if javaFlag:
faultMatrix = "input/{}_{}/fault_matrix.txt".format(prog, v)
else:
faultMatrix = "input/{}_{}/fault_matrix_key_tc.pickle".format(prog, v)
outpath = "outputBudget-{}/{}_{}/".format(covType, prog, v)
sPath = outpath + "selections/"
tPath = outpath + "measures/"
numOfTCS = sum((1 for _ in open(inputFile)))
for reduction in range(1, 30 + 1):
B = int(numOfTCS * reduction / 100)
for run in range(repeats):
pTime, rTime, sel = fastr.fastPlusPlus(inputFile, dim=dim, B=B)
fdl = metric.fdl(sel, faultMatrix, javaFlag)
sOut = "{}/{}-{}-{}.pickle".format(sPath, "FAST++", reduction,
run + 1)
pickle.dump(sel, open(sOut, "wb"))
tOut = "{}/{}-{}-{}.pickle".format(tPath, "FAST++", reduction,
run + 1)
pickle.dump((pTime, rTime, fdl), open(tOut, "wb"))
print("FAST++", reduction, pTime, rTime, fdl)
for run in range(repeats):
pTime, rTime, sel = fastr.fastCS(inputFile, dim=dim, B=B)
fdl = metric.fdl(sel, faultMatrix, javaFlag)
sOut = "{}/{}-{}-{}.pickle".format(sPath, "FAST-CS", reduction,
run + 1)
pickle.dump(sel, open(sOut, "wb"))
def one_(x):
return 1
inputFile = "input/scalability/scalability-bbox.txt"
outpath = "outputLargeScale/"
sPath = outpath + "selections/"
tPath = outpath + "measures/"
numOfTCS = sum((1 for _ in open(inputFile)))
if alg == "FAST++":
for reduction in range(repetitions):
B = int(numOfTCS * reduction / 100)
pTime, rTime, sel = fastr.fastPlusPlus(inputFile,
dim=dim,
B=B,
memory=False)
sOut = "{}/{}-{}.pickle".format(sPath, "FAST++", reduction + 1)
pickle.dump(sel, open(sOut, "wb"))
tOut = "{}/{}-{}.pickle".format(tPath, "FAST++", reduction + 1)
pickle.dump((pTime, rTime), open(tOut, "wb"))
print("FAST++", reduction + 1, pTime, rTime)
if alg == "FAST-CS":
for reduction in range(repetitions):
B = int(numOfTCS * reduction / 100)
pTime, rTime, sel = fastr.fastCS(inputFile,
dim=dim,
B=B,
memory=False)
sOut = "{}/{}-{}.pickle".format(sPath, "FAST-CS", reduction + 1)