code: def _select_and_scatter_lower(
      ctx,
      operand,
      source,
      init_value,
      *,
      select_jaxpr,
      select_consts,
      scatter_jaxpr,
      scatter_consts,
      window_dimensions,
      window_strides,
      padding,
  ):
      operand_aval, source_aval, init_value_aval = ctx.avals_in
      (aval_out,) = ctx.avals_out
      scalar_aval = operand_aval.update(shape=())
      scalar_type = mlir.aval_to_ir_type(scalar_aval)
      op = hlo.SelectAndScatterOp(
          mlir.aval_to_ir_type(aval_out),
          operand,
          source,
          init_value,
          window_dimensions=mlir.dense_int_elements(window_dimensions),
          window_strides=mlir.dense_int_elements(window_strides),
          padding=ir.DenseIntElementsAttr.get(
              np.asarray(padding, np.int64), shape=(len(padding), 2)
          ),
      )
      select = op.select.blocks.append(scalar_type, scalar_type)
      with ir.InsertionPoint(select):
          if select_jaxpr.effects:
              raise NotImplementedError(
                  "Cannot lower effectful `select`."
              )
          out_nodes, _ = mlir.jaxpr_subcomp(
              ctx.module_context,
              select_jaxpr,
              mlir.TokenSet(),
              select_consts,
              *([a] for a in select.arguments),
              dim_var_values=ctx.dim_var_values,
          )
          hlo.return_(util.flatten(out_nodes))
      scatter = op.scatter.blocks.append(scalar_type, scalar_type)
      with ir.InsertionPoint(scatter):
          if scatter_jaxpr.effects:
              raise NotImplementedError(
                  "Cannot lower effectful `scatter`."
              )
          out_nodes, _ = mlir.jaxpr_subcomp(
              ctx.module_context,
              scatter_jaxpr,
              mlir.TokenSet(),
              scatter_consts,
              *([a] for a in scatter.arguments),
              dim_var_values=ctx.dim_var_values,
          )
          hlo.return_(util.flatten(out_nodes))
      return op.results
  
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 22 for calling a global function with example usage: _select_and_scatter_lower(ctx, operand, source, init_value) and returns: op