{!> ../../../docs_src/dependencies/tutorial006.py!}
    ```

## Dependencies для группы *операций путей*

Позже, читая о том как структурировать большие приложения ([Bigger Applications - Multiple Files](../../tutorial/bigger-applications.md){.internal-link target=_blank}), возможно, многофайловые, вы узнаете как объявить единый параметр `dependencies` для всей группы *операций путей*.

## Глобальный Dependencies

        tf.math.multiply(a, b)

        server.register("multiply", _remote_multiply) ```

    *   Example usage to create client: `python client =
        tf.distribute.experimental.rpc.Client.create("grpc", address) a =
        tf.constant(2, dtype=tf.int32) b = tf.constant(3, dtype=tf.int32)
        result = client.multiply(a, b)`

*   `tf.lite`:

## Pydanticを使わない方法

     * this client silently recovers from the following problems:
     *
     * * **Unreachable IP addresses.** If the URL's host has multiple IP addresses,
     *   failure to reach any individual IP address doesn't fail the overall request. This can
     *   increase availability of multi-homed services.
     *

    }

  /**
   * The maximum number of requests for each host to execute concurrently. This limits requests by
   * the URL's host name. Note that concurrent requests to a single IP address may still exceed this
   * limit: multiple hostnames may share an IP address or be routed through the same HTTP proxy.
   *
   * If more than [maxRequestsPerHost] requests are in flight when this is invoked, those requests
   * will remain in flight.
   *

With that you can connect the WebSocket and then send and receive messages:

<img src="/img/tutorial/websockets/image05.png">

## Handling disconnections and multiple clients

When a WebSocket connection is closed, the `await websocket.receive_text()` will raise a `WebSocketDisconnect` exception, which you can then catch and handle like in this example.

=== "Python 3.9+"

    host machine's IP address has additional DNS registrations.

 *  New: Create a JPMS-compatible artifact for `JavaNetCookieJar`. Previously, multiple OkHttp
    artifacts defined classes in the `okhttp3` package, but this is forbidden by the Java module
    system. We've fixed this with a new package (`okhttp3.java.net.cookiejar`) and a new artifact,

  // Verb is a list of kubernetes resource API verbs, like: get, list, watch, create, update, delete, proxy.  "*" means all.
  repeated string verbs = 1;

  // APIGroups is the name of the APIGroup that contains the resources.  If multiple API groups are specified, any action requested against one of
  // the enumerated resources in any API group will be allowed.  "*" means all.
  // +optional
  repeated string apiGroups = 2;

```Python
commons: Annotated[dict, Depends(common_parameters)]
```

But because we are using `Annotated`, we can store that `Annotated` value in a variable and use it in multiple places:

=== "Python 3.10+"

    ```Python hl_lines="12  16  21"
    {!> ../../../docs_src/dependencies/tutorial001_02_an_py310.py!}
    ```

=== "Python 3.9+"

## 带有 Gunicorn 的官方 Docker 镜像 - Uvicorn

有一个官方 Docker 镜像，其中包含与 Uvicorn worker一起运行的 Gunicorn，如上一章所述：[服务器工作线程 - Gunicorn 与 Uvicorn](server-workers.md){.internal-link target=_blank}。

该镜像主要在上述情况下有用：[具有多个进程和特殊情况的容器](#containers-with-multiple-processes-and-special-cases)。



* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.


!!! warning