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)
157   for name in eventNames:
178 def plotTime(library, num, eventNames, sizes, times, events):  argument
195 def plotEventTime(library, num, eventNames, sizes, times, events, filename = None):  argument
204   for event, color in zip(eventNames, ['b', 'g', 'r', 'y']):
225 def plotEventFlop(library, num, eventNames, sizes, times, events, filename = None):  argument
233   for event, color in zip(eventNames, ['b', 'g', 'r', 'y']):
253 def plotEventScaling(library, num, eventNames, procs, events, filename = None):  argument
262     for event, color in zip(eventNames, ['b', 'g', 'r', 'y']):
281 def plotSummaryLine(library, num, eventNames, sizes, times, events):  argument
305     for event, color in zip(eventNames, ['b', 'g', 'r', 'y']):
326     for event, color in zip(eventNames, ['b', 'g', 'r', 'y']):
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
410     for event, color in zip(eventNames, eventColors):
423   plt.legend([bar[0] for bar in bars[arches[0]]], eventNames, 'upper right', shadow = True)