hero_db.sqlmodel_update(hero_data)
    session.add(hero_db)
    session.commit()
    session.refresh(hero_db)
    return hero_db


@app.delete("/heroes/{hero_id}")
def delete_hero(hero_id: int, session: SessionDep):
    hero = session.get(Hero, hero_id)
    if not hero:
        raise HTTPException(status_code=404, detail="Hero not found")
    session.delete(hero)
    session.commit()

    @Resource
    public SearchEngineClient searchEngineClient;

    protected static class Options {
        @Option(name = "-s", aliases = "--sessionId", metaVar = "sessionId", usage = "Session ID")
        protected String sessionId;

        @Option(name = "-n", aliases = "--name", metaVar = "name", usage = "Name")
        protected String name;

    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.0);
    stopwatch.sleepMillis(400);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.0);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.0);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.2);
  }

  public void testOneSecondBurst() {

    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.0);
    stopwatch.sleepMillis(400);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.0);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.0);
    assertThat(limiter.acquire()).isWithin(EPSILON).of(0.2);
  }

  public void testOneSecondBurst() {

def test_websocket_with_cookie(app: FastAPI):
    client = TestClient(app, cookies={"session": "fakesession"})
    with pytest.raises(WebSocketDisconnect):
        with client.websocket_connect("/items/foo/ws") as websocket:
            message = "Message one"
            websocket.send_text(message)
            data = websocket.receive_text()
            assert data == "Session cookie or query token value is: fakesession"

FROM registry.access.redhat.com/ubi9/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <******@****.***>" \
      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \
      summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \

FROM registry.access.redhat.com/ubi8/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <******@****.***>" \
      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \
      summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \

        or other situation, under Python's version specification rules,
        `tensorflow[and-cuda]==2.15.0` will not install this fixed version.
        Please use `==2.15.0.post1` to specify this exact version on Linux
        platforms, or a fuzzy version specification, such as `==2.15.*`, to
        specify the most recent compatible version of TensorFlow 2.15 on all
        platforms.

# Release 2.15.0

And then it just returns a `dict` containing those values.

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

def test_websocket_with_cookie(app: FastAPI):
    client = TestClient(app, cookies={"session": "fakesession"})
    with pytest.raises(WebSocketDisconnect):
        with client.websocket_connect("/items/foo/ws") as websocket:
            message = "Message one"
            websocket.send_text(message)
            data = websocket.receive_text()
            assert data == "Session cookie or query token value is: fakesession"