



'''simple docstring'''

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


UpperCAmelCase     		=   logging.get_logger(__name__)

UpperCAmelCase     		=   {}

class __snake_case(				lowerCamelCase__ ):


						'''simple docstring'''



						UpperCAmelCase							:   List[str]									=		"""llama"""
						UpperCAmelCase							:   int									=		["""past_key_values"""]


						def __init__( self     ,	A_=3_2000     ,	A_=4096     ,	A_=1_1008     ,	A_=32     ,	A_=32     ,	A_=None     ,	A_="silu"     ,	A_=2048     ,	A_=0.0_2     ,	A_=1e-6     ,	A_=True     ,	A_=0     ,	A_=1     ,	A_=2     ,	A_=1     ,	A_=False     ,	A_=None     ,	**A_     ,	)     ->     List[str]:
							lowerCAmelCase   =     vocab_size
							lowerCAmelCase   =     max_position_embeddings
							lowerCAmelCase   =     hidden_size
							lowerCAmelCase   =     intermediate_size
							lowerCAmelCase   =     num_hidden_layers
							lowerCAmelCase   =     num_attention_heads

							# for backward compatibility
							if num_key_value_heads is None:
								lowerCAmelCase   =     num_attention_heads

							lowerCAmelCase   =     num_key_value_heads
							lowerCAmelCase   =     hidden_act
							lowerCAmelCase   =     initializer_range
							lowerCAmelCase   =     rms_norm_eps
							lowerCAmelCase   =     pretraining_tp
							lowerCAmelCase   =     use_cache
							lowerCAmelCase   =     rope_scaling
							self._rope_scaling_validation()

							super().__init__(
							    pad_token_id=snake_case__     ,	bos_token_id=snake_case__     ,	eos_token_id=snake_case__     ,	tie_word_embeddings=snake_case__     ,	**snake_case__     ,	)




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





							if self.rope_scaling is None:
								return

							if not isinstance(self.rope_scaling     ,	snake_case__				) or len(self.rope_scaling				) != 2:
								raise ValueError(
								    """`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, """
								    f'got {self.rope_scaling}'				)
							lowerCAmelCase   =     self.rope_scaling.get("""type"""     ,	snake_case__				)
							lowerCAmelCase   =     self.rope_scaling.get("""factor"""     ,	snake_case__				)
							if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
								raise ValueError(
								    f'`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'				)
							if rope_scaling_factor is None or not isinstance(snake_case__     ,	snake_case__				) or rope_scaling_factor <= 1.0:
								raise ValueError(f'`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'				)




'''simple docstring'''

class __snake_case(				_lowerCAmelCase ):


						'''simple docstring'''



						pass







class __snake_case(				_lowerCAmelCase ):


						'''simple docstring'''



						pass







class __snake_case:


						'''simple docstring'''



						def __init__( self				)     ->     int:
							lowerCAmelCase   =     [
							    [],
							    [],
							    [],
							]


						def     __snake_case   ( self     ,	A_     ,	A_				)     ->     None:
							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     __snake_case   ( self				)     ->     int:
							for queue in self.queues:
								if queue:
									return queue.pop(0				)
							raise UnderFlowError("""All queues are empty"""				)




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







class __snake_case:


						'''simple docstring'''



						def __init__( self				)     ->     Dict:
							lowerCAmelCase   =     []


						def     __snake_case   ( self     ,	A_				)     ->     None:
							if len(self.queue				) == 100:
								raise OverFlowError("""Maximum queue size is 100"""				)
							self.queue.append(A_				)


						def     __snake_case   ( self				)     ->     int:
							if not self.queue:
								raise UnderFlowError("""The queue is empty"""				)
							else:
								lowerCAmelCase   =     min(self.queue				)
								self.queue.remove(A_				)
								return data




						def __str__( self				)     ->     str:
							return str(self.queue				)







def 		_snake_case		( )      ->						Tuple:







	"""simple docstring"""
	lowerCAmelCase   =     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 		_snake_case		( )      ->						Optional[Any]:







	"""simple docstring"""
	lowerCAmelCase   =     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()