class_docstr: Test the jax interface execute function
  integrates well for both forward and backward execution
class_docstr_tok: ["Test","the","jax","interface","execute","function","integrates","well","for","both","forward","and","backward","execution"]
docstr: Test classical processing within the quantum tape for a single tape
docstr_tok: ["Test","classical","processing","within","the","quantum","tape","for","a","single","tape"]
code: def test_classical_processing_single_tape(self, execute_kwargs):
      """Test classical processing within the quantum tape for a single tape"""
      a = jax.numpy.array(0.1)
      b = jax.numpy.array(0.2)
      c = jax.numpy.array(0.3)
  
      def cost(a, b, c, device):
          with qml.queuing.AnnotatedQueue() as q:
              qml.RY(a * c, wires=0)
              qml.RZ(b, wires=0)
              qml.RX(c + c**2 + jax.numpy.sin(a), wires=0)
              qml.expval(qml.PauliZ(0))
  
          tape = qml.tape.QuantumScript.from_queue(q)
  
          return execute([tape], device, **execute_kwargs)[0]
  
      dev = qml.device("default.qubit.legacy", wires=2)
      res = jax.jit(
          jax.grad(cost, argnums=(0, 1, 2)), static_argnums=3
      )(a, b, c, device=dev)
      assert len(res) == 3
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.gradients import param_shift
  from pennylane import execute
label_desc: Use image node_id 5 for calling the TestJaxExecuteIntegration obj's underlying member method code with example usage: obj.test_classical_processing_single_tape(execute_kwargs) and returns: execute