code: def reduce_window(
      operand,
      init_value,
      computation,
      window_dimensions,
      window_strides,
      padding,
      base_dilation,
  ):
      op, dims, strides = operand, window_dimensions, window_strides
      if isinstance(padding, str):
          pads = padtype_to_pads(op.shape, dims, strides, padding)
      else:
          pads = padding
      op = op.reshape((1, 1) + op.shape)
      if base_dilation:
          op = _dilate(op, base_dilation, init_value)
      view = _conv_view(
          op, (1, 1) + dims, strides, pads, pad_value=init_value
      )[0]
      view = view.reshape(view.shape[1 : 1 + len(dims)] + (-1,))
      reducer = _make_reducer(computation, init_value)
      return reducer(view, axis=-1)
  
imports: import builtins
  import collections
  import itertools
  import numpy
  import opt_einsum
  import scipy.special
  from jax._src import dtypes
  from jax._src import util
label_desc: Use image node_id 34 for calling a global function with example usage: reduce_window(operand, init_value, computation, window_dimensions, window_strides, padding, base_dilation) and returns: reducer