func randIP(s *string, r *rand.Rand) {
	*s = fmt.Sprintf("10.20.%d.%d", r.Int31n(256), r.Int31n(256))
}

// randPod changes fields in pod to mimic another pod from the same replicaset.
// The list fields here has been generated by picking two pods in the same replicaset
// and checking diff of their jsons.
func randPod(b *testing.B, pod *v1.Pod, r *rand.Rand) {
	pod.Name = fmt.Sprintf("%s-%x", pod.GenerateName, r.Int63n(1000))

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    // schedule each time we remat, so only a few iterations...
    std::array<int, 3> randos;
    const auto& [begin, end, insert] = randos;
    for (int i = 0, num_operations = kNumOperations; i < 4;
         ++i, num_operations += end - begin) {
      std::uniform_int_distribution<int> some_op(0, num_operations - 1);
      for (auto& rando : randos) {
        rando = some_op(rng);
      }
      // We need begin <= end <= insert.

      @Override
      void performAction(Random random, Iterable<? extends PrimitiveSink> sinks) {
        boolean value = random.nextBoolean();
        for (PrimitiveSink sink : sinks) {
          sink.putBoolean(value);
        }
      }
    },
    PUT_BYTE() {
      @Override
      void performAction(Random random, Iterable<? extends PrimitiveSink> sinks) {
        int value = random.nextInt();

type Source interface {
	Uint64() uint64
}

// A Rand is a source of random numbers.
type Rand struct {
	src Source
}

// New returns a new Rand that uses random values from src
// to generate other random values.
func New(src Source) *Rand {
	return &Rand{src: src}
}

// Int64 returns a non-negative pseudo-random 63-bit integer as an int64.
func (r *Rand) Int64() int64 { return int64(r.src.Uint64() &^ (1 << 63)) }

	}

	r.src.Seed(seed)
	r.readPos = 0
}

// Int63 returns a non-negative pseudo-random 63-bit integer as an int64.
func (r *Rand) Int63() int64 { return r.src.Int63() }

// Uint32 returns a pseudo-random 32-bit value as a uint32.
func (r *Rand) Uint32() uint32 { return uint32(r.Int63() >> 31) }

// Uint64 returns a pseudo-random 64-bit value as a uint64.
func (r *Rand) Uint64() uint64 {
	if r.s64 != nil {

	return valid, em, index, nil
}

// nonZeroRandomBytes fills the given slice with non-zero random octets.
func nonZeroRandomBytes(s []byte, random io.Reader) (err error) {
	_, err = io.ReadFull(random, s)
	if err != nil {
		return
	}

	for i := 0; i < len(s); i++ {
		for s[i] == 0 {
			_, err = io.ReadFull(random, s[i:i+1])
			if err != nil {
				return
			}

  - devicePath: /dev/disk/by-id/some-random-clusterb9772-pvc-c2435a06-14d7-11e7-9baf-42010a800049
    name: kubernetes.io/pd/some-random-clusterb9772-pvc-c2435a06-14d7-11e7-9baf-42010a800049
  - devicePath: /dev/disk/by-id/some-random-clusterb9772-pvc-8bf50554-fd42-11e6-94d4-42010a800049
    name: kubernetes.io/pd/some-random-clusterb9772-pvc-8bf50554-fd42-11e6-94d4-42010a800049

  - devicePath: /dev/disk/by-id/some-random-clusterb9772-pvc-c2435a06-14d7-11e7-9baf-42010a800049
    name: kubernetes.io/pd/some-random-clusterb9772-pvc-c2435a06-14d7-11e7-9baf-42010a800049
  - devicePath: /dev/disk/by-id/some-random-clusterb9772-pvc-8bf50554-fd42-11e6-94d4-42010a800049
    name: kubernetes.io/pd/some-random-clusterb9772-pvc-8bf50554-fd42-11e6-94d4-42010a800049

        }
        for sample in samples
    ]

    # Extend the representative dataset with np.ndarrays.
    repr_ds.extend([
        {'tensor_key': np.random.uniform(low=-1.0, high=1.0, size=(3, 3))}
        for _ in range(4)
    ])

    random.shuffle(repr_ds)

    with self.session() as sess:
      new_repr_ds = repr_dataset.replace_tensors_by_numpy_ndarrays(
          repr_ds, sess
      )