'''simple docstring'''




import gc
import threading
import time

import psutil
import torch


class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self				)    ->     List[Any]:
        lowercase_					:       str     				=					psutil.Process()
        lowercase_					:       str     				=					False
   def 		_lowerCamelCase (self				)    ->     str:
        lowercase_					:       Tuple     				=					-1

        while True:
             lowercase_					:       Tuple     				=					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				)    ->     List[str]:
        lowercase_					:       List[str]     				=					True
        lowercase_					:       List[str]     				=					threading.Thread(target=self.peak_monitor				)
        lowercase_					:       Tuple     				=					True
        self.thread.start()





   def 		_lowerCamelCase (self				)    ->     Dict:
        lowercase_					:       Tuple     				=					False
        self.thread.join()
        return self.cpu_memory_peak



_A								=   PeakCPUMemory()

def _UpperCamelCase   (       ):
     # Time
     lowercase_					:       Dict     				=					{'time': time.time()}

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

     # CPU mem
     lowercase_					:       List[str]     				=					psutil.Process().memory_info().rss
     cpu_peak_tracker.start()

     # GPU mem
     for i in range(torch.cuda.device_count()							):
          lowercase_					:       Union[str, Any]     				=					torch.cuda.memory_allocated(SCREAMING_SNAKE_CASE_							)
     torch.cuda.reset_peak_memory_stats()

     return measures

def _UpperCamelCase   (       SCREAMING_SNAKE_CASE_							):
     # Time
     lowercase_					:       Any     				=					{'time': time.time() - start_measures['time']}

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

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

     # GPU mem
     for i in range(torch.cuda.device_count()							):
          lowercase_					:       Any     				=					(torch.cuda.memory_allocated(SCREAMING_SNAKE_CASE_							) - start_measures[str(SCREAMING_SNAKE_CASE_							)]) / 2**20
          lowercase_					:       Dict     				=					(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_							):
     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_					:       Union[str, 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__  (       _snake_case			):






   """simple docstring"""
   pass



class       UpperCAmelCase__  (       _snake_case			):






   """simple docstring"""
   pass



class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self				)    ->     List[str]:
        lowercase_					:       Optional[int]     				=					[
            [],
            [],
            [],
        ]
   def 		_lowerCamelCase (self       ,				_a       ,				_a				)    ->     None:
        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 		_lowerCamelCase (self				)    ->     int:
        for queue in self.queues:
             if queue:
                  return queue.pop(0				)
        raise UnderFlowError('All queues are empty'				)





   def __str__(self				)    ->     str:
        return "\n".join(f'''Priority {i}: {q}''' for i, q in enumerate(self.queues				)				)



class       UpperCAmelCase__  :






   """simple docstring"""
   def __init__(self				)    ->     str:
        lowercase_					:       List[Any]     				=					[]
   def 		_lowerCamelCase (self       ,				_a				)    ->     None:
        if len(self.queue				) == 100:
             raise OverFlowError('Maximum queue size is 100'				)
        self.queue.append(_a				)
   def 		_lowerCamelCase (self				)    ->     int:
        if not self.queue:
             raise UnderFlowError('The queue is empty'				)
        else:
             lowercase_					:       Tuple     				=					min(self.queue				)
             self.queue.remove(_a				)
             return data





   def __str__(self				)    ->     str:
        return str(self.queue				)



def _UpperCamelCase   (       ):
     lowercase_					:       Any     				=					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   (       ):
     lowercase_					:       Optional[int]     				=					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()




