


"""simple docstring"""






import torch
from torch import autograd


class       lowerCamelCase_		(      autograd.Function ):





				"""simple docstring"""







				@staticmethod
				def 	lowerCAmelCase__		(    UpperCAmelCase__							,		UpperCAmelCase__							,		UpperCAmelCase__							,		UpperCAmelCase__  ):
								SCREAMING_SNAKE_CASE__  				=					inputs.numel()
								SCREAMING_SNAKE_CASE__  				=					int(0.005 * nb_elems  ) + 1
								if sigmoid:
												SCREAMING_SNAKE_CASE__  				=					(torch.sigmoid(UpperCAmelCase__  ) > threshold).type(inputs.type()  )
								else:
												SCREAMING_SNAKE_CASE__  				=					(inputs > threshold).type(inputs.type()  )
								if mask.sum() < nb_min:
												# We limit the pruning so that at least 0.5% (half a percent) of the weights are remaining
												SCREAMING_SNAKE_CASE__  				=					inputs.flatten().kthvalue(max(nb_elems - nb_min							,		1  )  ).values
												SCREAMING_SNAKE_CASE__  				=					(inputs > k_threshold).type(inputs.type()  )
								return mask






				@staticmethod
				def 	lowerCAmelCase__		(    UpperCAmelCase__							,		UpperCAmelCase__  ):
								return gradOutput, None, None


class       lowerCamelCase_		(      autograd.Function ):





				"""simple docstring"""







				@staticmethod
				def 	lowerCAmelCase__		(    UpperCAmelCase__							,		UpperCAmelCase__							,		UpperCAmelCase__  ):
								SCREAMING_SNAKE_CASE__  				=					inputs.clone()
								SCREAMING_SNAKE_CASE__				,   SCREAMING_SNAKE_CASE__  				=					inputs.flatten().sort(descending=UpperCAmelCase__  )
								SCREAMING_SNAKE_CASE__  				=					int(threshold * inputs.numel()  )

								# flat_out and mask access the same memory.
								SCREAMING_SNAKE_CASE__  				=					mask.flatten()
								SCREAMING_SNAKE_CASE__  				=					0
								SCREAMING_SNAKE_CASE__  				=					1
								return mask






				@staticmethod
				def 	lowerCAmelCase__		(    UpperCAmelCase__							,		UpperCAmelCase__  ):
								return gradOutput, None


class       lowerCamelCase_		(      lowercase ):





				"""simple docstring"""







				@staticmethod
				def 	lowerCAmelCase__		(    UpperCAmelCase__							,		UpperCAmelCase__  ):
								SCREAMING_SNAKE_CASE__  				=					inputs.clone()
								SCREAMING_SNAKE_CASE__				,   SCREAMING_SNAKE_CASE__  				=					inputs.abs().flatten().sort(descending=UpperCAmelCase__  )
								SCREAMING_SNAKE_CASE__  				=					int(threshold * inputs.numel()  )

								# flat_out and mask access the same memory.
								SCREAMING_SNAKE_CASE__  				=					mask.flatten()
								SCREAMING_SNAKE_CASE__  				=					0
								SCREAMING_SNAKE_CASE__  				=					1
								return mask




"""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))
