






'''simple docstring'''



from __future__ import annotations

SCREAMING_SNAKE_CASE						=	[]


def 							lowercase_				(    __A :       list[list[int]]					,      __A :       int					,      __A :       int			)       ->      bool:



 """simple docstring"""




 for i in range(len(__A			)			):
  if board[row][i] == 1:
   return False
 for i in range(len(__A			)			):
  if board[i][column] == 1:
   return False
 for i, j in zip(range(__A					,      -1					,      -1			)					,      range(__A					,      -1					,      -1			)			):
  if board[i][j] == 1:
   return False
 for i, j in zip(range(__A					,      -1					,      -1			)					,      range(__A					,      len(__A			)			)			):
  if board[i][j] == 1:
   return False
 return True


def 							lowercase_				(    __A :       list[list[int]]					,      __A :       int			)       ->      bool:



 """simple docstring"""




 if row >= len(__A			):
  solution.append(__A			)
  printboard(__A			)
  print()
  return True
 for i in range(len(__A			)			):
  if is_safe(__A					,      __A					,      __A			):
   lowercase					:   Dict				  =1
   solve(__A					,      row + 1			)
   lowercase					:   Optional[int]				  =0
 return False


def 							lowercase_				(    __A :       list[list[int]]			)       ->      None:



 """simple docstring"""




 for i in range(len(__A			)			):
  for j in range(len(__A			)			):
   if board[i][j] == 1:
    print('''Q'''					,      end=''' '''			)
   else:
    print('''.'''					,      end=''' '''			)
  print()


# n=int(input("The no. of queens"))
SCREAMING_SNAKE_CASE						=	8
SCREAMING_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'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


SCREAMING_SNAKE_CASE						=	{
    'configuration_mega': ['MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MegaConfig', 'MegaOnnxConfig'],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE						=	[
          'MEGA_PRETRAINED_MODEL_ARCHIVE_LIST',
          'MegaForCausalLM',
          'MegaForMaskedLM',
          'MegaForMultipleChoice',
          'MegaForQuestionAnswering',
          'MegaForSequenceClassification',
          'MegaForTokenClassification',
          'MegaModel',
          'MegaPreTrainedModel',
      ]

if TYPE_CHECKING:
      from .configuration_mega import MEGA_PRETRAINED_CONFIG_ARCHIVE_MAP, MegaConfig, MegaOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mega import (
                MEGA_PRETRAINED_MODEL_ARCHIVE_LIST,
                MegaForCausalLM,
                MegaForMaskedLM,
                MegaForMultipleChoice,
                MegaForQuestionAnswering,
                MegaForSequenceClassification,
                MegaForTokenClassification,
                MegaModel,
                MegaPreTrainedModel,
            )

else:
      import sys

      SCREAMING_SNAKE_CASE						=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



