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)
170         sizes.append(event["dof"][0])
178 def plotTime(library, num, eventNames, sizes, times, events):  argument
182   arches = sizes.keys()
185     data.append(sizes[arch])
195 def plotEventTime(library, num, eventNames, sizes, times, events, filename = None):  argument
200   arches = sizes.keys()
208         data.append(sizes[arch][bs])
225 def plotEventFlop(library, num, eventNames, sizes, times, events, filename = None):  argument
229   arches = sizes.keys()
237         data.append(sizes[arch][bs])
281 def plotSummaryLine(library, num, eventNames, sizes, times, events):  argument
287   arches         = sizes.keys()
292       data.append(sizes[arch])
309           data.append(sizes[arch])
330           data.append(sizes[arch])
343 def plotMeshConvergence(library, num, eventNames, sizes, times, errors, events):  argument
348   print(sizes)
350   for run in sizes:
351     rsizes = np.array(sizes[run])
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
401   arches = sizes.keys()
403   N      = len(sizes[arches[0]])
420   plt.xticks(np.arange(N), map(str, sizes[arches[0]]))
448 def run_DMDA(ex, name, opts, args, sizes, times, events, log=True, execute=True):  argument
453 …processSummary(getLogName(newopts), args.stage, args.events, sizes[name], times[name], errors[name…
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
475     f.write('sizes  = '+repr(sizes)+'\n')
520   sizes   = {}  variable
540     sizes[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)