





from collections import OrderedDict
from typing import Mapping

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


_snake_case  :   Union[str, Any]						   =  logging.get_logger(__name__)

_snake_case  :   Dict						   =  {
    'andreasmadsen/efficient_mlm_m0.40': (
        'https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'
    ),
}



class     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			"""roberta-prelayernorm"""






  def __init__(    self			:		Tuple ,  lowerCAmelCase_			:		Dict=5_0_2_6_5 ,  lowerCAmelCase_			:		int=7_6_8 ,  lowerCAmelCase_			:		Tuple=1_2 ,  lowerCAmelCase_			:		int=1_2 ,  lowerCAmelCase_			:		Union[str, Any]=3_0_7_2 ,  lowerCAmelCase_			:		str="gelu" ,  lowerCAmelCase_			:		int=0.1 ,  lowerCAmelCase_			:		Dict=0.1 ,  lowerCAmelCase_			:		List[str]=5_1_2 ,  lowerCAmelCase_			:		str=2 ,  lowerCAmelCase_			:		str=0.02 ,  lowerCAmelCase_			:		Optional[Any]=1e-12 ,  lowerCAmelCase_			:		str=1 ,  lowerCAmelCase_			:		List[Any]=0 ,  lowerCAmelCase_			:		int=2 ,  lowerCAmelCase_			:		Tuple="absolute" ,  lowerCAmelCase_			:		Optional[int]=True ,  lowerCAmelCase_			:		int=None ,  **lowerCAmelCase_			:		int ,  )							->						Tuple:
     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     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


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








class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		Union[str, Any] ,  lowerCAmelCase_			:		List[str] ,  lowerCAmelCase_			:		int ,  lowerCAmelCase_			:		Dict					)							->						List[str]:
     __lowerCAmelCase							     =     name
     __lowerCAmelCase							     =     value
     __lowerCAmelCase							     =     weight






  def __repr__(    self			:		Union[str, Any]					)							->						List[str]:
     return f"""{self.__class__.__name__}({self.name}, {self.value}, {self.weight})"""






  def     lowercase		(    self			:		int					)							->						Optional[int]:
     return self.value






  def     lowercase		(    self			:		Optional[Any]					)							->						Union[str, Any]:
     return self.name






  def     lowercase		(    self			:		List[Any]					)							->						Tuple:
     return self.weight






  def     lowercase		(    self			:		int					)							->						Dict:
     return self.value / self.weight





def   a_   (			lowerCAmelCase_				:      Dict,     lowerCAmelCase_				:      int,     lowerCAmelCase_				:      Optional[int]     ):
   __lowerCAmelCase							     =     []
   for i in range(len(lowerCAmelCase_     )     ):
      menu.append(Things(name[i],     value[i],     weight[i]     )     )
   return menu

def   a_   (			lowerCAmelCase_				:      Optional[int],     lowerCAmelCase_				:      List[Any],     lowerCAmelCase_				:      Optional[Any]     ):
   __lowerCAmelCase							     =     sorted(lowerCAmelCase_,     key=lowerCAmelCase_,     reverse=lowerCAmelCase_     )
   __lowerCAmelCase							     =     []
   __lowerCAmelCase     ,     __lowerCAmelCase							     =     0.0, 0.0
   for i in range(len(lowerCAmelCase_     )     ):
      if (total_cost + items_copy[i].get_weight()) <= max_cost:
         result.append(items_copy[i]     )
         total_cost += items_copy[i].get_weight()
         total_value += items_copy[i].get_value()
   return (result, total_value)

def   a_   (			):
   pass


if __name__ == "__main__":
     import doctest

     doctest.testmod()

