from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__		:					int						=					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__		:					Dict						=					{
    "alibaba-damo/mgp-str-base": "https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json",
}

class       snake_case					(      UpperCamelCase_						):
  lowercase_			=     'mgp-str'




  def __init__(      self     :	Dict     , a_     :	Optional[int]=[32, 128]     , a_     :	List[str]=4     , a_     :	List[Any]=3     , a_     :	Union[str, Any]=27     , a_     :	Optional[Any]=38     , a_     :	Any=5_0257     , a_     :	Tuple=3_0522     , a_     :	Any=768     , a_     :	Union[str, Any]=12     , a_     :	List[Any]=12     , a_     :	Tuple=4.0     , a_     :	Union[str, Any]=True     , a_     :	Optional[Any]=False     , a_     :	Tuple=1e-5     , a_     :	List[Any]=0.0     , a_     :	Any=0.0     , a_     :	int=0.0     , a_     :	Optional[int]=False     , a_     :	int=0.02     , **a_     :	List[str]     , )->       Any:




       """simple docstring"""
       super().__init__(**a_				)

       SCREAMING_SNAKE_CASE__				:				Dict			=		image_size
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		patch_size
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		num_channels
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		max_token_length
       SCREAMING_SNAKE_CASE__				:				Tuple			=		num_character_labels
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		num_bpe_labels
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		num_wordpiece_labels
       SCREAMING_SNAKE_CASE__				:				int			=		hidden_size
       SCREAMING_SNAKE_CASE__				:				List[str]			=		num_hidden_layers
       SCREAMING_SNAKE_CASE__				:				Any			=		num_attention_heads
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		mlp_ratio
       SCREAMING_SNAKE_CASE__				:				Dict			=		distilled
       SCREAMING_SNAKE_CASE__				:				str			=		layer_norm_eps
       SCREAMING_SNAKE_CASE__				:				Any			=		drop_rate
       SCREAMING_SNAKE_CASE__				:				List[str]			=		qkv_bias
       SCREAMING_SNAKE_CASE__				:				Dict			=		attn_drop_rate
       SCREAMING_SNAKE_CASE__				:				List[str]			=		drop_path_rate
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		output_aa_attentions
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		initializer_range




class       snake_case					(      UpperCamelCase_						):
  pass




class       snake_case					(      UpperCamelCase_						):
  pass




class       snake_case					:




  def __init__(      self     :	Union[str, Any]				)->       Tuple:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				int			=		[
           [],
           [],
           [],
       ]




  def 	__lowercase(      self     :	int     , a_     :	int     , a_     :	int				)->       None:




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




  def 	__lowercase(      self     :	int				)->       int:




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




  def __str__(      self     :	Any				)->       str:




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




class       snake_case					:




  def __init__(      self     :	Union[str, Any]				)->       Dict:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		[]




  def 	__lowercase(      self     :	List[str]     , a_     :	int				)->       None:




       """simple docstring"""
       if len(self.queue				) == 100:
            raise OverFlowError('Maximum queue size is 100'				)
       self.queue.append(a_				)




  def 	__lowercase(      self     :	int				)->       int:




       """simple docstring"""
       if not self.queue:
            raise UnderFlowError('The queue is empty'				)
       else:
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		min(self.queue				)
            self.queue.remove(a_				)
            return data




  def __str__(      self     :	List[str]				)->       str:




       """simple docstring"""
       return str(self.queue				)







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				int			=		FixedPriorityQueue()
     fpq.enqueue(0     ,  10 )
     fpq.enqueue(1     ,  70 )
     fpq.enqueue(0     ,  1_00 )
     fpq.enqueue(2     ,  1 )
     fpq.enqueue(2     ,  5 )
     fpq.enqueue(1     ,  7 )
     fpq.enqueue(2     ,  4 )
     fpq.enqueue(1     ,  64 )
     fpq.enqueue(0     ,  1_28 )
     print(lowercase__ )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(lowercase__ )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Dict			=		ElementPriorityQueue()
     epq.enqueue(10 )
     epq.enqueue(70 )
     epq.enqueue(1_00 )
     epq.enqueue(1 )
     epq.enqueue(5 )
     epq.enqueue(7 )
     epq.enqueue(4 )
     epq.enqueue(64 )
     epq.enqueue(1_28 )
     print(lowercase__ )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(lowercase__ )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )


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



