italojs

const { MongoClient } = require('mongodb');

class MongoDBClient {
    constructor(uri, dbName) {
        this.uri = uri;
        this.dbName = dbName;
        this.client = new MongoClient(uri, { useNewUrlParser: true, useUnifiedTopology: true });
    }

    async connect() {

italojs

const fastify = require('fastify')({ logger: true });
const MongoDBClient = require('./MongoDBClient'); 

const uri = process.env.DB_URI;
const dbName = 'bancoDeDadosDaAPI';
const dbClient = new MongoDBClient(uri, dbName);

async function setupRoutes() {
  // Pré-cadastro de clientes
  await dbClient.insertClientes([

italojs

const { 
    Worker, 
    isMainThread, 
    parentPort, 
    workerData } = require('worker_threads');
const { performance } = require('perf_hooks');

// Função para encontrar números primos em um intervalo
const findPrimes = (start, end) => {
    const primes = [];

italojs

const { performance } = require('perf_hooks');

// Generate a list of products
const productArray = Array.from({ length: 1000000 }, (_, i) => ({
  id: i,
  name: `product${i}`,
  price: i * 0.5
}));

// Convert the product list to a Map for faster lookups

italojs

const { entity, field } = require('@herbsjs/herbs')

const required =  { validation: { presence: true } }
const requiredString = {
    validation: {
        ...required.validation,
        length: { minimum: 3, maximum: 255 },
    }
}

italojs

const { entity, field } = require('@herbsjs/herbs')

const required =  { validation: { presence: true } }

module.exports = entity('Sale', {
    id: field(Number, {
        // Optional option
        validation: {
            presence: true,
            numericality: {

italojs

const { entity, field } = require('@herbsjs/herbs')

const requiredString = {
    validation: {
        presence: true,
        length: { minimum: 3, maximum: 255 },
    }
}

const Customer = entity('Customer', {

italojs

checkpoint = ModelCheckpoint("best_model.hdf5", monitor='loss', verbose=1,
    save_best_only=True, mode='auto', period=1)

model.fit(x_train, y_train,
          batch_size=batch_size,
          epochs=epochs,
          verbose=1,
          validation_data=(x_test, y_test),
          callbacks=[checkpoint])

italojs

checkpoint = ModelCheckpoint("best_model.hdf5", monitor='loss', verbose=1,
    save_best_only=True, mode='auto', period=1)

model.fit(x_train, y_train,
          batch_size=batch_size,
          epochs=epochs,
          verbose=1,
          validation_data=(x_test, y_test),
          callbacks=[checkpoint])

italojs

# [...]
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K

from keras.callbacks import ModelCheckpoint