How to use the pyansys._binary_reader.tensor_arbitrary function in pyansys

def test_tensor_rotation_z():
    transform = vtk.vtkTransform()
    transform.RotateZ(20)
    transform.Update()
    rot_matrix = transform.GetMatrix()
    # rot_matrix.Invert()  # <-- this should not be necessary
    trans = pv.trans_from_matrix(rot_matrix)

    s_test = stress.copy().reshape(1, -1)
    _binary_reader.tensor_arbitrary(s_test, trans)
    assert np.allclose(s_test, stress_rot_z)

def test_tensor_rotation_y():
    transform = vtk.vtkTransform()
    transform.RotateY(20)
    transform.Update()
    rot_matrix = transform.GetMatrix()
    # rot_matrix.Invert()  # <-- this should not be necessary
    trans = pv.trans_from_matrix(rot_matrix)

    s_test = stress.copy().reshape(1, -1)
    _binary_reader.tensor_arbitrary(s_test, trans)
    assert np.allclose(s_test, stress_rot_y)

for i in range(self.n_sector):
            # transform to standard position, rotate about Z axis,
            # transform back
            transform = vtk.vtkTransform()
            transform.RotateZ(rang*i)
            transform.Update()
            rot_matrix = transform.GetMatrix()

            if cs_cord > 1:
                temp_matrix = vtk.vtkMatrix4x4()
                rot_matrix.Multiply4x4(i_matrix, rot_matrix, temp_matrix)
                rot_matrix.Multiply4x4(temp_matrix, matrix, rot_matrix)

            trans = pv.trans_from_matrix(rot_matrix)
            if tensor:
                _binary_reader.tensor_arbitrary(full_result[i], trans)
            else:
                _binary_reader.affline_transform(full_result[i], trans)

        return full_result

rang = 360.0 / self.n_sector
        for i in range(self.n_sector):
            # transform to standard position, rotate about Z axis,
            # transform back
            transform = vtk.vtkTransform()
            transform.RotateZ(rang*i)
            transform.Update()
            rot_matrix = transform.GetMatrix()

            if cs_cord > 1:
                temp_matrix = vtk.vtkMatrix4x4()
                rot_matrix.Multiply4x4(i_matrix, rot_matrix, temp_matrix)
                rot_matrix.Multiply4x4(temp_matrix, matrix, rot_matrix)

            trans = pv.trans_from_matrix(rot_matrix)
            _binary_reader.tensor_arbitrary(full_result[i], trans)

        return full_result