private static List<Byte> asList(Byte[] values) {
    byte[] temp = new byte[values.length];
    for (int i = 0; i < values.length; i++) {
      temp[i] = checkNotNull(values[i]); // checkNotNull for GWT (do not optimize).
    }
    return Bytes.asList(temp);
  }

  @J2ktIncompatible
  @GwtIncompatible // suite
  public static Test suite() {
    List<ListTestSuiteBuilder<Byte>> builders =
        ImmutableList.of(

  private static List<Long> asList(Long[] values) {
    long[] temp = new long[values.length];
    for (int i = 0; i < values.length; i++) {
      temp[i] = checkNotNull(values[i]); // checkNotNull for GWT (do not optimize).
    }
    return Longs.asList(temp);
  }

  @J2ktIncompatible
  @GwtIncompatible // suite
  public static Test suite() {
    List<ListTestSuiteBuilder<Long>> builders =
        ImmutableList.of(

	</component>
	<component name="languageHelper" class="org.codelibs.fess.helper.LanguageHelper">
		<property name="detector">
			<component class="org.apache.tika.langdetect.optimaize.OptimaizeLangDetector">
				<postConstruct name="loadModels"></postConstruct>
			</component>
		</property>
	</component>
	<component name="searchLogHelper" class="org.codelibs.fess.helper.SearchLogHelper">
		<!-- 

    this.allowsSelfLoops = builder.allowsSelfLoops;
    this.nodeOrder = builder.nodeOrder.cast();
    this.edgeOrder = builder.edgeOrder.cast();
    // Prefer the heavier "MapRetrievalCache" for nodes if lookup is expensive. This optimizes
    // methods that access the same node(s) repeatedly, such as Graphs.removeEdgesConnecting().
    this.nodeConnections =
        (nodeConnections instanceof TreeMap)

    this.allowsSelfLoops = builder.allowsSelfLoops;
    this.nodeOrder = builder.nodeOrder.cast();
    this.edgeOrder = builder.edgeOrder.cast();
    // Prefer the heavier "MapRetrievalCache" for nodes if lookup is expensive. This optimizes
    // methods that access the same node(s) repeatedly, such as Graphs.removeEdgesConnecting().
    this.nodeConnections =
        (nodeConnections instanceof TreeMap)

saving the object in specific number of data and parity drives.

## Storage usage

The selection of varying data and parity drives has a direct impact on the drive space usage. With storage class, you can optimize for high
redundancy or better drive space utilization.

To get an idea of how various combinations of data and parity drives affect the storage usage, let’s take an example of a 100 MiB file stored

import jcifs.CIFSContext;
import jcifs.Configuration;
import jcifs.NetbiosAddress;
import jcifs.NetbiosName;
import jcifs.ResolverType;

/**
 * Test class for NameServiceClientImpl focusing on public API methods.
 * Optimized for fast execution with minimal network calls.
 */
@ExtendWith(MockitoExtension.class)
@MockitoSettings(strictness = Strictness.LENIENT)
@DisplayName("NameServiceClientImpl Tests")
class NameServiceClientImplTest {

        }

        @Override
        public C get(int i) {
          checkElementIndex(i, size());
          return domain.offset(first(), i);
        }

        // redeclare to help optimizers with b/310253115
        @SuppressWarnings("RedundantOverride")
        @Override
        @J2ktIncompatible
        @GwtIncompatible
                Object writeReplace() {
          return super.writeReplace();

 * The builder allows setting parameters such as MIME type, filename, extractor name, maximum content length,
 * and cache file size to optimize the extraction process.
 *
 * <p>
 * The main purpose of this class is to simplify the extraction process by providing a fluent interface

   * @return the escaped form of {@code string}
   * @throws NullPointerException if {@code string} is null
   */
  @Override
  public String escape(String string) {
    checkNotNull(string); // GWT specific check (do not optimize)
    // Inlineable fast-path loop which hands off to escapeSlow() only if needed
    int length = string.length();
    for (int index = 0; index < length; index++) {
      if (escape(string.charAt(index)) != null) {