그런 경우에는 일반적인 검증(예: 값이 `str`인지 검증한 뒤) 이후에 적용되는 **커스텀 검증 함수**를 사용할 수 있습니다.

`Annotated` 안에서 [Pydantic의 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator)를 사용하면 이를 구현할 수 있습니다.

/// tip | 팁

Pydantic에는 [BeforeValidator](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator)와 같은 다른 것들도 있습니다. 🤓

///

      contents: read  # for actions/checkout to fetch code
      security-events: write  # for github/codeql-action/analyze to upload SARIF results
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list
        # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']

    * Pydantic также позволяет представить его как "Кодировку разницы во времени ISO 8601", [см. документацию для получения дополнительной информации](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset`:
    * В запросах и ответах обрабатывается так же, как и `set`:
        * В запросах будет прочитан список, исключены дубликаты и преобразован в `set`.

//       purge:
//           # retainVersions: 0 # (default) delete all versions of the object. This option is the fastest.
//           # retainVersions: 5 # keep the latest 5 versions of the object.
//
//     - type: deleted # objects with delete marker as their latest version
//       name: NAME # match object names that satisfy the wildcard expression.
//       olderThan: 10h # match objects older than this value (e.g. 7d10h31s)

* `datetime.timedelta`:
    * 파이썬의 `datetime.timedelta`.
    * 요청과 응답에서 전체 초(seconds)의 `float`로 표현됩니다.
    * Pydantic은 "ISO 8601 time diff encoding"으로 표현하는 것 또한 허용합니다. [더 많은 정보는 문서를 확인하세요](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset`:
    * 요청과 응답에서 `set`와 동일하게 취급됩니다:
        * 요청 시, 리스트를 읽어 중복을 제거하고 `set`로 변환합니다.
        * 응답 시, `set`는 `list`로 변환됩니다.

### GNU/Linux and macOS

```sh
docker-compose pull
docker-compose up
```

or

```sh
docker stack deploy --compose-file docker-compose.yaml minio
```

            }
            if (suite.getParent() == null) {
                // per test task top level gradle test run suite finished
                if (getFailedTests().size() > 0) {
                    taskLogger.lifecycle("\nTests with failures:");
                    for (ErrorReportingTestListener.Descriptor failure : getFailedTests()) {
                        taskLogger.lifecycle(" - " + failure.getFullName());
                    }

    * O Pydantic também permite representá-lo como uma "codificação ISO 8601 diferença de tempo", [cheque a documentação para mais informações](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset`:
    * Em requisições e respostas, será tratado da mesma forma que um `set`:

name: Update Topic Repos

on:
  schedule:
    - cron: "0 12 1 * *"
  workflow_dispatch:

jobs:
  topic-repos:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:
      contents: write
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v6
      - name: Set up Python

Vous pouvez en lire davantage dans la [documentation d'installation de PyJWT](https://pyjwt.readthedocs.io/en/latest/installation.html).

///

## Hachage de mot de passe { #password-hashing }

« Hachage » signifie convertir un contenu (un mot de passe dans ce cas) en une séquence d'octets (juste une chaîne) qui ressemble à du charabia.