


"""simple docstring"""
import numpy as np







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Optional[Any]:
							snake_case_     							=		np.array(__UpperCamelCase					)
							snake_case_     							=		np.array(__UpperCamelCase					)

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

							return score







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Optional[int]:
							snake_case_     							=		np.array(__UpperCamelCase					)
							snake_case_     							=		np.array(__UpperCamelCase					)

							snake_case_     							=		predict - actual
							snake_case_     							=		np.square(__UpperCamelCase					)

							snake_case_     							=		square_diff.mean()
							return score







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Any:
							snake_case_     							=		np.array(__UpperCamelCase					)
							snake_case_     							=		np.array(__UpperCamelCase					)

							snake_case_     							=		predict - actual
							snake_case_     							=		np.square(__UpperCamelCase					)
							snake_case_     							=		square_diff.mean()
							snake_case_     							=		np.sqrt(__UpperCamelCase					)
							return score







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					List[Any]:
							snake_case_     							=		np.array(__UpperCamelCase					)
							snake_case_     							=		np.array(__UpperCamelCase					)

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

							snake_case_     							=		log_predict - log_actual
							snake_case_     							=		np.square(__UpperCamelCase					)
							snake_case_     							=		square_diff.mean()

							snake_case_     							=		np.sqrt(__UpperCamelCase					)

							return score







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Union[str, Any]:
							snake_case_     							=		np.array(__UpperCamelCase					)
							snake_case_     							=		np.array(__UpperCamelCase					)

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

							return score







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Union[str, Any]:
							return np.mean(np.array(__UpperCamelCase					) == np.array(__UpperCamelCase					)					)





"""simple docstring"""


import warnings

from .generation import FlaxGenerationMixin







class 						lowerCamelCase__   (   __magic_name__							):





			'''simple docstring'''
			# 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.'''					,      __magic_name__					,      )



