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

  @J2ktIncompatible
  @GwtIncompatible // suite
  public static Test suite() {
    List<ListTestSuiteBuilder<Short>> 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(

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;

import jcifs.RuntimeCIFSException;

/**
 * Optimized test for Transport class focusing on core functionality
 * with fast execution and comprehensive coverage of key behaviors.
 */
class TransportTest {

    private TestableTransport transport;

    /**

	switch reflectValue.Kind() {
	case reflect.Slice, reflect.Array:
		var rowsAffected int64
		tx = db.getInstance()

		// the reflection length judgment of the optimized value
		reflectLen := reflectValue.Len()

		callFc := func(tx *DB) error {
			for i := 0; i < reflectLen; i += batchSize {
				ends := i + batchSize
				if ends > reflectLen {
					ends = reflectLen
				}

import okio.ByteString
import okio.ByteString.Companion.encodeUtf8
import okio.Options

/**
 * A decoded [mapping table] that can perform the [mapping step] of IDNA processing.
 *
 * This implementation is optimized for readability over efficiency.
 *
 * This implements non-transitional processing by preserving deviation characters.
 *
 * This implementation's STD3 rules are configured to `UseSTD3ASCIIRules=false`. This is

- **Thread Safety**: Components support concurrent access
- **DFS Support**: Distributed File System resolution
- **Streaming Operations**: Efficient directory listings and file operations
- **Buffer Caching**: Optimized buffer management
- **DCE/RPC Protocol**: Support for advanced operations

## Quick Start

### Basic Usage

```java
import jcifs.CIFSContext;
import jcifs.context.SingletonContext;

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

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

  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(

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