* Returns the current sum. The returned value is NOT an atomic snapshot; invocation in
   * the absence of concurrent updates returns an accurate result, but concurrent updates that occur
   * while the sum is being calculated might not be incorporated.
   *
   * @return the sum
   */
  @Override
  public long sum() {
    long sum = base;
    Cell[] as = cells;
    if (as != null) {
      int n = as.length;

        // Expected result calculated manually for HMACT64 with this key and data
        HMACT64 hmac = new HMACT64(key);
        hmac.engineUpdate(data, 0, data.length);
        byte[] result = hmac.engineDigest();

        // Verify it produces a valid MD5 hash (16 bytes)
        assertNotNull(result);
        assertEquals(16, result.length);

        // Calculate the same using manual HMACT64 algorithm

    }

    /**
     * Calculates the LMv2 response for NTLM authentication.
     *
     * @param type2 the Type-2 message containing the server challenge
     * @param domain the domain name
     * @param user the username
     * @param password the user's password
     * @param clientChallenge the client challenge bytes
     * @return the calculated LMv2 response
     */

 * <p>
 * Unlike a cache, this session data is not subject to purging. For this same reason, session data should also not be
 * abused as a cache (i.e. for storing values that can be re-calculated) to avoid memory exhaustion.
 * <p>
 * <strong>Note:</strong> Actual implementations must be thread-safe.
 *
 * @see Session#getData()
 * @since 4.0.0
 */
@Experimental
@ThreadSafe
@Provider

         */
        LIFECYCLE,
    }

    private Source source = Source.LIFECYCLE;

    /**
     * The phase may or may not have been bound to a phase but once the plan has been calculated we know what phase
     * this mojo execution is going to run in.
     */
    private String lifecyclePhase;

    /**

/**
 * MavenExecutionPlan
 */
public class MavenExecutionPlan implements Iterable<ExecutionPlanItem> {

    /*
      At the moment, this class is totally immutable, and this is in line with thoughts about the
      pre-calculated execution plan that stays the same during the execution.

      If deciding to add mutable state to this class, it should be at least considered to
      separate this into a separate mutable structure.

    */

   * Returns the current sum. The returned value is NOT an atomic snapshot; invocation in
   * the absence of concurrent updates returns an accurate result, but concurrent updates that occur
   * while the sum is being calculated might not be incorporated.
   *
   * @return the sum
   */
  @Override
  public long sum() {
    long sum = base;
    Cell[] as = cells;
    if (as != null) {
      int n = as.length;

        }
    }

    @Test
    @DisplayName("Test maxOutputResponse calculation with transaction buffer size")
    void testMaxOutputResponseCalculation() {
        // Test that maxOutputResponse is properly calculated from transaction buffer size
        when(mockConfig.getTransactionBufferSize()).thenReturn(8192);

        Smb2IoctlRequest request = new Smb2IoctlRequest(mockConfig, TEST_CONTROL_CODE);

            throw exception;
        }
    }

    /**
     * Calculates the limit document number based on total, percentage, and number.
     * @param total The total number of documents.
     * @param limitPercentage The limit percentage.
     * @param limitNumber The limit number.
     * @return The calculated limit document number.
     */

- Erasure set is a single erasure coding unit within a MinIO deployment. An object is sharded within an erasure set. Erasure set size is automatically calculated based on the number of drives. MinIO supports unlimited number of drives but each erasure set can be up to 16 drives and a minimum of 2 drives.