





def 							SCREAMING_SNAKE_CASE__  (      __a				):
	return 10 - x * x


def 							SCREAMING_SNAKE_CASE__  (      __a				,	__a				):
	# Bolzano theory in order to find if there is a root between a and b
	if equation(__a				) * equation(__a				) >= 0:
		raise ValueError('Wrong space!'				)

	snake_case_						:     Optional[Any]     =		a
	while (b - a) >= 0.01:
		# Find middle point
		snake_case_						:     str     =		(a + b) / 2
		# Check if middle point is root
		if equation(__a				) == 0.0:
			break
		# Decide the side to repeat the steps
		if equation(__a				) * equation(__a				) < 0:
			snake_case_						:     List[Any]     =		c
		else:
			snake_case_						:     List[Any]     =		c
	return c


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						print(bisection(-2, 5))
						print(bisection(0, 6))









import warnings

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


_SCREAMING_SNAKE_CASE 		=						logging.get_logger(__name__)
class SCREAMING_SNAKE_CASE_  (   snake_case_   ):






						def __init__( self : Any						,				_A : str=None						,				**_A : Union[str, Any]		)							->      Any:







							"""simple docstring"""


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

