d?Math.max(0,d[1]-(c||0))+(d[2]||"px"):b}function Hb(a,b,c,d,e){for(var f=c===(d?"border":"content")?4:"width"===b?1:0,g=0;4>f;f+=2)"margin"===c&&(g+=n.css(a,c+R[f],!0,e)),d?("content"===c&&(g-=n.css(a,"padding"+R[f],!0,e)),"margin"!==c&&(g-=n.css(a,"border"+R[f]+"Width",!0,e))):(g+=n.css(a,"padding"+R[f],!0,e),"padding"!==c&&(g+=n.css(a,"border"+R[f]+"Width",!0,e)));return g}function Ib(a,b,c){var d=!0,e="width"===b?a.offsetWidth:a.offsetHeight,f=wb(a),g="border-box"===n.css(a,"boxSizing",!1,f);if(0>=e||nu...

 * <li>{@link #ANALYZER_SETTINGS_FIELD_NAME} - The analyzer settings field name.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_ANALYZER} - The reading analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_TERM_ANALYZER} - The reading term analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_NORMALIZE_ANALYZER} - The normalize analyzer settings field.</li>

                    final String term = termTokenList.get(i).getTerm();
                    String reading = readingTokenList.get(i).getTerm();
                    if (Strings.isNullOrEmpty(reading)) {
                        reading = term;
                    }
                    reading = transliterator.transliterate(reading);

                    final int pos = text.indexOf(term, offset);
                    if (pos > 0) {

    }

    /**
     * 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.

<td align="left" width="10" style="padding:0;margin:0;line-height:1px;font-size:1px;"></td>
<td align="left" style="padding:0;margin:0;line-height:1px;font-size:1px;">
<table align="left" cellpadding="0" cellspacing="0" border="0" style="padding:0px; margin:0px;padding:0;margin:0;line-height:1px;font-size:1px;">
<tbody>
<tr>
<td align="left" style="padding:0;margin:0;line-height:1px;font-size:1px;">

 */
package org.codelibs.fess.suggest.index.contents.document;

import java.io.Closeable;
import java.util.Map;

/**
 * Interface for reading documents and extracting their contents into a map.
 * Implementations of this interface should provide the logic for reading
 * documents and converting them into a key-value structure.
 *
 * <p>This interface extends {@link java.io.Closeable}, so implementations

                    continue;
                }

                String reading = getReadingFromAttribute(stream);
                if (Strings.isNullOrEmpty(reading)) {
                    reading = transliterator.transliterate(att.toString());
                }
                kanaBuf.append(reading);
                offset += term.length();
            }
        }

                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);

     * @param langFieldName The name of the field that contains language information.
     * @param readingConverter The converter to use for reading fields.
     * @param contentsReadingConverter The converter to use for reading content fields.
     * @param normalizer The normalizer to use for normalizing field values.
     * @param analyzer The analyzer to use for analyzing field values.

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