code: def get_aggregating_state(
      self, state_descriptor: AggregatingStateDescriptor
  ) -> AggregatingState:
      return self._keyed_state_backend.get_aggregating_state(
          state_descriptor
      )
  
imports: from pyflink.datastream import RuntimeContext
  from pyflink.datastream.state import AggregatingStateDescriptor, AggregatingState, ReducingStateDescriptor, ReducingState, MapStateDescriptor, MapState, ListStateDescriptor, ListState, ValueStateDescriptor, ValueState
  from pyflink.fn_execution.embedded.state_impl import KeyedStateBackend
  from pyflink.fn_execution.metrics.embedded.metric_impl import MetricGroupImpl
  from pyflink.metrics import MetricGroup
label_desc: Use image node_id 14 for calling the StreamingRuntimeContext obj's underlying member method code with example usage: obj.get_aggregating_state(state_descriptor) and returns: self