# arr = [[0] * 4] * 10
# for i in range(len(temp)):
# if(temp[i]=='0'):
# arr[i][0]=1
# elif(temp[i]=='1'):
# arr[i][1] = 1
# elif(temp[i]=='2'):
# arr[i][2] = 1
# elif(temp[i] == '3'):
# arr[i][3] = 1
# newarr.append(arr)
# print(newarr)
# Utils.save("bianli.npy",newarr) #三维数组
newarr = np.matrix.tolist(Utils.load("bianli.npy"))
data = inputdata.get_data()
xunlianflag = []
xunliantime = []
rand_match = []
num = 0
len = len(data)
for adata in data[int(len * 16 / 40):int(len * 17 / 40)]:
origin_adata = []
origin_adata.append(adata)
mintime = 1000000
favjuece = None
i = 0
num = num + 1
for juece in newarr:
if (i % 1000 == 0):
print(juece, num, "->", i)
import random
import matplotlib.pyplot as plt
import math, random
import numpy as np
import inputdata
import Utils
ar = [[0, 0, 0, 0] for i in range(10)]
for i in range(10):
index = random.randint(2, 4)
ar[i][index - 1] = 1
arr = []
arr.append(ar)
origin_data = inputdata.get_data()
train_data = inputdata.get_input_data(origin_data)
split = int(len(origin_data) * 0.8)
xunlian_data = origin_data[0:split]
pre_data = origin_data[split:len(origin_data)]
pre_time = []
xunlian_time = []
#训练组80%的数据
for i in range(len(xunlian_data)):
xunlian_adata = []
xunlian_adata.append(np.array(xunlian_data[i]))
pici = inputdata.cul_pici(arr, 1)
dic, b_dic = inputdata.daikuan(xunlian_adata, pici)
# print("每个批次任务的带宽分配情况：", b_dic)
time_ = inputdata.jisuan(xunlian_adata, dic, b_dic)
xunlian_time.append(time_)
print("随机匹配的训练80%任务的时间列表长度", len(xunlian_time))
