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update ruff version (#30932)

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* update ruff version

* fix research projects

* Empty

* Fix errors

---------

Co-authored-by: Lysandre <lysandre@huggingface.co>
This commit is contained in:
Arthur
2024-05-22 06:40:15 +02:00
committed by GitHub
parent 60bb571e99
commit 673440d073
1172 changed files with 1555 additions and 1861 deletions
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12
examples/legacy/benchmarking/plot_csv_file.py
View File

@@ -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()

2
examples/legacy/benchmarking/run_benchmark.py
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@@ -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

3
examples/legacy/multiple_choice/run_multiple_choice.py
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@@ -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

3
examples/legacy/multiple_choice/utils_multiple_choice.py
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@@ -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

3
examples/legacy/question-answering/run_squad.py
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@@ -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

3
examples/legacy/question-answering/run_squad_trainer.py
View File

@@ -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

1
examples/legacy/run_language_modeling.py
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@@ -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

1
examples/legacy/run_openai_gpt.py
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@@ -28,6 +28,7 @@
--output_dir ../log \
--train_batch_size 16 \
"""
import argparse
import csv
import logging

3
examples/legacy/run_swag.py
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@@ -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

9
examples/legacy/run_transfo_xl.py
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@@ -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

1
examples/legacy/seq2seq/xla_spawn.py
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@@ -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

3
examples/legacy/token-classification/run_ner.py
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@@ -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

3
examples/legacy/token-classification/utils_ner.py
View File

@@ -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