The Gaudi Framework  v29r0 (ff2e7097)
plotClonesPyRoot.py
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1 from ROOT import *
2 import sys
3 import re
4 
5 """
6 Prepare the clones plot.
7 Parses the end of the output file, printed by the destructors of the CPUCruncher.
8 A line with the pattern "Summary: name=" is looked for.
9 The number of Events in flight is parsed as well.
10 """
11 
12 # configure
13 Color = kBlue
14 MarkerStyle = kFullStar
15 MarkerSize = 3.8
16 
17 NEventsInFlight = 0
18 NThreads = -1
19 
20 
21 def parseLog(logfilename):
22  global NEventsInFlight
23  global NThreads
24  ifile = open(logfilename, "r")
25  lines = ifile.readlines()
26  vals = []
27  for line in lines:
28  if "Summary: name=" in line:
29  runtime_nclones = map(float,
30  re.match(".* avg_runtime= ([0-9]*.[0-9]*|[0-9]*.[0-9]*e-[0-9]*) n_clones= ([0-9]).*", line).groups())
31  vals.append(runtime_nclones)
32  elif "Running with" in line:
33  NEventsInFlight, NThreads = map(int, re.match(
34  ".* Running with ([0-9]*) parallel events.*algorithms, ([0-9]*) threads", line).groups())
35 
36  return vals
37 
38 
39 def createGraph(vals):
40  graph = TGraph(len(vals))
41  counter = 0
42  for runtime, nclones in vals:
43  graph.SetPoint(counter, runtime, nclones)
44  counter += 1
45 
46  graph.SetMarkerStyle(MarkerStyle)
47  graph.SetMarkerSize(MarkerSize)
48  graph.SetMarkerColor(Color)
49  graph.SetTitle(
50  "GaudiHive Speedup (Brunel, 100 evts);Algorithm Runtime [s];Number of Clones")
51  return graph
52 
53 
54 def getText(x, y, text, scale, angle, colour, font, NDC=False):
55  lat = TLatex(float(x), float(y),
56  "#scale[%s]{#color[%s]{#font[%s]{%s}}}" % (scale, colour, font, text))
57 
58  lat.SetNDC(NDC)
59  if angle != 0.:
60  lat.SetTextAngle(angle)
61  return lat
62 
63 
64 def getCountLatexes(vals, xmax):
65  # print vals
66  def getNclones(runtime_nclones):
67  return runtime_nclones[1]
68  max_nclones = int(max(vals, key=getNclones)[1])
69 
70  latexes = []
71  for i in xrange(1, max_nclones + 1):
72  n_algos = len(
73  filter(lambda runtime_nclones: runtime_nclones[1] == i, vals))
74  latexes.append(getText(xmax * 1.01,
75  i,
76  n_algos,
77  .7,
78  0,
79  600,
80  12))
81 
82  label = getText(.95,
83  .55,
84  "Total",
85  .8,
86  270,
87  600,
88  12,
89  True)
90 
91  latexes.append(label)
92 
93  return latexes
94 
95 
96 def doPlot(logfilename):
97  global NEventsInFlight
98  global NThreads
99  vals = parseLog(logfilename)
100  graph = createGraph(vals)
101  nalgorithms = len(vals)
102 
103  canvas = TCanvas("Clones", "Clones", 1024, 768)
104  canvas.cd()
105  canvas.SetGrid()
106  graph.Draw("AP")
107 
108  # Latex
109 
110  countLatexes = getCountLatexes(vals, graph.GetXaxis().GetXmax())
111  map(lambda latex: latex.Draw(), countLatexes)
112  evtsIf = getText(.6, .365,
113  "#splitline{#splitline{%s Simultaneous Events}{%s Threads}}{%s Algorithms}" % (
114  NEventsInFlight, NThreads, nalgorithms),
115  .8, 0, 2, 12, True)
116  evtsIf.Draw()
117 
118  a = raw_input("press enter to continue")
119  canvas.Print("PlotClones.png")
120 
121 
122 if __name__ == "__main__":
123  argc = len(sys.argv)
124  if argc != 2:
125  print "Usage: plotClonesPyRoot.py logfilename"
126  sys.exit(1)
127  doPlot(sys.argv[1])
def getText(x, y, text, scale, angle, colour, font, NDC=False)
def parseLog(logfilename)
def getCountLatexes(vals, xmax)
def doPlot(logfilename)
struct GAUDI_API map
Parametrisation class for map-like implementation.