code: def jax_funcify_scalar_op_via_py_operators(op):
      """Specialized JAX dispatch for Elemwise operations where all inputs are Scalar arrays.
  
      Scalar (constant) arrays in the JAX backend get lowered to the native types (int, floats),
      which can perform better with Python operators, and more importantly, avoid upcasting to array types
      not supported by some JAX functions.
      """
      return None
  
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 4 for calling a global function with example usage: jax_funcify_scalar_op_via_py_operators(op) and returns: None