import numpy as np
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     Any:



      '''simple docstring'''

      _lowerCamelCase           =					np.array(__UpperCAmelCase		)
      _lowerCamelCase           =					np.array(__UpperCAmelCase		)

      _lowerCamelCase           =					abs(predict - actual		)
      _lowerCamelCase           =					difference.mean()

      return score
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     List[str]:



      '''simple docstring'''

      _lowerCamelCase           =					np.array(__UpperCAmelCase		)
      _lowerCamelCase           =					np.array(__UpperCAmelCase		)

      _lowerCamelCase           =					predict - actual
      _lowerCamelCase           =					np.square(__UpperCAmelCase		)

      _lowerCamelCase           =					square_diff.mean()
      return score
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     int:



      '''simple docstring'''

      _lowerCamelCase           =					np.array(__UpperCAmelCase		)
      _lowerCamelCase           =					np.array(__UpperCAmelCase		)

      _lowerCamelCase           =					predict - actual
      _lowerCamelCase           =					np.square(__UpperCAmelCase		)
      _lowerCamelCase           =					square_diff.mean()
      _lowerCamelCase           =					np.sqrt(__UpperCAmelCase		)
      return score
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     Any:



      '''simple docstring'''

      _lowerCamelCase           =					np.array(__UpperCAmelCase		)
      _lowerCamelCase           =					np.array(__UpperCAmelCase		)

      _lowerCamelCase           =					np.log(predict + 1		)
      _lowerCamelCase           =					np.log(actual + 1		)

      _lowerCamelCase           =					log_predict - log_actual
      _lowerCamelCase           =					np.square(__UpperCAmelCase		)
      _lowerCamelCase           =					square_diff.mean()

      _lowerCamelCase           =					np.sqrt(__UpperCAmelCase		)

      return score
def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     Dict:



      '''simple docstring'''

      _lowerCamelCase           =					np.array(__UpperCAmelCase		)
      _lowerCamelCase           =					np.array(__UpperCAmelCase		)

      _lowerCamelCase           =					predict - actual
      _lowerCamelCase           =					np.sum(__UpperCAmelCase		) / len(__UpperCAmelCase		)
      _lowerCamelCase           =					np.sum(__UpperCAmelCase		) / len(__UpperCAmelCase		)
      # print(numerator, denumerator)
      _lowerCamelCase           =					float(__UpperCAmelCase		) / denumerator * 100

      return score




def    __magic_name__(	__UpperCAmelCase			,    __UpperCAmelCase		)    ->     List[Any]:



      '''simple docstring'''

      return np.mean(np.array(__UpperCAmelCase		) == np.array(__UpperCAmelCase		)		)
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,
)


snake_case__						      =			AttentionProcessor



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					List[Any]:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )





class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Dict:






           """simple docstring"""
           _lowerCamelCase           =					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'''					,					A_					,					standard_warn=A_    )
           super().__init__(*A_					,					**A_    )