*
     * @param elevateWord the elevate word
     * @param boost the boost value
     * @param readings the list of readings
     * @param fields the list of fields
     * @param tags the list of tags
     * @param roles the list of roles
     */
    public ElevateWord(final String elevateWord, final float boost, final List<String> readings, final List<String> fields,
            final List<String> tags, final List<String> roles) {

        queryItems[0] = new SuggestItem(new String[] { "検索", "エンジン" }, readings, new String[] { "content" }, 1, 0, -1, tags, roles, null,
                SuggestItem.Kind.DOCUMENT);

        String[][] readings2 = new String[2][];
        readings2[0] = new String[] { "zenbun", "fuga" };
        readings2[1] = new String[] { "kensaku", "fuga" };
        String[] tags2 = new String[] { "tag3" };

 */
public interface ContentsParser {
    /**
     * Parses the given search words and creates a SuggestItem.
     *
     * @param words the array of search words
     * @param readings the array of readings corresponding to the search words
     * @param fields the array of fields associated with the search words
     * @param tags the array of tags associated with the search words

                if (readings != null && readings.length > i && readings[i].length > 0) {
                    for (final String reading : readings[i]) {
                        if (!l.contains(reading)) {
                            l.add(reading);
                        }
                    }
                }

                wordsList.add(word);

            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) {

import java.io.IOException;
import java.util.List;

/**
 * Interface for converting text into its reading form.
 */
public interface ReadingConverter {

    /**
     * Returns the maximum number of readings.
     *
     * @return the maximum number of readings, default is 10.
     */
    default int getMaxReadingNum() {
        return 10;
    }

    /**

    }

    @Test
    public void test_addLang() throws Exception {
        SuggestItem[] items = new SuggestItem[1];
        String[][] readings = new String[1][];
        readings[0] = new String[] { "test" };
        items[0] = new SuggestItem(new String[] { "test" }, readings, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },

    public void setUserBoost(final float userBoost) {
        this.userBoost = userBoost;
    }

    /**
     * Sets the readings of the suggest item.
     * @param readings The readings to set.
     */
    public void setReadings(final String[][] readings) {
        this.readings = readings;
    }

    /**
     * Sets the fields of the suggest item.
     * @param fields The fields to set.
     */

        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));

  - extractor
  - markdown
---

# Introduction

This is a sample Markdown document for testing the MarkdownExtractor.

## Features

The extractor should handle:

- YAML front matter extraction
- Heading structure
- **Bold text** and *italic text*
- Lists and other formatting

### Code Examples

Here is some inline `code` and a code block:

```java
public class Example {