
"""simple docstring"""







import numpy as np
def 			__UpperCAmelCase		(		a_			:		List[str]    ,  a_			:		Any				)     ->       Optional[int]:
   _UpperCAmelCase   	=					np.array(a_				)
   _UpperCAmelCase   	=					np.array(a_				)

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

   return score
def 			__UpperCAmelCase		(		a_			:		List[str]    ,  a_			:		int				)     ->       str:
   _UpperCAmelCase   	=					np.array(a_				)
   _UpperCAmelCase   	=					np.array(a_				)

   _UpperCAmelCase   	=					predict - actual
   _UpperCAmelCase   	=					np.square(a_				)

   _UpperCAmelCase   	=					square_diff.mean()
   return score
def 			__UpperCAmelCase		(		a_			:		List[Any]    ,  a_			:		Any				)     ->       Dict:
   _UpperCAmelCase   	=					np.array(a_				)
   _UpperCAmelCase   	=					np.array(a_				)

   _UpperCAmelCase   	=					predict - actual
   _UpperCAmelCase   	=					np.square(a_				)
   _UpperCAmelCase   	=					square_diff.mean()
   _UpperCAmelCase   	=					np.sqrt(a_				)
   return score
def 			__UpperCAmelCase		(		a_			:		int    ,  a_			:		Optional[int]				)     ->       List[Any]:
   _UpperCAmelCase   	=					np.array(a_				)
   _UpperCAmelCase   	=					np.array(a_				)

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

   _UpperCAmelCase   	=					log_predict - log_actual
   _UpperCAmelCase   	=					np.square(a_				)
   _UpperCAmelCase   	=					square_diff.mean()

   _UpperCAmelCase   	=					np.sqrt(a_				)

   return score
def 			__UpperCAmelCase		(		a_			:		int    ,  a_			:		Dict				)     ->       str:
   _UpperCAmelCase   	=					np.array(a_				)
   _UpperCAmelCase   	=					np.array(a_				)

   _UpperCAmelCase   	=					predict - actual
   _UpperCAmelCase   	=					np.sum(a_				) / len(a_				)
   _UpperCAmelCase   	=					np.sum(a_				) / len(a_				)
   # print(numerator, denumerator)
   _UpperCAmelCase   	=					float(a_				) / denumerator * 1_00

   return score


def 			__UpperCAmelCase		(		a_			:		int    ,  a_			:		Any				)     ->       str:
   return np.mean(np.array(a_				) == np.array(a_				)				)



"""simple docstring"""







import warnings

from .generation import FlaxGenerationMixin






class     __a			(					lowerCAmelCase_			):
       # warning at import time
       warnings.warn(
           'Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will '
           'be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.'				,	lowerCAmelCase_				,	)

