def getRunNumber(self):
return self.args.number[0]
+PROBLEMS = []
+
TUNABLEHEADER = ["DECOMPOSEORDER", "MUSTREACHGLOBAL", "MUSTREACHLOCAL", "MUSTREACHPRUNE", "OPTIMIZEORDERSTRUCTURE",
"ORDERINTEGERENCODING", "PREPROCESS", "NODEENCODING", "EDGEENCODING", "MUSTEDGEPRUNE", "ELEMENTOPT",
"ENCODINGGRAPHOPT", "ELEMENTOPTSETS", "PROXYVARIABLE", "MUSTVALUE", "NAIVEENCODER", "VARIABLEORDER",
row["EXECTIME"] = configs["EXECTIME"]
def loadProblemName(row,filename):
+ global PROBLEMS
with open(filename) as f:
- row["PROBLEM"] = f.readline().replace("\n","")
+ problem = f.readline().replace("\n","")
+ probNumber = int(f.readline())
+ if probNumber >= len(PROBLEMS):
+ PROBLEMS.insert(probNumber,problem)
+ elif PROBLEMS[probNumber] != problem:
+ PROBLEMS[probNumber] = problem
+ row["PROBLEM"] = problem
+
def loadTunerNumber(row, filename):
with open(filename) as f:
row["TUNERNUMBER"] = f.readline().replace("\n","")
rows.append(row)
return rows, data
-def tunerNumberAnalysis(file, rows):
+def tunerCountAnalysis(file, rows):
global TUNABLEHEADER
+ global PROBLEMS
tunercount = {}
tunernumber = {}
for row in rows:
mystr=""
for i in range(18):
- mystr+=row[TUNABLEHEADER[i]]
+ if not row[TUNABLEHEADER[i]]:
+ mystr += "."
+ else:
+ mystr+=row[TUNABLEHEADER[i]]
if mystr not in tunercount:
tunercount.update({mystr : 1})
tunernumber.update({mystr : str(row["TUNERNUMBER"])})
print ("Number of repititive tuners")
for key in tunercount:
if tunercount[key] > 1:
- print (key + "(ids:" + tunernumber[key] + ") = #" + str(tunercount[key]))
+ print key + "(ids:" + tunernumber[key] + ") = #" + str(tunercount[key])
+
+def combineRowForEachTuner(rows):
+ global PROBLEMS
+ newRows = []
+ combined = None
+ for row in rows:
+ if row["PROBLEM"] == PROBLEMS[0]:
+ combined = row
+ for key in row:
+ if row[key]:
+ combined[key] = row[key]
+ if row["PROBLEM"] == PROBLEMS[len(PROBLEMS)-1]:
+ newRows.append(combined)
+ return newRows
def transformDataset(rows):
print(rows)
+
+
def main():
global TUNABLEHEADER
file = open("tuner.csv", "w")
rows, data = analyzeLogs(file)
- tunerNumberAnalysis(file, rows)
+ tunerCountAnalysis(file, combineRowForEachTuner(rows) )
file.close()
#transformDataset(data)
pl.plot(data, TUNABLEHEADER)
- return
+
if __name__ == "__main__":
main()