


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,
)


__a   				=      AttentionProcessor







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   Optional[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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   Optional[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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   Optional[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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)







class 				__SCREAMING_SNAKE_CASE   (			UpperCamelCase__   ):


						def __init__(							self							,						*SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__		):
												lowercase			:   Optional[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'''							,						lowerCAmelCase__							,						standard_warn=lowerCAmelCase__		)
												super().__init__(*lowerCAmelCase__							,						**lowerCAmelCase__		)





import numpy as np




def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->Dict:







      """simple docstring"""

      lowercase			:   Optional[Any]					   =		np.array(_UpperCamelCase     )
      lowercase			:   Dict					   =		np.array(_UpperCamelCase     )

      lowercase			:   List[Any]					   =		abs(predict - actual     )
      lowercase			:   int					   =		difference.mean()

      return score




def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->List[Any]:







      """simple docstring"""

      lowercase			:   Tuple					   =		np.array(_UpperCamelCase     )
      lowercase			:   str					   =		np.array(_UpperCamelCase     )

      lowercase			:   List[str]					   =		predict - actual
      lowercase			:   Tuple					   =		np.square(_UpperCamelCase     )

      lowercase			:   Union[str, Any]					   =		square_diff.mean()
      return score




def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->str:







      """simple docstring"""

      lowercase			:   Union[str, Any]					   =		np.array(_UpperCamelCase     )
      lowercase			:   Optional[Any]					   =		np.array(_UpperCamelCase     )

      lowercase			:   Tuple					   =		predict - actual
      lowercase			:   Dict					   =		np.square(_UpperCamelCase     )
      lowercase			:   Union[str, Any]					   =		square_diff.mean()
      lowercase			:   Union[str, Any]					   =		np.sqrt(_UpperCamelCase     )
      return score




def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->List[Any]:







      """simple docstring"""

      lowercase			:   List[str]					   =		np.array(_UpperCamelCase     )
      lowercase			:   List[Any]					   =		np.array(_UpperCamelCase     )

      lowercase			:   Dict					   =		np.log(predict + 1     )
      lowercase			:   List[str]					   =		np.log(actual + 1     )

      lowercase			:   int					   =		log_predict - log_actual
      lowercase			:   Tuple					   =		np.square(_UpperCamelCase     )
      lowercase			:   List[Any]					   =		square_diff.mean()

      lowercase			:   int					   =		np.sqrt(_UpperCamelCase     )

      return score




def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->List[str]:







      """simple docstring"""

      lowercase			:   List[Any]					   =		np.array(_UpperCamelCase     )
      lowercase			:   Optional[int]					   =		np.array(_UpperCamelCase     )

      lowercase			:   Optional[int]					   =		predict - actual
      lowercase			:   Optional[int]					   =		np.sum(_UpperCamelCase     ) / len(_UpperCamelCase     )
      lowercase			:   Dict					   =		np.sum(_UpperCamelCase     ) / len(_UpperCamelCase     )
      # print(numerator, denumerator)
      lowercase			:   int					   =		float(_UpperCamelCase     ) / denumerator * 100

      return score




def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase     )    ->List[Any]:







      """simple docstring"""

      return np.mean(np.array(_UpperCamelCase     ) == np.array(_UpperCamelCase     )     )

