
from collections.abc import Callable

__SCREAMING_SNAKE_CASE			:   int         =     Callable[[float], float]  # type alias for a real -> real function
def     UpperCAmelCase__							(       __magic_name__						:     RealFunc							,  __magic_name__						:     RealFunc							,  __magic_name__						:     int							,  ):


		'''simple docstring'''

		lowerCAmelCase		:					Union[str, Any]  	=     float(__magic_name__  )
		while True:
				try:
						lowerCAmelCase		:					str  	=     prev_guess - function(__magic_name__  ) / derivative(__magic_name__  )
				except ZeroDivisionError:
						raise ZeroDivisionError('''Could not find root'''  ) from None
				if abs(prev_guess - next_guess  ) < 10**-5:
						return next_guess
				lowerCAmelCase		:					Optional[int]  	=     next_guess
def     UpperCAmelCase__							(       __magic_name__						:     float  ):


		'''simple docstring'''

		return (x**3) - (2 * x) - 5
def     UpperCAmelCase__							(       __magic_name__						:     float  ):


		'''simple docstring'''

		return 3 * (x**2) - 2


if __name__ == "__main__":
		print(newton(f, fa, 3))


from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE			:   str         =     {
    'configuration_deta': ['DETA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetaConfig'],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE			:   Optional[int]         =     ['DetaImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE			:   str         =     [
		    'DETA_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'DetaForObjectDetection',
		    'DetaModel',
		    'DetaPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_deta import DetaImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_deta import (
				    DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DetaForObjectDetection,
				    DetaModel,
				    DetaPreTrainedModel,
				)

else:
		import sys

		__SCREAMING_SNAKE_CASE			:   Dict         =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
