// time when fresh disks were supplied, it is a two dimensional
		// array second dimension represents list of disks used per set.
		Sets [][]string `json:"sets"`
		// Distribution algorithm represents the hashing algorithm
		// to pick the right set index for an object.
		DistributionAlgo string `json:"distributionAlgo"`
	} `json:"xl"`
}

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

# Other core modules

延續前一個範例，通常會有不只一個彼此相關的模型。

對使用者模型尤其如此，因為：

* 「輸入模型」需要能包含密碼。
* 「輸出模型」不應包含密碼。
* 「資料庫模型」通常需要儲存雜湊後的密碼。

/// danger

切勿儲存使用者的明文密碼。務必只儲存可供驗證的「安全雜湊」。

若你還不清楚，稍後會在[安全性章節](security/simple-oauth2.md#password-hashing)學到什麼是「密碼雜湊」。

///

## 多個模型 { #multiple-models }

以下是模型大致長相、與其密碼欄位以及它們被使用的位置：

{* ../../docs_src/extra_models/tutorial001_py310.py hl[7,9,14,20,22,27:28,31:33,38:39] *}

   * value with {@code asBytes()} as the least-significant bytes and {@code 0x00} as the remaining
   * most-significant bytes.
   *
   * @since 14.0 (since 11.0 as {@code Hashing.padToLong(HashCode)})
   */
  public abstract long padToLong();

  /**
   * Returns the value of this hash code as a byte array. The caller may modify the byte array;

> **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

   * 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,

 * 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
  }

   * 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,

   *
   * <p>Implementations should be collections of pure functions (i.e. stateless).
   */
  interface Strategy extends Serializable {

    /**
     * Sets {@code numHashFunctions} bits of the given bit array, by hashing a user element.
     *
     * <p>Returns whether any bits changed as a result of this operation.
     */
    <T extends @Nullable Object> boolean put(
        @ParametricNullness T object,

        valueParser.parse(spec, key, value);
      }
    }

    return spec;
  }

  /** Returns a CacheBuilderSpec that will prevent caching. */
  public static CacheBuilderSpec disableCaching() {
    // Maximum size of zero is one way to block caching
    return CacheBuilderSpec.parse("maximumSize=0");
  }

  /** Returns a CacheBuilder configured according to this instance's specification. */