






"""simple docstring"""



import gc
import threading
import time

import psutil
import torch




class 			lowerCAmelCase__			:
   def __init__(		self      :	Optional[Any]							):


        '''simple docstring'''
        UpperCAmelCase__						:    List[Any]							=							psutil.Process()
        UpperCAmelCase__						:    int							=							False
   def       __a							(		self      :	str							):


        '''simple docstring'''
        UpperCAmelCase__						:    int							=							-1

        while True:
             UpperCAmelCase__						:    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       __a							(		self      :	List[Any]							):


        '''simple docstring'''
        UpperCAmelCase__						:    List[Any]							=							True
        UpperCAmelCase__						:    Dict							=							threading.Thread(target=self.peak_monitor							)
        UpperCAmelCase__						:    Optional[int]							=							True
        self.thread.start()




   def       __a							(		self      :	Optional[Any]							):


        '''simple docstring'''
        UpperCAmelCase__						:    Union[str, Any]							=							False
        self.thread.join()
        return self.cpu_memory_peak




_lowerCAmelCase	:	Optional[int]				=      PeakCPUMemory()


def 	SCREAMING_SNAKE_CASE__       (  )->		Optional[Any]:






     '''simple docstring'''



     UpperCAmelCase__						:    List[Any]							=							{"time": time.time()}

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

     # CPU mem
     UpperCAmelCase__						:    Optional[Any]							=							psutil.Process().memory_info().rss
     cpu_peak_tracker.start()

     # GPU mem
     for i in range(torch.cuda.device_count()				):
          UpperCAmelCase__						:    Tuple							=							torch.cuda.memory_allocated(snake_case				)
     torch.cuda.reset_peak_memory_stats()

     return measures


def 	SCREAMING_SNAKE_CASE__       (  snake_case       : Optional[int]				)->		List[str]:






     '''simple docstring'''



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

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

     # CPU mem
     UpperCAmelCase__						:    Optional[Any]							=							(psutil.Process().memory_info().rss - start_measures["cpu"]) / 2**20
     UpperCAmelCase__						:    List[Any]							=							(cpu_peak_tracker.stop() - start_measures["cpu"]) / 2**20

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

     return measures



def 	SCREAMING_SNAKE_CASE__       (  snake_case       : Dict			,					snake_case       : Any				)->		Dict:






     '''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(snake_case				)]:.2f}MiB'				)
          UpperCAmelCase__						:    str							=							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 	SCREAMING_SNAKE_CASE__       (  snake_case       : Tuple				)->		str:






     '''simple docstring'''



     UpperCAmelCase__						:    List[str]							=							len(snake_case				)
     for i in range(length - 1				):
          UpperCAmelCase__						:    Any							=							i
          for k in range(i + 1			,					snake_case				):
               if collection[k] < collection[least]:
                    UpperCAmelCase__						:    Union[str, Any]							=							k
          if least != i:
               UpperCAmelCase__							,				UpperCAmelCase__						:    Union[str, Any]							=							(collection[i], collection[least])
     return collection


if __name__ == "__main__":
 _lowerCAmelCase	:	List[str]				=      input("""Enter numbers separated by a comma:\n""").strip()
 _lowerCAmelCase	:	Optional[int]				=      [int(item) for item in user_input.split(""",""")]
 print(selection_sort(unsorted))


