Сергей Соколов

const zip = (arr1, arr2) => arr1.reduce(
  (acc, head, i) => (acc.push({ ...arr2[i], head }), acc),
  []
);

zip(mass1, mass2) 
/* [
  { t1: "aa", p1: "lot", head: "zn1" },
  { t1: "ab", p1: "kot", head: "zn2" },
  { t1: "ac", p1: "mot", head: "zn3" },
] */

window.isLoaded = false;
window.addEventListener('load', () => {
  window.isLoaded = true;
});

window.isQueued = false; // уже ждём в очереди?
function nowOrLater() {
  if (!window.isLoaded) {
    if (!window.isQueued) {
      window.addEventListener('load', nowOrLater);
      window.isQueued = true;
    }
    return;
  }
 
  // тут код котовый выполнить только после 
}

- if (walk.length > 10 || walk.length < 10) return false;
+ if (walk.length !== 10) return false;

const isValidWalk = walk => {
  if (walk.length !== 10) return false;
  const counts = walk.reduce((acc, c) => (acc[c]++, acc), { w: 0, n: 0, e: 0, s: 0 });
  return counts.e === counts.w && counts.n === counts.s;
};

const randomArr = () => {
  // ...

  return arr;
};

const randomArr = () => Array.from({length: 10}, () => (Math.random() * 10) | 0);
// [ 0, 3, 2, 4, 2, 1, 1, 5, 2, 5 ]

const randomArr = () => {
  const arr = Array.from({length: 10}, (_, i) => i + 1); // [1, 2, .. 10]
  for (let i = 0; i < 10; i++) {
    const j = i + Math.floor(Math.random() * (10 - i));
    [arr[i], arr[j]] = [arr[j], arr[i]]; // местами поменять
  }
  return arr;
}
// [ 6, 7, 9, 3, 1, 8, 10, 2, 4, 5 ]

- let input = document.getElementsByClassName('form-control');
+ const input = document.querySelector('input.form-control');

letterElement.startsWith('A')

'Andrew'.startsWith('A') // true
'Dmitriy'.startsWith('A') // false

const arrBig = [
  { _id: 1, one: 7, two: 5 },
  { _id: 2, one: 6, two: 3 },
  { _id: 3, one: 4, two: 7 },
  { _id: 4, one: 15, two: 2 },
];

const arrSmall = [{ _id: 1, next: 22, gen: 54 }, { _id: 3, next: 6, gen: 3 }];

const key = '_id';
const dictSmall = arrSmall.reduce((acc, c) => {
  acc[c[key]] = c;
  return acc;
}, {});

const template = { next: 0, gen: 0 };
const addKeys = Object.keys(template);

const result = arrBig.map(item => {
  const nuItem = { ...item, ...template };
  const addendum = dictSmall[item[key]];
  if (addendum) {
    addKeys.forEach(key => (nuItem[key] = addendum[key]));
  }
  return nuItem;
});
/* [
  {"_id":1,"one":7,"two":5,"next":22,"gen":54},
  {"_id":2,"one":6,"two":3,"next":0,"gen":0},
  {"_id":3,"one":4,"two":7,"next":6,"gen":3},
  {"_id":4,"one":15,"two":2,"next":0,"gen":0}
] */

const N = 3;

const delay = ms => new Promise(res => setTimeout(res, ms));

const next = () => {
  if (items.length > 0) {
    return download(items.shift())
      .then(delay(500 + Math.floor(Math.random() * 500))) // случайная пауза между закачками
      .then(next);
  }
};

const works = Array.from({ length: N }, () =>
  Promise.resolve()
    .then(next)
    .catch(console.error)
);

Promise.all(works).then(() => console.log('All Done'));

document.querySelector('li.item > input')
  .removeAttribute("checked");

document.querySelectorAll('li')
  .forEach(li => li.classList.toggle('hidden', !li.querySelector('span')));

const tensor = tf.squeeze(result);

const canvas = document.createElement('canvas');
canvas.width = tensor.shape.width
canvas.height = tensor.shape.height
await tf.browser.toPixels(tensor, canvas);

const cat2 = document.createElement('img');
cat2.src = canvas.toDataURL();