Use `Objects.requireNonNull` statement or `Preconditions` rather than `assert` or `@SuppressWarning` annotation to suppress if possible.

For gradual adoption, enable checks project-by-project.
Do not rely on `@NullMarked` annotations.
Only enable checks for a project if all its dependencies have checks enabled, in order to avoid back-and-forth when refining the annotations.

### Invalid Return Type Annotations { #invalid-return-type-annotations }

But when you return some other arbitrary object that is not a valid Pydantic type (e.g. a database object) and you annotate it like that in the function, FastAPI will try to create a Pydantic response model from that type annotation, and will fail.

        }
    }
)


class User(BaseModel):
    username: str


# Here we use string annotations to test them
def get_current_user(oauth_header: "str" = Security(reusable_oauth2)):
    user = User(username=oauth_header)
    return user


@app.post("/login")
# Here we use string annotations to test them
def login(form_data: "OAuth2PasswordRequestFormStrict" = Depends()):
    return form_data

- the documentation: la documentation

- Exclude from OpenAPI: Exclusion d'OpenAPI

- framework: framework (do not translate to cadre)
- performance: performance

- type hints: annotations de type
- type annotations: annotations de type

- autocomplete: autocomplétion
- autocompletion: autocomplétion

- the request (what the client sends to the server): la requête

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

8. Notice that this *path operation function* uses regular `def` instead of `async def`.

    As always, in FastAPI you can combine `def` and `async def` as needed.

If you need or want to work with **GraphQL**, [**Strawberry**](https://strawberry.rocks/) is the **recommended** library as it has the design closest to **FastAPI's** design, it's all based on **type annotations**.

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

Here's a small preview of how you could integrate Strawberry with FastAPI:

Example:

Source (English):

```
## Type hints and annotations { #type-hints-and-annotations }
```

Translate with (German) - notice the hyphen:

```
## Typhinweise und -annotationen { #type-hints-and-annotations }
```

Do NOT translate with (German) - notice the dash:

```
## Typhinweise und –annotationen { #type-hints-and-annotations }
```

if TYPE_CHECKING:  # pragma: no cover

    class DummyUser: ...


@needs_py314
def test_stringified_annotation():
    # python3.14: Use forward reference without "from __future__ import annotations"
    async def get_current_user() -> DummyUser | None:
        return None

    app = FastAPI()

    client = TestClient(app)

    @app.get("/")
    async def get(

      <version>${project.version}</version>
    </dependency>
    <!-- We redeclare the j2objc-annotations dependency from `guava`: Our Gradle
         Module Metadata hides the dependency declared in `guava` from runtime
         configurations downstream, and GWT uses the runtime configuration for
         its builds. Thus, GWT doesn't get j2objc-annotations transitively, in
         contrast to the other deps of `guava`, which it does get transitively.

 * under the License.
 */

/**
 * A dependency injection framework for Maven that provides JSR-330 style annotations
 * for managing object lifecycle and dependencies within Maven's build process.
 * <p>
 * This package provides a set of annotations that control how objects are created,
 * managed and injected throughout Maven's execution lifecycle. The framework is designed