



'''simple docstring'''





import fire

from utils import calculate_rouge, save_json
def    _SCREAMING_SNAKE_CASE  (       UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase=None							,    **UpperCamelCase			):



    """simple docstring"""





    lowerCAmelCase__ :  Tuple							      =					[x.strip() for x in open(UpperCamelCase			).readlines()]
    lowerCAmelCase__ :  List[Any]							      =					[x.strip() for x in open(UpperCamelCase			).readlines()][: len(UpperCamelCase			)]
    lowerCAmelCase__ :  Tuple							      =					calculate_rouge(UpperCamelCase							,    UpperCamelCase							,    **UpperCamelCase			)
    if save_path is not None:
        save_json(UpperCamelCase							,    UpperCamelCase							,    indent=UpperCamelCase			)
    return metrics  # these print nicely


if __name__ == "__main__":
 fire.Fire(calculate_rouge_path)







'''simple docstring'''





# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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
#
# 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.

# this script dumps information about the environment

import os
import sys

import transformers


_lowerCAmelCase      						=	'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
 import torch

 print('''Torch version:''', torch.__version__)
 print('''Cuda available:''', torch.cuda.is_available())
 print('''Cuda version:''', torch.version.cuda)
 print('''CuDNN version:''', torch.backends.cudnn.version())
 print('''Number of GPUs available:''', torch.cuda.device_count())
 print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
 print('''Torch version:''', None)

try:
 import deepspeed

 print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
 print('''DeepSpeed version:''', None)

try:
 import tensorflow as tf

 print('''TensorFlow version:''', tf.__version__)
 print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
 print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
 print('''TensorFlow version:''', None)


