asjadanis

// List.js

import AddItem from "./AddItem";

const List = (props) => {
  const { items } = props;
  
  console.log("List rendered: ", props.listKey);

  return (

asjadanis

// AddItem.js

import { useState } from "react";

const AddItem = (props) => {
  const [item, setItem] = useState("");

  const onChange = (e) => {
    setItem(e.target.value);
  };

asjadanis

// App.js

import { useState } from "react";
import List from "./List";
import "./styles.css";

function App() {
  const [books, setBooks] = useState([]);
  const [courses, setCourses] = useState([]);

asjadanis

const items: (Item | undefined)[] // Wait whaaat

asjadanis

// Our type-guard
const isItem = (item: Item | undefined): item is Item => {
  return typeof item !== "undefined"
}

const items = itemIds.map(getItems).filter(isItem); //items: Item[]

asjadanis

const processItem = (item: Item) => {
  return {
    ...item,
    name: item.name.toUpperCase()
  }
}

const processedItems = items.map(item => {
   // Argument of type 'Item | undefined' is not assignable 
   // to parameter of type 'Item'

asjadanis

const items = itemIds.map(getItems).filter(item => !!item);

console.log(items) // No undefined values in items

asjadanis

interface Item {
  id: string;
  name: string;
  description: string;
}

const myItems: Array<Item> = [
  { id: "1", name: "item-1", description: "bla bla bla" },
  { id: "2", name: "item-2", description: "yada yada yada" },
  { id: "3", name: "item-3", description: "bla bla bla" },

asjadanis

name: Lint
on: [push]
jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      
      - name: Setup Node.js environment
        uses: actions/setup-node@v2.4.0

asjadanis

def request_handler(request):
    global model

    if model is None:
        download_model(bucket_name='YOUR_BUCKET_NAME', 
                       source_dir='MODEL_SOURCE_DIR', 
                       destination_folder = 'DESTINATION_TO_DOWNLOAD_MODEL', 
                       model_version='MODEL_VERSION')
        model = tf.keras.models.load_model('DESTINATION_FOLDER')