}

  public void testToArray() {
    // need explicit type parameter to avoid javac warning!?
    List<Double> none = Arrays.<Double>asList();
    assertThat(Doubles.toArray(none)).isEqualTo(EMPTY);

    List<Double> one = Arrays.asList(1.0);
    assertThat(Doubles.toArray(one)).isEqualTo(ARRAY1);

    double[] array = {0.0, 1.0, Math.PI};

    List<Double> three = Arrays.asList(0.0, 1.0, Math.PI);

     * commit was made.
     * <p>
     * This approach doesn't work with merge commits as these can introduce commits in the chronological order
     * after the fact e.x. a merge done today can add commits dated with yesterday so the result will no longer be
     * deterministic.
     * <p>
     * We don't use merge commits, but for additional safety we check that no such commits exist in the time period

from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="******@****.***", full_name="John Doe"
    )

# Without aliases


@app.post("/optional-str", operation_id="optional_str")
async def read_optional_str(p: Annotated[str | None, Form()] = None):
    return {"p": p}


class FormModelOptionalStr(BaseModel):
    p: str | None = None


@app.post("/model-optional-str", operation_id="model_optional_str")
async def read_model_optional_str(p: Annotated[FormModelOptionalStr, Form()]):

from pydantic import BaseModel

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: str | None = None
    full_name: str | None = None
    disabled: bool | None = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="******@****.***", full_name="John Doe"
    )

# Without aliases


@app.get("/optional-list-str")
async def read_optional_list_str(
    p: Annotated[list[str] | None, Header()] = None,
):
    return {"p": p}


class HeaderModelOptionalListStr(BaseModel):
    p: list[str] | None = None


@app.get("/model-optional-list-str")
async def read_model_optional_list_str(
    p: Annotated[HeaderModelOptionalListStr, Header()],
):

        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_missing(path: str, json: dict[str, Any] | None):
    client = TestClient(app)
    response = client.post(path, json=json)
    assert response.status_code == 422

async def router_decorator_depends():
    return {"in": "router-decorator-depends"}


app.include_router(router)

client = TestClient(app)


async def overrider_dependency_simple(q: str | None = None):
    return {"q": q, "skip": 5, "limit": 10}


async def overrider_sub_dependency(k: str):
    return {"k": k}


async def overrider_dependency_with_sub(msg: dict = Depends(overrider_sub_dependency)):

Wir hatten diese Typannotation:

```Python
q: str | None = None
```

Was wir tun werden, ist, dies mit `Annotated` zu wrappen, sodass es zu:

```Python
q: Annotated[str | None] = None
```

Beide dieser Versionen bedeuten dasselbe: `q` ist ein Parameter, der ein `str` oder `None` sein kann, und standardmäßig ist er `None`.

Jetzt springen wir zu den spannenden Dingen. 🎉

Agora é a hora de usá-lo com FastAPI. 🚀

Tínhamos esta anotação de tipo:

```Python
q: str | None = None
```

O que faremos é envolver isso com `Annotated`, para que fique assim:

```Python
q: Annotated[str | None] = None
```

Ambas as versões significam a mesma coisa, `q` é um parâmetro que pode ser `str` ou `None`, e por padrão é `None`.

Agora vamos pular para a parte divertida. 🎉