If you found a clear typo, please open a PR with a fix instead of opening an issue.

  - type: dropdown
    id: issue-type
    attributes:
      label: Issue type
      options:
        - Wrong or misleading information
        - Missing information
        - Styling or Accessibility
        - Typo (please open a PR instead)
    validations:
      required: true
  - type: textarea

  fun enqueueCancel() {
    cancel = true
  }

  override fun onOpen(
    eventSource: EventSource,
    response: Response,
  ) {
    get().log("[ES] onOpen", Platform.INFO, null)
    events.add(Open(eventSource, response))
    drainCancelQueue(eventSource)
  }

  override fun onEvent(
    eventSource: EventSource,
    id: String?,
    type: String?,
    data: String,
  ) {

    assertHash(
        0, 0xe34bbc7bbc071b6cL, 0x7a433ca9c49a9347L, "The quick brown fox jumps over the lazy dog");
    assertHash(
        0, 0x658ca970ff85269aL, 0x43fee3eaa68e5c3eL, "The quick brown fox jumps over the lazy cog");

    // Known output from Python smhasher
    HashCode foxHash =
        murmur3_128(0).hashString("The quick brown fox jumps over the lazy dog", UTF_8);
    assertEquals("6c1b07bc7bbc4be347939ac4a93c437a", foxHash.toString());

     */

    static final int FILE_SUPERSEDE = 0x0;

    /*
     * Open the file or fail if it does not exist
     * aka OPEN_EXISTING
     */

    static final int FILE_OPEN = 0x1;

    /*
     * Create the file or fail if it does not exist
     * aka CREATE_NEW
     */

    static final int FILE_CREATE = 0x2;

    /*
     * Open the file or create it if it does not exist
     * aka OPEN_ALWAYS
     */

Nehmen wir als Beispiel die folgende Anwendung:

{* ../../docs_src/query_params_str_validations/tutorial001_py310.py hl[7] *}

Der Query-Parameter `q` hat den Typ `Union[str, None]` (oder `str | None` in Python 3.10), was bedeutet, er ist entweder ein `str` oder `None`. Der Defaultwert ist `None`, also weiß FastAPI, der Parameter ist nicht erforderlich.

/// note | Hinweis

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

	}
	left, err := v.UnmarshalMsg(bts)
	if err != nil {
		t.Fatal(err)
	}
	if len(left) > 0 {
		t.Errorf("%d bytes left over after UnmarshalMsg(): %q", len(left), left)
	}

	left, err = msgp.Skip(bts)
	if err != nil {
		t.Fatal(err)
	}
	if len(left) > 0 {
		t.Errorf("%d bytes left over after Skip(): %q", len(left), left)
	}
}

func BenchmarkMarshalMsgBucketReplicationStat(b *testing.B) {

   * events.
   */
  open fun onOpen(
    eventSource: EventSource,
    response: Response,
  ) {
  }

  /**
   * Invoked when a new event has been sent to the client.
   *
   * @param id The `id` line of the event, might be null.
   * @param type The `event` line of the event, might be null.
   * @param data The `data` line of the event.
   */
  open fun onEvent(
    eventSource: EventSource,

 *
 * <p>For example, the tree
 *
 * {@snippet :
 *        h
 *      / | \
 *     /  e  \
 *    d       g
 *   /|\      |
 *  / | \     f
 * a  b  c
 * }
 *
 * <p>can be iterated over in preorder (hdabcegf), postorder (abcdefgh), or breadth-first order
 * (hdegabcf).
 *
 * <p>Null nodes are strictly forbidden.
 *
 * <p>Because this is an abstract class, not an interface, you can't use a lambda expression to

	}
	left, err := v.UnmarshalMsg(bts)
	if err != nil {
		t.Fatal(err)
	}
	if len(left) > 0 {
		t.Errorf("%d bytes left over after UnmarshalMsg(): %q", len(left), left)
	}

	left, err = msgp.Skip(bts)
	if err != nil {
		t.Fatal(err)
	}
	if len(left) > 0 {
		t.Errorf("%d bytes left over after Skip(): %q", len(left), left)
	}
}

func BenchmarkMarshalMsgChecksumInfo(b *testing.B) {
	v := ChecksumInfo{}