


"""simple docstring"""






from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase  =	logging.get_logger(__name__)

_lowerCamelCase  =	{
    'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
}


class       lowerCamelCase_		(      lowercase ):





				"""simple docstring"""







				_lowerCAmelCase   :   List[Any]   				=       MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
				_lowerCAmelCase   :   Union[str, Any]   				=       "mobilebert"



				def __init__(    self							,		UpperCAmelCase__=3_0522							,		UpperCAmelCase__=512							,		UpperCAmelCase__=24							,		UpperCAmelCase__=4							,		UpperCAmelCase__=512							,		UpperCAmelCase__="relu"							,		UpperCAmelCase__=0.0							,		UpperCAmelCase__=0.1							,		UpperCAmelCase__=512							,		UpperCAmelCase__=2							,		UpperCAmelCase__=0.02							,		UpperCAmelCase__=1e-12							,		UpperCAmelCase__=0							,		UpperCAmelCase__=128							,		UpperCAmelCase__=True							,		UpperCAmelCase__=True							,		UpperCAmelCase__=128							,		UpperCAmelCase__=False							,		UpperCAmelCase__=True							,		UpperCAmelCase__=4							,		UpperCAmelCase__="no_norm"							,		UpperCAmelCase__=True							,		UpperCAmelCase__=None							,		**UpperCAmelCase__							,		):
								super().__init__(pad_token_id=UpperCAmelCase__							,		**UpperCAmelCase__  )

								SCREAMING_SNAKE_CASE__  				=					vocab_size
								SCREAMING_SNAKE_CASE__  				=					hidden_size
								SCREAMING_SNAKE_CASE__  				=					num_hidden_layers
								SCREAMING_SNAKE_CASE__  				=					num_attention_heads
								SCREAMING_SNAKE_CASE__  				=					hidden_act
								SCREAMING_SNAKE_CASE__  				=					intermediate_size
								SCREAMING_SNAKE_CASE__  				=					hidden_dropout_prob
								SCREAMING_SNAKE_CASE__  				=					attention_probs_dropout_prob
								SCREAMING_SNAKE_CASE__  				=					max_position_embeddings
								SCREAMING_SNAKE_CASE__  				=					type_vocab_size
								SCREAMING_SNAKE_CASE__  				=					initializer_range
								SCREAMING_SNAKE_CASE__  				=					layer_norm_eps
								SCREAMING_SNAKE_CASE__  				=					embedding_size
								SCREAMING_SNAKE_CASE__  				=					trigram_input
								SCREAMING_SNAKE_CASE__  				=					use_bottleneck
								SCREAMING_SNAKE_CASE__  				=					intra_bottleneck_size
								SCREAMING_SNAKE_CASE__  				=					use_bottleneck_attention
								SCREAMING_SNAKE_CASE__  				=					key_query_shared_bottleneck
								SCREAMING_SNAKE_CASE__  				=					num_feedforward_networks
								SCREAMING_SNAKE_CASE__  				=					normalization_type
								SCREAMING_SNAKE_CASE__  				=					classifier_activation

								if self.use_bottleneck:
												SCREAMING_SNAKE_CASE__  				=					intra_bottleneck_size
								else:
												SCREAMING_SNAKE_CASE__  				=					hidden_size

								SCREAMING_SNAKE_CASE__  				=					classifier_dropout


class       lowerCamelCase_		(      lowercase ):





				"""simple docstring"""







				@property
				def 	lowerCAmelCase__		(    self  ):
								if self.task == "multiple-choice":
												SCREAMING_SNAKE_CASE__  				=					{0: "batch", 1: "choice", 2: "sequence"}
								else:
												SCREAMING_SNAKE_CASE__  				=					{0: "batch", 1: "sequence"}
								return OrderedDict(
								    [
								        ("input_ids", dynamic_axis),
								        ("attention_mask", dynamic_axis),
								        ("token_type_ids", dynamic_axis),
								    ]  )




"""simple docstring"""






class       lowerCamelCase_		:





				"""simple docstring"""







				def __init__(    self  ):
								SCREAMING_SNAKE_CASE__  				=					[0]
								SCREAMING_SNAKE_CASE__  				=					0



				def 	lowerCAmelCase__		(    self							,		UpperCAmelCase__  ):
								SCREAMING_SNAKE_CASE__  				=					self.__heap[i]
								while i // 2 > 0:
												if self.__heap[i] > self.__heap[i // 2]:
																SCREAMING_SNAKE_CASE__  				=					self.__heap[i // 2]
																SCREAMING_SNAKE_CASE__  				=					temporary
												i //= 2



				def 	lowerCAmelCase__		(    self							,		UpperCAmelCase__  ):
								self.__heap.append(UpperCAmelCase__  )
								self.__size += 1
								self.__swap_up(self.__size  )



				def 	lowerCAmelCase__		(    self							,		UpperCAmelCase__  ):
								while self.__size >= 2 * i:
												if 2 * i + 1 > self.__size:
																SCREAMING_SNAKE_CASE__  				=					2 * i
												else:
																if self.__heap[2 * i] > self.__heap[2 * i + 1]:
																				SCREAMING_SNAKE_CASE__  				=					2 * i
																else:
																				SCREAMING_SNAKE_CASE__  				=					2 * i + 1
												SCREAMING_SNAKE_CASE__  				=					self.__heap[i]
												if self.__heap[i] < self.__heap[bigger_child]:
																SCREAMING_SNAKE_CASE__  				=					self.__heap[bigger_child]
																SCREAMING_SNAKE_CASE__  				=					temporary
												SCREAMING_SNAKE_CASE__  				=					bigger_child



				def 	lowerCAmelCase__		(    self  ):
								SCREAMING_SNAKE_CASE__  				=					self.__heap[1]
								SCREAMING_SNAKE_CASE__  				=					self.__heap[self.__size]
								self.__size -= 1
								self.__heap.pop()
								self.__swap_down(1  )
								return max_value



				@property
				def 	lowerCAmelCase__		(    self  ):
								return self.__heap[1:]






				def __len__(    self  ):
								return self.__size


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	# create an instance of BinaryHeap
	_lowerCamelCase  =	BinaryHeap()
	binary_heap.insert(6)
	binary_heap.insert(10)
	binary_heap.insert(15)
	binary_heap.insert(12)
	# pop root(max-values because it is max heap)
	print(binary_heap.pop())  # 15
	print(binary_heap.pop())  # 12
	# get the list and size after operations
	print(binary_heap.get_list)
	print(len(binary_heap))
