



from typing import TYPE_CHECKING

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


__SCREAMING_SNAKE_CASE     =	{"""configuration_vilt""": ["""VILT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViltConfig"""]}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE     =	["""ViltFeatureExtractor"""]
							__SCREAMING_SNAKE_CASE     =	["""ViltImageProcessor"""]
							__SCREAMING_SNAKE_CASE     =	["""ViltProcessor"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE     =	[
							    """VILT_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """ViltForImageAndTextRetrieval""",
							    """ViltForImagesAndTextClassification""",
							    """ViltForTokenClassification""",
							    """ViltForMaskedLM""",
							    """ViltForQuestionAnswering""",
							    """ViltLayer""",
							    """ViltModel""",
							    """ViltPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_vilt import ViltFeatureExtractor
														from .image_processing_vilt import ViltImageProcessor
														from .processing_vilt import ViltProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vilt import (
														    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViltForImageAndTextRetrieval,
														    ViltForImagesAndTextClassification,
														    ViltForMaskedLM,
														    ViltForQuestionAnswering,
														    ViltForTokenClassification,
														    ViltLayer,
														    ViltModel,
														    ViltPreTrainedModel,
														)


else:
							import sys

							__SCREAMING_SNAKE_CASE     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure)




from collections.abc import Callable

__SCREAMING_SNAKE_CASE     =	Callable[[float], float]  # type alias for a real -> real function




def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase			,     ):
			A				:       int														=    float(_lowerCamelCase     )
			while True:
						try:
									A				:       Optional[int]														=    prev_guess - function(_lowerCamelCase     ) / derivative(_lowerCamelCase     )
						except ZeroDivisionError:
									raise ZeroDivisionError("Could not find root"     ) from None
						if abs(prev_guess - next_guess     ) < 10**-5:
									return next_guess
						A				:       Any														=    next_guess




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return (x**3) - (2 * x) - 5




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return 3 * (x**2) - 2


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