log.info("Extracting features...")
features.extrair(benchmark, prog)
log.info("Processing...")
ini = time.time()
programs = _oneOut(benchmark, prog)
_process(programs)
fim = time.time()
log.debug("\t Process Time: " + str(fim - ini))
def _process(programs):
ml = ML(programs)
f = open("features.csv", "r")
out = open("featuresml.txt", "w")
next(f)
for linha in f:
data = linha.strip("\n")
id = linha.split(",")[0]
res = ml.prediction(data.split(","))
out.write(str(id) + "," + str(res) + "\n")
out.close()
f.close()
def _oneOut(benchmark, prog):
return [p for p in benchmark.programs() if p not in prog]
if __name__ == '__main__':
b = benchmarks.create(3)
execute(b, 'JGFSeriesBenchSizeB')
return comando
def execute(bench, prog):
print "Executando: " + prog
config.remover()
comando = bench.command(prog)
print comando
ini = time.time()
subprocess.call(comando)
fim = time.time()
print " Tempo: " + str(fim - ini)
copyfile(config.DADOS + "/counter.txt",
config.DADOS + "/counter_" + prog + ".txt")
def processarArgumentos():
parser = argparse.ArgumentParser(description='Script para o Contador',
formatter_class=RawTextHelpFormatter)
parser.add_argument("-b", default=0, type=int, help=benchmarks.help())
parser.add_argument("-p", required="True", help="Nome do programa")
return parser.parse_args()
if __name__ == '__main__':
args = processarArgumentos()
print "*** Counter ***"
config.criarDiretorios()
bench = benchmarks.create(args.b)
execute(Contador(bench), args.p)
n = len(df)
df.loc[n] = df.loc[i]
return n
def alterarLinha(df, i, plano):
x = 1
for s in plano:
st = "O" + str(x)
x = x + 1
df.set_value(i, st, s)
for j in xrange(config.ML_LEN - (x - 1)):
st = "O" + str(j + x)
df.set_value(i, st, "0")
def processar(tempos, prog, level):
print "Processando Caracteristicas..."
df = pd.read_csv("features.csv")
#tam = len(binary_repr(lab.tamanho()-1))
adicionarColunas(df)
adicionarLinhas(df, tempos)
df.to_csv(config.TREINOS + "/treino_" + level + "_" + prog + ".csv",
index=False)
if __name__ == '__main__':
print("Extraindo caracteristicas...")
#executar(BenchExpOne(None))
extrair(benchmarks.create(1), 'fop')