* Uses SMB3-compliant nonce generation with guaranteed uniqueness.
     *
     * @return nonce appropriate for the dialect (16 bytes for GCM, 12 bytes for CCM)
     */
    public byte[] generateNonce() {
        final byte[] nonce = new byte[isGCMCipher() ? 16 : 12];

        if (isGCMCipher()) {
            // SMB 3.1.1 GCM: 96-bit random/fixed + 32-bit counter for guaranteed uniqueness
            // Fill first 12 bytes with random data

versioning is done at the bucket level.

Only MinIO generates version IDs, and they can't be edited. Version IDs are simply of `DCE 1.1 v4 UUID 4` (random data based), UUIDs are 128 bit numbers which are intended to have a high likelihood of uniqueness over space and time and are computationally difficult to guess. They are globally unique identifiers which can be locally generated without contacting a global registration authority. UUIDs are intended as unique identifiers for both mass tagging...

/**
 * An interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data,
 * whose edges are <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#uniqueness">unique</a> objects.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing

// hashOrder - hashes input key to return consistent
// hashed integer slice. Returned integer order is salted
// with an input key. This results in consistent order.
// NOTE: collisions are fine, we are not looking for uniqueness
// in the slices returned.
func hashOrder(key string, cardinality int) []int {
	if cardinality <= 0 {
		// Returns an empty int slice for cardinality < 0.
		return nil
	}

        }
        return hash;
    }

    /**
     * Encodes a similar document hash using GZIP compression and Base64 encoding.
     * This reduces storage space for hash values while maintaining uniqueness.
     *
     * @param hash the hash string to encode
     * @return the encoded hash string with prefix, or the original hash if encoding fails
     */
    public String encodeSimilarDocHash(final String hash) {

            assertNotNull(nonce, "Nonce should not be null");
            assertTrue(nonce.length > 0, "Nonce should have length > 0");

            // Convert to string for uniqueness check
            String nonceStr = Arrays.toString(nonce);
            assertFalse(nonces.contains(nonceStr), "Nonce should be unique");
            nonces.add(nonceStr);
        }