docstr: Gets the current accumulators (saved in a list) which contains the current
  aggregated results.
  
  :return: The current accumulators.
docstr_tok: ["Gets","the","current","accumulators","(","saved","in","a","list",")","which","contains","the","current","aggregated","results",".",":","return",":","The","current","accumulators","."]
code: def get_accumulators(self) -> List:
      """
      Gets the current accumulators (saved in a list) which contains the current
      aggregated results.
  
      :return: The current accumulators.
      """
      pass
  
imports: import datetime
  from abc import ABC, abstractmethod
  from typing import TypeVar, Generic, List, Dict
  import pytz
  from pyflink.common import Row, RowKind
  from pyflink.common.constants import MAX_LONG_VALUE
  from pyflink.fn_execution.datastream.timerservice import InternalTimer
  from pyflink.fn_execution.datastream.process.timerservice_impl import LegacyInternalTimerServiceImpl
  from pyflink.fn_execution.coders import PickleCoder
  from pyflink.fn_execution.table.aggregate_slow import DistinctViewDescriptor, RowKeySelector
  from pyflink.fn_execution.table.state_data_view import DataViewSpec, ListViewSpec, MapViewSpec, PerWindowStateDataViewStore
  from pyflink.fn_execution.table.window_assigner import WindowAssigner, PanedWindowAssigner, MergingWindowAssigner
  from pyflink.fn_execution.table.window_context import WindowContext, TriggerContext, K, W
  from pyflink.fn_execution.table.window_process_function import GeneralWindowProcessFunction, InternalWindowProcessFunction, PanedWindowProcessFunction, MergingWindowProcessFunction
  from pyflink.fn_execution.table.window_trigger import Trigger
  from pyflink.table.udf import ImperativeAggregateFunction, FunctionContext
label_desc: Use image node_id 6 for calling the NamespaceAggsHandleFunctionBase obj's underlying member method code with example usage: obj.get_accumulators() without return types