When translating sentences, avoid unnecessary repetition of words or phrases that are implied in context.
- Merge repeated words naturally while keeping the meaning.
- Do **not** introduce extra words to replace repeated phrases unnecessarily.
- Keep translations fluent and concise, but maintain the original meaning.

**Example:**

Source:
Let's see how that works and how to change it if you need to do that.

Avoid translating literally as:

* production (meaning production software or environment): продакшн (do not change the ending, for example, translate `in production` as `в продакшн` (not `в продакшене`))
* completion (meaning code auto-completion): автозавершение
* editor (meaning component of IDE): редактор кода
* adopt (meaning start to use): использовать (or `начать использовать`)
* headers (meaning HTTP-headers): HTTP-заголовки

    [Environment]::SetEnvironmentVariable('PATH', $env:PATH, 'Machine');

# Disable signature checking on pacman because we cannot initialize the keyring.
RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.mingw32 -Value 'SigLevel = Never'
RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.mingw64 -Value 'SigLevel = Never'

- Mozilla Developer Network: Мережа Розробників Mozilla
- tutorial: навчальний посібник
- advanced user guide: просунутий посібник користувача
- deep learning: глибоке навчання
- machine learning: машинне навчання
- dependency injection: впровадження залежностей
- digest (HTTP): дайджест
- basic authentication (HTTP): базова автентифікація
- JSON schema: Схема JSON
- password flow: потік паролю

## Kullanım Senaryosu { #use-case }

Önce bir **kullanım senaryosu** örneğiyle başlayalım, sonra bunu bununla nasıl çözeceğimize bakalım.

Request’leri işlemek için kullanmak istediğiniz bazı **machine learning modelleriniz** olduğunu hayal edelim. 🤖

* 100% test coverage: cobertura de tests del 100%
* back and forth: de un lado a otro
* I/O (as in "input and output"): I/O (do not translate to "E/S")
* Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático")
* Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo")
* callback hell: callback hell (do not translate to "infierno de callbacks")
* tip: Consejo (do not translate to "tip")

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

Let's imagine that you have some **machine learning models** that you want to use to handle requests. 🤖

## Caso de Uso { #use-case }

Empecemos con un ejemplo de **caso de uso** y luego veamos cómo resolverlo con esto.

Imaginemos que tienes algunos **modelos de machine learning** que quieres usar para manejar requests. 🤖

```

And more text

```console
// Use the command "live" and pass the language code as a CLI argument
$ python ./scripts/docs.py live es

<span style="color: green;">[INFO]</span> Serving on http://127.0.0.1:8008
<span style="color: green;">[INFO]</span> Start watching changes
<span style="color: green;">[INFO]</span> Start detecting changes
```

And even more text

```json
{

```

### 3.2 Automatic removal of noncurrent versions keeping only most recent ones after noncurrent days

It is possible to configure automatic removal of older noncurrent versions keeping only the most recent `N` using `NewerNoncurrentVersions`.

e.g, To remove noncurrent versions of all objects keeping the most recent 5 noncurrent versions under the prefix `user-uploads/` 30 days after they become noncurrent ,