



"""simple docstring"""
def        lowerCAmelCase_(   lowercase_     :							int						,   lowercase_     :							int							)	->       Dict:




				if b == 0:
								return 1
				if (b % 2) == 0:
								return actual_power(_A						,   int(b / 2							)							) * actual_power(_A						,   int(b / 2							)							)
				else:
								return a * actual_power(_A						,   int(b / 2							)							) * actual_power(_A						,   int(b / 2							)							)



def        lowerCAmelCase_(   lowercase_     :							int						,   lowercase_     :							int							)	->       Tuple:




				if b < 0:
								return 1 / actual_power(_A						,   _A							)
				return actual_power(_A						,   _A							)


if __name__ == "__main__":
			print(power(-2, -3))





"""simple docstring"""
import warnings

from ..trainer import Trainer
from ..utils import logging


__SCREAMING_SNAKE_CASE  :						Dict    							=      logging.get_logger(__name__)


class 							lowerCamelCase_(   A__    ):





					'''simple docstring'''



					def __init__(    self				,       lowerCamelCase__=None				,       **lowerCamelCase__   ):
									warnings.warn(
									    '''`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '''
									    '''instead.'''				,       lowerCamelCase__				,       )
									super().__init__(args=lowerCamelCase__				,       **lowerCamelCase__   )
