code: def test_batch_input_with_trainable_parameters_raises_error():
      """Test that using the batch_input method with trainable parameters raises a ValueError."""
      dev = qml.device("default.qubit", wires=2)
  
      @partial(qml.batch_input, argnum=0)
      @qml.qnode(dev)
      def circuit(input):
          qml.RY(input, wires=1)
          qml.CNOT(wires=[0, 1])
          qml.RX(0.1, wires=0)
          return qml.expval(qml.PauliZ(0) @ qml.PauliX(1))
  
      batch_size = 3
  
      input = np.linspace(0.1, 0.5, batch_size, requires_grad=True)
  
      with pytest.raises(
          ValueError,
          match="Batched inputs must be non-trainable."
          + " Please make sure that the parameters indexed by "
          + "'argnum' are not marked as trainable.",
      ):
          circuit(input)
  
imports: from functools import partial
  import pytest
  import pennylane
  from pennylane import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: test_batch_input_with_trainable_parameters_raises_error() and returns: qml