import gc
import threading
import time

import psutil
import torch

class       snake_case					:




		def __init__(      self     :	Dict				)->       List[Any]:




							"""simple docstring"""
							SCREAMING_SNAKE_CASE__				:				List[str]			=		psutil.Process()
							SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		False




		def 	__lowercase(      self     :	Dict				)->       Optional[Any]:




							"""simple docstring"""
							SCREAMING_SNAKE_CASE__				:				str			=		-1

							while True:
												SCREAMING_SNAKE_CASE__				:				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 	__lowercase(      self     :	Any				)->       Tuple:




							"""simple docstring"""
							SCREAMING_SNAKE_CASE__				:				str			=		True
							SCREAMING_SNAKE_CASE__				:				Optional[int]			=		threading.Thread(target=self.peak_monitor				)
							SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		True
							self.thread.start()




		def 	__lowercase(      self     :	Tuple				)->       List[str]:




							"""simple docstring"""
							SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		False
							self.thread.join()
							return self.cpu_memory_peak




SCREAMING_SNAKE_CASE__		:					Union[str, Any]						=					PeakCPUMemory()







def     _a				(      ):







					'''simple docstring'''


					SCREAMING_SNAKE_CASE__				:				Dict			=		{'time': time.time()}

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

					# CPU mem
					SCREAMING_SNAKE_CASE__				:				Tuple			=		psutil.Process().memory_info().rss
					cpu_peak_tracker.start()

					# GPU mem
					for i in range(torch.cuda.device_count() ):
										SCREAMING_SNAKE_CASE__				:				Dict			=		torch.cuda.memory_allocated(lowercase__ )
					torch.cuda.reset_peak_memory_stats()

					return measures







def     _a				(      lowercase__  :			Tuple ):







					'''simple docstring'''


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

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

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

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

					return measures







def     _a				(      lowercase__  :			Dict     ,  lowercase__  :			Optional[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(lowercase__ )]:.2f}MiB''' )
										SCREAMING_SNAKE_CASE__				:				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''' )




def     _a				(      lowercase__  :			Optional[int] ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[]
     SCREAMING_SNAKE_CASE__				:				List[Any]			=		set({'(', '[', '{'} )
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		set({')', ']', '}'} )
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		{'{': '}', '[': ']', '(': ')'}

     for i in range(len(lowercase__ ) ):
          if s[i] in open_brackets:
               stack.append(s[i] )

          elif s[i] in closed_brackets and (
              len(lowercase__ ) == 0 or (len(lowercase__ ) > 0 and open_to_closed[stack.pop()] != s[i])
          ):
               return False

     return len(lowercase__ ) == 0







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Tuple			=		input('Enter sequence of brackets: ' )
     if is_balanced(lowercase__ ):
          print(lowercase__     ,  'is balanced' )
     else:
          print(lowercase__     ,  'is not balanced' )


if __name__ == "__main__":
      main()



