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const mongoose = require('mongoose')const UserSchema = new mongoose.Schema({username: {type: String,required: true},email: {type: String,unique: true,required: true},password: {type: String,required: true},date: {type: Date,default: Date.now}})module.exports = User = mongoose.model('user', UserSchema)
import { configureStore } from "@reduxjs/toolkit";import { combineReducers } from "redux";import profile from "./profile";import auth from "./auth";import alert from "./alert";const reducer = combineReducers({profile,auth,alert,});const store = configureStore({ reducer });export default store;
function printHeap(heap, index, level) {if (index >= heap.length) {return;}console.log(" ".repeat(level) + heap[index]);printHeap(heap, 2 * index + 1, level + 1);printHeap(heap, 2 * index + 2, level + 1);}//You can call this function by passing in the heap array and the index of the root node, which is typically 0, and level = 0.let heap = [3, 8, 7, 15, 17, 30, 35, 2, 4, 5, 9];printHeap(heap,0,0)
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]
var arr = [{"success": true,"data": [{"id": "ipi_1KrrbvDOiB2klwsKhuqUWqt1","object": "issuing.transaction","amount": -2743,"amount_details": {"atm_fee": null},"authorization": "iauth_1KrrbuDOiB2klwsKoFjQZhhd","balance_transaction": "txn_1KrrbwDOiB2klwsK1YkjJJRi","card": "ic_1Krqe5DOiB2klwsK44a35eiE","cardholder": "ich_1KrqL8DOiB2klwsKtBnZhzYr","created": 1650753567,"currency": "usd","dispute": null,"livemode": false,"merchant_amount": -2743,"merchant_currency": "usd","merchant_data": {"category": "advertising_services","category_code": "7311","city": "San Francisco","country": "US","name": "Aeros Marketing, LLC","network_id": "1234567890","postal_code": "94103","state": "CA"},"metadata": {},"type": "capture","wallet": null},{"id": "ipi_1Krrbvc62B2klwsKhuqUWqt1","object": "issuing.transaction","amount": -9999,"amount_details": {"atm_fee": null},"authorization": "iauth_1KrrbuDOiB2klwsKoFjQZhhd","balance_transaction": "txn_1KrrbwDOiB2klwsK1YkjJJRi","card": "ic_1Krqe5DOiB2klwsK44a35eiE","cardholder": "ich_1KrqL8DOiB2klwsKtBnZhzYr","created": 1650753567,"currency": "USD","dispute": null,"livemode": false,"merchant_amount": -9999,"merchant_currency": "usd","merchant_data": {"category": "fast_food","category_code": "7311","city": "San Francisco","country": "US","name": "Aeros Marketing, LLC","network_id": "1234567890","postal_code": "94103","state": "CA"},"metadata": {},"type": "capture","wallet": null}]}];const reduced = arr.reduce((prev, curr) => {prev.push({amount: curr.data[0].merchant_amount,id: curr.data[0].id,currency: curr.data[0].currency,category: curr.data[0].merchant_data.category});console.log(prev)return prev;}, []);
const permutations = arr => {if (arr.length <= 2) return arr.length === 2 ? [arr, [arr[1], arr[0]]] : arr;return arr.reduce((acc, item, i) =>acc.concat(permutations([...arr.slice(0, i), ...arr.slice(i + 1)]).map(val => [item,...val,])),[]);};permutations([1, 33, 5]);// [ [1, 33, 5], [1, 5, 33], [33, 1, 5], [33, 5, 1], [5, 1, 33], [5, 33, 1] ]