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 wrapped NumPy functions retains the original
  docstring.
docstr_tok: ["Test","that","wrapped","NumPy","functions","retains","the","original","docstring","."]
code: def test_wrapped_docstring(self, capsys):
      """Test that wrapped NumPy functions retains the original
      docstring."""
      print(np.sin.__doc__)
      captured = capsys.readouterr()
      assert "Trigonometric sine, element-wise." in captured.out
  
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 4 for calling the TestNumpyIntegration obj's underlying member method code with example usage: obj.test_wrapped_docstring(capsys) without return types