code: def accumulate(self, input_data: Row):
      for i in range(len(self._udfs)):
          if i in self._distinct_data_views:
              if (
                  len(
                      self._distinct_view_descriptors[
                          i
                      ].get_filter_args()
                  )
                  == 0
              ):
                  filtered = False
              else:
                  filtered = True
                  for filter_arg in self._distinct_view_descriptors[
                      i
                  ].get_filter_args():
                      if input_data[filter_arg]:
                          filtered = False
                          break
              if not filtered:
                  input_extractor = self._distinct_view_descriptors[
                      i
                  ].get_input_extractor()
                  args = input_extractor(input_data)
                  if args in self._distinct_data_views[i]:
                      self._distinct_data_views[i][args] += 1
                  else:
                      self._distinct_data_views[i][args] = 1
          if (
              self._filter_args[i] >= 0
              and not input_data[self._filter_args[i]]
          ):
              continue
          input_extractor = self._input_extractors[i]
          args = input_extractor(input_data)
          if self._distinct_indexes[i] >= 0:
              if (
                  args
                  in self._distinct_data_views[
                      self._distinct_indexes[i]
                  ]
              ):
                  if (
                      self._distinct_data_views[
                          self._distinct_indexes[i]
                      ][args]
                      > 1
                  ):
                      continue
              else:
                  raise Exception(
                      "The args are not in the distinct data view, this should not happen."
                  )
          self._udfs[i].accumulate(self._accumulators[i], *args)
  
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 3 for calling the SimpleNamespaceAggsHandleFunction obj's underlying member method code with example usage: obj.accumulate(input_data) without return types