)

// errOutOfEntropy indicates that the a source of randomness (PRNG) wasn't able
// to produce enough random data. This is fatal error and should cause a panic.

// ObjectKey is a 256 bit secret key used to encrypt the object.
// It must never be stored in plaintext.
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
	}

		},
		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned

#### Randomness

ChaCha8 is the algorithm used for the top-level functions in <code>math/rand/v2</code>.
As of Go 1.22, <code>math/rand</code>'s top-level functions (when not explicitly seeded)
and the Go runtime also use ChaCha8 for randomness.
</ul>

<p>
We plan to include an API migration tool in a future release, likely Go 1.23.
</p>

<h3 id="go/version">New go/version package</h3>

  // Converts absolute paths to paths relative to root_dir_.
  StringPiece GetRelativePath(StringPiece absolute_path) {
    return tensorflow::str_util::StripPrefix(absolute_path, root_dir_);
  }

  // Initializes the randomness used to ensure test isolation.
  static void InitializeTestRNG() {
    std::random_device rd;
    std::mt19937 gen(rd());
    std::uniform_int_distribution<> distribution;
    rng_val_ = distribution(gen);
  }