feat: adding PyMAPDL + PyDPF example

[dipinknair]

This PR adds an example showcasing the usage of PyMAPDL and PyDPF that was created by @Gbarkoulis.

[dipinknair]

@germa89 Hi Pls check the workflow here,

[germa89]

Several things:

• You were missing access to the docker image package.
• You are having issues to spawn instances using MapdlPool.
  • Incorrect port: Use the environment variable PYMAPDL_PORT to change the default port, i.e. PYMAPDL_PORT: ${{ env.PYMAPDL_PORT }} in your step.
  • You are requesting 2 MAPDL instances, but you are only launching one instance

I would recommend you to use the container context your yaml:

container:
  image: "ghcr.io/ansys/mapdl:ghcr.io/ansys/mapdl:v25.2.4-ubuntu-cicd"
  options: -u=0:0 --oom-kill-disable --memory=6656MB --memory-swap=16896MB --shm-size=1gb --entrypoint /bin/bash
  credentials:
    username: ${{ secrets.username }}
    password: ${{ secrets.token }}

Then you can run MAPDL and DPF from inside this container and spawn as many processes as your hardware supports.

[germa89]

@clatapie @dipinknair

To fix this: https://github.com/ansys/pyansys-workflows/actions/runs/17854285321/job/50769652329?pr=89#step:5:27

Use ubuntu-22.04 as runner. Do not use ubuntu-latest.

If that does not fix it, try to do the following:

apt-get update && apt-get -y install gcc mono-mcs g++

I have to update the base ubuntu version in the docker container (currently on 22.04).

[clatapie]

Thanks for your prompt feedback @germa89! I will modify it

[clatapie]

MapdlPool is now running fine. However, the DPF server is not running yet.
I am investing it.

Edit: DPF and MAPDL are now correctly working.

[clatapie]

For some reasons, I cannot add other reviewers at this PR.
Thus, I am pinging @dipinknair, @vnamdeo, @Gbarkoulis and @JimmyHe0527 for visibility.
Feel free to make a review on this example.