#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:Dang

\'\'\'
Part1  设置随机值
\'\'\'
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

arrivingtime = np.random.uniform(0,10,size = 20)
arrivingtime.sort()
workingtime = np.random.uniform(1,3,size = 20)
# np.random.uniform 随机数：均匀分布的样本值

startingtime = [0 for i in range(20)]
finishtime = [0 for i in range(20)]
waitingtime = [0 for i in range(20)]
emptytime = [0 for i in range(20)]
# 开始时间都是0
print(\'arrivingtime\n\',arrivingtime,\'\n\')
print(\'workingtime\n\',workingtime,\'\n\')
print(\'startingtime\n\',startingtime,\'\n\')
print(\'finishtime\n\',finishtime,\'\n\')
print(\'waitingtime\n\',waitingtime,\'\n\')
print(\'emptytime\n\',emptytime,\'\n\')

\'\'\'
Part2  第一人上厕所时间
\'\'\'
startingtime[0] = arrivingtime[0]
# 第一个人之前没有人，所以开始时间 = 到达时间
finishtime[0] = startingtime[0] + workingtime[0]
# 第一个人完成时间 = 开始时间 + “工作”时间
waitingtime[0] = startingtime[0]-arrivingtime[0]
# 第一个人不用等待
print(startingtime[0])
print(finishtime[0])
print(waitingtime[0])

\'\'\'
Part3  第二人之后
\'\'\'
for i in range(1,len(arrivingtime)):
    if finishtime[i-1] > arrivingtime[i]:
        startingtime[i] = finishtime[i-1]
    else:
        startingtime[i] = arrivingtime[i]
        emptytime[i] = arrivingtime[i] - finishtime[i-1]
    # 判断：如果下一个人在上一个人完成之前到达，则 开始时间 = 上一个人完成时间，
    # 否则 开始时间 = 到达时间，且存在空闲时间 = 到达时间 - 上一个人完成时间
    finishtime[i] = startingtime[i] + workingtime[i]
    waitingtime[i] = startingtime[i] - arrivingtime[i]
    print(\'第%d个人：到达时间 开始时间 “工作”时间 完成时间 等待时间\n\' %i,
          arrivingtime[i],
          startingtime[i],
          workingtime[i],
          finishtime[i],
          waitingtime[i],
         \'\n\')

print(\'arerage waiting time is %f\' %np.mean(waitingtime))

"""
数据统计
"""
sns.set(style = \'ticks\',context = "notebook")
fig = plt.figure(figsize = (8,6))
arrivingtime, = plt.plot(arrivingtime,label = \'arrivingtime\')
startingtime, = plt.plot(startingtime,label = \'startingtime\')
workingtime, = plt.plot(workingtime,label = \'workingtime\')
finishtime, = plt.plot(finishtime,label = \'finishtime\')
waitingtime, = plt.plot(waitingtime,label = \'waitingtime\')

plt.title(("Queuing problem random simulation experiment").title())

plt.xlabel("Arriving Time(min)")
plt.ylabel("Total Time(min)")

plt.legend(handles=[arrivingtime,startingtime,workingtime,finishtime,waitingtime],
           loc = \'upper left\')

plt.show()