


'''simple docstring'''







import gc
import threading
import time

import psutil
import torch






class 		_snake_case     :






						'''simple docstring'''







						def __init__(	self:						int  )				->						Dict:
										__magic_name__					:       Tuple    							=							psutil.Process()
										__magic_name__					:       int    							=							False







						def lowerCAmelCase__			(	self:						str  )				->						Optional[Any]:
										__magic_name__					:       Union[str, Any]    							=							-1

										while True:
														__magic_name__					:       Optional[int]    							=							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 lowerCAmelCase__			(	self:						Tuple  )				->						List[Any]:
										__magic_name__					:       int    							=							True
										__magic_name__					:       List[Any]    							=							threading.Thread(target=self.peak_monitor  )
										__magic_name__					:       Union[str, Any]    							=							True
										self.thread.start()







						def lowerCAmelCase__			(	self:						Tuple  )				->						Optional[Any]:
										__magic_name__					:       str    							=							False
										self.thread.join()
										return self.cpu_memory_peak






_SCREAMING_SNAKE_CASE							: Any										=			PeakCPUMemory()



def     _UpperCamelCase				(			):






				"""simple docstring"""



				__magic_name__					:       Dict    							=							{"time": time.time()}

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

				# CPU mem
				__magic_name__					:       str    							=							psutil.Process().memory_info().rss
				cpu_peak_tracker.start()

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

				return measures



def     _UpperCamelCase				(			UpperCamelCase__		):






				"""simple docstring"""



				__magic_name__					:       Optional[Any]    							=							{"time": time.time() - start_measures["time"]}

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

				# CPU mem
				__magic_name__					:       Dict    							=							(psutil.Process().memory_info().rss - start_measures["cpu"]) / 2**20
				__magic_name__					:       Union[str, Any]    							=							(cpu_peak_tracker.stop() - start_measures["cpu"]) / 2**20

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

				return measures




def     _UpperCamelCase				(			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"""		)
								__magic_name__					:       List[Any]    							=							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"""		)






'''simple docstring'''






class 					UpperCAmelCase	:




      def __init__(     self     :					List[str]     ,     __snake_case     :					str    )							-> Union[str, Any]:
            _lowerCAmelCase					=				val
            _lowerCAmelCase					=				None
            _lowerCAmelCase					=				None




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					int    )							-> Optional[int]:
            if self.val:
                  if val < self.val:
                        if self.left is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.left.insert(__snake_case    )
                  elif val > self.val:
                        if self.right is None:
                              _lowerCAmelCase					=				Node(__snake_case    )
                        else:
                              self.right.insert(__snake_case    )
            else:
                  _lowerCAmelCase					=				val




def   UpperCamelCase__ (						lowerCAmelCase				,      lowerCAmelCase    ):





      """simple docstring"""


      if root:
            inorder(root.left				,      lowerCAmelCase    )
            res.append(root.val    )
            inorder(root.right				,      lowerCAmelCase    )
def   UpperCamelCase__ (						lowerCAmelCase    ):





      """simple docstring"""


      if len(lowerCAmelCase    ) == 0:
            return arr
      _lowerCAmelCase					=				Node(arr[0]    )
      for i in range(1				,      len(lowerCAmelCase    )    ):
            root.insert(arr[i]    )
      # Traverse BST in order.
      _lowerCAmelCase					=				[]
      inorder(lowerCAmelCase				,      lowerCAmelCase    )
      return res


if __name__ == "__main__":
      print(tree_sort([10, 1, 3, 2, 9, 14, 13]))






