



'''simple docstring'''




from typing import TYPE_CHECKING

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


UpperCamelCase__       :	Any    = {
    '''configuration_canine''': ['''CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CanineConfig'''],
    '''tokenization_canine''': ['''CanineTokenizer'''],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__       :	Any    = [
						    '''CANINE_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''CanineForMultipleChoice''',
						    '''CanineForQuestionAnswering''',
						    '''CanineForSequenceClassification''',
						    '''CanineForTokenClassification''',
						    '''CanineLayer''',
						    '''CanineModel''',
						    '''CaninePreTrainedModel''',
						    '''load_tf_weights_in_canine''',
						]


if TYPE_CHECKING:
						from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
						from .tokenization_canine import CanineTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_canine import (
												    CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
												    CanineForMultipleChoice,
												    CanineForQuestionAnswering,
												    CanineForSequenceClassification,
												    CanineForTokenClassification,
												    CanineLayer,
												    CanineModel,
												    CaninePreTrainedModel,
												    load_tf_weights_in_canine,
												)


else:
						import sys

						UpperCamelCase__       :	int    = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



import math




def    snake_case_     (  snake_case			,							snake_case     )  ->				float:
       return math.pow(snake_case			,							2     ) - a




def    snake_case_     (  snake_case     )  ->				float:
       return 2 * x




def    snake_case_     (  snake_case     )  ->				float:
       lowercase__:   Dict  			=   2.0

       while start <= a:
              lowercase__:   str  			=   math.pow(snake_case			,							2     )

       return start




def    snake_case_     (  snake_case			,							snake_case = 99_99			,							snake_case = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1     )  ->				float:

       if a < 0:
              raise ValueError('math domain error'     )

       lowercase__:   Tuple  			=   get_initial_point(snake_case     )

       for _ in range(snake_case     ):
              lowercase__:   List[Any]  			=   value
              lowercase__:   Any  			=   value - fx(snake_case			,							snake_case     ) / fx_derivative(snake_case     )
              if abs(prev_value - value     ) < tolerance:
                     return value

       return value


if __name__ == "__main__":
 from doctest import testmod

 testmod()


