一、while遍历 constarr1=[1,2,3,[4,5,[7,8]]];constflatten=function(arr){while(arr.some((v)=>Array.isArray(v))){arr=[].concat(...arr);}returnarr;};console.log(flatten(arr1)); 二、map方法 constarr2=[1,2,3,[4,5,[7,8]]];constflatten2=function(arr){return[].concat(.....
1_.flatten =function(array, shallow) {2return_.reduce(array,function(memo, value) {3if(_.isArray(value))returnmemo.concat(shallow ?value : _.flatten(value));4memo[memo.length] =value;5returnmemo;6},
varnew_array = arr.flatMap(functioncallback(currentValue[, index[, array]]) {// return element for new_array}[, thisArg]) flat https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array/flat varnewArray = arr.flat([depth]);// depth defaults 1// The depth ...
方法六:利用 ES 的最新语法,Array.prototype.flat(),缺点是有兼容性问题,优点是非常简单 flat()方法会递归到指定深度将所有子数组连接,并返回一个新数组。 语法:`let newArray = arr.flat(depth)`,参数说明:depth,可选,指定嵌套数组中的结构深度,默认值为1constarr=[1,[2,[3,[4,5]]];constflatten=(ar...
A flatMap can be used to flatten an array of arrays as well. #Returns 1, 2, 3, 4basho [[1,2],[2,3]] -m x Btw, you could also access an array index in the template literal as the variable ‘i’ in lambdas and shell command templates. ...
Array of shapes as json objects that represent closed chains Array of points (Flatten.Point) that represent vertices of the polygon Array of numeric pairs [x,y] that represent vertices of the polygon Instances of Circle or Box Polygon provides various useful methods: ...
wherevectorswas a 2d matrix of which the columns contained the vectors. This is changed toeigsreturning an object: {values: MathCollection eigenvectors: Array<{ value: number | BigNumber vector: MathCollection }> } Whereeigenvectorsis an array containing an object with the corresponding eigenvalue...
es6.array.join.js), [`es6.array.index-of`](https://github.com/zloirock/core-js/blob/v2.6.0/modules/es6.array.index-of.js), [`es6.array.last-index-of`](https://github.com/zloirock/core-js/blob/v2.6.0/modules/es6.array.last-index-of.js), [`es6.array.every`](https://...
Fixed Object.groupBy and Map.groupBy to work for non-objects Fixed throwing a RangeError if Set methods are called on an object with negative size property Fixed Set.prototype.symmetricDifference to call this.has in each iteration Fixed Array.fromAsync to not call the Array constructor twice Adde...
该项目是在浏览器端 使用 TensorFlow.js 构建一个卷积神经网络(CNN)模型,使用 MNIST 数据集进行训练,用于识别 在浏览器端手写输入的数字。MNIST数据集是一个手写数字识别任务的常用数据集,本次训练任务所用图片包含65,000张图像,每张图像都是28x28像素的灰度图。