import java.math.BigInteger;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */

  public void setUp() {
    // precalculate some random strings of ascii characters.
    StringBuilder sb = new StringBuilder();
    Random random = new Random(0xdeadbeef); // for unpredictable but reproducible behavior
    sb.ensureCapacity(size);
    for (int k = 0; k < size; k++) {
      // [9-127) includes all ascii non-control characters
      sb.append((char) (random.nextInt(127 - 9) + 9));
    }
    data = sb.toString();
  }

import java.io.InputStream;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/** Returns a random portion of the requested bytes on each call. */
@NullUnmarked
class RandomAmountInputStream extends FilterInputStream {
  private final Random random;

  public RandomAmountInputStream(InputStream in, Random random) {
    super(checkNotNull(in));
    this.random = checkNotNull(random);
  }

  @Override

 *
 * @author mike nonemacher
 */
@J2ktIncompatible // threads
@GwtIncompatible // threads
@NullUnmarked
public class AtomicLongMapBasherTest extends TestCase {
  private final Random random = new Random(301);

  public void testModify_basher() throws Exception {
    int nTasks = 3000;
    int nThreads = 100;
    int getsPerTask = 1000;
    int deltaRange = 10000;
    String key = "key";

import com.google.caliper.Benchmark;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for certain methods of {@code UnsignedLongs}.
 *
 * @author Eamonn McManus
 */
@NullUnmarked
public class UnsignedLongsBenchmark {
  private static final int ARRAY_SIZE = 0x10000;
  private static final int ARRAY_MASK = 0x0ffff;
  private static final Random randomSource = new Random(314159265358979L);

    if (slice && bytes.length > 0) {
      // test a random slice() of the ByteSource
      Random random = new Random();
      byte[] expected = factory.getExpected(bytes);
      // if expected.length == 0, off has to be 0 but length doesn't matter--result will be empty
      int off = expected.length == 0 ? 0 : random.nextInt(expected.length);
      int len = expected.length == 0 ? 4 : random.nextInt(expected.length - off);

// the given io.Reader. If random is nil, crypto/rand.Reader is used.
// If length <= 0, the access key length is chosen automatically.
//
// GenerateAccessKey returns an error if length is too small for a valid
// access key.
func GenerateAccessKey(length int, random io.Reader) (string, error) {
	if random == nil {
		random = rand.Reader
	}
	if length <= 0 {
		length = accessKeyMaxLen

    long seed = new Random().nextLong();
    Random random = new Random(seed);
    insertRandomly(elements, q, random);
    return seed;
  }

  private static void insertRandomly(
      ArrayList<Integer> elements, MinMaxPriorityQueue<Integer> q, Random random) {
    while (!elements.isEmpty()) {
      int selectedIndex = random.nextInt(elements.size());

type ObjectKey [32]byte

// GenerateKey generates a unique ObjectKey from a 256 bit external key
// and a source of randomness. If random is nil the default PRNG of the
// system (crypto/rand) is used.
func GenerateKey(extKey []byte, random io.Reader) (key ObjectKey) {
	if random == nil {
		random = rand.Reader
	}
	if len(extKey) != 32 { // safety check
		logger.CriticalIf(context.Background(), errors.New("crypto: invalid key length"))

import java.math.BigInteger;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */