



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__       =  {
    '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/config.json''',
    '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/config.json''',
    '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/config.json''',
    '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/config.json''',
    '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json''',
    '''roberta-large-openai-detector''': '''https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json''',
}

class       snake_case__(_a			):

					"""simple docstring"""






					lowercase_								=		"""roberta"""







					def __init__(							self					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	Tuple=50_265      ,   SCREAMING_SNAKE_CASE					:	Dict=768      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=12      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=12      ,   SCREAMING_SNAKE_CASE					:	Any=3_072      ,   SCREAMING_SNAKE_CASE					:	Optional[int]="gelu"      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]=0.1      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]=0.1      ,   SCREAMING_SNAKE_CASE					:	Dict=512      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=2      ,   SCREAMING_SNAKE_CASE					:	List[Any]=0.02      ,   SCREAMING_SNAKE_CASE					:	List[str]=1E-1_2      ,   SCREAMING_SNAKE_CASE					:	List[Any]=1      ,   SCREAMING_SNAKE_CASE					:	str=0      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=2      ,   SCREAMING_SNAKE_CASE					:	Optional[int]="absolute"      ,   SCREAMING_SNAKE_CASE					:	List[str]=True      ,   SCREAMING_SNAKE_CASE					:	Dict=None      ,   **SCREAMING_SNAKE_CASE					:	str      ,   ):
									super().__init__(pad_token_id=__UpperCAmelCase      ,   bos_token_id=__UpperCAmelCase      ,   eos_token_id=__UpperCAmelCase      ,   **__UpperCAmelCase     )

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






class       snake_case__(_a			):

					"""simple docstring"""






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








"""simple docstring"""







from bisect import bisect
from itertools import accumulate


def      lowercase			(				A_  ,   A_  ,   A_  ,   A_       )->      Union[str, Any]:
  '''simple docstring'''







  a						:		Any      							=			sorted(zip(A_  ,   A_       )  ,   key=lambda A_       : x[0] / x[1]  ,   reverse=A_       )
  a							,		a						:		int      							=			[i[0] for i in r], [i[1] for i in r]
  a						:		Union[str, Any]      							=			list(accumulate(A_       )       )
  a						:		Optional[Any]      							=			bisect(A_  ,   A_       )
  return (
      0
      if k == 0
      else sum(vl[:k]       ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
      if k != n
      else sum(vl[:k]       )
  )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






