context.addFieldLog(field, text);
            stream(texts).of(stream -> stream.forEach(t -> context.addHighlightedQuery(t)));
            return buildMatchPhraseQuery(field, text);
        }

        context.addFieldLog(Constants.DEFAULT_FIELD, text);
        return buildDefaultQueryBuilder(fessConfig, context, (f, b) -> buildMatchPhraseQuery(f, text).boost(b * boost));
    }

import org.opensearch.core.common.Strings;
import org.opensearch.transport.client.Client;

import com.ibm.icu.text.Transliterator;

/**
 * AnalyzerConverter is a class that implements the ReadingConverter interface.
 * It is responsible for converting text using specified language analyzers.
 * The class uses a Transliterator to convert between Hiragana and Katakana.
 *
 * <p>Constructor:
 * <ul>

    }

    /**
     * Extracts a date string from the received header text.
     *
     * @param text the received header text
     * @return the date string starting from the day of week, or null if not found
     */
    private static String getDateString(final String text) {
        for (final String dow : DAY_OF_WEEK) {
            final int i = text.lastIndexOf(dow);
            if (i != -1) {

<link href="${fe:url('/css/admin/plugins/daterangepicker/daterangepicker.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/plugins/timepicker/bootstrap-timepicker.min.css')}" rel="stylesheet" type="text/css" />
<link href="${fe:url('/css/admin/style.css')}" rel="stylesheet" type="text/css" />
<!--[if lt IE 9]>
<script src="${fe:url('/css/admin/html5shiv.min.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>

        /**
         * Analyzes the given text.
         * @param text The text to analyze.
         * @param field The field name.
         * @param lang The language.
         * @return A list of analyzed tokens.
         */
        @Override
        public List<AnalyzeToken> analyze(final String text, final String field, final String lang) {
            if (text == null || text.length() > maxContentLenth) {

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

import org.codelibs.core.lang.StringUtil;

/**
 * Utility class for text normalization and processing.
 *
 * This class provides methods to normalize text by reading characters from a provided Reader
 * and processing them according to specific rules. The main functionality is encapsulated
 * within the nested {@link TextNormalizeContext} class.
 *
 * <p>The text normalization process includes:
 * <ul>

    }

    /**
     * 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);
        }

          |
          |
          """.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(