<script type="text/javascript" src="${fe:url('/js/jquery-3.7.1.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/clipboard.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/popper.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/bootstrap.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/suggestor.js')}"></script>

		</div>
	</div>
	<input type="hidden" id="contextPath" value="${contextPath}" />
	<script type="text/javascript" src="${fe:url('/js/admin/jquery-3.7.1.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/admin/popper.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/admin/bootstrap.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/profile.js')}"></script>
</body>

     * @param field the field name
     * @param text the query text
     * @return the converted QueryBuilder
     */
    protected QueryBuilder convertTermQuery(final FessConfig fessConfig, final QueryContext context, final TermQuery termQuery,
            final float boost, final String field, final String text) {
        if (fessConfig.getQueryReplaceTermWithPrefixQueryAsBoolean() && text.length() > 1 && text.endsWith("*")) {

    }

    /**
     * Returns the text to be used for language detection.
     *
     * @param text The original text.
     * @return The text for language detection.
     */
    protected String getDetectText(final String text) {
        final String result;
        if (text.length() <= maxTextLength) {
            result = text;
        } else {
            result = text.substring(0, maxTextLength);
        }

        return encrypt(data, key);
    }

    /**
     * Encrypts the given text.
     *
     * @param text
     *            the text to encrypt
     * @return the encrypted text
     */
    public String encryptText(final String text) {
        try {
            return Base64Util.encode(encrypt(text.getBytes(charsetName)));
        } catch (final UnsupportedEncodingException e) {

 */
package org.codelibs.fess.suggest.normalizer;

/**
 * An interface for normalizing text.
 * Implementations of this interface should provide a method to normalize
 * a given text based on the specified field and optional language parameters.
 */
public interface Normalizer {
    /**
     * Normalizes the given text.
     * @param text The text to normalize
     * @param field The field name
     * @param langs The language

          |
          |
          """.trimMargin(),
        ).setHeader("content-type", "text/event-stream")
        .build(),
    )
    newEventSource("text/plain")
    listener.assertOpen()
    listener.assertEvent(null, null, "hey")
    listener.assertClose()
    assertThat(server.takeRequest().headers["Accept"]).isEqualTo("text/plain")
  }

  @Test
  fun setsMissingAccept() {
    server.enqueue(

        // Test analyze with empty text
        String text = "";
        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;

        NormalizerChain chain = new NormalizerChain();
        Normalizer normalizer1 = (text, field, langs) -> text + "-1";
        Normalizer normalizer2 = (text, field, langs) -> text + "-2";
        Normalizer normalizer3 = (text, field, langs) -> text + "-3";

        chain.add(normalizer1);
        chain.add(normalizer2);
        chain.add(normalizer3);

        // Test convert with various whitespace
        converter.init();
        String text = "  test  \n\t  text  ";
        String field = "content";

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

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("  TEST  \n\t  TEXT  ", readings.get(0));
    }

    @Test