


from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase__      		= logging.get_logger(__name__)

lowerCAmelCase__      		= {
    'facebook/data2vec-text-base': 'https://huggingface.co/data2vec/resolve/main/config.json',
}







class      lowerCAmelCase__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= "data2vec-text"


     def __init__(						self ,						__lowerCamelCase=3_0_5_2_2 ,						__lowerCamelCase=7_6_8 ,						__lowerCamelCase=1_2 ,						__lowerCamelCase=1_2 ,						__lowerCamelCase=3_0_7_2 ,						__lowerCamelCase="gelu" ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=0.1 ,						__lowerCamelCase=5_1_2 ,						__lowerCamelCase=2 ,						__lowerCamelCase=0.0_2 ,						__lowerCamelCase=1e-12 ,						__lowerCamelCase=1 ,						__lowerCamelCase=0 ,						__lowerCamelCase=2 ,						__lowerCamelCase="absolute" ,						__lowerCamelCase=True ,						__lowerCamelCase=None ,						**__lowerCamelCase ,						)			->				Optional[int]:
            super().__init__(pad_token_id=__lowerCamelCase ,						bos_token_id=__lowerCamelCase ,						eos_token_id=__lowerCamelCase ,						**__lowerCamelCase)

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







class      lowerCAmelCase__       (				a):




     '''simple docstring'''


     @property
     def  _lowerCamelCase (						self)			->				Mapping[str, Mapping[int, str]]:
            if self.task == "multiple-choice":
                   _A      :       Optional[Any]				    = {0: "batch", 1: "choice", 2: "sequence"}
            else:
                   _A      :       Any				    = {0: "batch", 1: "sequence"}
            return OrderedDict(
                [
                    ("input_ids", dynamic_axis),
                    ("attention_mask", dynamic_axis),
                ])




def 							_UpperCAmelCase				(UpperCamelCase__     :  Optional[Any]				,							UpperCamelCase__     :  Union[str, Any]						):
       # "extended trapezoidal rule"
       # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
       _A      :       int				    = (boundary[1] - boundary[0]) / steps
       _A      :       Any				    = boundary[0]
       _A      :       List[Any]				    = boundary[1]
       _A      :       str				    = make_points(UpperCamelCase__				,							UpperCamelCase__				,							UpperCamelCase__						)
       _A      :       str				    = 0.0
       y += (h / 2.0) * f(UpperCamelCase__						)
       for i in x_i:
              # print(i)
              y += h * f(UpperCamelCase__						)
       y += (h / 2.0) * f(UpperCamelCase__						)
       return y
def 							_UpperCAmelCase				(UpperCamelCase__     :  List[str]				,							UpperCamelCase__     :  Optional[int]				,							UpperCamelCase__     :  Any						):
       _A      :       Optional[int]				    = a + h
       while x < (b - h):
              yield x
              _A      :       Dict				    = x + h
def 							_UpperCAmelCase				(UpperCamelCase__     :  Optional[int]						):  # enter your function here
       _A      :       Any				    = (x - 0) * (x - 0)
       return y
def 							_UpperCAmelCase				():
       _A      :       Optional[Any]				    = 0.0  # Lower bound of integration
       _A      :       Optional[int]				    = 1.0  # Upper bound of integration
       _A      :       List[Any]				    = 10.0  # define number of steps or resolution
       _A      :       Any				    = [a, b]  # define boundary of integration
       _A      :       Tuple				    = method_a(UpperCamelCase__				,							UpperCamelCase__						)
       print(f"y = {y}"						)


if __name__ == "__main__":
    main()
