


"""simple docstring"""




import gc
import threading
import time

import psutil
import torch
class 					lowerCAmelCase	:




		'''simple docstring'''







		def __init__(	self				)     ->							List[Any]:
								SCREAMING_SNAKE_CASE													=					psutil.Process()
								SCREAMING_SNAKE_CASE													=					False







		def 							__A						(	self				)     ->							Tuple:
								SCREAMING_SNAKE_CASE													=					-1

								while True:
														SCREAMING_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				)     ->							List[Any]:
								SCREAMING_SNAKE_CASE													=					True
								SCREAMING_SNAKE_CASE													=					threading.Thread(target=self.peak_monitor				)
								SCREAMING_SNAKE_CASE													=					True
								self.thread.start()







		def 							__A						(	self				)     ->							List[str]:
								SCREAMING_SNAKE_CASE													=					False
								self.thread.join()
								return self.cpu_memory_peak





__UpperCamelCase						=      PeakCPUMemory()


def     lowercase			()   ->						Optional[int]:
						# Time
						SCREAMING_SNAKE_CASE													=					{'time': time.time()}

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

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

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

						return measures


def     lowercase			(SCREAMING_SNAKE_CASE_		:				Optional[int]  )   ->						List[str]:
						# Time
						SCREAMING_SNAKE_CASE													=					{'time': time.time() - start_measures['time']}

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

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

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

						return measures


def     lowercase			(SCREAMING_SNAKE_CASE_		:				Any ,			SCREAMING_SNAKE_CASE_		:				Union[str, Any]  )   ->						List[str]:
						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(SCREAMING_SNAKE_CASE_  )]:.2f}MiB'  )
												SCREAMING_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'  )






"""simple docstring"""




def     lowercase			(SCREAMING_SNAKE_CASE_		:				int  )   ->						str:
						SCREAMING_SNAKE_CASE													=					int(SCREAMING_SNAKE_CASE_  )
						if decimal in (0, 1):  # Exit cases for the recursion
												return str(SCREAMING_SNAKE_CASE_  )
						SCREAMING_SNAKE_CASE							,				SCREAMING_SNAKE_CASE													=					divmod(SCREAMING_SNAKE_CASE_ ,			2  )
						return binary_recursive(SCREAMING_SNAKE_CASE_  ) + str(SCREAMING_SNAKE_CASE_  )


def     lowercase			(SCREAMING_SNAKE_CASE_		:				str  )   ->						str:
						SCREAMING_SNAKE_CASE													=					str(SCREAMING_SNAKE_CASE_  ).strip()
						if not number:
												raise ValueError('No input value was provided'  )
						SCREAMING_SNAKE_CASE													=					'-' if number.startswith('-'  ) else ''
						SCREAMING_SNAKE_CASE													=					number.lstrip('-'  )
						if not number.isnumeric():
												raise ValueError('Input value is not an integer'  )
						return F'{negative}0b{binary_recursive(int(SCREAMING_SNAKE_CASE_  )  )}'


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

	testmod()


