




def 		_A(       UpperCamelCase__							:			float				)    -> float:
							'''simple docstring'''


							return 10 - x * x







def 		_A(       UpperCamelCase__							:			float				,       UpperCamelCase__							:			float				)    -> float:
							'''simple docstring'''


							if equation(UpperCamelCase__				) * equation(UpperCamelCase__				) >= 0:
														raise ValueError('''Wrong space!'''				)

							__lowercase      =    a
							while (b - a) >= 0.01:
														# Find middle point
														__lowercase      =    (a + b) / 2
														# Check if middle point is root
														if equation(UpperCamelCase__				) == 0.0:
																					break
														# Decide the side to repeat the steps
														if equation(UpperCamelCase__				) * equation(UpperCamelCase__				) < 0:
																					__lowercase      =    c
														else:
																					__lowercase      =    c
							return c


if __name__ == "__main__":
			import doctest

			doctest.testmod()

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












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase__				     = {
    "configuration_m2m_100": ["M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP", "M2M100Config", "M2M100OnnxConfig"],
    "tokenization_m2m_100": ["M2M100Tokenizer"],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCAmelCase__				     = [
			    "M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "M2M100ForConditionalGeneration",
			    "M2M100Model",
			    "M2M100PreTrainedModel",
			]


if TYPE_CHECKING:
			from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
			from .tokenization_mam_aaa import MaMaaaTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mam_aaa import (
						    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
						    MaMaaaForConditionalGeneration,
						    MaMaaaModel,
						    MaMaaaPreTrainedModel,
						)


else:
			import sys

			UpperCAmelCase__				     = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






