*   <li>{@link #analyzerSettings}: The settings for the analyzer.</li>
 *   <li>{@link #transliterator}: The transliterator used to convert between Hiragana and Katakana.</li>
 * </ul>
 */
public class AnalyzerConverter implements ReadingConverter {
    /** OpenSearch client. */
    protected final Client client;
    private final SuggestSettings settings;
    /** Analyzer settings. */
    protected final AnalyzerSettings analyzerSettings;

     * @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
     */

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

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

 *
 * <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>
 *   <li>Potential memory savings through string deduplication</li>

        this.normalizer = normalizer;
        return this;
    }

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

    /**
     * Sets the contents parser.

 */
public class AnalyzerNormalizer implements Normalizer {
    /**
     * The OpenSearch client used for analyzing text.
     */
    private final Client client;

    /**
     * The settings for the analyzer.
     */
    private final AnalyzerSettings analyzerSettings;

    /**
     * The settings for suggestions.
     */
    private final SuggestSettings settings;

    /**

        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      },
      "description" : {
        "type": "text",
        "analyzer": "standard_analyzer"
      }
    }

        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      },
      "description" : {
        "type": "text",
        "analyzer": "standard_analyzer"
      }
    }

        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      },
      "description" : {
        "type": "text",
        "analyzer": "standard_analyzer"
      }
    }

{
  "settings": {
    "index": {
      "refresh_interval": "1s",
      "number_of_shards": 1,
      "number_of_replicas": 0,
      "auto_expand_replicas": "0-1"
    },
    "analysis": {
      "analyzer": {
        "standard_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "cjk_width",
            "asciifolding",
            "lowercase",
            "stop",