code: def __init__(
      self,
      udfs: List[ImperativeAggregateFunction],
      input_extractors: List,
      index_of_count_star: int,
      count_star_inserted: bool,
      named_property_extractor,
      udf_data_view_specs: List[List[DataViewSpec]],
      filter_args: List[int],
      distinct_indexes: List[int],
      distinct_view_descriptors: Dict[int, DistinctViewDescriptor],
  ):
      self._udfs = udfs
      self._input_extractors = input_extractors
      self._named_property_extractor = named_property_extractor
      self._accumulators = None  # type: List
      self._udf_data_view_specs = udf_data_view_specs
      self._udf_data_views = []
      self._filter_args = filter_args
      self._distinct_indexes = distinct_indexes
      self._distinct_view_descriptors = distinct_view_descriptors
      self._distinct_data_views = {}
      self._get_value_indexes = [i for i in range(len(udfs))]
      if index_of_count_star >= 0 and count_star_inserted:
          # The record count is used internally, should be ignored by the get_value method.
          self._get_value_indexes.remove(index_of_count_star)
  
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 1 to create a new SimpleNamespaceAggsHandleFunction object from inherited base classes: NamespaceAggsHandleFunction with example: obj = SimpleNamespaceAggsHandleFunction(udfs, input_extractors, index_of_count_star, count_star_inserted, named_property_extractor, udf_data_view_specs, filter_args, distinct_indexes, distinct_view_descriptors)