| import { app, BrowserWindow, nativeTheme, Menu, Tray, nativeImage } from 'electron' | |
| const path = require('path') | |
| let tray = null | |
| try { | |
| if (process.platform === 'win32' && nativeTheme.shouldUseDarkColors === true) { | |
| require('fs').unlinkSync(require('path').join(app.getPath('userData'), 'DevTools Extensions')) | |
| } | |
| } catch (_) { } |
| {"status": | |
| {"cvc": "incomplete", "expiry": "incomplete", "number": "incomplete"}, | |
| "valid": false, | |
| "values": | |
| {"cvc": "", "expiry": "", "number": "5234", "type": "master-card"} | |
| } |
This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.
The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.
| function deg2rad(deg) { | |
| return deg * (Math.PI / 180); | |
| } | |
| module.exports = function getDistanceFromLatLonInKm( | |
| centerCoordinates, | |
| pointCoordinates | |
| ) { | |
| const radius = 6371; |
| #!/usr/bin/make | |
| include .env | |
| export | |
| .PHONY: help | |
| .DEFAULT_GOAL := help | |
| help: ## Display this help | |
| @awk 'BEGIN {FS = ":.*##"; printf "\nUsage:\n make \033[36m<target>\033[0m\n"} /^[a-zA-Z_-]+:.*?##/ { printf " \033[36m%-15s\033[0m %s\n", $$1, $$2 } /^##@/ { printf "\n\033[1m%s\033[0m\n", substr($$0, 5) } ' $(MAKEFILE_LIST) |
| const request = require('request'), | |
| fs = require('fs'), | |
| path = require('path'), | |
| pathRead = 'http://www.inmetro.gov.br/da/registro/LAMPADAS_LED_COM_DISPOSITIVO_INTEGRADO_A_BASE.csv', | |
| pathWrite = 'LAMPADAS_LED_COM_DISPOSITIVO_INTEGRADO_A_BASE.csv' | |
| const downloadCsv = async (pathRead, pathWrite) => { | |
| await request(pathRead).on('end', (err, data) => { | |
| console.log('=> Download concluído') |
| #!/bin/bash | |
| if [ `git rev-parse --abbrev-ref HEAD` == "master" ]; then | |
| sh build-frontend.sh | |
| elif [ `git rev-parse --abbrev-ref HEAD` == "homologacao" ]; then | |
| sh makeFrontend.sh | |
| fi |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Title</title> | |
| </head> | |
| <body> | |
| <button id="camera">camera</button> | |
| <button id="screenshot">screenshot</button> | |
| <input type="file" id="file"> |
| // set-up a connection between the client and the server | |
| var socket = io.connect(); | |
| // let's assume that the client page, once rendered, knows what room it wants to join | |
| var room = "abc123"; | |
| socket.on('connect', function() { | |
| // Connected, let's sign-up for to receive messages for this room | |
| socket.emit('room', room); | |
| }); |
