






'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


__A							:							List[str]  							=		logging.get_logger(__name__)

__A							:							str  							=		{
    """xlm-roberta-base""": """https://huggingface.co/xlm-roberta-base/resolve/main/config.json""",
    """xlm-roberta-large""": """https://huggingface.co/xlm-roberta-large/resolve/main/config.json""",
    """xlm-roberta-large-finetuned-conll02-dutch""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll02-spanish""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-english""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-german""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"""
    ),
}
class 				lowercase       (							_lowerCamelCase      ):


    '''simple docstring'''

    lowerCAmelCase__      				=							"xlm-roberta"

    def __init__(					self     :     Dict				,     __lowerCamelCase     :     Optional[Any]=30522				,     __lowerCamelCase     :     Dict=768				,     __lowerCamelCase     :     List[str]=12				,     __lowerCamelCase     :     str=12				,     __lowerCamelCase     :     Tuple=3072				,     __lowerCamelCase     :     List[Any]="gelu"				,     __lowerCamelCase     :     List[Any]=0.1				,     __lowerCamelCase     :     Dict=0.1				,     __lowerCamelCase     :     Any=512				,     __lowerCamelCase     :     List[Any]=2				,     __lowerCamelCase     :     Tuple=0.0_2				,     __lowerCamelCase     :     str=1E-12				,     __lowerCamelCase     :     str=1				,     __lowerCamelCase     :     Optional[int]=0				,     __lowerCamelCase     :     Optional[Any]=2				,     __lowerCamelCase     :     str="absolute"				,     __lowerCamelCase     :     Union[str, Any]=True				,     __lowerCamelCase     :     Dict=None				,     **__lowerCamelCase     :     Dict				,     )							->							Optional[Any]:

     '''simple docstring'''




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

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


    '''simple docstring'''

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

     '''simple docstring'''




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









'''simple docstring'''





from __future__ import annotations






def    lowerCamelCase_     (    lowercase__				,     lowercase__				,     lowercase__):
 lowerCamelCase__  =     list(range(len(lowercase__)))
 lowerCamelCase__  =     [v / w for v, w in zip(lowercase__				,     lowercase__)]
 index.sort(key=lambda lowercase__: ratio[i]				,     reverse=lowercase__)

 lowerCamelCase__  =     0
 lowerCamelCase__  =     [0] * len(lowercase__)
 for i in index:
  if weight[i] <= capacity:
   lowerCamelCase__  =     1
   max_value += value[i]
   capacity -= weight[i]
  else:
   lowerCamelCase__  =     capacity / weight[i]
   max_value += value[i] * capacity / weight[i]
   break

 return max_value, fractions


if __name__ == "__main__":
 import doctest

 doctest.testmod()

