String convert(CaseFormat format, String s) {
    // deal with camel conversion
    StringBuilder out = null;
    int i = 0;
    int j = -1;
    while ((j = wordBoundary.indexIn(s, ++j)) != -1) {
      if (i == 0) {
        // include some extra space for separators
        out = new StringBuilder(s.length() + 4 * format.wordSeparator.length());

  String convert(CaseFormat format, String s) {
    // deal with camel conversion
    StringBuilder out = null;
    int i = 0;
    int j = -1;
    while ((j = wordBoundary.indexIn(s, ++j)) != -1) {
      if (i == 0) {
        // include some extra space for separators
        out = new StringBuilder(s.length() + 4 * format.wordSeparator.length());

    }

    @CanIgnoreReturnValue
    String consumeTokenIfPresent(CharMatcher matcher) {
      checkState(hasMore());
      int startPosition = position;
      position = matcher.negate().indexIn(input, startPosition);
      return hasMore() ? input.substring(startPosition, position) : input.substring(startPosition);
    }

    String consumeToken(CharMatcher matcher) {
      int startPosition = position;

    }

    @CanIgnoreReturnValue
    String consumeTokenIfPresent(CharMatcher matcher) {
      checkState(hasMore());
      int startPosition = position;
      position = matcher.negate().indexIn(input, startPosition);
      return hasMore() ? input.substring(startPosition, position) : input.substring(startPosition);
    }

    String consumeToken(CharMatcher matcher) {
      int startPosition = position;

    for (int index = 0; index <= 100; index++) {
      indexes.add(index);
      expectedBuilder.put(index, expectedLargeDatasetPercentile(index));
    }
    Random random = new Random(770683168895677741L);
    Collections.shuffle(indexes, random);
    assertThat(percentiles().indexes(Ints.toArray(indexes)).computeInPlace(dataset))
        .comparingValuesUsing(QUANTILE_CORRESPONDENCE)

    for (int index = 0; index <= 100; index++) {
      indexes.add(index);
      expectedBuilder.put(index, expectedLargeDatasetPercentile(index));
    }
    Random random = new Random(770683168895677741L);
    Collections.shuffle(indexes, random);
    assertThat(percentiles().indexes(Ints.toArray(indexes)).computeInPlace(dataset))
        .comparingValuesUsing(QUANTILE_CORRESPONDENCE)

									<c:forEach var="item" varStatus="s" items="${popularWords}">
										<c:if test="${s.index < 3}">
											<la:link
												href="/search?q=${f:u(item)}${fe:facetQuery()}${fe:geoQuery()}">${f:h(item)}</la:link>
										</c:if>
										<c:if test="${3 <= s.index}">
											<la:link styleClass="d-none d-sm-inline-block"

import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.common.lucene.search.function.CombineFunction;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.opensearch.index.query.functionscore.ScoreFunctionBuilders;
import org.opensearch.search.sort.SortBuilders;

import jakarta.annotation.PostConstruct;

    });
```

## Advanced Usage

### Index from Existing Documents

```java
import org.codelibs.fess.suggest.index.contents.document.ESSourceReader;

// Index suggestions from existing Elasticsearch documents
DocumentReader reader = new ESSourceReader(
    client,
    suggester.settings(),
    "content-index",        // source index
    "document"             // document type
);

    }

    /**
     * Indexes a single suggest item.
     * @param item The suggest item to index.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse index(final SuggestItem item) {
        return index(new SuggestItem[] { item });
    }

    /**
     * Indexes multiple suggest items.
     * @param items The suggest items to index.
     * @return The SuggestIndexResponse.