<span style="background-color:#007166"><font color="#D3D7CF"> server </font></span>  Server started at <font color="#729FCF"><u style="text-decoration-style:solid">http://127.0.0.1:8000</u></font>
   <span style="background-color:#007166"><font color="#D3D7CF"> server </font></span>  Documentation at <font color="#729FCF"><u style="text-decoration-style:solid">http://127.0.0.1:8000/docs</u></font>

/// tip | Dica

    }

    private void addUtilityTasks(TaskContainer tasks, GradleDocumentationExtension extension) {
        tasks.register("serveDocs", ServeDocs.class, task -> {
            task.setDescription("Runs a local webserver to serve generated documentation.");
            task.setGroup("documentation");

            int webserverPort = 8000;
            task.getJavaLauncher().set(

Lets start the lambda handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

## Start MinIO with Lambda target

```
.
├── app
│   ├── __init__.py
│   ├── main.py
└── static
    ├── redoc.standalone.js
    ├── swagger-ui-bundle.js
    └── swagger-ui.css
```

### Die statischen Dateien bereitstellen { #serve-the-static-files }

* Importieren Sie `StaticFiles`.
* „Mounten“ Sie eine `StaticFiles()`-Instanz in einem bestimmten Pfad.

{* ../../docs_src/custom_docs_ui/tutorial002_py39.py hl[7,11] *}

## Install the Server Program { #install-the-server-program }

When you install FastAPI, it comes with a production server, Uvicorn, and you can start it with the `fastapi run` command.

But you can also install an ASGI server manually.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then you can install the server application.

read/write/executions.

### Running a TensorFlow server

TensorFlow is a platform for distributed computing, and as such there is a
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any

func (m *Manager) AddToMux(router *mux.Router, authReq func(r *http.Request) error) {
	router.Handle(m.routePath, m.Handler(authReq))
}

// Handler returns a handler that can be used to serve grid requests.
// This should be connected on RoutePath to the main server.
func (m *Manager) Handler(authReq func(r *http.Request) error) http.HandlerFunc {
	return func(w http.ResponseWriter, req *http.Request) {
		defer func() {
			if debugPrint {

```
.
├── app
│   ├── __init__.py
│   ├── main.py
└── static
    ├── redoc.standalone.js
    ├── swagger-ui-bundle.js
    └── swagger-ui.css
```

### Предоставьте доступ к статическим файлам { #serve-the-static-files }

* Импортируйте `StaticFiles`.
* Смонтируйте экземпляр `StaticFiles()` в определённый путь.

{* ../../docs_src/custom_docs_ui/tutorial002_py39.py hl[7,11] *}

       * make a ton of sense to have a separate tests for each. But having tests for each doesn't
       * really hurt anything, and maybe it will serve a purpose in a future in which Java has a
       * built-in nullness feature?
       */
      "ExtendsObject",
    })
    <T extends Object> void withObjectBound(List<T> list) {}

    @SuppressWarnings("unused")