code: def jax_funcify_Clip(op, **kwargs):
      """Register the translation for the `Clip` `Op`.
  
      PyTensor's `Clip` operator operates differently from NumPy's when the
      specified `min` is larger than the `max` so we cannot reuse `jax.numpy.clip`
      to maintain consistency with PyTensor.
  
      """
  
      def clip(x, min, max):
          return jnp.where(x < min, min, jnp.where(x > max, max, x))
  
      return clip
  
imports: import functools
  import typing
  from typing import Callable, Optional
  import jax
  import jax.numpy
  from pytensor.link.jax.dispatch.basic import jax_funcify
  from pytensor.scalar import Softplus
  from pytensor.scalar.basic import Add, Cast, Clip, Composite, Identity, IntDiv, Mod, Mul, ScalarOp, Second, Sub
  from pytensor.scalar.math import BetaIncInv, Erf, Erfc, Erfcinv, Erfcx, Erfinv, GammaIncCInv, GammaIncInv, Iv, Ive, Log1mexp, Psi, TriGamma
label_desc: Use image node_id 12 for calling a global function with example usage: jax_funcify_Clip(op) and returns: clip, jnp