Test pipeline NetPyNE-> NeuroML-> other simulators...

NeuroML2 配下にある、名前が jnmleden.omt で終わる既存の OMV テストファイル、生成された LEMS_HybridSmall.xml、および regenerateAndTest.sh から始めます。文書化された jnml または pynml の EDEN コマンドを実行し、リンクされた workflow の結果を調べます。この issue では、EDEN で生成された NeuroML モデルを検証することを超える完了条件は定義されていません。

@salvadord was asking about options for examples of models built in NetPyNE, converted to NeuroML and then run successfully in another simulator. For various reasons EDEN is currently the best option for trying this.

I've added various OMV tests for running the generated NeuroML equivalents of NetPyNE models in EDEN, and the results are good so far. See test files ending jnmleden.omt here, the results of these are at https://github.com/OpenSourceBrain/NetPyNEShowcase/runs/6374237602?check_suite_focus=true.

As an example this: https://github.com/OpenSourceBrain/NetPyNEShowcase/blob/master/NetPyNE/HybridSmall/HybridSmall.py builds a small net with HH & Izhikevich cells, it gets generated to NML here: https://github.com/OpenSourceBrain/NetPyNEShowcase/blob/master/NeuroML2/HybridSmall.net.nml (see here for generating script).
The LEMS simulation file generated also (https://github.com/OpenSourceBrain/NetPyNEShowcase/blob/master/NeuroML2/LEMS_HybridSmall.xml) can be used to generate a Python script which loads the NML using the latest jnml or pynml:

jnml LEMS_HybridSmall.xml  -eden
# or ...
pynml LEMS_HybridSmall.xml  -eden

# then ...
python LEMS_HybridSmall_eden.py

This is what gets tested in OMV files like: https://github.com/OpenSourceBrain/NetPyNEShowcase/blob/master/NeuroML2/.test.hyizh.jnmleden.omt

cc @spanag