class_docstr: The internal interface for functions that process over grouped windows.
class_docstr_tok: ["The","internal","interface","for","functions","that","process","over","grouped","windows","."]
docstr: Assigns the input element into the state namespace which the input element should be
  accumulated/retracted into.
  
  :param input_row: The input element
  :param timestamp: The timestamp of the element or the processing time (depends on the type
      of assigner)
  :return: The state namespace.
docstr_tok: ["Assigns","the","input","element","into","the","state","namespace","which","the","input","element","should","be","accumulated\/retracted","into",".",":","param","input_row",":","The","input","element",":","param","timestamp",":","The","timestamp","of","the","element","or","the","processing","time","(","depends","on","the","type","of","assigner",")",":","return",":","The","state","namespace","."]
code: def assign_state_namespace(
      self, input_row: List, timestamp: int
  ) -> List[W]:
      """
      Assigns the input element into the state namespace which the input element should be
      accumulated/retracted into.
  
      :param input_row: The input element
      :param timestamp: The timestamp of the element or the processing time (depends on the type
          of assigner)
      :return: The state namespace.
      """
      pass
  
imports: from abc import abstractmethod, ABC
  from typing import Generic, List, Iterable, Dict, Set
  from pyflink.common import Row
  from pyflink.common.constants import MAX_LONG_VALUE
  from pyflink.datastream.state import MapState
  from pyflink.fn_execution.table.window_assigner import WindowAssigner, PanedWindowAssigner, MergingWindowAssigner
  from pyflink.fn_execution.table.window_context import Context, K, W
label_desc: Use image node_id 7 for calling the InternalWindowProcessFunction obj's underlying member method code with example usage: obj.assign_state_namespace(input_row, timestamp) without return types