Use parallel I/O in Github Actions CI tests #277
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Now that NCDatasets is an optional dependency (coupled using an 'extension'), we do not need to use an old version of the HDF5 library provided by Julia, `HDF5_jll` (cf issue #148). Using the latest version will allow us to activate parallel I/O in the Github Actions CI jobs.
Is good to have a couple of tests that us `parallel_io=false` (the restart interpolation already did), so that even when parallel I/O is available, the branch that does not use it gets tested.
NCDatasets was already included for the serial tests. Now that we use the Julia-provided MPI for the parallel tests, it is also possible to install NCDatasets for the parallel tests.
It is good to still test this option even when parallel I/O is available.
If NCDatasets is installed (so the NetCDF I/O extension is activated), then use NetCDF for a few of the debug checks, to test that it is working properly.
By mistake, one command (creating the `mpiexecjl` executable) was run with `--check-bounds=no`. This might trigger re-precompilation of packages, so is inefficient at best.
At the moment installing NCDatasets (and therefore activating the NetCDF I/O extension) causes precompilation to hang in the debug checks CI job. Not sure why this is, but skip NCDatasets for now to avoid it.
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Now that NCDatasets is an optional dependency (coupled using an 'extension'), we do not need to use an old version of the HDF5 library provided by Julia,
HDF5_jll(cf #148). Using the latest version allows us to activate parallel I/O in the Github Actions CI jobs.As we use the Julia-provided MPI for the CI jobs, we can use NCDatasets at the same time (although this is not possible 'normally', see #254).
Explicitly sets
parallel_io=falsein one randomly-chosen test (the Harrison-Thompson one), to make sure that this code gets tested even when parallel I/O is available. Also setsparallel_io=falsein a few debug checks, and uses NetCDF (if avaliable) in a few other debug checks, to improve the code coverage.