code: def _reduce_window_logaddexp(
      operand: Array,
      window_dimensions: core.Shape,
      window_strides: Sequence[int],
      padding: Sequence[tuple[int, int]],
      base_dilation: Sequence[int] | None = None,
      window_dilation: Sequence[int] | None = None,
  ) -> Array:
      init_value = lax._const(operand, -np.inf)
      jaxpr, consts = lax._reduction_jaxpr(
          logaddexp, lax._abstractify(init_value)
      )
      if base_dilation is None:
          base_dilation = (1,) * len(window_dimensions)
      if window_dilation is None:
          window_dilation = (1,) * len(window_dimensions)
      (out,) = reduce_window_p.bind(
          operand,
          init_value,
          jaxpr=jaxpr,
          consts=consts,
          window_dimensions=tuple(window_dimensions),
          window_strides=tuple(window_strides),
          padding=tuple(padding),
          base_dilation=tuple(base_dilation),
          window_dilation=tuple(window_dilation),
      )
      return out
  
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 7 for calling a global function with example usage: _reduce_window_logaddexp(operand, window_dimensions, window_strides, padding, base_dilation, window_dilation) and returns: out