code: def _rev_j(
      eqn: JaxprEqn,
      idx: int,
      invals: list[ShapedArray],
      cts_in: ShapedArray,
  ) -> jnp.ndarray:
      inval = invals[idx]
      j = _eye_like(cts_in, inval)
      j = lax.rev(j, eqn.params["dimensions"])
      return j
  
imports: import functools
  from typing import Any, Callable, Optional, Union
  import jax
  from jax import lax
  from jax.core import AbstractValue
  from jax.core import Jaxpr
  from jax.core import JaxprEqn
  from jax.core import Literal
  from jax.core import Primitive
  from jax.core import ShapedArray
  from jax.core import Var
  from jax.interpreters import ad
  import jax.numpy
  import numpy
  from .None import utils
  from .dataclasses import dataclass
  from .dataclasses import field
label_desc: Use image node_id 17 for calling a global function with example usage: _rev_j(eqn, idx, invals, cts_in) and returns: j