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)
164       if not name in events:
165         events[name] = []
173         events[name].append((max(etimes), sum(eflops)/(max(etimes) * 1e6)))
175         events[name].append((max(etimes), 0))
178 def plotTime(library, num, eventNames, sizes, times, events):  argument
195 def plotEventTime(library, num, eventNames, sizes, times, events, filename = None):  argument
201   bs     = events[arches[0]].keys()[0]
206       if event in events[arch][bs]:
209         data.append(np.array(events[arch][bs][event])[:,0])
225 def plotEventFlop(library, num, eventNames, sizes, times, events, filename = None):  argument
230   bs     = events[arches[0]].keys()[0]
235       if event in events[arch][bs]:
238         data.append(1e-3*np.array(events[arch][bs][event])[:,1])
253 def plotEventScaling(library, num, eventNames, procs, events, filename = None):  argument
258   bs     = events[arches[0]].keys()[0]
263       if event in events[arch][bs]:
266         data.append(1e-3*np.array(events[arch][bs][event])[:,1])
281 def plotSummaryLine(library, num, eventNames, sizes, times, events):  argument
307         if event in events[arch]:
310           data.append(np.array(events[arch][event])[:,0])
328         if event in events[arch]:
331           data.append(np.array(events[arch][event])[:,1])
343 def plotMeshConvergence(library, num, eventNames, sizes, times, errors, events):  argument
362 def plotWorkPrecision(library, num, eventNames, sizes, times, errors, events):  argument
379 def plotWorkPrecisionPareto(library, num, eventNames, sizes, times, errors, events):  argument
396 def plotSummaryBar(library, num, eventNames, sizes, times, events):  argument
412       times = np.array(events[arch][event])[:,0]
448 def run_DMDA(ex, name, opts, args, sizes, times, events, log=True, execute=True):  argument
453 …essSummary(getLogName(newopts), args.stage, args.events, sizes[name], times[name], errors[name], e…
456 def run_DMPlex(ex, name, opts, args, sizes, times, events, log=True, execute=True):  argument
463 …processSummary(getLogName(newopts), stage, args.events, sizes[name], times[name], errors[name], ev…
466 def outputData(sizes, times, events, name = 'output.py'):  argument
477     f.write('events = '+repr(events)+'\n')
525   events  = {}  variable
543     events[name]  = {}
544 …getattr(__main__, 'run_'+args.dmType)(ex, name, opts, args, sizes, times, events, log=log, execute…
545   outputData(sizes, times, events)
549 …  getattr(__main__, 'plot'+plot)(args.library, args.num, args.events, sizes, times, errors, events)