

import gc
import threading
import time

import psutil
import torch







class 				lowercase       :




				def __init__(      self ):
											snake_case_           =					psutil.Process()
											snake_case_           =					False




				def 					a							(      self ):
											snake_case_           =					-1

											while True:
																		snake_case_           =					max(self.process.memory_info().rss   ,     self.cpu_memory_peak )

																		# can't sleep or will not catch the peak right (this comment is here on purpose)
																		if not self.peak_monitoring:
																									break




				def 					a							(      self ):
											snake_case_           =					True
											snake_case_           =					threading.Thread(target=self.peak_monitor )
											snake_case_           =					True
											self.thread.start()




				def 					a							(      self ):
											snake_case_           =					False
											self.thread.join()
											return self.cpu_memory_peak



_UpperCAmelCase	:     Dict		       = PeakCPUMemory()





def       __lowerCamelCase			(				):







							'''simple docstring'''






							snake_case_           =					{'time': time.time()}

							gc.collect()
							torch.cuda.empty_cache()

							# CPU mem
							snake_case_           =					psutil.Process().memory_info().rss
							cpu_peak_tracker.start()

							# GPU mem
							for i in range(torch.cuda.device_count()     ):
														snake_case_           =					torch.cuda.memory_allocated(UpperCamelCase__     )
							torch.cuda.reset_peak_memory_stats()

							return measures





def       __lowerCamelCase			(				UpperCamelCase__     ):







							'''simple docstring'''






							snake_case_           =					{'time': time.time() - start_measures['time']}

							gc.collect()
							torch.cuda.empty_cache()

							# CPU mem
							snake_case_           =					(psutil.Process().memory_info().rss - start_measures['cpu']) / 2**20
							snake_case_           =					(cpu_peak_tracker.stop() - start_measures['cpu']) / 2**20

							# GPU mem
							for i in range(torch.cuda.device_count()     ):
														snake_case_           =					(torch.cuda.memory_allocated(UpperCamelCase__     ) - start_measures[str(UpperCamelCase__     )]) / 2**20
														snake_case_           =					(torch.cuda.max_memory_allocated(UpperCamelCase__     ) - start_measures[str(UpperCamelCase__     )]) / 2**20

							return measures





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__     ):







							'''simple docstring'''






							print(F'''{description}:'''     )
							print(F'''- Time: {measures["time"]:.2f}s'''     )
							for i in range(torch.cuda.device_count()     ):
														print(F'''- GPU {i} allocated: {measures[str(UpperCamelCase__     )]:.2f}MiB'''     )
														snake_case_           =					measures[F'''{i}-peak''']
														print(F'''- GPU {i} peak: {peak:.2f}MiB'''     )
							print(F'''- CPU RAM allocated: {measures["cpu"]:.2f}MiB'''     )
							print(F'''- CPU RAM peak: {measures["cpu-peak"]:.2f}MiB'''     )







from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any







@dataclass
class 				lowercase       :
				__SCREAMING_SNAKE_CASE      :				int
				__SCREAMING_SNAKE_CASE      :				Node | None     =    None
				__SCREAMING_SNAKE_CASE      :				Node | None     =    None





def       __lowerCamelCase			(				):







							'''simple docstring'''






							snake_case_           =					Node(1   )
							snake_case_           =					Node(2   )
							snake_case_           =					Node(3   )
							snake_case_           =					Node(4   )
							snake_case_           =					Node(5   )
							return tree





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return [root.data, *preorder(root.left   ), *preorder(root.right   )] if root else []





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return postorder(root.left   ) + postorder(root.right   ) + [root.data] if root else []





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return [*inorder(root.left   ), root.data, *inorder(root.right   )] if root else []





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							return (max(height(root.left   )     ,							height(root.right   )   ) + 1) if root else 0





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							if root is None:
														return output

							snake_case_           =					deque([root]   )

							while process_queue:
														snake_case_           =					process_queue.popleft()
														output.append(node.data   )

														if node.left:
																					process_queue.append(node.left   )
														if node.right:
																					process_queue.append(node.right   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							def populate_output(UpperCamelCase__     ,							UpperCamelCase__   ) -> None:
														if not root:
																					return
														if level == 1:
																					output.append(root.data   )
														elif level > 1:
																					populate_output(root.left     ,							level - 1   )
																					populate_output(root.right     ,							level - 1   )

							populate_output(UpperCamelCase__     ,							UpperCamelCase__   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__     ,							UpperCamelCase__   ):







							'''simple docstring'''






							snake_case_           =					[]

							def populate_output(UpperCamelCase__     ,							UpperCamelCase__   ) -> None:
														if root is None:
																					return
														if level == 1:
																					output.append(root.data   )
														elif level > 1:
																					populate_output(root.right     ,							level - 1   )
																					populate_output(root.left     ,							level - 1   )

							populate_output(UpperCamelCase__     ,							UpperCamelCase__   )
							return output





def       __lowerCamelCase			(				UpperCamelCase__   ):







							'''simple docstring'''






							if root is None:
														return []

							snake_case_           =					[]

							snake_case_           =					0
							snake_case_           =					height(UpperCamelCase__   )

							for h in range(1     ,							height_tree + 1   ):
														if not flag:
																					output.append(get_nodes_from_left_to_right(UpperCamelCase__     ,							UpperCamelCase__   )   )
																					snake_case_           =					1
														else:
																					output.append(get_nodes_from_right_to_left(UpperCamelCase__     ,							UpperCamelCase__   )   )
																					snake_case_           =					0

							return output





def       __lowerCamelCase			(				):  # Main function for testing.







							'''simple docstring'''






							snake_case_           =					make_tree()
							print(F'''In-order Traversal: {inorder(UpperCamelCase__   )}'''   )
							print(F'''Pre-order Traversal: {preorder(UpperCamelCase__   )}'''   )
							print(F'''Post-order Traversal: {postorder(UpperCamelCase__   )}'''     ,							'\n'   )

							print(F'''Height of Tree: {height(UpperCamelCase__   )}'''     ,							'\n'   )

							print('Complete Level Order Traversal: '   )
							print(level_order(UpperCamelCase__   )     ,							'\n'   )

							print('Level-wise order Traversal: '   )

							for level in range(1     ,							height(UpperCamelCase__   ) + 1   ):
														print(F'''Level {level}:'''     ,							get_nodes_from_left_to_right(UpperCamelCase__     ,							level=UpperCamelCase__   )   )

							print('\nZigZag order Traversal: '   )
							print(zigzag(UpperCamelCase__   )   )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()




