}

// CHECK-LABEL: func.func private @"random/while_body/TfMlrtAsyncWhileBody"(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<i32> {
func.func private @"random/while_body/TfMlrtAsyncWhileBody"(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<i32> {
  %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<i32>, tensor<i32>) -> tensor<i32>
  return %0: tensor<i32>
}

// CHECK-LABEL: func.func private @"random/while_cond"

  // @Param({"4", "8", "64", "1024", "1048576", "1048577", "6710884", "6710883"})
  @Param({"4", "8", "64", "1024"})
  private int length;

  @BeforeExperiment
  void setUp() throws Exception {
    Random r = new Random();
    ba1 = new byte[length];
    r.nextBytes(ba1);
    ba2 = Arrays.copyOf(ba1, ba1.length);
    // Differ at the last element
    ba3 = Arrays.copyOf(ba1, ba1.length);
    ba4 = Arrays.copyOf(ba1, ba1.length);

}

func TestExtract(t *testing.T) {
	obj := &corev1.Pod{}
	tombstone := cache.DeletedFinalStateUnknown{
		Obj: obj,
	}
	random := time.Time{}

	t.Run("extract typed", func(t *testing.T) {
		assert.Equal(t, Extract[*corev1.Pod](obj), obj)
		assert.Equal(t, Extract[*corev1.Pod](random), nil)
		assert.Equal(t, Extract[*corev1.Pod](tombstone), obj)
	})

	t.Run("extract object", func(t *testing.T) {

  private static ImmutableList<Double> generatePseudorandomDataset() {
    Random random = new Random(2211275185798966364L);
    ImmutableList.Builder<Double> largeDatasetBuilder = ImmutableList.builder();
    for (int i = 0; i < PSEUDORANDOM_DATASET_SIZE; i++) {
      largeDatasetBuilder.add(random.nextGaussian());
    }
    return largeDatasetBuilder.build();
  }

  int datasetSize;

  @Param QuantilesAlgorithm algorithm;

  private 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();
      }
    }
  }

      connection: Connection,
    ) {
      if (random != null) {
        val sslSocket = connection.socket() as SSLSocket
        val session = sslSocket.session

        val masterSecretHex =
          session.masterSecret?.encoded?.toByteString()
            ?.hex()

        if (masterSecretHex != null) {
          val keyLog = "CLIENT_RANDOM $random $masterSecretHex"

          if (verbose) {

	const letterBytes = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
	// seeding the random number generator.
	rand.Seed(UTCNow().UnixNano())
	// pick a character randomly.
	return []byte{letterBytes[rand.Intn(len(letterBytes))]}
}

// picks a random byte and repeats it to size bytes.
func generateBytesData(size int) []byte {
	// repeat the random character chosen size
	return bytes.Repeat(getRandomByte(), size)
}

// to ensure that callers do not depend on non-guaranteed behaviour, e.g.
// assuming that rsa.GenerateKey is deterministic w.r.t. a given random stream.
//
// This does not affect tests that pass a stream of fixed bytes as the random
// source (e.g. a zeroReader).
func MaybeReadByte(r io.Reader) {
	closedChanOnce.Do(func() {
		closedChan = make(chan struct{})
		close(closedChan)
	})

	select {

import java.util.Map;
import java.util.Random;
import java.util.Set;
import junit.framework.TestCase;

/**
 * Tests that the different algorithms benchmarked in {@link QuantilesBenchmark} are actually all
 * returning more-or-less the same answers.
 */
public class QuantilesAlgorithmTest extends TestCase {

  private static final Random RNG = new Random(82674067L);
  private static final int DATASET_SIZE = 1000;

  private static final int RANDOM_SEED = new Random().nextInt();

  @Param({"10", "1000", "100000", "1000000"})
  private int size;

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {
    testBytes = new byte[size];
    new Random(RANDOM_SEED).nextBytes(testBytes);
  }

  // CRC32

  @Benchmark
  byte crc32HashFunction(int reps) {