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

@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Finetuning a 🤗 Flax Transformers model for sequence classification on GLUE."""
+
 import json
 import logging
 import math

examples/flax/token-classification/run_flax_ner.py

@@ -14,6 +14,7 @@
 # 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)"""
+
 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/multiple_choice/run_multiple_choice.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Finetuning the library models for multiple choice (Bert, Roberta, XLNet)."""
 
-
 import logging
 import os
 from dataclasses import dataclass, field

examples/legacy/multiple_choice/utils_multiple_choice.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Multiple choice fine-tuning: utilities to work with multiple choice tasks of reading comprehension"""
 
-
 import csv
 import glob
 import json

examples/legacy/question-answering/run_squad.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Finetuning the library models for question-answering on SQuAD (DistilBERT, Bert, XLM, XLNet)."""
 
-
 import argparse
 import glob
 import logging

examples/legacy/question-answering/run_squad_trainer.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Fine-tuning the library models for question-answering."""
 
-
 import logging
 import os
 import sys

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

@@ -18,7 +18,6 @@
 Finetuning the library models for multiple choice on SWAG (Bert).
 """
 
-
 import argparse
 import csv
 import glob

examples/legacy/run_transfo_xl.py

@@ -21,7 +21,6 @@
 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

@@ -14,6 +14,7 @@
 # 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."""
+
 import logging
 import os
 import sys

examples/legacy/token-classification/utils_ner.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Named entity recognition fine-tuning: utilities to work with CoNLL-2003 task."""
 
-
 import logging
 import os
 from dataclasses import dataclass

examples/pytorch/image-classification/run_image_classification_no_trainer.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Finetuning any 🤗 Transformers model for image classification leveraging 🤗 Accelerate."""
+
 import argparse
 import json
 import logging

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/text-classification/run_glue_no_trainer.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Finetuning a 🤗 Transformers model for sequence classification on GLUE."""
+
 import argparse
 import json
 import logging

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

@@ -19,7 +19,6 @@ 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/bert-loses-patience/pabee/modeling_pabee_bert.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """PyTorch BERT model with Patience-based Early Exit."""
 
-
 import logging
 
 import torch

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

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Training and inference using the library models for sequence classification on GLUE (Bert, Albert) with PABEE."""
 
-
 import argparse
 import glob
 import json

examples/research_projects/bertabs/configuration_bertabs.py

@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """BertAbs configuration"""
+
 import logging
 
 from transformers import PretrainedConfig

examples/research_projects/bertology/run_bertology.py

@@ -19,6 +19,7 @@
 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/distillation/distiller.py

@@ -15,6 +15,7 @@
 """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

@@ -15,6 +15,7 @@
 """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/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

@@ -15,6 +15,7 @@
 """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

@@ -15,6 +15,7 @@
 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

@@ -15,6 +15,7 @@
 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/visualizing_image.py

@@ -15,6 +15,7 @@
 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

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Finetuning the library models for multimodal multiclass prediction on MM-IMDB dataset."""
 
-
 import argparse
 import glob
 import json

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

@@ -16,7 +16,6 @@
 """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_squad.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Fine-pruning Masked BERT for question-answering on SQuAD."""
 
-
 import argparse
 import glob
 import logging

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

@@ -13,6 +13,7 @@
 # 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)."""
+
 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/visual_bert/modeling_frcnn.py

@@ -15,6 +15,7 @@
 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

@@ -15,6 +15,7 @@
 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/visualizing_image.py

@@ -15,6 +15,7 @@
 See the License for the specific language governing permissions and
 limitations under the License.import copy
 """
+
 import colorsys
 import io
 

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/question-answering/utils_qa.py

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

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

@@ -17,7 +17,6 @@
 Benchmarking the library on inference and training in PyTorch.
 """
 
-
 import timeit
 from typing import Callable, Optional
 

src/transformers/benchmark/benchmark_tf.py

@@ -17,7 +17,6 @@
 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

@@ -15,7 +15,6 @@
 # limitations under the License.
 """Configuration base class and utilities."""
 
-
 import copy
 import json
 import os

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

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Convert pytorch checkpoints to TensorFlow"""
 
-
 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/xnli.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """XNLI utils (dataset loading and evaluation)"""
 
-
 import os
 
 from ...utils import logging

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

@@ -15,6 +15,7 @@
 """
 Sequence feature extraction class for common feature extractors to preprocess sequences.
 """
+
 from typing import Dict, List, Optional, Union
 
 import numpy as np

src/transformers/generation/stopping_criteria.py

@@ -387,9 +387,9 @@ class StopStringCriteria(StoppingCriteria):
             # Since this is lots of very small assignments of lists, we build it with numpy rather
             # than torch for speed + simplicity, then convert to torch at the end
             for token_idx, valid_positions in positions.items():
-                gather_vec[
-                    token_idx, max_valid_positions * i : max_valid_positions * i + len(valid_positions)
-                ] = valid_positions
+                gather_vec[token_idx, max_valid_positions * i : max_valid_positions * i + len(valid_positions)] = (
+                    valid_positions
+                )
             for token_idx, possible_end_lens in end_lens.items():
                 gather_vec[
                     token_idx,

src/transformers/generation/watermarking.py

@@ -68,7 +68,6 @@ class WatermarkDetectorOutput:
 
 
 class WatermarkDetector:
-
     r"""
     Detector for detection of watermark generated text. The detector needs to be given the exact same settings that were
     given during text generation to replicate the watermark greenlist generation and so detect the watermark. This includes

src/transformers/integrations/aqlm.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 "AQLM (Additive Quantization of Language Model) integration file"
 
-
 from ..utils import is_accelerate_available, is_aqlm_available, is_torch_available
 
 

src/transformers/integrations/awq.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 "AWQ (Activation aware Weight Quantization) integration file"
+
 from ..activations import ACT2FN
 from ..modeling_utils import PreTrainedModel
 from ..utils import is_auto_awq_available, is_torch_available, logging

src/transformers/integrations/deepspeed.py

@@ -14,6 +14,7 @@
 """
 Integration with Deepspeed
 """
+
 import copy
 import importlib.metadata as importlib_metadata
 import importlib.util

src/transformers/integrations/ggml.py

@@ -17,6 +17,7 @@
 Integration with GGML / The file is copied and adapted from https://github.com/99991/pygguf
 with extra methods beings exposed
 """
+
 from array import array
 
 import numpy as np

src/transformers/integrations/integration_utils.py

@@ -14,6 +14,7 @@
 """
 Integrations with other Python libraries.
 """
+
 import functools
 import importlib.metadata
 import importlib.util

src/transformers/modelcard.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Configuration base class and utilities."""
 
-
 import copy
 import json
 import os

src/transformers/modeling_flax_pytorch_utils.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """PyTorch - Flax general utilities."""
 
-
 import os
 from pickle import UnpicklingError
 from typing import Dict, Tuple

src/transformers/modeling_tf_pytorch_utils.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """PyTorch - TF 2.0 general utilities."""
 
-
 import os
 import re
 

src/transformers/models/albert/configuration_albert.py

@@ -14,6 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """ALBERT model configuration"""
+
 from collections import OrderedDict
 from typing import Mapping
 

src/transformers/models/albert/convert_albert_original_tf_checkpoint_to_pytorch.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Convert ALBERT checkpoint."""
 
-
 import argparse
 
 import torch

src/transformers/models/albert/modeling_tf_albert.py

@@ -15,7 +15,6 @@
 # limitations under the License.
 """TF 2.0 ALBERT model."""
 
-
 from __future__ import annotations
 
 import math

src/transformers/models/albert/tokenization_albert.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Tokenization classes for ALBERT model."""
 
-
 import os
 import unicodedata
 from shutil import copyfile

src/transformers/models/albert/tokenization_albert_fast.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Tokenization classes for ALBERT model."""
 
-
 import os
 from shutil import copyfile
 from typing import List, Optional, Tuple

src/transformers/models/align/processing_align.py

@@ -16,7 +16,6 @@
 Image/Text processor class for ALIGN
 """
 
-
 from ...processing_utils import ProcessorMixin
 from ...tokenization_utils_base import BatchEncoding
 

src/transformers/models/altclip/configuration_altclip.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """AltCLIP model configuration"""
+
 import os
 from typing import Union
 

src/transformers/models/altclip/modeling_altclip.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """PyTorch AltCLIP model."""
+
 import math
 from dataclasses import dataclass
 from typing import Any, List, Optional, Tuple, Union

src/transformers/models/altclip/processing_altclip.py

@@ -15,6 +15,7 @@
 """
 Image/Text processor class for AltCLIP
 """
+
 import warnings
 
 from ...processing_utils import ProcessorMixin

src/transformers/models/audio_spectrogram_transformer/configuration_audio_spectrogram_transformer.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Audio Spectogram Transformer (AST) model configuration"""
 
-
 from ...configuration_utils import PretrainedConfig
 from ...utils import logging
 

src/transformers/models/audio_spectrogram_transformer/convert_audio_spectrogram_transformer_original_to_pytorch.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Convert Audio Spectrogram Transformer checkpoints from the original repository. URL: https://github.com/YuanGongND/ast"""
 
-
 import argparse
 import json
 from pathlib import Path

src/transformers/models/auto/auto_factory.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Factory function to build auto-model classes."""
+
 import copy
 import importlib
 import json

src/transformers/models/auto/configuration_auto.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Auto Config class."""
+
 import importlib
 import os
 import re

src/transformers/models/auto/feature_extraction_auto.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """AutoFeatureExtractor class."""
+
 import importlib
 import json
 import os

src/transformers/models/auto/image_processing_auto.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """AutoImageProcessor class."""
+
 import importlib
 import json
 import os

src/transformers/models/auto/modeling_flax_auto.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Auto Model class."""
 
-
 from collections import OrderedDict
 
 from ...utils import logging

src/transformers/models/auto/modeling_tf_auto.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Auto Model class."""
 
-
 import warnings
 from collections import OrderedDict