Property point_normals does not return active normals

[user27182]

Describe the bug, what's wrong, and what you expected.

If I set custom point normals, e.g. to [0, 0, 1] for all points, I would expect the point_normals property to return these custom normals. Instead, it computes new normals:

from pyvista import examples
mesh = examples.load_airplane()
mesh['scalars'] = range(mesh.n_points)

normals = [[0, 0, 1]] * mesh.n_points
mesh.point_data['CustomNormals'] = normals
mesh.point_data.active_normals_name = 'CustomNormals'

# Expected normal:  [0, 0, 1]
mesh.point_normals[0]  # actual normal: [ 0.00288475 -0.51048446  0.8598821 ]

# Normals are correctly set in the attributes:
mesh.point_data
# pyvista DataSetAttributes
# Association     : POINT
# Active Scalars  : scalars
# Active Vectors  : None
# Active Texture  : None
# Active Normals  : CustomNormals
# Contains arrays :
#     scalars                 int64      (1335,)              SCALARS
#     CustomNormals           int64      (1335, 3)            NORMALS

The issue is that point_normals doesn't get the active normals, it just gets an array named 'Normals'. I believe it should return the active normals instead, regardless of name.

See #6058 (reply in thread) for context.

Steps to reproduce the bug.

See above

System Information

OS : Darwin
            CPU(s) : 8
           Machine : arm64
      Architecture : 64bit
               RAM : 16.0 GiB
       Environment : IPython
       File system : apfs
        GPU Vendor : Apple
      GPU Renderer : Apple M2
       GPU Version : 4.1 Metal - 88
  MathText Support : True
  Python 3.12.2 (v3.12.2:6abddd9f6a, Feb  6 2024, 17:02:06) [Clang 13.0.0
  (clang-1300.0.29.30)]
           pyvista : 0.44.dev0
               vtk : 9.3.0
             numpy : 1.26.4
        matplotlib : 3.8.2
            scooby : 0.9.2
             pooch : 1.8.0
            pillow : 10.2.0
           imageio : 2.34.0
           IPython : 8.21.0
          colorcet : 3.1.0
           cmocean : 3.1.3
        ipywidgets : 8.1.2
             scipy : 1.12.0
              tqdm : 4.66.2
            meshio : 5.3.5
        jupyterlab : 4.1.4
    pytest_pyvista : 0.1.8
             trame : 3.5.3
      trame_client : 2.16.1
      trame_server : 2.17.2
         trame_vtk : 2.8.5
     trame_vuetify : 2.4.3
      nest_asyncio : 1.6.0
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Screenshots

No response

[user27182]

I think this is a duplicate of #2921