






"""simple docstring"""


from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    """cross_attention""",
    """0.20.0""",
    """Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.""",
    standard_warn=False,
)


_UpperCamelCase :    int      =			AttentionProcessor






class __a ( snake_case_					):



  def __init__(self	:		Union[str, Any]					,      *lowercase_	:		Optional[Any]					,      **lowercase_	:		List[str] )		->				Optional[int]:
   __A						:							Dict      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		Any					,      *lowercase_	:		Tuple					,      **lowercase_	:		Any )		->				Optional[Any]:
   __A						:							List[str]      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		List[str]					,      *lowercase_	:		Any					,      **lowercase_	:		int )		->				List[str]:
   __A						:							Tuple      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		int					,      *lowercase_	:		List[Any]					,      **lowercase_	:		List[str] )		->				Union[str, Any]:
   __A						:							int      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		List[Any]					,      *lowercase_	:		Any					,      **lowercase_	:		List[Any] )		->				Optional[int]:
   __A						:							Union[str, Any]      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		List[str]					,      *lowercase_	:		Any					,      **lowercase_	:		List[str] )		->				int:
   __A						:							Any      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		str					,      *lowercase_	:		str					,      **lowercase_	:		List[Any] )		->				str:
   __A						:							Any      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )






class __a ( snake_case_					):



  def __init__(self	:		Dict					,      *lowercase_	:		str					,      **lowercase_	:		List[str] )		->				List[str]:
   __A						:							Optional[Any]      =						f"{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross' ) )} instead."
   deprecate('cross_attention'					,      '0.20.0'					,      lowercase_					,      standard_warn=lowercase_ )
   super().__init__(*lowercase_					,      **lowercase_ )













"""simple docstring"""


def 					a			(  UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int		)	->		int:
 return len_board * len_board_column * row + column




def 					a			(  UpperCamelCase_				:					list[list[str]]  ,						UpperCamelCase_				:					str  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					int  ,						UpperCamelCase_				:					set[int]  ,						)	->		bool:

 if board[row][column] != word[word_index]:
  return False

 if word_index == len(UpperCamelCase_		) - 1:
  return True

 __A						:							List[str]      =						[(0, 1), (0, -1), (-1, 0), (1, 0)]
 __A						:							Any      =						len(UpperCamelCase_		)
 __A						:							Union[str, Any]      =						len(board[0]		)
 for direction in traverts_directions:
  __A						:							Any      =						row + direction[0]
  __A						:							List[Any]      =						column + direction[1]
  if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
   continue

  __A						:							Any      =						get_point_key(UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_		)
  if key in visited_points_set:
   continue

  visited_points_set.add(UpperCamelCase_		)
  if exits_word(UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						word_index + 1  ,						UpperCamelCase_		):
   return True

  visited_points_set.remove(UpperCamelCase_		)

 return False




def 					a			(  UpperCamelCase_				:					list[list[str]]  ,						UpperCamelCase_				:					str		)	->		bool:
 __A						:							Optional[Any]      =						(
     'The board should be a non empty matrix of single chars strings.'
 )

 __A						:							Dict      =						len(UpperCamelCase_		)
 if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) == 0:
  raise ValueError(UpperCamelCase_		)

 for row in board:
  if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) == 0:
   raise ValueError(UpperCamelCase_		)

  for item in row:
   if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) != 1:
    raise ValueError(UpperCamelCase_		)

    # Validate word
 if not isinstance(UpperCamelCase_  ,						UpperCamelCase_		) or len(UpperCamelCase_		) == 0:
  raise ValueError(
      'The word parameter should be a string of length greater than 0.'		)

 __A						:							List[Any]      =						len(board[0]		)
 for i in range(UpperCamelCase_		):
  for j in range(UpperCamelCase_		):
   if exits_word(
       UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						0  ,						{get_point_key(UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_  ,						UpperCamelCase_		)}		):
    return True

 return False


if __name__ == "__main__":
   import doctest

   doctest.testmod()





