[Functional Programming] Randomly Pull an Item from an Array with the State ADT (Pair)
Functor composition is a powerful concept that arises when we have one Functor nested in another Functor. It becomes even more powerful when both of those are Chains, allowing us to apply each Functor’s special properties and effects for a given computation.
We witness this power first hand by combining our beloved State with a Pair type mixing the ability to randomly pick an index from an Array using State and use it to draw an element from the Array. We will build up to an easy to use interface that allows us to pull as many elements as we need, by chaining on single State transaction.
// getDeck :: () -> State AppState Deck
const getDeck = () => generateCards()
.map(xs => Pair([], xs));
/**
Pair(
[ ],
[ { id: "orange-square", color: "orange", shape: "square" }, { id: "orange-triangle", color: "orange", shape: "triangle" }, { id: "orange-circle", color: "orange", shape:
"circle" }, { id: "green-square", color: "green", shape: "square" }, { id: "green-triangle", color: "green", shape: "triangle" }, { id: "green-circle", color: "green", shape: "circle" }, { id: "blue-square", color: "blue", shape: "square" }, { id: "blue-triangle", color: "blue", shape: "triangle" }, { id: "blue-circle", color: "blue", shape: "circle" }, { id: "yellow-square", color: "yellow", shape: "square" }, { id: "yellow-triangle", color: "yellow", shape: "triangle" }, { id: "yellow-circle", color: "yellow", shape: "circle" } ]
)
*/
// draw :: Integer -> Deck -> Deck
const draw = compose(
chain,
drawCardAt
);
// const draw = index => deck => deck.chain(drawCardAt(index)) // drawRandom :: Deck -> State AppState Deck
// From the right side pair, get a random index, then draw the card by index
const drawRandom = converge(
liftA2(draw),
compose(
randomIndex,
snd
),
liftState(identity)
) console.log(
getDeck()
.chain(drawRandom)
.chain(drawRandom)
.chain(drawRandom)
.evalWith(state).fst()
)
/**
* [ { id: 'orange-square', color: 'orange', shape: 'square' },
{ id: 'blue-triangle', color: 'blue', shape: 'triangle' },
{ id: 'blue-square', color: 'blue', shape: 'square' } ]
*/
console.log(
getDeck()
.chain(drawRandom)
.chain(drawRandom)
.chain(drawRandom)
.evalWith(state).snd()
)
/**
[ { id: 'orange-triangle', color: 'orange', shape: 'triangle' },
{ id: 'orange-circle', color: 'orange', shape: 'circle' },
{ id: 'green-square', color: 'green', shape: 'square' },
{ id: 'green-triangle', color: 'green', shape: 'triangle' },
{ id: 'green-circle', color: 'green', shape: 'circle' },
{ id: 'blue-circle', color: 'blue', shape: 'circle' },
{ id: 'yellow-square', color: 'yellow', shape: 'square' },
{ id: 'yellow-triangle', color: 'yellow', shape: 'triangle' },
{ id: 'yellow-circle', color: 'yellow', shape: 'circle' } ]
*/
------
const {prop,assoc, Pair, pick, bimap, State, snd, identity, omit, curry, filter, fanout, converge,map, composeK, liftA2, equals, constant,option, chain, mapProps, find, propEq, isNumber, compose, safe} = require('crocks');
const {get, modify, of} = State;
const state = {
colors: [ 'orange', 'green', 'blue', 'yellow' ],
shapes: [ 'square', 'triangle', 'circle' ],
seed: Date.now()
};
const liftState = (fn) => compose(
of, fn
);
const getState = key => get(prop(key))
// #region random
// nextSeed :: Integer -> Integer
const nextSeed = seed =>
(seed * + ) & 0x7fffffff
// value :: Integer -> Number
const value = seed =>
(seed >>> ) / 0x7fff
// normalize :: (Integer, Integer) -> Number -> Integer
const normalize = (min, max) =>
x => Math.floor(x * (max - min)) + min
// getNextSeed :: () -> State AppState Integer
const getNextSeed = () =>
get(({ seed }) => nextSeed(seed))
// updateSeed :: Integer -> State AppState ()
const updateSeed = seed =>
modify(assoc('seed', seed))
// nextValue :: Integer -> State AppState Number
const nextValue = converge(
liftA2(constant),
liftState(value),
updateSeed
)
// random :: () -> State AppState Number
const random =
composeK(nextValue, getNextSeed)
// between :: (Integer, Integer) -> State AppState Integer
const between = (min, max) =>
random()
.map(normalize(min, max));
const randomIndex = xs => between(, xs.length);
// #endregion
// #region generate
const getColors = () => getState('colors').map(option([]));
const getShapes = () => getState('shapes').map(option([]));
const buildCard = curry((color, shape) => ({
id: `${color}-${shape}`,
color,
shape
}));
const buildCards = liftA2(buildCard);
const generateCards = converge(
liftA2(buildCards),
getColors,
getShapes
);
// #endregion
// #region draw
const getAt = index => array => Array.of(array[index]);
const unsetAt = index => array => [
...array.slice(, index),
...array.slice(index + )
];
const drawCardAt = index => fanout(getAt(index), unsetAt(index));
// #endregion
// getDeck :: () -> State AppState Deck
const getDeck = () => generateCards()
.map(xs => Pair([], xs));
// draw :: Integer -> Deck -> Deck
const draw = compose(
chain,
drawCardAt
);
// const draw = index => deck => deck.chain(drawCardAt(index))
// drawRandom :: Deck -> State AppState Deck
const drawRandom = converge(
liftA2(draw),
compose(
randomIndex,
snd
),
liftState(identity)
)
console.log(
getDeck()
.chain(drawRandom)
.chain(drawRandom)
.chain(drawRandom)
.chain(drawRandom)
.evalWith(state).fst()
)
[Functional Programming] Randomly Pull an Item from an Array with the State ADT (Pair)的更多相关文章
- Beginning Scala study note(4) Functional Programming in Scala
1. Functional programming treats computation as the evaluation of mathematical and avoids state and ...
- a primary example for Functional programming in javascript
background In pursuit of a real-world application, let’s say we need an e-commerce web applicationfo ...
- Functional programming
In computer science, functional programming is a programming paradigm, a style of building the struc ...
- Functional Programming without Lambda - Part 2 Lifting, Functor, Monad
Lifting Now, let's review map from another perspective. map :: (T -> R) -> [T] -> [R] accep ...
- Functional Programming without Lambda - Part 1 Functional Composition
Functions in Java Prior to the introduction of Lambda Expressions feature in version 8, Java had lon ...
- Java 中的函数式编程(Functional Programming):Lambda 初识
Java 8 发布带来的一个主要特性就是对函数式编程的支持. 而 Lambda 表达式就是一个新的并且很重要的一个概念. 它提供了一个简单并且很简洁的编码方式. 首先从几个简单的 Lambda 表达式 ...
- Functional programming idiom
A functional programming function is like a mathematical function, which produces an output that typ ...
- 关于函数式编程(Functional Programming)
初学函数式编程,相信很多程序员兄弟们对于这个名字熟悉又陌生.函数,对于程序员来说并不陌生,编程对于程序员来说也并不陌生,但是函数式编程语言(Functional Programming languag ...
- Functional Programming 资料收集
书籍: Functional Programming for Java Developers SICP(Structure and Interpretation of Computer Program ...
随机推荐
- springboot整合mybatis+pageHelper
springboot整合mybatis+pageHelper 〇.搭建sporingboot环境,已经整合mybatis环境,本篇主要是添加pageHelper工具 一.添加依赖 <!-- 分页 ...
- select实现斐波那契和超时机制
package main import "fmt" func fib(ch chan <-int, quit <- chan bool){ x, y := 1, 1 f ...
- snakes
原地址 讨论区 Changing 算法一 我会随机! 由于我忘了设置多组数据,期望得分0至100. 算法二 我会模拟! 复杂度\(O(t^2)\),期望得分60. 但是很多人忘记题目给出的是环形-- ...
- Spring Mvc中@ResponseBody中文乱码解决,以及修改返回的Content-Type
http://www.codeif.com/topic/784 spring 3 mvc 的 @ResponseBody返回数据用起来很方便,但是中文乱码,而且返回的Content-Type不带编码信 ...
- Tomcat的类加载机制
一个功能健全的Web服务器,要解决如下几个问题: 部署在同一个服务器上的两个Web应用程序使用的Java 类库可以实现相互隔离.不能要求一个类库在一个服务器中只有一份,服务器应当保证两个应用程序的类 ...
- MYSQL从入门到放弃系列:mysql基础语法
Mysql基本语法 启动MySQL net start mysql 连接与断开服务器 mysql -h 地址 -P 端口 -u 用户名 -p 密码 跳过权限验证登录MySQL mysqld --ski ...
- POJ1751 Highways(Prim)
Highways Time Limit: 1000MS Memory Limit: 10000K Total Submissions: 13182 Accepted: 3814 Speci ...
- (转) 网络GET、POST方法
在iOS中,常见的发送HTTP请求(GET和POST)的解决方案有 苹果原生(自带) NSURLConnection:用法简单,最古老最直接的一种方案 NSURLSession:iOS7新出的技术,功 ...
- python 统计发送请求到接收response的时间
由于需要测试请求一个接口所耗用的时间,在网上查找资料也麻烦,所以自己总结一下 找到elapsed 函数 ,按照文档说的是获取请求发出的时间至响应到达经过的时间,,具体用法如下: 执行的结果是 微秒 单 ...
- [SRM570]TheTiles
题意:给一个$n\times m$的网格,对这个网格黑白染色,左上角为黑色.现在要用一些大小为$3$的L型图形覆盖这个网格,要求不能重复覆盖同一个格子,不能覆盖到障碍,L型可以进行旋转,但转角处格子必 ...