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Is your feature request related to a problem? Please describe.
To make parallelization of pyaeroval-runs possible, the output of the different runs should not conflict with each other. AerovalDb has now locking implemented and pyaeroval should therefore use this locking feature in a fine-grained manner, e.g. log for as short as possible (but not so often that writes are much delayed).
Describe the solution you would like to see
pyaeroval can be run for different models/variables in parallel, but to the same data directory
the different model-runs don't interfere with each others.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
To make parallelization of pyaeroval-runs possible, the output of the different runs should not conflict with each other. AerovalDb has now locking implemented and pyaeroval should therefore use this locking feature in a fine-grained manner, e.g. log for as short as possible (but not so often that writes are much delayed).
Describe the solution you would like to see
The text was updated successfully, but these errors were encountered: