TF_Status* status) {
  status->status = tensorflow::FindKernelDef(
      tensorflow::DeviceType(device_type), builder->BuildNodeDef(),
      /* def = */ nullptr, /* kernel_class_name = */ nullptr);
}

const char* TF_GetNumberAttrForOpListInput(const char* op_name, int input_index,
                                           TF_Status* status) {

### typing 模块 { #typing-module }

在一些额外的用例中，你可能需要从标准库的 `typing` 模块导入内容。比如当你想声明“任意类型”时，可以使用 `typing` 中的 `Any`：

```python
from typing import Any


def some_function(data: Any):
    print(data)
```

### 泛型类型 { #generic-types }

有些类型可以在方括号中接收“类型参数”（type parameters），用于声明其内部值的类型。比如“字符串列表”可以写为 `list[str]`。

这些能接收类型参数的类型称为“泛型类型”（Generic types）或“泛型”（Generics）。

		fmt.Printf("%q\n", word)
	}

	// Output:
	// Split on whitespace(similar to FieldsSeq):
	// "The"
	// "quick"
	// "brown"
	// "fox"
	//
	// Split on digits:
	// "abc"
	// "def"
	// "ghi"

* 建立一個空的 `__init__.py` 檔案。
* 建立一個 `main.py` 檔案，內容如下：

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):
    return {"item_id": item_id, "q": q}
```

### Dockerfile { #dockerfile }

現在在同一個專案目錄建立一個 `Dockerfile` 檔案，內容如下：

from fastapi.testclient import TestClient

app = FastAPI()


async def common_parameters(q: str | None = None, skip: int = 0, limit: int = 100):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return {"message": "Hello Items!", "params": commons}


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

app_default = FastAPI()


@app_default.post("/items/")
async def app_default_post(data: dict):
    return data


app_lax = FastAPI(strict_content_type=False)


@app_lax.post("/items/")
async def app_lax_post(data: dict):
    return data


client_default = TestClient(app_default)
client_lax = TestClient(app_lax)


def test_default_strict_rejects_no_content_type():

@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.body_multiple_params.{request.param}")

    client = TestClient(mod.app)
    return client


def test_post_all(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "item": {

    }
)

client = TestClient(app)


def raise_value_error():
    raise ValueError()


def dependency_with_yield():
    yield raise_value_error()


@app.get("/dependency-with-yield", dependencies=[Depends(dependency_with_yield)])
def with_yield(): ...


@app.get("/http-exception")
def route_with_http_exception():
    raise HTTPException(status_code=400)

)
def get_exclude_unset_none() -> ModelDefaults:
    return ModelDefaults(x=None, y="y")


client = TestClient(app)


def test_return_defaults():
    response = client.get("/")
    assert response.json() == {"sub": {}}


def test_return_exclude_unset():
    response = client.get("/exclude_unset")
    assert response.json() == {"x": None, "y": "y"}


def test_return_exclude_defaults():

```Python hl_lines="1"
async def get_burgers(number: int):
    # Opérations asynchrones pour créer les burgers
    return burgers
```

... et non `def` :

```Python hl_lines="2"
# Ceci n'est pas asynchrone
def get_sequential_burgers(number: int):
    # Opérations séquentielles pour créer les burgers