





import gc
import threading
import time

import psutil
import torch







class     __snake_case       :





       '''simple docstring'''







       def __init__(  self :    str		):
         __snake_case:						List[Any]   =						psutil.Process()
         __snake_case:						Any   =						False




       def 							UpperCAmelCase__ (  self :    int		):
         __snake_case:						Optional[Any]   =						-1

         while True:
           __snake_case:						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 							UpperCAmelCase__ (  self :    Dict		):
         __snake_case:						Union[str, Any]   =						True
         __snake_case:						Optional[int]   =						threading.Thread(target=self.peak_monitor		)
         __snake_case:						Union[str, Any]   =						True
         self.thread.start()






       def 							UpperCAmelCase__ (  self :    int		):
         __snake_case:						Optional[int]   =						False
         self.thread.join()
         return self.cpu_memory_peak






__UpperCAmelCase       :   Tuple				       =							PeakCPUMemory()







def 			A__							(    )   ->    Optional[int]:
  # Time
  __snake_case:						Optional[int]   =						{"""time""": time.time()}

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

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

  # GPU mem
  for i in range(torch.cuda.device_count()):
    __snake_case:						Dict   =						torch.cuda.memory_allocated(SCREAMING_SNAKE_CASE__)
  torch.cuda.reset_peak_memory_stats()

  return measures







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Any:
  # Time
  __snake_case:						Union[str, Any]   =						{"""time""": time.time() - start_measures["""time"""]}

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

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

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

  return measures







def 			A__							(    SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)   ->    Dict:
  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''')
    __snake_case:						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''')













from __future__ import annotations

import typing
from collections import Counter







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    typing.Counter[int]:
  __snake_case:						typing.Counter[int]   =						Counter()
  for base in range(1					,					max_perimeter + 1):
    for perpendicular in range(SCREAMING_SNAKE_CASE__					,					max_perimeter + 1):
      __snake_case:						Dict   =						(base * base + perpendicular * perpendicular) ** 0.5
      if hypotenuse == int(SCREAMING_SNAKE_CASE__):
        __snake_case:						Any   =						int(base + perpendicular + hypotenuse)
        if perimeter > max_perimeter:
          continue
        triplets[perimeter] += 1
  return triplets







def 			A__							(    SCREAMING_SNAKE_CASE__ = 1000)   ->    int:
  __snake_case:						List[str]   =						pythagorean_triple(SCREAMING_SNAKE_CASE__)
  return triplets.most_common(1)[0][0]


if __name__ == "__main__":
      print(f'Perimeter {solution()} has maximum solutions')






