

'''simple docstring'''
from __future__ import annotations

_snake_case         =  []







def  _A		(     snake_case		,							snake_case		,							snake_case					)      ->     bool:
   for i in range(len(snake_case					)					):
      if board[row][i] == 1:
         return False
   for i in range(len(snake_case					)					):
      if board[i][column] == 1:
         return False
   for i, j in zip(range(snake_case		,							-1		,							-1					)		,							range(snake_case		,							-1		,							-1					)					):
      if board[i][j] == 1:
         return False
   for i, j in zip(range(snake_case		,							-1		,							-1					)		,							range(snake_case		,							len(snake_case					)					)					):
      if board[i][j] == 1:
         return False
   return True







def  _A		(     snake_case		,							snake_case					)      ->     bool:
   if row >= len(snake_case					):
      solution.append(snake_case					)
      printboard(snake_case					)
      print()
      return True
   for i in range(len(snake_case					)					):
      if is_safe(snake_case		,							snake_case		,							snake_case					):
         _lowercase      :				Any      					=       1
         solve(snake_case		,							row + 1					)
         _lowercase      :				Optional[Any]      					=       0
   return False







def  _A		(     snake_case					)      ->     None:
   for i in range(len(snake_case					)					):
      for j in range(len(snake_case					)					):
         if board[i][j] == 1:
            print("Q"		,							end=" "					)
         else:
            print("."		,							end=" "					)
      print()


# n=int(input("The no. of queens"))
_snake_case         =  8
_snake_case         =  [[0 for i in range(n)] for j in range(n)]
solve(board, 0)

print('The total no. of solutions are :', len(solution))









'''simple docstring'''
import logging

from transformers import PretrainedConfig


_snake_case         =  logging.getLogger(__name__)


_snake_case         =  {
    'bertabs-finetuned-cnndm': 'https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json',
}


class        a__  (							lowerCamelCase_  ):
   _SCREAMING_SNAKE_CASE   :					List[str]     	=							'bertabs'


   def __init__(			self      ,    _UpperCamelCase=30522      ,    _UpperCamelCase=512      ,    _UpperCamelCase=6      ,    _UpperCamelCase=512      ,    _UpperCamelCase=8      ,    _UpperCamelCase=512      ,    _UpperCamelCase=0.2      ,    _UpperCamelCase=6      ,    _UpperCamelCase=768      ,    _UpperCamelCase=8      ,    _UpperCamelCase=2048      ,    _UpperCamelCase=0.2      ,    **_UpperCamelCase      ,    ):





      """simple docstring"""





      super().__init__(**_UpperCamelCase  )

      _lowercase      :				List[str]      					=       vocab_size
      _lowercase      :				Tuple      					=       max_pos

      _lowercase      :				int      					=       enc_layers
      _lowercase      :				str      					=       enc_hidden_size
      _lowercase      :				Optional[Any]      					=       enc_heads
      _lowercase      :				Union[str, Any]      					=       enc_ff_size
      _lowercase      :				Tuple      					=       enc_dropout

      _lowercase      :				Dict      					=       dec_layers
      _lowercase      :				List[str]      					=       dec_hidden_size
      _lowercase      :				List[str]      					=       dec_heads
      _lowercase      :				str      					=       dec_ff_size
      _lowercase      :				str      					=       dec_dropout






