


"""simple docstring"""





import gc
import threading
import time

import psutil
import torch



class 		snake_case_:






     def __init__(	self  :					Optional[int]				):
           lowerCAmelCase					:	Tuple       =   psutil.Process()
           lowerCAmelCase					:	Tuple       =   False






     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase					:	str       =   -1

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






     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase					:	List[str]       =   False
           self.thread.join()
           return self.cpu_memory_peak



snake_case__		:     Optional[int]    				=				PeakCPUMemory()


def      _snake_case						(						):
      # Time
      lowerCAmelCase					:	Dict       =   {'''time''': time.time()}

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

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

      # GPU mem
      for i in range(torch.cuda.device_count()			):
            lowerCAmelCase					:	Optional[Any]       =   torch.cuda.memory_allocated(_snake_case			)
      torch.cuda.reset_peak_memory_stats()

      return measures


def      _snake_case						(						_snake_case				:			Optional[Any]			):
      # Time
      lowerCAmelCase					:	Any       =   {'''time''': time.time() - start_measures['''time''']}

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

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

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

      return measures






def      _snake_case						(						_snake_case				:			Optional[Any] ,   _snake_case				:			int			):
      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'''			)
            lowerCAmelCase					:	List[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"""





snake_case__		:     List[Any]    				=				'''Tobias Carryer'''

from time import time



class 		snake_case_:






     def __init__(	self  :					Optional[Any]					,				UpperCamelCase_  :					Optional[Any]					,				UpperCamelCase_  :					Tuple					,				UpperCamelCase_  :					Optional[int]					,				UpperCamelCase_  :					Dict=int(time()				)				):  # noqa: B008
           lowerCAmelCase					:	str       =   multiplier
           lowerCAmelCase					:	Optional[int]       =   increment
           lowerCAmelCase					:	Optional[Any]       =   modulo
           lowerCAmelCase					:	Optional[Any]       =   seed






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Optional[int]       =   (self.multiplier * self.seed + self.increment) % self.modulo
           return self.seed


if __name__ == "__main__":
 # Show the LCG in action.
 snake_case__		:     int    				=				LinearCongruentialGenerator(1_664_525, 1_013_904_223, 2 << 31)
 while True:
  print(lcg.next_number())


