code: def of(runtime_context, job_parameters):
      return StreamingRuntimeContext(runtime_context, job_parameters)
  
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 17 for calling the StreamingRuntimeContext obj's underlying member method code with example usage: obj.of(runtime_context, job_parameters) and returns: StreamingRuntimeContext