class_docstr: A WindowAssigner that windows elements into sliding windows based on the count number of
  the elements. Windows can possibly overlap.
class_docstr_tok: ["A","WindowAssigner","that","windows","elements","into","sliding","windows","based","on","the","count","number","of","the","elements",".","Windows","can","possibly","overlap","."]
code: def assign_windows(
      self, element: List, timestamp: int
  ) -> Iterable[W]:
      count_value = self._count.value()
      if count_value is None:
          current_count = 0
      else:
          current_count = count_value
      self._count.update(current_count + 1)
      last_id = current_count // self._slide
      last_start = last_id * self._slide
      last_end = last_start + self._size - 1
      windows = []
      while last_id >= 0 and last_start <= current_count <= last_end:
          if last_start <= current_count <= last_end:
              windows.append(CountWindow(last_id))
          last_id -= 1
          last_start -= self._slide
          last_end -= self._slide
      return windows
  
imports: import math
  from abc import ABC, abstractmethod
  from typing import Generic, List, Any, Iterable, Set
  from pyflink.common.typeinfo import Types
  from pyflink.datastream.state import ValueStateDescriptor, ValueState
  from pyflink.datastream.window import TimeWindow, CountWindow
  from pyflink.fn_execution.table.window_context import Context, W
label_desc: Use image node_id 3 for calling the CountSlidingWindowAssigner obj's underlying member method code with example usage: obj.assign_windows(element, timestamp) and returns: windows