feat: improving performance of save_selection

[germa89]

Description

As the title. By using components instead of retrieving all entity ids, we speed up the process.

Previous implementation used XSEL functions to set the retrieved ids of the entities. While this was OK, it incurs in performance penalization because it has to write a file (sometimes quite big), transfer it and run it using non_interactive. Because of the amount of XSEL,A,... lines, this might posed a problem with the infamous gRPC instability (#3313).

I think the thorough testing should be sufficient to ensure we do not hit issues like #3372 or #2452
However can @mikerife have a look at the test_save_selection_2 code and see if I am missing something?

Benchmark

Testing code is test_save_selection_2.

# For 1 million elements
tmp_old.py -> Time spent: 1.423482750004041
tmp_old.py -> Time spent: 1.287161833999562
tmp_new.py -> Time spent: 0.10543733399754274
tmp_new.py -> Time spent: 0.11288025000612834

Issue linked

Close #3695

Checklist

• I have visited and read Develop PyMAPDL.
• I have tested my changes locally
• I have added necessary documentation or updated existing documentation.
• I have followed the PyMAPDL coding style guidelines.
• I have added appropriate unit tests that also ensure the minimal coverage criteria.
• I have reviewed my changes before submitting this pull request.
• I have linked the issue or issues that are solved to the PR if any.
• I have assigned this PR to myself.
• I have marked this PR as draft if it is not ready to be reviewed yet.
• I have made sure that the title of my PR follows Commit naming conventions (e.g. feat: adding new MAPDL command)

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 87.09%. Comparing base (e6221a6) to head (6f13a54).
Report is 6 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3697      +/-   ##
==========================================
- Coverage   87.14%   87.09%   -0.06%     
==========================================
  Files         187      187              
  Lines       14697    14709      +12     
==========================================
+ Hits        12808    12811       +3     
- Misses       1889     1898       +9     

[germa89]

@pyansys-ci-bot LGTM.

[pyansys-ci-bot]

✅ Approving this PR because germa89 said so in here 😬