class_docstr: Test that the wrapped NumPy functionality integrates well
  with standard NumPy functions.
class_docstr_tok: ["Test","that","the","wrapped","NumPy","functionality","integrates","well","with","standard","NumPy","functions","."]
docstr: Test that NumPy classes are not wrapped
docstr_tok: ["Test","that","NumPy","classes","are","not","wrapped"]
code: def test_classes_not_wrapped(self):
      """Test that NumPy classes are not wrapped"""
      x = np.ndarray([0, 1, 2])
      assert not isinstance(x, np.tensor)
      assert not hasattr(x, "requires_grad")
  
imports: import numpy
  import pytest
  from autograd.numpy.numpy_boxes import ArrayBox
  import pennylane
  from pennylane import numpy
  from pennylane.numpy.tensor import tensor_to_arraybox
label_desc: Use image node_id 9 for calling the TestNumpyIntegration obj's underlying member method code with example usage: obj.test_classes_not_wrapped() without return types