


'''simple docstring'''






import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase       							=				logging.get_logger(__name__)

__UpperCAmelCase       							=				{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}




class 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  Union[str, Any]      		= "mvp"
							lowercase__     :  Union[str, Any]      		= ["past_key_values"]
							lowercase__     :  Optional[Any]      		= {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}







							def __init__(						self   ,       lowerCamelCase_=5_02_67   ,       lowerCamelCase_=10_24   ,       lowerCamelCase_=12   ,       lowerCamelCase_=40_96   ,       lowerCamelCase_=16   ,       lowerCamelCase_=12   ,       lowerCamelCase_=40_96   ,       lowerCamelCase_=16   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_="gelu"   ,       lowerCamelCase_=10_24   ,       lowerCamelCase_=0.1   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=0.02   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=False   ,       lowerCamelCase_=True   ,       lowerCamelCase_=1   ,       lowerCamelCase_=0   ,       lowerCamelCase_=2   ,       lowerCamelCase_=True   ,       lowerCamelCase_=2   ,       lowerCamelCase_=2   ,       lowerCamelCase_=False   ,       lowerCamelCase_=1_00   ,       lowerCamelCase_=8_00   ,       **lowerCamelCase_   ,       )			->				Dict:
														lowerCAmelCase__			  =      vocab_size
														lowerCAmelCase__			  =      max_position_embeddings
														lowerCAmelCase__			  =      d_model
														lowerCAmelCase__			  =      encoder_ffn_dim
														lowerCAmelCase__			  =      encoder_layers
														lowerCAmelCase__			  =      encoder_attention_heads
														lowerCAmelCase__			  =      decoder_ffn_dim
														lowerCAmelCase__			  =      decoder_layers
														lowerCAmelCase__			  =      decoder_attention_heads
														lowerCAmelCase__			  =      dropout
														lowerCAmelCase__			  =      attention_dropout
														lowerCAmelCase__			  =      activation_dropout
														lowerCAmelCase__			  =      activation_function
														lowerCAmelCase__			  =      init_std
														lowerCAmelCase__			  =      encoder_layerdrop
														lowerCAmelCase__			  =      decoder_layerdrop
														lowerCAmelCase__			  =      classifier_dropout
														lowerCAmelCase__			  =      use_cache
														lowerCAmelCase__			  =      encoder_layers
														lowerCAmelCase__			  =      scale_embedding  # scale factor will be sqrt(d_model) if True
														lowerCAmelCase__			  =      use_prompt
														lowerCAmelCase__			  =      prompt_length
														lowerCAmelCase__			  =      prompt_mid_dim

														super().__init__(
														    pad_token_id=lowerCamelCase_   ,       bos_token_id=lowerCamelCase_   ,       eos_token_id=lowerCamelCase_   ,       is_encoder_decoder=lowerCamelCase_   ,       decoder_start_token_id=lowerCamelCase_   ,       forced_eos_token_id=lowerCamelCase_   ,       **lowerCamelCase_   ,       )

														if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''   ,       lowerCamelCase_  ):
																					lowerCAmelCase__			  =      self.bos_token_id
																					warnings.warn(
																					    F"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
																					    '''The config can simply be saved and uploaded again to be fixed.'''  )


"""simple docstring"""

from __future__ import annotations

_UpperCamelCase		     =    []



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



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						bool:
 if row >= len(lowercase__   ):
  solution.append(lowercase__   )
  printboard(lowercase__   )
  print()
  return True
 for i in range(len(lowercase__   )   ):
  if is_safe(lowercase__					,					lowercase__					,					lowercase__   ):
   lowerCAmelCase__   :				List[Any] 			=				1
   solve(lowercase__					,					row + 1   )
   lowerCAmelCase__   :				Dict 			=				0
 return False



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


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






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






