Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives


        There is always *some* alternative to adding a new feature to Guava, even if it's just
        forking Guava yourself.

#### Das Problem beheben mittels `secrets.compare_digest()` { #fix-it-with-secrets-compare-digest }

Aber in unserem Code verwenden wir tatsächlich `secrets.compare_digest()`.

- github.com/google/uuid: [v1.1.2 → v1.3.0](https://github.com/google/uuid/compare/v1.1.2...v1.3.0)
- github.com/kr/pretty: [v0.2.1 → v0.3.0](https://github.com/kr/pretty/compare/v0.2.1...v0.3.0)
- github.com/rogpeppe/go-internal: [v1.3.0 → v1.6.1](https://github.com/rogpeppe/go-internal/compare/v1.3.0...v1.6.1)
- github.com/vmware/govmomi: [v0.20.3 → v0.30.0](https://github.com/vmware/govmomi/compare/v0.20.3...v0.30.0)

### Removed
_Nothing has changed._

## Introduction

MinIO provides a custom STS API that allows authentication with client X.509 / TLS certificates.

abstract class AbstractFutureState<V extends @Nullable Object> extends InternalFutureFailureAccess
    implements ListenableFuture<V> {
  /**
   * Performs a {@linkplain java.lang.invoke.VarHandle#compareAndSet compare-and-set} operation on
   * {@link #listenersField}.
   */
  final boolean casListeners(@Nullable Listener expect, Listener update) {
    return ATOMIC_HELPER.casListeners(this, expect, update);
  }

  /**

# Alternatives, Inspiration and Comparisons { #alternatives-inspiration-and-comparisons }

What inspired **FastAPI**, how it compares to alternatives and what it learned from them.

## Intro { #intro }

**FastAPI** wouldn't exist if not for the previous work of others.

There have been many tools created before that have helped inspire its creation.

Ce « attendre quelque chose d'autre » fait généralement référence à des opérations <abbr title="Input and Output - Entrées et sorties">I/O</abbr> qui sont relativement « lentes » (comparées à la vitesse du processeur et de la mémoire RAM) telles qu'attendre que :

* de la donnée soit envoyée par le client à travers le réseau
* de la donnée envoyée depuis votre programme soit reçue par le client à travers le réseau

 * function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *

     * <li>{@code repo,repo1} = {@code repo} or {@code repo1},</li>
     * <li>{@code *,!repo1} = everything except {@code repo1}.</li>
     * </ul>
     *
     * @param originalRepository to compare for a match.
     * @param pattern used for match.
     * @return true if the repository is a match to this pattern.
     */
    static boolean matchPattern(ArtifactRepository originalRepository, String pattern) {

#### **专业**攻击 { #a-professional-attack }

当然，攻击者不用手动操作，而是编写每秒能执行成千上万次测试的攻击程序，每次都会找到更多正确字符。

但是，在您的应用的**帮助**下，攻击者利用时间差，就能在几分钟或几小时内，以这种方式猜出正确的用户名和密码。

#### 使用 `secrets.compare_digest()` 修补 { #fix-it-with-secrets-compare-digest }

在此，代码中使用了 `secrets.compare_digest()`。

简单的说，它使用相同的时间对比 `stanleyjobsox` 和 `stanleyjobson`，还有 `johndoe` 和 `stanleyjobson`。对比密码时也一样。

在代码中使用 `secrets.compare_digest()` ，就可以安全地防御这整类安全攻击。