code: def print_computed_metrics(self, metrics):
      for split, acc in enumerate(metrics["acc_splits"]):
          print(
              "Top 1 accuracy on split {}: {}; r1 {}; r5 {}; r10 {}".format(
                  split + 1,
                  acc,
                  metrics["r1_splits"][split],
                  metrics["r5_splits"][split],
                  metrics["r10_splits"][split],
              )
          )
  
imports: import numpy
  import json
label_desc: Use image node_id 3 for calling the ActionRecognitionMetric obj's underlying member method code with example usage: obj.print_computed_metrics(metrics) without return types