

class 						__lowercase       :




			"""simple docstring"""







			def __init__(				self						:  Dict):
									SCREAMING_SNAKE_CASE_:				Dict							= [0]
									SCREAMING_SNAKE_CASE_:				List[str]							= 0



			def  _SCREAMING_SNAKE_CASE    (				self						:  List[str]     ,		lowerCAmelCase__						:  Optional[int]):
									SCREAMING_SNAKE_CASE_:				List[str]							= self.__heap[i]
									while i // 2 > 0:
															if self.__heap[i] > self.__heap[i // 2]:
																					SCREAMING_SNAKE_CASE_:				Optional[Any]							= self.__heap[i // 2]
																					SCREAMING_SNAKE_CASE_:				int							= temporary
															i //= 2



			def  _SCREAMING_SNAKE_CASE    (				self						:  str     ,		lowerCAmelCase__						:  List[Any]):
									self.__heap.append(lowerCAmelCase__)
									self.__size += 1
									self.__swap_up(self.__size)



			def  _SCREAMING_SNAKE_CASE    (				self						:  List[Any]     ,		lowerCAmelCase__						:  int):







									while self.__size >= 2 * i:
															if 2 * i + 1 > self.__size:
																					SCREAMING_SNAKE_CASE_:				Any							= 2 * i
															else:
																					if self.__heap[2 * i] > self.__heap[2 * i + 1]:
																											SCREAMING_SNAKE_CASE_:				Optional[int]							= 2 * i
																					else:
																											SCREAMING_SNAKE_CASE_:				str							= 2 * i + 1
															SCREAMING_SNAKE_CASE_:				Dict							= self.__heap[i]
															if self.__heap[i] < self.__heap[bigger_child]:
																					SCREAMING_SNAKE_CASE_:				int							= self.__heap[bigger_child]
																					SCREAMING_SNAKE_CASE_:				Union[str, Any]							= temporary
															SCREAMING_SNAKE_CASE_:				Any							= bigger_child



			def  _SCREAMING_SNAKE_CASE    (				self						:  Dict):
									SCREAMING_SNAKE_CASE_:				List[Any]							= self.__heap[1]
									SCREAMING_SNAKE_CASE_:				List[str]							= self.__heap[self.__size]
									self.__size -= 1
									self.__heap.pop()
									self.__swap_down(1)
									return max_value



			@property
			def  _SCREAMING_SNAKE_CASE    (				self						:  Union[str, Any]):
									return self.__heap[1:]




			def __len__(				self						:  Optional[int]):
									return self.__size


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	# create an instance of BinaryHeap
	lowerCAmelCase							:						List[str]     			=		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))









import importlib
import sys
from argparse import REMAINDER, ArgumentParser
from pathlib import Path

import torch_xla.distributed.xla_multiprocessing as xmp







def     A_   (					):
						SCREAMING_SNAKE_CASE_:				Tuple							= ArgumentParser(
						    description=(
						        "PyTorch TPU distributed training launch helper utility that will spawn up multiple distributed processes"
						    )					)

						# Optional arguments for the launch helper
						parser.add_argument("--num_cores"       ,			type=_UpperCAmelCase       ,			default=1       ,			help="Number of TPU cores to use (1 or 8)."					)

						# positional
						parser.add_argument(
						    "training_script"       ,			type=_UpperCAmelCase       ,			help=(
						        "The full path to the single TPU training "
						        "program/script to be launched in parallel, "
						        "followed by all the arguments for the "
						        "training script"
						    )       ,			)

						# rest from the training program
						parser.add_argument("training_script_args"       ,			nargs=_UpperCAmelCase					)

						return parser.parse_args()







def     A_   (					):
						SCREAMING_SNAKE_CASE_:				List[str]							= parse_args()

						# Import training_script as a module.
						SCREAMING_SNAKE_CASE_:				Tuple							= Path(args.training_script					)
						sys.path.append(str(script_fpath.parent.resolve()					)					)
						SCREAMING_SNAKE_CASE_:				Union[str, Any]							= script_fpath.stem
						SCREAMING_SNAKE_CASE_:				Optional[Any]							= importlib.import_module(_UpperCAmelCase					)

						# Patch sys.argv
						SCREAMING_SNAKE_CASE_:				int							= [args.training_script] + args.training_script_args + ["--tpu_num_cores", str(args.num_cores					)]

						xmp.spawn(mod._mp_fn       ,			args=()       ,			nprocs=args.num_cores					)


if __name__ == "__main__":
						main()






