String field = "content";

        List<String> results = converter.convert(text, field, "en", "ja");

        assertNotNull(results);
        // With multiple languages, should use ReadingConverterChain
    }

    @Test
    public void testConvertWithEmptyText() throws IOException {
        // Test convert with empty text
        String text = "";
        String field = "content";

        String field = "content";
        String[] keywords = SuggestUtil.parseQuery(query, field);
        assertNotNull(keywords);
        assertEquals(0, keywords.length); // Should return empty array
    }

    @Test
    public void testGetKeywords() {
        // Test normal query
        String query = "test AND query";
        String[] fields = { "content", "title" };

        String extention;
        String content;
        if (File.separator.equals("/")) {
            // Unix
            extention = ".sh";
            content = "#!/bin/bash\nsleep " + sleep + ";cp $1 $2";
        } else {
            // Windows
            extention = ".bat";
            content = "ping localhost -n " + sleep + "\r\ncopy %1 %2";
        }
        File file;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.index.contents;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;

import org.apache.logging.log4j.LogManager;

        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;
        String field = "content";
        String lang = "en";

    }

    @Test
    public void testConvertWithNormalText() throws IOException {
        // Test convert with normal text
        converter.init();
        String text = "hello world";
        String field = "content";

        List<String> readings = converter.convert(text, field, "en");

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("HELLO WORLD", readings.get(0));
    }

this}return d=l.getElementById(c[2]),d&&d.parentNode&&(this.length=1,this[0]=d),this.context=l,this.selector=a,this}return a.nodeType?(this.context=this[0]=a,this.length=1,this):n.isFunction(a)?"undefined"!=typeof y.ready?y.ready(a):a(n):(void 0!==a.selector&&(this.selector=a.selector,this.context=a.context),n.makeArray(a,this))};A.prototype=n.fn,y=n(l);var B=/^(?:parents|prev(?:Until|All))/,C={children:!0,contents:!0,next:!0,prev:!0};n.extend({dir:function(a,b,c){var d=[],e=void 0!==c;while((a=a[...

 * This extractor can extract text content from files within LHA archives
 * by using appropriate extractors for each contained file type.
 *
 * @author shinsuke
 */
public class LhaExtractor extends AbstractExtractor {
    /** Logger for this class. */
    private static final Logger logger = LogManager.getLogger(LhaExtractor.class);

    /** Maximum content size for extraction. -1 means no limit. */

    }

    /**
     * Gets the extracted content.
     *
     * @return the extracted content
     */
    public String getContent() {
        return content;
    }

    /**
     * Sets the extracted content.
     *
     * @param content the content to set
     */
    public void setContent(final String content) {
        this.content = content;
    }

    /**

        Map<String, String> params = new HashMap<>();
        params.put("Content-Type", "text/plain");
        final ExtractData extractData = tikaExtractor.getText(in, params);
        final String content = extractData.getContent();
        CloseableUtil.closeQuietly(in);
        logger.info(content);
        assertTrue(content.contains("テスト"));
    }

    // TODO tika needs to support pdfbox 2.0
    //    public void test_getTika_pdf() {