





"""simple docstring"""







def     A__			(       __lowerCamelCase					):





  """simple docstring"""
  _lowerCAmelCase	      =					0
  while num > 0:
    digit_sum += num % 1_0
    num //= 1_0
  return digit_sum







def     A__			(       __lowerCamelCase = 1_0_0					):





  """simple docstring"""
  _lowerCAmelCase	      =					1
  _lowerCAmelCase	      =					2

  for i in range(2,		max_n + 1					):
    _lowerCAmelCase	      =					pre_numerator
    _lowerCAmelCase	      =					2 * i // 3 if i % 3 == 0 else 1
    _lowerCAmelCase	      =					cur_numerator
    _lowerCAmelCase	      =					e_cont * pre_numerator + temp

  return sum_digits(__A					)


if __name__ == "__main__":
   print(f'{solution() = }')











# 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__      			=						'''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)





