val openAtNanos = System.nanoTime()
    newWebSocket()
    clientListener.assertOpen()
    clientListener.assertFailure(
      SocketTimeoutException::class.java,
      "sent ping but didn't receive pong within 500ms (after 0 successful ping/pongs)",
    )
    latch.countDown()
    val elapsedUntilFailure = System.nanoTime() - openAtNanos
    assertThat(TimeUnit.NANOSECONDS.toMillis(elapsedUntilFailure).toDouble())

internal fun FileSystem.deleteIfExists(path: Path) {
  try {
    delete(path)
  } catch (fnfe: FileNotFoundException) {
    return
  }
}

/** Tolerant delete, try to clear as many files as possible even after a failure. */
internal fun FileSystem.deleteContents(directory: Path) {
  var exception: IOException? = null
  val files =
    try {
      list(directory)
    } catch (fnfe: FileNotFoundException) {
      return

<a href="https://platform.sh/try-it-now/?utm_source=fastapi-signup&utm_medium=banner&utm_campaign=FastAPI-signup-June-2023" target="_blank" title="Build, run and scale your apps on a modern, reliable, and secure PaaS."><img src="https://fastapi.tiangolo.com/img/sponsors/platform-sh.png"></a>

<img src="/img/async/parallel-burgers/parallel-burgers-04.png" class="illustration">

Then your cashier/cook 👨‍🍳 finally comes back with your burgers, after a long time waiting 🕙 there in front of the counter.

<img src="/img/async/parallel-burgers/parallel-burgers-05.png" class="illustration">

You take your burgers and go to the table with your crush.

### Authenticate

Click the "Authorize" button.

Use the credentials:

User: `johndoe`

Password: `secret`

<img src="/img/tutorial/security/image04.png">

After authenticating in the system, you will see it like:

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

### Get your own user data

Now use the operation `GET` with the path `/users/me`.

pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged
automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the

Ensuite, vous pouvez servir cela avec le commandement `serve`:

<div class="termy">

```console
// Use the command "serve" after running "build-all"
$ python ./scripts/docs.py serve

Warning: this is a very simple server. For development, use mkdocs serve instead.
This is here only to preview a site with translations already built.

Successfully built docs for: es
```

</div>

这样会对每一种语言构建一个独立的文档站点，并最终把这些站点全部打包输出到 `./site/` 目录。



然后你可以使用命令 `serve` 来运行生成的站点：

<div class="termy">

```console
// Use the command "serve" after running "build-all"
$ python ./scripts/docs.py serve

Warning: this is a very simple server. For development, use mkdocs serve instead.
This is here only to preview a site with translations already built.

  // deployment controller.
  // +optional
  optional bool paused = 7;

  // DEPRECATED.
  // The config this deployment is rolling back to. Will be cleared after rollback is done.
  // +optional
  optional RollbackConfig rollbackTo = 8;

  // The maximum time in seconds for a deployment to make progress before it

    bytesIn.writeUtf8("custom-header")

    // Set to only support 110 bytes (enough for 2 headers).
    // Use a new Writer because we don't support change the dynamic table
    // size after Writer constructed.
    val writer = Hpack.Writer(110, false, bytesOut)
    writer.writeHeaders(headerBlock)
    assertThat(bytesOut).isEqualTo(bytesIn)
    assertThat(writer.headerCount).isEqualTo(2)