## List fields

You can define an attribute to be a subtype. For example, a Python `list`:

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="14"
{!> ../../docs_src/body_nested_models/tutorial001.py!}
```

////

Она принимает объект, например, модель Pydantic, и возвращает его версию, совместимую с JSON:

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.6+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310, needs_pydanticv2


@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@needs_pydanticv2
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_multiple_params.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_post_body_q_bar_content(client: TestClient):
    response = client.put("/items/5?q=bar", json={"name": "Foo", "price": 50.5})

//// tab | Python 3.10+

```Python hl_lines="13-21"
{!> ../../docs_src/schema_extra_example/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="15-23"
{!> ../../docs_src/schema_extra_example/tutorial001.py!}
```

////

这些额外的信息将按原样添加到输出的JSON模式中。

## `Field` 的附加参数

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.header_params.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,headers,expected_status,expected_response",
    [

```

////

//// tab | Python 3.10+ nicht annotiert

/// tip | "Tipp"

Bevorzugen Sie die `Annotated`-Version, falls möglich.

///

```Python hl_lines="6-7"
{!> ../../docs_src/dependencies/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+ nicht annotiert

/// tip | "Tipp"

Bevorzugen Sie die `Annotated`-Version, falls möglich.

///

```Python hl_lines="8-11"

* `@app.put()`
* `@app.delete()`
* etc.

//// tab | Python 3.10+

```Python hl_lines="17  22  24-27"
{!> ../../docs_src/response_model/tutorial001_py310.py!}
```

////

//// tab | Python 3.9+

```Python hl_lines="17  22  24-27"
{!> ../../docs_src/response_model/tutorial001_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="17  22  24-27"
{!> ../../docs_src/response_model/tutorial001.py!}

Es nimmt ein Objekt entgegen, wie etwa ein Pydantic-Modell, und gibt eine JSON-kompatible Version zurück:

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

from tests.utils import needs_py39, needs_py310


@pytest.fixture(
    name="client",
    params=[
        "tutorial001",
        pytest.param("tutorial001_py39", marks=needs_py39),
        pytest.param("tutorial001_py310", marks=needs_py310),
        "tutorial001_an",
        pytest.param("tutorial001_an_py39", marks=needs_py39),
        pytest.param("tutorial001_an_py310", marks=needs_py310),
    ],
)