} else {
					if _, err = conn.Do("AUTH", args.Password); err != nil {
						conn.Close()
						return nil, err
					}
				}
			}

			// Must be done after AUTH
			if _, err = conn.Do("CLIENT", "SETNAME", "MinIO"); err != nil {
				conn.Close()
				return nil, err
			}

			return conn, nil
		},
		TestOnBorrow: func(c redis.Conn, t time.Time) error {
			_, err := c.Do("PING")
			return err
		},

  interface ConcurrentlyMutatedList<E> extends List<E> {
    /**
     * The elements of a {@link ConcurrentlyMutatedList} are added and removed over time. This
     * method returns every state that the list has passed through at some point.
     */
    Set<List<E>> getAllStates();
  }

  /**
   * Returns a {@link ConcurrentlyMutatedList} that performs the given operations as its concurrent

			if err != nil {
				internalLogIf(ctx, err, logger.WarningKind)
				break
			}

			// Handle if we have some buckets in-memory those are stale.
			// first delete them and then replace the newer state()
			// from disk.
			diskBuckets := set.CreateStringSet()
			for _, bucket := range buckets {
				diskBuckets.Add(bucket.Name)
			}
			sys.RemoveStaleBuckets(diskBuckets)

			for i := range buckets {

   * first decrementing to zero, and then removing. putIfAbsent or replace could observe the
   * intermediate zero-state. Ways we could deal with this are:
   *
   * - Don't define any of the ConcurrentMap operations. This is the current state of affairs.
   *
   * - Define putIfAbsent and replace as treating zero and absent identically (as currently

     */
    public String createdTime;

    /**
     * Version number of the role type.
     */
    public String versionNo;

    /**
     * Clears the pager's state.
     */
    public void clear() {
        allRecordCount = 0;
        allPageCount = 0;
        existPrePage = false;
        existNextPage = false;
        pageSize = getDefaultPageSize();

            doColumn("roles");
        }

        public void columnRoomNumber() {
            doColumn("roomNumber");
        }

        public void columnState() {
            doColumn("state");
        }

        public void columnStreet() {
            doColumn("street");
        }

        public void columnSurname() {
            doColumn("surname");
        }

    private final List<WitnessIPAddress> oldIPAddresses;
    private String clientAccessPoint;
    private int flags;
    private String newNodeAddress;

    // Notification flags
    /** Resource state is unknown */
    public static final int WITNESS_RESOURCE_STATE_UNKNOWN = 0x00000000;
    /** Resource is available for use */
    public static final int WITNESS_RESOURCE_STATE_AVAILABLE = 0x00000001;

            @Nullable Throwable error) {}

    /**
     * If this is an accumulating log, it will "drain" this instance. It returns the accumulated log entries, and
     * also "resets" this instance to empty (initial) state.
     */
    @Nonnull
    default List<Entry> drain() {
        return List.of();
    }

    /*
      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.

    */

    private final List<ExecutionPlanItem> planItem;

        // Wait for completion
        assertTrue(endLatch.await(10, TimeUnit.SECONDS), "All threads should complete");
        executor.shutdown();

        // Then - Session should be in consistent state
        // The double-check pattern should prevent inconsistent cleanup
        assertTrue(releaseCount.get() > 0 || acquireCount.get() > 0, "Release and acquire counts should be processed");
    }

    /**