{!../../docs_src/websockets/tutorial001.py!}
```

您可以接收和发送二进制、文本和 JSON 数据。

## 尝试一下

如果您的文件名为 `main.py`，请使用以下命令运行应用程序：

```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)
```

在浏览器中打开 <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>。

您将看到一个简单的页面，如下所示：

import pytest
from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
from fastapi.routing import APIRoute, APIWebSocketRoute
from fastapi.testclient import TestClient

app = FastAPI()


@app.get("/users/{user_id}")
async def get_user(user_id: str, request: Request):
    route: APIRoute = request.scope["route"]
    return {"user_id": user_id, "path": route.path}


@app.websocket("/items/{item_id}")

  <exclude name="**/testing/**"/>
</source>

<!--
    We used to set this only for packages that had manual supersource. That
    worked everywhere that I know of except for one place: when running the GWT
    util.concurrent tests under Guava.

    The problem is that GWT responds poorly to two .gwt.xml files in the same
    Java package; see

In 12 drive example above, with MinIO server running in the default configuration, you can lose any of the six drives and still reconstruct the data reliably from the remaining drives.

## Why is Erasure Code useful?

 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public final class CountingOutputStream extends FilterOutputStream {

  private long count;

  /**
   * Wraps another output stream, counting the number of bytes written.
   *
   * @param out the output stream to be wrapped
   */
  public CountingOutputStream(OutputStream out) {
    super(checkNotNull(out));
  }

import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Base class for services that can implement {@link #startUp} and {@link #shutDown} but while in
 * the "running" state need to perform a periodic task. Subclasses can implement {@link #startUp},
 * {@link #shutDown} and also a {@link #runOneIteration} method that will be executed periodically.
 *

			t.Errorf("Test %d: expected: %s, got: %s", i+1, expectedStr, str)
		}
		os.Unsetenv("MARATHON_APP_LABEL_DCOS_PACKAGE_VERSION")
		os.Unsetenv(testCase.envName)
	}
}

// Tests if the environment we are running is in DCOS.
func TestIsDCOS(t *testing.T) {
	t.Setenv("MESOS_CONTAINER_NAME", "mesos-1111")
	dcos := IsDCOS()
	if !dcos {
		t.Fatalf("Expected %t, got %t", true, dcos)
	}
	os.Unsetenv("MESOS_CONTAINER_NAME")

## How to Test Your Changes to TensorFlow

You may check how your changes will affect TensorFlow by:

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job

x-minio-common: &minio-common
  image: minio/minio:${MINIO_VERSION}
  command: server http://minio{1...4}/data{1...3}
  env_file:
    - ./minio.env
  expose:
    - "9000"
    - "9001"

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1

val DslContext.uuidPrefix: String
    get() = settingsRoot.id.toString().substringAfter("Gradle")

data class VersionedSettingsBranch(val branchName: String) {
    /**
     * 0~23.
     * To avoid nightly promotion jobs running at the same time,
     * we run each branch on different hours.
     * master - 0:00
     * release - 1:00
     * release6x - 2:00
     * release7x - 3:00
     * ...
     * releaseNx - (N-4):00
     */