* if any intersection is found. The sizes of both arguments are assumed to be so small, and the
 * likelihood of an intersection so great, that it is not worth the CPU cost of sorting or the
 * memory cost of hashing.
 */
internal fun Array<String>.hasIntersection(
  other: Array<String>?,
  comparator: Comparator<in String>,
): Boolean {
  if (isEmpty() || other == null || other.isEmpty()) {
    return false
  }

platforms/core-execution/build-cache-packaging/             @gradle/bt-cortex @gradle/dv-integrations-team
platforms/core-execution/build-cache-spi/                   @gradle/bt-cortex @gradle/dv-integrations-team
platforms/core-execution/hashing/                           @gradle/bt-cortex @gradle/dv-integrations-team
platforms/core-execution/snapshots/                         @gradle/bt-cortex @gradle/dv-integrations-team

# Other core modules

Nunca armazene senhas em texto simples dos usuários. Sempre armazene uma "hash segura" que você pode verificar depois.

Se não souber, você aprenderá o que é uma "senha hash" nos [capítulos de segurança](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

## Múltiplos modelos

Aqui está uma ideia geral de como os modelos poderiam parecer com seus campos de senha e os lugares onde são usados:

Никогда не храните пароли пользователей в чистом виде. Всегда храните "безопасный хэш", который вы затем сможете проверить.

Если вам это не знакомо, вы можете узнать про "хэш пароля" в [главах о безопасности](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

## Множественные модели

Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:

> **NOTE:** **Each pool you add must have the same erasure coding parity configuration as the original pool, so the same data redundancy SLA is maintained.**

## 3. Test your setup

          .put(3, 0x9fcc3c3fde4d5ff7L)
          .put(2, 0x090966a836e5fa4bL)
          .put(1, 0x8199675ecaa6fe64L)
          .put(0, 0x23ad7c904aa665e3L)
          .build();
  private static final HashFunction HASH_FN = Hashing.fingerprint2011();

  // If this test fails, all bets are off
  @SuppressWarnings("InlineMeInliner") // String.repeat unavailable under Java 8
  public void testReallySimpleFingerprints() {

Speichern Sie niemals das Klartext-Passwort eines Benutzers. Speichern Sie immer den „sicheren Hash“, den Sie verifizieren können.

Falls Ihnen das nichts sagt, in den [Sicherheits-Kapiteln](security/simple-oauth2.md#passwort-hashing){.internal-link target=_blank} werden Sie lernen, was ein „Passwort-Hash“ ist.

///

## Mehrere Modelle

/// danger

Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

## Multiple models { #multiple-models }

Here's a general idea of how the models could look like with their password fields and the places where they are used:

   * can hold setSize elements with the desired load factor. Always returns at least setSize + 2.
   */
  // TODO(cpovirk): Move to Hashing or something, since it's used elsewhere in the Android version.
  static int chooseTableSize(int setSize) {
    setSize = max(setSize, 2);
    // Correct the size for open addressing to match desired load factor.

   * holds the lock. If a hashed slot is empty, and lock is
   * available, a new Cell is created. Otherwise, if the slot
   * exists, a CAS is tried.  Retries proceed by "double hashing",
   * using a secondary hash (Marsaglia XorShift) to try to find a
   * free slot.
   *
   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,