code: def process_metrics(self, i, metrics):
      if "bound_1" in metrics:
          vw_b = metrics["bound_1"]
          vw_b_2 = metrics["bound_2"]
          w = metrics["w_1"]
          r = metrics["r_1"]
          w2 = metrics["w_2"]
          r2 = metrics["r_2"]
          assert r == r2
          self.ocrl.update(1, w, r)
          self.count_1.update(((w, r),))
          self.ocrl.recomputeduals()
          self.ocrl2.update(1, w2, r2)
          self.count_2.update(((w2, r2),))
          self.ocrl2.recomputeduals()
  
          assert vw_b >= 0
          assert vw_b_2 >= 0
  
imports: import vowpalwabbit
  from distributionally_robust_data import OnlineCressieRead
  import collections
  import os
  import random
  import os
label_desc: Use image node_id 8 for calling the Simulator obj's underlying member method code with example usage: obj.process_metrics(i, metrics) without return types