





"""simple docstring"""





import math


def       lowerCamelCase_       (   UpperCAmelCase_  )						->bool:





  """simple docstring"""


  assert isinstance(UpperCAmelCase_  ,			UpperCAmelCase_  ) and (
      number >= 0
  ), "'number' must been an int and positive"

  if 1 < number < 4:
    # 2 and 3 are primes
    return True
  elif number < 2 or not number % 2:
    # Negatives, 0, 1 and all even numbers are not primes
    return False

  __UpperCAmelCase    :						Optional[Any]       =						range(3  ,			int(math.sqrt(UpperCAmelCase_  ) + 1  )  ,			2  )
  return not any(not number % i for i in odd_numbers  )







def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_=1  ,			**UpperCAmelCase_  )						->Tuple:





  """simple docstring"""


  __UpperCAmelCase    :						List[Any]       =						factor * value
  __UpperCAmelCase    :						Dict       =						value

  while not is_prime(UpperCAmelCase_  ):
    value += 1 if not ("desc" in kwargs and kwargs["desc"] is True) else -1

  if value == first_value_val:
    return next_prime(value + 1  ,			**UpperCAmelCase_  )
  return value






"""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)