'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase__     :	Tuple				=			logging.get_logger(__name__)

UpperCamelCase__     :	List[str]				=			{
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}


class 				_lowercase	(      lowerCAmelCase   ):
      '''simple docstring'''


      UpperCAmelCase_      :      Tuple      							=   '''data2vec-text'''




      def __init__(				self					,lowerCamelCase_=30522					,lowerCamelCase_=768					,lowerCamelCase_=12					,lowerCamelCase_=12					,lowerCamelCase_=3072					,lowerCamelCase_="gelu"					,lowerCamelCase_=0.1					,lowerCamelCase_=0.1					,lowerCamelCase_=512					,lowerCamelCase_=2					,lowerCamelCase_=0.02					,lowerCamelCase_=1e-12					,lowerCamelCase_=1					,lowerCamelCase_=0					,lowerCamelCase_=2					,lowerCamelCase_="absolute"					,lowerCamelCase_=True					,lowerCamelCase_=None					,**lowerCamelCase_					,)			->			Optional[int]:



         '''simple docstring'''



         super().__init__(pad_token_id=lowerCamelCase_					,bos_token_id=lowerCamelCase_					,eos_token_id=lowerCamelCase_					,**lowerCamelCase_							)

         UpperCAmelCase__							:				List[Any]   				=  vocab_size
         UpperCAmelCase__							:				int   				=  hidden_size
         UpperCAmelCase__							:				Dict   				=  num_hidden_layers
         UpperCAmelCase__							:				Optional[int]   				=  num_attention_heads
         UpperCAmelCase__							:				Any   				=  hidden_act
         UpperCAmelCase__							:				Any   				=  intermediate_size
         UpperCAmelCase__							:				List[str]   				=  hidden_dropout_prob
         UpperCAmelCase__							:				str   				=  attention_probs_dropout_prob
         UpperCAmelCase__							:				Optional[Any]   				=  max_position_embeddings
         UpperCAmelCase__							:				Union[str, Any]   				=  type_vocab_size
         UpperCAmelCase__							:				Any   				=  initializer_range
         UpperCAmelCase__							:				Optional[Any]   				=  layer_norm_eps
         UpperCAmelCase__							:				Tuple   				=  position_embedding_type
         UpperCAmelCase__							:				Any   				=  use_cache
         UpperCAmelCase__							:				List[Any]   				=  classifier_dropout




class 				_lowercase	(      lowerCAmelCase   ):
      '''simple docstring'''


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



         '''simple docstring'''



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





'''simple docstring'''

import math







def __UpperCamelCase(   _A					:				float  ,			_A					:				float    ):
   '''simple docstring'''
   return math.pow(_A  ,			2    ) - a







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   return 2 * x







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''
   UpperCAmelCase__							:				int   				=  2.0

   while start <= a:
      UpperCAmelCase__							:				int   				=  math.pow(_A  ,			2    )

   return start







def __UpperCamelCase(   _A					:				float  ,			_A					:				int = 99_99  ,			_A					:				float = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1    ):
   '''simple docstring'''

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

   UpperCAmelCase__							:				Any   				=  get_initial_point(_A    )

   for _ in range(_A    ):
      UpperCAmelCase__							:				Optional[Any]   				=  value
      UpperCAmelCase__							:				Tuple   				=  value - fx(_A  ,			_A    ) / fx_derivative(_A    )
      if abs(prev_value - value    ) < tolerance:
         return value

   return value


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

  testmod()




