





import gc
import threading
import time

import psutil
import torch

class     __SCREAMING_SNAKE_CASE   :






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






							def 			_lowerCamelCase						(  self					):
											UpperCamelCase__			       =     -1

											while True:
															UpperCamelCase__			       =     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					):
											UpperCamelCase__			       =     True
											UpperCamelCase__			       =     threading.Thread(target=self.peak_monitor					)
											UpperCamelCase__			       =     True
											self.thread.start()







							def 			_lowerCamelCase						(  self					):
											UpperCamelCase__			       =     False
											self.thread.join()
											return self.cpu_memory_peak






UpperCamelCase__     =	PeakCPUMemory()





def       _UpperCamelCase       ():






				"""simple docstring"""





				UpperCamelCase__			       =     {"""time""": time.time()}

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

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

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

				return measures





def       _UpperCamelCase       (a__				:Optional[int]    ):






				"""simple docstring"""





				UpperCamelCase__			       =     {"""time""": time.time() - start_measures["""time"""]}

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

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

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

				return measures





def       _UpperCamelCase       (a__				:Optional[int]				,     a__				:Any    ):






				"""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(lowerCamelCase_    )]:.2f}MiB"""    )
								UpperCamelCase__			       =     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"""    )











def       _UpperCamelCase       (a__				:dict    ):






							"""simple docstring"""





							UpperCamelCase__			       =     set()
							# To detect a back edge, keep track of vertices currently in the recursion stack
							UpperCamelCase__			       =     set()
							return any(
							    node not in visited and depth_first_search(a__				,     a__				,     a__				,     a__    )
							    for node in graph    )





def       _UpperCamelCase       (a__				:dict				,     a__				:int				,     a__				:set				,     a__				:set    ):






							"""simple docstring"""





							visited.add(a__    )
							rec_stk.add(a__    )

							for node in graph[vertex]:
														if node not in visited:
																					if depth_first_search(a__				,     a__				,     a__				,     a__    ):
																												return True
														elif node in rec_stk:
																					return True

    # The node needs to be removed from recursion stack before function ends
							rec_stk.remove(a__    )
							return False


if __name__ == "__main__":
					from doctest import testmod

					testmod()




