code: def update_rates(self, policy, proximity):
      for k, bins in policy:
          for p, rate in zip(bins, self.rates[k]):
              p = int(p * len(rate) * 0.999)
              rate[p] = rate[p] * self.decay + proximity * (
                  1 - self.decay
              )
  
imports: import random
  from collections import namedtuple
  import numpy
  from PIL import Image, ImageOps, ImageEnhance, ImageFilter
label_desc: Use image node_id 4 for calling the CTAugment obj's underlying member method code with example usage: obj.update_rates(policy, proximity) without return types