import org.codelibs.fess.suggest.normalizer.ICUNormalizer;

// Configure custom settings
SuggestSettings settings = SuggestSettings.builder()
    .analyzer(analyzers -> {
        // Configure custom analyzers
        analyzers.addAnalyzer("custom", customAnalyzerSettings);
    })
    .build();

Suggester customSuggester = Suggester.builder()
    .settings(settings)

                .put("analysis.analyzer.test_reading_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_analyzer_ja.tokenizer", "keyword")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.tokenizer", "keyword")
                .build();

			<groupId>junit</groupId>
			<artifactId>junit</artifactId>
			<version>${junit.version}</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.codelibs</groupId>
			<artifactId>analyzers</artifactId>
			<version>${lucene.version}.0</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.apache.lucene</groupId>
			<artifactId>lucene-analysis-kuromoji</artifactId>

        // Test that multiple analyzer instances work independently
        SuggestAnalyzer analyzer1 = new TestSuggestAnalyzer();
        SuggestAnalyzer analyzer2 = new TestSuggestAnalyzer();

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

        List<AnalyzeToken> tokens1 = analyzer1.analyze(text, field, lang);

    /**
     * Creates a new instance of DefaultContentsAnalyzer using the provided client and suggest settings.
     *
     * @param client   the OpenSearch client to be used for the analyzer
     * @param settings the suggest settings containing the analyzer configuration
     * @return a new instance of AnalyzerSettings.DefaultContentsAnalyzer
     */

        assertNotNull(normalizer);
    }

    @Test
    public void testCreateDefaultAnalyzer() {
        // Test creating default analyzer
        AnalyzerSettings.DefaultContentsAnalyzer analyzer = SuggestUtil.createDefaultAnalyzer(client, settings);
        assertNotNull(analyzer);
    }

    @Test
    public void testGetAsList() {
        // Test with null

        // Verify API response field set is initialized
        assertNotNull(queryFieldConfig.apiResponseFieldSet);
        assertTrue(queryFieldConfig.apiResponseFieldSet.size() > 0);

        // Verify not analyzed field set is initialized
        assertNotNull(queryFieldConfig.notAnalyzedFieldSet);
        assertTrue(queryFieldConfig.notAnalyzedFieldSet.size() > 0);
    }

    public void test_init_withExistingFields() {

  CodeQL-Build:
    permissions:
      actions: read  # for github/codeql-action/init to get workflow details
      contents: read  # for actions/checkout to fetch code
      security-events: write  # for github/codeql-action/analyze to upload SARIF results
    runs-on: ubuntu-latest

    strategy:
      fail-fast: false
      matrix:
        # Override automatic language detection by changing the below list

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm
     * @return estimated compression ratio (0.0 to 1.0, where 0.5 means 50% size reduction)
     */
    double estimateCompressionRatio(byte[] data, int algorithm);

                });
            }

            executor.shutdown();
            assertTrue(executor.awaitTermination(30, TimeUnit.SECONDS), "All threads should complete within timeout");

            // Analyze timing consistency across threads
            if (!timings.isEmpty()) {
                double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);