How to use memoFun method in fast-check-monorepo

Best JavaScript code snippet using fast-check-monorepo

index.js

Source:index.js Github

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1// Array.prototype.reduce23// 数组的reduce方法可以实现一个累加效果，它接收两个参数，4// 第一个是一个累加器方法，第二个是初始化值。5// 累加器接收四个参数，第一个是上次的计算值，第二个是数组的当前值，主要用的就是这两个参数，后面两个参数不常用，他们是当前index和当前迭代的数组：6// let arr=[[1,2],[3,4],[5,6]]7// // prevRes的初始值是传入的[]，以后会是每次迭代计算后的值8// let flatArr =arr.reduce((prevRes,item)=>prevRes.concat(item),[])910// console.log(flatArr)//[1, 2, 3, 4, 5, 6]111213//flat函数 - 数组扁平化14// const flat = (arr, initVal) => {15// const starVal = initVal || [];16// return arr.reduce((prevRes, item) => {17// // 如果里层还是数组，递归调用自身18// if (Array.isArray(item)) {//里层的数组数据19// return flat(item, prevRes);20// } else {21// return prevRes.concat(item);22// }2324// }, starVal)2526// }2728// const arr = [1, 2, [3, 4],29// [5, 6, [7, 8]]30// ];3132// const flatArr = flat(arr);33// console.log(flatArr);//[1, 2, 3, 4, 5, 6, 7, 8]34353637//我们想对递归的层数进行限制，我们可以再加一个参数来进行控制：38// const flat = (arr, depth, initVal) => {39// const startVal = initVal || [];40// return arr.reduce((prevRes, item) => {41// // 如果里层还是数组，递归调用自身42// if (Array.isArray(item) && depth > 1) {43// return flat(item, depth - 1, prevRes);44// } else {45// return prevRes.concat(item);46// }47// }, startVal)48// }4950// const arr = [1, 2, [3, 4],51// [5, 6, [7, 8]]52// ];53// const flatArr = flat(arr, 1); // 只扁平化一层5455// console.log(flatArr); // [1, 2, 3, 4, 5, 6, [7,8]]565758//斐波那契数，指的是这样一个数列：1、1、2、3、5、8、13、21、……59//在数学上，斐波那契数列以如下被以递归的方法定义：F0=0，F1=1，Fn=Fn-1+Fn-2，用文字来说，60//就是斐波那契数列由 0 和 1 开始，之后的斐波那契数列系数就由之前的两数相加。61const fibonacci = (x) => {62 if (x === 1 || x === 2) {63 return 1;64 }65 return fibonacci(x - 1) + fibonacci(x - 2);66}67// console.log(fibonacci(3))//268// console.log(fibonacci(4))//369// console.log(fibonacci(5))//570// console.log(fibonacci(6))//87172// const starTime = new Date().getTime()73// fibonacci(40)74// const needTime = new Date().getTime() - starTime7576// console.log(needTime + "毫秒") //计算40次斐波那契数列用的时间777879//由于每次调fibonacci的计算过程都是一样的，所以每次用时也是一样，80// 第一个参数是需要缓存的函数，第二个参数是用来生成缓存key的方法，如果不传就用第一个参数做key81const memo = function (fn, hasher) {82 const memoFun = function () {83 const cache = memoFun.cache;84 const args = [].slice.apply(arguments);85 const hashKey = hasher ? hasher.apply(this, arguments) : args[0];86 if (!cache[hashKey]) {87 cache[hashKey] = fn.apply(this, arguments);88 }8990 return cache[hashKey];91 }9293 memoFun.cache = {};94 return memoFun;95}96//然后我们用memo方法包装一下fibonacci，让他具有缓存功能：9798const cachedfFibonacci = memo(fibonacci);99100// 然后看下效果101let startTime = new Date().getTime();102cachedfFibonacci(40);103let needTime = new Date().getTime() - startTime;104105console.log(needTime); // 第一次运行时间还是要时间106107// 再调一次108startTime = new Date().getTime();109cachedfFibonacci(40);110needTime = new Date().getTime() - startTime;111112console.log(needTime); // 时间直接变为0了，直接取缓存，快到1毫秒都不要113114115//柯里化函数柯里化就是将一个接收多个参数的函数转化为一系列使用一个参数的函数的技术。实现的效果就是116// const fun = (a, b, c) => {return [a, b, c]};117// //上述函数经过科里化后就是118// const curriedFun = curry(fun);119// // curriedFun的调用变为 curriedFun(a)(b)(c)120// console.log(curriedFun)121122123// 观察上诉柯里化调用发现，它其实就是把参数都搜集起来了，每次调用搜集几个参数124// 当搜集的参数足够时执行主方法125const curry = (fn) => {126 // 先记录主方法原始的参数个数，fn.length就是函数接收的参数个数127 const paramsLength = fn.length;128129 return executeFun = (...args) => {130 // 如果接收参数够了，执行主方法131 if (args.length >= paramsLength) {132 return fn(...args);133 } else {134 // 如果参数不够，继续接收参数135 return (...args2) => {136 // 注意executeFun接收的参数是平铺的，需要将数组解构137 return executeFun(...args.concat(args2));138 }139 }140 }141}142143// 现在看下结果144const fun = (a, b, c) => {145 return [a, b, c]146};147//上述函数经过科里化后就是148const curriedFun = curry(fun);149150curriedFun(1)(2)(3); // [1, 2, 3]151curriedFun(1, 2)(3); // [1, 2, 3]152curriedFun(1, 2, 3); // [1, 2, 3]153154155156157// 我们有一个需求：实现一个搜索框，当用户连续输入的时候不发请求去搜索，158// 只有当用户输入暂停超过500毫秒才发请求。实现这个需求就需要我们的防抖函数了，因为是等待500毫秒才发起请求，159// 我们很容易就想到了setTimeout，如果timer存在，又触发了这个方法，就把timer清了继续等，知道方法不再触发，timer执行160161// 发起请求的函数162const sendRequest = () => {};163164// 防抖函数165const debounce = (fn, waitTime) => {166 let timer = null;167168 return function () {169 const self = this;170 const args = [].slice.apply(arguments);171 if (timer) {172 clearTimeout(timer);173 } else {174 timer = setTimeout(() => {175 fn.apply(self, args);176 }, waitTime);177 }178 }179}180181const debouncedSendRequest = debounce(sendRequest, 500);182183184//节流函数185// 节流函数和防抖函数很像，但是针对的需求不一样，比如onScorll方法可能会触发的很频繁，我们不能每次触发的时候都去调回调，会浪费大量性能，186// 我们可能需要每50ms调用一次，那就需要节流函数了：187const scrollHandler = () => {};188189const throttle = (fn, waitTime) => {190 let isRunnig = false;191 return (...args) => {192 if (!isRunnig) {193 isRunnig = true;194 setTimeout(() => {195 fn(...args);196 isRunnig = false;197 }, waitTime)198 }199 }200}201 ...

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clouser.js

Source:clouser.js Github

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...70 for (let i = 0; i < 10000; i++) { }71 return a + b;72}73let memoFun = memoized(fun);74memoFun(1, 2);75memoFun(1, 2);76memoFun(1, 3);77console.log("1st Call", logExecutionTime(memoFun, [1, 2]));78console.log("2nd call", logExecutionTime(memoFun, [1, 2]));79console.log("3rd call", logExecutionTime(memoFun, [1, 3]));80function logExecutionTime(fn, args) {81 const start = console.time('fn');82 const result = fn(...args);83 console.timeEnd('fn');84 return result;85}86function asyncFunction(a, b, callback) {87 const isError = Math.random() > 0.7;88 setTimeout(() => {89 if (isError) {90 callback(null, new Error("Something went wrong"));...

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script.js

Source:script.js Github

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1function generate_srings(n, l) {2 for (let i = 0; i < n; i++) {3 t = "";4 for (let j = 0; j < l; j++)5 t += String.fromCharCode(Math.floor(Math.random() * 95) + 32);6 console.log(t);7 }8}9function make_memo_fun(f) {10 return function memofun (...args) {11 if (typeof (memofun.memargs) == 'undefined') {12 memofun.memargs = new Map();13 }14 let res = false;15 memofun.memargs.forEach((value, key) => {16 if (JSON.stringify(args)==JSON.stringify(key)) res = value;17 });18 if (res) {19 console.log("Этот вызов уже мемоизирован ;)");20 return res;21 }22 res = f(...args);23 memofun.memargs.set(args, res);24 return res;25 };26}27function factorial(num) {28 if (num == 0) {29 return 1;30 } else {31 return num * factorial(num - 1);32 }33}34function fib(num) {35 if (num == 0) {36 return 0;37 } 38 else if (num == 1) {39 return 1;40 }41 else {42 return fib(num - 1) + fib(num - 2);43 }44}45function concat(word1, word2) {46 return word1 + word2;...

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Using AI Code Generation

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1import { memoFun } from 'fast-check';2const memoized = memoFun((a, b) => a + b);3import { memoFun } from 'fast-check/lib/check/arbitrary/MemoArbitrary';4const memoized = memoFun((a, b) => a + b);5import { memoFun } from 'fast-check';6import { memoize } from 'lodash';7const memoized = memoFun(memoize((a, b) => a + b));8import { memoFun } from 'fast-check';9import { memoize } from 'lodash';

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Using AI Code Generation

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1const { memoFun } = require('fast-check');2const myFun = (a, b) => a + b;3const myMemoizedFun = memoFun(myFun);4const { memoFun } = require('fast-check/lib/check/arbitrary/MemoArbitrary');5const myFun = (a, b) => a + b;6const myMemoizedFun = memoFun(myFun);

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Using AI Code Generation

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1const memoFun = require('fast-check/lib/check/arbitrary/memo/MemoArbitrary.js').memoFun;2const fc = require('fast-check');3const { isPositiveInteger } = require('./isPositiveInteger.js');4const isPositiveIntegerMemo = memoFun(isPositiveInteger);5fc.assert(6 fc.property(fc.integer(), fc.integer(), (a, b) => {7 return isPositiveIntegerMemo(a) === isPositiveIntegerMemo(a) && isPositiveIntegerMemo(b) === isPositiveIntegerMemo(b);8 })9);10function isPositiveInteger(value) {11 return typeof value === 'number' && Number.isInteger(value) && value > 0;12}13var http = require('http');14var url = require('url');15var server = http.createServer(function(req, res) {16 var url_parts = url.parse(req.url, true);17 var query = url_parts.query;18 var name = query.name;19 var age = query.age;20 res.writeHead(200, {'Content-Type': 'text/html'});21 res.write("<h1>Hello " + name + "!</h1>");22 res.write("<p>You are " + age + " years old.</p>");23 res.end();24});25server.listen(3000);

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