class_docstr: Test preprocess produces output that can be executed by the device.
class_docstr_tok: ["Test","preprocess","produces","output","that","can","be","executed","by","the","device","."]
docstr: Test that preprocess returns the correct tapes when expansion is needed.
docstr_tok: ["Test","that","preprocess","returns","the","correct","tapes","when","expansion","is","needed","."]
code: def test_preprocess_expand(self):
      """Test that preprocess returns the correct tapes when expansion is needed."""
      ops = [qml.Hadamard(0), NoMatOp(1), qml.RZ(0.123, wires=1)]
      measurements = [
          [qml.expval(qml.PauliZ(0))],
          [qml.expval(qml.PauliX(1))],
      ]
      tapes = [
          qml.tape.QuantumScript(ops=ops, measurements=measurements[0]),
          qml.tape.QuantumScript(ops=ops, measurements=measurements[1]),
      ]
  
      program, _ = qml.device("default.qubit").preprocess()
      res_tapes, batch_fn = program(tapes)
  
      expected = [
          qml.Hadamard(0),
          qml.PauliX(1),
          qml.PauliY(1),
          qml.RZ(0.123, wires=1),
      ]
  
      assert len(res_tapes) == 2
      for i, t in enumerate(res_tapes):
          for op, exp in zip(t.circuit, expected + measurements[i]):
              assert qml.equal(op, exp)
  
      val = (("a", "b"), "c", "d")
      assert batch_fn(val) == (("a", "b"), "c")
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.devices import DefaultQubit, ExecutionConfig
  from pennylane.devices.default_qubit import stopping_condition
label_desc: Use image node_id 6 for calling the TestPreprocessingIntegration obj's underlying member method code with example usage: obj.test_preprocess_expand() without return types