*
 * <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>

    #    and modify them (or add more) to build your code if your project
    #    uses a compiled language

    #- run: |
    #   make bootstrap
    #   make release

    - name: Perform CodeQL Analysis
      uses: github/codeql-action/analyze@v4
      with:
        config-file: ./.github/codeql/codeql-config.yml

    - name: Cleanup Gradle Cache
      # Cleans up the Gradle caches before being cached
      run: |

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, 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
		}

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.core.common.Strings;
import org.opensearch.transport.client.Client;

import com.ibm.icu.text.Transliterator;

/**

        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)));

        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.
     *

  schedule:
    - cron: '26 3 * * 2'
  push:
    branches: [ "master" ]

# Declare default permissions as read only.
permissions: read-all

jobs:
  analysis:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: Scorecards analysis
    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write

import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.core.KeywordTokenizer;
import org.apache.lucene.analysis.core.LowerCaseFilter;
import org.apache.lucene.analysis.synonym.SolrSynonymParser;
import org.apache.lucene.analysis.synonym.SynonymMap;
import org.apache.lucene.analysis.synonym.WordnetSynonymParser;
import org.opensearch.common.settings.Settings;
import org.opensearch.common.unit.TimeValue;

        document.put("title", "タイトル");

        SuggestAnalyzer analyzer = suggester.settings().analyzer().new DefaultContentsAnalyzer();
        List<SuggestItem> items = defaultContentsParser.parseDocument(document, supportedFields, tagFieldNames, roleFieldName, "lang",
                createDefaultReadingConverter(), createDefaultReadingConverter(), createDefaultNormalizer(), analyzer);

        assertNotNull(items);