import org.apache.maven.model.v4.MavenStaxReader;

/**
 * A utility class that analyzes Maven POM files to identify memory usage patterns and potential memory optimizations.
 * This analyzer focuses on identifying duplicate strings and their memory impact across different paths in the POM structure.
 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.

        assertTrue(analyzerNames.contains(settings.analyzer().getNormalizeAnalyzerName("", "")));

        for (final String lang : settings.analyzer().SUPPORTED_LANGUAGES) {
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsAnalyzerName("", lang)));
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsReadingAnalyzerName("", lang)));

	// Check the parsed limit value
	stmt.limitValue, err = parseLimit(selectAST.Limit)
	if err != nil {
		err = errQueryAnalysisFailure(err)
		return stmt, err
	}

	// Analyze where clause
	if selectAST.Where != nil {
		whereQProp := selectAST.Where.analyze(&selectAST)
		if whereQProp.err != nil {
			err = errQueryAnalysisFailure(fmt.Errorf("Where clause error: %w", whereQProp.err))
			return stmt, err
		}

        this.defaultField = defaultField;
    }

    /**
     * Sets the analyzer used to analyze query terms.
     *
     * @param analyzer the analyzer to use
     */
    public void setAnalyzer(final Analyzer analyzer) {
        this.analyzer = analyzer;
    }

    /**
     * Sets whether to allow leading wildcards in query terms.
     *

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.

#
# You may wish to alter this file to override the set of languages analyzed,
# or to provide custom queries or build logic.
name: "CodeQL"

on:
  push:
    branches: [master]
  pull_request:
    # The branches below must be a subset of the branches above
    branches: [master]
  schedule:
    - cron: '0 11 * * 4'

jobs:
  analyze:
    name: Analyze
    runs-on: ubuntu-latest

    strategy:

	}
	return result
}

func (e *AndCondition) analyze(s *Select) (result qProp) {
	for _, ac := range e.Condition {
		result.combine(ac.analyze(s))
	}
	return result
}

func (e *Condition) analyze(s *Select) (result qProp) {
	if e.Operand != nil {
		result = e.Operand.analyze(s)
	} else {
		result = e.Not.analyze(s)
	}
	return result
}

     * @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

          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"
          }

          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"
          }