Optimize gRASPA batch setup with CIF caching and parallel processing#9
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Cache cell size computation per CIF so it is read once instead of once per (T, P) combination. Process CIFs in parallel using ThreadPoolExecutor. Add --workers CLI flag and max_workers YAML config option.
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Summary
ThreadPoolExecutor--workersCLI flag andmax_workersYAML config option to control parallelismFiles changed
src/matkit/graspa/graspa.py— addcell_sizeparam tosetup_simulation, new_setup_single_cifhelper, refactorsetup_batchwith caching + threadingsrc/matkit/cli.py— add--workersoption tobatch-setupcommandscripts/graspa/isotherm_config.yaml— addmax_workersconfigscripts/graspa/setup_isotherms.py— passmax_workersthrough tosetup_batchTest plan
matkit graspa batch-setupwith a CIF directory and verify output matches previous behavior--workersflag controls thread count