123 def processSummaryCSV(filename, defaultStage, eventNames, sizes, times, errors, events):  argument
148 def processSummary(moduleName, defaultStage, eventNames, sizes, times, errors, events):  argument
151     m = processSummaryCSV(moduleName+'.csv', defaultStage, eventNames, sizes, times, errors, events)
171         errors.append(event["error"][0])
343 def plotMeshConvergence(library, num, eventNames, sizes, times, errors, events):  argument
349   print(errors)
352 …data.extend([rsizes, errors[run], rsizes, (errors[run][0]*rsizes[0]*2)*rsizes**(meshExp[run]/-2.0)…
362 def plotWorkPrecision(library, num, eventNames, sizes, times, errors, events):  argument
369     data.extend([rtimes, errors[run], rtimes, (errors[run][0]*rtimes[0]*2)*rtimes**(timeExp[run])])
379 def plotWorkPrecisionPareto(library, num, eventNames, sizes, times, errors, events):  argument
386     data.extend([rtimes, errors[run]])
453 …processSummary(getLogName(newopts), args.stage, args.events, sizes[name], times[name], errors[name…
463 …processSummary(getLogName(newopts), stage, args.events, sizes[name], times[name], errors[name], ev…
522   errors  = {}  variable
542     errors[name]  = []
549 …  getattr(__main__, 'plot'+plot)(args.library, args.num, args.events, sizes, times, errors, events)