end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick")
        function ->> execute: führe Code der Funktion aus
        execute ->> code: gib das Resultat zurück
    end

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Rick", salutation="Mr.")
        function ->> execute: führe Code der Funktion aus

     * by Kadatch and Jenkins, 2010.
     */

    Crc32cHasher() {
      super(16);
    }

    private boolean finished = false;

    /*
     * This trick allows us to avoid having separate states for "first four ints" and "all other
     * four int chunks."  The state we want after the first four bytes is
     *
     * crc0 = ~int0
     * crc1 = int1
     * crc2 = int2

```Python
q: Annotated[str, Query(default="rick")] = "morty"
```

...потому что нельзя однозначно определить, что именно должно быть значением по умолчанию: `"rick"` или `"morty"`.

Вам следует использовать (предпочтительно):

```Python
q: Annotated[str, Query()] = "rick"
```

...или как в старом коде, который вам может попасться:

```Python
q: str = Query(default="rick")
```

```Python
q: Annotated[str, Query(default="rick")] = "morty"
```

... denn es wird nicht klar, ob der Defaultwert `"rick"` oder `"morty"` sein soll.

Sie würden also (bevorzugt) schreiben:

```Python
q: Annotated[str, Query()] = "rick"
```

In älterem Code werden Sie auch finden:

```Python
q: str = Query(default="rick")
```

### Vorzüge von `Annotated`

            "X-Token": "fake-super-secret-token",
            "X-Key": "fake-super-secret-key",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == [{"username": "Rick"}, {"username": "Morty"}]


@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

            "X-Token": "fake-super-secret-token",
            "X-Key": "fake-super-secret-key",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == [{"username": "Rick"}, {"username": "Morty"}]


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",

enum BloomFilterStrategies implements BloomFilter.Strategy {
  /**
   * See "Less Hashing, Same Performance: Building a Better Bloom Filter" by Adam Kirsch and Michael
   * Mitzenmacher. The paper argues that this trick doesn't significantly deteriorate the
   * performance of a Bloom filter (yet only needs two 32bit hash functions).
   */
  MURMUR128_MITZ_32() {
    @Override
    public <T extends @Nullable Object> boolean put(

    ```

## Order the parameters as you need, tricks

!!! tip
    This is probably not as important or necessary if you use `Annotated`.

Here's a **small trick** that can be handy, but you won't need it often.

If you want to:

* declare the `q` query parameter without a `Query` nor any default value
* declare the path parameter `item_id` using `Path`

```Python
q: Annotated[str, Query(default="rick")] = "morty"
```

...because it's not clear if the default value should be `"rick"` or `"morty"`.

So, you would use (preferably):

```Python
q: Annotated[str, Query()] = "rick"
```

...or in older code bases you will find:

```Python
q: str = Query(default="rick")
```

### Advantages of `Annotated`

Nevertheless, we can declare the expected schema for the request body.

### Custom OpenAPI content type

Using this same trick, you could use a Pydantic model to define the JSON Schema that is then included in the custom OpenAPI schema section for the *path operation*.

And you could do this even if the data type in the request is not JSON.