*       {@code {"--module-path", "dir/path1:dir/path2"}} on Unix or
     *       {@code {"--module-path", "dir\path1;dir\path2"}} on Windows.</li>
     *   <li>If this type was created by {@code JavaPathType.patchModule("foo.bar")}, then the method returns
     *       {@code {"--patch-module", "foo.bar=dir/path1:dir/path2"}} on Unix or
     *       {@code {"--patch-module", "foo.bar=dir\path1;dir\path2"}} on Windows.</li>
     * </ul>

<img src="/img/tutorial/sub-applications/image01.png">

Sonra alt uygulamanın dokümanlarını [http://127.0.0.1:8000/subapi/docs](http://127.0.0.1:8000/subapi/docs) adresinden açın.

Alt uygulama için otomatik API dokümanlarını göreceksiniz; yalnızca onun kendi _path operation_’larını içerir ve hepsi doğru alt-path öneki `/subapi` altında yer alır:

"Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.

### Top-level application { #top-level-application }

First, create the main, top-level, **FastAPI** application, and its *path operations*:

{* ../../docs_src/sub_applications/tutorial001_py310.py hl[3, 6:8] *}

# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise  # pylint: disable=undefined-variable
_current_module = _sys.modules[__name__]
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
if not hasattr(_current_module, "__path__"):
  __path__ = [_tf_api_dir]

		// and mount path is /tmp/fs. In such a scenario we need to check for
		// `/tmp/fs/` to be a common prefix amount other mounts.
		mpath := strings.TrimSuffix(mount.Path, "/") + "/"
		ppath := strings.TrimSuffix(path, "/") + "/"
		if strings.HasPrefix(mpath, ppath) {
			// At this point if the mount point has a common prefix two conditions can happen.

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
_current_module = _sys.modules[__name__]

if not hasattr(_current_module, "__path__"):
  __path__ = [_tf_api_dir]
elif _tf_api_dir not in __path__:

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Parámetros de path conteniendo paths { #path-parameters-containing-paths }

Imaginemos que tienes una *path operation* con un path `/files/{file_path}`.

Pero necesitas que `file_path` en sí mismo contenga un *path*, como `home/johndoe/myfile.txt`.

Entonces, la URL para ese archivo sería algo como: `/files/home/johndoe/myfile.txt`.

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Path parameters containing paths { #path-parameters-containing-paths }

Let's say you have a *path operation* with a path `/files/{file_path}`.

But you need `file_path` itself to contain a *path*, like `home/johndoe/myfile.txt`.

So, the URL for that file would be something like: `/files/home/johndoe/myfile.txt`.

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Parâmetros de path que contêm paths { #path-parameters-containing-paths }

Digamos que você tenha uma *operação de rota* com um path `/files/{file_path}`.

Mas você precisa que o próprio `file_path` contenha um *path*, como `home/johndoe/myfile.txt`.

Então, a URL para esse arquivo seria algo como: `/files/home/johndoe/myfile.txt`.

# Path Operationの高度な設定 { #path-operation-advanced-configuration }

## OpenAPI operationId { #openapi-operationid }

/// warning | 注意

OpenAPIの「エキスパート」でなければ、これはおそらく必要ありません。

///

*path operation* で `operation_id` パラメータを利用することで、OpenAPIの `operationId` を設定できます。

各オペレーションで一意になるようにする必要があります。

{* ../../docs_src/path_operation_advanced_configuration/tutorial001_py310.py hl[6] *}