.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();

 *
 * <p>Usage example:</p>
 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();
 * Model model = reader.read(Files.newInputStream(pomPath));
 * analyzer.analyzePom(model);
 * analyzer.printAnalysis();
 * </pre>
 *
 * <p>The analysis output includes:</p>
 * <ul>
 *   <li>Total memory usage per POM path</li>

        operationsStale = true;
        return this;
    }

    /**
     * Sets the analyzer.
     * @param analyzer The analyzer.
     * @return This SuggestIndexer instance.
     */
    public SuggestIndexer setAnalyzer(final SuggestAnalyzer analyzer) {
        this.analyzer = analyzer;
        operationsStale = true;
        return this;
    }

    /**
     * Sets the contents parser.

     * @param readingConverter the converter to use for converting readings
     * @param normalizer the normalizer to use for normalizing the search words
     * @param analyzer the analyzer to use for analyzing the search words
     * @param langs the array of languages associated with the search words
     * @return a SuggestItem created from the given search words and associated data
     */

- `src/main/resources/suggest_indices/suggest/mappings-default.json` - Field mappings
- `src/main/resources/suggest_indices/analyzer/mapping-default.json` - Analyzer mapping
- `src/main/resources/suggest_indices/suggest_analyzer.json` - Analyzer settings
- `src/main/resources/suggest_indices/suggest_settings.json` - Suggest settings
- `src/main/resources/suggest_indices/suggest_settings_array.json` - Array settings

     * @param threadPool The executor service for async operations
     * @param indexingOps The indexing operations for writing items
     * @param contentsParser The contents parser for parsing documents
     * @param analyzer The suggest analyzer
     * @param readingConverter The reading converter
     * @param contentsReadingConverter The contents reading converter
     * @param normalizer The normalizer

        // 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);

        this.normalizer = Objects.requireNonNull(normalizer, "normalizer must not be null");
        this.analyzer = Objects.requireNonNull(analyzer, "analyzer must not be null");
        index = settings.getAsString(SuggestSettings.DefaultKeys.INDEX, StringUtil.EMPTY);
        this.threadPool = Objects.requireNonNull(threadPool, "threadPool must not be null");

            try {
                ConcurrencyDependencyGraph analyzer =
                        new ConcurrencyDependencyGraph(segmentProjectBuilds, session.getProjectDependencyGraph());

                multiThreadedProjectTaskSegmentBuild(
                        analyzer, reactorContext, session, service, taskSegment, projectBuildMap);

import java.util.List;

import org.codelibs.fess.suggest.settings.AnalyzerSettings;
import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction.AnalyzeToken;
import org.opensearch.transport.client.Client;

/**
 * AnalyzerNormalizer is a class that implements the Normalizer interface.