我被阿里云美女清宵的观后感给撩了

简介: 这是她看完药神之后的观后感,看到chanel的声明,就吸引我一直把它读完。package mainimport ( "fmt" "math/rand" "sync" "time")var ( r = rand.

这是她看完药神之后的观后感,看到chanel的声明,就吸引我一直把它读完。

package main

import (
    "fmt"
    "math/rand"
    "sync"
    "time"
)

var (
    r = rand.New(rand.NewSource(time.Now().Unix()))

    disasterSignal = make(chan string)
    accidentSignal = make(chan string)
    diseaseSignal  = make(chan string)
)

// Element : abstract factor which life consisted by
type Element interface {
    Improve()
    Depress()
    Stable()
    Enable() bool
    BeAbleHandle(event string) bool
}

type Activity interface {
    IsSuitable(life *Life) bool
    Do(life *Life)
    Interrupted()
}

type Life struct {
    Sex string
    Age time.Duration

    Health       Element
    Knowledge    Element
    Ability      Element
    RelationShip Element
    Wealth       Element
    OtherElement Element

    Work        Activity
    Study       Activity
    Exercise    Activity
    Entertain   Activity
    Rest        Activity
    OtherActive Activity

    isDoings []Activity

    vitalitySignal chan struct{}
    NaturalDeath   chan struct{}
}

func (f *Life) Join(oppositeSex *Life, love, family Element) (*Life, error) {
    if !love.Enable() || !family.Enable() || f.Sex == oppositeSex.Sex {
        return nil, fmt.Errorf("Sorry, no boby should be borned!")
    }

    boby := &Life{
        Sex:            []string{"male", "female"}[r.Intn(2)],
        Age:            0,
        isDoings:       []Activity{},
        NaturalDeath:   make(chan struct{}),
        vitalitySignal: make(chan struct{}),
    }

    return boby, nil
}

func (f *Life) Run() {
    go ExternalEndanger(f)
    // time elapses day by day
    for {
        startTime := time.Now().UTC()
        wg := &sync.WaitGroup{}

        for _, active := range []Activity{f.Study, f.Work, f.Entertain, f.Exercise, f.Rest, f.OtherActive} {
            if f.SuitableFor(active) {
                wg.Add(1)
                go func(activity Activity) {
                    defer wg.Wait()
                    activity.Do(f)
                }(active)
            }
        }

        select {
        case <-f.NaturalDeath:
            f.Close()
            fmt.Println("Life is short, make it colourful and cherish the love around all!")
            return
        case <-f.vitalitySignal:
            fmt.Println("记得买保险!")
            return
        case <-time.After(24*time.Hour - time.Now().UTC().Sub(startTime)):
            fmt.Println("One day went by...")
        }
        //wg.Wait()
        f.Age += 24 * time.Hour
    }

    fmt.Println("Goodbye, life!")
}

func (f *Life) Somehow() {
    // happened something to effect one to reach some life stage
}

func (f *Life) SuitableFor(active Activity) bool {
    return active.IsSuitable(f)
}

func (f *Life) Survive(event string) bool {
    for _, e := range []Element{f.Health, f.Knowledge, f.Ability, f.RelationShip, f.Wealth, f.OtherElement} {
        if !e.BeAbleHandle(event) {
            return false
        }
    }

    return true
}

func (f *Life) Close() {
    for _, doing := range f.isDoings {
        doing.Interrupted()
    }

    close(f.vitalitySignal)
}

var female = LifeFromSomeWhere("female")
var male = LifeFromSomeWhere("male")

func ExternalEndanger(f *Life) {
    for {
        event := ""
        select {
        case event = <-diseaseSignal:
        case event = <-disasterSignal:
        case event = <-accidentSignal:
        }

        if !f.Survive(event) {
            f.Close()
            return
        }
    }
}

func LifeFromSomeWhere(sex string) *Life {
    life := &Life{Sex: sex}
    life.Somehow()

    return life
}

func main() {
    // I don't know the question of "鸡生蛋 or 蛋生鸡"...
    newLife, err := female.Join(male, ElementImp{Type: "love"}, ElementImp{Type: "family"})
    if err == nil {
        newLife.Run()
    }
}

原贴地址是阿里云云栖社区,拼命三郎OL引用自 程序媛比码大赛 不秀美颜 秀代码-清宵参与的聚能聊话题-云栖社区

相关文章
|
机器学习/深度学习 数据挖掘 PyTorch
Logistic Regression 逻辑斯蒂回归
Logistic Regression 逻辑斯蒂回归
352 0
|
机器学习/深度学习 编解码 人工智能
论文介绍:HigherHRNet——用于自下而上人体姿态估计的尺度感知表示学习
【5月更文挑战第22天】HigherHRNet是针对自下而上人体姿态估计的尺度感知方法,通过构建高分辨率特征金字塔,改善多尺度人体姿态估计的准确性。该论文提出的新架构在COCO测试集上提高了2.5%的中号人物平均精度,达到70.5%的AP,且在CrowdPose上超越所有自上而下方法,实现67.6%的AP。作者通过消融实验验证了各个组件的重要性,并指出未来可优化模型以适应更复杂场景。论文链接:[https://arxiv.org/abs/1908.10357](https://arxiv.org/abs/1908.10357)
265 1
|
存储 监控 NoSQL
RedisSearch与Elasticsearch:技术对比与选择指南
RedisSearch与Elasticsearch:技术对比与选择指南
HTML标签之文字滚动效果(跑马灯效果)
HTML标签之文字滚动效果(跑马灯效果)
|
API Windows
MASM32编程分析、获取命令行参数
MASM32编程分析、获取命令行参数
|
缓存 监控 架构师
价值32k!阿里顶级架构师深度解析SpringBoot进阶原理实战手册
在当下的互联网应用中,业务体系日益复杂,业务功能也在不断地变化。以典型的电商类应用为例,其背后的业务功能复杂度以及快速迭代要求的开发速度,与5年前的同类业务系统相比,面临着诸多新的挑战。这些挑战中核心的一点就是快速高效地实现系统功能,同时保证代码持续可维护,这是一个非常现实且亟待解决的问题。
|
安全 前端开发 数据挖掘
透过三组数字,认识阿里巴巴2023ESG报告中的 "瓴羊"
透过三组数字,认识阿里巴巴2023ESG报告中的 "瓴羊"
446 0
|
计算机视觉
Markdown编辑器常用颜色背景指南(附颜色与代码展示,cv即可用)
Markdown编辑器常用颜色背景指南(附颜色与代码展示,cv即可用)
|
开发者
css_制作登录界面(渐变_简约)
css_制作登录界面(渐变_简约)
280 0