functionScoreQueryBuilder.boostMode(CombineFunction.REPLACE);
        functionScoreQueryBuilder.scoreMode(FunctionScoreQuery.ScoreMode.MULTIPLY);

        return functionScoreQueryBuilder;
    }

    /**
     * Creates a SuggestResponse from the OpenSearch SearchResponse.
     * @param searchResponse The OpenSearch SearchResponse.

        assertTrue(urlFilter.match("https://example.com/dir/page2"));
        assertFalse(urlFilter.match("https://other.com/"));
    }

    /**
     * Test adding multiple include patterns
     */
    public void test_addInclude_multiplePatterns() {
        String sessionId = "test-session-003";
        urlFilter.init(sessionId);

        urlFilter.addInclude("https://example.com/.*");

## Overview

**Fess Crawler** is a powerful, flexible Java-based web crawling framework designed for enterprise-scale content extraction and processing. Built with a modular architecture, it supports multiple protocols (HTTP/HTTPS, File System, FTP, SMB, Cloud Storage) and provides extensive content extraction capabilities from various document formats.

### Key Features

 * and replacing them with their corresponding Alphabet representations based on the internal mapping.
 * When a Katakana character has multiple Alphabet representations, the converter generates multiple
 * possible readings.
 * </p>
 *
 * <p>
 * The class also utilizes ICU4J's {@link com.ibm.icu.text.Transliterator} to convert full-width characters

        // Test normal initialization
        converter.init();
        assertTrue(testConverter.isInitialized());
    }

    @Test
    public void testInitMultipleTimes() throws IOException {
        // Test multiple initialization calls
        converter.init();
        assertTrue(testConverter.isInitialized());

        // Call init again
        converter.init();
        assertTrue(testConverter.isInitialized());

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

import java.util.ArrayList;
import java.util.List;

/**
 * The NormalizerChain class implements the Normalizer interface and allows chaining multiple normalizers together.
 * It applies each normalizer in the order they were added to the chain.
 *
 * <p>Usage example:</p>
 * <pre>
 * NormalizerChain chain = new NormalizerChain();
 * chain.add(new SomeNormalizer());

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.crawler.exception;

import java.io.PrintStream;
import java.io.PrintWriter;

/**
 * An exception that indicates multiple crawling access exceptions occurred.
 * This exception holds an array of Throwable objects representing the individual causes.
 * It extends CrawlingAccessException and provides methods to print the stack traces of all causes.
 *

    @Test
    public void testConvertWithMultipleLanguages() throws IOException {
        // Test convert with multiple languages
        String text = "test text";
        String field = "content";

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

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

    @Test

        // Newline characters
        testTransformer.setName("name\nwith\nnewlines");
        assertEquals("name\nwith\nnewlines", testTransformer.getName());
    }

    /**
     * Test multiple name changes
     */
    public void test_multipleNameChanges() {
        String[] names = { "first", "second", "third", "fourth", "fifth" };

        for (String name : names) {

        assertEquals("  rule with spaces  ", testRule.getRuleId());
    }

    /**
     * Test multiple registrations of same rule
     */
    public void test_multipleRegistrations() {
        testRule.setRuleId("multiRegRule");

        // Register multiple times
        testRule.register(0);
        testRule.register(0);
        testRule.register(1);