forked from Github_Repos/cvw
updates to bp result parsing script.
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4a9dbe4680
commit
f0d32a745a
@ -179,7 +179,7 @@ if(sys.argv[1] == '-b'):
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#ComputeArithmeticAverage(benchmarks)
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#ComputeArithmeticAverage(benchmarks)
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ComputeAll(benchmarks)
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ComputeAll(benchmarks)
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ComputeGeometricAverage(benchmarks)
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ComputeGeometricAverage(benchmarks)
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print('CONFIG: %s GEO MEAN: %f' % (config, GeometricAverage(benchmarks, 'BDMR')))
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#print('CONFIG: %s GEO MEAN: %f' % (config, GeometricAverage(benchmarks, 'BDMR')))
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configList.append((config.split('.')[0], benchmarks))
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configList.append((config.split('.')[0], benchmarks))
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# Merge all configruations into a single list
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# Merge all configruations into a single list
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@ -212,7 +212,7 @@ if(sys.argv[1] == '-b'):
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size = len(benchmarkDict)
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size = len(benchmarkDict)
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index = 1
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index = 1
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if(summery == 0):
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if(summery == 0):
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print('Number of plots', size)
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#print('Number of plots', size)
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for benchmarkName in benchmarkDict:
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for benchmarkName in benchmarkDict:
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currBenchmark = benchmarkDict[benchmarkName]
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currBenchmark = benchmarkDict[benchmarkName]
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(names, values) = FormatToPlot(currBenchmark)
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(names, values) = FormatToPlot(currBenchmark)
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@ -249,7 +249,7 @@ if(sys.argv[1] == '-b'):
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print(dct)
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print(dct)
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for cat in dct:
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for cat in dct:
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(x, y) = dct[cat]
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(x, y) = dct[cat]
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plt.scatter(x, y, label=cat)
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plt.scatter(x, y, label='k')
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plt.plot(x, y)
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plt.plot(x, y)
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plt.ylabel('Prediction Accuracy')
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plt.ylabel('Prediction Accuracy')
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plt.xlabel('Size (b or k)')
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plt.xlabel('Size (b or k)')
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