return getEntry(index);
        }
      };
    }

    @Override
    @GwtIncompatible("Spliterator")
    Spliterator<Entry<K, V>> entrySpliterator() {
      return CollectSpliterators.indexed(
          size(), Spliterator.ORDERED | Spliterator.DISTINCT | Spliterator.NONNULL, this::getEntry);
    }

    // TODO(lowasser): consider an optimized values() implementation

    @Override

			this._values = [ // JS values that Go currently has references to, indexed by reference id
				NaN,
				0,
				null,
				true,
				false,
				globalThis,
				this,
			];
			this._goRefCounts = new Array(this._values.length).fill(Infinity); // number of references that Go has to a JS value, indexed by reference id
			this._ids = new Map([ // mapping from JS values to reference ids
				[0, 1],

);

suggester.indexer()
    .indexFromDocument(reader, 2, 100)  // threads=2, batch=100
    .getResponse();
```

### Index from Query Logs

```java
import org.codelibs.fess.suggest.index.contents.querylog.QueryLog;

// Add suggestions from search query logs
QueryLog queryLog = new QueryLog("user search query", "user123");
suggester.indexer().indexFromQueryLog(queryLog);
```

	// map of heal path to heal sequence
	healSeqMap map[string]*healSequence // Indexed by endpoint
	// keep track of the healing status of disks in the memory
	//   false: the disk needs to be healed but no healing routine is started
	//    true: the disk is currently healing
	healLocalDisks map[Endpoint]bool
	healStatus     map[string]healingTracker // Indexed by disk ID
}

// newHealState - initialize global heal state management

    protected AtomicLong documentSize = new AtomicLong(0);

    /** Total execution time for all operations */
    protected volatile long executeTime = 0;

    /** List of documents waiting to be indexed */
    protected final DocList docList = new DocList();

    /** Maximum size of document requests in bytes */
    protected long maxDocumentRequestSize;

    /** Maximum number of documents to cache before indexing */

        if (ComponentUtil.getFessConfig().isSuggestDocuments()) {
            final CountDownLatch latch = new CountDownLatch(1);

            logger.info("Parsing words from indexed documents.");
            suggestHelper.indexFromDocuments(ret -> {
                logger.info("Success indexing from documents.");
                latch.countDown();
            }, t -> {

        return u * v / a;
    }

    /**
     * Calculates a MAC (Message Authentication Code) for PAC data validation.
     * @param type the checksum type to use
     * @param keys map of available Kerberos keys indexed by encryption type
     * @param data the data to calculate the MAC for
     * @return the calculated mac bytes
     * @throws PACDecodingException if the MAC calculation fails or required keys are missing
     */

    /**
     * Constructs KerberosEncData from encrypted token bytes.
     *
     * @param token the encrypted Kerberos token
     * @param keys map of encryption keys indexed by key type
     * @throws PACDecodingException if decoding fails
     */
    public KerberosEncData(byte[] token, Map<Integer, KerberosKey> keys) throws PACDecodingException {

     */
    @Size(max = 10)
    public String suggestSearchLog;

    /**
     * Enable or disable search suggestions based on document content.
     * When enabled, suggestions are generated from indexed documents.
     */
    @Size(max = 10)
    public String suggestDocuments;

    /**
     * Number of days to keep suggestion search logs before purging.

    /** Logger instance for this factory class. */
    private static final Logger logger = LogManager.getLogger(DataStoreFactory.class);

    /**
     * Map containing registered data store instances indexed by their names and class simple names.
     * All keys are stored in lowercase for case-insensitive lookup.
     */
    protected Map<String, DataStore> dataStoreMap = new LinkedHashMap<>();

    /**