





"""simple docstring"""




import gc
import threading
import time

import psutil
import torch
class     SCREAMING_SNAKE_CASE       :


   def __init__(   self      :    Optional[Any]	)->       Optional[int]:





     """simple docstring"""







     lowercase__           =  psutil.Process()
     lowercase__           =  False


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]	)->       str:





     """simple docstring"""







     lowercase__           =  -1

     while True:
       lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]	)->       List[str]:





     """simple docstring"""







     lowercase__           =  True
     lowercase__           =  threading.Thread(target=self.peak_monitor	)
     lowercase__           =  True
     self.thread.start()


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Tuple	)->       List[Any]:





     """simple docstring"""







     lowercase__           =  False
     self.thread.join()
     return self.cpu_memory_peak






lowercase_          =		PeakCPUMemory()




def       __UpperCamelCase  ()    ->       Dict:
  # Time
  lowercase__           =  {'time': time.time()}

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

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

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

  return measures




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		)    ->       Optional[Any]:
  # Time
  lowercase__           =  {'time': time.time() - start_measures['time']}

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

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

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

  return measures




def       __UpperCamelCase  (_SCREAMING_SNAKE_CASE		,						_SCREAMING_SNAKE_CASE		)    ->       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"""		)
    lowercase__           =  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"""		)









class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   pass






class     SCREAMING_SNAKE_CASE       (UpperCAmelCase				):
   pass






class     SCREAMING_SNAKE_CASE       :


   def __init__(   self      :    Dict	)->       Optional[int]:





     """simple docstring"""







     lowercase__           =  [
         [],
         [],
         [],
     ]


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict      ,					a      :    int      ,					a      :    int	)->       None:





     """simple docstring"""







     try:
       if len(self.queues[priority]	) >= 100:
         raise OverflowError('Maximum queue size is 100'	)
       self.queues[priority].append(a	)
     except IndexError:
       raise ValueError('Valid priorities are 0, 1, and 2'	)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    int	)->       int:





     """simple docstring"""







     for queue in self.queues:
       if queue:
         return queue.pop(0	)
     raise UnderFlowError('All queues are empty'	)


   def __str__(   self      :    Dict	)->       str:





     """simple docstring"""







     return "\n".join(f"""Priority {i}: {q}""" for i, q in enumerate(self.queues	)	)






class     SCREAMING_SNAKE_CASE       :


   def __init__(   self      :    Optional[Any]	)->       Any:





     """simple docstring"""







     lowercase__           =  []


   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]      ,					a      :    int	)->       None:





     """simple docstring"""







     if len(self.queue	) == 100:
       raise OverFlowError('Maximum queue size is 100'	)
     self.queue.append(a	)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[Any]	)->       int:





     """simple docstring"""







     if not self.queue:
       raise UnderFlowError('The queue is empty'	)
     else:
       lowercase__           =  min(self.queue	)
       self.queue.remove(a	)
       return data


   def __str__(   self      :    Union[str, Any]	)->       str:





     """simple docstring"""







     return str(self.queue	)






def       __UpperCamelCase  ()    ->       str:
  lowercase__           =  FixedPriorityQueue()
  fpq.enqueue(0		,						10		)
  fpq.enqueue(1		,						70		)
  fpq.enqueue(0		,						100		)
  fpq.enqueue(2		,						1		)
  fpq.enqueue(2		,						5		)
  fpq.enqueue(1		,						7		)
  fpq.enqueue(2		,						4		)
  fpq.enqueue(1		,						64		)
  fpq.enqueue(0		,						128		)
  print(_SCREAMING_SNAKE_CASE		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(_SCREAMING_SNAKE_CASE		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)
  print(fpq.dequeue()		)




def       __UpperCamelCase  ()    ->       List[str]:
  lowercase__           =  ElementPriorityQueue()
  epq.enqueue(10		)
  epq.enqueue(70		)
  epq.enqueue(100		)
  epq.enqueue(1		)
  epq.enqueue(5		)
  epq.enqueue(7		)
  epq.enqueue(4		)
  epq.enqueue(64		)
  epq.enqueue(128		)
  print(_SCREAMING_SNAKE_CASE		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(_SCREAMING_SNAKE_CASE		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)
  print(epq.dequeue()		)


if __name__ == "__main__":
      fixed_priority_queue()
      element_priority_queue()


