






def _UpperCAmelCase   (	a						:	float ):
							return 10 - x * x

def _UpperCAmelCase   (	a						:	float  ,					a						:	float ):
							# 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__	  =       a
							while (b - a) >= 0.01:
														# Find middle point
														snake_case__	  =       (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__	  =       c
														else:
																					snake_case__	  =       c
							return c


if __name__ == "__main__":
	import doctest

	doctest.testmod()

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








from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a__       =     {
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a__       =     [
	    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """AutoformerForPrediction""",
	    """AutoformerModel""",
	    """AutoformerPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

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