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Generators #224

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tarasyyyk merged 1 commit into javascript-tutorial:master from Nordtonito:master

Dec 1, 2021

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Generators #224

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Nordtonito Dec 1, 2021

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4 changes: 2 additions & 2 deletions 4 1-js/12-generators-iterators/1-generators/01-pseudo-random-generator/solution.md

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Original file line number	Diff line number	Diff line change
Expand Up		@@ -16,7 +16,7 @@ alert(generator.next().value); // 282475249
		alert(generator.next().value); // 1622650073
		```

		Please note, the same can be done with a regular function, like this:
		Зверніть увагу, те ж саме можна зробити зі звичайною функцією, наприклад:

		```js run
		function pseudoRandom(seed) {
Expand All		@@ -35,4 +35,4 @@ alert(generator()); // 282475249
		alert(generator()); // 1622650073
		```

		That also works. But then we lose ability to iterate with `for..of` and to use generator composition, that may be useful elsewhere.
		Це також працює. Але тоді ми втрачаємо можливість перебору за допомогою `for..of` і використання композиції генераторів, що може бути корисною в інших випадках.

18 changes: 9 additions & 9 deletions 18 1-js/12-generators-iterators/1-generators/01-pseudo-random-generator/task.md

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		@@ -1,29 +1,29 @@

		# Pseudo-random generator
		# Псевдовипадковий генератор

		There are many areas where we need random data.
		Є багато областей, де нам потрібні випадкові дані.

		One of them is testing. We may need random data: text, numbers, etc. to test things out well.
		Одна з них – тестування. Нам можуть знадобитися випадкові дані: текст, числа тощо, щоб добре все перевірити.

		In JavaScript, we could use `Math.random()`. But if something goes wrong, we'd like to be able to repeat the test, using exactly the same data.
		У JavaScript ми можемо використовувати `Math.random()`. Але якщо щось піде не так, ми хотіли б мати можливість повторити тест, використовуючи точно ті самі дані.

		For that, so called "seeded pseudo-random generators" are used. They take a "seed", the first value, and then generate the next ones using a formula so that the same seed yields the same sequence, and hence the whole flow is easily reproducible. We only need to remember the seed to repeat it.
		Для цього використовуються так звані "сіяні псевдовипадкові генератори". Вони беруть "зерно", перше значення, а потім генерують наступні за допомогою формули, так що те саме насіння дає ту саму послідовність, а отже, весь потік легко відтворюється. Нам потрібно лише згадати зерно, щоб повторити його.

		An example of such formula, that generates somewhat uniformly distributed values:
		Приклад такої формули, яка генерує рівномірно розподілені значення:

		```
		next = previous * 16807 % 2147483647
		```

		If we use `1` as the seed, the values will be:
		Якщо ми використаємо `1` як зерно, то значення будуть такими:
Comment thread Nordtonito marked this conversation as resolved. Resolved Uh oh! There was an error while loading. Please reload this page.
		1. `16807`
		2. `282475249`
		3. `1622650073`
		4. ...and so on...

		The task is to create a generator function `pseudoRandom(seed)` that takes `seed` and creates the generator with this formula.
		Завдання полягає в тому, щоб створити функцію-генератор `pseudoRandom(seed)`, яка приймає `seed` і створює генератор з цією формулою.

		Usage example:
		Приклад використання:

		```js
		let generator = pseudoRandom(1);
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