
Security News
Attackers Are Hunting High-Impact Node.js Maintainers in a Coordinated Social Engineering Campaign
Multiple high-impact npm maintainers confirm they have been targeted in the same social engineering campaign that compromised Axios.
js-red-package
Advanced tools
用 js 实现一个类似微信红包的随机算法
🚀 支持 JavaScript 浮点数运算
https://www.npmjs.com/package/js-red-package/
https://github.com/xgqfrms/js-red-package
$ yarn add js-red-package
# or
$ npm i js-red-package
// ESM,build/index.min.mjs (default)
import {autoRandomRedPackage} from "js-red-package";
// OR
// CMJ, build/index.min.js
const autoRandomRedPackage = require("js-red-package");
// const autoRandomRedPackage = require("js-red-package/build/index.min.js");
const total = arr => arr.result.reduce((acc, i) => acc += i*100, 0) / 100;
// 测试 test cases
const test = autoRandomRedPackage(0.1, 11);// ❌ 异常处理
const test0 = autoRandomRedPackage(0.1, 5);
const test1 = autoRandomRedPackage(0.1, 10); // ✅ ok
const test2 = autoRandomRedPackage(1, 10);
const test3 = autoRandomRedPackage(10, 10);
const test4 = autoRandomRedPackage(100, 10);
const test5 = autoRandomRedPackage(100, 11);
log(`\ntest =`, test);
log(`total =`, test && total(test));
log(`\ntest =`, test0);
log(`total =`, test0 && total(test0));
log(`\ntest =`, test1);
log(`total =`, test1 && total(test1));
log(`\ntest =`, test2);
log(`total =`, test2 && total(test2));
log(`\ntest =`, test3);
log(`total =`, test3 && total(test3));
log(`\ntest =`, test4);
log(`total =`, test4 && total(test4));
log(`\ntest =`, test5);
log(`total =`, test5 && total(test5));
/*
$ node test.js
(node:2259) ExperimentalWarning: The ESM module loader is experimental.
💩 请重新输入红包数量! 减少红包数量,或增加红包金额!
❌ 你输入的红包数量太多了,每个人至少要能分到 0.01 元!
test = false
total = false
test = {
total: 0.1,
result: [ 0.02, 0.01, 0.02, 0.03, 0.02 ],
desc: '\n' +
' 🕵️♂️ 你输入的红包总额是 0.1 元, 红包数量是 5 个!\n' +
' 👍 最大的红包是 0.03 元!\n' +
' 👎 最小的红包是 0.01 元!\n' +
' '
}
total = 0.1
test = {
total: 0.1,
result: [
0.01, 0.01, 0.01,
0.01, 0.01, 0.01,
0.01, 0.01, 0.01,
0.01
],
desc: '\n' +
' 🕵️♂️ 你输入的红包总额是 0.1 元, 红包数量是 10 个!\n' +
' 👍 最大的红包是 0.01 元!\n' +
' 👎 最小的红包是 0.01 元!\n' +
' '
}
total = 0.1
test = {
total: 1,
result: [
0.18, 0.08, 0.09,
0.12, 0.01, 0.18,
0.07, 0.08, 0.14,
0.05
],
desc: '\n' +
' 🕵️♂️ 你输入的红包总额是 1 元, 红包数量是 10 个!\n' +
' 👍 最大的红包是 0.18 元!\n' +
' 👎 最小的红包是 0.01 元!\n' +
' '
}
total = 1
test = {
total: 10,
result: [
0.76, 0.39, 1.88,
0.71, 0.33, 1.57,
0.55, 1.23, 1.72,
0.86
],
desc: '\n' +
' 🕵️♂️ 你输入的红包总额是 10 元, 红包数量是 10 个!\n' +
' 👍 最大的红包是 1.88 元!\n' +
' 👎 最小的红包是 0.33 元!\n' +
' '
}
total = 10
test = {
total: 100,
result: [
11.34, 13.3, 9.6,
3.29, 10.27, 12.1,
12.31, 5.17, 6.29,
16.33
],
desc: '\n' +
' 🕵️♂️ 你输入的红包总额是 100 元, 红包数量是 10 个!\n' +
' 👍 最大的红包是 16.33 元!\n' +
' 👎 最小的红包是 3.29 元!\n' +
' '
}
total = 100
test = {
total: 100,
result: [
10.43, 15.55, 9,
4.64, 7.74, 11.96,
12.9, 4.82, 14.19,
8.36, 0.41
],
desc: '\n' +
' 🕵️♂️ 你输入的红包总额是 100 元, 红包数量是 11 个!\n' +
' 👍 最大的红包是 15.55 元!\n' +
' 👎 最小的红包是 0.41 元!\n' +
' '
}
*/
FAQs
用 js 实现一个类似微信红包的随机算法
We found that js-red-package 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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