code: def result(self):
      if not self.built:
          raise ValueError(
              "Cannot get result() since the metric has not yet been built."
          )
      results = {}
      unique_name_counters = {}
      for mls in self._flat_metrics:
          if not mls:
              continue
          for m in mls.metrics:
              name = m.name
              if mls.output_name:
                  name = f"{mls.output_name}_{name}"
              if name not in unique_name_counters:
                  results[name] = m.result()
                  unique_name_counters[name] = 1
              else:
                  index = unique_name_counters[name]
                  unique_name_counters[name] += 1
                  name = f"{name}_{index}"
                  results[name] = m.result()
  
      for mls in self._flat_weighted_metrics:
          if not mls:
              continue
          for m in mls.metrics:
              name = m.name
              if mls.output_name:
                  name = f"{mls.output_name}_{name}"
              if name not in unique_name_counters:
                  results[name] = m.result()
                  unique_name_counters[name] = 1
              else:
                  name = f"weighted_{m.name}"
                  if mls.output_name:
                      name = f"{mls.output_name}_{name}"
                  if name not in unique_name_counters:
                      unique_name_counters[name] = 1
                  else:
                      index = unique_name_counters[name]
                      unique_name_counters[name] += 1
                      name = f"{name}_{index}"
                  results[name] = m.result()
      return results
  
imports: import tree
  from keras import backend
  from keras import losses
  from keras import metrics
  from keras import ops
  from keras.utils.naming import get_object_name
label_desc: Use image node_id 9 for calling the CompileMetrics obj's underlying member method code with example usage: obj.result() and returns: results