code: def _reduce_window_batch_rule(
      reduce_window,
      batched_args,
      bdims,
      *,
      window_dimensions,
      window_strides,
      padding,
      base_dilation,
      window_dilation,
  ):
      (operand,) = batched_args
      (bdim,) = bdims
  
      if bdim is not None:
          window_dimensions = (
              window_dimensions[:bdim] + (1,) + window_dimensions[bdim:]
          )
          window_strides = (
              window_strides[:bdim] + (1,) + window_strides[bdim:]
          )
          padding = padding[:bdim] + ((0, 0),) + padding[bdim:]
          base_dilation = (
              base_dilation[:bdim] + (1,) + base_dilation[bdim:]
          )
          window_dilation = (
              window_dilation[:bdim] + (1,) + window_dilation[bdim:]
          )
  
      operand = reduce_window(
          operand,
          window_dimensions,
          window_strides,
          padding,
          base_dilation,
          window_dilation,
      )
      return operand, bdim
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from functools import partial
  from typing import Callable
  import warnings
  import numpy
  from jax import tree_util
  from jax._src import ad_util
  from jax._src import core
  from jax._src import dispatch
  from jax._src import dtypes
  from jax._src import util
  from jax._src.core import ShapedArray, ConcreteArray
  from jax._src.interpreters import ad
  from jax._src.interpreters import batching
  from jax._src.interpreters import mlir
  from jax._src.lax import lax
  from jax._src.lax import convolution
  from jax._src.lax import slicing
  from jax._src.lib.mlir import ir
  from jax._src.lib.mlir.dialects import hlo
  from jax._src.numpy.ufuncs import logaddexp
  from jax._src.typing import Array
label_desc: Use image node_id 16 for calling a global function with example usage: _reduce_window_batch_rule(reduce_window, batched_args, bdims) and returns: operand,  bdim