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 splitting and expanding
  is needed.
docstr_tok: ["Test","that","preprocess","returns","the","correct","tapes","when","splitting","and","expanding","is","needed","."]
code: def test_preprocess_split_and_expand_not_adjoint(self):
      """Test that preprocess returns the correct tapes when splitting and expanding
      is needed."""
      ops = [
          qml.Hadamard(0),
          NoMatOp(1),
          qml.RX([np.pi, np.pi / 2], wires=1),
      ]
      # Need to specify grouping type to transform tape
      measurements = [
          qml.expval(qml.PauliX(0)),
          qml.expval(qml.PauliZ(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_ops = [
          qml.Hadamard(0),
          qml.PauliX(1),
          qml.PauliY(1),
          qml.RX([np.pi, np.pi / 2], wires=1),
      ]
  
      assert len(res_tapes) == 2
      for i, t in enumerate(res_tapes):
          for op, expected_op in zip(t.operations, expected_ops):
              assert qml.equal(op, expected_op)
          assert len(t.measurements) == 1
          if i == 0:
              assert qml.equal(t.measurements[0], measurements[0])
          else:
              assert qml.equal(t.measurements[0], measurements[1])
  
      val = ([[1, 2], [3, 4]], [[5, 6], [7, 8]])
      assert np.array_equal(
          batch_fn(val), np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
      )
  
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 7 for calling the TestPreprocessingIntegration obj's underlying member method code with example usage: obj.test_preprocess_split_and_expand_not_adjoint() without return types