from itertools import permutations



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: tuple			)							->      Any:







  """simple docstring"""





  if num[3] % 2 != 0:
    return False

  if (num[2] + num[3] + num[4]) % 3 != 0:
    return False

  if num[5] % 5 != 0:
    return False

  SCREAMING_SNAKE_CASE__    							=   [7, 11, 13, 17]
  for i, test in enumerate(SCREAMING_SNAKE_CASE__			):
    if (num[i + 4] * 1_00 + num[i + 5] * 10 + num[i + 6]) % test != 0:
      return False
  return True



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int = 10			)							->      int:







  """simple docstring"""





  return sum(
      int("""""".join(map(SCREAMING_SNAKE_CASE__				,  SCREAMING_SNAKE_CASE__			)			)			)
      for num in permutations(range(SCREAMING_SNAKE_CASE__			)			)
      if is_substring_divisible(SCREAMING_SNAKE_CASE__			)			)


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


__lowerCamelCase    :				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)
