

'''simple docstring'''




def        lowerCAmelCase_     (			_lowerCamelCase:     Union[str, Any] ,   _lowerCamelCase:     Optional[int]      ):
		if a < 0 or b < 0:
				raise ValueError("""the value of both inputs must be positive"""      )

		__SCREAMING_SNAKE_CASE :	List[str]					 =	str(bin(__UpperCamelCase      )      )[2:]  # remove the leading "0b"
		__SCREAMING_SNAKE_CASE :	Dict					 =	str(bin(__UpperCamelCase      )      )[2:]  # remove the leading "0b"

		__SCREAMING_SNAKE_CASE :	str					 =	max(len(__UpperCamelCase      ) ,   len(__UpperCamelCase      )      )

		return "0b" + "".join(
		    str(int(char_a == """1""" and char_b == """1"""      )      )
		    for char_a, char_b in zip(a_binary.zfill(__UpperCamelCase      ) ,   b_binary.zfill(__UpperCamelCase      )      )      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()




'''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)