'''simple docstring'''




import gc
import threading
import time

import psutil
import torch




class    a__				:






     def __init__(			self		:		List[Any]   ):





         """simple docstring"""



         __lowerCamelCase          =  psutil.Process()
         __lowerCamelCase          =  False






     def        SCREAMING_SNAKE_CASE__       (			self		:		List[str]   ):





         """simple docstring"""



         __lowerCamelCase          =  -1

         while True:
             __lowerCamelCase          =  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        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]   ):





         """simple docstring"""



         __lowerCamelCase          =  True
         __lowerCamelCase          =  threading.Thread(target=self.peak_monitor   )
         __lowerCamelCase          =  True
         self.thread.start()






     def        SCREAMING_SNAKE_CASE__       (			self		:		Any   ):





         """simple docstring"""



         __lowerCamelCase          =  False
         self.thread.join()
         return self.cpu_memory_peak
__UpperCAmelCase												=PeakCPUMemory()






def __lowerCAmelCase			(							)     ->   Optional[Any]:
    # Time
    __lowerCamelCase          =  {"""time""": time.time()}

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

    # CPU mem
    __lowerCamelCase          =  psutil.Process().memory_info().rss
    cpu_peak_tracker.start()

    # GPU mem
    for i in range(torch.cuda.device_count()    ):
        __lowerCamelCase          =  torch.cuda.memory_allocated(__lowerCAmelCase    )
    torch.cuda.reset_peak_memory_stats()

    return measures






def __lowerCAmelCase			(							UpperCamelCase__    )     ->   Tuple:
    # Time
    __lowerCamelCase          =  {"""time""": time.time() - start_measures["""time"""]}

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

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

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

    return measures






def __lowerCAmelCase			(							UpperCamelCase__    ,  UpperCamelCase__    )     ->   str:
    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(__lowerCAmelCase    )]:.2f}MiB"""    )
        __lowerCamelCase          =  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'''




import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey




class    a__				:






     def __init__(			self		:		List[Any]  ,    a		:		Tuple  ,    a		:		int  ,    a		:		int   ):





         """simple docstring"""



         if dst_width < 0 or dst_height < 0:
             raise ValueError('''Destination width/height should be > 0'''   )

         __lowerCamelCase          =  img
         __lowerCamelCase          =  img.shape[1]
         __lowerCamelCase          =  img.shape[0]
         __lowerCamelCase          =  dst_width
         __lowerCamelCase          =  dst_height

         __lowerCamelCase          =  self.src_w / self.dst_w
         __lowerCamelCase          =  self.src_h / self.dst_h

         __lowerCamelCase          =  __lowerCamelCase          =  (
             np.ones((self.dst_h, self.dst_w, 3)  ,    np.uinta   ) * 2_55
         )






     def        SCREAMING_SNAKE_CASE__       (			self		:		str   ):





         """simple docstring"""



         for i in range(self.dst_h   ):
             for j in range(self.dst_w   ):
                 __lowerCamelCase          =  self.img[self.get_y(a   )][self.get_x(a   )]






     def        SCREAMING_SNAKE_CASE__       (			self		:		Optional[int]  ,    a		:		int   ):





         """simple docstring"""



         return int(self.ratio_x * x   )






     def        SCREAMING_SNAKE_CASE__       (			self		:		Tuple  ,    a		:		int   ):





         """simple docstring"""



         return int(self.ratio_y * y   )


if __name__ == "__main__":
  __UpperCAmelCase							,	__UpperCAmelCase												=8_0_0, 6_0_0
  __UpperCAmelCase												=imread("image_data/lena.jpg", 1)
  __UpperCAmelCase												=NearestNeighbour(im, dst_w, dst_h)
  n.process()

  imshow(
      f'Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}', n.output
  )
  waitKey(0)
  destroyAllWindows()
