//  "key encipherment", "key agreement", "data encipherment",
  //  "cert sign", "crl sign", "encipher only", "decipher only", "any",
  //  "server auth", "client auth",
  //  "code signing", "email protection", "s/mime",
  //  "ipsec end system", "ipsec tunnel", "ipsec user",
  //  "timestamping", "ocsp signing", "microsoft sgc", "netscape sgc"
  // +listType=atomic
  repeated string usages = 5;

UserInDB(
    username="john",
    password="secret",
    email="******@****.***",
    full_name=None,
)
```

Или, если для большей точности мы напрямую используем `user_dict` с любым потенциальным содержимым, то этот пример будет выглядеть так:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],
)
```

    * فیلد های رشته (`str`)، به همراه مشخص سازی حداقل و حداکثر طول رشته.
    * اعداد (‍‍`int`,`float`) با حداقل و حداکثر مقدار و غیره.

* اعتبارسنجی برای تایپ های عجیب تر، مثل:
    * URL.
    * Email.
    * UUID.
    * و غیره.

تمام اعتبارسنجی ها توسط کتابخانه اثبات شده و قدرتمند **Pydantic** انجام میشود.

### <abbr title="Security and authentication">امنیت و احراز هویت</abbr>

<img src="/img/tutorial/security/image08.png">

Rufen Sie den Endpunkt `/users/me/` auf, Sie erhalten die Response:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

<img src="/img/tutorial/security/image09.png">

Wybierz opcję "Tylko wydania".

Dzięki temu będziesz otrzymywać powiadomienia (na swój adres e-mail) za każdym razem, gdy pojawi się nowe wydanie (nowa wersja) **FastAPI** z poprawkami błędów i nowymi funkcjami.

## Skontaktuj się z autorem

    // list, it cannot be removed from it. Hence, foo is here.
    assertThat(hpackReader!!.getAndResetHeaderList()).isEqualTo(headerBlock)

    // Simulate receiving a small dynamic table size update, that implies eviction.
    bytesIn.writeByte(0x3F) // Dynamic table size update (size = 55).
    bytesIn.writeByte(0x18)
    hpackReader!!.readHeaders()

        "//tensorflow/core/platform:status",
        "@com_google_absl//absl/container:flat_hash_set",
    ],
)

tf_cuda_cc_test(
    name = "gradients_test",
    size = "small",
    srcs = [
        "gradients_test.cc",
    ],
    args = ["--heap_check="],
    tags = tf_cuda_tests_tags() + ["nomac"],
    deps = [
        ":abstract_context",
        ":abstract_tensor_handle",

    * campos String (`str`), definindo tamanho mínimo e máximo.
    * Numbers (`int`, `float`) com valores mínimos e máximos, etc.

* Validação de tipos mais exóticos, como:
    * URL.
    * Email.
    * UUID.
    * ...e outros.

Toda a validação é controlada pelo robusto e bem estabelecido **Pydantic**.

### Segurança e autenticação

    * Champs String (`str`), définition de longueur minimum ou maximale.
    * Nombres (`int`, `float`) avec valeur minimale and maximale, etc.

* Validation pour des types plus exotiques, tel que:
    * URL.
    * Email.
    * UUID.
    * ...et autres.

Toutes les validations sont gérées par le bien établi et robuste **Pydantic**.

### Sécurité et authentification

Keep in mind that this means that the whole contents will be stored in memory. This will work well for small files.

But there are several cases in which you might benefit from using `UploadFile`.

## File Parameters with `UploadFile`

Define a file parameter with a type of `UploadFile`:

=== "Python 3.9+"