import numpy as np
import random


def calculate_data_official(data_1, dataset_w):
    res = 0
    index = 0
    for i in data_1:
        for j in i:
            res += j * dataset_w[index]
            index += 1
    return float("%.3f" % res)


print(123);


data1 = np.array([[1, 1, 1], [1, 0, 1], [1, 0, 1], [1, 1, 1]])
dataSetW = np.empty(12)
for i in range(0, 12):
    dataSetW[i] = float('%.3f' % random.normalvariate(0, 1))
print(calculate_data_official(data1, dataSetW))
res1 = calculate_data_official(data1, dataSetW)
res2 = calculate_data(data1, dataSetW)
print("expected output is :", end="")
print(res1)
print("real output is :", end="")
print(res2)
if res1 == res2:
    print("success")
else:
    print("fail")