


from __future__ import annotations

UpperCAmelCase_   :				Optional[int]						      = []







def  SCREAMING_SNAKE_CASE_		(    __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  SCREAMING_SNAKE_CASE_		(    __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       ):
                     a_      :	Union[str, Any]							=						1
                     solve(__A						,					row + 1       )
                     a_      :	List[Any]							=						0
       return False







def  SCREAMING_SNAKE_CASE_		(    __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"))
UpperCAmelCase_   :				List[Any]						      = 8
UpperCAmelCase_   :				str						      = [[0 for i in range(n)] for j in range(n)]
solve(board, 0)
print('The total no. of solutions are :', len(solution))






import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property
@unittest.skipUnless(os.path.exists(lowercase__    )		,					'''Tatoeba directory does not exist.'''    )
class 				SCREAMING_SNAKE_CASE__						(       unittest.TestCase    ):
      @cached_property
      def  SCREAMING_SNAKE_CASE							( self       : str  )	->    List[Any]:
             a_      :	Optional[Any]							=						tempfile.mkdtemp()
             return TatoebaConverter(save_dir=SCREAMING_SNAKE_CASE__  )
      @slow
      def  SCREAMING_SNAKE_CASE							( self       : List[Any]  )	->    Optional[Any]:
             self.resolver.convert_models(['heb-eng']  )

      @slow
      def  SCREAMING_SNAKE_CASE							( self       : int  )	->    Any:
             a_							,	a_      :	Dict							=						self.resolver.write_model_card('opus-mt-he-en'  ,							dry_run=SCREAMING_SNAKE_CASE__  )
             assert mmeta["long_pair"] == "heb-eng"


