@Override
  public Hasher newHasher() {
    return new SipHasher(c, d, k0, k1);
  }

  // TODO(kak): Implement and benchmark the hashFoo() shortcuts.

  @Override
  public String toString() {
    return "Hashing.sipHash" + c + "" + d + "(" + k0 + ", " + k1 + ")";
  }

  @Override
  public boolean equals(@CheckForNull Object object) {
    if (object instanceof SipHashFunction) {

/// 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

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

//// tab | Python 3.10+

 * 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
  }

> **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
  public void testReallySimpleFingerprints() {
    assertEquals(8473225671271759044L, fingerprint("test".getBytes(UTF_8)));
    // 32 characters long

    Map<K, Collection<V>> result = asMap;
    return (result == null) ? asMap = createAsMap() : result;
  }

  abstract Map<K, Collection<V>> createAsMap();

  // Comparison and hashing

  @Override
  public boolean equals(@CheckForNull Object object) {
    return Multimaps.equalsImpl(this, object);
  }

  /**
   * Returns the hash code for this multimap.
   *

    "path": "platforms/core-configuration/guava-serialization-codecs",
    "unitTests": false,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "hashing",
    "path": "platforms/core-execution/hashing",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "ide",
    "path": "platforms/ide/ide",
    "unitTests": true,

		// 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"`
}

import org.opensearch.search.SearchHits;
import org.opensearch.search.sort.SortBuilder;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.google.common.hash.HashFunction;
import com.google.common.hash.Hashing;

import jakarta.annotation.Resource;

public abstract class AbstractCrawlerService {
    private static final Logger logger = LoggerFactory.getLogger(AbstractCrawlerService.class);

书接上文，多个关联模型这种情况很常见。

特别是用户模型，因为：

* **输入模型**应该含密码
* **输出模型**不应含密码
* **数据库模型**需要加密的密码

/// danger | "危险"

千万不要存储用户的明文密码。始终存储可以进行验证的**安全哈希值**。

如果不了解这方面的知识，请参阅[安全性中的章节](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}，了解什么是**密码哈希**。

///

## 多个模型

下面的代码展示了不同模型处理密码字段的方式，及使用位置的大致思路：

//// tab | Python 3.10+

```Python hl_lines="7  9  14  20  22  27-28  31-33  38-39"