code: def _normalize_window_strides(window_strides):
      """Ensure window_strides has length 4."""
      # Some TF ops require len(window_strides) == 4 while others do not. We simply
      # ensure it always has len(4).
      if len(window_strides) == 1:
          # This is the Conv1D case. We add a dummy dimension to allow using 2D ops,
          # and use stride=1 on the dummy dimension.
          window_strides = list(window_strides) + [1]
      if len(window_strides) == 2:
          window_strides = [1] + list(window_strides) + [1]
      return window_strides
  
imports: from __future__ import annotations
  import builtins
  from collections.abc import Sequence
  import dataclasses
  from functools import partial, wraps
  import math
  import string
  from typing import Any, Callable, Optional
  from jax._src import core
  from jax import lax
  from jax._src.lax import slicing
  from jax._src import dtypes
  from jax._src import util
  from jax.experimental.jax2tf import jax2tf
  import numpy
  import tensorflow
label_desc: Use image node_id 12 for calling a global function with example usage: _normalize_window_strides(window_strides) and returns: window_strides