description: str | None = None
    tax: float | None = None


app = FastAPI()


@app.get("/items/next", response_model=Item)
async def read_next_item():
    return {
        "name": "Island In The Moon",
        "price": 12.99,
        "description": "A place to be playin' and havin' fun",
        "tags": ["breater"],

    tax: float | None = None


app = FastAPI()


@app.get("/item", response_model=Item)
async def read_item():
    return {
        "id": uuid.uuid4(),
        "name": "Island In The Moon",
        "price": 12.99,
        "description": "A place to be playin' and havin' fun",
        "tags": ["breater"],
    }


client = TestClient(app)


def test_annotations():

@app.get("/authors/", response_model=list[Author])  # (7)
def get_authors():  # (8)
    return [  # (9)
        {
            "name": "Breaters",
            "items": [
                {
                    "name": "Island In The Moon",
                    "description": "A place to be playin' and havin' fun",
                },
                {"name": "Holy Buddies"},
            ],
        },
        {

Benzer şekilde, uygulama **kapanırken** çalıştırılması gereken mantığı (kodu) da tanımlayabilirsiniz. Bu durumda bu kod, muhtemelen **çok sayıda request** işlendi **sonra**, **bir kez** çalıştırılır.

**Typer** is FastAPI's little sibling. And it's intended to be the **FastAPI of CLIs**. ⌨️ 🚀

## Requirements

FastAPI stands on the shoulders of giants:

* [Starlette](https://www.starlette.dev/) for the web parts.
* [Pydantic](https://docs.pydantic.dev/) for the data parts.

## Installation

**Typer** is FastAPI's little sibling. And it's intended to be the **FastAPI of CLIs**. ⌨️ 🚀

## Requirements { #requirements }

FastAPI stands on the shoulders of giants:

* [Starlette](https://www.starlette.dev/) for the web parts.
* [Pydantic](https://docs.pydantic.dev/) for the data parts.

## Installation { #installation }

    Run(inputs, {{output, 0}}, {expected_result});
  }

  // Run the host graph, which now contains a function and check that
  // outputs are as expected.
  // 'T' stands for 'tensor' since the outputs are tensors, not scalars.
  void RunT(const std::vector<std::pair<TF_Operation*, TF_Tensor*>>& inputs,
            std::initializer_list<TF_Output> outputs,

must either all be present or all be absent. If present, each name
stands for one item (parameter or result) of the specified type and
all non-<a href="#Blank_identifier">blank</a> names in the signature
must be <a href="#Uniqueness_of_identifiers">unique</a>.
If absent, each type stands for one item of that type.
Parameter and result
lists are always parenthesized except that if there is exactly