


import warnings

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


__lowerCAmelCase		       =							logging.get_logger(__name__)





class   __a			(    __UpperCamelCase      ):
 def __init__(   self				, lowerCAmelCase__=None				, **lowerCAmelCase__ )					->				List[str]:




        '''simple docstring'''
        warnings.warn(
            '`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '
            'instead.'				, lowerCAmelCase__				, )
        super().__init__(args=lowerCAmelCase__				, **lowerCAmelCase__ )






import math




def    snake_case_     (  snake_case			,							snake_case     )  ->				float:
       return math.pow(snake_case			,							2     ) - a




def    snake_case_     (  snake_case     )  ->				float:
       return 2 * x




def    snake_case_     (  snake_case     )  ->				float:
       lowercase__:   Dict  			=   2.0

       while start <= a:
              lowercase__:   str  			=   math.pow(snake_case			,							2     )

       return start




def    snake_case_     (  snake_case			,							snake_case = 99_99			,							snake_case = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1     )  ->				float:

       if a < 0:
              raise ValueError('math domain error'     )

       lowercase__:   Tuple  			=   get_initial_point(snake_case     )

       for _ in range(snake_case     ):
              lowercase__:   List[Any]  			=   value
              lowercase__:   Any  			=   value - fx(snake_case			,							snake_case     ) / fx_derivative(snake_case     )
              if abs(prev_value - value     ) < tolerance:
                     return value

       return value


if __name__ == "__main__":
 from doctest import testmod

 testmod()


