final Map<String, Object> secondLine = new HashMap<>();

        secondLine.put("text", item.getText());

        // reading
        final String[][] readings = item.getReadings();
        for (int i = 0; i < readings.length; i++) {
            secondLine.put("reading_" + i, readings[i]);
        }

        secondLine.put("fields", item.getFields());
        secondLine.put("queryFreq", item.getQueryFreq());

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

        assertEquals(0, nullValues.length);
    }

    @Test
    public void test_parseSearchWords() throws Exception {
        String[] words = new String[] { "検索", "エンジン" };
        String[][] readings = new String[][] { new String[] { "kensaku" }, new String[] { "enjin" } };
        String[] fields = new String[] { "content" };
        String[] tags = new String[] { "tag1" };
        String[] roles = new String[] { "role1" };

            super(term, position, startOffset, endOffset, positionIncrement, type, attributes);
        }

        public String getReading() {
            return reading;
        }

        public void setReading(String reading) {
            this.reading = reading;
        }
    }

 *
 * <p>
 * This class implements the {@link ReadingConverter} interface and provides a method to convert a given
 * Katakana string into a list of possible Alphabet readings. It uses a predefined mapping of Katakana
 * characters to their Alphabet equivalents, handling both single and double Katakana character combinations.
 * </p>
 *
 * <p>

 * A chain of {@link ReadingConverter} implementations that applies each converter in sequence to generate possible reading variations of a given text.
 * It maintains a list of ReadingConverter instances and iterates through them, applying each converter to the input text and accumulating the results.
 * The chain stops processing when the maximum number of readings is reached.
 */
public class ReadingConverterChain implements ReadingConverter {
    /**

### SuggestItem (Domain Entity)
Location: `src/main/java/org/codelibs/fess/suggest/entity/SuggestItem.java`

Core attributes: `text`, `timestamp`, `queryFreq`, `docFreq`, `userBoost`, `readings`, `tags`, `roles`, `languages`, `kinds`

Kind types: `DOCUMENT`, `QUERY`, `USER`

---

## Development Workflow

### Build Commands

```bash

     * @param srcIndex the starting index in the source array
     * @return the 64-bit integer value
     */
    public static long readInt8(final byte[] src, final int srcIndex) {
        return (readInt4(src, srcIndex) & 0xFFFFFFFFL) + ((long) readInt4(src, srcIndex + 4) << 32);
    }

    /**
     * Writes a 64-bit integer value to a byte array in little-endian format
     * @param val the value to write

    }

    @Test
    public void testCreateBulkLineWithMultipleReadings() {
        // Test with multiple reading levels
        SuggestItem item = new SuggestItem(new String[] { "test" },
                new String[][] { { "reading1a", "reading1b" }, { "reading2a", "reading2b" }, { "reading3" } }, new String[] { "field1" }, 5,

        assertEquals(0, SMBUtil.readInt4(buffer, 0));

        // NameOffset field (2 bytes) - should be 16 (after header)
        assertEquals(16, SMBUtil.readInt2(buffer, 4));

        // NameLength field (2 bytes) - should be 4 for "RqLs"
        assertEquals(4, SMBUtil.readInt2(buffer, 6));

        // Reserved field (2 bytes) - should be 0
        assertEquals(0, SMBUtil.readInt2(buffer, 8));