changes
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anil
@@ -569,7 +569,7 @@ def unique_everseen(iterable, key=None):
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seen_add(k)
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yield element
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def plotBox(yList,labels, fn, rotate=False,limit=True):
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def plotBox(yList,labels, fn, xAxisLabel,yAxisLabel, rotate=False,limit=True):
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import matplotlib
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matplotlib.use("TkAgg")
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import matplotlib.pyplot as plt
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@@ -583,7 +583,7 @@ def plotBox(yList,labels, fn, rotate=False,limit=True):
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flierprops = dict(markeredgecolor ='black',markerfacecolor=
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'black',marker='.',markersize=2)
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box = ax1.boxplot(yList, 0, flierprops=flierprops,widths=0.5, showmeans=False, vert=True,meanprops=meanpointsprops)
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box = ax1.boxplot(yList, 0, flierprops=flierprops,widths=0.5, showmeans=True, vert=False,meanprops=meanpointsprops)
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for line in box['medians']:
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x,y = line.get_xydata()[1]
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line.set(linewidth=3)
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@@ -598,15 +598,17 @@ def plotBox(yList,labels, fn, rotate=False,limit=True):
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else:
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# ax1.set_xticklabels(labels)
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# ax1.set_xticklabels(None)
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ax1.get_xaxis().set_ticklabels([])
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ax1.set_yticklabels(labels, rotation=45, ha='right')
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ax1.get_yaxis().set_ticklabels(labels)
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# sns.boxplot(yList, ax=ax1)
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if limit:
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ax1.set_ylim(top=1.1,bottom=0)
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ax1.set_xlim(left=0)
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ax1.yaxis.set_ticks([0.0,1.0])
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else:
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ax1.set_yscale('log')
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ax1.set_xlabel('Cluster Member Size')
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ax1.set_ylabel('Folds')
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# ax1.set_yscale('log')
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ax1.set_xlim(left=0)
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ax1.set_xlabel(xAxisLabel)
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ax1.set_ylabel(yAxisLabel)
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plt.ion()
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plt.subplots_adjust(wspace=0, hspace=0)
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+47
-17
@@ -33,7 +33,7 @@ if __name__ == '__main__':
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# subject = 'ALL'
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# rootType = 'if'
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# job = 'validateCodeFlaws'
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job = 'validateIntro'
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print(job)
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@@ -42,29 +42,55 @@ if __name__ == '__main__':
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createDS()
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elif job == 'introRes':
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with open(join(DATA_PATH,'introTestResults186'),'r') as f:
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lines = f.readlines()
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success = [i for i in lines if i.strip().endswith('success')]
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def readResultFile(resFile):
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with open(join(DATA_PATH,resFile),'r') as f:
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lines = f.readlines()
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def getPatterns(x):
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regex = r"fix (.*) by (.*) times:1, success"
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matches = re.finditer(regex, x, re.MULTILINE)
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match = list(matches)
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fixes = []
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if len(match) >= 1:
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for m in match:
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t = m.group(1), m.group(2)
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fixes.append(t)
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return fixes
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success = [i for i in lines if i.strip().endswith('success')]
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patchCandidates = {}
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def getPatterns(x):
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regex = r"fix (.*) by (.*) times:1, success"
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matches = re.finditer(regex, x, re.MULTILINE)
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match = list(matches)
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fixes = []
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if len(match) >= 1:
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patchCandidates[x.split(',')[0]] =re.findall(r"@True[a-zA-z\:0-9\.\-\_]+@", x, re.MULTILINE)
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for m in match:
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t = m.group(1), m.group(2)
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fixes.append(t)
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return fixes
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success = [getPatterns(i) for i in success]
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success = [getPatterns(i) for i in success]
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aDf = pd.DataFrame(columns=['bid','candidates'])
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idx = 0
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for k,v in patchCandidates.items():
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aDf.loc[idx] = [k,[v]]
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idx+=1
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aDf['noTested'] = aDf.candidates.apply(lambda x: len(x[0]))
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aDf['pos'] = aDf.candidates.apply(lambda x: x[0][-1].split(':')[1])
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aDf['pos'] = aDf['pos'].apply(lambda x: int(x))
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return aDf,success
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aDf,success =readResultFile('introTestResults186')
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bDf,success =readResultFile('introTestResultsWhite')
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plotBox([aDf['noTested'].values.tolist(),bDf['noTested'].values.tolist()], ['blackbox','whitebox'] ,'test.pdf',yAxisLabel='',xAxisLabel='Position of the first plausible patch', limit=False)
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patterns = pd.DataFrame(columns=['bug','pj','pattern'])
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for idx,suc in enumerate(success):
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bug,pattern =suc[0]
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pj =bug.split(':')[1]
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patterns.loc[idx] = [bug,pj,pattern.split(pj+'.c')[-1]]
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patterns
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fixPatterns = patterns.groupby(by=['pattern'], as_index=False).agg(lambda x: x.tolist())
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fixPatterns['count'] = fixPatterns.bug.apply(lambda x: len(x))
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fixPatterns.sort_values(by=['count'], ascending=False, inplace=True)
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fixPatterns[['pattern','count']].to_latex(index=False)
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for i in fixPatterns.pattern.values.tolist():
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i = re.findall(r"((.*)\.c$)", i, re.MULTILINE)[0][1]
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shutil.copy2(join(DATA_PATH, 'patches', 'cocci', i), join(DATA_PATH, 'white', i))
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summary = patterns.groupby(by=['pj'], as_index=False).agg(lambda x: x.tolist())
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summary['bCount'] = summary.bug.apply(lambda x:len(x))
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@@ -74,6 +100,10 @@ if __name__ == '__main__':
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elif job =='dataset4c':
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from otherDatasets import core
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core()
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elif job =='datasetIntro':
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from introDS import core
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core()
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elif job =='richedit':
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dbDir = join(DATA_PATH, 'redis')
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stopDB(dbDir, REDIS_PORT)
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@@ -102,7 +132,7 @@ if __name__ == '__main__':
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elif job == 'cluster':
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from abstractPatch import cluster
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dbDir = join(DATA_PATH, 'redis')
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dbDir = join(ROOT_DIR,'data','redis')
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startDB(dbDir, REDIS_PORT, PROJECT_TYPE)
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cluster(join(DATA_PATH,'actions'),join(DATA_PATH, 'pairs'),'actions')
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