code: 
  
  
  
  
  
  
  """simple docstring"""
  
  import numpy as np
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					Any:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							Dict             =    np.array(__UpperCamelCase )
  		lowerCAmelCase_     :							List[Any]             =    np.array(__UpperCamelCase )
  
  		lowerCAmelCase_     :							Dict             =    abs(predict - actual )
  		lowerCAmelCase_     :							Optional[Any]             =    difference.mean()
  
  		return score
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					List[Any]:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							Tuple             =    np.array(__UpperCamelCase )
  		lowerCAmelCase_     :							Union[str, Any]             =    np.array(__UpperCamelCase )
  
  		lowerCAmelCase_     :							List[str]             =    predict - actual
  		lowerCAmelCase_     :							List[str]             =    np.square(__UpperCamelCase )
  
  		lowerCAmelCase_     :							Optional[int]             =    square_diff.mean()
  		return score
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					List[Any]:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							Optional[Any]             =    np.array(__UpperCamelCase )
  		lowerCAmelCase_     :							Optional[Any]             =    np.array(__UpperCamelCase )
  
  		lowerCAmelCase_     :							Union[str, Any]             =    predict - actual
  		lowerCAmelCase_     :							str             =    np.square(__UpperCamelCase )
  		lowerCAmelCase_     :							Tuple             =    square_diff.mean()
  		lowerCAmelCase_     :							int             =    np.sqrt(__UpperCamelCase )
  		return score
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					Any:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							Any             =    np.array(__UpperCamelCase )
  		lowerCAmelCase_     :							str             =    np.array(__UpperCamelCase )
  
  		lowerCAmelCase_     :							Tuple             =    np.log(predict + 1 )
  		lowerCAmelCase_     :							List[Any]             =    np.log(actual + 1 )
  
  		lowerCAmelCase_     :							List[str]             =    log_predict - log_actual
  		lowerCAmelCase_     :							str             =    np.square(__UpperCamelCase )
  		lowerCAmelCase_     :							Tuple             =    square_diff.mean()
  
  		lowerCAmelCase_     :							int             =    np.sqrt(__UpperCamelCase )
  
  		return score
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					Any:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		lowerCAmelCase_     :							Optional[int]             =    np.array(__UpperCamelCase )
  		lowerCAmelCase_     :							List[Any]             =    np.array(__UpperCamelCase )
  
  		lowerCAmelCase_     :							Tuple             =    predict - actual
  		lowerCAmelCase_     :							Any             =    np.sum(__UpperCamelCase ) / len(__UpperCamelCase )
  		lowerCAmelCase_     :							Tuple             =    np.sum(__UpperCamelCase ) / len(__UpperCamelCase )
  		# print(numerator, denumerator)
  		lowerCAmelCase_     :							List[Any]             =    float(__UpperCamelCase ) / denumerator * 100
  
  		return score
  
  
  
  def 	__lowerCamelCase			(						__UpperCamelCase   , __UpperCamelCase )		->					Dict:
  
  		"""simple docstring"""
  
  
  
  
  
  
  
  		return np.mean(np.array(__UpperCamelCase ) == np.array(__UpperCamelCase ) )
  
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  
  from .pipeline_kandinskya_a import KandinskyVaaPipeline
  from .pipeline_kandinsky2_2_controlnet import KandinskyVaaControlnetPipeline
  from .pipeline_kandinsky2_2_controlnet_img2img import KandinskyVaaControlnetImgaImgPipeline
  from .pipeline_kandinsky2_2_img2img import KandinskyVaaImgaImgPipeline
  from .pipeline_kandinsky2_2_inpainting import KandinskyVaaInpaintPipeline
  from .pipeline_kandinsky2_2_prior import KandinskyVaaPriorPipeline
  from .pipeline_kandinsky2_2_prior_emb2emb import KandinskyVaaPriorEmbaEmbPipeline
  