BitMatrix 以
ArrayBuffer为基础, 以bit为单元的矩阵类实现;
特性:
base64 导入导出, 打通存储问题;适用场景:
任何需要存储点阵信息的场景;
类说明:
除了
ArrayBuffer做存储的矩阵, 还提供AnyMatrix,AnyMatrixUseObject两个类;
这两个类主要用于做为参照物; 也可以做为可以存储任意值的矩阵来使用; API相同
| class | base DataView | value range |
|---|---|---|
| BitMatrix | 0 / 1 | |
| Int8Matrix | Int8Array | Int8 |
| Uint8Matrix | Uint8Array | Uint8 |
| Uint8ClampedMatrix | Uint8ClampedArray | Uint8 |
| Int16Matrix | Int16Array | Int16 |
| Uint16Matrix | Uint16Array | Uint16 |
| Int32Matrix | Int32Array | Int32 |
| Uint32Matrix | Uint32Array | Uint32 |
| Float32Matrix | Float32Array | Float32 |
| Float64Matrix | Float64Array | Float64 |
| AnyMatrix | Array | any |
| AnyMatrixUseObject | Object | any |
npm i bitmatrix
nodejs
const BitMatrix = require('bitmatrix').BitMatrix;
//使用其它的矩阵类
//const {BitMatrix, Uint8Matrix, AnyMatrix} = require('bitmatrix');
let bm = new BitMatrix(2,2,0); //初始化一个以 0 填充的 2*2 矩阵
console.log(bm.showView());
ES2015
// 默认导出 BitMatrix 类
import BitMatrix from 'bitmatrix';
//使用其它的矩阵类
//import {BitMatrix, Uint8Matrix, AnyMatrix} from 'bitmatrix'
console.log(bm.showView());
浏览器
浏览器使用时可选择 己打包依赖的文件 ./dist/BitMatrix.umd.js
<script src="//unpkg.com/@cnwhy/base64/dist/BitMatrix.umd.js"></script>
API 可能还会有变化, 欢迎提意见.
class Matrix {
constructor(width: number, height: number, defaultValue?: any);
//宽(只读)
width: number;
//高(只读)
height: number;
//单元格总数(只读)
total: number;
// 填充矩阵
fill(value: any);
// 填充一行
fillRow(row: number, value: any);
// 填充一列
fillColumn(column: number, value: any);
// 读取指定单元格
get(x: number, y: number): any;
// 设置指定单元格
set(x: number, y: number, value: any);
// 读取一行 返回 Array
getRow(y: number): any[];
// 设置一行 返回 Array
setRow(y: number, row:any[]);
// 读取一列 返回 Array
getColumn(x: number): any[];
// 设置一列 返回 Array
setColumn(x: number, column: any[]);
// 暴露矩阵原型数据对像, 如果你不清楚是什么, 请勿使用
getPrototypeData():Object;
// 遍历矩阵
cellForEach(fn: (value: any, x: number, y: number) => void);
// 以','分隔列, '\n'分隔行, 返回当前矩阵数据
showView(): string;
// 创建一个副本
clone(): Matrix;
// 用现有数据创建矩阵
static from(arr:[][]): Matrix;
static from(arr:[],width:number): Matrix;
// 用现有矩阵对像 创建一个此类型的矩阵对象 注意区别clone(); from可以创建不能类型的矩阵
static from(matrix:Matrix,callback:(value: any, x: number, y: number)=>any,thisArg): Matrix;
// 通过base64导出矩阵,便于存储
static output(matrix:Matrix): string;
// 通过导入base64,创建矩阵
static input(base64:string): Matrix;
}
推荐使用矩阵对像的 clone() 方法;
为获取最大兼容,选用
base64为媒介进行导入(input()), 导出(output());
导入/导出的数据结构:
前9个字节为描述字节, 后面为数据;
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | ||
| Uint32LE(width) | Uint32LE(height) | Uint8(typeMark) | ...(data) |
import BitMatrix from 'bitmatrix';
let bm = new BitMatrix(7,7,0);
bm.fillColumn(3,1);
bm.fillRow(3,1);
let b64 = BitMatrix.output(bm);
console.log(b64);
let bm1 = BitMatrix.input(b64);
console.log(bm1.showView())
/*
AAAABwAAAAcDCATij0AgAA==
0,0,0,1,0,0,0
0,0,0,1,0,0,0
0,0,0,1,0,0,0
1,1,1,1,1,1,1
0,0,0,1,0,0,0
0,0,0,1,0,0,0
0,0,0,1,0,0,0
*/
基于
BufferArray只能运行于支持ES2015的环境;
node v10.13.0从以下的表格看, 是符合预期的.
生成 2000 个 100*100 矩阵, 并用 1 填充, 内存及耗时占用情况:
┌─────────┬──────────────────────┬────────────┬────────────┬──────────────────────┬───────────────────┐
│ (index) │ className │ heapUsed │ external │ sum │ time │
├─────────┼──────────────────────┼────────────┼────────────┼──────────────────────┼───────────────────┤
│ 0 │ 'BitMatrix' │ '0.77MB' │ '2.38MB' │ '3.16MB | 1.91%' │ '7 | 1.46%' │
│ 1 │ 'Int8Matrix' │ '0.87MB' │ '19.07MB' │ '19.94MB | 12.07%' │ '16 | 3.33%' │
│ 2 │ 'Uint8Matrix' │ '0.82MB' │ '19.07MB' │ '19.90MB | 12.04%' │ '14 | 2.92%' │
│ 3 │ 'Uint8ClampedMatrix' │ '0.82MB' │ '19.07MB' │ '19.89MB | 12.04%' │ '15 | 3.13%' │
│ 4 │ 'Int16Matrix' │ '0.80MB' │ '38.15MB' │ '38.95MB | 23.57%' │ '17 | 3.54%' │
│ 5 │ 'Uint16Matrix' │ '0.68MB' │ '38.15MB' │ '38.83MB | 23.50%' │ '19 | 3.96%' │
│ 6 │ 'Int32Matrix' │ '0.53MB' │ '76.29MB' │ '76.82MB | 46.49%' │ '147 | 30.63%' │
│ 7 │ 'Uint32Matrix' │ '0.53MB' │ '76.29MB' │ '76.82MB | 46.49%' │ '139 | 28.96%' │
│ 8 │ 'Float32Matrix' │ '0.53MB' │ '76.29MB' │ '76.82MB | 46.49%' │ '140 | 29.17%' │
│ 9 │ 'Float64Matrix' │ '0.49MB' │ '152.59MB' │ '153.08MB | 92.64%' │ '286 | 59.58%' │
│ 10 │ 'AnyMatrix' │ '153.61MB' │ '0.00MB' │ '153.61MB | 92.96%' │ '2445 | 509.38%' │
│ 11 │ 'AnyMatrixUseObject' │ '153.75MB' │ '0.00MB' │ '153.75MB | 93.05%' │ '6056 | 1261.67%' │
│ 12 │ 'number[]' │ '153.13MB' │ '0.00MB' │ '153.13MB | 92.67%' │ '2808 | 585.00%' │
│ 13 │ 'number[][]' │ '165.24MB' │ '0.00MB' │ '165.24MB | 100.00%' │ '480 | 100.00%' │
└─────────┴──────────────────────┴────────────┴────────────┴──────────────────────┴───────────────────┘
可执行
npm run test-memory命令测试, 获取本结果;
node v10.13.0操作同为 1000*1000 矩阵, 基础方法的QPS比较:
┌─────────┬─────────────────┬───────────┬─────────────┬─────────────┬─────────────┐
│ (index) │ name │ fill │ get │ set │ cellForEach │
├─────────┼─────────────────┼───────────┼─────────────┼─────────────┼─────────────┤
│ 0 │ 'BitMatrix' │ '210.31K' │ '8194.21K' │ '6275.51K' │ '700.17' │
│ 1 │ 'Uint8Matrix' │ '25.63K' │ '10969.26K' │ '9658.56K' │ '991.44' │
│ 2 │ 'Uint32Matrix' │ '2.66K' │ '11844.04K' │ '10304.60K' │ '992.45' │
│ 3 │ 'Float64Matrix' │ '1.19K' │ '11845.38K' │ '10639.79K' │ '988.99' │
│ 4 │ 'AnyMatrix' │ '1.23K' │ '11453.06K' │ '10560.18K' │ '987.83' │
│ 5 │ 'number[]' │ '1.15K' │ '15009.22K' │ '14345.48K' │ '960.72' │
│ 6 │ 'number[][]' │ '752.19' │ '12196.47K' │ '11029.79K' │ '1.48K' │
└─────────┴─────────────────┴───────────┴─────────────┴─────────────┴─────────────┘
get与set测试都使用了9个点, 所以真实值应该再乘上9;
可执行npm run test-benchmark命令, 获取本结果;
FAQs
Low-cost dot matrix Class
We found that bitmatrix demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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