code: 
  
  
  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__		)
  
  
style_context: 
  
  
  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     )     )
  
  