


import gc
import threading
import time

import psutil
import torch

class     UpperCAmelCase__ :



     '''simple docstring'''




     def __init__(			self							:							Any		):





            """simple docstring"""



            _lowercase       :					List[str]     							=      psutil.Process()
            _lowercase       :					Dict     							=      False




     def 	lowerCAmelCase_ (			self							:							Optional[Any]		):





            """simple docstring"""



            _lowercase       :					List[Any]     							=      -1

            while True:
                   _lowercase       :					Dict     							=      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							:							Optional[Any]		):





            """simple docstring"""



            _lowercase       :					Optional[Any]     							=      True
            _lowercase       :					Optional[Any]     							=      threading.Thread(target=self.peak_monitor		)
            _lowercase       :					Optional[Any]     							=      True
            self.thread.start()




     def 	lowerCAmelCase_ (			self							:							Dict		):





            """simple docstring"""



            _lowercase       :					Optional[int]     							=      False
            self.thread.join()
            return self.cpu_memory_peak




UpperCamelCase__												=      PeakCPUMemory()

def 	UpperCamelCase__ (     )    ->				List[Any]:




       '''simple docstring'''






       _lowercase       :					Optional[int]     							=      {'''time''': time.time()}

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

       # CPU mem
       _lowercase       :					int     							=      psutil.Process().memory_info().rss
       cpu_peak_tracker.start()

       # GPU mem
       for i in range(torch.cuda.device_count()      ):
              _lowercase       :					int     							=      torch.cuda.memory_allocated(_UpperCAmelCase      )
       torch.cuda.reset_peak_memory_stats()

       return measures

def 	UpperCamelCase__ (     UpperCAmelCase_      )    ->				Dict:




       '''simple docstring'''






       _lowercase       :					Any     							=      {'''time''': time.time() - start_measures['''time''']}

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

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

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

       return measures







def 	UpperCamelCase__ (     UpperCAmelCase_     ,  UpperCAmelCase_      )    ->				List[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(_UpperCAmelCase      )]:.2f}MiB'      )
              _lowercase       :					Dict     							=      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      UpperCAmelCase_    (    _UpperCAmelCase							:Any  ,						_UpperCAmelCase							:Dict				)	->				Union[str, Any]:
     '''simple docstring'''


     A_          =       [1]
     for i in range(2  ,						_UpperCAmelCase				):
          factorials.append(factorials[-1] * i				)
     assert 0 <= k < factorials[-1] * n, "k out of bounds"

     A_          =       []
     A_          =       list(range(_UpperCAmelCase				)				)

     # Find permutation
     while factorials:
          A_          =       factorials.pop()
          A_   ,    A_          =       divmod(_UpperCAmelCase  ,						_UpperCAmelCase				)
          permutation.append(elements[number]				)
          elements.remove(elements[number]				)
     permutation.append(elements[0]				)

     return permutation


if __name__ == "__main__":
      import doctest

      doctest.testmod()



