if (bitsField != null && !bitsField.getValues().isEmpty()) {
                                    docMap.put(fessConfig.getQueryCollapseInnerHitsName() + "_hash", bitsField.getValues().get(0));
                                }
                                docMap.put(fessConfig.getQueryCollapseInnerHitsName(), StreamUtil.stream(innerSearchHits.getHits())

      return HashBiMap.this.containsKey(o);
    }

    @Override
    public boolean remove(@Nullable Object o) {
      int oHash = Hashing.smearedHash(o);
      int entry = findEntryByKey(o, oHash);
      if (entry != ABSENT) {
        removeEntryKeyHashKnown(entry, oHash);
        return true;
      } else {
        return false;
      }
    }
  }

  @LazyInit private transient Set<V> valueSet;

    /**
     * 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

        String hash = "01010101010101010101010101010101";
        String value = "$H4sIAAAAAAAA_zMwNMALAXC7sg0gAAAA";
        assertEquals(value, documentHelper.encodeSimilarDocHash(hash));
        hash = "00101010010010100100101010001010";
        value = "$H4sIAAAAAAAA_zMwMARDCELQQApMAgAi5-3LIAAAAA";
        assertEquals(value, documentHelper.encodeSimilarDocHash(hash));

   *       y}, if {@code equivalent(x, y)}, then {@code hash(x) == hash(y)}. It is <i>not</i>
   *       necessary that the hash be distributable across <i>inequivalence</i>. If {@code
   *       equivalence(x, y)} is false, {@code hash(x) == hash(y)} may still be true.
   *   <li>{@code hash(null)} is {@code 0}.
   * </ul>
   */
  public final int hash(@Nullable T t) {
    if (t == null) {
      return 0;
    }

        itemInfo,
        relatedInfo,
        equivalence.equivalent(item, related));

    int itemHash = equivalence.hash(item);
    int relatedHash = equivalence.hash(related);
    assertWithTemplate(
        "the $HASH ("
            + itemHash
            + ") of $ITEM must be equal to the $HASH ("
            + relatedHash
            + ") of $OTHER",
        itemInfo,
        relatedInfo,

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

      assertTrue(item + " must be equivalent to itself", equivalence.equivalent(item, item));
      assertEquals(
          "the hash of " + item + " must be consistent",
          equivalence.hash(item),
          equivalence.hash(item));
    }
  }

            return false;
        }
        return object1.equals(object2);
    }

    /**
     * Returns the hash code of the specified object, or 0 if the object is null.
     *
     * @param obj the object
     * @return the hash code or 0
     */
    public static int hashCode(final Object obj) {
        return obj == null ? 0 : obj.hashCode();
    }

    /**

    return (bits + 31) & ~31;
  }

  /**
   * Returns a hash function which computes its hash code by concatenating the hash codes of the
   * underlying hash functions together. This can be useful if you need to generate hash codes of a
   * specific length.
   *
   * <p>For example, if you need 1024-bit hash codes, you could join two {@link Hashing#sha512} hash