title: '${{ github.event.inputs.release_branch }} cherry-pick: ${{ steps.cherrypick.outputs.SHORTSHA }} "${{ steps.cherrypick.outputs.TITLE }}"'
        committer: TensorFlow Release Automation <******@****.***>
        token: ${{ secrets.JENKINS_TOKEN }}
        base: ${{ github.event.inputs.release_branch }}
        branch: ${{ github.event.inputs.release_branch }}-${{ steps.cherrypick.outputs.SHORTSHA }}
        reviewers: learning-to-play

jobs:
  changes:
    runs-on: ubuntu-latest
    # Required permissions
    permissions:
      pull-requests: read
    # Set job outputs to values from filter step
    outputs:
      docs: ${{ steps.filter.outputs.docs }}
    steps:
    - uses: actions/checkout@v6
    # For pull requests it's not necessary to checkout the code but for the main branch it is
    - uses: dorny/paths-filter@v4
      id: filter
      with:

/// note | Remarque

Remarquez l'en-tête `Authorization`, avec une valeur qui commence par `Bearer `.

///

## Utilisation avancée avec `scopes` { #advanced-usage-with-scopes }

OAuth2 comporte la notion de « scopes ».

Vous pouvez les utiliser pour ajouter un ensemble spécifique d'autorisations à un jeton JWT.

<img src="/img/tutorial/security/image10.png">

/// note | 참고

`Bearer `로 시작하는 값을 가진 `Authorization` 헤더에 주목하십시오.

///

## `scopes`의 고급 사용법 { #advanced-usage-with-scopes }

OAuth2에는 "scopes"라는 개념이 있습니다.

이를 사용해 JWT 토큰에 특정 권한 집합을 추가할 수 있습니다.

그런 다음 이 토큰을 사용자에게 직접 제공하거나 제3자에게 제공하여, 특정 제한사항 하에서 API와 상호작용하도록 할 수 있습니다.

    mockWebServer.start(slackApi.port);
  }

  public HttpUrl newAuthorizeUrl(String scopes, String team, Listener listener) {
    if (mockWebServer == null) throw new IllegalStateException();

    ByteString state = randomToken();
    synchronized (this) {
      listeners.put(state, listener);
    }

    return slackApi.authorizeUrl(scopes, redirectUrl(), state, team);
  }

  private ByteString randomToken() {

/**
 * Meta-annotation that marks other annotations as scope annotations.
 * <p>
 * Scopes define the lifecycle and visibility of objects in the dependency injection
 * system. Custom scope annotations should be annotated with {@code @Scope}.
 * <p>
 * Built-in scopes include:
 * <ul>
 *   <li>{@link Singleton} - One instance per container</li>

 * to be lightweight yet powerful, supporting various scopes of object lifecycle from
 * singleton instances to mojo-execution-scoped beans.
 * <p>
 * Key features include:
 * <ul>
 *   <li>Constructor, method, and field injection</li>
 *   <li>Qualifiers for distinguishing between beans of the same type</li>
 *   <li>Multiple scopes (Singleton, Session, and MojoExecution)</li>

 * Iterator#remove} operations. This utility takes the brute-force approach of trying <i>all</i>
 * possible sequences of these operations, up to a given number of steps. So, if the caller
 * specifies to use <i>n</i> steps, a total of <i>3^n</i> tests are actually performed.
 *
 * <p>For instance, if <i>steps</i> is 5, one example sequence that will be tested is:
 *
 * <ol>
 *   <li>remove();
 *   <li>hasNext()
 *   <li>hasNext();
 *   <li>remove();

from inline_snapshot import snapshot
from pydantic import BaseModel

app = FastAPI()

reusable_oauth2 = OAuth2(
    flows={
        "password": {
            "tokenUrl": "token",
            "scopes": {"read:users": "Read the users", "write:users": "Create users"},
        }
    },
    auto_error=False,
)


class User(BaseModel):
    username: str

import org.apache.logging.log4j.Logger;
import org.codelibs.fess.helper.SearchLogHelper;
import org.codelibs.fess.util.ComponentUtil;

/**
 * Job for aggregating and storing search logs.
 * This job processes search logs and stores them in the search log repository.
 */
public class AggregateLogJob {

    private static final Logger logger = LogManager.getLogger(AggregateLogJob.class);

    /**
     * Default constructor.
     */