class_docstr: Test integration of the gradient transform decorator
class_docstr_tok: ["Test","integration","of","the","gradient","transform","decorator"]
docstr: Test that a gradient transform acts on QNodes
  correctly when the QNode arguments are permuted
docstr_tok: ["Test","that","a","gradient","transform","acts","on","QNodes","correctly","when","the","QNode","arguments","are","permuted"]
code: def test_permuted_arguments(self, tol):
      """Test that a gradient transform acts on QNodes
      correctly when the QNode arguments are permuted"""
      dev = qml.device("default.qubit", wires=2)
  
      @qml.qnode(dev)
      def circuit(weights):
          qml.RX(weights[1], wires=[0])
          qml.RY(weights[0], wires=[1])
          qml.CNOT(wires=[0, 1])
          return qml.expval(qml.PauliZ(0)), qml.var(qml.PauliX(1))
  
      def cost(w):
          return qml.math.stack(circuit(w))
  
      w = np.array([-0.654, 0.543], requires_grad=True)
      res = qml.gradients.param_shift(circuit)(w)
  
      expected = qml.jacobian(cost)(w)
      assert np.allclose(res, expected, atol=tol, rtol=0)
  
imports: import pytest
  import pennylane
  from pennylane import numpy
  from pennylane.gradients.gradient_transform import _find_gradient_methods, _validate_gradient_methods, choose_trainable_params
label_desc: Use image node_id 7 for calling the TestGradientTransformIntegration obj's underlying member method code with example usage: obj.test_permuted_arguments(tol) and returns: qml,  qml, qml