





from __future__ import annotations

SCREAMING_SNAKE_CASE_						   =       []



def    __lowercase   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   str:


      '''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   (      _SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE	) ->   Union[str, Any]:


      '''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	):
                  SCREAMING_SNAKE_CASE		=						1
                  solve(_A ,						row + 1	)
                  SCREAMING_SNAKE_CASE		=						0
      return False



def    __lowercase   (      _SCREAMING_SNAKE_CASE	) ->   Any:


      '''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))








from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel




