| import fileSend from './fileSend'; | |
| describe('FileSend', () => { | |
| describe('createHashFromFilePath', () => { | |
| it('should return a hash with 64 chars', async () => { | |
| const myFilePath = 'fileSend.ts'; | |
| const myHash = fileSend.createHashFromFilePath(myFilePath); | |
| expect(myHash.length).toBe(64); | |
| }); | |
| }); |
| const data = [ | |
| { | |
| name: 'A', | |
| description: 'This is a description of A', | |
| parentId: '', | |
| }, | |
| { | |
| name: 'B', | |
| description: 'This is a description of B', | |
| parent: 'A', |
| const TAB_SELECTOR = '.js-profile-tab'; | |
| const ACTIVE_CLASS = 'is-active'; | |
| <body> | |
| <div js-hook-profile-tab> | |
| <div className="js-profile-tab" /> | |
| </div> | |
| <div js-hook-profile-tab> | |
| <div className="js-profile-tab" /> | |
| </div> |
| { | |
| "data": [ | |
| { | |
| "name": "A", | |
| "description": "This is a description of A", | |
| "parentId": "" | |
| }, | |
| { | |
| "name": "B", | |
| "description": "This is a description of B", |
| import express from 'express'; | |
| import validate from 'express-validation'; | |
| import kurumDegisikligiValidation from '../kurumDegisikligi/kurumDegisikligi.validation'; | |
| import KurumDegisikligiService from '../../services/kurumDegisikligi/kurumDegisikligi.service'; | |
| const router = express.Router(); // eslint-disable-line new-cap | |
| router.route('/') | |
| /** GET /api/kurumDegisikligi - Get list of kurumlar */ | |
| .get(KurumDegisikligiService.list) |
| /** | |
| * | |
| * @param _dataList | |
| * @param nodeOptions | |
| * @returns {Array} | |
| */ | |
| function getNodes(_dataList, nodeOptions) { | |
| var resultData = []; | |
| for (var k = 0; k < _dataList.length; k++) { |
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
Example of GeoJSON features.
A Pen by Hürkan AKBIYIK on CodePen.
