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const web3 = new Web3(context.library.provider);

const thingToSave = {
  message: 'Hello world',
  owner: address,
};

const hashedData = web3.eth.accounts.hashMessage(
  JSON.stringify(thingToSave)
);

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name: Default Service - PRO

on:
  push:
    tags:
      - v*

jobs:
  deploy:
    runs-on: ubuntu-latest

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// This is the start of the flow, the CLIENT app redirects to this page
app.get('/api/auth/webex', (req, res) => {
  // The webex_client_id is an environment variable extracted from the Create integration https://developer.webex.com/docs/integrations
  // The scopes and redirect uri are also defined when creating the integration
  // Remind to put there your domain url ex: myapp.com or localhost for development
  // You will need to change also all the scopes query parameters of this url (you will get them from the "create integration process")
  const authUrl = `https://webexapis.com/v1/authorize?client_id=${process.env.WEBEX_CLIENT_ID}&response_type=code&redirect_uri=${encodeURIComponent(process.env.BASE_URL)}%2Fapi%2Fauth%2Fwebex%2Fcallback&scope=meeting%3Arecordings_read%20spark%3Aall%20spark%3Akms%20meeting%3Aschedules_read%20meeting%3Apreferences_write%20meeting%3Arecordings_write%20meeting%3Apreferences_read%20meeting%3Aschedules_write&state=set_state_here`
    // We do a redirect to the webex oauth U

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const canvas = document.getElementById('canvas');
const context = canvas.getContext('2d');

let before = Date.now()
let dt = 0

const totalFigures = 50

const figures = []

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function update(dt) {
  const speed = 100 // We can have a different speed per square if we want
  
  figures.forEach(figure => {
    figure.x = figure.x + (dt * speed ) > canvas.width ? 0 : figure.x + (dt * speed)
  })
}

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function loop() {
  const now = Date.now()
  dt = (now - before) / 1000
  
  // update(dt)
  render()
  
  before = now
  
  window.requestAnimationFrame(loop)

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const canvas = document.getElementById('canvas');
const context = canvas.getContext('2d');

const totalFigures = 50

const figures = []

function drawSquare(x, y, size, angleOfRotation) {
  // Store the painting state in a stack
  context.save()

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const canvas = document.getElementById('canvas');
const context = canvas.getContext('2d');

function drawSquare(x, y, size, angleOfRotation) {
  // Translate in the context the origin of coordinates
  context.translate(x, y);

  // Rotate the context 
  const radians = Utils.degreeToRadian(angleOfRotation)
  context.rotate(radians);

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import Network from '../network'

// Training data for a xor gate
const trainingData = [{
  input : [0,0],
  output: [0]
}, {
  input : [0,1],
  output: [1]
}, {

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import sigmoid from './sigmoid'
import Connection from './connection'
import Layer from './layer'

class Network {
  constructor(numberOfLayers) {
    // Create a network with a number of layers. For layers different than the input layer we add a random Bias to each neuron
    this.layers = numberOfLayers.map((length, index) => {
      const layer = new Layer(length) 
      if (index !== 0 ) {