





"""simple docstring"""





def       lowerCamelCase_       (   UpperCAmelCase_  )						->bool:





  """simple docstring"""


  if not isinstance(UpperCAmelCase_  ,			UpperCAmelCase_  ):
    raise ValueError('''check_bouncy() accepts only integer arguments'''  )
  __UpperCAmelCase    :						Tuple       =						str(UpperCAmelCase_  )
  __UpperCAmelCase    :						List[str]       =						''''''.join(sorted(UpperCAmelCase_  )  )
  return sorted_str_n != str_n and sorted_str_n[::-1] != str_n


def       lowerCamelCase_       (   UpperCAmelCase_ = 99  )						->int:





  """simple docstring"""


  if not 0 < percent < 1_00:
    raise ValueError('''solution() only accepts values from 0 to 100'''  )
  __UpperCAmelCase    :						Optional[Any]       =						0
  __UpperCAmelCase    :						Optional[int]       =						1

  while True:
    if check_bouncy(UpperCAmelCase_  ):
      bouncy_num += 1
    if (bouncy_num / num) * 1_00 >= percent:
      return num
    num += 1


if __name__ == "__main__":
      from doctest import testmod

      testmod()
      print(f"""{solution(9_9)}""")






"""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


lowercase__				:int				   =       '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)