



from collections import OrderedDict
from typing import Mapping

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


lowercase_						=       logging.get_logger(__name__)

lowercase_						=       {
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}
class 			_snake_case     (   lowercase__):
    UpperCamelCase__			:   List[Any]       						="""roberta-prelayernorm"""




    def __init__(  self   :  Optional[int],   __lowercase   :  List[Any]=5_0265,   __lowercase   :  int=768,   __lowercase   :  int=12,   __lowercase   :  Optional[Any]=12,   __lowercase   :  int=3072,   __lowercase   :  str="gelu",   __lowercase   :  Any=0.1,   __lowercase   :  Optional[int]=0.1,   __lowercase   :  int=512,   __lowercase   :  List[Any]=2,   __lowercase   :  Tuple=0.02,   __lowercase   :  List[Any]=1e-1_2,   __lowercase   :  str=1,   __lowercase   :  int=0,   __lowercase   :  Optional[Any]=2,   __lowercase   :  Union[str, Any]="absolute",   __lowercase   :  Dict=True,   __lowercase   :  Tuple=None,   **__lowercase   :  Any,   ):
       super().__init__(pad_token_id=__lowercase,   bos_token_id=__lowercase,   eos_token_id=__lowercase,   **__lowercase  )

       lowercase__   					=			vocab_size
       lowercase__   					=			hidden_size
       lowercase__   					=			num_hidden_layers
       lowercase__   					=			num_attention_heads
       lowercase__   					=			hidden_act
       lowercase__   					=			intermediate_size
       lowercase__   					=			hidden_dropout_prob
       lowercase__   					=			attention_probs_dropout_prob
       lowercase__   					=			max_position_embeddings
       lowercase__   					=			type_vocab_size
       lowercase__   					=			initializer_range
       lowercase__   					=			layer_norm_eps
       lowercase__   					=			position_embedding_type
       lowercase__   					=			use_cache
       lowercase__   					=			classifier_dropout
class 			_snake_case     (   lowercase__):




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









def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			int(SCREAMING_SNAKE_CASE_					)
			if decimal in (0, 1):  # Exit cases for the recursion
						return str(SCREAMING_SNAKE_CASE_					)
			lowercase__					,    lowercase__   					=			divmod(SCREAMING_SNAKE_CASE_  ,					2					)
			return binary_recursive(SCREAMING_SNAKE_CASE_					) + str(SCREAMING_SNAKE_CASE_					)



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			str(SCREAMING_SNAKE_CASE_					).strip()
			if not number:
						raise ValueError("No input value was provided"					)
			lowercase__   					=			"-" if number.startswith("-"					) else ""
			lowercase__   					=			number.lstrip("-"					)
			if not number.isnumeric():
						raise ValueError("Input value is not an integer"					)
			return f'''{negative}0b{binary_recursive(int(SCREAMING_SNAKE_CASE_					)					)}'''


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

							testmod()




