key[i] = (byte) i;
      int seed = 256 - i;
      byte[] hash = hashFunction.hash(Arrays.copyOf(key, i), seed);
      System.arraycopy(hash, 0, hashes, i * hashBytes, hash.length);
    }

    // Then hash the result array
    byte[] result = hashFunction.hash(hashes, 0);

    // interpreted in little-endian order.
    int verification = Integer.reverseBytes(Ints.fromByteArray(result));

    if (expected != verification) {

    assertThat(c.asMap().computeIfAbsent("hash-1", k -> "")).isEqualTo("");
    assertThat(c.asMap().computeIfAbsent("hash-1", k -> "")).isEqualTo("");
    assertThat(c.asMap().computeIfAbsent("hash-1", k -> "")).isEqualTo("");
    assertThat(c.size()).isEqualTo(1);
    assertThat(c.asMap().computeIfAbsent("hash-2", k -> "")).isEqualTo("");
  }

  public void testComputeEviction() {
    // b/80241237

    private @Nullable K key;
    private final int hash;
    private final ReferenceEntry<K, V> next;

    public DummyEntry(K key, int hash, ReferenceEntry<K, V> next) {
      this.key = key;
      this.hash = hash;
      this.next = next;
    }

    public static <K, V> DummyEntry<K, V> create(
        K key, int hash, @Nullable ReferenceEntry<K, V> next) {

    private @Nullable K key;
    private final int hash;
    private final ReferenceEntry<K, V> next;

    public DummyEntry(K key, int hash, ReferenceEntry<K, V> next) {
      this.key = key;
      this.hash = hash;
      this.next = next;
    }

    public static <K, V> DummyEntry<K, V> create(
        K key, int hash, @Nullable ReferenceEntry<K, V> next) {

    /**
     * Checks the whole hash table for poor hash distribution. Takes O(n) in the worst case, O(n /
     * log n) on average.
     *
     * <p>The online hash flooding detecting in RegularSetBuilderImpl.add can detect e.g. many
     * exactly matching hash codes, which would cause construction to take O(n^2), but can't detect

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertThat(segment.get(key, hash)).isNull();
    assertFalse(segment.containsKey(key, hash));
    assertFalse(segment.containsValue(value));

    // count == 1
    segment.count++;
    assertSame(value, segment.get(key, hash));
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));

    // count == 0
    segment.setTableEntryForTesting(index, entry);
    assertThat(segment.get(key, hash)).isNull();
    assertFalse(segment.containsKey(key, hash));
    assertFalse(segment.containsValue(value));

    // count == 1
    segment.count++;
    assertSame(value, segment.get(key, hash));
    assertTrue(segment.containsKey(key, hash));
    assertTrue(segment.containsValue(value));

            }
        }

        final String targetUrl = pathMappingHelper.replaceUrl(url);

        String hash;
        if (StringUtil.isNotBlank(form.hash)) {
            final String value = URLUtil.decode(form.hash, Constants.UTF_8);
            if (targetUrl.indexOf('#') == -1) {
                final StringBuilder buf = new StringBuilder(value.length() + 100);

    //                                                                      ==============
    @Override
    public String toString() {
        final String hash = Integer.toHexString(hashCode());
        return DfTypeUtil.toClassTitle(this) + ":{acceptCookieLocale=" + isAcceptCookieLocale() + "}@" + hash;
    }

                }
            }
        }
        return hash;
    }

    /**
     * Encodes a similar document hash using GZIP compression and Base64 encoding.
     * This reduces storage space for hash values while maintaining uniqueness.
     *
     * @param hash the hash string to encode