,7 @@
 Preprocessing script before training the distilled model.
 Specific to RoBERTa -> DistilRoBERTa and GPT2 -> DistilGPT2.
 """
+
 import argparse
 
 import torch

examples/research_projects/distillation/scripts/extract_distilbert.py

@@ -16,6 +16,7 @@
 Preprocessing script before training DistilBERT.
 Specific to BERT -> DistilBERT.
 """
+
 import argparse
 
 import torch

examples/research_projects/distillation/scripts/token_counts.py

@@ -15,6 +15,7 @@
 """
 Preprocessing script before training the distilled model.
 """
+
 import argparse
 import logging
 import pickle

examples/research_projects/distillation/train.py

@@ -16,6 +16,7 @@
 Training the distilled model.
 Supported architectures include: BERT -> DistilBERT, RoBERTa -> DistilRoBERTa, GPT2 -> DistilGPT2.
 """
+
 import argparse
 import json
 import os

examples/research_projects/distillation/utils.py

@@ -12,9 +12,10 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Utils to train DistilBERT
-    adapted in part from Facebook, Inc XLM model (https://github.com/facebookresearch/XLM)
+"""Utils to train DistilBERT
+adapted in part from Facebook, Inc XLM model (https://github.com/facebookresearch/XLM)
 """
+
 import json
 import logging
 import os

examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py

@@ -20,6 +20,7 @@ text file or a dataset.
 Here is the full list of checkpoints on the hub that can be fine-tuned by this script:
 https://huggingface.co/models?filter=fill-mask
 """
+
 import logging
 import os
 import sys

examples/research_projects/lxmert/modeling_frcnn.py

@@ -1,20 +1,21 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
- Adapted From Facebook Inc, Detectron2 && Huggingface Co.
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
+Adapted From Facebook Inc, Detectron2 && Huggingface Co.
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
 import itertools
 import math
 import os

examples/research_projects/lxmert/processing_image.py

@@ -1,20 +1,21 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
- Adapted From Facebook Inc, Detectron2
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
+Adapted From Facebook Inc, Detectron2
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
 import sys
 from typing import Tuple
 

examples/research_projects/lxmert/utils.py

@@ -1,20 +1,20 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal, Huggingface team :)
- Adapted From Facebook Inc, Detectron2
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal, Huggingface team :)
+Adapted From Facebook Inc, Detectron2
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
 import copy
 import fnmatch

examples/research_projects/lxmert/visualizing_image.py

@@ -1,20 +1,21 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
- Adapted From Facebook Inc, Detectron2
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
+Adapted From Facebook Inc, Detectron2
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
 import colorsys
 import io
 

examples/research_projects/mm-imdb/run_mmimdb.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for multimodal multiclass prediction on MM-IMDB dataset."""
-
+"""Finetuning the library models for multimodal multiclass prediction on MM-IMDB dataset."""
 
 import argparse
 import glob

examples/research_projects/movement-pruning/counts_parameters.py

@@ -15,6 +15,7 @@
 Count remaining (non-zero) weights in the encoder (i.e. the transformer layers).
 Sparsity and remaining weights levels are equivalent: sparsity % = 100 - remaining weights %.
 """
+
 import argparse
 import os
 

examples/research_projects/movement-pruning/emmental/configuration_bert_masked.py

@@ -13,10 +13,9 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Masked BERT model configuration. It replicates the class `~transformers.BertConfig`
+"""Masked BERT model configuration. It replicates the class `~transformers.BertConfig`
 and adapts it to the specificities of MaskedBert (`pruning_method`, `mask_init` and `mask_scale`."""
 
-
 import logging
 
 from transformers.configuration_utils import PretrainedConfig

examples/research_projects/movement-pruning/emmental/modeling_bert_masked.py

@@ -18,7 +18,6 @@
 compute the adaptive mask.
 Built on top of `transformers.models.bert.modeling_bert`"""
 
-
 import logging
 import math
 

examples/research_projects/movement-pruning/masked_run_glue.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Fine-pruning Masked BERT on sequence classification on GLUE."""
+"""Fine-pruning Masked BERT on sequence classification on GLUE."""
 
 import argparse
 import glob

examples/research_projects/movement-pruning/masked_run_squad.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Fine-pruning Masked BERT for question-answering on SQuAD."""
-
+"""Fine-pruning Masked BERT for question-answering on SQuAD."""
 
 import argparse
 import glob

examples/research_projects/onnx/summarization/run_onnx_exporter.py

@@ -13,9 +13,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-"""
+""" """
 
-"""
 import argparse
 import logging
 import os

examples/research_projects/performer/run_mlm_performer.py

@@ -19,6 +19,7 @@ text file or a dataset.
 Here is the full list of checkpoints on the hub that can be fine-tuned by this script:
 https://huggingface.co/models?filter=fill-mask
 """
+
 import logging
 import os
 import sys

examples/research_projects/quantization-qdqbert/evaluate-hf-trt-qa.py

@@ -12,7 +12,8 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for question-answering on SQuAD (DistilBERT, Bert, XLM, XLNet)."""
+"""Finetuning the library models for question-answering on SQuAD (DistilBERT, Bert, XLM, XLNet)."""
+
 import argparse
 import logging
 import os

examples/research_projects/quantization-qdqbert/quant_trainer.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Helper functions for training models with pytorch-quantization"""
+
 import logging
 import re
 

examples/research_projects/quantization-qdqbert/utils_qa.py

@@ -15,6 +15,7 @@
 """
 Post-processing utilities for question answering.
 """
+
 import collections
 import json
 import logging

examples/research_projects/rag-end2end-retriever/eval_rag.py

@@ -1,4 +1,4 @@
-""" Evaluation script for RAG models."""
+"""Evaluation script for RAG models."""
 
 import argparse
 import ast

examples/research_projects/rag/eval_rag.py

@@ -1,4 +1,4 @@
-""" Evaluation script for RAG models."""
+"""Evaluation script for RAG models."""
 
 import argparse
 import ast

examples/research_projects/robust-speech-event/run_speech_recognition_ctc_bnb.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 
-""" Fine-tuning a 🤗 Transformers CTC model for automatic speech recognition"""
+"""Fine-tuning a 🤗 Transformers CTC model for automatic speech recognition"""
 
 import functools
 import json

examples/research_projects/robust-speech-event/run_speech_recognition_ctc_streaming.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 
-""" Fine-tuning a 🤗 Transformers CTC model for automatic speech recognition in streaming mode"""
+"""Fine-tuning a 🤗 Transformers CTC model for automatic speech recognition in streaming mode"""
 
 import logging
 import os

examples/research_projects/visual_bert/modeling_frcnn.py

@@ -1,20 +1,21 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
- Adapted From Facebook Inc, Detectron2 && Huggingface Co.
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
+Adapted From Facebook Inc, Detectron2 && Huggingface Co.
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
 import itertools
 import math
 import os

examples/research_projects/visual_bert/processing_image.py

@@ -1,20 +1,21 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
- Adapted From Facebook Inc, Detectron2
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
+Adapted From Facebook Inc, Detectron2
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
 import sys
 from typing import Tuple
 

examples/research_projects/visual_bert/utils.py

@@ -1,20 +1,20 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal, Huggingface team :)
- Adapted From Facebook Inc, Detectron2
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal, Huggingface team :)
+Adapted From Facebook Inc, Detectron2
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
 import copy
 import fnmatch

examples/research_projects/visual_bert/visualizing_image.py

@@ -1,20 +1,21 @@
 """
- coding=utf-8
- Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
- Adapted From Facebook Inc, Detectron2
+coding=utf-8
+Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
+Adapted From Facebook Inc, Detectron2
 
- Licensed under the Apache License, Version 2.0 (the "License");
- you may not use this file except in compliance with the License.
- You may obtain a copy of the License at
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
 
-     http://www.apache.org/licenses/LICENSE-2.0
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.import copy
+"""
 
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.import copy
- """
 import colorsys
 import io
 

examples/research_projects/xtreme-s/run_xtreme_s.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 
-""" Fine-tuning a 🤗 Transformers pretrained speech model on the XTREME-S benchmark tasks"""
+"""Fine-tuning a 🤗 Transformers pretrained speech model on the XTREME-S benchmark tasks"""
 
 import json
 import logging

examples/tensorflow/benchmarking/plot_csv_file.py

@@ -93,14 +93,14 @@ class Plot:
                 self.result_dict[model_name]["seq_len"].append(int(row["sequence_length"]))
                 if can_convert_to_int(row["result"]):
                     # value is not None
-                    self.result_dict[model_name]["result"][
-                        (int(row["batch_size"]), int(row["sequence_length"]))
-                    ] = int(row["result"])
+                    self.result_dict[model_name]["result"][(int(row["batch_size"]), int(row["sequence_length"]))] = (
+                        int(row["result"])
+                    )
                 elif can_convert_to_float(row["result"]):
                     # value is not None
-                    self.result_dict[model_name]["result"][
-                        (int(row["batch_size"]), int(row["sequence_length"]))
-                    ] = float(row["result"])
+                    self.result_dict[model_name]["result"][(int(row["batch_size"]), int(row["sequence_length"]))] = (
+                        float(row["result"])
+                    )
 
     def plot(self):
         fig, ax = plt.subplots()

examples/tensorflow/benchmarking/run_benchmark_tf.py

@@ -14,7 +14,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Benchmarking the library on inference and training in TensorFlow"""
+"""Benchmarking the library on inference and training in TensorFlow"""
 
 from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments
 

examples/tensorflow/question-answering/utils_qa.py

@@ -15,6 +15,7 @@
 """
 Post-processing utilities for question answering.
 """
+
 import collections
 import json
 import logging

examples/tensorflow/text-classification/run_glue.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Finetuning the library models for sequence classification on GLUE."""
+"""Finetuning the library models for sequence classification on GLUE."""
 # You can also adapt this script on your own text classification task. Pointers for this are left as comments.
 
 import json

examples/tensorflow/text-classification/run_text_classification.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Fine-tuning the library models for sequence classification."""
+"""Fine-tuning the library models for sequence classification."""
 # You can also adapt this script on your own text classification task. Pointers for this are left as comments.
 
 import json

setup.py

@@ -156,7 +156,7 @@ _deps = [
     "rhoknp>=1.1.0,<1.3.1",
     "rjieba",
     "rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1",
-    "ruff==0.1.5",
+    "ruff==0.4.4",
     "sacrebleu>=1.4.12,<2.0.0",
     "sacremoses",
     "safetensors>=0.4.1",

src/transformers/audio_utils.py

@@ -16,6 +16,7 @@
 Audio processing functions to extract features from audio waveforms. This code is pure numpy to support all frameworks
 and remove unnecessary dependencies.
 """
+
 import warnings
 from typing import Optional, Tuple, Union
 

src/transformers/benchmark/benchmark.py

@@ -14,10 +14,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """
-    Benchmarking the library on inference and training in PyTorch.
+Benchmarking the library on inference and training in PyTorch.
 """
 
-
 import timeit
 from typing import Callable, Optional
 

src/transformers/benchmark/benchmark_tf.py

@@ -14,10 +14,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """
-    Benchmarking the library on inference and training in PyTorch.
+Benchmarking the library on inference and training in PyTorch.
 """
 
-
 import random
 import timeit
 from functools import wraps

src/transformers/benchmark/benchmark_utils.py

@@ -249,7 +249,6 @@ def measure_peak_memory_cpu(function: Callable[[], None], interval=0.5, device_i
     else:
 
         class MemoryMeasureProcess(Process):
-
             """
             `MemoryMeasureProcess` inherits from `Process` and overwrites its `run()` method. Used to measure the
             memory usage of a process

src/transformers/configuration_utils.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Configuration base class and utilities."""
-
+"""Configuration base class and utilities."""
 
 import copy
 import json

src/transformers/convert_graph_to_onnx.py

@@ -400,7 +400,7 @@ def optimize(onnx_model_path: Path) -> Path:
     sess_option.optimized_model_filepath = opt_model_path.as_posix()
     _ = InferenceSession(onnx_model_path.as_posix(), sess_option)
 
-    print(f"Optimized model has been written at {opt_model_path}: \N{heavy check mark}")
+    print(f"Optimized model has been written at {opt_model_path}: \N{HEAVY CHECK MARK}")
     print("/!\\ Optimized model contains hardware specific operators which might not be portable. /!\\")
 
     return opt_model_path
@@ -475,7 +475,7 @@ def quantize(onnx_model_path: Path) -> Path:
     quantized_model_path = generate_identified_filename(onnx_model_path, "-quantized")
 
     # Save model
-    print(f"Quantized model has been written at {quantized_model_path}: \N{heavy check mark}")
+    print(f"Quantized model has been written at {quantized_model_path}: \N{HEAVY CHECK MARK}")
     onnx.save_model(quantizer.model.model, quantized_model_path.as_posix())
 
     return quantized_model_path
@@ -489,9 +489,9 @@ def verify(path: Path):
     try:
         onnx_options = SessionOptions()
         _ = InferenceSession(path.as_posix(), onnx_options, providers=["CPUExecutionProvider"])
-        print(f"Model {path} correctly loaded: \N{heavy check mark}")
+        print(f"Model {path} correctly loaded: \N{HEAVY CHECK MARK}")
     except RuntimeException as re:
-        print(f"Error while loading the model {re}: \N{heavy ballot x}")
+        print(f"Error while loading the model {re}: \N{HEAVY BALLOT X}")
 
 
 if __name__ == "__main__":

src/transformers/convert_pytorch_checkpoint_to_tf2.py

@@ -12,8 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Convert pytorch checkpoints to TensorFlow"""
-
+"""Convert pytorch checkpoints to TensorFlow"""
 
 import argparse
 import os

src/transformers/convert_slow_tokenizers_checkpoints_to_fast.py

@@ -12,7 +12,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" Convert slow tokenizers checkpoints in fast (serialization format of the `tokenizers` library)"""
+"""Convert slow tokenizers checkpoints in fast (serialization format of the `tokenizers` library)"""
 
 import argparse
 import os

src/transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Convert Seq2Seq TF Hub checkpoint."""
 
-
 import argparse
 
 from . import (

src/transformers/data/metrics/squad_metrics.py

@@ -20,7 +20,6 @@ additional na_prob.json file is provided. This file is expected to map question
 probability that a question is unanswerable.
 """
 
-
 import collections
 import json
 import math

src/transformers/data/processors/glue.py

@@ -13,7 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" GLUE processors and helpers"""
+"""GLUE processors and helpers"""
 
 import os
 import warnings

src/transformers/data/processors/xnli.py

@@ -13,8 +13,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-""" XNLI utils (dataset loading and evaluation)"""
-
+"""XNLI utils (dataset loading and evaluation)"""
 
 import os
 

src/transformers/deepspeed.py

@@ -17,6 +17,7 @@ in `integrations/deepspeed` instead.
 
 Check: https://github.com/huggingface/transformers/pull/25599
 """
+
 import warnings
 
 

src/transformers/dependency_versions_table.py

@@ -62,7 +62,7 @@ deps = {
     "rhoknp": "rhoknp>=1.1.0,<1.3.1",
     "rjieba": "rjieba",
     "rouge-score": "rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1",
-    "ruff": "ruff==0.1.5",
+    "ruff": "ruff==0.4.4",
     "sacrebleu": "sacrebleu>=1.4.12,<2.0.0",
     "sacremoses": "sacremoses",
     "safetensors": "safetensors>=0.4.1",

src/transformers/dynamic_module_utils.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Utilities to dynamically load objects from the Hub."""
+
 import filecmp
 import importlib
 import importlib.util

src/transformers/feature_extraction_sequence_utils.py

@@ -13,8 +13,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """
- Sequence feature extraction class for common feature extractors to preprocess sequences.
+Sequence feature extraction class for common feature extractors to preprocess sequences.
 """
+
 from typing import Dict, List, Optional, Union
 
 import numpy as np