}
            transformer.setOutputProperty(OutputKeys.METHOD, "xml")
            transformer.setOutputProperty(OutputKeys.MEDIA_TYPE, "text/xml")
            transformer.transform(new DOMSource(root), new StreamResult(stream))
        }
    }

    Document getDocument() {
        root
    }

    private Document parseSourceFile(File sourceFile) {
        documentBuilder().parse(sourceFile)
    }

        this.settings = settings;

        contentsParser = new DefaultContentsParser();
        suggestWriter = new SuggestIndexWriter();

        this.threadPool = threadPool;

        initializeOperations();
    }

    /**
     * Initializes the internal operation classes.
     */
    private void initializeOperations() {
        indexingOps = new IndexingOperations(client, settings, suggestWriter);

$env:JAVA_TOOL_OPTIONS=''

$ErrorActionPreference="Stop"
$gradleInit = "C:\Users\$env:username\.gradle\init.d\"
echo "Remove $gradleInit"
Remove-Item -Recurse -Force $gradleInit -ErrorAction Ignore
New-Item -ItemType directory -Path $gradleInit
echo "Copy .ci/init.gradle to $gradleInit"
Copy-Item .ci/init.gradle -Destination $gradleInit

[Environment]::SetEnvironmentVariable("JAVA_HOME", $null, "Machine")

  int datasetSize;

  @Param QuantilesAlgorithm algorithm;

  private final double[][] datasets = new double[0x100][];

  @BeforeExperiment
  void setUp() {
    Random rng = new Random();
    for (int i = 0; i < 0x100; i++) {
      datasets[i] = new double[datasetSize];
      for (int j = 0; j < datasetSize; j++) {
        datasets[i][j] = rng.nextDouble();
      }
    }
  }

  ImmutableMapValues(ImmutableMap<K, V> map) {
    this.map = map;
  }

  @Override
  public int size() {
    return map.size();
  }

  @Override
  public UnmodifiableIterator<V> iterator() {
    return new UnmodifiableIterator<V>() {
      final UnmodifiableIterator<Entry<K, V>> entryItr = map.entrySet().iterator();

      @Override
      public boolean hasNext() {
        return entryItr.hasNext();
      }

  int datasetSize;

  @Param QuantilesAlgorithm algorithm;

  private final double[][] datasets = new double[0x100][];

  @BeforeExperiment
  void setUp() {
    Random rng = new Random();
    for (int i = 0; i < 0x100; i++) {
      datasets[i] = new double[datasetSize];
      for (int j = 0; j < datasetSize; j++) {
        datasets[i][j] = rng.nextDouble();
      }
    }
  }

        final int nameLen = SMBUtil.readInt4(buffer, bufferIndex);
        bufferIndex += 4;
        final byte[] nameBytes = new byte[nameLen];
        System.arraycopy(buffer, bufferIndex, nameBytes, 0, nameBytes.length);
        bufferIndex += nameLen;
        this.fileName = new String(nameBytes, StandardCharsets.UTF_16LE);
        return bufferIndex - start;
    }

    /**
     * {@inheritDoc}
     *

        String targetModelVersion = determineTargetModelVersion(context);

        Set<Path> processedPoms = new HashSet<>();
        Set<Path> modifiedPoms = new HashSet<>();
        Set<Path> errorPoms = new HashSet<>();

        for (Map.Entry<Path, Document> entry : pomMap.entrySet()) {
            Path pomPath = entry.getKey();
            Document pomDocument = entry.getValue();

        LoginContext lc = new LoginContext(loginContextName);
        lc.login();
        this.subject = lc.getSubject();
    }

    /**
     * Retrieves all Kerberos keys from the authenticated subject.
     *
     * @return array of KerberosKey objects
     */
    public KerberosKey[] getKeys() {
        List<Key> serverKeys = new ArrayList<>();

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Nonnull;

/**
 * An SPI interface to extend Maven with new enum values for extensible enumerations.
 * <p>
 * Maven uses extensible enumerations to allow plugins and extensions to add new values
 * to various categories like languages, scopes, and packaging types. This interface is the
 * base for all providers that register such extensions.
 * <p>