///

## メッセージの送受信

WebSocketルートでは、 `await` を使ってメッセージの送受信ができます。

{* ../../docs_src/websockets/tutorial001.py hl[48:52] *}

バイナリやテキストデータ、JSONデータを送受信できます。

## 試してみる

ファイル名が `main.py` である場合、以下の方法でアプリケーションを実行します。

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

    if (path.endsWith(".html")) return "text/html; charset=utf-8";
    if (path.endsWith(".txt")) return "text/plain; charset=utf-8";
    return "application/octet-stream";
  }

  public static void main(String[] args) throws Exception {
    if (args.length != 4) {
      System.out.println("Usage: SampleServer <keystore> <password> <root file> <port>");
      return;
    }

    String keystoreFile = args[0];

            System.out.println(responseHeaders.name(i) + ": " + responseHeaders.value(i));
          }

          System.out.println(responseBody.string());
        }
      }
    });
  }

  public static void main(String... args) throws Exception {
    new AsynchronousGet().run();
  }

      }
    }
  }

  static class Gist {
    Map<String, GistFile> files;
  }

  static class GistFile {
    String content;
  }

  public static void main(String... args) throws Exception {
    new ParseResponseWithMoshi().run();
  }

/**
 * Provides tools for processing Maven dependency injection annotations at compile time.
 * <p>
 * This package contains annotation processors that generate metadata files used by
 * the Maven dependency injection system. The main component is the {@link org.apache.maven.di.tool.DiIndexProcessor},
 * which processes classes annotated with {@link org.apache.maven.api.di.Named} and creates an index file

fi

# Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling

 * an existing external tool is required.
 *
 * See https://stackoverflow.com/questions/61929216/how-to-log-tlsv1-3-keys-in-jsse-for-wireshark-to-decode-traffic
 *
 * Steps to run in your own code
 *
 * 1. In your main method `WireSharkListenerFactory.register()`
 * 2. Create Listener factory `val eventListenerFactory = WireSharkListenerFactory(
logFile = File("/tmp/key.log"), tlsVersions = tlsVersions, launch = launch)`

 * href="https://github.com/google/guava/wiki/ListenableFutureExplained">{@code
 * ListenableFuture}</a>.
 *
 * <p>This class is GWT-compatible.
 *
 * <h3>Purpose</h3>
 *
 * <p>The main purpose of {@code ListenableFuture} is to help you chain together a graph of
 * asynchronous operations. You can chain them together manually with calls to methods like {@link

 * href="https://github.com/google/guava/wiki/ListenableFutureExplained">{@code
 * ListenableFuture}</a>.
 *
 * <p>This class is GWT-compatible.
 *
 * <h3>Purpose</h3>
 *
 * <p>The main purpose of {@code ListenableFuture} is to help you chain together a graph of
 * asynchronous operations. You can chain them together manually with calls to methods like {@link

* [fess_label_en.properties](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_label_en.properties)
* [fess_message_en.properties](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_message_en.properties)