code: def policy(self, probe):
      kl = list(OPS.keys())
      v = []
      if probe:
          for _ in range(self.depth):
              k = random.choice(kl)
              bins = self.rates[k]
              rnd = np.random.uniform(0, 1, len(bins))
              v.append(OP(k, rnd.tolist()))
          return v
      for _ in range(self.depth):
          vt = []
          k = random.choice(kl)
          bins = self.rates[k]
          rnd = np.random.uniform(0, 1, len(bins))
          for r, bin in zip(rnd, bins):
              p = self.rate_to_p(bin)
              value = np.random.choice(p.shape[0], p=p / p.sum())
              vt.append((value + r) / p.shape[0])
          v.append(OP(k, vt))
      return v
  
imports: import random
  from collections import namedtuple
  import numpy
  from PIL import Image, ImageOps, ImageEnhance, ImageFilter
label_desc: Use image node_id 3 for calling the CTAugment obj's underlying member method code with example usage: obj.policy(probe) and returns: v, v