String[][] readings = new String[1][];
        readings[0] = new String[] { "word1" };
        items.add(new SuggestItem(new String[] { "word1" }, readings, new String[] { "content" }, 0, 10, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.QUERY));

    /**
     * Analyzes the given text and returns a list of tokens along with their readings.
     *
     * @param text the text to analyze
     * @param field the field associated with the text
     * @param lang the language of the text
     * @return a list of analyzed tokens with their readings
     */
    List<AnalyzeToken> analyzeAndReading(String text, String field, String lang);

    }

    /**
     * Merges readings at a specific index from two reading arrays.
     */
    private static String[] mergeReadings(final String[][] readings1, final String[][] readings2, final int index) {
        final List<String> merged = new ArrayList<>();

        if (readings1.length > index && readings1[index] != null) {
            Collections.addAll(merged, readings1[index]);
        }

        // Good item
        String[][] readings1 = new String[1][];
        readings1[0] = new String[] { "good" };
        items[0] = new SuggestItem(new String[] { "good" }, readings1, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT);

        // Bad item
        String[][] readings2 = new String[1][];

            final boolean apply) {
        final String[] readings;
        if (StringUtil.isBlank(reading)) {
            readings = word.replace("　", TEXT_SEP).replaceAll(TEXT_SEP + "+", TEXT_SEP).split(TEXT_SEP);
        } else {
            readings = reading.replace("　", TEXT_SEP).replaceAll(TEXT_SEP + "+", TEXT_SEP).split(TEXT_SEP);
        }

        final List<String> labelList = new ArrayList<>();
        if (tags != null) {

            final List<String> roles = (List<String>) sourceArray[i].get(ELEVATE_WORD_ROLES);
            if (elevateWord != null && boost != null && readings != null && fields != null) {
                elevateWords[i] =
                        new ElevateWord(elevateWord.toString(), Float.parseFloat(boost.toString()), readings, fields, tags, roles);
            }
        }
        return elevateWords;
    }

    /**
     * Add an elevate word.

```

#### 2. Add Suggestion Documents

```java
import org.codelibs.fess.suggest.entity.SuggestItem;

// Create suggestion item with text, readings, and metadata
String[][] readings = new String[2][];
readings[0] = new String[]{"kensaku", "engine"};
readings[1] = new String[]{"search", "injin"};

String[] tags = new String[]{"technology", "search"};
String[] roles = new String[]{"admin", "user"};

        SuggestItem[] items = new SuggestItem[3];
        for (int i = 0; i < 3; i++) {
            String[][] readings = new String[1][];
            readings[0] = new String[] { "query" + i };
            items[i] = new SuggestItem(new String[] { "クエリ" + i }, readings, new String[] { "content" }, 0, 15 + i, -1,

        // Multiple spaces should be collapsed to single space
        assertTrue("Should query reading_0", queryString.contains("reading_0"));
        assertTrue("Should query reading_1", queryString.contains("reading_1"));
        // Should NOT have reading_2 (spaces collapsed)
        assertFalse("Should not have reading_2", queryString.contains("reading_2"));
    }

    @Test
    public void test_buildQuery_withNormalizer() {

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * An object that accurately measures <i>elapsed time</i>: the measured duration between two
 * successive readings of "now" in the same process.
 *
 * <p>In contrast, <i>wall time</i> is a reading of "now" as given by a method like
 * {@link System#currentTimeMillis()}, best represented as an {@link java.time.Instant}. Such values