code: def test_continous_gradient():
      x = jnp.asarray([1.0])
      z = operators.gradient(a)
      _ = z
      _ = (a(x), z(x))
  
      @jit
      def f(a, op_params):
          return operators.gradient(a, params=op_params)
  
      op_params = operators.gradient.default_params(a)
      _ = f(a, op_params).params
  
file_path: jaxdf/tests/test_differential.py
imports: import jax
  from jax import jit, make_jaxpr
  from jax import numpy
  from jaxdf import *
label_desc: Use image node_id 4 for calling a global function with example usage: test_continous_gradient() and returns: operators