result = []
time = []
bestR = []
bestD = 10**(20)
dict = []
constk = 10
for idx in range(5):
result = []
k = (idx + 1) * constk
# percent = 0.1 + 0.1*idx
ep = []
#get the time
tools = Tool(data)
start = datetime.datetime.now().timestamp()
a, b, c = tools.Generic_Algorithm(k, t, percent)
end = datetime.datetime.now().timestamp()
time.append(end - start)
for i in range(10):
np.random.shuffle(data)
tools = Tool(data)
a, b, c, e = tools.Generic_Algorithm_Epoch(k, t, percent, epoch)
ep.append(e)
if b < bestD:
bestR = np.copy(a)
bestD = b
dict = copy.deepcopy(c)
ep = np.asarray(ep)
resultSum.append(np.sum(ep, axis=0).tolist())
