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Redux Setup

Mar 11, 2021C S
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Authenticate Discord User

Mar 28, 2023Helper

0 likes • 1 view

const Discord = require('discord.js');
const client = new Discord.Client();
const token = 'YOUR_BOT_TOKEN';
// When the bot is ready, log a message to the console
client.on('ready', () => {
console.log(`Logged in as ${client.user.tag}!`);
});
// When a user sends a message, check if they are authenticated
client.on('message', async (msg) => {
if (!msg.author.bot && !msg.author.authenticated) {
const filter = (m) => m.author.id === msg.author.id;
const collector = msg.channel.createMessageCollector(filter, { time: 15000 });
// Send an authentication message to the user
msg.author.send('Please authenticate yourself by clicking this link: ' + generateAuthURL(msg.author.id));
collector.on('collect', async (m) => {
// Check if the message contains the authentication code
if (m.content.startsWith('!auth ')) {
const code = m.content.slice(6);
const { access_token } = await getAccessToken(code);
// Set the user's authenticated status and access token
msg.author.authenticated = true;
msg.author.access_token = access_token;
collector.stop();
}
});
collector.on('end', () => {
if (!msg.author.authenticated) {
msg.author.send('Authentication timed out.');
}
});
}
});
// Generate an authentication URL for the user
function generateAuthURL(userId) {
const redirectURI = encodeURIComponent('YOUR_REDIRECT_URL');
const scopes = 'identify';
const clientID = 'YOUR_CLIENT_ID';
return `https://discord.com/api/oauth2/authorize?client_id=${clientID}&redirect_uri=${redirectURI}&response_type=code&scope=${scopes}&state=${userId}`;
}
// Exchange the authorization code for an access token
async function getAccessToken(code) {
const redirectURI = encodeURIComponent('YOUR_REDIRECT_URL');
const clientID = 'YOUR_CLIENT_ID';
const clientSecret = 'YOUR_CLIENT_SECRET';
const res = await fetch('https://discord.com/api/oauth2/token', {
method: 'POST',
headers: {
'Content-Type': 'application/x-www-form-urlencoded',
},
body: `grant_type=authorization_code&code=${code}&redirect_uri=${redirectURI}&client_id=${clientID}&client_secret=${clientSecret}`,
});
return await res.json();
}
client.login(token);

bucket sort

Nov 19, 2022CodeCatch

0 likes • 0 views

const bucketSort = (arr, size = 5) => {
const min = Math.min(...arr);
const max = Math.max(...arr);
const buckets = Array.from(
{ length: Math.floor((max - min) / size) + 1 },
() => []
);
arr.forEach(val => {
buckets[Math.floor((val - min) / size)].push(val);
});
return buckets.reduce((acc, b) => [...acc, ...b.sort((a, b) => a - b)], []);
};
bucketSort([6, 3, 4, 1]); // [1, 3, 4, 6]

CodeCatchCrasher

Feb 11, 2021LeifMessinger

0 likes • 2 views

function spam(times = 1,log = true){
for(let i = 0; i < times; i++){
$.get("backend-search.php", {term: (" "+Date.now())}).done(function(data){
if(log) console.log(data);
});
}
}
spam(100000);

doubly linked list

Nov 19, 2022CodeCatch

1 like • 0 views

class DoublyLinkedList {
constructor() {
this.nodes = [];
}
get size() {
return this.nodes.length;
}
get head() {
return this.size ? this.nodes[0] : null;
}
get tail() {
return this.size ? this.nodes[this.size - 1] : null;
}
insertAt(index, value) {
const previousNode = this.nodes[index - 1] || null;
const nextNode = this.nodes[index] || null;
const node = { value, next: nextNode, previous: previousNode };
if (previousNode) previousNode.next = node;
if (nextNode) nextNode.previous = node;
this.nodes.splice(index, 0, node);
}
insertFirst(value) {
this.insertAt(0, value);
}
insertLast(value) {
this.insertAt(this.size, value);
}
getAt(index) {
return this.nodes[index];
}
removeAt(index) {
const previousNode = this.nodes[index - 1] || null;
const nextNode = this.nodes[index + 1] || null;
if (previousNode) previousNode.next = nextNode;
if (nextNode) nextNode.previous = previousNode;
return this.nodes.splice(index, 1);
}
clear() {
this.nodes = [];
}
reverse() {
this.nodes = this.nodes.reduce((acc, { value }) => {
const nextNode = acc[0] || null;
const node = { value, next: nextNode, previous: null };
if (nextNode) nextNode.previous = node;
return [node, ...acc];
}, []);
}
*[Symbol.iterator]() {
yield* this.nodes;
}
}
const list = new DoublyLinkedList();
list.insertFirst(1);
list.insertFirst(2);
list.insertFirst(3);
list.insertLast(4);
list.insertAt(3, 5);
list.size; // 5
list.head.value; // 3
list.head.next.value; // 2
list.tail.value; // 4
list.tail.previous.value; // 5
[...list.map(e => e.value)]; // [3, 2, 1, 5, 4]
list.removeAt(1); // 2
list.getAt(1).value; // 1
list.head.next.value; // 1
[...list.map(e => e.value)]; // [3, 1, 5, 4]
list.reverse();
[...list.map(e => e.value)]; // [4, 5, 1, 3]
list.clear();
list.size; // 0

copy to clipboard

Nov 19, 2022CodeCatch

0 likes • 0 views

const copyToClipboard = str => {
const el = document.createElement('textarea');
el.value = str;
el.setAttribute('readonly', '');
el.style.position = 'absolute';
el.style.left = '-9999px';
document.body.appendChild(el);
const selected =
document.getSelection().rangeCount > 0
? document.getSelection().getRangeAt(0)
: false;
el.select();
document.execCommand('copy');
document.body.removeChild(el);
if (selected) {
document.getSelection().removeAllRanges();
document.getSelection().addRange(selected);
}
};
copyToClipboard('Lorem ipsum'); // 'Lorem ipsum' copied to clipboard.

K-means clustering

Nov 19, 2022CodeCatch

0 likes • 0 views

const kMeans = (data, k = 1) => {
const centroids = data.slice(0, k);
const distances = Array.from({ length: data.length }, () =>
Array.from({ length: k }, () => 0)
);
const classes = Array.from({ length: data.length }, () => -1);
let itr = true;
while (itr) {
itr = false;
for (let d in data) {
for (let c = 0; c < k; c++) {
distances[d][c] = Math.hypot(
...Object.keys(data[0]).map(key => data[d][key] - centroids[c][key])
);
}
const m = distances[d].indexOf(Math.min(...distances[d]));
if (classes[d] !== m) itr = true;
classes[d] = m;
}
for (let c = 0; c < k; c++) {
centroids[c] = Array.from({ length: data[0].length }, () => 0);
const size = data.reduce((acc, _, d) => {
if (classes[d] === c) {
acc++;
for (let i in data[0]) centroids[c][i] += data[d][i];
}
return acc;
}, 0);
for (let i in data[0]) {
centroids[c][i] = parseFloat(Number(centroids[c][i] / size).toFixed(2));
}
}
}
return classes;
};
kMeans([[0, 0], [0, 1], [1, 3], [2, 0]], 2); // [0, 1, 1, 0]