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 batch_transform does nothing when no batching is required.
docstr_tok: ["Test","that","batch_transform","does","nothing","when","no","batching","is","required","."]
code: def test_batch_transform_no_batching(self):
      """Test that batch_transform does nothing when no batching is required."""
      ops = [qml.Hadamard(0), qml.CNOT([0, 1]), qml.RX(0.123, wires=1)]
      measurements = [qml.expval(qml.PauliZ(1))]
      tape = qml.tape.QuantumScript(ops=ops, measurements=measurements)
  
      device = qml.device("default.qubit")
  
      program, _ = device.preprocess()
      tapes, _ = program([tape])
  
      assert len(tapes) == 1
      for op, expected in zip(tapes[0].circuit, ops + measurements):
          assert qml.equal(op, expected)
  
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 1 for calling the TestPreprocessingIntegration obj's underlying member method code with example usage: obj.test_batch_transform_no_batching() without return types