getMockRequest().addHeader("user-agent",
                "Mozilla/5.0 (iPhone; CPU iPhone OS 14_6 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.1.1 Mobile/15E148 Safari/604.1");
        assertEquals(UserAgentType.SAFARI, userAgentHelper.getUserAgentType());
    }

    @Test
    public void test_getUserAgentType_operaModern() {

Example:

Source (English):

```
## Another module with `APIRouter` { #another-module-with-apirouter }
```

Translate with (German):

```
## Ein weiteres Modul mit `APIRouter` { #another-module-with-apirouter }
```

Do NOT translate with (German) – notice the added period:

```
## Ein weiteres Modul mit `APIRouter`. { #another-module-with-apirouter }
```

		Email  string
		Mobile string `gorm:"default:'133xxxx'"`
	}

	err := DB.Migrator().DropTable(&OnConflictUser{})
	AssertEqual(t, err, nil)
	err = DB.AutoMigrate(&OnConflictUser{})
	AssertEqual(t, err, nil)

	u := OnConflictUser{
		ID:     "on-conflict-user-id",
		Name:   "on-conflict-user-name",
		Email:  "on-conflict-user-email",
		Mobile: "on-conflict-user-mobile",
	}

- machine learning: машинне навчання
- dependency injection: впровадження залежностей
- digest (HTTP): дайджест
- basic authentication (HTTP): базова автентифікація
- JSON schema: Схема JSON
- password flow: потік паролю
- mobile: мобільний
- body: тіло
- form: форма
- path: шлях
- query: запит
- cookie: кукі
- header: заголовок
- startup: запуск
- shutdown: вимкнення
- lifespan: тривалість життя
- authorization: авторизація

 * [Failsafe](https://failsafe.dev/okhttp/): Fault tolerance and resilience patterns.
 * [Flipper](https://fbflipper.com/): A desktop debugging platform for mobile developers.
 * [Fresco](https://github.com/facebook/fresco): An Android library for managing images and the memory they use.

// TODO(sjr): Remove the IS_MOBILE_PLATFORM guard. This will require ensuring
// that the tensorflow/cc/saved_model:loader build target is mobile friendly.
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "Loading a SavedModel is not supported on mobile. File a bug at "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");

        ":with_tpu_support_flag",
    ],
    visibility = ["//visibility:public"],
)

# Specifies via a config setting if this is a mobile build or not, makes
# it easier to combine settings later.
selects.config_setting_group(
    name = "mobile",
    match_any = [
        ":android",
        ":chromiumos",
        # TODO(jakeharmon8): Move all platform configs to TSL with fuchsia (non-blocking)

* the database session
* the disk
* the domain
* the engine
* the fake X
* the HTTP GET method
* the item
* the library
* the lifespan
* the lock
* the middleware
* the mobile application
* the module
* the mounting
* the network
* the origin
* the override
* the payload
* the processor
* the property
* the proxy
* the pull request
* the query
* the RAM

And to communicate using WebSockets with your backend you would probably use your frontend's utilities.

Or you might have a native mobile application that communicates with your WebSocket backend directly, in native code.

Or you might have any other way to communicate with the WebSocket endpoint.

---

    new String[]{"iPhone 15 Pro", "Apple iPhone 15 Pro"},
    new String[][]{{"iphone"}, {"apple", "phone"}},
    1.5f,                               // boost popular products
    new String[]{"electronics", "mobile"},
    new String[]{"customer"},
    SuggestItem.Kind.DOCUMENT
);
suggester.indexer().index(product);
```

### Content Management

```java
// Article/blog suggestions