

'''simple docstring'''




def        lowerCAmelCase_     (			_lowerCamelCase:     Dict      ):







		if not isinstance(__UpperCAmelCase ,   __UpperCAmelCase      ):
				raise ValueError("""check_bouncy() accepts only integer arguments"""      )
		__SCREAMING_SNAKE_CASE :	Optional[int]					 =	str(__UpperCAmelCase      )
		__SCREAMING_SNAKE_CASE :	Any					 =	"""""".join(sorted(__UpperCAmelCase      )      )
		return sorted_str_n != str_n and sorted_str_n[::-1] != str_n


def        lowerCAmelCase_     (			_lowerCamelCase:     Optional[int] = 99      ):







		if not 0 < percent < 1_00:
				raise ValueError("""solution() only accepts values from 0 to 100"""      )
		__SCREAMING_SNAKE_CASE :	Dict					 =	0
		__SCREAMING_SNAKE_CASE :	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(99)}")




'''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


UpperCamelCase__ :			Tuple												=				'''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)