*/
    public static RdmaProvider selectBestProvider() {
        // Try providers in order of preference
        List<RdmaProvider> providers = Arrays.asList(new DisniRdmaProvider(), // InfiniBand/RoCE - highest performance
                new TcpRdmaProvider() // TCP fallback - always available
        );

        for (RdmaProvider provider : providers) {
            if (provider.isAvailable()) {

 * underlying (implementation specific) data structures to be shared.
 *
 * <p>The size of the data structure used by ArrayBasedCharEscaper and ArrayBasedUnicodeEscaper is
 * proportional to the highest valued character that has a replacement. For example a replacement
 * map containing the single character '{@literal \}u1000' will require approximately 16K of memory.

    * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement...

- Crane digest gcr.io/k8s-staging-e2e-test-images/agnhost:2.56 ([#132117](https://github.com/kubernetes/kubernetes/pull/132117), [@yashsingh74](https://github.com/yashsingh74)) [SIG Network and Testing]

   * also demonstrates how sparse the lookup table is.
   */
  @Test
  fun allFormattedFlagsWithValidBits() {
    val formattedFlags = mutableListOf<String>() // Highest valid flag is 0x20.
    for (i in 0..0x3f) formattedFlags.add(formatFlags(TYPE_HEADERS, i))
    assertThat(formattedFlags).containsExactly(
      "",
      "END_STREAM",
      "00000010",
      "00000011",

 */
package jcifs.internal.smb2;

import java.nio.charset.StandardCharsets;

import org.bouncycastle.crypto.DerivationParameters;
import org.bouncycastle.crypto.digests.SHA256Digest;
import org.bouncycastle.crypto.generators.KDFCounterBytesGenerator;
import org.bouncycastle.crypto.macs.HMac;
import org.bouncycastle.crypto.params.KDFCounterParameters;

/**

  @VisibleForTesting
  static int chooseTableSize(int setSize) {
    if (setSize == 1) {
      return 2;
    }
    // Correct the size for open addressing to match desired load factor.
    // Round up to the next highest power of 2.
    int tableSize = Integer.highestOneBit(setSize - 1) << 1;
    while (tableSize * DESIRED_LOAD_FACTOR < setSize) {
      tableSize <<= 1;
    }
    return tableSize;
  }

# MinIO Erasure Code Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

MinIO protects data against hardware failures and silent data corruption using erasure code and checksums. With the highest level of redundancy, you may lose up to half (N/2) of the total drives and still be able to recover the data.

## What is Erasure Code?

@NullUnmarked
public class PopulatedCachesTest extends TestCase {
  // we use integers as keys; make sure the range covers some values that ARE cached by
  // Integer.valueOf(int), and some that are not cached. (127 is the highest cached value.)
  static final int WARMUP_MIN = 120;
  static final int WARMUP_MAX = 135;
  static final int WARMUP_SIZE = WARMUP_MAX - WARMUP_MIN;

  public void testSize_populated() {

    @Override
    public NetbiosName getName() {
        return this.hostName;
    }

    /**
     * Returns the raw IP address of this NbtAddress. The result is in network
     * byte order: the highest order byte of the address is in getAddress()[0].
     *
     * @return a four byte array
     */
    public byte[] getAddress() {
        final byte[] addr = new byte[4];