code: def _repeat_lowering_rule(
      ctx: mlir.LoweringRuleContext, x, *, repeats, axis
  ):
      def _repeat(x):
          return jnp.repeat(x, repeats, axis)
  
      return mlir.lower_fun(_repeat, multiple_results=False)(ctx, x)
  
imports: from __future__ import annotations
  import contextlib
  import dataclasses
  import enum
  from typing import Any, Callable
  import jax
  from jax._src import api_util
  from jax._src import core
  from jax._src import effects
  from jax._src import linear_util
  from jax._src import pretty_printer
  from jax._src import state
  from jax._src import tree_util
  from jax._src import util
  from jax._src.state import indexing
  from jax._src.state import primitives
  from jax._src.interpreters import mlir
  from jax._src.interpreters import partial_eval
  from jax._src.pallas.mosaic import core
  import jax.numpy
label_desc: Use image node_id 3 for calling a global function with example usage: _repeat_lowering_rule(ctx, x) and returns: mlir, jnp