"""simple docstring"""
class    __snake_case       (     __lowerCAmelCase				):
      pass







class    __snake_case       (     __lowerCAmelCase				):
      pass







class    __snake_case       :



      def __init__(						self)	->			Optional[Any]:





        '''simple docstring'''





        a__:     Tuple										=	[
            [],
            [],
            [],
        ]



      def   lowerCamelCase_   (						self    ,			lowercase    ,			lowercase)	->			None:





        '''simple docstring'''





        try:
          if len(self.queues[priority]) >= 1_00:
            raise OverflowError('Maximum queue size is 100')
          self.queues[priority].append(lowercase)
        except IndexError:
          raise ValueError('Valid priorities are 0, 1, and 2')



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        for queue in self.queues:
          if queue:
            return queue.pop(0)
        raise UnderFlowError('All queues are empty')



      def __str__(						self)	->			str:





        '''simple docstring'''





        return "\n".join(f'Priority {i}: {q}' for i, q in enumerate(self.queues))







class    __snake_case       :



      def __init__(						self)	->			int:





        '''simple docstring'''





        a__:     Optional[int]										=	[]



      def   lowerCamelCase_   (						self    ,			lowercase)	->			None:





        '''simple docstring'''





        if len(self.queue) == 1_00:
          raise OverFlowError('Maximum queue size is 100')
        self.queue.append(lowercase)



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        if not self.queue:
          raise UnderFlowError('The queue is empty')
        else:
          a__:     int										=	min(self.queue)
          self.queue.remove(lowercase)
          return data



      def __str__(						self)	->			str:





        '''simple docstring'''





        return str(self.queue)







def 						__a   (	)	->int:
  a__:     List[str]										=	FixedPriorityQueue()
  fpq.enqueue(0		,     10   )
  fpq.enqueue(1		,     70   )
  fpq.enqueue(0		,     100   )
  fpq.enqueue(2		,     1   )
  fpq.enqueue(2		,     5   )
  fpq.enqueue(1		,     7   )
  fpq.enqueue(2		,     4   )
  fpq.enqueue(1		,     64   )
  fpq.enqueue(0		,     128   )
  print(_SCREAMING_SNAKE_CASE   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(_SCREAMING_SNAKE_CASE   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )
  print(fpq.dequeue()   )







def 						__a   (	)	->List[str]:
  a__:     Tuple										=	ElementPriorityQueue()
  epq.enqueue(10   )
  epq.enqueue(70   )
  epq.enqueue(100   )
  epq.enqueue(1   )
  epq.enqueue(5   )
  epq.enqueue(7   )
  epq.enqueue(4   )
  epq.enqueue(64   )
  epq.enqueue(128   )
  print(_SCREAMING_SNAKE_CASE   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(_SCREAMING_SNAKE_CASE   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )
  print(epq.dequeue()   )


if __name__ == "__main__":
 fixed_priority_queue()
 element_priority_queue()



"""simple docstring"""
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       (     __lowerCAmelCase				):
      a__        =		"""roberta-prelayernorm"""



      def __init__(						self    ,			lowercase=5_02_65    ,			lowercase=7_68    ,			lowercase=12    ,			lowercase=12    ,			lowercase=30_72    ,			lowercase="gelu"    ,			lowercase=0.1    ,			lowercase=0.1    ,			lowercase=5_12    ,			lowercase=2    ,			lowercase=0.02    ,			lowercase=1e-12    ,			lowercase=1    ,			lowercase=0    ,			lowercase=2    ,			lowercase="absolute"    ,			lowercase=True    ,			lowercase=None    ,			**lowercase    ,			)	->			Any:





        '''simple docstring'''





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

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







class    __snake_case       (     __lowerCAmelCase				):



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





        '''simple docstring'''





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


