the concept of a Project Object Model (POM), Maven can manage a project's
  build, reporting and documentation from a central piece of information.

  Documentation
  -------------

  The most up-to-date documentation can be found at https://maven.apache.org/.

  Release Notes
  -------------

  The full list of changes, system requirements and related can be found at https://maven.apache.org/docs/history.html.

    mod = importlib.import_module(
        f"docs_src.path_operation_configuration.{request.param}"
    )
    return TestClient(mod.app)


def test_post_items(client: TestClient):
    response = client.post(
        "/items/",
        json={
            "name": "Foo",
            "description": "Item description",
            "price": 42.0,
            "tax": 3.2,
            "tags": ["bar", "baz"],
        },

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: list[str] = []


@app.post("/items/", response_model=Item)
async def create_item(item: Item) -> Any:
    return item


@app.get("/items/", response_model=list[Item])
async def read_items() -> Any:
    return [

*   Include unit tests when you contribute new features, as they help to a)
    prove that your code works correctly, and b) guard against future breaking
    changes to lower the maintenance cost.
*   Bug fixes also generally require unit tests, because the presence of bugs
    usually indicates insufficient test coverage.
*   Keep API compatibility in mind when you change code in core TensorFlow,
    e.g., code in

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", response_model=Item, summary="Create an item")
async def create_item(item: Item):
    """
    Create an item with all the information:

    - **name**: each item must have a name

    mod = importlib.import_module(f"docs_src.response_model.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_user(client: TestClient):
    response = client.post(
        "/user/",
        json={
            "username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )

    mod = importlib.import_module(f"docs_src.separate_openapi_schemas.{request.param}")

    client = TestClient(mod.app)
    return client


def test_create_item(client: TestClient) -> None:
    response = client.post("/items/", json={"name": "Foo"})
    assert response.status_code == 200, response.text
    assert response.json() == {"name": "Foo", "description": None}


def test_read_items(client: TestClient) -> None:

		t.Fatalf("no error should happen when query with embedded struct, but got %v", err)
	}
	expectAuthors := []string{"Edward", "George"}
	for i, post := range egPosts {
		t.Log(i, post.Author)
		if want := expectAuthors[i]; post.Author.Name != want {
			t.Errorf("expected author %s got %s", want, post.Author.Name)
		}
	}
}

func TestEmbeddedPointerTypeStruct(t *testing.T) {
	type BasePost struct {
		Id    int64
		Title string

def get_query(background_tasks: BackgroundTasks, q: Union[str, None] = None):
    if q:
        message = f"found query: {q}\n"
        background_tasks.add_task(write_log, message)
    return q


@app.post("/send-notification/{email}")
async def send_notification(
    email: str, background_tasks: BackgroundTasks, q: Annotated[str, Depends(get_query)]
):
    message = f"message to {email}\n"

            return await original_route_handler(request)

        return custom_route_handler


app = FastAPI()
app.router.route_class = GzipRoute


@app.post("/sum")
async def sum_numbers(numbers: Annotated[list[int], Body()]):