sierra.plugins.proc.statistics.plugin#

Classes for generating statistics within and across experiments in a batch.

Functions#

proc_batch_exp(→ None)

Process Raw Output Data files for each Experiment.

Module Contents#

sierra.plugins.proc.statistics.plugin.proc_batch_exp(main_config: sierra.core.types.YAMLDict, cmdopts: sierra.core.types.Cmdopts, pathset: sierra.core.batchroot.PathSet, criteria: sierra.core.variables.batch_criteria.XVarBatchCriteria, gatherer_type=DataGatherer) → None[source]#

Process Raw Output Data files for each Experiment.

Ideally this is done in parallel across experiments, but this can be changed to serial if memory on the SIERRA host machine is limited via --processing-parallelism.

It IS faster to do all the gathering at once and THEN do all the processing, but that doesn't work for extremely large amounts of data generated per Experimental Run.