import org.codelibs.fess.suggest.normalizer.Normalizer;

/**
 * Interface for parsing content and creating suggest items.
 */
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

 * <li>{@link #badWords} - List of bad words.</li>
 * <li>{@link #parallel} - Flag for parallel processing.</li>
 * <li>{@link #readingConverter} - Reading converter.</li>
 * <li>{@link #contentsReadingConverter} - Contents reading converter.</li>
 * <li>{@link #normalizer} - Normalizer.</li>
 * <li>{@link #analyzer} - Suggest analyzer.</li>
 * <li>{@link #contentsParser} - Contents parser.</li>

     */
    protected ZipFileUtil() {
    }

    /**
     * Creates and returns a <code>ZipFile</code> for reading the specified Zip file.
     *
     * @param file
     *            File path. Must not be {@literal null} or an empty string.
     * @return A <code>ZipFile</code> for reading the specified Zip file.
     */
    public static ZipFile create(final String file) {
        assertArgumentNotEmpty("file", file);

    }

    /**
     * Sets the reading converter.
     * @param readingConverter The reading converter.
     * @return This builder instance.
     */
    public SuggesterBuilder readingConverter(final ReadingConverter readingConverter) {
        this.readingConverter = readingConverter;
        return this;
    }

    /**
     * Sets the contents reading converter.

 *       normalization, contents, and contents reading) for a specific field.</li>
 * </ul>
 *
 * @see SuggestAnalyzer
 * @see FieldAnalyzerMapping
 */
public class AnalyzerSettings {
    /** Analyzer name for reading. */
    public static final String READING_ANALYZER = "reading_analyzer";
    /** Analyzer name for reading term. */

        String[][] readings = { { "reading" } };
        String[] fields = { "field" };

        return new SuggestItem(texts, readings, fields, 1L, 1L, 1.0f, tags, new String[0], new String[0], SuggestItem.Kind.DOCUMENT);
    }

    private SuggestItem createItemWithRoles(String text, String... roles) {
        String[] texts = { text };
        String[][] readings = { { "reading" } };

                        final String reading = readingList.get(readingCount);
                        if (i + 1 == queries.length && prefixQuery) {
                            readingQueryBuilder.should(QueryBuilders.prefixQuery(fieldName, reading));
                        } else {
                            readingQueryBuilder.should(QueryBuilders.termQuery(fieldName, reading));
                        }
                    }

 * </pre></td><td>
 * Open the Named Pipe foo for reading and writing. The pipe will behave like the <code>CallNamedPipe</code> interface.
 * </td></tr>
 * <tr><td ><pre>
 * new SmbNamedPipe( "smb1://server/IPC$/foo",
 *         SmbNamedPipe.PIPE_TYPE_RDWR |
 *         SmbNamedPipe.PIPE_TYPE_TRANSACT );
 * </pre></td><td>

    }

    /**
     * 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]);
        }

    // Tests for reading arrays edge cases
    // ============================================================

    @Test
    public void test_manyReadingsForOneWord() {
        String[] text = { "test" };
        String[][] readings = { { "reading1", "reading2", "reading3", "reading4", "reading5", "reading6", "reading7", "reading8",
                "reading9", "reading10" } };