"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCamelCase										=     logging.get_logger(__name__)

__UpperCamelCase										=     {
    "google/rembert": "https://huggingface.co/google/rembert/resolve/main/config.json",
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}




class 					UpperCamelCase   (							_lowerCAmelCase  ):
       SCREAMING_SNAKE_CASE_						      = "rembert"







       def __init__(					self,				lowerCAmelCase__=25_0300,				lowerCAmelCase__=1152,				lowerCAmelCase__=32,				lowerCAmelCase__=18,				lowerCAmelCase__=256,				lowerCAmelCase__=1664,				lowerCAmelCase__=4608,				lowerCAmelCase__="gelu",				lowerCAmelCase__=0.0,				lowerCAmelCase__=0.0,				lowerCAmelCase__=0.1,				lowerCAmelCase__=512,				lowerCAmelCase__=2,				lowerCAmelCase__=0.02,				lowerCAmelCase__=1e-12,				lowerCAmelCase__=True,				lowerCAmelCase__=0,				lowerCAmelCase__=312,				lowerCAmelCase__=313,				**lowerCAmelCase__,				) -> Any:
            super().__init__(pad_token_id=__UpperCAmelCase,				bos_token_id=__UpperCAmelCase,				eos_token_id=__UpperCAmelCase,				**__UpperCAmelCase)

            snake_case_   			=   vocab_size
            snake_case_   			=   input_embedding_size
            snake_case_   			=   output_embedding_size
            snake_case_   			=   max_position_embeddings
            snake_case_   			=   hidden_size
            snake_case_   			=   num_hidden_layers
            snake_case_   			=   num_attention_heads
            snake_case_   			=   intermediate_size
            snake_case_   			=   hidden_act
            snake_case_   			=   hidden_dropout_prob
            snake_case_   			=   attention_probs_dropout_prob
            snake_case_   			=   classifier_dropout_prob
            snake_case_   			=   initializer_range
            snake_case_   			=   type_vocab_size
            snake_case_   			=   layer_norm_eps
            snake_case_   			=   use_cache
            snake_case_   			=   False




class 					UpperCamelCase   (							_lowerCAmelCase  ):







       @property
       def 						a_		(					self) -> Mapping[str, Mapping[int, str]]:



            if self.task == "multiple-choice":
                 snake_case_   			=   {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
            else:
                 snake_case_   			=   {0: '''batch''', 1: '''sequence'''}
            return OrderedDict(
                [
                    ('input_ids', dynamic_axis),
                    ('attention_mask', dynamic_axis),
                    ('token_type_ids', dynamic_axis),
                ])







       @property
       def 						a_		(					self) -> float:
            return 1e-4


"""simple docstring"""




from collections.abc import Callable

UpperCAmelCase       :    Optional[int]									=			Callable[[float], float]  # type alias for a real -> real function



def 				__a       (			_lowercase							, _lowercase							, _lowercase							, ):







					"""simple docstring"""





					lowerCamelCase__		:   Tuple  				=					float(_lowercase						)
					while True:
										try:
															lowerCamelCase__		:   str  				=					prev_guess - function(_lowercase						) / derivative(_lowercase						)
										except ZeroDivisionError:
															raise ZeroDivisionError('''Could not find root'''						) from None
										if abs(prev_guess - next_guess						) < 10**-5:
															return next_guess
										lowerCamelCase__		:   List[str]  				=					next_guess



def 				__a       (			_lowercase						):







					"""simple docstring"""





					return (x**3) - (2 * x) - 5



def 				__a       (			_lowercase						):







					"""simple docstring"""





					return 3 * (x**2) - 2


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






