


class     _lowercase				(							lowercase__):


       """simple docstring"""




       pass







class     _lowercase				(							lowercase__):


       """simple docstring"""




       pass







class     _lowercase				:


       """simple docstring"""




       def __init__(     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       Optional[int]					=						[
                 [],
                 [],
                 [],
             ]





       def 		lowerCAmelCase  (     self							:    Dict      ,   __lowerCamelCase							:    int      ,   __lowerCamelCase							:    int ):


             '''simple docstring'''



             try:
                   if len(self.queues[priority] ) >= 100:
                         raise OverflowError("Maximum queue size is 100" )
                   self.queues[priority].append(__lowerCamelCase )
             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							:    Optional[Any] ):


             '''simple docstring'''



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







class     _lowercase				:


       """simple docstring"""




       def __init__(     self							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       Union[str, Any]					=						[]





       def 		lowerCAmelCase  (     self							:    Optional[int]      ,   __lowerCamelCase							:    int ):


             '''simple docstring'''



             if len(self.queue ) == 100:
                   raise OverFlowError("Maximum queue size is 100" )
             self.queue.append(__lowerCamelCase )





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             if not self.queue:
                   raise UnderFlowError("The queue is empty" )
             else:
                   lowerCamelCase__	:       str					=						min(self.queue )
                   self.queue.remove(__lowerCamelCase )
                   return data





       def __str__(     self							:    Union[str, Any] ):


             '''simple docstring'''



             return str(self.queue )



def    lowercase_	(	):

      """simple docstring"""




      lowerCamelCase__	:       int					=						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(_A		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(_A		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)
      print(fpq.dequeue()		)

def    lowercase_	(	):

      """simple docstring"""




      lowerCamelCase__	:       str					=						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(_A		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(_A		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)
      print(epq.dequeue()		)


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






from collections import OrderedDict
from typing import Mapping

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


A   :					Dict	=      logging.get_logger(__name__)

A   :					Union[str, Any]	=      {
    "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     _lowercase				(							lowercase__):


       """simple docstring"""




       A__      		=    "roberta"





       def __init__(     self							:    int      ,   __lowerCamelCase							:    Dict=50265      ,   __lowerCamelCase							:    Optional[int]=768      ,   __lowerCamelCase							:    Optional[Any]=12      ,   __lowerCamelCase							:    Optional[int]=12      ,   __lowerCamelCase							:    int=3072      ,   __lowerCamelCase							:    Dict="gelu"      ,   __lowerCamelCase							:    Union[str, Any]=0.1      ,   __lowerCamelCase							:    int=0.1      ,   __lowerCamelCase							:    Tuple=512      ,   __lowerCamelCase							:    List[str]=2      ,   __lowerCamelCase							:    Any=0.0_2      ,   __lowerCamelCase							:    Optional[int]=1E-1_2      ,   __lowerCamelCase							:    List[Any]=1      ,   __lowerCamelCase							:    int=0      ,   __lowerCamelCase							:    Any=2      ,   __lowerCamelCase							:    Tuple="absolute"      ,   __lowerCamelCase							:    Tuple=True      ,   __lowerCamelCase							:    str=None      ,   **__lowerCamelCase							:    Optional[Any]      ,   ):


             '''simple docstring'''



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

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







class     _lowercase				(							lowercase__):


       """simple docstring"""




       @property
       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



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


