code: def _padding_reduce_window(
      operand,
      operand_shape,
      computation_name,
      window_dimensions,
      window_strides,
      padding,
  ):
      padding_type = pads_to_padtype(
          operand_shape, window_dimensions, window_strides, padding
      )
  
      # https://github.com/google/jax/issues/11874.
      needs_manual_padding = (
          padding_type == "SAME"
          and computation_name == "add"
          and window_dimensions != [1] * len(operand_shape)
      )
  
      if needs_manual_padding or padding_type == "EXPLICIT":
          operand, operand_shape = _pad_spatial_dims(
              operand, operand_shape, padding
          )
          padding_type = "VALID"
  
      return operand, operand_shape, padding_type
  
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 20 for calling a global function with example usage: _padding_reduce_window(operand, operand_shape, computation_name, window_dimensions, window_strides, padding) and returns: operand,  operand_shape,  padding_type