return Objects.equals(stringPart, that.stringPart) && Objects.equals(digitPart, that.digitPart);
        }

        @Override
        public int hashCode() {
            return Objects.hash(stringPart, digitPart);
        }

        @Override
        public String toString() {
            return stringPart.toString() + digitPart.toString();
        }
    }

    /**

   *
   * <p>This implementation tries to be smart in a number of ways. It recognizes cases where the
   * negation is cheaper to precompute than the matcher itself; it tries to build small hash tables
   * for matchers that only match a few characters, and so on. In the worst-case scenario, it
   * constructs an eight-kilobyte bit array and queries that. In many situations this produces a

         * @return the crawling depth
         */
        public int getDepth() {
            return depth;
        }

        @Override
        public int hashCode() {
            return Objects.hash(url);
        }

        @Override
        public boolean equals(final Object obj) {
            if (this == obj) {
                return true;
            }

    }

    @Override
    public int hashCode() {
      // Pattern uses Object.hashCode, so we have to reach
      // inside to build a hashCode consistent with equals.
      return Objects.hash(pattern.pattern(), pattern.flags());
    }

    @Override
    public boolean equals(@Nullable Object obj) {
      if (obj instanceof ContainsPatternPredicate) {

        // probably intended. So no point in using an equal-but-different factory argument.
        // We check twice to avoid confusion caused by accidental hash collision.
        equalArgs.set(i, shouldBeEqualArg);
      }
    }
    return equalArgs;
  }

  private static boolean hashCodeInsensitiveToArgReference(

            channelId, localIf.getAddress(), remoteIf.getAddress());
    }
    
    private void performChannelBinding(ChannelInfo channel) throws IOException {
        // Calculate channel binding hash
        byte[] bindingInfo = calculateBindingInfo(channel);
        byte[] bindingHash = calculateBindingHash(bindingInfo);
        channel.setBindingHash(bindingHash);
        

            this.highlightInfo = highlightInfo;
            return this;
        }

        /**
         * Sets the similar document hash for similarity search.
         *
         * @param similarDocHash the hash of the document to find similar documents to
         * @return this builder for method chaining
         */

labels.urlExpr=條件
labels.boostExpr=提升值表達式
labels.confirmPassword=確認
labels.crawler=爬蟲
labels.crudMode=模式
labels.errorCountMax=最大錯誤數
labels.errorCountMin=最小錯誤數
labels.facet=分面
labels.geo=地理
labels.groups=組
labels.hash=哈希
labels.kuromojiFile=Kuromoji檔案
labels.maxSize=最大大小
labels.order=順序
labels.purgeSuggestSearchLogDay=刪除以前的建議資訊
labels.q=查詢
labels.roles=角色
labels.suggestSearchLog=建議搜尋日誌
labels.suggestWord=建議詞

@method\n * @memberof Popper.Utils\n * @argument {String} placement\n * @returns {String} flipped placement\n */\nexport default function getOppositePlacement(placement) {\n  const hash = { left: 'right', right: 'left', bottom: 'top', top: 'bottom' };\n  return placement.replace(/left|right|bottom|top/g, matched => hash[matched]);\n}\n","import getOuterSizes from './getOuterSizes';\nimport getOppositePlacement from './getOppositePlacement';\n\n/**\n * Get offsets to the popper\n * @method\n * @memberof...

				partPath := pathJoin(object, srcDataDir, fmt.Sprintf("part.%d", partNumber))
				readers[i] = newBitrotReader(disk, copyPartsMetadata[i].Data, bucket, partPath, tillOffset, checksumAlgo,
					checksumInfo.Hash, erasure.ShardSize())
				prefer[i] = disk.Hostname() == ""
			}
			writers := make([]io.Writer, len(outDatedDisks))
			for i, disk := range outDatedDisks {
				if disk == OfflineDisk {
					continue
				}