You can import it directly from `fastapi`:

```python
from fastapi import Depends
```

::: fastapi.Depends

## `Security()`

For many scenarios, you can handle security (authorization, authentication, etc.) with dependencies, using `Depends()`.

But when you want to also declare OAuth2 scopes, you can use `Security()` instead of `Depends()`.

You can import `Security()` directly from `fastapi`:

```python

- request (HTTP): 请求
- response (HTTP): 响应
- path operation: 路径操作
- path operation function: 路径操作函数

### `///` admonitions

1) Keep the admonition keyword in English (do not translate `note`, `tip`, etc.).
2) If a title is present, prefer these canonical titles:

- `/// tip | 提示`
- `/// note | 注意`
- `/// warning | 警告`
- `/// info | 信息`

# Static Files - `StaticFiles`

You can use the `StaticFiles` class to serve static files, like JavaScript, CSS, images, etc.

Read more about it in the [FastAPI docs for Static Files](https://fastapi.tiangolo.com/tutorial/static-files/).

You can import it directly from `fastapi.staticfiles`:

```python
from fastapi.staticfiles import StaticFiles
```

Ele também inclui o que mudou, como as validações agora são mais corretas e rigorosas, possíveis ressalvas, etc.

Você pode lê-lo para entender melhor o que mudou.

## Testes { #tests }

/**
 * CI support: this class contains gathered information and more from CI that Maven process runs on.
 *
 * @since 4.0.0
 */
public interface CIInfo {
    /**
     * Short distinct name of CI system: "GH", "Jenkins", etc.
     */
    @Nonnull
    String name();

    /**
     * May return a message that will be logged by Maven explaining why it was detected (and possibly more).
     */
    @Nonnull
    default String message() {

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

```sh
aws s3api put-object --bucket testbucket --key lockme --object-lock-mode GOVERNANCE --object-lock-retain-until-date "2019-11-20"  --body /etc/issue
```

See <https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lock-overview.html> for AWS S3 spec on object locking and permissions required for object retention and governance bypass overrides.

# Disable signature checking on pacman because we cannot initialize the keyring.
RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.mingw32 -Value 'SigLevel = Never'
RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.mingw64 -Value 'SigLevel = Never'
RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.msys -Value 'SigLevel = Never'

# Install pacman packages.
RUN C:\tools\msys64\usr\bin\bash.exe -lc \

  type: sqlite3
  config:
    file: examples/dex.db

# Configuration for the HTTP endpoints.
web:
  http: 0.0.0.0:5556
  # Uncomment for HTTPS options.
  # https: 127.0.0.1:5554
  # tlsCert: /etc/dex/tls.crt
  # tlsKey: /etc/dex/tls.key

  # Configuration for telemetry
  telemetry:
    http: 0.0.0.0:5558

# Uncomment this block to enable configuration for the expiration time durations.
expiry:
  signingKeys: "3h"

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// info | Informação